Effects of transcranial alternating current stimulation combined with sertraline on cognitive function in patients with depressive disorder by Li Dan, Xia Zhong, Zhu Wenli, Liang Dandan, Miao Wenwen, Song Chuanfu

“…Regarding the MCCB scores for attention/vigilance， verbal learning， and overall composite， the time effect， group effect， and time×group interaction effect were all statistically significant between the two groups （F=70.331， 27.882， 51.679， 5.560， 10.948， 7.860， 8.490， 3.874， 5.025， P<0.05 or 0.01）. …”
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TemDeep: a self-supervised framework for temporal downscaling of atmospheric fields at arbitrary time resolutions by L. Wang, Q. Li, Q. Li, Q. Lv, Q. Lv, X. Peng, X. Peng, W. You

“…However, the acquisition of high-resolution data is limited due to excessive computational demands and substantial storage needs in numerical models. Current deep learning methods for statistical downscaling still require massive ground truth with high temporal resolution for model training. …”
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Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment by Tianyi Li, Seo‐Hyun Park, Changwoo Lee, Shawn Kim, Younghoon Kwon, Hojun Kim, Jae‐Hyun Chung

“…To address these challenges, this study presents a capacitive sensor‐based eye tracker (ET) leveraging cylindrical carbon nanotube‐paper composite (CCPC) sensors for chronic fatigue (CF) assessment. …”
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Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

“…This study integrates active and passive remote sensing data with Machine Learning (ML) methods to predict the physicochemical properties of degraded sandy soils in the Brazilian Cerrado. …”
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Fine-tuning diffusion model to generate new kite designs for the revitalization and innovation of intangible cultural heritage by Yaqin Zhou, Yu Liu, Yuxin Shao, Junming Chen

“…This study proposes using an AI-based diffusion model to learn kite design and generate new kite patterns, thereby promoting the revitalization and innovation of kite-making craftsmanship. …”
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Progress on additive manufacturing technology of solid propellants by Christian Ingabire, Dao-lun Liang, Li-xiang Li

“…Additionally, developments involving SLA method where APNIMMO-based binders have shown stress at break approximately 10 times greater than traditional HTPB, as well as a 480 % increase in burn rate at 100 MPa compared to non-energetic acrylate resins are highlighted.Remaining challenges and development trends are discussed, including issues in FDM, such as the incompatibility of certain traditional binders with their thermal conditions, brittleness in some AP-based composites, and difficulties in balancing the addition of metallic materials. …”
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HIV risk screening and HIV testing among orphans and vulnerable children in community settings in Tanzania: Acceptability and fidelity to lay-cadre administration of the screening... by Michelle M Gill, Ola Jahanpour, Roland van de Ven, Asheri Barankena, Peris Urasa, Gretchen Antelman

“…<h4>Methods</h4>This cross-sectional study was conducted March-April 2019 in two regions of Tanzania. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…A Random Forest machine learning method conducts an analysis of environmental elements geographical characteristics and infrastructure factors to calculate site suitability potential. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…A Random Forest machine learning method conducts an analysis of environmental elements geographical characteristics and infrastructure factors to calculate site suitability potential. …”
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Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

“…In the multistep purification approach, the system is able to optimize buffer compositions for DNA extraction from complex samples, demonstrating effectiveness in both conventional chaotropic salt‐based methods and innovative chaotropic salt‐free buffers. …”
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Optical Flow Magnification and Cosine Similarity Feature Fusion Network for Micro-Expression Recognition by Heyou Chang, Jiazheng Yang, Kai Huang, Wei Xu, Jian Zhang, Hao Zheng

“…Recent advances in deep learning have significantly advanced micro-expression recognition, yet most existing methods process the entire facial region holistically, struggling to capture subtle variations in facial action units, which limits recognition performance. …”
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Thermite combustion: Current trends in modeling and future perspectives by Alain Esteve, Carole Rossi

“…Aluminum-based reactive composites, such as thermites, represent a unique class of energetic materials characterized by their high energy densities, tunability in combustion properties and safety. …”
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A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI by Charlems Alvarez-Jimenez, Jacob T. Antunes, Thomas DeSilvio, Zhouping Wei, Marwa Ismail, Joseph E. Willis, Emily Steinhagen, Andrei Purysko, David Liska, Smitha Krishnamurthi, Marka Crittenden, Michael Gough, Kristina Young, Anant Madabhushi, Eduardo Romero, Pallavi Tiwari, Satish E. Viswanath

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Fifteen years of urban deer management: The fontenelle forest experience by Scott E. Hygnstrom, Gary W. Garabrandt, Kurt C. Vercauteren

“…Total costs of controlled (US$120/deer) and depredation hunts (US$70/deer, 2010 prices) were low compared to other areas and methods. Common themes of the 15‐year management program included cooperation, communication, leadership, research‐based management, adaptive management, persistence, and resources. © 2011 The Wildlife Society.…”
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Impact of malaria in pregnancy on infant neurodevelopment and malaria susceptibility during the first year of life in Kinshasa, the Democratic Republic of the Congo by Japhet Kabalu Tshiongo, Lise Kuseke, Thierry Kalonji, Patrick Mitashi, Aimée Mupuala, Kassoum Kayentao, Trésor Zola Matuvanga, Vivi Maketa Tevuzula, Yann Kafala, Henk D.F.H. Schallig, Hypolite Muhindo Mavoko, Petra F. Mens

“…Maternal malaria was assessed by microscopy at birth, and infant malaria was based on a history of fever. Infant neurodevelopment was evaluated at 4-6 weeks, 6 months, and 12 months using the Mullen Scales of Early Learning (MSEL), which include scores for gross motor (GM), and early learning composite (ELC). …”
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Associations Between Psychological Stress and the Risk of First Onset of Major Depression Disorder: Results from a Longitudinal Study in 6,985 Chinese First-Year Students by Wang F, Rong L, Luo L, Mu F, Qian L, Qian Y, Zhang X, Lang Y, Wang W, Liu Y, Zhang Y, Wang J

“…MDD was evaluated using the Chinese version of the Composite International Diagnostic Interview (CIDI-3.0). …”
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Mapping Invasive <italic>Spartina alterniflora</italic> Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data by Yiwei Ma, Li Zhuo, Jingjing Cao

“…Therefore, we proposed a pixel-based phenological and red-edge feature composite method (PpRef-CM) for <italic>S. alterniflora</italic> extraction considering both phenological information and red-edge bands derived from Sentinel-2 time series based on the existing pixel-based phenological feature composite method (Ppf-CM). …”
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Macrophage Infiltration Correlated with IFI16, EGR1 and MX1 Expression in Renal Tubular Epithelial Cells Within Lupus Nephritis-Associated Tubulointerstitial Injury via Bioinformat... by Tian M, Tang M, Chen C, Lin Y, Chen H, Xu Y

“…Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed significant enrichment in pertussis, complement and coagulation cascades, systemic lupus erythematosus, and other pathways. Based on the machine learning results, we identified IFI16, EGR1 and MX1 were key diagnostic genes for tubulointerstitial injury associated with LN. …”
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Epilepsy is associated with the accelerated aging of brain activity in sleep by Peter N. Hadar, Mike Westmeijer, Mike Westmeijer, Haoqi Sun, Erik-Jan Meulenbrugge, Jin Jing, Luis Paixao, Ryan A. Tesh, Madalena Da Silva Cardoso, Pierrick Arnal, Rhoda Au, Chol Shin, Chol Shin, Soriul Kim, Robert J. Thomas, Sydney S. Cash, M. Brandon Westover

“…The BAI is a machine learning-based biomarker that measures how much the brain activity of a person during overnight sleep deviates from chronological age-based norms.MethodsThis case–control study drew information of age-matched controls without epilepsy from home sleep monitoring volunteers and from non-epilepsy patients with Sleep Lab testing. …”
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Rapid <i>Salmonella</i> Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion by MeiLi Papa, Siddhartha Bhattacharya, Bosoon Park, Jiyoon Yi

“…Hyperspectral data cubes were collected to generate single-cell spectra and RGB composite images representing the full microscopy field. …”
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