Tracking Pelagia noctiluca scyphomedusae by combining modeling and stable isotope approaches by Isabella D’Ambra, Isabella D’Ambra, Simona Saviano, Maria Assunta Ambrosio, Vincenzo Botte, Daniele Iudicone, Maria Grazia Mazzocchi, Louise Merquiol, Louise Merquiol, Louise Merquiol, Daniela Cianelli

“…Simulations indicated that surface circulation patterns promoted the permanence of medusae within the coastal area, particularly in summer. …”
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Adipose-derived mesenchymal stem cell-supported ciprofloxacin therapy effectively protects the kidney parenchyma and functional integrity against acute pyelonephritis damage in rod... by Chih-Chao Yang, Ya Yue, Pei-Lin Shao, Ben-Chung Cheng, Tsuen-Wei Hsu, Yi-Ling Chen, Sheung-Fat Ko, Hon-Kan Yip, Mel S. Lee

“…The upstream inflammatory signaling (toll-like receptor-4, myeloid differentiation primary response 88, tumor necrosis factor receptor associated factor 6 and nuclear factor-kappa B) and downstream inflammatory signaling (tumor necrosis factor-alpha, interleukin-1 beta and interleukin-6) biomarkers exhibited identical patterns of kidney injury scores among the groups (all P < 0.0001). …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Molecular mechanism and biological pathway of high-expressed RAD51 in regulating cell adhesion and potentially affecting oral squamous cell carcinoma by Yu-Xing Tang, Yu-Yan Pang, Yan Cui, Guo-Jiao Wu, Lin-Qing Huang, Chang-Zhan Zhou, Bin Li, Qi Li, Bang-Teng Chi, Rong-Quan He, Di-Yuan Qin, Jian-Di Li, Gang Chen, Dong-Ming Li, Yi-Wu Dang

“…However, its multi-platform expression patterns and functional role in cell adhesion within the context of OSCC have not yet been comprehensively validated. …”
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Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures: A convergence study utilizing biosignals and 14-day wearable data by Nayeon Kwon, Dongwon Lee, Soree Hwang, Soomin Yang, Inchan Youn, Hyuk-June Moon, Sungmin Han

“…Participants performed a laboratory-based mental arithmetic task designed to induce acute stress while their electrocardiogram (ECG) was recorded to extract heart rate variability (HRV) features. Additionally, they wore a smartwatch for 14 consecutive days to monitor stress levels multiple times daily, as well as continuous sleep and activity patterns. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Wastewater-based epidemiology of influenza A virus in Shenzhen: baseline values and implications for multi-pathogen surveillance by Xiuyuan Shi, Shisong Fang, Chen Du, Guixian Luo, Yanpeng Cheng, Zhen Zhang, Qiuying Lv, Xin Wang, Zhigao Chen, Bincai Wei, Ziqi Wu, Bingchan Guo, Panpan Yang, Miaomiao Luo, Weihua Wu, Liping Zhou, Ting Huang, Xuan Zou, Xiaolu Shi, Songzhe Fu, Zhanwei Du, Xinxin Han, Yinghui Li, Qinghua Hu

“…Influenza A virus (IAV) has become increasingly unpredictable in its seasonal patterns following the COVID-19 pandemic. A key challenge remains identifying optimal moments for public health interventions to inform evidence-based decisions. …”
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Identification of galectin-9 and its antibacterial function in Yellow River carp (Cyprinus carpio haematopterus) by Li Wang, Li Wang, Li Wang, Yuanyuan Hu, Xudong Li, Ziyan Zhang, Nan Wang, Limin Chao, Chengfei Li, Pei Gao, Jinyou Ma, Jinyou Ma, Lei Wang, Xiaojing Xia, Xiaojing Xia

“…IntroductionGalectin-9 is a β-galactoside-binding lectin that functions as a critical pattern recognition receptor (PRR) in the host immune system, initiating immune defense responses by recognizing and binding to pathogen-associated molecular patterns (PAMPs) on the surface of microorganisms. …”
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Metal–organic nanostructures based on sono/chemo-nanodynamic synergy of TixOy/Ru reaction units: for ultrasound-induced dynamic cancer therapy by Tao Jiang, Zixiang Tang, Shumiao Tian, Haitian Tang, Zhekun Jia, Fangjian Li, Chenyue Qiu, Lin Deng, Lang Ke, Pan He, Gang Liu, Chengchao Chu, Yongfu Xiong

“…Remarkably, ultrasound irradiation induced substantial oxidative stress and immunogenic cell death, promoting the release of damage-associated molecular patterns (DAMPs), which elevated the maturation rate of tumor-infiltrating dendritic cells (DCs) and significantly increased the proportion of CD8⁺ T cells. …”
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Optimization of bovine oocyte cryopreservation: membrane fusion competence and cell death of linoleic acid-in vitro matured oocytes subjected to vitrification by Glenda L. Ríos, María Florencia Suqueli García, María Florencia Suqueli García, Rodrigo J. Manrique, Jorgelina Buschiazzo

“…Zona pellucida-free oocytes co-incubated with sperm demonstrated that 43 μM LA better preserved the original sperm adhesion and fusion pattern post-vitrification, although fertilization rate was not improved. …”
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Dynamic brain-heart-gut coupling during sleep: a continuous physiological signal analysis by Guojing Wang, Guojing Wang, Guojing Wang, Hongyun Liu, Hongyun Liu, Shijing Wu, Shijing Wu, Xiaohua Yu, Xiaohua Yu, Weidong Wang, Weidong Wang

“…In terms of heart-gut coupling (HGC), the coupling strength between the very low frequency (VLF) band of heart rate variability (HRV) and all BS-derived power sequences was significantly lower than other HRV frequency bands. …”
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Neural signatures underlying the effect of social structure on empathy and altruistic behaviors by Xia Tian, Zixin Zheng, Renhui Li, Yue-Jia Luo, Chunliang Feng

“…Afterwards, participants rated the pain experienced by these innocents and shared money with other innocents. …”
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Dynamics of cerebral blood flow following sertraline treatment in adolescent depression by Wenyu Ren, Wenyu Ren, Xiao Liu, Zhiwei Zhang, Xiaoqin Zhang, Wei Wu, Xingyu Wang, Zhihui Yu, Chuan Liu, Renqiang Yu

“…Furthermore, Pearson correlation analysis was employed to examine associations between changes in regional CBF and clinical improvement, as measured by changes in the 17-item Hamilton Depression Rating Scale (HAMD-17) scores.ResultsAt baseline, adolescents with depression exhibited increased CBF in the posterior cuneus and decreased CBF in the middle temporal gyrus (MTG), right middle orbitofrontal gyrus, and the left middle frontal gyrus (MFG), compared to healthy controls. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…Quality findings from the early-stage, interim-stage, and conclusion-stage QC rounds of clinical trials were rated by using 3 severity grades (minor, major, or critical) and classified into 5 categories (with 4 taxonomy levels under each category). …”
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Loss of Reduction in Pediatric Distal Radius Fractures: Risk Factors From a Prospective Multicenter Registry by Apurva S. Shah, MD, MBA, Zoe E. Belardo, BA, Mark L. Miller, MD, Michael C. Willey, MD, Susan T. Mahan, MD, MPH, Divya Talwar, PhD, MPH, Donald S. Bae, MD

“…On multivariate analysis, metaphyseal bicortical fracture pattern (OR = 2.3), prereduction translation of ≥51% (OR = 2.3), and nonanatomic closed reductions (OR = 1.9) independently increased the odds of LOR. …”
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Criminal legal penalties, substance use, and overdose: a concept mapping study examining Colorado’s criminal legal penalties by Katherine LeMasters, Samantha K. Nall, Cole Jurecka, Betsy Craft, Paul J. Christine, Ryan Goodman, Jessie Henderson, Robert Haywood-James, Angela Williams, Grace Wittner, Joshua A. Barocas

“…Participants — recruited from community-based organizations — identified, rated, sorted, and categorized factors affecting criminal legal involvement, substance use, and/or overdose in their community. …”
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Analysis of influencing factors for primary membranous nephropathy complicated with atherosclerotic cardiovascular disease and establishment of a nomogram prediction model by Mirixiatijiang· Maimaiti, Zhu Guo-qiang, Su Ming-jie, Halinuer· Shadekejiang, Zhang Xue-qin, Lu Chen

“…They also had significantly higher systolic blood pressure ［130（120， 142） mmHg（1 mmHg=0.133 kPa） <italic>vs</italic> 122.0（113.5， 135.5） mmHg］， higher diastolic blood pressure ［80 （75， 90） mmHg <italic>vs</italic> 80（70， 85.5） mmHg］， higher prevalence of hypertension［142（64.8%） <italic>vs</italic> 67 （32.7%）］， and higher proportion of manual workers［60（27.4%） <italic>vs</italic> 28（13.7%）］ Additionally， lymphocyte count （LYM）， platelet count （PLT）， blood sodium concentration （Na）， blood urea nitrogen （BUN）， blood creatinine （Cr）， estimated glomerular filtration rate （eGFR）， 24-hour quantitative urine protein， glutamic transaminase， urinary occult blood， number of urinary hyaline and pathological tubular patterns， C-reactive protein （CRP）， complement C4， plasma fibrinogen， D-dimer， and centrocyte-lymphocyte ratio were all significantly different between the two groups （<italic>P</italic>&lt;0.05）. …”
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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques by Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed

“…RF-based feature importance analysis showed tree DBH, height, regeneration rate, soil erosion, and tree density as key ecological drivers of forest health. …”
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