Lignin Unlocks Stealth Carbon Sinks in Cold Seeps via Microbial Enzymatic Gatekeeping by Jialing Li, Jingchun Feng, Pandeng Wang, Mengzhuo Zhu, Yongji Huang, Ying Wu, Junning Fan, Junlin Hu, Xiyang Dong, Yingli Zhou, Xuanyu Tao, Si Zhang

“…Although direct methanogenesis was undetected, methylotrophic potential was evidenced through methane cycle gene expression patterns by lignin decomposers. Phylogenetic surveys further demonstrated the global prevalence of lignin decomposers across 12 major cold seep systems. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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TS-InSAR assessment of groundwater overexploitation-land subsidence linkage: Hengshui case study by Yan An, Qiang Shen, C.K. Shum, Fan Gao, Xu Zhang, Liming Jiang, Hansheng Wang

“…New hydrological insights for the region: Results show subsidence dominates in Hengshui City, with rates up to 141 mm/year (2017–2024), mainly due to falling confined aquifer heads and delayed aquitard drainage. …”
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Effect of nonpharmaceutical interventions on the epidemic trends of scarlet fever in China: a population-based surveillance and modelling study by Xiaojuan Zhang, Yuanhai You, Jie Liu, Lu Sun, Haijian Zhou, Xingxing Zhang, Bike Zhang

“…Dynamic changes in distribution pattern were explored through spatial autocorrelation analysis. …”
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Genomic surveillance indicates high site-specific heterogeneity of West Nile virus in mosquitoes in rural regions of Germany across seasons by Corinna Patzina-Mehling, Anne Kopp, Leif Rauhöft, Tatiana Șuleșco, Terry C. Jones, Christian Drosten, Felix Gregor Sauer, Renke Lühken, Sandra Junglen

“…We found statistical support for virus dispersal between two sites that are located along a direct local road connection.Understanding WNV ecology at small spatial scales is crucial to identify patterns of virus maintenance, dispersal and areas with higher WNV abundance rates, and to implement tailored prevention strategies to improve public health.…”
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The study for asthma in older adults: a combined analysis of the effects of occupational asthmagens, high body-mass index and smoking by Jia-Qi Wang, Jia-Qi Wang, Yuan-Yu Liang, Yuan-Yu Liang, Zhong-Xue Zhao, Zhong-Xue Zhao, Wei Xie, Wan-Ning Sun, Wan-Ning Sun, Ji-Yu Zou, Ji-Yu Zou, Xiao-Dong Lv, Xiao-Dong Lv, Youfu He, Li-Jian Pang, Li-Jian Pang

“…Key metrics included age-standardized mortality rates (ASMR), age-standardized DALY rates (ASDR), and estimated annual percentage change (EAPC). …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Global burden trends and future predictions of ischemic heart disease attributable to air pollution in people aged 60 years and older, 1990–2021 by Yuanqin Zhao, Yuanqin Zhao, Lihui Liu, Lihui Liu, Wei Fan, Wei Fan, Man Qi, Man Qi, Bin Liao, Bin Liao

“…Therefore, it is of utmost significance to investigate the impact of AP on IHD burden, especially on vulnerable populations such as older individuals.MethodologyGlobal Burden of Disease (GBD) Study 2021 data was used to analyze and quantify contemporary global burden of IHD in individuals aged 60 and above due to AP and for trends for the time period between 1990 and 2021 using disease burden indicators such as deaths, DALYs, YLDs, YLLs and corresponding age-standardized rates (ASRs). Specifically, we are in patterns of disease burden of IHD in various subgroups stratified by age, sex, Sociodemographic Index (SDI), and GBD regions and countries. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Nutritional status, dietary inflammatory potential, and risk of osteosarcopenia: the Bushehr Elderly Health (BEH) program by Gita Shafiee, Mehrad Nasiri, Zhaleh Shadman, Mehdi Ebrahimi, Narges Zargar Balajam, Ramin Abdi Dezfouli, Iraj Nabipour, Ramin Heshmat

“…Abstract Background Osteosarcopenia is a growingly approved geriatric condition with a significant prevalence that contributes to higher rates of illness and death. Chronic inflammation and inadequate nutrition are key risk factors for numerous age-related diseases. …”
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Seven New Irbesartan Salts: Significantly Improved Dissolution, Excellent Hygrothermal Stability, and Characteristic Supramolecular Synthons by Junxiao Wang, Chuanhua Wu, Menglong Zhang, Lingli Hou, Wei Chen, Dingding Jing, Ying Bao

“…Their vitro dissolution, intrinsic dissolution rates (<i>IDR</i>s), thermal/hygroscopic stability (via thermal analysis, dynamic vapor sorption, and accelerated stability tests), and phase transition process (monitored by in situ Raman spectroscopy) were evaluated. …”
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Ultrasound-activated miR-195-5p/shikonin nanobubbles remodel immunosuppressive microenvironment via immunogenic cell death to potentiate PD-1/PD-L1 blockade in hepatocellular carci... by Yandi Tan, Qiao Xu, Yezi Chen, Yun Liu, Chaoqi Liu, Xinwu Cui, Yun Zhao

“…Despite the transformative clinical impact of programmed cell death ligand 1/programmed death 1 (PD-1/PD-L1) blockade in hepatocellular carcinoma (HCC), therapeutic efficacy remains limited by the tumor immunosuppressive microenvironment (TIME), with objective response rates persistently below 20 %. To address this critical clinical challenge, we engineered ultrasound (US)-responsive lipid nanobubbles (NBs) co-encapsulating microRNA (miR)-195-5p and shikonin (SK) (designated miR-195-5p/SK-NBs), a dual-functional platform designed to synergize PD-L1 suppression with immunogenic cell death (ICD). …”
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Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review by Mostafa Ogab, Sofiane Zaidi, Abdelhabib Bourouis, Carlos T. Calafate

“…Existing Intrusion Detection Systems (IDS) for IoD face several limitations, including high false positive rates, resource constraints of drones, limited adaptability to evolving attack patterns, and a lack of standardized datasets for benchmarking, despite ongoing research efforts. …”
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Global collaboration and innovation in malignant cerebral edema research: a bibliometric perspective by Xinhua Peng, Xinhua Peng, Rongrong Zhu, Ke Zhang, Jianghong Ji, Chuanguo Lv, Feng Feng, Feng Feng

“…AimMalignant cerebral edema (MCE) is a life-threatening complication of acute brain injuries, with mortality rates exceeding 80% in the absence of treatment. …”
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Profiles and kinetics of PgRNA and clinical characteristics in pregnant, postpartum, and non-pregnant women with chronic HBV infection by Genju Wang, Yandan Wu, Ziyue Zhang, Qiuchen Wu, Juan Tang, Ying Ji, Yan Wang, Guanlun Zhou, Minmin Yu

“…Moreover, the detection rates of pgRNA, DNA, and HBeAg varied significantly across the three stages and different treatment regimens in CHB women. pgRNA was highly correlated with HBeAg, and a moderate correlation was found between pgRNA and HBV DNA levels. …”
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fNIRS evidence of abnormal frontotemporal cortex activation and functional connectivity in depressed patients after stroke: neuromodulatory mechanisms from mild to moderate depress... by Shanshan Zhou, Xiaodie Liu, Mengyuan Chen, Wenyi Chen, Yawen Pan, Yinghao Zhi

“…In contrast, the mild-PSD group displayed no notable connectivity differences between the two groups.ConclusionThis study presents distinct patterns of frontotemporal cortex activation and functional connectivity alterations associated with varying severity levels of PSD. …”
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The Impact of Rural Alimentation on the Motivation and Retention of Indigenous Community Health Workers in India: A Qualitative Study by Ajit Kerketta, Raghavendra A N

“…The interviews were audio recorded, transcribed, and analyzed using thematic analysis to identify common themes and patterns in their experiences related to nutrition and retention. …”
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