Results Of Tests Research Articles

An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining

With the increasing penetration of distributed generators (DGs) and the growing demand for reliable power sources, it has become imperative to promptly identify anomalies in active distribution networks (ADNs). Additionally, anomaly identification is also crucial to assisting in targeting maintenance to handle failures after the action of relay protections. This study presents a highly accurate and rapidly responsive approach to identifying anomalies in ADNs. The proposed method uses three layers of intricately interconnected modules. In the first module, an iterative clustering layer is devised to process the original data. In the second module, an association rule layer is designed to identify hidden patterns based on the types of anomalies and the post-fault voltage. In the third module, a regression training layer is employed to train accurate identification models. The case study utilizes data samples collected by an IEEE 33-bus system with distributed generations as well as post-fault data from a practical distribution network. The results of comparative tests demonstrate that the proposed data-mining structure achieves reliable performance with high identification accuracy and short reaction times, indicating its ability to be applied to the state awareness system of ADNs.

Penicillin allergy-Truth or duty?

The beta-lactam antibiotics are some of the safest and best-tolerated antibiotic agents; however, many patients have reported allergies against penicillin. All beta-lactam antibiotics are only restrictively prescribed for these patients and alternative antibiotics are increasingly given, which carries the risk of negative clinical results and socioeconomic sequelae; however, over 95% of patients who reported an allergy to penicillin show anegative result in the allergy tests for penicillin and this antibiotic can safely be prescribed. The use of sensitive and specific instruments for identification of false penicillin allergies should be an important topic within the framework of antibiotic stewardship. Anesthesists can play acentral role in the reduction of the enormous individual and public health burden associated with the classification of penicillin allergy by taking an appropriate medical history and arisk stratification for the identification of patients with apenicillin allergy. This overview article presents apossible delabelling algorithm within the framework of the clarification of abeta-lactam antibiotic allergy. The focus is on astructured allergy anamnesis using the penicillin allergy, five or fewer years ago, anaphylaxis/angioedema, severe cutaneous adverse reaction (SCAR) and treatment required for allergy episode (PEN-FAST) score.

Tailoring thin film composite membranes for clean water production: A study on structural variations and predictive insights using machine learning

This study focuses on the fabrication of three thin film composite membranes by interfacial polymerization on polyacrylonitrile support. The objective is to explore the influence of different monomers on structural and functional features of resultant membranes for treating saline water and removing micropollutants. A new linear aliphatic amine 4A–2E was used as an aqueous monomer for the first time. Trimesoyl chloride, isophthaloyl chloride, and terephthaloyl chloride were used as organic phase crosslinkers. The resulting membranes exhibited distinctive structural features such as varied roughness and hydrophilicity, which correlated with their functional performance. The membrane roughness for 4A–2E-TPC@PAN/PET reached the highest value of Ra = 56 nm among the fabricated membranes. Moreover, permeate flux of 32, 56, and 49 L m−2 h−1 at 25 bar was measured for 4A–2E-TPC@PAN/PET, 4A–2E-IPC@PAN/PET, and 4A–2E-TMC@PAN/PET, respectively. Notably, 4A–2E-TPC@PAN/PET membrane exhibited 98% rejection of MgCl2 among the tested divalent salts. Furthermore, the membrane displayed high rejections of micropollutants, with 85% rejection for Amitriptyline. Upon chlorine exposure, the 4A–2E-TPC@PAN/PET membrane proved more resistant than both 4A–2E-IPC@PAN/PET and 4A–2E-TMC@PAN/PET membranes. Machine learning predictive insight was developed using Matérn Gaussian Process Regression model to simulate flux before and after chlorination of membranes. The results in both training and testing proved reliable predictive insight with 99% accuracy in terms of Nash Sutcliffe Efficiency. Hence, current work highlights the use of a linear amine 4A–2E and TPC crosslinker to fabricate a dense polyamide membrane and the application of ML algorithms to desalination data makes it possible to predict the membrane performance.

The Evaluation of Neuroprotective Effect of Nigella sativa Linn Seed Using Zebrafish Model

Naturally occurring materials that can serve as preservatives in foodstuffs are substances found in their composition. Nigella sativa Linn, a member of the Ranunculaceae family, is a widely recognized medicinal herb with global usage. For centuries, N. sativa L., seeds have been employed to address various ailments and health issues. In behavioral research, the bioactive compound derived from N. sativa L., namely Kaempferol 3-(2-galloyl-alpha-L-arabinopyranoside), has gained significant attention. The escalating prevalence of Alzheimer's disease among elderly individuals worldwide necessitates exploration beyond traditional mammalian and rodent models. This has led to the adoption of zebrafish (Danio rerio) as a unique model organism in biomedical research, behavior analysis and human disorders. Experiments involving scopolamine-induced T-maze, escape, place preference and bite tests have strongly suggested that behavior in zebrafish is governed by conserved regulatory processes. The results of the behavior tests demonstrated that N. sativa L., enhances learning and memory, which was otherwise affected by scopolamine treatment. Notably, a thorough analysis of histoarchitecture revealed no adverse effects of Kaempferol 3-(2-galloyl-alpha-L-arabinopyranoside), which might be a promising therapeutic option for such a multi-factorial Alzheimer's disease.

Aspects Affecting the Quality of Masonry Buildings and Innovations in Masonry

The construction industry is undergoing another revolution, including the field of masonry construction. New materials and products for masonry are constantly being developed and construction details and implementation procedures are being resolved. Digitization and the introduction of automation in the masonry process (in prefabrication halls or on-site robotic bricklaying) are also an integral part of the development of the masonry construction industry. The topic of the following paper is a summary of problematic construction details of masonry buildings, i.e., the solution of the plinth console, the solution of the building opening, the bearing of lintels on the masonry and the bearing of the ceiling structure on the masonry wall. The results of laboratory tests are presented – the load-bearing capacity of the jamb of the building opening (accessory bricks / cut bricks in the jamb) and the load-bearing capacity of the lintel placed on the accessory edge brick. Furthermore, the paper deals with the construction of masonry buildings in the 21st century, including the first results of a compressive load test on masonry walls made of precast small-format units. The conclusion of the paper points out the importance of correct design details of masonry buildings before their application (programming) in software controlling the automated masonry process.

Performance test results of a helium Dewar for the Resolve instrument onboard the XRISM

The X-ray imaging and spectroscopy mission (XRISM) is an X-ray astronomy satellite developed by the Japan Aerospace Exploration Agency (JAXA) and the National Aeronautics and Space Administration (NASA) to explore the evolution of the universe and its physical phenomena as the replacement for ASTRO-H. One of the primary scientific instruments of the XRISM is the Resolve, which utilizes an X-ray microcalorimeter array. This detector array is required to be cooled down to 50 mK using a complex cryogenic system with a multistage adiabatic demagnetization refrigerator (ADR) developed by NASA and a cryogenic system developed by Sumitomo Heavy Industries, Ltd. (SHI). The cryogenic system is required to cool the heat sink of the ADR to a temperature below 1.5 K in orbit for at least 3 years. To meet the specific requirements, we developed a hybrid cryogenic system consisting of a liquid helium tank, a 4K Joule–Thomson cooler, and two two-stage Stirling coolers. As a result, the specific requirements were verified by ground tests. This paper describes the design, including the major changes from ASTRO-H, fabrication, and results of the ground tests of the helium Dewar of the Resolve instrument.

The impact of students’ individual differences on their communication apprehension in online classrooms: Empirical evidence from Iran

Hybrid learning is currently practiced in Iran’s Higher Education Institutions (HEIs), especially throughout the country’s business schools. Given the importance of Communication Apprehension (CA) as an inhibiting factor in student participation in online classrooms, this study aims to investigate CA in online classes among MBA students studying at the seven most prestigious Iranian business schools concerning their individual differences (the Big Five personality traits and demographic variables, namely, gender, year of study, and work experience). In this quantitative study, data was gathered through an online survey and analyzed using LISREL 8.80. The results indicate that extraversion and agreeableness negatively predict Communication Participation Avoidance (CPA) and Low Level of Communication Confidence (LCC) in an online class. While “neuroticism” predicts LCC and CPA positively and significantly, “conscientiousness” and “openness to experience” do not predict CA dimensions. The results demonstrate that the mean scores of LCC are higher for female students compared with male ones. The results of ANOVA tests also reveal that LCC is higher among first-year students. Finally, the accumulation of work experience reduces CA.

Pengaruh Pemberian Hipnotis Lima Jari Terhadap Ansietas Pada Lansia Hipertensi di Wisma Assisi Kota Sukabumi

Pengaruh Pemberian Hipnotis Lima Jari Terhadap Ansietas Pada Lansia Hipertensi di Wisma Assisi Kota Sukabumi

A Novel Approach for Single-Step Analyte Fractionation of Raw Milk Prior to Antibiotic Residue Trace Analysis as an Alternative to QuEchERS-Based Extraction.

Antibiotic residues in milk are a well-known hazard in the dairy food chain. Detection methods for these residues, such as nonspecific microbiological inhibitor tests or group-specific receptor tests, are relatively inexpensive, easy to use, and widely applied to ensure food safety. In contrast, specific detection by liquid chromatography-tandem mass spectrometry (LC-MS/MS)-although a critical, complimentary method to confirm the results of nonspecific testing-is relatively costly, time-consuming, and laborious. Furthermore, sample processing before LC-MS/MS analysis requires unique preparation procedures for different groups of antibiotic compounds. To simplify and speed up specific antibiotic residue detection, a low-cost, passive, and single-step method to fractionate analytes in raw milk was developed. Untreated raw milk was fractionated into its water and fat/protein phases using a Fractionation of Milk for Trace Analysis of Contaminants and Residues for Antibiotics (FraMiTrACR® AB) fractionation unit. The water fraction was then analyzed by LC-MS/MS. The analyte fractionation method was evaluated against a Quick Easy Cheap Effective Rugged and Safe (QuEChERS)-based method for sample preparation. Our method allows qualitative and quantitative detection of substances from the penicillin, cephalosporin, macrolide, lincosamide, sulfonamide, tetracycline, and fluoroquinolone groups of antibiotics. Detection limits are below the legally prescribed maximum residue levels, allowing reliable, specific, and rapid validation of a positive result in nonspecific microbiological inhibitor tests. Analyte fractionation by FraMiTrACR AB is a faster alternative to QuEChERS-based sample preparation for the detection of antibiotic substances in milk. This method describes a low-cost, environmentally friendly, passive, and single-step milk analyte fractionation. As an alternative to QuEChERS-based preparation, this fractionation method simplifies and speeds up the process for specific antibiotic residue detection.

Multiscale modulation of ultra-small ruthenium anchored on bimetallic sulfides for seawater electrolysis at ampere-level current density

Developing efficient and stable electrocatalysts is the critical challenge for hydrogen evolution reaction (HER) from seawater electrolysis. The design of catalysts for seawater HER needs to consider not only high intrinsic activity determined by the electronic structure, but also favorable mass transfer at the catalyst's surface. Herein, a unique nanoarray hybrid heterojunction consisting of ultra-small Ru nanoparticle (NPs) decorated on the surface of NiMo bimetallic sulfides (NiMoSx) is proposed. This Ru/NiMoSx heterostructure delivers an ampere-level current density of 1.0 A cm−2 at an overpotential of only 208 mV in alkaline seawater, which is far superior to the performance of commercial Pt/C. In situ spectroscopy and electronic structural analysis demonstrate that the atom-level synergy between Ru NPs and NiMoSx heterostructure makes the electron transfer from Ru to Ni/Mo, weakening the interaction of Ru and H atom, eventually facilitating the H desorption. Also, the results of contact angle tests and simulation calculations reveal that the micro-level modulation of nanoarray structure favors the diffusion of electrolyte and bubble, ensuring rapid mass transfer and exposing multiple active sites. With the multiscale modulation including optimized electronic structure and fast mass transfer, both H2 generation and transportation for Ru/NiMoSx are all prompted, thus leading to outstanding seawater HER performance.

Impact of glyphosate-based herbicide exposure through maternal milk on offspring's antioxidant status, neurodevelopment, and behavior.

Glyphosate-based Herbicide (GBH) is a widely used pesticide that functions as a broad-spectrum, non-selective herbicide. Despite advanced research to describe the neurotoxic potential of GBH, the harmful effects on maternal behavior and neurodevelopment of offspring remain unclear. This study was conducted to highlight the effects of GBH on the antioxidant system, anxiety traits, social interaction, and cognitive and sensorimotor functions in pups exposed to 25 or 50mg/l daily via their mother's milk. Concerning the biochemical biomarkers, GBH administered during the early stages of development negatively affected the status of antioxidant enzymes and lipid peroxidation in the brain structures of the pups. Furthermore, our results showed a significant decrease in acetylcholinesterase (AChE) specific activity within the brains of treated pups. The results of the behavioral tests indicated that the treated offspring developed anxiety, memory, and sociability disorders, as evidenced by the Open Field, Y-maze, object recognition task, and social interaction tests. Through neurodevelopmental testing, we also showed sensorimotor impairment (righting reflex and negative geotaxis) and abnormal maternal behavior. Altogether, our study clearly demonstrates that the developing brain is sensitive to GBH.

A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis.

Cancer diagnosis based on machine learning has become a popular application direction. Support vector machine (SVM), as a classical machine learning algorithm, has been widely used in cancer diagnosis because of its advantages in high-dimensional and small sample data. However, due to the high-dimensional feature space and high feature redundancy of gene expression data, SVM faces the problem of poor classification effect when dealing with such data. Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). The algorithm firstly calculates the information gain values of the features and ranks them in descending order according to the value. Then, ranked features are grouped according to the information index, so that the features in the group are close, and the features outside the group are sparse. Finally, grouped features are searched using grouping PSO and evaluated according to in-group and out-group. Experimental results show that the average accuracy (ACC) of the SVM on the feature subset selected by the IG-GPSO is 98.50%, which is significantly better than the traditional feature selection algorithm. Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms. The feature subset selected by IG-GPSO not only has the best classification effect, but also has the least feature scale (FS). More importantly, the IG-GPSO significantly improves the ACC of SVM in cancer diagnostic.

Enhancing Lead Passivation in Contaminated Soil: Impacts of the Chemical Modification of Oxygen-Containing Groups (OCGs) on the Surface of Hydrochar

ABSTRACT In this study, we selected walnut shell-derived pristine HC (pHC) and two modified derivatives obtained by oxidative and alkali treatments (designated mHC-O and mHC-A, respectively) to investigate the passivation performance of Pb(II) in contaminated soil. The yields of mHC-A and mHC-O were 70.58% and 95.38%, respectively, after posttreatment. According to the XPS, FTIR, and acidity titration results, the amounts of the three major OCGs (i.e. C−O, C=O, and O−C=O) all increased after H2O2 oxidation. Moreover, chemical modification fundamentally changed the structural characteristics of pHC. DTPA extraction tests indicated that the extractable Pb content after 30 days of incubation decreased by 13.60%, 19.32% and 14.53% at 7% (w/w) doses of HC, mHC-O and mHC-A, respectively, compared to that of the control. Furthermore, mHC-O was superior to pHC and mHC-A in terms of Pb passivation efficiency, which was consistent with the results of BCR sequential extraction and leaching tests using three root exudates. For mHC-O at the 7% dose, the contents of bioavailable Pb in the contaminated soil were 19.85 and 8.83 mg/kg based on DTPA leaching and BCR analysis, respectively, while they were 0.616, 0.564 and 0.07 mg/kg in the root exudate leaching tests of Ophiopogon japonicus, radish and spinach, respectively, indicating that the root exudate leaching method lowered the bioavailable Pb content compared to the DTPA and BCR methods. Overall, Oxidation posttreatment with HC could improve the passivation of Pb in contaminated soils.

Pengaruh Edukasi Media Platform Tiktok Terhadap Pengetahuan Penderita Hipertensi di Wilayah Kerja Puskesmas Cireunghas

Hypertension is still a significant problem in the global health sector today. The general public recognizes this condition as "high blood pressure" because blood pressure increases beyond the normal threshold. Health education has a major role in increasing public understanding about hypertension. So media outreach using the Tiktok social media platform can expand public knowledge and understanding regarding the urgency of hypertension. Objective: To determine the influence of the TikTok educational media platform on the knowledge of hypertension sufferers. Method: The design in this research uses a quasi-experimental approach using a one group pretest posttest design. Results: based on the results of statistical tests using the Paired Samples Test, the resulting P value is 0.000 < 0.05. Conclusion: it can be concluded that there is an influence of the TikTok educational media platform on the knowledge of hypertension sufferers in the Cireunghas Health Center working area. Suggestion: It is recommended for future researchers to measure the influence of respondent characteristics such as age, gender, education level, length of time suffering from hypertension, type of work and type of anti-hypertensive medication used on the knowledge of hypertension sufferers

Retrospective evaluation of the results of immunodiagnostics for tuberculosis in children

Introduction. For early immunodiagnostics of tuberculosis (TB) in Russia, the Mantoux test (MT) has been used for decades; since 2013, the recombinant tuberculosis antigen (RTA) test has seen widespread use.
 The objective of this retrospective analytic observational cohort study was to evaluate the results of immunodiagnostics for TB in children with newly diagnosed active TB.
 Materials and methods. We studied data from Russian TB institutions on the results of MT and RTA assay in children with active and inactive TB first detected in 2013–2018, as well as children with active TB first detected in Moscow in 2017–2022.
 Results and discussion. In 2013–2018, out of 12,902 examined children with active TB, 11,673 (90.5%) had positive results of both skin tests and 198 (1.5%) had negative results. A negative RTA assay result with positive MT was found in 861 (6.7%) patients, and a positive RTA assay result with negative MT in 170 (1.3%). The sensitivity of the RTA assay in detecting active TB was 91.3%, while the sensitivity of MT was 97.2% (p 0.01). Similar data were obtained in the same regions in 14,127 children with inactive TB: the sensitivity of MT was higher than that of the RTA assay — 97.2% versus 95.2% (p 0.01). In Moscow, due to the small number of observations in 2022, it was not possible to show statistical reliability of the difference between the sensitivity of MT and RTA assay in detecting active TB in 2017–2022 (95.8% and 92.1% respectively; p 0.5). For the results obtained in 2017–2021, the difference was significant (p 0.05).
 Conclusion. The sensitivity of MT is higher than that of the RTA assay in screening children for TB. It is recommended to use the more sensitive MT test for screening children; screening with the RTA assay will increase the number of undetected and undiagnosed cases of active TB in children. Currently, MT cannot be excluded from the algorithm of early TB diagnosis in children.

Analysis of the feasibility of using biopolymers of different viscosities as immobilization carriers for laccase in synthetic dye removal

The main aim of the study was to assess the feasibility of using biopolymers of different viscosities (high, medium and low viscosity) as immobilization carriers for laccase in synthetic dye removal. The following dye solutions were decolorized: indigo carmine (IC, anionic dye), methylene blue (MB, cationic dye), and their mixture in a molar mass ratio MB/IC=0.69, using biopolymers of different viscosities as laccase immobilization carriers. Toxicity tests were also carried out to assess the toxicity of the post-decolorization samples. Decolorization tests showed that the main decolorization mechanism depends on the dye class. The removal of IC (max. total removal efficiency 72.15%) was mainly by biocatalysis. The mechanism of the MB decolorization process was mainly by sorption on alginate beads, and the efficiency of enzymatic removal was low. However, the highest efficiency of MB decolorization (45.80%) was obtained for beads prepared using the high viscosity alginate when decolorization occurred by both sorption and biocatalysis. The results of mixture decolorization tests differ from the results obtained for single dyes.The results showed differences in the efficiency of the dye sorption process depending on the alginate used for immobilization. Moreover, the varying mechanisms of dye removal from the dye mixture were confirmed by toxicity tests. The occurrence of both biocatalysis and sorption promotes reduced toxicity

Between Laws and Trends: Unraveling the Dynamics of Vertical Housing Units’ Development under Institutional Forces in the Brazilian Amazon

This paper is based on the recognition of a phenomenon occurring in the real estate market of Belém, Pará, in the Brazilian Amazon. The phenomenon refers to the relative increase in the size of the balconies of residential apartments launched in the city between 2005 and 2017 by construction companies, with the aim of increasing the number of units built per tower. Given that balconies were originally areas of low frequency for the occupants of apartments in this region, the aim of this article was to identify and analyze the institutional factors that support this product development strategy, which is becoming increasingly consolidated among companies. To investigate this phenomenon, we collected data from official documents provided by the Municipal Urban Planning Department (Secretaria Municipal de Urbanismo—SEURB), specifically focusing on the launch of residential high-rise buildings during the specified period. Regression techniques with ordinary least squares methods were applied, as well as econometric models of spatial autocorrelation. The results of the hypothesis tests confirmed the relationship between the restrictive parameters imposed by the city’s Urban Master Plan and the relative increase in apartment balconies. The spatial autocorrelation models confirmed the spatial spillover effect, showing that apartment projects with this characteristic tend to be concentrated in certain areas of the city, influencing each other. In order to discuss this phenomenon, the institutional theory was the protagonist of the analysis, showing how an organizational strategy can adapt to the authority that regulates the occupation of urban land in the city, meeting the two market forces and the demand and supply of apartments.

Semi-quantitative assessment of <i>Helicobacter pylori</i> by rapid urease tests in pediatrics

The study is devoted to the comparison of the results of rapid urease tests (RUT) and the data obtained in histological examination. For this purpose, the semi-quantitative assessment of urease activity of two BUTs was compared: the semi-quantitative Pronto Dry (GASTREX, France) widely used in Europe and the AMA RUT Expert M test registered in Russia (AMA LLC, Russia) with the data obtained by histological and PCR analyses. High correlation of semi-quantitative indices of urease activity according to the results of both tests as well as correlation of these indices with the data obtained by histological examination and PCR analysis was established.

MOLECULAR DOCKING OF THE KERUING's (DIPTEROCARPUS) GENUS, SECONDARY METABOLITES OF THE DIPTEROCARPACEAE FAMILY'S AS ANTI-INFLAMMATION AGAINST CYCLOOXYGENASE-2 (COX-2)

Objective: Kalimantan, Indonesia, has a tropical forest abundant in forest products. One of these products is the Dipterocarp tree, which includes the Keruing genus (Dipterocarpus). Dipterocarpus contains secondary metabolites that may be potential sources for new drug compounds. One of these metabolites has the potential to act as an anti-inflammatory agent. Based on pharmacophore modelling and molecular docking, this study used molecular docking to investigate the inhibitory mechanism and affinity of Dipterocarpus secondary metabolites on the 3N8Y inflammatory receptor. Methods: The study involved multiple stages, such as preparing and optimizing the structure of the test compounds, constructing a 3D receptor structure of 3N8Y, validating the methodology, and performing energy docking simulations to analyze the interactions. From the study that has been done, the results for the test compounds were evaluated for their MolDockScore, Pharmacokinetic parameters (ADME), and toxicity. Results: The results revealed that the oligomer resveratrol compound exhibited the lowest MolDockScore value of-104.7400, comparable to natural ligands. In addition to that, this method produces reliable outcomes through pharmacokinetic predictions such as HIA (88.4794%), Caco2 (5.1917 nm/sec), and PPB (100%). Furthermore, the toxicity profile exhibited negative results for mutagenic, non-mutagenic, and carcinogenic tests, including genotoxic and nongenotoxic substances. Conclusion: The oligomeric resveratrol (3',5',4-trihidroksi-trans-stilben) compounds have potential as anti-inflammatory agents by acting on the 3N8Y receptor, which further needs to be tested in vivo.

Effects of physical fitness on mental health of Chinese college students: across-sectional study

BackgroundThe physical and mental health of college students is often mentioned, but there is limited research on a direct relationship between the mental health status of college students and their physical fitness level. This study mainly proves the relationship between Chinese college students’ mental health and physical fitness indicators.MethodThis study collected SCL-90 Scale test results from 5262 students (4012 boys and 1250 girls) through a questionnaire survey and conducted a Sport Quality Test on these students. Statistical software SPSS was applied for differential analysis and logistic regression analysis. Specifically, the differences in sport quality indicators between normal and abnormal mean total scores of psychological tests were analyzed first. Then, the binary logistic regression model was used to explore the impacts of sports quality indicator scores on students’ psychological fitness.ResultsThere are differences in the results of physical fitness tests between students with abnormal psychology and students with normal psychology. The four indexes of students’ vital capacity, speed, explosive power of lower limbs, and endurance running are effective in improving students’ psychologically abnormal state, and endurance running and improving vital capacity are the most effective methods to improve students’ psychologically abnormal state. In the physical tests of Chinese college students, the risk of psychological abnormalities was reduced by 9% for every one-point increase in lung capacity and 10.4% for every one-point increase in endurance running performance.ConclusionsChinese college students’ physical fitness and mental health are related. The best methods for treating psychological disorders are lung capacity improvement and endurance running. According to the physical test results of Chinese college students, for every 1-point increase in lung capacity and endurance running, the risk of psychological abnormalities decreased by 9% and 10.4%, respectively.