Hierarchical Privacy Protection Model in Advanced Metering Infrastructure Based on Cloud and Fog Assistance

The Advanced Metering Infrastructure(AMI),as a crucial subsystem in the smart grid,is responsible for measuring user electricity consumption and plays a vital role in communication between providers and consumers.However,with the advancement of information and communication technology,new security and privacy challenges have emerged for AMI.To address these challenges and enhance the security and privacy of user data in the smart grid,a Hierarchical Privacy Protection Model in Advanced Metering Infrastructure based on Cloud and Fog Assistance(HPPM-AMICFA)is proposed in this paper.The proposed model integrates cloud and fog computing with hierarchical threshold encryption,offering a flexible and efficient privacy protection solution that significantly enhances data security in the smart grid.The methodology involves setting user protection levels by processing missing data and utilizing fuzzy comprehensive analysis to evaluate user importance,thereby assigning appropriate protection levels.Furthermore,a hierarchical threshold encryption algorithm is developed to provide differentiated protection strategies for fog nodes based on user IDs,ensuring secure aggregation and encryption of user data.Experimental results demonstrate that HPPM-AMICFA effectively resists various attack strategies while minimizing time costs,thereby safeguarding user data in the smart grid.

Thoughts on Pairing Assistance to Tibet for Promoting Agricultural High-quality Development in Southern Tibet from the Perspective of Agricultural Power

In the new era,there is an urgent need to further promote pairing assistance to Tibet,promote the simultaneous construction of a strong agriculture in Tibet and the China's Mainland,and compose a Chinese-style modernization.Southern Tibet,located in the southeastern part of the Tibet Autonomous Region,includes Shannan City and Nyingchi City,is a region assisted by four provincial partners including Hubei Province.This paper introduces the agricultural environment in southern Tibet,studies its agricultural characteristics,and analyzes the main issues of its pairing assistance.Taking forging the strong consciousness of the Chinese national community as the main line,the paper explores strategies for promoting agricultural high-quality development in southern Tibet through pairing assistance to Tibet from the perspective of agricultural power,and proposes some strategies,such as inheriting agricultural cultural heritage,promoting the upgrading of modern seed industry,enhancing the characteristic advantages of highland barley(naked barley)and animal husbandry industries,and developing edible fungi and cold water fish industries.

Paired Assistance:Policy Rationale and Economic Performance as Illustrated by Xizang and Xinjiang

This study highlights the changing priorities of China’s paired assistance throughout the past decades,as well as its theoretical implications and economic growth effects for recipient regions.Using panel data from 32 prefecture-level cities from 1990 to 2020,this study uses the multiperiod difference-in-differences approach to examine how paired assistance has contributed to economic growth in Xizang Autonomous Region and Xinjiang Uygur Autonomous Region.The findings indicate that,first,the implementation of the paired assistance policy has boosted economic growth in Xizang and Xinjiang.Second,paired assistance has stimulated economic growth in recipient communities by improving infrastructure.Third,paired assistance has contributed to economic growth in recipient communities by providing improved public services such as education and healthcare.Improvements to public services have a relatively smaller indirect effect in short term than infrastructure development on economic growth.Yet both education and healthcare are crucial to people’s quality of life in recipient communities.This paper has refined and broadened research on the effects of paired assistance,providing preference for future policymaking.

Evaluating Methods of Visual Assistance for Workers to Improve Quality and Usability in Individualized Kitchen Cabinet Assembly

In times of digitalisation, visual assistance systems in assembly are increasingly important. The design of these assembly systems needs to be highly complex to meet the requirements. Due to the increasing number of variants in production processes, as well as shorter innovation and product life cycles, assistance systems should improve quality and reduce complexity of assembly processes. However, many large kitchen manufacturers still assemble kitchen cabinets manually, due to the high variety of components, such as rails and fittings. This paper focuses on the analysis and evaluation of virtual assistance systems to improve quality and usability in individualised kitchen cabinet assembly processes at a large German manufacturer. A solution is identified and detailed.

Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance

Day by day,biometric-based systems play a vital role in our daily lives.This paper proposed an intelligent assistant intended to identify emotions via voice message.A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert actions.This proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes(LED)alert signals and it also keep track of the places like households,hospitals and remote areas,etc.The proposed approach is able to detect seven emotions:worry,surprise,neutral,sadness,happiness,hate and love.The key elements for the implementation of speech emotion recognition are voice processing,and once the emotion is recognized,the machine interface automatically detects the actions by buzzer and LED.The proposed system is trained and tested on various benchmark datasets,i.e.,Ryerson Audio-Visual Database of Emotional Speech and Song(RAVDESS)database,Acoustic-Phonetic Continuous Speech Corpus(TIMIT)database,Emotional Speech database(Emo-DB)database and evaluated based on various parameters,i.e.,accuracy,error rate,and time.While comparing with existing technologies,the proposed algorithm gave a better error rate and less time.Error rate and time is decreased by 19.79%,5.13 s.for the RAVDEES dataset,15.77%,0.01 s for the Emo-DB dataset and 14.88%,3.62 for the TIMIT database.The proposed model shows better accuracy of 81.02%for the RAVDEES dataset,84.23%for the TIMIT dataset and 85.12%for the Emo-DB dataset compared to Gaussian Mixture Modeling(GMM)and Support Vector Machine(SVM)Model.

Spatial spillover effects of official development assistance on environmental pressure in sub-Saharan African(SSA)countries

Impoverished sub-Saharan Africa(SSA)is under increasing environmental pressure from global environmental changes.It is now generally accepted in academic circles that economic development in SSA countries can cause environmental pressure in other countries.However,there is research gap on the impact of economic assistance on environmental pressure in SSA countries and whether economic assistance causes spatial spillovers of environ-mental pressure between SSA countries.To better understand the impact of economic assistance on environmental pressures in SSA,a dynamic spatial Dubin panel model was developed.It helped us explore the spatial spillover effects of economic assistance on environmental pressures in recipient countries based on the panel data from 34 SSA countries.The results show that economic assistance had a positive stimulating effect on environmen-tal pressures of recipient countries,which means that the degree of human disturbance to the environment has deepened.Due to the regional correlation effect,neighboring countries were saddled with environmental pres-sures from the target country.Moreover,environmental pressures have time inertia,which can easily produce a snowball effect.The decomposition of effects shows that the impact of economic assistance on environmental pressures is relatively minor.Environmental pressures have spillover effects,so to deal with diffuse risks,joint regional prevention and control policies should be developed.

Experience in Surgical Coordination of Type III Cesarean Scar Pregnancy Removal with Combined Assistance of Hysteroscopy and Laparoscopy

Objective:This paper aims to summarize the operative nursing coordination essentials of type III cesareans car pregnancy removal.Methods:Six patients were recruited for this study,and the patient’s condition was fully evaluated before the operation.In addition,the personnel,environment,and materials were well prepared before the operation,and the preparation of special intraoperative instruments and equipment was perfected.Results:The operation is successfully performed in all six patients.Each surgery lasted 70 to 120 minutes with an average duration of 90 minutes.Postoperative blood loss was about 100-500 ml.Postoperative recovery was good without complications in all the patients.Conclusion:In summary,laparoscopic removal of gestational tissue from type III cesareans car pregnancy in conjunction with hysteroscopy ensures compete removal of gestational tissue,while avoiding damaging the surrounding organs and tissues,thus greatly avoiding common complications which usually occur during the surgery.Effective surgical coordination is helpful to further improve the success rate of the operation.

基于ChatGPT的课程学习助手系统的设计与实现

计算机编程语言类课程在学生学习和教师教学过程中遇到诸多困难,聊天机器人程序ChatGPT的出现,为该类课程的学习带来新的尝试。通过设计一款基于ChatGPT的计算机编程语言类课程学习助手系统,帮助学生解决程序代码输入量少、程序代码输出困难的问题。从ChatGPT接入、数据集构建到关键字配置三个方面阐述系统的设计和实现,并通过实际运行测试,效果良好。

手术机器人在妇科恶性肿瘤手术中的临床应用分析

目的:分析探讨机器人辅助下妇科恶性肿瘤手术的安全性、可行性及临床价值。方法:回顾性总结吉林省肿瘤医院2014年10月—2020年3月实施的213例达芬奇机器人妇科恶性肿瘤手术病例,其中宫颈癌122例,子宫内膜癌89例,卵巢癌(补充手术)1例,阴道癌1例。分析患者的临床资料、手术情况及治疗效果,并对手术时间、术中失血量、术后肠道功能恢复时间、膀胱功能恢复时间、腹部切口愈合时间、淋巴结切除数目、术后并发症发生情况(出血、感染、尿潴留、肠梗阻、下肢静脉血栓等)、总住院时间、至少1年的随访结果等指标进行评估。结果:213例手术均顺利完成,无中转开腹或更改术式。无术中并发症(如重要血管大出血,膀胱、输尿管、肠道损伤等)发生。术后出现双侧淋巴囊肿4例,单侧淋巴囊肿10例,其中1例淋巴囊肿感染,经超声穿刺、抗感染后好转,其余经对症处置后减轻;单侧下肢肌间静脉血栓1例,经溶栓治疗后好转;尿潴留1例,经膀胱功能锻炼后导尿管顺利拔出;阴道断端愈合差1例,经阴道消毒、上药后愈合良好。术后规范治疗,随访时间为12~52个月,其中1例宫颈高级别神经内分泌癌患者于术后13个月发生肺转移、锁骨上淋巴结转移,于术后25个月死亡;1例阴道癌患者于治疗结束31个月后复发,后放弃治疗失访;1例卵巢癌补充根治术患者于术后17个月复发,后放弃治疗并死亡。结论:达芬奇机器人手术系统应用于妇科恶性肿瘤手术安全、可行,其微创优势明显,患者创伤小、出血少、恢复快,手术安全性高,具有临床应用价值,值得临床推广。

机器人与胸腔镜肺段切除术治疗早期非小细胞肺癌疗效的对比研究

目的:对比分析达芬奇机器人与胸腔镜肺段切除术治疗早期非小细胞肺癌(non-small cell lung cancer,NSCLC)的临床疗效。方法:回顾性分析2016年06月至2020年12月,于我院胸外科行微创肺段切除术的早期非小细胞肺癌患者,共纳入134例,分为机器人组(robot-assisted thoracic surgery,RATS)47例,胸腔镜组(video-assisted thoracic surgery,VATS)87组,对比分析两组临床特征及手术指标、术后主要并发症情况及费用。结果:手术时间、术中出血、平均住院日、术后引流时间等,RATS组优于VATS组,但两组差异无统计学意义(P>0.05)。术后并发症如肺炎、胸腔积液、心律失常、肺不张发生率,两组间差异无统计学意义(P>0.05)。超过5天漏气率RATS组为6.3%,低于VATS组的10.3%,差异有统计学意义(P<0.05)。两组术后NRS疼痛评分差异无统计学意义(P>0.05)。RATS组住院费用明显高于胸腔镜组,差异有统计学意义(P<0.05)。两组1年生存率和2年生存率差异均无统计学意义(P>0.05)。结论:机器人肺段切除术治疗早期非小细胞肺癌安全可行,与胸腔镜相比,术后长期漏气发生较少,值得推广应用。

嵌入性视角下农村互助养老政策的实践困境与优化路径——基于河南省H县的田野调查

伴随互助养老从社会自发发展阶段迈向国家视野下的积极统筹阶段,互助养老政策的现实重要性由此凸显出来。基于嵌入性视角,互助养老政策下乡必然受到诸多内生性因素影响,在此情形下,政策需要积极调适自身并推进认知、文化、组织和政策的社会嵌入,才能取得良好的政策效果。然而,由于注重硬件投入和追求标准化服务、互助文化式微和养老观念变迁、缺乏社会动员和组织体系建设、量化指标推进和行政控制权强化,当前互助养老政策存在认知脱嵌、文化脱嵌、组织脱嵌和政策脱嵌等结构性困境。作为改进,应加快协商平台构建和服务评估优化、强化养老政策宣传和家庭政策支持、加强社会精英吸纳和组织体系构建、优化治理主体合作和考核体系改善,塑造出良好的嵌入性环境,助推互助养老政策的认知、文化、组织和政治嵌入,真正实现低成本、高福利、可持续的互助养老服务生产。

“印太战略”框架下美国对太平洋岛国的嵌入式援助

嵌入式援助是指一国在对外援助的过程中,利用本国的政治力量、社会力量和市场力量优势把本国的治理理念、规范制度、治理模式嵌入到受援国的治理架构中,重构受援国治理体系和治理能力,以深度影响受援国治理议程和政策偏好为目标的援助形态。近年来,出于制衡中国崛起、利用太平洋岛国的独特地缘战略价值、护持太平洋霸权和扩展软实力影响的战略需要,美国将太平洋岛国纳入其“印太战略”框架,着力实施嵌入式援助,推动太平洋岛国与美国实现战略耦合,呈现出多主体参与、全政府协同、注重治理经验输出、依赖联盟网络、采用项目外包和嵌入领域广泛的特点。美国的嵌入式援助在本质上就是以柔性、隐蔽和伪善的方式,试图在大国竞争中以治理软实力塑造太平洋岛国的美国认知、治理结构与对外关系,维护其在太平洋岛国的话语影响力和战略控制力,稳定由其主导的“印太秩序”。由于受到自身霸权相对衰落、部分太平洋岛国与美国存在利益冲突以及太平洋岛国的自主性增强等多重因素限制,未来美国对太平洋岛国的嵌入式援助成效将充满不确定性。

氩气氛围下微波辅助点火机理

基于自行搭建的微波辅助点火(MAI)试验台架,引入高时间分辨率的电气诊断系统,对比了N_(2)氛围和Ar氛围对微波辅助点火核心发展的影响,并从微波等离子体形成和放电电流演变等方面探究了MAI点火核心发展的内在机制.结果表明:当量比为0.80时,N_(2)氛围和Ar氛围中的微波增强作用均与微波等离子体的强度明显相关,但二者等离子体生成特征存在明显区别,Ar氛围中微波等离子体的生成阈值更低.将Ar氛围的当量比降低至0.65时,微波等离子体的生成特征与当量比为0.80的Ar氛围中基本一致,与当量比为0.80的N_(2)氛围存在显著差异,故微波等离子体的生成特征主要由工质氛围决定.用电气诊断系统得到的微波辅助放电窗口能定量表征微波等离子体的强度,同时,微波等离子体强度与微波对点火核心的增强效果呈线性相关.最终明确了微波辅助点火存在两个作用窗口,分别是增强火花放电的微波辅助放电窗口和增强点火核心的微波辅助点火窗口,二者共同作用决定着微波增强的最终效果.

医疗护理员培训体验及需求的质性访谈

目的了解医疗护理员培训体验及需求,为完善课程体系提供参考。方法本研究采用目的抽样法,以信息饱和为原则,对揭阳市人民医院2020年8月至12月18名参与“医疗护理员岗位技能培训班”的医疗护理员进行半结构式访谈,了解培训感受及需求。其中,男性5人,女性13人,年龄(44.12±5.12)岁。采用Nvivo20.0进行资料分析,总结归纳访谈主题。结果形成医疗护理员培训后体验和需求的5个相关主题,包括“教学组织与培训效果”“考核组织体系”“职业价值感”“内源性不足”和“其他培训需求”。结论本次课程培训实用性强,医疗护理员培训体验良好。未来将结合医疗护理员培训需求,完善培训方案。通过多样的评价形式反映医疗护理员的核心能力,使职业教育和培训管理方案更具科学性、先进性和实用性。

基于德尔菲法和层次分析法的中国助理全科医生岗位胜任力模型构建研究

背景助理全科医生是全科医生队伍的重要组成部分,承担着许多基层全科工作,但目前国内还没有公认的国家层面助理全科医生岗位胜任力模型为培养合格的助理全科医生提供科学的依据。目的构建中国助理全科医生岗位胜任力模型指标体系,为国家助理医师执业资格考试设计的完善提供支持,同时为助理全科医生的培养和评价提供理论依据。方法基于课题组前期文献研究和行为事件访谈建立条目池,于2019年9月—2020年1月采用德尔菲法对30位从事全科医学领域的专家进行2轮咨询,运用层次分析法确定中国助理全科医生岗位胜任力模型指标及权重系数。结果最终拟定中国助理全科医生岗位胜任力一级指标6个[基本医疗卫生服务(0.2448)、医学知识与终身学习(0.2448)、职业素养(0.2448)、人际沟通与团队合作(0.1389)、基本公共卫生服务(0.0858)、信息利用能力与管理能力(0.0410)],二级指标63个,并明确了各个指标的权重系数。结论本研究首次构建了中国助理全科医生岗位胜任力模型,其专家代表性及权威程度较高,指标筛选较为全面、合理,为指标体系的实证研究奠定了基础。

水产品超声辅助浸渍冷冻技术研究进展

目的为延长水产品销售周期,最大程度保持其营养品质,促进水产品冷冻保藏及加工技术的发展和产业化。方法归纳总结超声辅助浸渍冷冻的作用机理,并探究其对冰晶形成和生长以及水产品保鲜加工的影响。结果超声辅助浸渍冷冻能有效提高冷冻效率,减小冰晶晶核规格,缩短冷冻时间,减缓水产品蛋白质变性与脂质氧化速率,改善水产品质构、保持其营养价值,是水产品冷冻处理的有效途径。结论超声辅助浸渍冷冻技术能在一定程度上解决水产品冷冻过程中存在的问题,为水产品冷冻技术产业化提供支持。超声辅助浸渍冷冻技术在作用机制、适用范围和特定环境下的作用衰减等方面存在着一定缺陷,还需深入阐述其作用机理,为冷冻智能装备开发提供保障。

微信辅助翻转课堂教学模式在牙周病学本科教学中的应用研究

目的:探讨微信辅助翻转课堂教学模式在牙周病理论教学中的实践效果。方法:57名中国医科大学本科学生的牙龈病理论教学中采用微信辅助翻转课堂教学模式为试验组;在牙周炎理论教学中采用传统课堂教学方法的为对照组。试验组课前通过微信公众平台和微信群发放教学资料,课堂上分析病例,课后进行习题测试和问卷调查。对照组采用课堂讲授教学。结果:试验组总成绩显著高于对照组(P=0.001)。调查问卷提示试验组学生对教学模式满意度高于对照组(Likert量表:P=0.001;VAS尺:P=0.008)。结论:微信辅助翻转课堂教学模式有助于提高牙周病理论教学成绩,增强学生的自学能力与临床实践能力。

山茱萸多糖提取工艺优化及结构表征

目的:优化微波辅助双水相提取(microwave assisted aqueous two-phase extraction, MATPE)山茱萸多糖工艺并获得均一的山茱萸多糖馏分。方法:通过正交试验获得最佳的MATPE山茱萸多糖的工艺;利用DEAE-52纤维素和Sephadex G-100柱层析法纯化山茱萸多糖粗提物,最终获得单一多糖馏分(COP-2-S)。利用高效凝胶渗透色谱法测定COP-2-S分子量;利用气相色谱测定COP-2-S的单糖组成;采用紫外、红外和扫描电镜表征COP-2-S结构。结果:MATPE山茱萸多糖的工艺为微波功率300 W、乙醇体积分数35%、硫酸铵质量分数22%和料液比1∶20 (g/mL),此时山茱萸多糖得率为(12.04±0.17)%。COP-2-S分子量为17 450 Da,单糖组成为阿拉伯糖、葡萄糖和半乳糖,其摩尔比为12.85∶30.71∶18.09。结论:COP-2-S在260,280 nm处无特征吸收,且呈无规则的片状结构。

水中硝酸盐氮稳定同位素比值测定前处理方法的优化

水体中过量的硝酸盐会导致严重的水生生态恶化和环境污染问题。氮稳定同位素技术为水体污染来源的判断及水生系统氮素转化机理研究提供了强有力的工具。在前人基础上,通过开发Cu^(2+)-Cd复合催化结合超声波辅助加速反应,优化硝酸盐氮同位素比值测定前处理方法。考察了Cu^(2+)添加量、超声功率以及反应时间变化对NO_(3)^(-)-N转化生成N_(2)O气体及其氮同位素比值的影响,在单因素实验基础上采用正交实验优化得到了最佳反应条件,并采用不同^(15)N同位素比值的KNO_(3)标准溶液结合气体预浓缩装置与稳定同位素质谱仪联用系统对新方法进行了验证。新方法单次反应体系中氮最低量为1.0μg,其中自然丰度和高丰度样品δ^(15)N分析精度小于1‰,富集样品的^(15)N分析精度可达0.1 atom%以内(CV<1%);且所有标准样品的^(15)N测定值与参考值基本一致。将优化后的方法应用于不同来源水样中硝酸盐氮稳定同位素比值测定,均可获得较好的精度,较原方法提高了前处理效率,且精度更优。建立的方法准确可靠,操作简单,耗时短,适用于水中硝酸盐氮稳定同位素比值测定的批量、快速前处理。

国产手术机器人辅助下腮腺肿瘤切除1例

机器人手术被誉为外科学领域的“第三次技术革命”,是现代外科学发展的重要里程碑。然而我国创新型手术机器人产业尚处于起步阶段,仅用于部分外科领域。为了探讨国产手术机器人在口腔颌面外科应用的有效性,笔者在国产自主手术机器人辅助下顺利完成腮腺良性肿瘤切除1例,手术顺利,面神经功能保存完好,术后创口愈合良好。