Results 121 to 130 of about 9,667 (258)

Corporate Sustainability Transition: Methodological Analysis for a Rating Model

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces a new rating model for the evaluation of corporate sustainability, addressing the inconsistencies and divergences that characterize current ESG assessment systems. The model is hierarchically structured, comprising 99 indicators organized into 19 modules, and is designed to be adaptable by sector and firm size.
Riccardo Censi, Paola Campana, Fulvio Schettino, Chiara De Pucchio   +3 more
wiley   +1 more source

A Program‐Led Motivational App (MI‐Coach: ED) for Eating Disorder Waitlists: Findings From a Feasibility and Acceptability Pilot Trial

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Individuals with eating disorders (EDs) often face significant barriers to accessing care, including prolonged waitlists and systemic delays. Digital interventions, such as mobile apps, offer a scalable way to enhance pre‐treatment engagement during this high‐risk period.
Amané Halicki‐Asakawa, Emily Fuller, Maya Libben   +2 more
wiley   +1 more source

Enhanced Hydrogen Evolution Reaction Performance of Ni‐Doped MoS2 with 1T Structure for Alkaline Water Electrolyzer: Introduction of 1T Phase and Morphological Optimization Through Co‐Sputtering Technique

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The hydrogen evolution reaction activity of Ni‐doped MoS2 is enhanced by optimizing sputtering parameters in co‐sputtering. Sputtering power controls morphology and Ni doping which promotes 1T yield and activates basal planes. Sputtering time changes 1T yield regardless of Ni ratio.
Wan Sik Kim, Junseok Sim, Sejin Im, Asiya M. Tamboli, Younghan Jung, Junseok Oh, Jeong‐Hyeon Lee, Jonghak Park, Geun Ho Gu, Chang‐Hee Kim   +9 more
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Experimental and Numerical Study on Enhancing the Performance of a Stepped Solar Still Using Porous Sponge Materials

Energy Science &Engineering, EarlyView.
Three designs were built and tested: a single‐slope still, a six‐stepped still, and a six‐stepped still with 5 mm sponge sheets. The novelty lies in fixing porous sponge sheets to the vertical faces of the steps. Yield of freshwater and instantaneous efficiency were determined in various combinations, that is, base, stepped, and stepped‐cum‐sponge ...
A. Venkata Satyanarayana, Osman Mohammed Damtew, Girma Zenebe, Esskindir Demeke Geto, Anteneh Mohammed Tahir   +4 more
wiley   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Advanced extracellular vesicle immunotherapy

FlexMat, EarlyView.
A diagrammatic depiction of the therapeutic applicability of extracellular vesicles (EVs) in immunotherapy. This review explores the dual roles of tumor‐derived and immune cell‐derived EVs in cancer immunotherapy, discusses recent progress in EV engineering that improve their clinical utility, and evaluates their potential to augment existing ...
Jingjing Zhang, Yunfei Mu, Xianyue Ji, Xiaoting Jiang, Ruiheng Wang, Xianguang Ding, Lianhui Wang   +6 more
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Exploring genetic counselors' perceptions of usefulness and intentions to use refined risk models in clinical care based on the Technology Acceptance Model (TAM). [PDF]

J Genet Couns, 2019
Heinlen C, Hovick SR, Brock GN, Klamer BG, Toland AE, Senter L.   +5 more
europepmc   +1 more source