Miracle-dz/UniFAR-FTUs huggingface dataset:
Taking Benefit of Query and Document Expansion using MeSH Descriptors in Medical ImageCLEF 2009

In 2008, we participated in medical ImageCLEF in order to compare different strategies of query and document expansion. Since we are a group specialized in Natural Language Processing, we discarded the visual aspect and we only dealt with the textual fields of the documents. We chose descriptors belonging to the Medical Subject Headings (MeSH) in order to expand the queries and the documents; therefore, these metadata were supposed to improve the retrieval process, and to be an interlingua between the collection and the topics for the multilingual tasks. MeSH descriptors for query and document expansion could be automatically computed via two strategies. Each document of this collection is provided with several fields describing the image such as title or caption; so we applied a local lexical MeSH categorizer to these fields in order to automatically extract a set of MeSH descriptors. Moreover, as each document is linked to a journal article via a PMID, we harvested the MeSH descriptors assigned to this article in MEDLINE in order to obtain a second set of MeSH descriptors. For the 2008 official runs, we chose to compare both strategies, but we subsequently showed in an unofficial run that combining them, by merging both sets of MeSH descriptors, led to the best performances. Therefore, combining both strategies increased the Mean Average Precision (MAP) of our best English official run from 0.176 in 2008 to 0.321 in 2009. Results for German and French runs were respectively MAP 0.231 and MAP 0.295.
Homologous non-isotopic symplectic tori in homotopy rational elliptic surfaces

Let $E(1)_K$ denote the homotopy rational elliptic surface corresponding to a knot $K$ in $S^3$ constructed by R. Fintushel and R. J. Stern. We construct an infinite family of homologous non-isotopic symplectic tori representing a primitive 2-dimensional homology class in $E(1)_K$ when $K$ is any nontrivial fibred knot in $S^3$. We also show how these tori can be non-isotopically embedded as homologous symplectic submanifolds in other symplectic 4-manifolds.
Magnetic Cooperative Phenomenon with Unpaired sp-Electrons System by MBE Low-Temperature Growth

We present a new possibility of crystal growth as synthesis of materials containing high concentrations of unpaired sp electrons by growth of Be doped Gallium Arsenides at low temperatures of 200-3000C using Molecular Beam Epitaxy (MBE) and investigate a possibility of applications of magnetotransport properties based on these unpaired sp-electrons to spintronics devices.The present study using high concentration of unpaired sp-electrons by the growth of Beryllium-doped GaAs layers at low temperatures resulted in a cooperative transition of localized spins at low temperature and also affected the mechasnism of tranport properties of the sample from hopping conduction to valence band conduction.This attempts will give rise to a possibility of adding new functions to existing electronic devices.
An Object-Oriented Library For Shared-Memory Parallel Simulations

Abstract Programming shared-memory multiprocessor systems is becoming increasinglydifficult as the gap between memory speed and processor speed increases. At the sametime, this class of computer—based on standard microprocessors—is becomingincreasingly common as an alternative to traditional mainframes and supercomputers.Programs that are not sympathetic to caches can perform poorly on such systems.Problems include false sharing (unrelated data in a cache block, resulting in coherencemisses), inadequate blocking (processing data as often as possible before it moves outof the cache) and poor exploitation of prefetch (fetching data before it is needed). This research addresses the problem of accommodating changes in memoryhierarchy cost and cache characteristics through an object-oriented C++ library calledOOSH (Object-Oriented Library for Shared Memory). OOSH includes low-levelallocators which pad and align objects to cache block boundaries, and primitives forlaunching processes, locking and synchronization. OOSH also provides support forobject blocking—an object-oriented version of blocking, a technique traditionally usedin matrix operations. Blocking divides an algorithm’s data into blocks or tiles, whichare processed as far as possible before moving on to other data, with the objective ofreducing cache misses.Performance of OOSH is evaluated by running selected applications from theStanford SPLASH benchmarks on the Mint MIPS architecture simulator. Simulationsare run both with parameters similar to current multiprocessor architectures, and withhigher memory hierarchy costs, to investigate the impact of technology trends. OOSHversions of the applications are compared with the SPLASH implementations, based onArgonne National Laboratories Parmacs macros.The applications are MP3D (particle-based wind tunnel simulation), Barnes-Hut (n-body gravitation simulation) and Water (water molecule simulation). MP3D only needslocal synchronization, and uses distributed synchronization: barriers are replaced by
Approach of Geometric Texture Mapping Based on Discrete Gradient Searching

Texture mapping has two categories: color texture mapping and geometric texture mapping. This paper mainly studies geometric texture mapping for random fractal surface. Height map of random fractal surface is generated by RMD algorithm. Gradient of each point on height map is calculated by discrete central difference algorithm. So, gray map of fractal surface is obtained by reflection map equation with gradient map. Then, for establishing the relationship between original image and height map of fractal surface, the algorithm named “discrete gradient searching” is proposed in this paper. And texture mapping on hemisphere by formula and discrete gradient searching are taken separately to prove it available. Finally, it is used on mapping of fractal surface. The experimental results show that the proposed algorithm to generate random rough texture surface can get more satisfactory and perfect results.
Synthesis, Molecular Structure Optimization, and Cytotoxicity Assay of a Novel 2-Acetyl-3-amino-5-[(2-oxopropyl)sulfanyl]-4-cyanothiophene

A novel thiophene-containing compound, 2-acetyl-3-amino-5-[(2-oxopropyl)sulfanyl]-4-cyanothiophene (4) was synthesized by reaction of malononitrile with CS2 in the presence of K2CO3 under reflux in DMF and the subsequent reaction with chloroacetone followed by cyclization. This compound has been characterized by means of FT-IR, 1H-NMR, 13C-NMR, and mass spectrometry as well as elemental analysis. In addition, the molecular structures of compound 4 was determined by X-ray crystallography. The geometry of the molecule is stabilized by an intramolecular interaction between N1–H1···O1 to form S6 graf set ring motif. In the crystal, molecules are linked via N1–H2···O1 and C7–H7A···N2 interactions to form a three-dimensional network. Molecular structure and other spectroscopic properties of compound 4 were calculated using DFT B3LYP/6-31G (d,p) method. Results revealed a good agreement between the optimized geometric parameters and the observed X-ray structure. Furthermore, and by employing the natural bond orbital (NBO) method, the intramolecular charge transfer (ICT) interactions along with natural atomic charges at different sites, were calculated; results indicated strong n→π* ICT from LP(1)N5→BD*(2)C15-C16 (63.23 kcal/mol). In addition, the stabilization energy E(2) of the LP(2)O3→ BD*(1)N5-H6 ICT (6.63 kcal/mol) indicated the presence of intramolecular N-H···OH bonding. Similarly, calculations of the electronic spectra of compound 4 using, TD-DFT revealed a good agreement with the experimental data. Finally, compound 4 was evaluated for its in vitro cytotoxic effect against PC-3 and HeLa cell lines, as an anticancer agent, and found to be nontoxic.
Inter- and intra-specimen variability masks reliable temperature control on shell Mg/Ca ratios in laboratory- and field-cultured Mytilus edulis and Pecten maximus (bivalvia)

Abstract. The Mg/Ca ratios of biogenic calcite is commonly seen as a valuable palaeo-proxy for reconstructing past ocean temperatures. The temperature dependence of Mg/Ca ratios in bivalve calcite has been the subject of contradictory observations. The palaeoceanographic use of a geochemical proxy is dependent on initial, rigorous calibration and validation of relationships between the proxy and the ambient environmental variable to be reconstructed. Shell Mg/Ca ratio data are reported for the calcite of two bivalve species, Mytilus edulis (common mussel) and Pecten maximus (king scallop), which were grown in laboratory culturing experiments at controlled and constant aquarium seawater temperatures over a range from ~10 to ~20°C. Furthermore, Mg/Ca ratio data of laboratory- and field-grown M. edulis specimens were compared. Only a weak, albeit significant, shell Mg/Ca ratio–temperature relationship was observed in the two bivalve species: M. edulis (r2=0.37, p
R-SALSA: A spam filtering technique for social networking sites

Now a days, Social media is instrumental for expeditious communication among users across the globe. The escalation in the growth of Social media tools such as LinkedIn, Google+, MySpace, Pinterest, Facebook, Instagram, Twitter, Yammer, Weibo, Hyves, etc., led to rise in the volume of unsolicited messages and spamming activities in past few years. Enormous volume of spamming activities has caused severe problem in essential communication. Spam messages may be generated by automated spam bots or users. In vision of these circumstances, there has been much research effort toward doing spam filtering based on supervised approaches. Motivated by the fact, steady nature of supervised approach requires model retraining to identify new variety of spam messages. An unsupervised approach namely Reliability based Stochastic Approach for Link-Structure Analysis (R-SALSA) algorithm has been proposed in this paper for classifying a message being Spam or benign. The dataset collected from popular Netherland's social media named Hyves is used to test proposed algorithm. It has been evaluated with different performance based metrics namely true positive rate, false positive rate, accuracy, and it is found to be performing better than previously proposed unsupervised author-reporter model. The proposed algorithm achieved 9.17% accuracy in spam identification when compared with Hyper Link Induced Topic Search (HITS) and 2.49% accuracy in spam identification when compared with SALSA based method.
PPE and PE_PGRS proteins of Mycobacterium marinum are transported via the type VII secretion system ESX‐5

ESX‐5 is one of the five type VII secretion systems found in mycobacteria. These secretion systems are also known as ESAT‐6‐like secretion systems. Here, we have determined the secretome of ESX‐5 by a proteomic approach in two different strains of Mycobacterium marinum. Comparison of the secretion profile of wild‐type strains and their ESX‐5 mutants showed that a number of PE_PGRS and PPE‐MPTR proteins are dependent on ESX‐5 for transport. The PE and PPE protein families are unique to mycobacteria, are highly expanded in several pathogenic species, such as Mycobacterium tuberculosis and M. marinum, and certain family members are cell surface antigens associated with virulence. Using a monoclonal antibody directed against the PGRS domain we showed that nearly all PE_PGRS proteins that are recognized by this antibody are missing in the supernatant of ESX‐5 mutants. In addition to PE_PGRS and PPE proteins, the ESX‐5 secretion system is responsible for the secretion of a ESAT‐6‐like proteins. Together, these data show that ESX‐5 is probably a major secretion pathway for mycobacteria and that this system is responsible for the secretion of recently evolved PE_PGRS and PPE proteins.
Object Oriented Data Modeling for Data Warehousing (An Extension of UML approach to study Hajj pilgrim's private tour as a Case Study)

We are all familiar with the growth rate of the public Web. Regardless of the metric used to measure its growth attached networks, servers, users or pages the growth rate continues to exhibit an exponential pattern. In the same vein, the adoption rate of intranet and extranet data warehouses (i.e., Web warehouses) has exhibited a similar pattern, although the pattern has lagged public adoption. While data warehouse and business intelligence vendors have offered Web-enabled versions. All over world there are hundreds of private tour operators (PTOs) managing tour for hajj pilgrims. According to the visiting Indian Ministry 138,000 Indian pilgrims performed hajj during 2007.Out of above mentioned figure 110,000 through the Hajj committee and 38,000 through PTOs. In India there are about 397 registered PTOs up to 2007. We introduce the UML Profile for Modeling DWH Usage for modeling the different kinds of DWH usage on a conceptual level. It uses features of UML intended for the purpose of creating abstract, general models. The profile distinguishes four perspectives of usage, and allows to model details of the users. The UML Profile is applied to example illustrating Hajj pilgrims private tour. KeywordsBusiness intelligence, data modeling, private tour operator, unified modeling language, web enabled warehouse Received December2, 2008; Accepted March 17 2009
A low power 20 GHz 1.5 Gb/s CMOS injection-pulling FSK modulator and frequency discriminator for 60GHz links

This paper presents a low power frequency shift keying (FSK) modulator and demodulator (MODEM) that can support over than 1 Gb/s data rate for high-speed multimedia data communications. Compared with open-loop direct modulation of a voltage-controlled oscillator (VCO), the direct injection-pulling of a VCO enables the high speed FSK modulation without suffering frequency drift problem. The FSK discriminator uses injection-locked technique to perform frequency-to-phase transformation with low power consumption. Due to the lack of delay-dependent term in this new transformation, the accurate delay control circuits can be removed. Realized in the 0.13-mum CMOS technology, the FSK MODEM can achieve maximum data rate of 1.5 Gb/s. The power consumption of core modulator and demodulator is 14.4 mW.
IMPEDANCE SCALLING APPROACH FOR TELEOPERATION ROBOT CONTROL

Impedance scaling approach presented in this paper is specially developed for teleoperation robot control to meet requirements to control robots and mechatronic systems with completely different dimensions and mechanic characteristics than the human operator. It is applied to the developed RoTeMiNa robot system with 6 DOF and to the mechatronic handling device with 3 DOF for micro and nano operations. The hybrid approach transferring operator motion and manipulation skills for control of the robot system for cell micro and nano manipulations is based on visual/haptic interface.
Problems in modelling tasks and task views

We present the rudiments of a new theory of tasks and task views. The motivating idea is essentially as follows: in an environment in which several organizational agents cooperate to accomplish a common task, each of the agents need only know its own part of the task — this is the agent's task view. The underlying computer system may take responsibility for coordinating the actions among the different views. We discuss what task views are and why they are interesting. We also consider consistent task specification based on partial orderings of task actions and the problems involved. The major issues are the expressiveness of action conditions, tractable satisfaction of action conditions, and tractable testing for task consistency. Our notion of task consistency leads us to consider, among other things, the “expressiveness versus tractability” tradeoff encountered in knowledge representation, planning work, and a recent proposal for specification and refinement of office procedures.
Vacuum Polarization at Finite Temperature around a Magnetic Flux Cosmic String

We consider a general situation where a charged massive scalar field at finite temperature interacts with a magnetic flux cosmic string. We determine a general expression for the Euclidean thermal Green's function of the massive scalar field and a handy expression for a massless scalar field. With this result, we evaluate the thermal average and the thermal average of the energy--momentum tensor of a non-conformal massless scalar field.
MIGRATION ELASTICITIES, FISCAL FEDERALISM, AND THE ABILITY OF STATES TO REDISTRIBUTE INCOME

This paper develops a simulation model in order to examine the effectiveness of state attempts at redistribution under a variety of migration elasticity assumptions. Key outputs from the simulation include the impact of tax-induced migration on state revenues, excess burden, and fiscal externalities. With modest migration elasticities, the costs of state-level redistribution are substantial, but state action may still be preferred to a federal policy that is at odds with preferences of a state's citizens. At higher migration elasticities, the costs of state action can be tremendous. Overall excess burden is greater, but this is dominated by horizontal fiscal externalities. Horizontal fiscal externalities represent a cost to the state pursuing additional redistribution, but not a cost at the national level.
Joint-Detection using Fast Fourier Transforms in TD-CDMA based Mobile Radio Systems

Third generation mobile radio systems will employ TD-CDMA in their TDD mode. In a TD-CDMA mobile radio system, jointdetection is equivalent to solving a least squares problem with a block-Toeplitz system matrix. By extending this matrix to a block-circulant matrix, it is possible to blockdiagonalize the matrix with Fast Fourier Transforms. For the typical system scenario of a TD-CDMA system, the circularization requires only a slight modification of the system matrix. In addition, overlap-save techniques can be employed to reduce the computational complexity even further. The resulting joint detection algorithm is able to produce better bit error ratios than the conventional algorithm that is based on an approximate Cholesky decomposition while requiring even less computational effort.
Combining reputation and content-based filtering for blog article recommendation in social bookmarking websites

The new generation of web-based communities, Web2.0, represents an innovative spirit in sharing and managing contents. Social bookmarking is a portal for users to share, organize, search, and manage bookmarks of web resources. However, with the rapid growth of web documents that are produced every day, people are facing the problem of information overload. The Social bookmarking web site provides the push (user recommendation) counts of articles indicating the recommended popularity degrees of articles. In this paper, we propose to derive the popularity degree of an article by considering the reputation of users that push the article. Moreover, we propose a personalized blog article recommendation approach, which combines the reputation-based popularity with content based filtering, to recommend popular blog articles to users that satisfy their personal preferences. Our experimental results show that the proposed approach outperforms conventional approaches.
Link Prediction in Complex Networks by Supervised Rank Aggregation

Link prediction is a central task in the field of dynamic complex network analysis. A major trend in this area consists of applying a dyadic topological approach. Most of existing approaches apply machine learning algorithms where the link prediction problem is converted into a binary classification task. In this work, we propose a new dyadic topological link prediction approach applying supervised social choice algorithm. Given a training graph observed over a period [t0, t0'], this interval is divided into two sub-intervals: the learning interval and the labeling one. For each unlinked couple of vertices in the learning interval, a topological feature vector is computed. The labeling interval is used to fix the class of each example (e.g. linking, not-linking). Instead of learning a classification model as it is the case when applying machine learning approaches, we use these data to learn weights to associate to each computed feature based on the ability of each attribute to predict observed links. These weights are then used within weighted/supervised computational social choice algorithms to predict new links at time t > t0'. Two weighting schemes are experimented. We introduce weighted social choice rules by modifying classical voting approaches, namely: the Borda rule and the Kemeny aggregation rule. We also introduce our own concept of finding weights. We have implemented our approach on an academic coauthoring dataset (DBLP dataset). The preliminary results have been quite good, so we are working further on experimentation.
Molecular analysis of the CBP gene in 60 patients with Rubinstein-Taybi syndrome

Rubinstein-Taybi syndrome (RTS, MIM 180849) occurs in 1/125 000 births and is characterised by growth retardation and psychomotor developmental delay, broad and duplicated distal phalanges of the thumbs and halluces, typical facial dysmorphism, and an increased risk of neoplasia.1 RTS has been shown to be associated with chromosomal rearrangements in cytogenetic band 16p13.3,2–4 all involving the CREB binding protein gene, officially named CREBBP by the HUGO Nomenclature Committee, but generally referred to by its shorter acronym CBP . 5 CBP is a transcriptional coactivator involved in different signal transduction pathways, thereby regulating the expression of many genes and playing an important role in the regulation of cell growth, cellular differentiation, and tumour suppression.6,7 To date, all studies concerning CBP in RTS have used FISH analysis with cosmids from the CBP region or the search for mutations at the molecular level using the protein truncation test.8,9 Taken together, these studies showed that translocations and inversions form the minority of CBP mutations in RTS, microdeletions account for only 10% of RTS cases, and PTT studies showed 10% truncating mutations. The structure of the CBP gene was recently described.8 CBP spans about 150 kb with 31 exons and its cDNA is 9 kb in length. We report here the use of different molecular techniques to analyse the CBP gene in a cohort of 60 RTS patients. These include cDNA probes to search for gross rearrangements by Southern blot analysis and to identify CBP mRNA of abnormal sizes on northern blots, intragenic microsatellite markers to look for intragenic deletions, as well as a complete series of primers to PCR amplify each of the 31 exons of the gene for mutation searching by direct sequencing. We have analysed 60 patients using these various techniques and identified 27 …
COMBINING METHODS IN SUPERVISED CLASSIFICATION: A COMPARATIVE STUDY ON DISCRETE AND CONTINUOUS PROBLEMS

• Often in discriminant analysis several models are estimated but based on some validation criterion, a single model is selected. In the purpose of taking profit from several potential models, classification rules combining models are considered in this article. More precisely two ways of combining models are considered: a serial combining method and a hierarchical combining method. Serial combining is a convex linear combination of a finite number of models. Hierarchical combining method leads to nested models structured in a binary tree. In this paper, several combining methods resorting from both points of view are presented and their performances are assessed on discrete and continuous classification problems.