MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

“…Alzheimer’s disease (AD) is a degenerative neurological condition characterized by cognitive decline, memory loss, and reduced everyday function, which eventually causes dementia. Symptoms develop years after the disease begins, making early detection difficult. …”
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Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets by Kazutoshi Hirose, Satoshi Kodera, Masako Nishikawa, Masataka Sato, Yuqi Zhou, Hongqian Zhang, Shun Minatsuki, Junichi Ishida, Norifumi Takeda, Huidong Wang, Chuiming Kong, Yunjie Deng, Junyu Chen, Chenqi Zhang, Jun Akita, Yuma Ibayashi, Ruoxi Yang, Hiroshi Kanno, Nao Nitta, Takeaki Sugimura, Norihiko Takeda, Makoto Kurano, Yutaka Yatomi, Keisuke Goda

“…Unfortunately, traditional platelet function measurement methods cannot directly evaluate its efficacy and safety. …”
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Heat stress responses mediated by N6-methyladenine DNA methylation in maize by Weijun Guo, Liang Le, Daolei Zhang, Ziwei Wei, Yifan Wang, Yue Wu, Hada Wuriyanghan, Xiaofeng Gu, Li Pu

“…Summary: N6-methyladenine (6mA) plays an important role in eukaryotic development and stress responses, yet its function under heat stress (HS) in crops remains unclear. …”
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Exploration of Biomarkers of Psoriasis through Combined Multiomics Analysis by Lu Xing, Tao Wu, Li Yu, Nian Zhou, Zhao Zhang, Yunjing Pu, Jinnan Wu, Hong Shu

“…In this study, a total of 767 DEGs and 896 DMR-genes were obtained. Functional enrichment showed that they were significantly associated with skin development, skin barrier function, immune/inflammatory response, and cell cycle. …”
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Optical Versus Electronic Implementation of Probabilistic Graphical Inference and Experimental Device Demonstration Using Nonlinear Photonics by Masoud Babaeian, Patrick Keiffer, Mark A. Neifeld, Ratchaneekorn Thamvichai, Robert A. Norwood, Pierre-A. Blanche, John Wissinger, N. Peyghambarian

“…The probabilistic inference model has been widely used in various areas, such as error-control coding, machine learning, speech recognition, artificial intelligence, and statistics. …”
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MOTIVATIONAL DIRECTION IN THE TRAINING OF FUTURE MUSIC TEACHERS by Rolinska Olena

“…Each of them differs in its individual scale, content, characteristics and function. A hypothesis arose about the perspective of motivational direction in the training of future specialists, both in the field of music and any other sphere of life. …”
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Microsurgical head and neck reconstruction: retrospective analysis of 30 free flaps by André Coelho Nepomuceno, José Francisco de Sales Chagas, Maria Beatriz Nogueira Pascoal, José Luis Braga de Aquino, Thalita dos Reis Ruba, Fernanda Garcia Callegari, Douglas Alexandre Rizzanti Pereira, José Carlos Marques de Faria

“…CONCLUSIONS: The microsurgical reconstructions were effective for the repair of complex defects as well as to partially restore the shape and function of the affected tissues. Complications were observed in less than 50% of the cases, although these presented with significant morbidity. …”
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Erqember Mitigates Neurotoxic Effects of Aluminum Chloride in Mice: Phytochemical Insights With Neurobehavioral and In Silico Approaches by Habiba Khan, Sana Javaid, Waseem Ashraf, Farhan Siddique, Mehvish Bibi, Tanveer Ahmad, Muhammad Shoaib Ali Gill, Asad Abrar, Faleh Alqahtani, Imran Imran

“…Overall, the neurological benefits of Erqember might result from enhanced cholinergic neurotransmission and antioxidative activity of its phytocompounds, which together function as multimodal strategies against AlCl3-induced neurotoxicity.…”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Employees’ facial identities using the Resnet34 model integrated Additive Angular Margin Loss function to identify employees’ facial identities. …”
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Risk prediction model of cognitive performance in older people with cardiovascular diseases: a study of the National Health and Nutrition Examination Survey database by Hui Wang, Sensen Wu, Dikang Pan, Yachan Ning, Cong Wang, Jianming Guo, Yongquan Gu

“…Background and aimChanges in cognitive function are commonly associated with aging in patients with cardiovascular diseases. …”
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Sevoflurane aggravates hypoxic-ischemic encephalopathy in preterm neonates via VGluT1 upregulation and myelinogenesis impairment by Minyang Qin, Dongyan Shi, Xiaoqian Song, Ruiqing Zhang, Zhaowei Feng, Longzhi Li

“…In this study, we investigated the effects of sevoflurane exposure on cognitive function and myelination using a preterm white matter injury (WMI) mouse model. …”
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British Thoracic Society survey of rehabilitation to support recovery of the post-COVID-19 population by John R Hurst, Sally J Singh, Gisli Jenkins, Louise Preston, Charlotte Bolton, Amy C Barradell, Neil J Greening

“…Recommendations for the intervention described a holistic programme focusing on symptom management, return of function and return to employment. The free-text comments added depth to the survey and the need ‘not to reinvent the wheel’ but rather adapt well-established rehabilitation services to individually tailor needs-based care with continued learning for service development.Conclusion The responses indicate a huge interest and the urgent need to establish a programme to support and mitigate the long-term impact of COVID-19 by optimising and individualising existing rehabilitation programmes.…”
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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…Genome controls directly or indirectly all human functions: body structure, physiology. Human mental and consciousness activity, brain functions obtained by learning mask the dependence of these activities on the genome. …”
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Astrocytes phenomics as new druggable targets in healthy aging and Alzheimer’s disease progression by Daniele Lana, Filippo Ugolini, Ludovica Iovino, Selene Attorre, Maria Grazia Giovannini

“…The morphological and functional heterogeneity of astrocytes in different brain regions may be related to their different housekeeping functions. …”
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Remote Interaction of Participants in Family Rehabilitation Aimed at Stuttering Correction by Olga A. Beglova, Elena S. Avdeeva

“…The remote format allows us to remove restrictions related to the location of course participants, as well as to optimize the function of monitoring the implementation of recommendations by logotherapists.…”
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Robotic-assisted colorectal surgery in colorectal cancer management: a narrative review of clinical efficacy and multidisciplinary integration by Engeng Chen, Li Chen, Wei Zhang

“…The increased control and precision afforded by robotic surgery have been shown to optimize outcomes in complex procedures such as total mesorectal excision, with evidence indicating reduced intraoperative blood loss, shortened hospital stays, and improved functional recovery. Nonetheless, challenges persist, including absence of haptic feedback, prohibitive costs, and steep learning curve associated with robotic systems. …”
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Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers by Evgenia Gkintoni, Apostolos Vantarakis, Philippos Gourzis

“…Inclusion criteria focused on EEG-based investigations in clinical populations with neuropsychiatric diagnoses, emphasizing studies that assessed associations with cognitive function, symptom severity, treatment response, or functional outcomes. …”
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Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development by Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen

“…For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes. …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Due to kernel-based learning necessity in NTES, embedding the radial basis function (RBF), dynamic time warping (DTW), and polynomial (POL) kernels into dual HCs is on the agenda. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…Each block integrates a convolutional layer, a ReLU activation function, and a batch normalization layer. The outputs from specific blocks “ConvBlk_3 and ConvBlk_4,” “ConvBlk_6 and ConvBlk_7,” and “ConvBlk_9 and ConvBlk_10” are fused using a depth concatenation approach. …”
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