Results 51 to 60 of about 3,789,435 (339)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
The influence of pre-university education resources on school dropout and the unemployment rate in Romania is significant? [PDF]
Journal of Research and Innovation for Sustainable SocietyIn Romania, especially at county level, school dropout rate in primary and secondary education, school dropout rate in high school and professional education, as well as unemployment rate, differ significantly from one county to another, the values ...
Marian Zaharia
doaj +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
The Long-Term Impact of Systemic Student Support in Elementary School: Reducing High School Dropout
AERA Open, 2018 Dropping out of high school has adverse consequences, including negative effects on employment, lifetime earnings, and physical health. Students often fail to complete high school for complex reasons that often manifest long before they reach high school.
Terrence J. Lee-St. John +7 more
semanticscholar +1 more source
Arthritis Care &Research, EarlyView.Objective We aimed to test the efficacy of personalized treatment of older veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABCs) as compared with usual care (UC). Methods Two hundred ninety‐nine veterans aged 65 to 89 with CLBP from three Veterans Affairs (VA) medical centers underwent baseline testing, randomization to ABC ...
Debra K. Weiner +9 more
wiley +1 more source
, 2021 A evasão escolar é um fenômeno que afeta os sistemas educacionais do mundo inteiro, com maior ou menor gravidade, e com efeitos mais devastadores sobre os estudantes das localidades mais pobres. Ela implica um rasgo de desigualdade em função da ausência de equidade na qualidade da educação escolar.
Oliveira, José Adelmo Menezes de +1 more
openaire +1 more source
Why Are Students Dropping Out of School? The Factors that Contribute to the United States High School Dropout Rate [PDF]
, 2010 With a very fluctuating economy and an unstable job market, a high school diploma as well as a continued education is becoming extremely important. An increasing amount of businesses will not even consider a job application unless a person has a high ...
Lund, Christopher
core +1 more source
Arthritis Care &Research, Accepted Article.Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti +19 more
wiley +1 more source
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Arthritis Care &Research, Accepted Article.Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source