A5101719648- Stellar, planetary, and galactic studies
- Astronomy and Astrophysical Research
- Astro and Planetary Science
- Catalysis and Oxidation Reactions
- Electromagnetic Compatibility and Measurements
- Advanced Memory and Neural Computing
- Cloud Computing and Resource Management
- Neural Networks and Reservoir Computing
- Astrophysics and Star Formation Studies
- Photonic and Optical Devices
- Electromagnetic Compatibility and Noise Suppression
- Optical Network Technologies
- Interconnection Networks and Systems
- Advanced Optical Network Technologies
- Oxidative Organic Chemistry Reactions
- Flame retardant materials and properties
- Polymer composites and self-healing
- Ferroelectric and Negative Capacitance Devices
- Catalytic Processes in Materials Science
- Astronomical Observations and Instrumentation
- Industrial Vision Systems and Defect Detection
- Advanced Sensor and Control Systems
- Electromagnetic Scattering and Analysis
- Lightning and Electromagnetic Phenomena
- Advancements in Semiconductor Devices and Circuit Design
Eastern Institute of Technology
2025
Anshun University
2021-2024
University of Otago
2019-2024
Beihang University
2010-2024
West Virginia University
2020-2024
University of Wisconsin–Madison
2024
New York University
2022-2024
University of Florida
2022-2024
San Diego State University
2022-2024
Southwest Forestry University
2023
ABSTRACT Modifying the genomes of many organisms is becoming as easy manipulating DNA in test tubes, which made possible by two recently developed techniques based on either customizable binding protein, TALEN, or CRISPR/Cas9 system. Here, we describe a series efficient applications derived from these technologies, combination with various homologous donor plasmids, to manipulate Drosophila genome: (1) precisely generate genomic deletions; (2) make replacement fragment at single nucleotide...
Driven by rapid advancements in interconnection, packaging, integration, and computing technologies, parallel distributed systems have significantly evolved recent years. These become essential for addressing modern computational demands, offering enhanced processing power, scalability, resource efficiency. This paper provides a comprehensive overview of systems, exploring their interrelationships, key distinctions, the emerging trends shaping evolution. We analyse four...
The effects of choline chloride/oxalic acid deep eutectic solvents (ChCl/OA DES) as a green and effective promoter assisting the synthesis vanadium phosphorus oxide (VPO) catalysts for selective oxidation n-butane to maleic anhydride were investigated in detail. A combination characterizations with performance was considered understand essential DES. DES play role crystal induced agent structural modifier, facilitating formation single-crystal structure on surface precursor; correspondingly,...
Deep eutectic solvents (DESs) as a novel class of ionic liquid analogues has been widely used in various fields. Herein, multifunctional biomass-based DES composed choline chloride (ChCl) and glucose (GLU) was synthesized for the modification vanadium phosphorus oxide (VPO) catalyst, which is sole catalyst selective oxidation n-butane to maleic anhydride (MA) industry. The more green, cost-effective efficient compared with traditional modifier (metal inorganics organic polymers). A...
Catalytic performance of undoped and Fe-doped VPO catalysts.
Abstract Deep eutectic solvents (DESs) consisting of choline chloride (ChCl) and polyols (Ethylene glycol (EG), 1,4‐Butanediol (BDO), Glycerol (GL), Xylitol (XYL)) as a green effective promoter assisting the synthesis vanadium phosphorus oxide (VPO) were innovatively proposed investigated in detail for selective oxidation n‐butane to maleic anhydride (MA). The catalytic results showed that performance VPO catalysts was improved significantly with addition DESs. A combination techniques...
Abstract Vanadium phosphorus oxide (VPO) catalysts promoted by phosphorus-based ionic liquids (ILs) as structure directing agent and promoters have been innovatively synthesized investigated for selective oxidation of n-butane to maleic anhydride (MA). The catalytic performances showed that the IL addition notably improved conversion MA selectivity, during which optimized 3%IL-VPO catalyst exhibited maximum yield 59.2% is much better than blank VPO with 49.4% under same reaction conditions....
All-reduce is the crucial communication primitive to reduce model parameters in distributed Deep Neural Networks (DNN) training. Most existing all-reduce algorithms are designed for traditional electrical interconnect systems, which cannot meet requirements training of large DNNs due low data bandwidth systems. One promising alternatives optical interconnect, can provide high bandwidth, transmission delay, and power cost. We propose an efficient scheme called WRHT (Wavelength Reused...
Current Internet of Things (IoT) embedded applications use machine learning algorithms to process the collected data. However, computational complexity and storage requirements existing deep methods hinder wide availability applications. Spiking Neural Networks (SNN) is a brain-inspired methodology that emerged from theoretical neuroscience, as an alternative computing paradigm for enabling low-power computation. Since these IoT devices are usually resource-constrained, compression...
The proposed novel electromagnetic radiated emission source identification method is based on Independent Component Analysis (ICA). conducted by processing a suitable number of spectrum data which obtained measurements at different points around equipment under test (EUT). Using specific kurtosis-based ICA algorithm, we can not only distinguish EUT's from ambient noise, but also extract feature radiation sources. correlated coefficient extracted signal and original to investigate the...
Unmanned aerial vehicles (UAVs) have recently become popular in collecting positional data of road users. In comparison to other tools at ground level, UAVs the advantages low cost, wider view coverage, and significantly less occlusion. However, depth relief users perspective distortion onboard camera induce nonnegligible error while applying for localization This study proposed a method accurate user images. First, induced by was examined modeled. Then, deep-learning-based applied automatic...
Free-space strong-field terahertz (THz) electromagnetic pulses have emerged as a potent tool for non-equilibrium quantum state control. However, these applications predominantly rely on electric field components, with limited utilization of magnetic components. A traditional electro-optical sampling technique may encounter constraints due to the strength saturation effect when detecting THz pulses. Here we identified intense THz-induced Zeeman torque signals in CoFe and successfully detected...
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At present, there are many information security issues in the digitization of intangible cultural heritage (ICH).The digital ICH is vulnerable to malicious tampering, stealing or attacks.The blockchain technology has characteristics distribution, un-tamper and traceability, which enhances process protecting information.Therefore, this paper discusses integrity protection encryption from perspective provides a reference for network research resources.
All-gather collective communication is one of the most important primitives in parallel and distributed computation, which plays an essential role many high performance computing (HPC) applications such as Deep Learning (DL) with model hybrid parallelisms. To solve bottleneck All-gather, optical interconnection network can provide unprecedented bandwidth reliability for data transfer among nodes. However, traditional algorithms are designed electrical interconnection, cannot fit well...
This study uses opinion dynamics to explore the influence of extremists in consensus process large group decision-making. When moderates are exposed extremists, their risk preference will be affected. By using leader theory for reference, model is constructed. To better similarity between and modeled measure degree. From this model, every moderate, divided into two groups: homogeneous heterogeneous group. Finally, evolution structured by considering that change dynamically according initial...
Abstract We report results of crystal growth, layering the deuterium–deuterium (D 2 ) layers in cylindrical cryogenic targets. For first time, we realized global coverage D layer on inner surface capsule through growth ice, and control temperature field without infrared radiation, foam lining, magnetic field. Analysis image x-ray phase contrast imaging shows that thickness is about 36.53 μ m, roughness 3.23 m. The finite element method applied to simulate target, transition process ,...