Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Computerized Glossary Instructional Program on Deaf Students' Learning English Language Vocabulary and Their Retention in Jordan

In Jordan, deaf learners suffer from great weakness in English language; this is attributed to using the traditional method for implementing modern or more active methods. Therefore, this study aimed at looking into the effect of a computerized glossary instructional program on deaf students to learn English language vocabulary skills and their retention in Jordan. The two questions of the study were: Are there any statistically significant differences at (α=0.05) in student ’s vocabulary skills that are attributed to the teaching strategy? Are there statistically differences in deaf students’ retention of the new vocabulary items attributed to the teaching strategy? The design of the research is quasi-experimental with an experimental group and a control group. Pre-post test was used to collect the data. The delayed is used to measure students' retention. The participants of the study were male and female students from Al Amal School for deaf students in Irbid city. They were randomly divided into a control group (21 students) and an experimental group (22 students). The results of the study showed that the computerized glossary had a significant effect on deaf students' vocabulary skills as well their retention. Thus, the deaf students had the ability to remember the computerized glossary through spelling the new words, reading them, and remembering their meanings in Arabic through using the sign language. In light of the results, it is recommended to integrate the computerized glossary to deaf students in the Jordanian EFL curriculum for teaching English language and vocabulary skills.
Teacher’s intention to use online learning; an extended technology acceptance model (TAM) investigation

Pandemic covid-19 requires teachers everywhere to take advantage of online learning. This study aims to investigate the factors that affect the teacher’s intention to use online learning based on the extended Technology Acceptance Model (TAM) approach. The extended TAM developed from the previous research. The population of this study were the teachers at Al Asror Islamic Boarding School. The data was obtained by using a questionnaire. The analytical method used was multiple regression analysis. The result showed that only perceived usefulness and teacher’s readiness had positive and significant impact on teachers’ intention to use online learning. There was negative and significant influence of perceive of ease of use on teachers’ intention to use online learning. Prior experience and computer knowledge didn’t have significant impact. The results also showed that prior experience and computer knowledge had a significant and positive effect on perceived ease of use and perceived usefulness. Teacher’s readiness was the most dominant factor among other variables.
Students’ acceptance of mobile-based assessment

The effective development of a Mobile-Based Assessment (MBA) depends on students’ acceptance. The aim of this paper was to examine the determinant factor of students’ behavioral intention to use mobile-based assessment. Data were collected from 105 second grade students of a vocational high school through an online survey questionnaire. Partial Least Squares (PLS) was used to test the measurement and the structural model. Results showed Perceived Ease of Use as the strongest direct predictor of Behavioral Intention to Use, followed by Perceived Usefulness. Content and Mobile Self-Efficacy only has an indirect effect. These four variables explain 51.3 percent of the variance of Behavioral Intention to Use.
Impact of Electronic Radiation on the Morphology of the Fine Structure of the Surface Layer of R6M5 Steel

In recent decades, great efforts have been made to significantly improve the performance characteristics of high-speed steel using various surface hardening techniques. Electron beam modification is engaging because it has an exceptionally high thermal efficiency and can significantly improve steels’ physical and mechanical properties. This work is devoted to researching the fine structure and changing the structural phase state of the surface layer of R6M5 high-speed steel after exposure to an electron beam. Electron beam treatment of steel R6M5 was carried out on a vacuum installation. The structure and phase composition of P6M5 steel samples were studied by transmission electron microscopy. Determined that after electron irradiation, the steel structure as in the initial state consists of martensite, carbides and residual austenite. After electron irradiation, an increase in the volume fraction of lamellar martensite is observed: the fraction of lamellar martensite in the initial state is 80%, and after irradiation, it is ~90% of the total fraction of α′-martensite. The action of the electron beam led to an increase in internal stresses in α′-martensite. Revealed, the value of the scalar dislocation density in R6M5 steel after exposure to an electron beam is higher than in the initial state. A cardinal difference in the state of the material after exposure to an electron beam is the presence of bending extinction contours in all M6C carbide particles.
Processing of a Nutrient-Rich Cereal Butter an Alternative to Peanut Butter

Cereal butter were made from sunflower, pumpkin, garden cress, corn, rye and peanut butter served as control. Chemical, physical, microbiological, textural and sensory evaluation of cereal based butter poduced from different types of cereal were analzed using a standard method. Pumpkin had highest protein (30.23%), while sunflower, pumpkin and peanut cereals had the highest amounts of fats (51.46, 49.05 and 48.00%, respectively). Also, corn had the highest amounts (72.56%) of carbohydrate. For microbiological evaluation, data show that total mould count ranged between 1.10 to 1.80 log cfu/g for rye and peanut, respectively. Garden cress is a good source of potassium, calcium, iron, and sodium. Also, Pumpkin is a good source of Magnesium, zinc, Phosphor and Selenium. Sunflower had the highest value of Vitamin B1, B2, B6, B9 and E but garden cress had the highest value of B2, K and C vitamins. The fatty acid composition of cereals reported that palmitic acid was the highest value in rye 21.80%. The Palmitoleic acid ranged from 0.22 to 12.50%, the lowest was peanut and highest occurred in sunflower. The highest of oleic acid was peanut 46.80%. Sunflower had highest Linoleic acid (69.0%) and garden cress had highest of linolenic acid 32.18%. Rye had highest value (20.69%) in Arachidic acid and garden cress scored highest in Eicosenoic acid (13.40%). The microbiological quality of cereals butter samples are total aerobic bacterial counts (TAB) ranged between 1.09 log cfu/g (rye butter) to 1.91 log cfu/g (peanut butter). Garden cress was obtained the higher for viscosity value (16100, 15900 and 15700 cp/s) at 25, 40, 60°C than other cereals butter. In texture Original Research Article Sisy and Ali; AFSJ, 20(1): 25-39, 2021; Article no.AFSJ. 64522 26 analysis, garden cress butter had the highest significant amounts of hardness, cohesiveness, gumminess, chewiness and adhesiveness. Sensory evaluation of sunflower butter had the highest significant amounts of overall acceptability, peanut butter then pumpkin butter (96.30, 88.40 and 79.20, respectively) in all samples. Results could be useful in improving cereal butter processing and delivering sunflower butter to consumers who are more concerned as a functional food, high fat content and peanut allergy.
Time-dependent seismic hazard and risk due to wastewater injection in Oklahoma

In the past decade, Oklahoma has experienced unprecedented seismicity rates, following an increase in the volumes of wastewater that are being disposed underground. In this article, we perform a probabilistic assessment of the time-dependent seismic hazard in Oklahoma and incorporate these results into an integrated seismic risk model to assess the evolution of the statewide economic losses, including a conservative forecast through 2030. Our risk model employs an injection-driven earthquake rate model, a region-specific ground motion model, a recent Vs30 map, HAZUS exposure data and updated vulnerability curves for both structural and nonstructural elements, and contents. The calculations are performed using a stochastic Monte Carlo–based approach implemented in the OpenQuake engine. The resulting seismic hazard maps illustrate the incompatibility of the regional seismic provisions with the current seismicity. In 2015, in particular, the induced seismic hazard in several places in Oklahoma was higher than along the San Andreas fault. During the peak of seismicity in 2015, the seismic risk was 275 times higher than the background level, with the vast majority of losses originating from damages to nonstructural elements and contents. Our direct economic loss estimates are in reasonable agreement with the paid insurance claims, but show significant sensitivity to the ground motion model selection. The proposed risk model, with possible regular updates on the seismicity rate forecast, can help stakeholders define acceptable production levels.
Unraveling Sources and Climate Conditions Prevailing during the Deposition of Neoproterozoic Evaporites Using Coupled Chemistry and Boron Isotope Compositions (δ11B): The Example of the Salt Range, Punjab, Pakistan

In this study, the ion concentrations (K+, Na+, Ca2+, Mg2+, Cl−, SO42−, Br−, NO3−, and B3+) and boron isotope compositions (δ11B) of 34 halite and brines samples from the Neoproterozoic Salt Range Formation, Punjab, Pakistan were studied. Relation among B3+ vs. Mg2+, B3+ vs. SO42−, δ11B vs. B3+, and δ11B vs K+ were observed, they indicated that these elements originate from multiple sources and the end members were identified as seawater, B desorption from clays, and meteoric precipitation. Halite samples of the area under study displayed a Na-HCO3-type to Ca-Cl type sedimentary basin of deposition, on δ11B vs. 1/B plot. Molar ratios of B/Cl vs. δ11B revealed the addition of B in some of the studied samples from desorption of clay minerals. This type of diagenetic desorption of B from clays is the consequence of a stress driven mechanism, generated in the proximity of a decollement zone. Results confirm that the number of B stable isotopes that fractionate between the brine and the halite is low. The halite δ11B from the Salt Range Formation vary from +2.1 to +24.4‰, compared to +17.3 to +26.1‰ in the salt pool brines, and suggest that boron isotope compositions are controlled by the δ11B of the B sources. The positive relationship between the boron content and the corresponding δ11B indicates a higher salinity and drier paleoclimate conditions during the formation process, associated with a high evaporation rate in the Late Neoproterozoic time. Presence of elevated δ11B in the present study, demonstrate compatibility with other marine basins of the world, arising the need for further investigations to better characterize the 11B-enriching processes.
Mendorong Loyalitas Melalui Kualitas Pelayanan dan Kepercayaan

Among the many factors that affect customer loyalty, this study focuses more on the effect of service quality and trust on customer loyalty. This study aims to determine the effect of service quality and trust on customer loyalty of SME’s products. The survey method involved respondents through a purposive non-random sampling technique of 40 consumers who had used online purchasing services. Primary data obtained by distributing questionnaires. The choice of answers on the questionnaire uses the Guttman Scale, which is a scale used for clear answers, which only consists of two answer choices, agree or disagree. Several tests were applied in the form of validity, reliability and normality tests, partial and multiple correlation, regression, t test and F test. Some of the findings in this study are that there is a positive and significant influence between the service quality variable on the customer loyalty variable at a positive and strong level of influence. There is a positive and significant influence between the trust variable on customer loyalty which is positive and the effect is very strong, and simultaneously service quality and trust have a positive and significant effect on customer loyalty for MSME’s products.
DRINKING WATER QUALITY STATUS IN GILGIT, PAKISTAN AND WHO STANDARDS

This study is aimed at to determine the drinking water quality as per WHO standards from Danyore village of Gilgit-Baltistan, where drinking water is not treated before it is used. Samples were taken from ten different points and analyzed for physical, chemical and bacteriological parameters by using different kits such as Hydrolab MS 5 (Multiprobe Snode), Lovibond minikit and Pour plate method. The data showed the variation of the investigated parameters in samples such as Temperature 5.6 - 22.5oC, pH 5.0 - 7.8, Specific conductivity (SP) 305.2 to 493.3 μs/cm, Turbidity 17.1-96.0 NTU, Total dissolved solids (TDS) 200-300(mg/l), Level of dissolved oxygen (LDO) 5.5-9.36(mg/l), Salinity 150-250(ppm), Total alkalinity 30-43(mg/l), Total Hardness 160-190(mg/l). Upon microbiological water analysis total coliform/ml were observed. In channel total coliform were higher ranges than in tap water. The concentrations of some of the investigated parameters in the drinking water samples were within the permissible limits of the World Health Organization (WHO) drinking water quality guidelines while some were showing variation from those guidelines. Especially the channel water samples were showing highly contaminated by E.coli and found unsafe for human consumption and may cause health disorders. Proper sanitation, waste disposal management and installment of water treatment plants are recommended.
Portfolio choices: comparative statics under both expected return and volatility uncertainty

This paper studies the comparative statics of an optimal portfolio choice problem for an investor with both expected return and volatility ambiguity about the financial market. The optimal holding of the risky asset depends on risk preference, expected return and volatility ambiguity, yielding a general comparative statistics analysis for all investors with linearly growing absolute risk tolerance.
Just a Piece of Paper? Domestic Standards Certification and Small Firm Growth in Viet Nam

Abstract Using two waves (2013, 2015) of the Micro, Small, and Medium sized Enterprises (MSMEs) survey of Vietnamese manufacturing firms, this paper first explores what drives firms’ decision to have a domestic standards certificate, taking into account a rich number of factors related to the cost and expected benefits of certification as well as institutional factors. It further explores the presence of a positive and significant effect of domestic certificates on firm growth, testing whether these serve as signalling devices for desirable attributes under information asymmetry. Evidence is indeed found for a signalling effect of domestic standards certification, being stronger for female-run businesses. Results hold even when controlling for international certifications.
Role of Social Support and Ego Network Characteristics on Quality of Life

Mental health courts offer alternatives to incarceration for persons with severe mental illness who are involved in the criminal justice system. These courts have the dual function of ensuring treatment for persons involved in the court as well as ensuring the safety of the public. Persons with severe mental illness who are involved in mental health courts rely on others for support, such as family members. Others may buttress the participant from engaging in criminal activities and provide for needs of the participant. The supportiveness as well as the composition of one’s network members may play a role in the success of mental health court participants, such as successfully completing the mental health court program and avoiding incarceration. Little research has explored how social support impacts mental health court participants. We explored how the composition and sense of support of network members were associated with mental health court participants’ quality of life. We regressed quality of life on social support and network characteristics of 80 participants in two mental health courts. Findings suggest that perceived support is positively associated with quality of life, and the proportion of family in one’s network was negatively related to quality of life. Findings suggest that persons involved in mental health courts need supportive others in their social networks in addition to family. More research is needed to explore the reasons having a higher proportion of family members in one’s network is associated with lower quality of life. Practitioners need to pay attention to and leverage mental health court participants’ social networks to help improve their quality of life.
Increased prevalence of autoimmune diseases in children with chronic spontaneous urticaria

< 5% of children). We therefore recommend assessing for AuIDs only if there is a suggestive clinical history and physical exam. These results and recommendations are more conservative than those published by Kosmeri et al., (2019) 4 who indicated that screening for AuIDs would be beneﬁcial as diseases, such as celiac disease, may be diagnosed in the absence of indicative signs 4 . The higher prevalence of AuIDs in children with CSU is in line with the shift of paradigm regarding the pathogenesis of CSU suggesting it is an autoimmune or auto-allergy rather than an idiopathic condition. It is now thought that CSU is an autoimmune condition caused in most cases by a type I hypersensitivity reaction to various self-antigens that bind to IgE (auto-allergy) 1 . Our results suggest an association between autoimmune hypothyroidism among children with CSU and older age and elevated CD63. A review of thyroid disease in adults determined that the likelihood of having an autoimmune thyroid disease increases with age 5 . It is hypothesized that epigenetic changes due to environmental factors, contribute to the development of inﬂammation and autoimmunity with increasing age 5 . Additionally, CD63 is increasingly being accepted as a marker of IgG mediated autoimmunity in CSU 3 . There are several limitations in our study. Firstly, as reference prevalence values were not available in children in North America, we compared our estimate to European data that do not necessarily reﬂect the Canadian pediatric population. Nevertheless, the prevalence of AuIDs in European children is not expected to be lower than that of North America, given that studies suggest a higher prevalence of AuIDs in the general population in Europe versus North America 6 . Hence, we expect that diﬀerences observed in our population would have been even higher if compared to the Canadian population. In conclusion, our study suggests that AuIDs is more common among children with CSU and that hypothyroidism is more likely in older children with higher CD63 levels. Increased awareness and appropriate diagnosis of AuIDs when suggested on clinical history or physical exam will contribute to better management of CSU patients.
Preintervention MCP-1 serum levels as an early predictive marker of tumor response in patients with hepatocellular carcinoma undergoing transarterial chemoembolization

Background Transarterial chemoembolization (TACE) is a widely accepted treatment for unresectable or intermediate-stage hepatocellular carcinoma (HCC). However, response rates to TACE are heterogeneous and it is not fully understood which patients benefit most from TACE therapy in terms of tumor response. To identify the possible predictive roles of the perioperative monocyte chemoattractant protein-1 (MCP-1) levels in patients of HCC treated with TACE. Methods Forty patients of HCC receiving TACE were enrolled in a single center prospective observational study. MCP-1 and miR-210 levels were measured in 40 HCC patients at baseline before TACE and compared with 17 healthy controls by immunoassay and reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). Tumor response assessments were taken after TACE treatment 4–6 weeks. Univariate and multivariate analysis were conducted to analyze factors correlated with tumor response in a Logistic regression model. The predictive roles of the involved variables on tumor response in patients with HCC suffering TACE were examined by receiver operating characteristic (ROC) curve analysis. Results The serum MCP-1 and miR-210 levels were significantly elevated in HCC patients compared to healthy subjects. Patients with the low preintervention MCP-1 and miR-210 levels attained a higher probability of achieving an objective response (OR) (88.5% vs.42.9%, P=0.007; 76.9% vs. 35.7%, P=0.010, respectively). Pre-TACE MCP-1 level (<816.63 pg/mL) was an independent risk factor associated with OR after TACE by univariate and multivariate analysis while Pre-TACE miR-210 level (<4.43 relative expression) was just positive by univariate analysis. ROC curve analysis showed that a combined index based on those two factors exhibited optimal predictive power of tumor response among all the involved variables (area under the curve =0.823, 95% CI: 0.681–0.965). Additionally, high pre-TACE serum MCP-1 level was correlated with cirrhosis, vascular invasion and Barcelona Clinic Liver Cancer (BCLC) stage. Elevated pre-TACE serum miR-210 level was associated with and BCLC stage. Conclusions The study demonstrates that the pre-TACE serum MCP-1 level serves as an effective predictor for tumor response. These findings probably help discriminate HCC patients pre-TACE who specially benefit from TACE regarding OR.
High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments

Trafﬁc speed prediction is an indispensable element of intelligent transportation systems. Numerous studies have devoted to high-precision prediction models. However, most existing methods implement the link-wise or network-wide input. The former is time-consuming especially for large-scale applications, while the latter may incur the dilemma of underﬁtting owing to the heterogeneous trafﬁc states within the entire network. Herein, we propose a novel prediction scheme based on spatiotemporal trafﬁc pattern clustering. Firstly, road segments are partitioned into several groups via the developed clustering approach, which considers both the observed data sequence and spatial topology structure. Subsequently, sequence-to-sequence learning architecture is employed for each group to generate predictions for the entire trafﬁc network. Validated by a real-world dataset in Beijing, our proposed paradigm offers a signiﬁcant improvement over other well-known benchmarks for various prediction intervals in terms of prediction accuracy and computational efﬁciency.