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OIP5-AS1 knockdown upregulated ox-LDL-treated HUVECs viability and suppressed apoptosis as well as LDH release. Interestingly, OIP5-AS1 elevated LOX1 level through downregulating miR-320a expression. As expected, miR-320a modulated LOX1 expression to mediate ox-LDL-treated HUVECs progression. Furthermore, OIP5-AS1 knockdown modulated cell progression via regulating miR-320a/LOX1 axis in ox-LDL-treated HUVECs. Our results demonstrated that the depletion of OIP5-AS1 enhanced cell viability and repressed apoptosis as well as LDH release in ox-LDL-treated HUVECs, providing potential target for the treatment of AS.Aggregation of particular proteins in the form of inclusion bodies or plaques followed by neuronal death is a hallmark of neurodegenerative proteopathies such as primary Parkinsonism, Alzheimer's disease, Lou Gehrig's disease, and Huntington's chorea. Complex polygenic and environmental factors implicated in these proteopathies. Accumulation of proteins in these disorders indicates a substantial disruption in protein homeostasis (proteostasis). Proteostasis or cellular proteome homeostasis is attained by the synchronization of a group of cellular mechanisms called the proteostasis network (PN), which is responsible for the stability of the proteome and achieves the equilibrium between synthesis, folding, and degradation of proteins. In this review, we will discuss the different types of PN and the impact of PN component dysfunction on the four major neurodegenerative diseases mentioned earlier. Graphical abstract.The establishment of artificial sand-binding vegetation is one of the main means for restoring damaged ecosystems that are impacted by global change. This study was conducted to evaluate the influence of environmental factors on ecosystem function (net ecosystem exchange (NEE), evapotranspiration (ET), and water use efficiency (WUE)) in an artificial sand-binding vegetation desert (with dominant shrubs, such as Artemisia ordosica and Caragana korshinskii, and herbaceous plants) in northwestern China. NEE, ET, and meteorological data were observed with the eddy covariance (EC) technique. The random forest (RF) method was used to identify major environmental factors that affected NEE, ET, and WUE. Our results showed that the mean annual NEE, ET, and WUE values were - 112.4 g C m-2, 232.1 mm, and 0.49 g C kg-1 H2O, respectively, during the 2015 to 2018 growing seasons. At the weekly scale, the most important drivers of NEE were the normalized difference vegetation index (NDVI) and soil water content (SWC). Rainfall, SWC, and NDVI were important drivers of ET. WUE was mainly controlled by rainfall and SWC. Linear regression showed that NEE had significant negative relationships with the NDVI and SWC. ET had positive relationships with rainfall, SWC, and the NDVI. WUE had significant negative relationships with SWC and rainfall. These findings indicate that drought inhibited ET more than carbon absorption, thus promoting the WUE of the ecosystem to some extent. MEDICA16 clinical trial The close relation of the ecosystem function to SWC implies that this ecosystem may be critically regulated by future climate change (specifically, changes in rainfall patterns).As the demand for metal minerals grows, the number of mine tailings increases dramatically worldwide. Toxic heavy metals (HMs) in tailings tend to migrate into the environment and cause serious damage to the surroundings. Possible eco-friendly solutions for the in situ stabilization of HMs in tailing ponds are required to reduce their mobility. Leaching tests were performed with attapulgite, zeolite, and bentonite to determine which stabilizer is more efficient. As a result, attapulgite has more significant effect with certain dose on metal mine tailings than zeolite or bentonite, especially in a strongly acidic environment. In addition, an in situ stabilization experiment was performed by adding a stabilizer to a lead-zinc mine tailing pond with high-pressure rotary jet technology. The field experiment indicated that the concentrations of HMs in the leachate substantially decreased (30.5% for Cr, 43.1% for Cu, 87.8% for Zn, 82.9% for Cd, and 42.4% for Pb) after the HMs were stabilized by high-pressure rotary jet technology. A set of parameters for the rotary jet process was obtained when the in situ stabilization experiment was carried out.The n-octanol/water partition coefficient (logKow) is widely used in the environmental, agricultural and pharmaceutical fields for the risk evaluation and application of organic chemicals. In this work, grounded on atomic distribution matrices, a norm index-based QSPR model was built for organic chemicals with 18 kinds of diverse structures. The statistical results (R2 = 0.9037, RMSE = 0.4515) showed that the QSPR model for describing the logKow of organics was fitted well. Various validation results showed that the model had good robustness, good predictability and wide applicability. These satisfactory results indicated that the model was applicable for the logKow description of organic chemicals and that norm descriptors were reliable and general for the description of organic structures. The model was relatively better at describing logKow for aromatics, alcohols, nitriles, esters, amides, halogenated compounds, acids and amine compounds. The intensity of spatial branching and the space charge distribution intensity descriptors could have a greater impact on the logKow value of a compound.Pakistan is ranked among the most climate change adversely affected countries of the world due to facing higher frequency of extreme natural hazards events as floods, drought, and earthquakes. Inadequate mitigation measures regarding severity and consecutive events of floods have badly affected millions of households' livelihoods. Pakistan has experienced five consecutive floods in the current decade from 2010 to 2015. These floods severely affected the mostly districts of Punjab province among these three most flood-affected districts Rahim Yar Khan, Muzaffargarh, and Rajanpur were selected for this research work. This study used the cross-sectional data of 840 flood-affected households from these three districts. Empirical estimates indicated the study area households major adaptation measures were foundation strengthen, elevated ground floor, precautionary saving, and construction of the house with reinforced material. Probit model estimates signified age, gender, location, and family size; monthly income, physical disability, education, and house ownership were major factors influencing mitigation strategies of households' level.