Miracle-dz/UniFAR-FTUs huggingface dataset:
Almost complete address translation (ACATS) disk array declustering

We present a novel declustering scheme (ACATS) for reliability stripes in an orthogonal disk array. Our scheme is deterministic, run-time efficient and provides frequently the best possible and always an almost best possible distribution of failure-induced incremental rebuild workloads. Our scheme provides protection against single disk as well as single string failures within the disk array. Our approach presents a framework in which the Level 5 RAID organization logically appears as a Level 4 RAID; it facilitates the provision of distributed sparing in exactly the same manner ACATS does not require the existence of a suitably configured block design or of a run-time efficient pseudo-random number generator; it is applicable to arbitrarily configured orthogonal disk arrays. Our scheme is faster than declustering schemes that use pseudo-random permutations and achieves better uniformity of disk loads during a disk rebuild; it is simpler than schemes based on block designs. ACATS provides a rich spectrum of declustering schemes.
Modeling and design of magnetic sugar particles manipulation system for fabrication of vascular scaffold

This paper reports a magnetic steering method for controlled porogen fabrication of scaffold for blood vessel regeneration. The method described involves generating gradient magnetic field by a combination structure of Helmholtz coils and Maxwell coils to propel particularly prepared magnetic sugar particles (MSPs) moving in fluid environment at desired trajectory and forming a specified 3D shape as templates for particulate leaching. The movement properties of MSP are theoretically analyzed and the corresponding dynamic mechanics model is established. Further the magnetic field distributions inside the combined coils are calculated and optimal control parameters of coils configuration are obtained. Preliminary motion control experiment is also conducted to prove the feasibility of proposed method. The result demonstrates that MSP cluster can be manipulated with average speed of 0.25 mm/s for a cluster of 12 MSPs and 0.116 mm/s for a cluster of 37 MSPs with the proposed coil system and used for improving interconnection of MSP dot patterns.
Six out of equilibrium lectures

Index: 1) Trajectories, distributions and path integrals. 2) Time-reversal and Equilibrium 3) Separation of timescales 4) Large Deviations 5) Metastability and dynamical phase transitions 6) Fluctuation Theorems and Jarzynski equality
Adaptación para adolescentes de la versión española del NEO PI-R (JS NEO)

Junior version of the Spanish NEO PI-R (JS NEO). This article presents the preliminary data of the development of a Junior version of the Spanish NEO PI-R (JS NEO), suitable for teenagers from 12 to 17 years of age. From the 240 original English items, 92 were modified or reworded to some degree to make the vocabulary adequate for this age group. The psychometric properties of the JS NEO were investigated in a sample of 2,505 adolescents. Results showed that the adult NEO PI-R factor structure was replicated in the junior version of the inventory. Internal consistency and temporal stability reliabilities of the scales were adequate for most scales. Furthermore, the cross-form correlations between the junior (JS NEO) and the adult (NEO PI-R) scales indicated satisfactory construct validity of the junior version of the inventory.
The IWSLT Evaluation Campaign: Challenges, Achievements, Future Directions

Evaluation campaigns are the most successful modality for promoting the assessment of the state of the art of a ﬁeld on a speciﬁc task. Within the ﬁeld of Machine Translation (MT), the International Workshop on Spoken Language Translation (IWSLT) is a yearly scientiﬁc workshop, associated with an open evaluation campaign on spoken language translation. The IWSLT campaign, which is the only one addressing speech translation, started in 2004 and will feature its 13th installment in 2016. Since its beginning, the campaign attracted around 70 different participating teams from all over the world. In this paper we present the main characteristics of the tasks offered within IWSLT, as well as the evaluation framework adopted and the data made available to the research community. We also analyse and discuss the progress made by the systems along the years for the most addressed and long-standing tasks and we share ideas about new challenging data and interesting application scenarios to test the utility of MT systems in real tasks.
Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data

The threat of malicious insider activity continues to be of paramount concern in both the public and private sectors. Though there is great interest in advancing the state of the art in predicting and stopping these threats, the difficulty of obtaining suitable data for research, development, and testing remains a significant hinderance. We outline the use of synthetic data to enable progress in one research program, while discussing the benefits and limitations of synthetic insider threat data, the meaning of realism in this context, as well as future research directions.
Relating IS capability to IS rent: Towards understanding the underlying mechanisms

Peppard and Ward (2004) have instigated the development of the concept of IS capability based on Resource-based Theory (RBT). The goal of this paper is to add scrutiny to their initiative by drawing on the complementarities between RBT and Industrial Economics, and by focusing explicitly on the mechanisms around information that lead to IS-based rents. We introduce an IS rent framework with IS rent as dependent variable for IS capability and four corresponding propositions on the decision-making around how firms address IS rent opportunities. This framework allows us to test whether firms with a presumed IS capability actually display IS rent-seeking behaviour.
Learning and the Development of Contexts for Action

Neurophysiological evidence from animal studies suggests that frontal corticolimbic systems support early stages of learning, whereas later stages involve context representation formed in hippocampus and posterior cingulate cortex. In dense-array EEG studies of human learning, we observed brain activity in medial prefrontal cortex (the medial frontal negativity or MFN) was not only observed in early stages, but, surprisingly, continued to increase as learning progressed. In the present study we investigated this finding by examining MFN amplitude as participants learned an arbitrary associative learning task over three sessions. On the fourth session the same task with new stimuli was presented to assess changes in MFN amplitude. The results showed that MFN amplitude continued to increase with practice over the first three sessions, in contrast to P3 amplitudes. Even when participants were presented with new stimuli in session 4, MFN amplitude was larger than that observed in the first session. Furthermore, MFN activity from the third session predicted learning rate in the fourth session. The results point to an interaction between early and late stages in which learning results in corticolimbic consolidation of cognitive context models that facilitate new learning in similar contexts.
Multicriteria neural network design in the speech-based emotion recognition problem

In this paper we introduce the two-criterion optimization model to design multilayer perceptrons taking into account two objectives, which are the classification accuracy and computational complexity. Using this technique, it is possible to simplify the structure of neural network classifiers and at the same time to keep high classification accuracy. The main benefits of the approach proposed are related to the automatic choice of activation functions, the possibility of generating the ensemble of classifiers, and the embedded feature selection procedure. The cooperative multi-objective genetic algorithm is used as an optimizer to determine the Pareto set approximation in the two-criterion problem. The effectiveness of this approach is investigated on the speech-based emotion recognition problem. According to the results obtained, the usage of the proposed technique might lead to the generation of classifiers comprised by fewer neurons in the input and hidden layers, in contrast to conventional models, and to an increase in the emotion recognition accuracy by up to a 4.25% relative improvement due to the application of the ensemble of classifiers.
Supporting scientific modeling practices in atmospheric sciences: intended and actual affordances of a computer-based modeling tool

Computer-based learning tools include design features to enhance learning but learners may not always perceive the existence of these features and use them in desirable ways. There might be a gap between what the tool features are designed to offer (intended affordance) and what they are actually used (actual affordance). This study thus aims at investigating how the design features of a computer-based tool supported high school students' modeling practices in atmospheric sciences. Twenty-three 10th graders participated in 16 hours of learning activities by using the tool. We conducted a detailed analysis of students' computer activities, their use of the design features, and their building, testing, analyzing, and evaluating practices. The analysis showed that while some design features such as Variable List and Testing Variables were perceived by students and successfully afforded their enactment of building and analyzing practices, other features including Screen Shot and Edit were rarely used or not utilized in the desirable ways. Based on the findings, this study suggests that the realization of intended affordances may involve factors of learners' characteristics, the nature of learning activities, and the complexity of tasks, and constructs an affordance analysis scheme to inform the design of computer-based learning tools.
Metadata production framework (MPF) version 2.0: designed for effective generation of content-based metadata

In this paper, we describe the latest specifications of the Metadata Production Framework (MPF) and its reference software with which the basic functionality of MPF can be tested over networks. MPF was originally designed as an efficient environment for generating metadata for TV programs from the viewpoint of the broadcaster, but recent developments indicate that the domains where MPF can be applied have expanded to include even ordinary households. This trend suggests that the metadata market might be much bigger in the near future, and we believe MPF can become an infrastructure standard in these circumstances.
Clinic-Based Mobile Health Decision Support to Enhance Adult Epilepsy Self-Management: An Intervention Mapping Approach

Introduction Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient’s epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient’s needs, and increase the patient’s self-efficacy to achieve those goals. Methods The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.
The Fusiform Face Area: In Quest of Holistic Face Processing

What role do external facial features (hair, moustaches, beards, etc.) play in face recognition? Many of us have experienced the difficulty of recognizing a friend or a colleague who had changed her hairstyle or had shaved his beard. Such a change seems like not just a change in the facial hair, but
IgG Subclass and Heavy Chain Domains Contribute to Binding and Protection by mAbs to the Poly γ-D-glutamic Acid Capsular Antigen of Bacillus anthracis

Bacterial capsules are common targets for antibody-mediated immunity. The capsule of Bacillus anthracis is unusual among capsules because it is composed of a polymer of poly-γ-d-glutamic acid (γdPGA). We previously generated murine IgG3 monoclonal antibodies (mAbs) to γdPGA that were protective in a murine model of pulmonary anthrax. IgG3 antibodies are characteristic of the murine response to polysaccharide antigens. The goal of the present study was to produce subclass switch variants of the γdPGA mAbs (IgG3→IgG1→IgG2b→IgG2a) and assess the contribution of subclass to antibody affinity and protection. Subclass switch antibodies had identical variable regions but differed in their heavy chains. The results showed that a switch from the protective IgG3 to IgG1, IgG2b or IgG2a was accompanied by i) a loss of protective activity ii) a change in mAb binding to the capsular matrix, and iii) a loss of affinity. These results identify a role for the heavy chain constant region in mAb binding. Hybrid mAbs were constructed in which the CH1, CH2 or CH3 heavy chain constant domains from a non-protective, low binding IgG2b mAb were swapped into the protective IgG3 mAb. The IgG3 mAb that contained the CH1 domain from IgG2b showed no loss of affinity or protection. In contrast, swapping the CH2 or CH3 domains from IgG2b into IgG3 produced a reduction in affinity and a loss of protection. These studies identify a role for the constant region of IgG heavy chains in affinity and protection against an encapsulated bacterial pathogen.
Mining Allocating Patterns in One-Sum Weighted Items

An association rule (AR) is a common knowledge model in data mining that describes an implicative co-occurring relationship between two disjoint sets of binary-valued transaction database attributes (items), expressed in the form of an "antecedent rArr consequent" rule. A variant of the AR is the weighted association rule (WAR). With regard to a marketing context, this paper introduces a new knowledge model in data mining - allocating pattern (ALP). An ALP is a special form of WAR, where each rule item is associated with a weighting score between 0 and 1, and the sum of all rule item scores is 1. It can not only indicate the implicative co-occurring relationship between two (disjoint) sets of items in a weighted setting, but also inform the "allocating" relationship among rule items. ALPs can be demonstrated to be applicable in marketing and possibly a surprising variety of other areas. We further propose an apriori based algorithm to extract hidden and interesting ALPs from a "one-sum" weighted transaction database. The experimental results show the effectiveness of the proposed algorithm.
Rational agent based multiple concurrent and complex concession for service composition and discovery

Cloud service search engine play a vital role in day to day life on internet. This search engine is specialized for discovering suitable cloud services on behalf of client. There are lot of Search engines available, In the existing system they focuses only on service negotiation and compare similar cloud entries that leads to inefficient service search result and inappropriate client services to the client. To enhance the accuracy of search result we introduce an algorithm named as Rational Coordination Algorithm. This Algorithm defines the service discovery of most appropriate search result based on user rating, availability, specialized requirements, serviceable requirements and financial requirements. In this proposed work we are going to use Rational Agent to compare not only the specification criteria but also compare the availability, size, price concession and rating that to efficiently provide most appropriate client services to the client. This makes the client more efficient and effective while searching the services in the cloud environment.
Transradial versus transfemoral approach for primary percutaneous coronary interventions in elderly patients.

BACKGROUND The use of transradial approach (TRA) in the STEMI setting is still debated because of the worry that TRA intervention can lead to a delay in the reperfusion time, especially in the elderly, where more advanced atherosclerosis is usually encountered. The aim of this study is to compare the reperfusion time between radial versus femoral approach in patients older than 75 years of age undergoing primary percutaneous coronary intervention (PCI). METHODS From January 2008 to December 2011, a total of 283 consecutive patients older than 75 years of age underwent primary PCI at our institution. Of these, 177 were treated using the TRA while the remaining 106 had the transfemoral approach (TFA). Demographic and procedural data including door-to-balloon time, time of arterial puncture, and inflation of the balloon were recorded. RESULTS Door-to-balloon time was 103.1 ± 58.4 minutes in the TRA group compared with 110.3 ± 62.4 minutes in the TFA group (P=NS). Time of arterial puncture was 10.6 ± 4.1 minutes in the TRA group compared with 12.1 ± 4.5 minutes in the TFA group (P<.01). Time of balloon inflation was 19.6 ± 8.7 minutes in the TRA group compared with 24.2 ± 14.9 minutes in the TFA group (P<.01). CONCLUSIONS Our data suggest that the radial approach does not lead to a lengthening of the door-to-balloon time, suggesting the efficacy of this approach in STEMI patients without cardiogenic shock at presentation.
On two terminal interactive source coding for function computation with remote sources

In this paper, we study a setting in which two terminals A and B respectively observe, or measure, noisy versions X̃ and Ỹ of two memoryless, possibly statistically dependent, remote sources X and Y; and they interact bidirectionally in the aim of computing functions of the remote sources. Focusing on a distributed source coding formulation, we establish characterizations of the rate-distortion region and the minimum sum-rate for any finite number of messages. This generalizes Ma and Ishwar's two-terminal function computation result to the case of remote sources. Furthermore, in the case in which the computation is performed at only one side, we establish upper bounds on the maximum gain that can be brought up by the interaction in terms of the minimum sum rate improvement for a given average distortion. We also apply the results to some important special cases, thus allowing us to gain some fundamental insights on the benefits of the interaction for both lossless and lossy function computations in these cases.
Set point regulation of an EGR valve using a FORE with hybrid input bias estimation

In this paper we propose a hybrid control system performing set-point regulation of an Exhaust Gas Recirculation (EGR) valve of a Diesel engine. The control technique is based on a First Order Reset Element (FORE) embedded with an adaptive feedforward action whose aim is to provide asymptotic rejection of disturbances acting at the plant input. The feedforward action is adapted by suitable resetting laws occurring whenever the FORE is reset to zero. We first provide a formal analysis of the effectiveness of the adaptive reset system to guarantee asymptotic set-point regulation, and then we illustrate how the adaptive feedforward can be parametrized for improved transient performance. The proposed scheme is then illustrated via suitable laboratory experiments on an EGR valve in a few different operating conditions.
PHYLOGENOMICS REVEALS EXTENSIVE RETICULATE EVOLUTION IN XIPHOPHORUS FISHES

Hybridization is increasingly being recognized as a widespread process, even between ecologically and behaviorally divergent animal species. Determining phylogenetic relationships in the presence of hybridization remains a major challenge for evolutionary biologists, but advances in sequencing technology and phylogenetic techniques are beginning to address these challenges. Here we reconstruct evolutionary relationships among swordtails and platyfishes (Xiphophorus: Poeciliidae), a group of species characterized by remarkable morphological diversity and behavioral barriers to interspecific mating. Past attempts to reconstruct phylogenetic relationships within Xiphophorus have produced conflicting results. Because many of the 26 species in the genus are interfertile, these conflicts are likely due to hybridization. Using genomic data, we resolve a high‐confidence species tree of Xiphophorus that accounts for both incomplete lineage sorting and hybridization. Our results allow us to reexamine a long‐standing controversy about the evolution of the sexually selected sword in Xiphophorus, and demonstrate that hybridization has been strikingly widespread in the evolutionary history of this genus.
Four-Wire Interface ASIC for a Multi-Implant Link

This paper describes an on-chip interface for recovering power and providing full-duplex communication over an AC-coupled 4-wire lead between active implantable devices. The target application requires two modules to be implanted in the brain (cortex) and upper chest; connected via a subcutaneous lead. The brain implant consists of multiple identical “optrodes” that facilitate a bidirectional neural interface (electrical recording and optical stimulation), and the chest implant contains the power source (battery) and processor module. The proposed interface is integrated within each optrode ASIC allowing full-duplex and fully-differential communication based on Manchester encoding. The system features a head-to-chest uplink data rate (up to 1.6 Mbps) that is higher than that of the chest-to-head downlink (100 kbps), which is superimposed on a power carrier. On-chip power management provides an unregulated 5-V dc supply with up to 2.5-mA output current for stimulation, and two regulated voltages (3.3 and 3 V) with 60-dB power supply rejection ratio for recording and logic circuits. The 4-wire ASIC has been implemented in a 0.35-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology, occup-ying a 1.5-mm<sup>2</sup> silicon area, and consumes a quiescent current of <inline-formula> <tex-math notation="LaTeX">$91.2~\mu \text{A}$ </tex-math></inline-formula>. The system allows power transmission with measured efficiency of up to 66% from the chest to the brain implant. The downlink and uplink communication are successfully tested in a system with two optrodes and through a 4-wire implantable lead.
Complete mitogenome of the ixodid tick Ixodes pavlovskyi (Acari: Ixodida)

Abstract Here, we present complete mitochondrial DNA sequence of Ixodes pavlovskyi Pom. , 1946 for the first time. The mitogenome is 14,575 bp in length and contains 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes and a control region. The overall base composition is 40.1% T, 13.8% C, 37.9% A and 8.1% G. Four protein-coding genes are initiated by ATT codon, three genes – by ATA codon and ATG start codon is found for six genes. Only tRNA-Lys, tRNA-Ile, tRNA-Arg are folded into the cloverleaf secondary structure, other tRNA have atypical structure with reduced T- or D-arms.