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Articles by Zhenyi Wang
Neo-BCV induces macrophage-associated immunometabolic remodeling and anti-tumor immunity in solid tumors
Abstract Immunotherapy targeting the PD-1/PD-L1 axis has transformed cancer treatment; however, limited response rates and therapeutic resistance remain major challenges. Here, we developed a novel multi-component inactivated bacterial complex vaccine (Neo-BCV) to enhance anti-tumor efficacy by reprogramming innate immune responses.
Transfer learning-based SOH estimation from partial charging data with polarization-aware modeling
Abstract Accurate state-of-health (SOH) estimation from incomplete charging data remains difficult when batteries are operated under variable charging protocols and when the prior polarization history is unknown. Many existing data-driven methods either rely on handcrafted health indicators or assume relatively fixed sampling conditions, which limits their robustness when charging segments differ in location, duration, and current profile.
Enhanced Combustion Characteristics of Low-Calorific-Value Gas in a Compact Double-Layer Silicon Carbide Porous Media Burner
ABSTRACT Porous media combustion (PMC) is recognized as an effective approach for the utilization of low-calorific-value gas (LCVG) owing to its high thermal efficiency and low pollutant emissions. However, conventional porous media burners often exhibit limited flame stability under low heat-load and fuel-lean conditions. In this study, a compact and efficient porous media burner based on silicon carbide (SiC) foam ceramics was developed to enhance combustion stability and thermal performance.
Exploratory pilot study of minimally invasive therapy: laser ablation combined with acellular dermal matrix implantation for recurrent sacrococcygeal pilonidal disease
Abstract Purpose: Recurrent sacrococcygeal pilonidal disease (SPD) poses significant therapeutic challenges. Recently, minimally invasive techniques, notably laser ablation, have emerged as promising alternatives to conventional surgery. Concurrently, the application of acellular dermal matrix (ADM) has shown potential in facilitating wound healing and tissue regeneration.
DCAF12 Ubiquitin Ligase Promotes Lung Cancer Metastasis by Modulating the TRiC/CCT Chaperonin Complex (Adv. Sci. 3/2026)
Graphical Abstract Lung Cancer Metastasis This cover illustrates the molecular cascade driving lung cancer metastasis. DCAF12 (top left), depicted as a master regulator, emits silver ubiquitin signals that direct the assembly of free TRiC/CCT subunits into a central protein-folding machine.
Targeting the Gut Microbiota with Herbal Compounds from Traditional Chinese Medicine: A Mechanistic Synthesis of a Novel Therapeutic Approach for Ulcerative Colitis
Back to Journals » Journal of Inflammation Research » Volume 19 Review Gastrointestinal Inflammation Authors Chen J , Chen J , Wang Z Received 22 December 2025 Accepted for publication 26 May 2026 Published 29 June 2026 Volume 2026:19 590456 DOI https://doi.org/10.2147/JIR.S590456 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 4 Editor who approved publication: Dr Syed Adeel Hassan Junyi Chen,1,* Jiaxu Chen,2,* Zhenyi Wang1 1Department of...
DCAF12 Ubiquitin Ligase Promotes Lung Cancer Metastasis by Modulating the TRiC/CCT Chaperonin Complex
1 Introduction Metastasis accounts for the majority of cancer-related deaths, with non-small cell lung cancer (NSCLC) representing a particularly aggressive form of disseminated disease.[1, 2] Although immune checkpoint inhibitors (e.g., anti-PD-1/PD-L1 therapy) and targeted therapies have expanded treatment options, metastatic NSCLC maintains a poor 5-year survival rate of <10%,[2, 3] underscoring the need to identify the novel drivers of metastasis.
The Effects of Algorithm Visualisation on Elementary School Students' Algorithm‐Learning Performance, Motivation, and Behaviour
Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
Single‐cell multi‐omics deciphers hepatocyte dedifferentiation and illuminates maintenance strategies
1 INTRODUCTION Primary hepatocytes are the major cell type of the liver and perform a multitude of physiological functions, including albumin secretion, glycogen storage, drug metabolism and detoxification. However, the limited availability and variability between batches of human liver samples constrained their widespread application, so animal hepatocytes emerge as a viable alternative.
Innovating cancer drug discovery with refined phenotypic screens
Highlights Phenotypic screens still produce novel drug discoveries, even though the emergence of the finer molecular details of cancer favors target-focused approaches. Recent efforts to improve the design and power of phenotypic screens have addressed the persistent shortcomings of target-focused discovery, such as those related to heterogeneity, resistance, or redundancy.
Geochronology and geochemistry of granitoids from northern Alxa, northwest China: Petrogenesis and tectonic implications
CONFLICT OF INTEREST STATEMENT The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Supporting Information Filename Description iar12525-sup-0001-TextS1.docxWord 2007 document , 21.9 KB Supplementary Text S1: Description of Analytical methods for whole-rock geochemical, zircon U–Pb, zircon Lu-Hf, and whole-rock Sr-Nd isotopic analyses.
Fast Coding Unit Partitioning Algorithm for Video Coding Standard Based on Block Segmentation and Block Connection Structure and CNN
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Relationship between acute kidney injury in sepsis patients
Zhenyi Wang, Shimin Dong, Yanjun Qin Department of Emergency, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, People’s Republic of China Correspondence: Yanjun Qin; Shimin Dong, Department of Emergency, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 05000, People’s Republic of China, Email [email protected]; [email protected] Purpose: The aim of this study was to investigate the relationship between ARF and coagulopathy in patients...
Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis
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Gut Microbiota Combined with Metabolomics Reveal the Mechanisms of Sika Deer Antler Protein on Cisplatin-Induced Hepatorenal Injury in Mice
4.2. Methods 4.2.1. Extraction and Separation of Sika Deer Antler Protein For protein separation, the Soxhlet reflux extraction method was used. The solid-to-liquid ratio was 1:10. Ethyl ether and 95% ethanol were used to degrease the samples for 3 h. Then, three reflux extractions with 35% ethanol were carried out over 2 h, and the filtrates were merged. The concentration of alcohol was adjusted to 80% (v/v), and the solution was kept at 4 °C overnight.
Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks
1.2. Motivations Although the above efforts have achieved effective computation offloading in OEC, there still remain some problems. Role of satellites: in most studies, satellites still mainly play the role as communication relays and the computing capabilities of satellites carrying edge servers are often overlooked, which ignores the potential benefits of in-orbit computing [3,].
A Family of Automatic Modulation Classification Models Based on Domain Knowledge for Various Platforms
4. Discussion Q: “Data augmentation can significantly improve the performance of deep learning models, so is data augmentation enough for AMC tasks?” From existing research, the gains from data augmentation for deep learning models are significant, especially when the data size is small and the categories are uneven. We can see this from recent work on this topic [28,31]. However, data augmentation does not solve all the problems in the AMC task.
Prediction of Grade Classification of Rock Burst Based on PCA-SSA-PNN Architecture
The uncertainty and complexity of rock burst brings great difficulties to the prediction of rock burst grades. In order to estimate the risk grades of rock burst, an integrated method combining principal component analysis (PCA) and sparrow search algorithm (SSA) with probabilistic neural network (PNN) was proposed.
An Efficient Data Augmentation Method for Automatic Modulation Recognition from Low-Data Imbalanced-Class Regime
4.7. Ablation Study We use the RandAugment [39] ablation experiment methodology to validate the contribution of each transformation to the SigAugment. Table 6 shows the results. When a specific transformation is added to the transformation set, the average difference in test accuracy increases. SE-MSFN models were trained on the 2016A-10, 2016A-10a, 2016A-10b, 2016A-20, and 2016A-50 datasets with SigAugment-R for ablation study.
Deep-Learning-Based Carrier Frequency Offset Estimation and Its Cross-Evaluation in Multiple-Channel Models
Abstract : The most widely used Wi-Fi wireless communication system, which is based on OFDM, is currently developing quickly. The receiver must, however, accurately estimate the carrier frequency offset between the transmitter and the receiver due to the characteristics of the OFDM system that make it sensitive to carrier frequency offset. The autocorrelation of training symbols is typically used by the conventional algorithm to estimate the carrier frequency offset.
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