This article examines the emerging possibility of "brain-state transitioning," in which one brain state is prompted through manipulating the dynamics of the active brain. The technique, still in its infancy, is intended to provide the basis for novel treatments for brain-based disorders. Although a detailed literature exists covering topics around brain-machine interfaces, where targets of brain-based activity include artificial limbs, hardware, and software, there is less concentration on the brain itself as a target for instrumental intervention. This article examines some of the science behind brain-state transitioning, before extending beyond current possibilities in order to explore philosophical and ethical questions about how transitions could be seen to impact on assessment of responsibility and personal identity. It concludes with some thoughts on how best to pursue this nascent approach while accounting for the philosophical and ethical issues.
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http://dx.doi.org/10.1017/S096318012100092X | DOI Listing |
Heliyon
January 2025
Department of Veterinary Epidemiology and Public Health, College of Veterinary Medicine and Animal Sciences, University of Gondar, P. O. Box 196, Gondar, Ethiopia.
Unlabelled: Knowledge of domestic dog ecology and demography has been recognized as central to the design of an effective rabies control program. The study was conducted to assess owned dogs' ecology and demography and to identify predictors associated with dog ownership and rabies occurrence in the Amhara region, Ethiopia.
Method: ology: The study employed dog census and questionnaire surveys of 907 households selected using a multistage sampling technique from six rural and six urban districts of the Amhara region, Ethiopia.
Tzu Chi Med J
September 2024
School of Medicine, Tzu Chi University, Hualien, Taiwan.
Objectives: Gastric cancer (GC) is one of the most malignant tumors. Mounting studies highlighted gastric cancer stem cells (GCSCs) were responsible for the failure of treatment due to recurrence and drug resistance of advanced GC. However, targeted therapy against GCSC for improving GC prognosis suffered from lack of suitable models and molecular targets in terms of personalized medicine.
View Article and Find Full Text PDFBr J Biomed Sci
January 2025
Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
View Article and Find Full Text PDFClin Pract Epidemiol Ment Health
October 2024
Department of Occupational Safety and Environmental Health, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.
Background: The coronavirus disease (COVID-19) has affected people psychologically worldwide, particularly healthcare personnel. Even though the COVID-19 pandemic situation has eased, healthcare personnel must still perform their duties, which has resulted in psychological impacts, particularly stress.
Objectives: This study aimed to examine the risk factors associated with stress among healthcare personnel post-COVID-19 pandemic in northeast Thailand.
Pol J Pathol
January 2025
Department of Pathology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey.
Cancer stem cells (CSCs) are cancer cells responsible for cancer initiation, growth, metastasis, recurrence and resistance to treatment. OCT4 and c-MYC are widely accepted as CSC markers. In this study, we examined the immunohistochemical co-expression of c-MYC and OCT4 with Ki-67 in colorectal cancers (CRC) and the relationship between the results and prognostic and therapeutic data.
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