A comprehensive analysis identifies and validates NPC1 as a potential biomarker for prognosis in HCC by Xingjun Lu, Tianyao Gou, Xuxing He, Xia Chen, Daqing Yang, Xiaozhen Peng, Xiaozhen Peng

“…Utilizing LinkedOmics for co-expression network analysis and KEGG for functional enrichment, we identified a set of genes co-expressed with NPC1 and its associated biological pathways. …”
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Acute ischaemia and gap junction modulation modify propagation patterns across Purkinje-myocardial junctions by Richard J. Jabbour, Elham Behradfar, Elham Behradfar, Michael Debney, Anders Nygren, Anders Nygren, Adam Hartley, Igor Efimov, Mélèze Hocini, Mélèze Hocini, Nicholas S. Peters, Fu Siong Ng, Edward J. Vigmond, Edward J. Vigmond, Edward J. Vigmond

“…Computational modelling was performed to determine the effects of gap junction coupling on PMJ function, and on the complexity of endocardial activation.ResultsDuring ischaemia, the percentage of right ventricle area activated within the first 5 ms decreased from baseline 62% ± 7% to 52% ± 8% during early ischaemia (p = 0.04), consistent with slowing of conduction. …”
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Transcriptome and Proteome Analysis Identify Decorin as a Principal Antifibrotic Component Trapping TGF-β1 Within Adipose-Derived Stem Cell Secretome by Lin Kang, Zhujun Li, Fangyuan Li, Ziming Li, Liquan Wang, Tianhao Li, Jieyu Xiang, Songlu Tseng, Nanze Yu, Jiuzuo Huang, Xiao Long

“…Therefore, it was concluded that DCN was a crucial protein in ADSC secretome that exerted antifibrotic effects by inhibiting TGF-β1. This study conducted an in-depth insight into the paracrine function of ADSCs through transcriptome and proteome analysis, identifying DCN as an essential paracrine factor mediating the antifibrotic effect of ADSCs, which could provide valuable theoretical support for the use of ADSC secretions as well as DCN in the treatment of fibrotic diseases.…”
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Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

“…This work compares four RL algorithms: Q-Learning, Double Q-Learning, Deep Q-Network (DQN), and Actor-Critic (AC) methods. The environment is modeled as a discrete-time Markov Decision Process (MDP), and a context-sensitive reward function guides fairness-preserving decisions for access, preemption, coexistence, and hand-off. …”
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Caregiver factors influencing family-based treatment for child and adolescent eating disorders: a systematic review and conceptual model by Alex McCord, Kylie Rice, Adam Rock

“…Results Influential caregiver factors were identified and grouped into eight domains: caregiver capacity, confidence, readiness, internalizing factors, externalizing factors, food-related factors, support network and family function. Factors within each domain and their influence on treatment outcome were reported. …”
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Marine object detection in forward-looking sonar images via semantic-spatial feature enhancement by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Nan Xu

“…Furthermore, we adopt the Wise-IoUv3 loss function to mitigate the issue of class imbalance within marine sonar datasets and stabilize the model training process. …”
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COMBINING FUZZY ANP AND FUZZY ARAS METHODS FOR DETERMINING THE BEST LAND INVESTMENT LOCATION by Chasib Idris, Mila Kurniawaty, Sa`adatul Fitri

“…The weighting of criteria is conducted using the Analytic Network Process (ANP) method, chosen for its ability to account for interrelationships between criteria and alternatives. …”
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Utilization of Garcinia mangostana L. Peel as an Immunomodulator to Improve the Quality of Human Resources: A Systematic Review by Yunita Satya Pratiwi, Dina Mustika Rini, Ifwarisan Defri, Tawaffani Qubra, Nadien Mutia Intan Maulidi

“…Methods: A Systematic Literature Review (SLR) was conducted, focusing on articles published between 2013 and 2023. …”
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SVR-Optimized ANN Model for Predicting Earthquake Risk in Electrical Substations Based on Disaster Datasets in the Aceh Region, Indonesia by Elvy Sahnur Nasution, Yuwaldi Away, Syahrial, Ira Devi Sara, Andri Novandri

“…This paper proposes a predictive model based on an Artificial Neural Network (ANN) optimized with Support Vector Regression (SVR) to predict seismic parameters as part of earthquake risk mitigation for substations. …”
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The Intriguing Connection Between the Gut and Lung Microbiomes by Magdalena Druszczynska, Beata Sadowska, Jakub Kulesza, Nikodem Gąsienica-Gliwa, Ewelina Kulesza, Marek Fol

“…Mediated by immune interactions, metabolic byproducts, and microbial communities in both organs, this axis demonstrates how gut-derived signals, such as metabolites and immune modulators, can reach the lung tissue via systemic circulation, influencing respiratory function and disease susceptibility. To explore the implications of this connection, we conducted a systematic review of studies published between 2001 and 2024 (with as much as nearly 60% covering the period 2020–2024), using keywords such as “gut–lung axis”, “microbiome”, “respiratory disease”, and “immune signaling”. …”
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Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations by Yifan Zhu, Fei Guo, Xiaohong Zhang, Wentao Yang

“…The CYGNSS observations are first aggregated into the Equal-Area-Scalable-Earth (EASE) 2.0 36 km grid by a combined weight function of distance, time, and signal-to-noise ratio variance. …”
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Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization by Yanyan Zheng, Senxiang Wu, Jie Chen, Qiong Yao, Siyu Zheng

“…Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain–computer interface (BCI) can assist patients in accelerating motor function recovery. To realize the implementation of plug-and-play functionality for MI-BCI applications, cross-subject models are employed to alleviate time-consuming calibration and avoid additional model training for target subjects by utilizing EEG data from source subjects. …”
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RNA-binding protein gene NOP58 exhibits crucial prognostic and therapeutic value in Ewing sarcoma by Yannan Geng, Lu Yang, Rui Shao, Tiantong Xu, Lilong Zhang

“…Furthermore, both in vitro and in vivo experiments were conducted to investigate the function of NOP58 in EwS. …”
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Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology by Hailong MA, Liang WANG, Tao HU, Yiming JIANG, Yanze QU

“…Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The evolution of CMD over the past 8 years were reviewed systematically from the vertical, horizontal, current, developing and future perspectives.From the vertical perspective, the development process of CMD from concept to theory and practice was summarized.From the horizontal view, it elaborated the core structure DHR (dynamical heterogeneous redundancy) of CMD, the principles based on CMD’s three major theorems, safety gains and performance costs.A comparison was conducted between CMD and five other active defense technologies, namely intrusion tolerance, moving target defense, zero trust architecture, trusted computing and computer immunology.From the current perspective, it reviewed the implementation elements, performance, system architecture, heterogeneous strategies, scheduling strategies, voting strategies and other common technology patterns and characteristics of 11 types of main existing mimic products including mimicry router, mimicry processor, mimicry DNS server and mimicry cloud platform.From the developing perspective, it explored the “mimic+” AICDS (Mimic + AI/IoT/Cloud/Data/SDN) symbiotic ecology with respect to 5 types of new technologies, namely artificial intelligence, Internet of things, cloud computing, big data and software-defined network, and proposed the corresponding technology junctions and cross research value.From the future perspective, it looked into the future mimicry baseline 2.0 product ecology, “mimic +5G/6G”, “mimic + edge computing”,“mimic + cloud” and “mimic + blockchain” application scenarios.Besides, 4 types of challenges faced by CMD in the future were analyzed and summarized, including escape space of multi-mode decision attack, mutual restriction of heterogeneous and synchronous, difficult balance between security and function, and limited transformation space of existing endogenous security components.…”
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On Decision-Making Algorithms in Discrete Optimization Problems by Yulia Terentyeva

“…The probability of making the correct decision by the predictor function is assessed. The qualitative results of the conducted research are presented, and recommendations for the use of predictors are given. …”
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Overexpression of miR-451a Aggravates Renal Ischemia–Reperfusion Injury by Targeting KLF1-ACSL4 to Promote Ferroptosis by Haitao Yu, Xin Gou

“…In this study, we utilized bioinformatics methods to construct a network diagram of differentially expressed miRNAs, transcription factors (TFs), and ferroptosis-related genes. …”
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The Method of Miniaturization of a Microstrip Branch-Line Couplers by D. A. Letavin

“…They are also used as a functional  node fo r building power dividers, mixers, modulators, power  summators, and beamforming elements. …”
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Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke by Fengli Ye, Huili Li, Hongying Li, Xiue Mu

“…These GMRDEGs were enriched in immune processes and pathways such as TNF and IL-17 signaling. PPI network analysis highlighted IL1B, IL6, and CCL2 as central nodes. …”
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Identification and validation of m6A RNA methylation and ferroptosis-related biomarkers in sepsis: transcriptome combined with single-cell RNA sequencing by Jinshuai Lu, Jianhao Wang, Kun Han, Yuxia Tao, Jiyi Dong, Xiaoyu Pan, Xiaolan Wen

“…Further in-depth analyses of the biomarkers were performed, including functional enrichment, immune infiltration, drug prediction, and molecular docking. …”
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Factors contributing to increased Neonatal Mortality in Grand Kru County, Liberia, January 2017-December 2021 by Jimmy Lawubah, Chukwuma David Umeokonkwo, Himiede Wede Sesay, Babalola Joseph Obafemi, Faith Tina Whesseh, Leroy Maximore, Francis Bobway, Boye Nuyelleh, Lily Marie Sanvee-Blebo, Maame Amo-Addae

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