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In order to adapt to the change of learning style and pay attention to inquiry learning in the new curriculum reform, a heuristic teaching model of life problems is proposed. The heuristic teaching model of life problems is mainly divided into three steps: putting forward physical problems in life, teachers’ guided learning and experimental demonstration. Through course practice, students who adopt the heuristic teaching mode of life problems have greatly improved their love for physics courses, and their practical ability is stronger. They can think independently, analyze and solve problems, find physical knowledge from life and explain it with physical theoretical knowledge, and have stronger application ability. At the same time, the results of students who adopt the heuristic teaching mode of life problems are greatly improved, which provides a feasible scheme for the curriculum reform and development of physics in junior middle school.

To improve the clinical outcome of adoptive NK cell therapy in patients with solid tumors, NK cells need to persist within the tumor microenvironment (TME) in which the abundance of ROS could dampen antitumor immune responses. In the present study, we demonstrated that IL-15-primed NK cells acquired resistance against oxidative stress through the thioredoxin system activated by mTOR. Mechanistically, the activation of thioredoxin showed dependence on localization of thioredoxininteracting protein. We show that NK cells residing in the tumor core expressed higher thiol densities that could aid in protecting other lymphocytes against ROS within the TME. Furthermore, the prognostic value of IL15 and the NK cell gene signature in tumors may be influenced by tobacco smoking history in patients with non-small-cell lung cancer (NSCLC). Collectively, the levels of reducing antioxidants in NK cells may not only predict better tumor penetrance but potentially even the immune therapy response., Introduction ROS are a diverse class of radical species that have different roles depending on their concentration. Considering their immune-suppressive effects, ROS have been proposed as a metabolic immune checkpoint [...]

Acute kidney injury (AKI) is a frequent complication of critical illness and carries a significant risk of short‐ and long‐term mortality. The prediction of the progression of AKI to long‐term injury has been difficult for renal disease treatment. Radiologists are keen for the early detection of transition from AKI to long‐term kidney injury, which would help in the preventive measures. The lack of established methods for early detection of long‐term kidney injury underscores the pressing needs of advanced imaging technology that reveals microscopic tissue alterations during the progression of AKI. Fueled by recent advances in data acquisition and post‐processing methods of magnetic resonance imaging (MRI), multiparametric MRI is showing great potential as a diagnostic tool for many kidney diseases. Multiparametric MRI studies offer a precious opportunity for real‐time noninvasive monitoring of pathological development and progression of AKI to long‐term injury. It provides insight into renal vasculature and function (arterial spin labeling, intravoxel incoherent motion), tissue oxygenation (blood oxygen level‐dependent), tissue injury and fibrosis (diffusion tensor imaging, diffusion kurtosis imaging, T1 and T2 mapping, quantitative susceptibility mapping). The multiparametric MRI approach is highly promising but the longitudinal investigation on the transition of AKI to irreversible long‐term impairment is largely ignored. Further optimization and implementation of renal MR methods in clinical practice will enhance our comprehension of not only AKI but chronic kidney diseases. Novel imaging biomarkers for microscopic renal tissue alterations could be discovered and benefit the preventative interventions. This review explores recent MRI applications on acute and long‐term kidney injury while addressing lingering challenges, with emphasis on the potential value of the development of multiparametric MRI for renal imaging on clinical systems. Evidence Level: 1 Technical Efficacy: Stage 2 [ABSTRACT FROM AUTHOR]