Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Iranian EFL Learners’ Learning Styles and Their Performance on Reading Journalistic Texts: A Gender Perspective

This paper examined the relationship between upper intermediate female and male EFL learners’ learning styles and their performances on reading journalistic texts. Moreover, the study checked whether the gender of the participants has any impact on their performances on reading journalistic text styles. To this end, 30 female and 30 male homogeneous participants aged 22 to 45 years old, were selected based on their performance on Oxford Placement Test (OPT). To identify the participants’ learning styles, a questionnaire was distributed among the participants. The participants also sat for a test of reading journalistic texts designed by the researchers. The results indicated that learning style as a composite variable could predict the female learners’ reading of journalistic materials, and that group learning style was significantly correlated with reading journalistic texts. The data analysis, furthermore, revealed that learning style could not significantly predict male EFL learner’s performance on journalistic reading texts. Moreover, the differences between the learning styles of male and females EFL learners could not bring about significant changes in their reading journalistic texts. The results have some implications for EFL teachers and students, material developers, and curriculum designers. explaining JTS of male EFL learners, which was totally different from what was obtained for female learners. The relevant Beta value for tactile learning style was the second-highest value out there ( Beta = -.22), indicating that it made less of a contribution. Then there were individual learning style ( Beta = .19), visual (.10), kinesthetic (-.09), and group (-.03) learning styles. The Sig. values for all different types of learning style were larger than the significance level, indicating that none of the learning styles could significantly predict JTS of EFL learners.
When Do IT Capabilities Create Value for Buyer Performance? The Moderating Effect of Social Capital on Supply Chain Information Integration

ABSTRACT This study investigates the effects of information technology (IT) integration and IT flexibility on information sharing and collaborative planning within supply chain. It also examines the moderating roles of shared value and supplier trustworthiness. The results indicate that IT integration is positively related to collaborative planning, while IT flexibility is positively related to information sharing and collaborative planning. Furthermore, shared value and supplier trustworthiness positively moderate the effects of IT integration and IT flexibility.
Religious Translation between Arabic and English, with Reference to Quranic Rhetorical Questions

Translating rhetorical questions from one language into another is not an easy task at all. This is due to the fact that rhetorical questions are not posed to elicit information, but rather to denote something else, namely rhetorical functions or purposes. Such functions might be changed and or distorted in translation if certain issues are not considered. Of these issues is the tenor of rhetorical questions. As such, the current study is an attempt to investigate Quranic rhetorical questions that denote rhetorical functions such as negation, testing, and showing abundance to determine the extent to which the tenor of such questions is preserved in the English translation of al-Hilali and Khan (1996). Toward this end, the interpersonal metafunction of the Quranic rhetorical questions and their English translation is analysed. In this case, the study employs Halliday's (1996) tenor and its associated metafunction, i.e., interpersonal metafunction. The analysis shows that the tenor of Quranic rhetorical questions under investigation is maintained, highly distorted and partially distorted. Consequently, the functions of such rhetorical questions are mostly affected.
Evaluating the effectiveness of online teaching in architecture courses

In recent decades, there has been an increase in online learning in many disciplines including architecture. In 2020, this situation accelerated as architecture programs world-wide transitioned to online learning. This paper uses surveys and semi-structured interviews to evaluate the effectiveness of online teaching for architecture courses. A total of 15 courses from three Australian universities were included in this study, survey results from 88 students in these courses were collected, and three in-depth interviews with course convenors were conducted. The results indicate that students have relatively positive learning experiences in online courses, in particular due to the increased flexibility that they can enable. However, there is also a need for further development of the online teaching tools associated with architecture studio courses, and an opportunity to enhance teaching for online lecture-based courses which presently show sub-optimal student engagement.
Marine-Sediment Characteristics and Thickness Over The Eroded Sayung Coast, Demak, Indonesia

An over whelming erosion occurred in Sayung waters is related to sedimentary processes. That is why the deeper determination of sediment characteristics through direct survey and acoustic data retrieval is crucial. Several previous related studies had been conducted revealing the rate and model of sedimentation. This study aimed to describe the sedimentary processes according to its features and deposition. In this study, we conducted a grab-sampling, bathymetry surveys and also hydrodynamical model. Grain size analysis was employed to observe the characteristics of sediment and its deposition environment. At the same time, we applied dual-frequency bathymetry data for estimating sediment thickness which reflects the accumulation sediment over Sayung waters. We found that sediment texture varies from sand to clay, while coarse sediment fraction is dominant in the western part. Near the coastline area of Sayung waters reflecting the more potent transport mechanism in the deposition environment, proven by the less-accumulated sediment from 0-2.5 km from the coastline. In sea-ward regions, we observed the finer sediment fraction, showing that the low-transport mechanism takes place. The topographical alteration has intensively occurred at 2.5-3.2 km from the coastline. Tidal current has an essential role in inducing local transport whereby the speed varies ranging from 0-0.14 m/s, other than that, the more substantial current features have observed in Surodadi and Bedono coast moving perpendicularly toward the beach. In contrast, in the southern Sayung waters, the current profiles tend to be weak inducing higher sedimentation. Besides, the emergence of the sandbar has a role in reflecting sediment texture predomination in Sayung waters.
An international partnership was instrumental in building blood transfusion research capacity in South Africa

Background. The South African National Blood Service participated in the Recipient Epidemiology and Donor Evaluation Study (REDS-III) multicentre study between 2011 and 2019. The goal of this partnership was to perform cutting-edge research in transfusion medicine while at the same time building a broad base of local research capacity. This is a challenge in low- and middle-income countries such as South Africa (SA) for multifactorial reasons. Objectives. To evaluate the outcome of the research capacity-building initiative. Methods. The REDS III study provided multiple opportunities for local research participation in projects designed to reduce the impact of HIV on the SA blood supply. Research capacity building initiatives included research training courses in SA and internationally for promising junior SA investigators under the separate Fogarty International HIV training grant. In addition, junior researchers were provided with ongoing mentorship and collaborative interactions with experienced researchers. Research outputs directly and indirectly linked to REDS III are described. Results. Over a 9-year period, the following research capacity building was accomplished: the core study team of 12 staff were trained in the responsible conduct of research, 34 staff attended local research training and 6 young investigators were trained internationally in manuscript writing. Three staff developed a study database. Five staff expanded the existing biorepository. Sophisticated laboratory and clinical skills were taught to 9 staff to enable large leukapheresis collections and performance of specialised laboratory tests locally. A functional research office was established by 4 study members. A total of 91 abstracts were presented at international and national conferences. Twenty-three transfusion-related manuscripts have been published in reputable journals. Six staff attained further qualifications, of which an additional three are PhDs in progress. A long-term plan to establish a research academy at the SA National Blood Service (SANBS) has been initiated. Conclusion. Significant research capacity and output was established at SANBS through a successful North-South collaboration effecting blood transfusion safety in SA. Achieving sustainability was an early commitment, and has resulted in the establishment of a research academy and multiple local and international collaborations
Comparative study for machine learning classifier recommendation to predict political affiliation based on online reviews

Muhammad Zubair Asghar, Institute of Computing and Information Technology, Gomal University, Dera Ismail Khan Khyber Pakhtunkhwa, Pakistan. Email: zubair@gu.edu. pk Abstract In the current era of social media, different platforms such as Twitter and Facebook have frequently been used by leaders and the followers of political parties to participate in political events, campaigns, and elections. The acquisition, analysis, and presentation of such content have received considerable attention from opinion‐mining researchers. For this purpose, different supervised and unsupervised techniques have been used. However, they have produced less efficient results, which need to be improved by incorporating additional classifiers with the extended data sets. The authors investigate different supervised machine learning classifiers for classifying the political affiliations of users. For this purpose, a data set of political reviews is acquired from Twitter and annotated with different polarity classes. After pre‐processing, different machine learning classifiers like K‐nearest neighbor, naïve Bayes, support vector machine, extreme gradient boosting, and others, are applied. Experimental results illustrate that support vector machine and extreme gradient boosting have shown promising results for predicting political affiliations.
Cost-effectiveness of patient navigation for lung cancer – a systematic review

Background: Patient navigation (PN) programs have been shown to increase patient satisfaction and quality of life among patients with lung cancer and to decrease time to treatment. However, the general cost-effectiveness of such programs in the context of lung cancer remains unknown. Hence, the aim of the present systematic review was to analyze the scientific literature and quantitatively assess the level of evidence on the cost-effectiveness of PN programs for patients diagnosed with lung cancer. Methods: A systematic literature search was carried out in PubMed, EMBASE, CENTRAL, CINAHL and PsycINFO databases without time limitations. Randomized controlled trials written in English or German were eligible for inclusion if any results regarding the cost-effectiveness of personally delivered PN programs for patients after lung cancer diagnosis were reported. A manual search was carried out to supplement the systematic search. Additionally, the authors of ongoing or unpublished relevant research were contacted. The titles, abstracts and full texts of relevant citations were screened independently by two reviewers. Results: The initial search yielded 814 articles, including four papers identified manually. Twenty-one articles were included in the full text screening. However, no study met the inclusion criteria. Contacting the authors of ongoing or unpublished research and cross-cancer studies did not yield any studies that met the inclusion criteria. Conclusion: Since no study met the inclusion criteria, this study reveals a research gap in this area. Furthermore, no conclusive statement regarding the cost-effectiveness of patient navigation programs for patients diagnosed with lung cancer can be made. Since the implementation of new healthcare models such as PN at least partially depends on their cost-effectiveness, future attempts to evaluate PN programs for lung cancer patients should consider examining outcomes related to cost-effectiveness to overcome the identified research gap.
Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm

The accurate and stable forecasting of carbon prices is vital for governors to make policies and essential for market participants to make investment decisions, which is important for promoting the development of carbon markets and reducing carbon emissions in China. However, it is challenging to improve the carbon price forecasting accuracy due to its non-linearity and non-stationary characteristics, especially in multi-step-ahead forecasting. In this paper, a hybrid multi-step-ahead forecasting model based on variational mode decomposition (VMD), fast multi-output relevance vector regression (FMRVR), and the multi-objective whale optimization algorithm (MOWOA) is proposed. VMD is employed to extract the primary mode for the carbon price. Then, FMRVR, which is used as the forecasting module, is built on the preprocessed data. To achieve high accuracy and stability, the MOWOA is utilized to optimize the kernel parameter and input the lag of the FMRVR. The proposed hybrid forecasting model is applied to carbon price series from three major regional carbon emission exchanges in China. Results show that the proposed VMD-FMRVR-MOWOA model achieves better performance compared to several other multi-output models in terms of forecasting accuracy and stability. The proposed model can be a potential and effective technique for multi-step-ahead carbon price forecasting in China’s three major regional emission exchanges.
A study on the effect of finishing line depth on the strength of Feldspathic ceramic in dental clinic

CAD/CAM dental restoration had become a sequence of digital tool and software to perform best esthetic with strong material. The effect of only three marginal thickness (0.5,1.0 and 1.5mm) on fracture strength of feldspathic ceramic (FSC) ceramic have been deal within present project Thirty-six (36) die model were tested in separate, fracture load has been carried out until catastrophic failure occurred using low speed video recorder. Range of variation at the values exceed 2000N for all the three sets whereas the mean value of fracture strength for 0.5,1.0,1.5 mm marginal thickness was 1873,2028 and 1296 N respectively. Standard deviation and coefficient of variance were calculated for the result. The influence of these three-finishing line depth on fracture strength of FSC was not so clear. Still applying FSC is promising for prosthodontic restoration as an alternative to the previous metal ceramic. Future studies could lead to more precise answer to the most suitable finishing line. Keyword :dental clinic , Feldspathic , dental clinic , strength of ceramic Hawler Medical university Dental college Erbil Kurdistan of Iraq Corresponding author Lana B khedher Email, lana Bahram@yahoo.com tel: 009647404258575 2 Van YYU Dis Hekimligi Fakultes Article information Article history: Received November 9, 2020 Accepted November 25, 2020 Available online May 5, 2021 Mosul Journal of Nursing, Vol. 9, No. 1, 2021 ( 83-54 )
Dynamic malware attack dataset leveraging virtual machine monitor audit data for the detection of intrusions in cloud

In this new era of cloud computing, Intrusion Detection System (IDS) is very essential for the continual monitoring of computing resources for signs of compromise since the number of attack vectors and malware are in increase. Only few IDS datasets are publicly available and those available are outdated, lack cloud‐specific attacks. This article presents a novel dataset based on Virtual Machine Introspected data for the implementation of IDS in cloud. The dataset was generated from the behavioral characteristics of malware and benign sample execution traces on virtual machines using Virtual Machine Introspection (VMI) technique. A vector space model based on system call approach is applied to analyze the behavioral characteristics for the generation of proposed dataset. The purpose of this study is to compare the proposed dataset with existing datasets and evaluate the effectiveness of these datasets by applying Machine Learning (ML) algorithms with 10‐fold cross‐validation. The ML algorithms used in the experiments are C4.5, Random Forest, JRip, NaiveBayes, K‐Nearest Neighbors (KNN), and Support Vector Machine (SVM). The effectiveness of detecting intrusions using proposed dataset is promising compared with other datasets in‐terms of intrusion detection accuracy, recall value, precision, and F1‐score metrics. For example, the intrusion detection accuracy in proposed dataset is 0.11% improved than UNM dataset, 6.28% higher than ADFA dataset, and 1.88% higher than LID dataset with C4.5 algorithm. Therefore, the proposed dataset is best suitable for implementing IDS for cloud.
Surviving a Cultural Genocide: Perspectives of Indigenous Elders on the Transfer of Traditional Values

The purpose of this ethnographic study was to examine how Indigenous elders perceive traditional values. This study employed Portraiture, which allowed Indigenous elders to share their stories in a culturally tailored and relational manner. The authors’ captured and present richly detailed stories that describe the intersects between human experiences and sacred beliefs. The scholars eloquently braid the first authors experiences at three (3) traditional Indigenous ceremonies with the words of Indigenous elders to tell a story about overcoming an attempted cultural genocide. The ceremony participation and elder visits helped identify ten traditional values encasing spirituality displayed in the Hoop of Traditional Blackfoot Values presented in the English language and the Blackfoot language.
The role of perceived vulnerability in restaurant customers’ co-creation behavior and repatronage intention during the COVID-19 pandemic

This study examines the antecedents of restaurant repatronage intention and the extent to which risk perception (i.e. perceived vulnerability) moderates the formation of that intention during the COVID-19 pandemic. Service fairness, trust, and co-creation behavior were investigated as the antecedents of restaurant diners’ repatronage intention formation process in the context of the COVID-19 pandemic. Using the data collected from people who had dined in a restaurant during the study period, a structural analysis was conducted with the Partial Least Squares method. The proposed model in the study explained a significant amount of the variance in the customers’ repatronage intention and partially supported the moderation effect of perceived vulnerability to COVID-19. The findings of the study contribute to advancing our knowledge of how the perceived vulnerability to COVID-19 leverages customers’ repatronage intention, which is affected by service fairness, trust, and co-creation behavior in the restaurant industry.
The Effect of Conducting Introduction Activities with Native Language and Video Learning on Academic Success in Teaching

The aim of this research is; the analysis of the effect of delivering the introduction activity, which is among the classroom teaching situations, in native language under the guidance of an instructor with usage of video learning object, instead of using a lecturer who uses target language and makes a classic presentation in foreign language teaching process. In this study, eight video learning objects were used. It is a quantitative and experimental study. Data were collected by using multi-subject, AB (mixed) patterns, static test and control group comparatives, pre- and post-test control group model. SPSS 25 statistical program was analyzed by Mann Whitney U and Wilcoxon Signed Ranks tests with partial eta-square and eta-square statistics. According to the results of this study: at A1.2 level, in foreign language teaching processes; instead of a lecturer who uses target language and classical presentation, the instructor guided input activity given by the lecturer with video and learning object prepared in mother tongue is highly effective in developing language skills. In terms of language skill types, while compared to the lecturer who uses classical presentation, instructor guided input activity given by the lecturer with video and learning object prepared in mother tongue does not make a significant difference in other skill type development, it’s highly effective in developing speaking skills. This situation was similar in terms of language skills only in speaking skills. It is expected that the study can give similar results for B2 and lower language skill levels. In addition, it has been proposed to reach at least 30 subjects and to repeat this and other patterns in order to make the generalizability of the study effective.
Payoff Matrix’s Effect on Trust Game Paradigm

This report first sorted out the definition of trust and found that researchers did not have a unified definition of trust. But trust includes two core characteristics: dependence and risk. Then we introduce the measurement methods of trust, including the trust game paradigm and its variants, in which the binary trust game paradigm and the three parameters in the payoff matrix of trust game paradigm are introduced; those three parameters are cost, benefit and temptation. Since previous studies exploring the influence of these three parameters on people’s trust behavior in the trust game paradigm have inconsistent results, some researchers reported that it is because the absolute values of these three parameters are used when analyzing the results. Therefore, based on these three parameters, some researchers proposed a risk index, a temptation index and a cooperation index, and found that the three standardized parameters can predict people’s trust behavior better.
Optimization of parameters for ethanol extraction of flavone glycosides from ginkgo cell and antioxidant activity in vitro

For improving the yield of flavone glycosides from cultured Ginkgo biloba cell,the optimization of the ethanol extraction was performed with response surface methodology(response surface methodology,RSM). Results indicate that extract time,temperature and ethanol content have significant effects on extraction rate on the basis of univariate experiments determined by Plackett-Burman design of software Design Expert 8.0. Three factors above can be fitted into a second-order polynomial model.The best combinations achieved are with 72.05% ethanol and water for 3.285 h at 76.85℃. The yields of flavone glycosides experimentally with HPLC is 1.8101%,which is identical with the predictive value.The establishment of the model provides adequate accuracy and repeatability in predicting the yield of flavone glycosides from ginkgo cell.The results of antioxidant experiments in vitro show that the clearance of free radical and inhibition of selt-oxidant of plant oil is ideal.