Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of indirect vocal therapy via telehealth in speech-language therapy on self-assessment and vocal quality of physical education professionals

ABSTRACT Purpose: this study aimed to verify the effects of indirect vocal therapy (IVT), via telehealth, in physical education professionals in voice self-assessment, as well as vocal quality. Methods: 16 physical education professionals, aged between 18 and 50 years, both sexes, participated in the study. All participants were submitted to eight IVT sessions twice a week, 30 minutes each, remotely. The assessments happened remotely, too. Vocal health was explained to modify vocal habits and general health, coping strategies, stress management, and therapeutic interaction. The following protocols were applied: Vocal Disorders Screening Index, Voice Symptoms Scale (VoiSS), Voice Handicap Index (VHI), and vocal recording (/a/ and counting) was performed, evaluating the general degree of vocal quality, pre and post-IVT. The Wilcoxon Test (p<0.05) was applied to verify the findings. Results: there was a significant decrease in the values of the VoiSS protocol (total p=0.041; limitation p=0.032), and VHI (total p=0.012; p=0.005), and in the general degree of vocal quality in vowel /a/ (p=0.011). Conclusion: IVT applied through telehealth in physical education professionals, has positive effects on vocal and laryngopharyngeal symptoms, improving the self-perception of voice handicaps. IVT significantly improved the general degree of vocal quality, only in the emission of the sustained vowel.
The Role of Adversity Quotient and Authoritative Parenting on Academic Achievement of College Students in Denpasar City

This study aims to determine the role of adversity quotient and authoritative parenting on college students academic achievement. Subjects in this quantitative study were specifically college students in Denpasar, the biggest city in Bali which amounted to 106 people who were selected through a multi-stage cluster sampling technique. Instruments used were Adversity Quotient Scale, Authoritative Parenting Scale and students GPA. The results of multiple linear regression test showed a significance value of 0.000 (p <0.05) and an R value of 0.832 with a coefficient of determination (R Square) of 0.692, which means that Adversity Quotient and authoritative parenting style together play a role of 69, 2% towards academic achievement. The higher the level of Adversity Quotient and authoritative parenting, the higher the academic achievement of college students
Automatic identification of similar judicial precedents

Brazilian Code of Civil Procedure has been reformulated in 2015 and created new institutes of judicial precedents to allow the Courts of Appeal to decide about similar cases based on one main case, which is considered the paradigm for similar cases that remain suspended. This mechanism aims to avoid legal uncertainty in the lower courts, but, uncertainty can be taken to the Courts of Appeal, since different courts can judge similar legal matter in the opposite way. The identification of similar judicial cases is hard because Courts of Appeal work independently and the number of cases is high. We propose the use of computational intelligence techniques to automatically identify similar judicial precedents. Our hypothesis is that algorithms based on semantic approaches, such as Latent Semantic Indexing and Latent Dirichlet Allocation, perform better than those that use only syntactic approach, as (Okapi) BM25 ranking function. The best-performing model is extended with named entities to verify if its performance increases. The performance of the models is evaluated using similarity metrics and with the assistance of a specialist. We test this approach with the database of judicial precedent of the National Council of Justice. Our approach correctly grouped more than 90% of judicial precedents and found similar precedents with divergent decisions or precedents that should be suspended due to the existence of appeals into superior courts of same subject matter. Models based on syntactic approach presented the best results, as it required lower computational cost and fewer parameter tuning compared to the others.
Predictors of Romanian Psychology Students’ Intention to Successfully Complete Their Courses—A Process-Based Psychology Theory Approach

Student retention is a frequently researched issue due to the incidence of student dropout and its significance to learning outcomes. However, there are research gaps that need to be addressed in understanding the factors influencing student dropout in the context of higher education in Romania. This cross-sectional investigation aims to fill these gaps by examining the relationships between satisfaction with the specialization, self-regulation of learning behavior, students’ perceived stress, perceived acceptance from family and friends, and the intention to complete studies. The study utilizes various statistical analysis techniques, including mediation analysis and correlation analysis, to analyze the collected data. An online questionnaire was administered to non-randomized students majoring in Psychology, and a total of 144 valid and consented responses were obtained. The results reveal significant influences of satisfaction with the specialization, self-regulated learning, and students’ perceived stress on the intention to successfully complete courses. Furthermore, academic self-efficacy was found to fully mediate the relationship between satisfaction with the specialization and academic adjustment. These findings contribute to a better understanding of the student dropout process in the Romanian higher education system. By identifying the factors associated with student retention, this study provides insights that can inform the development of interventions aimed at improving students’ retention and overall learning outcomes.
Thermodynamic temperature measurements of Al–Cu, Al, Ag, Cu and Co–C fixed points by radiometry hybrid method

The radiometry hybrid method, by introducing a lens to the irradiance method with a 900 nm filter radiometer, was adopted to measure the thermodynamic temperature of the aluminum-copper (Al–Cu) eutectic point, aluminum (Al) freezing point, silver (Ag) freezing point, copper (Cu) freezing point and cobalt carbon (Co–C) eutectic point at the National Institute of Metrology, China. By scanning the uniformity of fixed-point blackbodies, the effective diameters were accurately estimated according to the size of the source effect (SSE). The lens transmittance measurement with the closest diameter aperture was adjusted to reduce the uncertainty of SSE. The discrepancy between the thermodynamic temperature and ITS-90 values (T-T 90) of Al–Cu, Al, Ag, Cu and Co–C fixed point blackbodies were concluded as 0.022 °C, 0.014 °C, 0.097 °C, 0.137 °C and 0.317 °C, respectively. The standard uncertainty of the fixed point thermodynamic temperature was estimated to be (0.1 to 0.3) °C (k = 2).
Influence of solvent mixture on the ablation rate of iron using femtosecond laser pulses

Ultrashort pulse laser ablation has become an important tool for material processing. Adding liquids to the process can be beneficial for a reduced debris and heat affected zone width. Another application is the production of ligand-free nanoparticles. By measuring the ablation rate of iron for femtosecond pulsed laser ablation in different solvents and solvent-mixtures, the influence of the solvent properties on the ablation process is studied. The ablation efficiency is quantified by measuring the ablation rate in dependency of the fluence from 0.05 J/cm2 up to 5 J/cm2 in water-ethanol and water-acetone mixtures which are varied in 25 % steps. The ablation rate is significantly influenced by the solvent-mixtures.
Nanoscale effects on the thermal and mechanical properties of AlGaAs/GaAs quantum well laser diodes: influence on the catastrophic optical damage

In this work we study the catastrophic optical damage (COD) of graded-index separate confinement heterostructure quantum well (QW) laser diodes based on AlGaAs/GaAs. The emphasis is placed on the impact that the nanoscale physical properties have on the operation and degradation of the active layers of these devices. When these laser diodes run in continuous-wave mode with high internal optical power densities, the QW and guide layers can experiment very intense local heating phenomena that lead to device failure. A thermo-mechanical model has been set up to study the mechanism of degradation. This model has been solved by applying finite element methods. A variety of physical factors related to the materials properties, which play a paramount role in the laser degradation process, have been considered. Among these, the reduced thicknesses of the QW and the guides lead to thermal conductivities smaller than the bulk figures, which are further reduced as extended defects develop in these layers. This results in a progressively deteriorating thermal management in the device. To the best of our knowledge, this model for laser diodes is the first one to have taken into account low scale mechanical effects that result in enhanced strengths in the structural layers. Moreover, the consequences of these conflicting size-dependent properties on the thermo-mechanical behaviour on the route to COD are examined. Subsequently, this approach opens the possibility of taking advantage of these properties in order to design robust diode lasers (or other types of power devices) in a controlled manner.
Time-series Spectroscopy of the Oscillating Algol-type Binary AB Cas

This study presents the high-resolution spectra of the eclipsing binary AB Cas with a δ Sct-type pulsating component, which were obtained using the Bohyunsan Optical Echelle Spectrograph in Korea. In this paper, the radial velocities for the primary and secondary stars were measured from a total of 27 spectra made during two nights in 2015 October. We derived accurate physical properties of the system for the first time by simultaneously analyzing our radial velocity curves together with previously published uvby light curves. Individual masses, radii, and effective temperatures of both components were determined to be M⊙ and M⊙, R⊙ and R⊙, and K and K, respectively. The results should be more accurate than previous photometric studies. We investigated the evolutionary history of AB Cas by comparing its physical parameters with stellar evolutionary models. The primary component is not a classical δ Sct pulsator but is the result of mass accretion transferred from the initial more massive star, which is the present secondary. This indicates that AB Cas is an oscillating Algol-type eclipsing binary with a low-mass and oversized secondary component filling its inner Roche lobe.
Feature’s importance assessment for activation probability measure in topic’s diffusion prediction

In this study, we aim to estimate the sigma coefficient in the activation probability calculation for a topic’s diffusion prediction problem. In our previous studies, we proposed an aggregated activation probability combination of the metapath and text information, in which sigma is the characteristic coefficient of interest’s similarity based on textual content. σ is a parameter that controls the rates of the influence of active probability based on the metapath and interest similarity on aggregated activation probability. In a previous study, we supposed the equal importance between the metapath and textual information, when σ = 0.5. However, for different datasets, this coefficient differs, depending on the meaning of the meta-path and the textual information. In this study, we continue to investigate the importance of the sigma coefficient for the effectiveness of the topic’s diffusion prediction problem on the bibliographic network. We propose to utilize the two most common methods for feature selection: the ANOVA test and mutual information to obtain the significance of two features MP (metapath) and the IS (textual information). The experimental results show that the use of the feature selection methods to estimate the sigma coefficient is reliable and improves the predictive performance of the topic’s diffusion compared with the standard assignment of 0.5.
Technical Report for "User-Centric Participatory Sensing: A Game Theoretic Analysis"

Participatory sensing (PS) is a novel and promising sensing network paradigm for achieving a flexible and scalable sensing coverage with a low deploying cost, by encouraging mobile users to participate and contribute their smartphones as sensors. In this work, we consider a general PS system model with location-dependent and time-sensitive tasks, which generalizes the existing models in the literature. We focus on the task scheduling in the user-centric PS system, where each participating user will make his individual task scheduling decision (including both the task selection and the task execution order) distributively. Specifically, we formulate the interaction of users as a strategic game called Task Scheduling Game (TSG) and perform a comprehensive game-theoretic analysis. First, we prove that the proposed TSG game is a potential game, which guarantees the existence of Nash equilibrium (NE). Then, we analyze the efficiency loss and the fairness index at the NE. Our analysis shows the efficiency at NE may increase or decrease with the number of users, depending on the level of competition. This implies that it is not always better to employ more users in the user-centric PS system, which is important for the system designer to determine the optimal number of users to be employed in a practical system.
Facilitating international transdisciplinary collaboration in a virtual academic exchange project

What challenges does virtual collaboration pose to fundamental conditions of collaborative work such as building relationships and trust and establishing balanced participation? We approached this question in a virtual seminar in transdisciplinary Public Art across six international universities, with funding from the German Academic Exchange Service (DAAD) International Virtual Academic Collaboration (IVAC) program. Together with our partner institutions and accompanied by an intercultural facilitator, we established a collaborative methodology for teaching and learning. As means of participation and relationship building, we developed a two- step method for matching student teams and used collaborative tools such as playful exercises and open agenda meetings. We conducted a qualitative study to monitor the collaborative process throughout the course. We held semi structured one-on-one interviews with fifteen students and analyzed their written reports. The results illustrate how our methodology supported the students’ collaborative creative practices. Additionally, we describe challenges and consider possible solutions.
Deformation record and revised tectonic evolution of the Nízke Tatry Mts. in the Tatric – Veporic junction area: Insights from structural analysis

: The Nízke Tatry Mts. is a mountain range located in the central part of the Western Carpathians. Throughout history, the studied area has been affected by at least two orogenetic cycles – Variscan and Alpine. Based on structural analyses, it is possible to determine several deformation events. The older deformations ( D V ), which were accompanied by the Variscan higher-grade metamorphism, are characterised by penetrative tectonic foliations, such as schistosity and gneissic banding, and go hand in hand with folds and lineations. In contrast, the younger deformations ( D A ) are marked by structural evolution under low-grade (retrograde) metamorphism, phyllitic foliations, crenulation foliation, cataclasis, and minor recrystallisation. The Variscan deformation ( D 2 V ) is the earliest pervasive deformation with pronounced evolution of S 2 V metamorphic foliation, locally with preserved isoclinal and rootless folds of S 1 V planar fabric. Stretching and mineral lineations ( L 2 V ) are usually oriented in the ENE–WSW direction. The fabric of D 2 V is intensively affected by folds ( F 3 V ) and, in many places, marked by development of S 3 V axial planes. The Alpine deformation ( D 1 A ) was accompanied by low-grade metamorphism and depicted by space to zonal with pervasive foliation ( S 1 A ) in some areas. This deformation is characterised by a typical crenulation cleavage, where S 2 V planes are folded and produced S 1 A foliation. The crenulation and intersection lineations ( L 1 cA ) have NE–SW to E–W trends. The D 1 A deformation is also accompanied by pronounced evolution of NNW–SSE groove, stretching, and mineral lineation ( L 1 tA ). Shortening in the NNW–SSE direction is also evidenced by asymmetric folds with an ENE–WSW orientation of fold axes ( F 1 A ) and line intersections ( L 1 cA ) with pronounced top-to-the-NNW tectonic transport. The youngest observed Alpine deformation ( D 2 A ) is related to an extension of the Tatric crystalline basement with top-to-the-east transport defined by Alpine lineations ( L 2 A ) on spaced planar structures ( S 2 A ) and correspond to C surfaces.
Detection of Indonesian Food to Estimate Nutritional Information Using YOLOv5

Currently, the development of online food delivery service applications is very popular. The application offers convenience in finding and fulfilling food needs. That circumstance has an impact such as not controlling the type and amount of food consumed. Therefore, to maintain a healthy lifestyle, people need to eat healthy and nutritious food. The goal of this research is to build a model using the YOLOv5 model that can detect images of Indonesian food so that nutritional estimation can then be carried out by taking information per serving data sourced from the FatSecret Indonesia website. The methods of this research include data collection, data pre-processing, training, testing, evaluation, image detection, and model export. The outcome of this research is an object detection model that is ready to be implemented in android applications or websites to detect images of Indonesian food which can be estimated for each nutrient. Based on the detection results, 98.6% for an average of a curacy, 95% for precision, 95.3% for recall, and 95% for F1-Score were obtained. The results of the detection are then used to estimate nutrition by taking information per portion from the FatSecret Indonesia website. From the experiments that were carried out on seven pictures of Indonesian food, the estimation was carried out well by displaying various nutritional information including energy, protein, fat, and carbohydrates.
Mapping the orientation of corneal sutural lamellae by means of backward-scattered SHG microscopy

SHG microscopy was successfully used to characterize the orientation of sutural lamellae within corneal samples by means of an epi-detection scheme. In particular, the attention was focused on the organization and orientation of corneal collagen lamellae in the first 30 μm of the stromal layer below Bowman’s membrane. In fact, it is thought that the irregular orientation of these specific lamellae, an in particular the existence of so-called sutural lamellae, affects the mechanical properties of the cornea and is responsible of the overall corneal stiffness. The methodology was tested by acquiring image stacks of the central portion of the cornea in ex vivo samples of healthy corneas, keratoconic corneas and keratoconic corneas treated with cross-linking. These samples represent a good benchmark for testing the methodology, considering that keratoconus is an ophthalmic disease in which the cornea loses its stiffness and acquires an abnormal conical shape because of a different organization of sutural lamellae. The samples were first imaged and characterized on the basis of forward/backward SHG ratio, finding a different ratio in keratoconus with respect to both the healthy cornea and cross-linked keratoconus. The inclination of corneal sutural lamellae was then characterized by means of a three-dimensional correlation analysis on SHG images, acquired using a backward detection geometry. Such method provided good discrimination capabilities, demonstrating that this approach can be used not only for diagnosing keratoconus in a very early stage, but also for performing treatment follow-up on cross-linked corneas.
A Minimalist Dynamic Climbing Robot: Modeling, Analysis and Experiments

Dynamics in locomotion is highly useful, as can be seen in animals and gradually in robots. For instance, chimpanzees are dynamic climbers that can reach virtually any part of a tree and even move to neighboring trees, while sloths are quasistatic climbers confined only to a few branches. Although dynamic maneuvers are undoubtedly beneficial, only a few engineered systems use them. This is because the design and control are often extremely complicated. Moreover, these dynamic robots mostly locomote horizontally. This work extends dynamic robotic legged locomotion from horizontal motions such as walking, hopping, and running, to vertical motions such as leaping maneuvers. The proposed mechanism, called DSAC for Dynamic, Single Actuated Climber, resembles the motion of an athlete jumping and climbing inside a chute. Whereas this environment is an unnavigable obstacle for a slow, quasistatic climber, it is an invaluable source of reaction forces for a dynamic climber. The mechanism proposed here will try to achieve dynamic, vertical motion while retaining simplicity in design and control. DSAC comprises only two links connected by a single oscillating actuator. This simple, open loop motion, almost miraculously propels the robot stably between two vertical walls. A change in the mechanism’s parameters not only changes the stability of the system but also changes the climbing pattern. I propose to use DSAC to explore minimalist approach to locomotion. I propose first to identify the optimal parameters and control for climbing in this open-loop paradigm by studying variations in robot parameters, environment parameters and control input. Only then will I incrementally add feedback and mechanical complexity to achieve climbing in more difficult environments such as piecewise linear walls.
Switchable multiwavelength ytterbium-doped fiber laser using a non-adiabatic microfiber interferometer

In this paper, we have successfully demonstrated a stable dual, triple and quad-wavelength generation of ytterbium-doped fiber by incorporating a non-adiabatic microfiber interferometer (N-MI) into the laser ring cavity. Three sets of dual-wavelength, two sets of triple-wavelength and one set of quad-wavelength with the same wavelength spacing of 4.24 nm for all sets of multiwavelengths over the range of 1035 nm to 1050 nm are obtained by means of a nonlinear polarization rotation mechanism. The side-mode suppression ratio (SMSR) is ~53 dBm while the wavelength fluctuation and maximum power are 0.01 nm and less than 0.6 dB, respectively. Such features offer flexibility in multiwavelength generation and a stable output, with addition to a reliable system at an ambient temperature.
Object Segmentation using Mean-shift with Grid-mask for Grab Cut Algorithm

In this paper, we propose a novel method for automatic object segmentation using Mean shift with Grid-mask for Grab Cut algorithm. The main idea of proposed method is a rapid and exact technique for extracting initial foreground information using Mean shift with Gridmask then we make initial rectangle around estimated initial foreground. And then Grab Cut algorithm is applied to segment foreground form background based on initial rectangle provided by previous process. In order to evaluate our proposed method, we compare the proposed method with several competitive automatic methods on the MSRA database which has 1000 images with ground truth. The scheme successfully segments objects without prior knowledge with both higher precision and better recall than competitive methods.