Miracle-dz/UniFAR-FTUs huggingface dataset:
FERMI-LAT OBSERVATIONS OF SUPERNOVA REMNANT G5.7–0.1, BELIEVED TO BE INTERACTING WITH MOLECULAR CLOUDS

This work reports on the detection of γ-ray emission coincident with the supernova remnant (SNR) G5.7–0.1 using data collected by the Large Area Telescope on board the Fermi Gamma-ray Space Telescope. The SNR is believed to be interacting with molecular clouds, based on 1720 MHz hydroxyl (OH) maser emission observations in its direction. This interaction is expected to provide targets for the production of γ-ray emission from π0-decay. A γ-ray source was observed in the direction of SNR G5.7–0.1, positioned near the bright γ-ray source SNR W28. We model the emission from radio to γ-ray energies using a one-zone model. Following consideration of both π0-decay and leptonically dominated emission scenarios for the MeV–TeV source, we conclude that a considerable component of the γ-ray emission must originate from the π0-decay channel. Finally, constraints were placed on the reported ambiguity of the SNR distance through X-ray column density measurements made using XMM-Newton observations. We conclude G5.7–0.1 is a significant γ-ray source positioned at a distance of ∼3 kpc with luminosity in the 0.1–100 GeV range of Lγ ≈ 7.4 × 1034 erg s−1.
Antibacterial Activity of Several Concentrations of Sater (Satureja hortensis L.) Essential Oil on Spoilage and Pathogenic Food - Related Microorganisms

The present study was designed to establish the antibacterial activities of several concentrations of sater (Satureja hortensis L.) essential oil which is widely used as a condiment and herbal tea and collected from Mersin (Buyukeceli-Gulnar) in Turkey. Sater commonly consumed and grown naturally in Turkey was tested against eleven bacterial strains to compare their antibacterial effects with seven antibiotics. The results showed that the essential oil tested varied in their antimicrobial activity. All concentrations of oil were found to posses an activity against tested microorganisms depending on increasing doses. While inhibition zones of 10, 20, 30 and 40 µg concentrations of oil against Streptococcus salivarius, Listeria monocytogenes, Staphylococcus aureus, Streptococcus pneumoniae, Klebsiella pneumoniae, Pseudomonas aeruginosa and Streptococcus mutans were found smaller than on Bacillus cereus, Salmonella enteritidis, Escherichia coli and Bacillus anthracis strains. Generally, oil at 70, 80, 90 and 100 µg, were more effective on Salmonella enteritidis, Streptococcus pneumoniae, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Streptococcus mutans When compared with penicillin, amikacine, cefepime, gentamicin, ceftriaxone, cefaperazon sulbaktam. As a result, the use of sater essential oil as antiseptics and disinfectants may be useful in the field of food preservation and food processing plants.
Necessary and Sufficient Optimality Conditions for Relaxed and Strict Control Problems

We consider a stochastic control problem where the set of strict (classical) controls is not necessarily convex, and the system is governed by a nonlinear stochastic differential equation, in which the control enters both the drift and the diffusion coefficients. By introducing a new approach, we establish necessary as well as sufficient conditions of optimality for two models. The first concerns the relaxed controls, which are measure-valued processes in which an optimal solution exists. The second is a particular case of the first and relates to strict control problems. These results are given in the form of global stochastic maximum principle by using only the first-order expansion and the associated adjoint equation. This improves all of the previous works on the subject.
Perception of emotional expressions in different representations using facial feature points

Facial expression recognition is an enabling technology for affective computing. Many existing facial expression analysis systems rely on automatically tracked facial feature points. Although psychologists have studied emotion perception from manually specified or marker-based point-light displays, no formal study exists on the amount of emotional information conveyed through automatically tracked feature points. We assess the utility of automatically extracted feature points in conveying emotions for posed and naturalistic data and present results from an experiment that compared human raters' judgements of emotional expressions between actual video clips and three automatically generated representations of them. The implications for optimal face representation and creation of realistic animations are discussed.
Test-Retest Reliability of Measurements of the Center of Pressure Displacement in Quiet Standing and During Maximal Voluntary Body Leaning Among Healthy Elderly Men

Test-Retest Reliability of Measurements of the Center of Pressure Displacement in Quiet Standing and During Maximal Voluntary Body Leaning Among Healthy Elderly Men The aim of the study was to evaluate intra- and intersession test-retest reliability for the measurements of centre of pressure displacement in quiet standing and during maximal voluntary body leaning (approximate area of stability limits). 27 elderly men participated in the study (71.4±4.9 of age). Intrasession (4 measurements with two-minute breaks) and intersession (4 measurements one week apart) reliability were examined. Parameters connected to the centre of pressure data (AMTI force platform) were measured during a quiet stance and voluntary body leaning in medio-lateral and anterior-posterior directions (approximate limits of stability). Intraclass correlation coefficients (ICC2,1 and ICC2, k) were calculated. In case of quiet standing, only mean velocity of centre of pressure sway provides high reliability in intrasession - ICC2,1 of . 84 and ICC2, k of . 96, and in intersession - ICC2,1 of . 76. Evaluation of limits of stability showed high values of all parameters (maximal and minimal displacement in sagittal and frontal planes, distance between maximal and minimal position of centre of pressure in sagittal and frontal planes and approximated area of stability limits) in intrasession - ICC2,1 between . 82 to . 96 and ICC2, k between . 95 to . 99. Similar tendency was observed in the intersession retest. Average velocity of the centre of pressure is the only parameter that showed a high application value in case of measurements during quiet standing. Parameters related to the stability limits appeared very reliable what proves that this evaluation may have potential application in the clinical practice.
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1  Abstract—A near-optimal base-station antenna array synthesis suitable for broadcasting applications is presented. The array is required to provide a high-gain radiation pattern with a main lobe slightly tilted from the horizontal plane and null filling inside an angular sector under the main lobe. To satisfy the above requirements, a novel Invasive Weed Optimization (IWO) variant called Taguchi Initialized IWO (TI-IWO) is proposed in the present paper. In TI-IWO, the Taguchi's Optimization method is employed to initialize effectively the positions of the weeds used by the IWO method. In this way, the fitness function starts from lower values and thus the TI-IWO method finds better near-optimal solutions than the conventional IWO method. The proposed method has been applied to linear arrays. Due to its easy implementation in practice, a uniform-amplitude excitation distribution is considered to be applied on the array elements. Two cases of isotropic source arrays are studied under specific requirements for maximum possible gain, main lobe tilting and null filling. Also, the TI-IWO method is applied to optimize realistic cases of collinear wire dipole arrays in front of a mast under the same requirements and an additional one concerning the impedance matching of all the dipoles.
Motion compensation with higher order motion models for HEVC

In recent video compression standards only translational motion is accurately compensated, constraining any higher order motion to be approximated by being split into smaller translational units. The objective of this paper is to improve the coding efficiency for video sequences containing complex motion.Various higher order motion models are considered and evaluated to this end. Motivated by the higher maximum block size introduced by the High Efficiency Video Coding Standard (HEVC) and a suitable combination of motion parameter estimation, interpolation and coding, a higher order motion compensation framework for the HEVC is proposed. Through this an average data reduction of 2.9% as well as an increase in average block size is achieved.
Student engagement, non-completion and pedagogy: Development of a measurement tool

A significant body of research documents the negative consequences of dropping out of school for both the individual and society. In attempting to respond to the problem of early school leaving, schools and systems internationally have put in place a range of system-level and local responses such as mentoring, targeted additional career guidance and homework clubs. Unfortunately, these ‘add-ons’ often stop outside the classroom door, and do not consider the impact of teaching practices on students’ engagement in school and their decisions to remain or leave. This article reports on the development of instruments aimed at measuring four constructs that have been shown to be related to student engagement and school completion, namely competence, autonomy, relatedness and an appreciation of subject relevance. Analyses of data from a small sample of Year 9 students (N = 48) in two Australian secondary schools indicated that, with some adjustments, the research instruments developed provided reliable and valid measures of the four constructs for use in large-scale research with students.
Decoding of Linear Block Codes using Partial Reliability Level List based Low Complex A* Algorithm

The A* algorithm is an efficient tree search algorithm which is used for decoding linear block codes. This algorithm involves expansion of each node in the tree to a 0 or 1 which corresponds to a codeword. Any reduction in expansion contributes significantly towards reduction in complexity. Reliability Level List (RLL) based decoding scheme uses the exact reliability value in identifying the most reliable codeworddirectly without the need for identifying a set of candidate codewords and then choosing the most probablecodeword from it. In this paper, a partial RLL for (n-k) number of bits has been used in the process of decoding using A* Algorithm. This results in significant reduction in expansion of nodes, thus bringing down the complexity. Key WordsDecoding, Linear block codes, A* algorithm, BCH Codes.
Finger-Knuckle-Print Based Recognition System using LBP and SURF

— Finger knuckle bending produces a highly unique texture pattern and it can be used as a distinctive biometric identifier. This paper presents a novel combination of local-local information for an efficient finger-knuckle-print (FKP) based recognition system which is robust to scale and rotation. The non-uniform brightness of the FKP due to relatively curvature surface is corrected and texture is enhanced. The local features of the enhanced FKP are extracted using the LBP histogram and the speeded up robust features (SURF). Corresponding features of the enrolled and the query FKPs are matched using nearest-neighbour-ratio method and then the derived LBP and SURF matching scores are fused using weighted sum rule. The proposed system has been evaluated using PolyU FKP database of 7920 images for both identification mode and verification mode.Its parameters have been tuned to get optimum performance. LBP histograms was used for texture feature extraction of a FKP image. SURF has made the system robust against scale and rotation.
lattening without picking

We present an efficient full-volume automatic dense-picking method for flattening seismic data. First local dips stepouts are calculated over the entire seismic volume. The dips are then resolved into time shifts or depth shifts using a nonlinear Gauss-Newton iterative approach that exploits fast Fourier transforms to minimize computation time. To handle faults discontinuous reflections , we apply a weighted inversion scheme. The weight identifies locations of faults, allowing dips to be summed around the faults to reduce the influence of erroneous dip estimates near the fault. If a fault model is not provided, we can estimate a suitable weight essentially a fault indicator within our inversion using an iteratively reweighted least squares IRLS method. The method is tested successfully on both synthetic and field data sets of varying degrees of complexity, including salt piercements, angular unconformities, and laterally limited faults.
Natural Language Generationin the Mile SystemPaul Piwek

We describe how Natural Language Generation (nlg) Technology is used in the Mile system. Mile is a web-based system for accessing maritime rules and regulations. We explain how the architecture of the system was derived from a set of user requirements and focus on the role of nlg in this architecture. More speciically, we describe how multilingual generation of answers to queries and the use of the nlg-based wysiwym-technology for multilingual query formulation t into the architecture. The architecture is diierent from conventional dialogue systems in that it is centered around a dialogue database which allows the user to store, retrieve and manipulate so-called dialogue histories (i.e., language-independent records of the dialogue between the user and the system).
Using google distance for query expansion in expert finding

Expert finding, which identifies people with relevant knowledge or skills, is one of the most important issues under many circumstances. In this paper, we propose a method that utilizes Normalized Google Distance (NGD) with some global factors to enhance the relevance between initial query and extended query, and to improve the accuracy of the search results of the expert finding system. Results of a numerical study show that the NGD-based method has a higher accuracy than the methods proposed in the literature, and that the NGD-based method is more effective as the number of top results, N, increases. Moreover, the precision rate of our NGD-based method is, on average, higher than that of the other methods in the literature by 5%.
Development of mobile-based intelligent surgery information system

Nowadays, medical industry actively develops mobile-based information system to improve service quality. It can not only reduce writing errors caused by human negligence, but also reduce nurse's and physician's workload and elevate the quality of patient care. The study was conducted at a medical center located in northern Taiwan. Through the establishment of the proposed mobile-based information system, documents used in surgeries are eliminated and are recorded in computers. This mobile-based information system combines HIS, PACS and LIS to assist medical personnel to import patient's clinical records, imaging reports, inspection reports and other relevant information before, during and after surgery. We propose the record, re-check, report and reference, the 4R checking mechanism as the core concept of the development of the proposed mobile-based intelligent surgery information system. The checking mechanism can automatically view the completion of medical record, and maintain a high degree of integrity if the records are incomplete. After launching the system one and half year, we conduct a questionnaire survey and collect data from nurses and physicians who use this system. The survey was designed to measure the successfulness of the mobile-based information system. Questions focused on three broad areas: information quality, system quality, and users' satisfaction. The results confirmed a high degree of satisfaction among users. According to the feedback, it shows that the system should improve the function of automatic saving on regular basis.
Transfer Feature Representation via Multiple Kernel Learning

Learning an appropriate feature representation across source and target domains is one of the most effective solutions to domain adaptation problems. Conventional cross-domain feature learning methods rely on the Reproducing Kernel Hilbert Space (RKHS) induced by a single kernel. Recently, Multiple Kernel Learning (MKL), which bases classifiers on combinations of kernels, has shown improved performance in the tasks without distribution difference between domains. In this paper, we generalize the framework of MKL for cross-domain feature learning and propose a novel Transfer Feature Representation (TFR) algorithm. TFR learns a convex combination of multiple kernels and a linear transformation in a single optimization which integrates the minimization of distribution difference with the preservation of discriminating power across domains. As a result, standard machine learning models trained in the source domain can be reused for the target domain data. After rewritten into a differentiable formulation, TFR can be optimized by a reduced gradient method and reaches the convergence. Experiments in two real-world applications verify the effectiveness of our proposed method.
Named entity extraction from spontaneous speech in how may i help you?

The understanding module of a spoken dialogue system must extract, from the speech recognizer output, the kind of request expressed by the caller (the call type ) and its parameters (numerical expressions, time expressions or proper-name). The deﬁnition of such parameters (called Named Entities , NE) is linked to the dialogue application. Detecting and extracting such contextual NEs for the How May I Help You? (cid:10)(cid:12)(cid:11)(cid:14)(cid:13) (cid:15)(cid:16)(cid:11) application is the subject of this study. By detecting NEs with a statistical tagger on 1-best hypotheses and by extracting their values with local models on word-lattices, we show very signiﬁcant improvements compared to the traditional approach which uses regular expressions on the 1-best hypothesis only.
The Optical Afterglow of GRB 971214: Further Evidence for a Varied Population

We present an R-band lightcurve of an optical transient which is likely to be associated with the gamma-ray burst event GRB 971214. Our first measurement took place 17 hours after the gamma-ray event. The brightness decayed with a power-law exponent α = −1.380 ± 0.013, which is significantly faster than the other two optically identified bursts, GRB970228 and GRB970508 which had exponents of α = −1.10 ± 0.04 (Galama et al. 1997) and α = −1.141 ± 0.014 (Galama et al. 1998) respectively. The transient decayed monotonically during the first four days following the gamma-ray event in contrast with the optical transient associated with GRB 970508 which increased in brightness, peaking two days after the burst, before settling to a power-law decay. This event provides clear observational evidence that the optical afterglows of gamma-ray bursts are not universal. The differences are plausibly intrinsic but could also be due to varying source redshifts. Subject headings: gamma rays: bursts Department of Astronomy, Box 351580, University of Washington, Seattle, WA 98195; diercks@astro.washington. edu; deutsch@astro.washington. edu Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637; fjc@oddjob.uchicago. edu; lamb@pion.uchicago. edu Apache Point Observatory, 2001 Apache Point Rd., Sunspot NM 88349; corson@galileo.apo. nmsu.edu Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, UK; gil@ast.cam. ac.uk Princeton University Observatory, Peyton Hall, Princeton, NJ 08544; elt@astro.princeton. edu Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, MD 21218; wyse@wyser.pha. jhu.edu
The Base Excision Repair System of Salmonella enterica serovar Typhimurium Counteracts DNA Damage by Host Nitric Oxide

Intracellular pathogens must withstand nitric oxide (NO·) generated by host phagocytes. Salmonella enterica serovar Typhimurium interferes with intracellular trafficking of inducible nitric oxide synthase (iNOS) and possesses multiple systems to detoxify NO·. Consequently, the level of NO· stress encountered by S. Typhimurium during infection in vivo has been unknown. The Base Excision Repair (BER) system recognizes and repairs damaged DNA bases including cytosine and guanine residues modified by reactive nitrogen species. Apurinic/apyrimidinic (AP) sites generated by BER glycosylases require subsequent processing by AP endonucleases. S. Typhimurium xth nfo mutants lacking AP endonuclease activity exhibit increased NO· sensitivity resulting from chromosomal fragmentation at unprocessed AP sites. BER mutant strains were thus used to probe the nature and extent of nitrosative damage sustained by intracellular bacteria during infection. Here we show that an xth nfo S. Typhimurium mutant is attenuated for virulence in C3H/HeN mice, and virulence can be completely restored by the iNOS inhibitor L-NIL. Inactivation of the ung or fpg glycosylase genes partially restores virulence to xth nfo mutant S. Typhimurium, demonstrating that NO· fluxes in vivo are sufficient to modify cytosine and guanine bases, respectively. Mutants lacking ung or fpg exhibit NO·–dependent hypermutability during infection, underscoring the importance of BER in protecting Salmonella from the genotoxic effects of host NO·. These observations demonstrate that host-derived NO· damages Salmonella DNA in vivo, and the BER system is required to maintain bacterial genomic integrity.
Duration, timing and order: How housing histories relate to later life wellbeing

Accumulation, critical period and social mobility are three powerful, interrelated life course mechanisms often tested using relatively crude empirical measures. This contribution wants to highlight the possibilities of life history data in grasping the importance of duration, timing and order of housing over the life course, by examining its association with wellbeing in later life. Housing is a key dimension of life course socioeconomic position, as the most common form of wealth accumulation in the UK. Our study makes use of the residential life history data, from birth up until the age of 50, collected in wave 3 of the English Longitudinal Study of Ageing (ELSA), in a combination of sequence analysis, cluster analysis and regression techniques. A longer duration of renting and owning accommodation is related to respectively worse and better later life affective and eudemonic wellbeing. Moving more in childhood is not associated with later life wellbeing, while frequent moving in young adulthood has a positive association with affective and eudemonic wellbeing. Moving more in midlife is associated with lower life satisfaction. Ten distinct housing careers emerge, illustrating the importance of accommodating heterogeneity in the population. Downward housing trajectories are associated with significantly lower later life wellbeing, while growing up abroad as a child is associated with higher later life wellbeing.