Results 181 to 190 of about 4,438 (333)
Machine learning prediction of conduct problems in children using the longitudinal ABCD study
Background Children with conduct problems are at elevated risk for negative psychosocial, educational, and behavioral outcomes. Identifying at‐risk children can aid in providing timely intervention and prevention, ultimately improving their long‐term outcomes.
Kathryn Berluti +4 more
wiley +1 more source
Association of Dyslipidemia With Dermatological Manifestations in Patients With Type 2 Diabetes Mellitus. [PDF]
Tirmizi SS +5 more
europepmc +1 more source
Background Callous–unemotional (CU) traits identify youth with more severe and chronic trajectories of conduct problems. However, the etiology of CU traits may be heterogeneous, undermining the search for effective treatments. The level of co‐occurring anxiety has been used to identify “primary” (lower anxiety) versus “secondary” (higher anxiety ...
Rachel C. Tomlinson +6 more
wiley +1 more source
Profile of Dermatological Disorders Among Workers Involved in Fruit Growing Industry of Kashmir Valley in North India. [PDF]
Bashir Y +7 more
europepmc +1 more source
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck +5 more
wiley +1 more source
Palmoplantar keratoderma in a middle-aged male. [PDF]
Siriwardene M, Isaacs F.
europepmc +1 more source
[Did he acquire theses callosities from the toilet?].
J. Iffländer
semanticscholar +1 more source

