Beyond behavioral change: evaluating the impact of environmental films on audience perceptions and beliefs about food system issues by Nayla Majestya, Irwanto Irwanto

“…Statistical analysis using paired-sample t-tests revealed no significant differences in belief evaluations before and after viewing either film. …”
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The issue with incidence: a scoping review of reported medication-related osteonecrosis of the jaws (MRONJ) incidence around the globe by Anne-Marie Glenny, Ailish Suzanne Emuss Clark

“…Data extraction by two reviewers included author, year of publication, study design, population—cancer/osteoporosis/both/other, description of population, sampling method, exclusion criteria, single centre Y/N, reported rate of MRONJ cases/number of participants, details of diagnosis and diagnostic criteria, duration of follow-up and location of study.Results The initial search returned 1186 titles, detailed screening and inclusion of additions resulted in 92 articles for data extraction. …”
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Problematic online gaming mediates the association between attention-deficit/hyperactivity and subsequent mental health issues in adolescents by Zui C. Narita, Jordan DeVylder, Gemma Knowles, Shuntaro Ando, Syudo Yamasaki, Mitsuhiro Miyashita, Daniel Stanyon, Satoshi Yamaguchi, Toshiaki A. Furukawa, Kiyoto Kasai, Atsushi Nishida

“…Using data from 3171 adolescents in the Tokyo Teen Cohort, the present study examined the interplay of attention-deficit/hyperactivity at age 12 and problematic online gaming at age 14 associated with mental health issues at age 16. The sample consisted of 1487 girls (46.9%) and 1684 boys (53.1%). …”
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Empowering preservice teachers’ AI literacy: Current understanding, influential factors, and strategies for improvement by Bo Pei, Jie Lu, Xilong Jing

“…The survey was administered to a sample of 200 pre-service teachers in a large public university. …”
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On the Commercialization of the Appropriation of Natural Resources of Celestial Bodies by A. M. Oreshenkov

“…Another issue under study is how, outside the framework of international treaty and customary law, the issue of granting legal entities and individuals the right to appropriate natural resources of celestial bodies (NRCB) is resolved under the pretext of commercializing space activities. …”
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FRRT*-Connect: A Bidirectional Sampling-Based Path Planner with Potential Field Guidance for Complex Obstacle Environments by Wenshan Yan, Xiangrong Xu, Aleksandar Rodić, Petar B. Petrovich

“…The algorithm first introduces a goal-directed attractive force control mechanism, integrating artificial potential field methods to guide the tree expansion more effectively toward the goal, thereby reducing redundant sampling and significantly improving convergence speed. …”
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Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network by Chenxu Bian, Chunni Jia, Jibo Li, Xiangjun Chen, Pei Wang

“…Traditional deep learning methods often struggle due to the scarcity of fault samples, leading to issues like overfitting and inadequate generalization. …”
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An Improved Software Source Code Vulnerability Detection Method: Combination of Multi-Feature Screening and Integrated Sampling Model by Xin He, Asiya, Daoqi Han, Shuncheng Zhou, Xueliang Fu, Honghui Li

“…Existing models face challenges with dataset class imbalance and long training times. To address these issues, this paper introduces a multi-feature screening and integrated sampling model (MFISM) to enhance vulnerability detection efficiency and accuracy. …”
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Representative Sample Size for Estimating Saturated Hydraulic Conductivity via Machine Learning: A Proof‐Of‐Concept Study by Amin Ahmadisharaf, Reza Nematirad, Sadra Sabouri, Yakov Pachepsky, Behzad Ghanbarian

“…However, not much attention has been paid to data heterogeneity in databases and number of samples used to train ML models in hydrology. In this study, we addressed these issues and their impacts on the accuracy and reliability of ML models in the estimation of saturated hydraulic conductivity, Ks. …”
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HouseGanDi: A Hybrid Approach to Strike a Balance of Sampling Time and Diversity in Floorplan Generation by Azmeraw Bekele Yenew, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…However, existing techniques still struggle to balance both sampling time and diversity simultaneously. In response, HouseGanDi proposes a novel hybrid approach that amalgamates GANs and diffusion models to address the dual challenges of diversity and sampling time in floorplan generation. …”
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Fault Diagnosis of Semi-Supervised Electromechanical Transmission Systems Under Imbalanced Unlabeled Sample Class Information Screening by Chaoge Wang, Pengpeng Jia, Xinyu Tian, Xiaojing Tang, Xiong Hu, Hongkun Li

“…To address these issues, this paper proposes a novel semi-supervised fault diagnosis method under imbalanced unlabeled sample class information screening. …”
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Genetic association between celiac disease and chronic kidney disease: a two-sample Mendelian randomization study by Zhimin Chen, Zigui Zheng, Bingjing Jiang, Yanfang Xu

“…To address potential issues related to pleiotropy and overall effects, MR-Egger regression and the MR-PRESSO global test were performed. …”
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Assessing stressor exposure, chemsex use, and adjustment disorder in a sample of men who have sex with men by Martin Robinson, Yafit Levin, Rahel Bachem, Nadia Badran, Kostas Papageorgiou, Emanuele Fino

“…Background: Evidence suggests that men who have sex with men (MSM) experience heightened risk for stressor-related mental health issues. This may be exacerbated among those who engage in chemsex; recreational substance use during sex. …”
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Prevalence and comorbidity rates of disruptive mood dysregulation disorder in epidemiological and clinical samples: systematic review and meta-analysis by Xavier Benarous, Hélène Lahaye, Angèle Consoli, David Cohen, Réal Labelle, Jean-Marc Guilé

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Evaluation of forensic toxicological characteristics of cases under the age of eighteen with substance use: a sample from Türkiye by Kerem Sehlikoğlu, Murat Kamalak, Mehmet Dağlıoğlu, Seval Gülçiçek, Fatma Köse, Hicran Nermin Demir, Tuğba Çakır, Duygu Ülkü, Melek Rüveyda Koca, Demet Dönmez, Beyza Kılınç, Zeynep Bilge

“…Collecting objective, valid, and definitive data will facilitate the identification of substance use issues and support the development of effective preventive policies. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…We present an ensemble model that incorporates different classifiers to address the dataset imbalance issue that is present in most CC datasets. We employed synthetic over-sampling and under-sampling techniques in certain machine learning algorithms to tackle the same issue. …”
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Exponential Synchronization for Stochastic Neural Networks with Mixed Time Delays and Markovian Jump Parameters via Sampled Data by Yingwei Li, Xueqing Guo

“…The exponential synchronization issue for stochastic neural networks (SNNs) with mixed time delays and Markovian jump parameters using sampled-data controller is investigated. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…Predictive maintenance of high-value aero-engines faces a serious challenge: the lack of sufficient failure samples for accurate remaining service life estimation, especially in the case of nonlinear degradation. …”
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Antimicrobial Susceptibility Profiles of Klebsiella pneumoniae Strains Collected from Clinical Samples in a Hospital in Southern Italy by Biagio Santella, Mariarosaria Boccella, Veronica Folliero, Domenico Iervolino, Pasquale Pagliano, Luigi Fortino, Bianca Serio, Emilia Anna Vozzella, Luigi Schiavo, Massimiliano Galdiero, Mario Capunzo, Giovanni Boccia, Gianluigi Franci

“…More than 3,800 isolates were collected from urine cultures, blood cultures, respiratory samples, and others. K. pneumoniae isolates showed broad resistance to penicillin and cephalosporins, and increased susceptibility to fosfomycin and gentamicin. …”
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Exploring Protein Conformational Changes Using a Large‐Scale Biophysical Sampling Augmented Deep Learning Strategy by Yao Hu, Hao Yang, Mingwei Li, Zhicheng Zhong, Yongqi Zhou, Fang Bai, Qian Wang

“…Currently, a major challenge in the development of such models lies in the limited training data characterizing different conformational transitions. To address this issue, molecular dynamics simulations is combined with enhanced sampling methods to create a large‐scale database. …”
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