Results 111 to 120 of about 1,679,263 (303)

Outcomes for depression and anxiety in primary care and details of treatment: a naturalistic longitudinal study [PDF]

, 2011
Background There is little evidence as to whether or not guideline concordant care in general practice results in better clinical outcomes for people with anxiety and depression.
Peter FM Verhaak, Hilbink-Smolders Mirrian, Verhaak Peter FM, Penninx Brenda WJH, Hilbink-Smolders, Mirrian, Peter Spreeuwenberg, Spreeuwenberg, Peter, Bensing, Jozien M, Brenda WJH Penninx, Verhaak, P.F.M., Hilbink-Smolders, M., {Van Der Meer}, Klaas, Prins, Marijn A, van der Meer, K., Marijn A Prins, Laurant, M.G., Bensing, J.M., van der Meer Klaas, van Marwijk, H.W.J., Verhaak, P.F., van Marwijk Harm WJ, van Marwijk, Harm W. J., Prins, Marijn A., Verhaak, Peter F M, Prins, M.A., Penninx, B.W.J.H., Laurant Miranda GH, Prins Marijn A, Verhaak, Peter F. M., Klaas van der Meer, Marwijk, H.W.J. van, Spreeuwenberg Peter, Harm WJ van Marwijk, Bensing Jozien M, Van Marwijk, Harm, Penninx, Brenda W. J. H., Meer, K. van der, Spreeuwenberg, P., Laurant, Miranda G H, Laurant, Miranda G. H., Miranda GH Laurant, Penninx, Brenda W J H, Laurant, M.G.H., van der Meer, Klaas, Bensing, Jozien M., Jozien M Bensing, Mirrian Hilbink-Smolders   +46 more
core   +5 more sources

Validation of Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric Measures for Children With Chronic Nonbacterial Osteomyelitis

Arthritis Care &Research, EarlyView.
Objective To assess the validity of the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert, Eveline Y. Wu, Melissa Oliver, Joshua Scheck, Sivia Lapidus, Ummusen Kaya Akca, Shima Yasin, Aleksander Lenert, Sara Stern, Antonella Insalaco, Manuela Pardeo, Gabriele Simonini, Edoardo Marrani, Xing Wang, Bin Huang, Leonard K. Kovalick, Natalie Rosenwasser, Erin Balay‐Destrude, Gabriel Casselman, Adriel Liau, Ava Klein, Yurong Shao, Claire Yang, Molly Briggs, Ethan Mueller, Emily Deng, Paige Rhiannon Trunnell, Iris Hamilton, Elise Machrone, Doaa Mosad Mosa, Lori Tucker, Hermann Girschick, Ronald M. Laxer, Georgina Tiller, Jonathan Akikusa, Christian M. Hedrich, Karen Onel, Fatma Dedeoglu, Marinka Twilt, Seza Ozen, Polly J. Ferguson, Laura Schanberg, Bryce B. Reeve, Yongdong Zhao   +43 more
wiley   +1 more source

Inflammatory, clinical and sociodemographic factors associated with depressive disorder during pregnancy in Brazilian women

Scientific Reports
Depressive disorder during pregnancy is common and may be influenced by clinical and immune factors. We conducted a cross-sectional exploratory study of 55 pregnant women receiving care at a public university-affiliated antenatal clinic in Brazil to ...
Daniela Aparecida de Faria, Luiza Oliveira Perucci, Zolder Marinho Silva, Sirlaine Pio, André Talvani, Melina Barros-Pinheiro   +5 more
doaj   +1 more source

Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group [PDF]

, 2016
Full author list omitted for brevity. For full list of authors see article.The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved.
Rose, Matthias S. F., ENIGMA-Major Depressive Disorder Working Group, Schmaal, L.   +2 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Predictors of employment in bipolar disorder : a systematic review [PDF]

, 2013
Background Severe work impairment can be present for a considerable proportion of the course of bipolar disorder (BD) and is costly for governments, services and individuals.
Marwaha, Steven, Eleanor Gilbert, Marwaha, Steven; id_orcid, Gilbert, Eleanor, Steven Marwaha   +4 more
core   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

Lamotrigine in the treatment of schizoaffective disorder [PDF]

, 1998
There is accumulating evidence for the efficacy of lamotrigine in the treatment of bipolar disorder, including bipolar depression, both as monotherapy and in combination with sodium valproate.
Grunze, Heinz, Erfurth, Andreas, Walden, Jörg   +2 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source