La tecnología como complemento al proceso de enseñanza-aprendizaje de la flauta dulce en la etapa de Educación Primaria / Technology as a complement to the teaching-learning proces... by Paloma Bravo-Fuentes

“…The students have a group class per week of no more than one hour in duration, being a complex that performs a real individualization of the learning process. After the collective class, the students have to practice at home alone, with the responsibility for their progress in the study falling on themselves.This work proposes the inclusion of a digital tool as a complement to the deficiencies that the teaching-learning process of the instrument presents, as well as a proposal for a study protocol to be followed by the student in their autonomous progress.TThe objective of the computer application is to offer the possibility of listening to the musical piece, showing the score, recording the performances and, finally, providing references and data on the mistakes made, both to the students and to the teaching figure. …”
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Uso de um esquema implícito e de splines para a simulação numérica do processo de resfriamento de frutas esféricas Use of an implicit scheme and splines for the numerical simulatio... by Mariângela Amendola, Bárbara Teruel

“…The implicit Finite Differences Method (FDM) implemented in the computational environment Matlab 6.1 was used, analysing and comparing the main results by the spline method. …”
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PET imaging of tissue reactions in the implanted cochlea: results of a pilot study by Philipp Deutsch, Philipp Deutsch, Jens P. Bankstahl, Martin Mamach, Michael Willmann, Frank M. Bengel, Thomas Lenarz, Thomas Lenarz, Thomas Lenarz, Georg Berding, Georg Berding, Verena Scheper, Verena Scheper, Verena Scheper, Jana Schwieger, Jana Schwieger

“…The present study investigates molecular processes in a guinea pig model of cochlear implant (CI) using positron emission tomography/computed tomography (PET/CT) and correlates the imaging findings with histological analyses.MethodsAnimals were examined with PET in the 3 weeks and 9–12 months post-implantation using the inflammation marker [18F]FDG and, at the later time points, [68Ga]FAPI-46 as a marker for fibrosis. …”
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Transformer-Based Approach for Solving Mathematical Problems Using Automatic Speech Recognition by Ante Grgurevic, Marina Bagic Babac

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Enhancing Imperceptibility: Zero-width Character-based Text Steganography for Preserving Message Privacy by Saqib Ishtiaq, Naveed Ejaz, Muhammad Usman Hashmi, Syed Imran Hussain Shah

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Analysis of thermal stability of the internal structure of Ag-Cu nanoparticles by A.A. Cherepovskaya, S.L. Gafner, Yu.Ya. Gafner, D.A. Ryzhkova

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Innovative Metal Powder Production Using CFD with Convergent-Divergent Nozzles in Wire Arc Atomization by Matee Sukkee, Phanphong Kongphan

“…This study aims to enhance the production of metal powders using a novel approach that integrates computational fluid dynamics (CFD) with convergent-divergent (C-D) nozzles in wire arc spraying atomization (WASA). …”
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Elite Episode Replay Memory for Polyphonic Piano Fingering Estimation by Ananda Phan Iman, Chang Wook Ahn

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Collective Praxis, Collaborative Publishing: The Case of the Data-Sitters Club by Anouk Lang, Katherine Bowers, Lee Bessette, Maria Sachiko Cecire, Quinn Dombrowski, Roopika Risam

“…The Data-Sitters Club (https://datasittersclub.github.io/site/index.html) is a pedagogical resource consisting of “books” that explore themes and methods from digital humanities and computational text analysis in colloquial and accessible ways, using Ann M. …”
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Hackathons as experiential learning platforms for engineering design skills by Ricardo Sotaquirá-Gutiérrez, Luis Miguel Beltran, Juan Pablo Garzon Ruiz

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Effect of inlet and baffle position on the removal efficiency of sedimentation tank using Flow-3D software by Ali Poorkarimi, Khaled Mafakheri, Shahrzad Maleki

“…Sedimentation due to gravitation is applied widely in water and wastewater treatment processes to remove suspended solids. This study outlines the effect of the inlet and baffle position on the removal efficiency of sedimentation tanks. …”
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Distribution matters: Long-term quantification of the Sustainable Development Goals with household detail for different socio-economic pathways by Rienne Wilts, Wolfgang Britz

“…SDGs are multi-dimensional and require detail beyond an aggregate household approach to assess income inequality and other differences across households in transformative processes. Incorporating these aspects, we develop an SDG indicator framework for dynamic Computable General Equilibrium Models with a total of 68 endogenous indicators related to 15 SDGs. …”
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Assessment of the association between C2 vertebral morphology and facial asymmetry using CBCT and panoramic radiography by Çağan Erkman Şaylan, Mehmet Birol Özel, Alican Kuran, Enver Alper Sinanoğlu

“…Abstract Purpose To investigate the relationship between the morphology of the Axis (C2 vertebra) and facial asymmetry using cone-beam computed tomography (CBCT) and panoramic radiographs. …”
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Deep Learning based Models for Drug-Target Interactions by Ali K. Abdul Raheem, Ban N. Dhannoon

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Peducing the frequency of switching overvoltage in generator networks by R. A. Belsky, V. Y. Frolov, R. I. Zhiligotov, E. P. Safonov

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Water distribution and association in plant vessels and soil pores in a shrub-encroached grassland by Ruizhe Wang, Jialu Zhang, Yuanming Wang, Xia Hu

“…Despite their significant role in water processes, how soil pores and vessels are linked associated with water, is unclear. …”
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A Comparative Study of One‐Step and Multi‐Step Numerical Methods for Solving Ordinary Differential Equations in Water Tank Drainage Systems by Abebe Alemu Wendimu, Radek Matušů, František Gazdoš, Ibrahim Shaikh

“…The analysis focuses on accuracy, stability, computational efficiency, and optimal step size selection. …”
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Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems by Mudassir Shams, Bruno Carpentieri

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Incoherent Optical Neural Networks for Passive and Delay-Free Inference in Natural Light by Rui Chen, Yijun Ma, Zhong Wang, Shengli Sun

“…Optical neural networks are hardware neural networks implemented based on physical optics, and they have demonstrated advantages of high speed, low energy consumption, and resistance to electromagnetic interference in the field of image processing. However, most previous optical neural networks were designed for coherent light inputs, which required the introduction of an electro-optical conversion module before the optical computing device. …”
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