Miracle-dz/UniFAR-FTUs huggingface dataset:
Six detached white-dwarf close binaries

We determine the orbits of four double-degenerate systems (DDs), composed of two white dwarfs and two white-dwarf-M-dwarf binaries. The four DDs, WD1022+050, WD1428+373, WD1824+040 and WD2032+188, show orbital periods of 1.157155(5), 1.15674(2), 6.26602(6) and 5.0846(3) d, respectively. These periods combined with estimates for the masses of the brighter component, based on their effective temperatures, allow us to constrain the masses of the unseen companions. We estimate that the upper limit for the contribution of the unseen companions to the total luminosity in the four DDs ranges between 10 and 20 per cent. In the case of the two white-dwarf-M-dwarf binaries, WD 1042-690 and WD2009+622, we calculate the orbital parameters by fitting simultaneously the absorption line from the white dwarf and the emission core from the M dwarf. Their orbital periods are 0.337083(1) and 0.741 226(2) d, respectively. We find signatures of irradiation on the inner face of the companion to WD2009+622. We calculate the masses of both components from the gravitational redshift and the mass-radius relationship for white dwarfs and find masses of 0.75-0.78 and 0.61-0.64 M ○. for WD 1042-690 and WD2009+622, respectively. This indicates that the stars probably reached the asymptotic giant branch in their evolution before entering a common envelope phase. These two white-dwarf-M-dwarf binaries will become cataclysmic variables, although not within a Hubble time, with orbital periods below the period gap.
A Study of Psychological Support from Local Residents for Hosting Mega-Sporting Events: A Case of the 2012 Indianapolis Super Bowl XLVI

361 Address correspondence to Brian D. Krohn, Ph.D., Assistant Professor, Department of Tourism, Conventions and Event Management, School of Physical Education and Tourism Management, Indiana University-Purdue University Indianapolis (IUPUI), 901 West New York Street, Office 258A, Indianapolis, IN 46202, USA. Tel: +1-317-274-7615; Fax: +1-317-278-2041; E-mail: bkrohn@iupui.edu A Study of PSychologicAl SuPPort from locAl reSidentS
High-throughput mitochondrial genome screening method for nonmelanoma skin cancer using multiplexed temperature gradient capillary electrophoresis.

BACKGROUND We explored the utility of multiplexed temperature gradient capillary electrophoresis (TGCE) as a screening tool for identifying genetic changes in the human mitochondrial genome. We examined changes in mitochondrial DNA (mtDNA) in nonmelanoma skin cancers (NMSCs), using TGCE to resolve genetic differences contained within the tumors compared with the control DNA. METHODS The entire mtDNA from NMSC tissue samples was amplified in 17 overlapping amplicons averaging 1.1 kb in size. Fourteen of these amplicons were digested with restriction endonucleases into as many as five smaller analyzable fragments. Digested tumor mtDNA amplicons were annealed with digested amplicons from the control DNA to form heteroduplexes in regions of DNA mismatch. TGCE was performed in a 96-well parallel format to detect mtDNA changes in a high-throughput fashion. RESULTS TGCE resolved heteroduplexes from homoduplexes in singlet reactions and in multiplexed assays. Using a single programmed temperature gradient, we detected 18 of 20 mtDNA changes contained within the specimens. This system was also able to detect a single nucleotide change in a fragment as large as 2 kb. CONCLUSION Multiplexed TGCE is a sensitive and high-throughput screening tool for identifying mtDNA variations.
Assessing Relative Spending Needs of Devolved Government: The Case of Healthcare Spending in the UK

Ball R. , Eiser D. and King D. Assessing relative spending needs of devolved government: the case of healthcare spending in the UK, Regional Studies. The block grants allocated to the UK's devolved administrations are not determined by any estimate of their spending needs. There are increasing calls to replace the current grant allocation mechanism with one that explicitly considers the devolved administrations' spending needs. This paper compares two existing formulae for estimating healthcare spending needs – used by the National Health Service (NHS) to allocate resources within England and Scotland – by applying both formulae to the devolved administrations. It is found that these formulae provide very similar estimates of the devolved administrations' healthcare spending needs, and both formulae imply that the current distribution of resources across the devolved administrations may be inequitable.
Dynamic Modelling of a Flexible Beam Structure Using Feedforward Neural Networks for Active Vibration Control

Active vibration control (AVC) techniques show promising results to reduce unwanted vibration level of flexible structures at any desired location. In this paper, the application of non-parametric identification method using feedforward neural networks (FNNs) to model a flexible beam structure for AVC system is presented. An experimental study was carried out to collect input-output dataset of a flexible beam system. The flexible beam was excited using a pseudo-random binary sequence (PRBS) force signal before acquiring the dynamic response of the system. A non-parametric modelling approach of the system was proposed based on feed-forward neural networks (FNNs) while its weight and bias parameters were optimised using chaotic-enhanced stochastic fractal search (SFS) algorithm. The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. Correlation tests were used to validate the obtained model. Based on the proposed method, a small mean squared error value has been achieved in the validation phase. Considering both convergence rate and result accuracy simultaneously, the chaotic modified SFS algorithm performs significantly better than other training algorithms. In conclusion, the development of a non-parametric model of the flexible beam structure was conducted and validated for future investigations on active vibration control techniques.
Some simulations of the effect of varying excitation parameters on the transients of reed instruments

This paper considers the simulation of self-sustained oscillations in reed and brass instruments, based on a compact continuous-time formulation of the sound production mechanism. The control parameters such as the mouth pressure and the player's embouchure, but also the acoustic resonator and the reed may vary with respect to time, allowing the analysis of transient and non-stationary phenomena like changes of regime. A particular attention is first given to staccato notes, with comparison of the evolution of the instantaneous frequency in simulations to theoretical and experimental results. This shows the importance of using realistic control parameters on the onset of the oscillations. When the acoustic resonator is modelled using a modal expansion with non-stationary resonance frequencies and damping, it is also possible to simulate and study slurs and musical effects like the wah-wah, gaining some insight on the mechanisms involved.
A mixed discrete particle swarm optimization for TSP

Particle swarm optimization (PSO) is a new evolution computing technology, its applications in discrete problem is a hot and valued field. Basing on the present algorithm of particle swarm optimization, this paper construct a special mixed discrete particle swarm optimization (MDPSO), and get a new formula of the velocity, via presenting the crossover and mutation of the genetic algorithm (GA). As applications, we propose it to traveling salesman problem (TSP) with 17 nodes and 14 nodes. Experimental results show that the proposed algorithm would greatly improve the efficiency of DPSO, especially, the convergence rate.
Implementation of laser navigation system using particle filter

This paper presents a positioning method of the laser guidance with a particle filter for an AGV (automatic guided vehicle). Wired guidance and magnetic guidance system have been used mainly for AGV's guidance in industry. However, these guidance systems have an expensive installation cost and a difficult maintenance. Therefore, the laser guidance system as a wireless guidance system is increasingly used. However, this system has a number of positioning errors when the AGV turns or moves fast by the characteristics of the laser guidance which detects reflectors using a rotating header within the particular operating environment. Hence, this paper proposes a positioning method to improve the performance of the laser guidance system. The proposed system integrates two encoders, a gyro sensor and laser guidance through the particle filter. To verify the performance of the proposed positioning method, we compare the positioning accuracy of the proposed method with an existing product of the laser guidance system. The experimental results show that the proposed method is more accurate than the existing product.
Using Dance/Movement Therapy and Laban Movement Analysis to Build a Better Model of Rehabilitation for Chronic Pain

This paper aims to explore the physical and psychological symptoms of chronic pain, the current treatments for chronic pain, and the use of Dance/Movement Therapy with Laban Movement Analysis and Bartenieff Fundamentals to build a better rehabilitation model that integrates the treatment of both the physical and psychological symptoms of chronic pain for long-term treatment. Currently, chronic pain is medically managed by separating the physical and psychological symptoms, creating an oversimplified and fragmented treatment process. Many medical and alternative treatments are reliant on pharmaceuticals and do not integrate the treatment of physical and psychological symptoms, rendering the current chronic pain treatment unsuccessful. Dance/Movement Therapy with Laban Movement Analysis and Bartenieff Fundamentals accomplishes the integration of observation, assessment, and intervention of both physical and psychological symptoms, bridging together the different therapeutic strategies which are fragmented within the traditional medical model to provide a holistic rehabilitation process. This paper introduces a better model of rehabilitation for chronic pain centered on Dance/Movement Therapy with Laban Movement Analysis and Bartenieff Fundamentals.
Identification of metamorphic viruses

Advancement in computer viruses complexity is a big threat for researchers working in the field of computer virology. The methods and techniques developed cannot assure the complete disinfection and cure, but still lot of efficient methods are developed by researchers. Our proposed technique includes the three test cases that are designed for the identification of metamorphic viruses. First test case contains the combination of static analysis and edit distance approach. Second test case contains static analysis and pairwise alignment. Third test case contains the combination of static analysis, pairwise alignment and edit distance approach. First two test cases describe the extension of similarity analysis with static analysis for identification of metamorphic viruses. Test case third is designed to assure exact detection that leads to detection of metamorphic viruses with very low false positive and false negative rate. Experimental results are obtained to demonstrate that our method is efficient for identification of metamorphic viruses and achieve satisfactory performance.
Improving the Performance of an Example-Based Machine Translation System Using a Domain-specific Bilingual Lexicon

In this paper, we study the impact of using a domain-specific bilingual lexicon on the performance of an Example-Based Machine Translation system. We conducted experiments for the EnglishFrench language pair on in-domain texts from Europarl (European Parliament Proceedings) and out-of-domain texts from Emea (European Medicines Agency Documents), and we compared the results of the Example-Based Machine Translation system against those of the Statistical Machine Translation system Moses. The obtained results revealed that adding a domain-specific bilingual lexicon (extracted from a parallel domain-specific corpus) to the general-purpose bilingual lexicon of the Example-Based Machine Translation system improves translation quality for both in-domain as well as outof-domain texts, and the Example-Based Machine Translation system outperforms Moses when texts to translate are related to the specific domain.
A Floorplan-Aware Dynamic Inductive Noise Controller for Reliable Processor Design

Power delivery is a growing reliability concern in microprocessors as the industry moves toward feature-rich, power-hungrier designs. To battle the ever-aggravating power consumption, modern microprocessor designers or researchers propose and apply aggressive power-saving techniques in the form of clock-gating and/or power-gating in order to operate the processor within a given power envelope. These techniques, however, often lead to high-frequency current variations, which can stress the power delivery system and jeopardize reliability due to inductive noise (L(di/dt)) in the power supply network. To counteract these issues, modern microprocessors are designed to operate under the worst-case current assumption by deploying adequate decoupling capacitance. With the trend of lower supply voltage and increased leakage power and current consumption, designing a processor for the worst case is becoming less appealing. In this paper, we propose a new dynamic inductive-noise controlling mechanism at the microarchitectural level that limit the on-die current demand within predefined bounds, regardless of the native power and current characteristics of running applications. By dynamically monitoring the access patterns of microarchitectural modules, our mechanism can effectively limit simultaneous switching activity of close-by modules, thereby leveling voltage ringing at local power-pins. Compared to prior art, our di/dt controller is the first that takes the processor's floorplan as well as its power-pin distribution into account to provide a finer-grained control with minimal performance degradation. Based on the evaluation results using 2D floorplans, we show that our techniques can significantly improve inductive noise induced by current demand variation and reduce the average current variability by up to 7 times with an average performance overhead of 4.0%
Pulsar braking indices revisited

Using the standard equation for the slowdown of a neutron star, we derive a formula for the braking index via integration rather than the conventional differentiation. The new formula negates the need to measure the second time derivative of the rotation frequency, . We show that the method gives similar braking indices for PSR B1509−58 and the Crab pulsar to those already in the literature. We point out that our method is useful for obtaining the braking indices of moderate-aged pulsars without the need for long, phase-connected timing solutions. We applied the method to 20 pulsars and discuss the implications of the results. We find that virtually all the derived braking indices are dominated by the effects of (unseen) glitches, the recovery from which corrupts the value of . However, any real, large, positive braking index has implications for magnetic field decay and offers support to recent models of pulsar evolution.
Automated , Sub-second Attack Signature Generation : A Basis for Building Self-Protecting Servers ∗

It is widely recognized that large-scale attacks, such as those launched by worms and zombie farms, pose a grave threat to our network-centric society. Existing approaches such as software patches are simply unable to cope with the volume and speed with which new vulnerabilities are being discovered. In this paper, we develop a new approach that can provide effective protection against a vast majority of these attacks that exploit memory errors in C/C++ programs. Our approach uses a forensic analysis of a victim server memory to correlate attacks to inputs received over the network, and automatically develop a signature that characterizes inputs that carry attacks. The signatures tend to capture characteristics of the underlying vulnerability (e.g., a message field being too long) rather than the characteristics of an attack, thereby making it effective against variants of attacks. Our approach introduces low overheads (under 10%), does not require access to source code of the protected server, and has successfully generated signatures for all of the attacks that we studied in our experiments, without producing false alarms. Signature generation is fast, taking a few milliseconds at most. This enables such filters to be deployed very quickly, thereby providing protection against fast-spreading worms. Another interesting aspect of our approach is that it can defeat guessing attacks reported against (i) address space randomization and (ii) instruction set randomization techniques. Moreover, our approach greatly decreases the performance impact of unsuccessful attacks. In particular, availability of servers subjected to repeated attacks is improved by a factor of 10 or more by our approach.
Cost–Effective Prediction of Gender-Labeling Errors and Estimation of Gender-Labeling Error Rates in Candidate-Gene Association Studies

We describe a statistical approach to predict gender-labeling errors in candidate-gene association studies, when Y-chromosome markers have not been included in the genotyping set. The approach adds value to methods that consider only the heterozygosity of X-chromosome SNPs, by incorporating available information about the intensity of X-chromosome SNPs in candidate genes relative to autosomal SNPs from the same individual. To our knowledge, no published methods formalize a framework in which heterozygosity and relative intensity are simultaneously taken into account. Our method offers the advantage that, in the genotyping set, no additional space is required beyond that already assigned to X-chromosome SNPs in the candidate genes. We also show how the predictions can be used in a two-phase sampling design to estimate the gender-labeling error rates for an entire study, at a fraction of the cost of a conventional design.
How precise is the PRECICE compared to the ISKD in intramedullary limb lengthening?

Background and purpose — The PRECICE intramedullary limb lengthening system uses a new technique with a magnetic rod and a motorized external remote controller (ERC) with rotational magnetic field. We evaluated the reliability and safety of the PRECICE system. Methods — We compared our preliminary results with PRECICE in 24 patients (26 nails) with the known difficulties in the use of mechanical lengthening devices such as the ISKD. We used the Paley classification for evaluation of problems, obstacles, and complications. Results — 2 nails were primarily without function, and 24/26 nails lengthened over the desired distance. Lengthening desired was 38 mm and lengthening obtained was 37 mm. There were 2 nail breakages, 1 in the welding seam and 1 because of a fall that occurred during consolidation. ERC usage was problematic mostly in patients with femoral lengthening. Adjustment of the ERC was necessary in 10 of 24 cases. 15 cases had implant-associated problems, obstacles were seen in 5 cases, and complications were seen in each of 4 cases. Interpretaion — The reliability of the PRECICE system is comparable to that of other intramedullary lengthening devices such as the ISKD. The motorized external remote controller and its application by the patients is a weak point of the system and needs strict supervision.
Diversity of Serine Hydrolase Activities of Unchallenged and Botrytis-infected Arabidopsis thaliana*S

Activity-based protein profiling is a powerful method to display enzyme activities in proteomes and provides crucial information on enzyme activity rather than protein or transcript abundance. We applied activity-based protein profiling using fluorophosphonate-based probes to display the activities of Ser hydrolases in the model plant Arabidopsis thaliana. Multidimensional protein identification technology and in-gel analysis of fluorophosphonate-labeled leaf extracts revealed over 50 Ser hydrolases, including dozens of proteases, esterases, and lipases, representing over 10 different enzyme families. Except for some well characterized Ser hydrolases like subtilases TPP2 and ARA12, prolyl oligopeptidase acylamino acid-releasing enzyme, serine carboxypeptidase-like SNG1 and BRS1, carboxylesterase-like CXE12, methylesterases MES2 and MES3, and S-formylglutathione hydrolase, the majority of these serine hydrolases have not been described before. We studied transiently expressed SNG1 and investigated plants infected with the fungal pathogen Botrytis cinerea. Besides the down-regulation of several Arabidopsis Ser hydrolase activities during Botrytis infection, we detected the activities of Botrytis-derived cutinases and lipases, which are thought to contribute to pathogenicity.
Adaptive Lumigraph Rendering with Depth Maps

The quality of standard two plane parameterized light field rendering can be greatly improved by introducing a coarse geometric model of the scene which can be used to correct the interpolation process. This so called lumigraph rendering normally applies a subdivision scheme to achieve better results and additionally assumes that rays can be cast through the model to calculate exact depth information. But if the geometric information is given in the form of depth maps then the standard approach cannot be used. This paper describes the occurring problems and an approach which can render depth map corrected lightfields.
A parametric analysis of the surface roughness of teeth shaped by a pinion shaper cutter and guidelines for choosing process parameters

A parametric mathematical model is presented, by which it is possible to determine the machined gear tooth surface topography cut by a pinion shaper cutter. Arbitrary internal or external helical gears designs can be considered, the gear and the shaper cutter must only share a basic rack design. The basic rack has here an elliptical fillet, as it allows fewer tool tooth numbers without the risk of undercut. The machined tooth surface is presented in three dimensions and by surface roughness parameters R z , R m , and R a . A novel method to choose cutting parameters and tool design is also presented.
IPSecco: A lightweight and reconfigurable IPSec core

In this paper we propose a reconfigurable lightweight Internet Protocol Security (IPSec) hardware core. Our architecture supports the main IPSec protocols; namely Authentication Header (AH), Encapsulating Security Payload (ESP), and Internet Key Exchange (IKE). In this work, the cryptographic algorithms and their modes of operation, which are at the heart of the IPSec protocols, are implemented in hardware. Instead of re-implementing common IPSec configurations, which are deemed “too heavy” for pervasive devices, we evaluate efficient implementations of standardized and/or well-known lightweight and hardware-friendly algorithms. In particular, we examine different versions of Present, Grøstl, Photon, and a very compact ECC core. As a consequence, we present IPSecco, a core with adequate security and only moderate resource requirements, making it suitable for lightweight devices. We selected the Xilinx Spartan family of Field Programmable Gate Arrays (FPGA) as target platform due its low-power footprint and reduced costs compared to other FPGAs. Our results show that it is possible to realize a high performance IPSec core even on members of the Spartan-3 family.