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.

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.

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.

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.

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。

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.

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。

公立医院设置科室运营助理的实践与思考

北京清华长庚医院基于现代组织理论,设置了科室运营管理助理岗位,系统规划了运营助理的岗位职责与运行机制、组建条件、技术路径,取得了一定的成效。但是科室运营助理的职能范围、隶属关系及其与科主任的关系等问题尚需进一步理顺,以为公立医院实现精细化运营管理和高质量发展提供经验借鉴。

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。

聚碳酸酯气体辅助注射成型制品内应力分布及改善工艺

聚碳酸酯(PC)注塑制品出模后在无外加约束条件下内部应力得不到松弛释放,易导致制品产生开裂,严重影响制品的服役性能。为探究PC制品内应力分布规律,找到有效降低内应力的工艺措施,基于气体辅助注射成型(GAIM)工艺和自行设计制造的带有半圆形加强筋的平板试验模具,结合光弹法和溶剂检测法,研究GAIM制品内应力的分布特点,讨论注气压力和气体保压压力两种工艺参数对GAIM制品内应力的影响规律,提出两种改善制品内应力的工艺方法。研究发现:通过光弹法观测到的应力条纹分布与溶剂浸泡后的裂纹开裂区域一致,即GAIM制品末端及边缘处内应力较大,沿气道两侧应力分布较均匀;较高的注气压力和较低的气体保压压力可以更加有效减小GAIM制品的内应力;通过对GAIM制品24 h即时退火和延长二次注气的卸压时间可以有效降低制品内应力。

患者同伴支持的喜与忧质性研究

运用参与型实地观察、质性访谈法和扎根理论等方法对患者同伴支持进行研究。研究发现,一方面,同伴支持网络作为一种“多赢”的社会支持模式,在许多病种患者群体中取得了积极效果,成为了病友之间的情感寄托,有利于缓和紧张的医患关系,改善病友与社会的联结,提高病患及其照顾家属的身心健康和社会福利水平;另一方面,也出现了某些突破同伴支持边界的行为,给病友造成情感以及财产上的损失,甚至因为援助过度而将自己陷入了非法领域。

剖宫产子宫瘢痕缺损对采用辅助生殖技术孕妇妊娠结局的影响及对策

近二十年中国的剖宫产率持续上升,导致继发性不孕的剖宫产瘢痕缺损(CSD)患者增加,需要通过辅助生殖技术(ART)解决再生育问题。CSD可显著降低ART活产率、临床妊娠率和胚胎植入率,这与患者子宫内膜容受性下降、瘢痕局部发生腺肌病及子宫内膜异位症、宫腔微环境紊乱、ART操作难度及妊娠并发症增加有关。除了使用促性腺激素释放激素类似物可能改善妊娠结局,宫腔镜手术、腹腔镜手术和经阴道手术是治疗CSD的有效方法,可提高妊娠率。本文通过文献回顾,分析CSD对采用ART孕妇妊娠结局的影响及相应的治疗方法,以期为CSD患者管理及改善ART妊娠结局提供新思路。

大学生慢就业现象的影响因素与应对策略研究

近年来,大学生慢就业现象比较常见,引起社会广泛关注。为科学评价大学生慢就业现象,合理引导高校毕业生就业,选取河北省5所高校2023年应届毕业生为调研对象,开发测评量表,编制设计调查问卷,构建大学生慢就业影响因素测评体系,对其就业能力、就业准备、职业规划、就业观念、就业压力等影响因素进行定量评价,探索应对大学生慢就业现象的策略。大学生就业率是衡量高校教学质量与就业情况的重要指标,也是经济社会发展的重要保障,为此高校应紧跟社会需求,优化人才培养方案,提升人才培养素质;毕业生自身也应摆正就业心态,积极做好就业准备与职业规划;毕业生家庭也应改变择业观,尊重子女的就业选择,协助其做好职业发展规划,帮助其进一步明确人生目标。

“双一流”背景下生物化学双语教学改革探索

生物化学是生命科学及医学的基础及前沿学科,为实现“双一流”建设目标及适应经济和科技发展的全球化趋势,运用双语教学对生命科学培养高素质人才具有重要的意义。该文指出在生物化学双语教学中存在的问题,提出建立以能力为导向的教学体系,在教学中采用多样化的授课方式并融入思政元素,尽力提高学生的课堂参与度,同时还建立多样化的学习效果评价体系。这些措施使学生的学习成绩明显提高,说明我们在探索双语教学方法的改革中做出的尝试是行之有效的。

新疆油田浅层超稠油SAGD高效低碳开发技术研究与展望

针对“双碳”目标背景下超稠油开发高能耗与油田高质量发展矛盾日益加剧的问题,新疆油田通过SAGD机理研究与现场实践,在维持蒸汽腔高效扩展,突破储层渗流屏障遮挡,提高浅薄层驱泄复合效率,实现水平井长水平段高效均衡产液等方面持续攻关,取得显著效果。采用气体辅助技术,实现蒸汽腔隔热保压增能,油汽比可提高20%;利用立体井网及储层升级扩容技术,改善Ⅲ类超稠油油藏渗流特征,泄油速度可增大20%~40%;采用全密闭生产方式,VHSD产液温度由100℃上升至150℃,采油速度提高50%;深化热采流量控制器(FCD)机理研究,完善油藏-井筒耦合优化设计方法,水平井水平段动用程度可提高20%。“十四五”期间,新疆油田将深化溶剂辅助SAGD、无水SAGD和控温水热裂解等技术研究,逐步完善浅层超稠油低碳高效开发技术系列,该研究可为稠油油藏开发提供借鉴。

超声辅助低温碱提木聚糖及制备低聚木糖

以酒糟为原料,研究超声波辅助碱法对提取木聚糖影响,并考察提取工艺对木聚糖酶制备低聚木糖的影响。响应面实验优化超声波辅助碱提木聚糖,结果表明:在NaOH浓度8%、料液比1∶20、提取温度58℃、超声波功率955W和提取时间20 min条件下,木聚糖提取率为72.31%。通过液相色谱、凝胶色谱和红外光谱分析表明:提取木聚糖样品主要成分为木聚糖,超声处理降低相对分子量和聚合度。酶解制备低聚木糖(XOS),在酶用量为100U/g底物、pH 8.0、50℃时,酶解6 h得率达80%以上,XOS中木二糖-木四糖的含量总和(XOS2-4)占64.5%。XOS为2 mg/mL时,对DPPH自由基清除率为87.3%。本研究通过超声辅助碱溶液降低木聚糖提取能耗和木聚糖相对分子量,有效提高XOS酶解得率。该工艺将有助于提高酿酒副产物酒糟的附加值。

真空辅助乳腺微创旋切术治疗乳腺纤维腺瘤的临床效果研究

目的:探讨真空辅助乳腺微创旋切术治疗乳腺纤维腺瘤的临床效果。方法:选取笔者医院2019年9月-2020年9月收治的92例乳腺纤维腺瘤患者,随机分为观察组(n=46,应用真空辅助乳腺微创旋切术)和对照组(n=46,应用环乳晕切口术),采用统计学方法分析两组患者治疗后的围术期指标(手术时间、术中出血量、切口长度、切口愈合时间)、美学效果(乳房对称性、凹陷程度、质地与弹性、皮肤颜色)、乳晕区感觉神经功能损伤情况、并发症(乳房变形、皮下血肿、皮肤破损、皮下瘀斑)、肿瘤复发率及肿瘤残余率。结果:术后,观察组手术时间、切口愈合时间短于对照组,术中出血量少于对照组,切口长度短于对照组,差异均有统计学意义(P<0.05);术后1个月,观察组美学效果优良率高于对照组患者(P<0.05);观察组患者术后1 d与术后6个月乳晕区感觉神经功能正常的比例为43.48%、91.30%,均高于对照组的23.91%、73.91%(P<0.05);术后,观察组肿瘤残余率和复发率均低于对照组(P<0.05),两组并发症发生情况比较差异无统计学意义(P>0.05)。结论:真空辅助乳腺微创旋切术能够降低围术期指标和术后并发症,美学效果好,肿瘤残余率和复发率低,值得临床推广应用。

融合知识图谱和案例推理的燃气应急辅助决策研究

燃气事故发生时,应急处置人员基于文本资料查询应急处置方案难以满足处置科学性与快速性的需求。为此,提出了一种融合知识图谱和案例推理的燃气应急辅助决策方法。将已有燃气事故案例文本资料以知识图谱的形式存储与表示,利用案例推理的属性相似度与关系相似度加权计算方法,根据事故目标案例与源案例的综合相似度,检索出最佳相似源案例作为现场处置人员应急处置决策的重要参考,并将新的案例与处置措施存储于燃气应急处置知识图谱库中,实现处置措施的知识更新。通过案例相似度权重分配、属性权重分配、属性相似度方法选取,以及案例验证等,验证了本文方法的合理性与有效性。