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ESG introduction mechanism of construction firms based on Bayesian network coupled with machine learning: Evidence from Zhengzhou.
J Environ Manage
January 2025
School of Economics and Management, Beijing Jiaotong University, 100091, Beijing, China. Electronic address:
Chinese construction enterprises are at a pivotal point in their transition to sustainable development, with Environmental, Social, and Governance (ESG) emerging as a key driver. However, limited understanding of ESG mechanisms hampers effective management strategies. To address this challenge, this study constructs an ESG introduction mechanism framework based on Bayesian networks and machine learning algorithms.
View Article and Find Full Text PDFEmpowerment through knowledge: Qualitative perceptions of 'undetectable equals Untransmittable' among people living with HIV and tuberculosis in South Africa.
Int J Nurs Stud
January 2025
Johns Hopkins University Center for Infectious Disease and Nursing Innovation, Baltimore, MD, USA; Johns Hopkins University School of Nursing, Baltimore, MD, USA.
Introduction: Undetectable equals untransmittable (U=U) is an education campaign promoting science that people living with human immunodeficiency virus (HIV) who maintain an undetectable viral load cannot transmit HIV to others. Researchers theorize that undetectable equals untransmittable messaging will decrease HIV stigma by reducing fears of HIV transmission and providing evidence to dismantle discriminatory policies. However, little is known about how people with HIV in South Africa interpret the results of their viral load tests, undetectable equals untransmittable messaging, or its impact on stigma.
View Article and Find Full Text PDFThe Association of Psychological Factors With Willingness to Share Health-Related Data From Technological Devices: Cross-Sectional Questionnaire Study.
JMIR Form Res
January 2025
Department of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, the Netherlands, 31 134662142.
Background: Health-related data from technological devices are increasingly obtained through smartphone apps and wearable devices. These data could enable physicians and other care providers to monitor patients outside the clinic or assist individuals in improving lifestyle factors. However, the use of health technology data might be hampered by the reluctance of patients to share personal health technology data because of the privacy sensitivity of this information.
View Article and Find Full Text PDFAccuracy of ChatGPT 3.5, 4.0, 4o and Gemini in diagnosing oral potentially malignant lesions based on clinical case reports and image recognition.
Med Oral Patol Oral Cir Bucal
January 2025
15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
Background: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assist in clinical decision-making. Hence, this study was carried out with the aim to evaluate and compare the diagnostic accuracy of ChatGPT 3.
View Article and Find Full Text PDFLay views in Southern France of the acceptability of refusing to provide treatment because of alleged futility.
BMC Med Ethics
January 2025
Ethics and Work Research Unit, Institute of Advanced Studies (EPHE), Paris, France.
Aim: To carry out a detailed study of existing positions in the French public of the acceptability of refusing treatment because of alleged futility, and to try to link these to people's age, gender, and religious practice.
Method: 248 lay participants living in southern France were presented with 16 brief vignettes depicting a cancer patient at the end of life who asks his doctor to administer a new cancer treatment he has heard about. Considering that this treatment is futile in the patient's case, the doctor refuses to prescribe it.
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