Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Leukemia Cells Induced by Activated Cyclophosphamide and Acrolein in Cytotoxicity , DNA Cross-Linking , and Single Strand Breaks

The in vitro cytotoxicity and mechanism of action of Cyclophosphamide (CP) were studied in a dual cell culture system, using rat hepatocytes and K562 human chronic myeloid leukemia cells. Cytotoxicity and DNA damage were measurable in KS62 cells using CP concentrations that are clinically attainable. Alkaline elution analysis of cellular DNA demon strated the presence of concentrationand time-dependent DNA interstrand cross-links, DNA-protein cross-links, and DNA single strand breaks in KS62 cells following a 1-h exposure to Cyclophosphamide activated by hepatocytes. Hepatocyte-activated CP was 3 to 4 times more potent than phosphoramide mustard with regard to cytotoxicity and induction of DNA interstrand cross-links. Exposure to phosphoramide mustard did not produce single strand breaks, but exposure of K562 cells to acrolein resulted in substantial levels of single strand breaks. The demonstration of acrolein-induced single strand breaks following exposure to activated CP is a novel finding and suggests that acrolein may have a role in the cytotoxicity of CP.
Fuzzy T-S Modeling and Fuzzy Control Research on Networked Control Systems

To solve the stability control problem of Networked Control Systems (NCS) with time delay, a new method of building a discrete fuzzy T-S model is proposed for NCS generalized plant, and the model is proved theoretically to be able to approach a real plant at an arbitrary precision. Based on the fuzzy T-S model, the sufficient stable condition of the fuzzy controller independent of time delay is deduced to be equivalent to solving a set of LMIs by state feedback, in terms of parallel distributed compensation principle, Lyapunov Theory and LMI method. Simulation results show the effectiveness of proposed modeling and control method.
Modelagem de Equações Estruturais com Mínimos Quadrados Parciais: um Exemplo daAplicação do SmartPLS® em Pesquisas em Contabilidade

In view of the Accounting academy’s increasing in the investigation of latent phenomena, researchers have used robust multivariate techniques. Although Structural Equation Models are frequently used in the international literature, however, the Accounting academy has made little use of the variant based on Partial Least Squares (PLS-SEM), mostly due to lack of knowledge on the applicability and benefits of its use for Accounting research. Even if the PLS-SEM approach is regularly used in surveys, this method is appropriate to model complex relations with multiple relationships of dependence and independence between latent variables. In that sense, it is very useful for application in experiments and file data. In that sense, a literature review is presented of Accounting studies that used the PLS-SEM technique. Next, as no specific publications were observed that exemplified the application of the technique in Accounting, a PLS-SEM application is developed to encourage exploratory research by means of the software SmartPLS®, being particularly useful to graduate students. Therefore, the main contribution of this article is methodological, given its objective to clearly identify the guidelines for the appropriate use of PLS. By presenting an example of how to conduct an exploratory research using PLS-SEM, the intention is to contribute to researchers’ enhanced understanding of how to use and report on the technique in their research.
Elsevier Editorial System(tm) for Information Sciences Title: Model, Solution Concept and the Kth-best Algorithm for Linear Tri-level Programming Cover Letter an Original Article Statement Model, Solution Concept and the Kth-best Algorithm for Linear Tri-level Programming

The paper we are herewith submitting is entitled " Model, Solution Concept and the Kth-Best Algorithm for Linear Tri-level Programming " This manuscript is the authors' original work and has not been published nor has it been submitted simultaneously elsewhere. All authors have checked the manuscript and have agreed to the submission. Abstract Tri-level programming deals with hierarchical optimization problems in which the top-level decision maker attempts to optimize his or her objective, but subjects it to a set of constraints and the reactions of decision makers at the middle-level and bottom-level. The middle-level's decision is at the same time influenced by the reactions of the bottom decision maker. To describe and solve this complex issue, this paper first proposes a tri-level programming model and a set of linear tri-level programming (LTLP) solution concepts. It then presents a Kth-best algorithm to solve the linear tri-level programming problems. Finally, a case-based example further illustrates the proposed model, solution concept and algorithm.
Genetic algorithm cryptanalysis of a feistel type block cipher

In this paper, a method to discover the key of a Feistel Cipher (FC) using Genetic Algorithms is described. A Jitness measure based on the differential characteristics of the FC is proposed and complete problem formulation is described. The complexity of the proposed attack is shown to be less than half of normal differential cryptanalysis of the same FC.
International Spread and Persistence of TEM-24 Is Caused by the Confluence of Highly Penetrating Enterobacteriaceae Clones and an IncA/C2 Plasmid Containing Tn1696::Tn1 and IS5075-Tn21

ABSTRACT TEM-24 remains one of the most widespread TEM-type extended-spectrum β-lactamases (ESBLs) among Enterobacteriaceae. To analyze the reasons influencing its spread and persistence, a multilevel population genetics study was carried out on 28 representative TEM-24 producers from Belgium, France, Portugal, and Spain (13 Enterobacter aerogenes isolates, 6 Escherichia coli isolates, 6 Klebsiella pneumoniae isolates, 2 Proteus mirabilis isolates, and 1 Klebsiella oxytoca isolate, from 1998 to 2004). Clonal relatedness (XbaI pulsed-field gel electrophoresis [PFGE] and E. coli phylogroups) and antibiotic susceptibility were determined by standard procedures. Plasmid analysis included determination of the incompatibility group (by PCR, hybridization, and/or sequencing) and comparison of restriction fragment length polymorphism (RFLP) patterns. Characterization of genetic elements conferring antibiotic resistance included integrons (classes 1, 2, and 3) and transposons (Tn3, Tn21, and Tn402). Similar PFGE patterns were identified among E. aerogenes, K. pneumoniae, and P. mirabilis isolates, while E. coli strains were diverse (phylogenetic groups A, B2, and D). Highly related 180-kb IncA/C2 plasmids conferring resistance to kanamycin, tobramycin, chloramphenicol, trimethoprim, and sulfonamides were identified. Each plasmid contained defective In0-Tn402 (dfrA1-aadA1, aacA4, or aacA4-aacC1-orfE-aadA2-cmlA1) and In4-Tn402 (aacA4 or dfrA1-aadA1) variants. These integrons were located within Tn21, Tn1696, or hybrids of these transposons, with IS5075 interrupting their IRtnp and IRmer. In all cases, blaTEM-24 was part of an IS5075-ΔTn1 transposon within tnp1696, mimicking other genetic elements containing blaTEM-2 and blaTEM-3 variants. The international dissemination of TEM-24 is fuelled by an IncA/C2 plasmid acquired by different enterobacterial clones which seem to evolve by gaining diverse genetic elements. This work highlights the risks of a confluence between highly penetrating clones and highly promiscuous plasmids in the spread of antibiotic resistance, and it contributes to the elucidation of the origin and evolution of TEM-2 ESBL derivatives.
The environmental impact of the Virgo Cluster on the evolution of dwarf irregular galaxies

The impact of the cluster environment on the evolution of dwarf galaxies is investigated by comparing the properties of a sample of dwarf irregulars (dIs) in the Virgo Cluster with a control sample of nearby (“field”) dIs having oxygen abundances derived from [O III]λ4363 measurements and measured distances from resolved stellar constituents. Spectroscopic data are obtained for H II regions in 11 Virgo dIs distributed in the central and outer regions of the cluster. To ensure that oxygen abundances are derived in a homogeneous manner, oxygen abundances for field and Virgo dIs are computed using the bright-line method and compared with abundances directly obtained from [O III]λ4363, where available. They are found to agree to within about 0.2 dex with no systematic offset. At a given optical luminosity, there is no systematic difference in oxygen abundance between the sample of Virgo dIs and the sample of nearby dIs. However, five of the eleven Virgo dIs exhibit much lower baryonic gas fractions than field dIs at comparable oxygen abundances. Using field dIs as a reference, a gas-deficiency index for dIs is constructed, making it possible quantitatively to identify which galaxies have lost gas. For the Virgo sample, some of the dwarfs are gas-deficient by a factor of 30. The gas-deficiency correlates roughly with the X-ray surface brightness of the intracluster gas. Ram-pressure stripping can best explain the observed gas-poor dIs in the cluster sample. Together with the lack of significant fading and reddening of the gas-poor dIs compared to gas-normal dIs, these observations suggest that the gas-poor dIs in Virgo have recently encountered the intracluster medium for the first time. Faded remnants of gas-poor dIs in Virgo will resemble bright dwarf ellipticals presently seen in the cluster core. Subject headings: galaxies: abundances — galaxies: clusters: individual (Virgo) — galaxies: dwarf — galaxies: evolution — galaxies: irregular
Differential patterns of functional and structural plasticity within and between inferior frontal gyri support training‐induced improvements in inhibitory control proficiency

Ample evidence indicates that inhibitory control (IC), a key executive component referring to the ability to suppress cognitive or motor processes, relies on a right‐lateralized fronto‐basal brain network. However, whether and how IC can be improved with training and the underlying neuroplastic mechanisms remains largely unresolved. We used functional and structural magnetic resonance imaging to measure the effects of 2 weeks of training with a Go/NoGo task specifically designed to improve frontal top‐down IC mechanisms. The training‐induced behavioral improvements were accompanied by a decrease in neural activity to inhibition trials within the right pars opercularis and triangularis, and in the left pars orbitalis of the inferior frontal gyri. Analyses of changes in brain anatomy induced by the IC training revealed increases in grey matter volume in the right pars orbitalis and modulations of white matter microstructure in the right pars triangularis. The task‐specificity of the effects of training was confirmed by an absence of change in neural activity to a control working memory task. Our combined anatomical and functional findings indicate that differential patterns of functional and structural plasticity between and within inferior frontal gyri enhanced the speed of top‐down inhibition processes and in turn IC proficiency. The results suggest that training‐based interventions might help overcoming the anatomic and functional deficits of inferior frontal gyri manifesting in inhibition‐related clinical conditions. More generally, we demonstrate how multimodal neuroimaging investigations of training‐induced neuroplasticity enable revealing novel anatomo‐functional dissociations within frontal executive brain networks. Hum Brain Mapp 36:2527–2543, 2015. © 2015 Wiley Periodicals, Inc.
Searching and Ranking Educational Resources based on Terms Clustering

Open Educational Resources (OER) are important digital assets used for teaching and learning. There exists different repositories, but searching for such items is often a difficult task. On one hand, most part of the solutions implement engines with syntactic search based on term frequency metrics, or using the only item’s metadata. On the other hand, the utilization of terms clustering (TC) have been used in other search and ranking contexts and they have shown to be effective. In this paper, we present an approach for searching and ranking for Open Educational Resources within a repository of objects, defining a set of tasks and an hybrid metric that integrates different ranking metrics obtained through terms clustering with the results of existing search engines (SE). We present an extensive implementation and experiments to validate our approach. The results empirically showed that our approach is effective to rank relevant OERs.
The Equity Premium, Long-Run Risk, & Optimal Monetary Policy

In this study I examine the welfare implications of monetary policy by constructing a novel New Keynesian model that properly accounts for asset pricing facts. I find that the Ramsey optimal monetary policy yields an inflation rate above 3.5% and inflation volatility close to 1.5%. The same model calibrated to a counterfactually low equity premium implies an optimal inflation rate close to zero and inflation volatility less than 10 basis points, consistent with much of the existing literature. Relatively higher optimal inflation is due to the greater welfare costs of recessions associated with matching the equity premium. Additionally, the second order approximation allows monetary policy to have positive welfare effects on the labor share of income. I show that this channel is generally absent in standard macroeconomic models that do not take risk into account. Furthermore, the interest rate rule that comes closest to matching the dynamics of the optimal Ramsey policy puts a sizable weight on capital growth along with the price of capital, as it emphasizes stabilizing the medium to long term over the very short run.
Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping

Heterogeneous and incomplete datasets are common in many real-world visualisation applications. The probabilistic nature of the Generative Topographic Mapping (GTM), which was originally developed for complete continuous data, can be extended to model heterogeneous (i.e. containing both continuous and discrete values) and missing data. This paper describes and assesses the resulting model on both synthetic and real-world heterogeneous data with missing values.
A constructive fixed-point theorem and the feedback semantics of timed systems

Deterministic timed systems can be modeled as fixed point problems (B. Roscoe and G. Reed, 1988), (R. K. Yates, 1993), (E. A. Lee, 1999). In particular, any connected network of timed systems can be modeled as a single system with feedback, and the system behavior is the fixed point of the corresponding system equation, when it exists. For delta-causal systems, we can use the Cantor metric to measure the distance between signals and the Banach fixed-point theorem to prove the existence and uniqueness of a system behavior. Moreover, the Banach fixed-point theorem is constructive: it provides a method to construct the unique fixed point through iteration. In this paper, we extend this result to systems modeled with the superdense model of time (O. Maler et al., 1992), (Z. Manna and A. Pnueli, 1993) used in hybrid systems. We call the systems we consider eventually delta-causal, a strict generalization of delta-causal in which multiple events may be generated on a signal in zero time. With this model of time, we can use a generalized ultrametric (Generalized ultrametric spaces, I, 1996) instead of a metric to model the distance between signals. The existence and uniqueness of behaviors for such systems comes from the fixed-point theorem of (S. Priess-Crampe and P. Ribenboim, 1993), but this theorem gives no constructive method to compute the fixed point This leads us to define petrics, a generalization of metrics, which we use to generalize the Banach fixed-point theorem to provide a constructive fixed-point theorem. This new fixed-point theorem allows us to construct the unique behavior of eventually delta-causal systems
A Case of Spinal Cord Infarction Following Lumbar Transforaminal Epidural Steroid Injection: MR Imaging and Angiographic Findings

SUMMARY: Spinal cord infarction following lumbar transforaminal epidural steroid injection is a rare and devastating complication. We describe the case of a 55-year-old woman who developed spinal cord infarction following right L2-3 transforaminal epidural injection, diagnosed on the basis of clinical and MR imaging findings. Spinal angiography demonstrated occlusion of the right L2 segmental artery with reconstitution of the radicular branch from collaterals. The artery of Adamkeiwicz could not be demonstrated and was presumably occluded by the steroid injection.
A checkpointing tool for Palm operating system

It is foreseeable that handheld devices will be involved in the arena of distributed computing in the near future. To provide a dependable computing environment, check-pointing and rollback recovery is a useful and important technique for fault-tolerant distributed computing systems. For the most popular platform among handhelds, Palm OS, its built-in HotSync tool can take a partial snapshot of a system state, but it synchronizes only the static data in the handheld with a PC. All dynamic data of applications are lost if a failure occurs and the Palm OS is reset. In order to accommodate mobile computing devices with checkpointing and rollback recovery capability, dynamic data such as global variables should be checkpointed to tolerate system reset/crash failure. Therefore, we developed a checkpointing tool, which provides a set of APIs to checkpoint Palm applications. Using the checkpointing tool, dynamic data in a Palm device can be saved and recovered from a system reset. We describe the tool and demonstrate its usefulness in four popular Palm applications.
ICT: System Description for CoNLL-2012

In this paper, we present our system description for the CoNLL-2012 coreference resolution task on English, Chinese and Arabic. We investigate a projection-based model in which we first translate Chinese and Arabic into English, run a publicly available coreference system, and then use a new projection algorithm to map the coreferring entities back from English into mention candidates detected in the Chinese and Arabic source. We compare to a baseline that just runs the English coreference system on the supplied parses for Chinese and Arabic. Because our method does not beat the baseline system on the development set, we submit outputs generated by the baseline system as our final submission.
Instruction-level power dissipation in the Intel XScale embedded microprocessor

We present an instruction-level power dissipation model of the Intel XScale microprocessor. The XScale implements the ARM ISA, but uses an aggressive microarchitecture and a SIMD Wireless MMX co-processor to speed up execution of multimedia workloads in the embedded domain. Instruction-Level power modelling was first proposed by Tiwari et. al in 1994. Adaptations of this model have been found to be applicable to simple ARM processors. Research also shows that instructions can be clustered into groups with similar energy characteristics. We adapt these methodologies to the significantly more complex XScale processor. We characterize the processor in terms of the energy costs of opcode execution, operand values, pipeline stalls etc. through accurate measurements on hardware. This instruction-based (rather than microarchitectural) approach allows us to build a high-speed power-accurate simulator that runs at MIPS-range speeds, while achieving accuracy better than 5%. The processor core accounts only for a portion of overall power consumption, and we move beyond the core to explore the issues involved in building a SystemC simulation framework that models power dissipation of complete systems quickly, flexibly and accurately.
A Conceptual Approach to Temporal Weighted Item set Utility Mining

Conventional Frequent pattern mining discovers patterns in transaction databases based only on the relative frequency of occurrence of items without considering their utility. Until recently, rarity has not received much attention in the context of data mining. For many real world applications, however, utility of itemsets based on cost, profit or revenue is of importance.
Asymptotic properties of bridge estimators in sparse high-dimensional regression models

We study the asymptotic properties of bridge estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase to infinity with the sample size. We are particularly interested in the use of bridge estimators to distinguish between covariates whose coefficients are zero and covariates whose coefficients are nonzero. We show that under appropriate conditions, bridge estimators correctly select covariates with nonzero coefficients with probability converging to one and that the estimators of nonzero coefficients have the same asymptotic distribution that they would have if the zero coefficients were known in advance. Thus, bridge estimators have an oracle property in the sense of Fan and Li [J. Amer. Statist. Assoc. 96 (2001) 1348-1360] and Fan and Peng [Ann. Statist. 32 (2004) 928-961]. In general, the oracle property holds only if the number of covariates is smaller than the sample size. However, under a partial orthogonality condition in which the covariates of the zero coefficients are uncorrelated or weakly correlated with the covariates of nonzero coefficients, we show that marginal bridge estimators can correctly distinguish between covariates with nonzero and zero coefficients with probability converging to one even when the number of covariates is greater than the sample size.
Super actors for real time

The paper proposes a novel approach, SART, to the development of real-time systems which is based on super actors, i.e., actors whose behaviour is modelled by statecharts. SART borrows structural concepts from known methods for reactive systems like ROOM and UML-RT, and favours ease of construction by making actors reusable and composable software components. The distinguishing factors of SART are its modularisation of timing constraints and customisable scheduling algorithm. Application actors are not aware of timing requirements. RTsynchronizers capture timing constraints in groups of actors, filter relevant messages and control their scheduling. Time clauses of causally connected messages in system interactions are directly derived from the declarative specification of end-to-end timing constraints. SART supports both prototyping and real-time execution modes. A SART graphical development environment supporting modelling, temporal property checking and code generation has been implemented in Java.
Towards Efficient Locality Aware Parallel Data Stream Processing

Parallel data processing and parallel streaming systems become quite pop- ular. They are employed in various domains such as real-time signal processing, OLAP database systems, or high performance data extraction. One of the key components of these systems is the task scheduler which plans and executes tasks spawned by the application on available CPU cores. The multiprocessor systems and CPU architecture of the day become quite complex, which makes the task scheduling a challenging prob- lem. In this paper, we propose a novel task scheduling strategy for parallel data stream systems, that reflects many technical issues of the current hardware. In addition, we have implemented a NUMA aware memory allocator that improves data locality in NUMA systems. The proposed task scheduler combined with the new memory alloca- tor achieve up to 3× speed up on a NUMA system and up to 10% speed up on an older SMP system with respect to the unoptimized versions of the scheduler and allo- cator. Many of the ideas implemented in our parallel framework may be adopted for task scheduling in other domains that focus on different priorities or employ additional constraints.