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Research has suggested a significant prognostic value of ST-T changes in various cardiovascular diseases and malignant tumors. However, their role in predicting prognosis in patients with peripheral T-cell lymphomas (PTCLs) remains unknown. Here, we investigated the prognostic potential of ST-T changes in all-cause mortality of PTCLs patients. In total, 131 patients with PTCLs between January 2015 and April 2020 were enrolled. Univariable and multivariable COX proportional hazards regression models were used to find the relationship between ST-T changes and all-cause mortality in these patients. A significant difference in all-cause mortality was found between patients with ST-T abnormalities and those without definite abnormalities in the ST-T segments (P = 0.027). Multivariable Cox risk regression analysis indicated that patients with ST-T changes had greater all-cause mortality than patients with normal ST-T segments in the intermediate-high/high-risk groups (P < 0.001). In addition, ST-T changes were markedly distinction in patients with hypoproteinemia than in those with no definite abnormalities in the ST-T segments (P = 0.021). ST-T changes may serve as potential, simple, and effective prognostic factors for all-cause mortality in PTCLs patients, especially in the intermediate-high/high-risk and hypoproteinemia groups. Therefore, regular ECG monitoring is recommended to guide the clinical treatment of patients with PTCLs.

Pancreatic cancer (PC) is a highly malignant tumor of the digestive system. Due to the lack of sensitive and effective detection markers, the tumor is usually at a relatively advanced stage in initial diagnosis. Therefore, early detection of PC is crucial for timely treatment and better prognosis. Exosomes are extracellular vesicles secreted by cells. They have a lipid bimolecular membrane structure to ensure the stable existence of a large number of biologically active substances contained therein. So they can accurately reflect the characteristics of parental cells. Exosomes are widely present in various body fluids and can non-invasively, conveniently and real-timely extracted, with the potential to become a marker for early tumor diagnosis. Previous studies have shown that compared with traditional diagnostic methods, exosomes showed higher sensitivity and specificity in the early diagnosis of various cancers. This article reviews the research progress of exosomes in the early diagnosis of pancreatic cancer.

Rhein, a component derived from rhubarb, has been proven to possess anti-inflammatory properties. Here, we show that rhein mitigates obesity by promoting adipose tissue thermogenesis in diet-induced obese mice. We construct a macrophage-adipocyte co-culture system and demonstrate that rhein promotes adipocyte thermogenesis through inhibiting NLRP3 inflammasome activation in macrophages. Moreover, clues from acetylome analysis identify SIRT2 as a potential drug target of rhein. We further verify that rhein directly interacts with SIRT2 and inhibits NLRP3 inflammasome activation in a SIRT2-dependent way. Myeloid knockdown of SIRT2 abrogates adipose tissue thermogenesis and metabolic benefits in obese mice induced by rhein. Together, our findings elucidate that rhein inhibits NLRP3 inflammasome activation in macrophages by regulating SIRT2, and thus promotes white adipose tissue thermogenesis during obesity. These findings uncover the molecular mechanism underlying the anti-inflammatory and anti-obesity effects of rhein, and suggest that rhein may become a potential drug for treating obesity.

C28H31N8O8Co, monoclinic, P21/c (no. 14), a = 14.8071(17) Å, b = 19.676(2) Å, c = 10.8580(13) Å, V = 3066.7(6) Å3, Z = 4, Rgt(F) = 0.0377, wRref(F2) = 0.1228, T = 293(2) K.

Long non-coding RNA forkhead box D2 adjacent opposite strand RNA 1 (FOXD2-AS1) has emerged as a potential oncogene in several tumors. However, its biological function and potential regulatory mechanism in glioma have not been fully investigated to date. In the present study, RT-qPCR was conducted to detect the levels of FOXD2-AS1 and microRNA (miR)-506-5p, and western blot assays were performed to measure the expression of CDK2, cyclinE1, P21, matrix metalloproteinase (MMP)7, MMP9, N-cadherin, E-cadherin and vimentin in glioma cells. A luciferase reporter assay was performed to verify the direct targeting of miR-506-5p by FOXD2-AS1. Subsequently, cell viability was analyzed using the CCK-8 assay. Cell migration and invasion were analyzed using Transwell and wound healing assays, respectively. The results demonstrated that FOXD2-AS1 was significantly overexpressed in glioma cells, particularly in U251 cells. Knockdown of FOXD2-AS1 in glioma cells significantly inhibited cell proliferation, migration, invasion and epithelial–mesenchymal transition (EMT) and regulated the expression of CDK2, cyclinE1, P21, MMP7 and MMP9. Next, a possible mechanism for these results was explored, and it was observed that FOXD2-AS1 binds to and negatively regulates miR-506-5p, which is known to be a tumor-suppressor gene in certain human cancer types. Furthermore, overexpression of miR-506-5p significantly inhibited cell proliferation, migration, invasion and EMT, and these effects could be reversed by transfecting FOXD2-AS1 into the cells. In conclusion, our data suggested that FOXD2-AS1 contributed to glioma proliferation, metastasis and EMT via competitively binding to miR-506-5p. FOXD2-AS1 may be a promising target for therapy in patients with glioma.

This paper takes Suzhou Industrial Park as the research case, collects data through residents' questionnaires, and constructs a structural equation model to explore residents' satisfaction with "healthy house" and its influencing factors, in order to provide reference for better construction of "healthy house".The research draws the following conclusions: 1. Residents' overall satisfaction with the "health cabin" is 70.46%, which is relatively high; 2. The residents are highly satisfied with the blood pressure meter, temperature detector, opening time and frequency of the "Health House", but are less satisfied with the publicity work, lectures and propaganda activities of the "Health House"; 3. Policy factors have a positive impact on hardware environment satisfaction and hardware environment satisfaction; 4. Objective factors have a positive impact on software environment satisfaction and hardware environment satisfaction.

C13H15N9, monoclinic, C2/c (no. 15), a = 22.827(5) Å, b = 7.8830(16) Å, c = 16.020(3) Å, β = 98.95(3)°, V = 2847.6(10) Å3, Z = 8, Rgt(F) = 0.0416, wRref(F2) = 0.1331, T = 293(2) K.

Background The oncological safety of diagnostic hysteroscopy in patients with stage Ⅰ endometrial cancer remains uncertain and conflicting. The aim of the proposed systematic review and meta-analysis is to summarise the available evidence examining the association between diagnostic hysteroscopy and the prognosis of stage Ⅰ endometrial cancer and to statistically synthesise the results of relevant studies.Methods and analysis Systematic searches of PubMed/MEDLINE, Embase, Cochrane Library and Web of Science will be undertaken using prespecified search strategies. Two authors will independently conduct eligible studies selection process, perform data extraction and appraise the quality of included studies. Original case–control studies, cohort studies and randomised controlled trails published in English will be considered for inclusion. The outcomes of interest will be 5-year recurrence-free survival, disease-specific survival and overall survival. Meta-analyses will be performed to calculate pooled estimates.Ethics and dissemination Our study will be based on published data, and thus there is no requirement for ethics approval. The results will be shared through publication in a peer-reviewed journal and presentations at academic conferences.PROSPERO registration number CRD42020193696.

A portable orthogonal phase-locked amplifier for weak signal detection has been developed based on FPGA. First,the signal processing module receives the signal,does variable gain amplification on the signal and puts it through the power frequency noise filtering. The signal is put into the FPGA through A/D conversion module conversion. By the digital phase-locked loop ,the amplifier completes the measured signal phase lock, extracts the feedback signal to calculate the measured signal amplitude, and completes weak signal detection. The lock-in amplifier amplitude measurement range is 100 nV~100 μV, dynamic range can reach up to 60 dB, phase accuracy can attain 0.001°. The system is designed as a portable device, low cost, easy to maintain, can meet the measurement requirements of the special environment such as fieldwork or etc, and has broad application prospects.

The high power transfer case as a key component of a multi-axis super-heavy chassis transmission system,with the characteristics of large torque,high speed,and large temperature difference,rely on splash lubrication and natural air cooling has been unable to meet the need of the chassis for high mobility,high through off-road and extreme ambient temperature. It is necessary to use the forced lubrication system to lubricate the internal hot spots of the transfer case,especially the bearing position. Therefore,the power thermal energy model of the hotspots of the transmission parts is built first,through the heat balance conditions,the flow demand of the lubrication point and the overall are estimated,and then a hydraulic simulation analysis model is established,the matching lubrication system piping is designed. Aiming at the problem of the natural air cooling can’t achieve the system thermal balance requirements in the great power of the transmission system,by calculating the surface wind speed and heat dissipation surface,the heat dissipation capacity of the transfer case itself is evaluated,the external air-cooled radiator and fan are matched according to the heat dissipation requirement.Finally,through the bench and running vehicle test,the design of the high power transfer case forced lubrication system to meet a multi-axis super-heavy chassis of the use of the requirements is verified.

Current works have been focused on the robustness of single network and interdependent networks. However, to be more correct, the dependence of many real systems should be described as unidirectional. To study the structural robustness of networks with unidirectional dependence, the dependent networks named UDN are proposed, the description of the propagation of failures in them is given, as well as the introduction of the attack strategies that the probability of a node being attacked depends on the degree (DP attack) or on the betweenness (BP attack) of this node. The simulated results show that UDN is more vulnerable to BP attack when is first attacked a node with high betweenness. Compared with the Interacting Networks (IN), the UDN is more fragile under the two attack’s strategies.

Optimizing the measurement matrix can improve reconstruction performance in compressed sensing. In this study, we study the measurement matrix optimization method regarding its application to the Two Dictionaries Orthogonal Matching Pursuit (TDOMP) algorithm. The TDOMP is a modified OMP, which uses a matching matrix with low cross-coherence to identify the correct atoms of the sensing matrix. The proposed optimization method is based on alternative projection technique to construct the measurement and matching matrices with low cross-coherence to improve the performance of the TDOMP. Experimental results verify the effectiveness of the proposed method.

The wheel gearbox is a key component of Multi-axis super-heavy hybrid test platform,for the special nature of the application,on the one hand to meet the requirements of vehicle wheel power transmission requirements,while also meet lightweight and high reliability requirements.Therefore,in the wheel gearbox design,taking the lightweight for the wheel gearbox as the target,reliability as constraints,the optimization design scheme of the wheel gearbox is proposed.After the high- speed test,full load fatigue test and overload fatigue test verification,the wheel gearbox performance and reliability meet the requirements of super- heavy hybrid multi- axis test platform.

The traditional comprehensive evaluation is difficult to model when dealing with large data with large parameters and complex structure, and it cannot adapt to the update of data. In order to improve this situation, this paper draws on the Adaptive Learning Adaboost perspective in statistical learning to develop a data-driven integrated evaluation model that updates the weight of sample weights and weak evaluation models with data. Three specific weak evaluation models were selected: data-driven Topsis method, principal component analysis method and factor analysis method. Taking the ranking of WeChat public account as an example, the results show that the accuracy of the integrated evaluation model is 88.57%, which is 17.14%, 31.43% and 28.57% higher than the data-driven Topsis method, principal component method and factor analysis method.

A new round of power system reform will gradually promote the construction of power market in China. In this process, many policies will have an impact on the investment plan management of power grid enterprises. Firstly, this paper analyses the basic framework of China’s new power reform and two key tasks affecting grid investment. Then, the impact of electricity reform policy on investment decision-making of power grid is analyzed, including investment planning objectives, planning principles, planning depth, planning effectiveness and investment management. Finally, the investment plan management strategy of power grid company under the new situation is put forward.