Miracle-dz/UniFAR-FTUs huggingface dataset:
Zest Checkpoint storage system for large supercomputers

The PSC has developed a prototype distributed file system infrastructure that vastly accelerates aggregated write bandwidth on large compute platforms. Write bandwidth, more than read bandwidth, is the dominant bottleneck in HPC I/O scenarios due to writing checkpoint data, visualization data and post-processing (multi-stage) data. We have prototyped a scalable solution that will be directly applicable to future petascale compute platforms having of order 10^6 cores. Our design emphasizes high-efficiency scalability, low-cost commodity components, lightweight software layers, end-to-end parallelism, client-side caching and software parity, and a unique model of load-balancing outgoing I/O onto high-speed intermediate storage followed by asynchronous reconstruction to a 3rd-party parallel file system.
Evaluation of the jelly processing potential of raspberries adapted in Brazil.

UNLABELLED Generally raspberry products as jams, jellies, and preserves are made with red raspberry, however, yellow raspberry and especially black raspberry are also fruits adapted in Brazil, presenting even better productivity and quality. Thus, the aim of this study was to evaluate the processing potential of other varieties of raspberry, but the red, in the preparation of jellies through mixture design and response surface methodology (RSM). These techniques were used to optimize the following 3 variables: yellow (Golden Bliss cultivar, Rubus idaeus), black (Rubus niveus), and red raspberries (Batum cultivar, Rubus idaeus) to formulate a mixed raspberry fruit jelly through sensory evaluations. It was found that jelly formulated with a mix of colored raspberries grown in subtropical regions is a viable and alternative way to use yellow and black raspberries. The mixed raspberry jelly must have 0% to 30% yellow raspberries, 25% to 50% black raspberries, and 30% to 75% red raspberries. Within this region, the optimum formulation has ideal characteristics that are often not observed in formulations with 100% black or yellow raspberries. PRACTICAL APPLICATION The black and yellow raspberries are little explored in fresh consumption and in the development of products such as jams and jellies. From these work, using mixture design and response surface methodology, has been verified that the production of a mixed raspberry jelly seems feasible and is an interesting alternative to use the yellow and black raspberries. The results serve as a guide to the production of jams and jellies from these types of raspberries.
Edge Colorings and Circular Flow Numbers of Regular Graphs

The article characterizes (2t+1) ‐regular graphs with circular flow number 2+22t−1 . For t=1 this is Tutte's characterization of cubic graphs with flow number 4. The class of cubic graphs is the only class of odd regular graphs where a flow number separates the class 1 graphs from the class 2 graphs. We finally state some conjectures and relate them to Jaeger's circular flow conjecture and Tutte's 3‐flow conjecture.
Genetic characterization of Chinese measles vaccines by analysis of complete genomic sequences

The complete genomic sequences of two Chinese measles vaccine viruses, Shanghai‐191 (S‐191) and Changchun‐47 (C‐47), were determined and compared to the sequences of other measles vaccine strains as well as the prototype measles strain, Edmonston wild‐type (Edwt). Compared to Edwt, S‐191 and C‐47 had 49 and 43 nucleotide changes, respectively. These differences were found at 52 nucleotide positions that were not found in other vaccine strains. Phylogenetic analysis of the all of the available genomic sequences for measles vaccines showed that S‐191 and C‐47 were most closely related to the Leningrad‐4 strain. S‐191 and C‐47 shared conserved vaccine virus‐specific amino acid changes in the phosphoprotein (P), V, C, matrix (M), and hemagglutinin (H) that could represent important targets for future studies aimed at understanding the molecular basis of attenuation. In addition, S‐191 and C‐47 had several unique amino acid changes including 13 positions that differed from Edwt. This is the first comparison of the complete genomic sequences of Chinese measles vaccines to the sequences of other vaccine strains. J. Med. Virol. 81:1477–1483, 2009. © 2009 Wiley‐Liss, Inc.
Cluster Detection Based on Spatial Associations and Iterated Residuals in Generalized Linear Mixed Models

Summary Spatial clustering is commonly modeled by a Bayesian method under the framework of generalized linear mixed effect models (GLMMs). Spatial clusters are commonly detected by a frequentist method through hypothesis testing. In this article, we provide a frequentist method for assessing spatial properties of GLMMs. We propose a strategy that detects spatial clusters through parameter estimates of spatial associations, and assesses spatial aspects of model improvement through iterated residuals. Simulations and a case study show that the proposed method is able to consistently and efficiently detect the locations and magnitudes of spatial clusters.
Towards Near Real-Time Data Warehousing

A data warehouse is built as a layer on top of existing operational database systems. Once built, it has to be regularly updated (refreshed). Currently, most data warehouse approaches employ static refresh mechanisms whereby updates are based on a static timestamp, eg. once every day/week/quarter only. Whilst for some systems this might be adequate, others require a more rigorous approach ensuring that analysis is always 'up-to-date'. Static time interval for refreshing data warehouse is not adequate enough for systems with high update frequency. A real-time data warehouse incorporates operational data changes in real time. However, sometimes, it is often unnecessary or even inefficient to immediately refresh and send updates from the operational database into a data warehouse. In this paper, we propose a near real-time refresh mechanism that takes into consideration a number of measures: (i) Impact from record, (ii) Number of records affected, and (iii) Frequency Request Measure. The combination of these measures can accurately identify when the data warehouse needs to be strictly real-time, or near real-time (ie. right-time). Our experimentation shows that the proposed approach offers a significant benefit in terms of refresh operation cost in comparison to real-time warehousing, while at the same time still maintaining a high freshness level of the data warehouse.
‘Normative or Realist’ versus ‘Normative and Realist’

The idea of the EU constituting a form of ‘normative power’ in its external relations is one which holds significant appeal – not only to European policymakers but also to a number of academic commentators. This article first outlines what is meant by ‘normative power’, and then offers a critique based on a political economy understanding of the ways in which ‘norms’ and interests are intermeshed. The example of relations between the EU and Morocco is examined in detail. It is concluded that the EU claim to represent a ‘normative power’ – understood in a necessarily positive and idealist sense – is misleading, but that the EU does seek to promote and support certain norms that may or may not be in the best interests of those at the receiving end of these promotive and supportive efforts.
Intralist Similarity and Acquisition and Generalization of Word Recognition.

it is noteworthy that all words are not equally difficult for begin ning readers to learn. One factor affecting the difficulty in learning to read a list of words is the discriminability of the words composing the list. The discriminability of a list of words to be learned is related, in part, to the intralist similarity of the words composing the list. The variety of letters contained in a list of words defines the extent of one dimension of intralist similarity. A list of words which includes a large number of different letters for a constant number of words is regarded as having low intralist similarity; correspondingly, a list which contains only a small number of dif ferent letters for the same number of words is characterized as
Posttranslational Control of ALA Synthesis Includes GluTR Degradation by Clp Protease and Stabilization by GluTR-Binding Protein1[OPEN]

The protease post-translationally fine-tunes a key enzyme in the synthesis of 5-Aminolevulinic acid during photoperiodic growth. 5-Aminolevulinic acid (ALA) is the first committed substrate of tetrapyrrole biosynthesis and is formed from glutamyl-tRNA by two enzymatic steps. Glutamyl-tRNA reductase (GluTR) as the first enzyme of ALA synthesis is encoded by HEMA genes and tightly regulated at the transcriptional and posttranslational levels. Here, we show that the caseinolytic protease (Clp) substrate adaptor ClpS1 and the ClpC1 chaperone as well as the GluTR-binding protein (GBP) interact with the N terminus of GluTR. Loss-of function mutants of ClpR2 and ClpC1 proteins show increased GluTR stability, whereas absence of GBP results in decreased GluTR stability. Thus, the Clp protease system and GBP contribute to GluTR accumulation levels, and thereby the rate-limiting ALA synthesis. These findings are supported with Arabidopsis (Arabidopsis thaliana) hema1 mutants expressing a truncated GluTR lacking the 29 N-terminal amino acid residues of the mature protein. Accumulation of this truncated GluTR is higher in dark periods, resulting in increased protochlorophyllide content. It is proposed that the proteolytic activity of Clp protease counteracts GBP binding to assure the appropriate content of GluTR and the adequate ALA synthesis for chlorophyll and heme in higher plants.
Different control schemes for current source converters in wind applications

Different current source converter topologies for wind turbine applications are presented and analyzed in the paper. In high-power and medium-voltage range, current source converter has its natural advantages, such as simple topology, compact size, high power capability, excellent short circuit protection, and flexible power flow control. However, it also presents some challenges for control scheme development. In the paper three different approaches are shown. One utilizes phase control thyristors and active filter for harmonics compensation, while other uses PWM controlled SGCTs. Finally, the third solution presents direct torque control and virtual-flux based direct power control (DPTC). Simulation results are given for all presented control schemes and some features of each control are emphasized.
Extension of influenza immunization program to children in England – Future plans

The aim of the national influenza (flu) immunization program is to reduce the morbidity and mortality caused by influenza in the UK each winter. This is achieved by offering direct protection against influenza to persons in clinical risk groups and since 2013/14 cohorts of ‘healthy’ children, this includes children aged 2 to 7 y and indirect protection to the whole population by immunizing children and reducing transmission. Until 2012 the UK national flu immunization program recommended that influenza vaccine be offered to the following risk groups; persons aged 65 y and over, people in clinical at risk groups (aged 6 months to under 65 y), carers, pregnant women and occupational groups delivering health or social care with direct patient or client contact. Following the emergence of the novel influenza A H1N1pdm09 influenza virus in the pandemic of 2009, which resulted in an increase in cases of influenza in children during that year the UK Secretary of State for Health asked the Joint Committee of Vaccination and Immunisation (JVCI) to review the seasonal influenza vaccination program and provide advice and recommendations on possible extensions of the program to include at-risk age groups within the healthy population. The advice of the JVCI was that the influenza immunization program should be extended to include all children aged 2 y to less than 17 y. It was recognized that this would need to be a phased extension to the immunization program rolled out over a number of y.
Higher Prevalence of Elevated Albumin Excretion in Youth With Type 2 Than Type 1 Diabetes

OBJECTIVE—To estimate the prevalence of an elevated albumin-to-creatinine ratio (ACR) (≥30 μg/mg) among youth with type 1 or type 2 diabetes and to identify factors associated with elevated ACR and their effect on the relationship between elevated ACR and type of diabetes. RESEARCH DESIGN AND METHODS—Cross-sectional data were analyzed from 3,259 participants with onset of diabetes at <20 years of age in the SEARCH for Diabetes in Youth, a multicenter observational study of diabetes in youth. Multiple logistic regression was used to explore determinants of elevated ACR and factors accounting for differences in this prevalence between type 2 and type 1 diabetes. RESULTS—The prevalence of elevated ACR was 9.2% in type 1 and 22.2% in type 2 diabetes (prevalence ratio 2.4 [95% CI 1.9–3.0]; P < 0.0001). In multiple logistic regression analysis, female sex, A1C and triglyceride values, hypertension, and type of diabetes (type 2 versus type 1) were significantly associated with elevated ACR. Adjustment for variables related to insulin resistance (obesity, hypertension, dyslipidemia, and inflammation) attenuated, but did not completely explain, the association of diabetes type with elevated ACR. CONCLUSIONS—Youth with type 2 diabetes have a higher prevalence of elevated ACR than youth with type 1 diabetes, in an association that apparently does not completely depend on age, duration of diabetes, race/ethnicity, sex, level of glycemic control, or features of insulin resistance.
Particle swarm optimization using multiple neighborhood connectivity and winner take all activation applied to biophysical models of inferior colliculus neurons

Coventry, Brandon S. M.S.E.C. E. , Purdue University, August 2014. Particle Swarm Optimization Using Multiple Neighborhood Connectivity and Winner Take All Activation Applied to Biophysical Models of Inferior Colliculus Neurons. Major Professors: Edward L. Bartlett and Thomas M. Talavage. Age-related hearing loss is a prevalent neurological disorder, affecting as many as 63% of adults over the age of 70. The inability to hear and understand speech is a cause of much distress in aged individuals and is becoming a major public health concern as age-related hearing loss has also been correlated with other neurological disorders such as Alzheimers dementia. The Inferior Colliculus (IC) is a major integrative auditory center, receiving excitatory and inhibitory inputs from several brainstem nuclei. This complex balance of excitation and inhibition gives rise to complex neural responses, which are measured in terms of firing rate as a given parameter is varied. A major obstacle in understanding the mechanisms involved in generating normal and aberrant auditory responses is estimating the strength and tuning of excitatory and inhibitory inputs that are integrated to form the output firing of IC neurons. To better understand IC response generation, biophysically accurate, conductancebased computational models were used to recreate IC frequency tuning responses. The problem of fitting response curves in vivo was approached using particle swarm optimization, an optimization paradigm which mimics social networks of flocking birds to solve problems. A new social network modeling winner-take-all activation found in visual neuron coding was developed in which agents are divided into social hierarchies and compete for leadership rights. This social network has shown good performance in benchmark optimization problems and is used to recreate IC frequency tuning re-
Moving Objects Verification from Airborne Video

This paper presents an end-to-end verification system for moving objects in airborne video. Lacking of prior training data, the object information is collected on the fly from a short real-time learning sequence. Using a sample selection module, the system selects samples from the learning sequence and stores them in an exemplar database. To handle the appearance change due to the large aspect angle variation, a homography-based view synthesis method is used to generate the novel view for each image in the exemplar database that has the same pose as the query object in each frame. Distance Transform is then applied to get the matching score between the query frame and each learning image. After looping over all the query frames, the set of matching scores is passed to a temporal analysis module to examine the behavior of the query object, and calculate a final likelihood. Very good verification performance is achieved in thousands of trials for both EO and IR sequences using the proposed system.
Survey of Automated Speaker Identification Methods

In this paper we present an overview of state-of-the-art approaches for speaker identification. Due to the increased number of dialogue system applications the interest in that field has grown significantly in recent years. Nevertheless, there are many open issues in the field of automatic speaker identification. Among them the choice of the appropriate speech signal features and machine learning algorithms could be mentioned. We make here an overview of modern methods designed for the problem of speaker identification. We also describe here our direction for possible improvements to the automated speaker identification.
A Space Oddity: Geographic and Specific Modulation of Migration in Eudyptes Penguins

Post-breeding migration in land-based marine animals is thought to offset seasonal deterioration in foraging or other important environmental conditions at the breeding site. However the inter-breeding distribution of such animals may reflect not only their optimal habitat, but more subtle influences on an individual’s migration path, including such factors as the intrinsic influence of each locality’s paleoenvironment, thereby influencing animals’ wintering distribution. In this study we investigated the influence of the regional marine environment on the migration patterns of a poorly known, but important seabird group. We studied the inter-breeding migration patterns in three species of Eudyptes penguins (E. chrysolophus, E. filholi and E. moseleyi), the main marine prey consumers amongst the World’s seabirds. Using ultra-miniaturized logging devices (light-based geolocators) and satellite tags, we tracked 87 migrating individuals originating from 4 sites in the southern Indian Ocean (Marion, Crozet, Kerguelen and Amsterdam Islands) and modelled their wintering habitat using the MADIFA niche modelling technique. For each site, sympatric species followed a similar compass bearing during migration with consistent species-specific latitudinal shifts. Within each species, individuals breeding on different islands showed contrasting migration patterns but similar winter habitat preferences driven by sea-surface temperatures. Our results show that inter-breeding migration patterns in sibling penguin species depend primarily on the site of origin and secondly on the species. Such site-specific migration bearings, together with similar wintering habitat used by parapatrics, support the hypothesis that migration behaviour is affected by the intrinsic characteristics of each site. The paleo-oceanographic conditions (primarily, sea-surface temperatures) when the populations first colonized each of these sites may have been an important determinant of subsequent migration patterns. Based on previous chronological schemes of taxonomic radiation and geographical expansion of the genus Eudyptes, we propose a simple scenario to depict the chronological onset of contrasting migration patterns within this penguin group.
Online motor-imagery based BCI

This contribution presents a study on feedback training using a motor-imagery based brain-computer interface (BCI). In contrast to majority of BCI papers focusing on development of complex signal processing methods, we used the simplest possible available methods to focus on influence of the feedback itself and development of methodology how to conduct the experiments to support user training. We have shown that simple signal processing methods are not only sufficient to achieve high-speed control but their usage is desired in online applications as the simple methods can be more easily adapted. We have introduced a novel adaptive threshold classification approach. Classification scores up to 100 % (75 % in average over all subjects and sessions) were achieved with classification of left and right arm motor imagery and visual feedback in experiments performed in synchronous manner and asynchronous self-paced operation was reached with few proficient subjects.
Currentcy: A Unifying Abstraction for Expressing Energy Management Policies

The global nature of energy creates challenges and opportunities for developing operating system policies to effectively manage energy consumption in battery-powered mobile/wireless devices. The proposed currentcy model creates the framework for the operating system to manage energy as a first-class resource. Furthermore, currentcy provides a powerful mechanism to formulate energy goals and to unify resource management policies across diverse competing applications and spanning device components with very different power characteristics. This paper explores the ability of the currentcy model to capture more complex interactions and to express more mature energy goals than previously considered. We carry out this exploration in ECOSystem, an "energy-centric" Linux-based operating system. We extend ECOSystem to address four new goals: 1) reducing residual battery capacity at the end of the targeted battery lifetime when it is no longer required (e.g., recharging is available), 2) dynamic tracking of the energy needs of competing applications for more effective energy sharing, 3) reducing response time variation caused by limited energy availability, and 4) energy efficient disk management. Our results show that the currentcy model can express complex energy-related goals and behaviors, leading to more effective, unified management policies than those that develop from per-device approaches.