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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)

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Preprint ARTICLE | doi:10.20944/preprints202011.0714.v1

A Multi-Objective Decision-Based Solution (MODM) for Facility Location-Allocation Problem Using Cuckoo Search and Genetic Algorithms

Amir Shimi, Mohammad Reza Ebrahimi Dishabi, Mohammad Abdollahi Azgomi

Subject: Engineering, Automotive Engineering Keywords: Location allocation problem; Cuckoo search algorithm; Automatic parking; MODM-based solution

Online: 30 November 2020 (10:53:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1520.v1

Sensor Systems for Measuring Force and Temperature with Fiber-Optic Bragg Gratings Embedded in Composite Materials

Aliya Kalizhanova, Ainur Kozbakova, Murat Kunelbayev, Zhalau Aitkulov, Anar Utegenova, Ulzhan Imanbekova

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: fiber optic Bragg sensor, composite material, force and temperature measurements, chirp, polymethyl methacrylate

Online: 21 June 2024 (11:44:00 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202001.0273.v1

The Theories of Relativity and Bergson's Philosophy of Duration and Simultaneity During and After Einstein's 1922 Visit to Paris

CS Unnikrishnan

Subject: Physical Sciences, Theoretical Physics Keywords: Einstein's relativity; Bergson's philosophy; Time; Simultaneity; Twin paradox; Universe; Cosmic gravity; Cosmic Relativity

Online: 23 January 2020 (16:50:02 CET)

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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)

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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)

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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/preprints201807.0126.v1

A Cuckoo Based Optimization Approach for Image Enhancement

Deepak Narang, Lalitesh Kumar, Prawendra Kumar

Subject: Engineering, Electrical And Electronic Engineering Keywords: image enhancement; cuckoo optimization; entropy and visual factor

Online: 9 July 2018 (05:07:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0071.v1

Testing A Conjecture On Quantum Electrodynamics

Christoph Schiller

Subject: Physical Sciences, Particle And Field Physics Keywords: quantum electrodynamics; electron mass; fine structure constant; strand conjecture; tangle model.

Online: 4 February 2022 (10:50:03 CET)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202406.2040.v1

The Physical and Logical Necessity to Modify The Definition of The SI Standard of Length, The Metre

CS Unnikrishnan

Subject: Physical Sciences, Applied Physics Keywords: the SI metre; metrology; Einstein’ s light hypothesis; two-way relative velocity; galilean propagation; GNSS

Online: 1 July 2024 (03:53:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1225.v1

Case Studies (CS) Method: Perspectives from Learning Plant Nutritional Biology with CS Applications

Gokhan Hacisalihoglu

Subject: Social Sciences, Education Keywords: teaching with case studies; active learning; STEM; improvement; student success; case method teaching

Online: 16 July 2024 (10:49:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0244.v1

A Decisive First Test and The Refutation of the Hypothesis of Quantum Gravity

CS Unnikrishnan

Subject: Physical Sciences, Theoretical Physics Keywords: quantum gravity; radiation quanta; gravitational waves; intrferometric detectors; sub-quantum energy

Online: 5 June 2024 (14:02:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201610.0002.v1

Removing Striping Noise from Cloudy Level 2 Sea Surface Temperature and Ocean Color Datasets

Brahim Boussidi, Ronan Fablet, Bertrand Chapron

Subject: Environmental And Earth Sciences, Oceanography Keywords: Destriping; Undecimated wavelet transform; Fourier filtering; Sea Surface Temperature; Ocean color

Online: 3 October 2016 (20:39:17 CEST)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202401.0711.v1

Energy Levels and Transition Data of Cs VI

Abid Husain, K. Haris, A. Tauheed

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: Atomic Spectra; Cesium; Energy Levels; Spectral Lines; Wavelengths; Transition Probabilities

Online: 9 January 2024 (09:21:47 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202402.1607.v1

Bioaerosol Exposure during Sorting of Municipal Solid, Commercial and Industrial Waste: Concentration Levels, Size Distribution, and Biodiversity of Airborne Fungal

Philippe Duquenne, Xavier Simon, Catherine Coulais, Véronique Koehler, Jodelle Degois, Brigitte Facon

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: airborne fungi; bioaerosol; household waste sorting; biodiversity; size distribution; ambient concentration

Online: 28 February 2024 (08:07:03 CET)

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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)

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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)

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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/preprints202408.0771.v1

Beyond Brainstorming: Design Thinking as a Catalyst for Transformation

Roberto Moraga-Díaz, Maria Laguna Fernandez

Subject: Business, Economics And Management, Business And Management Keywords: agile; innovation; lean; culture; Co-creation; Design Thinking; customer-centricity

Online: 12 August 2024 (09:28:51 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202109.0318.v1

From Maximal Force to the Field Equations of General Relativity

C Sivaram, Arun Kenath, Christoph Schiller

Subject: Physical Sciences, Space Science Keywords: General relativity, Maximal force, Maximal power, Cosmological constant, Planck curvature

Online: 17 September 2021 (15:07:34 CEST)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202404.0745.v1

Synthesis and Characterization of Polyaniline Emeraldine Salt (PANI-ES) Colloids Using Potato Starch as a Stabilizer, to Enhance the Physicochemical Properties and Processibility

Soufiane Boudjelida, Xue Li, Souad Djellali, Giampiero Chiappetta, Francesca Russo, Alberto Figoli, Mauro Carraro

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: starch; polyaniline; Stabilizer; Composites; Conductive Colloids

Online: 11 April 2024 (04:05:44 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202407.2161.v1

Plasma Gasification of a Simulated Low-Level Radioactive Waste: Co, Cs, Sr, and Ce Retention Efficiency

Juan Ariel Pullao, Franco Emmanuel Benedetto, Gian Franco Binetti Basterrechea, Leonardo Andrés Neira Poblete, Diana Carolina Lago, Miguel Oscar Prado

Subject: Environmental And Earth Sciences, Waste Management And Disposal Keywords: Waste plasma gasification; low-level radioactive waste; volume reduction; vitrification

Online: 26 July 2024 (11:56:31 CEST)

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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)

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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)

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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)

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Preprint CONCEPT PAPER | doi:10.20944/preprints201610.0076.v1

Ultraviolet Photo Catalytic Oxidation (UVPCO) Sensor for Air and Surface Sanitizers Using CS Amplifier

Pawan Whig, Syed Naseem Ahmad

Subject: Engineering, Electrical And Electronic Engineering Keywords: bio aerosol; Photo Catalytic Oxidation (PCO); hydroxyl; hydrogen peroxide; SPICE; surface sanitizer

Online: 19 October 2016 (10:02:08 CEST)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202307.0666.v1

CS-MRI Reconstruction Using an Improved GAN with Dilated-Residual Networks and Channel Attention Mechanism

Xia Li, Hui Zhang, Hao Yang, Tie-Qiang Li

Subject: Engineering, Bioengineering Keywords: Compressed sensing MRI; GAN; U-net; dilated-residual blocks; channel attention mechanism

Online: 11 July 2023 (10:23:45 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202008.0701.v1

Effect of Cu and Cs in the b-Mo2C System for CO2 Hydrogenation to Methanol

Ana Belén Dongil, Qi zhang, Laura Pastor-Pérez, Tomás Ramírez-Reina, Antonio Guerrero-Ruiz, Inmaculada Rodríguez-Ramos

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: carbon dioxide; molybdenum carbide; methanol; copper; alkali; dopant

Online: 31 August 2020 (05:03:06 CEST)

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

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

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

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

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

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

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

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

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

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

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

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

Preprint REVIEW | doi:10.20944/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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202307.0855.v1

Analysis and Implementation of a Frequency Synthesis Based on Dual Phase-Locked Loops in Cs Beam Clock

Guangkun Guo, Chao Li, Dong Hou, Ke Liu, Fuyu Sun, Shougang Zhang

Subject: Engineering, Electrical And Electronic Engineering Keywords: frequency synthesis; phase noise; phase settling time; stability analysis

Online: 13 July 2023 (05:25:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1098.v1

CS-Eval—A Concise Benchmark for Evaluating the Security Risks of Large Language Models

Yu Zhang, Yongbing Gao, Lidong Yang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Large language models (LLMs); security risks; security benchmark; Multi-Security Hazard Dataset (MSHD)

Online: 13 September 2024 (15:46:19 CEST)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202312.1671.v1

The Solid-Phase Transition of Carbapenem CS-023 Polymorphs and the Change of Helicity Observed in the Transition

Shinji Matsuura, Koichi Igarashi, Masayuki Azuma, Hiroshi Ooshima

Subject: Engineering, Chemical Engineering Keywords: antibiotics; carbapenem; pharmaceutical crystallization; polymorphism of carbapenem crystal; solid phase polymorphic transition; helicity change, over-absorption of water of anhydrous crystal

Online: 21 December 2023 (16:08:18 CET)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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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/preprints202403.0395.v1

The Sensitivity of Structure to Ionic Radius and Reaction Stoichiometry. A Crystallographic Study of Metal Coordination and Hydrogen Bonding in Barbiturate Complexes of All Five Alkali Metals Li–Cs

William Clegg, Gary S. Nichol

Subject: Chemistry And Materials Science, Other Keywords: crystal structure; alkali metals; barbituric acid; coordination; stoichiometry; bridging ligands; hydrogen bonding

Online: 8 March 2024 (01:53:36 CET)

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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)

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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)

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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/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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202407.1161.v1

Enhancing Smart City Connectivity: a Multi-Metric CNN-LSTM beamforming based Approach to Optimize Dynamic Source Routing in 6G Networks for MANETs and VANETs

Vincenzo Inzillo, David Garompolo, Carlo Giglio

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: CNN-LSTM; MANET; VANET; Beamforming; MU-MIMO; DSR; 802.11ax

Online: 15 July 2024 (11:33:53 CEST)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202403.0262.v1

Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach

Charbel Geryes AOUN, Noura MANSOUR, Fadi DORNAIKA, Loic LAGADEC

Subject: Computer Science And Mathematics, Computer Science Keywords: IIoUT; Smart Sensors; Smart Fusion Servers; Domain Specific Modeling Languages; ArchiMate; Enterprise Architecture; Marine Observatories; NS-3; IMS.

Online: 5 March 2024 (12:29:55 CET)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202306.2179.v1

Expression of Immune-Related and Inflammatory Markers and Their Prognostic Impact in Colorectal Cancer Patients

Sanghyun An, Soo-Ki Kim, Hye Youn Kwon, Cheol Su Kim, Hui-Jae Bang, Hyejin Do, BoRa Kim, Kwangmin Kim, Youngwan Kim

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Colorectal neoplasm; Biomarkers; Bioplex; Immune checkpoint proteins

Online: 30 June 2023 (07:18:45 CEST)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202401.1582.v1

Antimicrobial Potential of Extracts from Penicillium purpurogenum Isolated from Aquatic Environment in the Amazon and Identification of Citrinin Derivatives

Paulo AL Santiago, Sarah RS Da S. Santiago, Bruna R. De Lima, Edizon V. Lopes, Sergio M. Nunomura, Priscila F. De Aquino, Rita CS Nunomura

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Penicillium purpurogenum; secondary metabolites; citrinin; antimicrobial

Online: 22 January 2024 (10:45:44 CET)

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