A5001994497- Privacy-Preserving Technologies in Data
- Catalysis for Biomass Conversion
- Catalysis and Hydrodesulfurization Studies
- Thermochemical Biomass Conversion Processes
- Mobile Crowdsensing and Crowdsourcing
- Biofuel production and bioconversion
- Catalysts for Methane Reforming
- Microgrid Control and Optimization
- Biodiesel Production and Applications
- Grey System Theory Applications
- Cryptography and Data Security
- Integrated Energy Systems Optimization
- Stochastic Gradient Optimization Techniques
- Lignin and Wood Chemistry
- Adversarial Robustness in Machine Learning
- Virus-based gene therapy research
- Privacy, Security, and Data Protection
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Renal cell carcinoma treatment
- Energy Load and Power Forecasting
- Cancer Research and Treatments
- High-Voltage Power Transmission Systems
- Renal and related cancers
- Power Line Inspection Robots
- Optimal Power Flow Distribution
Renmin University of China
2021-2024
Southern University of Science and Technology
2023-2024
Jinan University
2024
University of Science and Technology of China
2015-2019
Chinese Academy of Sciences
2015-2019
CAS Key Laboratory of Urban Pollutant Conversion
2016-2019
Fudan University
2015-2016
Shanghai Children's Medical Center
2015
Shanghai Jiao Tong University
2015
Central South University
2015
Wnt/β-catenin signaling has an important role in the angiogenic activity of endothelial cells (ECs). Bach1 is a transcription factor and expressed ECs, but whether regulates angiogenesis unknown. This study evaluated signaling. Hind-limb ischemia was surgically induced Bach1(-/-) mice their wild-type littermates C57BL/6J treated with adenoviruses coding for or GFP. Lack expression associated significant increases perfusion vascular density proangiogenic cytokines ischemic hindlimb mice,...
Acute intensive insulin therapy causes a transient worsening of diabetic retinopathy in type 1 diabetes patients and is related to VEGF expression. Reactive oxygen species (ROS) have been shown be involved HIF-1α expression induced by insulin, but the role specific ROS sources has not fully elucidated. In this study we examined NADPH oxidase subunit 4 (Nox4) insulin-stimulated expression, angiogenic responses human microvascular endothelial cells (HMVECs). Here demonstrate that knockdown...
Data-driven machine learning has become ubiquitous. A marketplace for models connects data owners and model buyers, can dramatically facilitate data-driven applications. In this paper, we take a formal perspective propose the first en<u> D </u>-to-end mod <u>e</u> l m <u>a</u> rketp <u>l</u> ace with diff rential p <u>r</u> ivacy ( Dealer ) towards answering following questions: How to formulate owners' compensation functions...
The transcription factor BTB and CNC homology 1 (Bach1) regulates genes involved in the oxidative stress response cell‐cycle progression. We have recently shown that Bach1 impairs cell proliferation promotes apoptosis cultured endothelial cells (ECs), but underlying mechanisms are largely uncharacterized. Here we demonstrate upregulation impaired blood flow recovery from hindlimb ischemia this effect was accompanied both by increases reactive oxygen species (ROS) cleaved caspase 3 levels...
Federated Learning (FL) is a promising framework for multiple clients to learn joint model without directly sharing the data. In addition high utility of model, rigorous privacy protection data and communication efficiency are important design goals. Many existing efforts achieve by ensuring differential intermediate parameters, however, they assume uniform parameter all clients. practice, different may have requirements due varying policies or preferences. this paper, we focus on explicitly...
Machine unlearning is an emerging task of removing the influence selected training datapoints from a trained model upon data deletion requests, which echoes widely enforced regulations mandating Right to be Forgotten. Many methods have been proposed recently, achieving significant efficiency gains over naive baseline retraining scratch. However, existing focus exclusively on standard models and do not apply adversarial (ATMs) despite their popularity as effective defenses against examples....
Abstract BACKGROUND p ‐Xylene is an important bulk chemical in the petrochemical industry, and production of bio‐based ‐xylene great significance both academic industrial arenas. However, biggest challenge for from biomass how to increase yield selectivity ‐xylene. RESULTS The highest 20.7 C‐mol% with a ‐xylene/xylenes ratio 91.6% was obtained by co‐catalytic pyrolysis sawdust 50 wt% methanol over 20%La 2 O 3 /HZSM‐5(80) catalyst. Adding La, Mg, Ce or Zn element into HZSM‐5 promoted...
Abstract A route for directional conversion of bio‐oil into phenol by means coupling the catalytic cracking with hydroxylation bio‐oil‐based benzene‐rich aromatics is proposed. High selectivity in resulting organic liquid was achieved, an almost complete bio‐oil. Co‐cracking methanol over a Zn‐modified zeolite significantly enhanced yields and decreased deactivation catalyst during The yield depended on metal oxide catalysts, temperature, reaction time aromatics. pathway converting...
Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the of client-side data protecting clients' contributions during training process. Existing solutions typically assume uniform budget for all records and provide one-size-fits-all that may not be adequate meet each record's requirement. In this paper, we explore uncharted territory cross-silo FL with record-level personalized privacy. We devise novel framework namedrPDP-FL,...
Data-driven machine learning (ML) has witnessed great success across a variety of application domains. Since ML model training relies on large amount data, there is growing demand for high-quality data to be collected training. Data markets can employed significantly facilitate collection. In this work, we demonstrate Dealer, an en <u>D</u> -to-end mod<u>e</u>l m <u>a</u> rketp <u>l</u> ace with diff <u>e</u> rential p...
We report the case of a 51-year-old woman who was initially hospitalized in respiratory department with cough and fever. Urinary computed tomography (CT) showed two different incidental masses right kidney. The patient underwent radical nephrectomy without lymph node dissection postoperative adjuvant treatment. pathological examination surgical specimens collision tumor composed clear cell renal carcinoma (CCRCC) papillary (CCPRCT). To best our knowledge, this is first such reported to date....
In recent years, production of engine fuels and energy from biomass has drawn much interest. this work, we conducted a novel integrated process for the preparation bio-hydrogen bio-fuels using lignocellulosic pyrolysis-oil (bio-oil). The includes (i) or bio-syngas by catalytic cracking bio-oil, (ii) adjustment bio-syngas, (iii) olefinic polymerization (OP) together with Fischer-Tropsch synthesis (FTS). Under optimal conditions, yield was 120.9 g H2/(kg bio-oil). hydrocarbon reached 526.1...
Abstract Load forecasting is an important part of system planning. In this paper, the medium - and long-term load method studied, grey prediction selected as method. Through establishment model posterior difference to test accuracy model, gray for presented, feasibility verified by example.
The meteoric rise of cross-silo Federated Learning (FL) is due to its ability mitigate data breaches during collaborative training. To further provide rigorous privacy protection with consideration the varying requirements across different clients, a privacy-enhanced line work on personalized differentially private federated learning (PDP-FL) has been proposed. However, existing solution for PDP-FL [20] assumes raw budgets all clients should be collected by server. These values are then...
The continual growth in transportation fuels and more strict environmental legislations have led to immense interest developing green biomass energy. In this work, a proposed catalytic transformation of oxygenated organic compounds (related bio-oil) into pure hydrogen was desighed, involving the reforming hydrogen-rich mixture gas followed by conversion CO CO2 via water reaction removal CO2. optimization different catalyst, conditions as well various sources were investigated detail....
Federated learning enhanced by differential privacy has emerged as a popular approach to better safeguard the of client-side data protecting clients' contributions during training process. Existing solutions typically assume uniform budget for all records and provide one-size-fits-all that may not be adequate meet each record's requirement. In this paper, we explore uncharted territory cross-silo FL with record-level personalized privacy. We devise novel framework named rPDP-FL, employing...
Abstract Background Collision tumor refers to a special type of in which two or more tumors different origin occur the same tissue organ. There are few reports about primary renal collision tumor. We report case composed clear cell carcinoma (CCRCC) and papillary (CCPRCT). Case presentation A 51-year-old woman who was initially hospitalized respiratory department because cough fever. Urinary computed tomography (CT) showed incidental masses right kidney. The patient underwent radical...
Abstract Load forecasting plays a particularly significant role in the stable operation of grid and reasonable distribution power resources. Based on grey model theory, this paper carries out load forecast system. In paper, theory is used to realize medium long-term forecasting, accuracy tested by using posterior difference method. Finally, an example given check method’s practicability.