Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the stochastically forced invariant manifolds of dynamic systems

We consider the randomly forced invariant manifolds of nonlinear dynamic systems. To study the dispersion of random states near the general deterministic attractors, we discuss two approaches. The first approach is based on the approximation of the quasipotential, and the second one uses the linear extension systems. A new semi-analytical method based on the stochastic sensitivity functions is suggested. The corresponding mathematical theory is shortly presented. Constructive applications of this theory to the analysis of equilibria and oscillatory regimes are given.
The effects of Moringa peregrina seed meal, autoclaving, and/or exogenous enzyme cocktail on performance, carcass traits, meat quality, and blood lipids of broilers

The effects of Moringa peregrina seed meal (MPSM), autoclaving, and/or enzyme cocktail addition on performance, profitability, carcass traits, meat quality, and blood lipids of broilers between 1 and 35 d of age were investigated. Seven experimental diets were employed: the control 0% MPSM, 10% raw MPSM, 10% autoclaved MPSM (at a temperature of 120°C and 1 kg/cm2 pressure for 30 min), 10% raw MPSM supplemented with enzymes at 0.1 or 0.2 g/kg feed, and 10% autoclaved MPSM supplemented with the same previous enzymes and doses. Each diet was fed to 8 replicates with 5 broilers in each. At the end of the experiment, 3 broilers from each replicate were randomLy chosen to determine carcass traits, meat quality, and blood lipids. Findings at 35 d of age indicated that all 10% raw MPSM treatments with or without enzymes addition impaired growth, feed conversion (FCR), and profitability (p < 0.05), but increased feed intake (p < 0.05) and did not affect mortality when compared with the control group. The 10% autoclaved MPSM treatments with or without enzymes addition increased feed intake (p < 0.05) when compared with the control group, inducing growth equal to the control group (p > 0.05), and improving FCR and profitability. Enzymes addition to raw MPSM did not produce positive effects (p < 0.05), and no additive effect was observed when autoclaving and enzymes addition were combined (p > 0.05) as compared to the autoclaving group. Carcass traits, meat quality, and blood lipids were not significantly affected by MPSM, autoclaving, and enzymes addition. However, intestine, cecum, and gizzard percentages increased (p < 0.05) with all 10% raw MPSM treatments, while all 10% autoclaved MPSM treatments could return these values (p > 0.05) to the control group, except with gizzard, which exhibited less improvement. Additionally, all autoclaved groups had lower meat pH measured 24 h postmortem (p <0.05) compared to the control group. In conclusion, autoclaved MPSM can be included in broilers’ diets at a 10% level without negative effects on performance, carcass traits, meat quality, and blood lipids. This indicates that autoclaving alone is adequate.
MPC-Based Black Start and Restoration for Resilient DER-Rich Electric Distribution System

For past several years the resiliency of the power grid is severely challenged by extreme events. Black start and restoration scheme (BS&RS) is critical to enhance distribution grid resiliency. Variability in the power supply capacity of distributed energy resources (DERs) and load demand stand against the efficiency of sequential black start restoration of an unbalanced distribution system. An efficient black start restoration scheme must consider forecasted generation and demand profile to assess resource participation and generate valid switching sequence during sequential restoration of distribution grid. This work proposes a novel model predictive control (MPC) based efficient BS&RS strategy for reconfigurable distribution grid with DERs. The proposed algorithm generates optimal switching sequence by coordinating smart switches, black start DERs (BS-DERs) and energy storage systems (ESSs). Active power-frequency droop, reactive power-voltage droop and ramp rate constraints are assigned to BS-DERs for practical purposes. The non-convexity of sequential service restoration problem due to operational constraints of distribution grid, line switches and dynamics of ESS are linearized and solved as a mixed integer linear programming problem (MILP). The proposed scheme is also extended to incorporate errors associated with forecasting, DER capacity and load demand. Results of IEEE 123-bus and 1069-bus systems indicate effectiveness of the proposed approach.
Reconsidering a multivalent concept: An integrated affordance framework to approach technology and social media use

The affordance concept has been widely used in communication studies to theorize and examine social media use beyond specific features and practices. However, its implementation is characterized by an inconsistent use of terms and a neglect of the concept’s relationality. The present article demonstrates and addresses these shortcomings. First, it briefly reviews the affordance perspective’s origins and its further development in communication literature. Second, it outlines the perspective’s diverse but inconsistent application in social media research. Third, it introduces an integrated framework that contributes to a better understanding of affordances and supports a more precise use of the underlying concepts and terms in social media research. The framework a) emphasizes the relational nature of affordances as opportunities for action that occur in various technological and social contexts and are contingent on designed and cognitive mechanisms, b) it highlights the abstract nature of individual, relational, and collective affordances that are distinct from outcomes such as practices and structures, and c) it encompasses effects and dynamics that impact both technology and actors. Drawing on the framework, the article concludes with conceptional, empirical and terminological implications for future research approaching technology and social media use from an affordance perspective.
A Mode Coupling Theory for Random Waveguides with Turning Points

We study acoustic waveguides with varying cross sections and slowly bending axes. In particular, we consider waveguides with rough walls and cross sectional width that varies slowly. Roughness means fast and small fluctuations that occur on the scale of the wavelength. The roughness in the walls is unknown in applications and so we model it as a random process to study the propagation of uncertainty in the walls to uncertainty in the wavefield. The slow variations occur on a scale much larger than the wavelength and cause jumps in the number of propagating modes supported by the guide. Here we present a mathematical analysis from first principles of waves in waveguides with an arbitrary but finite number of turning points. We use our analysis to quantify randomization of the wavefield and transport of power in the guide. This is accomplished by obtaining a statistical description of coupled complex waveguide mode amplitudes in terms of the statistics of the fluctuations in the walls. Randomization is captured by decay of the means of the mode amplitudes with distance from the source. Transport of power is studied through differential equations for the second moments of the mode amplitudes. We show using these equations that the random fluctuations in the wall may increase or decrease net transmitted power depending upon the source excitation.
Adaptive Quantized Output Feedback Control of Nonlinear Systems With Mismatched Uncertainties and Sensor Failures

Digital control systems are normally characterized by quantization. It is quite challenging to exploit the celebrated backstepping control design for nonlinear systems subject to mismatched parametric uncertainties, input/output quantization, and unknown sensor failures. A major difficulty is that the output of the concerned system after quantization becomes discontinuous, and thus, nondifferentiable. As a result, the traditional recursive backstepping design method becomes infeasible because differentiation of the virtual control signals in the backstepping design no longer exists, while the control design and stability analysis processes of existing backstepping-based quantized control methods are not applicable to the underlying problem. Furthermore, the concerned problem becomes even more challenging when more general types of quantizers and more general forms of sensor failure are taken into account. In this note, we propose a novel adaptive quantized output feedback control scheme to address those difficulties and challenges. First, a state observer is constructed to generate a continuous estimate of the state and output. Then, the estimated output signal is utilized to design the virtual control signal to ensure the existence of their first-order derivatives. Meanwhile, repeated differentiation of the virtual control signals in the backstepping design is avoided by adopting dynamic filtering techniques. It is shown that all signals in the resulting closed-loop system are uniformly bounded. Finally, the effectiveness of the proposed strategy is verified and illustrated via simulation studies.
Underwater Assessment of Anthropogenic Noise Sources Using a Field Recording Method

Concern about underwater noise has been increasing due to the high number of projects needing environmental impact assessment to know how the underwater environment could be affected by pollutant noise, especially when living beings are involved. Since in countries like Chile there is no current legislation about anthropogenic underwater noise, the main objective of this work was to face this topic in Chile. To achieve it, noise sources present in rivers from Valdivia City -located in south center Chilewere evaluated. Underwater and airborne noise emissions measurement, coming from a high number of anthropogenic noise sources, both mobil and stationary, were carried out under controlled conditions and low natural background noise. Measurements were carried out both in summer and winter seasons, between December 2015 and March 2017. To have a database of sources measured with low background noise, takes a relevant value when working with mathematics models of acoustic prediction.
Nose-to-brain delivery of insulin nanoparticles for diabetes management: A review

Hyperglycemia and the onset of insulin resistance or deficiency, or both, are the hallmarks of the group of diseases known as diabetes. Ultimately, insulin subcutaneous injection is the most effective treatment for diabetic patients. However, most patients must self-administer insulin at least twice daily for the rest of their lives, as this form of administration is frequently uncomfortable and inconvenient. Infections, insulin precipitation, lipoatrophy, or lipohypertrophy are commonly observed at the injection site. To date, nasal, pulmonary, and oral methods of insulin administration have been explored. Although insulin stimulation is the ideal method for diabetic patients, there are several obstacles to overcome, such as rapid insulin degradation in the stomach and limited oral bioavailability. Various strategies have been approved to improve these parameters, including the use of enzyme inhibitors, mucoadhesive polymeric agents, absorption-enhancing agents, and chemical modifications. Insulin-loaded nanocarriers can bypass numerous physiological limitations. The current review discusses the approach of nanotechnology in nose-to-brain delivery of nanoparticles for diabetes management.
It's time to increase physical activity promotion among pregnant women in France

BACKGROUND: The lockdown linked to COVID-19 was shown to have negative effects on healthy behaviors in the general population, prompting the implementation of adapted public health measures. However, more vulnerable populations, such as pregnant women, were not specifically taken into account. At the time of writing this study, we know little about how the COVID-19 pandemic impacted the physical activity (PA) behavior of pregnant women in France. Given the many reports in the literature about women's low level of PA throughout pregnancy and the negative effects of the COVID-19 lockdown on behaviors in the general population; however, we might assume that their sedentary behaviors increased. The current study aimed to analyze the French recommendations and PA promotion among pregnant women. MATERIALS AND METHODS: A literature search was done using PubMed for the key terms “physical activity/physical activity promotion,” “pregnant women/pregnancy,”, and “French population/France. ” All the relevant studies were included to support the argument for this narrative review. RESULTS: Efforts to promote PA for pregnant women often seem ineffective and even unrealistic, and many women become overweight or obese during pregnancy. Health professionals need evidence-based guidelines and continuous training and skills development in order to convincingly encourage women to be more active during pregnancy and the postpartum period. CONCLUSION: Health policies should strengthen PA promotion among pregnant women with detailed evidence-based guidelines on PA during postpartum.
Bias reduction by imputation for linear panel data models with nonrandom missing

When no variables are observed for endogenous non-respondents of panel data, bias correction is available only for a limited class of instrumental variable estimators, which require strong conditions for consistency and often suffer from substantial efficiency loss. In this paper we introduce a convenient alternative method of imputing the missing explanatory variables and then using standard bias-correction procedures for sample selection. Various bias-corrected estimators are derived and their performances are compared by Monte Carlo experiments. Results verify efficiency loss by the instrumental variable estimators and suggest that the imputation method is practically useful if it is applied to first-difference regression.
Penentuan Bentuk dan Luas Petak Contoh Optimum Pengukuran Keanekaragaman Jenis Tumbuhan Tingkat Pancang Hutan Pegunungan

Information of vegetation structure and composition of terrestrial flora biodiversity can be measured by vegetation analysis method. The method requires sampling plots as a measurement plot capable to describe species in a forest stand. The distribution of a species of diversity, especially plants, is relatively dependent on the type of plant with the condition of the area it occupies. Therefore, an efficient and representative method is needed for the ecosystem in measuring. The objective of the study was to determine the optimal shape and size of sample plots for measuring plant species diversity at stake in TNGHS as well as to assess the most responsive diversity index. The results showed that the shape and size of the optimal sample plot for measuring plant species diversity at stake in TNGHS was a rectangular plot measuring 3.200 m2. The result of the index processing of diversity, it was found that the Margalef Index gave a more responsive diversity value to the change of species number compared with Menhinick, Simpson and ShannonWiener indices. Key words: composition, diversity index, margalef, structure, terrestrial flora.
Light Cone Calculation of Density Contrast from Peculiar Velocity Field

In the linear perturbation theory of large scale structure formation, the peculiar velocity field is directly proportional to gravitational force due to the matter distribution. The relation between peculiar velocity field and density contrast has been given by Peebles. We have modified this familiar relation doing the calculation on the light cone in contrast to the usual procedure of taking a space-like slice defined at a definite time. The result differs from the familiar relation by a term which explains at least partly the discrepancy between theory and observation. e-mail: mansouri@theory.ipm. ac.ir e-mail: rahvar@netware2.ipm. ac.ir
Radial velocities of K–M dwarfs and local stellar kinematics

Aims. The goal of this paper is to present complete radial-velocity data for the spectroscopically selected McCormick sample of nearby K–M dwarfs and, based on these and supplementary data, to determine the space-velocity distributions of late-type stars in the solar neighborhood. Methods. We analyzed nearly 3300 measurements of radial velocities for 1049 K–M dwarfs, that we obtained during the past decade with a CORAVEL-type instrument, with a primary emphasis on detecting and eliminating from kinematic calculations the spectroscopic binaries and binary candidates. Combining radial-velocity data with Hipparcos/Tycho-2 astrometry we calculated the space-velocity components and parameters of the galactic orbits in a three-component model potential for the stars in the sample, that we use for kinematical analysis and for the identification of possible candidate members of nearby stellar kinematic groups. Results. We present the catalog of our observations of radial velocities for 959 stars which are not suspected of velocity variability, along with the catalog of U,V,W velocities and Galactic orbital parameters for a total of 1088 K–M stars which are used in the present kinematic analysis. Of these, 146 stars were identified as possible candidate members of the known nearby kinematic groups and suspected subgroups. The distributions of space-velocity components, orbital eccentricities, and maximum distances from the Galactic plane are consistent with the presence of young, intermediate-age and old populations of the thin disk and a small fraction (~3%) of stars with the thick disk kinematics. The kinematic structure gives evidence that the bulk of K–M type stars in the immediate solar vicinity represents a dynamically relaxed stellar population. The star MCC 869 is found to be on a retrograde Galactic orbit ( V = −262 km s -1 ) of low inclination (4°) and can be a member of stellar stream of some dissolved structure. The Sun’s velocity with respect to the Local Standard of Rest, derived from the distributions of space-velocity components, is ( U ⊙ , V ⊙ , W ⊙ ) = (9.0 ± 1.4,13.1 ± 0.6,7.2 ± 0.8) km s -1 . The radial solar motion derived via the Stromberg’s relation, V ⊙ = 14.2 ± 0.8 km s -1 , agrees within the errors with the value obtained directly from the V distribution of stars on nearly circular orbits.
Precision Calculations for the Decay of Higgs Bosons in the MSSM

Precision calculations are required for the verification of the standard model (SM) and serve as a useful tool for probing and disentangling new physics beyond the SM. In this thesis we concentrate on the extension of the SM with supersymmetry, i.e. the minimal supersymmetric extension of the standard model (MSSM) and investigate the decay processes of Higgs bosons within this model. At tree-level, the light CP-even MSSM Higgs boson, h^0, becomes SM-like when the other ones get heavy. Thus it is of particular interest to investigate the impact of higher order corrections. We present the complete one-loop electroweak radiative corrections to the decay of h^0 to four fermions via gauge boson pair, the results are further improved by currently available two-loop corrections to the Higgs boson self energies. The gauge boson in the photonic one-loop diagrams can become resonant and lead to singularities that have to be regularized by its finite width. For the incorporation of the width, the one-loop integrals that involve such singularities are evaluated analytically. While the one-loop electroweak corrections yield visible effects for a relatively light MSSM Higgs sector, they only give rise to negligible effects when the Higgs bosons other than h^0 become heavy, even if the genuine supersymmetric particle spectrum is relatively light. Consequently it is rather difficult to distinguish the light CP-even MSSM Higgs boson from the SM one if all other MSSM Higgs bosons are heavy, even though the one-loop corrections are included. We also consider the decay of the heavy CP-even MSSM Higgs boson, H^0, to off-/on-shell gauge boson pair. The one-loop corrections turn out to be significant as the tree-level coupling of H^0 to gauge bosons is usually suppressed.
Parents of Adolescents Who Experience Suicidal Phenomena—A Scoping Review of Their Experience

High prevalence rates of self-harm and suicide in adolescence provide unique challenges for parents. The aim of this scoping review was to explore key gaps in our understanding of the current scientific literature on the experience of parents who have adolescent children experiencing suicide crisis or self-harm. Four academic databases were searched using three broad concepts: self-harming behaviour or suicidal crisis; adolescents or young people; and the experiences or behaviour of parents, between journal inception and March 2022. Information reporting on the parents’ experience was extracted and a qualitative synthesis was conducted. Twenty-two articles met inclusion criteria and were assessed in detail. The experience of parents with an adolescent engaged in self-harm or suicidal crisis were classified into three temporal themes: discovery of the suicidal phenomena, management of suicidal phenomena, and after the suicidal phenomena had ceased. Parents caring for an adolescent experiencing self-harm or suicidal crisis experience poorer psychological wellbeing, difficulty accessing support services, and changes in the parent–child relationship. Parents desire greater support for both themselves and their child and further investigation is required to understand specifically which supports would be most appropriate at each stage.
Imaging of J0-correlated Bessel-Gauss beams

The behavior of beams originated by -correlated sources when they pass through a thin lens is analyzed. The corresponding transformation results are noteworthy, since they disclose meaningful properties of these beams, particularly when compared with a better known class of beams, namely Gauss- ian-Schell model beams. We also verify that the laws of geo- metrical optics are clearly approximated as the coherence length decreases.