Miracle-dz/UniFAR-FTUs huggingface dataset:
“ Bright ” Aspects of “ Dark ” Personality Traits

The study tested the hypothesis that subclinical psychopathy, unlike Machiavellianism and subclinical narcissism, is intrinsic to the image of a positive character, and thus that respondents evaluating characters based on Dark Triad traits would attribute a lower level of Machiavellianism and narcissism but a higher level of psychopathy to the characters than to themselves. The participants of the study (n = 72, 63% women, aged 16–69, M = 27,8, SD = 9,11) filled out questionnaires for Dark Triad traits (SD3), the Big Five (Short Measure of the Big Five Personality Domains), and tolerance for ambiguity (brief measure). The respondents first completed the questionnaires for themselves and then filled out the same forms for four characters from two films ("The Rifleman of the Voroshilov Regiment" and "Leviathan"). The film characters were selected based on a moral assessment ("positive" or "negative") and whether they were able to achieve their goals ("successful" or "unsuccessful"). The instructions emphasized that respondents should answer questions not to reflect their perceptions of a given film character, but as the character himself would answer if he were being completely honest. As expected, the resulting correlation of Dark Triad scores in self-evaluations and evaluations of film characters showed that negative characters were ascribed higher Dark Triad levels. Positive characters had lower narcissism and Machiavellianism scores than negative characters and respondents’ self-evaluations on corresponding traits. However, the correlation of psychopathy scores in self-evaluations and in evaluations of film characters was different. The lowest psychopathy scores were found in respondents’ self-evaluations. Study participants attributed higher psychopathy scores to positive characters than to themselves; the scores of negative characters were higher still. Thus, the study hypothesis was confirmed: the image of a positive character presumes a relatively high level of psychopathy. A comparison of Big Five and tolerance for ambiguity scores demonstrated that positive characters were ascribed higher levels of Agreeableness and Conscientiousness and lower levels of tolerance for ambiguity, Extraversion, and Openness to Experience.
The effects of endogenous and exogenus orienting of attention on source memory

The aim of this study was to determine the effects of endogenous and exogenous orienting of attention on episodic memory. Thirty healthy participants performed a cueing attention paradigm during encoding, in which images of common objects were presented either to the left or to the right of the center of the screen. Before the presentation of each image, three types of symbolic cues were displayed to indicate the location in which the stimuli would appear: valid cues to elicit endogenous orientation, invalid cues to prompt exogenous orientation and neutral or uncued trials. The participants’ task was to discriminate whether the images were symmetrical or not while fixating on the center of the screen to assure the manifestation of only covert attention mechanisms. Covert attention refers to the ability to orient attention by means of central control mechanisms alone, without head and eye movements. Trials with eye movements were excluded after inspection of eye-tracker recordings that were conducted throughout the task. During retrieval, participants conducted a source memory task in which they indicated the location where the images were presented during encoding. Memory for spatial context was superior during endogenous orientation than during exogenous orientation, whereas exogenous orientation was associated with a greater number of missed responses compared to the neutral trials. The formation of episodic memory representations with contextual details benefits from endogenous attention.
Aging Effects on the Performance of a Brain-computer Interface

Aging is accompanied by physical and functional changes in the brain, such as a decrease in long-term memory, inhibition, size, and white matter integrity [1]. PET and fMRI studies reported that compared to younger adults, older adults’ brains displayed less lateralization when performing the same tasks [2], showing an overactivation of brain regions not activated in younger adults [3]. This pattern of asymmetry reduction has been termed the Hemispheric Asymmetry Reduction in Older Adults (HAROLD) [4]; more generally this agerelated overactivation is accepted as compensatory, and termed the CompensationRelated Utilization of Neural Circuits Hypothesis (CRUNCH) [3].
Optimised Transformation Algorithm For Hadoop Data Loading in Web ETL Framework

Web ETL unlike conventional ETL framework requires considerable improvements in all the three layers i.e. Extraction, Transformation and Loading due to the inherent nature of web input data. Websites are huge and are unique source of information, out of such huge information available on the websites, finding and analysing the required and relevant data is critical as the data may be foul consisting of redundant data or misspelled. Determining integrated record that stands for identical real world entities in abundant ways is the major problem to be analysed for any database. Hence, Web ETL transformation layer functionality of data transformation becomes mandatory in determining the pertinent information to be examined. Since the data on the web is “very voluminous” hence loading only clean data in data warehouse is necessary for fast processing to achieve accurate result. The present research focuses on data transformation in web ETL framework and proposes a modified technique to employ token wise sentence sorting to remove redundant records from the patent database along with Levenshtein distance used for string matching. Afterwards the cleaned data is transformed and loaded from this staging area to hadoop environment. The integration of proposed transformation technique with hadoop system delimits the constraint of data processing, storage and retrieval of large data structure from conventional data warehouse system.
oftechniques for finding Semantic Similarity between interacting proteins

Gene Ontology is gaining attention nowadays. Gene ontology has been widely used for proteinprotein interaction (PPI) networks to discover functions of genes from all the organisms. GO maintains a dynamic, structured, precisely defined and controlled vocabulary of terms to represent the roles and cellular localizations of proteins. Gene ontology terms are annotated to proteins. Given GO and its annotation data, functional closeness between two proteins is estimated by measuring their semantic similarity. The semantic similarity between two interacting proteins can be estimated by combining the similarity scores of the GO terms associated with proteins. There are several techniques available to find semantic similarity between two interacting proteins. These methods for computing the semantic similarity between GO terms are based on either information content of GO terms or topological properties of the gene ontology graph.
Estimating Perception Indexes to Model Mixed Human-Robot Societies

This white paper describes an experiment on having a robot inhabiting a typical indoor human environment. The goal is twofold, namely, fitting statistical models to a set of performance indexes, and assess those indexes on a human population inhabiting a test site. The experiment use the networked robotics facilities at the ISR/IST research institute and it amounts to have a single robot moving around either in autonomous or semi-autonomous mode in the spatial areas used by the human population without forcing the interaction with humans. The evaluation of the experiment uses an online survey based on a Likert questionnaire from which a number of hypothesis formulated on the behavior of the inhabiting human population are tested. The survey got a total of 39 answers from a population with a variety of cultural/technical background from which a set of 5 indexes were tested using standard hypothesis tests. In a sense, the paper validates an empirical modeling strategy through multiple known statistical techniques. The results obtained validate the use of the empirically defined indexes that are representative of a typical human population. Moreover, in addiction to the specifics of the experiment, the paper discusses typical arguments beyond exact science, in the overlapping with what is other form of structuring a paper, that may mask interesting conclusions.
Encoding Position Improves Recurrent Neural Text Summarizers

Modern text summarizers are big neural networks (recurrent, convolutional, or transformers) trained end-to-end under an encoder-decoder framework. These networks equipped with an attention mechanism, that maintains a memory of their source hidden states, are able to generalize well to long text sequences. In this paper, we explore how the different modules involved in an encoder-decoder structure affect the produced summary quality as measured by ROUGE score in the widely used CNN/Daily Mail and Gigaword summarization datasets. We ﬁnd that encoding the position of the text tokens before feeding them to a recurrent text summarizer gives a signiﬁcant, in terms of ROUGE, gain to its performance on the former but not the latter dataset.
Animal-level factors affecting the results of the first single intradermal test for bovine tuberculosis in dairy calves in Chiang Mai , Thailand

The objective of this study was to identify animal-level factors affecting bovine tuberculosis (bTB) status as determined by the single intradermal tuberculin (SIT) test firstly applied to 1 year-old dairy cattle in Chiang Mai, Thailand. A total of 137 6-month-old calves were randomly selected from 28 small-holder dairy farms in Chiang Mai province, Thailand. Individual data of calves including history of bTB of the farms, bTB status of the dams, general farm management, average dairy gain (ADG) of the calves, occurrence of other diseases, and contacts with other animal species, were collected monthly for 6 months. At ≥ 12 months of age, calves were firstly tested for bTB using the SIT test. Firth penalized logistic regression was used to analyze the associations of factors affecting bTB status of calves. The result showed that more SIT reactors were detected among selected calves from farms with a history of bTB (11.5%, 7/61) compared to those farms with no history of bTB (1.3%, 1/76) (p < 0.05). From the logistic regression analysis, we found that calves with high ADG were less likely to become SIT reactors at their first SIT test compared to those with low ADG (p < 0.01). To control bTB in dairy cattle, farm practices to limit contact between adult cattle and young calves, together with proper nutritional management for calves are recommended.
The Parallel Factor Analysis and the Tucker Model : A Simulation Study

The electroencephalogram (EEG) provides a useful tool for the description of the neural activity of a brain. Analysis of multichannel, spatially distributed, EEG information is preferred over a separate analysis of EEG signal from each electrode. However, because of the multiway character of the EEG data, the hidden sources of neural activity cannot be reliably extracted by standard statistical methods like the principal component analysis (PCA) or factor analysis. The parallel factor analysis (PARAFAC) [1, 2] represents a generalisation of PCA in higher dimensions and can be used for detection of hidden factors of multichannel EEG in time, space and frequency domain [3]. However, when the measurement with a lower number of EEG electrodes is analyzed, the resemblance of the observed spatial distribution of several, in frequency not overlapped oscillatory sources, may indicate that the usage of a more flexible Tucker3 model can be preferred. In this study, we validate and compare the PARAFAC and Tucker3 model on two types of simulated EEG data; i) with a different spatial location of neural activity of the target frequencies and ii) with a different number of electrodes distributed over the whole scalp. The aim of this analysis is to better understand situations where the Tucker3 model leads to a more parsimonious representation of EEG data, but with a comparable explanation of neural activity variability as the PARAFAC model.
THE INFLUENCE OF COLONY POPULATIONS ON HONEY PRODUCTION

Two ultimate objectives form the basis of the beekeeper^s business, namely, the production of a crop and the conversion of that crop into money. The amount of honey produced per colony has an even greater significance in determining profits than the market price received for the honey. ^ ^ Many factors affect the yield of colonies and yet very few usable data have been collected upon which an accurate analysis of the significance of any one factor can be based. The intensity and length of the honey flows are of first importance in characterizing differences between seasons, localities, regions, etc. Populations, races or strains of bees, and management contribute to individual variations between colonies and apiaries under the same honey flow. Individual colonies often produce yields many times the average for an apiary. In a broad sense, variations in yield due to differences in population and management are greater under present conditions than thqse due to the nature of the honey flow. The average beekeeper is not obtaining the maximum production per colony for any particular season or locality. The purpose of this paper is to outline a method for making an analysis of the influence of colony populations on production, and to give the preliminary results of studies of this relationship carried on by the Intermountain States Bee Culture Field Laboratory. ^
FACTORS CONTRIBUTING TO THE REDUCTION OF OCCUPATIONAL EXPOSURES AT DUKOVANY NPP

The recent ISOE issue of the ISOE Information Sheet, the European Dosimetric Results for 2006 as well as other official ISOE papers including the journals Occupational Exposures at Nuclear Power Plants, Annual Reports of the ISOE Programme, illustrate the fact that collective doses at the Czech nuclear power plants are very low and maintained at a stable level for a long time. Progress to date has placed the Czech Republic reactors at the top of the group of light and heavy water reactors in the world. Because of owning these results, the Czech Republic has a special responsibility, which involves explaining these results to the OECD nuclear society (OECD NEA ISOE), dealing with these results inside that society, and sharing experience related to dose reduction with both the ISOE and IAEA communities. Considering the fact that the Temelin NPP started its commercial operation in 2002, the main part of these results was obtained from the first Czech nuclear power plant, the Dukovany NPP. Achievement of good results is not a matter of common occurrence but rather comes from a concurrence of many factors. This paper describes the causes of achieving such low collective doses and the ways used for a further optimization process reducing occupational exposure at the Dukovany NPP from the beginning of operation up to now. The objective of this contribution is to explain the approaches leading to reduced occupational radiation exposure, measures which have been implemented and what is needed for the maintenance of excellent results in the future. It is possible to identify three main areas and eight main sources affecting collective dose values. There are one objective and two specific causes for low exposures: 1. Objective cause: • General arrangement • Structural materials • Fuel integrity 2. Specific cause influenced by the state regulation: • Legislative support • Operational safety culture • Well-thoughtout system of radiological monitoring • Effective radiological event feedback • Effective education and training 3. Specific cause uninfluenced by the state regulation: • Modified water chemistry of the primary circuit adopted by the licensee • Licensee’s system of radiation work debriefing All the items specified above contribute to a unique concurrence of circumstances leading to the constantly low occupational exposures at the Czech nuclear power plants. The paper discusses all factors involved in these good results.
Optimal Client-Server Assignment for Internet Distributed Systems

We investigate an underlying mathematical model and algorithms for optimizing the performance of a class of distributed systems over the Internet. Such a system consists of a large number of clients who communicate with each other indirectly via a number of intermediate servers. Optimizing the overall performance of such a system then can be formulated as a client-server assignment problem whose aim is to assign the clients to the servers in such a way to satisfy some prespecified requirements on the communication cost and load balancing. We show that 1) the total communication load and load balancing are two opposing metrics, and consequently, their tradeoff is inherent in this class of distributed systems; 2) in general, finding the optimal client-server assignment for some pre-specified requirements on the total load and load balancing is NP-hard, and therefore; 3) we propose a heuristic via relaxed convex optimization for finding the approximate solution. Our simulation results indicate that the proposed algorithm produces superior performance than other heuristics, including the popular Normalized Cuts algorithm.
Embedding English to Welsh MT in a Private Company

This paper reports on a Knowledge Transfer Partnership (KTP) project that aimed to implement machine translation technology at a Welsh Language Service Pro-vider, Cymen Cyf 1 . The project involved leveraging the company’s large supply of previous translations in order to train custom domain-specific translation engines for its various clients. BLEU scores achieved ranged from 59.06 for the largest domain-specific engine to 48.53 to the smallest. A small experiment using the TAUS DQF productivity evaluation tool (Görög, 2014) was also run on the highest-scoring translation engine, which showed an average productivity gain of 30% across all translators. Domain-specific engines were ultimately successfully introduced into the workflow for two main clients, although a lack of domain specific data proved problematic for others. Various techniques such as domain-adaptation as well as improved tagging of previous translations may ameliorate this situation in the future.
Application of Qualitative Information System in Assessing Household Water, Sanitation and Hygiene Behaviors in Rural Bangladesh: A Cross-sectional Comparative Study

Ensuring the condition of water, and sanitation facilities is the early step to behavior change. However, mere provision of facilities does not ensure the desired behavioral change, thus health benefits. To improve health of the rural poor, the water, sanitation and hygiene (WASH) program of Bangladesh Rural Advancement Committee (BRAC) has been working in rural sub-districts since 2006. The main objective of the present study is to assess the status and quality of hygiene practice of some WASH indicators by the application of qualitative information system (QIS). This was a cross-sectional comparative study between intervention and comparison areas. A multi-stage random sampling technique was used to select study samples, where each sub-district was considered as a cluster. Total 880 households were selected randomly from 22 upazilas for data collection. Thirty-six interviewers grouped into twelve were trained intensively on data collection tools and techniques. Both observed (spot check) and self-reported data were collected using structured questionnaire to assess the status and quality of WASH practices. The scaling principles of qualitative information system (QIS) were applied to analyze data on WASH behaviors. The uniqueness of QIS method is that WASH practices are monitored and measured by collecting quantitative information on qualitative aspects. More households in intervention areas than comparison areas scored above benchmark in using arsenic free and protected drinking water source (69%. vs. 53%). There was no significant difference between the areas in terms of installing latrine within 12 steps of tubewell. Higher proportion of households in intervention areas had clean and two-pit latrines than comparison areas (61% vs. 34%). Drinking water was collected and stored safely from the safe source by 65% households in intervention areas higher than the comparison areas (65% vs. 52%). Unhygienic sanitation practices (e.g., open defecation, latrine without ring-slab, water seal) were found higher among the households in comparison areas than intervention areas (56% vs. 22%). More households in intervention than comparison areas reached at above benchmark in maintaining hygiene. However concern over unhygienic sanitation behaviors and relative distance between latrine and tubewell is required for enabling environment thus public health.
Corporate entrepreneurship antecedents and organization performance in Kenya: An empirical study

As research on internal environment for corporate entrepreneurship evolves, numerousresearchers have acknowledged it as an important strategy in promoting and fostering anenvironment for innovation. The aim of this study was to adopt an entrepreneurship model(Corporate Entrepreneurship Antecedents) predominantly developed and mostly applied indeveloped economies. The model was then to be tested for its adaptability in an emergingeconomy, in this case Kenya and establish its influence on organization performance. This hasremained largely untested. A quantitative study approach was carried out, using a questionnairesurvey to obtain responses from 43 established Kenyan banks. The findings indicated thatentrepreneurship models are contingent on the economic and environmental context.Confirmatory factor analysis identified three specific dimensions that emerged from the originalfive dimensions instrument adopted which are crucial for an environment conducive toentrepreneurial behavior in Kenya. They include top management support, workdiscretion/autonomy and rewards/reinforcement. These antecedents also strongly influenced theorganization performance and therefore offer timely contribution towards advanced research incorporate entrepreneurship in emerging economies. This paper enriches understanding of thecontingent nature of entrepreneurship models, suggesting that emerging country context mattersin terms of organization internal environment for corporate entrepreneurship and its effect onperformance.