Kaida Cai

Design of Dielectric Barrier Discharge Plasma Power Supply System Based on Zero-Voltage Switching Control Strategy

Xinmin Xie, Jing Xiao, Kaida Cai, Zuzhao Kang et autres

To address the issues of high switching losses in power devices and device temperature rise caused by hard switching in conventional plasma power supplies, this study presents a dielectric barrier discharge plasma power supply system based on a zero-voltage switching (ZVS) control …

cn (code pays fourni par la source)

Variable selection with broken adaptive ridge regression for interval-censored competing risks data

Fatemeh Tabib Mahmoudi, Chenxi Li, Kaida Cai, Xuewen Lu

ca, us, cn (code pays fourni par la source)

Research on a High-Frequency High-Voltage Plasma Power Supply Based on SPWM Modulation

Weimin Qin, Kaida Cai, Xiao Guo, Zixiong Yan et autres

Plasma power supplies find extensive applications across industrial, energy, environmental, and medical domains. This study addresses limitations of conventional plasma power supplies, including high harmonic current content, neutral-point potential imbalance, and manufacturing complexity. A novel design approach for high-frequency, high-voltage plasma power …

cn (code pays fourni par la source)

A New Streaming K‐Nearest Neighbor Algorithm for Status Prediction in Block‐Sparse, Autocorrelated, Irregular Longitudinal Data

Xin Zhao, Xiaokai Nie, Yu Zhao, Kaida Cai

In streaming longitudinal data, status prediction becomes challenging when input variables are block-sparse, autocorrelated, and irregular in both dimension and distribution. General methods cannot model such data directly, especially when the classes are extremely imbalanced. This research proposes a K-Nearest Neighbor (KNN) …

cn (code pays fourni par la source)

Encapsulation Process and Dynamic Characterization of SiC Half-Bridge Power Module: Electro-Thermal Co-Design and Experimental Validation

Kaida Cai, Jing Xiao, Xingliang Su

Silicon carbide (SiC) half-bridge power modules are widely utilized in new energy power generation, electric vehicles, and industrial power supplies. To address the research gap in collaborative validation between electro-thermal coupling models and process reliability, this paper proposes a closed-loop methodology of …

cn (code pays fourni par la source)

Design and Implementation of an Environment Monitoring System for Agricultural Farms Based on the Internet of Things

Yanyan Jia, Xin Su, Kaida Cai

With intelligent breeding becoming the development trend of modern agriculture, precise monitoring and regulation of the breeding environment are crucial for enhancing animal health and production efficiency. In this project, an environment monitoring system for farms based on the STM32 micro controller …

cn (code pays fourni par la source)

Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling

Kaida Cai, Xiaofang Yang, Zhengyan Wang, Wenzhi Fu et autres

Sepsis is a life-threatening condition that presents substantial challenges to healthcare and pharmacological management due to its high mortality rates and complex patient responses. Accurately predicting patient outcomes is essential for optimizing therapeutic interventions and improving clinical decision-making. This study evaluates the …

bd, cn, ca (code pays fourni par la source)

Design of a phase-shifted Bragg grating modulator based on metal dielectric nanowire plasmonic waveguides

Yanyan Jia, Jing Xiao, Qiqin Wei, Kaida Cai

cn (code pays fourni par la source)

Three-Level All-SiC High-Frequency High-Voltage Plasma Power Supply System

Kaida Cai, Jing Xiao, Zhe Yang, Renjie Hu

Plasma power supplies are extensively utilized in various manufacturing and medical industries. Addressing the challenges of high-voltage and high-temperature resistance in current plasma power supply systems under high-frequency conditions, this study proposes a novel design method for an all-SiC high-frequency high-voltage plasma …

cn (code pays fourni par la source)

Smoothed Weighted Quantile Regression for Censored Data in Survival Analysis

Kaida Cai, Hanwen Liu, Wenzhi Fu, Xin Zhao

In this study, we propose a smoothed weighted quantile regression (SWQR), which combines convolution smoothing with a weighted framework to address the limitations. By smoothing the non-differentiable quantile regression loss function, SWQR can improve computational efficiency and allow for more stable model …

cn (code pays fourni par la source)

Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung Adenocarcinoma

Kaida Cai, Wenzhi Fu, Hanwen Liu, Xiaofang Yang et autres

Background/Objectives: There exist significant challenges for lung adenocarcinoma (LUAD) due to its poor prognosis and limited treatment options, particularly in the advanced stages. It is crucial to identify genetic biomarkers for improving outcome predictions and guiding personalized therapies. Methods: In this study, …

cn (code pays fourni par la source)

Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning Approach

Kaida Cai, Zhengyan Wang, Xiaofang Yang, Wenzhi Fu et autres

In the clinical diagnosis of pneumonia, particularly during the COVID-19 pandemic, individuals who progress to a critical stage requiring mechanical ventilation are classified as mechanically ventilated critically ill patients. Accurately predicting the discharge outcomes for this specific cohort, especially those with COVID-19, …

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