Studies of community reactions to biotechnology and genetic engineering (GE), in particular, have identified a number of correlates of acceptance, including the field of application of a technology and various characteristics of the perceiver. Factor analysis of acceptability ratings (N=686) of 12 applications of new technologies revealed three factors, denoting medical, societal, and indulgent applications. Acceptability ratings of each application and of GE in principle were regressed onto 18 demographic, attitudinal, trust, and value variables previously identified as potential correlates of acceptance. Predictive profiles for acceptance of medical and societal applications were largely similar. General receptiveness toward science and technology was the primary predictor of GE acceptance and a major predictor of acceptance for each application area. Environmental concern and self-transcendent (e.g., pro-nature) values did not predict acceptance in any instance. Findings clarify considerations associated with acceptance of biotechnological innovations and support arguments against knowledge- and trust-deficit explanations of resistance to technology.
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http://dx.doi.org/10.1002/biot.200700105 | DOI Listing |
Pharmazie
December 2024
Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), North-West University, Potchefstroom, Republic of South Africa.
The COVID-19 pandemic caused global pandemonium, and due to an unprecedented global response, the popularity and use of (veterinary) ivermectin, amongst many other conceivable 'treatments', experienced a meteoric rise. Ivermectin is a macrocyclic lactone compound belonging to the avermectin drug class and is a registered medicine in many countries, although the most common use is as veterinary medicine. In this study, a fast HPLC method was developed and validated for the quantification of ivermectin in veterinary products that were used off-label by a substantial number of people during COVID-19.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Department of Pharmacology, School of Health Sciences, Central University of Punjab, Bathinda, 151401, India.
Background: Multiple sclerosis (MS) is a chronic autoimmune condition that damages the myelin sheath of neurons in the central nervous system, resulting in compromised nerve transmission and motor impairment. The astrocytopathy is considered one of the prominent etiological factor in the pathophysiology of demyelination in MS. The expression level of ceramide synthase-2 (CS-2) is yet to be established in the pathophysiology of astrocytopathy although the derailed ceramide biosynthetic pathways is well demonstrated in the pathophysiology of demyelination.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Maccabi Healthcare Services, Tel Aviv, 6812509, Israel.
Urinary tract infections (UTIs) often prompt empiric outpatient antibiotic prescriptions, risking mismatches. This study evaluates the impact of "UTI Smart-Set" (UTIS), an AI-driven decision-support tool, on prescribing patterns and mismatches in a large outpatient organization. UTIS integrates machine learning forecasts of antibiotic resistance, patient data, and guidelines into a user-friendly order set for UTI management.
View Article and Find Full Text PDFSurg Endosc
January 2025
Division of Minimally Invasive and Bariatric Surgery, Penn State Health Milton S. Hershey Medical Center, 500 University Drive, Hershey, PA, 17033, USA.
Background: Defect closure with mesh suture is a novel technique for hernia repair. Originally described as the construction of lightweight macroporous polypropylene mesh strips as a suture material, it is now available as an FDA-approved product. Mesh suture better distributes tensile forces and reduces fascial tearing compared to traditional suture but requires less implanted material and tissue dissection compared to planar mesh.
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