Miracle-dz/UniFAR-FTUs huggingface dataset:
Strathprints Institutional Repository (2010) Accurate Angle-of- Arrival Measurement Using Particle Swarm Optimization. Wireless Sensor Networks, 2 (5). Pp. 358-364. Issn 1945-3078 Accurate Angle-of-arrival Measurement Using Particle Swarm Optimization Accurate Angle-of-arrival Measurement Using Part

Strathprints is designed to allow users to access the research output of the University of Strathclyde. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (http://strathprints.strath.ac.uk/) and the content of this paper for research or study, educational, or not-for-profit purposes without prior permission or charge. ABSTRACT As one of the major methods for location positioning, angle-of-arrival (AOA) estimation is a significant technology in radar, sonar, radio astronomy, and mobile communications. AOA measurements can be exploited to locate mobile units, enhance communication efficiency and network capacity, and support location-aided routing, dynamic network management, and many location-based services. In this paper, we propose an algorithm for AOA estimation in colored noise fields and harsh application scenarios. By modeling the unknown noise covariance as a linear combination of known weighting matrices, a maximum likelihood (ML) criterion is established, and a particle swarm optimization (PSO) paradigm is designed to optimize the cost function. Simulation results demonstrate that the paired estimator PSO-ML significantly outperforms other popular techniques and produces superior AOA estimates. I. INTRODUCTION Estimation of the incident signals' directions, or angle of arrival (AOA) estimation, is a fundamental problem in numerous applications such as radar, sonar, radio astronomy, and mobile communications. AOA measurements can locate mobile units, and thus support and enhance location-aided routing, dynamic network planning and management, and different types of location-based services and applications [1]; furthermore, it can improve communication efficiency and network capacity when integrated with adaptive array technology. In general, location estimates of mobile units are derived from two types of measurements: AOA and range. The widely used range estimation models include received signal strength (RSS), time of arrival (TOA) and time difference of arrival (TDOA), where cooperation and synchronization between the transmitter and receiver are required [1]. On the contrary, the AOA model can locate targets in a non-cooperative, stealthy and passive manner, which is highly desirable in military and surveillance applications. The benefits of AOA measurements for location estimation have been widely investigated, and many AOA-alone [2]-[4] and hybrid systems [5]-[8] have been proposed. A chief goal of wireless communication research has long been to enhance the network capacity, data rate and communication performance. In comparison with solutions of
Coordinate activation of lysosomal, Ca 2+-activated and ATP-ubiquitin-dependent proteinases in the unweighted rat soleus muscle.

Nine days of hindlimb suspension resulted in atrophy (55%) and loss of protein (53%) in rat soleus muscle due to a marked elevation in protein breakdown (66%, P < 0.005). To define which proteolytic system(s) contributed to this increase, soleus muscles from unweighted rats were incubated in the presence of proteolytic inhibitors. An increase in lysosomal and Ca 2+-activated proteolysis (254%, P < 0.05) occurred in the atrophying incubated muscles. In agreement with the measurements in vitro, cathepsin B, cathepsins B + L and m-calpain enzyme activities increased by 111%, 92% and 180% (P < 0.005) respectively in the atrophying muscles. Enhanced mRNA levels for these proteinases (P < 0.05 to P < 0.001) paralleled the increased enzyme activities, suggesting a transcriptional regulation of these enzymes. However, the lysosomal and Ca 2+-dependent proteolytic pathways accounted for a minor part of total proteolysis in both control (9%) and unweighted rats (18%). Furthermore the inhibition of these pathways failed to suppress increased protein breakdown in unweighted muscle. Thus a non-lysosomal Ca 2+-independent proteolytic process essentially accounted for the increased proteolysis and subsequent muscle wasting. Increased mRNA levels for ubiquitin, the 14 kDa ubiquitin-conjugating enzyme E2 (involved in the ubiquitylation of protein substrates) and the C2 and C9 subunits of the 20 S proteasome (i.e. the proteolytic core of the 26 S proteasome that degrades ubiquitin conjugates) were observed in the atrophying muscles (P < 0.02 to P < 0.001). Analysis of C9 mRNA in polyribosomes showed equal distribution into both translationally active and inactive mRNA pools, in either unweighted or control rats. These results suggest that increased ATP-ubiquitin-dependent proteolysis is most probably responsible for muscle wasting in the unweighted soleus muscle.
Automated Extraction of Regulated Information Types Using Hyponymy Relations

Requirements analysts can model regulated data practices to identify and reason about risks of non-compliance. If terminology is inconsistent or ambiguous, however, these models and their conclusions will be unreliable. To study this problem, we investigated an approach to automatically construct an information type ontology by identifying information type hyponymy in privacy policies using Tregex patterns. Tregex is a utility to match regular expressions against constituency parse trees, which are hierarchical expressions of natural language clauses, including noun and verb phrases. We discovered the Tregex patterns by applying content analysis to 15 privacy policies from three domains (shopping, telecommunication and social networks) to identify all instances of information type hyponymy. From this dataset, three semantic and four syntactic categories of hyponymy emerged based on category completeness and word-order. Among these, we identified and empirically evaluated 26 Tregex patterns to automate the extraction of hyponyms from privacy policies. The patterns identify information type hypernym-hyponym pairs with an average precision of 0.83 and recall of 0.52 across our dataset of 15 policies.
Book Reviews : Social Support and Health, Sheldon Cohen and S. Leonard Syme, Eds. Academic Press, Orlando, 1984

4. Cohen S, Syme SL (eds): Social Support and Health. Orlando, Academic Press (in press). 5. Broadhead WE, Kaplan BH, James SA, et al: The epidemiological evidence for a relationship between social support and health. Am J Epidemiol 117:521-537, 1983. 6. Kiecott-Glaser JD. Garner W, Speicher C, et al: Effects of Stress on Bio-components of the Cellular Response. Presented at the Society of Behavioral Medicine, Baltimore, March 1983. 7. Wilcox A: Social support, life stress and psychological adjustment: A test of buffering hypothesis. Am J Community Psychol 9(4):371-386, 1981. 8. Antonovsky A: Health Stress and Coping, San Francisco, Jossey Bass, 1979. 9. Minkler M: Applications of social support theory to health education: Implications for work with the elderly. Health Education Quarterly, 8(2), 1981. 10. Gottlieb BH: Social Networks and Social Support. Beverly Hills, Sage Publications, 1981. 11. Langer E: Old Age: An Artifact’? in McGough JL, Kiesler SB (eds): Aging: Biology and Behavior. Orlando, Academic Press, 1981. 12. Seeman M, Anderson CS: Alienation and alcohol: The role of work, mastery and community in Drinking behavior. Am Sociol Rev 48, 1983.
The effect of nursing-implemented sedation on the duration of mechanical ventilation in the ICU.

BACKGROUND We aimed to compare the effects of nursing-implemented sedation protocol and daily interruption of sedative infusion on the duration of mechanical ventilation. METHODS Fifty patients receiving mechanical ventilation and requiring sedation in the intensive care unit (ICU) were randomly selected to receive either daily interruption of sedative infusion (Group P, n=25) or nursing-implemented sedation protocol (Group N, n=25). In Group P, daily interruption of sedative infusions without any sedation protocol was performed by physicians. In Group N, nursing-implemented sedation protocol prepared by physicians was applied. In this group, if the ideal level of sedation was not achieved, information was given by nurses to physicians. Patients in each group were compared according to demographic variables, duration of mechanical ventilation and sedation, length of stay in the ICU, and mortality. RESULTS Demographic variables, length of stay in the ICU and mortality were similar between the two groups. In Group P, duration of sedation and mechanical ventilation were significantly shorter than in Group N. Light sedation was seen more frequently in Group P and deep sedation in Group N. CONCLUSION Daily interruption of sedative infusions provided shorter duration of sedation and mechanical ventilation than nursing-implemented sedation with protocol. Although nurse-implemented sedation protocol has been found acceptable, if the number of nurses is lacking, we believe the nurse-implemented sedation protocol should not be applied.
A highly-integrated tri-band/quad-mode SiGe BiCMOS RF-to-baseband receiver for wireless CDMA/WCDMA/AMPS applications with GPS capability

A 0.5 μm SiGe BiCMOS single-chip receiver integrates three front-ends (LNA, RF-to-IF mixer, VGA) for the cellular, PCS/IMT and GPS frequency bands, a shared I/Q demodulator, IF VCO, and UHF LO buffers. It has 2.0 dB NF and -0.6 dBm IIP3 in the cellular CDMA mode and 2.3 dB NF and -7 dBm IIP3 in the PCS mode with <150 mW at 3 V.
Micromycetes as toxin producers detected on raw material of plant origin grown under various conditions in Lithuania

In 2003–2006, micromycetes – potential producers of mycotoxins – were detected and their taxonomic dependence as well as ability to produce toxins under various growth conditions were assessed. Accumulation regularities of toxin-producing micromycetes in vegetables, fruit, berries, herbs, grain, seeds and their products were found out. Factors determining fungal abilities to produce various toxins and excrete them into food raw material are discussed. Potential producers of toxic secondary metabolites were detected during processing of food raw material of plant origin. Such micromycetes were Alternaria alternata, A. citri, A. cucumerina, Aspergillus candidus, A. clavatus, A. flavus, A. fumigatus, A. niger, A. ochraceus, A. parasiticus, A. sulphureus, A. ustus, A. versicolor, Cylindrocarpon destructans, Drechslera sorokiniana, Fusarium culmorum, F. equiseti, F. graminearum, F. moniliforme, F. oxysporum, F. poae, F. proliferatum, F. solani, F. sporotrichioides, Penicillium aurantiogriseum, P. chrysogenum, P. claviforme, P. clavigerum, P. commune, P. corylophilum, P. crustosum, P. expansum, P. funiculosum, P. griseofulvum, P. palitans, P. spinulosum, P. variabile, P. viridicatum. The toxin-producing ability of fungi isolated from food raw material was tested and primary screening of active producers was conducted. The taxonomic position of strains of some toxicogenic fungi using molecular genetic methods was revised. The diversity and peculiarities of isolated micromycetes in relation to substrate specificity, climate conditions and the environment, particularly dustiness, moisture and temperature, are pointed out.
FinePar: Irregularity-aware fine-grained workload partitioning on integrated architectures

The integrated architecture that features both CPU and GPU on the same die is an emerging and promising architecture for fine-grained CPU-GPU collaboration. However, the integration also brings forward several programming and system optimization challenges, especially for irregular applications. The complex interplay between heterogeneity and irregularity leads to very low processor utilization of running irregular applications on integrated architectures. Furthermore, fine-grained co-processing on the CPU and GPU is still an open problem. Particularly, in this paper, we show that the previous workload partitioning for CPU-GPU coprocessing is far from ideal in terms of resource utilization and performance. To solve this problem, we propose a system software named FinePar, which considers architectural differences of the CPU and GPU and leverages finegrained collaboration enabled by integrated architectures. Through irregularity-aware performance modeling and online auto-tuning, FinePar partitions irregular workloads and achieves both device-level and thread-level load balance. We evaluate FinePar with 8 irregular applications on an AMD integrated architecture and compare it with state-of-the-art partitioning approaches. Results show that FinePar demonstrates better resource utilization and achieves an average of 1.38X speedup over the optimal coarse-grained partitioning method.
Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks

Many new applications are enabled by combining a multi-camera system with a Time-of-Flight (ToF) camera, which is able to simultaneously record intensity and depth images. Classical approaches for self-calibration of a multi-camera system fail to calibrate such a system due to the very different image modalities. In addition, the typical environments of multi-camera systems are man-made and consist primary of only low textured objects. However, at the same time they satisfy the Manhattan-world assumption. We formulate the multi-modal sensor network calibration as a Maximum a Posteriori (MAP) problem and solve it by minimizing the corresponding energy function. First we estimate two separate 3D reconstructions of the environment: one using the pan-tilt unit mounted ToF camera and one using the multi-camera system. We exploit the Manhattan-world assumption and estimate multiple initial calibration hypotheses by registering the three dominant orientations of planes. These hypotheses are used as prior knowledge of a subsequent MAP estimation aiming to align edges that are parallel to these dominant directions. To our knowledge, this is the first self-calibration approach that is able to calibrate a ToF camera with a multi-camera system. Quantitative experiments on real data demonstrate the high accuracy of our approach.
Acquiring phenomena at the syntax/semantics interface in L2 Spanish : The personal preposition a

Recent second language (L2) acquisition research has proposed that purely syntactic features are easier to acquire and less vulnerable than ones involving the interfaces (Sorace, 2004; Serratrice et al. 2004). The present paper addresses this issue by investigating the acquisition of the Spanish personal preposition a in English L2 learners of Spanish. The distribution of a in direct object NPs relates to the specificity/definiteness of the NP, the animacy/agentivity of the subject, and verb semantics (Torrego 1998; Zagona 2002). 33 English L2 learners of Spanish of different proficiency levels, and 14 Spanish controls participated in an acceptability judgement task. The results showed significant differences between native speakers and L2 learners of all proficiency levels, who performed at chance, and support the claim that L2 learners have difficulties acquiring structures involving the syntax/semantics interface. However, the advanced learners showed sensitivity to the least complex condition providing evidence that interface phenomena may be acquirable.
Exploring literacy in Social Work Education: a social practices approach to student writing

The literacy of social workers has been highlighted as a concern by the strengthening of both entry and assessment literacy requirements of the new social work degree in the United Kingdom. This paper challenges the traditional perception of student writing, the specific focus of this paper, as being associated with basic literacy and skill acquisition, by presenting a ‘social practices’ approach to student writing in social work education. Whilst in no way contradicting the belief that literacy is central to professional social work competence, and thus an essential aspect of social work education, this approach provides a social and cultural framework for educators to reflect upon what it means for students to engage in writing in social work courses. The paper focuses in particular on meaning making experiences of non‐traditional (including Black and Minority Ethnic) students engaging in academic writing. The paper is based upon research which explores the experiences of a socially and ethnically diverse group of social work students engaged in academic writing on a diploma in social work programme. Whilst representing work in development, it suggests that the recognition of issues such as language history and identity are of significant importance for social work programmes striving to ensure that non‐traditional students are not disadvantaged in their academic writing.
inGuide — Interactive Guide

This paper describes the inGuide - Interactive Guide application, a context-aware tourist guide that is presently available to Android smartphones. This application takes advantage of technologies such as Augmented Reality and geolocation in order to provide contextual information in a simple and interactive way. inGuide is a modular application which provides a package management system avoiding the need for a different version of the application for each city. Simultaneously it also surpasses one of the major hurdles related with mobile tourist applications, which is assuming always-on data connection and high speed network access.
Dose Response of MTLN3 Cells to Serial Dilutions of Arsenic Trioxide and Ionizing Radiation

MTLn3 cells derived from mouse mammary epithelium are known to be highly malignant and are resistant to both radio- and chemo-therapy. We exposed MTLn3 cells to various doses of inorganic Arsenic trioxide (As2O3) in combination with ionizing radiation. Cells were treated with a series of As2O3 concentrations ranging from 20 μM to 1.22 nM for 8 hour, 24 hour and 48 hour periods. Post-treated cell proliferation was quantified by measuring mitochondrial activity and DNA analysis. Cells exposed to radiation and As2O3 at concentration greater than 1.25 μM showed apoptosis and radiations alone treated cells were statistically not different from the control. Hormesis was observed for As2O3 concentrations in the range of 0.078 μM to 0.625 μM while the combined chemo and radiation treatments of the cells did not affect the hormetic effect. We have demonstrated that As2O3 (in the presence and absence of ionizing radiation) in specific low concentrations induced apoptosis in the otherwise chemoresistant cancer cells. This low concentration-mediated cell death is immediately followed by a surge in cell survival. Low dosing dosimetry is highly desirable in metronomic therapy however, it has a narrow window since necrosis, hormesis, apoptosis and other dose-dependent biological processes take place in this region. Further quantifiable dosimetry is highly desired for routine clinical practice.
Improved Wi-Fi Backscatter System for Multi-to-Multi Communication

: The conventional Wi-Fi back scatter system can only process one-to-one communication between the Wi-Fi reader and the Wi-Fi tag. For improvement of throughput of the conventional system, this paper proposes the multi-to-multi communication system. In the proposed system, the interference by the multi-to-multi communication is effectively cancelled by the orthogonal multiple access based on the identification code of the tag. Although the overhead is generated by the procedure for the multi-to-multi communication, because the procedure is processed by the Wi-Fi protocol, the overhead is insignificant for the entire communication procedure. From the numerical results, it is confirmed that the proposed system has nearly proportional increased throughput in according to the number of the tag that simultaneously participates in communication.
Statistical Methods for Detecting Anomalous Voting Patterns: A Case Study

Abstract : Both observational and laboratory studies suggest that human beings find it difficult to fabricate truly random numbers. Any sufficiently large set of nominally random number sequences, irrespective of its source, may be analyzed to determine if the criterion of randomness is satisfied. Statistical methods have, therefore, been applied forensically to detect anomalies in accounting data, scientific data sets, and voting data. As a case study, we apply methods developed by Beber and Scacco to analyze polling station counts in Helmand province for the four leading candidates in the 2009 Afghanistan presidential election. In this election, there were allegations of extensive electoral fraud, and nineteen percent of all votes cast were ultimately discarded. The pattern of statistical anomalies present in the raw polling station data is consistent with the findings of the post-election audit conducted by the Afghanistan Electoral Complaints Commission. The strengths and weaknesses of statistical methods for anomaly detection are discussed, as are possible motives for perpetuating voter fraud in elections that pose little uncertainty in projected outcomes.
Post-Mortem of a Zombie: Conficker Cleanup After Six Years

Research on botnet mitigation has focused predominantly on methods to technically disrupt the command-and-control infrastructure. Much less is known about the effectiveness of large-scale efforts to clean up infected machines. We analyze longitudinal data from the sinkhole of Conficker, one the largest botnets ever seen, to assess the impact of what has been emerging as a best practice: national anti-botnet initiatives that support large-scale cleanup of end user machines. It has been six years since the Conficker botnet was sinkholed. The attackers have abandoned it. Still, nearly a million machines remain infected. Conficker provides us with a unique opportunity to estimate cleanup rates, because there are relatively few interfering factors at work. This paper is the first to propose a systematic approach to transform noisy sinkhole data into comparative infection metrics and normalized estimates of cleanup rates. We compare the growth, peak, and decay of Conficker across countries. We find that institutional differences, such as ICT development or unlicensed software use, explain much of the variance, while the national anti-botnet centers have had no visible impact. Cleanup seems even slower than the replacement of machines running Windows XP. In general, the infected users appear outside the reach of current remediation practices. Some ISPs may have judged the neutralized botnet an insufficient threat to merit remediation. These machines can however be magnets for other threats -- we find an overlap between GameoverZeus and Conficker infections. We conclude by reflecting on what this means for the future of botnet mitigation.