Results 221 to 230 of about 10,729,439 (310)

Visualizing the internal structure of the charge-density-wave state in CeSbTe. [PDF]

Nat Commun
Que X, He Q, Zhou L, Lei S, Schoop L, Huang D, Takagi H.   +6 more
europepmc   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Analysis of the Internal Structure and Psychometric Properties of the Entrapment Scale in Spanish Adolescents and Emerging Adults. [PDF]

Eur J Investig Health Psychol Educ
Huertes-Del Arco A, Izquierdo-Sotorrío E, Ramírez-Uclés I, Carrasco MA, Holgado-Tello FP.   +4 more
europepmc   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, EarlyView.
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Research on the Physical Properties and Internal Structure of PVP/Nb₂O₅ Nanocomposite Coatings. [PDF]

Polymers (Basel)
Jarka P, Kumari P, Łazarska M, Godzierz M, Kotowicz S, Marcisz M, Bochenek M, Hajduk Ł, Szindler MM, Hajduk B.   +9 more
europepmc   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Investigation of the Internal Structure of Hard-to-Reach Objects Using a Hybrid Algorithm on the Example of Walls. [PDF]

Entropy (Basel)
Brociek R, Szczotka J, Pleszczyński M, Nanni F, Napoli C.   +4 more
europepmc   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Internal Structure Dependence of Biodegradation for Polyamide 4 Thin Films in Seawater. [PDF]

Biomacromolecules
Tamura S, Mokudai H, Masaki T, Taguchi H, Kikuchi T, Yamada NL, Seto H, Matsuno H, Tanaka K.   +8 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source