323,146 research outputs found
Dataset of Student Level Prediction in UAE
No full textThe data collected can be used as resources and real world examples to allow the researcher to implement criteria into the computational framework applicable in multicultural education countries, such as UAE, in which multi-education systems (i.e. British, American and Canadian curricula) are implemented. The dataset comprises the novel aspects specifically, in terms of student grading in diverse educational cultures within multiple countries. Researchers and other education sectors will be able to see the impact of having varied curriculums in a country. Data compares different levelling cases when student transfer from curriculum to curriculum and the unreliable levelling criteria set be schools currently in an international school. The collected data will allow us to use intelligent technologies like Machine Learning algorithms to develop a computational framework applicable in multicultural countries to aid in a smooth transition “levelling, hereafter” of students who relocate from a particular education curriculum to another; and minimize the impact of switching on the students’ educational performance.
The ultimate goal is to use the data provided by the gatekeeper to study and discover where gaps in levelling are arising and accordingly develop a system that will insure accurate and smooth transition of children from one education system to another while also minimising the impact of switching on the students’ educational performance
Dataset of Student Level Prediction in UAE
No full textThe dataset comprises novel aspects specifically, in terms of student grading in diverse educational cultures within the multiple countries – Researchers and other education sectors will be able to see the impact of having varied curriculums in a country. Dataset compares different levelling cases when student transfer from curriculum to curriculum and the unreliable levelling criteria set by schools currently in an international school. The collected data can be used within the intelligent algorithms specifically machine learning and pattern analysis methods, to develop an intelligent framework applicable in multi-cultural educational systems to aid in a smooth transition “levelling, hereafter” of students who relocate from a particular education curriculum to another; and minimize the impact of switching on the students’ educational performance. The preliminary variables taken into consideration when deciding which data to collect depended on the variables. UAE is a multicultural country with many expats relocating from regions such as Asia, Europe and America. In order to meet expats needs, UAE has established many international private schools, therefore UAE was chosen to be the location of study based on many cases and struggles in levelling declared by the Ministry of Education and schools. For the first time, we present this dataset comprising students’ records for two academic years that included math, English, and science for 3 terms. Selection of subject areas and number of terms was based on influence from other researchers in similar subject matters
Dataset on Student Academic Performance from Different Curricula
No full textThe data collected can be used as resources and real world examples to allow the researcher to implement criteria into the computational framework applicable in multicultural education countries, such as UAE, in which multi-education systems (i.e. British, American and Canadian curricula) are implemented. The dataset comprises the novel aspects specifically, in terms of student grading in diverse educational cultures within multiple countries. Researchers and other education sectors will be able to see the impact of having varied curriculums in a country. Data compares different levelling cases when student transfer from curriculum to curriculum and the unreliable levelling criteria set be schools currently in an international school. The collected data will allow us to use intelligent technologies like Machine Learning algorithms to develop a computational framework applicable in multicultural countries to aid in a smooth transition “levelling, hereafter” of students who relocate from a particular education curriculum to another; and minimize the impact of switching on the students’ educational performance.
The ultimate goal is to use the data provided by the gatekeeper to study and discover where gaps in levelling are arising and accordingly develop a system that will insure accurate and smooth transition of children from one education system to another while also minimising the impact of switching on the students’ educational performance
Sporisorium reilianum possesses a pool of effector proteins that modulate virulence on maize
No full textThe biotrophic maize head smut fungus Sporisorium reilianum is a close relative of the tumour-inducing maize smut fungus Ustilago maydis with a distinct disease aetiology. Maize infection with S. reilianum occurs at the seedling stage, but spores first form in inflorescences after a long endophytic growth phase. To identify S. reilianum-specific virulence effectors, we defined two gene sets by genome comparison with U. maydis and with the barley smut fungus Ustilago hordei. We tested virulence function by individual and cluster deletion analysis of 66 genes and by using a sensitive assay for virulence evaluation that considers both disease incidence (number of plants with a particular symptom) and disease severity (number and strength of symptoms displayed on any individual plant). Multiple deletion strains of S. reilianum lacking genes of either of the two sets (sr10057, sr10059, sr10079, sr10703, sr11815, sr14797 and clusters uni5-1, uni6-1, A1A2, A1, A2) were affected in virulence on the maize cultivar 'Gaspe Flint', but each of the individual gene deletions had only a modest impact on virulence. This indicates that the virulence of S. reilianum is determined by a complex repertoire of different effectors which each contribute incrementally to the aggressiveness of the pathogen
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Sporisorium reilianum Infection Changes Inflorescence and Branching Architectures of Maize
No full textAbstractSporisorium reilianum is a biotrophic maize (Zea mays) pathogen of increasing economic importance. Symptoms become obvious at flowering time, when the fungus causes spore formation and phyllody in the inflorescences. To understand how S. reilianum changes the inflorescence and floral developmental program of its host plant, we investigated the induced morphological and transcriptional alterations. S. reilianum infection promoted the outgrowth of subapical ears, suggesting that fungal presence suppressed apical dominance. Female inflorescences showed two distinct morphologies, here termed “leafy ear” and “eary ear.” In leafy ears, all floral organs were replaced by vegetative organs. In eary ears, modified carpels enclosed a new female inflorescence harboring additional female inflorescences at every spikelet position. Similar changes in meristem fate and organ identity were observed in the tassel of infected plants, which formed male inflorescences at spikelet positions. Thus, S. reilianum triggered a loss of organ and meristem identity and a loss of meristem determinacy in male and female inflorescences and flowers. Microarray analysis showed that these developmental changes were accompanied by transcriptional regulation of genes proposed to regulate floral organ and meristem identity as well as meristem determinacy in maize. S. reilianum colonization also led to a 30% increase in the total auxin content of the inflorescence as well as a dramatic accumulation of reactive oxygen species. We propose a model describing the architectural changes of infected inflorescence as a consequence of transcriptional, hormonal, and redox modulation, which will be the basis for further molecular investigation of the underlying mechanism of S. reilianum-induced alteration of floral development.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Suppressor of Apical Dominance1 of Sporisorium reilianum Modulates Inflorescence Branching Architecture in Maize and Arabidopsis
No full textThe biotrophic fungus Sporisorium reilianum causes head smut of maize (Zea mays) after systemic plant colonization. Symptoms include the formation of multiple female inflorescences at subapical nodes of the stalk because of loss of apical dominance. By deletion analysis of cluster 19-1, the largest genomic divergence cluster in S. reilianum, we identified a secreted fungal effector responsible for S. reilianum-induced loss of apical dominance, which we named SUPPRESSOR OF APICAL DOMINANCE1 (SAD1). SAD1 transcript levels were highly up-regulated during biotrophic fungal growth in all infected plant tissues. SAD1-green fluorescent protein fusion proteins expressed by recombinant S. reilianum localized to the extracellular hyphal space. Transgenic Arabidopsis (Arabidopsis thaliana)-expressing green fluorescent protein-SAD1 displayed an increased number of secondary rosette-leaf branches. This suggests that SAD1 manipulates inflorescence branching architecture in maize and Arabidopsis through a conserved pathway. Using a yeast (Saccharomyces cerevisiae) two-hybrid library of S. reilianum-infected maize tissues, we identified potential plant interaction partners that had a predicted function in ubiquitination, signaling, and nuclear processes. Presence of SAD1 led to an increase of the transcript levels of the auxin transporter PIN-FORMED1 in the root and a reduction of the branching regulator TEOSINTE BRANCHED1 in the stalk. This indicates a role of SAD1 in regulation of apical dominance by modulation of branching through increasing transcript levels of the auxin transporter PIN1 and derepression of bud outgrowth
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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