Prevalence of Helicobacter pylori infection in Chinese military personnel:A cross-sectional,multicenter-based study

BACKGROUND Helicobacter pylori(H.pylori)infection is a prevalent disease encountered in military internal medicine and recognized as the main cause of dyspepsia,gastritis,and peptic ulcer,which are common diseases in military personnel.Current guidelines in China state all patients with evidence of active infection with H.pylori are offered treatment.However,the prevalence of H.pylori infection and its regional distribution in the military population remain unclear,which hinders effective prevention and treatment strategies.Understanding the prevalence of H.pylori infection in the military population will aid in the development of customized strategies to better manage this infectious disease.AIM To investigate the prevalence of H.pylori infection in the Chinese military population in different geographic areas.METHODS This multicenter,retrospective study included 22421 individuals from five tertiary hospitals located in north,east,southwest,and northwest cities of China.H.pylori infection was identified using the urea breath test,which had been performed between January 2020 and December 2021.RESULTS Of the 22421 military service members,7416(33.1%)were urea breath test-positive.The highest prevalence of H.pylori was in the 30-39 years age group for military personnel,with an infection rate of 34.9%.The majority of infected subjects were younger than 40-years-old,accounting for 70.4%of the infected population.The individuals serviced in Lanzhou and Chengdu showed a higher infection prevalence than those in Beijing,Nanjing,and Guangzhou,with prevalence rates of 44.3%,37.9%,29.0%,31.1%,and 32.3%,respectively.CONCLUSION H.pylori infection remains a common infectious disease among military personnel in China and has a relatively high prevalence rate in northwest China.

Improved Scatter Search Algorithm for Multi-skilled Personnel Scheduling of Ship Block Painting

This paper focuses on the optimization method for multi-skilled painting personnel scheduling.The budget working time analysis is carried out considering the influence of operating area,difficulty of spraying area,multi-skilled workers,and worker’s efficiency,then a mathematical model is established to minimize the completion time. The constraints of task priority,paint preparation,pump management,and neighbor avoidance in the ship block painting production are considered. Based on this model,an improved scatter search(ISS)algorithm is designed,and the hybrid approximate dynamic programming(ADP)algorithm is used to improve search efficiency. In addition,the two solution combination methods of path-relinking and task sequence combination are used to enhance the search breadth and depth. The numerical experimental results show that ISS has a significant advantage in solving efficiency compared with the solver in small scale instances;Compared with the scatter search algorithm and genetic algorithm,ISS can stably improve the solution quality. Verified by the production example,ISS effectively shortens the total completion time of the production,which is suitable for scheduling problems in the actual painting production of the shipyard.

Analysis of the Digital Skill Gap of Agricultural Extension Personnel in South-East, Nigeria

The study analysed the digital skill gap of agricultural extension personnel on the use of digital technologies for extension services delivery in South-East, Nigeria. The specific objectives were to describe the socioeconomic characteristics of agricultural extension personnel in South-East Nigeria and identify the digital skill gaps among agricultural extension personnel in the area of study. Purposive sampling technique was used to select 364 Agricultural Extension personnel for the study. Data were collected through the use of structured questionnaire and were analysed using simple descriptive statistical tools such as percentages, mean score, and standard deviation. Findings indicated that most of the personnel were male (57.8%), within the age bracket of 38 - 47 years (62.9%), had B.Sc./HND as their highest educational qualification (74.7%), married (86.3%), and had a household size of 6 - 10 Persons (57.7%). It was further revealed that the majority (70.1%) were members of professional organization, earned a monthly income of N50,001.00 - N100,000.00 (65.7%), had a work experience of 11 - 15 years (51.1%), and owned a smartphone/ iPad/laptop (91.5%). Findings further indicated that they had moderate skill gap in Basic Computer skills (Mean = 4.32), and digital communication and collaboration skills (Mean = 4.26). Findings also showed that they had a high skill gap in digital technical skills (Mean = 2.46), digital data analysis skills (Mean = 2.09), digital content creation skills (Mean = 2.43), digital ethical skills (Mean = 2.79), multimedia production skills (Mean = 2.81), and video library management skills (Mean = 2.39). The study concluded that though there exists a high digital skill gap among agricultural extension personnel in South-East, Nigeria, their socioeconomic characteristics are capable of supporting the implementation of digital extension services in the area. The study recommended that the management of Agricultural Development Programs in South-East, Nigeria, should provide digital training for extension personnel to close the digital skill gap that currently exists among the personnel.

Comparative Study of the Socioeconomic Characteristics and Digital Literacy Level of Agricultural Extension Personnel in Imo and Ebonyi States, South-East, Nigeria

The study comparatively analysed the socioeconomic characteristics and digital literacy level of Agricultural Extension personnel (AEP) in Ebonyi and Imo States, South-East, Nigeria. The specific objectives were to describe the socioeconomic characteristics of agricultural extension personnel in Ebonyi and Imo States, and to ascertain the digital literacy level of AEP in the studied states. Purposive sampling technique was used to select 312 Agricultural Extension personnel (132 from Ebonyi State Agricultural Development Program and 180 from Imo State Agricultural Development Program) for the study. Data were collected through the use of validated and structured questionnaire, and administered through the help of well-trained enumerators. Data were analysed using simple descriptive statistical tools such as percentages mean score, standard deviation and weighted mean. Findings indicated that they were more male in the both States (55.3% and 57.8%) for Ebonyi and Imo State respectively and that the average age of AEP in Ebonyi and Imo States were 44.7 years and 49.2 years respectively. It was further revealed that the majority (77.3% and 82.8%) had B.Sc./HND as their highest academic qualifications, belonged to professional organisations (62.1% and 75%), and were earning an average monthly income of N58,798 and N62,648 for Ebonyi and Imo State respectively. Also, it was revealed that their mean years of service were 12.4 years and 13.4 years for Ebonyi and Imo State respectively. Almost all of them (87.9% and 95.0%) own a smartphone, had access to the internet (80.3% and 90.0%), but do not own a laptop/ipad (82.6% and 72.8%) for Ebon-yi and Imo State respectively. Results further revealed that Agricultural extension personnel in both Ebonyi and Imo State respectively had low digital literacy level ( = 2.41 and 2.32). The study concluded that AEP in Ebonyi and Imo State respectively had similar socioeconomic characteristics and low level of digital literacy. The study recommended that the management of ADPs in both Ebonyi and Imo State should ensure the training of AEP in digital skills to enhance their digital literacy level to enable them use digital technologies in their work.

Nocturnal sentry duty and cardiometabolic characteristics in armed forces personnel

BACKGROUND Sleep deprivation can lead to increased body weight and blood pressure(BP),but the latent effects of partial sleep deprivation related to required night sentry duties within a short-term period on cardiometabolic characteristic changes in military personnel are unclear.AIM To investigate the association between night sentry duty frequency in the past 3 months and cardiometabolic characteristics in armed forces personnel.METHODS A total of 867 armed forces personnel who were aged 18-39 years and did not take any antihypertensive medications in Taiwan in 2020 were included.The frequency of night sentry duty was self-reported via a questionnaire(average number of night sentry shifts per month for the past 3 months).Hemodynamic status was assessed via the resting BP and pulse rate(PR).Cardiometabolic risk factors were defined according to the International Diabetes Federation criteria.Multivariable linear regression analyses of the associations between night sentry duties and PR,BP,and other metabolic syndrome(MetS)marker levels were performed,with adjustments for age,sex,substance use,body mass index and aerobic fitness.Multiple logistic regression analysis was carried out to determine the associations between night sentry duties and the prevalence of each MetS feature.

Detection Algorithm of Laboratory Personnel Irregularities Based on Improved YOLOv7

Due to the complex environment of the university laboratory,personnel flow intensive,personnel irregular behavior is easy to cause security risks.Monitoring using mainstream detection algorithms suffers from low detection accuracy and slow speed.Therefore,the current management of personnel behavior mainly relies on institutional constraints,education and training,on-site supervision,etc.,which is time-consuming and ineffective.Given the above situation,this paper proposes an improved You Only Look Once version 7(YOLOv7)to achieve the purpose of quickly detecting irregular behaviors of laboratory personnel while ensuring high detection accuracy.First,to better capture the shape features of the target,deformable convolutional networks(DCN)is used in the backbone part of the model to replace the traditional convolution to improve the detection accuracy and speed.Second,to enhance the extraction of important features and suppress useless features,this paper proposes a new convolutional block attention module_efficient channel attention(CBAM_E)for embedding the neck network to improve the model’s ability to extract features from complex scenes.Finally,to reduce the influence of angle factor and bounding box regression accuracy,this paper proposes a newα-SCYLLA intersection over union(α-SIoU)instead of the complete intersection over union(CIoU),which improves the regression accuracy while increasing the convergence speed.Comparison experiments on public and homemade datasets show that the improved algorithm outperforms the original algorithm in all evaluation indexes,with an increase of 2.92%in the precision rate,4.14%in the recall rate,0.0356 in the weighted harmonic mean,3.60%in the mAP@0.5 value,and a reduction in the number of parameters and complexity.Compared with the mainstream algorithm,the improved algorithm has higher detection accuracy,faster convergence speed,and better actual recognition effect,indicating the effectiveness of the improved algorithm in this paper and its potential for practical application in laboratory scenarios.

Research on the Improvement of Incentive Mechanism for Pharmaceutical Sales Personnel - Taking Company A as an Example

Objective To analyze the improvement of the incentive mechanism of sales personnel in pharmaceutical company A,and to promote the smooth operation and further development of the company in a long term.Methods Compensation incentive,performance appraisal,welfare benefit,training incentive,promotion motivation and enterprise cultural inspiration were explored through questionnaires,telephone interviews and in-person interviews.Results and Conclusion This company’s incentive mechanism has problems in two aspects:Material incentives and spiritual incentives.As to the company’s characteristics and strategic development,the optimization countermeasures of incentive mechanism are proposed from the following three aspects:constructing a reasonable incentive system,establishing an efficient spiritual incentive mechanism,and implementing the dynamic incentive and differentiated incentive simultaneously.

基于深度学习的教室照明系统研究与设计

针对传统传感器教室照明控制方式灵敏度差以及教室人员检测算法存在错检、漏检的问题,为了充分且合理利用教室照明设备资源,提出一种基于改进YOLOv5和区域定位的教室照明系统,该系统判定出教室人员所处的子区域,并生成照明设备的控制信息。通过在自制数据集训练、测试,并搭建LED点阵模拟教室照明,结果表明,YOLOv5的精度达到93%,召回率达到96%,可以准确实时地控制教室中的照明设备,系统具有更好的照明便捷性,更节能。

乡村振兴背景下乡镇企业会计人员业务素质提升研究

近年来,乡村振兴逐步成为中国发展新战略。乡镇企业对于提高农村地区居民收入、促进就业、助力乡村振兴具有积极作用。乡镇企业的发展离不开会计人员的参与。本文立足乡镇企业,通过研究会计人员业务素质现状及影响因素,为提升会计人员业务素质做出建议。对于改善乡镇企业会计工作,提高乡村经济活力,发挥国家扶持农村政策,助力乡村振兴战略实施具有积极意义。

军事飞行人员C-TIRADS 4类甲状腺结节的超声声像图及分类影响因素分析

目的分析军事飞行人员C-TIRADS 4类甲状腺结节的超声声像图及临床资料,探究飞行人员C-TIRADS 4类甲状腺结节发病特征及分类影响因素。方法选取2018年9月至2024年8月某院年度体检中检出C-TIRADS 4类甲状腺结节的67例军事飞行人员作为研究对象,回顾性分析其甲状腺结节超声声像图特点,比较不同年龄、飞行时间、机型及血脂、血尿酸对甲状腺结节C-TIRADS分类的影响。结果67例C-TIRADS 4类甲状腺结节中,4A类40例(59.7%)、4B类20例(29.9%)、4C类7例(10.4%)。超声声像图特点表现为以低回声、直径小于1 cm为主。年龄、飞行时间、驾驶机型以及血脂、血尿酸均不会影响甲状腺结节的分类(χ_(年龄)^(2)=1.628,P=0.848;χ_(飞行时间)^(2)=2.699,P=0.606;χ_(机型)^(2)=8.303,P=0.056;χ_(血脂)^(2)=3.885,P=0.127;χ_(尿酸)^(2)=2.475,P=0.293)。结论本研究中,军事飞行人员甲状腺C-TIRADS 4类甲状腺结节以4A类为主,其超声声像图主要以低回声、直径小于1 cm为特征,提示在为飞行人员行甲状腺超声检查时应仔细检查,精确评估甲状腺结节恶性风险,健全动态随访机制,完善临床管理路径,为恶性高风险甲状腺结节的管理提供科学依据。

民办高校应用型绿色建筑技能人才培养研究

当前国家政策统筹调整产业结构,随着协同推进生态减污、生态保护的美丽中国建设中,伴随建筑产业绿色化、智能化、工业化的发展趋势,中国建造的转型升级需要培养大量新型建筑专业人才。民办高校作为行业人才需求的蓄水池,应以行业变化趋势为依据,以企业人才新需求为基点,重构人才培养体系,一方面要强化新知识、打牢新基础;另一方面建立强化实践育人的人才培养机制。

通风方式对非对称隧道火灾烟气蔓延的影响

为研究非对称隧道内不同通风方式对火灾烟气蔓延的影响,利用PyroSim数值模拟软件构建非对称隧道模型,对隧道内烟气流速、温度分布和烟气运动进行研究,并分析了不同风速对人员疏散的影响。结果表明:上坡隧道内诱导气流与补充气流存在竞争关系,随着坡度差增大,烟气流速增加,烟气从上坡隧道排出,新鲜空气从平坡段隧道进入补充燃烧消耗;自然通风下隧道充满烟气,在纵向风速1.5 m/s下隧道环境得以改善;随着风速继续增大,隧道烟气流速紊乱,烟气层被扰乱。在实际非对称隧道中,建议火灾初期以1.5 m/s的纵向风速进行通风,待人员疏散后再增加风速加速排烟。

Relationship between acute stress and sleep disorder in grass-root military personnel:Mediating effect of social support

Background: To explore the relationship between acute stress, social support and sleep disorder in grass-root military personnel, and construct the relational model through structural equation modeling. Methods: A total of 2,411 grass-root military personnel were randomly selected by cluster sampling, and administered the Chinese Military Personnel Sleep Disorder Scale, Military Acute Stress Scale and Social Support Rating Scale.Results: The total score of acute stress scale was positively correlated with the total score and factor scores of sleep disorder scale(r=0.209~0.465, P【0.01); The total score of social support scale was positively correlated with the total score of acute stress scale and the total score and factor scores of sleep disorder scale(r=0.356~0.537, P【0.01). The analysis of mediating effects showed that lack of social support partially mediated between acute stress and the factors of sleep disorder. The analysis of structural equation model showed that acute stress not only had a direct effect on sleep disorder(the path coefficient was 0.29, P=0.000), but also on lack of social support(the path coefficient was 0.39, P=0.000); lack of social support had a direct effect on sleep disorder(the path coefficient was 0.48, P=0.000).Conclusions: Acute stress and lack of social support are two significant factors of sleep disorder in grass-root military personnel. Well-established social support could alleviate sleep disorder induced by acute stress. Lack of social support was a partial mediator between acute stress and sleep disorder.

地方性应用型理工类高校中药学专业建设——以金华理工学院为例

随着地方中医药事业的快速发展,培养一批服务于地方经济,且能够从事中药种植、鉴定、炮制与加工、制剂及临床合理用药等工作的中药学实用型人才迫在眉睫。文章针对中药学专业建设存在的一些问题,结合金华理工学院筹建中药学专业的经验,探讨了地方性应用型理工类高校中药学专业建设思路,提出了应坚持中医学特色、突出地方性特色、突出应用型特色、发挥理工类学科对中药学专业的辐射和带动作用四个建议,以期促进地方性应用型理工类本科院校中药学专业的高水平建设。

Prospective study of the prevalence and co-morbidities of obstructive sleep apnea in active-duty army personnel in the three southernmost provinces of Thailand using questionnaire screening

Background: It is crucial for the army to know the prevalence of obstructive sleep apnea(OSA) syndrome in activeduty army personnel. Little information has been reported on the prevalence of OSA and clinical features in activeduty army personnel. This study was aimed to estimate the prevalence of snoring and risk of developing OSA in activeduty army personnel in Thailand and to identify the co-morbidities of OSA. In total, 1107 participants who were aged20–60 years and were deployed to the three southernmost provinces of Thailand were enrolled. All the participants completed the Phramongkutklao(PMK) Hospital OSA Questionnaire that was modified and validated from the Berlin Questionnaire and underwent physical examination. The participants were 1107 active-duty army personnel in the three southernmost provinces of Thailand, both males and females, aged 20–60 years.Methods: The PMK OSA Questionnaire was used to assess the risk of OSA together with interviewing for snoring,fatigue, falling asleep and day-time sleepiness. Physical examination of the neck, chest and hip circumference,and height was performed. Information concerning physical training, co-morbid diseases, smoking and alcoholic consumption was collected.Results: The prevalence of snoring was 58.5, and 4.8% met the PMK OSA Questionnaire criteria, thus indicating a high risk of OSA. The information obtained indicated that laryngopharyngeal reflux(LPR), current smoking and alcoholic consumption were significantly higher in the high-risk OSA group.Conclusions: Early detection and treatment of OSA in active-duty army personnel are imperative. Physical examination and polysomnography can be used to reveal the high-risk group. High body mess index(BMI), laryngopharyngeal reflux, current smoking and alcoholic consumption are modifiable factors for OSA and are avoidable. A policy to decrease the BMI and risk of LPR, as well as to stop smoking and alcoholic consumption, should be applied.

CDIO Based Optimization of Urban Planning Personnel Training Courses in Forestry Universities

On the basis of analyzing existing course system of urban planning discipline,this paper came up with a framework for optimization of urban planning personnel training mode and course system,oriented towards training practical engineering personnel and based on CDIO engineering education and teaching platform. Then it made empirical study on setting of the urban planning discipline in Northeast Forestry University. It proposed changing the original "3 + 2" course system,exploring and optimizing the course system,improving teaching effect of urban planning personnel training courses,and raising planning and design ability of students.

Post-traumatic stress disorder among paramedic and hospital emergency personnel in south-east Iran

BACKGROUND:Paramedic and emergency personnel may encounter directly many events that threat their own wellbeing during their daily work.This study was conducted to examine the prevalence rate of post-traumatic stress disorder(PTSD) among two groups of paramedic and emergency personnel in south-east Iran.METHODS:The study employed a descriptive design and was conducted in four hospital emergency wards and a pre-hospital emergency base supervised by Kerman Medical University.Using Mississippi PTSD,we assessed the prevalence rate in paramedics(n=150) and emergency personnel(n=250).RESULTS:The two groups had different levels of education,marital status,experience of traumatic events,work hours per month,and gender.Most(94%) of paramedic and hospital emergency personnel reported moderate PTSD.The two groups had significant different levels of PTSD in all subscale.CONCLUSION:The study suggests that health care managers should organize systematic and dynamic policies and procedures in dealing with PTSD to assist both groups of personnel.

Novel design of a personnel safety system for Hefei Light Source-Ⅱ

The Hefei Light Source-Ⅱ(HLS-Ⅱ) is a vacuum ultraviolet synchrotron light source. The personnel safety system (PSS), which is a personnel access control system, is a crucial part of the HLS-Ⅱ, as it protects the staff and users at HLS-Ⅱfrom radiation damages. The prior version of HLS-Ⅱ PSS was based on an access control system called SiPass. This lacked the personnel management function. Meanwhile, as the prior PSS is a turn-key system, it was not effective for sharing information. To overcome these drawbacks, the novel design of PSS for HLS-Ⅱ is proposed based on the Siemens redundant programmable logic controller under the Experimental Physics and Industrial Control System. The proposed PSS consists of a safety interlock system, access control system, and a radiation monitoring system. The safety interlock system is used to define the interlock logic. The access control system is designed to restrict the access of staff and users at HLS-Ⅱ, and to provide a personnel management function. The radiation monitoring system is used to monitor the radiation dose rate in both the light source and the surrounding areas. This paper details the architecture and the specific design of the novel PSS. The off-line test results demonstrate that the proposed system has achieved the design objectives.

In-pit coal mine personnel uniqueness detection technology based on personnel positioning and face recognition

Since the coal mine in-pit personnel positioning system neither can effectively achieve the function to detect the uniqueness of in-pit coal-mine personnel nor can identify and eliminate violations in attendance management such as multiple cards for one person, and swiping one's cards by others in China at present. Therefore, the research introduces a uniqueness detection system and method for in-pit coal-mine personnel integrated into the in-pit coal mine personnel positioning system, establishing a system mode based on face recognition + recognition of personnel positioning card + release by automatic detection. Aiming at the facts that the in-pit personnel are wearing helmets and faces are prone to be stained during the face recognition, the study proposes the ideas that pre-process face images using the 2D-wavelet-transformation-based Mallat algorithm and extracts three face features: miner light, eyes and mouths, using the generalized symmetry transformation-based algorithm. This research carried out test with 40 clean face images with no helmets and 40 lightly-stained face images, and then compared with results with the one using the face feature extraction method based on grey-scale transformation and edge detection. The results show that the method described in the paper can detect accurately face features in the above-mentioned two cases, and the accuracy to detect face features is 97.5% in the case of wearing helmets and lightly-stained faces.

Needs assessment and expectations regarding evidence-based practice knowledge acquisition and training activities:A cross-sectional study of healthcare personnel in China

Objectives Evidence-based healthcare contributes to the improvement of healthcare quality and informs healthcare decision-making.The provision of timely high-quality evidence is always required to fulfil the ever-changing needs and expectations of healthcare personnel.This study aimed to assess the needs and expectations of healthcare personnel regarding evidence-based healthcare in China.Methods We conducted a cross-sectional online survey from December 8,2020 to January 15,2021 involving 901 participants across China.Healthcare providers,policy makers,researchers and educators,and full-time postgraduate medical and nursing students working/living in China were eligible to participate.A self-developed questionnaire was used.Results Participants generally agreed that health-related research evidence was beneficial.Evidence-based resources,such as Cochrane resources,were only known or used by about half of the respondents due to difficulties related to availability and accessibility.Various types of resources,topics of evidence,and themes of workshops were of particular interest to most of the participants.Conclusions The dissemination and translation of evidence,provision of more support in evidence availability,offering evidence-based training,and determining the most in-demand research areas have been identified as priority areas of work which could fulfil the needs and expectations of healthcare personnel in China.