Miracle-dz/UniFAR-FTUs huggingface dataset:
Interferometric multi-core fiber optic gyroscope under temperature changing environment

We have proposed an interferometric fiber optic gyro (I-FOG) with a novel sensing fiber coil consisting of multi-core fiber (MCF) spliced with fan-in/fan-out (FIFO) devices. This sensing coil can improve the sensitivity of I-FOG without escalating the hardship of winding process of fiber to form coils. We have fabricated a seven-core MCF coil with FIFO devices and demonstrated the proper operation of the proposed I-FOG for the first time. The angular random walk performance of 0.002 deg/√h was achieved, thereby confirming that the seven-core waveguide loop works successfully as a Sagnac interferometer as expected. In addition, we evaluated the effect of temperature changes ofMCF and FIFO devices that cause fluctuations in the measured rotation rate. We confirmed that this effect shows essentially the same features as Shupe effect (non-reciprocal phase shift error due to changing environmental temperature) which is a well-known feature of conventional I-FOGs.
An Interpretive Phenomenological Analysis Exploring the Concepts of Happiness as an Emotion, in a Millennial Generation, Using Photo Elicitation

The millennial generation, a generation marked as self-entitled; having to grow up surrounded by social media and still seek happiness on a day to day basis (Park et al., 2014). Social media in many ways makes happiness much more difficult to achieve for the younger generations (Bertoncini & Schmalz 2013). This research aims to explore millennials’ lived experience of happiness from their own perspective. Using photo elicitation, this study aimed to delve into what the modern definitions of happiness are and what makes a millennial happy. Using disposable cameras and semi-structured interviews, an Interpretive Phenomenological Analysis (IPA) was conducted to explore the lived experiences of happiness in a millennial generation. Themes were explored; the main ones being escapism, nostalgia, accessibility and acceptance in negativity. These themes were supported by current literature and show that millennials’ happiness is complex and unique to each individual. Even though the participants gain happiness from feeling connected, social media and growing up alongside technology can be overwhelming and the findings from this study suggest that there is a need for escape in order to feel happiness in a fast paced and technologically driven society.
Digital advertising: present and future prospects

Abstract New digital technologies have dramatically changed the way firms communicate and interact with consumers via digital media. In this digital era, what does the future of advertising look like? How can scholars enhance research on digital advertising? And how can firms and agencies maximize their return on advertising? This article defines digital advertising by examining what it is—and will be. We identify key trends relevant to digital advertising, such as a move toward data-driven marketing communication, the impact of artificial intelligence on advertisement production, and the effect of big data on advertisement execution. In the context of these trends, six propositions are posited concerning the management of future digital advertising and the methods and systems for delivering targeted advertisements to consumers. Several topics that can be widely applied to digital advertising are proposed for future research.
Non-Newtonian pulsatile blood flow dynamics around a Y-junction

Cardiovascular diseases are one of the major concerns of the present age. Atherosclerosis, heart blockage, heart failing are very common of them which are caused by plaque formation in the T-and Y-shaped junctions of blood vessels. At the present study concentration has been focused on the studies of pulsatile non-Newtonian flow behavior through Y-junction for unit flow ratio experimentally and numerically. Pulsatile flow similar to external iliac vein has been generated using gear pump. Four pressure sensors have been inserted two at the upstream and two at the downstream points to visualize the pressure condition. 50% (w/w) glycerin-water solution has been selected as working fluid as its density and viscosity are very much similar to blood-matrix. Numerical simulation has been accomplished by Ansys Fluent 14.5 software where Carreau model has been used to characterize the non-Newtonian flow behavior of blood-matrix. X-velocity contour, Z-vorticity contour, pressure wave form and vector plot have been studied in details. Those results can be used to predict the flow behavior through veins and arteries and to detect the recirculation zone.Cardiovascular diseases are one of the major concerns of the present age. Atherosclerosis, heart blockage, heart failing are very common of them which are caused by plaque formation in the T-and Y-shaped junctions of blood vessels. At the present study concentration has been focused on the studies of pulsatile non-Newtonian flow behavior through Y-junction for unit flow ratio experimentally and numerically. Pulsatile flow similar to external iliac vein has been generated using gear pump. Four pressure sensors have been inserted two at the upstream and two at the downstream points to visualize the pressure condition. 50% (w/w) glycerin-water solution has been selected as working fluid as its density and viscosity are very much similar to blood-matrix. Numerical simulation has been accomplished by Ansys Fluent 14.5 software where Carreau model has been used to characterize the non-Newtonian flow behavior of blood-matrix. X-velocity contour, Z-vorticity contour, pressure wave form and vector plot have been s.
The Accounting-And-Finance of a Solar Photovoltaic Plant: Economic Efficiency of a Replacement Project

In this work we illustrate a simple logical framework serving the purpose of assessing the economic profitability and measuring value creation in a solar photovoltaic (PhV) project and, in general, in a replacement project where the cash-flow stream is nonnegative, with some strictly positive cash flows. We use the projected accounting data to compute the average ROI, building upon Magni (2011, 2019) (see also Magni and Marchioni 2018), which enables retrieving information on the role of the project’s economic efficiency and the role of the project scale on increasing shareholders’ wealth. The average ROI is a genuinely internal measure and does not suffer from the pitfalls of the internal rate of return (IRR), which may be particularly critical in replacement projects such as the purchase of a PhV plant aimed at replacing conventional retail supplies of electricity.
The Impact of Stress on Life, Working, and Management Styles: How to Make an Organization Healthier?

This article provides guidelines for optimizing organizational management styles and achieving a balance between life and work. Contributing to sustainable human development will contribute to the psychology of sustainability and sustainable development. The main purpose of the paper is to determine the relations between the preferences of management styles, working styles and lifestyles, and exposure to stress in the managerial population in order to achieve harmonization. A correlation study was conducted on a sample of 618 subjects using the Blanchard test of situational leadership, the Four-Dimensional Symptom Questionnaire for determining the stress levels, the modified Allport–Vernon–Lindsay Scale of Values, and Julie Hay’s Working Styles Questionnaire. The paper provides insight into the contribution of management styles to the balance of private and professional areas of life, as well as to stress reduction in managers.
Are functional regions more homogeneous than administrative regions? A test using hierarchical linear models

We investigate whether economic functional regions capture spatial clustering of core economic indicators better than administrative regions. For this purpose, we use hierarchical linear models to measure the degree of homogenization of different regional delineations. Our results for Germany show that economic functional regions tend to capture spatial clustering better than administrative ones. However, a considerable amount of clustering at a lower aggregation level cannot be accounted for by economic functional regions, especially around metropolitan centres. Furthermore, economic functional regions, which depict commuting interrelations well, are less able to capture spatial homogenization than other economic functional delineations. El articulo investiga si las regiones economicas funcionales capturan la agrupacion espacial de los indicadores economicos basicos mejor que las regiones administrativas. Para ello utiliza modelos lineales jerarquicos, con el fin de medir el grado de homogeneizacion de las diferentes delimitaciones regionales. Los resultados para Alemania muestran que las regiones economicas funcionales tienden a capturar mejor la agrupacion espacial que las administrativas. Sin embargo, las regiones economicas funcionales, especialmente aquellas alrededor de los centros metropolitanos, no pueden explicar una cantidad considerable de agrupaciones a un nivel de agregacion inferior. Ademas, las regiones economicas funcionales, que representan bien las interrelaciones de desplazamiento al trabajo, capturan peor la homogeneizacion espacial que otras delimitaciones economicas funcionales. 本稿では、経済的機能区域が、行政区域よりもコア経済指標の空間的クラスタリングをよく捉えるかどうか検討する。 そこで、階層的線形モデルを使用し、異なる区域の均質化の程度を測定する。 ドイツの結果は、経済的機能区域は、行政区域よりもコア経済指標の空間的クラスタリングをよく捉えることを示す。 しかし、低い集積レベルでは多数のクラスタリングがあるが、経済的機能区域、特に大都市中心部の周辺には重要ではない。 さらに、経済的機能区域は、通勤の相関性を描出するが、他の経済的機能区域よりも空間的均質化を捉える性能が低い。
Trading Volume as a Predictor of Market Movement

A logistic regression model is has also become a popular model because of its ability to predict, classify and draw relationships between a dichotomous dependent variable and dependent variables. On the other hand, the R programming language has become a popular language for building and implementing predictive analytics models. In this paper, we apply a logistic regression model in the R environment in order to examine whether daily trading volume at the Botswana Stock Exchange influence daily stock market movement. Specifically, we use a logistic regression model to find the relationship between daily stock movement and the trading volumes experienced in the recent five previous trading days. Our results show that only the trading volume for the third previous day influence current stock market index movement. Overall, trading volumes of the past five days were found not have an impact on today’s stock market movement. The results can be used as a basis for building a predictive model that utilizes trading as a predictor of stock market movement.
Reimagining student employability: a case study of policy and practice transformation

ABSTRACT Within Australian higher education, there has been an evolving of employability policy, realised in curriculum, at an intersection of the constructs of employment, work-readiness, life-long learning, and career development. The enactment of employability policy has driven an evolution in the practices of higher education in both curriculum and student support. This paper presents a case study of an Australian university which has reimagined the delivery of career and student support services through a framework that envisions preparing students for future worlds of work. The emergent policy framework has transformed organisational structures, human resources, and connections between student support practices and curriculum design. This transformation has generated new intersections of practice and is challenging institutional constructs of expertise. This case study provides transferrable learnings for broader considerations of higher education policy and practice as employability becomes the core driver of student success, and explores layered discourses of policymaking across an institution.
INSPIRATION IN SURPRISING PLACES: SEARCHING FOR A CIVIC DIMENSION IN FINANCIAL LITERACY

ABSTRACT Establishing Financial Literacy (FL) programs for K-12 students is an emerging concern for policymakers worldwide. Such programs esteem the market a preferred arena for economic decision-making than the civic arena. In parallel, media organizations in many capitalist economies are devoting increasing resources to popular coverage of finance, which could be regarded as an informal form of FL. We build on the distinction between episodic and thematic framing to consider two divergent approaches to FL in Israel: one developed by a non-profit for use in public education and the other developed by a commercial news organization for broader dissemination. We found that the commercial news organization blended episodic and thematic framing to contextualize financial products and institutions temporally and spatially, uncovering the political processes that shape the economic landscape. This paper argues that such a civic and critical approach to financial literacy hails students as citizens with the capacity to reform and re-imagine finance, rather than act solely as passive consumers.
The space of coherence relations and their signalling in
 discourse

I present an overview of the concept of coherence in discourse and explore how one of the essential elements to that coherence, relational coherence, has been studied and partitioned in different discourse traditions. I then introduce one of the theories that deals with discourse coherence, Rhetorical Structure Theory (RST). Through the description of RST, I investigate fundamental concepts in the study of coherence relations such as the classification of relations and their signalling in discourse.
The influence of bio-fibers from different pulping processes on the pulp-polylactic acid composites (PPCs) properties from sugarcane bagasse

Abstract Pulp-polylactic acid composites (PPCs) with monoethanolamine, alkaline sulfite-anthraquinone, unbleached and bleached soda bagasse pulps and polylactic acid (PLA) were successfully fabricated using twin-screw extrusion. The results were compared with bagasse flour-PLA composites (WPCs) as reference. The results indicated that the mechanical strengths of produced composites with pulp fibers were increased compared to the neat PLA and bagasse flour-PLA composites. Monoethanolamine and alkaline sulfite-anthraquinone fibers due to their surface chemical structure had a superior compatibility with PLA compared with other used bio-fibers which has been confirmed by SEM micrographs too. FTIR was used to investigate the effect of different chemical treatments on the bio-fibers. The results of XRD analysis showed that the crystallinity of PPCs was substantially improved by incorporation with pulp fibers compared to WPCs composites. The water absorption of the PPCs is different due to using the diverse bio-fibers. According to DMA analysis, the tan delta was substantially decreased when PLA was reinforced by different bio-fibers. The biodegradation of green composites were characterized and the results showed that the biodegradability of the PLA was increased due to addition of bagasse pulp biofibers.
Multiobjective Optimization Method for Polymer Injection Molding Based on a Genetic Algorithm

To solve the quality problem of polymer injection parts, a quality prediction and multiobjective optimization method is established. In this method, the parameters that have an important effect on the part quality are selected using an orthogonal testing method, and then a central composite design experiment is performed using these parameters. A mathematical model considering an objective and impact factors is developed using the response surface method. The optimal combination of the impact parameters is determined using a multiobjective genetic algorithm. The injection molding of a typical interior trim part of a car, i.e., the seat belt cover plate, is used as an example to demonstrate the method. The two most troublesome problems in this process—the sink marks and warpage—are multiobjectively analyzed using the established method, and the optimal combination of impact parameters that minimized the defects is determined. The errors of the sink marks and warpage between the experimental and theoretical values were 7.95% and 0.2%, respectively. The optimized parameters were tested in actual injection molding. The results show that the shrinkage and warpage of the parts are obviously improved by optimization using the proposed method, allowing the parts to satisfy the requirements of assembly and appearance.
Trade liberalisation and its impact on income distribution in Ghana

Abstract In this article, we analyse the impact of trade liberalisation on income distribution in Ghana using a computable general equilibrium (CGE) model. We focus on household income groups defined by location, economic activities and income quintiles using the 2013 social accounting matrix (SAM) for Ghana. Consistent with the existing literature, we find that trade liberalisation affects negatively the total and factor income and consumption spending of rural farm households, while it benefits urban non-farm households. Our results also suggest that import tariff reduction creates a substitution effect which decreases the demand for domestic commodities; ultimately affecting farmer’s income, demand for labour and land, and crop capital rents.
THE PERSUASION PROCESSES IN VIRTUAL REALITY IN THE CONTEXT OF TECHNOLOGY ACCEPTANCE

This dissertation investigates the extent to which a media audience’s degree of technology acceptance (as a mediator) and interactivity of the media influence the user’s sense of presence, enjoyment, and message engagement, and finally lead to attitude change (persuasion). The study also explores how the user processes a message and changes the individuals’ attitude, guided by the Heuristic-Systematic Model (HSM) of information processing. To test hypotheses, two different types of media as stimuli sorted by levels of stereoscopic dimension (2D screen versus 3D virtual reality) describing a Syrian Refugee crisis were used for an experiment in the study. Stimuli were randomly assigned to 105 university students to 1) watch (screen) or 2) experience (VR). After the experiment, participants were asked to complete a set of questionnaires, which included items to assess the amount of heuristic and systematic processing; the level of presence; message engagement; enjoyment; messageconsistent attitude change; and behavioral intention. The results showed VR (high interactivity) induced participants’ higher level of telepresence, social presence, message engagement, and enjoyment than a screen (low interactivity), and finally led to message-consistent attitude and behavioral intention. Heuristic processing was primarily worked in VR, where Systematic processing was mainly shown in the 2D condition. In addition, it was found that Technological Acceptance significantly worked as a mediator between interactivity and message engagement. Limitations and suggestions for future research were discussed with implications for both academic and business field. THE PERSUASION PROCESSES IN VIRTUAL REALITY IN THE CONTEXT OF TECHNOLOGY ACCEPTANCE
Evaluating the Effect of an Online, Assessment-Driven Learning Platform for Obstetric Providers and Nurses

Maternal mortality rate/ratio (MMR) is a significant indicator of the overall quality of health care. While MMR is declining globally, the United States is one of only eight countries where MMR continues to rise. Sadly, many of the issues contributing to MMR, such as delay in diagnosis or treatment, and failure to recognize patients at risk, are preventable. Deficits in staff knowledge or training are common causative factors in preventable maternal deaths. Simulation, e-learning, and instructor-led courses have been implemented globally in an effort to address preventable factors. The Model for Improvement dictates the need for outcome evaluation to determine if a change is an improvement. The purpose of this doctoral project was to evaluate perinatal outcomes following the inclusion of an assessment-driven, individualized e-learning platform focused on obstetric emergencies within a blended learning environment. The Kirkpatrick Model for training evaluation provided a structure for this performance improvement project. Sources for perinatal patient outcome data were identified. Preand post-implementation data were charted. Improvements in perinatal outcomes with reduction in maternal morbidity were noted following implementation of the e-learning platform for obstetric emergencies. A slight decrease in overall obstetrical hemorrhage rates was noted (average 54.7/1,000 deliveries down from 56.4/1,000 deliveries at baseline). A slight decrease in massive transfusion rates (>4 units pRBC) was realized (average 2.2/1,000 deliveries down from 2.4/1,000 deliveries at baseline). Three consecutive months at the end of the performance period noted 0 cases of massive transfusion indicating improved management of obstetrical hemorrhage. The most significant improvement was with a downward shift in maternal intensive care unit (ICU) admission
Klasifikasi Batuan Beku Gabbro Pada Citra Sayatan Tipis Menggunakan Multilevel Otsu’s Thresholding

The image of a thin section of rock is a rock or mineral observation methods. The mineral content of rocks can be used to determine rock types and names of these rocks. Thin section making observations difficult if only using polarizing microscopy, the ability of the human eyes can not identify in detail. Therefore, the analysis and identification of minerals to be more easily done with the help of digital image processing algorithms using Multilevel Otsu's Thresholding to determine the abundance of igneous minerals. The data used in this study using the image of a thin section of igneous rock acquired from use polarizing microscope with a magnification of 10x. Preprocessing is performed with two different treatment is grayscale and grayscale with k-means to determine the maximum results. The next stage of the processing is done Multilevel Otsu's Thresholding segmentation with two threshold values. Further analysis of the results of segmentation to determine the abundance of minerals. The results of calculations and analysis has been done on the preprocessing using grayscale and grayscale with k-means then done Multilevel Otsu's Thresholding segmentation has the highest accuracy of 40% and 33.57%. Of the two treatments can be concluded that the use of k-means on the preprocessing have an influence on image processing thin section gabbro igneous rock types with the highest accuracy values of the two treatments at 40% by using the kmeans preprocessing with a value of k = 7.
Stock Market Prediction Using Time Series Analysis

Stock market is a market that enables seamless exchange of buying and selling of company stocks. Every Stock Exchange has their own Stock Index value. Index is the average value that is calculated by combining several stocks. This helps in representing the entire stock market and predicting the market’s movement over time. The Equity market can have a profound impact on people and the country’s economy as a whole. Therefore, predicting the stock trends in an effective manner can minimize the risk of investing and maximize profit. In our paper, we are using the Time Series Forecasting methodology for predicting and visualizing the predictions. Our focus for prediction will be based on the technical analysis using historic data and ARIMA Model. Autoregressive Integrated Moving Average (ARIMA) model has been used extensively in the field of finance and economics as it is known to be robust, efficient and has a strong potential for short-term share market prediction.