Miracle-dz/UniFAR-FTUs huggingface dataset:
Emergent synthetic approach for management of complexity in production systems

Abstract Industry 4.0 gives guidelines to drive production to overcome the consequences of the 2008 crisis in the manufacturing sector by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of the Emergent Synthesis approach. Specifically, a Class III synthesis problem with reference to tool inventory management in a complex manufacturing environment is addressed. Such complex environment is proved to be affected by significant non-random uncertainty involving tool delivery time fluctuations and unpredictable tool demand. To deal with the complexity of the manufacturing environment, this paper presents bounded rationality as a characteristic of agents. The purpose of the implemented multi-agent manufacturing model is to manage the uncertainty in the perception, action and inner structure of the manufacturing system by introducing bounded rationality in agent characteristics and the probability–possibility transformation of historical data. The applicability and efficiency of the developed multi-agent manufacturing model are investigated in a real industrial case study. The results indicate that the complexity of a manufacturing system can be studied and solved as Class III synthesis problem and it is helpful to integrate bounded-rational agents in a multi-agent system.
INFLUENCE FACTORS OF REGIONAL HOUSEHOLD INCOME

The sustained economic growth in Romania during the period 2000-2008 was not accompanied by a regional convergence of the living standards. Specific factors, such as the persistence of regional specialization of employment and the dominance of subsistence households in rural areas still shape the regional disparities in economic performance. The economic crisis determined a decrease in the average household income, while the impact was unequally distributed by regions. The paper aims at measuring the cross-regional variation of the household income at NUTS2 level. In order to identify the specific factors which have mostly influenced the income changes, panel estimation is used.
Bayesian reasoning or heuristics ? The effect of time pressure

Classic economic theories assume that agents make decisions under the beliefs formulated through Bayes’ theorem. However, literature in behavioural economics found that agents used various heuristics to form beliefs. What strategy do agents truly use in Bayesian tasks and what triggers decision makers to change their behaviour? This thesis tested the effect of time limitation on the behaviour of decision makers in Bayesian tasks. We found time pressure decreases the use of Bayesian reasoning and triggered decision makers to switch to the quicker but less accurate heuristics as decision rule. However, the switch did not decrease the average accuracy in the Bayesian tasks due to the low number of Bayesian subject. Author J.P.J. van Gangelen Student Number 511715jg Supervisor Y. Xu First reader Dr. T. Wang Date August 18, 2019 The views stated in this thesis are those of the author and not necessarily those of Erasmus School of Economics or Erasmus University Rotterdam
Matching technique of image extraction and machine learning based on face recognition

In order to design a kind of new technology used for feature extraction, a matching technique of image extraction and machine learning based on face recognition is proposed. As a biometric identification technology, human face recognition involves many fields such as artificial intelligence, pattern recognition, computer vision, image processing and analysis, image coding, computer graphics and so on. Compared with other identification methods, face recognition technology has some advantages, so it has a wide range of applications. It is mainly used in the field of national security, military security and public security, intelligent access control, intelligent video surveillance and other fields. A video based real-time face recognition system is designed in this paper. In this system, we adopt video capture technology. At the same time, the location and size of the human face can be detected by the function provided by the visual library, and the human face image can be extracted. Finally, the device can achieve 5 frames per second of recognition speed, and fully meet the application requirements. The experiment results show that the recognition rate of facial expression is improved after illumination normalization. After the improved histogram equalization method is used, the recognition rate is higher than that of the traditional histogram equalization method. Based on the above finding, it is concluded that the information security technology based on face information recognition will be widely used and benefit mankind.
Assessing the Role of IPR Legislations for Technology, Innovation and Economic Growth in Indonesia

The World Intellectual Property Organization (WIPO) suggests adherence to international norms and legislations for protection of Intellectual Property Rights (IPR) and ensuring the technology, enhancement, innovation and economic growth of Indonesia. World Trade Organization (WTO), too, provides enough evidence that protection of IPR is directly linked with smooth technology transfer, innovation and economic growth. Indonesia has a great potential to innovate as both WTO and WIPO have allowed Indonesia to acquire high value-added goods through international trade from developed countries. This study examined how strongly IPR legislations in Indonesia have offered incentives to firms to undertake foreign investments and export goods to WTO member countries. Doubts were raised by respondents of the study over the role of IPRs and a few individual export firms. This study therefore aimed at investigating the impact of stronger IPR legislations on inward FDIs as well as on exports and to determine how this led to economic growth, innovation and technology transfer. The empirical evidence was collected and statistically analyzed through closed ended questionnaires from 120 export firms in Bandung and Jakarta. The findings revealed a positive relationship between IPR legislations and exports leading to innovation and economic growth; however, they failed to state any significant relationship with technology transfer, in spite of the fact that Indonesia has developed strong technical knowhow and robust IPR legislations, reducing the risk of copyright violations of patents and trademarks.
Lane Detection Using CNN-LSTM with Curve Fitting for Autonomous Driving

The efficient and accurate detection of lanes and the extraction of their key features are critical to autonomous driving. In this paper, a lane detection method that combines convolutional neural networks (CNN) and long-short-time memory neural networks (LSTM) is proposed to extract key features of lanes with great rapidity and accuracy. The main process is as follows: （ 1 ） The video is processed using a featurebased image processing method to extract key information of the lanes which is stored as a label. (2) The CNN model and the CNN-LSTM model are established respectively. （ 3 ） Training and testing are operated on above-mentioned models using the images and labels obtained in step(1). （ 4 ） Multi-platform verification of trained models is operated with entirely new videos. The results show that the detection rates of CNN model on training data and verification data are 94.9% and 91.2%, respectively, and the processing speed reaches up to 46.2 milliseconds per frame and its time consumption is only 5.59% of the traditional processing method; the detection rates of CNN-LSTM model are respectively 97.6% and 94.4%, and the processing speed achieves 54.7 milliseconds per frame which consumes only 6.61% time of the traditional method, and it also shows great performance on the micro platform.
Foundations for a Domain Specific Modeling Language Prototyping Environment A compositional approach

Developing in a domain specific environment introduces all the advantages of thinking at the same abstraction level of the problem under consideration. The gap between the real problem and the mental model is reduced with respect to the generic approach of using General Purpose Languages. In this article we consider that Domain Specific Modeling Languages (DSMLs) can be prototyped using a compositional and incremental approach. We reason over the fact that concepts presented in a DSML can be extended to a more precise semantics and that might be used in different domain environments. The combination of different concepts with an associated semantics allows achieving the desired expressiveness of the DSML.
Legal Support of Environmental Safety with Targeted and Non-Targeted Changes in the Genome of Living Organisms

the paper explores social relations for targeted and non-targeted changes in the genome of living organisms based on the analysis of the work of Russian and foreign geneticists, biochemists, biotechnologists, bioecologists, molecular biologists and microbiologists. Ecological risks from targeted (genetic research, biotechnology, genetic engineering, experimental mutagenesis, genomic selection, etc.) and non-targeted (under the influence of the consequences of the negative impact on the environment) genome changes that are subject to an account upon environmental regulation of corresponding public relations are identified. It is advisable to provide in the legal support of genomic research the incentives (tax incentives, credit incentives, public-private partnerships, etc.) of targeted change in the genome, which allows solving social, economic, food and environmental problems. To prevent environmental risks, it is worthwhile to provide a system of legal prohibitions and restrictions when conducting any genomic research, as well as legal measures, means and methods aimed at protecting the natural environment, ensuring human environmental safety and rational nature management. The expediency of organizing an ecological genetic monitoring and cytogenetic monitoring service to determine the mutagenic potential of the environment has been proved. The analysis of genet ic data is recommended to be used when making managerial decisions in the area under consideration.
Time-reversal of rank-one quantum strategyewline functions

The quantum strategy (or quantum combs) framework is a useful tool for reasoning about interactions among entities that process and exchange quantum information over the course of multiple turns. We prove a time-reversal property for a class of linear functions, defined on quantum strategy representations within this framework, that corresponds to the set of rank-one positive semidefinite operators on a certain space. This time-reversal property states that the maximum value obtained by such a function over all valid quantum strategies is also obtained when the direction of time for the function is reversed, despite the fact that the strategies themselves are generally not time reversible. An application of this fact is an alternative proof of a known relationship between the conditional minand max-entropy of bipartite quantum states, along with generalizations of this relationship.
VRCast: Mobile streaming of live 360-degree videos

Live streaming of immersive multimedia content, e.g., 360-degree videos, is getting popular due to the recent availability of commercial devices that support interacting with such content such as smart phones, tablets, and head-mounted displays. Unicast streaming of immersive content on cellular networks consumes substantial network resources and does not scale to large number of users. Multicast, on the other hand, offers a scalable solution but it introduces multiple challenges, which include handling user interactivity, ensuring smooth quality, supporting user mobility, conserving the energy of mobile receivers, and ensuring fairness among users. We propose a comprehensive solution for the problem of live streaming of 360-degree videos to mobile users, which we refer to as VRCast. VRCast is designed for cellular networks that support multicast, such as LTE. It divides the 360-degree video into tiles and then solves the complex live streaming problem in two steps to maximize the viewport quality of users and ensure a smooth quality within the same viewport while saving the energy of mobile devices and achieving fairness across users. Extensive trace driven simulation and real LTE testbed results show that VRCast outperforms the closest algorithms in the literature by wide margins across several performance metrics. For example, compared to the stateof-the-art, VRCast enhances the median frame quality by up to 22% and reduces the variation in the spatial quality by up to 53% and improves the energy saving for mobile devices by up to 250%.
CORRELATION BETWEEN PLANT DIVERSITY AND THE PHYSICOCHEMICAL PROPERTIES OF SOIL MICROBES

OBJECTIVE: To study the correlation between plant diversity and the physicochemical properties of soil microbes. METHODS: The determination of the chemical properties of farmland soil in the research area can be achieved by potentiometer method, automatic analyzer method, molybdenumantimony anti-colorimetric method and gas chamber method. Based on the determination results, the relationship between plant diversity and soil microbial physical and chemical properties in the national nature reserve in rocky desertification area can be analyzed. RESULTS: The physical and chemical properties of soil in different grades of rocky desertification were significantly different. With the increase of rocky desertification, soil physical and chemical properties showed a response process from degradation to improvement. Soil organic matter, nitrogen, capillary water holding capacity, bulk density and porosity were significantly correlated with plant diversity, which played an important role in improving soil physical and chemical properties and promoting the restoration of plant diversity. Factor analysis showed that plant diversity at different levels in national nature reserves had different correlation with soil physical and chemical factors at different levels. The ratio between the significant correlation factors and the number of plants showed that the diversity of trees was greater than that of shrubs, and the diversity of shrubs was greater than that of herbaceous plants. Tree plant diversity factor plays a leading role. CONCLUSION: With the proposed method the physicochemical properties of soil microbes can be effectively studied.
HaskellQuest: a game for teaching functional programming in Haskell

In this project, the prototype of a cross-platform serious text adventure game named HaskellQuest teaching functional programming in Haskell is implemented. With a background story happening in another world, the player explores different Haskell concepts and solves corresponding puzzles in HaskellQuest. During this process, the player’s choices at branching points will affect the development of the story; the player will edit his/her answer to each puzzle in a built-in code editor where only text in editable ranges can be changed; and the player’s answer will be evaluated in an environment connecting to GHC. Besides, just like in a Haskell book, every concept in HaskellQuest comes with examples and detailed explanation. This game sequentially covers the concepts of values, expressions, types, variables, lambda abstractions, function definitions, parametric polymorphism, lists, list comprehensions and recursive definitions. A user evaluation was carried out at the final stage of this project. According to the user evaluation, most players gave positive feedback and agreed that they have learned new knowledge about Haskell by playing HaskellQuest.
Infrastructure Investment in Indonesia: A Focus on Ports

This interdisciplinary collec� on—spanning the disciplines of engineering, law and planning—draws helpfully on a range of prac� cal and theore� cal perspec� ves. It is the collabora� ve eff ort of leading experts in the fi elds of infrastructure project ini� a� on and fi nancing, and is based on interna� onal research conducted by the University of Melbourne, Universitas Indonesia and Universitas Gadjah Mada.
HIV epidemic control among sex workers and their clients

Controlling the spread of HIV among hidden, high-risk populations such as sex workers and their clients is becoming increasingly important in the fight to end AIDS. In this thesis, we identify a number of sociological and structural factors which render general control strategies ineffective among these key populations, and instead call for focused testing and interventions. A bipartite network model of sexual contacts between female sex workers and male clients is motivated using historical data from a South African mining community. HIV transmission and progression is modelled as a stochastic process on the network, and the effect of various intervention strategies on HIV prevalence in the population is determined through numerical simulations. We find that preventative interventions are highly costeffective when targeted at female sex workers. For aggressive reduction in HIV prevalence, however, the client population cannot be ignored and treatment of both populations is necessary.
Customer Profitability Analysis Using Time-Driven Activity-Based Costing. Three Interventionist Case Studies.

Time-driven activity-based costing (TDABC) is a potential solution for profitability analysis, especially in industries with high overhead costs and a high number logistical or sales transactions, which would make the updating of a conventional ABC model costly. Despite a wide ranging TDABC literature, little is known how a company’s customer base influences the way profitability management systems are developed. Accordingly, this study draws on the typology provided by Lind and Strömsten (2006) and focuses on the use of TDABC for customer profitability analyses (CPA). Thus the purpose of this paper is to investigate how companies with different customer interfaces make use of time-driven activity-based costing in their customer profitability analyses. The paper is based on three interventionist case studies focusing on the use of modern costing in CPA. We build our investigation primarily on the interventionist method and participant observation. Our findings highlight the potential benefit for firms when modern costing connects with customer-focused operations. However, challenges include a lack of process time information as well as complexity of logistical processes. All in all, the successful use of sophisticated costing techniques requires functioning information systems and the ability to develop strong service delivery capabilities. We contribute to the scarce knowledge on the implementation and use of sophisticated costing methods in SMEs from a customer-oriented perspective.
Computer Science Teachers' Perceptions, Beliefs and Attitudes on Computational Thinking in Greece

The role of teachers is very important for the educational utilization of Computational Thinking (CT) and its integration in education. As with any innovation, CTs’ successful integration considerably depends on the perceptions, beliefs and attitudes of the teachers who will be asked to implement it. The study of these characteristics, concerning Computer Science (CS) teachers in Greece, was the objective of a survey research, theoretically supported by the Theory of Reasoned Action (TRA) and the Technology Acceptance Model (TAM). Findings reveal intense interest of participants on CT and their willingness to participate in professional development programs. Participants also reveal misconceptions of CT and negative attitudes toward its integration in education, that require further study and discussion. The researchers propose directions for the design and implementation of appropriate teachers training programs, while the findings can be exploited to support any effort of integrating CT in education.
Interactive comment on “Testing the truncation of travel times with StorAge Selection functions using deuterium and tritium as tracers” by Nicolas B. Rodriguez et al

The authors propose a very interesting piece of work that may shed light on the future joint use of deuterium and tritium isotopes on water age studies. The volume of the original analytical information is outstanding, the text is a little verbose but clear, the graphs are explicative and the rationale and methods are well explained although a relevant part is not described as it is under review in another journal.
Competition and Concentration in Banking Sector: Evidence from Bangladesh

Considering the significance of competition and concentration in pricing, efficiency, productivity and stability of banking sector, this paper has explored the competitive behavior and concentration level in the banking sector of Bangladesh considering 20 commercial banks for the period of 2004-2013. The level of competition has been tested using the Panzar and Rosse model while the level of concentration has been analyzed using concentration indices and the Herfindahl-Hirschman indices in terms of assets, loans, and deposits. The findings point to a non-concentrated market with monopolistic competition in the banking sector of Bangladesh. This paper contributes to the understanding of competition and concentration level in the banking sector of a developing country like Bangladesh along with important policy implications for economists, business strategists, bank management, regulators and other stakeholders.
Learning Fraud Detection from Big Data in Online Banking Transactions: A Systematic Literature Review

The implementation of fraud detection in online banking transactions on big data is one of the most important strategies applied by banks to protect their transactions and highly related to algorithms. In fact, it is not easy to successfully implement this strategy because it requires a huge investment and is influenced by complexity algorithms, training, and testing. The frauds bring fatal impact, such as destruction of the banking reputation, banking loss, and state financial loss. One target of the fraud perpetrators in banking is online banking transactions. Security has become a major issue in the online banking transaction. Furthermore, the research of fraud is switching to big data and turns out that online banking data are stored in the database operational and big data. This study aims to find out what kind of algorithms fraud detection for online banking transactions using a systematic literature review to the 25 relevant papers.
The Impact of Tax Risk Indicators on the Company's Market Capitalization

To date, empirical research is one of the reliable methods of scientific knowledge. It is aimed at collecting and analyzing data on the object of study. Its purpose is to identify and establish certain dependencies and patterns. All empirical studies are based on a clear scientific base and a rigorous organization process. In this regard, the organization’s tax risk management system, as one of the components of the financial management system, also serves as an indicator of the effectiveness of the corporate tax management system itself. Financial management is a complex process, which consists in the effective use of all available financial resources in the organization. In order for the company or enterprise to be stable, and its market value to increase over time, it is necessary to combine the efforts of all structural divisions of the company. These units should work as a single, well-coordinated mechanism, and only then the goals of the organization will be fully achieved.