Miracle-dz/UniFAR-FTUs huggingface dataset:
Near-Ultraviolet and Visible Spectroscopy of HAYABUSA Spacecraft Re-entry

HAYABUSA is the first spacecraft ever to land on and lift off from any celestial body other than the moon. The mission, which returned asteroid samples to the Earth while overcoming various technical hurdles, ended on June 13, 2010, with the planned atmospheric re-entry. In order to safely deliver the sample return capsule, the HAYABUSA spacecraft ended its 7-year journey in a brilliant "artificial fireball" over the Australian desert. Spectroscopic observation was carried out in the near-ultraviolet and visible wavelengths between 3000 and 7500 \AA at 3 - 20 \AA resolution. Approximately 100 atomic lines such as Fe I, Mg I, Na I, Al I, Cr I, Mn I, Ni I, Ti I, Li I, Zn I, O I, and N I were identified from the spacecraft. Exotic atoms such as Cu I, Mo I, Xe I and Hg I were also detected. A strong Li I line (6708 \AA) at a height of ~55 km originated from the onboard Li-Ion batteries. The FeO molecule bands at a height of ~63 km were probably formed in the wake of the spacecraft. The effective excitation temperature as determined from the atomic lines varied from 4500 K to 6000 K. The observed number density of Fe I was about 10 times more abundant than Mg I after the spacecraft explosion. N2+(1-) bands from a shock layer and CN violet bands from the sample return capsule's ablating heat shield were dominant molecular bands in the near-ultraviolet region of 3000 - 4000 \AA. OH(A-X) band was likely to exist around 3092 \AA. A strong shock layer from the HAYABUSA spacecraft was rapidly formed at heights between 93 km and 83 km, which was confirmed by detection of N2+(1-) bands with a vibration temperature of ~13000 K. Gray-body temperature of the capsule at a height of ~42 km was estimated to be ~2437 K which is matched to a theoretical prediction. The final message of the HAYABUSA spacecraft and its sample return capsule are discussed through our spectroscopy.
Strategic decision-making process (SDMP) in times of crisis: Evidence from Greek banks

This paper investigates the strategic decision making process (SDMP) of Greek banks’ top management in the context of profound organisational changes introduced in 2012 due to the aftermath of the 2008 global financial crisis. It focuses on the impact of three key dimensions of the SDMP, namely, rationality, intuition and political behaviour, relating to four changes introduced, namely, mergers and acquisitions, branch network rationalisation, integration of information technology (IT) and downsizing of operations and personnel. A survey questionnaire was conducted, targeting Greek banks’ top management. Out of 140 questionnaires, 78 were returned, a 55.71% response rate. Data was analysed using structural equation modelling. Research findings identify rationality as a key dimension of SDMP for all organisational changes, as there was high focus on identifying and analysing all required information, use of external financial advisors, and reliance on multiple methods of information gathering. Decision-makers used their intuition in the form of past experience when making acquisition decisions, whilst their personal judgment and “inner voice” were neglected. Finally, political behaviour was not displayed during this process, as decision-makers were open with each other about their interests and preferences, and there was no bargaining, negotiation or use of power amongst them. One limitation was that of not considering all the factors that might help measure SDMP. Also, this study was conducted in a period of political and financial uncertainty for Greek banks, as well as for the Greek economy in general, so findings may not be generalizable to other industries and countries. Conducting interviews could have offered deeper insight as well. This study’s value lies in the fact that the organisational changes were determined by Greece’s leaders, and thus the Greek banks had to operate under a dynamic, inflexible and non-autonomous environment. Also, this study extends prior SDMP research by examining the impact of the three key SDMP dimensions on four types of organisational change.
Pragmatic naturalism and moral objectivity

Suppose that Darwin is right that human morals or something like them originated and persisted among our remote ancestors as a set of adaptations fashioned through natural selection. Suppose further that in his new book Philip Kitcher (2011) is right that during the past 50 thousand years of cultural evolution our ancestors, living until the past 10 thousand mostly in small groups diversified by age and sex, built on these primitive quasimoral functions to create rules and precepts, in response to the tensions and difficulties of social living, and that they refined these functions and sometimes created new functions, similar enough to the others, to qualify as being moral or moral-like. The process of improving the old functions and creating new ones in response to new problems is iterative on his account, resulting in a long procession of small and large moral changes in diverse and changing populations. As we view them in retrospect, many of us perceive some changes as ‘morally progressive’, others as ‘morally regressive’. Kitcher (2011: 140–1, 145–53, 153–62) gives, as examples of progressive change, the dropping of the idea of exact retribution – eye for eye, tooth for tooth, life for life – from the earliest legal codes, the abolition of slavery in 19th-century America, and important changes in the civil status of women in Western Europe and North America in the past two centuries. To suppose that this kind of story captures the essence of moral evolution is to endorse a type of moral naturalism that Kitcher calls ‘pragmatic naturalism’, since the moral changes in the story are pragmatically motivated as responses to practical difficulties in living together as interdependent humans. The question we address in this article is whether pragmatic naturalism can explain moral change in a way that allows it to be, at least at some later stages of evolution, objectively progressive (or regressive). More exactly, can progressive/regressive moral change as conceived within this theory of moral evolution be normatively objective in a way that is consistent with the theory’s demand that moral change be explained with psychological realism? We will argue that it can, even given a surprisingly robust conception of normative objectivity. Consider the idea articulated by Russ Shafer-Landau (2003: 15) that an objective moral truth (or fact) must be ‘stance-independent’ in that it exists independently of all our evaluative attitudes, taken collectively, whether we have them now or would have them on reflection under ideal conditions. Sharon Street (2006) has argued that this conception of moral objectivity leads to scepticism about moral knowledge when combined with the above assumptions about moral evolution. Kitcher (2011: 178–86) offers an objection to the existence of such ‘external’ moral truths (or facts) that is related to
Survey of Western Tragopan, Koklass Pheasant, and Himalayan Monal populations in the Great Himalayan National Park, Himachal Pradesh, India

Surveys conducted in the late 1990’s indicated that pheasant populations in the Great Himalayan National Park, Himachal Pradesh, India were declining. In 1999, the government legally notified the park and authorities began enforcing the Indian Wildlife (Protection) Act, banning biomass extraction within park boundaries and reducing human disturbance. Populations of three pheasant species (Western Tragopan, Koklass Pheasant and Himalayan Monal) were subsequently surveyed in the park during the breeding season (April–May) in 2008. Call counts and line transects were used to assess current abundances and gather more information on the characteristics of these species in the wild. Relative abundances of all three species were significantly higher than in previous surveys. Tragopan males began their breeding calls in late April and continued through May whereas Koklass males called consistently throughout the study period. The daily peak calling periods of the two species overlapped, but Tragopan males began calling earlier in the morning than Koklass males. Monals were most often sighted alone or in pairs and larger groups tended to have equal sex composition or a slightly higher number of females than males. This survey contributes to our understanding of the behaviors of these species in the wild and provides a preliminary indication that populations in the Great Himalayan National Park may be recovering from decline.
Clarification of saline textile dye waters using haloarchaeal aerobic sequential bioreactor system

The presence of high concentration of salts in textile industrial effluent waters is a major hindrance to use of conventional activated sludge treatment. Hence, microbial processes functional at high concentration of salts are sought for. We devised an aerobic synthetic bioreactor using Halorubrum saccharovorum strain GUMFAS1 producing cellulase-free xylanase and Halococcus saccharolyticus strain GUFF70 producing xylanase-free cellulase, which requires and resist high concentrations of salt. Individual, whole cells of Halorubrum saccharovorum and Halococcus saccharolyticus gave a decolourization efficiency of 38%, 45%, 58% and 28%, 30%, 45% for methylene blue, malachite green and congo red, respectively. Decolourization could be increased to 40%, 50% and 60% for methylene blue, malachite green and congo red, respectively by using whole cells of both cultures in 1:1 (v/v). Spent media containing 16.4 U/ml of crude cellulase and 11.2 U/ml of crude xylanase could also decolourize the synthetic textile waters in addition to degrading cellulose and hemicelluloses. The mixture of whole cells and crude enzyme supernatants achieved 79% decolourization of mixture of synthetic textile dye waters in four days. Conclusively, the process devised by us is the first report on using archaeal microbes for decolourization of toxic dyes as well as degradation of cellulose and hemicellulose from saline synthetic textile waters.
Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision

Combining visual information with inertial measurements represents one popular approach to achieve robust and autonomous navigation in robotics, specifically for low-cost aerial vehicles in GPS-denied environments. In this paper, building upon both the recent theory of Unscented Kalman Filtering on Lie Groups (UKF-LG) and the theory of invariant Kalman filter based SLAM we proposed recently, an innovative UKF for the monocular visual inertial problem is derived, where the body pose, velocity, and the 3D landmarks' positions are viewed as a single element of a (high dimensional) Lie group SE2+p(3), and where accelerometers' and gyrometers' biases are appended to the state and estimated as well. The efficiency of the approach is validated on a real data set, where the proposed filter is shown to compare favorably to the conventional UKF, and to some recent UKF variants of the literature.
FOULING OFF THE CURVES: THE MEDIATING ROLE OF RESILIENCE AS AN ASSAULT AGAINST TEACHERS STRESS

The purpose of this research is to test the mediating role that resilience plays between job demands and job stress of university teachers. For this purpose a total of 243 questionnaires were collected from university teachers and data so gathered was analyzed using Structural Equation Modeling , to test the fit of the proposed model. The results show that the relationship between teachers’ job demands and job stress is mediated by teachers’ resilience. The model serves as a source for epitomizing the key concepts in the given field of study and furthering the research in exploring other positive constructs and their interaction with job stress
The buying and selling process at the top and bottom of the pyramid in the Brazilian smartphone market

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
Time-series analysis of Nigeria rice supply and demand: Error correction model approach

The study examined a time-series analysis of Nigeria rice supply and demand with a view to determining any long-run equilibrium between them using the Error Correction Model approach (ECM). The data used for the study represents the annual series of 1960-2007 (47 years) for rice supply and demand in Nigeria, derived from the World Rice Statistics compiled by the International Rice Research Institute (IRRI, 2009). The order of integration and the level of co-integration were determined using the Augmented Dickey Fuller (ADF), Johansen co-integration and Granger causality test. The result of the descriptive statistics showed that rice supply and demand had means of 1.8 and 1.6 million metric tonnes respectively with a demand-supply lag of 0.18 million metric tons. The Trace test indicated one co-integrating equation at the 0.05 level of significance while the Granger causality ran one-way from supply to demand. The result of the ECM shows that the co-efficient of the short-run and long-run relationships between rice demand and supply were 1.102963 and -0.043497 respectively. There is disequilibrium between Nigeria rice supply and demand in the short-run but re-equilibrates at 0.043. Thus, the more the demand for rice, the higher the production is expected in order to avoid any shortage, in the short-run, which though will always even out in the long-run. Nigeria rice supply-demand exhibit disequilibrium in the short-run but has a long-run equilibrium. KEYWORDS : Rice, Integration, Co-integration, Unit-Root And Stationarity.
Unemployment and Econometric Learning

We apply well-known results of the econometric learning literature to a standard RBC model with unemployment. The unique REE is always expectationally stable with decreasing gain learning, and this result is robust to over-parametrisation of the econometric model relative to the minimum state variable form used by agents (Strong E-stability). And so, from this perspective, the assumption of rational expectations in the Mortensen-Pissarides is not unreasonable. Using a parametrisation with UK data, simulations suggest that the implied rate of convergence to the rational expectations equilibrium (REE) with least squares learning is however slow. The cyclical response of unemployment to structural shocks is muted under learning, and a parametrisation which guarantees root-t convergence is generally not consistent with attempts to match the observed volatility of labour market data using the standard model.
An Exploration of Consumers' Perceived Value of Sustainable Brands in India

This paper explores the factors that influence and the barriers that hinder consumers’ sustainable consumption behavior using consumer value approach. Thirty two indepth interviews were conducted which captured their true experiences, thoughts and feelings in context of their purchase and consumption of sustainable brands. Thematic analysis of the data using NVivo10 qualitative software indicated that consumption benefits such as functional, social, hedonic and altruistic benefits had a strong influence on sustainable consumption behaviour. Limited availability of sustainable brands, high price premiums, low performance of sustainable brands, and high cost of evaluation hindered the consumption of sustainable brands. A conceptual model of sustainable consumption behaviour was developed based on the findings and the literature. The new model would assist researchers and marketers to effectively promote sustainable purchase behaviour in India.
Typology and Hierarchy of Students' Motivations to Use Technology in Learning

Considerable discussion has taken place in practice and academe regarding the need for changes to the educational system to better suit current student’s approaches and preferences for technology use in learning. Much of this discussion involves assumptions about the current students (referred to by some as ‘digital natives’) preference for independent learning and that students are motivated in similar ways to use technology to achieve and support their preferred learning style. This study sought to better understand student’s motivations for technology use in learning and whether assumptions about the homogeneity of motivations are warranted. We sought to identify students’ motivation typology and any groupings within these typologies, and understand the inter-relationship between motivations. Using data collected from 16 Information Systems (IS) students via the Repertory Grid Interview technique (RGT), a cluster analysis segmented respondents into two distinct groups: ‘Independent Learners’ and ‘Traditional Learners’. A hierarchical framework of technology use motivations was developed for each group using Interpretive Structural Modelling (ISM) and Cross-impact Matrix Multiplication Applied to Classification (MICMAC) was used to categorise each group’s motivation factors. Results show that the two groups were driven to achieve the same learning goals by different paths and hence questioning the assumption of homogeneity in technology use motivations among the current student cohort.
Quantifying the potential for high‐altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel‐based methods

All chemical transport models require an estimation of the vertical distribution of smoke particles near the source. This study quantitatively examines the strengths and weaknesses of several fire products for characterizing plume buoyancy and injection heights in the North American boreal forest during 2004–2005. Observations from the Multiangle Imaging Spectroradiometer show that 21% of smoke plumes are injected more than 500 m above the boundary layer (BL500) and 8% exceed 2.5 km above ground level. Corresponding observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) show that probability of injection above the BL500 exceeds 60% for pixel‐based fire radiative power (FRPp) values above ~2500 MW. Increasing values of subpixel‐retrieved fire area and temperature also correspond to higher injections but only after removing fire pixels with a weak 11 µm fire signal and clustering. The probability of injection above the BL500 reaches 50% when the subpixel radiant flux (FRPf flux) exceeds 20 kW/m2, highlighting its potential for estimating plume buoyancy. However, these data have limitations similar to FRPp, where the highest probability of injection corresponds to a small percentage of the data set (5–18%), and many high‐altitude injections occur with lower values. Examinations of individual smoke plumes highlight the importance of combining pixel‐level and subpixel outputs and show that plume injection is also sensitive to the fire pixel spatial distribution and meteorology. Therefore, an optimal method for predicting high‐altitude injections will require some combination of injection climatology, FRPp, FRPf flux, and meteorology, but each variable's importance will depend on fire event characteristics.
Molecular Identification and in-vitro Antifungal Susceptibility of Fusarium sp. Isolated from Corneal Scrape

Abstract Keratomycosis can have deleterious effect to human eye and may lead to loss of vision. Fungal keratitis caused by a Fusarium species was isolated and described. The isolate was identified to be Fusarium solani and confirmed by molecular data based on ITS rDNA sequence. The fungal isolate was evaluated for its antifungal susceptibility against five common antifungal agents. The result indicated that miconazole was highly sensitive but fluconazole and ketoconazole were intermediately sensitive. Amphotericin B was found to be effective against the pathogen with MIC value of 4mg/L. Human pathogenic F. solani is highly diverse and resistant to many antifungal agents. Therefore, accurate identification and susceptibility profile of this species is very essential for rapid diagnosis and treatment.
Balancing Between Open and Closed

This study examines the impact of co-creation on magazine journalism by drawing on data from a structured, sequenced online co-creation process in an established consumer magazine. Co-creation is examined as a method for open journalism. Co-creation surprises and even shocks journalists, as they face the “real” reader, in intensive online reader engagement, instead of the imagined “ideal reader. ” Journalists compromise quality, feature journalism to comply with readers’ wishes, thus breaking the reader contract and consistency in the magazine concept. Co-creation created a strong feeling of ownership over the magazine among readers; however, the end result was disappointment for both journalists and readers due to the failed content-integration process. Co-creation established a connection between the readers, which strengthened the magazines’ community-creator function. The findings indicate that co-creation is a more challenging method in journalism than crowdsourcing. This article contributes to the study of open journalism and the digital future of magazines.
Investigating declining enrolments in secondary mathematics

A recent nationwide report has revealed that over the past two decades, Australian secondary schools have experienced a steady decline of students enrolling in higher-level mathematics courses (Kennedy, Lyons, & Quinn, 2014). Previous reports have noted a similar decline in enrolments in advanced and intermediate levels of secondary mathematics (Barrington, 2006; Forgasz, 2005) and tertiary mathematics (Brown, 2009; Office of the Chief Scientist, 2012). Moreover, Ainley, Kos and Nicholas (2008) discovered that from 2004 to 2007 – and after remaining consistent from 1994 to 2003 – enrolments in the highest mathematics courses in both New South Wales and Victoria had decreased respectively (22.5% to 19%; 12.5% to 9.8%). Commentators have also outlined how declining enrolments at a secondary school level are accompanied by increasing numbers of students opting for lower levels of study in mathematics and the ‘softer’ sciences (Dow & Harrington, 2013; Kennedy et al., 2014). Findings from the Maths? Why Not? research project (DEEWR, 2008) indicated key influences why Australian students enrol in higher-level mathematics courses. These findings were presented as school influences, sources of advice influences, and individual influences (DEEWR, 2008). Although this research outlined reasons why certain secondary students enrol in higher-level mathematics courses, no reasons were offered as to why other capable students do not enrol in these courses. In a similar vein, research findings from the past decade have only pointed to declining enrolments in higherlevel mathematics, without investigating the reasons for this trend. Additionally, there is no research available that seeks to explain the declining student enrolments in a Western Australian context.