Results 161 to 170 of about 179,014 (305)

Access in all areas? A round-up of developments in market access and health technology assessment: part 10. [PDF]

J Comp Eff Res
Ramagopalan SV, Pannelay AJ.
europepmc   +1 more source

REPORT OF THE COURT OF JUSTICE ON CERTAIN ASPECTS OF THE APPLICATION OF THE TREATY ON EUROPEAN UNION. Luxembourg, May 1995 [PDF]

, 1995

core  

Scale‐up of Streptomyces species cultivations based on the morphological response to the energy dissipation rate

AIChE Journal, EarlyView.
Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck, Anton Brass, Artiom Boreiko, Marvin Ueßeler, Marcel Mann, Johannes Pastoors, Valentin Steier, Philipp Eibl, Christian Witz, Dorothea M. Schütterle, Ivan Schlembach, Miriam A. Rosenbaum, Jorgen Magnus   +12 more
wiley   +1 more source

Measuring unbearable psychache in suicide risk: psychometric evidence for the Italian UP3 and comparison with the psychache scales. [PDF]

Front Psychol
Bungaro N, Dattilo L, Innamorati M, Balsamo M, Blandizzi C, Alessio C, De Vincenzo F, Quinto RM, Genova F, Contardi A, Carlucci L.   +10 more
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Theory of mind on demand: do we prepare or react? [PDF]

Front Psychol
Roth M, Marsella S.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Bilateral Ankyloblepharon Filiforme Adnatum: A Case Report Highlighting the Importance of Early Recognition and Treatment. [PDF]

Cureus
Nakamura C, Negishi T, Ito M, Koiwa C, Nakao S.   +4 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

A Case Report of Infective Endocarditis With Icterus. [PDF]

Clin Case Rep
Rezaie Kalantari R, Sadrian A, Banaee Rezaeie T, Mortezazadeh M, Kumar D, Acidri M, Mofidi A.   +6 more
europepmc   +1 more source