Miracle-dz/UniFAR-FTUs huggingface dataset:
Parametric Controller Design and Optimization for A Brushless DC Motor System

In this paper, a research on the design of parametric controller has been presented for a brushless DC motor system, and the parameters of controller are optimized. Compared with PID, the overshoot of state curve is smaller, and the settling time is shorter. The symbolic computation and the cylindrical algebraic decomposition (CAD) are used in controller design and controller parameters calculation. Symbolic computation is applied to obtain the stable constraints for the controlled system. And the region of controller parameters can be solved by CAD, according to the constraints. The parameters of controller selected in the region will stabilize the brushless DC motor system. And then, the system dynamic performance can be optimized by a variable parameter control of designed controller. The simulation results indicate that the proposed method is highly effective in controlling the brushless DC motor system. Key-Words: Symbolic computation, parametric controller, Hopf bifurcation, cylindrical algebraic decomposition (CAD), brushless DC motor, optimization.
An overview of learning analytics

Learning analytics, the analysis and representation of data about learners in order to improve learning, is a new lens through which teachers can understand education. It is rooted in the dramatic increase in the quantity of data about learners and linked to management approaches that focus on quantitative metrics, which are sometimes antithetical to an educational sense of teaching. However, learning analytics offers new routes for teachers to understand their students and, hence, to make effective use of their limited resources. This paper explores these issues and describes a series of examples of learning analytics to illustrate the potential. It argues that teachers can and should engage with learning analytics as a way of influencing the metrics agenda towards richer conceptions of learning and to improve their teaching.
A projection algorithm based on KKT conditions for convex quadratic semidefinite programming with nonnegative constraints

The dual form of convex quadratic semidefinite programming (CQSDP) problem, with nonnegative constraints, is a 4-block separable convex optimization problem. It is known that, the directly extended 4-block alternating direction method of multipliers (ADMM4d) is very efficient to solve the dual, but its convergence is not guaranteed. In this paper, we reformulate the dual as a 3-block convex programming by introducing an extra variable, so as to design a parallel modified 3-block ADMM with larger step size that can exceed the conventional upper bound of (1 + √ 5)/2. We show that the proposed 3-block ADMM is equivalent to a projection algorithm with two operators projecting onto the positive semidefinite and nonnegative matrix cones respectively. The global convergence and non-ergodic convergence rate o(1/(k + 1)) are established by using a fixed-point argument and the non-expansion property of the projection operators. Numerical experiments on the various classes of CQSDP problems illustrate that our proposed algorithm performs better than ADMM4d with the aggressive step size of 1.618.
The Content of Corporate Social Responsibility Information : The Case of Greek Telecommunication Sector

The aim of this study is to illustrate what and how stand-alone Corporate Social Responsibility (CSR) reports and web information provide to readers. These characteristics are recorded in predetermined schemes. The study focuses on the telecommunication sector, especially on fixed and mobile telephony and internet access providers in the Greek market. In all, five companies that provide CSR reports are identified. Their characteristics are categorized by four main predetermined dimensions, namely: type of communication, context, indicators and distinctions. The content analysis technique is selected as it is widely accepted and used in the field of CSR report research. The analysis indicates that three annual reports are almost similar in all dimensions and sub-dimensions. All of the companies publish their management systems certifications and awards and both Greek and English information versions exist; however, there are contradictory results in the dimension of indicators, the sub-dimensions of report guidelines and stand-alone reports. The value of the paper is to promote the standardization of CSR report.
Graphene Quantum Dots - From Emergence to Nanotheranostic Applications

Quantum dots are at the cutting edge of nanotechnology development. Due to their unique optical and physical properties, they have potential applications in many avenues of medicine and biotechnology. With the advancements in nano-sciences, novel applica‐ tions of quantum dots are constantly being explored for drug delivery and bioimaging. Graphene quantum dots (GQDs) are nanoparticles of graphene with properties of quan‐ tum dots as well as graphene. GQDs have ignited remarkable research interest in the field of medicine and biology and are considered as well-suited candidates for nanothera‐ nostic applications due to their excellent biocompatibility and tunable physicochemical properties. The promising emerging implications of GQD platforms for diagnostics and therapeutics advances are the basis of this chapter.
Impact of Methanol–Gasoline Fuel Blends on the Performance and Exhaust Emissions of a SI Engine

In this study, the effect of Methanol (M5, M7.5, M10, M12.5, M15) on the performance and combustion characteristics of a spark ignition engine (SI) were investigated. In the experiment, an engine with four-cylinder, four stroke, multipoint injection system (Ford, Zetec-E) was used. Performance tests were conducted for brake torque, brake power, brake thermal efficiency, volumetric efficiency, equivalence air-fuel ratio, and brake specific fuel consumption and exhaust emissions (CO, CO 2 , HC, NO x ) were analyzed under wide open throttle operating conditions and variable engine speed ranging from 1500 to 5000 rpm. The experimental results showed that the performance of engine was improved with the use of methanol. It was also shown that CO and HC emissions were reduced with the increase of methanol content while CO 2 and NOx were increased.
Moving object detection and tracking in video surveillance system

Detecting and tracking objects in crowded areas is a challenging issue in the field of Video surveillance system. Nowadays the increase of digital video cameras, and the availability of video storage and high performance video processing hardware, opens up conceivable outcomes for tackling many video understanding problems. Developing a real-time video understanding technique which can process the large amounts of data becomes very important. The object detection first step used in surveillance applications aims to separation of foreground objects from the background. Many algorithms proposed to solve the problem of object detection, however, it still lack of tracking multiple objects in real time. Object tracking used to find a moving object detected in motion detection stage from one frame to another in an image sequence. This paper focuses on review of various techniques used in object detection and object tracking.
GOCI Yonsei aerosol retrieval version 2 aerosol products: improved algorithm description and error analysis with uncertainty estimation from 5-year validation over East Asia

The Geostationary Ocean Color Imager (GOCI) Yonsei aerosol retrieval (YAER) version 1 algorithm was developed for retrieving hourly aerosol optical depth at 550 nm (AOD) and other subsidiary aerosol optical properties over East Asia. The GOCI YAER AOD showed comparable accuracy compared to ground-based and other satellite-based observations, but still had errors due to uncertainties in surface reflectance and simple cloud masking. Also, it was not capable of near-real-time (NRT) processing because it required a monthly database of each year encompassing the day of retrieval for the determination of surface reflectance. This study describes the improvement of GOCI YAER algorithm to the version 2 (V2) for NRT processing with improved accuracy from the modification of cloud masking, surface reflectance determination using multi-year Rayleigh corrected reflectance and wind speed database, and inversion channels per surface conditions. Therefore, the improved GOCI AOD (τ G ) is similar with those of Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) AOD compared to V1 of the YAER algorithm. The τ G shows reduced median bias and increased ratio within 0.15τ A +0.05 range (i.e. absolute expected error range of MODIS AOD) compared to V1 in the validation results using Aerosol Robotic Network (AERONET) AOD (τ A ) from 2011 to 2016. The validation using the Sun-Sky Radiometer Observation Network (SONET) over China also shows similar results. The bias of error (τ G -τ A ) is within −0.1 and 0.1 range as a function of AERONET AOD and AE, scattering angle, NDVI, cloud fraction and homogeneity of retrieved AOD, observation time, month, and year. Also, the diagnostic and prognostic expected error (DEE and PEE, respectively) of τ G are estimated. The estimated multiple PEE of GOCI V2 AOD is well matched with actual error over East Asia, and the GOCI V2 AOD over Korea shows higher ratio within PEE compared to over China and Japan.
Three Approaches to Human Cognitive Development: Neo-nativism, Neuroconstructivism, and Dynamic Enskillment

In Section 1, I introduce three views that explain human cognitive development from different standpoints: Marcus’s neo-nativism, standard neuroconstructivism, and neo-neuroconstructivism. In Section 2, I assess Marcus’s attempt to reconcile nativism with developmental flexibility. In Section 3, I argue that in structurally reconfiguring nativism, Marcus ends up transforming it into an unrecognizable form, and I claim that his view (neo-nativism) could be accommodated within the more general framework provided by standard neuroconstructivism. In Section 4, I focus on recent empirical findings in neuropsychology and cultural/social neuroscience, and propose a friendly revision to standard neuroconstructivism, thus developing the neo-neuroconstructivist view. I conclude the article in Section 5 by analysing the implications of the results discussed in Section 4 for both neo-nativism and standard neuroconstructivism. 1 Introduction 2 Marcus’s Neo-nativism 3 Is Marcus’s Neo-nativism Really a Form of Nativism? 4 Neo-neuroconstructivism and Dynamic Enskillment 5 Conclusion 1 Introduction 2 Marcus’s Neo-nativism 3 Is Marcus’s Neo-nativism Really a Form of Nativism? 4 Neo-neuroconstructivism and Dynamic Enskillment 5 Conclusion
The bright end of the z ~ 7 UV luminosity function from a wide and deep HAWK-I survey

Aims. We perform a deep search for galaxies in the redshift range 6: 5�z�7: 5, to measure the evolution of the number density of luminous galaxies in this redshift range and derive useful constraints on the evolution of their luminosity function. Methods. We present here the second half of an ESO Large Programme, which exploits the unique combination of area and sensitivity provided in the near‐IR by the camera Hawk-I at the VLT. We have obtained�30 observing hours with Hawk-I in the Y-band of two high galactic latitude fields. We combined the Y-band data with deep J and K Hawk-I observations, and with FORS1/FORS2 U, B, V, R, I, and Z observations to select z-drop galaxies having Z− Y> 1, no optical detection and flat Y− J and Y− K colour terms. Results. We detect 8 high-quality candidates in the magnitude range Y = 25: 5− 26: 5 that we add to the z-drop candidates selected in two Hawk-I pointings over the GOODS-South field. We use thi s full sample of 15 objects found in�161 arcmin 2 of our survey to constrain the average physical properties and the evolut ion of the number density of z �7 LBGs. A stacking analysis yields a
Genetic Diversity of Fusarium solani f. sp. cucurbitae, the Causal Root and Crown Rot of Cucurbits (Melon) by Using Molecular Markers and Control

Detection of F. solani f. sp. cucurbitae causal agent of the crown and root rot disease of melon race 1, race 2 is difficult. It is based only on morphological characteristic. In this study, forty isolates identified as Fusarium solani based on morphological characterization, F. solani was one of the most frequently isolated species. Molecular identification of these isolates by PCR technique using species-specific primer, indicated that thirty-two isolates, amplified product 580 bp (race 1) and two isolate amplified product 580 bp (race 2), while six isolates were not amplified with primer of both races. Production of Trichothecenes (T2-toxen, DON.) by Fusarium solani was conducted on isolates confirmed as belonging in the F. solani by PCR. The results indicated that the presence of Tri5, Tri13 genes is coding the ability of synthesis mycotoxin. In vitro, the results indicated that NPs (AgNPs, MgNPs) and chemical (Phylex) possess the antifungal properties against at various level. Treatment with (AgNPs 150 ppm, MgNPs 2%, 3% ppm) and 3% Phylex resulted in maximum inhabitation of F. solani . In vivo, five characters (height plant, hoot ant root fresh and dry weight) were measured based on the greenhouse, field experimental results. Treatment with (AgNPs, MgNPs) and Phylex had higher measured parameters than positive control.
TRIP RATES FOR CONDOMINIUM CONSTRUCTION PROJECT

The number of large scale condominium construction projects had dramatically increased in Bangkok. Many projects had occurred in either densely populated areas or in central business districts, where traffic conditions were usually highly congested. To prevent traffic problems, a traffic impact study must be prepared and submitted for review by concerned public authorities. Unit trip generation rates were important data in traffic impact analysis. Without accurate unit trip generation rates, public agencies could not obtain accurate information on the traffic that will be generated. This study aimed to study trip rates and the factors affecting them for condominium construction project in Bangkok. The data were collected from 30 condominium construction sites located in 15 districts of Bangkok. The analysis used the linear regression method and was divided into three cases: 1) trip rates for all vehicles, 2) trip rates for classified vehicles, and 3) trip rates for all types of condominium. All case analyses considered weekdays, Saturday, and Sunday. The results found that trip rates related to the number of dwellings in the condominium. The trip rates for all vehicle types on weekdays, Saturday, and Sunday were 10.636, 4.647, and 9.294 vehicles per 100 dwelling units per day respectively. The trip rates for six-wheeled and ten-wheeled trucks on weekdays, Saturday, and Sunday were 2.046, 0.975, and 0.575 vehicles per 100 dwelling units per day respectively. The trip rate for four-wheeled trucks and passenger cars on weekdays was 1.960. Regarding condominium types, the trip rate for low rise condominiums for all vehicle types on weekdays was 5.315 while the trip rates for high rise condominiums for weekdays, Saturday, and Sunday were 3.965, 2.667, and 1.261 respectively.
Effect of ZnO nanoparticle on cell viability, zinc uptake efficiency, and zinc transporters gene expression: a comparison with ZnO and ZnSO 4

Zhang X. , Wang Z. , Mao L. , Dong X. , Peng Q. , Chen J., Tan C. , Hu R. (2017): Effect of ZnO nanoparticle on cell viability, zinc uptake efficiency, and zinc transporters gene expression: a comparison with ZnO and ZnSO4. Czech J. Anim. Sci., 62, 32–41. Zinc plays an important role in functional and structural integrity of cells. The aim of the current study was to compare cell viability, zinc uptake efficiency, and gene expression of metallothionein (MT), divalent metal transporter (DMT-1), and other important zinc transporters (ZnTs) under experimental treatment of TPEN (N, N, N', N'-Tetrakis (2-pyridylmethyl) ethylenediamine) (2 μM), and three zinc sources (zinc oxide nanoparticle (nano-ZnO), bulk zinc oxide (ZnO), and zinc sulfate (ZnSO4)) at different levels (25, 50, and 100 μM) in rat intestinal epithelial cell line IEC-6. Cells were classified into TPEN group and TPEN + zinc sources groups. In the present study, significantly decreased cell viability was observed in TPEN group, while supplementations with nano-ZnO at all levels and ZnO (50 and 100 μM) significantly increased the cell viability. ZnSO4 at a high concentration (100 μM) inhibited cell viability. Furthermore, cells of nano-ZnO group showed the highest viability at a 25 μM concentration. The uptake efficiency of nano-ZnO is higher than that of ZnSO4 and ZnO. Additionally, a significant down-regulation for ZnT-1, ZnT-4, MT, DMT-1 mRNA with TPEN treatment was detected. Compared with the unchanged ZnT-4, all zinc treatments up-regulated the gene expressions of ZnT-1, ZnT-5, ZnT-7, MT, and DMT-1. Our results indicate that nano-ZnO is more effective than ZnO and ZnSO4 in enhancing cell viability, and its lower cytotoxicity, higher uptake efficiency, and comparative transportation at low concentration also favour its potential use as a new zinc source in feed additives.
Critical Evaluation of Bacteriophage to Prevent and Treat Colibacillosis in Poultry

There is a continuing need to find alternatives to antibiotics in animal and human medicine. Bacteriophages are viruses that infect and kill bacteria, with no known activity to plant and animal cells. We have conducted research to critically evaluate the efficacy of bacteriophage to both prevent and treat colibacillosis in poultry. Bacteriophages lytic to an Escherichia coli pathogenic to poultry were isolated from municipal waste water treatment plants and poultry processing plants. Two bacteriophage isolates were selected to use in studies designed to determine the efficacy of these bacteriophage to prevent and treat severe colibacillosis in poultry. Colibacillosis was induced by injecting 6 X 10 4 cfu of E. coli into the thoracic airsac when the birds were 1 week of age. Initial studies demonstrated that mortality was significantly reduced when the challenge culture was mixed with bacteriophage prior to challenging the birds. In subsequent studies, we have shown that an aerosol spray of bacteriophage given to the birds prior to this E. coli challenge can prevent the disease, and that an intramuscular injection of bacteriophage provides an effective treatment of this disease. We have demonstrated that bacteriophage can be used to both prevent and treat colibacillosis in poultry and may provide an effective alternative to antibiotic use in animal and human medicine.
On the vertical phytoplankton response to an ice‐free Arctic Ocean

Rapidly retreating sea ice is expected to influence future phytoplankton production in the Arctic Ocean by perturbing nutrient and light fields, but poor understanding of present phytoplankton distributions and governing mechanisms make projected changes highly uncertain. Here we use a simulation that reproduces observed seasonal phytoplankton chlorophyll distributions and annual nitrate to hypothesize that surface nitrate limitation in the Arctic Ocean deepens vertical production distributions where light-dependent growth rates are lower. We extend this to interpret depth-integrated production changes projected by the simulation for an ice-free Arctic Ocean. Future spatial changes correspond to patterns of reduced surface nitrate and increased light. Surface nitrate inventory reductions in the Beaufort Gyre and Atlantic inflow waters drive colocated production distributions deeper to where light is lower, offsetting increases in light over the water column due to reduced ice cover and thickness. Modest production increases arise, 10% in a seasonally ice-free Arctic Ocean and increasing to 30% by the end of the century, occurring at depth.
Interannual variability of the tropical Atlantic independent of and associated with ENSO: Part I. The North Tropical Atlantic

The interannual variability of the tropical Atlantic ocean–atmosphere system is examined using 50 years of sea‐surface temperature (SST) and re‐analysis data, and satellite data when available. A singular value decomposition analysis of 12‐ to 72‐month bandpass filtered SST and zonal wind stress reveals two dominant modes of interannual variability. The SST anomalies are confined to the North Tropical Atlantic (NTA) in the first mode and extend over the equatorial and South Tropical Atlantic in the second mode. No evidence is found for an Atlantic SST dipole. The structure of the first (NTA) mode is examined in detail here, while the second mode has been described in a companion paper. In particular, the relationship of the NTA mode with El Niño–Southern Oscillation (ENSO) is investigated. There are 12 NTA events (seven warm and five cold) that are associated with ENSO, and 18 NTA events (seven warm and 11 cold) that are independent of ENSO.
Few-Shot Siamese Neural Networks Employing Audio Features for Human-Fall Detection

Nowadays, the detection of human fall is a problem recognized by the entire scientific community. Methods that have good performance use human falls samples in the train set, while methods that do not use it, can only work well under certain conditions. Since examples of human falls are very difficult to retrieve, there is a strong need to develop systems that can work well event with few or no data to be used for their training phase. In this article, we show a first study on few-shot learning Siamese Neural Network applied to human falls detection by using audio signals. This method has been compared with algorithms based on SVM and OCSVM, all evaluated starting from the same conditions. The proposed approach is able to learn the differences between signals belonging to different classes of events. In classification phase, using only one human fall signal as a template, it achieves about 80% of F1 -Measure related to the human fall class, while the SVM based method gets around 69%, when it is trained in the same data knowledge conditions.
Application of Fourier Transform Infrared(FTIR) Spectroscopy in Foods

Fourier transforms infrared (FT-IR) spectroscopy is one of the most imperative and promising instrument used to analyze food for different quality parameters. FT-IR technique is speedy and responsive with a great variety of sampling techniques. In the present study different food were analyzed through. FTIR works on the basis of functional groups and provide information in the form of peaks.