Miracle-dz/UniFAR-FTUs huggingface dataset:
Deciding Orthogonality in Construction-A Lattices

Lattices are discrete mathematical objects with widespread applications to integer programs as well as modern cryptography. A fundamental problem in both domains is the Closest Vector Problem (popularly known as CVP). It is well-known that CVP can be easily solved in lattices that have an orthogonal basis \emph{if} the orthogonal basis is specified. This motivates the orthogonality decision problem: verify whether a given lattice has an orthogonal basis. Surprisingly, the orthogonality decision problem is not known to be either NP-complete or in P. In this paper, we focus on the orthogonality decision problem for a well-known family of lattices, namely Construction-A lattices. These are lattices of the form $C+q\mathbb{Z}^n$, where $C$ is an error-correcting $q$-ary code, and are studied in communication settings. We provide a complete characterization of lattices obtained from binary and ternary codes using Construction-A that have an orthogonal basis. We use this characterization to give an efficient algorithm to solve the orthogonality decision problem. Our algorithm also finds an orthogonal basis if one exists for this family of lattices. We believe that these results could provide a better understanding of the complexity of the orthogonality decision problem for general lattices.
Self-assembly processes in the prebiotic environment

An important question guiding research on the origin of life concerns the environmental conditions where molecular systems with the properties of life first appeared on the early Earth. An appropriate site would require liquid water, a source of organic compounds, a source of energy to drive polymerization reactions and a process by which the compounds were sufficiently concentrated to undergo physical and chemical interactions. One such site is a geothermal setting, in which organic compounds interact with mineral surfaces to promote self-assembly and polymerization reactions. Here, we report an initial study of two geothermal sites where mixtures of representative organic solutes (amino acids, nucleobases, a fatty acid and glycerol) and phosphate were mixed with high-temperature water in clay-lined pools. Most of the added organics and phosphate were removed from solution with half-times measured in minutes to a few hours. Analysis of the clay, primarily smectite and kaolin, showed that the organics were adsorbed to the mineral surfaces at the acidic pH of the pools, but could subsequently be released in basic solutions. These results help to constrain the range of possible environments for the origin of life. A site conducive to self-assembly of organic solutes would be an aqueous environment relatively low in ionic solutes, at an intermediate temperature range and neutral pH ranges, in which cyclic concentration of the solutes can occur by transient dry intervals.
A Pandemic Influenza H1N1 Live Vaccine Based on Modified Vaccinia Ankara Is Highly Immunogenic and Protects Mice in Active and Passive Immunizations

Background The development of novel influenza vaccines inducing a broad immune response is an important objective. The aim of this study was to evaluate live vaccines which induce both strong humoral and cell-mediated immune responses against the novel human pandemic H1N1 influenza virus, and to show protection in a lethal animal challenge model. Methodology/Principal Findings For this purpose, the hemagglutinin (HA) and neuraminidase (NA) genes of the influenza A/California/07/2009 (H1N1) strain (CA/07) were inserted into the replication-deficient modified vaccinia Ankara (MVA) virus - a safe poxviral live vector – resulting in MVA-H1-Ca and MVA-N1-Ca vectors. These live vaccines, together with an inactivated whole virus vaccine, were assessed in a lung infection model using immune competent Balb/c mice, and in a lethal challenge model using severe combined immunodeficient (SCID) mice after passive serum transfer from immunized mice. Balb/c mice vaccinated with the MVA-H1-Ca virus or the inactivated vaccine were fully protected from lung infection after challenge with the influenza H1N1 wild-type strain, while the neuraminidase virus MVA-N1-Ca induced only partial protection. The live vaccines were already protective after a single dose and induced substantial amounts of neutralizing antibodies and of interferon-γ-secreting (IFN-γ) CD4- and CD8 T-cells in lungs and spleens. In the lungs, a rapid increase of HA-specific CD4- and CD8 T cells was observed in vaccinated mice shortly after challenge with influenza swine flu virus, which probably contributes to the strong inhibition of pulmonary viral replication observed. In addition, passive transfer of antisera raised in MVA-H1-Ca vaccinated immune-competent mice protected SCID mice from lethal challenge with the CA/07 wild-type virus. Conclusions/Significance The non-replicating MVA-based H1N1 live vaccines induce a broad protective immune response and are promising vaccine candidates for pandemic influenza.
Immediate release of a nitric oxide-like factor from bovine aortic endothelial cells by Escherichia coli lipopolysaccharide

Incubation of human washed platelets with bovine aortic endothelial cells (ECs) treated with indomethacin resulted in an inhibition of thrombin-induced platelet aggregation that was dependent on the number of ECs added. Preincubation of ECs with Escherichia coli lipopolysaccharide (LPS; 0.5-2.0 micrograms/ml) for 1 min significantly enhanced their inhibitory activity. This effect was potentiated by superoxide dismutase (60 units/ml) and reversed by oxyhemoglobin (5-10 microM), indicating that the inhibition was due to the release of endothelium-derived relaxing factor (nitric oxide). When the ECs were pretreated with NG-monomethyl-L-arginine (30-300 microM) before LPS, the antiaggregatory activity was strongly reduced. The reduction of activity by NG-monomethyl-L-arginine was reversed by L-arginine (100 microM) but not by D-arginine (100 microM). Under similar conditions, LPS also enhanced the antiaggregatory activity of ECs grown on beads. The immediate enhancement by LPS of the release of endothelium-derived relaxing factor from endothelial cells may contribute to the rapid fall in blood pressure associated with endotoxin shock in vivo.
Do Parties Know That “Women Win”? Party Leader Beliefs about Women's Electoral Chances

Women's groups emphasize the view that women are viable candidates in American politics with the popular slogan “when women run, women win. ” What do party leaders believe about women's electoral chances? Do parties know that “women win”? In an analysis of state legislative election results, I find few gender differences in candidates' vote share and success rates—two widely used measures of the status of women candidates. Yet I find that many party leaders report that one gender has an electoral advantage. These party leader perceptions are related to the objective measures of women's electoral success to some extent. However, most analyses reveal a gap between elite perceptions and objective measures of women's status as candidates. This disjuncture suggests that scholars may have overestimated the extent of party leader and voter support for women.I thank Timothy Frye, Claudine Gay, Kathryn Pearson, Beth Reingold, Lisa Sanbonmatsu, the editors, and the anonymous reviewers for helpful comments. I also thank Nanaho Hanada, Heidi Bruns, Lyndsey Young, Huma Khan, and Tina Pierce for research assistance.
Efficient Distributed Detection of Node Replication Attacks in Sensor Networks

Wireless sensor nodes lack hardware support for tamper- resistance and are often deployed in unattended environments, thus leaving them vulnerable to capture and compromise by an adversary. In a node replication attack, an adversary uses the credentials of a compromised node to surreptitiously introduce replicas of that node into the network. These replicas are then used to launch a variety of attacks that subvert the goal of the sensor application, and the operation of the underlying protocols. We present a novel distributed approach called Localized Multicast for detecting node replication attacks. We evaluate the performance and security of our approach both theoretically and via simulation. Our results show that Localized Multicast is more efficient than previous distributed approaches in terms of communication and memory costs. Further, in our approach, the probability of detecting node replicas is much higher than that achieved in previous distributed protocols.
Fas-Related Apoptosis of Peritoneal Fluid Macrophages in Endometriosis Patients: Understanding the Disease

Recent studies of the peritoneal cavity environment in endometriosis demonstrate quantitative and qualitative changes in the cells responsible for cell-mediated immunity. Such changes may have led to disturbances in the surveillance, recognition, and destruction of misplaced endometrial cells and might have, in fact, brought about the disease. The aim of the study was to assess CD95 (Fas) expression on (activated) peritoneal fluid (PF) macrophages, as well as to ascertain soluble Fas (sFas) concentration in the PF of endometriosis patients, as compared to the nonendometriotic group. The concentration of leukocytes in the PF, the percentage of cells expressing CD45+/CD14+, and the percentage of PF macrophages expressing the HLA-DR antigen were significantly higher in patients with stages I and II endometriosis. The percentage of Fas- (CD95+-) expressing macrophages was significantly higher in all stages of the disease, in comparison with controls. Moreover, the concentration of sFas in the PF of patients with moderate and severe endometriosis was significantly higher, as compared to the reference group. The high number of immune cells in PF in early stage endometriosis and their increased susceptibility to apoptosis confirm the role of the impaired peritoneal environment and immune defects in the development and progression of the disease.
Arguing against absent arguables: organizing audience participation in political discourse

Based on the analysis of interaction during a public meeting, this article considers how people argue in sequential environments where direct interaction is precluded. The meeting in question was organized so the turns of audience speakers and local authority representatives were produced during different periods; initial actions and their oppositions, counters, etc., could be separated by anything up to 25 minutes. The article describes how speakers adapt their language practices to construct arguing turns and series of action-opposition pairs in social settings thus organized.
Polish Workers in Ireland

Since 1990, Ireland has experienced rapid economic growth and a corresponding increase in immigrant workers, particularly of Polish origin. On the basis of survey evidence, the relatively low level of unionization among Polish workers is examined. Although attitudes to trade unions are positive, there is a high level of satisfaction generally with work, pay, and conditions among Polish immigrant workers. A sense of injustice or grievance appears to be largely absent with regard to either pay and working conditions or their treatment by employers, supervisors, and immediate Irish workers. The general picture is one of a relatively contented proletariat.
Conflict, Emotion, and Personal Strain among Family Caregivers.

The purpose of this research was to examine the influence of interpersonal conflict, affection, and distress concerning dependency and caregiving satisfactions in predicting caregiver strain and negative emotion. The sample consisted of 98 family caregivers responding to a self-administered questionnaire. Results from two separate stepwise multiple regressions noted that interpersonal conflict between the elder and caregiver predicted the greatest amount of variance in both caregiver strain and negative affect. The implications of the findings for family therapists, family life educators, and gerontologists working with the elderly and their family caregivers are discussed.
k-connectivity in Random Kout graphs intersecting

We investigate k-connectivity in secure wireless sensor networks under the random pairwise key predistribution scheme with unreliable links. With wireless communication links modeled as independent on-off channels, this amounts to analyzing a random graph model formed by intersecting a random K-out graph and an Erdős-Rényi graph. We present conditions on how to scale the parameters of this intersection model so that the resulting graph is k-connected with probability approaching to one (resp. zero) as the number of nodes gets large. The resulting zero-one law is shown to improve and sharpen the previous result on the 1-connectivity of the same model. We also provide numerical results to support our analysis.
HF radar comparisons with moored estimates of current speed and direction: Expected differences and implications

The validation of estimates of ocean surface current speed and direction from high-frequency (HF) Doppler radars can be obtained through comparisons with measurements from moored near-surface current meters, acoustic Doppler current profilers, or drifters. Expected differences between current meter (CM) and HF radar estimates of ocean surface vector currents depend on numerous sources of errors and differences such as instrument and sensor limitations, sampling characteristics, mooring response, and geophysical variability. We classify these sources of errors and differences as being associated exclusively with the current meter, as being associated exclusively with the HF radar, or as a result of differing methodologies in which current meters and HF radars sample the spatially and temporally varying ocean surface current vector field. In this latter context we consider three geophysical processes, namely, the Stokes drift, Ekman drift, and baroclinicity, which contribute to the differences between surface and near- surface vector current measurements. The performance of the HF radar is evaluated on the basis of these expected differences. Vector currents were collected during the High Resolution Remote Sensing Experiment II off the coast of Cape Hatteras, North Carolina, in June 1993. The results of this analysis suggest that 40%-60% of the observed differences between near-surface CM and HF radar velocity measurements can be explained in terms of contributions from instrument noise, collocation and concurrence differences, and geophysical processes. The rms magnitude difference ranged from 11 to 20 cm s -1 at the four mooring sites. The average angular difference ranged between 15 o and 25 o of which about 10 o is attributed to the directional error of the radar current vector estimates due to the alignment of the radial beams.
A virtual vulnerability validation platform based on KVM

Vulnerability testing platform may be time consuming and inconvenient to establish for that it greatly depends on tester's testing ability and knowledge of network security architecture. Virtual vulnerability validation platform (VVVP) is proposed in this paper to deal with this dilemma. Key technologies such as OS image customization and KVM are analyzed. VVVP model has two main parts, the OS image customization technology which is utilized to have those needed software files packed into the OS image, and the KVM (Kernel-based Virtual Machine) which is used for improving operation efficiency. The results show that VVVP is very efficient for building an environment.
Combined Magnetic Resonance Imaging and Single-Photon Emission Tomography Scanning in the Discrimination of Alzheimer's Disease From Age-Matched Controls

Objective: To compare the utility of temporal lobe magnetic resonance imaging (MRI) and single-photon emission tomography (SPET) scanning in discriminating between subjects with Alzheimer's disease (AD) and age-matched controls. Methods: Thirty subjects with NINCDS-ADRDA AD (23 probable AD, 5 possible AD, 2 definite AD) and 22 age- and sex-matched controls underwent T1-weighted coronal MRI scanning (0.3 T) and technetium 99m-HMPAOSPET scanning. MRI scans were analyzed using a digitizer system with volumes of hippocampus, amygdala, entorhinal cortex, parahippocampal gyrus, and whole cerebral cortex calculated. From SPET scans, regional cerebral blood flow (rCBF) was assessed in anterior and posterior frontal, parietal, occipital, and mesial temporal cortex using a region of interest analysis with the cerebellum as a reference area. Results: Using MRI, the areas that best separated groups were left hippocampal and left amygdala volume, resulting in correct classification (patient vs. control) in 79% of cases (sensitivity 77%, specificity 82%). Exactly the same proportion of subjects were correctly classified by SPET, with the most discriminating rCBF changes being left parietal and right posterio frontal. Combining information from both scans improved the proportion of correctly classified subjects in a discriminant function to 90% (sensitivity 93%, specificity 86%, only 2AD and 3 controls misclassified). All AD subjects had abnormalities on MRI and/or SPET (sensitivity for combined examinations 100%), while abnormalities on both MRI and SPET had a positive predictive value of 100% for dementia (including the detection of one control subject who later had dementia). Significant correlations between MRI and SPET measures were seen in control subjects but not in patients. Conclusion: Both 0.3 T MRI and single rotating gamma camera SPET were equally useful in separating AD subjects from age-matched controls, although the combination of both significantly enhanced discrimination. In particular, all AD subjects had abnormalities on either MRI or SPET and both techniques may have an important role in assisting with clinical diagnosis, though replication in other centers and examination of differentiation of AD from other causes of dementia need to be examined.
Effect of Resistance Training on Plasma Nitric Oxide and Asymmetric Dimethylarginine Concentrations in Type I Diabetic Rats

Background: Asymmetric dimethylarginine (ADMA) has a predominant role in progression of some cardiovascular diseases, including diabetes. It interferes with L-arginine in production of nitric oxide (NO) by inhibition of NO synthase. The purpose of this study was to evaluate the effect of resistance training on plasma NO and ADMA concentrations in type 1 diabetic male rats. Methods: Thirty-six male wistar rats were randomly divided into four groups: (1) control; (2) diabetic; (3) diabetic trained, and (4) control trained (n = 9 each). In the trained groups, the animals undertook one training session per day, 3 days/week, for 4 weeks. At the end of experiment, blood samples were taken and the concentrations of plasma glucose, insulin, lipid profile, NO and ADMA concentrations were determined. Results: plasma ADMA concentration showed a significant increase in diabetic rats compare to control group (0.73 ± 0.07 vs. 0.62 ± 0.04 μmol/l; P < 0.05). The plasma ADMA level in the trained diabetic and control were lower than the sedentary groups, although it was not statistically significant. Plasma NO concentration in diabetic group was lower than control (P < 0.05). Resistance training significantly increased plasma NO concentration in diabetic animals (P < 0.05). Conclusion: Elevated ADMA level in diabetic animals can normalize during resistance exercise. Reduced ADMA level and increased NO level following resistance training might improve cardiovascular risk in diabetic subjects.
Anti-social behaviour: Concerns of minority and marginalised Londoners

In the UK there is currently a lot of political and media attention on what has become known as anti-social behaviour (ASB). Concerns about ASB appear to be higher in deprived and/or urban areas. In particular, people living in London are more likely to suffer from ASB. There is undoubtedly real ASB in London; however, this article argues that people will have different expectations of urban living and use of public spaces, resulting in contested notions or tolerances of what is acceptable or anti-social behaviour. This has implications for people’s acceptance of difference or ‘otherness’. With this in mind, evidence is drawn from 10 focus groups with minority and marginalised Londoners. The article argues that our beliefs and expectations of urban living need to be challenged as this is what urban living is all about. Similarly, we should take on board the focus group participants’ assertion that all can be anti-social - rather than focusing on certain groups that ‘don’t fit in’ and entrenching their social exclusion.
Intergroup behaviour, self-stereotyping and the salience of social categories

Recent research (Hogg & Turner, 1985a, b) favours a social identity rather than group cohesiveness analysis of group behaviour and psychological group formation. It is argued that individual behaviour is transformed into group behaviour by the cognitive process of self-categorization, and that the content of the behaviour depends upon the particular social categorization being employed. The present article examines self-categorization theory by experimentally varying sex-category salience for 60 male and 60 female British university students, and monitoring the effects on self-stereotyping (self-description in terms of an individual's situation-specific own-sex stereotype) and other behavioural and evaluative measures of group behaviour. It was predicted that under conditions theoretically expected to accentuate the salience of sex (intersex collective encounter as opposed to intrasex dyadic encounter), self-categorization, self-stereotyping and group behaviour should occur, and that the specific content of this behaviour would be predictable from the nature of the social relations between the sexes. The results revealed that increased salience was associated with self-categorization and self-stereotyping, and that under these conditions males were less ethnocentric and experienced higher self-esteem than females. These findings are consistent with the hypotheses, and thus provide evidence for both self-categorization theory and the related salience hypothesis upon which the experimental operationalization of salience was based. Suggestions are made for further research.
Joint Regression and Ranking for Image Enhancement

Research on automated image enhancement has gained momentum in recent years, partially due to the need for easy-to-use tools for enhancing pictures captured by ubiquitous cameras on mobile devices. Many of the existing leading methods employ machine-learning-based techniques, by which some enhancement parameters for a given image are found by relating the image to the training images with known enhancement parameters. While knowing the structure of the parameter space can facilitate search for the optimal solution, none of the existing methods has explicitly modeled and learned that structure. This paper presents an end-to-end, novel joint regression and ranking approach to model the interaction between desired enhancement parameters and images to be processed, employing a Gaussian process (GP). GP allows searching for ideal parameters using only the image features. The model naturally leads to a ranking technique for comparing images in the induced feature space. Comparative evaluation using the ground-truth based on the MIT-Adobe FiveK dataset plus subjective tests on an additional data-set were used to demonstrate the effectiveness of the proposed approach.
Design of 100Mbps white light LED based visible light communication system

In this paper, a high speed visible light communication transceiver module is designed, and a 100Mbps white light LED based visible light communication system is constructed based on this module. Without using a blue filter, we combined the pre-emphasis technology, modulation technology and the back-end equalization technology to improve the bandwidth and data transmission rate of the visible light communication system effectively. The system has advantages of low cost, low complexity, low power consumption and small transceiver module, which can be practical and industrialized.