Socio-economic status and lifestyle factors are associated with achalasia risk: A population-based case-control study

AIM: To evaluate the association between various lifestyle factors and achalasia risk.METHODS: A population-based case-control study was conducted in Northern Ireland, including n = 151 achalasia cases and n = 117 age- and sexmatched controls. Lifestyle factors were assessed via a face-to-face structured interview. The association between achalasia and lifestyle factors was assessed by unconditional logistic regression, to produce odds ratios(OR) and 95% confidence interval(CI).RESULTS: Individuals who had low-class occupations were at the highest risk of achalasia(OR = 1.88, 95%CI: 1.02-3.45), inferring that high-class occupation holders have a reduced risk of achalasia. A history of foreign travel, a lifestyle factor linked to upper socioeconomic class, was also associated with a reduced risk of achalasia(OR = 0.59, 95%CI: 0.35-0.99). Smoking and alcohol consumption carried significantly reduced risks of achalasia, even after adjustment for socio-economic status. The presence of pets in the house was associated with a two-fold increased risk of achalasia(OR = 2.00, 95%CI: 1.17-3.42). Nochildhood household factors were associated with achalasia risk.CONCLUSION: Achalasia is a disease of inequality, and individuals from low socio-economic backgrounds are at highest risk. This does not appear to be due to corresponding alcohol and smoking behaviours. An observed positive association between pet ownership and achalasia risk suggests an interaction between endotoxin and viral infection exposure in achalasia aetiology.

Influence of socio-economic status and environmental factors on serologically diagnosed Japanese encephalitis cases in the state of West Bengal, India during 2005-2010

Objectives: The main aim of the current study is to examine the influence of socio-economic status and environmental factors on serologically diagnosed Japanese encephalitis cases in the state of West Bengal, India during 2005-2010. Materials and methods: A total of 648 blood/CSF specimens were collected and/or referred from the suspected AES cases, admitted in the different medical colleges and hospitals of the state during the year of 2005-2010. These specimens were subjected to JE Mac ELISA to determine the actual JE case amongst these AES. The association of the socio-economic status and environmental factors with the serologically diagnosed JE positive cases was studied by a statistical analysis through Normal Deviate test or Z test. Result: Out of 648 specimens, only 175 (27.0%) specimens were reactive to JE IgM antibody, of which 60.0% were from the male individuals and 40.0% from the female population. Major cases were observed in the age group of 0 - 10 years;followed by 11 - 20 years. Regarding literacy, only 58.3% cases had no education and 41.7% were from the literate with varying level of education, i.e., from primary level to post gra- duate level. A total of 65.7% cases were from low income group where as only 34.3% cases were from high income group. Regarding house type, 62.3% cases lived in mud house and 37.7% cases lived in the brick house. In most of the cases (74.3%), persons were living in close proximity to rice fields/lakes/ponds. 69.7% cases were found to occur in the monsoon and post-monsoon period whereas 30.3% cases were reported in the pre-monsoon period. Conclusion: Our study concludes that socio-economic status and environmental conditions were statistically significant contextual risk factors for serologically diagnosed JE incidences in West Bengal where JE is proved to be endemic in nature and such study constitutes a new report of this kind in the region.

Socio-Economic Status and Gender as Determinant of Dietary Practices of Secondary School Students’by Exposure to Pictorial Nutrition Education for Sustainability

Objectives:The study examined socio-economic status and gender as determinant of dietary practices of senior secondary school students in Edo South Senatorial district for healthy living and sustainability.Methodology:Quasi experimental research design was employed in the study.Three research questions were raised and formulated into hypotheses,tested at 0.05 level of significance.A multistage random sampling technique was used to sample 245 students from two public schools in Oredo local government areas within Edo south senatorial district.Two(2)instruments(questionnaire and achievement test)validated and reliability of 0.64 and 0.84 reliability co-efficient were obtained.The demographic data/SES,dietary practices(DDPSESQ)was used to obtain information on their dietary practices and socio-economic status,while the pictorial nutrition achievement test(PNAT)consisted of the pre-and post-test.The treatment package comprised planned lessons of 40 minutes each for six(6)weeks.The data collected were analyzed using inferential statistics;hypotheses 1 and 2 were tested using the independent t-test while hypothesis 3 was tested using One-Way ANOVA statistics.Findings:The study revealed that there is no significant difference in dietary practices of students of high,medium and low socio-economic status as a result of exposure to pictorial nutrition education.There was no significant difference in dietary practices by gender.The study concluded that socio-economic status does not determine dietary practices of secondary school students for responsible living.

Incidence of Stroke among Swedish-Born and Migrant Women<br/>—The Role of Socio-Economic Status, Smoking, and Physical Activity

Introduction: The incidence of stroke has decreased in Sweden as well as in most developed countries, but a high number of migrants have arrived in Sweden, during the last decades, which may have influenced the incidence. Aim: The aim of this study was to examine the incidence of stroke in women, born outside as well as in Sweden. Furthermore, the aim was to examine how socio-economic factors, smoking, and physical activity could modify the risk for stroke. Method: Data from the “Malm&ouml;Diet and Cancer Study” was used for the analysis. In total, 16,857 women were included (14,849 of them born in and 2,008 born outside Sweden), aged 45 - 73 years with a mean age of 57.4 years. Result. A significantly increased relative risk (RR) was found for the incidence of stroke for current smokers in both Swedish-born and migrant women. In Swedish-born women the RR was 1.98 (CI: 1.66 - 2.36) and for migrant women the RR was 1.83(CI: 1.13 - 2.96). The adjusted relative risk for the incidence of stroke in Swedish-born women performing moderate/high physical activity was RR 0.71 (CI: 0.61 - 0.84) and for migrant women it was RR 0.77 (CI: 0.49 - 1.20). The relative risk in relation to low socio-economic circumstances (SES) was significant only for Swedish-born women (RR 0.85 [CI: 0.73 - 0.99]). Among currently smoking Swedish-born women with a low SES the RR was 1.27 (CI: 1.03 - 1.57) in comparison with smoking migrant women, whose RR was 1.68 (CI: 0.92 - 3.09). Conclusion: No differences were found indicating that migrant women in this population had a higher risk as compared to Swedish-born women. However, migrant smoking women were more vulnerable to stroke compared to Swedish-born women. Physical activity was effective in reducing the risk of stroke among the total population and especially in the Swedish-born women. To increase physical activity in middle-aged women, in both migrant and Swedish-born women, is a highly recommended public health strategy.

National Social Investment Programmes in Nigeria:A Descriptive Analysis of the Socio-Economic Contributions of N-Power Programme in Benue State

This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria have made concerted efforts towards improving the standard of living of the citizenry through the execution of various welfare or social intervention programmes,but not much successes were recorded.Learning from the mistakes of the past regimes,and by way of deliberate state policy,the Buhari’s government initiated a multi-pronged social investment policy,one of which is the N-power programme that came onboard in 2016,which also doubles as the subject of this study.To achieve the goal of this study,a combination of desktop research and survey design was employed.Questionnaires were administered to 390 respondents through a combination of stratified and random sampling techniques.The results of the survey were matched with that of the secondary data obtained through online websites and other related sources.The result indicated that N-Power made positive contributions to the socio-economic life of the beneficiaries in Benue State:specifically,the scheme contributed in poverty eradication,employment generation,skills acquisitions and capacity building.However,some aspect of our findings revealed that the programme has a number of challenges such as:inadequate cash support,delay in monthly cash transfer to beneficiaries,distance participants had to move to their work stations,absence of posting in N-Teach scheme,and lack of adequate working tools amongst others.To salvage this problem the paper recommended the following solutions:expansion of the scheme to cover N-Teach and other aspects,increment in the monthly cash transfer to cushion the high rate of inflation,support for the participants/beneficiaries in transportation and logistics,enrolment of more youth into the various schemes,proper monitoring and evaluation of the implementation of the schemes amongst others.

Socio-Economic and Technical Characteristics of Beef Cattle Breeding in Ndé Division, West Region of Cameroon

Insight is here provided into the socio-economic and technical characteristics of cattle production in the Ndé Division (West Cameroon region). Using a semi-structured questionnaire, information on the activity was assessed following onsite visits and interviewing breeders. Through a random sampling scheme, 110 breeders in the four subdivisions of the Ndé Division were shadowed. The majority (98.18%) of breeders were men aged 20 to 40 and married (91.82%). They belong to the Mbororo ethnic group, having cumulated more than 10 years in the activity. Most respondents (50.91%) did not attend school and earn their living mainly from livestock (78.18%). Cattle were raised for sale and to feed the breeder’s family (77.27%). The main mode of acquisition of animals was through inheritance (81.82%). The cattle breeds were mostly made up of white Fulani (70%), living in private farms using a combination of stake and barbed wires (67.27%) as fences. The combination of natural fodder and cooking salt was used by most breeders (59.09%) as a daily ration. Reproduction was by natural mating (97.07%). Parasites (internal and external) and foot-and-mouth disease were the main diseases reported by the majority of farmers. Self-treatment (50%) was the main prophylactic measure taken by farmers in case of disease symptoms. Cattle herders faced several challenges, such as insufficient pasture (67.27%), agro-pastoral conflicts (76.36%) and diseases (90.91%). Cattle breeding was rather a widespread activity with no particular restriction.

Socio-Economic Characteristics of Three Artisanal Fisheries Communities in the Northern Sudanese Red Sea Coast

Socio-economic characteristics related to fishing gears and boats from three selected small-scale fishers’ communities (Oseif, Dungonab and Mohammed Qol) in the northern part of the Sudanese Red Sea coast were studied. The study was designed to provide base line data and information on the current socio-economic situation, factors that determine the use of fishing gear, types of boats and fishing equipment, challenges facing fishers and the extent to which fishing gear and boats are related with the socio-economic characteristics of the fishers community in the study sites. Fieldwork was carried out during 2016. The study methods included a series of interviews based on questionnaires, field observations and focus group discussions. The results of the study showed that the most common fishing gears are handlines, cast nets and gillnets. The two types of boats used at the study sites are motorized fiberglass and houri (motorized and paddled) with a V-shaped hull. Boat ownership varies among fishers. Each fisher can have several types of gears in different numbers. Target fish species, season, efficiency of gear and fishing location were the main factors determining the use of fishing gear at study sites, respectively. All fishers are men and most have families of at least four people. The majority of fishers are between 21 and 50 years old and work mainly in fishing. They inherited fishing knowledge within the family, and most of them have been working in artisanal fishing for more than 10 years. Fishers have relatively good net incomes compared to other government employers in the study sites. Most fishers work full time in fishing. A small number of fishers work part-time with the possibility of undertaking other income-generating activities such as animal husbandry and seasonal agriculture. The main challenges identified by fishers at the study sites were fish prices, sea surface roughness and high cost of fishing materials, respectively. Most fishers perceived a recent decline in both catch size and abundance.

Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation

Metal-ion batteries(MIBs),including alkali metal-ion(Li^(+),Na^(+),and K^(3)),multi-valent metal-ion(Zn^(2+),Mg^(2+),and Al^(3+)),metal-air,and metal-sulfur batteries,play an indispensable role in electrochemical energy storage.However,the performance of MIBs is significantly influenced by numerous variables,resulting in multi-dimensional and long-term challenges in the field of battery research and performance enhancement.Machine learning(ML),with its capability to solve intricate tasks and perform robust data processing,is now catalyzing a revolutionary transformation in the development of MIB materials and devices.In this review,we summarize the utilization of ML algorithms that have expedited research on MIBs over the past five years.We present an extensive overview of existing algorithms,elucidating their details,advantages,and limitations in various applications,which encompass electrode screening,material property prediction,electrolyte formulation design,electrode material characterization,manufacturing parameter optimization,and real-time battery status monitoring.Finally,we propose potential solutions and future directions for the application of ML in advancing MIB development.

Assessement of Nutritional Status of Households Using Weighed Food Intake in North West Region of Cameroon

This study determined the nutritional status of households in North western region of Cameroon using weighed food intake. Twenty–two rural and 106 urban households were randomly selected for weighed food intake Descriptive and inferential statistics were used to analyze collected data and significance at p < 0.05 accepted. Corn fufu with huckleberry was the most frequently consumed meal with little or no animal-source protein. Protein and B group vitamins intake of respondents in both communities were below the FAO/WHO recommended values while energy, iron, and vitamins A and C were in excess for most age groups. Adolescents 10 - 19 years and adults 20 years and above failed to meet at least 85% of RNI for calcium.

Changes of China’s Status in the Global System and Its Influencing Factors:A Multiple Contact Networks Perspective

Clarifying China’s position in the global system is an important logical basis for developing national diplomacy.Although much research has been done on China’s development status,most studies have been based on country comparisons or institutional en-vironment.In today’s networked era in which the global economy,trade,personnel,and information are closely connected,studies on China’s global position and its status changes and influencing factors in multiple contact networks are still insufficient.In this study,from the perspective of diverse global contact networks,we constructed economic,cultural,and political influence indices to explore the changes and influencing factors on China’s status in the global system from 2005 to 2018.The results show that during the study period,China’s global influence in the fields of economic ties,cultural exchanges,and political contacts increased significantly,but its influ-ence in the fields of cultural exchanges and political contacts lagged far economic ties.The pattern of China’s economic influence on various economies around the world has shown a transformation from an‘upright pyramid’to an‘inverted pyramid’structure.The proportion of these economies in low-influence zones has decreased from more than 60%in 2005 to less than 20%in 2018.China’s cultural and political influence on various economies around the world has increased significantly;however,for the former,the percentage of high-influence areas is still less than 20%,whereas for the latter the percentage of these economies in medium-and high-influence areas is still less than 50%.Analyses such as a scatter plot matrix show that geographical proximity,economic globalization,close cooperation with developing countries,and a proactive and peaceful foreign policy are important factors in improving China’s status in the diverse global network system.

Implementation Status and Development Strategies of Study Tour in Primary Schools in Nanchang City : A Case Study of L Primary School

In recent years,with the support and promotion of relevant policies such as the Opinions on Promoting Study Tour for Primary and Secondary School Students jointly issued by the Ministry of Education and 11 other departments,a wave of study tour has been sparked nationwide from individual pilot projects to gradual promotion.In this paper,students and teachers from grades 4 to 6 of L Primary School in Nanchang City,Jiangxi Province were selected as the survey objects.Combining the survey questionnaire,the current situation of conducting study tour in the primary school was sorted out and analyzed in depth from several aspects such as study tour cognition,study tour participation,study tour implementation,etc.Based on the survey results and relevant research,the current problems in conducting study tours in primary schools were summarized,and targeted improvement measures were proposed,in order to promote the healthy development of study tours in primary schools.

Preoperative controlling nutritional status as an optimal prognostic nutritional index to predict the outcome for colorectal cancer

BACKGROUND The controlling nutritional status(CONUT)score effectively reflects a patient’s nutritional status,which is closely related to cancer prognosis.This study invest-igated the relationship between the CONUT score and prognosis after radical surgery for colorectal cancer,and compared the predictive ability of the CONUT score with other indexes.AIM To analyze the predictive performance of the CONUT score for the survival rate of colorectal cancer patients who underwent potentially curative resection.METHODS This retrospective analysis included 217 patients with newly diagnosed colorectal.The CONUT score was calculated based on the serum albumin level,total lymphocyte count,and total cholesterol level.The cutoff value of the CONUT score for predicting prognosis was 4 according to the Youden Index by the receiver operating characteristic curve.The associations between the CONUT score and the prognosis were performed using Kaplan-Meier curves and Cox regression analysis.RESULTS Using the cutoff value of the CONUT score,patients were stratified into CONUT low(n=189)and CONUT high groups(n=28).The CONUT high group had worse overall survival(OS)(P=0.013)and relapse-free survival(RFS)(P=0.015).The predictive performance of CONUT was superior to the modified Glasgow prognostic score,the prognostic nutritional index,and the neutrophil-to-lymphocyte ratio.Meanwhile,the predictive performances of CONUT+tumor node metastasis(TNM)stage for 3-year OS[area under the receiver operating characteristics curve(AUC)=0.803]and 3-year RFS(AUC=0.752)were no less than skeletal muscle mass index(SMI)+TNM stage.The CONUT score was negatively correlated with SMI(P<0.01).CONCLUSION As a nutritional indicator,the CONUT score could predict long-term outcomes after radical surgery for colorectal cancer,and its predictive ability was superior to other indexes.The correlation between the CONUT score and skeletal muscle may be one of the factors that play a predictive role.

Retrospective Study Immune function status of postoperative patients with colon cancer for predicting liver metastasis

BACKGROUND Colon cancer(CC)has a high incidence rate.Radical resection is the main treatment method for CC;however,liver metastasis(LM)often occurs post-surgery.The liver contains both innate and adaptive immune cells that monitor and remove abnormal cells and pathogens.Before LM,tumor cells secrete cytokines and exosomes to adjust the immune microenvironment of the liver,thus forming an inhibitory immune microenvironment for colonization by circulating tumor cells.This indicates that the immune state of patients with CC plays a crucial role in the occurrence and progression of LM.AIM To observe and analyze the relationship between immune status and expression of tumor factors in patients with LM of CC,and to provide a scientific interven-tion method for promoting the patient prognosis.METHODS A retrospective analysis was performed.The baseline data of 100 patients with CC and 100 patients with CC who suffered from postoperative LM and were admitted to our hospital from May 2021 to May 2023 were included in the non-occurrence and occurrence groups,respectively.The immune status of the pa-tients and the expression of tumor factor-related indicators in the two groups were compared,and the predictive value of the indicators for postoperative LM in patients with CC was analyzed.RESULTS Compared with the non-occurrence group,the expression of serum carcinoem-bryonic antigen(CEA),CA19-9,CA242,CA72-4 and CA50 in patients in the occurrence group were significantly higher,while the expression of CD3+,CD4+,CD8+,natural killer(NK)and CD4+/CD25 in patients in the occurrence group were significantly lower(P<0.05).No significant difference was observed in other baseline data between groups(P>0.05).Multivariate logistic regression model analysis revealed that the expressions of CEA,CA19-9,CA242,CA72-4,CA50,CD3+,CD4+,CD8+,NK,and CD4+/CD25 were associated with the LM in patients with CC.High expressions of serum CEA,CA19-9,CA242,CA72-4 and CA50,and low expressions of CD3+,CD4+,CD8+,NK,and CD4+/CD25 in patients with CC were risk factors for LM(OR>1,P<0.05).The receiver operating characteristic curve showed that the area under curve for CEA,CA19-9,CA242,CA72-4,CA50,CD3+,CD4+,CD8+,NK,and CD4+/CD25 in the prediction of LM in patients with CC were all>0.80,with a high predictive value.CONCLUSION The expression of tumor factors and immune state-related indices in patients with CC is closely associated with the occurrence of LM.

Current Status of Mongolian Medicine Treatment for Breast Hyperplasia

Through literature and clinical research,the current status of Mongolian medicine treatment for breast hyperplasia is discussed,such as oral administration of Mongolian medicine for treatment,oral administration of Mongolian medicine combined with external application for treatment,combination of Mongolian medicine acupuncture therapy and oral administration of Mongolian medicine for treatment,integrated treatment of Mongolian and Western medicine,and combination therapy of Mongolian and traditional Chinese medicine,providing new ideas and choices for clinical research.

Optimization of nursing interventions for postoperative mental status recovery in patients with cerebral hemorrhage

BACKGROUND Hypertensive cerebral hemorrhage(HCH),the most common chronic diseases,has become a topic of global public health discussions.AIM To investigate the role of rehabilitative nursing interventions in optimizing the postoperative mental status recovery phase and to provide clinical value for future rehabilitation of patients with HCH.METHODS This randomized controlled study included 120 patients with cerebral HCH who were contained to our neurosurgery department between May 2021–May 2023 as the participants.The participants have randomly sampled and grouped into the observation and control groups.The observation group received the rehabilitation nursing model,whereas the control group have given conventional nursing.The conscious state of the patients was assessed at 7,14,21,and 30 d postoperatively.After one month of care,sleep quality,anxiety,and depression were compared between the two groups.Patient and family satisfaction were assessed using a nursing care model.RESULTS The results showed that the state of consciousness scores of the patients in both groups significantly increased(P<0.05)after surgical treatment.From the 14th day onwards,differences in the state of consciousness scores between the two groups of patients began to appear(P<0.05).After one month of care,the sleep quality,anxiety state,and depression state of patients were significantly better in the observation group than in the control group(P<0.05).Satisfaction with nursing care was higher in the observation group than in the control group(P<0.05).CONCLUSION The rehabilitation nursing model has a more complete system compared to conventional nursing,which can effectively improve the postoperative quality of life of patients with cerebral hemorrhage and improve the efficiency of mental state recovery;however,further analysis and research are needed to provide more scientific evidence.

Status Quo Bias-A Research on Its Applications and the Correlating Mechanism

After several former studies on the cognitive heuristics and correlating economical influences,the explanatory effectiveness of Status Quo Bias perspective is explained by multiple empirical scenarios.Hence,this essay will focus on three applications in which the Status Quo Bias perspective,correlating models,and research methods would provide insightful opinions.After reviewing the former attempts on the original model and early researchers’empirical examination on the Status Quo Bias,this essay will concentrate on Status Quo Bias and technology resistance among the public sector employees,Status Quo Bias and medical insurance outcomes,Status Quo Bias and shoppers’mobile website purchasing resistance respectively.For each application,research methodology will be explained and be integrated into the Status Quo Bias perspective through the research question.Through researching on these applications’methodology and main studies,discussing cognitive biases existing in the empirical scenarios,the present study could approach to the efficiency of the explanation from Status Quo Bias perspective.

Correlation between DKK-1 Level and Bone Density Status in Children on Maintenance Haemodialysis

Background: Renal osteodystrophy (ROD) is a bone disorder resulting from chronic kidney disease (CKD) and related metabolic diseases. Dickkopf-related protein-1 (DKK-1) is critical in regulating bone biology. This study aimed to evaluate the serum DKK-1 level as a bone marker in children with CKD who undergo regular hemodialysis (HD). Subjects and Methods: This case-control study involved 40 children with CKD on HD and 40 healthy children as controls. The study measured serum DKK-1 levels and performed a dual-energy X-ray absorptiometry scan (DEXA) in line with routine laboratory investigations. Results: There was a significant increase in the serum level of DKK-1 in the patient group compared to the control group. The DKK-1 levels were 2540.65 (2215.4 - 2909.2) pg/ml and 1110.45 (885.45 - 1527.65) pg/ml, respectively, with a p-value of less than 0.001. In the hemodialysis group, 25 patients (62.5%) had low bone mineral density (BMD) with a Z-score of under -2.0. Eighteen of these patients had low BMD in both the neck of the femur and lumbar spines. Additionally, there was a significant increase in serum DKK-1 level in patients with low BMD (2567.35 (2303.8 - 3108.1) pg/ml) compared to patients with normal BMD (2454 (1859 - 2820) pg/ml) (p = 0.041). There was also a significant positive correlation between DKK1 level and phosphorus, alkaline phosphatase, and Parathormone serum levels. In conclusion, the study indicates a clear correlation between DKK-1 and BMD in children undergoing maintenance hemodialysis. DKK1 is a promising biomarker for CKD-MBD.

Growth, Population Parameters and Stock Status of Sarotherodon galilaeus in Samandeni Reservoir, Burkina Faso

Mango tilapia, Sarotherodon galilaeus is one of the most caught fish species in the Samandeni multi-species fishing sites of which, few data on its biology and exploitation are available. The study aimed to Assess the stock status of S. galilaeus. Sampling was conducted from March, 2021 to February 2022 based on commercial fish catches to analyze growth parameters, first sexual maturity size and harvest status of the stock. A total of 572 specimens including 297 females and 275 males were examined. The stock assessment was performed by using the Length based Bayesian method of Biomass (LBB) and that of growth by the ELEFAN method. The growth parameters showed a seasonality of growth and females appeared to grow faster than males. On the other hand, males had a greater asymptotic length than females. Results on the estimated length of fish at first maturity showed that females firstly reached the maturity compared to males. The relative biomass (B/B0) estimated for the stock was higher than the relative biomass that produces maximum sustainable yield (BMSY/B0) indicating healthy biomass. In addition, the length at first sexual maturity was less than the length at the first catch, indicating the absence of overfishing of growth. In addition, extending the study to the various stocks of the reservoir would be important for the sustainable management of the Samandeni high economic fishing area.

Investigation of 25-Hydroxy Vitamin D Status and Related Factors in Hospitalised Patients with Type 2 Diabetes Mellitus

Objective: To investigate the distribution of 25-hydroxy Vitamin D level status in type 2 diabetes mellitus inpatients, as well as the differences in general conditions and clinical indicators in patients with different Vitamin D status. Methods: Retrospective analysis of 250 admitted type 2 diabetes inpatients admitted to the endocrinology department of qinghai provincial hospital of traditional chinese medicine from september 2022 to december 2023, collated and analysed the general data and laboratory indicators of the patient cases, and applied spss26.0 to process and analyse the data and explore the differences in the general conditions and commonly used clinical nutritional indicators of type 2 diabetes in patients with different 25-hydroxyVitamin D levels. The differences between the different 25-hydroxy Vitamin D levels in type 2 diabetes mellitus patients. Results: 1) A total of 250 inpatients with type 2 diabetes mellitus were included in this study, of which 56 cases (22.4%) were patients with 25 hydroxyvitamin D deficiency [25(OH)D P P P P > 0.05). 3) The distribution of some laboratory indexes among the three groups of patients was differentiated, with the average level of glycated haemoglobin in the lack group being significantly higher than that of the remaining two groups, the average level of albumin being significantly lower than that of the remaining two groups, and the average level of haemoglobin being significantly lower than that of the good group (P P > 0.05). Conclusion: The 25(OH)D level of type 2 diabetes mellitus inpatients is not optimistic. In clinical diagnosis and treatment, we should pay attention to the changes in 25 hydroxyvitamin D levels and other nutritional indexes of patients with type 2 diabetes mellitus, and focus on the control of blood glucose levels and timely supplementation of vitamins, proteins, and lipids, in order to improve the patients’ physical status, reduce the incidence of complications, and improve the clinical efficacy and the patients’ quality of life.

Research on Track Fastener Service Status Detection Based on Improved Yolov4 Model

As an important part of railway lines, the healthy service status of track fasteners was very important to ensure the safety of trains. The application of deep learning algorithms was becoming an important method to realize its state detection. However, there was often a deficiency that the detection accuracy and calculation speed of model were difficult to balance, when the traditional deep learning model is used to detect the service state of track fasteners. Targeting this issue, an improved Yolov4 model for detecting the service status of track fasteners was proposed. Firstly, the Mixup data augmentation technology was introduced into Yolov4 model to enhance the generalization ability of model. Secondly, the MobileNet-V2 lightweight network was employed in lieu of the CSPDarknet53 network as the backbone, thereby reducing the number of algorithm parameters and improving the model’s computational efficiency. Finally, the SE attention mechanism was incorporated to boost the importance of rail fastener identification by emphasizing relevant image features, ensuring that the network’s focus was primarily on the fasteners being inspected. The algorithm achieved both high precision and high speed operation of the rail fastener service state detection, while realizing the lightweight of model. The experimental results revealed that, the MAP value of the rail fastener service state detection algorithm based on the improved Yolov4 model reaches 83.2%, which is 2.83% higher than that of the traditional Yolov4 model, and the calculation speed was improved by 67.39%. Compared with the traditional Yolov4 model, the proposed method achieved the collaborative optimization of detection accuracy and calculation speed.