Test Processing Research Articles

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings.

Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a sequence of images to recognize content, has been used extensively across industries in recent years. However, in the healthcare industry, its applications are limited by factors like privacy, safety, and ethical concerns. Despite this, CV has the potential to improve patient monitoring, and system efficiencies, while reducing workload. In contrast to previous reviews, we focus on the end-user applications of CV. First, we briefly review and categorize CV applications in other industries (job enhancement, surveillance and monitoring, automation, and augmented reality). We then review the developments of CV in the hospital setting, outpatient, and community settings. The recent advances in monitoring delirium, pain and sedation, patient deterioration, mechanical ventilation, mobility, patient safety, surgical applications, quantification of workload in the hospital, and monitoring for patient events outside the hospital are highlighted. To identify opportunities for future applications, we also completed journey mapping at different system levels. Lastly, we discuss the privacy, safety, and ethical considerations associated with CV and outline processes in algorithm development and testing that limit CV expansion in healthcare. This comprehensive review highlights CV applications and ideas for its expanded use in healthcare.

Improving vocational guidance through an expert system: Temporary decreasing and enhancing student self-awareness.

The vocational guidance process in educational institutions faces important challenges in managing trials and errors in diagnoses. Technological tools are identified as an effective solution to address these problems. This research seeks to improve career guidance in educational institutions through the implementation of an expert system. The main objective is to reduce test processing time and achieve greater efficiency in students' self-knowledge regarding their interests, based on the personalities of the Holland Test. The development of the expert system followed a six-model approach. First, an organisational model was created to assess the scope and feasibility of the project. Next, a task and agent model was developed to investigate the impact and look for improvements. A knowledge model was then developed to analyse the relevant knowledge bases. A communication model was also developed to evaluate the communication interface of the system. Next, a design model was created to provide guidelines for the implementation of the system. Finally, the implementation of the knowledge system was carried out to ensure its correct functioning. The implementation of the expert system has shown significant improvements in the vocational guidance process. It was possible to reduce the time needed to apply the test, thus optimising the psychologist's time and allowing a greater capacity for analysis. In addition, an improvement in the effectiveness of the students' self-knowledge in relation to their vocational interests based on the personalities of the Holland Test was observed. This study contributes to career guidance in educational institutions by introducing an innovative expert system. This technological solution optimizes the career guidance process, benefiting psychologists administering tests and students seeking self-knowledge about their career interests.

A generic time-frequency analysis-based signal processing and imaging approach for air-coupled ultrasonic testing

The utilization of air-coupled ultrasonic technology is crucial for examining objects that are challenging to establish contact with or cannot endure coupling. Nevertheless, air-coupled ultrasonic is susceptible to various factors such as impedance mismatch, sound wave attenuation, and environmental noise, consequently leading to a diminished signal-to-noise ratio of the received signal. This reduction in signal quality amplifies the complexity of analysis and imaging processes. In this study, a generic air-coupled ultrasonic signal processing and imaging procedure for ultrasonic inspection is proposed, which capitalizes on time-frequency analysis. This methodology attains a heightened level of stability and superior signal-to-noise ratio imaging through a series of procedural steps, encompassing feature extraction, denoising, and the reconstruction of the A-scan signals. The efficacy of the proposed approach is quantitatively assessed in terms of signal-to-noise ratio, probability of detection, robustness, and generality. This innovative method presents a newfangled resolution for automated air-coupled ultrasonic testing.

Evaluating and optimizing Acid-pH and Direct Lysis RNA extraction for SARS-CoV-2 RNA detection in whole saliva

COVID-19 has been a global public health and economic challenge. Screening for the SARS-CoV-2 virus has been a key part of disease mitigation while the world continues to move forward, and lessons learned will benefit disease detection beyond COVID-19. Saliva specimen collection offers a less invasive, time- and cost-effective alternative to standard nasopharyngeal swabs. We optimized two different methods of saliva sample processing for RT-qPCR testing. Two methods were optimized to provide two cost-efficient ways to do testing for a minimum of four samples by pooling in a 2.0 mL tube and decrease the need for more highly trained personnel. Acid-pH-based RNA extraction method can be done without the need for expensive kits. Direct Lysis is a quick one-step reaction that can be applied quickly. Our optimized Acid-pH and Direct Lysis protocols are reliable and reproducible, detecting the beta-2 microglobulin (B2M) mRNA in saliva as an internal control from 97 to 96.7% of samples, respectively. The cycle threshold (Ct) values for B2M were significantly higher in the Direct Lysis protocol than in the Acid-pH protocol. The limit of detection for N1 gene was higher in Direct Lysis at ≤ 5 copies/μL than Acid-pH. Saliva samples collected over the course of several days from two COVID-positive individuals demonstrated Ct values for N1 that were consistently higher from Direct Lysis compared to Acid-pH. Collectively, this work supports that each of these techniques can be used to screen for SARS-CoV-2 in saliva for a cost-effective screening platform.

Improving gallic acid detection in plant samples: Fabrication and optimization of a sensitive and selective NiO-supported carbon paste electrode

In this study, we successfully prepared a modified nickel oxide (NiO) carbon paste electrode to detect gallic acid (GA). NiO nanoparticles were synthesized by the simple, organic solvent-free chemical coprecipitation method, and the electrochemical properties of the electrode and GA were thoroughly investigated using CV, SWV, and EIS, while morphological properties were examined using ICP-OES, TEM, SEM, and XRD. Excellent catalytic characteristics are displayed by the developed material which facilitates the interaction of the target with the electrode surface. The obtained electrochemical information showed that the incorporation of NiO nanoparticles to the carbon paste electrode effectively facilitates electron transfer processes and enriches the catalytic response of the carbon paste electrode. The fabricated NiO/CPE sensor showed a satisfactory linear relationship between peak current and GA concentration in the broad range of 0.2–100 μM and 100–200 μM with a low detection limit of 0.04 μM and limit of quantification of 0.12 μM at pH 3 of BRBS as supporting electrolyte. The selectivity of the proposed method was satisfactory, with acceptable stability, considerable repeatability, and accurate reproducibility. Moreover, the good practicability performance could be effectuated at the NiO/CPE sensor for the quantitative analysis of GA in bourtree, walnut, primrose, and chamomile tea samples. The results were compared with the standard DPPH test and statistical processing of the results was performed, which confirmed the excellent agreement between the two methods. The developed method can provide a cost-effective, rapid, selective, and sensitive means for GA monitoring. When compared to other works, the developed technique has a wider linear range and lower LOD and LOQ, which makes this work a very important reference for the highly sensitive analysis of GA in the field of food safety.

Capture the Flag with ChatGPT: Security Testing with AI ChatBots

Penetration testing, commonly referred to as pen testing, is a process of assessing the security of a computer system or network by simulating an attack from an external or internal threat actor. One type of pen testing exercise that has become popular among cybersecurity enthusiasts is called Capture the Flag (CTF). This involves solving a series of challenges that simulate real-world hacking scenarios, with the goal of capturing a flag that represents a piece of sensitive information. Recently, there has been a growing interest in the use of natural language processing (NLP) and machine learning (ML) technologies for penetration testing and CTF exercises. One such technology that has received significant attention is ChatGPT, a large language model (LLM) trained by OpenAI based on the GPT-3.5 architecture. The use of ChatGPT in CTFs has several potential benefits for participants and organisers, including more dynamic and realistic scenarios and enhanced learning experiences, and enhance the effectiveness and realism of CTFs.. Future research can explore more sophisticated models and evaluate the effectiveness of ChatGPT in improving the performance of participants in CTFs.

Efektifitas Penggunaan Media Massage Gun Terhadap RPE Atlet Sepakbola

This study aims to determine the effect of massage gun media on RPE (Rated Percived of Exertion) in soccer athletes. This research uses experimental method with one-group pretest posttest design model. The population of this study were Persib Academy athletes, totaling 30 athletes, ranging the age of 16 years. This population was chosen because training was carried out intensively and training was carried out regularly for 4 times/week. 18 athletes of Persib Bandung Academy made the research subject with purposive sampling technique. The procedure of this study is to provide high-intensity training activities using the Yo-Yo Intermittent test. Recovery Test to determine the RPE scale when after the exercise is finished then give some treatment using Massage Gun with a duration of 15 minutes then re-tested RPE. The research instrument used is RPE or Rated Percived Exertion, RPE is a subjective scale used to measure the level of fatigue or perceived effort on an individual's perception of the intensity of work performed, based on the results of data processing, it was found that the massage method using massage guns had an effect on RPE (Rated Percived of Exertion) significantly. Based on the results of the data processing of hypothesis testing that has been done, it can be concluded that there is a significant effect of the use of Massage Gun significantly affects the decrease in fatigue symbolized by RPE (Rating of Perceived Exertion).

DirectedCHO: A new miniaturized directed evolution process for phenotype stability trial test of CHO cells before bioreactor scale-up

Most of the biopharmaceuticals that are currently on the market are expressed using the Chinese Hamster Ovary (CHO) cell lines. However, the production yield of these biopharmaceuticals is affected due to CHO cellular heterogeneity and challenges in adaptability during the bioreactor scale-up stage. In this communication, we report the protocol for the miniaturized directed evolution process for CHO cells. The results of the directed evolution process would guide adapting the CHO cell line before bioreactor scale-up. With our approach, we have established the protocol that can be used to streamline superior CHO cell lines for biopharmaceutical production which would be the first of its kind in Africa. Our directed evolution protocol includes a method for a low-cost multiplex directed evolution process that can be used on CHO cells using 20 stressors in 8 concentrations and provides stable trial results for the scale-up process. Using our process, we can provide a simple consumable kit that manufacturers can use for the CHO cell phenotype stability test before the scale-up process. With our approach, we would further develop a platform that can streamline superior CHO cell lines for biopharmaceutical production. This approach would be the first of its kind in South Africa/ Africa.

Opțiunea părinților divorțați asupra funcționării specifice a personalității propriului copil

American statistics estimate that every second registered marriage ends in divorce! Namely, the issue of divorced parents and the relationship with their children is addressed in this article. The psychological analysis regarding the researches of divorced families, of the existing relations between the resident parent and the child is reviewed. Parents often do not intuit what emotional disturbances the child goes through, what sufferings grind the child’s personality and what personality patterns settle in the minor person. In this context, the HiPIC - Hierarchical Personality Inventory for Children test was applied in order to evaluate the opinion of the parents (resident parent and parents with organized family) about their child, namely to reflect on the concrete and observable behaviors of the child. The sample of children 9-12 years old and their parents was selected, and by means of the HiPIC test and statistical processing, five dimensions of the specific functioning of the child’s own personality were highlighted.

Analogical thinking modifiability and math processing strategy.

A sample of 48 children in Grade 2 was randomly assigned to an experimental (n = 24) and a control group (n = 24). Both groups were administered the Analogical Modifiability Puzzle Test (AMPT) and Math Accuracy and Processing Strategy (MAPS) test before and after a teaching phase of the AMPT. The MAPS test includes scores for Accuracy, Processing Strategy, and a Math-Total. The findings reveal significant treatment x time interactions for AMPT (near-transfer) and MAPS (far-transfer) scores. Hierarchical regression analysis showed that AMPT post-teaching score added significantly to Math Total. The findings indicate that Math Accuracy and Math Processing Strategies are affected by mediation for analogical thinking and that modifiability of analogical thinking significantly predicts Math-Total.

Associations of Polycystic Ovary Syndrome With Indicators of Brain Health at Midlife in the CARDIA Cohort.

Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with an adverse cardiometabolic profile early in life. Increasing evidence links cardiovascular risk factors, such as diabetes and hypertension, to accelerated cognitive aging. However, less is known about PCOS and its relationship to brain health, particularly at midlife. Our goal was to investigate possible associations between PCOS and midlife cognitive function and brain MRI findings in an ongoing prospective study. We used data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a geographically diverse prospective cohort study of individuals who were 18-30 years at baseline (1985-1986) and followed for 30 years. We identified women with PCOS from an ancillary study (CARDIA Women's study (CWS); n = 1,163) as those with elevated androgen levels and/or hirsutism in conjunction with symptoms of oligomenorrhea. At year 30, participants completed cognitive testing, including the Montreal Cognitive Assessment, Rey Auditory Verbal Learning Test (RAVLT) (verbal learning and memory), Digit Symbol Substitution Test (processing speed and executive function), Stroop test (attention and cognitive control), and category and letter fluency tests (semantics and attention). A subset completed brain MRI to assess brain structure and white matter integrity. Multivariable linear regression models estimated the association between PCOS and outcomes, adjusting for age, race, education, and study center. Of the 1163 women in CWS, 907 completed cognitive testing, and of these, 66 (7.1%) met criteria for PCOS (age 54.7 years). Women with and without PCOS were similar for age, BMI, smoking/drinking status, and income. At year 30, participants with PCOS performed lower (mean z score; 95% CI) on Stroop (-0.323 (-0.69 to -7.37); p = 0.008), RAVLT (-0.254 (-0.473 to -0.034); p = 0.002), and category fluency (-0.267 (-0.480 to -0.040); p = 0.02) tests. Of the 291 participants with MRI, 25 (8.5%) met PCOS criteria and demonstrated lower total white matter fractional anisotropy, a measure of white matter integrity (coefficient (95% CI) -0.013 (-0.021 to -0.005); p = 0.002), though not abnormal white matter. Our results suggest that women with PCOS have lower cognitive performance and lower white matter integrity at midlife. Additional research is needed to confirm these findings and to determine potential mechanistic pathways including potential modifiable factors.

The Relationship Between Nurse Performance and Inpatient Satisfaction in Regional Hospitals, Madani Pekanbaru City

This study aims to test the relationship between nurse performance and inpatient satisfaction at Madani Regional Hospital in Pekanbaru City. The population of this study was inpatients at the Madani Regional Hospital of Pekanbaru City. This study consisted of two variables, including Nurse Performance (X), and Patient Satisfaction (Y). The samples in this study amounted to 120 samples using the Purposive Sampling method. The analysis method in this study uses Kendall's test or data processing using SPSS (Statistical Package of Social Science) version 25.0. Based on the results of the analysis shows that the Nurse's Performance in the range is quite good and Patient Satisfaction is in the range is quite good in general. The results of the hypothesis test stated that Nurse Performance has a strong relationship with Inpatient Satisfaction at Madani Regional Hospital in Pekanbaru City. This means that the higher the Nurse's Performance, the more Inpatient Satisfaction at the Madani Regional Hospital in Pekanbaru City.

Conditional Dependence across Slow and Fast Item Responses: With a Latent Space Item Response Modeling Approach.

There recently have been many studies examining conditional dependence between response accuracy and response times in cognitive tests. While most previous research has focused on revealing a general pattern of conditional dependence for all respondents and items, it is plausible that the pattern may vary across respondents and items. In this paper, we attend to its potential heterogeneity and examine the item and person specificities involved in the conditional dependence between item responses and response times. To this end, we use a latent space item response theory (LSIRT) approach with an interaction map that visualizes conditional dependence in response data in the form of item-respondent interactions. We incorporate response time information into the interaction map by applying LSIRT models to slow and fast item responses. Through empirical illustrations with three cognitive test datasets, we confirm the presence and patterns of conditional dependence between item responses and response times, a result consistent with previous studies. Our results further illustrate the heterogeneity in the conditional dependence across respondents, which provides insights into understanding individuals' underlying item-solving processes in cognitive tests. Some practical implications of the results and the use of interaction maps in cognitive tests are discussed.

DEVELOPMENT OF THE RECYCLING PROCEDURE FOR RAPID ANTIGEN TESTS

The article presents the problem of rapid antigen tests when they become mass waste after use. Based on this, the hypothesis was made that rapid antigen tests can be recycled. Rapid antigen tests, which were used in the Covid-19 epidemic to quickly detect infections in the population or to confirm the presence of the Sars-Cov 2 virus in patients, were intended to limit the spread of the epidemic. To confirm the hypothesis of recycling for rapid antigen tests, the LFIA-REC ATP 150 project was prepared, which was selected for co-financing by the Norwegian Fund.
 Rapid antigen tests consist of a sample and conjugate pad, detectable or nitrocellulose membranes and absorbent pads and a plastic case. The function of the sample pad is to evenly absorb the sample (mucus, blood) and lead it to the conjugate pad with a steady flow. Gold nanoparticles (labels) are deposited on the conjugate pad. The key is that the gold nanoparticles are conjugated with capture molecules capable of binding to potentially present antibodies or virus in the sample.
 The scope of the research problem thus required the inclusion of various characterization techniques that must be applied to the individual material in the rapid antigen test to subsequently develop an efficient recycling process for the rapid antigen tests. The result of the research presented in this paper represents a newly developed algorithm of characterization techniques, which includes a recommended description of the preparation of samples of key materials from rapid antigen tests. This algorithm successfully achieved the characterization of gold nanoparticles from rapid antigen tests. Based on the developed algorithm, the final part of the project will validate the recycling process of rapid antigen tests, so that they can be recycled, i.e. gold nanoparticles or plastic used in new products. The paper presents the algorithm of characterization techniques with a description of the preparation of material samples from rapid antigen tests.

Periodic-threshold amalgamated quasi-one-junction SQUID comparator

This article proposes a periodic-threshold superconductive comparator named amalgamated quasi-one-junction SQUID comparator (AQOS) for sensitivity enhancement. The comparator employs a pair of compound Josephson-junction SQUID with magnetically-controlled effective critical current in quantization to relieve the constraints on the period current without disrupting the non-hysteresis operation state. As a result, the AQOS comparator can achieve three times more comparing operations than the quasi-one-junction SQUID (QOS) comparators, corresponding to a 9 dB sensitivity improvement. The AQOS comparator also adopts the complementary structure and feedback-free topology for linearity and robustness. It can reach a 30 GS/s sampling rate, 0.5 mA period current, −25 dBm sensitivity, more than ±10 % bias current margin, deviation of quantization current peak-to-peak magnitude that is about 10 % of the mean, and the 4.4 dB average DC duty bias margin in simulation from 1 GHz to 30 GHz with a process of 6 kA/cm2 Josephson critical current density. A 2-bit AQOS comparator has been fabricated with the SIMIT Nb03 process for the qualification test. It has passed functional tests at low frequency, and its performance metrics, including period current, sensitivity, and bias current margin, have also been proven.

Semantic Image Segmentation by Dynamic Discriminative Prototypes

Semantic segmentation achieves significant success through large-scale training data. Meanwhile, few-shot semantic segmentation was proposed to segment image regions of novel classes through few labeled testing data. However, it ignores classes previously learned from training data. This paper proposes a new segmentation framework called segmentation by dynamic prototype (SDP), which can simultaneously segment the image regions of base classes learned from many training data and novel classes learned from a few testing data. SDP performs segmentation by searching for the nearest prototype of each pixel's features. Different prototypes are representative features for different classes. In testing, SDP dynamically constructs novel prototypes according to support images while maintaining base prototypes learned from training images. The main challenge of SDP is how to achieve intra-image compactness, intra-class compactness, and inter-class separability simultaneously in the feature space. To tackle these challenges, we first introduce a discriminative pixelwise feature and prototype training method to improve the above three types of feature discriminability. We then introduce a mask refinement process in testing, which refines support images' masks to extract more separable novel prototypes. In addition, we introduce a prototype adaptation process in testing, which allows all prototypes to adapt to query images to reduce the prototypes' intra-class variances. Our approach achieves state-of-the-art results for novel class segmentation against existing few-shot semantic segmentation methods on PASCAL-5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sup> and COCO-20 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sup> benchmarks in combination with superior runtime efficiency. In addition, our method can maintain strong results in the segmentation of base classes.

МОДЕЛЬ ПРОГНОЗИРОВАНИЯ РЕСУРСА УПРОЧНЕННЫХ МОЛОТКОВ КОРМОДРОБИЛЬНЫХ МАШИН

During operation, the working parts (hammers) of hammertype feed-crushing machines are subjected to intense wear. The maximum wear of the working edge of the hammer is considered to be wear up to the main axis of symmetry. To reduce wear and increase the service life of the hammer, a technology of combined hardening of the working edge of the hammer with a hard alloy plate using iron-carbon solder is proposed. This work is based on theoretical substantiations and experimental processing of production tests of hardened hammers. (Research purpose) The research purpose is searching for the regularities of the wear process of hardened hammers from operating time during the operation of the feed crushing machine. (Materials and methods) The design and technological parameters and mechanical properties of the materials of the hardened hammer were substantiated. Methods of processing the results of production tests based on mathematical statistics and reliability theory, comparative methods of analysis of hardened and serial hammers were presented. (Results and discussion) The results of studies of experimental hardened hammers were presented, in which the mechanical strength and the magnitude of the diffusion zone of the soldered connection of a hard alloy with the material of the hammer and the iron-carbon solder used in this case were determined. We carried out a theoretical analysis of the dependence of hammer wear on operating time and constructed a mathematical model for predicting the life of a hardened hammer. It was determined as a result of theoretical studies that with the combined hardening of the working edge of the hammer of the feed-crushing machine with a hard alloy VK8 using iron-carbon solder, the maximum operating time increases by 2.76 times. (Conclusions) The results of theoretical studies and production tests prove that the resource of hardened hammers has increased 3.5 times compared to serial ones. The constructed mathematical model for predicting the life of hardened hammers accurately reflects the results of experimental values of the dependence of hammer wear on operating time.

A Step Toward Precision Audiology: Individual Differences and Characteristic Profiles From Auditory Perceptual and Cognitive Abilities.

Older adults with normal hearing or with age-related hearing loss face challenges when listening to speech in noisy environments. To better serve individuals with communication difficulties, precision diagnostics are needed to characterize individuals' auditory perceptual and cognitive abilities beyond pure tone thresholds. These abilities can be heterogenous across individuals within the same population. The goal of the present study is to consider the suprathreshold variability and develop characteristic profiles for older adults with normal hearing (ONH) and with hearing loss (OHL). Auditory perceptual and cognitive abilities were tested on ONH (n = 20) and OHL (n = 20) on an abbreviated test battery using portable automated rapid testing. Using cluster analyses, three main profiles were revealed for each group, showing differences in auditory perceptual and cognitive abilities despite similar audiometric thresholds. Analysis of variance showed that ONH profiles differed in spatial release from masking, speech-in-babble testing, cognition, tone-in-noise, and binaural temporal processing abilities. The OHL profiles differed in spatial release from masking, speech-in-babble testing, cognition, and tolerance to background noise performance. Correlation analyses showed significant relationships between auditory and cognitive abilities in both groups. This study showed that auditory perceptual and cognitive deficits can be present to varying degrees in the presence of audiometrically normal hearing and among listeners with similar degrees of hearing loss. The results of this study inform the need for taking individual differences into consideration and developing targeted intervention options beyond pure tone thresholds and speech testing.

Analysis of dynamic features on local fatigue cracks in steel bridges

In steel bridges with orthotropic decks, a common and important engineering structure, fatigue cracks can appear under long-term operation. Existing artificial detection is the main approach to detecting fatigue cracks in steel bridges, in addition to some non-destructive testing or image processing methods, and unmanned aerial vehicle are applied to improve accuracy and efficiency. However, the detection of fatigue cracks in steel bridges based on the variation of dynamic responses or dynamic parameters is another attractive idea, which is still rarely mentioned and investigated in the international literature. The reason is that local cracks usually have negligible effect on the global dynamic characteristics of steel bridges, resulting in the insensitivity to dynamic indexes to fatigue cracks. On this occasion, this study numerically explores and establishes two sensitive damage features to local damage, i.e., the crack in the vertical rib, based on the fatigue cracks found on the Türr Istvan bridge over the Danube River in Hungary. The local vibrations of the bridge are excited through the local impact on the structural details, i.e., the vertical rib, and then the high-order frequencies of the entire bridge are examined. The obtained high-order frequencies are proved to be more sensitive to the fatigue cracks on vertical ribs and increased with the crack depths. On the other hand, the correlation of the stress curves on opposite sides of the crack is sensitive to the depth of the crack. If fatigue cracks are found, the development degree of the fatigue cracks can be monitored more accurately by focusing on the correlation of local stresses near the crack. These two damage features are numerically proven to have feasibility and are expected to break through the insensitivity of the existing dynamic detection methods.

The contemporary value and practical strategy of sports education in colleges and universities under the perspective of “five education”

Abstract A physical education and fitness course is a course with physical practice as the main means. Teachers often pay more attention to students’ physical practice in teaching but neglect the development of moral education, aesthetic education, intellectual education, and labor education. Aiming at this kind of teaching problem, this paper combines the concept of “five education” and the characteristics of physical education teaching. It puts forward the physical education teaching mode and practice path that permeates the idea of “five education.” Selection of research subjects, design, and distribution of a humanistic literacy questionnaire to obtain data, reliability test processing to ensure accuracy of research, and analysis of this paper. SPSS software is used to analyze an example of sports education work that integrates the concept of five education. Data presentation: the mean values of the post-test students’ humanistic literacy in the experimental group and the control group are 9.45 and 9.36, respectively, and the P value is 0.009, which indicates that the integration of the concept of five education in college physical education teaching is more advantageous in the cultivation of students’ humanistic literacy in comparison with the traditional physical education teaching mode. This study makes physical education classroom teaching more dynamic and versatile, gives a new meaning to physical education classroom teaching, and improves the effectiveness of physical education teaching.