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Preprint ARTICLE | doi:10.20944/preprints202308.1739.v1

Effects of Age and Season on Blood Parameters of Domesticated Giant Pandas

Ruijie Jiang, Xinyi Zhang, Kai Fan, Maohua Xia, Sufen Zhao, Yunsheng Wang, Tianchun Pu, Chenglin Zhang, Zhong Wu, Haihong Xu

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: giant pandas; seasonal; age; blood Indices; hemorheology

Online: 24 August 2023 (10:10:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.2052.v1

Artificial Intelligence Prediction of Gestational Age of Fetal in Brain Magnetic Resonance Imaging versus ultrasound Using three different Biometric Measurements

Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, Mehmet Kocak, H. Asher Ai, Mark P. Supanich, Seth Adler, Shehbaz M. Ansari, Melih Akyuz, Jubril O. Adepoju, Sharon Byrd

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: Artificial Intelligence; Gestational Age; Fetal Brain; MRI

Online: 31 July 2023 (03:07:23 CEST)

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Abstract: Accurately predicting a fetus's gestational age (GA) is of utmost importance in prenatal care. This study aimed to develop an artificial intelligence (AI) model that can automatically predict GA using biometric measurements derived from fetal brain mag-netic resonance imaging (MRI). Additionally, we aimed to assess the significance of con-sidering different references when interpreting GA predictions. To achieve this, we obtained measurements such as Biparietal Diameter (BPD), Fron-to-occipital Diameter (FOD), and Head Circumference (HC) from a dataset comprising 52 normal fetal MRI cases with T2 Haste sequences from Rush University. Both manual and AI-based methods were utilized to acquire these measurements. We also employed three reference papers (Garel, Freq, and Bio) for comparison purposes. The results demonstrated a strong correlation between manual and AI measure-ments, indicating consistency between the two methods. The AI-based measurement of HC exhibited a higher correlation with actual values compared to BPD, FOD, and correct-ed BPD (BPDC). When comparing these measurements with GA in the Picture Archiving and Communication System (PACS), the differences varied depending on the reference used. Specifically, the differences ranged from 0.47 to 2.17 weeks for BPD, 0.46 to 2.26 weeks for FOD, and 0.75 to 1.74 weeks for HC. Furthermore, the Pearson correlation coeffi-cient analysis revealed that all correlation coefficients between PACS records and GA pre-dictions using different references were greater than 0.97. In conclusion, the AI model based on fetal brain MRI accurately predicts GA by uti-lizing BPD, FOD, and HC measurements. The AI approach, which involves combining line segments to calculate fetal head circumference, offers improved accuracy and con-venience compared to manual estimation. This study underscores the potential of AI models in accurately estimating gestational age and highlights their utility in prenatal care. By integrating AI as a valuable tool in prenatal care, we can enhance the accuracy, ef-ficiency, and decision-making involved in assessing fetal development and monitoring pregnancies using MRI measurements.

Preprint ARTICLE | doi:10.20944/preprints202305.1956.v1

Characteristics of Mental Toughness in Young Basketball Players of Different Age Groups

Eimantas Pocius, Romualdas Malinauskas

Subject: Social Sciences, Psychology Keywords: mental toughness skills; young athletes; age groups

Online: 29 May 2023 (04:04:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0685.v1

Association of Metabolic Syndrome Components with Kidney Cancer in Young Adult Population : A Nationwide Population-Based Cohort Study in Korea

Hee Yeon Lee, Kyung-Do Han, In Sook Woo, Hyuk-Sang Kwon

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: Kidney cancer; Metabolic syndrome; Age; Young adults

Online: 10 May 2023 (04:38:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0868.v1

The Relationship between Number of Supernumerary Blastocysts Cryopreserved and Probability of a Live Birth Outcome after Single Fresh Blastocyst Transfer: Analysis of over 10 Thousand Cycles

Yusuf Beebeejaun, Timothy Copeland, Lukasz Polanski, Tarek El Toukhy

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: IVF; blastocyst transfer; cryopreservation; live birth; age

Online: 25 April 2023 (03:01:55 CEST)

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The ability to predict the likelihood of a live birth after single fresh embryo transfer is important for treatment planning and managing patient expectation, particularly in their first in vitro fertilization (IVF) cycle. Cryopreservation of supernumerary embryos is often regarded as an important prognostic variable and a surrogate marker of success for several reasons. While previous large studies have examined the association between the number of oocytes retrieved and cleavage-stage embryos available, and the odds of a live birth following a fresh embryo transfer, the relationship between the number of supernumerary blastocysts cryopreserved following a fresh embryo transfer has not been rigorously studied. We performed a retrospective analysis of data collected between 2006 and 2018 for all first time IVF patients with a fresh autologous day 5 single blastocyst transfer. The relationship between the likelihood of a live birth and number of supernumerary blastocysts cryopreserved was assessed according to patient age group. In patients aged <35 years and 35-39 years old, the likelihood of a live birth increased linearly from 0.33 (95%CI:0.31–0.34) to 0.80 (95%CI:0.74–0.86; P<.0001) and 0.30 (95%CI:0.28–0.32) to 0.82 (95%CI:0.73–0.91;P<.0001) between 1-6 blastocysts cryopreserved and then non-linearly to 0.95 (95% CI 0.92–0.97; P<.0001) and 0.96 (95%CI:0.93–0.99; P<.0001) if 10 or more blastocysts were cryopreserved, respectively. When aged 40 years and above, the likelihood of a live birth increased linearly from 0.26 (95%CI:0.19–0.32) to 0.83 (95%CI:0.68–0.97; P<.0001) between 1-4 blastocysts cryopreserved and then non-linearly to 0.99 (95%CI:0.98–0.99; P<.0001) if 10 or more blastocysts were cryopreserved. The present study demonstrated a non-linear relationship between the number of supernumerary blastocysts cryopreserved and the likelihood of a live birth after single blastocyst transfer in the first autologous fresh IVF/ICSI cycle across different age groups.

Preprint ARTICLE | doi:10.20944/preprints202201.0019.v1

Glacier Recession in Altay Mountains after the LIA Maximum

Dmitry Ganyushkin, Kirill Chistyakov, Ekaterina Derkach, Dmitriy Bantcev, Elena Kunaeva, Anton Terekhov, Valeriia Rasputina

Subject: Environmental And Earth Sciences, Environmental Science Keywords: glaciers; Little Ice Age; reconstruction; retreat; Altai

Online: 4 January 2022 (20:30:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202103.0210.v1

Metabolomic Characterization of Olive Xylem Sap Reveals Differences According to Plant Age and Genotype

Manuel Anguita-Maeso, Carmen Haro, Miguel Montes-Borrego, Leonardo De La Fuente, Juan A. Navas-Cortés, Blanca B. Landa

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: olive; xylem sap; metabolomics; plant age; genotype

Online: 8 March 2021 (10:56:37 CET)

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Vascular pathogens are the causal agents of main diseases threatening the health and growth of olive crops worldwide. The use of endophytic microorganisms represents a challenging and promising strategy for management of vascular diseases in olive. Although current research has been focused on analyzing the structure and diversity of the endophytic microbial communities inhabiting the olive xylem, the characterization of this ecological niche has been overlooked and to date remain unexplored, despite that the characterization of the xylem sap composition is essential to unravel the nutritional requirements of xylem-limited microorganisms. In this study, branches from plantlets and adult olive trees of cultivars ‘Picual’ and ‘Arbequina' were selected to characterize the chemical composition of olive xylem sap extracted using a Scholander pressure chamber. Metabolome and ionome analyses of xylem sap were performed by proton nuclear magnetic resonance (NMR) spectroscopy-based and by inductively coupled plasma with optical emission spectroscopy (ICP-OES), respectively. Olive xylem sap metabolites included a higher relative percentage of sugars (54.35%), followed by alcohols (28.85%), amino acids (8.01%), organic acids (7.68%) and osmolytes (1.12%). Within each of these groups, the main metabolites in the olive xylem sap were mannitol, ethanol, glutamine, acetate and trigonelline, whereas K and Cl- were the main element and inorganic anion, respectively. Metabolomic profile varied when comparing olive plant age and genotype. The levels of glucose, fructose, sucrose and mannitol, choline, B and PO43 were significantly higher in adult trees than in plantlets for both olive genotypes, whereas NO3- and Rb content showed the opposite behavior. On the other hand, levels of aspartate, phenylalanine and Na were significantly higher in ‘Picual’ than in ‘Arbequina’ whereas Fe showed the opposite behavior but only for adult trees. Non-supervised hierarchical clustering analysis separated xylem sap composition firstly according to the plant age and then by the olive cultivar. Supervised PLS-DA analysis revealed that B, ethanol, Fe, Fructose, glucose, mannitol, sucrose and Sr were the most significative compounds discriminating adult trees from plantlets, whereas asparagine, aspartate, glutamate and phenylalanine or aspartate, arginine, ethanol and Sr were the most contributory compounds in the discrimination of both olive genotypes for adult trees or plantlets, respectively. Knowledge of the chemical composition of xylem sap will lead to a better understanding of the complex nutritional requirements of olive xylem-inhabiting microorganisms, including its vascular pathogens, and would allow the design of artificial growing media to improve culturing the olive microbiome.

Preprint ARTICLE | doi:10.20944/preprints201808.0025.v1

Health and Aging: Unifying Concepts, Scores, Biomarkers and Pathways

Georg Fuellen, Ludger Jansen, Alan A. Cohen, Walter Luyten, Manfred Gogol, Andreas Simm, Nadine Saul, Francesca Cirulli, Alessandra Berry, Peter Antal, Rüdiger Köhling, Steffen Möller

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: terminology, health, aging, biological age, wellbeing, biomarker

Online: 1 August 2018 (15:00:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0107.v1

Fibonacci Sequences, Symmetry and Ordering in Biological Patterns, Their Sources, Information Origin and the Landauer Principle

Edward Bormashenko

Subject: Physical Sciences, Biophysics Keywords: biology; symmetry; asymmetry; periodic ordering; aperiodic ordering; Curie principle; information; Landauer principle; continuous measure of symmetry; Shannon measure of symmetry.

Online: 4 August 2022 (08:54:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0396.v1

Estimating Destination of Bus Trips Considering Trip Type Characteristics

Soongbong Lee, Jongwoo Lee, Bumjoon Bae, Daisik Nam, Seunghoon Cheon

Subject: Engineering, Civil Engineering Keywords: public transit transaction data; estimation of destination operation information; categorization of trip types; trip chain; travel pattern; historical travel data

Online: 23 September 2021 (08:39:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0394.v1

Inevitability and Incompleteness of the Second Law of Thermodynamics in the Expanding Universe

Vladimir Kulish, Vasily Novozhilov

Subject: Physical Sciences, Quantum Science And Technology Keywords: Second Law of thermodynamics; Universe as a closed thermodynamic system; entropy of the Universe; temperature of the Universe; quantum state of the Universe; information within the Universe; complexity of the Universe

Online: 26 September 2022 (10:40:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1171.v1

CLEAR: Pilot Testing of a Tool to Standardize Assessment of the Quality of Health Information Generated by Artificial Intelligence-Based Models

Malik Sallam, Muna Barakat, Mohammed Sallam

Subject: Public Health And Healthcare, Other Keywords: Health Information Quality; AI-generated Health Information; AI in Healthcare; Health Information Reliability; Assessment Tool Feasibility

Online: 20 November 2023 (07:24:54 CET)

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Artificial intelligence (AI)-based conversational models, such as ChatGPT, Microsoft Bing, and Google Bard, emerged as valuable sources of health information for the lay individuals. However, the accuracy of information provided by these AI models remains a significant concern. This pilot study aimed to test a new tool referred to as “CLEAR”, designed to assess the quality of health information delivered by AI-based models. Tool development involved a literature review on health information quality, followed by initial establishment of the CLEAR tool comprising five items that aimed to assess the following: completeness of content in response to the prompt, lack of false information, evidence support, appropriateness, and relevance of the generated content. Each item was scored on a 5-point Likert scale from excellent to poor. Content validity was checked by expert review of the initial items. Pilot testing involved 32 healthcare professionals using the CLEAR tool to assess content on eight different health topics deliberately designed with varying qualities. The internal consistency was checked using the Cronbach α. Feedback through the pilot test resulted in language modifications to improve the clarity of the items. The final CLEAR tool was used to assess health information quality generated through four different AI-based models in five different, yet common health topics. The AI models were ChatGPT 3.5, ChatGPT 4, Bing, and Bard, and the content generated was scored by two independent raters with Cohen κ to assess the inter-rater agreement. The final five CLEAR items were: (1) Is the content sufficient? (2) Is the content accurate? (3) Is the content evidence-based? (4) Is the content clear, concise, and easy to understand? and (5) Is the content free from irrelevant information? Pilot testing using the eight different health topics revealed an acceptable internal consistency with a Cronbach α range of 0.669–0.981. The use of the final CLEAR tool yielded the following average scores: Bing (mean=24.4±0.42), ChatGPT-4 (mean=23.6±0.96), Bard (mean=21.2±1.79), and ChatGPT-3.5 (mean=20.6±5.20). The inter-rater agreement revealed the following Cohen κ values: for ChatGPT-3.5 (κ=0.875, P<.001), ChatGPT-4 (κ=0.780, P<.001), Bing (κ=0.348, P=.037), and Bard (κ=.749, P<.001). The CLEAR tool is a brief yet helpful tool that can aid to standardize testing of the quality of health information generated by the AI-based conversational models. Future studies are recommended to validate the utility of the CLEAR tool to assess the quality of the AI-generated health-related content using a larger sample across various complex health topics.

Preprint ARTICLE | doi:10.20944/preprints202308.0731.v1

Carving Nature at its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory

Johnjoe McFadden

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: Integrated Information Theory

Online: 9 August 2023 (07:11:13 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202310.0301.v1

Energy Efficient Buildings in the Industry 4.0 Era: A Review

Muhammad Bilal, Muhammad Afzal, Muhammad Irfan, Muhammad Ali Musarat

Subject: Engineering, Architecture, Building And Construction Keywords: Internet of Things (IoTs); Artificial Intelligence (AI); Digital Twin; Building Information Modeling (BIM); Industry 4.0

Online: 6 October 2023 (06:03:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0464.v1

Evidence Based Pharmaceutical Care in Community Pharmacies: A Survey of 595 French Pharmacists

Louis Bosson, Francesca Veyer, Jean-Didier Bardet, Céline Vermorel, Alison Foote, Benoit Allenet, Jean-Luc Bosson

Subject: Public Health And Healthcare, Primary Health Care Keywords: Evidence based practice; Pharmaceutical care; Community pharmacy; France; Over-the-counter medication; sources of information

Online: 7 August 2023 (10:45:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0065.v2

Further Developing the Judicial System Utilizing Cloud, VOIP, and Videoconferencing

S. M. Nazmuz Sakib

Subject: Computer Science And Mathematics, Information Systems Keywords: access to justice; cost of justice; judicial system; videoconferencing; judicial information system; litigants; internet technologies

Online: 11 April 2022 (10:10:21 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202111.0418.v1

Autopoietic Machines with Structural Information Processing

Rao Mikkilineni, Mark Burgin

Subject: Computer Science And Mathematics, Information Systems Keywords: general theory of information; named set; knowledge structure; structural machine; autopoietic machine; multi-cloud infrastructure.

Online: 23 November 2021 (10:42:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0306.v1

Tri-State: From Shannon to Galois Fields in Communication Systems

Ed Gerck

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: communication; information; tri-state, Galois field; quantum; qubit; qutrit; qudit; trust; interconnect; out-of-band

Online: 12 April 2021 (13:06:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0418.v1

The Legal Stability as a Factor of Economic and Financial Market Growth: Russia, USA and China

Roman Chikulaev

Subject: Social Sciences, Law Keywords: economic indicators; financial markets; business rights; law; responsibilities of business; legal stability; information security; factors

Online: 17 December 2020 (08:00:57 CET)

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Preprint REVIEW | doi:10.20944/preprints202305.0036.v1

A Review of Transformer Fault Diagnosis Based on Information System Theory and Machine Learning

Xiaoli Huang, Yumiao Yuan, Jingyu Li

Subject: Computer Science And Mathematics, Computer Science Keywords: transformer fault diagnosis; information system theory; information entropy; machine learning

Online: 2 May 2023 (01:27:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0399.v1

EXP-SC: A Semantic Communication Model Based on Information Framework Expansion and Knowledge Collision

Gangtao Xin, Pingyi Fan

Subject: Engineering, Electrical And Electronic Engineering Keywords: semantic information theory; semantic communications; information theory; 6G; game theory

Online: 26 October 2022 (04:08:59 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202002.0301.v1

The World as a Quantum Information Processor

Carlos Maldonado

Subject: Physical Sciences, Quantum Science And Technology Keywords: Quantum Information Processing; Living Systems; Non-algorithmic Information; Complexity Theory

Online: 21 February 2020 (02:58:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints201801.0262.v1

Index Cost Estimation Using Case Based Reasoning Model Based on Macro BIM

Krzysztof Zima, Agnieszka Leśniak

Subject: Engineering, Civil Engineering Keywords: Building Information Modeling; Case Based Reasoning; cost estimating; information management

Online: 28 January 2018 (16:43:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0127.v1

Correlation of Cataract Prevalence according to Ultraviolet Amount in Korean Adults

Hee-Jeong Jang, Joong-Gu Kang

Subject: Health Policy And Services, Public Health And Healthcare Keywords: Cataracts; sunlight exposure time; gender; age; education; residence

Online: 2 May 2024 (10:12:25 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.1771.v1

Evidence of Age Estimation Procedures in Forensic Dentistry: Results from an Umbrella Review

João Albernaz Neves, Luísa Bandeira Lopes, Vanessa Machado, João Botelho, Ana Delgado, José João Mendes

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: forensic dentistry; age estimation; dental maturation; umbrella review

Online: 27 October 2023 (09:26:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1105.v1

MethylRAD-Seq Technology Reveals DNA Methylation Charac-Teristics of Apostichopus japonicus of Different Ages

Xinyu Yang, Lingshu Han, Qi Ye, Hao Wang, Jinyuan Zhang, Wenpei Wang, HaoRan Xiao, Yongjie Wang, Luo Wang, Jun Ding

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: MethylRAD-Seq; A. japonicus; body wall; age identification

Online: 18 October 2023 (08:21:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0990.v1

Lipid Profile in Children Born Small for Gestational Age

Justyna Zamojska, Katarzyna Niewiadomska-Jarosik, Beata Kierzkowska, Marta Gruca, Agnieszka Wosiak, Elżbieta Smolewska

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: children; lipid profile; cholesterol; small for gestational age

Online: 14 September 2023 (14:05:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0524.v1

From Immunosenescence to Aging Types – Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation

Peter Bröde, Maren Claus, Patrick D Gajewski, Stephan Getzmann, Edmund Wascher, Carsten Watzl

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: immunosenescence; biological age; biomarker; flow cytometry; longitudinal study

Online: 7 August 2023 (10:05:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.1115.v1

A Paradigm Shift in the Entertainment Industry in the Digital Age: A Critical Review

Dr. Bharat Dhiman

Subject: Arts And Humanities, Film, Radio And Television Keywords: media; digital media; entertainment; paradigm shift; digital age

Online: 15 June 2023 (09:40:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0738.v1

Effects of Physical Activity Program on Body Composition, Physical Performance, and Neuromuscular Strategies During Walking in Older Adults With Sarcopenic Obesity: Randomized Controlled Trial

Hamza FERHI, Sabri GAIED CHORTANE, Sylvain DURAND, Bruno BEAUNE, Sebastien BOYAS, Wael MAKTOUF

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: age; obesity; gait; physical activity; neuromuscular system; sarcopenia

Online: 12 June 2023 (03:02:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2151.v1

A Class of Models That Support a Maximum Entropy Principle for Age Structure

Henri Laurie

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Population dynamics; age structure; entropy; Maximum Entropy Principle

Online: 30 May 2023 (13:20:58 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202107.0075.v1

Accurate Epigenetic Aging in Bottlenose Dolphins (Tursiops Truncatus), an Essential Step in the Conservation of at-Risk Dolphins.

Ashley Barratclough, Cynthia R. Smith, Forrest M. Gomez, Theoni Photopoulou, Ryan Takeshita, Enrico Pirotta, Len Thomas, Abby M. McClain, Celeste Parry, Joseph A Zoller, Steve Horvath, Lori H Schwacke

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: DNA methylation; epigenetic aging; bottlenose dolphin; chronological age

Online: 5 July 2021 (07:59:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0200.v1

Comparison of Gender, Age, and Body Mass Index Levels for Spatiotemporal Parameters of Bilateral Gait Pattern

Turki S. Abualait, Mohammad Ahsan

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: spatiotemporal parameters; gait; gender; age; Body Mass Index

Online: 9 September 2020 (07:12:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0367.v1

Epidemiological Characteristics of Early COVID-19 Case Outbreaks in Indonesia

Abu Bakar, Triyono Indrasiwi Kuncoroaji, Andy Lee, Shih-Chieh Lee, Valendriyani Ningrum

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Confirmed cases, case fatality rate, province, age, gender.

Online: 17 July 2020 (06:24:55 CEST)

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The initial outbreak of COVID-19 was first reported in Wuhan (China) during the latter part of December 2019. Indonesia has the fourth-largest population globally and reported the country’s first case of the virus on 2nd March 2020. The World Health Organisation (WHO) in addition to several neighbouring provinces and educational institutions within the region began questioning the Indonesian government upon the initial case reported. The objective of this study was to describe the epidemiological characteristics of the COVID-19 outbreak in Indonesia during March 2020. The data were collected from Indonesian government databases and non-government organisations (NGOs). The data were analysed using Microsoft Office 2019 (Excel) and Adobe Illustrator 2017 software, was used in drawing the map depicting the distribution of COVID-19 in Indonesia. As at 31st March 2020, a total of 1,528 people in Indonesia have been infected by COVID-19, in addition to 136 mortalities (CFR of 8.9%). Jakarta, as the principal capital of Indonesia, quickly has become the epicentre of the virus since this period. Most patient cases were attributed to those aged between 31 and 70 years (72.64%), with male patients (64.93%) representing the highest incidence of cases compared to female patients (35.07%). The number of ventilating machines was 3,326, with hospital numbers at 859. The distribution of cases depicting COVID-19 was mainly seen in urban areas compared to rural areas. Males compared to females, are at a higher risk of contracting COVID-19, including those aged below 30, between 30 and 60 or above. Indonesia also has the highest case fatality rate (CFR) with respect to mortalities in Southeast Asia and has the second-highest CFR globally. Similarly, while the number of ventilator machines as at 31st March 2020 were sufficient in meeting the growing number of COVID-19 cases in the country, it is possible that the government may need to increase the number of ventilators if the cases continue to escalate.

Preprint ARTICLE | doi:10.20944/preprints201911.0335.v1

Socio-Moral Development of Preschool Children: Aspects of Theory and Practice

Evgenia Korotaeva, Irina Chugaeva

Subject: Social Sciences, Psychology Keywords: social and moral education; preschool age; communitarian approach

Online: 27 November 2019 (08:46:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints201902.0106.v1

Comparative Assessment of Age, Growth and Food Habit of the Black-Chinned Tilapia, Sarotherodon melanotheron (Rüppell, 1852), from Closed and Open Lagoons, Ghana

Cephas Kwesi Zuh, Seth Mensah Abobi, Benjamin Betey Campion

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Ghana; lagoon; tilapia; fish growth; otoliths; age; food

Online: 12 February 2019 (17:14:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0187.v1

Determining Oil Palm Stands Age Using Multi Temporal Images Analysis

Anggoro Cahyo Fitrianto, Doddy Mendro Yuwono, Arif Darmawan, Koji Tokimatsu

Subject: Environmental And Earth Sciences, Environmental Science Keywords: remote sensing; multi-temporal; Landsat; age; canopy; FCD

Online: 9 October 2018 (11:33:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0122.v1

Spatial and Age Related Effects on Phytochemical Compounds of Ethanolic Extract of Gigantochloa scortechinii Rhizome

Johar Mohamed, Hazandy Abdul Hamid, Ahmad Ainuddin Nuruddin, Nik Muhammad Nik Abdul Majid

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: spatial; age-related; phytochemical; bamboo; rhizome; GC-MS

Online: 7 September 2018 (03:01:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201712.0137.v1

Gimbutas’ Smile – An Archaeology Led, Archaeogenetic Model

Bob Kenyon

Subject: Arts And Humanities, Archaeology Keywords: Archaeology; Archaeogenetic Model; Neolithic; Chalcolithic; Bronze Age; Migration

Online: 19 December 2017 (15:49:22 CET)

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Migrations are much more important than currently recognised, for explaining important patterns observed in the European archaeology record – according to this archaeology led model. At a high level, they explain the introduction of different farming, monument building, the spread of metalworking and patterns of trade and exchange. This paper presents an archaeogenetic model based on a strategic review of the Neolithic and Chalcolithic archaeology of Europe, alongside a review of recently published ancient DNA data. The model is archaeology led. It takes archaeology themes and proposes migratory events to explain them. Ancient DNA data and further archaeology evidence is then used to test these proposed migrations- to reject or refine them. The model introduces a new and more strategic way of looking at archaeological cultures - that updates early 20th century approaches to studying archaeology cultures, and integrates with the detailed ‘post processual’ studies of the late 20th Century. The model consists of seven maps – each showing multiple migration events – with key evidence to support each migration map. It proposes a new category of a ‘Black Sea’ related population that makes a major genetic contribution to the Middle Neolithic of Europe. The proposed migrations provide an explanation for the observed patterns of archaeology, for example: • multiple Neolithic migrations that introduced, farming and metalworking into Europe; • a major ‘Black Sea’ related ‘Middle Neolithic’ migration that carried advanced knowledge of astronomy that can be recognised in a variety of types of monument from the Neolithic through to Bronze Age Europe; and, • migrations of related cultures (‘supercultures’) that explain patterns of trade and exchange in Bronze Age western Europe. The model also provides ancient DNA and archaeology based support for the key aspects of Childe’s ‘dawn of civilisation’ in Europe and Egypt and Gimbutas’ ‘Old Europe’ and “three waves of migration from the Steppe”.

Preprint ARTICLE | doi:10.20944/preprints201709.0016.v1

Responses of Soil Microbial Communities to Robinia Pseudoacacia Plantations of Different Ages in A Loess Area

Bingxue Zhang, Rumeng Zhao, Boyuan Bi, Fengpeng Han

Subject: Biology And Life Sciences, Forestry Keywords: soil; Robinia pseudoacacia; PLFA; stand age; microbial community

Online: 5 September 2017 (15:28:05 CEST)

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Phospholipid fatty acids (PLFAs) can be used as biomarkers for qualitative and quantitative analyses of soil microbial community diversity. In this study, we collected soil samples at 10-cm intervals to a depth of 1 m from Robinia pseudoacacia plantations of four different ages (10, 15, 25 and 40 years) in a loess area and analysed the soil microbial community structure by PLFA analysis. A total of 97 PLFAs were detected in soils of R. pseudoacacia plantations of different ages. The individual PLFA contents gradually decreased in the 0- to 40-cm soil layers, with little variation in the 40- to 100-cm soil layers. The individual PLFAs were similarly distributed in the soils of R. pseudoacacia plantations of different ages, and there was a clear variation with stand age and soil depth. The individual PLFA contents in the 0- to 20-cm soil layers were highest for the 25-year-old plantation, while those in the 20- to 40-cm soil layers were relatively high for the 25- and 40-year-old plantations; the 16:0 content was the highest among individual PLFAs. The total PLFA content and the PLFA contents of different microbial groups [bacteria, fungi, Gram-positive bacteria (G⁺), Gram-negative bacteria (G^-) and actinomycetes] initially increased before decreasing in the soils of R. pseudoacacia plantations with increasing stand age, whereas these contents gradually decreased with increasing soil depth; the highest PLFA contents was found in the 25-year-old plantation. The total PLFA content and the contents of fungal, G^- and actinomycete PLFAs in the soils of R. pseudoacacia plantations differed significantly among stands of different ages in the 0- to 10-cm, 10- to 20-cm and 30- to 40-cm soil layers, while no significant differences were found in the 20- to 30-cm soil layers; the G⁺ and bacterial PLFAs contents in each of the 0- to 40-cm soil layers were significantly different. The PLFA ratios between different microbial groups differed among the stands of different ages. The fungi/bacteria ratio showed a “decrease-increase-decrease” trend with stand age, while the G⁺/G^- ratio showed an “increase-decrease” trend. The saturated/monounsaturated PLFA ratio initially decreased before plateauing, while the opposite trend was observed for the cyclopropyl/precursor ratio. The PLFA contents of different microbial groups were ranked as follows: bacteria > G^- > G⁺ > actinomycetes > fungi. In the principle component analysis, 18:1ω9c, 10Me18:0, i17:0, a17:0, 18:1ω7c, 18:1ω5c and 18:0 made the greatest contribution to principal component 1, and a14:0, i14:0 3OH, i14:0, i14:1ω7c and 14:0 made the greatest contribution to principal component 2. In conclusion, soil nutrient status and other soil eco-environmental stress factors should be considered in 10- to 25-year-old (particularly ~15-year-old) plots for the management of R. pseudoacacia plantations to prevent forest soil degradation and improve forest stand quality, thereby achieving better soil and water conservation and environmental improvement in R. pseudoacacia plantations.

Preprint ARTICLE | doi:10.20944/preprints201812.0203.v1

The Origin of Prebiotic Information System in the Peptide/RNA World: A Simulation Model of the Evolution of Translation and the Genetic Code

Sankar Chatterjee, Surya Yadav

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: peptide/RNA world; prebiotic information system; translation and the genetic code; coevolution of translation machine and the genetic code; MVC architecture pattern and biological information; numerical codons; AnyLogic software for computer simulation of translation machine

Online: 17 December 2018 (16:03:16 CET)

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Information is the currency of life, but the origin of prebiotic information remains a mystery. We propose transitional pathways from the cosmic building blocks of life to the complex prebiotic organic chemistry that led to the origin of information systems. The prebiotic information system, specifically the genetic code, is segregated, linear, and digital and probably appeared during biogenesis four billion years ago. In the peptide/RNA world, lipid membranes randomly encapsulated amino acids, RNA, and protein molecules, drawn from the prebiotic soup, to initiate a molecular symbiosis inside the protocells. This endosymbiosis led to the hierarchical emergence of several requisite components of the translation machine: tRNAs, aaRS, mRNAs, and ribosomes. When assembled in the right order, the translation machine created biosynthetic polypeptides, a process that transferred information from mRNAs to proteins. This was the beginning of the prebiotic information age. The molecular attraction between tRNA and amino acids led to different stages of the translation machines and the genetic code. tRNA is an ancient molecule that designed and built mRNA for storing the information of its cognate amino acid. Each mRNA strand became the storage device for the genetic information that encoded the amino acid sequences in triplet nucleotides. As information appeared in the digital languages of the codon within mRNA, and the genetic code for protein synthesis evolved, the prebiotic chemistry then became more organized and directional. The origin of the genetic code is enigmatic; herein we propose an evolutionary explanation: the demand for a wide range of specific enzymes in the peptide/RNA world was the main selective pressure for the origin of information-directed protein synthesis. We review three main concepts on the origin and evolution of the genetic code: the stereochemical theory, the coevolution theory, and the adaptive theory. These three theories are compatible with our coevolution model of the translation machines and the genetic code. We suggest biosynthetic pathways as the origin of the specific translation machines which provided the framework for the origin of the genetic code. During translation, the genetic code developed in three stages coincident with the refinement of the translation machines: GNC code developed by the pre-tRNA/pre-aaRS /pre-mRNA machine, SNS code by the tRNA/aaRS/mRNA machine, and finally the universal genetic code by the tRNA/aaRS/mRNA/ribosome machine. Our hypothesis provides the logical and incremental steps for the origin of the programmed protein synthesis. In order to understand the prebiotic information system better, we converted letter codons into numerical codons in the Universal Genetic Code Table. We have developed a software called CATI (Codon-Amino Acid-Translator-Imitator) to translate randomly chosen numerical codons into corresponding amino acids and vice versa. This conversion has granted us insight into how the translation might have worked in the peptide/RNA world. There is great potential in the application of numerical codons to bioinformatics such as barcoding, DNA mining, or DNA fingerprinting. We constructed the likely biochemical pathways for the origin of translation and the genetic code using the Model-View-Controller (MVC) software framework, and the translation machinery step-by-step. Using AnyLogic software we were able to simulate and visualize the entire evolution of the translation machines and the genetic code. The results indicate that the emergence of the information age from the peptide/RNA world was a watershed event in the origin of life about four billion years ago.

Preprint ARTICLE | doi:10.20944/preprints202403.0012.v1

Flexible Techniques to Detect Typical Hidden Errors in Large Longitudinal Datasets

Renato Bruni, Cinzia Daraio, Simone Di Leo

Subject: Computer Science And Mathematics, Computer Science Keywords: big data; information processing; information reconstruction; data quality: longitudinal data sequences

Online: 1 March 2024 (10:33:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0143.v1

Revealing Trade off Relations Among Thermal Coherences and Correlations in Heisenberg XXX Model Under Inhomogeneous Magnetic Eld

Asad Ali, Mustansar N Nadeem, A.H Toor, Junaid Ulhaq, Shah Ahad

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: Quantum Information; Quantum FIsher Information; Negativity; First Order Coherence; Heisenberg Model

Online: 8 November 2021 (13:24:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0288.v1

Irreversible Physical Process and Information Height

Qin Liu, Quan Tang, Yuling Yi, Yu Feng

Subject: Physical Sciences, Acoustics Keywords: time’s arrow; irreversible physical process; self-information; Shannon entropy; information height

Online: 15 January 2021 (12:30:33 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202009.0233.v1

Gravitational Waves Carry Information about the Infalling Matter out of Black Holes: a Resolution of the Black Hole Information Paradox

Xueyi Tian

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: black holes; information paradox; Hawking radiation; information loss; gravitational waves; entropy

Online: 10 September 2020 (10:04:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0297.v1

Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels

Agnieszka Pregowska

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: information source; information transmission rate; fluctuations; entropy; standard deviation; spike-trains

Online: 14 July 2020 (10:57:02 CEST)

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(1) Background: In nervous system information is conveyed by a sequence of action potentials, called spikes-trains. As MacKay and McCulloch proposed, spike-trains can be represented as bits sequences coming from Information Sources. Previously, we studied relations between Information Transmission Rates (ITR) carried out by the spikes, their correlations, and frequencies. Here, we concentrate on the problem of how spikes fluctuations affect ITR. (2) Methods: The Information Theory Method developed by Shannon is applied. Information Sources are modeled as stationary stochastic processes. We assume such sources as two states Markov processes. As a spike-trains' fluctuation measure, we consider the Standard Deviation sigma, which, in fact, measures average fluctuation of spikes around the average spike frequency. (3) Results: We found that character of ITR and signal fluctuations relation strongly depends on the parameter s which is a sum of transitions probabilities from no spike state to spike state and vice versa. It turned out that for smaller s (s<1) the quotient ITR\sigma has a maximum and can tend to zero depending on transition probabilities. While for s large enough (1<s) the ITR\sigma is separated from 0 for each s. Similar behavior was observed also when we replaced Shannon entropy terms in Markov entropy formula by their approximation with polynomials. We also show that the ITR quotient by Variance behaves in a completely different way. (4) Conclusions: Our results show that for large transition parameter s the Information Transmission Rate by sigma will never decrease to zero. Specifically, for 1<s<1.7 the ITR will be always, independently on transition probabilities which form this s, above the level of fluctuations, i.e. in this case we have sigma<ITR. Thus, we conclude that in a more noisy environment, to get appropriate reliability and efficiency of transmission, Information Sources with higher tendency of transition from the state no spike to spike state and vice versa should be applied.

Preprint ARTICLE | doi:10.20944/preprints202005.0167.v1

Applying Onicescu Information Energy for Gray Level Image Segmentation

Vasile Patrascu

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: neutrosophic information; Onicescu information energy; image segmentation; gray level image threshold

Online: 10 May 2020 (14:41:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0277.v1

Practical Cyber Threat and OSINT Analysis based on Implementation of CTI Sharing Platform

Ibrahim Alzahrani, Seokhee Lee, Kyounggon Kim

Subject: Security Systems, Computer Science And Mathematics Keywords: Cybercrime; Cyber investigation; Cyber Threat Intelligence; Indicator of compromised; Malware Information Sharing Platform; Intelligence Sharing Platform

Online: 6 May 2024 (09:34:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0255.v1

Ladderpath Approach: How Tinkering and Reuse Increase Complexity and Information

Yu Liu, Zengru Di, Philip Gerlee

Subject: Physical Sciences, Thermodynamics Keywords: Complexity; Syntactic information; Shannon entropy; Kolmogorov complexity; Hierarchy; Module; Origin of life; Alien signal; Language; Evolution

Online: 18 July 2022 (09:06:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0247.v1

Infusing Autopoietic and Cognitive Behaviors into Digital Automata to Improve their Sentience, Resilience and Intelligence

Rao Mikkilineni

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence; Symbolic Computing; Sub-symbolic Computing; Super-symbolic Computing; Knowledge Networks; General Theory of Information

Online: 15 November 2021 (10:41:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0386.v1

Evaluating GraphQL and REST API Services Performance in a Massive and Intensive Accessible Information System

Armin Lawi, Benny L. E. Panggabean, Takaichi Yoshida

Subject: Computer Science And Mathematics, Information Systems Keywords: information systems; middleware applications; Application Programming Interfaces (APIs); web services; Quality of Services (QoS); performance evaluation

Online: 22 September 2021 (13:29:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0137.v1

Real-time Production and Logistics Self-adaption Scheduling based on Information Entropy Theory

Wenchao Yang, Wenfeng Li, Yulian Cao, Yun Luo, Lijun He

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: industrial internet of things; random job arrival time; information entropy theory; self-adaption; real-time scheduling

Online: 6 August 2020 (06:00:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0153.v1

Spatial Distribution of COVID-19 in Honduras at the Early Phase of the Pandemic Using Geographic Information Systems (GIS)

Lysien I. Zambrano, Manuel Antonio Sierra-Santos, Homer Mauricio Mejía-Santos, Elsa Yolanda Palou, Fausto Muñoz-Lara, Ivette Lorenzana, Tito Alvarado, Itzel Carolina Fuentes-Barahona, Glaucia Luciano da Veiga, Ivan Rodriguez-Nuñez, Víctor Manuel Valladares-Rosa, Arturo Gerardo Corrales-Alvarez, Kovy Arteaga-Livias, D. Katterine Bonilla-Aldana, Alfonso J. Rodriguez-Morales

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: SARS-CoV-2; COVID-19; geographical information systems (GIS); coronavirus; epidemiology of infectious diseases; public health.

Online: 12 June 2020 (12:36:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0291.v1

Multidimensional Machine Learning on 2173 COVID-19 Patients in Vietnam

Tue Trong Nguyen *, Tu Cam Ho *, Huong Thi Thu Bui *, Ulrike Protzer, Van Thanh Ta

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; Multidimensional Analysis; HCA; Hierarchical cluster analysis; regression analysis; mild; moderate; severe; Age; Score index of the chest X-ray; percentage and quantity of neutrophils; Albumin; C reactive protein; ratio of Lymphocytes

Online: 20 September 2022 (04:50:36 CEST)

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INTRODUCTION: The purpose of the study was to determine (a) the overall preclinical character; (b) the cumulative cutoff values and the risk ratio, and (c) the factors associated with severity by a unidimensional and multidimensional analysis on 2173 Sars-Cov2 patients. METHODS: The machine learning study population consisted of 2173 patients (1587 mild and non symptoms patients, 377 moderate patients, 209 severe patients). The status of the patients was recorded from September 2021 to March 2022. RESULTS: The Covid19 Severity directly links with a significant correlation to Age, Score index of the chest X-ray, percentage and quantity of neutrophils, Albumin, C reactive protein, and ratio of Lymphocytes. Their important cut off values (from regression analysis) respectively are: 77.56 years old (the mild-moderate group), 5.53 (the mild-moderate group) and 10.51 (the moderate-severe group), 84.80% (the mild-moderate group) and 87.74%(the moderate-severe group), 11.77G/L (the moderate-severe group), 29.73g/L (the moderate-severe group), 7.46mg/dL (the mild-moderate group), 6.32% (the moderate-severe group). Their significant (p<0.0001) R score correlation with the severity of Covid19, are: 0.44, 0.52 and 0.52, 0.33 and 0.44, 0.42, -0.43, 0.40, -0.41. Their significant risk ratio (p<0.00001) from the meta-analysis, respectively are: 4.19 [3.58-4.95], 3.29 [2.76-3.92] and 3.03 [2.4023;3.8314], 3.18 [2.73-3.70] and 3.32 [2.6480;4.1529], 3.15 [2.6153;3.8025], 3.4[2.91-3.97], 0.46 [0.3650;0.5752] (p<0.00001), 0.34 [0.2743;0.4210]. The pair ALT – Leucocytes and Transferrin – Anion Chloride get the most important correlation shift. ALT – Leucocytes show the important negative link (R=-1, p<0.00001) in the mild group to the significant positive correlation in the moderate group (R=1, p<0.00001). Transferrin–anion Chloride has an important positive association (R=1, p<0.00001) in the mild group with a significant negative correlation in the moderate group (R=-0.59, p<0.00001). The network map and HCA show that in the mild-moderate group, the closest neighbors with the Covid19 severity are ferritins, Age. Then there is C-reactive protein, SI of X-ray, Albumin, and Lactate dehydrogenase, which are the next close neighbors of these three factors. In the moderate-severe group, the closest neighbors with the Covid19 severity are Ferritin, Fibrinogen, Albumin, the quantity of Lymphocytes, SI of X-ray, white blood cells count, Lactate dehydrogenase, and quantity of neutrophils. CONCLUSIONS: Complete multidimensional study in 2173 Covid19 patients in Vietnam shows the whole picture of all the preclinical factors, which may become the clinical reference marker for surveillance and diagnostic management

Preprint ARTICLE | doi:10.20944/preprints202402.0038.v1

On the Trio Unification of Information Geometry, Einsteinian Relativity, and Transient Queues the Parthasarathian Case

Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Transient M/M/1; IG, statistical manifold (SM); QM; Geodesic equations of motion; ; Riemannian metric (RM); Fisher Information matrix (FIM); Inverse Fisher Information matrix (IFIM); threshold theorem

Online: 2 February 2024 (06:34:40 CET)

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Preprint REVIEW | doi:10.20944/preprints202307.1183.v1

Digital Twins for Built Environment. A Review on Key Enablers

Giuseppe Piras, Sofia Agostinelli

Subject: Engineering, Architecture, Building And Construction Keywords: Digital Twin; Virtual Model; Building Information Modelling; Geographical Information System; Artificial Intelligence

Online: 18 July 2023 (07:54:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0416.v1

Privacy-Aware Cloud Architecture for Collaborative Use of Patients’ Health Information

Fadi Alhaddadin, Jairo Gutierrez

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Cloud Architecture; Data Privacy; Data Confidentiality; Information Sharing; Health Information; Patient Records

Online: 6 May 2023 (10:27:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0094.v1

A BIM Based Framework for Damage Segmentation, Storage, and Visualization

Mathias Artus, Mohamed Alabassy, Christian Koch

Subject: Engineering, Civil Engineering Keywords: Building Information Modeling; defects; damage information modeling; life cycle; bridges; inspection; maintenance

Online: 6 January 2022 (17:45:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1085.v1

Preparation and hydration properties of sodium silicate-activated municipal solid waste incineration bottom ash composite slag cementitious materials

Juan Deng, Guoxiong Wu, Yuchao Xia, Li Liu

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: MSWIBA, sodium silicate-activated, hydration properties, equivalent age modeling

Online: 17 April 2024 (08:06:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0025.v1

Analysis of the Evolution of Water Quality in Tanks according to the Connections and Operation Mode. Application to the most Suitable Design

Marta Hervás, Fernando Martínez-Alzamora, Pilar Conejos

Subject: Engineering, Civil Engineering Keywords: Simulation; water quality; water age; storage tanks; hydraulic networks

Online: 1 April 2024 (10:33:25 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202401.1332.v1

Influence of the Age of Free-Living Amoeba Cysts on Their Vertical Distribution in a Water Column

Zineb Fechtali-Moute, Sébastien Pomel

Subject: Biology And Life Sciences, Life Sciences Keywords: Free-Living Amoeba; cyst; age; water column; vertical distribution

Online: 17 January 2024 (13:38:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0040.v1

Discrete-time Survival Models with Neural Networks for Age-Period-Cohort Analysis of Credit Risk

Hao Wang, Anthony Graham Bellotti, Rong Qu, Ruibin Bai

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Credit risk; Survival model; Neural network; Age-Period-Cohort

Online: 3 January 2024 (03:53:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0166.v1

Knowledge Representation of Age-Related Diseases under Innate and Adaptative-Immunosenescence Valued Contexts

javier Burgos-Salcedo

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Immunosenescence; Knowledge representation; Formal concept Analysis; Age-related diseases

Online: 4 December 2023 (11:27:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1534.v1

Mitigating Age-related Bias in Predictive Policing Algorithms

Ahmed Saud Almasoud

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: predictive policing; algorithms; fairness; age bias; strategic subject list

Online: 24 November 2023 (02:42:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1581.v1

Could the Combination of eGFR and mGPS Facilitate the Differential Diagnosis of Age-Related Renal Decline from Diseases? A Large Study on the Population of Western Sicily

Miriam Carella, Annamaria Porreca, Cinzia Piazza, Francesco Gervasi, Daniele Magro, Marika Venezia, Raffaella Lo verso, Giuseppe Vitale, Anna giusy Agnello, Tommaso Aronica, Carmela Rita Balistreri

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: renal age-related decline; kidney disease (KD); eGFR; mGPS

Online: 25 October 2023 (08:35:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1249.v1

The Relationship between Jealousy and Mate Retention Strategies in Romantic Relationships among Women during the COVID-19 Pandemic

Paulina Degiuli, Lea Andreis, Dario Vučenović

Subject: Social Sciences, Psychology Keywords: jealousy; partner retention strategies; romantic relationship; age; relationship length

Online: 20 October 2023 (08:06:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1322.v1

Age and Task Modulate Olfactory Sensitivity in the Florida Carpenter Ant Camponotus floridanus

Stephen T Ferguson, Isaac Bakis, Nicholas D Edwards, Laurence J Zwiebel

Subject: Biology And Life Sciences, Insect Science Keywords: hymenoptera; olfaction; odor coding; task allocation; age polyethism; aging

Online: 19 July 2023 (10:03:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0469.v1

Dynamical Analysis of an Age-Structured Sveir Model With Imperfect Vaccine

Yanshu Wang, Hailiang Zhang

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: SVEIR model; latent age; imperfect vaccine; Lyapunov functions; stability

Online: 7 June 2023 (02:32:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0152.v1

Eugenio Martelli, Matilde Zamboni, Giovanni Sotgiu, Laura Saderi, Massimo Federici, Giuseppe Massimo Sangiorgi, Mariangela Valentina Puci, Allegra Rosa Martelli, Teresa Messina, Paolo Frigatti, Maria Pia Borrelli, Carlo Ruotolo, Ilaria Ficarelli, Paolo Rubino, Francesco Pezzo, Luciano Carbonari, Andrea Angelini, Edoardo Galeazzi, Luca Calia Di Pinto, Franco Michelino Fiore, Armado Palmieri, Giorgio Ventoruzzo, Giulia Mazzitelli, Franco Ragni, Antonio Bozzani, Enzo Forliti, Claudio Castagno, Pietro Volpe, Mafalda Massara, Diego Moniaci, Elisa Pagliasso, Tania Peretti, Mauro Ferrari, Nicola Troisi, Pietro Modugno, Maurizio Maiorano, Umberto Marcello Bracale, Marco Panagrosso, Mario Monaco, Giovanni Giordano, Giuseppe Natalicchio, Antonella Biello, Giovanni Maria Celoria, Alessio Amico, Mauro Di Bartolo, Massimiliano Martelli, Roberta Munaó, Davide Razzano, Giovanni Colacchio, Francesco Bussetti, Gaetano Lanza, Antonio Cardini, Bartolomeo Di Benedetto, Mario De Laurentis, Maurizio Taurino, Pasqualino Sirignano, Pierluigi Cappiello, Andrea Esposito, Santi Trimarchi, Silvia Romagnoli, Andrea Padricelli, Giorgio Giudice, Adolfo Crinisio, Giovanni Di Nardo, Giuseppe Battaglia, Rosario Tringale, Salvatore De Vivo, Rita Compagna, Valerio Stefano Tolva, Ilenia D'Alessio, Ruggiero Curci, Simona Giovannetti, Giuseppe D'Arrigo, Giusi Basile, Dalmazio Frigerio, Gian Franco Veraldi, Luca Mezzetto, Arnaldo Ippoliti, Fabio Massimo Oddi, Alberto Maria Settembrini

Subject: Medicine And Pharmacology, Hematology Keywords: chronic limb-threatening ischemia; outcome; sex; age; limb salvage

Online: 8 December 2022 (09:39:30 CET)

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Preprint REVIEW | doi:10.20944/preprints202211.0350.v2

Recent Advances in Proteomic-based Approaches to Study Age-related Macular Degeneration: A Systematic Review

Laura García-Quintanilla, Lorena Rodríguez-Martínez, Enrique Bandín-Vilar, María Gil-Martinez, Miguel González-Barcia, Cristina Mondelo-García, Anxo Fernández-Ferreiro, Jesús Mateos

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Proteomics, Age-related macular degeneration, inflammation, biomarker, oxidative stress.

Online: 21 November 2022 (02:35:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0278.v1

Association between Knowledge about Anemia, Food Consumption Behaviors, and Hematocrit Level among School-Age Children in Nakhon Si Thammarat Province, Thailand

Pastraporn Kaewpawong, Kiatkamjorn Kusol, Onuma Bunkarn, Sirigran Sutthisompohn

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: knowledge; food consumption behaviors; hematocrit level; school-age children

Online: 19 October 2022 (10:06:28 CEST)

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Anemia is a significant public health problem among children, especially school-age children because their body quickly produces red blood cells to provide sufficient blood volume with plasma expansion to maintain blood concentration. This research aimed to study the anemia situation, knowledge about anemia, food consumption behaviors, and the association between knowledge, food consumption behaviors, and hematocrit level among school-age children in primary school, in Thasala district, Nakhon Si Thammarat Province. This is a descriptive study among 408 students, Grades 4 to 6, aged 9-12 years. Research instruments included the demographic data of the children and their knowledge about anemia, food consumption behaviors, and hematocrit assessment. Data were analyzed using descriptive, Spearman’s rank correlation coefficient, and logistic regression statistics. The results revealed that 23.2% of the samples had anemia, whereas 22.22% had mild anemia and 0.98% had moderate anemia. The children knew about anemia, where the mean score was at a moderate level (Mean= 6.63; SD= 2.51) out of 10. The mean score on food consumption behaviors was in the moderate level (Mean= 17.49; SD= 3.68) out of 24. There were significantly positive correlations between the knowledge about anemia and the hematocrit level at a moderate level (r= 0.45, p< 0.001). Correlation analysis revealed moderate food consumption behaviors with the hematocrit level (r= 0.40, p< 0.001). When confirm with Logistic regression found that knowledge about anemia (OR = 9.15, 95% CI: 4.57-18.34), and food consumption behaviors (OR = 19.09, 95% CI: 9.71-37.53) were significantly associated with the hematocrit level. Conclusions: This study showed that knowledge and appropriate food consumption behaviors are associated with hematocrit levels. Enhancing knowledge about anemia and food consumption behaviors may be reduced the prevalence of anemia in school-age children. The health care providers in primary care should be encouraged children to have health education and eat sufficient food.

Preprint ARTICLE | doi:10.20944/preprints202107.0434.v1

Clinical and Laboratory Characteristics of Kikuchi-Fujimoto Disease According to Age

Hye-Young Kim, Ha Young Jo, Seong Heon Kim

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: Kikuchi-Fujimoto disease; histiocytic necrotizing lymphadenitis; prognosis; children; age

Online: 20 July 2021 (09:37:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0729.v1

Sergey Sudakov, Elena Alekseeva, Galina Nazarova, Valentina Bashkatova

Subject: Social Sciences, Psychology Keywords: age; behaviour; open field; physical activity; anxiety; Wistar rat.

Online: 30 June 2021 (10:57:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0536.v1

“What a Mobility-Limited World”: Design Requirements of an Age-Friendly Playable City

Liliana Vale Costa, Ana Isabel Veloso, Michael Loizou, Sylvester Arnab, Richard Tomlins, Arun Sukumar

Subject: Social Sciences, Urban Studies And Planning Keywords: playable city; age-friendly environments; games; mobility; active ageing

Online: 23 October 2018 (10:11:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0111.v1

Applicability of Precision Medicine Approaches to Managing Hypertension in Rural Populations

Jacqueline R. Halladay, Kaitlin C. Lenhart, Kimberly Robasky, Wendell Jones, Wayne F. Homan, Doyle M. Cummings, Crystal W. Cené, Alan L. Hinderliter, Cassandra L. Miller, Katrina E. Donahue, Beverly A. Garcia, Thomas C. Keyserling, Alice S. Ammerman, Cam Patterson, Darren A. DeWalt, Larry F. Johnston, Monte S. Willis, Jonathan C. Schisler

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: hypertension; GWAS; precision medicine; rural population; SNP-age interaction

Online: 12 January 2018 (07:34:37 CET)

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Background: As part of the Heart Healthy Lenoir Project, we developed a practice level intervention to improve blood pressure control. The goal of this study was: i) determine if single nucleotide polymorphisms (SNPs) that associate with blood pressure variation, identified in large case-control studies, are applicable to blood pressure control in subjects from a rural population; ii) measure the association of these SNPs with subjects’ responsiveness to the hypertension intervention; and iii) identify other SNPs that may help understand patient-specific responses to an intervention. Methods and Results: We used a combination of candidate SNPs and genome-wide analyses to test associations with either baseline systolic blood pressure (SBP) or change in systolic blood pressure one year after the intervention in two genetically defined ancestral groups: African Americans (AA) or Caucasian Americans (CAU). Of the 48 candidate SNPs, 13 SNPs associated with baseline SBP in our study; however, one candidate SNP, rs592582, also associated with a change in SBP after one year. Using our study data, we identified 4 and 15 additional loci that associated with a change in SBP in the AA and CAU groups, respectively. Our analysis of gene-age interactions identified genotypes associated with SBP improvement within different age groups of our populations. Moreover, our integrative analysis identified AQP4-AS1 and PADI2 as genes whose expression levels may contribute to the pleiotropy of complex traits involved in cardiovascular health and blood pressure regulation in response to an intervention targeting hypertension. Conclusions: Identification of SNPs associated with the success of a hypertension treatment intervention suggests that genetic factors in combination with age may contribute to an individual’s success in lowering SBP. If these findings prove to be applicable to other populations, the use of this genetic variation in making patient-specific interventions may help providers with making decisions to improve patient outcomes. Further investigation is required to determine the role of this genetic variance with respect to the management of hypertension such that more precise treatment recommendations may be made in the future as part of personalized medicine.

Preprint ARTICLE | doi:10.20944/preprints201608.0133.v1

Calorie Restriction Supplemented with Fish Oil Ameliorates Abnormal Metabolic Status in Middle-Aged Obese Women: An Open-Label, Parallel-Arm, Controlled Trial

Fasty Arum Utami, Hsiu-Chuan Lee, Chien-Tien Su, Shih-Yi Huang

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: calorie restriction; PUFA; meal replacement; metabolic syndrome; middle age

Online: 13 August 2016 (03:39:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0321.v1

Quality and Readability of Google Search Information on HoLEP for Benign Prostate Hyperplasia

Yam Ting Ho, Jeremy Saad, Femi E Ayeni, Mohan Arianayagam, Bertram Canagasingham, Ahmed Goolam, Nicola Jeffrey, Mohamed Khadra, Raymond Ko, Nicholas Mehan, Sachinka Ranasinghe, Celi Varol, Jonathan Kam, Isaac A Thangasamy

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Urological surgical procedures; Prostatectomy; Transurethral resection of prostate; Prostatic hyperplasia; Consumer health information, Health literacy; Health education

Online: 6 March 2024 (04:50:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0047.v1

Mark Burgin’s Legacy: The General Theory of Information, The Digital Genome, and the Future of Machine Intelligence

Rao Mikkilineni

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: digital genome; general theory of information; structural machines; machine intelligence; knowledge structures; cognizing oracles; super-symbolic computing

Online: 1 November 2023 (10:08:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0326.v1

Does Relativity Rule over Quantum or Vice Versa?

Surajit Saha

Subject: Physical Sciences, Quantum Science And Technology Keywords: Foundations of quantum mechanics; Quantum information and communication; quantum optics; quantum measurement; special relativity; space-time geometry

Online: 20 February 2023 (07:27:08 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202102.0412.v1

A Universe Without Matter: The Processing of Information/Energy through Discontinuous Space Cells in Two Models; a Computer Simulation, or a Self-Replicating Substrate of Space Cells

David Reardon

Subject: Physical Sciences, Acoustics Keywords: space-time lattice; simulation hypothesis; grand unifying theory; foundations of physics; quantum information theory; relational quantum theory

Online: 18 February 2021 (11:13:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1994.v1

Information Geometric Analysis of the Dynamics of M/M/∞ Transient Queue Manifold

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Transient , information geometry (IG), statistical manifold (SM), M/M/ Infinity queue manifold (QM), Geodesic equations of motion, Ricci Curvature (RC), Einstein Tensor, Stress Energy Tensor, Riemannian metric (RM), Fisher Information matrix (FIM), Inverse Fisher Information matrix (IFIM), threshold theorem

Online: 29 January 2024 (08:44:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.2223.v1

Study of the Metrorrhagia of the First Trimester. Early Pregnancy Loss, Importance of Advanced Maternal Age

Laura Baños Cándenas, Daniel Abehsera Davó, Lucía Castaño Frías, Ernesto González Mesa

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: First trimester bleeding; Metrorrhagia of the first trimester; Miscarriage; abortion; Early pregnancy loss; Advanced maternal age; emergency room; Preeclampsia; Gestational diabetes; prematurity.

Online: 30 June 2023 (12:25:22 CEST)

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Background and Objectives: The purpose of this study was to assess the bleeding that occurs during the first weeks of gestation and its implications throughout pregnancy. Secondarily, we studied the associated complications that appeared and tried to identify possible risk factors that could serve to select women at a greater risk of adverse outcomes that could benefit from an early diagnosis and improved monitoring. Materials and Methods: We selected all the women who consulted for first trimester metrorrhagia in the Emergency Department of the Hospital QuirónSalud in Malaga over the year 2015. We refer to first trimester metrorrhagia as that which occurs until week 12+6. Once the pregnant women were identified, we studied certain risk factors already present prior to the gestation and others associated with the gestation and its evolution. Results: After reviewing the visits to the obstetrics and gynecology emergency department, we selected those patients that met the inclusion criteria, resulting in a sample of 696 patients that we followed up. The average age of our patients was 34.1 years, with an average number of visits to the hospital of 1.67, most of them between the 5th and 8th weeks of pregnancy. 45.3% of these pregnancies resulted in a first trimester miscarriage, mainly between weeks 6 and 8. We tried to establish associations in order to identify possible risk factors, finding a relationship between increased maternal age and a higher risk of first trimester pregnancy loss, which rises as maternal age increases (33,37 4,316 years vs 35,01 4,740 years). This increase in risk is proportional to the increase in age. We made subgroups of women over 35 and over 40 and confirmed that increased age led to worse outcomes. We also studied several gestational complications and concluded that they appeared more frequently among older women. These complications include prematurity (33.11 vs 34.48 years), gestational diabetes (33.11 vs 36.06 years) and preeclampsia (33.25 vs 35 years). We reviewed the obstetric history of pregnant women whose gestation resulted in miscarriage and found that 50.5% of them had previously had another loss. Conclusions: Comparing the results with data from the general population, we found that the rate of first trimester miscarriage is up to 3 times higher among women who present bleeding during the first weeks of gestation compared to those who do not develop this complication. Maternal age is a risk factor for first trimester pregnancy loss and for the development of complications associated with pregnancy.

Preprint ARTICLE | doi:10.20944/preprints201909.0146.v1

Entropy Production as the Origin of Information Encoding in RNA and DNA

Julián Mejía, Karo Michaelian

Subject: Biology And Life Sciences, Biophysics Keywords: entropy; entropy production; non-equilibrium thermodynamics; information encoding; nucleic acids; DNA; RNA; origin of life; origin of codons; amino acids; stereochemical era; photon potential

Online: 14 September 2019 (19:44:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0298.v1

Generation of Information Tsunamis: Social Laser in Action

Andrei Khrennikov

Subject: Social Sciences, Library And Information Sciences Keywords: information field; social energy; social atom; spontaneous and stimulated emission; information excitation; social lasing; Echo Chambers; boson fields; coherence; information tsunami

Online: 17 April 2020 (09:15:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0066.v3

A Partial Information Decomposition Based on Causal Tensors

David Sigtermans

Subject: Physical Sciences, Thermodynamics Keywords: information theory; causal inference; causal tensors; transfer entropy; partial information decomposition; left monotonicity; identity property; unobserved common cause

Online: 27 February 2020 (10:55:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1924.v1

PIR Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning Approaches

Azad Shokrollahi, Jan Persson, Reza Malekian, Arezoo Sarkheyli-haegele, Fredrik Karlsson

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Passive Infrared (PIR) Sensors; Smart Buildings; IoT (Internet of Things); Occupancy Information; People Counting; Activity Detection; Machine Learning

Online: 29 January 2024 (04:33:14 CET)

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Buildings are rapidly becoming more digitized, to a large extent due to developments in IoT. This will provide many opportunities but also a number of challenges. One of the central challenges in the process of digitizing buildings is the ability to monitor the building’s status effectively. This monitoring is essential for various services that rely on information about the presence and activities of individuals within different areas of the building. Occupancy information, including people counting, occupancy detection, location tracking, and activity detection, plays a vital role in the management of smart buildings. In this article, our primary focus is on the use of Passive Infrared (PIR) sensors for gathering occupancy information. PIR sensors are among the most widely used sensors for this purpose due to their consideration of privacy concerns, cost-effectiveness, and low processing complexity compared to many others. Despite numerous literature review articles in the field of occupancy information, there currently isn’t a specialized literature review dedicated to occupancy information derived specifically from PIR sensors.Therefore, this study analyzes articles that specifically explore the application of PIR sensors for occupancy information. This article provides a comprehensive literature review of PIR sensor technology from 2015 to 2023, with a focus on applications in people counting, activity detection, and localization (traking and location). It consolidates findings from a number of articles that have explored and enhanced the capabilities of PIR sensors in these interconnected domains. This review thoroughly examines the application of various techniques, machine learning algorithms, and configurations for PIR sensors in indoor building environments, emphasizing not only the data processing aspects but also their advantages, limitations, and efficacy in producing accurate occupancy information.These developments are crucial for improving building management systems in terms of energy efficiency, security, and user comfort, among other operational aspects.These developments are crucial for improving building management systems in terms of energy efficiency, security, and user comfort, among other operational aspects. The paper seeks to offer a thorough analysis of the present state and potential future advancements of PIR sensor technology in efficiently monitoring and understanding occupancy information by classifying and analyzing improvements in these domains.

Preprint ARTICLE | doi:10.20944/preprints202312.2218.v1

Detecting IoT Anomaly using Fuzzy Subspace Clustering Algorithm

Fokrul Alom Alom Mazarbhuiya, Mohamed A Shenify, A S Wungreiphi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Information system; High-dimensional data; Dominance relation; Fuzzy Clustering method, CORE of attribute set; Mahalanobis distance.

Online: 28 December 2023 (18:50:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1654.v1

Finding IoT Anomaly using Rough Fuzzy Periodic Subspace Clustering Approach

Fokrul Alom Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Information system; High-dimensional data; Dominance relation; CORE of attribute set; Distance function; k-means algorithm

Online: 23 May 2023 (12:00:44 CEST)

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Finding anomalies in the real-time system is recognized as one of most challenging study in information security. It has so many applications like IoT, and Stock-Market. In any IoT system the data generated are real-time, and temporal in nature. Since due to the extreme exposure to Internet and interconnectivity of devices, the IoT systems often face issues like fraud, anomalies, intrusions etc. Discovering anomaly in such domain can be interesting. Clustering and rough set theory have been tried in many cases. Considering the time-stamp associated with IoT data, time-dependent patterns like periodic clusters can be generated which could be helpful for the efficient detection of anomalies by providing more in-depth analysis of the system. In this paper, a mixed method comprising of nano topology, a modified k-means clustering and an interval superimposition technique is used for finding fuzzy periodic clusters in the subspace generated by the nano topology. For every clusters there will be an associated sequence of time-intervals where it exists. The sequence time-intervals accompanying with each clusters may exhibit some remarkable patterns. For example, there may exist different types of periodicity namely yearly, monthly, daily, and hourly etc. For finding such fuzzy periodicity, an operation called interval-superimposition has been used. The time-intervals associated with each cluster are superimposed if they have reasonable overlapping. Each superimposed time-interval generates a fuzzy time-interval. The data instances are thought to be anomalous if they either belong to sparse clusters or don't belong to any clusters. The efficacy of the method can be assessed by means of both time-complexity analysis and comparative studies with existing clustering-based anomaly detection algorithms with a real-life and a synthetic dataset. It can been found experimentally that our method can extract anomaly with 98% of accuracy and it runs cubic time approximately.

Working Paper REVIEW

Review of Potential High-Leverage and Inexpensive Mitigations for Reducing Risk in Epidemics and Pandemics

David Manheim, David Denkenberger

Subject: Public Health And Healthcare, Health Policy And Services Keywords: Mitigation; Risk Reduction; Global Catastrophic Biological Risk; Epidemics; Disease X; Literature Review; Pandemics; Value of Information; Existential Risk

Online: 28 February 2020 (12:32:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints201801.0038.v1

Revisiting Degrees of Freedom of Full-Duplex Systems with Opportunistic Transmission: An Improved User Scaling Law

Haksoo Kim, Juyeop Kim, Sang Won Choi, Won-Yong Shin

Subject: Engineering, Electrical And Electronic Engineering Keywords: degrees of freedom (DoF); full-duplex systems; hybrid opportunistic scheduling; partial channel state information (CSI); user scaling law

Online: 7 January 2018 (11:46:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2273.v1

Ancient Residences in Zarafshan Oasis

DILDORA UROKOVA

Subject: Arts And Humanities, Architecture Keywords: Sugdian culture; ancient village in Qumrabot; Mokhandaryo; Gurdush; Gujayli; findings of the Bronze Age; Kalkanota and Qonimekh village ruins; Qumrabot; Arabon and others

Online: 2 January 2024 (02:03:04 CET)

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In this article, you will get acquainted with ancient settlements in the Bukhara region and settlements found at the foot of the Zarafshan River. In addition, the settlements of urbanized peasant and artisan families belonging to the ancient Sugdian culture are also covered. Just as Egypt was called "the gift of the Nile" in ancient times, Buhoro oasis can also be called the gift of the Zarafshan river. Because this land on the banks of the river itself, first of all, as a result of thousands of years of Zarafshan was created due to the turbidity that flowed. The innumerable streams, lakes and ponds formed by its floods played a major role in the formation of the nature of the oasis and its development. It is known that when the ice age ended and the weather started to warm, the thick glaciers and eternal snows that covered the mountain ranges of Turkestan, Khisor and Zarafshan melted, and huge floods formed from them, roared down the Zarafshan river. His depicted floods of those times reminded of the legendary "Noah's flood". At that time, Zarafshan flowed over a very wide area in its valley. Its right bank washes the Payarik and Khatirchi hills in the present Samarkand region, and the left bank washes the Pastdargom and Kattakurgan hills. Not a single drop of this large stream was wasted in the upper and middle parts of the Zarafshan valley and was used for farming and agriculture, it broke through the narrow Khazora dar band near the present city of Navoi and flowed into the cone-shaped Bukhoro oasis. Ancient Khitfar (Vobkent-Darya), Rudnzor (Shakhrud) in Bukhara oasis. Korakuldaryo, Mokhondaryo and Taikir formed several branches and flowed along the entire voka. At that time, the valley part of Bukhoro region was formed from the lakes and swamps formed by the flood waters of Zarafshan.They are covered with thick bushes, thickets and orchards. A wealth of information has been collected on the history of the ancient nature of the people of the country and the development of its unique culture, as well as the formation of self-interested cattle breeding and farming farms, as well as the emergence of large and small villages and cities. The data serve as the main source not only for the history of the emergence of the city of Bukhara, but also for the study of the emergence of the process of urbanization in the Zara Valley and its specific characteristics.

Preprint ARTICLE | doi:10.20944/preprints202312.1154.v1

Effect of Community-Based Health Education Led by Women’s Groups on Mothers’ Knowledge of Obstetric Danger Signs and Birth Preparedness and Complication Readiness Practices in Southern Ethiopia: A Cluster Randomized Controlled Trial

Amanuel Yoseph, Wondwosen Teklesilasie, Francisco Guillen-Grima, Ayalew Astatkie

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Health education; obstetric danger signs; birth preparedness; complications readiness; women of reproductive age; cluster randomized controlled trial; multi-level analysis; Poisson regression; Ethiopia

Online: 18 December 2023 (02:54:41 CET)

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AbstractIntroduction: Increasing knowledge of obstetric danger signs (ODS) and encouraging birth preparedness and complication readiness (BPCR) practices are strategies to increase skilled maternal health service utilization in low-income countries. One of the methods to increase mothers' knowledge about ODS and promote BPCR practice is through health education intervention (HEI). However, the effect of context-specific community-based health education led by women's groups on these outcomes has not been comprehensively studied, and the existing evidence is inconclusive. Thus, we aimed to evaluate the effect of a context-specific community-based HEI led by women's groups on mothers' knowledge regarding ODS and BPCR practices in southern Ethiopia.Methods: An open-label, two-arm parallel group cluster-randomized controlled trial was conducted from January to August 2023 on pregnant women from 24 clusters (kebeles) (12 interventions and 12 controls) in the northern zone of the Sidama region. The Open Data Kit smartphone application was utilized to collect data. The intention-to-treat analysis was used to compare outcomes between groups. We fitted multi-level mixed-effects modified Poisson regression with robust standard error to account for between and within cluster effects. Results: One thousand and seventy pregnant women (540 in the intervention and 530 in the control clusters) responded to this study, making the overall response rate 95.02%. Excessive vaginal bleeding (94.3% in the interventional group vs. 88.7% in the control group) was the commonest ODS mentioned during childbirth. Overall, 68.7% of women in the intervention group and 36.2% of mothers in the control group had good knowledge of ODS (P-value < 0.001). Saving money and materials (97.1% in the interventional group vs. 92.7% in the control group) was the most frequently practiced BPCR plan. Overall, 64.3% of women in the intervention group and 38.9% of mothers in the control group practiced BPCR (P-value < 0.001). HEI significantly increased overall knowledge of ODS (adjusted risk ratio [ARR]: 1.71; 99% CI: 1.14-2.57) and improved overall BPCR practice (ARR: 1.55; 99% CI: 1.02-2.39). Conclusions: A community-based HEI led by women's groups improved mothers' knowledge regarding ODS and BPCR practices in a rural setting in southern Ethiopia. Interventions designed to increase women's knowledge of ODS and improve BPCR practice must implement context-specific, community-based HEI that aligns with World Health Organization recommendations. Trial registration: NCT05865873

Preprint ARTICLE | doi:10.20944/preprints202404.0774.v1

Junxia Li, Zhenguo Wang, Liujia Wang, Xiayuan Wang, Dong He, Xinming Duan, Chunxiang Zhang, Youshe Ren, Chunhe Yang

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: cashmere goat; cashmere production; secondary hair follicle; age; oxidative stress

Online: 11 April 2024 (10:12:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1497.v1

Ethnic Representation Matters: Investigating Bias in Facial Age Prediction Models

Nenad Panić, Marina Marjanović, Timea Bezdan

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Facial recognition; Age prediction; Convolutional Neural Network (CNN); Ethnicity bias

Online: 26 March 2024 (08:15:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0998.v1

Development and Implementation of Virtual Reality Application: Age-Friendly Health System Scenario

Sweta Tewary, Oksana Shnayder, Marie Dezine, Naushira Pandya

Subject: Public Health And Healthcare, Primary Health Care Keywords: virtual reality; age friendly health systems; medical education; older adults

Online: 19 February 2024 (15:45:44 CET)

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INTRODUCTION: With an increase in the aging population, the application of evidence-based practice in geriatric education can strengthen knowledge, skills, and clinical experience for healthcare students caring for older adults. Age Friendly Health Systems (AFHS) is one of the frameworks founded on providing evidence-based and low-risk care centered on what matters most to older adults, their families, and caregivers. Virtual Reality (VR) platforms are gaining popularity due to their ability to provide an immersive, hands-on learning experience resembling an actual medical practice or care setting. Immersive learning enhances students’ sensory perceptions, promoting an innovative and engaging way of acquiring concepts that are difficult to teach in real life. This study aimed to design, develop, implement, and evaluate a case-based training module highlighting AFHS and educating medical students on the 4Ms approach in geriatric care (What Matters, Medication, Mentation, and Mobility). METHODOLOGY: The project was a feasibility study completed in two phases. Phase one included planning and development of a case-based scenario incorporating 4Ms of AFHS. Phase two included implementing and evaluating the VR training module into the geriatric curriculum for medical students. RESULTS: The final VR case displays a hospital and post-acute setting where an elderly patient is admitted for a hip fracture. Students learn how to triage and treat patients from admission to discharge while demonstrating their knowledge of AFHS. Approximately 10% of students completed the evaluation survey, and preliminary results indicate significant knowledge change in pre-post scenario-based training on AFHS. CONCLUSION: The VR education platform and embedded scenario promise an innovative adaptation of technology in learning the concepts of the 4Ms of AFHS. However, future studies should explore VR education with clinical assessment evaluation to ensure competence in providing Age-Friendly care.

Preprint REVIEW | doi:10.20944/preprints202402.1022.v1

The Value of Autopsy in the Modern Age: Discrepancy between Clinical and Autopsy Diagnoses

Cecilia Salzillo, Roberta Basile, Gerardo Cazzato, Giuseppe Ingravallo, Andrea Marzullo

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: hospital autopsy; modern age; clinical diagnosis; autopsy diagnosis; Public Health

Online: 19 February 2024 (08:22:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1799.v1

Suboptimal Nutritional Status of School-Age Children in Addis Ababa: Evidence from the Analysis of Sociodemographic, Environmental, and Behavioral Factors

Yimer Mihretie Mihretie, Abebe Ayelign, Tadesse Alemu Zerfu

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: ; Addis Ababa; dietary factors; nutritional status; school-age children

Online: 25 January 2024 (09:53:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0350.v1

Human Age Estimation from Face Images with Deep Convolutional Neural Networks Using Transfer Learning

Gilbert George, Chandrashekhar Uppin, Usman Abubakar Bello

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolution neural network; Deep Learning; Facial Age; Regression; Transfer learning

Online: 4 January 2024 (07:41:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1081.v1

Splenic Stiffness Measured by 3-Tesla Magnetic Resonance Elastography Is Correlated with Age in Healthy Individuals

Süheyl Poçan, Levent Karakaş

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: 3 tesla magnetic resonance; age, healty volunteers; elastography; splenic stiffness

Online: 17 October 2023 (11:20:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1069.v1

Splenic Stiffness Measured by 3-Tesla Magnetic Resonance Elastography Is Correlated with Age in Healthy Individuals

Süheyl Poçan, Levent Karakaş

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: 3 tesla magnetic resonance; age; healty volunteers; elastography; splenic stiffness

Online: 17 October 2023 (11:11:32 CEST)

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