Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-cultural Adaptation of the Childhood Executive Functions Battery (CEF-B) to Brazilian Portuguese

1 Endereço para correspondência: Laboratoire de psychologie des Pays de la Loire. Université d’Angers, 11, boulevard Lavoisier, 49045 Angers, France. Tel. : +330 673 318 977. E-mail: a.bernardo@univ-angers.fr Artigo derivado da Dissertação de mestrado de Amanda de Lourdes Bernardo Guerra com orientação de Izabel Augusta Hazin Pires, defendida em 2016 no programa de pós-graduação de Psicologia da ‘Universidade Federal do Rio Grande do Norte. ABSTRACT This study aimed to describe the processes of translation and cross-cultural adaptation to Brazilian Portuguese of the Childhood Executive Functions Battery (CEF-B), designed to evaluate executive functions in children and adolescents from 6 to 16 years of age. Six steps were carried out to ensure the quality of the processes: 1. instrument translation into the new language; 2. synthesis of the translated versions; 3. evaluation of the synthesized version by experts; 4. evaluation by the target population; 5. back-translation and 6. pilot study. We sought to ensure the translation and adaptation properties of the CEF-B in terms of semantic, idiomatic, experiential and cultural equivalence between the instructions in the original language and the target language. Results showed preliminary evidence of cultural adequacy and a satisfactory comprehension of the instrument instructions by the target population.
The relative deprivation trap: How feeling deprived relates to the experience of generalized anxiety disorder

Introduction: How income inequality associates with poorer mental health remains unclear. Personal relative deprivation (PRD) involves appraising oneself as unfairly disadvantaged relative to similar others and has been associated with poorer mental health and negative cognitive appraisals. As generalized anxiety disorder (GAD) is associated with negative cognitive appraisals, PRD may relate to the experience of GAD and its cognitive predictors, intolerance of uncertainty (IU), positive beliefs about worry (PBW), negative beliefs about worry (NBW), and experiential avoidance (EA). Method: In two observational studies (Study 1, N = 588; Study 2, N = 301) participants completed measures of PRD, cognitive predictors and symptoms of GAD, subjective socioeconomic status (SES), self-efficacy, and self-esteem. Results: A relationship between PRD and GAD was found across studies, which was simultaneously mediated by IU and NBW. These results remained when controlling for subjective SES but were weakened when controlling for self-concept factors. Discussion: This research supports the possibility that the experience of relative deprivation may “trap” people in thinking patterns that contribute to anxious symptomology. Citation: Nadler, J., Day, M. V. , Beshai, S. , & Mishra, S. (2020). The relative deprivation trap: How feeling deprived relates to symptoms of Generalized Anxiety Disorder. Journal of Social and Clinical Psychology, 39(10), 897-922. https://doi.org/10.1521/jscp.2020. 39.10. 897 Note: This manuscript is the authors’ copy. The published version is available here: https://guilfordjournals.com/doi/abs/10.1521/jscp.2020. 39.10. 897
Application of renewable technology for mitigating environmental hazards of palm oil industry: Strategy for climate change and adaptation

1 Department of Agricultural Engineering, Faculty of Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 Department of Civil Engineering, Faculty of Engineering, Osun State Polytechnic Iree, Nigeria. 3 Institute for Climate Change and Adaptation, University of Nairobi, Nairobi, Kenya. 4 Faculty of Engineering and Science, University of Greenwich Central Avenue, Kent, United Kingdom.
Running head: CROSS-ETHNIC FRIENDSHIPS AND RESILIENCE 1 The Relationship Between Cross-Ethnic Friendships and Psychological Resilience in Adolescence

Resilience is defined as the ability to adapt in the face of external stressors. It is influenced by many social factors including the quality of close interpersonal relationships. Prior research suggests that same-ethnic friendships are of higher quality than cross-ethnic friendships. However, there has not been research done on the specific relationship between cross-ethnic interaction and resilience. The aim of this study was to investigate the relationship between the racial-ethnic composition of close school friends and resilience. I hypothesized that adolescents with more ethnically similar friendships would show higher rates of psychological resilience than those with fewer ethnically-similar friendships. This was examined by comparing participant ethnicity with the ethnicity of their friends in an ethnically diverse sample of 278 male and female high school students. I also investigated whether ethnic identity moderated the relationship between ethnic similarity of friends and resilience. Regression analyses suggested no significant relationship between ethnic friendship composition and resilience. However, there were significant impacts of gender identity and socioeconomic status on resilience levels. While ethnic identity did not appear to be a moderator, there was a significant positive relationship between the strength of ethnic identity and psychological resilience. Thus, ethnicity of friends does not appear to be a factor in determining adolescent resilience level, but ethnic identity does.
Effect of Sunlight Versus Shade on the Magnitude of Presence of Forensically Important Diptera in Toco, Trinidad

​Various environmental factors can affect the duration of dipteran life cycles, a cycle important in forensic entomology when determining the time of colonization, which could be a time of death estimate. The amount of sunlight a carrion receives can influence the magnitude of presence of Diptera. In order to investigate, FTD2 disposable fly traps were used in lieu of carrion and were placed in direct sunlight and under shade for a total of 5 days between approximately 0700 and 1730. Diptera were collected and counted daily. Monitors of Ambient Light Intensity (MALI) sensors were used to determine the amount of sunlight a trap received by counting pulses of light outside a preset lux meter minimum or maximum. Shaded traps collected higher numbers of flies as time progressed while traps placed in direct sunlight collected fewer. A Fisher Exact test was used, and it was determined that there was a statistically significant trend that the flies preferred the shaded traps over the sunlit. Further trials and emphasis on ultraviolet radiation could be beneficial in determining a more statistically significant trend.
A Framework of Review Analysis for Glaucoma Based on Image Processing

: Glaucoma is the way of expression relate to a category of eye diseases that slowly effect in loss of vision by invariably damaging the optic nerve, the nerve that convey visual images to the brain. People origin blindness due to glaucoma is 4.5 million globally. There is no cure for glaucoma yet, a rapid detection of it can help to prevent vison loss. Here we analyzed many paper which used different imaging techniques. The proposed framework aims to enable user clear idea, concept and methodology that are studied earlier.
Research of control algorithm of traction drive of a mining dump truck using simulation models of motion

The paper describes control algorithms for a combined power plant made according to a sequential scheme for a 6x6 mining dump truck. The general approaches used in the development of control systems for similar power plants and transmissions are described. The methods of testing and simulation mathematical models used to analyze the operation of control systems for combined power plants are presented. As an example of control systems, the architecture of the developed system used for a mining dump truck is given. The developed control system and simulation model make it possible to analyze the behavior of the traction motor, energy storage device, transmission elements, and operational properties.
Age Group Classification using Convolutional Neural Network (CNN)

Age group classification is a complex task that is used to classify facial images or videos into predetermined age categories. It is an important task due to its numerous applications such as health, security, authentication system, recruitment, and also in intelligent social robots. Convolutional Neural Network (CNN) has recently shown excellent performance in analysing human face images and videos. This paper proposed an age group classification task using CNN that trained and tested with an All-Age Face (AAF) dataset. FaceNet deep learning model that uses CNN was applied in this study to compute a 128-d embedding that quantifies the face of the age group. The experiment included two age groups: Adolescence and Mature Adulthood. The proposed age group classification model achieved 84.90% accuracy for the training images and 85.12% accuracy for the test images. The experimental results showed that CNN is capable of achieving competitive classification accuracy throughout two age groups in the AAF dataset with unbalanced data distribution.
The multi-bay manufacturing facility layout problem

The multi-bay manufacturing facility layout problem is concerned with determining the most efficient layout in a facility that is defined by parallel bays, where the bays are connected at one or both ends by an inter-bay material handling system. This problem arises in a wide-variety of manufacturing contexts; e.g. heavy manufacturing and the semiconductor industry. The solution methodology is a two-stage procedure: (1) assigning departments to the bays and then (2) determining the layout of each bay. We present our procedure, which is based on mixed-integer programming and dynamic programming, to determine the optimal overall layout under the assumption of one inter-bay material handling system and a linear ordering of departments within the bays. Finally, we illustrate the procedure by solving four example problems. The runtimes to solve these problems highlight the feasibility of using our procedure as a design tool.
Project risk management using multiple criteria decision-making technique and decision tree analysis: a case study of Indian oil refinery

This study proposes an integrated analytical framework for effective management of project risks using combined multiple criteria decision-making technique and decision tree analysis. First, a conceptual risk management model was developed through thorough literature review. The model was then applied through action research on a petroleum oil refinery construction project in the Central part of India in order to demonstrate its effectiveness. Oil refinery construction projects are risky because of technical complexity, resource unavailability, involvement of many stakeholders and strict environmental requirements. Although project risk management has been researched extensively, practical and easily adoptable framework is missing. In the proposed framework, risks are identified using cause and effect diagram, analysed using the analytic hierarchy process and responses are developed using the risk map. Additionally, decision tree analysis allows modelling various options for risk response development and optimises selection of risk mitigating strategy. The proposed risk management framework could be easily adopted and applied in any project and integrated with other project management knowledge areas.
Optical flow estimation using the Fisher–Rao metric

The optical flow in an event camera is estimated using measurements in the address event representation (AER). Each measurement consists of a pixel address and the time at which a change in the pixel value equalled a given fixed threshold. The measurements in a small region of the pixel array and within a given window in time are approximated by a probability distribution defined on a finite set. The distributions obtained in this way form a three dimensional family parameterized by the pixel addresses and by time. Each parameter value has an associated Fisher–Rao matrix obtained from the Fisher–Rao metric for the parameterized family of distributions. The optical flow vector at a given pixel and at a given time is obtained from the eigenvector of the associated Fisher–Rao matrix with the least eigenvalue. The Fisher–Rao algorithm for estimating optical flow is tested on eight datasets, of which six have ground truth optical flow. It is shown that the Fisher–Rao algorithm performs well in comparison with two state of the art algorithms for estimating optical flow from AER measurements.
Vane induced two phase flow mixing

Micromixers are used for mixing of multiphase fluids in microchannels. Passive micromixers help in mixing of fluids by having a designed periphery in their structure. In the current study, a Y micro-channel section of 25 mm length with an inlet diameter of 2 mm is considered. Vane shaped micromixers are placed inside the channel to mix fluids of two different concentrations. The vanes are positioned at specific places inside the channel to enhance mixing in the stratified flow stream. The presence of vanes during the flow induces mixing of the stratified fluids without requiring additional components. The study is carried out using COMSOL Multiphysics. The mixing index increases with increase in the number of vanes and no considerable change in velocity is observed downstream of the last vane. Further, when the thickness of the vane is increased, it is found that the mixing index also increases.
Comparison of simulation-based methods and metaheuristic optimization algorithms for optimizing window design by considering daylighting and heat transfer in a tropical region of Indonesia

This study presents evaluation and comparison of simulation-based methods and metaheuristic optimization algorithms on building design models, focussing on daylight availability maximization and energy consumption minimization. The simulation-based method was presented using Rhino/Grasshopper software supported by the Ladybug, Honeybee, and Octopus optimization plugins; while MOPSO was chosen to calculate the metaheuristic optimization algorithm. The result indicated that OTTV values of the optimum design were respectively in the range of 24.06 W/m2 to 34.15 W/m2 for Octopus optimization and 25.19 W/m2 to 34.99 W/m2 for MPSO; and the WWR value for Octopus optimization and MOPSO were in the range 15% to 23% and 15% to 26%, respectively. While both methods showed similar results, the time duration for simulating in Rhino/Grasshopper was much longer compared to calculating the algorithm using MATLAB, indicating that simulation-based was less effective.
Application of Acoustic Emission on Fault Diagnosis of Rolling Element Bearing

Because AE (Acoustic Emission) signals in bearing fault monitoring unavoidably mixed various noise which lead to wide band characteristics, in this paper, the collected AE signals are pre-processed by EMD (Empirical Mode Decomposition) algorithm to extract useful information in the concerned frequency range, after that, power spectrum is used to locating analysis and pattern recognition. Experiment show that this method could improve the detection accuracy in rolling element bearing fault diagnosis.
INTEGRATING NEES RESEARCH INTO ADVANCED ANALYSIS AND DESIGN COURSES

A multi-institutional collaborative project, investigating soil-foundationstructure-interaction (SFSI), is being used to demonstrate collaborative research using the George E. Brown Network for Earthquake Engineering Simulation (NEES). The research plan involves computational simulation models as well as testing of a scaled bridge and complementary shake table, static, centrifuge and field tests of scaled bridge components to develop improved models of SFSI. To achieve one of the goals of the project, i.e. synthesize research and educational activities, two educational modules are under development. The first module explores the nonlinear behavior of individual reinforced concrete bridge columns and the second explores the effect of soil modeling assumptions on the analysis of a bridge bent. Each of these modules integrates results of analytical studies and experimental data with structural analysis and design concepts currently taught in the senior year or master's degree, to help students understand the limitations of modeling assumptions that they make. This paper discusses the two educational modules and the benefits and challenges associated with integrating experimental research and curriculum development.
MRI denoising using UNLM filter in spatial domain

— MRI is used in the medical areas to provide a high quality imaging of the soft tissues of the human body. However, the MRI scanner technology has undergone a lot of improvements in the spatial resolution, speed of acquisition and signal to noise (SNR) ratio. But still the MRI images are corrupted by so many artifacts and noises. Identification and the reduction of these noisy components in MRI images is essential to improve the validity and accuracy of technologies designed to map the structure and function of the human body. Rician noise is commonly found noise in MRI images. The main aim is to study and improve the performance of the Unbiased Non Local Means filter to remove the rician noise from MRI images. As the UNLM filter is the extension of the NLM filter. NLM filtering takes the mean of all the pixels in the image weighted by how similar these pixels are to the target pixel, which may include pixels whose original gray value do not match the value of the original central pixel. The performance of the UNLM filter can be improved by providing only the right pixels for NL means averaging process in the squared neighborhood.
Analysis of the swimming of long and narrow animals

The swimming of long animals like snakes, eels and marine worms is idealized by considering the equilibrium of a flexible cylinder immersed in water when waves of bending of constant amplitude travel down it at constant speed. The force of each element of the cylinder is assumed to be the same as that which would act on a corresponding element of a long straight cylinder moving at the same speed and inclination to the direction of motion. Relevant aerodynamic data for smooth cylinders are first generalized to make them applicable over a wide range of speed and cylinder diameter. The formulae so obtained are applied to the idealized animal and a connexion established between B/λ, V/U and R1. Here B and λ are the amplitude and wave-length, V the velocity attained when the wave is propagated with velocity U, R1 is the Reynolds number Udρ/μ, where d is the diameter of the cylinder, ρ and μ are the density and viscosity of water. The results of calculation are compared with James Gray’s photographs of a swimming snake and a leech. The amplitude of the waves which produce the greatest forward speed for a given output of energy is calculated and found, in the case of the snake, to be very close to that revealed by photographs. Similar calculations using force formulae applicable to rough cylinders yield results which differ from those for smooth ones in that when the roughness is sufficiently great and has a certain directional character propulsion can be achieved by a wave of bending which is propagated forward instead of backward. Gray’s photographs of a marine worm show that this remarkable method of propulsion does in fact occur in the animal world.
Rainfall Distribution and Trend Analysis of the Godavari River Basin, India during 1901-2012

India is mainly an agricultural-based country it is vital to understand the water consumption for its agricultural needs. This study made an attempt to perform rainfall trend analysis by estimating the key indicators of precipitation changes. The study has considered the tools namely linear trend analysis, Mann-Kendall test, and Sen.’s slope estimation. Rainfall data sourced from IMD for duration of 102 years (1901-2002) of 49 districts on the entire Godavari river basin is considered. Among the 49 districts, 20 districts have statistically significant annual rainfall at a 95% confidence level. Out of 20 districts, 13 districts are showing a positive trend with 95% confidence. 10 districts have shown a decreasing trend with the significance. The majority of districts that showed the upward trend are located in the regions of Manjira, Maneru, and Lower Godavari Sub basins. Seven districts are showing the downward trends that are located in the Wardha, Wainganga, and Indrāvati Sub basins. District-wise and river sub basin-wise studies have more necessary in order to understand the rainfall impact with climate changes.
Performance Analysis of 3D Massive MIMO Cellular Systems with Collaborative Base Station

Massive MIMO have drawn considerable attention as they enable significant capacity and coverage improvement in wireless cellular network. However, pilot contamination is a great challenge in massive MIMO systems. Under this circumstance, cooperation and three-dimensional (3D) MIMO are emerging technologies to eliminate the pilot contamination and to enhance the performance relative to the traditional interference-limited implementations. Motivated by this, we investigate the achievable sum rate performance of MIMO systems in the uplink employing cooperative base station (BS) and 3D MIMO systems. In our model, we consider the effects of both large-scale and small-scale fading, as well as the spatial correlation and indoor-to-outdoor high-rise propagation environment. In particular, we investigate the cooperative communication model based on 3D MIMO and propose a closed-form lower bound on the sum rate. Utilizing this bound, we pursue a “large-system” analysis and provide the asymptotic expression when the number of antennas at the BS grows large, and when the numbers of antennas at transceiver grow large with a fixed ratio. We demonstrate that the lower bound is very tight and becomes exact in the massive MIMO system limits. Finally, under the sum rate maximization condition, we derive the optimal number of UTs to be served.
Detecting Phishing E-mails Using Text Mining and Features Analysis

Phishing e-mails are used by malicious actors with the aim of obtaining sensitive information from a victim, deceiving or blackmailing them. An inattentive or uninformed user may often fail to recognise if an e-mail is sent by an authentic sender or is a scam. We therefore sought to develop a method that can effectively and efficiently detect phishing e-mails and report them to the user. We analyse all the information available on receipt of the e-mail both statically and performing text mining on the content and subject of the e-mail. In addition to indicating weather e-mails are suspicious, the degree of accuracy with which the above statement is made is also reported, and the aspects of the e-mail that are characteristic of a phishing e-mail are highlighted. Excellent results were achieved with our methodology, reaching 99.2% accuracy.