Results 51 to 60 of about 2,747 (186)

Readiness and Maturity for a Smart Circular Economy to Enhance Sustainability Performance: A Multidimensional Framework for the Hospitality Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Research on readiness and maturity for the smart circular economy (SCE) remains fragmented, especially in the hospitality sector. This study develops a multidimensional framework that integrates the principles of the circular economy, Industry 4.0, and sustainability performance in the context of tourist accommodations.
Rafael Mora‐Contreras, Paz Morer‐Camo, Marta Ormazabal, Carmen Jaca, Maria Isabel Rodriguez‐Ferradas, María Jesús Álvarez   +5 more
wiley   +1 more source

Exploring the association between relative fat mass and psoriasis risk: insights from the NHANES data

Lipids in Health and Disease
Background Patients' quality of life is greatly impacted by psoriasis, a prevalent chronic inflammatory skin condition that is frequently linked to a number of systemic disorders.
Zeru Chen, Haiwei Chen, Xiaotong Chen, Yuling Chen, Jintong Wang, Yuhua Ou   +5 more
doaj   +1 more source

Restoring force model of a modular steel-concrete composite column

Case Studies in Construction Materials
The restoring force model (RFM) is the basis of elasto-plastic time-history analysis and forms a critical part of the seismic response analysis of structures. Based on the previous research results of a novel modular steel-concrete composite column, this
Yang Li, Mingchi Fan, Haitao Song, Chenglong Wu, Qi An, Xiujun Wang, Jie Ren   +6 more
doaj   +1 more source

Dual Operating Mode Imaging Photodetector Based on Electrical Modulation of p‐Si/MgO/ZnO

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This research innovatively introduces the MgO barrier layer and utilizes the device structure advantages of MSM to achieve breakthrough dual‐band response output of p‐Si/MgO/ZnO photodetectors under bias modulation. It has been successfully applied in dual‐mode imaging, laying the foundation for the development of third‐generation imaging technology ...
Hepeng Zhao, Qiyin Wang, Man Zhao, Dayong Jiang, Qingcheng Liang   +4 more
wiley   +1 more source

RFM-Net: A Convolutional Neural Network for Customer Segment Classification

Applied Sciences
Customer Segment Classification is a machine learning task in marketing analytics that involves assigning customers to predefined categories using features derived from historical transactional data.
Kadriye Filiz Balbal, Derya Birant
doaj   +1 more source

Characterization of a macrophagic-like cell line derived from rabbit fish (Siganus fuscescens): An illustration of anti-inflammatory responses of the herbal extract of Scutellaria baicalensis

Fish and Shellfish Immunology Reports, 2021
A new cell line was isolated and characterized from the head kidney of Siganus fuscescens (rabbit fish). The new macrophagic-like cell line was named as rabbit fish macrophage (RFM), and which could be sub-cultured for over 50 cycles since the ...
Yi-Teng Xia, Edwin Hok-Chi Cheng, Ying-Jie Xia, Qi-Yun Wu, Lynn Hoi-Lam Zhang, Sheng-Ying Lin, Tina Ting-Xia Dong, Qi-Wei Qin, Wen-Xiong Wang, Karl Wah-Keung Tsim   +9 more
doaj   +1 more source

Lignocellulosic Triboelectric Materials for Energy Harvesting and Emerging Applications: A Review on Lignin‐Molecular Engineering toward Improved Performance

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Contrasting sustainable biomass with depleting petroleum resources, this review charts the evolutionary timeline of lignin‐based TENGs. We systematically evaluate their fundamental mechanisms, enhancement strategies, and applications in green self‐powered electronics.
Yuxin Yang, Boyu Du, Yuwen Wang, Tian Tang, Yuxuan Xie, Jiajun Zhang, Yajun Zhang, Jingyu Xu, Xing Wang, Chuanyin Xiong   +9 more
wiley   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

The nonlinear connection between relative fat mass and non-alcoholic fatty liver disease in the Japanese population: an analysis based on data from a cross-sectional study

Diabetology & Metabolic Syndrome
Background Relative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease ...
Changchun Cao, Meiling Huang, Yong Han, Xiaohua Zhang, Haofei Hu, Yulong Wang   +5 more
doaj   +1 more source

LRFMV: An efficient customer segmentation model for superstores.

PLoS ONE, 2022
The Recency, Frequency, and Monetary model, also known as the RFM model, is a popular and widely used business model for determining beneficial client segments and analyzing profit.
Rezwana Mahfuza, Nafisa Islam, Md Toyeb, Md Asaduzzaman Faisal Emon, Shahnur Azad Chowdhury, Md Golam Rabiul Alam   +5 more
doaj   +1 more source