Miracle-dz/UniFAR-FTUs huggingface dataset:
The Analysis of Pragmatics Based Textbooks in Indonesia: Perceptions

The study conducted earlier by the researchers showed a huge gap was found between the kinds of textbooks needed and the existing textbooks used this whole time. It became the reason why this current study was aimed at investigating teachers’ and students’ perceptions of English textbooks with pragmatics perspective that can help English language learners achieve the expected communicative competence. Mixed methods research design was run to determine the objective of this study using 259 student respondents and 41 teacher respondents from 39 junior high schools throughout Semarang, Central Java, Indonesia. Observation, in-depth interviews, and questionnaires were used to obtain data. After that, the data were tested for the validity through Focus Group Discussions with experts and colleagues. The data generated in this study were in the form of quantitative (SPSS) and quantitative (descriptive). The study uncovered the need of new English textbooks which are comprised by what is so called pragmatic based textbooks. This urgency occurred since the existing English textbooks spreading on the market place still had not yet fulfilled the communicative competence that should be there, in the content of the textbooks. Hence, as the semester ends, students will be able to achieve this competence. These results might have implications for the development of curriculum, literacy culture, 4C, and HOTS in facing the need of the 21st century and industrial revolution 4.0.
Bacteriological quality of street vended ready–to-eat foods in Ago-Iwoye, Nigeria: A study of University environment

Investigation was carried out into the bacteriological quality of street vended ready- to-eat foods sold around Olabisi Onabanjo University, Ago-Iwoye. Ten different foods consisting of 9 fully processed and 1 no heat processed foods were analyzed for the presence of bacteria. The food samples were collected from food vendors at car parks and canteens around the University campus and were determined by serial dilution using the spread plate method on Plate Count agar (PCA), Nutrient Agar and Mannitol Egg Yolk Polymyxin Agar (MYP). The mean count for all food examined exceeded the maximum acceptable limit of 10 5 cfu/g set by the Food and Agricultural Organization (FAO) of the United Nation. The food with the highest mean microbial count of 5.5x10 6 was fufu while the least count of 2.7x10 6 was recorded for semovita. Bacteria isolated with the highest incidence was Bacillus cereus (21%), followed by Staphylococcus aureus (18.9%), Klebsiella sp. (18.2%), Micrococcus spp. (16.8%), Escherichia coli (11.9%), Bacillus subtilis (6.3%), Enterobacter spp (4.2%), Lactobacillus spp (1.4%), while Salmonella and Pseudomonas aeruginosa the lowest incidence of 0.7% each. All these bacteria are known agent of food borne diseases. Mishandling and disregard of hygienic measures (personal and environmental hygiene) on the part of the food vendors and lack of portable water at preparation venues contributed to the contamination rates of microorganisms observed in this study. The food vendors should be subjected to various seminars on food safety and quality control.
CINE-POLITICS : ON THE POLITICAL SIGNIFICANCE OF CINEMA IN SOUTH INDIA

There are hardly any parallels elsewhere in the world for the way in which relations between the institutions of cinema and politics have evolved in post-independence India. In two of the four south Indian states, film stars have launched their own political parties and achieved spectacular electoral victories. Even after their demise, the parties they founded have retained a mass base and are in a position of strength vis-a-vis the national parties and other local rivals. In a third state, Karnataka, a star with an equally formidable following, appeared for some time to be on the threshold of a political career but decided against it. And even in Kerala, Frem Nazir had briefly toyed with the possibility of a political career. In the Hindi cinema, with its much wider and more diffuse audience base, we have the case of Amitabh Bachchan, who won an election against no less a political personage than the socialist H. N. Bahuguna. A number of other lesser actors have had minor political careers in many parts of the country.
Economic Modelling The distributive e ﬀ ect of monetary policy: The top one percent makes the di ﬀ erence

The paper evaluates the distributional e ﬀ ect of monetary policy. The empirical analysis is implemented for the USA, where the dynamics in income inequality is mainly driven by the variation in the top one percent of the income distribution. The paper uses the inequality measures that represent the whole income distribution. The distributive e ﬀ ect of monetary policy is evaluated in the cases of di ﬀ erent frequency data. To identify a monetary policy shock, the paper applies the contemporaneous and the long run identi ﬁ cation methods. In particular, a cointegration relation is determined among the considered variables and the vector error correction methodology is used for the identi ﬁ cation. The obtained results indicate that contractionary monetary policy decreases income inequality. These results can have important implications for the design of policies to reduce income inequality by giving more weight to monetary policy.
ELEMENTAL ABUNDANCES IN THE POSSIBLE TYPE Ia SUPERNOVA REMNANT G344.7–0.1

Recent studies on the Galactic supernova remnant (SNR) G344.7–0.1 have commonly claimed its origin to be a core-collapse supernova (SN) explosion, based on its highly asymmetric morphology and/or proximity to a star-forming region. In this paper, however, we present an X-ray spectroscopic study of this SNR using Suzaku, which is supportive of a Type Ia origin. Strong K-shell emission from lowly ionized Fe has clearly been detected, and its origin is determined, for the first time, to be the Fe-rich SN ejecta. The abundance pattern is highly consistent with that expected for a somewhat-evolved Type Ia SNR. It is suggested, therefore, that the X-ray point-like source CXOU J170357.8–414302 located at the SNR's geometrical center is not associated with the SNR but is likely to be a foreground object. Our result further indicates that G344.7–0.1 is the first possible Type Ia SNR categorized as a member of the so-called mixed-morphology class. In addition, we have detected emission from He-like Al at ∼1.6 keV, the first clear detection of this element in the spectrum of an extended X-ray source. The possible enhancement of the Al/Mg abundance ratio from the solar value suggests that the ambient interstellar medium has a relatively high metallicity (not less than 10% of the solar value). We also report the marginal detection of Cr and Mn, although the measured fluxes of these lines have large statistical and systematic uncertainties.
EEG classification algorithm of motor imagery based on CNN-Transformer fusion network

In recent years, with the development of social economy and technology, the brain-computer interface based on motor imagery(MI-BCI) has gradually become the focus content of many re-searchers. However, the motor imagery EEG signal (MI-EEG) itself has the characteristics of non-linearity and low signal-to-noise ratio, and because the characteristics of different domains of MI-EEG cannot be effectively combined, the recognition rate of MI-EEG is unsatisfactory. To overcome the above problems, this paper proposes a Transformer-based one-dimensional convolutional neural network model(CNN-Transformer) for the classification and recognition of four types of motor imagery EEG signals. Firstly, the artifacts of the original EEG are removed and new time-space-frequency features are constructed by preprocessing such as bandpass filtering and PCA dimensionality; then, the local features in the temporal dimension are extracted through the convolution and pooling operations of 1D-CNN, while reducing the dimension of the time feature; next, the Transformer based on the attention mechanism is used to extract more abstract and high-level temporal features from multiple perspectives; finally, the classification results are integrated and output through the fully connected layer. The performance of the CNN-Transformer model is evaluated using the competition dataset 2008 BCI-Competition 2A. The results show that the average accuracy and kappa value of the CNN-Transformer model are as high as 99.29%(±0.07%) and 98.43%(±0.21), respectively, which are 3.72% and 7.68% higher than the classical architecture (CNN-LSTM). This model provides a design idea for improving the accuracy of MI-EEG classification and recognition, and also lays a foundation for the wide application of MI-BCI.
Lessons Learned in Five Years of Conducting Security Studies With Software Developers

End-user-based research was conducted for over 20 years aiming at supporting end-users with software security issues. Thus ample knowledge exists on how to conduct security studies with end-users. However, critical security incidents in the last decade showed that, like end-users, software developers are usually not security experts and need support with security-critical tasks as well. While this motivated researchers to conduct more security studies with software developers, it also highlighted a lack of methodological knowledge considering security studies with software developers. We derived six recommendations concerning security developer studies’ ecological validity and recruitment challenges based on our lessons learned from the last five years of research with software developers.
Assessment of soil fertility using the soil fertility index method on several land uses in Tutur District, Regency of East Java

Changes in land use have an impact on the level of soil fertility. Soil management, such as land cover systems and the environment, are supporting factors. Assessment of soil fertility index using indicators of soil chemical properties such as organic C, availability of nutrients nitrogen (N), phosphorus (P), cation exchange capacity (CEC), and exchangeable cations (K, Ca, Mg, Na). The research was conducted in Tutur District, Pasuruan Regency, with a survey of 5 land uses, i.e., mixed crops, coffee plantations, apple plantations, vegetable fields, secondary forests, and conservation forests. Observations were made on elevation, slope, and vegetation. Parameters of physical properties measured were soil texture and aggregate stability. Observations of chemical properties included organic C, N, P, CEC, exchangeable cation (K, Ca, Mg, Na), and soil pH. Soil Fertility Index (SFI) data were analyzed using the Least Significant Difference method at a 5% level. The results showed the diversity of soil fertility levels obtained from the calculation of the soil fertility index. The soil fertility index value in 5 land uses in Tutur District ranged from 0.67 to 1.00. Coffee plantations had the highest SFI score of 1.00; this condition was supported by an organic C indicator of 6.21% and a CEC value of 39.12 cmol kg -1 . Conservation forest is the land use with the lowest SFI value of 0.67. The value of CEC and cation exchange in conservation forests are factors that impact the low value of SFI.
Greenness Assessment of Chromatographic Methods Used for Analysis of Empagliflozin: A Comparative Study

The analytical chemistry community is attempting to incorporate green chemistry concepts in the development of analytical techniques to redefine analytical methods and dramatically modify the philosophy of analytical technique development. Each greenness assessment method has its own benefits and drawbacks, as well as its own procedures. The results of each greenness assessment method produce numerous deductions regarding the selection of a greenest chromatographic method on which the determination of a greenness assessment tool depends. The current study examined the greenness behavior of 26 reported chromatographic methods in the literature for the evaluation of the medicine empagliflozin using three evaluation methods: the national environmental methods index (NEMI), the eco-scale assessment (ESA), and the green analytical procedure index (GAPI). This comparative study discussed the value of using more than one greenness evaluation methods while evaluating. The findings showed that the NEMI was a less informative and misleading tool. However, the ESA provided reliable numerical assessments out of 100. Despite the GAPI being a complex assessment compared to the others, it provided a fully descriptive three-colored pictogram and a precise assessment. The findings recommended applying more than one greenness assessment tool to evaluate the greenness of methods prior to planning laboratory-based analytical methods to ensure an environment friendly process.
Autism Spectrum Disorder in Physical Education in Primary School: a Systematic Review

Autism spectrum disorder (ASD) is diagnosed daily in children all over the world. Although the effects of physical exercise in this population have been extensively studied, there is still little research analysing the benefits of physical activity as part of Physical Education in schools. Therefore, this article aims to analyse the effects of physical exercise carried out in the area of Physical Education as a curricular subject on primary school pupils diagnosed with ASD, as well as the methodological strategies applied by teachers in this area. For this purpose, a systematic review was carried out in accordance with PRISMA standards, by searching for scientific articles in the databases: Web of Science, Scopus, PubMed and SportDiscus. After applying the established inclusion and exclusion criteria, a total of 11 articles were selected, in which the following variables were analysed: participation, stereotyped behaviour, general behaviour and emotional control, social and communication skills, and motor skills. The results obtained suggest the application of cooperative learning strategies to improve their participation; the introduction of psychomotor activities and team games to reduce stereotyped behaviour, improve conduct and emotional control, and foster social and communicative skills; and the inclusion of tasks and games aimed at developing basic motor skills and coordination abilities to improve motor skills.
Perception Analysis for Business Prospects of Childcare Centre

The massive influx of women of Bangladesh in the labour force keeps the parents away from their children, hampering child development. So, there might have a latent demand for an alternative to parental childcare. But it depends on the working parents' perception of child development and childcare centre. There is a lack of sound studies on working parents' perception of child development and a childcare centre in Bangladesh. So, this study aimed at perception analysis for business prospects for a childcare centre. A sample of 100 respondents from Jashore University of Science and Technology was randomly selected for a questionnaire survey. Frequency distribution, chi-square test and binary logistic regression analysis were used as statistical tools. It was revealed that almost all the respondents agreed on P 1 , P 2 , P 3 and P 4 . Those who agreed with P 1 were likely to agree with P 4 13.17 times more than those who did not agree with P 1 . Those who agreed with P 2 were likely to agree with P 4 17.21 times more than those who did not agree with P 2 . As an entirely new study, the findings may stimulate people to run startups in childcare centres, contributing to the national economy dwindling the unemployment rate.
Measurement of the Goos–Hänchen shift in a microwave cavity

We present our measurements of the Goos–Hänchen shift (GHS) in a two-dimensional dielectric microwave cavity. Microwave beams are generated by a suitable superposition of the spherical waves generated by an array of antennas; the resulting beams are then reflected at a planar interface. By measuring the electric field including its phase, Poynting vectors of the incoming and reflected beams can be extracted, which in turn are used to find the incoming angle and the positions where the beam hits the interface and where it is reflected. These positions directly yield the GHS. The results are compared to the classical Artmann result and a numerical calculation using Gaussian beams.
Prognostic impact of copy number alterations in pediatric B-cell precursor acute lymphoblastic leukemia: A collaborative data from two major oncology centers of North India

In current study, copy number alteration (CNA) status and CNA risk profiles of IKZF1 plus , UK-ALL CNA risk groups and MRplus score, were evaluated for clinical and prognostic impact in a cohort of 493 B-ALL cases diagnosed and treated under ICICLE trial at two major oncology centres of Northern India. Overall CNA frequency was 59% with 60% of cases showing 2-loci deletion. CDKN2A/B deletion was the most common CNA (36.3%), while IKZF1 deletion and IKZF1 plus groups with CNA-IR+PR profile compared to CNA-GR profile (81.3%,65.0% and 21.0% ; p -<0.001). Hence, routine CNA testing in our setting is must to identify SR and IR cases likely to benefit from high risk treatment.
FAKE-NEWS DETECTION SYSTEM USING MACHINE-LEARNING ALGORITHMS FOR ARABIC-LANGUAGE CONTENT

Over the past decade, social media has become a dominant source of news and information. This has led to an increase in the number of groups and individuals spreading news through social media with no direct quality control or censorship of the content being distributed. A fake breaking-news headline can spread rapidly to millions of people and cause tremendous local and global problems. Because checking all information posted on social media is almost impossible, researchers are now concentrating on combating fake news on the Internet and social media to mitigate the enormous damage the spread of such news can cause to individuals, communities, and nations. To detect whether news is fake and stop it before it can spread, a reliable, rapid, and automated system using artificial intelligence should be applied. Hence, in this study, an Arabic fake-news detection system that uses machine-learning algorithms is proposed. An in-house Arabic dataset containing 206,080 tweets was collected using an API search on Twitter. The algorithm uses term frequency-inverse document frequency to extract features from the dataset and analysis of variance to select subsets from them. Nine machine-learning classifiers were used to train the model (naïve Bayes, K-nearest-neighbours, support vector machine, random forest (RF), J48, logistic regression, random committee (RC), J-Rip, and simple logistics). The experimental results indicated that the highest accuracy (97.3%) was obtained using the random forest and random committee, with training times of 4403s and 0.367s, respectively.
Dynamical decoupling of a qubit with always-on control fields

We consider dynamical decoupling schemes in which the qubit is continuously manipulated by a control field at all times. Building on the theory of the Uhrig dynamical decoupling (UDD) sequence and its connections to Chebyshev polynomials, we derive a method of always-on control by expressing the UDD control field as a Fourier series. We then truncate this series and numerically optimize the series coefficients for decoupling, constructing the Chebyshev and Fourier expansion sequence. This approach generates a bounded, continuous control field. We simulate the decoupling effectiveness of our sequence versus a continuous version of UDD for a qubit coupled to fully-quantum and semi-classical dephasing baths and find comparable performance. We derive filter functions for continuous-control decoupling sequences, and we assess how robust such sequences are to noise on control fields. The methods we employ provide a variety of tools to analyze continuous-control dynamical decoupling sequences.
Comparison of the Efficacy of Disinfectant Pre-impregnated Wipes for Decontaminating Stainless Steel Carriers Experimentally Inoculated With Ebola Virus and Vesicular Stomatitis Virus

The authors evaluated four disinfectant pre-impregnated wipes (DPW) for efficacy against Ebola virus Makona variant (EBOV) and vesicular stomatitis virus (VSV), Indiana serotype. Steel carriers were inoculated with the infectious virus and then were wiped with DPW in the Wiperator instrument per ASTM E2967-15. Following the use of J-Cloth impregnated with medium (negative control wipes) or the use of activated hydrogen peroxide (AHP)-, ethanol-, sodium hypochlorite (NaOCl)-, or single or dual quaternary ammonium compound (QAC)-based DPW, virus recovery from the carriers was assayed by titration assay and by two passages on Vero E6 cells in 6-well plates. The Wiperator also enabled the measurement of potential transfer of the virus from the inoculated carrier to a secondary carrier by the DPW or control wipes. The J-Cloth wipes wetted with medium alone (no microbicidal active) removed 1.9–3.5 log10 of virus from inoculated carriers but transferred ~4 log10 of the wiped virus to secondary carriers. DPW containing AHP, ethanol, NaOCl, or single or dual QAC as active microbicidal ingredients removed/inactivated ~6 log10 of the virus, with minimal EBOV or no VSV virus transfer to a secondary surface observed. In Ebola virus outbreaks, a DPW with demonstrated virucidal efficacy, used as directed, may help to mitigate the unintended spread of the infectious virus while performing surface cleaning.
Evidence Based Library and Information Practice The Effects of Counterproductive Workplace Behaviors on Academic LIS Professionals’ Health and Well-Being

Objective – This study seeks to investigate the degree of counterproductive workplace behaviors (CWB) experienced by library and information science (LIS) professionals and how these behaviors contribute to physical, mental, and chronic health outcomes. While health outcomes may be present independent of CWB, this study seeks to explore the relationship between the two to provide context to the growing incidence of burnout among academic LIS professionals. Methods – This quantitative study analyzed 327 responses to a survey about colleague behavior and health sent to LIS professionals Abstract Objective – This study seeks to investigate the degree of counterproductive workplace behaviors (CWB) experienced by library and information science (LIS) professionals and how these behaviors contribute to physical, mental, and chronic health outcomes. While health outcomes may be present independent of CWB, this study seeks to explore the relationship between the two to provide context to the growing incidence of burnout among academic LIS professionals. Methods – This quantitative study analyzed 327 responses to a survey about colleague behavior and health sent to LIS professionals through library community electronic mailing lists. The survey contained demographic questions, questions about CWB, questions about health
Grounded Model in Accessible Tourism Case Study: Kuala Metropolitan City

This study investigated the accessible tourism in Kuala Lumpur, which specifically focuses on people with disabled. Face-to-face interview with local authority and non-governmental organizations were conducted to gather information of tourism industry, which concentrated on facilities and services provided. Through domain analysis, accessible tourism model is emerged from the data. The model is further validated with quantitative survey study involving 94 participants with disabled in visual impairment and physical challenged. The finding established a grounded model for accessible tourism in the Kuala Lumpur city.