A5089920351- Corporate Finance and Governance
- Banking stability, regulation, efficiency
- Non-Invasive Vital Sign Monitoring
- Indoor and Outdoor Localization Technologies
- Taxation and Compliance Studies
- Industrial Vision Systems and Defect Detection
- Advanced Optical Sensing Technologies
- Gait Recognition and Analysis
- Auditing, Earnings Management, Governance
- Genetic Mapping and Diversity in Plants and Animals
- Gas Sensing Nanomaterials and Sensors
- Hand Gesture Recognition Systems
- Blockchain Technology Applications and Security
- Tribology and Lubrication Engineering
- Advanced Photocatalysis Techniques
- Housing Market and Economics
- Antenna Design and Analysis
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Genetics and Plant Breeding
- Advanced SAR Imaging Techniques
- Categorization, perception, and language
- Imbalanced Data Classification Techniques
- Lanthanide and Transition Metal Complexes
- Characterization and Applications of Magnetic Nanoparticles
University of Arizona
2022-2024
Baylor University
2016-2023
Jiaxing Vocational Technical College
2023
Baogang Group (China)
2023
Rutgers, The State University of New Jersey
2023
Tianjin University
2023
South China Normal University
2021-2022
Henan University
2020-2021
China Agricultural University
2015-2021
Hunan University of Finance and Economics
2021
Summary Starch is the most abundant storage carbohydrate in maize kernels and provides calories for humans other animals as well raw materials various industrial applications. Decoding genetic basis of natural variation kernel starch content needed to manipulate quantity quality via molecular breeding meet future needs. Here, we identified 50 unique single quantitative trait loci (QTLs) with 18 novel QTLs linkage mapping, joint mapping a genome‐wide association study multi‐parent population...
Real-world contractual agreements between firms are often incomplete, leading to suboptimal investment and loss of value in supply chain relationships. To what extent can blockchain technology help alleviate problems arising from incompleteness? We examine this issue by exploiting a quasi-natural experiment based on the staggered adoption U.S. state laws that increased firms’ in-state ability develop, adopt, use technology. find that, after exposure pro-blockchain law, with greater asset...
In this paper, we propose mmPose-FK, a novel millimeter wave (mmWave) radar-based pose estimation method that employs dynamic forward kinematics (FK) approach to address the challenges posed by low resolution, specularity, and noise artifacts commonly associated with mmWave radars. These issues often result in unstable joint poses vibrate over time, reducing effectiveness of traditional techniques. To overcome these limitations, integrate FK mechanism into deep learning model develop an...
Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern, where timely detection can greatly minimize harm. With advancements in radio frequency (RF) technology, radar has emerged as powerful tool human fall detection. Traditional machine learning (ML) algorithms, such support vector machines (SVM) and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> -nearest neighbors (kNN), have...
This study investigates a novel approach for analyzing Sit-to-Stand (STS) movements using millimeterwave (mmWave) radar technology, aiming to develop noncontact, privacy-preserving, and all-day operational solution healthcare applications. A 60GHz mmWave system was employed collect point cloud data from 45 participants performing STS motions. Using deep learning-based pose estimation model Inverse Kinematics (IK), we calculated joint angles, segmented motions, extracted clinically relevant...
Starch from maize kernels has diverse applications in human and animal diets industry manufacturing. To meet the demands of these applications, starch quantity quality need improvement, which requires a clear understanding functional mechanisms involved biosynthesis accumulation. In this study, recombinant inbred line (RIL) population was developed cross between lines CI7 K22. The RIL population, along with both parents, grown three environments, then genotyped using MaizeSNP50 BeadChip...
Supply Chain Finance (SCF) is important for improving the effectiveness of supply chain capital operations and reducing overall management cost a chain. In recent years, with deep integration Internet, Big Data, Artificial Intelligence, Internet Things, Blockchain, etc., efficiency financial services can be greatly promoted through building more customized risk pricing models conducting rigorous investment decision-making processes. However, rapid development new technologies, SCF data has...
Unmanned aerial vehicles (UAVs) serve as base stations to provide controlled wireless connections for ground users. Due their constraints on both mobility and energy consumption, a key problem is how deploy UAVs adaptively in geographic area with changing traffic demand of mobile users, while meeting the aforementioned constraints. In this article, we propose Quality Experience (QoE)-driven energy-efficient adaptive deployment strategy multi-UAV networks based hybrid deep reinforcement...
In this study, we designed a Cd2+ whole-cell biosensor with both positive and negative feedback cascade amplifiers in Pseudomonas putida KT2440 (LTCM) based on our previous design only amplifier (TCM). The results showed that the newly developed LTCM was greatly improved compared to TCM. Firstly, linear response range of expanded while maximum raised from 0.05 0.1 μM. Meanwhile, adding further increased fluorescence output signal 1.11-2.64 times under same culture conditions. Moreover, time...
Plastid isoprenoids, a diverse group of compounds that includes carotenoids, chlorophylls, tocopherols, and multiple hormones, are essential for plant growth development. Here, we identified characterized SEED CAROTENOID DEFICIENT (SCD), which encodes an enzyme functions in the biosynthesis plastid isoprenoids maize (Zea mays). SCD converts 2C-methyl-d-erytrithol 2,4-cyclodiphosphate to 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate penultimate step methylerythritol phosphate (MEP) pathway....
In this paper, we illustrate a method to stabilize the position estimation of human skeleton using mmWave radar. our previous study, an optimized CNN architecture was used extract positions accurately. However, joints vibrates over time. field digital signal processing, filters are remove unwanted parts and widely applied in noise reduction, radar, audio video etc. three types i.e. Elliptic, Savitzky-Golay, Whittaker-Eilers discussed both angles skeleton. This paper further presents humanoid...
The Dodd-Frank Act created differential regulatory requirements for banks above specified asset size thresholds. Event study results imply greater expected net costs above-threshold banks. Consistent with hypotheses that near-below-threshold alter their behavior to attempt avoid or delay the and/or ensure growth they do experience is highly beneficial, we find grow assets, risk-weighted and total loans more slowly, charge higher rates on commercial loans. suggest by altering behaviors in...
As an effective ingredient of disinfectants, ClO- inevitably remains in water, which induces potential health hazards such as lung damage and kidney disease. In this study, we synthesized stimulus-responsive dual-ligand luminol-Tb-GMP coordination polymer nanoparticles (luminol-Tb-GMP CPNPs) highly selective fluorescent probes for the real-time visual detection . CPNPs consist Tb3+ , a nuclear metal, that coordinates with GMP luminol, auxiliary ligand. can be oxidized by its structure,...
Purpose This paper aims to study the inertia squeeze film characteristics between ferrofluid-lubricated circular stepped disks. Owing development of modern machine systems, application ferrofluids has received great attention. Because disks are a special situation films, further fluid force effects on squeezing mechanism is motivated. Design/methodology/approach On basis ferrohydrodynamic flow model Shliomis incorporating momentum integral method, forces in films presence external magnetic...
Unmanned aerial vehicles (UAVs) can be used as air base stations to provide fast wireless connections for ground users. Due their constraints on both mobility and energy consumption, a key problem is how deploy UAVs adaptively in geographic area with changing traffic demand of mobile users, while meeting the aforemetioned constraints. In this paper, we propose an adaptive deployment strategy UAV-aided networks based hybrid deep reinforcement learning, where UAV adjust its movement direction...
A correction to this paper has been published: https://doi.org/10.1007/s00339-021-04470-4