Results 71 to 80 of about 116,837,064 (272)

Testing of a Structures Covariance Matrix for Three-Level Repeated Measures Data. [PDF]

This paper considers the problem of estimating, and testing for, a Kronecker product covariance structure of three-level (multiple time points (p), multiple sites (u), and multiple response variables (q)) multivariate data.
Ricardo Leiva, Anuradha Roy
core  

Mitochondrial Dysfunction Unravels the Potential Molecular Link Between Night Shift Work‐Related Circadian Disruption and Elevated Blood Pressure in Human and Mouse Models

Advanced Science, EarlyView.
This diagram illustrates that night shift work disrupts circadian clock genes (like CLOCK, BMAL1) in both humans and mice. This disruption leads to mitochondrial dysfunction (imbalanced fusion/fission proteins) and increased oxidative stress, which is identified as the primary mechanism ultimately causing elevated blood pressure.
Zhaoqiang Jiang, Yifan Dou, Yingnan Lei, Shuang Liu, Jialin Zhou, Jiaping Li, Huadong Xu, Lingfang Feng, Yongxin Li, Chuyan Zhang, Tao Li, Jianfei Wang, Xing Zhang, Xinran Wang, Luyao Liu, Jingjing Zhang, Jianlin Lou   +16 more
wiley   +1 more source

Testing for Multivariate Equivalence with Random Quadratic Forms [PDF]

Multivariate equivalence testing becomes necessary whenever the similarity rather than a difference between several treatment groups with multiple endpoints has to be shown.
Weißbach, Rafael
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Multichannel Monte Carlo Singular Spectrum Analysis With Colored Noise Assessment: Application to Greenland GNSS Vertical Displacement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Permanent GNSS stations continuously monitor Earth’s crust movements in horizontal and vertical directions. The recorded data include deterministic variations, including linear trends, periodic signals, and offsets, alongside stochastic variations
Fatemeh Esmaeili, Hamid Mehrabi, Seyed Mohsen Khazraei, Alireza Amiri-Simkooei   +3 more
doaj   +1 more source

Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Research involving causal relationships among latent variables that generally use structural equation modeling (SEM) analysis and spatial data simultaneously has an unavoidable impact on using spatial SEM analysis.
Anik Anekawati , Purhadi, Mohammad Rofik
doaj   +1 more source

UDP‐Glucose‐6‐Dehydrogenase Mediated O‐GlcNAcylation of Tight Junction Protein 1 Suppresses Metastasis in Renal Cell Carcinoma

Advanced Science, EarlyView.
Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen, Yuhang Bao, Tao Liu, Jianhui Qiu, Yuanyuan Ma, Zedan Zhang, Chuandong Wang, Ruiyi Deng, Zheng Song, Tianyi He, Haode Liu, Jingcheng Zhou, Yizhou Wang, Kan Gong   +13 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

The guidelines for content creators creating a competitive advantage over online media industry [PDF]

Decision Science Letters
This study aimed to develop strategic guidelines for content creators to achieve a competitive advantage in the online media industry by constructing a structural equation model (SEM).
Jakkrin Kaopattanaskul, Sunee Wattanakomol, Thanin Silpcharu   +2 more
doaj   +1 more source