A5100602250- Metaheuristic Optimization Algorithms Research
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Online Learning and Analytics
- Advanced Control Systems Optimization
- Plant Molecular Biology Research
- Scheduling and Optimization Algorithms
- Data Mining Algorithms and Applications
- Advanced Manufacturing and Logistics Optimization
- Luminescence and Fluorescent Materials
- Augmented Reality Applications
- Image and Object Detection Techniques
- Power Systems and Technologies
- Model Reduction and Neural Networks
- Plant Virus Research Studies
- Context-Aware Activity Recognition Systems
- Genetic Mapping and Diversity in Plants and Animals
- Literacy, Media, and Education
- Rice Cultivation and Yield Improvement
- Energy Load and Power Forecasting
- Interactive and Immersive Displays
- Digital Storytelling and Education
- Industrial Vision Systems and Defect Detection
Tianjin University of Traditional Chinese Medicine
2023-2025
Shaanxi Normal University
2022-2024
Tianjin haihe hospital
2024
Nanjing Agricultural University
2019-2024
Shanghai University
2022-2024
Peking University
2017-2023
Sichuan University
2022
State Key Laboratory of Oral Diseases
2022
Peng Cheng Laboratory
2021-2022
Shaanxi Institute of International Trade & Commerce
2022
Various real-world multiobjective optimization problems are dynamic, requiring evolutionary algorithms (EAs) to be able rapidly track the moving Pareto front of an problem once environmental change occurs. To this end, several methods have been developed predict new location set (PS) so that population can reinitialized around predicted location. In paper, we present a multidirectional prediction strategy enhance performance EAs in solving dynamic (DMOP). more accurately PS, is clustered...
A large number of prediction strategies are specific to a dynamic multiobjective optimization problem (DMOP) with only one type the Pareto set (PS) change. However, continuous DMOP more than unknown PS change has been seldom investigated. We present multimodel approach (MMP) realized in framework evolutionary algorithms (EAs) tackle problem. In this paper, we first detect change, followed by selection an appropriate model provide initial population for subsequent evolution. To observe...
Feature selection has been an important research area in data mining, which chooses a subset of relevant features for use the model building. This paper aims to provide overview feature methods big mining. First, it discusses current challenges and difficulties faced when mining valuable information from data. A comprehensive review existing is then presented. Herein, we approach two aspects: specific particular kind with certain characteristics applications classification analysis, are...
Hybrid sterility restricts the utilization of superior heterosis indica-japonica inter-subspecific hybrids. In this study, we report identification RHS12, a major locus controlling male gamete in hybrid rice. We show that RHS12 consists two genes (iORF3/DUYAO and iORF4/JIEYAO) confer preferential transmission RHS12-i type into progeny, thereby forming natural gene drive. DUYAO encodes mitochondrion-targeted protein interacts with OsCOX11 to trigger cytotoxicity cell death, whereas JIEYAO...
Pentatricopeptide repeat (PPR) proteins function in post-transcriptional regulation of organellar gene expression. Although several PPR are known to chloroplast development rice (Oryza sativa), the detailed molecular functions many remain unclear. Here, we characterized a young leaf white stripe (ylws) mutant, which has defective during early seedling growth. Map-based cloning revealed that YLWS encodes novel P-type chloroplast-targeted protein with 11 motifs. Further expression analyses...
Summary Endosperm is the main storage organ in cereal grain and determines yield quality. The molecular mechanisms of heat shock proteins regulating starch biosynthesis endosperm development remain obscure. Here, we report a rice floury mutant flo24 that develops abnormal grains central starchy cells. Map‐based cloning complementation test showed FLO24 encodes protein HSP101, which localized plastids. mutated T296I dramatically lost its ability to hydrolyze ATP rescue thermotolerance defects...
Dynamic multi-objective optimization problems (DMOPs) not only involve multiple conflicting objectives, but these objectives may also vary with time, raising a challenge for researchers to solve them. This paper presents cooperative co-evolutionary strategy based on environment sensitivities solving DMOPs. In this strategy, new method that groups decision variables is first proposed, in which all the are partitioned into two subcomponents according their interrelation environment. Adopting...
For efficient plant reproduction, seed dormancy delays germination until the environment is suitable for next generation growth and development. The phytohormone abscisic acid (ABA) plays important role in induction maintenance of dormancy. Previous studies have identified that WRKY transcription factors can regulate ABA signaling pathway. Here, we an Oswrky29 mutant with enhanced a screen T-DNA insertion population. OsWRKY29 member factor family which located nuclear. genetic analyses...
Grain size is a key agronomic trait that determines the yield in plants. Regulation of grain by brassinosteroids (BRs) rice has been widely reported. However, relationship between BR signaling pathway and still requires further study. Here, we isolated mutant, named small grain2 (sg2), which displayed smaller semi-dwarf phenotype. The decreased was caused repressed cell expansion spikelet hulls sg2 mutant. Using map-based cloning combined with MutMap approach, cloned SG2, encodes...
The pivotal role of emotions in education is universally recognized, leading to a surge interest emotion recognition. Wearable devices that collect real-time and nuanced subjective physiological data make it possible delve into the intricate emotional dynamics education. Nevertheless, there dearth research exploring its potential tracking shifts among students varying levels response specific pedagogical strategies face-to-face chess classroom. By analyzing both objective GSR HR from...
Abstract In the increasing pervasiveness of today's digital society, mobile devices are changing face education. Students can interact with in context‐aware environment. This paper presents a application based on expert system (Plant‐E) for students to acquire knowledge about plant classification by answering decision‐making questions. order study effectiveness Plant‐E and cognitive load who experience different kinds interaction learning process, another (Plant‐G) only providing information...
The theory-guided neural network (TgNN) is a kind of method which improves the effectiveness and efficiency architectures by incorporating scientific knowledge or physical information. Despite its great success, (deep) possesses certain limits when maintaining tradeoff between training data domain during process. In this paper, Lagrangian dual-based TgNN (TgNN-LD) proposed to improve TgNN. We convert original loss function into constrained form with fewer items, in partial differential...
Regulation effects of three aniline-based squaraines were investigated. The first expression distinct tissue labelling and high-resolution 3D reconstruction in the onion plant cells induced by subtle structure changes was further evaluated.
This study aims to discuss and analyze Finnish Chinese primary school teachers’ practices when digital storytelling is the teaching method, aiming for student-generated stories in video format. To meet this end, teachers introduce their guide support students into building sharing format with peers classroom online. In addition, they use of web-based environments technologies, adapt plan accordingly, enrich existing instructional material. As a result, teacher’s organizing facilitating...