Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fast And Energy Efficient Path Planning Algorithm For Offline Navigation Using Svm Classifier

: Nowadays finding a path comes in handy using navigation software like maps through GPS devices. In this setup, the visualization of route in the maps requires path information from Google server for path and GPS position from GPS system (in-built) for locations. Hence there is a need of path information for visualization which is to be fetched from the internet. However the facility of fetching path information through internet is not available in every region, especially at remote forest. In such cases, offline based navigation systems will be very helpful. Offline navigation system is designed by machine learning technique. Since it is very useful in predicting appropriate path in a deterministic manner without being explicitly programmed and also there is no need of path information to compute. Support Vector Machine (SVM) algorithm is implemented as a machine learning technique. A major classification and regression technique in Machine Learning is SVM. As the data sets of path information which is given as a training data sets are not linearly distributed, Radial Basis Function(RBF) is used as a kernel function of SVM algorithm. After trained by SVM algorithm, it produces the hyper plane with enough margin to distinguish between the two datasets of human habitation path and the forest region. K mean clustering is used to find the centroid of human habitation path from the given datasets. The results of cluster datasets and model are saved for testing purpose. The trained SVM model is to be loaded to predict appropriate path with the input of current GPS position. The result of SVM output classifies whether the current GPS position is human habitation path or the forest region. The trained cluster of dataset is to be loaded which is used as for finding direction. The shortest distance can be determined using cosine distance between the current GPS position and clusters of centroid datasets. The minimum value is considered as the shortest distance and the direction is calculated between current GPS position and minimum valued cluster point.
Stock Market Liquidity and Macro-Liquidity Shocks: Evidence from the 2007-2009 Financial Crisis

We develop an empirical framework that links micro-liquidity, macro-liquidity and stock prices. We provide evidence of a strong link between macro-liquidity shocks and the returns of UK stock portfolios constructed on the basis of micro-liquidity measures between 1999-2012. Specifically, macro-liquidity shocks, which are extracted on the meeting days of the Bank of England Monetary Policy Committee (MPC) relative to market expectations embedded in 3-month LIBOR futures prices, are transmitted in a differential manner to the cross-section of liquidity-sorted portfolios, with liquid stocks playing the most active role. We also find that there is a significant increase in shares’ trading activity and a rather small increase in their trading cost on MPC meeting days. Finally, our results emphatically document that during the recent financial crisis the shocks-returns relationship has reversed its sign. Interest rate cuts during the crisis were perceived by market participants as a signal of deteriorating economic prospects and reinforced “flight to safety” trading.
A platform for big data analytics on distributed scale-out storage system

Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. Hadoop-based platform emerges to deal with big data. In Hadoop NameNode is used to store metadata in a single system's memory, which is a performance bottleneck for scale-out. Gluster file system has no performance bottlenecks related to metadata. To achieve massive performance, scalability and fault tolerance for big data analytics, a big data platform is proposed. The proposed big data platform consists of big data storage and big data processing. The Hadoop big data platform and the proposed big data platform are implemented on commodity Linux virtual machines clusters and performance evaluations are conducted. According to the evaluation analysis, the proposed big data platform provides better scalability, fault tolerance, and faster query response time than the Hadoop platform.
Mechanosensing of cells in 3D gel matrices based on natural and synthetic materials

Cells in vivo typically are found in 3D matrices, the mechanical stiffness of which is important to the cell and tissue‐scale biological processes. Although it is well characterized that as to how cells sense matrix stiffness in 2D substrates, the scenario in 3D matrices needs to be explored. Thus, materials that can mimic native 3D environments and possess wide, physiologically relevant elasticity are highly desirable. Natural polymer‐based materials and synthetic hydrogels could provide an better 3D platforms to investigate the mechano‐response of cells with stiffness comparable to their native environments. However, the limited stiffness range together with interdependence of matrix stiffness and adhesive ligand density are inherent in many kinds of materials, and hinder efforts to demonstrate the true effects contributed by matrix stiffness. These problems have been addressed by the recently emerging exquisitely designed materials based on native matrix components, designer matrices, and synthetic polymers. In this review, a variety of materials with a wide stiffness range that mimic the mechanical environment of native 3D matrices and the independent affection of stiffness for cellular behavior and tissue‐level processes are discussed.
The Flagellar Sigma Factor FliA Regulates Adhesion and Invasion of Crohn Disease-associated Escherichia coli via a Cyclic Dimeric GMP-dependent Pathway*

The invasion of intestinal epithelial cells by the Crohn disease-associated adherent-invasive Escherichia coli (AIEC) strain LF82 depends on surface appendages, such as type 1 pili and flagella. The absence of flagella in the AIEC strain LF82 results in a concomitant loss of type 1 pili. Here, we show that flagellar regulators, transcriptional activator FlhD2C2, and sigma factor FliA are involved in the coordination of flagellar and type 1 pili synthesis. In the deletion mutants lacking these regulators, type 1 pili synthesis, adhesion, and invasion were severely decreased. FliA expressed alone in trans was sufficient to restore these defects in both the LF82-ΔflhD and LF82-ΔfliA mutants. We related the loss of type 1 pili to the decreased expression of the FliA-dependent yhjH gene in the LF82-ΔfliA mutant. YhjH is an EAL domain phosphodiesterase involved in degradation of the bacterial second messenger cyclic dimeric GMP (c-di-GMP). Increased expression of either yhjH or an alternative c-di-GMP phosphodiesterase, yahA, partially restored type 1 pili synthesis, adhesion, and invasion in the LF82-ΔfliA mutant. Deletion of the GGDEF domain diguanylate cyclase gene, yaiC, involved in c-di-GMP synthesis in the LF82-ΔfliA mutant also partially restored these defects, whereas overexpression of the c-di-GMP receptor YcgR had the opposite effect. These findings show that in the AIEC strain LF82, FliA is a key regulatory component linking flagellar and type 1 pili synthesis and that its effect on type 1 pili is mediated, at least in part, via a c-di-GMP-dependent pathway.
A high intake of industrial or ruminant trans fatty acids does not affect the plasma proteome in healthy men

Consumption of industrial trans fat raises the risk of cardiovascular disease, but it is unclear whether cis9,trans11‐conjugated linoleic acid (CLA) – a trans fatty acid in dairy products – modulates disease development. We investigated the effects of complete diets providing 7% of energy as industrial trans fat or cis9, trans11 CLA, compared with oleic acid, on regulation of plasma proteins in 12 healthy men. Diets were provided for 3 wk each, in random order. Plasma was collected at the end of each 3 wk intervention period, depleted of its 12 most abundant proteins and analyzed by 2‐DE. Principal component analysis of protein spot intensity values revealed that the nature of the dietary intervention did not significantly affect the plasma proteome. The intervention provided in the 1st period produced a significant treatment effect compared with the interventions provided in the other two periods, and there was a significant subject effect. In conclusion, the nature of an extreme dietary intervention, i.e. 7% of energy provided by industrial trans fat or cis9,trans11 CLA, did not markedly affect the plasma proteome. Thus plasma proteomics using 2‐DE appears, by and large, an unsuitable approach to detect regulation of plasma proteins due to changes in the diet.
ServiceGlobe: Flexible and Reliable Web Services on the Internet

Generic Dispatcher Service 5 ● A single service instance is not sufficient to provide low response times and high availability. ● Therefore, several instances of a service run concurrently on several hosts and our dispatcher avoids load skews performing load balancing. ● This dispatcher service (Layer-7 switch), acts as proxy for arbitrary services and is a generic solution for such situations. ● The dispatcher is implemented as a regular service. Therefore, it is more flexible, extensible, and seamlessly integrated into the service platform. ● Special feature: automatic service replication
Prolonged Bottle Use and Its Association With Iron Deficiency Anemia and Overweight: A Preliminary Study

To determine the prevalence of prolonged bottle feeding practices in young children, and its association with body mass index (BMI) and iron deficiency anemia (IDA), we conducted a cross-sectional survey study at 3 Bronx, NY, WIC sites. Caregivers of 95 predominantly Hispanic and African-Arnerican WIC-enrolled children aged 18-56 months presenting for recertification completed questionnaires. Half were overweight (>85th% BMI) and 36% were obese (>95th% BMI); 21% met CDC criteria for anemia. Two thirds (63%) received daily bottles of milk or sweet liquids. Daily bottle use ranged from 3 to 10 (mean=3.3, median=3). Bottle use was significantly associated with obesity (>95th% BMI, p<0.0005), not significant with overweight (>85th% BMI, p<0.06) and statistically significant with IDA.
Substation Electromagnetic Interference Part 2: Susceptibility Testing and EMI Simulation in High Voltage Laboratories

Susceptibility testing techniques for conducted and radiated interference are presented in detail. Withstand levels and test procedures are described. The relationship between substation transients and those generated in high voltage laboratories is discussed with data presented. The problem of instrumentation in these laboratories is presented with quantitative comparisons to substation EilI levels. A qualitative evaluation of those transients which Cdn be generated in thie typical laboratory is included. The use of interference sinmulators is also discussed.
Dieting and weight concerns among Finnish adolescents

The aim of the study was to examine factors associated with dieting and weight concerns among Finnish adolescents. A school-survey included a 9-item screening scale for assessing attitudes and behaviors involving dieting and body image and a self-report measure of the Strengths and Difficulties Questionnaire assessing emotional and behavioral problems. Altogether 1458 questionnaires were analyzed, which accounted for about 89% of the target population including all the 7th and the 9th graders in two cities in Finland. According to the results, dieting and weight concerns were extremely common among Finnish adolescents. For all aspects of weight control and dieting concerns, the rates of occurrence were greater among girls. A high level of dieting concerns was associated with female sex, body mass, emotional, conduct, and hyperactivity symptoms, and alcohol use.
Two-Hemisphere Model Based Approach to Modelling of Object Interaction

It is a modern trend to use automatic transformations of different type of models to develop a software system. Software engineers have quite enough notations to present models at different levels of abstraction and at different stages of software development project. UML is an industrial standard for system modeling and specification and offers notational conventions for presentation of both aspects of the system – dynamic as well as static one. Currently, the research focuses in the area of software system modeling and model transformation is turned exactly to the dynamic aspect of the system. We propose to use the so called two-hemisphere model for receiving a set of elements, which are used for modeling an object interaction as a central part of the system dynamic presentation. The paper describes the main principles of the two-hemisphere model transformation into the UML sequence diagrams, as well as compares it to other transformation approaches.
Euclidean reconstruction of natural underwater scenes using optic imagery sequence

ix Chapter I – INTRODUCTION . 1 1.1 Background . 1 1.1.1 The Human Vision System . 1 1.1.2 Overview of Stereo Vision . 2 1.2 Purpose of Study . 4 1.2.1 Problems of 3D Reconstruction in Underwater Environment . 4 1.2.2 Research Purpose . 6 1.3 Related Work . 7 1.4 Data Acquisition and Description . 8 1.5 Thesis Outline . 10 Chapter II GEOMETRY IN COMPUTER VISION . 11 2.1 Single-View Geometry . 11 2.2 Camera Calibration and Image Correction . 14 2.3 Two-View Geometry . 16 2.3. 1 The Fundamental Matrix . 16
Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches. The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland. Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.
Incarceration rates of persons with first-admission psychosis.

OBJECTIVE This prospective study examined jail stay in a cohort of persons with schizophrenia and other psychotic disorders who experienced their first hospital admission and who were participating in the Suffolk County Mental Health Project. Demographic and clinical risk factors for jail placement were investigated over a four-year period after hospital discharge. METHODS The sample included 538 first-admission respondents diagnosed as meeting DSM-IV criteria for having schizophrenia, psychotic mood disorder, or other psychotic disorders. Initial interviews occurred in the hospital; face-to-face follow-ups occurred at the six-, 24-, and 48-month points, and telephone contact was maintained every three to six months. Multivariate logistic regression analysis was used to examine the demographic and clinical risk factors. RESULTS Forty-seven respondents (9%) were incarcerated over the follow-up period. Among them, 20 were incarcerated multiple times. The prevalence, incidence, reasons for incarceration, and time served did not vary significantly by diagnosis. The most significant predictors of jail stay and time to incarceration during the follow-up were being male or black and having been incarcerated before admission. Predictive effects of other risk factors (for example, symptom severity or substance abuse) were smaller or statistically insignificant. CONCLUSIONS The results suggest a need for mental health care professionals to routinely evaluate, document, and collaboratively address incarceration history, especially when working with black males, in an effort to avert future incarceration.
Closely Related Mycobacterial Strains Demonstrate Contrasting Levels of Efficacy as Antitumor Vaccines and Are Processed for Major Histocompatibility Complex Class I Presentation by Multiple Routes in Dendritic Cells

ABSTRACT Mycobacteria expressing recombinant antigens are already being developed as vaccines against both infections and tumors. Little is known about how dendritic cells might process such antigens. Two different mycobacterial species, the fast-growing Mycobacterium smegmatis and the slow-growing M. bovis M. bovis BCG, were engineered to express a model tumor antigen, the Kb-restricted dominant cytotoxic T-lymphocyte epitope OVA257-264. Recombinant M. bovis BCG but not recombinant M. smegmatis conferred protection to mice challenged with the B16-OVA tumor cell line. We went on to investigate whether the contrast in antitumor efficacy could be due to differences in how dendritic cells process antigen from the two mycobacterial strains for class I presentation. Both strains of mycobacteria caused phenotypic maturation of dendritic cells, but recombinant M. smegmatis infection led to a greater degree of dendritic cell maturation than recombinant M. bovis BCG infection. Antigen from recombinant M. smegmatis was processed and presented as OVA257-264 on Kb molecules by the dendritic cell line DC2.4 but not by bone marrow-derived dendritic cells (BMDC) or splenic dendritic cells. In contrast, antigen from recombinant M. bovis BCG was presented by all three dendritic cell types as long as the mycobacteria were viable. Such presentation was dependent on proteasome function and nascent major histocompatibility complex (MHC) class I molecules in DC2.4 cells but independent of the proteasome and transporter associated with antigen processings (TAP) in BMDC and splenic dendritic cells. These data demonstrate for the first time that antigen vectored by the slow-growing M. bovis BCG but not that vectored by fast-growing, readily destroyed M. smegmatis is processed and presented on MHC class I by in vitro-generated dendritic cells, which has implications for recombinant microbial vaccine development.
Human Cytomegalovirus Infection of Immature Dendritic Cells and Macrophages

A central aspect of human cytomegalovirus (HCMV) pathogenesis is the interaction of the virus with different antigen-presenting cell (APC) types of the host. In principle, a number of various cell types have the potential of antigen presentation when MHC II expression is induced by appropriate stimuli. The most potent antigen presenters are monocytes/macrophages and dendritic cells (DCs), therefore called professional APCs. Interestingly, these cells seem to be targets of productive HCMV infection. The susceptibility of the monocyte/macrophage system has been analyzed intensively during the past decade. Investigation of the role of DCs during HCMV infection, however, has begun only recently.
When comparative advantage is not enough: business costs in small remote economies

This paper uses a newly collected dataset on business costs to investigate empirically whether small and remote economies are inherently uncompetitive. Although in theory these economies can overcome their small size by specialising and trading, this may not be enough to generate acceptable incomes because they face a combination of diseconomies of small scale and high transaction costs. We conclude that there are almost certainly some very small economies for which this is true. These economies are likely to become less attractive for commercial activities as globalization proceeds and their current trade preferences are eroded. The policy solution is not protection, however, but proactive policies from the international community.
Phosphorylation of Threonine 210 and the Role of Serine 137 in the Regulation of Mammalian Polo-like Kinase*

The mammalian polo-like kinase (Plk) plays a critical role in M-phase progression. Plk is phosphorylated and activated by an upstream kinase(s), which has not yet been identified in mammalian cells. Phosphopeptide mapping and phosphoamino acid analyses of Plk labeled in vivo and phosphorylated in vitro by Xenopus polo-like kinase kinase-1 (xPlkk1) or by lymphocyte-oriented kinase, its most closely related mammalian enzyme, indicate that Thr-210 is a major phosphorylation site in activated Plk from mitotic HeLa cells. Although the amino acid sequence surrounding Ser-137 is similar to that at Thr-210 and is conserved in Plk family members, Ser-137 is not detectably phosphorylated in mitotic mammalian cells or by xPlkk1 in vitro. Nevertheless, the substitution of either Thr-210 or Ser-137 with Asp (T210D or S137D) elevates the kinase activity of Plk. The kinase activity of the double mutant S137D/T210D is not significantly different from that of T210D or S137D, demonstrating that substitution of both residues does not have an additive effect on Plk activity. Expression of the S137D mutant construct arrested HeLa cells in early S-phase with slightly separated centrosomes, whereas cells expressing wild type and T210D were arrested or delayed in M-phase. These data indicate that the Ser-137 may have an unexpected and novel role in the function of Plk.
Comparative study and simulation of optimal converter topologies for SMES systems

In this paper a comparative study between different topologies for SMES (Superconducting Magnet Energy Storage) systems is presented. The study is based on the simulation of different options by using EMTP (Electromagnetic Transients Program). The comparison is mainly centered on two converter types: current and voltage converters. Although both topologies could be used for SMES systems, the simulation results give an excellent tool to select the more appropriate topology for any specific application. All the topologies analyzed are based on self-commutating devices (GTO or IGBT) and PWM mode control. This allows a fast and independent adjustment of both active and reactive powers, AC current harmonics minimization and four quadrants (P,Q) operation. <<ETX>>
Kernel Nonnegative Matrix Factorization with Constraint Increasing the Discriminability of Two Classes for the EEG Feature Extraction

Nonnegative matrix factorization (NMF) is an algorithm for blind source separation. It has been reported that the use of kernel NMF (KNMF) is a particularly feasible way to extract the features of a motor-imagery related EEG spectrum, which is often used in brain-computer interfaces (BCI). A BCI system enables users to control electrical devices without their hands or feet, and often requests to tell user's intention from motor-imagery related EEG features. In other words, a classification of the EEG signals reflecting the user's intentions is required. In this research, a constraint is placed on the KNMF to increase the discriminability between two classes, widening the difference between their spectral EEG energies. To evaluate the proposed method, the IDIAP database, which contains the motor-imagery related EEG spectrum of three subjects, was adopted for the discrimination between two classes. As a result, the classification accuracy when using the proposed constraint was approximately 78% on average, which is 4% higher than that obtained by KNMF without a constraint.