Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Analysis of Urban Landscape Fragmentation ( Case Study : Historical-Religious City of Ray )

Landscape fragmentation has threatened the landscape continuity of Ray which was maintained from prehistoric times until recent decades. From 19th century that Tehran sprawl growth affected Ray’s landscape as a satellite city of Tehran, Ray experienced rapid landscape fragmentation and underwent many changes. In order to cope with the threat, the process of changes from landscape fragmentation should be studied. For this purpose, integrated approach was applied to assess landscape fragmentation. Landscape fragmentation is analyzed based on physical and quantitative evaluation using landscape metrics and perceptual and quantitative evaluation through an in-depth interview with natives. The results have cleared an image of the structural changes and also great change of people’s perception during the time. Based on the results, Ray’s landscape is structurally fragmented, but native do not perceive it. This is while people perceive landscape functional fragmentation. This inconsistent perception of landscape has caused the native’s dissatisfaction about their living place. With the prepared image of landscape fragmentation in the City of Ray, city managers, designers, and planners will be able to deal with rapid changes and preserve landscape continuity of Ray.
Two-dimensional crack analysis using the extended finite element method with polynomial enrichment technique = 다항식 강화 기법이 적용된 확장유한요소법을 이용한 2차원 균열 해석

Extended Finite Element Method / General Finite Element Method is one of the most commonly used methods for crack analysis. This method does not require re-meshing as the crack propagates by enriching the displacement field by the partition of unity method. However, the mesh refinement process near the crack tip is still necessary to obtain a satisfactory solution. Recently, research was proposed to solve the linear dependence problem using the 2-D 4-node quadrilateral elements and to improve the solution through polynomial enrichment technique. In this thesis, a polynomial enrichment technique that resolves the linear dependence problem is applied to the Extended Finite Element Method using the 2-D 4-node quadrilateral elements. As a result, a method that does not require a mesh refinement process is proposed. In addition, an efficient adaptive local enrichment technique is proposed through the Zienkiewicz-Zhu error estimator in terms of degrees of freedom. Verification of the proposed method is performed through several fracture mechanics numerical examples.
Antioxidant Activity of Jatropha Curcas Linn . Bark Extract on Aspirin Induced Gastric Ulcers

Aim: The antiulcerogenic effects of the aqueous extract of Jathropa curcas Linn. on aspirin induced ulceration in rats with respect to antioxidant status in the gastric mucosa has been investigated. Merthodology: Oxygen free radicals are considered to be important factors in the pathogenesis of gastric ulcer. The level of lipid peroxides, which were elevated highly in rats with acute gastric mucosal injury, was taken as an index of oxidative stress . The activities of antioxidant defense enzymes were also decreased considerably by oral gastric administration of aspirin. Results: The decreased levels of antioxidant enzymes and increased mucosal injury were altered to near normal status upon pretreatment with Jathropa curcas Linn. extract when compared to the ulcer induced rats. The results indicate that Jathropa curcas Linn. extract may exert its gastro protective effect by a free radical scavenging action. Conclusion: Our observations suggest that Jathropa curcas Linn. extract may have considerable therapeutic potential in the treatment of gastric diseases.
Modeling of non-maturing deposits NIKITA

The interest in modeling non-maturing deposits has skyrocketed ever since the financial crisis 2008. Not only from a regulatory and legislative perspective, but also from an investment and funding perspective. Modeling of non-maturing deposits is a very broad subject. In this thesis some of the topics within the subject are investigated, where the greatest focus in on the modeling of the deposit volumes. The main objective is to provide the bank with an analysis of the majority of the topics that needs to be covered when modeling non-maturing deposits. This includes short-rate modeling using Vasicek’s model, deposit rate modeling using a regression approach and a method proposed by Jarrow and Van Deventer, volume modeling using SARIMA, SARIMAX and a general additive model, a static replicating portfolio based on Maes and Timmerman’s to model the behaviour of the deposit accounts and finally a liquidity risk model that was suggested by Kalkbrener and Willing. All of these models have been applied on three different account types: private transaction accounts, savings accounts and corporate savings accounts. The results are that, due to the current market, the static replicating portfolio does not achieve the desired results. Furthermore, the best volume model for the data provided is a SARIMA model, meaning the effect of the exogenous variables are seemingly already embedded in the lagged volume. Finally, the liquidity risk results are plausible and thus deemed satisfactory.
Mining Event Log Data to Improve a Loan Application Process

The event data of a loan application process is analysed. Process mining techniques are applied to discuss the process and to answer specific questions of the process owner. Opportunities for process improvement are discussed and recommendations are made. Various KPI, such as manual processing time and process cost are calculated, and the relationship between different KPI is explored. Finally, process mining is combined with statistical process control techniques to analyse relevant KPI over time, and to identify additional improvement areas. The combination of the two techniques turns out to be very powerful and provides a basis for continuous process improvement.
The linkage between human resource development intervention and corporate social responsibility: an overview and research agenda

This paper aims to focus on the linkage between Human Resource Development (HRD) Intervention and Corporate Social Responsibility (CSR). In this paper, CSR will be investigated from the aspect of perception. Nowadays, the lack of understanding about CSR has caused the perception towards CSR becoming less attractive and it has caused poor CSR implementation in organizations in which, indirectly, affecting employees’ interest in working with their employer. This is because most employees prefer to work with organizations that implement CSR. Hence, the HRD need to interfere by implementing training and development in order to improve positive CSR perception among employees and help the employees in understanding CSR better. This paper intends to suggest a tentative research agenda and offer direction for future researcher. The systematic and critical research approaches are applied to examine the linkage between HRD intervention and CSR in Universiti Teknologi Malaysia (UTM). This paper proposes the conceptual framework that assimilates the HRD intervention and CSR.
Neural Network-based Friction Identification in Hydraulic Actuators

The motion of hydraulic actuators are severly influenced by friction. In this paper the slip friction in hydraulic actuators is meassured using a techique that was originally deveoled for electrical motor driven mechanical systems (see [1]). The method is based on pressure measurement made in constant velocity regimes. The value of the friction force for different velocity regimes was calculated using the measured chamber pressures. To describe the nonlinear nature of friction, feed-forward and radial basis function type neural networks have been applied for friction modeling. Real time experimental results are provided to show the applicability of the proposed identification strategy.
1 TH / P 6-22 Turbulence Modeling of JET SOL Plasma

Abstract: The two dimensional (2d), electrostatic edge-SOL turbulence code ESEL is used to simulate the perpendicular dynamics of transport events in the JET Scrape Off Layer (SOL) and the self consistent development of the SOL profiles at the outboard midplane. The code results are compared to probe measurements of the JET SOL. Qualitative agreement is shown amongst others for profiles, for the magnetic field direction independent part of the parallel flow, and the correlation between parallel and perpendicular velocity fluctuations. The code predict magnetic field independent parallel flows with velocities of 0.2 ion sound speed The prospect of performing similar simulations for ITER is discussed.
Activity theory as a framework of information architecture for an e-learning system in vocational education

E-learning in vocational education has become an important model for learners in developing their skills. Information architecture (IA) in an e-learning system for vocational education is recognised as a key to the successful design of effective skills training. The use of activity theory centred on IA design principles for an e-learning system in vocational education is proposed in this article. An IA model is built highlighting the learner’s activity experiences. This IA model can be used to guide learners effectively, step-by-step, to obtain the needed information in the course of completing the learning objectives and tasks.
EG-CLIMET : OVERVIEW OF THE ACHIEVEMENTS OF THE ACTION

INTRODUCTION This document provides a summary of the major findi ngs and conclusions of the COST EGCLIMET action. It highlights four profiling instruments, their synergy, and NWP applications. The instruments provide profiles of aerosol and cloud b ackscatter, winds, temperature and humidity: 1) Ceilometers, 2) Doppler lidars, 3) Wind profilers, 4) Microwave Radiometers, 5) Synergy and NWP applications. For each instrument we provide: i) Background discu s ion, ii) The scope of the instrument, iii) Calibration, accuracy, sensitivity, and maint e ance issues, iv) Original contributions made by the EG-CLIMET a ction. The full wiki-based report can be found at http://wiki.eg-climet.org/.
Psychometric Characteristics of the Physical Activity Enjoyment Scale in the context of Outdoor Activity

The aim of this study was to assess the psychometric properties of the Physical Activity Enjoyment Scale in the context of outdoor physical activities. In order to do this, we carried out a research in some Primary and Secondary school l located in western Andalucía (Spain), with kids aged 9-12 years old [M= 11.22; SD= 1.07), therefore a sample of 455 students (228 boys= 50.1% 227 girls = 49.9% = 50.1) was used]. Descriptive, exploratory and confirmatory analyses were conducted. We also analyzed several factors such as internal consistency, composite reliability, average variance extracted and convergent validity. Afterwards, differences by gender and school year were also studied. Data showed the need to eliminate many of the items from the original scale, giving as a result a model of 5 items with satisfactory fit in the confirmatory analysis. The ANOVA statistical test carried out in terms of sex and school year didn’t show any tangible difference between the target groups.
Dynamics analysis of time-delay hydro-turbine governing system with two time-scales

Due to the existence of inertia and response time, time-delay always exists in the response of the guide vane opening and it may bring about multi time-scale effect. Therefore, time-delay modeling of hydro-turbine governing system with multi time-scale is addressed to investigate the dynamical behaviors of hydro-turbine governing system. The effects of the multi time-scale and time-delay on the dynamical behavior of the proposed system are analyzed. The fast-slow characteristic of the system is discussed via numerical simulations with the change of timescale or time-delay. Results suggest that not only the time-scale but also the time-delay have significant impact on the dynamical behaviors of the hydro-turbine governing system.
Hierarchical Word Alignment based on Dependency Forest

This paper introduces dependency forest based word alignment model which utilizes both source and target dependency forests in an attempt to minimize the impact on parse errors in 1-best parse trees. Hierarchical word alignment model which searches for k-best partial alignments on target constituent 1best parse trees has been shown to outperform previous models. However, relying solely on 1-best parse tree might hinder the search for good alignments because 1-best trees are not necessarily the best in practice. This paper describes how k-best alignments are constructed over target-side dependency forest. Alignment experiments on Japanese-English and Japanese-Chinese show that both the variation and structural similarity of source and target forest are important for our model to fully benefit from forests.
DEPARTMENT OF INFORMATICS PROGRAMME OF POSTGRADUATE STUDIES IN COMPUTER SCIENCE M.Sc. Thesis “A Personalised System to Predict Retweets”

Information on social media is ever increasing, but much of the information provided is often of very little, if any, importance to users. In this thesis we tried to develop a system of personalised tweet recommendation, by using a mechanism to predict how likely it is for a specific tweet to be retweeted by a specific user. Previous work has shown that retweeting may be a soft signal that a tweet was interesting to a user, which can be used to train recommendation systems. Furthermore, our system, although personalised, was designed to be trainable on data aggregated over multiple users, offering a single, global model, which is nevertheless used for personalised, rather than global, predictions of retweets. We present a full study of a retweet likelihood classifier, including dataset aggregation, feature engineering and feature/model selection.
An Implementation of LOD Instance Development System using Schema-Instance Layer Separation

The research and development of Web of Data to realize the opening and sharing of diverse, heterogonous data on the Web has been actively accomplished. As a standard data model for this effort, Linked Open Data (LOD) based on ontology has been proposed. In general, LOD datasets consist of two elements: the ontology that defines the common vocabularies and the instances that represents the actual data of information resources. For the effective development of LOD datasets, it is required that the instance layer should be separated from ontology layer. This paper proposes a new method to separate the instance layer from the ontology layer. A Schema-Instance Interface (SII) between ontology layer and instance layer is devised to separate and interconnect two layers. This papers also describes a LOD instance development system based on SII. This system can generate the application-specified instance development system automatically. The proposed system can be applied for the practical LOD datasets development in the diverse application areas since even novices without knowledge about domain ontology can develop LOD datasets.
Project Report : Leveraging Near Memory Processing for Cuckoo Cycles

Near-data processing is a hardware enhancement that uses lighter-weight processors and a ”vault” of closelycoupled memory in order to efficiently run tasks with poor locality (that is, tasks in which most cache accesses are likely to be misses.) Prior work in my research group has been mostly focused on performance of data structures. This paper documents the results of delegating a major task in an application to near-data processing, as well as implementation challenges from a software development perspective.
Mesozooplankton (Crustacea: Copepoda and Cladocera) dynamics in a large, ultra-oligotrophic Andean lake

We studied mesozooplankton dynamics in the Tristeza arm of lake Nahuel Huapi. Mesozooplankton biomass, size and vertical distribution showed marked seasonal fluctuations. Mesozooplankton was represented by seven species. We document for the first time the existence of Daphnia cf. pulex in this lake.
Linking Convective Self-Aggregation in Idealized Models 1 to Observed Moist Static Energy Variability near the 2 Equator

14 Idealized cloud-permitting simulations of radiative-convective equilibrium have become 15 a popular tool for understanding the physical processes leading to horizontal variabil16 ity of tropical water vapor and rainfall. However, the applicability of idealized simula17 tions to nature is still unclear given that important processes are typically neglected, such 18 as lateral vapor advection by extratropical intrusions, or interactive ocean coupling. Here, 19 we exploit an emerging spectral analysis technique that compactly summarizes the multi20 scale processes supporting convective aggregation. By applying this framework to high21 resolution reanalysis data and satellite observations in addition to idealized simulations, 22 we compare convective-aggregation mechanisms across horizontal scales and data sets. 23 The results affirm the validity of the RCE simulations as an analogy to the real world. 24 Column moist static energy spectral tendencies share similar signs and scale-selectivity 25 in cloud-permitting models and observations: Radiation increases variance at wavelengths 26 above 1,000km, while advection damps variance at all wavelengths, and surface enthalpy 27 fluxes mostly reduce variance between wavelengths of 1,000km and 10,000km. 28 Plain Language Summary 29 Advances in computing have allowed computer models to simulate tropical weather 30 systems spanning a few dozen kilometers at the same time as moist and dry regions span31 ning several thousand kilometers. To improve and validate computer models, we need 32 to compare computer simulations to real-world observations, but we lack a compact way 33 of simultaneously comparing them at scales close to 10km, 100km, 1,000km, and 10,000km. 34 By breaking down water vapor variability near the Equator into contributions from these 35 different length scales, we can identify the scales at which computer models agree with 36 real-world observations and explain why. Surprisingly, even computer models that are 37 run in a highly idealized configuration validate well against observations of the real world, 38 despite the fact that nature never attains this idealized limit. We find that atmospheric 39 radiation tends to intensify moist and dry regions of several thousand kilometers near 40 the Equator, while lateral transport of energy and surface-atmosphere exchanges tend 41 to smooth out these moist and dry regions. 42
DEVELOPING STUDENTS’ READING COMPREHENSION SKILLS THROUGH “KNOW, WANT TO KNOW AND LEARNT” (KWL) STRATEGY

The objective of the research is to explain the implementation of KWL strategy in English reading class and the students’ responses towards it. The research was carried out at MAN Karanganyar Central Java, from January to May 2016 employing a Classroom Action research (CAR). The subject of the research is thirty students of MAN Karanganyar, twelfth grade. The data were obtained from several techniques including test, observation, in-depth interview, questionnaires and document analysis. The researcher applied a descriptive statistics to analyze the quantitative data and constant comparative method to analyze the qualitative ones. The findings reveal that KWL strategy can develop the students’ reading comprehension skills in finding the main idea, detailed information, inference, word meaning, and references. This strategy also helps teachers to get students to be more active to participate in the process of learning, expanding knowledge, learning their needs and interests, and activating their background knowledge. It implies that KWL strategy is very useful for developing students’ reading comprehension skills. Therefore, it is recommended the English teachers to apply KWL strategy in teaching reading comprehension. Keywords: Reading Comprehension, KWL, CAR
esign and analysis of UW-OFDM signals

Unique word-orthogonal frequency division multiplexing (UW-OFDM) is a novel signaling concept where the guard interval is implemented as a deterministic sequence, the so-called unique word. The UW is generated by introducing a certain level of redundancy in the frequency domain. Different data estimation strategies and the favourable bit error ratio (BER) performance of UW-OFDM, as well as comparisons to competing concepts have already extensively been discussed in previous papers. This work focuses on the different possibilities on how to generate UW-OFDM signals. The optimality of the two-step over the direct approach in systematic UW-OFDM is proved analytically, we present a heuristic algorithm that allows a fast numerical optimization of the redundant subcarrier positions, and we show that our original utorial intuitive approach of spreading the redundant subcarriers in systematically encoded UW-OFDM by minimizing the mean redundant energy is practically also optimum w.r. t. transceiver based cost functions. Finally, we derive closed form approximations of the statistical symbol distributions on individual subcarriers as well as the redundant energy distribution and compare them with numerically found results. ors. P © 2014 The Auth
The Impact Of Foreign Direct Investment On Turkish Economy 2010–2016

Summary This study focuses on Foreign Direct Investment (FDI) inflows and how they are linked with the economic indicators in Turkey including the Real Effective Exchange Rate (REER), and Gross Domestic Product per capita of Purchasing Power Parity - GDP (PPP) in Turkey. The GDP (PPP) variable is used because it shows significant causality on REER, along with the exchange rate volatility of the U.S Dollar in the Turkish stock market. Also, as an important sector of the Turkish economy, tourism revenue is elucidated according to the Organization for Economic Co-operation and Development (OECD) data from 2016. The main objective of this study is to evaluate the impact of the FDI investment on economic condition in Turkey for the period between January 2010 and July 2016. The selected period is important because it represents the crucial time for Turkish economy following the 2008 global financial crisis along with the ongoing Civil War in neighboring Syria that had initiated in 2012, Turkish-Russian crises of 2015, and the military coup attempt in Turkey in 2016. It is argued that despite all the negative international and regional developments, FDI and Tourism play key roles in attracting income to the country. This is presented in the level of REER and GDP for PPP. The results also support the findings of many economists, who have previously asserted that the Turkish economic interaction is growing at a globalized level, and is able to compete with the other large attractive areas for foreign investors around the world. Finally, the results demonstrate that the tourism industry was the least affected sector in Turkey.