Miracle-dz/UniFAR-FTUs huggingface dataset:
omparing the effects of feeding a grain-or a fish meal-based diet on water uality , waste production , and rainbow trout Oncorhynchus mykiss performance ithin low exchange water recirculating aquaculture systems

Feeding a fish meal-free grain-based diet (GB) was compared to feeding a fish meal-based diet (FM) relative to water quality criteria, waste production, water treatment process performance, and rainbow trout Oncorhynchus mykiss performance within six replicated water recirculating aquaculture systems (WRAS) operated at low exchange (0.26% of the total recycle flow; system hydraulic retention time = 6.7 days). Rainbow trout (214 ± 3 g to begin) were fed the GB diet within three WRAS and the FM diet within the other three WRAS for 3 months. Feeding the GB diet resulted in significantly greater total ammonia nitrogen (TAN) throughout the study, as well as significantly greater total suspended solids (TSS) and carbonaceous biochemical oxygen demand (BOD) over the greater part of the study. Greater counts of fine solids (2–30 m) were associated with the GB diet. Water clarity was improved for the GB diet as reflected by significantly reduced true color and increased ultraviolet transmittance. Total and dissolved phosphorous, as well as the daily mass captured per kg feed of total phosphorous were significantly lower within the effluent associated with the GB diet. The daily mass of total nitrogen and TSS captured per kg feed and discharged from each WRAS was equal between diets, but waste load among three discharge flows varied. Waste removal efficiency across unit processes was similar between diets, with the exception of solids removal efficiency across the microscreen drum filter and the radial flow settler, which was generally lower for the GB diet. Rainbow trout growth, feed conversion, condition factor, and survival were similar between diets. Survival was 99.5 ± 0.2% for both diet treatments. Skin-on fillet yield and whole-body protein levels were significantly greater at the end of the study for trout fed the GB diet. Overall, the GB diet evaluated during the present study proved to be a viable feed option for use within a low exchange WRAS. However, further refinements to grain-based diet formulations and/or use of ozone to improve water quality when feeding GB diets within low exchange WRAS could be beneficial. © 2012 Elsevier B.V. All rights reserved.
Science , Health and Individual Subjectivities : Health Publics

This article builds on current debates on modern science and its relationship to individuals in terms of the problematization of health as it occurs at the intersection of its public dimension (as linked to the scientific and biomedical paradigm) and an individual, subjective and lay experience. Based on reflections arising in these debates on the crises of science and ‘science publics,’ we analyze some of the social transformations that have occurred in the field of health that are also framed by a moment of crisis, problematizing the relationship that laymen have with the knowledge and practices of health in contemporary Western societies. We bring the concept of ‘publics’ to this debate, which suggests the exploration of ‘health publics. ’ This concept has the potential to be useful for the analysis of the relationship of a growing group of informed, reflexive, participatory and critical individuals to the knowledge and practices of health in this period of late modernity.
PERFORMANCE ANALYSIS OF CASCADED MULTILEVEL INVERTER WITH PI AND NEURAL TECHNIQUES FOR AGRICULTURAL

Harmonic content and Total Harmonic Distortion (THD) are the major power quality issue in electrical power system. Similarly harmonics are the non-integer multiples of the fundamental frequency. The performance of multi level inverter is analysed with PI and neural network controller with open loop and closed loop control. The open loop, conventional PI and neural network are designed for closed loop control of cascaded multilevel inverter to reduce the harmonics. The comparison is made for open loop and closed loop with PI and neural network. The comparison results reveal that the THD is reduced to about less than 5% with neural network control compared to open loop control. Switching angles can be calculated by neural network technique and this method is suitable for real-time applications. Particularly used in agricultural field with irrigation purpose. This method can be applied for any levels of multilevel inverter, The performance is analyzed with matlab simulink MATLAB 7.8 Keywords— Multi-level inverter, Total Harmonic Distortion (THD), PI controller, Neural Network (NN), and Modulation Index (M)
DEVELOPMENT OF SEISMIC PERFORMANCE EVALUATION PROCEDURES IN BUILDING CODE OF JAPAN

1 International Institute of Seismology and Earthquake Engineering, (MOC), Japan. Email: midori@kenken.go. jp 2 Director, Codes and Evaluation Research Center, BRI, MOC 3 Head, Construction Techniques Div. , BRI, MOC. 4 Head, Structural Dynamics Div. , BRI, MOC. 5 Head, Structure Div. , BRI, MOC. 6 Senior Research Engineer, Structure Div. , BRI, MOC DEVELOPMENT OF SEISMIC PERFORMANCE EVALUATION PROCEDURES IN BUILDING CODE OF JAPAN
Review of Classification Using Genetic Programming

Genetic programming (GP) is a powerful evolutionary algorithm introduced to evolve computer programs automatically. It is a domain independent, stochastic method with an important ability to represent programs of arbitrary size and shape. Its flexible nature has attracted numerous researchers in data mining community to use GP for classification. In this paper we have reviewed and analyzed tree based GP classification methods and propose taxonomy of these methods. We have also discussed various strengths and weaknesses of the technique and provide a framework to optimize the task of GP based classification.
A comparison between self-similarity of network traffics for different protocols

Self-similarity is a phenomenon that is involved in computer network literature during last two decades and plays a significant role in modelling of network traffic. It is proved that real network traffic is self-similar and its characteristics differ from exponential traffics such as Poisson based distributions. Proposed models of network traffic are crucial to improving QoS of networks. Consequently, self-similarity must be considered in network traffic models to achieve more appropriate QoS. In this paper, we analyse two sets of real traffic which are captured from diverse regions. We examine the effect of various conditions on self-similarity of network traffic. Hurst parameter of each sets are calculated and we discuss why there are differences between Hurst parameter of them. Moreover, we categorize our traffic sets based on protocols and compute Hurst parameter of each category which itself is divided to traces of different areas. Subsequently, we compare calculated Hurst parameters within each category and discuss why there are discrepancies between them. At last, according to our observations, we explain whether infrastructure circumstances could affect self-similarity of network traffic.
A JOINT RESEARCH ON MICROTREMORS IN FUKUI BASIN , JAPAN-FOR SITE EFFECTS EVALUATION DURING THE 1948 FUKUI ( JAPAN ) EARTHQUAKE

A joint research project on application of microtremors has been promoted since 1997 with the support from the Ministry of Education, Science and Culture, Japan. One of principal research activities in 1997 was to have made joint microtremor measurements in the Fukui basin, Japan. Because the 1948 Fukui earthquake was really a catastrophic disaster including 3,769 deaths and 36,200 totally collapsed houses, but there was only a few information about seismic, geological and geotechnical data in the area. The joint microtremor measurements provided additional information such as the distribution of predominant period, the distribution of amplification characteristics due to local soil conditions, although we must be very careful about the fundamental characteristics of microtremors. Such results enabled us to discuss the site effects comparing them with the damage distribution during the 1948 Fukui earthquake.
Policy Retrospectives

Mounting evidence across different disciplines suggests that early-life conditions can have consequences on individual outcomes throughout the life cycle. Relative to other developed countries, the United States fares poorly on standard indicators of early-life health, and this disadvantage may have profound consequences not only for population well-being, but also for economic growth and competitiveness in a global economy. In this paper, we first discuss the research on the strength of the link between early-life health and adult outcomes, and then provide an evidence-based review of the effectiveness of existing U.S. policies targeting the early-life environment. We conclude that there is a robust and economically meaningful relationship between early-life conditions and well-being throughout the life cycle, as measured by adult health, educational attainment, labor market attachment, and other indicators of socioeconomic status. However, there is some variation in the degree to which current policies in the United States are effective in improving early-life conditions. Among existing programs, some of the most effective are the Special Supplemental Program for Women, Infants, and Children (WIC), home visiting with nurse practitioners, and high-quality, center-based early-childhood care and education. In contrast, the evidence on other policies such as prenatal care and family leave is more mixed and limited. C © 2014 by the Association for Public Policy Analysis and Management.
5 A . 3 SUBFILTER-SCALE SCALAR TRANSPORT FOR LARGE-EDDY SIMULATION

Large-eddy simulation (LES) is an important tool for studying meso-scale atmospheric flow fields, where practical grid sizes are much larger than what is required to resolve all of the turbulent motions. The quality of the subfilter-scale (SFS) model used to represent the unresolved motions is thus very important for accurate calculations. Cederwall and Street (1999) showed that use of an improved SFS model revealed turbulent episodes known to occur in the stable boundary layer that were not found in previous simulations. The transport of pollutants or suspended matter is difficult to model but is of particular interest in the atmospheric boundary layer (ABL). Most simulations use an eddy diffusivity model in which the SFS transport terms are aligned with the resolved-scale strain rate and are dissipative. Here, a series expansion model is proposed for the unclosed terms of the scalar transport equation, analogous to the model presented by Street (1999) and Katopodes et al. (2000) for the momentum equation. This model has no free parameters, is straightforward to derive, and correlates very well with direct numerical simulation (DNS) data in a priori tests. The model is of scalesimilar form, and thus allows backscatter, or scalar flux from the small to the large scales. This is believed to be especially important when the large scales are not fully resolved in the ABL (Mason and Thomson 1992). To model the unclosed SFS terms in the scalar transport equation, we use successive inversion of a Taylor series expansion to express the unfiltered velocity and scalar concentration in terms of their filtered (resolved) counterparts. We then derive SFS models of arbitrary order of accuracy in the filter width. Furthermore, the SFS model satisfies the evolution equations for the SFS scalar transport to the specified order of accuracy. In this paper, we present the derivation of the new SFS model, followed by preliminary tests of the model using a priori tests with DNS data of sheared, stably-stratified homogeneous turbulence. We then describe the implementation of this model and future tests, and close with a summary.
Phantom Results from Panel Regressions

This paper examines current practice with respect to serial correlation in studies that rely on regression analysis of panel datasets. It first examines how frequently various techniques for dealing with serial correlation are used. Next, it runs a horse race using Monte Carlo simulation to establish how well each works in this context. Test sizes based on clustered standard errors are considerably more accurate than those of any of the common alternatives. Finally, it applies the results of the simulation to about one-quarter of the articles from the survey that can be grouped into four research programs. This leads to severe pruning in each line and to a dramatically changed assessment of the overall findings in two of the four.
28 University-based Economic Growth

Many public policies are based on the popular assumption that investment in university research and infrastructure benefits regional economies. After all, we live in a knowledge economy and universities are seen as a core element of a regional intellectual infrastructure—an essential factor in building technology-based industries and competitive firms. This argument is attractive to many politicians who seek to promote economic growth, and economic development has become the third mission of universities (Etzkowitz, 2003). Still, there are skeptics who doubt the ability of universities to promote economic development (Feller, 1990) and who worry about the effect of this emphasis on the integrity of the academic enterprise (Slaughter and Leslie, 1997). Leaving normative concerns aside, this chapter examines the relations between higher education, industry and economic development. We provide a review of the literature with emphasis on how universities impact economic development and technological change with specific emphasis on the places where they are located. A body of empirical work concludes that universities are necessary but not sufficient for positive regional economic outcomes. The operative question is under which circumstances universities affect economic growth; specifically, what characteristics of universities promote knowledge transfer and what characteristics of places promote knowledge absorption? While we debate the merits of increased emphasis on commercial activity, universities are moving aggressively into active technology transfer and engagement with commercial activity. The operative question here is how to best manage these relationships to ensure that all of society’s goals are met. This chapter begins by introducing the student of higher education to the theoretical background of university-based growth, including major concepts of increasing returns to scale and institutional economies. The following section looks at the ways universities affect regional economies and addresses the literature that presents the concepts of tacit and codified knowledge and agglomeration economies to explain the mechanisms of knowledge spillovers from universities to companies and industries. The concept of regional innovation systems (RIS) helps to place universities within regional economies and makes a framework to observe the evolution of the universities’ role in the regional economy from the concept of learning regions to the model of university products, where universities are presented as endogenous to the regional systems. The conclusions in the chapter synthesize the thoughts behind the literature on economic development theories and the knowledge spillovers concept, suggesting the major hypothesized systems linking
Extreme High Performance Computing or Why Microkernels Suck

One often wonders how well Linux scales. We frequently get suggestions that Linux cannot scale because it is a monolithic operating system kernel. However, microkernels have never scaled well and Linux has been scaled up to support thousands of processors, terabytes of memory and hundreds of petabytes of disk storage which is the hardware limit these days. Some of the techniques used to make Linux scale were per cpu areas, per node structures, lock splitting, cache line optimizations, memory allocation control, scheduler optimizations and various other approaches. These required significant detail work on the code but no change in the general architecture of Linux. The presentation will give an overview of why Linux scales and shows the hurdles microkernels would have to overcome in order to do the same. The presentation will assume a basic understanding of how operating systems work and familiarity with what functions a kernel performs.
Wave Field Synthesis using Fractional Order Systems and Fractional Delays

A discretization of the generalized 2.5D wave field synthesis driving functions is proposed in this paper. Time discretization is applied with special attention to prefiltering that involves half-order systems and to delaying that involves fractional-sample delays. Space discretization uses uniformly distributed loudspeakers along arbitrarily shaped contours. Visual and numerical comparisons between continuous and discrete synthesis with line, square and circular arrays are shown. An immersive soundscape composed of nature sounds is reported as example. Simulations have been done with MATLAB and real-time reproduction with Pure Data. Simulations of synthesized plane and spherical wave fields, in the whole listening area, report a percentage discretization error of less than 1%, using a 5 order IIR filter for prefiltering and a 3 order IIR filter per channel for fractional delaying.
Structural Models of Family Health Strengths of Women who have Migrated to Korea through Marriage +

Purpose: The purpose of this research is to build a theoretical structural model to explain the factors and routes affecting the family health strengths of married migrant women. Methods: The research designed on a predictive structural model for the family health strengths of married migrant women based on Bronfenbrenner's ecological system theory and Mercer's motherhood theory. A survey was conducted from September 5, 2016 to October 25, 2016 through multicultural centers, support organizations, self-help religious meetings and snowball sampling of regional communities in three districts of D, G, and N in Seoul, securing a total of 213 participant data. The women who have migrated to Korea through marriage have minor children, and are living with their husbands and children. Results: The variables that had statistically significant direct effects on family health strengths were marital communication (γ=.58, t=10.59) and mother-child interaction (γ=.39, t=7.26), and the explanatory power was 62.1%. Family health strengths were significantly associated with marital communication and mother-child interaction in direct effects, acculturative stress and parenting efficacy in indirect effects, acculturative stress, parenting efficacy, marital communication, and mother-child interaction in total effects (p<. 05). Conclusion: When developing nursing strategy programs and policies to maintain and increase the family health strengths of married migrant women who have husbands and children, plans to reduce acculturative stress and to increase the factors related to parenting efficacy, marital communication, and mother-child interaction will have to be focused on.
Dynamic Modeling of McKibben Muscle Using Empirical Model and Particle Swarm Optimization Method

This paper explores empirical modeling of McKibben muscle in characterizing its hysteresis behavior and nonlinearities during quasi-static, quasi-rate, and historic dependencies. The unconventional materials-based actuating system called McKibben muscle has excellent properties of power-to-weight ratio, which could be used in rehabilitation orthosis application for condition monitoring, physical enhancement, and rehabilitation therapy. McKibben muscle is known to exhibit hysteresis behavior and it is rate-dependent (the level of hysteresis depends closely on rate of input excitation frequency). This behavior is undesirable and it must be considered in realizing high precision control application. In this paper, the nonlinearities of McKibben muscle is characterized using empirical modeling with multiple correction functions such as shape irregularity and slenderness. A particle swarm optimization (PSO) method is used to determine the best parametric values of the proposed empirical with modified dynamic friction model. The LabVIEW and MATLAB platforms are used for data analysis, modeling and simulation. The results confirm that this model able to significantly characterize the nonlinearities of McKibben muscle while considering all dependencies.
DikuSTM A Transactional Memory Library for C++ and C++0x Master's Thesis

As multicore processors become increasingly common, robust concurrent programming techniques are getting increasingly important. Locking mechanisms such as mutexes and monitors are commonly used, but are hard to use correctly, and do little to prevent common error situations such as race conditions, deadlocks and livelocks. Code written using these techniques also prevent programmers from abstracting away the implementation details of their code, as individually thread-safe pieces of code can not be safely composed into larger thread-safe components. Software Transactional Memory (STM) is an alternative concurrency model, which uses transactions as the basic synchronization mechanism; any code within a transaction is executed in isolation from other transactions and commits its changes atomically, providing semantics very similar to those known from database systems. In this work, strategies for designing and implementing a STM system in C++, and the upcoming language revision informally known as C++0x, are explored. With an emphasis on correctness and simplicity of use, generic programming techniques are used to design an elegant and general interface for library users, preserving compile-time type safety and minimizing the scope for programmer error, while also avoiding the performance penalty of run-time polymorphism. We also develop a double-buUered deferred update scheme, eliminating many of the problems typically associated with deferred update systems. As all transactional data is allocated in-place, we also avoid the extensive dynamic allocations and pointer indirections typically associated with indirection-based systems.
Improving Simulation Performance in Simulink

In Simulink, three modes affect simulation performance: Normal, Accelerator, and Rapid Accelerator (Figure 1). As their names imply, Accelerator is faster than Normal, and Rapid Accelerator is faster still. Each increase in speed typically means sacrificing another capability—for example, flexibility, interactivity, or diagnostics. In many cases, if you can work without one of these capabilities—at least temporarily—simulation performance will improve.