Attention-relation network for mobile phone screen defect classification via a few samples

How to use a few defect samples to complete the defect classification is a key challenge in the production of mobile phone screens.An attention-relation network for the mobile phone screen defect classification is proposed in this paper.The architecture of the attention-relation network contains two modules:a feature extract module and a feature metric module.Different from other few-shot models,an attention mechanism is applied to metric learning in our model to measure the distance between features,so as to pay attention to the correlation between features and suppress unwanted information.Besides,we combine dilated convolution and skip connection to extract more feature information for follow-up processing.We validate attention-relation network on the mobile phone screen defect dataset.The experimental results show that the classification accuracy of the attentionrelation network is 0.9486 under the 5-way 1-shot training strategy and 0.9039 under the 5-way 5-shot setting.It achieves the excellent effect of classification for mobile phone screen defects and outperforms with dominant advantages.

A Problem Not to Be Ignored: The Influencing Factors of Mobile Phone Addiction and Its Influence on Sleep Quality

Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attention. The present study aims to analyze the current state of mobile phone addiction and its impact on sleep quality within the population, while also exploring the influence of related factors on sleep quality. Ultimately, this research will provide a scientific foundation for targeted intervention measures and strategies. Methods: A total of 253 permanent residents in Nanjing were randomly selected as study subjects. The Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the degree of smartphone addiction and sleep quality of the study subjects. Body mass index (BMI) was measured according to standardized procedures. Independent sample t-test, Chi-square test, rank sum test and multiple linear regression were used to analyze the correlation between mobile phone addiction and sleep quality, and P Results: 117 people (46.2%) were addicted to mobile phones. Chi-square test showed that the rate of mobile phone addiction in drinking group was significantly higher than that in non-drinking group (P P P P P P P P P P Conclusion: Mobile phone addiction may lead to shorter sleep duration and reduce sleep efficiency. The withdrawal of mobile phone addiction may have a negative impact on sleep quality. According to the characteristics of the population, appropriate comprehensive intervention measures should be taken to build an effective evaluation system, so as to reduce the impact of mobile phone addiction and withdrawal problems on sleep and improve sleep quality.

Method to Remove Handwritten Texts Using Smart Phone

To remove handwritten texts from an image of a document taken by smart phone,an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spatial Pyramid Pooling(FCN-AC-ASPP).For a picture taken by a smart phone,firstly,the image is transformed into a regular image by the dewarping algorithm.Secondly,the FCN-AC-ASPP is used to classify printed texts and handwritten texts.Lastly,handwritten texts can be removed by a simple algorithm.Experiments show that the classification accuracy of the FCN-AC-ASPP is better than FCN,DeeplabV3+,FCN-AC.For handwritten texts removal effect,the method of combining dewarping and FCN-AC-ASPP is superior to FCN-AC-ASP alone.

泉州地震台g-Phone重力仪观测资料干扰因素分析

通过对泉州地震台g-Phone重力仪自正式运行以来观测资料的干扰因素进行总结,发现数采死机对数据影响较小,但断电造成的仪器内部温度的改变会导致原始数据漂移,从而降低数据的内在质量,建议应尽量避免人为操作如断电等造成的内部温度变化;台风影响使得数据噪声变大,表现为观测曲线变粗,呈纺锤状。希望研究结果可以为进一步利用重力资料提取地震前兆信息提供一定的参考。

Exposure to Electromagnetic Fields from Mobile Phones and Fructose consumption Coalesce to Perturb Metabolic Regulators AMPK/SIRT1-UCP2/FOXO1 in Growing Rats

Objective In this study,the combined effect of two stressors,namely,electromagnetic fields(EMFs)from mobile phones and fructose consumption,on hypothalamic and hepatic master metabolic regulators of the AMPK/SIRT1-UCP2/FOXO1 pathway were elucidated to delineate the underlying molecular mechanisms of insulin resistance.Methods Weaned Wistar rats(28 days old)were divided into 4 groups:Normal,Exposure Only(ExpO),Fructose Only(FruO),and Exposure and Fructose(EF).Each group was provided standard laboratory chow ad libitum for 8 weeks.Additionally,the control groups,namely,the Normal and FruO groups,had unrestricted access to drinking water and fructose solution(15%),respectively.Furthermore,the respective treatment groups,namely,the ExpO and EF groups,received EMF exposure(1,760 MHz,2 h/day x 8 weeks).In early adulthood,mitochondrial function,insulin receptor signaling,and oxidative stress signals in hypothalamic and hepatic tissues were assessed using western blotting and biochemical analysis.Result In the hypothalamic tissue of EF,SIRT1,FOXO 1,p-PI3K,p-AKT,ComplexⅢ,UCP2,MnSOD,and catalase expressions and OXPHOS and GSH activities were significantly decreased(P<0.05)compared to the Normal,ExpO,and FruO groups.In hepatic tissue of EF,the p-AMPKα,SIRT1,FOXO1,IRS1,p-PI3K,ComplexⅠ,Ⅱ,Ⅲ,Ⅳ,Ⅴ,UCP2,and MnSOD expressions and the activity of OXPHOS,SOD,catalase,and GSH were significantly reduced compared to the Normal group(P<0.05).Conclusion The findings suggest that the combination of EMF exposure and fructose consumption during childhood and adolescence in Wistar rats disrupts the closely interlinked and multi-regulated crosstalk of insulin receptor signals,mitochondrial OXPHOS,and the antioxidant defense system in the hypothalamus and liver.

Prediction of Traffic Volume of Motor Vehicles Based on Mobile Phone Signaling Technology

Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor vehicle traffic volume on urban roads in small and medium-sizedcities during the traffic peak hour by using mobile signal technology. Themethod is verified through simulation experiments, and the limitations andthe improvement methods are discussed. This research can be divided intothree parts: Firstly, the traffic patterns of small and medium-sized cities areobtained through a questionnaire survey. A total of 19745 residents weresurveyed in Luohe, a medium-sized city in China and five travel modes oflocal people were obtained. Secondly, after the characteristics of residents’rest and working time are investigated, a method is proposed in this studyfor the distribution of urban residential and working places based on mobilephone signaling technology. Finally, methods for predicting traffic volume ofthese travel modes are proposed after the characteristics of these travel modesand methods for the distribution of urban residential and working placesare analyzed. Based on the actual traffic volume data observed at offlineintersections, the project team takes Luohe city as the research object and itverifies the accuracy of the prediction method by comparing the predictiondata. The prediction simulation results of traffic volume show that the averageerror rate of traffic volume is unstable. The error rate ranges from 10% to 30%.In this thesis, simulation experiments and field investigations are adopted toanalyze why these errors occur.

Effects of sports on school adaptability, resilience and cell phone addiction tendency of high school students

BACKGROUND Sport help promote healthy physical and mental development of high school students.To date,there have been few studies on the effect of sport on school adaptability,resilience and cell phone addiction tendency of high school students.AIM To explore the effects of sports on school adaptability,resilience and cell phone addiction of high school students.METHODS A stratified random sampling method was used to select 600 students from two high schools in Lhasa,and Physical Activity Rating Scale,School Adjustment Scale for High School Students,Chinese Adolescents Resilience Scale,and Mobile Phone Addiction Index were used for field questionnaire survey.RESULTS Sport was positively correlated with school adaptability and resilience(P<0.01),school adaptability was positively correlated with resilience(P<0.01)and cell phone addiction was negatively correlated with sports,school adaptability and resilience(P<0.01).The direct effect of sport on cell phone addiction was significant(P<0.001),accounting for 20.51%of the total effect.The mediating effect of school adaptability on sport and cell phone addiction was significant(P<0.001),accounting for 17.38%and 35.36%of the total effect value,respectively.School adjustment and resilience had a significant chain-mediated effect on sport and cell phone addiction(P<0.001),accounting for 26.75%of the total effect.CONCLUSION Sport affected the cell phone addiction tendency of senior high school students through the mediating effect of school adaptability and resilience,and through the chain mediation effect of both.

Level of Insomnia, Symptoms of Depression, and Anxiety among College Students with Mobile Phone Addiction: Basis for Guidance and Counseling Program Enhancement

Mobile phone addiction is a growing concern among college students, with significant implications for their mental health. This study examines the complex relationship between mobile phone addiction and its impact on college students’ insomnia, symptoms of depression, and anxiety. A sample of 399 college students from traditional Chinese medicine colleges in Guangxi, China, completed the Mobile Phone Addiction Tendency Scale questionnaire. Among them, 155 students with high Mobile Phone Addiction Tendency scores were selected for the correlation study. The analysis revealed a strong association between mobile phone addiction and insomnia. Furthermore, mobile phone addiction was significantly associated with symptoms of depression, including feelings of sadness, worthlessness, and hopelessness, as well as heightened anxiety symptoms, such as excessive worry and restlessness. These findings emphasized the importance of targeted interventions and preventive measures to address the negative impact of mobile phone addiction on college students’ mental health.

1300万像素广角手机镜头设计

为满足高解析力、广角手机镜头发展需求,基于ZEMAX设计了一款1300万像素的广角手机镜头。镜头由6片塑料透镜和近红外滤光片构成,系统焦距为3.36mm,全视场84°,系统F数为2.6,系统总长5.4mm,像高5.86mm。采用OmniVision公司的OV13B10图像传感器,分辨率为4208pixel×3120pixel,像元尺寸1.12μm×1.12μm。设计结果表明,在奈斯奎斯特频率为223lp/mm处,中心视场调制传递函数(MTF)优于49%,0.7以内视场MTF优于33%。全视场最大RMS半径3.192μm,最大畸变-3.948%。全视场相对照度均优于38%。研究结果为高像质、广角手机镜头提供设计参考。

Acceptability of Phone-Based Communication Intervention by Healthcare Workers as an Adjunct to Routine Referral Form: A Qualitative Study in South Western Uganda

Introduction: A functional maternal referral system should encompass a feasible communication system between health facilities. In Uganda, the current paper-based patient referral form is associated with inadequate patient-information and low feedback rates. A recent quasi-experimental study demonstrated that a phone-based communication intervention is feasible for iterative communication between health facilities, and there were improved maternal-fetal outcomes and high rates of feedback. However, the acceptability of the intervention was not assessed. Objective: The study assessed the acceptability of a phone-based communication intervention by the health care workers (HCWs) for iterative communication between the referring and receiving health facilities. Methods: This was a qualitative study conducted in South Western Uganda, in April 2021. The study employed a theoretical framework of acceptability of medical interventions. We conducted in-depth interviews with HCWs and used deductive-inductive analysis. Results: We enrolled a total of 23 HCWs, of whom 69.6% (n = 16) were females while 30.4% (n = 7) were males. Majority (65.2%, n = 15), were midwives and the rest were: doctors (30.4%, n = 7) and a nurse (4.3%). The HCWs were positive towards the intervention: they believed that the intervention reduced delays, promoted professional escort, encouraged sharing of supplies, enabled exchange of relatively more patient details, feedback and improved case management. They believed it was culturally acceptable and had enough skills and experience of operating phones. All participants recommended scale out of the intervention, but advised on the need for dedicated human-resource to coordinate phone calls, ensure availability of airtime and charged battery. Conclusion: This study demonstrates that the phone-based communication intervention was highly accepted by the healthcare workers, and that hospitals can successfully give feedback to lower health centres through iterative phone calls. This provides a possible solution to the long-standing challenge of poor feedback rates and a vicious cycle of poor maternal-fetal outcomes in resource limited settings.

神经质人格对护理本科生手机成瘾倾向的影响:压力知觉和自我控制的链式中介作用

背景手机成瘾对大学生产生许多不利影响,如抑郁、焦虑、注意力涣散、认知障碍和睡眠障碍等。护理本科生是临床护理工作的重要后备力量,其不良的心理健康状况对未来的护理工作质量和护患关系具有重要影响。目的探究神经质人格与护理本科生手机成瘾倾向的关系,通过构建链式中介模型,考查压力知觉和自我控制在神经质人格与手机成瘾倾向之间的作用路径。方法于2023年2月―3月,采用方便抽样法,选取陕西省西安市10所高校共900名护理本科生为研究对象。采用艾森克人格问卷简式量表中国版(EPQ-RSC)中的神经质分量表、压力知觉量表(PSS)、自我控制量表(SCS)以及手机成瘾倾向量表(MPATS)分别评定护理本科生的神经质人格、主观压力、自我控制能力和手机成瘾倾向。运用SPSS宏程序Process 4.1中的model 6检验压力知觉和自我控制在护理本科生神经质人格与手机成瘾倾向之间的中介作用。结果①在900名护理本科生中,检出存在手机成瘾倾向者314人(34.89%)。②护理本科生EPQ-RSC神经质分量表评分与PSS总评分和MPATS总评分均呈正相关(r=0.400、0.287,P均<0.01),与SCS总评分呈负相关(r=-0.364,P<0.01);MPATS总评分与PSS总评分呈正相关(r=0.362,P<0.01),与SCS总评分呈负相关(r=-0.468,P<0.01);SCS总评分与PSS总评分呈负相关(r=-0.515,P<0.01)。③压力知觉和自我控制分别在神经质人格与手机成瘾倾向之间起部分中介作用(间接效应值分别为0.056、0.065,效应量分别为19.72%、22.89%);压力知觉-自我控制在神经质人格与手机成瘾倾向之间起链式中介作用(间接效应值为0.064,效应量为22.54%)。结论神经质人格、压力知觉和自我控制是护理本科生手机成瘾倾向的重要影响因素,神经质人格不仅直接影响护理本科生手机成瘾倾向,还可以通过压力知觉和自我控制的链式中介作用间接影响其手机成瘾倾向。

大学生错失焦虑、自我损耗与手机成瘾的关系:基于变量中心和个体中心的分析

目的:探讨大学生错失焦虑、自我损耗与手机成瘾的关系。方法:采用错失焦虑量表、自我损耗量表和手机成瘾量表,对1586名大学生进行团体施测,采用变量中心和个体中心的方法进行分析。结果:1相关性分析结果显示,错失焦虑与手机成瘾、自我损耗显著正相关(r=0.59,0.44;P<0.01);自我损耗与手机成瘾显著正相关(r=0.62,P<0.01);2中介效应检验表明,错失焦虑不仅直接预测大学生手机成瘾(β=0.59,P<0.01),还通过自我损耗的中介作用间接预测手机成瘾(β=0.39,P<0.01),中介效应占比33.90%;3对错失焦虑—自我损耗得分进行潜在剖面分析,可分为3种类别:低焦虑低损耗型(35.56%)、中等焦虑中等损耗型(51.14%)、高焦虑高损耗型(13.30%);3种潜在类别在手机成瘾上的得分具有显著差异(F=461.20,P<0.001)。结论:自我损耗在大学生错失焦虑与手机成瘾之间起部分中介作用;错失焦虑—自我损耗存在显著的群体异质性,具有明显的分类特征且与手机成瘾关系密切。

基于手机信令数据的城市居民动态OD矩阵提取方法

现有的城市居民出行调查周期较长,交通小区划分粒度粗糙,导致调查不能及时准确地获取居民出行信息。针对该问题,提出了一种基于手机信令数据的城市居民动态OD矩阵提取方法。首先,针对信令数据中的两种复杂噪声:乒乓切换和漂移数据,提出了基于窗口阈值的检测与等效位置替换方法,以及复杂漂移点的检测和标记处理方法;然后,提出一种改进的ST-DBSCAN聚类方法,引入一种等时化方法将时间信息与空间信息相结合,识别出行过程中的驻留点;最后,基于地理信息系统构建含有道路关键节点的路网,将居民出行OD与路网节点相匹配,有效推导出城市居民动态OD矩阵。实验结果表明:与ST-DBSCAN算法相比,所提改进的ST-DBSCAN算法在聚类效果和识别速度上分别提升了6.10%和5.26%;与统计方法和二阶统计量方法相比,基于改进的ST-DBSCAN算法的动态OD矩阵提取方法在均方误差(MSE)上分别降低了16.98%和21.55%。以北京市为例,运用提出的动态OD矩阵提取方法,能够及时有效地分析城市居民日常与高峰时段的出行特征。

“躺在床上玩手机”:农村留守儿童手机使用的扎根研究

手机使用对农村留守儿童成长产生了重要影响。基于扎根理论进行质性研究,揭示了导致农村留守儿童手机依赖的原因,包括家庭环境、学校教育与同辈影响等外部原因,也包括儿童心理状态和媒介素养等内部原因。研究发现,农村留守儿童的手机涵化效应较为严重,从而导致了他们较低的自我期望和学习投入。对此,家长要为儿童成长提供积极支持,学校应重视儿童媒介素养培养,家校社应协同加强对留守儿童的理想与榜样教育,互联网游戏企业应注重社会责任的担当。

正念对大学生手机成瘾倾向的影响:神经质和无聊的中介作用

为探讨正念对大学生手机成瘾倾向的影响及神经质和无聊在两者间的中介作用,采用五因素正念量表、大学生智能手机成瘾量表、中国大五人格问卷简版的神经质分量表、短式无聊倾向量表对642名大学生进行问卷调查。结果显示,正念能直接负向影响手机成瘾倾向,还可以通过神经质和无聊的并列中介和链式中介作用影响手机成瘾倾向。启示提升大学生正念水平,降低神经质和无聊情绪,对于防治大学生手机成瘾倾向具有积极作用。

医院安全移动应用平台的设计和实现

目的:降低医院移动办公和移动业务场景中的数据安全泄露风险。方法:基于虚拟手机技术,将移动办公和移动业务App实际安装和运行在医院内网的虚拟手机服务器上,而用户手持的移动终端只作为虚拟手机的显示和输入设备,同时部署数据安全网关,实现虚拟手机与移动终端的网络隔离,防止内部数据泄露到外部。结果:用户通过移动终端访问虚拟手机中的移动应用,所有的应用数据都只在虚拟手机中被处理和存储,从而避免数据从移动终端泄露。结论:建设安全移动应用平台可以降低医院移动办公和移动业务场景中的数据安全风险,减少医院对移动终端进行安全管控的要求,有助于推动移动业务的健康发展。

智能手机对高校课堂教学的影响及控制方法研究

智能手机已经成为当代大学生生活的必备物品,能够提供无时无刻的网络连接和丰富的应用资源,广泛应用于大学生生活、学习的各种场景。然而,在高校课堂教学过程中,越来越多的学生成为“低头族”,将大量课堂时间花在与课堂教学无关的智能手机上,严重影响了学习效果。结合国内外相关领域的研究现状,探讨了智能手机在高校课堂教学中使用的利弊、手机管控和引导使用的方法及案例分析,对建立符合大学生身心发展特点的课堂手机管控和引导策略及实施方案具有重要意义。

重庆回流人口识别方法及其规划响应

人口回流已成为全国人口流动的一种普遍现象,对于中西部人口净流出地区而言,认识回流人口的空间规律、结构是新时期编制国土空间规划、配置空间资源的重要基础。在总结当前回流人口定义的基础上,提出基于手机大数据的回流人口识别方法,并将其应用于回流规模、回流来源、回流去向、回流结构等4个方面的研究分析中。在此基础上,以重庆为例验证回流人口的识别方法,并阐释回流人口的基本特征,由此提出中西部地区人口回流地区的空间规划应对策略,以便加快手机大数据在回流人口研究领域的应用进程。

组织关怀对护理本科生手机成瘾倾向的影响:自我控制的中介作用

目的探讨护理本科生组织关怀、自我控制与手机成瘾倾向之间的关系,为预防和改善护理本科生手机成瘾提供参考依据。方法采用组织关怀氛围问卷(OCCQ)、自我控制量表(SCS)和大学生手机成瘾倾向量表(MPATS)评估900名护理本科生组织关怀程度、自我控制能力和手机成瘾倾向。结果900名护理本科生中,存在手机成瘾者314名,占34.89%。护理本科生MPATS评分与OCCQ评分、SCS评分均呈负相关(r=-0.156、-0.468,P<0.001);OCCQ评分与SCS评分呈正相关(r=0.152,P<0.001)。中介作用检验结果表明,自我控制在组织关怀与手机成瘾倾向间中介效应显著,中介效应占总效应的比例为44.07%。结论护理本科生手机成瘾倾向患病率较高;自我控制在组织关怀与手机成瘾倾向间具有中介作用,组织关怀能直接或间接降低护理本科生手机成瘾倾向。

开放式实验教学管理系统的设计与实现

为促进信息技术与实验教学的深度融合,有效运行开放式实验教学与管理模式,设计和开发了基于B/S架构的实验教学管理系统。系统由前端和后端两个部分组成,后端利用JAVA语言编写,将MySQL作为数据库管理系统;前端使用JavaScript语言开发,基于Html5和Css3技术构建交互页面与视觉效果,用户可以直接通过浏览器和微信公众号登录使用。系统的实现充分发挥了智能手机在开放式教学和管理中的作用,提高了开放教学的管理质量和水平。