Epstein-Barr virus(EBV), the first human oncovirus discovered in 1964, has become a focal point in virology, immunology, and oncology because of its unique biological characteristics and significant role in human dise...
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Epstein-Barr virus(EBV), the first human oncovirus discovered in 1964, has become a focal point in virology, immunology, and oncology because of its unique biological characteristics and significant role in human diseases. As we commemorate the 60th anniversary of EBV's discovery, it is an opportune moment to reflect on the major advancements in our understanding of this complex virus. In this review, we highlight key milestones in EBV research, including its virion structure and life cycle, interactions with the host immune system, association with EBV-associated diseases, and targeted intervention strategies.
[Objectives]To identify the authenticity of Longgu from the microscopic,infrared spectrum and chemical composition,and provide references for the quality control and evaluation methods of Longgu.[Methods]According to ...
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[Objectives]To identify the authenticity of Longgu from the microscopic,infrared spectrum and chemical composition,and provide references for the quality control and evaluation methods of Longgu.[Methods]According to the mineral characteristics of Longgu,the identification research was carried out by microscope observation,near-infrared spectroscopy and X-ray fluorescence *** comparing the single polarizing and orthogonal polarizing characteristics of genuine and fake Longgu,a qualitative identification model of genuine Longgu was established based on the near-infrared spectrum of genuine Longgu,and the detection results of elements in Longgu were analyzed.[Results]The genuine Longgu had apatite optical properties,and was quite different from the fake Longgu of animal *** with modern animal bones,genuine Longgus had relatively less P and Ca,but they were enriched in elements Sr and *** correlation coefficient model with good predictive ability can be established by using the near-infrared characteristic spectrum.[Conclusions]Polarizing microscope,near-infrared spectroscopy and X-ray fluorescence spectroscopy can improve the identification results of Longgu.
Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)*** on the Hangzhou Birth Cohort Study,1059 parti...
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Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)*** on the Hangzhou Birth Cohort Study,1059 participants were included,and eleven metals in whole blood samples and serum IgA,IgG,IgE and IgM levels were *** regression,quantile-based g-computation(QGC),and Bayesian kernel machine regression(BKMR)models were used to evaluate the *** with the first tertile of metal levels,arsenic(As)was negatively associated with IgE(β=-0.25,95%confidence interval(CI)=-0.48 to-0.02).Moreover,significant associations of manganese(Mn)with IgA,IgG and IgM were demonstrated(β=0.10,95%CI=0.04 to 0.18;β=0.07,95%CI=0.03 to 0.12;β=0.10,95%CI=0.03 to 0.18,respectively).Cadmium(Cd)were associated with higher levels of *** models showed the positive association of the metalmixtures with IgA and IgG,with Mn playing amajor *** and Cd had positive contributions to IgM,while As had negative contributions to *** the BKMR models,the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th ***,exposure to metals was associated with maternal Igs,and mainly showed that Mn was associated with increased levels of IgA,IgG and IgM,and As was associated with low IgE levels.
Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech r...
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Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i
Antimony selenide(Sb_(2)Se_(3))has recently made considerable photovoltaic,advancements in photoelectrochemical,and photodetector research scenarios,owing to its advantageous material merits and superior optoelectroni...
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Antimony selenide(Sb_(2)Se_(3))has recently made considerable photovoltaic,advancements in photoelectrochemical,and photodetector research scenarios,owing to its advantageous material merits and superior optoelectronic *** contrast,the exploration of flexible Sb_(2)Se_(3) photoelectric devices are less attempted,though it possesses unique one-dimensional(1D)crystal structure to enable large deformation ***,we develop a flexible Sb2Ses thin-film photodetector on polyimide *** to the high-quality SbSes light absorber and benign interfaces at both back contact and heterojunction regions,the carrier dynamics are effectively *** leading flexible Sb_(2)Se_(3) photodetector showcases self-powered and broadband features,with exceptional responsivity of 0.51 A·W^(-1) and realistic detectivity up to 1.32×10^(13) Jones,ultra-fast response speed of 49 ns/351 ns of rise and decay times,and remarkable mechanical deformation stability,flourishing the high-level development for flexible Sb_(2)Se_(3) ***,a tunable single/dual-color flexible imaging system under band alignment modulation,along with a wearable and accurate heart rate/arterial blood oxygen saturation photoplethysmography detection system highlights the great application potential for flexible Sb,Ses photodetectors.
Amoenucles A-F(1-6), six previously undescribed nucleoside derivatives, and two known analogs(7 and 8) were isolated from the culture of Aspergillus amoenus TJ507. Their structures were elucidated through spectroscopi...
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Amoenucles A-F(1-6), six previously undescribed nucleoside derivatives, and two known analogs(7 and 8) were isolated from the culture of Aspergillus amoenus TJ507. Their structures were elucidated through spectroscopic analysis, single-crystal X-ray crystallography,and chemical reactions. Notably, 3 and 4 represent the first reported instances of nucleosides with an attached pyrrole moiety. Of particular significance, the absolute configuration of the sugar moiety of 1-4 was determined using nuclear magnetic resonance(NMR), electric circular dichroism(ECD) calculations, and a hydrolysis reaction, presenting a potentially valuable method for confirming nucleoside structures. Furthermore, 1, 2, and 5-8 exhibited potential tumor necrosis factor α(TNF-α) inhibitory activities, which may provide a novel chemical template for the development of agents targeting autoimmune and inflammatory diseases.
Background: Huaier granule is an important medicinal fungus extract widely used in cancer treatment. Previous retrospective studies have reported its effectiveness in breast cancer patients, but the imbalanced baselin...
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Background: Huaier granule is an important medicinal fungus extract widely used in cancer treatment. Previous retrospective studies have reported its effectiveness in breast cancer patients, but the imbalanced baseline characteristics of participants could have biased the results. Therefore, this retrospective study aimed to examine the efficacy of Huaier granule on the prognosis of breast cancer ***: In this single-center cohort study, breast cancer patients diagnosed and treated at the Guangdong Provincial Hospital of Chinese Medicine between 2009 and 2017 were selected. The data were retrospectively analyzed and divided into two groups according to whether the patients received Huaier granules. The propensity score matching (PSM) method was used to eliminate selection bias. The disease-free survival (DFS) and overall survival (OS) for these groups were compared using the Kaplan–Meier method and the Cox ***: This study included 214 early invasive breast cancer patients, 107 in the Huaier group and 107 in the control group. In the Kaplan–Meier analysis, the 2-year and 5-year DFS rates were significantly different in the Huaier group and control group (hazard ratio [HR], 0.495; 95% confidence interval [CI], 0.257–0.953;P = 0.023). The 2-year and 5-year OS rates were also significantly different (HR, 0.308; 95% CI, 0.148–0.644;P = 0.001). On multivariable Cox regression, Huaier granule was associated with improved DFS (HR, 0.440; 95% CI, 0.223–0.868;P = 0.018) and OS (HR, 0.236; 95% CI, 0.103–0.540;P = 0.001).Conclusion: In this retrospective study, Huaier granules improved the DFS and OS of early invasive breast cancer patients, providing real-world evidence for further prospective studies on treating breast cancer with Huaier granules.
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