Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”

Join-point regression analysis of the severity of road traffic accidents in Shandong Province from 2001 to 2019. by Tao Wang (12008)

Number of days’ study participants experiencing musculoskeletal problem. by Amar Das (3577064)

Drugs commonly involved in drug therapy problems in ACSH, 2019(n = 250). by Yirga Legesse Niriayo (5883866)

Subjects:

Opinion of the respondents regarding environmental problems associated with single-use plastics and how they knew about it. by Nnaemeka Andegbe Chukwuone (12475856)

Change in the levels of parental stressors or rewards between time point 1 and time point 2. by Ragnhild Bjørknes (4908577)

Subjects:

Primary and secondary efficacy end points (intention-to-treat population). by Benjamin R. Lewis (22279166)

Endogeneity problem processing results. by Jianqi Zhang (763071)

COPM problem list rankings as predictors of AHA improvements. by Youngsub Hwang (18448137)

The means and deviations of the presence of the “asking questions and defining problems” practice. by Mohammad Khair M. Al-Salamat (13933190)

The two recognized basic PK sub-problems. by Zesheng Wang (15244172)

Problematic Internet Use, Emotional Problems and Quality of Life Among Adolescents by André Luiz Monezi Andrade (5379581)

“…Students (Mage = 12.8 years; SD = 1.9) from five public schools in a city in the State of São Paulo participated in this study and completed four instruments: a sociodemographic questionnaire; Internet Addiction Test (IAT); Depression Anxiety Stress Scale (DASS-21) and Pediatric Quality of Life Inventory (PedsQL). No significant differences were detected about the frequency and intensity of symptoms of depression, anxiety, and stress compared to those who did not have problems with the use of the Internet. …”

Predicting mental health problems in adolescence using machine learning techniques by Ashley E. Tate (8677287)

“…The outcome, mental health problems, was determined by the Strengths and Difficulties Questionnaire. …”

Alternatives to solve the problem of fertilizer and other inputs shortage. by Mesele Belay Zegeye (18831351)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…<p>(A) Spiking activity of representative neurons (black points) overlaid with animal trajectories on the virtual track (gray lines). …”

Effects of SCODESS intervention on coping skills scores (Problem-focussed and emotion-focussed) among mothers of children with cancer using GEE (n = 92). by Wan Syahirah Wan Ghazali (16624629)

Significant clusters for PNC utilization during critical time in Ethiopia using 2019 EDHS data. by Muluken Chanie Agimas (17478947)

Subjects:

Comparison of clinical parameters at baseline (pre-treatment) and the point of clinical resolution after intravitreal methotrexate injection. by Rae-Young Kim (11747549)

Regression estimates of changes in staff burnout and total behavioral problems on changes in role ambiguity/conflict. by Ted C. T. Fong (8959985)

Subjects:

Approximate Y(x,y) for different value of and for test problem 3. by Lahoucine Tadoummant (21647670)