Miracle-dz/UniFAR-FTUs huggingface dataset:
Pervasive and Mobile Computing ( ) – Pervasive and Mobile Computing Semantic Web Technologies in Pervasive Computing: a Survey and Research Roadmap

Pervasive and sensor-driven systems are by nature open and extensible, both in terms of input and tasks they are required to perform. Data streams coming from sensors are inherently noisy, imprecise and inaccurate, with differing sampling rates and complex correlations with each other. These characteristics pose a significant challenge for traditional approaches to storing, representing, exchanging, manipulating and programming with sensor data. Semantic Web technologies provide a uniform framework for capturing these properties. Offering powerful representation facilities and reasoning techniques, these technologies are rapidly gaining attention towards facing a range of issues such as data and knowledge modelling, querying, reasoning, service discovery, privacy and provenance. This article reviews the application of the Semantic Web to pervasive and sensor-driven systems with a focus on information modelling and reasoning along with streaming data and uncertainty handling. The strengths and weaknesses of current and projected approaches are analysed and a roadmap is derived for using the Semantic Web as a platform, on which open, standard-based, pervasive, adaptive and sensor-driven systems can be deployed.
Down-regulation of mitochondrial ATPase by hypermethylation mechanism in chronic myeloid leukemia is associated with multidrug resistance.

BACKGROUND To identify novel proteins involved in multidrug resistance in chronic myeloid leukemia (CML). MATERIALS AND METHODS Comparative proteomics was used to screen multidrug resistance-related proteins from K562 and K562/A02; the differently expressed proteins were further confirmed by western blot and real-time PCR. short hairpin RNA (shRNA) assay was applied to determine the relationship between candidate protein and adriamycin resistance. Bisulfite sequencing was carried out to assess methylation status of candidate multidrug resistance-related gene promoter. K562/A02 was treated with 5-azacytidine or trichostatin A (TSA); multidrug resistance phenotype and corresponding protein or gene changes were detected. RESULTS Seventeen proteins with altered abundances of more than twofold were detected, among which mitochondrial ATPase in K562/A02 was significantly down-regulated. Suppressing mitochondrial ATPase by shRNA could enhance adriamycin resistance and antiapoptosis activity of K562. The promoter hypermethylation in mitochondrial ATPase was found to be attributed to the adriamycin-resistant phenotype of both K562/A02 (methylated frequency 18.18%) and CML primary cells in accelerated phase (methylated frequency 7.95%) or blast crisis (methylated frequency 26.59%). Inhibition of hypermethylation increased adriamycin sensitivity of K562/A02. A synergistic effect on reversing adriamycin-resistant phenotype was obtained when 5-azacytidine was combined with TSA. CONCLUSION Down-regulation of mitochondrial ATPase can lead to adriamycin resistance in CML and the mechanism is associated with DNA methylation regulation.
Outcomes of Active Surveillance for Ductal Carcinoma in Situ: A Computational Risk Analysis.

BACKGROUND Ductal carcinoma in situ (DCIS) is a noninvasive breast lesion with uncertain risk for invasive progression. Usual care (UC) for DCIS consists of treatment upon diagnosis, thus potentially overtreating patients with low propensity for progression. One strategy to reduce overtreatment is active surveillance (AS), whereby DCIS is treated only upon detection of invasive disease. Our goal was to perform a quantitative evaluation of outcomes following an AS strategy for DCIS. METHODS Age-stratified, 10-year disease-specific cumulative mortality (DSCM) for AS was calculated using a computational risk projection model based upon published estimates for natural history parameters, and Surveillance, Epidemiology, and End Results data for outcomes. AS projections were compared with the DSCM for patients who received UC. To quantify the propagation of parameter uncertainty, a 95% projection range (PR) was computed, and sensitivity analyses were performed. RESULTS Under the assumption that AS cannot outperform UC, the projected median differences in 10-year DSCM between AS and UC when diagnosed at ages 40, 55, and 70 years were 2.6% (PR = 1.4%-5.1%), 1.5% (PR = 0.5%-3.5%), and 0.6% (PR = 0.0%-2.4), respectively. Corresponding median numbers of patients needed to treat to avert one breast cancer death were 38.3 (PR = 19.7-69.9), 67.3 (PR = 28.7-211.4), and 157.2 (PR = 41.1-3872.8), respectively. Sensitivity analyses showed that the parameter with greatest impact on DSCM was the probability of understaging invasive cancer at diagnosis. CONCLUSION AS could be a viable management strategy for carefully selected DCIS patients, particularly among older age groups and those with substantial competing mortality risks. The effectiveness of AS could be markedly improved by reducing the rate of understaging.
Stator and rotor resistance observers for induction motor drive using fuzzy logic and artificial neural networks

This paper presents a new observer for the rotor resistance of an indirect vector controlled induction motor drive using artificial neural networks supplemented by a fuzzy logic based stator resistance observer. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights of the neural network model for the rotor resistance estimation. The error between the measured stator current and its corresponding estimated value is mapped to a change in stator resistance with a proposed fuzzy logic. The stator resistance observed with this approach is used to correct the rotor resistance observer using neural networks. The performance of these observers and torque and flux responses of the drive, together with these estimators, are investigated with the help of simulations. Both modeling and experimental data on tracking performances of these observers are presented. With this approach accurate rotor resistance estimation was achieved and was made insensitive to stator resistance variations both in modeling and experiment.
Modeling the Diagnostic Efficiency of Regression Test Suites

Diagnostic performance, measured in terms of the manual effort developers have to spend after faults are detected, is not the only important quality of a diagnosis. Efficiency, i.e., the number of tests and the rate of convergence to the final diagnosis is a very important quality of a diagnosis as well. In this paper we present an analytical model and a simulation model to predict the diagnostic efficiency of test suites when prioritized with the information gain algorithm. We show that, besides the size of the system itself, an optimal coverage density and uniform coverage distribution are needed to achieve an efficient diagnosis. Our models allow us to decide whether using IG with our current test suite will provide a good diagnostic efficiency, and enable us to define criteria for the generation or improvement of test suites.
Document The Dispute over Cyprus: Facts and Interpretations

Along with those case studies he did on the Middle East, the Cyprus case study that is presented here was meant to have been part of István Bibó's Paralysis of International Institutions and the Remedies. A Study of Self-Determination, Concord among the Major Powers, and Political Arbitration (Hassock, Sussex: The Harvester Press, 1976), written between 1965 and 1974, but it was finally left out of the volume. István Bibó (1911–1979) was a seminal Hungarian democratic political thinker, international lawyer, and the last legitimate minister of the 1956 revolution, and, in this case study, he pointed out that there is no such entity as a Cypriot nation. Cyprus is the clashing and splitting area of the Greek and the Turkish nation-making processes. His detailed analysis is based upon this assumption. It has been translated by Péter Pásztor (Szentendre, Hungary).
Time-resolved number concentrations and size distribution of aerosol particles in an urban road tunnel

We used flow-switching type differential mobility particle sizer in a diameter range of 6–1000 nm and vehicle counting detectors with a time resolution of 10 min for 15 days in July 2010 in the Castle District Tunnel, Budapest. The total particle number concentrations varied from 5.1 ¥ 103 to 465 ¥ 103 cm–3 with a median of 143 ¥ 103 cm–3. The median was greater by a factor of 12 than that for the urban ambient air. The mean (± SD) contribution of ultrafine particles to the total particle number was 85% ± 1%, which is significantly greater than for the urban ambient air. Diurnal variations in the number concentrations in the tunnel on workdays exhibited different time pattern than the traffic, which was explained by ventilation. Number size distributions of particles were resolved into Aitken and accumulation modes with the overall median diameters of 33 and 86 nm, respectively. The mean Aitken mode/accumulation mode concentration ratio was 3.6.
Learning to Read and Learning to Teach Reading

The National Curriculum for Initial Teacher Education in English is specific and detailed about the knowledge expected of primary teachers. Shulman (1987) argued that teachers transform this sort of subject content knowledge into something accessible and meaningful to their pupils and this knowledge is described as ‘pedagogic content knowledge’. Medwell et al. (1998) found that effective literacy teachers only knew literacy in the way that they taught it. The research project underpinning this article aimed to explore student teachers' conceptions of the teaching of reading in order to find out what they thought they were teaching when they taught reading. It was thought that the personal reading histories of the students would impact on their developing conceptions of teaching reading. This article traces one student, Gordon, through the year of his PGCE course. In the form of dialogue between Gordon and the researcher developing understanding is articulated. Three different types of reading are described: decoding, making meaning and engaging. Reading is seen as a transformative process, where the reader is both within and outside the text. This has implications both for the conception of reading contained within the curriculum and the way it is implemented within the classroom. A teacher can only introduce children to experiences and ways of reading that are known to herself. It is argued, therefore, that student teachers need to extend the boundaries of their own reading and so appreciate the wide range of ways in which meaning is constructed and readers are created.
Power, Technology and Flexibility in Organizations

This paper critically reviews arguments about technology and their relationship to some positions which have recently been established in the sociological analysis of power. These positions reformulate the relationship between concepts of power and concepts of the organization. Each is seen as integral to the other rather than power being a merely contingent feature of some organizations. Emphasis is placed upon notions of practices and disciplines, ideas developed in order to link power and knowledge. The conception of organization analysis offered is as a cultural study, with power/knowledge inextricably intertwined in central focus. The paper reviews four broad positions in the debates on flexible manufacturing and articulates the conceptions of power and organization upon which each is premised. At the core of the paper, however, are issues surrounding the conceptualization of power.
Confirmations and Joint Action

We argue that current plan-based theories of discourse do not by themselves explain prevalent phenomena in even simple task-oriented dialogues. The purpose of this paper is to show how one difhcult-to-explain feature of these dialogues, confirmations, follows from the joint or team nature of the underlying task. Specifically, we review the concept of a joint intention and we argue that the conversants in a task-oriented dialogue jointly intend to accomplish the task. From this basis, we derive the goals underlying the pervasive use of confirmations observed in a recent experiment. We conclude with a discussion on generalizing the analysis presented here to characterize dialogue itself as a joint activity.
Mind and Body Spaces : Geographies of Illness, Impairment and Disability

Mind and Body Spaces highlights new international research from Britain, USA, Canada and Australia, on bodily impairment, mental health and disabled peoples social worlds. The contributors discuss a variety of current issues including: * historical conceptions of the body and behaviour * contemporary political activism * matters of identity and employment * accessible housing * parenthood and child carers * psychiatric medication use * masculinity and sexuality * autobiography * social exclusion and inclusion. The contributors are: Hester Parr, Ruth Butler, Rob Imrie, Michael L. Dorn, Deborah Carter Park, John Radford, Brendan Gleeson, Isabel Dyck, Edward Hall, Pamela Moss, Gill Valentine, Christine Milligan, Flora Gathorne-Hardy, Jane Stables, Fiona Smith and Vera Chouinard.
A maneuver-based lane change assistance system

Lane change is a very demanding maneuver. Therefore, a maneuver-based lane change assistance system has been developed which, by means of a single-task-combining assistance concept, supports the driver from the driver's first lane change intention through the final movement of the vehicle from the initial to the target lane, without automatization of the vehicle guidance. The maneuver recommendation covers lane change timing, lane change direction as well as the required acceleration or deceleration. The system architecture with its modules to estimate the maneuver recommendation is described as well as the HMI which presents the information to the driver on a display and by an additional steering-wheel torque. A core assistance module geared to the driver's needs and the detection of driver's intention based on motivators, inhibitors and indicators is explained in detail.
Aile Destek Ölçeği: Faktör Yapısı, Güvenirlik ve Geçerlik Çalışmaları

Aile Destek Olcegi (ADO) yetersizlige sahip cocugu olan anababalarin sosyal destek algilarini olcmeyiamaclamaktadir Bu makalede ADO'nin faktor yapisi, gecerligi ve guvenirligi ile ilgili calismalarin sonuclariozetlenmistir Faktor analizi sonucunda duygusal destek, bilgi destegi, bakim destegi, yakin iliski destegi vemaddi destek olarak kavramsallastirilan 5 alt boyut bulunmustur Hesaplanan test-yeniden test, iki yarimguvenirligi ve Cronbach Alfa guvenirlik katsayilari doyurucu duzeydedir Cokboyutlu Algilanan Sosyal DestekOlcegi ile yapilan gecerlik calismasi iki arac arasindaki iliski katsayisinin anlamli ve yuksek oldugunugostermistir Algilanan anababa desteginin cocuklarin yaslarina ve cinsiyetlerine gore farklilastigi bulunmustur.
High performance clustering based on the similarity join

A broad class of algorithms for knowledge discovery in databases (KDD) relies heavily on similarity queries, i.e. range queries or nearest neighbor queries, in multidimensional feature spaces. Many KDD algorithms perform a similarity query for each point stored in the database. This approach causes serious performance degenerations if the considered data set does not fit into main memory. Usual cache strategies such as LRU fail because the locality of KDD algorithms is typically not high enough. In this paper, we propose to replace repeated similarity queries by the similarity join, a database primitive prevalent in multimedia database systems. We present a schema to transform query intensive KDD algorithms into a representation using the similarity join as a basic operation without affecting the correctness of the result of the considered algorithm. In order to perform a comprehensive experimental evaluation of our approach, we apply the proposed transformation to the clustering algorithm DBSCAN and to the hierarchical cluster structure analysis method OPTICS. Our technique allows the application of any similarity join algorithm, which may be based on index structures or not. In our experiments, we use a similarity join algorithm based on a variant of the X-tree. The experiments yield substantial performance improvements of our technique over the original algorithms. The traditional techniques are outperformed by factors of up to 33 for the X-tree and 54 for the R*-tree.
Effect of intensity of aerobic training on VO2max.

PURPOSE To determine whether various intensities of aerobic training differentially affect aerobic capacity as well as resting HR and resting blood pressure (BP). METHODS Sixty-one health young adult subjects were matched for sex and VO2max and were randomly assigned to a moderate- (50% VO2 reserve (VO2R), vigorous (75% VO2R), near-maximal-intensity (95% VO2R), or a nonexercising control group. Intensity during exercise was controlled by having the subjects maintain target HR based on HR reserve. Exercise volume (and thus energy expenditure) was controlled across the three training groups by varying duration and frequency. Fifty-five subjects completed a 6-wk training protocol on a stationary bicycle ergometer and pre- and posttesting. During the final 4 wk, the moderate-intensity group exercised for 60 min, 4 d.wk the vigorous-intensity group exercised for 40 min, 4 d.wk and the near-maximal-intensity group exercised 3 d.wk performing 5 min at 75% VO2R followed by five intervals of 5 min at 95% VO2R and 5 min at 50% VO2R. RESULTS VO2max significantly increased in all exercising groups by 7.2, 4.8, and 3.4 mL.min.kg in the near-maximal-, the vigorous-, and the moderate-intensity groups, respectively. Percent increases in the near-maximal- (20.6%), the vigorous- (14.3%), and the moderate-intensity (10.0%) groups were all significantly different from each other (P < 0.05). There were no significant changes in resting HR and BP in any group. CONCLUSION When volume of exercise is controlled, higher intensities of exercise are more effective for improving VO2max than lower intensities of exercise in healthy, young adults.
Sequence variability of Borna disease virus open reading frame II found in human peripheral blood mononuclear cells

A cDNA fragment of the Borna disease virus (BDV) open reading frame II (ORF-II), which encodes a 24-kDa phosphoprotein (p24 [P protein]), was amplified from total RNA of peripheral blood mononuclear cells (PBMC) from three psychiatric inpatients. The amplified cDNA fragments were cloned, sequenced, and analyzed. A total of 15 clones, 5 from each patient, were studied. Intrapatient divergencies of the BDV ORF-II nucleotide sequence were 4.2 to 7.3%, 4.8 to 7.3%, and 2.8 to 7.1% for the three patients, leading to differences of 7.7 to 14.5%, 10.3 to 17.1%, and 6.0 to 16.2%, respectively, in the deduced amino acid sequence for BDV p24. Interpatient divergencies among the 15 clones were 5.9 to 12.7% at the nucleotide level and 12.8 to 28.2% at the amino acid level. Thus, in p24, BDV in human PBMC of the patients undergoes mutation at high rates in vivo. Additionally, we found that the nucleotide sequence of the 15 human BDV ORF-II cDNA clones differed from those of the horse strains V and He/80-1 by 4.2 to 9.3%. However, comparison of the consensus amino acid sequence deduced from the 15 human clones with those of the horse strains revealed no human-specific amino acid residue, suggesting that the BDV infecting humans may be related to that infecting horses.
Psoriatic arthropathy: where now?

p soriatic arthropathy is a common inflammatory arthritis that characteristically occurs in individuals with psoriasis [1]. PsA was classified as a distinct entity for the first time in 1964 [2], but the antiquity of this disease can be dated back tens of centuries [3]. The many faces of PsA have historically complicated the timely diagnosis on the one hand, while its aggressive and destructive behavior has been recently recognized in up to 20% of affected persons on the other [4]. As such, PsA has attracted much attention lately, resulting in tremendous progress in the understanding, classification and treatment of the disease in recent years. This review will summarize the current experience in PsA in light of the recent developments in the field.
Contribution of OATP2 (OATP1B1) and OATP8 (OATP1B3) to the Hepatic Uptake of Pitavastatin in Humans

Pitavastatin, a novel potent 3-hydroxymethylglutaryl-CoA reductase inhibitor, is selectively distributed to the liver in rats. However, the hepatic uptake mechanism of pitavastatin has not been clarified yet. In the present study, we investigated the contribution of organic anion transporting polypeptide 2 (OATP2/OATP1B1) and OATP8 (OATP1B3) to pitavastatin uptake using transporter-expressing HEK293 cells and human cryopreserved hepatocytes. Uptake studies using OATP2- and OATP8-expressing cells revealed a saturable and Na+-independent uptake, with Km values of 3.0 and 3.3 μM for OATP2 and OATP8, respectively. To determine which transporter is more important for its hepatic uptake, we proposed a methodology for estimating their quantitative contribution to the overall hepatic uptake by comparing the uptake clearance of pitavastatin with that of reference compounds (a selective substrate for OATP2 (estrone-3-sulfate) and OATP8 (cholecystokinin octapeptide) in expression systems and human hepatocytes. The concept of this method is similar to the so-called relative activity factor method often used in estimating the contribution of each cytochrome P450 isoform to the overall metabolism. Applying this method to pitavastatin, the observed uptake clearance in human hepatocytes could be almost completely accounted for by OATP2 and OATP8, and about 90% of the total hepatic clearance could be accounted for by OATP2. This result was also supported by estimating the relative expression level of each transporter in expression systems and hepatocytes by Western blot analysis. These results suggest that OATP2 is the most important transporter for the hepatic uptake of pitavastatin in humans.