Miracle-dz/UniFAR-FTUs huggingface dataset:
Location Choice of Inward FDIs in Korea: The Case of Japanese FDIs with Unexpected Shock in Home

Sometimes, a change in investment motives, caused by an unexpected shock such as national disasters, can make the location pattern of foreign direct investments (FDIs) hosted in a neighboring country. In this paper, the location of new manufacturing FDIs of Japan in Korea from 2008 to 2015 is analyzed. The occurrence of "East Japan earthquake" in 2011 changed the location pattern of Japanese FDIs by industry group. However, general attracting factors, such as easy accessibility to service establishments, continues to be an important location factor, regardless of the industry group. Therefore, to be an effective strategy, the regional economic development strategy of the host country attracting FDIs, should be flexible to the sudden changes in the natural environment of the source country of FDIs, and focus more on the general factors which attract FDIs.
Detection of reduced carbon in a basalt analogue for martian nakhlite: a signpost to habitat on Mars

Abstract The Nakhla meteorite represents basaltic rock from the martian upper crust, with reduced carbon indicative of the ingress of carbonaceous fluids. Study of a terrestrial analogue basalt with reduced carbon from the Ordovician of Northern Ireland shows that remote analysis could detect the carbon using Raman spectroscopy. Analysis of gases released by crushing detects methane-rich fluids in the basalt and especially in cross-cutting carbon-bearing veinlets. The results suggest that automated analysis on Mars could detect the reduced carbon, which may be derived from magmatic and/or meteoritic infall sources.
Remodeling to Powertype Pattern

Nowadays, models often stand as first class objects in the field of software development. That's why clarity and understandability are important markers of high quality models. Therefore, several patterns exists that can help to improve model quality. However, developing a domain specific language is affected by understanding the domain of interest which often evolves during the development of the software system. This evolution again causes the language to change either. As a consequence of that, meta-modeling patterns are oftentimes inserted in an existing meta-model which results in various adaptions to migrate the system into a valid state. Since the current research has not discovered any techniques to cope with a remodeling to such a pattern these adaptions have to be done manually. Focusing on this challenge, we present in this article an evolution operator that creates a powertype within an existing model and furthermore adapts the other related models simultaneously. Keywords-powertype, extended powertype, remodeling to patterns, meta-model evolution, meta-model, deep instantiation
Scintillation Detectors in Modern High Energy Physics Experiments and Prospect of Their use in Future Experiments

The scintillation detector (SD) based on organic plastic scintillator (OPS) is one of the basic detectors in HEP experiments. Technologies for production of OPSs as strips and tiles, their optical and physical properties, light collection based on wavelength shifting (WLS) fibers coupled to multipixel vacuum and silicon PMs are presented. SDs are multifunctional: calorimeters, triggers, tracking, time-of-flight and veto systems are the examples of their applications. The use of SDs in many HEP experiments on the search for quarks, new particles and H bosons (D0, ATLAS, CMS), quark-gluon plasma (ALICE), CP violation (LHCb, KLOE), ν-oscillation (MINOS, OPERA), cosmic particles (AMS-02) are discussed. SDs hold great promise for future HEP experiments due to their ability of high segmentation, WLS fiber light collection and multipixel silicon PM readout.
Using Data Mining Classifier for Predicting Student’s Performance in UG Level

In the realm of digitalization, the competition in the field of education has expanded drastically. To analyze this increment the education data mining has played a vital role. In this paper, student’s historical record and the relevant features like their living habits, backgrounds and so forth are utilized as data set (corpus). The performance of students is evaluated using four distinct classifiers named as decision tree, random forest, naive bayes and rule induction. Different classifiers show different accuracy depending on different algorithms used in it. These analyzed results are explicitly used to predict the upcoming grades of the students and the relevant features (like access to the Internet, study time, etc.) which affect the academic performance of the students.
SERRE DUALITY FOR NON-COMMUTATIVE P-BUNDLES

Let X be a smooth scheme of finite type over a field K, let E be a locally free OX -bimodule of rank n, and let A be the non-commutative symmetric algebra generated by E. We construct an internal Hom functor, HomGrA(−,−), on the category of graded right A-modules. When E has rank 2, we prove that A is Gorenstein by computing the right derived functors of HomGrA(OX ,−). When X is a smooth projective variety, we prove a version of Serre Duality for ProjA using the right derived functors of lim n→∞ HomGrA(A/A≥n,−).
An Examination of Science High School Students’ Motivation towards Learning Biology and Their Attitude Towards Biology Lesson

The purpose of this study is to examine motivation of students studying in Science High School towards learning biology and their attitude towards biology lesson. The sample of the study consists of 564 high school students (308 females, 256 males) studying at two science high schools in Aksaray, Turkey. In the study relational screening method which is a descriptive survey model was utilized. “Academic Motivation Scale for Learning Biology” consisting of 4 sub-dimensions (intrinsic motivation, amotivation, extrinsic motivation-career and extrinsic motivation-social) and 19 items and “Biology Science and Course Attitude Scale” consisting of 3 sub-dimensions (interest, pleasure and anxiety) and 23 items were utilized. Data were interpreted in accordance with arithmetic mean, percentage, frequency and significance level. Significance level was taken as 0.05. As a result of the research arithmetic means of students’ intrinsic motivation and extrinsic motivation-career sub-dimensions were found to be above the scale mean. Students’ mean score in amotivation and extrinsic motivation-social sub-dimensions were below the scale mean. However, students’ arithmetic mean in each of sub-dimensions in attitude scale were average. Highest relation among sub-dimensions of motivation and attitude scales was found to be between intrinsic motivation and interest, and intrinsic motivation and pleasure sub-dimensions. Nevertheless, as a result of the evaluation done in terms of students’ gender and class level it was determined that there is significant difference between their gender and class levels in sub-dimensions of motivation and attitude scales.
Do Iranians and Americans Congratulate their Friends Differently on their Birthdays on Facebook? A Case for Intercultural Studies

Cross-cultural analyses of speech acts are among the hot topics in contrastive studies and up to now various researchers have explored this very issue. Despite the ample studies in this field, the speech act of congratulation, especially the subject of ‘birthday congratulation’ remains untouched. The study investigates the possible effects of being an Iranian or an American typical Facebook user upon the kind of the category which is drawn upon to send an addressee a birthday congratulation note on Facebook. The data collected are 120 birthday congratulation notes issued by 60 Iranians and 60 Americans on Facebook. Seven dominant categories emerged from the study namely ‘Illocutionary Force Indicating Device’ (IFID), ‘Blessing Wishes’, ‘Divine Statements’, ‘Poem and Pieces of Literature’, ‘Endearments’, ‘Felling Expressions’ and ‘Compliments’. Moreover, the possible significant differences between the two groups within these categories were explored. The paper concluded that, in five categories, the differences between the two groups proved significant where the two categories ‘IFID’ and ‘Blessing Wishes’ did not show any significant differences.
Relationship Between Metabolic Syndrome and Non-Dipping Blood Pressure Pattern in Obese Patient

Ozet Background: Metabolic syndrome and non-dipping blood pressure pattern are related with cardiovascular disease. It is considered that there may be common pathophysiological mechanisms of these clinical entities. We aimed to investigate the association between metabolic syndrome and nondipping blood pressure pattern. Method: 118 consecutive newly diagnosed metabolic syndrome patients with obesity who underwent 24-hour ambulatory blood pressure monitoring were included in the study. They were divided into dipper (n = 46) and non-dipper (n = 72) groups. Nocturnal non-dipping blood pressure pattern is defined as the lower than 10 % reduction in nocturnal mean systolic and/or diastolic blood pressure. Results: In the whole population, mean 24-hour ambulatory blood pressure was 146/96 mmHg. Although, the two groups was similar in terms of basic characteristics; the frequency of metabolic syndrome was significantly greater in patients with non-dipping pattern (p=0.038). Conclusion: In this study metabolic syndrome was found to be more prevalent among patients with non-dipping pattern of hypertension. This may indicate a common pathophysiologic mechanism of metabolic syndrome and non-dipping blood pressure pattern in obese patient. Amac: Metabolik sendrom ve non-dipper kan basinci paterni kardiyovaskuler hastaliklarla iliskilidir. Bu klinik durumlarin ortak patofizyolojik mekanizmalariyla iliskili olabilir. Metabolik sendrom ile non-dipper kan basinci arasindaki iliskiyi arastirmayi amacladik. Yontem: 24 saatlik ambulatuar kan basinci takibi yapilan yeni tani almis 118 obez metabolik sendromlu hasta calismamiza dahil edildi. Bunlar dipper (n = 46) ve non-dipper (n = 72) olmak uzere iki gruba ayrildi. Gece non-dipper kan basinci, gece ortalama sistolik ve/veya diastolic kan basinci azalmasi %10 dan daha az azalma olusu olarak tanimlandi. Bulgular: Calisma gurubumuzun ortalama 24 saatlik kan basinci ortalamasi 146/96 mmHg idi. Iki grubun temel karakteristik ozellikleri benzer olmasina ragmen, non-dipper tansiyon paterni olan grupta metabolik sendrom sikligi anlamli derecede daha fazla idi (p=0.038). Sonuc: Bu calismada non-dipper kan basinci paterni olan hastalarda metabolik sendromun daha fazla bulundugu saptandi. Bu durum, obez hastalarda metabolik sendrom ile non-dipper kan basincinin ortak bir patofizyolojik mekanizma icerdigini belirtebilir.
A balanced approach to modelling rotating stably stratified geophysical flows

We describe a new approach to modelling three-dimensional rotating stratified flows under the Boussinesq approximation. This approach is based on the explicit conservation of potential vorticity, and exploits the underlying leading-order geostrophic and hydrostratic balances inherent in these equations in the limit of small Froude and Rossby numbers. These balances are not imposed, but instead are used to motivate the use of a pair of new variables expressing the departure from geostrophic and hydrostratic balance. These new variables are the ageostrophic horizontal vorticity components, i.e. the vorticity not directly associated with the displacement of isopycnal surfaces. The use of potential vorticity and ageostrophic horizontal vorticity, rather than the usual primitive variables of velocity and density, reveals a deep mathematical structure and appears to have advantages numerically. This change of variables results in a diagnostic equation, of Monge–Ampère type, for one component of a vector potential ${\varphib}$, and two Poisson equations for the other two components. The curl of ${\varphib}$ gives the velocity field while the divergence of ${\varphib}$ is proportional to the displacement of isopycnal surfaces. This diagnostic equation makes transparent the conditions for both static and inertial stability, and may change form from (spatially) elliptic to (spatially) hyperbolic even when the flow is statically and inertially stable. A numerical method based on these new variables is developed and used to examine the instability of a horizontal elliptical shear zone (modelling a jet streak). The basic-state flow is in exact geostrophic and hydrostratic balance. Given a small perturbation however, the shear zone destabilizes by rolling up into a street of vortices and radiating inertia–gravity waves.
Density Account of Cyanobacteria (Genus: Trichodesmium) in Selected Cebu Provinces, Philippines

Cyanobacteria of the genus Trichodesmium contribute significant amounts of nitrogen (N) to tropical and subtropical oligotrophic oceans through N2 fixation (Capone et al., 1997). The spatial and temporal distributions of Trichodesmium sp. must be understood, to know the mechanics of the nitrogen inputs in the marine ecosystem. Cell counts, specifically trichome (filament) and colony counts, can be effective (Letelier and Karl, 1996; Post et al., 2002; Tyrrell et al., 2003). There is little study on Trichodesmium species identification in Central Visayas, Philippines. Although the size is usually microscopic, but when conditions are ideal for them both can undergo a phenomenon known as “bloom”. Cyanobacteria are not always visible on the surface of water. Generally, they are largely in one particular area. Heavy blooms can overtake water bodies and even check out portions of stream or rivers. But it is difficult to predict when a bloom will occur. Trichomes and colonies vary in size and their counts may not represent true Trichodesmium biomass. Cell counts can be laborious, and identifying trichomes to species based on morphology can be confounding. Trichodesmium biomass was long been considered to be concentrated in the upper 50 m of the water column (Letelier and Karl, 1996; Carpenter et al., 2004). The collection of Trichodesmium species in this study via net tows is limited to surface and subsurface regions of at least 10m deep along the coastal margins, because long hauls may damage the fragile trichomes.
Using Serious Games in Data Communications and Networking Management Course

ABSTRACT Data communications and networking management is one important course taught in business schools. To prepare themselves for future career, students need to acquire the data communications skills and the higher-order cognitive skills (HOCS) from this course so that they relate the relevance of the theory to practical problems. Prior literature shows that serious games offer an ability to trigger enjoyment in learning this difficult subject. Therefore, in this study, we empirically examined the effects of serious game feature on students’ learning experience, focusing particularly on concentration and enjoyment, as well as measuring the perceived improvement in their HOCS. The results revealed that features of serious games have positive effects on students’ concentration and enjoyment, and such learning experience did indeed significantly improve their perceived HOCS. The results encourage faculty members to adopt serious games to teach difficult subjects in the field of management information systems.
Qualitative Analysis: Identification of the Factors Influencing e-Learning System Acceptance

This paper demonstrates the results of our research activities, which investigated the positive and negative aspects of an e-learning system called Moodle. The research involved 235 students, providing us with unstructured answers about their opinions on what features are most important when using an e-learning system. The research focused on what students felt was missing and what they thought were the most important and beneficial features for an e-learning system used for on-line learning. Based on their answers, we conducted a qualitative analysis and identified the main factors that influenced the acceptance of e-learning systems. Based on the results of the qualitative analysis, we have proposed a theoretical acceptance model that could be used to measure the acceptance and use of an e-learning system. Keywordse-learning system; Moodle; acceptance
A Cyber Politics: The Transformation of Marketing Politics in The Cyber Age

As the oldest study after philosophy, communication studies is currently listed as the forefront of the development of the global media environment. The emergence of new media presents a conventional media convergence phenomenon, starting with the appearance of the internet and mobile communications access with highly speed of the system. By having the speed of access, new media is able to build a new community that is encapsulated in virtual communities. This development is considered as a radical challenge (extreme) by conventional theory, because it is dominated by new media communications approach to international communication (interaction of global/transnational). It includes political discourses. With the purpose of understanding the dynamics of contemporary media seriously, it requires the researchers to leave the meta-theoretical frame work of modernization, dependency theory, and globalization; and to focus sharply on a study that yields insight into the context of the communication process, with a focus on the analysis of cyber theory, including the social and political implications. Media, through communication studies across all reality always meshes among social, economic and political. By having the initial assumption, media become something interesting to be researched. Moreover, a brief study bringing new awareness to a new theory called Cyberpolitics has been developed. With a qualitative approach the researchers will face the reality in a critical way. This research is also focused on providing an explanation about the transformation of political marketing in the era of Cyber Media Keywords—CyberPolitics, Global Communication, Cybermedia Space
Technical efficiency of small-scale honey producer in Ethiopia: A Stochastic Frontier Analysis

Ethiopian farmers have a long tradition of beekeeping and the country has huge potential for honey production. However traditional mode of production still dominate the sub sector which negatively affect the total production and productivity. A number of studies has been conducted to better understand the working honey production however none of them systematically investigate the extent of technical efficiency of the sub-sector. This paper uses Stochastic Frontier production model to quantifying the extent of technical efficiency and identify exogenous determinant of inefficiency. The result showed that consistent with other studies traditional practice dominate small scale honey production in Ethiopia. The finding also revealed that use of purchased inputs such as bee forage and other supplement is very limited among honey producers indicating that natural bee forage is the primary source of bee forage. The immediate consequence of all these is low production and productivity. The number of hives the household owns, whether the household used improved apiculture technologies, availability of natural forest which is the primary sources of nectar for bees and amount of land owned by the households were found to have a significant influence on the amount of honey produced by beekeeper. Our result further showed that the mean technical efficiency of honey producers is 0.79 implying that, on average honey producer produce 80 percent of the maximum output. The implication is that 20 percent of the potential output is lost due to technical inefficiency. Number of hives owned by a honey produces, distance to district town-a proxy to market access, household wealth, and whether the household head has a leadership role in the PA affect the technical efficiency of honey producers. The finding suggest that policies that aim to expand the use of improved hives is expected to increase the honey production at household level. The result also suggest that investment on rural infrastructure would be instrumental in improving technical efficiency of honey producer.
Simulation de comportements pour agents rationnels situés

Our research aims at simulating life-like behaviors that can be seen as plausible (rational) by a human observer, e.g. simulating the behavior of people that have to clear a building during a fire, or the modelling of characters in video games. This work should clearly be seen in the context of Software Engineering and Distributed Artificial Intelligence. At present, it is to notice that there is no Integrated Development Environment (IDE) dedicated to modelling of behaviors, as it exists graphical engines which can be reused in various applications. In this paper, we would like to demonstrate that, from the viewpoints of reusability and software engineering, there is a gap to fill between plan generation on the one hand, and reactive systems often used for behavior simulation on the other hand.
Mitochondrial DNA phylogeography of Glyptothorax fokiensis and Glyptothorax hainanensis in Asia

Whole mitochondrial DNA cytochrome b sequences in 62 fish from 13 locations in Southeast China identified two major clades corresponding to two allopatric taxa, Glyptothorax fokiensis fokiensis and Glyptothorax fokiensis hainanensis. Reciprocal monophyly and a molecular clock separation between these two taxa of 2·3 million years indicate these taxa should be elevated to species. Mismatch distributions and Fu’s FS statistic suggest that both G. fokiensis and G. hainanensis have experienced recent population expansions. Analysis of molecular variance indicates that most of the genetic variation resides among populations within both species, with ΦST= 0·645 for G. fokiensis and 0·801 for G. hainanensis, suggesting restricted gene flow among populations. Significant correlations between the geographic and the genetic distances provide support for the importance of geographic isolations between populations. Nested clade analysis also confirms low levels of genetic exchanges between the two major groups and between populations within each group. The phylogeographical pattern among populations of Glyptothorax in East Asia can be attributed to historical fragmentations, demographic expansions and occasional long-distance dispersals stimulated by tectonic activity and Ice Age climate changes.
Fast Computation of Significance Threshold in QTL Mapping of DynamicQuantitative Traits

Functional Mapping is a popular statistical method in QTL mapping studies for longitudinal data. The threshold for declaring statistical significance of a QTL is commonly obtained through permutation tests, which can be time consuming. To improve the computational efficiency of a permutation test of mixture models used in Functional Mapping, we first quantified the correlation between QTL and longitudinal data, using a curve clustering method. Then, the QTLs which are highly correlated with the outcome were computed in the improved permutation tests. As a result, it reduces the amount of computation in permutation tests and speeds up the computation for Functional Mapping analysis. Simulation studies and real data analysis were conducted to demonstrate that the proposed approach can greatly improve the computational efficiency of QTL mapping without loss of accuracy.