A5103064338- Error Correcting Code Techniques
- Advanced Wireless Communication Techniques
- DNA and Biological Computing
- Coding theory and cryptography
- Cooperative Communication and Network Coding
- Algorithms and Data Compression
- Advanced Battery Materials and Technologies
- 3D Printing in Biomedical Research
- Memory and Neural Mechanisms
- Energy, Environment, Economic Growth
- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- graph theory and CDMA systems
- Synthesis and properties of polymers
- ERP Systems Implementation and Impact
- Software-Defined Networks and 5G
- Human Mobility and Location-Based Analysis
- Knowledge Management and Sharing
- Neuroscience and Neuropharmacology Research
- Biometric Identification and Security
- Big Data and Business Intelligence
- Regulation and Compliance Studies
- Nonlinear Waves and Solitons
- Wildlife Conservation and Criminology Analyses
- Scheduling and Timetabling Solutions
UNSW Sydney
2023-2024
Neurosciences Institute
2024
Zhejiang Sci-Tech University
2024
HaitiChildren
2024
Jiangsu Normal University
2022-2023
Georgia Institute of Technology
2023
Tsinghua University
2023
First Affiliated Hospital Zhejiang University
2022
Zhejiang Gongshang University
2022
Massachusetts Institute of Technology
2022
Abstract Neuronal ensembles that hold specific memory (memory engrams) have been identified in the hippocampus, amygdala, or cortex. However, it has hypothesized engrams of a are distributed among multiple brain regions functionally connected, referred to as unified engram complex. Here, we report partial map complex for contextual fear conditioning by characterizing encoding activated neuronal 247 using tissue phenotyping mice. The mapping was aided an index, which 117 cFos + holding with...
The construction of high-quality carbon-based energy materials through biotechnology has always been an eager goal the scientific community. Herein, juice vesicles bioreactors (JVBs) bio-technology based on hesperidium (e.g., pomelo, waxberry, oranges) is first reported for preparation composites with controllable components, adjustable morphologies, and sizes. JVBs serve as miniature reaction vessels that enable sophisticated confined chemical reactions to take place, ultimately resulting...
Understanding cellular architectures and their connectivity is essential for interrogating system function dysfunction. However, we lack technologies mapping the multiscale details of individual cells in human organ-scale system. We developed a platform that simultaneously extracts spatial, molecular, morphological, information from same brain. The includes three core elements: vibrating microtome ultraprecision slicing large-scale tissues without losing (MEGAtome), polymer hydrogel-based...
Channel coding plays a pivotal role in ensuring reliable communication over wireless channels. With the growing need for ultra-reliable emerging use cases, significance of channel has amplified. Furthermore, minimizing decoding latency is crucial critical-mission applications, while optimizing energy efficiency paramount mobile and Internet Things (IoT) communications. As fifth generation (5G) communications currently operation 5G-advanced on horizon, objective this paper to assess prominent...
CRC-Polar codes under SC list decoding are well-regarded for their competitive error performance. This paper examines these by focusing on minimum weight codewords and breaking them down into the rows of polar transform. Inspired significant impact parity check bits positions, we apply a shifted rate-profile polarization-adjusted convolutional (PS-PAC) codes, thereby achieving similar improvements in distribution through precoding. The results demonstrate improvement performance, up to 0.5...
RNA polymerase I (Pol I) synthesizes about 60% of cellular by transcribing multiple copies the ribosomal gene (rDNA). The transcriptional activity Pol controls level ribosome biogenesis and cell growth. However, there is currently a lack methods for monitoring in real time. Here, we develop LiveArt (live imaging-based analysis rDNA transcription) to visualize quantify spatiotemporal dynamics endogenous (rRNA) synthesis. reveals mitotic silencing reactivation transcription, as well kinetics...
Abstract Understanding cellular architectures and their connectivity is essential for interrogating system function dysfunction. However, we lack technologies mapping the multi-scale details of individual cells in human organ-scale system. To address this challenge, developed a platform that simultaneously extracts spatial, molecular, morphological, information from same brain, by integrating novel chemical, mechanical, computational tools. The includes three key tools: (i) vibrating...
Technological empowerment has facilitated the development of cities, which have progressed from pre-industrial to industrial information-based and are currently transitioning towards advanced stage smart cities. The evolution transformation cities fuelled by technology, serves as a key driver. Disruptive technologies radically scientific innovations that dramatically change way consumers, businesses, industries operate destroying value existing technical competencies, thereby providing...
To effectively guide and stimulate the green transformation behavior of resource industries promote sustainable high-quality development region, it is necessary to deeply analyze clarify barrier factors industries. This study measures efficiency by selecting panel data mining industry from 29 Chinese provinces, based on DEA-SBM model, employing ideas methods system engineering, for years 2012–2019. Hence, employs Tobit model verify that hinder The results show (1) industries’ barriers...
A bilevel programming (BLP) problem is a NP hard that very to be solved. The existing solution algorithms or methods designed solve the particular BLP problems are inefficient and lack of universality. In this paper, modified particle swarm optimization (PSO) put forward firstly can improve significantly performance standard PSO. And then universal effective algorithm for solving model presented, which based on PSO main idea hierarchical iteration. experimental studies show new used general models
Rate matching techniques, such as puncturing and shortening, have been developed for polar codes to accommodate the specific code length requirements in practical applications. However, existing shortening techniques cannot be directly applied polarization-adjusted convolutional (PAC) codes. In this work, we propose an approach shorten PAC by imposing constraints on precoding process based patterns. The proposed technique leads up 0.2 dB power gain error correction performance compared...
In this paper, an inventory management information system has been developed by employing the robust database operation characteristics and technology of Delphi7.0. Inventory in resource-based enterprises is a time-consuming complicated task that requires daily dealing with large amount document data. It critical research field for achieving informatization, intellectualization, scientificization enterprises. We have optimized response to existing problems Such satisfactorily meets needs...
Abstract In this work, by constructing a principal‐agent model, we analyze the intrinsic causes of collusion between government and enterprises, particularly through central local governments resource‐based enterprises. The analysis has been conducted introducing public as third‐party monitoring body to explore positive role participation in preventing henceforth entailing model validation with certain examples. green transformation enterprises is an effective way for their sustainable...
Belief propagation (BP) decoding of polar codes benefits from the high parallelism in hardware implementation and consequently provides throughput compared to successive cancellation-based algorithms. As evolved log-likelihood ratios (LLRs) process have a wide dynamic range, quantization error can degrade correction performance BP decoder. To reduce uniform scheme, we may need use more bits for each LLR value which is not desirable due required memory space. In this paper, design an...
Convolutional precoding in polarization-adjusted convolutional (PAC) codes, a recently introduced variant of polar has demonstrated an effective reduction the number minimum weight codewords (a.k.a error coefficient) codes. This potential to significantly improve correction performance. From codeword formation perspective cosets, this limitation PAC coding which depends on rows generator matrix involved codewords. To overcome limitation, capitalizing understanding decomposition...
Convolutional precoding in polarization-adjusted convolutional (PAC) codes can reduce the number of minimum weight codewords (a.k.a error coefficient) polar codes. This result improving correction performance (near) maximum likelihood (ML) decoders such as sequential and sphere decoders. However, PAC cannot be decoded by decoding. The reason is twofold: 1) Sphere decoding performed from last bit - due to lower rectangular shape transform. Whereas generator matrix no longer triangular. 2) One...
Channel coding plays a pivotal role in ensuring reliable communication over wireless channels. With the growing need for ultra-reliable emerging use cases, significance of channel has amplified. Furthermore, minimizing decoding latency is crucial critical-mission applications, while optimizing energy efficiency paramount mobile and Internet Things (IoT) communications. As fifth generation (5G) communications currently operation 5G-advanced on horizon, objective this paper to assess prominent...
In this paper, we are going to explore the research question which is: Is social media engagement related support among young people? To assess importance, article investigates that relationship between and through several literature reviews. It has searched some themes about emotional impact, empathy, prosocial behaviour in community, psychological health of adolescents, purchase intention so on. work, significance is help teenagers better understand influence on their mental health. Also,...
Channel coding plays a pivotal role in ensuring reliable communication over wireless channels.With the growing need for ultra-reliable emerging use cases, significance of channel has amplified.Furthermore, minimizing decoding latency is crucial critical-mission applications, while optimizing energy efficiency paramount mobile and Internet Things (IoT) communications.As fifth generation (5G) communications currently operation 5G-advanced on horizon, objective this paper to assess prominent...
Convolutional precoding in polarization-adjusted convolutional (PAC) codes is a recently introduced variant of polar codes. It has demonstrated an effective reduction the number minimum weight codewords (a.k.a error coefficient) This potential to significantly improve correction performance. From codeword formation perspective, this limitations. Capitalizing on understanding decomposition minimum-weight codewords, paper studies reverse that can effectively reduce more than PAC We propose...