Miracle-dz/UniFAR-FTUs huggingface dataset:
Resiliency-aware data management

Computing architectures change towards massively parallel environments with increasing numbers of heterogeneous components. The large scale in combination with decreasing feature sizes leads to dramatically increasing error rates. The heterogeneity further leads to new error types. Techniques for ensuring resiliency in terms of robustness regarding these errors are typically applied at hardware abstraction and operating system levels. However, as errors become the normal case, we observe increasing costs in terms of computation overhead for ensuring robustness. In this paper, we argue that ensuring resiliency on the data management level can reduce the required overhead by exploiting context knowledge of query processing and data storage. Apart from reacting on already detected errors, this was mostly neglected in database research so far. We therefore give a broad overview of the background of resilient computing and existing techniques from the database perspective. Based on the lack of existing techniques on data management level, we raise three fundamental challenges of resiliency-aware data management and present example use cases. Finally, our vision of resiliency-aware data management opens many directions of future work. Fundamental research, including the partial reuse of underlying mechanisms, would allow data management systems to cope with future hardware characteristics by effectively and efficiently ensuring resiliency.
Dual metamaterials substrate integrated leaky-wave structures for antenna applications

A dual, metamaterials, substrate integrated, leaky-wave structures for antenna applications is proposed to improve the antenna gain. The proposed antenna consists of two composite right/left-handed substrate integrated waveguide leaky-wave structures. A common vias wall is used to combine the leaky-wave structures. The dual leaky-wave structures based antenna is designed, fabricated, and measured. The measured gain more than of 12.0 dBi with variation of 3.0 dB is achieved over the frequency range from 8.25 to 12.0 GHz. The measured beam scanning range is from -52° to 68° over a frequency band of 8.0-13.0 GHz.
The Abolition of the Insanity Defense in Sweden and the United Nations Convention on the Rights of Persons with Disabilities: Human Rights Brinksmanship or Evidence It Won’t Work?

The U.N. Convention on the Rights of Persons with Disabilities (CRPD) may require the abolition of the insanity defense and similar “special defenses” in criminal law. Proponents argue that abolishing the defense would advance efforts to fully recognize the legal capacity of persons with disabilities on an equal basis with others; detractors suggest it would compound the substantive inequality of an already marginalized population. This paper seeks to accelerate this debate with reference to Swedish criminal law, which saw the abolition of the insanity defense in 1965. Neither side of the debate appears to have considered the anomaly of Swedish criminal law. Equally, Swedish legislators appear to have overlooked CRPD-based considerations. Instead, Sweden seems likely to reintroduce the insanity defense following long-standing domestic criticism. This paper brings together developments in Sweden and international human rights law, and draws out conceptual and practical lessons in the quest for due process rights and substantive equality for people with disabilities in criminal law.
The Hitchhikers Guide to Sharing Graph Data

A graph is used to represent data in which the relationships between the objects in the data are at least as important as the objects themselves. Over the last two decades nearly a hundred file formats have been proposed or used to provide portable access to such data. This paper seeks to review these formats, and provide some insight to both reduce the ongoing creation of unnecessary formats, and guide the development of new formats where needed.
High-Density Lipoprotein Reduces the Human Monocyte Inflammatory Response

Objective—Whereas the anti–inflammatory effects of high-density lipoprotein (HDL) on endothelial cells are well described, such effects on monocytes are less studied. Methods and Results—Human monocytes were isolated from whole blood followed by assessment of CD11b activation/expression and cell adhesion under shear-flow. HDL caused a dose-dependent reduction in the activation of CD11b induced by PMA or receptor-dependent agonists. The constituent of HDL responsible for the antiinflammatory effects on CD11b activation was found to be apolipoprotein A-I (apoA-I). Cyclodextrin, but not cyclodextrin/cholesterol complex, also inhibited PMA-induced CD11b activation implicating cholesterol efflux as the main mechanism. This was further confirmed with the demonstration that cholesterol content of lipid rafts diminished after treatment with the cholesterol acceptors. Blocking ABCA1 with an anti-ABCA1 antibody abolished the effect of apoA-I. Furthermore, monocytes derived from a Tangier disease patient definitively confirmed the requirement of ABCA1 in apoA-I–mediated CD11b inhibition. The antiinflammatory effects of apoA-I were also observed in functional models including cell adhesion to an endothelial cell monolayer, monocytic spreading under shear flow, and transmigration. Conclusions—HDL and apoA-I exhibit an antiinflammatory effect on human monocytes by inhibiting activation of CD11b. ApoA-I acts through ABCA1, whereas HDL may act through several receptors.
Taxonomy of Ageing and Non-Ageing Genes by Means of General Data Mining Techniques

Classification of DNA repair genes into ageing and nonageing is a vital process to identify faulty genes. Classifying genes into ageing and non-ageing human genome ranges over ten thousand. The ratio of ageing genes in the human genome is very less. There is a need for classifying ageing genes accurately in order to understand the complex processes occurring in living organisms. Data mining approach is routinely applied to classify DNA repair genes using various characteristics and feature. This paper proposes to build classification models that allow us to discriminate between ageing-related and non-ageing related DNA repair genes, in order to enhance value their different properties of genes classification performance should be evaluated by applying different kinds of classification algorithms like pruning, multiperceptron and Logistics. It will helpful for biomedical researchers, gene analyzer, patients and different kinds of end user.
Fractional flow reserve for the prediction of cardiac events after coronary stent implantation: results of a multivariate analysis

Objective: To determine the prognostic value of fractional flow reserve (FFR) measurements after coronary stent implantation including multiple clinical and angiographic parameters collected in one centre. Methods: 119 consecutive patients were enrolled who had a stent implanted with the use of a pressure wire as a guidewire. Patients were followed up for at least six months. Any death, myocardial infarction, and target vessel revascularisation were considered major adverse cardiac events (MACE). Multivariate logistic regression was used to determine adjusted odds ratios (OR) and 95% confidence intervals (CI) for FFR and covariates. Results: Complete follow up data were available for all 119 patients. Pre-interventional FFR increased from 0.65 (0.15) to 0.94 (0.06) (p < 0.0001) after stent implantation. Eighteen MACE (15%) occurred during follow up including 15 (12.6%) target vessel revascularisations. Final FFR was significantly higher in patients without than in patients with an event (0.95 (0.05) v 0.88 (0.08), p = 0.001). In the multivariate logistic regression analysis, only final FFR < 0.95 (OR 6.22, 95% CI 1.79 to 21.62, p = 0.004) and reduced left ventricular function (OR 0.95, 95% CI 092 to 0.99, p = 0.021) remained as significant independent predictors for MACE. Conclusion: These results including multiple parameters underline that FFR after coronary stenting is a strong and independent predictor for subsequent cardiac events after six months’ follow up.
A framework for Mixed Symbolic-based and Feature-based Query by Example Image Retrieval

This paper defines and studies the use of query by example (QBE) in the context of photograph retrieval. The novelty of our approach lies in considering an automatic indexing process of photographs as well as a representation of the features of image regions in a single knowledge representation formalism. Both symbolic and feature based representation are used during the query by example process. More precisely, the QBE process is able to take into account the symbolic descriptors of the images but also the extracted features from image under the form of histograms. The aim of this process is to detect the relative importance of the symbolic elements and of the feature elements according to the user's query by example. We experiment the query by example process on two collections of a total of 1100 photographs. The precision measures we have obtained are as good as a baseline defined as explicit textual queries processing. Keyword: Symbolic Image Indexing, Image Retrieval, Conceptual Graphs.
Income taxation with frictional labor supply

This paper characterizes the optimal labor income taxes in an environment where labor supply choices are subject to frictions. Agents incur a fixed cost of adjusting their hours of work in response to changes in their idiosyncratic wages or the tax rates. This fixed cost can be thought of as the cost of searching for a new job in an economy where hours are constrained within the firm. I derive a formula that characterizes the optimal long-run progressive tax schedule in this economy. Adjustment frictions generate endogenously an extensive margin of labor supply conditional on participation. In addition to the standard intensive margin disincentive effects of taxes, the optimal tax schedule takes into account their effects on the endogenous option value of adjusting hours of work, and therefore depends on several new elasticities and marginal social welfare weights. I evaluate the quantitative magnitude of these novel theoretical effects and show that for a given intensive margin labor supply elasticity, the optimal long-run tax schedule is less progressive than a frictionless model would predict. The welfare miscalculations by wrongly assuming that labor supply is frictionless can be large, and are decreasing in the size of the intensive margin labor income elasticity.
Accuracy Of Parental Report On Phonological Inventories Of Toddlers

Considering the diminishing availability of professional resources, increasing costs, and time requirements involved in early childhood mass screenings, parents are an essential source of information. In this study, the Survey of Speech Development (SSD) (Perry-Carson & Steel, 2001; Steel, 2000) was used to determine the accuracy of parents in reporting the speech sound inventories of their toddlers. Parents of 30 children, who were between the ages of 27 to 33 months old, completed the SSD prior to a speech and language assessment session. Based on assessment results, the children were classified as normal developing or language delayed. A 20minute play interaction between the parent and child was recorded during the assessment and was transcribed later for analysis. Speech sounds (consonants) were coded as present or absent and comparisons were made between the parents results on the SSD and data from the 20-minute speech sample. A point-by-point reliability analysis of the speech sounds on the SSD compared to those produced in the speech sample revealed an overall parental accuracy of 75%. Further, no differences were found between parent reports and transcribed accounts for total number of different consonants. This was true for parents of both language delayed and language normal toddlers. Results suggest that if given a systematic means of providing information, parents are a reliable source of information regarding sounds their toddlers produce.
Impact of misinformation in temporal network epidemiology

Abstract We investigate the impact of misinformation about the contact structure on the ability to predict disease outbreaks. We base our study on 31 empirical temporal networks and tune the frequencies in errors in the node identities or time stamps of contacts. We find that for both these spreading scenarios, the maximal misprediction of both the outbreak size and time to extinction follows an stretched exponential convergence as a function of the error frequency. We furthermore determine the temporal-network structural factors influencing the parameters of this convergence.
Intrasplicing - Analysis of Long Intron Sequences

We propose a new model for the splicing of long introns, which we call intrasplicing. The basic idea of this model is that the splicing of long introns may be facilitated by the splicing of inner parts of the intron prior to the splicing of the long intron itself. Since long introns have up to about 100,000 bases, this model seems to be a likely explanation of their splicing. To investigate the possibility of this model, we develop a new computational method for the analysis of DNA sequences with respect to splicing. We analyze the genomic sequence of four species with our method and derive several results indicating that intrasplicing may be an appropriate model for the splicing of at least part of the long intron sequences.
Phase guided profiling for fast cache modeling

Statistical cache models are powerful tools for understanding application behavior as a function of cache allocation. However, previous techniques have modeled only the average application behavior, which hides the effect of program variations over time. Without detailed time-based information, transient behavior, such as exceeding bandwidth or cache capacity, may be missed. Yet these events, while short, often play a disproportionate role and are critical to understanding program behavior. In this work we extend earlier techniques to incorporate program phase information when collecting runtime profiling data. This allows us to model an application's cache miss ratio as a function of its cache allocation over time. To reduce overhead and improve accuracy we use online phase detection and phase-guided profiling. The phase-guided profiling reduces overhead by more intelligently selecting portions of the application to sample, while accuracy is improved by combining samples from different instances of the same phase. The result is a new technique that accurately models the time-varying behavior of an application's miss ratio as a function of its cache allocation on modern hardware. By leveraging phase-guided profiling, this work both improves on the accuracy of previous techniques and reduces the overhead.
β-Cell Uncoupling Protein 2 Regulates Reactive Oxygen Species Production, Which Influences Both Insulin and Glucagon Secretion

OBJECTIVE The role of uncoupling protein 2 (UCP2) in pancreatic β-cells is highly debated, partly because of the broad tissue distribution of UCP2 and thus limitations of whole-body UCP2 knockout mouse models. To investigate the function of UCP2 in the β-cell, β-cell–specific UCP2 knockout mice (UCP2BKO) were generated and characterized. RESEARCH DESIGN AND METHODS UCP2BKO mice were generated by crossing loxUCP2 mice with mice expressing rat insulin promoter-driven Cre recombinase. Several in vitro and in vivo parameters were measured, including respiration rate, mitochondrial membrane potential, islet ATP content, reactive oxygen species (ROS) levels, glucose-stimulated insulin secretion (GSIS), glucagon secretion, glucose and insulin tolerance, and plasma hormone levels. RESULTS UCP2BKO β-cells displayed mildly increased glucose-induced mitochondrial membrane hyperpolarization but unchanged rates of uncoupled respiration and islet ATP content. UCP2BKO islets had elevated intracellular ROS levels that associated with enhanced GSIS. Surprisingly, UCP2BKO mice were glucose-intolerant, showing greater α-cell area, higher islet glucagon content, and aberrant ROS-dependent glucagon secretion under high glucose conditions. CONCLUSIONS Using a novel β-cell–specific UCP2KO mouse model, we have shed light on UCP2 function in primary β-cells. UCP2 does not behave as a classical metabolic uncoupler in the β-cell, but has a more prominent role in the regulation of intracellular ROS levels that contribute to GSIS amplification. In addition, β-cell UCP2 contributes to the regulation of intraislet ROS signals that mediate changes in α-cell morphology and glucagon secretion.
A Synthesis Model With Intuitive Control Capabilities for Rolling Sounds

This paper presents a physically inspired source-filter model for rolling sound synthesis. The model, which is suitable for real-time implementation, is based on qualitative and quantitative observations obtained from a physics-based model described in the literature. In the first part of the paper, the physics-based model is presented, followed by a perceptual experiment, whose aim is to identify the perceptually relevant information characterizing the rolling interaction. On the basis of this experiment, we hypothesize that the particular pattern of the interaction force is responsible for the perception of a rolling object. A complete analysis-synthesis scheme of this interaction force is then provided, along with a description of the calibration of the proposed source-filter sound synthesis process. Finally, a mapping strategy for intuitive control of the proposed synthesis process (i.e. size and velocity of the rolling object and roughness of the surface) is proposed and validated by a listening test.
A Simple Step Test to Estimate Cardio-Respiratory Fitness Levels of Rheumatoid Arthritis Patients in a Clinical Setting

Purpose. Exercise tests represent an important clinical tool to evaluate cardio-respiratory fitness and to predict future adverse cardiovascular events. However, use of such tests in patients with rheumatoid arthritis (RA) is relatively uncommon despite well-established evidence that low exercise capacity and high CVD mortality are features of this disease. Therefore, this study examined the validity and reliability of a sub-maximal step test for use in RA patients. Methods. Thirty patients (24 females) (mean ± SD age 53 ± 10 years) performed a sub-maximal step test on two occasions to estimate the criterion measure of cardio-respiratory fitness (V.O2max). A further maximal cycling test provided a direct fitness measurement (V.O2 peak). Pearson correlation coefficient, intraclass correlation coefficient (ICC), Bland and Altman plots, and 95% limits of agreement (LOA) were used to determine the validity and reliability of the sub-maximal test. Results. Estimated V.O2max correlated well with directly measured V.O2 peak (r = 0.79, LoA ±5.7 mL·kg−1 ·min−1). Test-retest reproducibility for estimated V.O2max was excellent (ICC = 0.97, LoA ±2.2 mL·kg−1 ·min−1). Conclusion. The sub-maximal step test studied here represents a valid and reproducible method to estimate cardio-respiratory fitness in RA patients. This test may be useful for the assessment and management of CVD risk in a clinical setting.
User satisfaction-based resource allocation for GEO satellites

In recent work we have introduced and evaluated a fair and dynamic joint Call Admission Control (CAC) and Multiple Access Control (MAC) framework, for Geostationary Orbit (GEO) Satellite Systems, named Fair Predictive Resource Reservation Access (FPRRA). The framework was based on accurate videoconference and data traffic prediction, made decisions after taking into account the provider's revenue, and was shown to be highly efficient. In this paper we enhance FPRRA by talking into account the users' satisfaction for making scheduling decisions and we focus on its evaluation in the absence of accurate MPEG-4 and H.264 video traffic modeling. In addition, we discuss the efficiency of our proposed scheme in comparison to other efficient schemes from the literature.
Intracellular Activation of Human and Rodent Macrophages by Human Lymphokines Encapsulated in Liposomes

Cell‐free culture supernatant fluids rich in macrophage‐activating factor (MAF) activity were obtained from mitogen‐stimulated human peripheral blood mononuclear leukocytes (MNL). The MAF preparations were incubated with human peripheral blood monocytes, rat alveolar macrophages (AM), and mouse peritoneal exudate macrophages (PEM). Only human monocytes were rendered tumorilytic against the human A375 melanoma cells, whereas rat AM or mouse PEM were not activated to lyse their respective syngeneic tumor targets. In contrast, once entrapped in multilamellar liposomes, the human MAF activated the human and rodent macrophages to become tumoricidal. The MAF activity was not due to contamination with endotoxins nor to the presence of gamma interferon. These data suggest that in contrast to macrophage surface receptors, which are species specific, the intracellular target sites for human MAF may cross species barriers.
From citizenship to mobile commons: reflections on the local struggles of undocumented migrants in the city of Malmö, Sweden

Abstract Focusing on undocumented migrants’ struggles over rights and representation in the city of Malmö, Sweden, this article argues that these practices constitute an enactment of citizenship. Drawing on the literature on autonomy of migration, we also explore acts of solidarity beyond the terminology of citizenship through the concept of ‘mobile commons’. We focus on experiences and activist practices of undocumented migrants as well as citizens in Malmö; the development of local guidelines extending limited social benefits rights to undocumented migrants; and a theatre performance involving undocumented actors. The analysis is organised thematically around the tensions emerging from these empirical cases: between visibility and invisibility, mobility and immobility and access to social rights. We argue that encounters between citizens and non-citizens can create situated spaces ‘in between’, by claiming citizen rights and by going beyond the language of citizenship.
The Growth and Valuation of Generic Skills

Using a method for measuring job skills derived from survey data on detailed work activities, we show that between 1997 and 2001 there was a growth in Britain in the utilisation of computing skills, literacy, numeracy, technical know-how, high level communication skills, planning skills, client communication skills, horizontal communication skills, problem-solving and checking skills. Computer skills and high-level communication skills carry positive wage premia, as shown both in cross-section hedonic wage equations and through a within-cohorts change analysis. No part of the gender pay gap can be accounted for by differences in levels of generic skills between men and women.
Long-range looping of a locus control region drives tissue-specific chromatin packing within a multigene cluster

Abstract The relationships of higher order chromatin organization to mammalian gene expression remain incompletely defined. The human Growth Hormone (hGH) multigene cluster contains five gene paralogs. These genes are selectively activated in either the pituitary or the placenta by distinct components of a remote locus control region (LCR). Prior studies have revealed that appropriate activation of the placental genes is dependent not only on the actions of the LCR, but also on the multigene composition of the cluster itself. Here, we demonstrate that the hGH LCR ‘loops’ over a distance of 28 kb in primary placental nuclei to make specific contacts with the promoters of the two GH genes in the cluster. This long-range interaction sequesters the GH genes from the three hCS genes which co-assemble into a tightly packed ‘hCS chromatin hub’. Elimination of the long-range looping, via specific deletion of the placental LCR components, triggers a dramatic disruption of the hCS chromatin hub. These data reveal a higher-order structural pathway by which long-range looping from an LCR impacts on local chromatin architecture that is linked to tissue-specific gene regulation within a multigene cluster.