Adaptive multi-scale phase-aware fusion network for EEG seizure recognition by Yanting Liang, Jingyuan Liu, Xinzhou Zhang

“…The framework integrates three novel components: (1) a Dynamic Frequency Selection (DFS) module employing Gumbel-SoftMax for adaptive spectral filtering to enhance seizure-related frequency bands; (2) a Multi-Scale Feature Extraction (MCFE) module using hierarchical downsampling and temperature-controlled multi-head attention to capture both macro-rhythmic and micro-transient EEG patterns; and (3) a Multi-Scale Phase-Aware Fusion (MCPA) module that aligns temporal features across scales through phase-sensitive weighting.ResultsThe AMS-PAFN was evaluated on the CHB-MIT dataset and achieved state-of-the-art performance, with 98.97% accuracy, 99.53% sensitivity, and 95.21% specificity (Subset 1). …”
Get full text

Near-source wastewater surveillance of SARS-CoV-2, norovirus, influenza virus and RSV across five different sites in the UK. by Jay C Bullen, Mina Mohaghegh, Fatima Tahir, Charlotte Hammer, Jacob Sims, Frederico Myers, Lucas Eisinger, Ali Reza Kasmati, Claire F Trant

“…Secondly, for endemic pathogens, near-source wastewater reveals long-term patterns and trends, the effectiveness of local policies, and community vulnerabilities.…”
Get full text

Functional and phylogenetic β diversities and their link with clustering/overdispersion and uniqueness/redundancy by Sandrine Pavoine, Carlo Ricotta

“…Through analytical partitioning and simulations, we show that Qβ and Eβ are connected differently to typical patterns of community structure. The search for the ecological and evolutionary processes that drive community assembly and the assessment of community resilience and stability have indeed revealed typical community structures: the local clustering of species with similar traits or shared evolutionary histories and the local (α) or regional (γ) presence of functionally or phylogenetically redundant versus unique species. …”
Get full text

MicroRNA-1303 in cancer pathogenesis and therapy: clinical implications for biomarker development and targeted treatment strategies by Lingzi Zheng, Ling Hu, Bita Badehnoosh

“…Its expression patterns have been correlated with tumor stage, metastasis, and patient survival, suggesting promising utility in clinical decision-making. …”
Get full text

Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…Google LYNA has aided the detection of breast cancer metastases and helped pathologists focus their attention on areas of highest risk, where it is most crucial7. …”
Get full text

Genetic variation and evolutionary characteristics of Echovirus 11: new variant within genotype D5 associated with neonatal death found in China by Liu Ying, Sun Qiang, Xiao Jinbo, Ren Binzhi, Zhao Hua, Shi Yong, Zhou Shuaifeng, Hong Mei, Zhou Kangping, Cun Jianping, Zeng Yunting, Chen Jianhua, Ge Qiong, Ju Yu, Lu Huanhuan, Li Jichen, Cong Ruyi, Yang Tingting, Wang Rui, Zong Yanjun, Sun Tiantian, Yu Liheng, Wang Xiaoyi, Zhu Shuangli, Yan Dongmei, Ji Tianjiao, Yang Qian, Zhu Zhen, Zhang Yong

Get full text

Learners’ Perception of Scientific Text Layouts Design Using Eye-Tracking by Elizabeth Wianto, Hapnes Toba, Maya Malinda

“…Lifelong learning, particularly in adult education, has gained considerable attention due to rapid lifestyle changes, including pandemic-induced lockdowns. …”
Get full text

Precision neuropsychology in the area of AI by Astri J. Lundervold

“…Key opportunities include enhanced pattern recognition in traditional assessments (e.g., digital clock drawing), continuous monitoring of symptom fluctuations (e.g., Attention Deficit Disorder), and personalized assessment and treatment procedures based on individual needs (e.g., learning disorders). …”
Get full text

An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
Get full text

Diagnostic Value of Comprehensive Echocardiographic Assessment Including Speckle-Tracking in Patients with Sarcoidosis Versus Healthy Controls: A Systematic Review and Meta-Analysi... by Hritvik Jain, Maryam Shahzad, Muneeba Ahsan, Rahul Patel, Jagjot Singh, Ramez M. Odat, Aman Goyal, Raveena Kelkar, Nishad Barve, Hina Farrukh, Raheel Ahmed

“…Speckle-tracking echocardiography (STE) is gaining attention due to its ability to detect subclinical alterations in myocardial contraction patterns and quantification of abnormal parameters. …”
Get full text

Genetic Factors for the Natural Elimination of Hepatitis C Virus by N. V. Vlasenko, T. A. Loscutova, K. O. Mironov, A. S. Esman, E. A. Dunaeva, T. A. Semenenko, D. B. Dubodelov, M. I. Korabelnikova, Z. B. Ponezheva, V. V. Makashova, K. G. Omarova, A. V. Sacuk, G. G. Solopova, S. N. Kuzin, V. G. Akimkin

“…The identification of determinants of the human genome, such as single nucleotide polymorphisms (SNPs), in association with various disease patterns, including infectious diseases, is one of the most actively developing areas of scientific research in the world..  …”
Get full text

The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review by Sonya Hilberts, Mark Govers, Elena Petelos, Silvia Evers

“…The selected studies revealed consistent patterns in how misinformation spreads during natural disasters, highlighting the role of users, some influencers, and bots in amplified false narratives. …”
Get full text

Has the matching between urban population aging and older adult care facilities achieved coupling coordination?—An empirical analysis based on spatiotemporal evolution and multifac... by Q. Liu, Q. Liu, S. L. Zhao, Y. F. Li

“…The aging population has become a global socio-economic challenge, particularly in economically underdeveloped regions, where it profoundly impacts the allocation of medical resources, social security systems, and land use patterns. However, existing research has paid insufficient attention to the coordination between population aging and the spatial distribution of older adult care facilities, making it difficult to provide scientific evidence for optimizing regional older adult care resources. …”
Get full text

Combined impacts of climate change and human activities on blue and green water resources in a high-intensity development watershed by X. Tan, B. Liu, X. Tan, X. Tan, Z. Huang, J. Fu

“…These findings can guide the optimization of the allocation of blue and green water resources between upper and lower reach areas in DRB and further improve the understanding of blue and green water evolution patterns in humid regions.</p>…”
Get full text

Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Two abrupt changes in the drought pattern were observed during the study period, namely, in 1965 and 1983. …”
Get full text

Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…It further investigates the relationship between turbulent coherent structures and the intensity of particle movement, clarifying the mechanism through which turbulent coherent structures influence sediment transport.MethodsThe optimization algorithm developed in this study aims to maximize the detection of moving particles, providing more accurate data to support understanding sediment transport patterns at the particle scale and their association with turbulent coherent structures. …”
Get full text

A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network by Hend S. Saad, John F. W. Zaki, Mohamed M. Abdelsalam

“…A new framework based on analyzing the motor activity data measured by smart watches is presented to diagnose mental illnesses such as schizophrenia and depression as well as analyze complex behavioral patterns. The framework encodes the behavioral time series data into image patterns using modified Markov Transition Field. …”
Get full text

The dynamic linkage between covid-19 and nutrition: a review from a probiotics perspective using machine learning and bibliometric analysis by Christos Stefanis, Christina Tsigalou, Ioanna Bezirtzoglou, Gregoria Mitropoulou, Chrysoula Voidarou, Elisavet Stavropoulou

“…This study attempts to detect the relationship between dietary patterns and the disease of COVID-19 and emphasizes research on probiotics by mapping the knowledge produced during the pandemic until 2024.MethodsIn addition to bibliometrics, a machine-learning framework, ASReview, was used to structure the literature search. …”
Get full text

Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains by Yongbin Yang, Mengdie Wang, Jiyuan Wang, Pan Li, Mengjie Zhou

“…The framework integrates both historical sales data and real-time sensor measurements, employing attention mechanisms to capture seasonal patterns, promotional effects, and environmental conditions detected through temperature and humidity sensors. …”
Get full text

Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…The authors are highly interested in search for genetic markers (heredity, suicides in relatives), impairment of neuromediator exchange (neurotransmitters serotonin, dopamine, adrenaline, and noradrenaline), neuromorphologic alterations in brain sensorimotor cortex (motor function, attention, perception, memory, and emotional-motivational response), hormonal disturbances (neuroendocrine and metabolic) and psychoneuroimmunological patterns of association with CD. …”
Get full text