Employment and development levels in rural areas of the Russian Federation

The development of agro-industrial complex is important for ensuring national food security and national health.The development of rural areas is subject to the development of agriculture and local infrastructure,as well as the availability of various services.This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method.The results indicated that 20 regions(Group 1)had the highest percentage of rural population(33.10%).The percentage of population engaged in agriculture had the highest value(12.40%)in 31 regions(Group 2).Moreover,20 regions(Group 3)had the highest investments in fixed assets at the expense of municipal budget(11.80 USD/person).Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas.Then,we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters.Cluster 1 covered Kirov Region and Republic of Mari El;Cluster 2 included Ulyanovsk Region,Saratov Region,Nizhny Novgorod Region,Perm Territory,Orenburg Region,Chuvash Region,and Republic of Mordovia;and Cluster 3 contained Republic of Tatarstan,Samara Region,Udmurtian Republic,Penza Region,and Republic of Bashkortostan.Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas.The 7 regions of Cluster 2 needed to develop infrastructure,public services,and agricultural production.We found the highest employment level in rural areas,the largest investments in fixed assets at the expense of municipal budget,the largest residential building area per 10,000 persons,and the largest individual residential building area in the 5 regions of Cluster 3.This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas,which is especially important for the sustainable development of the Russian Federation.

High level architecture evolved modular federation object model

To improve the agility, dynamics, composability, reusability, and development efficiency restricted by monolithic federation object model （FOM）, a modular FOM is proposed by high level architecture （HLA） evolved product development group. This paper reviews the state-of-the-art of HLA evolved modular FOM. In particular, related concepts, the overall impact on HLA standards, extension principles, and merging processes are discussed. Also permitted and restricted combinations, and merging rules are provided, and the influence on HLA interface specification is given. The comparison between modular FOM and base object model （BOM） is performed to illustrate the importance of their combination. The applications of modular FOM are summarized. Finally, the significance to facilitate compoable simulation both in academia and practice is presented and future directions are pointed out.

An extended HLA multilayer federation integration architecture for multidisciplinary collaborative simulation

The development of complex products is essentially concerned with multidisciplinary knowledge. Running on Internet, integration based on muhilayer federation architecture and dynamic reuse of simulation resources are the major difficulties for complex product collaborative design and simulation. Since the traditional Run-Time Infrastructure （RTI） is not good at supporting these new requirements, an extended high level architecture （HLA） multilayer federation integration architecture （MLFIA）, based on the resource management federation （RMF） and its supporting environment based Service-oriented architecture （SOA） and HLA （SOHLA） are proposed, The idea and realization of two key technologies, the dynamic creation of simulation federation based on RMF, TH RTI, an extensible HLA runtime infrastructure （RTI）, used at Internet are emphasized. Finally, an industry case about multiple unit （MU） is given.

Research and Practice on the Training Mode of Innovative and Entrepreneurial Talents in Colleges and Universities:A Case Study of Academic Association of"Federation of Life Science Research and Innovation"

Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is necessary to organically combine personalized education with the cultivation of innovative and entrepreneurial ability.On the basis of unified teaching ideas,we should pay attention to the individual differences of educational objects,eliminate the disadvantages of traditional education,and break the conventional"spoon-feeding"teaching mode.It is necessary to shift from only paying attention to one-way indoctrination to paying attention to the cultivation of students'innovative quality,and to enhance students'interest in scientific research and practical ability of innovation and entrepreneurship through the rich scientific research activities of academic associations.

A Trust Value Sharing Scheme in Heterogeneous Identity Federation Topologies

Recent developments in heterogeneous identity federation systems have heightened the need for the related trust management system.The trust management system evaluates,manages,and shares users’trust values.The service provider(SP)members of the federation system rely on users’trust values to determine which type and quality of service will be provided to the users.While identity federation systems have the potential to help federated users save time and energy and improve service experience,the benefits also come with significant privacy risks.So far,there has been little discussion about the privacy protection of users in heterogeneous identity federation systems.In this paper,we propose a trust value sharing scheme based on a proxy ring signature for the trust management system in heterogeneous identity federation topologies.The ring signature schemes can ensure the validity of the data and hide the original signer,thereby protecting privacy.Moreover,no group manager participating in the ring signature,which naturally matches with our decentralized heterogeneous identity federation topologies.The proxy signature can reduce the workload of the private key owner.The proposed scheme shortens the calculation time for verifying the signature and then reduces the overall time consumption in the process of trust sharing.Our studies prove that the proposed scheme is privacy-preserving,efficient,and effective.

Development of Fuzzy Risk Calculation Method for a Dynamic Federation of Clouds

This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here, for solving this problem, first of all, important factors which are capable of seriously influencing the information security level of clouds are selected and then hierarchical risk assessment architecture is proposed based on these factors. Then, cloud provider’s risk priority vectors are formed by applying the AHP methodology and fuzzy logic excerpt type risk evaluation is carried out based on this vector.

Legal Frame for Criminal Proceedings Against Juveniles in the Federation of Bosnia and Herzegovina

The paper analyzes applicability of legal frame of international standards on the protection of juvenile rights which are expressed through the concept of protection of ＂the best interests of a child and juvenile＂, in view of the question whether the Federation of Bill performs appropriate activities and to which extent, and are there controversy points that need to be resolved separately. It points out the unknowns which the practices of the courts in the Federation of Bill have not yet completely resolved, and are related to the applicability of the new rules adopted by the Law on Protection and Treatment of Children and Juveniles in Criminal Proceedings of the Federation of Bill. Also, it presents a set of legal rules that regulate criminal proceedings against juveniles within the Federation of Bill, with a special emphasis on the basic characteristics of this process. Finally, possible solutions to the mentioned ambiguities and dilemmas are proposed in accordance with the principle of legal certainty as essential to addressees of the relevant legal norms

On the Chinese Characteristics of Literary Federation System

The literary federation system is a cultural system with Chinese characteristics. The Chinese characteristics of the literary federation system are mainly embodied in: it is the embodiment of the United Front under the leadership of the Communist Party of China in the field of literature and art, an important system to promote the popularization of literature and art, and a supplement to the system of honors in the cultural field of new China.

World Federation of Chinese Medicine Societies Center for Translation

The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.85% of the members are owning master degrees or above.Those talentsare from universities,research institutions of TCM and Beijing Foreign Studies University etc.

China Keen to Protect Women’s Rights, Interests——An interview with Zhao Shaohua, vice-chairwoman of the All-China Women’s Federation

EDITOR＇S NOTE： Slated for September 2008, the Tenth National Congress of the Chinese Women will review the achievements the country has made over the past five years in promoting women＇s rights and interests and formulate the targets for the protection endeavor over the next five years. The five years since the Ninth National Congress of the Chinese Women have witnessed a constant improvement in the status of the Chinese women and in their human rights conditions. Following is a transcript of an interview given our staff reporters by Zhao Shaohua, vice-chairperson of the All-China Women＇s Federation （ACWF） and member of the ACWF Secretariat, on how women＇s rights and interests are protected in China.

China Housing Industry Association under the All-China Federation of Industry and Commerce has now launched its Sustainable Asia-Pacific Greenland Brand

This community of townhouses in Chengdu, SichuanProvince was developed by Dalian’s Wanda Group

Broad-based Network for Protecting the Rights and Interests of Women and Children——A story about the Women's Federation of Qinhuangdao City

The room is in utter chaos, with chairs piling up in a comer and the cable TV not connected to the power source. But one thing is put in place： a slogan on the wall ＂Creating an outstanding WFQ team for the benefit of all women and children.＂

All-China Youth Federation(ACYF)Sino-African Youth Exchanges

Youth exchanges Contact between young people has become an important part of China-Africa friendship and exchanges. During his visit to Africa in early 2007, Chinese President Hu Jintao announced the plan to invite 500 African youths to visit China in the following three years. According to this plan,ACYF had invited 500 African young people to

World Federation of Chinese Medicine Societies Center for Translation

The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.

Federation Boosting Tree for Originator Rights Protection

The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all data in a central storage point.In the current horizontal federated learning scheme,each participant gets the final jointly trained model.No solution is proposed for scenarios where participants only provide training data in exchange for benefits,but do not care about the final jointly trained model.Therefore,this paper proposes a newboosted tree algorithm,calledRPBT(the originator Rights Protected federated Boosted Tree algorithm).Compared with the current horizontal federal learning algorithm,each participant will obtain the final jointly trained model.RPBT can guarantee that the local data of the participants will not be leaked,while the final jointly trained model cannot be obtained.It is worth mentioning that,from the perspective of the participants,the scheme uses the batch idea to make the participants participate in the training in random batches.Therefore,this scheme is more suitable for scenarios where a large number of participants are jointly modeling.Furthermore,a small number of participants will not actually participate in the joint training process.Therefore,the proposed scheme is more secure.Theoretical analysis and experimental evaluations show that RPBT is secure,accurate and efficient.

World Federation of Acupuncture-Moxibustion Societies(WFAS)Technical Benchmark of Acupuncture and Moxibustion:Scalp Acupuncture

World Federation of Acupuncture-Moxibustion Societies(WFAS)Technical Benchmark of Acupuncture and Moxibustion:Scalp Acupuncture,was approved by WFAS,issued on October 9,2023,and officially implemented on December 31,2023.This technical benchmark specifies terms and definitions,scope of application,operation steps and requirements,security requirements,etc.In the development process,the actual clinical conditions of acupuncture and moxibustion in various countries have been fully considered.This technical benchmark is applicable to global acupuncture medical institutions,conducive to the standardized use of scalp acupuncture in clinical practice,and can promote the international dissemination of scalp acupuncture in a certain degree.

World Federation of Acupuncture-Moxibustion Societies(WFAS)Technical Benchmark of Acupuncture and Moxibustion:Cupping

World Federation of Acupuncture-Moxibustion Societies(WFAS)Technical Benchmark of Acupuncture and Moxibustion:Cupping,developed under the leadership of Tianjin University of Traditional Chinese Medicine,was approved by WFAS.This technical benchmark was issued on October 9,2023,and implemented on December 31,2023.The main contents include the scope,normative references,terms and definitions,procedures and rules,and safety.This article focuses on the above contents,an outlook on the application,popularization,and update plan of this technical benchmark is proposed.

Federated Learning’s Role in Next-Gen TV Ad Optimization

In the rapidly evolving landscape of television advertising,optimizing ad schedules to maximize viewer engagement and revenue has become significant.Traditional methods often operate in silos,limiting the potential insights gained from broader data analysis due to concerns over privacy and data sharing.This article introduces a novel approach that leverages Federated Learning(FL)to enhance TV ad schedule optimization,combining the strengths of local optimization techniques with the power of global Machine Learning(ML)models to uncover actionable insights without compromising data privacy.It combines linear programming for initial ads scheduling optimization with ML—specifically,a K-Nearest Neighbors(KNN)model—for predicting ad spot positions.Taking into account the diversity and the difficulty of the ad-scheduling problem,we propose a prescriptivepredictive approach in which first the position of the ads is optimized(using Google’s OR-Tools CP-SAT)and then the scheduled position of all ads will be the result of the optimization problem.Second,this output becomes the target of a predictive task that predicts the position of new entries based on their characteristics ensuring the implementation of the scheduling at large scale(using KNN,Light Gradient Boosting Machine and Random Forest).Furthermore,we explore the integration of FL to enhance predictive accuracy and strategic insight across different broadcasting networks while preserving data privacy.The FL approach resulted in 8750 ads being precisely matched to their optimal category placements,showcasing an alignment with the intended diversity objectives.Additionally,there was a minimal deviation observed,with 1133 ads positioned within a one-category variance from their ideal placement in the original dataset.

The Internet of Things under Federated Learning:A Review of the Latest Advances and Applications

With the rapid development of artificial intelligence,the Internet of Things(IoT)can deploy various machine learning algorithms for network and application management.In the IoT environment,many sensors and devices generatemassive data,but data security and privacy protection have become a serious challenge.Federated learning(FL)can achieve many intelligent IoT applications by training models on local devices and allowing AI training on distributed IoT devices without data sharing.This review aims to deeply explore the combination of FL and the IoT,and analyze the application of federated learning in the IoT from the aspects of security and privacy protection.In this paper,we first describe the potential advantages of FL and the challenges faced by current IoT systems in the fields of network burden and privacy security.Next,we focus on exploring and analyzing the advantages of the combination of FL on the Internet,including privacy security,attack detection,efficient communication of the IoT,and enhanced learning quality.We also list various application scenarios of FL on the IoT.Finally,we propose several open research challenges and possible solutions.