Results 181 to 190 of about 393,475 (314)

Harm Minimisation Drug Policy Implementation Qualities: Their Efficacy with Australian Needle and Syringe Program Providers and People Who Inject Drugs. [PDF]

Healthcare (Basel), 2022
Resiak D, Mpofu E, Rothwell R.
europepmc   +1 more source

National drug policies

The Lancet, 1995
R O, Laing, D G, Ross-Degnan
openaire   +2 more sources

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
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, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

US drug policy does not align with experts' rankings of drug harms: a multi-criteria decision analysis. [PDF]

Harm Reduct J
Broman M, Davis AK, Armstrong S, Levin A, Ahmed K, Angarita GA, Arterberry BJ, Bergeria C, Earleywine M, Gex KS, Gregoire T, Lister JJ, Mathai DS, Mehtani NJ, Menke N, Nichols CD, Shaub H, Tackett AP, Weiss B, Yalin N, Phillips LD.   +20 more
europepmc   +1 more source

Civil society involvement in harm reduction drug policy: reflections on the past, expectations for the future. [PDF]

Harm Reduct J, 2021
O'Gorman A, Schatz E.
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Counting the savings: impact of Georgia's drug policy interventions on households. [PDF]

Int J Equity Health
Gorgodze T, Zoidze A, Gotsadze G.
europepmc   +1 more source

An ethical analysis of UK drug policy as an example of a criminal justice approach to drugs: a commentary on the short film Putting UK Drug Policy into Focus. [PDF]

Harm Reduct J, 2020
Holland A.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Geographic Differences in Public Opinion on Drug Policy: Understanding Patterns of Support and 'Don't Know' Responses. [PDF]

Drug Alcohol Rev
Kelaita P, O'Reilly K, Ritter A.
europepmc   +1 more source