Protocol for the REBOUND study: a cohort study to uncover fundamental mechanisms of accelerated ageing and impaired resilience following cancer surgery and treatment by Carly Welch, Animesh Acharjee, Rebecca Birch, João Pedro de Magalhães, Niharika A. Duggal, Alison Hainsworth, Jose R. Hombrebueno, Simon W. Jones, Jonathan Lewis, Ali Mazaheri, Helen M. McGettrick, Thomas Nicholson, Judith Partridge, Thomas Pinkney, Claire J Steves, Kristina Tomkova, Daisy Wilson, Thomas A Jackson

“…Cancer surgery and treatment may be associated with accelerated ageing in some older people; studying this process will improve understanding to enable treatments to prevent adverse effects on physical and cognitive function. Methods This study will recruit 172 participants aged 65 years and older scheduled to undergo elective colorectal surgery for cancer from two hospital sites (Guy’s and St Thomas’ NHS Foundation Trust and University Hospitals Birmingham NHS Foundation Trust). …”
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Intelligent data analysis based on natural language processing technology in educational evaluation by Ruili Zheng

“…Abstract Traditional educational evaluation models cannot comprehensively evaluate students' learning effects and learning abilities in advance, and it is also difficult to track the development and changes of students' abilities in the learning process in real time, and cannot accurately recommend appropriate knowledge and learning methods. …”
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Separable dorsal raphe dopamine projections mimic the facets of a loneliness-like state by Christopher R Lee, Gillian A Matthews, Mackenzie E Lemieux, Elizabeth M Wasserlein, Matilde Borio, Raymundo L Miranda, Laurel R Keyes, Gates P Schneider, Caroline Jia, Andrea Tran, Faith Aloboudi, May G Chan, Enzo Peroni, Grace Pereira, Alba López-Moraga, Anna Pallé, Eyal Y Kimchi, Nancy Padilla-Coreano, Romy Wichmann, Kay M Tye

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An open data for imaging acute aerobic exercise effects on brain and mind in emerging adulthood by Li-Kun Ge, Peng Gao, Da Chang, Jing-Jing Nie, Yin-Shan Wang, Xi-Nian Zuo, Gao-Xia Wei

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Cerebellar Transcranial Direct Current Stimulation Effects on Saccade Adaptation by Eric Avila, Jos N. van der Geest, Sandra Kengne Kamga, M. Claire Verhage, Opher Donchin, Maarten A. Frens

“…Transcranial direct current stimulation (tDCS) induces changes in neuronal excitability in a polarity-specific manner and offers a modulatory, noninvasive, functional insight into the learning aspects of different brain regions. …”
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Assessment of Power Transformer Technical State Using Explainable Artificial Intelligence by Khalyasmaa A.I., Matrenin P.V., Eroshenko S.A.

“…The functioning of deeply integrated technological systems in the power industry depends on the quality of power supply systems. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Finally, to address the multi-scale variation of cracks, the original loss function was replaced with WIoUv3. This loss function incorporates an outlier degree evaluation and a dynamic non-monotonic focusing mechanism, which adaptively adjusts the optimization intensity of anchor boxes with varying qualities. …”
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Study Protocol: Investigating the Effects of Transcranial Pulse Stimulation in Parkinson’s Disease by Anna Carolyna Gianlorenço, Lucas Camargo, Elayne Borges Fernandes, Elly Pichardo, Huan Jui Yeh, Dilana Hazer-Rau, Rafael Storz, Felipe Fregni

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PGCF: Perception graph collaborative filtering for recommendation by Caihong Mu, Keyang Zhang, Jiashen Luo, Yi Liu

“…Specifically, for the interaction encoder, we design a neighborhood-perception GCN to enhance the aggregation of interest-related information of the target node during the information aggregation process, while weakening the propagation of noise and irrelevant information to help the model learn better embedding representation. For the loss function, we design a margin-perception Bayesian personalized ranking (MBPR) loss function, which introduces a self-perception margin, requiring the predicted score of the user-positive sample to be greater than that of the user-negative sample, and also greater than the sum of the predicted score of the user-negative sample and the margin. …”
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Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy by Boji Xie, Shuting Pang, Yuli Xie, Yuli Xie, Qiuyan Tan, Shanshan Li, Mujia Jili, Mujia Jili, Yian Huang, Yian Huang, Binran Zhao, Hao Yuan, Hao Yuan, Junhao Mi, Junhao Mi, Junhao Mi, Xuesong Chen, Liangping Ruan, Hong Chen, Xiaolai Li, Boning Hu, Jing Huang, Rirong Yang, Rirong Yang, Wei Li

“…These biomarkers were validated in both a test cohort and an external validation cohort, demonstrating strong predictive accuracy. scRNA-seq confirmed their cell-specific expression patterns, correlating with renal function metrics such as GFR and serum creatinine. …”
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Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia by Huiling Guo, Yao Xiao, Shuai Dong, Jingyu Yang, Pengfei Zhao, Tongtong Zhao, Aoling Cai, Lili Tang, Juan Liu, Hui Wang, Ruifang Hua, Rongxun Liu, Yange Wei, Dandan Sun, Zhongchun Liu, Mingrui Xia, Yong He, Yankun Wu, Tianmei Si, Fay Y. Womer, Fuqiang Xu, Yanqing Tang, Jie Wang, Weixiong Zhang, Xizhe Zhang, Fei Wang

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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…Unlike other furnaces, the VD furnace lacks a heating function, leading to a significant drop in the temperature of molten steel during the refining process. …”
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INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS by COSMIN - CONSTANTIN GRIGORAȘ, ȘTEFAN COȘA, VALENTIN ZICHIL

“…Exploring datasets from a variety of sheet metal forming processes, numerous machine learning models, including ensemble and single learning techniques are investigated. …”
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Analisis Manajemen Perpustakaan dalam Menunjang Kegiatan Pembelajaran Di SMPN Karang Jaya Muratara by Murniyanto Murniyanto

“…The findings of the study reveal that: (1) library planning is carried out through short-term, medium-term, and long-term programs; (2) library organization involves grouping collections and arranging the reading space functionally; and (3) the provision of learning resources such as books, reading areas, and book storage systems has been implemented, although still limited. …”
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What's in it for us? Staff perspectives on the impact of implementing positive behavior support by Fathi Abou Zaid

“…Well-functioning leadership in the classroom creates conditions for teaching, learning, and development. …”
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Circadian Regulation of Hippocampal-Dependent Memory: Circuits, Synapses, and Molecular Mechanisms by Kaitlin H. Snider, Kyle A. Sullivan, Karl Obrietan

“…Circadian modulation of learning and memory efficiency is an evolutionarily conserved phenomenon, occurring in organisms ranging from invertebrates to higher mammalian species, including humans. …”
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Strategies to Promote Research and Logical Reasoning in the Teaching of Mathematics in the Schools by Maureen Camacho-Oviedo

“…Since teachers are called to offer meaningful and functional learning experiences to students, in order to promote the pleasure of learning, teacher training should include experiences that can be put into practice by teachers in the education centers. …”
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From Expert Computational Knowledge to Interdisciplinary Communication by Eva Dokladalova, Rédha Hamouche, Rémy Kocik

“…Our evaluation criteria emphasize functionality, integrated idea defense, and written reports. …”
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GAMIFICATION AS A MODERN TREND IN THE STUDY OF GEOGRAPHY IN GENERAL EDUCATIONAL INSTITUTIONS by Vitaliy Bezugly, Victor Hrushka

“…It is emphasised that gamification in the geography learning process can perform several important functions at school, including: engagement in the educational process, motivation for achievement, development of students’ critical thinking, cooperation and teamwork, and consol- idation of material through repetition. …”
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Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data by Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou, Xueqiang Zhao

“…Social media data plays a vital role in disaster management, while deep learning-based methods gain more attention in typhoon disaster research. …”
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