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Preprint ARTICLE | doi:10.20944/preprints202407.2344.v1

Pre-Dam Vltava River Valley—A Case Study of 3D Visualization of Large-scale GIS Datasets in Unreal Engine

Michal Janovský

Subject: Environmental And Earth Sciences, Geography Keywords: Game engine; Unreal Engine; large-scale landscape visualization; GIS data; procedural modeling; CityEngine; Vitruvio

Online: 29 July 2024 (16:09:12 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/preprints202302.0355.v2

Developing a Scale for Youth Extremism Across Arab Cultures

Diab M. Al-Badaynah, Rami Al-Assasfeh, Siddik Ekici

Subject: Environmental And Earth Sciences, Geography Keywords: Scale; youth violent extremism; Arab countries; exclusion; intolerance; rigidity; social pessimism; grievances; violence; jihad

Online: 10 April 2023 (09:43:21 CEST)

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The purpose of this study was to examine the problem of violent extremism among young people. Additionally, a youth violent extremism scale (YVES) was developed that takes into account the differences between and within Arab cultures. The goal was to produce a scale that could be used and tested within an Arab country or between Arab countries. The scale was developed in three stages: generation, refinement, and validation. A literature review and nomological network were utilized to show the scale's dimensions, correlations to those dimensions, and other relevant variables (such as the LSC, LSE, and criminality scale). A sample of 6726 young students from fifteen Arab countries and the authorities involved were selected. Findings showed that six factors were obtained through principal component factor analysis using Varimax and Kaiser normalization (29 items). A significant positive association was found (r=.651, p = 0.000), supporting the scale's validity. Using Cronbach's alpha, the scale reliability was strong and assessed at 0.98. The scale's construct validity was estimated by assessing the correlation between the Youth Violent Extremism scale and low self-control. A significant positive correlation (r=.651, p = 0.000) indicates the scale's validity. Findings showed significant differences between males and females in youth violent extremism (F = 13.678, α ≤0.000). Descriptive results showed, however, that females have a slightly higher mean of violent extremism than males (M =85.2 vs. 87.6), with a close variation (26 vs. 27) for males and females, respectively. In this study, a measurement tool was provided that can be used as a knowledge base for security strategies. The scale can be applied to identify legal, social, and educational policies and applications of violent extremism. Future research is needed to test the scale on different professions like teachers, police officers, and parents. Also, a need to test the scale on different age groups, settings, and cultures. A need for atheoretical and empirical framework for understanding and preventing youth violent extremism through promoting a more cohesive and resilient youth society.

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/preprints202208.0550.v1

Validation of the Malay Version of the Shame and Stigma Scale among Cancer Patients in Malaysia

Zheng Zhang, Nizuwan Azman, Hui Ting Eyu, Nik Ruzyanei Nik Jaafar, Hajar Mohd Salleh Sahimi, Mohd Razif Mohamad Yunus, Noorsuzana Mohd Shariff, Rohayu Hami, Nor Shuhada Mansor, Ping Lu, Mohammad Farris Iman Leong Bin Abdullah

Subject: Social Sciences, Behavior Sciences Keywords: stigma; cancer patients; Malaysia; Malay version of the Shame and Stigma Scale; reliability; validity

Online: 31 August 2022 (15:49:35 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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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/preprints202409.0008.v1

The Drastic Turn in Neurology: From Classical Disciplines to Neurogenetics

Richard Murdoch Montgomery

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Neurology; Neurogenetics; Genetic Technologies; Next-Generation Sequencing (NGS); Genome-Wide Association Studies (GWAS); Epigenetics; Personalized Medicine

Online: 2 September 2024 (08:44:44 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1236.v1

Plant Viruses: A Historical and Scientific Exploration

Shobith Suresh

Subject: Biology And Life Sciences, Virology Keywords: Plant Virus; History; transmission; genome; Detection; biological era; biophysical era; molecular genetics era; viral diagnostics era

Online: 20 May 2024 (12:40:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.0255.v2

Environmental Risk Assessment Scenarios of Specific NGT Applications in Brassicaceae Oilseed Plants

Franziska Koller, Michael Cieslak, Andreas Bauer-Panskus

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: new genomic techniques (NGT); genetically engineered organisms; genome editing; risk assessment; unintended effects in NGT plants

Online: 6 February 2024 (13:40:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0223.v1

Sequence and Biochemical Analysis of Vaccinia Virus A32 Protein: Implications for In Vitro Stability and Coiled-Coil Motif Mediated Regulation of the DNA-Dependent ATPase Activity

Uma Ramakrishnan, Tanvi Aggarwal, Kiran Kondabagil

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Genome packaging ATPase; vaccinia virus; coiled coil motif; FtsK/HerA superfamily; Nucleo-cytoplasmic large DNA viruses

Online: 5 February 2024 (07:48:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1020.v1

Listeria monocytogenes ST37 Distribution in Russia and Properties of the Clinical and Food-Born Isolates

Olga L. Voronina, Marina S. Kunda, Natalia N. Ryzhova, Ekaterina I. Aksenova, Margarita A. Kustova, Tatyana I. Karpova, Alina R Melkumyan, Elena A. Klimova, Olga A. Gruzdeva, Igor S. Tartakovsky

Subject: Biology And Life Sciences, Life Sciences Keywords: Listeria monocytogenes; food-born pathogen; invasive listeriosis; cgMLST; whole genome sequencing; prophages; virulence factors; COVID-19.

Online: 14 September 2023 (14:51:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0241.v1

Integrating Genetic and Chromosome Maps of Allium Cepa: From Markers Visualization to Genome Assembly Verification

Aleksey Ermolaev, Natalia Kudryavtseva, Anton Pivovarov, Ilya Kirov, Gennady Karlov, Ludmila Khrustaleva

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Tyr-FISH; integration genetic; cytogenetic and pseudochromosome maps; transcript based markers; genome assembly; bioinformatics; Allium cepa

Online: 12 August 2022 (12:54:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0386.v1

Meta-Analysis of Transcriptome-Wide Association Studies Across 13 Brain Tissues Identified Novel Clusters of Genes Associated with Nicotine Addiction

Zhenyao Ye, Chen Mo, Hongjie Ke, Qi Yan, Chixiang Chen, Elliot L Hong, Peter Kochunov, Braxton D Mitchell, Shuo Chen, Tianzhou Ma

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: genome-wide association study; transcriptome-wide association study; meta-analysis; expression quantitative trait loci; nicotine addiction

Online: 22 November 2021 (11:46:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0607.v1

A Dual-Color Tyr-FISH Method for Visualizing Genes/Markers on Plant Chromosomes to Create Integrated Genetic and Cytogenetic Maps

Natalya Kudryavtseva, Aleksey Ermolaev, Gennady Karlov, Ilya Kirov, Masayoshi Shigyo, Shusei Sato, Ludmila Khrustaleva

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Tyr-FISH; plant chromosome preparation; recombinant and cytogenetic maps; transcript-based markers; genome assembly; Allium cepa

Online: 22 April 2021 (12:19:32 CEST)

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Working Paper REVIEW

Advances in Engineering CRISPR-Cas9 as a Molecular Swiss Army Knife

Grace A. Meaker, Emma J. Hair, Thomas E. Gorochowski

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: synthetic biology; CRISPR; Cas9; biotechnology; biodesign; nickase; base editing; prime editing; genome editing; ethics; responsible innovation

Online: 1 October 2020 (08:38:22 CEST)

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Preprint REVIEW | doi:10.20944/preprints201911.0252.v1

From Sequence to Information

Ovidiu Popa, Ellen Oldenburg, Oliver Ebenhöh

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: data; sequence; information; entropy; genome; gene; proteins; time-series; modeling; meta-genomics; transcriptomics; proteomics; bioinformatics; DNA

Online: 22 November 2019 (02:28:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0187.v1

Possibility of Gene Rearrangement between Porcine Rotavirus H and Porcine Rotavirus C in Nonstructural Protein 3

Tohru Suzuki, Daisuke Inoue

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: Porcine rotavirus H; Porcine rotavirus C; Full genome; Classification; Genotype; Non-structural protein 3; Gene rearrangement

Online: 9 August 2018 (11:38:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1672.v2

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

Jiaxi Yang, Jiaquan Shen, Shitong Wang, Yuhang Chen, Qian Zhang, 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: 30 August 2024 (19:20:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0499.v1

Psychotic Arousal and the Psychopathology of Acute Schizophrenia. An Exploratory Study of the Experiential Emotional State in Acute Psychosis

Maria Margariti, Ilias Vlachos, Dimitra Mpourazana, Panagiotis Aristotelidis, Miriana Selakoviz, Maria Ifanti, Charalambos Papageorgiou

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: psychotic arousal scale; emotional arousal; psychotic emergence; psychotic experiences; abnormal subjective experiences; abnormal experiential feelings

Online: 7 August 2024 (10:54:58 CEST)

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Background: Increasing research data suggests that dysfunction of emotional brain systems may be an important contributor for the psychophysiology of schizophrenia. However, contemporary psychopathology consistently underestimates the role of emotions in the phenomenology of the disease. Psychotic arousal (PA) is a conceptually-defined psychopathological construct aimed to portray the experiential emotional state of acute psychosis. The concept provides an explanatory model for the emergence of psychosis, and the formation and maintenance of delusions based on neurobiological models on the formation of core consciousness and subjectivity. This is the first exploratory study of the major assumptions, endorsed in the project summarised as follows: 1) Psychotic arousal is a discrete state, eligible to investigation; 2) Abnormal experiential feelings are an integral part of this state; 3) The state is responsive to antipsychotic intervention during the first weeks of treatment.Methods: We developed accordingly the Psychotic Arousal Scale (PAS), explored its first psychometric properties and tested its relation to other psychopathological measures. 55 acute schizophrenia patients were evaluated with the PAS, the Positive and Negative Syndrome Scale, the Brown Assessment of Beliefs Scale, the Hamilton Anxiety, and the Calgary Depression. Cronbach α coefficients, t- test analysis, correlations and mixed linear regression models were applied for testing internal reliability of the scale, associations between parameters and sensitivity to change in three time periods during therapeutic intervention.Results: Results of the study support that (PA) is eligible for investigation as a discrete psychopathological state, abnormal experiential feelings are an integral part of this state, it presents high affinity with other affective measures, its degree of severity relates to the delusions’ conviction, and is amenable to antipsychotics early in treatment during the acute psychotic episode.Conclusions: Findings of this exploratory study are connotative of the presence of an emotional arousal impregnated by abnormal experiential feelings during acute psychosis, largely overlooked by contemporary psychopathology.

Preprint ARTICLE | doi:10.20944/preprints202406.1107.v1

Two-Tier Efficient QoE Optimization for Partitioning and Resource Allocation in UAV-Assisted MEC

Huaiwen He, Xiangdong Yang, Feng Huang, Hong Shen

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Unmanned aerial vehicle; Multi-access edge computing; Task offloading; Large-scale IoT network; Shrinkage ratio

Online: 17 June 2024 (08:02:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1525.v1

Validity evidence for using the Situational Motivation Scale to assess pre-clerkship medical student motivation.

Brian Wasicek, Douglas McHugh

Subject: Medicine And Pharmacology, Other Keywords: Medical students; motivation; situational motivation scale; SIMS validity evidence; undergraduate medical education; pre-clerkship curriculum

Online: 23 May 2024 (09:50:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1310.v1

Large-Scale Solar Potential Analysis as a Use Case of Urban Digital Twins

Evgeny Shirinyan, Dessislava Petrova-Antonova

Subject: Engineering, Architecture, Building And Construction Keywords: 3D city model; urban digital twin; solar radiation analysis; CAD tool application at city scale

Online: 20 May 2024 (20:16:53 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/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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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 REVIEW | doi:10.20944/preprints202409.1683.v1

Resistome Mapping in Foodborne Pathogens: Understanding Role in the Transmission Dynamics of Resistance Genes

Muneer Oladipupo Yaqub, Chinedu Eucharia Joseph, Aashika Jain, Lekshmi K. Edison

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: antibiotic resistance genes (ARGs); horizontal gene transfer (HGT); metagenome sequencing; whole genome sequencing; antibiotic stewardship; food safety

Online: 23 September 2024 (12:10:14 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202407.2052.v1

Novel De Novo RAI1:c.2736delC Variant Identified in A Child with Features of Smith-Magenis: Insight from Whole Genomes Joint Analysis

Mario Cuk, Busra Unal, Nives Jandric, Connor P. Hayes, McKenzie Walker, Kristina Crkvenac Gornik, Feruza Abraamyan, Arezou A. Ghazani

Subject: Biology And Life Sciences, Other Keywords: Smith-Magenis syndrome; retinoic acid-induced 1 protein; neurodevelopmental disorders; joint whole genome sequencing analysis ; ;

Online: 26 July 2024 (11:45:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1092.v1

Construction and Stability of All-in-One Adenovirus Vectors Simultaneously Expressing Four and Eight Multiplex Guide RNAs and Cas9 Nickase

Tomomi Nakahara, Hirotaka Tabata, Yuya Kato, Ryoko Fuse, Mariko Nakamura, Megumi Yamaji, Nobutaka Hattori, Tohru Kiyono, Izumu Saito, Tomoko Nakanishi

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: CRISPR/Cas9; genome editing; adenovirus vector; all-in-one, multiplex guide RNA; shortened U6 promoter; gene therapy

Online: 17 June 2024 (08:35:01 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.0085.v1

Crispr-cas System: Classification, Benefits, Applications And Function

Taha Nazir, Hameed A. Mirza, Nida Taha

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: CRISPR-Cas System, Biomedicine, Genome engineering, Gene editing, Human disease, Cancer, Animal models Concerns, Benefits, Applications, Function

Online: 1 February 2024 (14:24:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0981.v1

Tentaclins – a Novel Family of Phage Receptor-Binding Proteins That Can Be Hypermutated by DGR Systems

Ivan K. Baykov, Artem Y. Tikunov, Igor V. Babkin, Valeria A. Fedorets, Elena V. Zhirakovskaia, Nina V. Tikunova

Subject: Biology And Life Sciences, Virology Keywords: Bacteriophage; Genome sequence; Diversity-generating retroelement; C-type lectin; Tentaclin; Adhesin; Ig-like domain; Receptor-binding protein

Online: 15 November 2023 (09:55:37 CET)

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

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

Rao Mikkilineni

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

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

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Preprint ARTICLE | doi:10.20944/preprints202309.0299.v1

Comparative Genomic Analysis Reveals Emergence of ST-231 and ST-395 Klebsiella pneumoniae Strains Associated with High Transmissibility of blaKPC Plasmids

Muna ALMuzahmi, Meher Rizvi, Manawr AL-Quraini, Zakariya AL-Muharrami, Zaaima AL-Jabri

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: mobile genetic elements; Anti-microbial resistance; Klebsiella pneumoniae; Whole genome sequencing; integrons; plasmids; sequence types; phylogenetic analysis

Online: 6 September 2023 (04:28:45 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.1110.v1

Next Generation Sequencing in Diagnosis of Multiple Myeloma

Ikram El Fazazi, Hajar Ihlal, Meriame Abbassi, Mohamed Ahakoud, Samira Nmer, Laila Bouguenouch, Rhizlane Berrady, Karim Ouldim, Mohammed El-Azami El-Idrissi

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: multiple myeloma; next generation sequencing; whole genome sequencing; whole exome se-quencing; myTYPE panel; minimal residual disease.

Online: 17 July 2023 (15:06:14 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202112.0040.v1

The Comparative Analysis of the DNA Repeat Composition among Cannabis Sativa L., Humulus Lupulus L. And Humulus Japonicus Siebold & Zucc. With Heteromorphic Sex Chromosomes

Julia V. Bocharkina, Oleg S. Alexandrov, Olga V. Razumova, Gennady I. Karlov

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Cannabis sativa L.; Humulus lupulus L.; Humulus japonicus Siebold & Zucc.; sex chromosomes; DNA repeats; transposons; genome sequencing

Online: 3 December 2021 (09:25:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0176.v1

Mobile Colistin Resistance Genetic Determinants of Non-typhoid Salmonella enterica Isolates from Russia

K. V. Kuleshov, A. S. Pavlova, E. D. Shedko, Y. V. Mikhaylova, G. Margos, S. Hepner, I. V. Chebotar, E. V. Korneenko, A. T. Podkolzin, V. G. Akimkin

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: whole genome sequencing; antibiotic resistance; Salmonella Enteritidis; Salmonella Typhimurium; Salmonella Bovismorbificans; colistin resistance; mcr-1; mcr-9

Online: 9 November 2021 (13:46:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202104.0602.v2

Biochemistry, Not Oncogenes, may Demystify and Defeat Cancer

Jay Kulsh

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: cancer; DNA sequencing; DNA synthesis; enzyme; free-radicals; genome; HPV; oncogenes; retinoblastoma; ribonucleotide reductase; RnR; SMT; TCGA

Online: 6 July 2021 (11:32:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0094.v1

Chloroplast Genome of Phyllanthus Emblica and Leptopus Cordifolius: Comparative Analysis and Phylogenetic within Family Phyllanthaceae

Umar Rehman, Nighat Sultana, Abdullah ., Abbas Jamal, Maryam Muzaffar, Peter Poczai

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Phyllanthaceae; Phyllanthus; Leptopus; transition and transversion substitutions; chloroplast genome; phylogenetic; polymorphic loci; rps16 loss; atpF intron loss

Online: 5 July 2021 (12:03:13 CEST)

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Family Phyllanthaceae is one of the largest segregates of the eudicot order Malpighiales and its species are herb, shrub, and tree, which are mostly distributed in tropical regions. Certain taxonomic discrepancies exist at genus and family level. Here, we report chloroplast genomes of three Phyllanthaceae species—Phyllanthus emblica, Flueggea virosa, and Leptopus cordifolius— and compare them with six others previously reported Phyllanthaceae chloroplast genomes. The species of Phyllanthaceae displayed quadripartite structure, comprising inverted repeat regions (IRa and IRb) that separate large single copy (LSC) and small single copy (SSC) regions. The length of complete chloroplast genome ranged from 154,707 bp to 161,093 bp; LSC from 83,627 bp to 89,932 bp; IRs from 23,921 bp to 27,128 bp; and SSC from 17,424 bp to 19,441 bp. Chloroplast genomes contained 111 to 112 unique genes, including 77 to 78 protein-coding, 30 transfer RNA (tRNA), and 4 ribosomal RNA (rRNA) that showed similarities in arrangement. The number of protein-coding genes varied due to deletion/pseudogenization of rps16 genes in Baccaurea ramiflora and Leptopus cordifolius. High variability was seen in number of oligonucleotide repeats while analysis of guanine-cytosine (GC) content, codon usage, amino acid frequency, simple sequence repeats analysis, synonymous and non-synonymous substitutions, and transition and transversion substitutions showed similarities in all Phyllanthaceae species. We detected a higher number of transition substitutions in the coding sequences than non-coding sequences. Moreover, the high number of transition substitutions was determined among the distantly related species in comparison to closely related species. Phylogenetic analysis shows the polyphyletic nature of the genus Phyllanthus which requires further verification. We also determined suitable polymorphic coding genes, including rpl22, ycf1, matK, ndhF, and rps15 which may be helpful for the reconstruction of the high-resolution phylogenetic tree of the family Phyllanthaceae using a large number of species in the future. Overall, the current study provides insight into chloroplast genome evolution in Phyllanthaceae.

Preprint BRIEF REPORT | doi:10.20944/preprints202105.0526.v1

Circulating SARS-CoV-2 Variants in Italy, October 2020-March 2021

Alessia Lai, Annalisa Bergna, Stefano Menzo, Gianguglielmo Zehender, Sara Caucci, Valeria Ghisetti, Francesca Rizzo, Fabrizio Maggi, Francesco Cerutti, Giorgio Giurato, Alessandro Weisz, Chiara Turchi, Bianca Bruzzone, Francesca Ceccherini-Silberstein, Nicola Clementi, Annapaola Callegaro, Fabio Sagradi, Daniela Francisci, Emmanuele Venanzi Rullo, Ilaria Vicenti, Massimo Clementi, Massimo Galli

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: SARS-CoV-2 virus; complete genome sequencing; COVID-19 RT-PCR testing; Spike protein; vi-ral variants

Online: 21 May 2021 (15:12:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0273.v1

Integrated into Environmental Biofilm Chromobacterium Vaccinii Survives Winter with Support of Bacterial Community

Daria A. Egorova, Olga L. Voronina, Andrey I. Solovyev, Marina S. Kunda, Ekaterina I. Aksenova, Natalia N. Ryzhova, Ksenya V. Danilova, Valentina S. Rykova, Anastasya A. Scherbakova, Andrey N. Semenov, Nikita B. Polyakov, Daniil A. Grumov, Natalia V. Shevlyagina, Inna V. Dolzhikova, Yulia M. Romanova, Alexander L. Gintsburg

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Chromobacterium vaccinii; biofilm; sharing goods; social cheater; bog microbiome; bacterial genome, violacein, cold adaptation, IDBac, QS mutant

Online: 12 September 2020 (12:04:38 CEST)

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Preprint REVIEW | doi:10.20944/preprints201811.0269.v1

Non-Clonal Chromosome Aberrations and Genome Chaos in Somatic And Germ Cells from Patients and Survivors of Hodgkin Lymphoma, Induced by Anticancer Treatment

Sara Frias, Sandra Ramos, Consuelo Salas, Bertha Molina, Silvia Sánchez-Sandoval, Roberto Rivera-Luna

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: chromosome instability (CIN); chromoplexy; genome chaos; chromosomal heterogeneity; karyotype heterogeneity; non-clonal chromosome aberration (NCCA); second cancer

Online: 12 November 2018 (06:38:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.0777.v1

Delineating Ecological Functional Zones and Grades for Multi-Scale Ecosystem Management

Yan Zhang, Shuhan Liu, Peiheng Yu, Yanchi Lu, Yang Zhang, Jinting Zhang, Yiyun Chen

Subject: Environmental And Earth Sciences, Ecology Keywords: ecosystem services; ecological functional zones; tradeoffs and synergies; self-organizing feature mapping; multi-scale management ;

Online: 10 September 2024 (09:42:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1537.v1

Converting Candlenut Shell Waste into Graphene for Electrode Applications

Rikson Siburian, Kerista Tarigan, Yosia Gopas Oetama Manik, Fajar Hutagalung, Yatimah Alias, Yong Ching Chan, Boon Peng Chang, Jonathan Siow, Amanda Jiamin Ong, Jingfeng Huang, Suriati Paiman, Boon Tong Goh, Lisnawaty Simatupang, Ronn Goei, Alfred Iing Yoong Tok, Yahya Mohd Fakharul Zaman Raja, Fathan Bahfie

Subject: Engineering, Other Keywords: graphene; candlenut (Aleurites moluccanus) shell; Ce/graphene; carbon large scale production; energy storage electrodes

Online: 24 June 2024 (04:28:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1714.v1

Large-Scale Group Decision-Making Method with Public Participation and Its Application in Urban Management

Xiuhong Niu, Yongming Song, Zhongwen Xu

Subject: Business, Economics And Management, Business And Management Keywords: Large-scale group decision-making; Public participation; Multi-granular probabilistic linguistic preference relations; Consensus reaching process

Online: 27 May 2024 (13:07:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1203.v1

Computational Thinking Measurement of CS University Students

Raquel Hijón-Neira, Celeste Pizarro, John French, Daniel Palacios-Alonso, Emre Çoban

Subject: Computer Science And Mathematics, Computer Science Keywords: Computational Thinking; Programming; Performance-based assessment platform; Interactive web app; Evaluation methods; Psychometric scale; Students evaluation

Online: 20 May 2024 (10:11:12 CEST)

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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: Engineering, Other 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/preprints202401.0773.v1

Validation of HPV Knowledge Tool and Assessment of HPV Knowledge and Awareness among Students and Staff at IBB University, Niger State, Nigeria: Implications for Health Education and Prevention

Melvin Omone Ogbolu, Miklós Kozlovszky

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Cervical cancer; HPV knowledge; Awareness of HPV infection; Awareness of HPV vaccine; Scale validation; Quantile regression

Online: 10 January 2024 (10:01:35 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/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/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/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 REVIEW | doi:10.20944/preprints202406.1327.v2

Advancements in Date Palm Genomics and Biotechnology Genomic Resources to the Precision Agriculture: A Comprehensive Review

Nikhil Pandey, Pooja Tripathi, Nancy Pandey, Hitesh Nakum, Yuvraj Sinh Vala

Subject: Biology And Life Sciences, Horticulture Keywords: date palm; genomics; genetic diversity; genome editing; pest resistance; disease resistance; in vitro propagation; AI-ML; precision agriculture

Online: 28 June 2024 (08:01:26 CEST)

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