Bayesian feedback in the framework of ecological sciences by Mario Figueira, Xavier Barber, David Conesa, Antonio López-Quílez, Joaquín Martínez-Minaya, Iosu Paradinas, Maria Grazia Pennino

“…For example, species data can be collected from scientific sampling with a completely random sample pattern, but also from opportunistic sampling (e.g., whale watching from commercial fishing vessels or bird watching from citizen science), where observers tend to look for particular species in areas where they expect to find them.Species Distribution Models (SDMs) are widely used tools for analysing this type of ecological data. …”
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Parametric Estimation and Analysis of Lifetime Models with Competing Risks Under Middle-Censored Data by Shan Liang, Wenhao Gui

“…Furthermore, Bayesian estimates under squared loss function and the corresponding highest posterior density intervals are obtained through the Gibbs sampling method. A simulation study is carried out to assess the performance of all proposed estimators. …”
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Environmental DNA (eDNA) as a tool to detect Arctic grayling and their habitat preferences in the Northwest Territories, Canada by Heather D. Veilleux, Melissa D. Misutka, Morag D. McPherson, Peter A. Cott, Greg G. Goss, Mark Poesch, Chris N. Glover

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Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm by Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang

“… This research examines the impact of various sampling techniques on the performance of classification models in the context of imbalanced datasets, employing the body performance dataset as a case study.  …”
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Variations of autonomic arousal mediate the reportability of mind blanking occurrences by Paradeisios Alexandros Boulakis, Nicholas John Simos, Stefania Zoi, Sepehr Mortaheb, Christina Schmidt, Federico Raimondo, Athena Demertzi

“…What remains inconclusive is whether MB can also ensue from autonomic arousal manipulations, pointing to the implication of peripheral physiology to mental events. Using experience sampling, neural, and physiological measurements in 26 participants, we first show that MB was reported more frequently in low arousal conditions, elicited by sleep deprivation. …”
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Towards an automated protocol for wildlife density estimation using camera‐traps by Andrea Zampetti, Davide Mirante, Pablo Palencia, Luca Santini

“…We simulated density estimation with Camera‐Trap Distance Sampling (CT‐DS) and Random Encounter Model (REM) under different scenarios of automated image classification. …”
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Statistical Prediction Based on Ordered Ranked Set Sampling Using Type-II Censored Data from the Rayleigh Distribution under Progressive-Stress Accelerated Life Tests by Atef F. Hashem, Alaa H. Abdel-Hamid

“…In this paper, the ordered ranked set sample is obtained using the idea of order statistics from independent and nonidentically distributed random variables under progressive-stress accelerated life tests. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

“…Built interval variation series calculated the most important numerical characteristics of random variable - the sample mean (arithmetic mean value of the flag of sample), the sample variance (the arithmetic average of the squared deviations of the observed values of the trait from their average values) and sample standard deviation was given the opportunity to build a histogram of relative frequencies - a stepped shape consisting of rectangles whose bases are partial intervals, and the height equal to the density of the relative frequency. …”
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Mediastinal lymph node dissection versus mediastinal lymph node sampling for early stage non-small cell lung cancer: a systematic review and meta-analysis. by Xiongfeng Huang, Jianmin Wang, Qiao Chen, Jielin Jiang

“…<h4>Objective</h4>This systematic review and meta-analysis aimed to evaluate the overall survival, local recurrence, distant metastasis, and complications of mediastinal lymph node dissection (MLND) versus mediastinal lymph node sampling (MLNS) in stage I-IIIA non-small cell lung cancer (NSCLC) patients.…”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Thirteen random points were determined at all height groups, and three samples from each point were dug at depths 0-15 cm and 15-30 cm. …”
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Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…However, selecting remote sensing factors that can effectively improve the accuracy of forest AGB estimation from a large amount of data is a challenge when the sample size is small. In this regard, the Least Absolute Shrinkage and Selection Operator (Lasso) has advantages for extensive redundant variables but still has some drawbacks. …”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

“…By introducing a feature sample weighting decorrelation technique in the random Fourier transform space and combining it with a baseline GNN model, a Stable-GNN model and a constrained sampling weight gradient update algorithm are designed. …”
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Enhanced supervised classification of seasonal pastures on the Qinghai-Tibet Plateau (1990–2020) using Landsat optimal time window by Panfei Fang, Jia Wang, Haifeng Xu, Ruonan Li, Long Yu, Shaodong Huang, Yuying Liang, Pengfei Zheng

“…The framework leverages Landsat imagery within the optimal time window (Days of Year, DOYs 190–280), incorporates algorithms for automated sample generation and refinement, and employs the Random Forest (RF) classifier to enable fully automated seasonal pasture mapping. …”
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Pharmacokinetic and Bioequivalence Study of the Two-component Drug Product "Ezetimibe + rosuvastatin" (JSC "Sanofi-aventis group", Russia): Resuts and Experience with the Use of En... by A. L. Khokhlov, D. Yu. Grebenkin, E. K. Faeva, V. I. Kazey, A. A. Khokhlov, A. E. Miroshnikov, O. V. Lebedeva

“…The purpose of the bioequivalence trial was a comparative study of the pharmacokinetics and evidence of the bioequivalence of the fixed-dose combination "Ezetimibe + rosuvastatin" (ezetimibe + rosuvastatin,tablets, 10 + 40 mg, JSC "Sanofi-aventis group", Russia) compared with coadministrated monocomponent drugs ezetimibe and rosuvastatin in fasting healthy volunteers after a single administration using the described additional parameters for controlling the enzymatic hydrolysis of ezetimibe-glucuronide during the analysis of samples.Materials and methods. To prove bioequivalence, an open label, comparative, randomized, crossover two-period clinical trial was conducted. …”
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Prevalence of hepatitis C virus co-infection in adults living with HIV in Mexico: a cross-sectional, seroprevalence study in a nationally representative sampleResearch in context by Pablo F. Belaunzarán-Zamudio, Juan L. Mosqueda-Gómez, J. Oggún Cano-Torres, Claudia Guillén-López, Teresa Muñoz-Trejo, Kenia Escobedo-López, Alejandro Rivera-Marroquín, Akio Murakami-Ogasawara, José L. Sánchez-Bello, Margarita M. Rosas-Dossetti, Elizabeth Papaqui-Limón, Alethse De la Torre-Rosas, Juana Díaz-García, Juan G. Sierra-Madero, Pablo F. Belaunzarán-Zamudio, Juan L. Mosqueda-Gómez, J. Oggun Cano-Torres, Claudia Guillén-López, Teresa Muñoz-Trejo, Kenia Escobedo-López, Alejandro Rivera Marroquin, Akio Murakami-Ogasawara, José L. Sánchez-Bello, Margarita M. Rosas-Dossetti, Elizabeth Papaqui-Limón, Alethse De la Torre-Rosas, Juana Díaz-García, Bibiana M. Barbosa-Ramírez, Oscar Castillo-Soria, Alain Espinoza-Pérez, Jorge Gaxiola-Lugo, Alfredo Pérez-Valenzuela, Krissel García-Hernández, Elvira E. Riojas-Moncada, Juana Díaz-García, Juan Beltrán-Saldaña, Felipe De Jesús Escobar-Del Real, Ma. del Pilar Abarca-de Hoyos, Susana Raviela, Ma. Eugenia Figueroa-Santana, Jorge A. Gamboa-Marroquin, Andrea Cárdenas-Ortega, Mario J. Hernández-Morales, Adonay Jiménez-Jiménez, Manuel Vidal-López, Roberto Rodríguez-Díaz, Berenice Robles-Villafuerte, Arturo Alatorre-Manjarrez, Corazón Moreno-Mex, Ivonne Sánchez-López, Jorge Silva-Herrera, Nora Mora-Suárez, Daniel Pérez-Larios, Juan G. Sierra-Madero

“…Methods: Using a complex-survey design, we collected blood samples and applied structured questionnaires between May 2nd, 2019 and February 17th, 2020 in a nationally, representative sample of adults receiving care for HIV-infection in 24 randomly selected HIV-care centres in 8 socio-demographically regions in Mexico. …”
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Effects of Acute Long- versus Short-Interval High-Intensity Interval Training on Attention and Psychological States in a Sample of Male and Female Adolescents: A Pilot Study by Maamer Slimani, Mahdi Issaoui, Hela Znazen, Amri Hammami, Nicola Luigi Bragazzi

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Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational... by Eric Hurwitz, Cara D Varley, A Jerrod Anzolone, Vithal Madhira, Amy L Olex, Jing Sun, Dimple Vaidya, Nada Fadul, Jessica Y Islam, Lesley E Jackson, Kenneth J Wilkins, Zachary Butzin-Dozier, Dongmei Li, Sandra E Safo, Julie A McMurry, Pooja Maheria, Tommy Williams, Shukri A Hassan, Melissa A Haendel, Rena C Patel

“…For robustness, we conducted a randomly sampled, blinded clinician annotation to assess precision. …”
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Production and characterization of a promising microbial-derived lipase enzyme targeting BCL-2 gene expression in hepatocellular carcinoma by Amal M. Abo-Kamer, Ahmed A. Abdelaziz, Esraa S. Elkotb, Lamiaa A. Al-Madboly

“…Abstract Context and goal This study aimed to isolate and optimize a high-yield lipase-producing Pseudomonas aeruginosa strain from biological samples, enhance enzyme production through random mutagenesis, and evaluate its potential anticancer activity. …”
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Time-Series Modeling of Ozone Concentrations Constrained by Residual Variance in China from 2005 to 2020 by Shoutao Zhu, Bin Zou, Xinyu Huang, Ning Liu, Shenxin Li

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Path planning algorithm based on the improved Informed-RRT* using the sea-horse optimizer by YAN Guiseng, YANG Jie

“…ObjectiveIn order to solve the problems of random sampling, inefficient search, and difficulty in providing optimal paths in complex environments faced by traditional Informed-RRT* algorithms, an improved Informed-RRT* path planning algorithm based on the sea-horse optimizer (SHO) was proposed.MethodsThis algorithm combined the strengths of Informed-RRT* and SHO. …”
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