Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the growth, feed efficiency and hematological indicators of Nile tilapia fingerlings Oreochromis niloticus using dietary lactic acid supplementation with different feeding routines

: A 42-day trial 2 × 2 factorial study was conducted to investigate the importance of using lactic acid (LA) as a feed additive in different feeding regimes on the growth, feed and blood indicators of Nile tilapia fingerlings Oreochromis niloticus . Two levels of feed additives 0% and 1% Lactic acid with two feeding systems—1) half of the daily meal was offered in the morning and the other half in the afternoon and 2 ــــ ) 3/4 (75 %) of the daily meal was offered in the morning and the other 1/4 (25%) in the afternoon. Fingerlings were stocked in 12 plastic aquaria (60 liters), with 10 fish/ aquaria. A commercial diet of 30% crude protein was used with a feeding rate of 3% of the biomass. The results showed, dietary LA had a positive impact on fish performance compared with feeding regimes. Fishes that were fed dietary LA with 50% of daily meal in the morning were the best in growth and blood parameters followed by fishes that were fed a diet without LA with 75% of their meal in the morning.
Spatiotemporal Land-Use Dynamics in Continental Portugal 1995–2018

Monitoring land-use patterns and its trends provides useful information for impact evaluation and policy design. The latest in-depth studies of land-use dynamics for continental Portugal are outdated, and have not examined how municipalities may be classified into a typology of observed dynamics or considered the trajectory profiles of land-use transitions. This paper presents a comprehensive analysis of the spatiotemporal dynamics of land-use in continental Portugal from 1995 to 2018. Our multi-scalar approach used land-use maps in geographic information systems with the following objectives: (i) quantify variations of land-use classes, (ii) assess the transitions between uses, and (iii) derive a municipal typology of land-use dynamics. The methodology employed involved calculating statistical indicators of land-use classes, transition matrices between uses and combinatorial analysis for the most common trajectory-profiles. For the typology, a principal component analysis was used for dimensionality reduction and the respective components were classified by testing several clustering techniques. Results showed that the land-use transitions were not homogeneous in space or time, leading to the growth of territorial asymmetries. Forest (Δ5%), water bodies (Δ28%) and artificial surfaces (Δ35%) had a greater expansion, as opposed to agricultural areas, which had the biggest decline (Δ-8%). Despite the decline of agricultural activities, olive-grove expansion (Δ7%) was a relevant dynamic, and in the case of forests, the increment of eucalyptus (Δ34%) replaced native species such as the maritime pine (Δ-20%). A land-use-dynamics typology was estimated, dividing continental Portugal into 11 clusters, which is informative for sectoral policies and spatial planning, as zonings in need of interventions tailored to their specificities. The findings are a contribution to the study of land-use dynamics in continental Portugal, presenting various challenges for sustainable land uses with regard to the urban system, forest management, food production, soil preservation, and ecosystem protection.
A quantum weak energy inequality for spin-one fields in curved space–time

Quantum weak energy inequalities (QWEI) provide state-independent lower bounds on averages of the renormalized energy density of a quantum field. We derive QWEIs for the electromagnetic and massive spin-one fields in globally hyperbolic space–times whose Cauchy surfaces are compact and have trivial first homology group. These inequalities provide lower bounds on weighted averages of the renormalized energy density as “measured” along an arbitrary timelike trajectory, and are valid for arbitrary Hadamard states of the spin-one fields. The QWEI bound takes a particularly simple form for averaging along static trajectories in ultrastatic space–times; as specific examples we consider Minkowski space (in which case the topological restrictions may be dispensed with) and the static Einstein universe. A significant part of the paper is devoted to the definition and properties of Hadamard states of spin-one fields in curved space–times, particularly with regard to their microlocal behavior.
In-Home Older Adults’ Activity Pattern Monitoring Using Depth Sensors: A Review

The global population is aging due to many factors, including longer life expectancy through better healthcare, changing diet, physical activity, etc. We are also witnessing various frequent epidemics as well as pandemics. The existing healthcare system has failed to deliver the care and support needed to our older adults (seniors) during these frequent outbreaks. Sophisticated sensor-based in-home care systems may offer an effective solution to this global crisis. The monitoring system is the key component of any in-home care system. The evidence indicates that they are more useful when implemented in a non-intrusive manner through different visual and audio sensors. Artificial Intelligence (AI) and Computer Vision (CV) techniques may be ideal for this purpose. Since the RGB imagery-based CV technique may compromise privacy, people often hesitate to utilize in-home care systems which use this technology. Depth, thermal, and audio-based CV techniques could be meaningful substitutes here. Due to the need to monitor larger areas, this review article presents a systematic discussion on the state-of-the-art using depth sensors as primary data-capturing techniques. We mainly focused on fall detection and other health-related physical patterns. As gait parameters may help to detect these activities, we also considered depth sensor-based gait parameters separately. The article provides discussions on the topic in relation to the terminology, reviews, a survey of popular datasets, and future scopes.
Lifestyle and Patient knowledge Regarding Severity of Bronchial Asthma

Background: Asthma is a chronic respiratory disease that is a major health problem in many parts of the world. The aim of the study was to evaluate lifestyle and patient knowledge regarding the severity of bronchial asthma. Subject and method: Research design: A descriptive exploratory design was utilized. Setting: Data were collected from two settings; the outpatient chest clinic at Zagazig University Hospitals and the outpatient clinics of Chest Hospital in Zagazig city. Subject: The study was conducted on one hundred and fifty (150) patients. Tool of data collection: Two tools were used for data collection; Tool (1): was the Patient’s Interviewing Assessment Questionnaire to collect data about patients ‘demographic characteristics and assess the lifestyle and knowledge of studied patients. Tool (2): was Global Initiative for Asthma (GINA) severity scale to determine the severity of asthma. Results of this study showed that the majority (81.3%) of the studied patients had poor life style. About one third (32.0%) of studied patients had satisfactory total knowledge regarding bronchial asthma and 70.0% of studied patients had moderate persistent asthma. Furthermore, relation analysis showed a statistically significant negative correlation between patients’ total knowledge and their disease severity score. Also, both age per year and severity of bronchial asthma were statistically significant positive predictors of the studied patient's lifestyle score. Conclusion: studied patients had an unsatisfactory level of knowledge regarding bronchial asthma and had affected lifestyle recommendations: design and apply training programs to improve patients’ knowledge and lifestyle.
Reconstruction of seismic data using adaptive regularization

In seismic data processing, we often need to interpolate/extrapolate missing spatial locations in a domain of interest. The reconstruction problem can be posed as an inverse problem where from inadequate and incomplete data one attempts to recover the complete band-limited seismic wavefield. However, the problem is often ill posed due to factors such as inaccurate knowledge of bandwidth and noise. In this case, regularization can be used to help to obtain a unique and stable solution. In this paper, we formulate band-limited data reconstruction as a minimum norm least squares type problem where an adaptive DFT-weighted norm regularization term is used to constrain solutions. In particular, the regularization term is updated iteratively through using the modified periodogram of the estimated data. The technique allows for adaptive incorporation of prior knowledge of the data such as the spectrum support and the shape of the spectrum. The adaptive regularization can be accelerated using FFTs and an iterative solver like preconditioned conjugate gradient algorithm. Examples on synthetic and real seismic data illustrate improvement of the new method over damped least squares estimation.
On the Asymptotic Behaviour of some Positive Semigroups

Similar to the theory of finite Markov chains it is shown that in a Banach space $X$ ordered by a closed cone $K$ with nonempty interior int($K$) a power bounded positive operator $A$ with compact power such that its trajectories for positive vectors eventually flow into int($K$), defines a "limit distribution", i.e. its adjoint operator has a unique fixed point in the dual cone. Moreover, the sequence (A^n) converges with respect to the strong operator topology and for each functional $f\in X'$ the sequence $((A^*)^n(f))$ converges with respect to the weak*-topology (Theorem 5). If a positive bounded $C_0$-semigroup of linear continuous operators $(S_t)_{t\geq 0}$ on a Banach space contains a compact operator and the trajectories of the non-zero vectors $x\in K$ have the property from above then, in particular, $(S_t)$ and $(S^*_t)$ converge to their limit operator with repsect to the operator norm, respectively (Theorem 4). For weakly compact Markov operators in the space of real continuous functions on a compact topological space a corresponding result can be derived, that characterizes the long-term behaviour of regular Markov chains.
Concentration phenomena for a fractional Choquard equation with magnetic field

We consider the following nonlinear fractional Choquard equation $$ \varepsilon^{2s}(-\Delta)^{s}_{A/\varepsilon} u + V(x)u = \varepsilon^{\mu-N}\left(\frac{1}{|x|^{\mu}}*F(|u|^{2})\right)f(|u|^{2})u \mbox{ in } \mathbb{R}^{N}, $$ where $\varepsilon>0$ is a parameter, $s\in (0, 1)$, $0 0$ small enough.
Social Anxiety in Digital Learning Environments: Empirical Evidence and Call to Action

It is internationally accepted that digitally-supported learning increases the accessibility of higher education due to its capacity to overcome traditional university's spatial and temporal limitations. At the same time, increased student-teacher ratios and reduced student-targeted support may lower the quality of learning and instruction in higher education. Research focussed on digital learning environments in higher education identified social anxiety as an increased challenge for learners and teaching staff. This international case study investigates students’ social anxiety at two higher education institutions. Findings show that social anxiety exists in higher education digital learning environments and differs across cultural contexts and gender. The data suggests that it is worth tertiary educators pausing to consider the role that social anxiety may be playing in reducing interactions within online units. Additional research is required to establish the causes of social anxiety in digital learning environments and develop strategies to minimise its effect.
The First Passage Time Density of Brownian Motion and the Heat Equation with Dirichlet Boundary Condition in Time Dependent Domains

В книге [Jimyeong Lee, "First passage time densities through Hölder curves", ALEA Lat. Am. J. Probab. Math. Stat., 15:2 (2018), 837-849] доказано, что плотность момента первого пересечения границы одномерным стандартным броуновским движением будет непрерывной, когда граница непрерывна по Гeльдеру с показателем больше $1/2$. С целью распространить результат [Jimyeong Lee, "First passage time densities through Hölder curves", ALEA Lat. Am. J. Probab. Math. Stat., 15:2 (2018), 837-849] на многомерные области мы показываем, что существует непрерывная функция плотности момента первого пересечения подвижных границ в $\mathbf R^d$, $d \ge 2$, стандартным $d$-мерным броуновским движением при $C^3$-диффеоморфизме. Как и в [Jimyeong Lee, "First passage time densities through Hölder curves", ALEA Lat. Am. J. Probab. Math. Stat., 15:2 (2018), 837-849], используя свойство локального времени стандартного $d$-мерного броуновского движения и уравнение теплопроводности с граничным условием Дирихле, мы находим достаточное условие существования непрерывной функции плотности.
Duration of calving stages in beef cows under different housing systems

The goal of research was to analyze the calving process and duration of calving stages in beef cows under moderately continental climate conditions and various systems of housing and feeding. Duration of calving stages have been studied in Ukrainian Beef breed cows under four types of housing conditions: tie-stall housing before and during calving; free stall housing before calving with calving in the calving pens; housing in the outside paddocks and calving in the calving pens; keeping cows on pasture before and during calving. It has been proved that under tie-stall housing system of cows, the preparatory stage is the shortest, and period of withdrawal of the fetus and period of placenta discharge are the most prolonged. When cows were kept on pastures, the preparatory stage labour lasted for or a longer time, but the withdrawal of the fetus and the after-labour period were the shortest. When close-up cows stayed in free-stall barns and calved in the pens or calving chutes, the stages of labour went faster as compared to calving in the outside paddocks, but longer as compared to calving on pasture. Movement of cows from outside paddocks into calving pens increases variability in the duration of parturition, due to the stress of changing location.
Outlier-Resistant Recursive State Estimation for Renewable-Electricity-Generation-Based Microgrids

In this article, a new state estimation (SE) problem is studied for a class of renewable-electricity-generation-based microgrids with measurement outliers. A state-space system model is proposed for microgrids by resorting to the physical laws of power systems where, in accordance with engineering practice, the prior knowledge of the measurement outliers is unavailable. To enhance the insensitivity against measurement outliers, an outlier-resistant SE algorithm is developed with two distinct features: 1) a saturation function is adopted to constrain the innovation term in the state estimator so as to mitigate the negative influences from the outlier-contaminated measuring data; and 2) an upper bound on the estimation error covariance is first ensured and then minimized by selecting proper gain parameters. Finally, simulation studies with three scenarios are carried out on the benchmark of islanded microgrid which contains two renewable-electricity-generation units to illustrate the validity of the developed outlier-resistant SE algorithm.
The AFGL Four Color Infrared Sky Survey: Supplemental Catalog

Abstract : Positions and magnitude measurements at effective wavelengths of 4.2, 11.0, 19.8, and 27.4 micrometers are reported for an additional 2477 sources observed during the AFGL survey program. These sources were obtained by relaxing the stringent selection criteria used for the main catalog and subjectively selecting those that have associations and/or other characteristics which make them of interest for future investigation.
On the ground-state wave function of the one-dimensional polaron in the strong-coupling limit

We consider the one-dimensional Froehlich polaron localized in a symmetric decreasing electric potential. It is known that the non-linear Pekar functional corresponding to our model admits a unique minimizer. In the strong-coupling limit, we show that any approximate ground-state wave function of our model- after integrating out its phonon modes- converges in the weak sense to this unique minimizer.
Precise control of dispersion flatness in silicon nitride waveguides by cladding refractive index engineering

A technique for flattening the chromatic dispersion in silicon nitride waveguides with silica cladding is proposed and numerically investigated. By modifying the transversal dimensions of the silicon nitride core and by adding several cladding layers with appropriate refractive indices and thicknesses, we demonstrate dispersion flattening over large spectral bandwidths in the near infrared. We analyze several cladding refractive index profiles that could be realistically fabricated by using existing materials and doping procedures. We show that cladding engineering allows for much more dispersion control (and flattening) in comparison with optimizing only the core transversal dimensions. For the latter case it is demonstrated that while the zero dispersion wavelength can be shifted to a great extent, the effect of the cross-section adjustment in the flatness is very limited. In sharp contrast, by adding two cladding layers and decreased refractive index values, the dispersion ripple can be strongly reduced. By further adding one more layer and by adjusting their refractive indices it is possible to obtain nearly constant chromatic dispersion (only +/- 3 ps/nm-km variation) over the spectral region from 1.8 to 2.4 microns. In our calculations, the analyzed change in the silica or silicon nitride refractive index is up to +/-3%. Our technique should open new avenues for the demonstration of high-performance nonlinear devices on a chip. Furthermore highly dispersive integrated photonic components can be envisaged for slow light applications and integrated photonics spectrographs.
Local homology of abstract simplicial complexes

This survey describes some useful properties of the local homology of abstract simplicial complexes. Although the existing literature on local homology is somewhat dispersed, it is largely dedicated to the study of manifolds, submanifolds, or samplings thereof. While this is a vital perspective, the focus of this survey is squarely on the local homology of abstract simplicial complexes. Our motivation comes from the needs of the analysis of hypergraphs and graphs. In addition to presenting many classical facts in a unified way, this survey presents a few new results about how local homology generalizes useful tools from graph theory. The survey ends with a statistical comparison of graph invariants with local homology.
Fecal Microbiota Transplantation Could Improve Chronic Diarrhea in Cynomolgus Monkey by Alleviating Inflammation and Modulating Gut Microbiota

Chronic diarrhea is associated with enteric dysbiosis and provokes the overuse of antibiotics. Fecal microbiota transplantation (FMT) is a promising therapy, but it shows discrepant clinical efficacy. Bacterial colonization in recipients has been studied, although little is known about the role of gut fungi and Archaea after FMT. In this study, we evaluated the efficacy of human-derived FMT on spontaneous chronic diarrhea cynomolgus monkeys and revealed the effector mechanisms. We demonstrated that FMT can mitigate the appearance of diarrheal symptoms and inhibit the increase in interleukin-6, interleukin-8, interleukin-1β, and interferon-γ and the decrease in interleukin-10 in serum. We confirmed that FMT restored the disturbance of gut bacteria by reducing the relative abundances of potential pathogens, including Cloacibacillus porcorum, Desulfovibrio desulfuricans, Erysipelotrichaceae bacterium 5_2_54FAA, and Erysipelotrichaceae bacterium 21_3, and increasing the levels of Lactobacillus fermentum and Lactobacillus ruminis CAG_367 in diarrheal monkeys. The metabolic pathways of healthy and FMT monkeys’ gut bacteria were enriched in amino acid metabolism, carbohydrate metabolism, and lipid metabolism, while the metabolic pathways of pre-FMT monkeys’ gut bacteria were enriched in antibiotic production. Moreover, a higher Ascomycota/Basidiomycota ratio, higher Aspergillus levels, and lower Trichosporon asahii abundance were present in intestinal fungi after FMT. Although the abundance of the Archaea Methanosphaera stastmanae did not change significantly, it was inversely correlated with the anti-inflammatory factor IL-4 after FMT. These results support the further development and application of FMT for chronic diarrhea.
Distributivni učinci ukidanja »socijalno motiviranih« sniženih stopa PDV-a radi povećanja izdašnosti i obuhvata ciljanih transfera: mikrosimulacijska analiza za Hrvatsku

Many countries, including Croatia, support households in need not only through social transfers, but also through ‘socially motivated’ reduced VAT rates for goods such as food. These measures are also useful to those who are richer, so the question arises whether it is more desirable to increase social benefits that target low-income housholds. This paper analyses distributive effects of a hypothetical reform of the Croatian system of taxation and transfers which includes: (a) abolition of socially motivated reduced VAT rates; (b) increase of generosity and the number of the users of guaranteed minimum benefit and the users of allowance for vulnerable energy buyers. The reform is designed to be virtually neutral fiscally in the sense that almost all additional VAT is spent on the increase of guaranteed minimum benefit and allowance for vulnerable energy buyers. Results of the analysis conducted by a detailed microsimulational model of taxation and transers that uses the data from EU-SILC and the Survey on household consumption show that the reform reduces poverty and inequality based on income after taxation and transfers, in spite of the increase of the regressivity of VAT and the decrease of the progressivity of the guaranted minimum benefit and allowance for vulnerable energy buyers. Key words: VAT, social benefits, microsimulations, inequalities, poverty, reform
Safety, Feasibility, and Efficacy of EMDR Therapy in Adults with PTSD and Mild Intellectual Disability or Borderline Intellectual Functioning and Mental Health Problems: A Multiple Baseline Study

ABSTRACT Background Little is known about the efficacy of eye movement desensitization and reprocessing (EMDR) therapy for post-traumatic stress disorder (PTSD) symptoms in people with mild intellectual disability or borderline intellectual functioning (MID-BIF). Aims To explore the safety, feasibility, and efficacy of EMDR therapy in adults with MID-BIF, PTSD, and comorbid mental health and psycho-social problems. Methods and procedures Data were collected from nine participants using a non-concurrent multiple baseline design. PTSD symptoms, level of daily life impairment, and possible adverse effect were measured weekly during baseline, treatment, post-treatment, and at three-month follow-up. Depressive symptoms, general psychopathology, and mental health problems were assessed once in every phase. Outcomes and results Participants displayed a significant reduction of PTSD symptoms, and the majority of participants no longer met criteria for DSM-5 PTSD diagnosis after therapy. EMDR therapy appeared to be safe, as no adverse events were reported during the study time frame. Further, participants showed a decrease in depressive symptoms as well as less severe general psychopathology and mental health problems following therapy. Conclusion EMDR therapy was found to be safe, feasible, and (potentially) efficacious in decreasing PTSD symptoms, loss of PTSD diagnoses, reduction of level of daily life impairment, and general psychopathology for adults with MID-BIF, suffering from both severe mental health and psycho-social problems.