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Identification of Cannabis Product Characteristics and Pricing on Dark Web Markets.
J Psychoactive Drugs
January 2025
Global Health Policy and Data Institute, San Diego, CA, USA.
Growing cannabis use has made it the most widely cultivated and trafficked illicit drug globally according to the World Health Organization, with 147 million people consuming cannabis-derived products (CDPs) in various product forms and constituency. Despite restrictions in certain countries, unregulated access can still be found on the dark web which specializes in trafficking of illicit goods. The objective was to systematically collect data from multiple marketplaces to identify types of cannabis products offered for sale.
View Article and Find Full Text PDFConstruction of PVA/OHA-Gs@PTMC/PHA double-layer nanofiber flexible scaffold with antibacterial function for tension free rectal in-situ reconstruction.
Biomaterials
December 2024
Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325011, China. Electronic address:
The effective prevention and treatment of anastomotic leakage after intestinal anastomosis for colorectal diseases is still a major clinical challenge. In order to assist intestinal anastomosis healing and avoid anastomotic leakage caused by high tension, low blood supply or infection, we designed a double-layer nanofiber intestinal anastomosis scaffold, which was composed of electrospun PTMC/PHA nanofibers as the main layer, and electrospun PVA/OHA-Gs nanofibers with antibacterial properties as the antibacterial surface layer. This double-layer scaffold has good toughness, its maximum tensile force value could reach 8 N, elongation could reach 400 %, and it has hydrophilic properties, and its contact angle was about 60°.
View Article and Find Full Text PDFPerspectives Toward COVID-19 Sanctions in the Orthodox Jewish Community in Brooklyn and Queens: A Qualitative Study of Medical Providers Experience.
J Relig Health
January 2025
Department of Medical Ethics, Weill Cornell Medicine, New York, NY, USA.
The Ultra-Orthodox (Haredi) Jewish Community in New York City suffered significantly during the COVID-19 pandemic. The community came under public scrutiny after some members staunchly advocated for reopening of certain resources central to community culture. This study utilizes qualitative techniques to examine the perspectives of medical providers that serve the Haredi community toward pandemic-related government sanctions, as well as the resultant effects the restrictions had on community receipt of healthcare.
View Article and Find Full Text PDFTreatment of Seizures in People with Intellectual Disability.
CNS Drugs
January 2025
Cornwall Intellectual Disability Equitable Research (CIDER), University of Plymouth, Truro, England.
There is a synergistic relationship between epilepsy and intellectual disability (ID), and the approach to managing people with these conditions needs to be holistic. Epilepsy is the main co-morbidity associated with ID, and clinical presentation tends to be complex, associated with higher rates of treatment resistance, multi-morbidity and premature mortality. Despite this relationship, there is limited level 1 evidence to inform treatment choice for this vulnerable population.
View Article and Find Full Text PDFSpatiotemporal characteristics and dynamic prediction of agricultural carbon compensation potential in the middle and lower reaches of the Yellow River Basin.
Environ Sci Pollut Res Int
January 2025
College of Science, Inner Mongolia University of Technology, Hohhot, 015000, China.
Climate change, driven by carbon emissions, has emerged as a pressing global ecological and environmental challenge. Here, we leverage the panel data of five provinces and above prefecture-level cities in the middle and lower reaches of the Yellow River Basin to estimate the agricultural carbon emissions (CEs), carbon sinks (CSs), carbon compensation rate (CCR), and carbon compensation potential (CCP) from 2001 to 2022 and investigate the spatiotemporal evolution characteristics for this region. We propose an improved GLM-stacking ensemble learning method for CE prediction with limited sample data.
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