Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATING SCIENTIFIC PUBLICATIONS BY N–LINEAR RANKING MODEL

Ranking has been applied in many domains using recommendation systems such as search engine, e-commerce, and so on. We will introduce and study N-linear mutual ranking, which can rank n classes of objects at once. The ranking scores of these classes are dependent to the others. For instance, PageRank by Google is a 2-linear ranking model, which ranks the web-pages and links at once. Particularly, we focus to N - star ranking model and demonstrate it in ranking conference and journal problems. We have conducted the experiments for the proposed models to classical ones. The experiments are based on the DBLP dataset, which contains more than one million papers, authors and thousands of conferences and journals in computer science. The experimental results show that N -star ranking model evaluates everything much more detail based on the context of their relationships.
Multihomed HWN Policy Framework Signalling Delivery

This paper presents an XML based policy framework to approach flow distribution issues for multihoming and Mobile Internet Protocol Version 6 (MIPv6) enabled Heterogeneous Wireless Networks (HWN). In such a heterogeneous environment, flow distribution policies are first defined depending on mobility decisions, service agreements and user & provider interactions. Each traffic session is coupled with an identifiable binding identification (BID) while heterogeneous interfaces are regulated by policy engines. In application layer, the protocol/algorithm agnostic Extensible Markup Language (XML) signalling is used to develop a policy management framework. The ultimate goal of the framework is to improve the Quality of Service (QoS), Quality of Experience (QoE), HWN transparency and ubiquitous connectivity.
Design and Analysis of Meander Microstrip Antenna at Wireless Band

Meander line antenna (MLA) is an electrically small antenna which poses several performance related issues such as narrow bandwidth, high VSWR, low gain and high cross polarization levels. This paper describe the design ,simulation and development of meander line microstrip antenna at wireless band, the antenna was modeled using microstrip lines and S parameter for the antenna was obtained. The properties of the antenna such as bandwidth, beamwidth, gain, directivity, return loss and polarization were obtained. Keywords: Meander line, wireless band and substrate.
Can we always trust entropy minima in the ICA context?

Marginal entropy can be used as cost function for blind source separation (BSS). Recently, some authors have experimentally shown that such information-theoretic cost function may have spurious minima in specific situations. Hence, one could face spurious solutions of the BSS problem even if the mixture model is known, exactly as when using the maximum-likelihood criterion. Intuitive justifications of the spurious minima have been proposed, when the sources have multimodal densities. This paper aims to give mathematical arguments, complementary to existing simulation results, to explain the existence of such minima. This is done by first deriving a specific entropy estimator. Then, this estimator, although reliable only for multimodal sources with small-overlapping Gaussian modes, allows one to show that spurious minima may exist when dealing with such sources.
Effect of vitamin D therapy on endothelial function in ischemic heart disease female patients with vitamin D deficiency or insufficiency: A primary report

BACKGROUND Vitamin D deficiency is associated with vascular endothelial dysfunction. We evaluated endothelial function in ischemic heart disease (IHD) patients with vitamin D deficiency or insufficiency before and after vitamin D therapy. METHODS An uncontrolled before-after study was conducted in Isfahan, Iran on consecutive sample of female IHD patients who had undergone percutaneous coronary intervention in the preceding 6 months and/or referred with chronic stable angina. Forty patients with vitamin D deficiency or insufficiency (serum 25-hydroxy vitamin D < 20 or 20-30 ng/ml, respectively) were included and received two intramuscular injections of 300,000 IU cholecalciferol with 1 month interval. Endothelial function, assessed by measuring flow-mediated dilatation (FMD), and serum 25-hydroxy vitamin D level were measured at baseline and 1 month after the second dose of cholecalciferol. RESULTS A total of 30 patients completed the study, age = 59.4 ± 8.7 years; serum 25-hydroxy vitamin D = 19.0 ± 6.5 ng/ml. After treatment, serum 25-hydroxy vitamin D was reached to > 30 ng/ml in all patients. Brachial artery diameter (mm) after ischemia increased significantly, statistically but not clinically (4.55 ± 0.37 to 4.67 ± 0.38, P < 0.001). Furthermore, FMD (%) was increased from 1.96 ± 1.65 to 4.65 ± 1.27 (P < 0.001). The amount of change in FMD was not significantly correlated with serum 25-hydroxy vitamin D (r = 0.038, P = 0.858). CONCLUSION Endothelial function was improved after vitamin D therapy in IHD patients with low serum vitamin D. Controlled studies with larger sample size are required to confirm if vitamin D therapy has effects on endothelial function.
Compact Summaries over Large Datasets

A fundamental challenge in processing the massive quantities of information generated by modern applications is in extracting suitable representations of the data that can be stored, manipulated and interrogated on a single machine. A promising approach is in the design and analysis of compact summaries: data structures which capture key features of the data, and which can be created effectively over distributed data sets. Popular summary structures include the count distinct algorithms, which compactly approximate item set cardinalities, and sketches which allow vector norms and products to be estimated. These are very attractive, since they can be computed in parallel and combined to yield a single, compact summary of the data. This tutorial introduces the concepts and examples of compact summaries.
Dissemination of Evidence-Based Behavioral Advice via Video in Pediatric Primary Care

Background. Research suggests that multimedia-based interventions possess advantages for disseminating safe and effective methods of behavior management to parents in pediatric primary care; however, little is known about their utilization in real-life settings. In order to maximize the impact of multimedia resources, more knowledge regarding dissemination and implementation is needed. Objective. To examine provider and parental perception and utilization of videos designed to communicate evidence-based parenting strategies for disruptive behavior. Videos were available in clinic and online. Results. Both provider and parent perceptions of the videos were largely positive. However, of 240 parents surveyed, only 33% were aware of the availability of videos subsequent to a well-child visit. Parents were unlikely to view the videos if they did not do so as part of their child’s health care visit. Conclusion. Multimedia interventions for behavior management are likely to be well received, but systematic methods of implementation are needed. Further study of dissemination of multimedia interventions is merited.
GAPSCORE: finding gene and protein names one word at a time

MOTIVATION New high-throughput technologies have accelerated the accumulation of knowledge about genes and proteins. However, much knowledge is still stored as written natural language text. Therefore, we have developed a new method, GAPSCORE, to identify gene and protein names in text. GAPSCORE scores words based on a statistical model of gene names that quantifies their appearance, morphology and context. RESULTS We evaluated GAPSCORE against the Yapex data set and achieved an F-score of 82.5% (83.3% recall, 81.5% precision) for partial matches and 57.6% (58.5% recall, 56.7% precision) for exact matches. Since the method is statistical, users can choose score cutoffs that adjust the performance according to their needs. AVAILABILITY GAPSCORE is available at http://bionlp.stanford. edu/gapscore/
ERADICATION OF THE LITTLE FIRE ANT, WASMANNIA AUROPUNCTATA (HYMENOPTERA: FORMICIDAE), FROM MARCHENA ISLAND, GALÁPAGOS: ON THE EDGE OF SUCCESS?

Abstract The development of effective techniques to eradicate populations of invasive ant species is crucial to the conservation of native biodiversity. An intensive program was initiated in 2001 to eradicate the invasive little fire ant, Wasmannia auropunctata (Roger) from ∼21 ha on Marchena Island in the Galápagos Archipelago. Linear transects, approximately 10 m apart, were cut through the vegetation of the infested area and a buffer zone of 6 ha. Amdro® (Hydramethylnon) was applied manually up to three times in the treatment area at three-month intervals between March and October 2001. To date, five follow-up monitoring surveys have placed sticks painted with peanut butter in a grid 3-4 m apart. Two small populations (0.1% of the area originally occupied by W. auropunctata) were detected in April and October 2002 and were subsequently treated with Amdro®. No W. auropunctata ants were found in May 2003 and April 2004. Five nocturnal surveys carried out in the immediate area of introduction of W. auropunctata did not detect any individuals. Monitoring surveys will continue for an additional two years to ensure eradication of any remaining populations and verify the success of this program. This paper discusses the procedures used to kill W. auropunctata and monitor the efficacy of the eradication methods, the program’s costs, and its applicability to other island ecosystems.
Suppression of Autoimmune Diabetes by Viral IL-10 Gene Transfer1

Th1 cell activation and cytokine production shift the balance between Th1 and Th2, favoring the up-regulation of proinflammatory activity that leads to destruction of insulin-producing pancreatic β cells in type 1 diabetes. Th2-type cytokines, such as IL-10, have immune regulatory function. Administration of IL-10, or IL-10 gene transfer, prevents autoimmune diabetes in nonobese diabetic (NOD) mice. However, constant administration of purified rIL-10 is not practical for long-term therapy to prevent diabetes. In this study, we transferred the BCRF-1 gene, an open reading frame in the Epstein-Barr viral genome with remarkable homology to mouse IL-10 (viral IL-10 or vIL-10), by an adeno-associated viral (AAV) vector to NOD mice to attain sustained vIL-10 gene expression. Like endogenous mouse IL-10, vIL-10 has potent immunoregulatory and immunosuppressive functions, but can be specifically distinguished from endogenous mouse IL-10 for monitoring of the transgene expression. A single systemic administration of AAV vIL-10 significantly reduced insulitis and prevented diabetes development in NOD mice. This protective effect correlated with sustained transgene expression and protein production. Moreover, splenocytes from the treated mice blocked diabetes transfer to NOD recipients, suggesting that vIL-10 induces an active suppression of autoimmunity. This study provides evidence to support the possibility of using vIL-10 gene therapy to prevent type 1 diabetes.
From young massive star cluster to old globular: the LV–σ0 relationship as a diagnostic tool

We present a new analysis of the properties of the young massive star clusters (YMCs) forming profusely in intense starburst environments, which demonstrates that these objects are plausible progenitors of the old globular clusters (GCs) seen abundantly in the Local Group. The method is based on the tight relationship for old GCs between their V-band luminosities, L V , and (central) velocity dispersions, σ 0 . We improve the significance of the relationship by increasing the GC sample size and find that its functional form, L V /L ○. σ 1.57±0.10 0 (km s -1 ), is fully consistent with previous determinations for smaller Galactic and M31 GC samples. The tightness of the relationship for a GC sample drawn from environments as diverse as those found in the Local Group implies that its origin must be sought in intrinsic properties of the GC formation process itself. We evolve the luminosities of those YMCs in the local Universe which have velocity dispersion measurements to an age of 12 Gyr, adopting a variety of initial mass function (IMF) descriptions, and find that most YMCs will evolve to loci close to, or to slightly fainter luminosities than the improved GC relationship. In the absence of significant external disturbances, this implies that these objects may potentially survive to become old GC-type objects over a Hubble time. The main advantage of our new method is its simplicity. Whereas alternative methods, based on dynamical mass estimates, require one to obtain accurate size estimates and to make further assumptions, the only observables required here are the system's velocity dispersion and luminosity. The most important factor affecting the robustness of our conclusions is the adopted form of the IMF. We use the results of N-body simulations to confirm that dynamical evolution of the clusters does not significantly alter our conclusions about the likelihood of individual clusters surviving to late times. Finally, we find that our youngest observed clusters are consistent with having evolved from a relation of the form L V /L ○. σ 2.1+0.5-0.4 0 (km s -1 ). This relation may actually correspond to the origin of the GC fundamental plane.
Integration between WSNs and Internet based on Address Internetworking for Web

There has been an increasing interest in wireless sensor networks as a new technology to realize ubiquitous computing, and demands for internetwork- ing technology between the wireless sensor networks and the Internet which is based on IP address. For this purpose, this paper proposes and implements the internet- working scheme which assigns IP addresses to the sensor nodes and internetworks based on the gateway-based integration for internetworking between the wireless sensor networks and the Internet. That is, the proposed scheme makes the access to the wireless sensor networks be serviced as like the Web service with internet- working Internet IP address and ZigBee address which is allocated to the sensor node in wireless sensor networks. For validating the proposed scheme, we made ex- periments using Berkeley TinyOS, Mica Motes, dual protocol stack based on ZigBee and IP, and showed the service result using browser (IE) and IPv6 address based on DNS.
MoDisSENSE: A Distributed Spatio-Temporal and Textual Processing Platform for Social Networking Services

The amount of social networking data that is being produced and consumed daily is huge and it is constantly increasing. A user's digital footprint coming from social networks or mobile devices, such as comments and check-ins contains valuable information about his preferences. The collection and analysis of such footprints using also information about the users' friends and their footprints offers many opportunities in areas such as personalized search, recommendations, etc. When the size of the collected data or the complexity of the applied methods increases, traditional storage and processing systems are not enough and distributed approaches are employed. In this work, we present MoDisSENSE, an open-source distributed platform that provides personalized search for points of interest and trending events based on the user's social graph by combining spatio-textual user generated data. The system is designed with scalability in mind, it is built using a combination of latest state-of-the art big data frameworks and its functionality is offered through easy to use mobile and web clients which support the most popular social networks. We give an overview of its architectural components and technologies and we evaluate its performance and scalability using different query types over various cluster sizes. Using the web or mobile clients, users are allowed to register themselves with their own social network credentials, perform socially enhanced queries for POIs, browse the results and explore the automatic blog creation functionality that is extracted by analyzing already collected GPS traces.
Water vapor adsorption on torrefied corn stover

The equilibrium moisture content (EMC) of biomass affects transportation, storage, downstream feedstock processing, and the overall economy of biorenewables production. Torrefaction is a thermochemical process conducted in the temperature regime between 200 and 300°C under an inert atmosphere that, among other benefits, aims to reduce the innate hydrophilicity and susceptibility to microbial degradation of biomass. The EMC of raw corn stover, along with corn stover thermally pretreated at three temperatures, was measured using the static gravimetric method at equilibrium relative humidity (ERH) and temperatures ranging from 10 to 98% and from 10 to 40°C, respectively. Microbial degradation of the samples was tested at 97% ERH and 30°C. Fiber analyses were conducted on all samples. In general, torrefied biomass showed an EMC lower than raw biomass, which implied an increase in hydrophobicity. Corn stover torrefied at 250 and 300°C had negligible dry matter mass loss due to microbial degradation. Fiber analysis showed a significant decrease in hemicellulose content with the increase in pretreatment temperature, which might be the reason for the hydrophobic nature of torrefied biomass. The outcomes of this work can be used for torrefaction process optimization, and decision-making regarding raw and torrefied biomass storage and downstream processing.
Experimental and mathematical analysis of cAMP nanodomains

In their role as second messengers, cyclic nucleotides such as cAMP have a variety of intracellular effects. These complex tasks demand a highly organized orchestration of spatially and temporally confined cAMP action which should be best achieved by compartmentalization of the latter. A great body of evidence suggests that cAMP compartments may be established and maintained by cAMP degrading enzymes, e.g. phosphodiesterases (PDEs). However, the molecular and biophysical details of how PDEs can orchestrate cAMP gradients are entirely unclear. In this paper, using fusion proteins of cAMP FRET-sensors and PDEs in living cells, we provide direct experimental evidence that the cAMP concentration in the vicinity of an individual PDE molecule is below the detection limit of our FRET sensors (<100nM). This cAMP gradient persists in crude cytosol preparations. We developed mathematical models based on diffusion-reaction equations which describe the creation of nanocompartments around a single PDE molecule and more complex spatial PDE arrangements. The analytically solvable equations derived here explicitly determine how the capability of a single PDE, or PDE complexes, to create a nanocompartment depend on the cAMP degradation rate, the diffusive mobility of cAMP, and geometrical and topological parameters. We apply these generic models to our experimental data and determine the diffusive mobility and degradation rate of cAMP. The results obtained for these parameters differ by far from data in literature for free soluble cAMP interacting with PDE. Hence, restricted cAMP diffusion in the vincinity of PDE is necessary to create cAMP nanocompartments in cells.
Robust Human Motion Recognition Based on Multi-directional Motion Representation

A robust human motion recognition method is proposed in this paper. The basic motion history image (MHI) has been updated considering multidimensional history and energy images to calculate the feature vectors for recognizing various complex human motions. The 'rajio-taiso' (Japanese Radio Exercise) has been recognized by employing the method. This exercise was conducted by some non-professionals and hence the input video data has lots of disarray and variations along with the complex movements of the exercise. The recognition rate has been satisfactory in spite of the complex nature of the input data, whereas the basic motion history image was performed with the video data of aerobics exercise, performed by professionals and formal environment.
Emulation of processing in memory architecture for application development

Since the new technologies like big data and cloud computing require tremendous amount of transactions between processors and memory, researches on a new memory system called Processing in Memory (PIM) architecture has been suggested as a solution for those memory intensive applications. To make software utilize the new architecture, a development environment with tool chain and debug infrastructures supplementing extended instruction sets and target emulation is needed. This paper introduces a way to emulate a target platform having PIM architecture memory device. The emulated platform may use the PIM device as a system memory or simple memory mapped bus device. The actual PIM architecture is implemented in both cycle-based memory simulator and FPGA based hardware platform. The emulator has a bridge for these implementations so the emulated target platform may be freely used with early stage application development for the PIM architecture.
Through-the-wall sar attributed scattering center feature estimation

We consider characterization of building interior structure from two-pass interferometric circular SAR data. We extract dihedral and trihedral scattering primitives that dominate mono-static returns from buildings. The 3D location of each scattering primitive is estimated using the phase information in two-pass data. Using simplified wall and primitive models, we match model signatures to the extracted features using a hypothesis selection and refinement loop. Examples illustrate the effectiveness of the feature extraction approach.
RIME: a replicated image detector for the World Wide Web

This paper describes RIME (Replicated IMage dEtector), an alternative approach to watermarking for detecting unauthorized image copying on the Internet. RIME profiles internet images and stores the feature vectors of the images and their URLs in its repository. When a copy detection request is received, RIME matches the requested image's feature vector with the vectors stored in the repository and returns a list of suspect URLs. RIME characterizes each image using Daubechies' wavelets. The wavelet coefficients are stored as the feature vector. RIME uses a multidimensional extensible hashing scheme to index these high-dimensional feature vectors. Our preliminary result shows that it can detect image copies effectively. It can find the top suspects and copes well with image format conversion, resampling, and requantization.
Information entropy method for project portfolio selection

Project portfolio management is about making strategic choices, resource allocation. Project portfolio management has been considered as the bridge between enterprise strategic management and project management. It focuses on project selection and chooses the right projects from the many opportunities the enterprises face. There are relative popularity of various portfolio selection methods—from financial methods to strategic approaches, bubble diagrams and scoring approaches. Popular methods are investigated and compared in this research. Although conceptually appealing and perhaps the most rigorous mathematically based portfolio models see more visibility in text books and journal articles than in corporate offices. The authors provide an information entropy method for project portfolio selection. Besides combining several important methods and criteria, information entropy weights acted as weight coefficients for evaluating criteria in order to avoid uncertainty and randomicity of subjective judgments. The method proposed in this paper provides a quantificational evaluation method for enterprises to select project and project portfolio.