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Temperature swing adsorption is one of most important means of the enrichment of xenon, and temperature is an important factor affecting adsorbent performance for xenon. In this paper, the dynamic adsorption experimental platform at ultra-low temperatures was designed, based on which the adsorption characteristics of carbon molecular sieve for xenon was studied within the temperature range of -110 ℃ to -60 ℃. The effects of xenon volume fraction, gas flow rate, inlet pressure, and inner diameter of the adsorption column on xenon adsorption performance were analyzed at -110 ℃. The results show that at -110 ℃, the volume fraction of xenon and flow rate have the most significant effects on the dynamic adsorption coefficient of xenon, while the effects of the inlet pressure and the inner diameter of the adsorption column are less than the above two factors within a certain range.

Osteoarthritis (OA) is a painful joint disease that is common among the middle-aged and elderly populations, with an increasing prevalence. Therapeutic options for OA are limited, and the pathogenic mechanism of OA remains unclear. The roles of cytokines and signaling pathways in the development of OA is a current research hot spot. Interleukin (IL)-17 is a pleiotropic inflammatory cytokine produced mainly by T helper 17 cells that has established roles in host defense, tissue repair, lymphoid tissue metabolism, tumor progression, and pathological processes of immune diseases, and studies in recent years have identified an important role for IL-17 in the progression of OA. This narrative review focuses on the mechanisms by which IL-17 contributes to articular cartilage degeneration and synovial inflammation in OA and discusses how IL-17 and the IL-17 signaling pathway affect the pathological process of OA. Additionally, therapeutic targets that have been proposed in recent years based on IL-17 and its pathway in OA are summarized as well as recent advances in the study of IL-17 pathway inhibitors and the potential challenges of their use for OA treatment.

Abstract Background Characterizing the synchronous changes of epileptic seizures in different stages between different regions is profound to understand the transmission pathways of epileptic brain network and epileptogenic foci. There is currently no adequate quantitative calculation method for describing the propagation pathways of electroencephalogram (EEG) signals in the brain network from the short and long term. The goal of this study is to explore the innovative method to locate epileptic foci, mapping synchronization in the brain networks based on EEG. Methods Mutual information was used to analyze the short-term synchronization in the full electrodes; while nonlinear dynamics quantifies the statistical independencies in the long –term among all electrodes. Then graph theory based on the complex network was employed to construct a dynamic brain network for epilepsy patients when they were awake, asleep and in seizure, analyzing the changing topology indexes. Results Epileptic network achieved a high degree of nonlinear synchronization compared to awake time. and the main path of epileptiform activity was revealed by searching core nodes. The core nodes of the brain network were in connection with the onset zone. Seizures always happened with a high degree of distribution. Conclusions This study indicated the path of EEG synchronous propagation in seizures, and core nodes could locate the epileptic foci accurately in some epileptic patients.

Commotio cordis （CC） is the acute death caused by the cardiac rhythm disorder after a sudden blunt external force to the precordium of a healthy person without previous heart disease. As one type of violent heart damage, CC is rare with relatively small external force and sudden death, therefore causing disputes. This paper reviews the epidemiology, mechanisms and the key points in forensic identification of CC, discusses the identification and antidiastole of CC, myocardial contusion, sudden cardiac death and death from inhibition, and provides assistance to forensic pathologists to identify such causes of death.

This study explored the effects of long-term bathing in radon hot springs on oxidative damage and antioxidation function in humans. In this study, blood was collected from residents in the Pingshan radon hot spring area (RHSA), Jiangzha RHSA, and control area (CA). 8-Hydroxydeoxyguanosine (8-OHdG) and thioredoxin reductase (TrxR), representing oxidation and antioxidant levels, respectively, were analyzed as indices. Compared to the CA group, the RHSA group in the Pingshan and Jiangzha areas showed significantly decreased 8-OHdG levels ( Z = −3.350, −3.316, respectively, P < .05) and increased TrxR levels ( Z = 2.394, 3.773, respectively, P < .05). The RHSA and CA groups in Jiangzha had lower levels of TrxR and 8-OHdG compared to those in Pingshan. This finding may be related to the different radon concentration levels, bathing time and other factors. Results suggested that long-term bathing in radon hot spring may activate antioxidant function and reduce oxidative damage in the body.

The suboesophageal ganglion (SOG), which connects to both central and peripheral nerves, is the primary taste-processing center in the Drosophila’s brain. The neural oscillation in this center may be of great research value yet it is rarely reported. This work aims to determine the amount of unique information contained within oscillations of the SOG and describe the variability of these patterns. The approximate entropy (ApEn) values of the spontaneous membrane potential (sMP) of SOG neurons were calculated in this paper. The arithmetic mean (MA), standard deviation (SDA) and the coefficient of variation (CVA) of ApEn were proposed as the three statistical indicators to describe the irregularity and complexity of oscillations. The hierarchical clustering method was used to classify them. As a result, the oscillations in SOG were divided into five categories, including: (1) Continuous spike pattern; (2) Mixed oscillation pattern; (3) Spikelet pattern; (4) Busting pattern and (5) Sparse spike pattern. Steady oscillation state has a low level of irregularity, and vice versa. The dopamine stimulation can distinctly cut down the complexity of the mixed oscillation pattern. The current study provides a quantitative method and some critera on mining the information carried in neural oscillations.

Purpose: The number of international students in China has been increasing over the recent decades. The rapid expansion of the international student population aroused concerns over the capacity of Chinese universities to fulfill international students' expectations toward academic development. Perceiving student learning experiences as an important indicator of higher education quality, this article focuses on undergraduate international students in China and discusses their learning experiences from three perspectives, i.e., perceived learning environment, academic engagement, and student development. Design/Approach/Methods: Data were generated by a survey involving 1,428 international students studying for an undergraduate degree at 34 universities in China. Descriptive statistics were calculated, and the structural equation model was applied. Findings: The research showed the respondents' academic development in a range of skills and abilities, while their learning experiences at the Chinese higher education institutions (HEIs) were largely unsatisfactory. Specifically, the research revealed the respondents' moderate-to-low-level evaluation of perceived classroom learning environment, their low level of academic engagement, and the significant negative influences of the perceived classroom learning environment and academic engagement on their academic development. Originality/Value: The analysis holds implications for the enhancement of positive learning experiences of international undergraduate students in China and the improvement of the quality of Chinese international student education. Student learning experiences are an important indicator of the quality of college teaching. Drawing on the data generated by a survey involving 1,428 international students studying for an undergraduate degree at 34 universities in China, this presentation explores the characteristics of international undergraduate students' learning experiences in Chinese universities and analyzes the relationship among the three dimensions of their learning experiences.