Since ancient times,humans have endeavored to maintain their health.These methods are collectively referred to as“Yang Sheng(养生)”or health preservation practices.The concept of Yang Sheng originated and was nurtur...Since ancient times,humans have endeavored to maintain their health.These methods are collectively referred to as“Yang Sheng(养生)”or health preservation practices.The concept of Yang Sheng originated and was nurtured in ancient China.By the Ming dynasty,this practice had transcended the elite scholarly class and began to garner the attention of the general populace.With the development of the publishing industry,a large number of Yang Sheng-related books were created,disseminated,and widely read.Zhu Quan(朱权),a representative literatus of the Ming dynasty and a member of the imperial family,left behind a vast body of writings across multiple fields,including Yang Sheng,medicine,Daoism,history,drama,and phonology.Among these,his works on Yang Sheng and medicine were also transmitted to Korea and Japan,exerting an influence on East Asian Yang Sheng culture.Previous studies have largely lacked a systematic examination of Zhu Quan’s thought on Yang Sheng and have paid little attention to the transmission of this thought in Korea and Japan.This study begins with an analysis of his Yang Sheng-related text Huo Ren Xin(《活人心》Enlivening the Human Heart),and through an exploration of the core ideas in this work as well as its dissemination and reception in Korea and Japan,it attempts to shed light on the modes of transmission and exchange within East Asian Yang Sheng culture.First,the paper investigates the formation of Zhu Quan’s thinking by examining his life and intellectual background.It then analyzes the compilation,content,and conceptual features of Huo Ren Xin,and explores its transmission in Korea and Japan based on extant editions.Finally,through an examination of medical texts and literary works by scholars in Korea and Japan,the study further elucidates the acceptance and transmission of Zhu Quan’s Yang Sheng thought across East Asia.展开更多
BACKGROUND Alexithymia is defined as difficulties in identifying,expressing,and understanding emotions.An unapproving environment during childhood is defined as the child not receiving emotional approval from their pa...BACKGROUND Alexithymia is defined as difficulties in identifying,expressing,and understanding emotions.An unapproving environment during childhood is defined as the child not receiving emotional approval from their parents,being punished,or having their emotions devalued.The formation of self-esteem is shaped by the influence of parental behavior during childhood.The commu-nication that the child establishes with their parents contributes to their increased self-esteem and sense of importance.The absence of this may play a role in developmental psychopathology.AIM To examine the mediating role of self-esteem in the relationship between a disapproving environment in childhood and alexithymia.METHODS The research in the relational screening model was conducted with 404 participants.Demographic Information Form,Disapproving Environment Scale in Childhood,Toronto Alexithymia Scale,and Rosenberg Self-Esteem Scale were used as data collection tools.Hayes’bootstrapping technique was used in the analysis of the data obtained from the research.RESULTS As a result of the analyses,parental disapproval positively predicted the level of alexithymia(rmother=0.51,rfather=0.52,P<0.05)and negatively predicted selfesteem(rmother=-0.75,rfather=-0.67,P<0.05).Additionally,self-esteem negatively predicted alexithymia(r=-0.58,P<0.05).It was observed that self-esteem had a partial mediating effect on the relationship between parental disapproval and alexithymia.Family types were analyzed separately as chaotic,approving,perfect,and typical.Of these,the chaotic family type positively predicted alexithymia(r=0.33,P<0.05)and negatively predicted self-esteem(r=-0.60,P<0.05).The approving family type negatively predicted alexithymia(r=-0.43,P<0.05)and positively predicted self-esteem(r=0.61,P<0.05).The perfect family type negatively predicted alexithymia(r=-0.27,P<0.05)and positively predicted self-esteem(r=-0.45,P<0.05).CONCLUSION The type of family in which the child grows up in and parental disapproval during childhood affected the child’s self-esteem and caused alexithymic personality traits.展开更多
This study examines the language learning needs and influencing factors of international MBBS students in China, to promote deep learning. Despite compulsory Chinese requirements (Level 4 HSK), a non-immersive environ...This study examines the language learning needs and influencing factors of international MBBS students in China, to promote deep learning. Despite compulsory Chinese requirements (Level 4 HSK), a non-immersive environment often leads to motivation issues. Findings reveal that students perceive their needs as phased, homogeneous yet diverse, and not universal. Daily and professional communication demands, positive teacher-student relationships, and successful language application drive deep learning. Key strategies are proposed, including enhancing teacher quality, developing structured materials that bridge general and medical Chinese, implementing scenario-based teaching that prioritizes speaking/listening, and optimizing the curriculum for continuous exposure and a balanced workload. The ultimate goal is to cultivate competent communicators for medical practice and daily life in China.展开更多
AI-driven fintech industries face critical vulnerabilities from volatile rare earth and metallic mineral prices,geopolitical instability,and inflationary pressures.Sovereign inflation-linked bonds serve as incentives ...AI-driven fintech industries face critical vulnerabilities from volatile rare earth and metallic mineral prices,geopolitical instability,and inflationary pressures.Sovereign inflation-linked bonds serve as incentives for investors in technological industries,despite the risks associated with rising costs of goods.By analyzing global data(8 September 2020–9 September 2023)via cross-quantilogram,recursive cross-quantilogram and quantile vector autoregressive approaches,this study reveals how Russia–Ukraine geopolitical risk,sovereign inflation–linked bonds,rare earth and metallic mineral prices disrupt AI-driven fintech outputs.Key findings indicate that rising rare earth prices suppress fintech productivity in long-term growth periods,whereas sovereign inflation-linked bonds mitigate short-term inflationary risk.Geopolitical turmoil disproportionately harms fintech outputs during market downturns,with both mineral price volatility and conflict-driven shocks amplifying systemic instability in fintech outputs and sovereign inflation-linked bonds.These results urge policymakers to secure critical mineral supply chains,promote inflation-hedging financial instruments,and foster international cooperation to buffer AI-driven fintech sectors against geopolitical and resource-driven disruptions.展开更多
The application of artificial intelligence(AI)in carotid atherosclerotic plaque detection via computed tomography angiography(CTA)has significantly ad-vanced over the past decade.This mini-review consolidates recent i...The application of artificial intelligence(AI)in carotid atherosclerotic plaque detection via computed tomography angiography(CTA)has significantly ad-vanced over the past decade.This mini-review consolidates recent innovations in deep learning architectures,domain adaptation techniques,and automated pl-aque characterization methodologies.Hybrid models,such as residual U-Net-Pyramid Scene Parsing Network,exhibit a remarkable precision of 80.49%in plaque segmentation,outperforming radiologists in diagnostic efficiency by reducing analysis time from minutes to mere seconds.Domain-adaptive fra-meworks,such as Lesion Assessment through Tracklet Evaluation,demonstrate robust performance across heterogeneous imaging datasets,achieving an area under the curve(AUC)greater than 0.88.Furthermore,novel approaches inte-grating U-Net and Efficient-Net architectures,enhanced by Bayesian optimi-zation,have achieved impressive correlation coefficients(0.89)for plaque quanti-fication.AI-powered CTA also enables high-precision three-dimensional vascular segmentation,with a Dice coefficient of 0.9119,and offers superior cardiovascular risk stratification compared to traditional Agatston scoring,yielding AUC values of 0.816 vs 0.729 at a 15-year follow-up.These breakthroughs address key challenges in plaque motion analysis,with systolic retractive motion biomarkers successfully identifying 80%of vulnerable plaques.Looking ahead,future directions focus on enhancing the interpretability of AI models through explainable AI and leveraging federated learning to mitigate data heterogeneity.This mini-review underscores the transformative potential of AI in carotid plaque assessment,offering substantial implic-ations for stroke prevention and personalized cerebrovascular management strategies.展开更多
Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton...Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton solutions.In the present study,we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of nonlinearity.This nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation structures.The numerical simulation is accomplished through the application of an algorithm that integrates the classical Adomian method with the Laplace transform.The results obtained have not been previously reported for this type of nonlinearity.Additionally,for the purpose of comparison,the numerical examination has taken into account some scenarios with fixed parameter values.Notably,the numerical derivation of solitons without the assistance of an exact solution is an exceptional take-home lesson fromthis study.Furthermore,the proposed approach is demonstrated to possess optimal computational accuracy in the results presentation,which includes error tables and graphs.It is important tomention that themethodology employed in this study does not involve any form of linearization,discretization,or perturbation.Consequently,the physical nature of the problem to be solved remains unaltered,which is one of the main advantages.展开更多
The aim of this work was to study the influence of the processing route on the microstructural constituents,hardness andtribological(wear and friction)behavior of Ti6Al4V biomedical alloy.In this sense,three different...The aim of this work was to study the influence of the processing route on the microstructural constituents,hardness andtribological(wear and friction)behavior of Ti6Al4V biomedical alloy.In this sense,three different processing routes were studied:conventional casting,hot pressing and selective laser melting.A comprehensive metallurgical,mechanical and tribologicalcharacterization was performed by X-ray diffraction analysis,Vickers hardness tests and reciprocating ball-on-plate wear tests ofTi6Al4V/Al2O3sliding pairs.The results showed a great influence of the processing route on the microstructural constituents andconsequent differences on hardness and wear performance.The highest hardness and wear resistance were obtained for Ti6Al4Valloy produced by selective laser melting,due to a markedly different cooling rate that leads to significantly different microstructurewhen compared to hot pressing and casting.This study assesses and confirms that selective laser melting is potential to producecustomized Ti6Al4V implants with improved wear performance.展开更多
Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have no...Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have not considered that the argument values may vary from profile to profile,which is common in practice.A novel nonparametric control scheme based on profile error is proposed for monitoring nonlinear profiles with varied argument values.The proposed scheme uses the metrics of profile error as the statistics to construct the control charts.More details about the design of this nonparametric scheme are also discussed.The monitoring performance of the combined control scheme is compared with that of alternative nonparametric methods via simulation.Simulation studies show that the combined scheme is effective in detecting parameter error and is sensitive to small shifts in the process.In addition,due to the properties of the charting statistics,the out-of-control signal can provide diagnostic information for the users.Finally,the implementation steps of the proposed monitoring scheme are given and applied for monitoring the blade manufacturing process.With the application in blade manufacturing of aircraft engines,the proposed nonparametric control scheme is effective,interpretable,and easy to apply.展开更多
We report on the magnetic,magnetocaloric,thermal,and electrical transport properties of Tb_(4)Coln alloy,which crystallizes in two phases,Tb_6Co_(2.1)In_(0.8)(space group Immm)and Tb_(2)In_(0.9)Co_(0.1)(space group P6...We report on the magnetic,magnetocaloric,thermal,and electrical transport properties of Tb_(4)Coln alloy,which crystallizes in two phases,Tb_6Co_(2.1)In_(0.8)(space group Immm)and Tb_(2)In_(0.9)Co_(0.1)(space group P6_(3)/mmc),respectively.The alloy reveals three successive magnetic transitions around T_(1)(163 K),T_(2)(50 K),and T_(3)(29 K),respectively,associated with paramagnetic to ferromagnetic transition and two sequential antiferromagnetic transitions.The low-temperature transition T_(3) follows the first-order magnetic behavior and exhibits the field-induced magnetic transition.Meanwhile,T_(2) and T_(1) are found to be second-order in nature which opens a possibility for hysteresis-free magnetocaloric application.The magnetocaloric properties are determined using different magnetocaloric figures of merits such as-ΔS_(M),ΔT_(ad).RCP,and TEC(10).Additionally,the universal curve behavior in the isothermal entropy change unveils the variation in critical exponents around T_(1) and T_(2) due to the magnetic inhomogeneity in the alloy.Besides,the electrical transport properties of the metallic alloy denote the maximum magnetoresistance of-10%around T_(1).展开更多
Turkey,containing three of the world’s biodiversity hotspots,is a hub for genetic biodiversity.However,the vegetation cover has drastically changed in recent decades as a result of substantial transformations in land...Turkey,containing three of the world’s biodiversity hotspots,is a hub for genetic biodiversity.However,the vegetation cover has drastically changed in recent decades as a result of substantial transformations in landuse practices.A map of the potential natural vegetation can be used to represent the biodiversity of a country,and therefore a reference to effectively develop conservation strategies.The multinomial logistic regression is used to simulate the probability of different biomes occurring in the country using elevation,climatological data and natural vegetation data.A correlation test was applied to the climatological data to determine which predictors influence vegetation the most.These were temperature,precipitation,relative humidity and cloudiness.The Ordinary Kriging method was employed to transform the data into the format for the multinomial logistic regression model.The model showed that temperature was the most influencing factor with respect to Turkey’s vegetation and distribution follows a similar distribution as the various macroclimates.Broadleaf forests are mostly found in the Black Sea region,which is also the wettest region of the country.The Marmara region is the only other region where there are broadleaf forests.Mixed forests and shrublands are mostly located in Central Anatolia due to the region’s low humidity which favours herbaceous flora.Coniferous forests were dominant in the Aegean and Mediterranean regions,attributed to high temperatures.展开更多
BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still...BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.展开更多
The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in impr...The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in improving the quality of language teaching and learning.Furthermore,these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition.In view of the favorable impact of emotional factors on the mental health of language teachers and learners,many educational scholars around the world have studied these factors,their background,and their pedagogical consequences.Nonetheless,the majority of previous studies have employed traditional research methods in assessing these variables and their influences on language teachers’and learners’mental health.Because of the complex and dynamic quality of emotional factors,traditional research approaches often fail to evaluate these factors and their dynamic,non-linear connections with teachers’and learners’mental health and well-being.Accordingly,some novel research approaches are required to measure the dynamicity and complexity of emotional factors in language education settings.To address this call,the current state-of-the-art conceptual article seeks to provide new insights for investigating emotional factors and their potential impact on language teachers’and learners’mental states.This study also intends to offer a comprehensive list of emerging methods that take into account the complex and dynamic nature of emotional variables.Finally,the study outlines the potential implications of this review for educational researchers.展开更多
OBJECTIVE:To explore the mechanism of Dangua Fang(丹瓜方,DGR)in multi-target and multi-method regulation of glycolipid metabolism based on phosphoproteomics.METHODS:Sprague-Dawley rats with normal glucose levels were ...OBJECTIVE:To explore the mechanism of Dangua Fang(丹瓜方,DGR)in multi-target and multi-method regulation of glycolipid metabolism based on phosphoproteomics.METHODS:Sprague-Dawley rats with normal glucose levels were randomly divided into three groups,including a conventional diet control group(Group A),high-fat-highsugar diet model group(Group B),and DGR group(Group C,high-fat-high-sugar diet containing 20.5 g DGR).After 10 weeks of intervention,the fasting blood glucose(FBG),2 h blood glucose[PBG;using the oral glucose tolerance test(OGTT)],hemoglobin A1c(HbA1c),plasma total cholesterol(TC),and triglycerides(TG)were tested,and the livers of rats were removed to calculate the liver index.Then,hepatic portal TG were tested using the Gross permanent optimization-participatiory action planning enzymatic method and phosphoproteomics was performed using liquid chromatography with tandem mass spectrometry(LC-MS/MS)analysis followed by database search and bioinformatics analysis.Finally,cell experiments were used to verify the results of phosphoproteomics.Phosphorylated mitogen-activated protein kinase kinase kinase kinase 4(MAP4k4)and phosphorylated adducin 1(ADD1)were detected using western blotting.RESULTS:DGR effectively reduced PBG,TG,and the liver index(P<0.05),and significantly decreased HbA1c,TC,and hepatic portal TG(P<0.01),showed significant hematoxylin and eosin(HE)staining,red oil O staining,and Masson staining of liver tissue.The total spectrum was 805334,matched spectrum was 260471,accounting for accounting 32.3%,peptides were 19995,modified peptides were 14671,identified proteins were 4601,quantifiable proteins were 4417,identified sites were 15749,and quantified sites were 14659.Based on the threshold of expression fold change(>1.2),DGR upregulated the modification of 228 phosphorylation sites involving 204 corresponding function proteins,and downregulated the modification of 358 phosphorylation sites involving 358 corresponding function proteins,which included correcting 75 phosphorylation sites involving 64 corresponding function proteins relating to glycolipid metabolism.Therefore,DGR improved biological tissue processes,including information storage and processing,cellular processes and signaling,and metabolism.The metabolic functions regulated by DGR mainly include energy production and conversion,carbohydrate transport and metabolism,lipid transport and metabolism,inorganic ion transport and metabolism,secondary metabolite biosynthesis,transport,and catabolism.In vitro phosphorylation validation based on cell experiments showed that the change trends in the phosphorylation level of MAP4k4 and ADD1 were consistent with that of previous phosphoproteomics studies.CONCLUSION:DGR extensively corrects the modification of phosphorylation sites to improve corresponding glycolipid metabolism-related protein expression in rats with glycolipid metabolism disorders,thereby regulating glycolipid metabolism through a multi-target and multi-method process.展开更多
We report the results of magnetic, thermodynamic, transport and magnetocaloric effect (MCE) studies of newly synthesized Gd_(10)Co_(20)Si_(70) alloy. These measurements confirm an antiferromagnetic transition at T_N=9...We report the results of magnetic, thermodynamic, transport and magnetocaloric effect (MCE) studies of newly synthesized Gd_(10)Co_(20)Si_(70) alloy. These measurements confirm an antiferromagnetic transition at T_N=9 K. Both MCE and magnetoresistance (MR) show quadratic dependence on the applied magnetic field, indicating the presence of spin fluctuations in the alloy. The maximum values of the magnetic entropy change determined from the isothermal magnetization data for magnetic field change of 7 and9 T are found to be 10.5 and 15.6 J/kg·K, respectively. As a consequence of the spin fluctuations effect, the MCE peaks are pulled towards high temperature side as asymmetrically broadened peak. The MR attains a large positive value of 73%at 2 K in 8 T. The large MR and reversible MCE make this alloy an attractive multifunctional magnetic material.展开更多
Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods rese...Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods research that composed two distinct phases.Study 1 was quantitative research that helped to identify determinants of Chinese college students'continuance intention to use.A self-reported questionnaire was completed by 379 college students to ascertain their user experience.Study 2 was qualitative research.A semi-structured interview was conducted with a sample of 10 college students.Study 2 can be seen as a follow-up study and it pursued an in-depth understanding on how college students use fitness apps in the everyday life and their views towards study 1's major findings.Results:The results revealed that five factors(confirmed usefulness,confirmed ease of use,satisfaction,fitness achievement and social connection)were found to significantly and positively affect college students'continuous intention to use fitness apps.Entertainment did not show obvious impact.In the interview,college students reported that even if they don't obtain entertainment from fitness apps,they will still push themselves to use them,because they have a very specific goal when using fitness apps,which is to achieve health and fitness.Conclusion:These findings indicated that successful fitness apps should make users feel convenient to use and indeed improves the fitness user's efficiency.Besides,people are more eager to get the information with strong credibility with the negligible effort.This implies more efforts should be made to design apps that can provide high-quality services.Moreover,if apps designers can pay more attention to protecting the personal information and data,it will inspire more people to use social connection functions.展开更多
Background:Hospitalized patients recovering from coronavirus disease 2019(COVID-19)may experience disability and suffer from significant physical and mental impairment requiring physical rehabilitation following their...Background:Hospitalized patients recovering from coronavirus disease 2019(COVID-19)may experience disability and suffer from significant physical and mental impairment requiring physical rehabilitation following their discharge.However,to date,no attempt has been made to collate and synthesize literature in this area.Objective:This systematic review examines the outcomes of different physical rehabilitation interventions tested in COVID-19 patients who were discharged from hospital.Search strategy:A systematic search of MEDLINE/PubMed,CINAHL,Scopus and medRxiv was conducted to identify articles published up to March 2022.Inclusion criteria:This systematic review included studies of outpatient rehabilitation programs for people recovering from COVID-19 who received physical activity,exercise,or breathing training to enhance or restore functional capacity,pulmonary function,quality of life,and mental health or function.Data extraction and analysis:Selection of included articles,data extraction,and methodological quality assessments were conducted by two review authors respectively,and consensus was reached through discussion and consultation with a third reviewer.Finally,we review the outcomes of studies based on four categories including:(1)functional capacity,(2)pulmonary function,(3)quality of life,and(4)mental health status.Results:A total of 7534 titles and abstracts were screened;10 cohort studies,4 randomized controlled trials and 13 other prospective studies involving 1583 patients were included in our review.Early physical rehabilitation interventions applied in COVID-19 patients who were discharged from the hospital improved multiple parameters related to functional capacity,pulmonary function,quality of life and mental health status.Conclusion:Physical rehabilitation interventions may be safe,feasible and effective in COVID-19 patients discharged from the hospital,and can improve a variety of clinically relevant outcomes.Further studies are warranted to determine the underlying mechanisms.展开更多
Powerful alluvial rivers in the northern Alborz mountain ranges erode river banks due to having high slopes.Most of these rivers flow in forest areas.In this research,the rate of the river bank erosion was examined us...Powerful alluvial rivers in the northern Alborz mountain ranges erode river banks due to having high slopes.Most of these rivers flow in forest areas.In this research,the rate of the river bank erosion was examined using the exposed roots of the trees.For this purpose,8 reaches of Lavij Stream were investigated.To determine the first year of root exposure,two sets of macroscopic and microscopic indicators were utilized.Accordingly,the rate of the stream bank erosion was estimated.The results were analyzed by using statistical test,which showed insignificant differences between the two groups of indicators.Due to its more abundance(frequency)on the margins and easy detection of its root through the exposure(macroscopic and microscopic)indicators,Alnus glutinosa(black alder)species could be more easily and accurately analyzed as compared with any other tree species in the region.The mean erosion rate of the riverbank using the extruded roots was estimated to be 0.08 m/yr.The hydrological analyses of flood flows showed that 95%of Lavij Stream bank erosion was caused by the river bank full discharges with a return period of 1-3 years.展开更多
BACKGROUND The present study investigated perfectionism from the bioecological model perspective as a multidimensional construct manifested in forms of excessively high personal standards,exaggerated worries about per...BACKGROUND The present study investigated perfectionism from the bioecological model perspective as a multidimensional construct manifested in forms of excessively high personal standards,exaggerated worries about personal mistakes,doubt in one’s performance,oversized order and organization emphasis,and the importance of parental valuations and expectations.AIM To investigate the relation between perfectionism;the quality of family,peer,and college relationships;and media usage and content interests.METHODS The research was implemented in 2020 with 203 students(134 female,66%)aged 18-25 years,enrolled at the University of Osijek in Croatia.The questionnaire had five parts:A)sociodemographic data;B)the Multidimensional Perfectionism Scale;C)the“general life satisfaction”and“current situational life satisfaction”scale;D)family,peer,and college relationships quality scale;and E)media usage and content interests scale.All of the implemented instruments showed satisfactory reliability.A hierarchical regression analysis was implemented with the aim of establishing significant perfectionism predictors.RESULTS Age and gender were significant predictors of perfectionism.Participants with lower family relationship quality reported higher parental expectations and complaining as well as significantly higher doubts in personal performance and concern about mistakes.Similarly,a lower peer relationship quality predicted doubts in personal performance and stronger concerns about mistakes.The quality of college relationships positively predicted higher perfectionist personal standards and organization.General life satisfaction predicted higher concerns about mistakes,while current situational life satisfaction predicted higher levels of perfectionist organization.Media usage intensity had no significant effect.Adolescent interest in information-educational media predicted higher personal standards as well as concern about mistakes and organization.Higher interests in entertainment media content predicted more concern about mistakes,while interest in negative media content negatively predicted organization in adolescents.CONCLUSION Sociodemographic traits,relationships with family,peers and colleagues,as well as life satisfaction and media content interests represent significant adolescent perfectionism predictors,explaining 14%-28%of individual perfectionism dimensions.展开更多
Wild fodder plants are valuable because they provide an important livestock feed resource globally,especially for smallholder farmers,and have important roles in natural resource management.In-depth knowledge of wild ...Wild fodder plants are valuable because they provide an important livestock feed resource globally,especially for smallholder farmers,and have important roles in natural resource management.In-depth knowledge of wild forage plants can motivate local people for feed resource and habitat conservation of threatened herbivores such as Mithun(Bos frontalis).Mithun occur in small patches in the mountains of Dulongjiang,nearby villagers domesticated this animal but left animal to freely graze in the mountains.Many fodder plants occur in these mountains,however,little is known about their nutritional value.We conducted an ethnobotanical survey to document important wild fodder plants consumed by mithun in the Dulongjiang Township.The nutritional content of 21 highly mentioned wild fodder plants in an ethnobotanical survey was examined.Laboratory analysis showed that Fagopyrum dibotrys were the fodder species with the highest crude protein(CP)content(26.89%),followed by Polygonum molle(21.88%)and Hydrangea longipes(21.12%).Synthesis of relative feed value index and grey relational grade,P.molle,H.longipes and Tetrastigma obtectum were ranked the top three nutritional fodders.There was a significant difference between 21 species on their in vitro digestibility and the most highly digestible fodder species was Elatostema hookerianum.Linear model analysis on relationship between frequency of citation of 21 wild forage plants by local farmers and their nutrient composition showed that the frequency was significantly positively correlated with the nutritional value of the feed(R2?0.28,P<0.05).We concluded that these species have high nutritional values to improve mithun production in integrated crop-livestock systems.Fodder species or mixtures of species with useful nutritional characters could be cultivated to improve livestock productivity,habitat conservation including that of mithun and wild forage resource management.展开更多
基金financed by the grant from JSPS KAKENHI Grant(No.23K12014).
文摘Since ancient times,humans have endeavored to maintain their health.These methods are collectively referred to as“Yang Sheng(养生)”or health preservation practices.The concept of Yang Sheng originated and was nurtured in ancient China.By the Ming dynasty,this practice had transcended the elite scholarly class and began to garner the attention of the general populace.With the development of the publishing industry,a large number of Yang Sheng-related books were created,disseminated,and widely read.Zhu Quan(朱权),a representative literatus of the Ming dynasty and a member of the imperial family,left behind a vast body of writings across multiple fields,including Yang Sheng,medicine,Daoism,history,drama,and phonology.Among these,his works on Yang Sheng and medicine were also transmitted to Korea and Japan,exerting an influence on East Asian Yang Sheng culture.Previous studies have largely lacked a systematic examination of Zhu Quan’s thought on Yang Sheng and have paid little attention to the transmission of this thought in Korea and Japan.This study begins with an analysis of his Yang Sheng-related text Huo Ren Xin(《活人心》Enlivening the Human Heart),and through an exploration of the core ideas in this work as well as its dissemination and reception in Korea and Japan,it attempts to shed light on the modes of transmission and exchange within East Asian Yang Sheng culture.First,the paper investigates the formation of Zhu Quan’s thinking by examining his life and intellectual background.It then analyzes the compilation,content,and conceptual features of Huo Ren Xin,and explores its transmission in Korea and Japan based on extant editions.Finally,through an examination of medical texts and literary works by scholars in Korea and Japan,the study further elucidates the acceptance and transmission of Zhu Quan’s Yang Sheng thought across East Asia.
文摘BACKGROUND Alexithymia is defined as difficulties in identifying,expressing,and understanding emotions.An unapproving environment during childhood is defined as the child not receiving emotional approval from their parents,being punished,or having their emotions devalued.The formation of self-esteem is shaped by the influence of parental behavior during childhood.The commu-nication that the child establishes with their parents contributes to their increased self-esteem and sense of importance.The absence of this may play a role in developmental psychopathology.AIM To examine the mediating role of self-esteem in the relationship between a disapproving environment in childhood and alexithymia.METHODS The research in the relational screening model was conducted with 404 participants.Demographic Information Form,Disapproving Environment Scale in Childhood,Toronto Alexithymia Scale,and Rosenberg Self-Esteem Scale were used as data collection tools.Hayes’bootstrapping technique was used in the analysis of the data obtained from the research.RESULTS As a result of the analyses,parental disapproval positively predicted the level of alexithymia(rmother=0.51,rfather=0.52,P<0.05)and negatively predicted selfesteem(rmother=-0.75,rfather=-0.67,P<0.05).Additionally,self-esteem negatively predicted alexithymia(r=-0.58,P<0.05).It was observed that self-esteem had a partial mediating effect on the relationship between parental disapproval and alexithymia.Family types were analyzed separately as chaotic,approving,perfect,and typical.Of these,the chaotic family type positively predicted alexithymia(r=0.33,P<0.05)and negatively predicted self-esteem(r=-0.60,P<0.05).The approving family type negatively predicted alexithymia(r=-0.43,P<0.05)and positively predicted self-esteem(r=0.61,P<0.05).The perfect family type negatively predicted alexithymia(r=-0.27,P<0.05)and positively predicted self-esteem(r=-0.45,P<0.05).CONCLUSION The type of family in which the child grows up in and parental disapproval during childhood affected the child’s self-esteem and caused alexithymic personality traits.
基金supported by the Chinese Testing International Co.,Ltd.(CTI)under Grant CTI2022B01.
文摘This study examines the language learning needs and influencing factors of international MBBS students in China, to promote deep learning. Despite compulsory Chinese requirements (Level 4 HSK), a non-immersive environment often leads to motivation issues. Findings reveal that students perceive their needs as phased, homogeneous yet diverse, and not universal. Daily and professional communication demands, positive teacher-student relationships, and successful language application drive deep learning. Key strategies are proposed, including enhancing teacher quality, developing structured materials that bridge general and medical Chinese, implementing scenario-based teaching that prioritizes speaking/listening, and optimizing the curriculum for continuous exposure and a balanced workload. The ultimate goal is to cultivate competent communicators for medical practice and daily life in China.
基金supported by the grant of the Russian Science Foundation(RSF Code:23-18-01065).
文摘AI-driven fintech industries face critical vulnerabilities from volatile rare earth and metallic mineral prices,geopolitical instability,and inflationary pressures.Sovereign inflation-linked bonds serve as incentives for investors in technological industries,despite the risks associated with rising costs of goods.By analyzing global data(8 September 2020–9 September 2023)via cross-quantilogram,recursive cross-quantilogram and quantile vector autoregressive approaches,this study reveals how Russia–Ukraine geopolitical risk,sovereign inflation–linked bonds,rare earth and metallic mineral prices disrupt AI-driven fintech outputs.Key findings indicate that rising rare earth prices suppress fintech productivity in long-term growth periods,whereas sovereign inflation-linked bonds mitigate short-term inflationary risk.Geopolitical turmoil disproportionately harms fintech outputs during market downturns,with both mineral price volatility and conflict-driven shocks amplifying systemic instability in fintech outputs and sovereign inflation-linked bonds.These results urge policymakers to secure critical mineral supply chains,promote inflation-hedging financial instruments,and foster international cooperation to buffer AI-driven fintech sectors against geopolitical and resource-driven disruptions.
基金Supported by Henan Province International Science and Technology Cooperation Project,2024,No.242102520054.
文摘The application of artificial intelligence(AI)in carotid atherosclerotic plaque detection via computed tomography angiography(CTA)has significantly ad-vanced over the past decade.This mini-review consolidates recent innovations in deep learning architectures,domain adaptation techniques,and automated pl-aque characterization methodologies.Hybrid models,such as residual U-Net-Pyramid Scene Parsing Network,exhibit a remarkable precision of 80.49%in plaque segmentation,outperforming radiologists in diagnostic efficiency by reducing analysis time from minutes to mere seconds.Domain-adaptive fra-meworks,such as Lesion Assessment through Tracklet Evaluation,demonstrate robust performance across heterogeneous imaging datasets,achieving an area under the curve(AUC)greater than 0.88.Furthermore,novel approaches inte-grating U-Net and Efficient-Net architectures,enhanced by Bayesian optimi-zation,have achieved impressive correlation coefficients(0.89)for plaque quanti-fication.AI-powered CTA also enables high-precision three-dimensional vascular segmentation,with a Dice coefficient of 0.9119,and offers superior cardiovascular risk stratification compared to traditional Agatston scoring,yielding AUC values of 0.816 vs 0.729 at a 15-year follow-up.These breakthroughs address key challenges in plaque motion analysis,with systolic retractive motion biomarkers successfully identifying 80%of vulnerable plaques.Looking ahead,future directions focus on enhancing the interpretability of AI models through explainable AI and leveraging federated learning to mitigate data heterogeneity.This mini-review underscores the transformative potential of AI in carotid plaque assessment,offering substantial implic-ations for stroke prevention and personalized cerebrovascular management strategies.
文摘Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton solutions.In the present study,we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of nonlinearity.This nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation structures.The numerical simulation is accomplished through the application of an algorithm that integrates the classical Adomian method with the Laplace transform.The results obtained have not been previously reported for this type of nonlinearity.Additionally,for the purpose of comparison,the numerical examination has taken into account some scenarios with fixed parameter values.Notably,the numerical derivation of solitons without the assistance of an exact solution is an exceptional take-home lesson fromthis study.Furthermore,the proposed approach is demonstrated to possess optimal computational accuracy in the results presentation,which includes error tables and graphs.It is important tomention that themethodology employed in this study does not involve any form of linearization,discretization,or perturbation.Consequently,the physical nature of the problem to be solved remains unaltered,which is one of the main advantages.
基金supported by FTC through the projects PTDC/EMS-TEC/5422/2014 and EXCL/EMS-TEC/ 0460/2012the grant SFRH/BPD/112111/2015+1 种基金supported by FCT with the reference project UID/EEA/04436/2013by FEDER funds through the COMPETE 2020-Programa Operacional Competitividade e Internacionalizacao (POCI) with the reference project POCI-01-0145FEDER-006941.
文摘The aim of this work was to study the influence of the processing route on the microstructural constituents,hardness andtribological(wear and friction)behavior of Ti6Al4V biomedical alloy.In this sense,three different processing routes were studied:conventional casting,hot pressing and selective laser melting.A comprehensive metallurgical,mechanical and tribologicalcharacterization was performed by X-ray diffraction analysis,Vickers hardness tests and reciprocating ball-on-plate wear tests ofTi6Al4V/Al2O3sliding pairs.The results showed a great influence of the processing route on the microstructural constituents andconsequent differences on hardness and wear performance.The highest hardness and wear resistance were obtained for Ti6Al4Valloy produced by selective laser melting,due to a markedly different cooling rate that leads to significantly different microstructurewhen compared to hot pressing and casting.This study assesses and confirms that selective laser melting is potential to producecustomized Ti6Al4V implants with improved wear performance.
基金supported by National Natural Science Foundation of China (Grant No. 70931004,Grant No. 70802043)
文摘Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have not considered that the argument values may vary from profile to profile,which is common in practice.A novel nonparametric control scheme based on profile error is proposed for monitoring nonlinear profiles with varied argument values.The proposed scheme uses the metrics of profile error as the statistics to construct the control charts.More details about the design of this nonparametric scheme are also discussed.The monitoring performance of the combined control scheme is compared with that of alternative nonparametric methods via simulation.Simulation studies show that the combined scheme is effective in detecting parameter error and is sensitive to small shifts in the process.In addition,due to the properties of the charting statistics,the out-of-control signal can provide diagnostic information for the users.Finally,the implementation steps of the proposed monitoring scheme are given and applied for monitoring the blade manufacturing process.With the application in blade manufacturing of aircraft engines,the proposed nonparametric control scheme is effective,interpretable,and easy to apply.
基金Project supported by the University Science Park TECHNICOM for Innovation Applications supported by Knowledge Technology (313011D232)supported by the Research&Development Operational Programme funded by the ERDFVEGA1/0705/20,1/0404/21。
文摘We report on the magnetic,magnetocaloric,thermal,and electrical transport properties of Tb_(4)Coln alloy,which crystallizes in two phases,Tb_6Co_(2.1)In_(0.8)(space group Immm)and Tb_(2)In_(0.9)Co_(0.1)(space group P6_(3)/mmc),respectively.The alloy reveals three successive magnetic transitions around T_(1)(163 K),T_(2)(50 K),and T_(3)(29 K),respectively,associated with paramagnetic to ferromagnetic transition and two sequential antiferromagnetic transitions.The low-temperature transition T_(3) follows the first-order magnetic behavior and exhibits the field-induced magnetic transition.Meanwhile,T_(2) and T_(1) are found to be second-order in nature which opens a possibility for hysteresis-free magnetocaloric application.The magnetocaloric properties are determined using different magnetocaloric figures of merits such as-ΔS_(M),ΔT_(ad).RCP,and TEC(10).Additionally,the universal curve behavior in the isothermal entropy change unveils the variation in critical exponents around T_(1) and T_(2) due to the magnetic inhomogeneity in the alloy.Besides,the electrical transport properties of the metallic alloy denote the maximum magnetoresistance of-10%around T_(1).
文摘Turkey,containing three of the world’s biodiversity hotspots,is a hub for genetic biodiversity.However,the vegetation cover has drastically changed in recent decades as a result of substantial transformations in landuse practices.A map of the potential natural vegetation can be used to represent the biodiversity of a country,and therefore a reference to effectively develop conservation strategies.The multinomial logistic regression is used to simulate the probability of different biomes occurring in the country using elevation,climatological data and natural vegetation data.A correlation test was applied to the climatological data to determine which predictors influence vegetation the most.These were temperature,precipitation,relative humidity and cloudiness.The Ordinary Kriging method was employed to transform the data into the format for the multinomial logistic regression model.The model showed that temperature was the most influencing factor with respect to Turkey’s vegetation and distribution follows a similar distribution as the various macroclimates.Broadleaf forests are mostly found in the Black Sea region,which is also the wettest region of the country.The Marmara region is the only other region where there are broadleaf forests.Mixed forests and shrublands are mostly located in Central Anatolia due to the region’s low humidity which favours herbaceous flora.Coniferous forests were dominant in the Aegean and Mediterranean regions,attributed to high temperatures.
基金Supported by the Project of NINGBO Leading Medical Health Discipline,No.2022-B11Ningbo Natural Science Foundation,No.202003N4206Public Welfare Foundation of Ningbo,No.2021S108.
文摘BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.
基金supported by Nanjing Normal University’s New Liberal Arts Research and Reform Project in 2021.
文摘The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in improving the quality of language teaching and learning.Furthermore,these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition.In view of the favorable impact of emotional factors on the mental health of language teachers and learners,many educational scholars around the world have studied these factors,their background,and their pedagogical consequences.Nonetheless,the majority of previous studies have employed traditional research methods in assessing these variables and their influences on language teachers’and learners’mental health.Because of the complex and dynamic quality of emotional factors,traditional research approaches often fail to evaluate these factors and their dynamic,non-linear connections with teachers’and learners’mental health and well-being.Accordingly,some novel research approaches are required to measure the dynamicity and complexity of emotional factors in language education settings.To address this call,the current state-of-the-art conceptual article seeks to provide new insights for investigating emotional factors and their potential impact on language teachers’and learners’mental states.This study also intends to offer a comprehensive list of emerging methods that take into account the complex and dynamic nature of emotional variables.Finally,the study outlines the potential implications of this review for educational researchers.
基金the National Natural Science Foundation of China:Based on the"miR34a/Nampt-NAD+-TAC"Pathway to Study the Mechanism of Simultaneously Treating the Phlegm and Blood Stasis in the Regulation of Glycolipid(No.81873213)Study on the Mechanism of Simultaneously Treating the Phlegm and Blood Stasis on Glycolipid Metabolism Based on Intestinal Fat Absorption Regulated by miR-34a/Stat3-Nfil3 Pathway(82074308)+1 种基金a New Mechanism of Regulating the Amino Acid Metabolism of Type 2 Diabetes Mellitus with Dissipating Phlegm-Stasis:Based on the TCA Cycle-Mediated Transformation of"α-KG→Glutamate"(82274389)by Industry-University Cooperation Project for University in Fujian Province:Preparation of Monomeric Traditional Chinese Medicine Complexes Based on Nampt's Activation of Tricarboxylic Acid Cycle and Respiratory Chain to Interfere with Glycolipid Metabolism(2022Y41010015)。
文摘OBJECTIVE:To explore the mechanism of Dangua Fang(丹瓜方,DGR)in multi-target and multi-method regulation of glycolipid metabolism based on phosphoproteomics.METHODS:Sprague-Dawley rats with normal glucose levels were randomly divided into three groups,including a conventional diet control group(Group A),high-fat-highsugar diet model group(Group B),and DGR group(Group C,high-fat-high-sugar diet containing 20.5 g DGR).After 10 weeks of intervention,the fasting blood glucose(FBG),2 h blood glucose[PBG;using the oral glucose tolerance test(OGTT)],hemoglobin A1c(HbA1c),plasma total cholesterol(TC),and triglycerides(TG)were tested,and the livers of rats were removed to calculate the liver index.Then,hepatic portal TG were tested using the Gross permanent optimization-participatiory action planning enzymatic method and phosphoproteomics was performed using liquid chromatography with tandem mass spectrometry(LC-MS/MS)analysis followed by database search and bioinformatics analysis.Finally,cell experiments were used to verify the results of phosphoproteomics.Phosphorylated mitogen-activated protein kinase kinase kinase kinase 4(MAP4k4)and phosphorylated adducin 1(ADD1)were detected using western blotting.RESULTS:DGR effectively reduced PBG,TG,and the liver index(P<0.05),and significantly decreased HbA1c,TC,and hepatic portal TG(P<0.01),showed significant hematoxylin and eosin(HE)staining,red oil O staining,and Masson staining of liver tissue.The total spectrum was 805334,matched spectrum was 260471,accounting for accounting 32.3%,peptides were 19995,modified peptides were 14671,identified proteins were 4601,quantifiable proteins were 4417,identified sites were 15749,and quantified sites were 14659.Based on the threshold of expression fold change(>1.2),DGR upregulated the modification of 228 phosphorylation sites involving 204 corresponding function proteins,and downregulated the modification of 358 phosphorylation sites involving 358 corresponding function proteins,which included correcting 75 phosphorylation sites involving 64 corresponding function proteins relating to glycolipid metabolism.Therefore,DGR improved biological tissue processes,including information storage and processing,cellular processes and signaling,and metabolism.The metabolic functions regulated by DGR mainly include energy production and conversion,carbohydrate transport and metabolism,lipid transport and metabolism,inorganic ion transport and metabolism,secondary metabolite biosynthesis,transport,and catabolism.In vitro phosphorylation validation based on cell experiments showed that the change trends in the phosphorylation level of MAP4k4 and ADD1 were consistent with that of previous phosphoproteomics studies.CONCLUSION:DGR extensively corrects the modification of phosphorylation sites to improve corresponding glycolipid metabolism-related protein expression in rats with glycolipid metabolism disorders,thereby regulating glycolipid metabolism through a multi-target and multi-method process.
基金supported by the result of the Project implementation:University Science Park TECHNICOM for Innovation Applications Supported by Knowledge Technology(ITMS:26220220182)by the Research&Development Operational Programme funded by the ERDF and VEGA1/0956/17,VEGA 1/0611/18 and APVV-16-0079
文摘We report the results of magnetic, thermodynamic, transport and magnetocaloric effect (MCE) studies of newly synthesized Gd_(10)Co_(20)Si_(70) alloy. These measurements confirm an antiferromagnetic transition at T_N=9 K. Both MCE and magnetoresistance (MR) show quadratic dependence on the applied magnetic field, indicating the presence of spin fluctuations in the alloy. The maximum values of the magnetic entropy change determined from the isothermal magnetization data for magnetic field change of 7 and9 T are found to be 10.5 and 15.6 J/kg·K, respectively. As a consequence of the spin fluctuations effect, the MCE peaks are pulled towards high temperature side as asymmetrically broadened peak. The MR attains a large positive value of 73%at 2 K in 8 T. The large MR and reversible MCE make this alloy an attractive multifunctional magnetic material.
文摘Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods research that composed two distinct phases.Study 1 was quantitative research that helped to identify determinants of Chinese college students'continuance intention to use.A self-reported questionnaire was completed by 379 college students to ascertain their user experience.Study 2 was qualitative research.A semi-structured interview was conducted with a sample of 10 college students.Study 2 can be seen as a follow-up study and it pursued an in-depth understanding on how college students use fitness apps in the everyday life and their views towards study 1's major findings.Results:The results revealed that five factors(confirmed usefulness,confirmed ease of use,satisfaction,fitness achievement and social connection)were found to significantly and positively affect college students'continuous intention to use fitness apps.Entertainment did not show obvious impact.In the interview,college students reported that even if they don't obtain entertainment from fitness apps,they will still push themselves to use them,because they have a very specific goal when using fitness apps,which is to achieve health and fitness.Conclusion:These findings indicated that successful fitness apps should make users feel convenient to use and indeed improves the fitness user's efficiency.Besides,people are more eager to get the information with strong credibility with the negligible effort.This implies more efforts should be made to design apps that can provide high-quality services.Moreover,if apps designers can pay more attention to protecting the personal information and data,it will inspire more people to use social connection functions.
文摘Background:Hospitalized patients recovering from coronavirus disease 2019(COVID-19)may experience disability and suffer from significant physical and mental impairment requiring physical rehabilitation following their discharge.However,to date,no attempt has been made to collate and synthesize literature in this area.Objective:This systematic review examines the outcomes of different physical rehabilitation interventions tested in COVID-19 patients who were discharged from hospital.Search strategy:A systematic search of MEDLINE/PubMed,CINAHL,Scopus and medRxiv was conducted to identify articles published up to March 2022.Inclusion criteria:This systematic review included studies of outpatient rehabilitation programs for people recovering from COVID-19 who received physical activity,exercise,or breathing training to enhance or restore functional capacity,pulmonary function,quality of life,and mental health or function.Data extraction and analysis:Selection of included articles,data extraction,and methodological quality assessments were conducted by two review authors respectively,and consensus was reached through discussion and consultation with a third reviewer.Finally,we review the outcomes of studies based on four categories including:(1)functional capacity,(2)pulmonary function,(3)quality of life,and(4)mental health status.Results:A total of 7534 titles and abstracts were screened;10 cohort studies,4 randomized controlled trials and 13 other prospective studies involving 1583 patients were included in our review.Early physical rehabilitation interventions applied in COVID-19 patients who were discharged from the hospital improved multiple parameters related to functional capacity,pulmonary function,quality of life and mental health status.Conclusion:Physical rehabilitation interventions may be safe,feasible and effective in COVID-19 patients discharged from the hospital,and can improve a variety of clinically relevant outcomes.Further studies are warranted to determine the underlying mechanisms.
文摘Powerful alluvial rivers in the northern Alborz mountain ranges erode river banks due to having high slopes.Most of these rivers flow in forest areas.In this research,the rate of the river bank erosion was examined using the exposed roots of the trees.For this purpose,8 reaches of Lavij Stream were investigated.To determine the first year of root exposure,two sets of macroscopic and microscopic indicators were utilized.Accordingly,the rate of the stream bank erosion was estimated.The results were analyzed by using statistical test,which showed insignificant differences between the two groups of indicators.Due to its more abundance(frequency)on the margins and easy detection of its root through the exposure(macroscopic and microscopic)indicators,Alnus glutinosa(black alder)species could be more easily and accurately analyzed as compared with any other tree species in the region.The mean erosion rate of the riverbank using the extruded roots was estimated to be 0.08 m/yr.The hydrological analyses of flood flows showed that 95%of Lavij Stream bank erosion was caused by the river bank full discharges with a return period of 1-3 years.
文摘BACKGROUND The present study investigated perfectionism from the bioecological model perspective as a multidimensional construct manifested in forms of excessively high personal standards,exaggerated worries about personal mistakes,doubt in one’s performance,oversized order and organization emphasis,and the importance of parental valuations and expectations.AIM To investigate the relation between perfectionism;the quality of family,peer,and college relationships;and media usage and content interests.METHODS The research was implemented in 2020 with 203 students(134 female,66%)aged 18-25 years,enrolled at the University of Osijek in Croatia.The questionnaire had five parts:A)sociodemographic data;B)the Multidimensional Perfectionism Scale;C)the“general life satisfaction”and“current situational life satisfaction”scale;D)family,peer,and college relationships quality scale;and E)media usage and content interests scale.All of the implemented instruments showed satisfactory reliability.A hierarchical regression analysis was implemented with the aim of establishing significant perfectionism predictors.RESULTS Age and gender were significant predictors of perfectionism.Participants with lower family relationship quality reported higher parental expectations and complaining as well as significantly higher doubts in personal performance and concern about mistakes.Similarly,a lower peer relationship quality predicted doubts in personal performance and stronger concerns about mistakes.The quality of college relationships positively predicted higher perfectionist personal standards and organization.General life satisfaction predicted higher concerns about mistakes,while current situational life satisfaction predicted higher levels of perfectionist organization.Media usage intensity had no significant effect.Adolescent interest in information-educational media predicted higher personal standards as well as concern about mistakes and organization.Higher interests in entertainment media content predicted more concern about mistakes,while interest in negative media content negatively predicted organization in adolescents.CONCLUSION Sociodemographic traits,relationships with family,peers and colleagues,as well as life satisfaction and media content interests represent significant adolescent perfectionism predictors,explaining 14%-28%of individual perfectionism dimensions.
基金This research was funded by the Chinese Academy of Agricultural Science and Technology Innovation Program(CAASXTCX2016011-01ASTIP-IAS07)+1 种基金Talent Project of Guizhou University[(2018)06]and National Natural Science Foundation of China(31900275)We also acknowledge supports from CGIAR research programs on‘Forests,Trees and Agroforestry’(CRP6.2)and Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA20050204,XDA19050303).
文摘Wild fodder plants are valuable because they provide an important livestock feed resource globally,especially for smallholder farmers,and have important roles in natural resource management.In-depth knowledge of wild forage plants can motivate local people for feed resource and habitat conservation of threatened herbivores such as Mithun(Bos frontalis).Mithun occur in small patches in the mountains of Dulongjiang,nearby villagers domesticated this animal but left animal to freely graze in the mountains.Many fodder plants occur in these mountains,however,little is known about their nutritional value.We conducted an ethnobotanical survey to document important wild fodder plants consumed by mithun in the Dulongjiang Township.The nutritional content of 21 highly mentioned wild fodder plants in an ethnobotanical survey was examined.Laboratory analysis showed that Fagopyrum dibotrys were the fodder species with the highest crude protein(CP)content(26.89%),followed by Polygonum molle(21.88%)and Hydrangea longipes(21.12%).Synthesis of relative feed value index and grey relational grade,P.molle,H.longipes and Tetrastigma obtectum were ranked the top three nutritional fodders.There was a significant difference between 21 species on their in vitro digestibility and the most highly digestible fodder species was Elatostema hookerianum.Linear model analysis on relationship between frequency of citation of 21 wild forage plants by local farmers and their nutrient composition showed that the frequency was significantly positively correlated with the nutritional value of the feed(R2?0.28,P<0.05).We concluded that these species have high nutritional values to improve mithun production in integrated crop-livestock systems.Fodder species or mixtures of species with useful nutritional characters could be cultivated to improve livestock productivity,habitat conservation including that of mithun and wild forage resource management.
