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.

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.

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。

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。

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。

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。

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。

手机信令支撑下的城镇体系结构测度——从流空间视角

城镇体系结构是城镇协同与制约关系的空间呈现.通过立足城镇体系的“三结构”,运用手机信令数据,从流空间的视角构建多尺度的城镇体系结构测度框架,对城镇等级规模结构和地域空间结构进行整合.测度过程中通过耦合联系流量和联系流向改进了城镇等级规模测度模型;同时从城镇分布、联系及组合状态三个方面测度城镇地域空间结构.最后,以宁波市乡镇为对象展开测度,结果表明该市呈现“一主四副,五轴四区”的空间格局,据此完成了宁波市城市总体规划实施评估,继而验证了该框架的可行性与科学性并提出了市域空间格局的优化建议.

基于LDA-ARIMA的我国智能手机关键技术主题识别与演化分析

[目的/意义]专利是技术能力的表现形式,包含关键技术主题信息。以智能手机专利数据为基础,提出关键技术主题的识别和演化分析方法,帮助企业获取行业内的技术信息,调整专利研究的成本与精力投入。[方法/过程]首先,选择专利数据库和高级检索内容,下载和导出专利标题和摘要数据,并对数据进行去停用词和jieba分词等处理;其次,构建困惑度求解模型,确定最优主题数,再将已经分好词的文本导入LDA模型进行主题挖掘,得到每个技术主题下关键词语的分布;再次,将主题热度转化为时间序列,进行平稳性检测和白噪声检验,确定ARIMA模型参数后应用预测;最后,依据每个技术主题下提取的特征词确定关键技术主题并进行解读,通过时间序列预测结果对关键技术主题进行演化分析。[结果/结论]以智能手机为研究对象,成功识别出屏幕、电池与充电、生物识别系统等15个关键技术主题,挖掘出各主题不同的演化发展特征,根据演化趋势分析提出建议,验证了本文主题识别与演化分析方法的可行性与有效性。

基于手机食谱软件饮食干预在2型糖尿病患者中的应用

目的 探讨2型糖尿病(T2DM)患者中行基于手机食谱软件的饮食干预的作用。方法 选择2021年1月至2023年1月合肥市第一人民医院诊治的96例T2DM患者,按照随机数字表法将其分为常规组和干预组,各48例。常规组行常规饮食指导,干预组在常规组的基础上实施手机食谱软件的饮食干预。观察干预3个月后患者自我效能感、饮食依从性、糖脂代谢变化情况。结果 干预后,两组糖尿病自我效能感评分、饮食依从性测评得分均高于干预前,且干预组高于常规组,差异有统计学意义(P<0.05);干预后,两组餐后2 h血糖、空腹血糖水平及胰岛素敏感指数低于干预前,且干预组低于常规组,差异有统计学意义(P<0.05)。结论 T2DM患者中行基于手机食谱软件的饮食干预,可提升患者自我效能,提高其饮食依从性,促进糖脂代谢指标改善。

情绪调节自我效能感对手机依赖的影响——人际关系适应的中介作用

目的:探究大学生人际关系适应在情绪调节自我效能感与手机依赖之间的中介作用.方法:采用情绪调节自我效能量表、手机依赖测验量表和中国大学生适应量表—人际关系适应分量表对484名在校大学生进行问卷调查.结果:女性、非独生子女认为自己使用手机过度的个体更易产生手机依赖;大学生情绪调节自我效能感与手机依赖呈负相关(r=-0.136,P<0.01),与人际关系适应呈正相关(r=0.362,P<0.01),大学生人际关系适应与手机依赖之间无显著相关(r=-0.021,P>0.05);人际关系适应在情绪调节自我效能感与手机依赖之间不存在显著的中介作用.结论:情绪调节自我效能感对手机依赖存在一定的影响.

基于ARM处理器的温室大棚智能监控系统设计

为了实现温室大棚的智能监测与控制,设计基于ARM处理器的温室大棚智能监控系统。系统分为三个部分:数据采集及设备控制终端、智能网关终端、Android手机客户端,数据采集及设备控制终端以ARM微处理为核心,通过传感器、算法、Wi-Fi等技术,实现温室大棚数据采集、数据处理、数据传输及执行设备的智能控制,智能网关终端实现多个温室大棚数据从内网发送至公网,Android手机客户端实现数据的接收与发送。经测试验证,系统能够实现温室大棚的智能监控。