铅山县、横峰县、上饶市广信区农村常住居民肠道寄生虫感染率调查及感染特性分析

目的 探究铅山县、横峰县、上饶市广信区农村常住居民肠道寄生虫感染率及感染特性。方法 选取2022年1月至2023年12月铅山县、横峰县、上饶市广信区农村常住居民2 029例为研究对象,其中铅山县627例、横峰县719例、上饶市广信区683例。对其展开调研,分析三个地区人民肠道寄生虫感染率,分析感染特征。结果 铅山县、横峰县、上饶市广信区农村常住居民肠道寄生虫总感染率为12.03%,其中,蛔虫感染率为3.25%、鞭虫感染率为2.02%、钩虫感染率为2.27%、蛲虫感染率为1.97%、绦虫感染率为2.51%,三个地区的感染率比较,无显著差异(P>0.05);244例肠道寄生虫感染患者中,铅山县85例(13.56%)、横峰县91例(12.66%)、上饶市广信区68例(9.96%),三个地区的感染率比较,无显著差异(P>0.05);感染年龄分布情况分析,2~9岁、72~82岁感染率最高。结论 铅山县、横峰县、上饶市广信区农村常住居民整体的肠道寄生虫感染率较高,常见寄生虫包括蛔虫、鞭虫、钩虫、蛲虫、绦虫,且感染人群集中在2~9岁、72~82岁,需要相关部门加强监管,强化重点地区的寄生虫病防治。

2017年至2021年广信区手足口病流行病学特征分析

目的探析2017年至2021年广信区手足口病的流行病学。方法回顾性分析2017年1月至2021年12月广信区3757例手足口病患儿的资料,统计患儿信息,对其病原菌检查结果详情数据进行收集。结果患儿年龄多集中于0~3岁儿童,主要为散居儿童,且男性高于女性,男女患病率分别为56.88%、43.12%;发病时间:4~6个月、10~11个月感染率均较高,即春秋季为疾病高发季节,表现为双高峰;致病菌以其它肠道病毒和柯萨奇为主。结论当前儿童患有手足口病主要集中在0~3岁儿童,多发于每年4~6个月和10~11个月,因此应做好防御措施,做好疫苗接种,预防患儿出现手足口病重症,保障儿童安全。

学校体育场地器材配置现状调查与分析——以上饶市广信区小学为例

场地与器材是开展体育教学与完成体育教学任务的基础,是保证体育教学质量的物质条件。本文采用文献资料法、问卷调查法、数理统计法、逻辑分析法对上饶市广信区小学体育场地器材设施的配置现状、使用情况、维护管理情况以及影响因素进行分析,经分析可知,目前上饶市广信区小学体育器材配置与使用情况中存在着体育器材设施管理不达标、体育器材设施质量较差等问题。针对存在的问题进行分析梳理,为上饶市广信区小学体育提出科学、合理的建议。

江西省上饶市广信区城乡一体化供水工程规划方案探讨

村镇供水工程普遍存在水质、水量、水压不达标,管理不规范,资金来源渠道分散,缺乏后期专业化管护等问题。随着城乡深度融合,城乡一体化供水工程成为解决农村居民用水安全,改善农村生活质量,促进城乡区域经济统筹协调发展和实现水资源优化配置的重要途径。文章结合江西省上饶县广信区城乡一体化供水工程,对广信区村镇饮水安全问题现状进行深入剖析,针对规划背景、规划目标及原则、建设任务和总体布局等提出相应的规划实施方案,为江西省东北部县域城乡供水一体化规划建设提供借鉴和参照。

上饶广信区种植大户融资影响因素研究

种植大户融资困难是一个长期的问题,最初的时候,金融机构忽略了农民的合法融资要求权,仅承认政府和企业的储蓄、融资权。直至国家推出多项强农惠农的政策,才让农民们的资金周转困难出现了缓解。目前国内外有关种植大户融资困难的研究多从融资现状、影响因素、解决途径三个方面进行了探讨,本文对种植大户融资难的原因进行分析,并从种植大户、金融机构、政府三个角度提出对策。

上饶市广信区发展现代农业存在的问题及对策

江西省上饶市广信区的农业存在大而不强、基础差、底子薄、农民收入不高的问题,不利于农业的长远发展。在当前和今后一个时期,广信区要把进一步推进农业产业化、加快发展现代农业作为一项重要任务,助力农村发展,早日实现乡村振兴。

Analysis of handoff in distributed mobile communications system based on remote antenna unit selection

A remote antenna unit （RAU） selection model is presented, and two kinds of handoffs, intra-cell handoff （HO） and inter-cell HO, are defined in distributed mobile communications systems （DAS）. After that, an inter-cell HO model is proposed, in which the average power of the active set （AS） is used to predict the position of the mobile station （MS）. The total power of the AS and the handoff set （HOS） are utilized to determine whether an inter-cell HO is necessary. Furthermore, the relationship between HO parameters and performance metrics is studied in detail based on RAU selection. Simulation results show that both the intra-cell HO and the inter-cell HO can achieve oerfect performance by aoprooriate settings of HO parameters.

The Community Radio in Thailand： 2012 Onwards

Radio broadcasting services in Thailand are in transition and face an uncertain future. This situation has arisen from enforcement of the 2010 Frequency Allocation and Telecommunications Business Act and the establishment of the National Broadcasting and Telecommunications Commission （NBTC） as a single, combined regulatory body for broadcasting and telecommunications. The Act brings in significant changes through ＂liberalization＂ in telecoms and broadcasting markets. Key events expected in the future, such as the implementation of AEC in 2015 and the transformation from analog to digital systems will have significant detrimental impact on the Thai broadcasting industry. These changes will affect 524 AM and FM radio stations and around 7,000 community radio operations. This paper gives a picture of radio broadcasting industry, especially of community radio stations, their history, present and future. It also argues that the survival of radio stations in Thailand after 2015 will depend on （l） its social, institutional, financial, and technical abilities; and （2） the ability of NBTC to adopt and enforce policy and regulation for promoting free and fair competition.

GENERALIZED p-VALUES AND GENERALIZED CONFIDENCE INTERVALS FOR VARIANCE COMPONENTS IN GENERAL RANDOM EFFECT MODEL WITH BALANCED DATA

Various random models with balanced data that are relevant for analyzing practical test data are described, along with several hypothesis testing and interval estimation problems concerning variance components. In this paper, we mainly consider these problems in general random effect model with balanced data. Exact tests and confidence intervals for a single variance component corresponding to random effect are developed by using generalized p-values and generalized confidence intervals. The resulting procedures are easy to compute and are applicable to small samples. Exact tests and confidence intervals are also established for comparing the random-effects variance components and the sum of random-effects variance components in two independent general random effect models with balanced data. Furthermore, we investigate the statistical properties of the resulting tests. Finally, some simulation results on the type Ⅰ error probability and power of the proposed test are reported. The simulation results indicate that exact test is extremely satisfactory for controlling type Ⅰ error probability.