Effect of exercise prescription teaching on exercise quality and mental health status of college students

BACKGROUND The teaching mode of fitness exercise prescriptions for college students in physical education conforms to the scientific principles and rules of fitness,which can adapt to the characteristics of students’individual physiological functions and stimulate their interest in learning.AIM To analyze the effect of prescribed exercise teaching on the sports quality and mental health of college students.METHODS The participants of the study were 240 students in our class of 2021,of which 142 were men and 98 were women.The 240 students were randomly divided into an experimental group using the exercise prescription teaching model and a control group using the conventional teaching model.The experimental and control groups were divided into four classes of 30 students each.The teaching activities of the two teaching mode groups were strictly controlled,and the same tests were used before and after the experiment to test the subjects’exercise quality(including standing long jump,50 m race,800 m race,sit-ups,sit-and-reach),physical form(including height,weight,Ketorolai index),cardiopulmonary function(including heart rate,blood pressure,spirometry,12-min running distance,maximum oxygen intake)and mental health(SCL-90,including somatization,obsessive-compulsive,interpersonal,depression,anxiety,hostility,phobia,paranoia,psychotic symptoms)to understand the effects of the exercise prescription teaching mode on students’physical and mental health status.RESULTS There were differences in the exercise scores of standing long jump,50 m,800 m/1000 m running,sit-ups,and sit-and-reach in the experimental group after the experiment compared with those before the experiment,and the above indices of the experimental group were different from those of the control group after the experiment(P<0.05).There were differences in body weight and Ketorolai index in the experimental group after the experiment compared to those before the experiment,and the indices of the experimental group were also different from those of the control group after the experiment(P<0.05).After the experiment,there were differences in spirometry,12-min running distance,and maximum oxygen intake in the experimental group compared to those before the experiment,and the indices of the experimental group were also different from those of the control group after the experiment(P<0.05).After the experiment,the indicators of somatization,interpersonal sensitivity,depression,anxiety,and hostility in the experimental group were different from those in the pre-experimental group,and the indexes of the experimental group were also different from those of the control group after the experiment(P<0.05).CONCLUSION Exercise prescription teaching can mobilize college students’consciousness,enthusiasm,and initiative;expand personalities;enhance physical fitness and improve their mental health more than the conventional fitness exercise prescription teaching method.

Current Situation and Discussion of “Going Abroad” in Higher Vocational Colleges Under the Background of the Belt and Road Initiative

The Belt and Road Initiative has brought unprecedented development opportunities for domestic higher vocational colleges to“go abroad,”but it has also brought severe challenges.Driven by the Belt and Road Initiative,the development of higher vocational colleges“going abroad”has been confronted with a series of challenges,including the imperfect connection of policies,the lack of internal funds,as well as international standards,which are important factors affecting their development.Therefore,it is necessary to start from three aspects,which are policy guarantee,financing,and docking international standards.Through in-depth study of“going abroad”with tthe Belt and Road Initiative,we can effectively reduce the adverse impact of“going abroad”and provide a better and more innovative development environment for higher vocational colleges.

Optimization Strategies for Art Education in Colleges and Universities from the Perspective of Education

With the development of the field of education,art education has become one of the indispensable disciplines in colleges and universities.In order to further strengthen students’comprehensive ability and improve their core literacy,colleges and universities need to optimize the existing art education from the perspective of education.Therefore,the optimization path of art education in colleges and universities is studied from the perspective of education.First,by discussing the value of art education in colleges and universities,analyzing the current situation of art education in local colleges and universities,and then discussing the optimization strategies for art education in colleges and universities from the perspective of education,a systematic summary is made for reference.

Image Recognition Model of Fraudulent Websites Based on Image Leader Decision and Inception-V3 Transfer Learning

The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current research on image recognition of fraudulent websites is mainly carried out at the level of image feature extraction and similarity study,which have such disadvantages as difficulty in obtaining image data,insufficient image analysis,and single identification types.This study develops a model based on the entropy method for image leader decision and Inception-v3 transfer learning to address these disadvantages.The data processing part of the model uses a breadth search crawler to capture the image data.Then,the information in the images is evaluated with the entropy method,image weights are assigned,and the image leader is selected.In model training and prediction,the transfer learning of the Inception-v3 model is introduced into image recognition of fraudulent websites.Using selected image leaders to train the model,multiple types of fraudulent websites are identified with high accuracy.The experiment proves that this model has a superior accuracy in recognizing images on fraudulent websites compared to other current models.

THE LIMITING PROFILE OF SOLUTIONS FOR SEMILINEAR ELLIPTIC SYSTEMS WITH A SHRINKING SELF-FOCUSING CORE

In this paper,we consider the semilinear elliptic equation systems{△u+u=αQ_(n)(x)|u|^(α-2)|v|^(β)u in R^(N),-△v+v=βQ(x)|u|^(α)|v|^(β-2)v in R^(N),where N≥3,α,β>1,α+β<2^(*),2^(*)=2N/N-2 and Q_(n) are bounded given functions whose self-focusing cores{x∈R^(N)|Q_(n)(x)>0} shrink to a set with finitely many points as n→∞.Motivated by the work of Fang and Wang[13],we use variational methods to study the limiting profile of ground state solutions which are concentrated at one point of the set with finitely many points,and we build the localized concentrated bound state solutions for the above equation systems.

Source Camera Identification Algorithm Based on Multi-Scale Feature Fusion

The widespread availability of digital multimedia data has led to a new challenge in digital forensics.Traditional source camera identification algorithms usually rely on various traces in the capturing process.However,these traces have become increasingly difficult to extract due to wide availability of various image processing algorithms.Convolutional Neural Networks(CNN)-based algorithms have demonstrated good discriminative capabilities for different brands and even different models of camera devices.However,their performances is not ideal in case of distinguishing between individual devices of the same model,because cameras of the same model typically use the same optical lens,image sensor,and image processing algorithms,that result in minimal overall differences.In this paper,we propose a camera forensics algorithm based on multi-scale feature fusion to address these issues.The proposed algorithm extracts different local features from feature maps of different scales and then fuses them to obtain a comprehensive feature representation.This representation is then fed into a subsequent camera fingerprint classification network.Building upon the Swin-T network,we utilize Transformer Blocks and Graph Convolutional Network(GCN)modules to fuse multi-scale features from different stages of the backbone network.Furthermore,we conduct experiments on established datasets to demonstrate the feasibility and effectiveness of the proposed approach.

Research on the Impact of BYD Group’s Green Innovation on Corporate Financial Performance under the Background of“Dual Carbon”

With the increasingly severe global climate change problem,the“dual carbon”goals(peak carbon emissions and carbon neutrality)have become a common focus of international attention.The report of the 20th National Congress of the Communist Party of China clearly emphasizes the need to accelerate the green transformation of development models,implement comprehensive strategies for frugal development,support the growth of green and low-carbon industries,and promote the concept of green consumption.At the same time,“Made in China 2025”also elaborates on the strategic concept of innovation-driven and green development centered,and strives for breakthroughs in key industries such as new energy vehicles.In such a macro environment,adopting green innovation measures by enterprises not only contributes to ecological protection but also has an undeniable impact on their economic performance and overall value.This article takes BYD Group as a case study to explore in detail the positive effects of green innovation on its economic performance.We first systematically organized and analyzed BYD’s specific practices in green innovation;Then,by examining three key financial indicators,BYD’s current financial situation was analyzed in depth;On this basis,combined with research data,the positive impact of green innovation on BYD’s financial performance was revealed;Finally,based on the analysis results,relevant suggestions are proposed to provide reference for the sustainable development of enterprises in the context of“dual carbon.”

Research Analysis on the Microscopic Properties and Damping Performance of Carbon Nanomaterial-Modified Cement Mortar

The application of carbon nanomaterials, particularly graphene and carbon nanotubes, in cement-based composites is highly significant. These materials demonstrate the multifunctionality of carbon and offer extensive possibilities for technological advancements. This research analyzes how the integration of graphene into cement-based composites enhances damping and mechanical properties, thereby contributing to the safety and durability of structures. Research on carbon nanomaterials is ongoing and is expected to continue driving innovation across various industrial sectors, promoting the sustainable development of building materials.

The Influence of Carbon Nanotubes and Nano-Silica Fume on Enhancing the Damping and Mechanical Properties of Cement-Based Materials

This paper conducted experimental studies on the damping and mechanical properties of carbon nanotube-nanosilica-cement composite materials with different carbon nanotube contents. The damping and mechanical properties enhancement mechanisms were analyzed and compared through the porosity structure test, XRD analysis, and scanning electron microscope observation. The results show that the introduction of nanosilica significantly improves the dispersion of carbon nanotubes in the cement matrix. At the same time, the addition of nanosilica not only effectively reduces the critical pore size and average pore size of the cement composite material, but also exhibits good synergistic effects with carbon nanotubes, which can significantly optimize the pore structure. Finally, a rationalization suggestion for the co-doping of nanosilica and carbon nanotubes was given to achieve a significant increase in the flexural strength, compressive strength and loss factor of cement-based materials.

Causal roles of gut microbiota in cholangiocarcinoma etiology suggested by genetic study

BACKGROUND Cholangiocarcinoma(CCA)is a highly malignant biliary tract cancer with poor prognosis.Previous studies have implicated the gut microbiota in CCA,but evidence for causal mechanisms is lacking.AIM To investigate the causal relationship between gut microbiota and CCA risk.METHODS We performed a two-sample mendelian randomization study to evaluate potential causal associations between gut microbiota and CCA risk using genome-wide association study summary statistics for 196 gut microbial taxa and CCA.Genetic variants were used as instrumental variables.Multiple sensitivity analyses assessed result robustness.RESULTS Fifteen gut microbial taxa showed significant causal associations with CCA risk.Higher genetically predicted abundance of genus Eubacteriumnodatum group,genus Ruminococcustorques group,genus Coprococcus,genus Dorea,and phylum Actinobacteria were associated with reduced risk of gallbladder cancer and extrahepatic CCA.Increased intrahepatic CCA risk was associated with higher abundance of family Veillonellaceae,genus Alistipes,order Enterobacteriales,and phylum Firmicutes.Protective effects against CCA were suggested for genus Collinsella,genus Eisenbergiella,genus Anaerostipes,genus Paraprevotella,genus Parasutterella,and phylum Verrucomicrobia.Sensitivity analyses indicated these findings were reliable without pleiotropy.CONCLUSION This pioneering study provides novel evidence that specific gut microbiota may play causal roles in CCA risk.Further experimental validation of these candidate microbes is warranted to consolidate causality and mechanisms.

Analysis on Consumption Behavior of Zhejiang Province's Farmers from the Perspective of Their Income Increase

With rapid development of industrialization in Zhejiang Province, surplus rural labor forces move to the secondary and tertiary industries. Farmers of Zhejiang Province are no exception. They turn to industrial workers and their income source has great changes. Wage income becomes their major source of income. Accordingly, farmers' consumption behavior has great changes. Apart from satisfying basic production and living demands, farmers start to pursue living quality and their life style tends to urbanization. Nevertheless, under the influence of rural physical environment, policies and systems, the existing consumption environment fails to follow farmers' urban lifestyle any more. In line with how to optimize rural consumption environment, improve farmers' consuming capacity, continue to expand farmers' consumption and promote urbanization development of rural areas, this paper presents pertinent countermeasures and recommendations.

Study on the Industrial Structure and Peasants' Income in the Mountainous Areas in Zhejiang Province

With the constant increase of farmers' incomes, the declining ratio of low-income farmers and the development of rural economy in the mountainous areas of Zhejiang Province, the farmers gain much more transfer income from the secondary allocation and their lives were greatly improved. But due to the uneven economic development, the agricultural development level of different land forms differs greatly and there is still a large gap between the incomes of urban and rural residents. In this paper, through an in-depth analysis of the farmers' income, agricultural industrial structure and urban-rural income gap in different mountainous areas of Zhejiang Province, some advices were proposed to increase the farmers' incomes.

How College Students Suicide Exists: Three Standpoints of Death

At present,suicide behaviors of college students frequently occur in colleges,but the problem of why college students suicide has always plagued many college educators.From the perspective of Levinas’view of existence,suicide is the last control that people can have over existence.Suicide includes a person’s three mental states:exhaustion,laziness,and boredom,and it can orderly induce three standpoints of death:“I have to die”,“I want to die”,and“I am going to die”.Knowing the problems of suicide is helpful to help college educators better understand the suicidal behavior of college students and help them better carry out the life education of college students.

Research on the Influencing Factors and Countermeasures of Independent College Enrollment in the New Era

With the deepening of the reform process of the new college entrance examination,the enrollment of Independent Colleges in the new period is facing greater difficulties and challenges.Meanwhile,with the novel coronavirus pneumonia epidemic spreading in 2020 and the urgent demand of Independent Colleges'transformation work,enrollment is full of uncertainty.Based on this,the purpose of this study is to deeply analyze the plight,current situation and related research deficiencies of independent college enrollment work in the new period,and put forward the ways and direction of improvement,hoping to provide some reference for the enrollment work in the transition of independent college.

着火位置与车窗破裂耦合作用下的车厢火灾机理研究

为了研究着火位置和车窗破裂对车厢火灾蔓延的影响机理,本文通过火灾动力学软件(FDS)对火车车厢火灾开展了一系列的数值模拟。研究考虑了四个着火位置,车窗玻璃破裂的触发温度被设定为400℃。火灾模型监测了温度、热释放速率(HRR)、破窗时间和火焰传播等参数。研究发现,火源位置和窗户破裂通过改变车厢的通风来影响火灾的发展。当火灾发生在车厢中部时,热释放速率和燃烧强度都比火源位于车厢两端时大。火灾释放的高温会导致窗户破损,增加通风口面积,进而加剧车厢内可燃物的燃烧。通风是车厢火灾演变的一个关键因素,引入通风系数变化率来描述热释放率和窗户破裂之间的关系。因此,应尽可能避免车厢与外界的空气流通,并加强车厢内的火灾探测和报警,以提高灭火和应急救援能力。

Multimodal Fraudulent Website Identification Method Based on Heterogeneous Model Ensemble

The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimension and venerability to anti-reconnaissance,this paper adopts the Stacking,the ensemble learning algorithm,combines multiple modalities such as text,image and URL,and proposes a multimodal fraudulent website identification method by ensembling heterogeneous models.Crossvalidation is first used in the training of multiple largely different base classifiers that are strong in learning,such as BERT model,residual neural network(ResNet)and logistic regression model.Classification of the text,image and URL features are then performed respectively.The results of the base classifiers are taken as the input of the meta-classifier,and the output of which is eventually used as the final identification.The study indicates that the fusion method is more effective in identifying fraudulent websites than the single-modal method,and the recall is increased by at least 1%.In addition,the deployment of the algorithm to the real Internet environment shows the improvement of the identification accuracy by at least 1.9%compared with other fusion methods.

A molecular toolkit to boost functional genomic studies in transformation-recalcitrant vegetable legumes

Dear Editor Legumes,the second-largest family of crops,contribute over one-third of human dietary proteins.Soybean(Glycine max L.),common bean(Phaseolus vulgaris L.),pea(Pisum sativum L.),and cowpea(Vigna unguiculata L.)are among the most widely culti-vated crop legumes for grain and vegetable and are essential for food security globally.

Bedside ultrasound-guided water injection assists endoscopically treatment in esophageal perforation caused by foreign bodies: A case report

BACKGROUND Fishbone migration from the esophagus to the neck is relatively uncommon in clinical practice.Several complications secondary to esophageal perforation after ingestion of a fishbone have been described in the literature.Typically,a fishbone is detected and diagnosed by imaging examination and is usually removed by a neck incision.CASE SUMMARY Herein,we report a case of a 76-year-old patient with a fishbone in the neck that had migrated from the esophagus and that was in close proximity to the common carotid artery,and the patient experienced dysphagia.An endoscopically-guided neck incision was made over the insertion point in the esophagus,but the surgery failed due to having a blurred image at the insertion site during the operation.After injection of normal saline laterally to the fishbone in the neck under ultrasound guidance,the purulent fluid outflowed to the piriform recess along the sinus tract.With endoscopic guidance,the position of the fish bone was precisely located along the direction of liquid outflow,the sinus tract was separated,and the fish bone was removed.To the best of our knowledge,this is the first case report describing bedside ultrasound-guided water injection positioning combined with endoscopy in the treatment of a cervical esophageal perforation with an abscess.CONCLUSION In conclusion,the fishbone could be located by the water injection method under the guidance of ultrasound and could be accurately located along the outflow direction of the purulent fluid of the sinus by the endoscope and was removed by incising the sinus.This method can be a nonoperative treatment option for foreign body-induced esophageal perforation.

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Ceramic tiles are one of the most indispensable materials for interior decoration.The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures.In this paper,we propose a sketch-based generation method for generating diverse ceramic tile images based on a hand-drawn sketches using Generative Adversarial Network(GAN).The generated tile images can be tailored to meet the specific needs of the user for the tile textures.The proposed method consists of four steps.Firstly,a dataset of ceramic tile images with diverse distributions is created and then pre-trained based on GAN.Secondly,for each ceramic tile image in the dataset,the corresponding sketch image is generated and then the mapping relationship between the images is trained based on a sketch extraction network using ResNet Block and jump connection to improve the quality of the generated sketches.Thirdly,the sketch style is redefined according to the characteristics of the ceramic tile images and then double cross-domain adversarial loss functions are employed to guide the ceramic tile generation network for fitting in the direction of the sketch style and to improve the training speed.Finally,we apply hidden space perturbation and interpolation for further enriching the output textures style and satisfying the concept of“one style with multiple faces”.We conduct the training process of the proposed generation network on 2583 ceramic tile images dataset.To measure the generative diversity and quality,we use Frechet Inception Distance(FID)and Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)metrics.The experimental results prove that the proposed model greatly enhances the generation results of the ceramic tile images,with FID of 32.47 and BRISQUE of 28.44.

Allelic functional variation of FimH among Salmonella enterica subspecies

Salmonella enterica has a wide diversity,with numerous serovars belonging to six different subspecies with dynamic animal-host tropism.The FimH protein is the adhesin mediating binding to various cells,and slight amino acid discrepancy significantly affects the adherence capacities.To date,the general function of FimH variability across dif-ferent subspecies of Salmonella enterica has not been addressed.To investigate the biological functions of FimH among the six Salmonella enterica subspecies,the present study performed several assays to determine biofilm for-mation,Caenorhabditis elegans killing,and intestinal porcine enterocyte cell IPEC-J2 adhesion by using various FimH allele mutants.In general,allelic mutations in both the lectin and pilin domains of FimH could cause changes in bind-ing affnity,such as the N79S mutation.We also observed that the N79S variation in Salmonella Dublin increased the adhesive ability of IPEC-J2 cells.Moreover,a new amino acid substitution,T260M,within the pilin domain in one subspecies llb strain beneficial to binding to cells was highlighted in this study,even though the biofilm-forming and Caenorhabditis elegans-killing abilities exhibited no significant differences in variants.Combined with point muta-tions being a natural tendency due to positive selection in harsh environments,we speculate that allelic variation T26oM probably contributes to pathoadaptive evolution in Salmonella enterica subspecies llb.