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Aims PMNs (polymorphonuclear neutrophil) play important roles in early stage of inflammation induced ARDS (Acute Respiratory Distress Syndrome). Both HBP (Heparin-Binding Protein) released from active PMNs and β2 integrins on the surface of PMNs are involved in vascular leakage. The role and relationship of HBP and β2 integrins on ARDS still requires study. Materials and methods We established ARDS model using C57BL/6 mice with cecal ligation and puncture and eliminating HBP and β2 integrin with respective antibodies. The mice were also challenged with HBP endotracheal instillation. Histopathology score, lung wet/dry ratio, bronchoalveolar lavage fluid protein, plasma HBP and β2 integrin on PMNs from all groups were measured. β2 integrin and HBP were analyzed after incubated PMNs with streptococcal and pretreat with anti-CD18, anti-HBP, 1-phosphatidylinositol 3-kinase (PI3K) inhibitor and p38 mitogen-activated protein kinase (MAPK) inhibitor. Key findings All lung injury indicatrix accompanied with HBP and β2 integrin elevated in CLP group, and HBP and β2 integrin were in correlation with each other and both were in correlation with the severity of lung injury. Endotracheal instillation HBP induced lung injury in CLP mice. Inhibiting both HBP and integrin ameliorated lung injury. HBP release was suppressed by inhibiting integrin and PI3K pathway, while integrin level did not decrease after eliminating HBP. Significance Both HBP and β2 integrin play important roles in ARDS. HBP released from PMNs is β2 integrin-PI3K signaling pathway dependent process revealing potential novel therapeutic targets for ARDS treatment.

SUMMARY Despite wide use of anti-vascular endothelial growth factor (VEGF) therapy for many solid cancers, most individuals become resistant to this therapy, leading to disease progression. Therefore, new biomarkers and strategies for blocking adaptive resistance of cancer to anti-VEGF therapy are needed. As described here, we demonstrate that cancer-derived small extracellular vesicles package increasing quantities of VEGF and other factors in response to anti-VEGF therapy. The packaging process of VEGF into small extracellular vesicles (EVs) is mediated by the tetraspanin CD63. Furthermore, small EV-VEGF (eVEGF) is not accessible to anti-VEGF antibodies and can trigger intracrine VEGF signaling in endothelial cells. eVEGF promotes angiogenesis and enhances tumor growth despite bevacizumab treatment. These data demonstrate a mechanism where VEGF is partitioned into small EVs and promotes tumor angiogenesis and progression. These findings have clinical implications for biomarkers and therapeutic strategies for ovarian cancer., Graphical abstract, In brief Ma et.al report that cancer-cell-derived small EVs contain increasing amounts of VEGF (eVEGF) and contribute to resistance to anti-VEGF therapy (AVT). CD63 is a potential mediator that regulates packaging of VEGF into small EVs. eVEGF can trigger intracrine VEGF signaling in endothelial cells and promote angiogenesis despite AVT.

SUMMARY Tumor and stromal interactions consist of reciprocal signaling through cytokines, growth factors, direct cell-cell interactions, and extracellular vesicles (EVs). Small EVs (≤200 nm) have been considered critical messengers of cellular communication during tumor development. Here, we demonstrate that gain-of-function (GOF) p53 protein can be packaged into small EVs and transferred to fibroblasts. GOF p53 protein is selectively bound by heat shock protein 90 (HSP90), a chaperone protein, and packaged into small EVs. Inhibition of HSP90 activity blocks packaging of GOF, but not wild-type, p53 in small EVs. GOF p53-containing small EVs result in their conversion to cancer-associated fibroblasts. In vivo studies reveal that GOF p53-containing small EVs can enhance tumor growth and promote fibroblast transformation into a cancer-associated phenotype. These findings provide a better understanding of the complex interactions between cancer and stromal cells and may have therapeutic implications., Graphical abstract, In Brief Ma et al. report that gain-of-function (GOF) p53 protein can be packaged into small EVs and transferred to stromal fibroblasts. The packaging of GOF p53 into small EVs is regulated by HSP90. Small EVs with GOF p53 activate Nrf2-mediated pathways in fibroblasts and induce their conversion to a cancer-associated phenotype.

Higher efficiencies and optimal utilization of geothermal energy require a careful analysis of Organic Rankine Cycle (ORC) which is suitable for converting electric power from low-temperature heat sources. The objective of this study is to experimentally analyze the effect of varying working fluid mass flow rate and the regenerator on the efficiency of the regenerative ORC operating on R123. As R123 presents a low boiling point temperature (27.82 °C), a technology was invented to address the leakage issue when transferring R123 between the inside and outside of the regenerative ORC system. A specially manufactured throttle valve was adopted in the bypass subsystem to protect the turbine during the starting and closing processes and a novel phenomenon was discovered during the test. A preliminary test of the system was conducted with a geothermal source temperature of 130 °C. The experimental results show that the power output is 6 kW and the regenerative ORC efficiency is 7.98%, which is higher than that of the basic ORC by 1.83%.

Organic Rankine cycle can effectively recover the low grade heat source due to its distinctive thermodynamic performance. Based on the thermodynamic mathematical models of an ORC (organic Rankine cycle) system, this study examines the effects of key thermodynamic design parameters, including turbine inlet pressure, turbine inlet temperature, pinch temperature difference and approach temperature difference in (heat recovery vapor generator) HRVG, on the net power output and surface areas of both the HRVG and the condenser using R123, R245fa and isobutane. Considering the economic factor for the system optimization design, a ratio of net power output to total heat transfer area is selected as the performance evaluation criterion to predict the system performance from the view of both thermodynamics and economics. Genetic algorithm is employed to optimize the system performance. The results show that turbine inlet pressure, turbine inlet temperature, pinch temperature difference and approach temperature difference have significant effects on the net power output and surface areas of both the HRVG and the condenser. By parametric optimization, the ORC system with isobutane has the best system performance than that with R123 or R245fa. The optimum pinch temperature difference and approach temperature difference are generally located at upper boundary over their parametric design ranges.

A new integrated power generation system driven by the solid oxide fuel cell (SOFC) is proposed to improve the conversion efficiency of conventional energy by using a Kalina cycle to recover the waste heat of exhaust from the SOFC-GT. The system using methane as main fuel consists an internal reforming SOFC, an after-burner, a gas turbine, preheaters, compressors and a Kalina cycle. The proposed system is simulated based on the developed mathematical models, and the overall system performance has been evaluated by the first and second law of thermodynamics. Exergy analysis is conducted to indicate the thermodynamic losses in each components. A parametric analysis is also carried out to examine the effects of some key thermodynamic parameters on the system performance. Results indicate that as compressor pressure ratio increases, SOFC electrical efficiency increases and there is an optimal compressor pressure ratio to reach the maximum overall electrical efficiency and exergy efficiency. It is also found that SOFC electrical efficiency, overall electrical efficiency and exergy efficiency can be improved by increasing air flow rate. Also, the largest exergy destruction occurs in the SOFC followed by the after-burner, the waste heat boiler, the gas turbine. The compressor pressure ratio and air flow rate have significant effects on the exergy destruction in some main components of system.

Although a solid oxide fuel cell combined with a gas turbine (SOFC-GT) has good performance, the temperature of exhaust from gas turbine is still relatively high. In order to recover the waste heat of exhaust from the SOFC-GT to enhance energy conversion efficiency as well as to reduce the emissions of greenhouse gases and pollutants, in this study a new combined cooling, heat and power (CCHP) system driven by the SOFC is proposed to perform the trigeneration by using ammonia–water mixture to recover the waste heat of exhaust from the SOFC-GT. The CCHP system, whose main fuel is methane, can generate electricity, cooling effect and heat effect simultaneously. The overall system performance has been evaluated by mathematical models and thermodynamic laws. A parametric analysis is also conducted to examine the effects of some key thermodynamic parameters on the system performance. Results indicate that the overall energy conversion efficiency exceeds 80% under the given conditions, and it is also found that the increasing the fuel flow rate can improve overall energy conversion efficiency, even though both the SOFC efficiency and electricity efficiency decrease. Moreover, with an increased compressor pressure ratio, the SOFC efficiency, electricity efficiency and overall energy conversion efficiency all increase. Ammonia concentration and pressure entering ammonia–water turbine can also affect the CCHP system performance.

Supercritical CO2 power cycle shows a high potential to recover low-grade waste heat due to its better temperature glide matching between heat source and working fluid in the heat recovery vapor generator (HRVG). Parametric analysis and exergy analysis are conducted to examine the effects of thermodynamic parameters on the cycle performance and exergy destruction in each component. The thermodynamic parameters of the supercritical CO2 power cycle is optimized with exergy efficiency as an objective function by means of genetic algorithm (GA) under the given waste heat condition. An artificial neural network (ANN) with the multi-layer feed-forward network type and back-propagation training is used to achieve parametric optimization design rapidly. It is shown that the key thermodynamic parameters, such as turbine inlet pressure, turbine inlet temperature and environment temperature have significant effects on the performance of the supercritical CO2 power cycle and exergy destruction in each component. It is also shown that the optimum thermodynamic parameters of supercritical CO2 power cycle can be predicted with good accuracy using artificial neural network under variable waste heat conditions.

A new combined cooling, heating and power (CCHP) system is proposed. This system is driven by solar energy, which is different from the current CCHP systems with gas turbine or engine as prime movers. This system combines a Rankine cycle and an ejector refrigeration cycle, which could produce cooling output, heating output and power output simultaneously. The effects of hour angle and the slope angle of the aperture plane for the solar collectors on the system performance are examined. Parametric optimization is conducted by means of genetic algorithm (GA) to find the maximum exergy efficiency. It is shown that the optimal slope angle of the aperture plane for the solar collectors is 60° at 10 a.m. on June 12, and the CCHP system can reach its optimal performance with the slope angle of 45° for the aperture plane at midday. It is also shown that the system can reach the maximum exergy efficiency of 60.33% under the conditions of the optimal slope angle and hour angle.

A new combined power and ejector–absorption refrigeration cycle is proposed, which combines the Rankine cycle and the ejector–absorption refrigeration cycle, and could produce both power output and refrigeration output simultaneously. This combined cycle, which originates from the cycle proposed by authors previously, introduces an ejector between the rectifier and the condenser, and provides a performance improvement without greatly increasing the complexity of the system. A parametric analysis is conducted to evaluate the effects of the key thermodynamic parameters on the cycle performance. It is shown that heat source temperature, condenser temperature, evaporator temperature, turbine inlet pressure, turbine inlet temperature, and basic solution ammonia concentration have significant effects on the net power output, refrigeration output and exergy efficiency of the combined cycle. It is evident that the ejector can improve the performance of the combined cycle proposed by authors previously.

We present the first case of encephalitis caused by Cryptococcus albidus duo to AIDS. In addition, we give an overview of the literature of extra-dermal infection cases caused by C. albidus. In the 21 cases, HIV and organ transplantation were important risk factors especially in recent 20 years. Fungal culture or India ink preparations are the best way to demonstrate C. albidus in both serum and CSF.