- Research in Cotton Cultivation
- Advanced DC-DC Converters
- Energy Load and Power Forecasting
- Complex Systems and Time Series Analysis
- Data Visualization and Analytics
- Electromagnetic Compatibility and Noise Suppression
- Plant-Microbe Interactions and Immunity
- Multilevel Inverters and Converters
- Generative Adversarial Networks and Image Synthesis
- Biofuel production and bioconversion
- Stock Market Forecasting Methods
- Face recognition and analysis
- Gaze Tracking and Assistive Technology
- Tactile and Sensory Interactions
- Human Pose and Action Recognition
- Logic, programming, and type systems
- Organ Donation and Transplantation
- CRISPR and Genetic Engineering
- Animal Nutrition and Physiology
- Augmented Reality Applications
- Advanced Manufacturing and Logistics Optimization
- Advanced Technology in Applications
- Medical Image Segmentation Techniques
- 3D Surveying and Cultural Heritage
- Digital Media and Visual Art
Beijing Chest Hospital
2025
Capital Medical University
2025
Guangxi University
2024
Southern Medical University
2024
Nanfang Hospital
2024
University of Warwick
2024
Zhejiang University
2020-2023
Institute of Semiconductors
2023
Zhejiang International Studies University
2022
Southern University of Science and Technology
2022
Interface icons are often scaled to adapt different displays in cross-device collaborations. However, adaptive scaling of may cause perceptual bias how icon arrays visually perceived, which reduces usability and coherent user experience. This article presents an empirical study that evaluates the consistency spacing size caused by scaling. Then impact various visual features (i.e., border shape, polarity, composition) on investigated. In this study, we found causes a size. The shape has...
For the past decades, stock prediction has been a popular topic in financial applications. Many approaches including machine learning based and statistical models have employed to forecast price changes market. Considering power of Restricted Bolztmann Machine (RBM) for feature extraction, we propose incorporate RBM several classifiers predict short-term market trend. In this paper, eleven technical indicators are firstly inferred by using trading data, e.g., close price, lowest open highest...
Semantic communication (SemCom) holds promise for reducing network resource consumption while achieving the communications goal. However, computational overheads in jointly training semantic encoders and decoders-and subsequent deployment devices-are overlooked. Recent advances Generative artificial intelligence (GAI) offer a potential solution. The robust learning abilities of GAI models indicate that decoders can reconstruct source messages using limited amount information, e.g., prompts,...
Gossypol, a terpenoid compound mainly synthesized in the cotton roots, acts as phytoalexin protecting plants from biotic stress. Roots are critical for both secondary metabolism and growth of plant. Light plays an important role plant material metabolism, however, effect root illumination (RI) on seedling gossypol remains unclear. In present study, genetic standard line TM-1 four pairs near-isogenic lines (NILs) were used materials to study impact RI seedlings. Results showed that, compared...
T-distributed stochastic neighbor embedding (T-SNE) algorithm with high order truncation is a kind of dimensionality reduction method, which belongs to nonlinear and popular learning method. In the T-SNE high-order truncation, T-distribution used replace Gaussian distribution when calculating probability between sample points in low-dimensional space, objective function solved by Kullback-Leibler divergence truncation. developed from SNE, its long tail effect effectively solves crowding...
Although automation and robotics are widely implemented in manufacturing industry nowadays, assembly tasks rework processes still carried out manually by human operators because of their complexity the need for a level adaptability flexibility greater than solutions can provide. However, manual operations exhibit variability subject to errors, which could lead unexpected delays or quality issues. Enabling traceability is also intrinsically more challenging automated as it typically relies on...
Edges crossing and nodes overlapping have a significant effect on the users’ recognition comprehension of network diagrams. In this study, we propose visual evaluation method for cognition First, carries out set cognitive experiments to collect user’s performance that affects variables, including accuracy response time. The pupil diameter is measured through an eye tracker reflect their load. Second, significance test points features as independent variables then establishes regression...
Well-designed garbage collectors for Java are essential automatic memory management. Garbage First Collector (G1GC) is the default collector JVM, and Z (ZGC) has been latest-released since JDK 11. These two possess distinctive performance based on different environments. Knowing features between these can help developers to make choices according their own requirements of collection so that carry out better. Meanwhile, there relatively less comparative studies G1GC ZGC at present. Hence,...
A regulated DC Transformer (RDCX) is usually combined by a (DCX) and PWM regulator which only processes part of the total power. Thus, it can realize voltage regulation while maintaining high efficiency. However, apart from common-mode (CM) noise caused DCX, low frequency spectrums will also be introduced through parasitic capacitors DCX's transformer, makes EMI more complicated. In this paper, an equivalent circuit CM in cellular RDCX derived winding re-arrangement method proposed to...
Totem-pole power factor correction (PFC) converter as front-end becomes a popular solution for two-stage AC-DC. This paper presents an analysis of the common mode (CM) noise performance totem-pole PFC AC-DC converter, by establishing equivalent model that takes into account Y capacitance DC-DC converter. Based on proposed CM and operational waveforms, it is shown current caused line frequency switch, relationship between value maximum described. Experimental results indicate large causes...
The critical conduction mode (CRM) totem-pole power factor correction (PFC) converter is widely used in low-to-medium applications of airborne instrument generation system due to its advantages less stage components and low switching loss. leading phase the input current caused by filter capacity (IFC) comes into unnegligible for high line frequency (360–800 Hz) grid, which deteriorates PF value. In order improve PF, either a high-performance MCU or look-up table (LUT) method required direct...
Abstract Verticillium wilt (VW), caused by dahliae Kleb., is a major plant disease that causes heavy annual losses around the world, especially in Upland cotton ( Gossypium hirsutum ). The disease-causing pathogen can be classified into defoliating (D) and non-defoliating (ND) pathotypes based on induced symptoms. At present, little known about complex mechanisms of fungal pathogenicity resistance to it. Comparative analysis temporal transcriptome was performed two V. strains, Vd_086 Vd_BP 2...
Abstract Background: Verticillium wilt (VW), caused by dahliae Kleb., is a major plant disease that causes heavy annual losses around the world, especially in Upland cotton ( Gossypium hirsutum ). The disease-causing pathogen can be classified into defoliating (D) and non-defoliating (ND) pathotypes based on induced symptoms. At present, little known about complex mechanisms of fungal pathogenicity resistance to it. Comparative analysis temporal transcriptome was performed two V. strains,...
The combination of Computer-assisted language learning (CALL) and the online education has developed rapidly in era big data. However, physical distance between students instructors courses frequently results a bigger communication gap than traditional classrooms. To enhance efficacy instruction, it is vital to analyze how assess quality instruction they receive. This study investigated effectiveness an EFL writing course using SEOTE model by Bangert carried out follow-up interviews based on...
Nowadays, the intelligent technology is widely developed. As a major category of industrial design products, and manufacture furniture has gradually innovated from traditional type to direction intelligence. Based on researching existing paper briefly introduced classified concept its industry status. This mainly summarizes composition, technical support, principles development furniture. Through this study, author can provide new ideas for designers