Miracle-dz/UniFAR-FTUs huggingface dataset:
Technology Assisted Analysis of Timeline and Connections in Digital Forensic Investigations

This article describes ongoing research on the application of AI techniques such as Graph Neural Networks to assist investigators with the discovery of relations and patterns in digital forensic evidence. Digital forensic analysis of smartphones and computers reveals forensic artifacts that are extracted from structured databases maintained by the operating system and applications. Such forensic artifacts are part of a forensic ontology which can be used to build a relational graph of identifiers (e.g. users, documents) and a timeline of events. This information can assist with answering key investigation questions such as who, when, where etc. We propose to use a graph database and query language to assist in this analysis. Further, using key identifiers and aliases we want to augment digital forensic artifacts with entities, relations and events by extraction from the full-text of unstructured electronic contents such as emails and documents.
The effect of audit market structure on audit quality and audit pricing in the private‐client market

This study examines whether audit market structure affects audit quality and audit pricing. We analyze two conceptually distinct dimensions of market structure, being audit market concentration and client mobility. Focusing on the private-client segment of the Belgian audit market, we compare the pricing and quality effects of market structure between the segment of small- and medium-sized (SME) clients and the segment of large clients to test how audit complexity moderates such effects. We find that market concentration impairs price and quality competition in the SME-client segment. Market concentration is unrelated to audit quality in the large-client segment, where we argue that concentration is endogenous to audit complexity. Furthermore, we find that client mobility stimulates price competition in both segments but improves audit quality only in the large-client segment. We interpret our findings as evidence that (a) audit market concentration impairs competition especially when audits have low complexity and that (b) the large-client market segment, characterized by higher audit complexity and higher market concentration, can also be price and quality competitive if clients are sufficiently mobile, and change auditors relatively frequently.
Productivity Report

T he productivity of workers in the nonfat-m business sector of the U.S. economy rose by just half a percent in 1994, marking the second year in a row that productivity grew by less than 1 percent. Labor productivity data at the industry level reflect this trend by recording no change from the previous year in the proportion of measured industries registering productivity growth. In 1994, as in 1993,70 percent of the industries for which data were available recorded labor productivity gains in their production processes. The underlying trends in output and hours between the 2 years were somewhat different, however. The proportion of measured industries showing growing output and employee hours increased between 1993 and 1994. Output grew in 79 percent of the measured industries in 1994, up from 72 percent in the previous year, while hours rose in 62 percent of them, up from 53 percent in 1993. This report summarizes these and other findings from a recent BLS update of industry and government productivity statistics. The updated measures are published to the most recent year allowed by the availability of current data which, in most cases, is 1994. The productivity statistics in this report compare output (the production of goods and services) to one or more inputs of production (such as labor hours). ’ The first section examines labor productivity in selected industries of the private sector. For these industries, labor productivity is calculated as the ratio of output to employee hours2 In the second section, the report examines
Toward Tool Use in Species: The emergence of tool use in different worlds

In this bachelor thesis I describe my investigations of the use of tools in animal species in the simulation environment Framsticks. The choice for Framsticks is described in detail and experiences with the simulator are documented in this thesis. By conducting several simulations, I investigate if it is possible to find out in what kind of environments tool use evolves. The difference between the worlds in the experiments is the different amounts of food present. The results show that only in a world with very little food, tool use emerges. The choice for Framsticks is described in detail and experiences with the simulator are documented in this thesis.
MODELING AND SIMULATION OF MATRIX CONVERTER FOR WIND POWER GENERATION F. MASOOD, *T. MAHMOOD and M.A. CHOUDHRY

In this paper, a matrix converter structure is proposed which is suitable for wind power generation applications. The matrix converter (MC) is the most general converter type in the family of AC-AC converters. It is a single-stage converter which has an array of m×n bidirectional power switches to connect, directly, an m-phase voltage source to an n-phase load. It does not have any DC-link circuit and does not need any large energy storage elements. The key element in a matrix converter is the fully controlled four-quadrant bidirectional switch, which allows high-frequency operation. The proposed converter uses MOSFETs as bidirectional switches. The model has been implemented using MATLAB/SIMULINK. The results obtained are presented. The waveforms for input current and output voltage are sinusoidal with very low total harmonic distortion (THD). Low THD is an indication that the model is suitable for wind power generation applications. The simulation results confirm the reduction of conversion losses by 10% to 12% as compared to conventional two stage converters thereby increasing the overall conversion efficiency. The MOSFETs which have been used as switching devices have four to five times more switching frequency as compared to IGBTs thus improving the resulting wave shapes.
An analysis of food security in selected ASEAN countries

This study examined the annual food security situation and its determinants in selected ASEAN countries for the period of 1967 to 2009. The data analysis techniques involved both descriptive and econometric analyses, where ordinary least square procedure of regression was used in the econometric analysis. The results of the study revealed that the selected ASEAN countries were food secure, although, the long run sustainability of food security remains to be an issue. This was based on per capita food availability and dietary energy supply as well as dietary energy requirement. The determinants of food security were analysed in the empirical analysis. Total food production, per capita income and access women status were significant factors in explaining the level of food security in the long term in the selected four ASEAN countries. The regression model showed that 1% increase in total food production would result in increase food security by 0.036%, whereas each 1% increase in per capita income increases the food security by 0.027%. Similarly, access women status has positive relationship with food security, 1% increase in access women status would result in increase food security by 0.397%. *Economic and Technology Management Research Centre, MARDI Headquarters, Serdang, P.O. Box 12301, 50774 Kuala Lumpur E-mail: khairulhafifi@mardi.gov. my ©Malaysia Agricultural Research and Development Institute 2014 every individual has the capability to access enough food and utilises it in a correct way (Bello 2004), while FAO (2003) described food security as a situation where the population has, at any time, social, economic and physical access to an adequate quantity along with quality of food to meet up every day requirements and food preferences. The availability of food varies over time (season) and space (geographic location). Food availability can be abundant in some areas and critically scarce in some other areas during certain season. According to Barrett (2002), sufficient food supplies at the national level or global production and stocks do not promise for the household food security as this might be due to inefficient in distribution of resources Introduction There has been a long-standing interest in understanding the relationship between booming in demand side and constraints in supply side and its relation with food insecurity. Since industrial revolution, large part of national investments have been made in industrial sectors, whereas proportion of investment in agricultural production decrease significantly. Besides that the increasing per capita income, population growth, bio fuel production, climatic change and depleting resources are among prominent reasons for food insecurity. These issues have caused more concern about food security. Food security could be defined as sufficient food availability per capita and
Food Recognition using Ingredient-Level Features

Food recognition is a difficult problem, because unlike objects like cars, faces, or pedestrians, food is deformable and exhibits high intra-class variation. This paper considers the approach of analyzing a food item at the pixellevel by classifying each pixel as a certain ingredient, and then using statistics and spatial relationships between those pixel ingredient labels as features in an SVM classifier. We experimented with multiple variations on past methods, and found that using pixel ingredient labels to identify food greatly increases classification accuracy, but at the expense of higher computational cost.
Comparison of “black box” and “gray box” methods for lost data reconstruction in multichannel signals

Introduction. Multichannel biomedical data is frequently used in research and clinical practice: in sleep studies, surgery, rehabilitation, sports medicine. The probability of a transient corruption or loss of one of the channels in a multichannel record is increased. Missing or corrupted signals can occur among others due to a human or machine error, a sensor malfunction, moving artifacts, or an external noise [3]. This problem of lost data is also common in real time wireless data transfer because of lost data packets. The problem of lost data in multichannel biomedical data streams was addressed in a recent challenge organized by PhysioNet/Computing in Cardiology 2010: Mind the Gap [1]. In this work, we propose and compare two methods for reconstruction of a lost data channel in multichannel biomedical record. Data. The set A of multichannel signals from the challenge [1] was used to compare the methods. In each ten-minute record, the final 30 s of one random signal was “lost” (deleted) (Fig. 1). The lost (target) signal is known, and provided with the data set A. The signal types for reconstruction are: 44 electrocardiograms (ECG), 15 fingertip plethysmograms (PLETH), 9 arterial blood pressure (ABP), 21 respiration (RESP) and 11 central venous pressure (CVP) signals.
Reducing Downtime of Repairing for Taper Roller Bearing by Magnetic Abrasive Finishing ( MAF ) Process

Abstract—Bearings are one of the most important and critical component in the wide variety of machines. Most of the bearings are failed before completing their theoretical life due to the wear, corrosion, contamination, fatigue etc. The cost and time involved in repairing the bearings is very high. In the present work, Magnetic abrasive finishing (MAF) process is developed to reduce the turnaround time of repairing the taper roller bearing. The finishing time varies according to the level of damage of the bearing surface. The surface of the bearing has complex configuration (curved and conical) thus MAF is best suited due to the self-adaptability of the flexible magnetic abrasive brush (FMAB). Permanent magnets are used to hold the FMAB. The experiments performed using the magnetic abrasive powder (MAP) consisting of abrasives (boron carbide (B4C) and diamond), iron powder, de-ionized water and glycerin in appropriate composition. The aim of the present study is to evaluate the impact of vol. % of diamond abrasives, number of magnets and strength of magnets in nano-finishing of taper roller bearings. The experiments were designed as two level full factorial. The basic principle of material removal is three body abrasive wear. It was found that addition of diamond abrasives in the MAP greatly improved not only the finishing rate but % change in surface finish also. The best finish achieved is (Ra=) 36.5 nm from initial (Ra=) 271.5 nm without any surface damage within 24 min. It is concluded that by implementing the present process a highly finished surface of taper roller bearing can be achieved within a short time span depending upon the initial condition of the bearing surface.
Comparative Study of 10 X-STR Markers in Populations of Northeast Argentina

abstract In northeast Argentina, different Amerindian communities share territory and history with settlers, mainly Europeans. Due to miscegenation, the current Argentinean population has a particular structure that can be described through X chromosome variation. The objectives of this study were to describe the variation of 10 X-chromosome short tandem repeats (X-STRs) in urban populations of the Argentinean regions known as Gran Chaco and Mesopotamia, report the forensic parameters of these STRs, and estimate the European and indigenous genetic components in these regions. Population and forensic parameters were estimated for 419 individuals from the analyzed populations, including two indigenous groups, Wichí and Mocoví, previously reported. Population structure was estimated through FST and RST distances and analysis of molecular variance. The indigenous American and European components were assessed with STRUCTURE. X-STRs showed a high level of genetic variability in urban and indigenous populations. Indigenous people of the Gran Chaco region showed significant differentiation from the urban samples (FST = 5.5%) and among themselves (FST = 5.3%). Genetic differentiation among urban groups was almost negligible, except that the population from Misión Nueva Pompeya differed from the rest of the city populations. Forensic parameters indicate that these X-STRs are useful as a complement to paternity tests. The set of 10 STRs could be a good tool for examining population differences.
A random model that relies on maximal bicliques to preserve the overlaps in bipartite networks

Context. Many real-networks, also refered to as complex networks, lend themselves to the use of graphs in order to analyse their structure and model their properties. Since the seminal papers of Barabási and Watts, one usually considers that, whatever the context in which they emerge, all networks share non trivial properties such as a low density, a low average distance, an heterogeneous degree distribution, a high local density, etc. Such properties distinguish those networks from classic random graph models such as the ones generated by the Erdős-Rényi model which only reproduce the density of the networks. As a consequence, significant effort is dedicated to the elaboration of random models able to capture more intricate properties. Among them, one can cite the Barabási-Albert model which succeeds in producing a heterogeneous (scale-free) degree distribution but fail in generating graphs with a high local density, the Watts and Strogatz model which generates networks with the opposite features or the Configuration Model [3] which generate random graphs with a prescribed degree sequence but with a low local density. All in all, and despite the different attempts, generating a graph exhibiting all expected properties is still an open issue. The purpose of this study is to present a new step toward that goal by exploiting the bipartite version of the configuration model. Indeed, although useful, the representation of networks as unipartite graphs does not account for the inherent complexity induced by the hierachical structure observed in most real networks. This observation led the scientific community to turn to bipartite graphs to describe such complex structure when possible. This formalism allows to define explicitly two disjoint sets of nodes and the links only relate a node of one set to a node of the other set. The natural extension of the configuration model to bipartite graphs allows to preserve the degree of every nodes while shuffling the links, as depicted below:
19th World Congress of Soil Science Symposium 1.3.2 Geochronolgical techniques and soil formation

The atmospherically-derived cosmogenic (Be), anthropogenic (Cs), and airborne radionuclides (Pbxs) were used to investigate the origin and travel time of the mobile soil particles discharged from the tile drain in a heavy clay soil. These radionuclides were accumulated mainly in the surface layer of the soil profile; nevertheless, they were detected with high activities in all the mobile soil particle samples collected from the tile drainage water in a rainfall event. This indicates that the major origin of the mobile soil particles discharged from the tile drain is the mobile soil particles in the uppermost surface soil. The average travel time of the mobile soil particles moving from the uppermost surface soil to the tile drain is estimated as about 35 d based on the difference in the activity ratio (Be/Pbxs) of the mobile soil particles between in the surface runoff and in the tile drainage waters.
PII: S0006-3207(98)00002-0

There have been many attempts to classify geographic areas into zones of similar characteristics. Recent focus has been on ecoregions. We examined how well the boundaries of the most commonly used ecoregion classi®cations for the US matched the boundaries of existing vegetation cover mapped at three levels of classi®cation, ®ne, midand coarse scale. We analyzed ecoregions in Idaho, Oregon and Washington. The results were similar among the two ecoregion classi®cations. For both ecoregion delineations and all three vegetation classi®cations, the patterns of existing vegetation did not correspond well with the patterns of ecoregions. Most vegetation types had a small proportion of their total area in a given ecoregion. There was also no dominance by one or more vegetation types in any ecoregion and contrary to our hypothesis, the level of congruence of vegetation patterns with ecoregion boundaries decreased as the level of classi®cation became more general. The implications of these ®ndings on the use of ecoregions as a planning tool and in the development of land conservation eorts are discussed. Published by Elsevier Science Ltd.
A Destination Prediction Method Based on Behavioral Pattern Analysis of Nonperiodic Position Logs

This paper describes a method to identify the behavioral patterns of users from nonperiodic position logs recorded by GPS phones and to predict the users‟ destinations by using these patterns. Besides having high accuracy, this method reduces the battery consumption of GPS devices and alleviates privacy concerns. To create a user's behavioral pattern, the method plots position logs in latitude-longitude-time space in 24 hour segments. Next, it uses the plotted data to classify the locations the user has frequently spent time or has moved through. Then, it predicts the current destination from the current location by using pre-calculated reference data made for each path location by extracting the next destination from the position logs. In an experimental evaluation, we identified users‟ behavioral patterns from position logs covering a period of one year. We then evaluated the prediction method by using one week‟s worth of logs. The results show that the prediction accuracy of our method is more than 66%.
Large-Eddy Simulation of Turbulent Mixed Convection in a Vertical Annulus with a Rotation of the Inner Cylinder

A large-eddy simulation of mixed convection in a vertical annular pipe flow with rotation of the inner cylinder is performed at Re=8900 and Pr=0.71. The objective of the present study is to perform a large-eddy simulation of vertical turbulent annular pipe flow with rotation of the inner cylinder, and to investigate the combined effects of buoyancy and rotation on the turbulent structures. The incompressible filtered Navier-Stokes equations are solved using a second order accurate finite difference method. Isoflux wall boundary conditions with low and high heating (Bo = 0.18 and 0.5) are imposed. Two rotation rates (N = 0.1716 and 0.2574) are used and the radius ratio (R) is 0.5. Many turbulent statistics are obtained to analyze the near-wall turbulent structures. The results show that the strong heating with a stationary inner wall causes distortions of the flow structure resulting in reduction of turbulent intensities, shear stress, and turbulent heat flux, particularly near the wall. In contrast, a substantial reduction in turbulent statistics is suppressed in the presence of inner wall rotation.
‘‘My Lung Disease Won’t Go Away, it’s There to Stay’’: Profiles of Adaptation to Functional Limitations in Workers with Asthma and COPD

Purpose Earlier research has shown that adap­ tation (i.e., the way in which employees cope with limi­ tations resulting from their disease) is associated with sick leave. Our aim was to investigate signs of adequate or inadequate adaptation in employees with asthma and COPD. Methods A Q-methodological study was carried out among 34 workers with asthma or COPD. Results Four adaptation profiles were distinguished: the eager, the adjusted, the cautious, and the worried workers. The adaptation profiles provide insight into the different ways in which workers with asthma and COPD cope with their illness at work. Conclusions The adaptation profiles serve as a starting point for the design of appropriate (occupa­ tional) care. The eager workers experience little difficulties at work; the cautious workers may need assistance in learning how to accept their disease; the worried workers need reassurance, and may need reactivation; the adjusted C. R. L. Boot • J. W. J. van der Gulden Department of Primary Care and Public Health Nijmegen, Radboud University Medical Centre Nijmegen, Nijmegen, The Netherlands J. W. J. van der Gulden e-mail: j.vandergulden@elg.umcn. nl C. R. L. Boot (& ) Department of Public and Occupational Health, VU University Medical Center, EMGO Institute for Health and Care Research, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands e-mail: crl.boot@vumc.nl N. J. A. van Exel Department of Health Policy and Management, Erasmus Medical Centre, Rotterdam, The Netherlands e-mail: n.vanexel@erasmusmc.nl workers deserve extra attention, and, when necessary, advice on how to live with their asthma or COPD.
To Predict the Yearly Demand Quantity of Inbound Visitors to Taiwan:Application of GM (1, 1), MGM (1, 1)and DGM (1, 1)

The tourism industry has become one of the most important economic indicators for every country in the world.With the tourism market having the potential for development and the possibility of producing huge outputs, it is with the utmost urgency that we should integrate specific natural and cultural tourism resources that create commensurate tourism attractiveness.Due to the perishable nature of the tourism product that createshi-and-lo seasons and seasonal frenzies for travel, effective forecasts and accurate assessments of the number of tourists are two of the research topics to which we must pay attention. Therefore, the main purpose of this study is to apply effective forecasting methodology to predict the yearlydemand quantity of inbound visitors to Taiwan and applies the GM (1, 1),MGM(1, 1)and DGM(1, 1) as the prediction models. After formulating ideal forecast models to estimate the number of inbound tourists, it will then be compared to annual visitors to Taiwan for accuracy and error value comparison. The finding shows that the combination of GM (1, 1),MGM(1, 1)and DGM(1, 1)can obtain excellent forecasting results which have important managerial implications that can provide policy or strategic references for increasing Gross Domestic Product (GDP) and private organizations' revenue for sightseeing respectively.