An electronic system to collect distance‐sampling data during helicopter surveys of northern bobwhite by Matthew J. Schnupp, Fidel Hernández, Eric J. Redeker, Fred C. Bryant, Joshua P. Rusk, Stephen J. Demaso, Joseph P. Sands, Trent W. Teinert, Leonard A. Brennan, Dale Rollins, Robert M. Perez

“…However, practical issues arise when using distance sampling during aerial surveys, such as obtaining accurate perpendicular distances. …”
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Contemporary issues epidemiology of acute intestinal infections of viral etiology in the north-eastern region of Ukraine by N. G. Malysh, N. D. Chemich, S. I. Doan, Yu. V. Khatynskaya, T. Yu. Kiry

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Students' Socio-scientific Reasoning to Measure Decision-Making Ability Related to Sustainable Energy Issues by Rifqi Anjar Mustika, Wirawan Fadly, Martinez David

“…This study uses quantitative research with a cross-sectional survey research design. The research sample was determined by purposive sampling, and 26 samples were collected from class VII B at SMPN 1 Sambit Ponorogo. …”
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Sampled-Data-Based Local Stability of Neutral Time-Delay Systems With Actuator Saturation by Dapeng Li, Shuiqing Ye, Chao Ge

“…In this work, the local stability issue of neutral delay system with actuator saturation under sampled-data controller is studied. …”
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CHPOA-DBN Transformer Fault Diagnosis Method Considering Sample Within-Class Imbalance by Shuang WANG, Qian LUO, Bo TANG, Lan JIANG, Jin LI

“…However, they share two prominent drawbacks, which are the low accuracy issue caused by the within-class imbalance of transformer faults samples and the artificial determination of the network parameters of deep belief network (DBN). …”
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An analysis of water samples surrounding swine farms in Timis County – A practical guide by Valentin L. Ordodi, Crina Laura Moșneang, Romeo T. Cristina

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Factors Affecting Personal Information Sharing: Small-Scale Sample Analysis on Social Media by Belia Rida Syifa Fauzia, Lukman Yudokusumo, Yova Ruldeviyani

“…The sample used in this research consisted of social media users in Indonesia. …”
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Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

“…The issue of slow data updates, insufficient data samples for certain intrusion categories, and imbalanced distributions between normal and abnormal data sets in standard intrusion detection data sets have been addressed through both data sample augmentation and detection model optimization. …”
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Lognormal-Based Sampling for Fission Product Yields Uncertainty Propagation in Pebble-Bed HTGR by Yizhen Wang, Menglei Cui, Jiong Guo, Jinlin Niu, Yingjie Wu, Baokun Liu, Fu Li

“…Here, we evaluate thermal neutron-induced U-235 independent fission yields covariance matrix by the Bayesian updating method, and then we use lognormal-based sampling method to overcome the negative fission yields samples issue. …”
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Occupational Hazards Knowledge among a Sample of Medical and Paramedical Staff in Baghdad City by Sajjad M. hasan, Suhair M. Hassoun, Luma H. Ali

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An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space by Ying Li, Yali Yang, Peihua Song, Lian Duan, Rui Ren

“…Although the Synthetic Minority Over-sampling Technique (SMOTE) and its variants alleviate this issue by generating synthetic samples, they frequently overlook local density and distribution characteristics. …”
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Time variations in the generation time of an infectious disease:Implications for sampling to appropriately quantify transmissionpotential by Hiroshi Nishiura

“…An appropriate quantification of the transmission potential requires the estimation of the cohort generation time during the initial growth phase of an epidemic or adjustment of the time-effect (e.g., adjustment of the growth rate of the epidemic during the sampling time) on the period generation time. A similar issue also applies to the estimation of the effective reproduction number as a function of calendar time. …”
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Semi-Supervised Nuclei Instance Segmentation with Category-Adaptive Sampling and Region-Adaptive Attention by Xunci Li, Die Luo, Zimei Wei, Junan Long, Zhiwei Ye

“…This challenge has motivated researchers to explore ways to further enhance segmentation performance under limited labeling conditions. To address this issue, this paper proposes a network based on category-adaptive sampling and attention mechanisms for semi-supervised nuclei instance segmentation. …”
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Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

“…However, standard purification strategies often encounter challenges, such as unintended co-purification of contaminants alongside the target protein. This issue is particularly problematic for self-assembling protein nanomaterials, where unexpected geometries may reflect novel assembly states, cross-contamination, or native proteins originating from the expression host. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…IntroductionMachine learning-based power transformer fault diagnosis methods often grapple with the challenge of imbalanced fault case distributions across different categories, potentially degrading diagnostic accuracy. To address this issue and enhance the accuracy and operational efficiency of power transformer fault diagnosis models, this paper presents a novel fault diagnosis model that integrates Neighborhood Component Analysis (NCA) and k-Nearest Neighbor (KNN) learning, with the incorporation of correction factors.MethodsThe methodology begins by introducing a correction factor into the objective function of the NCA algorithm to reduce the impact of sample imbalance on model training. …”
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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…These techniques, less commonly applied in traditional machine learning approaches to landslide detection, help address the issue of data imbalance often seen in landslide datasets, where instances of landslides are far outnumbered by non-landslide occurrences. …”
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Universal Knowledge Graph Embedding Framework Based on High-Quality Negative Sampling and Weighting by Pengfei Zhang, Huang Peng, Yang Fang, Zongqiang Yang, Yanli Hu, Zhen Tan, Weidong Xiao

“…To address this issue, we propose a universal knowledge graph embedding framework based on high-quality negative sampling and weighting, called HNSW-KGE. …”
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Clinical Features of Patients with Tropheryma Whipplei Detected in Lower Respiratory Tract Samples in China by Chen Q, Gao B, Guo W, Liu H, Guo J

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Issues in Philippine Public Procurement: A Content Analysis of Commission on Audit Annual Audit Reports by Dean Aljohn Imasa, Karl Campos

“…Employing directed content analysis with inductive coding, the study identifies 42 weaknesses in public procurement, categorized into procurement management, strategy and planning issues, execution and delivery challenges, financial and budgetary concerns, documentation and compliance gaps, and procurement method issues. …”
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Risk factors for cardiovascular diseases and geriatric syndromes – epidemiology issues and relationship in older age patients by N. E. Titova, N. V. Semionenkova, S. M. Bazhenov, D. S. Bazhenova, E. D. Golovanova

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