Results 211 to 220 of about 47,368 (267)

Signalling ESG Misconduct: What Matters to Investors?

Business Strategy and the Environment, EarlyView.
ABSTRACT We investigate what matters most to investors when environmental, social and governance (ESG)‐related corporate misconduct news is signalled and how these factors influence the magnitude of market value punishment. Using an event study on 44,859 corporate news items related to ESG incidents, we find that investors react negatively to such ...
Dewan Muktadir‐Al‐Mukit
wiley   +1 more source

Mislabel Identification Using Transfer Learning-Based Ensemble Method. [PDF]

IEEE Access
Islam MS, Kim MJ, Dutta P.
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Partial Discharge Characteristics and Aging Identification Model of Polymer Insulation Materials in Environmentally Friendly Insulating Liquids Under Electro-Thermal Aging Conditions. [PDF]

Polymers (Basel)
Ye W, He Y, Kong X, Ding T, Qiao X, Dai X, Yan J.   +6 more
europepmc   +1 more source

Driving Fan Engagement: The Role of Orientation, Value Creation, and Community Dynamics in Sports Fan Pages

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Online fan communities are important peripheral arenas for sports consumption. However, the psychological and social mechanisms that sustain engagement across these digital spaces are not sufficiently understood. This study thus investigates how Orientation Toward Sporting Events (OSE) drives fan page engagement and, subsequently, satisfaction.
Hamid Shaker, Babak Taheri, Martin Gannon, Josip Mikulić   +3 more
wiley   +1 more source

The Future of Obesity Care: Exploring Synergies Between Metabolic Bariatric Surgery, Interventional Endoscopy and Pharmacotherapy. [PDF]

Obes Surg
Brown WA, Sumithran P, Cowley M, Cohen R, Le Roux C, Schauer P, Agarwal S, Ard J, Boza C, Cargiuolo JL, Ceccarelli L, Coverdale J, Dunkin B, Finucane F, Gupta K, Kaplan LM, Kurian M, Lingvay I, Miras A, Pearlman C, Petry T, Pournaras D, Purnell J, Ruiz R, Schiavon C, Tahrani A, Tarek H, Tomaszewski J, Tumik S, Younes R.   +29 more
europepmc   +1 more source

One Anatomy, Multiple Valve Choices: Interobserver Agreement in Selecting Transcatheter Pulmonary Valve

Catheterization and Cardiovascular Interventions, EarlyView.
Methodological framework among international observers to understand clinical decision‐making and interobserver agreement in TPVR planning. ABSTRACT Background Transcatheter pulmonary valve replacement (TPVR) requires selecting the optimal device type, size, and position. Variability in anatomical shape may affect procedural planning.
Camilo E. Pérez‐Cualtán, Jaime Cabrales, Francisco Garay, Carlos Eduardo Guerrero‐Chalela, Marcelo Rivarola, Juan P. Rozo, Juan Carlos Samayoa, Jenny Zablah, Javier Navarro‐Rueda, Juan C. Briceño Triana, Luis Felipe Giraldo   +10 more
wiley   +1 more source

Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]

Sci Rep
Qasem MA, Motiram BM, Thorat S, Al-Hejri AM, Alshamrani SS, Alshmrany KM.   +5 more
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture. [PDF]

Sci Rep
Ghafoor A, Majid M, Jahangir H, Zaidi SAJ, Hassan SR, Ismael WM, Rehman AU.   +6 more
europepmc   +1 more source