Miracle-dz/UniFAR-FTUs huggingface dataset:
Automating Service Dependency Management in a Service-Oriented Component Model

This paper describes a mechanism to automate service dependency management in a service-oriented component model. The impetus behind this mechanism is not merely to eliminate complex and error-prone code from component-based applications, but also to deal with the phenomena of application building blocks that exhibit dynamic availability, i.e., they may appear or disappear at any time and this is not under the control of the application. This intense focus on dynamic availability of building blocks is the result of the belief that applications of the future will become context aware in order to deal with building block proliferation. Such applications will employ context-aware archi-tectures that use context (e.g., location, environment, user task) as a filter for including/excluding building blocks in/from their compositions. In this vision, automatic handling of dynamically available building blocks and their impact on application composition is critical. The service dependency management mechanism described in this paper is a starting point for such research and is implemented on top of the Open Services Gateway Initiative (OSGi) framework. The concepts and solutions it provides are sufficiently general for application in other service-oriented component models.
A BOOTSTRAP-BASED NON-PARAMETRIC ANOVA METHOD WITH APPLICATIONS TO FACTORIAL MICROARRAY DATA

Many microarray experiments have factorial designs, but there are few statistical methods developed explicitly to handle the factorial analysis in these experiments. We propose a bootstrap-based non-parametric ANOVA (NANOVA) method and a gene classification algorithm to classify genes into different groups according to the factor effects. The proposed method encompasses one-way and two-way models, as well as balanced and unbalanced experimental designs. False discovery rate (FDR) estimation is embedded in the procedure, and the method is robust to outliers. The gene classification algorithm is based on a series of NANOVA tests. The false discovery rate of each test is carefully controlled. Gene expression pattern in each group is modeled by a different ANOVA structure. We demonstrate the performance of NANOVA using simulated and microarray data.
Real-Time Volumetric Caustics with Projected Light Beams

We present a method for the visualization of volumetric caustics in single-scattering participating media. The caustics beams are generated from a projected grid in light’s image space, making the solution independent from the geometric complexity of generators. The caustic volumes are extruded in the geometry shader and accumulated into the final volumetric effect.
A classification of concurrency bugs in java benchmarks by developer intent

This work addresses the issue of selecting the formal correctness criterion for a concurrent Java program that best corresponds to the developer¿s intent. We study a set of concurrency-related bugs detected in Java benchmarks reported in the literature. On these programs, we determine whether race-freedom, atomicity or refinement is the simplest and most appropriate criterion for program correctness. Our purpose is to demonstrate empirically the fact that the appropriate fix for a concurrency error and the selection of a program analysis tool for detecting such an error must be based on the proper expression of the designer¿s intent using a formal correctness criterion.
Comparative susceptibility of three species of char and of rainbow trout × char triploid hybrids to several pathogenic salmonid viruses.

Tnp lo~d hybnds were obtained from rainbow trout Oncorhynchus mykiss females crossed w t h sires of brook trout Salvehnus fontinalis arctic char S alpinus and lake trout S namaycush following heat-shock-provoked retention of the second polar body Survlval rates of hybr~ds obtained were ca 50 % The hybnds and the parental specles were challenged with infect~ous pancreatic necrosls vlrus (IPNV) type Sp viral haemorrhagic septlcaem~a vlrus (VHSV) types 1 and 3 and lnfect~ous haema topo~e t~c necrosis vlrus (IHNV) Ra~nbow trout X coho salmon (0 hsu tch ) t np lo~d hybnds were included in certain infection t i~a l s The results Indicated that brook trout were reslstant to VHSV and brook trout X ralnbow trout hybnds were reslstant to both VHSV and IHNV but suscept~ble to IPNV Arct~c har were susceptible to IPNV and resistant to VHSV The hybnds were suscept~ble to IPNV, but part~ally reslstant to VHSV Lake trout were partially resistant to IPNV but their hybnds w t h ralnbow trout were susceptible Lake trout infected by VHSV showed c l ~ n ~ c a l slgns and sign~ficant losses resulted
PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization

PA-GOSUB (Proteome Analyst: Gene Ontology Molecular Function and Subcellular Localization) is a publicly available, web-based, searchable and downloadable database that contains the sequences, predicted GO molecular functions and predicted subcellular localizations of more than 107 000 proteins from 10 model organisms (and growing), covering the major kingdoms and phyla for which annotated proteomes exist (http://www.cs.ualberta.ca/~bioinfo/PA/GOSUB). The PA-GOSUB database effectively expands the coverage of subcellular localization and GO function annotations by a significant factor (already over five for subcellular localization, compared with Swiss-Prot v42.7), and more model organisms are being added to PA-GOSUB as their sequenced proteomes become available. PA-GOSUB can be used in three main ways. First, a researcher can browse the pre-computed PA-GOSUB annotations on a per-organism and per-protein basis using annotation-based and text-based filters. Second, a user can perform BLAST searches against the PA-GOSUB database and use the annotations from the homologs as simple predictors for the new sequences. Third, the whole of PA-GOSUB can be downloaded in either FASTA or comma-separated values (CSV) formats.
CharacterizationofVibrio cholerae aerotaxis

The ability to move toward favorable environmental conditions, called chemotaxis, is common among motile bacteria. In particular, aerotaxis has been extensively studied in Escherichia coli and was shown to be dependent on the aer and tsr genes. Three putative aer gene homologs were identified in the Vibrio cholerae genome, designated aer-1 (VC0512), aer-2 (VCA0658), and aer-3 (VCA0988). Deletion analyses indicated that only one of them, aer-2, actively mediates an aerotaxis response, as assayed in succinate soft agar plates as well as a capillary assay. Complementation studies confirmed that Aer-2 is involved in aerotaxis in V. cholerae. In addition, overexpression of aer-2 resulted in a marked increase of the aerotactic response in soft agar plates. No observable phenotypes in V. cholerae mutants deleted in the aer-1 or aer-3 genes were detected under standard aerotaxis testing conditions. Furthermore, the V. cholerae aer-1 and aer-3 genes, even when expressed from a strong independent promoter, did not produce any observable phenotypes. As found in other bacterial species, the results presented in this study indicate the presence of a secondary aerotaxis transducer in V. cholerae.
Immersion oil for high‐resolution live‐cell imaging at 37°C: optical and physical characteristics

The use of normal immersion oil, developed for 23°C, at 37°C greatly compromises both axial resolution and signal intensity. We developed and characterized an immersion oil for optimal performance in live‐cell imaging at 37°C. We quantify the improvements in resolution and intensity obtained when using the new oil instead of its standard 23°C counterparts.
CAFFEINE

Aggressive prefetching improves system performance by hiding and tolerating off-chip memory latency. However, on a multicore system, prefetchers of different cores contend for shared resources and aggressive prefetching can degrade the overall system performance. The role of a prefetcher aggressiveness engine is to select appropriate aggressiveness levels for each prefetcher such that shared resource contention caused by prefetchers is reduced, thereby improving system performance. State-of-the-art prefetcher aggressiveness engines monitor metrics such as prefetch accuracy, bandwidth consumption, and last-level cache pollution. They use carefully tuned thresholds for these metrics, and when the thresholds are crossed, they trigger aggressiveness control measures. These engines have three major shortcomings: (1) thresholds are dependent on the system configuration (cache size, DRAM scheduling policy, and cache replacement policy) and have to be tuned appropriately, (2) there is no single threshold that works well across all the workloads, and (3) thresholds are oblivious to the phase change of applications. To overcome these shortcomings, we propose CAFFEINE, a model-based approach that analyzes the effectiveness of a prefetcher and uses a metric called net utility to control the aggressiveness. Our metric provides net processor cycles saved because of prefetching by approximating the cycles saved across the memory subsystem, from last-level cache to DRAM. We evaluate CAFFEINE across a wide range of workloads and compare it with the state-of-the-art prefetcher aggressiveness engine. Experimental results demonstrate that, on average (geomean), CAFFEINE achieves 9.5% (as much as 38.29%) and 11% (as much as 20.7%) better performance than the best-performing aggressiveness engine for four-core and eight-core systems, respectively.
A two-part investigation: Examining the relationship between spirituality and posttraumatic growth, and the multidimensionality of posttraumatic growth

s International, 64(8), 4034. (UMI No. 3100583) Fletcher, M. (1996). Bereavement is associated with time-dependent decrements in cellular immune functioning in asymptomatic human immunodeficiency virus type 1 seropositive homosexual men. Clinical and Diagnostic Laboratory Immunology, 3, 109-118. Foa, E. B. , Cashman, L. , Jaycox, L. , & Perry, K. (1997). The validation of a self-report measure of posttraumatic stress disorder : The Posttraumatic Diagnostic Scale. Psychological Assessment, 9(4), 445-451. Frankl, V. E. (1963). Man's search for meaning: An introduction to logotherapy. Oxford, England: Washington Square Press.
GauntLev: A Wearable to Manipulate Free-floating Objects

A tool able to generate remote forces would allow us to handle dangerous or fragile materials without contact or occlusions. Acoustic levitation is a suitable technology since it can trap particles in air or water. However, no approach has tried to endow humans with an intertwined way of controlling it. Previously, the acoustic elements were static, had to surround the particles and only translation was possible. Here, we present the basic manoeuvres that can be performed when levitators are attached to our moving hands. A Gauntlet of Levitation and a Sonic Screwdriver are presented with their manoeuvres for capturing, moving, transferring and combining particles. Manoeuvres can be performed manually or assisted by a computer for repeating patterns, stabilization and enhanced accuracy or speed. The presented prototypes still have limited forces but symbolize a milestone in our expectations of future technology.
Dynamic Provisioning and Stability of p-Cycles in WDM Networks

p-Cycles correspond to an efficient pre-configured and pre-cross-connected Please check `pre-cross connected' throughout. Should this be `pre-cross-connected'? protection scheme which can achieve ring-like recovery speed while retaining the capacity efficiency of mesh-based schemes. While most studies have focused on static traffic, we study here the stability and efficient reconfiguration of p-cycles in the context of dynamic traffic. We design two new highly scalable mathematical models and algorithms for dynamic p-cycles. We consider two objectives, the classical one with the minimization of the spare bandwidth requirements and the objective of minimizing the number of optical bypasses to be newly established or reset while reusing as much as possible the previously established optical bypasses. We use integer linear programming formulations relying on decomposition techniques. The results confirm that not only are the proposed models and algorithms highly scalable but, in addition, they show that p-cycles are highly stable protection schemes.
Facial age estimation by multilinear subspace analysis

Automatic estimation of human facial age is an interesting yet challenging topic appearing in recent years. Since different people might age in different ways, solving the problem of age estimation involves two semantic labels: identity and age. In this paper, aging face images are organized in a third-order tensor according to both identity and age. Due to the difficulty in data collection, the aging pattern for each person in the training set is always incomplete. Therefore, the tensor contains a large amount of missing values. Through a series of multilinear subspace analysis algorithms operating on tensor with missing values, the aging pattern contained in the training aging images can be iteratively learned and be used to predict the age of a given test image. In the experiment, the proposed method not only outperforms the existing algorithms, but also exceeds the human ability in age estimation.
AQP4-Dependent Water Transport Plays a Functional Role in Exercise-Induced Skeletal Muscle Adaptations

In this study we assess the functional role of Aquaporin-4 (AQP4) in the skeletal muscle by analyzing whether physical activity modulates AQP4 expression and whether the absence of AQP4 has an effect on osmotic behavior, muscle contractile properties, and physical activity. To this purpose, rats and mice were trained on the treadmill for 10 (D10) and 30 (D30) days and tested with exercise to exhaustion, and muscles were used for immunoblotting, RT-PCR, and fiber-type distribution analysis. Taking advantage of the AQP4 KO murine model, functional analysis of AQP4 was performed on dissected muscle fibers and sarcolemma vesicles. Moreover, WT and AQP4 KO mice were subjected to both voluntary and forced activity. Rat fast-twitch muscles showed a twofold increase in AQP4 protein in D10 and D30 rats compared to sedentary rats. Such increase positively correlated with the animal performance, since highest level of AQP4 protein was found in high runner rats. Interestingly, no shift in muscle fiber composition nor an increase in AQP4-positive fibers was found. Furthermore, no changes in AQP4 mRNA after exercise were detected, suggesting that post-translational events are likely to be responsible for AQP4 modulation. Experiments performed on AQP4 KO mice revealed a strong impairment in osmotic responses as well as in forced and voluntary activities compared to WT mice, even though force development amplitude and contractile properties were unvaried. Our findings definitively demonstrate the physiological role of AQP4 in supporting muscle contractile activity and metabolic changes that occur in fast-twitch skeletal muscle during prolonged exercise.
A Numerical Investigation of a Perfectly Matched Layer for Computational Aero Acoustics

In simulation of wave phenomena, non-reflecting boundary treatment is needed at artificial boundaries. One such boundary treatment involves Perfectly Matched Layers. In this thesis, numerical tests are made in order to investigate the performance of a Perfectly Matched Layer derived by Hagstrom. The layer is applied to the linearized Euler equations. In the tests, fourth order finite differences are used to approximate the space derivatives. The results are compared to results from similar tests, where other boundary conditions as well as other numerical schemes have been used. Non-growing solutions are obtained for the cases of subsonic uniform flow and subsonic Couette flow. The performance is not good relative to other methods. Suggestions of slight changes to the experiments are stated in the conclusions and it is believed that these changes would yield high performance. En numerisk undersökning av ett perfekt matchat dämpande skikt för aeroakustiska beräkningar
Optimizing Genetic Algorithm Parameters for a Stochastic Game

Can’t Stop is a jeopardy stochastic game played on an octagonal game board with four six-sided dice. Previous work generalized a well-known heuristic strategy for the solitaire game and attempted to optimize the parameters of the generalized strategy using a genetic algorithm (GA). There were two challenges in that optimization process: first, the stochastic nature of the game results in a very noisy fitness function; second, the fitness function is computationally expensive. In this work we continue the optimization process for the heuristic strategy by optimizing the GA: for a fixed number of fitness function evaluations, we investigate the effects of varying the GA parameters (in particular the population size and number of generations), which in turn affect the number of samples per individual and thus noise as well. We also examine different sampling schedules; our schedules are unique in that selecting the final champion is considered a schedulable phase. The GA parameters are first optimized on an easy-to-compute test function. The resulting GA parameters are effective on the original problem and as a result we obtain an improved heuristic strategy for Can’t Stop.
Random Walks with Random Projections

Random projections have been widely used for dimensionality reduction of high dimensional problems. In this paper we show how to compute some popular random walk based proximity measures (hitting and commute times, personalized pagerank) using random projections in undirected graphs. A number of important graph-based real world applications such as image segmentation, collaborative filtering in recommender networks, link prediction in social networks, fraud detection, and personalized graph search techniques rely on graph-theoretic measures of similarity. Random walk based proximity measures have been widely used for these applications. Hence we believe that the algorithm presented in this paper can benefit all these applications. First we show that discounted hitting and commute times are related to personalized pagerank. Next we generalize a recent result from Srivastava et. al. to computing personalized pagerank values by using random projections. We show that our formulation is equivalent to defining the position of a node in terms of its personalized pagerank from a set of basis nodes chosen randomly from the graph. Our preliminary experimental analysis opens up some very interesting questions, which we conclude with.
Angle-domain Common Image Gathers For Anisotropic Migration

I present a general methodology for computing and analyzing A le Domain Common Image Gathers (ADCIGs) in conjunction with anisotropic wav efield-continuation migration. I demonstrate that the aperture angles estimated by tr ansforming prestack images using slant stacks along the subsurface-offset axis are a go od approximation of the phase aperture angles, and that they are exactly equal to the phase aperture angles for flat events in VTI media. I introduce a generalization of the concept of migration imp ulse response for the computation of prestack images function of the subsurface offset that enables a straightforward analytical analysis of the reflector movements caused by per turbations in anisotropic parameters. This analysis shows that the Residual Moveout (RM O) in migrated ADCIGs is function of both the phase aperture angle and the group apert ure angle. The dependency of the RMO function on the group angles adds some complexity t o the RMO analysis because the computation of group angles from phase angles, whi ch are measured from the ADCIGs, depends on the local background anisotropic veloci ty at the reflector point. Several numerical examples demonstrate the accuracy of the RMO function predicted by my kinematic analysis, and in contrast, that the approximat ion of the group angles by the phase angles may lead to substantial errors for events reflec ted at wide aperture angles.
THE IMPACT OF PERSONALITY, INFORMAL ROLES, AND TEAM INFORMAL ROLE CONFIGURATION ON TEAM EFFECTIVENESS

Caughlin, David E. M.S., Purdue University, August 2010. The Impact of Personality, Informal Roles, and Team Informal Role Configuration on Team Effectiveness. Major Professor: Dennis J. Devine. As organizations use more and more work teams, selecting and assembling effective teams is becoming increasingly important. Past research and theory has demonstrated that informal roles serve as a critical linking mechanism between individual-level characteristics such as personality and team-level effectiveness. The present study builds upon this area of research and theory by testing the individual-level link between personality and informal roles and the team-level link between team informal role configuration and team effectiveness. These links were tested using a sample of 152 undergraduate students participating in 38 teams of four. The teams engaged in an information-sharing business simulation where the goal was to generate the highest possible profits across two simulated business years. At the individual level, the Big Five personality dimension Agreeableness positively and significantly correlated with the adoption of the Communicator role, while the relationship between Conscientiousness and the Contractor role approached significance. With regard to the team level, a positive relationship was found between the number of Completer roles performed within a team and the level of team effectiveness for the first simulated
Naive antibody gene-segment frequencies are heritable and unaltered by chronic lymphocyte ablation

A diverse antibody repertoire is essential for an effective adaptive immune response to novel molecular surfaces. Although past studies have observed common patterns of V-segment use, as well as variation in V-segment use between individuals, the relative contributions to variance from genetics, disease, age, and environment have remained unclear. Using high-throughput sequence analysis of monozygotic twins, we show that variation in naive VH and DH segment use is strongly determined by an individual's germ-line genetic background. The inherited segment-use profiles are resilient to differential environmental exposure, disease processes, and chronic lymphocyte depletion therapy. Signatures of the inherited profiles were observed in class switched germ-line use of each individual. However, despite heritable segment use, the rearranged complementarity-determining region-H3 repertoires remained highly specific to the individual. As it has been previously demonstrated that certain V-segments exhibit biased representation in autoimmunity, lymphoma, and viral infection, we anticipate our findings may provide a unique mechanism for stratifying individual risk profiles in specific diseases.