What matters to patients with multiple sclerosis? Identifying patient-relevant attributes using a ranking exercise with open-ended answers from an online survey in Italy by Maria Pia Amato, Ulrik Kihlbom, Emilio Portaccio, Karin Schölin Bywall, Jennifer Viberg Johansson, Sylvia MARTIN, Claudia Niccolai, Guido Pasquini, Filippo Gerli, Sara Della Bella, Matteo Betti

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從工具示能性與關係行動主體之觀點 探討偏鄉教育系統賦能策略之研究 Investigating the Construction of Empowerment Action Models in Remote Educational Systems Through the Lenses of Tool Affordance and Relational Age... by 陳佩英 Peiying Chen, 洪琴雯 Chin-Wen Hung

“…The team members progressed from initial individual learning to developing organizational practice action plans. …”
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Postbiotics Regulate Intestinal Microbiota and Reduce Amyloid β-Protein Deposition in the Brain, Thereby Ameliorating Cognitive Impairment in Rats with Alzheimer’s Disease by XIAO Ling, TANG Linlin, SONG Xiaoyan, ZHANG Yihua, HAN Xuemei, LÜ Houjiao, LIANG Wu, WANG Yanping, GENG Weitao, JIA Longgang

“…This study aimed to investigate the impact of three postbiotics at different doses on cognitive function in a rat model of Alzheimer’s disease (AD) induced by D-galactose combined with AlCl3. …”
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Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

“…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”
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KaiXinSan-JiaWei ameliorates cognitive dysfunction in APP/PS1 mice by intervening in gut microbiota and its metabolites by Lulu Mana, Fang Chen, Xiaoxia Yuan

“…Meanwhile, KXSJW restored the intestinal barrier function and improved the release level of intestinal peptide hormones (Glucagon, GHRP-Ghrelin) in AD model mice. …”
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DMYTRО DONTSOV’S TEXTS IN THE ASPECT OF CORPUS LINGUISTICS AND LEXICOGRAPHY by Oksana R. Mykytyuk, Liliia V. Kharchuk

“…Through the use of large-scale empirical data and advanced computer technologies to reach objective insights into language function, linguistic corpora have quickly become invaluable resources. …”
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Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma by Liangyu Zhang, Liangyu Zhang, Jianshen Zeng, Jianshen Zeng, Xun Zhang, Xun Zhang, Menglong Zhang, Menglong Zhang, Yilin Lin, Yilin Lin, Fancai Lai, Fancai Lai

“…Differentially expressed genes between the two clusters were then used to construct the BREGI using 32 algorithms, including traditional regression, machine learning, deep learning, and 274 different combinations. …”
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Hand Motion Control Ability Between Young and Older Adults: Comparative Study by Jung-Soon Kim, Hui-Jun Kim, Minju Kim, Sung-Hee Kim

“…Younger participants performed more rotations (B=5.29, P=.002), demonstrated a greater range of motion (B=1334.37, P=.007), and completed the task in less time (B=0.99, P=.003), indicating age-related differences in upper limb motor function. Trial order also had a significant main effect on rotation count and angle. …”
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DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure by Wenwu Tang, Wenwu Tang, Zhixin Wang, Xinzhu Yuan, Liping Chen, Haiyang Guo, Zhirui Qi, Ying Zhang, Xisheng Xie

“…In addition, we further explored potential mechanism and function of hub genes in HF of patients with MHD through GSEA, immune cell infiltration analysis, drug analysis and establishment of molecular regulatory network.ResultsTotally 23 candidate genes were screened out by overlapping 673 differentially expressed genes (DEGs) and 147 key module genes, of which four hub genes (DEPDC1B, CDCA2, APOBEC3B and TYMS) were obtained by two machine learning algorithms. …”
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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…Transformer-based deep learning models were used to learn relationships between different brain regions and construct structural connectivity networks. …”
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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

“…The optimization algorithm was selected as Adaptive Moment Estimation (Adam), and the root mean squared error (RMSE) served as the loss function. Hyperparameters, including the number of epochs (150) and batch size (64), were determined empirically to balance computational efficiency and model performance. …”
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Education of children with disabilities in New Delhi: When does exclusion occur? by Parul Bakhshi, Ganesh M Babulal, Jean-Francois Trani

“…Since 2000, considerable progress has been made towards improving access to school for children in India, yet questions remain regarding not just children with disabilities' access and acquisition of basic learning skills, but also completion of learning cycles.…”
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Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…During training, the model's loss function exhibited faster and more stable convergence. …”
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Digital education and exercise therapy versus minimal intervention for young people at high risk of early onset knee osteoarthritis after ACL reconstruction: a study protocol for t... by Jackie L. Whittaker, Amanda Cammalleri, Candice Archibald, Alexandra Brooks-Hill, Patrick Chin, Sarah Clark, Jennifer C. Davis, Alison M. Hoens, Michael A. Hunt, Karin Kausky, Angelina Ko, Lise Leveille, Linda C. Li, Parth Lodhia, Justin M. Losciale, Maxi Miciak, Amber D. Mosewich, Adnan Sheikh, Trish Silvester-Lee, Linda K. Truong, Dominic Wade, David R. Wilson, Hui Xie, Xian He Yan, Ewa M. Roos

“…This study will assess if a digital education and exercise therapy intervention is superior to minimal intervention for improving knee-related symptoms, function, and quality of life in young people after ACLR. …”
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Multi-omics characterization of early chronic obstructive pulmonary disease by Bolun Li, Jiangfeng Liu, Yinghao Cao, Yiyang Wang, Sinan Wu, Huiyuan Hu, Xingqi Xiao, Jiantao Hu, Qian Wang, Junlin Wu, Le Luo, Yong Liu, Qihao Tang, Yanjiang Xing, Tiantian Zhang, Jinyu Zhou, Lin Wang, Juntao Yang, Jing Wang, Chen Wang

“…Metabolomics analysis of the plasma identified 1788 metabolites, 137 of which were found linked to ECOPD. Machine learning models indicated that a multi-omics approach provided the best predication of lung function (R2 = 0.74), while proteomics alone effectively diagnosed ECOPD (AUC = 0.949). …”
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The effects of dance intervention on clinical symptoms and cognitive deficits in hospitalized patients with chronic schizophrenia: a randomized controlled trial by Gujing Li, Hui He, Kexin Gao, Yuanyuan Yu, Yayun Liu, Tianhuan Li, Ping Xi, Frank Pollick, Jing Lu, Lixue Yin, Dezhong Yao, Mingjun Duan, Li Mi, Cheng Luo

“…Conclusion While both interventions resulted in improvements in clinical symptoms and cognitive function, the dance intervention specifically enhanced attention and verbal memory. …”
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GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification by Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu

“…Many machine learning methods have been applied to learn from brain images or networks in Euclidean space. …”
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L’apprentissage par cœur, au-delà de la polémique by Yvan Abernot, Jacques Audran, Éric Penso

“…Our study proposes a reflexive approach, but also an investigation that tries to bear the hypothesis of a complementarity between learning by heart and comprehension.After having defined the concept, we try to classify the objects and functions of learning by heart to make emerge its advantages and risks.To support this problematic, we have analyzed the answers of thirty four elementary school teachers who position themselves and enrich the reflexion.It seems that beyond the representations sometimes dogmatic, or even ideological, of specialists and partners of education, the process of learning by heart could take part in an ambitious project, as long as it is not reduced to psittacism or evaluation facilities.…”
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Fertility preservation by ovarian tissue cryopreservation of children in China——umbilical single-incision surgery and perioperative experience by Zheng Qipeng, Liu Jing, Su Yun, Li Zexi, Cao Zhenhua, Chen Meng, Zhou Yan, Zhang Hua, Wang Zecheng, Tian Yu, Ruan Xiangyan, Wu Yurui

“…The number of umbilical single-incision laparoscopic oophorectomy had been increasing year by year. The learning curve analysis indicated that the first 35 cases were the learning and improvement phase. …”
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(Digital) Media as Critical Pedagogy by Maximillian Alvarez

“…Rather than promoting a critical model of learning by which students and teachers can explore the matrix of possibilities “afforded†by their relationship to new media, the techno-fetishist instrumentality of “technology-enhanced learning†functions as an efficient means of materializing neoliberal market ideology and adjusting us to accepting our positions as self-contained users of discrete tools that define for us what the goals and processes of learning will be. …”
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