Miracle-dz/UniFAR-FTUs huggingface dataset:
Language, struggle and voice: The Bakhtin/Volosinov writings

About the book: Discourse Theory and Practice is much more than a collection of key classic articles and papers in the field of discourse analysis. The aim of the book is to introduce students to the major figures in the field, and to some of their writings which, combined with the interspersed editorial commentaries, should allow students to understand the key epistemological and methodological issues of discourse theory and practice. The Reader is organized into four coherent parts, namely: Foundations and Building Blocks; Social Interaction; Minds, Selves and Sense-Making; and Culture and Social Relations. Key readings include works by Stuart Hall, Jonathan Potter, David Silverman, Erving Goffman, Teun van Dijk, Derek Edwards and Michael Billig. Chapters introduce the student to each individual and their reading, contextualizing each in terms of their contribution to the field, theoretical standpoint and individual method of doing discourse analysis. The many didactic elements of the book make it ideal as an introduction to the study of discourse for all students of psychology, sociology, linguistics or cultural studies.
Biphasic Regulation of NF-κB Activity Underlies the Pro- and Anti-Inflammatory Actions of Nitric Oxide1

Expression of inducible NO synthase (iNOS) by macrophages is a prerequisite for the production of high output NO, which mediates many bactericidal and tumoricidal actions of these immune cells. The expression of iNOS in mammalian cells is governed predominantly by the transcription factor, NF-κB, which regulates the expression of many host defense proteins. In the present study, we characterize a novel, biphasic effect of NO on NF-κB activity in murine macrophages. This mechanism depends on the local concentration of NO and enables it both to up- and down-regulate the expression of host defense proteins including iNOS, cyclooxygenase-2, and IL-6. This biphasic activity of NO appears to play a pivotal role in the time course of activation of these immune cells and, by inference, in facilitating the initiation of a defense response against pathogenic stimuli and in its termination to limit tissue damage. This mechanism may explain at least in part the reported ability of NO to act in both a pro- and anti-inflammatory manner.
A Scalable Service Oriented Consistency Model For Cloud Environment (SSOCM)

The cloud computing paradigm is located throughout the world which is not only used to gather the user's information but also allows the user to share the information among them. In the existing systems, they have discussed about trace-based verification and auditing consistency model on the worldwide scale, which is very expensive to achieve strong consistency. Most of the consistency is achieved during security operations in the cloud domain with violations. Consistency is easy to integrate with multiple servers and even to maintain it under replication. In our proposed system, the users can be able to easily assess the quality of the cloud service and also choose a precise consistency service provider (CSP) among various applicants. Here a theoretical study of consistency model in cloud computing is conducted thoroughly. Finally, we devise an algorithm and a theorem such as: Heuristic Auditing Strategy (HAS) along with the Consistency, Availability and Partition tolerance (CAP) theorem, where the users can easily assess the best quality of the cloud service and also to choose a right consistency service provider (CSP) among various candidates.
Estimation and compensation of ionospheric delay for SAR interferometry

For spaceborne SAR (Synthetic Aperture Radar) systems, the dispersive effects of the ionosphere on the propagation of the SAR signal can be a significant source of phase error. While at X-band frequencies the effects are small, current and future L-band systems would benefit from ionospheric compensation. We consider two ways to estimate the ionospheric delay in SAR signals and evaluate them on L-band ALOS-PALSAR acquisitions1.
The potential role for corticosterone in the induction of cleft palate in mice after treatment with a selective NK-1 receptor antagonist, casopitant (GW679769B).

BACKGROUND Casopitant is a potent and selective NK-1 receptor antagonist that has shown clinical efficacy in the prevention of chemotherapy-induced and postoperative-induced nausea and vomiting. METHODS In an embryo-fetal development study, pregnant mice were given vehicle (sterile water) or doses of 30, 100, or 300 mg/kg/day casopitant on Gestation Day (GD) 6 to 15. Fetuses were evaluated for external, visceral, and skeletal abnormalities on GD 18. In a follow-on study to investigate casopitant-induced hormonal changes during the developmental period for palate formation, pregnant mice were given vehicle (sterile water) or 300 mg/kg/day casopitant once daily on GD 6 to 13. Blood was collected on GD 13 at various time-points for measurement of plasma adrenocorticotropic hormone and corticosterone (CRT) concentrations. RESULTS There was no evidence of developmental toxicity in mice at 30 or 100 mg/kg/day but 9% of fetuses at 300 mg/kg/day had cleft palate. Mice are sensitive to glucocorticoid-induced cleft palates, and NK-1 antagonists are known to modulate the hypothalamic-pituitary-adrenal axis leading to increases in corticosterone. On GD 13, mean plasma adrenocorticotropic hormone levels at 300 mg/kg/day were elevated by approximately twofold from vehicle-treated levels at 1 hr post-dose and mean plasma CRT levels were elevated by 3, 5, and 10-fold at 0.5, 1, and 2 hr post-dose, respectively. CONCLUSIONS The increased level of CRT was in the range previously shown in the literature to cause cleft palates in mice and was likely the underlying mechanism behind casopitant-induced cleft palate in mice.
Social Network-based Trust in Prioritized Default Logic

A drawback of traditional default logic is that there is no general mechanism for preferring one default rule over another. To remedy this problem, numerous default logics augmented with priority relations have been introduced. In this paper, we show how trust values, derived from web-based social networks, can be used to prioritize defaults. We provide a coupling between the method for computing trust values in social networks and the prioritized Reiter defaults of (Baader & Hollunder 1995), where specificity of terminological concepts is used to prioritize defaults. We compare our approach with specificity-based prioritization, and discuss how the two can be combined. Finally, we show how our approach can be applied to other variants of prioritized default logic.
Statistical Feature Extraction for Fault Locations in Nonintrusive Fault Detection of Low Voltage Distribution Systems

This paper proposes statistical feature extraction methods combined with artificial intelligence (AI) approaches for fault locations in non-intrusive single-line-to-ground fault (SLGF) detection of low voltage distribution systems. The input features of the AI algorithms are extracted using statistical moment transformation for reducing the dimensions of the power signature inputs measured by using non-intrusive fault monitoring (NIFM) techniques. The data required to develop the network are generated by simulating SLGF using the Electromagnetic Transient Program (EMTP) in a test system. To enhance the identification accuracy, these features after normalization are given to AI algorithms for presenting and evaluating in this paper. Different AI techniques are then utilized to compare which identification algorithms are suitable to diagnose the SLGF for various power signatures in a NIFM system. The simulation results show that the proposed method is effective and can identify the fault locations by using non-intrusive monitoring techniques for low voltage distribution systems.
Exploiting Access Control Information in User Profiles to Reconfigure User Equipment

Reconfigurable radio systems allow user terminals to access different communication technologies, without duplication of hardware. To this end, terminals need appropriate software (SW) modules, which, in advanced scenarios, can be downloaded on demand from the network. The network element that provides these modules to the terminals may need to know information about the terminal/user, in order to better adapt the SW modules to user needs and terminal capabilities and to grant only requests coming from authorized users. For this reason, such network element needs to access user profile information. In this paper, we propose a distributed approach to retrieve users profile information that does not require the mandatory presence of a public network operator. The goal of this mechanism is to allow a suitably appointed entity to retrieve all the needed information, related to the user/terminal from a suitable location/server in the network, given some information provided by the terminal itself. Our approach is based on the "Dataweb" paradigm, under standardization in the Oasis consortium
Strategic polymorphism requires just two combinators!

textabstractIn previous work, we introduced the notion of functional strategies: first-class generic functions that can traverse terms of any type while mixing uniform and type-specific behaviour. Functional strategies transpose the notion of term rewriting strategies (with coverage of traversal) to the functional programming paradigm. Meanwhile, a number of Haskell-based models and combinator suites were proposed to support generic programming with functional strategies. In the present paper, we provide a compact and matured reconstruction of functional strategies. We capture strategic polymorphism by just two primitive combinators. This is done without commitment to a specific functional language. We analyse the design space for implementational models of functional strategies. For completeness, we also provide an operational reference model for implementing functional strategies (in Haskell). We demonstrate the generality of our approach by reconstructing representative fragments of the Strafunski library for functional strategies.
Inequalities in premature death from colorectal cancer by state.

PURPOSE Although disparities in colorectal cancer (CRC) with regard to race, socioeconomic status, and geography are well documented, the extent to which these factors contribute to premature death resulting from CRC nationwide and by state is unknown. PATIENTS AND METHODS We calculated age-standardized CRC death rates for three broad educational categories as a marker of socioeconomic status by race/ethnicity and state among individuals age 25 to 64 years from 2008 through 2010. We also calculated the proportion of premature death resulting from CRC that could potentially be averted in each state by applying the average death rate for the five states with the lowest rates among the most educated whites (Connecticut, North Dakota, Utah, Vermont, and Wisconsin) to all populations. RESULTS Compared with those with the most education, those with the least education had significantly higher CRC death rates in virtually all states for each racial/ethnic group. For example, rate ratios ranged from 1.15 (95% CI, 0.66 to 2.01) in Delaware to 3.18 (95% CI, 2.01 to 5.05) in New Mexico among whites. Overall, half the premature deaths resulting from CRC that occurred nationwide from 2008 through 2010, or 7,690 deaths annually, would have been avoided if everyone had experienced the lowest death rates of the most educated whites. More premature deaths could be averted in southern states (60% to 70%) than in northern and western states (30% to 40%). Restricting the analyses to persons age 50 to 64 years, for whom CRC screening is recommended, resulted in similar findings. CONCLUSION The majority of premature deaths from CRC in southern states and half these deaths nationwide are due to racial/ethnic, socioeconomic, and geographic inequalities.
Measurement of Synchronous Machine Parameters by a Modified Frequency Response Method - Part II: Measured Results

De Mello and Hannett [1] have proposed a theoretical method for determining the operational inductances of a synchronous machine at low values of generator speeds. Eitelberg and Harley [2] extended these ideas to obtain the inductances and time constants from the Ld(j2w), Lq(j2w) curves by a numerical curve fitting procedure. Part I [3] of this paper broadens these ideas [1-2] by proposing an improved MODIFIED data-processing method which avoids the tedious integration of the d,q axes flux linkages [1]. Part II continues by performing a line-to-line short-circuit test on a 3 kVA, 220 V microalternator at different speeds covering the range which is of interest to subsynchronous resonance (SSR) studies [4]. Measured results illustrate the practical feasibility of this proposed frequency response method [1-3]. Practical problems associated with this test are also mentioned.
OpenMP Application in TM-based Parallel Program

To solve the synchronization problems in the parallel programming, such as dead lock, priority inversion and convoy, the concept of transactional memory(TM) had been introduced. In this paper, some basic concepts about TM are presented at first, and several key implementation technologies are analyzed. Then some typical TM systems are introduced in detail. Finally, the examples using Open TM or Intel C++ STM Compiler Prototype Edition which are the extensions of Open are given.
Choosing Between Graph Databases and RDF Engines for Consuming and Mining Linked Data

Graphs naturally represent Linked Data and implementations of graph-based tasks are required not only for data consumption, but also for mining patterns among links. Despite efficient graph-based algorithms and engines have been implemented, there is no clear understanding of how these solutions may behave on Linked Data. We evaluate both general purpose graph database and state-of-the-art RDF engines, and our experimental results reveal characteristics of linked datasets and graph-based tasks that may affect their performance. These results can be considered as a further step for solving the problem of choosing between graph databases to consume and mine Linked Data.
A Decentralized Approach for Detecting Dynamically Changing Diffuse Event Sources in Noisy WSN Environments

Localizing dynamically changing diffuse event sources in real environments is still an open problem in Wireless Sensor Networks (WSN). The dynamism of the environment, the energy limitations of the sensors, and the noise associated to the sensor's measurements is a challenge that a realistic solution has to deal with. In this paper we propose a decentralized approach to detect diffuse event sources in dynamic and noisy environments, using a Wireless Sensor Network infrastructure and following a gradient-based strategy.
Crawling is associated with mental rotation ability by 9‐month‐old infants.

The present experiment examined whether 9-month-old infants’ mental rotation ability was related to their crawling ability. Forty-eight 9-month-old infants were tested; half of them crawled for 7.1 weeks on average. Infants were habituated to a video of a simplified Shepard–Metzler object rotating back and forth through a 240° angle around the longitudinal axis of the object. Infants were tested with videos of the same object rotating through the previously unseen 120° angle and with the mirror image of that display. The results showed that the crawlers looked significantly longer at the mirror object than at the familiar object. The results support the interpretation that crawling experience is associated with 9-month-old infants’ mental rotation ability.
Molecular Analysis of Group A Streptococcus Type emm18 Isolates Temporally Associated with Acute Rheumatic Fever Outbreaks in Salt Lake City, Utah

ABSTRACT Acute rheumatic fever (ARF) and subsequent rheumatic heart disease are rare but serious sequelae of group A Streptococcus (GAS) infections in most western countries. Salt Lake City (SLC), Utah, and the surrounding intermountain region experienced a resurgence of ARF in 1985 which has persisted. The largest numbers of cases were encountered in 1985-1986 and in 1997-1998. Organisms with a mucoid colony phenotype when grown on blood agar plates were temporally associated with the higher incidence of ARF. To develop an understanding of the molecular population genetic structure of GAS strains associated with ARF in the SLC region, 964 mucoid and nonmucoid pharyngeal isolates recovered in SLC from 1984 to 1999 were studied by sequencing the emm gene. Isolates with an emm18 allele were further characterized by sequencing the spa, covR, and covS genes. Peak periods of ARF were associated with GAS isolates possessing an emm18 allele encoding the protein found in serotype M18 isolates. Among the serotype M18 isolates, the difference in the number of C repeats produced three size variants. Variation was limited in spa, a gene that encodes a streptococcal protective antigen, and covR and covS, genes that encode a two-component regulatory system that, when inactivated, results in a mucoid phenotype and enhanced virulence in mouse infection models. Pulsed-field gel electrophoresis showed a single restriction profile for serotype M18 organisms isolated during both peak periods of ARF. In SLC, the incidence of ARF coresurged with the occurrence of GAS serotype M18 isolates that have very restricted genetic variation.
Ad Hoc Networks with Topology-Transparent Scheduling Schemes: Scaling Laws and Capacity/Delay Tradeoffs

In this paper we investigate the limiting properties, in terms of capacity and delay, of an ad hoc network employing a topology-transparent scheduling scheme. In particular, we focus on Time-Spread Multiple Access (TSMA) protocols, which are able to offer, in a distributed fashion, a deterministic upper bound on the access delay. The analysis is based on some asymptotic (focusing) properties of geometric random graphs. The analytical framework is applied to both static and mobile networks. The obtained results are compared with the results present in the literature for the case of an optimum (centralized) scheduling scheme.
Availability and Utilization of Amino Acids for Growing Pigs

A considerable amount of research has been undertaken to develop rapid techniques for determining the availability of amino acids. However, little progress has been made in recent years. This in part reflects the difficulty of the field, a decline in research activity and a focus of attention on digestive physiology rather than on amino acid utilization. As a result, the development of a rapid assay to predict amino acid availability remains as elusive as ever. This review concentrates on the assessment of availability with growth assays, and the relationship between the ileal digestibility and availability of amino acids. The potential of new techniques for assessing availability is examined.
Change in Femoral Neck Anteversion Relative to the Retrocondylar Coordinate System and Computed Tomography Axial Plane

In the present study, we aimed to verify the discrepancies in the measured femoral neck anteversion (FNA) values relative to the retrocondylar plane and computed tomography plane by using computer simulation. We observed that the measured FNA values increased with an increase of each degree of extension and adduction. Moreover, in cases where the neck shaft angle was larger, the measured FNA values tended to increase more. The maximum discrepancy between the true value and measured value was 15.8°, whereas the largest difference between the maximum discrepancy and minimum discrepancy of the fixed neck shaft angle and FNA was 25.8°. In cases where the femur has a high neck shaft angle (valgus hip) and/or high anteversion, it is likely that the measured value is smaller than the actual value. Hence, it is essential to carefully consider the discrepancy of the measured value when the FNA is measured from the CT axial plane without any correction according to the retrocondylar plane.
The genealogical science : the search for Jewish origins and the politics of epistemology

The Genealogical Science analyzes the scientific work and social implications of the flourishing field of genetic history. A biological discipline that relies on genetic data in order to reconstruct the geographic origins of contemporary populations - their histories of migration and genealogical connections to other present-day groups - this historical science is garnering ever more credibility and social reach, in large part due to a growing industry in ancestry testing. In this book, Nadia Abu El-Haj examines genetic history's working assumptions about culture and nature, identity and biology, and the individual and the collective. Through the example of the study of Jewish origins, she explores novel cultural and political practices that are emerging as genetic history's claims and "facts" circulate in the public domain and illustrates how this historical science is intrinsically entangled with cultural imaginations and political commitments. Chronicling late nineteenth- to mid-twentieth-century understandings of race, nature, and culture, she identifies continuities and shifts in scientific claims, institutional contexts, and political worlds in order to show how the meanings of biological difference have changed over time. Through her focus on Jewish origins, she also analyzes genetic history as the latest iteration of a cultural and political practice now over a century old.
The Complexity of Explaining Negative Query Answers in DL-Lite

In order to meet usability requirements, most logic-based applications provide explanation facilities for reasoning services. This holds also for DLs, where research has focused on the explanation of both TBox reasoning and, more recently, query answering. Besides explaining the presence of a tuple in a query answer, it is important to explain also why a given tuple is missing. We address the latter problem for (conjunctive) query answering over DL-Lite ontologies, by adopting abductive reasoning, that is, we look for additions to the ABox that force a given tuple to be in the result. As reasoning tasks we consider existence and recognition of an explanation, and relevance and necessity of a certain assertion for an explanation. We characterize the computational complexity of these problems for subset minimal and cardinality minimal explanations.
Framing Immigration and Integration

This article examines how the salience and framing of political issues in the press and in parliament influence each other and how this salience and framing is influenced by key events outside the media and parliamentary realms. The case focused on is the debate on immigration and integration in the Netherlands between 1995 and 2004. The empirical analyses are based on a computer-assisted content analysis of both parliamentary documents and newspaper articles. Results show bidirectional causal relationships between media and parliament. In the case of salience only long-term influence relationships are found, while framing influences follow an interesting pattern: an increase in the use of a frame in one arena leads to an increase in the other arena only if this frame has already been used regularly in the latter arena. External events have more considerable and consistent impact on issue salience and framing in both arenas.