Exploring the influence of teacher-student relationships on Chinese language learning through the mediating role of student's self-efficacy: Foreign language classroom anxiety as a... by Ran An, Huan Zhang, Ahsan Akbar, Syed Arslan Haider

“…This study aims to examine the impact of the teacher-student relationship (TSR) on learning Chinese as a second language among Pakistani students. …”
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Deep learning based predictive modeling to screen natural compounds against TNF-alpha for the potential management of rheumatoid arthritis: Virtual screening to comprehensive in si... by Tasnia Nabi, Tanver Hasan Riyed, Akid Ornob

“…The adverse effects and toxicity associated with conventional RA treatment pathways underscore the critical need to seek potential new therapeutic candidates, particularly those of natural sources that can treat the condition with minimal side effects. To address this challenge, this study employed a deep-learning (DL) based approach to conduct a virtual assessment of natural compounds against the Tumor Necrosis Factor-alpha (TNF-α) protein. …”
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept stu... by Lorenzo Ruinelli, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, Antonio Bellasi

“…The database was divided into training and validation sets. Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…”
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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

“…In addition to primary surgery, adjuvant therapy, including chemotherapy and radiotherapy, is also necessary to treat these patients. We used a machine learning tool to determine the factors that may be associated with and predict treatment outcome. …”
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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…MethodsWe devised a hybrid deep learning–based feature selection approach to support early detection of negative long-term behavioral outcomes in survivors of cancer. …”
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Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning by ZHANG Di, WU Yi, XU Yu

“…Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer (NSCLC) patients undergoing surgical resection. …”
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Effect of Aronia Melanocarpa Fruit Juice on Fearning and Memory in the Two-Way Active Avoidance Task in Rats by Stefka Valcheva-Kuzmanova, Miroslav Eftimov, Iren Beleheva, Roman Tashev, Stiliana Beleheva

“…These effects were more pronounced in rats treated with AMFJ for 30 days. The learning and memory effects of AMFJ are probably due to its polyphenolic constituents. …”
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Applications of artificial intelligence in drug discovery for neurological diseases by Sean Ekins, Thomas R. Lane

“…What are absent are drugs that can treat or cure the disease. Discovering these is challenging, held back by extreme costs to develop them or in some cases by the limited understanding of the diseases. …”
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GeoDGP: One‐Hour Ahead Global Probabilistic Geomagnetic Perturbation Forecasting Using Deep Gaussian Process by Hongfan Chen, Gabor Toth, Yang Chen, Shasha Zou, Zhenguang Huang, Xun Huan

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Association of early enoxaparin prophylactic anticoagulation with ICU mortality in critically ill patients with chronic obstructive pulmonary disease: a machine learning-based retr... by Shan Lin, Jing Zhang, Xin Dang, Qingyuan Zhan

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Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma by Cong Ding, Yue Kang, Fan Bai, Genji Bai, Junfang Xian

“…Therefore, this study aimed to develop an MRI-based deep learning score (DLS) to non-invasively assess PD-L1 expression status in HNSCC patients and evaluate its potential effeciency in predicting prognostic stratification following treatment with immune checkpoint inhibitors (ICI). …”
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Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according... by Lulu Liu, Qian Ma, Guangzan Yu, Xuhou Ji, Hua He

“…Moreover, we employed Boruta algorithm to evaluate the predictive potential of the NMa ratio and established the prediction models utilizing machine learning algorithms. Results After adjusting for confounders, each unit increase in the NMa ratio was associated with a 1.8% and 1.6% higher risk of 30-day and 90-day all-cause mortality, respectively (P < 0.001), indicating a linear relationship, and when treated as a categorical variable, the Quartile 4 group demonstrated a significantly higher mortality risk. …”
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Machine learning–guided single-cell multiomics uncovers GDF15-driven immunosuppressive niches in NSCLC: A translational framework for overcoming anti-PD-1 resistance by Xianfei Zhang, Zhengxin Yin, Xueyu Chen, Nengchong Zhang, Shengjia Yu, Congcong Zhu, Lianggang Zhu, Liulan Shao, Bin Li, Runsen Jin, Hecheng Li

“…We integrated multiomics profiling with machine learning to systematically identify determinants of ICB efficacy. …”
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Genotypic Characterisation and Risk Assessment of Virulent ESBL-Producing <i>E. coli</i> in Chicken Meat in Tunisia: Insights from Multi-Omics Machine Learning Perspective by Khaled Abdallah, Ghassan Tayh, Elaa Maamar, Amine Mosbah, Omar Abbes, Ismail Fliss, Lilia Messadi

“…In our study, we were able to link the expression of AMR to the iron metabolic regulatory elements using a multimodal machine learning approach; this mechanism could be targeted to mitigate the bacteria virulence and resistance. …”
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The impact of an electronic learning intervention to support appropriate antibiotic prescribing behaviour by non-medical prescribers for upper respiratory tract infections in the p... by Clare Hawker, Molly Courtenay, Angel Chater, Rose Gallagher, Rosemary Lim, Nicholas Reid, Neil Thomas, Adam DN Williams

“…This study aimed to assess the feasibility and perceived impact of a theory-based electronic learning intervention designed to support appropriate antibiotic prescribing by non-medical prescribers for URTIs in primary care settings. …”
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Electroacupuncture Improves Learning and Memory Impairment in Rats with Cerebral Ischemia/Reperfusion Injury by Promoting Microglia/Macrophage M2 Polarization Through Nrf2/HO-1 Pat... by Xiao Y, Bai Y, Sun K, Wan J, Chen L, Chen S, Wang Y, Li W, Liu A

“…The goal of this study was to investigate whether EA improves learning and memory deficits in MCAO rats by regulating microglia/macrophage polarization through the nuclear factor red lineage 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) signaling pathway.Methods: Sprague-Dawley rats were subjected to MCAO modeling and treated with EA 24 hours post-MCAO for a period of two weeks. …”
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Restoring endogenous Dlg4/PSD95 expression by an artificial transcription factor ameliorates cognitive and motor learning deficits in the R6/2 mouse model of Huntington’s disease by Germán Fernández, Kevin Leiva, Fernando J. Bustos, Brigitte van Zundert

“…Importantly, AAV9-PSD95-6ZF-VP64 effectively improved hippocampal-dependent deficits in spatial learning and memory in young adult HD mice, as well as impairments in motor coordination and motor skill learning, with these benefits persisting into adulthood. …”
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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

“…Understanding amyloid protein’s mechanisms and identifying them at an early stage plays an essential role in treating AD as well as prevalent amyloid-related diseases. …”
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Literature Review for Implementing and Developing Critical Thinking in Elementary School by Carina Nădăban, Alina Felicia Roman

“…Right thinking involves treating all points of view equally, without reference to one's feelings or interests, or those of a friend, company, community, or nation. …”
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Hybrid 3D CNN-LSTM Model for rs-fMRI-Based Parkinson’s Prediction by Salman Ibne Eunus, Sakib Rokoni, Mitheela Das Armisha, Jasia Hossain Omi, Asika Islam, Farah Binta Haque

“…Including vocabulary learning increases the model’s ability to recognize neuroimaging characteristics linked to Parkinson’s disease. …”
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