Predicting honest behavior based on Eysenck personality traits and gender: an explainable machine learning study using SHAP analysis by Yu Meng, Zili Peng, Zhitong Zhang, Qiaolin Chen, Hanxi Huang, Yihan Chen, Mengqian Zhao

“…SHAP analysis revealed: (1) neuroticism as the strongest predictor of dishonesty; (2) significant gender differences (higher dishonesty rates in males); and (3) threshold effects for Psychoticism and Extraversion.DiscussionThis work makes three key contributions: (1) first systematic application of the Eysenck model to aviation honesty prediction; (2) identification of gender as a critical moderating variable; and (3) development of a SHAP-driven interpretable framework that connects machine learning outputs with psychological theory. …”
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Sex differences in the association between atherogenic index of plasma and progression from normoglycemia to prediabetes: evidence from a 5-year large-scale retrospective cohort st... by Chufu Yang, Qiying Chen, Weiyan Li, Chuang Gao, Yong Han, Jiaqian Zhu

“…Additionally, a non-linear association was observed in men, with an inflection point at 0.513. Below this threshold, each 0.1-unit increase in AIP was associated with an HR of 1.204 (95% CI: 1.098–1.321). …”
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Graded motor imagery as an adjunct to comprehensive physiotherapy in chronic rotator cuff-related pain: a single blind randomized controlled trial by Seda Sırlan, Nuray Alaca, Hacı Ahmet Yarar, Onur Başcı

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A hydrogeomorphology-informed method for mapping continuous river networks from satellite imagery by Xiaodong Yi, Kang Yang, Wei Mao, Mengtian Man, Dinghua Chen, Jinyu Liu

“…Satellite imagery has been widely used to map global terrestrial river networks. However, existing methods and datasets still face the challenge of eliminating interference features and extracting continuous river networks. …”
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Prediction method of surface deformation around soft base dump based on viscoelastic theory by Dong WANG, Li YIN, Lanzhu CAO, Yiming FU, Liguo ZHANG, Chunhui ZHANG, Chunjian DING

“…The proposed solutions offer novel insights and methods for managing surface deformation in analogous projects, with the potential for positive application in engineering practice.…”
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Sex differences in the association between Life’s Essential 8 and serum anti-aging Klotho protein levels: a cross-sectional analysis in middle-aged to older adults by Jing Zeng, Tingting Zhang, Yan Yang, Jinjing Wang, Xiaojing Fan, Qiaomin Wang, Xuan Wang, Haoxian Tang, Haoxian Tang, Yi Fang

“…BackgroundThis study explores the association between cardiovascular health metrics (Life’s Essential 8, LE8) and serum anti-aging Klotho protein levels among American adults aged 40–79, with a focus on sex-specific differences.MethodsUtilizing data from the 2007–2016 National Health and Nutrition Examination Survey (NHANES), we applied weighted multivariable regression analyses, restricted cubic spline (RCS) modeling, and subgroup analyses to investigate the association between Life’s Essential 8 (LE8) scores—including Health Behaviors and Health Factors scores—and serum Klotho concentrations, with a focus on gender differences.ResultsOur study encompassed 9,534 participants, including 4,946 females and 4,588 males. …”
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Responsiveness of the mini-balance evaluation systems test, dynamic gait index, Berg balance scale, and performance-oriented mobility assessment in parkinson’s disease by Maryam Mehdizadeh, Seyed-Mohammad Fereshtehnejad, Merrill R. Landers, Parvaneh Taghavi Azar Sharabiani, Mohsen Shati, Seyede Salehe Mortazavi, Sayed Amir Hasan Habibi, Korosh Mansoori, Mahsa Meimandi, Zahra Nodehi, Zakieh Sadat Saberi, Ghorban Taghizadeh

“…Anchor and distribution methods were used to determine the MID (the receiver-operating characteristic(ROC)-based (MIDROC), the predictive modeling method (MIDpred), and the MIDpred-based method adjusted by the rate of improvement (MIDadj)) and MDC. …”
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Vibe++ background segmentation method combining MeanShift clustering analysis and convolutional neural network by Zihao LIU, Xiaojun JIA, Sulan ZHANG, Zhiling XU, Jun ZHANG

“…To solve problems of noise points and high segmentation error for image shadow brought by traditional Vibe+ algorithm, a novel background segmentation method (Vibe++) based on the improved Vibe+ was proposed.Firstly, binarization image was acquired by using traditional Vibe+ algorithm from surveillance video.The connected regions were marked based on the region-growing domain marker method.The area threshold was obtained with difference characteristics of boundary area, the connected regions below threshold were treated as disturbing points.Secondly, five different kernel functions were introduced to improve the traditional MeanShift clustering algorithm.After improving, this algorithm was fused effectively with partitioned convolutional neural network.Finally, program of classification of trailing area, non-trailing area and trailing edge area in the resulting image was performed.Position coordinates of the trailing area were calculated and confirmed, and the trailing area was quickly deleted to obtain the final segmentation result.This segmentation accuracy was greatly improved by using the proposed method.The experimental results show that the proposed algorithm can achieve segmentation accuracy of more than 98% and has good application effect and high practical value.…”
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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

“…Due to the serious redundant interference of dual-carbon monitoring data resources, threshold setting in the fusion process is inaccurate. …”
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Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations by Zhong Yao, Liantan Duan, Shuo Xu, Lingyi Chi, Dongfang Sheng

“…MethodsUnder different prompt settings, we sequentially posed questions to 7 LLMs: 2 primarily trained on English-language corpora and 5 primarily on Chinese-language corpora. …”
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Model-Free Change Point Detection for Mixing Processes by Hao Chen, Abhishek Gupta, Yin Sun, Ness Shroff

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Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems. by Mirco Boschetti, Francesco Nutini, Giacinto Manfron, Pietro Alessandro Brivio, Andrew Nelson

“…However, little work has been done on determining which spectral combination in the form of Normalised Difference Spectral Indices (NDSIs) is most appropriate for surface water detection or which thresholds are most robust to separate water from other surfaces in operational contexts. …”
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Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods. by Luis P Fernandes, Alessia Annibale, Jens Kleinjung, Anthony C C Coolen, Franca Fraternali

“…Based on this rationale, data from yeast-two-hybrid methods are sufficiently consistent to allow for intra-species comparisons (between different experiments) and inter-species comparisons, while data from affinity-purification mass-spectrometry methods show large differences even within intra-species comparisons.…”
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Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization by Siyuan Liu, Jixiong Yin, Zhengming Zhang, Yongqiang Zhang, Chao Ai, Wanlu Jiang

“…It utilizes augmented data obtained from the improved symplectic geometry modal decomposition method as additional perturbations, expanding the feature space of limited labeled samples under different operating conditions of the pump. …”
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RUSS-AGE study: Markers of carbohydrate metabolism and their time course in different age groups of a healthy population of the Russian Federation by Anna K. Ilyushchenko, Arina E. Veriaskina, Lubov V. Machekhina, Aleksandra A. Melnitskaia, Olga N. Tkacheva, Andrey A. Tyazhelnikov, Valeriy S. Polunin, Alexander V. Iumukian, Irina D. Strazhesko

“…Blood samples were taken to measure aging markers: glucose (enzymatic ultraviolet method), insulin (chemiluminescent enzyme immunoassay), glycated hemoglobin (calorimetric method), CML, adiponectin, and leptin (enzyme immunoassay). …”
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Prevalence and Fall Risk of Sarcopenia Based on the 2023 Korean Working Group on Sarcopenia Criteria by Minjung Kim, Seongmin Choi, Dong Hwan Yun, Yunsoo Soh, Chang Won Won

“…In men, sarcopenia (defined using gait speed) was associated with fall risk across all thresholds (odds ratio [OR] = 2.28 for ≥1 fall; OR = 5.64 for ≥4 falls). …”
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Research and application of classification warning method for coal spontaneous combustion in goaf under air leakage by Xiaowei ZHAI, Xintian LI, Qinyuan HOU, Teng MA, Bobo SONG, Le HAO

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Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology by A. Z. Kotarba, I. Wojciechowska

“…These methods are the infrared-window method (IRW; <span class="inline-formula"><i>T</i>_b11</span>), the brightness temperature difference method (BTD; <span class="inline-formula"><i>T</i>_b6.7−<i>T</i>_b11</span>), and the temperature difference method with the tropopause method (TROPO; <span class="inline-formula"><i>T</i>_b11−<i>T</i>_tropo</span>). …”
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A New Method for Automatic Glacier Extraction by Building Decision Trees Based on Pixel Statistics by Xiao Liu, Hongyi Cheng, Jiang Liu, Xianbao Su, Yuchen Wang, Bin Qiao, Yipeng Wang, Nai’ang Wang

“…In this study, we used the Kolmogorov–Smirnov test as the theoretical basis and determined the most suitable band calculation indices to distinguish different land cover classes by comparing inter-sample separability and reasonable threshold range ratios of different indices. …”
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Detection method of slight bruises of apples based on hyperspectral imaging and RELIEF-extreme learning machine by ZHANG Meng, LI Guanghui

“…The results showed that the recognition accuracy of ELM model for the test set based on the full wavebands was 94.44%, and the accuracy of the Re-ELM model based on the characteristic wavebands was 96.67%, and the accuracy of the Re-SVM and Re-K mean models for the characteristic wavebands were 92.22% and 91.67%, respectively, which demonstrated that the Re-ELM was a more effective method for the bruise apple classification. Subsequently, an apple damage detection algorithm based on the characteristic wavebands and image processing was proposed, which performed an independent component algorithm (ICA) transformation of the characteristic wavebands, and selected the third component image of the ICA transformation, and used adaptive threshold segmentation to obtain the bruise area on apples. …”
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