Miracle-dz/UniFAR-FTUs huggingface dataset:
Design consideration for power factor correction boost converter operating at the boundary of continuous conduction mode and discontinuous conduction mode

A boost power converter operating at the boundary of continuous conduction mode (CCM) and discontinuous conduction mode (DCM) for power factor correction is described. Theoretically, the operation at the boundary of CCM and DCM is considered constant on-time for the boost switch. Due to finite switching frequency and capacitor filter effect, the switch turn-on time varies throughout the entire cycle. This variation of the switch on-time affects the average switching frequency and the circuit component selection criterion. The relationship between the circuit components and the switch on-time based on the fundamental principle of the power circuit operation is derived. A 44 W boost converter is designed and constructed accordingly. Experimental results show that the theoretical analysis along with practical design consideration can accurately predict the switch on-time and switching frequency. <<ETX>>
Impact of COVID-19 on Saudi Children: Special Focus on Behavioral, Social, and Emotional Aspects, 2020-2021

Background The coronavirus disease 2019 (COVID-19) pandemic has negatively affected many aspects of daily life. In Saudi Arabia, many studies, using a range of assessment approaches, have examined how the pandemic has affected the mental health of both the general public and healthcare workers. However, to develop effective public-health initiatives for such crisis events, it would also be relevant to determine the pandemic’s impact on the behavioral, emotional, and social lives of Saudi children. Objective To assess, among Saudi children aged 3-15 years, the behavioral, emotional, and social changes that have occurred in their daily lives due to the COVID-19 pandemic. Materials and methods This study featured a cross-sectional design. Potential participants were approached through the most popular social media in Saudi Arabia, and the final sample size was 651 parents. As, at the time of data collection, the members of the Saudi public were requested to avoid face-to-face meetings where possible, a well-designed electronic questionnaire featuring closed-ended questions was used. Results Descriptive statistics showed that the mean age of the parents was 29±7 years (range: 20-60 years); over half (58%) were female. During the COVID-19 outbreak, one-third of children had asked to sleep in their parents’ beds. Furthermore, approximately 30% of children demonstrated increased irritability and mood swings when compared with the period before the pandemic. Concerning adaptive social behaviors, during the pandemic, 22% of children appeared calmer and 14% of children seemed more thoughtful. Our study reports more screen time, less physical activity, and reduced sleep time among children compared with the pre-pandemic period. Conclusion The COVID-19 pandemic has psychologically affected children. The present results highlight the need to reduce this psychological burden by enhancing children’s emotional resilience and involving parents in health-promotion programs aimed at mitigating the negative impacts of such public-health crises.
Research on a collocation approach and three metaheuristic techniques based on MVO, MFO, and WOA for optimal control of fractional differential equation

Exploiting a comprehensive mathematical model for a class of systems governed by fractional optimal control problems is the significant focal point of the current paper. The efficiency index is a function of both control and state variables and the dynamic control system relies on Caputo fractional derivatives. The attributes of Bernoulli polynomials and their operational matrices of fractional Riemann–Liouville integrations are applied to convert the optimization problem to the nonlinear programing problem. Executing multi-verse optimizer, moth-flame optimization, and whale optimization algorithm terminate to the most excellent solution of fractional optimal control problems. A study on the advantage and performance between these approaches is analyzed by some examples. Comprehensive analysis ascertains that moth-flame optimization significantly solves the example. Furthermore, the privilege and advantage of preference with its accuracy are numerically indicated. Finally, results demonstrate that the objective function value gained by moth-flame optimization in comparison with other algorithms effectively decreased.
Mathematical Model of a Mechatronic Pinch-Type Gripper for Textiles

In this paper, the dynamics of a pinch-type gripper for textiles have been studied. We considered an example of a gripper in which the motion of closing and opening is effected by means of a screw. A set of equations describing the gripper’s behaviour, preceded with a differential equation of the driving torque of the gripper’s driving motor, has been solved numerically using the Runge-Kutta method. The computer program which controls the gripper operation includes feedback between the reaction force of the textile material and the supply voltage. The results of calculations which illustrate the textile material’s reaction to the gripper’s action are presented in diagrams.
Dripline Depth Effects on Corn Production when Crop Establishment is Nonlimiting

A four-year yield study (1999-2002) was conducted to examine the effect of dripline depth on subsurface drip-irrigated field corn grown on the deep silt loam soils of western Kansas. An additional year (2003) was included in the analysis of long-term dripline flow rates and temperatures at the soil/water interface along the dripline. Germination of the field corn with the subsurface drip irrigation system was not examined in this field study. Results indicate that dripline depths ranging from 0.20 to 0.61 m are acceptable for field-corn production on silt loam soils in the region. Averaged over the 4 years of the study, yields were slightly less for the deepest (0.61 m) dripline depth and water use was slightly less for the 0.51- and 0.61-m depth compared to the 0.20-, 0.30-, and 0.41-m depths. There were no apparent effects of dripline depth on long-term flow rates. The results suggest that other factors external to the study might have a larger influence on selection of dripline installation depth. These other factors might include producer preferences, tillage schemes, rodent management, perceived need for surface wetting for germination, and installation draft requirements and costs.
The bacterial quality of an upland stream

Faecal coliform concentrations were determined at stream and water inflow sampling sites within an upland catchment in North Derbyshire containing rough, semi-improved and improved pastures. The results indicated that, during its passage through the catchment, the faecal indicators of the stream increased, and this may constitute a health risk to cavers using a popular recreational cave into which the stream drains. The decline in streamwater quality suggests that a semi-permanent store of bacteria existed in catchment soils, and hydrological processes operated to transfer bacteria from the land to the stream channel. Contrary to expectations, intra-catchment differences in the bacterial quality of water at inflow and stream sampling sites could not be related to the intensity of agricultural land use in adjacent areas. This is explained with reference to changes in the nature of hydrological transport pathways associated with the improvement of pastures.
On optimum interstage pressure for two-stage and mechanical-subcooling vapor-compression refrigeration cycles

The objective of the present study is to demonstrate that the optimum interstage pressure for a two-stage refrigeration system can be approximated by the saturation pressure corresponding to the arithmetic mean of the condensing and evaporating temperatures. It is also shown that the optimum performance of a refrigeration system with mechanical sub-cooling occurred when the subcooler compressor (saturation suction) temperature corresponds to the arithmetic mean of the condensing and evaporating temperatures.
Jigsaw dissection activity enhances student ability to relate morphology and ecology in aquatic insects

ABSTRACT Functional feeding guild classification of aquatic insects is partly based on mouthpart morphology, but the link between mouthpart morphology and ecological feeding roles is often missed by students in the classroom. We implemented a Jigsaw activity in a freshwater biology course to help students connect morphology and ecology. Paired students dissected two common (to the whole class) and one unique aquatic insect’s mouthparts and predicted their ecological feeding roles. Students then divided into new groups and taught peers about their unique insect. A pre- and post-activity survey measured students’ ability to relate morphology and feeding roles. Open-ended questions graded via a rubric showed students scored significantly higher and provided more answers discussing feeding roles. Likert-type questions probing students’ perceptions of mouthpart importance resulted in marginally higher importance ratings of mouthparts for identification but no differences for insect feeding. On an end-of-the-semester assessment, students generally rated the activity as helpful. Some reported the activity to be difficult due to small insect size. The activity enhanced students’ understanding of the link between mouthparts and feeding roles but may have decreased their engagement due to perceived difficulty. Further modification alleviating difficulty may improve student perceptions while retaining knowledge gains.
Parameterisation of fuel consumption and CO2 emissions of passenger cars and light commercial vehicles for modelling purposes

CO2 emissions of new passenger cars (PCs) registered in Europe are monitored in order to meet the objectives of Regulation EC 443/2009. This calls for an average CO2 emission of 130 g/km for new PCs registered in Europe to be met by vehicle measures in 2015. This decreases to 95 g/km in 2020. Similar regulations are gradually promoted for other vehicle categories as well, more prominently for light commercial vehicles (LCVs). CO2 emissions of new vehicle types are determined during the vehicle type-approval by testing over the New European Driving Cycle (NEDC). Worries have been expressed that this driving cycle is not representative of real-world driving conditions. It is considered that fuel consumption, and hence CO2 emissions (and air pollutant emissions), measured over this cycle under-represent reality. This report uses real-world information to compare in-use fuel consumption of PCs with type-approval CO2. The main objective was to develop functions that may enable prediction of in-use fuel consumption values, based on vehicle specifications. The functions can then be used in inventorying tools, such as COPERT and HBEFA, to correctly allocate fuel consumption to the different PC vehicle types. How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. LB -N A-2-927-E N -C
ISTITUTO NAZIONALE DI FISICA NUCLEARE (LNF) Laboratori Nazionali di Frascati Asymmetric Elastoplastic Behavior and Failure of GEM Foils

The nonlinear isotropic power hardening and the cohesive zone material (CZM) [1] criteria are applied in ANSYS R (cid:13) [2] ﬁnite element simulations to analyze very large deformations of the GEM foils up to the failure in uniaxial tensile tests. Some data available in literature concerning both the PI/Cu and the grain boundary interfaces are utilized. The computed progressive plasticization of the perforated thin multilayer agree very well with the experimental results published by some researchers [3–6]. However the present work provides a different explanation of that behavior (already suggested in an earlier note of the author [7]) and it should be considered as a critical review concerning the conclusions of the aforementioned works.
The investigation of insulation defects in transmission line disc insulators using remote detection techniques

This paper examines the possibility of remote detection of defective disc insulators on overhead transmission lines. Application of infrared thermal imaging systems is studied in relation to the very small temperature differentials between sound and faulty discs, and the many influencing factors that significantly reduce sensitivity. The application of corona detection techniques appears to present a complementary approach. The objective is to understand the mechanisms involved in order to develop more cost-effective diagnostic techniques for this class of equipment. <<ETX>>
The Structural Model of Appearance Management based on Body Image Dissatisfaction, External Shame, and Self-Compassion

This study aimed to present the structural model of appearance management based on self-compassion with the mediating roles of external shame and body image dissatisfaction. The method of the present study was correlation analysis based on structural equation modeling. The statistical population consisted of female students residing in the dormitory of Bu-Ali Sina University in Hamedan. Among them, 400 individuals were selected randomly. They filled out the Self-Compassion Scale (SCS), Others As Shamer Scale (OAS), Body Image Concern Inventory (BICI), and Body Management Scale (BMS). Since 23 individuals did not fill out the questionnaires, the 377 completed questionnaires were examined through structural equation analysis. The results of structural equations indicated that all of the direct and indirect relationships were significant; thus, all the variables had pairwise relationships. On the other hand, external shame had a significant mediating role in the relationship between self-compassion and appearance management (z = -3.32, p < 0.01). In other words, self-compassion, due to the mediation of external shame, can predict appearance management. In addition, body image dissatisfaction had a significant mediating role in the relationship between self-compassion and appearance management (z = -4.03, p < 0.01). Hence, self-compassion, due to the mediation of body image dissatisfaction, could predict appearance management. Following the results, it can be concluded that self-compassion, with the mediating roles of external shame and body image dissatisfaction, can predict appearance management. These variables can be considered to modify body management.
Clustering Bullying Behavior of Teenager Students Based on Social Competence and Social Preference

Citation: Korsavi SS, Sadoughi M. Clustering Bullying Behavior of Teenager Students based on Social Competence and Social Preference. Psychological Methods and Models. 2021; 11 (42): 114. Abstract Introduction: Bullying at school is an interpersonal type of violence which could have serious short-term and long-term consequences for both the bullying and the victimized students. The present study aimed to cluster the bullying and victimized students based on their social competence and social preference. Materials and Methods: This study was descriptive and exploratory Clustering. The statistical population included all 13-15 year old students in Kashan. Using cluster sampling, 414 students (202 females & 212 males) were chosen. The participants filled in Illinois Bullying Scale and Smart and Sanson Social Competence Questionnaire, The Warden and Mackinnon Social Behavior Questionnaire (SBQ), and Sociogram. Findings: The data were clustered using hierarchical method, showing four distinct clusters of students. The statistical and empirical validity of the data were confirmed: social preferred (35.99%), bullying (20.77%), social competent (26.81%), and victimized (16.42%). In addition, comparison of the clusters by considering gender, practical prosocial behavior, relational prosocial behavior, overt antisocial behavior, relational antisocial behavior, victimization showed that our clustering was sufficiently valid. The findings indicate that the bullying and victimized students have different behavior profiles with different characteristics. Conclusion: Cluster analysis could help identify these profiles and thereby be used as a basis for designing and taking necessary measures regarding the prevention and intervention of the bullying behavior and its consequences.
Computing Fast and Scalable Table Cartograms for Large Tables

Given an m × n table T of positive weights, and a rectangle R with an area equal to the sum of the weights, a table cartogram computes a partition of R into m × n convex quadrilateral faces such that each face has the same adjacencies as its corresponding cell in T , and has an area equal to the cell’s weight. In this thesis, we explored different table cartogram algorithms for a large table with thousands of cells and investigated the potential applications of large table cartograms. We implemented Evans et al.’s [40] table cartogram algorithm that guarantees zero area error and adapted a diffusion-based cartographic transformation approach, FastFlow [52], to produce large table cartograms. We introduced a constraint optimization based table cartogram generation technique, TCarto, leveraging the concept of force-directed layout. We implemented TCarto with column-based and quadtree-based parallelization to compute table cartograms for table with thousands of cells. We presented several potential applications of large table cartograms to create the diagrammatic representations in various real-life scenarios, e.g., for analyzing spatial correlations between geospatial variables, understanding clusters and densities in scatterplots, and creating visual effects in images (i.e., expanding illumination, mosaic art effect). We presented an empirical comparison among these three table cartogram techniques with two different real-life datasets: a meteorological weather dataset and a US State-to-State migration flow dataset. FastFlow and TCarto both performed well on the weather data table. However, for US State-to-State migration flow data, where the table contained many local optima with high value differences among adjacent cells, FastFlow generated concave quadrilateral faces. We also investigated some potential relationships among different measurement metrics such as cartographic error (accuracy), the average aspect ratio (the readability of the visualization), computational speed, and the grid size of the table. Furthermore, we augmented our proposed TCarto with angle constraint to enhance the readability of the visualization, conceding some cartographic error, and also inspected the potential relationship of the restricted angles with the accuracy and the readability of the visualization. In the output of the angle constrained TCarto algorithm on US State-to-State migration dataset, it was difficult to identify the rows and columns for a cell upto 20◦ angle constraint, but appeared to be identifiable for more than 40◦ angle constraint.
Realist Evaluation of the Early-Stage Implementation of a Smartphone-Based Disease Surveillance Project in Two Armed-Conflict Communities in Nigeria

We investigate the early-stage implementation of a smartphone-based acute flaccid paralysis (AFP) surveillance project in communities experiencing armed conflicts in Nigeria. We aim to expose factors influencing the early-stage implementation of smartphone-based AFP surveillance in two rural communities experiencing armed conflicts in Northern Nigeria. Thus, exploring “what works, for whom and under what contextual conditions? ” in the early-stage implementation of a smartphone-based AFP surveillance project, given the involvement of multiple stakeholders. We adopted stakeholder theory as a lens to guide the study. We adopted a qualitative case study method, realist philosophy, semi-structured interview, participatory observation, and thematic data analysis. The findings reveal mechanisms (sense of connectedness, ownership, fear) and contextual conditions (infrastructural challenges, healthcare workforce, security constraints) influencing early-stage implementation. We postulate a model that explains the factors influencing the early-stage implementation of the smartphone-based AFP surveillance project in security-constrained communities.
European Journal of Public Health Studies-ISSN 2668-1056

In the study, it was aimed to determine how the anthropometric structure and athletic performance elements of male basketball players changed in terms of age levels. The research group consists of male athletes between the ages of 8-13 who are licensed in the basketball. All athletes completed the anthropometric tests (stature, body weight, arm span, abdominal and triceps skinfold thickness and athletic performance tests (standing long jump, countermovement jump, maximum vertical jump, modified sit and reach, alternate wall toss, 20-m sprint and pro-agility). A significant difference was determined in the comparison of stature, body weight, arm span in terms of age groups in the research group. [respectively = F(3-72) = 71.954; 23.505; 63.109 p<0.05]. A significant difference was found between the vertical jump, hand-eye coordination, speed, anaerobic power performances of the participants in terms of age levels. [respectively= F(3-72) = 19.871; 22.939; 16.253; 37.579, p<0.05]. There was no significant difference between the groups in the flexibility variable in terms of age level (p>0.05). The significant difference between the age groups in terms of broad jump (x2(2) = 13.340), maximum vertical jump (x2(2) = 24.087) p<0.017) and agility x2(2) = 7.022, p<0.017) are due to the 8-9 age groups and the 12-13 age groups. In conclusion, the change in the anthropometric structures of basketball players such as stature, body weight, and arm span increases in proportion to the increase in age levels. In addition, it is seen that all athletic performance parameters, except flexibility, increase with the increase in age level. From this point of view, especially the trainers working in the infrastructure should design their training programs by taking into account the developmental characteristics of the athletes. i Correspondence: email ucanli@nku.edu. tr Umut Canli, Cuneyt Taskin, Umit Yuksel EXPLORING OF CHANGES OF ANTHROPOMETRIC STRUCTURES AND ATHLETIC PERFORMANCES OF 8-13 YEAR-OLD MALE BASKETBALL PLAYERS European Journal of Public Health Studies Volume 4 │ Issue 2 │ 2021 111