Miracle-dz/UniFAR-FTUs huggingface dataset:
Nondominated sorting genetic algorithm for optimal phasor measurement placement

The paper considers a phasor measurement unit (PMU) placement problem requiring simultaneous optimization of two conflicting objectives, such as minimization of the number of PMUs and maximization of the measurement redundancy. The objectives are in conflict, since the improvement of one of them leads to the deterioration of another. Instead of unique optimal solution, it exists a set of best trade-offs between competing objectives, the so-called Pareto-optimal solutions. A specially tailored nondominated sorting genetic algorithm (NSGA) for PMU placement problem is proposed as a methodology to find these Pareto-optimal solutions. The algorithm is combined with the graph-theoretical procedure and a simple GA to reduce initial number of the PMU's candidate locations. The NSGA parameters are carefully set by performing a number of trial runs and evaluating the NSGA performances based on the number of distinct Pareto-optimal solutions found in the particular run and the distance of the obtained Pareto front from the optimal one. Illustrative results on the 39-bus and 118-bus IEEE systems are presented.
Sur les ext-globaux dans une déformation

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effectiveness of the clinical pharmacist in reducing mortality in hospitalized cardiac patients: a propensity score-matched analysis

Background: Pharmacist-led medication review services have been assessed in the meta-analyses in hospital. Of the 135 relevant articles located, 21 studies met the inclusion criteria; however, there was no statistically significant difference found between pharmacists’ interventions and usual care for mortality (odds ratio 1.50, 95% confidence interval 0.65, 3.46, P = 0.34). These analyses may not have found a statistically significant effect because they did not adequately control the wide variation in the delivery of care and patient selection parameters. Additionally, the investigators did not conduct research on the cases of death specifically and did not identify all possible drug-related problems (DRPs) that could cause or contribute to mortality and then convince physicians to correct. So there will be a condition to use a more precise approach to evaluate the effect of clinical pharmacist interventions on the mortality rates of hospitalized cardiac patients. Objective: To evaluate the impact of the clinical pharmacist as a direct patient-care team member on the mortality of all patients admitted to the cardiology unit. Methods: A comparative study was conducted in a cardiology unit of a university-affiliated hospital. The clinical pharmacists did not perform any intervention associated with improper use of medications during Phase I (preintervention) and consulted with the physicians to address the DRPs during Phase II (postintervention). The two phases were compared to evaluate the outcome, and propensity score (PS) matching was applied to enhance the comparability. The primary endpoint of the study was the composite of all-cause mortality during Phase I and Phase II. Results: Pharmacists were consulted by the physicians to correct any drug-related issues that they suspected may cause or contribute to a fatal outcome in the cardiology ward. A total of 1,541 interventions were suggested by the clinical pharmacist in the study group; 1,416 (92.0%) of them were accepted by the cardiology team, and violation of incompatibilities had the highest percentage of acceptance by the cardiology team. All-cause mortality was 1.5% during Phase I (preintervention) and was reduced to 0.9% during Phase II (postintervention), and the difference was statistically significant ( P = 0.0005). After PS matching, all-cause mortality changed from 1.7% during Phase I down to 1.0% during Phase II, and the difference was also statistically significant ( P = 0.0074). Conclusion: DRPs that were suspected to cause or contribute to a possibly fatal outcome were determined by clinical pharmacist service in patients hospitalized in a cardiology ward. Correction of these DRPs by physicians after pharmacist’s advice caused a significant decrease in mortality as analyzed by PS matching. The significant reduction in the mortality rate in this patient population observed in this study is “hypothesis generating” for future randomized studies.
Developing UPPAAL over 15 years

UPPAAL is a tool suitable for model checking real‐time systems described as networks of timed automata communicating by channel synchronizations and extended with integer variables. Its first version was released in 1995 and its development is still very active. It now features an advanced modeling language, a user‐friendly graphical interface, and a performant model checker engine. In addition, several flavors of the tool have matured in recent years. In this paper, we present how we managed to maintain the tool during 15 years, its current architecture with its challenges, and we give the future directions of the tool. Copyright © 2011 John Wiley & Sons, Ltd.
UvA-DARE ( Digital Academic Repository ) Universal Quake Statistics : From Compressed Nanocrystals to Earthquakes

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Department of Economics Working Paper Series Asset Accumulation and Short Term Employment

gratefully acknowledge the financial support of the Danish National Research Foundation through their grant to CAM, as well as the Social Sciences and Humanities Research Council of Canada and the Leverhulme Trust. We also thank participants in a number of workshops and seminars for helpful comments. Abstract If access to credit is limited (especially when young or unemployed) but " bad " jobs are easy to come by, then job seekers might use short term employment in undesirable jobs as a way to finance consumption during subsequent unemployed search for a " good " job. In this paper we explore this idea in two ways. First, we document empirical patterns of short term employment and asset accumulation among job seekers. Second, we build a theoretical model of job search by risk averse, credit constrained agents. In this model we are able to demonstrate analytically that voluntary planned quits can occur as agents cycle between accumulating assets in short term employment and unemployed search for more desirable employment.
Procedure placement using temporal-ordering information

Instruction cache performance is important to instruction fetch efficiency and overall processor performance. The layout of an executable has a substantial effect on the cache miss rate and the instruction working set size during execution. This means that the performance of an executable can be improved by applying a code-placement algorithm that minimizes instruction cache conflicts and improves spatial locality. We describe an algorithm for procedure placement, one type of code placement, that signicantly differs from previous approaches in the type of information used to drive the placement algorithm. In particular, we gather temporal-ordering information that summarizes the interleaving of procedures in a program trace. Our algorithm uses this information along with cache configuration and procedure size information to better estimate the conflict cost of a potential procedure ordering. It optimizes the procedure placement for single level and multilevel caches. In addition to reducing instruction cache conflicts, the algorithm simultaneously minimizes the instruction working set size of the program. We compare the performance of our algorithm with a particularly successful procedure-placement algorithm and show noticeable improvements in the instruction cache behavior, while maintaining the same instruction working set size.
Optimisation robuste d?un parc autonome de production d?électricité

Nous etudions l'optimisation de la conception d? un systeme hybride possedant des panneaux photovoltaiques, des eoliennes, des batteries et un generateur a diesel. Le comportement du vent et du soleil, ainsi que la demande des clients, etant aleatoires, nous chercherons une solution robuste permettant de repondre a la demande pour chaque periode, tout en minimisant le cout du pire scenario associe au parc choisi. Pour resoudre le probleme ro? buste, qui se modelise par un programme en deux etapes, nous etudions un probleme dit de recours, et montrons que nous pouvons obtenir une solution optimale de ce probleme en temps polynomial grâce a un algorithme de programmation dynamique. Nous resolvons alors le probleme robuste par une methode de generation de contraintes.
UvA-DARE ( Digital Academic Repository ) Deuterium retention in radiation damaged tungsten exposed to high-flux plasma '

Radiation-damaged tungsten is exposed to high-flux, low-energy deuterium plasmas at self-biased conditions. We observed that the fraction of deuterium that penetrates, is only 10−5− 10−7 of the plasma flux and strongly dependent on the local surface temperature. We propose that deuterium does not directly penetrate bulk tungsten but that it thermalizes at the surface where it forms a protective chemisorbed layer. We found an energy barrier of 1 – 2 eV between surface and bulk, causing the influx of deuterium to be low as compared to the number of defects and leading to slow filling of the damaged layer. published in: Physical Review Letters 111 225001 (2013)
Pengaruh Perceived Organizational Support Terhadap Turnover Intention Melalui Kepuasan Kerja Sebagai Variabel Mediator Di Restoran X Surabaya

Penelitian ini dilakukan untuk menguji analisa pengaruh Perceived Organizational Support terhadap turnover intention dengan kepuasan kerja sebagai variable mediator pada Restoran X. Pengambilan data dilakukan dengan menggunakan teknik sensus dan penyebaran kuesioner kepada seluruh responden program SEM dengan metode PLS digunakan untuk menganalisis hasil dari penelitian. Dari hasil penelitian, didapati bahwa Perceived Organizational Support berpengaruh positif signifikan terhadap kepuasan kerja, Perceived Organizational Support berpengaruh negatif signifikan terhadap turnover intention, dan kepuasan kerja berpengaruh negatif signifikan terhadap turnover intention.
RELATIVE PERTURBATION THEORY FOR DIAGONALLY DOMINANT MATRICES

OF DISSERTATION RELATIVE PERTURBATION THEORY FOR DIAGONALLY DOMINANT MATRICES Diagonally dominant matrices arise in many applications. In this work, we exploit the structure of diagonally dominant matrices to provide sharp entrywise relative perturbation bounds. We first generalize the results of Dopico and Koev to provide relative perturbation bounds for the LDU factorization with a well conditioned L factor. We then establish relative perturbation bounds for the inverse that are entrywise and independent of the condition number. This allows us to also present relative perturbation bounds for the linear system Ax=b that are independent of the condition number. Lastly, we continue the work of Ye to provide relative perturbation bounds for the eigenvalues of symmetric indefinite matrices and non-symmetric matrices.
The morphogenetic role of midline mesendoderm and ectoderm in the development of the forebrain and the midbrain of the mouse embryo

The morphogenetic role of midline mesendoderm and ectoderm in the development of the forebrain and the midbrain of the mouse embryoThe morphogenetic role of midline mesendoderm and ectoderm in the development of the forebrain and the midbrain of the mouse embryo" (2000). Rivera Lab. 8. The morphogenetic role of midline mesendoderm and ectoderm in the development of the forebrain and the midbrain of the mouse embryo
Local Traces: An Over-Approximation of the Behavior of the Proteins in Rule-Based Models

Thanks to rule-based modelling languages, we can assemble large sets of mechanistic protein-protein interactions within integrated models. Our goal would be to understand how the behavior of these systems emerges from these low-level interactions. Yet, this is a quite long term challenge and it is desirable to offer intermediary levels of abstraction, so as to get a better understanding of the models and to increase our confidence within our mechanistic assumptions. To this extend, static analysis can be used to derive various abstractions of the semantics, each of them offering new perspectives on the models. We propose an abstract interpretation of the behavior of each protein, in isolation. Given a model written in Kappa, this abstraction computes for each kind of proteins a transition system that describes which conformations this protein may take and how a protein may pass from one conformation to another one. Then, we use simplicial complexes to abstract away the interleaving order of the transformations between conformations that commute. As a result, we get a compact summary of the potential behavior of each protein of the model.
lack of tolerable treatment options for patients with schizophrenia

Purpose: Atypical antipsychotics (AAs), an effective treatment for schizophrenia, have a range of pharmacologic properties leading to differences in tolerability as well as heterogeneity in treatment response. Individual patient characteristics must be considered when making treatment choices, especially from an adverse event (AE) or tolerability perspective. Despite the availability of numerous AAs, after appraising patient characteristics at the time of treatment selection, physicians may quickly run out of tolerable treatment options. Patients and methods: AE risk factors, defined as having either a prior history of an AE or a risk factor for that AE, were determined for Medicaid-insured and Commercially insured patients using database analysis. Patients receiving AA treatment between January 1, 2010 and December 31, 2012 defined the index date of first observed AA prescription during this period. Nine AAs were evaluated for association with AE risk factors as informed by drug prescribing information from the different manufacturers and published meta-analyses. The proportion of patients with pre-index AE risk factors prescribed an AA associated with that risk factor was then determined. Results: A high proportion of patients ( . 80%) were prescribed an AA associated with extrapyramidal symptoms or akathisia despite experiencing extrapyramidal symptoms or akathisia prior to AA treatment initiation. Similar trends were observed among patients with diabetes ( . 60%) and obesity ( . 40%). From the nine treatment options available, the number of optimal choices for individual patient segments were limited based on their prior history, including those with cardiometabolic and cardiovascular comorbidities (four); experiencing prolactin elevation-related problems (seven); needing to avoid excessive sedation (four); or at risk of extrapyramidal symptoms or akathisia (two). Options were then further restricted among patients in more than one segment when multiple pre-index AE risk factors were combined. Conclusion: When combining patient risk profile with antipsychotic AE profile, physicians may quickly run out of tolerable treatment options for individual patients, despite the availability of many AAs, suggesting a need for additional treatment options with better tolerability and without compromising efficacy.
The effect of curing intensity on mechanical properties of different bulk-fill composite resins

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A 3D shear material damping model for man-made vibrations of the ground

Abstract. In this article, a 3 dimensional shear damping constitutive soil model is presented. This model has been implemented as a user defined soil model for the Finite Element Method software of Plaxis 2D. Verification tests demonstrate a good agreement with the theoretical model. A pulse load on a circular area on a soil surface has been numerically modelled with this shear damping soil model and compared to the results obtained by using the Rayleigh damping. The shear damping model demonstrates a different physical behaviour of the soil, in comparison to the Rayleigh damping.
Statistical modeling of skewed data using newly formed parametric distributions

Statistical M odeling of Skewed D ata U sing N ew ly Formed Parametric D istributions by Kahadawala Cooray Dr. Malwane M. A. Ananda, Examination Committee Chair Professor of Statistics University of Nevada, Las Vegas Several newly formed continuous parametric distributions are introduced to an­ alyze skewed data. Firstly, a two-parameter smooth continuous lognormal-Pareto composite distribution is introduced for modeling highly positively skewed data. The new density is a lognormal density up to an unknown threshold value and a Pareto density for the remainder. The resulting density is similar in shape to the lognormal density, yet its upper tail is larger than the lognormal density and the tail behavior is quite similar to the Pareto density. Parameter estimation methods and the goodnessof-fit criterion for the new distribution are presented. A large actuarial data set is analyzed to illustrate the better fit and applicability of the new distribution over other leading distributions. Secondly, the Odd Weibull family is introduced for modeling data with a wide variety of hazard functions. This three-parameter family is derived by considering the distributions of the odds of the Weibull and inverse Weibull fami­ lies. As a result, the Odd Weibull family is not only useful for testing goodness-of-ht of the Weibull and inverse Weibull as submodels, but it is also convenient for modeling iii Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. and fitting different data sets, especially in the presence of censoring and truncation. This newly formed family not only possesses all five major hazard shapes: constant, increasing, decreasing, bathtub-shaped and unimodal failure rates, but also has wide variety of density shapes. The model parameters for exact, grouped, censored and truncated data are estimated in two different ways due to the fact that the inverse transformation of the Odd Weibull family does not change its density function. Ex­ amples are provided based on survival, reliability, and environmental sciences data to illustrate the variety of density and hazard shapes by analyzing complete and in­ complete data. Thirdly, the two-parameter logistic-sinh distribution is introduced for modeling highly negatively skewed data with extreme observations. The resulting family provides not only negatively skewed densities with thick tails, but also vari­ ety of monotonie density shapes. The advantages of using the proposed family are demonstrated and compared by illustrating well-known examples. Finally, the folded parametric families are introduced to model the positively skewed data with zero data values.
Complex wavelet regularization for 3D confocal microscopy deconvolution

Confocal microscopy is an increasingly popular technique for 3D imaging of biological specimens which gives images with a very good resolution (several tenths of micrometers), even though degraded by both blur and Poisson noise. Deconvolution methods have been proposed to reduce these degradations, some of them being regularized on a Total Variation prior, which gives good results in image restoration but does not allow to retrieve the thin details (including the textures) of the specimens. We first propose here to use instead a wavelet prior based on the Dual-Tree Complex Wavelet transform to retrieve the thin details of the object. As the regularizing prior efficiency also depends on the choice of its regularizing parameter, we secondly propose a method to select the regularizing parameter following a discrepancy principle for Poisson noise. Finally, in order to implement the proposed deconvolution method, we introduce an algorithm based on the Alternating Direction technique which allows to avoid inherent stability problems of the Richardson-Lucy multiplicative algorithm which is widely used in 3D image restoration. We show some results on real and synthetic data, and compare these results to the ones obtained with the Total Variation and the Curvelets priors. We also give preliminary results on a modification of the wavelet transform allowing to deal with the anisotropic sampling of 3D confocal images.
A Positive and Monotone Numerical Scheme for Volterra-Renewal Equations with Space Fluxes

We study a numerical method for solving a system of Volterra-renewal integral equations with space fluxes, that represents the Chapman-Kolmogorov equation for a class of piecewise deterministic stochastic processes. The solution of this equation is related to the time dependent distribution function of the stochastic process and it is a non-negative and non-decreasing function of the space. Based on the Bernstein polynomials, we build up and prove a non-negative and non-decreasing numerical method to solve that equation, with quadratic convergence order in space.
switching of carbene spin states: effect of hydrogen bond donors

: Quantum chemical calculations predict that the spin states of simple carbenes can be switched over from triplet to singlet via hydrogen bonding, and thus the spin specificity of their reactions can be tuned. The stability of the singlet state of simple carbenes like: CH 2 increases due to hydrogen bond formation with a single molecule of water or methanol, although the triplet state is found to be the ground state. However, the most dramatic effect of spin switch is found for diphenylcarbene (Ph 2 C), which becomes a ground state singlet due to formation of a hydrogen bond with the hydrogen atom of water or methanol. The present calculations reveal that the effect of hydrogen bonds on switching the spin state of carbenes is only applicable to Ph 2 C, as it has a very small singlet–triplet gap in its free form, ie, when it is not hydrogen bonded with water or methanol. Further, the presence of such hydrogen-bonding interaction has been verified within the realm of atoms-in-molecules analysis of the electron density.