Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying rule-based classification techniques to medical databases: an empirical study

In the process of analysing and interpreting medical data, various classification techniques have been widely applied with a lot of success. A number of classification algorithms are available for this purpose and many researchers face the problem of choosing the best method for a particular dataset. In this paper, we apply five well-known, rule-based classification techniques on different medical datasets and compare their relative merits and demerits. Subsequently, we interpret their applicability in classifying patients into groups.
Technology acceptance model and social network sites (SNS): a selected review of literature

Purpose The purpose of this paper is to conduct a systematic review of studies that have used the technology acceptance model (TAM) in the context of social network sites (SNS). It describes various studies undertaken to examine user behaviours and attitudes towards SNS. Design/methodology/approach This paper comprehensively reviews the selected literature associated with applications of TAM in the SNS context. Different studies conducted within the SNS context were evaluated for understanding the changes incorporated into the model. Findings The findings illustrated that the TAM has been successfully applied via its extension and modification for explaining user adoption and acceptance of SNS. Originality/value The study contributes to the theoretical novelty of the body of the existing literature in the domains of TAM and SNS. The study also provides insight on future research directions by helping in identifying gaps in literature in this field.
Tables of spectra of hydrogen, carbon, nitrogen, and oxygen atoms and ions

Tables of Spectra of Hydrogen, Carbon, Nitrogen, and Oxygen Atoms and Ions completely updates Charlotte E. Moore's energy levels and multiplet tables derived from analyses of optical spectra of hydrogen, carbon, nitrogen, and oxygen. The book contains data for neutrals and for all stages of ionization. Configurations, term designations, J-values, energy levels, and ionization potentials are provided as well. The book will benefit astronomers, atomic and optical physicists, plasma physicists, and chemists.
Pengembangan Media Pembelajaran Multimedia Interaktif Berbasis Flash untuk Meningkatkan Hasil Belajar Mahasiswa

Article history: Received: 5 February 2018; Accepted: 22 February 2018; Published: 1 March 2018. This type of research is the development of research. Development using a modification model Borg and Gall (2003), the data collection techniques through technical documentation and questionnaires. Data analysis techniques were the data results of the review and testing of the products as the basis for improvement of media. Than, questionnaire respondents assessment of the effectiveness of media related learning on student results. From the overall stages of the study showed that there are significant differences in student learning outcomes by using powerpoint compared with the results of classical learning of students by using interactive media flash
SemEval-2016 Task 4: Sentiment Analysis in Twitter

This paper discusses the fourth year of the ”Sentiment Analysis in Twitter Task”. SemEval-2016 Task 4 comprises five subtasks, three of which represent a significant departure from previous editions. The first two subtasks are reruns from prior years and ask to predict the overall sentiment, and the sentiment towards a topic in a tweet. The three new subtasks focus on two variants of the basic “sentiment classification in Twitter” task. The first variant adopts a five-point scale, which confers an ordinal character to the classification task. The second variant focuses on the correct estimation of the prevalence of each class of interest, a task which has been called quantification in the supervised learning literature. The task continues to be very popular, attracting a total of 43 teams.
Dielectric Properties of Perovskite-Type Artificial Superlattices

BaTiO 3 /SrTiO 3 , SrZrO 3 /SrTiO 3 and BaTiO 3 /BaZrO 3 artificial superlattices were fabricated by a molecular beam epitaxy process. X-ray diffraction (XRD) reciprocal space maps were performed using high-resolution XRD. All artificial superlattices with the periodicity above 10 unit cells of primitive perovskite lattice showed clear satellite peaks in the XRD pattern and were distorted in the direction of film thickness. The refractive index of the superlattices measured with a spectroscopic ellipsometer showed a maximum at the 10-periodic structure. The BaTiO 3 /SrTiO 3 Superlattices with the 10-periodic structure showed a high dielectric permittivity of ϵ r = 33,000 and the SrZrO 3 /SrTiO 3 superlattices showed artificially induced ferroelectricity. It was clarified that the anisotropic lattice distortion introduced by the strains due to the lattice mismatch was the origin of the unique dielectric characteristics of artificial superlattices.
The Effects of Speech Production and Speech Comprehension on Simulated Driving Performance

The authors performed two experiments comparing the effects of speech production and speech comprehension on simulated driving performance. In both experiments, participants completed a speech task and a simulated driving task under single- and dual-task conditions, with language materials matched for linguistic complexity. In Experiment 1, concurrent production and comprehension resulted in more variable velocity compared to driving alone. Experiment 2 replicated these effects in a more difficult simulated driving environment, with participants showing larger and more variable headway times when speaking or listening while driving than when just driving. In both experiments, concurrent production yielded better control of lane position relative to single-task performance; concurrent comprehension had little impact on control of lane position. On all other measures, production and comprehension had very similar effects on driving. The results show, in line with previous work, that there are detrimental consequences for driving of concurrent language use. The authors' findings imply that these detrimental consequences may be roughly the same whether drivers are producing speech or comprehending it.
Mathematics self-efficacy beliefs and sources of self-efficacy: A Descriptive Study with two Elementary School Students

The purpose of this study is to examine the relationship between mathematics self-efficacy beliefs and sources of self-efficacy in two elementary school students whose mathematics achievement are at different levels. Case study design, which is one of the qualitative research designs, was used in the study. Two 4th grade elementary school students have participated in the study, one with high mathematics achievement and the other with low mathematics achievement. Participants have been selected according to purposive sampling method. Mathematics achievement of the students have been determined through their mathematics scores and the information obtained from their teachers. Data was collected through semi-structured interviews conducted with the students. Descriptive analysis was used in the analysis of the data. As a result of the research it was found that students’ mathematics achievement is parallel to their mathematics self-efficacy beliefs. It was found that the student, whose mathematics achievement is high, has positive experiences concerning the sources of self-efficacy, whereas the student, whose mathematics achievement is low, mostly encounters negative experiences.
Global Banks and Syndicated Loan Spreads: Evidence from U.S. Banks

This paper explores the relationship between bank global exposure and their syndicated loan spreads. Linking syndicated loan information from Dealscan with confidential US bank foreign exposure data and borrower characteristics, we find that more bank global exposure is associated with a higher loan spread that is statistically significant. To analyze this relationship between global banks and loan spreads, we develop a theoretical framework where, in equilibrium, riskier borrowers are more likely to work with global banks. Using a Heckman selection model, we confirm that borrower risk characteristics indeed predict a higher likelihood of having a loan arranged by a global bank. However, after controlling for the bank-borrower selection effect, we continue to find that global banks charge on average an 12.7 bps higher spread on their syndicated loans, as compared with domestically focused banks. Finally, we explore a non-risk based alternative where firms with multinational operations are more likely to work with global banks for international banking services.
Efficient Movement and Task Management in MapReduce for Fast Analytics of Big Data

MapReduce programming model has achieved great success over the past decade. With its recognized merits such as superior scalability and strong fault tolerance, MapReduce has thrived as a primary processing engine adopted by leading enterprises for analyzing gigantic datasets and driving cloud services. Recently, in order for companies to pursue high quality-of-service and fulfill requests from many customers, the demand for enhancing MapReduce frameworks so that they can leverage the best performance from underlying systems and support multi-tenancy is growing. However, many challenges exist in optimizing contemporary MapReduce frameworks to deliver fast job completion, fairness among many users, high cluster utilization, as well as platform-aware adaptability. This dissertation focuses on pushing forward the evolution of contemporary MapReduce frameworks. We have comprehensively analyzed several major MapReduce systems on different platforms, identified their limitations, and explored various optimization techniques to enhance their performance. In particular, this dissertation aims to address three major challenges that prevent MapReduce frameworks from achieving the optimal performance. These three challenges include (1) exploiting the design of a high-performance I/O services for accelerating the intermediate data movement for MapReduce frameworks; (2) enhancing task management to provision ideal quality-of-service in terms of efficiency and fairness in multi-tenant MapReduce clusters; (3) improving the adaptability of MapReduce frameworks for platforms featuring high performance characteristics. To address these challenges, in this dissertation, we have introduced a novel Network Levitated Merge algorithm, along with a Hadoop Acceleration framework for MapReduce to provide a high-performance I/O layer. Built on top of these techniques, MapReduce can efficiently move a deluge amount of intermediate data among a large number of nodes and yield effective
AP: A Critical Examination of the Advanced Placement Program.

"AP" draws together the most recent and rigorous research on the strengths and weaknesses of the Advanced Placement program. With an annual yearly growth rate of 9.3 percent over the last two decades, Advanced Placement courses have become a juggernaut in American high school education. AP courses are routinely perceived as an indicator of educational rigor, and many schools push to enroll low-income or minority students in these courses in the hope of preparing them for success in college-level courses. This rapid expansion of AP courses raises important questions. What are the advantages and disadvantages of courses geared toward the AP exams? How well do AP courses prepare students for college-level work or predict students success in college? Should colleges award credit for AP courses? Is the AP program a cost-effective tool for closing the gap between students in privileged and struggling communities? This book examines closely the differences between AP and other high school courses, as well as variations among AP courses. In-depth studies gauge the impact of AP coursework on student performance in college. Finally, researchers examine the use of AP information in college admissions. Taken together, these studies present a comprehensive picture of the history, impact, and future of the Advanced Placement program. "
Employee Compensation Still Impacts Payout Policy

Employee compensation may impact payout policy by (i) incentivizing managers with non-dividend-protected options to favor repurchases over dividends and (ii) diluting earnings, which firms can neutralize through share repurchases. Both the dividend-protection and dilution channels imply a positive relation between stock options and repurchases. Yet, recent studies and trends suggest repurchases do not decline when option usage falls around mandatory option expensing, casting doubt upon a causal relation between equity compensation and payout. We examine this relation in light of the shift from options to restricted stock. Our results strongly support a positive relation between compensation and share repurchases via the dilution channel; dividend protection has no first-order effect on payout. Difference-in-differences analyses using a shock to compensation around mandatory option expensing and an instrumental variable approach suggest that the relation between dilution and payout is likely causal. Further, as the dilution channel predicts, equity compensation positively relates to repurchase frequency and timing.
Dividend Sentiment, Catering Incentives, and Return Predictability

This paper uses a direct measure of investors’ time-varying preference for dividends to test the dividend catering hypothesis proposed in Baker and Wurgler (2004a, 2004b). Specifically, we use Internet search volume for dividend-related keywords as a direct measure of investor preference for dividends (i.e., dividend sentiment). We validate this measure by showing that mutual funds that pay high dividends receive more inflows when the dividend sentiment is stronger. Further, we find that firms initiate or increase dividends when the dividend sentiment is stronger. These effects are concentrated among firms located in states with high dividend sentiment. Differences in risk or other firm characteristics do not explain our findings. Collectively, these results provide support for the catering theory and show that managers cater to investors’ time-varying demand for dividends.
Öğretmen Adaylarının Psikolojik İyi Oluş Düzeylerinde Bilinçli Farkındalık ve Affetmenin Yordayıcı Rolleri

Bu arastirmanin amaci, bilincli farkindalik ve affetme degiskenlerinin ogretmen adaylarinin psikolojik iyi olus duzeyini ne derecede yordadiklarinin incelenmesidir. Arastirmanin orneklemi, 235’i kadin ve 128’i erkek olmak uzere toplam 363 ogretmen adayindan olusmaktadir. Arastirmada veri toplama araclari olarak Psikolojik Iyi Olus Olcegi , Bilincli Farkindalik Olcegi , Heartland Affetme Olcegi ve Kisisel Bilgi Formu kullanilmistir. Verilerin istatistiksel analizinde Pearson Momentler Carpim Korelasyonu Analizi ve Coklu Dogrusal Regresyon Analizi kullanilmistir. Arastirma sonucunda yordayici gucleri bakimindan sirasiyla bilincli farkindalik ve affetme degiskenlerinin ogretmen adaylarinin iyi olus duzeylerini anlamli sekilde yordadiklari ortaya cikmistir. Soz konusu bu degiskenlerin ortak etkilerinin psikolojik iyi olus duzeylerine iliskin varyansin % 43’unu acikladigi tespit edilmistir. Son olarak da arastirmadan elde edilen bulgular isiginda ileride yapilacak arastirmalar icin oneriler sunulmustur.
Scrutinizing the Effect of some Physiological and Histopathological Factors on Kids Mortality of Shami and Baldi Goat during Neonatal Period

The foremost important aim of the present study was to scrutinize some physiological factors and histopathological conditions in lungs of Baladi and Shami goats kids and its effects on mortality rate during neonatal period. The current study was launched at Ras Sudr Research Station, located at South Sinai, belonging to Desert Researcher Center. Cairo, Egypt. Twenty five adult does of each breed (average 18 months old) were used in breeding season. All does were estrus synchronized and naturally mated. The obtained kids were kept with their mother during the entire experimental period (one month from February to March 2017) and fed only with colostrum and maternal milk. Kids' live body weight changes, colostrum composition and its immunoglobulin M (IgM) content, daily milk yield and composition, total serum protein and its fractions in both dams and their offspring’s were estimated. Dead kids were dissected immediately and lungs were collected for histopathological examinations.The overall mortality rate was significantly affected by the breed and recorded 23.07 % and 56.45% in Baladi and Shami kids respectively. Mortality rate was significantly higher in male than female kids. The level of IgM was higher (P<0.01) in colostrum of Baladi than in Shami does. However, Shami does gave higher (P<0.001) milk yield. Goat breed had no significant effect on percentage of milk content of protein, ash, solid not fat (SNF) or total solids (pg/ml), while milk fat (%) and lactose (%) were higher (P<0.001) in Baladi goats milk. Blood serum of Baladi does showed higher values of total protein, albumin, alpha-2 globulins, gamma globulins and A/G ratio, but lower values of alpha-1 and beta globulins in comparison with that of Shami does. For kids, serum total protein, albumin, alpha-1 globulins, beta globulins and A/G ratio were higher (P<0.001), while alpha-2 globulins and gamma globulins were lower (P<0.01) in Shami than Baladi kids. In both breeds, all these parameters increased (P<0.01) after 21 days of parturition with the exception of gamma-globulins which decreased significantly during neonatal period.The lung lesions were grossly recorded 85.71% in dead kids. Histopathologically, broncho-pneumonia, bronchoectasia, emphysema of lung and pneumonia were recorded.It could be concluded that exposure of neonates to cold stress (hypothermia) that was prevailing during experimental period induced a significant increase in the incidence of pneumonia which greatly resulted in kid’s mortality. The higher mortality rate of Shami kids might be related to the lower IgM level in colostrum of their dams.
Touch-Point Mathematics Instruction for Children with Autism Spectrum Disorder: A Systematic Literature Review

Children with Autism Spectrum Disorder (ASD) often face some problems in mastering basic numeracy skills. A touch point is a multisensory method that has been introduced especially for children with ASD as it is one of a proven way of improving their achievement in mathematics. Thus, this systematic literature review is conducted (a) to identify the characteristics of participants and suitability of touch points interventions based on the characteristics of children with ASD and (b) to evaluate the effectiveness of touch point interventions in improving the achievement of children with ASD. Overall, the empirical studies indicated that the touch point mathematics instruction commonly used in teaching primary school students on basic mathematical knowledge such as numbers and arithmetical operation skills. Hence, the touch point was effective in helping teachers to help children with ASD in learning basic mathematics. Implications are discussed.
Model of Range CBR Distance Experienced by Transmissions in MANETs using Location Aware Transmission for Ubicomp

– Management of energy consumption of nodes in ubicomp can be assisted by location-aware transmission strategies in MANETs [64]. It is hence understandable that several development in this field will follow in the future. Among the developments projected, some refined location-aware transmission protocols may be expected. Such transmission protocols will consider several criteria to achieve successful optimal transmission, one of which is distance coverage required and selection of that protocol which best suit that distance coverage. For advanced ubicomp environment refinements of transmission protocols is projected to be granulated at 10 m accuracy as available in Bluetooth. Hence, even for a ubicomp topography of 300 x 300 m 2 , many different protocols adopted for different distance coverages will be available. To enable appropriate tuning of transmission in such a situation, it is desirable to know what the range of distance coverage that is being required for the CBR is and proactively activate the appropriate protocols. Such kinds of information will be based on known trends of occurrences of ranges for CBR in such topographies. Three previous studies [26-28] had been carried out over which results for this study is built over. This paper adds a fourth component derived from PPD [26] to the area of modelling for managing distance packets travel in ubicomp topography of varying node densities. Designers may use these results towards designing more successful proactive activations of appropriate transmission protocols in ubicomp. This research is a follow-up of several previous papers [1-28].
Educational Attainment, Teaching Experience, Professional Development and Self-Efficacy as Predictors of Chemistry Content Knowledge: Implication for the Development of a National Promotion Examination

This study examined teachers’ content knowledge (CK) in chemistry and its relationship to teachers’ chemistry background, teaching experience, involvement in professional development and self-efficacy It was further investigated which variables predicted the level of content knowledge (CK) of one hundred public secondary chemistry teachers. The data shows that the majority of science teachers have low level of CK in Chemistry. Teaching experience, professional development, chemistry background, and self-efficacy were significantly related to the CK of teachers. Teachers' professional development and self-efficacy predicted the CK of teachers.