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.

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

This comparative review explores the dynamic and evolving landscape of artificial intelligence(AI)-powered innovations within high-tech research and development(R&D).It delves into both theoreticalmodels and practical applications across a broad range of industries,including biotechnology,automotive,aerospace,and telecom-munications.By examining critical advancements in AI algorithms,machine learning,deep learning models,simulations,and predictive analytics,the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies.The review integrates both qualitative and quantitative data derived from academic studies,industry reports,and real-world case studies to showcase the tangible impacts of AI on product innovation,process optimization,and strategic decision-making.Notably,it discusses the challenges of integrating AI within complex industrial systems,such as ethical concerns,technical limitations,and the need for regulatory oversight.The findings reveal a mixed landscape where AI has significantly accelerated R&D processes,reduced costs,and enabled more precise simulations and predictions,but also highlighted gaps in knowledge transfer,skills adaptation,and cross-industry standardization.By bridging the gap between AI theory and practice,the review offers insights into the effectiveness,successes,and obstacles faced by organizations as they implement AI-driven solutions.Concluding with a forward-looking perspective,the review identifies emerging trends,future challenges,and promising opportunities inAI-poweredR&D,such as the rise of autonomous systems,AI-driven drug discovery,and sustainable energy solutions.It offers a holistic understanding of how AI is shaping the future of technological innovation and provides actionable insights for researchers,engineers,and policymakers involved in high-tech Research and Development(R&D).

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.

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.

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.

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.

Spatio-temporal evolution of the coordinated development of high-tech industry agglomeration and resource-environmental carrying capacity in the Yellow River Basin

Under the background of new infrastructure,the Yellow River Basin’s superior growth cannot be separated originating with the synergistic effect of scientific and technological inventiveness and ecological civilization construction.In light of the coupling coordination analysis of the coordination effect of provincial high-tech industry agglomeration and resource carrying capacity in the Yellow River Basin from 2009 to 2021,The evolution of the geographical and temporal pattern of development was investigated using the Moran index and kernel density estimation.The results show that the agglomeration of high-tech industries in the Yellow River Basin presents a development trend of seek improvement in stability,and there is a good coupling and coordination throughout the progression of scientific and technological innovation and the loading capacity of the resource,from the viewpoint of a time series.From the perspective of spatial pattern distribution,the whole basin aims at the lower reaches,accelerates the optimization of digital industry and promotes Yellow River Basin development of superior quality through innovation support and increase of input,and based on policy guidance.

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.

平等权保障视角下灵活就业人员社会保险问题研究

平等权作为公民的基本权利,同样适用于社会保险给付领域。无论从社会保障权的实现还是社会保险制度的法理基础来看,现行制度排斥灵活就业人员进入工伤保险和失业保险体系的做法均违反平等权保障要求;灵活就业人员在职工基本养老保险和基本医疗保险中的差别待遇,既不符合社会保险的属性,亦无上位法依据,且与国家的大政方针相悖。因此,亟须调整现行职工社会保险制度,将灵活就业人员纳入工伤保险体系;规定其享受职工基本养老保险的年龄与职工相同,建立“多缴费、长缴费”的保费与待遇挂钩激励机制;废除灵活就业人员享受职工基本医保待遇等待期的相关规定;逐步建立与其就业特点相适应的失业保障制度,促进多种灵活就业方式健康发展。

平台灵活就业人员劳动权益保护的立法困境与对策

以人力资源和社会保障部颁布的规范性文件为代表,中国关于平台灵活就业人员劳动权益保护的立法取得了重要的成就,但也存在着程序重于实体、形式重于实质、立法重点与实践需要有所偏离等困境。应以实质公平为理念,促进平台与灵活就业人员的利益平衡,在尊重平台组织管理权力的基础上激励其履行社会责任;合理规制平台的利益分配权和劳动规则制定权,强化平台利益分配和规则制定的公平性;完善社会保险、职业伤害保障和纠纷解决领域的公共产品供给。

Strategic equilibrium price analysis and numerical simulation of preponderant high-tech metal mineral resources

Based on exploitation compensation value system of preponderant high-tech metal mineral resources and distortion of pricing mechanism, social utility function was constructed to modify decision utility function of developers, and was extended to Stackelberg production decision model of preponderant high-tech metal mineral resources development. Analyzing the influences on market monopoly, output and price decision-making exerted by altruistic preferences, inequity aversion and sequential reciprocity fairness belief equilibrium, game fairness equilibrium which is significant in experimental economics can be obtained and verified by numerical simulation. In process of strategic pricing, method that uses the variation of producer surplus to measure strategic value from psychological preferences was proposed for the first time and technical support to improve exploitation compensation value system of preponderant metal mineral resources was available.

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。

论英国建筑技术美学谱系中传统与新统的博弈—以High-Tech建筑技术美学为例

传统与新统的博弈贯穿英国建筑技术美学谱系二百余年的发展历程。本文以High-Tech建筑技术美学为例,以其角色转换为切入点,对英国建筑技术美学谱系发展过程中普遍存在的演进规律加以研究,得出传统与新统的博弈既构成英国建筑技术美学谱系发展的基本语言又是其演进主要动力的结论,并为中国的建筑技术美学研究提供相关借鉴和思考。

不同学历层次营养专业人才就业状况调查及分析

目的调查和分析不同学历层次营养专业人才就业情况,为我国高层次营养人才培养和发展提供参考依据。方法采用问卷星在线平台设计问卷,并在各届毕业生班级群发放,调查上海交通大学医学院2008—2020届食品卫生与营养学专业毕业生的就业情况,包括基本信息、毕业后的就业情况和现工作情况等。结果不同学历营养专业人才就业去向有显著性差异(P<0.05),本科生主要就业单位是医院和卫生系统事业单位,硕士研究生主要就业单位是营养相关企业,而博士研究生主要是高校/科研机构。不同学历的就业地区分布有显著性差异(P<0.05),本科生的主要就业地区是上海,硕士研究生主要就业地区是上海和国外,博士研究生主要就业地区是国外和上海。研究生的就业满意度高于本科生(P<0.05)。结论营养专业人才队伍的学历有待进一步提高,鼓励营养专业人才到祖国和人民需要的地方,“双一流”院校急需探索建立“本研一体”营养人才培养体系。

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。

基于时空双流的矿井人员求救动作识别

当矿井人员遇险通过动作发出求救信号时,救援系统若能及时准确识别矿井人员求救动作,则能快速响应,实施救援,从而避免人员伤亡事故发生或降低事故严重程度。研究了煤矿井下视频中人员求救动作识别问题,提出了一种特征通道注意力及多空间注意力的时空双流动作识别解决方案,该方案的特点是融合了特征通道信息的差异性与空间中多个运动显著区域的特征,实验验证该方案的求救动作识别准确率达92.8%。

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。