Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Recognition in Passive Environment using Bidirectional Associative Memory

Automated Human recognition is challenging area to identify the human based on characteristics such as behavioral or physical. In this paper we propose a noble approach for identifying the human by combining the two biometric face and ear recognition through bidirectional associative memory. This approach can be more suitable in passive environment such as surveillance . By combining two modality, we get the comparatively lower values of false rejection rate (FRR) and falsee acceptance rate (FAR). Using the proposed approach we can get comparatively lower value of FAR.
The Effects of Antihypertensive Drugs on Bone Mineral Density in Ovariectomized Mice

The effects of several antihypertensive drugs on bone mineral density (BMD) and micro-architectural changes in ovariectomized (OVX) mice were investigated. Eight-week-old female C57/BL6 mice were used for this study. Three days after ovariectomy, mice were treated intraperitoneally with nifedipine (15 mg/kg), telmisartan (5 mg/kg), enalapril (20 mg/kg), propranolol (1 mg/kg) or hydrochlorothiazide (12.5 mg/kg) for 35 consecutive days. Uterine atrophy of all mice was confirmed to evaluate estrogen deficiency state. BMD and micro-architectural analyses were performed on tibial proximal ends by micro-computed tomography (micro-CT). When OVX mice with uterine atrophy were compared with mice without atrophy, BMD decreased (P < 0.001). There were significant differences in BMD loss between different antihypertensive drugs (P = 0.005). Enalapril and propranolol increased BMD loss in mice with atrophied uteri compared with control mice. By contrast, thiazide increased BMD in mice with uterine atrophy compared with vehicle-treated mice (P = 0.048). Thiazide (P = 0.032) and telmisartan (P = 0.051) reduced bone loss and bone fraction in mice with uterine atrophy compared with the control. Thiazide affects BMD in OVX mice positively. The reduction in bone loss by thiazide and telmisartan suggest that these drugs may benefit menopausal women with hypertension and osteoporosis.
Depth refinement for binocular kinect RGB-D cameras

This paper presents a novel depth refinement framework for binocular Kinect RGB-D cameras for obtaining high quality depth map. Firstly, we build a binocular depth sensing system using two Kinect v2 cameras, and analyze the systematic error of the system from two aspects, i.e., camera interaction and intrinsic characteristics. Then, the captured depth maps from different views are fused to fully exploit the inter-view correlations, and an error compensation method is proposed to remove the systematic errors from the fused depth map. Finally, an edge-guided depth propagation scheme is used to refine the depth map from binocular depth map. Experimental results show that the proposed framework is able to substantially improve the quality of depth image.
Multiple Integrase Functions Are Required to Form the Native Structure of the Human Immunodeficiency Virus Type I Intasome*

Mu-mediated polymerase chain reaction footprinting was used to investigate the protein-DNA structure of human immunodeficiency virus type I (HIV-I) preintegration complexes. Preintegration complexes were partially purified from cells after using an established coculture infection technique as well as a novel technique using cell-free supernatant from transfected cells as the source of virus. Footprinting revealed that bound proteins protected the terminal 200–250 base pairs of each viral end from nuclease attack. Bound proteins also caused strong transpositional enhancements near each end of HIV-I. In contrast, regions of viral DNA internal to the ends did not show evidence of strong protein binding. The end regions of preintegrative HIV-I apparently form a unique nucleoprotein structure, which we term the intasome to distinguish it from the greater preintegration complex. Our novel system also allowed us to analyze the structure and function of preintegration complexes isolated from cells infected with integrase mutant viruses. Complexes were derived from viruses defective for either integrase catalysis, integrase binding to the viral DNA substrate, or an unknown function in the carboxyl-terminal domain of the integrase protein. None of these mutant complexes supported detectable integration activity. Despite the presence of the mutant integrase proteins in purified samples, none of these nucleoprotein complexes displayed the native intasome structure detected in wild-type preintegration complexes. We conclude that multiple integrase functions are required to form the native structure of the HIV-I intasome in infected cells.
Operator-Splitting Methods for the Numerical Simulation of Particulate and Free-Surface Flows and for the Numerical Solution of the Monge – Ampère Equation Dedicated to

The main goal of this article is to review some recent applications of operator-splitting methods. We will show that these methods are well-suited to the numerical solution of outstanding problems from various areas in Mechanics, Physics and Differential Geometry, such as the direct numerical simulation of particulate flow, free boundary problems with surface tension for incompressible viscous fluids, and the elliptic real Monge–Ampère equation. The results of numerical experiments will illustrate the capabilities of these methods.
Development of an online database of typical food portion sizes in Irish population groups

Abstract The Irish Food Portion Sizes Database (available at www.iuna.net) describes typical portion weights for an extensive range of foods and beverages for Irish children, adolescents and adults. The present paper describes the methodologies used to develop the database and some key characteristics of the portion weight data contained therein. The data are derived from three large, cross-sectional food consumption surveys carried out in Ireland over the last decade: the National Children's Food Survey (2003–2004), National Teens' Food Survey (2005–2006) and National Adult Nutrition Survey (2008–2010). Median, 25th and 75th percentile portion weights are described for a total of 545 items across the three survey groups, split by age group or sex as appropriate. The typical (median) portion weights reported for adolescents and adults are similar for many foods, while those reported for children are notably smaller. Adolescent and adult males generally consume larger portions than their female counterparts, though similar portion weights may be consumed where foods are packaged in unit amounts (for example, pots of yoghurt). The inclusion of energy under-reporters makes little difference to the estimation of typical portion weights in adults. The data have wide-ranging applications in dietary assessment and food labelling, and will serve as a useful reference against which to compare future portion size data from the Irish population. The present paper provides a useful context for researchers and others wishing to use the Irish Food Portion Sizes Database, and may guide researchers in other countries in establishing similar databases of their own.
Scalability Analysis and Evaluation of Divisible Load Scheduling

In this work, we address the problem of the scalability of divisible load scheduling of data parallel workloads (also called arbitrarily divisible workloads) on high performance parallel and distributed computing systems. Divisible load theory offers a linear, deterministic, and tractable model for scheduling arbitrarily divisible workloads, often encountered in scientific applications. With the continuous increasing problem and the system sizes, it is imperative that application scheduling algorithms scale well to leverage the processing capabilities of the high performance computing systems. We conduct an analytical evaluation as well as a simulation-based study of the scalability of divisible load scheduling algorithms, called DLT algorithms, when applied for scheduling two NAS parallel benchmarks, namely, the embarrassingly parallel (EP) and the integer sort (IS) benchmarks onto a target system modeled as a 3-d torus topology. The EP benchmark is computationally intensive and the IS benchmark is communication intensive. Two questions related to the scalability study are addressed, namely, the fastest time to solve the problem and the condition for cost-optimality. A simulation-based study was conducted to support and verify the solutions obtained via the analytical model.
Content-Based Playlist Generation: Exploratory Experiments

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Insights from Epidemiology into Dichloromethane and Cancer Risk

Dichloromethane (methylene chloride) is a widely used chlorinated solvent. We review the available epidemiology studies (five cohort studies, 13 case-control studies, including seven of hematopoietic cancers), focusing on specific cancer sites. There was little indication of an increased risk of lung cancer in the cohort studies (standardized mortality ratios ranging from 0.46 to 1.21). These cohorts are relatively small, and variable effects (e.g., point estimates ranging from 0.5 to 2.0) were seen for the rarer forms of cancers such as brain cancer and specific hematopoietic cancers. Three large population-based case-control studies of incident non-Hodgkin lymphoma in Europe and the United States observed odds ratios between 1.5 and 2.2 with dichloromethane exposure (ever exposed or highest category of exposure), with higher risk seen in specific subsets of disease. More limited indications of associations with brain cancer, breast cancer, and liver and biliary cancer were also seen in this collection of studies. Existing cohort studies, given their size and uneven exposure information, are unlikely to resolve questions of cancer risks and dichloromethane exposure. More promising approaches are population-based case-control studies of incident disease, and the combination of data from such studies, with robust exposure assessments that include detailed occupational information and exposure assignment based on industry-wide surveys or direct exposure measurements.
Defeating the distributed denial of service attack in cloud environment: A survey

Cloud computing technologies are elaborated and popularized the power, networking, communications and storage speculated the human race to procreate process and share digital information to new demand for more impressive computing infrastructure. Although the Cloud computing is a very promising and challenging internet based computing infrastructure, Distributed Denial of Service (DDoS) is the one of the main attack. This attack can accord the obtainability of the assistance and can be conveniently initiated, it leads to financial damages or affecting the notoriety and this attack is tricky to detect and filter. With respect to the above scenario the detailed survey is made in this paper which focuses on different defeating mechanisms of DDoS attacks such as Detection Techniques, Filtering Techniques and Traceback.
Re-engineering to analyze and measure object oriented paradigms

Object oriented development has proved its worth in today's system because its design and development is better, reliable and easier to access than the traditional methodologies. Due to updated requirements and lack of documentation in old systems has provided a motivation to revamp the systems. Rebuilding or redesigning the same system is highly expensive. To overcome this problem reverse engineering of the system is used as most suitable alternative. Field of reverse engineering is expanding its horizon day by day; it requires reusability not only at code level but also at higher level which can measure the analysis results and original system. Reverse engineering, strategy has been developed to analyze and modeling the OO flies by designing the translator. It models and measures the OO by using traditional metrics and new encapsulation metrics (Public Factor (PuF) & Private Factor (PrF)) essential for developing the good software. In this work we tried to refine metrics especially for object-oriented programming and set of these metrics has been defined.
STUDENTS’ RELUCTANCE TO SPEAK IN ENGLISH CLASSROOM INTERACTION AT SENIOR HIGH SCHOOL A Study at SMA Pertiwi 2 Padang

Penelitian ini bertujuan untuk mengetahui faktor penyebab serta faktor yang paling dominan yang menyebabkan siswa enggan berbicara dalam kelas bahasa Inggris. Jumlah sampel dalam penelitian ini adalah 103 siswa. Penelitian ini merupakan penelitian deskriptif kualitatif dan dalam pengumpulan data menggunakan teknik purposive sampling untuk pemilihan partisipan dalam penelitian ini. Untuk pengumpulan data, menggunakan dua instrument yaitu observasi dan angket. Pada saat observasi peneliti mengambil video dan membuat field note sebagai alat pengumpul data. Sedangkan pada angket, peneliti membagikan angket berisi 58 butir pertanyaan berdasarkan indikator tentang penyebab keengganan siswa berbicara dalam kelas bahasa Inggris. Peneliti dapat menyimpulkan bahwa yang menjadi faktor penyebab keengganan siswa dalam berbicara bahasa Inggris adalah Psychological factor dengan total persentasi 47,1%, Linguistic factor dengan total persentasi 15,0% dan Sociocultural factor dengan total persentasi 37,9%. Jadi dari data diatas dapat disimpulkan bahwa faktor yang paling dominan yang menyebabkan siswa enggan dalam berbicara bahasa Inggris adalah Psychological factor.
Learning Equivalence Classes of Bayesian Network Structures

Approaches to learning Bayesian networks from data typically combine a scoring function with a heuristic search procedure. Given a Bayesian network structure, many of the scoring functions derived in the literature return a score for the entire equivalence class to which the structure belongs. When using such a scoring function, it is appropriate for the heuristic search algorithm to search over equivalence classes of Bayesian networks as opposed to individual structures. We present the general formulation of a search space for which the states of the search correspond to equivalence classes of structures. Using this space, any one of a number of heuristic search algorithms can easily be applied. We compare greedy search performance in the proposed search space to greedy search performance in a search space for which the states correspond to individual Bayesian network structures.
Reducing the LSQ and L1 data cache power consumption

In most modern processor designs, the HW dedicated to store data and instructions (memory hierarchy) has become a major con- sumer of power. In order to reduce this power consumption, we propose in this paper two techniques, one to filter accesses to the LSQ (Load-Store Queue) based on both timing and address information, and the other to filter accesses to the first level data cache based on a forwarding predic- tor. Our simulation results show that the power consumption decreases in 30-40% in each structure, with a negligible performance penalty of less than 0.1%.
Online communities and social networks: an ethnographic study of a Thai fan community

Title Online Communities and Social Networks: an ethnographic study of a Thai fan community By Pan Nilphan This thesis investigates how the social networks of Thai fans can be expanded through participation in an online community. We examine not only practices within online communities and social networks, but also broader contexts of the Internet which include fandom. Examining a Thai case illustrates how the use of the Internet is influenced by local contexts and cultures. Thai cultural values are used to explain the online social interactions of the Thai people. An online community of fans of the Thai novel, Petchprauma is selected for study. This community represents a ‘critical case’, where theoretical ideas concerning a decentralised role of the Internet, online fandom and relationships can be studied. This research was conducted using an ethnographic approach. The key methods comprised of non-participant observation, participant observation, textual analysis, and face-to-face interviews. This approach involved intensive participation as a Petchprauma fan both within the online and offline environments of the case study. The data collected from these different viewpoints was triangulated in order to ensure the validity, reliability and consistency of the research findings. This thesis argues that fans can expand their social networks through participation in on and offline activities. However, the degree of social network expansion is dependent on the fans’ positions in the hierarchical structure within the community. The difference in status of the community’s members results from the members’ levels of participations and personal characteristics. This finding also reflects the influential role of the Internet as social technology and as part of people’s daily lives, and as decentralised medium. The original contribution of this thesis is not only the study of the empirical data which provides original information for Thailand where there are a limited number of Internet studies, but also the use of particular analytical tools. Additionally, this thesis examines factors that contribute to different social status within online fan communities to explain the different degrees of social networks expansion of fans.
Artefactual 25-OH vitamin D concentration in multiple myeloma

The most commonly used techniques to measure vitamin D are automated immunoassays which are known to be affected by interferences, especially from immunoglobulins present in the patient’s serum. We present a case of a patient with myeloma in whom interference with the vitamin D assay was identified. An 83-year-old female, known to have IgG myeloma, was found to have a high concentration of 25-OH vitamin D on a routine test without any signs of vitamin D toxicity. She was not taking vitamin D supplements or any other multivitamin preparation and had minimal sun exposure. The initial and subsequent samples run by the ARCHITECT 25-OH vitamin D assay (chemiluminescent microparticle immunoassay technology, Abbott Laboratories, Abbott Park, IL) showed a high concentration of 25-OH vitamin D of 281 nmol/L and 327 nmol/L, respectively. Further fresh samples taken for 25-OH vitamin D and analysed by liquid chromatography-mass spectrometry (LC-MS/MS) and ARCHITECT analysis showed results of 49 nmol/L and 289 nmol/L, respectively. Our patient had high concentrations of circulating IgG paraproteins and had a long history of rheumatoid arthritis; paraproteins and rheumatoid factor may interfere in the assay. In conclusion, we report a case of a patient with IgG myeloma and rheumatoid arthritis with high concentrations of 25-OH vitamin D detected by the Abbott ARCHITECT, but not by a reference method (LC-MS/MS). The most likely cause of the discordant results is interference in the immunoassay by the paraprotein but interference from rheumatoid factor remains a possibility.
Design factors-customer behaviour relationship: The mediating role of emotions and cognition

Although the role of retail environment in general in affecting customer behaviour is highly acknowledged by marketing scholars, the mechanism of the effect is still a promising area of research. This working paper presents a conceptual framework to investigate the effect of the design factors of a mall’s shopping environment on customers’ behaviour in the context of Jordan. With the stimulus-organism-response (SOR) as a backbone, two competing mediation scenarios for emotion and cognition in this effect are posited. According to the first scenario, customers’ emotions and cognition are depicted to work independently in channelling the effect of design factors on customer behaviour, suggesting a one-step parallel mediation. In contrast, in accordance with the cognitive theory of emotions, this effect is posited to flow through a cognitive-emotional order of mediation, suggesting two-step sequential mediation. Accordingly and supported by the relevant literature, a conceptual model comprising nine research hypotheses is developed to be empirically tested in a further work.
The Association Between the Need for Affiliation and Traveler Type with the Motivation for Travel

The purpose of the study was to develop a conceptual framework and measures to identify the association of the need for affiliation and traveler profiles in shifts of motivations for travel. The instrument contained four types of questions: the revised Mehrabian Affiliative Tendency Scales, Driver's Recreation Experience Preference Scales, traveler and demographic profile questions. There was a significant difference between the factor mean scores for four of the five travel motivation factors among the three sub-groups as determined by their respective levels of affiliation. The results revealed that there was a significant difference between the factor mean scores for travel motivation among the three sub­ groups as determined by their respective preference for types of travel.
Towards security testing with taint analysis and genetic algorithms

Cross site scripting is considered the major threat to the security of web applications. Removing vulnerabilities from existing web applications is a manual expensive task that would benefit from some level of automatic assistance. Static analysis represents a valuable support for security review, by suggesting candidate vulnerable points to be checked manually. However, potential benefits are quite limited when too many false positives, safe portions of code classified as vulnerable, are reported. In this paper, we present a preliminary investigation on the integration of static analysis with genetic algorithms. We show that this approach can suggest candidate false positives reported by static analysis and provide input vectors that expose actual vulnerabilities, to be used as test cases in security testing.
Analyzing Protein Structure Using Almost-Delaunay Tetrahedra

Delaunay tessellations and Voronoi diagrams capture proximity relationships among sets of points. When applied to points representing protein atoms or residue positions, they are used to compute molecular surfaces and protein volumes, to define cavities and pockets, to analyze and score packing interactions, and to find structural motifs. Since atom and residue coordinates are known imprecisely, we explore the effect of coordinate perturbation on Delaunay-based scoring and motif finding. We define and compute the almost-Delaunay tetrahedra , which are tetrahedra that can become part of a Delaunay tessellation if the point coordinates are perturbed by at most ≥ 0, and the probability that each is Delaunay assuming random Gaussian perturbations of all points. By analyzing these tetrahedra, we show that Delaunay four-body potential functions are robust and derive a new method to detect structural motifs. An implementation in MATLAB is available from http://www.cs. unc.edu/ ∼debug/papers/AlmDel .