Miracle-dz/UniFAR-FTUs huggingface dataset:
Task plan generation for intelligent machines

The issue of structural formulation of task plan generation for intelligent machines is investigated from the perspective of artificial intelligence. The knowledge base of the machines is represented by a relational database, and the task-planning process is modeled by a condition/event net. It is shown that the task plans generated by the formulation proposed are Petri net languages and that any task-planning strategy can be achieved by a supervisory task planner. The objective of such a structural formulation is to establish a formal framework for the task plan generation of intelligent machines in terms of concepts in mathematical logic. This framework can serve as the foundation of analytical task plan generation at different levels of the hierarchical structure of intelligent machines. In other words, the framework may play the role of domain space upon which various analytical design approaches, such as the probabilistic method and neural network computing, can be integrated to specify the task plan generation in both architectural and computational aspects. <<ETX>>
THE EFFECT OF PRICE, PRODUCT QUALITY, PROMOTION, SOCIAL FACTOR, BRAND IMAGE ON PURCHASE DECISION PROCESS OF LOOP PRODUCT ON YOUTH SEGMENT (CASE STUDY OF PT TELEKOMUNIKASI SELULAR)

This study aims to determine the influence of price, product quality, promotion, social factor, and brand image on purchase decision of Loop products either partially or simultaneously. This research was conducted with quantitative research using explanative method. Sample method in this research used non-probability sampling with purposive sampling technique. The sample in this research is Telkomsel Loop customer located in Jabodetabek area as many as 400 respondents. The data in this study was obtained from the spread of questionnaires using google docs. From 400 questionnaires distributed 377 questionnaires that can be used to process statistically. Data analysis in this research used multiple linear regression analysis with SPSS program. The results of this study found that price, product quality, promotion, social factor, and brand image have significant effect on purchase decision of Loop product either partially or simultaneously. Then the results of this study also showed that the brand image is the most dominant variable influence on customer purchasing decisions to Loop telkomsel products.
Genetic Algorithm Based LQR for Attitude Control of a Magnetically Actuated CubeSat

CubeSats are a popular means by which to conduct small-scale experiments in space. They are relatively inexpensive to build and launch. However, the limited size of CubeSats poses some design challenges. For CubeSat missions requiring active 3-axis attitude control, magnetorquers have been a popular means of actuation due to their small size, weight, and power requirements. However, 3-axis magnetic attitude control raises additional challenges with controllability. The present work aims to apply LQR based genetic algorithm tuned controller to the problem of magnetic actuation of a CubeSat. It is shown that genetic LQR is capable of outperforming a proportional-derivative-like angular rate, quaternion feedback control law and a constant gain linear quadratic regulator (LQR). The fidelity of the control algorithms are compared with respect to their responses to aerodynamic and gravity gradient disturbance torques.
Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

In this paper, we address the problem of identifying brain haemorrhage which is considered as a tedious task for radiologists, especially in the early stages of the haemorrhage. The problem is solved using a deep learning approach where a convolutional neural network (CNN), the well-known AlexNet neural network, and also a modified novel version of AlexNet with support vector machine (AlexNet-SVM) classifier are trained to classify the brain computer tomography (CT) images into haemorrhage or nonhaemorrhage images. The aim of employing the deep learning model is to address the primary question in medical image analysis and classification: can a sufficient fine-tuning of a pretrained model (transfer learning) eliminate the need of building a CNN from scratch? Moreover, this study also aims to investigate the advantages of using SVM as a classifier instead of a three-layer neural network. We apply the same classification task to three deep networks; one is created from scratch, another is a pretrained model that was fine-tuned to the brain CT haemorrhage classification task, and our modified novel AlexNet model which uses the SVM classifier. The three networks were trained using the same number of brain CT images available. The experiments show that the transfer of knowledge from natural images to medical images classification is possible. In addition, our results proved that the proposed modified pretrained model “AlexNet-SVM” can outperform a convolutional neural network created from scratch and the original AlexNet in identifying the brain haemorrhage.
Business cycles and animal spirits in a cash-in-advance economy: the role of the intertemporal elasticity of substitution revisited

This note examines the dynamical properties of a one-sector cash-in-advance constraint model with constant returns to scale. It is shown that, in opposition to available results, indeterminacy occurs for values of the intertemporal elasticity of substitution inconsumption consistent with the bulk of empirical estimates. Furthermore, we find that sunspot shocks do not necessarily generate countercyclical movements in consumption. Considering simultaneously beliefs and technological disturbances, it turns out that themodel performs as well as real sunspot models with increasing returns to scale in matching the business cycle.
FAIR TRADE PRODUCTS AND SUSTAINABLE CONSUMER BEHAVIOUR

The paper deals with consumer preferences of young people (members of Y generation) in relation to general principles of sustainability in environmental and social aspects of consumer goods purchase. The aim of the article is to evaluate the relationship between the general attitudes to the above-mentioned issues and the awareness of the “fair trade” business concept in the context of sustainable development of the young generation aged 15 34 in the Czech Republic. The presented results were obtained through primary research involving 840 respondents from the Czech Republic. Within the research, the quota selection features were taken into account, which were gender, age, educational attainment and respondent’s residence area. The results show that young people are interested in the origin of consumer goods they buy. They are willing to invest more in the purchase of goods if their price reflects the quality, the environmentally friendly way and the working conditions of the producers. From the point of view of the specific knowledge of the concept of Fair Trade, it was found that almost half knows it. It has been proven that young people who are interested in the origin of goods also know Fair Trade.
Co-design: from expert- to user-driven ideas in public service design

ABSTRACT While co-design with users has evolved as a promising approach to service innovation, it remains unclear how it can be used in public service contexts. This article addresses this knowledge gap by applying a co-design framework during the ideation stage of six public service design projects. The findings provide insights into (a) recruiting and sensitizing suitable service users, (b) conditions enabling users to co-design ideas, and (c) requirements for implementation of user-driven ideas. The article contributes an approach that shifts public service design away from an expert-driven process towards enabling users as active and equal idea contributors.
The Model of Interaction Between Learning and Evolutionary Optimization

The model of interaction between learning and evolutionary optimization is designed and investigated. The evolving population of modeled organisms is considered. The mechanism of genetic assimilation of the acquired features during a number of generations of Darwinian evolution is studied. The genetic assimilation means that individually acquired features are “re-invented” by evolution and recorded directly into genotypes of organisms. It is shown that the genetic assimilation takes place as follows: the organism distribution moves towards the optimum at learning and further selection; then genotypes of selected organisms also move towards the optimum. The mechanism of influence of the learning load is analyzed. It is shown that the learning load leads to a significant acceleration of evolution. The hiding effect is also studied; this effect means that a strong learning inhibits the evolutionary search in some situations.
Designed and user-generated activity in the mobile age

The paper addresses the question of how to design for learning taking place on mobile and wireless devices. The authors argue that learning activity designers need to consider the characteristics of mobile learning; at the same time, it is vital to realise that learners are already creating mobile learning experiences for themselves. Profound changes in computer usage brought about by social networking and user-generated content are challenging the idea that educators are in charge of designing learning. The authors make a distinction between designed activity, carefully crafted in advance, and user-generated activity arising from learners’ own spontaneous requirements. The paper illustrates what each approach has to offer and it draws out what they have in common, the opportunities and constraints they represent. The paper concludes that user-generated mobile activity will not replace designed activity but it will influence the ways in which designed activity develops.
The Effects of the Insurance Market in the Development of Western Balkans Countries, with Special Emphasis on Kosovo

The purpose of this research is to see whether the insurance influences the economic development of Western Balkan countries. Currently, insurance comprises an economic sector that includes all activities of conception, production and trading of this type of service that is of public interest but generally carried out by private law entities. For the specification of the econometric model in this research, we are based on the secondary data published in the official reports of the World Bank, the Central Bank, and the statistical agencies of some countries. To measure empirical results, there are used these statistical tests: fixed effects model, Hausman Taylor Regression, generalized method of the moment (GMM), and GLS regression. Based on the empirical results, we can conclude that life insurance and non-life insurance have a significant connection and positively impact the economic growth of these countries. Other variables that have shown a positive result in economic growth are: GDP per capita, Exports, whereas variables that negatively impact on economic growth are inflation and government spending.The empirical results of this document may recommend that relevant institutions implement institutional improvements that contribute to strengthening competition, advancing risk management techniques, and so on. In conclusion, we can say that future researches can be done as events, life insurance or non-life insurance impact on economic growth in Kosovo and in the countries of the region. The study is carried out with secondary data, and all empirical analyses are original. Through the results of this study we intend to offer more empirical evidence for our country and countries in the region recommending that relevant institutions improve the functioning of the financial sector and especially the insurances part because it is the factor that affects the economic growth. Key words: Economic growth, life insurance, non-life insurance, Kosovo.JEL Classification: C23, E31, G22, O11
Effects of processing methods and levels of inclusion of Jatropha curcas kernel meal on performance, organ characteristics, haematology and serum chemistry of finisher broiler chickens

Three hundred 21-day-old broiler chicks were reared using a 3 x 3 factorial model in a completely randomized design with 10 treatment groups having 3 replicates of 10 birds each. The birds were raised on a commercial starter diet at the starter phase before being allotted into dietary groups in a 21-d feeding trial at the finisher phase. The interaction between treatment and varying inclusion levels of processed-fermented Jatropha curcas (L) kernel meals (JKM) on the performance of broiler chicks was investigated. Jatropha curcas kernels were subjected to three different processing methods, namely: raw defatted fermented meal (RDFM), cooked defatted fermented meal (CDFM) and lye treated defatted fermented meal (LDFM). Each meal was included at varying inclusion levels of 2.5%, 5.0% and 7.5% such that diet 1 (control) contained 0% JKM while diets 2, 3, 4 contained 2.5%, 5.0% and 7.5% RDFM, diets 5, 6, and 7 contained 2.5%, 5.0% and 7.5% CDFM and diets 8, 9, 10 contained 2.5%, 5.0% and 7.5% LDFM. Feeding differently processed-fermented JKM to these broilers did not (p>0.05) compromise the feed conversion ratio. The results indicated an improvement (p<0.05) in the weight gain of broiler chicks fed CDFM and LDFM at 2.5 and 5.0% inclusion levels respectively. There were significantly (P<0.05) elevated levels of alkaline phosphatase and creatinine in their blood serum. The kidney, lungs and proventriculus of birds fed CDFM showed significant differences (p<0.05) among the treatments. Therefore, finisher broilers could tolerate up to 5.0% inclusion level of LDFM.
Design of Communication, Competition, and Collaboration in Online Games

In the early 1960s, Spacewar! , a two-player competitive computer game emerged from the labs of MIT. Often heralded as the first computer game ever, Spacewar! was also the first multiplayer computer game (Hertz 1997). Today, multiplayer and in particular, online multiplayer games, are the buzz of the gaming industry. From enhancements of single player games to massively multiplayer games, developers and designers are looking to reap the benefits of online gameplay.
Frequency Change Patterns across Proficiency Levels in Japanese EFL Learner Speech

This study investigated the overall patterns of variation across seven oral proficiency levels of 1,263 Japanese EFL learners and native English speakers. The methodological approach combined a learner corpus, language processing techniques, and multivariate statistical analyses to identify patterns of language use. The largest spoken learner corpus in Japan, the National Institute of Information and Communications Technology Japanese Learner English (NICT JLE) Corpus was used for the analysis. This corpus consists of transcribed interviews with 1,281 learners and contains over one million running words of spoken English. The transcriptions were compared with data gathered from 20 native English speakers who performed identical speaking tasks. In the present study, 58 linguistic features (e.g., grammatical features) were used from the original list of 67 linguistic features in Biber’s (1988) study. The following research questions were addressed. First, what linguistic features do and do not vary among Japanese EFL learners at different oral proficiency levels and native English speakers? Second, is computer-aided analysis of multiple linguistic features useful for determining which ones characterize particular oral proficiency groups? This study found interesting rising, flat, and falling frequency patterns in how several linguistic features are used in different oral proficiency levels. Some linguistic features (e.g., phrasal coordination and nouns) were frequently used by the learners at a low level. The frequencies of some others (e.g., contraction, pronoun it, and emphatics) increased as oral proficiency increased. The study identified a set of linguistic features that differentiate among second language oral proficiency groups as wel l as between non-native and native speakers of English.
Risk Factors associated with Diabetic Foot Ulcers

Objective : Determination of risk elements connected with the growth of diabetic foot ulcers Materials and Methods: 200 diabetic patients between 20-60 years of age enrolled with diabetic foot ulcers visited surgical OPD/emergency. The study excluded the patients having co-morbidities such as chronic renal failure, congestive cardiac failure and chronic liver disease. a detailed history was recorded relating to the management and duration of the diabetes. In every single case a complete physical along with sensory examination was done and Doppler ultrasound was used for ABI testing.In order to check glycaemiccontrol, the sample of blood was dispatched for HbA1c and ulcer debris was dispatched for sensitivity and culture. Results: The group consisted of 100 females and 100 males. 40.5% patients had peripheral neuropathy and the glycaemic control in 39.5% patient was poor. Up to 80.5% patients were found with basic infection. 36% patients had footwear trauma. Conclusion: The main risk elements responsible for the growth of diabetic foot ulcer are the existence of underlying infection, prolonged diabetes, peripheral neuropathy and peripheral vascular disease. Diabetic education relating to proper glycaemic control and meticulous foot care is urgently required. Key Words: Amputation, Diabetic foot ulcer, Diabetes mellitus
Ownership Concentration and Firm Risk. Evidence from the US

This paper investigates empirically the link between mid-sized blockholders and firm risk. Controlling for potential endogeneity problems, we find that the presence of multiple blockhold-ers positively affects firm risk. We also find that the stake of the largest blockholder reduces firm risk only when the firm has no other blockholders. Otherwise, the effect is insignificant. Overall our evidence is consistent with theories showing that firms' decisions are not determined by the largest shareholder alone and highlight the role of mid-sized blockholders. Findings are robust to various model specifications and controls.
A Retrospective Case Series of a Novel Spinal Cord Stimulator Trial Technique with Less Displacement and Migration of the Trial Leads

Background Spinal cord stimulation is an established treatment option for certain chronic pain conditions which have been previously unresponsive to conservative therapies or potentially for a subset of patients who have not improved following spine surgery. Prior to permanent lead implantation, stimulator lead trials are performed to ensure adequate patient benefit. During these trials, one of the most common complications and reasons for failure is the displacement and migration of the trial leads, resulting in lost therapeutic coverage. Other complications include infection and dislodged bulky dressings. There is a paucity of literature describing an adequate procedural method to prevent these common complications. Objective This study utilizes a series of 19 patients to evaluate a new technique for securing percutaneous spinal cord simulator trial leads, which may minimize dislodgement and migration complications and improve the rate of trial success. Study Design Retrospective case series. Setting New Jersey Medical School, Department of Anesthesiology, Pain Management Division. Methods A retrospective chart review was conducted on 19 consecutive patients undergoing placement of the percutaneous thoracic spinal cord stimulator trial leads for pain associated with lumbar spine pathology over a two-year period (2010–2012). Results Of the 19 patients in our cohort, there was one trial lead displacement, no lead migrations, and no site infections. Thirteen patients went on to permanent lead implantation. This improved trial lead placement technique had a high success rate with a low number of complications. Limitations Small sample size, retrospective case series, and no control group for comparison. Conclusion This case series was able to demonstrate that our described novel spinal cord stimulator trial lead placement and dressing technique can decrease the incidence of lead displacement and migration, thus improving trial success.
Financial Development-Economic Growth Nexus: A Case Study of Bangladesh

The existence of correlation between financial development and economic growth is well established by the theoretical as well as empirical evidence. The presence of correlation between financial development and economic growth is initially articulated by Gurley-Shaw (1955) followed by Goldsmith (1969), McKinnon (1973) and Shaw (1973). Gurley-Shaw (1955) provided convincing evidence of co-evolution of the real and the financial sectors without attributing any specific direction of causation which is again confirmed by Bencivenga-Smith (1998). Goldsmith (1969) also finds evidence of strong correlation between financial development and economic growth in his cross-country study. McKinnon (1973) and Shaw (1973) advocate financial liberalisation based on the belief that it will increase savings as well as real credit supply which will in turn induce a higher volume of investment and faster economic growth (Dixon 1997, p.752). Evidence of strong correlation between financial development and economic growth in these studies convincingly established a hypothesis that a well-developed and better functioning financial system supports faster economic growth
Managing the Product Development Process: a Simulation Study

Recent changes in the competitive environment make the capability of introducing new products faster and on time very important. Customers are demanding more customization and responsiveness, new technologies are proliferating at an increasing rate and consequently product life cycles are getting shorter. Evidence suggests that there are significant penalties for not introducing new products on time (Hendricks and Singhal(1997)). While the time needed to work out a concept to a new product, call it processing time, is often relatively short, most companies deal with extremely long times to market, call it the tetal respense time. This is due t e the highly stochastic nature of the development process creating delays and detours in downstream product development activities. Some researchers (see, e.g., Burchill and Fine (1997)) quite rightly state that too much emphasis on the time-orientation creates an environment where pressure for progress encourages development teams to conduct incomplete analysis. A relative emphasis on the market orientation on the other hand may increase the design objective credibility and comnitment but may increase the time required in concept development. This is why we focus in this paper on a well balanced aggregate project plan. Companies always engage in multiple concurrent projects, so we have to man-
Augmentation of an existing linear controller with an adaptive element

This paper describes an approach for augmenting an existing linear controller design with a neural network based adaptive element. The basic approach involves formulating an architecture for which the associated error equation has a form suitable for applying existing results for adaptive output feedback control of nonlinear processes. The approach is applicable to non-affine, nonlinear systems with both parametric uncertainty and unmodeled dynamics. There are no restrictions placed on the relative degree of the regulated output variable, and the uncertainties can be unmatched. New results related to disturbance cancellation in an adaptive context are presented. For simplicity, only the SISO case is treated. The overall approach is illustrated using a simple model for a flexible system.