Augmenting Parenting Programs With the Pause Mobile App: Mixed Methods Evaluation by Nathan Hodson, Peter Ivor Woods, Stephanie Donohoe, Juan Luque Solano, James Gardner, Manuel Giardino, Michael Sobolev, Domenico Giacco

“…Interviews also revealed specific opportunities for improving the user interface and for addressing challenges in the journaling function. ConclusionsThis pilot study found good acceptability and engagement with Pause. …”
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Glutamatergic lateral habenula neurons modulate consolidation of associative memories by Snigdha Srivastava, Snigdha Srivastava, Snigdha Srivastava, Snigdha Srivastava, I-Ching Wang, Mikhail Y. Kochukov, Mikhail Y. Kochukov, Jessica L. Swanson, Mauro Costa-Mattioli, Benjamin R. Arenkiel, Benjamin R. Arenkiel, Benjamin R. Arenkiel, Benjamin R. Arenkiel, Benjamin R. Arenkiel

“…While this aligns with known roles in driving aversive states and regulating serotonin release, it is still unclear how acute and transient activity changes in the LHb can influence higher order cognitive processes such as learning, memory, and behavioral adaptation. Given the importance of these processes to psychiatric conditions, understanding how LHb activity impacts cognitive function allows novel insights into the neurobiological mechanisms of disorders like depression.MethodsTowards this goal, we used chemogenetic activation to temporarily excite glutamatergic neurons in the mouse LHb and assessed impacts on associative memory.Results and DiscussionSurprisingly, we found that transient activation of LHb impaired long-term memory, without affecting anxiety or depression-like behaviors. …”
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Comprehensive analysis of potential biomarkers for the diagnosis and prognosis of Cervical squamous cell carcinoma - based on GEO and TCGA databases by Yufen Chen, Qinghua Deng, Tengyue Fu, Yuxiang Huang, Houlin Li, Jingmu Xie, Feng Liao, Feimiao Zeng, Xinyi Fang, Ruiman Li, Zhuming Chen

“…The identification of reliable biomarkers is critical for developing a clinically applicable nomogram to predict survival outcomes and evaluate immune infiltration in CESC patients.MethodsThis study integrated RNA-seq data from GEO and TCGA databases to identify key genes associated with CESC through differential expression analysis and machine learning techniques. Prognostic models were constructed and validated, with additional analyses exploring immune cell infiltration and gene function via GSEA and clinical correlation. …”
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Relevansi konsep pemikiran pendidikan dan kebudayaan George S. Counts dan Ki Hajar Dewantara dengan kompetensi peserta didik abad 21 by Sekar Purbarini Kawuryan

“…For this reason, the optimal role of educators is needed in varying the learning process by using various methods so that education can carry out its functions to overcome social crises and cultural backwardness, so as to enhance humanity. …”
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Abnormal eye movement, brain regional homogeneity in schizophrenia and clinical high-risk individuals and their associated gene expression profiles by Zhaobin Chen, Yangpan Ou, Yudan Ding, Ying Wang, Huabing Li, Feng Liu, Ping Li, Dongsheng Lv, Yong Liu, Bing Lang, Jingping Zhao, Wenbin Guo

“…Abstract Clinical high-risk (CHR) is a prodromal period before psychosis characterized by attenuated, transient, or intermittent psychotic symptoms and declining functioning. They exhibit eye movement abnormalities and brain functional damage compared with schizophrenia, potentially increasing vulnerability to psychosis. …”
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Serum trihalomethanes and cognitive decline: investigating environmental risk factors for neurodegenerative diseases by Jianping Liu, Sufang Wang, Yuanying Song, Rong Luo, Lijian Han, Lijian Han

“…Cognitive performance was assessed using CERAD Word Learning and Delayed Recall, animal fluency test (AFT), and digit symbol substitution test (DSST). …”
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Clinical characteristics, outcomes, and predictive modeling of patients diagnosed with immune checkpoint inhibitor therapy-related pneumonitis by Antonious Hazim, Irene Riestra Guiance, Jacob Shreve, Gordon Ruan, Damian McGlothlin, Allison LeMahieu, Robert Haemmerle, Keith Mcconn, Richard C. Godby, Lisa Kottschade, Anna Schwecke, Casey Fazer-Posorske, Tobias Peikert, Eric Edell, Konstantinos Leventakos, Ashley Egan

“…Predictive modeling was performed using gradient boosting machine learning technology, XGBoost (Chen in 1(4):1, 2015), to conduct binary classification and model reverse engineering using Shapley statistics (Lundberg and Lee in Adv Neural Inf Process Syst 30, 2017). …”
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Predictive value and weight of factors associated with cognitive performance in Hispanics/Latinos enrolled in the Health and Aging Brain Study: Health Disparities by Raul Vintimilla, Darian Johnson, Douglas Taylor, James Hall, Fan Zhang, Sid O'Bryant, for the HABS‐HD Study Team

“…Random forest, an assembly learning method based on decision trees, was used to cross‐sectionally forecast the predictive value of 42 risk factors (4 demographic variables, 4 socioeconomic variables, 6 psychosocial variables, 17 health variables, and 11 plasma and magnetic resonance imaging biomarkers) together, and the weighting of each factor for different cognitive domains (global cognition, memory, language, executive function, attention, and processing speed). …”
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Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing by Lijuan Li, Mi Tao, Xueyun Gao, Quan Cao, Zejing Liao, Feng Chen, Ayinigaer Yusufu, Haihang Nie, Ziyue Zeng, Kai Huang, Xuan Deng, Ping Gao, Xiaoyan Wu

“…Essential genes were subsequently confirmed by machine learning and single-cell RNA sequencing (scRNA-seq). …”
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Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib by Chiara Bellocchi, Ennio Giulio Favalli, Gabriella Maioli, Elena Agape, Marzia Rossato, Matteo Paini, Adriana Severino, Barbara Vigone, Martina Biggioggero, Elena Trombetta, Roberto Caporali, Lorenzo Beretta

“…The capability of DEGs to predict a successful treatment was tested via machine learning modeling after extensive internal validation. …”
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Arecoline alleviates autism spectrum disorder-like behaviors and cognition disorders in a valproic acid mouse model by activating the AMPK/CREB/BDNF signaling pathway by Chunyan Wen, Zhizhong Xu, Fengling Cao, Qianfa Yuan, Weichao Su, Zhiyuan Huang

“…Arecoline has been reported to enhance memory and cognition, facilitate myelination and improve neurological function. This study investigated the therapeutic potential of arecoline in a mouse model of prenatal VPA-induced ASD. …”
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Regulatory T Cell Sub-Populations in Patients with Distinct Autoimmune/Inflammatory Diseases With or Without Inborn Errors of Immunity by Sevil Oskay Halacli, Dilan Inan, Saliha Esenboga, Hacer Neslihan Bildik, Aslihan Berra Bolat, Ilhan Tezcan, Deniz Cagdas

“…Changes in Treg number or function are implicated in a wide range of autoimmune and inflammatory (AI/I) diseases, with or without underlying inborn errors of immunity (IEI). …”
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Comprehensive characterization of T cell subtypes in lung adenocarcinoma: Prognostic, predictive, and therapeutic implications by Shiquan Liu, Hao Sun, Tianye Song, Ce Liang, Lele Deng, Haiyong Zhu, Fangchao Zhao, Shujun Li

“…The role of a hub gene in CD4+ T cell function and its involvement in tumor immunity was explored through in vitro experiments and molecular biology techniques. …”
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SAI: A Spartina alterniflora Index Based on Sentinel-2 Multispectral Imagery for Spartina alterniflora Mapping by Yangyan Zuo, Gang Yang, Weiwei Sun, Ke Huang, Susu Yang, Binjie Chen, Lihua Wang, Xiangchao Meng, Yumiao Wang, Jialin Li, Yuanzeng Zhan

“…It has importantly disrupted the structure and function of coastal wetland ecosystems, thereby posing a serious threat to the ecological security of these wetlands. …”
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Co-administration of coenzyme Q10 and curcumin mitigates cognitive deficits and exerts neuroprotective effects in aluminum chloride-induced Alzheimer's disease in aged mice by Nida Rasheed, Hafiza Khushbakht Hussain, Zohabia Rehman, Azka Sabir, Waseem Ashraf, Tanveer Ahmad, Faleh Alqahtani, Imran Imran

“…AchE is an enzyme involved in acetylcholine breakdown which negatively impacts acetylcholine levels and memory function. AlCl3 exposure elevated AchE levels in mice brains vs. treatment. …”
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Leveraging artificial intelligence for photo identification to aid CITES enforcement in combating illegal trade of the endangered humphead wrasse (Cheilinus undulatus) by C. Y. Hau, W. K. Ngan, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson

“…A ResNet-50-based convolutional neural network retrained using a triplet loss function for individual identification, achieved top-1, top-3, and top-5 accuracies of 79.73%, 95.95%, and 100%, respectively, further characterized by a mean rank of 1.797 (median = 1, mode = 1, S.D. = 0.86) for correct comparisons with appropriate images. …”
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Sevoflurane Preconditioning Rescues PKMζ Gene Expression from Broad Hypoxia-Induced mRNA Downregulation Correlating with Improved Neuronal Recovery by Joan Y. Hou, Kim D. Allen, A. Iván Hernandez, James E. Cottrell, Ira S. Kass

“…Hypoxia due to stroke is a major cause of neuronal damage, leading to loss of cognition and other brain functions. Sevoflurane preconditioning improves recovery after hypoxia. …”
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Hampered AMPK-ULK1 cascade in Alzheimer’s disease (AD) instigates mitochondria dysfunctions and AD-related alterations which are alleviated by metformin by Arnaud Mary, Samantha Barale, Fanny Eysert, Audrey Valverde, Sandra Lacas-Gervais, Charlotte Bauer, Sabiha Eddarkaoui, Luc Buée, Valérie Buée-Scherrer, Frédéric Checler, Mounia Chami

“…We then show that the antidiabetic metformin (Met) drug-mediated AMPK-ULK1 cascade activation alleviates structural and functional mitochondrial abnormalities in AD cells and mice brains. …”
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Middle School Students' Approaches to Optimization: Insights into Mathematical Modeling and Real-World Problem Solving by İlayda Mengi, İleyda Arslan, Rüveyda Karaman Dündar

“…This study investigates middle school students' perspectives on optimization problems in mathematics, focusing on their problem-solving processes and learning experiences. Optimization involves finding the best solution under specific constraints or maximizing/minimizing an objective function, a concept closely related to mathematical modeling. …”
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Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) by Gerald McGwin, Linda M Zangwill, Nicholas Evans, Shannon McWeeney, Cecilia S Lee, Bhavesh Patel, Jeffrey C Edberg, Cynthia Owsley, Aaron Lee, Cecilia Lee, Sally L Baxter, Michael Snyder, Samantha Hurst, Nicole Ehrhardt, Christopher Chute, Dawn S Matthies, Julia P Owen, Amir Bahmani, Sally Baxter, Edward Boyko, Aaron Cohen, Jorge Contreras, Garrison Cottrell, Virginia de Sa, Jeffrey Edberg, Irl Hirsch, Michelle Hribar, T.Y. Alvin Liu, Bonnie Maldenado, Sara Singer, Bradley Voytek, Joseph Yracheta, Linda Zangwill

“…Introduction Artificial Intelligence Ready and Equitable for Diabetes Insights (AI-READI) is a data collection project on type 2 diabetes mellitus (T2DM) to facilitate the widespread use of artificial intelligence and machine learning (AI/ML) approaches to study salutogenesis (transitioning from T2DM to health resilience). …”
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