Results 201 to 210 of about 4,703 (260)

The AI Sustainability Paradox: How Verification and Regulation Synergize to Curb Greenwashing in Emerging Markets

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley   +1 more source

Conscious and nonconscious thought: Insights from the neuroscience of decision-making. [PDF]

Proc Natl Acad Sci U S A
Shadlen MN.
europepmc   +1 more source

Digitalization in Sustainability Reporting and Text Attributes of Non‐Financial Disclosure: Evidence From Italian Listed Companies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Recent regulatory initiatives, including the EU Corporate Sustainability Reporting Directive (CSRD), are reinforcing the demand for more structured, transparent, and accessible sustainability reporting. However, empirical evidence on how digital tools influence the narrative dimension of these disclosures remains limited.
Francesco Sotti, Elettra Giulia Beatrice Bandi, Patrizia Tettamanzi   +2 more
wiley   +1 more source

Neural Architecture of Familiar Person Perception: Contributions of Unimodal and Multimodal Brain Regions. [PDF]

Hum Brain Mapp
Zheng T, Mattioni S, Collignon O, Gao X.
europepmc   +1 more source

Blurring the Boundaries: An Investigation of Eating Disorder Recovery Content on TikTok

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorder recovery content is widely circulated on TikTok. We thematically analyzed recovery content on TikTok, examined its associations with symptom severity among individuals with eating disorders, and assessed its co‐occurrence with pro‐eating disorder material within their TikTok feeds.
Scott Griffiths, Isabel Martyn, Harish Kannan, Ben Stone, Emma Austen, Edoardo Tescari, Usha Nattala, Wesley Grey, Noa Brittain, Deborah Mitchison, Jake Linardon, Jasmine Fardouly, Emily Harris   +12 more
wiley   +1 more source

Spoken Language Analysis in Aging Research: The Validity of AI-Generated Speech to Text Using OpenAI's Whisper. [PDF]

Gerontology
Naffah A, Pfeifer VA, Mehl MR.
europepmc   +1 more source

Outcomes of out‐of‐hospital treatment of impending tonic–clonic status epilepticus with diazepam nasal spray: A retrospective combined cohort analysis

Epilepsia, EarlyView.
Abstract Objective We assessed the timing, dosing, and effectiveness of diazepam nasal spray in a large dataset of seizures treated in the out‐of‐hospital setting, using as reference the International League Against Epilepsy criteria for tonic–clonic status epilepticus (SE) and its treatment.
John M. Stern, Leock Y. Ngo, Eric B. Segal, Danielle A. Becker, Randa G. Jarrar, Tracy A. Glauser, Jurriaan M. Peters, Emilio Perucca, Evelyn K. Shih, Enrique Carrazana, Adrian L. Rabinowicz   +10 more
wiley   +1 more source

Quantifying improvement of psychotic symptoms in clozapine-treated schizophrenia: clinical note analysis with large language models. [PDF]

Sci Rep
Matsumura M, Nishida K, Toyoda K, Kadoyama K, Yano R, Kanazawa T, Nakamura T, Morishima Y.   +7 more
europepmc   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source