20 December 2020
The attention to pupil diversity is still considered one of the main issues to solve in the current educational system. The objective of the study was to establish and analyze the differences between the knowledge and the use of ordinary and extraord...
28 May 2020
(1) Background: Attention to diversity constitutes an aspect that influences system quality and offers a perspective of the capacity of educational centres to respond to educational needs. The present study carried out an examination of the perceptio...
Multi-head attention, a powerful strategy for Transformer, is assumed to utilize information from diverse representation subspaces. However, measuring diversity between heads’ representations or exploiting the diversity has been rarely studied. In th...
Person re-identification (Re-ID) networks are often affected by factors such as pose variations, changes in viewpoint, and occlusion, leading to the extraction of features that encompass a considerable amount of irrelevant information. However, most...
Facial expressions exhibit inherent similarities, variability, and complexity. In real-world scenarios, challenges such as partial occlusions, illumination changes, and individual differences further complicate the task of facial expression recogniti...
Teachers need to be prepared to attend to all learners regardless of their abilities or needs. This implies that future teachers must develop, throughout their initial training, the necessary competencies to provide inclusive education to all student...
Research on teachers’ perceptions about diversity is key to understanding the different approaches to be implemented to build inclusive education. Within this framework, the perceptions and attitudes of 73 students in the Mathematics specialization o...
4 October 2021
It is necessary for the university environment to contribute to the improvement of the attention paid to affective-sexual, bodily, and gender diversity. This research deals with how, by means of a teaching innovation program, competences for affectiv...
The ubiquity of smartphones equipped with multiple sensors has provided the possibility of automatically recognizing of human activity, which can benefit intelligent applications such as smart homes, health monitoring, and aging care. However, there...
This study, which is part of a broader research project, aims to investigate the impact of the initial training received by students in the Master’s Degree in Secondary Education and Baccalaureate, Vocational Training, and Language Teaching (MD...
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition. Growing evidence suggests that the gut–brain axis may contribute to its pathophysiology. However, findings regarding gut microbiota alterations in ADHD re...
Since introducing the Transformer model, it has dramatically influenced various fields of machine learning. The field of time series prediction has also been significantly impacted, where Transformer family models have flourished, and many variants h...
23 January 2023
Training in Information and Communication Technologies (ICTs) has become very valuable in the current educational panorama, given the proliferation of digital resources available in the formal and non-formal education context. Fortunately, the field...
Rural building automatic extraction technology is of great significance for rural planning and disaster assessment; however, existing methods face the dilemma of scarce sample data and large regional differences in rural buildings. To solve this prob...
Unlike conventional natural (RGB) images, the inherent large scale and complex structures of remote sensing images pose major challenges such as spatial object distribution diversity and spectral information extraction when existing models are direct...
This article aims to show the role of educational counselors both as promoters of cultural management and as mentors for attention to diversity. A qualitative methodology and ethnographic approach have been implemented. In-depth interviews with couns...
29 March 2023
Educational inspection, as an essential part of the current educational environment, supports its mission through more pragmatic and comprehensive processes, techniques, and models, which guarantee the right of students to quality education. The aim...
Generative artificial intelligence (AI) can alter final second-language (L2) texts, yet cognitive differences may shape which changes emerge. This exploratory study examined 38 upper-intermediate learners of Russian who each produced one composition...
Accurate traffic flow prediction is essential to building a smart transportation city. Existing research mainly uses a given single-graph structure as a model, only considers local and static spatial dependencies, and ignores the impact of dynamic sp...
Deep learning has shown promise in tabular data modeling, yet challenges such as feature heterogeneity, sparse interactions, and expert prediction collapse remain unresolved. To address these issues, we propose DETTab (Diversity-Enhanced Tabular Expe...
The development of online investor–firm interaction platforms has transformed listed firms from relatively closed organizations into digital open systems, enabling continuous information exchange with external stakeholders through these online...
20 June 2023
The double vulnerability of women with disabilities places them at the center of this research paper. Intersectionality is key in research on gender-based violence. This study analyzes the perspective of the victims and non-victims themselves on this...
(1) Background: In contemporary classrooms, student diversity demands innovative pedagogical tools, yet popular music remains underutilized in teacher preparation. This study examines the association between specific training in popular music and the...
Background: Developing and testing methods for reliably measuring the state of consciousness of individuals is important for both basic research and clinical purposes. In recent years, several promising measures of consciousness, grounded in theoreti...
In December 2019, the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in China with serious impacts on global health and economy that is still ongoing. Although interspecies transmission of coronaviruses is commo...
Background: Bibliometric comparisons can describe highly cited literature but do not represent the full output of a discipline. The NIH-supported Relative Citation Ratio (RCR) field- and time-normalizes citation rates, while the Altmetric Attention S...
Melanoma is a lethal skin cancer. In its diagnosis, skin lesion segmentation plays a critical role. However, skin lesions exhibit a wide range of sizes, shapes, colors, and edges. This makes skin lesion segmentation a challenging task. In this paper,...
Since side-effects of drugs are one of the primary reasons for their failure in clinical trials, predicting their side-effects can help reduce drug development costs. We proposed a method based on heterogeneous graph transformer and capsule networks...
Pseudogymnoascus is a psychrophilic fungus, which is a genus widely distributed in cold regions around the world. Recently, the presence of Pseudogymnoascus destructans (Pd), the causative agent of white-nose syndrome (WNS) belonging to Pseudogy...
Zelkova abelicea is an endemic tree species growing in several localities in the mountainous regions of Crete, Greece. To date, the microarthropod species associated with this tree species have not been identified. Since Z. abelicea populations are i...
Under the background of continuous breakthroughs in the spatial resolution of satellite remote sensing technology, high-resolution remote sensing images have become a frontier data source for intelligent inspection research of power infrastructure. T...
During the COVID-19 pandemic, teachers had to adapt to the changes caused by remote working, experiencing prolonged stress situations that together with psychosocial factors can lead to burnout and psychosomatic health problems. This study focused on...
10 June 2022
In this study, a descriptive bibliometric analysis of the scientific production was performed in the Web of Science on burnout and/or stress in teachers in pandemic situations. The aim of the study was to analyse the scientific production on stress a...
Training-free video summarization tackles the challenge of selecting the most informative keyframes from a video without relying on costly training or complex deep models. This work introduces C2FVS-DPP (Contextual Feature Fusion Video Summarization ...
Accurate tomato maturity detection is critical for optimizing key agricultural operations in precision agriculture, including harvesting, grading, and quality control. Despite advances in deep learning and machine vision, reliable detection in real-w...
Rapid advancement of wireless communication systems and the increasing need for accurate, real-time signal processing have driven innovations in direction-of-arrival (DoA) estimation techniques. This paper introduces a novel convolutional neural netw...
Information and Communication Technologies (ICTs) are increasingly necessary in the educational context. Digital resources could support socio-educational practices to intervene with vulnerable groups, such as people with disabilities, and improve th...
As one of the protagonists in education, the perspective of the students is fundamental in the determination of inclusive education in an educational center. The Index for Inclusion is an instrument and strategy for self-evaluation. One of their ques...
6 May 2020
The perspective from the parents of non-university students is essential in determining inclusive education in a school. The Index of Inclusion is one of the most widely used self-assessment tools and strategies to help teaching teams self-assess the...
Cooperative attention provides a new method to study how epidemic diseases are spread. It is derived from the social data with the help of survey data. Cooperative attention enables the detection possible anomalies in an event by formulating the spre...
In a climate of increasing multiculturalism in education, classrooms have become more diverse, offering educators and institutions both opportunities and challenges. In response to changing advancements and trends in education, school administrators...
Imaging has been an important strategy for exploring space weather. The Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) is a joint Chinese Academy of Sciences (CAS) and European Space Agency (ESA) mission, aiming at studying the interaction...
Designing and implementing inclusive practices is considered one of the basic actions for the construction of inclusive education. Actions depend largely on teachers’ attitudes, which can be modified by the training they receive. This study ana...
Conventional trajectory planning for lower limb assistive devices usually relies on a finite-state strategy, which pre-defines fixed trajectory types for specific gait events and activities. The advancement of deep learning enables walking assistive...
Recent research on single image super-resolution (SISR) using convolutional neural networks (CNNs) with the utilization of residual structures and attention mechanisms to utilize image features has demonstrated excellent performance. However, previou...
Attention defined as focusing on a unit of information plays a prominent role in both consciousness and the cognitive unconscious, due to its essential role in information processing. Existing theories of consciousness invariably address the relation...
Detecting pedestrians in varying illumination conditions poses a significant challenge, necessitating the development of innovative solutions. In response to this, we introduce Prior-AttentionNet, a pedestrian detection model featuring a Prior-Attent...
The uncertain responses of aboveground net primary productivity (ANPP) and plant diversity to climate warming and increased precipitation will limit our ability to predict changes in vegetation productivity and plant diversity under future climate ch...
With the widespread adoption of mobile reading across diverse scenarios, understanding environmental impacts on attention has become crucial for reading performance optimization. Building upon this premise, the study examined the impacts of different...
To improve semantic segmentation performance for complex urban remote sensing images with multi-scale object distribution, class similarity, and small object omission, this paper proposes MFPI-Net, an encoder–decoder-based semantic segmentation...
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