BBC Russian

Preprint ARTICLE | doi:10.20944/preprints202001.0318.v1

Efficient Binary Symbiotic Organisms Search Algorithm Approaches for Feature Selection Problems

Hekmat Mohmmadzadeh, Farhad Soleimanian Gharehchopogh

Subject: Computer Science And Mathematics, Computer Science Keywords: efficient binary symbiotic; feature selection; classification; optimization

Online: 26 January 2020 (08:30:17 CET)

Show abstract| Download PDF| Share

Feature selection is one of the main data preprocessing steps in machine learning. Its goal is to reduce the number of features by removing extra and noisy features. Feature selection methods must consider the accuracy of classification algorithms while performing feature reduction on a dataset. Meta-heuristic algorithms are the most successful and promising methods for solving this issue. The symbiotic organisms search algorithm is one of the successful meta-heuristic algorithms which is inspired by the interaction of organisms in the nature called Parasitism Commensalism Mutualism. In this paper, three engulfing binary methods based on the symbiotic organisms search algorithm are presented for solving the feature selection problem. In the first and second methods, several S-shaped and V-shaped transfer functions are used for binarizing the symbiotic organisms search algorithm, respectively. These methods are called BSOSS and BSOSV. In the third method, two new operators called BMP and BCP are presented for binarizing the symbiotic organisms search algorithm. This method is called EBSOS. The third approach presents an advanced binary version of the coexistence search algorithm with two new operators, BMP and BCP, to solve the feature selection problem, named EBSOS. The proposed methods are run on 18 standard UCI datasets and compared to base and important meta-heuristic algorithms. The test results show that the EBSOS method has the best performance among the three proposed approaches for binarization of the coexistence search algorithm. Finally, the proposed EBSOS approach was compared to other meta-heuristic methods including the genetic algorithm, binary bat algorithm, binary particle swarm algorithm, binary flower pollination algorithm, binary grey wolf algorithm, binary dragonfly algorithm, and binary chaotic crow search algorithm. The results of different experiments showed that the proposed EBSOS approach has better performance compared to other methods in terms of feature count and accuracy criteria. Furthermore, the proposed EBSOS approach was practically evaluated on spam email detection in particular. The results of this experiment also verified the performance of the proposed EBSOS approach. In addition, the proposed EBSOS approach is particularly combined with the classifiers including SVM, KNN, NB and MLP to evaluate this method performance in the detection of spam emails. The obtained results showed that the proposed EBSOS approach has significantly improved the accuracy and speed of all the classifiers in spam email detection.

Preprint ARTICLE | doi:10.20944/preprints202109.0407.v1

A Cloud Computing-Based Modified Symbiotic Organisms Search Algorithm for Ecosystem Sustainability

Ajoze Abdulraheem Zubair, Shukor Bin Abd Razak, Md. Asri Bin Ngadi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: cloud computing; cloud resource management; task scheduling; ecosystem; geometric mean; symbiotic organisms search algorithm; convergence speed

Online: 23 September 2021 (12:31:06 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202010.0366.v1

Operational Optimization at Signalized Metering Roundabouts Using Cuckoo Search/Local Search Algorithm

Hong Ki An, Yao Liu, Dong Sun Kim

Subject: Engineering, Automotive Engineering Keywords: Metering roundabout; Detector location; AIMSUN; Cucksoo search/Local search algorithm

Online: 19 October 2020 (10:41:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0182.v1

Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants

Khaled Alhamad, Yousif Alkhezi

Subject: Computer Science And Mathematics, Discrete Mathematics And Combinatorics Keywords: preventive maintenance; scheduling; optimization; genetic algorithm; tabu search; metaheuristic

Online: 2 April 2024 (12:56:52 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202212.0481.v1

EJS: Multi-Strategy Enhanced Jellyfish Search Algorithm for En-Gineering Applications

Gang Hu, Jiao Wang, Min Li, Abdelazim Hussien, Muhammad Abbas

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Meta-heuristic algorithm; Jellyfish search algorithm; Sine and cosine learning factors; Local escape operator; Opposition-based learning

Online: 26 December 2022 (09:06:46 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202309.0331.v1

Path Planning of Unmanned Surface Vehicle Based on Improved Sparrow Search Algorithm

Guang zhong Liu, Sheng Zhang, Guo jie Ma, Yi peng Pan

Subject: Engineering, Marine Engineering Keywords: improved sparrow search algorithm; unmanned surface vehicle (USV); path planning; chaotic map; inland ENC processing

Online: 6 September 2023 (03:45:03 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.1856.v1

Yoga and Swimming – A Symbiotic Approach with Positive Impact on Health and Athletes’ Performance

Rocsana Bucea-Manea-Țoniș, Andreea Natalia Jureschi (Gheorghe), Luciela Vasile

Subject: Biology And Life Sciences, Aquatic Science Keywords: yoga practice; social and health benefits; therapeutic approaches

Online: 24 July 2024 (16:28:38 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.2022.v1

TIVC: An Efficient Local Search Algorithm for Minimum Vertex Cover in Large Graphs

Yu Zhang, Shengzhi Wang, Chanjuan Liu, Enqiang Zhu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: minimum vertex cover (MVC); local search; wireless sensor networks (WSNs); combinatorial optimization; large graphs

Online: 31 July 2023 (11:02:18 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202304.0663.v1

Palace: A Parallel Adaptive Local-Search Algorithm Based on Competition and Evolution for Orienteering Problems and Variants

Haiwei Lei, Yonghao Du, Lining Xing, Yingwu Chen

Subject: Computer Science And Mathematics, Discrete Mathematics And Combinatorics Keywords: Orienteering problems; local-search metaheuristics; parallelism; competition; evolution; Benchmark

Online: 21 April 2023 (03:17:49 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0476.v1

Metabolomics on Apple (Malus domestica) Cuticle—Search for Authenticity Markers

Kamila Bechynska, Jiri Sedlak, Leos Uttl, Vit Kosek, Petra Vackova, Vladimir Kocourek, Jana Hajslova

Subject: Chemistry And Materials Science, Food Chemistry Keywords: Malus domestica; apple cuticle; UHPLC-HRMS/MS; metabolomic fingerprints; classification models; markers; wax esters

Online: 8 April 2024 (03:04:51 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202408.1718.v1

Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing

Rongfei Li, Farhad Assadian

Subject: Engineering, Control And Systems Engineering Keywords: energy-aware; optimization; visual servoing; eye-to-hand configuration; automated manufacturing

Online: 26 August 2024 (02:33:28 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.0678.v1

Optimization Of The Search For Neuroprotectors Among Bioflavonoids

Igor Belenichev, Victor Ryzhenko, Olena Popazova, Nina Bukhtiyarova, Nadia Gorchakova, Valentyn Oksenych, Oleksandr Kamyshnyi

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: informational technologies; multiple sclerosis; virtual screening; bioflavonoids; neuroprotection

Online: 11 June 2024 (11:07:27 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202201.0188.v1

Tardigrades and Their Emergence as Model Organisms

Bob Goldstein

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: emerging model organisms; tardigrades; Hypsibius exemplaris; evo-devo; survival of extremes; protectants

Online: 13 January 2022 (11:43:29 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0930.v1

Effect of Pure Dephasing Quantum Noise in the Quantum Search Algorithm Using Atos Quantum Assembly

Maria Heloísa Fraga da Silva, Gleydson Fernandes de Jesus, Clebson Cruz

Subject: Physical Sciences, Quantum Science And Technology Keywords: Quantum Computing; Grover's algorithm; Software Development; Quantum Noise

Online: 14 May 2024 (09:29:40 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201812.0205.v1

Dynamic Evolution Hypothesis of Organisms

Yonghua Wu

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Diminished fitness return, mutation rate tuning, Darwinian evolution; neutral evolution; punctuated equilibrium; unified evolutionary theory

Online: 17 December 2018 (16:10:52 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201805.0458.v1

How Organisms Guide Their Actions

David N. Lee

Subject: Social Sciences, Behavior Sciences Keywords: action; perception; neural; guidance; information; organism

Online: 31 May 2018 (03:23:52 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0991.v1

ServerFi: A New Symbiotic Relationship Between Games and Players

Pavun Shetty

Subject: Business, Economics And Management, Other Keywords: Blockchain; GameFi; Tokenomics

Online: 14 August 2024 (00:21:44 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.1467.v1

Localized Crop Classification by NDVI Time Series Analysis of Remote Sensing Satellite Data; Applications for Mechanization Strategy and Integrated Resources Management

Hafiz Md-Tahir, Hafiz Sultan Mahmood, Muzammil Husain, Ayesha Khalil, Muhammad Shoaib, Mahmood Ali, Muhammad Mohsin Ali, Muhammad Tasawar, Yasir Ali Khan, Usman Khalid Awan, Muhammad Jehanzeb Masud Cheema

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Remote sensing; Geographical information system; Vegetation index; LULC classification; Agricultural mechanization; Strategic planning; Resources management; Artificial intelligence algorithms; Crop phenology, Satellite data; Precision agriculture

Online: 18 July 2024 (11:28:24 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202101.0178.v1

Zinc: Multidimensional Effects on Living Organisms

Math P. Cuajungco, Maria Soledad Ramirez, Marcelo E. Tolmasky

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: metalloproteins; zinc transporters; metal chelators; antibiotic resistance; antimicrobials

Online: 11 January 2021 (10:20:01 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0070.v1

Grouped Bees Algorithm: A Grouped Version of the Bees Algorithm

Hamid Reza Nasrinpour, Amir Massah Bavani, Mohammad Teshnehlab

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: bees algorithm; swarm intelligence; evolutionary optimization; grouped bees algorithm

Online: 14 November 2016 (04:48:54 CET)

Show abstract| Download PDF| Share

Working Paper REVIEW

Microbiome-Aware Ecotoxicology of Organisms: Relevance, Pitfalls and Challenges

Sébastien Duperron, Sébastien Halary, Alison Gallet, Benjamin Marie

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: toxicology; microbiota; symbiosis; contaminants; resilience; environment

Online: 8 August 2020 (05:01:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.0657.v1

Impact of Alcalase Hydrolysis and Simulated Gastrointestinal Digestion on the Release of Bioactive Peptides From Erythrina edulis (Chachafruto) Proteins

Jessica L. Correa, Jose Edgar Zapata, Blanca Hernández-Ledesma

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Erythrina edulis; enzymatic hydrolysis; in vitro gastrointestinal digestion; peptides; antioxidant; macrophages.

Online: 9 July 2024 (14:03:19 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202112.0192.v1

Using Enhanced Sparrow Search Algorithm-Deep Extreme Learning Machine Model to Forecast End-Point Phosphorus Content of BOF

Lingxiang Quan, Ailian Li, Guimei Cui, Shaofeng Xie

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: End-point phosphorus content; Deep extreme learning machine; Sparrow search algorithm; Trigonometric substitution; Cauchy mutation

Online: 10 December 2021 (15:04:59 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202306.1174.v1

Kombucha and Water Kefir Grains Microbiomes' Symbiotic Contribution upon Postbiotics Enhancement

Marina Pihurov, Bogdan Păcularu-Burada, Mihaela Cotârleț, Leontina Grigore-Gurgu, Daniela Borda, Nicoleta Stănciuc, Maciej Kluz, Gabriela Bahrim

Subject: Biology And Life Sciences, Food Science And Technology Keywords: water kefir grains; SCOBY membranes; co-fermentation; design of experiments; postbiotics

Online: 16 June 2023 (05:01:44 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202109.0028.v1

Effects of Glyphosate and Their Metabolite AMPA on Aquatic Organisms

Nikola Tresnakova, Alzbeta Stara, Josef Velisek

Subject: Biology And Life Sciences, Toxicology Keywords: toxicity; effect; fish; invertebrate; mussels

Online: 1 September 2021 (15:52:02 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201809.0570.v1

Towards the Unification of Quantum Dynamics, Relativity and Living Organisms

Arturo Tozzi, James F. Peters, John S. Torday

Subject: Biology And Life Sciences, Biophysics Keywords: Einstein; manifold; Hilbert space; Abelian; living cell; Borsuk-Ulam theorem; topology

Online: 28 September 2018 (13:32:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201706.0016.v1

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Jianzhong Zhou, Yanhe Xu, Yang Zheng, Yuncheng Zhang

Subject: Computer Science And Mathematics, Computer Science Keywords: pumped storage hydro unit; guide vane closing schemes; multi-objective optimization; enhanced multi-objective bacterial-foraging chemotaxis gravitational search algorithm (EMOBCGSA); hydraulic and mechanical constraints

Online: 2 June 2017 (07:56:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202303.0102.v1

Density and Bleaching of Corals and Their Relationship to the Coral Symbiotic Community

Temir A. Britayev¹, Roman A. Petrochenko, Yulia Burmistrova, Thanh Hai Nguyen, Fedor V. Lishchenko

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Symbionts Pocillopora verrucose; Diversity; Species richness; Abundance; Obligate sym-biont; Facultative symbiont

Online: 6 March 2023 (10:08:41 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0581.v1

Fusion of RIME Algorithm Improved Snake Optimization Algorithm and Its Applications in UAV Path Planning and Engineering Problems

Kaiyuan Zheng, Huiyong Liu, Tongyu Jia

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: metaheuristic algorithm; snake optimization algorithm; RIME algorithm; interdisciplinary problem; aerospace engineering; robotics; network engineering; mechanical engineering ;

Online: 8 August 2024 (12:10:13 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.1218.v1

Improved Small Object Detection Algorithm CRL-YOLOv5

Zhiyuan Wang, Shujun Men, Yuntian Bai, Yutong Yuan, Jiamin Wang, Kanglei Wang, Lei Zhang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Small Object Detection; Attention Mechanisms; Contextual Information; YOLOv5

Online: 19 August 2024 (18:03:34 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201810.0616.v1

Dual-Family Peptidylprolyl Isomerases (Immunophilins) of Select Monocellular Organisms

Sailen Barik

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: peptidylprolyl isomerase; chaperone; immunophilin; extremophile; intrinsic disorder

Online: 26 October 2018 (05:20:51 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.1504.v1

Force Directed 3D Graph Visualization Algorithm

Alexander Brezani, Jozef Kostolny, Michal Zabovsky

Subject: Computer Science And Mathematics, Analysis Keywords: graph visualization; spring embedders; force-directed algorithms; 3D visualization; Unity Engine

Online: 23 April 2024 (08:48:59 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201610.0038.v1

Research on an SVM Coupling Algorithm of Image Recognition

Ai-Min Yang, Yang Han, Jin-Ze Li, Yu-Hang Pan, Lei-Jie Shen, Yan Long, Yu-Zhu Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Face Recognition; Intelligent Coupling Algorithm; Robustnes; Accuracy; Speed

Online: 11 October 2016 (14:42:02 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.0273.v1

Developing a Symbiotic Fermented Milk Product with Microwave-Treated Hawthorn Extract

Aidana Utebaeva, Eleonora Gabrilyants, Zhansaya Abish

Subject: Biology And Life Sciences, Food Science And Technology Keywords: probiotics; prebiotics; hawthorn extract; sensory properties; amino acid composition; vitamin content; mineral content; antioxidant properties

Online: 3 July 2024 (05:26:17 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0127.v1

A Hybrid Adaptive Unscented Kalman Filter Algorithm

Jun He, Qinhua Zhang, Qin Hu, Guouxi Sun

Subject: Engineering, Control And Systems Engineering Keywords: hybrid adaptive; unscented kalman filtering; maximum a posteriori; maximum likelihood criterion

Online: 17 March 2017 (01:49:42 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1915.v1

Sublethal and Transgenerational Effects of Nitenpyram on Acyrthosiphon gossypii and Its Impacts on Symbiotic Bacteria

Yindi Wei, Wenjie Li, Ting Chen, Yue Su, Xu Han, Yongsheng Yao

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: nitenpyram; Acyrthosiphon gossypii; symbiotic bacteria; sublethal effects; transgenerational effects

Online: 29 May 2024 (07:40:26 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1695.v1

Sublethal and Transgenerational Effects of Nitenpyram on Acyrthosiphon gossypii and Its Impacts on Symbiotic Bacteria

Yindi Wei, Wenjie Li, Ting Chen, Yue Su, Xu Han, Yongsheng Yao

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: nitenpyram; Acyrthosiphon gossypii; symbiotic bacteria; sublethal effects; transgenerational effects

Online: 27 May 2024 (11:37:03 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201608.0071.v1

Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes

Fang Wang, Yunqing Rao, Chaoyong Zhang, Qiuhua Tang, Liping Zhang

Subject: Engineering, Mechanical Engineering Keywords: energy-efficiency scheduling; flexible flow shop; estimation of distribution algorithm; turning processing

Online: 8 August 2016 (08:49:49 CEST)

Show abstract| Download PDF| Share

Preprint COMMUNICATION | doi:10.20944/preprints202304.0888.v1

HABS-controlled Growth of Aragonite Based Polymorphic Symbiotic CaCO3 Crystals in Emulsion

Weiwei He, Junqing Hu, Weihao Sun, Jiqiong Liu, Hongguang Guo, Changming Zhao, Qinggguo Wang, Xiangbin Liu, Meng Cai, Weiguang Shi

Subject: Chemistry And Materials Science, Other Keywords: aragonite; HABS; symbiotic crystals; superstructure; mineralization; kerosene emulsion

Online: 25 April 2023 (05:29:07 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints202403.1401.v1

Plasma Metabolite Profiling in the Search for Early-Stage Biomarkers for Lung Cancer: Some Important Breakthroughs

Jill Meynen, Peter Adriaensens, Maarten Criel, Evelyne Louis, Karolien Vanhove, Michiel Thomeer, Liesbet Mesotten, Elien Derveaux

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: biomarkers; lung cancer; metabolomics; NMR (nuclear magnetic resonance)

Online: 25 March 2024 (07:06:46 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0953.v1

Two-Stage Multi-Satellite Scheduling Algorithm Based on Task Merging Mechanism

Jing Yu, Li Ning Xing, Yan Jie Song, Zhao Hui Liu

Subject: Engineering, Aerospace Engineering Keywords: multi-satellite scheduling; task merging; mergring task scheduling; firework algorithm

Online: 15 April 2024 (10:58:41 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202111.0267.v1

First Observation of Unicellular Organisms Concentrating Arsenic in ACC Intracellular Inclusions

Agathe Martignier, Montserrat Filella, Jean-Michel Jaquet, Mathieu Coster, Daniel Ariztegui

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Lake Geneva; Lake Titicaca; micropearls; ACC; arsenic; calcium; strontium; barium; biomineralisation; nondetects statistical analysis

Online: 19 November 2021 (09:24:06 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints202310.0334.v1

Occurrence of Microplastics (MPs) in Antarctica and Its Impact on the Health of Organisms

Laxmi Kant Bhardwaj

Subject: Environmental And Earth Sciences, Environmental Science Keywords: South Polar Region; Antarctica; Microplastics (MPs); Density Separation; Fourier-Transform Infrared Spectroscopy (FTIR)

Online: 6 October 2023 (11:56:32 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.1116.v1

An Extreme Learning Machine Stock Price Prediction Algorithm Based on the Optimisation of the Crown Porcupine Optimisation Algorithm with an Adaptive Bandwidth Kernel Function Density Estimation Algorithm

Keke Yu, Qiaozhi Bao, Haosen Xu, Guanghe Cao, Siwei Xia

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Extreme learning machine; Crown porcupine optimisation algorithm; Adaptive bandwidth kernel function density estimation algorithm

Online: 15 August 2024 (22:47:30 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202405.1212.v1

Important Repercussions of the COVID-19 Pandemic Lifestyle Avoided by Researchers? Face Masks and Temporomandibular Disorders: A Systematic Search and Review

Szymon Jozef Pietrzyk, Emilia Kielczynska, Martyna Kowalczyk, Mateusz Mazurek, Zygmunt Antoni Domagala

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: temporomandibular joint disorder; TMD; SARS-CoV-2 outbreak; COVID-19; COVID-19 pandemic; face masks; prolonged face mask use; TMJ; complications

Online: 20 May 2024 (12:37:23 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201702.0106.v1

A Robust Diffusion Estimation Algorithm with Self-adjusting Step-size in WSNs

Feng Chen, Qing Ye, Xiaodan Shao, Shukai Duan

Subject: Computer Science And Mathematics, Computer Science Keywords: robust diffusion estimation; self-adjusting step-size; non-Gaussian noise; wireless sensor networks

Online: 28 February 2017 (12:38:25 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0009.v1

Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots

Li WAN, Zhenjiang LI, Changan ZHANG, Guangyong CHEN, Panming ZHAO, Kewei WU

Subject: Engineering, Transportation Science And Technology Keywords: YOLOv9 + DeepSORT; Edge Computing; Mobile Event Detection; Smart Tunnels

Online: 1 August 2024 (11:11:29 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202311.1031.v1

Genomic and Transcriptomic Analysis of Pea (Pisum sativum L.) Breeding Line ‘Triumph’ with High Symbiotic Responsivity

Evgeny A. Zorin, Anton S. Sulima, Aleksandr I. Zhernakov, Daria O. Kuzmina, Valeria A. Rakova, Marina S. Kliukova, Daria A. Romanyuk, Olga A. Kulaeva, Gulnara A. Akhtemova, Oksana Y. Shtark, Igor A. Tikhonovich, Vladimir A. Zhukov

Subject: Biology And Life Sciences, Plant Sciences Keywords: plant-microbe symbiosis; legumes; Pisum sativum; symbiotic responsivity; genomics; transcriptomics; differential gene expression; molecular breeding

Online: 15 November 2023 (15:49:19 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202407.1637.v1

Crucial Interactions between Altered Plasma Trace Elements and Fatty Acids Unbalance Ratio to Management of Systemic Arterial Hypertension in Diabetic Patients: Focus on Endothelial Dysfunction

Ines Gouaref, Mohamed Makrelouf, Amel Otmane, Samir Ait Abderrhmane, Haddam Ali El Mahdi, Koceir Elhadj-Ahmed

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Systemic arterial hypertension; Type 2 diabetes mellitus; Antioxidant trace elements; Lipotoxicity; Fatty acid Ratio; Endothelial dysfunction; Oxidative Stress; Atherothrombogenic risk; Insulinresistance; inflammation

Online: 22 July 2024 (05:28:41 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0057.v1

A Multi-Focus Image Fusion Algorithm Based on Contrast Pyramids

Mingzhu Lai, Jianguo Sun, Liguo Zhang, Yiran Shen, Qing Yang, Zilong Jin

Subject: Engineering, Electrical And Electronic Engineering Keywords: multi-focus image, image fusion, region mosaic, contrast pyramid

Online: 10 November 2016 (07:34:22 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.1963.v1

HP-YOLOv8: High-Precision Small Object Detection Algorithm for Remote Sensing Images

Guangzhen Yao, Sandong Zhu, Long Zhang, And Miao Qi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: YOLOv8; Small Object Detection; Remote Sensing Images; attention mechanism; feature 21
fusion

Online: 27 June 2024 (18:44:55 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.1615.v1

Commutative Encryption and Reversible Watermarking Algorithm for Vector Maps Based on Virtual Coordinates

Qianyi Dai, Baiyan Wu, Fanshuo Liu, Zixuan Bu, Haodong Zhang

Subject: Computer Science And Mathematics, Security Systems Keywords: vector map; commutative encryption and reversible watermarking; virtual coordinates; difference expansion

Online: 24 June 2024 (08:44:20 CEST)

Show abstract| Download PDF| Share

The combination of encryption and digital watermarking technologies is a trend to achieve full lifecycle data protection. Recently, reversible data hiding in encrypted domain (RDHED) has greatly aroused the interests of many scholars. But the fixed order of first encryption and then watermarking makes this kind of algorithms unsuitable to many applications. Commutative encryption and watermarking (CEW) technology realizes the flexible combination of encryption and watermarking, and suits more applications. However, most existing CEW schemes for vector maps are not reversible and unsuitable to high precision maps. To solve this problem, here we propose a commutative encryption and reversible watermarking (CERW) algorithm for vector maps based on virtual coordinates which are uniformly distributed on the number axis. The CERW algorithm consists of virtual interval step based encryption scheme and coordinate difference based reversible watermarking scheme. In the encryption scheme, the map coordinates are moved randomly by multiples of virtual interval step defined as distance between two adjacent virtual coordinates. In the reversible watermarking scheme, difference expansion (DE) technique is used to embed the watermark bit into the coordinate difference computed based on the relative position of a map coordinate in a virtual interval. Since the relative position of a map coordinate in a virtual interval keeps unchanged during the coordinate scrambling encryption process, the watermarking operation and the encryption operation don’t interfere with each other and the commutativity between encryption and watermarking achieves. Results show that: proposed method has high security, high capacity and good invisibility. In addition, the algorithm is not only applicable to polyline and polygon vector data, but also can be applied to sparsely distributed point data which the traditional DE watermarking algorithm often fails to watermark.

Preprint ARTICLE | doi:10.20944/preprints202408.1280.v1

Effects of Three Yeast Strains on In Vitro Rumen Fermentation of Corn Stover and a Total Mixed Ration

Bexy Gonzalez-Mora, Francisco Castillo-Rangel, Joel Dominguez-Viveros, Perla Lucia Ordoñez-Baquera, Michael E. Hume, Robin C. Anderson, Monserrath Félix-Portillo, Agustin Corral-Luna, Jaime Salinas-Chavira, Yamicela Castillo-Castillo, Oscar Ruiz-Barrera

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: microbial feed additives; probiotic; Candida norvegensis; Pichia guilliermondii; Saccharomyces cerevisiae

Online: 19 August 2024 (05:49:25 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202405.1051.v1

A Survey of Computer Vision Algorithm Applied in Driverless Robotic Vehicles with Sensing Capability

Lu Chen, Gun Li, Weisi Xie, Jie Tan, Yang Li, Junfeng Pu, Lizhu Chen, Decheng Gan, Weimin Shi

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: computer vision; driverless robotic vehicles; visual SLAM; deep learning; sensing capability

Online: 15 May 2024 (13:44:13 CEST)

Show abstract| Download PDF| Share

Working Paper REVIEW

Death Happy: Adaptive Ageing and Its Evolution by Kin Selection in Organisms with Colonial Ecology

David Gems, Evgeniy Galimov

Subject: Biology And Life Sciences, Aging Keywords: adaptive death; ageing; altruism; C. elegans; kin selection; salmon

Online: 4 August 2020 (11:26:31 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202205.0314.v1

Genetic Background Matters: Population-based Studies in Model Organisms for Translational Research

Valeria Olguín, Anyelo Durán, Macarena Las-Heras, Juan Carlos Rubilar, Francisco A. Cubillos, Patricio Olguín, Andrés D. Klein

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: systems genetics 1; mouse 2; Drosophila 3; Saccharomyces cerevisiae; translational research 4; genetic background: precision medicine 5; gene mapping 6.

Online: 24 May 2022 (03:37:31 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0663.v1

Adaptive Hyperactivity and Clinical and Laboratory Biomarker Search: The Case of Old Elders in the Blue Zone of Sardinia

Alessandra Scano, Germano Orrù, Goce Kalcev, Giulia Cossu, Massimo Tusconi, Maura Spada, Laura Atzori, Caterina Ferreli, Flavio Cabitza, Diego Primavera, Federica Sancassiani

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Bipolar Disorders; BD; Laboratory Medicine; Applied Biomedical Technologies; Bipolar Spectrum; Prevention; New Technologies; Hyperactive; Blue Zone; Biomarker

Online: 9 September 2024 (11:25:52 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0680.v1

Crack Detection in Orthographic Road Images Based on EC-YOLOX Algorithm

Lishuang Sun, Zeyu Liu, Zhiwei Xie

Subject: Engineering, Transportation Science And Technology Keywords: crack detection; Shallow features; YOLOX; ECA attention model; IOU loss; distortion correction

Online: 12 March 2024 (08:18:47 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202211.0506.v1

Influencing Factors and Symbiotic Mechanism of the Integration of Medical and Disease Prevention during the COVID-19 Pandemic: A Cross-Sectional Survey of Public Hospital Employees

Zhen Wu, Huiyi Tian, Dongjian Xu, Jiaying Chen, Yaqi Hu, Xiaohe Wang, And Siyu Zhou

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Integration; Medical and disease prevention; Mediating effect; Public health; Symbiotic

Online: 28 November 2022 (08:56:17 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201610.0055.v1

Numerical Simulation of Hypervelocity Impact FEM-SPH Algorithm Based on Large Deformation of Material

Aimin Yang, Jinze Li, Hengheng Qu, Yuhang Pan, Yanhong Kang, Yuzhu Zhang

Subject: Computer Science And Mathematics, Analysis Keywords: finite element method; smoothed particle method; fem-sph algorithm; large deformation; super high speed collision

Online: 14 October 2016 (11:05:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202209.0358.v1

Iterative Qubits Management for Quantum Search

Wenrui Mu

Subject: Computer Science And Mathematics, Information Systems Keywords: Quantum Search; Qubit Management; Iterative Search

Online: 23 September 2022 (05:25:28 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1958.v1

A Universal Image Compression Sensing-Encryption Algorithm Based on DNA-Triploid Mutation

Yinghong Cao, Linlin Tan, Xianying Xu, Bo Li

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: privacy protection; DNA-triploid mutation; compression sensing; image encryption

Online: 29 May 2024 (14:20:18 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.1170.v1

Topological Evolution of Simple and Complex Organisms: A Graph-Based Simulation Study on Adaptability and Evolutionary Constraints

Richard Murdoch Montgomery

Subject: Biology And Life Sciences, Biophysics Keywords: evolutionary theory; complex systems evolution; graph theory; differential topology; biological complexity; evolutionary buffering; integrative evolutionary models

Online: 15 July 2024 (12:11:54 CEST)

Show abstract| Download PDF| Share

This study aims to refine our understanding of evolutionary processes, particularly as they apply to complex organisms, using an innovative graph-based simulation approach. We model the topological evolution of simple (5-node ring graph) and complex (20-node dense random graph) organisms over 10 generations, applying different mutation rates to reflect biological realities. Our results provide intriguing insights into the potentially different evolutionary dynamics at play in simple versus complex organisms. While simple organisms demonstrate high topological flexibility and rapid adaptability, aligning with classical evolutionary models, complex organisms exhibit a surprising degree of structural stability. This stability persists even under mutation rates that would typically drive significant changes in simpler systems. The simulation highlights an important consideration: the intricate, interdependent networks characteristic of complex organisms may create a form of evolutionary buffering. This buffering could modulate the impact of random mutations and natural selection – processes that are cornerstones of evolutionary theory. Our findings suggest that the high degree of complexity in advanced life forms may necessitate a more nuanced view of how evolutionary processes operate across different levels of biological organization. Furthermore, the emergence of new structural motifs in simple organisms, contrasted with the relative conservation in complex topologies, indicates that evolutionary mechanisms may manifest differently across the spectrum of biological complexity. This observation invites a more detailed exploration of how evolutionary principles apply to diverse life forms.These results contribute to the ongoing refinement of evolutionary theory, especially in its application to complex organisms. They suggest that additional mechanisms, such as constrained mutations, epigenetic changes, or higher-order organizational principles, may play significant roles alongside random mutations and natural selection in the evolution of complex life forms.

Preprint ARTICLE | doi:10.20944/preprints202405.2048.v1

Design for an Orientation Algorithm of Ahrs Based on Gain Scheduling

Renhao Jin, Yu Wang

Subject: Engineering, Control And Systems Engineering Keywords: AHRS; gain-scheduled; madgwick algorithm; MEMS inertial sensor

Online: 31 May 2024 (03:28:33 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0081.v1

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Marian Kampik, Jerzy Roj, Łukasz Dróżdż

Subject: Computer Science And Mathematics, Signal Processing Keywords: measurement chain error model; uncertainty estimation; discrete wavelet transform

Online: 2 April 2024 (02:27:20 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0511.v1

The Application of Tsallis Entropy Based Self-Adaptive Algorithm for Multi-Threshold Image Segmentation

Kailong Zhang, Mingyue He, Lijie Dong, Congjie Ou

Subject: Engineering, Other Keywords: Tsallis Entropy; Long-range Correlations; Self-adaptive Algorithm; Multi-level Thresholding; Robustness

Online: 7 August 2024 (14:19:06 CEST)

Show abstract| Download PDF| Share

Preprint BRIEF REPORT | doi:10.20944/preprints202407.0761.v1

Viable Biological Materials or Organisms in Regulation (EU) 2017/745 on Medical Devices

Javier Morán, Alina Kilasoniya

Subject: Medicine And Pharmacology, Complementary And Alternative Medicine Keywords: viable biological materials; Regulation (EU) 2017/745; medical devices; microorganism inviability; regulatory compliance

Online: 9 July 2024 (13:10:12 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202110.0234.v1

An Economic Approach to Energy Budgets: How Many Resources Should Living Organisms Spare?

Arturo Tozzi

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: economics; ATP; energy budget; cellular activity; ageing; prebiotic

Online: 15 October 2021 (17:04:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0159.v1

Improving Video Segmentation by Fusing Depth Cues and the ViBe Algorithm

Xiaoqin Zhou, Xiaofeng Liu, Aimin Jiang, Bin Yan, Chenguang Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: object detection; background subtraction; video surveillance; Kinect sensor fusion

Online: 20 March 2017 (10:21:40 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202402.1677.v1

Global Genetic Algorithm for Automating and Optimizing Petroleum Well Deployment in Complex Reservoirs

Sonny Irawan, Dennis Delali Kwesi Wayo, Alfrendo Satyanaga, Jong Kim

Subject: Engineering, Chemical Engineering Keywords: Well deployment; Genetic Algorithms; CMG; Global Optimization; Reservoir

Online: 29 February 2024 (11:41:15 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0070.v1

Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Junhai Luo, Liying Fan

Subject: Engineering, Electrical And Electronic Engineering Keywords: Underwater sensor networks; synchronization-free; range-free; particle swarm optimization

Online: 13 March 2017 (16:41:00 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1410.v1

Compound Attitude Control Strategy for Reusable Launch Vehicle Based on Improved PSO Algorithm

Shunfu Yang, Lu Gan, Tianyi Wang, Enze Zhu, Ling Yang, Hu Chen

Subject: Engineering, Aerospace Engineering Keywords: Reusable launch vehicle; Attitude control; Compound control; Fuzzy PID; Improved PSO algorithm

Online: 22 May 2024 (08:13:02 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0987.v1

Does Athletes' Respiratory Muscle Strength Affect Max VO2 Kinetics?

Gökhan Deliceoğlu, Veli O. Çakır, Banu Kabak, Halil Ibrahim Ceylan, Raul Ioan Muntean, Valentina Ștefănică

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Respiratory; maximal inspiratory pressure; expiratory pressure; MaxVO2; athletes

Online: 18 March 2024 (09:39:18 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1257.v1

A New Alternating Suboptimal Dynamic Programming Algorithm with Applications for Feature Selection

David Podgorelec, Borut Žalik, Domen Mongus, Dino Vlahek

Subject: Computer Science And Mathematics, Computer Science Keywords: dynamic programming, suboptimal solution, feature selection, machine learning

Online: 20 May 2024 (09:40:02 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202101.0526.v1

Genome Features of Asaia sp. W12 Isolated from the Mosquito Anopheles stephensi Reveal Symbiotic Traits

Shicheng Chen, Ting Yu, Nicolas Terrapon, Bernard Henrissat, Edward Walker

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Asaia; paratransgenesis; symbiotic traits; Anopheles stephensi; genome features

Online: 26 January 2021 (08:19:00 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0622.v1

A Novel Energy Replenishment Algorithm to Increase Network performance of Rechargeable Wireless Sensor Network

Tariq Tariq, Zhu Wei, Kashif Naseer Qureshi, Muhammad Uzair, Adil Hussain, Muhammad Asif Khosa

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Wireless Recharging; Mobile Charger; Sensor Network; WSN

Online: 9 September 2024 (09:03:21 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0054.v1

Research on Fault Detection by Flow Sequence Algorithm with Deep Learning Model for Industrial Internet of Things

Dongfeng Lei, Liang Zhao, Dengfeng Chen

Subject: Engineering, Control And Systems Engineering Keywords: Industrial Internet of Things; Deep learning; Subsequence classification; Fault diagnosis

Online: 1 March 2024 (14:05:52 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0441.v1

Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection

Mohammad Ryiad Al-Eiadeh, Raneem Qaddoura, Mustafa Abdallah

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Feature Selection; Wrapper Feature Selection; Black Hole Algorithm; Cuckoo Search Algorithm; Correlation Functions; Transfer Function; Data Mining

Online: 8 May 2024 (15:26:26 CEST)

Show abstract| Download PDF| Share

High dimensional datasets are highly likely to have redundant, irrelevant, and noisy features that negatively affect the performance of the classification algorithms. Selecting the most relevant features and reducing the dimensions of datasets by removing the undesired features is a dimensional reduction technique called Feature Selection (FS). In this paper, we propose an FS approach based on the Black Hole Algorithms (BHO) with a mutation technique called MBHO. Generally, BHO contains two major phases. At the exploitation phase, a set of stars are modified based on some rule and according to some objective function, the best star is selected as the black hole which attracts other stars. Furthermore, when a star gets closer to the event horizon, it will be swallowed and a new one will be randomly generated in the search space which thus is the exploration phase. However, randomness may cause the algorithm to fall into the trap of local optima, and to overcome such complications, inversion mutation is used. Furthermore, we modify a widely utilized objective function in most of the proposed works for wrapper feature selection by combining two new terms that are based on the correlation among the selected subset of features and the features and the classification label. We also utilize a transfer function, known as the V2 transfer function, to convert continuous values into discrete ones to enhance search. We assess our approach via extensive evaluation experiments using fourteen benchmark datasets. We benchmark the performance of a wrapper FS approach called Binary Cuckoo Search (BCS), and three filter-based FS approaches (namely Mutual Information Maximisation (MIM), Joint Mutual Information (JMI), and minimum Redundancy Maximum Relevance (mRMR)). Our evaluation has shown that the proposed model is an effective approach for FS, in selecting better features that enhance the performance metrics on the classifiers. Thus, MBHO can be utilized as one alternative to the existing state-of-art-approaches. We release the source codes of our implementation for the community to build on with new methods and datasets.

Preprint ARTICLE | doi:10.20944/preprints202308.0937.v1

Challenges and Opportunities in One Health: Google Trends Search Data

Lauren Wisnieski, Karen Gruszynski, Vina Faulkner, Barbara Shock

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Google Trends; disease prediction; Lyme disease; Lyme; Big Data; One Health; negative binomial; mixed models; zoonotic disease; tick-borne disease

Online: 11 August 2023 (11:01:40 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ESSAY | doi:10.20944/preprints202012.0156.v1

Evidence-Based Management of Gout - A Systematic Search and Review

Md Abu Bakar Siddiq

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: gout; hyperuricemia; lesinurad; life style; prednisolone; uric acid; urate oxidase

Online: 7 December 2020 (13:10:24 CET)

Show abstract| Download PDF| Share

Gout is the most common form of inflammatory arthritis. Hyperuricaemia is the pre-requisite for gout and is influenced by variable modifiable and non-modifiable risk factors. Clinical features unique for gout are due to deposition of monosodium urate (MSU) crystal in articular and extra articular tissues. Among various treating agents, anti-inflammatory drugs and urate lowering therapies (ULT) are used widely and successfully, however, non-medicinal means are also effective in the disorder. In their updated guidelines, ACR (2012) and EULAR (2016) recommended both medicinal and non-medicinal approaches that could be used in treating gout, though some of the recommendations are based on lower level of evidence. Moreover, researchers’ continued effort in finding new gout managing agents appear promising, for example, role of Lesinurad in gout management (CLEAR1, CLEAR2). In this new synthesis the author is aimed to provide updated information on gout management based on a systematic review including published work within last ten years between 2008 and 2018 and for this purpose, using ‘clinical trials in gout management’ string, published worked searched in PubMed database from 1st September 2018 to 30 October 2018. Besides the recent ACR and EULAR evidence based management guidelines, the author reviewed another 91 (total 93) articles to make this new draft – 39 articles describe role of pharmacological agents and 54 describe different gout risks, pharmacokinetics/pharmacodynamics of ULT, association between raised sUA level and renal impairment, efficacy of non-pharmacological agents in reducing sUA. According to published work, anti-inflammatory agent is the most appropriate drug group in mitigating inflammatory symptoms of gout, though they often adversely affect over other vital 2 organs with impaired function. Besides ULT, uricase analogues are also found useful in non refractory gout. Since anti-inflammatory agents and ULT contraindicate in some clinical conditions, intra-articular steroid and or adrenocorticotropic hormone (ACTH) are appropriate alternatives instead. However, head-to-head comparison between different NSAIDs, NSAID and prednisolone, NSAID and colchicine are yet to perform. Use of combined anti-inflammatory preparations in gout is also based on lower level of evidence. Regarding effective maximum dose and long-standing impact of ULT on vital organs we are yet to reach a conclusion. Likewise, non-medicinal approaches are widely using in achieving target sUA level, though some of them are based on biased study outcomes and or study with inadequate power, requiring further analysis. Among non-pharmacological approaches, life-style modification, restriction of purine rich diets, avoidance of gout inciting agents are important, but inconclusive. Educating patients’ about diseases, risk factors, available treatment options and side effects from them are also important in terms of achieving sUA level, nevertheless too much counseling sometimes could be worthless.

Preprint ARTICLE | doi:10.20944/preprints202401.0056.v1

Optimization of Greedy Randomized Adaptive Search Procedure

Ahmed Tlili, Salim Chikhi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Mental representation; GRASP metaheuristic; optimization

Online: 2 January 2024 (09:34:17 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202108.0018.v1

Proximal Policy Optimization for Radiation Source Search

Philippe Proctor, Christof Teuscher, Adam Hecht, Marek Osiński

Subject: Physical Sciences, Radiation And Radiography Keywords: deep reinforcement learning; source search and localization; active search; gamma radiation; source parameter estimation; sequential decision making; non-convex environment}

Online: 2 August 2021 (11:14:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201608.0184.v1

Search for dynamical origin of social networks

Michail Zak

Subject: Computer Science And Mathematics, Computer Science Keywords: instability; attractors; randomness; quantum-classical hybrid

Online: 20 August 2016 (05:39:37 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.1948.v1

Machine Learning Meets Meta-heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis

Harikumar Rajaguru, Dinesh Chellappan

Subject: Engineering, Bioengineering Keywords: Classifiers; Bald Eagle Search Optimization; Red Deer Optimization; Diabetic Detection; Performance Analysis; Feature extraction.

Online: 27 June 2024 (13:53:21 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0082.v1

A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks

Fengjun Shang, Yi Jiang, Anping Xiong, Wen Su, Li He

Subject: Computer Science And Mathematics, Information Systems Keywords: WSN; RSSI; Voronoi diagram; vector similar degrees; Lagrange

Online: 16 November 2016 (13:10:52 CET)

Show abstract| Download PDF| Share

With the integrated development of the Internet, wireless sensor technology, cloud computing, and mobile Internet, there has been a lot of attention given to research about and applications of the Internet of Things. A Wireless Sensor Network (WSN) is one of the important information technologies in the Internet of Things; it integrates multi-technology to detect and gather information in a network environment by mutual cooperation, using a variety of methods to process and analyze data, implement awareness, and perform tests. This paper mainly researches the localization algorithm of sensor nodes in a wireless sensor network. Firstly, a multi-granularity region partition is proposed to divide the location region. In the range-based method, the RSSI (Received Signal Strength indicator, RSSI) is used to estimate distance. The optimal RSSI value is computed by the Gaussian fitting method. Furthermore, a Voronoi diagram is characterized by the use of dividing region. Rach anchor node is regarded as the center of each region; the whole position region is divided into several regions and the sub-region of neighboring nodes is combined into triangles while the unknown node is locked in the ultimate area. Secondly, the multi-granularity regional division and Lagrange multiplier method are used to calculate the final coordinates. Because nodes are influenced by many factors in the practical application, two kinds of positioning methods are designed: the unknown node is in the positioning unit or not. When the unknown node is on the side of the positioning unit, we use the method of vector similarity. Moreover, we use the centroid algorithm to calculate the ultimate coordinates of unknown node. When the unknown node is not on the side of the positioning unit, we establish a Lagrange equation containing the constraint condition to calculate the first coordinates. Furthermore, we use the Taylor expansion formula to correct the coordinates of the unknown node. In addition, this localization method has been validated by establishing the real environment.

Preprint COMMUNICATION | doi:10.20944/preprints202403.1754.v1

Promising Algorithm Addressing the Mechanism and Charac-teristic Curves of Insulated Gated Bipolar Transistor (IGBT)

Hsin-Chia Yang, Sung-Ching Chi, Pei-Jun Yang, Bo-Hao Huang

Subject: Physical Sciences, Applied Physics Keywords: IGBT; BCD; Breakdown Voltage; High Current Gain; Kink effects

Online: 28 March 2024 (13:35:51 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201607.0051.v1

Search for QPOs in the Light Curve of the Blazar OJ287: Preliminary Results from 2015/16 Observing Campaign

S. Zola, M. Valtonen, G. Bhatta, A. Goyal, B. Debski, A. Baran, J. Krzesinski, M. Siwak, S. Ciprini, A. Gopakumar, H. Jermak, K. Nilsson, D. Reichart, K. Matsumoto, K. Sadakane, K. Gazeas, M. Kidger, V. Piirola, F. Alicavus, K.S. Baliyan, A. Berdyugin, D. Boyd, M. Campas Torrent, F. Campos, J. Carrillo Gomez, D.B. Caton, V. Chavushyan, J. Dalessio, D. Dimitrov, M. Drozdz, A. Erdem, A. Escartin Perez, V. Fallah Ramazani, A.V. Filippenko, F. Garcia, F. Gomez Pinilla, M. Gopinathan, J.B. Haislip, J. Harmanen, G. Hurst, K.M. Ivarsen, M. Jelinek, A. Joshi, M. Kagitani, N. Kaur, N. Karaman, W.C. Keel, A.P. LaCluyze, B.C. Lee, E. Lindfors, J. Lozano De Haro, J.P. Moore, R. Naves Nogues, A.W. Neely, R.H. Nelson, W. Ogloza, S. Okano, J.C. Pandey, M. Perri, P. Pihajoki, G. Poyner, J. Provencal, T. Pursimo, A. Raj, R. Reinthal, S. Sadegi, T. Sakanoi, J.-L. Salto Gonzales, T. Schweyer, F.C. Soldan Alfaro, E. Sonbas, I. Steele, J.T. Stocke, J. Strobl, L.O. Takalo, T. Tomov, L. Tremosa Espasa, J.R. Valdes, J. Valero Perez, F. Verrecchia, J.R. Webb, M. Yoneda, M. Zejmo, W. Zheng, J. Telting, J. Saario, T. Reynolds, A. Kvammen, E. Gafton, R. Karjalainen, P. Blay

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies: active; BL Lacertae objects: individual (OJ 287); super massive black holes

Online: 18 July 2016 (10:46:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.1432.v1

Compressive Sensing-Based Spectral Inversion Algorithm and Its Application in Detailed Fault Characterization

Guoxu Shu, Xiaohong Meng, Lin Liao, Mengcheng Shu, Shengqiang Mu

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: compressive sensing; fault characterization; spectral inversion; coal seismic exploration technology

Online: 21 June 2024 (05:35:55 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202312.1594.v1

Research on the Construction of Digital Higher Education of China from the Perspective of Symbiotic Education

Shuguang Wu, Zhenning Yuan, Na Zhou

Subject: Social Sciences, Education Keywords: Symbiotic Education; Higher Education; Digitalization; Cultural Diversity; Sustainability

Online: 21 December 2023 (12:46:47 CET)

Show abstract| Download PDF| Supplementary Files| Share

In the context of inclusive education, digitalization in higher education is designed to promote the ideals of cultural diversity, social inclusivity, and sustainable development through technological means. This study explores the strategies and practices of digitalization in achieving inclusive education goals in higher education, aiming to provide theoretical and empirical foundations for education policymakers, teachers, and technology developers. This study adopts a mixed-methods research design, combining quantitative and qualitative data analysis to assess the current state of digitalization in higher education from various perspectives, particularly its effectiveness in advancing educational inclusivity. Through surveys, in-depth interviews, and case studies, data were collected from teachers, students, and administrative personnel to reveal opportunities and challenges in digital education resources and practices. The results show that while digitalization has improved the accessibility of educational resources, facilitated information sharing and cultural exchange, there are still numerous challenges, such as unequal technology access, insufficient cultural sensitivity in content, and issues related to the depth and quality of online interactions. Furthermore, the study identifies key factors supporting inclusive education, including cross-cultural curriculum design, teacher professional development, and students' critical use of digital tools. Finally, the paper presents a series of strategic recommendations, including the development of multicultural education platforms, strengthening teacher training, and building an inclusive digital environment. These recommendations aim to promote a more coordinated and inclusive higher education digital ecosystem that emphasizes not only technological innovation but also humanistic care and social responsibility. Through these measures, digitalization in higher education can better serve individual growth and comprehensive societal development.

Preprint ARTICLE | doi:10.20944/preprints202406.0290.v2

Optimal Design of I-PD and PI-D Industrial Controllers Based on Artificial Intelligence Algorithm

Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

Subject: Engineering, Control And Systems Engineering Keywords: optimal design; I-PD controller; PI-D controller; artificial intelligence algorithm; artificial immune system; industrial applications; multivariable systems

Online: 2 July 2024 (14:49:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.1698.v2

Efficient Solutions for Large-Scale Max-Cut Problems: A Hybrid Local Search Heuristic Approach and Comparative Analysis with Quantum Annealing

Haibo Wang, Bahram Alidaee, Lutfu Sagbansua

Subject: Business, Economics And Management, Other Keywords: hybrid heuristics; quantum annealing solver; max-cut

Online: 25 June 2024 (00:23:47 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.1219.v1

Improvement of Electric Fish Optimization Algorithm for Standstill Label Combined with Levy Flight Strategy

Wangzhou Luo, Hailong Wu, Jiegang Peng

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Electric Fish Optimization Algorithm; Meta-heuristic Algorithm; Levy Flight; Standstill Label; Local Optimum

Online: 16 September 2024 (10:53:31 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0157.v1

In Search of Easily Accessible and Reliable Malignancy Biomarkers in Liquid Biopsies: The Case of miRNAs in Extracellular Vesicles in the Plasma of Patients with Papillary Thyroid Cancer

Giuseppa D'Amico, Radha Santonocito, Godfrey Grech, Giuseppa Graceffa, Calogero Cipolla, Federics Scalia, Samuele Raccosta, Mauro Manno, Everly Conway de Macario, Alberto J. L. Macario, Francesco Cappello, Francesca Rappa, Celeste Caruso Bavisotto, Claudia Campanella

Subject: Biology And Life Sciences, Life Sciences Keywords: thyroid cancer; extracellular vesicles; microRNAs; cancer biomarkers; chaperone system; Hsp60; CCT; liquid biopsy

Online: 2 August 2024 (12:21:28 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202103.0523.v1

'Copper and Bronze in Art' and the Search for Rare Corrosion Products

Gerhard Eggert

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: basic copper(II) formate; ‘Black Spots’; chalconatronite; copper(II) hydroxide; copper sulfide; curly malachite; namuwite; sodium copper(II) formate; verdigris

Online: 22 March 2021 (11:50:06 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.1387.v1

Study on the Design of a New Three-Dimensional Seismic Isolation Bearing Based on Improved Genetic Algorithm for Bridge Engineering

Ying Sheng, Zhenchao Yang, Yu Meng, Bin Jia

Subject: Engineering, Civil Engineering Keywords: three-dimensional seismic isolation bearing; bridge engineering; sensitivity of the design parameters; improved genetic algorithm; good seismic isolation effect

Online: 18 September 2024 (11:12:51 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.1310.v1

An Improved Deadlock Detection and Resolution Algorithm for Distributed Computing Systems

Tarek Helmy

Subject: Computer Science And Mathematics, Computer Science Keywords: Distributed Computing Systems; Deadlock Detection

Online: 26 March 2024 (03:12:27 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.1747.v1

Predicting Treatment Outcomes in Patients with Drug-resistant Tuberculosis and HIV Co-infection Using a Supervised Machine Learning Algorithm

Mojisola Clara Hosu, Lindiwe Modest Faye, and Teke Apalata

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: DR-TB; DR-TB/HIV coinfection; treatment outcomes; machine learning; supervised learning algorithm

Online: 23 September 2024 (13:13:06 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1802.v1

A New Retrieval Algorithm of Fractional Snow over the Tibetan plateau Derived from AVH09C1

Hang Yin, Liyan Xu, Yihang Li

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Fractional snow cover; LTDR-AVH09C1; MODIS; Ground observations; the Tibetan Plateau

Online: 28 May 2024 (04:56:53 CEST)

Show abstract| Download PDF| Share

Snow cover products are primarily derived from the Moderate-resolution Imaging Spectrometer (MODIS) and Advanced Very High-Resolution Radiometer (AVHRR) datasets. MODIS achieves both snow/non-snow discrimination and snow cover fractional retrieval, while early AVHRR-based snow cover products only focused on snow/non-snow discrimination. The AVHRR Climate Data Record (AVHRR -CDR) provides a nearly 40-year global dataset that has a potential to fill a gap in long term snow cover fractional monitoring. Our study selects the Qinghai-Tibet Plateau as the experimental area, utilizing AVHRR-CDR surface reflectance data (AVH09C1) and calibrating with MODIS snow product MOD10A1. The snow cover percentage retrieval from the AVHRR dataset is performed using Surface reflectance at 0.64μm (SR1) and Surface reflectance at 0.86μm (SR2), along with a simulated Normalized Difference Snow Index (NDSI) model. Also, in order to detect the effects of land cover type and topography on snow inversion, we tested the accuracy of the algorithm with and without these influences, respectively (vanilla algorithm & improved algorithm). The accuracy of the AVHRR snow cover percentage data product is evaluated using MOD10A1、 ground snow-depth measurements and ERA5. Results indicate that the logic model based on NDSI has the best fitting effect, with R-square and RMSE values of 0.83 and 0.10, respectively. Meanwhile, the accuracy was improved after taking into account the effects of land cover type and topography. The model is validated using MOD10A1 snow-covered areas, showing snow cover area differences of less than 4% across 6 temporal phases. Improved algorithm results in better consistency with MOD10A1 than vanilla algorithm. Moreover, the RMSE reaches greater levels when the elevation is below 2,000 meters or above 6,000 meters, and is lower when the slope is between 16° and 20°. Using ground snow-depth measurements as ground truth, the multi-year recall rates are mostly above 0.7, with an average recall rate of 0.81. Results also show a high degree of consistency with ERA5. The validation results demonstrate that the AVHRR snow cover percentage remote sensing product proposed in this study exhibits high accuracy in the Tibetan Plateau region, also demonstrating that land cover type and topographic factors are important to the algorithm. Our study lays the foundation for the global snow cover percentage product based on AVHRR-CDR，furthermore lays a basic work for generating a long-term AVHRR-MODIS fractional snow cover dataset.

Preprint ARTICLE | doi:10.20944/preprints202408.1239.v1

Application of ALRW‐DDPG Algorithm on Offshore Oil‐Gas‐Water Separation Control

Xiaoyong He, Han Pang, Boying Liu, Yuqing Chen

Subject: Engineering, Energy And Fuel Technology Keywords: offshore oil‐gas production; ALRW‐DDPG algorithm; Three‐phase separator; liquid level control; slug flow

Online: 16 August 2024 (12:46:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.1891.v1

Research on Evolutionary Algorithm for Soybean Seedling and Weed Identification Driven by Computational Complexity

Shuyang Yan, Yaling Lu, Tianyi Li, Yi Rong, Zhen Huang, Zhigang Hu

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: soybean seedling weeds; weeds identification; data augmentation; computational complexity driven; evolutionary model; few-shot learning

Online: 27 August 2024 (11:41:45 CEST)

Show abstract| Download PDF| Share

Search Results

38904 articles found