Miracle-dz/UniFAR-FTUs huggingface dataset:
MATHEMATICAL ENGINEERING TECHNICAL REPORTS Control of Smart Grids Based on Price Mechanism and Network Structure

In this paper, we formulate a mathematical model of autonomous distributed control for smart grids based on price mechanism and network structure. Then, we propose a controller design of price mechanism for attaining optimal supply and demand balancing of the whole of smart grids. This control system is a generalized version of the well-known Uzawa’s primal-dual algorithm. Furthermore, we extend the results for a case that subsystems contain their inherent dynamics and it is positive real. Finally, we show effective improvement of control performance of price mechanism by using our proposing controller design method through numerical simulations.
Pressure-driven metal-insulator transition inBiFeO3from dynamical mean-field theory

A metal-insulator transition (MIT) in BiFeO$_3$ under pressure was investigated by a method combining Generalized Gradient Corrected Local Density Approximation with Dynamical Mean-Field Theory (GGA+DMFT). Our paramagnetic calculations are found to be in agreement with experimental phase diagram: Magnetic and spectral properties of BiFeO3 at ambient and high pressures were calculated for three experimental crystal structures $R3c$, $Pbnm$ and $Pm\bar{3}m$. At ambient pressure in the $R3c$ phase, an insulating gap of 1.2 eV was obtained in good agreement with its experimental value. Both $R3c$ and $Pbnm$ phases have a metal-insulator transition that occurs simultaneously with a high-spin (HS) to low-spin (LS) transition. The critical pressure for the $Pbnm$ phase is 25-33 GPa that agrees well with the experimental observations. The high pressure and temperature $Pm\bar{3}m$ phase exhibits a metallic behavior observed experimentally as well as in our calculations in the whole range of considered pressures and undergoes to the LS state at 33 GPa where a $Pbnm$ to $Pm\bar{3}m$ transition is experimentally observed. The antiferromagnetic GGA+DMFT calculations carried out for the $Pbnm$ structure result in simultaneous MIT and HS-LS transitions at a critical pressure of 43 GPa in agreement with the experimental data.
A Socio-Cultural Linguistic Classification of Names in Ẹdo AIGBEDO

Language in India www.languageinindia. com ISSN 1930-2940 18:7 July 2018 AIGBEDO, Ighasere William, B.A., M.A. A Socio-Cultural Linguistic Classification of Names in Ẹdo 277 ================================================================== Language in India www.languageinindia. com ISSN 1930-2940 Vol. 18:7 July 2018 India’s Higher Education Authority UGC Approved List of Journals Serial Number 49042 ================================================================ A Socio-Cultural Linguistic Classification of Names in Ẹdo
How useful is the logarithmic type/token ratio?

What has been described as ‘one of the most remarkable (facts) in quantitative linguistics’ is the constancy of the logarithmic type/token ratio. If V denotes vocabulary and N text length, then log V/log N ‘remains sensibly constant for samples of different size from a given literary text’. 1
Crystal structure of 8-bromo-6-oxo-2-phenyl-6H-pyrrolo[3,2,1-ij]quinoline-5-carbaldehyde, C18H11BrNO2

Abstract C18H11BrNO2, orthorhombic, Pbcn (no. 60), a = 20.745(2) Å, b = 6.7956(8) Å, c = 20.470(3) Å, V = 2885.8(6) Å3, Z = 8, Rgt(F) = 0.034, wRref(F2) = 0.0846, T = 173(2) K.
CORRELATION OPTICS PARADIGM IN MEASURING COHERENCE AND POLARIZATION OF LIGHT

In this survey we represent novel feasibilities provided by correlation optics as one of the versions of “optics of observable quantities” (E. Wolf) in measuring coherence and polarization of optical fields. It is shown by two examples that the introduced approaches are relevant to solving diverse problems connected with the presence of optical singularities (both scalar and vector) in heterogeneous in polarization and incompletely spatially coherent light beams. Namely, we present specific vector singularities arising in partially coherent combined beams and demonstrate interconnections between coherence and polarization in controlling new optical phenomenon referred to as optical currents.
Potential impact of climate change on salinity of the Delaware Estuary A report to the Partnership for the Delaware Estuary

A report by Haskin (1972) related salinity at five locations in the Delaware Estuary to flow of the Delaware River at Trenton. The five locations are, in order of increasing salinity: Arnolds Bed, Cohansey Bed, Shell Rock Bed, Bennies Bed, and Miah Maull Ground. Salinity was regressed vs. the prior 30-day average streamflow for two time periods, 1927-1952 and 1953-1968. A clear decrease in salinity with streamflow was found for all sites and both time periods, and a significant increase in salinity was found from the earlier period to the later period at the two most seaward sites, particularly at high flows. We attempted to reproduce the results of Haskin (1972) and to extend his analysis by including more recent salinity measurements.
C V ] 2 A ug 2 01 6 Global Vertices and the Noising Paradox

A theoretical and experimental analysis related to the identification of vertices of unknown shapes is presented. Shapes are seen as real functions of their closed boundary. Unlike traditional approaches, which see curvature as the rate of change of the tangent to the curve, an alternative global perspective of curvature is examined providing insight into the process of noise-enabled vertex localization. The analysis leads to a paradox, that certain vertices can be localized better in the presence of noise. The concept of noising is thus considered and a relevant global method for localizing Global Vertices is investigated. Theoretical analysis reveals that induced noise can help localizing certain vertices if combined with global descriptors. Experiments with noise and a comparison to localized methods validate the theoretical results.
Analysis of the Value of Distributed Energy Resources through the Regional Electricity Market

The development of the smart grid has enabled end-users of electricity to use efficiently distributed energy resources (DERs). End-users can sell as well as purchase electricity, and they are called Prosumers. A Prosumer can manage its daily consumption pattern by controlling the heat, ventilation and air conditioning (HVAC) load, deferrable load, and energy storage system (ESS) therefore minimizing its electricity cost and discomfort. Prosumers can share the electricity surplus with the main grid and or with their neighboring Prosumers to maximize their profit. The main objective of this paper is to analyze the value of renewable energy and controllable loads such as HVAC, deferrable load, and ESS in the Prosumers network through the electricity price in the regional market. Diverse case studies show that the value of the regional market heavily depends on the surplus and deficit of electricity from renewable energy of Prosumers, and the main grid electricity price.
Noise-induced synchronization of Pierce oscillators Kazuyoshi Ishimura , Ryota Inden

Noise-induced synchronization is a phenomenon that autonomous oscillators are synchronized by common external noise. In this study, we paid attention to crystal oscillators which are utilized in a variety of electrical circuits. When the independently oscillating crystals in each circuits are synchronized, it is conceivable that simultaneous information processing become possible. Furthermore, utilization of noise, which is originally undesirable, is useful from the perspective of engineering. To observe the synchronization, we designed the circuit which consists of two pierce circuits with a branching path for the common gaussian noise source. Finally, we show that the gaussian noise has possibility to efficiently synchronize two oscillators without mutual interactions.
Speed Control of DC Motor using Iterative Learning Controller

The Permanent Magnet DC Motors are widely used for high performance speed control applications. Conventional Proportional-Derivative (PD) controller provides satisfactory performance for set-point tracking. However with the presence of uncertainties in the drive system, linear PD controller is not sufficient to provide satisfactory time-varying tracking control. In order to improve the tracking performance for periodic time-varying trajectory, suggested a Iterative Learning Controller. In this work, an Iterative Learning Controller (ILC) with parallel structure is applied in to a DC motor system. The second order DC motor model has been identified and approximated in to a First Order model using step testing technique. The key filter’s in ILC such as learning filter L(s) and robustness filter Q(s) are designed by Zero Phase Error Tracking Control (ZPETC) technique and frequency method respectively. Simulation runs of the DC motor system is carried out for the periodic reference (sine wave) tracking with ILC based PD mode control loop. The results expose the efficiency of this ILC with parallel structure. An evidence of robustness of the ILC with parallel structure is also tested. Tracking error with respect to number of trails and time clearly indicate that the ILC is capable of learning the required trajectory in very little iteration with minimum tracking errors.
Impact of body mass index on outcome in stroke patients treated with intravenous thrombolysis

Stroke Centre and Neurology, University Hospital Basel, Basel; Department of Neurology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Stroke Unit, Department of Neuroscience, Nuovo Ospedale Civile S. AgostinoEstense, AUSL Modena, Modena; Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy; Department of Neurology, Kantonsspital St Gallen, St Gallen, Switzerland; Department of Neurology, University Hospital Antwerp, Edegem, Belgium; Department of Neurology, University Hospital Berne, Berne, Switzerland; and Neurorehabilitation Unit, University Centre for Medicine of Aging and Rehabilitation, Felix Platter Hospital, Basel, Switzerland
Understanding housing design and expectations of Assamese rural communities: Case Study Selection

An examination of a house design proposed by the Department of Rural Development of India’s Affordable and Appropriate rural housing scheme showed a major cultural gap of understanding between urban perspective and rural expectation. Significance of community value and cultural ecology have been compromised in planning and implementation of grand housing schemes. This research argues that mere design of rural housing runs the risks of not being culturally inclusive. This paper elaborates the description of the cultural ecology as defined by the literature review within the context of the research to be conducted in Assam. The culture of the place or region is the product of a cultural ecology that is the intersection of environment, community and interactions. In a rural household as the cultural ecology; the house and its boundary signify the environment where the members of the household are the community and activities of each member are the interactions. To reflect the culture and value as an integrated design element, the emancipatory research paradigm is highly significant. The approach is demonstrated by developing a questionnaire/survey which encompasses the family structure, life style and income for collecting relevant data necessary for designing culturally inclusive housing for rural community.
The Role of Extension Service in Risk Management in Poultry Production in Katsina Metropolis , Katsina State Nabinta

The study analyzed the role of extension in risk management among poultry farmers in Katsina metropolis. Multi stage sampling technique was used to select 100 poultry farmers for the study. The analytical techniques used included descriptive statistics and ordinary least square regression model. Result revealed that 64% were male and the youthful ages (20-49) constitute 61%. Also, 52% of the farmers had tertiary education, 16% and 53% had access to credit and social participation respectively. More so, 57% had extension contact, 76% had experience in poultry production and 79% earned #100, 000: 00 yearly. The major hazards faced by farmers were heat stress, disease outbreak, ill health, and drought and market glut. Factors which positively and significantly (p<0.05, 0.01) determine risk management included age, educational level, income, experience in poultry production, social participation and training. On the other hand, the extension contact is not significant (0.368). Therefore, extension services need to be intensified and risk behavior of farmers, factors influencing such should be considered in planning, design and development of future interventions.
A CASE tool to design distributed object oriented databases

As part of our work concerning multimedia distributed applications, we have been led to develop a method and a CASE (computer aided software engineering) tool to design distributed object-oriented databases (OODBs). Firstly, we defined a top-down design method that allows us to build local conceptual schemata from a global conceptual schema. The originality of our work consists in dissociating the static aspects and the dynamic aspects that are intrinsically linked in the objects. At the logical level, the fragmentation step we propose deals only with the static schema classes and permits us to define mixed-class fragments. In order to facilitate the designer's task, we propose a CASE tool dedicated to distributed OODB design. This tool presents the advantage of being guided by the design process. It integrates various kinds of rules and constraints that are related to distributed OODB design. These rules and constraints ensure the syntactic and semantic integrity of the designer's work.
Cultural consumers – exploring audience loyalty in amateur theatre

Amateur theatre is big business in Britain with a 7.3 million audience and £34 million box office takings (NODA 2002; Elkin 2006). The arts is perceived at an economic level as an industry (Schiller 1989) with an established literature on marketing issues (Butler 2000) yet few studies focus on the amateur performing arts sector. Although audiences have been researched in professional arts organisations, little is known about the nature of amateur theatre audiences, and the motivations of cultural consumers to support amateur arts. Using a case study approach on four amateur theatres in Greater Manchester, involving an audience survey and in-depth interviews, the research identifies the social role of amateur theatres within local communities and the key influence of membership as a motivating factor for audience attendance. It is suggested that theatre membership is rooted in social identity which leads to commitment, and is then enacted as behaviour in the form of regular attendance. Four types of audience attendees are also identified, displaying mainly monogamous loyalty to these cultural organisations with evidence of polygamous loyalty via membership portfolios. The study contributes to a deeper understanding of this social phenomenon, identifying loyalty in amateur arts and membership as fundamental in binding audience and theatre together.
Security on Cloud Computing

:- Now days, cloud computing is getting popular for data storage and using a network of remote servers. Cloud computing has many benefits like scalability, flexibility, cost savings, reliability, maintenance and mobile accessibility. Since cloud computing technology is growing day by day, it concerns with some particular security issues as well. The issues like unauthorized access, service traffic hijacking, data loss etc. To work with data storage security in cloud, there are many encryption algorithms. In this paper, there are two methods described for data storage security. First method called range and knn query, where range query algorithm is used to encrypt the data and knn query algorithm is used to decrypt the encrypted data. The second used method is MuteDB where SQL operations can perform on encrypted data and access control policies to cloud provider. At last we compare these two methods on the basis of different parameters.
Impact of Board Size on Financial Performance : The Case of BIST Manufacturing Industry *

The board constitutes one of the fundamental corporate governance mechanisms in firms. The structure and size of the board and its impact on the performance of the firm is one of the most discussed issues of corporate governance. The present study aims to test the impact of the board size on the financial performance of the firms. The study’s sample utilizes data from 2002-2012 belonging to 136 firms operating in manufacturing industry section of Borsa Istanbul (BIST). In empirical analyses, Robust estimator developed by Beck-Katz (1995) was used. The results of the conducted analyses suggest a positive relation between the board size, and Return on Asset and Z Altman score. Another result of the study, on the other hand, suggests that board size doesn’t have an impact of Tobin’s q and return on equity.
Doe based robust optimization considering tolerance bands of design parameters

Due to developments of computer technologies, optimization methods have been issued in areas of computer aided engineering design. These methods provide insight into the actual design process, cost reduction and quality improvement. But, it has been pointed out that general optimization theories based deterministic manners include some problems. For example, deterministic optimization methods do not consider tolerance bands of design parameters (i.e. design variables and material properties). Considering tolerance bands of design parameters, optimization results by deterministic methods might be meaningless. For this reason, a robust design has been researched. The robust design is defined that a product or process is insensitive to the effects of sources of variability, even though the sources themselves have not been eliminated [1]. Generally, there are two solutions to avoid meaningless designs. The one is to minimize the tolerance bands of parameters. But this solution demands a high accuracy and increases production cost. The other one is to calculate the robust optimum with the post-processing deterministic optimization solution. This study presents the robust optimization method considering tolerances of design variables and material properties. To estimate the robustness, this study used analysis of means (ANOM) based orthogonal arrays which is a kind of design of experiments (DOE). And the paper examined the proposed method through mathematical problems and cantilever beam problem. Finally, the paper applied the presented method to a real complex structure. ROBUST OPTIMIZATION In the present study, robust optimization means that it is considered tolerance of design variables and parameters. Therefore, the paper used optimization statements as Eq.(1). min i = 1, 2, n ) , ( p x f i subject to j = 1, 2, m (1) 0 ) , ( ≤ p x g i j u i i l i x x x ≤ ≤ The notation and are the lower and upper bound of design variables respectively. The notation is the parameters involved in material properties and loading conditions, etc. The Figure.1 shows contour plots of deterministic optimum and tolerance region for example. The tolerance bands of deterministic optimum A is the rectangular region a in Figure.1. From Figure.1, it can be found that a deterministic optimum ‘A’ might be existed the infeasible region. In the robust design, both optimal solution and tolerance region must be satisfied with all constraints, as shown Figure.2. Procedures of robust optimization are as follows. First, the deterministic optimum B is solved from the Eq.(1). If the tolerance region b violates at least one constraint, then a new robustness is calculated by using Eq.(2). The deterministic optimum is represented for . l i x
Data Integration Application with Coarsened Exact Matching

This paper focused on the problem of integrating data from two distinct sources or groups for statistical analysis. The two groups could be from representative sample and business registers, or in relation to the non-response bias problem. We investigated the properties of some traditional techniques like propensity scores and simple regression and a more advanced method for coarsened exact matching. The main finding of the paper was the suggestion that most methods were comparable in simple cases of bias but in more complicated cases of bias the exact matching approach was superior.
Fate of realistic maize herbicides mixtures and impacts on soil microbial communities

In a context of production system sustainability, new generation molecules, more specific for their targets, are applied at low doses and as mixtures. However, these new agricultural practices are rarely taken into account in assessing eco-toxicological profiles of pesticides. The "mixture effect" approach is essential to link cumulative, synergistic or antagonistic effects of the different pesticides in the mixtures and to permit a better comprehension of environmental consequences of multiple applications.
Identification of Customer Requirements Based On Online Comments with Opinion Mining and IPA

This research studies the identification of customer requirements based the online comments posed on e-commerce websites. IPA method as well as opinion mining technique is applied to identify and categorize customer requirements, thus providing specific strategies for the company to keep its competitive power and utilize its resource efficiently. Specifically, a Chinese dependency syntax analysis is employed to extract clauses with specific product features and a clause level sentiment analysis algorithm is then proposed to compute the sentiment value of corresponding product feature. After that, two types of data as importance and frequency are adopted in IPA method to categorize the requirements. Then, a kind of popular Chinese smartphone is used as an example, and among all the 39 product features mined, 7 features are considered to need concentration as Operation, Response, Shot, Smooth system, Appearance, Cost performance and Fingerprint, and another 7 features including Firenze, Interface, Full screen, Color space, Network, Night scene and Texture are thought to be possible overkill. Therefore, for the company, it should spend more resource and time on those which need more focus while cut down on those might be overkill to strengthen its competiveness and increase customer stickiness.
Impacts of Biodiesel on the Environment

The world is presently confronted with the twin crises of fossil fuel depletion and environmental degradation. Excessive use of fossil fuels has led to global environmental degradation effects such as greenhouse effect, acid rain, ozone depletion and climate change. The search for alternative fuels, which promise a harmonious correlation with sustainable development, energy conservation, efficiency and environmental preservation, has become highly pronounced in the present context.Biodiesel is a globally biorenewable liquid transportation fuel. Biodiesel has become more attractive recently because of its environmental benefits. Biodiesel provides more usable energy than the fossil energy needed for its production, reduces greenhouse gases (GHGs), reduces several major air pollutants, and has minimal impact on human and environmental health through N, P, and pesticide release.
Precision Higgs Measurements at the 250 GeV ILC

The plan for the International Linear Collider (ILC) is now being prepared as a staged design, with the first stage of 2 ${\rm ab^{-1}}$ at 250 GeV and later stages achieving the full project specifications with 4 ${\rm ab^{-1}}$ at 500 GeV. The talk presents the capabilities for precision Higgs boson measurements at 250 GeV. It is shown that the 250 GeV stage of the ILC will already provide many compelling results in Higgs physics, with new measurements unavailable at the Large Hadron Collider, model-independent determinations of key parameters, and possible discrimination of a variety of scenarios for new physics