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Philosophy of Education
No full textThe Philosophy of Education investigates the epistemological, anthropological, and ethical–normative foundations of education. It examines the meaning, purposes, and conditions of possibility of educational processes, bringing to light the implicit assumptions that underlie pedagogical theories and practices. Historically developed in close dialogue with both philosophy and pedagogy, the Philosophy of Education performs a critical–metatheoretical function and, more fundamentally, a constitutive one: it seeks to clarify the formal object of education and to restore its unity and intelligibility. From this perspective, it helps to establish Pedagogy as an autonomous field of knowledge—primarily descriptive–interpretative and only thereafter practical–normative—capable of understanding education as a human phenomenon that is historically and culturally situated
Reactive Training in Enhancing Technical Performance and Modulating Cortisol Biomarkers in Competitive Soccer Players
No full textReactive training in enhancing technical performance and modulating cortisol biomarkers in competitive soccer players. J Strength Cond Res XX(X): 000-000, 2026-In soccer, the ability to perceive, process, and integrate external and internal stimuli is crucial for the development of players' technical, physical, and tactical skills. This study aimed to assess the effectiveness of an Experimental Warm-Up (EWU) protocol for enhancing soccer-specific technical and physical skills while optimizing cortisol levels in elite soccer players. Thirty-two male soccer players (age: 24.7 ± 3.1 years) from 2 elite teams were assigned to an experimental group (EG; n = 18) or a control group (CG; n = 14). During the 12 weeks, along with their regular warm-up (WU), the EG performed an EWU consisting of 4 progressive coordination exercises, 4 times per week. The CG maintained their usual WU schedule. Technical abilities were assessed pre- and postintervention using the Y-Planned and Y-React, React Index (Y-REACT minus Y-PLAN), Illinois Change of Direction with and without ball (ICODT-BALL and ICODT), Technical Index (ICODT-BALL minus ICODT), and Loughborough Soccer Shooting (SHOT) tests. Urine samples were collected before and after the 12-week intervention to measure cortisol levels. The RM-ANOVA revealed significant improvements from pre- to postassessment in the EG for the ICODT-BALL, Technical Index, Y-REACT, React Index, and SHOT (p < 0.001). These improvements were significantly greater than those in the CG. In addition, the EG showed a significant reduction in cortisol levels from pre- to postintervention (p = 0.0007) and compared with the CG (p = 0.003). These findings indicate that incorporating coordinative training into WU improves technical performance and agility in soccer, supporting better regulation of cortisol levels in elite players
SMART: a Structured Multidisciplinary Approach for building an integrated paediatric interventional radiotherapy workflow
No full textCrystalline Insights into Nasal Mucosa Inflammation and Remodeling: Unveiling Role of Galectin-10
No full textImpact of sampling frequency and signal quantization on myoelectric-based hand gesture recognition
No full textThe rapid advancement of wearable technologies has facilitated the acquisition of myoelectric signals, which are increasingly used as input for machine learning (ML) architectures to recognize human motion. However, the technical specifications of sensors and the experimental setup can significantly affect signal quality, potentially reducing the reliability of motor command recognition. This study investigates how signal quantization (ADC resolution) and sampling frequency influence the performance of myoelectric hand gesture recognition. Surface EMG was recorded with an armband during 20 gestures performed by 10 healthy subjects. Three acquisition settings were tested: 8-bit/500 Hz, 8-bit/1000 Hz, and 12-bit/500 Hz. A time-domain feature set was extracted and used to train three classifiers: linear discriminant analysis (LDA), linear support vector machine (SVM), and quadratic SVM (SVMQ). Results show that higher sampling frequency consistently improved classification accuracy, both with the full armband configuration and with a reduced sensor setup (4 channels). The linear SVM trained with the complete feature set achieved the best performance, with accuracy up to 90% using all sensors and around 80% with the minimal configuration. Even when trained with a single feature, such as mean absolute value or waveform length, the full configuration yielded accuracy above 80% across conditions. In contrast, ADC resolution had only a marginal impact on performance. Overall, the findings indicate that appropriate feature selection and sensor configuration can mitigate the effects of lower sampling rates, offering practical trade-offs between recognition accuracy and computational efficiency in wearable EMG-based systems
Electronic Portal Imaging Devices (EPID)-Based In Vivo Dosimetry for VMAT Total Body Irradiation: Feasibility and Accuracy
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