Miracle-dz/UniFAR-FTUs huggingface dataset:
When partners divorce: understanding consumers’ reactions to partnership termination in cause-related marketing programs

Abstract Cause-related marketing (CRM) is a pervasive, global marketing tactic used to aid consumer persuasion. While considerable academic research has been directed to understanding this practice and its impact on consumers, virtually nothing is known about the effect on consumers’ attitudes and purchase intentions when a sponsoring firm terminates a CRM partnership. To address this knowledge gap, two experiments with samples of adult North American consumers were conducted. Study 1’s findings suggest that the termination of a CRM partnership has a negative, direct effect on both brand perceptions and purchase intentions. Results also suggest that the impact is lessened (but not overcome) if the sponsoring firm switches its support to a new cause, regardless of the levels of fit between the brand and cause. In Study 2, when an altruistic reason was used to motivate the termination, consumers responded more positively when the decision was made solely by the sponsoring firm than when it was made mutually by the sponsoring firm and the cause. However, when the decision to terminate the partnership was motivated by an operational reason, consumers responded better when the decision was made mutually.
Module development and its effectiveness for improving the competencies of voluntary health workers in communicating safe complementary feeding to caregivers in Indonesia

Introduction: In Indonesia, most training modules for health paraprofessionals have been adapted from existing foreign modules without assessment. In addition, there have been few studies on training development for this group. We aimed to develop, using a systematic tool, implement and evaluate a training module to improve the competencies of voluntary health workers (cadres) in communicating safe complementary feeding practice to caregivers of young children in Indonesia. Methods: A mixed methods approach was used. A qualitative study employing in-depth interviews, focus group discussions, mini-workshops, documentary reviews and expert validation was used to develop the training module, following a systematic approach. The module’s effectiveness for improving the health workers’ competencies was evaluated using a quantitative study with a non-equivalent pre-test and post-test control group design that included 70 (intervention group) and 68 (comparison group) voluntary health workers from a peri-urban district. Changes in the workers’ cognitive, affective and psychomotor competencies were tested before and after attending a 3-day training module (intervention group) or a half-day event (comparison group). Results: A 24-hour learning session module on communicating safe complementary feeding was developed and used to train voluntary health workers. After the training, a significantly higher proportion of workers in the intervention group than in the comparison group were assessed as competent in the psychomotor and composite domains (psychomotor: 67.1% vs. 20.6%; composite: 74.3% vs. 36.8%; p<0.001). Conclusion: This systematically developed module was effective in improving the competencies of voluntary health workers regarding communicating safe complementary feeding practice to caregivers in Indonesia.
THE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGE A Review of Green ICT Readiness in the Insurance Industry in Developing Nations

, 2008). In all these definitions, the key issue is conservation of the environment by responsible use of ICTs. From a functional point of view, the manufacturing industry processes and the insurance processes are very different therefore it can be assumed that the motivation for adoption of green policy in manufacturing sector would be different from insurance sector. Insurance companies play a key role in risk management in any country. In Kenya for example, there are 51 insurance companies with USD 1.73 Billion premium and USD 4.66 Billion asset base (Association of Kenya Insurers, 2015). Being agents of risk management, the insurance companies can play a major role in environment management since whatever adversely affects the environment increases the risks hence raising claim chances. To effectively do this, the insurance companies themselves must be agents of environment conservation from within. This study sought to establish if there were any appropriate frameworks that could be used for adoption of green ICT in the insurance sector in developing nations, establish the impact of drivers leading to the adoption and how prepared the insurance industry was for green ICT adoption.
Learning Robot Task Planning Primitives by means of Long Short-Term Memory

This work is an attempt to create a robot task planner by exploiting increasingly popular Deep Neural Networks. The aim is to learn how to achieve a robotic manipulation task by selecting the appropriate action to perform, along with its arguments, by observing the robot workspace. This work proposes a model based on Long Short-Term Memory, that reaches up to 97% of accuracy on action prediction, along with an expert policy that is able to generate an artificial dataset used for training.
An experimental study of Wind Data of a Wind Farm in Kosovo

In Kosovo, 97% of energy is generated from lignite-fired power plants. Apart from the energy generation, the combustion process emits around 8000 ktCO2/yr and 1.5 Mt of ash in the form of the fly and bottom ash. In Kosovo there is no MWh power generated from wind energy, i.e. this energy source is not utilized. Here, a proposed project for one location in Kosovo has been analysed in detail with the aim of installing the thirteen wind generators. The wind farm has successfully passed the testing period as foreseen by law. The wind farm is located near to Kamenica region. The wind measurements are carried out by the potential investor, wind speed at the installed site gives very promising wind data. In this issue, we have given different of power given in different highness of the wind turbine. After all, we conclude that based on the average wind speed from a wind turbine (60 m highness) we will have 1015.371kW which turns out to be satisfactory when it is multiplied by the number of turbines to be placed (thirteen) equal to 13,199 MWh, that will significantly reduce energy consumption from fossil fuels. Streszczenie. Przedstawiono projekt farmy wiatrowej zlokalizowanej w Kosowie (w miejscowości Kamenica) wykorzystującej trzynaście generatorów. Analizowano wwpływ wysokości trubin wiatrowych – wybrano wysokość 60 m. Uzyskano moc rzędu 1015 kW. System trzynastu turbin generuje energię rzędu 13 MWh. Analiza eksperymentalna danych na przykładzie farmy wiatrowej w Kosowie
CUSTOMER PERCEPTIONS OF HOSPITALITY SERVICES AT SOME HERITAGE SITES IN EGYPT

This research investigates customer perceptions of hospitality services at three main Egyptian heritage sites – Cairo, Luxor and Minia. The research evaluates service quality of hospitality services from the customer perspective in order to develop quality services that meet customer expectations and achieve customer satisfaction. A questionnaire, developed using SERVQUAL instrument, was distributed to customers in hotels around the three heritage sites. The findings showed a gap between customer expectations and perceptions of hospitality services, reflecting poor quality services and dissatisfaction with these services. The factors of quality hospitality service at these three Egyptian sites were identified to help hospitality managers and decision makers to provide their customers with appropriate service quality that meets international standards and also meet customer expectations.
Antijamming Game Framework for Secure State Estimation in Power Systems

In this paper, we investigate the secure state estimation (SSE) problem in power systems, where the physical system is measured by meters and mainly focuses on the measurements sent to a remote estimator via wireless networks faced with jamming attacks. Malicious attacks on the transmission paths block the data transmission and deteriorate the performance of estimation. Various works have been proposed to cope with the transmission failure. Few of them have considered the case that a smart attacker could adjust strategies according to the defensive methods with advanced communication techniques. We propose the antijamming game framework for SSE. Under this framework, defensive path selection (DPS) is proposed based on multiagent reinforcement learning to make optimal path selection against the intelligent attacker and improve the transmission performance for SSE. The effectiveness of the proposed method is theoretically proved to improve the robustness of estimation and the capability of DPS is analyzed.
The Influence of Budget Participation, Budget Goals Clarity and Internal Control Systems Implementation on Local Government Performance

This study aims to examine the influence of budget participation, clarity of budget goals, and internal control systems on the performance of local government. This research was conducted on 31 regional work units in Karawang Regency. The study used a verification method with a quantitative approach. Data was collected through questionnaires instrument. The study employed path analysis. The results indicate that budget participation, budget goals clarity and the internal control system implementation simultaneously have a positive influence on the Government of Karawang Regency performance with the contribution of the influence that is equal to 73.4%. Partially, budgetary participation has a positive effect with a contribution of 24.3% influence, budget goals clarity has a positive effect on the contribution of the influence of 20.3%, and the control system implementation has a positive effect on the contribution of the influence of 28.8% on the Government of Karawang Regency.
Estudo de Correlações dos Indicadores do SIMAP Competitivo

Esta pesquisa teve como objetivo identificar correlações entre os indicadores do sistema de benchmarking SIMAP Competitivo. Para tanto, coletou-se os demonstrativos contábeis de 157 empresas participantes de economia brasileira, sendo estes: Serviços de Transporte e Logística, Energia Elétrica, Construção Civil, Materiais de Construção e Decoração, e por fim, Metalurgia e Siderurgia. Estes 4 setores foram escolhidos por representar juntos mais da metade das empresas listadas na Bolsa de Valores de São Paulo, no ano de 2016. Para isso, utilizou-se os softwares R e RStudio para cálculo da força de correlação entre 34 indicadores utilizados pelo SIMAP Competitivo. Assim, foi possível identificar os comportamentos das empresas analisadas e as práticas específicas por setor. O SIMAP Competitivo se mostrou um sistema adequado para análise de comportamento de setores, o que demonstra que os indicadores utilizados podem ser utilizados para benchmarking entre empresas de um mesmo setor, ou mesmo identificar setores benchmark a partir dos resultados financeiros, econômicos e de produtividade.
Sustainability Is Not Enough: We Need Regenerative Cultures

Sustainability alone is not an adequate goal. The word sustainability itself is inadequate, as it does not tell us what we are actually trying to sustain. In 2005, after spending two years working on my doctoral thesis on design for sustainability, I began to realize that what we are actually trying to sustain is the underlying pattern of health, resilience and adaptability that maintain this planet in a condition where life as a whole can flourish. Design for sustainability is, ultimately, design for human and planetary health (Wahl, 2006b).
Analisis Performansi Raspberry-Pi/Aptus Box Sebagai Portable Server MOOCS

Dewasa ini pemanfaatan e-learning sebagai sarana pembelajaran telah sangat massif. Berkembangnya internet memberikan berbagai alternatif sarana pembelajaran bagi setiap orang. Namun sayangnya kemudahan ini tidak dapat dinikmati oleh masyarakat di area terpencil yang tidak memiliki akses internet. Salah satu cara agar masyarakat tersebut tetap dapat menikmati pembelajaran melalui e-learning adalah menggunakan portable server. Penelitian ini mencoba menganalisa penggunaan Raspberry Pi, sebuah minicomputer, sebagai portable server untuk e-learning.
Improving RF Localization Through Measurement and Manipulation of the Channel Impulse Response

Friday, April 14, 2017 9:00 – 11:00 am 3725 Beyster Building ABSTRACT: For over twenty years, global navigation satellite systems like GPS have provided an invaluable navigation, tracking, and time synchronization service that is used by people, wildlife, and machinery. Unfortunately, the coverage and accuracy of GPS is diminished or lost when brought indoors since GPS signals experience attenuation and distortion after passing through and reflecting off of building materials. This disparity in coverage coupled with growing demands for indoor positioning, navigation, and tracking has led to a plethora of research in localization technologies. To date, however, no single system has emerged as a clear solution to the indoor localization and navigation problem because the myriad of potential applications have widely varying performance requirements and design constraints that no system satisfies. Fortunately, recently-introduced commercial ultra-wideband RF hardware offers excellent ranging accuracy in difficult indoor settings, but these systems lack the robustness and simplicity needed for many indoor applications. We claim that an asymmetric design that separates transmit and receive functions can enable many of the envisioned applications not currently realizable with an integrated design. This separation of functionality allows for a flexible architecture which is more robust to the in-band interference and heavy multipath commonly found in indoor environments.
Computer Aided Design of Civil Structures – Topology Optimization in Statics and Dynamics

The objective of the paper is structural topology optimization in statics and dynamics. The topology is defined on the base of the material distribution in elements of the structure. The optimal topology design is defined as an optimization problem. The objective is the maximum stiffness of the structure in statics and maximal natural frequency in dynamics of the structure. The constraints of the optimization problem are related to the mass of the structure and to the loading and boundary conditions of the structure. The evolutionary method - genetic algorithm is applied for optimization problem solution. Examples on optimal topology of structures in statics and dynamics are presented. The obtained results are comparable with results based on experience of civil engineers. The structural topology optimization does not use experience from structural evolution and it is applicable for design of new structures – prototypes.
Applications Research of Improved Genetic Algorithm in Image Denoising

In the process of generation, transmission and recording, image signals are often disturbed by various noises, which seriously affect the visual effect of images. Noise is the main factor affecting image quality, which has a great influence on the subsequent processing of images. Therefore, it is of great practical significance to adopt appropriate methods to reduce noise. In this paper, several common methods of image noise removal are introduced, and the denoising quality evaluation model is given. The traditional genetic algorithm has the characteristics of slow convergence and big relevant error in image denoising. We improved the genetic algorithm and applied it into image denoising. Experimental results show that the improved genetic algorithm has faster convergence speed and smaller relative error, which improves the efficiency and quality of image denoising.
Lessons from India on the Role of Institutions in Spectrum Trading

Mobile phones have had one of the fastest adoption rates for any technology globally. Mobile services and mobile broadband have contributed to the economic growth and are increasingly seen as vehicles for development, especially in developing countries. As is the trend globally, spectrum has become a critical resource for further growth in the sector, especially with greater demand for data. The environment and hence the context of spectrum management varies significantly across developed and developing countries. Spectrum management in most developed countries is driven by the need to make the telecom sectors competitive and exploit technological advances for innovative cutting-edge services. The citizens and enterprises have a high propensity to pay. This is in an environment where there is near universal coverage of high-end services, both on wired and wireless infrastructure. On the other hand, in developing countries, wired infrastructure for broadband and backhaul services is very limited. In the wireless domain, supply side constraint of low spectrum availability prevails, as often institutional mechanisms for refarming, trading and sharing are inadequate. On the demand side, operators are obliged to serve large populations who are unable to migrate to newer technologies due to high cost of devices and services and lack of digital literacy in the population. The customers also have a lower propensity to pay, thus making it commercially demanding for operators to introduce new technologies. Most developing country leaderships also recognize that growth in broadband and economy is a twosided relationship. (.)
Beamforming in mimo systems

Beam forming method comprises the step of transmitting a training sequence from a transmitter arranged to use a set of beam-forming vector from the beamforming codebook. Receiving array using a combination codebook to obtain the channel state information from the received transmission, and uses the combined code book to obtain the preferred beamforming vector and preferred that the combined vector is. At least one preferred beam-forming vector is (a and, optionally, the preferred combination of the vector) is then transmitted back to the transmitting array.
ECCE 2018 VII International Conference Early Childhood Care and Education PSYCHOLOGICAL PREDICTORS OF ONLINE AND OFFLINE COMMUNICATION RULES IN ADOLESCENTS

From social psychology perspective, online communication allowing for more anonymity, impunity might be less polite, empathic and more aggressive than offline. Although cyberaggression is indeed rather frequent in adolescents, less is known about psychological factors of the difference between online and offline communication in different ages. Based on generation theory (Howe, Strauss, 1991), we use data from Russian population study of 1554 adolescents 12-17 years old, 736 youth 17-30 years old and 1105 parents of adolescents differentiating generations “X”, “Y” and “Z”. Participants appraised their compliance with communication rules online and offline, user activity and filled Buss-Perry Aggression Questionnaire. All but 12-13 years old also filled Interpersonal Reactivity Index and the Tolerance Index. Generation “Z” demonstrates higher online-offline difference in communication rules comparing to “X” and “Y”. For any generation higher level of empathic perspective taking and concern as well as ethnic tolerance predict higher respect for communication rules online. In “Z” higher readiness to follow communication rules online is also related to lower anger and personal distress, in “Y” – with lower hostility and in “X” – with higher social tolerance. However, after adjusting for readiness to follow communication rules offline, only ethnic tolerance remains significant predictor in any generations while anger and empathic perspective taking predict readiness in “Z”. User activity was weak negative predictor of readiness to follow communication rules online, however, after adjusting for offline behavior, it remained significant for “Z” only. Possible psychological factors are discussed. © 2018 Published by Future Academy www.FutureAcademy. org.UK
Marketing metrics, Big Data and the role of the marketing department

Marketing metrics are a way of proving the result of marketing efforts and ensure its relevance inside companies. Big Data can be an opportunity for marketing to gain even more importance since access to a greater volume of information makes possible to develop new metrics. The present paper verifies if this is a reality on marketing departments, if the department is involved in developing or reporting metrics, and in the use of Big Data. To achieve this goal, first, we develop premises from the literature so that, after, we can confront it with reality, captured by interviews with marketing practitioners that work on different economic sectors. We intend to present possibilities for future research and to foster discussion about the marketing department responsibility to present metrics about the results of its actions.
A max-min fuzzy approach for supplier selection and order allocation problem with transportation costs: Genetic algorithm

In this paper, we study a supplier selection and order allocation problem with in a multi-objective and fuzzy environment. Transportation costs and quantity discount are taken into account in the problem. We assume four common objectives as total costs, on-time delivery rate, defective rate, and purchasing value. We utilize a max-min approach such that the min-operator finds the fuzzy decision that simultaneously satisfies all the fuzzy objectives. Then the maximizing decision is determined to be the maximum degree of membership for the fuzzy decision. We use the non-linear S-shape membership functions to express the vague aspiration levels of the DM’s objective. According to the defined fuzzy membership functions and applying Bellman–Zadeh’s maximization principle, the fuzzy multi objective model is transformed into a single objective model. A genetic algorithm is applied to solve the multi objective fuzzy supplier selection and order allocation problem. Computational results are presented using numerical examples.
Vehicle routing algorithms based on a route reservation approach

Traffic congestion remains a serious problem in transportation networks. Widely used navigation systems can only react to the presence of traffic jams but not to prevent their creation. One of the possibilities to prevent congestion is to manage road traffic within the urban area. This work considers a route reservation approach with possibility to reroute a vehicle during a journey. This approach decomposes road segments into time-spatial slots and for every vehicle it makes the slots reservation for the corresponding route. Since the travel time in real networks cannot be determined precisely and can be considered as stochastic, we propose to use a rerouting procedure to minimize the traveling time. The experiments are carried out in microscopic simulation of a real-world traffic environment in the transportation network of Samara, Russia, using multi-agent transport simulation MATSim.