Results 231 to 240 of about 238,633 (312)
The regulatory and scientific context in the study of the medicinal use of cannabis in Peru. [PDF]
Wong-Salgado P +3 more
europepmc +1 more source
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Unlocking the potential of endophytes in enhancing plant secondary metabolite biosynthesis. [PDF]
Alum EU +7 more
europepmc +1 more source
Afghanistan: now you see me?: opium in Afghanistan: a reality check [PDF]
Pothier, Fabrice
core
Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns
ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley +1 more source
Defined culture conditions improve functional properties of mature iPSC-derived macrophages for therapeutic screening. [PDF]
Schinke M +6 more
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Correction: A hedgehog cathelicidin-derived peptide exhibits antiviral activity against herpes simplex virus type 1 infection. [PDF]
Deng E +9 more
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source

