Basic Personal Information Research Articles

Investigation and Analysis on Learning Burnout of Local College Students in China

The phenomenon of learning burnout is widespread among college students, which seriously affects their academic performance and hinders their physical and mental health development. In order to study the causes of college students' learning burnout and its impact, this project designed a questionnaire according to the current situation of learning burnout and conducted a pre-survey by combining online and offline. Taking college students in Anyang as the survey object, 443 formal questionnaires were distributed, and 381 were effectively recovered, with an effective recovery rate of 86%. Then, the reliability of the questionnaire is tested, and in-depth research is carried out from three modules: personal basic information, causes of learning burnout and effects of learning burnout. Using descriptive statistics to analyze the basic situation of the questionnaire, analyze the causes of learning burnout, and further analyze the influence of learning burnout according to the data. Finally, according to the above research and the current situation of college students' learning burnout, some suggestions are put forward for college students to avoid falling into learning burnout.

Depression in the schistosomiasis japonica population based on the PHQ-9 scale: a cross-sectional survey from Jiangxi Province, China

Depression is the second leading-cause of disability in China. Although studies have shown that more than 80% of patients with advanced schistosomiasis (AS) suffer from anxiety and depression, these study groups are all hospitalized patients with AS and do not represent the extent of the disease in the whole group. To our knowledge, there are no studies assessing the severity of depression in patients with other forms of schistosomiasis japonicum. Therefore, it is necessary to evaluate the occurrence and potential risk factors of depression in the schistosomiasis endemic population. This cross-sectional study was conducted in Jiangxi Province, where schistosomiasis is relatively common in China, as the investigation site. The Patient Health Questionnaire-9 (PHQ-9) scale was selected to assess the depressive symptoms in the study population. At the same time, basic personal information of the research subjects and relevant socio-economics and schistosomiasis endemic area indicators were collected. The survey results show that AS has the highest incidence of depression (34.35%), while non-advanced schistosomiasis (N-AS) and control group (CG) have 22.35% and 22.24% respectively; the incidence of depression in AS is significantly higher than in N-AS and CG, while there is no statistical significance in the comparison between N-AS and CG; the incidence of mild depressive symptoms accounts for 61.08%-75.54% of the total incidence of depression in different groups; multivariate analysis shows that the occurrence of moderate/severe depressive symptoms in the AS group was significantly related to above 60 years old, male, the combination of other serious diseases, personal financial difficulties, and marshland and lake endemic areas. In the N-AS group, the occurrence of moderate/severe depressive symptoms was significantly related to the combination of other serious diseases, personal financial difficulties, significant correlation between marshland and lake endemic areas and the level of control of schistosomiasis epidemics. In conclusion, depression is still relatively common among patients with schistosomiasis patients, especially those with AS. It is recommended that the government and relevant departments consider mental health care when developing prevention and control work in schistosomiasis-endemic areas, in order to effectively protect the physical and mental health of schistosomiasis patients and residents in endemic areas.

Clinical predictive value of pre-pregnancy tests for unexplained recurrent spontaneous abortion: a retrospective study.

Early prediction and intervention are crucial for the prognosis of unexplained recurrent spontaneous abortion (uRSA). The main purpose of this study is to establish a risk prediction model for uRSA based on routine pre-pregnancy tests, in order to provide clinical physicians with indications of whether the patients are at high risk. This was a retrospective study conducted at the Prenatal Diagnosis Center of Henan Provincial People's Hospital between January 2019 and December 2022. Twelve routine pre-pregnancy tests and four basic personal information characteristics were collected. Pre-pregnancy tests include thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine thyroid (FT4), thyroxine (TT4), total triiodothyronine (TT3), peroxidase antibody (TPO-Ab), thyroid globulin antibody (TG-Ab), 25-hydroxyvitamin D [25-(OH) D], ferritin (Ferr), Homocysteine (Hcy), vitamin B12 (VitB12), folic acid (FA). Basic personal information characteristics include age, body mass index (BMI), smoking history and drinking history. Logistic regression analysis was used to establish a risk prediction model, and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were employed to evaluate the performance of prediction model. A total of 140 patients in uRSA group and 152 women in the control group were randomly split into a training set (n = 186) and a testing set (n = 106). Chi-square test results for each single characteristic indicated that, FT3 (p = 0.018), FT4 (p = 0.048), 25-(OH) D (p = 0.013) and FA (p = 0.044) were closely related to RSA. TG-Ab and TPO-Ab were also important characteristics according to clinical experience, so we established a risk prediction model for RSA based on the above six characteristics using logistic regression analysis. The prediction accuracy of the model on the testing set was 74.53%, and the area under ROC curve was 0.710. DCA curve indicated that the model had good clinical value. Pre-pregnancy tests such as FT3, FT4, TG-Ab, 25-(OH)D and FA were closely related to uRSA. This study successfully established a risk prediction model for RSA based on routine pre-pregnancy tests.

Research on Personal Information Protection in the Context of Generative Artificial Intelligence

Personal information is the foundation of generative AI, and ChatGPT-like generative AI needs to process a large amount of personal information at various stages such as model training, model generation, and model optimization, which also has a certain impact on traditional personal information protection rules. During the information collection phase, generative AI may fugitive the informed consent rules and infringe on the privacy rights of information subjects. In the information utilization stage, generative AI may impact basic personal information processing rules such as the principle of purpose limitation and the principle of openness and transparency, increasing the risk of personal information leakage. At the information generation stage, generative AI can generate false and discriminatory information. Therefore, in the context of generative AI, personal information protection is faced with the problems of the notification and consent rules being hollowed out, the principle of minimum necessity being voided, and the frequent leakage of personal information. Based on this, it is necessary to promote the transformation of the "personal control center to the risk control center" of the notification and consent rules, promote the risk-based interpretation of the principle of least necessary, and improve the risk-based personal information protection compliance system to solve the problem of personal information protection in the context of generative AI.

A personalized machine learning–based system to evaluate students’ skillset and analyze the gap between academia and industry for engineering students

PurposeWith so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.Design/methodology/approachThe job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks (ANN) to suggest a student’s job role based on their academic performance and course outcomes (CO), out of which ANN performs better. The system uses the Mepco Schlenk Engineering College curriculum, placement and students’ Assessment data sets, in which the CO and syllabus are used to determine the skills that the student has gained from their courses. The necessary skills for a job position are then extracted from the job advertisements. The system compares the student’s skills with the required skills for the job role based on the placement prediction result.FindingsThe system predicts placement possibilities with an accuracy of 93.33 and 98% precision. Also, the skill analysis for students gives the students information about their skill-set strengths and weaknesses.Research limitations/implicationsFor skill-set analysis, only the direct assessment of the students is considered. Indirect assessment shall also be considered for future scope.Practical implicationsThe model is adaptable and flexible (customizable) to any type of academic institute or universities.Social implicationsThe research will be very much useful for the students community to bridge the gap between the academic and industrial needs.Originality/valueSeveral works are done for career guidance for the students. However, these career guidance methodologies are designed only using the curriculum and students’ basic personal information. The proposed system will consider the students’ academic performance through direct assessment, along with their curriculum and basic personal information.

Exploration of the impact of dysbiosis in the gut microbiota on microbial composition in children’s neurodevelopment

Objective To investigate the impact of gut microbiota dysbiosis on neurodevelopment in children. Methods This study included 338 children aged 0-3 years admitted to our hospital from January to December 2022, The children were divided into a normal neurodevelopment group (169 cases) and a poor neurodevelopment group (169 cases). Basic personal information and clinical data were collected through a detailed questionnaire, and the microbial composition in fecal samples was analyzed using 16S rRNA gene sequencing. Results Children in the poor neurodevelopment group showed a significant decrease in gut microbiota diversity compared to those in the normal neurodevelopment group (Shannon index, p < 0.05). The abundance of Bifidobacterium and Veillonella genera significantly decreased (p < 0.05), while the abundance of Streptococcus genus increased significantly (p < 0.05). Conclusion There is an association between gut microbiota dysbiosis and poor neurodevelopment in children. The increased abundance of Streptococcus genus and decreased abundance of Bifidobacterium and Veillonella genera in the gut microbiota may be potential risk factors for poor neurodevelopment in preterm infants. Future research should further explore the potential beneficial effects of gut microbiota modulation on neurodevelopment in children.

The Employment Trend of Music Industry and the Construction of Career Planning Model for Music Majors in Higher Vocational Colleges and Universities

Abstract This study addresses the current challenges facing music major graduates, particularly the narrow scope of employment opportunities and intense job market competition. Focusing on students from higher vocational colleges and universities, this paper presents a novel career planning model specifically tailored for music majors. Utilizing the enhanced K-Means++ algorithm, this model clusters students by calculating distances between their features and constructs detailed profiles based on basic personal information. Furthermore, a hybrid recommendation model that combines feature attributes into novel cross-features is introduced. This model employs deep learning techniques to refine the predictive accuracy of the employment recommendations. Central to this approach is the development of a career planning recommendation system. For empirical validation, this study utilized data from the 2024 music major graduates of Jiaying College in Guangdong Province, China. Analysis revealed that post-intervention, students’ awareness of career planning significantly increased, with mean values exceeding 3, marking a substantial improvement from their pre-intervention assessments. Statistically significant enhancements were observed in career maturity, particularly in the dimensions of self-knowledge and self-confidence (P&lt;0.01), as well as in their understanding of the occupational landscape (P&lt;0.05). Additionally, students demonstrated a notable increase in their adversity quotient and in leveraging social support, with both metrics showing significant improvements (P&lt;0.05). This study highlights the effectiveness of the proposed career planning model in fostering a more comprehensive and informed approach to career readiness among music majors.

The influence of spousal support on the outcomes and willingness of work from home for female knowledge workers

This study identified the key factors of spousal support that influence the outcomes and willingness of female knowledge workers to work from home (WFH). A questionnaire of 59 items was developed, covering basic personal information, spousal support, work perception, work-life balance, and willingness to WFH: 139 valid responses from female participants were collected and analysed. Exploratory factor analysis revealed six distinct factors of spousal support. Regression analysis found that personal-related emotional support, personal-related instrumental support, work-related emotional support, and work-related instrumental support demonstrated positive correlations with work perception and work-life balance, while family-related instrumental support positively correlated with work-life balance. Personal-related emotional support and personal-related instrumental support positively correlated with the willingness to WFH. Notably, personal-related emotional support exhibited the strongest correlation coefficients for willingness and outcomes. The findings could provide information on how a husband could improve his wife’s well-being when WFH. Practitioner summary: A survey was conducted among female knowledge workers to examine the influence of different factors of spousal support on the outcomes and willingness of WFH. The results shed light on how husbands can improve their wives’ well-being during WFH, offering practical guidance for supporting spouses in this context.

Effect of waiting time on patient satisfaction in outpatient: An empirical investigation.

This study aimed to identify the effect of waiting time on patient satisfaction and the relationship between different types of waiting time. The questionnaire contained 2 parts. The first part included questions about expected waiting time (EWT), reasonable waiting time, tolerance waiting time, and basic personal information. The second part included perceived waiting time (PWT) and satisfaction evaluation. The actual waiting time (AWT) was recorded by the worker. Linear regression was used to analyze the influence of waiting time on satisfaction. Before data collection, this study was approved by the hospital's health ethics committee. In total, 323 questionnaires were collected, of which 292 (90.4%) were valid. The EWT, tolerance waiting time, rational waiting time, and PWT had a significant effect on patient satisfaction (P = .006, P = .043, P = .009, P = .000), whereas AWT had no significant effect on satisfaction (P = .365). The difference between the EWT and AWT had a significant effect on satisfaction (P = .000), while the difference between the PWT and AWT had a significant effect on satisfaction (P = .000). Age, educational background, gender, appointment, and hospital visit experience had no significant effect on patient satisfaction (P = .105, P = .443, P = .260, P = .352, P = .461, respectively). Patient satisfaction with waiting time was not directly affected by AWT, but by subjective waiting times. Furthermore, objective waiting time affects patient satisfaction through the subjective waiting time. Therefore, hospital managers can improve service quality by focusing on adjusting a patient's subjective waiting time while reducing the objective waiting time.

Public Attitudes About the Use of Gene Therapy in Mainland China

In addition to technical barriers, public attitudes about the use of gene therapy have an important association with the clinical implementation of gene therapy. To investigate the factors associated with public acceptance of gene therapy among individuals in China. This cross-sectional study used data from a survey conducted among 21 880 individuals in mainland China from June 20 to August 31, 2022. Stepwise linear regression was used to analyze factors associated with public acceptance of gene therapy in 5 key areas: basic personal information (gender, region, age, and educational level), family situation (marital status, children, and cousins), economic status (assets, debts, and insurance coverage), health knowledge (health literacy score and media use), and physical health status (chronic illness, cancer, European Quality of Life 5-Dimension 5-Level version [EQ-5D-5L] score, and Brief Illness Perception Questionnaire [BIPQ] score). Acceptance scores were calculated based on a visual analog scale (range, 0-100, with higher scores indicating higher acceptance of gene therapy). Further subgroup analysis was carried out in different age subgroups and populations with or without chronic diseases. A total of 21 880 participants (mean [SD] age, 39.4 [18.9] years; 10 947 female participants [50.0%]; 10 933 male participants [50.0%]) were analyzed in this study. The mean (SD) acceptance score of gene therapy in the survey was 60.56 (27.60). Compared with people aged 60 years or older, those aged 12 to 18 years had higher acceptance of gene therapy (β = 1.48 [95% CI, 0.09-2.88]), while groups aged 19 to 30 years (β = -3.43 [95% CI, -4.80 to -2.07]), 31 to 44 years (β = -1.44 [95% CI, -2.76 to -0.12]), and 45 to 59 years (β = -2.05 [95% CI, -3.27 to -0.83]) had lower acceptance. Compared with people living in Eastern China, those in Central China had lower acceptance of gene therapy (β = -1.58 [95% CI, -2.54 to -0.62]), while those in Western China had higher acceptance (β = 0.92 [95% CI, 0.09-1.76]). Higher educational level (undergraduate or above vs junior high or below) was associated with higher acceptance of gene therapy (β = 1.56 [95% CI, 0.49-2.63]). Number of properties owned was also associated with higher acceptance of gene therapy (2 vs 0: β = 2.38 [95% CI, 1.04-3.72]; ≥3 vs 0: β = 4.66 [95% CI, 2.92-6.39]). Diagnosis of chronic disease was associated with lower acceptance of gene therapy (β = -17.86 [95% CI, -20.49 to -15.24]), while diagnosis of cancer was associated with higher acceptance (β = 6.99 [95% CI, 1.84-12.14]). Higher BIPQ score (β = 0.40 [95% CI, 0.34-0.45]), higher health literacy score (β = 0.70 [95% CI, 0.62-0.78]), and media use (β = 0.49 [95% CI, 0.41-0.57]) were all associated with high acceptance of gene therapy, while a higher EQ-5D-5L score was associated with lower acceptance (β = -0.29 [95% CI, -0.47 to -0.11]). For older people, being in debt, not having health insurance, and the EQ-5D-5L score were uniquely relevant factors. For people with chronic disease, having an undergraduate degree or higher, a diagnosis of cancer, and the BIPQ score were uniquely relevant factors. These results suggest that basic personal information, economic status, health knowledge, and physical health status were the main factors associated with the acceptance of gene therapy. Improving the health literacy of the population and promoting trust in gene therapy may be effective ways to increase the acceptance of gene therapy. Poorer economic levels and worse disease states may reduce the public's willingness to accept gene therapy.

Analysis of the factors influencing male infertility of reproductive age in Jinan.

The World Health Organization (WHO) defines infertility as a person failing to achieve a pregnancy after 12 months or more of regular unprotected sexual intercourse. Infertility includes female infertility and male infertility. The aim of this paper is to study the etiology of infertility and related influencing factors in men of reproductive age in Jinan. In this study, 172 male infertile patients who attended the Department of Assisted Reproduction of Shandong Provincial Maternal and Child Health Hospital in Shandong, China and the Infertility Clinic of Jinan Central Hospital in Shandong, China from August 2021 to April 2022 are selected as the study population (infertility group). A convenience sampling method is used to select 257 men from couples attending the Obstetrics Department of Qilu Hospital in Shandong, China, the Obstetrics Department of the Second Hospital of Shandong University in Shandong, China, and the Obstetrics Department of Maternal and Child Health Hospital in Shandong, China from October 2021 to February 2022 as the study subjects (control group). A self-designed questionnaire is used to conduct the survey, which includes basic personal information, lifestyle information, marital and family-related information, and one-way and multi-way logistic regression analyses are performed. The average age of the case group and the control group are 34.03±5.13 years old and 33.61±8.18 years old; the average height is 175.80±5.91 cm and 176.78±5.25 cm; the average weight is 80.28±14.70 kg and 83.09±45.36 kg. The differences in age, height, and weight between the case group and the control group are not statistically significant by t-test. Moderate oligospermia is the predominant cause of infertility in men of reproductive age in Jinan. A multifactorial logistic regression analysis yields that academic qualifications (OR=2.518, 95% CI: 1.023 to 6.196), coffee consumption (OR=7.692, 95% CI: 1.623 to 36.460), living in a room that had been renovated within a period of time (OR=2.769, 95% CI: 1.104 to 6.949), stress level (OR=47.280, 95% CI: 23.656-94.494), quality of sexual life (OR=3.352, 95% CI: 1.331-8.442), and duration of couple separation (OR=3.851, 95% CI: 1.094-13.557) are the main risk factors for infertility in men of reproductive age in Jinan. In this study, a total of 6 risk factors are screened for male infertility in Jinan in the reproductive age, including high academic qualifications, coffee consumption, living in a room that has finished renovation within 3 months, high stress, poor quality of sexual life, and long spousal separation. Three factors can be controlled, avoided, or reduced through personal actions; the factors are coffee consumption, living in a room that has finished renovation within 3 months, and high stress, all of which may reduce the level of male reproductive health.

Research on predicting the impact of promotional activities on consumer behavior in omnichannel retailing

In recent years, the omnichannel sales model has rapidly emerged and is widely used in a context in which consumer buying behavior is influenced by a variety of factors that produce complex changes. Among these factors, the impact of omnichannel promotions on consumer behavior is particularly critical, and thus this research area has received much attention. Predicting the shopping feedback of different types of consumers with different numbers of promotions can help companies develop targeted promotional strategies and improve the consumer shopping experience. In this paper, we classify consumers into different types by clustering them in three dimensions: basic personal information, shopping preference, and shopping channel preference. Based on this, a machine learning prediction model based on the random forest algorithm is built in each of the three dimensions, and the model's performance is evaluated by plotting ROC curves. In order to improve the model's performance, this paper uses the up-and-down sampling method to balance the data. The prediction model based on consumers' "basic personal information", "shopping preference," and "shopping channel preference" has been successfully developed, and the prediction results are excellent. This study provides guidance for companies to develop targeted promotion strategies and offers new ideas and methods for marketing and data analysis. In the future, we can continue to dig deeper into consumer behavior data, classify consumers in more dimensions, build more accurate prediction models, and continue to improve the scientific and accurate promotion decisions of enterprises.

The Effectiveness of Reality Therapy Based Psycho-Education Program Regarding Decreasing the Level of Problematic Internet Usage of Adolescents

The aim of this study is to examine the effectiveness of 10 session psycho educational program which was developed within the scope of the research to decrease the problematic internet usage level of adolescents. Embedded design, which is one of the mixed method types of research, was used in the research. In the quantitative experimental stage of the research, experiment, control, and placebo x pretest-posttest-follow-up test design was used. In addition, qualitative data were obtained with the focus group interview after the experiment. The study was started with 12 adolescents in each group, but it was completed with 11 adolescents in the experimental and control group, 12 in the placebo group, due to the loss of test subjects during the experiment. The data of the research was collected via Problematic Internet Usage Scale-Adolescent Form, Basic Needs Scale and Personal Information Questionnaire. The quantitative findings obtained from the research indicated that as a result of the experimental process the program has a significant effect on decreasing problematic internet usage levels of adolescents and meeting the need for love and belonging; however, it does not have a significant effect on the level of meeting other psychological needs. There was no significant difference between the control and placebo groups. Moreover, the findings of the focus group interview conducted with the experimental group revealed that adolescents gained awareness of internet use, their frequency of internet use decreased, and their aims changed, and they tried to meet their psychological needs in a social environment.

494 A Qualitative Analysis of Barriers and Facilitators to Documentation in Community Pharmacy Electronic Patient Records in Ireland

Abstract Introduction An Electronic Patient Record (EPR) is a repository for medical and pharmaceutical information in Community Pharmacies. Studies have shown that almost three-quarters of EPRs have at least one discrepancy between information documented in the EPR and patient-reported information, while drug therapy alerts failed to appear for about one-third of patients due to a lack of documented medical and/or pharmaceutical data(1). More complete documentation in Community Pharmacy EPRs could improve the quality of patient care provided. To-date, there is limited research available concerning documentation in Community Pharmacy EPRs in Ireland. Aim The aim of this study was to identify the key barriers and facilitators to documentation in Community Pharmacy EPRs in Ireland. Methods Registered Community Pharmacists were invited to participate via email using convenience sampling. Participant Information Leaflet and Consent Forms were emailed to each community pharmacist at least 24 hours prior to each interview explaining why and how the research study was being carried out. Semi-structured interviews were carried out until theoretical saturation was reached. 11 interviews were conducted virtually through the UCC-approved Google Meet and two interviews took place by telephone. Finally, the audio recordings from interviews were transcribed verbatim and then analysed using Braun and Clarke’s thematic analysis(2). Results A total of 13 Community Pharmacists were interviewed. The majority of participants were female (n=9), supervising pharmacists (n=8), and had greater than 10 years community pharmacy experience (n=8). All pharmacists document the basic personal and clinical patient information necessary for safe supply as advised by the Pharmaceutical Society of Ireland (PSI), but most did not document additional information such as morbidities or over-the-counter medication. The key barriers identified were accessing information from Healthcare Professionals and patients, software limitations and time. The key facilitators identified were Standard Operating Procedures and a centralised Electronic Health Record system. Most pharmacists were willing to participate in a training program to enhance documentation practices. Conclusion This study highlighted the key barriers that need to be addressed to facilitate more complete documentation. A limitation is the potential for social desirability bias in participants in minimising the extent of negative documentation practices. Comprehensive interventions combining more guidance from the PSI, webinars on utilising the EPR, and software modifications could encourage practice change. Future research should evaluate the impact of these measures on documentation completeness in Community Pharmacy EPRs in Ireland.

Using personal comfort systems during the post-heating season in a cold climate: A field study in offices

A field investigation of the indoor thermal environment and comfort in a typical office building in Qingdao was conducted. During the investigation, the indoor and outdoor environment physical parameters, such as air temperature and relative humidity (RH), were recorded in real-time. The occupants’ thermal responses, basic personal information, and adaptive behaviors were collected. The results showed that the indoor air temperature was from 18.8 °C to 21.6 °C, which was 2–3 °C lower than that during the heating season. Occupants employed heating personal comfort systems (HPCSs), such as electric heaters, air heaters, and leg radiators, to maintain thermal comfort. Based on their requirements for HPCSs, the occupants were divided into three groups-those without HPCS and did not prefer to use (Group A), those with HPCS (Group B), and those without HPCS but preferred to use (Group C). The results showed that the legs and feet thermal sensation of Group B was significantly higher than that of Group C, which made Group B more comfortable. The self-evaluated working efficiency of Group B was slightly higher than that of Group C. Notably, working efficiency was positively related to the overall thermal comfort vote (TCV).

Factors that influence the health of mathematicians, physicists, and chemists: Data obtained from China

Given the practical implications of looking into the health of scholars, it is of great priority to figure out the factors that are generally agreed to be the contributors to sustained health, to which end, this paper sets out to collect the mainstream insight into all possible influencing factors. Three research scheme are proposed in this paper under which basic personal information are collected first from 520 scholars in mathematics, physics, and chemistry for an analysis of their longevity performance via a comparison with common values under the demographic perspective to derive the raw longevity information of the scholars. Also, the ways they manage to maintain health are ascertained, on the basis of which the reasons for their sustained health are provided.

Association among urinary polycyclic aromatic hydrocarbons metabolites, SAHH activity and H19 expression in coke oven workers

Objective: To investigate the relationship of polycyclic aromatic hydrocarbons (PAHs) exposure, S-adenosylhomocysteine hydrolase (SAHH) activity and long noncoding RNA H19 gene expression in the urine of coke oven workers. Methods: In September 2019, in a coking plant in Taiyuan City, 146 male workers who had worked in coke oven operations for one year were selected through a completely random sampling method, and their basic personal information was collected by questionnaire survey, and blood and urine samples were collected. The levels of 4 PAHs metabolites 2-hydroxfluorene (2-FLU), 2- hydroxynaphthalene (2-NAP), 9-hydroxyphenanthren (9-PHE), and 1-hydroxypyrene (1-OHP) in urine were detected by high performance liquid chromatography (HPLC) -fluorescence detection method. HPLC-UV detection method was used to detect the content of S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) in plasma, and the SAHH activity value was obtained by calculating the ratio. Reverse transcription PCR method was used to determine the H19 gene expression level. Urine levels of 2-FLU, 2-NAP, 9-PHE, and 1-OHP were divided into Q(1), Q(2), Q(3), and Q(4) groups according to quartiles (P(25), P(50), P(75)). Regression, trend test and restricted cubic splines were used to analyze the relationship among PAHs metabolites, SAHH activity, H19 gene expression and their dose-response. Results: The median age of coke oven workers was 39.60 years old, the median length of service was 20.38 years, and the urinary levels of 2-FLU, 2-NAP, 9- PHE, and 1-OHP were 0.29, 0.74, 0.09, and 0.06 μg/mmol Cr, respectively. The levels of 2-FLU, 2-NAP and 9-PHE in the urine of workers were significantly different between groups with different 1-OHP levels (P<0.05). After adjusting for age, length of service, smoking, drinking, and levels of 2-FLU, 2-NAP and 9-PHE, SAHH activity decreased with the increase of urinary 1-OHP level (OR=0.63, 95%CI: 0.41-0.98, P=0.038), showing a nonlinear relationship (P(nonlinear)= 0.030). H19 gene expression increased with the increase of urinary 1- OHP level (OR=1.51, 95%CI: 1.03-2.19, P=0.033), there was a linear relationship (P(trend)= 0.058). The relationship between the other three metabolites in urine and SAHH activity and H19 gene expression was not statistically significant (P>0.05) . Conclusion: Urinary 1-OHP level may be a risk factor for decreased SAHH activity and increased H19 gene expression in coke oven workers.

Status and Influencing Factors of Hypertension in the Elderly Aged 60 and Above in Mianyang

Objective To understand the prevalence and influencing factors of hypertension among the elderly aged 60 years and above in Mianyang City,Sichuan Province,so as to provide clues for targeted prevention and control of hypertension. Methods A total of 115 775 permanent residents aged 60 and above screened out from Mianyang demonstration sites from October 2017 to April 2019 were investigated by questionnaire and physical examination,and the data of personal basic information,lifestyle,body height,body weight,waist circumference,and blood pressure were collected.SPSS 22.0 was used for descriptive analysis,single factor analysis,and Logistic regression analysis. Results The prevalence rate of hypertension in the elderly aged 60 years and above in Mianyang was 50.60%.Specifically,the prevalence rates of hypertension in men and women were 50.27% and 50.85%,respectively.The prevalence rate of hypertension increased with the increase in age([Formula: see text]=370.199,P<0001).Multivariate Logistic regression analysis showed that the independent risk factors of hypertension included age of 70-79 years(OR=1.327,95%CI=1.292-1.363,P<0.001),the age of 80 years and above(OR=1.455,95%CI=1.386-1.527,P<0.001),widowhood(OR=1.343,95%CI=1.296-1.392,P<0.001),divorce(OR=1.255,95%CI=1.033-1.525,P=0.022),overweight(OR=1.431,95%CI=1.391-1.473,P<0.001),obesity(OR=2.171,95%CI=2.076-2.270,P<0.001),waist-to-height ratio>0.5(OR=1.317,95%CI=1.281-1.354,P<0.001),history of diabetes(OR=1.865,95%CI=1.791-1.941,P<0.001),history of smoking(OR=1.107,95%CI=1.068-1.148,P<0.001),and history of drinking(OR=1.950,95%CI=1.894-2.009,P<0.001).Living in urban-rural fringe areas(OR=0.628,95%CI=0.594-0.664,P<0.001),education background of junior high school and above(OR=0.942,95%CI=0.912-0.974,P<0.001),and low body weight(OR=0.785,95%CI=0.742-0.830,P<0.001) were protective factors for hypertension. Conclusions More than 50% of the elderly aged 60 years and above in Mianyang suffer from hypertension.The elderly with advanced age,widowhood,divorce,overweight,obesity,waist-to-height ratio>0.5,diabetes history,smoking history,and drinking history are the high-risk groups of hypertension.

Extraction and Analysis of Influencing Factors of Scientific and Technological Ability Improvement of University Teachers Based on Deep Learning Model

In order to improve the development and construction level of colleges and universities and help teachers improve their scientific and technological abilities, a model based on deep learning model for the extraction and analysis of factors affecting the improvement of college teachers’ scientific and technological abilities was proposed. This article analyzes the data of teaching evaluation and finds that the text contains students’ subjective understanding of teachers’ teaching quality defects. By extracting key words from students’ teaching evaluation texts and combining with the teaching evaluation indexes, a teaching evaluation label system integrating teaching evaluation texts is designed. In order to find the defects of teachers’ teaching ability, this article, based on the principle of data portrait, combines the characteristics of teachers’ personal basic information, curriculum information, teaching evaluation information, and social relations to portrait teachers. The experimental results show that the F1 value extracted from the evaluation labels fluctuates in the evaluation text data of different colleges, with the lowest value of 91.7% in the School of Statistics and the highest value of 95.8% in the School of Foreign Languages. The algorithm in this article has a higher F1 value of the evaluation label vector extracted from the evaluation text of different grades. F1 values showed a trend of gradient decline with the increase of grade, and the decreasing range became bigger and bigger. Conclusion. The constructed teacher portraits are more accurate and effective, and provide a comprehensive and effective data model for teaching ability improvement method recommendation strategy.

What is effective classroom dialog? A comparative study of classroom dialog in Chinese expert and novice mathematics teachers' classrooms.

Conducting effective classroom dialog is an important foundation for high-quality classrooms. This study investigates the characteristics of effective classroom dialog from the perspective of Chinese mathematics classrooms. Classroom videotapes from 40 expert and 33 novice teachers were selected from a national project and analyzed through a developed coding framework. Results showed that the dominant types of dialog in expert teachers’ classrooms were related to Basic Knowledge, Construction, Analysis, and Personal Information. Compared to novice teachers, expert teachers’ classrooms have a significantly lower proportion of dialog on Basic Knowledge and significantly higher proportions of dialog on Personal Information and Speculation. Based on expert teachers’ classrooms, the characteristics of effective classroom dialog in the Chinese context were discussed. The analytical framework for classroom dialog developed in this study could be a powerful tool for subsequent research. Suggestions are provided on increasing the effectiveness of classroom dialog.