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关键词： Bullying   Perpetration   Victimization   Cyberbullying   Latent class analysis   Psychosomatic symptoms  

摘要： The aim of the study was to investigate the pattern of traditional- and cyberbullying, and fighting involvement and identify its most important correlates in a nationally representative sample. We analyzed the data of Hungarian 11-18-year-old adolescents in the framework of the Health Behaviour in School-aged Children Study. A latent class analysis was performed first and afterwards a multinomial logistic regression analysis to examine factors explaining class membership. Four latent classes were identified: "high probability involvement in all forms of violence";"low involvement in any forms of violence";"predominantly involved in traditional bullying and fighting";"high engagement in online victimization". As no clear victim or perpetrator group was identified, a high overlap between these violence involvement statuses is reinforced.

关键词： multilevel MIMIC   model misspecification   fit indices  

摘要： This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates produced in the correct and the misspecified models were compared under varying conditions of cluster number, cluster size, intraclass correlation, and the magnitude of the interaction effect in the population model. Results showed that the two main effects were overestimated by approximately half of the size of the interaction effect, and the between-level factor mean was underestimated. None of comparative fit index, Tucker-Lewis index, root mean square error of approximation, and standardized root mean square residual was sensitive to the omission of the interaction effect. The sensitivity of information criteria varied depending majorly on the magnitude of the omitted interaction, as well as the location of the interaction (i.e., at the between level, within level, or cross level). Implications and recommendations based on the findings were discussed.

关键词： PLS-DA   LDA   SIMCA   Authentication   Food control   Breed purity   Feeding regime  

摘要： The potential of Near Infrared Spectroscopy combining different spectral treatments and classification models was assessed for the classification of individual pre-sliced Iberian dry-cured loin packaged under modified atmosphere packaging (MAP) into three official commercial categories (which involve the breed purity and production system) according to the current Iberian Quality Standard (Black, Red and White) and for the assignment to the shelf-life time (0, 4, 8 and 12 months). External validation results provided acceptable results, with up to 100% of samples correctly assigned to Black and White official commercial category and into all storage times. Actually the 100% assignments were obtained using more than one approach (SIMCA and LDA for commercial categories and PLS-DA, SIMCA and LDA for storage times). These results might contribute to support the on-line control of authenticity of official commercial category and to facilitate the monitoring of the quality of pre-package dry-cured products throughout the shelf-life prediction.

关键词： 生产检测检验   矿山   安全生产  

摘要： 随着现代社会的不断发展,国家生产水平要求也越来越高,矿山的安全生产也成了越来越多的人关注的话题,为了保障矿山生产生活工作的顺利实施,我国也为矿山的生产建设投入了非常大的精力,为了保证工程的建设进程,以及工程的监管力度,国家投入了技术上的支持和鼓励。目前为止,我国的对于矿山的生产检测制度得到了非常广泛的应用,生产检测技术的普及标志着我国矿山安全方面有了非常大的保障,本文就生产检测检验在矿山安全生产的过程中的作用进行了分析和研究。

关键词： 血常规检验   巨幼细胞贫血   缺铁性贫血   健康体检  

摘要： 探讨血常规检验在贫血患者临床诊断中的作用。方法:选择我院2020年1~12月收治的巨幼细胞贫血和缺铁性贫血患者各50例作为研究对象,选择同期的50例健康体检者作为对照组,对比三组观察对象的血常规检查情况。结果:缺铁性贫血患者的血红蛋白、平均红细胞体积、红细胞、平均红细胞血红蛋白含量水平均明显低于健康对照组,巨幼细胞贫血患者的血红蛋白、红细胞水平均明显低于健康对照组,而平均红细胞体积、平均红细胞血红蛋白含量水平却高于健康对照组。两种贫血患者的红细胞体积分布宽度则明显高于健康对照组(P<0.05)。结论:贫血患者的血常规检查结果存在明显的异常表现,因而可以将血常规检查结果作为贫血诊断和治疗的依据,推广应用价值较高。

关键词： 垃圾分类   快递包装   回收再利用   模糊综合评价法  

摘要： 随着电商行业的迅速崛起,快递量逐年激增。快递业务在拉动消费促进经济增长的同时也带来了一定负面影响,如快递包装因没有及时回收处理带来的资源浪费、环境污染等问题。与此同时,循环经济、绿色物流、垃圾分类等理念先后提出,使快递包装回收再利用体系的构建与完善也成为社会各界探讨的焦点。通过对垃圾分类大背景下我国快递包装回收再利用发展现状和影响因素的分析,提出快递包装回收再利用的三种模式,即以制造商为主导的快递包装回收模式、以快递企业为主导的快递包装回收模式和以垃圾回收站为主导的回收模式,借助模糊综合评价法和SPSSAUE在线数据分析确定最佳模式。最后从政府、企业和个人等层面提出快递包装回收再利用的实施策略。

关键词： 动物   检验检疫   食品安全  

摘要： 近年来,人们对肉类食品的需求不断提高,这也对肉类食品的品质提出了更高的要求,在动物饲养、屠宰、加工、运输到进入市场的各个环节,都需要进行更高水平的要求,以此来确保进入市场的肉类食品能够安全,能够健康,保障消费者的身体健康,因此加强动物的检验检疫工作是至关重要的,本文就针对动物检验检疫在食品安全中的作用展开了一定的讨论研究。

关键词： 外卖垃圾包装   垃圾分类   对策   可持续发展  

摘要： 随着移动互联网的快速普及,线上外卖下单的用户极具规模的增多,随之而产生的外卖包装垃圾也极大地增加垃圾处理的工作难度。网络订餐这种新型的模式虽然方便了消费者,但是也在其中制造了很多的外卖垃圾,给我们的环境造成了极大的困扰。本文选取宿州市宿州学院为案例,通过问卷调查和实地考察等方式,分析了校园外卖食品垃圾收集与分类的实践情况,并且针对性地提出了其中的可行性和改进措施。

关键词： PDCA循环   检验科   危险化学品   安全管理  

摘要： 目的:探究PDCA循环管理法在改进检验科危险化学品管理水平中的作用。方法:医院高度重视危险化学品安全管理工作,为了提高检验科危险化学品管理水平,检验科工作人员从2019年7月开始采用PDCA循环管理法开展危险化学品管理改进工作,2019年1~6月为实施前,2019年7~12月为实施后,比较实施前后的管理效果。结果:实施后检验科危险化学品标识率、储存合格率、出入库登记完整率、安全数据表配置率等,均显著高于实施前(P<0.05)。实施后检验科工作人员危险化学品管理知识考核评分,显著高于实施前(P<0.05)。实施后检验科工作人员危险化学品安全操作考核优良率,显著高于实施前(P<0.05)。结论:PDCA循环管理法能够有效提高检验科危险化学品管理水平,控制危险化学品安全管理风险,保障检验科工作人员及患者安全,保障医院的安全运行。

关键词： Detection   Edge devices   Interference   Jamming   Machine learning   Security   WSNs and ZigBee  

摘要： Despite Wireless Sensor Networks (WSNs) significantly developing over the past decade, these networks, like most wireless networks, remain susceptible to malicious interference and spectrum coexistence. Other vulnerabilities arise as WSN applications adopt open standards and typically resource and energy-constrained commercial-off-the-shelf equipment. Deployments include safety-critical applications such as the internet of things, medical, aerospace and space and deep-sea exploration. To manage safety and privacy requirements across such a diverse wireless landscape, security on wireless edge devices needs improvement while maintaining low complexity. This paper improves wireless edge device security by developing a novel intelligent interference diagnostic framework. Received in-phase (I) and quadrature-phase (Q) samples are exclusively utilized to detect modern, subtle and traditional crude jamming attacks. This I/Q sample utilization inherently enables decentralized decision-making, where the low-order features were extracted in a previous study focused on classifying typical 2.4-2.5 GHz wireless signals. The associated optimal intelligent models are leveraged as the foundation for this paper's work. Initially, Matlab Monte Carlo simulations investigate the ideal case, which incorporates no hardware limitations, identifies the required data type of signal interactions and motivates a hardware investigation. Software-defined radios (SDRs) collect the required live over-the air I/Q data and transmit matched signal (ZigBee) and continuous-wave interference in developed ZigBee wireless testbeds. Low complexity supervised machine learning models are developed based exclusively on the low-order features and achieve an average accuracy among the developed models above 98%. The designed methodology involves examining ZigBee over-the-air data for artificial jamming and SDR jamming of ZigBee signals transmitted from SDR and commercial (XBee) sources. This approach expands