Factors associated with facility readiness for providing modern family planning services in 2014 and 2017. by Rajon Banik (12066099)

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Modern family planning service readiness score by division in 2014 (A) and 2017 (B). by Rajon Banik (12066099)

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Flowchart of the sample selection procedure from BHFS 2014 and 2017. by Rajon Banik (12066099)

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Mean readiness score of modern family planning service by facility type in 2014 and 2017. by Rajon Banik (12066099)

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Overall and domain-specific mean readiness score by survey years, 2014 and 2017. by Rajon Banik (12066099)

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Percentage distribution (weighted) of surveyed facilities in 2014 and 2017. by Rajon Banik (12066099)

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Datasets used in the study. by Rajon Banik (12066099)

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Analyze data. by Xinhui Zhang (1624039)

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Mouse spinal cord injury strike parame. by Xinhui Zhang (1624039)

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NeuN expression and neuronal apoptosis in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Constructing the T10 spinal cord injury model. by Xinhui Zhang (1624039)

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Expression of NeuN and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Expression of IBA1 and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Statistically Significant Results for Heart Rate Variability (HRV) Indices with Judgment Variables as Covariates. by David Vagni (8060432)

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Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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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. …”

Improved model distillation structure. 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. …”

Significant clusters: Coronal PET images showing brain regions with significant (p < 0.001 and K > 50) metabolic inhibition (A-G) and activation (H-I) in rats following cocaine sel... by Christopher Rowan (21499924)