Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing virtual storage systems: an approach using dependency analysis

We present an approach for managing the performance of virtual storage systems by experimentally identifying the dependencies that exist between various components that comprise the system. Specifically, we show how one may profile dependencies between each logical volume exported by a storage system and components that this volume uses. To do so the technique estimates the arrival rate and size of requests issued to the internal system component as a functions of arrival rate and size of requests issued to the logical volume. The complete dependency profile of the system consists of a set of such functions for READ and WRITE operations separately and for each pair: logical volume - internal system component. The empirical technique of obtaining such profiles for typical existing storage systems is presented. We propose the use of Common Information Model (CIM) as a way to express dependency and performance information in an architecture-independent manner. The dependencies between components are computed as a fraction of bandwidth that is passed on to the sub-components. We discuss how the dependency profile of the system may be used to perform root-cause analysis and early Service Level Agreement violation notification. We also demonstrate the use of the method by applying it to a Linux system using software RAID.
Interspecies scaling and prediction of human clearance: comparison of small- and macro-molecule drugs

Human clearance prediction for small- and macro-molecule drugs was evaluated and compared using various scaling methods and statistical analysis. Human clearance is generally well predicted using single or multiple species simple allometry for macro- and small-molecule drugs excreted renally. The prediction error is higher for hepatically eliminated small-molecules using single or multiple species simple allometry scaling, and it appears that the prediction error is mainly associated with drugs with low hepatic extraction ratio (Eh). The error in human clearance prediction for hepatically eliminated small-molecules was reduced using scaling methods with a correction of maximum life span (MLP) or brain weight (BRW). Human clearance of both small- and macro-molecule drugs is well predicted using the monkey liver blood flow method. Predictions using liver blood flow from other species did not work as well, especially for the small-molecule drugs.
Genetic Diversity of Borrelia burgdorferi in Lyme Disease Patients as Determined by Culture versus Direct PCR with Clinical Specimens

ABSTRACT Two hundred seventeen isolates of Borrelia burgdorferioriginally cultured from skin biopsy samples or blood of early Lyme disease patients were genetically characterized by PCR-restriction fragment length polymorphism (RFLP) typing of the 16S-23S ribosomal DNA intergenic spacer. Three major RFLP types were observed. Of the cultured isolates, 63 of 217 (29.0%) were type 1, 85 of 217 (39.2%) were type 2, and 58 of 217 (26.7%) were type 3; mixtures of two RFLP types were obtained in 6.0% (13 of 217) of the cultures. Comparison of typing of B. burgdorferi performed directly on 51 patient skin specimens with typing of cultures originally isolated from the same tissue revealed that a much larger proportion of direct tissue samples had mixtures of RFLP types (43.1% by direct typing versus 5.9% by culture [P < 0.001). In addition, identical RFLP types were observed in only 35.5% (11 of 31) of the paired samples. RFLP type 3 organisms were recovered from blood at a significantly lower rate than were either type 1 or type 2 strains. These studies demonstrate that the genetic diversity of B. burgdorferi patient isolates as determined by cultivation differs from that assessed by PCR performed directly on patient tissue.
New splitting formulations for lattice summations

We present a new formulation for the efficient evaluation of pairwise interactions for large nonperiodic or spatially periodic infinite lattices. Our optimally designed splitting formulation generalizes the Ewald method and its Gaussian core function. In particular, we show that a polynomial multiplication to the Gaussian core function can be used to formulate desired mathematical or physical characteristics into a lattice summation method. Two optimization statements are examined. The first incorporates a pairwise interaction splitting into the lattice sum, where the direct (real) and reciprocal space terms also isolate the near-field and far-field pairwise particle interactions, respectively. The second optimization defines a splitting with a rapidly convergent reciprocal space term that allows enhanced decay rates in the real-space term relative to the traditional Ewald method. These approaches require modest adaptation to the Ewald formulation and are expected to enhance performance of particle-mesh methods for large-scale systems. A motivation for future applications is large-scale biomolecular dynamics simulations using particle-mesh Ewald methods and multiple time step integration.
Transcription factor ISX mediates the cross talk between diet and immunity

Significance The intestine is the major entrance site for nutrients, electrolytes, and water while constituting an effective barrier against toxins, antigens, and enteric flora. Hence, the intestinal mucosa harbors one of the largest populations of lymphocytes in the body. Nutrients such as vitamin A have been recognized to influence gut homing and differentiation of these cells. We identified the ISX protein as a critical molecular mediator of this cross talk between diet and immunity. This transcription factor regulates vitamin A production from dietary precursor molecules. Loss of this control in mice disrupts vitamin A homeostasis and impairs immunity. Reported genetic polymorphisms in the Isx gene have been associated with inflammatory disorders in humans, indicating that our findings in mice have clinical implications. The intestinal epithelium is a major site for the conversion of dietary β-carotene to retinaldehyde by the enzyme BCO1. The majority of retinaldehyde is further metabolized to retinol (vitamin A), esterified and packaged into triacylglycerol-rich chylomicrons for bodily distribution. Some serve on-site for the synthesis of retinoic acid, a hormone-like compound, which exerts pleiotropic and dominant effects on gastrointestinal immunity. We report here that the intestine-specific homeobox protein ISX is critical to control the metabolic flow of β-carotene through this important branching point of vitamin A metabolism. This transcription factor represses Bco1 gene expression in response to retinoic acid signaling. In ISX-deficient mice, uncontrolled Bco1 gene expression led to increased retinoid production in the intestine. Systemically, this production resulted in highly elevated hepatic retinoid stores. In the intestine, it increased the expression of retinoic acid-inducible target genes such as Aldh1a2, Dhrs3, and Ccr9. The β-carotene–inducible disruption of retinoid homeostasis affected gut-homing and differentiation of lymphocytes and displayed morphologically in large lymphoid follicles along the intestine. Furthermore, it was associated with an infiltration of the pancreas by gut-derived lymphocytes that manifested as a pancreatic insulitis with β-islet cell destruction and systemic glucose intolerance. Thus, our study identifies an important molecular interlink between diet and immunity and indicates that vitamin A homeostasis must be tightly controlled by ISX to maintain immunity and tolerance at the intestinal barrier.
Iterative search with emulating nodes' local movement on range-free sensor network localization

This paper proposes an iterative evolutionary algorithm with emulating nodes' local movement for searching the best localization accuracy in range-free scenario. All localization methods face a trade-off between the solution quality and computation cost. When sensor network localization in range-free scenario is considered as a constraint satisfaction problem, localization will reach the highest accuracy but with huge computation complexity. To solve the constraint satisfaction, some characteristics that only exist in range-free localization problem are utilized as heuristics in the search of nodes' positions. They are summarized as simple and complex movement to emulate nodes' local movement, and proved to be effective to find a suitable searching direction and jump out of local-minimums existing in the localization. Those emulations are then included in each iteration of a two-objective evolutionary algorithm minimizing the number of node-pairs with violated connectivity, as well as the value quantitating how worse of the violations. Simulation results show that the proposed algorithm can greatly decrease the reach high-accurate positions within limited iterations.
Transient current testing for future CMOS technologies

In this paper we investigate the effectiveness of iDDT-based testing in detecting resistive open defects for future CMOS technologies down to 22 nm taking into consideration the wide process variations associated with such technologies. The SPICE parameters that we use for such advanced models are taken from the Predictive Technology Model (PTM) and the ranges of process variations are taken from the literature provided by industry and researchers in the field. We target resistive open defects because they are hard to detect by traditional voltage testing techniques and by IDDQ testing. Simulations results show that iDDT-based testing provides a good premise for detecting hard-to-catch defects such as resistive opens in future CMOS technologies.
Assessing in vitro solubilization potential of different zinc solubilizing bacterial (zsb) isolates

Zinc solubilizing ability of Bacillus sp. and Pseudomonas sp. was assessed using zinc oxide, zinc sulphide (sphalerite) and zinc carbonate in both plate and broth assays. ZSB-O-1 (Bacillus sp.) showed highest dissolution in the zinc sulphide (Sphalerite ore), with 2.80 cm of dissolution zone and 14.50 cm2 of area in the plate assay and 13.60 mg kg-1 of zinc in the broth assay on the 15th day after inoculation. The ZSB-S-2 (Pseudomonas sp.) showed more solubilizing ability in the zinc oxide, with 3.30 cm clearing zone and 20.43 cm2 area in the plate assay and 16.40 mg kg-1 of zinc in the broth assay over the same inoculation period. The isolate ZSB-S-4 (Pseudomonas sp.) has highest solubilizing potential in zinc carbonate with 6.20 cm of dissolution zone and 13.40 cm2 area in the plate assay and 13.40 mg kg-1 of zinc in the broth assay. Thus, the solubilization potential varies among different cultures. The solubilization might be due to production of acids by the culture, since the pH of the culture broth has been shifted form 7.0-7.3 to 4.8-6.5 after 15 days of inoculation. The zinc tolerance limit for two cultures (ZSB-O-1 and ZSB-S-2) was studied and determined to be upto 100 mg kg-1 of zinc in the in vitro broth assay.
Comparative systems of handwriting Arabic character recognition

Handwriting Arabic character recognition is one of the most challenging and complex tasks of research in Optical Character Recognition (OCR) and little research has been achieved in this area in the past few decades. This is due to the cursive nature of Arabic writing and the lack of public Arabic handwriting databases. In this paper, we present a general model of OCR system and an overview on several recently researches on offline handwriting Arabic character recognition systems. To evaluate the performance of these systems we compare their results using same database Benchmarking IFN/ENIT.
A Hybrid Framework for Semantic Relation Extraction over Enterprise Data

Relation extraction from the Web data has attracted a lot of attention in recent years. However, little work has been done when it comes to relation extraction from the enterprise data regardless of the urgent needs to such work in real applications e.g., E-discovery. One distinct characteristic of the enterprise data in comparison with the Web data is its low redundancy. Previous work on relation extraction from the Web data largely relies on the data's high redundancy level and thus cannot be applied to the enterprise data effectively. This paper proposes an unsupervised hybrid framework called REACTOR. REACTOR combines a statistical method, classification, and clustering to identify various types of relations among entities appearing in the enterprise data automatically. Furthermore, the authors explore to apply pronominal anaphora resolution to extract more relations expressed across multiple sentences. They evaluate REACTOR over a real-world enterprise data set from HP that contains over three million pages and the experimental results show the effectiveness of REACTOR.
Semantic selection of georeferencing services for urban management

Geocoding has become one of the most popular on-line services. Nowadays, there exist many Web Services providing geocoding functionality which differ not only in technological aspects (interface, invocation style, etc.) or terms of use, but also in type of geographic information provided and spatial data quality. Currently, there is no problem to find geocoding providers but to choose the proper one, which is determined by user’s requirements. The public administration is responsible for providing the official and appropriate information for citizens or deal with risk and health management issues; therefore, urban management systems require geocoding services of high quality in terms of quality of service (QoS) and spatial data. However, the present Web geocoding public market is dominated by geocoding services for average users, i.e. users that can accept low QoS or are not interested in the lineage of data. In this situation, a compound geocoder can join data from several services of geographic information and provide services oriented to the users that demand high quality, for example urban management systems. This paper presents an architectural approach for adaptive compound geocoding Web services built on diverse Web services of geographic information, such as gazetteers, cadastral services and address geocoding services. The proposed architecture is characterized by extensibility and adaptivity thanks to application of the ontologies (Administrative Unit Applied Ontology of Spain and Service Characteristic Ontology) and advances in Semantic Web related to strategies for source selection and result data evaluation, which are introduced in some details. As an example of real use case, it is presented the implementation of address geocoding compound Web service whose instances are applied in diverse tasks in urban management systems of Zaragoza City council in Spain.
Annealing Effect on (FAPbI3)1−x(MAPbBr3)x Perovskite Films in Inverted-Type Perovskite Solar Cells

This study determines the effects of annealing treatment on the structure and the optical and electronic behaviors of the mixed (FAPbI3)1−x(MAPbBr3)x perovskite system. The experimental results reveal that (FAPbI3)1−x(MAPbBr3)x (x ~ 0.2) is an effective light-absorbing material for use in inverted planar perovskite solar cells owing to its large absorbance and tunable band gap. Therefore, good band-matching between the (FAPbI3)1−x(MAPbBr3)x and C60 in photovoltaic devices can be controlled by annealing at various temperatures. Accordingly, an inverted mixed perovskite solar cell with a record efficiency of 12.0% under AM1.5G irradiation is realized.
Colour connections in e + e �-annihilationChrister

We have a very limited knowledge about how the connnement mechanism works in processes like e + e ? qqg : : :g, when there are identical colour charges. In this case the partons can be colour connected by a string or a cluster chain in several diierent ways. We do not know if in such a situation Nature chooses a particular connguration at random, or if some connguration is dynamically favoured. Also in the perturbative parton cascade we have no well founded recipe for describing the interference eeects, which correspond to non planar diagrams and are caused by identical colour charges. We have studied two diierent models, and are in particular interested in the possibility that a colour singlet gluon system hadronizes isolated from the remainder of the state. Using double tagged events with heavy cc or bb quarks, it appears to be possible to nd a signiicant signal, if such events appear in Nature. If this type of (re)connected states appear in Z decays it may also be an indication that reconnection might appear between the decay products of two W's in the reaction
Getting the Message: Framing Nutrition Labels to Increase Consumer Elaboration Likelihood

An online experiment measured perceived differences between nutrition label modifications of 946 participants divided into three groups (n=316 Control, n=308 Calories, and n=322 Percentage). One group of subjects reviewed a FDA mandated label as a control, another group a calorie label supplement, and the third group a percentage label supplement. Across the label exposure groups, significant differences were found for need for cognition on evaluation of potential outcomes. Health consciousness demonstrated a direct positive significant relationship to evaluation and focus on positive outcomes factors of the evaluation of potential outcomes scale. Interaction effects were observed between need for cognition and health consciousness between treatment groups, suggesting potential benefits from nutrition label summary supplements.
Vision-Based Target Tracking and Collision Avoidance for Two Autonomous Robotic Fish

A new type of vision-based autonomous robotic fish capable of 3-D locomotion is developed in this paper. Based on our robotic fish prototype, the forces and moments acting on its fins and body are analyzed, and the governing motion equations are derived. We further investigate a decentralized control method in target-tracking and collision-avoidance task for two autonomous robotic fish. Most of previous work on the task strategies of autonomous robots is focused on terrestrial robots and seldom deals with underwater applications due to the uncertainties and complexity in a hydro environment. To address this challenge in such an underwater task, a situated-behavior-based decentralized control is employed on each robotic fish according to its visual data. On dealing with motion planning of the fish during target tracking and collision avoidance, a control law by a combination of an attractive force toward a target and a repulsive force for collision avoidance is utilized. Experimental results of the task performed by two autonomous robotic fish validate the effectiveness of the proposed method.
Improved Intelligent Method for Traffic Flow Prediction Based on Artificial Neural Networks and Ant Colony Optimization

Real time traffic flow is often difficult to predict precisely because of the complexity, nonlinearity and uncertainty characteristics of the traffic flow data. Intelligent prediction methods such as artificial neural network (ANN), support vector machine (SVM), etc. have been proven effective to discover the nonlinear information hidden in the traffic flow data. Nevertheless, a single prediction model is difficult to ensure the prediction accuracy and efficiency. To overcome the lack of the single prediction method, this paper uses a prediction method that combining artificial neural networks (ANN) with ant colony optimization (ACO), called ANN-ACO, by exploiting complementary advantages of both approaches. Firstly, this method uses the ANN theory for data reduction pretreatment, and then constructs the traffic flow prediction model based on ACO according to the information structure. The analysis results show that the proposed method can extract the underlying rules of the testing data and decrease prediction error or better when compared with single ANN or ACO approach. Besides, the combined prediction model not only has fault tolerant and anti-jamming capability, but also can shorten the operation time and improve the speed of the system and also forecast accuracy. Hence, it can be used to forecast real-time traffic flow.
Grammatical morphology deficits in Spanish-speaking children with specific language impairment.

The focus of this study was the use of grammatical morphology by Spanish-speaking preschoolers with specific language impairment (SU). Relative to both same-age peers and younger typically developing children with similar mean lengths of utterance (MLUs), the children with SU showed more limited use of several different grammatical morphemes. These limitations were most marked for noun-related morphemes such as adjective-agreement inflections and direct object clitics. Most errors on the part of children in all groups consisted of substitutions of a form that shared most but not all of the targets grammatical features (e.g., correct tense and number but incorrect person). Number errors usually involved singular forms used in plural contexts; person errors usually involved third person forms used in first person contexts. The pattern of limitations of the children with SU suggests that, for languages such as Spanish, additional factors might have to be considered in the search for clinical markers for this disorder. Implications for evaluation and treatment of language disorders in Spanish-speaking children are also discussed.
Getting Ready for Kindergarten: Children's Progress During Head Start, FACES 2009 Report

This report describes the cognitive, social-emotional, and physical development of children who take part in the Head Start program. Focusing on children who first entered Head Start in fall 2009 and completed one or two years of the program before starting kindergarten, the authors examined progress in childrenâ€™s outcomes between Head Start entry and exit. Data for the report come from the Head Start Family and Child Experiences Survey (FACES), a periodic longitudinal study of Head Start funded by the Office of Planning, Research & Evaluation in the Administration for Children & Families, U.S. Department of Health and Human Services.
A small RNA regulates the expression of genes involved in iron metabolism in Escherichia coli

A small RNA, RyhB, was found as part of a genomewide search for novel small RNAs in Escherichia coli. The RyhB 90-nt RNA down-regulates a set of iron-storage and iron-using proteins when iron is limiting; it is itself negatively regulated by the ferric uptake repressor protein, Fur (Ferric uptake regulator). RyhB RNA levels are inversely correlated with mRNA levels for the sdhCDAB operon, encoding succinate dehydrogenase, as well as five other genes previously shown to be positively regulated by Fur by an unknown mechanism. These include two other genes encoding enzymes in the tricarboxylic acid cycle, acnA and fumA, two ferritin genes, ftnA and bfr, and a gene for superoxide dismutase, sodB. Fur positive regulation of all these genes is fully reversed in an ryhB mutant. Our results explain the previously observed inability of fur mutants to grow on succinate. RyhB requires the RNA-binding protein, Hfq, for activity. Sequences within RyhB are complementary to regions within each of the target genes, suggesting that RyhB acts as an antisense RNA. In sdhCDAB, the complementary region is at the end of the first gene of the sdhCDAB operon; full-length sdhCDAB message disappears and a truncated message, equivalent in size to the region upstream of the complementarity, is detected when RyhB is expressed. RyhB provides a mechanism for the cell to down-regulate iron-storage proteins and nonessential ironcontaining proteins when iron is limiting, thus modulating intracellular iron usage to supplement mechanisms for iron uptake directly regulated by Fur.