Results 201 to 210 of about 17,787 (304)
Interoperable smart city transformation: Insights from European data space for smart communities. [PDF]
Meszaros S, Puura A, Thoeye T.
europepmc +1 more source
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
Optimal scheduling study of microgrids based on multistrategy improved sardine algorithm. [PDF]
Wei L, Zhong H.
europepmc +1 more source
ABSTRACT This study analyses the commitment of marine tourism companies to Corporate Social Responsibility (CSR) and the factors that affect it (economics, pressures from interest groups, barriers, innovative capacity, relationships of the company with its environment and characteristics of the businesses).
Olga González‐Morales +2 more
wiley +1 more source
Integrating a Smart Sensor Chip and AI Predictive Analytics Into the Sehhaty App to Enhance Diabetes Management in Saudi Arabia. [PDF]
ALqunisi AF.
europepmc +1 more source
ABSTRACT Integrating sustainability not only into corporate strategy and product design is essential to address pressing global challenges. This study proposes a framework that integrates social life cycle assessment (S‐LCA) into time‐driven activity‐based costing (TD‐ABC) to manage both social and economic issues by assessing social impacts across ...
Widiene Essouid +4 more
wiley +1 more source
Guided Bone Regeneration (GBR) for Reconstructing Alveolar Bone Defects Following Resective Treatment of Medication-Related Osteonecrosis of the Jaws (MRONJ) Lesions: A Case Series. [PDF]
Masri D +4 more
europepmc +1 more source
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan +3 more
wiley +1 more source
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza +4 more
wiley +1 more source

