Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

“…Abstract Background Theoretical models of conduct disorder (CD) highlight that deficits in emotion recognition, learning, and regulation play a pivotal role in CD etiology. …”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

“…Up now, several conventional and advanced imaging modalities were used for distinguishing between these tumors with different success rates. …”
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Examining the Effect of Prototypical Leadership Style on Leader Effectiveness: Mediating role of Perceived Integrity and Moderating Role of Leader-leader Exchange by Elham Ebrahimi, SHabnam Zarjou

“…In other words, the relationship between prototypical leadership and leader effectiveness required a mediating link, and the perceived integrity of the leader as a mediating variable played the role of this mediating link. …”
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Sequential recommendation based on contrast enhanced time-aware self-attention mechanism by YU Yang, WANG Ruiqin

“…Experimental studies conducted on six datasets of different fields and scales show that CTiSASRec outperforms state-of-the-art sequential recommendation models.…”
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A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

“…The proposed method was compared with various deep learning-based approaches in terms of the Dice similarity coefficient, Jaccard index, precision, and recall serving as evaluation metrics. Results Experiments were conducted on real brain PET/MR images from 120 patients. …”
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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Alzheimer's disease (AD) is a multifaceted neurodegenerative condition distinguished by the occurrence of memory impairment, cognitive deterioration, and neuronal impairment. …”
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Differed brain spontaneous neural activity between limb-onset and bulbar-onset amyotrophic lateral sclerosis patients by Si-Jie Chen, Qing-Yang Li, Jiang Zhou, Qian Wu, Yu Zhang, Qian-Qian Zhang, Hao Hu, Xiao-Quan Xu, Fei-Yun Wu, Qi Niu

“…Correlation analyses with clinical measures were conducted. Support vector machine (SVM) analysis was performed to distinguish ALS subtypes. …”
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THE ROLE OF GENDER IN THE USE OF LANGUAGE IN ONLINE INTERACTIONS: KURDISH INTERLOCUTORS AS NON-NATIVE ENGLISH SPEAKERS by Bikhtiyar Fattah

“…It aims at figuring out the contributive role of language to the identification of the interlocutors’ gender, determining the influence of cultural norms on shaping the online communication patterns of Kurdish interlocutors(males and females), and identifying the frequency use of the essential linguistic elements, strategies and styles that distinguishes males’ interactions from females’. …”
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Exploring ketogenic diet resistance in glucose transporter type 1 deficiency syndrome: A comprehensive review and critical appraisal by Raffaele Falsaperla, Vincenzo Sortino, Gerhard Josef Kluger, Thomas Herberhold, Andrea Rüegger, Pasquale Striano, Martino Ruggieri, Joerg Klepper, Georgia Ramantani

“…Our goal is to improve counseling and prognostication for these patients. So, we conducted a comprehensive literature review on PubMed, focusing on studies documenting pediatric GLUT1DS patients with drug‐resistant epilepsy unresponsive to KDT. …”
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Exploring proteomic immunoprofiles: common neurological and immunological pathways in multiple sclerosis and type 1 diabetes mellitus by Fátima Cano-Cano, Almudena Lara-Barea, Álvaro Javier Cruz-Gómez, Francisco Martín-Loro, Laura Gómez-Jaramillo, María Carmen González-Montelongo, María Mar Roca-Rodríguez, Lucía Beltrán-Camacho, Lucía Forero, Javier J. González-Rosa, Mª Carmen Durán-Ruiz, Ana I. Arroba, Manuel Aguilar-Diosdado

“…Proteomic analysis of peripheral blood mononuclear cells (PBMCs) is an ideal approach for identifying novel and potential biomarkers for both autoimmune diseases. …”
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Clinical characteristics and prognosis of amyopathic dermatomyositis patients with interstitial lung disease: insights from a retrospective cohort by Yanan Ying, Tingting Wu, Long Wang, Yun Zhang, Yiming Yu, Zaichun Deng, Qunli Ding

“…The serum LDH levels could be used to distinguish patients with ADM-NSIP/OP (sensitivity: 73.91%, specificity: 82.64%). …”
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