Miracle-dz/UniFAR-FTUs huggingface dataset:
A similarity measure for retrieving software artifacts

presents the mechanism for query processing and retrieval with the measures used for the similarity analysis of the indexing structures. Section 6 describes an experiment conducted to evaluate the effectiveness of the proposed approach. Section 7 summarizes related work in the area of re-use systems. Section 8 concludes the paper with some remarks on planned experiments with the system and further research. Figure 1 shows an overview of the current version of the re-use system. The system consists of a classification mechanism and a retrieval mechanism. The classification system catalogues the software components in a software base through their descriptions in natural language. An acquisition mechanism automatically extracts from software descriptions the knowledge needed to catalogue them in the software base. The system extracts lexical, syntactic and semantic information and this knowledge is used to create a frame-like internal representation for the software component. The interpretation mechanism used for the analysis of a description does not pretend to understand the meaning of a description but to automatically acquire enough information to construct useful indexing units for software components. Semantic analysis of descriptions follows the rules of a semantic formalism. The formalism consists of a case system , constraints and heuristics to perform the translation of the description into an internal representation. Both syntactic and semantic rules are implemented in a grammar to parse descriptions into a set of frames. The semantic formalism is based on some semantic relationships between noun phrases and the verb in a sentence. These semantic relationships provide that similar software descriptions have similar internal representations. A classification scheme for software components derives from the semantic formalism, through a set of generic frames. The internal representation of a description constitutes the indexing unit for the software component, constructed as an instance of these generic frames. The WordNet [8] lexicon is used to obtain morphological information, grammatical categories of terms and lexical relationships between terms. Abstract This paper introduces the main features and the retrieval mechanism of ROSA, a software reuse system based on the processing of the natural language descriptions of software artifacts. The system supports the automatic indexing of components by acquiring lexical, syntactic and semantic knowledge from software descriptions. The retrieval mechanism is based on a similarity analysis that provides good retrieval effectiveness through partial matching of descriptions , processing of synonyms, generalizations and special-izations of terms and considering the syntactic and semantic information available …
Impact of trust and perceived content of advertisement on intention to accept mobile advertisement

A very new issue in current age of marketing is mobile advertisement to which there is a little recognition on its effectiveness. Ignoring users' interests and needs as well as sending huge volume of mobile advertisements leads into wasting advertisement investment. Firms should utilize different strategies to design and send mobile advertisement. The developed model for this study considers affecting factors on intention to accept mobile advertisements by consumers. To test the research model, the data from a sample of 436 mobile users was gathered by judgment sampling method via questionnaire. Data analysis was conducted by structural equation modeling (SEM) in AMOS software. Results indicate that user's trust, entertainment, informativeness and ground determine 54% of changes in attitude toward accepting mobile advertisement. Additionally, trust in the third party has remarkable indirect impact on intention to accept this kind of advertisements.
Multiresidue Method for Analysis of β Agonists in Swine Urine by Enzyme Linked Receptor Assay Based on β2 Adrenergic Receptor Expressed in HEK293 Cells

A novel enzyme-linked receptor assay (ELRA) based on β2-adrenergic receptor (β2-AR) has been developed for rapid and high-throughput detection of β-adrenergic agonists (β-agonists) in urine. Human embryonic kidney cells (HEK293) were introduced as the expression system to enhance the functionality of the recombinant β2-AR, and the attempt to detect β-agonists in swine urine using such approaches was accomplished unprecedentedly. In this article, a recombinant porcine β2-AR was produced in the inner membrane of HEK293 cells and purified from crude membrane protein by nickel-nitrilotriacetic acid affinity chromatography. After activity identification, the recombinant receptor was used in the development of direct competitive ELRA. Several parameters such as blocking buffer and blocking process were optimized and the performance of the system was determined. The IC50 concentrations of clenbuterol, salbutamol, and ractopamine were 34, 53 and 63 μg/L, and the average recovery rates were 68.2%, 60.3% and 65.5%, respectively. ELRA based on β2-AR shows a series of advantages such as safety, easy operation, and high efficiency, making it promising for the rapid screening of β-agonists in animal urine.
Stochastic flows associated to coalescent processes. III. Limit theorems

We prove several limit theorems that relate coalescent processes to continuous-state branching processes. Some of these theorems are stated in terms of the so-called generalized Fleming-Viot processes, which describe the evolution of a population with fixed size, and are duals to the coalescents with multiple collisions studied by Pitman and others. We first discuss asymptotics when the initial size of the population tends to infinity. In that setting, under appropriate hypotheses, we show that a rescaled version of the generalized Fleming-Viot process converges weakly to a continuous-state branching process. As a corollary, we get a hydrodynamic limit for certain sequences of coalescents with multiple collisions: Under an appropriate scaling, the empirical measure associated with sizes of the blocks converges to a (deterministic) limit which solves a generalized form of Smoluchowski's coagulation equation. We also study the behavior in small time of a fixed coalescent with multiple collisions, under a regular variation assumption on the tail of the measure $\nu$ governing the coalescence events. Precisely, we prove that the number of blocks with size less than $\varepsilon x$ at time $(\varepsilon\nu([\varepsilon,1]))^{-1}$ behaves like $\varepsilon^{-1}\lambda_1(]0,x[)$ as $\varepsilon\to 0$, where $\lambda_1$ is the distribution of the size of one cluster at time $1$ in a continuous-state branching process with stable branching mechanism. This generalizes a classical result for the Kingman coalescent.
A knowledge-based objects tracking algorithm in color video using Kalman filter approach

A new knowledge-based algorithm for the purpose of rigid and non-rigid objects tracking through color feature in video sequences is proposed in this research. The mean shift (MS) algorithm, as the efficient method in the area of color-based objects tracking, is improved to solve the tracking problems, such as background with similar colors, partial or full occlusion, sensibly, and so on. In the algorithm presented here, an improved convex kernel function is realized to present a particular solution, since a robust estimator, i.e., Kalman filter approach is correspondingly realized. Experimental results verify that the proposed algorithm is efficient, under sever conditions, while the speed of the object could be constant.
Guided optimization of fluid status in haemodialysis patients

Background. Achieving normohydration remains a non-trivial issue in haemodialysis therapy. Guiding the haemodialysis patient on the path between fluid overload and dehydration should be the clinical target, although it can be difficult to achieve this target in practice. Objective and clinically applicable methods for the determination of the normohydration status on an individual basis are needed to help in the identification of an appropriate target weight. Methods. The aim of this prospective trial was to guide the patient population of a complete dialysis centre towards normohydration over the course of approximately 1 year. Fluid status was assessed frequently (at least monthly) in haemodialysis patients (n = 52) with the body composition monitor (BCM), which is based on whole body bioimpedance spectroscopy. The BCM provides the clinician with an objective target for normohydration. The patient population was divided into three groups: the hyperhydrated group (relative fluid overload >15% of extracellular water (ECW); n = 13; Group A), the adverse event group (patients with more than two adverse events in the last 4 weeks; n = 12; Group B) and the remaining patients (n = 27; Group C). Results. In the hyperhydrated group (Group A), fluid overload was reduced by 2.0 L (P < 0.001) without increasing the occurrence of intradialytic adverse events. This resulted in a reduction in systolic blood pressure of 25 mmHg (P = 0.012). Additionally, a 35% reduction in antihypertensive medication (P = 0.031) was achieved. In the adverse event group (Group B), the fluid status was increased by 1.3 L (P = 0.004) resulting in a 73% reduction in intradialytic adverse events (P < 0.001) without significantly increasing the blood pressure. Conclusion. The BCM provides an objective assessment of normohydration that is clinically applicable. Guiding the patients towards this target of normohydration leads to better control of hypertension in hyperhydrated patients, less intradialytic adverse events and improved cardiac function.
Prevalence of antimicrobial resistance and integrons in Escherichia coli from Punjab, Pakistan

Antimicrobial resistance was studied in Escherichia coli strains isolated from urine samples of 457 patients suffering from urinary tract infection. High prevalence of class 1 integrons (43.56%), sulfamethoxazole resistance genes sul1 (45.54%) and sul2 (51.48%) along with occurrence of quinolone resistance genes was detected in multi drug resistance isolates.
AUDIOVISUAL VOCAL OUTBURST RECOGNITION IN NOISY ACOUSTIC CONDITIONS

In this study, we investigate an audiovisual approach for classification of vocal outbursts (non-linguistic vocalisations) in noisy conditions using Long Short-Term Memory (LSTM) Recurrent Neural Networks and Support Vector Machines. Fusion of geometric shape features and acoustic low-level descriptors is performed on the feature level. Three different types of acoustic noise are considered: babble, office and street noise. Experiments are conducted on every noise type to asses the benefit of the fusion in each case. As database for evaluations serves the INTERSPEECH 2010 Paralinguistic Challenge’s Audiovisual Interest Corpus of human-to-human natural conversation. The results show that even when training is performed on noise corrupted audio which matches the test conditions the addition of visual features is still beneficial.
Reliability and Secrecy Functions of the Wiretap Channel Under Cost Constraint

The wiretap channel has been devised and studied first by Wyner, and subsequently extended to the case with nondegraded general wiretap channels by Csiszár and Körner. Focusing mainly on the stationary memoryless channel with cost constraint, we newly introduce the notion of reliability and secrecy functions as a fundamental tool to analyze and/or design the performance of an efficient wiretap channel system, including binary symmetric wiretap channels, Poisson wiretap channels, and Gaussian wiretap channels. Compact formulas for those functions are explicitly given for stationary memoryless wiretap channels. It is also demonstrated that, based on such a pair of reliability and secrecy functions, we can control the tradeoff between reliability and secrecy (usually conflicting), both with exponentially decreasing rates as block length \(n\) becomes large. Four ways to do so are given on the basis of rate shifting, rate exchange, concatenation, and change of cost constraint. In addition, the notion of the \(\delta \) secrecy capacity is defined and shown to attain the strongest secrecy standard among others. The maximized versus averaged secrecy measures is also discussed.
Taking the Initiative: Implementing the American Heart Association Guide for Improving Cardiovascular Health at the Community Level Healthy People 2010 Heart Disease and Stroke Partnership Community Guideline Implementation and Best Practices Workgroup

In 1990, heart disease and stroke emerged as the US health objectives, as presented in Healthy leading causes of death worldwide and remain the first and third leading causes of death in the United States, respectively [1,2]. Cardiovascular disease (CVD) in the United States is responsible for 40% of all deaths, more than the next five leading causes of death combined. CVD death rates have declined significantly over the past several decades as a result of decreased incidence of myocardial infarction and increased survival [3,4]. Coronary heart disease is also a leading cause of premature and permanent disability in the US labor force [2]. In addition, the economic consequences are grave. In 2004, total CVD costs in the United States were estimated to be $368.4 billion [2]; these costs are expected to increase 40–50% by the year 2010 [5]. Blacks, the poor, and residents of particular regions in the United States are examples of groups that shoulder a disproportionate burden of CVD [6].
Galactic Globular Clusters with Luminous X-Ray Binaries

Luminous X-ray binaries (LMXBs; >1034 ergs s-1) have a neutron star or black hole primary, and in globular clusters, most of these close binaries are expected to have evolved from wider binaries through dynamical interactions with other stars. We attempt to find a predictor of this formation rate that is representative of the initial properties of globular clusters rather than of the highly evolved core quantities. Models indicate the half-light quantities best reflect the initial conditions, so we examine whether the associated dynamical interaction rate, proportional to L1.5/r, is useful for understanding the presence of luminous LMXBs in the Galactic globular cluster system. We find that while LMXB clusters with large values of L1.5/r preferentially host LMXBs, the systems must also have half-mass relaxation times below th,relax ~ 109 yr. This relaxation time effect probably occurs because several relaxation times are required to modify binary separations, a timescale that must be shorter than cluster ages. The likelihood of finding an LMXB cluster is enhanced if the cluster is metal-rich and if it is close to the bulge region. The dependence on metallicity is most likely either due to differing initial mass functions at the high-mass end or because bulge systems evolve more rapidly from tidal interactions with the bulge. This approach can be used to investigate globular cluster systems in external galaxies, where core properties are unresolved.
GPU Pathfinding Optimization

In recent years, GPUs (Graphics Processing Units) have shown a significant advance of computational resources available for the use of non-graphical applications. The ability to solve problems involving parallel computing as well as the development of new architectures that supports this new paradigm, such as CUDA (Compute Unified Device Architecture), have encouraged the use of GPU for general purpose applications, especially in games. Some parallel tasks which were CPU (Central Processing Unit) based are being ported over to the GPU due to theirs superior performance. One of these tasks is the path finding of an agent over a game map, which has already achieved a better performance on GPU, but is still limited. This paper describes some optimizations to a GPU path finding implementation, addressing larger work set (agents and nodes) with good performance.
Software Product Line Variability: A Systematic Mapping Study

Software product line engineering (SPLE) enables software mass customization and allows development costs to be cut, lead delivery times to be reduced and throughput to be optimized. The concept of variability is central in SPLE methodologies and for success when adopting a software product line approach. Even though much research has been done on this topic there is no clear view of the current state of knowledge. In this study, we used a systematic method to develop a software product line variability map and classiﬁed relevant literature. The resulting map gives an overview of the existing work on software product line variability and makes it possible to identify gaps and plan and position future research.
Un co rr ec te d Pr oo f Chapter 16 Genes , Sleep and Dreams

Dream interpretation, religion and medicine were once closely linked. Dream soothsayers prospered during all of the antiquity (Jung et al., 1969; Miller, 1997). In ancient Greece, a ritual known as “Dream Incubation” took place in sanctuaries named asklepieia in honor to Asclepius, the god of medicine. Greeks would travel long distances to visit these healing temples in search for cures for their ailments. Each asklepieion contained a sacred large hall, the enkoimeterion, where Dream Incubation took place. The patient would sleep overnight and the next day a priest would listen to a description of the patient’s dream to diagnose the illness and determine the right treatment (Meier, 2003). Sometimes, Asclepius himself would appear in dreams to prescribe the treatment (Horstmanshoff, 2004). Similar rituals also existed in Ancient Egypt in the temples of the God Serapis and were preserved throughout the Middle Ages in some Byzantine Christian sects (Meier, 2003). Indeed, dreams play a major role in the Christian tradition, as remarkable instruments by which God reveals His wishes to the chosen people. The newborn Jesus was protected a number of times due to advice received in dreams by his father Joseph. The first such episode occurred before Jesus’ birth, when Joseph intended to leave [Au1]
State Space Model based Trust Evaluation over Wireless Sensor Networks: An Iterative Particle Filter Approach

In this paper we propose a state space modeling approach for trust evaluation in wireless sensor networks. In our state space trust model (SSTM), each sensor node is associated with a trust metric, which measures to what extent the data transmitted from this node would better be trusted by the server node. Given the SSTM, we translate the trust evaluation problem to be a nonlinear state filtering problem. To estimate the state based on the SSTM, a component-wise iterative state inference procedure is proposed to work in tandem with the particle filter, and thus the resulting algorithm is termed as iterative particle filter (IPF). The computational complexity of the IPF algorithm is theoretically linearly related with the dimension of the state. This property is desirable especially for high dimensional trust evaluation and state filtering problems. The performance of the proposed algorithm is evaluated by both simulations and real data analysis.
Building a Data Warehouse step by step

Data warehouses have been developed to answer the increasing demands of quality information required by the top managers and economic analysts of organizations. Their importance in now a day business area is unanimous recognized, being the foundation for developing business intelligence systems. Data warehouses offer support for decision-making process, allowing complex analyses which cannot be properly achieved from operational systems. This paper presents the ways in which a data warehouse may be developed and the stages of building it.
MuralCut: Automatic character segmentation from mural images

Segmenting characters from mural images is a crucial basic operation for other tasks whose common goal is to preserve the mural art, one of the important Thai cultural heritage. The problem is effective segmentation algorithms, which are used at present, are semi-automatic and general purpose; so users have to put heavy effort to get the satisfied result. Hence this paper proposes the automatic segmentation algorithm to segment characters from mural images automatically. The algorithm is divided into two main parts: automatic selection part and segmentation part. In automatic selection, we applied spectral residual to play a key role in selecting regions of interest, i.e., an object region and a background region to be inputs of the segmentation part. In segmentation part, an iterated graph-cut is used as the main mechanism of the segmentation in this work. Besides, In order to improve performance of the iterated graph-cuts, a superpixels algorithm is applied. Result of the algorithm from ordinary background images is 7.49% misclassified pixels with precision 73.02% and recall 94.64%.
An improved X-filling strategy based on the Multilayer Data Copy scheme for test data and power reduction for SoC

Multilayer Data Copy (MDC) [1] is an effective test data compression scheme for achieving low shift-in power for the multiple scan chain of SoC. This work improves the scheme by employing a B-filling strategy to fill X (don't care) bits to further reduce the test data volume and the test power. Experimental results show that it can achieve more 3% of the test data volume reduction and more than two times of power savings on benchmark circuits.
2D micro teleoperation with force feedback

This paper presents a 2D teleoperation task at microscales with force feedback. At this scale, two major problems arise while performing manipulation tasks: the lack of 3D real time visual feedback, and the difficulty to determine the interaction forces. Therefore, indications must be provided to help the user perform a given task. In this paper, we provide the user with intuitive force feedback, to improve objects' manipulation using a haptic device. Our platform is composed of a tipless beam manipulator, which is deformed when forces are applied to it. These deformations are measured using a laser. The force information we provide to the user is based on the raw beam's deformation measurement, and mechanical properties of the probe. It does provide the operator with indications about the interaction forces. This approach is validated by performing lateral and longitudinal rolling operations using microspheres with a radius of 25-micrometers. 2D rolling telemanipulation at microscale with force feedback is successfully demonstrated.
Nonlinearities in Intergenerational Earnings Mobility: Consequences for Cross-Country Comparisons

We show that the patterns of intergenerational earnings mobility in Denmark, Finland and Norway, unlike those for the US and the UK, are highly nonlinear. The Nordic relationship between log earnings of sons and fathers is flat in the lower segments of the fathers' earnings distribution - sons growing up in the poorest households have the same adult earnings prospects as sons in moderately poor households - and is increasingly positive in middle and upper segments. This convex pattern contrasts sharply with our findings for the US and the UK, where the relationship is much closer to being linear. As a result, cross-country comparisons of intergenerational earnings elasticities may be misleading with respect to transmission mechanisms in the central parts of the earnings distribution and uninformative in the tails of the distribution.