BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts betwee...BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts between work and family roles,significantly impacting their professional involvement.The concept of work-family facilitation,highlighting mutual facilitation between work and family domains,has considerable theoretical and practical significance but remains underexplored in this context.This study integrates ecosystem theory,spillover theory,social exchange theory,and two-factor theory to systematically explore the mechanism through which work-family facilitation influences work engagement.Specifically,it investigates the roles of psychological resilience and job satisfaction in this relationship,providing a novel theoretical perspective and empirical evidence.AIM To systematically explore the mechanism through which work-family facilitation influences work engagement among PE teachers.METHODS A cross-sectional questionnaire survey was conducted among 436 PE teachers.Structural equation modeling was used to examine relationships among variables and assess mediating effects.RESULTS Work-family facilitation positively correlated with psychological resilience,job satisfaction,and work engagement(r=0.323-0.705,P<0.001).Psychological resilience and job satisfaction fully mediated the relationship between work-family facilitation and work engagement,demonstrating a significant chain mediation effect.CONCLUSION This study confirms that promoting work-family facilitation enhances psychological resilience and job satisfaction,thereby significantly boosting work engagement among PE teachers.These findings underline the importance of targeted interventions to enhance work-family resources,psychological resilience,and job satisfaction,contributing to theoretical advancements and practical implications for educational management.展开更多
BACKGROUND Physical activity(PA)is a key contributor to the neurocognitive and psychological development of children and adolescents.With the rapid integration of digital technologies in educational and recreational c...BACKGROUND Physical activity(PA)is a key contributor to the neurocognitive and psychological development of children and adolescents.With the rapid integration of digital technologies in educational and recreational contexts,technology-enhanced PA(TEPA)interventions have emerged as promising tools for promoting mental and cognitive health.However,the effectiveness of various TEPA modalities—such as virtual reality(VR),mobile applications,and biofeedback systems—remains unclear.Prior findings are fragmented across systematic reviews with inconsistent methodologies.This umbrella review was conducted to synthesize current evidence and evaluate whether specific TEPA modalities yield differential benefits.We hypothesized that TEPA interventions with immersive and selfregulatory features provide greater enhancements in executive function(EF),cognitive function(CF),and mental health(MH)than passive or minimally interactive formats.AIM To determine the effects of TEPA interventions and modality-specific characteristics on EF,CF,and MH outcomes in children and adolescents.METHODS An umbrella review of systematic reviews and meta-analyses was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines.Five databases(PubMed,Web of Science,EMBASE,EBSCOhost,and Cochrane Library)were searched up to March 2025.Eligible reviews included participants aged≤18 years,assessed TEPA interventions,and reported EF,CF,or MH outcomes.Methodological quality was assessed using A Measurement Tool to Assess Systematic Reviews 2.Data synthesis was stratified by intervention modality,and heterogeneity was evaluated using the I^(2)statistic.RESULTS A total of 11 systematic reviews and meta-analyses were included.Interventions using VR(2/2),game-based formats(2/2),biofeedback(2/2),and multicomponent programs(1/1)showed consistent evidence of improvements in EF and MH(e.g.,EF:6.92±3.86 vs 3.61±1.67,P<0.001).App-based interventions(3/3)demonstrated mixed or modest effects,while augmented reality-based formats showed limited efficacy.MH outcomes were most frequently improved(9/11 reviews),followed by EF(6/11 reviews)and CF(5/11 reviews).Heterogeneity ranged from moderate to high(I^(2)=42%-78%)across modalities.CONCLUSION TEPA significantly improves MH and selectively enhances executive and CF in youth.Immersive,interactive,and biofeedback-driven modalities are particularly effective.展开更多
Most fish exhibit remarkable morphological diversity,which is often influenced by genetic variation and ecological pressures.Consequently,these are the outcomes of organisms’responses to their environment.Meanwhile,m...Most fish exhibit remarkable morphological diversity,which is often influenced by genetic variation and ecological pressures.Consequently,these are the outcomes of organisms’responses to their environment.Meanwhile,modern morphometrics can quantify shape variation within species of the same group.This study aims to determine the body shape variation of Glossogobius giuris from Lake Mainit,Agusan Del Norte,Philippines.60 adult,uniform-sized fish samples were collected and subjected to standardized laboratory procedures.Further,the samples were digitized for 16 homologous landmark points and loaded into Symmetry Asymmetry Geometric Data(SAGE)Software.Across the tested factors—individuals,sides,and individual x sides—result shows that shape variations among individuals were highly significant(F=2.1045,p<0.0001),along with among males(F=3.2711,p<0.0001).Females exhibited higher Fluctuating Asymmetry(FA)(F=18.99,p<0.0001)compared to males(F=7.0964,p<0.0001).It suggests morphological shape differences across the sexes,and the shape variation observed could be a response to environmental perturbations.Shape variations were associated with swimming,food hunting,and predator defense.Moreover,Principal Component Analysis(PCA)demonstrates higher scores of FA in females(81.96%)than in males(74.76%).It was noticed that females had a high fluctuating asymmetry.It might be due to various physiological and ecological pressures compared to males.The observed levels of directional and fluctuating asymmetry in males and females,respectively,may indicate sex-linked morphological and developmental processes,which are important to consider in ecological or evolutionary contexts.Thus,utilizing geometric morphometrics can depict subtle differences across the same populations.展开更多
Based upon the thiophene-2,5-dicarboxylic acid(H_(2)Tdc),a novel[Sc_(3)(μ_(2)-OH)_(3)(CO_(2))_(4)O_(6)]n inorganic chain-based Sc-MOF with decorated nitrate ions,{[Sc_(3)(OH)_(2)(Tdc)_(3)(NO_(3))]⋅H_(2)O}_(∞)(AEU-1;...Based upon the thiophene-2,5-dicarboxylic acid(H_(2)Tdc),a novel[Sc_(3)(μ_(2)-OH)_(3)(CO_(2))_(4)O_(6)]n inorganic chain-based Sc-MOF with decorated nitrate ions,{[Sc_(3)(OH)_(2)(Tdc)_(3)(NO_(3))]⋅H_(2)O}_(∞)(AEU-1;AEU for Army Engineering University of PLA),was synthesized,which shows good water and chemical stabilities.Significantly,due to channel constriction accompanied by the polar window caused by introducing nitrate ions,AEU-1 exhibits high C_(2)H_(6)/C_(2)H_(4)adsorption selectivity comparable to many famous C_(2)H_(6)-selective MOFs,making it a promising candidate for the purification of methanol-to-olefin(MTO)products.Furthermore,theoretical investigations reveal that the introduced nitrate ions in AEU-1 as the main adsorption sites could provide strong interactions between the framework and C2H6/C3H6 in the full-contacting mode,leading to an increase in the adsorption enthalpies(Qst)of C_(2)H_(6)and C_(3)H_(6),and thus further improving the C_(2)H_(6)/C_(2)H_(4)and C_(3)H_(6)/C_(2)H_(4)adsorption selectivity.Our work could open up a new avenue for constructing MOFs with inorganic polar moieties as adsorption sites for one-step C_(2)H_(4)purification and C3H6 recovery from MTO mixtures with high selectivity.展开更多
Starting from the inheritance and promotion of Chinese life philosophy and traditional Chinese medicine wisdom by Chinese narrative medicine practice,this paper discusses the inheritance and echo relationship between ...Starting from the inheritance and promotion of Chinese life philosophy and traditional Chinese medicine wisdom by Chinese narrative medicine practice,this paper discusses the inheritance and echo relationship between the“close textual reading ability”in Chinese narrative medicine practice and the“four diagnoses”in traditional Chinese medicine wisdom,narrative mediation and the“mind-body holistic philosophy”in traditional Chinese medicine,and narrative wisdom and Dao Sheng in Chinese life philosophy.Meanwhile,by analyzing the stories of contemporary doctors’practice of narrative intelligence,this paper expounds that Chinese narrative medicine is a new model of medical education and clinical practice based on the absorption of Chinese traditional life wisdom and the essence of traditional Chinese medicine culture,and the integration of western narrative medicine concepts.It also advocates Chinese scholars to actively build the discipline of“narrative traditional Chinese medicine,”constantly translate the academic achievements to foreign countries,and create a good narrative ecology of traditional Chinese medicine.展开更多
This paper focuses on an optimal reinsurance and investment problem for an insurance corporation which holds the shares of an insurer and a reinsurer.Assume that the insurer can purchase reinsurance from the reinsurer...This paper focuses on an optimal reinsurance and investment problem for an insurance corporation which holds the shares of an insurer and a reinsurer.Assume that the insurer can purchase reinsurance from the reinsurer,and that both the insurer and the reinsurer are allowed to invest in a risk-free asset and a risky asset which are governed by the Heston model and are distinct from one another.We aim to find the optimal reinsuranceinvestment strategy by maximizing the expected Hyperbolic Absolute Risk Aversion(HARA)utility of the insurance corporation’s terminal wealth,which is the weighted sum of the insurer’s and the reinsurer’s terminal wealth.The Hamilton-Jacobi-Bellman(HJB)equation is first established.However,this equation is non-linear and is difficult to solve directly by any ordinary method found in the existing literature,because the structure of this HJB equation is more complex under HARA utility.In the present paper,the Legendre transform is applied to change this HJB equation into a linear dual one such that the explicit expressions of optimal investment-reinsurance strategies for-1≤ρi≤1 are obtained.We also discuss some special cases in a little bit more detail.Finally,numerical analyses are provided.展开更多
In this paper, we report a rapid synthesis of piezoelectric ZnO-nanostructures and fabrication of the nanostructures- based power-generators demonstrating an energy conversion from an environmental mechanical/ultrason...In this paper, we report a rapid synthesis of piezoelectric ZnO-nanostructures and fabrication of the nanostructures- based power-generators demonstrating an energy conversion from an environmental mechanical/ultrasonic energy to an electrical energy. The ZnO nanostructures are grown on a silicon wafer by a modified chemical solution method （CSD, chemical-solution-deposition） with a two-step thermal-oxidation approach. The synthesis process can be completed within 1 h. By varying the mixture-ratio of Zn micro-particles in an oxalic acid solution with 0.75 mol/l concentration in the CSD process, the growth mechanism is well-controlled to synthesize three different types of ZnO-nanostructures （i.e., dandelion-like nanostructures, columnar nanostructures, and nanowires）. Furthermore, through oxidizing at different temperatures in the thermal-oxidation process, the featured geometry of the nanostructures （e.g., the length and diameter of a nanowire） is modified. The geometry, size, morphology, crystallization, and material phase of the modified nanostructures are characterized by scanning electron microscopy and X-ray diffraction. Finally, the nanostructures are used to fabricate several micro power-generators. Through the piezoelectric effect, a maximum current density output of 0.28 μA cm-2 generated by a power-generator under an ultrasonic wave is observed.展开更多
In this study, several ZnO catalysts were prepared using different zinc sources as precursors. The different catalyst mor- phologies obtained were used to degrade photocatalytically a methyl orange (MO) dye solution, ...In this study, several ZnO catalysts were prepared using different zinc sources as precursors. The different catalyst mor- phologies obtained were used to degrade photocatalytically a methyl orange (MO) dye solution, which was used to model wastewater pollution. The precursors, Zn(CH3COO)2, ZnCl2 and Zn(NO3)2, were individually added to a solution containing cetyltrimethylammonium bromide (CTAB) and sodium hydroxide (NaOH) for the hydrothermal synthesis of ZnO. After the hydrothermal reaction, the samples of ZnO were filtered, washed, dried at 110?C and calcined at 550?C, resulting in the formation of the rod-like (designated ZnO(I)), the rice-like (designated ZnO(II)) and the granular-like (designated ZnO(III)) catalysts. The catalysts were characterized by X-ray diffraction (XRD), field-emission scanning electron microscope (FE-SEM) and their UV-visible diffuse reflectance spectra (UV-Vis DRS). The results indicate that the photocatalytic degradation of the MO solution, after 60 min of UV irradiation, can reach percentages of 40%, 96% and 99% using the catalysts ZnO(I), ZnO(II) and ZnO(III), respectively. The morphology of the ZnO catalyst had an ap- parent effect on the rate of the photocatalytic degradation of MO. The ZnO(II) and ZnO(III) catalysts have higher S/V ratios and a greater content of oxygen vacancies, resulting in different absorbances of ultraviolet light, which leads to different rates of photocatalytic degradation of MO.展开更多
The heavy ion-acoustic solitary waves(HIASWs) in a magnetized, collisionless, space plasma system(containing dynamical heavy ions and bi-kappa distributed electrons of two distinct temperatures) have been theoreticall...The heavy ion-acoustic solitary waves(HIASWs) in a magnetized, collisionless, space plasma system(containing dynamical heavy ions and bi-kappa distributed electrons of two distinct temperatures) have been theoretically investigated. The Korteweg-de Vries(K-dV), modified K-dV(MK-dV), and higher-order MK-dV(HMK-dV) equations are derived by employing the reductive perturbation method. The basic features of HIASWs(viz. speed, polarity,amplitude, width, etc.) are found to be significantly modified by the effects of number density and temperature of different plasma species, and external magnetic field(obliqueness). The K-dV and HM-Kd V equations give rise to both compressive and rarefactive solitary structures, whereas the MK-dV equation supports only the compressive solitary structures. The implication of our results in some space and laboratory plasma situations are briefly discussed.展开更多
The nonlinear propagation of electrostatic excitations and their multi-dimensional instability in a magnetized, degenerate electron-positron-ion(EPI) plasma system(containing inertial cold positrons, relativistic dege...The nonlinear propagation of electrostatic excitations and their multi-dimensional instability in a magnetized, degenerate electron-positron-ion(EPI) plasma system(containing inertial cold positrons, relativistic degenerate electrons and hot positrons, and negatively charged immobile heavy ions) are theoretically investigated. The reductive perturbation method is employed to derive the Zakharov–Kuznetsov equation which admits a localized solitary wave solution for small but finite amplitude limit, and the multi-dimensional instability of the positron acoustic solitary waves(PASWs) is studied by the small-k perturbation expansion method. It is found that the basic characteristics(viz. phase speed, amplitude, width) of the PASWs are significantly affected by the degree of obliqueness, relativistic degeneracy,and plasma particle number densities. The instability criterion and its growth rate, which are depending on the magnetic field and the propagation directions of both the PASWs, and their perturbation modes are discussed. The present analysis can be helpful in understanding the nonlinear phenomenon in dense astrophysical as well as space plasma systems,especially in pulsar environments.展开更多
This study aimed to investigate the link between the exposure to intimate partner violence(IPV),core self-evaluations(CSE),and psychological adaptation of Chinese adolescents,through analysis of the results from the S...This study aimed to investigate the link between the exposure to intimate partner violence(IPV),core self-evaluations(CSE),and psychological adaptation of Chinese adolescents,through analysis of the results from the Survey of Children’s Exposure to Domestic Violence Scale,Core Self-Evaluations Scale,and Strengths and Difficulties Questionnaire,involving a total of 597 Chinese middle school students.It is indicated that the exposure to IPV is positively correlated with lower levels of psychological adaptation and CSE,and CSE is positively correlated with higher levels of psychological adaptation.Mediation analysis revealed that CSE partially mediated the association between the exposure to IPV and psychological adaptation.These results suggest that educators and parents should help adolescents tackle their emotional and behavioral problems by reducing the risk of IPV exposure and increasing their CSE.展开更多
Generally,conventional methods for anomaly detection rely on clustering,proximity,or classification.With themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the ...Generally,conventional methods for anomaly detection rely on clustering,proximity,or classification.With themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques inefficient.This research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured data.Every node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph structures.Due to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and healthcare.Anomaly detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of anomalies.The Graph-based deep learning networks are designed to predict unknown objects and outliers.In our case,they detect unusual objects in the form of malicious nodes.The edges between nodes represent a relationship of nodes among each other.In case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an anomaly.The encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible outcome.Results show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance videos.Performing autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public places.The suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniques.展开更多
This paper mainly discusses the power and solidarity among participants in the community correction discourse from sociolinguistic perspective by adopting the methodology of conversation analysis.Through the comparati...This paper mainly discusses the power and solidarity among participants in the community correction discourse from sociolinguistic perspective by adopting the methodology of conversation analysis.Through the comparative study of the steps of Initial Evaluation and Entry Ceremony in community correction,this paper analyses the power and solidarity in the features of adjacency pair and turn-taking,and finds that the step of Initial Evaluation is relatively negotiable and represents the social relationship of solidarity,while the step of Entry Ceremony stresses more on social distance and power relationship.The reasons that cause the power and solidarity in the Initial Evaluation and the Entry Ceremony from the perspective of social identity and social purposes are also explored.展开更多
Quantum entanglement represents a fundamental feature of quantum many-body systems. We combine tripartite entanglement with quantum renormalization group theory to study the quantum critical phenomena. The Ising model...Quantum entanglement represents a fundamental feature of quantum many-body systems. We combine tripartite entanglement with quantum renormalization group theory to study the quantum critical phenomena. The Ising model and the Heisenberg X X Z model in the presence of the Dzyaloshinskii–Moriya interaction are adopted as the research objects. We identify that the tripartite entanglement can signal the critical point. The derivative of tripartite entanglement shows singularity as the spin chain size increases. Furthermore, the intuitive scaling behavior of the system selected is studied and the result allows us to precisely quantify the correlation exponent by utilizing the power law.展开更多
Hydrogen production through steam reforming of ethanol (SRE) over Mg modified Co-based catalysts supported on mesoporous SBA-15 was studied herein to evaluate the catalytic activity and the behavior of coke deposition...Hydrogen production through steam reforming of ethanol (SRE) over Mg modified Co-based catalysts supported on mesoporous SBA-15 was studied herein to evaluate the catalytic activity and the behavior of coke deposition. The CoyMgx/SBA-15 catalysts are obtained according to the steps of consecutive impregnation of Mg (x = 5 and 10 wt%) to be incorporated on SBA-15 and then follow the loading of Co (y = 10 and 20 wt%) using the incipient wetness impregnation method. The catalysts are characterized by using X-ray diffraction (XRD), temperature programmed reduction (TPR), transmission electron microscopy (TEM) and BET techniques. Also, the spent catalysts are further characterized by using XRD and TEM. The catalytic activity of the SRE is evaluated in a fixed-bed reactor under 22,000 h-1 GHSV and with an H2O/EtOH molar ratio of 13. All the CoyMgx/SBA-15 catalysts present a mesoporous structure, even after the SRE reaction. The optimum catalyst of Co20Mg5/SBA-15-H650 comes from the high loading of Co and high reduction temperature pretreatment, which show a high catalytic activity and stability at 550°C with a hydrogen yield (YH2) up to 5.78 and CO selectivity around 3.10%.展开更多
Artificial Intelligence (AI) has emerged as a transformative force across industries, with notable applications in sports coaching. Its capabilities, ranging from machine learning to real-time feedback systems, enable...Artificial Intelligence (AI) has emerged as a transformative force across industries, with notable applications in sports coaching. Its capabilities, ranging from machine learning to real-time feedback systems, enable coaches to process complex data and enhance decision-making. This study investigates the integration of AI into sports coaching, emphasizing its potential to revolutionize training efficiency, optimize athlete performance, and reduce injury risks. However, AI implementation still faces challenges such as technical complexity, budgetary constraints, data privacy and ethical considerations, and psychological resistance. Research Objective: The purpose of this study is to explore the efficient use of AI in sport coaching, to propose strategies to address the challenges encountered in implementation, and to provide implementation guidelines for sport organizations. Research Methodology: This paper provides an in-depth analysis of the application of AI in data analysis and training adjustments, injury prediction, and personalized training regimens through literature review and case studies, and proposes effective implementation strategies in combination with actual cases. Findings: The study found that AI technology has significant advantages in enhancing training science and effectiveness, such as real-time data analysis tools and machine learning models that can improve training personalization and science, and AI-driven biomechanical analysis and injury prediction systems that can help to reduce the risk of injuries and improve safety for athletes. However, technical complexity, financial pressures, and data privacy concerns limit their use in small and medium-sized organizations. Research Conclusion: Successful implementation of AI technology in sports coaching requires a multi-layered strategy that includes ongoing training, strategic partnerships, and phased introduction. Future research should focus on combining with emerging technologies such as virtual reality and augmented reality, as well as ensuring the sustainability of the technology in long-term application, realizing deep integration with coaching expertise, and building a comprehensive and efficient training system.展开更多
Let D(n)be the finite dimensional non-pointed and non-semisimple Hopf algebra,which is a quotient of a prime Hopf algebras of GK-dimension one for an odd number n>1.In this paper,we investigate the structure of Yet...Let D(n)be the finite dimensional non-pointed and non-semisimple Hopf algebra,which is a quotient of a prime Hopf algebras of GK-dimension one for an odd number n>1.In this paper,we investigate the structure of Yetter-Drinfeld simple modules over D(n)and give iso-classes of them.展开更多
We investigate the role of quantum correlation around the quantum phase transitions by using quantum renormalization group theory. Numerical analysis indicates that quantum correlation as well as quantum nonlocality c...We investigate the role of quantum correlation around the quantum phase transitions by using quantum renormalization group theory. Numerical analysis indicates that quantum correlation as well as quantum nonlocality can efficiently detect the quantum critical point in the two-dimensional XY systems. The nonanalytic behavior of the first derivative of quantum correlation is observed at the critical point as the size of the model increases. Furthermore, we discuss the quantum correlation distribution in this system based on the square of concurrence（SC） and square of quantum discord（SQD）. The monogamous properties of SC and SQD are obtained. Particularly, we prove that the quantum critical point can also be achieved by monogamy score.展开更多
A new method creating depth information for 2D/3D conversion was proposed. The distance between objects is determined by the distances between objects and light source position which is estimated by the analysis of th...A new method creating depth information for 2D/3D conversion was proposed. The distance between objects is determined by the distances between objects and light source position which is estimated by the analysis of the image. The estimated lighting value is used to normalize the image. A threshold value is determined by some weighted operation between the original image and the normalized image. By applying the threshold value to the original image, background area is removed. Depth information of interested area is calculated from the lighting changes. The final 3D images converted with the proposed method are used to verify its effectiveness.展开更多
A new method for automatic salient object segmentation is presented.Salient object segmentation is an important research area in the field of object recognition,image retrieval,image editing,scene reconstruction,and 2...A new method for automatic salient object segmentation is presented.Salient object segmentation is an important research area in the field of object recognition,image retrieval,image editing,scene reconstruction,and 2D/3D conversion.In this work,salient object segmentation is performed using saliency map and color segmentation.Edge,color and intensity feature are extracted from mean shift segmentation(MSS)image,and saliency map is created using these features.First average saliency per segment image is calculated using the color information from MSS image and generated saliency map.Then,second average saliency per segment image is calculated by applying same procedure for the first image to the thresholding,labeling,and hole-filling applied image.Thresholding,labeling and hole-filling are applied to the mean image of the generated two images to get the final salient object segmentation.The effectiveness of proposed method is proved by showing 80%,89%and 80%of precision,recall and F-measure values from the generated salient object segmentation image and ground truth image.展开更多
文摘BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts between work and family roles,significantly impacting their professional involvement.The concept of work-family facilitation,highlighting mutual facilitation between work and family domains,has considerable theoretical and practical significance but remains underexplored in this context.This study integrates ecosystem theory,spillover theory,social exchange theory,and two-factor theory to systematically explore the mechanism through which work-family facilitation influences work engagement.Specifically,it investigates the roles of psychological resilience and job satisfaction in this relationship,providing a novel theoretical perspective and empirical evidence.AIM To systematically explore the mechanism through which work-family facilitation influences work engagement among PE teachers.METHODS A cross-sectional questionnaire survey was conducted among 436 PE teachers.Structural equation modeling was used to examine relationships among variables and assess mediating effects.RESULTS Work-family facilitation positively correlated with psychological resilience,job satisfaction,and work engagement(r=0.323-0.705,P<0.001).Psychological resilience and job satisfaction fully mediated the relationship between work-family facilitation and work engagement,demonstrating a significant chain mediation effect.CONCLUSION This study confirms that promoting work-family facilitation enhances psychological resilience and job satisfaction,thereby significantly boosting work engagement among PE teachers.These findings underline the importance of targeted interventions to enhance work-family resources,psychological resilience,and job satisfaction,contributing to theoretical advancements and practical implications for educational management.
基金Supported by the 2025 Undergraduate Research Project of the Shandong Society for Innovation and Development in Philosophy and Social Sciences,No.Z-DXS25007。
文摘BACKGROUND Physical activity(PA)is a key contributor to the neurocognitive and psychological development of children and adolescents.With the rapid integration of digital technologies in educational and recreational contexts,technology-enhanced PA(TEPA)interventions have emerged as promising tools for promoting mental and cognitive health.However,the effectiveness of various TEPA modalities—such as virtual reality(VR),mobile applications,and biofeedback systems—remains unclear.Prior findings are fragmented across systematic reviews with inconsistent methodologies.This umbrella review was conducted to synthesize current evidence and evaluate whether specific TEPA modalities yield differential benefits.We hypothesized that TEPA interventions with immersive and selfregulatory features provide greater enhancements in executive function(EF),cognitive function(CF),and mental health(MH)than passive or minimally interactive formats.AIM To determine the effects of TEPA interventions and modality-specific characteristics on EF,CF,and MH outcomes in children and adolescents.METHODS An umbrella review of systematic reviews and meta-analyses was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines.Five databases(PubMed,Web of Science,EMBASE,EBSCOhost,and Cochrane Library)were searched up to March 2025.Eligible reviews included participants aged≤18 years,assessed TEPA interventions,and reported EF,CF,or MH outcomes.Methodological quality was assessed using A Measurement Tool to Assess Systematic Reviews 2.Data synthesis was stratified by intervention modality,and heterogeneity was evaluated using the I^(2)statistic.RESULTS A total of 11 systematic reviews and meta-analyses were included.Interventions using VR(2/2),game-based formats(2/2),biofeedback(2/2),and multicomponent programs(1/1)showed consistent evidence of improvements in EF and MH(e.g.,EF:6.92±3.86 vs 3.61±1.67,P<0.001).App-based interventions(3/3)demonstrated mixed or modest effects,while augmented reality-based formats showed limited efficacy.MH outcomes were most frequently improved(9/11 reviews),followed by EF(6/11 reviews)and CF(5/11 reviews).Heterogeneity ranged from moderate to high(I^(2)=42%-78%)across modalities.CONCLUSION TEPA significantly improves MH and selectively enhances executive and CF in youth.Immersive,interactive,and biofeedback-driven modalities are particularly effective.
文摘Most fish exhibit remarkable morphological diversity,which is often influenced by genetic variation and ecological pressures.Consequently,these are the outcomes of organisms’responses to their environment.Meanwhile,modern morphometrics can quantify shape variation within species of the same group.This study aims to determine the body shape variation of Glossogobius giuris from Lake Mainit,Agusan Del Norte,Philippines.60 adult,uniform-sized fish samples were collected and subjected to standardized laboratory procedures.Further,the samples were digitized for 16 homologous landmark points and loaded into Symmetry Asymmetry Geometric Data(SAGE)Software.Across the tested factors—individuals,sides,and individual x sides—result shows that shape variations among individuals were highly significant(F=2.1045,p<0.0001),along with among males(F=3.2711,p<0.0001).Females exhibited higher Fluctuating Asymmetry(FA)(F=18.99,p<0.0001)compared to males(F=7.0964,p<0.0001).It suggests morphological shape differences across the sexes,and the shape variation observed could be a response to environmental perturbations.Shape variations were associated with swimming,food hunting,and predator defense.Moreover,Principal Component Analysis(PCA)demonstrates higher scores of FA in females(81.96%)than in males(74.76%).It was noticed that females had a high fluctuating asymmetry.It might be due to various physiological and ecological pressures compared to males.The observed levels of directional and fluctuating asymmetry in males and females,respectively,may indicate sex-linked morphological and developmental processes,which are important to consider in ecological or evolutionary contexts.Thus,utilizing geometric morphometrics can depict subtle differences across the same populations.
基金supported by the Youth Autonomous Innovation Funding from Army Engineering University of PLA(KYJBJKQTZQ23005)the Basic Discipline Incubation Funding from Army Engineering University of PLA(KYJBJKQTZK23011).
文摘Based upon the thiophene-2,5-dicarboxylic acid(H_(2)Tdc),a novel[Sc_(3)(μ_(2)-OH)_(3)(CO_(2))_(4)O_(6)]n inorganic chain-based Sc-MOF with decorated nitrate ions,{[Sc_(3)(OH)_(2)(Tdc)_(3)(NO_(3))]⋅H_(2)O}_(∞)(AEU-1;AEU for Army Engineering University of PLA),was synthesized,which shows good water and chemical stabilities.Significantly,due to channel constriction accompanied by the polar window caused by introducing nitrate ions,AEU-1 exhibits high C_(2)H_(6)/C_(2)H_(4)adsorption selectivity comparable to many famous C_(2)H_(6)-selective MOFs,making it a promising candidate for the purification of methanol-to-olefin(MTO)products.Furthermore,theoretical investigations reveal that the introduced nitrate ions in AEU-1 as the main adsorption sites could provide strong interactions between the framework and C2H6/C3H6 in the full-contacting mode,leading to an increase in the adsorption enthalpies(Qst)of C_(2)H_(6)and C_(3)H_(6),and thus further improving the C_(2)H_(6)/C_(2)H_(4)and C_(3)H_(6)/C_(2)H_(4)adsorption selectivity.Our work could open up a new avenue for constructing MOFs with inorganic polar moieties as adsorption sites for one-step C_(2)H_(4)purification and C3H6 recovery from MTO mixtures with high selectivity.
基金This research was financed by the grants from National Social Science Fund of China(No.21FSHB007).
文摘Starting from the inheritance and promotion of Chinese life philosophy and traditional Chinese medicine wisdom by Chinese narrative medicine practice,this paper discusses the inheritance and echo relationship between the“close textual reading ability”in Chinese narrative medicine practice and the“four diagnoses”in traditional Chinese medicine wisdom,narrative mediation and the“mind-body holistic philosophy”in traditional Chinese medicine,and narrative wisdom and Dao Sheng in Chinese life philosophy.Meanwhile,by analyzing the stories of contemporary doctors’practice of narrative intelligence,this paper expounds that Chinese narrative medicine is a new model of medical education and clinical practice based on the absorption of Chinese traditional life wisdom and the essence of traditional Chinese medicine culture,and the integration of western narrative medicine concepts.It also advocates Chinese scholars to actively build the discipline of“narrative traditional Chinese medicine,”constantly translate the academic achievements to foreign countries,and create a good narrative ecology of traditional Chinese medicine.
基金supported by Natural Science Foundation of China(1187127511371194)。
文摘This paper focuses on an optimal reinsurance and investment problem for an insurance corporation which holds the shares of an insurer and a reinsurer.Assume that the insurer can purchase reinsurance from the reinsurer,and that both the insurer and the reinsurer are allowed to invest in a risk-free asset and a risky asset which are governed by the Heston model and are distinct from one another.We aim to find the optimal reinsuranceinvestment strategy by maximizing the expected Hyperbolic Absolute Risk Aversion(HARA)utility of the insurance corporation’s terminal wealth,which is the weighted sum of the insurer’s and the reinsurer’s terminal wealth.The Hamilton-Jacobi-Bellman(HJB)equation is first established.However,this equation is non-linear and is difficult to solve directly by any ordinary method found in the existing literature,because the structure of this HJB equation is more complex under HARA utility.In the present paper,the Legendre transform is applied to change this HJB equation into a linear dual one such that the explicit expressions of optimal investment-reinsurance strategies for-1≤ρi≤1 are obtained.We also discuss some special cases in a little bit more detail.Finally,numerical analyses are provided.
基金the National Science Council of the Republic of China,Taiwan,for fnancially supporting this research under Contract No.NSC 101-2218-E-539001 and NSC 102-2623-E-539-001-ET
文摘In this paper, we report a rapid synthesis of piezoelectric ZnO-nanostructures and fabrication of the nanostructures- based power-generators demonstrating an energy conversion from an environmental mechanical/ultrasonic energy to an electrical energy. The ZnO nanostructures are grown on a silicon wafer by a modified chemical solution method （CSD, chemical-solution-deposition） with a two-step thermal-oxidation approach. The synthesis process can be completed within 1 h. By varying the mixture-ratio of Zn micro-particles in an oxalic acid solution with 0.75 mol/l concentration in the CSD process, the growth mechanism is well-controlled to synthesize three different types of ZnO-nanostructures （i.e., dandelion-like nanostructures, columnar nanostructures, and nanowires）. Furthermore, through oxidizing at different temperatures in the thermal-oxidation process, the featured geometry of the nanostructures （e.g., the length and diameter of a nanowire） is modified. The geometry, size, morphology, crystallization, and material phase of the modified nanostructures are characterized by scanning electron microscopy and X-ray diffraction. Finally, the nanostructures are used to fabricate several micro power-generators. Through the piezoelectric effect, a maximum current density output of 0.28 μA cm-2 generated by a power-generator under an ultrasonic wave is observed.
文摘In this study, several ZnO catalysts were prepared using different zinc sources as precursors. The different catalyst mor- phologies obtained were used to degrade photocatalytically a methyl orange (MO) dye solution, which was used to model wastewater pollution. The precursors, Zn(CH3COO)2, ZnCl2 and Zn(NO3)2, were individually added to a solution containing cetyltrimethylammonium bromide (CTAB) and sodium hydroxide (NaOH) for the hydrothermal synthesis of ZnO. After the hydrothermal reaction, the samples of ZnO were filtered, washed, dried at 110?C and calcined at 550?C, resulting in the formation of the rod-like (designated ZnO(I)), the rice-like (designated ZnO(II)) and the granular-like (designated ZnO(III)) catalysts. The catalysts were characterized by X-ray diffraction (XRD), field-emission scanning electron microscope (FE-SEM) and their UV-visible diffuse reflectance spectra (UV-Vis DRS). The results indicate that the photocatalytic degradation of the MO solution, after 60 min of UV irradiation, can reach percentages of 40%, 96% and 99% using the catalysts ZnO(I), ZnO(II) and ZnO(III), respectively. The morphology of the ZnO catalyst had an ap- parent effect on the rate of the photocatalytic degradation of MO. The ZnO(II) and ZnO(III) catalysts have higher S/V ratios and a greater content of oxygen vacancies, resulting in different absorbances of ultraviolet light, which leads to different rates of photocatalytic degradation of MO.
文摘The heavy ion-acoustic solitary waves(HIASWs) in a magnetized, collisionless, space plasma system(containing dynamical heavy ions and bi-kappa distributed electrons of two distinct temperatures) have been theoretically investigated. The Korteweg-de Vries(K-dV), modified K-dV(MK-dV), and higher-order MK-dV(HMK-dV) equations are derived by employing the reductive perturbation method. The basic features of HIASWs(viz. speed, polarity,amplitude, width, etc.) are found to be significantly modified by the effects of number density and temperature of different plasma species, and external magnetic field(obliqueness). The K-dV and HM-Kd V equations give rise to both compressive and rarefactive solitary structures, whereas the MK-dV equation supports only the compressive solitary structures. The implication of our results in some space and laboratory plasma situations are briefly discussed.
文摘The nonlinear propagation of electrostatic excitations and their multi-dimensional instability in a magnetized, degenerate electron-positron-ion(EPI) plasma system(containing inertial cold positrons, relativistic degenerate electrons and hot positrons, and negatively charged immobile heavy ions) are theoretically investigated. The reductive perturbation method is employed to derive the Zakharov–Kuznetsov equation which admits a localized solitary wave solution for small but finite amplitude limit, and the multi-dimensional instability of the positron acoustic solitary waves(PASWs) is studied by the small-k perturbation expansion method. It is found that the basic characteristics(viz. phase speed, amplitude, width) of the PASWs are significantly affected by the degree of obliqueness, relativistic degeneracy,and plasma particle number densities. The instability criterion and its growth rate, which are depending on the magnetic field and the propagation directions of both the PASWs, and their perturbation modes are discussed. The present analysis can be helpful in understanding the nonlinear phenomenon in dense astrophysical as well as space plasma systems,especially in pulsar environments.
基金funded by China’s National Social Science Fund,“The effect of community violence exposure on middle school students’social adjustment and its intervention countermeasures”(16BSH102).
文摘This study aimed to investigate the link between the exposure to intimate partner violence(IPV),core self-evaluations(CSE),and psychological adaptation of Chinese adolescents,through analysis of the results from the Survey of Children’s Exposure to Domestic Violence Scale,Core Self-Evaluations Scale,and Strengths and Difficulties Questionnaire,involving a total of 597 Chinese middle school students.It is indicated that the exposure to IPV is positively correlated with lower levels of psychological adaptation and CSE,and CSE is positively correlated with higher levels of psychological adaptation.Mediation analysis revealed that CSE partially mediated the association between the exposure to IPV and psychological adaptation.These results suggest that educators and parents should help adolescents tackle their emotional and behavioral problems by reducing the risk of IPV exposure and increasing their CSE.
文摘Generally,conventional methods for anomaly detection rely on clustering,proximity,or classification.With themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques inefficient.This research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured data.Every node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph structures.Due to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and healthcare.Anomaly detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of anomalies.The Graph-based deep learning networks are designed to predict unknown objects and outliers.In our case,they detect unusual objects in the form of malicious nodes.The edges between nodes represent a relationship of nodes among each other.In case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an anomaly.The encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible outcome.Results show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance videos.Performing autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public places.The suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniques.
基金This paper is funded by:(1)The 13th Five-Year Plan General Project of Sichuan Social Science:“A Study on Psycho-correction Discourse in Community Correction under Innovative Social Governance”(SC20B151)(2)Project of Sichuan Social Security and Social Management Innovation Research Center:“An Empirical Study on the Intervention of Judicial Social Work in the Community Correction in the context of Social Governance Innovation”(SCZA19B01)+1 种基金(3)Project of Luzhou Philosophy and Social Science Research:“A study on Implicit Persuasion Discourse of Community Correction Staffs from the Perspective of Appraisal System in SFL”(LZ20A146)(4)Project of Social Governance Innovation Research Center:“An Empirical Study of Judicial Social Work Participating in Innovative Social Governance in Community Correction”(SHZLZD2002).
文摘This paper mainly discusses the power and solidarity among participants in the community correction discourse from sociolinguistic perspective by adopting the methodology of conversation analysis.Through the comparative study of the steps of Initial Evaluation and Entry Ceremony in community correction,this paper analyses the power and solidarity in the features of adjacency pair and turn-taking,and finds that the step of Initial Evaluation is relatively negotiable and represents the social relationship of solidarity,while the step of Entry Ceremony stresses more on social distance and power relationship.The reasons that cause the power and solidarity in the Initial Evaluation and the Entry Ceremony from the perspective of social identity and social purposes are also explored.
基金Supported by the Natural Science Foundation of Jiangsu Province under Grant No BK20171397the Foundation for Encouragement of Department of General Educationthe Pre-Research Foundation of Army Engineering University of PLA
文摘Quantum entanglement represents a fundamental feature of quantum many-body systems. We combine tripartite entanglement with quantum renormalization group theory to study the quantum critical phenomena. The Ising model and the Heisenberg X X Z model in the presence of the Dzyaloshinskii–Moriya interaction are adopted as the research objects. We identify that the tripartite entanglement can signal the critical point. The derivative of tripartite entanglement shows singularity as the spin chain size increases. Furthermore, the intuitive scaling behavior of the system selected is studied and the result allows us to precisely quantify the correlation exponent by utilizing the power law.
文摘Hydrogen production through steam reforming of ethanol (SRE) over Mg modified Co-based catalysts supported on mesoporous SBA-15 was studied herein to evaluate the catalytic activity and the behavior of coke deposition. The CoyMgx/SBA-15 catalysts are obtained according to the steps of consecutive impregnation of Mg (x = 5 and 10 wt%) to be incorporated on SBA-15 and then follow the loading of Co (y = 10 and 20 wt%) using the incipient wetness impregnation method. The catalysts are characterized by using X-ray diffraction (XRD), temperature programmed reduction (TPR), transmission electron microscopy (TEM) and BET techniques. Also, the spent catalysts are further characterized by using XRD and TEM. The catalytic activity of the SRE is evaluated in a fixed-bed reactor under 22,000 h-1 GHSV and with an H2O/EtOH molar ratio of 13. All the CoyMgx/SBA-15 catalysts present a mesoporous structure, even after the SRE reaction. The optimum catalyst of Co20Mg5/SBA-15-H650 comes from the high loading of Co and high reduction temperature pretreatment, which show a high catalytic activity and stability at 550°C with a hydrogen yield (YH2) up to 5.78 and CO selectivity around 3.10%.
文摘Artificial Intelligence (AI) has emerged as a transformative force across industries, with notable applications in sports coaching. Its capabilities, ranging from machine learning to real-time feedback systems, enable coaches to process complex data and enhance decision-making. This study investigates the integration of AI into sports coaching, emphasizing its potential to revolutionize training efficiency, optimize athlete performance, and reduce injury risks. However, AI implementation still faces challenges such as technical complexity, budgetary constraints, data privacy and ethical considerations, and psychological resistance. Research Objective: The purpose of this study is to explore the efficient use of AI in sport coaching, to propose strategies to address the challenges encountered in implementation, and to provide implementation guidelines for sport organizations. Research Methodology: This paper provides an in-depth analysis of the application of AI in data analysis and training adjustments, injury prediction, and personalized training regimens through literature review and case studies, and proposes effective implementation strategies in combination with actual cases. Findings: The study found that AI technology has significant advantages in enhancing training science and effectiveness, such as real-time data analysis tools and machine learning models that can improve training personalization and science, and AI-driven biomechanical analysis and injury prediction systems that can help to reduce the risk of injuries and improve safety for athletes. However, technical complexity, financial pressures, and data privacy concerns limit their use in small and medium-sized organizations. Research Conclusion: Successful implementation of AI technology in sports coaching requires a multi-layered strategy that includes ongoing training, strategic partnerships, and phased introduction. Future research should focus on combining with emerging technologies such as virtual reality and augmented reality, as well as ensuring the sustainability of the technology in long-term application, realizing deep integration with coaching expertise, and building a comprehensive and efficient training system.
基金Supported by the Fundamental Research Program of Shanxi Province(Grant No.202303021212147)the National Natural Science Foundation of China(Grant No.12471038)。
文摘Let D(n)be the finite dimensional non-pointed and non-semisimple Hopf algebra,which is a quotient of a prime Hopf algebras of GK-dimension one for an odd number n>1.In this paper,we investigate the structure of Yetter-Drinfeld simple modules over D(n)and give iso-classes of them.
基金supported by the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20171397)the National Natural Science Foundation of China(Grant Nos.11535004,11375086,1175085,and 11120101005)+1 种基金the Foundation for Encouragement of College of Sciences(Grant No.LYLZJJ1616)the Pre-research Foundation of Army Engineering University of PLA
文摘We investigate the role of quantum correlation around the quantum phase transitions by using quantum renormalization group theory. Numerical analysis indicates that quantum correlation as well as quantum nonlocality can efficiently detect the quantum critical point in the two-dimensional XY systems. The nonanalytic behavior of the first derivative of quantum correlation is observed at the critical point as the size of the model increases. Furthermore, we discuss the quantum correlation distribution in this system based on the square of concurrence（SC） and square of quantum discord（SQD）. The monogamous properties of SC and SQD are obtained. Particularly, we prove that the quantum critical point can also be achieved by monogamy score.
文摘A new method creating depth information for 2D/3D conversion was proposed. The distance between objects is determined by the distances between objects and light source position which is estimated by the analysis of the image. The estimated lighting value is used to normalize the image. A threshold value is determined by some weighted operation between the original image and the normalized image. By applying the threshold value to the original image, background area is removed. Depth information of interested area is calculated from the lighting changes. The final 3D images converted with the proposed method are used to verify its effectiveness.
文摘A new method for automatic salient object segmentation is presented.Salient object segmentation is an important research area in the field of object recognition,image retrieval,image editing,scene reconstruction,and 2D/3D conversion.In this work,salient object segmentation is performed using saliency map and color segmentation.Edge,color and intensity feature are extracted from mean shift segmentation(MSS)image,and saliency map is created using these features.First average saliency per segment image is calculated using the color information from MSS image and generated saliency map.Then,second average saliency per segment image is calculated by applying same procedure for the first image to the thresholding,labeling,and hole-filling applied image.Thresholding,labeling and hole-filling are applied to the mean image of the generated two images to get the final salient object segmentation.The effectiveness of proposed method is proved by showing 80%,89%and 80%of precision,recall and F-measure values from the generated salient object segmentation image and ground truth image.
