Miracle-dz/UniFAR-FTUs huggingface dataset:
An Energy Efficient Method for Wireless Sensor Networks Using Non-overlap Sensing Range

The high priority task in wireless sensor network (WSN) is energy saving as the energy is a scare resource. The Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is proposed primarily for saving energy and increasing the network lifetime in WSN. In the LEACH protocol, the entire geographic area is covered with many clusters, each cluster has many sensor nodes and only one node is elected as the cluster head by a specific set of sensor nodes. The cluster head is responsible for collecting the data from the sensor nodes within the cluster. In the LEACH, the sensor nodes send some duplicated information to cluster head. This duplicated information consumes unnecessary energy for transmitting data from sensor nodes to cluster head. In this paper, we have considered this as problem and provided a solution to eliminate the information duplicating at the sensor nodes. The simulation results show that the proposed protocol gets improvement over the LEACH in reducing the energy consumption.
Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs

Single-case experimental data are analyzed with a variety of statistical methods, but no one effect size measure has demonstrated clear superiority. The time-series nature of single-case designs requires special consideration for deterministic processes like baseline trend and autocorrelation when estimating treatment effect size. However, standard correction methods are limited because they assume perfectly precise statistical estimation. Two emerging approaches address the poor precision of single-case effect size indices: multilevel modeling and computer-intensive simulation. A new simulationbased method, Interrupted Time-Series Simulation (ITSSIM), is introduced and compared to multilevel methods. ITSSIM performed similarly to multilevel methods in a small field-test. It may be a useful option for single-case investigators because it yields easily interpretable effect size and reliability (standard error) estimates and it models several important data parameters, including baseline trend, leveland slope-change effects, and autocorrelation. ITSSIM is also accessible as a user-friendly standalone software application that requires no knowledge of statistical computing or syntax. Introduction Single-case experimental designs are an increasingly popular method in
PHASOR MEASUREMENT UNIT TESTING AND CHARACTERIZATION

The power grid is a complex system composed of many different elements. Knowledge of electrical waveform content across the grid is key to managing power and maintaining stability. Electrical waveforms can be represented mathematically as time-varying phasors. Electrical phasors give information pertaining to the magnitude of the waveform as well as the phase relationship of the waveform to a reference. A Phasor Measurement Unit (PMU) is a device that is installed at a node on the power grid and measures electrical phasors. The potential of near real time phasor information is powerful and has driven PMU application technology forward at a rapid pace over the last decade. The IEEE C37.118 standard establishes requirement guidelines for PMU performance. Before PMUs are implemented in real time applications researchers may wish to test PMUs to obtain specific device behavior. This thesis will describe the development of a robust PMU test bench that is capable producing dynamic input signals. Dynamic testing and analysis will reveal time domain and frequency domain characteristics of the PMU under test. A discussion on the reported response and the real time response of PMUs will be covered to give more insight into the real time behavior and application of PMUs. Conclusions will take one last look at the project and discuss the potential of this work as a starting point for future PMU testing.
Health Monitoring of Closure Joints in Accelerated Bridge Construction: A Review of Non-Destructive Testing Application

Accelerated Bridge Construction (ABC) uses prefabricated elements that are made continuous using cast-in-place joints. Deck joints are normally referred to as “Closure Joints. ” There have been concerns about long-term durability of these joints that are expected to become rapidly serviceable. Normally, they contain reinforcing bars and enclosures of various shapes that in some cases create congestion within the joint. The specific nature of the joint application, in-situ casting, curing, material incompatibility, cold joints, cavities and steel congestion contribute to creating the potential for leaving defects and anomalies in the closure joints. This, in turn, results in a higher potential for exposure and other detrimental effects with possible degradation in time, and therefore reducing the strength and serviceability of the joint, hence creating a weak link for the structure. The long-term deflections and environmental loading will only exacerbate the situation. Hence, evaluation and health monitoring of the closure joints becomes inevitable. Despite the wide use of non-destructive testing (NDT) methods for bridge structures in general, a concerted attempt for categorization of these methods, comparison of capabilities, and selection of methods most applicable to closure joints is lacking. To address this, a research project was carried out as part of activities in the Accelerated Bridge Construction University Transportation Center (ABC-UTC) of Florida International University. This study included a comprehensive literature review with a focus on NDT methods applicable to health monitoring of ABC closure joints. The study focused on joint types relevant to precast concrete decks commonly used for ABC bridges, therefore, FRP (fiber reinforced plastic), timber (wood), and steel of any shape were excluded for the time being. The study resulted in categorizing the most common closure joints in five general groups based on their features affecting the application of the NDT methods. Accordingly, the most promising NDT methods were identified taking into account the distinctive defects and anomalies associated with closure joints. These methods were evaluated for their efficacy, ease of use and other characteristic influencing their use as preferred methods for each type of joint. A flowchart was introduced to assist in selection of the most applicable NDT method to each type of defect in closure joints. This paper summarizes the results of this study.
A STUDY TO EXPLORE LEARNING STYLE PREFERENCES OF PHARMACY STUDENTS WITH REGARD TO PHARMACEUTICAL CALCULATIONS

Objective: Pharmaceutical calculations are an essential aspect of learning for pharmacy students in order to avoid drug dose errors and maintain patient safety in future practice. Learning styles influence how lecturers approach the teaching-learning process. So far no specific learning preference is believed to be most appropriate for the pharmacy curricular; however certain learning styles are favoured by students as they improve their understanding of course material, knowledge and performance. Methods: 148Master of pharmacy participants from the second and third year were given a questionnaire to complete during a compulsory Individual Readiness Assurance Test session. Participants were restricted to just one option. Results: Workshops with a tutor was the most selected (36%) followed by 25% of participants favouring formative assessments, 28% selected workbooks alone, 37% for whole-class lecturers and videos option was the least selected. Reasons for the most and least preferred learning styles were highlighted and separated into advantages and disadvantages using themes. In the knowledge test; 92% of participants selected “unsure” or “didn’t know” the answer, 29% had a partially correct answer and 19% selected incorrect answers. The overall order of ranking arose in regards to the most beneficial learning style which enhances performance. The responses revealed a variety of advantages and disadvantages which were reflected between year groups and similar to views obtained from recent literature. Students reflected a lack of understanding on extemporaneous preparation (EPs) terms used in pharmaceutical compounding practices, thus the university should consider addressing the lack of awareness and consider the best teaching-learning style in doing so. Conclusion: Overall the findings suggested that the sample students have similar views on the learning styles used to deliver pharmaceutical calculations on their academic performance to that expressed by the authors from recent published literature.
Robots in special education: reasons for low uptake

Purpose The purpose of this paper is to identify the main reasons for low uptake of robots in special education (SE), obtained from an analysis of previous studies that used robots in the area, and from interviewing SE teachers about the topic. Design/methodology/approach An analysis of 18 studies that used robots in SE was performed, and the conclusions were complemented and compared with the feedback from interviewing 13 SE teachers from Spain and the UK about the reasons they believed caused the low uptake of robots in SE classrooms. Findings Five main reasons why SE schools do not normally use robots in their classrooms were identified: the inability to acquire the system due to its price or availability; its difficulty of use; the low range of activities offered; the limited ways of interaction offered; and the inability to use different robots with the same software. Originality/value Previous studies focussed on exploring the advantages of using robots to help children with autism spectrum conditions and learning disabilities. This study takes a step further and looks into the reasons why, despite the benefits shown, robots are rarely used in real-life settings after the relevant study ends. The authors also present a potential solution to the issues found: involving end users in the design and development of new systems using a user-centred design approach for all the components, including methods of interaction, learning activities and the most suitable type of robots.
On numerical uncertainty of VOF-RANS simulations of wave energy converters through V&V technique

Computational fluid dynamics (CFD) is becoming an increasingly popular tool in the wave energy sector, and over the last five years we have seen many studies using CFD. While the focus of the CFD studies have been on the validation phase, comparing numerically obtained results against experimental tests, the uncertainties associated with the numerical solution has so far been more or less overlooked. There is a need to increase the reliability of the numerical solutions in order to perform simulation based optimization at early stages of development. In this paper we introduce a well-established verification and validation (V&V) technique. We focus on the solution verification stage and how to estimate spatial discretization errors for simulations where no exact solutions are available. The technique is applied to the cases of a 2D heaving box and a 3D moored cylinder. The uncertainties are typically acceptable with a few percent for the 2D box, while the 3D cylinder case show double digit uncertainties. The uncertainties are discussed with regard to physical features of the flow and numerical techniques.
Self-Efficacy of Teachers in Initial Training: A Comparison between the Populations of Two Universities

This article carries out a comparison of the self-efficacy of teachers in initial training, between the populations of two universities. A questionnaire with two Likert scales is applied in two samples, 836 subjects from the Universidad Nacional (Costa Rica) and 588 from the Universidad de Granada (Spain). The data is reviewed by means of descriptive and inferential statistics (95% confidence interval), correlation tests (Kendall τ correlation coefficient) and variance analysis (Mann–Whitney U test and Kruskal–Wallis H test). The results indicate that both populations show high levels of self-efficiency during their initial training, where the self-perceived capacity to pay attention to the explanations and instructions of the teachers excels. Meaningful differences are observed with getting ahead with difficult situations, doing the extra-class tasks and having motivation in the less interesting classes.
Happiness, well being and work: a possible encounter in a managerial perspective?

This article starts from the examination of the historical conceptions of work and its meaning in the life of organization managers. As the interest in work, well-being and happiness increase, also increase in the same proportion the need to elaborate an appropriate taxonomy of these concepts, starting from its meaning and characteristics attributed to the work. These scores help to determine how work juxtaposes the happiness and well-being constructs. A taxonomy and its indicators help determine how juxtaposes the happiness and well being constructs. Subsidizing the theoretical studies, a field research was done with 249 executive managers of the Rio-Sao Paulo axis. The statistical treatment adopted was an exploratory factorial analysis. The research finds revealed that the pace of activity imposed on managers is closed to the original meaning of the term, suffering. It is assessed - not generalizable - that happiness, well-being and quality of life at work, are not isolated constructs, but are aligned with the aspirations of the executives, understanding that, in order to have life outside of work, there must be life in it.
Consistent estimation of the spectrum of trace class Data Augmentation algorithms

Markov chain Monte Carlo is widely used in a variety of scientific applications to generate approximate samples from intractable distributions. A thorough understanding of the convergence and mixing properties of these Markov chains can be obtained by studying the spectrum of the associated Markov operator. While several methods to bound/estimate the second largest eigenvalue are available in the literature, very few general techniques for consistent estimation of the entire spectrum have been proposed. Existing methods for this purpose require the Markov transition density to be available in closed form, which is often not true in practice, especially in modern statistical applications. In this paper, we propose a novel method to consistently estimate the entire spectrum of a general class of Markov chains arising from a popular and widely used statistical approach known as Data Augmentation. The transition densities of these Markov chains can often only be expressed as intractable integrals. We illustrate the applicability of our method using real and simulated data.
ROLE OF MEDHYA RASAYANA (NOOTROPIC HERBS) IN PRESENT SCENARIO: AN AYURVEDIC OVERVIEW

Rasayanatantra is a branch of Ayurveda which describes the measures of attaining long life, maintenance of youthfulness, increasing immunity and providing excellent nutrition to all the body tissues. Rasayana on regular practice boosts nourishment, health, memory, immunity and longevity. Rasayana can be classified as Dravyabhuta and Adravyabhuta Rasayana. Adravyabhuta Rasayana includes Aachara Rasayana and Dravyabhuta Rasayana are classified as Kamya Rasayana, Naimittika Rasayana and Ajasrika Rasayana. Medhya Rasayana (nootropic herbs) is a subtype of Kamya Rasayana and they are used with an intention or desire to improve intellect, concentration and memory. Need of attaining mental peace is increasing day by day in view of tremendous increase in the stress and strain. Medhya Rasayana described in the classics can be used as single Dravyas or in combination. Some examples from our classics are Mandukaparni, Gudduchi, Yashtimadhu, Shankhpushpi, Brahmi, Vacha, Jatamansi and Ashwagandha. Aims and Objectives: To highlight the importance of using Rasayana in today’s perspective which is bounded by stressed life and immense competition. Materials and Methods: All the relevant Ayurvedic classics with desired content matter was available which was thoroughly searched and the outcome was analyzed. Conclusion: The use of Medhyarasayana in everyday sphere is a boon to the mankind considering the amount of stress, one is surrounded by which is difficult to deal with now a days.
The Real Effects of Real Earnings Management: Evidence from Innovation

We examine the consequences of real earnings management from an innovation perspective and investigate the patent output of firms likely to be managing earnings through altering their R&D expenditures. We find that R&D cuts related to earnings management lead to fewer patents, less influential patent output, and lower innovative efficiency, compared to other R&D cuts. Our results thus suggest that real earnings management may obstruct firms’ technological progress, and highlight the potential costs of managerial manipulation of R&D expenditures in order to alter reported earnings.
Optimization of Velocity Flap Structures in High Sensitivity Macrofluidic Airflow Sensor

Automated reaction from the system is most important in fulfilling the requirement of the intelligent control system. Hence, many related studies regarding in developing the hardware of the system such as high sensitivity of the airflow sensor in detecting the changes either in user or the environment. The effect of the fast detection of the sensor through the high sensitivity of the airflow sensor have enable the system to identify and analyze the behavior of the user in higher accuracy compared to conventional system. Within the scope of airflow sensitivity, separation between two parts in the airflow sensor in altering the velocity impact have been inquired in purpose, while a few investigations in relations to determine the pressure contour of the main parts have been explored by application of using Computational Fluid Dynamics (CFD. This simulation is performed in the ANSYS program software. Thus, this study consequently intends to be focus on detection the high sensitivity of the airflow movement by distinguishing the high and low velocity impact. The optimization the airflow sensor in this study based on design parameter also done in order to design and develop a highly sensitive airflow sensor
Model Predictive Control of Load Transporting System on Unmanned Aerial Vehicle UAV

— The control system in Unmanned Aerial Vehicles (UAV), which is widely used in exploration and surveillance, target detection and tracking, remote sensing and mapping, logistics and cargo, search and rescue in dangerous areas, is very important. In this study, the model of the Load Transporting System (LTS) originally designed on UAV is obtained by linear Auto-Regressive eXogenous (ARX) model structure and the Model Predictive Control (MPC) is performed. The 4 payloads in the cubic structure can be carried by the originally designed LTS. DC servo motor is used in the LTS so that payloads can be left to the predetermined targets. When designing the MPC compared to classic PID, the limitations due to the physical properties of the LTS on the UAV are considered. The UAV autonomously flies and leaves payloads using LTS on targets.
ZnO/ZnS core/shell nanostructures based gas sensor for sensing Acetone gas at room temperature

In this paperÂ ZnO/ZnS core/shell nanostructures are used to fabricate the gas sensor which can sense low concentration of acetone gas at room temperature. Due to its reducing properties, acetone gas releases electrons to the surface of the core/shell nanorods. Therefore a sharp increase in conductivity of the sensing material was observed when the sensor was exposed to the acetone gas. The fabricated sensor exhibited excellent sensitivity towards acetone gas at room temperature and is capable of detecting it to a minimum concentration of 10 ppm. Â Â Â
Bacterial Adhesion on Lithium Disilicate Ceramic Surface Exposed to Different Hydrofluoric Solutions

The effect of Fluorine solutions on the surface and bacterial adhesion of lithium disilicate is a concern. The aim was to evaluate the surface roughness and the adhesion of Streptococcus sanguinis on lithium disilicate ceramic, under the influence of different solutions containing Fluorine. Forty lithium disilicate (IPS e.max Press Impulse) discs (2.5 × 5 mm) was divided into 4 groups (n = 10): artificial saliva (Group AS), 0.2% sodium fluoride (Group NaF), 1.23% acidulated phosphate fluoride gel (Group APF), and mouthwash (Group MW). Roughness analyses were performed before and after the immersion. The surface aspect was evaluated by scanning electron microscopy (SEM) and the adhesion of Streptococcus sanguinis were evaluated after immersion in the solutions. The data obtained were submitted to the analysis of variance (ANOVA) and the Tukey test (α = 0.05). The Group APF presented a bigger roughness (3.263), statistically different to the other solutions. The bacterial adhesion in the Group APF (5.85) presented statistical difference to the other solutions. The SEM micrographs showed a rougher surface in Group APF. The 1.23% APF gel promoted major surface roughness and bacterial adhesion and could be inadequate for the use of patients with lithium disilicate ceramic restorations. Clinical significance: The Fluorine solution can affect the lithium disilicate ceramics, generating a rough and non-esthetic surface. This altered surface could be susceptible to bacterial adhesion, being directly related with periodontal health, the longevity of the restoration and the success of the rehabilitation.
Measuring polarization mode dispersion (PMD) in optical fibers using the nonlinear effect of four-wave mixing (FWM)

Four-wave mixing (FWM) nonlinear effect is used to measure chromatic dispersion (CD) and polarization mode dispersion (PMD) spatially for different kinds of optical fiber. The back reflected signal of very high intensity pulses propagated in optical fiber is detected and one component of FWM products is used to calculate chromatic dispersion spatially. Then by controlling the state of polarization of launched light into the fiber under test, it is possible to calculate its PMD spatially.
L'usage des produits de santé naturels par les individus de 18 à 34 ans au Québec : pratiques, motivations et représentations

ii Table des matières . iii Liste des tableaux . vi Liste des figures . vii Liste des sigles . viii Liste des abréviations . ix Remerciements . xi Avant-propos . xi