Miracle-dz/UniFAR-FTUs huggingface dataset:
Droplet evaporation on a heated structured wall

Evaporation of water droplets on a structured surface is studied experimentally. With an increase in the wall temperature Tw from 28-70 °С the exponent n increases from 1-1.37 in the evaporation law (j = dm/dt ~ R0, where m is the droplet mass and R0 is the droplet radius). Usually, researchers simulating droplet evaporation consider a linear relationship between the evaporation rate, j, and the droplet radius, R0 (n = 1). This paper shows an increase of the exponent, n, with a growth of the wall temperature, Tw. The diffusion vapor layer on the droplet interface and the boundary air layer on the surface of the heated cylinder with a diameter exceeding the droplet’s one are formed. A neglect of free convection more than five times underestimates calculation results compared with experimental data. At droplet evaporation it is necessary to take into account convection in a vapor-gas medium and wall roughness.
Inequality Measurement and Goodness-of-Fit

AbstractThis paper uses inequality-measurement techniques to assess goodness of –tin income-distribution models. It exposes the shortcomings of the use ofconventional goodness of –t criteria in the estimation of income and wealthdistributions, and proposes a new set of criteria, and new metrics, based ongeneralised entropy measures. A number of experiments reveal that conven-tional –t criteria, as in the case of the Kolmogrov-Smirnov, Anderson-Darlingor the Cramer von Mises statistics result in worse –t than metrics based onsome basic (generalised entropy) measures of inequality. This is revealed tobe because of conventional (distance based) goodness-of-–t measures beingbased on the Euclidean concept of distance, thus giving equal weight to partsof the distribution in which one is not so interested. We then propose a set ofconditional entropy metrics, (as opposed to distance measures), as an alter-native set of measures. The proposed metrics are compared against a set ofdistributional-change axioms already established in the inequality literature(Cowell, Review of Econ Studies 1985).
Reconhecimento e preferência de pré-escolares por alimentos regionais após um Programa de Educação Alimentar e Nutricional

Objetivo: Avaliar o impacto de um programa de educação alimentar e nutricional sobre o reconhecimento e a preferência de alimentos regionais com pré-escolares. Métodos: Trata-se de um estudo de intervenção não controlado realizado em duas escolas filantrópicas localizadas em Aracaju, Sergipe com 188 pré-escolares. O programa teve duração de um ano, envolvendo atividades educativas lúdicas, mensais e semanais, com foco em quatro alimentos regionais. O reconhecimento foi avaliado por entrevista individual e as preferências por alimentos regionais foram avaliadas pelo método da Escala hedônica facial bifurcada de 5 pontos. Foram avaliadas as diferenças entre faixa etária e sexo. Resultados: Observou-se aumento no reconhecimento e nas preferências alimentares das crianças. Com relação ao reconhecimento, verificou-se resultados positivos para o sexo feminino sendo a couve refogada (p<0,046) e a laranja in natura (p<0,039) os alimentos com melhores resultados após as intervenções, e para crianças com faixa etária de 5 a 6 anos. Já para as preferências alimentares, os resultados foram similares para todos os alimentos entre os sexos e faixas etárias, exceto para couve que obteve melhores resultados para o sexo masculino (p<0,046). Conclusão: O programa escolar mostrou mudanças positivas no reconhecimento e preferências alimentares de alimentos regionais, mostrando a importância das estratégias de educação alimentar e nutricional com crianças no ambiente escolar.
Magnetoplasmonic control of plasmonic vortices

We theoretically investigate the generation of far-field propagating optical beams with a desired orbital angular momentum by using an archetypical magnetoplasmonic tip surrounded by a gold spiral slit. The use of a magnetic material can lead to important implications once magneto-optical activity is activated through the application of an external magnetic field. The physical model and the numerical study presented here introduce the concept of magnetically tunable plasmonic vortex lens, namely a magnetoplasmonic vortex lens, which ensures a tunable selectivity in the polarization state of the generated nanostructured beam. The presented system provides a promising platform for a localized excitation of plasmonic vortices followed by their beaming in the far-field with an active modulation of both light's transmission and helicity.We theoretically investigate the generation of far-field propagating optical beams with a desired orbital angular momentum by using an archetypical magnetoplasmonic tip surrounded by a gold spiral slit. The use of a magnetic material can lead to important implications once magneto-optical activity is activated through the application of an external magnetic field. The physical model and the numerical study presented here introduce the concept of magnetically tunable plasmonic vortex lens, namely a magnetoplasmonic vortex lens, which ensures a tunable selectivity in the polarization state of the generated nanostructured beam. The presented system provides a promising platform for a localized excitation of plasmonic vortices followed by their beaming in the far-field with an active modulation of both light's transmission and helicity.
Mathematical methods for magnetic resonance based electric properties tomography

Magnetic resonance-based electric properties tomography (MREPT) is a recent quantitative imaging technique that could provide useful additional information to the results of magnetic resonance imaging (MRI) examinations. Precisely, MREPT is a collective name that gathers all the techniques that elaborate the radiofrequency (RF) magnetic field B1 generated and measured by a MRI scanner in order to map the electric properties inside a human body. The range of uses of MREPT in clinical oncology, patient-specific treatment planning and MRI safety motivates the increasing scientific interest in its development. The main advantage of MREPT with respect to other techniques for electric properties imaging is the knowledge of the input field inside the examined body, which guarantees the possibility of achieving high-resolution. On the other hand, MREPT techniques rely on just the incomplete information that MRI scanners can measure of the RF magnetic field, typically limited to the transmit sensitivity B1 . In this thesis, the state of art is described in detail by analysing the whole bibliography of MREPT, started few years ago but already rich of contents. With reference to the advantages and drawbacks of each technique proposed for MREPT, the particular implementation based on the contrast source inversion method is selected as the most promising approach for MRI safety applications and is denoted by the symbol csiEPT. Motivated by this observation, a substantial part of the thesis is devoted to a thoroughly study of csiEPT. Precisely, a generalised framework based on a functional point of view is proposed for its implementation. In this way, it is possible to adapt csiEPT to various physical situations. In particular, an original formulation, specifically developed to take into account the effects of the conductive shield always employed in RF coils, shows how an accurate modelling of the measurement system leads to more precise estimations of the electric properties. In addition, a preliminary study for the uncertainty assessment of csiEPT, an imperative requirement in order to make the method reliable for in vivo
Spillover Effects of Black Teachers on White Teachers' Racial Competency: Mixed Methods Evidence from North Carolina

The US teaching force remains disproportionately white while the student body grows more diverse. It is therefore important to understand how and under what conditions white teachers learn racial competency. This study applies a mixed-methods approach to investigate the hypothesis that Black peers improve white teachers’ effectiveness when teaching Black students. The quantitative portion of this study relies on longitudinal data from North Carolina to show that having a Black same-grade peer significantly improves the achievement and reduces the suspension rates of white teachers’ Black students. These effects are persistent over time and largest for novice teachers. Qualitative evidence from open-ended interviews of North Carolina public school teachers reaffirms these findings. Broadly, our findings suggest that the positive impact of Black teachers’ ability to successfully teach Black students is not limited to their direct interaction with Black students but is augmented by spillover effects on early-career white teachers, likely through peer learning
Dental Stem Cells: classification and applications

In the last decades, the term stem cells has been one of the main topics to be discussed due to its scientific and medical importance, since its implementation in the field of medicine offers us very promising alternatives in the treatment and above all solution of diseases such as diabetes, Alzheimer, Parkinson's disease, cancer, in treatments of traumatology and orthopedics, transplants, oral surgery, as well as the reconstruction of organs and tissues including those of dental origin, among others. Stem cells are undifferentiated cells characterized by their great capacity for self-renewal, clonality and differentiation; they are present in the embryonic and adult stages of life in human beings. At present, a large number of sources of mesenchymal stromal cells (MSC) in the oral cavity are classified into eight main populations, which are very easy to obtain for the dental team, including: dental pulp, exfoliated primary teeth, dental follicle, dental germ, apical papilla, periodontal ligament, gingiva and periosteum. The objective of the following review is to show the panorama of the research from its origin, generalities, classification and application of this group of cells, since in spite of the advances in stem cell biology, some ethical controversies, as well as tumor formation and rejection limit their usefulness. That is why in this review we carefully describe the potential of dental stem cells to differentiate into osteoblasts, osteocytes, odontoblasts, chondrocytes, adipocytes and neural cells.
Closed-Form Solution to the Multichannel Wiener Filter With Interaural Level Difference Preservation

This article presents a multichannel Wiener filter (MWF) based noise reduction method with preservation of the interaural level difference (ILD). It minimizes the MWF cost function subject to two constraints for ILD preservation. Under this approach, the weighting coefficient that establishes the trade-off between noise reduction and binaural cue preservation takes a physical interpretation, facilitating its design. The proposed approach results in a convex optimization problem that admits a computationally efficient semi-analytical closed-form solution. Simulation experiments in hearing aid applications were performed considering practical acoustic scenarios. Considering an appropriate set of control parameters, the average performance of the proposed method preserves the ILD of a single interfering source in the same way as the conventional MWF-ILD, keeping the same level of noise reduction as the classic MWF, with approximately the same amount of speech ILD distortion. The proposed method is particularly interesting for implementing real-time noise reduction methods in binaural hearing aids.
Reduced Readmission and Increased Patient Satisfaction in Post–Cardiac Arrhythmia Ablation

Background: Hospital readmissions within 30 days post–cardiac arrhythmia ablation are typically related to postoperative complications and arrhythmia recurrence and considered mostly preventable. Purpose: To evaluate the impact of a cardiac ablation patient education program on hospital readmissions and patient satisfaction. Methods: An education intervention was established for patients who underwent cardiac ablation based on the Project RED framework. Hospital readmissions rates 30 days postprocedure and satisfaction via a single-blinded posttest design were assessed to evaluate the program. Results: Those in the intervention group had a significantly lower rate of 30-day readmissions (7.1% vs 53.3%, P = .014). A large magnitude of effect and higher total patient satisfaction scores were also seen in the intervention group (M = 633, SD = 78) than in the control group (M = 508, SD = 137, P = .005). Conclusions: Results of this study support the implementation of an enhanced cardiac arrhythmia patient education intervention with consideration of identified facilitators and barriers.
СТОМАТОЛОГІЯ / DENTISTRY

The article deals with the problem of providing comprehensive dental, orthodontic care to children with hearing impairments. An analysis of the orthodontic problem of children with hearing impairments has been performed. There is a high prevalence of bite anomalies in Ukrainian children with censoriousness hearing loss. Thus, the prevalence of hearing loss and deformities in children with hearing impairment in Ukraine is 100%. The most com - mon bite pathology in deaf children is the 1st class according to Angle (70.50%). Caries occurs in 77.05% and in - creases with age. Only one fifth of children with hearing impairment (19.67%) did not detect abnormalities in the attachment of soft tissue. In 94.74% of cases
Extended functionalities of paper-based analytical devices using hydrogels for biomedical applications

Paper-based analytical devices are a strong candidate for development due to the global need for accurate, easy-to-use, and cost-effective tools. Paper offers potential as a substrate for biomedical diagnostic devices, but on its own it is limited in versatility. By combining paper with hydrogel, researchers are able to improve automation, sensitivity, affordability, flexibility, and speed. Hydrogel, a highly biocompatible material, enhances fluid flow control and the biocompatibility of paper for functional interaction with biomolecules. Hydrogel-coated paper has been utilized for various applications, including separation and detection, microfluidics, and cell culture. Here we summarize the paper-based analytical tools with hydrogel incorporated into the paper substrate for biomedical purposes. The use of hydrogel-coated paper offers new opportunities for advanced analytical tools with improved sensitivity and functionality.
Spin current generation by ultrafast laser pulses in ferromagnetic nickel films

A semiclassical phase-space model is used to study the ultrafast charge and spin dynamics in thin ferromagnetic ﬁlms. Both itinerant and localized magnetism are taken into account. It is shown that an oscillating spin current can be generated in the ﬁlm via the application of a femtosecond laser pulse in the visible range.
Analisa Performa MPPT Algoritma Flower Pollination Alghorithm dan Perthurb and Obserbve Menggunakan Zeta Converter

Indonesia merupakan negara tropis yang memiliki intensitas cahaya matahari yang cukup tinggi dibanding dari negara lain. Sehingga, Indonesia memiliki potensi yang tinggi dalam pemanfaatan energi alternatif berupa energi surya. Energi surya merupakan energi yang berkelangsungan yang dapat kita manfaatkan terus menerus. Sehingga pemanfaatan energi surya cukup banyak dan salah satunya pemanfaatan untuk kelistrikan. Daya yang dihasilkan dari panel surya sangat dipengaruhi dari kondisi lingkungan dan cuaca. Sehingga untuk memaksimalkan daya keluaran pada panel surya maka digunakanlah MPPT (Maximum Power Point Tracking). Banyak sekali metode – metode yang digunakan untuk MPPT dan salah satunya adalah MPPT dengan metode Flower Pollination Alghorithm. Metode MPPT yang digunakan akan diterapkan pada Zeta Converter untuk mengatur daya yang dikeluarkan dari panel surya. Algortima dari metode MPPT yang digunakan dibangun pada C-Code pada simulasi software PSIM. Dari hasil sistem yang dibangun menggunakan kedua metode MPPT tersebut, akurasi dan waktu tracking yang dihasilkan oleh metode MPPT FPA sebesar 99,97% dan 0,186 detik. Sedangkan metode MPPT P&O memiliki akurasi dan waktu tracking sebesar 99,88% dan 0,745 detik. Dari bentuk gelombang kedua metode tersebut, MPPT dengan metode P&O terdapat osilasi daya pada titik maksimum, sedangkan MPPT dengan metode FPA tidak terjadi osilasi. Dari hasil tersebut dapat diketahui keunggulan MPPT dengan metode Flower Pollination Alghorithm memiliki respon waktu tracking yang cepat, akurasi yang tinggi, dan tidak menghasilkan osilasi daya pada titik maksimum dibandingkan MPPT dengan metode konvensional seperti P&O.Kata kunci : Energi Alternatif, Panel Surya, FPA, P&O, MPPT
Strategi Promosi Wisata Kebun Kopi Senaru Melalui Vidio Virtual Guiding (Senaru Coffee Plantation Tourism Promotion Strategy Through Virtual Guiding Video)

Desa Senaru merupakan salah satu desa yang terletak di kaki Gunung Rinjani, tepatnya di Kecamatan Bayan, Kabupaten Lombok Utara. Desa Senaru memiliki 15 dusun dengan budaya dan adat istiadat yang masih kental dan salah satu dari 99 desa wisata dari 10 kabupaten/ kota yang berada di Nusa Tenggara Barat. Kebun kopi Senaru adalah salah satu tempat wisata yang berpotensi untuk dikembangkan. Kebun kopi yang terletak di dataran tinggi menampilkan pemandangan hutan dan air terjun Tiu Kelep. Kendala yang dihadapi oleh Desa Senaru adalah minimnya promosi wisata Kebun Kopi Senaru, khususnya potensi tentang tanaman obat di tempat tersebut. Alternatif solusi yang dapat dilakukan untuk mengatasi hal tersebut yaitu dengan membuat video promosi dengan konsep virtual guiding. Tujuan dari kegiatan ini agar video promosi yang dibuat dapat tersampaikan untuk wisatawan lokal maupun wisatawan internasional. Langkah pertama dalam persiapan pembuatan video adalah menyiapkan informasi tentang wisata kebun kopi Senaru. Informasi yang diberikan meliputi lokasi, fasilitas pendukung, view utama yang tampak dari ketinggian kebun kopi serta tanaman-tanaman yang berpotensi sebagai tanaman obat. Metode yang digunakan adalah tahap persiapan pembuatan naskah, persiapan peralatan penunjang pembuatan video, pengambilan video, serta pengeditan. Kegiatan ini dapat berjalan dengan baik dan dapat memberikan wawasan dan pengetahuan bagi para wisatawan lokal maupun internasional tentang potensi tanaman obat yang ada di Kebun Kopi Senaru dan keindahan pemandangan di kebun kopi Senaru. Hasil kegiatan ini adalah sebuah video yang memandu penonton untuk menikmati keindahan alam di wisata kebun kopi Senaru. Vidio vitual guiding telah diunggah pada laman youtube, dan dapat disaksikan pada https://www.youtube. com/watch? v=eiGm9rJPxjw
Fractional order model reference adaptive control for anesthesia

The design of a fractional order model reference adaptive control for anesthesia based on a fractional order model is proposed in the paper. This model gets around many difficulties in controller designs based on the pharmacokinetic/pharmacodynamic model, commonly used for anesthesia for theses purposes, and allows to design a simple adaptive controller with stability and positivity of the system ensured via Lyapunov analysis. Also, the convergence of the tracking error to zero is established by applying an extension of the Barbalat lemma, proven in the paper. Simulations illustrate the effectiveness and robustness of the proposed control.
Tests of human auditory temporal resolution: preliminary investigation of ZEST parameters for amplitude modulation detection

Auditory temporal resolution plays a critical role in the everyday experience of listening to complex acoustic patterns. Amplitude modulation detection thresholds are widely used to measure auditory temporal resolution. In an attempt to develop a standardized clinical test of auditory temporal resolution, we used ZEST (Zippy Estimation by Sequential Testing, a Bayesian threshold estimation procedure, to measure amplitude modulation detection thresholds. ZEST utilizes prior knowledge about a listener’s thresholds, as represented by a probability density function of the thresholds, and psychometric functions of the listener’s responses. This paper reports a preliminary study in which ZEST parameters that could be used for measurements of amplitude modulation detection thresholds were sought. For this purpose, we created histograms of the detection thresholds for a wide range of modulation frequencies, measured the psychometric functions of amplitude modulation detection, and performed computer simulations of ZEST threshold estimation. The results suggested that, with appropriately-set parameters, ZEST allows for the accurate estimation of amplitude modulation detection thresholds within 20 trials.
IMPLEMENTATION OF TECHNOLOGY FOR IMPROVING THE QUALITY OF SEGMENTATION OF MEDICAL IMAGES BY SOFTWARE ADJUSTMENT OF CONVOLUTIONAL NEURAL NETWORK HYPERPARAMETERS

Background. The scientists have built effective convolutional neural networks in their research, but the issue of optimal setting of the hyperparameters of these neural networks remains insufficiently researched. Hyperparameters affect model selection. They have the greatest impact on the number and size of hidden layers. Effective selection of hyperparameters improves the speed and quality of the learning algorithm. It is also necessary to pay attention to the fact that the hyperparameters of the convolutional neural network are interconnected. That is why it is very difficult to manually select the effective values of hyperparameters, which will ensure the maximum efficiency of the convolutional neural network. It is necessary to automate the process of selecting hyperparameters, to implement a software mechanism for setting hyperparameters of a convolutional neural network. The author has successfully implemented the specified task. Objective. The purpose of the paper is to develop a technology for selecting hyperparameters of a convolutional neural network to improve the quality of segmentation of medical images. Methods. Selection of a convolutional neural network model that will enable effective segmentation of medical images, modification of the Keras Tuner library by developing an additional function, use of convolutional neural network optimization methods and hyperparameters, compilation of the constructed model and its settings, selection of the model with the best hyperparameters. Results. A comparative analysis of U-Net and FCN-32 convolutional neural networks was carried out. U-Net was selected as the tuning network due to its higher quality and accuracy of image segmentation. Modified the Keras Tuner library by developing an additional function for tuning hyperparameters. To optimize hyperparameters, the use of the Hyperband method is justified. The optimal number of epochs was selected - 20. In the process of setting hyperparameters, the best model with an accuracy index of 0.9665 was selected. The hyperparameter start_neurons is set to 80, the hyperparameter net_depth is 5, the activation function is Mish, the hyperparameter dropout is set to False, and the hyperparameter bn_after_act is set to True. Conclusions. The convolutional neural network U-Net, which is configured with the specified parameters, has a significant potential in solving the problems of segmentation of medical images. The prospect of further research is the use of a modified network for the diagnosis of symptoms of the coronavirus disease COVID-19, pneumonia, cancer and other complex medical diseases.