Multi-Omics Identification of <i>Fos</i> as a Central Regulator in Skeletal Muscle Adaptation to Long-Term Aerobic Exercise by Chaoyang Li, Xinyuan Zhu, Yi Yan

“…Skeletal muscle health and function are closely linked to long-term aerobic exercise, particularly in enhancing muscle metabolism and regulating gene expression. …”
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Huntingtin plays an essential role in the adult hippocampus by Jessica C. Barron, Laura J. Dawson, Samantha J. Carew, Mackenzie C. Grace, Kelsie A. Senior, Katelyn C. Ryan, Firoozeh Nafar, Craig S. Moore, Jacqueline Blundell, Matthew P. Parsons

“…Unexpectedly, synapse density returned to control levels 6–8 months following wtHTT loss, despite the ongoing presence of macroscopic morphological abnormalities, altered anxiety-related behaviors and clear impairments in spatial learning and memory. Overall, these findings uncover a previously unrecognized role of wtHTT as a critical regulator of hippocampal function in the mature brain, and highlight the hippocampus as a potentially vulnerable region to the adverse effects of non-selective HTT reduction.…”
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A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

“…Although several machine learning–based detection models have been proposed, there is still a need for improved accuracy. …”
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Effect of an Online Mobility Self-Management Program on Walking Speed in Older Adults With Preclinical Mobility Limitation: Protocol for a Randomized Controlled Trial by Julie Richardson, Ayse Kuspinar, Susanne Sinclair, Marla Beauchamp, Sinead Dufour, Ada Tang, Joy MacDermid, Evelyne Durocher, Lehana Thabane, Feng Xie, Andrew Costa

“…For that reason, PCML is a critical stage in the natural history of functional change when there is the opportunity for primary prevention interventions. …”
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Perbandingan Kinerja Algoritma KNN dan SVM Menggunakan SMOTE untuk Klasifikasi Penyakit Diabetes by Asri Mulyani, Sarah Khoerunisa, Dede Kurniadi

“…Penelitian ini menerapkan metode machine learning life cycle untuk mengukur kinerja kedua algoritma. …”
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Severity Classification of Parkinson’s Disease via Synthesis of Energy Skeleton Images from Videos Produced in Uncontrolled Environments by Nejib Ben Hadj-Alouane, Arav Dhoot, Monia Turki-Hadj Alouane, Vinod Pangracious

“…Given the nature of the dataset used, the proposed framework stands to function as a cost-effective and accessible tool for early PD detection in various healthcare settings. …”
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Urban Land Use Classification Model Fusing Multimodal Deep Features by Yougui Ren, Zhiwei Xie, Shuaizhi Zhai

“…Finally, the transformer is used to fuse both topological and raster structure deep features, and land use classification is completed using the softmax function. Experiments were conducted using high-resolution Google images and Open Street Map (OSM) data, with study areas on the third ring road of Shenyang and the fourth ring road of Chengdu. …”
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Leveraging AI to explore structural contexts of post-translational modifications in drug binding by Kirill E. Medvedev, R. Dustin Schaeffer, Nick V. Grishin

“…Abstract Post-translational modifications (PTMs) play a crucial role in allowing cells to expand the functionality of their proteins and adaptively regulate their signaling pathways. …”
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A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models by Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr

“…We introduce a second GAN model with a novel loss function that significantly improves tumor detection accuracy. …”
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Call to action: recognize and prevent the effects of extreme heat on early childhood development and health by Vanitha Sampath, Devon Payne-Sturges, Natalie Slopen, Nathaniel Harnett, Nathaniel Harnett, Alison G. Lee, Kari Nadeau, Nat Kendall Taylor, Lindsey Burghardt, Lindsey Burghardt

“…Young children experience a range of immediate health effects from heat, including disruptions in their sleep and learning, and exacerbations of asthma. Long-term impacts include lower cognitive function, reduced ability to concentrate, and adverse outcomes in mental and behavioral health. …”
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Keystone Perforator Island Advancement Flap as Another Option for Closure after Radical Excision of Axillary Hidradenitis Suppurativa by Timea H. Virag, Geoffrey G. Hallock, Ileana R. Matei, Alexandru V. Georgescu

“…Surgical treatment of axillary hidradenitis suppurativa (HS) requires wide excision followed by definitive wound closure to not limit shoulder function. An international prospective study was undertaken to compare how a keystone perforator island advancement flap can be a reliable solution. …”
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Impact of mHealth and eHealth on oral health literacy: A systematic review by Ravinder S Saini, Shubham Chopra, Yahya Ahmed Assiri, Fahad Hussain Alhamoudi, Sunil Kumar Vaddamanu, Mudita Chaturvedi, Mohamed Saheer Kuruniyan, Morteza Banakar, Artak Heboyan

“…Methods Original research on the function of mHealth and eHealth in enhancing oral health literacy was identified through searches of PubMed, Cumulative Index to Nursing and Allied Health Literature, ScienceDirect, IEEE Xplore, Dimensions, and the Cochrane Library. …”
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Channel attention pyramid network for remote physiological measurement by Jing Zhang, Haixin Sun, Yuhao Hu, Guanghao Zhu, Fang Liu, Boyun Yan, Jiahao Pu, Xiaohui Du, Juanxiu Liu, Lin Liu, Ruqian Hao, Xingguo Wang, Yong Liu

“…The uniqueness of CAP-rPPG lies in its hybrid loss function, adeptly balancing the short-term characteristics, long-term characteristics of the signal and the correlation between the predicted HR and the ground-truth HR. …”
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Assessing inflammatory protein biomarkers in COPD subjects with and without alpha-1 antitrypsin deficiency by Matthew Moll, Brian D. Hobbs, Katherine A. Pratte, Chengyue Zhang, Auyon J. Ghosh, Russell P. Bowler, David A. Lomas, Edwin K. Silverman, Dawn L. DeMeo

“…PPI networks implicated regulation of immune system function, cytokine and interleukin signaling, and matrix metalloproteinases. …”
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Designing and characterizing first Iranian study evaluating serum levels of lithium in patients for population pharmacokinetics (FIRELOLIPOP): baseline and first report by Mohammad Mahdi Khakshoor, Naser Pariz, Vahid Reza Askari, Mohammad Reza Fayyazi Bordbar, Sara Honari, Matin Shirazinia, Vafa Baradaran Rahimi, Mohammad Bagher Naghibi Sistani

“…Clinical, demographic, and laboratory data were collected, including lithium serum levels, renal function parameters, and co-administered medications. …”
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B5G Applications and Emerging Services in Smart IoT Environments by Hani Attar, Mohammed Alghanim, Jafar Ababneh, Khosro Rezaee, Ayat Alrosan, Mohanad A. Deif

“…Incorporating technologies such as software-defined networking, cloud computing, machine learning, 3D networking, and network function virtualization into B5G networks is imperative due to raised concerns regarding decentralization, transparency, interoperability, privacy, and security. …”
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Reserpine Causes Neuroendocrine Toxicity, Inducing Impairments in Cognition via Disturbing Hypothalamic–Pituitary–Thyroid Axis in Zebrafish by Fengzhi Sun, Lijie Xia, Baokun Wang, Yanao Liu, Xiaotong Cui, Huijun Kang, Rostyslav Stoika, Kechun Liu, Meng Jin

“…Meanwhile, it affected neurodevelopment, as evidenced by the reduced expression of <i>gfap</i>, <i>gap43</i>, <i>mbp</i>, <i>syn2a</i>, and <i>tuba1b</i> genes, which compromised neuronal structure and function, while impaired neurotransmitter release and uptake could occur due to the suppression of <i>crhb</i> and <i>mao</i> genes. …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…Phenomena available for analysis a self-learning process (observed data) are events relevant to this process, which are modeled by points on the time axis, the number and position of which is assumed to be random. …”
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Drawing as an experience. Knowledge, simulation and participation by Giuseppe Amoruso

“…(Hutchins, 1970)</p><p>Donald Schön’s work on organizational learning and reflective practice that tends to receive the most attention in the literature, his exploration of the nature of learning systems and the significance of learning in changing societies has helped to define debates around the so called ‘<em>learning society’</em>. …”
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Artificial intelligence in Anatomy: Potential uses and challenges by Lubna Faisal

“…Gamified technological tools based on artificial intelligence have functionalities which can help students of undergraduate to understand and learn anatomy and also enable them to identify and recognize human anatomical structures anytime, anywhere because it is designed for mobile apps. …”
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