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.

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.

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.

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.

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.

新医科背景下高等院校本研贯通人才培养模式探索与思考

本研贯通教育是一种致力于构建本科生与研究生之间的紧密联系,全面提升其学术水平和竞争力的创新教育模式。该模式旨在不断优化改进教育体制及教学方法、强化师资团队建设、注重学生个性化培养与管理、促进国际交流与合作、提升教育质量,对实现教育教学的高质量发展和高端技术人才的培养意义重大。本研贯通人才培养模式适应我国社会经济发展需求,在推动高等教育多样化与国际化发展中具有广阔前景和巨大潜力,有望成为我国高等教育的重要发展方向之一。然而,在实施过程中,本研贯通人才培养模式尚存制度障碍和实施难题,需通过持续完善与改进以实现其理念与目标。

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。

新时代科教融合背景下中医药院校人才培养的趋势及探索

科教融合理念是新时代高等教育的核心育人理念,是实现创新人才协同培养的现代化高等教育形式之一。当前,我国中医药领域急需大批高质量创新型人才,中医药院校还需前瞻布局、系统谋划,加快建设高层次中医药人才队伍,深化中医药人才发展体制机制改革,通过解决人才匮乏这一关键问题,引领并带动中医药事业实现高质量发展的全局性跃升。结合辽宁中医药大学实际情况,以促进中医药传承发展为导向,秉承科教融合理念,面向未来中医药人才培养的新趋势,探索科教协同育人体制机制,深入推进科教融合。在新理念、新高度下,以新举措不断完善符合中医药特点的人才培养模式,为培养更多优秀的中医药人才贡献力量。

新工科背景下土木类本硕博一体化人才培养路径研究

在新工科建设的浪潮中,许多大学还没有对“新工程”的概念形成清晰的认识。在这种背景下,传统的以学科为中心的教学模式已不能适应新时期工程人才培养的需要。因此,迫切需要对人才培养模式进行根本性改革。但目前,“新工程”建设仍处于探索和尝试的初步阶段,各高校如何改革人才培养模式,还没有统一的指导原则和标准。针对这一现状,深入分析了在新工科背景下土木类本硕博一体化人才培养模式的必要性。讨论了这种模式的核心特征及其实施路径,并为高校提供了一个系统的改革方案。同时,还全面分析了土木类本硕博一体化人才培养模式面临的主要困难和挑战。

“双碳”战略下煤炭高校多学科交叉人才培养——以工程管理专业为例

为适应国家绿色战略对人才需求的变化,煤炭高校应及时调整教育模式和培养理念,努力实现人才供给侧与产业需求侧的有机结合。该文依托国家一流本科专业建设点——河南理工大学工程管理专业,从培养目标设定、课程体系构建和达成度评价3个方面,凝练“两强、两重、两融合”的专业培养特色,构建“两平台、四模块、五融合”的跨学科交叉课程体系,提出培养目标达成评价和毕业要求达成评价。以2022届毕业生为例,综合课程及问卷达成结果进行应用效果分析。通过撬动专业的招生、培养、就业及评价一体化通道,旨在优化课程体系构建、完善人才培养模式。

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。

复合材料专业英语课程思政建设探索

专业英语是材料类本科生重要的理论与实践相结合的必修课程,该课程的教学质量对促进材料专业的本科生科技创新活动的开展和提高未来的就业深造的质量具有重要影响。将课程思政融入包括复合材料专业英语在内的材料专业英语课程势在必行,该文基于现有的具体情况,全面地分析在复合材料专业英语课程中进行课程思政的必要性、现状和存在的问题,并提出相应措施,以推进课程思政在复合材料专业英语课程中的全面开展和高质量实施,进而提高人才培养质量和水平。

新时代地方高校劳动教育体系探索与构建

加强劳动教育,有利于大学生更好地适应社会发展的需要,为个人的成长成才和社会主义现代化建设作出贡献。该文分析新时代地方高校加强劳动教育的重要性、现状及成因,提出丰富新时代劳动教育形式、加强新时代劳动教育师资队伍建设、推进劳动教育课程建设、建立科学的劳动教育评价体系四个方面的劳动教育实施路径,为构建地方高校劳动教育培养体系提供参考。

应用型高校数字经济专业建设研究与实践

随着现代信息技术的快速发展,数字经济正逐步成为推动我国经济增长的新引擎。现阶段,应用型高校在数字经济专业的建设中存在一系列问题,不仅限制了专业的进一步发展,也影响了数字人才的培养质量,难以对我国数字经济的高质量发展提供有效支撑。本文结合数字经济的发展趋势,深入分析应用型高校数字经济专业建设存在问题,对应用型高校在专业设置、课程教学、师资力量、校企合作等多个方面提出改革建议,为应用型高校数字经济专业的建设发展提供支撑,助力我国数字经济高质量发展。

基于多维支点及目标牵引的机器人工程专业实践能力提升途径研究

该文针对机器人工程专业学生的实践能力提升任务以及目前存在的问题,设计形成“三支点一牵引”的学生实践能力提升途径。首先,提出以科创竞赛为支点、以产业实践为支点、以科研案例理论教学为支点,构建机器人工程方向学生实践能力提升途径的下层平台基础。其次,以就业需求为牵引,制定学生能力培养目标,构建机器人工程专业学生实践能力提升途径的上层高度基础,为机器人领域培养应用型人才,提升机器人工程专业学生的综合实践能力,并在未来机器人领域快速发挥高水平能力,同时为其他工科专业提供实践能力提升途径探索经验。

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.