Results 121 to 130 of about 39,124 (245)

Morphological variation in atlas and axis of Neotropical spiny rats (Rodentia, Echimyidae)

The Anatomical Record, EarlyView.
Abstract The unique morphologies of the first two cervical vertebrae, the atlas and axis, represent a significant innovation in mammalian evolution. These structures support the weight of the head and enable intricate movements of the head and neck.
Thomas Furtado da Silva Netto, João Felipe Leal Kaiuca, Adriana Itatí Olivares, William Corrêa Tavares   +3 more
wiley   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Green Finance, Digitalization, and Banks' Sustainable Business Model Innovations Toward Net‐Zero Transitions

Business Strategy and the Environment, EarlyView.
ABSTRACT Financial capital is widely recognized as having the potential to provide investments needed for net‐zero transitions. While recent empirical studies reveal that financial digitalization and fintech have changed Chinese banks' loan portfolios and business models, they stem from credit restrictions on heavily polluting enterprises and from ...
Akihisa Mori
wiley   +1 more source

Grassroots climate resilience and sustainable agriculture in the Ranbir Singh Pura region of Jammu & Kashmir

Discover Global Society
The study investigates grassroots climate resilience and sustainable agriculture in the Ranbir Singh Pura (R.S. Pura) region of Jammu and Kashmir, India a region known for premium Basmati rice cultivation yet characterised by severe climate vulnerability.
Ganta Durga Rao, Binny Sharma
doaj   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

High‐Energy‐Density Redox Flow Batteries: Mechanisms, Design Strategies, and Recent Progress

Chemistry – A European Journal, EarlyView.
ABSTRACT The inherent intermittency of energy sources such as solar and wind power hinders the transition to renewable energy, necessitating advanced energy storage solutions. Enhancing energy density is crucial for lowering system costs and enabling large‐scale deployment.
Xiaolian Zhao, Jiaxin Yu, Nannan Jia, Chuzhang Hong, Yue Luo, Wantong Jing, Zhiming Feng, Xinhua Liu, Rui Tan   +8 more
wiley   +1 more source

Inter‐Verified Binary Classification Models: Unveiling Key Polymer Features Against Staphylococcus aureus

Carbon Innovation, EarlyView.
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh, Cyrille Boyer, Priyank Kumar   +2 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source