This study examines the differential effects of three dimensions of dynamic capabilities on innovation performance and investigates how ambidextrous learning (exploratory and exploitative learning) moderates these relationships. Drawing on survey dat...
This paper investigates the post-hoc calibration of confidence for “exploratory” machine learning classification problems. The difficulty in these problems stems from the continuing desire to push the boundaries of which categories have e...
With the rapid development of artificial intelligence, concerns about severe dependence on large language models (LLMs) are increasing among university students. This cross-sectional study aims to examine the underlying association between physical a...
As exploratory learning (EL) is increasingly observed with the use of large language models (LLMs), students demonstrate notably varied levels of engagement and effectiveness when they interact with such LLM-supported learning environments. However,...
Astronomy provides an exceptional context for developing data literacy, critical thinking, and computational skills in education. This paper presents a project-based learning (PBL) framework that integrates exploratory data analysis (EDA), fuzzy logi...
One method that has been proposed for the measurement of sustainability is Data Envelopment Analysis (DEA). Despite its advantages, the method has limitations: First, the efficiency of Decision-Making Units is calculated with weights that are favorab...
Smart buildings that utilize innovative technologies such as artificial intelligence (AI), the internet of things (IoT), and cloud computing to improve comfort and reduce energy waste are gaining popularity. Smart buildings comprise a range of sensor...
The paper proposes the exploratory data analysis (EDA) of Monkeypox disease using machine learning approaches. Infection with the Monkeypox virus causes the uncommon illness of Monkeypox. The Monkeypox virus is a member of the Orthopoxvirus genus, wh...
This exploratory research examines learning-process engagement in artificial intelligence (AI)-supported courses, measured through students’ self-reported attention, active participation, and thinking during class. Necessary Condition Analysis...
Background: Handgrip strength has been proposed as an objective marker of post-COVID functional impairment, but its contribution relative to fatigue and sleep quality has not been formally evaluated in Latin American populations. Methods: We conducte...
Background: Exploratory testing has been used in the industry mainly to meet the needs of agile testing processes. In an agile scenario, this testing approach is important to facilitate changes constantly, which helps agile projects successfully. One...
This exploratory research conducted a thematic analysis of students’ experiences and utilization of AI tools by students in educational settings. We surveyed 87 undergraduates from two different educational courses at a comprehensive university...
Previous research has shown that military units operating in the context of risky missions display the characteristics of a Learning Organization. The present work provides preliminary exploratory evidence about the association between Learning Organ...
Balancing the learning experience for players with diverse skill levels, particularly in multi-user learning environments, remains a challenge. Many game-based learning systems rely on static difficulty settings that do not adapt to individual abilit...
Background/Objectives: First NIBUT, Average NIBUT, and tear meniscus height (TMH) are routinely used to characterize tear film stability and tear volume at individual visits, whereas their longitudinal behavior across the hospital-attending populatio...
This study aims to reveal the obstacles to achieving quality in distance learning during the Coronavirus (COVID-19) pandemic and was based on a large sample of professors and students of universities in the Arab world (Algerian, Egyptian, Palestinian...
The Bottom of the Pyramid (BOP) market is composed of a large number of low-income groups around the world and contains huge wealth that has not yet been discovered. An exploratory multi-case study was conducted to analyze the impact of relational em...
This study presents an exploratory reinforcement learning (RL)-based simulation framework for examining antimicrobial resistance (AMR) dynamics under repeated exposure to a non-antibiotic stressor, using copper as a simplified model compound. The obj...
Recent advancements in artificial intelligence (AI) have strengthened the interaction between sports and digital technologies. However, unlike widely studied sports such as football and basketball, handball has received limited attention from the sci...
Introduction: Electronic nicotine delivery systems (ENDSs), also known as e-cigarettes or vapes, have shown popularity among the adolescent population. Compared to adults, less is known regarding the impacts of ENDS and nicotine on the adolescent bra...
Exploratory behaviour, spatial learning and memory affect the survival of animals and appear to be dependent on the specific habitat that a species occupies. Good spatial navigation and memory are particularly important for subterranean animals, as i...
To align foundational engineering education with the Sustainable Development Goals (SDGs), this study proposes a four-stage blended learning framework for Theoretical Mechanics that integrates theoretical knowledge, virtual simulation, classroom inst...
Background/Objectives: Autism Spectrum Disorder (ASD) is a set of neurological and neurodevelopmental disorders characterized by difficulties in social communication and interaction, repetitive behaviors, and sensory processing differences. Recent st...
Objectives: Previously, we identified four open-angle glaucoma (OAG)-associated autoantibodies (anti-ETNK1, anti-VMAC, anti-NEXN, and anti-SUN1) using proteome-wide autoantibody screening by wet protein arrays. The objective of this exploratory study...
In differentiated learning, the teacher needs to be aware of the learning styles of students in the classroom to accommodate specific learning preferences, e.g., the Felder–Silverman learning style model. The corresponding instrument, i.e., the...
Nowadays, Augmented Reality (AR) is one of the emerging technologies with a greater impact in the Education field. Research has proved that AR-based activities improve the teaching and learning processes. Also, the use of this type of technology in c...
Background/Objective: Periodontitis is a chronic inflammatory disease requiring reliable assessment of periodontal tissue involvement. This study investigates quantitative intraoral thermal features correlating with periodontal conditions using machi...
Continuous optimization now draws on a large and growing number of competing metaheuristic families, including differential-evolution lineages, covariance-matrix adaptation strategies, swarm-intelligence methods, and simulated annealing, yet no singl...
Ecological protection and sustainable economic development are focal points of global attention. The continuous promotion of green technology during digital transformation has made green innovation essential for reducing environmental pollution and a...
This study provides an exploratory predictive analysis to examine how different dimensions of digital infrastructure—capital market development, digital payment adoption, e-commerce penetration, and market volatility—predict the financial...
Background/Objectives: Spontaneous preterm birth (sPTB) remains a major cause of neonatal morbidity and mortality. This study aimed to characterize first-trimester plasma metabolic alterations associated with sPTB and evaluate their discriminatory po...
Drawing-centred and drawing-associated visual-representation strategies are used in anatomy and histology education, but the literature spans learner-generated drawing, guided drawing, screencasts, multisensory approaches, and model-based visual abst...
Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increas...
Project-based learning (PBL) combines student-centred learning with motor practice, but evidence on physical activity and motor performance in school physical education remains limited. This exploratory pilot study compared PBL with teacher-led instr...
Road transport is an integral part of economic activity and is therefore essential for its development. On the downside, it accounts for 30% of the world’s GHG emissions, almost a third of which correspond to the transport of freight in heavy g...
Optimizing chitosan recovery from shrimp shells is one of the most effective measures in shrimp waste management. Incorporating machine learning-based models will significantly impact the optimization process. This research aimed to evaluate the opti...
Background/Objectives: Early detection of cardiometabolic irregularities is crucial for averting cardiovascular illness; however, demographic cohorts that consistently engage with healthcare systems like habitual blood donors are inadequately leverag...
This study aims to explore the reliability, construct validity, and content validity of the Child Learning and Developmental Playful Assessment Battery (Batería de Evaluación Lúdica del Aprendizaje y Desarrollo Infantil; BELADI),...
Ensuring mathematics education for all learners, including students with blindness learning in mainstream classrooms, is crucial. This exploratory research aims to clarify the characteristics of geometric learning among students with blindness and to...
This study aimed to integrate apoptosis-associated and proliferation–apoptosis-coupled transcriptomic signatures with explainable machine learning to construct an exploratory molecular classification model for psoriasis. Transcriptomic datasets...
Universal Design for Learning (UDL) is increasingly recognised as an evidence-based framework for promoting inclusive education through flexible curriculum design. In 2015, Ghana adopted UDL in its inclusive education policy to address the diverse ed...
The rise of 5G networks is driven by increasing deployments of IoT devices and expanding mobile and fixed broadband subscriptions. Concurrently, the deployment of 5G networks has led to a surge in network-related attacks, due to expanded attack surfa...
Automated weed classification supports site-specific weed management by enabling targeted interventions and reducing environmental and operational costs. This study presents a multi-seed evaluation of six deep learning configurations—YOLO26n-cl...
In recent years, the digital transformation has been advancing in industrial companies, supported by the Key Enabling Technologies (Big Data, IoT, etc.) of Industry 4.0. As a consequence, companies have large volumes of data and information that must...
Classification methods such as exploratory factor analysis (EFA) and network community detection (NCD) are widely used to identify latent item groupings in multidimensional psychological assessments. However, direct comparisons between these approach...
The microbial fermentation of mulberry branch residues offers a potential strategy for sustainable lignocellulosic biomass valorization. This study integrated 16S rRNA gene sequencing and untargeted LC–MS metabolomics to characterize temporal m...
Background: This exploratory, non-randomized pre–post study compares three school-based stress interventions—Yoga, Climbing, and Social–Emotional Learning—in primary school children. Methods: We compared three low-threshold in...
Modelling events that change over time is one of the most difficult problems in data analysis. Forecasting of time-varying electric power values is also an important problem in data analysis. Regression methods, machine learning, and deep learning me...
We developed a laboratory-based setup to perform behavioral tests of the effect of the neonicotinoid insecticide Thiacloprid in the CALYPSO® formulation on bumblebees. This setup simulates essential components of navigation and pollination under...
This is a comment on “Exploratory Study of Sex Identification for Chicken Embryos Based on Blood Vessel Images and Deep Learning” (Jia et al [...]
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