Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecção de atividade vocal empregando máquinas de Boltzmann restritas.

In this work, a type of Restricted Boltzmann Machine (RBM) having a classification layer is adapted to allow its use with data defined in a continuous domain. Such adaptation gives rise to a variant of the model for which the parameter update rules are developed for the discriminative, generative and hybrid types of training. The application of the variant as a classifier to the Voice Activity Detection (VAD) problem is then investigated. By means of simulations involving the corpus NOIZEUS and employing Mel-Frequency Cepstral Coefficients (MFCCs) or Filter-Bank Energies (FBEs) as classifier inputs, results comparable to those of state-of-the-art detectors are achieved with a lower computational cost. The RBM variant is also compared to the linear and Gaussian kernel Support Vector Machines (SVMs). With the discriminative training, the RBM provides intermediate performances between the two SVM types, but a computational cost that is considerably lower than theirs. Additionally, a set of measures from the audio whose application in VAD has been recently proposed are evaluated by employing the RBM with discriminative training. Although the results are not conclusive, the performances obtained indicate that the measures are not advantageous when compared to the traditional MFCCs.
In vitro anti-cancer activity of Doxycycline on some human cancer cell lines

Doxycycline (DC) is an antibiotic that is used in the treatment of number types of infections diseases caused by bacteria and protozoa. Doxycycline is a kind of second-generation tetracyclines which is commonly used to treat a variety of infections. Three cancer cell lines include: human cerebral glioblastoma-multiforme (AMGM) at passages 75-84, human cervical cancer (HeLa) at 70 passages, and human pelvic rhabdomyosarcoma (RD) at 75 passages cell lines were used in this study. The results showed that DC exerted significant cytotoxic effects with all concentrations used (50,100,150,200,250,300,350 and 400) µg/ml on all types of cell lines. Because of cytotoxic activity, good pharmacokinetic characteristics and the safety of drug which used for many years in the treatment of infectious disease, we can conclude that these characteristics make DC a valuable treatment for many types of cancer.
Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning

The early detection of emerging technologies is crucial for organizations to stay ahead of the technological curve and adapt to the changing market landscape. For this matter, several approaches were proposed to detect emerging technologies. However, these methods often suffer from limitations such as subjectivity because of manual curation and lack of scalability and predictability. In this extended abstract, we present a hybrid approach to detect emerging technology terms using the burst detection algorithm and predict their future trends by combining machine learning techniques with burst detection. We test the proposed approach in artificial intelligence (AI)-related patents. The results show that the proposed approach can predict the future prevalence of AI technology terms with an accuracy of 90.5%. It is also demonstrated that deploying a deep neural network classifier can increase the accuracy by 10-15% compared to a conventional tree-based classifier. We hope the proposed framework supports decision-makers in better identifying emerging terms, especially in evolving multidisciplinary fields such as AI.
Conceptual foundations of quantum theory: a map of the land

Cet article n'est pas une revue des fondements conceptuels de la theorie quantique. Il faudrait plutot le considerer comme un «article de survol» ou encore mieux, comme l'affirme le titre, une «carte» dont le but est de permettre de s'orienter dans le sujet. Apres un bref expose des trois paradoxes classiques de la mecanique quantique, les paradoxes de la mesure, de Zenon et E.P.R. , on esquisse les principales interpretations de la theorie ainsi que les theories alternatives. Quelques sujets enigmatiques d'interet conceptuel sont aussi presentes et brievement discutes. Un soin particulier a ete apporte a la realisation de la bibliographie
Self-Assembling Nano- and Microparticles of Chitosan L- and D-Aspartate: Preparation, Structure, and Biological Activity

: The paper considers the processes of formation of chiral nano-and microparticles in solutions of the D-aminoglucan chitosan (CS) in L-and D-aspartic acid (AspA) by means of counterionic condensation of components and stabilization of particles by a polysiloxane shell. The effect of the L-and D-enantiomer of AspA on the structure, size, shape, and zeta potential of nano(micro)particles was studied by IR spectroscopy, dynamic light scattering, and electron and optical microscopy. It was found that chiral particles of CS·L-AspА and CS·D-AspА are non-toxic, hemo-and biocompatible, and also exhibit high growth-stimulating activity for test plants with the best effect for ho-mochiral D-glucan–D-AspА particles.
How Sea Fog Influences Inland Visibility on the Southern China Coast

Sea fog can lead to inland fog on the southern China coast, affecting visibility on land. To better understand how such fog influences inland visibility, we observed two sea-fog cases at three sites (over sea, at coast, and inland) and analyzed the results here. Our analysis suggests four factors may be key: (1) The synoptic pattern is the decisive factor determining whether fog forms inland. First, sea fog and low clouds form when the synoptic pattern involves warm, moist air moving from a warmer sea-surface temperature (SST) region to a colder SST region near the coast. Then, inland fog tends to occur under this low-cloud background with relatively large horizontal-vapor transport. A greater horizontal-vapor transport results in denser fog with higher liquid-water content. Conversely, a strong horizontal advection of temperature with less horizontal-vapor transport can hinder inland-fog formation. (2) Local cooling (including ground radiative cooling) helps promote inland fog formation. (3) Fog formation requires low wind speed and small turbulent kinetic energy (TKE). The small TKE helps the vapor accumulate close to the surface and maintain the local cooling effect. (4) Fog formation is promoted by having the energy flux downward at night with the land surface cooling the atmosphere as well as having lower soil temperature and higher soil humidity.
Authentic leadership and job burnout: Mediating effects of positive psychological capitals

This study explored methods for reducing job burnout among organizational members working in highly stressful job environments from the perspective of positive organizational scholarship. In particular, we focused on the role of authentic leadership, an alternative leadership concept that has recently received much attention in the leadership literature. To explain the mechanism underlying the effects of authentic leadership on job burnout, the mediating effect of positive psychological capitals (PsyCap), a critical variable of positive psychology, was analyzed. To examine the proposed hypotheses, data were collected through a survey of employees of the Defense Acquisition Program Administration and analyzed. The results of the analyses demonstrate that authentic leadership has positive effects on team members' positive PsyCap, which in turn reduces their job burnout. In particular, in the relationship between authentic leadership and job burnout, all sub-factors of team members’ positive psychological capital revealed partial mediating effects, with the most significant mediating effect being optimism. Based on the results, we propose several suggestions to strengthen both authentic leadership and positive PsyCap within military organizations.
Enhancing Sustainable Arts Education: Comparative Analysis of Creative Process Measurement Techniques

Contemporary research indicates that student creativity is crucial to the success of arts education. Self-regulated learning has become one of educational psychology’s most critical research areas. However, there is limited research on creativity in arts education in self-regulated learning. Therefore, this study aims to define the creativity characteristics that determine the quality of students’ work. This study implemented a creative competition in painting and composition for first-year undergraduates. It was conducted at a Chinese university with the participation of 178 first-year students aged 18 to 26. It evaluated the characteristics of creativity during the three main phases of the task: planning, execution, and completion. We investigated the subject by employing semi-open questionnaires (n = 178) and using the content analysis method and quantitative analysis. According to the competition results, the students with the highest scores in flow, inspiration, and idea generation in the performance phase had the best quality work. In the forethought phase, analogical thinking and idea generation worked best for most students, while in the performance phase, flow sense, idea generation, and idea manipulation worked best. Data on creativity characteristics at different work phases and final quality might adequately guide and organize educational procedures. These findings can serve as a theoretical foundation for quantifying the creativity phase in self-regulated learning and offer arts educators a reference for creativity instruction.
An Algorithm for Computing a Hamiltonian Cycle of Given Points in a Polygonal Region

In this paper, for a point set X in a simple polygon P, we present an algorithm to compute a Hamiltonian cycle which avoids the boundary of P and accesses all points of X. Computing a Hamiltonian cycle of given points in a simple polygon is a novel transformation of the general Hamiltonian problems and the problem of finding simple paths on given obstacles in a simple polygon. In our solution, we first construct the geodesic convex hull G of X inside P, and then find simple paths turn only at the points of X for two adjacent vertices in X along the boundary of G which are invisible to each other. After an original Hamiltonian cycle is found, we insert the remaining points to it. Finally, we present an O((n 2 +m)nlogm) time algorithm (n is the number of points in X and m is the number of P’s vertices) to report a Hamiltonian cycle if it exists or report that no such cycle exists. INTRODUCTION Background Computing a Hamiltonian cycle of given points in a simple polygon is an open problem posed by Cheng Q. et al., as a transformation of finding simple paths among obstacles in a simple polygon [1]. The problem can be described as follows: Suppose that there is a set X of n given points in a simple polygon P in the plane, the objective is to construct a Hamiltonian cycle HX (without self-intersections) which accesses all points in X and avoids the boundary of P, so that each edge of HX does not intersect with the boundary of P (except for the vertices of P). If such HX exists, output it, otherwise report that no such cycle exists. When P is convex, HX certainly exists and can simply be found in O(nlogn) time by using the method provided in [1]. Over the past two hundred years, many researchers have studied the related problems of Hamiltonian cycle or path. Although the original Hamiltonian path problem is proven to be an NPC problem [2], the time complexity of finding Hamiltonian cycles can be reduced to polynomial time under certain conditions, such as finding Hamiltonian cycles in distance-hereditary graphs [3], or in co-comparability graphs [4], or in semi-complete multipartite digraphs [5], and so on. For finding Hamiltonian cycles in general graphs, Rubin first presented a multi-path method which is an exhaustive search method [6]. Then, William Kocay introduced an algorithm that overlays additional pruning capabilities into the search [7]. Andrew Chalaturnyk presented a fast algorithm [8] in 2008. In 2012, Blazewicz J. and Kasprzak M. used matching Graphs to simplify Hamiltonian cycle problems [9].
THE EFFECT OF PRICE, SERVICE AND PROMOTION ON REPURCHASE DECISION OF WATER REFILLS PRODUCT OF METRO PALU

This research aims to determine and analyze the effect of price, service, and promotion simultaneously and partially on decision to repurchase the product of water refills of Metro Palu. The population in this research were all customers of the Metro Palu refill water refills station. The number of samples in this research were 123 respondents. This research applied a descriptive causal with data analysis technique using multiple linear regression. Data were analyzed through SPSS application. The results show that the variables of price, service and promotion simultaneously have a positive effect on repurchase decisions, the significant value of F is 0.000 < (0.05). Moreover, the partial test result obtains that the price variable has a significant value of t = 0.006 < (0.05). It can be concluded that the price variable positively and significantly affects on repurchase decision. Furthermore, the service variable has a significant value of t = 0.006 < (0.05) so it can be concluded that the service variable has a positive and significant effect on repurchase decision. The results of the partial test show that the promotion variable has a significant value of t = 0.000 < (0.05). Thus, so it can be concluded that the promotion variable has a positive and significant effect on repurchase decision. Keywords: Prices, Services, Promotions, Repurchase Decisions, Metro Palu Water Refills
Clean versus contaminated bubbles in a solid-body rotating flow

The behaviour of clean and contaminated bubbles in solid-body rotating flows is compared in terms of drag and lift forces. Both spherical and deformed bubbles are considered. For that comparison, we have completed the data published in Rastello et al. (J. Fluid Mech., vol. 624, 2009, pp. 159–178; J. Fluid Mech., vol. 682, 2011, pp. 434–459) by a new series of measurements. When they are contaminated, bubbles are subject to an additional lift force due to the spinning of their surfaces, while the clean ones are not. A detailed description of this spinning motion is presented and an expression for the Magnus-like lift it induces is given in the light of the new information. The component of the lift induced by flow rotation depends on the Rossby number $Ro$ , contrary to the case of clean bubbles. Including the ‘spin’ induced lift component in the dynamical equations provides a better prediction of the bubble’s trajectory in contaminated fluid. The presence of contaminants immobilizes the rear part of the bubble and reduces significantly the deformation. The laws of deformation according to the nature of the surface are presented. The way deformation influences the drag and lift coefficients in pure and contaminated fluids is quantified and discussed. Expressions for these various coefficients are proposed.
Minimal order time invariant representation of periodic descriptor systems

A large number of results from linear time invariant system theory can be extended to periodic systems provided an equivalent time invariant system can be found. This problem has been well investigated for periodic systems which have a standard state space representation. This paper presents a numerical procedure to achieve the same for descriptor periodic systems with possibly singular descriptor matrix, in which case the monodromy matrix is not defined. It is shown that using a stacked representation of periodic systems a minimal order generalized state space description can always be obtained under system equivalence.
Dimerized high contrast gratings

Abstract Metasurfaces and planar photonic crystals are two classes of subwavelength diffractive optical devices offering novel functionalities. The former employ independently operating subwavelength “meta-units” as their building blocks, while the latter exploit the collective response of many periodic building blocks. High contrast gratings (HCGs) are an example of one-dimensional (1D) planar photonic crystals with large refractive index contrast, exhibiting large in-plane scattering even with a limited number of grating periods. They are best known for their broadband features. Low contrast gratings (LCGs) are known for their control over sharp spectral features but require many periods due to small in-plane scattering. We explore a class of symmetry-broken HCGs called dimerized high contrast gratings (DHCGs), which have a period-doubling perturbation applied. DHCGs support modes accessible by free-space illumination with a long, controllable photon lifetime (inversely proportional to the magnitude of the perturbation) and reduced lateral energy divergence (confined by the high index contrast of the grating). We catalogue and clarify the resonant modes introduced by the dimerizing perturbation in 1D DHCGs and briefly explore the increased in-plane scattering present in two-dimensional (2D) DHCGs. We introduce an approach maximizing lateral localization by band structure engineering in the unperturbed HCG and using the dimerizing perturbation to generate sharp spectral features in devices with small footprint. We confirm the simultaneous control of photon lifetime and lateral localization with full-wave simulations of finite-sized DHCGs. We conclude by numerically demonstrating two compact devices (an optical modulator and a refractive index sensor) benefitting from the unique design freedoms of DHCGs.
Analysis of Scalar PWM Approach With Optimal Common-Mode Voltage Reduction Technique for Five-Phase Inverters

Research on common-mode-voltage (CMV) reduction in multiphase drive systems has recently met an intensified interest in the available literature. This paper first explores two existing space-vector-based CMV reduction (CMVR) schemes for five-phase voltage source inverters, represented as CMVR1 and CMVR2, which reduce the CMV by 40% and 80%, respectively. Moreover, a new space-vector-based CMVR scheme, termed as CMVR3, is proposed that not only minimizes the CMV but also reduces the overall switching losses when compared with the other schemes. The optimal duty cycles and the switching sequence of all schemes are introduced. Since the implementation of space-vector-based schemes using look-up tables is a relatively complex and time-consuming process, this paper proposes a simpler scalar PWM approach. This approach can easily be implemented using embedded PWM modules of most commercial digital signal processors. To evaluate the performance of the presented CMVR schemes, a detailed evaluation study is presented. The optimal CMVR scheme over the full modulation index range is also highlighted. The theoretical findings are verified using a prototype five-phase induction machine through simulations and experimentally.
Influence of Interfacial Forces on the Hyperbolicity of the Two-Fluid Model

The Two-Fluid Model, an averaged model widely used in the modeling of two-phase compressible flows, generally fails to be hyperbolic in its basic formulation. However, interfacial forces such as the interfacial pressure term and the virtual mass force, bringing new differential terms to the system can change the previous analysis and make the problem hyperbolic. The case where the two phases are incompressible has been studied by Stuhmiller in 1977, but till now, no proof of their efficiency in rendering the model hyperbolic exists in the compressible case. The aim of this paper is to detail the effects these forces have on the hyperbolicity of the Two-Fluid Model in the compressible case. We characterise the location and topology of the non hyperbolic regions, and propose a closure for the interfacial pressure that makes the system unconditionnally hyperbolic
The MAXQMethod for Hierarchical Reinforcement Learning

This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural semantics—as a subroutine hierarchy—and a declarative semantics—as a representation of the value function of a hierarchical policy. MAXQ unifies and extends previous work on hierarchical reinforcement learning by Singh, Kaelbling, and Dayan and Hinton. Conditions under which the MAXQ decomposition can represent the optimal value function are derived. The paper defines a hierarchical Q learning algorithm, proves its convergence, and shows experimentally that it can learn much faster than ordinary “flat” Q learning. Finally, the paper discusses some interesting issues that arise in hierarchical reinforcement learning including the hierarchical credit assignment problem and non-hierarchical execution of the MAXQ hierarchy.
Compton scattering and warm dense matter thermometry

Compton Scattering and Warm Dense Matter Thermometry Brian Mattern Chair of the Supervisory Committee: Professor Gerald T. Seidler Physics The purpose of this dissertation is to consider the level of detail required for proper theoretical description of non-resonant inelastic x-ray scattering (NIXS) experiments from warm dense matter (WDM). These experiments currently provide the primary means of diagnostic thermometry for low-Z elements of interest for inertial confinement fusion. In particular, I focus on the importance of non-perturbative ion-electron interactions and their effect on the NIXS spectrum. To this end, I have extended the real-space electronic structure code FEFF to both calculate the valence-electron contribution to the NIXS spectrum and to handle elevated electronic temperature. I have found that the ion-electron interaction, and in particular the constraint of orthogonalization between core and valence wavefunctions results in a significant broadening of the valence-electron NIXS spectrum. This effect, has a similar appearance as increasing both density and temperature in simpler models of the valenceelectrons in WDM, and thus significantly affects the accuracy of thermodynamic parameters extracted from experimental data. Additionally, I have also demonstrated improved models for treating the core-shell contribution to the NIXS spectrum.
Strong resolvability in product graphs

En aquesta tesi s'estudia la dimensio metrica forta de grafs producte. Els resultats mes importants de la tesi se centren en la recerca de relacions entre la dimensio metrica forta de grafs producte i la dels seus factors, juntament amb altres invariants d'aquests factors. Aixi, s'han estudiat els seguents productes de grafs: producte cartesia, producte directe, producte fort, producte lexicografic, producte corona, grafs unio, suma cartesiana, i producte arrel, d'ara endavant "grafs producte". Hem obtingut formules tancades per la dimensio metrica forta de diverses families no trivials de grafs producte que inclouen, per exemple, grafs bipartits, grafs vertexs transitius, grafs hamiltonians, arbres, cicles, grafs complets, etc, i hem donat fites inferiors i superiors generals, expressades en termes d'invariants dels grafs factors, com ara, l'ordre, el nombre d'independencia, el nombre de cobriment de vertexs, el nombre d'aparellament, la connectivitat algebraica, el nombre de clique, i el nombre de clique lliure de bessons. Tambe hem descrit algunes classes de grafs producte, on s'assoleixen aquestes fites. Es conegut que el problema de trobar la dimensio metrica forta d'un graf connex es pot transformar en el problema de trobar el nombre de cobriment de vertexs de la seva corresponent graf de resolubilitat forta. En aquesta tesi hem aprofitat aquesta eina i hem trobat diverses relacions entre el graf de resolubilitat forta de grafs producte i els grafs de resolubilitat forta dels seus factors. Per exemple, es notable destacar que el graf de resolubilitat forta del producte cartesia de dos grafs es isomorf al producte directe dels grafs de resolubilitat forta dels seus factors.