Miracle-dz/UniFAR-FTUs huggingface dataset:
A Virtual Odometer for a Quadrotor Micro Aerial Vehicle

This paper describes the synthesis and evaluation of a “virtual odometer” for a Quadrotor Micro Aerial Vehicle. Availability of a velocity estimate has the potential to enhance the accuracy of mapping, estimation and control algorithms used with quadrotors, increasing the effectiveness of their applications. As a result of the unique dynamic characteristics of the quadrotor, a dual axis accelerometer mounted parallel to the propeller plane provides measurements that are directly proportional to vehicle velocities in that plane. Exploiting this insight, we encapsulate quadrotor dynamic equations which relate acceleration, attitude and the aerodynamic propeller drag in an extended Kalman filter framework for the purpose of state estimation. The result is a drift free estimation of lateral and longitudinal components of translational velocity and roll and pitch components of attitude of the quadrotor. Real world data sets gathered from two different quadrotor platforms, together with ground truth data from a Vicon system, are used to evaluate the effectiveness of the proposed algorithm and demonstrate that drift free estimates for the velocity and attitude can be obtained.
DSGM-Based Analysis of Computer Networks Security

The computer game framework is an extension of attack graphs based on game theory. It is used for the anticipation and analysis of intruder and administrator concurrent interactions within the network. Like attack-graph-based model checking, the goal of an anticipation game is to prove that a safety property holds. However, using this kind of game is tedious and error prone on large networks since it is based on the assumption that the analyst has prior and complete knowledge of critical network services. This work presents a non-zero, Deterministic Stochastic Game-theoretic Modeling (DSGM) method for analyzing the security of computer networks. The interaction between an attacker and a defender is viewed as two-player non-zero deterministic game whose model is constructed using a saddle point solution (non-linear program) to compute the value of the game. The probability of possible attack on a network given available attacker strategy or best-response strategies for the attacker and the defender was demonstrated. The simulation of the model was achieved using Java, which is a high level language with object oriented programming capabilities and features. The backend is implemented using MySQL, which is a widely used Relational Database Management System (RDBMS). Selected results of the games played were presented with analysis showing some likely attacker activities and the counter measures from the defender.
The Gambling Urge Scale: Reliability and validity in a clinical population

The aim of this study was to establish reliability and validity of the Gambling Urge Scale (GUS) in a clinical population of problem gamblers. This cohort study was conducted in South Australia between March 2008 and March 2009. Participants were problem gamblers aged ≥18 years (n = 158) who were seeking treatment from a range of gambling help services. Measures included gambling urge, problem gambling screening, gambling behaviour and problems caused by gambling, such as personal health and relationships. The psychometric properties investigated were internal reliability, criterion-related validity, concurrent validity and construct validity. Results showed high internal consistency for GUS (α = 0.93) and significant item-rest correlations ranging from 0.72 to 0.86. For criterion-related validity, a GUS cut score of three correctly classified 81.13% of participants as problem gambling with sensitivity 84.75% and specificity 76.6%. Concurrent validity was significant with a number of gambling-related symptoms and problems including psychological disturbance, work and social functioning and gambling-related cognitions (p < 0.001). An insignificant correlation was found between gambling urge and sensation seeking traits (p = 0.663). When controlling for gender and age the instrument was shown to have significant predictive properties for different levels of gambling severity (p < 0.001). A principal component analysis for the one component showed an overall explained variance of 75.54%. These findings indicate that GUS is a valid and reliable instrument for problem gambling screening, to measure treatment outcomes and may predict relapse in problem gambling.
The Impact of Capital Market on Economic Growth: A Malaysian Outlook

This study analyzes the influence of the stock market and the debt market on the Malaysian economy. The Johansen-Juselius co-integration test reveals the existence of co-integrating relationship between real GDP per capita, stock market and debt market. The VECM long-run results show that both, the stock market and the debt market, have positive and significant influence on the Malaysian economy. The stock market is found to exert greater influence on the Malaysian economy compared to the debt market. Furthermore, unlike the debt market, the stock market is found to exert uni-directional causality on the economy. Since both markets have significant and positive influence on the Malaysian economy, the policy makers should implement appropriate measures to be able to fully utilize the opportunity created by both markets, especially the liquidity condition of the stock market as it influences an investor’s financial and investment decision making process.
Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia

The Lena River basin in Siberia produces one of the largest river inflows into the Arctic Ocean. One of the most important sources of runoff to the river is spring snowmelt and therefore snow ablation processes have great importance for this basin. In this study, we simulated these processes with fine resolution at basin scale using MicroMet/SnowModel and SnowAssim. To assimilate snow water equivalent (SWE) data in SnowAssim, we used routine daily snow depth data and Sturm’s method. Following the verification of this method for SWE estimation in the basin, we evaluated the impact of snow data assimilation on basin-scale snow ablation. Through validation against MODIS snow coverage data and in situ snow survey observations, we found that SnowAssim could not improve on the original simulation by MicroMet/SnowModel because of estimation errors within the SWE data. Vegetation and accumulated snowfall control the spatial distribution of sublimation and we established that sublimation has an important effect on snow ablation. We found that the ratio of sublimation to snowfall in forests was around 26% and that interannual variation of sublimation modulated spring river runoff.
THE INTERNATIONAL EXPANSION OF RUSSIAN ENTERPRISES. LOOKING AT ITALIAN TARGETS

Investment activity by Russian enterprises is a relatively recent phenomenon that is meeting with mounting interest among analysts and researchers, as has occurred for the other emerging economies. Brazil, Russia, India and China - the so-called "BRIC" nations - are affirming themselves at the international level for their ability to invest considerable resources in both developing countries and industrialized economies (Sauvant, 2005; 2008; Ramamurti R., Singh, 2009; Goldstein, 2009). For these nations, foreign direct investment (FDI)115 represents a fundamental means of achieving economic growth as well as political affirmation at the global level. FDI allows highly accelerated, and often unbalanced, growth processes to be adjusted at the national level. At the same time, individual enterprises, particularly through acquisitions, enjoy access to energy sources and commodities, advanced technologies, brands, skills, know-how and distribution channels to be used to expand and conquer new markets, including in the West (Sauvant, 2005; Spigarelli, 2009).
EVALUATION OF INFERENCE METHODS IN GLMMS FOR ECOLOGICAL MODELING

Inference in generalized linear mixed models (GLMM) remains a topic of debate. Baayen, Davidson, and Bates (2008) outlines criticism against conventional ways of performing inference for GLMMs. There are various alternatives proposed but little consistency is found on which is the most reasonable. Our focus is on assessing temporal trends for mainly ecological count data. That is, we hope to provide a pragmatic approach to Poisson GLMMs for ecological researchers within the statistical programming environment R. To achieve this, we start by providing a description of the selected estimation and inferential procedures. We then complete a large scale simulation to evaluate each of the estimation methods. We implement a power analysis to assess each of the selected inferential procedures. We then go on to apply these procedures to data sampled by The National Parks of Canada. Finally, we conclude by giving a summary of our findings and outlying work for the future.
Experimental Investigation and Modeling of PMEDM Process with Chromium Powder Suspended Dielectric

In this article, a material removal rate (MRR) and tool wear rate (TWR) study on the powder mixed electrical discharge machining (PMEDM) of EN-8 steel has been carried out. Re- sponse surface methodology (RSM) has been used to plan and analyze the experiments. Peak current, pulse on time, diameter of electrode and concentration of chromium powder added into dielectric fluid of EDM were chosen as process parameters to study the PMEDM performance in terms of MRR and TWR. Experiments have been performed on newly designed experimental setup developed in laboratory. Most important parameters affecting selected performance meas- ures have been identified and optimum process conditions have been found. Also recommended optimal conditions have been verified by conducting confirmation experiments.
An Investigation of Antibiotic Resistance of Aggregatibacter Actinomycetemcomitans and Porphyromonas Gingivalis in Peri-implantitis Lesions

Background and Aim: It has been shown that anaerobic and capnophilic bacteria play an important role in implant failure and loss. The present study is an in vitro research aimed to investigate the antibiotic resistance of Aggregatibacter actinomycetemcomitans (Aa) and Porphyromonas gingivalis (Pg) in peri-implantitis lesions of Iranian patients and to find laboratory efficiency of some antibiotic on these two bacteria. Materials and Methods: In this antibiogram study, the plaque samples were obtained from peri-implantitis lesions from patients who referred to implant center of Faculty of Dentistry of Tehran University of Medical Sciences. Nine samples incubated in Aa-specific culture media and 9 samples incubated in Pg-specific culture media under anaerobic and capnophilic conditions. After 48 hours, colonies were verified by microscopic and biomedical examination, and a colony-counting device. Then the specimens were cultured in the specific culture media for antibiogram evaluations by measuring the diameter of growth inhibition zone of antibiotic standard disks of amoxicillin, co-amoxiclav, metronidazole, tetracycline, clindamycin, and ciprofloxacin. Results: There was no statistically significant difference (P=0.74) between the colony count of Aa (84.56±16.65) and Pg (87.67± 21.49). Most of growth inhibition zone ranged between 10 and 35 mm. The Pg specimens were significantly more resistant to studied antibiotics (P0.05) compared to Aa. However, both groups had similar resistance to amoxicillin and tetracycline, P-values were 0.22 and 0.13 respectively. Conclusion: A large number of peri-implantitis lesions contain Aa and Pg bacteria. Moreover, the majority of Aa samples were sensitive to the applied antibiotics, while almost all Pg specimens were resistant to them.
Analysing lignin and wheat straw pre-treated by novel solvents

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
A Second Chance: Delinquency Prevention among Special Education Students

A qualitative analysis of special education youth who attended school at a recreation center in Brooklyn NY helps provide an understanding of the relationship between alternative high school education and offending. According to Wang and Fredericks (2014), interventions that aim to improve school engagement may promote positive youth development, including reducing involvement in problem behaviors. This study focuses on youth who were at risk for offending due to poor academic performance and previous delinquent involvement. Prior to attending school at this facility, the individuals were previously exposed to an environment that put them at risk for delinquency. This investigation provides support for preventative measures to youth conflict and delinquency by placing them in an environment that promotes pro-social behavior.
DNA Repair Capacity-Related to Genetic Polymorphisms of DNA Repair Genes and Aflatoxin B1-Related Hepatocellular Carcinoma Among Chinese Population

of identified paralogs of the strand-exchange (136). breaks of the formation of the RAD51 nucleoprotein filament, both for homologous recombination and HRR a common polymorphism at codon 241 of XRCC3 gene (Thr to Met) modifies the function of gene increases cancers risk (139-143). from high AFB1-exposure areas of above-mentioned conclusions nucleotide excision repair; OR, odds ratio; 8- oxod G, 8-oxodeoxyguanosine; PARP, poly (ADP-ribose) polymerase; PLC, Primary liver cancer; PNK, polynucleotide kinase; Pol β , DNA polymerase β ; SSB, single-strand break; SSBR, single-strand break repair; XPA, xeroderma pigmentosum A; XPC, xeroderma pigmentosum C; XPD, xeroderma pigmentosum D; XRCC1, x-ray repair cross complementary 1; XRCC3, x-ray repair cross complementary 3; XRCC4, x-ray repair cross complementary 4.
Tool wear evolution and surface formation in milling various wood species

This study presents the results of tool wear and surface roughness of wood processed by plain milling. The tests were done on wood samples of pine and black alder grown in Lithuania in order to clarify time-related tool blunting and the aspects of surface formation. The samples were milled along the fiber in the experimental wood cutting stand at two different cutting and feed speeds. The roughness parameter (Rz) of the processed samples was measured in five sectors along and across the fiber using a contact profilometer. Registered values were analyzed by a Gaussian digital filter and evaluated according to relevant statistics seeking to minimize influence of wood anatomy. The obtained results helped to determine distinctions and variations of surface roughness, which strongly depend on the cutting path, rounding radius of the tool’s cutting edge, cutting, and feed speeds while milling pine and black alder.
High Level Event Detection based on Spatial Occupancy and Interpersonal Relationships DOI: 10.14209/jcis.2015.8

This paper describes a new approach for eventdetection in video sequences. A tracking algorithm for obliquecamera setups is initially used to extract trajectories in a trainingperiod, and a map of spatial occupancy of the scene is built. In thetest stage, Voronoi Diagrams are used to obtain some informationregarding interpersonal relationships, such as distances fromneighbors, formation and classification of groups. A variety ofcomplex events can be detected through a query formulated bythe user, that may combine concurrent or sequential occurrencesof simpler events based on either spatial occupancy or interpersonalrelationships (e.g. group formation in a region with smallspatial occupancy). These queries can be used to detect eventson-the-fly as the video is processed, or applied to stored videodatabases.
A Dynamic Simulation of a Lean and Agile Manufacturing System

The integration of just-in-time and lean principles in agile manufacturing plays an important role in enhancing the operational performance of manufacturing systems. In this paper, we address this issue by (i) building a set of performance criteria for a typical manufacturing system, (ii) developing a system dynamics model for the system, and (iii) performing experimental “what-if” simulation analyses. Using a system dynamics simulation methodology, the impact of the application of lean and just-in-time policies on a traditional inventory-focused manufacturing system is investigated. System dynamics modelling is used to capture the dynamic causal linkages different components of the manufacturing system. Different scenarios are generated in order to investigate the dynamics of the system under uncertain demand. The results of the simulation study reveal that manufacturing systems can benefit from the introduction of lean and just-in-time principles, depending on the extent to which the necessary structural changes are implemented. The paper concludes by providing useful managerial insights for effective implementation of lean, just-in-time and agile manufacturing concepts.
Portfolio Risk Management Using the Lorenz Curve H

is a professor of economics at Ben-Gurion University of the Negev in Beer-Sheva, Israel. shalit@bgu.ac. il T he Lorenz curve was developed in 1905 for the purpose of measuring relative inequality in income distribution. Since then, the curve has been widely used in welfare economics to calculate the share of national income earned by proportions of the population, as ranked by their relative incomes. The application of the Lorenz curve to portfolio risk management is rooted in its ability to measure the distribution and variation of asset returns. In this article, I show how some recent quantitative risk measures can be derived from the Lorenz curve, in order to manage risk and construct efficient portfolios. In risk studies, the analysis is based on the absolute Lorenz curve (hereafter referred to as the Lorenz), which ranks conditional expected returns with respect to the cumulative probabilities of getting these returns. In risk analysis, the Lorenz originated from Shorrocks [1983], who used absolute curves to derive second-degree stochastic dominance (SSD) conditions. Most portfolio theory and risk management results derived from the Lorenz have appeared in the finance literature with respect to Gini’s mean difference (GMD) and the Gini index. Fisher and Lorie [1970] were the first to apply Gini statistics using the standard Lorenz curve to study the variability of single stocks and portfolios. Later, Shalit and Yitzhaki [1984] used the curve to characterize risky assets, apply Gini’s mean difference in finance theory, and derive the mean-Gini CAPM. The Lorenz is also very useful for expressing safety-first risk quantile measures, such as value at risk (VaR) and conditional value at risk (CVaR), that have become very popular in the banking industry. This feature is particularly advantageous when the analyst does not need to specify a particular distribution function. Otherwise, VaR and CVaR measures are quite cumbersome to compute. In this article, I obtain risk measures from the Lorenz by using discrete probabilities, which are commonly available in financial data. The next article section presents the Lorenz and its relation to SSD. The following section discusses the Lorenz and its relation to GMD. Then, I show the link between VaR, CVaR, and the Lorenz. Finally, I present an investment example that shows how to manage portfolio risk with the Lorenz.
The study of multimedia application on Autism students learning

In this paper, we focus our research on the Autism students' learning environment in school. In our research, we presented a new Multimedia Digital Learning Platform. We utilize the e-learning model to design an appropriate Teaching Platform for the Autism students and their teachers. Furtherfore, we also design the Multimedia Application courses to make up with the lack of the CAI teaching softwares. Finally, we would promote the sharing of the Learning Platform toward the external environment and internal teaching resources. We also upgrade the teaching efficiency and open a great chance for the Autism students.
Measurements of Concentration differences between Liquid Mixtures using Digital Holographic Interferometry

We present an alternative method to detect and measure the concentration changes in liquid solutions. The method uses Digital Holographic Interferometry (DHI) and is based on measuring refractive index variations. The first hologram is recorded when a wavefront from light comes across an ordinary cylindrical glass container filled with a liquid solution. The second hologram is recorded after slight changing the liquid’s concentration. Differences in phase obtained from the correlation of the first hologram with the second one provide information about the refractive index variation, which is directly related to the changes in physical properties related to the concentration. The method can be used − with high sensitivity, accuracy, and speed − either to detect adulterations or to measure a slight change of concentration in the order of 0.001 moles which is equivalent to a difference of 0.003 g of sodium chloride in solutions. The method also enables to measure and calculate the phase difference among each pixel of two samples. This makes it possible to generate a global measurement of the phase difference of the entire sensed region.
Research on the Checkpoint Server Selection Strategy Based on the Mobile Prediction in Autonomous Vehicular Cloud

With the continuous development of wireless communication technology and the improvement in the performance of the vehicular device, the concept of Autonomous Vehicular Cloud (AVC) has emerged. Vehicular Cloud can provide abundant resources and services, but the high mobility of highway vehicle nodes leads to the network communication time is short, therefore allocated resources lost easily. This paper will focus on solving the problem of the low efficiency of the resource aggregation and distribution of the vehicle nodes in the highway scene. Based on the particularity of the Vehicular cloud in the highway, this paper introduces the checkpoint server selection mechanism which is based on mobility prediction and proposes two checkpoint server selection schemes, one is the choice of relative task initiating node stability of the vehicle node, the other is the choice of relative task executing node stability of the vehicle node. This paper uses OPNET Network simulation tool to evaluate the two schemes mentioned above based on various scenarios of different node density. Finally, the empirical conclusion is that the selected checkpoint based on mobility prediction methods is more stable, can improve the efficiency of resource aggregation and allocation, and vehicle node is more sparse, the enhanced effect is more obvious.
Habitat use and gas bubble disease in southern cavefish (Typhlichthys subterraneus)

In situ observations of habitat use by southern cavefish (Typhlichthys subterraneus) in a Missouri, U.S.A.spring suggest that groundwater discharge and that zones of substrate which have large interstitial spaces that fish can enter may be important components of the species' habitat. Such substrates may also facilitate smallscale dispersal. In addition, we document the first recorded case of gas bubble disease in a laboratory-held speciem of this species. Cavefish may be particularly susceptible to this malady, and the conditions under which it occurred are important to avoid should captive maintenance or propagation of this or related species be attempted.