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506 result(s) for "Zhang, Pengwei"
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HCNet: Multi-Exposure High-Dynamic-Range Reconstruction Network for Coded Aperture Snapshot Spectral Imaging
Coded Aperture Snapshot Spectral Imaging (CASSI) is a rapid hyperspectral imaging technique with broad application prospects. Due to limitations in three-dimensional compressed data acquisition modes and hardware constraints, the compressed measurements output by actual CASSI systems have a finite dynamic range, leading to degraded hyperspectral reconstruction quality. To address this issue, a high-quality hyperspectral reconstruction method based on multi-exposure fusion is proposed. A multi-exposure data acquisition strategy is established to capture low-, medium-, and high-exposure low-dynamic-range (LDR) measurements. A multi-exposure fusion-based high-dynamic-range (HDR) CASSI measurement reconstruction network (HCNet) is designed to reconstruct physically consistent HDR measurement images. Unlike traditional HDR networks for visual enhancement, HCNet employs a multiscale feature fusion architecture and combines local–global convolutional joint attention with residual enhancement mechanisms to efficiently fuse complementary information from multiple exposures. This makes it more suitable for CASSI systems, ensuring high-fidelity reconstruction of hyperspectral data in both spatial and spectral dimensions. A multi-exposure fusion CASSI mathematical model is constructed, and a CASSI experimental system is established. Simulation and real-world experimental results demonstrate that the proposed method significantly improves hyperspectral image reconstruction quality compared to traditional single-exposure strategies, exhibiting high robustness against multi-exposure interval jitters and shot noise in practical systems. Leveraging the higher-dynamic-range target information acquired through multiple exposures, especially in HDR scenes, the method enables reconstruction with enhanced contrast in both bright and dark details and also demonstrates higher spectral correlation, validating the enhancement of CASSI reconstruction and effective measurement capability in HDR scenarios.
Comparative mortality outcomes in metabolic dysfunction-associated steatotic liver disease and nonalcoholic fatty liver disease subtypes in the United States
In 2023, experts from the European and American regions proposed the concepts of steatotic liver disease (SLD) and metabolic dysfunction-associated steatotic liver disease (MASLD). MASLD was proposed as a replacement for nonalcoholic fatty liver disease (NAFLD). We compared the long-term outcomes of patients with MASLD, NAFLD, and various subtypes of SLD. We conducted a retrospective study using the NHANESIII database. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality and cause-specific mortality among patients with subtypes of SLD, MASLD, and NAFLD. During a follow-up period of 31 years (median 25 years), the adjusted risks of all-cause death for patients with MASLD was 1.19 (95% CI 1.06-1.34; P = 0.006) vs. the non-SLD group. There was a moderate level of consistency between MASLD and NAFLD (Cohen's kappa coefficient of 0.62545). Advanced fibrosis was the most serious risk factor for all-cause mortality in MASLD, and high C-reactive protein concentration was the most serious risk factor for all-cause mortality in NAFLD, followed by type 2 diabetes. MASLD is associated with a higher risk of all-cause mortality, and this association is independent of patients' demographic or metabolic characteristics, despite a relatively small hazard ratio. Our research findings further support that MASLD is a pathological disease related to liver disease itself. Therefore, redefining NAFLD as MASLD may help improve our understanding of predictive factors that increase the risk of death.
Human umbilical cord mesenchymal stem cells promoting knee joint chondrogenesis for the treatment of knee osteoarthritis: a systematic review
Purpose The onset of OA is affected by a variety of factors, which eventually lead to the loss of cartilage in the joints, the formation of osteophytes, the loss of normal knee mobility, and pain and discomfort, which seriously affects the quality of life. HUC-MSCs can promote cartilage production and have been widely used in research in the past decade. This article systematically summarizes that it is well used in basic research and clinical studies to promote inflammatory chondrogenesis in the treatment of OA. Provide a theoretical basis for clinical treatment. Patients and methods This study collected CNKI, Wanfang, PubMed, and articles related to the treatment of OA with HUC-MSCs since their publication, excluding non-basic and clinical studies such as reviews and meta-analysis. A total of 31 basic experimental studies and 12 clinical studies were included. Systematically analyze the effects of HUC-MSCs on inhibiting inflammatory factors, promoting chondrocyte production, and current clinical treatment. Results HUC-MSCs can reduce inflammatory factors such as MMP-13, ADAMTS-5, IL-1β, IL-1, IL-6, TNF-α, induced conversion from M1 to M2 in OA to protect cartilage damage and reduce OA inflammation. Synthesize ColII, SOX9, and aggrecan at the same time to promote cartilage synthesis. Conclusion HUC-MSCs not only have typical stem cell biological characteristics, but also have rich sources and convenient material extraction. Compared with stem cells from other sources, HUC-MSCs have stronger proliferation, differentiation, and immune regulation abilities. Furthermore, there are no ethical issues associated with their use. Safety: Primarily attributed to pain, the majority of individuals experience recovery within 24 h following injection. HUC-MSCs possess the ability to alleviate pain, enhance knee joint function, and potentially postpone the need for surgical intervention in both non-surgical and other cases, making them highly deserving of clinical promotion and application.
Strong Nucleating Effect of Si-Containing Tri-Block Oligomers on Poly(Ethylene Terephthalate)
The development of a silane coupling agent with an aminopropyl structure as a nucleating agent for poly(ethylene terephthalate) (PET) is reported in this study. The tri–block oligomers nucleating agent was formed by 1,3-bis(3-aminopropyl)-1,1,3,3-tetramethyldisiloxane/oxalic acid/low molecular weight PET (LPOBD). It was subsequently cross-linked with tetraethyl orthosilicate to form LPOBD-T. Composites of LPOBD/PET and LPOBD-T/PET were prepared by melt blending, and their thermal and crystallization behaviors were analyzed using XRD, DSC, TG, and POM. The results indicated that not only did the triblock polymer nucleating agent LPOBD exhibit a strong nucleation effect, but the crosslinked LPOBD-T also demonstrated superior crystallization performance. Specifically, the crystallinity of the 1 wt% LPOBD-T/PET composite increased by 3.3%, the crystallization temperature rose by 21.1 °C, and the t1/2 was reduced by 53 s. Moreover, the crystalline morphology was more uniform. These findings indicate that the tri-block oligomers synthesized from a silane coupling agent serve as effective nucleating agents for PET.
Spatial–temporal variation and source analysis of heavy metals in different land use types in Beilun District (2015 and 2022)
The soil environment plays an important role in urban ecosystems. To study the heavy metal contamination of soil in Beilun District, Ningbo, we collected soil samples from 60 points in urban and peri-urban areas of Beilun District and analyzed the spatiotemporal variation and sources of heavy metal pollution in various land-use types. The results shown that the heavy metal contents in 2015 and 2022 were higher than the background soil values of Ningbo city, and there was an accumulation of heavy metals over these 7 years. The contents of heavy metals in green belts and woodland in 2022 were higher than those in 2015, while there was no significant change in agricultural land. The heavy metal contents in both years were mainly in the order green belts > agricultural land > woodland. The spatiotemporal distribution of heavy metal content showed that heavy metal pollution in Beilun District was concentrated in five industrial areas, and there was a trend toward the disappearance of highly polluted points. But the single-factor pollution index, pollution load index (PLI), and geoaccumulation index (I geo ) indicated that there was no significant heavy metal pollution in Beilun District, and individual elements at specific points showed slight pollution. The source analysis results showed that the main source of Hg is chemical, As is mainly derived from agricultural, Cr, Ni and Cu are mainly derived from natural, the main sources of Zn and Cd are electroplating and machinery activities, and the main source of Pb is traffic. These results specify a reference for future investigation on urban soil heavy metals, and the source apportionment results provide a scientific foundation for subsequent soil heavy metal pollution treatment.
Revisiting Fragmentation Reactions of Protonated α-Amino Acids by High-Resolution Electrospray Ionization Tandem Mass Spectrometry with Collision-Induced Dissociation
Fragmentation reactions of protonated α-amino acids (AAs) were studied previously using tandem mass spectrometry (MS/MS) of unit mass resolution. Isobaric fragmentation products and minor fragmentation products could have been overlooked or misannotated. In the present study, we examined the fragmentation patterns of 19 AAs using high-resolution electrospray ionization MS/MS (HR-ESI-MS/MS) with collision-induced dissociation (CID). Isobaric fragmentation products from protonated Met and Trp were resolved and identified for the first time. Previously unreported fragmentation products from protonated Met, Cys, Gln, Arg, and Lys were observed. Additionally, the chemical identity of a fragmentation product from protonated Trp that was incorrectly annotated in previous investigations was corrected. All previously unreported fragmentation products and reactions were verified by pseudo MS 3 experiments and/or MS/MS analyses of deuterated AAs. Clearer pictures of the fragmentation reactions for Met, Cys, Trp, Gln, Arg and Lys were obtained in the present study.
5-Fluorouracil combined with CalliSphere drug-eluting beads or conventional transarterial chemoembolization for unresectable hepatocellular carcinoma: a propensity score weighting analysis
This study aimed to assess the effectiveness and safety of 5-Fluorouracil (5-Fu) combined with conventional transarterial chemoembolization (cTACE) compared to 5-Fu combined with drug-eluting bead transarterial chemoembolization (DEB-TACE) using CalliSpheres for the treatment of unresectable hepatocellular carcinoma (HCC) using propensity score weighting methods. This retrospective analysis included 131 patients with HCC treated with 5-Fu combined with cTACE (5-Fu-cTACE group, n = 65) or DEB-TACE (5-Fu-DEB-TACE group, n = 66) at the Affiliated Hospital of North Sichuan Medical College from January 2019 to December 2022. Based on the baseline data and laboratory indicators, propensity score weighting was used to reduce confounding bias. Modified response evaluation criteria in solid tumors (mRECIST) were used to evaluate clinical efficacy. The primary endpoint was progression-free survival (PFS), and the secondary endpoints were the disease control rate (DCR), objective response rate (ORR) and adverse events (AEs). PFS was assessed using Kaplan‒Meier analysis and Cox proportional hazards models. The ORRs at 1 month (M1) after treatment in the 5-Fu-DEB-TACE group and 5-Fu-cTACE group were 90.9% and 76.9%, respectively (P = 0.029), while at this time, the DCRs were 93.9% in the 5-Fu-DEB-TACE group and 90.8% in the 5-Fu-cTACE group (P = 0.494). At 3 months (M3) after treatment, the 5-Fu-DEB-TACE group had a higher ORR (84.8% vs. 56.9%, P < 0.001) and DCR (84.8% vs. 72.3%, P = 0.08). The ORR at 6 months (M6) was also higher in the 5-Fu-DEB-TACE group than in the 5-Fu-cTACE group (72.7% vs. 50.8%, P = 0.01). The median PFS after treatment with 5-Fu-DEB-TACE was longer than that after treatment with 5-Fu-cTACE (11 months vs. 6 months) (P = 0.004). Cox proportional hazards regression analysis indicated that 5-Fu-DEB-TACE (HR = 0.590, P = 0.044), Model for End-Stage Liver Disease (MELD) intermediate risk (HR = 2.470, P = 0.010), BCLC stage B (HR = 2.303, P = 0.036), BCLC stage C (HR = 3.354, P = 0.002) and ascitic fluid (HR = 2.004, P = 0.046) were independent predictors of PFS. No treatment-related deaths occurred in this study. The 5-Fu-DEB-TACE group had a greater incidence of abdominal pain (72.7% vs. 47.7%, P = 0.003). However, the incidence of postoperative elevated transaminase levels was higher in the 5-Fu-cTACE group (83.1% vs. 66.6%, P = 0.031). Subgroups analysis showed patients receiving 5-Fu-DEB-TACE have better PFS compared to those receiving 5-Fu-cTACE in the BCLC stage A group (P = 0.0093), BCLC stage B group (P = 0.0096), multifocal group (P = 0.0056), Child-Pugh stage A group (P<0.001), non- extrahepatic metastasis group (P = 0.022), non-vascular invasion group (P = 0.0093), and the group with a largest tumor diameter ≥ 5 cm (P = 0.0048). At M1, M3, and M6, patients with preserved liver function and in some cases of low tumor burden had higher Objective Response Rate (ORR) and Disease Control Rate (DCR) (P < 0.05). Compared with 5-Fu-cTACE, 5-Fu-DEB-TACE has superior therapeutic efficacy, prolongs PFS, and reduces hepatotoxicity. However, it is associated with an increased incidence of postoperative abdominal pain.
Research on the impact of hospital organizational behavior on physicians'patient-centered care
Objectives This study seeks to examine the impact of hospital organizational behavior on Physicians' Patient-centered care and aims to offer innovative insights and strategies for enhancing the quality of healthcare services. Methods A conceptual model was developed based on organizational behavior theory. Data were collected via questionnaires from 10 large public hospitals in China, encompassing eight independent variables, including hospital organizational culture, change behavior, and motivational behavior, as well as moderating variables like physician title and control variables such as personality traits. SPSS software was used for descriptive statistics, correlation analysis, covariance testing, and multiple linear regression analysis. Results (1) The study of the 10 large public hospitals revealed a coexistence of four types of organizational cultures. Support-oriented and innovation-oriented cultures were dominant, followed by rule-oriented cultures, while goal-oriented cultures scored relatively low. Additionally, these hospitals showed effective organizational change behaviors in technology and resource optimization, as well as inter-professional teamwork. Incentives related to employee welfare systems and development programs also demonstrated high implementation effectiveness. (2) Supportive and innovation-oriented hospital cultures positively influence Physicians' Patient-centered care, while goal-oriented cultures negatively impact Physicians' Patient-centered care. (3) In public hospitals, organizational change behaviors such as technology and resource optimization, along with inter-professional teamwork, positively influence Physicians' Patient-centered care. Additionally, organizational incentives like employee welfare systems and training programs enhance Physicians' Patient-centered care. (4) The moderating variable of physician title negatively affects the relationship between the employee welfare system and Physicians' Patient-centered care, as well as the relationship between the staff development program and Physicians' Patient-centered care. Conclusions Hospital organizational behavior significantly impacts Physicians’ Patient-centered care. Supportive and innovative cultures, effective change behaviors, and incentives enhance Physicians’ Patient-centered care. Addressing limited resources and high demand is essential for optimizing healthcare service quality.
Synthesis of Polyethylene Terephthalate (PET) with High Crystallization and Mechanical Properties via Functionalized Graphene Oxide as Nucleation Agent
In this work, a novel functionalized graphene oxide nucleating agent (GITP) was successfully synthesized using a silane coupling agent (IPTES), and polymer block (ITP) to efficiently improve the crystallization and mechanical performance of PET. To comprehensively investigate the effect of functionalized GO on PET properties, PET/GITP nanocomposites were prepared by introducing GITP into the PET matrix using the melt blending method. The results indicate that PET/GITP exhibits better thermal stability and crystallization properties compared with pure PET, increasing the melting temperature from 244.1 °C to 257.1 °C as well as reducing its crystallization half-time from 595 s to 201 s. Moreover, the crystallization temperature of PET/GITP nanocomposites was increased from 185.1 °C to 207.5 °C and the tensile strength was increased from 50.69 MPa to 66.8 MPa. This study provides an effective strategy for functionalized GO as a nucleating agent with which to improve the crystalline and mechanical properties of PET polyester.
A sleep staging model based on adversarial domain generalized residual attention network
To solve the problem of poor generalization ability of the model on unknown data and the difference of physiological signals between different subjects. A sleep staging model based on Adversarial Domain Generalized Residual Attention Network (ADG-RANet) is designed. The model is divided into three parts: feature extractor, domain discriminator and label classifier. In the feature extractor part, the channel attention network is combined with the residual block to selectively enhance the important features and the correlation between multi-channel physiological signals. Inspired by the idea of U-shaped network, the details and context information in the input data are effectively captured through up-sampling and skip connection operations. The Bi-GRU network is used to further extract the deep temporal features. A Gradient Reversal Layer (GRL) is introduced between the domain discriminator and the feature extractor to promote the feature extractor to obtain the invariant features between different subjects through the adversarial training process. The label classifier uses the deep features learned by the feature extractor to perform sleep staging. According to the AASM sleep staging criterion, the five-classification accuracy of the model on the ISRUC-S3 dataset was 82.51%, the m-F1 score was 0.8100, and the Kappa coefficient was 0.7748. By observing the test results of each fold and comparing with the benchmark model, it is verified that the proposed model has better generalization on unknown data.