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
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
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
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
This study presents a single-class and multi-class instance segmentation approach applied to ancient Palmyrene inscriptions,employing two state-of-the-art deep learning algorithms,namely YOLOv8 and Roboflow 3.0.The go...This study presents a single-class and multi-class instance segmentation approach applied to ancient Palmyrene inscriptions,employing two state-of-the-art deep learning algorithms,namely YOLOv8 and Roboflow 3.0.The goal is to contribute to the preservation and understanding of historical texts,showcasing the potential of modern deep learning methods in archaeological research.Our research culminates in several key findings and scientific contributions.We comprehensively compare the performance of YOLOv8 and Roboflow 3.0 in the context of Palmyrene character segmentation—this comparative analysis mainly focuses on the strengths and weaknesses of each algorithm in this context.We also created and annotated an extensive dataset of Palmyrene inscriptions,a crucial resource for further research in the field.The dataset serves for training and evaluating the segmentation models.We employ comparative evaluation metrics to quantitatively assess the segmentation results,ensuring the reliability and reproducibility of our findings and we present custom visualization tools for predicted segmentation masks.Our study advances the state of the art in semi-automatic reading of Palmyrene inscriptions and establishes a benchmark for future research.The availability of the Palmyrene dataset and the insights into algorithm performance contribute to the broader understanding of historical text analysis.展开更多
While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,littl...While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,little research explores the measures to quantify L2 speaking demotivation.The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale(ESDS).To this end,an independent sample of 207 Chinese tertiary learners of English as a Foreign Language(EFL)participated in the development phase,and another group of 188 Chinese EFL learners was recruited for the validation of the scale.Exploratory Factor Analysis(EFA)and Confirmatory Factor Analysis(CFA)were employed to determine the factor structure of the scale.The EFA results revealed a six-factor solution with Teacher-related Factors in Learning Spoken English(TFLSE),Interest and Valence in Learning Spoken English(IVLSE),Self-efficacy in Learning Spoken English(SELSE),Negative Peer Influence in Learning Spoken English(NPILSE),Undesirable Environment for Learning Spoken English(UELSE),and Negative Influence of Assessment and Learning Materials in speaking class(NIALM).In the validation phase,Confirmatory Factor Analysis(CFA)was performed to validate the internal structure of the scale.The CFA results showed that the model fits the data well.Overall,the ESDS is a robust and trustworthy psychometric tool that could be utilized to examine L2 speaking demotivation.Implications for diminishing EFL learners’demotivation,lessening their aversive emotions and promoting their mental health are also discussed.展开更多
With the deepening of the curriculum teaching reform in colleges and universities,the teaching reform of art design professional courses is imperative.The study found that the current art design professional font desi...With the deepening of the curriculum teaching reform in colleges and universities,the teaching reform of art design professional courses is imperative.The study found that the current art design professional font design course teaching there are more solidified teaching methods,students operating ability is relatively homogenised,the teaching content to the"westernised"based,resulting in poor adaptability of students and other prominent problems.This paper starts from the"three effects"of"effect","efficiency"and"effectiveness",and adopts a multi-dimensional and emotional thinking perspective to carry out the curriculum of typeface design.This paper starts from the"three effects"of"effect","efficiency"and"effectiveness",and adopts a multi-dimensional and emotional perspective of thinking to carry out the teaching and practice of typeface design in order to strengthen the visual information of Chinese culture,and at the same time,to explore the creative potential of the students,so as to improve the students'innovation and creativity.展开更多
This study investigates the prediction of groundwater Storage in the Rabat-Sale-Kenitra region under climate change conditions using advanced machine learning models.A comprehensive dataset encompassing hydrological,m...This study investigates the prediction of groundwater Storage in the Rabat-Sale-Kenitra region under climate change conditions using advanced machine learning models.A comprehensive dataset encompassing hydrological,meteorological,and geological factors was meticulously curated and preprocessed for model training.Six regression models Decision Tree,Random Forest,LightGBM,CatBoost,Extreme Learning Machine(ELM),and Artificial Neural Network(ANN)were employed to predict groundwater Storage,with hyperparameters optimized via grid search.The performance of these models was rigorously evaluated using metrics such as Root Mean Squared Error(RMSE),Mean Absolute Error(MAE),and the coefficient of determination(R^(2)).Results demonstrated that the LightGBM model outperformed the others,achieving an impressive testing RMSE of 3.07 and an R^(2)of 0.9997,indicating its robustness in handling large datasets.The Extreme Learning Machine and ANN showed considerable limitations,highlighting the importance of model selection.This research underscores the critical role of advanced machine learning techniques in enhancing groundwater resource management,providing valuable insights for policymakers in developing sustainable strategies to address groundwater challenges in the face of climate variability.展开更多
Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-secti...Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-sectional study was conducted in 2024,involved face-to-face interviews with 423 participants in Ho Chi Minh City.The participants were divided into two groups:parents of children under six and individuals without young children.WTP for the HFMD vaccine was assessed using the Krinsky and Robb procedure and the double-bound dichotomous choice technique.A probit regression model was used to analyze factors influencing WTP.Results:The participants had a mean age of(34.0±10.3)years,and the majority of them were female,resided in urban areas,and held a university degree.54.6%had children under six years of age,and 63.8%had never heard of the EV71 vaccine.The mean WTP for two doses of the HFMD vaccine was VND 1240000(USD 51.66).Parents of children under six years old had a mean WTP of USD 49.16,while individuals without young children had a mean WTP of USD 56.25.Significant factors that were positively associated with WTP included vaccine price,younger age,higher income,and greater knowledge about vaccines.Conclusions:The study indicates a relatively high willingness to pay for HFMD vaccination in Ho Chi Minh City,suggesting strong potential for vaccine implementation.It is recommended that the government disseminate vaccine-related information to enhance public awareness and understanding.展开更多
Objective:HIV has infected approximately 75 million people worldwide with over half dying from AIDS-related diseases.This study aimed to determine individuals'willingness to pay(WTP)for future HIV vaccines.Methods...Objective:HIV has infected approximately 75 million people worldwide with over half dying from AIDS-related diseases.This study aimed to determine individuals'willingness to pay(WTP)for future HIV vaccines.Methods:A cross sectional study was conducted in December 2022 in Southern Vietnam with 1675 face-to-face interviews.WTP was determined using the contingent valuation method with two bidding games under three vaccine efficacy scenarios(high,medium,low)for both self-vaccination and child vaccination.Results:Among 1655 valid respondents,553 were willing to pay for their children's vaccination.Overall,the WTP of adults for the HIV vaccine was(4961264±3793652)VND(23700 VND=1 US dollar).The WTP of parents is(4947799±4930721)VND for self-vaccination and(4865399±4064567)VND for vaccinating their children.Average WTP decreased with lower vaccine efficacy and lower bid prices.Education level,marital status,occupation,and monthly income were significantly associated with WTP for all vaccination types.Conclusions:In this study,high WTP rates and numerous individuals willing to pay for HIV vaccines were found.These findings can help decision-makers understand factors influencing WTP for future HIV vaccines and provide evidence for developing funding programs and budgeting plans for introducing such vaccines in Vietnam.展开更多
This study presents a numerical investigation of shallow water wave dynamics with particular emphasis on the role of surface tension.In the absence of surface tension,shallow water waves are primarily driven by gravit...This study presents a numerical investigation of shallow water wave dynamics with particular emphasis on the role of surface tension.In the absence of surface tension,shallow water waves are primarily driven by gravity and are well described by the classical Boussinesq equation,which incorporates fourth-order dispersion.Under this framework,solitary and shock waves arise through the balance of nonlinearity and gravity-induced dispersion,producing waveforms whose propagation speed,amplitude,and width depend largely on depth and initial disturbance.The resulting dynamics are comparatively smoother,with solitary waves maintaining coherent structures and shock waves displaying gradual transitions.When surface tension is incorporated,however,the dynamics become significantly richer.Surface tension introduces additional sixth-order dispersive terms into the governing equation,extending the classical model to the sixth-order Boussinesq equation.This higher-order dispersion modifies the balance between nonlinearity and dispersion,leading to sharper solitary wave profiles,altered shock structures,and a stronger sensitivity of wave stability to parametric variations.Surface tension effects also change the scaling laws for wave amplitude and velocity,producing conditions where solitary waves can narrow while maintaining large amplitudes,or where shock fronts steepen more rapidly compared to the tension-free case.These differences highlight how capillary forces,though often neglected in macroscopic wave studies,play a fundamental role in shaping dynamics at smaller scales or in systems with strong fluid–interface interactions.The analysis in this work is carried out using the Laplace-Adomian Decomposition Method(LADM),chosen for its efficiency and accuracy in solving high-order nonlinear partial differential equations.The numerical scheme successfully recovers both solitary and shock wave solutions under the sixth-order model,with error analysis confirming remarkably low numerical deviations.These results underscore the robustness of the method while demonstrating the profound contrast between shallow water wave dynamics without and with surface tension.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
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
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
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 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 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The results and knowledge included herein have been obtained owing to support from the following institutional grant.Internal grant agency of the Faculty of Economics and Management,Czech University of Life Sciences Prague,Grant No.2023A0004-“Text Segmentation Methods of Historical Alphabets in OCR Development”.https://iga.pef.czu.cz/.Funds were granted to T.Novák,A.Hamplová,O.Svojše,and A.Veselýfrom the author team.
文摘This study presents a single-class and multi-class instance segmentation approach applied to ancient Palmyrene inscriptions,employing two state-of-the-art deep learning algorithms,namely YOLOv8 and Roboflow 3.0.The goal is to contribute to the preservation and understanding of historical texts,showcasing the potential of modern deep learning methods in archaeological research.Our research culminates in several key findings and scientific contributions.We comprehensively compare the performance of YOLOv8 and Roboflow 3.0 in the context of Palmyrene character segmentation—this comparative analysis mainly focuses on the strengths and weaknesses of each algorithm in this context.We also created and annotated an extensive dataset of Palmyrene inscriptions,a crucial resource for further research in the field.The dataset serves for training and evaluating the segmentation models.We employ comparative evaluation metrics to quantitatively assess the segmentation results,ensuring the reliability and reproducibility of our findings and we present custom visualization tools for predicted segmentation masks.Our study advances the state of the art in semi-automatic reading of Palmyrene inscriptions and establishes a benchmark for future research.The availability of the Palmyrene dataset and the insights into algorithm performance contribute to the broader understanding of historical text analysis.
基金the Humanities and Social Sciences Project,China’s Ministry of Education(Grant Number:22YJA740016)the Key Project of Hubei Provincial Department of Education Philosophy and Social Science Research Fund(No.21ZD051)the Teaching and Research Fund of Hubei University of Technology(No.Xiao2022018).
文摘While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language(L2)education,scanty research focuses on demotivation in L2 speaking learning.Particularly,little research explores the measures to quantify L2 speaking demotivation.The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale(ESDS).To this end,an independent sample of 207 Chinese tertiary learners of English as a Foreign Language(EFL)participated in the development phase,and another group of 188 Chinese EFL learners was recruited for the validation of the scale.Exploratory Factor Analysis(EFA)and Confirmatory Factor Analysis(CFA)were employed to determine the factor structure of the scale.The EFA results revealed a six-factor solution with Teacher-related Factors in Learning Spoken English(TFLSE),Interest and Valence in Learning Spoken English(IVLSE),Self-efficacy in Learning Spoken English(SELSE),Negative Peer Influence in Learning Spoken English(NPILSE),Undesirable Environment for Learning Spoken English(UELSE),and Negative Influence of Assessment and Learning Materials in speaking class(NIALM).In the validation phase,Confirmatory Factor Analysis(CFA)was performed to validate the internal structure of the scale.The CFA results showed that the model fits the data well.Overall,the ESDS is a robust and trustworthy psychometric tool that could be utilized to examine L2 speaking demotivation.Implications for diminishing EFL learners’demotivation,lessening their aversive emotions and promoting their mental health are also discussed.
基金Research Project on Undergraduate Education Reform at Sichuan Agricultural University in 2023.Project Number:X2023Research on Branding of Sichuan Industrial Cultural Heritage under the Perspective of‘Cultural Confidence’(Project No.WHCY2021B13)Research on Upgrading of Sichuan Tea Brand Based on Service Design Thinking——Taking Qingcheng Tea as an Example(Project No.2205).
文摘With the deepening of the curriculum teaching reform in colleges and universities,the teaching reform of art design professional courses is imperative.The study found that the current art design professional font design course teaching there are more solidified teaching methods,students operating ability is relatively homogenised,the teaching content to the"westernised"based,resulting in poor adaptability of students and other prominent problems.This paper starts from the"three effects"of"effect","efficiency"and"effectiveness",and adopts a multi-dimensional and emotional thinking perspective to carry out the curriculum of typeface design.This paper starts from the"three effects"of"effect","efficiency"and"effectiveness",and adopts a multi-dimensional and emotional perspective of thinking to carry out the teaching and practice of typeface design in order to strengthen the visual information of Chinese culture,and at the same time,to explore the creative potential of the students,so as to improve the students'innovation and creativity.
文摘This study investigates the prediction of groundwater Storage in the Rabat-Sale-Kenitra region under climate change conditions using advanced machine learning models.A comprehensive dataset encompassing hydrological,meteorological,and geological factors was meticulously curated and preprocessed for model training.Six regression models Decision Tree,Random Forest,LightGBM,CatBoost,Extreme Learning Machine(ELM),and Artificial Neural Network(ANN)were employed to predict groundwater Storage,with hyperparameters optimized via grid search.The performance of these models was rigorously evaluated using metrics such as Root Mean Squared Error(RMSE),Mean Absolute Error(MAE),and the coefficient of determination(R^(2)).Results demonstrated that the LightGBM model outperformed the others,achieving an impressive testing RMSE of 3.07 and an R^(2)of 0.9997,indicating its robustness in handling large datasets.The Extreme Learning Machine and ANN showed considerable limitations,highlighting the importance of model selection.This research underscores the critical role of advanced machine learning techniques in enhancing groundwater resource management,providing valuable insights for policymakers in developing sustainable strategies to address groundwater challenges in the face of climate variability.
文摘Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-sectional study was conducted in 2024,involved face-to-face interviews with 423 participants in Ho Chi Minh City.The participants were divided into two groups:parents of children under six and individuals without young children.WTP for the HFMD vaccine was assessed using the Krinsky and Robb procedure and the double-bound dichotomous choice technique.A probit regression model was used to analyze factors influencing WTP.Results:The participants had a mean age of(34.0±10.3)years,and the majority of them were female,resided in urban areas,and held a university degree.54.6%had children under six years of age,and 63.8%had never heard of the EV71 vaccine.The mean WTP for two doses of the HFMD vaccine was VND 1240000(USD 51.66).Parents of children under six years old had a mean WTP of USD 49.16,while individuals without young children had a mean WTP of USD 56.25.Significant factors that were positively associated with WTP included vaccine price,younger age,higher income,and greater knowledge about vaccines.Conclusions:The study indicates a relatively high willingness to pay for HFMD vaccination in Ho Chi Minh City,suggesting strong potential for vaccine implementation.It is recommended that the government disseminate vaccine-related information to enhance public awareness and understanding.
文摘Objective:HIV has infected approximately 75 million people worldwide with over half dying from AIDS-related diseases.This study aimed to determine individuals'willingness to pay(WTP)for future HIV vaccines.Methods:A cross sectional study was conducted in December 2022 in Southern Vietnam with 1675 face-to-face interviews.WTP was determined using the contingent valuation method with two bidding games under three vaccine efficacy scenarios(high,medium,low)for both self-vaccination and child vaccination.Results:Among 1655 valid respondents,553 were willing to pay for their children's vaccination.Overall,the WTP of adults for the HIV vaccine was(4961264±3793652)VND(23700 VND=1 US dollar).The WTP of parents is(4947799±4930721)VND for self-vaccination and(4865399±4064567)VND for vaccinating their children.Average WTP decreased with lower vaccine efficacy and lower bid prices.Education level,marital status,occupation,and monthly income were significantly associated with WTP for all vaccination types.Conclusions:In this study,high WTP rates and numerous individuals willing to pay for HIV vaccines were found.These findings can help decision-makers understand factors influencing WTP for future HIV vaccines and provide evidence for developing funding programs and budgeting plans for introducing such vaccines in Vietnam.
文摘This study presents a numerical investigation of shallow water wave dynamics with particular emphasis on the role of surface tension.In the absence of surface tension,shallow water waves are primarily driven by gravity and are well described by the classical Boussinesq equation,which incorporates fourth-order dispersion.Under this framework,solitary and shock waves arise through the balance of nonlinearity and gravity-induced dispersion,producing waveforms whose propagation speed,amplitude,and width depend largely on depth and initial disturbance.The resulting dynamics are comparatively smoother,with solitary waves maintaining coherent structures and shock waves displaying gradual transitions.When surface tension is incorporated,however,the dynamics become significantly richer.Surface tension introduces additional sixth-order dispersive terms into the governing equation,extending the classical model to the sixth-order Boussinesq equation.This higher-order dispersion modifies the balance between nonlinearity and dispersion,leading to sharper solitary wave profiles,altered shock structures,and a stronger sensitivity of wave stability to parametric variations.Surface tension effects also change the scaling laws for wave amplitude and velocity,producing conditions where solitary waves can narrow while maintaining large amplitudes,or where shock fronts steepen more rapidly compared to the tension-free case.These differences highlight how capillary forces,though often neglected in macroscopic wave studies,play a fundamental role in shaping dynamics at smaller scales or in systems with strong fluid–interface interactions.The analysis in this work is carried out using the Laplace-Adomian Decomposition Method(LADM),chosen for its efficiency and accuracy in solving high-order nonlinear partial differential equations.The numerical scheme successfully recovers both solitary and shock wave solutions under the sixth-order model,with error analysis confirming remarkably low numerical deviations.These results underscore the robustness of the method while demonstrating the profound contrast between shallow water wave dynamics without and with surface tension.
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 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.
