Results 181 to 190 of about 12,094,673 (411)

Developmental change and stability in adolescent self-concept. [PDF]

open access: green, 1984
Ritch C. Savin‐Williams, David H. Demo
openalex   +1 more source

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

open access: yesArthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

Analysis of the Longitudinal Behavior of Serum Levels of Soluble Flt1 and Placental Growth Factor in Pregnant Patients With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective This study analyzed longitudinal trajectories of soluble Flt1 (sFlt1) levels, placenta growth factor (PlGF) levels, and sFlt1:PlGF ratios in a cohort of pregnant patients with systemic lupus erythematosus (SLE). Methods Blood samples were collected (14–18, 24–26, 30–32, 34–36, and 38–40 weeks), stored at −80°C, and evaluated for serum levels ...
Nilson R. de Jesús   +7 more
wiley   +1 more source

The comparison of self-esteem between male and female cancer patients

open access: yesحیات, 2006
Background & Aim: Chronic illnesses, such as cancer, can cause changing in self-esteem. This study has been perform to compare the self-esteem between male and female cancer patients.
F Noghani   +3 more
doaj  

Self-concept Changes in Women as a Result of Training [PDF]

open access: bronze, 1982
Elizabeth Yeckel Brown   +2 more
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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