Miracle-dz/UniFAR-FTUs huggingface dataset:
Un nuovo paradigma: impressioni sulla clinica contemporanea

Negli ultimi anni ed in particolare nell'attuale scenario post-pandemico, si evidenzia la necessità di un cambio di paradigma diagnostico per la psicologia evolutiva ed in specifico per i disturbi del neurosviluppo. Viene alla luce la necessità di definire i bisogni delle popolazioni cliniche anche in relazioni ad eventuali comorbidità in un'ottica biopsicosociale. In particolare è interessante notare che l'avvento delle nuove tecnologie ha avuto un impatto sullo sviluppo di alcune abilità cognitive specialmente nei nativi digitali. L'utilizzo di schermi virtuali, touchscreen e tecnologie digitali in maniera massiva va considerato come un elemento fondamentale nello sviluppo di nuovi profili cognitivi.
A Tailored MOOC Fostering Intercultural Conflict Management in the Educational Context: Evidence from Italy

Managing relationships between/with students is one of the main duties that teachers are asked to fulfill, which becomes even more challenging in multi-ethnic/multicultural educational contexts. Responding to the need for culturally-qualified training for school professionals and given the increasing use of Massive Open Online Courses (MOOCs)—often without evidence supporting their efficacy—this study will evaluate the potential of a tailored MOOC—designed to tackle overt/covert discrimination and foster inclusion and culturally responsive teacher–student interactions—to promote teachers’ awareness and competence in conflict management. Overall, 206 Italian teachers experienced the MOOC, of whom 99 completed the Rahim Conflict Management Inventory-II, assessing Conflict Management Styles (Integrating, Obliging, Compromising, Dominating, and Avoiding) pre- and post-MOOC. Potential changes in the adoption of Conflict Management Styles after completing the MOOC were evaluated. After completing the MOOC, there was a reduction in teachers’ recourse to the Avoiding and Obliging styles and, of note, more informed/targeted use of the Dominating style. These findings provided evidence-based contributions sustaining that the MOOC may effectively foster a more aware, engaged, and active pattern for managing relationships and conflicts within classes, thus potentially having a tangible positive impact on the real everyday life of teachers experiencing this training and their students.
Propagation properties of metallic dielectric cladded waveguides

The propagation properties of 1D waveguides composed by a dielectric core and a multilayered metallic dielectric cladding are numerically analyzed in details for applications covering the O-E-S-C-L-U optical communication bands. The propagation length, penetration depth and the figure of merit as a function of their geometrical and optical parameters are presented. The strong dependence of their properties with their constituent materials has been observed. Long propagation distances with high values of figure of merit can be obtained, opening the possibility to develop devices of high performance in the optical band under inspection.
Online minimum error entropy algorithm with unbounded sampling

Minimum error entropy (MEE) criterion is an important optimization method in information theoretic learning (ITL) and has been widely used and studied in various practical scenarios. In this paper, we shall introduce the online MEE algorithm for dealing with big datasets, associated with reproducing kernel Hilbert spaces (RKHS) and unbounded sampling processes. Explicit convergence rate will be given under the conditions of regularity of the regression function and polynomially decaying step sizes. Besides its low complexity, we will also show that the learning ability of online MEE is superior to the previous work in the literature. Our main techniques depend on integral operators on RKHS and probability inequalities for random variables with values in a Hilbert space.
A General Class of Distributions on the Simplex

SUMMARY The Dirichlet class of distributions on the simplex is overstructured for practical work because of its many strong independence properties. A persistent problem of distribution theory has thus been to extend this class to include members free of these independence properties. An alternative approach has been the recent introduction of the logistic-normal class which contains members with and without the independence properties. Unfortunately, this class is separate from the Dirichlet class and so cannot sustain discussion of some strong forms of independence. These difficulties are overcome in this paper by the introduction of a more general class which includes as special cases the Dirichlet and logistic-normal classes. The role of this new class in relation to the analysis of compositional data, in particular the investigation of independence hypotheses, is discussed and illustrated.
A Bayesian model for multiple change point to extremes, with application to environmental and financial data

ABSTRACT Abrupt changes often occur for environmental and financial time series. Most often, these changes are due to human intervention. Change point analysis is a statistical tool used to analyze sudden changes in observations along the time series. In this paper, we propose a Bayesian model for extreme values for environmental and economic datasets that present a typical change point behavior. The model proposed in this paper addresses the situation in which more than one change point can occur in a time series. By analyzing maxima, the distribution of each regime is a generalized extreme value distribution. In this model, the change points are unknown and considered parameters to be estimated. Simulations of extremes with two change points showed that the proposed algorithm can recover the true values of the parameters, in addition to detecting the true change points in different configurations. Also, the number of change points was a problem to be considered, and the Bayesian estimation can correctly identify the correct number of change points for each application. Environmental and financial data were analyzed and results showed the importance of considering the change point in the data and revealed that this change of regime brought about an increase in the return levels, increasing the number of floods in cities around the rivers. Stock market levels showed the necessity of a model with three different regimes.
High gain, directive and miniaturized metamaterial C-band antenna

Abstract In this paper, design and analysis of U–T-shaped metamaterial antenna have been presented. It shows negative permittivity and permeability characteristics. The metamaterial array is embedded inside the substrate of rectangular microstrip patch antenna. Upon incorporation, directivity increases by 24% and gain increases by 18%. Results were compared with equivalent circuit analysis of patch antenna and are well in coherence with FEM (finite-element method)-based Ansoft HFSS (high-frequency structure simulator) simulation with around 1% error. Using fractal metamaterial antenna of first and second order iterative mathematics, antenna is miniaturized by 58 and 75% along with improvement in bandwidth.
Ambient Intervention dalam Wellness Cafe Studi Kasus : Clear Cafe Ubud

Tujuan dari penelitian ini mengeksplorasi bagaimana interior cafe sebagai sebuah tempat untuk keseimbangan fisik, pikiran dan jiwa (body, mind and spirit). Artikel ini menjabarkan bagaimana keseimbangan tersebut terjadi dengan pendekatan interior -ambient intervention, yaitu pengaruh suasana interior melalui cahaya, suara, bau, dan temperatur. Metode yang digunakan dalam penelitian ini adalah kuantitatif dimana peneliti akan melakukan kuesioner terhadap persepsi Wellness dalam interior dan pengalaman pengunjung pada Clear Cafe Ubud yang merupakan salah satu cafe yang mengusung konsep wellness di Ubud. Selain itu diambil data interior Clear Cafe Ubud dari internet untuk mengetahui penerapan elemen cahaya, suara, bau dan temperatur pada interior dikorelasikan dengan keinginan dan pengalaman pengunjung Wellness Cafe. Temuan dalam penelitian ini adalah bahwa keberhasilan cafe sebagai sebuah wellness space dipengaruhi oleh ambient intervention dalam interior. Temuan ini juga menunjukkan bahwa keseimbangan fisik, pikiran dan jiwa dihasilkan dari elemen interior yang memberikan ketenangan, keintiman, dan relaksasi yang selaras dengan prinsip keseimbangan alam. Penelitian ini diharapkan memberi manfaat kepada para pengelola cafe dalam menentukan arah dan pengembangan desain interior cafe sebagai sebuah wellness space. Kata Kunci: desain interior, wellness cafe, ambient intervention
3D Printing of β-TCP/S53P4 Scaffolds: Physicochemical, Mechanical, and Biological in vitro Evaluation

Abstract: The focus of bone tissue engineering is on the new strategies for developing bioactive and resorbable scaffolds, which have become an alternative to the treatment of bone diseases and trauma. β-tricalcium phosphate (β-TCP) is considered resorbable and has excellent osteoconductivity. In an attempt to achieve good densification of the β-TCP scaffold and improve its biological properties, it arises the possibility of combining this material with S53P4 bioactive glass. Several techniques are used to produce bioceramic scaffolds, among them, direct ink writing (DIW) a type of additive manufacturing based on material extrusion, which allows the production of customized parts, with high complexity and good reproducibility. This work prepared β-TCP and β-TCP/S53P4 (β-TCP/10-S53P4 = 10% wt of S53P4 and β-TCP/20-S53P4 = 20% wt of S53P4) scaffolds by DIW. The ceramic inks showed pseudoplastic behavior and the 3D-printed scaffolds showed similar aspects to the digital model. Also, the β-TCP/S53P4 scaffolds (β-TCP/10-S53P4 = 1.6 ± 0.6 MPa and β-TCP/20-S53P4 = 2.1 ± 0.9 MPa) showed an increase in compressive strength when compared to β-TCP scaffolds (0.9 ± 0.1 MPa). All scaffolds showed apatite-mineralization ability in SBF after soaking for 7 and 14 days, being that the β-TCP/20-S53P4 scaffold showed a higher ability of apatite formation compared to the other scaffolds. Concerning the biological in vitro assays, all the scaffolds showed good cell viability. Thus, the β-TCP/S53P4 scaffolds showed adequate properties which become them, good candidates, to be used in bone tissue engineering.
La negación estándar en guarijío: examen semántico y morfosintáctico

Este estudio aborda la negación estándar en la lengua guarijío. La exploración, registro y análisis de este fenómeno lingüístico en este idioma yutoazteca permite la descripción de los rasgos semánticos y morfosintácticos, así como de los mecanismos gramaticales con los que esta lengua codifica las estrategias para comunicar este ámbito de la polaridad lingüística. El trabajo tiene como propósito: (i) registrar los contextos clausales en donde la negación estándar toma lugar en las estructuras encontradas en el corpus de estudio, (ii) reconocer la forma y posición de la negación estándar en cláusulas, así como (iii) caracterizar el comportamiento morfosintáctico (sintético o analítico / simétrico o asimétrico) y el desempeño semántico de esta categoría gramatical dentro del dominio de la negación. Los puntos anteriores exhiben la ruta metodológica que seguirá esta investigación, la que se realiza bajo el enfoque funcionalista (Horn 1989; Givón 1984; Honda 1996; Miestamo 2006b, entre otros) y se relacionará a los estudios tipológicos de este fenómeno lingüístico (Dahl 1979; Payne 1985; Croft 1991; Kahrel & Van Der Berg 1994; Miestamo 2005 y otros).
Effect of a Gradient Term on the Solvability of the Heat Equation with a Supercritical Reaction with Respect to the Hardy Potential

Abstract In this paper we consider the following nonlinear parabolic problem where Ω ⊂ ℝN, N > 2, is a bounded domain with 0 ∈ Ω and 1 < p < 3. The main goal of this work is to analyze the influence of the gradient term in order to obtain the existence of a positive solution for the largest class of data ( f, u0) and for all λ > 0.
El tratamiento del neuroma de Morton con colágeno. Una serie de casos

Treatment of Morton's neuroma with collagen infiltration. A case series report Introduction and objectives: Morton's neuroma is a fibrous enlargement of the interdigital nerve branches, usually in the third interspace. The treatment can be conservative (infiltrative of corticosteroid and anesthetic injections) and operative. We propose the collagen ultrasound guided infiltration as a possible treatment in cases with poor response to other pharmacological, non-pharmacological and invasive treatments. Material and methods: a retrospective review of a 5-patient case series with more than one-year clinical and physical signs of Morton's neuroma and bad response to conventional treatment. An ultrasound-guided (US) injections were performed by a radiology specialist, in the intermetatarsal space with collagen with prior lidocaine anesthesia. The evolution of pain was assessed before and after the treatment with the Visual Analog Scale (VAS scale that ranges from 0 to 10).
Nonlinear-optical study of magnetoelectric interactions in multilayer structures

ABSTRACT Temperature dependences of electric field-induced and magnetic field-induced optical second harmonic generation (SHG) were used to study La0.7Ca0. 25MnO3/BaTiO3 (LCMO/BTO) superlattice. Ferroic properties of the superlattice are reveal by magnetic field-induced and electric field-induced SHG hysteresis loops (“magnetic” and “electric” SHG loops). However, direct modifications of the SHG hysteresis loops by the other field (electric field for the “magnetic loop” and vice versa) were not found. Strong modifications of the “electric” SHG hysteresis loops occur at temperatures close to the paramagnetic-ferromagnetic and the insulator-metal phase transitions in LCMO. In this way, the magnetoelectric interaction in an LCMO/BTO superlattice was established indirectly.
Supporting Machine Learning Model in the Treatment of Chronic Pain

Conventional therapy options for chronic pain are still insufficient and patients most frequently request alternative medical treatments, such as medical cannabis. Although clinical evidence supports the use of cannabis for pain, very little is known about the efficacy, dosage, administration methods, or side effects of widely used and accessible cannabis products. A possible solution could be given by pharmacogenetics, with the identification of several polymorphic genes that may play a role in the pharmacodynamics and pharmacokinetics of cannabis. Based on these findings, data from patients treated with cannabis and genotyped for several candidate polymorphic genes (single-nucleotide polymorphism: SNP) were collected, integrated, and analyzed through a machine learning (ML) model to demonstrate that the reduction in pain intensity is closely related to gene polymorphisms. Starting from the patient’s data collected, the method supports the therapeutic process, avoiding ineffective results or the occurrence of side effects. Our findings suggest that ML prediction has the potential to positively influence clinical pharmacogenomics and facilitate the translation of a patient’s genomic profile into useful therapeutic knowledge.
From Dark Matter to Deficit Angles: Effective Field Theory in Cosmology and AdS/CFT

The Standard Model (SM) of particle physics, despite its accurate and thoroughly tested description of nature, is an incomplete theory. Astrophysical observations indicate an abundance of matter beyond that of the SM, which currently can only be observed through indirect gravitational effects. The Cosmic Microwave Background (CMB) provides a means to constrain both the abundance of this dark matter and the presence of additional light particle species. The SM also fails to provide a full description of gravity, with many open questions as to the quantum nature of gravitational phenomena. In this thesis, we consider three distinct but complementary means of extending this modern framework. Conventional attempts to determine the nature of dark matter are insensitive to models with mass below about a GeV. We consider newly proposed technology which would allow for the detection of dark matter as light as an MeV in mass, through the observation of single electron events in semiconductor materials with significantly lowered thresholds. We find that such detectors would be particularly sensitive to dark matter with electric and magnetic dipole moments, with a reach many orders of ii
Effects of fermented and supplemented chicken manure on the nutrient management aspects of an apple orchard

AIt is a huge challenge for farmers worldwide to successfully increase the organic matter content of their soils and improve their water balance at the same time. Therefore, the main aim of the study is to develop and test organic-based nutrient composite materials that can be successfully used by farmers to increase soil organic matter content, improve water management parameters and implement water-efficient technologies. The study was performed in the orchard of the Institute of Horticultural Science of the University of Debrecen in Hungary (Debrecen-Pallag). The experiment was set up in a ten-year-old apple (Malus domestica ‘Pinova’) orchard. In the trial, fermented poultry manure and superabsorbent polymers (SAP) were used at different doses to study their effects on soil properties and fruit quality. Applied composite materials increased the nitrate and organic nitrogen content of the soil. Treatments did not affect the sugar content of the fruits but significantly and positively affected the individual fruit weight and the titratable acidity of the fruits.
Emotion Regulation Strategies in Job Satisfaction of Normal Developing Individuals and Individuals with Social Anxiety Disorder

Job satisfaction which affects personal health, family harmony, company performance, and even social stability has been widely studied as a priority in psychology. Emotional regulation is intimately connected to job satisfaction and appears to be an efficient strategy to boost job satisfaction. This paper focuses on the link between emotion regulation on job satisfaction in individuals with Social Anxiety Disorder (SAD) and the normal developing individuals that may exist in different forms. Through reviewing previous research, extensive theoretical and empirical research has confirmed that emotion regulation methods can positively influence the job satisfaction of a wide range of populations. However, individuals with SAD originally showed disorders of emotion regulation. Whether the approach to the link between emotion regulation and job satisfaction under complicated multifactorial effects like individuals with SAD corresponds to the same causal model or has its own independent relationship model will be an important issue of future experimental and theoretical research. Modeling emotion regulation and job satisfaction under the influence of generalized mental disorders not only help company management but also improve SAD individuals mental health.
Good deal bounds with convex constraints: --- examples and proofs ---

This note is an extended version of Arai (2016), in which convex risk measures describing the upper and lower bounds of a good deal bound are studied for the case where the set of 0-attainable claims is convex as an extension of Arai and Fukasawa (2014). Here a good deal bound is defined as a subinterval of a no-arbitrage pricing bound. An outline of good deal bounds is given firstly for the readers who are not familiar with good deal bounds. In addition, many examples of convex markets are also introduced; and precise proofs for all mathematical results are provided.
New regularity of kolmogorov equation and application on approximation of semi-linear spdes with Hölder continuous drifts

In this paper, some new results on the the regularity of Kolmogorov equations associated to the infinite dimensional OU-process are obtained. As an application, the average \begin{document}$L^2$\end{document} -error on \begin{document}$[0, T]$\end{document} of exponential integrator scheme for a range of semi-linear stochastic partial differential equations is derived, where the drift term is assumed to be Holder continuous with respect to the Sobolev norm \begin{document}$\|·\|_{β}$\end{document} for some appropriate \begin{document}$β>0$\end{document} . In addition, under a stronger condition on the drift, the strong convergence estimate is obtained, which covers the result of the SDEs with Holder continuous drift.
EKSPLORASI EFEK MODERASI DIMENSI BUDAYA TERHADAP PENERIMAAN TEKNOLOGI INTERNET MASYARAKAT YOGYAKARTA

The most popular model of technology acceptance related to information technology is the Unified Theory of Acceptance and Use of Technology model originating from developed countries. If applied in developing countries, it may not be appropriate, given the different cultures. In this study, a technology acceptance model will be developed by incorporating cultural factors or dimensions to make it suitable for Indonesia. The cultural dimensions used are the dimensions found by Hofstede, namely Power Distance, Individualism, Masculinity, Long Term Orientation and User Avoidance. In this study the Masculinity dimension was not used because this dimension is not so visible in Indonesia. This research was conducted using quantitative methods, factor analysis and path analysis using Structure Equation Modelling. The cultural dimension is placed as a moderating variable. The results of this study, it was found that the cultural dimension of Power Distance had a positive effect on the relationship between Effort Expectancy and Behavioral Intention and between Performance Expectancy and Behavioral Intention. The cultural dimension of Individualsm has a positive effect on the relationship between Effort Expectancy and Behavioral only. The cultural dimension of User Avoidance has a positive effect on the relationship between Social Infuence and Behavioral Intention. Social influence has a direct effect on Behavioral Intention, indicating that environmental factors really greatly influence the intention to use the internet. Keywords: technology acceptance, cultural dimension, moderating variable
Aero-acoustics of wind instruments

Due to the essential non-linearity of the governing equations it is difficult to predict accurately the air flow in wind instruments. Direct numerical simulation is still very difficult. Simplified models describing the non-linear flow in the mouthpiece of a wind instrument as a locally incompressible flow are therefore most useful. Aero-acoustics provide us with a systematic study of such approximations. In the case of flue instruments the flow is essentially unsteady. As a prototype of such a flow we discuss the whistling induced by a grazing flow along the orifice of a Helmholtz resonator. In reed instruments a quasi-stationary model often seems to be a reasonable approximation. The details of the flow in reeds is, however, not well understood. This is illustrated by a discussion of the double reeds for which the basic flow control mechanism has not yet been clearly determined. vVe aiso give a short review of non-linear effects on the response of the pipe of the instruments.
Application of Hilbert-Huang Transform to Thermographic Data Analysis for Enhanced Nondestructive Testing of Materials

In this work, the Hilbert-Huang transform (HHT) is utilized to improve the non-destructive testing based on thermographic data and enhance the defect detection of materials. In previous studies, HHT has been proven to be powerful for signal processing and analysis in 1D time series. Its generalization to 2D and 3D Euclidean space has also demonstrated the widespread utilizations of HHT. The authors performed experiments on a mosaic sample with defects deliberately introduced. By using the proposed method, we successfully extracted informative defect signals out of noisy raw thermographic data and provided accurate yet more intuitive testing results