Studying Design and Use of Healthcare Technologies in Interaction: The Social Learning Perspective in a Dutch Quality Improvement Collaborative Program

Designing technologies is a process that relies on multiple interactions between design and use contexts. These interactions are essential to the development and establishment of technologies. This article seeks to understand the attempts of healthcare organisations to integrate use contexts into the design of healthcare technologies following insights of the theoretical approaches of social learning and user representations. We present a multiple case study of three healthcare technologies involved in improving elderly care practice. These cases were part of a Dutch quality improvement collaborative program, which urged that development of these technologies was not “just” development, but should occur in close collaboration with other parts of the collaborative program, which were more focused on implementation. These cases illustrate different ways to develop technologies in interaction with use contexts and users. Despite the infrastructure of the collaborative program, interactions were not without problems. We conclude by arguing that interactions between design and use are not naturally occurring phenomena, but must be actively organised in order to create effects.

Development of living floor spaces on the basis of ecological economic and social programs

Human activities moves to an ecological disaster. The technocratic approach to the organization of activity breaking environment ecology forces to defend the Nature accidents. The mankind crossed line of technological development when the Planet became vulnerable. Will help to rescue mankind from an ecological disaster, ecological thinking and behavior of people, and their ecological responsibility, the moral relation to the nature;harmonization of vital system by waste-free industrial cycles of the combined productions;eco-world formation. The problem of global ecological stabilization can be solved by implementation of social and economic interdisciplinary programs, such as, first, the ecological program “Clean Air, Clear Water, Pure Food, Net Energy, Pure Cities and Villages, Pure Nature”, secondly, the program of development ecological and health the preserving with the filled economy resources, thirdly, the “Development Health of the Preserving Medicine and Health System” program, fourthly, the program of the ecological focused interdisciplinary education, fifthly, the program of peaceful, humane environmental policy, sixthly, the program of civil education of harmonious life for a sustainable development, seventhly, the program of formation of fair democracy as way of life of society. Social and economic programs for stabilization of ecology need to be realized under the competent direction and control of the institutionalized infrastructure of scientific and educational society and on the basis of ecological thinking and behavior of all segments of the population. World community will have to undertake decisive measures to stabilize the environmental ecological processes in order to keep modern and future generations supplied with a harmony between the meeting of their reasonable needs, social and economic problems decision, with the life on the Earth being preserved.

Research and Application of Distributed Data Mining Method for Improving Rural Power Grid Enterprises in Production and Operation Status Evaluation

With the reform of rural network enterprise system,the speed of transfer property rights in rural power enterprises is accelerated.The evaluation of the operation and development status of rural power enterprises is directly related to the future development and investment direction of rural power enterprises.At present,the evaluation of the production and operation of rural network enterprises and the development status of power network only relies on the experience of the evaluation personnel,sets the reference index,and forms the evaluation results through artificial scoring.Due to the strong subjective consciousness of the evaluation results,the practical guiding significance is weak.Therefore,distributed data mining method in rural power enterprises status evaluation was proposed which had been applied in many fields,such as food science,economy or chemical industry.The distributed mathematical model was established by using principal component analysis(PCA)and regression analysis.By screening various technical indicators and determining their relevance,the reference value of evaluation results was improved.Combined with statistical program for social sciences(SPSS)data analysis software,the operation status of rural network enterprises was evaluated,and the rationality,effectiveness and economy of the evaluation was verified through comparison with current evaluation results and calculation examples of actual grid operation data.

Uncoordination of China’s social assistance program resources and policy solutions

With the promulgation and implementation of Social Assistance Interim Measures, China hasbasically established the social assistance system framework with Dibao, Three-nos people support and disasterrelief as the basis, with housing aid, medical aid ,education aid and employment aid as the support and with temporaryassistance and charity help as the supplement. The establishment of various social assistance programsundoubtedly aims to fulfil different demands of urban and rural neddy people, however,the increase of socialassistance programs does not necessarily bring about an increase in the effectiveness of social assistance. Thispaper analyzes the uncoordination of Chinas social assistance program resources and put forward related policysolutions.

Spatial Social Network Analysis: Program Pengembangan Usaha Agribisnis Perdesaan (PUAP) or an Exertion Development Program in Supporting the Region Revitalization Development

As the exertion development (PUAP) develop in Rejang Lebong Regency in Bengkulu province which had been started since 2008 by giving a kind of fund aid called Bantuan Langsung Masyarakat (BLM PUAP), to Gapoktan (Gabungan Kelompok Tani) or an organization of farmers such by giving some money as the capital used for 1) food plant cultiva-tion, horticulture, animal husbandry, plantation, and2) non-cultivation exertion such as;home industry of agriculture, small marketing scale and another agriculture exertion. By the approach which had been done is hoped to get the important result, on the other way the role of analysis factor (Social Network Analysis) from all undertaking stakeholders programs PUAP to be relevance steps aimed to understand the relation or connectivity from all factors in the network and also the role of factor inside the network itself be the relevance steps in arranging the strategy and work intention from the realization stage of PUAP program for the continuity of the realization program in the future (finding the good strategy) which aimed to develop the program of PUAP in Rejang Lebong Regency in Bengkulu Province, and to be a reference from doing the program as a national program in Indonesia.

Social Cognition in Schizophrenia: A Review Study

Social cognition includes all operations encountered in the process of perceiving, understanding & production of appropriate reactions while confronting with others. These include: social awareness, theory of mind, attributive style, and emotion processing. Social cognition skills have been recognized as a vital component in the rehabilitation process for schizophrenic persons, its strong contributors in social function among individual suffering from schizophrenia. The purpose of this review is to appraise various researches about social cognition and its correlates in addition to evaluating various cognitive interventions targeted toward improving social cognition function among patients group and to find the best techniques to ameliorate social cognitive deficits in schizophrenia. Databases were searched from the period from the year 2000 to October 2018. The search terms used were “Social cognition”, emotional management program, schizophrenia. A total of 85 articles were identified and those who meet inclusion criteria including 27 articles. Finding indicates the efficacy of social intervention that targets cognitive aspect in functional abilities of schizophrenic patients and also emotion processing which are significant mediators of social performance aptitudes in patients group.

Turning into a “Godparent”: How adult volunteers negotiate their personal life to become a mentor for “Unaccompanied Refugee Minors”

This article looks into how volunteers deal with their biographies and social embeddedness to make sense of their engagement in mentoring before they are matched. It draws on a qualitative investigation on a community-based pilot youth mentoring program for “unaccompanied refugee minors” in Austria. This article reveals how already trained, local adults actively relate to “family,”“migration” and “previous activities” in their meaning-making. It shows how they negotiate their personal life and existing relationships in the process of turning into a future “godparent.” The discussion of findings against the state of the art leads the way to two heuristic claims: firstly, the study provides grounded arguments for an extension of the conventional mentoring concept on the side of the mentor. Secondly, for a more relational and processual approach towards the mentors’ side, both biographical and social network dimensions need to be integrated in methods and designs of youth mentoring research.

Egypt’s Currency Devaluation & Impact on the Most Vulnerable

The aim of the current research paper is to review what the Government of Egypt (GOE) has done to alleviate hardship conditions facing vulnerable low-income citizens, including its civil servants, during the implementation of the recent International Monetary Fund Economic Reform program. The main research questions are: What policies and initiatives has the GOE pursued post its currency devaluation in order to alleviate hardships on the most vulnerable? And to what extent are we now a more “socially equitable” nation? The paper provides a background about the 2016 currency devaluation decision, presents a conceptual framework explaining the relation between different economic ideologies and the impact on the vulnerable groups in society, elaborates on why we should seek social justice in Egypt, and then finally examines and assesses some of the government’s efforts in trying to alleviate hardships, including the Takaful and Karama Program, the Amman certificate, and the impact on the pay scale of government employees. Some of the recommendations made by the paper include: the need to apply true conditionality in the claimed “Conditional Cash Transfer Programs”, to re-consider government employees’ compensation, and to re-allocate national resources to what matters in a more transparent manner.

Multi-objective Programming and Social Welfare Analysis of Rural–urban Land Conversion Decision-making

Rural-urban land conversion is an inevitable phenomenon in urbanization arid industrialization. And the decision-making issue about this conversion is multi-objective because the social decision maker （the whole of central government and local authority） has to integrate the requirements of different interest groups （rural collective economic organizations, peasants, urban land users and the ones affected indirectly） and harmonize the sub-objects （economic, social and ecological outcomes） of this land allocation process. This paper established a multi-objective programming model for rural-urban land conversion decision-making and made some social welfare analysis correspondingly. Result shows that the general object of rural-urban land conversion decision-making is to reach the optimal level of social welfare in a certain state of resources allocation, while the preference of social decision makers and the value judgment of interest groups are two crucial factors which determine the realization of the rural-urban land conversion decision-making objects.

Visualizing Need: Using Data Visualization as a Decision Support Tool in the Formulation of Social Policy

International social work is facing an exponentially growing number of critical challenges in developing nations in meeting essential social needs as well as the distribution of material goods, social and economic resources and the provision, and effective services delivery to populations of need. There is a need to respond rapidly to populations in need and adapt to quickly changing socio-economic conditions. However, the resources needed to evaluate data and make effective decisions to provide support are often limited by the availability of trained data analysts who can interpret statistical findings and make relevant service delivery decisions for such communities of need. Modern computing technology shows promise of providing a graphical evaluation approach to enriching understanding of the available information. Thereby, the need to make critical decisions is augmented for those decision-makers that are working most closely with marginalized groups. A recent research effort undertaken by the Adventist Development and Relief Agency (ADRA) sought to provide administrators and policy-makers with information regarding the associations between social capital, economic development, and food security in the mountain region of Perú. Survey data collection and descriptive statistical analysis were used to provide information on the relationship between socio-economic development services and the emergence of social capital needed to develop effective human self-support systems. This paper demonstrates how to provide a graphical interface between areas of economic need and development initiatives. A visual exploration of data patterns would serve to inform human service decision-makers as they develop policies and programs. Visualization of data helps to enrich meaning and understanding of core areas of population need. This enhanced information format can identify needs for social policy development and improve the delivery of critical services and resources. This paper will provide a conceptual argument for considering data visualization methods in the evaluation of significant needs for, at risk, international populations. The paper will also present a number of examples for improving data evaluation and the understanding of need through data visualization methods through widely available computing technology. Procedures for graphically representing data will be demonstrated using the Perú survey, and applications for social policy formulation will be discussed.

Impact of social relationship on firms' sharing reward program

In order to make strategic decision on firms’ sharing reward program( SRP), a nested Stackelberg game is developed. The sharing behavior among users and the rewarding strategy of firms are modeled. The optimal sharing bonus is worked out and the impact of social relationships among customers is discussed. The results show that the higher the bonus,the more efforts the inductor is willing to make to persuade the inductee into buying. In addition,the firms should take the social relationship into consideration when setting the optimal sharing bonus. If the social relationship is weak,there is no need to adopt the SRP. Otherwise,there are two ways to reward the inductors. Also,the stronger the social relationship,the fewer the sharing bonuses that should be offered to the inductors,and the higher the expected profits. As a result,it is reasonable for the firms to implement SRPs on the social media where users are familiar with each other.

Overseas Short-term Training Program for Chinese University Teacher Educators:Theoretical Basis and Course Design

Overseas three-month intra-university training program is rear in Yunnan,China.Using adult learning and social con-structivism as theoretical basis,the author,introduces the background of the program and the course design,highlighting the inten-tion for the program and similar programs.

Radio ＂Echo of Moscow＂ （Ekho Moskvy） as a Multimedia Project

The paper deals the popular news-talk radio station ＂Echo of Moscow＂ which is one of the most interesting and successful one in Moscow FM range. It provides thorough analysis of different previous and nowadays programs and web projects in comparison with main multimedia sphere trends. A particular attention is paid to ＂Echo of Moscow＂ web page as multimedia portal strongly packed with different functions such as its integration with social nets.

Web mining based on chaotic social evolutionary programming algorithm

With an aim to the fact that the K-means clustering algorithm usually ends in local optimization and is hard to harvest global optimization, a new web clustering method is presented based on the chaotic social evolutionary programming （CSEP） algorithm. This method brings up the manner of that a cognitive agent inherits a paradigm in clustering to enable the cognitive agent to acquire a chaotic mutation operator in the betrayal. As proven in the experiment, this method can not only effectively increase web clustering efficiency, but it can also practically improve the precision of web clustering.

Dynamic programming methodology for multi-criteria group decision-making under ordinal preferences

A method of minimizing rankings inconsistency is proposed for a decision-making problem with rankings of alternatives given by multiple decision makers according to multiple criteria. For each criteria, at first, the total inconsistency between the rankings of all alternatives for the group and the ones for every decision maker is defined after the decision maker weights in respect to the criteria are considered. Similarly, the total inconsistency between their final rankings for the group and the ones under every criteria is determined after the criteria weights are taken into account. Then two nonlinear integer programming models minimizing respectively the two total inconsistencies above are developed and then transformed to two dynamic programming models to obtain separately the rankings of all alternatives for the group with respect to each criteria and their final rankings. A supplier selection case illustrated the proposed method, and some discussions on the results verified its effectiveness. This work develops a new measurement of ordinal preferences’ inconsistency in multi-criteria group decision-making （MCGDM） and extends the cook-seiford social selection function to MCGDM considering weights of criteria and decision makers and can obtain unique ranking result.

A Contrastive Study of Canada and America

Canada is different from America in several aspects. Firstly, they have different experiences and form different values.Secondly, they adopt different social programs and have different social attitudes and realities. And finally, they have different economic developments. All these result in different national characters in the two countries.

Analysis of optimal referral reward programs for innovative offerings

A nested Stackelberg game among a provider of a product,a sender(existing customer),and a receiver(new customer)is developed to explore the optimal referral reward programs(RRPs)for innovative offerings.The results indicate that the provider should forsake RRPs and purely rely on customers'organic word-of-mouth communication under certain conditions.In particular,when the innovativeness of the referred product is extremely high,the provider should forsake RRPs completely,even though few customers will make organic referrals for the product.When the innovativeness is on other levels,the provider should make optimal RRPs decision depending on both the sender's persuasion effectiveness and the tie-strength between the two customers.Moreover,the optimal rewards increase with the innovativeness of the referred product when the provider opts to use RRPs.These results seem contrary to the existing empirical finding to some extent,and it is due to the high referral cost for making a successful referral for the high innovative offerings.

Sentiment Analysis with Tweets Behaviour in Twitter Streaming API

Twitter is a radiant platform with a quick and effective technique to analyze users’perceptions of activities on social media.Many researchers and industry experts show their attention to Twitter sentiment analysis to recognize the stakeholder group.The sentiment analysis needs an advanced level of approaches including adoption to encompass data sentiment analysis and various machine learning tools.An assessment of sentiment analysis in multiple fields that affect their elevations among the people in real-time by using Naive Bayes and Support Vector Machine(SVM).This paper focused on analysing the distinguished sentiment techniques in tweets behaviour datasets for various spheres such as healthcare,behaviour estimation,etc.In addition,the results in this work explore and validate the statistical machine learning classifiers that provide the accuracy percentages attained in terms of positive,negative and neutral tweets.In this work,we obligated Twitter Application Programming Interface(API)account and programmed in python for sentiment analysis approach for the computational measure of user’s perceptions that extract a massive number of tweets and provide market value to the Twitter account proprietor.To distinguish the results in terms of the performance evaluation,an error analysis investigates the features of various stakeholders comprising social media analytics researchers,Natural Language Processing(NLP)developers,engineering managers and experts involved to have a decision-making approach.

Spatial Quality of Social Housing for Seniors： Village of the Elderly in S^o Paulo （Brazil）

This paper presents the quality assessment of the built environment in the social housing for seniors ＂Village of the Elderly＂, located in the central area of Silo Paulo （Brazil） and it is the case study analyzed here. This multi-method study aimed to evaluate the quality of the built environment through the following indicators： community public facilities in the neighborhood, accessibility, safety and quality of housing. The results showed that ＂Village of the Elderly＂ was designed to house residents with income of up to three minimum wages, however, for lack of specific technical knowledge on human aging, some problems related to accessibility and safety of residents were neglected. The research contributes to studies on the quality of the ambience of constructed space and the results can support public policies, programs and projects of social housing for the elderly.