Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development by Jessica Steward, Michelle L Moulds, Colette R Hirsch

“…In phase 3, we additionally learned that ease of navigation and interactivity were key to maintaining user engagement. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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Measuring attitudes towards ethnic minority patients: the revalidated REMP-3 instrument for graduate healthcare practitioners by Stijn Schelfhout, Robin Vandecasteele, Sara Willems, Eva Derous, Stéphanie De Maesschalck

“…As theoretically predicted, the REMP-3 also functions as a measure of intercultural attitudes in an intercultural competence framework. …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…Using machine transformer, human feedback reinforcement learning and other technologies to create its own open source chat machine model with intelligent interactive question and answer, text and image multi-mode generation, semantic search and discrimination and other functions, the application scenario covers a range of areas from basic library information services to intelligent knowledge services. …”
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Educational trajectories of school graduates of the Russian industrial region by I. A. Aleshkovski, A. I. Moteva, N. E. Savina, A. T. Gasparishvili, O. V. Krukhmaleva

“…At the stage of data analysis in the SPSS 25 functional environment, primary data were processed and the results were presented using descriptive statistics methods; an in-depth analysis of empirical information was carried out using multidimensional methods of analytical statistics, including the Pearson’s χ2 significance test, the procedures of factor, correlation and regression analysis (p < 0.001).Research results and scientific novelty. …”
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Anoikis-related genes predicts prognosis and therapeutic response in renal cell carcinoma by Lizhi Zhou, Hengcheng Lu, Bin Fu, Jianhan Fu

“…Using Cox regression and machine learning, our model achieved a 5-year area under curve (AUC) of 0.79, surpassing existing models in predictive performance. …”
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Setting the tone for the day: Cortisol awakening response proactively modulates fronto-limbic circuitry for emotion processing by Changming Chen, Bingsen Xiong, Wenlong Tan, Yanqiu Tian, Shouwen Zhang, Jianhui Wu, Peng Song, Shaozheng Qin

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Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study by Zhongqiu Tian, Wenfang Tang, Long Wen, Zhixiong He, Yanyan Fang, Yubin Fan, Yan Peng, Linyan Xu, Bin Li, Xuelian Chen

“…We characterized gene functions using GO analysis, evaluated immune cell infiltration with CIBERSORT/ESTIMATE, and performed weighted gene co-expression network analysis to identify functional gene modules associated with phenotypic traits. …”
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Liquid biopsy diagnostics for non-small cell lung cancer via elucidation of tRNA signatures by Zhuokun Feng, Masaki Nasu, Gehan Devendra, Ayman A. Abdul-Ghani, Owen T. M. Chan, Jeffrey A. Borgia, Zitong Gao, Hanqiu Zhang, Yu Chen, Ting Gong, Gang Luo, Hua Yang, Lang Wu, Yuanyuan Fu, Youping Deng

“…Methods We developed a machine-learning model to analyze small RNA sequencing data from 1446 tissue samples to identify a diagnostic tRNA signature. …”
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Deciphering the role of miRNA-mRNA interactions in cerebral vasospasm post intracranial hemorrhage by Xiang Chu, Xiang Chu, Xiyan Zhu, Honghao Xu, Wenbing Zhao, Debin Guo, Xing Chen, Jinze Wu, Lei Li, Hao Wang, Jun Fei

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Development and validation of a CT-based multi-omics nomogram for predicting hospital discharge outcomes following mechanical thrombectomy by Feifan Liu, Jiayi Hong, Yuhan Chen, Huan Liu, Yue Wang, Lijian Su, Sheng Hu, Jingjing Fu

“…ObjectiveThis study aimed to develop a multi-omics nomogram that combines clinical parameters, radiomics, and deep transfer learning (DTL) features of hyperattenuated imaging markers (HIM) from computed tomography scans immediately following mechanical thrombectomy (MT) to predict functional outcomes at discharge.MethodsThis study enrolled 246 patients with HIM who underwent MT. …”
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Moderate-to-vigorous group aerobic exercise versus group leisure activities for mild-to-moderate depression in adolescents: study protocol for a multicentre randomised controlled t... by Carl Johan Sundberg, Andreas Ivarsson, Ingrid Larsson, Eva Serlachius, Maria Lalouni, Fabian Lenhard, Håkan Jarbin, Rebecca Mortazavi, Jessica Norrbom, Emma Haglund, Tina Cronqvist, Kristina Ingemarsson, Åsa Mårsell, Olof Rask, Rebecca Andersson

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Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model. by Ramon Melser, Nicholas C. Coops, Michael A. Wulder, Chris Derksen, Sara H. Knox, Tongli Wang

“…In response to these challenges, we applied the remote sensing-based CAN-TG framework to estimate boreal GPP, leveraged through a random forest (RF) machine learning approach that does not assume linear or functional relationships between input variables and productivity. …”
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STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data by Wei Zhang, Weiming Zeng, Hongyu Chen, Jie Liu, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

“…<b>Comparison with existing methods</b>: STANet significantly outperforms traditional classifiers, deep learning classifiers, and functional connectivity-based classifiers. …”
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A randomized trial of adapted versus standard versions of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction implemented via facilitation and delivered by communi... by Allison G. Harvey, Emma R. Agnew, Rafael Esteva Hache, Julia M. Spencer, Marlen Diaz, Estephania Ovalle Patino, Anne Milner, Lu Dong, Amy M. Kilbourne, Daniel J. Buysse, Catherine A. Callaway, Laurel D. Sarfan

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Vagus nerve stimulation in dementia: A scoping review of clinical and pre-clinical studies by Ronald Kamoga, Godfrey Zari Rukundo, Samuel Kalungi, Wilson Adriko, Gladys Nakidde, Celestino Obua, Johnes Obongoloch, Amadi Ogonda Ihunwo

“…The main reported outcomes of VNS in the dementia cases were enhanced cognitive functions, an increased functional connectivity of various brain regions involved in learning and memory, microglial structural modifications from neurodestructive to neuroprotective configurations, a reduction of cerebral spinal fluid tau-proteins, and significant evoked brain tissue potentials that could be utilized to diagnose neurodegenerative disorders. …”
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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Stu... by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

“…Studies emphasizing functional enrichment have highlighted the significance of inflammation pathways, particularly the NOD-like receptor signaling route. …”
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Identification and evaluation of metabolic mRNAs and key miRNAs in colorectal cancer liver metastasis by Guanxuan Chen, Shiwen Wang, Meng Zhang, Wenna Shi, Ruoyu Wang, Wanqi Zhu

“…Additionally, we conducted a functional enrichment analysis and constructed a network of miRNA-targeted mRNAs. …”
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Pedagogia, instituts d'educació secundària i orientació educativa Pedagogía, institutos de educación secundaria y orientación educativa Pedagogy, secondary education institutes and... by Xavier Besalú

“…<br>In this article, we aim to define, describe and highlight the functions of teachers in secondary education institutions. …”
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Antifungal Activity and Cytotoxicity of Imidazole- and Morpholine-Based Lysosomotropic Detergents by Diana Hodyna, Vasyl Kovalishyn, Yurii Shulha, Olena Trokhimenko, Olesya Aksenovska, Sergiy Rogalsky, Larysa Metelytsia

“…To synthesize and to determine the antifungal activity and cytotoxicity of imidazole- and morpholine-based lysosomotropic detergents (LDs) comprising both dodecyl radicals and ester-functionalized long alkyl chains. Methods. To develop the QSAR models by the OCHEM platform, machine learning methods such as Transfor­mer Convolutional Neural Network (Trans-CNN), Transformer Convolutional Neural Fingerprint (Trans-CNF), and Random Forest (RF) were used. …”
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