Miracle-dz/UniFAR-FTUs huggingface dataset:
X-ray orbital modulations in intermediate polars

We present an analysis of 30 archival ASCA and RXTE X-ray observations of 16 intermediate polars to investigate the nature of their orbital modulation. We show that X-ray orbital modulation is widespread amongst these systems, but not ubiquitous as indicated by previous studies that included fewer objects. Only seven of the sixteen systems show a clearly statistically significant modulation depth whose amplitude decreases with increasing X-ray energy. Interpreting this as due to photoelectric absorption in material at the edge of an accretion disc would imply that such modulations are visible for all system inclination angles in excess of 60 degrees. However, it is also apparent that the presence of an X-ray orbital modulation can appear and disappear on a timescale of ∼years or months in an individual system. This may be evidence for the presence of a precessing, tilted accretion disc, as inferred in some low mass X-ray binaries.
Computational Intelligence Methods for Clustering of Sense Tagged Nepali Documents

This paper presents a method using hybridization of self organizing map (SOM ), particle swarm optimization(PSO) and k-means clustering algorithm for document clustering. Document representation is an important step for clustering purposes. The common way of represent a text is bag of words approach. This approach is simple but has two drawbacks viz. synonymy and polysemy which arise because of the ambiguity of the words and the lack of information about the relations between the words. To avoid the drawbacks of bag of words approach words are tagged with senses in WordNet in this paper. Sense tagging of words provide exact senses of words. Feature vectors are generated using sense tagged documents and clustering is carried out using proposed hybrid SOM+PSO+K-means algorithm. In the proposed algorithm initially SOM is applied to the feature vectors to produce the prototypes and then K-means clustering algorithm is applied to cluster the prototypes. Particle Swarm Optimization algorithm is used to find the initial centroid for K-means algorithm. Text documents in Nepali language are used to test the hybrid SOM+PSO+K-means clustering algorithm.
Ion Channels and Migraine

Migraine is one of the most common neurological disorders. Despite its prevalence, the basic physiology of the molecules and mechanisms that contribute to migraine headache is still poorly understood, making the discovery of more effective treatments extremely difficult. The consistent presence of head‐specific pain during migraine suggests an important role for activation of the peripheral nociceptors localized to the head. Accordingly, this review will cover the current understanding of the biological mechanisms leading to episodic activation and sensitization of the trigeminovascular pain pathway, focusing on recent advances regarding activation and modulation of ion channels.
On corepresentations of one parametric equipped posets

Corepresentations of some one parametric equipped posets over an arbitrary quadratic field extension F c G are studied and classified. Complete matrix canonical forms of indecomposable corepresentations of several sincere one parametric equipped posets are presented, including those for two critical equipped posets. Some important properties of corepresentations of equipped posets are established.
Sentiment Analysis : An Examination of Cybersecurity Attitudes and Behavior Research-in-Progress

This exploratory study examines the cybersecurity attitudes and actual behavior over time using the data collected on the social media microblogging platform, Twitter. We plan to use the sentiment analysis and text mining techniques on original tweets related to cybersecurity collected at two different time periods. Upon completion of this research, we would present the analysis of the relationship between the cybersecurity attitudes and behavior and how behaviors may be shaped by the attitudes. This research work aims to contribute to the extant literature in cybersecurity and endeavors to enhance our understanding of cybersecurity attitude and behavior by validating the proposed research model and hypotheses by using real-time, user-generated, social media data.
Cryptographie key generation from PUF data using efficient fuzzy extractors

Physical unclonable functions (PUFs) and biometrics are inherently noisy. When used in practice as cryptographic key generators, they need to be combined with an extraction technique to derive reliable bit strings (i.e., cryptographic key). An approach based on an error correcting code was proposed by Dodis et al. and is known as a fuzzy extractor. However, this method appears to be difficult for non-specialists to implement. In our recent study, we reported the results of some example implementations using PUF data and presented a detailed implementation diagram. In this paper, we describe a more efficient implementation method by replacing the hash function output with the syndrome from the BCH code. The experimental results show that the Hamming distance between two keys vary according to the key size and information-theoretic security has been achieved.
Influence of Amorphous Silicon Carbide Intermediate Layer in the Back-Contact Structure of Cu2 ZnSnSe4 Solar Cells

Cu2 ZnSn(S1-ySey )4 (CZTS) thin-film solar cells have been qualified as potential competitors of the more established CIGS ones. One of the more important handicaps of CZTS solar cells is the open-circuit voltage deficit. The rear-contact/absorber interface is known to be very sensitive to the formation of secondary phases, which are detrimental for the electrical behavior of photovoltaic devices. The addition of intermediate layers to favor the formation of an adequate interface has been repeatedly tested. In this work, an amorphous silicon carbide (a-SiC) layer is added to explore its influence on the material properties and electrical performance of CZTSe solar cells. According to scanning electron microscopy (SEM) analysis, when the a-SiC layer thickness is increased, bigger grains along the absorber are obtained. Additionally, a lower [VCu + ZnCu ] defect cluster density is also deduced from the analysis of Raman measurements. Both results indicate a favorable impact of a-SiC films on the material quality of the absorber. Fabricated solar cells show an enhancement of 0.9% abs. of efficiency compared to identical solar cells without a-SiC layers used as a reference. This increase is mainly related to an improvement of open-circuit voltage and fill factor (FF) when the proposed intermediate layer is included.
A COMPARATIVE STUDY OF DECISION TREE ALGORITHMS FOR CLASS IMBALANCED LEARNING IN CREDIT CARD FRAUD DETECTION

Credit card fraud detection along with its inherent property of class imbalance is one of the major challenges faced by the financial institutions. Many classifiers are used for the fraud detection of imbalanced data. Imbalanced data withhold the performance of classifiers by setting up the overall accuracy as a performance measure. This makes the decision to be biased towards the majority class that results in misclassifying the minority class. In today’s revolutionary era of technology most transactions are based on the credit cards that make it more vulnerable to fraud. Credit card data is naturally an imbalanced data and it has been found that most of the classifiers perform poorly on the credit card imbalanced data. Resampling is a technique that deals with the imbalanced data. The aim of this paper is to find the best
A Die‐Selection Method Using Search‐Space Conditions for Yield Enhancement in 3D Memory

Three‐dimensional (3D) memories using through‐silicon vias (TSVs) as vertical buses across memory layers will likely be the first commercial application of 3D integrated circuit technology. The memory dies to stack together in a 3D memory are selected by a die‐selection method. The conventional die‐selection methods do not result in a high‐enough yields of 3D memories because 3D memories are typically composed of known‐good‐dies (KGDs), which are repaired using self‐contained redundancies. In 3D memory, redundancy sharing between neighboring vertical memory dies using TSVs is an effective strategy for yield enhancement. With the redundancy sharing strategy, a known‐bad‐die (KBD) possibly becomes a KGD after bonding. In this paper, we propose a novel die‐selection method using KBDs as well as KGDs for yield enhancement in 3D memory. The proposed die‐selection method uses three search‐space conditions, which can reduce the search space for selecting memory dies to manufacture 3D memories. Simulation results show that the proposed die‐selection method can significantly improve the yield of 3D memories in various fault distributions.
Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments

After many years of rigid conventional procedures of production, industrial manufacturing is going through a process of change toward flexible and intelligent manufacturing, the so-called Industry 4.0. In this paper, human–robot collaboration has an important role in smart factories since it contributes to the achievement of higher productivity and greater efficiency. However, this evolution means breaking with the established safety procedures as the separation of workspaces between robot and human is removed. These changes are reflected in safety standards related to industrial robotics since the last decade, and have led to the development of a wide field of research focusing on the prevention of human–robot impacts and/or the minimization of related risks or their consequences. This paper presents a review of the main safety systems that have been proposed and applied in industrial robotic environments that contribute to the achievement of safe collaborative human–robot work. Additionally, a review is provided of the current regulations along with new concepts that have been introduced in them. The discussion presented in this paper includes multi-disciplinary approaches, such as techniques for estimation and the evaluation of injuries in human–robot collisions, mechanical and software devices designed to minimize the consequences of human–robot impact, impact detection systems, and strategies to prevent collisions or minimize their consequences when they occur.
The Wheat cDNA LCT 1 Generates Hypersensitivity to Sodium in a Salt-Sensitive Yeast Strain 1

Salinity affects large areas of agricultural land, and all major crop species are intolerant to high levels of sodium ions. The principal route for Na uptake into plant cells remains to be identified. Non-selective ion channels and high-affinity potassium transporters have emerged as potential pathways for Na entry. A third candidate for Na transport into plant cells is a low-affinity cation transporter represented by the wheat protein LCT1, which is known to be permeable for a wide range of cations when expressed in yeast (Saccharomyces cerevisiae). To investigate the role of LCT1 in salt tolerance we have used the yeast strain G19, which is disrupted in the genes encoding Na export pumps and as a result displays salt sensitivity comparable with wheat. After transformation with LCT1, G19 cells became hypersensitive to NaCl. We show that LCT1 expression results in a strong decrease of intracellular K/Na ratio in G19 cells due to the combined effect of enhanced Na accumulation and loss of intracellular K. Na uptake through LCT1 was inhibited by K and Ca at high concentrations and the addition of these ions rescued growth of LCT1-transformed G19 on saline medium. LCT1 was also shown to mediate the uptake of Li and Cs. Expression of two mutant LCT1 cDNAs with N-terminal truncations resulted in decreased Ca uptake and increased Na tolerance compared with expression of the full-length LCT1. Our findings strongly suggest that LCT1 represents a molecular link between Ca and Na uptake into plant cells.
No evidence for vasculogenesis regulation by angiostatin during mouse embryonic stem cell differentiation

During embryogenesis, the formation of blood vessels proceeds by both vasculogenesis and angiogenesis. Both processes appear to be finely regulated. To date, factors and genes involved in the negative regulation of embryonic vasculogenesis remain largely unknown. Angiostatin is a proteolytic fragment of plasminogen that acts as an inhibitor of angiogenesis. In this study, we analyzed the potential role of angiostatin during early stages of embryonic stem (ES) cell endothelial in vitro differentiation, as a model of vasculogenesis. We found an early expression of the known angiostatin binding sites (angiomotin, αv integrin and c‐met oncogene) during ES cell differentiation. Nevertheless, we did not detect any significant effect of angiostatin on mesoderm induction and on differentiation commitment into cells of the endothelial lineage. In both control and angiostatin‐treated conditions, the temporal and extent of formation of the Flk1 positive and Flk‐1/CD31 (PECAM‐1) positive cell populations were not significantly different. Quantitative RT‐PCR experiments of endothelial gene expression (Flk‐1, PECAM‐1 and tie‐2) confirm a lack of interference with early steps of endothelial differentiation in embryoid bodies. No evidence for an angiostatin effect on endothelial cord‐like formation could be detected at later differentiation stages. On the other hand, angiostatin inhibits vascular endothelial growth factor‐induced endothelial sprouting from embryoid bodies cultured in three dimensional type I collagen gels. Taken together, these findings support a selective inhibitory effect on the sprouting angiogenesis response for angiostatin during embryonic vascular development. J. Cell. Physiol. 213: 27–35, 2007. © 2007 Wiley‐Liss, Inc.
Physical interpretation of electric energy flow under sinusoidal and non-sinusoidal conditions

This paper introduces an analytical derivation to evaluate the flow of electric energy in power networks. This derivation is based on the paper “New Notions Suggested to power theory development - part 1: analytical derivation” published in IEEE/PES general meeting 2008. It is proven that the true energy that totally transfers to (or from) the system is the energy which belongs to the average true power only i.e. active power produced from voltage and current of the same harmonic order. All other kinds of energy are fluctuating sinusoidaly and the net transferred energy belongs to these sinusoidal power components is nil. It is a theoretical attempt to prove that the new definitions of power components suggested in paper mentioned above are connected with their associated energies and to find the physical essence of the power components under sinusoidal and non-sinusoidal conditions.
Efficacy and Biological Correlates of Response in a Phase II Study of Venetoclax Monotherapy in Patients with Acute Myelogenous Leukemia.

We present a phase II, single-arm study evaluating 800 mg daily venetoclax, a highly selective, oral small-molecule B-cell leukemia/lymphoma-2 (BCL2) inhibitor in patients with high-risk relapsed/refractory acute myelogenous leukemia (AML) or unfit for intensive chemotherapy. Responses were evaluated following revised International Working Group (IWG) criteria. The overall response rate was 19%; an additional 19% of patients demonstrated antileukemic activity not meeting IWG criteria (partial bone marrow response and incomplete hematologic recovery). Twelve (38%) patients had isocitrate dehydrogenase 1/2 mutations, of whom 4 (33%) achieved complete response or complete response with incomplete blood count recovery. Six (19%) patients had BCL2-sensitive protein index at screening, which correlated with time on study. BH3 profiling was consistent with on-target BCL2 inhibition and identified potential resistance mechanisms. Common adverse events included nausea, diarrhea and vomiting (all grades), and febrile neutropenia and hypokalemia (grade 3/4). Venetoclax demonstrated activity and acceptable tolerability in patients with AML and adverse features. SIGNIFICANCE Venetoclax monotherapy demonstrated clinical activity in patients with AML (relapsed/refractory or unfit for intensive chemotherapy) with a tolerable safety profile in this phase II study. Predictive markers of response consistent with BCL2 dependence were identified. Clinical and preclinical findings provide a compelling rationale to evaluate venetoclax combined with other agents in AML. Cancer Discov; 6(10); 1106-17. ©2016 AACRSee related commentary by Pullarkat and Newman, p. 1082This article is highlighted in the In This Issue feature, p. 1069.
Video search: opportunities & challenges

What are the evolving trends in video search? What has changed technologically after many decades of solid research and development in computer vision, image processing, information retrieval and pattern recognition to enable products that search millions of video from the Web? We attempt to highlight some of the changes that are altering the fundamental approach to video information retrieval.
How to reduce the UX bottleneck – train your software developers

ABSTRACT Usability and user experience (UX) methods come from academic environments, where industrial conditions such as time and resources are not of prime importance. Furthermore, usability and UX methods originate from a time when almost all software developments followed a traditional approach, such as the waterfall model. These two facts entail that existing methods often are too resource demanding and complex to apply directly into today’s agile, industrial environments. In this paper we make the claim that methods must be updated and tailored in order to be applicable within the agile, industrial development framework of today. We pursue a solution to simplify well-known methods and to train software developers to perform the UX work. To do this, three methods are modified via an iterative process together with the development of supporting materials. Software developers in three companies are trained in the methods to assess the approach. We find that it indeed is feasible to update and tailor existing usability and UX methods to fit into an agile, industrial environment. Furthermore, we show that it is possible to train developers to perform the usability and UX methods via one-day, in-situ sessions using an ‘instructor’-teaching approach. The training is based on hands-on exercises and real-life tasks. This further boosts the developers’ confidence in performing UX work and promises a better consideration of UX in the development phases. We evaluate our approach through observations of the developers performing the UX tasks on their own at a later point in time.
The effect of spatial diversity in MIMO system with multiuser diversity scheduler

In multiuser MIMO system with multiuser diversity (MUDiv) scheduler, spatial diversity plays a role to affect the scheduling gain. In order to investigate this phenomenon, we derive a new asymptotic capacity and an outage capacity of multiuser MIMO system with MUDiv scheduler using the extreme value theory. From our analysis, we define MUDiv gain by scheduling, and investigate the relationship between the spatial diversity and MUDiv. As a result, we find that the average capacity in multiuser MIMO system with MUDiv scheduler doesnpsilat increase linearly with the minimum number of antennas at high signal to noise ratio (SNR).
Induction of proepicardial marker gene expression by the liver bud

Cells of the coronary vessels arise from a unique extracardiac mesothelial cell population, the proepicardium, which develops posterior to the sinoatrial region of the looping-stage heart. Although contribution of the proepicardial cells to cardiac development has been studied extensively, it remains unresolved how the proepicardium is induced and specified in the mesoderm during embryogenesis. It is known, however, that the proepicardium develops from the mesothelium that overlays the liver bud. Here, we show that the expression of proepicardial marker genes - Wt1, capsulin (epicardin, pod1, Tcf21) and Tbx18, can be induced in naïve mesothelial cells by the liver bud, both in vitro and in vivo. Lateral embryonic explants, when co-cultured with the liver bud, were induced to express these proepicardial marker genes. The same induction of the marker genes was detected in vivo when a quail liver bud was implanted in the posterior-lateral regions of a chick embryo. This ectopic induction of marker gene expression was not evident when other endodermal tissues, such as the lung bud or stomach, were implanted. This inductive response to the liver bud was not detectable in host embryos before stage 12 (16-somite stage). These results suggest that, after a specific developmental stage, a large area of the mesothelium becomes competent to express proepicardial marker genes in response to localized liver-derived signal(s). The developmentally regulated competency of mesothelium and a localized inductive signal might play a role in restricting the induction of the proepicardial marker gene expression to a specific region of the mesothelium. The data might also provide a foundation for future engineering of a coronary vascular progenitor population.
Web sémantique et Mémoire d expériences sur l analyse du transcriptome. (Semantic web and experiments memory for the transcriptome analysis)

Cette these rentre dans le cadre du projet MEAT (Memoire d´Experiences pour l´Analyse du Transcriptome) dont le but est d´assister les biologistes travaillant dans le domaine des puces a ADN, pour l´interpretation et la validation de leurs resultats. Nous proposons une aide methodologique et logicielle pour construire une memoire d´experiences pour ce domaine. Notre approche, basee sur les technologies du web semantique, repose sur l´utilisation des ontologies et des annotations semantiques sur des articles scientifiques et d´autres sources de connaissances du domaine. Dans une premiere partie, nous proposons une ontologie modulaire pour la description des connaissances du domaine des puces a ADN (base de donnees d´experiences, articles scientifiques, entites biomedicales.). Cette ontologie integre entre autres, le reseau semantique deja existant d´UMLS, ce qui nous a permis d´approfondir le probleme de reutilisation de ressources termino-ontologiques et leur adaptation a une nouvelle application. Ensuite, nous proposons une methodologie generique pour la generation d´annotations semantiques basees sur cette ontologie en exploitant les connaissances contenues dans les textes. Cette methodologie a l´originalite d´utiliser des techniques de traitement automatique de la langue et des grammaires d´extraction de relations pour extraire automatiquement des articles scientifiques les relations reliant des termes d´UMLS reconnus dans le texte. Un systeme supportant cette methodologie a ete implemente et valide par nos collegues biologistes. Enfin, pour faciliter la diffusion des connaissances contenues dans la memoire, nous proposons un prototype qui se base sur un moteur de recherche semantique (Corese) et qui exploite la base d´annotations que nous avons constituee. Cette partie du travail a permis d´ameliorer la tâche de recherche d´informations en la rendant plus efficace et en offrant des mecanismes de raisonnement sur les connaissances du domaine.