Results 161 to 170 of about 143,471 (289)
Drug Information for Community Pharmacies: Survey on Needs and Use of Drug Information with Special Focus on New Information Technology [PDF]
Nidal Jaradat, Waleed M. Sweileh
openalex +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir+4 more
wiley +1 more source
Community pharmacy attitudes and behaviors following a buprenorphine best practices dissemination. [PDF]
Roth W, Dadiomov D.
europepmc +1 more source
Evaluation of a model for counseling patients with dyspepsia in Swedish community pharmacies [PDF]
Tommy Westerlund+5 more
openalex +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
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+6 more
wiley +1 more source
The Students' Awareness about Practical Training in Community Prescription Pharmacy.
Tetsuo Adachi+2 more
openalex +2 more sources
New pharmacy processes implemented at a community teaching hospital [PDF]
William T. Stevenson
openalex +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong+5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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+4 more
wiley +1 more source