Analysis of Burnout and Self-Efficacy of Teachers of Physical Education During Online Learning.

ABSTRACT: The research is based on interpretive phenomenological analysis and the interview method. The sample involved 100 secondary school students from five to nine grades and eight physical education teachers. All participants studied the proposed physical education program in-person for one academic semester, as well as studied the program online for one academic semester. It was found that online learning was viewed unfavorably by 87% of teachers. However, 65% of participants admitted that learning opportunities were limited, and they experienced difficulties with appropriate lesson content, equipment, and space to foster a positive learning environment and a productive working context. In addition, marginalization occurred as parents and students paid more attention to other subject areas except for physical education. The research suggested that the majority of teachers (89%) were looking forward to full-time and face-to-face physical education training because they lacked personal relationships and interaction with their students.

An empirical application of the consumer-based authenticity model in heritage tourism of the George Town historic district, Penang, Malaysia.

The primary objective of this paper is to investigate the specific application of the Consumer-based Model of Authenticity (C-BA) in historic districts. The paper building upon the C-BA model and examines the direct effects between the variables, as well as the mediating role of tourists' involvement, and place attachment in the connection between, authenticity (encompassing object-based authenticity and existential authenticity) and revisit intention. This study applied the C-BA model to the context of heritage tourism within a historic district. The analysis utilized structural equation modelling and involved 394 samples. The findings indicate that authenticity, influences tourists' intentions to return from a dual perspective. The results reveal that object-based authenticity mediates the relationship between tourists' involvement and satisfaction, while existential authenticity mediates the connection between place attachment and satisfaction. The study suggests that stakeholders ought to prioritize the preservation of the objective authenticity of the historic district and the provision of high-quality activity experiences.

A flexible capacitive pressure sensor with a hybrid porous PDMS/SA hydrogel structure for touch/pain detection.

Exploring highly sensitive flexible electronic skins (e-skins) that can mimic the tactile and pain perception of human skin is an important prerequisite for achieving biomimetic robots and intelligent prosthetics. However, it is still difficult to realize both touch and pain sensing using a single pressure sensor. Herein, a novel flexible capacitive pressure sensor that can distinguish noxious pressure stimuli is proposed for detecting touch and pain, which is composed of a porous polydimethylsiloxane (PDMS) skeleton and a sodium alginate (SA) hydrogel core. The sensor employs two different working mechanisms depending on the range of external pressure, determining the mechanism of operation for transducing the sense of touch or pain. Such a unique structural design plays a crucial role in enhancing pain perception, leading to maximum sensitivity (14.25 kPa-1) in a large pressure regime (up to 400 kPa) and an adjustable pressure threshold. Moreover, the sensor also exhibits a fast response (45 ms) and recovery speed (70 ms), ensuring a sufficiently fast response to noxious pressure stimuli. Finally, we demonstrate the capabilities of a robotic hand based on the pressure sensor for precisely detecting both touch and pain, which shows great promise in developing intelligent robots and prosthetic limbs to prevent possible damage under external noxious stimuli.

Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.

BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College student, especially freshmen, are particularly susceptible to experiencing intense mental stress reactions during a pandemic. We aimed to identify stable and intervenable variables including academic, relationship and economic factors, and focused on their impact on mental health severity during the pandemic period. METHODS: We innovatively combined diverse machine learning methods, including XGBoost, SHAP, and K-means clustering, to predict the mental health severity of college freshmen. A total of 3281 college freshmen participated in the research. Discriminant analyses were performed on groups of participants with depression (PHQ-9), anxiety (GAD-7). All characteristic variables were selected based on their importance and interventionability. Further analyses were conducted with selected features to determine the optimal variable combination. RESULTS: XGBoost analysis revealed that relationship factors exhibited the highest predictive capacity for mental health severity among college freshmen (SHAPFamily Relationship = 0.373; SHAPPeer Support = 0.236). The impact of academic factors on college freshmen's mental health severity depended on their intricate interplay with relationship factors, resulting in complex interactive effects. These effects were heterogeneous among different subgroups. CONCLUSIONS: The proposed machine learning approach utilizing XGBoost, SHAP and K-means clustering methods provides a valuable tool to gain insights into the relative contributions of academic, relationship and economic factors to Chinese college freshmen's mental health severity during the COVID-19 pandemic. The result guide the development of targeted intervention measures tailored to meet specific requirements within each subgroup.

The usefulness of peri-trigger female reproductive hormones (delta-FRH) in predicting oocyte maturation in normal ovarian reserve patients who received in vitro fertilization-embryo transfer: a retrospective study.

Objectives: To evaluate the efficacy of peri-trigger female reproductive hormones (FRHs) in the prediction of oocyte maturation in normal ovarian reserve patients during the in vitro fertilization-embryo transfer (IVF-ET) procedure. Materials and Methods: A hospital database was used to extract data on IVF-ET cases from January 2020 to September 2021. The levels of female reproductive hormones, including estradiol (E2), luteinizing hormone (LH), progesterone (P), and follicle-stimulating hormone (FSH), were initially evaluated at baseline, the day of the trigger, the day after the trigger, and the day of oocyte retrieval. The relative change in E2, LH, P, FSH between time point 1 (the day of trigger and baseline) and time point 2 (the day after the trigger and day on the trigger) was defined as E2_RoV1/2, LH_RoV1/2, P_RoV1/2, and FSH_RoV1/2, respectively. Univariable and multivariable regression were performed to screen the peri-trigger FRHs for the prediction of oocyte maturation. Results: A total of 118 patients were enrolled in our study. Univariable analysis revealed significant associations between E2_RoV1 and the rate of MII oocytes in the GnRH-agonist protocol group (p < 0.05), but not in the GnRH-antagonist protocol group. Conversely, P_RoV2 emerged as a potential predictor for the rate of MII oocytes in both protocol groups (p < 0.05). Multivariable analysis confirmed the significance of P_RoV2 in predicting oocyte maturation rate in both groups (p < 0.05), while the association of E2_RoV1 was not significant in either group. However, within the subgroup of high P_RoV2 in the GnRH-agonist protocol group, association was not observed to be significant. The C-index was 0.83 (95% CI [0.73-0.92]) for the GnRH-agonist protocol group and 0.77 (95% CI [0.63-0.90]) for the GnRH-antagonist protocol group. The ROC curve analysis further supported the satisfactory performance of the models, with area under the curve (AUC) values of 0.79 for the GnRH-agonist protocol group and 0.81 for the GnRH-antagonist protocol group. Conclusions: P_RoV2 showed significant predictive value for oocyte maturation in both GnRH-agonist and GnRH-antagonist protocol groups, which enhances the understanding of evaluating oocyte maturation and inform individualized treatment protocols in controlled ovarian hyperstimulation during IVF-ET for normal ovarian reserve patients.

Engineering of molecularly imprinted cavity within 3D covalent organic frameworks: An innovation for enhanced extraction and removal of microcystins.

The scarcity of selective adsorbents for efficient extraction and removal of microcystins (MCs) from complex samples greatly limits the precise detection and effective control of MCs. Three-dimensional covalent organic frameworks (3D COFs), characterized by their large specific surface areas and highly ordered rigid structure, are promising candidates, but suffer from lack of specific recognition. Herein, we design to engineer molecularly imprinted cavities within 3D COFs via molecularly imprinted technology, creating a novel adsorbent with exceptional selectivity, kinetics and capacity for the efficient extraction and removal of MCs. As proof-of-concept, a new CC bond-containing 3D COF, designated JNU-7, is designed and prepared for copolymerization with methacrylic acid, the pseudo template L-arginine and ethylene dimethacrylate to yield the JNU-7 based molecularly imprinted polymer (JNU-7-MIP). The JNU-7-MIP exhibits a great adsorption capacity (156 mg g-1) for L-arginine. Subsequently, the JNU-7-MIP based solid-phase extraction coupled with high performance liquid chromatography-mass spectrometry achieves low detection limit of 0.008 ng mL-1, wide linear range of 0.025-100 ng mL-1, high enrichment factor of 186, rapid extraction of 10 min, and good recoveries of 92.4%-106.5% for MC-LR. Moreover, the JNU-7-MIP can rapidly remove the MC-LR from 1 mg L-1 to levels (0.26-0.35 µg L-1) lower than the WHO recommended limit for drinking water (1 µg L-1). This work reveals the considerable potential of 3D COF based MIPs as promising adsorbents for the extraction and removal of contaminants in complex real samples.

Recent advances in membrane technologies applied in oil-water separation.

Effective treatment of oily wastewater, which is toxic and harmful and causes serious environmental pollution and health risks, has become an important research field. Membrane separation technology has emerged as a key area of investigation in oil-water separation research due to its high separation efficiency, low costs, and user-friendly operation. This review aims to report on the advances in the research of various types of separation membranes around emulsion permeance, separation efficiency, antifouling efficiency, and stimulus responsiveness. Meanwhile, the challenges encountered in oil-water separation membranes are examined, and potential research avenues are identified.

Size-Dependent Deformation and Competition H-Bond Site-Induced Individual Fluorescence Response of a Single-Crystal Three-Dimensional Covalent Organic Framework.

Understanding the individual fluorescence response mechanism of covalent organic frameworks (COFs) at a single-crystal level is of great significance for the rational design of COF-based microsensors but unreachable because all previous COF-based sensors are performed with average fluorescence response behavior of various sized polycrystalline COFs. Herein, we design to explore the fluorescence response of a monodisperse single-crystal COF and further reveal the individual heterogeneity of the response mechanism. Three-dimensional single-crystal COF-301 (SCOF-301) with an intramolecular H-bond-induced excited-state intramolecular proton-transfer effect is selected as a proof-of-concept SCOF. With ethanol, benzene, and ammonia as model analytes, three different deformation and competition H-bond site-induced fluorescence response mechanisms related to crystal size are revealed. Small single particles of SCOF-301 (SSCOF-301) exhibit a more flexible structure, leading to the dominant role of deformation in the fluorescence response of small-sized SSCOF-301. The decreasing flexibility of SSCOF-301 with the increase of crystal size results in involvement of competition of the H-bond site to the fluorescence response besides deformation. Further increase of the crystal size makes the large-sized SSCOF-301 difficult to deform; thus, the competition of the H-bond site dominates the fluorescence response. This work provides a deep understanding of the individual fluorescence response mechanism of COFs to guide the design of a functional COF sensor with suitable size and mechanism for different structural analytes.

Efficacy and safety of cryoablation combined with lenvatinib and anti-PD-1 monoclonal antibody in treatment of unresectable hepatocellular carcinoma / 临床肝胆病杂志

ObjectiveTo investigate whether anti-PD-1 monoclonal antibody can improve the efficacy and safety of cryoablation combined with lenvatinib in the treatment of unresectable hepatocellular carcinoma （HCC）. MethodsA retrospective analysis was performed for 232 patients with unresectable HCC who were treated at The Fifth Medical Center of Chinese PLA General Hospital from January 2018 to December 2022， among whom 128 received cryoablation combined with lenvatinib （double combination） and 104 received cryoablation combined with lenvatinib and anti-PD-1 monoclonal antibody （triple combination）. Propensity score matching was performed at a ratio of 1∶1， and finally there were 86 patients in each group. The two groups were evaluated in terms of objective response rate （ORR）， disease control rate （DCR）， overall survival （OS）， progression-free survival （PFS）， and adverse events （AEs）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Survival curves were plotted， and the Kaplan-Meier method was used to calculate the survival rate of patients in both groups， while the log-rank test was used for comparison between the two groups. The Cox regression model was used to calculate hazard ratio （HR） and 95% confidence interval （CI） and perform the univariate and multivariate analyses of influencing factors for prognosis. ResultsThe median follow-up time was 28 months， and there were 33 deaths （38.0%） in the triple combination group and 40 deaths （46.0%） in the double combination group. Compared with the double combination group， the triple combination group had significantly higher ORR （35.6% vs 14.5%， P=0.008） and DCR （86.1% vs 64.1%， P=0.003）. OS and PFS in the triple combination group were significantly higher than those in the double combination group （P=0.045 and 0.026）. The univariate and multivariate Cox proportional-hazards regression model analyses showed that treatment regimen （HR=0.60， P=0.038） and alpha-fetoprotein level （HR=2.37， P=0.001） were independent risk factors for OS， and treatment regimen （HR=0.65， P=0.025）， diabetes mellitus （HR=1.94， P=0.005）， whether or not to have received local treatment （HR=0.63， P=0.014）， and distant metastasis （HR=0.58， P=0.009） were independent risk factors for PFS. There was no significant difference in the incidence rate of AEs between the two groups （P>0.05）. ConclusionFor patients with unresectable HCC， the triple combination of cryoablation， lenvatinib， and anti-PD-1 monoclonal antibody significantly improves the treatment outcome and survival of patients compared with the double combination of cryoablation and lenvatinib， without increasing AEs， which provides a clinical basis for optimizing the treatment regimen for unresectable HCC.

Contrast-enhanced ultrasound evaluation of renal perfusion before angioplasty and its predictive value for hypertension.

BACKGROUND: Atherosclerotic renal artery stenosis (ARAS) is a common disease in the elderly population. OBJECTIVE: The aim was to develop a contrast-enhanced ultrasound (CEUS)-based model for predicting post-angioplasty improvement in hypertension in patients with severe ARAS. METHODS: Thirty-five patients with severe ARAS (⩾ 70%) were included in this study, and 42 renal arteries received percutaneous transluminal renal arterial stenting. An optimal integral formula was developed from pre-interventional color-coded duplex sonography (CCDS) and CEUS parameters using least absolute shrinkage and selection operator (LASSO) regression and receiver operating characteristic (ROC) curve analysis. A model for predicting short-term hypertension improvement was established using the integral formula and clinical risk factors. Bootstrapping was used for internal validation. RESULTS: Two integral formulas, LASSO.CCDS and LASSO.CEUS, were established. ROC curves of the two integral formulas showed that LASSO.CEUS was the better formula for predicting hypertension improvement (AUC 0.816, specificity 78.6%). Univariate and multivariate regression analyses showed that duration of hypertension (OR 0.841, P= 0.027), diabetes (OR = 0.019, P= 0.010), and LASSO.CEUS (OR 7.641, P= 0.052) were predictors of short-term hypertension improvement after interventional therapy. Using LASSO.CEUS combined with clinical risk factors, the following prediction model was established: logit (short-term improvement in hypertension) = 1.879-0.173 × hypertension duration - 3.961 × diabetes + 2.034 × LASSO.CEUS (AUC 0.939). CONCLUSIONS: The model established using CEUS parameters and clinical risk factors could predict hypertension improvement after interventional therapy, but further research and verification are needed.