Miracle-dz/UniFAR-FTUs huggingface dataset:
Fish Meal Replacement and Early Mild Stress Improve Stress Responsiveness and Survival of Fish after Acute Stress

Simple Summary Early mild stress is a less-studied topic in aquaculture. Due to limitations in fish meal and oil resources as an obstacle for aquaculture sustainability, fish meal replacement has been widely investigated in different aquatic species but not oscars. This study investigated the effect of early mild stress (netting) and fishmeal replacement with meat and bone meal and their interactions on growth, hematology, blood biochemistry, immune responses, antioxidant system, liver enzymes, and stress responses of oscars. After the experiment, FM levels in diets did not affect growth data, but the survival rate after the acute confinement stress was lower in those fed not-enough fish meals. Further, exposing fish to too much early mild stress decreased growth and survival rate. Lower survival and growth rate in those treatments connected to the lowest blood performance, total protein, lysozyme, complement C4, complement C3, immuno-globulin, superoxide dismutase, catalase, glutathione peroxidase, and the highest glucose. Abstract Stress responsiveness and fish meal (FM) replacement are two of the most important concerns toward achieving sustainable aquaculture. The purpose of this study was to see how early mild stress (netting) and FM replacement with meat and bone meal (MBM) affected oscar (Astronotus ocellatus; 5.2 ± 0.9 g) growth, hematology, blood biochemistry, immune responses, antioxidant system, liver enzymes, and stress responses. Oscars were subjected to a 3 × 3 experimental design (three fish meal replacement levels: 250, 180 and 110 g/kg of FM in diets; three stress periods: 0-, 2- and 3-times early mild stress). After ten weeks of the experiment, FM levels in diets did not affect growth data, but the survival rate after the acute confinement (AC) stress was lower in 11FM treatments (47.7% compared to 67.7%) than others. Fish exposed to the 3Stress schedule had a lower growth (31.03 ± 6.50 g) and survival rate (55.5%) after the AC stress than the 2Stress group (38.92 ± 6.82 g and 70.0%). Lower survival and growth rate in the 3Stress and 11FM groups coincided with the lowest blood performance, total protein, lysozyme, complement C4, complement C3, immunoglobulin, superoxide dismutase, catalase, glutathione peroxidase, and the highest glucose, cortisol, low-density lipoprotein and aspartate aminotransferase serum levels. Altogether, this study revealed that it is possible to replace FM with MBM up to 28% (180 g/kg of FM) without negative effects on the growth and health of juvenile oscar as dietary 110 g/kg of FM impaired fish health. While fish welfare should be considered, we can conclude that mild stress (2Stress) during the farming period, but without adding excessive alternative protein sources, can improve the stress responsiveness of oscar.
All-optical wavelength conversion for mode-division multiplexing signals using four-wave mixing in a dual-mode fiber

All-optical wavelength conversion for mode-division multiplexing (MDM) signals is theoretically demonstrated by using the four-wave mixing (FWM) effect in a dual-mode fiber. The theoretical model is analyzed for FWM processes between a signal with two MDM channels (LP01 and LP11 modes) and a pump with LP01 and LP11 modes. A method is presented to realize mode-preserving wavelength conversion by simultaneously converting the two signal mode channels to the corresponding idler modes with low crosstalk. The required dispersion performance of the dual-mode fiber is determined, and the fiber structure is optimized to support the MDM wavelength conversion. The 3 dB MDM conversion bandwidth is predicted to be as broad as 69.3 nm with a conversion efficiency of −4.7 dB in a 200-m-long dual-mode fiber.
Local Topological Properties and One Point Extensions

In 1957, Mrowka [12] showed that a locally paracompact space admits a one point paracompactification (see also [2, Chapter 9, § 4, Exercise 27]). Similarly, in [9] Isiwata obtained a one point realcompactincation for locally realcompact spaces. Recently a number of authors (see [11, 16; 17; 18; 21]) have constructed one point P-extensions of local P-spaces for a variety of topological properties P. It is the purpose of this paper to draw together the various techniques used by the above mentioned authors and to study the set (lattice) of all one point P-extensions of a particular space.
Prediction of body weight on the basis of body measurements in karan fries cows and murrah buffaloes

The relationships between body weight (BW) and body measurements such as heart girth, body length, abdominal girth, height at hook and height at withers of 199 Karan Fries (KF) cows and 268 Murrah buffaloes of NDRI herd, were investigated. The principal objective was to develop a regression equation that could be used to estimate BW. The prediction equations developed to predict the body weight from the body measurements gave an accuracy of 72.24 percent (R2) in KF cows and 66.90 per cent (R2) in Murrah buffaloes. Body measurements, mainly HG and AG were better related with BW in both the breeds, KF cows (r = 0.78 and 0.74) and Murrah buffaloes(r = 0.72 and 0.75). So, HG or AG can alone be used for prediction of body weight.
Dynamic Modelling of the Diffusion in a Dyeing Process

Abstract A common goal of all dyers is to achieve the correct shade as early as the first dyeing. But the disperse dyeing process is very complex, being characterized by the diffusion-controlled sorption of dyes that depends on several physicochemical parameters such as dye concentration and temperature of application. Wilson and Hill developed equations describing the uptake of disperse dyes by cylindrical fibres as a function of the diffusion coefficient and the nature of the dyebath. This coefficient is a physical term that permits comparison between different dyeing experiments. However, the literature reveals no equation that expresses the influence of experimental parameters on the diffusion coefficient value. Thus, this work proposes a mathematical model describing the evolution of this diffusion coefficient for disperses dyes as a function of time, initial dye concentration, and the nature of the dyebath (finite or infinite).
An intersecting chord method for minimum circumscribed sphere and maximum inscribed sphere evaluations of sphericity error

As one of the Geometrical Product Specifications that are widely applied in industrial manufacturing and measurement, sphericity error can synthetically scale a 3D structure and reflects the machining quality of a spherical workpiece. Following increasing demands in the high motion performance of spherical parts, sphericity error is becoming an indispensable component in the evaluation of form error. However, the evaluation of sphericity error is still considered to be a complex mathematical issue, and the related research studies on the development of available models are lacking. In this paper, an intersecting chord method is first proposed to solve the minimum circumscribed sphere and maximum inscribed sphere evaluations of sphericity error. This new modelling method leverages chord relationships to replace the characteristic points, thereby significantly reducing the computational complexity and improving the computational efficiency. Using the intersecting chords to generate a virtual centre, the reference sphere in two concentric spheres is simplified as a space intersecting structure. The position of the virtual centre on the space intersecting structure is determined by characteristic chords, which may reduce the deviation between the virtual centre and the centre of the reference sphere. In addition,two experiments are used to verify the effectiveness of the proposed method with real datasets from the Cartesian coordinates. The results indicate that the estimated errors are in perfect agreement with those of the published methods. Meanwhile, the computational efficiency is improved. For the evaluation of the sphericity error, the use of high performance computing is a remarkable change.
Quantitative feedback control for multivariable model matching and disturbance rejection

This article extends two recent contributions in the field of quantitative feedback theory to the multivariable case. They concern the model matching and the measured disturbance rejection problems. The model matching problem is a tracking control problem with specifications given as acceptable deviations from an ideal response. The measured disturbance rejection problem balances feedback and feedforward actions to reject disturbances. Both perspectives present advantages over classical quantitative feedback theory techniques in certain situations. This paper develops the necessary tools to solve both control problems in the case of multi‐input multi‐output plants. In particular, it shows how to derive nonconservative controller bounds for each of the single‐input single‐output control problems in which the overall multivariable problem is divided. The result is a systematic controller design methodology for multi‐input multi‐output plants with structured uncertainty. The application of the technique to the well‐known quadruple‐tank process illustrates the benefits of the method. Copyright © 2016 John Wiley & Sons, Ltd.
How entropy-theorems can show that approximating high-dim Pareto-fronts is too hard

It is empirically established that multiobjective evolutionary algorithms do not scale well with the number of conflicting objectives. We here show that the convergence rate of any comparison-based multi-objective algorithm, for the Hausdorff distance, is not much better than the convergence rate of the random search, unless the number of objectives is very moderate, in a framework in which the stronger assumption is that the objectives have conflicts. Our conclusions are (i) the relevance of the number of conflicting objectives (ii) the relevance of random-search-based criterions (iii) the very-hardness of more than 3- objectives optimization (iv) some hints about new cross-over operators.
Physical mechanisms for limit-cycle oscillations of a cropped delta wing

This paper presents simulations of limit-cycle oscillations of a cropped delta wing using a computational technique that implicitly couples a full Navier-Stokes solver to a linear structural solver. Computational results are compared with existing experimental measurements of the limit-cycle response of the delta wing. The limit-cycle oscillation is shown to consist primarily of a response of the first bending mode and the first torsional mode. Aerodynamic features of the limit cycle identified include a leading-edge vortex and a double shock structure. The leading edge vortex acts like an aerodynamic spring and provides the physical mechanism for the evolution of the limit cycle on the delta wing. Computations are repeated using the Euler equations to determine if the inviscid flow equations adequately simulate the observed limit cycle response.
An Intercomparison of Sampling Methods for Uncertainty Quantification of Environmental Dynamic Models

Uncertainty quantification (UQ) of environmental dynamic models requires an efficient way to extract the information about the relationship between input parameter and model output. A uniformly scattered sample set is generally preferred over crude Monte Carlo sampling for its ability to explore the parameter space more effectively and efficiently. This paper compares eight commonly used uniform sampling methods along with the crude Monte Carlo sampling. The efficiency is measured by six uniformity metrics, while the effectiveness is measured by the goodness-of-fit of the surrogate models, and the sensitivity analysis and optimization results. We used two test problems: the Sobol’ g-function and the SAC-SMA hydrological model. The results show that among the sampling methods evaluated, the Good Lattice Points (GLP) and Symmetric Latin hypercube (SLH) have the highest uniformity scores, and the Ranked Gram-Schmidt (RGS) de-correlation algorithm can further improve the uniformity of the lattice sample sets. On the other hand, the Quasi-Monte-Carlo (QMC) methods, such as Halton and Sobol’ sequences, are not as uniform as their theoretical potential suggests when the number of sample points is low. Further, we found no clear relationship between the sampling methods used and their effectiveness, as the latter is affected by many factors other than the sampling methods, such as the choice of the surrogate modeling methods, sensitivity analysis and optimization methods, and the intrinsic properties of the dynamic models.
Power, sample size and adaptation considerations in the design of group sequential clinical trials

SUMMARY A class of flexible and asymptotically efficient group sequential designs is developed herein for one-sided and two-sided tests of the parameter of an exponential family. Efficiency is measured in terms of the expected sample size and power function, under prespecified constraints on the maximum sample size and Type I error probability. It is shown how these designs achieve asymptotic efficiency by adapting to the information about the unknown parameter during the course of the experiment. Moreover, they are very flexible and can circumvent the difficulties due to 'information time' versus 'calendar time' that arise in more complex settings such as time-sequential clinical trials comparing the failure times of two treatments.
Magnetic structure of ground and field-induced ordered states of low-dimensional α-CoV 2 O 6 : Experiment and theory

In this work, we investigate the magnetic properties of the monoclinic α-CoV2O6 by powder neutron diffraction measurements and ab initio calculations. An emphasis has been pointed towards the magnetic structure and the interaction between the Co ions leading to magnetic frustrations in this compound. Neutron diffraction experiments were carried out both in the ground state (zero magnetic field) and under applied external field of 2.5 and 5 T corresponding to the ferrimagnetic and ferromagnetic states, respectively. The antiferromagnetic ground state below 14 K corresponds to k = (1,0, 12 ) magnetic propagation vector in C1 space group. The magnetic structure can be described by ferromagnetic interactions along the chains (b axis) and antiferromagnetic coupling between the chains (along a and c axes). The ferrimagnetic structure implies a ninefold unit cell (3a, b, 3c) in which ferromagnetic chains follow an “up-up-down” sequence along the a and c axes. In the ferromagnetic state, the spin orientations remain unchanged while every chain lies ferromagnetically ordered. In all cases, the magnetic moments lie in the ac plane, along the CoO6 octahedra axis, at an angle of 9.3◦ with respect to the c axis. The magnetic structure of α-CoV2O6 resolved for all the ordered states is successfully related to a theoretical model. Ab initio calculations allowed us to (i) confirm the ground-state magnetic structure, (ii) calculate the interactions between the Co ions, (iii) explain the frustration leading to the stepped variation of the magnetization curves, (iv) calculate the orbital magnetic moment (1.5 μB ) on Co atoms, and (v) confirm the direction of the magnetic moments near the c direction.
Canada 150: Canadian Social Scientists and the Making of Public Policy since Confederation

Au Canada, depuis les années 1890, les spécialistes des sciences sociales ont activement participé à l’élaboration des politiques publiques, en tant que décideurs (élus ou hauts fonctionnaires), en tant que conseillers ou experts aux niveaux fédéral et provincial (par exemple grâce à des rapports ou à des études liées à des commissions royales d’enquête), ou en tant que faiseurs d’opinions ou de participants aux débats publics. L’histoire de cette participation reflète le développement et la transformation de la communauté des chercheurs : d’une part, l’économie politique, pratiquée par une poignée d’universitaires dans quelques universités, s’est divisée en plusieurs disciplines, et le nombre de spécialistes des sciences sociales s’est multiplié ; d’autre part, les liens de plus en plus étroits avec les spécialistes américains ont eu pour effet de réduire l’influence qu’avaient au Canada les spécialistes britanniques dans le domaine (e.g., Beveridge, Keynes, les fabiens) de même que, au Québec, celle des encycliques sociales papales.
Performance of wedge grafting in guava under different growing conditions

The experiment was conducted to find out the efficacy of wedge grafting on three guava cultivars during different months of year. Wedge grafting was tried in four months, viz. July (M1), August (M2), September (M3) and October (M4) on three varieties, namely Allahabad Safeda, Lucknow-49 and Allahabad Surkha under two different conditions, namely, polyhouse, and open field conditions. Wedge grafting in the month of July gave better result in polyhouse (77.17%) as well as in open field condition (66.43%). Polyhouse gave better response than open field conditions with respect to number of days taken to sprout, graft survival, number of leaves and length of sprouted shoot.
Topological properties of sectional-Anosov flows

We study sectional-Anosov flows on compact $3$-manifolds. First we prove that every periodic orbits represents an infinite order element of the fundamental group outside the strong stable manifolds of the singularities. Next, in the transitive case, we prove that the first Betti number of the manifold is positive, that the number of singularities is given by the Euler characteristic and that every boundary's connected component has nonpositive Euler characteristic. Moreover, there is one component with negative characteristic if and only if the flow has singularities. These results will be used to discuss the existence of transitive sectional-Anosov flows on specific compact 3-manifolds with boundary.
Function Spaces Determined by A Levelling Length Function

In this paper we introduce the function spaces Lx and Lx(5) which generalize the classical Lp and Lp(B) spaces respectively. For those λ which possess what we call the levelling property we give a discussion of the conjugate space to Lλ(B); our treatment applies, in particular, to the L(W) p(B) and M(W) q(B) spaces defined in [7, §2]. (See also the note at end of this paper.)
Estimation of Jump-Diffusion Processes With Shot-Noise Effects

This paper analyses the evolution through time of stock prices considering an extension of jump diffusion processes that incorporates Shot Noise effects. This extension follows the model recently proposed by Altmann et al (2004). The shot noise process introduces a new situation in which the jump effects may fade away on the long run. Thus, this model generalizes other specifications of jump diffusion models as, for instance, Merton (1976) and, then, implies a major flexibility of the model. In addition, many statistical distributions appear as marginal distributions for simple shot-noise processes. This paper provides a general expression for the distribution of the process, which is crucial for its estimation. We also present an estimation procedure based on spectral analysis and perform an exhaustive Monte Carlo study. Finally, an empirical application to real stock prices data is implemented reflecting evidence of shot noise effects in many of the series under analysis.
The "Haves" and the "Have Yachts": Socio-Spatial Struggles in London between the "Merely Wealthy" and the "Super-Rich"

Abstract:In the decade between 2007 and 2017 London changed fundamentally. This article is about how the actions of the transnational über-wealthy—the "have yachts"—impinged on the life-worlds of the "merely wealthy"—"the haves. " As the authors explore the conceptual utility of gentrification as a way of thinking about these seismic urban changes, they conclude that profound socio-spatial changes and new intensities in the financialization of housing, neighborhood tensions, and cultural dislocations are reshaping London as a plutocratic city and the lives of those who live there in historically unprecedented ways. The concept of "super-gentrification," the authors argue, does not adequately frame these circumstances.
Beneficial effects of trehalose and gentiobiose on human sperm cryopreservation

The protection of human sperm during cryopreservation is of great importance to infertility. Recent studies have shown that this area is still a long way from its ultimate aim of maintaining the maximum viability of sperm in cryopreservation. The present study used trehalose and gentiobiose to prepare the human sperm freezing medium during the freezing-thawing. The freezing medium of sperm was prepared with these sugars, and the sperm were then cryopreserved. The viable cells, sperm motility parameters, sperm morphology, membrane integrity, apoptosis, acrosome integrity, DNA fragmentation, mitochondrial membrane potential, reactive oxygen radicals, and malondialdehyde concentration was evaluated using standard protocols. A higher percentage of the total and progressive motility, rate of viable sperm, cell membrane integrity, DNA and acrosome integrity, and mitochondrial membrane potential were observed in the two frozen treatment groups compared to the frozen control. The cells had less abnormal morphology due to treatment with the new freezing medium than the frozen control. The higher malondialdehyde and DNA fragmentation were significantly observed in the two frozen treatment groups than in the frozen control. According to the results of this study, the use of trehalose and gentiobiose in the sperm freezing medium is a suitable strategy for sperm freezing to improve its motion and cellular parameters.
Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests

Goal: The goal of this manuscript is to investigate the optimal methods for extracting muscle synergies from a sit-to-stand test; in particular, the performance in identifying the modular structures from signals of different length is characterized. Methods: Surface electromyography signals have been recorded from instrumented sit-to-stand trials. Muscle synergies have then been extracted from signals of different duration (i.e. 5 times sit to stand and 30 seconds sit to stand) from different portions of a complete sit-to-stand-to-sit cycle. Performance have then been characterized using cross-validation procedures. Moreover, an optimal method based on a modified Akaike Information Criterion measure is applied on the signal for selecting the correct number of synergies from each trial. Results: Results show that it is possible to identify correctly muscle synergies from relatively short signals in a sit-to-stand experiment. Moreover, the information about motor control structures is identified with a higher consistency when only the sit-to-stand phase of the complete cycle is considered. Conclusions: Defining a set of optimal methods for the extraction of muscle synergies from a clnical test such as the sit-to-stand is of key relevance to ensure the applicability of any synergy-related analysis in the clinical practice, without requiring knowledge of the technical signal processing methods and the underlying features of the signal.