Miracle-dz/UniFAR-FTUs huggingface dataset:
Uma arquitetura de Big Data as a service baseada no modelo de nuvem privada

This work presents a proposal of an architecture for Big Data as a Service (BDaaS). Hence, are explained the features, techniques and tools that compose the state of the art in this recent research line, the result of the union of cloud computing and big data. As a direct benefit, it is sought to shorten the time necessary for effective adoption of big data solutions in organizations. Thus, with the private cloud, the architecture takes advantage of computational resources available in the datacenter to provide the characteristics of cloud computing already popular with major providers. In this way, the study shows an alternative to minimize the problem of deployment, management and configuration complexity in the private cloud environment and big data, allowing the users to use big data solutions with analysis services and data integration services, which will be implemented by means of technologies for batch, real time and NoSQL processing. The results show that the architecture addresses the main use cases of big data systems, enabling features such as scalability, modularity, reusability, use of open standards etc.
Abundances of Deuterium, Nitrogen, and Oxygen toward HZ 43A: Results from the FUSE Mission

We present an analysis of interstellar absorption along the line of sight to the nearby white dwarf star HZ 43A. The distance to this star is 68 ± 13 pc, and the line of sight extends toward the north Galactic pole. Column densities of O I, N I, and N II were derived from spectra obtained by the Far Ultraviolet Spectroscopic Explorer (FUSE), the column density of D I was derived from a combination of our FUSE spectra and an archival Hubble Space Telescope (HST) GHRS spectrum, and the column density of H I was derived from a combination of the GHRS spectrum and values derived from Extreme Ultraviolet Explorer (EUVE) data obtained from the literature. We find the following abundance ratios (with 2 σ uncertainties): D /H = (1.66 ± 0.28) × 10-5, O /H = (3.63 ± 0.84) × 10-4, and N /H = (3.80 ± 0.74) × 10-5. The N II column density was slightly greater than that of N I, indicating that ionization corrections are important when deriving nitrogen abundances. Other interstellar species detected along the line of sight were C II, C III, O VI, Si II, Ar I, Mg II, and Fe II; an upper limit was determined for N III. No elements other than H I were detected in the stellar photosphere.
Classification of facial images

This paper consists of development of detection strategies for face recognition tasks and to access its feasibility for forensic analysis using the FERET face database Author has used global feature extraction technique using statistical method for image classification. Facial images of three subjects with different expression and angles are used for classification. Principal Component Analysis has been used for three classes. Mahalanobis distance and Euclidian distance are used as similarity measures and a result of both methods is compared.
The Production of Health and the Valuation of Medical Amenities in Wage-Amenity Models

This paper examines the valuation of inputs into the production of health. The data used in this study include the incomes, demographics, and measures of productivity for almost 1000 households in eastern North Carolina with county level health input supply and environmental risk variables. These data allow an estimate of the value of health care inputs such as the physician to population ratio, per capita hospital beds, and the availability of specialized services in an area of the country where the lack of available health care has been of particular concern to policy makers. In addition we examine the valuation of environmental risk variables which also affect the production of health and the potential interaction of these variables with health care inputs. Our results indicate that hospital affiliation with a medical school and the number of physicians captures productivity enhancing aspects of health care inputs and leads to higher earnings, while health care inputs affecting nonworking members of the family lead to lower earnings indicating that these inputs are associated with a compensating differential.
Can Treatment for Pure Alexia Improve Letter-by-Letter Reading Speed without Sacrificing Accuracy?

An experimental treatment study designed to improve both the accuracy and the speed of reading was administered to a patient with pure alexia and impaired letter naming. The study focused on the use of letter-by-letter reading. A two-stage approach was employed. The first stage implemented a tactile-kinesthetic strategy to improve accuracy. The second stage concentrated on speed. At the end of the treatment, patient DL was reading both trained and untrained words more accurately and with considerably greater speed than prior to treatment. Accuracy and speed of reading at the sentence level improved as well.
Designing activity-aware recommender systems for operating rooms

This paper presents research in ubiquitous computing focusing on creating context- and activity-aware systems in collaborative environments such as hospitals. These activity-aware systems are able to infer human physical actions and subsequently offer services that support the user's ongoing task. The paper introduces our initial design of an activity-aware recommender system for surgical procedures in operating rooms. Based on sensor input, the system automatically detects and recognizes co-located collaborative and concurrent human actions in the operating room, and uses this to show information and recommend actions to take, which are relevant to the current situation.
The Role of Individual Characteristics on the Effectiveness of IS Security Countermeasures

General deterrence theory suggests that deterrent security countermeasures (e.g., security policies, security awareness programs, security software) can be used to control IS misuse in organizations. However, empirical studies that have examined the effectiveness of such techniques have produced inconclusive results. A limitation of these studies is that they ignore the impacts of sanction perceptions and individual characteristics on IS misuse behavior. The purpose of this paper is to reconcile the discrepant findings of prior research by introducing a conceptual model that proposes a relationship between deterrent security countermeasures, sanction perceptions, individual characteristics, and IS misuse. The model includes the following propositions: (i) deterrent security countermeasures increase perceived certainty and severity of sanctions, which leads to lower IS misuse intention; (ii) the relationship between deterrent countermeasures and perceived certainty and severity of sanctions is moderated by an individual’s computer self-efficacy, computer experience, gender, age, risk propensity, and employment context.
Tissue- and age-specific expression patterns of alternatively spliced agrin mRNA transcripts in embryonic rat suggest novel developmental roles

Agrin is an extracellular matrix protein that mediates the nerve- induced clustering of nicotinic acetylcholine receptors on target muscle cells, and thus plays a key role in development of the neuromuscular synapse. Alternative exon usage within the rat agrin gene predicts numerous protein isoforms, which differ by the inclusion or exclusion of small inserts at three sites in the C-terminal half of the molecule; the insert status at two of these sites, termed Y and Z, profoundly influences the acetylcholine receptor clustering activity. We have examined the cellular expression patterns of agrin messenger RNA transcripts during rat embryogenesis by in situ hybridization with isoform-specific probes. Six 36-mer oligonucleotide probes were designed to distinguish between mRNA isoforms at either the Y site: the encoded protein contains either no insert (Y0) or a 4-amino acid insert (Y4), or the Z site: the encoded protein contains either no insert or one of 8 (Z8), 11 (Z11), or 19 (Z19) amino acids. Strikingly different expression patterns were observed for the individual Y- and Z-site encoding messages. While optional exon usage predicts the possibility of eight different agrin isoforms at the two splice sites, we detected only four isoforms in vivo: Y4Z0, Y0Z0, Y4Z8, and Y4Z19. The Y4Z0 transcript, which comprised the majority of the agrin expressed, was localized exclusively to nervous tissue and exhibited a distribution profile suggestive of a potential role in neurogenesis and/or neural differentiation. From embryonic day 13 to birth, Y4Z0 was found in mitotic ventricular zones, spinal, cranial, and sympathetic ganglia, and diffusely throughout the brain. In contrast, Y0Z0 was not expressed in neurons, but specifically labeled capillary endothelial cells within the developing nervous system. Y4Z8 and Y4Z19, the forms most active in acetylcholine receptor aggregation, were expressed at low levels only in spinal and brainstem motor neurons; Z19 expression declined from embryonic day 15 to adulthood, whereas Z8 expression increased slightly during this period. Transcripts encoding the Z11 insert could not be detected. These data suggest potential novel biological roles for agrin beyond that originally proposed in synapse formation.
Digital polar transmitter using a watt-class current-mode class-D CMOS power amplifier

A digital polar transmitter with a watt-class CMOS power amplifier is demonstrated, implemented with a 0.15um RF CMOS process. Current-mode class-D configuration and stacked FETs are used to obtain high efficiency and high breakdown voltage in the output stage, which was measured to have 31 dBm output power with 51% drain efficiency under single tone testing. The output stage is fed by a buck converter employing digital pulse width modulation with 47 MHz pulse rate synchronized with a 3 GHz clock. Digital compensation techniques were developed to maintain linearity. WCDMA HPSK modulation was demonstrated using a pulse pattern generator-based measurement bench. Overall efficiency of 26.5 % efficiency was achieved while maintaining ACLRs within 3GPP specifications at 24 dBm average output power.
Isolation and characterization of fast-neutron induced mutants with abnormal leaf morphology in Arabidopsis thaliana

In order to identify novel genes involved in the morphogenesis of plant leaves and to obtain new null alleles of previously identified genes, we screened 23,445 M-2 Arabidopsis thaliana individuals, the progeny of 2,931 M-1 Landsberg erecta parentals exposed to fast neutron bombardment. We isolated 901 M-2 putative mutants, most of which showed unstable phenotypes that were lost after one or two generations of selfing. We subjected to genetic analysis 25 mutants, whose phenotypes were transmitted with complete penetrance and small variations in expressivity, which fell into 9 complementation groups. Some of them corresponded to genes previously undescribed at the mutational level, their mutant alleles causing a dentate leaf marginal configuration and reduced number of mesophyl cells, some displayed bilaterally asymmetric leaves, and others had either involute or small leaves. Novel alleles of previously described genes, such as CLF and AS1, were also obtained.
Strategy and Structure: A Repeated Game Approach

According to Williamson (1975), a divisionalized and fully decentralized structure, the so called M-form, is the optimal structure via which firms that pursue diversification gain economic benefits from internalizing transactions. However, empirical evidence shows that a centralized, multi-divisional structure, the so called CM-Form, is the optimal structure when related diversification is the objective, while the M-form is optimal when seeking unrelated diversification. This paper proposes a repeated game model to study the link between strategy and structure. The main prediction of the model is that a related strategy is, overall, better served by a centralized structure, while an unrelated strategy is better served by a decentralized structure.
Cooperative mergers and acquisitions: The role of capital constraints

Several explanations for merger activity exist for publicly traded firms, but none consider the unique aspects of cooperatives. This study develops a test for the hypothesis that cooperative consolidation occurs primarily in response to capital constraints associated with a lack of access to external equity capital. An empirical model estimates the shadow value of long-term investment capital within a multinomial logit model of transaction choice in a panel data set of the 100 largest U.S. cooperatives. The results substantially confirm the capital-constraint hypothesis. Thus, the primary implication is that internal growth may be a more viable alternative to consolidation if new forms of cooperative financing are developed.
Leaving Librarianship: A Study of the Determinants and Consequences of Occupational Turnover.

SUSAN R. RATHBUN-GRUBB: Leaving Librarianship: A Study of the Determinants and Consequences of Occupational Turnover (Under the direction of Joanne Gard Marshall) The purpose of this study was to better understand occupational turnover among librarians and archivists by examining the careers of individuals who have left or intend to leave the profession, in order to identify the factors associated with turnover, and to discover the career outcomes of those who leave. The dissertation analyzes a subset of the data collected in 2007 by the Workforce Issues in Library and Information Science 1 (WILIS 1) project, a study of the career patterns of the graduates of five LIS master’s programs in North Carolina from 1964-2007 (J. G. Marshall, Marshall, Morgan, et al., 2005). The framework of the life course perspective was used in the analysis of quantitative and textual survey responses to facilitate a more nuanced interpretation of careers and the process of turnover in the context of personal relationships and timing over the life course. Themes related to career patterns, work values, work mismatches, turnover, and outcomes of career transitions were identified. Occupational turnover rates for this sample are low. Only 13% have left the profession, and only 2% indicate that they will leave the field within three years for reasons other than retirement. Good work relationships and opportunities for career development and advancement are important to job satisfaction, and most respondents are satisfied with their LIS work and career. Those who intend to leave or have already left cite low salaries,
A wearable activity sensor system and its physical activity classification scheme

This paper presents a wearable activity sensor system and a systematic activity classification scheme for the classification of human daily physical activities. The wearable activity sensor system, consisting of two activity sensor modules worn on users' dominant hand wrists and ankles, is used for collecting activity acceleration signals. The proposed activity classification scheme, including static/dynamic activity analysis, posture recognition, exercise classification, and ambulation classification, is capable of classifying time-series activity acceleration signals. The collected acceleration signals are classify into two categories by means of static/dynamic activity analysis. Posture recognition is applied for partitioning static signals into sitting and standing. Exercise classification and ambulation classification algorithms were used to classify dynamic activity signals. Our experimental results have successfully validated the effectiveness of the proposed wearable sensor system and the scheme of activity classification algorithms with an overall classification accuracy of 96% for seven types of daily activities.
An Identity-Based One-Time Password Scheme with Anonymous Authentication

Password authentication is one of the simplest and the most convenient authentication mechanisms over insecure networks. One-time password authentication which uses dynamic password helps to enhance the security of password. In this paper, we suggest a new one-time password scheme using the smart card based on the bilinear pairings. By generating temporary identity, our scheme can provide anonymity in authentication process to protect the user’s privacy. Based on the Computational Diffie-Hellman Problem, we show that the proposed scheme is secure against forgery attack and ID attack under the random oracle model.
A New Algorithm for Semantic Web Service Matching

Considering the existing problems in Web service such as lack of semantic information and interoperability, atomic services can not cooperate with each other and be combined into composite services. In this paper, based on extended UDDI, we present a semantic annotation framework for Web service description and composition. The novel service matching algorithm not only takes into account the height factor of ontology tree and local density factor for the impact of semantic distance, but also the degree of semantic overlap. Experimental results show that the proposed service matching algorithm improved the efficiency of Web service discovery, and thus Web service can be composed easily to form more complicated inter-related services.
Adaptive Dynamic Range Reduction for SAR Images

The visualization of SAR images involves the mapping of high dynamic range amplitude values to gray levels for lower dynamic range display devices. This dynamic range reduction process determines the visibility of details in the displayed result. It is therefore an important part of SAR visualization systems. The problem of dynamic range reduction for SAR images is related to the tone mapping problem for optical images. Tone mapping is used to prepare high dynamic range optical images for display on lower dynamic range display devices. In this paper, we present new dynamic range reduction methods for SAR images. The methods are based tone mapping techniques. They are adaptive, improve the visibility of local details, and are suitable for use in interactive visualization systems.
The Abbreviated Profile of Hearing Aid Benefit

Objective To develop and evaluate a shortened version of the Profile of Hearing Aid Benefit, to be called the Abbreviated Profile of Hearing Aid Benefit, or APHAB. Design The Profile of Hearing Aid Benefit (PHAB) is a 66-item self-assessment, disability-based inventory that can be used to document the outcome of a hearing aid fitting, to compare several fittings, or to evaluate the same fitting over time. Data from 128 completed PHABs were used to select items for the Abbreviated PHAB. AU subjects were elderly hearing-impaired who wore conventional analog hearing aids. Statistics of score distributions and psychometric properties of each of the APHAB sub-scales were determined. Data from 27 similar subjects were used to examine the test-retest properties of the instrument. Finally, equal-percentile profiles were generated for unaided, aided and benefit scores obtained from successful wearers of linear hearing aids. Results The APHAB uses a subset of 24 of the 66 items from the PHAB, scored in four 6-item sub-scales. Three of the subscales, Ease of Communication, Reverberation, and Background Noise address speech understanding in various everyday environments. The fourth subscale, Aversiveness of Sounds, quantifies negative reactions to environmental sounds. The APHAB typically requires 10 minutes or less to complete, and it produces scores for unaided and aided performance as well as hearing aid benefit. Test-retest correlation coefficients were found to be moderate to high and similar to those reported in the literature for other scales of similar content and length. Critical differences for each subscale taken individually were judged to be fairly large, however, smaller differences between two tests from the same individual can be significant if the three speech communication subscales are considered jointly. Conclusions The APHAB is a potentially valuable clinical instrument. It can be useful for quantifying the disability associated with a hearing loss and the reduction of disability that is achieved with a hearing aid.
Rapamycin Inhibits Growth of Premalignant and Malignant Mammary Lesions in a Mouse Model of Ductal Carcinoma In situ

Purpose: Rapamycin has been shown to have antitumor effects in various tumor models. To study the effect of rapamycin at different stages of breast cancer development, we used two unique mouse models of breast cancer with activated phosphatidylinositol 3-kinase (PI3K) pathway. Met-1 tumors are highly invasive and metastatic, and mammary intraepithelial neoplasia-outgrowths (MIN-O), a model for human ductal carcinoma in situ, are transplantable premalignant mammary lesions that develop invasive carcinoma with predictable latencies. Both of these models were derived from mammary lesions in Tg(MMTV-PyV-mT) mice. Experimental Design: Met-1 tumors were used to study the effect of rapamycin treatment on invasive disease. Transplanted MIN-O model was used to study the effect of rapamycin on premalignant mammary lesions. Animals were in vivo micro–positron emission tomography imaged to follow the lesion growth and transformation to tumor during the treatment. Cell proliferation, angiogenesis, and apoptosis was assayed by immunohistochemistry. Results: Rapamycin inhibited in vitro tumor cell proliferation and in vivo Met-1 tumor growth. The growth inhibition was correlated with dephosphorylation of mammalian target of rapamycin (mTOR) targets. Rapamycin treatment significantly reduced the growth of the premalignant MIN-O lesion, as well as tumor incidence and tumor burden. Growth inhibition was associated with reduced cell proliferation and angiogenesis and increased apoptosis. Conclusions: In PyV-mT mouse mammary models, rapamycin inhibits the growth of premalignant lesions and invasive tumors. Although the inhibitory effect of rapamycin was striking, rapamycin treatment did not completely obliterate the lesions.
Co-training on authorship attribution with very fewlabeled examples: methods vs. views

Authorship attribution (AA) aims to identify the authors of a set of documents. Traditional studies in this area often assume that there are a large set of labeled documents available for training. However, in the real life, it is hard or expensive to collect a large set of labeled data. For example, in the online review domain, most reviewers (authors) only write a few reviews, which are not enough to serve as the training data for accurate classification. In this paper, we present a novel two-view co-training framework to iteratively identify the authors of a few unlabeled data to augment the training set. The key idea is to first represent each document as several distinct views, and then a co-training technique is adopted to exploit the large amount of unlabeled documents. Starting from 10 training texts per author, we systematically evaluate the effectiveness of co-training for authorship attribution with limited labeled data. Two methods and three views are investigated: logistic regression (LR) and support vector machines (SVM) methods, and character, lexical, and syntactic views. The experimental results show that LR is particularly effective for improving co-training in AA, and the lexical view performs the best among three views when combined with a LR classifier. Furthermore, the co-training framework does not make much difference between one classifier from two views and two classifiers from one view. Instead, it is the learning approach and the view that plays a critical role.