Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiological and perceptual responses of youth soccer players to an intensified period of competition

Intensified periods of competition create large increase in physical workload and can expose soccer players to numerous playing styles. The purpose of the study was to investigate the response of youth soccer players to an intensified period of competition and assess whether initial fitness influenced outcomes. Elite males across two consecutive years (n1 = 18, n2 = 18) were assessed for lower body strength and high-intensity endurance. Objective and subjective measures of fatigue were collected throughout five-day international tournaments using countermovement jumps (CMJ), a perceptual wellness questionnaire and match GPS data. Mixed effects models quantified the effects of time and fitness on outcomes. In general, results were consistent across both years. No significant interaction effects were obtained between time and fitness variables for any outcome ( χ 4 2 ≤ 6.5; p ≥ .225). CMJ height and power remained consistent across both tournaments ( χ 4 2 ≤ 5.3; p ≥ .262). In contrast, significant ( χ 4 2 ≥ 17.7; p < .003) effects of time were obtained for GPS data with metrics exhibiting U-shape patterns with values returning to initial levels during final games. Greater variation was obtained for perceptual wellness data; however, responses to general muscle soreness and stress levels showed consistent decreases across both years ( χ 4 2 ≥ 12.7; p ≤ .013). Practitioners should be aware that basic measures collected from CMJ and GPS data may not be sensitive to fatigue accrued in youth soccer players across intensified periods of competition. In contrast, simple perceptual measures including general muscle soreness and stress may be more sensitive and assist with implementation of active recovery or load management strategies.
USABILITY REQUIREMENTS FOR LEARNING MANAGEMENT SYSTEMS IN OPEN DISTANCE ELECTRONIC LEARNING ENVIRONMENTS: LECTURERS’ VIEWS

The 2020 health pandemic brought renewed interest in using learning management systems (LMSs) to deliver educational services as routinely done in open distance and electronic learning (ODeL) environments. LMSs usability has been researched but the lecturers’ perspective remains unexplored. The purpose of this study was to propose validated usability guidelines for an LMS in an ODeL context. A set of usability requirements was abstracted from the literature and used as the basis for a heuristic evaluation (HE) of the institution’s LMS. These results of the HE was triangulated with three other usability evaluation methods including usability testing with eye tracking, a post-test system usability scale (SUS) questionnaire and interviews. The primary contribution is the validated usability requirements for ODeL LMSs based on the lecturers’ perspective. A secondary contribution is the triangulation approach to evaluating the guidelines in situ which confirmed HE as a valid evaluation method for LMSs.
Qualitative Adaptation: Informing Design for Risk-based Decision Making

Research on decision making during risk and uncertainty facilitates risk-based decision making by understanding techniques decision makers use to arrive at informed decisions. Approaches to the research usually involve a mix of cognitive techniques for information discovery and sense-making; these were methodologically not intended to inform design. We detail our experience in applying qualitative techniques to elicit persona characteristics from risk-based decision making data.
Spatiotemporal variation in resource utilisation by a large herbivore, the moose

Habitat alteration by humans may change the supply of food and cover for wild ungulates, but few studies have examined how these resources are utilised over time by individuals of different sex and reproductive status. We examined circadian and seasonal variation in habitat utilisation within a moose Alces alces population in central Norway. Our study area covers forests and open habitats, both influenced by human alterations (e.g. forestry and agriculture). We expected moose to select habitats with good forage and cover in all seasons, but to select open foraging habitats mainly during night-time. Moose selected good foraging habitats, such as young forest stands and cultivated land during night, whereas the utilisation of older forest stands providing cover increased during daytime. This circadian pattern changed throughout the year, seemingly related to variation in hours of daylight and provision of forage. Young forest stands provided higher density of preferred food plants compared to older stands and were highly selected from spring until autumn. Relative to young forest, the selection for older forest stands increased towards winter, likely due to provision of higher plant quality late in the growing season, and to reduced accumulation of movement-impeding snow during winter. Selection of cultivated land varied among seasons, being highest when crop biomass was high. We also found some indications of state-dependent habitat selection as reproducing females avoided open, food rich areas in the first months after their calves were born, whereas males and females without young selected these areas in spring and summer. Our results clearly show that moose exploit the variations in cover and food caused by forestry and agriculture. This is particularly relevant for moose in Norway as current changes in forestry practice lead to a reduction in young, food-rich forest stands, possibly aggravating the already declining body conditions and recruitment rates of moose.
A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem

The problem of finding network codes for general connections is inherently difficult in capacity constrained networks. Resource minimization for general connections with network coding is further complicated. Existing methods for identifying solutions mainly rely on highly restricted classes of network codes, and are almost all centralized. In this paper, we introduce linear network mixing coefficients for code constructions of general connections that generalize random linear network coding for multicast connections. For such code constructions, we pose the problem of cost minimization for the subgraph involved in the coding solution and relate this minimization to a path-based constraint satisfaction problem (CSP) and an edge-based CSP. While CSPs are NP-complete in general, we present a path-based probabilistic distributed algorithm and an edge-based probabilistic distributed algorithm with almost sure convergence in finite time by applying communication free learning. Our approach allows fairly general coding across flows, guarantees no greater cost than routing, and shows a possible distributed implementation. Numerical results illustrate the performance improvement of our approach over existing methods.
Differentiation of Cognitive Abilities across the Lifespan

Existing representations of cognitive ability structure are exclusively based on linear patterns of interrelations. However, a number of developmental and cognitive theories predict that abilities are differentially related across ages (age differentiation-dedifferentiation) and across levels of functioning (ability differentiation). Nonlinear factor analytic models were applied to multivariate cognitive ability data from 6,273 individuals, ages 4 to 101 years, who were selected to be nationally representative of the United States population. Results consistently supported ability differentiation, but were less clear with respect to age differentiation-dedifferentiation. Little evidence for age modification of ability differentiation was found. These findings are particularly informative about the nature of individual differences in cognition, and the developmental course of cognitive ability level and structure.
Achieving radical change : a comparative study of public-sector accounting in Westminster and Scotland

Purpose – The paper focuses on strategies and ‘spoken discourses’ used to construct legitimation around change at the individual level. Comparing changes in financial accounting, budgeting and performance management at two government levels (Westminster and Scotland), it explores the use of legitimation strategies in the implementation of accounting change and its perceived outcomes. Design/methodology/approach – Drawing on semi-structured interviews, six legitimation/delegitimation strategies are used to code the transcribed data. Patterns with the perceived outcomes of change are explored. Findings – Changes introduced to enhance ‘rational’ decision making are often received as pushed by some source of authority. Regardless of the interviewees’ background and level, the results suggest that for radical accounting change to embed, it is necessary for it to be perceived as rational, rather than merely driven by authorisation-based pressures. Conversely, incremental change is associated with modest legitimation via rationalisation and delegitimation based on pathos and
Tilburg University An empirical analysis of assortment similarities across U . S . supermarkets

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New pigments based on carminic acid and smectites : a molecular investigation 1 2

Sorbonne Université, Laboratoire d’Archéologie Moléculaire et Structurale, UMR 8220, 4 7 place Jussieu, F-75005 Paris, France 8 Sorbonne Université, Laboratoire Chimie de la Matière Condensée, UMR 7574, 4 place 9 Jussieu, F-75005 Paris, France 10 Sorbonne Université, Institut des Matériaux de Paris Centre (FR2482), 4 place Jussieu, 11 75005 Paris, France 12 Institut Européen des Membranes, UMR 5635, Université de Montpellier, ENSCM, CNRS, 13 Place Eugène Bataillon, F-34095 Montpellier cedex 5, France 14 5 Institut de Science des Matériaux de Mulhouse, UMR7361, CNRS, University of Haute 15 Alsace, 15 rue Jean Starcky, 68057 Mulhouse Cedex, France 16 6 General Chemistry (ALGC), Vrije Universiteit Brussel (Free University Brussels-VUB), 17 Pleinlaan 2, 1050 Brussel, Belgium 18 7 Sorbonne Université, Physicochimie des Electrolytes et Nanosystèmes interfaciaux, UMR 19 8220, 4 place Jussieu , F-75005 Paris, France 20 21
Analysis of Car Type Preferences Among Students Based on Seemingly Unrelated Regression

Vehicle type purchase intentions are interesting from a marketing point of view, because car manufacturers are competing to attract potential buyers. Furthermore, from the point of view of transport planners as well as the government, there are environmental concerns. This study focused on students’ intention to purchase different types of vehicles. The study obtained a sample of 1,229 students from seven countries, to understand cultural differences in preferences. The dependent variables were intention to buy cars in different categories, including hybrid and electric cars. The aim was to explain intentions with three categories of explanatory variables: psychological aspects, sociodemographics, and site-specific dummy variables. To account for correlation between the dependent variables, the analysis used seemingly unrelated regression. The study found that attitudinal factors are significant, particularly for the intention to buy more environmentally friendly types of vehicles; the paper discusses policy implications. The study observed the importance of the symbolic-affective value of a car in explaining car type preferences, as well as the importance of awareness of the negative effects cars might have on the environment and society. It is suggested that these findings can be used to promote more environmentally friendly cars.
The structure and formation of the Tyrrhenian basin in the Western Mediterranean back-arc setting

Memoria de tesis doctoral presentada por Manuel Prada Dacasa para optar al grado de Doctor en ciencias de la tierra por la Universitat de Barcelona (UB), realizada bajo la direccion del Dr. Valenti Sallares Casas y del Dr. Cesar Rodriguez Ranero del Institut de Ciencies del Mar (ICM-CSIC). -- 278 pages
Outcome of cardiopulmonary resuscitation in a pediatric cardiac intensive care unit

ObjectiveTo determine the eventual outcome of children with heart disease who had cardiopulmonary resuscitation (CPR) in a specialized pediatric cardiac intensive care unit (CICU), and to define the influence of any prearrest variables on the outcome. DesignA retrospective review of patients’ medical records. SettingA pediatric CICU of a tertiary pediatric teaching hospital. Patients and MethodsPatients were all children who presented with cardiopulmonary arrest and who were administered CPR in the pediatric CICU between June 1995 and June 1997. Prearrest variables such as age, diagnosis, prior cardiac surgery, and inotropic support with epinephrine, as well as cause of arrest, were evaluated. Measurements and Main ResultsThirty-two patients, ranging in age from 1 day to 21 yrs (median, 1 month), satisfied criteria for inclusion in the study group. These 32 patients had a total of 38 episodes of cardiopulmonary arrest. Twenty-five of these patients (78%) had cardiac surgery before arrest. Inotropic support with continuous infusion of epinephrine was being administered at the time of arrest in 18 of 38 (47%) arrests. These prearrest variables did not influence outcome of CPR.Of the 38 episodes of CPR, 24 episodes (63%) were successful, with 20 episodes resulting in return of spontaneous circulation and four patients being successfully placed on mechanical cardiopulmonary support. Fourteen children, including all four patients who were rescued with mechanical cardiopulmonary support, survived to discharge. At 6-month follow-up, 11 patients were still alive, with three having neurologic impairment. ConclusionsAfter cardiopulmonary resuscitation in this pediatric CICU, the rate of success was 63% and the rate of survival was 42%. Prior cardiac surgery and use of epinephrine before arrest did not influence the outcome of CPR. The availability of effective mechanical cardiopulmonary support can improve the outcome of CPR.
A minimal hepatocyte growth factor mimic acting as a powerful agonist of the MET receptor tyrosine kinase for regeneration of epithelial tissues and organs. Short Title: Kringle 1 dimer as a minimal MET agonist. Authors

1. Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 UMR 9017 CIIL Center for Infection and Immunity of Lille, F-59000 Lille, France. 2. Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA 3. Univ. Lille, Inserm, CHU Lille, U1286 INFINITE Institute for Translational Research in Inflammation, F-59000 Lille, France 4. Roche Pharmaceutical Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Basel, Switzerland. 5. The Armenise-Harvard Laboratory of Structural Biology, Dept. Biology and Biotechnology University of Pavia, via Ferrata 9, 27100 Pavia, Italy 6. Univ. Lille, CNRS, INSERM, CHU Lille, Centre Oscar Lambret, UMR 9020 – UMR 1277 – Canther – Cancer Heterogeneity, Plasticity and Resistance to Therapies, F-59000 Lille, France 7. Department of Molecular Medicine, Pavia University Immunology and General Pathology section, via Ferrata 9, 27100 Pavia (PV), Italy
An Introduction to the Chemistry of the Sea

Preface 1. Introduction 2. The water in seawater 3. Salinity, chlorinity, conductivity, and density 4. Major constituents of seawater 5. Simple gases 6. Salts in solution 7. Carbon dioxide 8. Nutrients 9. Trace metals and other minor elements 10. Radioactive clocks 11. Organic matter in the sea 12. Anoxic marine environments 13. Exchanges at the boundaries 14. Chemical extraction of useful substances from the sea 15. Geochemical history of the oceans Appendix A. The chemical elements Appendix B. Symbols, units, and nomenclature Appendix C. Physical properties of seawater Appendix D. Gases Appendix E. Carbon dioxide Appendix F. Dissociation constants and pH scales Appendix G. Solubility of calcium carbonate Appendix H. Effects of pressure Appendix I. Radioactive decay Appendix J. Geochemical reservoirs, and some rates Appendix K. Sound absorption Glossary References Index.
Regional hydrology and simulation of deep ground-water flow in the Southeastern Coastal Plain aquifer system in Mississippi, Alabama, Georgia, and South Carolina

Cl Introduction. 2 Area of Study . 2 Purpose and Scope. 4 Approach. 4 Previous Work and Acknowledgments. 4 Regional Hydrogeologic Setting . 5 Base of the Southeastern Coastal Plain Aquifer System. 5 Southeastern Coastal Plain Aquifer System . 8 Floridan Aquifer System. 12 Northern Atlantic Coastal Plain Aquifer System. 13 Gulf Coast Aquifer Systems . 14 Hydrologic Environment. 16 Hydrologic Cycle. 16 Precipitation. 16 Runoff. 17 Evapotranspiration. 20 Infiltration. 21 Conceptualization of the Ground-Water Flow System . 22 Climatic Effects. 23 Geologic Controls. 24 Topographic Influences. 27 Water Budget. 28 Simulation of Ground-Water Flow . 32 Background. 32 Page Simulation of-Ground-Water Flow Continued Model Design. C33 Hydrogeologic Framework. 33 Layering Scheme. 33 Finite-Difference Grid and Subregional Model Coordination. 34 Boundary Conditions. 45 No-Flow Boundaries . 45 Constant-Head Boundaries. 48 Model Calibration. 49 Strategy. 49 Goodness of Fit. 51 Parameter Definition. 53 Transmissivity. 53 Storage Coefficient. 59 Leakance. 60 Streambed Conductance. 60 Recharge. 63 Model Results: Simulation of Deep Ground-Water Flow. 66 Predevelopment (Pre-1900) Conditions . 66 Postdevelopment (1900-85) Conditions . 69 Model Sensitivity. 76 Summary. 79 Selected References. 83
University of Birmingham Zephyr:

Hoarding disorder is a complex condition that has attracted little research attention, despite adversely affecting 2-5% of the population. We review the options and difficulties in the treatment of hoarding disorder using technology. We present a novel intervention design, delivered on tablets, that combines a Cognitive Bias Modification game with goal tracking functionality. We outline two experiments in progress: a lab study to measure the impact of our game on a non-hoarding population, and a probe study to determine the suitability of the intervention for participants with hoarding disorder
Optimal Investments with Increasing Returns to Scale

The author analyzes the firm optimal investment policy, assuming a pure increasing-returns-to-scale technology and adjustment costs. The existence of an optimal plan is proved by applying a new set of necessary and sufficient conditions for optimality. The analysis is carried out in a linear-quadratic framework that enables one to study a general nonlinear problem in a neighborhood of the long-run equilibrium. The investment policy shows a reverse accelerator effect. In a general setting, he proves that the saddle-point characterization is a sufficient condition for a stationary competitive equilibrium to be a finitely optimal trajectory. Copyright 1998 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
Testing Multimodal Integration Hypotheses with Application to Schizophrenia Data

Multimodal data sets are getting more and more common. Integrating these data sets, the information from each modality can be combined to improve performance in classification problems. Fusion/integration of modalities can be done at several levels. The most appropriate fusion level is related to the conditional dependency between modalities. A varying degree of inter-modality dependency can be present across the modalities. A method for assessing the conditional dependency structure of the modalities and their relationship to intra-modality dependencies in each modality is therefore needed. The aim of the present paper is to propose a method for assessing these inter-modality dependencies. The approach is based on two permutations of an analyzed data set, each exploring different dependencies between and within modalities. The method was tested on the Kaggle MLSP 2014 Schizophrenia Classification Challenge data set which is composed of features from functional magnetic resonance imaging (MRI) and structural MRI. The results support the use of a permutation strategy for testing conditional dependencies between modalities in a multimodal classification problem.
Slow and fast light effects in semiconductor optical amplifiers for applications in microwave photonics

Slow and fast light effects have generated great interest in optical signal processing for applications in optical communications and microwave photonics. This thesis experimentally and theoretically analyzes semiconductor optical amplifiers (SOAs) based slow and fast light effects. The proposed devices are promising candidates for implementing optical signal processing especially in microwave photonic fields such as microwave phase shifters or delay lines. This thesis describes the achievement of 360o microwave phase shifts by slow and fast light effects in SOAs, which also satisfies some basic requirements of microwave photonic systems. In this work, we initially explore the physical limitations of the coherent population oscillations based slow and fast light in SOAs and present a theoretical model, in the context of four wave mixing, to simulate the microwave phase changes induced by controlling the group velocity of light. Based on these understandings, we propose a new configuration by optical filtering to enhance slow light effects. This method has been demonstrated to produce up to ∼ 150o microwave phase shifts at such high microwave frequency as 40 GHz. Then we characterize this new configuration in detail by investigating the microwave operation bandwidth and initial chirp dependence. The most promising result of this thesis is the achievement of 360o microwave phase shifters through a cascaded slow light structure. The multi-current control of the cascaded
Nanocellulose-collagen-apatite composite associated with osteogenic growth peptide bone regeneration Highlights

Please cite this article as: Sybele Saska, Lucas Novaes Teixeira, Larissa Moreira Spinola de Castro Raucci, Raquel Mantuaneli Scarel-Caminaga, Leonardo Pereira Franchi, Raquel Alves dos Santos, Silvia Helena Santagneli, Marisa Veiga Capela, Paulo Tambasco de Oliveira, Catarina Satie Takahashi, Ana Maria Minarelli Gaspar, Younès Messaddeq, Sidney José Lima Ribeiro, Reinaldo Marchetto, Nanocellulose-collagen-apatite composite associated with osteogenic growth peptide bone regeneration, International Journal of Biological Macromoleculeshttp://dx.doi. org/10.1016/j.ijbiomac. 2017.05. 086
A novel ultra wide band antenna with dual band notches for wireless applications

In this paper, a novel ultra-wideband monopole antenna with dual band notched features is designed for WLAN application. A Y-shaped slot on the microstrip feed line as well as a split ring slot on the radiation patch is inserted for realizing the dual notches. The designed antenna effectively rejects frequencies within a range of 5.2–6.3 GHz and is ideal for WLAN applications.
A survery: Recent trends in video in-painting techniques

The process of repairing the specific area in the video is known as video inpainting. The goal of video inpainting is to remove unwanted object from a video and reconstruct the video. Many methods have been developed for video inpainting. This paper introduces survey on following video inpainting techniques 1) Exemplar based method 2) Partial differential equation (PDE) based method 3) Object based method 4) Texture synthesis based method 5) Patch-based method. Features and limitations of various methods are explained using recent papers. Comparisons of various inpainting techniques are discussed.