Results 41 to 50 of about 245 (160)

Developing a Z‐ESG Score Model for Assessing Corporate ESG Performance

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this study we develop a novel, unique ESG rating model that exploits the logic of the Z‐score by Altman (1968) to discriminate between ESG performing and non‐ESG performing firms using indicators of ESG performance for each of the three pillars (Environmental, Social, Governance) in place of financial ratios.
Edward I. Altman, Francesco Baldi, Claudia D'Ippolito, Antonio Salvi   +3 more
wiley   +1 more source

Understanding and Addressing Delays in Endocrine Surgery: Insights From a Mixed‐Methods Study and a Pilot Educational Intervention

Journal of Surgical Oncology, EarlyView.
ABSTRACT Background and Objectives Delays in endocrine surgical care contribute to adverse events, patient dissatisfaction, and mortality. Communication is an overlooked contributor. This study identified multi‐level drivers of delay and piloted a provider‐focused intervention. Methods We conducted an IRB‐approved mixed‐methods study.
Stella Kim, Maxwell Foote, Sophia Zhang, Audrey Twyford, Abigail Fox, Jennifer E. Rosen   +5 more
wiley   +1 more source

Comparative analysis of banks’ competitiveness using crisp and fuzzy linear regression multivariate models

, 2016
В статті розглянуто особливості побудови чітких та нечітких лінійних регресійних багатофакторних моделей конкурентоспроможності банків. Обґрунтовано доцільність використання при побудові нечітких регресійних моделей конкурентоспроможності банків підходу,
Койбичук, Виталия Васильевна, Koibichuk, Vitaliia Vasylivna, Койбічук, Віталія Василівна   +2 more
core  

Random Forest Processing of Direct Analysis in Real-Time Mass Spectrometric Data Enables Species Identification of Psychoactive Plants from Their Headspace Chemical Signatures

, 2019
The United Nations Office on Drugs and Crime has designated several “legal highs” as “plants of concern” because of the dangers associated with their increasing recreational abuse. Routine identification of these products is hampered by the difficulty in
Samira Beyramysoltan (5491790), Rabi Ann Musah (1408183), Meghan Grace Appley (7372256)   +2 more
core   +1 more source

No way back: decadal lack of functional recovery of a coralligenous community in a warming Mediterranean

Oikos, EarlyView.
Anthropogenic disturbances are degrading nature at a rate that exceeds its capacity to recover. While considerable research has focused on understanding ecosystem impacts, recovery processes remain comparatively overlooked, particularly in marine ecosystems, where long‐term data on how highly complex systems respond to disturbances are scarce.
Yanis Zentner, Joaquim Garrabou, Pol Capdevila, Natalia Ruiz‐Valero, Daniel Gómez‐Gras, Núria Teixidó, Cristina Linares   +6 more
wiley   +1 more source

Integrated Approach to Risk Management for Public Administrations: The Healthcare System

, 2021
The systemic risk represents the risk of a deep transformation of the structure of an economic and / or financial system that occurs, through a chain reaction, after the manifestation of a triggering event (Bandt and Hartmann, 2000; Hunter and ...
Roberto Jannelli, Massimo Squillante1, Gerarda Fattoruso, Maria Grazia Olivieri   +3 more
core  

Planting for healthy air: Urban biodiversity enhances natural chemical environments

PLANTS, PEOPLE, PLANET, EarlyView.
Cities urgently need nature to improve public health, support biodiversity, and increase resilience to climate change. Yet not all green spaces offer the same benefits. In this study, we show that more diverse urban plantings create richer “chemical environments”; subtle, naturally scented atmospheres formed by plant emissions that can influence how ...
Aurora Ruggeri, Fethi Ben Fraj, Gaetan Glauser, Gregory Röder, Ola Söderström, Sergio Rasmann   +5 more
wiley   +1 more source

Концепция нечеткого регрессионного анализа конкурентоспособности банка

, 2015
Викладена концепція описового моделювання конкурентоспроможності банку на основі нечіткого регресійного аналізу. В пропонованій нечіткій ба-гатофакторній лінійній регресійній моделі розглядається критерій мінімізації нечіткості для оцінки нечітких ...
Койбичук, Виталия Васильевна, Койбічук, Віталія Василівна, Малярець, Л.М,, Кoybichuk, Vitalia Vasylivna   +3 more
core  

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

A possibilistic approach to latent structure analysis for symmetric fuzzy data. [PDF]

In many situations the available amount of data is huge and can be intractable. When the data set is single valued, latent structure models are recognized techniques, which provide a useful compression of the information.
D'Urso, Pierpaolo, Giordani, Paolo
core