Comprehensive Judgment Research Articles

Scaffolding self-regulated learning from causal-relations texts: Diagramming and self-assessment to improve metacomprehension accuracy?

The accuracy of students’ relative comprehension judgments when reading texts is typically rather low. This has been ascribed to students grounding their comprehension judgments on cues that are not diagnostic of their actual comprehension level. Asking students to complete causal diagrams—a diagramming scaffold—before judging comprehension has proved effective in providing them with more diagnostic cues and thereby fostered metacomprehension accuracy and self-regulated learning. However, there is still room for improvement. We investigated experimentally whether adding the instruction to students to self-assess their causal diagrams: (1) would lead to more accurate judgments than comprehension judgments, (2) would boost their utilization of diagnostic diagram cues by increasing the saliency of those cues, and (3) would enhance metacomprehension accuracy. Participants (N = 427 secondary students in The Netherlands) were randomly assigned to one of three conditions, namely (1) only diagram completion, (2) diagram completion plus diagram self-assessment, or a (3) filler task after reading (control). Self-assessments were more accurate than comprehension judgments, while both correlated strongly. However, no significant differences were found between diagramming conditions concerning diagram cue utilization and metacomprehension accuracy. Apparently, students self-assess their diagrams even without instruction to do so. Nonetheless, the effect of the diagramming scaffold for improving relative metacomprehension accuracy was replicated and extended to absolute metacomprehension accuracy.

E-commerce consumer behavior analysis based on big data

In the background of the widespread development of big data technology, the actual behavior of e-commerce consumers is affected by different consumer environment and consumer demand. This article conducts in-depth inquiry and analysis of the behavior of different e-commerce users, and more accurately conducts a comprehensive analysis and effective assessment of various factors that affect consumer behavior. The factors and measures of consumer behavior are comprehensively judged to get the evaluation model closer to consumer behavior. By conducting a comprehensive full-process research on different e-commerce platforms, consumer behavior, consumption habits, and consumption processes, a comprehensive full-process research, more effective channel methods and dependence on consumers’ purchase of goods, conduct a comprehensive research other factors of behavior, such as transportation logistics, environmental conditions, advertising, and other factors, conduct comprehensive judgment and analysis, and provide important theoretical basis and certain research in order to promote and improve the orderly development of consumer behavior and e-commerce environment. The research adopts modeling and analysis methods, through the evaluation of the research model, it can be seen that under the background of big data, e-commerce consumer behavior presents the trend of data, diversification and complexity. Factors affecting consumer behavior are more diverse and complex. It effectively expands the research field of e-commerce consumer behavior analysis, and provides scientific reference for the development of e-commerce.

How to deal with virtual property crime: Judicial dilemma and a theoretical solution from China

In recent years, China has evidenced a large number of criminal precedents on virtual property crime, but how to deal with it remains controversial, both theoretically and practically. Thus, systematic studies based on relevant precedents and doctrines are urgently needed from three perspectives: the conceptual boundary of virtual property, the judicial application of virtual property crime and the determination of the quantitative element of virtual property crime. Accordingly, the current research also seeks to shed light on other countries facing the same issues. In the context of criminal law, virtual property should be screened by three substantive criteria: digitization, value and scarcity. Whether virtual property is identified as a property right or a contractual claim in the field of civil law will not substantially affect the determination of criminal responsibility. Virtual property has both property and data features, and the different legal interests carried by both should be protected by criminal law. For the judicial application of virtual property crime, there are three approaches: property crime, data crime and computer crime. The three do not have a ranking or mutually exclusive relationship, and the principle of ideal concurrence (Idealkonkurrenz) should be applied. When determining the quantitative element of property crime, two different types of users and game operators should be distinguished, and the actual property damage standard should be favoured. When considering data and computer crime to determine the quantitative element, we should not rely excessively on the criteria of illegal income and economic loss, but should make a comprehensive Judgment around the degree of legal interest infringement.

Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes

Fault detection of nonlinear dynamic processes can ensure the safety of industrial production processes. Industrial process data are mostly autocorrelated along with strong nonlinear characteristics. And these significant characteristics interact with each other and limit the fault detection performance of traditional methods. Therefore, this paper presents a novel adaptive fault detection method for nonlinear dynamic processes based on kernel entropy component analysis (KECA) integrating the moving window of dissimilarity (DMW) (KECA-DMW). The KECA is used to map the raw data and capture the nonlinear features of the data, which combine with moving window techniques to build the fault detection model. In the process of updating the data in the moving window, the data information of the historical window is combined with that of the current window to obtain a more comprehensive judgment of the current moment. Then a dynamic update fusion method with adaptive weight allocation based on the dissimilarity index is proposed by analyzing the data characteristics of window information at different moments through the dissimilarity. Finally, three example studies with a numerical example, a closed-loop continuously stirred tank reactor and a Tennessee-Eastman process are used to validate the effectiveness of the proposed method. Compared with other nonlinear dynamic process fault detection methods, the results verify the effectiveness of the proposed method in the process monitoring performance of nonlinear dynamic processes in terms of false alarm rate and fault detection rate, where the false alarm rates of the proposed method are only 2%, 1.83%, and 4.33%, while the fault detection rates are 97.4%, 96.83%, and 86.25%, respectively.

For the Better Protection of Wetland Resources: Net Value of Ecosystem Services after Protective Development of Xixi Wetland in Hangzhou, China

Wetlands are valuable urban resources and can provide various ecosystem services for cities. In order to face the continuous urbanization and market economy environment, relevant government-related management, decision-makers, and stakeholders can make objective and comprehensive value judgments and decide the fate of urban wetland resources. Our quantitative approach to the ecosystem services value provided by wetlands produced clear, direct, and persuasive monetization data. The assessment of the net value of ecosystem services (NES) provides one such method. Considering the transition of the Xixi Wetland into the Xixi National Wetland Park in Hangzhou as an example, we first determined the calculation model of its NES. Second, we utilized the equivalent factor, contingent valuation, travel cost, and benefit transfer methods to calculate its value of ecosystem services (VES), service cost, and NES. The results are shown below. In 2016, the VES of Xixi Wetland park was RMB 16.973 billion, NES was RMB 16.938 billion, and service cost was RMB 34.8158 million. The value of cultural services was the main contributor to NES, which accounted for 99.27% of the total. Real estate appreciation, cultural heritage, and recreational value were the main contributors to its cultural service value. Third, through the scenario comparison, we concluded that the NES of the protective development model (the wetland park mode) adopted by Xixi Wetland was RMB 3.186 billion more than that of the protection model. In other words, the protective development model is more practical and sustainable for protecting the Xixi Wetland. Finally, the limitations and shortcomings of the study are summarized.

Modeling Methodology for Site Selection Evaluation of Underground Coal Gasification Based on Combination Weighting Method with Game Theory.

The lack of systematic geological work is an essential reason why underground coal gasification (UCG) has not been industrialized for a long time. Building a scientific index system and favorable area evaluation technology for the UCG site selection is the key to breaking through the geological bottleneck. Aiming at the problems of the single index weight determination method, intense subjectivity, and poor reliability of current evaluation models, we put forward an evaluation modeling methodology for the UCG site selection using the combination weighting method with the game theory. The factors of coal resource conditions associated with the potential risk of UCG are systematically analyzed. From the six dimensions of the geological structure, hydrogeology, seam occurrence, coal properties, reserves, and roof lithology, 23 key factors were selected as evaluation indexes to construct a hierarchical model composed of the target layer, category index layer, and index layer. The influence of each index on UCG and its reasonable value range were systematically analyzed. The evaluation index system for UCG site selection was formed. The improved analytic hierarchy process (AHP) was adopted to sequence indices and determine their subjective weight. And the variability, conflict, and information amount of the index data were analyzed by the CRiteria Importance Through Intercriteria Correlation (CRITIC) method to calculate the objective weight. Then, the subjective and objective weights were combined through game theory. On this basis, fuzzy theory was employed to calculate the membership of indices and construct the fuzzy comprehensive judgment matrix. The evaluation model of the UCG site selection was applied to the suitability evaluation of resource conditions of UCG pilot projects at Zhongliangshan (ZLS), Huating (HT), and Shanjiaoshu (SJS) mines in China. The result shows that the resource conditions of HT are the best, followed by ZLS and, finally, SJS, which are consistent with the actual running effects of the three UCG pilot projects. It indicates that the evaluation model can provide a scientific theoretical basis and reliable technical support for the UCG site selection.

The Tumorigenic Effect of lncRNA AFAP1-AS1 is Mediated by Translated Peptide ATMLP Under the Control of m6 A Methylation.

Long noncoding RNAs (lncRNAs) in eukaryotic transcripts have long been believed to regulate various aspects of cellular processes, including carcinogenesis. Herein, it is found that lncRNA AFAP1-AS1 encodes a conserved 90-amino acid peptide located on mitochondria, named lncRNA AFAP1-AS1 translated mitochondrial-localized peptide (ATMLP), and it is not the lncRNA but the peptide that promotes the malignancy of nonsmall cell lung cancer (NSCLC). As the tumor progresses, the serum level of ATMLP increases. NSCLC patients with high levels of ATMLP display poorer prognosis. Translation of ATMLP is controlled by m6 A methylation at the 1313 adenine locus of AFAP1-AS1. Mechanistically, ATMLP binds to the 4-nitrophenylphosphatase domain and non-neuronal SNAP25-like protein homolog 1 (NIPSNAP1) and inhibits its transport from the inner to the outer mitochondrial membrane, which antagonizes the NIPSNAP1-mediated regulation of cell autolysosome formation. The findings uncover a complex regulatory mechanism of NSCLC malignancy orchestrated by a peptide encoded by a lncRNA. A comprehensive judgment of the application prospects of ATMLP as an early diagnostic biomarker for NSCLC is also made.

Improved credit card fraud detection method based on XGBoost algorithm

With the development of the Internet and technology, credit cards are more widely used and transaction data are larger. The data set of credit card fraud is a typical imbalanced data problem. The model should ensure that fraud is detected and customer service quality is guaranteed. Improving both the precision and the recall rate is the focus of current research. However, when the precision is constrained by the current level of machine learning, it is a good choice to use different models to evaluate and obtain more data for manual use. Few papers use the results of both models for comprehensive judgment. In this paper, two sampling methods (undersampling-NearMiss, oversampling-SMOTE) and three algorithms (Logistic, Neural Network, XGBoost) are used to analyze data based on the transaction records in Europe within two days in September 2013. The above six cases were compared to explore appropriate detection methods. The study found that Nearmiss-XGBoost had the best recall rate, SMOTE -XGBoost had the best comprehensive result and precision. Compounding the results of the two models can improve the precision and recall.

Clinical analysis of 20 cases of cutaneous extranodal NK/T-Cell lymphoma.

Background To investigate the clinical features, pathological features and prognostic factors of cutaneous extranodal natural killer/T-cell lymphoma (CENKTL). Methods A total of 20 cases with CENKTL from February 2013 to November 2021 were analysed retrospectively. Results The patients included 15 men and five women, and their ages ranged from 19 to 92 (median age of 61) years. The most common lesions were on the extremities, followed by the trunk. Histopathological examination showed atypical lymphocyte infiltrate in dermis and subcutaneous fat. The tumour tissue showed vascular proliferation, vascular occlusion, and coagulation necrosis. In situ hybridisation revealed that 20 patients were positive for Epstein-Barr virus-coding ribonucleic acid. Immunohistochemistry showed that the tumour cells were positive for CD3 (18/20 and 90%), CD56 (19/20 and 95%), T-cell intracellular antigen (TIA-1) (13/14 and 92.9%) and CD20 (5/20, 25%). About 20 patients were positive for Ki-67 with values of 30-90%. A total of 11 of the 20 patients died, and two patients were lost to follow-up. The 2-year overall survival was 24%, and the median overall survival was 17 months. Univariate analysis revealed that involvement of lymph nodes (P = 0.042) correlated with worse survival. Limitation This is a retrospective study design and has a limited number of patients. Conclusion CENKTL is rare and has a poor prognosis. Diagnosis is challenging due to non-specific clinical symptoms and histopathology results. A comprehensive judgement should be made based on related clinical manifestations and histopathological and molecular examination. Lymph node involvement is an independent prognostic factor for CENKTL.

상해보험에서 자살사고에 대한 증명책임의 귀속과 실무상 증명내용에 대한 고찰

Accident insurance, which is defined as an insurance accident in the accident insurance clause, requires contingency in the sense of an accident that is not intentional. At the same time, “in case the insured intentionally harms himself” is stipulated as the reason for indemnification of the insurer, and in the proviso that the insured is “in a state where he or she is unable to make free decisions such as mental or physical loss,” the exemption is allowed and the insurance money is paid. stipulated as a reason As such, the structure of the provisions of the accident insurance clause is complicatedly intertwined, and the connotation and extension of the requirements set forth in each reason for payment and reason for exemption are not clearly established, causing various problems regarding the burden of proof.
 In this paper, we reviewed how to distribute the burden of proof in order to recognize the liability of the insurer when the insured person dies by suicide. In this way, we looked at what was missed by the judgment in question, which only focused on medical findings.
 Accident insurance clauses stipulate that an accident that occurred intentionally is a reason for exemption from liability of the insurer, so the insurer must prove that the accident occurred intentionally.
 On the other hand, the state of being unable to make free decisions is a normative level of judgment that is distinguished from intention. Even if the insured was conscious of ending his own life and committed suicide intentionally, the fact that he was in a state of exclusion from free decision-making dilutes the possibility of blame for the insured's intentional death and mitigates the degree of destruction of good faith in the insurance contract. In other words, even though suicide is an intentional accident, it is exceptionally included in the scope of insurance coverage. According to precedent, the state of being unable to make free decisions is determined by comprehensively examining various facts.
 In the judgment at issue, when the motive for suicide, the method and mode of suicide, the progress of depression, and the greetings sent by the suicide just before suicide were comprehensively reviewed, it can be judged that the insured committed suicide in a state of free decision-making. The target judgment focused only on the fact that the deceased had been diagnosed with a “severe depressive episode” by a specialist during his lifetime, acknowledging the inability to make free decisions without properly examining other factors.
 The state of inability to make free decisions means what factual factors have influenced the formation process of the inner psychological state and to what extent they are influencing. Therefore, the tendency to rely exclusively on medical findings and to regard them as absolutes is unreasonable. It is necessary to make a comprehensive judgment on the various facts surrounding the suicide.

In silico analysis of marine natural product for protein arginine methyltransferase 5(PRMT5) inhibitors based on pharmacophore and molecular docking

Over the past few decades, various inhibitors of PRMT5 have been developed because of its involvement in a variety of tumor development processes. As of now, no drugs targeting PRMT5 have been approved, and multiple drugs entering clinical trials have proven to have side effects. In this study, PRMT5 was used to perform virtual screening of 52119 marine natural compounds by combining various methods. We constructed 20 pharmacophore models based on multiple ligands. The best pharmacophore model AARR_2 was selected by analyzing the statistical parameters of the pharmacophore model and the binding characteristics of the ligand active site, and then 3552 compounds were screened out. Compared with the positive compound, 46 compounds were selected based on the molecular docking fraction and docking mode analysis. Then, 3D-QSAR was used to analyze the relationship between structure and activity of the compounds. Then, in addition to marine compounds 36404, 36405 and 14436, we selected compound 46 (the positive control compound) and used the CLC-Pred online Web server to predict their cytotoxicity to human cell lines, making cell experiments possible. Finally, we conducted the prediction of ADMET in order to better promote clinical trials. After comprehensive judgment, we screened out the marine natural compounds 36404 and 36405 as candidates for PRMT5 substrate competitive inhibitors. Communicated by Ramaswamy H. Sarma

Research on Assessing Driving Ability of Older Drivers Based on Cognitive Tests: A Case Study of Beijing, China

Research on cognitive tests for older drivers will contribute to accurately identifying unsafe drivers and decreasing the risk that older drivers pose to themselves and other roadway users. This study aims to design and evaluate a comprehensive cognitive test, including memory, reaction and judgment ability tests. A total of 72 drivers from Beijing, China, were recruited in 2020 to participate in these cognitive tests to obtain detailed test information on the recorded response time and accuracy. A one-way ANOVA test was proposed to examine the significance among different age and crash record groups. The comprehensive cognitive test was proved effective in judging the at-risk older drivers, where 96.7% of the safe young group and 100% of the safe older group passed the test, and 89.5% of the at-risk older group failed the test. The study clarified the efficiency and accuracy of each question as well as the whole test. It also confirmed that driving ability decreased with the increase in age. According to the obtained comprehensive cognitive test, it provided a scientific method basis for standardizing the management of the older drivers with a license, so as to guide the older drivers to understand traffic elements and rules.

Data augmentation and deep neural network classification based on ship radiated noise

IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation. The ocean environment is complex and changeable, such rapid environmental changes underline the difficulties of obtaining a huge amount of samples. Meanwhile, the length of each sample has a decisive influence on the classification results, but there is no universal sampling length selection standard.MethodsThis study proposes an effective framework for ship-radiated noise classification. The framework includes: i) A comprehensive judgment method based on multiple features for sample length selecting. ii) One-dimensional deep convolution generative adversarial network (1-DDCGAN) model to augment the training datasets for small sample problem. iii) One-dimensional convolution neural network (CNN) trained by generated data and real data for ship-radiated noise classification. On this basis, a onedimensional residual network (ResNet) is designed to improve classification accuracy.ResultsExperiments are performed to verify the proposed framework using public datasets. After data augmentation, statistical parameters are used to measure the similarity between the original samples and the generated samples. Then, the generated samples are integrated into the training set. The convergence speed of the network is clearly accelerated, and the classification accuracy is significantly improved in the one-dimensional CNN and ResNet.DiscussionIn this study, we propose an effective framework for the lack of scientific sample length selection and lack of sample number in the classification of ship-radiated noise, but there aret still some problems: high complexity, structural redundancy, poor adaptability, and so on. They are also long-standing problems in this field that needs to be solved urgently.

Development and Validation of Thermal-Mechanical Creep Failure Module for Reactor Pressure Vessel Lower Head

For severe accidents, in-vessel retention (IVR) is a very effective and crucial severe accident mitigation measure. The lower head of the reactor pressure vessel plays a vital role in the IVR strategy. The failure of the lower head may lead to the release of radioactive substances into the environment. During the implementation of IVR, the lower head is in a high-temperature environment, and its main failure form is creep failure. Therefore, to ensure the successful implementation of the IVR strategy and prevent radioactive material leakage, it is necessary to conduct an in-depth analysis of the lower head. In this paper, the lower head thermal-mechanical creep failure (LHTCF) module is developed based on the theory of plate and shell and Norton-type constructive creep laws. Through the mechanical analysis of the lower head, seven failure criteria are used to evaluate the integrity of the lower head. Finally, the LHTCF module is integrated into the integrated severe accident analysis (ISAA) program, and the accuracy of the module is validated by numerical calculation of the Organisation for Economic Co-operation and Development Lower Head Failure (OLHF) experiment. Through the comprehensive judgment of different failure criteria, the final simulation results are in good agreement with the experimental data. The results show that the wall thickness at the crack decreases sharply before failure due to the effect of creep, and the stress increases abruptly at the failure time. The LHTCF module developed in this paper can accurately predict the creep behavior of the lower head, and the calculated failure time, position, and thickness distribution agree well with the experimental results.

Treatment in Patients with Psoriatic Disease and Rheumatoid Arthritis: Seven Case Reports

The incidence of psoriasis, an intractable long-lasting inflammatory skin disease, is increasing and has many complications and comorbidities. Approximately 14% of patients have psoriatic arthritis (PsA). Rheumatoid arthritis (RA) is not a rare disease worldwide, and some patients may have both PsA and RA. In the present study, we encountered seven patients with concurrent diagnoses of RA and psoriatic disease and reported the details of clinical data, treatment efficacy, and X-ray findings. The diagnosis may require not only classification criteria but also a comprehensive judgment in collaboration with rheumatology over time. In addition to methotrexate as an anchor drug, anti-tumor necrosis factor-α agents are the first choice of biological agents for treatment, and interleukin (IL)-17 inhibitors may be effective, as IL-17 is also involved in the pathogenesis of RA. When treating patients with both PsA and RA, it may be essential to consider the treatment strategy, depending on which disease is more active.

Research on in situ stress inversion of deep‐buried tunnel based on pressure/tension axis mechanism and geological structure

AbstractThe investigation of the in situ stress distribution has always been a key condition for engineering design of deep tunnels and analysis of surrounding rock stability. In this paper, a comprehensive judgment method coupled with pressure/tension (P/T) axis mechanism and geological structure is proposed to invert the in situ stress in the Duoxiongla tunnel in Tibet. In the process of TBM tunnel excavation, 3887 groups of microseismic events were collected by means of microseismic monitoring technology. By studying the temporal and spatial distribution of 3887 groups of microseismic events, 42 groups of microseismic data were selected for in situ stress inversion. Then the focal mechanisms of 42 groups of microseisms were inverted. Combined with the analysis of the previous geological survey, the inversion results of the in situ stress were analyzed. According to the focal mechanism of the tunnel area, the linear in situ stress inversion method was used to invert the in situ stress in the source area. Finally, according to the PTGS (pressure/tension axis mechanism and geological structure) comprehensive judgment method proposed in this paper, the in situ stress of the tunnel microseismic region was determined. The results show that there are mainly three groups of fissures and joint surfaces in the tunnel area, and the in situ stress is dominated by the horizontal tectonic stress; the main driving force of the rupture surface in the excavation process of Duoxiongla tunnel is the horizontal tectonic stress; the distribution of the maximum and minimum principal stress obtained by the inversion is consistent with the distribution of the P/T axis; combined with the linear in situ stress inversion method and the comprehensive judgment of PTGS, the azimuth and dip angles of the three principal stresses are finally determined as N90.71°E, 4.06°, N5.35°W, 3.06°, and N8.10W, 85.32°, respectively. The study verifies the feasibility of microseismic inversion of in situ stress.

ASO Author Reflections: Individualized Management of Lung Cancer Patients with a History of Cancer: Surgery or Not Requires Comprehensive Judgment

ASO Author Reflections: Individualized Management of Lung Cancer Patients with a History of Cancer: Surgery or Not Requires Comprehensive Judgment

A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits

Fault diagnosis for battery circuit is particularly important for the safe management of electric vehicles. Previous correlation based fault diagnosis method only detect some faults, ignores the coupled faults, load connection faults and the problem of current data submerged. In this paper, a multi-fault online diagnosis approach combining a non-redundant measurement topology and weighted Pearson correlation coefficient (WPCC) is adopted to detect various circuit faults by weighted measured data with different forgetting factors. The main advantages are: 1) With adding the connected resistances between the battery pack and the load, the non-redundant measurement topology contains a current sensor and the same number of voltage sensors as those of the battery cells without adding complexity to the system. 2) By adding different weights with bigger forgetting factor to more recent data, a period signal aided WPCC approach is adopted to forget historical data and stress the recent data, so as to online detect the circuit faults. 3) Different from the previous same kind of fault judgement idea, the comprehensive judgement rule are used to online judge the battery abuse faults, connection faults, sensor faults, adjacent homogeneous faults and adjacent hybrid faults. The experiment results show that the investigated method can distinguish and locate the above faults accurately.

Research progress of crown -root ratio in orthodontics

Different types of malocclusion have different craniomaxillofacial morphology and occlusal contact, and the crown-root ratio of teeth is closely related to them. Unhealth crownl-root ratio will affect the long-term stability of teeth. Studies at home and abroad suggest that crown-root ratio has ethnic and gender differences. In orthodontic treatment design, orthodontists should analyze the changes in crown length and crown-root ratio according to the patient's gender, ethnicity and other comprehensive judgments, so as to better estimate the treatment risk, maintain the health of periodontal tissues, and then establish a good occlusal relationship, maintain arch stability, and finally obtain a good treatment effect.

RESISTÊNCIA FÍSICA E CAPACIDADE CARDIOPULMONAR NO TREINO DE TÊNIS UNIVERSITÁRIO

ABSTRACT Introduction: Recently, a decline in the adherence to physical exercise by college students has been observed. The physical condition of this group of individuals is declining, which is alarming in the health sector and requires a scientific response that strengthens college students' physical endurance and cardiopulmonary capacity. Tennis is a highly acceptable, low-cost sport available at many universities and colleges with potential benefits for this purpose. Objective: Study the impacts of tennis training on physical endurance and cardiopulmonary capacity in college students. Methods: The experiment was controllably conducted on a class of young college students, randomly distributed into control and experimental groups. The control group practiced athletics, while the experimental group practiced tennis training. According to the curriculum design, physical education courses were held twice a week, and the training had a consistent duration. Results: The experimental group's response to tennis training showed statistically relevant optimization, most notably vital capacity, which increased from 2556.19 ml to 3076.68 ml after the experiment; 50-meter running speed, which increased from 9.51 s to 8.68 s; and flat plate exercise, which was optimized from 10.02 kg to 12.85 kg after the experiment. Conclusion: Tennis training can improve college students' physical fitness and lung capacity. Further comparative studies are recommended for comprehensive analysis and judgment in the follow-up study. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.