Target determination for transcranial magnetic stimulation in patients with a pharmacotherapy-resistant depressive episode based on the individual parameters of resting-state funct... by A. G. Poydasheva, D. O. Sinitsyn, I. S. Bakulin, N. A. Suponeva, N. V. Maslennikov, E. E. Tsukarzi, S. N. Mosolov, M. A. Piradov

“…The investigation enrolled 30 patients with pharmacotherapy-resistant DD who were pseudo-randomized into two groups matched for age, gender, and episode severity. In the study group, the target was located at a point within the left dorsolateral prefrontal cortex (DLPFC) with maximum negative functional connectivity of the subgenual cingulate cortex. …”
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Estimating within-stride metabolic cost from stride-average data using autoencoders and expander networks by Manal Mustafa, Alex C. Dzewaltowski, Alex C. Dzewaltowski, Philippe Malcolm, Keegan J. Moore, Keegan J. Moore

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Identification of Specific Abnormal Brain Functional Activity and Connectivity in Cancer Pain Patients: A Preliminary Resting-State fMRI Study by Hua Y, Geng Y, Liu S, Xia S, Liu Y, Cheng S, Chen C, Pang C, Zhao Z, Peng B, Dai Y, Ji J, Wu D

“…Through statistical analysis, differences in brain functional activity and connectivity between the cancer pain group and the healthy control group were investigated, followed by machine learning classification.Results: The results showed that compared to the normal group, reductions in the ALFF were primarily observed in the bilateral inferior temporal gyrus; ReHo increased in the right middle temporal gyrus and decreased in the left cerebellum Crus2. …”
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Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought by Karina J. Maciejewska

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Upper Limb Evaluation in Duchenne Muscular Dystrophy: Fat-Water Quantification by MRI, Muscle Force and Function Define Endpoints for Clinical Trials. by Valeria Ricotti, Matthew R B Evans, Christopher D J Sinclair, Jordan W Butler, Deborah A Ridout, Jean-Yves Hogrel, Ahmed Emira, Jasper M Morrow, Mary M Reilly, Michael G Hanna, Robert L Janiczek, Paul M Matthews, Tarek A Yousry, Francesco Muntoni, John S Thornton

“…The aims of our study were to explore the responsiveness of upper-limb MRI muscle-fat measurement as a non-invasive objective endpoint for clinical trials in non-ambulant DMD, and to investigate the relationship of these MRI measures to those of muscle force and function.<h4>Methods</h4>15 non-ambulant DMD boys (mean age 13.3 y) and 10 age-gender matched healthy controls (mean age 14.6 y) were recruited. 3-Tesla MRI fat-water quantification was used to measure forearm muscle fat transformation in non-ambulant DMD boys compared with healthy controls. …”
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

“…The reward function does not match the actual situation, resulting in a poor obstacle avoidance effect. …”
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Effects of 1 565 nm non-ablative fractional laser combined with intense pulsed light on post-acne erythema and skin barrier function by ZHENG Yongqing, JIAO Zhigang, REN Shujuan, TANG Tengyan

“…Using R software, propensity score matching was performed between the two groups using the caliper matching method at a 1 ∶1 ratio, resulting in 50 patients in each group. …”
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Reconstruction of reservoir rock using attention-based convolutional recurrent neural network by Indrajeet Kumar, Anugrah Singh

“…We evaluated the reconstruction by measuring pore and throat properties, two-point probability function, and structural similarity index. …”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

“…Optimization of renewable energy systems from an economic standpoint is important not only from the point of view of researchers but also industry owners, stakeholders, and governments. …”
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Interactive dynamic scalp acupuncture enhances brain functional connectivity in bilateral basal ganglia ischemic stroke patients: a randomized controlled trial by Chunxia Zhang, Tao Pang, Yuan Chen, Penghui Lai, Rongrong Nie, Yulong Wang, Shaohua Zhang

“…Resting-state functional MRI (rs-fMRI) assessed baseline FCD differences between groups, with regions showing significant alterations correlated to Fugl-Meyer Assessment (FMA) scores selected as seed points. …”
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Mind wandering in sensory cortices by Shao-Min Hung, Po-Jang Hsieh

“…One particular mental activity that has been identified to recruit such a network is mind-wandering, which points to the functional aspect of mind-wandering as a default system. …”
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Elucidating linear programs by neural encodings by Florian Peter Busch, Florian Peter Busch, Matej Zečević, Kristian Kersting, Kristian Kersting, Kristian Kersting, Kristian Kersting, Devendra Singh Dhami

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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

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Evading control flow graph based GNN malware detectors via active opcode insertion method with maliciousness preserving by Hao Peng, Zehao Yu, Dandan Zhao, Zhiguo Ding, Jieshuai Yang, Bo Zhang, Jianming Han, Xuhong Zhang, Shouling Ji, Ming Zhong

“…Abstract With the continuous advancement of machine learning, numerous malware detection methods that leverage this technology have emerged, presenting new challenges to the generation of adversarial malware. …”
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Long Term Optimal DG Placement Considering Transmission System Reliability and Load Uncertainty by Ali Badri, Mahdy Norouzi

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LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields by Joshua A Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi

“…Our method, which we call LTAU (Loss Trajectory Analysis for Uncertainty), efficiently estimates the full probability distribution function of errors for any test point using the logged training errors, achieving speeds that are 2–3 orders of magnitudes faster than typical ensemble methods and allowing it to be used for tasks where training or evaluating multiple models would be infeasible. …”
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A Lightweight Citrus Object Detection Method in Complex Environments by Qiurong Lv, Fuchun Sun, Yuechao Bian, Haorong Wu, Xiaoxiao Li, Xin Li, Jie Zhou

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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…Focaler inner IoU is incorporated to improve bounding box matching and localization, thereby accelerating model convergence. …”
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A Retrospective, Longitudinal Registry Study on the Long-Term Durability of Ivacaftor Treatment in People with Cystic Fibrosis by Christian Merlo, Teja Thorat, Lisa J. McGarry, Christina V. Scirica, Maral DerSarkissian, Catherine Nguyen, Yuqian M. Gu, Aruna Muthukumar, Joe Healy, Jaime L. Rubin, M. Alan Brookhart

“…An age-matched comparator cohort included people with CF heterozygous for the F508del-CFTR mutation and a minimal function mutation (R117H excluded) and had not received CFTR modulator therapy. …”
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