Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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Dietary intake and five types of mental disorders: a bidirectional Mendelian randomization study by Yichun Zhang, Mingzhu Zhang, Qihua Guan, Pengcheng Liu, Wangxin Zhang, Song Yang, Hualei Dong, Haifeng Hou

“…Studies have linked mental disorders to poor dietary patterns. The study aimed to estimate the causal relationship between dietary macronutrient intake and mental disorders using a bidirectional two-sample Mendelian randomization (MR) analysis. …”
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FDEM Modelling of Rock Fracture Process during Three-Point Bending Test under Quasistatic and Dynamic Loading Conditions by Huaming An, Yushan Song, Hongyuan Liu

“…After that, the effects of the loading rate on the rock strength and rock fracture toughness are discussed, and the mesh size and mesh orientation on the fracture patterns are also discussed. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…It further enhanced the True Positive Rate (TPR) by 25% through using an online learning algorithm with Incremental Gradient Descent with Momentums. …”
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A comparative study on tobacco prevalence and secondhand smoke exposure before and after the lockdown in Rizhao, China: analysis of 2022 and 2024 data by Zhao-Hui Liang, Gui-Zhi Han, Miao-Miao Liu

“…The results showed that the current smoking rate declined significantly from 32.53 to 25.84% (χ2 = 10.08, p = 0.002), with daily smoking rate also slightly decreased from 20.44 to 19.33% (χ2 = 0.36, p = 0.551). …”
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The Impact of a Plant-Based Diet on Inflammatory Symptoms In Rheumatoid Arthritis: A Review by Justyna Moszkowicz, Tomasz Ufniarski, Aleksandra Piech, Martyna Grodzińska, Maria Kleczkowska, Karol Poplicha, Piotr Sobkiewicz, Karolina Pasierb, Patrycja Kardasz, Bartłomiej Siuzdak, Marta Jutrzenka

“…A systematic analysis of clinical trials and observational studies reveals that vegan, vegetarian, and plant-forward dietary patterns contribute to significant reductions in disease activity scores (DAS28), inflammatory markers such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), and subjective pain and physical function assessments with vegan, vegetarian, and plant-forward dietary patterns. …”
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Characterization and application of a novel Campylobacter phage CC_R7 as a biocontrol agent in chicken meat by Muhammad Shahzad Rafiq, Jie Chen, Muhammad Akmal, Dongxin Ma, Ali Asif, Junhao Wang, Shuaifeng Gu, Yufeng Gu, Pan Tao, Haihong Hao

“…This study examined the antimicrobial resistance patterns in Campylobacter jejuni (C. jejuni) and Campylobacter coli (C. coli). …”
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Performance and limitations of linkage-disequilibrium-based methods for inferring the genomic landscape of recombination and detecting hotspots: a simulation study by Raynaud, Marie, Gagnaire, Pierre-Alexandre, Galtier, Nicolas

“…False positive and false negative hotspots considerably confound fine-scale patterns of inferred recombination under a wide range of conditions, particularly when Ne is small and the mutation/recombination rate ratio is low, to the extent that maps inferred from populations sharing the same recombination landscape appear uncorrelated. …”
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The Interaction of Gender, Occupation, and Fine Phonetic Detail by Melanie Weirich

“…Independent of occupation, men who rated themselves high on femininity were found to have higher mean f0 and more dispersed vowels than men who rated themselves low on femininity. …”
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Estimation of the reserve capacity of Myodes glareolus after acute irradiation using hematological indicators by O. B. Ganzha, V. V. Pavlovskyi

“…Hematological indicators, characterizing the overall condition of performance of the body, were determined dynamically on the first and seventh days after exposure to detect both early changes and the rate of recovery processes. The patterns and features of the main components of leukocyte formula found in peripheral blood of irradiated animals are being discussed. …”
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Proactive and Reactive Response Inhibition across the Lifespan. by Peter Smittenaar, Robb B Rutledge, Peter Zeidman, Rick A Adams, Harriet Brown, Glyn Lewis, Raymond J Dolan

“…Both forms of control rely on overlapping frontostriatal pathways known to deteriorate in healthy aging, an age-related decline that occurs at an accelerated rate in men compared to women. Here we ask whether these patterns of age-related decline are reflected in similar changes in proactive and reactive inhibitory control across the lifespan. …”
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Peer perceptions of clinicians using generative AI in medical decision-making by Haiyang Yang, Tinglong Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, Risa M. Wolf

“…Participants also acknowledged GenAI’s value in improving accuracy (4.30, p < 0.002) and rated institutionally customized GenAI more favorably (4.96, p < 0.001). …”
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Role of arrowworm Sagitta elegans (Chaetognatha) in plankton communities of the western Bering Sea by E. P. Dulepova

“…However, the water circulation patterns in the upper layer were important for them and determined their transport and accumulation. …”
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Numerical Simulation and Metal Fluidity Analysis of Refill Friction Stir Spot Welding Based on 6061 Aluminum Alloy by Di Jiang, Igor Kolupaev, Hongfeng Wang, Xiaole Ge

“…Simulation analysis is a key technical means for studying the internal metal flow patterns in refill friction stir spot welding zones. …”
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Sex‐specific changes in vital signs and common blood tests on the day of influenza diagnosis by Kurt C. Showmaker, Brigitte E. Martin

“…While influenza is primarily a localized respiratory infection, previous studies showed significant changes in pulse rate and temperature on the day of diagnosis. This study expands these findings to further identify diagnostic patterns by analyzing standard blood panels, including complete blood count, metabolic panels, coagulation panels, and C‐reactive protein. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study by Kauser Shaheen, Majid Kaleem, Muhammad Abbas, Asim Iftikhar, Muhammad Ramzan

“…Aggressive behavior in the classroom was linked to low academic engagement ratings, good attitudes toward learning, friends in the classroom, and the perception of teacher support. …”
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

“…A method is proposed that the corresponding AlexNet neural network is trained according to the data of different flow patterns for the problem of slow sample training and low imaging accuracy for the threedimensional image reconstruction algorithm of convolutional neural networks. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060 by Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto

“…To forestall instability, we developed a predictive simulation based on long short-term memory (LSTM) networks that combines historical generation and consumption patterns with models of EV population growth and initial charging-time (ICT). …”
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