Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Parallel Reservoir Simulation

This paper was selected for presentation by an IPTC Programme Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the International Petroleum Technology Conference and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the International Petroleum Technology Conference, its officers, or members. Papers presented at IPTC are subject to publication review by Sponsor Society Committees of IPTC. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of the International Petroleum Technology Conference is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of where and by whom the paper was presented. Abstract The availability of multi-core CPUs for personal computers makes desktop parallel computing a reality. Parallel computing for reservoir simulation creates the opportunity for significant run time reduction but also introduces additional technical challenges, particularly in the areas of load balancing and general algorithmic robustness. In this paper we will discuss the development and application of ExxonMobil's numerical reservoir simulator, EM powerTM , to parallel desktop systems, focusing on the following areas: • A flexible, hierarchical, object-oriented design that supports fast development, functionality encapsulation, and ease of maintenance • A fully unstructured grid for modeling large and complex reservoirs with fewer gridblocks, yet retaining accurate physics • A highly efficient and robust parallel partition of the fully unstructured grids for modeling large and complex reservoirs • Built-in intelligence for the solver suite and parallel execution to fulfill specific algorithmic needs • Adaptive Implicit Method (AIM) for a high-level of numerical stability with significant run-time speed-up and memory footprint reduction • Dynamic load balancing for seamless integration between shared-memory based parallel computing and adaptive implicit methods We will also describe experiences with real models and briefly discuss mechanisms for addressing problems encountered. We will demonstrate that we can achieve a 3~4 time speedup over serial runs without AIM on real field cases using quad-core machines.
Speed-power-accuracy trade-off in high-speed ADCs: what about nano-electronics?

In this article the fundamental trade-off between speed, power and accuracy for high-speed converters is reviewed with respect to technology scaling. The never-ending story of technology trends towards smaller transistor dimensions has resulted to date in deep sub-micron transistors with lower supply voltages. It will be shown that in future technologies the power consumption of high-speed ADCs will increase to achieve the same accuracy and speed.
Efficacy of a Novel Molecular Tool in Silencing Arabidopsis Genes

RNA interference (RNAi), a pathway capable of silencing genes, has until recently only been achievable in the laboratory by the use of one method, expression of inverted repeat sequences of DNA. These constructs generate a double-stranded RNA, which in turn induce post-transcriptional silencing of other genes that bear sequence homology with the transgene. This approach of targeted gene silencing is extremely useful for studying the function of genes and engineering new traits in both plants and animals. It has recently been discovered that a transgene lacking the polyadenylation signal, called a truncated transgene, is also capable of inducing RNAi in plant cells. This technique was used in efficiently silencing two genes of Arabidopsis thaliana, the Phytochrome A (PHYA) and Phytochrome B (PHY B) genes; however, the effectiveness of this method on a broader range of genes is unknown. The purpose of this study is to analyze the effect of truncated-transgene expression on the homologous native genes in the Arabidopsis genome. More specifically, the rate of silencing of three genes, Variegated 2 (VAR2), Brassinosteroid Insensitive 1 (BRI1) and Apetala 1 (AP1) due to the expression of truncated VAR2, BRI1, and AP1 transgenes, respectively, in Arabidopsis thaliana was examined. This experiment provided important data for assessing the efficacy of truncated transgene based gene silencing system for plants. * Chase Purnell is a 2012 graduate with a B.S. degree in Biology. He is attending the University of Arkansas for Medical Sciences pursuing a medical degree. † Vibha Srivastava serves as the faculty mentor for this project and is a Professor of Plant Biotechnology in the Department of Crop, Soil and Environmental Sciences. § M. Aydin Akbudak is a postdoctoral associate in the Department of Crop, Soil and Environmental Sciences. ‡ Scott J. Nicholson is a postdoctoral research associate in the Department of Crop, Soil and Environmental Sciences.
An Application of conjoint analysis to study determinants of Polish direct investment located in European countries

The purpose of this article is to identify main factors determining the choice of the destination of Polish FDI (foreign direct investments) in Europe. The research includes cost factors, market factors, efficiency factors, law factors, social factors, and political factors that may be important in the search for the beneficiaries of FDI. The basic research method used in the paper is the conjoint analysis. Its application allows for estimating the respondents’ utilities, which enables calculating the relative importance of each variable representing the determinants of the choice of Polish FDI destinations. In addition, estimated part-worth utilities have enabled the segmentation of enterprises according to similar preferences of the selection of FDI location factors. Data from a survey conducted among companies that invest abroad or plan this form of investment has been used in the analysis.
Open standard development platforms for distributed sensor networks

In the development of distributed security sensor networks a large variety of prototype systems have been implemented and tested. However these systems tend to be developer specific and require substantial overhead in demonstrating more than one application. To bridge the gap between embedded, networked systems and desktop simulation environments, systems are necessary which are easily deployable and allow extended operation of distributed sensor networks, while allowing the flexibility to quickly test and evaluate a variety of operational algorithms. To enable fast optimization by leveraging the widest development community, open standards for such a portable development system are desired. An open development system allows individual developers and small groups to focus on and optimize specific aspects of a distributed sensor network within realistic deployment constraints, prior to complete integration and deployment of a system within a specific application. By providing an embedded sensor and processing platform with integrated wired and wireless networking, a modular software suite separating access and control of individual processes, and open APIs, algorithm development and software optimization can be greatly accelerated and more robustly tested. To meet the unique needs of distributed sensor network applications, additional separation must be provided between the access to various subsystems, for example real-time embedded control versus tasks with less stringent timing requirements. An open platform that separates these requirements allows developers to accelerate testing and development of applications by focusing on individual components of the distributed sensor system, such as target tracking or low power networking. The WINS NG 2.0 developer's platform, provided by Sensoria Corporation for the DARPA/ITO Sensor Information Technology (SensIT) program, provides one example of such a system. This systems bridge the gap between dedicated desktop development environments and embedded application-specif
alDh 1 a 1 induces resistance to chOP in diffuse large B-cell lymphoma through activation of the JaK 2 / sTaT 3 pathway

and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). OncoTargets and Therapy 2016:9 5349–5360 OncoTargets and Therapy Dovepress
Teaching Real-World Applications of Business Statistics Using Communication to Scaffold Learning

Our assessment research suggests that quantitative business courses that rely primarily on algorithmic problem solving may not produce the deep learning required for addressing real-world business problems. This article illustrates a strategy, supported by recent learning theory, for promoting deep learning by moving students gradually from “well-structured” algorithmic problems with single correct answers to “ill-structured” real-world business problems that may have multiple correct answers and require an argument addressed to a specific audience. We show how these scaffolded communication assignments promote deep learning, and suggest ways that interested faculty can adapt the assignments to their own courses.
An Investigation of Comorbidity of Schizotypal and Borderline Personality Disorders with Obsessive – Compulsive Disorder and the Relationship between Their Personality Characteristics and the Severity of Obsessive – Compulsive Disorder

Introduction: In the 4 edition of Diagnostic and Statistical Manual of Mental Disorders obsessive disorders are classified as a subgroup of anxiety disorders. Magical thinking is the mutual trait between obsessivecompulsive disorder and schizotypal personality disorder. On the other hand, magical thinking is recognized as one of the main traits of obsessive-compulsive disorder. Given the fact that to date no study has investigated the comorbidity of personality disorder with obsessive-compulsive disorder (OCD) and its effect(s) on the personality disorders, the present study aims to investigate the comorbidity of schizotypal personality disorder (SPD) and borderline personality disorder (BPD) with OCD and to find out the relationship between them and the severity of OCD. Materials and Method: The current study is of descriptive, cross-sectional type. 140 patients who visited Razi Training and Medication centre and Bozorgmehr clinic in Tabriz were under study for 12 months. The patients afflicted with other mental disorders except SPD and BPD were excluded from the study. The sampling was carried out via convenience sampling method. Clinical interviews were carried out with individuals to diagnose OCD patients. Then, schizotypal personality disorder and BPD patients were diagnosed via structured clinical interviews prepared on the basis of DSM-IV-TR diagnostic criteria to assess the comorbidity of SPD and BPD with OCD. In the next phase, Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Schizotypic Syndrome Questionnaire (SSQ) and borderline personality scale (STB) were used. The obtained scores from the questionnaires were recorded to find out the relationship among SPD, BPD and the severity of OCD. Findings: According to the findings of the study the comorbidity of SPD with OCD is estimated at 41.4%, while it is estimated at 18.6% for the comorbidity of BPD with OCD. Furthermore, there is a significant and positive correlation between Yale-Brown, SPD and BPD scores of the patients (r = 0.22, P<0.01). Results: The results of the study show that first; there is a high comorbidity between SPD and OCD. Second, schizotypal and borderline personality traits contribute to the severity of OCD. Third, SPD is an effective predicator of OCD. [Dadashzadeh, H. , Alizadeh, A. , Arfaie, A. , Ranjbar, F. An Investigation of Comorbidity of Schizotypal and Borderline Personality Disorders with Obsessive–Compulsive Disorder and the Relationship between Their Personality Characteristics and the Severity of Obsessive–Compulsive Disorder. Life Sci J 2013;10(7s):1-7] (ISSN:1097-8135). http://www.lifesciencesite. com. 1
Sequential parameter and state learning in continuous time stochastic volatility models using the SMC² algorithm

In this Master’s thesis, joint sequential inference of both parameters and states of stochastic volatility models is carried out using the SMC2 algorithm found in SMC2: an efficient algorithm for sequential analysis of state-space models, Nicolas Chopin, Pierre E. Jacob, Omiros Papaspiliopoulos. The models under study are the continuous time s.v. models (i) Heston, (ii) Bates, and (iii) SVCJ, where inference is based on options prices. It is found that the SMC2 performs well for the simpler models (i) and (ii), wheras filtering in (iii) performs worse. Furthermore, it is found that the FFT option price evaluation is the most computationally demanding step, and it is suggested to explore other avenues of computation, such as GPGPU-based computing.
Automated ABR Peak Labelling Using Matched Filters

An automated Auditory Brainstem Response (ABR) peak identification and labelling system is developed and evaluated. The system uses a set of matched filters and a rule base for on-line peak labelling. The matched filters are designed to reflect the spectral and biphasic characteristics of the ABR peaks. The rules are designed to identify ABR peaks based on the latencies and amplitudes of the peaks found in the matched filter output buffers. The system is capable of automatic generation of latency-intensity functions. The algorithm was tested using 168 ABRs from four adults, yielding only 2 incorrectly labelled recordings.
Spin-orbit interaction and snake states in a graphene 
p-n
 junction

We study a model of a p-n junction in single-layer graphene in the presence of a perpendicular magnetic field and spin-orbit interactions. By solving the relevant quantum-mechanical problem for a potential step, we determine the exact spectrum of spin-resolved dispersive Landau levels. Close to zero energy, we find a pair of linearly dispersing zero modes, which possess a wave-vector-dependent spin polarization and can be regarded as quantum analogs of spinful snake states. We show that the Rashba spin-orbit interaction, in particular, produces a wave vector shift between the dispersions of these modes with observable interference effects. These effects can in principle provide a way to detect the presence of Rashba spin-orbit interaction and measure its strength. Our results suggest that a graphene p-n junction in the presence of strong spin-orbit interaction could be used as a building block in a spin field-effect transistor.
Characteristics of a bolted joint with a shape memory alloy stud

Creep is an important factor that contributes to the load loss and tightness failure of bolted joints. Retightening of the joint can be expensive, time consuming and therefore is an undesirable solution. Currently most efforts are focussed on reducing load losses directly by tightening to yield, improving material creep properties or making joints less rigid. An alternative solution of current interest is the use of bolts in shape memory alloy (SMAs). However, very few experimental studies are available that demonstrate its feasibility. The objective of this study is to exploit the benefit of the shape memory and superelasticity behaviors of a SMA stud to recover the load losses due to creep and thermal exposure of a gasket in a bolted joint assembly. This paper explores several avenues to investigate and model the thermo-mechanical properties of a bolted joint with a Nickel-Titanium SMA stud. A stiffness-based analytical model which incorporates the Likhachev model of SMA is used as a representation of an experimental bolted joint assembly. Using this model the rigidity of the experimental setup is optimized to make the best use of the SMA properties of the stud. This theoretical model is validated by a Finite Element (FE) Model using a custom FE material model which also implements the SMA material model. Finally an experimental test bench with an optimized stiffness derived from analytical simulations is used, with and without gaskets to demonstrate the ability of the SMA stud to recover load losses.
Internal Tide Breaking at Topography

Breaking internal waves drive much of the mixing in the stably stratified ocean interior. Tidal flow over topography is one source for generation of these internal waves. Numerical simulations reveal several mechanisms for breaking of internal tides, including transient hydraulic jumps, nonlinear wave-wave interactions and wave reflection from sloping and shoaling topography. In all three scenarios, the steepness of the topography has a strong influence on the wave-breaking behavior. Quantification of the net loss of energy from the internal waves to small-scale motion and dissipation, and the dependence of that dissipation on topographic parameters, stratification and flow amplitude provides guidance for parameterizations of internaltide driven mixing suitable for climate models. Coupled climate model simulations demonstrate the impact of the distribution of internal-wave driven mixing on the large-scale circulation and climate.
Numerical Solutions for Time-Fractional Cancer Invasion System With Nonlocal Diffusion

This article studies the existence and uniqueness of a weak solution of the time-fractional cancer invasion system with nonlocal diffusion operator. Existence and uniqueness results are ensured by adapting the Faedo-Galerkin method and some a priori estimates. Further, finite element numerical scheme is implemented for the considered system. Finally, various numerical computations are performed along with the convergence analysis of the scheme.
Maturation of White Adipose Tissue Function in C57BL/6j Mice From Weaning to Young Adulthood

White adipose tissue (WAT) distribution and WAT mitochondrial function contribute to total body metabolic health throughout life. Nutritional interventions starting in the postweaning period may impact later life WAT health and function. We therefore assessed changes in mitochondrial density and function markers in WAT depots of young mice. Inguinal (ING), epididymal (EPI) and retroperitoneal (RP) WAT of 21, 42 and 98 days old C57BL/6j mice was collected. Mitochondrial density [citrate synthase (CS), mtDNA] and function [subunits of oxidative phosphorylation complexes (OXPHOS)] markers were analyzed, together with gene expression of browning markers (Ucp1, Cidea). mRNA of ING WAT of 21 and 98 old mice was sequenced to further investigate functional changes of the mitochondria and alterations in cell populations. CS levels decreased significantly over time in all depots. ING showed most pronounced changes, including significantly decreased levels of OXPHOS complex I, II, and III subunits and gene expression of Ucp1 (PN21-42 and PN42-98) and Cidea (PN42-98). White adipocyte markers were higher at PN98 in ING WAT. Analyses of RNA sequence data showed that the mitochondrial functional profile changed over time from “growth-supporting” mitochondria focused on ATP production (and dissipation), to more steady-state mitochondria with more diverse functions and higher biosynthesis. Mitochondrial density and energy metabolism markers declined in all three depots over time after weaning. This was most pronounced in ING WAT and associated with reduced browning markers, increased whitening and an altered metabolism. In particular the PN21-42 period may provide a time window to study mitochondrial adaptation and effects of nutritional exposures relevant for later life metabolic health.
Overexpression of the VvSWEET4 Transporter in Grapevine Hairy Roots Increases Sugar Transport and Contents and Enhances Resistance to Pythium irregulare, a Soilborne Pathogen

Sugar transport and partitioning play key roles in the regulation of plant development and responses to biotic and abiotic factors. During plant/pathogen interactions, there is a competition for sugar that is controlled by membrane transporters and their regulation is decisive for the outcome of the interaction. SWEET sugar transporters are the targets of extracellular pathogens, which modify their expression to acquire the sugars necessary to their growth (Chen et al., 2010). The regulation of carbon allocation and sugar partitioning in the interaction between grapevine (Vitis vinifera) and its pathogens is poorly understood. We previously characterized the SWEET family in V. vinifera and showed that SWEET4 could be involved in resistance to the necrotrophic fungus Botrytis cinerea in Arabidopsis (Chong et al., 2014). To study the role of VvSWEET4 in grapevine, we produced V. vinifera cv. Syrah hairy roots overexpressing VvSWEET4 under the control of the CaMV 35S promoter (VvSWEET4OX). High levels of VvSWEET4 expression in hairy roots resulted in enhanced growth on media containing glucose or sucrose and increased contents in glucose and fructose. Sugar uptake assays further showed an improved glucose absorption in VvSWEET4 overexpressors. In parallel, we observed that VvSWEET4 expression was significantly induced after infection of wild type grapevine hairy roots with Pythium irregulare, a soilborne necrotrophic pathogen. Importantly, grapevine hairy roots overexpressing VvSWEET4 exhibited an improved resistance level to P. irregulare infection. This resistance phenotype was associated with higher glucose pools in roots after infection, higher constitutive expression of several genes involved in flavonoid biosynthesis, and higher flavanol contents. We propose that high sugar levels in VvSWEET4OX hairy roots provides a better support to the increased energy demand during pathogen infection. In addition, high sugar levels promote biosynthesis of flavonoids with antifungal properties. Overall, this work highlights the key role of sugar transport mediated by SWEET transporters for secondary metabolism regulation and pathogen resistance in grapevine.
Sef1-Regulated Iron Regulon Responds to Mitochondria-Dependent Iron–Sulfur Cluster Biosynthesis in Candida albicans

Iron homeostasis mechanisms allow the prime commensal-pathogen Candida albicans to cope with the profound shift in iron levels in the mammalian host. The regulators, Sef1 and Sfu1 influence activation and repression of genes required for iron uptake and acquisition by inducing the expression of iron regulon genes in iron-deplete conditions and inactivating them in iron-replete condition. Our study for the first time shows that C. albicans coordinates the activation of the iron regulon with the mitochondrial use of iron for Fe–S cluster biosynthesis, a cellular process that is connected to cellular iron metabolism. We took advantage of a mutant defective in mitochondrial biogenesis (fzo1Δ/Δ) to assess the aforesaid link as this mutant exhibited sustained expression of the Sef1 iron regulon, signifying an iron-starved state in the mutant. Our analysis demonstrates that mitochondrion is pivotal for regulation of Fe–S cluster synthesis such that the disruption of this cellular process in fzo1Δ/Δ cells lead to excessive mitochondrial iron accumulation and reduced activity of the Fe–S cluster-containing enzyme aconitase. Sef1 responds to defective Fe–S cluster synthesis by regulated changes in its subcellular localization; it was retained in the nucleus resulting in the induced expression of the iron regulon. We predict that the mitochondrial Fe–S assembly generates a molecule that is critical for ensuring iron-responsive transcriptional activation of the Sef1 regulon. All told, our data marks Fe–S biogenesis as a mechanism that meshes cellular iron procurement with mitochondrial iron metabolism resulting in regulating the Sef1 regulon in C. albicans.