A5026068788- Adipose Tissue and Metabolism
- Phytochemicals and Antioxidant Activities
- Lipid metabolism and biosynthesis
- Tensor decomposition and applications
- Advanced Neural Network Applications
- Metabolomics and Mass Spectrometry Studies
- Diet and metabolism studies
- Pancreatic function and diabetes
- Adversarial Robustness in Machine Learning
- Analytical Chemistry and Chromatography
- Potato Plant Research
- Human Pose and Action Recognition
- Cassava research and cyanide
- Biochemical Analysis and Sensing Techniques
- Generative Adversarial Networks and Image Synthesis
- Essential Oils and Antimicrobial Activity
- Mitochondrial Function and Pathology
- Metabolism, Diabetes, and Cancer
- Tryptophan and brain disorders
- Plant and animal studies
- Multimodal Machine Learning Applications
- Digital Media Forensic Detection
- Advanced Chemical Sensor Technologies
- Heavy Metals in Plants
- Robotic Path Planning Algorithms
Harvard University
2022-2025
Rutgers, The State University of New Jersey
2018-2024
Jiangnan University
2010-2024
Chengdu Research Base of Giant Panda Breeding
2020-2024
Rutgers Sexual and Reproductive Health and Rights
2019-2023
Xiangtan University
2023
West China Medical Center of Sichuan University
2023
China United Network Communications Group (China)
2023
Shanghai University of Traditional Chinese Medicine
2021
Shuguang Hospital
2021
ObjectiveTo examine the psychological distress and associated predictor factors of 2019 corona-virus disease (COVID-19) on survivors in early convalescence Shenzhen.MethodA survey questionnaire consisting post-traumatic stress disorder self-rating scale (PTSD-SS), depression (SDS), anxiety (SAS) was presented to COVID-19 still quarantine. Scores each subscale were dependent variables Mann-Whitney test stepwise regression analysis.ResultsA total 126 subjects included study, mean scores...
Advanced tensor decomposition, such as train (TT) and ring (TR), has been widely studied for deep neural network (DNN) model compression, especially recurrent networks (RNNs). However, compressing convolutional (CNNs) using TT/TR always suffers significant accuracy loss. In this paper, we propose a systematic framework decomposition-based compression Alternating Direction Method of Multipliers (ADMM). By formulating TT to an optimization problem with constraints on ranks, leverage ADMM...
Recently, the vulnerability of deep neural network (DNN)-based audio systems to adversarial attacks has obtained increasing attention. However, existing allow adversary possess entire user's input as well granting sufficient time budget generate perturbations. These idealized assumptions, however, make mostly impossible be launched in a timely fashion practice (e.g., playing unnoticeable perturbations along with streaming input). To overcome these limitations, this paper we propose fast...
Secondary metabolites, including phenolic acids, play important roles in plant defense against abiotic stress. The objectives of this study were to evaluate the response acids short‐term heat shock (7 h) and long‐term stress (21 d) hard fescue [ Festuca trachyphylla (Hack.) Krajina] identify constituents associated with genotypic variation tolerance. Plants heat‐tolerant cultivar ‘Reliant IV’ heat‐sensitive ‘Predator’ exposed at 38/33°C (day/night) or nonstress temperature conditions...
Deep neural networks, while generalize well, are known to be sensitive small adversarial perturbations. This phenomenon poses severe security threat and calls for in-depth investigation of the robustness deep learning models. With emergence networks graph structured data, similar investigations urged understand their robustness. It has been found that adversarially perturbing structure and/or node features may result in a significant degradation model performance. In this work, we show from...
Triglycerides (TGs) in adipocytes provide the major stores of metabolic energy body. Optimal amounts TG are desirable as insufficient capacity to store TG, lipodystrophy, or exceeding for storage, obesity, results disease. We hypothesized that mice lacking storage would result excess cell types other than and severe lipotoxicity accompanied by To test this hypothesis, we selectively deleted both synthesis enzymes, DGAT1 DGAT2, (ADGAT DKO mice). As expected with depleted stores, ADGAT did not...
Amino acid and protein metabolism are interrelated both play important roles in plant adaptation to heat stress. The objective of this study was identify amino acids soluble proteins associated with genetic variation tolerance hard fescue ( Festuca trachyphylla ). According a previous screening experiment, the cultivars Reliant IV Predator were selected as heat-tolerant heat-sensitive cultivars, respectively. Plants these two exposed stress at 38/33 °C (day/night) or optimal temperature...
Recurrent Neural Networks (RNNs) have been widely used in sequence analysis and modeling. However, when processing high-dimensional data, RNNs typically require very large model sizes, thereby bringing a series of deployment challenges. Although various prior works proposed to reduce the RNN executing models resource-restricted environments is still challenging problem. In this paper, we propose develop extremely compact with fully decomposed hierarchical Tucker (FDHT) structure. The HT...
The field of text-to-image generation has made remarkable strides in creating high-fidelity and photorealistic images. As this technology gains popularity, there is a growing concern about its potential security risks. However, been limited exploration into the robustness these models from an adversarial perspective. Existing research primarily focused on untargeted settings, lacks holistic consideration for reliability (attack success rate) stealthiness (imperceptibility). In paper, we...
African indigenous vegetables (AIVs) because of their nutrient density have the unique potential to reduce micronutrient deficiencies in sub-Saharan Africa, yet some may also contain anti-nutritive compounds. Vegetable nightshades from Solanum americanum, nigrum, scabrum and villosum are among major AIVs used as a leafy consumed regularly many countries sub-Sahara Africa. These under-recognized food crops not been subjected extensive studies for nutritional antinutritive factors. In this...
Objectives Raspberry ketone (RK) is the primary aroma compound in red raspberries and a dietary supplement for weight loss. This work aims to 1) compare RK bioavailability male versus female, normal‐weight obese mice; 2) characterize metabolic pathways. Methods Study 1: C57BL/6J female mice fed low‐fat diet (LFD; 10% fat) receive single oral gavage dose of (200 mg kg −1 ). Blood, brain, white adipose tissue (WAT) are collected over 12 h. 2: Male LFD or high‐fat (45% 8 weeks before dosing....
Objectives: Research on recovering COVID-19 patients could be helpful for containing the pandemic and developing vaccines, but we still do not know much about clinical features, recovery process, antibody reactions during period.Methods: We retrospectively analysed epidemiological information, discharge summaries, laboratory results of 324 patients.Results: In all, 15 (8.62%) experienced chest distress/breath shortness, where 8 were severely ill.This means ill need an extended amount time to...
Leaf senescence is accelerated by prolonged exposure to high temperatures in cool-season plants and characterized loss of chlorophyll adjustment amino acid metabolism. The objectives this study included ascertaining how glutamate may affect the tolerance grass species heat stress relation leaf through regulation (Chl) Creeping bentgrass (<i>Agrostis stolonifera</i> L.) were maintained for 35d under optimal growth temperature (22/18 °C, day/night, non-stress control) or (35/30 day/night)...
Consumption safety of Solanum scabrum berries is controversial in different cultural practices and evaluation the toxicity as well micronutrition value relies on relevant phytochemical study. Thus, this study aimed to systematically profile phytochemicals from genetic sources maturity. Using a combination three complementary methods HPLC-UV/Vis-MS or MS/MS with acid-assisted hydrolysis, total 54 were identified including polyphenols, saponins toxic glycoalkaloids. Particularly, broad range...
Nowadays, from companies to academics, researchers across the world are interested in developing Deep Neural Networks (DNNs) due their incredible feats various applications, such as image recognition, playing complex games, and large-scale information retrieval web search. However, when people enjoy advantages of DNNs, high computational power demands on resource-constrained electronic devices DNN model have received more attention. Optimizing model, compression, is crucial ensure wide...
Mitochondria provide essential metabolites and adenosine triphosphate (ATP) for the regulation of energy homeostasis. For instance, liver mitochondria are a vital source gluconeogenic precursors under fasted state. However, regulatory mechanisms at level mitochondrial membrane transport not fully understood. Here, we report that liver-specific inner-membrane carrier SLC25A47 is required hepatic gluconeogenesis Genome-wide association studies found significant associations between fasting...