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Preprint ARTICLE | doi:10.20944/preprints202008.0539.v1

Communication Networks used by Smallholder Livestock Farmers in Disease Outbreaks: Case Study of the Free State, South Africa

Christopher Nwafor, Ifeoma Nwafor

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Correlation; Disease; Extension; Information-Score; Livestock; Perceived-Usefulness

Online: 25 August 2020 (05:01:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0095.v1

Prevalence of Educational Struggle Correlates with School Districts Toxics Sites and Demographics Variables, with GIS Projections.

Junu Shrestha, Raihan Khan, Shane McClintock, John DeGroote, Catherine Zeman

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: toxic score; individualized education plan; geographic information systems; correlation; environmental factors; multiple exposure

Online: 2 August 2023 (02:35:06 CEST)

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contaminated sites located in each school district. Previous studies showed that various environmental factors, such as exposure to toxic substances negatively impacts human health depending on their concentration and occurrence. Therefore, the study aims to use Geographical Information System (GIS) technology and secondary data on IEP numbers of each school district, chemical occurrence in contaminated sites, and demographic data to conduct a correlational analysis. The secondary data obtained from school districts and contaminated sites from Iowa Department of Natural Resources Facility Explorer were populated in ArcMap 10.5 (a GIS software) for generating maps and data to conduct statistical analysis. The contaminants were categorized into metals, polyaromatic hydrocarbons (PAH), and solvents with weighing factors as 1, 0.5, and 0.25. A total of 1 Superfund site and 39 CERCLA sites were identified as contaminated sites for this study. The majority of contaminants were heavy metals such as lead, arsenic, mercury, and cadmium. The mean toxic score of all contaminated sites combined was 13.4 (sd 14.4). The correlational analysis between the IEP numbers from each school districts and toxic scores from the contaminated sites was positive indicting that increased toxic score increased the number of students enrolled in the IEP program (F=23.7, p<0.0001). The correlational analysis between toxic score and demographics indicated some interesting results. Children under the age of 10 were living in areas with high toxic score and the showed mild correlation (p<0.00052). Similarly, higher number of black population resided in areas with high toxic score (p=0.0032) than the white population (p<0.0001). The result also indicated that children enrolled in IEP were predominantly among the black population (p<0.0001). The correlational analysis between household income and poverty percentage of people residing near the contaminated area indicated that people had low average household income (p=0.0002) and high poverty percentage (p=0.0203) residing in areas with higher toxic score. Regarding the educational status, less number of people with post graduate degree (p<0.0001) resided in areas with high toxic score and more number of people with no degree (p<0.0001) resided in areas with high toxic score. Finally, the study showed the increasing trend of eligible children enrolling in free and reduced lunch programs with increasing toxic scores (p=0.0012) and IEP levels (p=0.0416). This study emphasize on developing multiple exposure to correlate environmental factors contributing to the negative health outcome on people.

Preprint ARTICLE | doi:10.20944/preprints202306.2052.v1

Geomicrobiological Control on Arsenic Heterogeneity – The Taciturn Factor Controlled by Rural Sanitation System

Pinaki Ghosh, Debjani Mandal, Mina Aghababaei, Jishnu Adhikari, Indranil Saha, Jayanta Kumar Biswas, Debashis Chatterjee, Abhishek Basu, Santanu Majumder

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: Groundwater; Surface water; Arsenic; Sanitary risk score; Fecal coliform score

Online: 28 June 2023 (15:54:39 CEST)

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Arsenic (As) contamination of groundwater is a common problem in BDP. The alkaline pH of the groundwater provides favourable condition for geomicrobiochemical processes, where organic matter also plays an important role in mobilization of As. The total arsenic content (AsT) of the groundwater is in the range of 69-178 µgL-1 with mean value of 118.58 µgL-1. The groundwater quality of monitored drinking water wells are related to local land–use pattern and rural sanitation installation and practices (which can have a strong influence on microbial contamination). The study indicates that As heterogeneity, probably a consequence of microbial heterogeneity is a feature of the study area. The excessive total and fecal coliform (TC and FC) count of the ponds possibly suggest uncontrolled surface run offs and sewage leakage, notably from nearby pit-latrine, which increased the microbial contamination in these water sources. The tube wells located in close proximity (~ 2-3 m) of the surveyed ponds are also contaminated with high TC and FC values, due to faulty water supply system, pond water infiltration and cracked tube well platforms. Coliforms may influence geomicrobiological processes in groundwater and thereby, contribute in As release and mobilization. The TC and FC values of monitored tube wells and ponds show seasonal variation, with high TC and FC values during wet season. Attempt has been made to focus on sanitation risk of the monitored wells (based on sanitation and fecal coliform scores) which is usually less explored. The sanitary risk score reveal the need of immediate attention to all the sites, as 25.0 %, 58.3 %, 11.1 % and 5 % of tube wells of the six sites fell under very high risk (sanitary risk score ≥ 9), high risk (sanitary risk score 6-8), intermediate risk (sanitary risk score 3-5) and low risk category (sanitary risk score 0-2), respectively. Fecal coliform score classified all the sites under intermediate risk category (FC count 10-100 per 100 ml of water). The predominance of As heterogeneity particularly in areas under high risk category (showing high TC and FC contamination) is observed along with the similar sinusoidal pattern of TC, FC and AsT content. Finally, this study shed light on the factors responsible for unsafe nature of monitored tube wells and the influence of anthropogenic activities on the microenvironment of the groundwater, which could be a probable reason behind the As heterogeneity in the groundwater of the study area.

Preprint ARTICLE | doi:10.20944/preprints202210.0002.v1

Therapeutic Approach of Anticoagulants and Acute Blood Purification for Patients with Sepsis-Induced Disseminated Intravascular Coagulation: Post-marketing Surveillance Data of Antithrombin Supplementation

Yutaka Eguchi, Hiroyuki Nagafuchi, Toshiaki Ikeda

Subject: Medicine And Pharmacology, Hematology Keywords: antithrombin; recombinant thrombomodulin; SOFA score; JAAM DIC score; PMX-DHP

Online: 1 October 2022 (07:09:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0456.v1

Systemic Inflammatory Response and the Noble and Underwood (Nun) Score as Early Predictors of Anastomotic Leakage after Esophageal Reconstructive Surgery

Elke Van Daele, Hanne Vanommeslaeghe, Flo Decostere, Louise Beckers Perletti, Esther Beel, Yves Van Nieuwenhove, Wim Ceelen, Piet Pattyn

Subject: Medicine And Pharmacology, Surgery Keywords: NUn score; esophagectomy; anastomotic leakage; risk score; esophageal cancer; inflammatory biomarkers

Online: 5 January 2024 (10:38:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0209.v1

Characterization of Microbiota in Bronchiectasis Patients with Different Disease Severities

Sang Hoon Lee, YeonJoo Lee, Jong Sun Park, Young-Jae Cho, Ho Il Yoon, Choon-Taek Lee, Jae Ho Lee

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: bronchiectasis; FACED score; microbiome

Online: 10 October 2018 (08:14:24 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202209.0409.v1

Comparison of 0.12% Chlorhexidine and a New Bone Bioactive Liquid, BBL, Mouthrinses on Oral Wound Healing: A Randomized, Double Blind Clinical Human Trial

Eduard Ferrés-Amat, Ashraf Al Madhoun, Elvira Ferrés-Amat, Neus Carreo, Miguel Barrajas, Areej Said Al-Madhoun, Eduard Ferrés-Padró, Carles Marti, Maher Atari

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: chlorhexidine; bioactive liquid; oral wound healing; pain index score; early wound healing score

Online: 27 September 2022 (03:37:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0351.v1

Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval

Sungroul Kim, Sol Yu

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: topography; cotinine; fagerstrom score; addiction

Online: 27 April 2018 (06:21:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1318.v1

Naples Prognostic Score Is a Useful Tool to Assess the Surgical Treatment in Non-small Cell Lung Cancer

Stefano Elia, Alexandro Patirelis, Georgia F. Hardavella, Antonella Santone, Federica Carlea, Eugenio Pompeo

Subject: Medicine And Pharmacology, Surgery Keywords: Non-small cell lung cancer; prognosis; Naples Prognostic Score; thoracic surgery; survival; prognostic score.

Online: 22 November 2023 (07:45:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0320.v1

Performance Analysis of Segmentation and Classification of CT scanned Ovarian Tumours using UNet and Deep Convolutional Neural Networks

Ashwini Kodipalli, Vaishnavi Gururaj, Shriya VR, Steven L Fernandes, Santosh Dasar

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: Ovarian Tumours; UNet; Convolutional Neural Networks; VGG 16; DenseNet; ResNet; Dice score; Jaccard score

Online: 13 April 2023 (10:50:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201704.0044.v1

Approximate Information and Accelerating for High-throughput Heterogeneous Data Analysis with Linear Mixed Models

Shengxin Zhu

Subject: Computer Science And Mathematics, Mathematics Keywords: observed information; fisher information; averaged information splitting; approximate information

Online: 7 April 2017 (12:21:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1832.v1

Development and Validation of a Machine Learning Model for Predicting Endoscopic Intervention in Upper Gastrointestinal Bleeding

Omran A. Abu-Dhaim, Abdel-Latif Mughrabi Sabbagh, Yaman B. Ahmed, Daoud O. Al Aruri, Owais Ghammaz, Yaser M. Rayyan, Omar Alqudah, Mu'taz M Massad, Karam I. Khraim, Mustafa Q. Khasawneh, Laith F. Alquran, Batool N. AlQadri, Qasim N. Mhaidat, Hamza Alhawamleh, Own M. Al-Ajlouni, Khalil I. Hamarneh, Mohammad A. Hussein, Lina N. Mustafa, Basel E. Al-Bkoor, Amro Alkhatib, Layla Abu Joudeh, Osama Alghafri, Niazy Abu Farsakh

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: upper gastrointestinal bleeding; machine learning; endoscopic intervention; gradient boosting classifier; Glasgow Blatchford Score; Rockall Score

Online: 29 March 2024 (11:53:25 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202210.0371.v1

Evolution is Governed by the Information Laws of Conservation and Speciation

Radomir Crkvenjakov

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Evolution, Information Evolution; Information Laws; Coding Information; System Information; Species; Stasis

Online: 25 October 2022 (02:04:56 CEST)

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Others have proposed that living systems are characterized by the possession of a kind of information unique to them. This information, variously called semantic, symbolic, or coding information conveys meaning from senders to recipients, most commonly among genome and other cellular components, different cells, organisms, etc., enabling all biological functions. Unlike other kinds of information, it is only indirectly quantifiable and does not increase by copying. Here, the term system information is used to encompass the entire package of coding information enabling all organisms of a species to complete their life cycles through possession of its copy (Crkvenjakov and Heng 2021). System information grows in a nonreductive evolution only during speciation proper by the acquisition of novel functions by daughter species. Contemporary science agrees that species are units of evolution but has failed to recognize and parse the importance of phases of speciation and stasis for evolution. Confinement of system information change to speciation only explains for the first time why there are species and why their number increases nearly exponentially throughout evolution. More importantly, here we define that evolution as a process operating on a planetary scale, while chance based, is non-random mathematically since it obeys the Laws of Information which dictate the behavior of System information in organisms. Growth and persistence of system information on the non-degenerative portion of Tree of Life follow the law of conservation, which states that its growth is as parsimonious (minimal) as possible and the persistence of parental system information the maximal possible in each unit speciation step. This formulation is a restatement of Loewnstain's (1999) principle of information economy and our lock-in law (Crkvenjakov and Drmanac 2007). The principle holds that since, on chance assumption, the system information change cost is directly proportional to time, more costly pathways of achieving the same new functional goal will be, almost without exception, competed out by the less costly ones. As a corollary of the conservation law, the speciation law states that speciation follows the most economical way of growth of system information while conserving the existing one, which is horizontal information transfer by molecular sex (uptake of exogenous nucleic acid into the progeny genome) by exchange among two parents from maximally possible divergent lineages. The speciation law dictates that molecular sex mode be used since it is the most parsimonious one. The molecular sex cost in information bits is zero to the recipient, which is not the case with the generally accepted mode of vertical accumulation of information bits in a population gene pool within a lineage.

Preprint ARTICLE | doi:10.20944/preprints202403.0285.v2

Non-Negative Decomposition of Multivariate Information: from Minimum to Blackwell Specific Information

Tobias Mages, Elli Anastasiadi, Christian Rohner

Subject: Probability And Statistics, Computer Science And Mathematics Keywords: partial information decomposition; redundancy; synergy; information flow analysis; f-information; ré; nyi-information

Online: 25 April 2024 (14:18:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1531.v2

A Measure of Synergy Based on Union Information

André F. C. Gomes, Mário A. T. Figueiredo

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: information theory; partial information decomposition; union information; synergy; communication channels.; mutual information

Online: 25 January 2024 (09:11:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1533.v1

Associations of Clinical and Dosimetric Parameters with Urinary Toxicities after Prostate Brachytherapy: A Long-Term Single-Institution Experience

Masaya Ito, Chiyoko Makita, Takayuki Mori, Hirota Takano, Tomoyasu Kumano, Masayuki Matsuo, Koji Iinuma, Makoto Kawase, Keita Nakane, Masahiro Nakano, Tomoyasu Kumano

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: prostate cancer; brachytherapy; lower urinary tract symptom; international prostate symptom score (IPSS); overactive bladder symptom score (OABSS)

Online: 22 May 2023 (16:28:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0753.v1

Orders Between Channels and Some Implications for Partial Information Decomposition

André Gomes, Mário A.T. Figueiredo

Subject: Computer Science And Mathematics, Other Keywords: information theory; partial information decomposition; channel partial orders; intersection information; shared information; redundancy

Online: 10 May 2023 (13:27:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0821.v1

Prediction of Difficult Airway Using Arne Score and Flexible Laryngoscopy in Patients with Laryngeal Pathology

Danica Zlatimir Markovic, Maja Šurbatović, Dušan Milisavljević, Vesna Marjanović, Biljana D. Stošić, Milan Stankovic

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: Laryngoscopy; Airway Assessment; Intubation; difficult; Risk Score

Online: 14 March 2024 (09:32:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0495.v1

Movement Analysis to Predict Broiler Walking Ability

Danilo Florentino Pereira, Irenilza de Alencar Nääs, Nilsa Duarte da Silva Lima

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: computing image analysis; gait score; unrest index

Online: 19 April 2021 (14:17:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0164.v1

Decentralization and Transboundary Pollution: Evidence from the Change of Water Pollution Levels in China

Yongliang Yang, Manhong Shen

Subject: Business, Economics And Management, Economics Keywords: Boundary effect; Transboundary pollution; Propensity Score Matching

Online: 20 March 2017 (17:33:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0661.v1

Partial Information Decomposition and the Information Delta: A Geometric Unification Disentangling Non-Pairwise Information

James Kunert-Graf, Nikita Sakhanenko, David Galas

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: Partial Information Decomposition; Information Delta; Synergy; Co-Information; Non-Pairwise Dependence

Online: 27 September 2020 (04:18:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0892.v1

Predictive Score for Advanced Colorectal Neoplasia Based on Cardiovascular and Colorectal Cancer Risk Factors

Lara M. Ruiz Belmonte, Patricia Carrera-Lasfuentes, Alberto Cebollada-Solanas, Carmelo Scarpignato, Angel Lanas, Carla J. Gargallo-Puyuelo

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: colorectal neoplasia; cardiovascular risk; risk factors; predictive score

Online: 15 April 2024 (08:56:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1599.v1

Şengül Demiral, Meltem Nazıroğlu, Nurper Özbar, Cüneyt Taşkın

Subject: Social Sciences, Other Keywords: score analysis; competitive performance; performance analysis; covid-19

Online: 28 February 2024 (07:59:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.1394.v1

Distributed Subgraph Query Processing Using Filtering Scores on Spark

Kyoungsoo Bok, Minyoung Kim, Hyeonbyeong Lee, Dojin Choi, Jongtae Lim, Jaesoo Yoo

Subject: Computer Science And Mathematics, Computer Science Keywords: subgraph query; search order; distributed graph; filtering score

Online: 20 July 2023 (08:17:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0431.v2

Prediction of Postoperative Outcomes Following Hip Fracture Surgery: Independent Validation and Recalibration of the Nottingham Hip Fracture Score

William J. Doherty, Thomas A. Stubbs, Andrew Chaplin, Mike R. Reed, Avan A. Sayer, Miles D. Witham, Antony K. Sorial

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Hip fracture; Casemix; Validation; Discrimination; Risk score; Calibration

Online: 9 July 2020 (17:23:04 CEST)

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Objectives Independent validation of risk scores after hip fracture is uncommon, particularly for evaluation of outcomes other than death. We aimed to assess the Nottingham Hip Fracture Score (NHFS) for prediction of mortality, physical function, length of stay and postoperative complications. Design Analysis of routinely collected prospective data partly collected by follow-up interviews. Setting and Participants Consecutive hip fracture patients were identified from the Northumbria hip fracture database between 2014-2018. Patients were excluded if they were not surgically managed or if scores for predictive variables were missing. Methods C-statistics were calculated to test the discriminant ability of the NHFS, Abbreviated Mental Test Score (AMTS), and ASA grade for in-hospital, 30- and 120-day mortality, functional independence at discharge, 30-days and 120-days, length of stay, and postoperative complications. Results We analysed data from 3208 individuals, mean age 82.6 (SD 8.6). 2192 (70.9%) were female. 194 (6.3%) died during the first 30-days, 1686 (54.5%) were discharged to their own home, 211 (6.8%) had no mobility at 120-days, 141 (4.6%) experienced a postoperative complication. The median length of stay was 18 days (IQR 8-28). For mortality, c-statistics for the NHFS ranged from 0.68-0.69, similar to ASA and AMTS. For postoperative mobility, the c-statistics for the NHFS ranged from 0.74-0.83, similar to AMTS (0.61-0.82) and better than the ASA grade (0.68-0.71). Length of stay was significantly correlated with each score (p<0.001 by Jonckheere-Terpstra test); NHFS and AMTS showed inverted U-shaped relationships with length of stay. For postoperative complications, c-statistics for NHFS (0.54-0.59) were similar to ASA grade (0.53-0.61) and AMTS (0.50-0.58). Conclusions and Implications The NHFS performed consistently well in predicting functional outcomes, moderately in predicting mortality, but less well in predicting length of stay and complications. There remains room for improvement by adding further predictors such as measures of physical performance in future analyses.

Preprint ARTICLE | doi:10.20944/preprints201810.0171.v3

Clinical Relevance of Genome-Wide Polygenic Score may Be Less than Claimed

David Curtis

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: genome-wide polygenic score; coronary artery disease; AUC

Online: 6 December 2018 (07:06:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0398.v1

Trajectory of Type 2 Diabetes in Sepsis Outcome: Impacts of Diabetic Complication Burdens, Initial Glucose Level, and HbA1c: Population-Based Cohort Study Combining with Nationwide and Hospital-Based Database

Ming-Shun Hsieh, Sung-Yuan Hu, Chorng-Kuang How, Yi-Tzu Lee, Chen-June Seak, Vivian Chia-Rong Hsieh, Jen-Huai Chiang, Chiann-Yi Hsu, Sheng-Hsiang Ma, Pau-Chung Chen

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: diabetes mellitus; sepsis; diabetes complication severity index score

Online: 22 July 2018 (10:54:29 CEST)

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Background Diabetic patients have an increased risk of infections; however, the association between type 2 diabetes and hospital outcomes of sepsis remains controversial when the diabetes severity is not considered. We examined this association using nationwide and hospital-based databases concomitantly. Methods The first part of this study was conducted using 2 nationwide databases: the Longitudinal Cohort of Diabetes Patients and the Longitudinal Health Insurance Database 2000. The diabetic complication burden was evaluated using the adapted Diabetes Complications Severity Index score (aDCSI score). In the second part, we used the hospital-based database with laboratory data, such as initial blood glucose and HbA1c levels, to make comparisons between surviving and dead patients with type 2 diabetes and sepsis. Results The nationwide study included 19,719 type 2 diabetic sepsis patients and an equal number of non-diabetic patients. The diabetic sepsis patients had an increased odds ratio (OR) of 1.14 (95% CI 1.1-1.19) for hospital mortality. The OR for mortality increased as the complication burden increased (diabetic sepsis patients with aDCSI scores of 0, 1, 2, 3, 4, and ≥5 had ORs of 0.91, 0.87, 1.14, 1.25, 1.56, and 1.77 for mortality, respectively (all P<0.001 and P for trend <0.001)). A total of 1,054 diabetic sepsis patients were included from the hospital-based database. Initial blood glucose levels in the surviving and dead diabetic sepsis patients did not differ significantly: 273.9 ± 180.3 versus 266.1 ± 200.2 (mg/dL) (P=0.095). Moreover, the surviving diabetic sepsis patients did not have a lower HbA1c (%): 8.4 ± 2.6 versus 8.0 ± 2.5 (P=0.078). Conclusions In the case of type 2 diabetic sepsis patients, the diabetes-related complication burden is the major determinant of hospital mortality rather than the diabetes itself. Contrary to popular belief, initial blood glucose and HbA1c levels may not be as important as previously thought.

Preprint ARTICLE | doi:10.20944/preprints202308.0164.v1

Consciousness as a special case of emergent information

Daniel Boyd

Subject: Social Sciences, Cognitive Science Keywords: Emergence; Information; Consciousness; Integrated Information Theory; Emergent Information Theory; Connectome; Artificial Intelligence

Online: 2 August 2023 (08:36:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0380.v1

Internet Banking Information System

Tooba Najam, Amina Butt

Subject: Computer Science And Mathematics, Information Systems Keywords: Information System; Information Audit; Audit; Internet Banking

Online: 28 June 2022 (07:30:01 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202003.0306.v1

Information Behavior of the Academic Community of FMVZ-UNAM

Nora Lucía Galván-Ochoa, José Ricardo Manriquez-Betanzos

Subject: Social Sciences, Library And Information Sciences Keywords: information behavior; veterinary information needs; online survey

Online: 20 March 2020 (05:22:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0958.v1

The Efficacy of Intrathecal Dexmedetomidine VS Fentanyl on Post-Operative Pain: A Retrospective Study

Lou’i Al-Husinat, Sarah Al Sharie, Mohammad Araydah, Lana Talafha, Abbas Baydoun, Zaid AL Modanat, Giovanna Grasso, Silvia Tripepi, Maria Rosaria Cuomo, Mohammad Wasfi Amir, Domenico Gammaldi, Antonella Paladini, Giustino Varrassi

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: dexmedetomidine; fentanyl; spinal anesthesia; post-operative pain; VAS score

Online: 12 January 2024 (05:23:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0816.v1

Recalibration of Framingham Risk Score for Predicting 10-Year Cardiovascular Disease Risk in a South Indian Population

Thirunavukkarasu Sathish, Midhun Sasikumar, Getu Debalkie Demissie, Thyparambil Aravindakshan ParmodKumar, Brian Oldenburg, Anu Mary Oommen

Subject: Public Health And Healthcare, Other Keywords: Framingham Risk Score; cardiovascular disease; prediction; risk factors; recalibration

Online: 12 October 2023 (16:24:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1083.v1

Impact of Policy Packages on Beef Cattle Breeding in China: Evidence from 297 Beef Cattle Farmers

Junru Li, Zizhong Shi

Subject: Business, Economics And Management, Economics Keywords: beef cattle farming; supportive policies; evaluation; propensity score matching

Online: 18 September 2023 (05:52:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0820.v1

Dietary Pattern, Nutrition-Related Knowledge and Attitudes of Working Women in Western Province, Sri Lanka

Ayesha Salwathura, Faruk Ahmed

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Dietary Pattern; Dietary Diversity Score; Nutrition Knowledge; Nutrition Attitudes

Online: 12 June 2023 (10:13:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0305.v1

Polygenic Risk Score and Risk Factors for Gestational Diabetes

Marija Majda Perisic, Klemo Vladimir, Mario Storga, Ali Mostashari, Raya Khanin

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: gestational diabetes; pregnancy; polygenic risk score; gwas; machine learning

Online: 20 July 2022 (12:09:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0441.v1

The Moderating Role of CSR On the Antecedents And Out Come of Earnings Management in The Iraqi Firm

Mohammed Ghanim Ahmed, Yuvaraj Ganesan, Fathyah Hashim

Subject: Business, Economics And Management, Accounting And Taxation Keywords: board independence; audit committee; meeting frequency; M-score model

Online: 24 November 2021 (08:08:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0289.v3

Internet Access and Nutritional Intake: Evidence from Rural China

Ping Xue, Xinru Han, Ehsan Elahi, Yinyu Zhao, Xiudong Wang

Subject: Business, Economics And Management, Economics Keywords: internet access; nutritional intake; rural China; propensity score matching

Online: 11 June 2021 (14:54:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0314.v3

Financial Performance Analysis of Distressed Banks in Ghana: Exploration of Financial Ratios and Z-score

Juabin Matey

Subject: Business, Economics And Management, Economics Keywords: Bank; , Debt; Distress; Performance; Credit Management Practice; Z-score

Online: 19 December 2019 (13:05:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0169.v1

A Longitudinal Approach to Biological Psychiatric Research: The PsyCourse Study

Monika Budde, Heike Anderson-Schmidt, Katrin Gade, Daniela Reich-Erkelenz, Kristina Adorjan, Janos L. Kalman, Fanny Senner, Sergi Papiol, Till F. M. Andlauer, Ashley L. Comes, Eva C. Schulte, Farah Klöhn-Saghatolislam , Anna Gryaznova, Maria Hake, Kim Bartholdi, Laura Flatau, Markus Reitt, Silke Quast, Sophia Stegmaier, Milena Meyers, Barbara Emons, Ida Sybille Haußleiter, Georg Juckel, Vanessa Nieratschker, Udo Dannlowski, Max Schmauß, Jörg Zimmermann, Jens Reimer, Sybille Schulz, Jens Wiltfang, Eva Reininghaus, Ion-George Anghelescu, Volker Arolt, Bernhard T. Baune, Carsten Konrad, Andreas Thiel, Andreas J. Fallgatter, Christian Figge, Martin von Hagen, Manfred Koller, Fabian U. Lang, Moritz E. Wigand, Thomas Becker, Markus Jäger, Detlef E. Dietrich, Sebastian Stierl, Harald Scherk, Carsten Spitzer, Here Folkerts, Stephanie H. Witt, Franziska Degenhardt, Andreas J. Forstner, Marcella Rietschel, Markus M. Nöthen, Peter Falkai, Thomas G. Schulze, Urs Heilbronner

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Schizophrenia; bipolar; psychosis; depression; polygenic risk score; diagnosis; RDoC

Online: 27 October 2017 (11:58:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0091.v1

The Government Support and the Innovation of the New Energy Firms

Weijian Du, Mengjie Li

Subject: Business, Economics And Management, Economics Keywords: Government support; Innovation probability; Innovation destiny; Propensity score matching

Online: 10 May 2017 (18:04:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0130.v1

Information in the Three Dimensions of Time

seyed kazem mousavi, Jerzy Zbigniew Achimowicz

Subject: Physical Sciences, Quantum Science And Technology Keywords: information; physics

Online: 2 April 2024 (07:38:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1374.v1

COVID-19 Vaccine Hesitancy and the Role of Information: Lessons from South Africa

Syden Mishi, Weliswa Matekenya, Godfred Anakpo, Nomonde Tshabalala

Subject: Public Health And Healthcare, Other Keywords: Information; Sources of information; COVID-19; Vaccine hesitancy

Online: 19 May 2023 (04:20:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0426.v2

Cities, from Information to Interaction

Vinicius M. Netto, Edgardo Brigatti, João Meirelles, Fabiano L. Ribeiro, Bruno Pace, Caio Cacholas, Patricia Sanches

Subject: Social Sciences, Urban Studies And Planning Keywords: information; cities; interaction; environmental information; entropy; scale; enaction

Online: 10 October 2018 (05:32:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0234.v1

Symmetries among Multivariate Information Measures Explored Using Möbius Operators

David J. Galas, Nikita A. Sakhanenko

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: information; entropy; interaction-information; multi-information; Möbius inversion; lattices; multivariable dependence; symmetric group; MaxEnt; networks

Online: 9 November 2018 (03:53:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1052.v1

Identification of the Best Predictive Model for Mortality in Outborn Neonates – Retrospective Cohort Study

MARIA LIVIA OGNEAN, IOANA ANDRADA RADU, BIANCA COSMINA COTOVANU, DUMITRU ALIN TEACOE, SAMUEL BOGDAN TODOR, CRISTIAN ICHIM, IRIS CODRUTA MURESAN, ADRIAN GHEORGHE BOICEAN, RADU GALIS, MANUELA CUCEREA

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: newborn; outborn; sick neonatal score; mortality; neonatal transportation; scoring system

Online: 17 October 2023 (12:06:27 CEST)

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Background: Neonatal transportation of sick newborns is a major predictor of outcome. Prompt identification of the sickest newborns allows immediate corrective intervention and outcome optimization. Multiple severity scores were developed, however an optimal score has not yet been identified. Aim: To identify a rapid, accurate, and easy to perform score predictive for neonatal mortality in outborn neonates. Material and methods: All neonates, irrespective of gestational age, admitted by transfer in our level III regional neonatal unit between 01.01.2015 and 31.12.2021 were included. Infants with congenital critical abnormalities were excluded. Sick neonatal score (SNS) was calculated and compared between survivors and non-survivors. Gestational age (GA), birth weight (BW), gender, Apgar score, place of birth, time between delivery and admission (AT), early onset sepsis were collected from medical records and compared between study groups. Subgroup analysis was performed based on gestational age (preterm versus term infants). A new score was elaborated, including GA, BW, and AT, namely MSNS-AT score, to further improve mortality prediction. The main outcomes were mortality prediction using SNS and MSNS-AT score. Univariable and multivariable analysis, including Cox regression, were performed using SPSS Statistic 22.0. P-value was considered statistically significant if <0.05, 95% confidence intervals, odds ratio and hazard ratios were calculated were appropriate. Results: A total of 418 outborn infants were admitted during study period; 15 infants were excluded due to critical congenital defects. Out of 403 outborn infants, 217 born prematurely (53.8%), 224 males (55.6%), 20 died (4.96%). Compared to the survivors, the non-survivor neonates had significantly lower GA, BW, and SNS score (p<0.05), although only SNS score remained significantly lower in all subgroups (preterm vs term infants). A SNS score ≤8 was associated with mortality both in the whole study group and in subgroups (p<0.001). Time to admission was significantly associated with increased mortality rate in the whole group (p<0.05) and in preterm infants but not in term ones (p>0.05). In univariable and multivariable Cox regression models, MSNS-AT score, with a cut-off optimal value of ≤10 was more precise in predicting mortality compared to SNS (AUC 0.735 vs. 0.775) when applied to the entire group, had a lower accuracy in the term infants (AUC 0.765 vs 0.809) and a better accuracy the preterm infants group (AUC 0.885 vs. 0.810). Conclusions: The MSNS-AT score – calculated by adding GA, BW, and AT to the SNS score - significantly improved mortality prediction at admission in the whole study group as compared to SNS score. The best accuracy prediction of MSNS-AT score was observed in preterm infants suggesting that, besides GA and BW, TA may be decisive for the outcome of outborn preterm infants. Further studies are necessary to confirm the predictive value of MSNS-AT score and to identify variables that can improve its value in term infants without affecting the simplicity, ease, and rapidity of the scoring system.

Preprint REVIEW | doi:10.20944/preprints202307.0111.v1

Interpretation of Tumor Response Grade Following Preoperative Therapy for Gastric Cancer: An Overview

Vasileios Tsagkalidis, Maryjka B. Blaszczyk, Haejin In

Subject: Medicine And Pharmacology, Surgery Keywords: tumor response grade (TRG); gastric cancer; RECIST; tumor regression score

Online: 3 July 2023 (14:25:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0010.v1

Use of Biomarkers to Improve 28-Day Mortality Stratification in Patients with Sepsis and SOFA≤6

Jaume Baldirà, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartin, Luis Chiscano, Alejandro Cortés, Diego Angeles-Sistac, Roser Ferrer-Costa, Imma Comas, Yolanda Villena, M.Nieves Larrosa, Juan José González-López, Ricard Ferrer

Subject: Medicine And Pharmacology, Emergency Medicine Keywords: Sepsis biomarkers; mortality; MR-proADM; SOFA score; Lactate; molecular diagnosis

Online: 3 July 2023 (08:10:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2111.v1

Impact of Homegrown School Feeding Program on Smallholders' Farmer Household Food Security in Northeastern Nigeria

Bulus Barnabas, Sylvester Amoako Agyemang, Edwin Zhllima, Miroslava Bavorova

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: smallholder farmers; food security; school feeding; Nigeria; propensity score matching

Online: 30 May 2023 (10:31:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0251.v1

Comprehensive Study of Thunderstorm Indices Threshold Favorable for Thunderstorms During Monsoon Season Using WRF-ARW Model and ERA5 Over India

Unashish Mondal, Anish Kumar, S. K. Panda, Devesh Sharma, Someshwar Das

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Thunderstorm Indices; WRF-ARW; Lightning; Optimal Threshold; Model Skill Score

Online: 4 May 2023 (10:01:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0187.v1

Workload in the Care of a Patient with Congenital Diaphragmatic Hernia and the Patient’s Need for Nursing Care

Paulina Szydłowska-Pawlak, Dorota Maria Kilańska, Remigiusz Kozlowski, Roman Załuska, Monika Borzuchowska, Michał Marczak

Subject: Public Health And Healthcare, Nursing Keywords: nurse; workload; staff workload; nursing intensive care; nursing activities score

Online: 10 February 2023 (07:53:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0026.v1

Tracking Obesity Phenotypes in Korean Adults Based on KNHANES (2015-2019)

Jieun Shin, Okhyun Kim, Myoungsook Lee

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: obesity phenotypes, obesogenic environments, metabolic syndrome, K-score, food pattern

Online: 1 November 2022 (09:36:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0108.v1

Clinical Validation of the Greek Version of the Acute Cystitis Symptom Score (ACSS). Part II

Konstantinos Stamatiou, Evangelia Samara, Jakhongir F. Alidjanov, Adrian M. E. Pilatz, Kurt G. Naber, Florian M. E. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Acute Cystitis Symptom Score; cystitis; patient-reported outcome; questionnaire; women

Online: 6 September 2021 (17:02:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0559.v1

Comparative Analysis of Lenvatinib and Hepatic Arterial Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: A Multi-Center, Propensity Score Study

Jaejun Lee, Ji Won Han, Pil Soo Sung, Soon Kyu Lee, Hyun Yang, Hee Chul Nam, Sun Hong Yoo, Hae Lim Lee, Hee Yeon Kim, Sung Won Lee, Jung Hyun Kwon, Jeong Won Jang, Chang Wook Kim, Soon Woo Nam, Jung Suk Oh, Ho Jong Chun, Si Hyun Bae, Jong Young Choi, Seung Kew Yoon

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Hepatocellular carcinoma; Lenvatinib; Hepatic arterial infusion chemotherapy; Propensity score matching

Online: 26 July 2021 (09:59:34 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202105.0402.v2

I Can Achieve Intrauterine Growth Rete if You Give Me Enough Nutrition: Preterm Infant Born at ≤29 Weeks Gestation

Angela Hoyos

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Very preterm infants; Z-score on weight; neonatal nutrition; appropriate intrauterine neonatal growth

Online: 30 July 2021 (15:00:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0295.v1

Veridical Causal Inference for Comparative Effectiveness Research Using Medical Claims

Ryan Ross, Xu Shi, Megan Caram, Pheobe Tsao, Paul Lin, Amy Bohnert, Min Zhang, Bhramar Mukherjee

Subject: Medicine And Pharmacology, Other Keywords: insurance claims; reproducibility; propensity score; veridical data science; sensitivity analysis

Online: 24 June 2020 (09:51:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0298.v2

A Hierarchical Machine Learning Model to Discover Gleason Grade Group-specific Biomarkers in Prostate Cancer

Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zheng, Srinath Kandalam, Crystal Lueng, Govindaraja Aikukke, Dora Cavallo-Medved, Nallasivam Palanisamy, Luis Rueda

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: classification; prostate cancer; gleason score; machine learning; next-generation sequencing

Online: 26 November 2019 (04:01:21 CET)

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1) Background: One of the most common cancer that affects men worldwide and North American men is prostate cancer. Gleason score is a pathological grading system to examine the potential aggressiveness of the disease in the prostate tissue. The advancement in computing and next-generation sequencing technology now allow us to study the genomic profiles of patients in association with their different Gleason score more accurately and effectively. 2) Methods: In this study, we used a novel machine learning method to analyze gene expression of prostate tumors with different Gleason scores, and identify potential genetic biomarkers for each Gleason group. We obtained a publicly-available RNA-Seq dataset of a cohort of 104 prostate cancer patients from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO) repository, and categorized patients based on their Gleason scores to create a hierarchy of disease progression. A hierarchical model with standard classifiers in different Gleason groups, also known as nodes, was developed to identify and predict nodes based on their mRNA or gene expression. In each node, patient samples were analyzed via class imbalance and hybrid feature selection techniques to build the prediction model. The outcome from analysis of each node is a set of genes that can differentiate each Gleason group from the remaining groups. To validate the proposed method, the set of identified genes are used to classify a second dataset of 499 prostate cancer patients collected from cBioportal [1]. 3) Results: The overall accuracy of applying this novel method to the first dataset was 93.3%, and further validated to 87% accuracy using the second dataset. This method also identified genes that were not previously reported as potential biomarkers for specific Gleason groups. In particular, PIAS3 was identified as a potential biomarker for Gleason score 4+3=7, and UBE2V2 for Gleason score 6. 4) Insight: Previous reports show that the genes predicted by this newly proposed method strongly correlate with prostate cancer development and progression. Furthermore, pathway analysis shows that both PIAS3 and UBE2V2 share similar protein interaction pathways, the JAK/STAT signaling process.

Preprint ARTICLE | doi:10.20944/preprints201911.0223.v1

Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

Julen Castellano Paulis, Miguel Pic

Subject: Social Sciences, Education Keywords: match analysis; team sport; key performance indicator; interaction; elite; score

Online: 19 November 2019 (03:57:36 CET)

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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 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/preprints202404.1025.v1

Pre-infection Nutritional Status, Oxidative Stress, and One-Year Long COVID Persistence in Patients Undergoing Hemodialysis: A Prospective Cohort Study

Natalia Stepanova, Lesya Korol, Tetyana Ostapenko, Valeriia Marchenko, Olga Belousova, Lyudmila Snisar, Iryna Shifris, Mykola Kolesnyk

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: long COVID; hemodialysis; controlling nutritional status score; undernutrition; oxidative stress; persistence

Online: 16 April 2024 (11:10:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1968.v1

Effect of Agricultural Production Trusteeship on Agricultural Carbon Emission Reduction

Xiaoyan Sun, Shuya Guang, Jingjing Cao, Fengying Zhu, Jianxu Liu, Songsak Sriboonchitta

Subject: Social Sciences, Other Keywords: agricultural production trusteeship; agricultural carbon emission reduction; propensity score matching (PSM)

Online: 28 June 2023 (08:34:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1847.v1

Inverse Association between Dairy Product Consumption and Lower Cognitive Function in Community-Dwelling Japanese Older Adults Based on a Cross-Sectional Study

Hunkyung Kim, Yosuke Osuka, Narumi Kojima, Hiroyuki Sasai, Kentarou Nakamura, Chisato Ohba, Mayuki Sasaki, Takao Suzuki

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: dairy product consumption; mini-mental state examination score; lower cognitive function

Online: 27 June 2023 (04:58:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1735.v1

Framework for Simulation Study Involving Volatility Estimation: The GAS Approach

Richard T. A. Samuel, Charles Chimedza, Caston Sigauke

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: consistency; efficiency; score driven model; simulation design; time-varying parameter estimation

Online: 26 June 2023 (04:40:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0484.v1

Promotion Effect of Agricultural Production Trusteeship on High-quality Production of Grain——Evidence from the Perspective of Farm Households

Xiaoyan Sun, Youchao Wang, Fengying Zhu, Xiaoyu Liu, Jianxu Liu, Songsak Sriboonchitta

Subject: Business, Economics And Management, Economics Keywords: agricultural production trusteeship; high-quality production of grain; propensity score matching

Online: 7 June 2023 (04:04:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0094.v1

A Randomized, Placebo Controlled, Double Blinded, Parallel Group Clinical Study to Evaluate the Efficacy and Safety of AEV01 for Mild COVID19 in Elderly Patients at Risk of Complications

RAMESH KANNAN, VANITHA MURALIKUMAR, VAMSEEDHAR ANNAM, SAKTHI BALAN, ARAVINDA KUMAR, SEKHAR MM, RENU MEDASANI

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: COVID-19; Picrorhiza kurroa; AEV01; NEW Score; Immunomodulatory; unvaccinated elderly population

Online: 7 May 2022 (05:47:32 CEST)

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Background: While several drugs are in the pipeline for treatment of various grades of COVID-19 disease, none of them have shown promise until now. Medicinal plants are crucial in developing and developed countries for their primary and basic health needs owing to better tolerability, superior compatibility with human body and having lesser side effects. AEV01 , a speciality extract of kutki (Picrorhiza kurroa), is one potential medicinal herb which can be effective for mild COVID19 in elderly patients at risk of complications and aging immunity. Purpose: The efficacy and safety of AEV01 for mild COVID-19 in elderly patients at risk of complications was investigated in this study. Study design: A prospective, phase 3, randomized, multicentric, placebo controlled double blinded parallel group interventional trial. Methods: This study was conducted in elderly patients diagnosed as COVID-19 with mild symptoms. 70 patients were randomized into two groups to receive AEV01 capsule (100mg) and placebo respectively thrice daily for 30 days along with standard care of treatment as per national WHO/ICMR guidelines. Clinical improvement timelines and corresponding scores using 8-point ordinal scale and NEWS were assessed for efficacy and safety of AEV01 in COVID-19 patients. Results: AEV01 group showed a significant improvement (P=0.0001) in the normalization of the SpO₂ rate and relief from cough. There was also significant difference in time to recovery, with patients in the AEV01 drugtreated group recovering in 4.5 days as compared to Placebo in 9.1 days. ESR, LDH, serum ferritin, Neutrophil-Lymphocyte ratio (NLR), TNF- alpha, IL-6 and CD4 cell counts, which are considered as prognostic markers in COVID19 infected patients, showed a significant improvement in patients treated with AEV01. The AEV01 drug treated group showed significant clinical improvement in the 8-point ordinal scale severity rating and NEW Score from day 3 onwards which continued up to end of study. Conclusion: AEV01 has shown a significant improvement in clinical and laboratory parameters. There was also reduction in the progression of the COVID-19 disease in unvaccinated elderly patients from mild to moderate when treated at an earlier stage.

Preprint CONCEPT PAPER | doi:10.20944/preprints202202.0114.v1

Why D-Mannose May Be as Efficient as Antibiotics in the Treatment of Acute Uncomplicated Lower Urinary Tract Infections Preliminary Considerations and Conclusions from a Non-interventional Study

Florian Wagenlehner, Horst Lorenz, Oda Ewald, Peter Gerke

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: urinary tract infection; cystitis; D-mannose; antibiotics; acute cystitis symptom score

Online: 8 February 2022 (13:25:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0211.v1

Development and Validation of a Risk Score to Predict Low Birthweight Using Characteristics of the Mother: A Prospective Cohort Study

Hamid Y. Hassen, Bilal S. Endris, Meselech A. Roro, Seifu H. Gebreyesus, Jean-Pierre Van Geertruyden

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: prediction; model; risk score; low birthweight; pregnant women; decision curve analysis

Online: 13 April 2020 (11:15:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0356.v1

Initial Review and Analysis of COVID-19 Host Genetics and Associated Phenotypes

Yosuke Tanigawa, Manuel Rivas

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; SARS-CoV-2; host genetics; genetics; polygenic risk score

Online: 24 March 2020 (08:36:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0181.v1

A Democratic Method and Index to Rationalize Authorship Decisions and Determine the Order of Authors

Thorsten Schmidt

Subject: Social Sciences, Library And Information Sciences Keywords: Authorship contributions, Authorship Score, Authorship Conflicts, First Author, Decision Making, Bibliometry

Online: 9 October 2018 (09:45:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0044.v1

Fluctuation Theorem of Information Exchange within an Ensemble of Paths Conditioned at a Coupled-Microstates

Lee Jinwoo

Subject: Physical Sciences, Condensed Matter Physics Keywords: local non-equilibrium thermodynamics, fluctuation theorem, mutual information, entropy production, local mutual information, thermodynamics of information, stochastic thermodynamics

Online: 3 April 2019 (11:39:48 CEST)

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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/preprints202404.0043.v1

CA-125 KELIM as a tool to identify which patients can benefit from PARPi in high grade serous advanced ovarian cancer: A retrospective diagnostic accuracy study.

Dimitrios Zouzoulas, Dimitrios Tsolakidis, Panagiotis Tzitzis, Kimon Chatzistamatiou, Vasilis Theodoulidis, Iliana Sofianou, Grigoris Grimbizis, Eleni Timotheadou

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: KELIM score; Homologous recombination deficiency (HRD); Poly (ADP-ribose) polymerase inhibitors (PARPi).

Online: 1 April 2024 (11:12:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0679.v1

Predicting and Analyzing Rainfall Patterns in Ethiopia Using Linear Regression Modeling

Moges Tsegaw Melesse, Gezahegn Mulusew Delele

Subject: Computer Science And Mathematics, Computer Science Keywords: Rainfall patterns; Ethiopia; Linear regression modeling; R-squared score; Mean squared error

Online: 14 March 2024 (05:28:48 CET)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202308.0886.v1

Estimating Multivariate models for Association between soil Major and minor Micronutrients

Rajarathinam Arunachalam, Ramji Madhaiyan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Kaiser-Meyer-Olkin Test; Pearson correlation; Eigenvalue; Score plot; PCA; FA; CCA

Online: 11 August 2023 (03:39:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1106.v1

An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization

Oguzhan Katar, Ozal Yildirim

Subject: Engineering, Other Keywords: Vision Transformers; white blood cells; explainable AI models; deep learning; Score-CAM

Online: 15 June 2023 (08:42:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1103.v1

Clinical Implication of Bilateral and Unilateral Multifocality in Papillary Thyroid Carcinoma: A Propensity Score-Matched Study

Youngmin Kim, Solji An, Joonseon Park, Ja Seong Bae, Jeong Soo Kim, Kwangsoon Kim

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: bilaterality; unilateral multifocality; papillary thyroid carcinoma; disease-free survival; propensity score matching

Online: 15 June 2023 (08:22:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1053.v2

Food Front-of-pack Labelling and the Nutri-Score Nutrition Label—Poland-wide Cross-sectional Expert Opinion Study

Mariusz Panczyk, Hubert Dobrowolski, Beata I. Sińska, Alicja Kucharska, Mariusz Jaworski, Iwona Traczyk

Subject: Biology And Life Sciences, Food Science And Technology Keywords: consumer awareness; dietary choices; front-of-pack label; Nutri-Score; nutrition labelling

Online: 8 June 2023 (10:06:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1335.v1

Improved Posttransplant Outcomes with HTK-Custodial When Compared to St. Thomas Solution for Preservation of the Cardiac Allograft

Filip Dulguerov, Tamila Abdurashidova, Emeline Christophel-Plathier¹, Barbara Pitta-Gros, Anna Nowacka, Ziyad Gunga, Raymond Pfister, Mario Verdugo-Marchese, Valentina Rancati, Lars Niclauss, Piergiorgio Tozzi, Albert Adelin, Zied Ltaief, Samuel Rotman, Philippe Meyer, Roger Hullin, Matthias Kirsch

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: Heart Transplantation; Cardiac Preservation Solutions; Inotropic Score; Early Results; Mid-term Results

Online: 18 May 2023 (10:50:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0372.v1

Improvement in the Multiple Sclerosis Functional Composite Score by Multi-Function Swing Suspension Training Program

Sara Sepehri far, Banafsheh Amiri, Mansour Sahebozamani, Hossein Ali Ebrahimi

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: Multiple sclerosis; Multiple Sclerosis Functional Composite Score; Multi-Function Swing Suspension Training

Online: 27 May 2022 (08:59:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0038.v1

Percutaneous Radiofrequency Ablation with or without Chemolipiodolization for Early-stage Hepatocellular Carcinoma: A Propensity Score-matched Analysis

Kota Takaki, Masahito Nakano, Kazuta Fukumori, Yoichi Yano, Yuki Zaizen, Takashi Niizeki, Kotaro Kuwaki, Masaru Fukahori, Takahiko Sakaue, Sohei Yoshimura, Mika Nakazaki, Takuji Torimura

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: hepatocellular carcinoma; percutaneous radiofrequency ablation; chemolipiodolization; risk factors; propensity score-matched analysis

Online: 4 October 2021 (10:19:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0012.v1

Living Donor Liver Transplantation for Budd-Chiari Syndrome: A Propensity Score-Matched Analysis

Vasanthakumar Gunasekaran, Mettu Srinivas Reddy, Ashwin Rammohan, Naresh P Shanmugam, Deepashree Thirchunapalli, Rathnavel G Kanagavelu, Ilankumaran Kaliamoorthy, Mohamed Rela

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Budd-Chiari syndrome; Living donor; Liver transplantation; Propensity score-Matched Analysis; Outcomes

Online: 1 October 2021 (11:52:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0303.v1

Controlling Nutritional Status (CONUT) Score is a Prognostic Indicator for Patients with Hemorrhagic Stroke: Results from a 3-month Follow-up Study

Bei-lei Zhu, Yan-zhi Wu, Zhong-ming Cai, Cheng-wei Liao, Le-qiu Sun, Zhi-peng Liu, Hao-man Chen, Xue-rong Huang, Ren-qian Feng, Sheng-lie Ye, Qun-li Lin, Xu-dong Zhou, Man-man Zhang, Bo Yang

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Controlling Nutritional Status Score; Hemorrhagic stroke; Nutrition screening; Prognosis; Modified Rankin Scale

Online: 15 January 2021 (16:08:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202006.0204.v1

High Concentrations of Presepsin in the Bile and Its Marked Elevation in Biliary Tract Diseases: A Retrospective Analysis

Takashi Yamaguchi, Masahiro Ohira, Naoyuki Kawagoe, Shoko Nakamura, Shou Tanaka, Rena Oka, Yasuhiro Watanabe, Yuta Sato, Atsuhito Saiki, Yasuo Matsuzawa, Hideaki Bujo, Kensuke Terai, Nobuyuki Hiruta, Ichiro Tatsuno, Chiaki Nakaseko, Hidemasa Kikuchi, Katsuyoshi Matsuoka, Hiromitsu Yokota, Naomi Shimizu

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Presepsin; Sepsis; Sequential Organ Failure Assessment (SOFA) score; alkaline phosphatase (ALP); Bile

Online: 16 June 2020 (09:43:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0041.v1

Plasma cBIN1 Score (CS) Identifies HFpEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Andriana P. Nikolova, Tara C. Hitzeman, Rachel Baum, Bing Xu, Sosse Agvanian, Yu Xie, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarkers; heart failure with preserved ejection fraction (HFpEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (13:49:49 CET)

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Objective: We determined, in stable ambulatory heart failure with preserved ejection fraction (HFpEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS) to diagnose heart failure and prognosticate future hospitalization. Background: Heart failure (HF) poses a costly health care burden worldwide with rising prevalence. Abnormal calcium signaling is intrinsic to HF pathophysiology and correlates with reduced expression of a cardiac membrane scaffolding protein, cardiac bridging integrator 1 (cBIN1). We hypothesize that CS, a numerical score derived from plasma cBIN1 concentration, is a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 is quantified by an ELISA test, and CS is calculated as the natural log of the normalized reciprocal of plasma cBIN1 concentration. We determined CS among 52 clinically stable individuals with HFpEF (LVEF ≥ 50%) (mean age 57 ± 15 years old, 63% men) and 104 age and sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and one year longitudinal clinical information were obtained through electronic medical records. Results: Median CS is 0 (IQR -0.4 – 0.6) in the control cohort and is increased to 1.8 in the HFpEF cohort (IQR 1.5 – 2.3, p < 0.0001). For HFpEF diagnosis, CS has a receiver operating characteristic (ROC) area under the curve (AUC) of 0.94 (95% CI 0.95 – 0.99) and NT-proBNP of 0.89 (95% CI 0.83 – 0.95). Kaplan-Meier analysis of one year cardiovascular hospitalizations reveals that HFpEF patients with CS ≥ 1.8 have a hazard ratio (HR) of 4.0 (95% CI 1.4 – 11.2, p=0.009). Combining CS ≥ 1.8 with NT-proBNP ≥ 300 pg/mL, increases HR to 21.4 (95% CI 2.7 – 171.6, p=0.004). Conclusions: In a cohort of stable ambulatory HF patients with cardiomyopathies of multiple etiologies and preserved ejection fraction, a positive CS correlates with worsening myocardial health and predicts future hospitalization. CS, a marker of cardiac muscle health, provides a novel index to informing the management of stable ambulatory HF patients.

Preprint ARTICLE | doi:10.20944/preprints201801.0040.v1

Plasma cBIN1 Score (CS) Identifies HFrEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Yu Xie, Tara C. Hitzeman, Ronit H. Zadikany, Andriana P. Nikolova, Rachel Baum, Bing Xu, Sosse Agvanian, Gil Y. Melmed, Dermot T. McGovern, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin M. Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarker; heart failure with reduced ejection fraction (HFrEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (12:51:36 CET)

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Objective: We determined, in stable ambulatory heart failure with reduced ejection fraction (HFrEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS), which assesses the health of cardiac muscle, to identify patients with known heart failure (HF) and to prognosticate future hospitalization. Background: Limited clinical tools are available in assessing cardiac muscle health in stable ambulatory patients. Cardiac bridging integrator 1 (cBIN1) is a cardiomyocyte t-tubule membrane scaffolding protein which regulates calcium signaling in cardiomyocytes, decreases in failing muscle, and is present in plasma in levels that correlate with cardiac content. We hypothesize that CS, a normalized index of plasma cBIN1 concentration, can function as a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 concentration is measured by an ELISA test, and CS is calculated as the natural log of the ratio of a constant population mean cBIN1 to measured cBIN1 concentration. We determined CS among 125 clinically stable individuals with HFrEF (LVEF ≤ 40%) (mean age 56 ± 10 years old, 79% men) and 125 age, sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and 18-month longitudinal clinical information were obtained through electronic medical records. Results: CS follows a normal distribution with a median of 0 in the control population and median is significantly increased among HFrEF patients to 1.8 (IQR 1.4 – 2.1, p < 0.0001). CS diagnosed HFrEF with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.93 (AUC is 0.98 for NT-proBNP, and combined CS and NT-proBNP AUC is 0.99). Unlike NT-proBNP, CS does not correlate with body mass index (BMI) in either the control or HFrEF population (Pearson’s r = -0.15, p = 0.12; Pearson’s r = 0.003, p = 0.97, respectively). NT-proBNP significantly correlates with renal function (Pearson’s r = -0.37, p = 0.001), while CS also has no correlation (Pearson’s r = 0.03, p = 0.71). During an 18-month follow-up, a high CS ≥ 1.8 at the initial visit predicted future cardiovascular hospitalizations (38% vs. 21%, p = 0.04, hazard ratio 2.0). NT-proBNP did not predict future cardiovascular hospitalizations. Conclusions: Plasma cBIN1 based CS is insensitive to BMI and renal function and differentiates myocardial health between patients with HFrEF versus matched controls. An abnormally high CS reflected poor intrinsic myocardial health and can predict future 18-month cardiac hospitalization in stable ambulatory patients.

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/preprints202302.0389.v1

Entropic Dynamics in a Theoretical Framework for Biosystems

Richard L Summers

Subject: Biology And Life Sciences, Biophysics Keywords: entropic dynamics; biosystems; Kullback Principle of Minimum Information Discrimination; biocontinuum; information geometry

Online: 22 February 2023 (15:32:36 CET)

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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/preprints201611.0148.v1

Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields

Hadi Hajieghrary, Daniel C. Mox, M. Ani Hsieh

Subject: Engineering, Control And Systems Engineering Keywords: multi-agent systems; information theory; distributed control; value of information; collaborative search

Online: 29 November 2016 (07:20:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0845.v1

Prototype to Mitigate Risks and Threats for the Closure of Small and Medium-Sized Businesses with the Support of ICT

Anibal AA Altamirano Salazar, Segundo Moisés MT Toapanta Toapanta, Rodrigo RDP Del Pozo Durango, Lenin LA Altamirano Gallegos, José Antonio AOT Orizaga Trejo, Roció RM Maciel Arellano, Elizabeth EO Ordoñez CHavez

Subject: Computer Science And Mathematics, Information Systems Keywords: Information systems; Risk management model; Risk Assessment; Threats and Vulnerabilities; Closure and Bankruptcy of SMEs, Information technologies; Security of the information.

Online: 12 April 2024 (10:41:50 CEST)

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