Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the Factors Influencing the Mobile Learning Usage During COVID-19 Pandemic: An Integrated SEM-ANN Method

The way in which the emotion of fear affects the technology adoption of students and teachers amid the COVID-19 pandemic is examined in this study. Mobile Learning (ML) has been used in the study as an educational social platform at both public and private higher-education institutes. The key hypotheses of this study are based on how COVID-19 has influenced the incorporation of mobile learning (ML) as the pandemic brings about an increase in different kinds of fear. The major kinds of fear that students and teachers/instructors are facing at this time include: fear because of complete lockdown, fear of experiencing education collapse and fear of having to give up social relationships. The proposed model was evaluated by developing a questionnaire survey which was distributed among 280 students at Zayed University, on the Abu Dhabi Campus, in the United Arab Emirates (UAE) with the purpose of collecting data from them. This study uses a new hybrid analysis approach that combines SEM and deep learning-based artificial neural networks (ANN). The importance-performance map analysis is also used in this study to determine the significance and performance of every factor. Both ANN and IPMA research showed that Attitude (ATD) are the most important predictor of intention to use mobile learning. According to the empirical findings, perceived ease of use, perceived usefulness, satisfaction, attitude, perceived behavioral control, and subjective norm played a strongly significant role justified the continuous Mobile Learning usage. It was found that perceived fear and expectation confirmation were significant factors in predicting intention to use mobile learning. Our study showed that the use of mobile learning (ML) in the field of education, amid the coronavirus pandemic, offered a potential outcome for teaching and learning; however, this impact may be reduced by the fear of losing friends, a stressful family environment and fear of future results in school. Therefore, during the pandemic, it is important to examine students appropriately so as to enable them to handle the situation emotionally. The proposed model has theoretically given enough details as to what influences the intention to use ML from the viewpoint of internet service variables on an individual basis. In practice, the findings would allow higher education decision formers and experts to decide which factors should be prioritized over others and plan their policies appropriately. This study examines the competence of the deep ANN model in deciding non-linear relationships among the variables in the theoretical model, methodologically.
Low-temperature heat capacity of pentlandite

Abstract The heat capacity of synthetic pentlandite Fe4.60Ni4. 54S8 was measured over the temperature range 6-306 K. Experimental values of CP (T) indicate that there are no phase transitions. The thermodynamic functions CP (T), H(T) - H(0), and S(T) - S(0) were evaluated: CP (298.15) = 442.7 J/mol·K, S(298.15) - S(0) = 474.9 J/mol·K, and H(298.15) - H(0) = 76280 J/mol (molar mass: 779.877 g). Below 10 K, the heat capacity of pentlandite fits the regression CP(T) = a T + b T3. The linear term is typical of metals and known as an electronic contribution to the heat capacity. This agrees with the hypothesis that there is metal bonding among cations in tetrahedral sites.
An 84.48 Gb/s CMOS D-band Multi-Channel TX System-in-Package

This paper presents an in-package D-band wireless module co-integrating an innovative channel bonding transmitter IC in 45 nm CMOS PDSOI technology and a patch antenna fabricated using a low-cost printed circuit board process. The transmitter is composed of two up-conversion chains with dedicated millimeter-wave local oscillator generators and operates over contiguous sub-bands around 147.96 GHz. The two sub-band signals are combined off-chip using a substrate integrated waveguide diplexer and radiated by a four-patch antenna array realized on the same laminate substrate. The total output band spans from 139.3 to 156.6 GHz. A data rate of 84.48 Gb/s is demonstrated using 64-QAM. The radiated power is 3.8 dBm at the output 1 dB compression point. The chip consumes 600 mW from a 1-V voltage supply and occupies a compact area of 4.8mm2.
Generalized Predictive PI Controller: Analysis and Design for Time Delay Systems

Many industrial processes can be approximated by low order plus dead-time models. In this work we propose a novel Generalized Predictive PI (GPPI) controller to achieve fast over-damped responses for systems with long dominant dead-times. The already established Predictive PI (PPI) control strategy has demonstrated to exceed the traditional PID controllers when they are applied to systems with long dominant dead-time, but the PPI structure limits the closed loop design options, thus also limiting the achievable performance. Here we analyze the design of the proposed GPPI controller versus the PPI and PI controllers to achieve fast over-damped responses. An expression for the achievable performance in terms of the Integral Absolute Error (IAE) is obtained for the GPPI controller and used to compare with the other controllers. Tuning rules are also proposed and simulation examples provided to offer some additional insight into the use of the GPPI controller.
Estimation Of The Effect Of Dispersion On The Communication Range In A Wireless Underwater Optical Channel

The article discusses approaches to modeling effect of dispersion in underwater optical wireless communication channels. Underwater optical wireless communication systems have become an alternative to traditional acoustic underwater systems. Most of the work on modeling an underwater optical communication channel takes into account attenuation and scattering when calculating the allowable communication range, however, dispersion remains an important factor affecting the communication range in the system. The article presents a mathematical model for assessing the chromatic dispersion in the optical communication channel, as well as the group delay time. The simulation results for a horizontal communication channel are presented.
Encoding Complexity Analysis and Reduction for a Practically-Oriented VVC Encoder Implementation

The latest international Versatile Video Coding (VVC) standard was finalized in July 2020 by the Joint Video Experts Team (JVET) from ITU-T and ISO/IEC. Compared to the High Efficiency Video Coding (HEVC) standard, VVC offers up to 50% of bitrate savings. However, the encoder runtime of the reference software increases tenfold compared to the HEVC equivalent. This paper shows that VVC coding tools which do not consume much of the reference encoder time can have prohibitive computational cost for practical encoders, such as VVenC. VVenC is an optimized open-source real-world implementation with high relevance for practical applications. After analyzing the encoding tools in VTM and VVenC, Symmetric Motion Vector Difference (SMVD) was identified as one of the tools whose efficiency-complexity trade-off may be unfavorable for practical applications. For that reason, two complexity reduction methods for the SMVD search are proposed in this paper. The experimental evaluation on VVenC encoder at an optimized operation point confirms the SMVD encoding runtime reduction by over 72%, with minimal impact on the encoding efficiency.
SPECIFIC QUALITIES FOR THE ENTREPRENEURIAL SUCCESS OF INDONESIAN STUDENTS: THE UNIQUENESS OF THE QUALIFICATIONS THAT DETERMINE STUDENT ENTREPRENEURIAL SUCCESS AS FUTURE ENTREPRENEURS

Purpose: The aim of the study, which continues with the preparation of this paper, is to examine the criteria and qualifications needed by Indonesian students to become successful entrepreneurs in the future by using data from students of a private university in Jakarta, Indonesia Design/Methodology/Approach: Using a survey method of 129 respondents with data analyzed the Kruskal-Wallis H test as a rank-based nonparametric to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. Findings: The study results show that although there is entrepreneurial intention among respondents, the female respondent shows a higher entrepreneurial intention. Besides, the sensitive characteristics of respondents show the lowest percentage compared to the determinants of the characteristics of entrepreneurial success. And only father's occupation factor has the same effect on the twelve determinants of entrepreneurial success, while gender factors and desire to start a business show different impacts in terms of characteristics of determination and persistence, creativity and ability and honesty. Research Limitations/Implications: Although this research may have limited sampling and also that the suitability of the model is limited to one private university in Jakarta, Indonesia, the resulting estimation model is quite reasonable and has the potential to be continued in the form of further studies with a wider number of respondents and variables. Originality/Value: The main contribution of this research is to supply a framework to examine factors that reflect the special qualities of being a successful entrepreneur as a result of relevant literature studies and then compare it with surveys conducted on students as prospective Journal of Entrepreneurship Education Volume 24, Special Issue 1, 2021 Entrepreneurial Learning and Education 2 1528-2651-24-S1-683 Citation Information: Setiadi, N.J., Sutanto, H. , & Surienty, L. (2021). Specific qualities for the entrepreneurial success of indonesian students: The uniqueness of the qualifications that determine student entrepreneurial success as future entrepreneurs. Journal of Entrepreneurship Education, 24(S1). entrepreneurs in the future. Therefore, this study provides a thorough and detailed analysis to understand one of the determinants of success in becoming an entrepreneur.
COVID-19-related payment moratoria and public guarantees for loans – stocktaking and outlook

From March 2020 onward, measures aimed at mitigating the impact of the COVID-19 pandemic on banks and their customers were adopted in Austria, which included payment moratoria and public guarantees for loans. Data reported by banks to the Oesterreichische Nationalbank allow for an analysis of the utilization, expiry and residual maturities of these measures on the basis of consolidated quarterly data covering the period from June 2020 to December 2020 and provide input for a first assessment of financial stability implications. The bulk of payment deferrals has expired by the end of the first quarter of 2021. Starting from a level of nonperforming loans (NPLs) well below the European average, Austrian banks are well prepared for potential deteriorations in credit quality, having increased their capital buffers in the aftermath of the 2007–2008 financial crisis, and having implemented measures to address future increases in NPLs. In 2020, Austrian banks proactively started to reclassify loans according to IFRS 9, which resulted in an increase of risk provisioning to address potential defaults. This frontloading should help reduce the burden on banks’ 2021 balance sheets. We observe a first slight uptick in NPL ratios at the end of 2020 in the nonfinancial corporate loan segment, which at the same time still showed dynamic credit growth. To assess the impact of potential defaults and their implications for financial stability, we analyze the impact of a severe hypothetical scenario. If half of the loans subject to COVID-19related support measures (i.e. loans to households and nonfinancial corporations) were to default, the overall NPL ratio would increase to 5.8%, up from 2% as at December 2020. While severe, such a hypothetical scenario would still be manageable for the Austrian banking sector. We do not take into account structural changes in the economy, however, that might be triggered by the pandemic. Given the payment deferrals, the impacts of the COVID-19 pandemic on credit quality will be reflected in banks’ balance sheets with a time lag. While having already established risk provisions in 2020, banks will need to be prepared to handle a potential deterioration in credit quality in 2021 and later on. It therefore remains paramount for banks to monitor the credit quality of their portfolios in order to avoid any cliff effects once all support measures expire. To maintain financial stability in the banking sector in an environment of ongoing uncertainty, two things continue to be very important: proper risk provisioning at an early stage as well as acting in a forward-looking manner regarding the allocation of profits.
Molecular subtypes of breast cancer in women ≤35 years and >35 years: Does age matter?

Background: Women diagnosed with breast cancer at young ages (≤35 years) have a substantially shorter overall survival durations. According to molecular pathological classification, triple negative and human epidermal growth factor receptor 2 (HER-2) positive breast cancer subgroups are related with poorer prognosis compared to luminal disease. Based on this rational, the primary objective was to evaluate the impact of age on determining molecular subgroups and whether the different outcomes of patients ≤35 years and >35 years of age are caused by the diversity of molecular subgroups. Methods: A total of 216 patients ≤35 years and randomly selected 212 patients of all breast cancer patients >35 years, presented to Ege University Department of Oncology were enrolled in the study. Molecular subtyping was based on estrogen, progesterone receptors (ER, PR), cerb-B2 and Ki-67 proliferation index assessed by immunohistochemistry. Luminal A disease was defined as ER (+), PR (+), cerb-B2 (-), Ki-67 ≤15. Patients with ER/PR (+), cerb-B2 (-)/(+), Ki-67 ≥15 were classified as Luminal B. If all three receptors were negative, it was accepted as triple negative disease and HER-2 positive disease was characterized by lack of hormone receptors and presence of cerb-B2. Results: Fifty-two percent in younger group were Luminal B and 19% were triple negative, which composed the largest proportion of the young group. Among the >35 years group the majority was Luminal B (39%) as similar in very young population, however, this was followed by Luminal A (31%) that has favorable prognostic features. Statistically, there was no significant difference in molecular subtypes between the two age groups. However, triple negative subtype and Ki-67 ≥15% which is associated with poorer prognosis, was numerically higher among ≤35 years of group. Conclusion: Young women diagnosed with breast cancer have poorer prognosis. However, in our study, there was no statistically significant difference in molecular subtypes between two diverse age groups. This could be explained by small size of the study population, but also could be an indication that age is an independent prognostic factor apart from other clinicopathologic features. Yet, since Luminal B and triple negatives were the largest subgroup in very young population, worse prognosis of the disease in this group may be explained by this diversion.
Is Application of Salt for 3 Days Locally is Sufficient to Treat Umbilical Granuloma?

Background: The falling of Umbilical stump occurs by 7-15 days of age. The healing of umbilical stump may be complicated by Umbilical Granuloma. It is often treated by chemical cauterisation which require repeated applications and may lead to local or systemic complications. Common salt by way of its dessicative property may help in treatment of Umbilical Granuloma. Objective: The objective of the study is to assess the role of common salt application in umbilical granuloma. Materials and Methods: This is retrospective study over 3 years from a pediatric surgery unit in Northern India. The study subjects were infants less than 10 weeks of age who presented with umbilical granuloma. The method of salt application was 1 pinch of common salt for 1 hour twice a day for 3 consecutive days. The babies were assessed at day 5th for resolution. The success was defined as thrice resolution after 3 cycles. The baseline demographic details were taken and the association of success of treatment was analyzed. Results: A total of 36 infants were given treatment in form of common salt application for treatment of umbilical granuloma. The success of around 96% and the cases which presented early responded well. Most of the cases resolved after 3 cycles of treatment. Conclusion: The common salt application is effective in treatment of granuloma without any side effects.
Applicability of the Revised Trauma Score in Paediatric Patients Admitted to a South African Intensive Care Unit: A Retrospective Cohort Study

Context: Revised Trauma Score (RTS) is a validated tool in assessing patients in a pre-hospital setting. There are limited data describing its potential use in guiding referral to intensive care. Aims: Trauma scoring systems require appropriate validation in a local setting before effective application. This work examines the applicability of RTS to a paediatric intensive care trauma population. Settings and Design: A retrospective record review of trauma patients admitted to the paediatric intensive care unit at Chris Hani Baragwanath Academic Hospital between 2011 and 2013 was performed. Subjects and Methods: The cohort was arbitrarily split into three subgroups based on RTS using the 33rd and 66th percentile values and groups compared. Outcome measures examined included mortality, age, gender, length of stay (LoS), duration of ventilation (DoV) and change in Glasgow Coma Scale (GCS) from admission to discharge. Statistical Analysis Used: Categorical values examined with Fisher's exact test. Non-categorical values examined with the Kruskal–Wallis and Dunn's multiple comparisons tests. Results: Of 919 children admitted, 165 admissions were secondary to trauma. Data necessary for calculation of RTS were available in 91 patients. The mean RTS was 5.3, 33rd percentile was 4.7 and 66th was 5.9. DoV (P = 0.0104) and LoS (P = 0.0395) were significantly different between intermediate- and low-risk groups as was change in GCS between low-risk and both other groups (P < 0.0001). Conclusions: RTS is not predictive of mortality between high-risk (RTS < 4.09) and low-risk patients (RTS > 5.67) in this population. It may be useful in predicting other outcomes such as DoV and LoS.
Emotional Intelligence and Quality of Nursing Care: A Need for Continuous Professional Development

Background: Emotional Intelligence (EI) is necessary for personal and professional success. This study aimed to determine the relationship between EI and quality of nursing care from the viewpoint of nurses and patients. Materials and Methods: This descriptive correlational study was conducted using convenience sampling to select the patients (n = 300) and census sampling to select the nurses (n = 100) at Amir Alam Hospital in Tabriz, Iran, in 2018. The data collection tools were the Quality Patient Care Scale (QUALPAC) and EI test by Bradberry-Greaves. Data analysis was performed in SPSS Version 20, using t-test, ANOVA, Chi-square, Pearson's correlation test, and multivariate analysis. Results: The mean (SD) score of EI was 91.17 (12.33) in nurses, and the mean (SD) score of nursing care quality was 184.01 (37.41) and 202.22 (22.30) from the viewpoint of patients and nurses, respectively. There was no significant difference between the two viewpoints (p = 0.652). However, there was a significant correlation between the nurses' EI and quality of nursing care (r = 1.00, p < 0.001). The educational level was the strongest predictor of increase in nursing care quality from the patients' viewpoint, according to the multivariate analysis (β = −0.27, p < 0.001). Conclusions: EI positively affects the quality of nursing care and its dimensions. Therefore, it is recommended that nursing policymakers consider educational programs to strengthen the nurses' EI and enhance the quality of nursing care. Patients, similar to nurses, can be proper indicators of the quality of nursing care; accordingly, simultaneous use of these indicators is suggested.
Determinants of COVID-19 vaccine acceptance and encountered side-effects among the vaccinated in Bangladesh

Objective: To identify the acceptance of the vaccine based on factors influencing the vaccination program and the side effects from vaccinated people. Methods: A cross-sectional online survey of 1 529 Bangladeshi adults (≥18 years) was conducted between 17 April, 2021 and 26 April, 2021. Statistical analysis of the data included Chi-square test and multinomial logistic regression analysis. Results: In total, 67.04% of the participants were willing to accept a COVID-19 vaccine, and 45.00% of them in our study had already received. Overall Bangladeshi people were more likely to accept COVID-19 vaccine if the vaccine reduces risk of infectious disease and has no associated health risk after receiving it. Among the respondents, religions, education level, living area (urban), belif that vaccines protect against infectious diseases and vaccines do not have health-related risk and vaccination was significantly associated with the acceptance of COVID-19 vaccines. Conversely, people’s perception on development of natural immunity rather than receiving vaccines was also positively reflected. More than half (57.41%) reported minor side effects such as fever, muscle pain and headache after getting vaccine shots. Conclusions: This study revealed that the acceptance rate was influenced by socio-demographic and health-related characteristics and people are not afraid of this vaccine if they faced minor side effects after receiving it. These findings might help the government and policymakers of Bangladesh to implement necessary steps to accomplish this vaccination program effectively.
The prevalence of depression, anxiety, and stress among nurses during the coronavirus disease 2019: A comparison between nurses in the frontline and the second line of care delivery

Background: The coronavirus disease 2019 (COVID-19) can significantly affect mental health among healthcare providers, particularly nurses in the frontline (FL) and the second line (SL) of care delivery to afflicted patients. Objective: This study aimed at evaluating the prevalence of depression, anxiety, and stress among FL and SL nurses during the COVID-19 pandemic. Methods: This cross-sectional descriptive-analytical study was conducted in June–September 2020. Participants were 146 FL nurses and 206 SL nurses who were in direct contact with COVID-19 patients in two hospitals in Sirjan, Iran. They were recruited to the study through a census. Data were collected using a demographic questionnaire and the 21-item Depression Anxiety Stress Scale. Data analysis was done through the Shapiro-Wilk, Chi-square, Mann-Whitney U, and independent-sample t tests. Results: The mean scores of depression, anxiety, and stress were, respectively, 15.87 ± 4.32, 8.35 ± 4.74, and 13.4 ± 4.39 among FL nurses and 9.91 ± 5.96, 6.91 ± 5.48, and 7.38 ± 3.95 among SL nurses. The between-group differences regarding these mean scores were statistically significant (P < 0.001). Conclusion: Depression, anxiety, and stress are highly prevalent among both FL and SL nurses who provide care to patients with COVID-19. Psychological support and education about stress management strategies for nurses can help them manage their depression, anxiety, and stress.