CDCA3 is a potential biomarker for glioma malignancy and targeted therapy.

CDCA3, a cell cycle regulator gene that plays a catalytic role in many tumors, was initially identified as a regulator of cell cycle progression, specifically facilitating the transition from the G2 phase to mitosis. However, its role in glioma remains unknown. In this study, bioinformatics analyses (TCGA, CGGA, Rembrandt) shed light on the upregulation and prognostic value of CDCA3 in gliomas.

[Analysis of Change Trend and Influencing Factors of PM-O Pollution in Tianjin from 2013 to 2020].

The change trend, relationship, and influencing factors of PM and O concentrations were analyzed by using a Kolmogorov-Zurbenko (KZ) filter coupled with stepwise multiple linear regression analysis and the spatiotemporal resolution monitoring data of PM and O and meteorological data observed in Tianjin from 2013 to 2020. The results showed that a significant decreasing trend of PM concentrations by 50.0% was observed from 2013 to 2020, whereas an increasing trend for O concentrations by 25.

Opponent Hitting Behavior Prediction and Ball Location Control for a Table Tennis Robot.

The hitting position and velocity control for table tennis robots have been investigated widely in the literature. However, most of the studies conducted do not consider the opponent's hitting behaviors, which may reduce hitting accuracy. This paper proposes a new table tennis robot framework that returns the ball based on the opponent's hitting behaviors.

[Assessment of Emission Reduction Effect of Major Air Pollution Control Measures on PM Concentrations During 13th Five-Year Period in Tianjin].

The emission reduction effect of major air pollution control measures on PM concentrations was assessed using air quality simulations based on the calculation data of emission reductions from different air pollution control measures and the high spatiotemporal resolution online monitoring data of PM during the 13th Five-Year Period in Tianjin. The results showed that the total emission reductions of SO, NO, VOCs, and PM from 2015 to 2020 were 4.77×10, 6.

A Novel Stress State Assessment Method for College Students Based on EEG.

Stress is an unavoidable problem for today's college students. Stress can arouse strong personal emotional and behavioral responses. Compared with other groups of the same age, college students have a special way of life and living environment.

[Characteristics and Meteorological Factors of PM-O Compound Pollution in Tianjin].

The characteristics, pollutant concentration distribution, and key meteorological factors of PM-O compound pollution in Tianjin were analyzed based on the high-resolution online monitoring data of PM, Oand meteorological data observed in Tianjin from 2013 to 2019. Total PM-O compound pollution was 94 days and showed a decreasing trend by year; a significant decreasing trend of PM-O compound pollution days were observed in the early stage, with a decline rate of 52.2% from 2013 to 2015.

A Data-Driven Adaptive Emotion Recognition Model for College Students Using an Improved Multifeature Deep Neural Network Technology.

With the increasing pressure on college students in terms of study, work, emotion, and life, the emotional changes of college students are becoming more and more obvious. For college student management workers, if they can accurately grasp the emotional state of each college student in all aspects of the whole process, it will be of great help to student management work. The traditional way to understand students' emotions at a certain stage is mostly through chats, questionnaires, and other methods.

[Characteristics and Sources of PM-O Compound Pollution in Tianjin].

The characteristics and sources of PM-O compound pollution were analyzed based on the high-resolution online monitoring data of PM, O and volatile organic compounds(VOCs) observed in Tianjin from 2017 to 2019. The results showed that total PM-O compound pollution was 34 days, which only appeared between March and September and slightly increased by year. The peak value of (O)(301-326 μg·m) appeared when (PM) ranged from 75 μg·m to 85 μg·m.

A Novel Fatigue Driving State Recognition and Warning Method Based on EEG and EOG Signals.

Traffic accidents are easily caused by tired driving. If the fatigue state of the driver can be identified in time and a corresponding early warning can be provided, then the occurrence of traffic accidents could be avoided to a large extent. At present, the recognition of fatigue driving states is mostly based on recognition accuracy.

Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm.

Brain tumors are one of the most deadly diseases with a high mortality rate. The shape and size of the tumor are random during the growth process. Brain tumor segmentation is a brain tumor assisted diagnosis technology that separates different brain tumor structures such as edema and active and tumor necrosis tissues from normal brain tissue.