Results 101 to 110 of about 326,864 (305)
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
Parallel Trade in Prescription Medicines in the European Union: The Age of Reason? [PDF]
In light of the economic reality, which is increasingly confirmed by relevant judicial authorities, we submit that hindering parallel trade in prescription medicines does not damage patients and national health budgets.
Dawes, Anthony, Forrester, Ian S.
core +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Emergence of the Biosimilar Sector and Opportunities of Developing Country Suppliers [PDF]
As biologic products begin to come off-patent, a market is emerging for biosimilars (also known as biogenerics or follow-on biologics). Firms from emerging countries such as India and China have dominated the production of active ingredients in ...
Huzair, Farah, Kale, Dinar
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
This research examines halal medicine in Indonesia from the perspectives of Sharia disputes and state law. This research method has involved qualitative, legal analysis, and field observation.
Achmad Tubagus Surur +2 more
doaj +1 more source
Consolidation and Innovation in the Pharmaceutical Industry: The Role of Mergers and Acquisitions in the Current Innovation Ecosystem [PDF]
Recent changes in the pharmaceutical industry have spurred an unprecedented wave of mergers and acquisitions. Some researchers and agencies have questioned whether pharmaceutical consolidation could impede drug innovation.
Shepherd, Joanna
core +2 more sources
A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang +9 more
wiley +1 more source
This paper presents the process of turnover the medicaments between pharmaceutical market that is shaped by amendment of pharmaceutical law. Relationship presented in this article is to show the way of medicament through the law maze from the moment of ...
Agnieszka Woś
doaj

