Miracle-dz/UniFAR-FTUs huggingface dataset:
Interval Subsethood Measures with Respect to Uncertainty for the Interval-Valued Fuzzy Setting

This work was partially supported by the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge of University of Rzeszow, Poland, the project RPPK.01. 03.00-18-001/10. Moreover, Urszula Bentkowska acknowledges the support of the Polish National Science Centre grant number 2018/02/X/ST6/00214. Mikel Sesma-Sara, Javier Fernandez and Humberto Bustince were partially supported by Research project TIN2016-77356-P(AEI/UE/FEDER) of the Spanish Government.
How Accurately Do Infants Represent Lexical Stress Information in Recently Segmented Words

Eight-month-old monolingual English learning infants are able to use co-occurrence statistics to find words in continuous artificial (e.g., Saffran, Aslin, & Newport, 1996) and natural languages (Pelucchi, Hay, & Saffran, 2009). Although these findings have been replicated numerous times, we still know very little about how these newly extracted words are represented. For example, if infants use TP information to segment a word with a trochaic (strong/weak) stress pattern in speech, will they recognize the same newly encountered word if it is presented with an iambic (weak/strong) stress pattern? Building on work by Pelucchi et al. (2009), infants were familiarized with Italian sentences that had two embedded high transitional probability (HTP; TP=1.0) trochaic target words (e.g., FUga & MElo) – their syllables never occurred anywhere else in the corpus. Following familiarization, infants were tested using the head-turn preference procedure on their ability to discriminate HTP words from two novel words (e.g., PAne & TEma) that had never occurred in the corpus. In a counterbalanced language the HTP and novel words were switched. In Control condition, the trochaic stress pattern of the target words was consistent across familiarization and test, while in the Experimental condition, the stress pattern of the words was changed between familiarization and test, such that if the HTP words in the corpus were trochaic (e.g., FUga and MElo), infants were tested on their ability to discriminate the iambic version of the target words (e.g. fuGA & meLO) from novel iambic words (e.g., paNE & teMA). Across conditions infants listened significantly longer to HTP words compared to Novel words, suggesting that infants’ representation of stress pattern in newly encountered words is not robust yet. These findings suggest that segmental information may override suprasegmental information at this age.
SYNTHNOTES: TOWARDS SYNTHETIC CLINICAL TEXT GENERATION

SynthNotes is a statistical natural language generation tool for the creation of realistic medical text notes for use by researchers in clinical language processing. Currently, advancements in medical analytics research face barriers due to patient privacy concerns which limits the numbers of researchers who have access to valuable data. Furthermore, privacy protections restrict the computing environments where data can be processed. This often adds prohibitive costs to researchers. The generation method described here provides domain-independent statistical methods for learning to generate text by extracting and ranking templates from a training corpus. The primary contribution in this work is automating the process of template selection and generation of text through classic machine learning methods. SynthNotes removes the need for human domain experts to construct templates, which can be time intensive and expensive. Furthermore, by using machine learning methods, this approach leads to greater realism and variability in the generated notes than could be achieved through classical language generation methods.
Proposal 1 Aanvragende organisatie UvA 2 Private partner ( s )

Parliamentary proceedings and other transcripts of meetings are a common document genre characterized by a complex narrative structure. The essence is not only what is said, but also by who and to whom, and why. Standard search tools are tailored to the topical relevance of the content, focusing exclusively on the “what” is said. Modern Web formats based on XML allow for semantic annotations like the speaker of each speech in order to capture this debate structure, as well as the related content of debate. Up to now, unleashing these powerful cues required mastering a complex querying language, and significant “programming” skills, yet modern insights in exploratory search on structured data hold the promise to bring this power into the hands of researchers and the general public. The resulting tools exploit the semantic annotations to bring out what remains hidden in the plain text: the actual political process and strategies within a debate, as well as how the politics evolved over time – of politicians, parties, and the political system as a whole – providing a new data-driven perspective on our political history.
KML IB : T OWARDS M ACHINE L EARNING F OR O PERATING S YSTEMS

Despite the ever-changing software and hardware profiles of modern computing systems, many operating systems (OS) components adhere to designs developed decades ago. Considering the variety of dynamic workloads that modern operating systems are expected to manage, it is quite beneficial to develop adaptive systems that learn from data patterns and OS events. However, developing such adaptive systems in kernel space involves the bottom-up implementation of math and machine learning (ML) primitives that are readily available in user space via widely-used ML libraries. However, user-level ML engines are often too costly (in terms of CPU and memory footprint) to be used inside a tightly controlled, resource constrained OS. To this end, we started developing KMLib, a lightweight yet efficient ML engine targeting kernel space components. We detail our proposed design in this paper, demonstrated through a first prototype targeting the OS I/O scheduler. Our prototype’s memory footprint is 804KB for the kernel module and 96KB for the library; experiments show we can reduce I/O latency by 8% on our benchmark workload and testbed, which is significant for typically slow I/O devices.
Generating SIMD Instructions for Cerebras CS-1 using Polyhedral Compilation Techniques

The Cerebras CS-1 is a computing system based on a waferscale processor having nearly 400,000 compute cores. It is intended for training of and inference on deep neural networks. The architecture has several features specifically designed for this and related fields. One of these is a sophisticated SIMD engine that can mimic a rectangular loop nest of depth at most four. In order to achieve optimal performance, it is crucial to use SIMD instructions as much as possible. This paper describes a high-level polyhedral compiler that takes a high-level algorithm description that can be written manually or extracted from a TensorFlow computation graph and generates input to the low-level C-based compiler. In this intermediate code, the use of SIMD instructions is made explicit. The main focus of the paper is the generation of these CS-1 SIMD instructions for convolution style algorithms. What complicates the task is that the set of computation instances that need to be performed may not at first sight look like they form a rectangular loop nest. The basis of the compilation is formed by an effective combination of relatively well-known, but more specialized polyhedral operations.
Active surveillance of infection caused by Aphanomyces invadans in Malawi

In Malawi, fish is regarded as a cheapest source of animal proteins and other macronutrients. Recent epizootic ulcerative syndrome (EUS) outbreaks reported in countries sharing Chobe-Zambezi river system like Zambia, Democratic Republic of Congo, Botswana, Namibia, Zimbabwe and Republic of South Africa, have posed a major threat to fish production. Malawi’s biggest and important Shire River connects to Zambezi River and there is sharing of waters with Zambia during floods in some areas in north western Malawi. Active surveillance in Malawi was, therefore, conducted in four high risk areas to establish the presence or absence of EUS. Fish were inspected for EUS-like lesions by a trained surveillance team. No fish was found with EUS-like lesions. However, one Barbus paludinosus from Vwaza Marsh had a reddish and swollen caudal peduncle which after doing laboratory tissue squash did not show any evidence of fungal hyphae to suspect EUS but numerous inflammatory cells were seen. Key words: Barbus paludinosus, marsh, EUS, Aphanomyces invadans, sampling sites.
The Psychological Dilemma with the Rise of Artificial Intelligence

The present study examined whether social comparison processes and the pratfall effect exist in the human-robot interaction (HRI) domain. Contrastive upward-comparison theory states when one evaluates oneself in comparison to a superior target perceived as having an unobtainable status, the comparer feels relatively disadvantaged, and may undergo negative psychological consequences (e.g. a worsened self-concept). Because artificial intelligence is becoming increasingly human-like and flawless in its cognitive abilities, the present study hypothesized subjects outperformed by a perfectly performing robot will make contrastive upward-comparisons to it and develop negative feelings of inferiority. The present study also hypothesized, in light of the pratfall effect, that an erroneous robot would be perceived as more humanlike and likeable than an error-free robot. Subjects (N=61) competed against the artificially intelligent Amazon Echo in a trivia contest. The Echo’s success was manipulated so that subjects randomly assigned to the “losing condition” (N=31) were defeated by the Echo, whereas subjects assigned to the “winning condition” (N=30) defeated the Echo. Post competition, participants completed the Social Comparison Rating Scale to measure their rank self-perceptions, and the Godspeed Questionnaire Series to assess their impressions of the Echo in terms of its anthropomorphism and likeability. Results indicated subjects in the losing condition had significantly lower rank self-perceptions suggesting that contrastive upward-comparisons do exist in human-robot interaction. Additionally, the erring Echo was perceived as more anthropomorphic and likeable than the error-free Echo indicating the pratfall effect also exists in the HRI domain. With predictions asserting that robots will be outperforming and displacing humans in many fields within the next half-century, the present study found novel insight into the potential adverse effects associated with such a future.
RELATED QUALITY OF LIFE AMONG PARENT WITH CHILDREN HAVING ACUTE LYMPHOBLASTIC LEUKEMIA

A child who diagnosed as acute lymphoblastic leukemia (ALL) require prolonged care which has an impact on parent’s healthrelated quality of life (HRQOL). The aim of the study was to assess the health-related quality of life of parents and determine the factors that correlate it. A cross-sectional study was conducted using self-administrated questionnaire and 293 parents were recruited. There were 50.9% of total respondents have perceived their quality of life as good and satisfied (51.9%). Mean WHOQOL-BREF scores were 14.54±s.d. 2.20 for the physical health domain, 14.60±s.d. 2.07 for the psychological domain, 15.03±s.d. 2.68 for the social relationships domain, and 14.08±s.d. 2.09 for the environmental domain; the mean overall HRQOL score was 14.53± s.d. 1.96. Socio-demographic characteristics were found to be significantly associated with the parent’s HRQOL (education level, ethnicity, family income, marital status and child age). Multivariate analysis showed that family income accounted for 30% of the variance in the overall HRQOL: 29.4 % of the variance in the psychological well-being domain, 38.5% of the variance in the social relationship domain and 31.4 % of the variance in the environmental domain. The study highlighted certain aspects in the parents’ life that may help in improving their quality of life. It could be useful if the health care providers focused on these significant aspects and implant the programs accordingly.
Assessing the Arabic-English Bilingual Reading Competences

This study investigated the relationships between students’ reading ability in their native and second languages. The researchers assessed the Arabic-English bilingual reading accuracy, fluency, and comprehension of 186 male and female grade four Emirati students from four primary schools. To assess students’ reading fluency and accuracy, students read aloud grade appropriate reading passages in Arabic (L1) and English (L2). The read aloud tests were used to measure reading accuracy which was determined by the number of syllables read correctly in one minute and reading fluency which was measured by the Multidimensional Fluency Scale. Silent reading comprehension tests were used to measure the students’ competence in reading comprehension. The reading comprehension tests involved students reading grade appropriate passages in Arabic and English as determined by analyses of the curriculum and textbooks, and answering comprehension questions. Pearson product-moment correlation coefficients were computed to ascertain the relationships between the variables. The research results showed significant positive correlations between the students’ L1 (Arabic) reading competencies (accuracy, fluency and comprehension), between their L2 reading competencies, and between their L1 & L2 reading competencies.
COMPARATION OF TEACHERS ’ WORK MOTIVATION BASED ON GENDER , AGE , EDUCATION LEVEL , WORK DURATION , RANK , AND SCHOOL LEVEL

Teachers’ work motivation is the main factor affecting the quality of education. If teachers have high motivation, they will do profession tasks optimally, and it will have impact on improving the quality of education. The study aimed to find differences of teachers’ work motivation in terms of the gender, age, education level, work duration, rank, and school level. The study was conducted in Pasuruan, East Java, Indonesia. Samples were 88 teachers that taken by random sampling technique. The data was collected by using questionnaires, and the instrument contained 17-structured items that were measured on a five point scale with a numerical score: strongly disagree (1), disagree (2), undecided (3), agree (4), and and strongly agree (5) for favourable items, and otherwise for unfavourable items. In order to test whether the instrument measured what it was meant to measure, a pilot survey was conducted before the final data collection, and the instrument indicated good reliability and validity coefficient. The data was analyzed by using descriptive statistics, t test, and analysis of variance. Based on the analysis, it can be concluded that there was no differences in work motivation of teachers by gender, age, education level, work duration, rank, and school level. Based on the findings, it needs to be studied more deeply about the dynamic aspects of teachers' work motivation.
Effect of education on second births in Hungary. A test of the partner effect hypothesis

This paper examines the relationship between education and the transition to first, second and third births in Hungary. While a large number of studies in Western European countries report a positive effect of higher education on the transition to second birth rates, studies carried out in former socialist countries presented mixed results. Studies in Hungary have found a U‐ shaped relationship between education of the mother and her fertility. The fertility of highly educated women is higher than that of women with secondary education. This pattern is paradoxical since the economic theory of fertility would predict a decrease of fertility with education. The study hypothesizes that the partner effect hypothesis explains the effect of higher education on second birth rates in Hungary. The hypothesis implies that highly educated women tend to marry or cohabit with highly educated men and the good career prospect of male college and university graduates enables couples to raise more children. Transitions to births as well as the partner effect hypothesis are examined using panel data from the Hungarian Generations and Gender Survey, conducted in 2001, 2004 and 2008. Parity‐specific durations to conceptions are analyzed using lognormal survival models. The findings indicate that • higher education of the mothers o increases the time to first conception o decreases the time to second conception • the education of the male partner o reduces the waiting time to the second conception o turns the effect of women’s own education insignificant o does not affect the transition to first birth • the results remain robust after controlling for sample selection The study concludes that • the partner effect hypothesis explains the positive effect of tertiary education to the transition to second birth in Hungary • the lower fertility of women with secondary education is due to their limited access to partners with high education
Effect of Oral Contraceptives on Coagulation Parameters among Sudanese Women in Khartoum state

Background: The contraceptive pills are the common name for oral contraception; it's one of the safest, Methods of birth control. Objectives: To evaluate the Effect of oral contraceptives treatment on the Coagulation parameters (PT, APTT, and D-Dimer) among Sudanese women. Materials and Methods: A descriptive cross sectional study conducted at Khartoum State, Sudan, during the period of May 2018 to December 2018.sixity nine (N = 69) patients using oral contraceptive pills were included in this study. Venous blood was obtained and platelets poor plasma (PPP) prepared, then PT, APTT determined using Coagulo-analyzer. D-Dimer measured by quantitative method using Ichroma analyzer. Results: The present study showed that there was no significant differences in mean of PT in study group compared to the mean normal control (p value = 0.06) . In the other hand the mean of INR is significantly (p value = 0.04) increased in study group compared to the mean of normal value (mean = 1.05 and 1.0 respectively), whereas APTT was significantly decreased in study group (compared to the mean of normal value (mean = 31.3, 33), (p value = 0.001). But the D-Dimer was positive for 8 women (11.6%) (D-Dimer = > 10000 ng/ml). Conclusion: There was significant decrease in APTT, D-Dimer was positive in 11.6 % in contraceptive women, while there was no change in PT result in study group.
Agrobacterium tumefaciens-Mediated Genetic Transformation of Pinus kesiya Royle ex Gord (Khasi Pine)

This study highlights, for first time, an Agrobacterium-mediated gene transfer method for the genetic improvement of Pinus kesiya. The genetic transformation of P. kesiya has been limited by difficulty in selection efficiencies and a low transformation frequency. Embryogenic cultures were established from zygotic embryos according to our previous protocol (Malabadi et al. 2005). During transformation events, rapidly growing embryogenic tissue of three genotypes were co-cultivated with disarmed A. tumefaciens strain EHA105 fused with a binary vector pBI121, which contains the neomycin phosphotransferase II (nptII) gene providing kanamycin resistance as a selectable marker and the -glucuronidase (uidA) reporter gene, was used in the transformation studies. All the transgenic lines exhibited very low maturation potential compared to the control. GUS activity was used to monitor transient expression of the uidA gene and to further test lines selected on kanamycin-containing medium. The integration of one of the transgenes, nptII, was confirmed by PCR followed by Southern and Northern blot analyses. Agrobacterium-mediated gene transfer was found to be a very useful technique for large-scale generation of transgenic P. kesiya, and may prove useful for other recalcitrant conifer species. _____________________________________________________________________________________________________________
Factors effecting Employee Loyalty through Mediating role of Employee Engagement: Evidence from PROTON Automotive Industry, Malaysia

The core objective of the proposed study is to find the role of employee engagement to enhance the effect of spiritual intelligence, emotional intelligence and flexible working arrangements towards employee loyaltyin PROTON automotive industry Malaysia. The employees of generation Y have different characteristics and are not loyal to the organizations. Thus, there is increase in the employee turnover ratios which are costly for the organization. To address this issue, the proposed study established the cross-sectional research design and quantitative technique. Data were collected through email survey by using questionnaires. SmartPLS (structural equational modeling) was used to analyze the data. Study results found that spiritual intelligence, emotional intelligence and flexible working arrangements have positive relationship with the employee loyalty. Moreover, it is found that the employee engagement is a vital factor to enhance the employee loyalty through spiritual intelligence, emotional intelligence and flexible working arrangements. Hence, the proposed study has theoretically contributed that the employee engagement plays a mediating role. This study is most beneficial in PROTON context to enhance their employee loyalty and eventually retention through effective employee engagement strategies or practices.
ENHANCING STUDENTS’ SPEAKING PERFORMANCE: ROLE OF FEEDBACK AND BLENDED-LEARNING

This case study research aims to investigate the correlation between blended learning and feedback (online/face-to-face) on the speaking performance of students from Kolej Matrikulasi Selangor (KMS) who sat for the Malaysian University English Test (MUET) in 2017. More specifically, the study aims to introduce blended learning with a combination of feedback to improve students’ speaking performance while enhancing the effectiveness of teaching and learning as a whole. The comparison and analysis of the data involved three stages – pre speaking test, mock speaking test and the real speaking exam. All the marks from the stages were compared. From the analysis it showed that from pre-test marks to mock test marks, 17.7% respondents improved between 20 to 28% marks, 29.4% of the respondents had shown improvement of marks between 12 to19%, and 29.4% also improved between 8 to 11% marks. Whereas, changes from mock speaking stage to the real speaking exam indicated 6% of the respondents achieved 20% and above marks, 24% improved between 12 to 19% marks and another 24.9% respondents showed improvement between 8 to 11% marks. From the study it was also found that positive feedback together with the use of EdPuzzle application during the teaching sessions of speaking received positive outcomes from the students whereby they became more motivated consequently improved the marks for MUET speaking. Although for some respondents the changes might not be very significant, but the researchers could see positive improvement (through observation) especially in terms of confidence level of the respondents. We hope that the propositions of our recipe of blended learning could bring insights to educational practitioners in similar academic disciplines.