Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Control Parameters in Electrical Discharge Machining- A Review

The machining of hard composite materials causes serious tool wear due to the abrasive nature of reinforcement by conventional machining techniques. Therefore non- conventional machining techniques are used to machine such advanced materials. Wire cut electric discharge machining process is a non- conventional machining technique that fulfills the requirements of tooling and machining industries. Wire Electrical discharge machining (WEDM) has higher capability for cutting complex shapes with high precision for these materials without using high cost of cutting tools. The risk of wire bending and breakage is a serious problem, which reduce the efficiency and accuracy of the WEDM operation. The main causes of wire bending and breakage are energy between wire tool and work piece, dielectric fluid and wire material. This research paper highlights the review of the published work on WEDM which are related to energy, dielectric fluid and material of wire tool. The main purpose of this research paper is to investigate the effect of produced energy during operation, dielectric fluid and material of wire tool on the response parameters material removal rate, surface roughness and kerf width in wire electrical discharge machining (WEDM).
INTEGRATED METHODS FOR PERFORMANCE MEASUREMENT IN ENTITIES FROM THE WINE SECTOR IN ROMANIA

ABSTRACT. This article highlights the authors attempt to identify modern cost calculation methodsand appropriate performance measurement tools and their integration in order to improve theperformance of the economic entities from the wine sector in Romania. Identifying methods andtools for performance measurement are based on an analysis of a representative sample ofspecialists from the economic entities from wine sector in Romania. The article is littered withempirical studies designed to highlight the performance of the economic entities from the winesector based on using the integrated methods such as Activity Based Costing (ABC) method andBalance Scorecard (BS) method. All the results obtained based on the specific methodology of themethods studied are analyzed by the authors. The article ends with the conclusions of the authorson using integrated methods for measuring performance in the entities from the wine sector inRomania.
Effect of Hydrogen Fumigation in a Dual Fueled Heavy Duty Engine

Concerns over the impact of road transport emissions on the climate have led to increased focus on how CO2 emissions could be reduced from the sector. This is of particular concern in the commercial vehicle sector, where engine downsizing and electrification have limited benefit due to the vehicle duty cycle. In this paper, we present results from an experimental program to investigate the impact of dual fueling a heavy duty engine on hydrogen and diesel. Hydrogen is potentially a zero carbon fuel, if manufactured from renewable energy but could also be manufactured on the vehicle through steam reformation of part of the liquid fuel. This opens a novel pathway for the recovery of waste heat from the exhaust system through the endothermic steam reformation process, improving the overall system efficiency. For these concepts to be viable, it is essential the dual fueled combustion system is both thermally efficient, and does not increase toxic emissions such as NOx. The test program reported studied the impact of hydrogen injection into the engine intake system with and without Exhaust Gas Recirculation (EGR). The baseline engine was calibrated to achieve Euro VI NOx emissions with various aftertreatment strategies. The impact of displacing diesel with increased quantities of hydrogen was studied. The results are compared with a conceptual model of the hydrogen – diesel combustion process presented in the paper.
FREE, ACCESSIBLE MEDIA AND QUALITY OF GOVERNMENT

In contrary to what might be expected from the results of previous research conducted on media freedom, there is a variation in both perceived corruption and quality of government (QoG) among countries with free media. This paper suggests that there is a need for complementary and more precise measures of media system characteristics in order to understand the role of the media in the fight against corruption and in promoting QoG. The purpose of this study is therefore to develop and use alternative media system measures to empirically test the relationship between media system characteristics and QoG and in what way media system characteristics can explain variations in QoG across 36 European countries. The results show that media freedom is a basic condition that is essential for media to play any role in promoting QoG. However, the results of this study also imply that accessibility and citizens’ ability to obtain information delivered by the free media are at least as important.
Classification of Synthetic Aperture Radar Images using Fuzzy SVMs

: In this study, the classification of synthetic aperture radar images are analyses using fuzzy support vector machines. The issues in the classification of SAR images are not addressed properly and remains an unsolved problem in few instances. This study provides one of the best methodology to classify SAR based image databases with fuzzy support vector machines. All the concepts which are derived and applied are based machine learning algorithms. The designed and developed methodology has got many applications in the area like weather forecasting, flood impact monitoring, designing crop calenders, early detection of drought and many more. All the algorithms applied in this study are pixel oriented. This study is carried out on the SAR images collected from the publicly available AXA EORC data set. We designed a model based mathematics and statistics which is developed in the python programming language. Several algorithms are designed to analyze SAR images in which fuzzy support methodology is exhibited high performance. Reports discussed in this study shown that the efficiency of fuzzy support vector machines to classify synthetic aperture radar image is 95.3% without any heuristic information.
Genetic divergence of the Siberian chipmunk Tamias sibiricusbarberi (Rodentia: Mammalia) in Korea using three conserved genes ( IRBP , 12S rRNA and 16S rRNA)

The Siberian chipmunk (Tamias sibiricus, Laxmann 1769), composed of nine subspecies (T. s. asiaticus, T. s. lineatus, T. s. okadae, T. s. ordinalis, T. s. orientalis, T. s. pallasi, T. s. senescens, T. s. sibiricus, and T. s. um bro sus), is a sole member within the subgenus Euta mias, and its distribution expands from northern European Russia to Sakhalin, including northern Mongolia, China, Korea, and Japan (Thorington & Hoffmann, 2005). Tate (1947) classified the Siberian chipmunk from Us suri and Korea as T. s. orientalis, but Jones & Johnson (1965) classified the Siberian chipmunk from the central and southern regions of Korea as a new sub spe cies of T. s. barberi because its morphology differ ed from that of T. s. orientalis in NE China. On the other hand, Corbet (1978) reclassified the 13 nominal subspecies of the Siberian chipmunk into four subspecies: subspecies sibiricus from mainland East Asia except for southern China; albogularis from southern Shaanxi and Sichuan, China; barberi from the Korean Peninsula; and lineatus from Hokkaido and Sakhalin, but whether or not the subspecies barberi could be considered a discrete subspecies remained debatable. Koh (1994) reported from a morphometric analysis that the subspecies barberi from Korea is not distinct from the subspecies orientalis from NE China, indiJournal of Biological Research-Thessaloniki 19: 111 – 119, 2013 J. Biol. Res.-Thessalon. is available online at http://www.jbr. gr Indexed in: WoS (Web of Science, ISI Thomson), SCOPUS, CAS (Chemical Abstracts Service) and DOAJ (Directory of Open Access Journals)
Comparison between Traditional Non-Destructive Techniques and Phase Contrast X-Ray Imaging applied to Aeronautical Carbon Fibre Reinforced Polymer

The EU-project EVITA (Non-Destructive EValuation, Inspection and Testing of Primary Aeronautical Composite Structures Using Phase Contrast X -Ray Imaging) aims at bringing Grating-based Phase Contrast X-ray imaging techno logy to Non-Destructive Evaluation and Inspection of primary and/or complex aeronautical composite structures. Grating-based Phase Contrast X-Ray Imaging (XPCI) is b ased on the so-called Talbot-Lau interferometer, which is made of the combi nation of a standard X-ray apparatus with three transmission gratings as documented in the literature. This study presents a comparison of three traditional non-destructive techniqu es (NDT): ultrasonic through transmission and ultrasonic phased-array, infra -red thermography (IRT), and X-Ray computed tomography (X-Ray CT) with the developed phase contrast X-Ray Imaging applied to aeronautical carbon fibre reinforced polymer (CFRP). This comparison process will concentrate on carbon fibre laminates. Typical defects produced during manufacture will be examined as part of the testing and validation procedure. The following defects have been identi fied as being those most likely to be detected more effectively by the XPCI pro cess than other state of the art industrial NDT techniques: porosity, foreign objects, crack s, resin rich, cut fibres, and wavy fibres. The introduction of this innovative methodology is expected to provide the aeronautical industry with a reliable and detailed insight of the integrity of thin and thick composite structures as well as of com plex geometry ones, such as integrated closed boxes and sandwiches. This paper will first present the grati ng-based phase contrast X-Ray imaging developed in this project applied to Aeronautical carbon fibre reinforced polymer. It follows with a discussion of the comparison methods on porosity and cracks detection. More info about this article: http://ndt.net/? id=19440
Representing Petri net structures as directed graphs

This paper attempts to explain some basic properties about Petri nets and their relation to directed graphs that can be formal or informal. The related works justifies the reasoning how and why Petri nets are obtained or supported using graphs. The main problem tackled is how graphs can be obtained from Petri nets. Possible solutions that use reduction methods to simplify the Petri net are presented. Different methods to extract graphs from the basic or fundamental Petri net classes are explained. Some examples are given and the findings are briefly discussed.
A NOVEL DOUBLE GATE FINFET TRANSISTOR: OPTIMIZED POWER AND PERFORMANCE ANALYSIS FOR EMERGING NANOTECHNOLOGIES

Abstract—FinFET technology has been proposed as a promising alternative for deep sub-micron CMOS technology,because of its superior device performance, scalability, lower leakage power consumption and cost-effective fabricationprocess. Fin-type field-effect transistors (FinFETs) are capable substitutes for bulk CMOS at the nano-scale. Previous workshave studied the performance or power advantages of FinFET circuits over bulk CMOS circuits. This paper elucidates thedependability analysis of Average power, Leakage power, Leakage current and Delay of AND gate using double gateFinFET. Our experiments compare FinFET circuits at different voltages at 45 nm technology in virtuoso tool of cadence,showing that DG FinFET circuits have better dependability and scalability.Keywords—double gate FinFET; fin width; low power circuit; device analysis
Loss Modeling with Mixtures Distributions in R Package

Finite mixtures of probability distributions may be successfully used in the modeling of probability distributions of losses. These distributions are typically heavy tailed and positively skewed. Finding the distribution that fits loss data well is often difficult. The paper shows that the use of mixed models can significantly improve the goodness-of-fit of the loss data. The paper also presents an algorithm to find estimates of parameters of mixture distribution and gives an illustrative example. The analytical approach is probably the most often used in practice and certainly the most frequently adopted in the actuarial literature. It is reduced to finding a suitable analytical expression which fits the observed data well. For parameters estimation we use the maximum likelihood method applying the Newton-Raphson and EM algorithm. Computations of goodness-of-fit can be judged using the Akaike information criterion.
On the Effect of Cooperative Writing on Students’ Writing Ability, WTC, Self-efficacy, and Apprehension

Co-authoring is a type of cooperative writing which requires students to cooperate in order to write. The present study is carried out to see whether cooperative writing affects students’ levels of writing ability, writing apprehension, writing self-efficacy, and writing WTC. Two intact classes have participated in this study. A conventional group (n= 31), and a cooperative (n= 36) participated in the study. The students in the experimental group were writing essays in groups of four, helping each other during the process of writing; on the other hand, in the control group, the whole procedure was done individually. The analysis of the data revealed that the writing ability of the students in cooperative group improved significantly more than that of the students in the conventional group. The further analysis showed the superiority of cooperative writing classes in the affective domain. The results of the present study shed more light on the efficiency of cooperative writing in terms of both writing ability and affective factors. A set of pedagogical implications are also provided.
KYMENLAAKSON AMMATTIKORKEAKOULU University of Applied Sciences Degree Programme in International Business Management Stefanie Priha ATTRACTING GERMAN TOURISTS TO THE CITY OF KOUVOLA THROUGH A TOURISM DESTINATION WEBSITE

KYMENLAAKSON AMMATTIKORKEAKOULU University of Applied Sciences International Business Management PRIHA, STEFANIE Attracting German tourists to the city of Kovuola through a tourism destination website Master’s Thesis 89 pages + 4 pages of appendices Supervisor Satu Peltola, Dr. Sc. , Senior Lecturer Commissioned by Kymenlaakson Ammattikorkeakoulu March 2014
Emotion Eliciting in Affective Design

A successful product needs the designer’s conceptual model congruent with the user’s mental model. The fundamental affective design principle also applies to assistive product design. Eliciting effectively the user’s mental model has been a big challenge for most novice designers. This paper outlines the concept of an integrated design method that is developed to aid novice designer through the conceptual design stage. Multi-modal stimulation is used in this design method to induce user’s emotion, a key element in the user’s mental model. Visio-haptic Augmented Reality technology is integrated with 3D digital prototype as emotion stimulus. To form a closed loop reflective model, the emotion response from the user is assessed with an emotion assessment tool. Emotion ontology is established to form the backbone of the emotion assessment tool.
ACTIVITY OF RAT DORSAL STRIATAL MEDIUM SPINY NEURONS DURING ODOUR SAMPLING IN A WORKING MEMORY CAPACITY TASK

ii ACKNOWLEDGEMENTS . iii TABLE OF CONTENTS . iv LIST OF FIGURES . vi LIST OF TABLES . vii LIST OF ABBREVIATIONS . viii 1.0 GENERAL INTRODUCTION . 1 1.1 Working Memory: Humans and Rats . 1 1.2 The Striatum and Working Memory . 4 1.3 Striatal Cytoarchitecture . 6 1.4 Electrophysiological Techniques . 9 1.5 Schizophrenia and Working Memory . 12 1.6 The Odour Span Task . 13 1.7 Hypotheses . 13 2.0 MANUSCRIPT . 16 2.1 Title Page . 16 2.2 Abstract . 17 2.3 Introduction . 18 2.4 Materials and Methods . 21 2.4. 1 Modifications . 21 2.4. 2 Subjects . 22 2.4. 3 Apparatus . 22 2.4. 4 Odours . 23 2.4. 5 Training on the Odour Span Task . 23
Possibility of deep learning technique in CT image reconstruction

Poster: "ECR 2018 / C-1653 / Possibility of deep learning technique in CT image reconstruction" by: "T. Higaki1, Y. Nakamura1, F. Tatsugami1, M. Iida1, Z. Yu2, J. Zhou2, N. Akino3, S. Tsushima 4, K. Awai1; 1Hiroshima/JP, 2Vernon Hills, IL/US, 3Otawara-shi, Tochigi-ken/JP, 4Tochigi 324-8550/JP"
Science with hot astrophysical plasmas

We present some recent highlights and prospects for the study of hot astrophysical plasmas. Hot plasmas can be studied primarily through their X-ray emission and absorption. Most astrophysical objects, from solar system objects to the largest scale structures of the Universe, contain hot gas. In general we can distinguish collisionally ionised gas and photoionised gas. We introduce several examples of both classes and show where the frontiers of this research in astrophysics can be found. We put this also in the context of the current and future generation of X-ray spectroscopy satellites. The data coming from these missions challenge the models that we have for the calculation of the X-ray spectra.
A gap theorem for complete noncompact manifolds with nonnegative Ricci curvature

Let M be an n-dimensional complete noncompact Riemannian manifold with nonnegative (sectional or Ricci) curvature. We are interested in the question that how much the curvature could have near the infinities. In views of the classical Bonnet-Meyers theorem there cannot too much positive curvature there otherwise the manifold would close up, ceasing to be noncompact. At first sight, there seems to be no restriction in the other direction, no limit on how less positive curvature can have. For example, it is easy to construct complete metrics on R from surface of revolution such that their curvatures are zero outside some compact set, nonnegative everywhere, and positive somewhere. But it is rather surprising that the corresponding situation for a complete manifold M with dimension n > 2, can not occur. In [MSY] Mok, Siu and Yau proved that if a complete noncompact Kahler-Stein manifold of nonnegative holomorphic bisectional curvature of complex dimension m>2 has maximal volume growth and the scalar curvature decays faster than quadratic, in the sense that, for some C > 0 and e > 0,
Analysis of Trace Metals in Commercially Important Crustaceans Collected from UNESCO Protected World Heritage Site of Indian Sundarbans

The study, which measured the concentrations of Zn, Cu, Pb and Cd, in muscle tissue of 5 commercially important crustacean species (Penaeus monodon, Penaeus indicus, Penaeus semisulcatus, Penaeus marguensis and Metapenaeus brevicornis) collected from the UNESCO declared world heritage site Indian Sundarbans. The Indian Sundarbans at the apex of Bay of Bengal is recognized as one of the most diversified and productive ecosystems in the world located at the confluence of HooghliMatla estuarine complex. However, due to intense industrialization, urbanization and increase of anthropogenic activities in recent era, Indian Sundarbans have been contaminated with heavy metals which vary with seasons and often exhibit pronounced monsoonal effect. Significant variation of heavy metals in muscle tissue of 5 commercially important crustaceans or shrimp species collected from four different sampling stations (2 each in central and western sector ) of Indian Sundarbans were observed. The distribution of trace metals accumulated in all the muscle tissues of shrimp species followed the order Zn > Cu> Pb> Cd. The concentration of metals exhibited significant spatial variation and followed the order station 1 >station 2 > station 3 > station 4, which may be related to different degree of contamination in different location (p < 0.01) that indicated the adverse impact of industrialization and urbanization on the edible crustaceans community. Although the concentration of selected heavy metals were within the normal range in all stations, but at station 1 the metal level has exceeded in the muscle of shrimp species as a food source for human consumption.
The Effect of Regionalism and Infrastructure on Bilateral Trade: An Augmented Gravity Analysis for ASEAN

This paper estimates the effects of regionalism in South East Asia (AFTA), infrastructure, economic size, distance, and common border on the ASEAN trade flows. The trade flow evolutions of 97 ASEAN’s partner during 1990–2000 are considered in the analysis through the utilization of cross-sectional and panel gravity model. The results show that as a symbol of regionalism in ASEAN, the coefficient of AFTA and infrastructure are positively significant in affecting the ASEAN trade flows for most periods. The other determinants, i.e. economic size (income), and distance affect significantly the ASEAN trade flows. However, common border is found to have no effect on ASEAN trade.
Face Identification by Means of Segmentation Algorithm Based on Skin Pigments and Competitive Fuzzy Edge Detection Features

Face , as a complicated pattern , can have various manners that makes it difficult for computer to identify it. One of the effective methods for identifying faces is extract skin regions in an image, so that pigment feature is a useful component for finding these regions in color images, which is today used largely by researchers. Research has shown that division only based on skin pigments is not efficient for determining image edges. This paper suggests a modified tracking algorithm for identifying face. Different models of color spaces especially YCbCr , HIS have been combined by a strong determining techniques called competitive fuzzy edge finder to identify face regions in color images, effectively. Test results show effectiveness and efficiency of this algorithm in comparison with other methods.
Characteristics and evolution of an Agulhas ring

A South Atlantic ring is studied through remote sensing altimetry, hydrographic stations and drifters' trajectories. The ring's core was characterized by warmer and saltier Indian Ocean waters. At the time of the cruise the ring's signature extended out 110 km and down to 2000 m, and its core absolute dynamic topography (ADT) exceeded the surrounding Atlantic Ocean waters in 0.4 m. The geostrophic velocities were anticyclonic with maximum velocities about 35 cm s−1 at 100 m and reaching negligible values near 4500 m. The rotational transport inside the ring was 33 Sv in the thermocline and intermediate layers. The drifters' data distinguishes a 30-km core revolving as a solid body with periodicity near 5 days and a transitional band that revolves with constant tangential velocity, resembling a Rankine vortex. The ADT data identifies the ring's track, showing that it was shed by the Agulhas Current retroflection in November 2009 and propagated northwest rapidly during the first two months (mean speed ca. 10 cm s−1) but slowed down substantially (3-4 cm s−1) between March and July 2010, when it was last detected. The altimetry data also outlines the evolution of the ring's core ADT, radius, vorticity and, through a simple calibration with the cruise data, rotational transport. In particular, the ring surface and mean vorticity decay with time scales of 373 and 230 days, respectively, indicating that most of the property anomalies contained by the ring are diffused out to the subtropical gyre before it reaches the western boundary current system.