Table1_Correlates of physical activity habits in adolescents: A systematic review.DOCX by Tianyi Shao (12485027)

“…Our systematic review indicated the following: 1) boys performed more physical activity habits than girls, whereas girls preferred to engage in moderate-to-vigorous physical activity; 2) physical activity in adolescents decreased with age; 3) African American adolescents performed significantly more habitual physical activities than white adolescents; 4) adolescents with higher literacy had better physical activity habits; 5) support from parents, teachers, friends, and others helped adolescents in developing physical activity habits; 6) adolescents who spent less time participating in habitual physical activity had a higher body mass index; 7) adolescents who reported higher levels of self-efficacy and satisfaction with school sports tended to have stronger physical activity habits; 8) sedentary behavior, smoking, drinking, prolonged screen time, negative emotions, and excessive use of media technology were correlated with reduced habitual physical activity in adolescents. …”

Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale by Douglas McCloskey (1430353)

Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale by Douglas McCloskey (1430353)

Agriculture and food security challenge of climate change: a dynamic analysis for policy selection by Ferdous Ahmed (12792586)

“…<div><p>ABSTRACT This study presents an empirical examination of climate change related to vulnerability impacts on food security and remedial adaptation options as a suitable strategy by prioritizing needs over a 50-year period. …”

STRATEGIES FOR STEM MEASUREMENT SAMPLING: A STATISTICAL APPROACH OF MODELLING INDIVIDUAL TREE VOLUME by Hassan Camil David (5632220)

“…Schumacher-Hall model was applied using five sampling criteria with nine variations (45 in total): 1) number of trees per diameter class, being (a) fixed number, (b) proportional to the diameter class of the sample, or (c) proportional to the standard deviation of the sample; and 2) the width of the diameter class, which ranged from 1.0 up to 5.0 cm. …”

A 3-dimension urban growth analysis using local climate zone mapping by Haojie Chen (6941959)

“…Analysis of Beijing revealed that during this period, new urbanization increased by 52.8%, while intensified compactness decreased by 25%, and intensified height increased by 87.5%. …”

A Series of Bis(thiophosphinic amido)yttrium Initiators for Lactide Ring-Opening Polymerization by Linda M. Hodgson (2407261)

“…They also showed very high polymerization rates (<i>k</i>_app = 2.2 × 10⁻⁴ to 1.1 × 10⁻² s⁻¹ at [lactide]₀ = 1 M, [initiator]₀ = 5 mM). The phosphorus substituents had the greatest influence over the rate, with the order of decreasing rate being isopropyl > phenyl > ethoxy. …”

Table1_Correlates of physical activity habits in adolescents: A systematic review.DOCX by Tianyi Shao (12485027)

“…Our systematic review indicated the following: 1) boys performed more physical activity habits than girls, whereas girls preferred to engage in moderate-to-vigorous physical activity; 2) physical activity in adolescents decreased with age; 3) African American adolescents performed significantly more habitual physical activities than white adolescents; 4) adolescents with higher literacy had better physical activity habits; 5) support from parents, teachers, friends, and others helped adolescents in developing physical activity habits; 6) adolescents who spent less time participating in habitual physical activity had a higher body mass index; 7) adolescents who reported higher levels of self-efficacy and satisfaction with school sports tended to have stronger physical activity habits; 8) sedentary behavior, smoking, drinking, prolonged screen time, negative emotions, and excessive use of media technology were correlated with reduced habitual physical activity in adolescents. …”

Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale by Douglas McCloskey (1430353)

Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale by Douglas McCloskey (1430353)

Stimulus induced gamma response in an example subject. by Srividya Pattisapu (14492864)

Monthly product prices over time. by Yael Rachamin (6161423)

¹³⁷Cs activity concentrations in <i>Aralia elata</i> buds collected in Iitate village, Fukushima from 2014 to 2022. by Masaru Sakai (1669627)

Landscape vulnerability index. by Jie Zhang (64655)

“…Results manifest that: (1) Overall, from 2005 to 2021, its spatial distribution features of landscape ecological risk level are relatively-high and high in the middle, and gradually reduce in the north-south direction, as shown below: the relatively-low ecological risk areas are widely spread, and the overall risk index decrease from 0.1944 to 0.1940; the area of low and high-level ecological risk areas show a decreasing trend, which decrease by 5.0102 km² and 1.3132 km² respectively; the area of relatively-low, middle, and relatively-high-level ecological risk areas increase by 0.2655 km², 3.7803 km², and 2.4852 km², respectively. (2) The ecological risk value is correlated positively with spatial distribution, and the spatial aggregation forms are primarily low-low and high-high. (3) The ecological risk values in Engebei have a significant spatial correlation, and the spatial distribution shows a clustering effect, which is consistent with the spatial distribution. …”

Ecological risk classification. by Jie Zhang (64655)

“…Results manifest that: (1) Overall, from 2005 to 2021, its spatial distribution features of landscape ecological risk level are relatively-high and high in the middle, and gradually reduce in the north-south direction, as shown below: the relatively-low ecological risk areas are widely spread, and the overall risk index decrease from 0.1944 to 0.1940; the area of low and high-level ecological risk areas show a decreasing trend, which decrease by 5.0102 km² and 1.3132 km² respectively; the area of relatively-low, middle, and relatively-high-level ecological risk areas increase by 0.2655 km², 3.7803 km², and 2.4852 km², respectively. (2) The ecological risk value is correlated positively with spatial distribution, and the spatial aggregation forms are primarily low-low and high-high. (3) The ecological risk values in Engebei have a significant spatial correlation, and the spatial distribution shows a clustering effect, which is consistent with the spatial distribution. …”

The effect of ILEI knockdown in ILEI-high/MITF-low cells on gene expression. by Ken Noguchi (255943)

Insights into Transient Dynamics of Bacteria-Laden Liquid Bridges by Kush Kumar Dewangan (20909777)

Recoded DENV2 has disrupted RNA structural elements and genetically stable attenuation. by Wei-Xin Chin (843752)

IFA disarmed capsule-mediated immune evasion. by Tingting Wang (123983)

Ultrastructural analysis of Fhod3 transgenic mice\. by Ely Cheikh Boussaty (17471493)