Miracle-dz/UniFAR-FTUs huggingface dataset:
Recovering the corporate brand through stakeholder co-creation.

Corporate brands may encounter failure or suffer crises due to their own actions or from the actions of others. Such crises weaken the brand not only in the eyes of its customers but also with its stakeholders. Actions therefore need to be taken to recover the corporate brand. Existing research on brand recovery concentrates on the brand/customer interaction but recent branding literature acknowledges the significance of customers and stakeholders in brand co-creation. Responding to several calls for further research, this study aims is to investigate corporate brand recovery from the perspective of stakeholder co-creation. Using multiple data sources, the conclusions from this study include the following. First, empirical evidence is provided for the importance of stakeholders in the corporate brand recovery process. Second, although corporate brand recovery shares some characteristics with re-branding, there is a strong emphasis on repairing trust. Third, recovery efforts extend beyond those identified previously to include core functions and tangible evidence. These finding provide a theoretical account of recovery processes brought about by stakeholder co-creation and offer an initial recovery framework for corporate brand managers.
Research on forecast method of railway passenger flow demand in pre-sale period

The railway demand scientific forecasting is a rapid response mechanism for the railway sector, rational layout train plan for achieving definitive dynamic adjustment, and the basis for carrying out revenue management. In the railway industry, with changes of the seasons, holidays, emergencies and strategic competitor (such as airline routes for a certain period of reduced discount), passenger flow demand changes. Based on actual demand, this paper proposes an adaptive and flexible method of the railway passenger flow forecasting, which can be adapted to the above factors.
Anlise da implantao do sistema de atendimento pr-hospitalar mvel em cinco capitais brasileiras

Abstract The article presents a description and analysis of the implementation of a pre-hospital treat-ment system (SAMU) as part of the research project Diagnostic Analysis of the Implemen-tation of a National Policy for the Reduction of Violence and Accidents . Implementation and organization of the SAMU service, together with the related materials, human resources, and equipment, was studied in five Brazilian State capitals with high morbidity and mortality rates from external causes: Curitiba (Parana), Recife (Pernambuco), Brasilia (Federal District), Rio de Janeiro, and Manaus (Amazonas). The study in-volved four phases, each developing exploratory and analytical cycles, combined with fieldwork, triangulating quantitative and qualitative data. Implementation of the pre-hospital treatment system is now a key health sector asset. Further necessary steps include: comprehensive legisla-tion covering vehicles, personnel, and equip-ment; closer networking between mobile units and healthcare facilities; focus on information generated in this sub-system, thus facilitating planning; and maintaining and upgrading high qualifications for SAMU crews. The service is of-ficially establishing, standardizing, and regulat-ing a sub-system that is crucial for saving lives.Prehospital Care; Emergencies; Prehospital Ser-vices
Digging for sanctuary: The garden as a contact sphere

The European ideal of connectivity across national borders is haunted by a dissolving of boundaries and categories. Public crises are carried into private spaces, generating an almost omnipresent anxiety exacerbated by various media. Almost omnipresent? Yes: for one space, the garden, tenaciously resists the maelstrom of late modernity, or appears to do so in reassuring ways. This article analyses how the multiple European crises are addressed in and by recent mediatisations of gardening. Drawing on selected Anglophone gardening programmes, I argue that the mediascape of gardening represents a relational ‘contact sphere’ where Otherness is negotiated. Focusing on regaining a sense of control and autarky, infotainment programmes on gardening have grown into interactive platforms which disseminate images and practices which contribute to a sustainable vision of Europe, while addressing seemingly uncontrollable problems of change, identity and emotion, threats to human health, and non-transparent food production.
Millennial zoological mystery of medieval Persian scientists

Great medieval scientist-polymath Abu Rayhan Al-Beruni (973–1050) wrote in his book “Pharmacognosy” about some kind of “worms” inhabiting willows in Azerbaijan and Southern Iran and used by native people for producing of a red dye. It was unclear during one thousand years which organisms Al-Beruni noted as those dye-producing “worms”. Some modern authors even suggested that the relevant medieval text was partly erroneous. To the contrary, in the present paper we, for the first time, consider some species of the felt scale insects (Coccinea: Eriococcidae) as the organisms, which have probably been used for the production of the red dye in the medieval countries of Western and Central Asia. These insects are several species from two closely related genera Acanthococcus Signoret, 1875 and Gossyparia Signo­ret, 1875. The review of biological characters, identification key, new figures and colour photographs are provided for the species of Acanthococcus and Gossyparia associated with Salix spp. in the Asiatic Region. Acanthococcus turanicus Matesova, 1967, syn. nov. is placed in synonymy with A. salicis (Borchsenius, 1938), and A. altaicus Matesova, 1967, syn. nov. is placed in synonymy with A. spiraeae Borchsenius, 1949. Earlier discovered synonymy of A. melnikensis (Hodgson et Trencheva, 2008) with A. aceris Signoret, 1875 is discussed. Some other dye-producing scale insects and their pigments are also briefly considered.
EXIT Chart-Aided Design of LDPC Codes for Self-Coherent Detection with Turbo Equalizer for Optical Fiber Short-Reach Transmissions

This paper proposed an iterative soft interference canceller (IC) referred to as turbo equalizer for the self-coherent detection, and extrinsic information transfer (EXIT) chart based irregular low density parity check (LDPC) code optimization for the turbo equalizer in optical fiber short-reach transmissions. The self-coherent detection system is capable of linear demodulation by a single photodiode receiver. However, the selfcoherent detection suffers from the interference induced by signal-signal beat components, and the suppression of the interference is a vital goal of self-coherent detection. For improving the error-free signal detection performance of the self-coherent detection, we proposed an iterative soft IC with the aid of forward error correction (FEC) decoder. Furthermore, typical FEC code is no longer appropriate for the iterative detection of the turbo equalizer. Therefore, we designed an appropriate LDPC code by using EXIT chart aided code design. The validity of the proposed turbo equalizer with the appropriate LDPC is confirmed by computer simulations. key words: self-coherent detection, turbo equalizer, LDPC, EXIT chart, optical fiber short-reach transmissions
Assessment of the Value of Ecosystem Services

To some extent, land use project implementation influences ecosystem. Although these projects may seem inconsequential to the total ability of the biosphere’s functioning potential, cumulatively they are causing environmental degradation, thus imposing some environmental costs on land use projects. In order to take into account the impact of environmental degradation in land use project costs, our ecosystem service evaluation model is established to assess environmental costs and obtain the true economic costs of land use projects. The ecosystem of the land use project region is divided into 7 types. Furthermore, the ecosystem services are classified into 6 parts. We evaluate ecosystem services of various land use types and obtain the total value by adding these ecosystem services. The environmental costs of land use projects can be calculated as the absolute value that ecosystem services before and after the land use project implementation minus each other. The true economic costs is the sum of environmental costs and build costs.Last, we studied the effect of time on the model. Take the Three Gorges Reservoir Area (Chongqing Section) as an example. We find that the value of ecological services will decrease over time in a certain period of time, and will also increase the real economic cost of land use projects.
The society’s perceptions on the use of fintech services in sharia financial institutions

In the development of industrial revolution 4.0, sharia financial institutions keep improving their product innovation through the use of financial technology (fintech). Through development and innovation, society is expected to keep up to date with the current financial services. This research aims to investigate how the interest in using sharia services affected by several factors, such as convenience, benefits, attitude, and suitability. This research uses a descriptive quantitative method through multi-linear regression analysis. The population of the research is Jepara people who use sharia fintech services. The sample is selected through incidental sampling. The research findings reveal that convenience, attitude, and benefit affect sharia fintech users' perceptions of the use of services provided by sharia financial institutions. Meanwhile, trust and suitability do not affect users' perceptions.
Mobility in wireless sensor networks : advantages, limitations and effects

The primary aim of this thesis is to study the benefits and hmitations of using a mobile base station for data gathering in wireless sensor networks. The case of a single mobile base station and mobile relays are considered. A cluster-based algorithm to determine the trajectory of a mobile base station for data gathering within a specified delay time is presented. The proposed algorithm aims for an equal number of sensors in each cluster in order to achieve load balance among the cluster heads. It is shown that there is a tradeoff between data-gathering delay and balancing energy consumption among sensor nodes. An analytical solution to the problem is provided in terms of the speed of the mobile base station. Simulation is performed to evaluate the performance of the proposed algorithm against the static case and to evaluate the distribution of energy consumption among the cluster heads. It is demonstrated that the use of clustering with a mobile base station can improve the network lifetime and that the proposed algorithm balances energy consumption among cluster heads. The effect of the base station velocity on the number of packet losses is studied and highlights the limitation of using a mobile base station for a large-scale network. We consider a scenario where a number of mobile relays roam through the sensing field and have limited energy resources that cannot reach each other directly. A routing scheme based on the multipath protocol is proposed, and explores how the number of paths and spread of neighbour nodes used by the mobile relays to communicate affects the network overhead. We introduce the idea of allowing the source mobile relay to cache multiple routes to the destination through its neighbour nodes in order to provide redundant paths to destination. An analytical model of network overhead is developed and verified by simulation. It is shown that the desirable number of routes is dependent on the velocity of the mobile relays. In most cases the network overhead is minimized when the source mobile relay caches six paths via appropriately distributed neighbours at the destination. A new technique for estimating routing-path hop count is also proposed. An analytical model is provided to estimate the hop count between source-destination pairs in a wireless network with an arbitrary node degree when the network nodes are uniformly distributed in the sensing field. The proposed model is a significant improvement over existing models, which do not correctly address the low-node density situation.
Survey of Various Meta-Heuristic Algorithms for Parallel Job Scheduling

This paper presents an overview of various nature-inspired optimization algorithms for scheduling problems. Nature is a vast source of inspiration to solve complex problems (NP-hard) in computer science as it shows extremely diverse, dynamic, robust, complex and fascinating techniques. It helps to find the optimal solution in order to solve the problem keeping perfect balance among its components. Nature inspired algorithms are meta-heuristics which are motivated by the nature in order to solve various optimization problems. For the past decades, great research efforts has been concentrated on these techniques. The surprising results increase the scope and practicality of these meta-heuristic techniques exploring new areas of application and more opportunities in computing. Keywords: Parallel computing, multi-objective optimization, scheduling, co-allocation, multi-clusters, meta-heuristics
Can Big Data Defeat Traditional Credit Rating?

This paper examines the impact of large-scale alternative data, or big data, on predicting consumer loan delinquency for a traditional lender. Based on a unique proprietary dataset containing 700 million individuals and 20,000 variables, we construct a big data credit score by applying machine learning techniques to deal with high dimensionality and massive missing values. We find that incorporating the big data credit score improves the lender’s accuracy in predicting a borrower’s delinquency likelihood by 22.6%. We identify two possible ways through which big data contributes: providing more information for those without public credit records and correcting financial misreporting.
Customer Satisfaction as Intervening Between Use Automatic Teller Machine (ATM), Internet Banking and Quality of Loyalty (Case in Indonesia)

This research aims to determine the effect of customer satisfaction as an intervening variable between utilization of Automatic Teller Machine (ATM) variable, Internet Banking variable and service quality variable to variable customer loyalty at PT. Bank Mandiri Tbk in Batam city, Indonesia. This research is collecting the data in the form of primary and secondary data. Collecting the data in this study using questionnaires in the form of respondents Involved in this research were 187 customers. The number is obtained by using the formula Slovin with random sampling. The collected the data were processed and Analyzed by using SPSS and SEM for normality, regression coefficient, and determination. From the result show that the variable utilization ATM, Internet Banking and service quality affect to customer satisfaction has 83%. That is the service quality variables of the most dominant influence on customer satisfaction and customer loyalty.
The Effect of Employee Motivation on Involvement, Commitment, and Job Satisfaction (Study of Employees of the State Electricity Company, Kupang Region, East Nusa Tenggara Province, Indonesia)

This research is motivated by the contradictions of thought contained in motivational theory, and empirical findings of previous research regarding policies on the development and utilization of human resources that can improve job satisfaction. Analysis techniques, using generalized structured component analysis (GSCA). Sample data were 154 respondents as employees at the Kupang State Electricity Company, East Nusa Tenggara Province, Indonesia . This study aims to examine and explain the effect of employee motivation on involvement, commitment, and job satisfaction. Test and explain the influence of involvement on commitment, and job satisfation. Test and explain the influence of commitment to job satisfation.This study found that employee motivation has a significant positive effect on involvement, commitment, and job satisfaction. Involvement has a significant positive effect on commitment, and job satisfaction. Commitment has a significant positive effect on job satisfaction. This study concluded that employee motivation can determine involvement, commitment, and job satisfaction. Company management and labor regulators can examine variables of employee motivation, involvement, commitment, and job satisfaction, to make policies for the development and utilization of human resources that can increase job satisfaction for workers in order to achieve organizational or corporate goals. Keywords : Employee Motivation, Involvement, Commitment, and Job Satisfaction. DOI : 10.7176/EJBM/11-15-11 Publication date :May 31 st 2019
Methods of developing a competitive strategy of the agricultural enterprise

This article examines the features of the use of various strategies, as the basis for creating a competitive advantage of an agribusiness with stable positions both for entry and for keeping a high level during various financial changes in a market economy. Developed or selected strategy should be based on a comprehensive analysis of the business with strengths and weaknesses. The distinction between the strengths and weaknesses of a business, and accordingly the grouping of its features into advantages and disadvantages, allows them to be more accurately taken into account when choosing a strategy that provides competitive advantages. The reasons for the poor viability of various business aspects are the lack of development and the validity of strategies that reduce both the competitiveness and profitability of various enterprises. The given structure of strategies and their correct modernization in business will make it possible to enhance the stability of the presence of an enterprise afloat of financial success. Competitive advantages of a business are the advantages manifested in the position of the firm in the market, which is more advantageous in relation to competitors and is achieved using methods and tools of strategic planning that take into account the characteristics of small business.
Continuance Intention to Third-Party Mobile Payment Usage: An Extended Theory of Planned Behavior Perspective

At present, China has become the world’s largest mobile payment market, and the mobile payment has penetrated into every aspect of people’s lives. Mobile payment is a service that allows users to use their mobile terminals (usually mobile phones) to pay for goods or services they consume. The mobile payment giant represented by Alipay and WeChat has launched fierce commercial competition in this industry. Analysis and discussions of end users’ continued use intention of mobile payment are of great importance for mobile payment companies to maintain existing markets and expand into new markets. Therefore, this study adopted an extended planned behavior theory to explore the influence of perceived convenience, risk perception and attitude of users on the behavioral intention of continuous use. This paper collected the data of 300 Alipay and WeChat users in China through questionnaire survey. Structural equation model was used to verify the proposed hypotheses. The results indicated that perceived convenience has positive effects on users’ attitude and their continued use intention. Risk perception has negative impacts on users’ attitude and the intention of continuous use. Furthermore, users’ attitude has a positive effect on the continued use intention. Finally, based on the analysis results, this paper discussed some policy implications on how to improve users’ continuous use behavior.
The psychosocial impact of breast cancer diagnosis and treatment in Black and South Asian women

Breast cancer is the most common form of cancer in women of all ethnic groups. The diagnosis and treatment of the disease can be challenging and distressing for any individual. Research in this area has documented a range of physical, psychological and social consequences. However, very little work within the existing literature captures the experiences of Black and Minority Ethnic (BME) women, especially in the UK. The limited available research, based on American studies, show that while similarities in White and BME women’s breast cancer experiences exist, there are also aspects that are unique and specific to BME women, which are influenced by socio-cultural norms, behaviours and beliefs. Therefore, the aim of this research was to explore the psychosocial impact of breast cancer diagnosis and treatment in British Black and South Asian women. To research this area, a qualitatively driven mixed method approach was adopted. Four studies were undertaken, 3 qualitative and 1 quantitative. The first study was exploratory in nature, in which semi-structured one-to-one interviews were carried out with 11 Black and 11 South Asian women. The findings of this study informed the subsequent studies, the second of which consisted of focus group interviews with 10 Black and 10 South Asian women to explore the ways in which breast cancer experiences are managed. The third study involved interviews with 5 South Asian Indian, Gujarati-speaking women (with limited English proficiency). The findings from these studies show that psychosocial and cultural factors (such as support, appearance concerns, healthcare experiences, cultural beliefs about cancer, understanding of cancer and language barriers) play an important role in shaping BME women’s experiences of breast cancer. These findings informed the development of the final questionnaire study. This study investigated the psychosocial impact of breast cancer and aimed to compare breast cancer experiences between White, Black and South Asian women. A total of 173 women participated (80 White, 40 Black and 53 South Asian). The results from this study show that psychological distress, social support and receiving chemotherapy treatment are associated with quality of life. Furthermore, similarities and differences in Black, South Asian and White women’s breast cancer experiences (in relation to psychological distress, quality of life, control beliefs (pertaining to cancer), body image concerns and sources of support) are evident. The findings from this research highlight important implications for policy makers, healthcare professionals and researchers to enhance awareness and understanding, and to ensure the provision of culturally competent care and support to future breast cancer patients.
Design IoT Supported User Interventions for Sustainable Washing Usage

Nowadays, the increasing populations and the higher demands of human’s life are creating a high pressure on the environment. Laundry as a routine for all the families, requires a large number of resources especially with regards to its water and energy consumption. With the innovation in both the business model and IoT technology, HOMIE is currently working on making positive impact on the environment with their "Pay-per-use" smart washing machine. Even though the result shows it is effective, according to the research, users’ behavior change could assist in saving even more resources. Therefore this project is established to explore the IoT supported interventions to stimulate sustainable user behavior in the washing process. The main outcome of the project is a set of IoT supported interventions based on the washing machine, the machine interface and mobile application to influence users on decisions during the laundry process, to spur sustainable choices and foster sustainable washing habits.