D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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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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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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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta by Hieu Hong Hua, Minh Anh Nguyen, Thuy Thanh Thi Ngo

“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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Links between self-monitoring data collected through smartphones and smartwatches and the individual disease trajectories of adult patients with depressive disorders: Study protoco... by Hanna Reich, Simon Schreynemackers, Rebeka Amin, Sascha Ludwig, Jil Zippelius, Johannes Leimhofer, Tobias Dunker, Elisabeth Schriewer, Angela Carell, Yvonne Weber, Ulrich Hegerl

“…Participants will (a) attend three in-person appointments (at baseline, 6 months, and 12 months), (b) self-report daily and weekly depressive symptoms, (c) continuously collect sensor data via the “iTrackDepression” app on their Android smartphone (app usage, phone calls, phonetic parameters from voice recordings), and (d) wear a Samsung Galaxy Watch 5® to record data from the accelerometer, step sensor, light sensor, and heart rate sensor. We will apply multilevel correlations, vector-autoregressive models, and Machine Learning approaches to identify individual patterns in the data, particularly in the relationships between biosensor data and self-reported depressive symptoms.Enhancing the understanding of individual disease trajectories through data from smartphones and smartwatches could allow for classical, digital, and self-management interventions for depression to be delivered in a manner and at a time specifically tailored to the individual's needs.Clinical trial registration number: DRKS00032618 (https://drks.de/search/en/trial/DRKS00032618)…”
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Prevalence and sequence of chronic conditions in older people with dementia: a multi-province, population-based cohort study by Susan E. Bronskill, Azmina Artani, Laura C. Maclagan, Xuesong Wang, Hannah Chung, J. Michael Paterson, Andrea Gruneir, Karen A. Phillips, Rasaq Ojasanya, Xibiao Ye, Kayla McLean, Fernanda Ewerling, Claire Godard-Sebillotte, Victoria Massamba, Louis Rochette, Isabelle Vedel, Larry Shaver, Catherine Pelletier, Colleen J. Maxwell

“…While there is evidence demonstrating a strong association between coping and PMH, less is known about how coping patterns differ across age groups. Given that age can impact coping ability, addressing this knowledge gap is warranted. …”
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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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Aberrant Histone Methylation in Patients with Graves’ Disease by Ni Yan, Kaida Mu, Xiao-fei An, Ling Li, Qiu Qin, Rong-hua Song, Qiu-ming Yao, Xiao-qing Shao, Jin-an Zhang

“…The rate (degree) of H3K4 and H3K9 methylation and the expressions of histone-modifying genes were investigated. …”
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The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma by Fuqing Chen, Yifan Cai, Xiangmei Chen, Changzhou Chen, Qinliang Fang, Jianming Liu, Yibin Zhang, Jianyin Zhou

“…A total of 184 HSCRGs were identified. The expression pattern and functional characteristics of MLH1 gene in HCC were verified. …”
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An epigenome-wide association study in the case-control study to explore early development identifies differential DNA methylation near ZFP57 as associated with autistic traits by Ellen M. Howerton, Valerie Morrill, Rose Schrott, Jason Daniels, Ashley Y. Song, Kelly Benke, Heather Volk, Homayoon Farzadegan, Aimee Anido Alexander, Amanda L. Tapia, Gabriel S. Dichter, Lisa A. Croen, Lisa Wiggins, Genevieve Wojcik, M. Daniele Fallin, Christine Ladd-Acosta

“…We sought to identify DNA methylation patterns in child blood associated with Social Responsiveness Scale score, Second Edition (SRS). …”
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A bibliometric analysis of research trends in mesenchymal stem cell therapy for neonatal bronchopulmonary dysplasia: 2004–2024 by Lu Bai, Yue Xin

“…Despite the growing body of preclinical evidence, visualization of publication patterns reveals significant gaps between laboratory findings and clinical applications, with only 8.2% of publications reporting clinical outcomes. …”
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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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Efficacy and Safety of Tofacitinib in Patients with Polymyalgia Rheumatica (EAST PMR): An open-label randomized controlled trial. by Xinlei Ma, Fan Yang, Jinzhi Wu, Bei Xu, Mengdi Jiang, Yiduo Sun, Chuanying Sun, Ye Yu, Danyi Xu, Lanlan Xiao, Chunyun Ren, Chunyan Chen, Zi Ye, Junyu Liang, Jin Lin, Weiqian Chen

“…Secondary endpoints: PMR-AS score, c-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) at weeks 12 and 24. Thirty-nine patients with newly diagnosed PMR received tofacitinib, and 37 patients received glucocorticoid. …”
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