Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Complex Phases of the MSSM at Future Colliders

The Minimal Supersymmetric Standard Model (cMSSM) may possess several complex phases. These phases can enter via loop corrections into the Higgs boson sector [1] and affect the Higgs boson masses end couplings [2, 3, 4, 5, 6, 7]. Most prominently the phase of the third generation trilinear couplings, φAt,b , have an effect, while the phases from the gaugino sector usually have a smaller impact. At the two-loop level also the phase of the gluino, φg , can enter. Measuring these phases will be one of the important tasks of future high-energy colliders. We discuss the impact of complex phases within the MSSM on various Higgs boson production and decay channels. Results are compared for a the LHC, the ILC, and a γγ collider (γC). While the precision of the branching ratio measurement at the LHC is not accurate enough, both the ILC and the γC could in principle be sensitive to the effects of complex phases (depending on the scenario). The precisions for the various Higgs boson decay channels at the three colliders are summarized in tab. I. The Higgs boson mass is set to “typical” values below the upper bound of mh ∼ 140 GeV [8, 9], which is valid in the real as well as in the complex MSSM.
Temporal dynamics of motion integration 1 2

In order to correctly determine the velocity of moving objects, the brain must integrate information derived from a large number of local detectors. The geometry of objects, the presence of occluding surfaces and the restricted receptive fields of early motion detectors conspire to render many of these measurements unreliable or downright misleading. One possible solution to this problem, often referred to as the "aperture problem," involves differential weighting of local cues according to their fidelity: measurements made near 2-dimensional object features called "terminators" are selectively integrated, whereas 1-dimensional motion signals emanating from object contours are given less weight. A large number of experiments have assessed the integration of these different kinds of motion cues using perceptual reports, eye movements and neuronal activity. All of the results show striking qualitative similarities in the temporal sequence of integration: the earliest responses reveal a nonselective integration which becomes progressively selective over time. In this review we propose a simple mechanistic model based on endstopped, direction-selective neurons in V1 of the macaque, and use it to account for the dynamics observed in perception, eye movements, and neural responses in MT.
EPCloud Flow: Load Prediction and Migration Optimizations for EPC Network on Cloud

To ensure global interoperability in today's fast-moving trading networks, EPC global Network (EPC Network) architecture has been at the core of Electronic Product Code (EPC) as a universal identifier for objects' virtual representations. While Cloud technology has largely been used for EPC Network's real world deployment for thousands of vendors, an optimized Cloud solution has yet to be provided. Therefore, in this paper, we explore the challenges of EPC Network deployment, and propose our own Cloud solution with optimizations in load prediction and migration management. As proof of concept, we have conducted experiments with regard to prediction accuracy and migration performance.
Architectures for Self-Healing Databases under Cyber Attacks

Summary In this paper, we propose five architectures for self-healing databases under malicious attacks. While traditional secure database systems rely on prevention controls, a self-healing database system can autonomically estimate, locate, isolate, contain, and repair damage caused by attacks in such a way that the database can “heal” itself on-the-fly and continue delivering essential services in the face of attacks. With a focus on attacks by malicious transactions, Architecture I can detect intrusions, and locate and repair the damage caused by the intrusions. Architecture II enhances Architecture I with the ability to isolate attacks so that the database can be immunized from the damage caused by a lot of attacks. Architecture III enhances Architecture I with the ability to dynamically contain the damage in such a way that no damage will leak out during the attack recovery process. Architecture IV enhances Architectures II and III with the ability to adapt the self-healing controls to the changing environment so that a stabilized level of healthiness can be maintained. Architecture V enhances Architecture IV with the ability to deliver differential, quantitative QoIA services to customers.
Daily and intradaily stochastic covariance : value at risk estimates for the foreign exchange market

The importance of time varying volatility in securities prices (e.g. GARCH) has by now been amply established in the literature, both in terms of the magnitude and pervasiveness of the phenomenon, and in terms of its significance for risk management in institutional portfolios. Less attention has been devoted to multivariate conditional heteroskedasticity, in spite of the fact that securities are typically held in portfolios rather than in isolation. Recently, Kroner and Ng (1995) have introduced a method for nesting the four most commonly used multivariate GARCH models, allowing for comparative tests of the performance of the models. We propose to apply the Kroner and Ng technique to both daily and intradaily returns on foreign exchange rates, to obtain performance estimates. These conditional covariances will then be used to calculate value at risk (VaR) forecasts for foreign currency portfolios. Daily and intradaily VaR forecasts will be evaluated and compared.
Debugging data exchange with vagabond

In this paper, we present Vagabond, a system that uses a novel holistic approach to help users to understand and debug data exchange scenarios. Developing such a scenario is a complex and labor-intensive process where errors are often only revealed in the target instance produced as the result of this process. This makes it very hard to debug such scenarios, especially for non-power users. Vagabond aides a user in debugging by automatically generating possible explanations for target instance errors identified by the user.
Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data

Array-based comparative genomic hybridization (aCGH) is a high-resolution, high-throughput technique for studying the genetic basis of cancer. The resulting data consist of log fluorescence ratios as a function of the genomic DNA location and provide a cytogenetic representation of the relative DNA copy number variation. Analysis of such data typically involves estimating the underlying copy number state at each location and segmenting regions of DNA with similar copy number states. Most current methods proceed by modeling a single sample / array at a time, and thus fail to borrow strength across multiple samples to infer shared regions of copy number aberrations. We propose a hierarchical Bayesian random segmentation approach for modeling aCGH data that uses information across arrays from a common population to yield segments of shared copy number changes. These changes characterize the underlying population and allow us to compare different population aCGH profiles to assess which regions of the genome have differential alterations. Our method, which we term Bayesian detection of shared aberrations in aCGH (BDSAScgh), is based on a unified Bayesian hierarchical model that allows us to obtain probabilities of alteration states as well as probabilities of differential alterations that correspond to local false discovery rates for both single and multiple groups. We evaluate the operating characteristics of our method via simulations and an application using a lung cancer aCGH data set. This article has supplementary material online.
Working paper: Where does controversy come from?: The role of the formal participation process in citizens’ sensemaking

Impact assessments tend to focus on economical and environmental impacts when evaluating a project, whereas citizens focus primarily on the impact on their everyday life. This creates tension that is not always resolved in the participation process. Planning literature often focus on the importance of the project and participation process in resolving these tensions. (Michels and de Grass, 2010) Therefore, the focus is often put on what citizens expect from a formal participation process and their roles in the formal arenas created for participation. (Tuler and Webler, 1999; Smith and McDonough, 2001). This approach has a tendency to presume, that a good participation process will eliminate conflict in the planning process. (Innes and Booher, 2004) Consequently, it can be difficult to explain, what sparks controversy when it occurs in planning processes containing thorough participation processes and moderate impacts on local communities.
Structural brain imaging and multivariate analysis enable virtual lumbar punctures

Functional brain imaging has been a standard tool in the basic and clinical neurosciences for at least 2 decades, and structural brain imaging can claim an even longer track record of successful use for diagnosis of neurodegenerative disease. It is instructive to recall the ways in which brain imaging has been used to date, and this exercise will clarify why the contribution by McMillan et al.1 in the current issue of Neurology® is exciting and novel.
Person-specific age estimation under ranking framework

Different from traditional age estimation methods under classification or regression frameworks, this paper proposes a novel person-specific age estimation method under ranking framework. The basic idea is to consider the aging process as a personal age-ranked image sequences and extract the relevant information from this sequences. The estimation of age for an unknown face image is determined by first utilizing face recognition to find the persons in template sets who looks similar to the unseen person, then estimating the ranking order of the unseen person in corresponding person-specific image sequences, lastly mapping and fusing the rank order to its real age. Under this framework, our proposed system not only can estimate the correct the age orders of pairs of faces naturally but also can estimate the real age accurately. The proposed method has shown encouraging performance in the comparative experiments either as an age ranker or as an accurate age estimator and the experiment also proved the validity of the above assumption.
Slab‐plume interaction beneath the Pacific Northwest

The Pacific Northwest has undergone complex plate reorganization and intense tectono‐volcanic activity to the east during the Cenozoic (last 65 Ma). Here we show new high‐resolution tomographic images obtained using shear and compressional data from the ongoing USArray deployment that demonstrate first that there is a continuous, whole‐mantle plume beneath the Yellowstone Snake River Plain (YSRP) and second, that the subducting Juan de Fuca (JdF) slab is fragmented and even absent beneath Oregon. The analysis of the geometry of our tomographic models suggests that the arrival and emplacement of the large Yellowstone plume had a substantial impact on the nearby Cascadia subduction zone, promoting the tearing and weakening of the JdF slab. This interpretation also explains several intriguing geophysical properties of the Cascadia trench that contrast with most other subduction zones, such as the absence of deep seismicity and the trench‐normal fast direction of mantle anisotropy. The DNA velocity models are available for download and slicing at http://dna.berkeley. edu.
Testing association of a pathway with survival using gene expression data

MOTIVATION A recent surge of interest in survival as the primary clinical endpoint of microarray studies has called for an extension of the Global Test methodology to survival. RESULTS We present a score test for association of the expression profile of one or more groups of genes with a (possibly censored) survival time. Groups of genes may be pathways, areas of the genome, clusters from a cluster analysis or all genes on a chip. The test allows one to test hypotheses about the influence of these groups of genes on survival directly, without the intermediary of single gene testing. The test is based on the Cox proportional hazards model and is calculated using martingale residuals. It is possible to adjust the test for the presence of covariates. We also present a diagnostic graph to assist in the interpretation of the test result, visualizing the influence of genes. The test is applied to a tumor dataset, revealing pathways from the gene ontology database that are associated with survival of patients. AVAILABILITY The Global Test for survival has been incorporated into the R-package globaltest (version 3.0), available at http://www.bioconductor. org
A Novel Approach for Vehicle-logo Location Based on Edge Detection and Morphological Filter

Vehicle-logo location is a crucial step in vehicle-logo recognition system. In this paper, a novel approach of the vehicle-logo location based on edge detection and morphological filter is proposed. Firstly, the approximate location of the vehicle-logo region is determined by the prior knowledge about the position of the vehicle-logo ; Secondly, the texture measure is defined to recognize the texture of the vehicle-logo background ; Then, vertical edge detection is executed for the vehicle-logo background with the horizontal texture and horizontal edge detection is implemented for the vehicle-logo background with the vertical texture; Finally, position of the vehicle-logo is located accurately by mathematical morphology filter. Experimental results show the proposed method is effective.
Techniques for intratumoral chemotherapy of lung cancer by bronchoscopic drug delivery

Firuz Celikoglu, Seyhan I Celikoglu, Eugene P Goldberg University of Istanbul, Cerrahpasa Medical Faculty and Institute of Lung Diseases and Tuberculosis, Istanbul, Turkey University of Florida, Biomaterials Center, Department Materials Science & Engineering, Gainesville, FL, USA __________________________________________________________________________________ *Correspondence: Seyhan I Celikoglu Ph.D., Urguplu Caddesi, No. 16, Yesilyurt, 34800 Istanbul, Turkey; Tel. :+90 (542) 433 02 88; Fax: +90 (212) 663 96 38; E-mail addresses: seyhan@celikoglu.biz
Intensive training in adults refines A1 representations degraded in an early postnatal critical period

The spectral, temporal, and intensive selectivity of neurons in the adult primary auditory cortex (A1) is easily degraded in early postnatal life by raising rat pups in the presence of pulsed noise. The nonselective frequency tuning recorded in these rats substantially endures into adulthood. Here we demonstrate that perceptual training applied in these developmentally degraded postcritical-period rats results in the recovery of normal representational fidelity. By using a modified go/no-go training strategy, structured noise-reared rats were trained to identify target auditory stimuli of specific frequency from a set of distractors varying in frequency. Target stimuli changed daily on a random schedule. Consistent with earlier findings, structured noise exposure within the critical period resulted in disrupted tonotopicity within A1 and in degraded frequency-response selectivity for A1 neurons. Tonotopicity and frequency-response selectivity were normalized by perceptual training. Changes induced by training endured without loss for at least 2 months after training cessation. The results further demonstrate the potential utility of perceptual learning as a strategy for normalizing deteriorated auditory representations in older (postcritical-period) children and adults.
Fears of Deflation Then and Now

Surveys by Shiller (1997) and others have confirmed the view that the public understands the cost of inflation, even if neither the public nor policy makers can agree on a definition of price stability. There is relatively little understanding of the costs of deflation, however. In part this is due to the fact that sustained falls in consumer prices have been rare since the 1930s. In this paper we explore public and policy maker perceptions and reactions to inflation. We also consider the role of asset price deflation and central bank policy in the deflationary process. A key issue is the effectiveness of, and rationale for, policy initiatives aimed at combating deflation. We include an analysis of the views of economists and the financial press, primarily in North America and the United Kingdom, at the time of the deflation in the second half of the nineteenth century and the first thirty years of the twentieth century. During these episodes both consumer and asset prices fell. We also compare the experience of the Great Crash of 1929 with the recent cases of deflation in both asset prices and consumer prices in China and Japan.
How to Optimize the Use of Blood Cultures for the Diagnosis of Bloodstream Infections? A State-of-the Art

Bloodstream infection (BSI) is a major cause of death in developed countries and the detection of microorganisms is essential in managing patients. Despite major progress has been made to improve identification of microorganisms, blood culture (BC) remains the gold standard and the first line tool for detecting BSIs. Consensus guidelines are available to ensure optimal BSI procedures, but BC practices often deviate from the recommendations. This review provides an update on clinical and technical issues related to blood collection and to BC performance, with a special focus on the blood sample strategy to optimize the sensitivity and specificity of BCs.
Immune network algorithm applied to the optimization of composite SaaS in cloud computing

In order to serve the different application needs of the different Cloud users efficiently and effectively, a possible solution is the decomposition of the software or so-called composite SaaS (Software as a Service). A composite SaaS constitutes a group of loosely-coupled applications that communicate with each other to form higher-level functionality. The benefits to the SaaS providers are reduced delivery cost and flexible SaaS functions, and the benefit for the users is the decreased cost of subscription. For this to be achieved effectively, the optimization of the process is required in order to manage the SaaS resources in the data center efficiently. In this paper, the optimization task of composite SaaS is investigated using an Immune network optimization approach. The approach makes use of activation and suppression that are mimicked by the natural immune system triggering an immune response not only when antibodies interact with antigens but also when they interact with other antibodies. Experiments are conducted with a series of SaaS configurations and the proposed immune network algorithm is compared with a formerly proposed grouping genetic algorithm. The results show that the immune network algorithm outperforms the grouping genetic algorithm.
Handheld handholding: small-screen support for museum visitors

Increasingly museums are developing information systems and guides to be accessed from small mobile devices. Some of these initiatives utilise proprietary hardware and software that can require substantial development resources. More recently museums have had the option to target personal mobile devices, (e.g. Apple iPhone or Google Android handsets) which potentially require a lower investment cost on the part of the institution. While the sophistication of these handheld devices means that a large volume of information can be stored and displayed, the challenge for museums is to provide usable access via the small screen area available. Taking examples from work done during the development of the British Museum multimedia guide, this paper discusses the processes and techniques available for usability testing in a 'live' museum environment and shows how the use of low-cost usability and user testing techniques can be quickly fed back into the development process, making a valuable contribution to the ultimate design and effectiveness of the user interface.
ON THE CONTRIBUTION OF LARGE-SCALE STRUCTURE TO STRONG GRAVITATIONAL LENSING

We study the correlation between the locations of galaxy–galaxy strong-lensing candidates and tracers of large-scale structure from both weak lensing (WL) or X-ray emission. The Cosmological Evolution Survey (COSMOS) is a unique data set, combining deep, high resolution and contiguous imaging in which strong lenses have been discovered, plus unparalleled multiwavelength coverage. To help interpret the COSMOS data, we have also produced mock COSMOS strong- and WL observations, based on ray-tracing through the Millennium Simulation. In agreement with the simulations, we find that strongly lensed images with the largest angular separations are found in the densest regions of the COSMOS field. This is explained by a prevalence among the lens population in dense environments of elliptical galaxies with high total-to-stellar mass ratios, which can deflect light through larger angles. However, we also find that the overall fraction of elliptical galaxies with strong gravitational lensing is independent of the local mass density; this observation is not true of the simulations, which predict an increasing fraction of strong lenses in dense environments. The discrepancy may be a real effect, but could also be explained by various limitations of our analysis. For example, our visual search of strong lens systems could be incomplete and suffer from selection bias; the luminosity function of elliptical galaxies may differ between our real and simulated data; or the simplifying assumptions and approximations used in our lensing simulations may be inadequate. Work is therefore ongoing. Automated searches for strong lens systems will be particularly important in better constraining the selection function.
A Guidance System for an Electric Vehicle in Non-Structured Roads

In this paper, the development of a guidance system for electric vehicles in a non-structured roads environment is presented. The roads lack of any kind of horizontal signs. The vehicle was circulate in the "Instituto Tecnologico de Energias Renovables" (ITER) environment, within the framework of the project entitled "25 Bioclimatic Houses". The vehicle path was take place in the outside with non-controlled illumination conditions and a route plenty of upward and downward slopes and curves. A guidance system based on a binocular head of two degrees of freedom is proposed. The cameras orientation in such way that the road appears centered in the captured images, allows for making the prototype guidance.