Miracle-dz/UniFAR-FTUs huggingface dataset:
Star formation and mass assembly in high-redshift galaxies

Aims. The goal of this work is to infer the star formation properties and the mass assembly process of high redshift (0.3 ≤ z 0.3, the star formation rate is correlated well with stellar mass, and this relationship seems to steepen with redshift if one relies on IR-based estimates of the SFR; b) the contribution to the global SFRD by massive galaxies increases with redshift up to � 2.5, more rapidly than for galaxies of lower mass, but appears to flatten at higher z; c) despite this increase, the most important contributors to the SFRD at any z are galaxies of about, or immediately lower than, the characteristic stellar mass;
Combination of searches for the Higgs boson using the full CDF data set

We present a combination of searches for the standard model Higgs boson using the full CDF Run II data set, which corresponds to an integrated luminosity of 9.45--10.0 fb−1 collected from s√=1.96 TeV pp¯ collisions at the Fermilab Tevatron. The searches consider Higgs boson production from gluon-gluon fusion, vector-boson fusion, and associated production with either a W or Z boson or a tt¯ pair. Depending on the production mode, Higgs boson decays to W+W−, ZZ, bb¯, τ+τ−, and γγ are examined. We search for a Higgs boson with masses (mH) in the range 90--200 GeV/c2. In the absence of a signal, we expect based on combined search sensitivity to exclude at the 95% credibility level the mass regions 90<mH<94 GeV/c2, 96<mH<106 GeV/c2, and 153<mH<175 GeV/c2. The observed exclusion regions are 90<mH<102 GeV/c2 and 149<mH<172 GeV/c2. A moderate excess of signal-like events relative to the background expectation at the level of 2.0 standard deviations is present in the data for the mH=125 GeV/c2 search hypothesis. We also present interpretations of the data within the context of a fermiophobic model and an alternative standard model incorporating a fourth generation of fermions. Finally, for the hypothesis of a new particle with mass 125 GeV/c2, we constrain the coupling strengths of the new particle to W± bosons, Z bosons, and fermions.
Towards a unified framework for content-based audio analysis

Audio content analysis is helpful in many multimedia applications. We present a unified framework for content analysis of composite audio. The framework is designed to extract relevant information from different available audio modalities and to discover high-level semantics conveyed by the data. We also demonstrate an implementation of the proposed framework for the detection of scenes and events in various TV shows and movies, in which key audio effects are first extracted as a midlevel representation, and then a Bayesian network is used for high-level semantics inference. Experiments on 12-hour audio data indicate that the proposed framework has a satisfying performance.
Multivariate Edgeworth-Based Entropy Estimation

We develop the general, multivariate case of the Edgeworth approximation of differential entropy, and introduce an approximate formula for Gaussian mixture densities. We use these entropy approximations in a new algorithm for selecting the optimal number of clusters in a data set, and in a new mutual information test with which one can statistically decide whether a distribution can be factorized along a given set of axes
Vertical jump and shot speed, efficacy and accuracy in water polo

We have evaluated water polo vertical jump and shooting success determinants, their interplay, identified its main variables and proposed a predictive model. Twenty-two sub-elite players (23.23±7.22yrs and 13.0±5.4yrs of experience) were tested for absolute vertical jump (146.41±6.96cm), relative jump (considering trunk and upper limb length) and handgrip strength (54.97±5.26kgf). Shooting speed (radar), efficacy and accuracy (%) were also assessed. Players with higher trunk and upper limb length were those who had less elevation out of the water (R=0.60, p=0.004) and relative jump and body mass were the explanatory main variables of absolute vertical jump (r2=0.41, p=0.003). Shot speed to goal was 18.66±1.37 and 18.37±1.27m. s-1 (with and without previous displacement), with players attaining 50.0±33.7 and 59.09±34.02% of shot efficacy. Towards canvas target, shot speed was 17.47±1.61 and 17.26±1.69m. s-1, and players were 24.6±18.5 and 27.3±20.0% accurate. Handgrip strength was highlighted as the main variable for shot speed situations and predictive models were found, which did not occur regarding efficacy and accuracy ‘without displacement’. However, a model has been found for shot accuracy toward canvas ‘with previous displacement’ (r2=0.34; p=0.003) in which handgrip strength is focused. Results found are important to monitoring and better plan the training process for the enhancement of team performance.
An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease

Field walking tests are commonly employed to evaluate exercise capacity, assess prognosis and evaluate treatment response in chronic respiratory diseases. In recent years, there has been a wealth of new literature pertinent to the conduct of the 6-min walk test (6MWT), and a growing evidence base describing the incremental and endurance shuttle walk tests (ISWT and ESWT, respectively). The aim of this document is to describe the standard operating procedures for the 6MWT, ISWT and ESWT, which can be consistently employed by clinicians and researchers. The Technical Standard was developed by a multidisciplinary and international group of clinicians and researchers with expertise in the application of field walking tests. The procedures are underpinned by a concurrent systematic review of literature relevant to measurement properties and test conduct in adults with chronic respiratory disease. Current data confirm that the 6MWT, ISWT and ESWT are valid, reliable and responsive to change with some interventions. However, results are sensitive to small changes in methodology. It is important that two tests are conducted for the 6MWT and ISWT. This Technical Standard for field walking tests reflects current evidence regarding procedures that should be used to achieve robust results. Technical Standard document: standard operating procedures for the 6MWT, ISWT and ESWT in chronic respiratory disease http://ow.ly/Bq2B9
Working relationally in and across practices. A cultural-historical approach to collaboration

The work of professionals involves learning that underpins the essence of change, yet relational aspects of professional work are generally underrated and undervalued, and remain invisible. This is because everyone’s interest is more in the results – the outcomes of what is being changed. The importance of healthy collaborations with stakeholders across practices and boundaries in reaching a common understanding of complex issues before co-constructing solutions facilitates responsive collaborations needed for genuine change in mindsets and practices. Doing what matters most indicates serious commitment through mutuality. This book edited by Anne Edwards is founded on the interests of all those involved in projects – professionals, end users, clients, etc. This book is the first collation of international cases on making relational work visible. It builds on a comprehensive set of earlier research and publications by Edwards. The contributions from international authors provide practical examples of relational work by professionals and the outcomes of such work. The examples give credence to the importance of relational work.
The Metagenome of an Anaerobic Microbial Community Decomposing Poplar Wood Chips

This study describes the composition and metabolic potential of a lignocellulosic biomass degrading community that decays poplar wood chips under anaerobic conditions. We examined the community that developed on poplar biomass in a non-aerated bioreactor over the course of a year, with no microbial inoculation other than the naturally occurring organisms on the woody material. The composition of this community contrasts in important ways with biomass-degrading communities associated with higher organisms, which have evolved over millions of years into a symbiotic relationship. Both mammalian and insect hosts provide partial size reduction, chemical treatments (low or high pH environments), and complex enzymatic ‘secretomes’ that improve microbial access to cell wall polymers. We hypothesized that in order to efficiently degrade coarse untreated biomass, a spontaneously assembled free-living community must both employ alternative strategies, such as enzymatic lignin depolymerization, for accessing hemicellulose and cellulose and have a much broader metabolic potential than host-associated communities. This would suggest that such a community would make a valuable resource for finding new catalytic functions involved in biomass decomposition and gaining new insight into the poorly understood process of anaerobic lignin depolymerization. Therefore, in addition to determining the major players in this community, our work specifically aimed at identifying functions potentially involved in the depolymerization of cellulose, hemicelluloses, and lignin, and to assign specific roles to the prevalent community members in the collaborative process of biomass decomposition. A bacterium similar to Magnetospirillum was identified among the dominant community members, which could play a key role in the anaerobic breakdown of aromatic compounds. We suggest that these compounds are released from the lignin fraction in poplar hardwood during the decay process, which would point to lignin-modification or depolymerization under anaerobic conditions.
Error bounds for performance prediction in queuing networks

Analytic models based on closed queuing networks (CQNS) are widely used for performance prediction in practical systems. In using such models, there is always a prediction error, that is, a difference between the predicted performance and the actual outcome. This prediction error is due both to modeling errors and estimation errors, the latter being the difference between the estimated values of the CQN parameters and the actual outcomes. This paper considers the second class of errors; in particular, it studies the effect of small estimation errors and provides bounds on prediction errors based on bounds on estimation errors. Estimation errors may be divided into two types: (1) the difference between the estimated value and the average value of the outcome, and (2) the deviation of the actual value from its average. The analysis first studies the sum of both types of errors, then the second type alone. The results are illustrated with three examples.
Robust Dictionary Lookup in Multiple Noisy Orthographies

We present the MultiScript Phonetic Search algorithm to address the problem of language learners looking up unfamiliar words that they heard. We apply it to Arabic dictionary lookup with noisy queries done using both the Arabic and Roman scripts. Our algorithm is based on a computational phonetic distance metric that can be optionally machine learned. To benchmark our performance, we created the ArabScribe dataset, containing 10,000 noisy transcriptions of random Arabic dictionary words. Our algorithm outperforms Google Translate’s “did you mean” feature, as well as the Yamli smart Arabic keyboard.
Inter-organizational communities of practice: specificities and stakes

Inter-organizational communities of practice (IOCoPs) are today an emergent research topic and studies in this area are still in an exploratory phase. Theoretical mechanisms are vaguely specified and empirical studies are incipient. For this reason, this paper firstly aims at presenting the specificities and stakes of such organizational forms, establishing reference points for further research in this field. We will introduce the main features of IOCoPs and explain why they do not represent a mere subcategory of CoPs, but a unit of analysis per se. In this paper, we will follow a thematic approach to indicate IOCoPs' specificities and stakes. We will thus look at the IOCoPs' actors (in part I), IOCoPs as original organizational forms (part II), then IOCoPs' life cycle (part III). Finally, we will synthesize IOCoPs' distinctive features and conclude with a discussion on key interests of IOCoPs for both practitioners and academics.
Urban Mobility and Networking

Understanding urban human mobility is crucial for various mobile and network applications. We address two challenges presented in these mobility-based mobile applications, namely urban mobility modelling and its applications in Delay Tolerant Networks (DTNs). First, We build a human mobility model based on two real-life GPS datasets containing approximately 20 and 10 million GPS samples with transportation mode information. Previous research has suggested that the trajectories in human mobility have statistically similar features as Levy Walks. We propose to explain the Levy walk behaviour by decomposing them into different classes according to the different transportation modes, such as Walk/Run, Bike, Train/ Subway or Car/Taxi/Bus. Second, we develop a solution framework, namely Ameba, for timely delivery in DTNs. We find that human mobility exhibits strong special and temporal patterns. We leverage these human mobility patterns to derive an optimal routing hop count of each content to maximize the number of needed nodes. Illustrative results verify that Ameba achieves comparable delivery ratio as a flooding algorithm but with much lower overhead.
Development of an Innovation Model Based on a Service-Oriented Product Service System (PSS)

Recently, there have been many attempts to cope with increasingly-diversified and ever-changing customer needs by combining products and services that are critical components of innovation models. Although not only manufacturers, but also service providers, try to integrate products and services, most of the previous studies on Product Service System (PSS) development deal with how to effectively integrate services into products from the product-centric point of view. Services provided by manufacturers’ PSSes, such as delivery services, training services, disposal services, and so on, offer customers ancillary value, whereas products of service providers’ PSSes enrich core value by enhancing the functionality and quality of the service. Thus, designing an effective PSS development process from the service-centric point of view is an important research topic. Accordingly, the purpose of this paper is to propose a service-oriented PSS development process, which consists of four stages: (1) strategic planning; (2) idea generation and selection; (3) service design; and (4) product development. In the proposed approach, the PSS development project is initiated and led by a service provider from a service-centric point of view. From the perspective of methodology, customer needs are converted into product functions according to Quality Function Deployment (QFD), while Analytic Hierarchy Process (AHP) is employed to prioritize the functions. Additionally, this paper illustrates a service-oriented PSS development that demonstrates the application of the proposed process. The proposed process and illustration are expected to serve as a foundation for research on service-oriented PSS development and as a useful guideline for service providers who are considering the development of a service-oriented PSS.
Role of Intellectual Capital and Work Behavior in Supporting Lecturer’s Performance

Muhammadiyah Universities in South Sulawesi face the challenges of competitiveness, quality of human resources and lecturer’s on Tridharma performance in the field of education and teaching, research and scientific publications, and dedication to the community and other support activities. This research aims at reconstructing the development of intellectual capital through Al-Islam Kemuhammadiyaan values approach. So as to create good work behavior in order to support the university’s performance on Tridharma. This research is a quantitative research with positivist approach. The research design used in quantitative research is an explanatory research using survey methods at 10 Muhammadiyah universities in South Sulawesi by distributing questionnaires to 154 lecturers, but that can be processed only 146 questionnaires. Primary data were then analyzed using Structural Equations Models (SEM) techniques and the program is Analysis of Moment Structure (AMOS). The research findings are: (1) intellectual capital contribute significantly in supporting the lecturer’s work behavior of Muhammadiyah Universities in South Sulawesi. (2) intellectual capital does not contribute significantly in supporting the lecturer’s Tridharma performance of Muhammadiyah Universities in South Sulawesi. (3) work behavior contribute significantly in supporting lecturer’s performance of Muhammadiyah Universities in South Sulawesi.
Paxillin phosphorylation at Ser273 localizes a GIT1–PIX–PAK complex and regulates adhesion and protrusion dynamics

Continuous adhesion formation and disassembly (adhesion turnover) in the protrusions of migrating cells is regulated by unclear mechanisms. We show that p21-activated kinase (PAK)–induced phosphorylation of serine 273 in paxillin is a critical regulator of this turnover. Paxillin-S273 phosphorylation dramatically increases migration, protrusion, and adhesion turnover by increasing paxillin–GIT1 binding and promoting the localization of a GIT1–PIX–PAK signaling module near the leading edge. Mutants that interfere with the formation of this ternary module abrogate the effects of paxillin-S273 phosphorylation. PAK-dependent paxillin-S273 phosphorylation functions in a positive-feedback loop, as active PAK, active Rac, and myosin II activity are all downstream effectors of this turnover pathway. Finally, our studies led us to identify in highly motile cells a class of small adhesions that reside near the leading edge, turnover in 20–30 s, and resemble those seen with paxillin-S273 phosphorylation. These adhesions appear to be regulated by the GIT1–PIX–PAK module near the leading edge.
The AP2/ERF transcription factor SlERF52 functions in flower pedicel abscission in tomato

In plants, abscission removes senescent, injured, infected, or dispensable organs. Induced by auxin depletion and an ethylene burst, abscission requires pronounced changes in gene expression, including genes for cell separation enzymes and regulators of signal transduction and transcription. However, the understanding of the molecular basis of this regulation remains incomplete. To examine gene regulation in abscission, this study examined an ERF family transcription factor, tomato (Solanum lycopersicum) ETHYLENE-RESPONSIVE FACTOR 52 (SlERF52). SlERF52 is specifically expressed in pedicel abscission zones (AZs) and SlERF52 expression is suppressed in plants with impaired function of MACROCALYX and JOINTLESS, which regulate pedicel AZ development. RNA interference was used to knock down SlERF52 expression to show that SlERF52 functions in flower pedicel abscission. When treated with an abscission-inducing stimulus, the SlERF52-suppressed plants showed a significant delay in flower abscission compared with wild type. They also showed reduced upregulation of the genes for the abscission-associated enzymes cellulase and polygalacturonase. SlERF52 suppression also affected gene expression before the abscission stimulus, inhibiting the expression of pedicel AZ-specific transcription factor genes, such as the tomato WUSCHEL homologue, GOBLET, and Lateral suppressor, which may regulate meristematic activities in pedicel AZs. These results suggest that SlERF52 plays a pivotal role in transcriptional regulation in pedicel AZs at both pre-abscission and abscission stages.
What Grammar Tells About Gender and Age of Authors

The automatic classification of data has become a major research topic in the last years, and especially the analysis of text has gained interest due to the availability of huge amounts of online documents. In this paper, a novel style feature based on grammar syntax analysis is presented that can be used to automatically profile authors, i.e., to predict gender and age of the originator. Using full grammar trees of the sentences of a document, substructures of the trees are extracted by utilizing pq-grams. The mostly used patterns are then stored in a profile, which serve as input features for common machine learning algorithms. An extensive evaluation using a state-of-the-art test set containing thousands of English web blogs investigates on the optimal parameter and classifier configuration. Finally, promising results indicate that the proposed feature can be used as a significant characteristic to automatically predict the gender and age of authors.
Query Performance Prediction for Analytical Workloads

of “ Query Performance Prediction for Analytical Workloads ” by Jennie Duggan, Ph.D., Brown University, May 2013 Modeling the complex interactions that arise when query workloads share computing resources and data is challenging albeit critical for a number of tasks such as Quality of Service (QoS) management in the emerging cloud-based database platforms, effective resource allocation for time-sensitive processing tasks, and user-experience management for interactive systems. In our work, we develop practical models for query performance prediction (QPP) for heterogeneous, concurrent query workloads in analytical databases. Specifically, we propose and evaluate several learning-based solutions for QPP. We first address QPP for static workloads that originate from well-known query classes. Then, we propose a more general solution for dynamic, ad hoc workloads. Finally, we address the issue of generalizing QPP for different hardware platforms such as those available from cloud-service providers. Our solutions use a combination of isolated and concurrent query execution samples, as well as new query workload features and metrics that can capture how different query classes behave for various levels of resource availability and contention. We implemented our solutions on top of PostgreSQL and evaluated them experimentally by quantifying their effectiveness for analytical data and workloads, represented by the established benchmark suites TPC-H and TPC-DS. The results show that learning-based QPP can be both feasible and effective for many static and dynamic workload scenarios. Query Performance Prediction for Analytical Workloads
Voluntary activation and cortical activity during a sustained maximal contraction: An fMRI study

Motor fatigue is an exercise‐induced reduction in the force‐generating capacity. The underlying mechanisms can be separated into factors residing in the periphery or in the central nervous system. We designed an experiment in which we investigated central processes underlying motor fatigue by means of magnetic resonance imaging in combination with the twitch interpolation technique. Subjects performed a sustained maximal abduction (2 min) with the right index finger. Brain activation was recorded with an MR scanner, together with index finger abduction force, EMG of several hand muscles and interpolated twitches. Mean activity per volume was calculated for the primary motor cortex and the secondary motor areas (supplementary motor, premotor, and cingulate areas) as well as mean force and mean rectified EMG amplitude. Results showed a progressive decline in maximal index finger abduction force and EMG of the target muscles combined with an increase in brain activity in the contralateral primary motor cortex and secondary motor areas. Analysis of the twitches superimposed on the sustained contraction revealed that during the contraction the voluntary drive decreased significantly. In conclusion, our data showed that despite an increase in brain activity the voluntary activation decreased. This suggests that, although the CNS increased its input to the relevant motor areas, this increase was insufficient to overcome fatigue‐related changes in the voluntary drive. Hum Brain Mapp, 2009. © 2008 Wiley‐Liss, Inc.