Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelo de Comportamento dos Participantes do SopCast

Apesar da crescente popularidade das aplicações de transmissão de mı́dia cont́ınua ao vivo em P2P, a compreensão atual de aspectos importantes do comportamento dos participantes, como o intervalo de chegada entre eles e tempo de permanência na rede, ainda é limitada. Este trabalho pretende preencher esta lacuna apresentando uma caracterização do comportamento dos participantes no SopCast, uma das aplicações mais populares de transmissão ao vivo sobre P2P. A análise apresentada inclui propriedades relativas à sessão, tais como intervalos entre chegada de novos participantes, tempo de permanência, número de sessões q e tempo de inatividade entre sessões. Também são apresentadas propriedades das parcerias entre os participantes, como número de parceiros e suas durações. Além disso, o estudo apresentado compreende diferentes canais do SopCast, destacando diferenças nos padrões de comportamento dependendo do conteúdo. As caracterizações apresentadas definem um modelo dos participantes, que pode ser usado como base para criação de novos protocolos e geração de cargas sintéticas realistas para transmissão ao vivo em P2P.
Integrin-Linked Kinase Controls Notch 1 Signaling by Down-Regulation of Protein Stability through Fbw 7 Ubiquitin Ligase

Integrin-Linked Kinase Controls Notch1 Signaling by Down-Regulation of Protein Stability through Fbw7 Ubiquitin Ligase Jung-Soon Mo,† Mi-Yeon Kim,† Seung-Ok Han, In-Sook Kim, Eun-Jung Ann, Kyu Shik Lee, Mi-Sun Seo, Jin-Young Kim, Seung-Chul Lee, Jeen-Woo Park, Eui-Ju Choi, Jae Young Seong, Cheol O. Joe, Reinhard Faessler, and Hee-Sae Park* Hormone Research Center, School of Biological Sciences and Technology, Chonnam National University, Gwangju 500-757, Department of Dermatology, Chonnam National University, Gwangju 501-757, Department of Biochemistry, College of Natural Sciences, Kyungpook National University, Taegu 702-701, National Creative Research Initiative Center for Cell Death, School of Life Science and Biotechnology, Korea University, Seoul 136-701, Lab of G Protein Coupled Receptors, Graduate School of Medicine, Korea University College of Medicine, Seoul 136-705, and Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Taejon 305-701, Republic of Korea, and Department of Molecular Medicine, Max Planck Institute of Biochemistry, Martinsried D-82152, Germany
Basic parameters governing the behaviour of cement-treated clays

Although extensive research has been conducted on the mechanical behaviour of Portland cement-treated soft clays, there has been less emphasis on the correlation of the observed behaviour with clay mineralogy. In this study, experimental results from the authors have been combined with the data found in the literature to investigate the effect of parameters such as curing time, cement content, moisture content, liquidity index, and mineralogy on the mechanical properties of cement-treated clays. The findings show that undrained shear strength and sensitivity of cemented clays still continue to increase after relatively long curing times; expressions are proposed to predict the strength and sensitivity with time. This parametric study also indicates the relative importance of the activity of the soil, as well as the water–cement ratio, to the mechanical properties of cementitious admixtures. Two new empirical parameters are introduced herein. Based on the results of unconfined compression, undrained triaxial, and oedometer tests on cement-enhanced clays, expressions that use these parameters to predict undrained shear strength, yield stress, and the slope of the compression line are proposed. The observed variations in the mechanical behaviour with respect to mineralogy and the important effect of curing time are explained in terms of the pozzolanic reactions. The possible limitations of applying Abrams' law to cement–admixed clays are also discussed. & 2014 The Japanese Geotechnical Society. Production and hosting by Elsevier B.V. All rights reserved.
Bearing-only SLAM using SIFT-based Object Recognition in Indoor Environments

Bearing-only SLAM is the process of building a map for unknown environments and localizing a robot relative to this map simultaneously using only a mono camera mounted on the robot. For bearing-only SLAM, landmarks should be continuously observed. If the robot fails to track the features, pose estimation of the robot becomes inaccurate. Most existing algorithms for bearing-only SLAM use corners or lines as landmarks, but they are hard to track continuously because they are not robust to the difference in the distance between the robot and landmarks while the robot moves. In this paper, bearing-only SLAM in indoor environments using the relative orientation of an object recognition based on the SIFT (Scale Invariant Feature Transform) algorithm is proposed. Experimental results show that the estimated robot pose is accurate enough to be used for building an accurate map.
ff ectiveness of Service-oriented Router for ISP-CDN Collaboration

This article discusses a novel method to strengthen the collaboration between Internet service providers (ISPs) and content delivery networks (CDNs). CDNs are becoming the primary data delivery method in information communication technology environments because information sharing via networks is becoming the driving force of the future Internet. Moreover, it is anticipated that network routers will be equipped with additional processing power and storage modules for providing efficient end-user services. Consequently, this article studies the effectiveness of introducing a Service-oriented Router (SoR) to strengthen the ISP-CDN collaboration to leverage DNS-based request redirection in CDNs. In contrast, the proposed method yields better performance in user redirection and network resource utilization, suggesting that using SoR may a future business model which addresses adequate ISP-CDN collaboration.
Analysis of Synchronization Phenomena with Frustration Networks

There are a lot of synchronization phenomena in this world. This is one of the nonlinear phenomena that we can often observe by natural animate beings which do collective actions. For example, firefly luminescence, cry of birds and frogs, applause of many people, and so on. Synchronization phenomena have a feature that the set of small power can produce very big power by synchronizing at a time. Therefore, study of synchronization phenomena has been widely reported not only in the engineering but also the physical and the biological fields. Investigation of coupled oscillators is focused on many researchers, because coupled oscillatory network produces interesting synchronization phenomena, such as the phase propagation wave, clustering, and complex patterns. In addition, it has the advantage of being able to manufacture for circuit on the board[1], [2], [3]. In this study, we investigate synchronization phenomena observed in the system model containing a ring and a star of van der Pol oscillators by circuit experiment and computer simulation. We observe several types of synchronization phenomena by increasing the coupling strength of the ring. Then, we observe the synchronization phenomena with computer simulation.
TextLink : Structuring Discourse in Multilingual Europe COST Action Number IS 1312 STSM Report

STSM Topic: Polish Discourse Treebank annotation model STSM Applicant: Maciej Ogrodniczuk STSM Type: Regular (from Poland to United Kingdom) STSM Reference Number: COST-STSM-IS1312-30618 / ECOST-STSM-IS1312-180416-068869 STSM Dates: From 18-04-2016 to 29-04-2016 Home Institution: Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland Host Institution: School of Informatics, The University of Edinburgh, UK
Automatic log parser to support forensic analysis

Event log parsing is a process to split and label each field in a log entry. Existing approaches commonly use regular expressions or parsing rules to extract the fields. However, such techniques are time-consuming as a forensic investigator needs to define a new rule for each log file type. In this paper, we present a tool, namely nerlogparser, to parse the log entries automatically, where log parsing is modeled as a named entity recognition problem. We use a deep machine learning technique, specifically the bidirectional long short-term memory networks, as the underlying architecture for this purpose. Unlike existing tools, nerlogparser is a fully automatic tool as the investigators do not need to define any parsing rules and it is generic as there is only one model to parse various types of log files. Experimental results show that nerlogparser achieves superior performance compared with other traditional machine learning methods.
An interactive tool for intelligent analysis of geo-temporal backbone monitoring data

—Due to the increased usage of the internet for all sort of human activities, the demand for high-quality communication services continually grows, which makes essential the detection of events that compromise the quality of these services. The intelligent analysis of the monitoring data produced by routers can reveal relevant patterns hidden on the massive volume of data archived and, therefore, help to guide decisions of network providers. This paper presents a graphical and interactive web tool that performs intelligent analysis of visually selected geo-temporal subsets of monitoring data collected by routers. The tool uses a variation of a data structure to store and selectively retrieve geo-temporal data to feed the intelligent analysis. At this time, the analysis module can detect anomalies and perform data predictions using selected Machine Learn algorithms present on Microsoft’s ML.Net framework.
Relative contribution of synoptic systems to monsoon rainfall over Orissa

ABSTRACT. The low/depression over northwest (NW) Bay of Bengal is the largest contributor to seasonal monsoon rainfall over all stations in Orissa and Orissa as a whole. The Low Pressure Systems (LPS) and cyclonic circulation (cycir) extending upto 500 hPa level over NW Bay of Bengal alone contribute about 22% to the seasonal monsoon rainfall through about 12 days. The monsoon trough without any significant embedded systems over Orissa and adjoining regions contributes about 28% to seasonal rainfall through about 55 days. All types of LPS including low, depression and cyclonic storm yield maximum rainfall in their left forward (southwest) sectors. The maximum rainfall belt lies more southward due to a depression compared to that due to a low. The spatial distribution of rainfall due to cycir is less systematic. The interaction due to Eastern Ghat plays a significant role in spatial distribution of rainfall over western and eastern sides of the Eastern Ghat due to monsoon lows and depressions over Orissa and adjoining Bay and land regions. The orographic interaction due to Eastern Ghat with the cycirs over Orissa and adjoining Bay and land regions is significantly less leading to no significant difference in spatial distribution of rainfall over eastern and western sides of the Eastern Ghat.
Noise Figure Minimization of RC Polyphase Filters

∗ austriamicrosystems AG, A-8141 Unterpremstätten, Schloss Premstatten, Austria, phone: +43 3136 500 5574, e-mail: Janos.Ladvanszky@austriamicrosystems.com Abstract − Sideband suppression of RC polyphase filters is independent of the source and load impedances. This property is valid for any number of stages and any detuning between the stages. Consequently, noise figure minimization can be done independently of the adjustment of sideband suppression. A formula for noise figure of passive two-ports is obtained, and noise figure of polyphase filters is minimized. The noise figure is strongly dependent on the source resistance and capacitance. A formula for the lower bound of the noise figure of n stage polyphase filters is given. For a two-stage filter providing better than -25 dB sideband suppression over two octaves, a minimum noise figure of 10.18 dB was found.
A Transdermal Formulation of Icariin for Use as a Substitute for Sildenafil and a Showing of No Clinical Efficacy

Icariin, considered to be the active compound in the herb Epimedium (also known as Horny Goat Weed) has been shown to be possibly erectogenic in a variety of animal studies, leading to its popularity as an herbal supplement for ED even though there are essentially no human studies supporting its effectiveness.Icariin is highly insoluble, and many studies have additionally reported that Icariin is not absorbed in the gut due to a very low bioavailability. The purpose of this study was to solubilize Icariin in the formulation of a transdermal cream which would deliver the compound directly to the blood stream bypassing poor intestinal absorption; and by informal testing of the transdermal cream on volunteer subjects, to determine if the erectogenic effects of icariin could be improved. This study demonstrates that icariin, delivered via the transdermal route, failed to demonstrate any efficacy of icariin for ED, conforming to another recent study reporting no effect upon oral adminstration.
Optimal Travel Route Discovery based on Topic Interest and Image Attributes

: Recommendation in travel and tourism sector is emerging day by day. In order to suggest a travel route according to the user requirements (place, accomadation) is generated with the help of recommendation systems. The recommendation system is an emerging technique in many online sectors, in the case of travel and tourism has a major role for suggesting routes and other information. In travel route recommendation a system should consider user preference and travel history and possibility of route and so on. This is very huge task many algorithms are work behind this recommendation procedure to find and suggest a route or other information. Here user have very simple procedure like just providing inputs(source and destination) or provide a keyword for route search( temple, church, lake …)and then the system analyses the user query and generate requested output that satisfy user requirements. Here propose a travel route recommendation system to recommend route by considering the customer requirements. The route generation is basically done by two methods distance based route generation and MST based route generation. Here use kruskal as MST algorithm also providing a keyword searching facility. Experiments are taken by synthetically generated dataset for checking the efficiency of proposed system. efficiency of result system perform extensive experiment on synthetically generated database and plot the result of each result as a graph.
The I 2 R-NWPU Text-to-Speech System for Blizzard Challenge 2017

We present I2R-NWPU team’s entry to Blizzard Challenge 2017 in this paper. Like our previous entry, we still adopt the general deep neural network (DNN) guided unit selection and waveform concatenation method to synthesize the speech. But we make several important improvements to our previous system. Phone duration and frame level acoustic parameters are modelled with long short-term memory (LSTM) recurrent neural network (RNN). But this time we keep the hidden Markov model (HMM) to assist pre-selection. Phone level instead of frame level units are used in the selection and concatenation process. In synthesizing the speech, the Kullback-Leibler Divergence (KLD) between the predicted target and the candidate spectrum HMMs is used to preselect the units. Then the duration and acoustic parameters of the preselected units are predicted with the LSTM-RNN models. The final units are selected with the Viterbi algorithm based on the target and concatenation costs calculated against the predicted trajectory. The listening tests show improvement compared with our previous system.
Stability Prediction of Polymeric Suspensions of some Fluoroquinolones

Considering the importance of physical stability, zeta potential values, percentage volume of sedimentation and redispersibility of polymeric suspensions of some fluoroquinolones like Ciprofloxacin (Cipro) and Ofloxacin (Oflox) were measured. These formulations were prepared using two grades of Carbopol polymer such as C934 and C940; and Hydroxypropyl methylcellulose (HPMC). Above mentioned values of each suspension was determined by following standard methods. The results of those experiments suggested that Cipro with HPMC and Oflox with C940 were probably more physically stable and flocculated than other suspensions.
Predicting Visual Spatial Relations in the Maltese Language

In this paper, the automatic detection of spatial prepositions between objects depicted in an image is studied. The ultimate aim is to incorporate the findings in a system that automatically describes images in a natural language. Whereas the explicit prediction of spatial relations in images has been previously studied in English and French, the work reported in this paper addresses relations in Maltese, an understudied language. A dataset consisting of images, spatial prepositions in Maltese, and a number of geometrical and language features is assembled from previous works. A number of predictive models are developed and the results are evaluated in terms of agreement with human-selected prepositions. The relative importance of the features in predicting the various relations is discussed and the paper concludes with a discussion on future work.
Lymphoma Presenting as Multinodular Goitre

Head and neck is the second most common site for extra-nodal lymphoma. It can involve virtually any region, including the orbit, paranasal sinuses, Waldeyer's ring, salivary glands, or thyroid but the commonest is the cervical lymph nodes. Lymphomas are cancers of lymphatic system which composed of lymph nodes in the neck, armpits, groin, chest, and abdomen. Multinodular Goiter (MNG) is the most common of all the disorders of the thyroid gland. MNG is the result of the genetic heterogeneity of follicular cells and apparent acquisition of new cellular qualities that become inheritable. Nodular goiter is most often detected simply as a mass in the neck, but sometimes an enlarging gland produces pressure symptoms. Hyperthyroidism develops in a large proportion of MNGs after a few decades, frequently after iodine excess. Diagnosis is based on the physical examination.
Multiclassifier Systems for Sequential Recognition Based on the Concept of Meta-Bayes Classifier

In the sequential recognition there exist dependencies among the successive objects to be classified. In this study two original multiclassifier (MC) systems for the sequential recognition are developed. In the first MC systems base classifiers are defined for particular steps of sequential recognition independently, whereas in the second MC system base classifiers classify an object at the current step on the base of its features and features of previous objects. Both MC systems in combining procedure uses original concept of meta-Bayes classifier and produces decision according to the Bayes rule. The performance of both MC systems were evaluated experimentally and compared with six state-of-the-art sequential recognition methods using computer generated data. Results obtained in experiments imply that MC system is effective approach, which improves recognition accuracy in sequential decision scheme. Key–Words: Multiclassifier system, Sequential recognition, Probabilistic model, Meta-Bayes classifier
Impact of the 2017 American College of Cardiology/American Heart Association Hypertension Guideline on the prevalence of hypertension in young Saudi women.

Background The diagnostic criteria for hypertension have recently been redefined by the American College of Cardiology/ American Heart Association (ACC/AHA). Data on the new prevalence of hypertension in different countries are emerging, but none, to date, from Saudi Arabia. Aims This study aimed to determine the impact of the 2017 ACC/AHA hypertension guideline on the prevalence and determinants of hypertension in young Saudi women. Methods 518 female college students, 17-29 years of age were prospectively enrolled in a survey during the period from January 1, 2016, to April 15, 2016 at Princess Nourah University. The participants completed a previously validated questionnaire, that assessed their risk factors for hypertension, and their blood pressure, weight and height were measured. Results Application of the 2017 ACC/AHA diagnostic criteria resulted in approximately 7-fold increase in the prevalence of hypertension, from 4.1% to 27.1% (P < 0.001). At a cut-off value of ≥140/90, hypertension was significantly associated with increased age, increased body mass index (BMI), increased heart rate, history of chronic illnesses, prior diagnosis with diabetes mellitus and family history of hypertension. Whereas, with the ≥130/80 cut-off value, only increased BMI and heart rate were significant predictors (P < 0.001). Conclusion The prevalence of hypertension markedly increased among young adult Saudi women with the 2017 ACC/AHA classification for hypertension, and the main predictors were increased BMI and heart rate. Further studies on the new prevalence and predictors of hypertension in the Saudi population are warranted. This information is important for healthcare authorities to plan cost effective screening, prevention and control programmes.
Genetic Diversity of Cinnamomum porrectum ( Roxb . ) Kosterm . in Southern Thailand Detected by Inter Simple Sequence Repeat ( ISSR ) Analysis

Genetic diversity of Cinnamomum porrectum (Roxb.) Kosterm. (‘Thep tharo’) in southern Thailand was assessed by analyzing molecular genetic markers at the population level. Inter simple sequence repeat (ISSR) markers were used to analyze the genetic diversity of six populations in Phangnga, Phuket, Phatthalung, Satun, Krabi, and Songkhla provinces. In total, 73 amplified bands were obtained from 117 individuals of all sampled populations using seven primers. At the species level, the percentage of polymorphic loci (P), the mean expected hetero zygosity (He), and the Shannon’s information index of diversity (I) were high (87.67%, 0.2883, and 0.4343, respectively). However, P, He, and I were relatively low at the population level with averages of 47.03%, 0.1689, and 0.2508, respectively. Among the six populations investigated, the Songkhla and Phangnga populations revealed the highest genetic diversity, followed by Satun, Phatthalung, Phuket and Krabi populations, respectively. Based on Nei’s genetic differentiation (Gst) value, 35.51% of genetic differentiation existed among populations. The gene flow (Nm) was 0.9081. UPGMA cluster analysis divided the populations into two main groups.One consisted of the populations of Satun, Songkhla, Phangnga, and Phatthalung, while the other was composed of the Phuket and Krabi populations. Based on the results of the present study and field survey, it could be suggested that in situ gene conservation is very important for this species, especially in the Songkhla and Phangnga populations due to their higher genetic diversity and larger population sizes. At the same time, ex situ gene conservation should be established as an option to conserve the genetic material of the Satun, Phatthalung, Phuket, and Krabi populations that showed low genetic diversity and small population sizes.