Results 231 to 240 of about 66,591 (332)

The Impact of Nonsteroidal Anti‐Inflammatory Drugs on Radiographic Spinal Progression in Patients With Axial Spondyloarthritis: 10‐Year Results From an Inception Cohort

Arthritis &Rheumatology, EarlyView.
Objective This study aims to investigate the impact of nonsteroidal anti‐inflammatory drug (NSAID) intake on radiographic spinal progression in axial spondyloarthritis (axSpA), considering different NSAID types (COX‐2 inhibitors [COX2i] and nonselective NSAIDs [ns‐NSAIDs]) and disease subgroups (radiographic [r‐axSpA] and nonradiographic [nr‐axSpA ...
Murat Torgutalp, Valeria Rios Rodriguez, Fabian Proft, Mikhail Protopopov, Judith Rademacher, Hildrun Haibel, Joachim Sieper, Martin Rudwaleit, Denis Poddubnyy   +8 more
wiley   +1 more source

Ruin probability: a flexible approach for measuring portfolio risk [PDF]

Insurance Markets and Companies, 2010
Andrei Salem Gonçalves, Aureliano Angel Bressan   +1 more
doaj  

“Dead Lithium” Formation and Mitigation Strategies in Anode‐Free Li‐Metal Batteries

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
Anode‐free lithium metal batteries, though promising due to their high energy density, face challenges from dead lithium formation. “Dead lithium”, disconnected from the anode, causes capacity loss, increased resistance, and safety risks. This review explores the origins of dead lithium, its impact on battery performance, and potential strategies for ...
Mozaffar Abdollahifar, Andrea Paolella
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

Medical education and health professional training during the Syrian conflict: a cross-sectional study. [PDF]

BMC Med Educ
Antoun I, Barakat O, Soqia J, Sultana B, Al-Shafie M, Ali B, Mahfoud A, Layton GR, Zakkar M.   +8 more
europepmc   +1 more source

Asymptotics of the Finite-time Ruin Probability for the Sparre Andersen Risk Model Perturbed by an Inflated Stationary Chi-process

, 2013
Enkelejd Hashorva, Lanpeng Ji
openalex   +2 more sources

Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria

British Journal of Clinical Pharmacology, EarlyView.
Aims Late‐diagnosed diabetic retinopathy (DR) is difficult and expensive to treat. Screening programmes can identify the disease early and reduce the costs of its future treatment. This study aims to analyse the cost–benefit of screening programmes for DR.
Iva Nenkova, Yoana Lilova, Alexander Oscar, Alina Levi, Maria Kamusheva, Guenka Petrova   +5 more
wiley   +1 more source

Cancer survivors' acceptability and perspectives on engagement with digital cognitive-behavioral therapy for insomnia: a mixed methods perspective. [PDF]

Support Care Cancer
Clara MI, Hegarty J, Van Straten A, Giudetti F, Buekenhout I, Koc I, Canavarro MC, Allen Gomes A.   +7 more
europepmc   +1 more source

Minimizing the Probability of Lifetime Ruin Under Ambiguity Aversion

, 2014
Erhan Bayraktar
openalex   +2 more sources

Micro/nanorobots for detecting and eliminating biological and chemical warfare agents

BMEMat, EarlyView.
Fuel‐powered and field‐driven micro/nanorobots provide a cutting‐edge platform to safeguard national security and defense. This review reports the latest research progress in micro/nanorobots in sensing and detoxifying biological and chemical warfare agents.
Song Li, Huaijuan Zhou, Di Shi, Zdeněk Sofer, Jinhua Li   +4 more
wiley   +1 more source