A5073650285- Graphite, nuclear technology, radiation studies
- Neuroscience and Neuropharmacology Research
- Educational Research and Pedagogy
- Neural dynamics and brain function
- Nuclear and radioactivity studies
- Cell Image Analysis Techniques
- Education and Vocational Training
- Innovative Educational Techniques
- Online Learning and Analytics
- Educational Technology and Assessment
- Electrochemical sensors and biosensors
- Educational Technology and Pedagogy
- Photovoltaic Systems and Sustainability
- Long-Term Effects of COVID-19
- Higher Education Learning Practices
- Domain Adaptation and Few-Shot Learning
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced Nanomaterials in Catalysis
- Advanced Algorithms and Applications
- Covalent Organic Framework Applications
- Digital Media and Visual Art
- Supercapacitor Materials and Fabrication
- Entrepreneurship Studies and Influences
- Forest Management and Policy
- Electrochemical Analysis and Applications
University of Technology Malaysia
2022-2024
Institute of Automation
2022-2024
Chinese Academy of Sciences
2021-2024
University of Chinese Academy of Sciences
2021-2022
Beijing Academy of Artificial Intelligence
2021
State Key Laboratory of Pollution Control and Resource Reuse
2019
Tongji University
2019
Sichuan University
2018
Due to the needs of human life and health, pharmaceutical industry has made great progress in recent years, but it also brought about severe environmental problems. The presence pharmaceuticals natural waters which might pose potential harm ecosystems humans raised increasing concern worldwide. Pharmaceuticals cannot be effectively removed by conventional wastewater treatment plants (WWTPs) owing complex composition, high concentration organic contaminants, salinity biological toxicity...
Importance: Generative Artificial Intelligence (GAI), including Chatgpt and Gemini, has become an important area of current technological development, it permeates all aspects people's lives, learning work. This study focused on how can support teaching in early childhood education. Methodology: adopted Systematic Literature Review method, which includes determining the topic, forming keywords, searching for literature, building & analyzing themes, conclusions. Findings: technology a wide...
Superpixel aggregation is a powerful tool for automated neuron segmentation from electron microscopy (EM) volume. However, existing graph partitioning methods superpixel still involve two separate stages—model estimation and model solving, therefore error inherent. To address this issue, we integrate the stages propose an end-to-end framework based on deep learning of minimum cost multicut problem called DeepMulticut. The core challenge lies in differentiating NPhard problem, whose...
Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction subcellular structures from ssEM datasets is less computationally demanding but still highly informative. We thus developed a region-CNN-based deep learning method to identify, segment, and reconstruct synapses mitochondria explore structural plasticity in auditory cortex mice subjected fear conditioning. Upon...
Curriculum development competencies are an important part of kindergarten teachers' professional and have been widely valued around the world. This study explored theoretical foundation behind curriculum teachers. used a Systematic Literature Review (SLR) to explore framework for Ultimately, this found that teachers is constructed from theory (Iceberg competency Onion theory), (Tyler Taba early childhood education (Montessori Chen Heqin theory). provides guidance teachers, system, teacher...
As countries around the world increasingly emphasise holistic development of students and cultivation their overall qualities, art courses are being given high priority. This study used a systematic literature review to analyse effective teaching methods in relationship between them. Ultimately, it was found that characteristics include focus on individualisation creativity, use diverse methods, practice experience, interdisciplinary integration. Characteristics an emphasis changes...
To explore the clinical significance of negative fluid balance and infection management in treatment acute respiratory distress syndrome (ARDS) caused by severe novel coronavirus infection.
As countries around the world increasingly highlight holistic development of children and cultivation their overall qualities, kindergarten-based curriculum (KBC) is being given high priority. This study used a systematic literature review (SLR) to analyze KBC kindergarten teacher in Chinese three-level management system relationship between them. Ultimately, it was found that there some effective teaching several ways. are mutual influence promotion. Kindergarten main developer, implementer...
As an important part of the curriculum reform basic education, kindergarten-based development (KBCD) plays role in early childhood education (ECE). KBCD can not only promote construction kindergarten system, but also improvement children's quality. This study used a Systematic Literature Review (SLR) to analyze theoretical framework KBCD, which includes determining topic, forming keywords, searching for literature, building & analyzing themes, and conclusions. Ultimately, it was found that...
The effective disposal of radioactive waste liquid is the precondition for rapid development nuclear industry all over world, and current situation direction its key technologies are focus attention in China. This paper introduces several traditional methods treatment emerging new technology options, summarizes principles, advantages disadvantages various methods, discusses research trend future.
Accurate and robust segmentation of mitochondria from electron microscopy images plays a critical role in understanding cellular functions. While effective, learning-based approaches require vast quantities expert annotations. Manual efforts can be alleviated by transferring the knowledge learned source domain to unseen target domains, as known unsupervised adaptation. In this work, we propose two-stage pipeline for cross-dataset segmentation, aiming mitigate shift coarse-to-fine manner....
In order to ensure the loosening and tightening of screws power equipment ancillary facilities under state electrification, a remote screw device based on improved PID algorithm neural network is designed, which mainly composed mechanical locking structure control machine. The fastening fixed insulating rod. Under condition that not powered off, can be operated remotely complete screws. make rotate stably fasten without shaking, A for dynamic parameter adjustment with stronger adaptability...
Problem-based Learning (PBL) is a student-centered teaching method with teachers as facilitators. In order to promote the mastery and implementation of PBL by primary school English teachers, this study conducted determine knowledge level PBL, compare between major non-English teachers. A total 150 from public schools in urban areas Neijiang City, Sichuan Province, China was involved study. The instrument used an online questionnaire. result descriptive statistics T-test showed that among...
Abstract Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction subcellular structures from ssEM datasets is less computationally demanding but still highly informative. We thus developed a Region-CNN-based deep learning method to identify, segment, and reconstruct synapses mitochondria explore structural plasticity in auditory cortex mice subjected fear conditioning. Upon...
In order to promote the waste minimization, study on microwave in-drum drying technology is systematically researched and demonstrated by using 1:1 engineering prototype. The experimental results show that average evaporation rate of process 6L/h ~ 8L/h. moisture content product less than 5%. total volume reduction 10%, purification coefficient about 10000. indexes meet requirements design, equipment domestically completely realized.
Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction subcellular structures from ssEM datasets is less computationally demanding but still highly informative. We thus developed a Region-CNN-based deep learning method to identify, segment, and reconstruct synapses mitochondria explore structural plasticity in auditory cortex mice subjected fear conditioning. Upon...