Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF DEVELOPMENT OF INDUSTRIAL TRANSPORTATION AND AGLOMERATION SECTORS ON ACEH ECONOMIC GROWTH

Abstract This study aims to determine the development of the transportation sector and industrial agglomeration towards economic growth in Aceh Province. This study uses data regression analysis method of Fixed Effect and White cross section Panels. Panel Data Test Results show that of the 6 variables, there are two variables that show a negative relationship to economic growth, namely Capital Expenditure (BM) and Road Length PerKapita (JPK), while 4 other variables show a positive relationship, namely the Index of Specialization (IS), Gross Fixed Capital Formation (PMTB), Road Length (PJL) and Average School Duration (RLS). Test results also show that there are significant variables, namely the variable Gross Fixed Capital Formation (PMTB) and Capital Expenditures (BM), and the non-significant multiple variables, namely the Specialization Index (IS), Average School Length (RLS), Road Length (PJL) and Distance per Capita variable (JPK). To increase the economic growth of the government so that the transportation sector become one of the priorities, to facilitate the mobility of goods and services in the region, as well as one way to create agglomeration, besides that the government must also improve aspects as capital in economic growth and improvement of agglomeration in the regions
THE EFFECT OF COMPETIVE STRATEGIES AND BUSSINESS ENVIRONMENT ON THE PERFORMANCE OF CONSTRUCTION INDUSTRIAL SERVICES WITH THE MODERATION OF ORGANIZATIONAL CHARACTERISTICS

This research objective is to analyze the effect of competitive strategy on the constructionservices industry performance with the moderation of organizational characteristics. This research analysisof 260 manager and the CEO of the large industrial construction services in DKI Jakarta Indonesia.Analysis method using structrural equation modelling with AMOS. Research result showing competitivestrategies affect organizational performance, business environment affect organizational performance,organizational characteristics influence organizational performance, competitive strategies strengthen theinfluence of competitive strategies on organizational performance, competitive strategies strengthen theinfluence of competitive strategies on organizational performance. Some practical suggestions for the projectmanager and CEO of the construction service company as follows: The construction service industry placesmore emphasis on the cost leadership strategy, especially low cost attributes, which emphasize strongcontrol of expenditure and competitive price competition, so that organizational performance increases; Theconstruction service industry places more emphasis on the internal environment, which is a moderate riskaction in work, so that organizational performance increases; The construction service industry is moredirective in that it emphasizes independence and initiative in solving problems, so that organizationalperformance increases; The construction service industry must emphasize strong control on expenditure andcompetitive price competition supported by the nature of independence and initiative in solving problems sothat the performance of construction organizations increases.Keywords: competitive strategies, business environment, organizational characteristics and organizationalperformance
The Western Balkan counter-terrorism initiative (WBCTi) and the capability of the EU as a counter-terrorism actor

ABSTRACT In less than twenty years, the European Union (EU) developed a range of policy documents, instruments and institutional structures enabling it to combat terrorism outside its borders. The concentration of operational capabilities on the member-state-level, however, combined with a complex external institutional infrastructure on counter-terrorism led to poor understanding of the ability of the Union to influence the global fight against terrorism. The current paper contributes to the discussion of the EU’s capability as an actor in the field by investigating an Integrative and Complementary Approach to Counter-Terrorism and Violent Extremism in the Western Balkans, commonly known as the Western Balkan counter-terrorism initiative (WBCTi). The initiative, launched in 2015, promised a response to the growing threats of terrorism and violent extremism, emanating from the Western Balkans, through consistent and coherent action. The conducted analysis, however, reveals that although conceptually the WBCTi has the potential to improve the consistency and coherence of the EU’s counter-terrorism action, in practice it is unable to do so due to the non-binding nature of the approach and its dependence on non-EU actors. Abbreviations: Western Balkan counter-terrorism initiative (WBCTi); European Union (EU)
The Anatomy of an International Research Collaboration: Building Cumulative Comparative Knowledge in Human Resource Management

Abstract Comparative human resource management (HRM) has an established pedigree in the management and organization literature. However, the generation of novel contextual understanding to enhance theory building, deepen our appreciation of embedded management practices in more diverse territories, and open up new lines of enquiry was, and remains, challenging social science research. Increasingly, international academic research networks that bring together scholars from different countries in the co-production of knowledge represent a key approach to rising to this challenge. In this issue, we document aspects of the development of one such network, namely the Cranet Network on International Human Resource Management, and we provide an exposition of a series of recent articles from the network. The contributions highlight, inter alia, the limits to convergence in HRM as a result of contextual determinism, the role of institutional actors, markets and work regulation in accounting for variations in people management practices, the contextual specificities and dynamics at play in transition economies, along with key methodological challenges that arise when seeking to build cumulative comparative knowledge via network collaborations of this nature.
Volatility in productivity and the impact on unemployment

ABSTRACT Volatility, and the uncertainty it creates, has long been recognized as a factor in economic decision making. Since hiring occurs before shocks to productivity are realized, firms’ investment in new labour is inherently risky. How large a role uncertainty in productivity has on aggregate unemployment is an empirical question that we attempt to answer. In this paper we measure the impact of higher volatility in labour productivity on the unemployment rate in the U.S. economy using a SVAR-GARCH-M model. Using the conditional standard deviation of productivity innovations from a multivariate GARCH model to measure uncertainty, we provide compelling evidence that unemployment increases with volatility. This estimated relative effect is actually larger for positive productivity shocks leading to unemployment declines only 60% as large as would have occurred using models that exclude uncertainty.
World Trade Is Set to Rebound in 2010 after a Dismal 2009——World Trade 2009,Prospects for 2010

The global economic crisis sparked a 12.2% contraction in the volume of global trade (even 23% contraction in value terms)in 2009—the largest such decline in more than 70 years, according to a WTO press release about World Trade Report 2010 issued recently. After the sharpest decline in more than 70 years, world trade is set to rebound in 2010 by growing at 9.5%, according to WTO economists. After the sharpest such contraction, world trade is set to rebound in 2010 by growing at 9.5%, and exports from developed economies are expected to increase by 7.5% in volume terms over the course of the year while shipments from the rest of the world (including developing economies and the Commonwealth of Independent States) should rise by around 11% as the world emerges from recession. The trade forecast to be realized ultimately is not only dependent upon the real recovery of global economy but also upon the effective resist to protectionist pressures through WTO multilateral trading system. It is worth mentioning that although its merchandise exports decreased by 16% in 2009, China had replaced Germany for the fi rst time to be the world's largest exporter. China’s imports did not decline as other countries, which increased slightly actually. Among the world’s leading exporters and importers in both world merchandise and commercial services, China is now becoming a bigger one .
Designing English Material for Second Semester Students of Peer-Assisted Learning Program (PALP)

This research aims at developing Peer-Asissted Learning Program (PALP) Modul for PBI UAD Students at Second Semester. Since the purpose of the research is developing an instructional module, this research belongs to research and development. There were some steps conducted in this research which were conducting needs analysis, formulating the instructional design, arranging the modul, validating the modul, revising the modul, applying the modul, and evaluating the use of the modul. Then, the instruments used in this research were interview guideline and questionnaires. The interview guidelines were used in conducting needs analysis while the questionnaires were used in validating and evaluating the modul. Next, there were two types of data gained from this research, qualitative and quantitative data. The qualitative data were analyzed descriptively while quantitative data were analyzed through Likert scale and the use criteria percentage. The subject of the study were 12 of board PALP, 30 PALP mentors, and 50 mentees. The module entitled PALP Module for Semester 2 students which focuses on speaking skill. It contains 7 chapters, each chapters consists of the teaching order and scoring rubric. Moreover, the module was developed and revised based on the data gained during the research. The result from the expert judgment related to the face aspect is 84% while the result related to the development aspect is 80%. Then, the result of the evaluation from the board is 84%, from the mentors is 86%, and from the mentee is 88%. So, it can be concluded that the modul is feasible to apply.
Effects of Brief Electrical Stimulation on Embryonic Neurons Transplanted into Peripheral Nerve

of a dissertation at the University of Miami. Motoneuron death occurs with spinal cord injury, neuromuscular disease and age, resulting in muscle denervation. Although spared axons can reinnervate nearby muscle fibers, death of an entire motoneuron pool prevents muscle reinnervation by host motoneurons. The muscle will remain denervated completely. To reduce denervation-induced muscle atrophy, we have previously transplanted embryonic ventral spinal cord cells into a peripheral nerve near denervated muscles. This strategy shortens the distance axons have to regenerate to reinnervate muscles. Reinnervation reduced muscle atrophy but some muscle fibers remained denervated. Since neural activity is required for the survival of embryonic neurons and promotes axon growth, the aim of this study was to test whether brief electrical stimulation of embryonic neurons transplanted into peripheral nerve changes motoneuron survival, axon regeneration, motor unit formation and muscle properties 10 weeks after transplantation. The sciatic nerve was transected to induce muscle denervation, thereby mimicking the muscle consequences of motoneuron death. One week later, 200,000 embryonic day 14-15 ventral spinal cord cells, purified for motoneurons, were injected into the tibial nerve of adult Fischer rats close to gastrocnemii muscles. The transplanted neurons were the only source of neurons for muscle reinnervation because the proximal stump of the sciatic nerve had been tied to a hip muscle. Immediately after transplantation, the cells were stimulated for up to one hour using various protocols designed to determine the differential effects of pulse number, stimulation frequency, pattern and duration of stimulation on outcomes. Low frequency stimulation (1 Hz) for one hour resulted in more myelinated axons in the tibial nerve compared to intermittent stimulation, 3 minutes of stimulation or no stimulation. Continuous stimulation for one hour resulted in higher numbers of reinnervated motor units than 3 minutes of stimulation or no stimulation. Higher motor unit numbers resulted when the stimulation intervention included shorter rest times. Muscles with higher motor unit counts were stronger. Even without electrical stimulation, cell transplantation itself and reinnervation reduced muscle atrophy significantly. Muscles reinnervated by embryonic motoneurons could be excited by nerve stimulation whereas denervated muscles were unresponsive. Higher forces, relative to maximum, were attained in response to 15-50 Hz stimulation in reinnervated versus uninjured muscles. Reinnervated muscles were resistance to fatigue. The ability of embryonic neurons to respond to brief electrical stimulation, in vivo, by forming more motor units makes these reinnervated muscles more useful for production of functionally meaningful movements using …
Convergence Numerically of Trinomial Model in European Option Pricing

A European option is a financial contract which gives its holder a right (but not an obligation) to buy or sell an underlying asset from writer at the time of expiry for a pre-determined price. The continuous European options pricing model is given by the Black-Scholes. The discrete model can be priced using the lattice models ih here we use trinomial model. We define the error simply as the difference between the trinomial approximation and the value computed by the Black-Scholes formula. An interesting characteristic about error is how to realize convergence of trinomial model option pricing to Black-Scholes option pricing. In this case we observe the convergence of Boyle trinomial model and trinomial model that built with Cox Ross Rubenstein theory. DOI : https://doi.org/10.21632/irjbs.6. 3.195-201 Keywords: Convergence, Option Valuation, Trinomial Model
Art Education and Disability Studies Perspectives on Mental Illness Discourses.

This dissertation critically examines mental illness discourses through the intersecting disciplinary lenses of art education and disability studies. Research from multiple disciplines is compared and theorized to uncover the ways in which discourses, or language systems, have oppressively constructed and represented “mental illness. ” To establish interdisciplinary common ground, art education research on disability and disability studies research on art practices are reviewed and juxtaposed. Building on these reviews, art education and disability studies discourses are critically examined and elaborated to advance anti-oppressive scholarship on mental illness. In particular, I examine art education’s adoption of special education language, and I explore the limited employment of art practices within disability studies. As an interdisciplinary example, I write about my experience of mental illness and some of the art processes I have used to make sense of mental illness as both a stigmatizing label and as a matter of complex embodiment. My research shows that oppressive, ableist discourses persist in such diverse forms as popular visual culture and special education legislation, while art education and disability studies are generally invested in challenging oppression. Such discourses reinforce stigma by misrepresenting mental illness and by excluding first-hand perspectives of people who experience mental illness and subsequent stigma. Disability studies scholars have used performance and writing to critically express self-revealing, ii self-disclosing, and therefore educative discourses. Other than performance and literature, however, there are few scholarly examples of using contemporary art practices to critically engage mental illness and other disabilities. As research, guided by my own embodied knowledge, I construct an example of how art education and disability studies practices can be integrated to construct critical disability discourses that challenge stigma and ableism. The dissertation suggests that interdisciplinary dialogue between art education and disability studies can effectively disrupt oppressive discourses through critical contemporary art practices and creative writing. Art educators can utilize disability studies scholarship to further divest ableist discourses and practices. Art educators can also contribute to disability studies by strategizing art practices that critically explore disability discourses in the many fields that comprise disability studies. Together, art education and disability studies can address the many areas where disability and art meet, socially, culturally, and pedagogically.
Computational Complexity And Algorithms For Dirty Data Evaluation And Repairing

In this dissertation, we study the dirty data evaluation and repairing problem in relational database. Dirty data is usually inconsistent, inaccurate, incomplete and stale. Existing methods and theories of consistency describe using integrity constraints, such as data dependencies. However, integrity constraints are good at detection but not at evaluating the degree of data inconsistency and cannot guide the data repairing. This dissertation first studies the computational complexity of and algorithms for the database inconsistency evaluation. We define and use the minimum tuple deletion to evaluate the database inconsistency. For such minimum tuple deletion problem, we study the relationship between the size of rule set and its computational complexity. We show that the minimum tuple deletion problem is NP-hard to approximate the minimum tuple deletion within 17 16 if given three functional dependencies and four attributes involved. A near optimal approximated algorithm for computing the minimum tuple deletion is proposed with a ratio of 2− 1 2r , where r is the number of given functional dependencies. To guide the data repairing, this dissertation also investigates the data repairing method by using query feedbacks, formally studies two decision problems, functional dependency restricted deletion and insertion propagation problem, corresponding to the feedbacks of deletion and insertion. A comprehensive analysis on both combined and data complexity of the cases is provided by considering different relational operators and feedback types. We have identified the intractable and tractable cases to picture the complexity hierarchy of these problems, and provided the efficient algorithm on these tractable cases. Two improvements are proposed, one focuses on figuring out the minimum vertex cover in conflict graph to improve the upper bound of tuple deletion problem, and the other one is a better dichotomy for deletion and insertion propagation problems at the absence of functional dependencies from the point of respectively considering data, combined and parameterized complexities. INDEX WORDS: Consistency Evaluation, Inconsistent Data Repairing, Functional Dependency, Query Feedback, Deletion Propagation, Insertion Propagation, Inconsistent Data, Algorithm, Computational Complexity, Databases COMPUTATIONAL COMPLEXITY AND ALGORITHMS FOR DIRTY DATA EVALUATION AND REPAIRING
Policy Conflict and its Settlement in Korea: The Case of Regulatory Reform

Policy making can be defined as the specification of policy content, a set of policy goals and instruments. This specification can be made through two stages: position taking and coordination. Usually due to their interests and values, major policy actors in the policy making process have not only concern for the content of the policy to be made but also some ideas and preference for it. They internally transform these ideas and preferences into their policy positions, and then push their positions externally against other incompatible positions. When policy actors push different policy positions from somewhat independent power bases, policy conflict ensues. Coordination among them is needed. The outcome of policy coordination can not always be the same as each actor intends. Original policy content can be maintained, or partially deleted from or added to, or changed into completely new one, or evaporated into the air. More than two policy positions can be coordinated in integrative or distributive fashion.
Automatic Liver Segmentation Using U-Net with Wasserstein GANs

— Automatic liver segmentation in CT images is an important step for computer-aided diagnosis and computer-aided hepatic surgery. Recently, though numerous methods based on deep learning such as U-Net have been proposed for automatic liver segmentation, it is still a challenging topic because of its low contrast and variations of liver shape. Additionally, limited training data for deep learning is another challenging problem. In this paper, we propose an automatic liver segmentation using U-Net with a Wasserstein Generative Adversarial Network (GAN). The Wasserstein GAN was used to improve U-Net’s training, especially training with a small data set. We demonstrated that liver segmentation accuracy (Dice value) with 33 and 392 training data sets was improved from 88% to 92% and from 92% to 93%, respectively. 
String Generation for Testing Regular Expressions

Regular expressions have been widely studied due to their expressiveness and flexibility for various applications. A common yet challenging way to ensure the quality of regular expressions is regular expression testing. In this work, we study coverage criteria based string generation for testing regular expressions. Firstly, we propose a notion of pairwise coverage criterion for regular expressions, and analyze the subsumption relationships with existing coverage criteria for both regular grammars and finite automata. Secondly, we design an algorithm that given as input a regular expression, outputs a small set of strings that satisfies the pairwise coverage criterion. Thirdly, we extend the coverage criterion and the generation algorithm to further deal with regular operators counting and interleaving. Fourthly, we experimentally demonstrate the effectiveness and efficiency of our algorithms by testing element type definitions of real-world XML schemas. Finally, we identify more applications of pairwise coverage and its corresponding generation algorithm, and show that they can be used to generate characteristic samples for certain regular expression learning algorithms that follow Gold’s learning paradigm of learning (identification) in the limit. These results are not only theoretically meaningful, but are also useful for practical applications involved with regular expressions.
Discrete-event simulation and design of experiments to study ambulatory patient waiting time in an emergency department

Abstract Despite major investments in healthcare, access to front line health services (family doctors, walk-in clinics) is still difficult. If front line healthcare services remain insufficient, emergency departments will have to offer non-urgent patients appropriate services. More than half of emergency patients are ambulatory patients and their medical condition is not usually as serious as for patients on stretchers (Thibeault, 2014). This paper is devoted to the analysis of ambulatory patient length of stay in an emergency department of a hospital in the province of Quebec. The average length of stay for ambulatory patients in that hospital is slightly more than 7 hours which exceeds the average 4 hours observed for all emergency departments in Quebec. To identify the factors and their interactions affecting the performance of the hospital emergency, measured by the average length of stay for ambulatory patients, experimental design and discrete-event simulation were used. This research aims at verifying how nurses can contribute to reduce emergency department overcrowding. Our results show that giving more responsibility to nurses (collective prescriptions, review patients) reduce greatly the average patient length of stay with less financial effort than adding new doctors. This allows doctors to focus on the more acute patients.