366 research outputs found

    Investigation of Methane and Nitrous Oxide Greenhouse Gases Emissions on Wastewater Treatment Plant

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    Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

    A Comprehensive Analysis of Fermi Gamma-Ray Burst Data. IV. Spectral Lag and its Relation to E p Evolution

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    The spectral evolution and spectral lag behavior of 92 bright pulses from 84 gamma-ray bursts observed by the Fermi Gamma-ray Burst Monitor (GBM) telescope are studied. These pulses can be classified into hard-to-soft pulses (H2S; 64/92), H2S-dominated-tracking pulses (21/92), and other tracking pulses (7/92). We focus on the relationship between spectral evolution and spectral lags of H2S and H2S-dominated-tracking pulses. The main trend of spectral evolution (lag behavior) is estimated with ( ), where E p is the peak photon energy in the radiation spectrum, t + t 0 is the observer time relative to the beginning of pulse −t 0, and is the spectral lag of photons with energy E with respect to the energy band 8–25 keV. For H2S and H2S-dominated-tracking pulses, a weak correlation between and k E is found, where W is the pulse width. We also study the spectral lag behavior with peak time of pulses for 30 well-shaped pulses and estimate the main trend of the spectral lag behavior with . It is found that is correlated with k E . We perform simulations under a phenomenological model of spectral evolution, and find that these correlations are reproduced. We then conclude that spectral lags are closely related to spectral evolution within the pulse. The most natural explanation of these observations is that the emission is from the electrons in the same fluid unit at an emission site moving away from the central engine, as expected in the models invoking magnetic dissipation in a moderately high-σ outflow

    A comprehensive analysis of Fermi Gamma-Ray Burst Data: IV. Spectral lag and Its Relation to Ep Evolution

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    The spectral evolution and spectral lag behavior of 92 bright pulses from 84 gamma-ray bursts (GRBs) observed by the Fermi GBM telescope are studied. These pulses can be classified into hard-to-soft pulses (H2S, 64/92), H2S-dominated-tracking pulses (21/92), and other tracking pulses (7/92). We focus on the relationship between spectral evolution and spectral lags of H2S and H2S-dominated-tracking pulses. %in hard-to-soft pulses (H2S, 64/92) and H2S-dominating-tracking (21/92) pulses. The main trend of spectral evolution (lag behavior) is estimated with logEpkElog(t+t0)\log E_p\propto k_E\log(t+t_0) (τ^kτ^logE{\hat{\tau}} \propto k_{\hat{\tau}}\log E), where EpE_p is the peak photon energy in the radiation spectrum, t+t0t+t_0 is the observer time relative to the beginning of pulse t0-t_0, and τ^{\hat{\tau}} is the spectral lag of photons with energy EE with respect to the energy band 88-2525 keV. For H2S and H2S-dominated-tracking pulses, a weak correlation between kτ^/Wk_{{\hat{\tau}}}/W and kEk_E is found, where WW is the pulse width. We also study the spectral lag behavior with peak time tpEt_{\rm p_E} of pulses for 30 well-shaped pulses and estimate the main trend of the spectral lag behavior with logtpEktplogE\log t_{\rm p_E}\propto k_{t_p}\log E. It is found that ktpk_{t_p} is correlated with kEk_E. We perform simulations under a phenomenological model of spectral evolution, and find that these correlations are reproduced. We then conclude that spectral lags are closely related to spectral evolution within the pulse. The most natural explanation of these observations is that the emission is from the electrons in the same fluid unit at an emission site moving away from the central engine, as expected in the models invoking magnetic dissipation in a moderately-high-σ\sigma outflow.Comment: 58 pages, 11 figures, 3 tables. ApJ in pres

    胃转流术在肥胖合并2型糖尿病中临床应用

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    Objective:To explore the stomach turn flow operation application of sugar in obesity type 2 diseases. Methods:A retrospective analysis of 8 cases of stomach turn flow merger cases of type 2 diabetes treatment of obesity. Results:Postoperative blood glucose in patients with complete response rate was 87.5% in 1 year follow-up, all patients with postoperative blood glucose were significantly improved, only 1 case still need to drug control, the total effective rate was 100%. Conclusion:For the treatment of stomach turn flow with obesity with type 2 diabetes. 目的  探讨胃转流手术在肥胖合并2型糖病中的应用。方法 回顾性分析8例胃转流术治疗肥胖合并2型糖尿病病例。结果 术后1年内随访患者血糖完全缓解率达87.5%,所有患者术后血糖均明显好转,仅1例仍需药物控制,总的有效率为100%。结论  胃转流术治疗肥胖合并2型糖尿病有效。

    Understanding the Mechanism of Deep Learning Frameworks in Lesion Detection for Pathological Images with Breast Cancer

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    With the advances of scanning sensors and deep learning algorithms, computational pathology has drawn much attention in recent years and started to play an important role in the clinical workflow. Computer-aided detection (CADe) systems have been developed to assist pathologists in slide assessment, increasing diagnosis efficiency and reducing misdetections. In this study, we conducted four experiments to demonstrate that the features learned by deep learning models are interpretable from a pathological perspective. In addition, classifiers such as the support vector machine (SVM) and random forests (RF) were used in experiments to replace the fully connected layers and decompose the end-to-end framework, verifying the validity of feature extraction in the convolutional layers. The experimental results reveal that the features learned from the convolutional layers work as morphological descriptors for specific cells or tissues, in agreement with the diagnostic rules in practice. Most of the properties learned by the deep learning models summarized detection rules that agree with those of experienced pathologists. The interpretability of deep features from a clinical viewpoint not only enhances the reliability of AI systems, enabling them to gain acceptance from medical experts, but also facilitates the development of deep learning frameworks for different tasks in pathological analytics

    Hyperglycemia induces apoptosis of pancreatic islet endothelial cells via reactive nitrogen species-mediated Jun N-terminal kinase activation

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    AbstractHyperglycemia significantly stimulates pancreatic islet endothelial cell apoptosis; however, the precise mechanisms are not fully understood. In the present study, treating pancreatic islet endothelial (MS-1) cells with high glucose (30mmol/l) but not mannitol significantly increased the number of apoptotic cells as compared with a physiological glucose concentration (5.5mmol/l). Hyperglycemia significantly stimulated the expression of inducible nitric oxide synthase (iNOS) and production of NO and peroxynitrite (ONOO−), relevant to MS-1 cell apoptosis. Moreover, induced reactive nitrogen species (RNS) significantly increased the expression of bax, cleaved caspase-3 and poly adenosine diphosphate (ADP)-ribose polymerase (PARP) via JNK activation, but the expression of bcl-2 was not altered. Furthermore, SP600125 (a specific inhibitor of JNK) and 1400W (a specific inhibitor of iNOS) significantly attenuated cell apoptosis induced by high glucose. Therefore, hyperglycemia triggers MS-1 cell apoptosis by activating an intrinsic-dependent apoptotic pathway via RNS-mediated JNK activation
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