Decrease in loss during the training process. by Muhammad Idrees (92773)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. (D) As a result, the introduction of mutualistic interactions promotes a growth in complexity in communities where it was once established as low, while stopping the introduction of further mutualistic interactions causes a slight decrease in complexity. …”

Block diagram for Average Value-based irrigation system. by Gourab Saha (8987405)

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Flow chart of Average Value-based control system. by Gourab Saha (8987405)

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Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

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Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

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TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

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Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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The refracted opposition-based learning mechanism. by Yang Guo (399435)

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Results obtained from different regression models along with their respective AIC values. by Farzana Afroz (20700794)

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Model B: Belief structural model. by Abigail A. Lee (19935335)

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Split structural models for belief. by Abigail A. Lee (19935335)

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Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

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Model A: Logistic structural model. by Abigail A. Lee (19935335)

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Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Differences between extreme values of different indicators. by Weijia Zhu (65481)

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Table of values for <i>p.</i> by Long Di (9977453)

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot’s motion strategy and reduce tracking errors. Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”