Miracle-dz/UniFAR-FTUs huggingface dataset:
The Differing Foreign Entry Mode Choices for Sales and Production Subsidiaries of Multinational Corporations in the Manufacturing Industry

Foreign market entry mode research has been a popular area of study. However, a clear agreement between the usage of conventional constructs and their impact on a firm’s entry mode choice has not yet been found. This paper focuses on how, depending on the type of subsidiary that is established, multinational corporations (MNCs) in the manufacturing industry use different foreign market entry strategies. Previous research either treated types of subsidiaries synonymously or investigated them separately. However, due to the changing competitive landscape and disaggregation of value chain activities into separate subsidiaries, I find it necessary to compare how these entry mode choices differ depending on the activity each subsidiary is responsible for. My analysis finds that MNCs in the manufacturing industry are more likely to use joint ventures rather than wholly owned modes of entry for their production subsidiaries in comparison to their sales subsidiaries. I further explore how the international experience of the MNC strengthens this effect. This research utilizes a sample of 201 listed Korean manufacturing firms and 833 foreign market entry mode choices into 49 countries.
Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective

This paper addresses the problems of data sanitization and cyber situational awareness by analyzing 910 GB of real Internet-scale traffic, which has been passively collected by monitoring close to 16.5 million darknet IP addresses from a /8 and a /13 network telescopes. First, the paper offers a novel probabilistic darknet preprocessing model, which aims at sanitizing darknet data to prepare it for effective use in the task of cyber threat intelligence generation. Such model has been engineered using a distributed multithreaded approach, rendering it operational and highly effective on darknet big data. Second, the paper further contributes by presenting an innovative approach to infer large-scale orchestrated probing campaigns by leveraging darknet data, for Internet cyber situational awareness. The approach uniquely reduces the dimensionality of such big data by utilizing its artifacts, instead of processing the actual raw data. This is accomplished by extracting and analyzing probing time series using formal methods rooted in Fourier transform and Kalman filtering. Thorough empirical evaluations indeed validate the accuracy and the performance of the proposed methods and techniques. We assert that the darknet sanitization model and the probing orchestration inference approach are of significant value, given their postulated highly applicable nature to the field of Internet measurements for cyber security in the era of big data.
The Cambridge Grammar of the English Language

This book presents a new and comprehensive descriptive grammar of English, written by the principal authors in collaboration with an international research team of a dozen linguists in five countries. It represents a major advance over previous grammars by virtue of drawing systematically on the linguistic research carried out on English during the last forty years. It incorporates insights from the theoretical literature but presents them in a way that is accessible to readers without formal training in linguistics. It is based on a sounder and more consistent descriptive framework than previous large-scale grammars, and includes much more explanation of grammatical terms and concepts, together with justification for the ways in which the analysis differs from traditional grammar. The book contains twenty chapters and a guide to further reading. Its usefulness is enhanced by diagrams of sentence structure, cross-references between sections, a comprehensive index, and user-friendly design and typography throughout.
Green Theory in Environmental Policy Making in China

Climate change has been a topic of discussion for quite some time now. International Relations Theory, which is widely used to study the politics of the world also has a subfield of Green Theory in IR which concerns itself with world politics in a combination of the environment. This study has been conducted as part of an investigation to study the effects of green theories on green policymaking, specifically in the case of China. For the study, a qualitative study was conducted where trends of environmental governance related results were examined to draw a conclusion to the research questions. This study is in hope to present the case of China which ranks among the most contaminated nation and is also a major contributor to the global environmental crisis of ecological damage. It presents how China has been able to turn the tables and has become a case exemplar instead for the world to follow in environment protection owing to strong laws and implementation by its government.
Effect of Volatility Fluctuations on Optimal Execution Schedules

We present a framework for optimal execution in the presence of stochastic volatility. The theoretical model utilizes the fair pricing theory of market impact and the Heston model for volatility. We use computer optimization to solve common trading problems, including optimal execution schedules on high volatility near the open or on the arrival of signals with short-term alpha decay.
Motion Planning in Dynamic Environments with Application to Self-Driving Vehicles

This thesis is concerned with the development of trajectory planning approaches targeting autonomous driving applications in dynamic environments shared with other traffic participants. The goal is to enable mobile robots to operate in challenging environments, characterized by narrow spaces and close proximity of other agents. With their broad range of private and commercial applications reaching from logistics to valet parking to name a few, driverless vehicles have gained increasing attention in the past years. The complexity of automated driving, however, differs widely with respect to the application domain. In contrast to automated highway driving where the set of admissible actions and different traffic participants is usually small, driverless vehicles in urban environments are faced with a broad variety of semantic information and action choices. In addition, the challenging system kinematics and rotation-variant shape of cars call for system-compliant motion planning algorithms and accurate collision detection with both static elements and other traffic participants in the world. Most state-of-the-art approaches divide the motion planning problem in dynamic environments into prediction and planning. First, the future evolvement of the world is predicted, and in the following the autonomous agent seeks a plan to avoid predicted obstacles at any time. The fact that other traffic participants will adapt their future actions depending on the presence of the robot is neglected in order to make the challenging problem of real-time motion planning in dynamic environments tractable. This simplification, however, gives rise to over-conservative behavior of the autonomous agent, as the latter is rendered responsible for collision avoidance alone. Especially in more densely populated environments with few or weak traffic rules, neglecting the possibility of interaction between the autonomous agent and other traffic participants may lead to reduced navigation performance. This thesis addresses two aspects of motion planning for autonomous vehicles. First, the thesis contributes a non-cooperative, sampling-based motion planning approach, suitable for autonomous vehicle navigation in narrow environments such as parking lots in valet parking applications. The second part is dedicated to cooperative motion planning to improve upon navigation in the presence of other agents.
The relationship between individual well-being, working environment and job satisfaction among factory workers in Malaysia

The present study examined the relationship between individual well-being, perceptions on the working environment and overall job satisfaction in the context of factory workers in Malaysia. A major purpose of the study is to identify main problems faced by factory workers in Malaysia. The study also aimed to examine the influence of demographic variables on job satisfaction, and the relationship between family income, individual well-being and perceptions on working environment, on overall job satisfaction among these factory workers. A survey was distributed among 551 factory workers working in the area of Klang Valley. Results indicate that two main problems faced by factory workers are fear with the influx of foreign workers that may threaten their job security, and the relatively low pay, considering that the high cost of living in Klang Valley. Findings also indicate that while gender and race did not significantly influence perceptions on working environment and job satisfaction, level of occupation did. Those working as security and logistic staff are significantly more satisfied with their working environment, compared to administrative or technical/production staff. Job satisfaction also varied significantly across level of occupation; those working in security and logistic positions were significantly satisfied with their jobs compared to other employees (administrative, managerial/professional, and technical/production). Finally, using a hierarchical linear regression, the findings suggest that after using family income as a control variable, individual well-being and perceptions on working environment both emerge as positive, significant predictors to perceived job satisfaction among factory workers. The implication of these findings will be discussed within the framework of Herzberg two-factor motivation theory.
Being unengaged at work but still dedicating time and energy: A longitudinal study.

Overcommitted individuals cannot withdraw from work obligations. We examine whether work goal engagement attenuates the negative effects of overcommitment on work and health outcomes. For overcommitted professionals it should matter whether they dedicate time and energy to work goals they feel bound to or to goals they do not feel attached to (unengaged overcommitment). In a longitudinal study of 752 employees, we examined the interaction between overcommitment (T1) and work goal engagement (T2) in contributing to job and sleep satisfaction (T1 and T3). Results indicated that higher overcommitment and lower work goal engagement were associated with lower job and sleep satisfaction at T3, controlling for T1 job and sleep satisfaction. Overcommitment was only related to lower job satisfaction when work goal engagement was low. No interactive effect was found for sleep satisfaction. These findings support the essential role of goal engagement for well-being and adaptive development in the work domain.
Strategy of teachers in suporting environmentally sustainable development

This study aims to find out: 1) strategy of teachers in instilling character caring for the environment ; 2) successful instilling character caring for the environment; 3) supporting and inhibiting factors for instilling character caring for the environment. The research used in this study is qualitative research. The research subjects were headmaster, deputy headmaster, teachers, and students. Determination of the subject of the study was carried out by purposive sampling technique. The technique of data collection is done by using interview, observation and documentation methods. The type of data analysis uses the Miles Huberman model, namely reduction, data display, and conclusion/data verification. 1) Strategy of teachers in instilling character through materials, methods, and implementation of tasks; 2) Successful instilling character attention can be seen from students who have been able to find answers to the assignments given by the teacher which make the students increase. 3) Supporting factors character development are teachers being role models, able to move other teachers to continue to accompany activities, teachers always appeal, teachers integrate the concept of environmental care in the RPP, syllabus and teaching and learning process. While the inhibiting factor of student character involvement is in the students themselves.
The Dual Nature of Foreign Currency Debt and Its Impact on Firm Performance: Evidence from French Non-Financial Firms

We investigate the impact of foreign currency debt on firm performance for a sample of non-financial French firms studied over the period 2002 to 2012. As foreign currency debt is both a financing and hedging instrument against foreign exchange risk, we examine whether its impact results from an optimal hedging policy or a capital structure policy. We find that foreign currency debt and domestic debt have the same positive effect before the crisis and negative impact after. The capital structure theory or the hedging theory can explain this result. During the crisis period, only corporate hedging theory explains the impact of foreign debt.
Aplikácia viacrozmerných metód pri meraní chudoby

Fighting poverty and social exclusion constitutes one of the European Union’s main goals. The EU understands the word “poverty” to connote insufficient income and unequal access to social wealth. The solution to this problem is considered so crucial that on 12th December 2007 the European Commission designated year 2010 to be the European Year for Combating Poverty and Social Exclusion. In order to reduce poverty, a common understanding of the root factors is necessary. In the article we examine affected households in Slovakia and Czech. Then we analyse the influ- ence of significant factors for poverty. Our analysis is based on data collected during a project in Slovakia and Czech EU SILC 2006. Later this article deals with multivariate evaluation regions of Slovakia and Czech in 2006. Be- cause the input selected indicators of poverty are dependent, we have to transform the dependent indicators to a smaller set of independent principal components and then carry out the evaluation. The result is evaluation of regions according to different point of view poverty. In the next analysis we focused on evaluation of Slovak and Czech regions according to the size of individual component scores (dimension). We used a graphic presentation of achieved results too. By according results of this analysis is possible to state, that they exist man sized differents among regions of Slovak and Czech republic from point of view poverty. The worst situation is on east of Slovakia and on south of Slovakia too. In Czech Republic they are the most poverty-stricken regions on Moravia and on north of Czech. In both of them is the best situation in capital sities and neighbourhood from point of view poverty. They are superior to economic forwardness and standard of living in comparison with others regions. Result from analysis is that economic growth concentrated in only some regions and others regions came to growth of unemployment. The unemployment sent down ability of households to face financial expenses. In Slovakia it showed dependency of poverty from education.
Recognizing Innate Transformational Traits in Public Administrative Services: Are We Doing Right?

ABSTRACT With shifting paradigm, public administration needs even more transformational leaders. A large part of an individual’s leadership potential refers to innate personality traits which are brought out by relevant nurturing processes. Environment, favorable or unfavorable, interacts with these processes and impacts the flourishing of natural potential. Experience promotes the positive growth of innate potential that one possesses. Using data from India, this article looks into the systematic impact of public administrative training institutes on the development of top-tier civil servants. By comparing the performance of officers in public administration training academy possessing innate personality traits suitable for transformational leadership vis-à-vis innate personality traits suitable for transactional leadership, we test whether current training evaluation promotes transformational innate personality traits and suggests the implications. Interestingly, our mix-method study evaluating the entry-level induction training of public administrative leaders reveals that there is a gap between theory and praxis.
Algorithm and Architecture Co-design for High-performance Digital Signal Processing.

Algorithm and Architecture Co-design for High Performance Digital Signal Processing by Jung Kuk Kim Co-chairs: Zhengya Zhang and Jeffrey A. Fessler CMOS scaling has been the driving force behind the revolution of digital signal processing (DSP) systems, but scaling is slowing down and the CMOS device is approaching its fundamental scaling limit. At the same time, advanced DSP algorithms are continuing to evolve, so there is a growing gap between the increasing complexities of the algorithms and what is practically implementable. The growing gap can be bridged by exploring the synergy between algorithm design and hardware design, using the so-called co-design techniques. In this thesis, algorithm and architecture co-design techniques are applied to X-ray computed tomography (CT) image reconstruction. Analysis of fixed-point quantization and CT geometry identifies an optimal word length, intrinsic parallelism, and a mismatch between the object and projection grids. A water-filling buffer is designed to resolve the grid mismatch, and is combined with parallel fixed-point arithmetic units to improve the throughput. The effects of the fixed-point arithmetic on the image quality are analyzed, and an analytical upper bound on the quantization error variance of the reconstructed image is derived. This investigation eventually leads
Estimation and modeling of pinna-related transfer functions.

This paper considers the problem of modeling pinna-related transfer functions (PRTFs) for 3-D sound rendering. Following a structural modus operandi, we present an algorithm for the decomposition of PRTFs into ear resonances and frequency notches due to reflections over pinna cavities. Such an approach allows to control the evolution of each physical phenomenon separately through the design of two distinct filter blocks during PRTF synthesis. The resulting model is suitable for future integration into a structural head-related transfer function model, and for parametrization over anthropometrical measurements of a wide range of subjects.
Dataset Construction Method for Word Reading Disambiguation

The scarcity of large corpora in reading disambiguated words is a major limitation in linguistic analysis and the initiation of a statistical approach to word reading disambiguation. As readings of words are usually not written in documents like meanings of words, therefore, human annotation is necessary but expensive. In this study, a method is proposed to construct a reading disambiguated dataset for word reading disambiguation. The method constructs a dataset of sentences wherein words with ambiguity in reading (pronunciation), called heteronyms, are tagged for correct reading. In this method, a word with unique reading is labeled to a heteronym, and this unique word is used as a query word to collect sentences that include the word. The word in the collected sentences is replaced by the original ambiguous word and the reading corresponding to that of the query word is tagged as the pronunciation of the het-eronym. It was conﬁrmed through experiments that the method was able to collect data effectively, and the collected data was numerically balanced among all the readings of the heteronym.
Determinants of Youth Not in Education, Employment or Training: Evidence from Sri Lanka

The presence of a large proportion of youth neither in education, employment, or training (NEET) signals problems in a country&#8217;s education and labor market systems, and has wide&#8208;ranging negative consequences, extending beyond the individual to the economy and society. Using Sri Lankan Labour Force Survey data for the year 2016 and binomial and multinomial logistic regression models, in this paper we provide the first estimates of NEET&#8208;related risk factors in Sri Lanka. Key risk factors of becoming NEET include being female, being of ethnic and religious minorities, belonging to the older 20 to 24 age group, having very low or very high levels of education, being illiterate in English, belonging to a low&#8208;income household or one headed by a male, having young children, and living in more remote areas. Our findings hold several important policy implications for reducing the NEET rate in Sri Lanka and engaging more youth in education and in the labor force.
In the Time of Frost: El Niño and the Political Ecology of Vulnerability in Papua New Guinea

ABSTRACT Climatic anomalies associated with El Niño bring prolonged droughts and night-time frosts that devastate subsistence gardens in the Papua New Guinea highlands. As a customary process of adaptation to the subsequent food insecurity caused by crop-destroying frosts, people migrate to lower altitude areas where kin and friends provide sustenance and social support. However, with increasing economic development and the demise of collective kin endeavours in the region, long-distance migration networks no longer appear to offer people respite from food insecurity. In this paper, I examine the changes in social responses to El Niño-caused food shortages at varying scales – from subsistence farmers to international aid agencies – over the past several El Niño events. The paper explores the production of vulnerability when customary social-ecological systems of adaptation intersect with regional and national politics, development efforts, and humanitarian aid agencies.
Self-Regulated Learning for New Tertiary Students in the Bachelor of Psychology Degree Course

The transition from senior high-school to university is an important phase for new tertiary students to which they must adapt, particularly in academic matters. This study was conducted with new students (n = 95), commencing studies in 2017 at the Faculty of Psychology, Universitas Padjadjaran, Bandung, West Java, to obtain a picture of their abilities in self-regulated learning. The Bachelor of Psychology course, which is a Science subject, involves a great deal of social science, and so requires a unique study strategy, to enable new students to adapt in the academic field. This study utilized the Motivation Strategy Learning Questionnaire (MSLQ) measurement instrument scale, supplemented by a survey questionnaire regarding academic results. Some 70% of new tertiary students in the Bachelor of Psychology (BPsych) course organized their goals and regulated their motivation internally (internal goal motivation). The study strategy most used to regulate their cognition was elaboration, whilst there still tended to be a few who capitalized upon peer learning and critical thinking strategies in their learning processes (40%). The aspects of effort regulation and help seeking were found to be able somewhat to predict their Student Achievement Index (Indeks Prestasi Siswa–IPS). For this reason, the learning environment needs to be conditioned so that these two aspects are facilitated optimally.