Miracle-dz/UniFAR-FTUs huggingface dataset:
Is physical activity or physical fitness more important in defining health benefits?

PURPOSE We addressed three questions: 1) Is there a dose-response relation between physical activity and health? 2) Is there a dose-response relation between cardiorespiratory fitness and health? 3) If both activity and fitness have a dose-response relation to health, is it possible to determine which exposure is more important? METHODS We identified articles by PubMed search (restricted from 1/1/90 to 8/25/00) using keywords related to physical activity, physical fitness, and health. An author scanned titles and abstracts of 9831 identified articles. We included for thorough review articles that included three or more categories of activity or fitness and a health outcome and excluded articles on clinical trials, review papers, comments, letters, case reports, and nonhuman studies. We used an evidence-based approach to evaluate the quality of the published data. RESULTS We summarized results from 67 articles meeting final selection criteria. There is good consensus across studies with most showing an inverse dose-response gradient across both activity and fitness categories for morbidity from coronary heart disease (CHD), stroke, cardiovascular disease (CVD), or cancer; and for CVD, cancer, or all-cause mortality. CONCLUSIONS All studies reviewed were prospective observational investigations; thus, conclusions are based on Evidence Category C. 1) There is a consistent gradient across activity groups indicating greater longevity and reduced risk of CHD, CVD, stroke, and colon cancer in more active individuals. 2) Studies are compelling in the consistency and steepness of the gradient across fitness groups. Most show a curvilinear gradient, with a steep slope at low levels of fitness and an asymptote in the upper part of the fitness distribution. 3) It is not possible to conclude whether activity or fitness is more important for health. Future studies should define more precisely the shape of the dose-response gradient across activity or fitness groups, evaluate the role of musculoskeletal fitness, and investigate additional health outcomes.
The Comovement Between Output and Prices: Evidence from Canada

This paper employs a multivariate dynamic conditional correlation GARCH model to detect the timing and nature of plausible changes in the comovement between Canadian output and prices beginning in 1920. The conditional correlation between output and prices varies periodically and, particularly in periods after the 1960s, it changes from positive to negative. Both output and price series exhibit structural breaks in conditional means, but allowing for such breaks does not alter the major findings on their comovement behavior.
China's Capitalism

Th e paper combines a broad theoretical framework of comparable capitalism with the insights from new economic sociology and new institutional economics to understand and assess mechanisms of China’s evolution. During the last three decades China’s economic system has undergone a great transformation from communism to some form of state-led capitalism. Th e evolutionary approach that balanced the interests of economic and political actors led to the gradual introduction of a capitalist institutional framework, but also preserved the immense role of the Communist Party. In the course of the reforms, former direct control over the economy has been replaced by more discretionary measures like corporate governance (which conserved the extensive patronage system), and Party affi liation (which allowed for political penetration of the private sector). Supplying examples of mounting economic waste, I argue that China’s present variety of capitalism is hardly an optimal solution, and the further development will strictly depend on state and Party withdrawal from economic contorl.
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

The Deep Learning (DL) community sees many novel topologies published each year. Achieving high performance on each new topology remains challenging, as each requires some level of manual effort. This issue is compounded by the proliferation of frameworks and hardware platforms. The current approach, which we call"direct optimization", requires deep changes within each framework to improve the training performance for each hardware backend (CPUs, GPUs, FPGAs, ASICs) and requires $\mathcal{O}(fp)$ effort; where $f$ is the number of frameworks and $p$ is the number of platforms. While optimized kernels for deep-learning primitives are provided via libraries like Intel Math Kernel Library for Deep Neural Networks (MKL-DNN), there are several compiler-inspired ways in which performance can be further optimized. Building on our experience creating neon (a fast deep learning library on GPUs), we developed Intel nGraph, a soon to be open-sourced C++ library to simplify the realization of optimized deep learning performance across frameworks and hardware platforms. Initially-supported frameworks include TensorFlow, MXNet, and Intel neon framework. Initial backends are Intel Architecture CPUs (CPU), the Intel(R) Nervana Neural Network Processor(R) (NNP), and NVIDIA GPUs. Currently supported compiler optimizations include efficient memory management and data layout abstraction. In this paper, we describe our overall architecture and its core components. In the future, we envision extending nGraph API support to a wider range of frameworks, hardware (including FPGAs and ASICs), and compiler optimizations (training versus inference optimizations, multi-node and multi-device scaling via efficient sub-graph partitioning, and HW-specific compounding of operations).
Advancing Firm Growth Research: A Focus on Growth Mode Instead of Growth Rate

The development of firm growth research has been notably slow. In this paper, we argue that a major reason for this lack of development is the impatience of researchers to prematurely address the question of “how much? ” before adequately providing answers to the question “how? ” On the basis of an extensive review of the literature, we suggest how growth research can advance by changing focus to growth mode (organic, acquisition, hybrid). Toward this end, we provide a research agenda that helps establish the types of questions that growth researchers can ask within this new focus.
Variable Temperature Broadband Microwave and Millimeter-Wave Characterization of Electrochromic (WO3/LiNbO3/NiO) Thin Films

This paper reports for the first time, the dielectric characterization of a new, electronically tuneable electrochromic (EC) thin-film material over the frequency range 1–67 GHz, at temperatures of 7 °C, 23 °C, and 50 °C. Test cells composed of a microstrip line terminated with coplanar waveguide (CPW) transitions were fabricated to facilitate on-wafer RF measurements and the application of different bias voltages using a standard CPW probe station. A precise curve-fitting technique based on full-wave simulations was used to extract the permittivity and loss tangent values of the material. The validity of the dielectric extraction technique was first demonstrated by employing a known material, silicon dioxide (SiO2). It is shown that the dielectric tunability of the EC material varies between 11.3% (1 GHz) and 7.5% (67 GHz) at 23 °C, and the measured loss tangent varies between 0.012 (OFF, 0 V, state) and 0.025 (ON, 6 V, state). Above room temperature, the devices exhibit higher values of dynamic tunability and a small increase in insertion loss. The results obtained for this first generation of tuneable EC material are encouraging, and many of the dielectric properties are shown to compare favourably with other, more mature bulk tuneable media, such as liquid crystals.
SEDEA: A Sensible Approach to Account DRAM Energy in Multicore Systems

As the energy cost in todays computing systems keeps increasing, measuring the energy becomes crucial in many scenarios. For instance, due to the fact that the operational cost of datacenters largely depends on the energy consumed by the applications executed, end users should be charged for the energy consumed, which requires a fair and consistent energy measuring approach. However, the use of multicore system complicates per-task energy measurement as the increased Thread Level Parallelism (TLP) allows several tasks to run simultaneously sharing resources. Therefore, the energy usage of each task is hard to determine due to interleaved activities and mutual interferences. To this end, Per-Task Energy Metering (PTEM) has been proposed to measure the actual energy of each task based on their resource utilization in a workload. However, the measured energy depends on the interferences from co-running tasks sharing the resources, and thus fails to provide the consistency across executions. Therefore, Sensible Energy Accounting (SEA) has been proposed to deliver an abstraction of the energy consumption based on a particular allocation of resources to a task.In this work we provide a realization of SEA for the DRAM memory system, SEDEA, where we account a task for the DRAM energy it would have consumed when running in isolation with a fraction of the on-chip shared cache. SEDEA is a mechanism to sensibly account for the DRAM energy of a task based on predicting its memory behavior. Our results show that SEDEA provides accurate estimates, yet with low-cost, beating existing per-task energy models, which do not target accounting energy in multicore system. We also provide a use case showing that SEDEA can be used to guide shared cache and memory bank partition schemes to save energy.
Optimization of Production and Preliminary Characterization of New Exopolysaccharides from Gluconacetobacter hansenii LMG1524

The influence of different carbon and nitrogen sources, of ethanol concentration, the optimal pH, temperature and medium composition were evaluated on extracellular polysaccharides (EPS) synthesis and bacterial growth of Gluconacetobacter hansenii LMG1524, and preliminary characterization of EPS was investigated. The highest EPS yields were obtained using glycerol and ammonium sulphate as carbon and nitrogen sources, respectively. The increase of ethanol concentration in the medium did not influence the EPS synthesis but reduced the bacterial growth. The optimum temperature and pH for polysaccharides production were respectively 25℃ and 5; whereas for cell growth were respectively 30℃ and 4. The optimal culture medium composition was determined as follows: 10 g/L sucrose, 0.892 g/L (NH4)2SO4, 0.34 g/L NaNO3, 3 mL acetic acid, 1.5 g/L KH2PO4, 1.5 g/L K2HPO4 and 0.6 g/L MgSO4. The polysaccharides produced were of 14 and 10 polymerization degrees (DP) and constituted mainly of glucose, galactose and mannose, in relative percent of 36.36, 33.94 and 22.42, respectively.
Effect of Fertility on Female Labour Force Participation in the United Kingdom

This article aims to estimate the causal effect of fertility on the labour force participation of British women. In order to account for the possible endogeneity of fertility variables, the sex composition of the two previous children of a mother has been used as an instrument for fertility. The Two-stage Residual Inclusion (2SRI) estimation method is used on a relatively new British data set—‘Understanding Society’. The results suggest that fertility is indeed endogenous to the labour force participation decisions of women in the sample, and that not accounting for the endogeneity of the fertility variable leads to an exaggeration of the negative effect of fertility on female labour force participation. Important policy recommendations are drawn from the results. JEL Classification: J13, J22
Youths unemployment and crime in Nigeria: A nexus and implications for national development

Crime is a phenomenon that is bedeviling various countries across the globe in varying degrees as it affects policies and development. Any nation striving towards development must reduce the frequency of crime to the barest minimum. In recent years in Nigeria, there has been an upsurge in the frequency of crime committed. This has led to palpable fear among the populace as security of lives and properties can no longer be guaranteed. The phenomenon of crime has impacted negatively on the economic, social and political life of the nation over time. The youth population of any nation represents the driving force for development. However, for the youths to become useful resources, they must be gainfully employed. The youths are also the most volatile when their energies are misdirected or channeled into wrong endeavours. Available data show that youth employment is very rampant in Nigeria and this has contributed immensely to their involvement in criminal activities. The paper argues that criminal activities such as armed robbery, kidnapping, political thuggery, militancy and other social vices found among the unemployed and jobless youths have contributed greatly to the slow pace of development in Nigeria. The paper proffers that addressing youths’ unemployment will stem the tide of crime and foster rapid development in Nigeria. Key words: Crime, national development, youths’ unemployment, Nigeria.
Recent Improvements to the Government Finance Statistics Yearbook Database in Response to Analytical Needs

The demand for high quality detailed public finance statistics covering a globally representative sample of countries has increased dramatically during the recent financial crisis. Due to the complexity of public finance statistics, however, such data tend to be either available in oversimplified high level aggregates and lacking in methodological transparency, or, available with a great level of detail and a unified methodological approach yet overly complicated to understand. The IMF's Government Finance Statistics Yearbook (GFSY) withdata over an almost 40 year period for almost 140 countries is a valuable database but with a complex structure requiring some specialty knowledge that most data users do not have. The IMF's Statistics Department embarked on several initiatives to improve its accessibility. The purpose of this paper is to provide a non-technical overview of the methodology and advantages of the GFSY database and discussion of how the database is improving to better meet the needs of the user community.
Distributed adaptive output consensus control of second-order systems containing unknown non-linear control gains

ABSTRACT In this paper, we address the output consensus problem of tracking a desired trajectory for a group of second-order agents on a directed graph with a fixed topology. Each agent is modelled by a second-order non-linear system with unknown non-linear dynamics and unknown non-linear control gains. Only a subset of the agents is given access to the desired trajectory information directly. A distributed adaptive consensus protocol driving all agents to track the desired trajectory is presented using the backstepping technique and approximation technique of Fourier series (FSs). The FS structure is taken not only for tracking the non-linear dynamics but also the unknown portion in the controller design procedure, which can avoid virtual controllers containing the uncertain terms. Stability analysis and parameter convergence of the proposed algorithm are conducted based on the Lyapunov theory and the algebraic graph theory. It is also demonstrated that arbitrary small tracking errors can be achieved by appropriately choosing design parameters. Though the proposed work is applicable for second-order non-linear systems containing unknown non-linear control gains, the proposed controller design can be easily extended to higher-order non-linear systems containing unknown non-linear control gains. Simulation results show the effectiveness of the proposed schemes.
Do field position and playing standard influence athlete performance in wheelchair basketball?

ABSTRACT Improved understanding of mobility performance in wheelchair basketball is required to increase game performance. The aim of this study was to quantify the wheelchair-athlete activities of players in different field positions and of different playing standard during wheelchair basketball matches. From video analysis, absolute and relative duration and frequency of wheelchair movements and athlete control options were examined in 27 national standard and 29 international standard players during entire wheelchair basketball matches. Between-group factorial analysis of variances identified that national players drove more forward (42.6 ± 6.8 vs. 35.4 ± 3.7%; effect size Cohen’s d (ES) = 1.48) and started more often driving forward (33.9 ± 2.6 vs. 31.8 ± 2.8; ES = 0.77) during a match while the mean activity duration for a single driving forward activity was longer (4.3 ± 0.9 vs. 3.7 ± 0.6 s; ES = 0.75) than for international players. Furthermore, national players performed fewer rotational movements (21.8 ± 4.0 vs. 28.9 ± 7.8%; ES = –1.30) and started less often with the rotational movements (35.0 ± 3.6 vs. 40.5 ± 5.5; ES = –1.21) while the mean activity duration for a single rotation activity was shorter (2.1 ± 0.3 vs. 2.3 ± 0.3 s; ES = –0.67) than for international players. Differences in mobility performance among guard, forward and centre players were minimal. The results should help wheelchair basketball coaches specify wheelchair-handling training techniques and means to optimise wheelchair-athlete configurations.
Cattle as a Store of Wealth in Swaziland: Implications for Livestock Development and Overgrazing in Eastern and Southern Africa

The contention that cattle are held as a store of wealth in Swaziland is supported by a regression analysis of slaughter against price and rainfall, and by an examination of the Swazi herd structure. The failure to recognize that cattle directly satisfy both wealth and income motives in traditional societies has led to the implementation of production-oriented livestock development programs, which may worsen the serious overgrazing problem in Swaziland. Observations elsewhere indicate that there are lessons to be learned for livestock development in other overgrazed parts of eastern and southern Africa.
Safety Net for India's Poor or Waste of Public Funds? Poverty and Welfare in the Wake of the World's Largest Job Guarantee Program

This paper examines the effects of India's Mahatma Gandhi National Rural Employment Guarantee Act, currently the world's largest public employment program, on household consumption and poverty rates in rural India. Combining regionally coded data from consumption surveys with information on the district-wise rollout of the program, we employ a regression discontinuity design to estimate program effects during the years 2007 and 2008. We find large, season-specific effects among a traditionally deprived sub-group of the rural population, whose incomes are particularly dependent on agricultural wage labor. We find that for this group of households,which accounts for thirty percent of India's rural population, employment opportunities under the scheme have cut poverty during the agricultural lean season by as much as one half while we find no effect during the agricultural peak season. In a cost-benefit analysis we find that consumption increases among this group of households are of the same order of magnitude as the wage outlays of the program. We document that consumption among this group of households had previously exhibited severe systematic seasonal fluctuations and conclude that the employment program has had a lasting effect on consumption smoothing across agricultural seasons.
Costing alternative transfer modalities

Discussions regarding the merits of cash and food transfers focus on their relative impacts. Much less is known about their relative costs. Activity-based costing methods are applied to interventions situated in Ecuador, Niger, Uganda, and Yemen, finding that the per-transfer cost of providing cash is always less than food. Given the budget for these interventions, an additional 44,769 people could have received assistance at no additional cost had cash been provided instead of food. This suggests a significant opportunity cost in terms of reduced coverage when higher cost transfer modalities are used. Decisions to use cash or food transfers should consider both impacts and costs.
The Pricing of Options and Corporate Liabilities

If options are correctly priced in the market, it should not be possible to make sure profits by creating portfolios of long and short positions in options and their underlying stocks. Using this principle, a theoretical valuation formula for options is derived. Since almost all corporate liabilities can be viewed as combinations of options, the formula and the analysis that led to it are also applicable to corporate liabilities such as common stock, corporate bonds, and warrants. In particular, the formula can be used to derive the discount that should be applied to a corporate bond because of the possibility of default.
An Economic Evaluation of Beach Erosion Management Alternatives

This paper examines the relative economic efficiency of three distinct beach erosion management policies — beach nourishment with shoreline armoring, beach nourishment without armoring, and shoreline retreat. The analysis focuses on (i) the recreational benefits of beaches, (ii) the property value effects of beach management, and (iii) the costs associated with the three management scenarios. Assuming the removal of shoreline armoring improves overall beach quality, beach nourishment with shoreline armoring is the least desirable of the three alternatives. The countervailing property losses under a retreat strategy are of the same order of magnitude as the foregone management costs when the beneficial effects of retreat — higher values of housing services for those houses not lost to erosion — are considered. The relative desirability of these alternative strategies depends upon the realized erosion rate and how management costs change over time.
Empirical Performance of Option Pricing Models: Evidence from India

This paper empirically investigates the comparative competitiveness of the family of option pricing models categorized as deterministic and stochastic. Forecasting effectiveness of the models is judged on the basis of pricing accuracy of the models. For same this paper categorically examine the out-of-sample moneyness-maturity forecasting performance of models. Data set of Nifty index options of India is especially chosen for analyzing the effectiveness of models. Pricing imperfections of models is compare and contrasted with the market price of the options. Cross competitiveness of the models is empirically testifies with the benchmark Black-Scholes but relative to market using well-known technique of error metrics. Expected price of the models inferred analytically by estimating the parameters of the models continuously, almost every day. The models are inter-pass through the recent waves of financial upheavals and has been put into a practical implication of fastest descending movement of Indian capital market. We found that the Practitioner Black-Scholes and Heston model has smaller out of sample valuation errors in pricing Nifty Index options than the Constant Elasticity of Variance, Gram-Charlier, and Hull & Whit models, but no models eliminates price bias completely.