Miracle-dz/UniFAR-FTUs huggingface dataset:
Nanoparticle Effects on the Electrical and Thermal Performance of the Transformer Mineral Oil

Mineral oil has been used as a dielectric medium in transformers for more than a century. The enhancement of its performance using nanoparticles (NPs) has been investigated by many researchers in the last two decades. Based on that, in this article, NPs were introduced to improve the electrical and thermal properties of mineral oil. This article presents a model based on the use of COMSOL Multiphysics to evaluate the streamer current density, net space charge, and oil temperature. In this model, the electrostatics module, the stabilized convection–diffusion equation module, and the coefficient form of partial differential equations (PDEs) were combined. The results include the effects of different parameters of NPs: the size, time constant, and mobility of NPs. These results reflected the importance of the NPs’ time constant and how the NP’s mobility can influence the electrical and thermal characteristics of the oil. However, the results revealed that the volume of NPs had negligible effects on oil performance.
Assessment of the Effects of Indoor and Outdoor Laboratory Experiences on Secondary School Students Achievement and Retention in Ecology - A Case Study of Jalingo Education Zone, Taraba State, Nigeria

This study was carried out to assess the effects of indoor and outdoor laboratory experiences on achievement and retention in ecology among secondary school students in Ardo-Kola Local Government Area of Jalingo Education Zone in Taraba State, Nigeria. A quasi-experimental research design, which utilized pretest, posttest, and post-posttest, was adopted. The population of the study consisted of 849 SSII students from 11 public schools in the Ardo-Kola Local Government Area of the State. One out of 11 schools were randomly selected as a sample, and two groups were used as the experimental and control groups. The experimental group was taught using an outdoor teaching strategy, while the control group was taught using an indoor strategy. Two intact classes were selected to form a sample of 60 students. The instrument used for the study was the Ecology Achievement Test (EAT). Research questions were answered using means and standard deviation, and the hypotheses were tested at the 0.05 level of significance. The t-test statistical tool was used in analyzing the collected data. Major findings of the study revealed that the ecology concept favored outdoor teaching strategies. The study further confirmed that outdoor teaching strategies enhanced student achievement and retention, and they are gender-friendly. From the results of the analysis discussed, recommendations were made, one of which was that there is a need for teaching and learning strategies involving student participation, such as outdoor teaching strategies, which enhance student achievement and retention.
On the influence of viscosity and caustics on acoustic streaming in sessile droplets: an experimental and a numerical study with a cost-effective method

When an acoustic wave travels in a lossy medium such as a liquid, it progressively transfers its pseudo-momentum to the fluid, which results in a steady flow called acoustic streaming. This phenomenon involves a balance between sound attenuation and shear, such that the streaming flow does not vanish in the limit of vanishing viscosity. Hence, the effect of viscosity has long been ignored in acoustic streaming experiments. Here, we investigate the acoustic streaming in sessile droplets exposed to surface acoustic waves. According to experimental data, the flow structure and velocity magnitude are both strongly influenced by the fluid viscosity. We compute the sound wave propagation and hydrodynamic flow motion using a numerical method that reduces memory requirements via a spatial filtering of the acoustic streaming momentum source terms. These calculations agree qualitatively well with experiments and reveal how the acoustic field in the droplet, which is dominated by a few caustics, controls the flow pattern. We evidence that chaotic acoustic fields in droplets are dominated by a few caustics. It appears that the caustics drive the flow, which allows for qualitative prediction of the flow structure. Finally, we apply our numerical method to a broader span of fluids and frequencies. We show that the canonical case of the acoustic streaming in a hemispherical sessile droplet resting on a lithium niobate substrate only depends on two dimensionless numbers related to the surface and bulk wave attenuation. Even in such a baseline configuration, we observe and characterize four distinct flow regimes.
Standardizing Patient Transfer Process Among Nurses From Labor & Delivery to Mother-Baby Unit

Purpose: To implement and evaluate the efficacy of a standardized patient transfer process among registered nurses (RN) from Labor & Delivery (L&D) to Mother-Baby Unit (MBU) using PDSA cycle to improve RN satisfaction and reduce patient transfer time Conceptual Framework: PDSA Cycle Setting: Labor & Delivery and Mother-Baby Unit of a tertiary care hospital Methods: The project consisted of collecting both objective (estimated patient transfer time from L&D to MBU) and subjective data (anonymous nursing preand post-intervention surveys). Standardization of transfer process included implementing a transfer checklist, patient transfer tool, updating the workflow, and a sample patient transfer video. The evaluation of surveys and comparison of preand post-intervention transfer time was utilized to determine if the interventions were effective in reducing patient transfer time and improving the RN’s experience with the patient transfer process or needed further modifications. Results: The average time of patient transfer process was 28 minutes before intervention phase, while post-intervention was 27 minutes. During pre-intervention phase, out of 52 Registered Nurses (RNs), 24 were satisfied with the patient transfer process and 12 were satisfied with the patient transfer duration. During post-intervention phase, while only 17 out of 33 RNs were adhering to the updated workflow, 16 were content with the patient transfer process and 15 were pleased with the patient transfer time. Clinical Implications: Standardizing patient transfer process can enhance the experience of registered nurses while transferring patients from L&D to MBU.
Searches for exotic Higgs bosons at CMS : from Level-1 jet trigger calibration to data analyses and their interpretation

This thesis covers several topics investigating the nature of exotic Higgs bosons, using data from the Compact Muon Solenoid (CMS) at the Large Hadron Collider (LHC). A search was performed for invisible decays of a Higgs boson, using 19.5 fb−1 of data from proton-proton collisions collected during 2012. No significant excess was observed, and an observed (expected) upper limit on the invisible branching fraction of the125 GeV Higgs boson was set at BR(h → Invis.) < 0.65 (0.49) at 95% confidence level (CL). A search for a pair of light Higgs bosons with masses 4–8 GeV, produced by the discovered Higgs boson and each decaying into a pair of tau leptons, was also performed using the collision data from 2012. No significant excess was observed in this search either, and upper limits were set on the total production cross-section for such processes as a function of the light boson mass. The observed limit at 95% CL ranges from 4.5 to 10.3 pb, with corresponding expected limits 2.9 and 10.3 pb.The results of several light Higgs boson searches carried out at the LHC are interpreted within the context of the Next-to-Minimal Supersymmetric Standard Model. The limits from these searches are compared to model predictions, and theirimpact on model parameters is discussed.The upgrade of the CMS Level-1 trigger allows for more sophisticated object identification algorithms, including removal of contributions from overlapping collisions. The derivation of calibrations for the jet algorithm in both the interim and fullupgrades is examined, along with their performance.
Corporate Social Responsibility in the Greek Mining and Quarrying companies

This paper aims to investigate the diffusion of the concept of Corporate Social Responsibility (CSR) and the degree of implementation of CSR practices among the Greek Mining and Quarrying Companies. A research study was conducted through a structured questionnaire among the ISO 9001 certified Greek Mining and Quarrying Companies. CSR appears to be very important for large companies which are able to allocate resources for the required CSR actions. Results show that most of the financial resources available for CSR actions are related to the environment and that respondents expect that through CSR actions they gain better relationships with the local community and the general business environment, they achieve improved employee performance, and they attract and maintain high-potential employees. Participants in the research consider bureaucracy, lack of knowledge, the small size of business and the implementation costs as the main inhibitors for the achievement of the CSR principles. The research of this work was limited to the Greek mining companies that are certified according to ISO 9001. Future research could be conducted on the CSR awareness of the non-certified companies as well. The study may help managers of the mining companies to focus on specific CSR elements when they decide to follow CSR principles. The implementation of the CSR principles in the mining industry has attracted considerable attention in the CSR literature and this study is an attempt to assess the concept and the benefits of CSR within Greek mining sector. JEL Classification code: M14. Key words: Corporate Social Responsibility; CSR; Mining and Quarrying; Greece
Sobolev Type Decomposition of Paley-Wiener-Schwartz Space with Application to Sampling Theory

We characterize Paley-Wiener-Schwartz space of entire functions as a union of three-parametric linear normed subspaces determined by the type of the entire functions, their polynomial asymptotic on the real line, and the index p ≥ 1 of a Sobolev type Lp-summability on the real line with an appropriate weight function. An entire function belonging to a sub-space of the decomposition is exactly recovered by a sampling series, locally uniformly convergent on the complex plane. The sampling formulas obtained extend the Shannon sampling theorem, certain representation formulas due to Bernstein, and a transcendental interpolating theory due to Levin. 2000 Mathematics Subject Classification: 94A12, 94A20, 30D20, 41A05.
Measurement of Neutrino and Antineutrino Total Charged-current Cross Sections on Carbon with MINERvA

This thesis presents a measurement of charged-current inclusive cross sections of muon neutrino and antineutrino interaction on carbon, and antineutrino to neutrino cross section ratio, $r$, in the energy range 2 - 22 GeV, with data collected in the MINERvA experiment. The dataset corresponds to an exposure of 3.2$\times 10^{20}$ protons on target (POT) for neutrinos and 1.0$\times 10^{20}$ POT for antineutrinos. Measurement of neutrino and antineutrino charged-current inclusive cross sections provides essential constraints for future long baseline neutrino oscillation experiment at a few GeV energy range. Our measured antineutrino cross section has an uncertainty in the range 6.1\% - 10.5\% and is the most precise measurement below 6~GeV to date. The measured $r$ has an uncertainty of 5.0\% - 7.5\%. This is the first measurement below 6~GeV since Gargamelle in 1970s. The cross sections are measured as a function of neutrino energy by dividing the efficiency corrected charged-current sample with extracted fluxes. Fluxes are obtained using the low-$\nu$ method, which uses low hadronic energy subsamples of charged-current inclusive sample to extract flux. Measured cross sections show good agreement with the prediction of neutrino interaction models above 7 GeV, and are about 10\% below the model below 7 GeV. The measured $r$ agrees with the GENIE model over the whole energy region. The measured cross sections and $r$ are compared with world data.
Theoretical Study of the Effect of Permeability Tensor upon Drainage of Soils

the influence of permeability tensor upon drainage of anisotropic soils under ponded water and steady recharge (rainfall) is theoretically investigated. Tensorial permeability has led to the formulation of mixed type partial differential equations. Since there is no analytical solution to this problem, the formulation is therefore solved numerically by the method of finite elements. The finite element formulation is implemented into a computer model which can be applied to any problem of seepage under steady state conditions. Two different example problems representing two different flow conditions under full anisotropy have been studied. Results of the model for the isotropic case were checked against exact mathematical solutions derived analytically for isotropic soils and found to be accurate which indicates that using this model for anisotropic soils is safe and sound
A Posteriori Error Analysis for a Discontinuous Galerkin Method Applied to Hyperbolic Problems on Tetrahedral Meshes

In this thesis, we present a simple and efficient a posteriori error estimation procedure for a discontinuous finite element method applied to scalar first-order hyperbolic problems on structured and unstructured tetrahedral meshes. We present a local error analysis to derive a discontinuous Galerkin orthogonality condition for the leading term of the discretization error and find basis functions spanning the error for several finite element spaces. We describe an implicit error estimation procedure for the leading term of the discretization error by solving a local problem on each tetrahedron. Numerical computations show that the implicit a posteriori error estimation procedure yields accurate estimates for linear and nonlinear problems with smooth solutions. Furthermore, we show the performance of our error estimates on problems with discontinuous solutions. We investigate pointwise superconvergence properties of the discontinuous Galerkin (DG) method using enriched polynomial spaces. We study the effect of finite element spaces on the superconvergence properties of DG solutions on each class and type of tetrahedral elements. We show that, using enriched polynomial spaces, the discretization error on tetrahedral elements having one inflow face, is O(h) superconvergent on the three edges of the inflow face, while on elements with one inflow and one outflow faces the DG solution is O(h) superconvergent on the outflow face in addition to the three edges of the inflow face. Furthermore, we show that, on tetrahedral elements with two inflow faces, the DG solution is O(h) superconvergent on the edge shared by two of the inflow faces. On elements with two inflow and one outflow faces and on elements with three inflow faces, the DG solution is O(h) superconvergent on two edges of the inflow faces. We also show that using enriched polynomial spaces lead to a simpler a posteriori error estimation procedure. Finally, we extend our error analysis for the discontinuous Galerkin method applied to linear three-dimensional hyperbolic systems of conservation laws with smooth solutions. We perform a local error analysis by expanding the local error as a series and showing that its leading term is O (h). We further simplify the leading term and express it in terms of an optimal set of polynomials which can be used to estimate the error. In the name of Allah, the most gracious, the most merciful. and say: My Lord! Increase me in knowledge. Chapter Ta-Ha, verse (114)
Morphometric analysis of fish, Labeo rohita in Lucknow, Uttar Pradesh, India

A study on morphometric characters of Indian Major Carp- Labeo rohita was conducted and the fish were collected from the fish markets of Lucknow. Labeo rohita, commonly known as rohu is a species of fish that belongs to the family Cyprinidae and the order Cypriniformes. It is a warm water teleost and primarily feeds as a column feeder herbivore. Ten morphometric characters, length-weight relationship of Labeo rohita were studied. The morphometric measurements like total length, standard length, head length, snout length, body depth, eye diameter, pre-dorsal length, pre-pelvic length, pre-pectoral length and caudal length and body weight were recorded. The descriptive statistical parameters and correlation coefficient were analysed with independent and dependent variables. The morphometric character showed gradual increase in the body length and weight. A positive correlation has been observed between total length and other morphometric characters like standard length, head length, snout length, body depth, eye diameter, pre-dorsal length, pre-pectoral length, pre-pelvic length, caudal length. The value of ‘b’ of the length-weight equations is 3.949 which suggest that fish possess positive allometric growth.
Application of Support Vector Machines for Landuse Classification Using High-Resolution RapidEye Images: A Sensitivity Analysis

Abstract The classification accuracy of remotely sensed data and its sensitivity to classification algorithms have a critical importance for the geospatial community, as classified images provide the base layers for many applications and models. Support Vector Machines (SVMs), a non-parametric statistical learning method that has recently been used in numerous applications in image processing. The SVMs need user-defined parameters and each parameter has different impact on kernels hence the classification accuracy of SVMs is based upon the choice of the parameters and kernels. The objective of this study is to investigate the sensitivity of SVM architecture including internal parameters and kernel types on landuse classification accuracy of RapidEye imagery for the study area in Turkey. Four types of kernels (linear, polynomial, radial basis function, and sigmoid) were used for the SVM classification. A total of 63 different models were developed and implemented for sensitivity analysis of SVM architecture. The traditional Maximum Likelihood Classification (MLC) method was also performed for comparison. The classification accuracies of the best model for each kernel type and MLC are 85.63%, 83.94%, 83.94%, 83.82% and 81.64% for polynomial, linear, radial basis function, sigmoid kernels and MLC, respectively. The results suggest that the choice of model parameters and kernel types play an important role on SVMs classification accuracy. Best model of polynomial kernel outperformed all SVMs models and gave the highest classification accuracy of 85.63% with RapidEye imagery.
Effects of oral nutritional supplements on the nutritional status and inflammatory markers in patients on maintenance dialysis: a systematic review and meta-analysis of randomized clinical trials

ABSTRACT Background and aims Patients on hemodialysis (HD) or peritoneal dialysis (PD) often have insufficient energy and protein intake, resulting in poor nutritional status and adverse outcomes. Oral nutritional supplements (ONSs) are the most commonly used to increase such patients’ energy and protein intakes. Methods In this systematic review and meta-analysis, we analyzed studies on nutritional status, inflammatory markers, and electrolyte levels in patients on dialysis receiving ONSs. We searched four electronic databases from inception until 31 December 2022, for randomized controlled trials comparing ONS treatment versus placebo or routine care. Results 22 studies with 1185 patients on dialysis were included in our meta-analysis. Compared with the control group, the ONS group exhibited significantly increased serum albumin levels [1.26 g/l (95%CI, 0.50–2.02, P < 0.0001; I2 = 80.4%)], body mass indexes (BMIs) [0.30 kg/m2 (95%CI, 0.09–0.52, P = 0.005; I2 = 41.4%)], and handgrip strength (HGS) [0.96 kg (95%CI, 0.07–1.84, P = 0.034; I2 = 41.4%)] from baseline to the end of intervention. No significant differences were observed between the groups in lean body mass, phase angle, C-reactive protein, and serum phosphorus and potassium levels. In terms of improving albumin, the subgroup analyses show that ONS use seems to be more inclined to three variations: HD patients, short-term use, and non-intradialytic supplementation. Conclusion In conclusion, ONS use can improve the nutritional status of patients on dialysis in terms of their serum albumin, BMI, and HGS without significant effects on serum phosphorus, potassium, and C-reactive protein levels. However, it remains uncertain whether these results translate to improvement in clinically relevant outcomes. Large-scale high-quality studies are still required in this population.
Nonparametric And Empirical Bayes Estimation Methods

In the present dissertation, we investigate two different nonparametric models; empirical Bayes model and functional deconvolution model. In the case of the nonparametric empirical Bayes estimation, we carried out a complete minimax study. In particular, we derive minimax lower bounds for the risk of the nonparametric empirical Bayes estimator for a general conditional distribution. This result has never been obtained previously. In order to attain optimal convergence rates, we use a wavelet series based empirical Bayes estimator constructed in Pensky and Alotaibi (2005). We propose an adaptive version of this estimator using Lepski’s method and show that the estimator attains optimal convergence rates. The theory is supplemented by numerous examples. Our study of the functional deconvolution model expands results of Pensky and Sapatinas (2009, 2010, 2011) to the case of estimating an (r+ 1)-dimensional function or dependent errors. In both cases, we derive minimax lower bounds for the integrated square risk over a wide set of Besov balls and construct adaptive wavelet estimators that attain those optimal convergence rates. In particular, in the case of estimating a periodic (r+ 1)-dimensional function, we show that by choosing Besov balls of mixed smoothness, we can avoid the ”curse of dimensionality” and, hence, obtain higher than usual convergence rates when r is large. The study of deconvolution of a multivariate function is motivated by seismic inversion which can be reduced to solution of noisy two-dimensional convolution equations that allow to draw inference on underground layer structures along the chosen profiles. The common practice in seismology is to recover layer structures separately for each profile and then to combine the derived estimates into a two-dimensional function. By studying the two-dimensional version of the model, we demonstrate that this strategy usually leads to estimators which are less accurate than the ones obtained as two-dimensional functional deconvolutions. Finally, we consider a multichannel deconvolution model with long-range dependent Gaussian errors. We do not limit our consideration to a specific type of long-range dependence, rather we assume that the eigenvalues of the covariance matrix of the errors are bounded above and below. We show that convergence rates of the estimators depend on a balance between the smoothness parameters of the response function, the