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Accurate models for early harvest estimation in citrus production generally involve expensive variables. The goal of this research work was to develop a model to provide early and accurate estimations of harvest using lo...

الملخص: أهداف البحث: يُعدّ كلٌّ من التعلّم القائم على حلّ المشكلات والتعلّم القائم على العمل الجماعي استراتيجيتين تعليم...

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...

Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

IntroductionA research gap exists regarding the association between non-optimal ambient temperature (NOAT) and early childhood development (ECD) in low- and middle-income countries (LMICs). This study investigates the as...

Infant cry paralinguistics provides a non-invasive signal for early assessment of physiological and affective states. Yet, most learning approaches implicitly assume that the mapping between acoustic patterns and semanti...

Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidney injury, is associated with poor clinical outcomes, highlighting the need for accurate prediction. In this study, we u...

Purpose – This study systematically maps global research trends on entrepreneurial readiness in vocational education from 2020 to 2025 and identifies implications for strengthening the Indonesian vocational education s...

Expression of immediate-early genes, like Egr-1, has been shown to be induced by activity-dependent synaptic plasticity or behavioral training and is widely thought to play an important role in long-term memory (LTM) for...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...

This article discusses the importance of cognitive development in early childhood as a crucial phase that establishes the foundation for subsequent learning and intellectual growth. The study emphasizes the application o...

This study explores parent perspectives on how time spent in nature and natural settings, including their own experiences with the natural world, might influence their child’s play, learning and holistic development an...

During the Covid-19 pandemic, real-time social media data could in principle be used as an early predictor of a new epidemic wave. This possibility is examined here by employing a neural ordinary differential equation (n...

Whilst common across the animal kingdom, the evolution of cannibalism remains poorly understood. Part of the problem is that the number of taxonomic groups in which the evolution of cannibalism has been studied in detail...

Durante las etapas tempranas del desarrollo, las especies altriciales necesitan de un cuidador para su supervivencia. En los mamíferos, los primeros aprendizajes se producen en el útero, a través de las claves quimios...

Intensive dairy sheep production systems, which represent a substantial and growing portion of the global livestock sector, present significant behavioral and welfare challenges for lambs. This review aims to summarize a...

Glioblastoma is the most common and aggressive primary brain tumor in adults that fails to meet survival endpoint criteria in current immunotherapy Phase III clinical trials. As a small subset of immunotherapy-responsive...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

Abstract Neoadjuvant chemotherapy (NAC) induces critical morphological and vascular changes in breast cancer tumors, yet existing deep learning techniques in medical imaging tend to neglect these longitudinal changes thr...

As culinary educators, we have a long history of teaching our craft within a hands-on master apprentice learning environment . Since the dark ages, it has been typical for the trainee chef to physically stands by the sid...

ObjectiveEarly recognition of inborn errors of immunity (IEI) is critical to avoid morbidity and irreversible organ damage. Jeffrey Modell Foundation (JMF) warning signs have long guided and still guide clinical suspicio...

History education in Indonesian primary schools has been reconfigured following the transition from the 2013 Curriculum to the Merdeka Curriculum, particularly through the shift from Social Studies (IPS) to Natural and S...