Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic writing alternative assessment: enhancement of the academic writing skill on students from the modern language program at Pontificia Universidad Javeriana Bogota, through the implementation of an academic writing self-assessment portfolio

In this Mixed Method Study Research, it was intended to enhance the academic writing skill performance in a group of students belonging to the Intermediate level of English from the Modern Languages program at Pontificia Universidad Javeriana Bogota, by designing and applying the Academic Writing Assessment Portfolio. For this purpose, a Theoretical framework was developed with the following topics: Writing, academic writing, assessment, alternative assessment, self-assessment, peer-assessment, language transfer, portfolios, types of portfolios and portfolio design. For the data collection, several tools were used such as: A semi-structured questionnaire, a portfolio that contained a rubric, an editing symbols chart, an editing symbols workshop, and a pre and post-test,and questionnaire to evaluate the portfolio application. The findings indicated that the Academic Writing Assessment Portfolio turned out to be a useful and effective tool for improving the academic writing skill of the target population. Thus, it is possible to affirm that the instrument could be used as an alternative assessment strategy to assess and practice academic writing in Modern Language classes.
Model of Corporate Value Improvement Through Investment Opportunity in Manufacturing Company Sector

This study aims to analyze the significance of the direct and indirect effect of institutional ownership (INST), profitability (ROI), funding policy (DER), and dividend policy (Tobin’s Q) through investment opportunity (MV/BVE). The research data used 21 samples of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2012-2016 period. Data analysis used path analysis with the help of EViews 9 and Sobel test to know the effect of investment opportunity as an intervening variable. The interpretation findings of the first line analysis model show that Profitability directly affects positively and significantly on Corporate Value. Whereas, based on second-line analysis model, Funding Policy and Dividend Policy indirectly have significant effects on Corporate Value through Investment Opportunity variable. Simultaneously, all independent variables affect 97.45% of Investment Opportunities and amounted to 97.97% of Corporate Value through Investment Opportunities. Keywords : Corporate value, institutional ownership, profitability, funding policy, dividend policy, investment opportunity. * Department of Management, Faculty of Economics, Universitas Islam Sultan Agung (UNISSULA), Jl. Kaligawe Raya Street Km.4, Semarang, 50112, PO Box 1054/SM, Indonesia. https://doi.org/10.21632/irjbs.12. 2.185-196
ATTITUDE TOWARDS BORDER TOURISM AND ITS RELATIONSHIP WITH VISITOR SATISFACTION AND LOYALTY

This study proposes new knowledge about tourism developed in border areas. In this study, structural equations models based on variance are applied, with a sample of 583 tourists. The study was conducted on the northern border of the Dominican Republic and Haiti. The results show that there is a positive influence of the attitudes of tourists in the value they perceive in the border destination, in their satisfaction with the destination and in the loyalty they have towards the place. It has been observed a positive influence of the value perceived by border visitors with satisfaction and loyalty.
A Lightweight and Efficient Schoolbook Polynomial Multiplier for Saber

Saber is a lattice-based post-quantum cryptography (PQC) algorithm, which is still a candidate in the 3rd Round of National Institute of Standards and Technology (NIST) PQC standardization process. Saber provides a great advantage of being lightest among all the candidates, so a suitable choice for resource-constraint platforms. Polynomial multiplication occupies most of the resources in hardware implementation of Saber, which needs to be optimized for the efficient hardware implementation. In this work, a lightweight and efficient schoolbook polynomial multiplier is proposed. The architecture includes an efficient multiplication strategy that compute four coefficient-wise multiplication per cycle along with the multiplication operand loading technique being designed for the compact multiplier. The proposed multiplier on Artix-7 FPGA, achieves a frequency of 130 MHz and fits into 201 slices. Compared with the state-of-the-art lightweight schoolbook implementations for Saber, our design has a 30% improved frequency and saves 15.8% of the clock counts at the cost of only 3.7% more LUTs.
Clinical applications of loudness scaling

Fitting rules used in auditory rehabilitation usually have their main focus on detection thresholds. In state-of-the-art nonlinear hearing aids supra-threshold measures of the ear are also important and some of this information can be derived from loudness scaling. In three studies we examined the added value of loudness scaling for clinical applications. In a first study we performed loudness scaling in a group of musicians with primarily normal hearing. We measured loudness scaling with two narrowband (750 Hz and 3 kHz) and a broadband signal and investigated the relation with audiometric threshold. In a second study we examined the difference between monaural and binaural loudness perception in a subgroup of musicians. Finally we examined the correlations between self-reported problems and measures obtained from loudness scaling in a different group of hearing impaired employees. Our ndings indicate that unaided loudness scaling may not be appropriate as a basis for prescription rules, but aided loudness scaling can be used successfully as a verification tool in the fine-tuning stage and to compare different outcomes.
The Effect of Using the Learning Cycle Method in Teaching Science on the Educational Achievement of the Sixth Graders

Abstract The study investigated the effect of using the learning cycle strategy in teaching on the achievement of sixth graders in science. To achieve this goal, eighty students were randomly selected then divided into two groups-the experimental group which was taught by using the learning cycle, and the control group which was taught by the traditional method. Data were collected using the following two instruments: a number of teaching situations which were planned by learning cycle and achievement test. To answer the questions, t-test was used. The study indicated that using the learning cycle reflects that there were greater effects on academic achievement. The researcher recommends that learning cycle should be used in science teaching, and more studies should be conducted about the effect of this method on other instructional variables.
Enhancement of Performance and Motivation through Application of Digital Games in an English Language Class.

The study was conducted to find out what impact a d igital game had on students’ learning performance and motivation. A quasi-experimental st udy was performed with two groups of students. The experimental group was taught using t he digital game Kahoot whereas the control group was taught with the conventional meth od. Pre-tests, post-tests, and questionnaires on the students’ motivation and atti tudes toward gamification in language learning were the instruments used in this study. T he data were analyzed using Independent t-tests and One-way Analysis of Covariance. The res ults revealed statistically significant differences with regard to learning performance and motivation at 0.05. The experimental group obtained higher scores than the control group , and the motivation of students in the experimental group was much higher than that of the control group. In addition, the results of a survey indicated that students had positive at titudes towards application of digital games in language learning.
Relationships of Brand Image, Customer Satisfaction and Brand loyalty: In case of Telecommunication sector

In the 21st century, Customer life environment became better compared to ten years ago. Consequently, They are more likely to purchase brand products or services than common products or service such as smart phone, car, clothes, software to differentiate from others. Therefore, Companies actively develop their brand for extending the market size and creating sustainable business. Because well brand image leads to increase customer satisfaction and brand loyalty. Research study focused to investigate relationship among Brand Image, Customer Satisfaction and Brand Loyalty in telecommunication industry. About 70 percent of population in Mongolia actively use cellphone network and in the market, four companies such as Unitel, Mobicom, Gmobile and Skytel successfully provides the service to local country. Primary data will be collect from one hundred fifty customers who have 20-40 ages and SPSS software will be used in the analyzing process. From the result, the study will produce suggestion and conclusion which can help the companies to produce brand strategy and confirm relationship of independent and dependent variables according to literature review.
Managing technical changes from the scales of legal regulation: German clean cars against the European pollutant emissions regulations in the 1980s

ABSTRACT In this paper, we analyze how public regulators and regulated businesses interpreted and influenced legal change implying technological shift. Based on the economics literature on technical change and legal history literature, we provide a constructivist and systematic framework to analyze law as mediation between regulators and firms’ respective behaviors. The analyzed historical case deals with the attempt of automobile multinationals to shape the European Economic Community vehicle emissions regulations. It focuses on the German fiscal policy to promote the sale of the so-called Clean Cars during the mid-1980s. We concluded that the regulation proposed by European Commission in the field of competition and environmental protection law successfully solved the clash between legitimate goals around emissions regulations. It covers implication in terms of normative order; political objectives coherency; firms’ profit strategies and relationships between firms and regulators through European trade associations. We find that the key factor of the firms’ positions to the law lies in information exchanged with political institutions, whose legal regulation acts as a signal integrated into the long-term firms’ strategies.
An analysis of mathematical connection ability based on student learning style on visualization auditory kinesthetic (VAK) learning model with self-assessment

This research aims to analyze the quality of VAK learning with self-assessment toward the ability of mathematical connection performed by students and to analyze students’ mathematical connection ability based on learning styles in VAK learning model with self-assessment. This research applies mixed method type with concurrent embedded design. The subject of this research consists of VIII grade students from State Junior High School 9 Semarang who apply visual learning style, auditory learning style, and kinesthetic learning style. The data of learning style is collected by using questionnaires, the data of mathematical connection ability is collected by performing tests, and the data of self-assessment is collected by using assessment sheets. The quality of learning is qualitatively valued from planning stage, realization stage, and valuation stage. The result of mathematical connection ability test is analyzed quantitatively by mean test, conducting completeness test, mean differentiation test, and mean proportional differentiation test. The result of the research shows that VAK learning model results in well-qualified learning regarded from qualitative and quantitative sides. Students with visual learning style perform the highest mathematical connection ability, students with kinesthetic learning style perform average mathematical connection ability, and students with auditory learning style perform the lowest mathematical connection ability.
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS

Scientific research adopts qualitative and quantitative methodologies in the modeling and analysis of numerous phenomena. The qualitative methodology intends to understand a complex reality and the meaning of actions in a given context. On the other hand, the quantitative methodology seeks to obtain accurate and reliable measurements that allow a statistical analysis. Both methodologies offer a set of methods, potentialities and limitations that must be explored and known by researchers. This paper concisely maps a total of seven qualitative methods and five quantitative methods. A comparative analysis of the most relevant and adopted methods is done to understand the main strengths and limitations of them. Additionally, the work developed intends to be a fundamental reference for the accomplishment of a research study, in which the researcher intends to adopt a qualitative or quantitative methodology. Through the analysis of the advantages and disadvantages of each method, it becomes possible to formulate a more accurate, informed and complete choice. Article visualizations:
Et tu, Brute? Surprising Actions and Their Market Reaction

We contribute to competitive dynamics research by using an Event System Theory lens to explain how surprising competitive actions explain market value for both the actors and the actee firms. We propose that surprising competitive actions produce a negative impact on a surprised firm while the firm conducting the action receives a positive impact to their abnormal returns. Conducting an event study over a five-year period, we found that the impact of surprising actions is greater than the impact of non-surprising actions. Our findings also provide justification for firms to invest in competitive intelligence functions for environmental scanning.
Extending the Objective Motion Cueing Test to Measure Rotorcraft Simulator Motion Characteristics

The Objective Motion Cueing Test (OMCT) refers to a way to measure motion characteristics of a simulation objectively, by constructing so-called frequency response functions of the cueing system. Research in recent years has applied the OMCT to a number of fixed-wing research simulators. However, the effect of aircraft dynamics on predicted motion fidelity of the OMCT is poorly understood. The goal of this research therefore is to increase the understanding of the OMCT, by applying it to helicopter simulations. From literature, it was found that abstractions on the input signals of the OMCT may affect the representativity of predicted motion characteristics. As a first step in this thesis, the effect of these assumptions on the predicted motion characteristics of the OMCT was studied. It was seen that the current OMCT has a set of input signals which may be representative for heave motion, but might not be representative for pitch and surge motion characteristics. Therefore it was investigated whether a potentially superior OMCT, better representing helicopter motion, can be defined. An OMCT was tailored to longitudinal helicopter motion. Notable differences in pitch and surge motion characteristics were found. However, for pilot-in-the-loop training, the aircraft motion does not only depend on the dynamics of the aircraft model, but also on pilot input. Therefore, using pilot-in-the-loop simulation data, the effect of manual pilot control behaviour on the proposed methodology was studied. It was seen that, although differences were identified, the main trend of the frequency response functions was determined by the dynamics of the helicopter model, not the pilot input. Further research is recommended to evaluate the current set of input signals of the OMCT for a variety of models, also incorporating lateral motion, and tasks using a similar method presented in this thesis.
Network computations in artificial intelligence

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Research on Inter-turn Short Circuit of Armature Windings in the Multiphase Synchronous Generator-Rectifier System

The multiphase synchronous generator–rectifier system could provide an ideal DC power source for more electric aircraft (MEA). When the inter-turn short-circuit fault occurs in phase windings of the generator, a large short-circuit current would be introduced inside the armature windings, which could cause severe damages to the system for overheat in the windings and irons as well as huge electromagnetic forces on the end coils. To improve the reliability of the MEA, this study researches on the inter-turn fault of the multiphase generator–rectifier system, including the theoretical analysis, numerical simulation and experimental verification. A 12-phase system is taken for example, and a multi-loop mathematical model is built up to calculate all voltages and currents in the multiphase synchronous generator–rectifier system with armature inter-turn fault. Many factors are thoroughly considered in the model, including the location and short-turns of fault, space harmonics of air-gap magnetic field and the changing circuit topology of the system. The mathematical model is verified by fault experiment results. Moreover, the electric characteristics of the fault are summarised, which could provide a quantitative basis for early detection of the inter-turn faults in the multiphase generator–rectifier system.
Direct Measurement of Power Dissipated by Monte Carlo Simulations on CPU and FPGA Platforms

In this technical report, we describe how power dissipation measurements on different computing platforms (a desktop computer and an FPGA board) are performed by using a Hall effect-based current sensor. The chosen application is a Monte Carlo simulation for European option pricing which is a popular algorithm used in ﬁnancial computations. The Hall effect probe measurements complement the measurements performed on the core of the FPGA by a built-in Xilinx power monitoring system.
Optimal Event-triggered Control with Communication Constraints

Event-triggered control is considered as an enabling technology to master the increasing complexity of modern control systems with the ability to acquire data from a multitude of networked sensors. This work contributes to the endeavor for a better understanding of event-triggered control in the context of stochastic optimal control. We derive design guidelines and a detailed characterization for optimal event-triggered controllers in an extended framework of linear quadratic control that takes communication constraints into account.
Spatially Enhanced Local Binary Patterns for Face Detection and Recognition in Mobile Device Applications

Spatially Enhanced Local Binary Patterns for Face Detection and Recognition in Mobile Device Applications Jeaff Wang Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2013 Face detection and recognition has been very popular topics. Recently, its applications for mobile devices have gained tremendous attention due to the rapid expansion of the market. Although numerous techniques exist for face detection and recognition, only a few solve realistic challenges under the mobile device application environment. In this thesis, we propose an automatic face authentication system including both face detection and recognition components for mobile device applications by using spatially enhanced Local Binary Patterns (LBP) feature extraction. The first contribution is to propose a fast and accurate face detector by using LBP features and its spatially enhanced variant. The simplicity of LBP ensures low computational complexity and spatially enhanced LBP achieves high accuracy. The second contribution is to propose color based spatially enhanced LBP features for face recognition. The proposed features achieve high accuracy by extracting complementary information from color channels and spatial correlations between LBP features.
Analysing British sign language through the lens of systemic functional linguistics

Approaches to understanding language via Systemic Functional Linguistics (SFL) have resulted in a compendium of literature focussing on language as a ‘social semiotic. ’ One such area of this literature comprises systemic functional grammars: descriptions of various languages and the way in which they create meaning. Despite the application of SFL to numerous languages and the creation of systemic functional grammars, a common thread is that of modality: SFL has been applied to numerous languages in the spoken and written modalities, but not in any detail to languages in the visual-spatial modality. My thesis presents an initial attempt at analysing British Sign Language (BSL) through the systemic functional lens. Calling on various theories and methods found in sign linguistics and SFL, I perform an analysis on a sample of BSL clauses (N = 1,375) from three perspectives: how BSL manages exchanges of communication (the interpersonal metafunction); how BSL encodes aspects of experience and reality (the experiential metafunction); and how BSL may be organised to produce a coherent text with variance in information prominence (the textual metafunction). As a result, I present three sets of system networks based on these three metafunctions, complete with realisation statements and examples. This thesis provides considerable impact. From an academic perspective, this is the first in-depth systemic functional description of a language in the visual-spatial modality, providing insight both into how such languages function, and how analyses of these languages may feed back into those of spoken and written languages. From a social perspective, the BSL system networks can assist language learners of any level as a point of reference in clause construction. Furthermore, intermediate and higher BSL qualifications stipulate knowledge of sign linguistics as a required component, yet these assessments are based on resources that have not been updated in nearly twenty years. As such, the products of this thesis may go towards informing future BSL assessments.