Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Placement of Power Factor Correction Capacitors Using a Discrete Teaching Learning Based Optimization

Energy saving is one of the major concerns of the utility engineers. One problem leading to excessive power consumption is the system bad power factor. A low power factor implies a rise in the current drawn from the transformers which leads to an excessive electricity bill and serious problems on the transformer loading. To deal with this problem, many techniques have been proposed. These include the reactive power compensation and the placement of corrective capacitor banks. This paper contrasts two techniques to place capacitors in a distribution system. The first uses the Teaching Learning Based Optimization (TLBO) to solve the optimal capacitor placement problem in electric distribution systems. The second uses ETAP software and its integrated tool of optimally placing power factor correction capacitors. To demonstrate the efficacy and compare these methods, they were applied to conventional bus systems and simulation results of the two methods are illustrated. Key-Words: Power factor correction, Teaching Learning based Optimization, method, optimization, capacitor placement, energy saving, energy management, smart grids.
Statistical Evaluation of the Equivalence Scale Based on Joint Accommodation for Households of the Russian Federation

In this article an evaluation of equivalence scales for households of the Russian Federation is made using the data from “Russian monitoring of the economic situation and public health HSE (RLMS-HSE)” for the year 2013. Calculation of equivalence scales is done through a regression estimate of the Engel curve. Identified on the basis of the value of the resulting regression model scale are significantly different from the official scale of the Federal State Statistics Service of the Russian Federation. The authors have shown that it has significant implications for the evaluation of the relative poverty of certain vulnerable groups, in turn, has great significance for the implementation of targeted social policies. Keywords: equivalence scale, poverty, household, economies of scale, inequality, the Russian Federation JEL Classifications: C83; C35; D63; D14; H31
A Review on MAV Design Challenges

Micro Air Vehicle (MAV) design imposes several technical challenges due low aspect ratio sizing (LAR) and complexsystem level of design requirement. Thus, a detail design consideration must be carried out to avoid t he complexity and complication of aerodynamic-structural behavi our. Thus, this paper intend to highlight the recen t challenges in designing the MAV. The review are foc used more on aerodynamic impact and structural complication due to the selection of basic component on MAV such as wing planform design, fuselage design , propeller effect and control surface actuation Based on these revi ew, there are several solutions was invented with view to improve the conventional MAV design. © 2016 AENSI Publisher All rights reserved
Operation of Enterprise Resource Planning System Implementation Compatibility towards Technical Advancement

The Execution of ERP systems has been perplexing factor for many firms. Many establishments have accepted that the operation of ERP system is a massive hindrance until the flow of process is organized carefully. As information technology is booming its prerequisite for organizations to realize the prominence of technical advancement and compatibility in work environment. A complete review was done to ascertain the features and strategic aids of ERP enactments using the retorts from 120 firms. The respondents were approached with orderly framed questionnaires, thereby giving them ample time to come out with their own thoughts. The effects of this learning provide assistance for the vendors, higher officials and ERP specialists to be more competent in handling the execution of ERP with their inadequate possessions there by augmenting the business. It acts a pathway for the concerns to realize their potent and extend their business platform.
BEAD BASED TEMPERATURE CONTROLLABLE MICROCHIP FOR CANCER DIAGNOSIS

This paper reports a novel micro total analysis system for the purification and identification of the affinity-captured proteins. We describe integrated and efficient micro chip for protein purification and digestion for MALDI-TOF analyses. At first, disease protein is purified by passing the micro chamber from a protein mixture or human whole serum and released from the micro affinity beads by thermal heating. Purified protein is then transfer to the hole for trypsin digestion. The final sample is analyzed by MALDI-TOF. All the processes could be finished successfully within one hour, which renders MALDI-TOF analyses of a target protein quite simple.
Influence of various tillage practices on soil physical properties and wheat performance in different wheat-based cropping systems

Excessive tillage in conventional agriculture systems may cause plough pan, which alters soil physical properties, and thus adversely affects the crop growth and productivity. This study was conducted to monitor the effect of different tillage practices in wheat-based cropping systems on soil physical properties, allometry and grain yield of wheat. Wheat was planted in different cropping systems (viz. fallow-wheat, rice-wheat, cotton-wheat, mungbean-wheat and sorghum-wheat with zero tillage, conventional tillage, deep tillage and on two types of beds (60/30 cm with four rows) and (90/45 cm with six rows). Interaction between different tillage practices and cropping systems had significant effect on soil bulk density and total porosity, wheat allometry and grain yield. Minimum bulk density tied with higher total porosity was recorded in both types of bed sowing followed by deep tillage. This improvement in soil physical properties caused improvement in leaf area index and duration, specific leaf area, crop growth, and net assimilation rates. As a result, the productivity of bed sown wheat was better; however, grain yield of zero tilled wheat was low due to poor crop growth and net assimilation rate. Wheat productivity was substantially low when planted after sorghum; nonetheless, and was quite high when sown after mungbean. In crux, wheat planting on beds after mungbean is the best option considering the long-term environmental sustainability of wheat-based cropping systems. © 2016 Friends Science Publishers
Deep Learning for Social Media Analysis in Crises Situations (Position paper)

Social media has become an important open communication medium during crises. This has motivated much work on social media data analysis for crises situations using machine learning techniques but has mostly been carried out by traditional techniques. Those methods have shown mixed results and are criticised for being unable to generalize beyond the scope of the designed study. Since every crisis is special, such retrospect models have little value. In contrast, deep learning shows very promising results by learning in noisy environments such as image classification and game playing. It has, therefore great potential to play a significant role in the future social media analysis in noisy crises situations. This position paper proposes an approach to improve the social media analysis in crises situations to achieve better understanding and decision support during a crisis. In this approach, we aim to use Deep Learning to extract features and patterns related to the text and concepts available in crisis related social media posts and use them to provide an overview of the crisis.
Doing Collaborative Digital Advertising Conceptualization: An Ethnomethodological Study

The development of digital advertising capabilities has drawn attention toward the benefits of advertising automation and digital consumer analytics, including the appropriate technical skills to support these capabilities. By focusing on constraint and provocation in otherwise innocuous requests from advertisers, I uncover collaborative creative practices undertaken by the digital advertising workers responding to those requests when conceptualizing creative digital branding campaigns. The findings highlight some of seen but unnoticed interpretive methods these workers use to marshal a variety of technical and non-technical resources to develop successful and creative campaign ideas and plans from these requests. Outcomes can be used to improve the technology used to plan and launch digital advertising campaigns by helping teams better consider the user and advertiser, and enable better communication of campaign differentiation.
Can Children Learn Creativity from a Social Robot?

Children's creativity contributes to their learning outcomes and personal growth. Standardized measures of creative thinking reveal that as children enter elementary school, their creativity drops. In this work, we evaluated whether a social robotic peer can help 6-10-year-old children think creatively by demonstrating creative behavior. We designed verbal and non-verbal behaviors of the social robot that constitute interaction patterns for artificial creativity. 51 participants played the Droodle Creativity Game with the robot to generate creative titles for ambiguous images. One group of participants interacted with the creative robot, and one group interacted with the non-creative robot. Participants that interacted with the creative robot generated significantly higher number of Droodle titles, expressed greater variety in titles, and scored higher on the Droodles' creativity. We observe that children can model a social robotic peer's creativity, and hence inform robot interaction patterns for artificial creativity that can foster creativity in children.
A comparative study of 3? SAPF with Different reference current generation

In this paper three phase shunt active filter (SAF) with a control algorithm of unit vector template method is compared with power synchronous detection for reference current generation. For gate pulse generation modulated hysteresis current controller is used. The capacitor voltage is maintained constant by using PI controller. The current waveform injected by the active filter is able to compensate the reactive power and the load current harmonics and to balance asymmetrical loads. The active filter is designed in PSIM software and control of active filter is done in Simulink environment. PSIM and MATLAB software is linked by Sim coupler. Simulation results with PSIM software show that the designed active filter is very effective in improvement of quality of power.
Towards Eliciting Feedback for Artworks on Public Displays

The internet and digital technologies have had a strong influence on how art is created, distributed and perceived. Museums and art galleries, however, are still predominantly places of passive consumption of art. In our project, we explore new forms of communication and feedback between artists and their audience, mediated by public displays. In this work-in-progress paper, we present a situated feedback system for giving feedback on artworks in a public setting. We present a preliminary evaluation of the system with artists and potential audience on their reactions to the system and eight different types of feedback.
Supporting Creative Workers with Crowdsourced Feedback

Online feedback systems have gained in popularity in recent years. These systems have the potential to provide vast amounts of feedback from the crowd. My dissertation explores how creative workers can be assisted in evaluating this crowdsourced feedback. I qualitatively explored and studied this issue in three different feedback systems. Future work will develop a framework for recommending feedback evaluation strategies for different feedback types in the context of creative work and potentially massive amounts of crowdsourced feedback.
Towards an Informativity Account of Design Research

In this paper we apply a sociomaterial perspective to the relationships of people, work, and technology to provide further insights into design research. We focus attention on the phenomena, not the artifact, produced through processes of 'informativity. ' This approach challenges the Cartesian dualism upon which design is premised and reveals the emergence of multiple enactments of information and technology by people across time and context. Informativity accounts for the variable processes of information discovery, selection, and support and acts as a source of potential creativity, improvisation, and design.
Developing and Evaluating Creativity Gamification Rehabilitation System: The Application of PCA-ANFIS Based Emotions Model.

This study aims to explore the factors in a patient’s rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive network-based fuzzy inference system (ANFIS) to present a predicting, artificial emotion model with a Plutchik emotional wheel in a 3D Gesture gamification rehabilitation system, and illustrate the value of the Plutchik emotional wheel. Also, this study tries to improve a rehabilitant’s self-efficacy, based on interesting games and the use of Kinect technology to capture a rehabilitant’s motion. This quasi-experimental design required two months to collect the PRS rehabilitation treatment data from the study’s participants, who were divided into experimental and control groups. The experimental group, rehabilitated with a PRS, filled out a questionnaire and evaluated whether the system operations and self-efficacy changes affected their rehabilitation achievement. These findings could be referenced for related researchers designing auxiliary tools and for helping physical therapists improve rehabilitants’ performance. Meanwhile, these findings recommend that patients have the operation in the early stages and that they form regular exercise habits for a better rehabilitation outcome.
A Penny Saved: Prices and the Timing of Paycheck Receipt

This paper explores a puzzling empirical regularity: households pay less for foods as the time since receipt of their last paycheck increases. I leverage randomization with regard to paycheck timing to causally identify the eect of time since paycheck receipt on prices. Estimates of the decline in prices range between 5% and 6% percent, over the course of a month. I investigate several potential explanations for this behavior, including credit constraints and stockpiling. I nd evidence that the eect is driven by
The Effect of a “Selected Exercise Training” on Reducing Symptoms of Dementia Caused by Alzheimer's Disease in People with Down Syndrome

Objective: The aim of the study was to determine the effect of a selected exercise training on reducing symptoms of dementia caused by Alzheimer's disease in people with Down syndrome. Methods: 27 men with Down syndrome were randomized to intervention (n=13) and control (n=13) groups. All persons in experimental group followed 12 weeks selected exercise training, three times a week. Prior to the start of the study, and after three-month training, each member in both groups was assessed according to the DSQIID questionnaire filled by caregivers of these peoples. Data were analysed by independent T test. Results: The results indicated that the first questionnaire subscales that assess memory disorders and confusion in the experimental group between pre and post test showed a significant decrease (P = 0.028). Also in third part of questionnaire that asked about the individual skills, social withdrawal, physical symptoms and speech abnormalities, the variable scores in post-test of experimental group were significantly lower than pre-test scores (P=0.047). Conclusion: These result showed that the combination of selected exercises training could cause a significant reduction in the incidence of initial dementia symptoms and can be an important step to prevent of the dementia in these people.
Toward a systemic view for plant learning: an (eco)physiological perspective

Herein, we have proposed a concept of plant learning based on some principles of systemic plant ecophysiology. In order to accomplish this task, a framework consisting in basic epistemological assumptions is offered, as well as a cognitive context that underpins the perspective of learning. Accordingly, a number of empirical studies are quoted to illustrate the basic idea presented herein. The world is richer than it is possible to express in any single language. Ilya Prigogine.
Effects of the Herbicide Atrazine on the Behavior of the Checkered Gartersnake (Thamnophis Marcianus)

vi Chapter 1: Overview of Atrazine and its Effects . 1 Atrazine Characteristics . 1 Movement of Atrazine in the Environment . 3 Effects on Plants and Other Photosynthetic Organisms . 5 Effects on Animals . 7 Invertebrates . 8 Fish . 10 Reptiles and Amphibians . 11 Birds . 12 Mammals . 13 Reasons for Concern . 14 Reptiles and Ecotoxicology . 16 References . 19 Chapter 2: Effects of the Herbicide Atrazine on the Behavior of the Checkered Gartersnake (Thamnophis marcianus) . 28 Abstract . 28 Introduction . 28 Methods . 33 Animal Care and Handling . 33 Behavioral Testing . 34 Foraging Behavior . 34 Foraging Behavior: Chemosensory Tests . 34 Foraging Behavior: Prey Handling Tests . 35 Antipredator Behavior . 36 Thermoregulatory Behavior . 38 Reproductive Behavior . 39 Results . 41 Foraging Behavior . 41 Foraging Behavior: Chemosensory Tests . 41. 28 Introduction . 28 Methods . 33 Animal Care and Handling . 33 Behavioral Testing . 34 Foraging Behavior . 34 Foraging Behavior: Chemosensory Tests . 34 Foraging Behavior: Prey Handling Tests . 35 Antipredator Behavior . 36 Thermoregulatory Behavior . 38 Reproductive Behavior . 39 Results . 41 Foraging Behavior . 41 Foraging Behavior: Chemosensory Tests . 41
Constraint on a varying proton-to-electron mass ratio from molecular hydrogen absorption towards quasar SDSS J123714.60+064759.5

Molecular hydrogen transitions in the sub-damped Lyman alpha absorber at redshift z = 2.69, toward the background quasar SDSS J123714.60+064759.5, were analyzed in order to search for a possible variation of the proton-to-electron mass ratio mu over a cosmological time-scale. The system is composed of three absorbing clouds where 137 H2 and HD absorption features were detected. The observations were taken with the Very Large Telescope/Ultraviolet and Visual Echelle Spectrograph with a signal-to-noise ratio of 32 per 2.5 km/s pixel, covering the wavelengths from 356.6 to 409.5 nm. A comprehensive fitting method was used to fit all the absorption features at once. Systematic effects of distortions to the wavelength calibrations were analyzed in detail from measurements of asteroid and `solar twin' spectra, and were corrected for. The final constraint on the relative variation in mu between the absorber and the current laboratory value is dmu/mu = (-5.4 \pm 6.3 stat \pm 4.0 syst) x 10^(-6), consistent with no variation over a look-back time of 11.4 Gyrs.
Social Implications of Information and Communication Technology in Developing Countries: Lessons from Asian Success Stories

The Indian Institute of Management, Ahmedabad (IIMA) and the World Bank had organised a workshop titled: Information and Communication Technologies (ICT) for Rural Development to bring together case studies of various applications of ICT that have been demonstrated to make a difference in the delivery of services or products in rural areas. The cases presented illustrate both the opportunities and challenges in the diffusion of ICT within India and for other developing countries. ICT applications can be classified as those that provided decision support to public administrators for improving planning and monitoring of developmental programs, those that improved services to citizens and brought in transparency, and those that empowered citizens through access to information and knowledge. This paper presents successful examples of each type of application of and discusses one application in detail to draws lessons for what needs to be done to promote ICT for rural development.
Review of potential sources and control of thermoduric bacteria in bulk-tank milk

Bacteria that contaminate milk include thermoduric bacteria that can survive pasteurisation and subsequently grow in the pasteurised milk or contaminate product. Elimination of thermodurics at milking is not feasible. Therefore, knowledge of their source and strategies for their reduction are important. The major sources of thermodurics in milk are contamination of the teat skin from soil and bedding, and subsequent contamination from deposits that can build up on milking equipment surfaces. Hygiene at milking can reduce the number of bacteria contaminating milk. Teat preparation at milking and a recommended plant cleaning procedure are critical to the prevention of the contamination of milk with thermoduric bacteria.
Validation of Large Eddy Simulation in a Relaminarizing Boundary Layer Flow

Coexistence of laminar, transitional and turbulent flow regimes is very common in blood flows through arteries, airflows in human respiratory systems, and indoor airflow etc. Due to the complexity of flow physics involved, most Reynolds-averaged Navier-Stokes (RANS) turbulence models are not suitable for these flows because they are designed primarily for high Reynolds number turbulent flows. In this paper, large eddy simulation with dynamic subgrid model has been applied to simulate the flow in a relaminarizing boundary layer that undergoes reverse transition from turbulent state to laminar one. Simulated mean velocities and turbulent intensities are in good agreement with corresponding experimental data at different streamwise positions where different flow regimes exist. The appropriateness of dynamic subgrid model for the study of relaminarizing boundary layer flow is demonstrated by the spatial variation of subgrid constant: it is somewhat constant in fully turbulent regime, decreases in transitional regime and reaches zero in laminar regime. Comparison of the experimental data and computational results from three low Reynolds number RANS models shows that they do not adequately predict the flow relaminarization. The present study suggests the use of large eddy simulation with dynamic model in the study of complex flows where a combination of flow regimes (laminar, transitional, and turbulent) may exist.
A CPW-Fed Dual Band-Notched UWB Antenna with a Pair of Bended Dual-L-Shape Parasitic Branches

In this paper, a novel coplanar waveguide (CPW) fed dual band-notched ultra-wideband (UWB) antenna with circular slotted ground is proposed. In order to achieve two notched bands at 3.3{3.7GHz for worldwide interoperability for microwave access (WiMAX) and 5.15{5.825GHz for wireless local area network (WLAN) respectively, a pair of bended dual- L-shape branches are attached to the slotted ground. By optimizing the lengths and positions of the branches, the desired notch-bands of WLAN and WiMAX can be achieved. The prototype of the proposed antenna was fabricated and tested. The simulated and measured results show good agreement over the ultra-wideband. Besides these mechanical features, such as compact in size, easy in fabrication, the proposed antenna also shows good characteristics in its radiation patterns and time-domain behaviors. So it is a nice candidate for modern UWB communication systems.