Miracle-dz/UniFAR-FTUs huggingface dataset:
A Modified Open-Ended Rectangular Waveguide Based Reflection Approach for Dielectric Constant Characterization of Low-Loss Slab Materials

A reflection approach utilizing an open-ended rectangular waveguide (ORW) for dielectric constant characterization of low-loss slab materials is presented. A calibration technique is proposed to reduce the effects of the higher order mode fields in dominant-mode analysis. In addition, the effects of undesired reflections caused by the finite-sized flange are also reduced in the extraction of the dielectric constant. Moreover, a small perturbation is introduced in the calculation of the reflection coefficient to eliminate the singularities as well. The dielectric constant of material under test (MUT) is extracted utilizing the measured reflection coefficient by assuming that the loss tangent of MUT is zero. Simulation results are presented to validate the calibration process. The selection of suitable airgap thickness and the effects of lossy MUT are also discussed. The measured dielectric constants of MUT made of polymethyl methacrylate (PMMA) and polytetrafluoroethylene (PTFE) are presented as well, which agrees excellently with the results achieved from the free-space method.
Recurrent massive pulmonary embolism following catheter directed thrombolysis in a 21-year-old with COVID-19: a case report

Abstract Background Coronavirus Disease-2019 (COVID-19) has been associated with increased incidence of pulmonary embolism (PE), even among patients at low risk for venous thrombo-embolic (VTE) events. Case summary We present the case of a 21-year-old male, with no previous medical history, who presented with cough, fevers, shortness of breath, pleuritic chest pain, and 1 day of dizziness with near syncope as well as acutely worsened dyspnoea. He was subsequently diagnosed with COVID-19 and massive PE. He underwent successful catheter-directed thrombolysis (CDT), and his clinical status improved. One day following initial CDT, he developed acute respiratory failure and hypotension and was diagnosed with recurrent massive PE. He was treated with repeat CDT and extracorporeal membrane oxygenation (ECMO) to provide time for right ventricular recovery. The patient was able to be weaned off ECMO after 9 days and was eventually extubated and discharged to an acute rehabilitation facility. Discussion Beyond COVID-19, no hypercoagulable risk factors were identified despite thorough investigation. This case highlights the thrombogenic potential and morbid sequelae of SARS-CoV-2 infection, even in young patients. It also highlights the use of CDT and ECMO among patients with massive PE and COVID-19. To date, this is the youngest reported patient to develop massive PE in the setting of COVID-19.
Determination of Affecting Factors on Profitability of Banking Sector: An Examination upon the Turkish Banking Sector for the Period of 2006-2018

Although net profit of Turkish Banking Sector (TBS) has reached TL 54.1 billion in 2018, the profitability of TBS has been decreasing. Return on assets of TBS has decreased from 2.3% in 2006 to 1.4% in 2018. Similarly, return of equity of TBS has decreased from 18.8% in 2006 to 10.50% in 2018. This figures verify the decreasing trend in profitability. This trend presents risks for limiting of providing credits of banks. Therefore, the level of profitability of TBS has importance. Affecting factors on profitability should be detected first in order to keep profitability stable. In this context, Multivariate Adaptive Regression Splines (MARS) method, 11 explanatory variables, and quarterly data are used between 2006 and 2018. It is determined that net profits, credits, capital, nonperforming loans (NPL)/total credits, total assets, and USD/TL foreign exchange rate (FER) affect the profitability of banking sector in Turkey. Necessary measures should be taken by regulatory authorities to keep net profit stable and increase the profitability of the sector from the current level. Hence, banks could have the opportunity to provide much more credits for financing and supporting economic growth.
Nutritional plans of net energy with a constant calorie:nutrient ratio on the performance of piglets from 7 to 30 kg

ABSTRACT This study was conducted to evaluate different nutritional plans of net energy (NE) with a constant calorie:nutrient ratio on the performance of piglets from 7 to 30 kg. Sixty barrows with an initial weight of 7.11±0.89 kg were distributed among five nutritional plans: two NE-decreasing plans (A and B, starting from NE concentrations of 2.47 and 2.52 Mcal kg−1, respectively, and ending both at 2.37 Mcal kg−1) and three NE-constant plans (C, 2.37 Mcal kg−1; D, 2.42 Mcal kg−1; [. ]
The effect of financial literacy and gender on retirement planning among young adults

PurposeThe purpose of this paper is to analyze financial literacy's effect on retirement planning among young adults in Mexico, with gender as a moderator variable. Planning refers to the actual or intended implementation of several retirement strategies: private pension funds, investing in assets, government subsidies and family assistance.Design/methodology/approachThe article's methodology is quantitative, empirical and cross-sectional. Ajzen's theory of planned behavior (1991) works as the theoretical framework to examine planning for retirement intentions determined by individuals' financial inclusion, attitudes, knowledge, behavior, occupation and family traits. The methodology follows generalized structural equation models (GSEM) with logistic regression basis, constructed with data from the National Survey on Financial Inclusion 2018.FindingsResults confirm that the most financially knowledgeable individuals have lesser intentions to pursue passive strategies, while financial behavior and inclusion associate with actively planning. Gender plays a fundamental role in retirement planning too.Research limitations/implicationsObservations for several years are necessary to effectuate longitudinal analysis. Further research should include a more in-depth study of strategy choice triggers and policy impact on retirement planning.Social implicationsFindings can be useful to public and private institutions focused on saving, investment and retirement, especially in economies comparable to Mexico's. Avoiding the higher social costs associated with poor retirement planning depends on timely decision-making.Originality/valueThis study goes beyond the traditional pension fund strategy to analyze other options. It delivers information about young people's long-term financial plans in Mexico concerning financial literacy and gender.
The Co-Created Classroom: Enhancing Students’ Professional Identity through a Teaching Apprentice Assignment

Abstract Professional identity development of students is an often discussed but never resolved issue in higher education. To facilitate a shift toward developing students’ professional identity, we propose a pedagogical model where students are tasked with developing and providing instruction to their classmates during a 75-minute teaching session. Students work collaboratively with the instructor to design and implement class sessions, enhancing involvement and engagement with the material. Through the assignment, students receive extensive coaching, are empowered to make decisions, and collect peer feedback from their classmates. In this article, we offer anecdotal evidence which suggests that the inclusion of a co-created classroom assignment in college courses may support students’ professional identity development while deepening all students’ understanding of course content.
The Effect of Political Relation on Firm Value at Manufacturing Companies

This research aims to determine the effect of political relation on the firm value at basic chemical manufacturing companies listed on the Indonesia Stock Exchange. The reason for using chemical and basic industry sectors is it has a growth of high stock price. The type of this research is an explanatory quantitative research. Data collected based on annual reports from 68 manufacturing companies in the chemical industry and basic sectors in Indonesia during the period 20142017. The total sample in this research was 251 companies. Political relations are measured by using Dummy variable and companies’ value measured by using Tobins' q. This study used multiple linear regression analysis technique. The results of this research show that political relations have a positive effect on firm value and also indicate that companies whose have the political relations get facilities access from the government, so it can be used to achieve company goals, which is increasing companies’ value. The limitation of this research is the companies’ annual report only describe relations from direct political relations. Therefore, indirect relationships such as friendship and family cannot be identified. Suggestions for further research related to political relations on firm value is to replace Dummy variable measurement with ratio data.
Results of the ADIUVO Study, the First Randomized Trial on Adjuvant Mitotane in Adrenocortical Carcinoma Patients

Abstract Background: The ESE-ENSAT guidelines on the management of adrenocortical carcinoma (ACC) suggest adjuvant mitotane for patients at high risk of recurrence following radical surgery. This indication has a limited evidence base, lacking results from randomized controlled trials. No suggestion for or against adjuvant mitotane in low-risk patients was given, since studies did not stratify patients for prognosis. The randomized controlled study ADIUVO compared the efficacy of adjuvant mitotane treatment vs. observation in prolonging recurrence-free survival (RFS) in ACC patients at low-intermediate risk of recurrence. Methods: The main inclusion criteria were: stage I-III ACC, R0 surgery, and Ki-67 ≤10%. Patients were randomly assigned 1:1 to adjuvant mitotane (MIT) or observation (OBS). The primary endpoint of the study was RFS. Patients who refused randomization were offered inclusion in the ADIUVO OBSERVATIONAL study. In this prospective, observational study, patients were managed as in the ADIUVO study. A total of 91 patients were enrolled in ADIUVO, 45 in the MIT and 46 in the OBS arm. Baseline characteristics of patients were perfectly matched between the 2 arms: median age, 51 vs. 50.5 years; female, 73% vs. 67%; stage I, 20% vs. 26%; stage II, 67% vs. 63%, stage III, 13% vs. 11%; ACC secretion 44% vs. 36%; Weiss 5 vs. 5; respectively. In ADIUVO OBSERVATIONAL, 42 patients were treated with mitotane and 53 were untreated. Baseline characteristics of patients were matched between the 2 groups and with MIT and OBS groups in ADIUVO. Thus, the ADIUVO OBSERVATIONAL cohorts could be analyzed in parallel to those of ADIUVO. Results: In the ADIUVO study, recurrences were 8 in the MIT and 11 in the OBS arm, while deaths were 2 and 5, respectively. RFS and overall survival (OS) did not significantly differ between the 2 arms. Tumor size was a predictor of RFS in multivariable analysis. In the OBS arm, the HR for recurrence was 1.321 (95%CI, 0.55–3.32, p=0.54) and HR for death 2.171 (95%CI, 0.52–12.12, p=0.29). The survival analysis in the ADIUVO OBSERVATIONAL study confirmed the findings of ADIUVO. Given the outcome of both studies, the NNT is 55. Conclusions: ACC patients at low-intermediate risk of recurrence after surgery are a minority; however, they show a far better prognosis than expected (5-year RFS is about 75%) and do not benefit significantly from adjuvant mitotane. The results of the ADIUVO study do not support routine use of adjuvant mitotane in this subset of patients, who may thus avoid a potentially toxic treatment. This is an important step toward personalization of ACC care.
Impact and Efficiency Ranking of Football Managers in the Italian Serie A: Sport and Financial Performance

The contribution of managers to the performance of football teams in the Italian Serie A is investigated. Previous results are extended by analyzing two measures of performance: the awarded points from winning matches (sport performance) and the growth of the market value of players (financial performance). Several empirical methods are employed: OLS regressions, Shorrocks-Shapley decompositions of R-squared and Data Envelopment Analysis. Our findings suggest that managers exert a significant influence on both sport and financial performances with differences between top and worst coaches. However, most of the observable characteristics in a manager’s curriculum are not significantly related to team performance.
Mixed Convection of Hybrid Nanofluid in an Inclined Enclosure with a Circular Center Heater under Inclined Magnetic Field

The hybrid nanofluids have efficient thermal networking due to the trade-off between the pros and cons of the more than one type of suspension. In the current study, water-based hybrid nanofluid is used to investigate mixed convection in a squared enclosure heated with a circular center heater. The cavity is placed inclined under the uniform inclined magnetic field. The squared cavity comprises of two adiabatic vertical walls and two cold horizontal walls. The governing equations are normalized using a suitable set of variables and are solved with the finite element method. A comparison is provided with previously reported results at limiting case. The grid independence is examined for the Nusselt number at the central heater. The analysis reveals the effective role of the concentration of hybrid nanofluid particles in enhancing the heat spread. The results indicate that adding 2% concentration of Ag-MgO hybrid nanoparticles causes an 18.3% uprise in the Nusselt number at the central heater. The heat transfer rate enhances for increasing Hartmann number between 0 and 10 but decreases over 10. For better heat transfer augmentation, a heater with a smaller radius is recommended for the free convection. In contrast, a heater with a larger radius serves the purpose in case of forced convection.
Multi‐satellite autonomous orbit determination by game‐theoretic optimization in space service volume

Global navigation satellite systems (GNSSs) are increasingly used for multi-satellite missions in space service volume (SSV). However, the performance of GNSS-based autonomous orbit determination (AOD) for SSV users is severely constrained by limited measurement accuracy and signal availability. Relative measurement and orbital dynamic models can be used to improve the AOD performance when the estimator is prone to divergence due to the cross-correlation of the distributed formation network. In this paper, a sequential game-theoretic (SGT) optimization algorithm is proposed to deal with cross-correlation issues when fusing the GNSS and relative measurements for dynamic AOD in the SSV field. A four geostationary Earth orbit satellite mission is simulated as the case study for the AOD performance analysis. The conventional sequential covariance intersection (SCI) is also presented for comparison purposes. The simulation results show that with the combination of GNSS and relative measurements with 10 m and 0.1 m precision, the SGT-based AOD can achieve about 1.9 m three-dimensional positioning accuracy, which is 80% better than in the GNSS-only case. It is also demonstrated
A Chance Constrained Programming Approach for No-Wait Flow Shop Scheduling Problem under the Interval-Valued Fuzzy Processing Time

This work focuses on the study of robust no-wait flow shop scheduling problem (R-NWFSP) under the interval-valued fuzzy processing time, which aims to minimize the makespan within an upper bound on total completion time. As the uncertainty of actual job processing times may cause significant differences in processing costs, a R-NWFSP model whose objective function involves interval-valued fuzzy sets (IVFSs) is proposed, and an improved SAA is designed for its efficient solution. Firstly, based on the credibility measure, chance constrained programming (CCP) is utilized to make the deterministic transformation of constraints. The uncertain NWFSP is transformed into an equivalent deterministic linear programming model. Then, in order to tackle the deterministic model efficiently, a simulated annealing algorithm (SAA) is specially designed. A powerful neighborhood search method and new acceptance criterion are applied to find better solutions. Numerical computations demonstrate the high efficiency of the SAA. In addition, a sensitivity analysis convincingly shows that the applicability of the proposed model and its solution strategy under interval-valued fuzzy sets.
The Effects of the Civility, Respect, and Engagement in the Workplace (CREW) Program on Social Climate and Work Engagement in a Psychiatric Ward in Japan: A Pilot Study

Background: Good social climate and high work engagement are important factors affecting outcomes in healthcare settings. This study observed the effects of a program called Civility, Respect, and Engagement in the Workplace (CREW) on social climate and staff work engagement in a psychiatric ward of a Japanese hospital. Methods: The program comprised 18 sessions installed over six months, with each session lasting 30-min. Participation in the program was recommended to all staff members at the ward, including nurses, medical doctors, and others, but it was not mandatory. A serial cross-sectional study collected data at four time-points. Nurses (n = 17 to 22), medical doctors (n = 9 to 13), and others (n = 6 to 10) participated in each survey. The analysis of variance was used to evaluate the changes in the following dependent variables, the Essen climate evaluation schema (EssenCES), the CREW civility scale, and the Utrecht work engagement scale (UWES) over time. Result: We found no significant effects. The effect size (Cohen’s d) for EssenCES was 0.35 from baseline to post-installation for all staff members. Effect sizes for EssenCES for medical doctors and UWES for nurses were 0.79 and 0.56, respectively, from baseline to post-program. Conclusions: Differences in social climate and work engagement among Japanese healthcare workers between the baseline and post-installation of the CREW program were non-significant.
Effect of Productive Capacities on Economic Resilience in Developing Countries

The COVID-19 outbreak and its economic, social and financial fallouts have generated a renewed interest in finding adequate policies and means to strengthen economic resilience to future shocks, particularly in developing countries. The latter are usually disproportionately affected by adverse shocks (compared to developed countries) and lack the adequate resources to weather these shocks. Strengthening economic resilience is now at the heart of the policy discussion both at the national and international levels. The present paper aims to contribute to this debate by investigating the effect of productive capacities on economic resilience in a panel dataset of 118 developing countries over the period 2000-2018. It constructs a regression-based economic resilience indicator, and makes use of the indicator of productive capacities recently developed by the UNCTAD. Results are quite interesting, including from a policy perspective. The development of productive capacities is associated with greater economic resilience. This is particularly the case for countries with greater trade openness, greater capital account openness, and those that promote a stable macroeconomic environment. Interestingly, development aid appears to matter for the effect of productive capacities on economic resilience. On the one hand, the magnitude of the positive economic resilience effect of productive capacities increases as countries receive higher Aid for Trade (AfT) flows. On the other hand, NonAfT flows (i.e., other development aid flows that AfT flows) hinder the possible positive contribution of productive capacities to economic resilience. These findings have important policy implications that are discussed in the paper.
Intention to Use IoT by Aged Indian Consumers

ABSTRACT This study identifies the determinants which impact the intention to use the Internet of Things (IoT) enabled devices by the aged consumers of India for household purposes. With the help of the Model of Adoption of Technology in Households (MATH), a conceptual model has been developed. The model has been extended by considering two moderators (age and gender). It has been ascertained that the explanative power of the model after consideration of two moderators has been enhanced. Ten constructs of MATH have been considered which were found relevant to this study. The validation of the greater explainability by including two moderators in this modified MATH is considered as a theoretical contribution of this study. This study provides insight to the policy makers to understand how the aged consumers of India can be motivated to use IoT-enabled devices for their household purposes that would eventually improve their quality of life.
A Discrete Small-Step Synthesis Real-Time Simulation Method for Power Converters

The <italic>L</italic>/<italic>C</italic>-based fixed-admittance model (<italic>L</italic>/<italic>C</italic> model) is usually used in the real-time simulation for power electronic converters. However, the <italic>L</italic>/<italic>C</italic> switch model suffers from the problems of virtual power loss and complicated optimal parameter settings. This article proposes a small-step synthesis real-time simulation method suitable for power electronic converters. By modeling the power electronic converter with a small (nanosecond) time-step and simulating with a normal (microsecond) time-step, the issue of virtual power loss of the <italic>L</italic>/<italic>C</italic> model caused by the transient process after the switching action is solved. The real-time simulation experiments with different type converters based on one set of simulation parameters are carried out on field-programmable gate array separately to verify the insensitivity to converter topologies. Furthermore, the real-time simulation results of the small-step synthesis method using the <italic>L</italic>/<italic>C</italic> model are compared with those of the traditional electromagnetic transient program (EMTP) method using the <italic>L</italic>/<italic>C</italic> model and the <italic>R</italic><sub>on</sub>/<italic>R</italic><sub>off</sub> model. The simulation results provide verification of the effectiveness of the small-step synthesis method as well as the insensitivity to carrier frequencies, and <italic>L</italic>/<italic>C</italic> model parameters.
Helping preschoolers learn math: The impact of emphasizing the patterns in objects and numbers.

Preschoolers’ repeating patterning knowledge is predictive of their concurrent and later math and numeracy knowledge, but strong experimental evidence is needed to determine if these relations are causal. The purpose of the current study was to examine the causal effects of repeating patterning and numeracy tutoring on repeating patterning, numeracy, and general mathematics knowledge in the year prior to kindergarten (i.e., preK). Children in preK (N = 211) were randomly assigned to receive 5 sessions of researcher-delivered tutoring (a) on repeating patterns and numeracy or (b) on numeracy (and literacy as an active control), or received no tutoring and business as usual classroom instruction (control). Children who received tutoring in repeating patterning and numeracy improved in their repeating patterning knowledge the most. However, children’s general math and numeracy knowledge improved similarly across conditions, and a specific aspect of numeracy emphasized during the tutoring did not improve. Children’s repeating patterning knowledge is malleable, but this initial attempt to demonstrate causal links between repeating patterning and math knowledge was not successful. Results parallel mixed success in research training other skills, such as working memory or spatial skills, for improving mathematics knowledge. Findings are discussed in terms of the relations between patterning, numeracy, and general math knowledge in preschoolers.