1,720,957 research outputs found
A Modular Approach to Automatic Question Generation: Leveraging Large Language Models for Adaptive Learning
No full textThis study introduces a modular framework for automated question generation, designed to
address the limitations(include rigid structure, lack of flexibility, inability to handle diverse
question types, reliance on static evaluation metrics, and insufficient adaptability to unstructured
input formats) of traditional end-to-end models by integrating distinct agents for analysis,
generation, evaluation, and refinement. The proposed model emphasizes alignment with
educational objectives, supporting diverse question types, such as numerical and free-format
text, while producing context-specific answers aligned with learning outcomes. Unlike existing
models, which often rely on static evaluation metrics and structured datasets, this framework
incorporates an iterative optimization process with an automated feedback to refine question
quality. By ensuring feedback-driven question relevance and diversity, the model demonstrates
adaptability across domains and unstructured input formats. Experimental results highlight
its potential to enhance educational assessments, personalized learning, and intelligent tutoring
systems. This work combines modular design, which separates the task into specialized agents,
with dynamic optimization, which continuously improves the process based on real-time feedback.
The modular design enables learning and improvement, while the dynamic optimization
process ensures that the questions are more contextually relevant and pedagogically sound,
setting a foundation for future advancements in question generation systems
DocForgeryDetect: A Neural Network for Detecting Forged Document Images
No full textThe rise of document forgery poses significant challenges to security and trust in digital and
physical domains. To address this issue, we propose DocForgeryDetect, a dual-stream neural
network designed to detect forged document images by leveraging complementary information
from both RGB features and frequency-domain DCT features.Trained on diverse document image
data, DocForgeryDetect effectively detects subtle inconsistencies and tampering artifacts.
Experimental results show its effectiveness in detecting subtle tampering, even under noise.
This work provides a reliable and efficient solution for document authenticity verification, with
potential applications in fraud detection, digital forensics, and secure document management
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
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Living in the world of Nucleic Acid Medicine, the Cinderella Molecules
No full textPlease click Additional Files below to see the full abstrac
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