SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction by Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu

“…The multi-hop neighborhood serialization maps multi-hop information in the PPI Network into serialized feature embeddings, enabling the Graph Transformer to learn deeper functional features within the PPI Network. …”
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The Effects of Virtual Reality-Based Task-Oriented Movement on Upper Extremity Function in Healthy Individuals: A Crossover Study by Tuba Maden, Halil İbrahim Ergen, Zarife Pancar, Antonio Buglione, Johnny Padulo, Gian Mario Migliaccio, Luca Russo

“…<i>Background and Objectives</i>: Although virtual reality (VR) has been shown to be effective in rehabilitation through motor learning principles, its impact on upper extremity function, particularly in the context of console use, remains unclear. …”
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Impact of Venous CONgestion on Organ Function and Outcomes in Sepsis (ICON-Sepsis): a prospective observational cohort study protocol by Hao Ying, Robert R. Ehrman, Robert L. Sherwin, Christian A. Reynolds, Steven J. Korzeniewski, Robert D. Welch, Jeffrey A. Kline, Phillip D. Levy

“…Beginning in the emergency department, cardiac function will be assessed with echocardiography while congestion in the lungs and kidneys will be assessed using previously validated sonographic markers of congestion. …”
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Effectiveness of computer-assisted cognitive training on cognitive function and activities of daily living in patients with post-stroke cognitive impairment by Xiaoyang Feng, Xiaolin Sun, Jia Liu, Yan Li, Yunhai Yao, Jianming Fu, Xudong Gu

“…Secondary outcomes were the Trail Making Test (TMT), the Symbol-Digit Modalities Test (SDMT), the Auditory Verb Learning Test-Huashan version (AVLT-H), the Boston Naming Test (BNT), and the Clock Drawing Test (CDT), which assessed cognitive function across specific domains.ResultsBoth groups showed significant improvements in MMSE, MBI, amplitude of P300, and latency of P300, with the intervention group demonstrating more pronounced improvements compared to the control group. …”
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The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network by Yan Zhang, Shuangshuang Lyu

“…This model incorporates future information guidance and multimodal consistency modeling to improve translation quality and enhance language learning efficiency. The model innovatively integrates target future contextual information with a multimodal consistency loss function, effectively capturing the interaction between text and visual information to optimize translation performance. …”
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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…Traditional approaches rely heavily on remote sensing imagery, which often lacks the contextual information necessary for distinguishing between zones with similar visual features but different functions. This study proposes a novel multi-modal bi-branch deep learning model, named BibDL, which integrates remote sensing imagery with Point-of-Interest (POI) data for UFZ classification. …”
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Adaptation and validation of the Washington group/unicef child functioning module in a nationally representative sample of Canadian children and youth by Emma Nolan, Katherine Cost, Ryan Miller, Li Wang, Chen Yun-Ju, Jordan Edwards, Eric Duku, Stelios Georgiades, Peter Szatmari, Harriet MacMillian, Charlotte Waddell, Katholiki Georgiades

“…Abstract Background The Washington Group/UNICEF Child Functioning Module (WG/UNICEF CFM) was developed to identify children and youth with disabilities by assessing functional difficulties. …”
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Exploring the effects of moxibustion on cognitive function in rats with multiple cerebral infarctions from the perspective of glial vascular unit repairing by Jingji Wang, Jingji Wang, Kunrui Du, Chang Liu, Xiaoyu Chen, Wenming Ban, Guoqi Zhu, Jun Yang, Jun Yang

“…Importantly, after PDGFRβ inhibition, VD rats treated with moxibustion had impaired learning and memory, decreased cerebral blood flow, and BBB disruption.ConclusionMoxibustion treatment at various GV acupoints improved cerebral blood flow and repaired BBB function in rats with MMI, likely through protecting GVU.…”
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Exploring the association between hemoglobin glycation index and cognitive function in older adults with hypertension: a cross-sectional study by Hong Ding, Tingyue Kang, Wenbo Gao, Qi Wang, Shu Liu, Xiaowei Zhang, Jing Yu

“…The cross-sectional study focused on evaluating the cognitive function of hypertensive individuals (≥ 60 years old), based on the data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES), by using a series of standardized tests, including the Word List Learning (CERAD-WL) and Delayed Recall (CERAD-DR) tests from the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). …”
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Impact of domestic white LED light on cognitive functions and amelioration of blue light blocking lens (BBL) on healthy adults by Mousumi Ghosh, Hari Prakash Palaniswamy, Nishitha. G, Stelyna Joylin, Shwetha. T.S, M. Sanjana, R.P. Radhika, Nagarajan Theruveethi

“…The participants' mean PSQI and Mini-Cog™ scores (n = 15) were 3 and 5, respectively. The behavioral functioning of participants using a 2-back task revealed enhancement in working memory cognition by fastening the response time (ms) from base to post-WLED to post-WLED + BBL (p < 0.001). …”
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Tathwiiru Mawaad Ta'liim Al-Lughah Al'Arabiyah fil Ma'aahid As-Salafiyah Min Mandhuuri Mu'aayiri Muhtawa Manhaj Ta'liim Al-Lughah Al'Arabiyah lin Naathiqiina Bighairiha by Ahmad Ubaedi Fathuddin

“…The research result shows that Arabic learning material should consist of three language competence; they are aspect of language, aspect of culture, and language function as a means of communication.…”
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Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The input and output data of the SNM are a small sample of full wavefield data and the weights of a polynomial function, respectively. A linear weighted sum method is employed to represent the SNM outputs (weights), the full wavefield data, and field parameters as a polynomial function of the primaries, which is matched with adaptive subtraction label data. …”
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Targeting early tau pathology: probiotic diet enhances cognitive function and reduces inflammation in a preclinical Alzheimer’s model by Cassandra M. Flynn, Tamunotonye Omoluabi, Alyssa M. Janes, Emma J. Rodgers, Sarah E. Torraville, Brenda L. Negandhi, Timothy E. Nobel, Shyamchand Mayengbam, Qi Yuan

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The Impact of Different Types of Exercise on Executive Functions in Overweight/Obese Individuals: A Systematic Review and Network Meta-Analysis by Jia Guo, Jingqi Liu, Ruihan Zhu, Guochun Liu, Man Zheng, Chunmei Cao

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Study on Liutex-driven reward for intelligent flow control by dynamic feature-based deep reinforcement learning by Qi Wang, Xiangrui Dong, Sunyu You, Xiaoshu Cai

“…The issue of flow separation over an airfoil under weak turbulent conditions is addressed and resolved through the deep reinforcement learning (DRL) strategy. To suppress the generation of separation flow and the instability of the vortex shedding alley over an airfoil, a novel reward function named RLiutex, considering the suppression of the rigid rotation intensity and core size of the vortex, is first proposed in this paper. …”
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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

“…After applying SMOTE-ENN, the class distribution became more balanced, allowing the model to learn patterns more effectively. The MLP model was designed with two hidden layers comprising 64 and 32 neurons, respectively, using the ReLU activation function in the hidden layers and a sigmoid function in the output layer. …”
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Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances by Vina Putri Virgiani, Shiro Masuda

“…Q-learning optimizes the state-action policy by estimating the Q-function iteratively. …”
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Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements by Nobuji Kouno, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Naoaki Ishiguro, Katsuji Takeda, Ayumu Matsuoka, Maiko Fujimori, Kazuki Yokoyama, Shun Yamamoto, Yoshitaka Honma, Ken Kato, Kazutaka Obama, Ryuji Hamamoto

“…Assessing objective physical function in patients with cancer is crucial for evaluating their ability to tolerate invasive treatments. …”
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Metformin-improved cognitive impairment in patients with schizophrenia is correlated with activation of tricarboxylic acid cycle and restored functional connectivity of hippocampus by Jingda Cai, Jingmei Xiao, Yujun Long, Ting Cao, Chenquan Lin, Gangrui Hei, Weiyan Wang, Dongyu Kang, Jing Huang, Tiannan Shao, Hualin Cai, Renrong Wu

“…Moreover, metformin-improved cognition (working memory and verbal learning) and hippocampal functional connectivity (right caudal hippocampus and right middle frontal gyrus) were associated with changes in TCA cycle metabolites. …”
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A novel peptide inhibitor of TRPM2 channels improves recovery of memory function following traumatic brain injury by James E. Orfila, Robert M. Dietz, Christian Schroeder, Olivia P. Patsos, Amelia Burch, Kiara E. Bahamonde, Kelley A. Coakley, Danelle J. Carter, Amy C. Clevenger, Tara B. Hendry-Hofer, Tuan D. Le, Joseph K. Maddry, Joseph K. Maddry, Joseph K. Maddry, Steven G. Schauer, Steven G. Schauer, Steven G. Schauer, Vikhyat S. Bebarta, Paco S. Herson

“…Mice administered tat-M2NX 2 h after TBI exhibited a significant reduction of freezing behavior compared to control tat-scrambled (tat-SCR)-treated mice, suggesting improvement in memory function after TBI. To test the effect of TBI on hippocampal long-term potentiation (LTP), a well-established cellular model of synaptic plasticity associated with changes in learning and memory, extracellular field recordings of CA1 neurons were performed in hippocampal slices prepared 7 days after TBI. …”
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