bluuebunny/crossref_metadata_2025_split huggingface dataset:
MOTIVATIONAL BASIS FOR THE FORMATION OF UNIVERSAL COMPETENCIES OF UNDERGRADUATE STUDENTS OF A TECHNICAL UNIVERSITY
Authors: Афанасьева Инга Геннадьевна , Сивицкая Людмила Анатольевна 
Published: October 2020

Представлено исследование мотивационной сферы студентов младших курсов технического вуза. Проведен анализ связи учебных, малоосознаваемых личностных мотивов студентов с группами универсальных компетенций, а также определены дефициты персональных навыков, которые влияют на формирование универсальных компетенций. Были сделаны следующие выводы: изучение и анализ мотивационной сферы студентов младших курсов позволяют своевременно актуализировать дефициты персональных навыков в освоении универсальных компетенций, закрепленных в образовательной программе подготовки специалистов; разработав модель формирования универсальных компетенций на базе полимотивационной структуры учебных мотивов, можно получить инструмент подготовки специалиста, отвечающего современным требованиям профессиональной среды.
The paper presents a research of motivational sphere of undergraduate students of a technical Universi-ty. The connection of educational, poorly realized personal motives of students with groups of universal competencies was analyzed, and the deficiencies of personal skills that affect the formation of universal competencies were identified. Personal skills are more closely related to psychological characteristics, preferences, experience, environment, and so on. They develop more slowly and more difficult. In the motivational sphere of university students contains two main groups of motives. The first group is the motives inherent in the training itself. They determine the educational and cognitive motivation of stu-dents. The second group includes motives associated with what lies outside the learning process. In the process of developing a student’s professional competence, one can observe a different combination of the first and second groups of motives. The following conclusions were drawn: the study and analysis of the motivational sphere of undergrad-uate students allows timely updating of personal skill deficiencies in the development of universal com-petencies enshrined in the specialist training curriculum; having developed a model of the formation of universal competencies based on the poly-motivational structure of educational motives, you can get a tool to train a specialist meeting modern requirements of the professional environment.
SOLVING POSITIONAL STEREOMETRIC TASKS IN THE GEOGEBRA ENVIRONMENT
Authors: Елисова Анна Петровна , Фирер Анна Владимировна 
Published: October 2020

Актуальность темы обусловлена затруднениями обучающихся, которые они испытывают при решении стереометрических задач. Об этом свидетельствуют ежегодные результаты единого государственного экзамена по математике профильного уровня. На протяжении последнего десятилетия с развитием современных информационных технологий предпринимаются многочисленные попытки повышения эффективности обучения геометрии в школе за счет внедрения интерактивных сред, обеспечивающих различные функции наглядности на уроке и на внеклассных занятиях по математике. Среди современных доступных цифровых инструментов, позволяющих выполнять построения и преобразования геометрических объектов в интерактивном режиме, все большим спросом среди учителей и исследователей пользуется среда GeoGebra. Однако анализируя русскоязычные печатные и электронные источники, можно заключить, что вопрос о применении GeoGebra при решении позиционных стереометрических задач раскрыт недостаточно полно. Раскрыты особенности решения позиционных стереометрических задач с использованием среды GeoGebra 5.0 на уроках геометрии в средней школе и при обучении методам изображений будущих учителей математики в педагогическом вузе. Сделан акцент на преимуществе применения GeoGebra при обучении построению пространственных фигур и их сечений по сравнению с традиционным обучением. На примере решения задачи на построение сечения многогранника плоскостью различными способами подробно описан необходимый инструментарий среды GeoGebra 5.0.
The relevance of the topic is due to the difficulties students experience when solving stereometric tasks. This is evidenced by the annual results of the unified state examination in mathematics of the profile level. Over the past decade, with the development of modern information technologies, numerous attempts have been made to improve the effectiveness of teaching geometry at school through the introduction of interactive environments that provide various visibility functions on lessons and in extracurricular math classes. Among the modern available digital programs that allow you to build and transform geometric objects interactively, the GeoGebra environment is in increasing demand among teachers and researchers. However, analyzing Russian-language printed and electronic publications, we can conclude that the issue of using GeoGebra in solving positional stereometric tasks is not fully disclosed. Тhe article considers the features of solving positional tasks using the Geogebra 5.0 environment when teaching image methods to future mathematics teachers at a pedagogical institute and at geometry lessons in high school. The article focuses on the advantages of using GeoGebra in teaching the construction of spatial shapes and their sections in comparison with traditional training. The necessary tools of the Geogebra 5.0 environment are described in detail using the example of solving the task of constructing a polyhedron section by a plane in various ways.
Towards Bayesian Quantification of Permeability in Micro-scale Porous Structures – The Database of Micro Networks
Authors: Fazelabdolabadi Babak , Golestan Mohammad Hossein 
Published: October 2020

This article develops a Bayesian framework to quantify the absolute permeability of water in a porous structure from the geometry and clustering parameters of its underlying pore-throat network. These parameters include the network`s diameter, transivity, degree, centrality, assortativity, edge density, K-core decomposition, Kleinberg’s hub centrality scores, Kleinberg's authority centrality scores, length, and porosity. In addition, the incorporated clustering aspects of the networks have been determined with respect to several clustering criteria – edge betweenness, greedy optimization of modularity, multi-level optimization of modularity, and short random walks. As such, the article takes the first footsteps of creating a Database of Micro Networks for micro-scale porous structures, to be used as main input stream for the proposed Bayesian scheme. Doi: 10.28991/HIJ-2020-01-04-02 Full Text: PDF
Topology Optimization by the use of 3D Printing Technology in the Product Design Process
Authors: Ntintakis Ioannis , Stavroulakis Georgios Eleftherios , Plakia Niki 
Published: October 2020

The designing process of a new product includes various stages, one of which is the evaluation of an idea thought prototype manufacturing. The use of additive manufacturing consists the most efficient and effective way for prototype manufacturing. In order to maximize the benefits from the use of additive manufacturing, we should choose the suitable printing parameters. A vital parameter for defining the quantity of raw material used and the model solidity is the inner wall thickness. Depending on the selected technique of additive manufacturing, the thickness of the inner wall may differ. In this study we initially print furniture models with different wall thicknesses using the Inject Binder technique and then we check their durability and resilience by compression tests. Evaluating the study results indicate the hollow printed specimens have high durability during compression tests and can be used to evaluate a design idea. Using the facts derived from lab tests we perform Topology Optimization studies under different circumstances to evaluate the method and come up with the optimal design solution. Initially, the Topology Optimization study concern only the table surface and not the whole model. The following studies were performed for the whole model, different constraints and load cases defined. Then, the optimized models are redesigned in order to improve their durability. The performed studies show that Topology Optimization is a powerful tool, which is able to support the designers/ engineers to take the right decision during the design process. Doi: 10.28991/HIJ-2020-01-04-03 Full Text: PDF
Wolf predation risk and moose movement in eastern Finland
Authors: Pusenius Jyrki , Kukko Tuomas , Melin Markus , Laaksonen Sauli , Kojola Ilpo 
Published: October 2020

Grey wolf Canis lupus is often the main predator of moose Alces alces. Therefore it can be expected that moose are able to recognize the presence of wolves and react to them to avoid predation. We examined the effect of predation risk by wolves on movement patterns by moose in eastern Finland where moose and wolves have co‐existed for centuries. The level of wolf predation risk experienced by 20 radio‐collared adult moose was classified according to the proportion of their fixes in wolf territories. Our results suggest that moose adjust their movement speed according to the degree they are exposed to the presence of wolves. The adjustment occurred in summer but not in winter. In summer the moose more exposed to wolves moved faster than the moose less exposed to wolves. Season and the structure of the surrounding forests also affected moose movement patterns. Both movement speed and the linearity of movement decreased in winter and with increasing canopy cover. We suggest that by increased moving when exposed to higher risk of predation moose try to keep distance to the predator and/or try to keep themselves spatially and temporally unpredictable to their predator. Our results differ from those obtained in Scandinavia where no response of moose movement to predation risk by wolves has been detected. It might be that wolves' continuous presence in eastern Finland compared to Scandinavia provide a reason why moose in our study area reacted to the presence of wolves.
Designing a fence that enables free passage of wildlife while containing reintroduced bison: a multispecies evaluation
Authors: Laskin David N. , Watt Dillon , Whittington Jesse , Heuer Karsten 
Published: October 2020

Reintroductions of extirpated species are an important global conservation tool, yet can be challenging for wide‐ranging species. Fences that help anchor reintroduced species to a target area may have deleterious effects on other wildlife. Here we assessed the wildlife‐permeability of six bison drift fence designs at three spatial scales during the reintroduction of a wild herd of plains bison Bison bison to a 1200 km2 wilderness area in Banff National Park, Canada. First, we used an array of remote cameras along fences to capture wildlife interactions for 12 species, and modelled crossing success, preferred crossing methods and age–sex class tendencies. Second, we investigated fence barrier effects on wildlife movement at the local scale using cameras that were in place before and after fence construction. Finally, we tested for changes in movement rates of migratory elk and resident wolves at the landscape scale using GPS collar telemetry. Our results point to a single fence design that maximizes permeability for several species with diverse crossing strategies, and can be adjusted to contain bison. Wildlife detections increased independently of fence construction in our broader study area. Fence construction did not affect wolf or elk movements and migration at a landscape scale even when fences were deployed to obstruct bison. Our study highlights the important role of wildlife permeable fences in the reintroduction of large mammals such as bison.
Combined Effects of Vernalization and Gibberellic Acid on Quality Seed Production of Summer Onion (Allium cepa L.)
Authors: Khatun Lamia , Karim Md. Rezaul , Talukder Fakhar Uddin , Rahman Md. Sohanur 
Published: October 2020

The purpose of the present study was to evaluate the effect of vernalization and GA3 on seed yield and reproductive quality of summer onion. There were three vernalization treatments viz., no vernalization (control), vernalization at 5°C for 14 days and vernalization at 10°C for 14 days and four GA3 treatment viz., 0, 50, 100 and 150 ppm. The two-factor experiment was conducted in the Randomized Complete Block Design (RCBD) with three replications. Combination between vernalization and GA3 was significant on the parameters such as plant height, number of leaves plant-1, the highest number of flowering stalk, number of umbels plant-1, number of bud umbel-1, percent flowering at 45 and 60 DAP, number of seeds umbel-1, weight of seeds umbel-1, weight of seeds plant-1, weight of seeds plot-1, 1000 seed weight, seed yield, number of fruits umbel-1, percent of fruit set umbel-1and percent germination. Combined effect of vernalization & GA3 was considered the highest seed yield (280.42 kgha-1) was obtained from vernalization at 5°C for 14 days with 100 ppm GA3. The lowest values of all the parameters were recorded in the control treatment. No limitation is found in the present experiment. Combined use of proper vernalization of mother bulb and suitable concentration of gibberellic acid can be one possible way to expand onion production during the summer.
LITERATURE REVIEW: PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK
Authors: Sriyati Sriyati , Setyanto Arief , Luthfi Emha Emha 
Published: October 2020

Facial recognition to detect the identity of the gallon user's face in honesty in the school environment has many methods such as local, global, and hybrid approaches. The main problem of using the gallon of honesty is that the program uses the Self-service system, which is a self-service system, where the buyer serves itself unattended. The water charging activity is still found by users who are dishonest, such as taking water but not putting money into the place that has been provided, the thing that should be when the user fills the water then the user must also enter Money into the box provided. Because of the absence of supervision in this program of honesty then it is difficult to know who is dishonest in order to be able to do prevention for the dishonesty that has occurred when using the gallon of honesty program. Facial recognition using the Convolutional Neural Network (CNN) method to classify images. A literature review is used to analyse and focus on techniques in conducting facial recognition on the use of gallons of honesty. Keywords: facial recognition, convolutional neural network methods, a gallon of honesty
Pemetaan Usaha Cafe Di Manahan Dengan Menggunakan Metode Naive Bayes Studi Kasus Dinas Perdagangan
Authors: Harsadi Paulus , Remawati Dwi , Satrio Kriswantoro Budi 
Published: October 2020

There are many cafes in Manahan, Surakarta. Café can be found almost in every street and it usually visits teenagers. In several years, businesses café grow rapidly in Manahan. Nowadays there are a lot of teenagers who have a habit of hanging out in the café. The purpose of this study is to build a mapping business café in Manahan using Naïve Bayer Method. It is caused to determine a large variable which has high potential for the surrounding point. It cannot be denied that using Naïve Bayes Method can help people to determine the mapping business café. The result of this study is arranged based on the lowest value which is consisting of micro, small and medium. Keywords: Mapping, Naive Bayes, Application
PHOSPHORUS AND POTASSIUM RESERVES IN THE MAIN TYPES OF ZONAL SOILS OF THE CHELYABINSK REGION
Authors: Zakharova I. A. , Iumashev Kh. S. 
Published: October 2020

One of the most important tasks of land monitoring is to control the content of gross and mobile forms of basic nutrients in soils. The phosphate-potassium regime of the soil depends not only on its type and the geochemical composition of the soil-forming rock, but also on the landscape and the level of chemicalization of the soil. The low content of phosphorus in the soil in the main area of agricultural land limits the productivity of agrocenoses. The reserves of potassium in the soils of the region are quite high. However, monitoring of this indicator is still important. A comparative assessment of the phosphate-potassium regime of arable land and virgin lands under the same soilforming process is of scientific and practical interest. According to the research results, it has been established that black soils have the highest reserves level of gross and mobile forms of phosphorus. Dark gray mountain-forest soils have the lowest one. A widespread decrease in the reserves of mobile phosphorus in agricultural soils was revealed. This tendency is especially pronounced in dark gray mountain forest soils, ordinary and southern black soils. According to the results of monitoring, it was revealed that the reserves of exchangeable potassium in the main area of arable land and virgin land are gradually increased. In the dark gray mountain-forest soils, as well as leached black soils for five rounds of the survey, the reserves of exchangeable potassium decreased. It is necessary to adjust the dose of fertilizers into the farms with updated information on the agrochemical properties of the soil, taking into account the content of phosphorus and potassium in the arable layer. Also it is of great importance to take into account their removal with the crop and the utilization rate of nutrients from the soil and fertilizers.
DIVERSITY IN THE NATURAL RESOURCE WORKFORCE
Authors: Mejia Maria Florentina , Griffis-Kyle Kerry L. 
Published: October 2020

Resource managers in the natural resource profession address large and complex issues that have expanded as the diversity of stakeholders using these resources has grown. Management decisions impact people’s access to these resources, so including a variety of perspectives in this process is vital for addressing these growing priorities and diverse perspectives. However, the profession fails to represent the human diversity of its constituency. To inform recruitment efforts and retention of diverse groups of professionals, we studied influential experiences, supports and barriers to career development, and timing of career selection. We surveyed 597 students and natural resource professionals in Texas. We found all were drawn to this field because it was intrinsically satisfying; however, females were more intrinsically motivated and males more extrinsically motivated. We also identified differences in influential experiences based on ethnicity suggesting better targeted outreach that addresses cultural differences throughout the formative years is necessary to improve recruitment. The most frequently cited barriers to career progression were the low pay and job security that graduates face when entering the workforce as well as the lack of teacher and mentor support through professional development. The field of natural resources has been improving in workforce diversity but still does not represent the human diversity in the general population. Targeting engaging activities for young children, establishing appropriate mentoring programs, and offering better paying permanent jobs to graduates rather than seasonal employment are ways that the profession could further improve workforce human diversity.Supplemental material is available for this article online.
Coronavirus diseases and pregnancy: COVID-19,SARS, and MERS
Authors: Fathi M , Vakili K , Deravi N , Yaghoobpoor S , Ashan E , Mokhtari M , Moshfeghi M , Vaezjalali M 
Published: October 2020

<p><strong>ABSTRACT</strong><br />Around the end of December 2019, a new beta-coronavirus from Wuhan City, Hubei Province, China began to spread rapidly. The new virus, called SARS-CoV-2, which could be transmitted through respiratory droplets, had a range of mild to severe symptoms, from simple cold in some cases to death in others. The disease caused by SARS-CoV-2 was named COVID-19 by WHO and has so far killed more people than SARS and MERS.<br />Following the widespread global outbreak of COVID-19, with more than 132758 confirmed cases and 4955 deaths worldwide, the World Health Organization declared COVID-19 a pandemic disease in January 2020.<br />Earlier studies on viral pneumonia epidemics has shown that pregnant women are at greater risk than others.<br />During pregnancy, the pregnant woman is more prone to infectious diseases. Research on both SARS-CoV and MERS-CoV, which are pathologically similar to SARS-CoV-2, has shown that being infected with these viruses during pregnancy increases the risk of maternal death, stillbirth, intrauterine growth retardation and, preterm delivery. With the exponential increase in cases of COVID-19 throughout the world, there is a need to understand the effects of SARS-CoV-2 on the health of pregnant women, through extrapolation of earlier studies that have been conducted on pregnant women infected with SARS-CoV, and MERS-CoV. There is an urgent need to understand the chance of vertical transmission of SARS-CoV-2 from mother to fetus and the possibility of the virus crossing the placental barrier. Additionally, since some viral diseases and antiviral drugs may have a negative impact on the mother and fetus, in which case, pregnant women need special attention for the prevention, diagnosis, and treatment of COVID-19.</p>
Historiografía de las mujeres en la educación: búsqueda de la mitad perdida
Authors: Hinojosa Luján Romelia 
Published: October 2020

La presencia de las mujeres ha sido invisibilizada en la historia de México, aunque se trate de la historiografía referida específicamente a un campo eminentemente femenino: el educativo. Constatar qué aspectos, prácticas, temas y referentes contextuales, desde qué elementos metodológicos y teóricos se han sistematizado, es uno de los objetivos de la elaboración de un Estado del Conocimiento de la investigación educativa. El referente geográfico fue el estado de Chihuahua. Fue necesario realizar una investigación hermenéutica para establecer la frontera del conocimiento y poder agendar acciones futuras de investigación.
El conocimiento especializado del docente de matemáticas
Authors: Hernández Gutiérrez Francisco Javier , Lizarde Flores Eugenio 
Published: October 2020

El objetivo de este estudio es caracterizar el Conocimiento Especializado del Profesor de Matemáticas (Carrillo, y otros, 2014) en el proceso de formación inicial de los futuros docentes de educación primaria en la Es- cuela Normal Rural “Gral. Matías Ramos Santos” en Zacatecas, México. Para ello, se realizó un estudio estadístico correlacional de Pearson con la aplicación de un cuestionario con reactivos Likert. La muestra consistió en 52 alumnos que cursan el cuarto semestre de la licenciatura. Los resultados mostraron una relación estadísticamente significativa en las correlaciones tanto en los niveles de dificultad de la enseñanza de los contenidos de matemáticas como en su aprendizaje.