Miracle-dz/UniFAR-FTUs huggingface dataset:
A heuristic for task scheduling based on hasse diagram

The problem of optimally mapping independent tasks onto heterogeneous machines such that the completion time of the last finishing task is minimized is NP-complete. Quite a lot of heuristics have been introduced to optimize the figure of merit. Among them, the algorithms HLTF (The Heterogeneous Largest Task First) and Segmented Min-Min have better makespans. However, the HLTF heuristic doesn't explain how to describe the heterogeneity of tasks, and the segments of Segmented Min-Min are not unique. In this paper, by using hasse diagram, we investigates a new heuristic which not only implements the idea of HLTF and Segment Min-Min but also overcomes the deficiencies of them, the new heuristic and several related ones have been implemented on a simulated He environment which is based on simjava, the experimental results illuminate that our heuristic outperforms the traditional ones.
Autobiographical Memory Retrieval and Hippocampal Activation as a Function of Repetition and the Passage of Time

Multiple trace theory (MTT) predicts that hippocampal memory traces expand and strengthen as a function of repeated memory retrievals. We tested this hypothesis utilizing fMRI, comparing the effect of memory retrieval versus the mere passage of time on hippocampal activation. While undergoing fMRI scanning, participants retrieved remote autobiographical memories that had been previously retrieved either one month earlier, two days earlier, or multiple times during the preceding month. Behavioral analyses revealed that the number and consistency of memory details retrieved increased with multiple retrievals but not with the passage of time. While all three retrieval conditions activated a similar set of brain regions normally associated with autobiographical memory retrieval including medial temporal lobe structures, hippocampal activation did not change as a function of either multiple retrievals or the passage of time. However, activation in other brain regions, including the precuneus, lateral prefrontal cortex, parietal cortex, lateral temporal lobe, and perirhinal cortex increased after multiple retrievals, but was not influenced by the passage of time. These results have important implications for existing theories of long-term memory consolidation.
Novel phase shifted carrier modulation for a cascaded H-bridge multi-level StatCom

Phase shifted carrier modulation enforces harmonic cancellation through each phase-leg in a multi-level H-bridge StatCom (H-StatCom). The implementation of this scheme, while achieving excellent harmonic performance suffers from control interactions between the voltage balancing loops. This paper first analyses these interactions and then develops a phase shifted carrier modulation scheme which avoids the loop interactions by exploiting an extra degree of freedom in the available switching states. Simulation and experimental results are presented that confirm the correct operation of the modulation strategy.
Integrated approach for smart implantable cardioverter defibrillator (ICD) device with real time ECG monitoring: use of flexible sensors for localized arrhythmia sensing and stimulation

Arrhythmias are the most common cause of death associated with sudden death and are common in US and worldwide. Cardiac resynchronization therapy (CRT), evolving from pacemakers and development of implantable cardioverter defibrillator (ICD), has been adopted for therapeutic use and demonstrated benefits in patients over the years due to its design and intricate functionality. Recent research has been focused on significant design improvement and efforts are dedicated toward device size reduction, weight and functionality in commercially available ICD's since its invention in the 1960's. Commercially available CRT-D has shown advancement on both clinical and technical side. However, improved focus is required on the device miniaturization, technologically supported and integrated wireless based system for real time heart monitoring electrocardiogram (ECG). In the present report a concise overview for the state-of-the art technology in ICDs and avenues for future development are presented. A unique perspective is also included for ICD device miniaturization and integration of flexible sensing array. Sensor array integration along with its capabilities for identifying localized arrhythmia detection and targeted stimulation for enhancing ICD device capabilities is reviewed.
Investigating the interrelationships among conceptions of, approaches to, and self-efficacy in learning science

ABSTRACT The purpose of this study was to examine the relations between primary school students’ conceptions of, approaches to, and self-efficacy in learning science in Mainland China. A total of 1049 primary school students from Mainland China participated in this study. Three instruments were adapted to measure students’ conceptions of learning science, approaches to learning science, and self-efficacy. The exploratory factor analysis and confirmatory factor analysis were adopted to validate three instruments. The path analysis was employed to understand the relationships between conceptions of learning science, approaches to learning science, and self-efficacy. The findings indicated that students’ lower level conceptions of learning science positively influenced their surface approaches in learning science. Higher level conceptions of learning science had a positive influence on deep approaches and a negative influence on surface approaches to learning science. Furthermore, self-efficacy was also a hierarchical construct and can be divided into the lower level and higher level. Only students’ deep approaches to learning science had a positive influence on their lower and higher level of self-efficacy in learning science. The results were discussed in the context of the implications for teachers and future studies.
CAMERA SELECTION BASED ON ROBUST INVARIANT FEATURES FOR A TEST BED OF HUMAN-ROBOT COLLABORATION C

 Cameras and artificial vision are essential elements of future manufacturing environments, where humans and robots collaborate. As cameras become abundant, there is a need to select a subset of the cameras to monitor, in order to preserve band width and processing power. In this paper, we propose metrics for automatic camera selection, in support of tracking and identification of objects, which are based on robust invariant features. These metrics are analyzed using real video from simultaneous footage of a human-robot collaboration test bed. Keywords Computer vision, Autonomous systems, Intelligent distributed systems, Human-robot collaboration. Resumo Câmeras e visão artificial são elementos essenciais dos futuros ambientes de manufatura em que humanos e robôs co laboram. Frente a abundância de câmeras, há necessidade de selecionar um subconjunto delas para preservar banda de comunicação e poder de processamento. Neste artigo, propomos métricas para seleção automática de câmeras para rastreio e identificação de objetos utilizando feições invariantes e robustas. Essas métricas são analisadas utilizando video real de filmagens simultâneas de um ambiente de teste de colaboração humano-robô. Palavras-chave Visão computacional, Sistemas autônomos, Sistemas distribuídos inteligentes, Colaboração robô-humano.
Three-Dimensional Microwave Breast Imaging: Dispersive Dielectric Properties Estimation Using Patient-Specific Basis Functions

Breast imaging via microwave tomography involves estimating the distribution of dielectric properties within the patient's breast on a discrete mesh. The number of unknowns in the discrete mesh can be very large for 3-D imaging, and this results in computational challenges. We propose a new approach where the discrete mesh is replaced with a relatively small number of smooth basis functions. The dimension of the tomography problem is reduced by estimating the coefficients of the basis functions instead of the dielectric properties at each element in the discrete mesh. The basis functions are constructed using knowledge of the location of the breast surface. The number of functions used in the basis can be varied to balance resolution and computational complexity. The reduced dimension of the inverse problem enables application of a computationally efficient, multiple-frequency inverse scattering algorithm in 3-D. The efficacy of the proposed approach is verified using two 3-D anatomically realistic numerical breast phantoms. It is shown for the case of single-frequency microwave tomography that the imaging accuracy is comparable to that obtained when the original discrete mesh is used, despite the reduction of the dimension of the inverse problem. Results are also shown for a multiple-frequency algorithm where it is computationally challenging to use the original discrete mesh.
Virtual reality applications in manufacturing system

Virtual reality (VR) is a high-end human computer interface that strives to immerse the designers and users completely in a virtual interactive environment for a simulation of real world. In order to meet the requirements of market competition, VR technologies can not only reduce effectively the time and cost, but also optimize complex products in the design process. Virtual reality is a rapidly developing computer interface that strives to immerse the user completely within an experimental simulation, thereby enhancing the overall impact and providing a much more intuitive link between the computer and the human participants. Virtual reality has been applied successfully to hundreds of scenarios in diverse areas including prototyping, manufacturing, scientific visualisation, engineering, and education. This paper discusses the applications of virtual reality in the manufacturing industry.
A STOCHASTIC PROGRAMMING MODEL FOR AGRICULTURAL PLANNING UNDER UNCERTAIN SUPPLY -DEMAND RELATIONS

under uncertain supply-demand relations and to propose an algorithm for the model. We first illustrate that several economic problems under undertaint~ must be formulated as a quadratic programming model in which the linear coefficients are stochastic variables. The model is considered as an extension of the linear stochastic programming model reported by Freund (1956) and Kataoka (1963, 1967). The following alternative criteria for optimization are introduced to complete the model: (1) maximizing the expected value of utility; (2) maximizing aspiration level; (3) maximizing probability. The deterministic equiva­ lents are then derived with the mathematical characteristics of the solutions. The equivalence relations among the eqUivalents are also clarified. We propose an iteration algorithm for the equivalents by taking advantage of the relations. The algorithm is based on lhe secant method and the convex quadratic programming method. Finally, an application of the model is illustrated with a procedure for application.
Team Formation in Partially Observable Multi-Agent Systems

Sets of multi-agent teams often need to maximize a global utility rating the performance of the entire system where a team cannot fully observe other teams’ agents. Such limited observability hinders team-members trying to pursue their team utilities to take actions that also help maximize the global utility. In this article, we show how team utilities can be used in partially observable systems. Furthermore, we show how team sizes can be manipulated to provide the best compromise between having easy to learn team utilities and having them aligned with the global utility. The results show that optimally sized teams in a partially observable environments outperform one team in a fully observable environment, by up to 30%.
SDSS J140228.22+632133.3: A New Spectroscopically Selected Gravitational Lens

We present Gemini integral-field unit spectroscopy and Hubble Space Telescope (HST) F435W- and F814W-band images of a newly discovered four-image gravitational lens, SDSS J140228.22+632133.3 (hereafter SDSSJ1402). The system is the first of 49 spectroscopically selected gravitational lens candidates to be imaged with the Advanced Camera for Surveys Wide-Field Channel on board HST as part of a Snapshot Survey program designed to expand the sample of known gravitational lenses amenable to detailed photometric, lensing, and dynamical studies. The lens is an r = 17.00 ± 0.05 elliptical galaxy at a redshift of zl = 0.2046 ± 0.0001, with a luminosity-weighted stellar velocity dispersion of 267 ± 17 km s-1 within a 3''-diameter aperture. Multiple emission lines place the faint lensed source galaxy at a redshift of zs = 0.4814 ± 0.0001. The best-fitting singular isothermal ellipsoid lens model has an Einstein radius b = 1. ″35 ± 0. ″025 (or 4.9 ± 0.2 h kpc), corresponding to an enclosed mass of (30.9 ± 1.1) × 1010 h M☉ and a rest-frame B-band mass-to-light ratio of 8.1 ± 0.5 h65 times solar within the same region. By calculating an expected stellar mass-to-light ratio for SDSSJ1402 using a local universe value of 7.3 ± 2.1 h65 and the measured evolution of the fundamental plane, we estimate the fraction of luminous matter within the Einstein radius to be 0.64 ± 0.22: stellar mass is dominant, but some dark matter appears to be required even at this small scale of roughly one-half effective radius.
THE CONTRIBUTION FROM SCATTERED LIGHT TO QUASAR GALAXY HOSTS

We present models representing the scattering of quasar radiation off free electrons and dust grains in geometries that approximate the structure of quasar host galaxies. We show that, for reasonable assumptions, scattering alone can easily produce ratios of nuclear (point source) to extended fluxes comparable to those determined in studies of quasar hosts. This result suggests that scattered quasar light, as well as stellar emission from the host galaxy, contributes significantly to the detected extended flux, leading to uncertainty in the inferred properties of quasar host. A significant contribution from scattered quasar light will lead to overestimates of the luminosity and hence mass of the host galaxy, and may also distort its morphology. Scattering of quasar light within the host galaxy may provide alternative explanations for the apparent peak in host luminosity at z = 2–3; possibly the overall average higher luminosity of radio-loud host galaxies relative to those of radio-quiet quasars (RQQs), and the apparent preference of high-luminosity RQQs for spheroidal rather than disk galaxies.
Aspects of Effective Mesoscale, Short-Range Ensemble Forecasting

Abstract This study developed and evaluated a short-range ensemble forecasting (SREF) system with the goal of producing useful, mesoscale forecast probability (FP). Real-time, 0–48-h SREF predictions were produced and analyzed for 129 cases over the Pacific Northwest. Eight analyses from different operational forecast centers were used as initial conditions for running the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5). Model error is a large source of forecast uncertainty and must be accounted for to maximize SREF utility, particularly for mesoscale, sensible weather phenomena. Although inclusion of model diversity improved FP skill (both reliability and resolution) and increased dispersion toward statistical consistency, dispersion remained inadequate. Conversely, systematic model errors (i.e., biases) must be removed from an SREF since they contribute to forecast error but not to forecast uncertainty. A grid-based, 2-week, runnin.
Frequent napping is associated with excessive daytime sleepiness, depression, pain, and nocturia in older adults: findings from the National Sleep Foundation '2003 Sleep in America' Poll.

OBJECTIVE The objective of this study was to describe the prevalence and correlates of regular napping among older adults. METHODS The National Sleep Foundation's "2003 Sleep in America Poll," a 20-minute telephone interview that focused on the topic of "sleep and aging" (N = 1,506 adults 55-84 years of age). RESULTS Overall, 15% of respondents reported regular napping, ranging in prevalence from 10% among those 55-64 years of age to 25% among those 75-84 years of age. In addition to older age and a strong association with excessive daytime sleepiness, other factors that independently increased prevalence included a diagnosis of depression, bodily pain, and nocturia. CONCLUSIONS Regular napping is common among older adults. Longitudinal studies of napping behavior and health status are needed to establish risk factors other than excessive daytime sleepiness.
Data Mining for Risk Management in Hospital Information Systems

Organizations in our modern society grow larger and more complex to provide advanced services due to the varieties of social demands. Such organizations are highly efficient for routine work processes but known to be not robust to unexpected situations. According to this observation, the importance of the organizational risk management has been noticed in recent years. On the other hand, a large amount of data on the work processes has been automatically stored since information technology was introduced to the organizations. Thus, it has been expected that reuse of collected data should contribute to risk management for large-scale organizations. This paper proposes risk mining, where data mining techniques were applied to detection and analysis of risks potentially existing in the organizations and to usage of risk information for better organizational management. We applied this technique to the following three medical domains: risk aversion of nurse incidents, infection control and hospital management. The results show that data mining methods were effective to detection of risk factors.
Sensorless direct FOC with Takagi-Sugeno Fuzzy controller for three-phase induction motor

This paper proposes a Takagi-Sugeno (T-S) Fuzzy controller to substitute the two PI current regulators present in conventional sensorless direct field oriented control (DFOC) scheme. The proposed controller calculates the reference quadrature components of the stator voltage vector in rotor-flux-oriented reference frame. The rule base for the proposed controller is defined in function of the stator current direct and quadrature component errors. Constant switching frequency and low torque ripple are obtained using space vector modulation technique. Performance of the proposed sensorless DFOC scheme with T-S fuzzy controller is analyzed in terms of rise time, settling time and torque ripple considering different operating conditions. The fast torque response and low torque ripple are obtained with the proposed scheme as is shown through numerical simulation results.
DESIGN OF BROADBAND RADAR ABSORBING MATERIALS USING PARTICLE SWARM OPTIMIZATION

The design of planar multi-layer coatings with high absorption for a desired frequency and angle range is presented. The design technique is based on Particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm based on the bird fly. Several design cases are presented. Numerical results that are compared with the existing in the literature show the advantages of this approach and the applicability of this design method.
A Study of Mobile Cloud Computing:Architecture, Applications, and Challenges

The intersection of mobile applications and computing with the promising concept of cloud computing resulted in the birth of Mobile Cloud Computing (MCC). MCC has emerged as a remarkable milestone for global mobile services. Enriching its efficiency and productivity to many dimensions, MCC serves a unique blend of mobile computing and cloud computing seamlessly integrated and tries to overcome issues related to environment ( e. g. ,
Direct mapped cache performance modeling for sparse matrix operations

Sparse matrices are in the kernel of numerical applications. Their compressed storage, which permits both operations and memory savings, generates irregular access patterns, reducing the performance of the memory hierarchy In this work we present a probabilistic model for the prediction of the number of misses of a direct mapped cache memory, considering sparse matrices with a uniform entries distribution. The number of misses is directly related to the program execution time and the memory hierarchy performance. The model considers the three types of standard interferences: intrinsic, self-cross interferences. We explain in detail the modeling of a representative matrix operation such as the sparse matrix-dense matrix product, considering several loop orderings, and include validation results that show the model accuracy.
A two-microphone noise reduction scheme for hands-free telephony in a car environment

This paper introduces a new noise reduction scheme for hands-free telephony in a car environment. First, a comparative study on the investigated time-domain and frequency-domain noise reduction methods are given. Then, the proposed algorithm utilises the time-domain Double Affine Projection (DAP) algorithm based on a subband structure. The DAP algorithm with high projection-order is suggested for operation in the low-frequency band, whereas a lower projection-order of the DAP algorithm can be applied to the high-frequency band. Simulation results suggest improved performance of the proposed noise reduction scheme in terms of noise attenuation and preservation of speech spectral components of the enhanced speech signals.
Learning Probabilistic Models of Contours

We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of a family of distributions defined over the set of spline functions (with fixed complexity). The proposed model effectively captures the major morphological properties of the observed set of contours as well as its variability, as the simulation results presented demonstrate.
Mjrty|a Fast Majority Vote Algorithm 1

A new algorithm is presented for determining which, if any, of an arbitrary number of candidates has received a majority of the votes cast in an election. The number of comparisons required is at most twice the number of votes. Furthermore, the algorithm uses storage in a way that permits an eecient use of magnetic tape. A Fortran version of the algorithm is exhibited. The Fortran code has been proved correct by a mechanical veriication system for Fortran. The system and the proof are discussed.
Detection of Trichomonas vaginalis in Vaginal Swab Clinical Samples from Palestinian Women by Culture

Background. Trichomoniasis is a common sexually transmitted disease caused by Trichomonas vaginalis. It is a major health problem worldwide. The World Health Organization (WHO) has estimated that 180 million infections are acquired annually worldwide. Methodology. Vaginal swabs (1207) were cultured for T. vaginalis on Trichomonas Medium no. 2 (Oxoid) soon after specimen collection. The cultures were examined daily using a light microscope to detect the presence of T. vaginalis. Results. The prevalence of T. vaginalis was 13.6% (164/1207). The infection rate was the highest during pregnancy, 28.1%, and the lowest among women whose spouses use condoms, 8.6%. Conclusions. The culture method was used in this study to accurately determine the prevalence of this parasite in the West Bank, Palestine. The results of the study will eliminate ambiguities concerning trichomoniasis in this country and will contribute to better management and proper treatment.