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Preprint REVIEW | doi:10.20944/preprints202404.1698.v1

Intravenous Lipid Emulsions in Anticonvulsants' Toxicity

Simeonka Dimitrova Dimitrova, Stela Toshkova Dragomanova, Gabriela Krasimirova Kehayova

Subject: Pharmacology And Toxicology, Medicine And Pharmacology Keywords: intravenous lipid emulsion; acute intoxication; antiepileptics; antidote; Glasgow Coma Scale scores; QT interval

Online: 25 April 2024 (16:52:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1448.v1

Sleepiness and Vitamin D Levels in Patients with Obstructive Sleep Apnea

Kostas Archontogeorgis, Nicholas-Tiberio Economou, Panagiotis Bargiotas, Evangelia Nena, Athanasios Voulgaris, Konstantina Chadia, Georgia Trakada, Andrea Romigi, Paschalis Steiropoulos

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: Vitamin D; sleepiness; obstructive sleep apnea (OSA); sleep apnea; Epworth Sleepiness Scale (ESS)

Online: 26 February 2024 (13:57:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0166.v1

Leveraging Remotely Sensed and Climatic Data for Improved Crop Yield Prediction in the Chi Basin, Thailand

Akkarapon Chaiyana, Ratchawatch Hanchoowong, Neti Srihanu, Haris Prasanchum, Anongrit Kangrang, Rattana Hormwichian, Siwa Kaewplang, Werapong Koedsin, Alfredo Huete

Subject: Engineering, Other Keywords: Decision support tools; machine learning; remote sensing, climatic data, predictive model; province scale

Online: 2 February 2024 (12:15:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0041.v1

Refracted Gravity Solutions from Small to Large Scales

Valentina Cesare

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: modified gravity; dark matter; galaxy dynamics; acceleration scale; scaling relations; galaxy clusters; cosmology

Online: 1 February 2024 (12:55:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1593.v1

Prospective Study of 506 Dogs with Tick Paralysis: Investigating Measures of Severity and Clinical Signs as Predictors of Mortality and Assessing the Benefits of Different Therapeutics.

Rick Atwell, Dianne Vankan

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: tick paralysis; tick antiserum; mortality rates; visual analogue scale; Ixodes holocyclus; facial expressions

Online: 21 December 2023 (09:27:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0139.v1

LP-based Row Generation using Optimization-based Sorting Method for Solving Budget Allocation with a Combinatorial Number of Constraints

Aphisak Witthayapraphakorn, Sasarose Jaijit, Peerayuth Charnsethikul

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: row generation; sorting method; linear programming; large-scale problem; budget allocation; capital budgeting

Online: 2 November 2023 (08:44:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0646.v1

Multi-Scale Recursive Identification of Urban Functional Areas Based on Multi-Source Data

Ting Liu, Gang Cheng, Jie Yang

Subject: Environmental And Earth Sciences, Geography Keywords: Urban Functional Area; CA-RFM Model; Multi-scale recursive recognition; POI quantitative identification

Online: 9 August 2023 (02:45:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0556.v1

Multi-scale Friction Simulation of Carbon Nanotube-Reinforced Nitrile Butadiene Rubber Composites Based on Molecular Dynamics and Finite Element Analysis

Ce Liang, Changgeng Shuai, Xue Yang

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: multi-scale model; CNT/NBR composites; molecular dynamics; finite element analysis; friction coefficient

Online: 10 July 2023 (07:10:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1842.v1

MSTPose: Learning Enriched Visual Information with Multi-Scale Transformers for Human Pose Estimation

Chengyu Wu, Xin Wei, Shaohua Li, Ao Zhan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: human pose estimation; multi-scale transformer; coordinate attention; one-dimensional coordinate vector regression

Online: 27 June 2023 (03:11:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0741.v1

Carbon Monoxide Production During Bio-Waste Composting Under Different Temperature and Aeration Regimes

Karolina Sobieraj, Sylwia Stegenta-Dąbrowska, Christian Zafiu, Erwin Binner, Andrzej Białowiec

Subject: Environmental And Earth Sciences, Waste Management And Disposal Keywords: carbon monoxide dehydrogenase (CODH); bio-waste treatment; lab-scale composting; kinetics; oxygen deficit

Online: 10 May 2023 (10:41:07 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202112.0201.v5

Wood Burial May Be a Leading Candidate for Carbon Sequestration

Kai Xu

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Carbon sequestration; Elemental stoichiometry; Energy use efficiency; First principles; Sequestration scale; Sequestration time

Online: 9 January 2023 (01:14:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0013.v1

Inorganic Powders Prepared from Fish Scales

Tatiana V. Safronova, Viktor I. Vorobyov, Natalia R. Kildeeva, Tatiana B. Shatalova, Otabek U. Toshev, Yaroslav Yu. Filippov, Artem O. Dmitrienko, Olga Т. Gavlina, Olga P. Chernega, Elena V. Nizhnikova, Marat M. Akhmedov, Konstantin A. Lysenko

Subject: Chemistry And Materials Science, Biomaterials Keywords: fish scale powder; high-speed grinding; heat treatment; hydroxyapatite; magnesium whitlockite; nanosized grain

Online: 1 July 2022 (10:05:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0355.v1

Scaled-Up Multi-Needle Electrospinning Process Using Parallel Plate Auxiliary Electrodes

Étienne J. Beaudoin, Maurício M. Kubaski, Mazen Samara, Ricardo J. Zednik, Nicole R. Demarquette

Subject: Engineering, Mechanical Engineering Keywords: electrospinning; multi-needle electrospinning; scale-up; auxiliary electrodes; nanofibers; non-woven membranes; PVDF

Online: 28 March 2022 (07:52:48 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0244.v1

Curating and Comparing 114 Strain-Specific Genome-Scale Metabolic Models of Staphylococcus aureus

Alina Renz, Andreas Dräger

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Staphylococcus aureus; MRSA; genome-scale metabolic models; model-driven discovery; strain-specific models

Online: 8 April 2021 (14:25:31 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202101.0499.v1

Integrated Machian Model of a Light Speed Rotating Universe

Satya Seshavatharam U.V, Lakshminarayana S

Subject: Physical Sciences, Acoustics Keywords: Mach's Universe; Planck scale; Cosmic Angular velocity; Galactic applications; shortened radius; shortened age;

Online: 25 January 2021 (13:46:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0335.v1

Reflection Symmetry Axes Localization Framework for Object Intelligent Perception based on Salient Symmetry Feature

Kaichao Wu, Yuan Qi, Yuanju Ma, Cheng Liu, Dazhi Jiang

Subject: Computer Science And Mathematics, Computer Science Keywords: Object perception; Reflection symmetry; Saliency Symmetry Model; Isotropic symmetry operator; Multi-scale implementation

Online: 15 October 2020 (16:32:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0207.v1

The Prevalence and Sociodemographic Correlates of Social phobia in Oman: Online National Survey

Aamal Ambusaidi, Salim Al Huseini, Hiba Alshaqsi, Manal AlGhafri, Moon-Fai Chan, Nasser Al-Sibani, Samir Al-Adawi

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Social Anxiety Disorder; Social Phobia, Online Survey; Adult, Oman; Liebowitz Social Anxiety Scale

Online: 8 August 2020 (09:39:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0345.v1

Foetal Music Perception: A Comparison Study between Heart Rate and Motor Responses Assessed by APIB Scale in Ultrasound Exam

Rosana Maria Tristao, Jose Alfredo Lacerda de Jesus, Mônica de Lima Lemos, Ricardo Dourado Freire

Subject: Social Sciences, Psychology Keywords: foetus; music perception; tempo; heart rate variability; ultrasound exam; APIB scale; habituation; sensitization

Online: 16 July 2020 (07:49:50 CEST)

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Music perception in foetuses has been explored under different theoretical paradigms such as habituation, categorical perception, sound preferences and recall. This study investigated the temporal dimension of music perception through the habituation and sensitization paradigm. Foetuses of 41 pregnant women, mean gestational age of 34.7 weeks (±2.4), were observed during ultrasound exams. Foetuses’ reaction to two different tempos (Allegro vs Adagio) and sources (internal vs external) of music stimuli was registered by heart rate variability (HR) and motor response according to the Assessment of Preterm Infants Behaviour scale (APIB) by its factors of movement (MOV) and organization (ORG). A folkloric lullaby, sung and played live with a stringed instrument by a musician, was presented in three stages that were compared to baseline: 1) slow tempo (Adagio), 2) fast tempo (Allegro); and 3) now sung by mother at slow tempo (Adagio). Exploratory analyses showed that all factors increased from baseline to first stage. HR and ORG varied significantly among stages, with HR being the strongest factor. MOV merely detected change from baseline to first stage. ORG decreased for Allegro but increased for maternal Adagio, while HR decreased to near baseline values. ANOVA-repeated measures with gestational age as covariate showed that all measures were sensitive to first music presentation (Adagio), although only HR and ORG differed among stages. Considering estimated marginal means, adjusted for gestational age, HR presented a sensitization pattern throughout stages, but ORG kept habituating to external source and increased to maternal Adagio, suggesting foetal discrimination by sound source. We conclude that foetuses showed different behavioural and physiological responses to external versus internal sound source and musical tempo. The combined use of a behavioural scale (APIB) and HR in foetuses proved to be a valid multidimensional instrument.

Preprint ARTICLE | doi:10.20944/preprints202006.0143.v1

Assessing Impacts of COVID-19 on Aquatic Food System and Small-Scale Fisheries in Bangladesh

Atiqur Rahman Sunny, Sharif Ahmed Sazzad, Gopal Chandra Datta, Ashoke Kumar Sarker, Md. Ashrafuzzaman, Shamsul H. Prodhan

Subject: Biology And Life Sciences, Aquatic Science Keywords: COVID-19; Corona virus; Aquatic food system; Food security; Small-scale fisheries; Bangladesh

Online: 12 June 2020 (08:25:09 CEST)

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Working Paper ARTICLE

Hot Deformation Behavior and Microstructure Evolution of the Dual-Scale SiCp/A356 Composites Based on Optimal Hot Processing Parameters

Yahu Song, Aiqin Wang, Douqin Ma, Jingpei Xie, Zhen Wang, Pei Liu

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: dual-scale SiCp/A356 composites; hot deformation behavior; microstructure; constitutive equation; processing map

Online: 17 May 2020 (08:39:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201906.0036.v1

A Global Seamless DEM Based on Multi-Source Data Fusion (GSDEM-30): Product Generation and Evaluation

Linwei Yue, Huanfeng Shen, Lu Liu, Qiangqiang Yuan, Liangpei Zhang

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: digital elevation models; multi-source fusion; multi-scale fusion; global evaluation; accuracy validation.

Online: 5 June 2019 (10:26:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0331.v1

On the Role of Electric Vehicles towards Low-Carbon Energy Systems: Italy and Germany in Comparison

Sara Bellocchi, Kai Klöckner, Michele Manno, Michel Noussan, Michela Vellini

Subject: Engineering, Energy And Fuel Technology Keywords: large-scale RES; curtailments; electric vehicles; EnergyPLAN; integrated energy systems analysis; CO2 emissions

Online: 28 May 2019 (10:33:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0100.v1

On the Application of Massive MIMO Systems to Machine Type Communications

Felipe A. P. de Figueiredo, Fabbryccio A. C. M. Cardoso, Ingrid Moerman, Gustavo Fraidenraichz

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large-scale antenna systems, 5G networks, machine type communications, channel estimation, linear detection

Online: 10 December 2018 (12:38:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints201806.0424.v4

A Scale-Invariant, Machian Theory of Gravitation and Electrodynamics Unified

Ram Gopal Vishwakarma

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Gravitation - Fundamental Problems and General Formalism; Electrodynamics; Scale Invariance; Mach Principle; Dark Energy

Online: 3 October 2018 (15:35:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1230.v1

Wafer-Scale Characterization of 1692-Pixel-Per-Inch Blue Micro-LED Arrays with an Optimized ITO Layer

Eun-Kyung Chu, Eun Jeong Youn, Hyun Woong Kim, Bum Doo Park, Ho Kun Sung, Hyeong-Ho Park

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: micro-light-emitting diode; indium tin oxide; wafer-scale characterization; high pixel per inch

Online: 20 March 2024 (13:17:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0972.v1

Thermodynamical Metrics in General Relativity Theory

Espen Haug

Subject: Physical Sciences, Theoretical Physics Keywords: Thermodynamics, metrics, General relativity, Hawking temperature, CMB temperature, Planck scale, black holes.

Online: 18 March 2024 (10:34:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0814.v1

Inflammation Indexes PLR, SII, AISI, MLR, NLPR and MCVL in Peripartum Treated Thrombophilia Patients Undergoing Cesarean Section at Term-STROBE Compliant

Catalina Filip, Roxana Covali, Demetra Socolov, Ingrid Andrada Vasilache, Alexandru Carauleanu, Mona Akad, Ioana Sadyie Scripcariu, Tudor Butureanu, Gabriela Dumachita-Sargu, Lucian Vasile Boiculese, Alina Melinte, Razvan Socolov

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: thrombophilia; pregnancy; postpartum uterine ultrasonographic scale; SII; AISI; MLR; PLR; MCVL; NLPR; Rh factor

Online: 14 March 2024 (11:12:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0455.v1

Multidimensional Ethics Scale-30 Revisited: Spanish Adaptation and Development of a Short One-Dimensional Version

Zuleima Santalla-Banderali, Jesús M. Alvarado, José Malavé

Subject: Social Sciences, Behavior Sciences Keywords: Multidimensional Ethics Scale; MES; Spanish short version of MES; construct validity; ethical judgment/evaluation

Online: 7 February 2024 (17:35:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1076.v1

Comparison of Cold Pool Characteristics of Two Distinct Gust Fronts over Bohai Sea Bay in China

Changyi Xu, Xian Xiao

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Gust fronts (GFs); Cold pool; Vertical wind shear; Meso-γ-scale vortices (MVs); VDRAS

Online: 15 January 2024 (04:34:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0209.v1

Inflammation Indexes PLR, SII, AISI, MLR, and MCVL in Peripartum Treated Thrombophilia Peripartum Patients Undergoing Cesarean Section at Term

Catalina Filip, Roxana Covali, Demetra Socolov, Ingrid Andrada Vasilache, Alexandru Carauleanu, Mona Akad, Ioana Sadyie Scripcariu, Tudor Butureanu, Ioana Pavaleanu, Gabriela Dumachita-Sargu, Lucian Vasile Boiculese, Alina Melinte, Razvan Socolov

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: thrombophilia; pregnancy; postpartum uterine ultrasonographic scale; SII; AISI; MLR; PLR; MCVL; Rh factor; age.

Online: 3 November 2023 (05:05:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1577.v1

HRFNet: A Novel Hierarchical Rich-scale Fusion Network for Remote Sensing Semantic Segmentation

Haoxue Zhang, Gang Xie

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: High Resolution; Remote Sensing Image; Convolutional Neural Network; Attention Mechanism; Hierarchical Rich-scale Fusion

Online: 27 October 2023 (12:14:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0395.v1

On the fractional derivative duality in some transforms

Manuel Duarte Ortigueira, Gabriel Bengochea

Subject: Computer Science And Mathematics, Mathematics Keywords: Liouville derivative; scale derivative; Hadamard derivative; Laplace transform; Mellin transform; Z transform; Fourier transform

Online: 9 October 2023 (15:13:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1664.v1

Analysis of Price Influencing Factors of Small-Scale Agricultural Products Based on Network Perspective

Lifang Fu, Huaxu Zhang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: small-scale agricultural products; price affecting factors; text analysis; sentiment analysis; TVP-VAR model

Online: 26 September 2023 (08:16:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1076.v1

Hybrid Post-processing on GEFSv12 Reforecast for Summer Maximum Temperature Ensemble Forecasts on Extended Range Time Scale over Taiwan

Murali Nageswara Rao Malasala, Yuejian Zhu, Vijay Tallapragada, Meng-Shih Chen

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: deep learning; Ensemble Forecast; GEFSv12; extended range time scale; Hybrid Postprocessing; maximum temperature; Taiwan

Online: 18 September 2023 (05:48:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0437.v1

Multidimensional Valuation and Spatial Differentiation of Cultivated Land Resources at the County Scale: A Case Study of Guangxi, China

Zhantu Chen, Li Ren, Ling Xie, Qiong Xiao

Subject: Environmental And Earth Sciences, Geography Keywords: county scale; cultivated land resources value; value equivalent correction method; spatial autocorrelation analysis; Guangxi

Online: 7 September 2023 (04:07:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1758.v1

Research on the Influencing Factors and Countermeasures of Moderate Scale Operation of Tea Farmers' Digital Literacy Improvement Behavior Under the Background of Digital Intelligence Empowerment

Dongkai Lin, Bingsheng Fu, Kexiao Xie, Wanhe Zheng, Linjie Chang, Jinke Lin

Subject: Social Sciences, Behavior Sciences Keywords: digital intelligence empowerment; moderate scale operation of tea farmers; digital literacy; UTAUT theory; improvement

Online: 25 August 2023 (09:19:02 CEST)

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In the context of digital empowerment, the digital literacy level of tea farmers has a significant impact on the intelligent development and transformation of the tea industry. This study extends the original model of UTAUT theory by introducing Personal innovativeness theory and Self-efficacy theory, and constructs a new model to explore the influencing factors of moderate scale tea farmers' digital literacy improvement behavior. There are a total of 22 research hypotheses. Using structural equation modeling and collecting questionnaire data for analysis, the following research results were obtained: (1) Performance expectancy, social influence, effort expectancy, personal innovativeness and self-efficacy all significantly positively affect the willingness of tea farmers to improve their digital literacy, and then according to the path coefficient, in descending order, social influence (0.226)>self-efficacy (0.224)>effort expectancy (0.178)>performance expectancy (0.157)> personal innovativeness (0.155); (2) Facilitating condition and willingness to improve digital literacy have a significant positive impact on tea farmers' digital literacy improvement behavior，and then from the size of the path coefficient, the willingness to improve (0.271)>facilitating condition (0.106); (3) The willingness of tea farmers to improve their digital literacy plays a complete mediating role between personal innovativeness and self-efficacy on their digital literacy improvement behavior, and partially mediates between performance expectancy, social influence, and effort expectancy on their digital literacy improvement behavior, and according to the proportion of indirect effects, the order is effort expectancy (27%), performance expectancy (47%), and social influence (49%); (4) The gender and age of tea farmers have a significant positive moderating effect on the impact of performance expectancy on the willingness to improve digital literacy; age and experience have a significant positive moderating effect on the impact of effort expectancy on the willingness to improve digital literacy; the age of tea farmers has a significant positive moderating effect on the improvement of digital literacy behavior through facilitating condition. This study extends the applicability of the UTAUT theoretical model and proposes strategies to improve the digital literacy of tea farmers, providing practical guidance for tea farmers to improve their digital literacy and providing reference for research related to farmers' digital literacy.

Preprint ARTICLE | doi:10.20944/preprints202306.0285.v1

Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning

Le Gao, Kun Wang, Xin Zhang, Chen Wang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence; Sustainable development; Deep Learning; Mineral Deposit Prediction; Multi-scale Features; Attention Mechanism

Online: 5 June 2023 (09:05:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0131.v1

Adversarial Patch Attack on Multi-Scale Object Detection for Remote Sensing Image

Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Ping Zhong

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Adversarial examples; Remote sensing images; Universal adversarial patch; Object detection; Joint optimization; Scale factor.

Online: 11 October 2022 (02:34:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0376.v1

Large-Scale Printed Chinese Character Recognition for ID Cards Using Deep Learning and Few Samples Transfer Learning

Yi-Quan Li, Hao-Sen Chang, Daw-Tung Lin

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large-Scale Image Classification; Printed Chinese Character Recognition; Data Synthesis; GoogLeNet-GAP; Transfer Learning

Online: 22 December 2021 (16:31:53 CET)

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Preprint REVIEW | doi:10.20944/preprints202009.0548.v1

Metabolic Modelling Approaches for Describing and Engineering Microbial Communities

Beatriz García-Jiménez, Jesús Torres, Juan Nogales

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: genome-scale metabolic model; microbial community; optimization; design; engineering; computational methods; synthetic microbial consortia

Online: 23 September 2020 (09:52:17 CEST)

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Working Paper ARTICLE

Reassessing Dust's Role in Forming the CMB

Fulvio Melia

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: cosmic microwave background; cosmological parameters; cosmology: observations; cosmology: redshift; cosmology: theory; large-scale structure

Online: 14 June 2020 (16:16:26 CEST)

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Working Paper ARTICLE

Period Doubling Phenomenon as the Origin of Electron Properties

Ari Lehto

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: period doubling; electron structure; elementary charge; electron magnetic moment; fine structure constant; Planck scale; Standard Model

Online: 20 August 2020 (04:08:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0302.v1

From Local to Global: A Transfer Learning-Based Approach for Mapping Poplar Plantations at Large Scale

Yousra Hamrouni, Éric Paillassa, Véronique Chéret, Claude Monteil, David Sheeren

Subject: Environmental And Earth Sciences, Environmental Science Keywords: active learning; poplar plantations; spatial transfer; sentinel-2; large scale; image classification; random forest

Online: 17 April 2020 (15:05:54 CEST)

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Reliable estimates of poplar plantations area are not available at the French national scale due to the unsuitability and low update rate of existing forest databases for this short-rotation species. While supervised classification methods have been shown to be highly accurate in mapping forest cover from remotely sensed images, their performance depends to a great extent on the labelled samples used to build the models. In addition to their high acquisition cost, such samples are often scarce and not fully representative of the variability in class distributions. Consequently, when classification models are applied to large areas with high intra-class variance, they generally yield poor accuracies. In this paper, we propose the use of active learning (AL) to efficiently adapt a classifier trained on a source image to spatially distinct target images with minimal labelling effort and without sacrificing classification performance. The adaptation consists in actively adding to the initial local model, new relevant training samples from other areas, in a cascade that iteratively improves the generalisation capabilities of the classifier, leading to a global model tailored to different areas. This active selection relies on uncertainty sampling to directly focus on the most informative pixels for which the algorithm is the least certain of their class labels. Experiments conducted on Sentinel-2 time series showed that when the same number of training samples was used, active learning outperformed passive learning (random sampling) by up to 5% of overall accuracy and up to 12% of class F-score. In addition, and depending on the class considered, the random sampling required up to 50% more samples to achieve the same performance of an active learning-based model. Moreover, the results demonstrate the suitability of the derived global model to accurately map poplar plantations among other tree species with overall accuracy values up to 14% higher than those obtained with local models. The proposed approach paves the way for national-scale mapping in an operational context.

Preprint ARTICLE | doi:10.20944/preprints201806.0266.v1

Improved Collecting Line Current Protection Scheme against Large-scale Wind Generators Tripping off

Wei Jin, Yuping Lu, Tao Huang

Subject: Engineering, Electrical And Electronic Engineering Keywords: Collecting line current protection (CLPC); coordination protection; large-scale WGs trip-off; risk indicator

Online: 18 June 2018 (13:48:38 CEST)

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There have been several cases of large-scale wind generators (WGs) tripping off caused by untimely fault removing in recent years. Currently, the discoordination between the box-type transformer fuse protection (BTFP) and two-section collecting line current protection (CLCP) brings a security risk to wind farm. In order to ensure the selectivity, the first section (Sec-I) CLCP should be set a enough interval that is longer than the fuse melting time, and another interval is set for the Sec-II CLCP, which weakens the speed of the CLCP. When a fault occurs on the collecting line, there is no doubt that WGs cannot work too long in abnormal operation, which may cause WGs to be placed off the grid. For a power system with high penetration of wind power, large-scale WGs tripping off will cause a great power shortage, and affect the stability of the power system. The selectivity and sensitivity of the CLCP is analyzed in detail to make the CLCP speed better. Considering the fault ride-through ability of WGs, the fault clear time is an important factor to lead to large-scale WGs tripping off. Two main works are done in this paper. The first is to accelerate the speed of the Sec-I CLCP though reducing the protection zone. Another one is introduce the risk assessment module into the CLCP, which not only improve the speed of the CLCP but also ensure the safety of the wind farm during faults. According to the deference in trip-off causes of WGs, the matching functions are created to assess the trip-off risk of WGs on the spot. In the case of fault, the trip-off risk indicators of WGs are timely updated to data sharing center and open to the CLCPs. The set of risk indicators is divided into several subsets according to the risk range. The dynamic changes of the subsets during fault help to improved CLCP scheme. This scheme can accelerate protection speed based on the increasing risk of large-scale WGs tripping off in wind farms. Compared with traditional CLCP, this approach can make the CLCP combines selectivity and speed better based on the analysis of the ride- through ability of WGs.

Preprint ARTICLE | doi:10.20944/preprints201802.0006.v1

Adoption of Small-Scale Irrigation Farming as a Climate-Smart Agriculture Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa

Nelson Mango, Clifton Makate, Lulseged Tamene, Powell Mponela, Gift Ndengu

Subject: Social Sciences, Sociology Keywords: climate-smart agriculture; adoption; small-scale irrigation farming; household income; Chinyanja Triangle; Southern Africa

Online: 1 February 2018 (09:33:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201711.0049.v1

Influence of Perceptual Range on Perceived Restoration

Moohan Kim, Jae-Hyuck Lee, Woo-Yeong Joo

Subject: Arts And Humanities, Architecture Keywords: spatial perception; Perceived Restorativeness Scale; urban greening; cognitive mapping; environmental restorative effect; perceptual range

Online: 8 November 2017 (03:11:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints201611.0052.v1

Feature Extraction of Ship Radiated Noise Based on Permutation Entropy of the Intrinsic Mode Function with the Highest Energy

Yu-Xing Li, Ya-An Li, Zhe Chen, Xiao Chen

Subject: Physical Sciences, Acoustics Keywords: empirical mode decomposition; intrinsic mode function; permutation entropy; multi-scale permutation entropy; feature extraction

Online: 9 November 2016 (10:24:35 CET)

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Preprint REVIEW | doi:10.20944/preprints201609.0096.v2

Quantum Cosmology vs. Observational Cosmology (A Simple, Curious and Advanced Approach)

U. V. S. Seshavatharam, S. Lakshminarayana

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: big bang; planck scale Hubble parameter; quantum cosmology; Mach’s principle; holographic principle; observational cosmology; super luminal expansion speed; super luminal rotation speed; dark energy; cosmic rotational kinetic energy; cosmic microwave back

Online: 8 October 2016 (10:26:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1768.v1

Pilot Testing of Useful Tools Validity for Frailty Assessment in Greece: Translated PRISMA-7 Tool, Modified Fried Criteria and Clinical Frailty Scale

George Soulis, Efstathia Kyriakopoulou, Aristea Leventouri, Eleni Zigkiri, Vasiliki Efthymiou, Zikos Kentros, Anastasia Koutsouri

Subject: Public Health And Healthcare, Primary Health Care Keywords: Frailty; Greek Translation of PRISMA-7; Modified Fried criteria; Greek version of Clinical Frailty Scale

Online: 28 March 2024 (12:12:26 CET)

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The importance of frailty in older people is getting constant recognition as an important aspect both in terms of public health, as well in personal level for the appropriate management of an older person health condition. This is reflected by the continuously increasing number of research studies carried out in several settings across different countries. Sometimes this is very solid, but in other cases there is a considerable gap in terms of accurate and well grounded documentation of frailty status. This is the case in Greece, where we are missing clinically validated tools to approach frailty. We are missing frailty screening tools, such as for instance PRISMA 7, the gold standard tool of Fried criteria is somehow problematic since the question referring to physical activity originates from a questionnaire that has not been translated and validated, while Clinical Frailty Scale has been validated for the translation but not for the capacity to detect frailty. Aim of this study is to validate these tools for their accuracy to detect frailty by using a measurable index of frailty, previously proposed for use in clinical studies: the Short Physical Performance Battery (SPPB). 74 male and female participants have been evaluated for their frailty status using different tools. We observed that PRISMA 7 translation detects frailty only when one question is removed at a cut-off of ≥ 2 and indicated a sensitivity of 88.1%, and specificity of 99.9% with a good correlation with SPPB measurements (r = 0.858; p < 0.001). When CFS was validated using SPPB it demonstrated a very good correlation (r = -0.838; p < 0.001 respectively) as it was the case for the modified Fried Criteria (r = -0.725; p < 0.001). All items demonstrated a good correlation between them. We can here propose that we can accurately assess frailty status in the community setting by using a modified version of Fried criteria, Clinical Frailty Scale translation in Greek and we can screen for frailty by using the Greek translation of PRISMA 7 only after removing the item 6 of the questionnaire.

Preprint ARTICLE | doi:10.20944/preprints202403.0136.v1

Integrating Genome-Scale Metabolic Models with Patient Plasma Metabolome to Study Endothelial Metabolism In Situ

Fernando Silva-Lance, Isabel Montejano-Montelongo, Eric Bautista, Lars K. Nielsen, Pär I. Johansson, Igor Marin de Mas

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Metabolic Network Analysis; Genome-Scale Metabolic Models; Exo-Metabolomics Integration; Sampling Algorithms; Endothelial Cell Metabolism

Online: 4 March 2024 (14:02:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1672.v1

Pedestrian Detection in Aerial Image Based on Convolutional Neural Network with Attention Mechanism and Multi-scale Prediction

Jiaxi Yang, Qian Zhang, Yuhang Chen, Sitao Luan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: pedestrian detection; aerial image; attention mechanism; multi-scale prediction; convolutional neural network; new benchmark dataset

Online: 23 January 2024 (09:19:12 CET)

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Pedestrian object detection plays a significant role in intelligent systems such as intelligent traffic and monitoring. Traditional machine learning methods on pedestrian detection have shown various drawbacks, \eg{} low accuracy, slow speed, \etc The Convolutional Neural Network (CNN) based object detection algorithms have demonstrated remarkable advantages in the field of pedestrian detection. However, the mainstream CNNs still face the problems of slow speed and low detection accuracy, especially on small and occluded targets from aerial perspective. In this paper, we propose Multi-Scale Attention YOLO (MSA-YOLO) detection algorithm to address the above issues. MSA-YOLO includes a Squeeze, Excitation and Cross Stage Partial (SECSP) channel attention module for CNNs to extract richer pedestrian features with a small number of extra parameters. It also contains a multi-scale prediction module to capture the information among different pedestrian scales, which can recognize the small objects with higher accuracy and significantly reduce the missed detection. To sufficiently evaluate our proposed model, we manually collect and annotate a new benchmark dataset, Luoyang Pedestrian Dataset \footnote{The dataset can be downloaded through this anonymous link: \url{https://drive.google.com/drive/folders/13po1FX7Qk5RDgb60-dzOi74cq_kqDJtM?usp=sharing} }, which has much more sample annotations, features, scenes and image view angles than the existing benchmark datasets. In addition, the images in our dataset have higher resolution than most of benchmark pedestrian detection datasets, which can provide more detailed features of pedestrians and thus improve the model performance. When tested on Luoyang Pedestrian Dataset, our proposed MSA-YOLO algorithm significantly outperform the most commonly used baseline models with almost the same model size. This shows the efficiency of our proposed model. (The code and new dataset will be released to the public later.)

Preprint ARTICLE | doi:10.20944/preprints202311.1569.v1

Experimental and Numerical Study of the Effect of Carbonate Rock Dissolution on Absolute Permeability of 408 Heterogeneous and Naturally Fractured Samples

Zhibek K. Akasheva, Bakytzhan K. Assilbekov, Darezhat A. Bolysbek, Berik A. Iskakov, Kenbai Sh. Uzbekaliyev, Gani I. Issayev

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Absolute permeability; pore-scale modeling; percolation threshold porosity; dissolution; power law; X-ray microcomputed tomography

Online: 24 November 2023 (11:27:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1702.v1

Research on the Shock Environment Characteristics of Marine Diesel Engine Based on a Large Floating Impact Platform

Yu Zhang, Jun Li, Chun hui Zhang, Wei Chen, Zhi peng Du, Xiao bin Li

Subject: Engineering, Marine Engineering Keywords: large-scale floating shock platform (LFSP); shock environments; underwater explosion; marine diesel engines; shock spectra

Online: 26 October 2023 (11:40:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1180.v1

Piloting Bioethanol Production from Source-Separated Food Waste Boosts TRL

Fotis Chatzimaliakas, Diogenis Christianides, Dimitris Malamis, Sofia Mai, Elli Maria P. Barampouti

Subject: Environmental And Earth Sciences, Waste Management And Disposal Keywords: Source-separated kitchen waste; Simultaneous saccharification and fermentation; Bioethanol yield; Pilot-Scale; Fresh food waste

Online: 22 October 2023 (09:05:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0774.v1

Comparative Study of Two Commercial Brain Volumetry Software: Assessing Medial Temporal Lobe Atrophy

Jimin Kim, Se Won Oh, Jee-Young Kim, Regina EY Kim, Donghyeon Kim

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Alzheimer’s disease; volumetry software; MRI; medial temporal lobe atrophy; Scheltens’ scale; NeuroQuant®; Aqua®

Online: 12 October 2023 (05:35:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0329.v1

Marine Cultural Target Detection for Underwater Robotics Based on Deep Aggregation Network with Deformation Convolution

Yutuo Yang, Wei Liang, Daoxian Zhou, Yinlong Zhang, Gaofei Xu

Subject: Computer Science And Mathematics, Robotics Keywords: autonomous underwater vehicle (AUV); underwater target detection; deformable convolution; multi-scale deep aggregation; attention mechanism

Online: 6 October 2023 (11:51:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1174.v1

ENN: Hierarchical Image Classification Ensemble Neural Network for Large-Scale Automated Detection of Potential Design Infringement

Chan Jae Lee, Seong Ho Jeong, Young Yoon

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Design Right Infringement; Deep Learning; Ensemble Learning; Image Classification; Object Detection; Large-Scale Detection System

Online: 19 September 2023 (03:03:46 CEST)

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This paper presents a two-stage hierarchical neural network using image classification and object detection algorithms as key building blocks for a system that automatically detects a potential design right infringement. This neural network is trained to return the Top-N original design right records that highly resemble the input image of a counterfeit. Design rights specify the unique aesthetic characteristics of a product. Due to the rapid change of trends, new design rights are continuously generated. This work proposes an Ensemble Neural Network (ENN), an artificial neural network model that aims to deal with a large amount of counterfeit data and design right records that are frequently added and deleted. At first, we performed image classification and objection detection learning per design right using the existing models with a proven track record of high accuracy. The distributed models form the backbone of the ENN and yield intermediate results aggregated at a master neural network. This master neural network is a deep residual network paired with a fully connected network. This ensemble layer is trained to determine the sub-models that return the best result for a given input image of a product. In the final stage, the ENN model multiples the inferred similarity coefficients to the weighted input vectors produced by the individual sub-models to assess the similarity between the test input image and the existing product design rights to see any sign of violation. Given 84 design rights and the sample product images taken meticulously under various conditions, our ENN model achieved average Top-1 and Top-3 accuracies of 98.409% and 99.460%, respectively. Upon introducing new design rights data, a partial update of the inference model was done an order of magnitude faster than the single model. ENN maintained a high level of accuracy as it scaled out to handle more design rights. Therefore, the ENN model is expected to offer practical help to the inspectors in the field, such as the customs at the border that deal with a swarm of products.

Preprint ARTICLE | doi:10.20944/preprints202309.0676.v1

Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and SSA-LSTM

Hongju Wang, Xi Zhang, Mingming Ren, Tianhao Xu, Chengkai Lu, Zicheng Zhao

Subject: Engineering, Mechanical Engineering Keywords: remaining useful life; maximum correlation kurtosis deconvolution; multi-scale permutation entropy; long short-term memory

Online: 11 September 2023 (11:30:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0762.v1

Burden of Care of Family Caregivers for People Diagnosed with Serious Mental Disorders in a Rural Health District in Kwa-Zulu-Natal, South Africa

Jabulile Thembelihle Ndlovu, Kebogile Elizabeth Mokwena

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Zarit Burden Interview scale; burden of care; home care giving; severe mental illness; rural setting

Online: 10 August 2023 (05:32:21 CEST)

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Jabulile Ndlovu1 and Kebogile Mokwena1, 2 1 Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa 2 Research Chair in Substance abuse and population Mental Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa Corresponding author: jabulilendlovu5@gmail.com Abstract An estimated 6% of the world population has serious mental illness, with one in four families having a member with some form of psychiatric disorder, who are mostly cared for by their relatives within a family setting. Although caregiving in a home setting is reported to be associated with significant mental distress, the burden of such distress is rarely measured. The purpose of this study was to quantify the burden of care among family caregivers of relatives with serious mental disorders, as well as to explore possible association between the caregiver burden of care and a range of caregiver and Mental Health Care User (MHCU) variables in a rural district in Kwa-Zulu Natal, South Africa. The Zarit Burden Interview (ZBI) scale was used to collect data from 357 caregivers, and STATA 14 was used to analyze data. The ages of the sample ranged from 18 to 65, with a mean of 50.29, and the majority (86%) were female and unemployed (83%). The ZBI scores ranged from 8 to 85, with a mean of 41.59. The majority (91%) tested positive for caregiver burden of care, which ranged from mild to severe. Using the Pearson Chi-square test of association (p=0.05), variables that were significantly associated with the burden of care were clinically related (caregiver self-reported depression, MHCU diagnosis, recent relapse of the MHCU), socio-economic (caregiver family monthly income, MHCU disability grant status and MHCU employment status) and socio-demographic (MHCU gender and MHCU level of education). The prevalence of burden of care is high and severe, and scarcity of resources in families and communities contribute to the high burden of care in these rural communities.

Preprint ARTICLE | doi:10.20944/preprints202307.0346.v1

Characterisation of the Contact between Cross-Country Skis and Snow: On the Multi-Scale Interaction between Ski Geometry and Ski-Base~Texture

Kalle Kalliorinne, Gustav Hindér, Joakim Sandberg, Roland Larsson, Hans-Christer Holmberg, Andreas Almqvist

Subject: Engineering, Mechanical Engineering Keywords: Cross-Country Skiing; Sports Equipment; Multi-Scale; Contact Mechanics; Ski-Camber Profile; Ski-Base Texture

Online: 5 July 2023 (15:37:49 CEST)

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At the highest level of endurance sports, the differences in finishing times are small, so equipment is constantly being constantly improved to enhance the athletes' performance. For instance, one dominant resistive force in connection with cross-country skiing is the friction between the skis and snow and since the 1930s, research designed to understand and reduce this friction has been ongoing. The mechanisms involved in ski-snow friction include compaction, micro-ploughing, adhesion, viscosity, and water-bridging. Of these, adhesive and viscous friction have been most studied, while much less is presently known about compaction, micro-ploughing, and water-bridging. At the macro-scale, the ski-camber profile plays a key role in determining whether, with respect to friction, a particular cross-country ski is suitable for use under a given set of conditions. Through its influence on where ski-snow contact occurs, this ski-camber profile has a profound impact on adhesive and viscous friction, micro-ploughing, the formation of water bridges, and the rate of compaction. Different contact zones with different apparent areas of contact and pressure have been found to be most suitable for different conditions. In addition, the micro-scale texture of the ski base is also an important determinant of ski-snow friction. Topographical measurements of this texture can be achieved with white-light interferometer and recent characterisation has focused on the mechanical properties of contact. In numerous tribological studies the interactions between features at different scales are modelled. In most tribological systems, features on several scales influence friction and ski-snow contact is certainly no exception. Accordingly, the current investigation was designed to evaluate the multi-scale properties of different combinations of two skis with two different base textures. The real area of contact and the average interfacial separation and total average reciprocal interfacial separation between the ski and snow were taken into consideration. We found that different macro- and micro-scale properties of the ski favour different mechanisms of friction. Both the profile of the ski camber and texture of the base play decisive roles in determining viscous friction. At the same time, the texture of the ski base exerts a greater impact on the average real contact pressure, real contact area and minimal average interfacial separation between the ski and snow than does the ski-camber profile.

Preprint ARTICLE | doi:10.20944/preprints202306.0780.v1

A Lightweight Detection Algorithm for Unmanned Surface Vehicles Based on Multi-Scale Feature Fusion

Lei Zhang, Xiang DU, Renran Zhang, Jian Zhang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: unmanned surface vehicle; multi-scale feature; lightweight detection algorithm; dynamic head; coordinate convolution; YOLOv7-tiny

Online: 12 June 2023 (07:09:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0536.v1

Wave Behavior Characteristics of Elastically Supported Fluid-Conveying Carbon Nanotubes under the Influence of Magnetic Fields

Qian Deng, Ming Li, Liufei Lv

Subject: Physical Sciences, Other Keywords: Fluid conveying carbon nanotubes; Timoshenko beams; Small-scale effects; Magnetic flux; Non-local strain gradients

Online: 7 June 2023 (10:39:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0094.v1

Sustainable Metabolic Engineering Design Development Employing a Complex Objective Function

Reinis Muiznieks, Elina Dace, Egils Stalidzans

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: economic sustainability; environmental sustainability; social sustainability; genome scale metabolic model; metabolic engineering; growth coupled production

Online: 3 May 2023 (04:32:50 CEST)

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Working Paper REVIEW

Machine Learning of Spatial Data

Behnam Nikparvar, Jean-Claude Thill

Subject: Social Sciences, Geography, Planning And Development Keywords: spatial machine learning; spatial dependence; spatial heterogeneity; scale; spatial observation matrix; learning algorithm; deep learning

Online: 6 August 2021 (14:18:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0569.v1

Effects of Clinical Characteristics on Sleep Quality in Patients with Chronic Temporomandibular Disorders

Yeon-Hee Lee, Q-Schick Auh, Jung-Sub An, Tae Kim

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: Sleep quality; Chronic pain; Temporomandibular disorder; Pittsburgh Sleep Quality Index; STOP-Bang; Epworth Sleepiness Scale

Online: 23 June 2021 (11:11:14 CEST)

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Objectives: This study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods: Chronic temporomandibular disorder patients (n=503) and 180 age- and sex-matched healthy controls were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results: Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25±2.77) than in healthy controls (6.25±2.77) (p<0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p<0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea. (STOP-Bang total score ≥3; 7.2% vs. 16.1%; p<0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥10; 12.8% vs. 19.7%; p<0.05). Age (odds ratio=2.551; p<0.001), female sex (odds ratio=1.885; p=0.007), total Epworth sleepiness scale score (odds ratio=1.839; p=0.014), and headache attributed to temporomandibular disorder (odds ratio=1.519; p=0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥5) in chronic temporomandibular disorder patients. Conclusion: Chronic temporomandibular disorder patients had sleep quality impairment. Various factors, including peripheral and central factors, affect the patient's sleep quality. Therefore, in addition to sleep quality and sleep-related problems, the underlying central mechanism for poor sleep quality should be assessed when treating chronic temporomandibular disorder patients.

Preprint ARTICLE | doi:10.20944/preprints202105.0282.v2

Design Optimization of Centrifugal Microfluidic "Lab-on-a-Disc" Systems towards Fluidic Larger-Scale Integration

Jens Ducrée

Subject: Computer Science And Mathematics, Software Keywords: centrifugal microfluidics, Lab-on-a-Disc, large-scale integration, reliability, tolerances, band width, packing density

Online: 8 June 2021 (12:07:35 CEST)

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Working Paper ARTICLE

Single Image Rain Removal Based on Multi-Scale and Channel Attention Mechanism

Qiuling Liu, Gang Zhou, Zhenhong Jia

Subject: Computer Science And Mathematics, Computer Science Keywords: Single image deraining; Multi-layer Laplacian pyramid; Multi-scale feature extraction module; Channel attention module.

Online: 31 May 2021 (11:41:25 CEST)

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Working Paper ARTICLE

A New 3D Geological Modeling Method Based On Remote Sensing and Its Application in Ya 'an Area Sichuan Province

Zhaoyang Ma, Lihai Zhang, Yan Wang, Guifan Zhu, Yinping Liang

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Multi-source heterogeneity; remote sensing; large-scale high-precision modeling; grid division; geostatistics; spatial interpolation

Online: 20 January 2021 (16:19:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0409.v1

Personalized Biometrics of Physical Pain Agree with Its Psychological Perception by Participants with Sensory Over Responsivity

Jihye Ryu, Tami Bar-Shalita, Yelena Granovsky, Irit Weissman-Fogel, Elizabeth B. Torres

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: EEG; pain biometrics; stochastic analyses; micro-movements spikes; sensory over responsivity; standardized scale; personalized pain

Online: 16 December 2020 (13:19:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0298.v2

Cosmic Ray Extremely Distributed Observatory

Piotr Homola, Dmitriy Beznosko, Gopal Bhatta, Łukasz Bibrzycki, Łukasz Bratek, Michalina Borczyńska, Nikolay M. Budnev, Dariusz Burakowski, David Edwin Alvarez-Castillo, Kevin Almeida Cheminant, Aleksander Ćwikła, Punsiri Dam-o, Niraj Dhital, Alan Duffy, Piotr Głownia, Krzysztof Gorzkiewicz, Dariusz Góra, Alok C. Gupta, Zuzana Hlávková, Martin Homola, Joanna Jałocha, Robert Kamiński, Michał Karbowiak, Marcin Kasztelan, Renata Kierepko, Marek Knap, Péter Kovács, Szymon Kuliński, Bartosz Łozowski, Marek Magryś, Mikhail V. Medvedev, Justyna Mędrala, Jerzy W. Mietelski, Justyna Miszczyk, Alona Mozgova, Antonio Napolitano, Vahab Nazari, Y. Jack Ng, Michał Niedźwiecki, Cristina Oancea, Bogusław Ogan, Gabriela Opiła, Krzysztof Oziomek, Maciej Pawlik, Marcin Piekarczyk, Bożena Poncyljusz, Jerzy Pryga, Matías Rosas, Krzysztof Rzecki, Jilberto Zamora-Saa, Katarzyna Smelcerz, Karel Smolek, Weronika Stanek, Jarosław Stasielak, Slawomir Stuglik, Jolanta Sulma, Oleksandr Sushchov, Manana Svanidze, Kyle Tam, Arman Tursunov, José-M. Vaquero, Tadeusz Wibig, Krzysztof W. Woźniak

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: cosmic rays; cosmic ray ensembles; extensive air showers; large scale cosmic ray correlations; CREDO Collaboration

Online: 15 October 2020 (16:13:43 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202005.0287.v1

The Impacts of COVID-19 to Small Scale Fisheries in Tun Mustapha Park, Sabah, Malaysia; What Do We Know So Far?

Joannie Jomitol, Adam J. Payne, Sarmalin Sakirun, Mohd. Omar Bural

Subject: Biology And Life Sciences, Aquatic Science Keywords: COVID-19; small scale fisheries; artisarnal fishers; coastal communities; marine protected area; Malaysia; fisheries; impacts

Online: 17 May 2020 (08:46:10 CEST)

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Working Paper ARTICLE

Effect of Interlayer Cooling Time, Constraint and Tool Path Strategy on Deformation of Large Components made by Laser Metal Deposition with Wire

Yousub Lee, Yashwanth Bandari, Peeyush Nandwana, Brian Gibson, Brad Richardson, Srdjan Simunovic

Subject: Engineering, Mechanical Engineering Keywords: large-scale additive manufacturing; interlayer cooling time; tool path optimization; part deformation; Ti-6Al-4V

Online: 10 November 2019 (09:04:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0010.v1

The Effect of Propeller Scaling Methodology on the Performance Prediction

Stephan Helma, Heinrich Streckwall, Jan Richter

Subject: Engineering, Marine Engineering Keywords: propeller scale effects; propeller open-water efficiency; surface roughness; equivalent profile; strip method; betai method

Online: 1 March 2018 (15:58:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1531.v1

An Evaluation of the Primary Causative Factors Affecting Durability of Flow Diversion Simple Weirs in Muchinga Province in Zambia

Alex Lushikanda KABWE, Masahiro HYODO, Hidehiko OGATA, Yoshihiro Sagawa, Yoshinao ADACHI, Masayuki ISHII

Subject: Other, Engineering Keywords: farmer-led small-scale irrigation; operation and maintenance; catchment characteristics; durability assessment; local material; farmer perception

Online: 23 April 2024 (17:59:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1419.v1

Gaining Insight Into Teenagers' Experiences of Pain After Laparoscopic Surgeries; A Prospective Study

Mihaela Visoiu, Jacques E. Chelly, Senthilkumar Sadhasivam

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: Teenager Postoperative Pain; Visual Analog Pain Scale; Pain Behaviour; Pain Catastrophizing Thoughts; Anxiety; Mood; Laparoscopic Surgeries

Online: 26 February 2024 (11:41:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0371.v1

Is Entropy a Force of Nature?

Martin Johnson

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: dark energy
cosmic background radiation
dark ages
large-scale structure of the Universe

Online: 7 February 2024 (03:37:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0137.v1

Observational Constraints and Future of the Universe with Dynamic Dark Energy

Florian Neukart

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Hubble tension; Cosmic Microwave Background; Large-scale structures; Dark energy constraints; Future cosmological observations

Online: 3 January 2024 (04:20:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1856.v1

Effects of Anthropogenic Activities on Sardinella maderensis (Lowe, 1838) Fisheries in Coastal Communities of Ibeju-Lekki, Lagos, Nigeria

Temitope Adewale, Denis Aheto, Isaac Okyere, Olufemi Soyinka, Samuel Dekolo

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Small-scale fisheries; anthropogenic threats; Sardinella maderensis; land use change; Nigeria; remote sensing; pollution

Online: 29 November 2023 (06:32:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0416.v2

Implementation of Simulation Modeling of Single and High‐Volume Machine‐Building Productions

Tatyana Nikonova, Nadezhda Savelyeva, Gulnara Zhetessova, Vassiliy Yurchenko, Olegas Černašėjus, Olga Zharkevich, Essim Dandybaev, Andrey Berg, Sergey Vassenkin, Murat Baimuldin

Subject: Engineering, Mechanical Engineering Keywords: technological preparation of production; automation of production processes; small-scale production; single production; machine-building enterprises

Online: 28 November 2023 (17:01:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0401.v1

Influence of Comorbidities on Chronic Obstructive Pulmonary Disease (COPD) Outcomes: Risk Prediction of Acute Exacerbations Using the Cumulative Illness Rating Scale (Cirs)

Domenico Di Raimondo, Edoardo Pirera, Chiara Pintus, Riccardo De Rosa, Martina Profita, Gaia Musiari, Gherardo Siscaro, Antonino Tuttolomondo

Subject: Biology And Life Sciences, Aging Keywords: Comorbidity; Multimorbidity; Chronic Obstructive Pulmonary Disease; COPD; Cumulative Illness Rating Scale; acute exacerbation of COPD (AECOPD)

Online: 7 November 2023 (10:33:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0299.v1

Using Ensemble Convolutional Neural Network to Detect Deepfakes Using Periocular Data

David Johnson, Xiaohonh Yuan, Kaushik Roy

Subject: Computer Science And Mathematics, Computer Science Keywords: deepfake detection; CNN; deep neural network; computer vision; scale invariant feature transform; histogram of oriented gradients

Online: 17 February 2023 (06:51:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0095.v1

Solar System-Like Systems with Special Reference to Relativistic Quantum Mechanics and Weak Gravitational Field

Peter Gara

Subject: Physical Sciences, Quantum Science And Technology Keywords: Solar system-like systems; Relativistic Quantum Mechanics; Weak Gravity; Proper Time Scale of the Solar System

Online: 4 November 2022 (13:42:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0277.v2

Research on Mechanical Braking Model of Cows Knee Joint

Meng Liu, Kexin Meng, Shuli Mei, Ruyi Xing

Subject: Physical Sciences, Mathematical Physics Keywords: Dairy cow; Lyapunov exponent; bio-mechanical model; Nonlinear dynamics; gait; Weight scale; Three-link model; Fractals

Online: 24 February 2022 (09:57:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0389.v1

Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification

Pei Zhang, Guoliang Fan, Chanyue Wu, Dong Wang, Ying Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: remote-sensing classification; scene classification; few-shot learning; meta-learning; vision transformers; multi-scale feature fusion

Online: 18 August 2021 (14:29:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0235.v1

Sensitivity of Stomate Size in Red Maple (Acer rubrum L.) Trees in Deciduous Forests to Urban Conditions

Covel R. McDermot, Vince D'Amico, Tara Trammell

Subject: Environmental And Earth Sciences, Environmental Science Keywords: abiotic stress; metro-scale; physiological acclimation; urban leaf morphology; red maple trees; stomate size; urban forests

Online: 15 April 2020 (09:32:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0117.v1

An Accelerating and Rotating Planck-Hubble Universe (A Very Simple Model of Quantum Cosmology)

U. V. S. Seshavatharam, S. Lakshminarayana

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: planck scale; quantum cosmology; critical density; ordinary matter; dark matter; expansion velocity; angular velocity; Hubble’s law;

Online: 11 March 2019 (08:01:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints201901.0236.v1

Hybrid 3D Models: When Geomatics Innovations Meet Extensive Built Heritage Complexes

Filiberto Chiabrando, Giulia Sammartano, Antonia Spanò, Alessandra Spreafico

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: 3D models; multi-sensor; multi-scale; SLAM; MMS; LiDAR; UAV; data integration; data fusion; cultural heritage

Online: 23 January 2019 (10:08:42 CET)

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Preprint REVIEW | doi:10.20944/preprints201810.0329.v1

Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-grained Simulations and Elastic Network Models

Sebastian Kmiecik, Maksim Kouza, Aleksandra Elzbieta Badaczewska-Dawid, Andrzej Kloczkowski, Andrzej Kolinski

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: protein dynamics; coarse-grained simulation; Monte-Carlo dynamics; structural flexibility; large-scale dynamics; elastic network model;

Online: 15 October 2018 (17:10:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0175.v1

Antineutrino Star Model of the Big Bang and Dark Energy

Tom F. Neiser

Subject: Physical Sciences, Particle And Field Physics Keywords: cosmology: theory; gravitation; early universe; dark energy; large-scale structure of universe; cosmic background radiation; neutrinos

Online: 12 June 2018 (08:43:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0258.v2

Revisiting the Derivation of Heisenberg's Uncertainty Principle: The Collapse of Uncertainty at the Planck Scale

Espen Haug

Subject: Physical Sciences, Thermodynamics Keywords: Heisenberg's uncertainty principle; certainty; wave function; Planck scale; Planck mass; Planck particle; Bell's Inequality; superposition; entropy; Compton clock

Online: 5 September 2018 (09:34:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0046.v1

Small Scale Hydroelectric Power Plants in Norway. Some Microeconomic and Environmental Considerations

Johannes Idsø

Subject: Business, Economics And Management, Economics Keywords: small scale hydroelectric power; neumann-mortenstern utility theory; environmental effects of hydro power; hydropower and risk

Online: 5 May 2017 (05:32:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0241.v1

Indirect Model Predictive Control on Epidemiological Stochastic Blockmodels

Jonas Hjulstad, Morten Hovd

Subject: Control And Systems Engineering, Engineering Keywords: identification for control; optimization and control of large-scale network systems; Monte Carlo methods; high performance computing

Online: 6 May 2024 (07:49:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1842.v1

A Novel Five-Surface Phosphor-in-Ceramic for High Illumination and Excellent Color Uniformity in Larger Scale LEDs

Hong-Wei Huang, Chien-Wei Huang, Yi-Chian Chen, Hsing-Kun Shih, Wei-Chih Cheng, Chun-Nien Liu, Chia-Chin Chiang, Wood-Hi Cheng

Subject: Electrical And Electronic Engineering, Engineering Keywords: five-surface phosphor layer; phosphor-in-ceramic; laser engraving process; chip scale package; white light-emitting diode

Online: 28 April 2024 (10:17:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1385.v1

Land Management Scale and Carbon Balance Ratio: Spatial Spillover Effects and Threshold Characteristics

Wenjin Wu, Yaping Chen, Yule Gu, Anqi Guo, Hao Wang, Jun Guan

Subject: Economics, Business, Economics And Management Keywords: land management scale; net carbon effect; carbon balance ratio; net carbon sink; spatial spillover effect; threshold characteristics

Online: 22 April 2024 (10:16:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1051.v9

Energy Renormalization in a Berry Geometrical Phase: Low-Energy Perturbations of the Strong Interaction and the QCD Mass Gap

Mark Gibbons

Subject: Physical Sciences, Particle And Field Physics Keywords: Berry geometrical phase; dual superconductivity; scale- and gauge-invariance; hyperbolic curvature; strong gravity; renormalization; QCD mass gap

Online: 18 April 2024 (14:04:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1812.v1

Scale Invariant Parity Doublet Model: Interplay between the Vector Mesons and the Dilatons /Parity Doubling in Dense Baryonic Matter as an Emergent Symmetry and Pseudo-Conformal Model

Hyun Kyu Lee

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: scale invariance; parity doubling; pseudo-conformal phase; vector meson-dilaton interplay; compact star matter; speed of sound

Online: 29 March 2024 (09:57:46 CET)

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The star matter composed of nucleons deep inside the compact star like a neutron star is believed to be very dense and various new types of concepts and physical phenomena due to the nontrivial strong correlations are naturally expected. Peudo-conformality in dense star matter has been discussed recently assuming the hidden underlying scale symmetry, which is partly supported by the recent discussions of infrared conformal window of QCD. It is found that the appearance of dilaton and the dilatonic mean field calculation of nucleonic matter lead to the density independent nucleon mass at higher density regime than normal nuclear matter density. Non-vanishing constant nucleon mass can be considered as a chiral invariant mass of the parity doublet model, in which the chiral symmetry is manifested even in the massive nucleon sector provided with a parity doubling. In this paper we will discuss how the chiral and scale symmetry are correlated to lead the parity doublet symmetry inside the core of the compact star. A simple schematic model is adopted. The star matter at T=0 is basically composed of the nucleons. As a first approximation, they can be treated as free fermions with the effective mass filled up to fermi surface. There is a nontrivial feature due to the interplay between vector meson and nucleon(or equivalently dilaton, χ). The trace of energy momentum tensor approaches density independent, the pseudo-conformal phase. Local fluctuations inside the star matter will be travelling with the speed of sound which depends on the equation of state. In the pseudo-conformal phase, the speed of sound approaches to the conformal velocity for the scale symmetric matter, vc=13c. The excitations of the parity doublets in the compact star matter as an emerging phenomena in pseudo-conformal phase will be discussed in connection to the chiral symmetry. The possible implication on the corespondence of hadrons to quark degrees of freedom will be briefly discussed.

Preprint REVIEW | doi:10.20944/preprints202401.0789.v1

Microbiome Modeling: A Beginner’s Guide

Emanuel Lange, Lena Kranert, Jacob Krüger, Dirk Benndorf, Robert Heyer

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: systems microbiology; microbial ecology; omics data integration; metaproteomics; genome-scale modeling; constraint-based modeling; boolean modeling, bioinformatics

Online: 10 January 2024 (09:57:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0642.v1

PointBLIP: Zero-Training Point Cloud Classification Network Based on BLIP-2 Model

Yunzhe Xiao, Yong Dou, Shaowu Yang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: point cloud classification; zero-training; large-scale vision-and-language model; zero-shot classification; few-shot classification

Online: 8 January 2024 (17:03:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2201.v1

Radargrammetric 3D Imaging through Composite Registration Method Using Multi-Aspect SAR Imagery

Yangao Luo, Yunkai Deng, Wei Xiang, Heng Zhang, Congrui Yang, Longxiang Wang

Subject: Engineering, Electrical And Electronic Engineering Keywords: radargrammetry; synthetic aperture radar (SAR); multi-aspect SAR imagery; SAR image registration; scale invariant feature transform (SIFT)

Online: 28 December 2023 (14:55:26 CET)

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Interferometric synthetic aperture radar (InSAR) and tomographic SAR measurement techniques are commonly used for the three-dimensional (3D) reconstruction of complex areas, while the effectiveness of these methods relies on the interferometric coherence among SAR images with minimal angular disparities. Radargrammetry exploits stereo image matching to determine the spatial coordinates of corresponding points in two SAR images, and acquire their 3D properties. The performance of the image matching process directly impacts the quality of the resulting digital surface model (DSM). However, the presence of speckle noise, along with dissimilar geometric and radiometric distortions, poses considerable challenges to achieve accurate stereo SAR image matching. To address the aforementioned challenges, this paper proposes a radargrammetric method based on composite registration of multi-aspect SAR images. The proposed method combines coarse registration using scale invariant feature transform (SIFT) with precise registration using normalized cross-correlation (NCC) to achieve accurate registration between multi-aspect SAR images with large disparities. Furthermore, the multi-aspect 3D point clouds are merged by the proposed radargrammetric 3D imaging method, resulting in 3D imaging of target scenes based on multi-aspect SAR images. For validation purpose, this paper presents a comprehensive 3D reconstruction of the Five-hundred-meter Aperture Spherical radio Telescope (FAST) by using Ka-band airborne SAR images. It does not necessitate prior knowledge of the target and is applicable to the detailed 3D imaging of large-scale areas with complex structures. In comparison to other SAR 3D imaging techniques, it reduces the requirements for orbit control and radar system parameters. To sum up, the proposed 3D imaging method with composite registration guarantees imaging efficiency while enhances the imaging accuracy of crucial areas with limited data.

Preprint ARTICLE | doi:10.20944/preprints202312.0443.v1

Ranking of Independent Small Scale Electricity Generation

Janis Kramens, Megija Valtere, Guntars Krigers, Vladimirs Kirsanovs, Dagnija Blumberga

Subject: Engineering, Energy And Fuel Technology Keywords: Fuel cell; Multi-Criteria Decision Analysis (MCDA); Renewable energy systems; Sensitivity analysis; Small scale systems; Stirling engine

Online: 7 December 2023 (09:08:12 CET)

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