Miracle-dz/UniFAR-FTUs huggingface dataset:
Pemberdayaan Model CSE-UCLA Dalam Pelaksanaan Evaluasi Program Blended Learning di SMA Negeri 1 Ubud

Tujuan terlaksananya penelitian ini untuk memperoleh gambaran tentang hasil evaluasi dan kendala-kendala pelaksanaan blended learning di SMA Negeri 1 Ubud. Pendekatan penelitian ini adalah kualitatif menggunakan metode evaluatif. Desain evaluasi dalam penelitian ini adalah model CSE-UCLA, yang terdiri dari lima komponen evaluasi, yaitu: system assessment, program planning, program implementation, program improvement, dan program certification. Subjek yang dilibatkan dalam pengambilan data melalui wawancara pada penelitian ini, terdiri dari: seorang kepala sekolah, seorang kepala laboratorium komputer, dan dua orang tim teknologi informasi. Subjek yang dilibatkan dalam pengambilan data melalui penyebaran kuesioner, terdiri dari lima orang guru dan 10 orang siswa. Teknik penentuan semua subyek tersebut menggunakan teknik Purposive Sampling. Hasil penelitian menunjukkan tingkat efektivitas pelaksanaan program blended learning di SMA Negeri 1 Ubud dalam kategori baik. Hasil tersebut diperjelas dari perhitungan yang didasarkan pada kuadran Glickman, dimana hasil evaluasi termasuk dalam kuadran ‘Baik’, karena T-Score pada masing-masing komponen evaluasi menunjukkan pola ‘Tinggi-Tinggi-Tinggi-Rendah-Tinggi’.
Risky Business: Risk Tolerance of Entrepreneurs in Europe

In this thesis, research is done on a micro- and macro-level, where first it is investigated how risk tolerance differs between wage workers, solo, and employer entrepreneurs. Second, on a macro-level it is tested how the relationship between risk tolerance and entrepreneurship is influenced by two regions in the European Union, and a country’s uncertainty avoidance and economic development. The model implemented is based on the GEM survey, the IMF dataset, and Hofstede’s dimensions dataset by means of logistic regressions. All the variables retrieved from these three sources are from the years 2014 and 2015, around 100,000 observations were audited. On a micro-level the main findings show the presence of a higher risk tolerance of both, solo and employer, entrepreneurs in comparison to wage workers. Over and above, between the two groups of entrepreneurs, employer entrepreneurs are generally found to administer any kind of risk in a more advanced way. Further is it the existence of a significant influence of economic and cultural indicators on the relationship between entrepreneurs and risk tolerance which has been found. No distinction could be made between Eastern and Western Europe as an insignificant relationship was ascertained regarding the difference in risk tolerance of entrepreneurs in these two regions. Therefore, it can be confirmed that young business entrepreneurs do take more risks than any other individual in the labour force. Crucial economic and cultural factors such as GDP per capita and uncertainty avoidance affect this risk tolerance, respectively in a positive and negative fashion. Hence, the findings from the model indicate that countries which have a high income per capita and/or a low uncertainty avoidance have entrepreneurs with a higher risk tolerance.
Distributed fault detection observer design for linear systems

This paper investigates the distributed fault detection problem for linear time-invariant (LTI) systems with distributed measurement output. We propose a distributed fault detection observer (DFDO) design method to detect actuator faults of the monitored system in the presence of a bounded process disturbance. The DFDO consists of a network of local fault detection observers, which communicate with their neighbors as prescribed by the given network graph. A systematic algorithm for DFEO design is addressed, enabling the residual to be robust against the effects of the external bounded process disturbance. Based on L∞ analysis, a bank of linear matrix inequalities is presented to calculate the gain matrices and residual thresholds in our distributed fault detection scheme. Finally, we illustrate the effectiveness of the proposed distributed fault detection approach by means of a numerical simulation.
Metadata elements preferred in searching and assessing relevance of archived television broadcast by scholars and students in media studies: Towards the design of surrogate records

The present doctoral work concerns the investigation of three aspects of scholars’ and students’ information seeking behaviour in a television broadcast context, and the associated implications for design and construction of metadata elements in surrogate records in future broadcast retrieval systems. The three aspects of information seeking behaviour in focus are information need characteristics, preferred search entries, and application of relevance criteria. The thesis provides considerations regarding the construction of surrogate records for broadcasts in the Danish national collection of television broadcasts at the State and University Library in Aarhus. At present, no surrogate records exist for the collection, and hence no retrieval facilities are available for users. To gather knowledge about the construction of surrogate records for a future broadcasts retrieval system, the present work focuses on three interconnected research areas: 1) aspects of users’ information seeking behaviour in relation to television broadcasts; 2) appropriate access points for television broadcasts; and 3) construction of surrogate records for television broadcasts. Users’ information seeking behaviour is the behaviour connected to the purposive actions when seeking information in order to fulfil an underlying work task (Wilson, 2000, p. 49). The present work inquires into three aspects of academics’ information seeking behaviour in a television broadcast context, namely: 1) characteristics of the users’ information needs; 2) the users’ search entry preferences; and 3) the users’ application of relevance criteria. Investigation of these aspects of the academics’ information seeking behaviour reveals which television broadcast dimensions that are of importance for effective retrieval of television broadcasts. Knowledge about these dimensions is translated to knowledge about the access points that are appropriate in surrogate records in future broadcast retrieval systems. The appropriate access points are the metadata elements in surrogate records that ensure that users are provided with effective retrieval for fulfilment of their work task at hand. Subsequently to identification of appropriate access points, we consider indexing approaches for construction of the access point in surrogate records. The primary focus is on exploitation of information in readily available external sources, namely television schedules. In addition, we cursorily discuss the benefits of exchanging surrogate records with operating archives. The epistemological foundation for the doctoral work is the cognitive integrated framework for information seeking and information retrieval (IR) (Ingwersen & Järvelin, 2005). The framework builds upon the fundamental conception that
The MCNP6 Book On Unstructured Mesh Geometry: User's Guide for MCNP 6.2.1

Hybrid geometries with unstructured mesh embedded in a constructive solid geometry universe representation is a recently added (less than 10 years old) feature to MCNP6 and was present in its first production release as well as several prior beta versions. This capability requires new input and produces its own output that is available in a special file for post-processing. This user’s guide provides an overview of the capability and then discusses the input, output, and some of the preand post-processing capability. The MCNP Book On Unstructured Mesh Geometry: User’s Guide
Key Success Factors for the Public Participation Effect of Old City Reconstruction Projects

Public participation has become more and more important in the urban redevelopment. However, the implementation effect of the public participation is less than satisfactory. This article aims to recognize and analyse the key factors for the effect of the public participation in urban redevelopment. Government administrators and the public in China were surveyed to gather data to test the index system for the factors identified by literature review and expert interviews in the effect of the public participation in urban redevelopment. The results show that the characteristics of developer have no significant effect on the effect of the public participation, which is different from the abroad situation. The characteristics of government have remarkable significant effect on the effect of the public participation, the characteristics of public come second, the external environment conditions come third.
Dual Indicators to Analyze AI Benchmarks: Difficulty, Discrimination, Ability, and Generality

With the purpose of better analyzing the result of artificial intelligence (AI) benchmarks, we present two indicators on the side of the AI problems, difficulty and discrimination, and two indicators on the side of the AI systems, ability and generality. The first three are adapted from psychometric models in item response theory (IRT), whereas generality is defined as a new metric that evaluates whether an agent is consistently good at easy problems and bad at difficult ones. We illustrate how these key indicators give us more insight on the results of two popular benchmarks in AI, the Arcade Learning Environment (Atari 2600 games) and the General Video Game AI competition, and we include some guidelines to estimate and interpret these indicators for other AI benchmarks and competitions.
Long-Haul Tourist Preferences for Stopover Destination Visits

International long-haul travel represents a distinct market segment with great potential. Yet, empirical studies on the stopover destination visits are limited. The current research is based on a web survey conducted among residents in the United States, the United Kingdom, and Australia, which are three of the world’s top spenders and long-haul travel source markets. In this work, we examine tourist intentions to trade leisure time at a long-haul destination for a visit to a stopover destination. In particular, tourist preferences are analyzed as a function of traveler price sensitivity toward long-haul destinations, travel personality, activity engagement, motivation, travel profile, and demographic characteristics. Results provide insights into the under-researched topic of stopover tourism and guide aviation mega-cities toward an enhanced understanding of the potential demand.
"Take one" - exploring the art of filmmaking in a CLIL approach to art education

Seit seinem erstmaligen Aufkommen erfreut sich das Konzept ‚Content and Language Integrated Learning‘ (CLIL) groser Aufmerksamkeit. Die Verbreitung der Unterrichtsmethodik durch lokale und landerubergreifende Initiativen in ganz Europa, so auch in osterreichischen Schulen, fuhrte schon zu Fortschritten in vielen Unterrichtsfachern. Allerdings bleibt die Frage zur Eignung von CLIL im Fach Bildnerischer Erziehung (BE) noch weitgehend offen; Ziel dieser Arbeit ist es daher, die Anwendbarkeit in diesem Bereich zu erproben. Zu diesem Zweck wurde ein Unterrichtsprojekt in einer 10. Klasse der AHS Oberstufe in Oberosterreich durchgefuhrt. Vier Doppelstunden zum Thema Film und Filmemachen wurden aus der Sicht der Lehrperson, mit dem Blick auf die Qualitat der SchulerInnenarbeiten und letztlich der Sichtweise der SchulerInnen bewertet. Aufgrund der uberwiegend positiven Erfahrung beiderseits und der beeindruckenden Endergebnisse des Unterrichtsprojekts – die Kurzfilme, die von den Studierenden in Gruppen produziert wurden – lasst sich schliesen, dass nicht nur dieser modulare Versuch erfolgreich war, sondern es sich auch lohnt, die Moglichkeiten von CLIL im Fach BE weiter zu untersuchen. Als erste Annaherung an das Thema soll diese Arbeit als Inspiration und Leitfaden fur interessierte LeserInnen dienen, die versuchen wollen, die Unterrichtsmethodik selbst auszuprobieren.
American Democracy and the Problem of Fiscal Deficits

Most theorists of public finance treat budgeting as a technical problem concerned centrally with projecting revenues and expenses. To the contrary, I treat budgeting as a political problem, with technical matters serving to obscure more than illuminate the political economy of budgeting. This essay starts by explaining why persistent budget deficits have little to do with traditional technical matters because they mostly reflect the conflictual character of contemporary political economy. The rest of the essay probes this conflictual character by providing a conceptual framework grounded in the inherently complex character of fiscal systems, and with this complex character contrasting sharply with the image of simplicity advanced by most theorists of public finance. The key point I advance is that democratic budgeting in large national governments will unavoidably operate as a source of turbulence and not as a source of systemic stability.
Development of a Living Lab for a Mobile-Based Health Program for Korean-Chinese Working Women in South Korea: Mixed Methods Study

Background Korean-Chinese (KC) women make up the largest group of female migrants in South Korea. To prevent and manage chronic diseases in middle-aged KC women working full time, it is necessary to develop health promotion programs that utilize an online platform because such a platform would allow individuals to participate in health promotion interventions at their convenience. Objective This study aimed to develop a living lab for a mobile-based health (LLm Health) program focused on improving the physical activity and cultural adaptation of KC women workers. Methods We used a mixed methods design. Living lab principles were factored into the LLm Health program, including the use of multiple methods, user engagement, multistakeholder participants, real-life settings, and cocreation. The program was developed using the 4 steps of the intervention mapping method: needs assessment, setting of objectives, identification of intervention strategies, and intervention design. Needs assessment was conducted through a literature review, focus group interviews with a total of 16 middle-aged KC women, and an online survey related to health promotion of migrant workers given to 38 stakeholders. KC middle-aged women participated in the early stages of program development and provided the idea of developing programs and mobile apps to enhance physical activity and acculturation. The mobile app developed in the program was validated with the help of 12 KC women and 4 experts, including 3 nursing professors and a professor of physical education. They were asked to rate each item based on content, interface design, and technology on a 4-point scale using a 23-item Smartphone App Evaluation Tool for Health Care. Results The LLm Health program comprised a 24-week walking program using Fitbit devices, the mobile app, and social cognitive interventions. The mobile app contained 6 components: a step counter, an exercise timer, an online chat function, health information, level of cardiovascular risk, and health status. The cultural aspects and lifestyles of KC women were accommodated in the entire process of program development. The content validity of the mobile app was found to be 0.90 and 0.96 according to the 12 KC women and 4 experts, respectively. Conclusions The mobile app was found to be valid and acceptable for KC women. The living lab approach was a useful strategy for developing a culturally adaptive LLm Health program for KC women workers, leading to their active participation in the overall research process, including needs assessment, program composition, and pre-evaluation.
Evaluation of network security based on next generation intrusion prevention system

Next Generation Intrusion Prevention System (NGIPS) is a system that works to monitor network traffic, to detect suspicious activity, and to conduct early prevention toward intrusion that can cause network does not run as it supposed to be, NGIPS provides vulnerability protection broader compared to the traditional IPS, especially in the application layer that has ability to detect and learn vulnerability asset and carried out layering inspection until layer 7 packet. This paper intended to analyze and evaluate the NGIPS to protect network from penetration system that utilize the weakness from firewall, that is exploitation to HTTP port. By the existence of NGIPS, it is expected can improve the network security, also network administrator could monitor and detect the threats rapidly. Research method includes scenario and topology penetration testing plan. The result of this research is the evaluation of penetration testing that utilizes HTTP port to exploit through malicious domain. The evaluation conducted to ensure the NGIPS system can secure the network environment through penetration testing. This study can be concluded that it can become reference to optimize network security with NGIPS as network security layer.
Bond Liquidity, Risk Taking and Corporate Innovation

Purpose The purpose of this paper is to investigate how market liquidity condition of corporate bonds can affect firm investment policy, specifically its risk taking, via the disciplinary function of trading. Design/methodology/approach The paper uses fixed-effects OLS and Poisson regression for the baseline specifications. It also employs the introduction of TRACE in 2002 as an exogenous shock to bond trading infrastructure in a difference-to-difference framework to address endogeneity concerns and establish causality. Findings The paper documents a positive relationship between bond illiquidity and firms’ risk taking, specifically a one standard deviation increase in Amihud illiquidity measure is associated with nearly 20 percent increase in exploratory investments compared to CAPEX. The shift in risk taking in turn increases firms’ innovation output to some extent. Research limitations/implications The findings have important implications on firm’s risk taking and growth. The paper identifies a new channel through which firm’s choice of risk can be influenced, namely, bondholder disciplining. The study also has implications about externalities of trading beyond liquidity cost for regulators in designing market microstructure. Originality/value This is the first to study the disciplinary role of bond trading. Conventional wisdom holds that bondholders are passive creditors who do not engage in costly monitoring such as banks. The findings in this paper imply that this may not be the case.
User acceptance of driverless vehicles and robots with aspect of personal economy

Abstract There are worries about the present and likely future effect of new innovations like robots and artificial intelligence. Analysts from various fields including science and business have been studying how new innovation will influence the job market and more extensively how new innovations will affect society. The aim of this study is to empirically investigate the acceptance of robots & driverless cars. In this study we examined the impact of the following variables; influence on personal economy, awareness, perceived enjoyment and anxiety related to acceptance of robots and also the impact of safeness, awareness, perceived enjoyment and anxiety on acceptance of driverless cars.
Corruption and Remittances: Evidence from Around the World

This study revisits the sources of corruption using panel data for 146 countries and contributes to the literature by analyzing the relationship between remittances and corruption with a particular focus on the analysis of the distribution of the dependent variable (corruption). In cross sectional and panel settings the author finds that a one standard deviation increase in the remittances variable is associated with an increase in corruption of 0.33 points, or 25 percent of a standard deviation in the corruption index. The author also investigates whether greater remittances consistently increase corruption among the most and least corrupt countries. Our results show that among the least corrupt countries, remittances do not appear to increase corruption but significantly promote corruption among most corrupt countries. Our findings are robust for different sample specifications, for regional effects and for alternative econometrics techniques.
Nonlinear Impact of Public Debt on Economic Growth: Evidence from Sub-Saharan African Countries

This paper empirically explores the impact of public debt on economic growth in Sub-Saharan African (SSA) countries over the period 1960 to 2015 by using a system Generalized Methods of Moments (s-GMM). Specifically, this work studies the nonlinear relationship between public debt and economic growth. To do so, we perform the Sasabuchi-Lind-Mehlum’s test (or U-test) to check if the required and sufficient conditions are met for an inverted U-shape. The results strongly suggest the presence of a nonlinear relationship between public debt and economic growth. By applying the Delta method, this threshold is evaluated at about 36.18 percent ratio debt-to-GDP with its confidence interval associated (13, 59). The public debt boosts the economic growth when its level is less than this turning point. Above this threshold, an increase in public debt would lower the economic growth. Accordingly, a re-examination of the public debt level of some convergence policies which set this level (debt-to-GDP ratio) to 70 per cent (cf. Boxes 1 and 2) is proposed.
The green bond market and its’ conventional counterpart, a comparison

Climate change is one of the biggest challenges faced in the 21st century. The topic has initiated a general trend in sustainability. A relatively recent area of this trend is the green bond market. Which was initiated a little over 10 years ago. This paper empirically investigates whether green bonds, from a return perspective, are comparable to conventional bond. And thereby, making the investment interesting for all bond investors and not only social investors. This is investigated by clustering and matching the bonds and testing the yield spreads. A second model uses Jensen’s alpha as a performance proxy to test whether the alphas of green bonds are significantly different to those of conventional bonds. No statistical significance is found that green bonds underor-out perform conventional bonds in the daily data set tested from January 2018-March 2019. Supervisor: Dr. Sascha Füllbrunn Department of Economics Master: Economics (International Business) Hanna Knippers Jul. 10, 19 Master Thesis, Economics
Creating A Disability Corpus for Literary Analysis: Pilot Classification Experiments

As literary text opens to researchers for distant reading, the computational analysis of large corpora of text for literary scholarship, problems beyond typical data science roadblocks, such as data scale and statistical significance of findings have emerged. For scholars studying character and social representation in literature, the identification of characters within the given classes of study is crucial, painstaking, and often a manual process. However, for characters with disabilities, manual identification is prohibitively difficult to undertake at scale, and especially challenging given the coded textual markers that can be used to refer to disability. There currently exists no corpus of characters in fiction with disabilities, which is the first step to at-scale computational study of this topic. This project seeks to pilot a classification process using manually assigned ground truth on a subset of volumes from the HathiTrust. Having successfully built and evaluated a Naïve Bayes classifier, we suggest full-scale deployment of a statistical classifier on a large corpus of literature in order to assemble a disability corpus. This project also covers preliminary exploratory textual analysis of characters with disabilities to yield potential research questions for further exploration.