Miracle-dz/UniFAR-FTUs huggingface dataset:
Meta-Analysis of the Relationships Between the Adequacy of Family Resources andPersonal, Family, and Child Well-Being

This meta-analysis includes evaluations of the relationships between the adequacy of family resources and seven dimensions of personal, family, and child well-being. Adequacy of family resources was expected to be related to enhanced positive well-being and attenuated negative well-being. Studies were eligible for inclusion if the Family Resource Scale was used to measure family resources, the total scale score was used to measure the adequacy of family resources, one or more personal, family, or child well-being measures was used to assess psychological functioning, and the correlations between the adequacy of family resources and well-being were reported. Forty-four research reports met the inclusion criteria and included 50 independent samples of study participants (N = 8,183). The studies were conducted in six different countries between 1986 and 2019. Results showed that adequacy of family resources was positively related to all seven personal, family, and child well-being measures. The findings provide support for the contention that the adequacy of family resources would be related to enhanced positive and attenuated negative well-being. The strength of the relationships between family resources and the different dimensions of well-being differed as a function of child risk condition but not the number of family resource scale items used to measure the adequacy of family resources. The results are consistent with the basic tenets of different family systems models. Both the strengths and limitations of the research synthesis are described.
Design and Fabrication of Dragonfly Test Bed for Aerodynamic Characterization

This paper focuses on the design of an electro-mechanical device for studying the aerodynamic behavior of flapping wings. The experimental device is designed to mimic the flight behavior of dragon fly. Wing flapping speed is precisely controlled by controlling the motor speed. Wing flapping amplitude could be varied by changing the rotating arm length. Wing rotation amplitudes during downand upstroke could be different and are controlled separately by two different springs. A six degree of freedom sensor is placed at the wing root to collect the force and torque data. The test of a wing with a dragonfly hind-wing contour but enlarged 11 times, showed the device met the design expectation, and further more, the phase-averaged data for lift force in one flapping cycle had the similar pattern as the ones obtained via CFD simulations as well as the one calculated based on a real dragonfly’s flight behavior.
Uso do cilindro infiltrômetro único em diferentes solos

Infiltrometer ring (IAC) has been the most used way for the soil intake rate determination, although the best result comes from the technique using no pressure head, like in rainfall simulator, for application in sprinkler irrigation. The objective of this work was the evaluation of a single ring infiltrometer (ICU) comparing its data with those from an IAC and rainfall simulator. The evaluation was done in two types of soils, Dystrophic Dusky Red Latosol and Cambisol, using an ICU with diameter of 0.20 m and 0.50 m high, with hydraulic heads varying from 0.03 m to 0.30 m with intervals of 0.03 m and three repetitions. It was used, for comparison, an IAC with diameters of 0.30 m and 0.90 m, with three replications and hydraulic heads of 0.05 m and 0.10 m. The rainfall simulator utilized had an area of 1.0 m2 with two sprinklers. It was observed that, the elevation of hydraulic head in the ICU promoted an increase in the water flow into the soil, in a polynomial model, for both soils. The IAC may underestimate or upperestimate the real values of final intake rate, depending on the soil and the hydraulic head. The soil water intake rate can be estimate, with no pressure head, using an ICU with a desired pressure since a correction factor is applied according to the soil type.
Modelling alpine glacier geometry and subglacial erosion patterns in response to contrasting climatic forcing

Climate exerts a primary control on glacier mass balance, driving changes in ice flux, which affects basal sliding and subglacial erosion. Although past glacier reconstructions have been widely used as paleo‐climate proxies, extracting quantitative temperature/precipitation data from paleo‐glaciers is still challenging. The iSOSIA ice model was used over a synthetic landscape to quantitatively investigate the non‐linear dependence of glacier geometry and ice dynamics on climate forcing, as well as to analyse how spatial patterns of subglacial erosion and erosion rates vary between the accumulation and ablation zones for different climatic settings. We performed 10 calibrated climatic scenarios with different combinations of temperature and precipitation rate in two separate sets of simulations [maintaining either same equilibrium line altitude (ELA) or same ice extent; SA and ST, respectively]. Our results reinforce the role of climate and the importance of ice flux in conditioning glacier geometry. In SA simulations, contrasting climatic scenarios showed a major influence on glacier length and thickness. In ST simulations, calibrated ELAs presented a variability of over 300 m in order to maintain similar ice extent, but showed reduced changes in glacier thickness. These results highlight the importance of ice flux to predict glacier geometry, when compared to the overall mass balance from an ELA estimate. Subglacial abrasion and quarrying showed notable differences between the accumulation and ablation zones for varying climatic forcing, with multimodal erosion distributions for increased precipitation/temperature, shifting erosion towards higher‐elevation tributaries and connecting erosion patches in the ablation zone. Such trends highlight the role of subglacial hydrology and ice‐bed contact (cavitation) in dictating patterns of subglacial erosion, while the depth of erosion relates closely to ice flux and climate inputs. Our results have potential implications for paleo‐climate reconstructions based on glacier geometry and provide insights on how subglacial erosion can help estimate paleo‐climatic conditions from paleo‐glacial records.
Neuron Specific Enolase in Children with Diabetic Ketoacidosis: Does it Correlate with Impaired Consciousness and Disease Severity?

Background: Diabetes ketoacidosis (DKA) is the leading cause of death in children with diabetes, especially when it is complicated by cerebral edema. The predictors of CNS dysfunction/injury are largely unknown. In many neurological disorders, neuron-specific enolase (NSE) is a marker of neuronal damage. Objective: This study aimed to investigate the role of serum neuron-specific enolase as a marker of neuronal damage in patients with DKA. Patients and methods: A cross-sectional study with 90 DKA patients (aged 9.58 ± 2.89 years) presenting to Pediatric Intensive Care Unit (PICU), Children Hospital Zagazig University. Patients subjected to clinical history and examination including Glasco coma scale (GCS), blood glucose, serum electrolytes, blood PH and computed tomography of the brain for children with disturbed consciousness. Blood NSE at admission (baseline point) and after 24 hours of starting treatment of DKA (2-time points). Results: There was a significant difference between NSE level on admission and NSE level 24 hours after start of treatment. Patients with low GCS scores had higher serum NSE at baseline and 2-time points than those with normal CGS (P=0.001; P=0.053). Patients with moderate and severe DKA had higher NSE at baseline and 2-time points in comparison with those with mild DKA (P=0.001; P=0.098). Conclusions: Children with moderate to severe DKA and impaired consciousness had higher serum NSE. The high levels of NSE in patients with abnormal GCS, in the absence of cerebral edema on brain imaging indicate that NSE is a reliable marker of neuronal injury.
Investigation of Two-Equation Turbulence Models Applied to a Confined Axis-Symmetric Swirling Flow

The modeling of industrial combustion applications today is almost exclusively based on two-equation turbulence models. Despite its known limitations, the most the widely used model is still the standard k-e model. The objective of this paper is to investigate the performance of two-equation turbulence models applied to a confined swirling flow. Numerical modeling of an axis-symmetric confined sudden expansion, followed by a contraction with the assumption of steady flow and an incompressible fluid, has been conducted. The flow field is what can be expected in simplified dump gas turbine combustor geometry. In this investigation, three different swirl cases were considered: no swirl, moderate swirl (no central re-circulation zone) and strong swift (a central recirculation zone occurring). The models investigated were: the standard k-e model, a curvature-modified k-e model, Chen's k-e model, a cubic non-linear k-e model, the standard k-ω model and the Shear Stress Transport (SST) k-ω model. The results show that almost all models were able to predict the major impact of the moderate swirl: reduced outer re-circulation lengths and retardation of the axial velocity on the center-line. However, the Chen k-e model and the SST k-ω model were found to better reproduce the mean velocity field and the turbulent kinetic energy field from the measurements. For a strong swift, a large re-circulation zone is formed along the center-line, which the standard k-e model and the modified k-e model fail to predict. However, the shape and size of the re-circulation zone differ strongly between the models. At this swirl number, the performances of all models were, without exception, worse than for the lower swift numbers. The SST k-ω model achieved the best agreement between computations and experimental data. (Less)
Efficacy of a Novel Low-Glycemic-Index Medical Food on Satiety and Gut Hormone Responses in the Normal-Weight and Obese

Low glycemic index medical food (LGI) has been utilized as a meal replacement for patients with type 2 diabetes, obesity, and improving other metabolic outcomes. However, since the impact of this diet on hormones and satiety is unclear, this study determined the effect of a novel LGI on satiety and gut hormone responses in normal-weight and obese adults. Methods: The study was a randomized, cross-over, single-blind controlled trial. Healthy adults aged 20–45 years consisting of 20 normal weight (NW) and 20 obese (OB) as classified by % body fat. Each subject was assigned to drink the soybean milk (SB) as a control and the novel LGI breakfast (ONCE PROR) as a test meal in a random order, with a seven-day washout period. Their satiety was assessed with a visual analog scale (VAS) questionnaire before and every 30 minutes after each breakfast for 240 minutes. Plasma GLP-1, ghrelin, and total PYY were measured at baseline, 30, 60, 120, and 240 minutes after breakfast. After 240 minutes, subjects were given a buffet lunch to eat until satiated and total lunch intake was recorded. Results: Both NW and OB had significantly higher GLP-1 and PYY AUCs and significantly lower ghrelin AUCs (both NW and OB; GLP-1 p<0.0001, PYY p<0.01, and ghrelin p<0.001) after the novel LGI compared to SB, which were related to the satiety and hunger scores. After the novel LGI, both groups rated themselves as less hungry and fuller than SB. Moreover, ghrelin AUC of OB was significantly lower than NW (p < 0.05) after consuming the novel LGI which was related to a significantly lower hunger score (p <0.05) and a tendency to eat less lunch than after SB. Conclusions: The novel low glycemic index medical food had superior effects on gut hormones and satiety improvement over soybean milk in both NW and OB subjects. Furthermore, OB tended to be more influenced by the novel LGI than NW on the hormonal changes and decreased eating.
Energy Harvester with a Dynamic Magnifier

Conventional energy harvester typically consists of a piezoelectric element, which is sandwiched between a proof mass and a base subjected to sinusoidal excitation. The resulting relative motion between the proof mass and the base produces a mechanical strain in the piezoelectric element, which is converted into electrical power by virtue of the direct piezoelectric effect. In this study, harvester is provided with a dynamic magnifier consisting of a spring-mass system which is placed between the piezoelectric element and the moving base. The main function of the dynamic magnifier, as the name implies, is to magnify the strain experienced by the piezo-element in order to amplify the electrical power output of the harvester. With proper selection of the design parameters of the magnifier, the harvested power can be dramatically enhanced and the effective bandwidth of the harvester can be improved. The theory governing the operation of this class of energy harvesters with dynamic magnifier (EHDM) is developed using the Lagrangian dynamics approach. Numerical examples are presented to illustrate the performance characteristics of the EHDM in comparison with the conventional energy harvesters. The obtained results demonstrate the feasibility of the EHDM as a simple and effective means for enhancing the magnitude and spectral characteristics of conventional harvesters.
Comparing double‐negative and double‐positive covers around a radiating line current

The power radiated by a line source per unit length, surrounded by a double‐negative (DNG) material is analytically found and compared with that obtained in case of a double‐positive (DPS) material. Results indicate that the presence of significant increase in the radiated power with a shift in resonance. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48:250–252, 2006; Published Online in Wiley InterScience (www.interscience.wiley.com) DOI 10.1002/mop.21319
JOB SATISFACTION AMONG DENTISTS OF THE MINISRTY OF HEALTH IN ALEXANDRIA

INTRODUCTION: High prevalence of work-related physical and psychological disorders among dentists has been reported. Only one study explored job satisfaction among Health Insurance Organization dentists, in Alexandria. However, job satisfaction among Ministry of Health and Population (MOHP) dentists has not been examined. OBJECTIVES: The objective of this study was to measure the level of job satisfaction among MOHP dentists, in Alexandria and to assess the association of work environment factors as well as personal and practice-related factors to job satisfaction. MATERIAL AND METHODS: This study was a cross sectional analytical survey conducted among dentists working in MOHP facilities, in Alexandria during a six month period from October 2019 to March 2020. A validated questionnaire modified from the Dentists Satisfaction Survey that was previously tested in Saudi Arabia was adopted. The first section was concerned with demographic and practice related data whereas the second section explored work environment factors. Multivariable stepwise linear regression analysis was performed to examine the association between total mean job satisfaction with personal/ practice related characteristics and work environment factors. RESULTS: The level of job satisfaction was neutral (2.91±0.41). Overall job satisfaction (Beta=0.437), monetary satisfaction (Beta=0.328) and personal time (Beta=0.265) reported the most significant associations with job satisfaction according to the multivariable linear regression analysis. CONCLUSIONS: This study revealed that overall job satisfaction, perception of income and personal time showed a significant impact on job satisfaction. The findings of this study would help policy makers to design plans to increase level of job satisfaction among dentists.
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning

We present an approach to contrastive representation learning for semantic segmentation. Our approach leverages the representational power of existing feature extractors to ﬁnd corresponding regions across images. These cross-image correspondences are used as auxiliary labels to guide the pixel-level selection of positive and negative samples for more effective contrastive learning in semantic segmentation. We show that auxiliary labels can be generated from a variety of feature extractors, ranging from image classiﬁcation networks that have been trained using unsupervised contrastive learning to segmentation models that have been trained on a small amount of labeled data. We additionally introduce a novel metric for rapidly judging the quality of a given auxiliary-labeling strategy, and empirically analyze various factors that inﬂuence the performance of contrastive learning for semantic segmentation. We demonstrate the effectiveness of our method both in the low-data as well as the high-data regime on various datasets. Our experiments show that contrastive learning with our auxiliary-labeling approach consistently boosts semantic segmentation accuracy when compared to standard ImageNet pre-training and outperforms existing approaches of contrastive and semi-supervised semantic segmentation.
Numerical investigation of the effects of combining sewer junction characteristics on the hydraulic parameters of flow in fully surcharged condition

In this study, the effects of different parameters on flow structure and flow hydraulics for combining sewer junction consisting of manhole and lateral inflow were investigated numerically. For this purpose, the effects of dimension variations, main and lateral pipe slope, angle and the joint position of lateral pipe beside manhole, manhole geometry, and the outflow rate of manhole on flow structure and energy loss coefficients were investigated. Results show that the rate of energy loss decreases by heightening the installation position of lateral pipe beside manhole. In addition, it was shown that the slope variations of main and lateral pipes and outflow rate do not affect the rate of energy loss.
The effect of potassium salts and ash from biomass combustion on the degradation of monoethanolamine for carbon capture

Using bioenergy with carbon capture and storage (BECCS) provides the opportunity for negative carbon dioxide emissions from power generation. BECCS has been identified by many academics and advisory groups as an invaluable technology to assist in urgent lowering of carbon dioxide emissions by 2050 [1]. Post-combustion capture (PCC) using monoethanolamine (MEA) is often used as the benchmark for solvent comparison. However, research into the degradation of monoethanolamine (MEA) has been mostly focused around its use with coal fired power stations. The combustion of biomass provides a different mix of inorganics present in the combustion flue gases, such as potassium which is particularly high in biomass compared to coal. Therefore, this research aims to examine if potassium species present in biomass flue gas will affect the degradation of MEA.
PARAMETER SELECTION APPROACH AND OPTIMIZATION IN ABRASIVE WATER JET MACHINING by Beril Çetin Submitted to the Graduate School of Engineering and Natural Sciences in partial fulfilment of the requirements for the degree of Master of Science

Abrasive Water Jet Machining (AWJM) is a non-traditional machining technique that uses high pressurized water for production. It is advantageous in comparison to conventional milling in terms of being cost, time and environmentally effective. For this to be the case, parameters must be chosen accordingly. Since AWJM has been in use for over decades, a significant amount of research has been made of parameter effects on mainly obtaining the best surface quality and maximum material removal rate. This thesis proposes a parameter selection approach, taking the interrelations among the parameters that affect the process. By looking at the relations, a method is proposed to choose parameters within specific ranges. The most effective parameters are abrasive flow rate, pressure and feed rate, whereas stand-off distance can be taken as minimum in general. The proposed approach gives an insight into parameter relations, in addition to guiding the parameter selection order. Minimum cycle time and minimum total cost are also computed through different solvers. In this research, FMINCON solver of MATLAB © and Genetic Algorithm are used. Both time and cost are computed by the mentioned optimization techniques and compared in terms of their result. It is seen that both methods have similar results, however the randomness in genetic algorithm, FMINCON solver is preferred in this case. Flatness, perpendicularity and roundness features of parts that AWJM produced are also examined. It is concluded that abrasive water jet machining is capable of achieving part quality within the tolerance values for these features.
Understanding consumers’ perceptions towards Iberian pig

14 The Spanish market offers a greater variety of Iberian pork products. The aim of this 15 paper is to determine the perception of consumers of several aspects of Iberian pig 16 production and animal welfare depending on the consumers’ characteristics. 17 Consumers from two Spanish regions (n=403) answered a questionnaire about their 18 beliefs and the importance of pig production, their purchase intentions and their 19 willingness to pay. Consumers were segmented according to their level of knowledge 20 about Iberian pig production. The results of this work indicate that consumers have 21 poor knowledge about Iberian pig production. Even so, consumers show a remarkable 22 preference for Iberian products, especially when the animals are reared freely and in 23 natural conditions, giving great importance to animal welfare. Consumer preferences 24 indicate the importance of emphasizing Iberian traditional pig product characteristics on 25 the label to promote their purchase choices. 26