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MicroRNA‑93 stops the actual apoptosis and -inflammatory reaction of tubular epithelial cells through PTEN/AKT/mTOR pathway inside serious renal system injuries.
BACKGROUND An unresolved debate lingers over the effect of past behavior on motivational patterns and future behavior stability in the exercise context. Theorists argue that past behavior has a residual effect on future behavior; however, empirical studies have shown that past behavior displays significant power in predicting behavior recurrence in the future. The present research aimed to examine the effect of past behavior and motivational determinants on future exercise adherence. METHODS Data from 437 Portuguese gym exercisers (female = 235; male = 202) aged between 18 and 53 years (M = 31.14; SD = 9.47), with exercise experience ranging from 6 to 12 months (M = 9.41; SD = 1.33) were considered for research. Participants completed a multi-section survey measuring interpersonal behaviors, basic psychological needs, behavioral regulations, and intentions. Data from past behavior and future exercise adherence were collected using computerized records of their attendance at the gym. RESULTS Positive and significant correlations paths were evidenced among perceived supportive behaviors, needs satisfaction, autonomous motivation, intentions and future exercise adherence. Similar results were presented among perceived thwarting behaviors, needs frustration, and controlled motivation. Regression paths showed that perceived supportive behavior, basic needs satisfaction, and autonomous motivation displayed positive and significant effects on future behaviors; thus, past behavior displayed the highest coefficient on future exercise adherence. Fitness professionals should aim at creating supportive environments, thus, improving the likelihood of being perceived by exercisers as need-supportive individuals. By doing so, as a result, exercisers would experience increased levels of autonomous motivation and higher rates of future exercise attendance at the gym. Hence, exercisers will gradually form their positive past exercise experience, increasing the probability of engaging in an exercise in the future.Water transfer through porous textiles consists of two sequential processes synchronous wicking-evaporating and evaporating alone. In this work we set out to identify the main structural parameters affecting the water transfer process of cotton fabrics. Eight woven fabrics with different floats were produced. GSK864 order The fabrics were evaluated on a specially designed instrument capable of measuring the water loss through a vertical wicking process. Each test took 120 min, and two phases were defined Phase I for the first 10 min and Phase II for the last 110 min according to wicking behavior transition. Principal components and multivariate statistical methods were utilized to analyze the data collected. The results showed that Phase I dominated the whole wicking-evaporating process, and the moisture transfer speed in this phase varied with fabric structure, whereas the moisture transfer speeds in Phase II were similar and constant regardless of fabric structure. In addition, fabric with more floats has high water transfer speed in Phase I due to its loosened structure with more macropores.Increasing evidence indicates a relationship between cannabis use and psychosis risk. Specific factors, such as determinants of cannabis use or the genetic profile of cannabis users, appear to moderate this association. The present systematic review presents a detailed and up-to-date literature overview on factors that influence the relationship between cannabis use and psychosis risk. A systematic search was performed according to the PRISMA guidelines in MEDLINE and Embase, and 56 studies were included. The results show that, in particular, frequent cannabis use, especially daily use, and the consumption of high-potency cannabis are associated with a higher risk of developing psychosis. Moreover, several genotypes moderate the impact of cannabis use on psychosis risk, particularly those involved in the dopamine function, such as AKT1. Finally, cannabis use is associated with an earlier psychosis onset and increased risk of transition in individuals at a clinical high risk of psychosis. These findings indicate that changing cannabis use behavior could be a harm reduction strategy employed to lower the risk of developing psychosis. Future research should aim to further develop specific biomarkers and genetic profiles for psychosis, thereby contributing to the identification of individuals at the highest risk of developing a psychotic disorder.The role of proteoglycans in the central nervous system (CNS) is a rapidly evolving field and has major implications in the field of CNS injury. Chondroitin sulfate proteoglycans (CSPGs) increase in abundance following damage to the spinal cord and inhibit neurite outgrowth. Major advances in understanding the interaction between outgrowing neurites and CSPGs has created a need for more robust and quantitative analyses to further our understanding of this interaction. We report the use of a high-throughput assay to determine the effect of various post-translational modifications of aggrecan upon neurite outgrowth from NS-1 cells (a PC12 cell line derivative). Aggrecan contains chondroitin sulfate, keratan sulfate, and N-linked oligosaccharides (N-glycans), each susceptible to removal through different enzymatic digestions. Using a sequential digestion approach, we found that chondroitin sulfate and N-glycans, but not keratan sulfate, contribute to inhibition of neurite outgrowth by substrate-bound aggrecan. For the first time, we have shown that N-linked oligosaccharides on aggrecan contribute to its inhibition of neuritogenesis.This work was motivated by a study of particle size effects on pyrolysis kinetics and models of polystyrene particle. Micro-size polystyrene particles with four different diameters, 5, 10, 15, and 50 µm, were selected as experimental materials. Activation energies were obtained by isoconversional methods, and pyrolysis model of each particle size and heating rate was examined through different reaction models by the Coats-Redfern method. To identify the controlling model, the Avrami-Eroféev model was identified as the controlling pyrolysis model for polystyrene pyrolysis. Accommodation function effect was employed to modify the Avrami-Eroféev model. The model was then modified to f() = n0.39n - 1.15(1 - )[-ln(1 - )]1 - 1/n, by which the polystyrene pyrolysis with different particle sizes can be well explained. It was found that the reaction model cannot be influenced by particle geometric dimension. The reaction rate can be changed because the specific surface area will decrease with particle diameter. To separate each step reaction and identify their distributions to kinetics, distributed activation energy method was introduced to calculate the weight factor and kinetic triplets.
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