Is leisure sedentary time associated with mental health issues? Evidence from China Health and Nutrition Survey by Hao Li, Hao Li, Weihong Zeng, Weihong Zeng

“…This study aims to provide evidence on leisure sedentary behaviors on mental health using longitudinal data, along with its moderating and mediating roles.MethodsWe utilized data from four waves (2006–2015) of the China Health and Nutrition Survey (CHNS), focusing on adults who completed their education, with a total sample of 23,693 observations. Leisure sedentary time, the independent variable, was measured based on self-reported data, while mental health issues were the dependent variables based on the Simplified Symptom Self-Rating Scale (SCL) and the Perceived Stress Scale (PSS-14). …”
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Protocol for the visualization of bacteria in the tick gut using whole-mount fluorescence in situ hybridization by Adnan Hodžić, Martin Kunert, David Berry

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Towards Responsible Destructive Analysis: A guide to the recording of archaeological tooth samples with laboratory process visualisation by Vera Haponava, Linda Fibiger, Ian B. Butler, Catriona Pickard

“…Existing guidelines mostly address curatorial issues, or focus on pre-sampling steps, rather than presenting protocols that can assist researchers in being more responsible regarding invasive analysis and the preservation of osteological collections. …”
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Achieving Distributed Consensus in UWB Sensor Networks: A Low Sampling Rate Scheme with Quantized Measurements by Lorenzo Taponecco, Luca Sanguinetti

“…Particular attention is devoted to address the practical implementation issues as well as to the development of a receiver architecture with the same performance of existing alternatives based on an all-digital implementation but with a much lower sampling frequency on the order of MHz instead of GHz.…”
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Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method by Jie Wu, Quansheng Yan, Shiping Huang, Chao Zou, Jintu Zhong, Weifeng Wang

“…Computational cost reduction and best model updating method seeking are the key issues during model updating for different kinds of bridges. …”
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An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios by Jianqiao Li, Zhihao Huang, Liang Jiang, Yonghong Zhang

“…This approach mitigates the challenges of manually tuning neural network hyperparameters and effectively addresses bearing fault diagnosis under constrained sample conditions, representing a meaningful contribution to the field of rolling bearing fault diagnostics.…”
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Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement by Zhaoguo Huang, Danyang Chen, Cheng Zhong

“…The preceding phenomenon indicates that severe feature confusion in remote sensing FSOD hampers the ability of the model to accurately classify and localize instances. To address these issues, this paper proposes a two-stage FSOD framework based on transfer learning via pseudo-sample generation and feature enhancement (PSGFE), including pseudo-sample generation module (PSGM) and feature enhancement module (FEM). …”
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Efficient multi‐perspective jamming feature perception network for suppressive jamming recognition with limited training samples by Minghua Wu, Yupei Lin, Dongyang Cheng, Xiaohai Zou, Bin Rao, Wei Wang

“…Current deep learning‐based methods for identifying suppressive jamming signals suffer from reduced effectiveness with limited training samples and issues related to high parameter counts and computational complexity. …”
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Gay and Bisexual Men's Perceptions of the Donation and Use of Human Biological Samples for Research: A Qualitative Study. by Chris Patterson, Lisa M McDaid, Shona Hilton

“…Most men interviewed seemed to have given little prior consideration to the issues. Participants were largely supportive of donating tissue for medical research purposes, and often favourable towards samples being stored, reused and shared. …”
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Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples by Qianqian Zhang, Caiyun Hao, Ying Wang, Kun Zhang, Haitao Yan, Zhongwei Lv, Qiuxia Fan, Chan Xu, Lei Xu, Zhuang Wen, Weihuang Liu

“…As a result, there are frequently significantly fewer defect samples obtained than healthy samples, and the data samples that are obtained typically have a high noise level. …”
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Comparative Assessment of Environmental DNA and Bulk-Sample Metabarcoding in Biosecurity Surveillance for Detecting Biting Midges (Ceratopogonidae) by Jieyun Wu, Dongmei Li, Rebijith K. Balan, Sherly George, Lora Peacock, Chandan Pal

“…Detection failures were likely due to eDNA extraction issues or low target species abundance. Both approaches showed similar insect community composition and diversity in the surveillance trap samples, suggesting the potential of DNA metabarcoding for biosecurity surveillance and biodiversity assessments. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…This was carried out on high-dimensional and reduced-sample databases, covering different percentages of missing data. …”
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Complex associations between anxiety, depression, and resilience in a college student sample: a network analysis by Hui Wang, Min Wang, Xiuchao Wang, Tingwei Feng, Xufeng Liu, Wei Xiao

“…The aim of this study is to explore the finer-grained potential relationships between psychological resilience, anxiety, and depression among college students.MethodsThis study employed network analysis to examine the psychological resilience, anxiety, and depression status of a randomly sampled cohort of 855 college students (51.8% female; M = 18.70, SD = 1.13). …”
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A framework for parsing psychopathological heterogeneity: initial application in a large-scale unselected community sample by Chaoyi Wu, Chenyu Yuan, Yinqing Fan, Ang Hong, Zhiling Wu, Zhen Wang

“…This framework is preliminarily applied to a large, non-selective community sample (N = 4102) to explore its utility and potential for deconstructing psychopathological heterogeneity. …”
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Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

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Estimation of radar-based area–depth–duration–frequency curves with special focus on spatial sampling problems by G. Goshtasbpour, U. Haberlandt

“…Three alternative sampling strategies are developed to address this issue. …”
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Examining Social Issues and Their Prioritization in Affluent vs. Deprived Urban Neighborhoods: A Policy Analysis of Kermanshah, Iran by Bita Hamed, Sajede Vaezzade, Omid Mansouree

“…IntroductionA social problem is an issue that is widely seen as challenging within a society. …”
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Genetically druggable targets for MAPK-activated colorectal cancer by a two-sample mendelian randomization analysis by Yuxuan Zhou, Yunlong Ding, Bangyue Xu, Hongyang Fei, Zheng Wang

“…Abstract Colorectal cancer (CRC) is a significant worldwide health issue, ranking second in women and third in men. …”
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Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

“…Besides, time‐series data analysis is an opportunity and challenging issue, this dataset holds great potential for broader application in general time‐series classification analysis.…”
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Ocular and Visual Discomfort Epidemic Amid COVID-19 Pandemic: A Sample of Medical Students in Bulgaria by Vesela Lubenova, Zehra Gay, Snezhana Murgova

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