Miracle-dz/UniFAR-FTUs huggingface dataset:
UNI CAT I ON AND INTEGRATION OF EXTERNAL DICOM DEVICES IN GLOBUS GRIDS

The technological and scientific advances in life sciences increase the demand on computing power and storage capacity. Such new requirements can be met by Grid-computing, the collaboration of distributed resourc es across institutional borders. This article focuses on the i ntegration of DICOM as world-wide standard for medical imaging systems into a Globus grid environment. Globus is one of the most popular grid toolkits available today. A grid version of the DICOM implementation (Grid-DICOM) is developed by adaption to the Globus grid security interface (GSI). Furthermore, the development of a Grid-DICOM router enables a seamless integration of legacy DICOM devices like image archives (PACS) and other medical imaging systems. A web-based portal allows user-friendly access to these systems and other DICOM operations in the grid. A prototype of this DICOM image transfer service is installed and tested in MediGRID, the German grid network for life sciences. First runtime tests demonstrate the seamless integration, but reveal slightly higher trans fer times compared to conventional DICOM transfer due to the additional security layer.
CNN-based histological images segmentation of mucous glands

Mucous glands lesions analysis and assessing of malignant potential of colon polyps are very important tasks of surgical pathology. However, differential diagnosis of colon polyps often seems impossible by classical methods and it is necessary to involve computer methods capable of assessing minimal differences to extend the capabilities of the classical pathology examination. Accurate segmentation of mucous glands from histology images is a crucial step to obtain reliable morphometric criteria for quantitative diagnostic methods. We review major trends in histological images segmentation and design a new convolutional neural network for mucous gland segmentation.
Adaptive calibration of feedforward controllers for nonminimum-phase tracking systems

Nonminimum-phase zeros in the discrete transfer function of a plant present design challenges for stable feedforward tracking controllers. Previous pole/zero cancellation approaches have employed a variety of strategies for dealing with "uncancellable" zeros. An alternative approach, especially suitable for repetitive tracking tasks, is proposed: the feedforward controller inherits just the structure of the inverse plant model. The controller parameters are obtained by an adaptive optimization scheme, using plant input-output data from a few test runs of the repetitive task, and the stability of the controller is guaranteed. Simulation studies demonstrate superior performance when compared with the well-known "zero phase error" tracking controller.
GENETIC ALGORITHM BASED ANT COLONY OPTIMIZATION ( GA-ACO ) FOR CROSS DOMAIN OPINION MINING

Web mining and web utilization mining are drawing in numerous analysts to propose new thoughts, models, implement machine-learning algorithms with more improvements. World Wide Web (WWW) use gets extends its wings to all sort of uses that incorporates internet-based business, namely e-commerce. E-commerce encourages shoppers/clients to purchase the needed products on the web and in the meantime, web analytics causes the site overseers to recognize which items get more sales. Opinion mining is one of the ways to make an investigation in numerous decision-making tasks in the web-based business field. This paper proposes a genetic algorithm based ant colony optimization approach (GA-ACO) to solve the problems that emerge cross-domain opinion mining. The acquired dataset comprises of reviews about multiple products like books, DVDs, gadgets and kitchen appliances. The highlights are recognized by making utilization of altered ACO and opinion mining is performed by Genetic Algorithm (GA) Accuracy and F-measure are two chosen performance for evaluating the performance of the proposed work. Comparison of results presented with domain-specific and domainindependent words. Results depict that the proposed work has better performance than that of the existing work as far as chosen performance metrics.
G Game Player Modeling

Game player modeling is the study of computational models to gain an abstracted description of players in games. This description helps to detect, predict, and express the behavior and feelings of players and personalizes games to their preferences. These models can be automatically created using computational and artificial intelligence techniques which are often enhanced based on the theories derived from human interaction with the games (Yannakakis et al. 2013). It offers two major benefits. First, it helps in content customization to cover broader range of players with different skill levels and adapt challenges on the fly in response to the player’s actions (Bakkes et al. 2012). Second, it works as a form of feedback for the game developers and designers so that they may add new innovative features to the games as well as develop new games that advance knowledge, synthesize experience, and escalate the interest of the player (Yannakakis et al. 2013). The very first instance of research on player modeling was reported in the 1970s where Slagle and Dixon attempted to model the behavior of opponent players in the domain of classical games by assuming the elementary fallibility of the opponent (Slagle and Dixon 1970). Later on, a search method based on knowledge about opponent players (i.e., strengths/weaknesses) was invented in 1993 (Carmel et al. 1993). In 2000, Donkers improved opponent modeling by taking into account the computer player’s uncertainty (Donkers 2003). Afterward, an increasing interest developed in the player modeling of modern video games to raise the entertainment factor (Charles and Black 2004). Recently, player modeling has extrapolated its perspective from opponent modeling to a number of other research topics including player satisfaction (Yannakakis 2008), modeling player’s preferences (Spronck and Teuling 2010), runtime challenge adaptation
The Self Assessment Manikin And Heart Rate Responses To

Thank you very much for downloading the self assessment manikin and heart rate responses to. Maybe you have knowledge that, people have look hundreds times for their chosen books like this the self assessment manikin and heart rate responses to, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful virus inside their laptop.
A Hybrid Method (ANP-SWOT) to Formulate and Choose Strategic Alternatives for Development of Rural Cooperatives in Iran

Rural cooperatives, as a small member-owned organizations, are the potential to facilitate socio-economic development in rural areas. Despite this fact, in Iran and many other developing countries, they have not had remarkable successes in this regard. Because strategy formulation and management is a plan to obtain far-reaching development effects of any organization. This study aimed to present a hybrid method to formulate and choose strategies for rural cooperatives development. It combined SWOT analysis, TOWS matrix, and the Analytic Network Process (ANP). We applied brainstorming technique to analyze the external and internal environment of rural cooperatives using the contributions of an experts’ team comprising 10 individual CEOs of rural cooperatives and senior employees of the Central Organization of Rural Cooperatives. When this team identified key SWOT factors, TOWS matrix was constructed to create good strategic alternatives. Finally, ANP was applied to prioritize the strategies. According to results, 19 key strategic factors such as lack of management knowledge (W4), and ability to improve value and supply chains (S4) were identified. In addition, this team identified 11 strategic alternatives which among them Implement public policy and provide technical and financial services (SO2), Facilitate procurement of inputs and develop supply and value chains (SO1) and Involve rural cooperatives in policy planning (ST1), had greater priority in Iran. The experts’ team believed that the presented combined approach helps decision makers and managers to make and choose the best alternative strategies and factors that affect rural cooperatives development.
GEOSPARQL QUERIES OVER RELATIONAL DATA

In this paper we present the system Ontop-spatial that is able to answer GeoSPARQL queries on top of geospatial relational databases, performing on-the-fly GeoSPARQL-to-SQL translation using ontologies and mappings. GeoSPARQL is a geospatial extension of the query language SPARQL standardized by OGC for querying geospatial RDF data. Our approach goes beyond relational databases and covers all data that can have a relational structure even at the logical level. Our purpose is to enable GeoSPARQL querying on-the-fly integrating multiple geospatial sources, without converting and materializing original data as RDF and then storing them in a triple store. This approach is more suitable in the cases where original datasets are stored in large relational databases (or generally in files with relational structure) and/or get frequently updated.
Travellers ’ perspectives of travel constraints and travel booking channel preferences

It is important to identify travel constraints as it influences travel demand. The travel booking channels available also influence travel demand as it determines how easy it is to make the product available to the consumer. This paper investigates which travel constraints influence outbound tourism demand and which travel booking channels South African travellers prefer when making travel bookings. A quantitative research paradigm was utilised whereby a survey was conducted amongst 301 outbound South African travellers. Data was analysed using descriptive statistics. In addition, Multiple Analysis of Variances were calculated to determine whether the demographic variables plays a role in the perception influence travel constraints and booking preferences. Financial constraints were identified as the main travel constraint. Online booking channels were favoured. Suggestions were provided on how travel agencies should market outbound destinations by changing the perceptions of potential travellers regarding travel constraints and so increase consumer satisfaction and how travel booking channel preferences could be better utilised to increase travel bookings.
TAGGEDH 1 NERGY PSYCHOLOGY : EFFICACY , SPEED , MECHANISMS TAGGEDEND

The most well known forms of “energy psychology” combine cognitive and exposure techniques with the stimulation of selected acupuncture points (acupoints) by tapping on them. Most clinicians who learn and utilize an acupoint tapping protocol integrate the approach within their existing clinical frameworks rather than using it as a stand-alone therapy. The method has been highly controversial, with its efficacy, purported speed, and explanatory models all questioned. Nonetheless, its utilization within clinical settings and as a self-help method has continued to expand since it was introduced more than three decades ago. This paper reviews the most salient criticisms of the method and presents research and empirically based theoretical constructs that address them. More than 100 peer-reviewed outcome studies—51 of which are randomized controlled trials—provide an evidential base for evaluating the claims and criticisms
Comprehensive Reliability Evaluation for Dependable Embedded Systems

When we consider a wide range of embedded systems, it is essential to consider multiple parameters, such as performance, power, and even reliability [8]. A low power design is just as important as high performance since mobile embedded systems run on limited capacity batteries with a small form factor. In order to meet both requirements, supply voltage is lowered through the aggressive technology scaling. However, decreasing the supply voltage only increases the vulnerability of the systems due to soft errors, which are transient faults induced mainly by energetic particles such as neutrons, protons, and even cosmic rays. To make mobile embedded systems resilient against soft errors, several redundancy-based techniques have been presented, but they lead to significant overheads in terms of performance, power consumption, and hardware area [3, 6]. Selective protections have been presented as alternative for cost-effective protections [7], but how can we ensure whether it is effective or not? We can estimate overheads in terms of runtime, energy, and area, but it is challenging to estimate reliability in a quantitative manner. Several frameworks have been proposed in order to estimate the reliability for microarchitectural components in a processor [2]. However, there is still a necessity for a validated, comprehensive, and flexible vulnerability estimation modeling. First off, previous works are incomprehensive as they evaluate just a subset of the microarchitectural components in a processor. Secondly, most of the previous works cannot provide configurable vulnerability modeling (e.g., varying ISA, changing number of sequential elements in components) and accurate vulnerability modeling which is due to the underlying simulation platform used. Thirdly, the vulnerability modeling in previous tools is not accurate due to coarse-grained modeling, and its accuracy has not been validated through extensive fault injection campaigns or other schemes. Lastly, many previous tools do not accurately and quantitatively estimate the reliability in the presence of protection schemes. In order to perform early design space explorations, we
EFFECT OF ARIL BROWNING ON PHYSICHO-CHEMICAL PROPERTIES OF POMEGRANATE

India is one of the major producer of pomegranate but the quantity which is been is exported is very low due to lack of quality in fruit and lack of technology for sorting internally defective fruits. In pomegranate the major internal defect is aril browning (AB). Aril browning doesn’t have any external symptoms but causing some internal physichochemical changes, so it very difficult to sort it manually, thus posing serious problems in export trade. This present study has been analyzed the physico-chemical properties to find the difference between black and brown arils with respect to healthier one. The results shown significant changes in most of the properties. The parameters like TSS, TA, Antioxidant activity along with L* and a* values showed significant difference with mean difference of 2.412, 0.297, 38.85, 8.253 and 10.083 respectively. But the other parameters like moisture (0.363), density (0.454) and b* (0.056) values are statistically not different for the independent sample t test though it showed the mean difference of 1.574, 0.0354 and -5.451 respectively. Together the assumption can be made that the higher browning in the fruit will change overall TSS, TA, antioxidant and L* and a* values of fruit. But there won’t be much changes in overall moisture, density and b* value of fruit.
Tensor photography : exploring space of 4D modulations inside traditional camera designs

Light field photography has gained a significant research in the last two decades: today, commercial light field cameras are widely available demonstrating capabilities such as post-capture refocus, 3D photography and view point changes. But, most traditional acquisition approaches either multiplex a low resolution light field into a single sensor image or require multiple photographs to be taken for acquiring high resolution light field. In this thesis, we design, implement and analyze a new light field camera architecture that allows capture and reconstruction of higher resolution light fields in a single shot. The proposed architecture comprises three key components: light field atoms as sparse representation of natural light fields, an optical design to allow capture of optimized 2D light field projections and robust sparse reconstruction methods to recover a 4D light field from a single coded 2D projection. In addition we also explore other applications including compressive focal stack reconstructions, light field compression and denoising. Thesis Supervisor: Ramesh Raskar Title: Associate Professor Program in Media Arts and Sciences
Mixing ordinary and Markov chain Monte Carlo rendering techniques

In this work we propose way of combining ordinary and Markov chain Monte Carlo rendering techniques in image space. We used per-pixel mask to separate pixels (which we want to run Markov chain on) from the rest of the image. The mask was obtained from the ordinary Monte Carlo noise analysis. The proposed method was tested with combination of Multiplexed Metropolis Light Transport as Markov chain technique and two ordinary Monte Carlo rendering techniques Instant Bidirectional Path Tracing and Light Tracing. As a result, our method allows us to get better accuracy in comparison to ordinary Monte Carlo and a better visual perception in comparison to Markov chain Monte Carlo techniques with the same rendering time.
AN EXTENDED SIMULINK LIBRARY FOR MODELING AND CONTROL OF INVERTED PENDULA SYSTEMS

The aim of this paper is to present an improved and extended version of the Inverted Pendula Modeling and Control , a structured thematic Simulink block library which enhances the capabilities of the MATLAB/Simulink program environment by providing means for modeling and control of classical and rotary inverted pendula systems in form of function blocks, demo simulation schemes and applications with graphical user interface.
Human-competitive automatic topic indexing

Topic indexing is the task of identifying the main topics covered by a document. These are useful for many purposes: as subject headings in libraries, as keywords in academic publications and as tags on the web. Knowing a document’s topics helps people judge its relevance quickly. However, assigning topics manually is labor intensive. This thesis shows how to generate them automatically in a way that competes with human performance. Three kinds of indexing are investigated: term assignment, a task commonly performed by librarians, who select topics from a controlled vocabulary; tagging, a popular activity of web users, who choose topics freely; and a new method of keyphrase extraction, where topics are equated to Wikipedia article names. A general two-stage algorithm is introduced that first selects candidate topics and then ranks them by significance based on their properties. These properties draw on statistical, semantic, domain-specific and encyclopedic knowledge. They are combined using a machine learning algorithm that models human indexing behavior from examples. This approach is evaluated by comparing automatically generated topics to those assigned by professional indexers, and by amateurs. We claim that the algorithm is “human-competitive” because it chooses topics that are as consistent with those assigned by humans as their topics are with each other. The approach is generalizable, requires little training data and applies across different domains and languages.
Preventing Drug Abuse in China : Anti-Drug Media Campaigns Through the Eyes of a Drug User

This study critically examines the frequently employed strategies in the currently launched Chinese media campaigns against drug abuse through the perspective of their audience, specifically focusing on those who do not follow the campaign messages – the drug users. Based on depth interviews conducted with nine drug users in rehabilitation centres, this study identifies the problems with the Chinese anti-drug media campaigns and seeks to offer policy recommendations for the improvement of these campaigns. Informed by social psychology theories of behaviour prediction and change, and the active audience literature in the field of media and communications, a reception analysis of the Chinese anti-drug campaigns is carried out in this study, exploring the diverse ways in which different groups of audience interpret the same health-promoting campaign message and trying to find explanations for their different interpretive behaviours. The results prove the validity of these Western theories when applied to the Chinese context, while other factors like political culture, media ideology and cultural traditions play significant roles influencing the outcomes. The analysis leads to the conclusion that the development of Chinese anti-drug media campaigns is still on the primary stage, and there are problems with the definition of the drug abuse behaviour, the drug rehabilitation process and the target audience. Moreover, the trustworthiness of the campaigners, the audience’s access to campaign information as well as the negative influences of other media representations of the drug issue are important factors that should be taken into consideration in the development of effective campaign messages. MSc Dissertation Bo Li
Lymphoid Leukosis in Fayoumi Birds Reared in Countryside

Avian leukosis, an economically important viral disease of laying type birds is not only prevalent in Pakistan but also in other countries. The present study was aimed at describing morbidity, mortality, hatchability and egg production and pathology in naturally occurring cases of avian leukosis in Fayoumi commercial layers in Punjab, Pakistan. The morbidity, mortality, hatchability and egg production were 37.75%, 5.38%, 62.25% and 68.6%, respectively. Clinical signs including emaciation, pale and anemic combs, prominent keel bones, and whitish sclera in affected birds were frequently observed. Postmortem examination revealed extensively enlarged liver that occupied the entire abdominal cavity. From small to large multiple whitish nodular necropsied areas were present on dorsal and ventral surfaces of the liver. Spleen was enlarged with marbling appearance. Bursae were significantly enlarged and significantly enlarged well differentiated multiple whitish nodules were observed cranial to ovarian clutch. Such whitish nodules were also present on intestinal and uterine tube serosal surfaces. Microscopically, entire parenchyma of liver was massively replaced by neoplastic cells. A few healthy hepatocytes were left those were also surrounded by neoplastic cells. Similar cell population was also infiltrating the splenic parenchyma, intestines and uterine tube. The PCR confirmed avian leukosis virus by amplification of specific and conserved fragment gene of 545 bp. The results of present study confirmed the presence of lymphoid leukosis in Fayoumi egg-type birds which is first time reported from Pakistan. © 2019 Friends Science Publishers