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Preprint REVIEW | doi:10.20944/preprints202405.0385.v1

Statistical Considerations for the Design and Analysis of Pragmatic Trialsin Aging Research

Ashuin Kammar-García, Liliana Aline Fernández-Urrutia, Jorge Alberto Guevara-Díaz, Javier Mancilla-Galindo

Subject: Aging, Biology And Life Sciences Keywords: pragmatic clinical trials; aged; statistical analysis; geroscience; sample size; secondary data analysis

Online: 7 May 2024 (15:36:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0094.v1

High Repetition-Rate 2.3–2.7 µm Acousto-Optically Tuned Narrow-Line Laser System Comprising Two Master Oscillators and Power Amplifiers Based on Polycrystalline Cr2+:ZnSe with the 2.1 µm Ho3+:YAG Pulsed Pumping

Oleg Antipov, Ilya Eranov, Stanislav Balabanov, Anton Dobryinin, Yuri Getmanovskiy, Valeriy Sharkov, Nikolay Yudin

Subject: Optics And Photonics, Physical Sciences Keywords: Cr2+ -doped chalcogenides; Cr2+:ZnSe polycrystals; gain switched lasers; Ho3+:YAG laser pumping; wavelength tuning; acousto-optical tunable filter; narrow-linewidth and wide wavelength tuneability; high-repetition-rate high-average-power mid-IR laser operation

Online: 2 May 2024 (12:14:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1788.v1

Development of Aptamers for RNase Inactivation in Xtract-Free™ Sample Collection and Transport Medium

Luke Thomas Daum, John David Rodriguez, James P Chambers

Subject: Biology And Biotechnology, Biology And Life Sciences Keywords: Xtract-Fee™ medium; sample collection; qPCR; diagnostics; extraction-free detection; NAT; point of care; home-collect; self-collect; DNA aptamers; RNase; nucleases; 3rd generation specimen collection; AptaGuard

Online: 26 April 2024 (19:59:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1704.v1

Vision System for the Mars Sample Return Capture, Containment and Return System (CCRS)

Brent Jon Bos, David Donovan, John Capone, Chen Wang, Terra Hardwick, Dylan Bell, Yuqing Zhu, Robert Podgurski, Bashar Rizk, Ireneusz Orlowski, Rachel Edison, David Harvey, Brianna Dizzon, Lindsay Haseltine, Kristoffer Olsen, Chad Sheng, Robert Bousquet, Luan Vo, Georgi Georgiev, Kristen Washington, Michael Singer, Stefan Ioana, Anloc Le, Elena Georgieva, Michael Hackett, Michael Ravine, Michael Caplinger, Phillip Coulter, Erin Percy, Charles Torisky, Jean Lauenstein, Kaitlyn Ryder, Michael Campola, Dillon Johnstone, William J. Thomes, Richard G. Schnurr, John McCloskey, Eugenia DeMarco, Ellen Lee, Calinda Yew, Bo Yang, Mingyu Han, Bartosz Blonski

Subject: Aerospace Engineering, Engineering Keywords: Mars; cameras; sample return; space optics

Online: 26 April 2024 (09:33:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0741.v1

Exploitation of Bio Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Harikumar Rajaguru, Karthikamani R.

Subject: Engineering, Bioengineering Keywords: PCM; FCM; PFCM; Sample Entropy; GMM; SDC; AAO; SVM

Online: 10 April 2024 (13:23:06 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202403.0445.v2

Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces

Dev Desai

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Sample Size, Topology, Variables, Z, Prevalence, Precision

Online: 9 April 2024 (09:56:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0589.v1

Synthetic Image Generation using Conditional GAN Provided Single Sample Face Image

IQBAL MUHAMMAD ALI, Waqas Jadoon, Soo Kyun Kim

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Network (CNN); Single Sample Per Person (SSPP); Conditional Generative Adversarial Network (CGAN)

Online: 8 April 2024 (16:59:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0146.v1

Bayesian Inference for Multiple Datasets

Renata Retkute, William Thurston, Christopher A. Gilligan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: parameter estimation; adaptive multiple importance sampling; effective sample size; wind direction; pest invasion

Online: 2 April 2024 (07:17:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1554.v1

Computation of The Mann-Whitney Effect under Parametric Survival Copula Models

Kosuke Nakazono, Yu-Cheng Lin, Gen-Yih Liao, Ryuji Uozumi, Takeshi Emura

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: censoring; copula; Hand’s paradox; potential outcome; Mann-Whitney effect; stress-strength model; two-sample comparison; survival analysis; survival function; treatment effect

Online: 26 March 2024 (09:41:01 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.0921.v1

Glyphosate as Contaminant in Cereals: Chromatographic Methods for Its Determination. Discussion about Occurrence, Accumulation, Fate, Degradation, and Regulatory Status

Maurizio Masci, Roberto Caproni, Teresina Nevigato

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: glyphosate; analytical methods; sample preparation; liquid chromatography; gas chromatography; mass spectrometry; cereals; occurrence; accumulation mechanism; regulatory status

Online: 15 March 2024 (12:14:02 CET)

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The European Union's recent decision to renew the authorization for the use of glyphosate until 15 December 2033 stimulates the scientific discussion all around the world regarding its toxicity or otherwise for humans. Glyphosate is a chemical used by millions of tons in the last 50 years worldwide to drying weeds in cultivated fields, greenhouses, roadsides. Concern has been raised in many quarters about the possible presence in the food chain and the consequent adverse effects on health: both aspects that argue in favor of toxicity and those that instead may indicate limited toxicity of glyphosate are here discussed. The great debate that has been generated requires further investigations and field measurements to understand its fate once dispersed in the environment and its concentration in the food chain. Hence the need for validated analytical methods that are available to analysts in the field. In the present review, methods for the analytical determination of glyphosate and its main metabolite, AMPA, are discussed, with a specific focus on chromatographic techniques applied to cereal products. The experimental procedures are explained in any detail, including cleanup, derivatization, and instrumental conditions to give the laboratories involved enough information to proceed with the implementation of this line of analysis. The prevalent chromatographic methods used are LC-MS/MS, GC-MS/SIM, and GC-MS/MS but sufficient indications are also given to those laboratories that wish to use the simpler HPLC-FLD, HPLC-UV, GC-NPD or GC-FPD techniques for screening purposes. Concentrations from literature measured in wheat, corn, barley, rye, oats, soybean, and cereal-based foods are reported together with the regulatory status in various parts of the world and the accumulation mechanism. As for the accumulation in cereals, available data show that glyphosate tends to accumulate more in wholemeal flours than in refined ones, that its concentration in the product strictly depends on the treatment period (the closer it is to the time of harvesting, the higher the concentration) and that in cold climates the herbicide tends to persist in the soil for a long time.

Preprint ARTICLE | doi:10.20944/preprints202403.0625.v1

No Evidence Of Sensory Neuropathy In A Traditional Mouse Model Of Idiopathic Parkinson’s Disease

Mahvish Faisal, Anna Rusetskaya, Liis Vali, Pille Taba, Ave Minajeva, Miriam A Hickey

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Heat sensation; cold sensation; touch sensation; sample size; repeated testing; unbiased stereology; motor coordination

Online: 11 March 2024 (11:31:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0489.v1

Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market

Feier Chen, Xiaofeng Liang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Tanker freight rate; Multifractal detrended fluctuation analysis; Multifractal detrending moving average; Temporal correlations; Finite size effect; Complexity Transformation

Online: 8 March 2024 (04:50:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0088.v1

Disparities and outcomes in the first and second year of the pandemic on events of acute myocardial infarction in COVID-19 patient

Jasninder Dhaliwal, Manraj S Sekhon, Arush Rajotia, Ashujot K Dang, Prabh Partap Singh, Hemamalini Sakthivel, Raheel Ahmed, Renuka Verma, Kamleshun Ramphul, Prabhdeep S Sethi

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: COVID-19; Cardiovascular complications; national inpatient sample; United States; mortality; epidemiology

Online: 4 March 2024 (09:39:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0260.v2

Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method

Bernard Stanisław TWARÓG

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Shannon entropy; bootstrap method; GPCC data; NOAA data; monthly precipitation; average temperature; climate trends; Mann Kendall test; Pettitt test

Online: 1 March 2024 (05:45:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1150.v1

Influence of Workpiece Submerging Velocity on Current and Power in Plasma Electrolytic Polishing

Joško Valentinčič, Henning Zeidler, Toni Böttger, Marko Jerman

Subject: Engineering, Mechanical Engineering Keywords: plasma electrolytic polishing (PeP); peak current; average power; process initialisation

Online: 20 February 2024 (14:32:01 CET)

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Preprint REVIEW | doi:10.20944/preprints202401.1268.v2

Limits of Detection Analysis of Advanced Technologies for Bacterial Detection in Food Samples: Review & Future Perspective

Xinyi Zhao, Abhijnan Bhat, Christine O’Connor, James Curtin, Baljit Singh, Furong Tian

Subject: Biology And Life Sciences, Food Science And Technology Keywords: limit of detection; bacterial detection; food sample; LFIA; PCR; electrochemical; multiplexing; food safety

Online: 20 February 2024 (06:30:15 CET)

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Foodborne illnesses can be infectious and dangerous and most of them are caused by bacteria. Some types of common food-related bacteria exist widely in nature and pose a serious threat to both humans and animals, and can cause poisoning, diseases, disabilities and even death. Rapid, reliable and cost-effective methods for bacteria detection are of paramount importance in food-safety and environmental monitoring. Polymerase chain reaction (PCR), lateral flow immunochromatographic assay (LFIA) and electrochemical method have been widely used in food-safety and environmental monitoring. In this paper, the recent developments (2013-2023) covering PCR, LFIA and electrochemical method for various bacteria detection (Salmonella, Listeria, Campylobacter, Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli)) considering different foods types, analytical performances and the reported limit of detection (LOD) are discussed. It is found that the bacteria type and food sample type contribute significantly to the analytical performance and LOD. Detection by LFIA has higher average LOD (24 CFU/ml) than detection by electrochemical method (12 CFU/ml) and PCR (6 CFU/ml). Salmonella and E. coli in the Pseudomonadota domain usually have low LODs. LODs are usually lower for detection in fish and eggs. LFIA with gold and iron nanoparticles are prominent in the majority of articles of 26 CFU/ml and 12 CFU/ml respectively. Electrochemical method reveals that the average LOD is highest for cyclic voltammetry (CV) of 18 CFU/ml), followed by electrochemical impedance spectroscopy (EIS) of 12 CFU/ml and differential pulse voltammetry (DPV) of 8 CFU/ml. LOD usually decreases when replicate number increases until it remain unchanged. Exponential relations with (R²>0.95) between LOD of Listeria in milk by LFIA and electrochemical method with replicate number have been obtained. Finally, the review discusses the challenges and future perspectives (including the role of nanomaterials/advanced materials) to improve the analytical performance for bacterial detection.

Preprint ARTICLE | doi:10.20944/preprints202402.0310.v1

Helicopter Planet Gear Rim Crack Diagnosis and Trending Using Cepstrum Editing Enhanced with Deconvolution

Nader Sawalhi, Wenyi Wang, David Blunt

Subject: Engineering, Aerospace Engineering Keywords: Planet Gear; Rim Crack; Cepstrum Editing; Liftering; Minimum Entropy Deconvolution (MED); Signal Synchronous Average (SSA)

Online: 6 February 2024 (09:18:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0013.v2

The Revised Schrödinger Equation as a Solution of Measurement Paradox: A Unified Model of the U-procedure and R-procedure

Yingrui Yang

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: The measurement problem; U-R procedures; the Yes/No type measurement; stochastic sampling; sample phase; Born probability

Online: 5 February 2024 (11:00:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1104.v1

Impact of COVID-19 Pandemic on Cardiovascular Healthcare in Croatia: A Comprehensive Nationwide Survey

Josip Lukenda, Josip Andelo Borovac

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: cardiology services; Croatia; COVID-19; pandemic; healthcare; national sample; interventional cardiology; hospitals; admissions; outpatient

Online: 15 January 2024 (08:09:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0296.v1

Microstructure and Unusual Ferromagnetism of Epitaxial SnO₂ Films Heavily Implanted with Co Ions

Rustam I. Khaibullin, Amir I. Gumarov, Iskander R. Vakhitov, Andrey A. Sukhanov, Nikolay M. Lyadov, Airat G. Kiiamov, Dilyara M. Kuzina, Valery V. Bazarov, Almaz L. Zinnatullin

Subject: Physical Sciences, Applied Physics Keywords: cobalt implantation; tin dioxide; microstructure; ferromagnetism; scanning electron microscopy; X-ray diffraction; X-ray photoelectron spectroscopy; vibrating sample magnetometry; ferromagnetic resonance; spintronics

Online: 4 January 2024 (07:05:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2166.v1

The Physicochemical Method Uses Industrial Leftover Hemp Fibre Cellulose to Make Micron-Sized Hemp Powder

Sarker Md Shamim, Yonghe Huan, Linli Gan, Shangyong Zhang

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: leftover hemp fibre recycling process, chemical treatment with cellulose, making a micron-sized powder, average particle size

Online: 28 December 2023 (09:57:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1545.v1

Application of Micro-Tubing Reeling System to Serial Femtosecond Crystallography

Jihan Kim, Sehan Park, Yunje Cho, Jaehyun Park

Subject: Biology And Life Sciences, Biophysics Keywords: SFX; reeling; sample delivery; lysozyme; PAL-XFEL

Online: 20 December 2023 (10:56:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1496.v1

Improved Dynamic Performance of Average-Value Modelled Active Front-End Rectifiers

Mohsen Ebadpour

Subject: Engineering, Electrical And Electronic Engineering Keywords: Active front-end rectifier; average-value model; switching element model; dead-time effect; voltage-oriented control.

Online: 20 December 2023 (05:24:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1732.v2

A Distance Based Two-Sample Test of Means Difference for Multivariate Datasets

Alexander Novoselsky, Eugene Kagan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: multivariate two-sample problem; multivariate means test; distance-based statistic; two-sample Kolmogorov-Smirnov test

Online: 14 December 2023 (09:02:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0427.v1

Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis

Vijaya Krishna Kanaparthi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Expected Events; Equally Weighted Allocation; Markowitz Asset Allocation; Out-of-Sample Events

Online: 6 December 2023 (15:38:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0190.v1

Real-Time 2D Orthomosaic Mapping from Drone-Captured Images Using Feature-Based Sequential Image Registration

Se-Yun Hwang, Jang Hyun Lee, Chang Su Ha, Minuk Yang, Jae Ho Choi

Subject: Engineering, Architecture, Building And Construction Keywords: two-dimensional (2D) orthomosaic; drone video processing; real-time image registration; sequential registration; scale-invariant feature transform (SIFT); fast library for approximate nearest neighbors (FLANN); random sample consensus (RANSAC)

Online: 4 December 2023 (11:14:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1797.v1

Variability of Wood Basic Density and Other Parameters of Trees on a 45-Year-Old Plantation of Scots Pine (Pinus sylvestris L.)

Evgenii Sharapov, Yury Demakov, Aleksandr Korolev

Subject: Biology And Life Sciences, Forestry Keywords: core sample; drilling resistance; moisture content; nondestructive testing; initial plantation density; ultrasound velocity

Online: 28 November 2023 (10:08:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1654.v1

Experimental Investigation of Liquid Holdup in a Co-Current Gas Liquid Upflow Moving Packed Bed Reactor with Porous Catalyst Using Gamma Ray Densitometry

Ali Toukan, Ahmed Jasim, Vineet Alexander, Hamza AlBazzaz, Muthanna Al-Dahhan

Subject: Engineering, Chemical Engineering Keywords: upflow moving packed bed reactor; line average liquid holdup; gamma ray densitometry; porous catalyst

Online: 27 November 2023 (10:20:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0976.v1

Causal Role of Immune Cells in Prostate Cancer: A Mendelian Randomization Study

Jiabao Yin, Dawei Ni, Rong Li, Junhua Xi, Can Wei, Yanbin Zhang

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: ; immune cells; prostate cancer; immunophenotype; mendelian randomization; two sample

Online: 15 November 2023 (10:36:55 CET)

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Background：Increasingly, epidemiological surveys and experimental research findings indicate the involvement of immune cells in the onset and progression of prostate cancer. However, it remains unclear whether the relationship between specific immune cell types and prostate cancer is causal or influenced by bias. Through a two-sample Mendelian randomization design, our study aims to uncover the association between different immune cells and the risk of prostate cancer.Methods：A comprehensive study was conducted to investigate the association between immunophenotypes and prostate cancer risk. The study included a total of 731 immunophenotypes as potential exposure factors and analyzed data from 182,625 individuals of European ancestry from the UK Biobank. A screening of 12,097,504 single nucleotide polymorphisms (SNPs) was performed. The main analysis utilized the two-sample Mendelian randomization method with inverse variance weighting (IVW). Additionally, multiple analysis methods were combined, and various tests were conducted to assess heterogeneity and pleiotropy.Results：The resulting study showed a causal relationship between a total of 34 immune phenotypes and prostate cancer. Among them, the four immune phenotypes of CD62L- DC AC, CD19 on sw mem, FSC-A on plasmacytoid DC and HLA DR on monocyte simultaneously meet three or more statistical methods, suggesting a significant causal relationship with prostate cancer. Additionally, among the 34 immunophenotypes, CD28-CD8dim AC was shown to be positive in reverse Mendelian randomization. Most of these cell phenotypes have been reported to be potentially associated with prostate cancer.Conclusions：Our study demonstrates a causal link between immune cells and prostate cancer risk. Filled in the possible roles of all current immune cell pathways in the development and progression of prostate cancer. The next step is to verify the content and influencing mechanism of these immune phenotypes in cancer cells and adjacent cells through experiments, so as to provide new ideas and methods for the prevention and treatment of prostate cancer.

Preprint REVIEW | doi:10.20944/preprints202311.0183.v1

Polarity of Organic Solvent/Water Mixtures Measured with Reichardt’s B30 and Related Solvatochromic Probes – a Critical Review

Stefan Spange

Subject: Physical Sciences, Chemical Physics Keywords: Reichardts dye, solvatochromism; solvent mixtures; refractive index; solvent composition; average molar concentration

Online: 3 November 2023 (01:33:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1371.v1

Comparative Analysis of Integrated Filtering Method Using UWB Localization in Indoor Environments

Rahul Ranjan, Donggyu Shin, Yoonsik Jung, Sanghyun Kim, Jong-Hwan Yun, Chang-Hyun Kim, Seung-jae Lee, Joongeup Kye

Subject: Engineering, Other Keywords: Ultra-Wideband (UWB); Average Filter (AVG); Kalman Filter (KF); Extended Kalman Filter (EKF); Robot Operating System (ROS); LiDAR; Robot Navigation

Online: 23 October 2023 (09:43:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0985.v1

Generalized Partially Functional Linear Model with Unknown Link Function

Weiwei Xiao, Songxuan Li, Haiyan Liu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: functional data analysis; unknown link function; generalized functional linear model average life expectancy

Online: 16 October 2023 (16:50:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1990.v1

Effects of the Use of a Passive Lumbar Exoskeleton in Muscle under Laboratory Conditions

Sofía Iranzo, Juan Manuel Belda Lois, Jose Luis Martinez-de-Juan, Gema Prats-Boluda

Subject: Engineering, Bioengineering Keywords: muscle interaction; passive industrial exoskeleton; electromyography; mutual information; multivariate sample entropy; Granger Causality

Online: 28 September 2023 (10:09:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1623.v1

Refined Equivalent Modeling Method for Mixed Wind Farms Based on Small Sample Data

Qianlong Zhu, Wenjing Xiong, Haijiao Wang, Xiaoqiang Jin

Subject: Engineering, Electrical And Electronic Engineering Keywords: Mixed wind farm; refined equivalent modeling; artificial intelligence technology; small sample data; equivalent node model

Online: 25 September 2023 (08:32:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1367.v1

Investigation on Crack Repairing Technique to Delay Fracture Initiation of Steel Members Subjected to Low Cycle Fatigue

S. Abeygunasekara, J.C.P.H Gamage, S Fawzia

Subject: Engineering, Civil Engineering Keywords: steel members; crack stop hole (CSH); CHS/CFRP hybrid composite; low cycle fatigue; average tensile strength

Online: 20 September 2023 (10:49:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.0505.v1

How Can We Compare CI Systems across Manufacturers? A Scoping Review of Recent Literature

Elinor Tzvi-Minker, Andreas Keck

Subject: Medicine And Pharmacology, Otolaryngology Keywords: cochlear implant; patient-reported outcomes; pure tone average; speech in noise; music perception

Online: 7 September 2023 (11:22:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1536.v2

Non-invasive Multiregional Tumor Sampling Using Magnetic Nanoparticle-Loaded Macrophages

Michael Renteln

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Multiregional sequencing; multi-sample sequencing; targeted cancer therapy; OVERCOME; macrophage magnetotaxis

Online: 7 September 2023 (02:54:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0043.v2

Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences

Bernard Stanislaw TWARÓG

Subject: Environmental And Earth Sciences, Environmental Science Keywords: polarisation of climatic phenomena; GPCC data; NOAA data; monthly precipitation; average temperature; climate trends; Mann Kendall test; Pettitt test

Online: 29 August 2023 (04:06:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1378.v1

ASISO: A Robust and Stable Data Synthesis Method to Optimize Samples

Yukun Du, Yitao Cai, Xiao Jin, Hongxia Wang, Yao Li, Min Lu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: data synthesis; unknown noise; interpolation; sample optimization; robust

Online: 18 August 2023 (12:00:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1303.v1

A Posterior p-Value for Homogeneity Testing of the Three Sample Problem

Yufan Wang, Xingzhong Xu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: three sample problem; homogeneity test; bernstein-von Mises theorem; posterior p-value

Online: 18 August 2023 (08:17:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0859.v1

The Robustness of the cm-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates

Dmitry Efrosinin, Natalia Stepanova, Janos Sztrik

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Queueing system; cm-rule; scheduling problem; static policy; average cost

Online: 11 August 2023 (09:52:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0466.v1

Expanding the Analytical Toolbox: Developing New Peptide Map Methods to Fully Characterize the Proteolysis-resistant Single-domain Antibody New Modality

Y Diana Liu, Michelle Irwin Beardsley, Feng Yang

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Biopharmaceuticals; drug substances; sample preparation; mass spectrometry

Online: 7 August 2023 (10:01:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0714.v1

Foundational Effects of Organizational Climate on Perceived Safety Climate: A Multiple Mediation Model

Yuzhong Shen, Yadi Li, Chuanjing Ju, Hassan Ashraf, Zhen Hu, Changquan He, Shoeb Ahmed Memon

Subject: Social Sciences, Safety Research Keywords: Organizational climate; Safety climate; Multiple mediation; Construction personnel; Random sample

Online: 12 July 2023 (03:06:04 CEST)

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Organizational climate is the ascribed psychological meanings and significance associated with the procedures, policies and practices that are recognized and rewarded in the workplace, and hence mediates the effects of environmental stimuli on individuals’ response. Safety climate is a specific organizational climate, i.e., organizational climate for safety. Previous research claimed that organizational climate provides foundation for safety climate, but without elaboration on the foundational mechanisms. This paper attempts to fill up this knowledge gap. As organizational climate is a multi-dimensional phenomenon, this paper chooses two dimensions, i.e., perceived organizational support (POS) and participative decision-making (PaDM), for illustrative purposes. Drawing on an interactive approach to forming climate perceptions, this paper introduces two interactive constructs, i.e., leader-member exchange (LMX) and team member exchange (TMX), and establishes a multiple mediation model depicting the foundational effect of organizational climate on safety climate. A random sample of Hong Kong based construction personnel is used to validate the model. The results show that both POS and PaDM are positively associated with perceived safety climate, both LMX and TMX fully mediate the effect of PaDM on safety climate, and only LMX partially mediates the effect of POS on safety climate. This study sheds light on the foundational effects of organizational climate on safety climate. POS can improve the quality of reciprocal exchange about safety matters between construction personnel and their supervisors, and hence raise construction personnel’s awareness of the priority of safety. PaDM can improve the quality of reciprocal exchange about safety matters vertically and horizontally, and hence have construction personnel aware the importance of safety. In practice, this paper suggests that project managers timely recognize and reward construction personnel’s contribution, genuinely cares about their well-being, and take their suggestions seriously in making decisions. In this way, the quality of both vertical and horizontal exchange about safety matters improves, and a sound and positive safety climate ensues.

Preprint ARTICLE | doi:10.20944/preprints202307.0581.v1

Feature Selection with Weighted Ensemble Ranking for Improved Classification Performance on the CSE-CIC-IDS2018 Dataset

László Göcs, Zsolt Csaba Johanyák

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: feature selection; taguchi-method; weighted average; classificaton; ensemble

Online: 10 July 2023 (09:39:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0543.v1

Preferential Tissue Sites of Different Cancer-risk Groups of Human Papillomaviruses

Mitsuaki Okodo, Kaori Okayama, Toshiyuki Sasagawa, Koji Teruya, Rei Settsu, Shuichi Mizuno, Yasuyoshi Ishii, Mizue Oda

Subject: Biology And Life Sciences, Virology Keywords: human papillomavirus; tropism; contamination; cervical sample; vaginal sample

Online: 10 July 2023 (08:31:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0047.v1

Effect of Macroeconomic Dynamics on Bank Asset Quality under Different Market Conditions: Evidence from Ghana

Richard Apau, Athenia Sibindi

Subject: Business, Economics And Management, Finance Keywords: bank asset quality; real GDP; inflation; average lending rate; real exchange rate; changing market conditions

Online: 3 July 2023 (12:54:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1523.v1

A/D Conversion with Oversample and Average Based Precision Improvement

Gilberto Mendes, Luis Miguel Pires

Subject: Engineering, Electrical And Electronic Engineering Keywords: oversample; average; microcontroller; thermistor; low-cost

Online: 21 June 2023 (10:18:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1319.v1

Label-Free Analysis of Urine Samples by In-Flow Digital Holographic Microscopy

Lucia Gigli, Nicoleta Braidotti, Maria Augusta do R.F.B. Lima, Catalin Ciubotaru, Dan Cojoc

Subject: Physical Sciences, Biophysics Keywords: urine analysis; digital holographic microscopy bacteria detection; urinary tract infection; biofluid sample screening

Online: 19 June 2023 (08:24:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0954.v1

Bayes Estimation For The Rayleigh Weibull Distribution Based On Progressive Type-II Censored Samples For Cancer Data In Medicine

Neriman Akdam

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Rayleigh Weibull distribution; Progressive type-II censored sample; Bayes estimator; approximate Bayes estimator; Bootstarp intervals; Lindley’s approximation; Tierney-Kadane’s approximation; Squared-error loss function; Monte Carlo simulation

Online: 13 June 2023 (15:53:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0679.v1

Developing Prediction Models for Solar Photovoltaic Energy Generation Using GBM

Yoo-Jung Kim, Na-Hyeong Kim, So-Yeon Park, Jin-Young Kim, Chang-Ki Kim, Myeong-Chan Oh, Hyun-Goo Kim, Yung-Seop Lee

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: renewable energy; solar photovoltaic energy generation; prediction; gradient boosting machine (GBM); gradient boosting regressor (GBR), time series analysis; autoregressive integrated moving average (ARIMA); normalized mean absolute error (nMAE)

Online: 9 June 2023 (07:20:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0443.v1

Legal Implications of Smart Grid Energy Management on System: Sustainability, Privacy, Security, and Regulatory Challenges

Yunyun Wen, Dandan Xu, Bahram Dehghan

Subject: Engineering, Other Keywords: Energy management; smart grid; sustainability; heuristic optimization algorithm; peak to average rations; user comfort

Online: 6 June 2023 (10:19:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0388.v1

Pattern-Multiplicative Average of Nonnegative Matrices Revisited: Eigenvalue Approximation Is the Best of Versatile Optimization Tools

Dmitrii O. Logofet

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: matrix population model; Androsace albana; life cycle graph; population projection matrix; matrix average; constrained optimization; linear programming; exact solution

Online: 6 June 2023 (05:44:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0384.v1

How South Africa Used National Cycle Threshold (Ct) Values To Continuously Monitor SARS-CoV-2 Laboratory Test Quality

Lesley Erica Scott, Nei-yaun Hsiao, Graeme Dor, Lucia Hans, Puleng Marokane, Pedro Da Silva, Wolfgang Preiser, Heleen Vreede, Jonathan Tsoka, Koleka Mlisana, Wendy Susan Stevens

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: SARS-CoV-2; COVID19; Laboratory diagnostics; Cycle threshold; PCR platforms; median Ct; moving average; variants; continuous quality monitoring

Online: 6 June 2023 (05:35:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0340.v1

Estimation of Height Changes of Continuous GNSS Stations in the Eastern Anatolia Region During the Seasonal Variation

Nihal Tekin Ünlütürk, Uğur Doğan

Subject: Engineering, Other Keywords: GNSS height component; GNSS time series; velocity estimation; meteorological parameters; simple linear regression; autoregressive moving average

Online: 5 June 2023 (14:58:42 CEST)

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It is common knowledge that estimating the height component of GNSS stations in general is much more problematic than estimating the horizontal position. Many different effects, such as tectonic signals, non-tectonic signals, atmospheric delay, noise, etc., are known to affect the height component of GNSS stations more than the horizontal component. However, the height component of GNSS stations is still poorly estimated. In this study, the height time series of 37 continuous GNSS stations covering the 2014–2019 date range is used from the Turkish National Permanent GNSS Network-Active (TUSAGA-Active). Since it is easier to interpret the effects of the height component due to its topographic features and seasonal changes being more effective than in the rest of the country, stations were chosen in the Eastern Anatolia region of Turkey. The daily coordinates of the GNSS stations were obtained as a result of the GAMIT/GLOBK software solution. By applying time series analysis to the daily coordinate values of the stations, statistically significant trends, periodic and stochastic components of the stations were determined. As a result of the analysis, the vertical velocities of the GNSS stations and the standard deviations of the vertical velocities were determined. Furthermore, when the height components of continuous GNSS stations were examined, it was seen that there were seasonal effects, and it was investigated whether the height components were related to meteorological parameters. For that, simple linear regression analysis was performed to determine how dependent the height components of the continuous GNSS stations were on meteorological parameters. As a result of the analysis, the height components of the continuous GNSS stations are dependent on meteorological parameters such as temperature, pressure, relative humidity, wind speed, and precipitation. In addition, height component time series analysis of continuous GNSS stations was performed by using Autoregressive Moving Average (ARMA) models from linear time series methods. As a result of the study, the performance of the ARMA modeling results again indicated the dependence of the height component of the continuous GNSS stations on the meteorological parameters.

Preprint ARTICLE | doi:10.20944/preprints202306.0085.v1

Predicting Groundwater Levels at Colorado State of USA Using ARIMA and ANN Models

Hifsa Ghafoor, Rahila Umer, Jan Muhammad, Zahid Rauf, Fatima Ali, Muhammad Naeem Shahwani

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Groundwater Level; Auto-Regressive Integrated Moving Average; Artificial Neural Network; Data-Driven Models

Online: 1 June 2023 (12:13:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1774.v1

Enhancing Energy Power Quality in Low Voltage Networks integrating Renewable Energy Generation with High Intermittency: A Case of Study in a Microgrid located in a High-Altitude Equatorial City

Edisson Villa-Ávila, Paul Arévalo, Roque Aguado, Danny Ochoa-Correa, Vinicio Iñiguez-Morán, Francisco Jurado, Marcos Tostado-Véliz

Subject: Engineering, Electrical And Electronic Engineering Keywords: power smoothing; photovoltaic generation system; low pass filter; moving average; monitoring control; microgrid

Online: 25 May 2023 (08:45:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0872.v1

Probability Distribution-Guided Adversarial Sample Attacks

Hongying Li, Miaomiao Yu, Xiaofei Li, Jun Zhang, Shuohao Li, Jun Lei, Hairong Huang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Probability Distribution; Adversarial Sample; Transferability; Interpretability

Online: 12 May 2023 (03:13:00 CEST)

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In recent years, with the rapid development of technology, artificial intelligence(AI) security issues represented by adversarial sample attack have aroused widespread concern in society. Adversarial samples are often generated by surrogate models and then transfer to attack the target model, and most AI models in real-world scenarios belong to black boxes, thus transferability becomes a key factor to measure the quality of adversarial samples. The traditional method relies on the decision boundary of the classifier and takes the boundary crossing as the only judgment metric without considering the probability distribution of the sample itself, which results in an irregular way of adding perturbations to the adversarial sample, an unclear path of generation, and a lack of transferability and interpretability. In the probabilistic generative model, after learning the probability distribution of the samples, a random term can be added to the sampling to gradually transform the noise into a new independent and identically distributed sample. Inspired by this idea, we believe that by removing the random term, the adversarial sample generation process can be regarded as static sampling of the probabilistic generative model, which guides the adversarial samples out of the original probability distribution and into the target probability distribution, and helps to improve transferability and interpretability. Therefore, we propose a Score Matching-Based Attack(SMBA) method to perform the adversarial sample attacks by manipulating the probability distribution of the samples, which can show good transferability in the face of different datasets and models, and give reasonable explanations from the perspective of mathematical theory and feature space. In conclusion, our research establishes a bridge between probabilistic generative models and adversarial samples, provides a new entry angle for the study of adversarial samples, and brings new thinking to AI security.

Preprint ARTICLE | doi:10.20944/preprints202304.1111.v1

Simple, Fast and Convenient Magnetic Bead-based Sample Preparation for Detecting Viruses via Raman-Spectroscopy

Susanne Pahlow, Marie Richard-Lacroix, Franziska Hornung, Nilay Koese-Vogel, Thomas G. Mayerhoefer, Julian Hniopek, Oleg Ryabchykov, Thomas Bocklitz, Karina Weber, Ralf Ehricht, Bettina Löffler, Stefanie Deinhardt-Emmer, Juergen Popp

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: viruses; SARS-CoV-2; Raman spectroscopy; magnetic beads; sample preparation

Online: 28 April 2023 (04:46:10 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202302.0367.v9

Defining the Most Generalized, Natural Extension of the Expected Value on Measurable Functions

Bharath Krishnan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Prevalence; Expected Value; Uniform Measure; Measure theory; Uniform Cover; Entropy; Sample; Linear; Superlinear; Choice Function; Bernard's Paradox; Pseudo-random

Online: 6 April 2023 (10:04:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0785.v1

Wind Speed Prediction Based VMD-BLS and Error Compensation

Xuguo Jiao, Daoyuan Zhang, Dongran Song, Dongdong Mu, Yanbing Tian, Haotian Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Wind Speed Prediction; Variational Mode Decomposition (VMD); Autoregressive Moving Average(ARMA); Broad Learning System (BLS); Error Compensation

Online: 23 April 2023 (07:36:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0528.v1

Sample Delivery Systems for Serial Femtosecond Crystallography at PAL-XFEL

Jaehyun Park, Ki Hyun Nam

Subject: Biology And Life Sciences, Biophysics Keywords: serial femtosecond crystallography; X-ray free electron laser; sample delivery; injector; fixed-target scanning; hybrid method

Online: 19 April 2023 (03:22:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0380.v1

Assessing the Polarization of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences

Bernard Stanislaw Twaróg

Subject: Social Sciences, Other Keywords: polarization of climatic phenomena; GPCC data; NOAA data; monthly precipitation; average temperature; climate trends; Mann Kendall test; Pettitt test

Online: 17 April 2023 (03:16:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0374.v2

Detection of Meteoritic Amino Acids in Extremely Small Sample Sizes: Implications for Sample Return Missions

Christian Potiszil, Masahiro Yamanaka, Tsutomu Ota, Ryoji Tanaka, Katsura Kobayashi, Eizo Nakamura

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Carbonaceous chondrite; sample return; amino acid; ultrahigh performance liquid chromatography; Orbitrap-mass spectrometry; organic matter; astrobiology; origin of life

Online: 20 March 2023 (04:36:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0323.v1

Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease

Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, Alberto Ranavolo, Gianluca Coppola, Gabriele Sebastianelli, Chiara Abagnale, Francesca Barone, Federico Bighiani, Roberto De Icco, Cristina Tassorelli, Mariano Serrao

Subject: Engineering, Bioengineering Keywords: Multiscale Sample Entropy; Refine Composite Multiscale Entropy; Cerebellar Ataxia; Parkinson’s disease; Trunk acceleration time series; Complexity index; Gait variability; Gait complexity; Gait pattern; Movement disorders

Online: 17 March 2023 (10:11:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0567.v1

Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection

Kashav Piya, Srijal Shrestha, Cameran Frank, Estephanos Jebessa, Tauheed Khan Mohd

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Voice Assistance, Machine Learning, Virtual Assistance, Artificial Intelligence, Selection Bias, Sample Population, Python 3.10, Pyttsx3, PyTorch, JSON

Online: 30 December 2022 (02:12:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0325.v1

Improved CUSUM Schemes for Monitoring Processes Mean

Ganiyu Ayodele Ajibade, Opeyemi Oluwole Enoch

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: CUSUM; fast initial response; generalized fast initial response (GFIR); average run length (ARL)

Online: 19 December 2022 (04:43:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0223.v1

A Theory for Covid-19 Testing to Save Both Resources and Time

Chihjen Lee, Allison Lee, Lena Wang

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Covid; Covid testing; sample pooling; resources; time; binary system; probability; positivity rate

Online: 15 September 2022 (08:14:36 CEST)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202208.0112.v1

Collecting and Disseminating Ground Truth Data for Generation of Agriculture Statistics

Tran-Thanh Dan, Yrle Greco Frank, Karunanayake Chamaka, Gunasekara Kavinda, Dubey Sangita, Burgard Dean Anthony, Hazarika Kumar Manzul

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: ground truth data; drone; mobile application; windshield survey; sample design; crop mapping; agriculture statistics; data dissemination; earth observation data; spatial database.

Online: 4 August 2022 (16:18:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0358.v1

Full-Length Genomic RNA of Foot-and-Mouth Disease Virus is Infectious for Cattle by Injection

Hanna Keck, Benedikt Litz, Bernd Hoffmann, Julia Sehl-Ewert, Martin Beer, Michael Eschbaumer

Subject: Biology And Life Sciences, Virology Keywords: Foot-and-mouth disease virus; safe sample transport; single-stranded positive-sense RNA; TRIzol extraction; naked RNA; infectivity; RNA transfection; lipofectamine; self-transfection; BHK cells

Online: 25 July 2022 (08:14:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0055.v1

Defanging Chloroform – Mitigation of Deuterated Chloroform Decomposition to Stabilise Susceptible NMR Samples

Jan Teipel, Vera Gottstein, Eva Hölzle, Katja Kaltenbach, Dirk W. Lachenmeier, Thomas Kuballa

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: NMR; chemometrics; chloroform; phosgene; hydrochloric acid; sample degradation; pH-shift; protonation

Online: 5 July 2022 (03:53:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0312.v1

Pressure Injury Link to Entropy of Abdominal Temperature

Nikhil Padhye, Denise Rios, Vaunette Fay, Sandra K. Hanneman

Subject: Public Health And Healthcare, Nursing Keywords: refined multiscale entropy; sample entropy; bubble entropy; adaptive complex system; pressure ulcer; machine learning; body temperature

Online: 22 June 2022 (09:52:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0101.v1

Clinical Research in Ayurveda - Can Statistics as A Scientific Discipline Help the Cause?

Vinay Mahajan, Vivek Sanker MK, Aswhini Mathur

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Ayurveda research; good research; hypothesis generation; hypothesis testing; managing bias and sample size

Online: 7 June 2022 (09:45:11 CEST)

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Preprint REVIEW | doi:10.20944/preprints202206.0040.v1

Advanced Microsamples: Current Applications and Considerations for Mass Spectrometry-Based Metabolic Phenotyping Pipelines

Jayden Lee Roberts, Luke Whiley, Nicola Gray, Melvin Gay, Nathan G. Lawler

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Microsampling; sample miniaturisation; dried blood spot (DBS); dried plasma spot (DPS); dried serum spot (DSS); metabolic phenotyping; gas chromatography-mass spectrometry (GC-MS); liquid chromatog-raphy-mass spectrometry (LC-MS)

Online: 3 June 2022 (09:53:13 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202206.0032.v1

Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items

Steffen Uhlig, Bertrand Colson, Rainer Göb, Petra Gowik

Subject: Biology And Life Sciences, Other Keywords: Conformity assessment; lot inspection; acceptance sampling; Quality level; sample size; Bayesian statistics; prior distribution; posterior distribution; consumer risk; producer risk

Online: 2 June 2022 (10:59:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0162.v1

Comprehensive Understanding of the Planform Complexity of the Anastomosing River and the Dynamic Imprint of the River’s Flow: Brahmaputra River in Bangladesh

Shiblu Sarker, Tanni Sarker, Sarder Udoy Raihan

Subject: Environmental And Earth Sciences, Ecology Keywords: anastomosing; erodibility; planform; Fourier transform; power spectral density; sample entropy; approximate entropy

Online: 12 May 2022 (08:03:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0489.v1

Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students

Ghee Wee Ho, Zhenzhi Yang, Linna Xing, Ken Kang-Too Tsang, Huada Daniel Ruan, Yu Li

Subject: Social Sciences, Psychology Keywords: sleep; academic performance; grade point average; college students; wearable device; longitudinal; nighttime sleep awakening

Online: 30 December 2021 (13:45:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0260.v3

SimulaD: A Novel Feature Selection Heuristics for Discrete Data

Mohammad Reza Besharati, Mohammad Izadi

Subject: Computer Science And Mathematics, Discrete Mathematics And Combinatorics Keywords: Feature Selection; Discrete Data; Heuristics; Running average

Online: 7 December 2021 (11:28:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0369.v1

Determination of Avermectins Residues in Soybean, Bean and Maize Using a QuEChERS-based Method and Ultra-high-performance Liquid Chromatography Coupled to Tandem Mass Spectrometry

Fernanda Uczay, Nelson M.G. Bandeira, Luana Floriano, Osmar D. Prestes, Martha B. Adaime, Renato Zanella

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Macrocyclic lactones; agricultural crops; food; sample preparation; UHPLC-MS/MS

Online: 25 October 2021 (15:50:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0526.v1

Monitoring the Nonconforming Fraction with a Dynamic Scheme When Sample Sizes are Time-varying

Víctor Hugo Morales, Carlos Arturo Panza, Javier Blanco

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Average run length; binomial distribution; control charts; EWMAG control chart; nonconforming fraction; p control chart; Phase II; SPC

Online: 30 September 2021 (15:30:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0338.v1

Factors of Renewable Energy Consumption in the European Countries – the Bayesian Averaging Classical Estimates Approach

Atif Maqbool Khan, Jacek Kwiatkowski, Magdalena Osińska, Marcin Błażejowski

Subject: Business, Economics And Management, Economics Keywords: renewable energy; economic; institutional factors; social factors; Bayesian Average Classical Estimates (BACE); Paris Agreement

Online: 20 September 2021 (14:39:27 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202108.0118.v1

The Amoebic Self Scale and GPA are related to the academic procrastination sensu lato

Ernest Bielinis, Lidia Bielinis

Subject: Social Sciences, Education Keywords: active procrastination; amoebic self-theory; correlation; grade point average; procrastination; procrastination sensu lato

Online: 4 August 2021 (14:56:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0301.v1

Compatibility of Drought Magnitude Based Method With Spa for Assessing Reservoir Volumes: Analysis Using Canadian River Flows

Tribeni C. Sharma, Umed Panu

Subject: Engineering, Automotive Engineering Keywords: Deficit volume; drought intensity; drought magnitude; extreme number theorem; Markov chain; moving average smoothing; standardized hydrological index; sequent peak algorithm; reservoir volume.

Online: 13 July 2021 (11:25:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0100.v3

On the Use of Entropy as a Measure of Dependence of Two Events

Valentin Iliev

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: entropy; average information; degree of dependence; probability space; probability distribution; experiment in a sample space; linear system; affine isomorphism; classification space.

Online: 5 July 2021 (16:22:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0069.v1

The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes Under Uncertain Demand, Yields, and Prices

Sheng-I Chen, Wei-Fu Chen

Subject: Engineering, Automotive Engineering Keywords: fresh agricultural products; harvest schedule; stochastic programming; sample-average approximation

Online: 2 July 2021 (15:44:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0530.v1

Effect of Field Sample Size on Large-Scale Subtropic Forest Inventory Attribute Estimation Based on Airborne Laser Scanner Data

Yu Zhu, Zhou Xiang Bei, Lin Xin, Chen Zhong Chao, Zhou Mei, Li Chun Gan

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: airborne LiDAR; forest attributes; multivariate power model; sample size

Online: 22 June 2021 (13:03:33 CEST)

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Exploring the effect of the sample size on the estimation accuracy of airborne LiDAR forest attributes in a large-scale area can help in optimizing the technical application scheme of operational ALS-based large-scale forest stand inventories. In our study, sample datasets composed of different sample plots were constructed by repeated sampling from 1003 sample plots in a subtropical study area covering 2376 × 103 km2. Sixteen multiplicative power models were built in each forest type consisting of four forest attributes. Through these models, the variations of standard deviation (SD) and coefficient of variation (CV) of R2 and rRMSE of forest attribute estimation models for different quantity levels of sample plots were also analyzed. The results showed that, first, when the sample size increased from 30 to the top limit, the SD of the forest attributes and LiDAR variables showed a decreasing trend. Second, as the sample size increased, the rRMSE of the 16 forest attribute estimation models gradually decreased, while the R2 gradually increased. Third, when the sample size was small, both the SD of R2 and rRMSE of the models were large, and the SD of R2 and rRMSE gradually decreased as the sample size increased. In 50 models conducted for each attribute at the same sample size, for the mean standard deviations of forest attributes, the ten best performing models were lower than those of the total 50 models, and the worst ten models were the opposite. When the sample size increased, the accuracy of each forest attribute estimation model for each forest type gradually improved. The variation of forest attributes and the LiDAR variable of the construction model are critical factors that affect the model’s accuracy. To efficiently apply airborne LiDAR in order to survey large-scale subtropical forest resources, the sample size of the Chinese fir forest, pine forest, eucalyptus forest, and broad-leaved forest should be 110, 80, 85, and 70, respectively.

Preprint ARTICLE | doi:10.20944/preprints202104.0612.v2

Secure Air Traffic Control at the Hub of Multiplexing on the Centrifugo-Pneumatic Lab-on-a-Disc Platform

Jens Ducrée

Subject: Computer Science And Mathematics, Software Keywords: centrifugal microfluidics; Lab-on-a-Disc; centrifugo-pneumatic flow control; integration; multiplexing; parallelization; sample-to-answer; reliability; tolerances; design-for-manufacture; digital twin; event-triggering

Online: 8 June 2021 (11:23:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0396.v1

Ensemble Mapping and Change Analysis of the Seafloor Sediment Distribution in the Sylt Outer Reef, German North Sea from 2016-2018

Daphnie S. Galvez, Svenja Papenmeier, Lasse Sanders, H. Christian Hass, Vera Fofonova, A. Bartholomae, Karen H. Wiltshire

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: ensemble modelling; seafloor mapping; sediment change analysis; seafloor sediment distribution; North Sea; seafloor classification; acoustic mapping; small sample size; ensemble map

Online: 17 May 2021 (16:58:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0250.v1

Acid Dissolution of Neodymium Magnet Nd-Fe-B in Different Conditions

Akmaral Gazizovna Ismailova, Gulsara Zhakashovna Akanova, Duisek Khaissagalievich Kamysbayev

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: acid dissolution; neodymium magnet; open system; microwave sample preparation system; ICP-MS analysis

Online: 11 May 2021 (15:06:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0004.v1

Appeasing Pheromones Against Bovine Respiratory Complex and Modulation of Immune Transcript Expressions

Caroline Hervet, Justine Boullier, Marlène Guiadeur, Léa Michel, Laure Brun-Lafleur, Anne Aupiais, Jianzhong Zhu, Béatrice Mounaix, François Meurens, Fanny Renois, Sébastien Assié

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Appeasing Pheromone; Bovine; Respiratory Infections; Immune Response; Average Daily Gain

Online: 3 May 2021 (09:15:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0199.v1

Sub-Millisecond Integrated Mix-and-Inject Microfluidic Sample Delivery Devices

Majid Hejazian, Eugeniu Balaur, Brian Abbey

Subject: Physical Sciences, Acoustics Keywords: Microfluidics; Micro-Jet; Sub-millisecond mixing; Simulation; Sample delivery for XFEL

Online: 8 February 2021 (12:12:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0440.v1

Comprehensive Identification of Glycosphingolipids in Human Plasma using Hydrophilic Interaction Liquid Chromatography – Electrospray Ionization Mass Spectrometry

Michal Holčapek, Karel Hořejší, Robert Jirásko, Michaela Chocholoušková, Denise Wolrab, David Kahoun

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: glycosphingolipids; lipidomics; mass spectrometry; hydrophilic interaction liquid chromatography; human plasma; lipid profile; sample preparation; fragmentation behavior

Online: 22 January 2021 (11:31:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0047.v1

Accelerating Gut Microbiome Research with Robust Sample Collection

Zoe J. Zreloff, Danielle Lange, Suzanne D. Vernon, Martha R. Carlin, Raul de Jesus Cano

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Stool; Fecal; Microbiome; Microbiota; Heterogeneous; Homogeneous; Sample

Online: 4 January 2021 (13:29:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0413.v1

Almost Global Stability of Nonlinear Switched System with Stable and Unstable Subsystems

Aysegul Kivilcim, Ozkan Karabacak, Rafal Wisniewski

Subject: Engineering, Automotive Engineering Keywords: switched systems, stable and unstable subsystems, Lyapunov density, average dwell time, mode-dependent average dwell time

Online: 16 December 2020 (13:43:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0297.v1

Defining the Rhizobium Leguminosarum Species Complex

J. Peter W. Young, Sara Moeskjær, Alexey Afonin, Praveen Rahi, Marta Maluk, Euan K. James, Maria Izabel A. Cavassim, M. Harun-or Rashid, Aregu Amsalu Aserse, Benjamin J. Perry, En Tao Wang, Encarna Velázquez, Evgeny E. Andronov, Anastasia Tampakaki, José David Flores Félix, Raúl Rivas González, Sameh H. Youseif, Marc Lepetit, Stéphane Boivin, Beatriz Jorrin, Gregory J. Kenicer, Álvaro Peix, Michael F. Hynes, Martha Helena Ramírez-Bahena, Arvind Gulati, Chang-Fu Tian

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Rhizobium; species complex; bacterial taxonomy; core genes; housekeeping genes; average nucleotide identity; speciation; genospecies

Online: 12 December 2020 (11:51:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0237.v1

Multi-Block Color-Binarized Statistical Images for Single Sample Face Recognition

Insaf Adjabi, Amir Benzaoui, Abdeldjalil Ouahabi, Sebastien Jacques

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Biometrics; Face Recognition; Single Sample Face Recognition; Binarized Statistical Image Features; K-Nearest Neighbors

Online: 9 December 2020 (18:25:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0551.v1

Automated Supported Liquid Extraction for the analysis of a panel of 12 endogenous steroids in human plasma by LC-MS/MS

Scott G Denham, George Just, Catriona J Kyle, Jennifer Richardson, Patricia Lee, Joanna P Simpson, Robert M Gifford, Ruth Andrew, Rebecca M Reynolds, Natalie ZM Homer

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: steroids; steroid panel; clinical mass spectrometry; plasma; sample automation; endocrine; Synacthen

Online: 21 November 2020 (08:36:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0278.v1

Inversion of Lift-Off Distance and Thickness for Non-Magnetic Metal Using Eddy Current Testing

Xiaobai Meng, Mingyang Lu, Wuliang Yin, Abdeldjalil Bennecer, Katherine Kirk

Subject: Engineering, Automotive Engineering Keywords: Eddy current sensor; lift-off measurement; thickness measurement; non-destructive testing; sample-independence.

Online: 9 November 2020 (11:11:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0255.v1

Characterization of Pathogen Air-Borne Inoculum Density by Information Theoretic Analysis of Spore Trap Time Series Data

Robin A Choudhury, Neil McRoberts

Subject: Biology And Life Sciences, Plant Sciences Keywords: time series; entropy; average mutual information; stochastic process; deterministic dynamics

Online: 12 October 2020 (16:12:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0090.v1

Tapering, Tree Rings and Biomass Production of Pinus roxburghii (Sarg.): A Dendrochronological Study

Hari Prasad Pandey, Narayan Prasad Pokhrel

Subject: Biology And Life Sciences, Forestry Keywords: age; coring sample; forest productivity; Nepal; P. roxburghii; stand structure

Online: 4 September 2020 (08:08:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0581.v1

Intelligent UAV Deployment for a Disaster Resilient Wireless Network

Hassaan Hydher, Dushantha Nalin K. Jayakody, Kasun Hemachandra, Tharaka Samarasinghe

Subject: Engineering, Electrical And Electronic Engineering Keywords: aerial base station; average spectral efficiency; interference mitigation; particle swarm optimization and unmanned aerial vehicles

Online: 26 August 2020 (10:51:42 CEST)

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