Results 61 to 70 of about 111,114 (231)

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +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

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

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

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

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

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

Statistical Inference Based on L-Moments [PDF]

Statistika: Statistics and Economy Journal, 2017
To overcome drawbacks of central moments and comoment matrices usually used to characterize univariate and multivariate distributions, respectively, their generalization, termed L-moments, has been proposed.
Tereza Šimková
doaj  

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