Miracle-dz/UniFAR-FTUs huggingface dataset:
Response Time Based Optimal Web Service Selection

Selecting an optimal web service among a list of functionally equivalent web services still remains a challenging issue. For Internet services, the presence of low-performance servers, high latency or overall poor service quality can translate into lost sales, user frustration, and customers lost. In this paper, we propose a novel method for QoS metrification based on Hidden Markov Models (HMM), which further suggests an optimal path for the execution of user requests. The technique we show can be used to measure and predict the behavior of Web Services in terms of response time, and can thus be used to rank services quantitatively rather than just qualitatively. We demonstrate the feasibility and usefulness of our methodology by drawing experiments on real world data. The results have shown how our proposed method can help the user to automatically select the most reliable Web Service taking into account several metrics, among them, system predictability and response time variability. Later ROC curve shows a 12 percent improvement in prediction accuracy using HMM.
An Improved Nuclear Vector Replacement Algorithm for Nuclear Magnetic Resonance Assignment

We report an improvement to the Nuclear Vector Replacement (NVR) algorithm [24] for high-throughput Nuclear Magnetic Resonance (NMR) resonance assignment. The new algorithm improves upon our earlier result in terms of accuracy and computational complexity. In particular, the new NVR algorithm assigns backbone resonances without error (100% accuracy) on the same test suite examined in [24], and runs in O(n 5/2 log(cn)) time where n is the number of amino acids in the primary sequence of the protein, and c is the maximum edge weight in an integer-weighted bipartite graph. Dartmouth Computer Science Technical Report TR2004-494. http://www.cs. dartmouth.edu/reports/abstracts/TR2004-494/ Abbreviations used: NMR, nuclear magnetic resonance; NVR, nuclear vector replacement; RDC, residual dipolar coupling; 3D, three-dimensional; HSQC, heteronuclear single-quantum coherence; H N , amide proton; NOE, nuclear Overhauser effect; NOESY nuclear Overhauser effect spectroscopy;dNN, nuclear Overhauser effect between two amide protons; MR, molecular replacement; SAR, structure activity relation; DOF, degrees of freedom; nt. , nucleotides; SPG, Streptococcal protein G; SO(3), special orthogonal (rotation) group in 3D; EM, Expectation/Maximization; SVD, singular value decomposition.
Numerical and Experimental Study of Effects of Upstream Disturbance on Accuracy of Vortex-Shedding Flow

In the present investigation, the problem of accurate determination of volumetric flows by means of the so-called vortex-shedding flow meter in the case of upstream disturbances caused by several versions of bends has been studied. To this end, the flow about the bluff body used in the presently studied vortex-shedding flow meter was investigated experimentally and numerically for the case of incompressible fluid flow (water). The disturbances considered presently were generated by a single 90-degree bend, in-plane double bend and a three-dimensional 90degree out-of-plane double bend. Additionally, the distance of the bluff body from the disturbance source was varied. The computations were carried out for a limited number of cases using the three-dimensional unsteady incompressible solver of the Navier-Stokes equations as included in the Fluent commercial program. The effects of turbulence were modelled by using the realizable k-ε turbulence model. The resulting flow fields were analyzed using various methods, including visualization, evaluation of several of their global features and DFT of properly chosen variables. The numerical results were validated by comparisons of the simulated k-factor with the measured one. The effect of the disturbances was assessed by comparison with the undisturbed reference case. Depending on the configuration investigated and the distance of the meter from the bend outflow location, the change of the k-factor from the undisturbed reference case was noticeable. The difference of the simulated and measured deviations was in some cases less than 0.2 %.
Modeling deep bidirectional relationships for image classification and generation

This paper presents a novel probabilistic model that represents a joint probability of two visible variables with a deep architecture, called a deep relational model (DRM). The model stacks several layers from one visible layer on to another visible layer, sandwiching hidden layers between them. As with restricted Boltzmann machines (RBMs) and deep Boltzmann machines (DBMs), all connections (weights) between two adjacent layers are undirected. During the maximum-likelihood (ML)-based training, the network attempts to capture latent complex relationships between two visible variables (e.g., an image showing a certain number and its corresponding label) thanks to its deep architecture. Unlike deep neural networks, 1) the proposed DRM is a totally generative model, and 2) the weights can be optimized in a probabilistic manner. This paper presents and discusses the experiments conduced to evaluate our DRM's performance in recognition and generation tasks.
Understanding idle behavior and power gating mechanisms in the context of modern benchmarks on CPU-GPU Integrated systems

Overall energy consumption In modern computing systems Is significantly Impacted by Idle power. Power gating, also known as C6, Is an effective mechanism to reduce Idle power. However, C6 entry Incurs non-trivial overheads and can cause negative savings If the Idle duration Is short. As CPUs become tightly Integrated with GPUs and other accelerators, the Incidence of short duration Idle events are becoming Increasingly common. Even when Idle durations are long, It may still not be beneficial to power gate because of the overheads of cache flushing, especially with FinFET transistors. This paper presents a comprehensive analysis of idleness behavior of modern CPU workloads, consisting of both consumer and CPU-GPU benchmarks. It proposes techniques to accurately predict idle durations and develops power gating mechanisms that account for dynamic variations in the break-even point caused by varying cache dirtiness. Accounting for variations in the break-even point is even more important for FinFET transistors. In systems with FinFET transistors, the proposed mechanisms provide average energy reduction exceeding 8% and up to 36% over three currently employed schemes.
A hybrid fuzzy logic and PID controller for control of nonlinear HVAC systems

Heating, Ventilating and Air Conditioning (HVAC) plant is a multivariable, nonlinear and non minimum phase system, which control of this plant, is very difficult. This paper presents a new approach to control of HVAC system. The proposed method is a hybrid of fuzzy logic and PID controller. Simulation results show that this control strategy is very robust, flexible and alternative performance. To evaluate the usefulness of the proposed method, we compare the response of this method with PID controller. The simulation results show that our method has the better control performance than PID controller.
Broadening Neoclassical Human Capital Theory for the Attainment of Integral Human Development

Broadening neoclassical human capital theory involves reviewing and discussing its assumptions, methods, and aims. As integral human development is driven by human capital, social capital (SC), personalist capital (PerC), and material wellbeing, the neoclassical analysis of the connection between human capital and material well-being needs to be extended to the connection between human capital and social capital as well as to the connection between human capital and personalist capital. This enlargement cannot be carried out through mathematical instruments because SC and PerC are qualitative elements. Personalist economics replaces the anthropological paradigm of the homo economicus with that of the acting person and argues for the valorization of human capital within a free-market economy regulated by moral principles. The result is a new personalist theory that although less elegant and formally sophisticated than the neoclassical theory is nevertheless better able to identify the multidimensional aspects characterizing the attainment of integral human development. Luca Sandona, "Broadening Neoclassical Human Capital Theory for the Attainment of Integral Human Development", Journal of Markets and Morality 16, no. 1 (Spring 2013): 25-36
A Language of Flexible Objects

In this paper, we introduce a new language called FLEXIBO. FLEXIBO is an executable object-oriented specification language designed for open-source software development with different levels of trust in a decentralized programming environment. FLEXIBO provides a number of new programming mechanisms for both systematic static analysis and dynamic control of correctness, ownership and resources. All language ingredients are values. Many programming constructs have their corresponding mirror classes, each of which can be extended to programmer-defined sub-mirrorclasses. Various language operators such as method invocation are overridable. Unlike other OO languages that follow specific binding rules, FLEXIBO allows programmers to choose the binding mechanism of a variable by explicitly denoting its binding direction. Variables are untyped in FLEXIBO. Types are introduced as constraints and checked in runtime. However, if FLEXIBO is used for language translation, the checkings are actually done in the compilation phase of the whole process. Programmers are allowed to define their own types. Each type system then corresponds to a particular FLEXIBO program. That means FLEXIBO programs are able to compile themselves: a source FLEXIBO program can be evaluated for type checking and translated to another programming language, if the type checking succeeds. Unlike other languages providing one particular set of language mechanisms, FLEXIBO is designed to represent various language mechanisms systematically and flexibly.
Why Do Politicians Delegate?

Opportunistic politicians maximize the probability of reelection and rents from office holding. Can it be optimal from their point of view to delegate policy choices to independent bureaucracies? The answer is yes: politicians will delegate some policy tasks, though in general not those that would be socially optimal to delegate. In particular, politicians tend not to delegate coalition forming redistributive policies and policies that create large rents or effective campaign contributions. Instead they prefer to delegate risky policies to shift risk (and blame) on bureaucracies.
Come, See and Experience Affective Interactive Art

The progress in the field of affective computing enables the realization of affective consumer products, affective games, and affective art. This paper describes the affective interactive art system Mood Swings, which interprets and visualizes affect expressed by a person. Mood Swings is founded on the integration of a framework for affective movements and a color model. This enables Mood Swings to recognize affective movement characteristics as expressed by a person and display a color that matches the expressed emotion. With that, a unique interactive system is introduced, which can be considered as art, a game, or a combination of both.
Vanishing moments for scaling vectors

One advantage of scaling vectors over a single scaling function is the compatibility of symmetry and orthogonality. This paper investigates the relationship between symmetry, vanishing moments, orthogonality, and support length for a scaling vector Φ. Some general results on scaling vectors and vanishing moments are developed, as well as some necessary conditions for the symbol entries of a scaling vector with both symmetry and orthogonality. If orthogonal scaling vector Φ has some kind of symmetry and a given number of vanishing moments, we can characterize the type of symmetry for Φ, give some information about the form of the symbol P( z), and place some bounds on the support of each φi. We then construct an L 2 (R) orthogonal, symmetric scaling vector with one vanishing moment having minimal support.
The Lactococcus lactis t r iose p hosp hate isomerase gene , tpi , is rnonocistronic

Triosephosphate isomerase (EC 5.3.1.1) from Lactococcus lactis was purified to electrophoretic homogeneity. Approximately 3 mg purified enzyme (specific activity 3300 U mg-l) was obtained from 70 g (wet wt) cells. In solution, triosephosphate isomerase (pl4*044) was observed to exist as a homodimer (M, 57000) of noncovalently linked subunits. The sequence of the first 37 amino acid residues from the NH,-terminus were determined by step-wise Edman degradation. This sequence, and that of a region conserved in all known bacterial triosephosphate isomerases, was used to design oligonucleotide primers for the synthesis of a lactococcal tpi probe by PCR. The probe was used to isolate a molecular clone of tpi from a RGEMII library of L. lactis LM0230 DNA. The nucleotide sequence of tpi predicted a protein of 252 amino acids with the same NH,-terminal sequence as that determined for the purified enzyme and a subunit M, of 26802 after removal of the NH,-terminal methionine. Escherichia coli cells harbouring a plasmid containing tpi had 15fold higher triosephosphate isomerase activity than isogenic plasmid-free cells, confirming the identity of the cloned gene. Northern analysis of L. lactis LM0230 RNA showed that a 900 base transcript hybridized with tpi. The 5‘ end of the transcript was determined by primer extension analysis to be a G located 64 bp upstream from the tpi start codon. These transcript analyses indicated that in L. lactis, tpi is expressed on a monocistronic transcript. Nucleotide sequencing indicated that the DNA adjacent to tpi did not encode another Embden-Meyerhoff-Parnas pathway enzyme. The location of tpi on the L. lactis DLll chromosome map was determined to be between map coordinates 1-818 and 1.978.
Evaluation on Woodland Intensive Use - A Case of Wenhe Operating Zone in Yakeshi City of China

Based on apprehending the conception of intensive use of woodland, 12 indices are selected from the aspects of economy, society, ecology and so on according to the principles of scientific systematization, collectible index and system inner linkage. A scientific evaluation index system for woodland intensive use is constructed. Range Standardization Method is adopted in order to eliminate the differences among indices; index weight is calculated by the objective variation coefficient weight method. Physio geographic condition, woodland area and forest resource of Wenhe Operating Zone in Yakeshi City, China are introduced. According to the 2004-2008 relevant statistical data, intensive use level of Wenhe Operating Zone is evaluated. Result shows that the intensive use level of this zone shows a general upward trend with relatively fast increase in a particular year, and slight increase in woodland input every year. From the year 2004 to 2005, intensive level of woodland decreases slightly. From 2005 to 2006, intensive level of woodland rises with slight increase in woodland output. From 2006 to 2007, intensive level of woodland rises rapidly with a substantial upward trend in output. From 2007 to 2008, intensive level of woodland declines sharply. Based on this, related countermeasures are put forward for the intensive use of woodland in Wenhe Operating Zone. Firstly, strengthen the input in production factors of forestry, especially the mechanical input, in order to avoid unnecessary waste. Secondly, scientifically evaluate the development potential, breeding mode and planting program of woodland. Conduct a unified plan for market, and develop wildlife breeding properly. Thirdly, scientifically plan the plantation and guarantee the survival rate; increase the post investment in plantation; scientifically plan the logging quota, and ensure a reasonable output and intensive use of wood.
Why query annotations may help in providing accurate public health information

The mobility era has highlighted the importance of information providers to better understand the needs of the information seekers, even when the user interaction becomes less verbose. This is even more important in contexts like health care, where an understanding of the users' language and intentions is critical to provide accurate health information. To study the used language we utilize an annotation-based method to analyze if the seekers' language deviates from the health care professionals', and the one found in medical terminologies and information sources. By an analysis of the use of a major public Swedish health information portal we present, in our opinion, a surprising overlap in the language used by laymen and professionals, thereby supporting the use of terminology-based annotation to facilitate improved information retrieval in this setting.
Do integrated care structures foster processes of integration? A quasi-experimental study in frail elderly care from the professional perspective

Objective This study explores the processes of integration that are assumed to underlie integrated care delivery. Design A quasi-experimental design with a control group was used; a new instrument was developed to measure integration from the professional perspective. Setting and participants Professionals from primary care practices and home-care organizations delivering care to the frail elderly in the Walcheren region of the Netherlands. Intervention An integrated care intervention specifically targeting frail elderly patients was implemented. Main Outcome Measures Structural, cultural, social and strategic integration and satisfaction with integration. Results The intervention significantly improved structural, cultural and social integration, agreement on goals, interests, power and resources and satisfaction with integration. Conclusions This study confirms that integrated care structures foster processes of integration among professionals. Trial registration Current Controlled Trials ISRCTN05748494.
Testing Economic Theory Using the Cointegrated Vector Autoregressive Model : New Keynesian Models and House Prices

This PhD project investigates a method for taking theoretical models, mainly New Keynesian models for business cycle analysis, to the data. The cointegrated vector autoregressive (CVAR) model is used as a statistical framework, which provides the possibility of testing aspects of theoretical New Keynesian models. Additionally, it may be used as an alternative method for estimating these models, contrary to what is mainly used. In particular, there is no need to alter the non-stationary macroeconomic variables prior to estimation and the theoretical steady state of the model may be tested as restrictions on the long-run relationships of the CVAR model. In chapter two and three, properties of theoretical New Keynesian models are tested in the CVAR model. Chapter two includes a New Keynesian model which explains price- and wage setting, while the New Keynesian model in chapter three includes the housing market. The theoretical model in chapter two is mostly in line with what is found in the data, while there is a gap between the theoretical model in chapter three and the empirical observations. Hence, the CVAR framework is found to be a valuable tool in testing properties of the theoretical models, and may be used in order to assess the empirical relevance of the model before using it for policy analysis.The final chapter finds evidence in favor of a bubble in the US housing market prior to the financial crisis starting in 2008, due to explosiveness in house prices using a theoretical model for the housing market. This may explain the deviations between the model and the empirical observations in chapter three. It also implies that the CVAR model can be used in order to monitor the housing market
Content-Based Image Retrieval Method and Its Application to Shoeprint Identification

In this paper, content-based image retrieval method is applied to develop a system for automatic retrieval of questioned shoeprint images from a reference database of shoeprint images. The organizational structure, functional features, shoeprint query of the system and its application to footwear impression examination and identification is introduced in more detail. Comparison experiment is made to demonstrate its ability of retrieving similar images and identifying shoeprints. Experimental results show that the retrieval speed and performance of the system are satisfying.
Abnormal Morphological and Functional Organization of the Hippocampus in a p35 Mutant Model of Cortical Dysplasia Associated with Spontaneous Seizures

Cortical dysplasia is a major cause of intractable epilepsy in children. However, the precise mechanisms linking cortical malformations to epileptogenesis remain elusive. The neuronal-specific activator of cyclin-dependent kinase 5, p35, has been recognized as a key factor in proper neuronal migration in the neocortex. Deletion of p35 leads to severe neocortical lamination defects associated with sporadic lethality and seizures. Here we demonstrate that p35-deficient mice also exhibit dysplasia/ heterotopia of principal neurons in the hippocampal formation, as well as spontaneous behavioral and electrographic seizures. Morphological analyses using immunocytochemistry, electron microscopy, and intracellular labeling reveal a high degree of abnormality in dentate granule cells, including heterotopic localization of granule cells in the molecular layer and hilus, aberrant dendritic orientation, occurrence of basal dendrites, and abnormal axon origination sites. Dentate granule cells of p35-deficient mice also demonstrate aberrant mossy fiber sprouting. Field potential laminar analysis through the dentate molecular layer reflects the dispersion of granule cells and the structural reorganization of this region. Similar patterns of cortical disorganization have been linked to epileptogenesis in animal models of chronic seizures and in human temporal lobe epilepsy. The p35-deficient mouse may therefore offer an experimental system in which we can dissect out the key morphological features that are causally related to epileptogenesis.
Absolute Quantification of Proteins by LCMSE

Relative quantification methods have dominated the quantitative proteomics field. There is a need, however, to conduct absolute quantification studies to accurately model and understand the complex molecular biology that results in proteome variability among biological samples. A new method of absolute quantification of proteins is described. This method is based on the discovery of an unexpected relationship between MS signal response and protein concentration: the average MS signal response for the three most intense tryptic peptides per mole of protein is constant within a coefficient of variation of less than ±10%. Given an internal standard, this relationship is used to calculate a universal signal response factor. The universal signal response factor (counts/mol) was shown to be the same for all proteins tested in this study. A controlled set of six exogenous proteins of varying concentrations was studied in the absence and presence of human serum. The absolute quantity of the standard proteins was determined with a relative error of less than ±15%. The average MS signal responses of the three most intense peptides from each protein were plotted against their calculated protein concentrations, and this plot resulted in a linear relationship with an R2 value of 0.9939. The analyses were applied to determine the absolute concentration of 11 common serum proteins, and these concentrations were then compared with known values available in the literature. Additionally within an unfractionated Escherichia coli lysate, a subset of identified proteins known to exist as functional complexes was studied. The calculated absolute quantities were used to accurately determine their stoichiometry.