Miracle-dz/UniFAR-FTUs huggingface dataset:
The Enactive Torch: Interactive Embodied Learning with a Sensory Substitution Interface

Tradicionalmente, el diseño pedagógico para las prácticas de enseñanza y aprendizaje ha estado caracterizado por procesos donde un experto activo se torna en el sostén del aprendiz pasivo mientras éste último completa de manera exitosa su meta o tarea. No obstante, a partir de la accesibilidad actual a las tecnologías de la información y al entendimiento del rol activo que juega el aprendiz, perspectivas más interactivas, corporeizadas, y contextualizadas, han comenzado a ganar espacios. En este artículo, contribuimos con un informe técnico de un estudio piloto basado en el Enactive Torch, una herramienta para el estudio científico de la percepción, la cual fue desarrollada para investigar el rol de los procesos corporeizados en la generación de experiencias perceptuales de sustitución sensorial. Utilizando este andamiaje tecnológico, un grupo de estudiantes de distintas disciplinas académicas, coordinó y llevó a cabo tres proyectos utilizando distintos métodos en cada uno, para analizar de forma cuantitativa y cualitativa los datos generados desde la perspectiva de los participantes en primera y tercera persona. A través de esta práctica, los estudiantes pudieron comprender el potencial transformativo de la tecnología y desarrollaron una visión de los desafíos que conlleva la investigación interdisciplinaria respecto a la percepción y cognición corporeizadas. Por lo tanto, el estudio puede servir como una prueba de concepto de que el Enactive Torch, como un andamiaje tecnológico, puede facilitar el tipo de aprendizaje interactivo que los estudiantes necesitan para obtener una comprensión más profunda de la experiencia perceptual del cuerpo humano y de su relación con la tecnología.
Influence of Environmental Conditions and Call Playback on Detection of Eastern Forest Owls During Standardized Surveys

Owls provide ecosystem services and play crucial roles in the environment making them important to monitor and study. However, standardized methods for most species do not exist, and we lack understanding of the effects of many environmental variables and playbacks on detection probability of owls. We performed a multispecies occupancy analysis on owl monitoring data collected from 2004 – 2013 across the state of Maine, to examine the effects of environmental variables, conspecific and heterospecific playback on detection, and general survey protocols for three forest owls: Northern Saw-whet Owl ( Aegolius acadicus ), Barred Owl ( Strix varia ), and Great Horned Owl ( Bubo virginianus ). We found that environmental variables such as cloud cover, precipitation, temperature, time of night, and wind have species-specific results, but noise resulted in decreased detection probability for all species. We did not find support for effects of snow cover or latitude on detection of any species. We also found that conspecific playback increased the detection of that species, and heterospecific playback had variable effects. Specifically, we found that Long-eared and Barred Owl playback increased the detection of Northern Saw-whet Owl, and our results suggest additional heterospecific effects may exist. Our study showed that compared to the Maine Owl Monitoring Program, surveys examining all three of our focal species can increase efficiency and lower disturbance by only broadcasting Long-eared and Barred Owl playbacks during a 10-minute survey. We recommend that future owl surveys take into account species-specific effects of conspecific and heterospecific playback, and use our results when designing survey protocols that include one or more of our focal species.
HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks

Hyperspectral (HS) pansharpening intends to synthesize a HS image with a registered panchromatic image, to generate an enhanced image with simultaneous high spectral resolution and high spatial resolution. However, the spectral range gap between the two kinds of images and the need to resolve details for many continuous narrow bands make the technique prone to spectral distortion and spatial blurring. To mitigate the problems, we propose a new HS pansharpening framework via spectrally predictive convolutional neural networks (HyperPNN). In our proposed HyperPNN, spectrally predictive structure is introduced to strengthen the spectral prediction capability of a pansharpening network. Following the concept of the proposed HyperPNN, two specific pansharpening convolutional neural network (CNN) models, i.e., HyperPNN1 and HyperPNN2, are designed. Experimental results from three datasets suggest the excellent performance of our CNN-based HS pansharpening methods.
Numerical Investigation of Coaxial Turbulent Jet

The paper presents a numerical study of a compressible and turbulent coaxial jet, using a Large Eddy Simulation type approach. This study focuses on the implementation of a high-performance and modern numerical method to meet the requirements in terms of results accuracy and calculation cost. The code was parallelized using the Message Passing Interface 'MPI' library. Inviscid fluxes are evaluated using a new linearization solver for the equations characteristic of approximate Riemann problem and the solution has been advanced over time using an explicit two-step McCormack method. The purpose of this study is to understand the initial stage of the transition process from laminar to turbulent flow in coaxial jets. Therefore, it has been determined that the first step in the transition process from laminar to turbulent flow in coaxial jets is initiated by the development of Helmholtz (primary vortices) in sheer layers, while three-dimensionalization turbulence is initiated in the second step with the emergence of secondary vortices. The transverse evolution of Reynolds tensors showed that the axial Reynolds tensor contribution is associated with primary instability while the transversal Reynolds tensor contribution is associated with secondary instability. Flow self-similarity state is obtained in fully developed turbulence region. Axi-symmetric mode predominates on each shear layer in the initial flow region. The results obtained are in good agreement with experimental results similar to this study's simulated jet.
Action Research into Project Based Learning in a Computer Design Course

This paper presents the experiences of the author and the outcomes from an action research project in an advanced course on computer design. The past experiences of the author indicated that students encountered enormous difficulties during the implementation stage of a practical design project in the course. The aim of the action research was to investigate how the students' learning experiences and outcomes could be improved. The strategies implemented centred around learning from the experiences of the peers and self assessment. Class project meetings were used as the main forum for implementing and refining the strategies over a number of cycles. The criteria for evaluation of the strategies implemented were student evaluation, project outcomes and feedback from colleagues.
Molecular dynamics modeling of a biotoxin in various temperature and pH environments and another protein interacting with small molecules

Stony Brook University Libraries. SBU Graduate School in physics and astronomy. Lawrence Martin (Dean of Graduate School), Professor Yuefan Deng - Dissertation Advisor Department of Applied Mathematics and Statistics, Professor Robert Shrock - Chairman of Defense Department of Physics and Astronomy, Professor Peter Paul Department of Physics and Astronomy, Professor Thomas T.S. Kuo Department of Physics and Astronomy, Dr. James W. Davenport - Outside Member Computational Science Center Brookhaven National Laboratory.
Automated Fuzzy Clustering of Neuronal Pathways in Diffusion Tensor Tracking

Diffusion Tensor tracking provides line trajec- tory data representing neural fiber pathways throughout the brain. However, it is difficult to display and analyze the thou- sands of resulting tracks. An automated clustering approach was devised to segment the data into major component path- ways. The fuzzy c-means (FCM) (1) clustering algorithm was used, which provides probabilistic values for cluster member- ship based on distance measures between tracks. Several dis- tance metrics were tested that included functions of distance between tracks and shape information. Using this algorithm several hundred human subcortical tracks were classified into pathways with high accuracy, compared with manual selec- tion using spatial volumes (SSV)(2). INTRODUCTION: Over the last several years diffusion ten- sor MRI (DT-MRI) has provided data with sufficient signal to noise ratio and resolution to perform accurate tracking of nerve fiber bundles in the brain (2,3,4,5). These algorithms can pro- duce thousands of tracks using whole brain data. Automati- cally segmenting this large amount of data into more manageable clusters of tracks that represent the known major fiber bundles in the brain would be extremely useful for future applications of this technique, both for research and clinical purposes. An automatic technique would not be biased in patients with brain lesions or distorted anatomy. The FCM algorithm is a robust clustering algorithm that has been used in numerous engineering and medical application. The algorithm requires the user to provide the number of desired clusters and a distance metric between members of the group to be classified. The algorithm provides probabilistic values of cluster membership for each member of the group. Following an initial seeding of each cluster with a representa- tive group member the algorithm minimized the weighted sum of squared differences within each cluster. METHOD: DT-MRI data were obtained from normal human volunteers using a single-shot echo-planar imaging pulse sequence with diffusion tensor encoding in tetrahedral and orthogonal directions on a Siemens Vision 1.5 Tesla MR sys-
COLLISION RESOLUTION TECHNIQUE IN DENSE PASSIVE READ AND WRITE RFID TAGS

RFID technology allows information to be stored and read without requiring either contact or a line of sight between the tag and the reader. For this contact-less feature, it looked as an alternative solution to bar code in the distribution industry and supply chain, as it can hold more data. During heavy deployments, signal transmissions from multiple tags result in tag collisions or confusion causing increase in identification delay, communication overhead and unnecessary energy wastage that ultimately shortens the life span of the system. This paper has meticulously presented the existing anti – collision approaches for read and write passive tags and has also discussed the limitations in detail. Based on the comprehension gained, a new proposal is also illustrated for densely deployed tags which significantly outperforms the previously proposed algorithms.
A Statistical Validation Of A Predictive QualityMethodology

The purpose of this paper is to validate by factorial analysis a methodology based on an evaluation of a series of structural parameters of a program, which is able to predict every file risk level, or in other words how prone it is to containing faults. The influence of structural parameters on the conditions which characterise a system can vary enormously. In particular, situations such as the expertise and experience of the software development staff, knowledge of the application and the tools employed, etc. significantly affect the type of structural complexity which is acceptable in a given environment and which can guarantee against the introduction of unwanted malfunctions. So, once the environment has been identified and a reasonable amount of data accumulated, it is then possible to construct a model which identifies potentially dangerous programs; moreover, this model is dynamic and can be continually recalibrated to suit the environment in question. The conclusions we have reached through the factorial analysis of data allow us to assert that the results obtained by the proposed metric and the basic assumption upon which the theoretical framework depends, are substantially confirmed.
Re-envisioning the Role of the Engineering Education Chapter at a Research-I Institution: Lessons from a Cross-disciplinary Model

Engineering Education Chapters at academic institutions are largely student-led, confined to engineering disciplines, and broadly aimed at promoting engineering and engineering education. Research and dissemination, and participation from faculty, staff, and non-engineering students and academic units in chapter activities are generally limited. In this paper, we describe a crosscollege model of an ASEE chapter that includes an interdisciplinary network of faculty, staff, and students across colleges of engineering and education in a large Research I institution. The chapter consists of five working groups: (1) K-12 engineering education, (2) undergraduate engineering education, (3) graduate engineering education, and (4) diversity and inclusion in engineering, and (5) research and dissemination. Using a bottom-up model, the working groups drive the mission of the overall chapter and an executive committee enables implementation and evaluation of initiatives proposed by working groups. To better understand and define the role of engineering education chapters at comprehensive research institutions, we report preliminary results on programs proposed by each working group as well as a scoping review of impact and role of existing active and dormant chapters. This work will identify gaps and opportunities that engineering education chapters can address, including but not limited to, supporting and enriching the academic experience of engineering students.
The Production and Characterization of Activated Carbon Using Pistachio Shell through Carbonization and CO2 Activation

In this study, Activated carbon from pistachio shell has been successfully produced through carbonization and CO 2 activation. The pistachio shell has been carbonized at 300,400,500,600,700,800,900,1000 o C temperature, 100 and 500ml/min inert nitrogen atmosphere. Char, liquid and gases yields have been investigated during carbonization process. In the carbonization, generally the solid yield decreases as the temperature increases, while the gas efficiency increases. The increase in liquid yield was lower than the gas yield. Carbonized samples were subjected to physical activation with carbon dioxide at a flow rate of 100 ml / min at 800 o C and 900 o C. As a result of carbon dioxide activation, BET surface area values were obtained in the range of 16, 66-857, 13 m 2 / g. The highest surface area was obtained as 857,13 m2 / g at 600 o C carbonization temperature, 100 ml / min nitrogen flow rate and 800 o C activation temperature 100 ml / min carbon dioxide flow rate. The mean pore diameter values of the activated carbon samples were measured in the range of 2.07-4.06 nm. The average pore size distribution of some of the samples is in a relatively narrow range and is mostly of molecular sieve size in nano pore size. According to XRD results, all samples were found to be amorphous
Fall Monitoring Device for Old People based on Tri-Axial Accelerometer

To be able to timely and effective judgment of the elderly fall, a fall monitoring device based on tri-axis accelerometer for elderly is designed. The device collects acceleration and the angle between elderly and horizontal plane of elderly people by MPU6050 tri-axial accelerometer, comparing the acceleration and angle that people and horizontal plane with threshold value to determine whether the old people fell. Delay for a period of time compared the angle and threshold again to judge the elderly in the fall still, finally send text messages to a mobile phone of guardian by GPRS module so that elderly can be helped.
Using Deep Learning for Human Computer Interface via Electroencephalography

In this paper, several techniques used to perform EEG signal pre-processing, feature extraction and signal classification have been discussed, implemented, validated and verified; efficient supervised and unsupervised machine learning models, for the EEG motor imagery classification are identified. Brain Computer Interfaces are becoming the next generation controllers not only in the medical devices for disabled individuals but also in the gaming and entertainment industries. In order to build an effective Brain Computer Interface, it is important to have robust signal processing and machine learning modules which operate on the EEG signals and estimate the current thought or intent of the user. Motor Imagery (imaginary hand and leg movements) signals are acquired using the Emotiv EEG headset. The signal have been extracted and supplied to the machine learning (ML) stage, wherein, several ML techniques are applied and validated. The performances of various ML techniques are compared and some important observations are reported. Further, Deep Learning techniques like autoencoding have been used to perform unsupervised feature learning. The reliability of the features is presented and analyzed by performing classification by using the ML techniques. It is shown that hand engineered ‘ad-hoc’ feature extraction techniques are less reliable than the automated (‘Deep Learning’) feature learning techniques. All the findings in this research, can be used by the BCI research community for building motor imagery based BCI applications such as Gaming, Robot control and autonomous vehicles. Full Text: PDF DOI: http://dx.doi. org/10.11591/ijra.v4i4. 992
Evaluation of the Working Memory Training Program for the Elderly Avaliação do Programa de Treinamento para Memória de Trabalho em Idosos

Accepted: October 30, 2018 Study conducted at Mestrado Profissional em Fonoaudiologia, Universidade Veiga de Almeida – UVA Rio de Janeiro (RJ), Brasil. 1 Setor de Fonoaudiologia, Hospital Central do Exército – HCE Rio de Janeiro (RJ), Brasil. 2 Programa de Pós-graduação em Engenharia Elétrica, Laboratório de Processamento de Sinais e Instrumentação – LAPSI, Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET-RJ Rio de Janeiro (RJ), Brasil. 3 Programa de Pós-graduação em Linguística, Laboratório de Acesso Sintático – ACESIN, Universidade Federal do Rio de Janeiro –UFRJ Rio de Janeiro (RJ), Brasil. Financial support: CNPq (PQ 312079/2016-8) and FAPERJ (CNE 203.055/2017). Conflict of interests: nothing to declare. ABSTRACT
Mobile Device Application to locate an Interest Point using Google Maps

Location-based service is a service mechanism that generates geographical location information. This service will certainly give much benefit as there are many people who would like to find public facilities quickly and easily. The needs to know the existence of public facilities quickly and easily is of great demands in the society. Based on the above problems, it is necessary to develop an application that can get any access to the geographical location in mobile phones. Information from this application is expected to help searching for such public facilities. This Searching for interest point information was read using the Location API in Xcode IOS 4.2. The resulting information was displayed on the application of the iPhone. From the test results, the information of the position was influenced by the availability of the information service provider, carrier signal strength, and mobile phone capabilities
Experiences of Collaborative Behavioral Health-Care Professionals: Implications for Social Work Education and Training

ABSTRACT Although interprofessional literature increasingly emphasizes collaboration in delivery of integrated health-care services, practitioners’ views on service implementation are less known. This study explored provider perspectives on collaboration in two Los Angeles County health-care initiatives based on the chronic care model: one focused on provider collaboration, the other on service access and organization-level collaboration in designated neighborhoods. De-identified transcripts were analyzed from a public health-care forum featuring professionals (five social workers, a psychologist, an educator, and a paraprofessional health promotor) purposively selected from the initiatives. Core themes pertained to benefits, challenges, training needs, and potential social work roles in these integrated health-care settings. Results offer recommendations for high-quality collaborative health-care service provision and development of social work curricula and workforce training.
Social Imaginary and Social Representations of Brazil

The image of the country has been an issue in Brazil since it became a nation (1822). Thistext will present some research aimed at understanding the change of social thoughtreferring to Brazil. The theoretical concern were the dynamics of SR, their transformation,and images: How and when do hegemonic representations, which are an importantcomponent of social thought, change? How are images woven into this fabric? How can wesee it in the construction of SR? Three studies (two of which used moving images) will beintroduced as the path to a major research work based on mental maps. This paper describesthe path to this research, its relation with the imaginary institution of Brazil. It will startwith some historical background to help understand the context of the object studied. Thenthe research work previous to this study will be summarized. The second part will presentthe work with mental maps of Brazil. At last, some considerations about the potential of theuse of drawings in social representation research will be made.
Estimation of Strength for the Sensitive Element of Si-Flex-Type Compensating Pendulum Accelerometer by the Method of Finite Element Analysis

This paper shows the process of determining the permissible overloads acting on the sensitive element of the pendulum compensating accelerometer. The sensing element is a pendulum made of monocrystalline silicon in the form of a plate. The estimation of permissible overloads was carried out by the method of finite element analysis using modern computer aided design software. To check the adequacy of the results obtained, physical experiments were carried out, during which the pendulums were loaded along one of the axes.