Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing WebQuests for Enhancing Teaching Skills of Saudi Pre-Service Teachers of English as a Foreign Language

Purpose: There is need to focus on extensive use of technology in teaching and learning process, since the teachers are provided with well-organized WebQuests that are beneficial for developing effective teaching skills. The study aims to investigate the extent of the effects of WebQuests on the teaching skills and performance of pre-service teachers of English at the College of Education of King Khalid University. Methodology: The study sample, which included 35 students of the general diploma in English, were divided into two groups: experimental and control. The members of the control group were supervised in the traditional way during their teaching practice, and the members of the experimental group were given WebQuests so that they could surf the internet under the guidance of their supervisor and find the information they needed about teaching skills. The teaching performance of the teachers of both groups was assessed via a teaching performance observation form. The data collected through classroom observation was analyzed using SPSS. The differences between the teachers of both the groups in terms of the teaching skills were calculated using Mann-Whitney U test. Findings: Statistically significant differences were found in the rank means of the participants of the control and the experimental groups regarding their lesson planning and teaching skills. The results were favorable for the teachers of the experimental group; however, no significant difference was found between the scores of the experimental and the control groups in terms of lesson evaluation skills. Originality: The use of WebQuests significantly enhances the teaching skills of the students of the general diploma in English.
Environmental variability controls recruitment but with different drivers among spawning components in Gulf of St. Lawrence herring stocks

Funding information Government of Canada Abstract The factors affecting herring recruitment are still poorly understood, complicating the prediction of stock dynamics and the choice of operational management strategies. We investigated effects of intrinsic (SSB) and extrinsic factors (physical and biological environments, including competition and predation) on recruitment of the spring and fall spawning components of each of the two herring stocks occurring in the Gulf of the St. Lawrence between 1971 and 2014. Effects of potential explanatory factors on recruit (age 2) abundance were tested using Generalized Additive Models. Model fit was significantly improved by incorporating both physical and biological environmental variability, but effects of herring SSB and predation were not significant. Indices of zooplankton abundance and phenology explained more variance in recruitment than physical indices. Our results emphasize the dominance of bottom-up processes over SSB in the regulation of herring recruitment. Environmental variability did not seem to act uniformly on the recruitment of either stock or their respective spawning components. A long-term trend of decreasing recruitment in spring spawners was associated with a long-term decline in abundance of cold water copepods. In fall spawners, optimal recruitment was dependent on warmer environmental conditions combined with an adequate supply (species composition and phenology) of zooplankton. These results provide the first empirical evidence that spring and fall spawning herring are adapted to contrasting environmental conditions and shed light on the potential mechanisms linking herring recruitment to key zooplankton community characteristics and phenology. Management strategies can be improved by incorporating this new knowledge on environmental drivers of herring recruitment.
Making the most of all data: Combining non‐genotyped and genotyped potato individuals with HBLUP

Using genomic information to predict phenotypes can improve the accuracy of estimated breeding values and can potentially increase genetic gain over conventional breeding. In this study, we investigated the prediction accuracies achieved by best linear unbiased prediction (BLUP) for nine potato phenotypic traits using three types of relationship matrices pedigree ABLUP, genomic GBLUP, and a hybrid matrix (H) combining pedigree and genomic information (HBLUP). Deep pedigree information was available for >3000 different potato breeding clones evaluated over four years. Genomic relationships were estimated from >180,000 informative SNPs generated using a genotyping‐by‐sequencing transcriptome (GBS‐t) protocol for 168 cultivars, many of which were parents of clones. Two validation scenarios were implemented, namely “Genotyped Cultivars Validation” (a subset of genotyped lines as validation set) and “Non‐genotyped 2009 Progenies Validation”. Most of the traits showed moderate to high narrow sense heritabilities (range 0.22–0.72). In the Genotyped Cultivars Validation, HBLUP outperformed ABLUP on prediction accuracies for all traits except early blight, and outperformed GBLUP for most of the traits except tuber shape, tuber eye depth and boil after‐cooking darkening. This is evidence that the in‐depth relationship within the H matrix could potentially result in better prediction accuracy in comparison to using A or G matrix individually. The prediction accuracies of the Non‐genotyped 2009 Progenies Validation were comparable between ABLUP and HBLUP, varying from 0.17–0.70 and 0.18–0.69, respectively. Better prediction accuracy and less bias in prediction using HBLUP is of practical utility to breeders as all breeding material is ranked on the same scale leading to improved selection decisions. In addition, our approach provides an economical alternative to utilize historic breeding data with current genotyped individuals in implementing genomic selection.
Extraintestinal Gastrointetsinal Stromal Tumor: Is it Biologically Different from Gastrointestinal Stromal Tumor

Extraintestinal gastrointestinal stromal tumors (EGIST) are rare tumorsoccurring at many different locations. Their clinicopathological and genotypic profile vary from the GISTs and has not been well described. Clinicopathological and genotype profiles of all EGISTs received within a period of 8 years were evaluated and compared with GIST. Genotyping for KIT and PDGFRA were done by PCR–Sanger sequencing method. Six cases of EGIST (4 mesenteric, 2 retroperitoneal) were encountered along with 74 GISTs. Four cases had epithelioidand/or mixed morphology. CD117 was positive in 100%, DOG1 in 66.7% and desmin in 50% of EGISTs. Mutation rate was 100% in EGIST and 58.8% in gastrointestinal GISTs. All EGISTs were of high malignant potential except one which was of intermediate malignant potential. Median recurrence free survival was lower in EGIST (24 months) than GIST (79 months). EGIST is distinct from the GIST by predominance of epithelioid morphology, higher malignant potential, higher desmin expression and high mutation rate thus indicating a need of specific risk stratification system for EGIST.
Using of Citrus By-products in Farm Animals Feeding

Conventional feedstuffs are often expensive and therefore the utilization of agro-industrial by-products as feedstuffs may be economically worthwhile. Ruminant feeding systems based on locally available by-product feedstuffs (BPF) are often a practical alternative because the rumen microbial ecosystem can utilize BPF which often contain high levels of structural fiber to meet their nutrient requirements for maintenance, growth, reproduction and production. Citrus by-product includes numerous BPF which varies according to the originating crop and method of production that is an important component of ruminant feeding systems in many areas of the world. Citrus pulp is the residues of citrus juice canning industry. Oranges, tangerines, lemons or grapefruits are used for this purpose but the common raw material for juice industry elsewhere in the world is orange fruit (Citrus sinensis). Citrus pulp is the solid residue that remains after fresh fruits are squeezed into juice. Citrus Pulp is the dried residue of peel, pulp and seeds of oranges, grapefruit and other citrus fruit. The nutritional value of citrus pulp is high owing to its high content of readily fermentable carbohydrates and contains a variety of energy substrates for ruminal microbes, including both soluble carbohydrates and a readily digestible neutral detergent fiber (NDF) fraction. Therefore, when citrus BPF substituted for starchy feeds, NDF and acid detergent fiber (ADF) digestibility coefficients are increased. Dried citrus pulp is also a valuable feed for beef and growing cattle and can partly replace energy sources safely included in rations at 20-30% of the DM possible to include up to 40% dried citrus pulp in the diets of fattening cattle without altering animal health. To increase the usefulness of citrus pulp it can be preserved by drying which can been used as the main energy source for beef cattle and heifers up to 45% has been used in calf rations but should not be used at high levels for milking cows as milk production tends to decrease. In addition, the liquid obtained from pressing citrus waste with 9 to 15 percent soluble solids, of which 60 to 75 percent are sugars can be concentrated to become citrus molasses.
ANÁLISIS TÉCNICO-TÁCTICO OFENSIVO CON BALÓN DE LA SELECCIÓN ESPAÑOLA DE FÚTBOL SALA

The objectives of this research were described to describe the technical-tactical offensive technical and tactical with-ball fundamentals of the Spanish futsal team, the contact surfaces and field areas where each fundamental begins, as well as to examine the associative relation between given these fundamentals and the other two criteria. The Observational methodology was has been used. Ball passing and control, the use of the instep, foot inside and sole predominate as well as A predominance of passing and ball controlling is observed, together with the foot’s instep, inside, and sole, besides the beginning of the fundamentals on the rivals’ field. Likewise, it was found that a significantly higher realization of ball control with the sole, ball passing with the inside, ball handling with the instep, dribbling combining different surfaces, and ball shooting with the instep stands out. Finally, it is important to highlight the it also stands out that there is a significantly higher greater performance realization of ball control and passing from the own field, and dribbling and shooting from the rival’s field.
Confounding factors in algal phosphorus limitation experiments

Assessing algal nutrient limitation is critical for understanding the interaction of primary production and nutrient cycling in streams, and nutrient diffusing substrate (NDS) experiments are often used to determine limiting nutrients such as nitrogen (N) and phosphorus (P). Unexpectedly, many experiments have also shown decreased algal biomass on NDS P treatments compared to controls. To address whether inhibition of algal growth results from direct P toxicity, NDS preparation artifacts, or environmental covariates, we first quantified the frequency of nutrient inhibition in published experiments. We also conducted a meta-analysis to determine whether heterotrophic microbial competition or selective grazing could explain decreases in algal biomass with P additions. We then deployed field experiments to determine whether P-inhibition of algal growth could be explained by P toxicity, differences in phosphate cation (K vs. Na), differences in phosphate form (monobasic vs. dibasic), or production of H2O2 during NDS preparation. We found significant inhibition of algal growth in 12.9% of published NDS P experiments as compared to 4.7% and 3.6% of N and NP experiments. The meta-analysis did not show enhanced heterotrophy on NDS P treatments or selective grazing of P-rich algae. Our field experiments did not show inhibition of autotrophic growth with P additions, but we found significantly lower gross primary productivity (GPP) and biomass-specific GPP of benthic algae on monobasic phosphate salts as compared to dibasic phosphate salts, likely because of reduced pH levels. Additionally, we note that past field experiments and meta-analyses support the plausibility of direct P toxicity or phosphate form (monobasic vs. dibasic) leading to inhibition of algal growth, particularly when other resources such as N or light are limiting. Given that multiple mechanisms may be acting simultaneously, we recommend practical, cost-effective steps to minimize the potential for P-inhibition of algal growth as an artifact of NDS experimental design.
Fueling Factionalism? The Impact of Peace Processes on Rebel Group Fragmentation in Civil Wars

While peace processes increase the likelihood that a civil war is resolved, they can also complicate peace by increasing the risk of rebel fragmentation. In this article, we argue that negotiations exacerbate pre-existing structural and substantial divisions within rebel organizations, therefore increasing the likelihood of a rebel split. More specifically, we put forward a theoretical framework that specifies why factions within a rebel group may disagree with the onset of negotiations, the conclusion of a peace agreement, or the implementation of an agreement—and thus break away during the peace process. We empirically assess the merit of this framework by systematically comparing the impact of these phases in a peace process on the fragmentation of rebel organizations. Using data that more accurately reflect the moment a rebel split takes place than earlier studies, we find that peace processes have a greater substantial impact on rebel fragmentation than previously assumed.
A Cognitive-Semantic Analysis of Preposition on: An Experimental Study at University of Baghdad

This study is descriptive quantitative research by using a test to collect the data needed. Iraqi English as a foreign language (EFL) students face difficulties in differentiating between using prepositions correctly. This study has been performed in the Department of English at College of Education for Women, University of Baghdad, to diagnosis the difficulties of English prepositions that face Iraqi first-year students at the University since multi-uses and meanings of prepositions. For Iraqi EFL students, prepositions regarded as a problematic criterion. This study aims at examining the problems that EFL students commit mistakes in using English prepositions of place on. It also highlights the causes of those problems. Correct handling proposition is not because most of them have different functions straightforward, and different prepositions have the same uses. For this reason, the researcher adopted pre and post-tests to evaluate the output of the means of the students' results. The researcher used SPSS to analyze data.
Functional data analysis and prediction tools for continuous glucose-monitoring studies

Abstract Introduction: To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction model that can accurately predict glycemic levels based on past data collected from the CGM sensor and real-time risk of hypo-/hyperglycemic for individuals with type 1 diabetes. Methods: A longitudinal cohort study of 443 type 1 diabetes patients with CGM data from a completed trial. The FD analysis approach, sparse functional principal components (FPCs) analysis was used to identify phenotypes of type 1 diabetes glycemic variation. We employed a nonstationary stochastic linear mixed-effects model (LME) that accommodates between-patient and within-patient heterogeneity to predict glycemic levels and real-time risk of hypo-/hyperglycemic by creating specific target functions for these excursions. Results: The majority of the variation (73%) in glucose trajectories was explained by the first two FPCs. Higher order variation in the CGM profiles occurred during weeknights, although variation was higher on weekends. The model has low prediction errors and yields accurate predictions for both glucose levels and real-time risk of glycemic excursions. Conclusions: By identifying these distinct longitudinal patterns as phenotypes, interventions can be targeted to optimize type 1 diabetes management for subgroups at the highest risk for compromised long-term outcomes such as cardiac disease or stroke. Further, the estimated change/variability in an individual’s glucose trajectory can be used to establish clinically meaningful and patient-specific thresholds that, when coupled with probabilistic predictive inference, provide a useful medical-monitoring tool.
Additive Type Affects Fermentation, Aerobic Stability and Mycotoxin Formation during Air Exposure of Early-Cut Rye (Secale cereale L.) Silage

Whole-crop rye harvested before maturity represents a valuable forage for silage production. Due to the scarcity of data on fermentation characteristics and aerobic stability (ASTA) and the lack of information on mycotoxin formation during aeration of early-cut rye (ECR) silage after silo opening, we evaluated the effects of different additive types and compositions. Wilted forage was treated with various biological and chemical additives, ensiled in 1.5-L glass jars and stored for 64 days. Fermentation pattern, yeast and mould counts and ASTA were determined at silo opening. In total 34 mycotoxins were analysed in wilted forage and in silage before and after 240 h of air exposure. Chemical additives caused the lowest dry matter (DM) losses during fermentation accompanied with the lowest ethanol production and the highest water-soluble carbohydrate concentration. Aerobic deterioration, which started within two days after silo opening in silage left untreated and inoculated with homofermentative lactic acid bacteria, was prevented by the combined use of hetero- and homofermentative lactic acid bacteria and the chemical additive containing sodium nitrite, hexamethylene tetramine and potassium sorbate. Moreover, these two additives largely restricted the formation of the mycotoxin roquefortine C to < 0.05 mg kg−1 DM after aeration, whereas untreated silage contained 85.2 mg kg−1 DM.
Technology innovation in the Nigerian banking system: prospects and challenges

Purpose The banking system in Nigeria is gradually moving away from transactions “across the counter” to the fingertips of the customers with the adoption of modern technology. However, every development comes with its “pros and cons” because as technology innovation has improved service delivery and profitability of banks in Nigeria, crimes are also at a high side. To activating the minds of bank operators about the importance of technology adoption and its shortcomings, this paper aims to examine the prospects and challenges of technology innovation in the Nigerian banking system. Design/methodology/approach Secondary data were retrieved from the annual reports of Central Bank of Nigeria (CBN) and Nigeria Deposit Insurance Corporation (NDIC) from 2013 to 2017 to know the interaction between e-banking platforms and performance of banks in Nigeria. The study administered a questionnaire to the bank customers in Lagos Island, Nigeria to understand their perception towards e-banking. This study is anchored on prospect theory to ascertain the risk orientation of the Nigerian banks regarding how they adopt technology and reasoned action theory to understand the intention of bank customers in using the opportunities of e-banking copiously. Findings The findings of this study reveal the migration from cheques to electronic related transactions. It further indicates a high rate of fraud committed through those channels. The analysis of primary data shows that innovation adoption, service quality, cybercrime have significant relationship with the competitiveness of banks, the intention of bank customers, and perception of customers towards online services. However, the rate of frauds does not have significant relationship with the usage of mobile banking products which further studies can critically examine. Originality/value This study has revealed available huge potentials in the e-banking that are yet to be used in Nigeria. However, consumer orientation needs to be worked on, because, customers still have the fear that cybercrime is mostly committed via e-banking platforms. Unlike in developed countries whereby quite good numbers of customers make use of e-banking platforms, majority of bank customers in Nigeria still prefer using manual methods and the world is already on the verge of moving into 5 G from 4 G.
An Improved Migrating Birds Optimization Algorithm for a Hybrid Flow Shop Scheduling within Steel Plants

Steelmaking and the continuous-casting (SCC) scheduling problem is a realistic hybrid flow shop scheduling problem with continuous-casting production at the last stage. This study considers the SCC scheduling problem with diverse products, which is a vital and difficult problem in steel plants. To tackle this problem, this study first presents the mixed-integer linear programming (MILP) model to minimize the objective of makespan. Then, an improved migrating birds optimization algorithm (IMBO) is proposed to tackle this considered NP-hard problem. In the proposed IMBO, several improvements are employed to achieve the proper balance between exploration and exploitation. Specifically, a two-level decoding procedure is designed to achieve feasible solutions; the simulated annealing-based acceptance criterion is employed to ensure the diversity of the population and help the algorithm to escape from being trapped in local optima; a competitive mechanism is developed to emphasize exploitation capacity by searching around the most promising solution space. The computational experiments demonstrate that the proposed IMBO obtains competing performance and it outperforms seven other implemented algorithms in the comparative study.
A computational perspective on faith: religious reasoning and Bayesian decision

ABSTRACT Religious reasoning (the processes through which religious beliefs are formed) has been investigated by two different approaches. First, explanation theories portray religious reasoning as arising for explaining salient aspects of reality. Second, motivation theories interpret religious reasoning as driven by other motives, for example fostering community bonding. Both approaches have provided fundamental insight, yet whether they can be reconciled remains unclear. To address this, I propose a unifying computational theory of religious reasoning expressed in mathematical terms. Although a mathematical approach has been rarely applied to study religion, its advantage is describing a phenomenon clearly and formally. Relying on a Bayesian decision framework, the model comprises three key elements: prior beliefs, novel evidence, and utility. The first two describe the processes classically interpreted by explanation theories, while utility captures phenomena highlighted by motivation theories. By reconciling explanation and motivation theories, this proposal offers a unifying computational picture of religious reasoning.
Household food security during Covid-19 pandemic in Daerah Istimewa Yogyakarta, Indonesia

Household food security in Indonesia depends on many factors. This study aims to describe household food security during the Covid-19 pandemic in Daerah Istimewa Yogyakarta (DIY). This research was conducted using a questionnaire for taking data. This study showed that there was a difference in household food security between the pre-pandemic of Covid-19 and during the pandemic of Covid-19. The hunger scale di DIY at the pre-pandemic of Covid-19 was 6% and increased during the pandemic of Covid-19 to 11%. It is showed that the financial crisis because of Covid-19 also influenced at increasing household food insecurity. As far as future research is concerned, the impact of food insecurity in vulnerable groups within the studied communities needs to be determined.