Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive workflow management—an integrated approach and system architecture

In this paper, we present an integrated approach and a three-tier System Architecture for Adaptive Workflow Management. An important feature of this Architecture, is the inclusion of a Planning component, not seen so far in most Workflow systems, which helps to integrate Planning and Adaptive Workflow Management. Another important feature of this Architecture, is that it has been developed primarily by synthesizing existing research in the Workflow area. , instead of "reinventing the wheel"; this should render the Architecture easier to implement, since many of its theoretical underpinnings have already been thoroughly investigated by other researchers.
Androgen receptor coregulators and their involvement in the development and progression of prostate cancer

The androgen receptor signaling axis plays an essential role in the development, function and homeostasis of male urogenital structures including the prostate gland although the mechanism by which the AR axis contributes to the initiation, progression and metastatic spread of prostate cancer remains somewhat enigmatic. A number of molecular events have been proposed to act at the level of the AR and associated coregulators to influence the natural history of prostate cancer including deregulated expression, somatic mutation, and post‐translational modification. The purpose of this article is to review the evidence for deregulated expression and function of the AR and associated coactivators and corepressors and how such events might contribute to the progression of prostate cancer by controlling the selection and expression of AR targets. © 2006 Wiley‐Liss, Inc.
Assessment of Gastrointestinal Propulsive Activity Using Three Different Models of Peristalsis In Vivo in the Mouse

The protocols described in this unit are designed to assess the acute effects of drugs on the propulsive activity of the gastrointestinal muscles in the conscious mouse. These protocols are currently applied to investigate the pharmacological activity of novel compounds undergoing preclinical development and to obtain predictive data needed to advance drugs into clinical trials. Moreover, these methods could be useful in evaluating the functional toxicity by environmental or alimentary pollutants, like xenobiotics and naturally occurring toxins endowed with noxious activity in the control of physiologic peristalsis. The three models detailed—the measurement of gastric emptying, ileal transit, and colonic propulsion—are substantially non‐invasive and do not require analgesic pretreatments or the induction of general anesthesia. In contrast to an in vitro approach, these in vivo studies provide a unified understanding of drug effects on gut functionality, in particular when the central nervous system, the extrinsic nerves, or the (neuro)endocrine system is targeted by the test drugs.Curr. Protoc. Toxicol. 46:21.9. 1‐21.9. 20. © 2010 by John Wiley & Sons, Inc.
Design and Prototyping of a Switching Beam Disc Antenna for Wideband Communications

The design procedure for a switching beam antenna for wireless communication systems is given. The antenna can rotate the beam over the whole azimuthal angle exploiting its geometrical and electrical cylindrical symmetry. The required directivity and the beam rotation are provided by a sequential insertion of metallic posts into the radial waveguide that forms the main body of the antenna. The first stage of the design involves setting up the dimensions of an omnidirectional antenna, to which the desired directivity is subsequently provided. After optimization to maximize the impedance bandwidth, the final antenna was prototyped. A comparison between simulated results and experimental data is presented
3D Face Recognition using Log-Gabor Templates

The use of Three Dimensional (3D) data allows new facial recognition algorithms to overcome factors such as pose and illumination variations which have plagued traditional 2D Face Recognition. In this paper a new method for providing insensitivity to expression variation in range images based on Log-Gabor Templates is presented. By decomposing a single image of a subject into 147 observations the reliance of the algorithm upon any particular part of the face is relaxed allowing high accuracy even in the presence of occulusions, distortions and facial expressions. Using the 3D database collected by University of Notre Dame for the Face Recognition Grand Challenge (FRGC), benchmarking results are presented showing superior performance of the proposed method. Comparisons showing the relative strength of the algorithm against two commercial and two academic 3D face recognition algorithms are also presented. algoritms are also presented. 1 Introduction
A review of the psychometric properties of breastfeeding assessment tools.

OBJECTIVE To compare and contrast the clinical usefulness and psychometric properties of existing self-report instruments designed to assess maternal breastfeeding attitudes, experience, satisfaction, and confidence. DATA SOURCES CINAHL, PsycINFO, MEDLINE, PubMed databases from 1990 through 2009, and reference lists from selected articles were included in the search. Only published research articles written in English that provided reliability and validity of the self-report instruments for breastfeeding assessment were reviewed. STUDY SELECTION A total of 301 articles were retrieved according to the initial selection criteria; 24 articles met the final inclusion criteria. DATA EXTRACTION Data extracted from research studies addressing the purpose of the review and demonstrating psychometric properties were presented. DATA SYNTHESIS Seven breastfeeding assessment tools were identified, and each tool demonstrated acceptable reliability and validity. CONCLUSION Seven self-report instruments were found to be valid, reliable, and feasible measures for assessing breastfeeding relationships. But two of the seven self-report instruments were only tested in one study, and only one study used a self-report instrument (the Breastfeeding Attrition Prediction Tool-BAPT) to test the effectiveness of an intervention. It is recommended that researchers consider using the existing self-report instruments in future experimental studies to test the feasibility and effectiveness of breastfeeding interventions. Moreover, it is important to continue to conduct more well designed research to further test and refine these self-report instruments in a variety of diverse populations and ethnic groups and to further examine their psychometric properties. Clinical applications have not been well addressed and need to be considered in the design of these future works. Understanding how to best support the breastfeeding mother must be the long-term outcome of instrument development in this area.
Network formation and knowledge gains

ABSTRACT Incentive-based models for network formation link micro actions to changes in network structure. Sociologists have extended these models on a number of fronts, but there remains a tendency to treat actors as homogenous agents and to disregard social theory. Drawing upon literature on the strategic use of networks for knowledge gains, we specify models exploring the co-evolution of networks and knowledge gains. Our findings suggest that pursuing transitive ties is the most successful strategy, as more reciprocity and cycling result from this pursuit, thus encouraging learning across the network. We also discuss the role of network size, global network structure, and parameter strength in actors’ attainment of knowledge resources.
Influenza vaccination coverage among high-risk groups in 11 European countries.

BACKGROUND National vaccination coverage rates for individuals at increased risk of influenza-related complications represent a useful public health indicator of preparedness. We compared European countries regarding (i) vaccination coverage among high-risk groups and (ii) the likelihood that high-risk individuals reported influenza vaccination compared with those at lower risk. METHODS We used data from the Survey of Health, Ageing and Retirement in Europe (SHARE) collected in 2004-05. Adults aged ≥ 50 years from 11 countries provided self-reports of an influenza vaccination in the previous year (n = 16,913). We defined four high-risk groups (age ≥ 65 years, presence of vascular disease, chronic lung disease or diabetes) and calculated vaccination coverage with 95% confidence intervals for each country. Country-specific multivariable logistic regression was used to estimate odds ratios (ORs) for membership in a high-risk group and vaccination. RESULTS The Netherlands had the highest influenza vaccination coverage in high-risk groups (≥ 75% in any group) while Greece had the lowest (<27% in any group). Older age was positively associated with report of vaccination in all countries, but the strength of this association varied from an OR of <2 (Germany) to >13 (The Netherlands). The ORs for the chronic disease groups was ≥ 4 for The Netherlands and were considerably lower (and often not statistically significant) for the other countries. CONCLUSION Influenza vaccination coverage among high-risk groups varies considerably between European countries. Our findings highlight potential opportunities for reducing influenza-related complications through support for vaccination programs that target high-risk individuals more effectively.
Analysis of Simulated Polarimetric SAR Images Generated by a Multilayer Electromagnetic Scattering Model

The evaluation of a polarimetric SAR image, which is generated by means of computation of far electric field scattered by multilayer structure, is carried out. The image analysis consists on the study of statistical properties of amplitude data and the investigation of the information gathered by alpha and szlig angles derived from the standard Cloude-Pottier's target decomposition and the orientation angle induced by azimuthal terrain slope. The discriminatory power capability of these three angle features is assessed through a simple threshold polarimetric classification procedure. The results show that the simulation process is working properly and that the SAR return is extremely sensitive to scatter local orientation.
Biometric Iris Recognition Based on Hybrid Technique

Iris Recognition is one of the important biometric recognition systems that identify people based on their eyes and iris. In this paper the iris recognition algorithm is implemented via histogram equalization and wavelet techniques. In this paper the iris recognition approach is implemented via many steps, these steps are concentrated on image capturing, enhancement and identification. Different types of edge detection mechanisms; Canny scheme, Prewitt scheme, Roberts scheme and Sobel scheme are used to detect iris boundaries in the eyes digital image. The implemented system gives adequate results via different types of iris images.
Take Some Time to Feel This Over: Relations Between Mood Responses, Indecision, and Creativity

Previous characterizations of rumination do not account for why a reflective style of ruminative response to negative mood, as opposed to a brooding style, is linked with greater creativity—especially when indecision is high. Moreover, less is known about ruminative responses to positive mood. The purpose of this investigation is to demonstrate the utility of a new conceptualization of rumination styles that explains their differential effects across negative and positive moods. Using tenets from psychological self-distance theory, reflective and brooding styles were respectively characterized as self-distant and self-immersed, and they were measured with the Ruminative Responses Scale (RRS), a commonly used indicator of ruminative responses to negative mood. Self-distant and self-immersed responses to positive mood were measured with an RRS adaptation. In this sample, only a self-immersed response to positive mood predicted creativity when indecision was high. Results demonstrate contrasting links between creativity and self-perspectives when responding to negative and positive moods.
Memory Virtualization Technique for Efficient Access of Data Resources in Cloud Environment

Working in cloud environment and accessing its services is fascinating task. It is one of modern technological areas to work upon it for development of nation and increase economy rate. The paper deals with improving desktop cloud computing services with the help of technique called Memory Virtualization. Since virtualization is efficient to extent scalability of typical desktop-as-a-service and make it suitable for Wide Area Network (WAN’s) environments. Desktop-as-a-Service (DaaS) in cloud computing means that user can access its own desktop services as well as services of other desktops located on remote servers. Memory virtualization not only works with virtual memory but it also maps physical memory instructions to actual machine memory. The instructions stored in machine memory are checked with incoming user client requests. Similar matched queries will result in generation of data using one of recovery techniques called Shadow Paging Technique. Data is produced and stored in remote cloud environment where user can access the data to perform their tasks. The proposed systematic model for accessing desktop services is shown in following paper by using memory virtualization technique. A comparison is also made between paravirtualization technique and memory virtualization technique that gives solution in favor of memory virtualization technique.
Fragment-based Conformant Planning

With complex systems such as spacecraft, we often need to achieve goals even though failures prevent the exact state of the system from being determined. Conformant planning is the problem of generating a plan that moves a system from any of a number of possible initial states to a goal state, given that actions may have uncertain outcomes and sensing is unavailable. Two existing approaches to conformant planning are to consider the effects of actions in all worlds simultaneously, or to generate a plan in one world and test it in the remaining worlds. In contrast, in this work we attempt to find a plan for one world and extend it to work in all worlds. This approach is motivated by the desire to find conformant plans when one exists and partially conformant plans when one does not. It can be implemented with many underlying planning approaches and search strategies, and can be used in an anytime manner. We show that on a familiar conformant planning domain this approach is competitive with all but the fastest planners on serial problems and dominant on problems where a parallel plan is required.
The compulcelebrity effect: upmarket chef proprietors and compulsory celebrity

Using an inductive grounded theory methodology this research, congruent to grounded theories’ intent, presents the development of a substantive theory of compulcelebrity. Coined by the author, the term ‘compulcelebrity’ is the compulsory acquisition of celebrity by individuals who, through entry and exposure to the conditions within their environment, become compelled to attain celebrity status. In the case of this research, the environment in question is that of upmarket chef proprietors (UCPs). Compulcelebrity was evident within the environment of UCPs as research participants discussed their actions, understandings and feelings as they denied their celebrity, admitted their celebrity, desired celebrity, used their knowledge to generate celebrity, arranged media participation at their opening events, admitted a financial need for celebrity, accepted the rewards of celebrity and, through the integration of celebrity duties into their everyday life, accepted and reinforced a celebrity norm. Compulcelebrity derived from, and was illuminated by, research participants’ own descriptions of UCPs in situ, their celebrification, and of their celebrity as a fait accompli. Research participants discussed compulcelebrity predominantly through the narrative identifier of ‘chef’. Thus, although UCPs acknowledged the need for synthesis between their celebrity activities and their restaurants, it was through their identity as chefs, and the culinary content they could provide, that they felt the media was interested in them. The interest from the media in UCPs further reinforced the connection between themselves, the media, the celebrity chef phenomena, and the celebrity industry. Furthermore, public interest in culinary content has created a demand for UCPs as celebrity figures which, in conjunction with their need for visibility and the media’s demand for legitimate content, has resulted in UCPs’ exposure to compulcelebrity.
Building Home–School Relationships to Enhance Reading Achievement for Students From Families With Limited Financial Resources

In Phase I, expectations for parental involvement were evaluated in a Title I school with a history of low reading achievement. Interviews were conducted with the principal, parent liaison, two first-grade teachers, and four families with limited financial resources whose children struggled in reading. Administrators and teachers believed parents’ lack of involvement at school events conveyed the wrong values to their children and served as a primary reason for continued poor academic performances. In Phase II, parents and teachers partnered to tutor students. For those families who participated in tutoring, their children’s reading progress after 2 months of tutoring matched or exceeded their growth during the previous 7 months of receiving only classroom instruction. Teachers’ initial skepticism regarding parents’ ability to tutor was replaced by a new appreciation for their efforts. Discussion focuses on both the quantity and the quality of parental involvement using a framework by Pomerantz and Moorman.
Toward a Unif ied Theory of Reasoning

This article describes a theory that uses mental models to integrate deductive, inductive, and probabilistic reasoning. It spells out the main principles of the theory and illustrates them with examples from various domains. It shows how models underlie inductions, explanations, estimates of probabilities, and informal algorithms. In all these cases, a central principle is that the mind represents each sort of possibility in a separate mental model and infers whatever holds in the resulting set of models. Finally, the article reviews what has been accomplished in implementing the theory in a single large-scale computer program, mReasoner.
A cross-sectional study of dietary patterns with glucose intolerance and other features of the metabolic syndrome

Previous epidemiological studies have demonstrated relationships between individual nutrients and glucose intolerance and type 2 diabetes, but the association with the overall pattern of dietary intake has not previously been described. In order to characterize this association, 802 subjects aged 40–65 years were randomly selected from a population-based sampling frame and underwent a 75 g oral glucose-tolerance test. Principal component analysis was used to identify four dietary patterns explaining 31·7 % of the dietary variation in the study cohort. These dietary patterns were associated with other lifestyle factors including socio-economic group, smoking, alcohol intake and physical activity. Component 1 was characterized by a healthy balanced diet with a frequent intake of raw and salad vegetables, fruits in both summer and winter, fish, pasta and rice and low intake of fried foods, sausages, fried fish, and potatoes. This component was negatively correlated with central obesity, fasting plasma glucose, 120 min non-esterified fatty acid and triacylglycerol, and positively correlated with HDL-cholesterol. It therefore appears to be protective for the metabolic syndrome. Component 1 was negatively associated with the risk of having undiagnosed diabetes, and this association was independent of age, sex, smoking and obesity. The findings support the hypothesis that dietary patterns are associated with other lifestyle factors and with glucose intolerance and other features of the metabolic syndrome. The results provide further evidence for the recommendation of a healthy balanced diet as one of the main components of chronic disease prevention.
A Study of Search Result Clustering Interfaces : Comparing Textual and Zoomable User Interfaces

There have been several studies that compare sequential search results versus clustered search results, and graphical presentations versus textual presentations. These studies have resulted in confirmed efficiency and preference of clustering over sequential lists. The studies between graphical and textual presentations have usually shown to be task dependant. This study shows a systematic evaluation of zoomable versus textual clustered search results. A controlled experiment with repeated measures design and within-subjects differences was performed with fifteen subjects, comparing Groxis, Inc.’s Grokker – their clustering product – a zoomable user interface, their textual clustering product and Vivisimo’s textual clustering product. No significant differences were found for objective measures. However, there were significant differences for subjective measures. The textual clustering interfaces was preferred and elicited major satisfaction among the users. Results are summarized in both a quantitative and qualitative format. Author
Smart Insiders: Exploring the Threat from Insiders Using the Internet-of-Things

The Internet-of-Things (IoT) is set to be one of the most disruptive technology paradigms since the advent of the Internet itself. Market research company Gartner estimates that around 4.9 billion connected things will be in use in 2015, and around 25 billion by 2020. While there are substantial opportunities accompanying IoT, spanning from Healthcare to Energy, there are an equal number of concerns regarding the security and privacy of this plethora of ubiquitous devices. In this position paper we approach security and privacy in IoT from a different perspective to existing research, by considering the impact that IoT may have on the growing problem of insider threat within enterprises. Our specific aim is to explore the extent to which IoT may exacerbate the insider-threat challenge for organisations and overview the range of new and adapted attack vectors. Here, we focus especially on (personal) devices which insiders bring and use within their employer's enterprise. As a start to addressing these issues, we outline a broad research agenda to encourage further research in this area.
Apply Model Checking to Security Analysis in Trust Management

Trust management is a form of access control that uses delegation to achieve scalability beyond a single organization or federation. However, delegation can be difficult to control. A resource owner that delegates some authority is naturally concerned not only about who has access today, but also who will have access after others make changes to the global policy state. They need tools to help answer such questions. This problem has been studied in the case of a trust management language called RT. where, for simple questions concerning specific individuals, polynomial time algorithms are known. However, more useful questions, like "Could anyone who is not an employee ever get access? " are in general intractable. This paper concerns our efforts to build practical tools that answer such questions in many cases nevertheless by using a lightweight approach that leverages a mature model checking tool called SMV. Model checking is an automated technique that checks if desired properties hold in the model. Our experience, reported here, suggests that in our problem domain, such a tool may often be able to identify delegations that are unsafe with respect to security questions like the one mentioned above. We explain our translation from a RT policy and containment query to an SMV model and specification as well as demonstrate the feasibility of our approach with a case study.