Miracle-dz/UniFAR-FTUs huggingface dataset:
Perspectives on Cognition and Action in Sport

Preface The organization of action in complex neurobiological systems Catching two visual systems at once: Ventral and dorsal system contributions in the visual regulation of human movement Interpersonal Coordination Tendencies, Decision-making and Information Governing Dynamics in Rugby Union Information for regulating action in sport: Metastability and emergence of tactical solutions under ecological constraints Increasing stochastic perturbations enhances acquisition and learning of complex sport movements Levels of complexity in performance What is the influence of knowledge on player's behaviour? Some Constraints on Recognition Performance in Soccer Knowledge of Athletes as Cues for Simple Choices How does knowledge constrain sport performance? An ecological perspective Extending the Rather Unnoticed Gibsonian View that "Perception is Cognitive": Development of the Enactive Approach to Perceptual-Cognitive Expertise Judgment and Decision Making in Sport and Exercise: A Concise History and Present and Future Perspectives The development of decision making skill in sport: an ecological dynamics perspective Cognitive models of athlete decision making Decision-Making Training Method for Referees. Conceptual considerations about the development of a decision-making training method for expert soccer referees The Quiet Eye as a factor in Decision Making in Motor Performance The Role of Attention and Movement Variability in the Production of Skilled Performance Index.
Utilization of focused antenatal care in Zambia: examining individual- and community-level factors using a multilevel analysis.

OBJECTIVES We examine the individual- and community-level factors associated with the utilization of antenatal care, following the adoption of the focused antenatal care (FANC) approach in Zambia. METHODS Using the 2007 Zambia Demographic and Health Survey, linked with administrative and health facility census data, we specify two multilevel logistic models to assess the factors associated with (1) the inadequate use of antenatal care (ANC) (defined as three or fewer visits) and (2) the non-use of ANC in the first trimester of pregnancy. RESULTS Although all women in the selected sample had at least one ANC visit, 40% did not have the minimum number required (four), whereas more than 80% of the initial check-ups did not occur in the first trimester. At the individual level, the woman's employment status, quality of ANC received and the husband's educational attainment are negatively associated, while parity, the household childcare burden and wealth are positively associated with inadequate utilization of ANC. Both individual- and community-level characteristics influence inadequate use and non-use of ANC in the first trimester; however, community-level factors are relatively stronger in rural areas. CONCLUSION The results suggest that improving the content of care during ANC visits may foster adequate use of ANC and encourage early initiation of ANC visits. Furthermore, health promotion programmes need to further encourage male involvement in pregnant women's decision to seek ANC to encourage adequate use of services.
Institutional Determinants of Foreign Direct Investment

In this paper, we contribute to the literature on the determinants of foreign direct investment in developing countries and re-evaluate the role of the quality of institutions on FDI independently of the general level of development. We implement cross-section estimations based on a newly available database with unprecedented detail on institutions for a set of 52 countries, as well as panel data estimations based on Fraser Institute's data. Furthermore, we control for the correlation between institutions and GDP per capita and for endogeneity of institutions. Finally, we evaluate whether the similarity of institutions between the host and the origin country raises bilateral FDI. We find that a wide range of institutions, including bureaucracy, corruption, but also information, banking sector and legal institutions, do matter for inward FDI independently of GDP per capita. Interestingly, weak capital concentration and strong employment protection tend to reduce inward FDI. Institutional proximity between the origin and the host country also matters, but we find little impact of institutions in the origin country. These results are encouraging in the sense that efforts towards raising the quality of institutions and making them converge towards those of source countries may help developing countries to receive more FDI, independently of the indirect impact of higher GDP per capita. The orders of magnitude found in the paper are large, meaning that moving from a low level to a high level of institutional quality could have as much impact as suddenly becoming a neighbour of a source country.
Scalability and Performance of Random Forest based Learning-to-Rank for Information Retrieval

For a query submitted by a user, the goal of an information retrieval system is to return a list of documents which are highly relevant with respect to that query. Traditionally different scoring methods, ranging from simple heuristic models to probabilistic models, have been used for this task. Recently researchers have started to use supervised machine learning techniques for solving this problem which is then called the learning-to-rank (LtR) problem. Many supervised learning methods have been tested so far with empirical success over conventional methods [4] The random forest is a relatively simple but effective and efficient learning algorithm which aggregates the predictions of a large number of independent and variant base learners, namely decision trees. Its major benefits over other state-of-the-art methods include inherent parallelizability, ease of tuning and competitive performance. These benefits attract researchers across various disciplines where a random forest is a very popular choice. However, for LtR task, the random forest has not been thoroughly investigated. In this research, we investigate the random forest based LtR algorithms. We aim at improving the efficiency, effectiveness, and understanding of these algorithms. With respect to the first goal, we employ undersampling techniques and leverage the inherent structure of a random forest to achieve better scalability, especially for highly imbalanced datasets [2]. We also reduce the correlation among the trees to reduce learning time and to improve performance [3]. With respect to the second goal, we investigate various objective functions ranging from completely randomized splitting criterion to so-called listwise splitting [1]. We also conduct a thorough study on random forest based pointwise algorithms. With respect to the third goal, we develop methods for estimating the bias and variance of rank-learning algorithms, and examine their empirical behavior against parameters of the learning algorithm
International handbook on the preparation and development of school leaders

The Handbook focuses on global scholarship on educational leadership preparation and development at the primary and secondary education levels. This includes empirical studies, conceptual analyses, and critical interpretations of trends, challenges, and opportunities across the globe in the field of educational leadership development. The purpose is to provide an extensive review of the state of the art of leadership development in the primary and secondary educational contexts drawing on the work of leading scholars. The Handbook provides both a critical description of the current debates and issues in this area and an assessment of where the discipline of leadership development is headed. An international perspective is highly informative to the field given the global awareness of the importance of leadership in education and the increasing globalization of education in which borrowing of leadership development strategies and perspectives across national and regional borders is occurring. The handbook includes authors from a variety of national, cultural, and ideological perspectives to describe these issues and trends in educational leadership development. The collaboration of three major international professional associations facilitated extensive perspectives.
Big Data Meets Team Expertise in a Dynamic Task Environment

Objective; This research employs large-scale data from a massively multiplayer online game to examine the links between the composition, processes and outcomes of teams operating in high tempo, data-rich environments. Background: Research on the performance of teams– particularly over long time scales–is often expensive and time-consuming. But Big Data from competitive, team-based games can mitigate these costs. Methods: Data visualization techniques are used to explore team data harvested from publicly accessible sources for the online game League of Legends™, one of the most popular such games in the world. Results: The exploratory results suggest potentially complex relationships between team composition, processes and outcomes, and in particular how team composition and process may unfold over longer time spans. Conclusions: The results point to the potentially substantial benefits of large-scale studies of teamwork, and–in parallel–to the need for the development of tools, techniques and measures to bring Big Data to bear in teamwork studies. Application: This work demonstrates the feasibility of exploring online gaming data for new insights into team and individual performance.
Mammalian parenting : biochemical, neurobiological, and behavioral determinants

Norman A. Krasnegor: Biological and behavioral determinants of parenting in mammals: An introduction Part I. Four perspectives on parental behavior: Leon Eisenberg: The biosocial context of parenting in human families Martin Daly: Evolutionary theory and parental motives Jay S. Rosenblatt: Landmarks in the physiological study of maternal behavior with special reference to the rat Roger A. Gorski: Structural sexual dimorphisms in the brain: implications for parental behavior Part II. Biochemical correlates of parenting: Robert S. Bridges: Endocrine regulation of parenting behavior in rats Bruce B. Svare: Maternal aggression: hormonal, genetic, and developmental determinants Pascal Poindron, & Frederic Levy: Physiological, sensory, and experimental determinants of maternal behavior in sheep and goats C.L. Coe: Psychobiology of parental behavior in nonhuman primates Alison S. Fleming: Hormonal and experiential correlates of maternal responsiveness in human mothers Michelle P. Warren, & Barbara Shortle: Endocrine correlates of human parenting: a clinical perspective Part III. Neurobiological correlates of parenting: Michael Numan: Neural control of maternal behavior Thomas R. Insel: Oxytocin and maternal behavior E. Barry Keverne, & K.M. Kendrick: Neurochemical changes accompanying parturition and their significance for maternal behavior Barbara K. Modney, & Glenn I. Hatton: Motherhood modifies magnocellular neuronal interrelationships in functionally meaningful ways C.E. Grosvenor, G.V. Shah, & W.R. Crowley: Role of neurogenic stimuli and milk production in the regulation of prolactin secretion during lactation Part IV. Biobehavioral correlatesof parenting: Craig H. Kinsley: Prenatal and postnatal influences upon parental behavior in rodents Susan A. Brunelli, & Myron A. Hofer: Parental behavior in juvenile rats: environmental and biological determinants M. Leon, R. Coopersmith, L.J. Beasley, & R. *M. Sullivan: The role of mother-young contact in maternal care Jeffrey R. Alberts, & David J. Gubernick: Functional organization of dyadic and triadic parent-offspring systems Warren G. Holmes: Parent-offspring recognition in mammals: a proximate and ultimate perspective M.W. Yogman: Male parental behavior in humans and nonhuman primates Part V. Future directions in research research on mammalian parenting
Alcohol-Related Violence among the Australian Aboriginal and Torres Strait Islanders of the Northern Territory: Prioritizing an Agenda for Prevention-Narrative Review Article

Abstract Alcohol - related violence among Australian Aboriginal and Torres Strait Islanders (also called as “Indigenous”) is a major public health concern in Northern Territory of Australia. There is dearth of epidemiological data that link three contributing epidemics: alcohol misuse, violence, and trauma in the Northern Territory. In this review, we aimed to concentrate on how these epidemics intersect among the Indigenous people in the Northern Territory. In our descriptive review, we have searched published papers, publicly available government and health department reports web sites reporting relevant data on these three risk factors in the Northern Territory. The high rate of family and domestic violence and assaults in the Australian Territory indicates an increased correlation with high risk alcohol use compared to unintentional injuries. Heavy drinking pattern and harmful use of alcohol among Indigenous people are more likely to be associated with the incidence of violent assaults and physical injuries in the Northern Territory. We are trying to emphasize our understanding of co-occurring risk factors on the alcohol - violence relationship and urging a need for interventional approaches to reduce the public health issues in the Northern Territory.
Tolerance to high-intensity intermittent running exercise: do oxygen uptake kinetics really matter?

We examined the respective associations between aerobic fitness (V˙O2max), metabolic control (V˙O2 kinetics) and locomotor function, and various physiological responses to high-intensity intermittent (HIT) running exercise in team sport players. Eleven players (30.5 ± 3.6 year) performed a series of tests to determine their V˙O2max and the associated velocity (vV˙O2max), maximal sprinting speed (MSS) and V˙O2 kinetics at exercise onset in the moderate and severe intensity domains, and during recovery (V˙O2τoff SEV). Cardiorespiratory variables, oxygenation and electromyography of lower limbs muscles and blood lactate ([La]) concentration were collected during a standardized HIT protocol consisting in 8 sets of 10, 4-s runs. During HIT, four players could not complete more than two sets; the others finished at least five sets. Metabolic responses to the two first sets of HIT were negatively correlated with V˙O2max, vV˙O2max, and V˙O2τoff SEV (r = −0.6 to −0.8), while there was no clear relationship with the other variables. V˙O2, oxygenation and [La] responses to the first two sets of HIT were the only variables that differed between the players which could complete at least five sets or those who could not complete more than two sets. Players that managed to run at least five sets presented, in comparison with the others, greater vV˙O2max [ES = +1.5(0.4; 2.7), MSS(ES = +1.0(0.1; 1.9)] and training load [ES = +3.8 (2.8; 4.9)]. There was no clear between-group difference in any of the V˙O2 kinetics measures [e.g., ES = −0.1(−1.4; 1.2) for V˙O2τon SEV]. While V˙O2max and vV˙O2max are likely determinant for HIT tolerance, the importance of V˙O2 kinetics as assessed in this study appears limited in the present population. Knowing the main factors influencing tolerance to HIT running exercise may assist practitioners in personalizing training interventions.
Chk 1 / 2 Inhibition Overcomes the Cisplatin Resistance of Head and Neck Cancer Cells Secondary to the Loss of Functional p 53

Despite the use ofmultimodality therapy using cisplatin to treat patientswith advanced stage squamous cell carcinoma of the head and neck (HNSCC), there is an unacceptably high rate of treatment failure. TP53 is the most commonlymutated gene inHNSCC, and the impact of p53mutation on response to cisplatin treatment is poorly understood. Here, we show unambiguously that wild-type TP53 (wtp53) is associated with sensitivity of HNSCC cells to cisplatin treatment, whereasmutation or loss of TP53 is associatedwith cisplatin resistance. Wealso show that senescence is themajor cellular response to cisplatin inwtp53HNSCCcells and that cisplatin resistance in p53-null or -mutant TP53 cells is due to their lack of senescence. Given the dependence on checkpoint kinase (Chk)1/2 kinases to mediate the DNA damage response in p53-deficient cells, there is potential to exploit this to therapeutic advantage through targeted inhibition of the Chk1/2 kinases. Treatment of p53-deficientHNSCC cellswith theChk inhibitorAZD7762 sensitizes them to cisplatin through induction of mitotic cell death. This is the first report showing the ability of a Chk kinase inhibitor to sensitize TP53-deficient HNSCC to cisplatin in a synthetic lethalmanner, which has significance given the frequency of TP53mutations in this disease and because cisplatin has becomepart of standard therapy for aggressiveHNSCC tumors. These preclinical data provide evidence that a personalized approach to the treatment of HNSCC based on Chk inhibition in p53-mutant tumors may be feasible. Mol Cancer Ther; 12(9); 1860–73. 2013 AACR.
Genomes of Two New Ammonia-Oxidizing Archaea Enriched from Deep Marine Sediments

Ammonia-oxidizing archaea (AOA) are ubiquitous and abundant and contribute significantly to the carbon and nitrogen cycles in the ocean. In this study, we assembled AOA draft genomes from two deep marine sediments from Donghae, South Korea, and Svalbard, Arctic region, by sequencing the enriched metagenomes. Three major microorganism clusters belonging to Thaumarchaeota, Epsilonproteobacteria, and Gammaproteobacteria were deduced from their 16S rRNA genes, GC contents, and oligonucleotide frequencies. Three archaeal genomes were identified, two of which were distinct and were designated Ca. “Nitrosopumilus koreensis” AR1 and “Nitrosopumilus sediminis” AR2. AR1 and AR2 exhibited average nucleotide identities of 85.2% and 79.5% to N. maritimus, respectively. The AR1 and AR2 genomes contained genes pertaining to energy metabolism and carbon fixation as conserved in other AOA, but, conversely, had fewer heme-containing proteins and more copper-containing proteins than other AOA. Most of the distinctive AR1 and AR2 genes were located in genomic islands (GIs) that were not present in other AOA genomes or in a reference water-column metagenome from the Sargasso Sea. A putative gene cluster involved in urea utilization was found in the AR2 genome, but not the AR1 genome, suggesting niche specialization in marine AOA. Co-cultured bacterial genome analysis suggested that bacterial sulfur and nitrogen metabolism could be involved in interactions with AOA. Our results provide fundamental information concerning the metabolic potential of deep marine sedimentary AOA.
Cas9 Nickase-Assisted RNA Repression Enables Stable and Efficient Manipulation of Essential Metabolic Genes in Clostridium cellulolyticum

Essential gene functions remain largely underexplored in bacteria. Clostridium cellulolyticum is a promising candidate for consolidated bioprocessing; however, its genetic manipulation to reduce the formation of less-valuable acetate is technically challenging due to the essentiality of acetate-producing genes. Here we developed a Cas9 nickase-assisted chromosome-based RNA repression to stably manipulate essential genes in C. cellulolyticum. Our plasmid-based expression of antisense RNA (asRNA) molecules targeting the phosphotransacetylase (pta) gene successfully reduced the enzymatic activity by 35% in cellobiose-grown cells, metabolically decreased the acetate titer by 15 and 52% in wildtype transformants on cellulose and xylan, respectively. To control both acetate and lactate simultaneously, we transformed the repression plasmid into lactate production-deficient mutant and found the plasmid delivery reduced acetate titer by more than 33%, concomitant with negligible lactate formation. The strains with pta gene repression generally diverted more carbon into ethanol. However, further testing on chromosomal integrants that were created by double-crossover recombination exhibited only very weak repression because DNA integration dramatically lessened gene dosage. With the design of a tandem repetitive promoter-driven asRNA module and the use of a new Cas9 nickase genome editing tool, a chromosomal integrant (LM3P) was generated in a single step and successfully enhanced RNA repression, with a 27% decrease in acetate titer on cellulose in antibiotic-free medium. These results indicate the effectiveness of tandem promoter-driven RNA repression modules in promoting gene repression in chromosomal integrants. Our combinatorial method using a Cas9 nickase genome editing tool to integrate the gene repression module demonstrates easy-to-use and high-efficiency advantages, paving the way for stably manipulating genes, even essential ones, for functional characterization and microbial engineering.
Three essays on applied time series econometrics

from effects of the financial crisis. Precise data sources are given in the appendix. Time series plots for the accession country data series are given in Figures 2.1-2.4. It is obvious from Figures 2.1-2.4 that at least some variables show trending behaviour. A unit root analysis (results not shown) indicates that the unit root hypothesis cannot be rejected for the all the considered time series and that most of them can be characterized as integrated of order 1, I(1). Against the background that the variables may be cointegrated, we follow the standard practice in this line of the literature and specify VAR models for the levels of the variables. This avoids the false cancelation of long-run relationship between the variables. Also note that the beginning of the sample is characterized by more volatile movements e.g. in interest rates, most likely due to effects related to transitional processes. For instance, Czech Republic and Slovakia abandoned the fixed exchange rates to the Deutsche Mark an inflation-targeting framework was adopted by the Czech national bank in December 1997 and in October 1998 a similar policy was adopted by the National Bank of Slovakia. To account for external influences we extract factor time series from (a) a large set of macroeconomic time series from EMU countries and (b) from sets of accession countries. To extract the EMU factors we use data from 11 EMU member states4 on industrial output, CPI and producer price index, shortand long-term interest rates, exchange rates, share prices, unemployment, imports and exports. Again, the data sources are listed in the appendix. The EMU data set is composed of 107 time series.5. Similarly, for a similar set of variables we collect data for the four accession countries Czech Republic, Hungary, Poland and Slovakia. The list of variables coincides with the one given for the EMU countries except that we have no observation on the long-term interest rates. Thus for each country we have only 9 variables available. 2.3. 2 EMU and Accession Country Factors Time Series For the factor extraction step, the time series have to be transformed to stationarity. We follow the standard practice in the factor literature (see e.g. Stock and Watson, 2002b) and transform the variables to stationarity by either taking first differences or first differences The countries used are the original 11 EMU members Austria, Belgium, Finland, France, Germany, Italy, Ireland, Luxembourg, Netherlands, Spain and Portugal. There are no series for the short term interest rate and share prices for Luxembourg, and no unemployment series for Austria is available. Consequently, the EMU data consists of 10 time series for each 11 countries minus three (10 × 11 − 3 = 107).