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Abstract Lithium salt-doped spiro-OMeTAD is widely used as a hole-transport layer (HTL) for high-efficiency n-i-p perovskite solar cells (PSCs), but unfortunately facing awkward instability for commercialization arising from the intrinsic Li+ migration and hygroscopicity. We herein demonstrate a superoxide radicals (•O2 −) derived HTL of metal-free spiro-OMeTAD with remarkable capability of avoiding the conventional tedious oxidation treatment in air for highly stable PSCs. Present work explores the employing of variant-valence Eu(TFSI)2 salts that could generate •O2 − for facile and adequate pre-oxidation of spiro-OMeTAD, resulting in the HTL with dramatically increased conductivity and work function. Comparing to devices adopting HTL with LiTFSI doping, the •O2 −-derived spiro-OMeTAD increases the PSCs efficiency up to 25.45% and 20.76% for 0.05 cm2 active area and 6 × 6 cm2 module, respectively. State-of-art PSCs employing such metal-free HTLs are also demonstrated to show much-improved environmental stability even under harsh conditions, e.g., maintaining over 90% of their initial efficiency after 1000 h of operation at the maximum power point and after 80 light-thermal cycles under simulated low earth orbit conditions, respectively, indicating the potentials of developing metal-free spiro-OMeTAD for low-cost and shortened processing of perovskite photovoltaics.

Abstract Background Long-term accumulation of misfolded proteins leads to endoplasmic reticulum (ER) stress in colorectal cancer (CRC). However, the precise pathways controlling the decision between survival and apoptosis in CRC are unclear. Therefore, in this study, we investigated the function and molecular mechanism of glucosidase I (GCS1) in regulating ER stress in CRC. Methods A public database was used to confirm the expression level of GCS1 in CRC and normal tissues. Clinical samples from our center were used to confirm the mRNA and protein expression levels of GCS1. Cell proliferation, migration, invasion, and apoptosis assays revealed the biological role of GCS1. Immunohistochemical techniques were used to evaluate the expression of key proteins in subcutaneous implanted tumors in nude mice, which provided further evidence for the biological function of GCS1 in promoting cancer in vivo. The results of coimmunoprecipitation-mass spectrometry analysis and immunofluorescence colocalization analysis the interaction between GCS1 and GRP78. In addition, the mechanism of action of USP10, GRP78, and GCS1 at the post- translational level was investigated. Finally, a tissue microarray was used to examine the connection between GCS1 and GRP78 expression and intracellular localization of these proteins using immunohistochemistry and immunofluorescence. Results The experimental results revealed that GCS1 was substantially expressed in CRC, with higher expression indicating a worse prognosis. Thus, GCS1 can enhance the proliferation and metastasis while inhibiting the apoptosis of CRC cells both in vivo and in vitro. Mechanistically, GCS1 binds to GRP78, recruits USP10 for deubiquitination of GRP78 to promote its degradation, and decreases ER stress-mediated apoptosis, increasing CRC cell proliferation and metastasis. Conclusions In summary, GCS1 stimulates CRC growth and migration and reduces ER stress-mediated apoptosis via USP10-mediated deubiquitination of GRP78. Our findings identify a possible therapeutic target for CRC.

The thermal effect of coal pyrolysis is a key parameter in the process of coal pyrolysis mechanism research and reactor design. At present, there are a lot of differences in the accuracy of evaluation methods for coal pyrolysis thermal effect. The most widely used and feasible method is based on simultaneous thermal analyzer (TG-DSC synchronous combination). However, this method still relies heavily on the measurement accuracy of the instrument, and there are also some differences in the accuracy of thermal effect calculation methods after the heat flow curve is obtained, resulting in a poor repeatability of the data and difficulty in adapting to the needs of large-scale production and process design. Tar-rich coal is high-quality raw material for coal to tar, it contains more hydrogen-rich structures such as aliphatic side chains and bridge bonds, it could be pyrolyzed to produce more tar during pyrolysis. The regulation of pyrolysis process is the key factor affecting the quality of tar produced by the pyrolysis of tar-rich coal, and the thermal effect of pyrolysis process is an important parameter for selecting pyrolysis process. Therefore, it is urgent to develop an accurate and efficient evaluation method of coal pyrolysis thermal effect for both tar-rich coal pyrolysis and generalized coal conversion. Based on the experimental results for the slow pyrolysis of tar-rich coal, combined with pyrolysis reaction mechanism and empirical formula, the product-oriented pyrolysis reaction system of tar-rich coal was constructed. The chemical reaction heat for the pyrolysis process of tar-rich coal was obtained by the thermodynamic calculation of the reaction system using the classical thermodynamic analysis method. Combined with the physical heat absorption in the pyrolysis process, the thermal effect in the low-temperature slow pyrolysis process of tar-rich coal could be obtained. Then, based on the reported coal pyrolysis experimental results and measured values of pyrolysis thermal effect, the random forest model of machine learning method was used to nonlinearly model and predict the thermal effect of coal pyrolysis. The results showed that based on experimental results, the thermal effect value for slow pyrolysis of tar-rich coal calculated by the product-oriented calculation was generally lower than that measured by TG-DSC synchronous combination, and the error was within 10%. The prediction accuracy for the thermal effect value of tar-rich coal pyrolysis based on machine learning algorithm was 0.935 2. Overall, the two prediction models of thermal effect of tar-rich coal pyrolysis constructed were practical and applicable.

Summary: Purpose: The prevalence of psychological distress is frequently observed among old adults with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). However, current researches are insufficient to clarify the correlation among these relevant factors. This study examined the effects of symptom burden, psychological resilience, coping styles, and social support on psychological distress. Methods: Two hundred fifty five elderly patients with AECOPD were conveniently selected in Taian, Shandong Province. The General Information Questionnaire, Distress Thermometer, The Revised Memorial Symptom Assessment Scale, Connor-Davidson Resilience Scale, Simplified Coping Style Questionnaire, Perceived Social Support Scale were used to investigate. The relationship among factors was estimated by using a structural equation model. Results: Psychological distress score of elderly patients with AECOPD was (5.25 ± 1.01); coping styles, psychological resilience, symptom burden, and social support directly affected psychological distress (the direct effects were −.93, .17, .17, and −.09); coping styles had the largest total effect on psychological distress (the total effect was −.93); psychological resilience indirectly affected psychological distress through coping styles (the indirect effect was −.74); symptom burden indirectly affected psychological distress through psychological resilience (the indirect effect was .25); social support indirectly affected psychological distress through symptom burden, psychological resilience, and coping styles (the indirect effect was −.80). Conclusion: The psychological distress of elderly patients with AECOPD is at a moderate level; coping styles, psychological resilience, and social support have positive effects on alleviating the psychological distress of elderly patients with AECOPD; symptom burden is negatively correlated with psychological distress. Healthcare professionals should pay more attention to elderly patients with AECOPD who are particularly prone to experience higher levels of psychological distress, especially in the presence of low coping style, limited psychological resilience, inadequate levels of social support, and high symptom burden.

Abstract Fulminant myocarditis has been defined as the clinical manifestation of cardiac inflammation with rapid-onset heart failure and cardiogenic shock. We report on the case of a 17-year-old boy with hemodynamic derangement and cardiac arrest due to fulminant myocarditis. After about 2 h of intensive cardiopulmonary resuscitation, with 13 days of extracorporeal membrane oxygenation support, the patient finally bridged to orthotopic heart transplantation. The patient recovered uneventfully and was discharged 37 days after transplantation. The explanted heart revealed diffuse lymphocytic infiltration and myocyte necrosis in all four cardiac chamber walls confirming the diagnosis and identifying the underlying cause of fulminant myocarditis.

The conventional terahertz radar suffers from limited operation range for long-distance, noncooperative target detection due to the low transmitter power and atmospheric attenuation effect, both of which pose a hindrance in meeting the requirements of warning detection applications. To improve the radar detection capability, this paper studies an ultrasensitive target detection method based on single-photon detectors to replace traditional radar receivers. The method is expected to considerably expand the operation range of terahertz radars. First, the statistical law of the number of echo photons of a terahertz single-photon radar system is analyzed, and the echo characteristics of the target are expounded from a microscopic perspective. Furthermore, a terahertz single-photon target detection model, incorporating the characteristics of a quantum capacitor detector, is established. In addition, the mathematical expression of the target detection performance is derived, and the performance is evaluated via simulations. Further, a target detection performance curve is obtained. Finally, a time-resolved terahertz photon-counting mechanism experiment is performed, wherein we realize high-precision ranging by counting echo pulses. This work can provide support for the research and development of ultrasensitive target detection technologies and single-photon radar systems in the terahertz band.

Abstract While the anaerobic-anoxic-oxic (AAO) process is the most widely applied biological wastewater treatment process in municipal wastewater treatment plants (WWTPs), it struggles to meet the increasing demands on biological toxicity control of the treated effluent. To tackle this challenge, this study develops machine learning (ML)-based models for optimizing the AAO treatment process towards improving its toxicity reduction efficacy for the effluent. The water quality parameters, treatment process parameters, and biological toxicity information (based on the nematode bioassay) of the effluent collected from 122 WWTPs in China are used to train the models. The validated models accurately predict the effluent’s quality parameters (average R2 = 0.81) and the biological toxicity reduction ratio of treatment process (R2 = 0.86). To further improve the toxicity reduction, we developed a multiple objective optimization framework to optimize the AAO process via unit process recombination. In the short-range unit combination, the toxicity reduction ratio of the four-unit combined processes (up to 79.8% of anaerobic-aerobic-anaerobic-aerobic) is significantly higher than others. After optimization, it helps to improve the average toxicity reduction efficacy of 122 WWTPs from 48.6% to 70.7%, with a maximum of 87.5%. The methodologies and findings derived from this work are expected to provide the foundation for the optimization, expansion, and technical transformation of biological wastewater treatment in WWTPs.