Miracle-dz/UniFAR-FTUs huggingface dataset:
Turn off to tune in: Digital disconnection, digital consciousness, and meaningful leisure

Abstract This think piece reflects on the pervasiveness of smartphones—and the constant connection to information, entertainment, and social connections through the internet—in our lives and the implications for this in leisure. While the benefits of smartphones are well-established, and it seems we are well-served by them, the nuanced, cumulative negative consequences of smartphone use have become apparent. Building from these concerns and employing the theoretical framework of digital well-being, this think piece explores the role, value, and functionality of digital disconnection to enhance meaningful leisure. Further, it explores the notion of digital consciousness, which describes not only self-control of technology use, but also the role of personal choice and agency in deciding where technology should exist within one’s life and their leisure.
Hyperbolic Navier-Stokes Method for High-Reynolds-Number Boundary Layer Flows

In this paper, we discuss issues and resolutions concerning the hyperbolic Navier-Stokes method for high-Reynolds-number flows. Implicit hyperbolic Navier-Stokes solvers have been found to encounter significant convergence deterioration and robustness issues for high-Reynoldsnumber boundary layer flows. The problem is examined in details for a one-dimensional advectiondiffusion model, and resolutions are discussed. One of the major findings is that the relaxation length scale needs to be inversely proportional to the Reynolds number for boundary layer flows. Accurate, robust, and efficient boundary-layer calculations by hyperbolic schemes are demonstrated for advection-diffusion equations in one and two dimensions, and the Navier-Stokes equations.
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model

Healthcare delivery might be completely changed by computer vision technologies. It might be used, in instance, to assess the carbohydrate content of meals for 1 diabetes patients. Based on the bag-of-features (BoF) paradigm, this paper suggests a way for automated food recognition. A thorough technical analysis was carried out to identify and optimize the components that make up the BoF architecture in order to guarantee the best outcomes. Also estimated were the associated parameters. A visual dataset with about 5000 food photos that was divided into 11 groups was developed in order to construct and test the prototype system. Using the scale-invariant 3 feature transform on the HSV colour space, the optimised method calculates dense local features. After that, it utilizes a visual dictionary with 10,000 visual words to create a linear support vector machine classifier is then used to categorize the food photos. The system demonstrated the viability of the suggested strategy in a very difficult picture dataset by achieving a classification accuracy of about 88%. By giving diabetes patients a more precise and effective means to control their carbohydrate consumption, this cutting-edge technology might have a profound effect on their quality of life.
Simulation of semidilute suspensions by Dissipative Particle Dynamics

The stochastic Dissipative Particle Dynamics (DPD) method is calibrated to discover how relative viscosity of monodisperse colloidal suspension versus volume fraction behaves against different settings assumed for solid mesoparticles. This process together with monitoring the system statistical properties and temperature reveals routes towards capturing the experimental relative viscosity with reasonable computational cost and numerical complexity. Amongst many setting parameters, we only focus on alteration patterns in relative viscosity in semidilute regime obtained by changing solid DPD particles diameter, repulsion coefficient and dissipation rate. Repulsion parameter for solid species plays a major role in adjusting system homogeneity which is crucial to have a stable suspension by avoiding agglomeration. An interesting connection is made between the degree of suspension homogeneity, 3D occupancy patterns and maximum peak in radial distribution function (RDF). The isotropy in diffusion patterns and MSD linear graphs assist to obtain the optimum species size ratio leading to experimental relative viscosity.
Shape scanning displays: tomographic decomposition of 3D scenes

Although there have been a desire to implement ideal three-dimensional (3D) displays, it is still challenging to satisfy commercial demands in resolution, depth of field, form factor, eye-box, field of view, and frame rate. Here, we propose shape scanning displays that may have extremely large depth of field (10cm-infinity) without loss of frame rate or resolution, and enough eye-box (7.5mm) with moderate field of view (30°). Furthermore, our prototype provides quasi-continuous focus cues as well as motion parallax by reconstruction of 120 tomographic layers. Shape scanning displays consist of a tunable lens, a display panel, and a spatially adjustable backlight. The synchronization of the tunable lens and spatially adjustable backlight could provide additional dimension of depth information. In summary, we introduce a novel 3D display technology called shape scanning displays that present superior performance in resolution, depth of field, and focus cue reproduction. This approach has a lot of potential to be applied for various field in 3D displays including head-up displays, tabletop displays, as well as head-mounted displays. It could be efficient solution for vergence-accommodation conflict as providing accurate focus cues.
Effect of sorbitol and boron on the growth and seed quality of faba bean (Vicia faba L.)

Since ancient times, many edible crops have been planted in Egyptian lands that have become an essential part of daily eating habits; faba bean (Vicia faba L.) became one of these crops and also became the most important food legume crop in Egypt. This experiment was carried out in the two winter seasons (2020/2021 and 2021/2022) at Tag El-Ezz Research Station using two varieties of faba bean (Giza 843 and Nubaria 5) and adding sorbitol (sugar alcohol) and boron, individually or combined via seed soaking and foliar application, to investigate the ability to improve seed yield and quality. A split-plot design was used where faba bean varieties were in the main plots while sorbitol and boron treatments were in sub-plots. Results indicated that the Giza 843 variety was better. Pronounced differently, differences among studied treatments are either combinations or singles. The best performance was recorded with the soaked Giza 843 variety with treatments (sorbitol at 10.0 g L-1 and boron at 10.0 mg L-1) and simultaneously foliar application with the same rates during plant life. Generally, it can be concluded that the seed soaking and foliar application of sorbitol and boron were successful ways to improve field emergence and optimize seed yield (quality and quantity) of both faba bean ( Vicia faba L.) varieties Giza 843 and Nubaria 5.
New potential biomarkers for early chronic kidney disease diagnosis in patients with different glucose tolerance status

Background The purpose of the present study was to investigate the role of oxidative stress, platelet activation, and endocan levels in renal dysfunction in normal glucose tolerance (NGT) patients with 1-h plasma glucose values ≥155 mg/dl (NGT ≥ 155), compared to NGT < 155, impaired glucose tolerance (IGT), and type 2 diabetes mellitus (T2DM) newly diagnosed subjects. We enlisted 233 patients subjected to an oral glucose tolerance test (OGTT). Materials and methods The serum levels of platelet activation (glycoprotein VI and sP-selectin), oxidative stress biomarkers (8-isoprostane and Nox-2), and endocan were evaluated using an ELISA test. Results Among NGT < 155 patients and the T2DM group, there was a statistically significant increase in 8-isoprostane (p < 0.0001), Nox-2 (p < 0.0001), glycoprotein VI (p < 0.0001), and sP-selectin (p < 0.0001) serum levels. Higher serum endocan levels were found with the worsening of metabolic profile (p < 0.0001); specifically, NGT ≥ 155 patients presented higher serum endocan values when compared to NGT < 155 patients (p < 0.0001). From the multivariate linear regression analysis, 1-h glucose resulted in the major predictor of estimated glomerular filtration rate (e-GFR) justifying 23.6% of its variation (p < 0.0001); 8-isoprostane and Nox-2 added respectively another 6.0% (p < 0.0001) and 3.2% (p = 0.001). Conclusion Our study confirmed the link between 1-h post-load glucose ≥155 mg/dl during OGTT and the possible increased risk for chronic kidney disease (CKD) in newly diagnosed patients. The novelty is that we demonstrated a progressive increase in oxidative stress, platelet activation, and serum endocan levels with the worsening of metabolic profile, which becomes evident early during the progression of CKD.
Longitud y diámetro del conducto radicular en primeros molares superiores deciduos usando Tomografía computarizada Cone Beam: estudio in vitro

Objectives: determine the total length and the largest diameter in cervical, middle and apical level of deciduous mandibular first molars using cone beam computed tomography. Materials and method: In this cross-sectional study a sample of 21 deciduous upper first molars with the length of the complete root and no fracture was analyzed. The teeth were scanned using CT Cone Beam, the diameter of the root canal was measured by taking three points of reference for these measures, cervical, middle and apical. The obtained images were examined and measured by mean a 3D processing imagery software. The measures of the ducts was made by a single observer (CCI= 0.70); nonparametric Kruskal-Wallis test to compare and find the differences were used. Results: The average length of deciduous upper first molars was 13.53 mm, 5.61 mm crown and root 7.92 mm. The average diameter of the palatal root canal was 0.98 mm in cervical level, 0.73 mm in middle level and 0.50 mm in apical level; the average diameter of the mesial root canal was 0.60 mm in cervical level, 0.46 mm in middle level and 0.27 mm in apical level; the average diameter of the distal root canal was 0.70 mm in cervical level, 0.54 mm in middle level and 0.37 mm in apical level. Conclusions: In deciduous first upper molars the diameters of the palatal root canal were the largest diameter in all levels. The mesial of the first molars is the root that presents the shortest diameter at his roots canals in all levels (cervical, middle and apical).
Growth models for shapes

A central problem in computer vision is to detect, delineate (segment) and recognize objects in an image. One reason why this is difficult is that very little information specific to given types of objects is used during segmentation. Making use of information about an object's shape, for example, should facilitate and improve the segmentation of that object. The thrust of this thesis lies in the development of models for shape that provide an effective basis for computer-aided recovery of natural, specifically biological, shapes. We introduce a 2D discrete growth model for shape from a point on a Cartesian grid, based on notions related to biological growth. By "growth" is meant an accretionary process occurring at the boundary of the shape. We discuss two types of growth models: probabilistic models and deterministic (periodic) models. A probabilistic model on the Cartesian grid, which associates probabilities of growth with each of the eight directions, is considered. While such models empirically have been shown to describe many natural growth phenomena, complete quantitative characterizations do not yet exist. We prove that a class of models of this type is not capable of generating isotropic shapes. We introduce a new type of deterministic growth model based on the notion of "time delay". Associating a delay with each direction defines a time delay kernel (TDK); we show that such kernels produce classes of convex octagons, and that sequences of TDKs can give rise to arbitrary convex polygons. We also show that growth in a (stochastic) environment of facilitators and inhibitors, which decrease or increase the time delays respectively, appears to describe biological growth processes. As an example, we present results which suggest that simple periodic growth processes in an environment describe the gross morphology of multiple sclerosis lesions at the scale afforded by magnetic resonance images.
Multi-objective optimization of the UAV wing by means of evolutionary computations

The paper presents an application of the in-house implementation of the evolutionary multi-objective algorithm. Different types of functionals, which depend on equivalent stress, displacement and total mass of the structure are defined. Values of the functionals are calculated on the basis of results obtained from numerical simulations. Numerical model of the UAV wing, composed of different laminate materials has been prepared and verified experimentally. Automatic calculation of the fitness functionals for the parameterized model is prepared. Examples of multi-objective optimization by means of 2D and 3D Pareto-optimal set of solutions are presented. Effectiveness and usefulness of proposed method of multi-objective optimization are shown.DOI: http://dx.doi. org/10.5755/j01.mech. 22.6. 14419
System characteristic identification of timbrel domes using modal analysis

A half scale physical model (Model Dome) of one of the timbrel domes located in the Nebraska State Capitol is constructed at the Peter Kiewit Institute-Structures Laboratory of the University of Nebraska. The Model Dome represents the unique construction style of concentric timbrel domes. The final dome is to comprise of three-layers of thin clay tiles, however, currently it is formed of a single layer of tiles, as the project is in progress. Using experimental modal analysis techniques, the possibilities of extracting system characteristics are investigated. The system characteristics of interest are natural frequency, mode shapes and component stiffness values. Moreover, several experiments are conducted to study the relationships between these parameters, such as testing the dome with an external mass, i.e. varying the mass, while keeping the stiffness constant. The dome is also tested several times during the year and changes in the material characteristics due to environmental effects are taken into consideration. Three-dimensional finite element models are created for the Model Dome to aid in the material characteristic identification. The comparison of experimental and analytical results also leads to a more accurate simulation of the structural behavior of the actual system and allows for useful recommendations for the finite element modeling of these structures.
City Branding Dimensions, Strategies, and Obstacles: A Literature Review

City branding is carried out to develop cities, attract tourism, introduce the city's wealth, and improve the community's quality of life. Various ways are done to show the uniqueness and distinctiveness that is owned. Some city branding efforts are seasonal, in vain, fail, and must be clarified for the public. This study aims to analyze the dimensions of city branding, strategies to build city branding, and obstacles and solutions in building city branding. This research is a critical literature review reviewing 35 articles from 2017 to 2023 and focusing on the progress of research on city branding. The formulation and findings of this study are the dimensions of city branding, namely tourist attraction, security and public services, and public policy and government coordination with the community. The city branding strategy can be carried out in five ways: introducing cultural diversity, culinary diversity, natural wealth, improving public services and security, and promoting and building a mascot. The obstacles to city branding are the need for coordination between the government and the community, inadequate facilities and infrastructure, and unclear concepts related to the city branding used. The implications of this research indicate that city branding efforts must be integrated between government policies and community participation. Full involvement of the government and good cooperation with community members and Small and Medium Enterprise (creative community groups) is recommended to be one of the efforts to build city branding in various cities and is also recommended for city branding program plans.
A comparison of deep and shallow models for the detection of induced seismicity

Can an interpretable logistic regression model perform comparably to a deep learning model in the task of earthquake detection? In spite of the recent focus in academic seismological research on deep learning, we find there is hope that it can. Using data from the Groningen Gas Field in the Netherlands, relating to low‐magnitude induced seismicity, we build on a recently presented four‐input logistic regression model by adding to it four further statistically derived features. We evaluate the performance of our feature‐enhanced model relative to both the original logistic regression model (shallow machine learning model) and a deep learning model proposed by the same research group. We discover that at the signal‐to‐noise ratio of this earlier work, our enhanced logistic regression model in fact overall outperforms the deep learning model and displays no false negative errors. At the lower signal‐to‐noise ratios also considered here, while the number of false positive errors made by the logistic regression model increases, the number of undetected earthquakes remains zero. Though the number of false positives is for the highest imbalance ratios currently prohibitive, the benefit of our four additional features, which increases as the signal‐to‐noise ratio decreases, suggests that an interpretable model might be made to perform comparably to a more complex deep learning model at real‐world class imbalance ratios if further useful inputs could be identified.
Application of discrete Burr XII distribution in the analysis of animal production data

In animal production, the models that mimicry the biological reality are of great importance for optimization and sustainability of the productive system. The continuous Burr XII distribution is widely used in survival data analysis, however, the same does not occur with its discrete version, recently proposed in the literature. The purpose of this work is to use the discrete Burr XII distribution, obtained by the discretization method proposed by Nakagawa and Osaki (1975), in the analysis of data related to animal production. The data analyzed describe the time, in days, from birth to first laying of yellow quail (Coturnix coturnix japonica) submitted to two diets. For this purpose the discretized versions of five distributions were used: the discrete Burr XII, the discrete Weibull, the discrete gamma, the discrete inverse-Gaussian and the discrete log-normal. For all distributions, the parameter estimates were obtained by the maximum likelihood method. Despite the similarity between the estimates it is natural to choose the discrete given the nature of the data and assuming the discrete distribution, it could be calculated exactly, for example, the probability of the time to the first posture, which is not possible if a continuous distribution is assumed. Thus, among the discrete distributions, the chi-square goodness-of-fit test showed that the Burr XII distribution was the only one indicated to describe the behavior of the data considered.
Sobolev orthogonal polynomials generated by Jacobi and Legendre polynomials, and special series with the sticking property for their partial sums

The paper is concerned with polynomials , , orthonormal with respect to the Sobolev-type inner product where is an arbitrary natural number. Fourier series in the polynomials and some generalizations of them are introduced. Partial sums of such series are shown to retain certain important properties of the partial sums of Fourier series in the polynomials , in particular, the property of -fold coincidence (sticking) of the original function and the partial sums of the Fourier series in the polynomials at the points and . The main emphasis is put on problems of approximating smooth and analytic functions by partial sums of such generalized series, which are special series in ultraspherical Jacobi polynomials, whose partial sums have the sticking property at the points and . Bibliography: 31 titles.
Mediating Effect of Humanism on the Relationship between Task Performance Competence and Holistic Nursing Competence for Clinical Nurses

This is a cross-sectional descriptive study that investigates the mediating effect of humanism on the relationship between task performance and holistic nursing competence among clinical nurses. The participants were nurses with more than one year of work experience in general hospitals in South Korea, recruited using convenience sampling. A total of 227 data samples were collected. A self-reported questionnaire including the task performance competence scale, holistic nursing competence scale, and humanism scale was used for the survey. Data were analyzed using the t-test, analysis of variance, Pearson’s correlation coefficients, and hierarchical multiple regression after checking for normal distribution. The results showed that task performance competence, holistic nursing competence, and humanism differed according to characteristics such as gender, age, educational level, marital status, position, length of career, and job and salary satisfaction. Task performance competence was positively correlated with holistic nursing competence and humanism. A positive correlation was also observed between holistic nursing competence and humanism. A partial mediating effect of humanism in the relationship between task performance competence and holistic nursing competence was confirmed. Thus, to increase nurses’ holistic nursing competence, it is necessary to improve task performance competence and formulate a continuous and repetitive education program that includes humanism.
Epidemiology of porcine deltacoronavirus among Chinese pig populations in China: systematic review and meta-analysis

Porcine deltacoronavirus (PDCoV) is a newly emerging and important porcine enteropathogenic coronavirus that seriously threatens the swine industry in China and worldwide. We conducted a systematic review and meta-analysis to access the prevalence of PDCoV infection in pig population from mainland China. Electronic databases were reviewed for PDCoV infection in pig population, and meta-analysis was performed to calculate the overall estimated prevalence using random-effect models. Thirty-nine studies were included (including data from 31,015 pigs). The overall estimated prevalence of PDCoV infection in pigs in China was 12.2% [95% confidence interval (CI), 10.2–14.2%], and that in Central China was 24.5% (95%CI, 16.1–32.9%), which was higher than those in other regions. During 2014–2021, the estimated prevalence of PDCoV infection was the highest in 2015 at 20.5% (95%CI, 10.1–31.0%) and the lowest in 2021 at 4.8% (95%CI, 2.3–7.3%). The prevalence of PDCoV infection in sows was 23.6% (95%CI, 15.8–31.4%), which was higher than those in suckling piglets, nursery piglets, and finishing pigs. The prevalence of PDCoV infection was significantly associated with sampling region, sampling year, pig stage, and clinical signs (diarrhea). This study systematically evaluated the epidemiology of PDCoV infection in Chinese pig population. The findings provide us with a comprehensive understanding of PDCoV infection and are beneficial for establishing new controlling strategies worldwide.