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Due to its unique optical and electrical properties, p-type metal oxide materials stannous oxide has been favored by more and more people in various fields such as catalysis, sensing and optoelectronic devices.This paper focuses on the research and application of stannous oxide in thin film transistors. As a core component of display driver panels, thin film transistors play an important role in the display.The research progress of p-type stannous oxide thin film transistors was summarized in this paper, which includes the analysis of the microcosmic properties of stannous oxide, the preparation of stannous oxide thin film materials and the fabrication methods of transistors. By introducing the crystal and electronic structure of stannous oxide in details, the microcosmic regul-ation mechanism of the properties of tin oxide was discussed. Through the preparation of stannous oxide materials and the research and application of the devices, the problems of low current-to-switch ratio faced by stannous oxide thin film transistors were analyzed and their prospects in the direction of the complementary metal-oxide-semiconductor devices were put forward, in order to provide a refere-nce for the preparation of p-type metal oxide thin film transistors which are stable and eco-friendly.

Abstract Background Intense exercise is a systemic stressor associated with the release of “danger” molecules – alarmins, by damaged or dying cells into systemic circulation to evoke a sterile inflammatory response. Compared with research in clinical diseases, physiological responses of alarmins to exercise and training are not well studied. Short-term responses to exercise and training using a panel of alarmins – HMGB1, S100A8/A9, HSP70 and sRAGE may reveal unique aspects of stress responses to strenuous exercise, with important ramifications when prescribing exercise to generally healthy adults. Methods A 3-week, high-intensity training program was performed by healthy young men (N = 7). Concurrent aerobic and resistance exercises were performed on 3 consecutive days each week. Blood and saliva were collected before (Pre), immediately after (Post), and 30 min (30 min) after exercise each week, and 24 h after the final exercise session in week 3 (24 h). Results Plasma HMGB1, S100A8/A9 and HSP70 increased from Pre to Post (P

The nucleoside derivative N-isobutyryl-3'-O-(1-fluoro-1,1,3,3-tetraisopropyl-1,3-disiloxane-3-yl)-2'-benzyloxy carbonyl-guanosine (compound 1) was obtained by selectively cleaving the 1,1,3,3-tetraisopropyldisiloxanyl protecting group at 5'-position with pyridinium hydrofluoride. Liquid chromatography-mass spectrometry (LC-MS), gas chromatography-high resolution mass spectrometry (GC-HRMS), liquid one-dimensional/two-dimensional nuclear magnetic resonance (NMR) techniques (i.e., 1H NMR, 13C NMR, 19F NMR, DEPT, 1H-1H COSY, 1H-13C HSQC and 1H-13C HMBC) were used to assign the signals.

In recent years, "green" cellulose nanopaper made of nanocellulose has been considered as an alternative substrate for flexible electronics due to its unsurpassed quintessential physical and chemical properties, for example, biodegradability, light mass, mechanical flexibility, transparency, thermal stability, and compatible with well-established roll-to-roll manufacturing techniques. Nanopaper substrates for flexible electronics have gradually been a hotspot of research in academic and industrial community due to the increasing environmental concerns on electronic waste. The latest progresses in nanopaper substrates for flexible electronics were reviewed. The preparation, properties, and device applications of nanopaper substrates were elucidated in details, with specific emphasis on the current application status of nanopaper substrates in organic thin-film transistors, solar cells, and organic light emitting diodes. Moreover, several personal insights on the existing challenges and future research direction of nanopaper substrates were considered based on current advances.

Atherosclerosis is a progressive pathological remodeling of the arteries and one of its hallmarks is the presence of chronic inflammation. Notably, there is an increased proportion and activation state of specific monocyte subsets in systemic blood circulation. Monocyte subsets have distinct contributions to the formation, progression, and destabilization of the atherosclerotic plaque. Strong clinical and epidemiological studies show that regular aerobic exercise mitigates the progression of cardiovascular disease. In fact, aerobic fitness is a powerful predictor of cardiovascular mortality in adults, independent of traditional risk factors such as hypertension and hyperlipidemia. Acute bouts and chronic exercise training modulate monocyte behavior, ranging from their recruitment from the bone marrow or marginal pool, to tissue margination and functional changes in cytokine and chemokine production. Such modulation could reflect a potential mechanism for the cardio-protective effect of exercise on atherosclerosis. This review summarizes the current knowledge of monocyte subsets and highlights what is known about their responses to exercise.

The certificates trusted model and trusted root certificates management of current PKI system were analysed. A leak in the trusted root certificates management was pointed out. Further, the wrong trusting and information leak caused by certificates replacement were analyzed. Finally, the trusted root certificates management tree based on binary signature tree was presented, and the forming of trusted root certificates management tree and the algorithm of trusted root certificates verification were given. Thus, the trusted root certificates management tree not only keeps the trusted root certificates from being replaced, but also have little size and light computing.

Against the backdrop of the gradually exposed credit bond default risk in China, how to accurately identify and efficiently warn of corporate bond default risk has become a key concern for both academia and practice. To effectively solve a series of key problems in the traditional credit risk warning model, such as insufficient warning performance, single optimization target of hyperparameters, and weak model interpretability, this study integrates machine learning algorithms such as LightGBM, NSGA- II, and SHAP to constructs a LightGBM-NSGA- II-SHAP for early warning of corporate bond default risk, and empirically analyzes and tests the warning performance of the proposed model. The research results show that the warning accuracy of the proposed model exceed 85%, and compared with traditional machine learning models, the warning performance of the proposed model in this study is more excellent. In addition, the impact of visualization of warning features on warning results is demonstrated through the SHAP algorithm, and it is found that coupon interest rate, profit margin on fixed assets, total issuance, and receivable turnover etc. are the key features for identifying corporate bond defaults. [ABSTRACT FROM AUTHOR]