bluuebunny/crossref_metadata_2025 huggingface dataset:
A robust gap-filling approach for ESA CCI soil moisture by integrating satellite observations, model-driven knowledge and spatiotemporal machine learning
Authors: Liu Kai , Li Xueke , Wang Shudong , Zhang Hongyan
Published: March 2022

Abstract. Soil moisture (SM) is a critical component of the water cycle and a key ecological process connecting the soil-vegetation-atmosphere system. Spatiotemporally continuous SM is increasingly demanded for ecological and hydrological research fields. Satellite remote sensing has opened opportunities for mapping SM. Nevertheless, the continuity of SM imagery is hampered by data gaps resulting from inadequate satellite coverage and radio frequency interference. In light of this, we propose a new gap-filling approach to reconstruct daily SM time series using the European Space Agency’s Climate Change Initiative (ESA CCI). The developed approach integrates satellite observations, model-driven knowledge and machine learning algorithm that leverages both spatial and temporal domains. Taking SM in China as an example, we show high accuracy of the reconstructed SM when validated with multiple sets of in situ measurements, with a root mean square error (RMSE) and mean absolute error (MAE) of 0.09–0.14 and 0.07–0.13 cm3/cm3, respectively. Further evaluation with a 10 fold cross validation reveals a median value of the coefficient of determination (R2), RMSE, and MAE of 0.56, 0.025 cm3/cm3 and 0.019 cm3/cm3, respectively. The reconstructive performance is noticeably reduced when excluding an explanatory variable while the rest remains unchanged, as well as when removing the spatiotemporal domain strategy and the residual calibration procedure, respectively. Compared to that using satellite-derived diurnal temperature range (DTR), reconstructed SMs using bias-corrected model-derived DTRs exhibit acceptable accuracies and higher spatial coverage. Applying our gap-filling approach to long-term SM data sets (2005–2015), we show a promising result with a R2 of 0.72. A more accurate trend is achieved relative to that of the original CCI SM when assessed with in situ measurements (0.45 versus 0.23 in terms of R2). Our findings indicate the feasibility of integrating satellite observations, model-driven knowledge, and spatiotemporal machine learning for filling gaps in SM time series over short and long time scales, providing a potential avenue for applications to similar studies.
Strengthening interdisciplinary water research – learnings from sports team management
Authors: Taka Maija , Eeva Katri , Törnroos Maria , Varis Olli
Published: March 2022

Abstract. Well-functioning teams with clear roles and advanced processes have a high potential to initiate peer learning and thus interdisciplinary collaboration. The need for interdisciplinary excellence is a modern-day phenomenon that characterizes all research, including water research. In this paper, we argue that by focusing on developing team culture and practices, a research group enhances their peer learning and psychological safety within and beyond the group. We approach this issue by summarizing the key findings from a five-year team development project in water research, where the data collection focused on co-creation practices, active reflection, and journey mapping methods. These findings were described through a sports team framework and presented through Tuckman’s team development model to capture the whole life cycle of a team. We present a collection of hands-on team practices that improved team performance and psychological safety by enhancing peer learning and utilizing the diverse competence of individuals. A diverse team with a hybrid hierarchy, transparent communication, and co-designed collaboration practices turned out to be important to strengthen commitment, belongingness, and psychological safety. These were critical especially for doctoral students who were actively supported and encouraged for risk-taking and innovative, interdisciplinary research openings in water research. We conclude that coordinating research group activities that promote collaboration, diversity, and psychological safety can efficiently leverage interdisciplinary academic and educational performance.
Contribution of solitons to enhanced rogue wave occurrence in shallow water: a case study in the southern North Sea
Authors: Teutsch Ina , Brühl Markus , Weisse Ralf , Wahls Sander
Published: March 2022

Abstract. The shallow waters off the coast of Norderney in the southern North Sea are characterised by a higher frequency of rogue wave occurrences than expected according to second-order theory. The role of nonlinear processes for the generation of rogue waves at this location is currently unclear. Within the framework of the Korteweg–de Vries (KdV) equation, we investigated the discrete soliton spectra of measured time series at Norderney to determine differences between time series with and without rogue waves. For this purpose, we applied a nonlinear Fourier transform for the Korteweg–de Vries equation with vanishing boundary conditions (vKdV-NLFT). For each time series containing a rogue wave, we were able to identify at least one soliton in the discrete nonlinear vKdV-NLFT spectrum that contributed to the occurrence of the rogue wave in that time series. The amplitudes of these solitons were generally found to be smaller than the crest height of the corresponding rogue wave and interaction with the continuous wave spectrum is needed to fully explain the observed rogue wave. Time series with and without rogue waves showed different characteristic soliton spectra. In most of the spectra calculated from rogue wave time series, most of the solitons clustered around similar heights, while the largest soliton was outstanding with an amplitude significantly larger than all other solitons. The presence of a clearly outstanding soliton in the spectrum was found to be an indicator pointing towards enhanced probability for detecting a rogue wave in the time series. Similarly, when the discrete spectrum appears as a cluster of solitons without the presence of a clearly outstanding soliton, the presence of a rogue wave in the observed time series is unlikely. Under the hypothesis that the KdV describes the evolution of the sea state around the measurement site well, these results suggest that solitons and nonlinear processes substantially contribute to the enhanced occurrence of rogue waves off Norderney.
Attending to Students’ Reasoning About Probability Concepts for Building Statistical Literacy
Authors:   North Carolina State University, Sanei Hamid , Lee Hollylynne
Published: March 2022

This paper investigates two specific probabilistic biases which middle graders usually exhibit when reasoning about probability and randomness on assessment items. We discuss how students' reasoning about key probability concepts undergirds statistics literacy related to randomness, independence, and the likelihood of future events based on past results. We examine factors evoking misconceptions and students’ (in)consistency in exhibiting them. Findings indicate that misconceptions can be evoked based on three types of factors including (1) students’ particular understandings of probability and randomness, (2) general item characteristics, and (3) aspects of probability in items. Moreover, possession of a specific misconception will most likely result in exhibiting the bias again on other occasions including the same evoking factors (consistency).
modal – Insights into an Interdiciplinary Data Literacy Project with a Practical Approach
Authors:   Mannheim University of Applied Sciences, Weissker Natalia , Kauz Leonie ,   Mannheim University of Applied Sciences
Published: March 2022

One of the main missions of higher education is to prepare students for an increasingly digitalised future. This requires classic and digital competencies – the “Future Skills”. “Mannheimer Model Data Literacy Education” (modal) is an interdisciplinary learning and teaching project at the Mannheim UAS, in which Bachelor’s students of every faculty can train digital competencies. The following article introduces into the lecture series unimodal1 and the data project bimodal2. Both programmes encourage the training of Data Literacy, a model of competencies with a similar approach to Statistical Literacy and related terms. This involves participation in the “Skill Week”, a workshop series that includes entry-level modules in statistics, data analytics, and visualisation. Both programmes follow a modal Data Literacy framework comprising five competency fields. Through self-assessment, the participants were asked to judge their own development in each competency after the modal programme.
Relationship Between In-Service Mathematics Teachers’ Motivational and Emotional Orientations and Knowledge in Statistics
Authors:   Technical University of Munich, Scheuerer Sarah , Reinhold Frank ,   Freiburg University of Education, Reiss Kristina ,   Technical University of Munich
Published: March 2022

Teachers’ professional competence is understood to include both cognitive and affective aspects. In the field of statistics, however, studies that address the relationship between in-service teachers’ orientations (affective aspect) and their knowledge (cognitive aspect) are scarce, and studies with prospective teachers yielded contradictory results in this regard. Accordingly, we surveyed 88 in-service mathematics teachers about their motivational and emotional orientations regarding teaching statistics, tested their basic statistical knowledge, and used linear mixed-effects models to analyze the relationship between orientations and knowledge. The results indicated that teachers with high self-efficacy showed higher statistical knowledge than less self-effective teachers, and that anxious women performed better than less anxious female teachers. This demonstrates the close relationship between the cognitive and affective aspects of in-service statistics teachers. Therefore, in order to develop professionally competent teachers, it seems worthwhile to address teachers’ fears and to strengthen their self-efficacy already during their teacher training in statistics.
Training graduate students to teach statistics and data science from a distance
Authors:   Department of Statistics, University of California, Irvine USA, Rummerfield Wendy , Ricci Federica Zoe , Dogucu Mine
Published: March 2022

Enrollment in undergraduate statistics and data science courses has rapidly increased in just the last decade, resulting in an increased reliance on graduate teaching assistants (GTAs) and graduate instructors of record (GRIs). In the age of the COVID-19 pandemic, teaching from a distance has become a necessity. Many instructors, including GTAs and GRIs, need to adapt to new technologies and reconsider pedagogical decisions. This paper presents our experiences from a graduate teaching fellowship program created because of the pandemic. The program had two major components: 1) pedagogical workshops attended by teaching fellows from multiple disciplines across the university and 2) one-on-one mentoring by a faculty member from the fellow’s primary discipline. Here, we provide a unique look at graduate training from both the perspective of the mentor and the mentee. We share a sample training curriculum and propose recommendations for those interested in implementing teaching training opportunities for graduate students.
Enhancing data literacy at an early stage: Primary school pupils’ precursor ideas of covariation
Authors:   University College of Teacher Education, Tyrol, Andre Martin , Frischemeier Daniel ,   WWU Münster, Schneider Christoph ,   University College of Teacher Education, Tyrol
Published: March 2022

Covariational reasoning can already be enhanced in primary school. Anyway, given that pupils do not know conventional notations like coordinate systems in the first grades, addressing ideas of covariation is a challenging task. In our study, we show that 1st graders’ (6-7 years) ideas of covariation already exist in a precursor way and can be addressed by specific tasks based on data from Gapminder’s photo database Dollar Street. Using a design-based research approach, we developed and implemented semi-digital learning trajectories to enhance pupils’ data literacy at a very early stage. Interactions between young learners are observed to gain insights (a) into their covariational thinking when working on these specific tasks and (b) for iteratively re-designing the learning trajectories. Our observations define an early starting point for learning processes of covariational reasoning and the learning trajectories give opportunities to address issues of sustainable development.
Just Simulate It! Introducing Computing Through Simulation Studies in a Second Statistics Course
Authors:   Creighton University, Schwab-McCoy Aimee
Published: March 2022

Introductory data science courses provide students with a computational foundation beyond traditional introductory courses. Even in the intro stats course, many students are using R to support their coursework rather than applet or “point-and-click” software systems. Introducing computation earlier in the statistics and data science curriculum enables students to work deeper and sooner with real data sets. Changes in early statistics and data science education have a ripple effect across the curriculum. As the introductory courses are modernized, the later courses must change too. The class described in this paper is a second-semester statistical modeling course with a modern, post-data science flair. Regression models are introduced separately (multiple regression, Poisson regression, logistic regression) before being generalized as the generalized linear model (GLM). In this class, learners studied the patterns and behaviors of these models through targeted labs leaning heavily on simulated data. This course emphasizes the development of statistical intuition through hands-on learning experiences, rather than a set of rules for each situation.
Statistical education and official statistics - training future data scientists
Authors:   The University of Auckland, New Zealand, Puloka Malia S , Budgett Stephanie , Pfannkuch Maxine
Published: March 2022

EMOS (The European Master in Official Statistics) was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. In this paper we address the need for training in Official Statistics, particularly in current times, where new skill sets and competencies are necessary. In particular, the needs for new data sources currently used by national statistical systems require the development of new methodologies. For that purpose, we do a matching between National Statistical Offices (NSO) needs and the offer from universities.
The search for validity evidence for instruments in statistics education: preliminary findings
Authors:   Mount Saint Vincent University, Whitaker Douglas , Bolch Charlotte ,   Midwestern University, Harrell-Williams Leigh ,   University of Memphis, Casey Stephanie ,   Eastern Michigan University, Huggins-Manley Corinne ,   University of Florida, Engledowl Christopher ,   New Mexico State University, Tjoe Hartono ,   Pennsylvania State University
Published: March 2022

Interpreting results from instruments requires appropriate validity evidence. However, evolution in the fields of educational measurement and statistics education means that the validity evidence supporting instruments is often narrowly focused. For the Validity Evidence for Measurement in Mathematics Education project, we are systematically documenting validity evidence for instruments used to measure constructs in statistics education (such as knowledge and attitudes) for students and instructors. The researchers identified instruments measuring statistics-specific constructs, where and how these instruments were used, and validity evidence supporting their use. A structured literature review approach was used to identify instruments developed since 2000 and studies that used them or contained relevant validity evidence. Validity evidence for each instrument was documented using a standardized system. Preliminary information about the instruments identified, the frequency of their published use, and the amount of published work containing validity evidence will be presented.
Risk comprehension of COVID-19 statistics: Antecedents and Effects on Behavior
Authors:   University of Florence (Italy), Primi Caterina , Sanson Francesco ,   University of Florence (Italy), Beccari Carola ,   University of Florence (Italy), Donati Maria Anna ,   University of Florence (Italy)
Published: March 2022

Since individual differences in both probabilistic reasoning and reflective ability seem to be linked to propensity for critical thinking, we predicted that people with high probabilistic and reflective ability would tend to better understand COVID-19 statistics. We also predicted that people more interested in statistics would be more correct in risk comprehension, which, in turn, would mediate the relationship between probabilistic reasoning ability, reflective ability, interest in statistics and not precautionary behaviors. Participants were 193 Psychology students enrolled in an undergraduate introductory statistics course at the University of Florence and they completed an online survey during the lockdown (March 2020). The hypothesized model showed a good fit and all coefficients were statistically significant and in the expected directions. This study shows the importance of statistical literacy for increasing support to fight the coronavirus, through the comprehension of information about COVID-19 data and risks.
How Do Families Live around the World? Lessons Learned from a Statistical Literacy Intervention Based on the “Dollar Street” Project in Undergraduate-Level Statistics and Economics Courses
Authors:   University of Connecticut, Bojinova Emma , Karkelanova Anushka ,   University of Kentucky
Published: March 2022

This study is based on a statistical literacy intervention in two different undergraduate courses at two US public universities based on the “Dollar Street” Project of the Gapminder Foundation. The goal of this innovative intervention was to expose students to real-world data and teach them how to apply their knowledge of statistics to conduct research, produce a professionally written report, and tell a meaningful story based on data. Students found this project relevant and reported an improved ability to analyze real-world data using statistical methods. Given the importance of understanding statistical concepts and the growing interest in data science in our fast-changing world, this study can be used as an example of how college courses can provide hands-on activities to increase students’ statistical literacy, develop their analytical skills, and create knowledgeable and data-driven members of our society.
Statistical education and official statistics - training future data scientists
Authors:   University of Porto, Faculty of Economics, R. Dr. Roberto Frias, Porto, Portugal, Silva Maria Eduarda , Campos Pedro ,   Statistics Portugal, Av. António José de Almeida, 1, Lisboa, Portugal
Published: March 2022

EMOS (The European Master in Official Statistics) was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. In this paper we address the need for training in Official Statistics, particularly in current times, where new skill sets and competencies are necessary. In particular, the needs for new data sources currently used by national statistical systems require the development of new methodologies. For that purpose, we do a matching between National Statistical Offices (NSO) needs and the offer from universities.
Draw (Causal) Conclusions from Data – Some Evidence
Authors:   FOM University of Applied Sciences, Essen, Germany, Lübke Karsten , Krol Bianca ,   FOM University of Applied Sciences, Essen, Germany, Sülzenbrück Sandra ,   FOM University of Applied Sciences, Essen, Germany
Published: March 2022

To be data literate, one should be able to draw conclusions from multivariable observational data. But this is tricky. E.g., to investigate the gender pay gap, it must be decided whether the effect should be calculated adjusted or unadjusted for job. The correct conclusion depends on the qualitative assumptions about the data generating process. To investigate the conclusions drawn by students, a randomized experiment is conducted. The same data is presented in two different contexts with (possible) different structural causal models so once the adjusted and once the unadjusted effect might be appropriate. Also it is varied whether a directed acyclic graph is presented before or after the data table with the estimated effect. Results indicates that conclusions drawn from the same data differ by context but may also be inconsistent to the assumed data generating process.
Assessment Question Type in a Statistics Course for Non Majors: Analysis of Students’ Preference
Authors:   Redeemer’s University, Ede, Osun state, Nigeria, Okewole Dorcas Modupe , Olubusoye Olusanya Elisa ,   University of Ibadan, Oyo state, Nigeria
Published: March 2022

This study involves the analysis of students’ preference on the Assessment Question Type (AQT) in an applied statistics course for non majors. Developing interest in a statistics course may be greatly influenced by performance in statistics courses taken earlier or expectations on the one being considered. It is important that assessment of the students’ performance in the course be through a valid evaluation tool which includes appropriate question type. Students’ AQT preference information was obtained using an instrument designed for the purpose and was shown to vary mostly between multiple choice and essay questions. Proportion of scores from multiple choice questions in the final examination was modeled with beta regression. Students’ level of understanding of the course (as judged by the total score in the examination) was shown to influence proportion of marks from the two AQT employed. Implications of the results were discussed.
Saudação ao Honorário Nacional Professor Luiz Augusto de Freitas Pinheiro Academia Nacional de Medicina, em 21 de outubro de 2021
Authors: Rosa Santos Omar
Published: March 2022

Foi no tempo do circo! Graduava-se a turma de 1961 da Faculdade Fluminense de Medicina quando as labaredas causaram a catástrofe. Os graduados saíram direto da cerimônia da Formatura para atender às centenas de queimados. Logo a sociedade médica de Niterói exigiu a reabertura do Hospital Antonio Pedro que se encontrava presa de uma greve lorpa... Os estudantes cariocas acorreram em bom número no socorro de pacientes; entre eles este, então terceiro-anista verde. Também o Honorário que a Academia hoje incorpora e que era quarto-anista.
التغير الثقافي والاجتماعي وعلاقته بالتفكك الأسري (دراسة ميدانية على عينة من الأسر بمدينة مكة المكرمة)
Authors:   ماجستير التوجيه والإصلاح الأسري، كلية الآداب والعلوم الإنسانية، جامعة الملك عبد العزيز، المملكة العربية السعودية, الثبيتي وليد عبد الرزاق
Published: March 2022

هدفت هذه الدراسة إلى التعرف على التغير الثقافي والاجتماعي وعلاقته بالتفكك الأسري في المجتمع السعودي، ولتحقيق هذه الأهداف تم استخدام المنهج الوصفي التحليلي، ويتمثل التساؤل الرئيسي لهذه الدراسة فيما علاقة التغير الثقافي والاجتماعي بالتفكك الأسري في المجتمع السعودي؟ وتم تصميم استبيان وزع على عينة من الأسر بمدينة مكة المكرمة بلغت (100) أسرة، وتم التوصل إلى عدد من النتائج أهمها: المقاومة لعناصر الثقافة المعاصرة يتسبب في تفكك الأسرة، انتشار أنماط الاتصال الحديثة يضعف الرابط الأسرية، قلة الترابط الأسري بين أفراد الأسرة ينتج عنه تفكك أسري، انشغال الزوجة خارج المنزل يتسبب في تفكك الأسرة، وأوصت الدراسة بعدد من التوصيات أهمها: المحافظة على الاسرة من التفكك، إجراء ارشادات حول الاسباب التي تؤدي إلى تفكك الأسرة، زيادة درجة التواصل الثقافي والفكري بين الزوجين.
Development of the structure of q-Rung Orthopair Fuzzy Hypersoft Set with basic Operations
Authors: Khan Salma Khan , Gulistan Muhammad , Wahab Hafiz Abdul
Published: March 2022

This article introduces a new concept, called q-rung orthopair fuzzy hypersoft set (q-ROF Hypersoft sets). We introduce a theme of some fundamental operations such as q-ROF Hypersoft-subset, q-ROF Hypersoft null-set, q-ROF Hypersoft absolute-set, union, intersection, and complement. We also present ”AND” and ”OR” operators. To check out the validity of q-ROF Hypersoft sets, we use some numerical examples
Ways to improve the diagnostics and detection of cervical cancer development and recurrence risk
Authors: Tazhibayeva K. , Sadykova A. , Tasboltaeva D. , Ormanov A. , Kaldygozova G.
Published: March 2022

Relevance: Cervical cancer is the fourth leading cause of female death and the third most common female cancer worldwide.
The purpose of the study was to determine risk factors and time to progression and recurrence in patients with cervical cancer after complex treatment (neoadjuvant chemotherapy + radical hysterectomy + combined radiation therapy).
Materials and methods: This retrospective study involved female patients with stage IB-IIA cervical cancer registered at Shymkent city oncological dispensary in 2011-2021 (n=883). All patients underwent radical hysterectomy with pelvic lymph node dissection. The patients
were selected who underwent radiation therapy of the lower pelvis at a dose of ≥40 g. The age-, stage-, and tumor morphological structure-dependent survival factors and recurrence risk were analyzed during the research decade.
Results: Direct correlation of the disease stage and the recurrence period was established. The progression was most often 5 to 6 months after treatment. 68.7% of progression and 63.1% of recurrences occurred in the first year and a half after the end of treatment, so this period
is considered the most “dangerous” regarding the recurrence risk. 5.3% of patients had a recurrence 19 to 24 months after treatment, 31.5%
– after more than two years.
Conclusions: In this research, cervical cancer progressed in 74 (10.6%) out of 883 women and recurred in 19 (3.0%). The recurrence was most frequent in women aged 45-50 years (28.4%) and 50-60 years (26.3%).
Lung cancer incidence and mortality trends in the Republic of Belarus (1990–2019)
Authors: Kurchin V. , Kurchenkov A. , Evmenenko A. , Levin L.
Published: March 2022

Аннотация:

Relevance: Lung cancer is one of the most frequent and unfavorable malignant diseases globally. The Republic of Belarus ranks third (8.2%) in cancer incidence and first (21.5%) in cancer mortality.
The object of the study was the lung cancer incidence and mortality trends in the Republic of Kazakhstan in 1990-2019.
Results: In the study period, the standardized incidence rate decreased from 27.5 to 25.6 per 100 000 population (- 7.1%, p<0.01). In males, it decreased from 62.1 to 54.6 per 100 000 males (- 12.1%, p<0.001); in females, it increased from 5.3 to 6.4 per 100 000 females (+20.7%, p<0.05). The standardized lung cancer mortality rate has decreased over the study period from 23.0 to 18.3 per 100 000 population (- 20.4%, p<0.001). In males, it went down from 53.6 to 40.7 (- 24.1%, p<0.001), and in women it changed slightly from 3.6 to 3.7 (+ 2.8%, p>0.05) per 100 000 of the relevant sex. The average annual increase in standardized mortality decreased eight times
faster than the growth in standardized incidence.
Conclusion: In the Republic of Belarus, lung cancer incidence is increasing in males and decreasing in females. At that, lung cancer mortality is decreasing. Quality specialized cancer care creates conditions for quicker negative growth of lung cancer standardized mortality vs. incidence
An unexpected aerobic oxidation of α-amino boronic acid part of Borteomib, leading to (thermal) decomposition of this very expensive anti-cancer API
Authors: Beheshti Abolghasem , Payab Meghdad , Seyyed-Ali-Karbasi Vahid , Siadati Seyyed Amir
Published: March 2022

This project was started when an unknown peak was being detected in the organic volatile impurity (OVI) analysis (using the head-space vapor sampling procedure) of bortezomib (BZB) active pharmaceutical ingredient (API), in pharmaceutical companies. During the OVI analysis of the API of BZB, a huge-area peak with an unknown source appeared in the chromatograms of the gas chromatography with flame ionization detector (GC-FID). The data prepared by GC-MAS revealed that the considered huge peak was 3-methylbutanal (3MBut). But, investigating the synthesis procedures showed that during all the synthesis steps, 3MBut or any other solvent containing this impurity was not being applied. Thus, we had concluded that there is a possibility for emergence of this aldehyde from bortezomib itself. To find out which part of bortezomib might turn into 3MBut, we began to investigate all its molecular structure, and hypothesized that the α-amino-boronic acid part of the molecule turned into 3MBut. The experimental analysis and theoretical quantum chemical calculations confirmed that the α-amino-boronic acid center of bortezomib molecule undergoes a rare and unexpected aerobic oxidation by O2 molecule, even in catalyst and solvent-free conditions. The result of this project not only might make clear the passive source of the 3MBut peak of the OVI of bortezomib, but also, it would suggest to store this API in an inert oxygen-free atmosphere to improve the long-term and accelerated (thermal) stability of this very expensive anti-cancer drug.
Effect of irrigation intervals and foliar spray of zinc and silicon treatments on maize growth and yield components of maize
Authors: Abdelgalil A. , Mustafa A.A. , Ali S. A. M. , Yassin Omar M.
Published: March 2022

Field experiments were carried out for two consecutive seasons at the Experimental Shandaweel Agricultural Research Station, Sohag Governorate, Upper Egypt, during the growing seasons of 2013 and 2014, to study the Effect of Irrigation intervals and foliar spray of zinc and silicon treatments on Maize growth and yield components of maize. Results indicated that, scheduling at every 10 days produced the highest plant height, Flag Leaf area (cm²), Cob length (cm), Weight of 100-grains (g), Biological yield (T/fad.) and Grain yield (ard./fed.) followed by irrigation at 15 and 20 days interval, in contrast irrigation at 25 days interval produced the lowest values and foliar spray of zinc and silicon treatments produced the highest plant height-improved yield and yield components of maize crop. The best yield was obtained from zinc + silicon treatments followed by zinc, silicon treatments. In contrast, untreated treatments produced the lowest values. It can be concluded that the scheduling at every 10 days and application of foliar spray of zinc + silicon treatments as the effective one could be recommended for scheduling irrigation at every 10 days with application of foliar spray of zinc + silicon treatments of maize crop at Shandaweel Agricultural Research Station, Sohag Governorate, Upper Egypt to obtained the best results from maize grain yield.
Effect of different water deficit and foliar spray of zinc and silicon treatments of chemical composition of maize
Authors: Abdelgalil A. , Mustafa A.A. , Ali S.A.M. , Yassin Omar M.
Published: March 2022

Field experiments were carried out for two consecutive seasons at the Experimental Shandaweel Agricultural Research Station, Sohag Governorate, Upper Egypt, during the growing seasons of 2013 and 2014, to study the effect of irrigation intervals and foliar spray of zinc and silicon treatments on chemical composition of maize. Results indicated that scheduling at every 10 days produced the N% , Crude protein%, Cu%, P%, K%, Zn%, Si%, Mn% and Fe% and foliar spray of zinc and silicon treatments produced the highest chemical composition of maize crop. The best N%, Crude protein%, Cu% and Mn were obtained from zinc + silicon treatments followed by zinc, silicon treatments. In contrast, untreated treatments produced the lowest values. It can be concluded that the scheduling at every 10 days and application of foliar spray of zinc + silicon treatments as the effective one could be recommended for scheduling irrigation at every 10 days with application of foliar spray of zinc, silicon or zinc +silicon treatments of maize crop at Shandaweel Agricultural Research Station, Sohag Governorate, Upper Egypt to obtain the best results from chemical composition of maize.
Theoretical study of the stability and reactivity of salicylic acid isomers by the DFT method
Authors: Ouafy Hayat EL , Aamor Mouna , Oubenali Mustapha , Mbarki Mohamed , Haimouti Aziz EL , Ouafy Tarik EL
Published: March 2022

The FT-IR spectrum of salicylic acid (SA) was studied in the region 10-4000 cm-1. The optimized molecular geometry and fundamental vibration frequencies are interpreted using structural optimizations based on the Functional Density Theory (DFT) method. Additionally, we used B3LYP / 6-311G (d, p) to determine the chemical descriptor, the ionization potential (I), the electron affinity (A), the chemical potential (μ), the chemical hardness (η). Nonlinear optical descriptors (NLO) such as dipole moment (μ), polarizability (α), first hyperpolarizability (β) and second hyperpolarizability (γ), 3D maps of HOMO and LUMO orbitals, lengths and Bond angles of salicylic acid isomers are also determined by both DFT and MP2 (The Møller-Plesset theory of order 2 perturbation) methods. The overall descriptors and the non-linear optical properties confirmed that salicylic acid is the reactive molecule and para-hydroxybenzoic acid is the stable molecule. An electrostatic molecular potential (MEP) study was also performed to determine the reactivity of molecules.
Obezite Paradoksu
Authors: KILIÇ Kübra , ÖZDOĞAN Yahya
Published: March 2022

Obezite, günümüzde gelişmekte olan ülkeler için tıpkı gelişmiş ülkeler gibi, bulaşıcı olmayan hastalıklar için bir risk faktörüdür. Obezite başta kardiyovasküler hastalıklar olmak üzere kanser, diyabet ve diğer bulaşıcı olmayan hastalıklar (BOH) ile birlikte bir prognoz izlemektedir. Yakın geleceğe kadar yapılan çalışmalarda BKİ değeri arttıkça risk faktörünün arttığını ve obezite ile birlikte BOH için zemin oluşturduğu saptanmıştır. Ancak son yapılan çalışmalar da görüyoruz ki Beden Kitle İndeksi (BKİ) 30’dan fazla olmasına rağmen aktif ve hareketli yaşayanlar, düşük BKİ’ye sahip ancak sedanter yaşayanlara kıyasla kronik hastalıklara daha az yakalanmaktadırlar. Bu durum ‘obezite paradoksu’ olarak tanımlanmaktadır. Obezite paradoksu teriminin literatürdeki yeri tartışmalı olup hastalıklar ile ilişkiler ve ortaya çıkışını etkileyen etmenler hakkında daha fazla çalışmaya ihtiyaç duyulmaktadır.
Upgrade Skill Siswa SMK Kadiri Kras dengan Accurate
Authors: Agustina Rachma , Pertiwi Dwi Ari , Ardiana Meta
Published: March 2022

Program pengabdian kepada masyarakat ditujukan untuk peningkatan kemampuan siswa SMK dalam memanfaatkan aplikasi accurate untuk penyusunan laporan keuangan.  Semakin meningkatnya tuntutan dari dunia kerja, mau tidak mau harus diikuti dengan peningkatan kemampuan siswa selama menempuh proses pembelajaran. Hal ini agar siswa siap menghadapi persaingan dunia kerja dan juga menambah rasa percaya diri siswa dalam menghadapi masa depannya. Pelatihan diikuti oleh 25 siswa kelas XII SMK Kadiri Kras, dari jurusan Akuntansi. Metode pelaksanaan program dengan memberikan materi dan contoh kasus input transaksi pada akun-akun yang tersedia pada aplikasi Accurate, sedangkan siswa langsung mempraktekkan aplikasi tersebut pada komputer di laboratorium sekolah. Pelaksanaan berlangsung dengan lancar dan siswa yang merupakan peserta pelatihan tampak antusias selama proses pelaksanaan, hal ini bisa dilihat dari tanya jawab dan diskusi yang terus berjalan selama program pengabdian kepada masyarakat dilaksanakan.
The influence of the scientific approach learning model on the learning outcomes of Buddhism and students' creative thinking skills
Authors: Putu Sukmaliani Ni , Tjhia Khie Khiong  , Endang Sri Rejeki
Published: March 2022

The study aims to analyze the effect of the learning model with a scientific approach on the learning outcomes of Buddhism and students' creative thinking skills. The study Employing quantitative research, this study carries out a pre-experimental design with one group pretest-posttest design. The research population is SMP Negeri Uggulan Doremi students, and the samples are the grade VIIA students in the 2020/2021 academic year. The instruments used are science learning outcomes tests and creative thinking skills tests. Descriptive statistics and T-test analyze data on learning outcomes and creative thinking skills. The results show that there is a significant difference in (1) learning outcomes between students who were taught using the direct instruction model and students who were taught using the scientific approach (p<0.05), and (2) students' creative thinking skills between students who were taught using the direct instruction model and students who are taught using the scientific approach (p<0.05). This study proves that the scientific approach is an effective learning model to improve student learning outcomes and creative thinking skills.
Collaborative strategy: Creating inclusive school-based guidance and counseling services
Authors: Sri Maullasari
Published: March 2022

The purpose of this study was to describe collaborative strategies in creating inclusive school-based guidance and counseling services. Strengthening Inclusive Education required the role of all parties in educational institutions, including guidance and counseling. This study used the library research method. This literature study was related to the object of writing, which was inclusive guidance and counseling services. Every individual with special needs, both permanent and temporary, has different learning barriers and needs. School counselors were uniquely positioned to collaborate with stakeholders and identify each student's critical resources and support systems to achieve academic and socio-emotional success. Collaboration was the basis between the school and parents, and other experts to systematically, consistently, and sustainably.
Examination of Children’ Playing Game Tendencies and Digital Game Preferences Based on Gender
Authors: Bahçekapılı Ekrem , Yıldız Merve , Çiftci Erhan , Karal Hasan
Published: March 2022

This study reports on a survey of 4-8th grade students’ (N=10139) playing game tendencies and digital game preferences based on gender. Descriptive statistics were used to determine the children’ playing game tendencies and digital game preferences. And also, frequent pattern mining was used to discover which digital games are played frequently and together by children. The findings showed that children have an increase time spent playing games on weekend and boys tend to playing game more than girls. On the other hand, action games stood out as the most common choice among the children both girls and boys. In terms of game language, Turkish and English games were preferred almost equally. In addition, children mostly preferred digital games that can be played online, offering in-app purchases, and played on mobile devices. According to the frequency of playing, it was found that the children mostly preferred to play Minecraft, followed by Subway Surfers and Hay Day, respectively. In terms of gender, it was concluded that girls mostly preferred Subway Surfers, while boys played Hay Day. When the games were considered according to the frequency of playing together, Temple Run and Subway Surfers games among girls, and FIFA and Piano Tiles games among boys can be played together. The research reveals more detailed information about children’ game preferences in terms of gender.
Aplicação da tecnologia da informação na avaliação de usuários da atenção primária à saúde no enfrentamento à COVID-19
Authors: Coutinho Luís Rafaeli , Lopes Lecian Cardoso , Neves Henrique Pereira Oliveira d’Eça , Costa Sibele Holsbach , Lutke Cristiane Ortega , Stuart Maritza Regina
Published: March 2022

Objetivo: Identificar características clínicas e comportamentais de enfrentamento da COVID-19 em usuários da Atenção Primária à Saúde por meio de ferramenta de tecnologia da informação e comunicação. Método: Estudo exploratório de natureza quantitativa realizado com 376 usuários dos Centros de Saúde Abraão, Coqueiros, Novo Continente e Vila Aparecida de Florianópolis – SC. Os dados foram coletados através de formulário eletrônico e contatos com usuários através de aplicativo de mensagens. Resultados: Em 55% da amostra foi constatado que pacientes em algum momento foram sintomáticos. Os principais sintomas apresentados foram a dor de cabeça (36,4%), seguido pela dor muscular (24,5%), fadiga (24,5%) e tosse (22,3%), confirmando alguns dos principais sintomas da doença. Conclusão: Mais da metade dos participantes apresentaram sintomas antes da pandemia, sendo a dor de cabeça, dor muscular, fadiga e tosse os mais frequentes. Cerca de um quarto dos pesquisados confirmaram ter tido contato com algum parente ou pessoa com COVID-19. A maioria das pessoas teve preocupação em manter o isolamento.
Parenting peer education on adolescent mothers
Authors: Rokhanawati Dewi , Salimo Harsono , Andayani Tri Rejeki , Hakimi Mohammad
Published: March 2022

The study aims to review the evidence related to the application of parenting peer education in several countries and to find out the effectiveness of parenting peer education for adolescent mothers. This study used Scoping Review-PRISMA-ScR on the Wiley Online Library, PubMed, Science Direct, and EBSCO databases. Articles that meet the inclusion and exclusion criteria were then subjected to a critical appraisal using the Joanna Briggs Institute tools. 12 articles were identified in this review. The results showed that there were four themes: partner support, family support, social support, and the effectiveness of peer education. Partner support could provide inner peace, while parents could advise during the transition period as parents. In addition, peer counseling could also be used as a strategy to assist women in becoming new roles as mothers. Peer counseling was able to increase the mother's trust due to similar experiences. They offered a unique empathic understanding, conveyed information in simple language, and were able to help in making the right decision. The support needed by adolescent mothers depends on the context of their relationships with others.
MATHEMATICAL MODEL OF THERMOELASTICITY OF STATIC DEFORMATION OF MICROPOLAR BEAM WITH A CIRCULAR AXIS ON THE THEORY WITH CONSTRAINED ROTATION AND THE FINITE ELEMENT METHOD / МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ТЕРМОУПРУГОСТИ СТАТИЧЕСКОЙ ДЕФОРМАЦИИ МИКРОПОЛЯРНОГО СТЕРЖНЯ С КРУГОВОЙ ОСЬЮ ПО ТЕОРИИ СО СТЕСНЕННЫМ ВРАЩЕНИЕМ И МЕТОД КОНЕЧНЫХ ЭЛЕМЕНТОВ
Authors: Sargsyan S. , Khachatryan M.
Published: March 2022

In the present paper on the basis of the previously developed hypotheses system the applied model of thermoelasticity of micropolar thin beams with a circular axis with constrained rotation is constructed. Energy theorems are proved and the corresponding variational principles are established. To solve boundary-value problems of the applied model of thermoelasticity of micropolar thin beams with a circular axis with constrained rotation ways of construction of analytical solutions are considered as well as a version of the finite element method is developed. On the basis of numerical results and parametric analysis of problems, it is established that the consideration of the micropolar properties of the material, in case of other equal conditions, increases the rigidity of the beams in comparison with the classical case.
В работе на основе ранее разработанной системы гипотез построена прикладная модель термоупругости микрополярных тонких стержней с круговой осью со стесненным вращением. Доказаны энергетические теоремы и установлен вариационный принцип типа Лагранжа. Для решения граничных задач прикладной модели термоупругости микрополярных тонких стержней с круговой осью со стесненным вращением, рассматриваются пути построения аналитических решений, а
также разрабатывается вариант метода конечных элементов. На основе численных результатов и параметрического анализа задач устанавливается, что учет микрополярных свойств материала при
остальных равных условиях повышает жесткость стержней по сравнению с классическим случаем.
Tarım Sektöründe Çalışanların Tarım İlaçları Konusunda Bilgilerinin Belirlenmesi
Authors: DURMAZ Seyfi , MANDIRACIOĞLU Aliye , OZVURMAZ Safiye , HASSOY Dilek
Published: March 2022

Giriş: Pestisitler haşere popülasyonuna karşı etkili olmakla birlikte, bilinçsizce kullanıldıklarında, gıda, yem, su kütleleri ve çevrenin istenmeyen kontaminasyonu yoluyla insanlar, evcil hayvanlar, mahsul zararlılarının doğal düşmanları ve diğer yaşam biçimleri için ciddi sağlık tehlikeleri oluşturabilirler. Çalışmamızın amacı tarım sektöründe çalışanların tarım ilaçları konusunda bilgisini ve bilgi düzeyi ile ilişkili olabilecek faktörleri belirlemek, alanda yapılacak müdahale programlarına ve politika geliştirmeye ışık tutacak bilimsel veri sağlamaktır.

Yöntem: Kesitsel tipteki bu araştırma Temmuz 2020-Kasım 2020 tarihleri arasında Aydın İli kırsalındaki 291 tarım işçisinin katılımı ile gerçekleştirilmiştir. Veri toplama aracı olarak 14 sorunun yer aldığı form kullanılmıştır.

Bulgular: Çalışmamıza katılan tarım işçilerinin %73,2’si erkek, yaş ortalaması 49.4±14.4 ve %66,7’si ilkokul veya daha az eğitim düzeyinde bulunmuştur. Katılımcıların %73,9’u pestisit uygulamakta, %18,1 hiçbir kullanım sırasında koruyucu önlem almamaktadır. Maske (%64,2) ve eldiven (%62,3) kullanımı en sık tercih edilen kişisel koruyucu donanımlar olmuştur. Grubun %64,8’inin pestisit bilgi düzeyi düşük saptanmıştır. Pestisit ile ilgili bilgi kaynağı olarak ilk sırada komşu ve akrabalar (%34,4) olmuştur.

Sonuç: Çalışmamızda katılımcıların neredeyse 1/5’i pestisit kullanımı sırasında koruyucu kullanmadığını beyan etmiştir. Bu çalışmada tarım ilacı kullanımı konusunda bazılarının yetersiz bilgiye sahip olduğu anlaşılmaktadır. Çiftçiler, çevre ve insan sağlığına yönelik büyük riskleri en aza indirmek için pestisit uygulamalarını iyileştirmeye ve pestisit kullanımında güvenli davranışları benimsemeye teşvik edilmelidir. Çiftçilere açık ve standart bilgi sağlamak için pestisit tedarikçilerinin de eğitimi ve denetlenmesi gereklidir.
Effect of auxins on stem cuttings and air layers of Embelia ribes Burm. f. - an important Medicinal plant of India
Authors: Hussain Abdul , Pandurangan A.G. , Remya R.
Published: March 2022

Clonal propagation studies of Embelia ribes Burm.f. (Myrsinaceae) by treating semihard and hardwood stem cuttings for inducing rooting using various hormones are presented. Standardisation of air layering techniques are also provided as part of the propagation studies. The plants of 6-8 year old has resulted in maximum rooting of 80% in semihard wood cuttings treated with IBA at 1000 ppm and air layering success was also found to be 70% with that of same concentration. The clonal propagation methods standardized through stem cuttings and air layering in this species is a first report and it can be an ideal propagation techniques for its mass multiplication for conservation and sustainable utilization of this rare species.