Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Newcastle upon Tyne Computing Science a High-level Petri Net Framework for Multi-valued Genetic Regulatory Networks a High-level Petri Net Framework for Multi-valued Genetic Regulatory Networks Bibliographical Details a High-level Petri Net Framework for Multi-valued Genetic Regulatory

To understand the function of genetic regulatory networks in the development of cellular systems, we must not only realise the individual network entities, but also the manner by which they interact. Multi-valued networks are a promising qualitative approach for modelling such genetic regulatory networks, providing an interesting compromise between the simplicity of Boolean models and more detailed quantitative models. However, at present multi-valued networks lack the formal analysis techniques and tools required to comprehensively investigate a genetic regulatory model. This is compounded by the fact that little appears to be known about the relationship between multi-valued models and their more abstract Boolean counterparts. We present a flexible formal framework for modelling and analysing multi-valued genetic regulatory networks using high-level Petri nets. We propose an approach for translating a multi-valued model in to a corresponding compact high-level Petri net model using logic minimization techniques and consider coping with the problem of incomplete data that often occurs in practice. We demonstrate our approach with a detailed case study in which part of the genetic regulatory network responsible for the carbon starvation stress response in Escherichia coli is modelled and analysed. We then compare and contrast this multi-valued model to a corresponding Boolean model and present an initial investigation into the formal relationship between these two modelling approaches. Abstract To understand the function of genetic regulatory networks in the development of cellular systems, we must not only realise the individual network entities, but also the manner by which they interact. Multi-valued networks are a promising qualitative approach for modelling such genetic regulatory networks, providing an interesting compromise between the simplicity of Boolean models and more detailed quantitative models. However, at present multi-valued networks lack the formal analysis techniques and tools required to comprehensively investigate a genetic regulatory model. This is compounded by the fact that little appears to be known about the relationship between multi-valued models and their more abstract Boolean counterparts. We present a flexible formal framework for modelling and analysing multi-valued genetic regulatory networks using high-level Petri nets. We propose an approach for translating a multi-valued model in to a corresponding compact high-level Petri net model using logic minimization techniques and consider coping with the problem of incomplete data that often occurs in practice. We demonstrate our approach with a detailed case study in which part of the genetic regulatory network responsible for the carbon starvation stress response in Escherichia coli …
Knowledge Management Components and Their Impact on Work Engagement of Employees

Abstract In light of globalization and modern business, companies are typically exposed to challenges caused by unpredictable and complex competitive environments. The business environment, with global trends and stringent competition in the world market, now faces significant changes that companies should introduce into their current business operations. Among them, the human resource management of knowledge employees has become extremely important. The main aim of this article is to establish the impact of components of knowledge management on work engagement of employees in Slovenian companies. In the empirical part of the research, a sample of 112 Slovenian companies was obtained. Senior managers of companies and their employees were surveyed, using the questionnaire developed based on existing measurement scales. The results will help us to better understand the importance of knowledge management in Slovenian companies and its importance as a business strategy that must be fully integrated within all of the employees’ related processes of the company.
Effect of Pore Size and Film Thickness on Gold-Coated Nanoporous Anodic Aluminum Oxide Substrates for Surface-Enhanced Raman Scattering Sensor

A sensitive surface enhanced Raman scattering chemical sensor is demonstrated by using inexpensive gold-coated nanoporous anodic aluminum oxide substrates. To optimize the performance of the substrates for sensing by the Surface-enhanced Raman scattering (SERS) technique, the size of the nanopores is varied from 18 nm to 150 nm and the gold film thickness is varied from 30 nm to 120 nm. The sensitivity of gold-coated nanoporous surface enhanced Raman scattering sensor is characterized by detecting low concentrations of Rhodamine 6G laser dye molecules. The morphology of the SERS substrates is characterized by atomic force microscopy. Optical properties of the nanoporous SERS substrates including transmittance, reflectance, and absorbance are also investigated. Relative signal enhancement is plotted for a range of substrate parameters and a detection limit of 10−6 M is established.
Importance of Measuring the Time Course of Flow-Mediated Dilatation in Humans

Flow-mediated dialation (FMD) is widely used to describe conduit artery endothelial function. The traditional approaches to FMD calculation assess diameter change at arbitrary time points after occluding cuff deflation. The aim of this study was to examine the time course of brachial artery FMD after a 5-minute period of forearm ischemia in 12 young, 12 fitness matched older and 12 older untrained subjects. Edge-detection and wall tracking of high resolution B-mode arterial ultrasound images, combined with synchronized Doppler waveform envelope analysis, were used to calculate brachial artery diameter, blood flow, and shear rate continuously across the cardiac cycle after forearm ischemia. FMD was significantly higher in young healthy subjects (7.8±3.2%) compared with sedentary older subjects (5.2±2.8%, P<0.05) but not trained older subjects (6.4±2.3%). Time to peak diameter differed between young (50±11 seconds) and both older groups (trained; 80±21, P<0.001; sedentary: 83±36 seconds, P<0.001). A large proportion (>42%) of true peak diameters fell outside the time frames typically used to assess FMD in the literature. When calculated according to the commonly used approach, ie, 60 secs after cuff deflation, FMD was significantly lower compared with true peak FMD in all groups (P<0.001), and no differences were evident between the groups. The time course of FMD differs significantly between young and older subjects. Studies assuming that peak dilation occurs at an arbitrary time point, or within limited time windows, may draw misleading conclusions regarding differences between groups. More sophisticated approaches to measurement of FMD are required if it is to be considered a valid biomarker of vascular disease.
Eye-Gaze Tracking Research Based on Image Processing

This paper presents an eye-gaze tracking system based on the image processing. All the computations are performed in software and the system just needs a PC camera attached to the user's computer. We first extract the facial regions form the images using the skin-color model and connected-component analysis. Then the eye regions are detected by employing the rules and area segmentation. After the detection of eye movements, the tracking is performed using the mean-shift algorithms. The experimental results verify the feasibility and validity of the proposed eye-gaze tracking system, while there is still room for the improvement to be made.
An Improved In-building Localization and Tracking Strategy for Wireless ECG Care System

The in-building localization schemes that demand less device constraints, low cost and low energy consume, have became the main direction of the localization in wireless sensor ECG system. Considered of practical application in wireless ECG care system, this paper adopts RADAR as localization method of wireless ECG system, introduces an improved in-building localization and tracking strategy to improve RADAR of adjusting to the effluence of environment factors. Finally, implement the algorithm in WSN research platform, which is proved effectively. Keywords-localization; tracking; RADAR; ECG care system
Managing Complex Technology Projects

OVERVIEW: A survey of United Kingdom-based industrial companies has identified the development of systems architectures and the use of a robust approach to integrated systems design as important contributors to the successful delivery of today's complex technology and engineering projects. A new conceptual framework, called the four-frames systems view, has been developed as a tool for the management of such projects. This innovative framework brings together different systems-related methodologies and tools in order to reduce risk in project design, implementation and management. The framework is based on a view that different systems methodologies are needed in order to accommodate different levels of complexity. The development of a UAV (unmanned aerial vehicle) system for the civil sector is an initial application of the framework.
Automatic Landmark Selection for Navigation with Panoramic

The use of visual landmarks for robot navigation is a promising eld. It is apparent that the success of navigating by visual landmarks depends on the landmarks chosen. This paper reviews a monocular camera system proposed by Bianco and Zelinsky, 1999] which automatically selects landmarks and uses them for lo-calisation and navigation tasks. The monocular system's landmark selection policy results in a limited area in which the robot can successfully localise itself. A new landmark navigation system which uses a panoramic vision system to overcome this restriction is proposed and the rst steps taken in the development of the new system are reported.
TRAJECTORY TRACKING CONTROL OF NONHOLONOMIC WHEELED MOBILE ROBOTS WITH SLIPPING ON CURVILINEAR COORDINATES : A SINGULAR PERTURBATION APPROACH

This paper considers the trajectory tracking control of a wheeled mobile robot (WMR) with slipping in the wheels, i.e., when the kinematic constraints are not satisfied. The proposed controller guarantees that the tracking error converges to small ball of the origin such that the radius of this ball can be adjusted by selecting appropriate parameters. To this end, the controller is designed in two parts: the kinematic controller based in curvilinear coordinates and the dynamic controller based in a nonlinear state feedback. The dynamic model of the WMR considered in this paper is the given in formalism with the aid of the singular perturbations theory. The singular perturbations theory allows to manipulate the flexibility through of a small factor in the dynamic model (normally, known as ε) at the same time that scales the dissatisfaction of the kinematics constraints. Thus, we will observe the behavior of the tracking resultant when the controller is applied to such model. Keywords— Nonholonomic wheeled mobile robot, slipping, curvilinear coordinates, trajectory tracking control, singular perturbations. Resumo— Este artigo aborda o problema de controle de seguimento de trajetória de um robô móvel (RMR) com deslizamento nas rodas, ou seja, com insatisfação das restrições cinemáticas. O controlador proposto garante com que o erro de seguimento convirja a uma vizinhança da origem representada por uma bola cujo raio pode ser ajustado pela escolha de parâmetros apropriados. Para tal fim, o controlador é projetado em duas partes: o controlador cinemático baseado em coordenadas curviĺıneas e o controlador dinâmico baseado em uma realimentação não-linear de estados. O modelo dinâmico do RMR considerado neste artigo é formalizado pelo uso da teoria de perturbações singulares. A teoria de perturbações singulares não só permite manipular a flexibilidade dentro do modelo dinâmico através de um pequeno fator (usualmente conhecido como ε), mas também pondera a insatisfação das restrições cinemáticas. Dessa forma, neste artigo será observado o comportamento do controlador de seguimento de trajetória proposto quando este seja aplicado no modelo dinâmico. Palavras-chave— Robô móvel não-holonômico, deslizamento, coordenadas curviĺıneas, controle de seguimento de trajetória, perturbações singulares.
User-driven Call Admission Control for VoIP over WLAN with a Neural Network based cognitive engine

In this paper we deal with the problem of user-driven Call Admission Control for Voice over IP communications in a Wireless LAN environment. We argue that state-of-the-art solutions to this problem are suboptimal, since they leverage on analytical models whose assumptions are not necessarily verified in the scenario considered. To overcome this problem, we propose a cognitive solution based on Multilayer Feed-forward Neural Networks. According to our solution, the mobile station learns from past experience how application-layer service quality depends on the wireless link conditions. Our performance evaluation, carried out both by simulation and testbed experiments, shows that this solution effectively outperforms state-of-the-art strategies in performing a correct admission decision.
Absolute Quantitation of DNA Methylation of 28 Candidate Genes in Prostate Cancer Using Pyrosequencing

Aberrant DNA methylation plays a pivotal role in carcinogenesis and its mapping is likely to provide biomarkers for improved diagnostic and risk assessment in prostate cancer (PCa). We quantified and compared absolute methylation levels among 28 candidate genes in 48 PCa and 29 benign prostate hyperplasia (BPH) samples using the pyrosequencing (PSQ) method to identify genes with diagnostic and prognostic potential. RARB, HIN1, BCL2, GSTP1, CCND2, EGFR5, APC, RASSF1A, MDR1, NKX2-5, CDH13, DPYS, PTGS2, EDNRB, MAL, PDLIM4, HLAa, ESR1 and TIG1 were highly methylated in PCa compared to BPH (p < 0.001), while SERPINB5, CDH1, TWIST1, DAPK1, THRB, MCAM, SLIT2, CDKN2a and SFN were not. RARB methylation above 21% completely distinguished PCa from BPH. Separation based on methylation level of SFN, SLIT2 and SERPINB5 distinguished low and high Gleason score cancers, e.g. SFN and SERPINB5 together correctly classified 81% and 77% of high and low Gleason score cancers respectively. Several genes including CDH1 previously reported as methylation markers in PCa were not confirmed in our study. Increasing age was positively associated with gene methylation (p < 0.0001). Accurate quantitative measurement of gene methylation in PCa appears promising and further validation of genes like RARB, HIN1, BCL2, APC and GSTP1 is warranted for diagnostic potential and SFN, SLIT2 and SERPINB5 for prognostic potential.
Used product remanufacturing information gathering system based on multi-agent

Remanufacturing represents a higher form of reuse by focusing on value-added recovery, rather than materials recovery. However, the management of remanufacturing information can differ greatly from traditional manufacturing. The information of used products are more complex for remanufacturing due to uncertainties from stochastic product returns, imbalances in return and demand rates, and the unknown condition of returned products. The technology of multi-agent is a good method of human interaction with machine; it can gather complex information. According to the analysis of the information that impacts on remanufacturing, an information gathering system model of remanufacturing products based on multi-agent system was present in this paper.
GRAPHICAL USER INTERFACES ON THE TRANSISTION BETWEEN INFORMATION SYSTEMS AND INTERACTION SYSTEMS

This paper examines the various conceptual models that are used for cartographic information systems and which we are now adapting for cartographic interaction systems. In the last decade, cartographers have been busy re-inventing the cartographic sciences within the context of electronic media. What began as cartographic information systems billing themselves as interactive, has grown into truly interactive cartographic systems. As the systems change, the designers conceptual model of the user interface, as well as the metaphorics used in the model, must also change in order to keep up with the increase in interactivity. In the past, an advanced conceptual model of a cartographic information systems user interface would include concepts limited to spatial navigation (i.e., zooming, panning, etc.), some thematic navigation (i.e., control of data layers, selection of pre-configured data, etc.) and very little else. Thus, conceptual models used in designing cartographic information systems have weaknesses and limitations that must be addressed when designing cartographic interaction systems. The evolution of conceptual models is demonstrated during the GUI design process of the STATLAS (Statistical Atlas of the European Union) project. STATLAS is a multi-institution, multidiscipline project funded by the European Union in order to create a multimedia statistical atlas of the EU member states. The STATLAS project offers a unique opportunity to study the transition between information systems and interaction systems because the GUI itself contains a view appearance, for those users only wishing to obtain information from the system, and a creation appearance, for those users wishing to access the full range of STATLAS interactive functionality (e.g., cartographic, GIS, and statistical functions). With the diversity of uses of STATLAS (being analysed), a detailed conceptual model was developed that guided the development of the user interface.
A Unified 3 D Mesh Segmentation Framework Based on Markov Random Field

3D Mesh segmentation has become an important research field in computer graphics during the past decades. Many geometry based and semantic oriented approaches for 3D mesh segmentation has been presented. In this paper, we present a definition of mesh segmentation according to labeling problem. Inspired by the Markov Random Field (MRF) based image segmentation, we propose a new framework of 3D mesh segmentation based on MRF and use graph cuts to solve it. Any features of 3D mesh can be integrated into the segmentation framework. Experimental results show that the noise and over-segmentation are avoided. It also demonstrates that the proposed scheme has the capability of combining the geometric and topology information of the 3D mesh.
Increased Mammogram-Induced DNA Damage in Mammary Epithelial Cells Aged In Vitro

Concerned about the risks of mammography screening in the adult population, we analyzed the ability of human mammary epithelial cells to cope with mammogram-induced DNA damage. Our study shows that an X-ray dose of 20 mGy, which is the standard dose received by the breast surface per two-view mammogram X-ray exploration, induces increased frequencies of DNA double-strand breaks to in vitro aged–but not to young–human mammary epithelial cells. We provide evidence that aged epithelial breast cells are more radiosensitive than younger ones. Our studies point to an inefficient damage response of aged cells to low-dose radiation, this being due to both delayed and incomplete mobilization of repair proteins to DNA strand breaks. This inefficient damage response is translated into an important delay in double-strand break disappearance and consequent accumulation of unrepaired DNA breaks. The result of this is a significant increase in micronuclei frequency in the in vitro aged mammary epithelial cells exposed to doses equivalent to a single mammogram X-ray exploration. Since our experiments were carried out in primary epithelial cell cultures in which cells age at the same time as they undergo replication-dependent telomere shortening, we needed to determine the contribution of these two factors to their phenotype. In this paper, we report that the exogenous expression of human telomerase retrotranscriptase in late population doubling epithelial cells does not rescue its delayed repair phenotype. Therefore, retarded DNA break repair is a direct consequence of cellular aging itself, rather than a consequence of the presence of dysfunctional telomeres. Our findings of long-lasting double strand breaks and incomplete DNA break repair in the in vitro aged epithelial cells are in line with the increased carcinogenic risks of radiation exposures at older ages revealed by epidemiologic studies.
Relationship between Cognitive Function and Employment in Japanese Schizophrenia Patients

The purpose of the present study was to examine the relationship between cognitive function and employment in Japanese schizophrenia patients. Subjects were 61 outpatients. Cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia. Clinical symptoms were also evaluated with the Positive and Negative Syndrome Scale and the Calgary Depression Scale for Schizophrenia. Verbal memory (F(1, 58) = 5.50, p = 0.02) and attention and speed of information processing scores (F(1, 58) = 4.92, p = 0.03) showed significant differences between employment and unemployment groups. Logistic regression analysis showed that employment was significantly predicted by verbal memory (x2 = 16.09, df = 2, p = 0.01) and depression scores (x2 = 16.09, df = 2, p = 0.02). The results suggest that improving verbal memory and depression may lead to employment in Japanese schizophrenia patients.
VMM-based System Security Assurance

As the Internet been widely accepted and used, more and more critical personal information are stored on computers, security became the most significant concerns for people surfing on the Internet. Software vulnerabilities are common in computer platforms and the software flaws are often exploited to gain controls of a computer. Attacks on computers can be limited by firewall and anti-virus software. However, there is increasing ineffectiveness of these traditional malicious code detection technologies to detect and block new attacks, such as rootkits, keyboard sniffers
Two novel sites of expression of NADPH cytochrome P450 reductase during murine embryogenesis: Limb mesenchyme and developing olfactory neuroepithelia

While all cells in eukaryotic organisms probably express the gene encoding NADPH cytochrome P450 reductase, we identified two novel sites which have the highest local concentrations of P450 reductase transcripts during murine embryogenesis. One site is in developing limbs, including lateral limb bud mesenchyme and condensing mesenchyme in the footplate which will form precartilage. A second site is in primitive neuroepithelia, including future olfactory epithelia and olfactory lobes of the brain. These high, local concentrations of P450 reductase transcripts revealed by in situ hybridization were transient and most prominent between embryonic (E) days 12.5–15.5. They cannot be explained by the known functions for P450 reductase. The precursor nature of the highest reductase‐expressing cells suggests that differentiation‐specific mechanisms regulate P450 reductase gene transcription during organogenesis. The data suggest this multifunctional protein might serve an important role in the formation of precartilage models from condensing limb mesenchyme and in the early development of joints that will form at apposed surfaces of these models. Dev Dyn 1999;216:511–517. ©1999 Wiley‐Liss, Inc.
Nonlinear Diffusion of Normals for Stable Detection of Ridges and Ravines on Range Images and Polygonal Models

The main contribution of this work consists of developing a new surface smoothing method. The method preserves sharp variation points of the surface normals and is good for stable extraction of perceptually salient ridges and ravines. The method is based on a discrete nonlinear diffusion process (iterative nonlinear averaging) applied to the surface normals. We demonstrate applicability of the method to analysis and segmentation of range images (height fields) and polygonal surfaces.