A5082317295- Privacy-Preserving Technologies in Data
- Microbial Natural Products and Biosynthesis
- Cryptography and Data Security
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Chemical Synthesis and Analysis
- Retinal Imaging and Analysis
- Medical Image Segmentation Techniques
- Face recognition and analysis
- Image and Signal Denoising Methods
- Biochemical and Structural Characterization
- Video Surveillance and Tracking Methods
- Retinal Diseases and Treatments
- Advanced Image Processing Techniques
- Adversarial Robustness in Machine Learning
- Digital Imaging for Blood Diseases
- Multimodal Machine Learning Applications
- Antimicrobial Peptides and Activities
- Generative Adversarial Networks and Image Synthesis
- Synthetic Organic Chemistry Methods
- Probiotics and Fermented Foods
- Hand Gesture Recognition Systems
- Advanced Vision and Imaging
- Stochastic Gradient Optimization Techniques
- Bioactive Compounds and Antitumor Agents
Shandong Academy of Agricultural Sciences
2025
Institute of Plant Protection
2025
Shandong Agricultural University
2025
Durham University
2023-2025
First Affiliated Hospital of Fujian Medical University
2024
Fujian Medical University
2024
Bristol-Myers Squibb (United States)
2024
Beijing Institute of Technology
2024
Zibo Vocational Institute
2024
Swansea University
2013-2023
Data privacy has become an increasingly important issue in Machine Learning (ML) , where many approaches have been developed to tackle this challenge, e.g., cryptography ( Homomorphic Encryption (HE) Differential Privacy (DP) ) and collaborative training (Secure Multi-Party Computation (MPC) Distributed Learning, Federated (FL) ). These techniques a particular focus on data encryption or secure local computation. They transfer the intermediate information third party compute final result....
Federated Learning (FL) has emerged as a powerful paradigm for training Machine (ML), particularly Deep (DL) models on multiple devices or servers while maintaining data localized at owners' sites. Without centralizing data, FL holds promise scenarios where integrity, privacy and security are critical. However, this decentralized process also opens up new avenues opponents to launch unique attacks, it been becoming an urgent need understand the vulnerabilities corresponding defense...
To find the right conditions to isolate natively expressed antimicrobial peptides from a wide range of different microorganisms can be challenge. Here, we exploited heterologous expression system produce and characterize several novel lantibiotics. We identified 54 putative class I II lantibiotics after inspecting all publicly available prokaryotic genomes using in-house developed mining tool BAGEL3. The genes encoding these new fused nisin leader peptide gene sequence were synthesized,...
Abstract Image‐based noninvasive fractional flow reserve (FFR) is an emergent approach to determine the functional relevance of coronary stenoses. The present work aimed feasibility using a method based on computed tomography angiography (CCTA) and reduced‐order models (0D‐1D) for evaluation methodology (cFFR RO ) was kept as simple possible did not include pressure drop or stenosis models. geometry definition incorporated into physical model used solve pressure. cFFRRO assessed virtual...
Lantibiotics are ribosomally produced and posttranslationally modified peptides containing several lanthionine residues. They exhibit substantial antimicrobial activity against Gram-positive bacteria, including relevant pathogens. The production of the model lantibiotic nisin minimally requires expression modification export machinery. last step during maturation is cleavage leader peptide. This liberates active compound catalyzed by cell wall-anchored protease NisP. Here, we report...
Hygrocins are naphthoquinone ansamycins with significant antitumor activities. Here, we report the identification and characterization of hygrocin biosynthetic gene cluster (hgc) in Streptomyces sp. LZ35. A pathway is proposed based on bioinformatics analysis hgc genes intermediates accumulated selected disruption mutants. One steps during biosynthesis hygrocins a Baeyer–Villiger oxidation between C5 C6, catalyzed by luciferase- like monooxygenase homologue Hgc3. Hgc3 represents founding...
Six hygrocins, polyketides of ansamycin class, were isolated from the gdmAI-disrupted Streptomyces sp. LZ35. The planar structure hygrocins C–E (1–3) was determined by one-dimensional and two-dimensional NMR spectroscopy high-resolution mass spectrometry. They are derivatives hygrocin A but differ in configuration at C-2 orientation C-3,4 double bond. Hygrocin F(4) G(5) shown to be isomers C (1) B (6), respectively, due different alkyl oxygen participating macrolide ester linkage. Hygrocins...
In this paper, we propose a clustering approach embedded in deep convolutional auto-encoder (DCAE). contrast to conventional approaches, our method simultaneously learns feature representations and cluster assignments through DCAEs. DCAEs have been effective image processing as it fully utilizes the properties of neural networks. Our consists reconstruction objective functions. All data points are assigned their new corresponding centers during optimization, after that, iteratively updated...
BACKGROUND: Adynamic bone disease (ABD) has been described in the current dialysis population to have an unexpectedly high prevalence. Moreover, it is clearly more prevalent CAPD patients, compared haemodialysis patients. Recently we demonstrated that both a low (< or = 27 U/1) level of alkaline phosphatase (BAP) as determined by optimized agarose gel electrophoretic technique and 150 pg/ml ) iPTH are good markers ABD with sensitivities 78.1% 80.6% specificities 86.4% 76.2% respectively....
With increasing concerns over data privacy and model copyrights, especially in the context of collaborations between AI service providers owners, an innovative Sentinel-Guided Zero-Shot Learning (SG-ZSL) paradigm is proposed this work. SG-ZSL designed to foster efficient collaboration without need exchange models or sensitive data. It consists a teacher model, student generator that links both entities. The serves as sentinel on behalf owner, replacing real data, guide at provider's end...
Abstract Image restoration poses a significant challenge, aiming to accurately recover damaged images by delving into their inherent characteristics. Various models and algorithms have been explored researchers address different types of image distortions, including sparse representation, grouped low‐rank self‐representation. The representation algorithm leverages the prior knowledge non‐local self‐similarity imposes sparsity constraints maintain texture information within images. To further...
Abstract Spodoptera frugiperda (Lepidoptera: Noctuidae) is a serious invasive pest, which has attracted concern regarding the effectiveness of environmental bioinsecticide as substitution for synthetic insecticide in controlling its damage to numerous agricultural crops recent years. Hence, laboratory and field experiments have investigated insecticidal toxicity S. by 5 insecticides determined activity acetylcholinesterase (AChE) detoxifying enzymes, namely mixed function oxidase (MFO),...
Labeling large amounts of medical data is travailing, leading to the blooming few-shot image segmentation, which aims segment foreground a query given labeled support set. Almost all current models adopt cosine distance measure similarity between prototypes and features. However, limitation exacerbated by intra-class differences inter-class imbalances in scenarios, where angle-only evaluation can induce misclassification under- over-segmentation. Motivated this, we propose High-Confidence...
ABSTRACT Double cropping in cotton fields is a prominent agricultural practice the Yellow River basin, enhancing yields and overall production benefits. However, there limited research on agronomic performance long‐term ecological sustainability of cotton‐based systems. This study evaluates service functions various systems, focusing crop productivity security. Field experiments were conducted to examine dynamics insect pest natural enemy populations, soil nutrients, investment, economic...