Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Cohort characteristics. by Fernanda Talarico (807333)

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Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

Subjects:

Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

Subjects:

Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

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eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

“…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”

A Novel Phospholipase A₁ Gene from Tritipyrum Improves Wheat Early Ripening and Salt Tolerance by Jv Zhang (11175243)

“…However, the malondialdehyde content decreased. Conversely, <i>TtPLA</i>_<i>1–1</i> downregulation in “Y1805” using a virus-induced gene silencing system decreased the salt tolerance. …”

A Novel Phospholipase A₁ Gene from Tritipyrum Improves Wheat Early Ripening and Salt Tolerance by Jv Zhang (11175243)

“…However, the malondialdehyde content decreased. Conversely, <i>TtPLA</i>_<i>1–1</i> downregulation in “Y1805” using a virus-induced gene silencing system decreased the salt tolerance. …”

Threading Behavior and Dynamics of Ring-Linear Polymer Blends under Poiseuille Flow by Deyin Wang (6028850)

“…However, as rings are semiflexible (<i>K</i>_br > 0), the threading probability significantly decreases and then significantly increases as the flow field strength increases. …”

Bar charts showing the numbers of significantly differentially expressed genes for the different contrasts. by Gillian P. McHugo (8965919)

Early IL-33 administration expands trTregs and improves disease outcome in infected mice. by Santiago Boccardo (5927954)

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Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

Deletion of C3 and C3aR reversed <i>S. aureus</i>-induced decrease in synapse density and increase in microglial phagocytosis of synapses. by Haifang Zhang (314544)

Details of significantly differentially abundant metabolites (<i>PPP1CC</i>-SSKO vs control). by Jiahong Sun (6497603)

Frontier analysis for the potential for improvement in reducing the burden of IBD among WCBA across 204 countries and regions. by Jiefeng Zhao (9090305)

Results from linear regression analysis for δ¹³C or δ¹⁵N and collection date. by Nathan D. McTigue (10706460)

Farmers’ perception of the different causes of grazing area decrease in the studied districts of central Mozambique. by Télis Adolfo Cumbe (21560162)

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”