Results 221 to 230 of about 736,084 (308)

Overcoming five key challenges to make the energy transition a just labor transition. [PDF]

Nat Commun
Fernández Intriago L, Burrow S, Chakraborty S, Daniels R, Finkelstein Shapiro A, Garcia H, Heffron R, Jakob M, Janser M, Kerr S, Leining C, Maré D, Pucheta M, Raimi D, Rambharos M, Richardson E, Tarazona M, Terzi A.   +17 more
europepmc   +1 more source

“Intrapericardial Approach” for Venous Outflow Reconstruction in Living‐Donor Liver Transplantation for Budd‐Chiari Syndrome: Surgical Techniques and LongTerm Outcomes

Annals of Gastroenterological Surgery, EarlyView.
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata, Tetsuya Tajima, Satoshi Ogiso, Shinji Uemoto, Etsuro Hatano   +4 more
wiley   +1 more source

How to combat false ideas in medicine: lessons from Hugo Mercier's theory. [PDF]

Rev Fac Cien Med Univ Nac Cordoba
Cuestas E.
europepmc   +1 more source

Civilians in World War II and DSM-IV mental disorders: results from the World Mental Health Survey Initiative

Social Psychiatry and Psychiatric Epidemiology, 2018
R. Frounfelker, S. Gilman, T. Betancourt, S. Aguilar-Gaxiola, J. Alonso, E. Bromet, R. Bruffaerts, G. Girolamo, S. Gluzman, O. Gureje, E. Karam, Sing Lee, J. Lépine, Y. Ono, B. Pennell, D. G. Popovici, M. Have, R. Kessler, On behalf of the Who World Mental Health Survey Collaborators   +18 more
semanticscholar   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

[The implications of Argentina's withdrawal from the world health organization] [PDF]

Rev Fac Cien Med Univ Nac Cordoba
Cuestas E.
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

Artificial Intelligence Assistance in the Peer Review Analysis of Medical Articles: Advantages, Disadvantages, and Ethical Considerations. [PDF]

Arq Bras Cardiol
Zimerman A, d'Avila A.
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