Miracle-dz/UniFAR-FTUs huggingface dataset:
Negotiating Trust on the Web

Our system, TrustBuilder, supports automated trust negotiation between strangers on the Internet. TrustBuilder lets negotiating parties disclose relevant digital credentials and access control policies and establish the trust necessary to complete their interaction. TrustBuilder is intended for use in any situation where two entities from different security domains need to establish trust - business-to-business and retail interactions, cooperative work and joint ventures, medical records, mobile computing, and so on.
Study of temporal data mining technique on Dhaka Stock Exchange

One of the major tasks in stock market analysis is the discovery of specific events that give rise to a particular event. In this research, we emphasise on temporal data mining conducted on a stock-oriented dataset with a time dimensional approach. We are mainly interested in bringing forward an algorithm for pattern discovery in sequential data streams and also bring out the interdependencies among the events. This led us to the discovery of sequential continuous patterns. The patterns serve as rules that enable us to determine the occurrence of an event on a particular stock-transaction day. In our paper, we have proposed and implemented the STRDTM (stock trading rule discovery by temporal mining) algorithm with real life data from Dhaka Stock Exchange (DSE) as input. We generate high confidence rules from training dataset of six months and finally evaluate the performance of the discovered rule on testing dataset. On an average, we could achieve around 80% accuracy if we trade on the discovered rules.
Multiplication by an Integer Constant Vincent Lefèvre N ° 4192 Mai 2001

We present and compare various algorithms, including a new one, allowing to perform multiplications by integer constants using elementary operations. Such algorithms are useful, as they occur in several problems, such as the Toom-Cook-like algorithms to multiply large multiple-precision integers, the approximate computation of consecutive values of a polynomial, and the generation of integer multiplications by compilers. Key-words: integer multiplication, addition chains Multiplication par une constante entière Résumé : Nous présentons et comparons divers algorithmes, dont un nouveau, permettant d’effectuer des multiplications par des constantes entières à l’aide d’opérations élémentaires. De tels algorithmes sont utiles, car ils interviennent dans plusieurs problèmes, comme les algorithmes du style Toom-Cook pour multiplier des entiers à grande précision, le calcul approché de valeurs consécutives d’un polynôme et la génération de multiplications entières par les compilateurs. Mots-clés : multiplication entière, châınes d’additions Multiplication by an Integer Constant 3
engineering trusted P2P system with fast reputation aggregating mechanism

A scalable trusted P2P system requires fast convergence of trust data when assessing the risk of a peer in performing a task. In this paper, a new reputation aggregation mechanism is introduced, which adopts a novel feedback trust aggregating mechanism based on Direct Trust Tree (DTT). First, for every peer in the P2P system, a DTT is constructed and maintained based on peer’s last direct interaction experience. Then, feedback trust information is searched by using DTT instead of broadcast manner in others reputation system. Third, two new parameters, quality factor and distance factor, are introduced to adjust the scale of aggregation computing automatically. Simulation’s results show that the model remarkably enhances the convergence of trust aggregation computing.
Matching by Tone Mapping: Photometric Invariant Template Matching

A fast pattern matching scheme termed matching by tone mapping (MTM) is introduced which allows matching under nonlinear tone mappings. We show that, when tone mapping is approximated by a piecewise constant/linear function, a fast computational scheme is possible requiring computational time similar to the fast implementation of normalized cross correlation (NCC). In fact, the MTM measure can be viewed as a generalization of the NCC for nonlinear mappings and actually reduces to NCC when mappings are restricted to be linear. We empirically show that the MTM is highly discriminative and robust to noise with comparable performance capability to that of the well performing mutual information, but on par with NCC in terms of computation time.
10.1: Invited Paper: Roll‐to‐Roll Manufacturing of Functional Substrates and Encapsulation Films for Organic Electronics: Technologies and Challenges

This paper reviews a roll-to-roll technology for manufacturing of functional films as substrates and encapsulation for flexible OLED display and lighting devices. These functional films comprise ultra-high permeation barrier performance and two different types of a transparent electrode. Flexible small molecule OLED devices have been manufactured in roll-to-roll and characterized discussing current challenges for flexible electronic device encapsulation.
Fatigue Behavior of GH4169 Alloy up to Very High Cycles

The present paper deals with experimental studies on the long life fatigue behavior of GH4169 alloy. Using the ultrasonic fatigue testing technique, specimens of hourglass shape were fatigue tested in air at room temperature under fully reversed cyclic loading conditions (R=-1). The very high cycle fatigue property of GH4169 alloy was studied and the initiation mechanisms of fatigue cracks were investigated and analyzed with scanning electron microscopy (SEM) and energy dispersive atomic X-ray (EDX). Preliminary results indicate that the S-N curve displays a bilinear decreasing tendency within 109 cycles and fatigue failure initiates from inclusions/defects on the specimen surface.
Open-DLAs: An Open Dashboard for Learning Analytics

In this paper a learning analytics dashboard for MOOCs is proposed. It visualises the progress of learners' activity taking into account navigation, social interactions and interaction with educational resources. This approach was tested with the MOOCs created by the University Autonóma of Madrid (Spain) in the edX platform. Nowadays, the dashboard is being improved taking into account the received feedback from MOOCs instructors and assistants. Finally, a new version is presented to work along with edX and Open edX.
TCP enhancements for interactive thin-stream applications

TCP is frequently used for interactive multimedia applications like online games and voice-over-IP (VoIP) because it avoids firewall issues. However, traffic analysis shows that these streams usually have small packets and a low packet rate, and that in case of loss, severe latency penalties occur for all existing TCP variations in Linux [5]. In this demonstration, we show how small TCP enhancements greatly improve the perceived quality of such low latency, interactive applications.
Two Measures for Enhancing Data Association Performance in SLAM

Data association is one of the key problems in the SLAM community. Several data association failures may cause the SLAM results to be divergent. Data association performance in SLAM is affected by both data association methods and sensor information. Two measures of handling sensor information are introduced herein to enhance data association performance in SLAM. For the first measure, truncating strategy of limited features, instead of all matched features, is used for observation update. These features are selected according to an information variable. This truncating strategy is used to lower the effect of false matched features. For the other measure, a special rejecting mechanism is designed to reject suspected observations. When the predicted robot pose is obviously different from the updated robot pose, all observed sensor information at this moment is discarded. The rejecting mechanism aims at eliminating accidental sensor information. Experimental results indicate that the introduced measures perform well in improving the stability of data association in SLAM. These measures are of extraordinary value for real SLAM applications.
Availability Aware Continuous Replica Placement Problem

Replica placement (RP) intended at producing a set of duplicated data items across the nodes of a distributed system in order to optimize fault tolerance, availability, system performance load balancing. Typically, RP formulations employ dynamic methods to change the replica placement in the system potentially upon user request profile. Continuous Replica Placement Problem (CRPP) is an extension of replica placement problem that takes into consideration the current replication state of the distributed system along with user request profile to define a new replication scheme, subject to optimization criteria and constraints. This paper proposes an alternative technique, named Availability Aware Continuous Replica Placement Problem (AACRPP). AACRPP can be defined as: Given an already defined replica placement scheme, a user request profile, and a node failure profile define a new replication scheme, subject to optimization criteria and constraints. In this effort we use modified greedy heuristics from the CRPP and investigated the proposed mechanism using a trace driven java based simulation.
A Multilayer Collaborative Filtering Recommendation Method in Electricity Market

Transaction price accurate recommendation is a hot issue for buyer and seller on bidding information services in Chinese electricity market, a novel multilayer collaborative filtering algorithm is proposed to solve the bidding prices accurate mining problem. A three-tier relationship model of user-item-attribute is described to accommodate the real electricity transaction on bidding price service mining and recommendation. The fuzzy evaluation method is presented to improve candidate items sets of similar neighbors, integrating user fuzzy preference by attributes into membership degree evaluation. And then, the similarity function is improved to determine better proportions in items Pearson coefficients. A case study is done to give an application example for electricity market. And the experiment is also implemented to prove that the model and the algorithm are efficient and robust for application value by performance of experiment results.
Lipids in the heart: a source of fuel and a source of toxins

Purpose of review How do lipids arrive in the heart and other tissues? This review focuses on new information on pathways of lipid uptake into the heart. Recent findings Fatty acids, the major cardiac fuel, are obtained from either lipoproteins or free fatty acids associated with albumin. The heart is the tissue with the most robust expression of lipoprotein lipase, and recent data attest to the importance of this enzyme in supplying optimal amounts of fatty acids for the heart. Genetic deletion of CD36 also shows that this transporter is important for cardiac uptake of lipids. Retinoid acquisition by the heart involves pathways parallel to those used for fatty acid uptake: a pathway for acquisition of core lipoprotein retinyl ester and another for nonlipoprotein retinol. Dilated lipotoxic cardiomyopathy is the consequence of excess lipid uptake. Summary Genetic modifications that affect lipid uptake, oxidation, and storage are being exploited to elucidate the pathophysiology of cardiomyopathies and to discover how lipids relate to heart failure in humans with obesity and diabetes mellitus. This information is likely to lead to new diagnostic categories of cardiomyopathy and more pathophysiologically appropriate treatments.
Mutations in the kissing-loop hairpin of human immunodeficiency virus type 1 reduce viral infectivity as well as genomic RNA packaging and dimerization

A stem-loop termed the kissing-loop hairpin is one of the most highly conserved structures within the leader of human immunodeficiency virus type 1 (HIV-1) and chimpanzee immunodeficiency virus genomic RNA. Because it plays a key role in the in vitro dimerization of short HIV-1 RNA transcripts (M. Laughrea and L. Jette, Biochemistry 35:1589-1598, 1996, and references therein; M. Laughrea and L. Jette, Biochemistry 35:9366-9374, 1996, and references therein) and because dimeric RNAs may be preferably encapsidated into the HIV-1 virus, alterations of the kissing-loop hairpin might affect the in vivo dimerization and encapsidation processes. Accordingly, substitution and deletion mutations were introduced into the kissing-loop hairpin of an infectious HIV-1 molecular clone in order to produce viruses by transfection methods. The infectivity of the resulting viruses was decreased by at least 99%, the amount of genomic RNA packaged per virus was decreased by 50 to 75%, and the proportion of dimeric genomic RNA was reduced from >80 to 40 to 50%, but the dissociation temperature of the genomic RNA was unchanged. There is evidence suggesting that the deletion mutations moderately inhibited CAp24 production but had no significant effect on RNA splicing. These results are consistent with the kissing-loop model of HIV-1 RNA dimerization. In fact, because intracellular viral RNAs are probably more concentrated in transfected cells than in cells infected by one virus and because the dimerization and encapsidation processes are concentration dependent, it is likely that much larger dimerization and encapsidation defects would have been manifested within cells infected by no more than one virus.
Novel Functions of ErbB 4 and NRG-1 in Development and Cancer by Ilkka Paatero

Cells communicate, or signal, with each other constantly to ensure proper functioning of tissues and organs. Cell signaling is often performed by interplay of receptors and ligands that bind these receptors. ErbB receptors (epidermal growth factor receptors, EGFR, HER) bind extracellular growth factors and transduce these signals inside of cells. ErbB dysfunction promotes carcinogenesis, and also results in numerous defects during normal development. This study focused on the functions of one member of the ErbB receptor family, ErbB4, and growth factor, neuregulin-1 (NRG-1), that can bind and activate ErbB4. This study aimed to find novel functions of ErbB4 and NRG-1. Hypoxia, or deficiency of oxygen, is common in cancer and ischemic conditions. One of the key findings of the work was the identification and characterization of a cross-talk between ErbB4 and Hypoxiainducible factor 1α (HIF-1α), the central mediator of hypoxia signaling. ErbB4 activation by NRG-1 was found to increase HIF-1α activity. Interestingly, this regulation occurred in reciprocal manner as HIF-1α was also able to increase protein levels of NRG-1 and ErbB4. Moreover, expression of NRG-1 and ErbB4 was associated with HIF activity in vivo in human clinical samples and in mice. Reduction of functional ErbB4 in developing zebrafish embryos resulted in defects in development of the skeletal muscles. To study ErbB4 functions in pathological situation in humans, clinical samples of serous ovarian carcinoma were analyzed using tissue microarrays and real-time RT-PCR. A specific isoform of ErbB4, CYT1, was associated with poor survival in serous ovarian cancer and increased anchorage independent growth of ovarian cancer cells in vitro. These observations demonstrate that ErbB4 and NRG-1 are essential regulators of cellular response to hypoxia, of development, and of ovarian carcinogenesis.
Classification Supervisée de Questions : Rôle de l'Expansion Sémantique

Responding correctly to a question given a large collection of textual data is not an easy task. There is a need to perceive and recognize the question at a level that permits to detect some constraints that the question imposes on possible answers. The question classification task is used in Question Answering systems. This deduces the type of the expected answer, to perform a semantic classification to the target answer. The purpose is to provide additional information to reduce the gap between answer and question. An approach to improve the effectiveness of classifiers focusing on linguistic analysis and statistical approaches. This work also proposes two methods of questions expansion. Various questions representation, term weighting and diverse machine learning algorithms are studied. Experiments conducted on actual data are presented. Of interest is the improvement in the precision on the classification of questions. MOTS-CLES : Classification, Selections des descripteurs, Expansion semantique, Apprentissage, Fouille de texte.
TALL‐1 is a novel member of the TNF family that is down‐regulated by mitogens

Members of the tumor necrosis factor (TNF) family play important roles in modulation of immune responses. We describe the identification and cloning of a novel TNF family member that has been designated as TALL‐1. TALL‐1 is a 285‐amino acid type II transmembrane protein. Its carboxy terminus shares ∼35% sequence identity with the recently identified APRIL and ∼20–25% with TNF, FasL, TRAIL, and lymphotoxin‐α, suggesting that TALL‐1 and APRIL belong to a subfamily of the TNF family of ligands. Northern blot analysis suggests that TALL‐1 is expressed abundantly in peripheral blood leukocytes and weakly in spleen but is barely detectable in all other tissues examined. Reverse transcriptase‐polymerase chain reaction analysis indicates that TALL‐1 is specifically expressed in monocytes and macrophages but is undetectable in T and B lymphocytes. Furthermore, TALL‐1 expression is dramatically down‐regulated by phorbol myristate acetate/ionomycin. J. Leukoc. Biol. 65: 680–683; 1999.
BLOB computing

Current processor and multiprocessor architectures are almost all based on the Von Neumann paradigm. Based on this paradigm, one can build a general-purpose computer using very few transistors, e.g., 2250 transistors in the first Intel 4004 microprocessor. In other terms, the notion that on-chip space is a scarce resource is at the root of this paradigm which trades on-chip space for program execution time. Today, technology considerably relaxed this space constraint. Still, few research works question this paradigm as the most adequate basis for high-performance computers, even though the paradigm was not initially designed to scale with technology and space.In this article, we propose a different computing model, defining both an architecture and a language, that is intrinsically designed to exploit space; we then investigate the implementation issues of a computer based on this model, and we provide simulation results for small programs and a simplified architecture as a first proof of concept. Through this model, we also want to outline that revisiting some of the principles of today's computing paradigm has the potential of overcoming major limitations of current architectures.
"Role of CT Coronary Angiography in Recanalization of Chronic Total Occlusion"

Chronic total occlusion (CTO) is considered as the most challenging frontier in interventional cardiology and the last one to be conquered. With availability of state of the art hardware, wires and catheters in particular and increased skills of the operators, the success rate for recanalization of CTO by percutaneous catheter intervention (PCI) has improved. Yet the complications rate and longterm adverse events are high, mostly due to failure in tracking or navigation of hardware through the occluded CTO segment, prolonged exposure to radiation and high doses of contrast used. Therefore, proper selection of patient is of utmost importance. One of the major challenges for successful CTO recanalization is satisfactory visualization of the occluded CTO segment. Conventional invasive catheterization fails to fill the gap and the shortcomings and handicaps of such invasive imaging can be resolved with the use of non-invasive CT coronary angiography (CTCA). CTCA helps to better define the morphological features of the occluded CTO segment, which are established predictors of success, like the actual length of the occluded segment and any calcification or tortuosity in its course. Integration of reconstructed three-dimensional CT coronary images with twodimensional fluoroscopic images, offers directional guide to select the best angiographic plane for visualization of angiographically “missing segment”. With advances in CT technology, CTCA has now become an established technology for pre-procedure evaluation of CTO segment, thereby help in planning and execution of successful PCI.
Benefits and Threats to Using Social Media for Presenting and Implementing Evidence

As a potential high-yield tool for disseminating information that can reach many people, social media is transforming how clinicians, the public, and policy makers are educated and find new knowledge associated with research-related information. Social media is available to all who access the internet, reducing selected barriers to acquiring original source documents such as journal articles or books and potentially improving implementation-the process of formulating a conclusion and moving on that decision. The use of social media for evidence dissemination/implementation of research has both benefits and threats. It is the aim of this Viewpoint to provide a balanced view of each. J Orthop Sports Phys Ther 2018;48(1):3-7. doi:10.2519/jospt.2018. 0601.
Handbook of Evaluation Methods for Health Informatics

catch phrase from the 1996 film Jerry Maguire. All of us want to see evidence as to whether something is worth investing in or not. I remember one public health informatician who was my boss at the time of my post-doc fellowship telling the fellows: “If you figure out how to evaluate health information technology (HIT) well enough, you’ll never have to worry about your career in the future. ” At the time I had to wonder if that could be true. Even now, I certainly do not know. My boss probably said so because we are living in an outcomeoriented world and we expect that the evaluation of HIT will be able to demonstrate how well HIT works in order to justify the investment of money, time, and resources. Hence, knowledge and skill in the field of HIT evaluation is one competency that a health informatician must have. Evaluation has been considered a difficult task owing to the complexity of the environment in which information systems are implemented and the busy schedule related to working with patients, especially in a hospital setting [1]. On top of that, we often need to know the baseline data, in order to compare it with the results after the deployment of a new HIT system for evaluation. This requires thoughtful planning ahead; if not, it is often too late to perform evaluation once the IT system is implemented. HIT evaluation is defined as “the act of measuring or assessing the properties of a health information system (in terms of planning, development, implementation, or operation), the result of which informs a decision to be made concerning that system in a specific context” [2]. As the title, Handbook of Evaluation Methods for Health Informatics, suggests, this is not a textbook but a reference book [3]. Handbooks are usually designed to be easily consulted and to provide quick answers in a certain field [4]. The author claimed the purpose of this book was to illusHandbook of Evaluation Methods for Health Informatics
In vitro repair of double-strand breaks accompanied by recombination in bacteriophage T7 DNA

A double-strand break in a bacteriophage T7 genome significantly reduced the ability of that DNA to produce viable phage when the DNA was incubated in an in vitro DNA replication and packaging system. When a homologous piece of T7 DNA (either a restriction fragment or T7 DNA cloned into a plasmid) that was by itself unable to form a complete phage was included in the reaction, the break was repaired to the extent that many more viable phage were produced. Moreover, repair could be completed even when a gap of about 900 nucleotides was put in the genome by two nearby restriction cuts. The repair was accompanied by acquisition of a genetic marker that was present only on the restriction fragment or on the T7 DNA cloned into a plasmid. These data are interpreted in light of the double-strand gap repair mode of recombination.