Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF FLUORESCENT LIGHT ON SELECTED ANTIOXIDANT COMPOUNDS AND ANTIOXIDANT ACTIVITY DURING STORAGE OF FRESH-CUT CARAMBOLA (AVERRHOA CARAMBOLA L.) FRUIT

The effects of fluorescent light on the availability of selected antioxidant compounds and antioxidant activity during storage of fresh-cut carambola (Averrhoa carambola L.) fruit were investigated. The samples of fresh-cut fruit, stored at 5 ± 1°C, were exposed to fluorescent light (157 Lux) for 12 days. Total phenolic compounds (TPC) and ascorbic acid (AA) content of the processed fruit were analyzed using Folin-Ciocalteu reagent and high performance liquid chromatography (HPLC), respectively. Antioxidant activity of the fruit was assessed following 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging capacity and ferric–reducing antioxidant power (FRAP) assays. The results of the present study showed that light exposure did not exert any significant effect, while storage period significantly reduced the AA content of the fruits tested. On the other hand, with few exceptions, there were notable random changes, recorded in the TPC and antioxidant activity of the fruit as function of storage period and light exposure.
Melodic accent: Experiments and a tentative model

The perception of accent in tone sequences is a constructive process in which physical cues are matched against anticipated accents. The anticipation of the observer can experimentally be controlled by embedding the short tone sequence to be investigated in a context with a meter: method of controlled anticipation. An investigation of melodic accentuation, resulting from the succession of frequency intervals, revealed that in principle every change of frequency level between two successive tones can be interpreted as accentuation of the terminal tone of the change. The melodic contour seems to be most important. The first of two intervals in opposite directions operates as the strongest accentuation, whereas two intervals in the same direction are equally effective. The effect of relative magnitude is less pronounced. Only in the case of clearly diverging relative magnitudes the largest interval is the most powerful, particularly when the intervals are in the same direction. The advantage of rises over fa.
EXPERIMENTAL STUDY ON THE USE OF CHITOSAN-COATED ACTIVATED CARBON TO REDUCE THE CONTENT OF METAL Fe THE PRODUCED WATER

In this paper explain about levels of iron precipitate Fe (OH) in the high produced water causing corrosive properties and affect precipitation the channel pipe. Fe bacteria also cause odor and bad taste in the water. The aim from this research is want to know how the effect of the use of activated carbon, chitosan and chitosan-coated activated carbon (CCAC) to absorb metal ions Fe in produced water. The study was conducted by the method of adsorption in batch with initial concentration in produced water Fe 27.34 ppm. 90 minutes contact time and adsorbent mass varies, 0, 3, 6, 9, 12, 15, 18, 21, 24, 27, and 30 grams. The results showed that the CCAC adsorbent mass weighing 18 grams can reduce the metal ion content of Fe in the produced water up to 93%, Chitosan with a mass of 24 grams adsorbent capable of up to 83.9% while the activated carbon is only capable of amounting to 65.3% by mass of adsorbent 30 grams. The model used is the adsorption isotherms of Langmuir and Freundlich adsorption isotherms to determine the appropriate model in the use of adsorbent CCAC. Langmuir adsorption isotherm equation linearized equation (y = 0.4816x + 0.6294) with R = 0.9956 whereas the adsorption isotherms Freundlich equation (y = 0.1347x + 0.1164) with R = 0.9813.
Psychological Capital as Mediation between Family Support and Creative Behaviour in Handicraft Sector SMEs

Creativity is important for organizational health in today's economy, as it encourages creative behaviour. The purpose of this paper is to explain the gap of empirical research results and offer alternative solutions to overcome the inconsistency of the relationship between psychological capital and creative behaviour. This paper examines how psychological capital with hope, self-efficacy, resiliency, and optimism mediate the relationship between family support and creative behaviour. This study was conducted on 125 handicraft sector SMEs which includes three districts in Indonesia namely Banyumas, Banjarnegara and Purbalingga. The main purpose of this study is to analyse how family support, mediated with psychological capital, can improve creative behaviour. Quantitative and simple random sampling approach uses questionnaires to collect data from the SMEs sector consisting of SMEs owners. Structural Equation Modelling (SEM) is used as a method of analysis. The results of data analysis show that creative behaviour can be increased by family support through psychological capital mediation.
Relative Importance of the Austral Summer and Autumn SAM in Modulating Southern Hemisphere Extratropical Autumn SST

AbstractSea surface temperature (SST) variability in the extratropical Southern Hemisphere is mainly determined by physical processes at the air–sea interface associated with the Southern Hemisphere annular mode (SAM). Both the austral summer [December–February (DJF)] and autumn [March–May (MAM)] SAM can imprint their signals on southern extratropical MAM SST. Here three approaches are employed to determine the relative importance of the DJF and MAM SAM in modulating southern extratropical MAM SST: a simple lead–lag correlation without SST decomposition, a decomposition method based on linear regression, and a new approach named the persistent signal decomposition (PSD). The results show that the DJF SAM plays a more important role than the MAM SAM in driving MAM large-scale southern extratropical SST anomalies, implying that MAM SST anomalies caused by the preceding DJF SAM would not be largely perturbed by the MAM SAM, and thus the DJF SAM can be regarded as an effective predictor for the following seas.
Classifying and Comparing Approaches to Subspace Clustering with Missing Data

In recent years, many methods have been proposed for the task of subspace clustering with missing data (SCMD), and its complementary problem, high-rank matrix completion (HRMC). Given incomplete data drawn from a union of subspaces, these methods aim to simultaneously cluster each data point and recover the unobserved entries. In this work, we review the current state of this literature. We organize the existing methods into five distinct families and discuss their relative strengths and weaknesses. This classification exposes some gaps in the current literature, which we fill by introducing a few natural extensions of prior methods. Finally, we provide a thorough and unbiased evaluation of representative methods on synthetic data. Our experiments demonstrate a clear advantage for alternating between projected zero-filled sparse subspace clustering, and per-group matrix completion. Understanding why this intuitive but heuristic method performs well is an open problem for future theoretical study.
Clustering of X-Ray-Selected AGN

The study of the angular and spatial structure of the X-ray sky has been under investigation since the times of the Einstein X-ray Observatory. This topic has fascinated more than two generations of scientists and slowly unveiled an unexpected scenario regarding the consequences of the angular and spatial distribution of X-ray sources. It was first established from the clustering of sources making the CXB that the source spatial distribution resembles that of optical QSO. It then became evident that the distribution of X-ray AGN in the Universe was strongly reflecting that of Dark Matter. In particular, one of the key results is that X-ray AGNs are hosted by dark matter halos of mass similar to that of galaxy groups. This result, together with model predictions, has lead to the hypothesis that galaxy mergers may constitute the main AGN-triggering mechanism. However, detailed analysis of observational data, acquired with modern telescopes, and the use of the new halo occupation formalism has revealed that the triggering of an AGN could also be attributed to phenomena-like tidal disruption or disk instability and to galaxy evolution. This paper reviews results from 1988 to 2011 in the field of X-ray-selected AGN clustering.
Understanding low female labour force participation: Policy evaluation using microsimulation

We project medium to long term trends in labour force participation and employment for selected low-participation EU countries (Italy, Spain, Ireland, Hungary and Greece), with Sweden as a benchmark, by means of a dynamic microsimulation model. By exploring alternative scenarios to our baseline forecasts and their implications for GDP growth, we find that the gap between male and female participation is mostly explained by (i) differences in the individual conditional behaviour of older female cohorts, (ii) inadequate family policies. In particular, our results show that the conditional behaviour of younger women in the low-participation countries is similar to that in Sweden. In a nutshell, what is needed is not a change of behaviour on the side of women but a change of mentality on the side of institutions and firms.
Study on Prevalence of Cysticercus Bovis in Cattle at Municipal Abbatoir of Kofale District, West Arsi Zone, Oromia Regional State, Ethiopia

Bovine cysticercosis caused by the larval stage of the human tapeworm Taenia saginata is a Zoonotic disease of great public health significance especially in developing countries The Present study was conducted on 768 slaughtered cattle at kofale municipal abattoir in south Eastern Ethiopia between September 2015 to April 2016 to determine prevalence of bovine cysticercosis. The overall prevalence of the parasite was 4.94%. The distribution of parasite in adult cattle was (3.38%) where as in old cattle was 1.56%. The rate of the parasite in adult and old cattle didn’t vary significantly (p>0.05). The rate of the parasite in male and female was 4.03% and 0.91% respectively where there is sex wise significant variation (p<0.05). At the Same time, there is significance (p<0.05) variation of the parasites in different organs with highest rate of the parasite in heart muscle (1.69%, n=13), followed by tongue (1.04%, n=8), masseter muscle (1.04%, n=8), Liver (0.78%, n=6) and diaphragmatic muscle (0.39%,n=3). This indicates the presence of the parasites in the study area so that great attention toward meat inspection, good animal health management and deworming of animals to reduce the burden of the parasites in the study area should be in place. Keywords: Abattoir; Cattle; Cysticercus bovis; Prevalence; Kofale
Non-Cognitive Abilities and Loan Delinquency

Research on household financial decisions has largely focused on the importance of cognitive abilities in decision-making, emphasizing for example that IQ and math ability predict stock market participation and the avoidance of financial mistakes. This paper takes a broader perspective by exploring the role of non-cognitive abilities in household borrowing and default decisions. Within the fields of labor and education economics, noncognitive traits such as self-efficacy – the perceived ability to control one’s future outcomes – predict substantial differences in school achievement and employment outcomes. Using longitudinal household survey data, we show that an individual’s self-efficacy during childhood also predicts differences in future delinquency on debt and bill payments. The effect of self-efficacy on delinquency is both substantial and robust; a one standard deviation increase in self-efficacy corresponds to a 15-20% decrease in the likelihood of delinquency, and this effect is not explained by differences in gender, race, cognitive ability, educational attainment and income, contemporaneous or past.  We thank Tom DeLeire and Lindsey Leininger for helpful comments and discussion. All remaining errors are ours. 1 University of North Carolina, Kenan-Flagler Business School, 300 Kenan Center Drive, Chapel Hill, NC 27599, USA, camelia_kuhnen@kenan-flagler.unc. edu. 2 Northwestern University, Kellogg School of Management, 2001 Sheridan Rd., Evanston, IL 60208-2001, USA, b-melzer@kellogg.northwestern. edu.
Determinants of loans and deposits strategies of foreign bank subsidiaries in emerging countries

This paper focuses on the transmission of bank liquidity shocks in Loan and deposit in emerging markets. First, we attempt to identify the factors that affect the credit strategy of foreign banks in emerging countries. Second, we test whether depositors do exert market discipline on foreign subsidiaries. Combining between financial variables of subsidiaries, their parent banks, and macroeconomic variables of host and home countries, we investigate the factors that are likely to impact the depositors' behaviour. Our empirical approach is based on a Partial Least Squares-Path model, through which we can identify the causal relationships between the various groups of variables. Our results show that foreign bank lending is determined by the specific financial variables of the parent bank as well as macroeconomic variables of the country of origin. This means that the foreign subsidiary's strategy credit is centrally managed at the parent bank and that subsidiaries' credit supply depends primarily on the financial situation of its parent bank. Finally, we evidence market discipline as applied to foreign subsidiaries in emerging countries. We demonstrate that market discipline is strongly affected by the specific characteristics of the subsidiary.
Designing a Qualitative Model of Doping Phenomenon Effect on Sport Marketing in Iran

There a number of factors effecting consumers' purchase behavior. It is believed that celebrities can effect selling positively by transferring their popular image to the endorsed product. But, it is heard lots about excommunicate behaviors in the sport world today. Disclosure of the recent doping affairs relating to Lance Armstrong's seven wins in Tour De France is just one among many spectacular and also negative cases. The main aim of the present paper was to explore the effect of doping phenomenon on sport marketing. Depth interviews data were analyzed in three phases: open coding, axial coding, and selective coding. 297 open codes were achieved by 18 interviews. Grouping axial codes in each case and comparing, all gained codes can be divided in five groups: brand image (athlete and endorsed product brands images), moral reasoning (moral coupling, moral decoupling, and moral rationalization), consumer behavioral consequences (word of mouth, purchasing intention, and brand loyalty), attitude change (attitudes change toward athlete and brand), and moral emotions (moral evaluation, contempt, anger, disgust, and sympathy). The proposed qualitative model for the effect of doping phenomenon on sport marketing in Iran illustrated that moral emotions and product brand image affected by the doped athlete brand image and it resulted in attitudes change toward endorser athlete and endorsed brand and negative consumer behavioral consequences, however, moral reasoning strategies emerged by cognitive dissonance might protect consumers behavior from negative effects.
Do Investors Trade Too Much? A Laboratory Experiment

We run an experiment to investigate the emergence of excess and synchronised trading activity leading to market crashes. Although the environment clearly favours a buy-and-hold strategy, we observe that subjects trade too much, which is detrimental to their wealth given the implemented market impact (known to them). We find that preference for risk leads to higher activity rates and that price expectations are fully consistent with subjects’ actions. In particular, trading subjects try to make profits by playing a buy low, sell high strategy. Finally, we do not detect crashes driven by collective panic, but rather a weak but significant synchronisation of buy activity.
Impact of Daily Arctic Sea Ice Variability in CAM3.0 during Fall and Winter

AbstractClimate projections suggest that an ice-free summer Arctic Ocean is possible within several decades and with this comes the prospect of increased ship traffic and safety concerns. The daily sea ice concentration tendency in five Coupled Model Intercomparison Project phase 5 (CMIP5) simulations is compared with observations to reveal that many models underestimate this quantity that describes high-frequency ice movements, particularly in the marginal ice zone. To investigate whether high-frequency ice variability impacts the atmosphere, the Community Atmosphere Model, version 3.0 (CAM3.0), is forced by sea ice with and without daily fluctuations. Two 100-member ensemble experiments with daily varying (DAILY) and smoothly varying (SMTH) sea ice are conducted, along with a climatological control, for an anomalously low ice period (August 2006–November 2007). Results are presented for three periods: September 2006, October 2006, and December–February (DJF) 2006/07. The atmospheric response differs bet.
Disasters, Poverty, and Coping Strategies: The Framework and Empirical Evidence from Micro/Household Data - Philippine Case

This study analyzed the interactions between natural disasters and household poverty and discussed the coping strategies used by households in response to natural disasters in the Philippines. It used data from the 2011 CBMS Household Profile Survey for Pasay City, Metro Manila and results of relevant past studies. The study found that a) there are existing analytical frameworks for the study of the interactions between natural disasters, household poverty, and household coping strategies; b) some empirical studies have been done in the Philippines analyzing the aforementioned interactions; c) relevant past studies generally point to the negative effect of natural disasters on household income and subsequently on household poverty; and d) past studies also showed that households practice several coping mechanisms to address the effects of natural disasters. Furthermore, based on own estimation done, the study found that the occurrence and frequency of typhoons and/or floods in Pasay City, Metro Manila have significant and negative effects on household per capita income. It concluded that for Pasay City and other similarly situated urban areas in the country, natural disasters have a negative impact on household income and consequently on household poverty. The study proposed future studies that can be conducted on the interactions between natural disasters and household poverty in the Philippines.
Are Seminars on Export Promotion Effective? Evidence from a randomized controlled trial

This paper investigates the impacts of informational and motivational seminars on export promotion targeting small and medium enterprises (SMEs) in the traditional apparel and textile clusters in Vietnam. To control for biases due to self-selection, we conducted a randomized controlled trial and invited randomly selected firms to participate in one-day seminars. Because only some of the invited firms participated in the seminars, we employ an instrumental variable approach in which dummies for random invitation are used as instruments for quantifying participation. We find that the seminars had no significant effect on most firms' preparation for, perception of, or engagement in exporting activity. However, the seminars encouraged large firms and firms with prior export experience, which possibly embody higher productivity and absorptive capacity, to (re-)start exporting. Our results suggest that productivity improvement is an effective means to encourage underdeveloped firms to export, whereas provision of information is effective for productive firms.
A data quality case study for Turkish highway accident data sets

The highway accident data provides valuable information such as accident black spot locations and their spatio-temporal change to the experts. With the help of this information, experts may take timely precautions in order to prevent the incidents from happening in the future. There is a challenging detail here. Highway accident data is often manually collected. For example, an officer submits the whereabouts of accidents in terms of latitude and longitude on a form or on a map to the system. Although many systems are designed to verify the legitimacy of the data to be entered, systems can still be prone to user errors. Users may enter illegitimate values which appear to be valid in the system, i.e. a point that is not on a highway (an outlier) or a point on the highway but not correctly entered (an inlier). These erroneous values are called disguised missing data and yet can arise in many different data sets such as health or survey apart from spatial data sets. However, the way they emerge and the way they appear in spatial data sets such as in the highway accident data sets is different and detection is difficult compared to that of survey and health-related data sets. Consequently, their presence can affect the outcome of data analysis tasks severely which may cause decision makers to make inaccurate decisions. Therefore elimination of these values becomes a necessity prior to the data analysis. In this paper, we will explain the common disguised missing value problems in Turkish highway accident data sets. Since the hotspot analysis will be run after data quality is guaranteed, we have focused on disguised missing values on coordinate information. We will describe a framework about how to detect such values automatically. We believe that the results of this study will be of benefit to the data analysts who are working with similar data sets.
Goal Recognition over Nominal Models

This paper revisits probabilistic, model–based goal recognition to study the implications of the use of nominal models to estimate the posterior probability distribution over a finite set of hypothetical goals. Existing model–based approaches rely on expert knowledge to produce symbolic descriptions of the dynamic constraints domain objects are subject to, and these are assumed to produce correct predictions. We abandon this assumption to consider the use of nominal models that are learnt from observations on transitions of systems with unknown dynamics. Leveraging existing work on the acquisition of domain models via deep learning for hybrid planning, we adapt and evaluate existing goal recognition approaches to analyse how prediction errors, inherent to system dynamics identification and model learning techniques have an impact over recognition error rates.
Impact of Organizational Change on Corporate Performance: The Case of Spin-Offs

One of the most challenging and interesting areas in corporate finance research is the effect that various changes in the organizational structure have on the financial performance of the corporations. The standard assumption in finance textbooks is that shareholders have the ultimate control over the company actions; the managers merely do all they can in order to maximize shareholders’ value. Therefore, we can expect that any corporate restructuring (mergers and acquisitions, spin-offs and sell-offs, staff layoffs or new international ventures) will be made with shareholders’ best interests in mind and should be accompanied, on average, by positive stock market reaction. For this reason, it is remarkable to see that numerous studies keep producing results, conflicting with this theory. For example, multiple articles on mergers and acquisitions showed that, instead of the predicted gains, shareholders of the acquiring firms often lose out in such transactions. Moeller et al. [1] show that the shareholder losses for the US firms that announced acquisitions between 1998 and 2001 amounted to a staggering $240 billion.