bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teachers’ RA 4670 awareness during the COVID-19 pandemic times
Authors: Alcoran-Alvarez Giselle Ann , Velez Maria Milagros C. , Tijing Christine Lorraine T. , Tapis Jr. Carlito A. , Basas James D. , Villegas Christian Edu B. 
Published: August 2022

This study investigated the public schoolteachers’ level of awareness of the Magna Carta for Public School Teachers (RA 4670). An online survey was administered to public schoolteachers from three congressional districts and data were treated using appropriate statistical tools. The results revealed the respondents’ high awareness on the observance of due process at each stage of any disciplinary procedure, gradual salary progression every 3 years and required information was given in case of transfer. However, they were less aware of the permanency status of non-eligible teachers after rendering 10 years of service with no probationary period for eligible teachers. Also, there was a significant difference between teachers from districts 2 and 3, with the latter having a higher level of awareness. Therefore, this study recommends intensified information dissemination of the Magna Carta for Teachers, and further study may examine the relationship between teachers’ experience and awareness level of the said law.

Keywords: Pandemic times, Magna Carta, RA 4670, ANOVA, awareness.
The problem of the development of emotional intelligence of future social educators
Authors: Nabi Gulzi , Abibulaeva Aizhan , Bulakbayeva Meiramkul , Zholzhaksynova Merey 
Published: August 2022

The purpose of this research is to evaluate the development problem of the emotional intelligence of future social educators in line with the views of future social educators. This research was designed in accordance with the qualitative research method. The study group of the research consisted of 40 pre-service teachers studying in the department of social studies teaching at a university in Almaty, Kazakhstan, in the 2021–2022 academic year. Research data were collected with a semi-structured interview form developed by the researchers. As a result of the research, it has been determined that the majority of teacher candidates have a medium level of emotional intelligence. The majority of teacher candidates show behaviours that show high emotional intelligence. They expressed it as knowing which emotions and why, understanding the emotions of the people around them, empathising with the people around them, being able to control their own emotions and expressing their own emotions only when they want. The pre-service teachers who participated in the research evaluated the barriers to the development of emotional intelligence in three categories: family barriers, personal barriers and environmental barriers. In line with the results of the research, the necessity of organising seminars that can be guided by emphasising the importance of emotional intelligence for future social educators has emerged.
Keywords: Emotional intelligence, development of emotional intelligence, future educators;
A blended learning approach for teaching computer science in high schools
Authors: Bedebayeva Maira , Grinshkun Vadim , Kadirbayeva Roza , Zhamalova Kamshat , Suleimenova Laura 
Published: August 2022

The purpose of this research is to determine the proficiency levels of teachers giving computer education in high schools regarding blended learning. In this study, the competencies of teachers who give computer education in high schools regarding blended learning were handled in accordance with the survey model, which is one of the quantitative research methods. The study group of the research consists of 345 computer teachers who teach in high schools in the city of Almaty, Kazakhstan in the 2021–2022 academic year. The data of the study were collected with the blended learning proficiency scale developed by the researchers. As a result of the research, it was seen that the teachers giving computer education in high schools were high in the motivation sub-dimension of blended learning and moderate in the application sub-dimension. It has been determined that the blended learning competencies of the teachers are at a moderate level throughout the scale. Teachers’ competencies in blended learning show a significant difference according to the gender variable. As a result of the research, it was determined that the blended learning competencies of female teachers were higher than male teachers. It was concluded that teachers’ blended learning competencies did not show a significant difference according to the seniority variable. In-service training courses should be organised to increase the blended learning competencies of teachers giving computer education in high schools.

Keywords: Blended learning, learning technologies, teacher competencies;
Penerapan Metode Mengajar Beregu (Team Teaching) dalam Meningkatkan Hasil Belajar Siswa Kelas IV pada Mata Pelajaran SKI di MI Muhammadiyah Ulak Lebar Kecamatan Ulu Ogan Kabupaten OKU
Authors: Yunita Inti , Maryamah Maryamah 
Published: August 2022

Skripsi ini membahas tentang Penerapan Metode Mengajar Beregu (Team Teaching) dalam Meningkatkan Hasil Belajar Siswa Kelas IV Pada Mata Pelajaran Sejarah Kebudayaan Islam di Madrasah Ibtidaiyah Muhammadiyah Ulak Lebar Kecamatan Ulu Ogan Kabupaten Ogan Komering Ulu. Alasan peneliti ingin membahas masalah ini karena penjelasan guru yang hanya menggunakan metode ceramah kurang mendapat perhatian dari siswa, pemahaman siswa dan hasil belajar siswa masih rendah. Adapun rumusan masalah dalam skripsi ini adalah 1. Bagaimana Hasil Belajar Siswa sebelum diterapkan metode Mengajar Beregu (Team Teaching) Kelas IV Pada Mata Pelajaran Sejarah Kebudayaan Islam di Madrasah Ibtidaiyah Muhammadiyah Ulak Lebar OKU? 2. Bagaimana hasil belajar setelah diterapkan metode Mengajar Beregu (Team Teaching) Pada Mata Sejarah Kebudayaan Islam kelas IV di Madrasah Ibtidaiyah Muhammadiyah Ulak Lebar OKU? 3. Bagaimana perbedaan Hasil Belajar siswa sebelum dan setelah diterapkan metode Mengajar Beregu (Team Teaching) Siswa Kelas IV Pada Mata Pelajaran Sejarah Kebudayaan Islam di Madrasah Ibtidaiyah Muhammadiyah Ulak Lebar Kecamatan OKU?Jenis penelitian dalam skripsi ini menggunakan pre eksperimental design. Dalam penelitian ini yang menjadi populasi adalah seluruh siswa MIM Ulak Lebar dan yang menjadi sampel adalah siswa kelas IV yang berjumlah 28 orang reponden. Alat pengumpulan datanya adalah observasi, wawancara, tes dan dokumentasi. Analisis data menggunakan tes ‘t’ atau uji ‘t’ rumus sampel kecil (N kurang dari 30) yang saling berhubungan.Berdasarkan hasil penelitian ini bahwa hasil belajar siswa mata pelajaran SKI sebelum menerapkan Metode Mengajar Beregu (Team Teaching) yang tergolong tinggi (baik) sebanyak 6 orang siswa (21,43 %), tergolong sedang sebanyak 16 orang siswa (57,14 %) dan yang tergolong rendah 6 orang siswa (21,43 %) dan hasil belajar mata pelajaran SKI setelah menerapkan Metode Mengajar Beregu (Team Teaching) yang tergolong tinggi (baik) sebanyak 8 orang siswa (28,57 %), tergolong sedang sebanyak 13 orang siswa (46,43 %) dan yang tergolong rendah 7 orang siswa (25 %).Hipotesis nihil yang diajukan ditolak karena besarnya “t” yang peneliti peroleh dalam perhitungan (to = 8,768) dan besarnya “t” yang tercantum pada Tabel Nilai t (tt.ts.5% = 2,05 dan tt.ts.1%= 2,77) maka dapat kita ketahui bahwa to adalah lebih besar daripada tt; yaitu: 2,05 < 8,768 > 2,77 berdasarkan uji coba tersebut secara meyakinkan dapat dikatakan metode beregu (team teaching) yang baru itu, telah menunjukkan efektifitasnya yang nyata; dalam arti kata: dapat diandalkan sebagai metode yang baik untuk mengajarkan bidang studi sejarah kebudayaan islam pada tingkat madrasah ibtidaiyah.
Anemia and Its Associated Factors among Final-Year Medical Students at Sana'a University, Yemen
Authors: Mogahid Y. Nassar  , Ahmed S. Hudna  , Fatima Abdurubbu  , Aisha Mohammed  , Ala'a Maresh  , Fatima Mohammed  , Hadeer Al-ariqi  , Reem Al-maqtari  , Narmeen Al-ariqi  , Wafa'a Al-hammadi  
Published: August 2022

Objective: To determine the prevalence of anemia and its associated risk factors among final-year medical students at Sana'a University, Yemen.
Methods: This cross-sectional study was conducted among 269 final year students randomly selected from the medical faculties of Sana'a University in the period from January to April 2018. Data were collected using a structured questionnaire, while venous blood samples were collected by venipuncture into EDTA tubes. Hemoglobin (Hb) concentration was estimated using an automated hematology analyzer in the Laboratory Department of the University of Science and Technology in Sana’a city. Data were analyzed using appropriate statistical tests, and statistical significance was considered at P-values <0.05.
Results: The mean Hb concentration of final-year medical students at Sana’a University was 15.1 ± 1.9 g/dL. The mean Hb concentration for male students was 16.3 ± 1.5 g/dL, while the mean Hb concentration for female students was 13.1 ± 1.5 g/dL. Anemia was prevalent among 12 (4.5%) out of 269 medical students and was significantly associated with the gender and smoking status of the students, where females (OR = 5.9, 95% CI: 1.8–27.4; P = 0.011) and smokers (OR = 6.3, 95% CI: 1.2–3.7; P = 0.002) were about six times more likely to be anemic compared to their counterparts. In contrast, there was no statistically significant association between anemia and age, family size, family income, presence of chronic disease(s), khat chewing, exercise, or history of blood transfusion.
Conclusions: The prevalence of anemia among final-year medical students at Sana'a University is low compared to other studies elsewhere. The female gender and smoking are the risk factors significantly associated with anemia among medical students. Further large-scale studies among medical and non-medical students from different levels of study at public and private universities of the country are recommended.
How a Point-of-Care Dashboard Facilitates Co-production of Health Care and Health for and with Individuals with Psychotic Disorders: A Mixed-methods Case Study
Authors: Gremyr Andreas , Holmberg Christopher , Thor Johan , Malm Ulf , Gäre Boel Andersson , Andersson Ann-Christine 
Published: August 2022

Abstract

Background:Individuals with psychotic disorders experience widespread treatment failures and risk early death. Sweden’s largest department specializing in psychotic disorders sought to improve patients’ health by developing a point-of-care dashboard to support joint planning and co-production of care. The dashboard was tested for 18 months and included more than 400 patients at two outpatient clinics. Methods:This study evaluates the dashboard by addressing two questions:1) Can differences in health-related outcome measures be attributed to the use of the dashboard?2) How did case managers experience the accessibility, use, and usefulness of the dashboard for co-producing care with individuals with psychotic disorders?This mixed-method case study used both Patient-Reported Outcome Measures (PROM) and data from a focus group interview with case managers. Data collection and analysis were framed by the Clinical Adoption Meta Model (CAMM) phases: i) accessibility, ii) system use, iii) behavior, and iv) clinical outcomes. The PROM used was the 12-item World Health Organization Disability Assessment Schedule (WHODAS 2.0), which assesses functional impairment and disability. Patients at clinics using the dashboard were matched with patients at clinics not using the dashboard. PROM data were compared using non-parametric statistics due to skewness in distribution. The focus group included five case managers who had experience using the dashboard with patients.Results:Compared to patients from clinics that did not use the dashboard, patients from clinics that did use the dashboard improved significantly overall (p=0.045) and in the domain self-care (p=0.041). Focus group participants reported that the dashboard supported data feedback-informed care and a proactive stance related to changes in patients’ health. The dashboard helped users identify critical changes and enabled joint planning and evaluation.Conclusion:Dashboard use was related to better patient health (WHODAS scores) when compared with matched patients from clinics that did not use the dashboard. In addition, case managers had a positive experiencing using the dashboard. Dashboard use might have lowered the risk for missing critical changes in patients' health while increasing the ability to proactively address needs. Future studies should investigate how to enhance patient co-production through use of supportive technologies.
The white star apple (Chrysophyllum albidum G. Don), a revealed potential pan tropical forest food species in the context of climate and global changes
Authors: GANGLO Jean Cossi 
Published: August 2022

Abstract
Chrysophyllum albidum is a forest food tree species of the Sapotaceae family bearing large berries of nutrition, sanitary, and commercial values in many African countries. It naturally grows in lowland rain forest and is widely distributed in West, Central, and East Africa. Because of its socio-economic importance, C. albidum is threatened at least by human pressure. However, we do neither know at which extent climate change can impact its distribution, nor whether it is possible to introduce the species in other tropical regions. In order to resolve our concerns we decided to model the spatial distribution of the species. We then used the SDM package for data modelling in R to compare predictive performances of algorithms among the most common used: three machine learning algorithms (MaxEnt, Boosted Regression Trees, and Random Forests) and three regression algorithms (Generalized Linear Model, Generalized Additive Models, and Multivariate Adaptive Regression Spline). We performed model transfers in tropical Asia and Latin America. At the scale of Africa, predictions with respect to Maxent, under Africlim (scenarios rcp 4.5 and rcp 8.5, horizon 2055) and MIROCES2L (scenarios SSP245 and SSP585, horizon 2060) showed that the favorable areas of C. albidum will extend mostly in West, East, Central, and Southern Africa as well as in East Madagascar. As opposed to Maxent, in Africa, the predictions of BRT and RF were unrealistic with respect to the known ecology of C. albidum. All the algorithms were consistent in predicting a successful introduction of C. albidum in Latin America, both at present and in the future. Predictions of spatial distribution of C. albidum at present and in future under MIROCES2L, scenarios SSP245 and SSP585, horizon 2060 were coherent and even complementary between BRT and RF and showed that the species can be successfully introduced in tropical Asia.
Montana flume aeration performance evaluation with machine learning models
Authors: Tiwari Ashwini , Ojha C.S.P. , Tiwari N.K. , Ranjan Subodh 
Published: August 2022

Abstract
Montana flume is derived from Parshall flume by eliminating diverging part and throat. The mass transfer of oxygen from the atmosphere into the water is known as aeration. The dissolved oxygen (D.O.) concentration present in the water body determines water quality. The experiment was performed on six different Montana flumes fixed in a tilting prismatic rectangular channel. Experimental observations were used to develop classical and machine learning models to predict Montana flume aeration efficiency. The developed models are namely multi non-linear regression (MNLR), adaptive neuro-fuzzy inference system (ANFIS), and artificial neural network (ANN). The models were tested, and the results show that all these three developed models perform very well. However, ANN gives better results than other models as it has the highest cc and lowest rmse values. According to the sensitivity analysis results, the Reynolds number (Re) was the most crucial input element in determining the aeration efficiency of the Montana flume in the case of dimensionless datasets. However, discharge per unit width (q) is found to be of relative significance in the case of dimensional datasets.
A flexible compartment model for simulation specific to COVID-19
Authors: Ohmori Hiroo 
Published: August 2022

Abstract
The dynamic relation among ‘Susceptible’, ‘Infected’, ‘Removed (Recovered)’, ‘Death’ and others for COVID-19 disease is a kind of multibody problem. It has been simulated mainly by compartment models, of which the representative is the SIR model. For the SIR model, ‘Infected’ infects ‘Susceptible’ through the recovery period, and ‘Infected’ is removed as ‘Removed’ not only from the disease but also from the community after the recovery period is ended. For COVID-19, however, the infected individuals should be isolated from the community when they become symptomatic after the latent period is ended. Thus, the infected individuals do not infect susceptible individuals in the community after the latent period, even during the recovery period. Additionally, the infection has occurred in the community even during the latent period before the infected individuals are isolated due to being symptomatic. These two facts for COVID-19 suggest that the simulation by the SIR model would be less accurate in calculating the number of infected individuals and that the results might mislead political and medical interventions. For the model proposed here, the infected individuals are isolated from the community when they become symptomatic after the latent period is ended, but the recovered individuals who have medically recovered and have immunity return to the community, and the infection occurs even during the latent period. The model shows remarkably different results from those simulated by the SIR model. The model also provides the processes evaluating the political and social countermeasures against COVID-19.
Empirical Analysis of Normal Selenium Level in Taiwanese
Authors: Chien Du-Shieng , Chao Ting-Yu , Chen Yen-Ling , Chu Yi-Wen 
Published: August 2022

Abstract
Selenium (Se) is an essential micromineral that is incorporated into the active center of selenoproteins which play important roles in immune regulation, thyroid function, antioxidant defense, and glucose homeostasis. Se deficiency is commonly observed in patients of chronic illness, cancer, and severe trauma; Se supplementation to this group has been shown to provide clinical benefits including reduced mortality rates and better prognosis. However, there is a lack of consensus to determine Se adequacy and deficiency in terms of health and disease in the context of the local Taiwanese population. To obtain the normal Se range of the general adult Taiwanese by which to assess an individual’s Se status, studies reporting on plasma and serum Se values in Taiwanese adults from databases and available data from government-accredited clinical laboratories were gathered. After assessment for suitability against predefined criteria including sample size, subject characteristics, method of Se measurement, Se levels, and year of publication, six sources were included for subsequent mathematical calculations. The combined mean Se levels from a total of 5,508 subjects were 182.8 ± 124.3 µg/L. The range was estimated to be 58–307 µg/L, and Se levels between 100–270 µg/L were considered the normal range in Taiwanese adults, whereas Se levels < 100 µg/L were suggestive of deficiency and Se supplementation was recommended.
Riemannian Complex Fuzzy Sets with Applications in Signals
Authors: Zeeshan Muhammad , Khan Madad 
Published: August 2022

Abstract
The objective of this paper is to introduce the innovative concept of Riemannian complex fuzzy sets (RCFSs). We discussed some new operations and laws of a RCFS such as Riemannian complex fuzzy union, intersection, complement, disjunctive sum, simple difference, bounded difference, simple product, Cartesian product, probabilistic sum, bold sum, convex linear sum, relations, and distance functions. We studied the basic results and particular examples of these operations. We used RCFSs in signals and systems because its behavior is similar to a Fourier transform in certain cases. Moreover, we develop a new algorithm using RCFSs for applications in signals and systems by which we identify a reference signal out of large input signals detected by a system. We restricted the amplitude of the inverse discrete Fourier transform for incoming signals and a reference signal. Thus, a method for measuring the resembling values of two signals is provided by which we can identify the reference signal.
Greater extreme precipitation from Borneo Vortices in a warmer climate
Authors: Liang Ju , Catto Jennifer , Hawcroft Matthew , Tan Mou Leong , Hodges Kevin , Haywood Jim 
Published: August 2022

Abstract
Borneo Vortices (BVs) are weather systems that are responsible for devastating hydrological extreme events and significant losses of life and property in Southeast Asia. The typical resolution of most current climate models is insufficient to resolve these high-impact, synoptic-scale weather systems. Here, an ensemble of high-resolution models projects that future BVs may become less frequent and more stationary, driven by the northward shift of the winter monsoon steering flow and associated cold surges across the South China Sea. However, substantial increases in both the intensity and the total amount of precipitation from BVs are projected. Such changes are driven by the more humid and convectively unstable lower troposphere. As a result, the contribution of BVs to the accumulation of both total precipitation and extreme precipitation is projected to increase considerably in the vicinity of the southern South China Sea, making individual BVs more threatening to the adjacent coastal regions.
Identification of novel B cell epitopes in Fiber-2 protein of the duck adenovirus 3 and their application
Authors: Lin Yun , Zhang Wenyuan , Xie Jing , Wang Weikang , Xie Quan , Li Tuofan , Shao Hongxia , Qin Aijian , Wan Zhimin , Ye Jianqiang 
Published: August 2022

Abstract
Duck adenovirus 3 (DAdV-3), a newly emerged duck adenovirus, has resulted in significant economic losses to the duck industry across China since 2014. However, little is known about the B cell epitopes in major antigen of DAdV-3 and the serological approach for detection of DAdV-3 is not available. In this study, four monoclonal antibodies (mAbs) specific to Fiber-2 protein of DAdV-3 were firstly generated and designated as 2G10, 3D9, 5E6, and 6B12. Indirect immunofluorescence assay (IFA) showed that all of the mAbs reacted with the Fiber-2. Moreover, mAbs 2G10, 5E6, and 6B12 demonstrated good activity with Fiber-2 in Western blot. Notably, the Fiber-2 could be immunoprecipitated efficiently by mAb 3D9. Epitope mapping revealed that mAbs 2G10, 3D9, 5E6, and 6B12 recognized 397-429aa, 463-481aa, 67-99aa, and 1-66aa of Fiber-2, respectively. Besides, a novel sandwich ELISA for efficient detection of DAdV-3 was developed based on mAb 3D9 and HRP conjugated mAb 3D9. The sandwich ELISA only reacted with DAdV-3 but not with other duck-associated viruses. The limit of detection of the ELISA was 6.25×103 TCID50/mL. Overall, the mAbs generated laid the foundation for elucidating the critical role of Fiber-2 in mediating infection and pathogenesis, and the sandwich ELISA approach established provided efficient and rapid serological diagnostic tool for DAdV-3.