Miracle-dz/UniFAR-FTUs huggingface dataset:
The Anomaly Detection by Using DBSCAN Clustering with Multiple Parameters

DBSCAN is one of powerful density-based clustering algorithms for detecting outliers, but there are some difficulties in finding its parameters (epsilon and minpts). Currently, there is also no way to use DBSCAN with different parameters for different cluster when it is applied to anomaly detection when network traffic includes multiple traffic types with different characteristics. In this paper, we propose a new way of finding DBSCAN's parameters and applying DBSCAN with those parameters. Each cluster may have different epsilon and minpts values in our algorithm. The algorithm is called DBSCAN-MP. We also propose a mechanism of updating normal behavior by updating size or creating new clusters when network environment is changing overtime. We evaluate proposed algorithm using the KDD Cup 1999 dataset. The result shows that the performance is improved compare to other clustering algorithms.
Fine structure of Thecamoeba quadrilineata strain CCAP 1583/10 (Amoebozoa, Discosea, Thecamoebida), the host of Nucleophaga amoebae (Opisthosporidia)

1 Department of Invertebrate Zoology, Faculty of Biology, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia 2 Laboratory of Cytology of Unicellular Organisms, Institute of Cytology RAS, Tikhoretsky ave. 4, 194064 St. Petersburg, Russia 3 Central Institute of the Federal Medical Services, P.O. Box 7340, 56070 Koblenz, Germany 4 Medical University of Vienna, Kinderspitalgasse 15, 1090 Vienna, Austria
ECONOMIC GROWTH AND TECHNOLOGY DIFFUSION IN DEVELOPING COUNTRIES

This paper aims to use the system-GMM estimation to fit an augmented Solow growth model with international technology diffusion variables. We also investigate whether the parameters of the model differ appreciably across subsamples of countries. The paper finds that foreign direct investment is a more important channel for technology transfer to developing countries than openness to international trade. Furthermore, the estimates indicate that the more rapidly technology transfer is made, the greater is the stock of human capital accumulated.
Adjustment of children and their mothers with breast cancer.

OBJECTIVE To examine the adjustment of children of mothers with both active and nonactive breast cancers in comparison with a healthy community control sample. METHODS Participants included 80 mothers and their children. Half of the mothers had breast cancer or a history of breast cancer. Children in both groups ranged in age from 8 to 19 years. Assessments included measures of maternal stressors and resources, maternal and child adjustment and posttraumatic stress, and maternal coping and illness uncertainty reported by both mothers and their children. RESULTS Few differences were found between the groups, although there was a trend for girls of mothers with breast cancer to have a higher frequency of depressive symptoms. Children of mothers who perceived support from friends and family had fewer depressive symptoms, after we controlled for child gender. CONCLUSIONS The social support perceived by mothers with breast cancer may serve as a protective factor for their children's psychological adjustment.
A Morphological Model for Simulating Acoustic Scenes and Its Application to Sound Event Detection

This paper introduces a model for simulating environmental acoustic scenes that abstracts temporal structures from audio recordings. This model allows us to explicitly control key morphological aspects of the acoustic scene and to isolate their impact on the performance of the system under evaluation. Thus, more information can be gained on the behavior of an evaluated system, providing guidance for further improvements. To demonstrate its potential, this model is employed to evaluate the performance of nine state of the art sound event detection systems submitted to the IEEE DCASE 2013 Challenge. Results indicate that the proposed scheme is able to successfully build datasets useful for evaluating important aspects of the performance of sound event detection systems, such as their robustness to new recording conditions and to varying levels of background audio.
The frontal shield of the moorhen : sex differences and relationship with body condition

Moorhens Gallinula chloropus have a conspicuous frontal shield, which is used in competitor assessment, and whose size and colour is testosteronedependent in both sexes. During 2 months in winter we examined sex-related differences in size and colour of the red or red-orange shield and the yellow-tipped bill of free-living adult moorhens, as well as their relationship with indices of body condition (body size, tarsi fluctuating asymmetry, fat index, serum lutein carotenoid concentration, and a number of blood parameters). Shield area was greater in males and more red in females. In females, area and colouration intensity of the shield were positively correlated, respectively, to body size and concentration of circulating lutein. In males, area and intensity of red colouration of the shield were positively correlated, respectively, to albumin/globulin ratio and body size, while shield colour saturation was negatively related to the leukocyte index. Our results suggest that shield area and colour of male and female moorhens may provide cues to their opponents for assessment of body size and health status, and therefore of their competitive ability.
Long-time Entanglement in the Quantum Walk

The coin-position entanglement generated by the evolutionoperator of a discrete-time quantum walk is quantified, using the von Neu mann entropy of the reduced density operator (entropy of entanglement). In the case of a single walker, the entropy of entanglement converges, in thelong time limit, to a well defined value which depends on the initial state. Exactexpressions are obtained for local and non-local initial conditions. Wealso discuss the asymptotic bi-partite entanglement generated by non-sepa rable coin operations for two coherent quantum walkers. In this case, the entropy of e ntanglement is observed to increase logarithmically with time.
Face-to-Face, Email and Instant Messaging in Distributed Agile Software Development Project

This paper presents our preliminary results from a single case study on face-to-face, email and instant messaging (IM) communication in a distributed agile software development (DASD) project. The project had 13 team members during the time of study, and it was distributed between three different sites: Finland, Norway and Czech Republic. The team was using Scrum process model with three week sprints.We studied face-to-face communication with sociometric badges and email and IM communication by analyzing the project-related communication logs provided by each individual team member. We were interested both in the amount of communication and the communication patterns via different communication media.We found differences in the daily variation of communication amounts across different media as well as different network structure of communication with different media. Specifically, we found some evidence that IM is used as a replacement for face-to-face discussion in DASD, and that email seems to be more suitable for team-wide, inter-site communication than face-to-face or instant messaging.
A Voltage Controlled PFC Cuk Converter Based PMBLDCM Drive for Air-Conditioners

This paper deals with a Cuk DC-DC converter as a single-stage power factor correction (PFC) converter for a permanent magnet brushless DC motor (PMBLDCM) fed through a diode bridge rectifier (DBR) from a single-phase AC mains. A three-phase voltage source inverter is used as an electronic commutator to operate the PMBLDCM driving an air conditioner compressor. The speed of the compressor is controlled to achieve optimum air-conditioning using a concept of the voltage control at DC link proportional to the desired speed of the PMBLDCM. The stator currents of the PMBLDCM during step change in the reference speed are controlled within the specified limits by an addition of a rate limiter in the reference DC link voltage. The proposed PMBLDCM drive with the voltage control is designed, modeled and its performance is evaluated in Matlab-Simulink environment. The obtained results are presented to demonstrate an improved power quality (PQ) at AC mains of the PMBLDCM drive system in wide range of the speed and the input AC voltage.
Multiple Sclerosis Risk Variant HLA-DRB1*1501 Associates with High Expression of DRB1 Gene in Different Human Populations

The human leukocyte antigen (HLA) DRB1*1501 has been consistently associated with multiple sclerosis (MS) in nearly all populations tested. This points to a specific antigen presentation as the pathogenic mechanism though this does not fully explain the disease association. The identification of expression quantitative trait loci (eQTL) for genes in the HLA locus poses the question of the role of gene expression in MS susceptibility. We analyzed the eQTLs in the HLA region with respect to MS-associated HLA-variants obtained from genome-wide association studies (GWAS). We found that the Tag of DRB1*1501, rs3135388 A allele, correlated with high expression of DRB1, DRB5 and DQB1 genes in a Caucasian population. In quantitative terms, the MS-risk AA genotype carriers of rs3135388 were associated with 15.7-, 5.2- and 8.3-fold higher expression of DQB1, DRB5 and DRB1, respectively, than the non-risk GG carriers. The haplotype analysis of expression-associated variants in a Spanish MS cohort revealed that high expression of DRB1 and DQB1 alone did not contribute to the disease. However, in Caucasian, Asian and African American populations, the DRB1*1501 allele was always highly expressed. In other immune related diseases such as type 1 diabetes, inflammatory bowel disease, ulcerative colitis, asthma and IgA deficiency, the best GWAS-associated HLA SNPs were also eQTLs for different HLA Class II genes. Our data suggest that the DR/DQ expression levels, together with specific structural properties of alleles, seem to be the causal effect in MS and in other immunopathologies rather than specific antigen presentation alone.
Common Genetic Variants in Prostate Cancer Risk Prediction—Results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3)

Background: One of the goals of personalized medicine is to generate individual risk profiles that could identify individuals in the population that exhibit high risk. The discovery of more than two-dozen independent single-nucleotide polymorphism markers in prostate cancer has raised the possibility for such risk stratification. In this study, we evaluated the discriminative and predictive ability for prostate cancer risk models incorporating 25 common prostate cancer genetic markers, family history of prostate cancer, and age. Methods: We fit a series of risk models and estimated their performance in 7,509 prostate cancer cases and 7,652 controls within the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3). We also calculated absolute risks based on SEER incidence data. Results: The best risk model (C-statistic = 0.642) included individual genetic markers and family history of prostate cancer. We observed a decreasing trend in discriminative ability with advancing age (P = 0.009), with highest accuracy in men younger than 60 years (C-statistic = 0.679). The absolute ten-year risk for 50-year-old men with a family history ranged from 1.6% (10th percentile of genetic risk) to 6.7% (90th percentile of genetic risk). For men without family history, the risk ranged from 0.8% (10th percentile) to 3.4% (90th percentile). Conclusions: Our results indicate that incorporating genetic information and family history in prostate cancer risk models can be particularly useful for identifying younger men that might benefit from prostate-specific antigen screening. Impact: Although adding genetic risk markers improves model performance, the clinical utility of these genetic risk models is limited. Cancer Epidemiol Biomarkers Prev; 21(3); 437–44. ©2012 AACR.
sits the SAT : Measuring Relational Similarity on the Web ID 606

Measuring relational similarity between words is important in numerous natural language processing tasks such as solving analogy questions and classifying noun-modifier relations. We propose a method to measure the similarity between semantic relations that hold between two pairs of words using a web search engine. First, each pair of words is represented by a vector of automatically extracted lexical patterns. Then a Support Vector Machine is trained to recognize word pairs with similar semantic relations. We evaluate the proposed method on SAT multiple-choice word-analogy questions. The proposed method achieves a score of 40% which is comparable with relational similarity measures which use manually created resources such as WordNet. The proposed method significantly reduces the time taken by previously proposed computationally intensive methods, such as latent relational analysis, to process 374 analogy questions from8 days to less than6 hours. Moreover, we evaluate the proposed relational similarity measure in a relation classification task in which the proposed method outperforms vector space model-based relational similarity measures.
Nutritional Neurosciences Lead Exposure and ( n-3 ) Fatty Acid Deficiency during Rat Neonatal Development Alter Liver , Plasma , and Brain Polyunsaturated Fatty Acid Composition 1

Lead (Pb) exposure has been reported to increase arachidonic (AA) and docosahexaenoic (DHA) acids. To determine whether Pb effects on fatty acid composition are influenced by dietary (n-3) fatty acid restriction, weanling female rats were fed either an (n-3)-adequate or -deficient diet to maturity and mated. At parturition, dams in each group were subdivided to receive either 0.2% Pb or Na-acetate in their drinking water during lactation only. Pups were analyzed for fatty acid content in liver, plasma, and brain at either 3 or 11 wk. The (n-3)-deficient diets markedly decreased total (n-3) fatty acids, and increased total (n-6) fatty acids including both AA and docosapentaenoic (n-6) in each compartment (P 0.05). The main effects of Pb were in the livers of weanling rats where there was a 56% loss in total fatty acid concentration concurrent with increased relative percentages of AA and DHA. Thus, because there was a greater percentage of liver nonessential fatty acid lost relative to the essential fatty acids (EFA), there was no net change in AA concentration. There was a diet Pb interaction for a decrease in liver DHA concentration evident only in the (n-3)-adequate group. There were also diet Pb interactions in plasma at 11 wk and in brain at 3 wk. These data are consistent with the hypothesis of a Pb-induced increase in fatty acid catabolism, perhaps as a source of energy. J. Nutr. 135: 1027–1033, 2005.
Compressive Sensing based Continuous ECG Monitoring and Processing using a Novel Feature Extraction Algorithm

The electrocardiogram (ECG) represents the electrical activity of heart. This activity is monitored to check, whether, heart is functioning normally or not. For this purpose, the acquisition of ECG signal is usually done at Nyquist Rate. This generates too many samples and invokes the need of compression before storage and transmission. In this scenario, compressive sensing (CS) has been proved to be a better candidate. CS being a newer sensing modality, which, samples the signals at a rate much below the Nyquist rate and still allows faithful reconstruction from fewer samples. In this work, a CS acquisition strategy, namely, the random demodulator (RD) has been used for the acquisition of ECG signal, to overcome the storage and transmission overhead in continuous ECG monitoring. At the receiver end, reconstruction is tried from the received compressive measurements using several CS reconstruction algorithms from convex and greedy approaches. In order to identify a better CS reconstruction algorithm for ECG signal, the reconstruction performance of these algorithms is compared using parameters like undersampling ratio, speed and accuracy of reconstruction. From the reconstructed ECG signal, the disease classification has been done by extracting its features with the help of proposed feature extraction algorithm. To validate the universality of proposed algorithm for ECG signals, the algorithm has been tested on several data sets of ECG signal, which are taken from MIT-BIH database. Finally, the robustness analysis of ‘CS for ECG monitoring’ has been done by investigating on information security and denoising aspects.
A Survey Paper on Finger Knuckle Print Recognition Algorithm

Now a days various biometric techniques have been explored by the researcher for identification and recognition of the person. Being more reliable than the traditional method of recognition, bi metrics traits are becoming mor and more popular for identification of the person. Characteristics of the biometrics decide the performance of such system. Fingerprint, iris, face palm veins are some of the common biometrics which are being used for person identification. Finger knuckle print is also one of the biometrics traits which has attracted many researcher for person identification. Finger knuckle carry some important and unique texture or lines of the skin which can be utilized for the person recognition and identification. This paper present a survey work on the finger knuckle print recognition methods.
Improved signal processing of acoustic emission for structural health monitoring using a data-driven approach

Extracting isolated signal patterns from continuously sampled data and discarding noise is of particular importance in the field of Structural Health Monitoring. Using Acoustic Emission (AE) for passive in-situ inspection, this is considered as a challenging task. Here, ultrasound stress waves are recorded passively to detect damage occurring in a material or structure in real-time. The corresponding waveforms recorded by AE transducers carry information regarding their underlying source mechanism, which can be related to either damage or spurious noises from the environment. Typically, these signals are transient and stochastically distributed in time. Many state-of-the-art AE systems use fixed thresholds to distinguish between relevant signals and noise. However, in practical applications these approaches are inaccurate or even unfeasible due to low signal-to-noise ratio. In this paper, a data driven approach to distinguish between relevant signals and noise is presented. To identify a model from the AE data Platt calibration is used, which was developed to map the output of support vector machines to probabilities. The advantage of this approach is that the mapping between signal characteristics and relevance can be derived from preliminary measurements such as PencilLead Break (PLB) test. In a first step, the distance of the measurements to a baseline is computed. Furthermore, by determining the onset of the PLB signal manually or using a different method such as Akaike information criterion, the measurement can be split in two disjoint sections containing the relevant signal and noise, respectively. Finally, a parametric model is derived from the obtained class-conditional distributions of distances using a curve fitting procedure. Based on this model a characteristic function which serves as a probabilistic measure indicating the presence of relevant signals can be computed. The feasibility of the approach is demonstrated using AE measurements from indentation tests of composite plates.
Association of SCARB1 Variants With Subclinical Atherosclerosis and Incident Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis

Objective—We previously reported a statistically significant association of SCARB1 intronic single nucleotide polymorphism (SNP) rs10846744 with common carotid intimal-medial artery thickness in each of the 4 Multi-Ethnic Study of Atherosclerosis racial/ethnic groups (white, Chinese, black, and Hispanic). Methods and Results—Using an expanded sample of 7936 Multi-Ethnic Study of Atherosclerosis participants, phenotyped for measures of subclinical atherosclerosis, incident myocardial infarction, and cardiovascular disease, and genotyped through the SNP Health Association Resource project, we have now examined the genetic association of these phenotypes with 126 genotyped and imputed SCARB1 SNPs. We also performed stratified analyses to examine whether SCARB1 SNP effects differed by sex. Our analysis of the full Multi-Ethnic Study of Atherosclerosis cohort provides strong evidence for the association of rs10846744 with common carotid intimal-medial thickness (P=1.04E-4 in combined analysis of all 4 Multi-Ethnic Study of Atherosclerosis racial/ethnic groups). In sex-stratified analysis, we observed statistically significant association of rs10846744 with incident cardiovascular disease events in males (P=0.01). Examining analytical results from the Myocardial Infarction Genetics Consortium for replication, we observed further support for the association of rs10846744 with myocardial infarction. Conclusion—The SCARB1 SNP, rs10846744, exerts a major effect on subclinical atherosclerosis and incident cardiovascular disease in humans.
Digital Collections and Digital Collecting Practices

Reference is increasingly made to 'digital collections', yet this term encompasses accumulated digital objects of varying form, purpose and value. We review social science literature on material collections and draw from in-depth interviews with 20 people in the UK in order to offer a clearer understanding of what constitutes a digital collection and what does not. We develop a taxonomy that presents three distinct types of digital collection and demonstrate ways in which the affordances of digital environments may facilitate or impede meaningful practices of acquisition, curation and exhibition in each case. Through doing so, we present a framework for design in support of collecting practices and the development of more meaningful and valued digital collections.
Differential Accumulation and Pigmenting Ability of Dietary Carotenoids in Colorful Finches

Many animals develop bright red, orange, or yellow carotenoid pigmentation that they use to attract mates. Colorful carotenoid pigments are acquired from the diet and are either directly incorporated as integumentary colorants or metabolized into other forms before deposition. Because animals often obtain several different carotenoids from plant and animal food sources, it is possible that these pigments are accumulated at different levels in the body and may play unique roles in shaping the ultimate color expression of individuals. We studied patterns of carotenoid accumulation and integumentary pigmentation in two colorful finch species—the American goldfinch (Carduelis tristis) and the zebra finch (Taeniopygia guttata). Both species acquire two main hydroxycarotenoids, lutein and zeaxanthin, from their seed diet but transform these into a series of metabolites that are used as colorful pigments in the plumage (goldfinches only) and beak (both species). We conducted a series of carotenoid‐supplementation experiments to investigate the relative extent to which lutein and zeaxanthin are accumulated in blood and increase carotenoid coloration in feathers and bare parts. First, we supplemented the diets of both species with either lutein or zeaxanthin and measured plasma pigment status, feather carotenoid concentration (goldfinches only), and integumentary color. Zeaxanthin‐supplemented males grew more colorful feathers and beaks than lutein‐supplemented males, and in goldfinches incorporated a different ratio of carotenoids in feathers (favoring the accumulation of canary xanthophyll B). We also fed goldfinches different concentrations of a standard lutein‐zeaxanthin mix and found that at physiologically normal and high concentrations, birds circulated proportionally more zeaxanthin over lutein than occurred in the diet. Collectively, these results demonstrate that zeaxanthin is preferentially accumulated in the body and serves as a more potent substrate for pigmentation than lutein in these finches.