Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance analysis of Cross Ambiguity Function — Direction Finding technique in multipath environments

In this paper, recently proposed cross ambiguity function - direction finding (CAF-DF) array signal processing technique, which make use of the cross ambiguity function calculation, is compared with the multiple signal classification (MUSIC) and space alternating generalized expectation maximization (SAGE) techniques. The CAF-DF estimates direction of arrival (DOA), time delay, Doppler shift and amplitude corresponding to each impinging signal onto a sensor array in an iterative manner. Performances of the algorithms are tested on synthetic signals in terms of root mean squared error (rMSE) for different signal-to-noise ratio (SNR) values based on Monte Carlo trials. For statistical comparisons Cramer-Rao lower bound is included. Obtained results show that CAF-DF technique is superior to its alternatives for medium and low SNR values.
Monocyte-derived dendritic cells

The elicitation of efficient antitumor immune responses requires the optimal activation of tumor-associated dendritic cells (DCs). Our comparison of the effect of various immunostimulatory treatments on DCs revealed that the best predictor of the success of immunotherapy is not the activation of existing DC populations, but the appearance of a population of monocyte-derived DC in tumor-draining lymph nodes.
The Role of Instruction and Cognition for College Students' Academic Achievement and Affects.

This study investigated the effects of college students' actual perceptions of success and control as they relate to cognitive and emotional aspects of academic achievement in situations utilizing either high or low instructor expressiveness. Participants included 140 male and female undergraduate introductory psychology students. In a simulated college classroom study, students wrote an aptitude test and were classified into Perceived Success (low, high) and Perceived Control (low, high) categories based on perceptions of success and control over performance. Students were then presented with either low or high expressive instruction, and completed a post-lecture achievement test and questionnaire. Exposed to low expres. :ye instruction, high success/high control students' achievement scores and low success/low control students' affects supported initial hypotheses (that such instruction tends to compensate for students' maladaptive cognitions). However, low success/lbw control students' achievement scores and high success/high control students' affects were opposite to initial expectations. Conclusions generally supported the idea that expressive instruction fostered both student achievement and self-confidence whereas low expressiveness depressed students' performance and their self-regulatory learning processes. (Included are 27 references.) (a) *********************************************************************** neptuaucLions suppiieu Ely LilAS are the uest that can be made from the original document. ***********************************************************************
Integration of a parallel algorithm with a cluster grid for an industrial framework

Computer simulations are becoming a fundamental instrument in order to determine the suffer effects of a specific model by varying its input parameters. However, to obtain simulation results, the needed computational power required, by increasing the model parameters, in a reasonable time, is not so indifferent. So the aim of this research is to optimize computational throughput. At ST Microelectronics, a new integrated computational solution to resolve this problem in an efficient way has been implemented and tested. This solution consist of two blocks: a parallel implementation approach, named Exemplar, and a workload balancing system into a Cluster Grid. The first block was designed on a heterogeneous hardware platform which could have different computational performances. It is based on different optimization methods: CRS (Controlled Random Search) method, and Monte Carlo method. The second block consists of a cluster of CPU servers integrated through a workload balance system and a data resource management system (DRMS).
Topological Fixture Synthesis Using Semide nite Programming

1. Abstract Topological xture synthesis is an important issue to consider for most manufacturing operations performed on solid and sheet metal workpieces. Recent work on optimal xture design has focused on determining the positions of locators and clamps to minimize workpiece deformation. These approaches restrict the locators and clamps to three mutually perpendicular planes selected according to the \3-2-1" or the \N-2-1" locating principle. In this article, mixed-integer quadratic programming is used to identify the optimal distribution and position (i.e., topology) of locators in order to minimize the mean compliance of the workpiece. We present a semide nite programming (SDP) relaxation method to solve the underlying combinatorial problem. Illustrative examples (with symmetric and asymmetric loads) validate the formulation and solution approach.
Analysis of the Impact of Movie Broadcasts on DVD Sales and Internet Piracy

Movie studios have long believed that home video recording damages the market for movies broadcast on free television. This issue has gained renewed importance with the advent of highdefinition television, causing movie studios to argue that consumer recording of digital video will result in increased piracy and reduced DVD demand. In contrast, we find that the dominant impact of movie broadcasts is to stimulate DVD sales by an average of 120% in the week after broadcast. Moreover, this increase in sales appears to derive from the broadcst itself, as opposed to pre-broadcast advertising. However, we also find that movie broadcasts stimulate piracy by between 20-60% in the week after broadcast. Our research highlights both the opportunities and threats facing studios in a digital age.
Edge-preserving reconstruction with contour-line smoothing and non-quadratic data-fidelity

The standard approach for image reconstruction is to stabilize the problem by including an edge-preserving roughness penalty in addition to faithfulness to the data. However, this methodology produces noisy object boundaries and creates a staircase effect. State-of-the-art methods to correct these undesirable effects either have weak convergence guarantees or are limited to specific situations; furthermore, most of them use a quadratic data-fidelity term. In this paper, we propose a simple alternative regularization model to improve contour regularity and to reduce the staircase effect-our model incorporates the smoothness of the edge field in an implicit way by adding a simple penalty term defined in the wavelet domain. We also derive an efficient half-quadratic algorithm to solve the resulting optimization problem, including the case when the data-fidelity term is not quadratic and the cost function is not convex. Our approach either extends or supplements existing methods and offers strong convergence guarantees. Numerical experiments show that it outperforms first-order total variation regularization as well as state-of-the-art second-order regularization techniques.
Unifying Representation of Collision Cross Sections in Gases

Electrical discharges in gases continues to be an active area of research for industrial applications such as power systems, environmental clean up, laser technology, semiconductor fabrication etc. A fundamental knowledge of electron-gas-neutral interaction is indispensable and, of the various types of cross sections, the more important ones are the momentum transfer and ionization cross sections. In this paper the energy dependence of the momentum transfer cross sections are categorized according to the nature of the species of the neutral. The species are (1) rare gas atoms (2) di-atomic molecules with combinations of polar, non-polar, attaching, and non-attaching properties (3) poly-atomic molecules with combinations of polar, non-polar, attaching, and non-attaching properties. New results are provided for momentum transfer for selected gases by analyzing the data of scattering cross sections. Conclusions are drawn high lighting the energy range in which the momentum transfer cross section data are required
Hourly Electricity Price Forecasting for the Next Month Using Multilayer Neural Network

Load and price forecasting are key challenges for current electricity market participants. Load and price in electricity markets have complex peculiarities, such as nonlinearity, being nonstationary and irregular. Accurate short-term forecasting, such as hourly electricity price forecasting (EPF) for the next month gives pivotal information to power producers and consumers to enhance precise techniques to maximize their profit. This paper deals with short-term hourly EPF for the next month (January 2006), using the historical hourly data for the year 2005 as a training set. A new approach of multilayer neural networks is applied in composite topologies in order to improve forecasting accuracy. The intent is to study the behavior of diverse composite topologies to compare the best performance indices evaluated by the mean absolute percentage error and mean square error. The performance of different topologies is compared to identify the best connection architecture. The data used in the forecasting are hourly historical data of the temperature, electricity load, and natural gas price from the Australian electricity markets.
ESTIMATION AND INFERENCE WITH MANY MOMENT INEQUALITIES ( JOB MARKET PAPER )

In this paper, I consider estimation of the identified set and inference on a partially identified parameter when the number of moment inequalities is large relative to sample size. Many applications in the recent literature on set estimation have this feature examples discussed in this paper include set-identified instrumental variables models, inference under conditional moment inequalities, and dynamic games. I analyze weak (set) identification from a large number of moment inequalities and show that GMM-type test statistics will often be poorly centered in this setting. This paper establishes consistency of the set estimator based on a Wald-type criterion, and gives conditions for uniformly valid inference under many weak moment asymptotics for both plug-in and subsampling procedures. I show asymptotic normality of the QLR statistic under many moment asymptotics, and demonstrate that subsampling procedures remain valid only under much slower growth rates for the number of moments than those permissible for plug-in methods. Furthermore, I compare the performance of a test based on an Anderson-Rubin (AR) type statistic which has been widely recommended in the literature, to a modified Lagrange Multiplier (LM) test proposed in this paper. In simulations with weak moment inequalities, inference using the LM statistic appears to have greater power against local alternatives than the AR-type test in most settings. JEL Classification: C12, C13, C14, C15
A multidimensional approach to Wave Digital Filters with multiple nonlinearities

The implementation of nonlinear elements in Wave Digital Filters (WDFs) is usually restricted to just one nonlinear one-port per structure. Existing approaches that aim to circumvent this restriction have in common that they neglect the notion of modularity and thus the reusability of the original Wave Digital concept. In this paper, a new modular approach to implement an arbitrary number of nonlinearities based on Multidimensional Wave Digital Filters (MDWDFs) is presented. For this, the contractivity property of WDFs is shown. On that basis, the new approach is studied with respect to possible side-effects and an appropriate modification is proposed that counteracts these effects and significantly improves the convergence behaviour.
Survey Sequencing and Comparative Analysis of the Elephant Shark (Callorhinchus milii) Genome

Owing to their phylogenetic position, cartilaginous fishes (sharks, rays, skates, and chimaeras) provide a critical reference for our understanding of vertebrate genome evolution. The relatively small genome of the elephant shark, Callorhinchus milii, a chimaera, makes it an attractive model cartilaginous fish genome for whole-genome sequencing and comparative analysis. Here, the authors describe survey sequencing (1.4× coverage) and comparative analysis of the elephant shark genome, one of the first cartilaginous fish genomes to be sequenced to this depth. Repetitive sequences, represented mainly by a novel family of short interspersed element–like and long interspersed element–like sequences, account for about 28% of the elephant shark genome. Fragments of approximately 15,000 elephant shark genes reveal specific examples of genes that have been lost differentially during the evolution of tetrapod and teleost fish lineages. Interestingly, the degree of conserved synteny and conserved sequences between the human and elephant shark genomes are higher than that between human and teleost fish genomes. Elephant shark contains putative four Hox clusters indicating that, unlike teleost fish genomes, the elephant shark genome has not experienced an additional whole-genome duplication. These findings underscore the importance of the elephant shark as a critical reference vertebrate genome for comparative analysis of the human and other vertebrate genomes. This study also demonstrates that a survey-sequencing approach can be applied productively for comparative analysis of distantly related vertebrate genomes.
Space Operations as a Guide for a Real-World Scheduling Competition

The ultimate objective of the scheduling competition is to drive us developing frameworks that tackle real-life problems better. Whatever form we gave to this competition, benchmark problems will be the essential tools for identifying the best algorithms and frameworks. So, the future of the competition will be greatly influenced by the problems we choose. Oversimplified ones will produce a distortion from the competition’s final objective. In this paper, we present three real-life scheduling problems from space mission operations. We extracted their core features to build a rich benchmark scheduling problem to be used in the competition.
Towards a more systematic approach to continuing professional development in vocational education and training

ABSTRACT Vocational education and training (VET) teachers and trainers have a key role in ensuring that workers in business and industry are upskilled and up-to-date in a rapidly changing industrial, economic and technological environment. It follows that the VET practitioners should themselves keep up to date, not only with industry developments but also with the pedagogical skills needed to embrace technology and adapt to new sites for learning. However, in Australia and other Western nations, continuing professional development for VET practitioners has been spasmodic and not always well supported, in contrast to the ways it has been established and accepted in other professions. This paper examines the professional development approaches of some of those other professions and identifies the key features that might be adopted in any genuine attempt to develop a more purposeful and systematic provision of ongoing learning for teachers and trainers in VET. The paper concludes with a number of recommendations aimed at Australian VET practitioners in particular, but which might be applicable to VET in any developed country.
MiXiM – The Physical Layer An Architecture Overview

Simulating the physical layer of wireless communication remains a challenge. Communication standards like OFDM or MIMO systems go beyond the simple single narrow frequency band, single antenna model used in popular simulators. Yet, these technologies gain popularity, since they provide researchers with a plethora of possibilities that can be explored to invent new protocols or improve existing ones. However, building a detailed and sufﬁciently accurate model for such complex systems is a tremendous task that takes a lot of time. In this paper we present the physical layer model of MiXiM, which tackles this task. It provides the researcher with an easy to use interface to the wireless transmission medium. It models the wireless medium in all three dimensions (time, space and frequency) supporting the implementation of future wireless communication standards, but at the same time also supports easy modeling and simulation of traditional single frequency systems.
Circular Polarized Microstrip Patch Antenna Works on Triple-Band

This paper presents a compact triple band slotted patch antenna having a circular polarization by using coaxial feed line technique. This antenna covers ISM band. The present antenna is verified using Numerical Technique called Finite Element Method FEM. The conception of these patch antennas are realized by the software HFSS “Ansoft-High Frequency Structure Simulator”. By properly selecting shapes and dimensions of the embedded slots and changing the shape of the antenna, conductive material, the nature and the thickness of the substratum to have the triple-resonance situations at 2.4/5.1/5.7 GHz are obtained. The present antenna having patch that is square having dimensions 37.5mm × 37.5mm and coaxial feed is placed at diagonal. In addition, acceptable radiation characteristics are obtained over the operating bands. Different antenna parameters like return loss, gain along Θ, O directions, Cartesian plot, radiation pattern in 2-D and 3-D, E and H Field distributions are simulated using HFSS.
Do trainers pay enough attention to posture adjustment when athletes perform strength exercises in a leg press machine?

The aim of this study was to analyse trainersâ€™ appraisal of body posture adjustment -specifically joint alignment and flexion/extension of the legs- in athletes performing a leg press exercise. Ten strength trainers observed 15 video records of 15 athletes with no musculoskeletal problems. Kinematic analysis was based on motion capture data from athletes, combined with data from the semantic differential that trainers used to appraise joint alignment and flexion/extension. Multiple analysis of the two kinds of data showed that trainersâ€™ appraisals did not always coincide with what the kinematic parameters indicated regarding the athletesâ€™ posture adjustment while performing the leg press exercise. Keywords: Leg press; posture adjustment appraisal; flexion parameters; flexion adjustment appraisal.
INVERTEBRATE CONSERVATION FACT SHEET Pollinators in Natural Areas

system service. It is estimated that 60 to 80 percent of the world’s 250,000 flowering plants depend on animals—mostly insects—for pollination (Kremen et al. 2007). Eighty-seven of the world’s 124 most commonly cultivated crops are animal pollinated, and insectpollinated forage plants such as alfalfa and clover provide feed for livestock. Roughly thirtyfive percent of global crop production is dependent on pollination by animals (Klein et al. 2006). Pollinators also sustain wildland plant communities that provide food and shelter for myriad other wildlife. As one of the most widespread and important ecosystem services in terrestrial environments, plant pollination by insects is essential to human health, global food webs, and protection of biodiversity. Anna’s northern blue. Photograph © Kim Davis and Mike Stangeland (www.kimandmikeontheroad.com)
Mast Cells Positive to Tryptase and c-Kit Receptor Expressing Cells Correlates with Angiogenesis in Gastric Cancer Patients Surgically Treated

Background. Angiogenesis is a complex process involved in both growth and progression of several human and animal tumours. Tryptase is a serin protease stored in mast cells granules, which plays a role in tumour angiogenesis. Mast cells (MCs) can release tryptase following c-Kit receptor (c-KitR) activation. Method. In a series of 25 gastric cancer patients with stage T3N2-3M0 (by AJCC for Gastric Cancer 7th Edition), immunohistochemistry and image analysis methods were employed to evaluate in the tumour tissue the correlation between the number of mast cells positive to tryptase (MCPT), c-KitR expressing cells (c-KitR-EC), and microvascular density (MVD). Results. Data demonstrated a positive correlation between MCPT, c-KitR-EC, and MVD to each other. In tumour tissue the mean number of MCPT was 15, the mean number of c-KitR-EC was 20, and the mean number of MVD was 20. The Pearson test correlating MCPT and MVD, c-KitR-EC and MVD was significantly (r = 0.64, P = 0.001; r = 0.66, P = 0.041, resp.). Conclusion. In this pilot study, we suggest that MCPT and c-KitR-EC play a role in gastric cancer angiogenesis, so we think that several c-KitR or tryptase inhibitors such as gabexate mesilate and nafamostat mesilate might be evaluated in clinical trials as a new antiangiogenetic approach.
Embedded zerotree wavelet based data compression for smart grid

In this paper, an embedded zerotree wavelet transform (EZWT) based technique is employed for the data compression in the smart grid (SG). The EZWT is a simple but effective data compression algorithm. It yields fully embedded code by generating the bits in order of importance. This technique does not need any training, pre-stored tables or codebooks, and prior knowledge of the data source. In this paper, the analysis and subsequent compression properties of the EZWT transform are examined for power system signals in SG. The proposed approach is evaluated using a set of simulated phasor measurement unit (PMU) data. Comparative compression results are presented with the wavelet transform (WT).
Structure and Evolution of Giant Cells in Global Models of Solar Convection

The global scales of solar convection are studied through three-dimensional simulations of compressible convection carried out in spherical shells of rotating fluid that extend from the base of the convection zone to within 15 Mm of the photosphere. Such modeling at the highest spatial resolution to date allows study of distinctly turbulent convection, revealing that coherent downflow structures associated with giant cells continue to play a significant role in maintaining the differential rotation that is achieved. These giant cells at lower latitudes exhibit prograde propagation relative to the mean zonal flow, or differential rotation, that they establish, and retrograde propagation of more isotropic structures with vortical character at mid and high latitudes. The interstices of the downflow networks often possess strong and compact cyclonic flows. The evolving giant-cell downflow systems can be partly masked by the intense smaller scales of convection driven closer to the surface, yet they are likely to be detectable with the helioseismic probing that is now becoming available. Indeed, the meandering streams and varying cellular subsurface flows revealed by helioseismology must be sampling contributions from the giant cells, yet it is difficult to separate out these signals from those attributed to the faster horizontal flows of supergranulation. To aid in such detection, we use our simulations to describe how the properties of giant cells may be expected to vary with depth and how their patterns evolve in time.