Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-educating Designers, Re-directing Design, Design Futures

The global impact of ever-increasing mass consumerism set against the reality of finite resources, posits design with the responsibility as well as the ability to influence consumerism at every level, however to do this demands changing the way designers think, which in turn means re-educating, re-directing design and moving to Design Futures. The following quote is taken from a 2010 briefing paper by Professor Tony Fry: "Rather than looking at design education from the perspective of the design industry, or towards it, the Design Futures frame of reference is wider. It looks at it refracted through university education in general, beyond the industry and out into the future. This point of view does not ignore practicalities but rejects the notion that design education is purely vocational and pragmatic. Rather it asserts that first and foremost it has to be an education. Design Futures is firmly committed to the creation of educated designers. What this means is an education whereby the designer understands the world in which they are going to practice - socially, culturally, economically, politically, environmentally. It is predicated on the assumption that they have to know what they are doing, why and with what consequence. More than this, designers have to understand what design is and does in a wider worldly sense, have a basic understanding of its history beyond the narrow characterisations delivered by design history. Above all, graduate designers must realise design's implication in forming futures, and their own responsibility in this context. Students still have to acquire a wide range of technical skills BUT they have to know how to direct them and to what ends. Every educated designer needs to be equipped with a strategic sensibility, so they can steer their career path in ethically and economically viable directions. For this to be possible students need to be adequately educated so that their economic and employment opportunities will expand not contract! A design education has to be understood as expanding horizons and qualifying young people for more than just a conventional design job. " The paper will discuss the process of developing an existing 3 Year Bachelor of Design degree based upon the service industry model of the past into a new 4 Year Bachelor of Design degree with embedded honours and the underlying Design Futures philosophy as the foundation of this new degree.
An Investigation of the Impact of Interest Rates and Interest Rate Volatility on Australian Financial Sector Stock Return Distributions

This paper extends the existing literature by analysing the dual impact of changes in the interest rate and interest rate volatility on the distribution of Australian financial sector stock returns. In addition, a multivariate GARCH-M model is used to analyse the impact of deregulation on the financial institutions sector. It was found that there is a consistent inter-temporal trade off between risk and return over the different regulatory periods. Moreover, finance corporations were found to be highly sensitive to new shocks across the financial sector and deregulation increased the risk faced by finance corporations and small banks - effectively increasing the required rate of return and explaining the continued rationalisation of these sectors. Furthermore, deregulation has changed the fundamental relationship between interest rates and large bank stock excess returns from positive in the pre-deregulation period to negative in the post-deregulation period. This reflects the changing institutional environment from one of controlled credit rationing to a more competitive environment. Keywords: Interest rate risk; Australian financial sector; Regulatory change; GARCH-M
LASSO vector autoregression structures for very short-term wind power forecasting

The deployment of smart grids and renewable energy dispatch centers motivates the development of forecasting techniques that take advantage of near real-time measurements collected from geographically distributed sensors. This paper describes a forecasting methodology that explores a set of different sparse structures for the vector autoregression (VAR) model using the Least Absolute Shrinkage and Selection Operator (LASSO) framework. The alternating direction method of multipliers is applied to fit the different VAR-LASSO variants and create a scalable forecasting method supported by parallel computing and fast convergence, which can be used by system operators and renewable power plant operators. A test case with 66 wind power plants is used to show the improvement in forecasting skill from exploring distributed sparse structures. The proposed solution outperformed the conventional autoregressive and vector autoregressive models, as well as a sparse-VAR model from the state of the art.LASSO Vector Autoregression Structures for Very Short-term Wind Power Forecasting
Assessing the Capability of Sentinel-2A Data for Mapping Seagrass Percent Cover in Jerowaru, East Lombok

Remote sensing technology has been widely used in various applications related to natural resources and environment monitoring. In this paper, we evaluated the capability of new Sentinel-2A image to map the distribution and percent cover of seagrass in optically shallow water of Jerowaru coastal area, East Lombok. Seagrass distribution map was produced from radiometrically and geometrically corrected Sentinel-2A image with overall accuracy of 61.9%. Using empirical model, seagrass percent cover was predicted with maximum coefficient of determination (R 2 ) of 0.51 and standard error of estimate (SE) of 19.4%. The results suggest that Sentinel-2A image can be used to perform seagrass mapping time and cost-effectively and can be further improved by incorporating more robust empirical modeling technique.
Krzyżowanie uśredniające w ewolucyjnej metodzie planowania ścieżki przejścia w zastosowaniu do problemu unikania kolizji na morzu

Artykul przedstawia zastosowanie operatora krzyzowania uśredniającego do wyznaczania ściezki przejścia przy uzyciu algorytmu ewolucyjnego w zastosowaniu do unikania kolizji na morzu. Krzyzowanie uśredniające zapewnia rozszerzenie zbioru rozwiązan mozliwych do uzyskania w porownaniu z wariantem krzyzowania wymieniającego. Przeprowadzone badania wykazaly, ze zastosowany wariant krzyzowania pozwala na uniezaleznienie wynikow symulacji od postaci populacji początkowej oraz szybsze przejście algorytmu z fazy eksploracji do eksploatacji obszaru przyciągania optimum. Nowa wersja algorytmu pozwala na skuteczne poszukiwanie rozwiązan w sytuacji kolizyjnej na morzu.
CUSTOMER VALUE IS NOT A NUMBER – INVESTIGATING THE VALUE CONCEPT IN LEAN PRODUCT DEVELOPMENT

Lean Product Development (LPD) is an operational philosophy aimed at maximizing customer value while minimizing non-value-added-activities, known as waste. Originating from manufacturing, the value-concept in Lean is still strongly tied to product features despite evidence that perceived value concerns more than just the physical product. This paper presents different views on customer value, as provided by the employees at a Norwegian boat manufacturer, customers, and the competition. Our research suggests that a less-than-perfect match between customer needs and product offerings may prove beneficial. Furthermore, how customers perceive product value depends on previous experience. It is also suggested that deep understanding of customer-defined value does not imply an ability to satisfy that value. A purchasing decision often relies on emotional and utilitarian value, and product developers must target both. Yet, the value-concepts used in LPD tend to revolve around utilitarian value alone. An extension of LPD towards Lean Innovation (LI) is suggested.
AEB Real World Validation Using UK Motor Insurance Claims Data

City Safety is a low-speed autonomous emergency braking (AEB) technology, first made available as standard by Volvo on their XC60 model series, and released in the United Kingdom (UK) in 2008. This technology has since been made available on a growing number of models, including the high volume seller Volkswagen Golf 7. This paper presents an analysis of the impact of AEB in the UK on claim losses using real world Insurer claims data. Statistical regression was used to compare the claims losses for the XC60 to that of a SUV control cohort of vehicles without any such system, and quantify any AEB effects identified. The influences of calendar year and vehicle age on claim risk were accounted for in the analysis. Estimated claim frequencies for the XC60 were lower than those of the control cohort, in all liability types: 8% lower for Third Party Damage, 6% lower for Own Damage, and 21% lower for Third Party Injury. More recently this approach has been employed to compare claim frequencies for the Golf 7 with the Front Assist AEB system with that of a Small Family car control cohort of vehicles, with similar qualitative results observed from an analysis of the initial data available. Furthermore a study of claim damage severity based around claim costs and repair times estimated lower severity levels for the XC60 relative to control cohorts, for own damage liability, of the order of 10%-15%. This study is the first of its kind using UK claims and indicates the potential benefit of AEB technology. Further statistical analysis is intended with additional risk information for the XC60 and Golf 7, and other AEB study vehicles.
THE ANATOMY OF TRADE DEFLECTION1

This study employs four dimensional (firm-product-destination-year) export data of Brazilian firms to analyze firm-level responses when faced with an antidumping protection in a particular export market. We examine the extent to which firms shift their exports to other destinations in response to the antidumping duties. Our findings suggest that trade deflection depends on past export status in export markets. Firms deflect trade but only to destinations where they already have an established trading relationship. This prior relationship is important both for the intensive as well as for the extensive margin of trade alternative destinations. In addition to making sense of existing puzzles in trade deflection, this paper makes an important contribution by demonstrating how much the fixed costs of developing an export destination matter in terms of trade deflection. JEL Classification: F10, F13, O54, C23
COMPARISON OF THE LQG AND H-INFINITY TECHNIQUES TO DESIGN EXPERIMENTALLY A FLEXIBLE SATELLITE ATTITUDE CONTROL SYSTEM

Attitude Control System (ACS) for flexible space satellites demands great reliability, autonomy and robustness. These flexible structures face low stiffness due to minimal mass weight requirements. Satellite ACS design usually based on computer simulations without experimental verification can face instability and/or inefficient controller performance due to model uncertainties. In this paper one investigates the robustness and performance of the time domain approach LQG (Lineal Quadratic Gaussian) and the frequency domain H- Infinity approach. The satellite ACS design is performed initially in a computer simulation environment, following experimentally verification of the same control algorithm, using Quanser rotary flexible link module. This investigation has shown that the controller performance based on simulation model can be degraded when applied in an experimental set up. So this prototype verification is fundamental before satellite onboard computer algorithms implementation.
A comparative study of friction factor correlations for high concentrate slurry flow in smooth pipes

Abstract A number of correlations for friction factor determinations in smooth pipes have been proposed in the past decades. The accuracy and applicability of these friction factor formulas should be examined. Based on this notion the paper is designed to provide a comparative study of friction factor correlations in smooth pipes for all flow regimes of Bingham fluids. Nine models were chosen. The comparisons of the selected equations with the existing experimental results, which are available in the literature, were expressed through MARE, MRE+, MRE-, RMSE, Ѳ, and S. The statistical comparisons were also carried out using MSC and AIC. The analyses show that the Wilson-Thomas (1985) and Morrison (2013) models are best fit models to the experimental data for the Reynolds number up to 40000. Within this range, both models can be used alternately. But beyond this Re value the discrepancy of the Wilson-Thomas model is higher than the Morrison model. In view of the fact that the Morrison model requires fewer calculations and parameters as well as a single equation is used to compute the friction factor for all flow regimes, it is the authors’ advice to use this model for friction factor estimation for the flow of Bingham fluids in smooth pipes as an alternative to the Moody chart and other implicit formulae.
Appendix Table 2 : Industrial Specialisation in the EU , 1989 ( Specialisation index based on employment )

Public-sector purchases from private firms account for over 10 percent of GDP in most developed countries, and they are typically biased in favour of domestic suppliers. This paper explores the impact of discriminatory public procurement on the location of industries. Our main theoretical finding is that, in a setting with increasing returns and trade costs, home-biased procurement can override other determinants of industrial specialisation. Our empirical analysis underscores the significance of discriminatory procurement. Drawing on a cross-country, cross-industry data sample for the EU, we find that determinants of industry location such as factor endowments, market access and intermediate inputs are significant in sectors where public procurement is small, but they lose their significance in sectors where public procurement is important. JEL classification: F12, F15, H57
Endophytic Mycoflora of L. and Studies on Antimicrobial Activity of its Endophytic sp.

Antimicrobial activity of extra-cellular antimicrobial secondary metabolites of endophytic Fusarium sp. isolated from the stem of Mirabilis jalapa L. was evaluated by an agar disc diffusion technique against selected groups of Gram-positive and Gram-negative human and phytopathogenic bacteria, yeasts and filamentous fungi. Aspergillus species were more found to be sensitive followed by Gram-positive bacteria (Staphylococcus aureus, Staphylococcus epidermidis and Bacillus subtilis). Highest inhibitory activity was reported against Gram-positive bacteria, where as reduced, but similar effects, were shown against Aspergillus species and Gram-negative bacteria (E.coli, Salmonella typhi, Xanthomonas campestris, Xanthomonas axonopodis malvacearum, Xanthomonas campestris PVoryzae andXanthomonas campestris pv vesicatoria).
Equality of Opportunity and Redistribution in Europe

The concept of equality of opportunity (EOp) goes back to Roemer (1993, 1998) who argues that a society shall guarantee its members equal access to advantage regardless of their circumstances, while holding them responsible for turning that access into actual advantage by the application of effort. Such arguments have been on the political agenda across the European Union, where the recent enlargements have brought together countries with rather different economic, social, and political backgrounds. This paper investigates how family background influences income acquisition in 15 European countries. It also scrutinizes how governments affect EOp through the design of their tax and transfer schemes. Our overall results suggest that the link between family background and economic success is usually tighter in relatively poor countries than in rich countries. Moreover, we find a clear country clustering for the Scandinavian, the Continental European, and the Anglo-Saxon countries. For Eastern Europe, our results are less definite. Looking at the impact of the tax and benefit schemes in the EU, it can be concluded that both taxes and transfers reduce inequality of opportunities, with social benefits typically playing the key role. Furthermore, the equalizing impacts of the tax benefit system on inequality of opportunity differ substantially from the ones observed when referring to the traditional notion of inequality of outcomes.
Process Evaluation of an Applied Neuroeconomics Extension Course in Consulting and Management Based on Kirkpatrick's Model

The aim of this research was to evaluate the implementation of a 5-week (15-hour) extension course in Applied Neuroeconomics, taken by 27 undergraduates (89% from economics majors and 11% members of a junior consulting firm) at the Federal University of Rio Grande do Sul (UFRGS) in Porto Alegre, Brazil, and to identify their perception of the adequacy and applicability of the course content for consulting purposes. At the end of each class, students evaluated the current module by responding to a 10-item questionnaire using a 5-point scale, based on Kirkpatrick’s (1996) 4-level evaluation model: reaction, learning, behavior, and results. For data analysis, Pearson’s chi-squared test was used, and the Clopper-Pearson (Exact) method was adopted to estimate the confidence interval for the good/excellent response proportion. The results showed correlation between the extension course and the student’s perception of the adequacy and applicability of the course for all 4 levels analyzed and for all 5 modules (p < .01). Students believed that they could easily transfer the acquired knowledge to the consulting practice (p < .01). In sum, this process evaluation indicated that the Applied Neuroeconomics extension course was well-structured and provided neuroscientific content of both practical and theoretical value for students planning a career in economics and management consulting.
Common Benchmark Functions for Metaheuristic Evaluation: A Review

In literature, benchmark test functions have been used for evaluating performance of metaheuristic algorithms. Algorithms that perform well on a set of numerical optimization problems are considered as effective methods for solving real-world problems. Different researchers choose different set of functions with varying configurations, as there exists no standard or universally agreed test-bed. This makes hard for researchers to select functions that can truly gauge the robustness of a metaheuristic algorithm which is being proposed. This review paper is an attempt to provide researchers with commonly used experimental settings, including selection of test functions with different modalities, dimensions, the number of experimental runs, and evaluation criteria. Hence, the proposed list of functions, based on existing literature, can be handily employed as an effective test-bed for evaluating either a new or modified variant of any existing metaheuristic algorithm. For embedding more complexity in the problems, these functions can be shifted or rotated for enhanced robustness.
NANOPARTICULATE DRUG DELIVERY SYSTEMS: PROMISING APPROACHES FOR DRUG DELIVERY

Advanced drug delivery technologies can increase safety and efficacy, extend patent lives and provide competitive differentiation for biopharmaceuticals by helping drug manufacturers in differentiating new therapeutics from existing products that enable novel treatments. It provides improved therapy through increased efficacy and duration of drug activity, decreased dosing frequency, convenient routes of administration and improved targeting of drug to specific sites reducing unwanted side effects. The role of advanced drug delivery based on Nanoparticles is discussed herein. The growing range of nanoparticle based drug delivery methods is assured of changing the formulation characteristics of new compounds and extending the lifecycle of existing compounds. In order to achieve this, article deals with the fundamental understanding of their properties, types, manufacturing, characterization, challenges and emerging trends in the field of drug delivery. Keywords : Nanoparticles, Biopharmaceuticals, Nanoparticulate drug delivery.
A prototype analysis of machine learning methodologies for sentiment analysis of social networks

In present day’s social networking technologies are increased because of different user’s communication with each others. There are different types of networks are available in present situations like face book, twitter and LinkedIn. These are the valuable resources for data mining applications because of prevalence presents of different user’s information present in outside environment. Sentiment analysis is the process that defines attitudes, views, emotions and opinions from text, database sources and tweets. Sentiment analysis involves to categorize data based on different opinions like positive and negative or neutral reference classes. In this paper, we analyze different machine learning approaches to define sentiment analysis on social networks. This paper describes comparative analysis of existing machine learning approaches to classify text and other reference classes to evaluate different metric representations. And also this paper describes different machine learning methodologies like Naïve Bayesian, Entropy max and support vector machine (SVM) research on social network data streams. And also discuss major innovations to evaluate different procedures and challenges of analysis of sentiment or opinion mining aspects in present social networks.
Peeling Apples: Prototyping Design Experiments as Research

Design research often includes design experiments. But the discourse generated by the idea of ‘research through design’ has not always been a helpful starting point for novice design researchers who intend to incorporate design as a component of their research inquiries. In this paper we make two contributions. Firstly, we present a short analysis of six design research exemplars that involve design as a constituent part of the research. We do this in an effort to demonstrate that there is a multitude of ways that design can, and has, formed the basis for research contributions. Following from that observation, we introduce an experimental workshop involving apple peeling that we have developed and trialled. We put this workshop forward as a pedagogical instrument to help design research students clarify the many connections that can exist between design experiments and research contributions.
Spectral Energy Fluxes in Geostrophic Turbulence: Implications for Ocean Energetics

Abstract The energy pathways in geostrophic turbulence are explored using a two-layer, flat-bottom, f-plane, quasigeostrophic model forced by an imposed, horizontally homogenous, baroclinically unstable mean flow and damped by bottom Ekman friction. A systematic presentation of the spectral energy fluxes, the mean flow forcing, and dissipation terms allows for a comprehensive understanding of the sources and sinks for baroclinic and barotropic energy as a function of length scale. The key new result is a robust inverse cascade of kinetic energy for both the baroclinic mode and the upper layer. This is consistent with recent observations of satellite altimeter data over the South Pacific Ocean. The well-known forward cascade of baroclinic potential and total energy was found to be very robust. Decomposing the spectral fluxes into contributions from different terms provided further insight. The inverse baroclinic kinetic energy cascade is driven mostly by an efficient interaction between the baroclinic velo.