O-GlcNAc transferase mediates O-GlcNAcylation of NLRP3 regulates pyroptosis in spinal cord injury by Zhichao Zeng, Xuqiang Liao, Xinjian Zhao

“…Targeting OGT and NLRP3 may be novel therapy method in SCI.…”
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Correlation between neutrophil percentage-to-albumin ratio and all-cause and cerebrovascular mortality among hypertension patients by You Li, Cheng Yu

“…Abstract Neutrophil percentage-to-albumin ratio (NPAR) is a novel inflammatory biomarker and correlated with the progression and clinical outcomes of many diseases. …”
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miR-208a-3p discriminates osteoporosis, predicts fracture, and regulates osteoclast activation through targeting STC1 by Hongbing Qian, Fei Jia, Huiling Qin

“…Early screening OP could improve the prevention of fractures.This study focused on the significance of miR-208a-3p in diagnosing OP and development regulation, aiming to explore a novel biomarker and therapeutic target for OP. Methods The study enrolled a total of 154 post-menopausal women and grouping was performed based on the incidence of OP and fracture. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…Our approach integrates efficient matrix factorization and novel regularization techniques, forming a robust framework for dynamic rank pruning and model compression. …”
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Sirolimus-Eluting Balloon for the Treatment of Coronary Lesions in Complex ACS Patients: The SELFIE Registry by Gianluca Caiazzo, Mario De Michele, Luca Golino, Vincenzo Manganiello, Luciano Fattore

“…Sirolimus-coated balloons (SCBs) represent a novel therapeutic option for both in-stent restenosis (ISR) and de novo coronary lesions treatment, especially in small vessels. …”
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A Structural Comparison between the Origin-Destination Matrices Based on Local Windows with Socioeconomic, Land-Use, and Population Characteristics by Shahriar Afandizadeh Zargari, Amirmasoud Memarnejad, Hamid Mirzahossein

“…Accordingly, this paper developed a novel method named Socioeconomy, Land-use, and Population Structural Similarity Index (SLPSSI) in which local windows are selected according to socioeconomic, land-use, and population properties for SSIM comparison of OD matrices. …”
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Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization by Xingzhou Liu, Zhi Tian, Chang Chen

“…However, common TOC prediction methods rely on empirical formulas, and their applicability varies widely from region to region. In this study, a novel data-driven Bayesian optimization extreme gradient boosting (XGBoost) model was proposed to predict the TOC content using wireline log data. …”
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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

“…The results highlight the potential of gradient boosted models to discover novel ecological phenomena affecting pathogen demography and as a powerful public health tool to mitigate disease risks. …”
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miR-3960 from Mesenchymal Stem Cell-Derived Extracellular Vesicles Inactivates SDC1/Wnt/β-Catenin Axis to Relieve Chondrocyte Injury in Osteoarthritis by Targeting PHLDA2 by Peng Ye, Zhanhu Mi, Daihao Wei, Pengcheng Gao, Mei Ma, Haibo Yang

“…Lately, mesenchymal stem cell- (MSC-) derived extracellular vesicles (EVs) have been proposed as a novel strategy for the treatment of OA. We aimed to investigate the effects of EV-encapsulated miR-3960 derived from MSCs on chondrocyte injury in OA. …”
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Investigating Fracture Behavior in Titanium Aluminides: Surface Roughness as an Indicator of Fracture Mechanisms in Ti-48Al-2Cr-2Nb Alloys by Alessia Serena Perna, Lorenzo Savio, Michele Coppola, Fabio Scherillo

“…Fracture surfaces were analyzed to distinguish between static and dynamic fracture modes. A novel method, employing confocal microscopy acquisitions, is proposed to correlate surface roughness parameters with the causes of failure, offering new insights into the fracture mechanisms of titanium aluminides. …”
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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation by Zhengshun Fei, Haotian Zhou, Jinglong Wang, Gui Chen, Xinjian Xiang

“…To address these issues, we propose a novel model called Low-frequency Spectral Graph Convolution Networks with one-hop connections information for Personalized Tag Recommendation (LSGCNT). …”
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Continuous and Long-Term Measurement of Reticuloruminal pH in Grazing Dairy Cows by an Indwelling and Wireless Data Transmitting Unit by J. Gasteiner, T. Guggenberger, J. Häusler, A. Steinwidder

“…The aim of the present study was the continuous measurement of ruminal pH in grazing dairy cows to monitor the diets effects on ruminal pH value. A novel indwelling pH-measurement and data transmitting system was given to 6 multiparous cows orally. …”
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The weight-adjusted-waist index predicts all-cause and cardiovascular mortality in hypertension by Yu Zheng, Zixing Nie, Yifan Zhang, Tao Sun

“…BackgroundWeight-adjusted-waist (WWI) is a novel indicator of obesity that reflects the degree of central obesity in the human body.ObjectivesThe study aimed to explore the relationship between WWI and mortality in hypertensive individuals.MethodsCross-sectional data from the 2001–2018 National Health and Nutrition Examination Survey (NHANES) dataset were used in this study. …”
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Optimizing the Benefits of Mental Practice on Motor Acquisition and Consolidation with Moderate-Intensity Exercise by Rannaud Monany, Dylan, Lebon, Florent, Papaxanthis, Charalambos

“…Interestingly, moderate-intensity exercise after MP further increased performance during motor consolidation (speed, p=0.051; accuracy, p=0.028), at the level of the PP-Rest group. This novel finding represents a promising advance in the optimization of mental practice protocols in sport-related and rehabilitation settings. …”
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Recent updates of centromere proteins in hepatocellular carcinoma: a review by Zhongyuan Yang, Wenjiao Chen, Yunhui Liu, Yuxin Niu

“…In recent years, studies of HCC-targeting CENPs have gradually increased but are still relatively novel, requiring further systematic elaboration. …”
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GravelSens: A Smart Gravel Sensor for High-Resolution, Non-Destructive Monitoring of Clogging Dynamics by Kaan Koca, Eckhard Schleicher, André Bieberle, Stefan Haun, Silke Wieprecht, Markus Noack

“…In this paper, we present a novel method for non-destructive, real-time measurements of pore-scale sediment deposition and monitoring of clogging by using wire-mesh sensors (WMSs) embedded in spheres, forming a smart gravel bed (GravelSens). …”
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Irisin Exerts Neuroprotective Effects on Cultured Neurons by Regulating Astrocytes by Kexin Wang, Hongyan Li, Hongxing Wang, Jun-hui Wang, Feng Song, Yu Sun

“…Our finding may provide novel evidence for the future application of irisin in the treatment of Alzheimer’s disease and the memory dysfunction in diabetes mellitus.…”
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Embedding Trust in the Media Access Control Protocol for Wireless Networks by Chaminda Alocious, Hannan Xiao, Bruce Christianson, Joseph Spring

“…This research proposes a novel trust-incorporated MAC protocol (TMAC) which detects and mitigates complex node misbehavior for distributed network environments. …”
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Prophage-DB: a comprehensive database to explore diversity, distribution, and ecology of prophages by Etan Dieppa-Colón, Cody Martin, James C. Kosmopoulos, Karthik Anantharaman

“…Prophages enable viral genome replication without host cell lysis, and often contribute novel and beneficial traits to the host genome. Current phage research predominantly focuses on lytic phages, leaving a significant gap in knowledge regarding prophages, including their biology, diversity, and ecological roles. …”
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An ensemble prediction approach to weekly Dengue cases forecasting based on climatic and terrain conditions by Sougata Deb, Cleta Milagros Libre Acebedo, Gomathypriya Dhanapal, Chua Matthew Chin Heng

“…Firstly, a focused and extensive feature engineering aligned with the mosquito lifecycle. Secondly, a novel covariate pattern-matching based prediction approach using past time series trend of the predictor variables. …”
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