bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrophysiological and Imaging Calcium Biomarkers of Aging in Male and Female 5×FAD Mice
Authors: Ghoweri Adam O. , Ouillette Lara , Frazier Hilaree N. , Anderson Katie L. , Lin Ruei-Lung , Gant John C. , Parent Rachel , Moore Shannon , Murphy Geoffrey G. , Thibault Olivier
Published: November 2020

Background: In animal models and tissue preparations, calcium dyshomeostasis is a biomarker of aging and Alzheimer’s disease that is associated with synaptic dysfunction, neuritic pruning, and dysregulated cellular processes. It is unclear, however, whether the onset of calcium dysregulation precedes, is concurrent with, or is the product of pathological cellular events (e.g., oxidation, amyloid-β production, and neuroinflammation). Further, neuronal calcium dysregulation is not always present in animal models of amyloidogenesis, questioning its reliability as a disease biomarker. Objective: Here, we directly tested for the presence of calcium dysregulation in dorsal hippocampal neurons in male and female 5×FAD mice on a C57BL/6 genetic background using sharp electrodes coupled with Oregon-green Bapta-1 imaging. We focused on three ages that coincide with the course of amyloid deposition: 1.5, 4, and 10 months old. Methods: Outcome variables included measures of the afterhyperpolarization, short-term synaptic plasticity, and calcium kinetics during synaptic activation. Quantitative analyses of spatial learning and memory were also conducted using the Morris water maze. Main effects of sex, age, and genotype were identified on measures of electrophysiology and calcium imaging. Results: Measures of resting Oregon-green Bapta-1 fluorescence showed significant reductions in the 5×FAD group compared to controls. Deficits in spatial memory, along with increases in Aβ load, were detectable at older ages, allowing us to test for temporal associations with the onset of calcium dysregulation. Conclusion: Our results provide evidence that reduced, rather than elevated, neuronal calcium is identified in this 5×FAD model and suggests that this surprising result may be a novel biomarker of AD.
A Community-Based Study Identifying Metabolic Biomarkers of Mild Cognitive Impairment and Alzheimer’s Disease Using Artificial Intelligence and Machine Learning
Authors: Yilmaz Ali , Ustun Ilyas , Ugur Zafer , Akyol Sumeyya , Hu William T. , Fiandaca Massimo S. , Mapstone Mark , Federoff Howard , Maddens Michael , Graham Stewart F.
Published: November 2020

Background: Currently, there is no objective, clinically available tool for the accurate diagnosis of Alzheimer’s disease (AD). There is a pressing need for a novel, minimally invasive, cost friendly, and easily accessible tool to diagnose AD, assess disease severity, and prognosticate course. Metabolomics is a promising tool for discovery of new, biologically, and clinically relevant biomarkers for AD detection and classification. Objective: Utilizing artificial intelligence and machine learning, we aim to assess whether a panel of metabolites as detected in plasma can be used as an objective and clinically feasible tool for the diagnosis of mild cognitive impairment (MCI) and AD. Methods: Using a community-based sample cohort acquired from different sites across the US, we adopted an approach combining Proton Nuclear Magnetic Resonance Spectroscopy (1H NMR), Liquid Chromatography coupled with Mass Spectrometry (LC-MS) and various machine learning statistical approaches to identify a biomarker panel capable of identifying those patients with AD and MCI from healthy controls. Results: Of the 212 measured metabolites, 5 were identified as optimal to discriminate between controls, and individuals with MCI or AD. Our models performed with AUC values in the range of 0.72–0.76, with the sensitivity and specificity values ranging from 0.75–0.85 and 0.69–0.81, respectively. Univariate and pathway analysis identified lipid metabolism as the most perturbed biochemical pathway in MCI and AD. Conclusion: A comprehensive method of acquiring metabolomics data, coupled with machine learning techniques, has identified a strong panel of diagnostic biomarkers capable of identifying individuals with MCI and AD. Further, our data confirm what other groups have reported, that lipid metabolism is significantly perturbed in those individuals suffering with dementia. This work may provide additional insight into AD pathogenesis and encourage more in-depth analysis of the AD lipidome.
Collaborative management and control of blockchain in cloud computing environment
Authors: Tang Guanghai , Zeng Hui
Published: November 2020

Cloud computing, as a product of the fusion and development of computer technology and Internet technology, not only realized the innovation of IT technology but also A major revolution in the IT business model will bring unprecedented and profound changes to the information industry. The main purpose of this article is to study the collaborative management and control method of blockchain in a cloud computing environment. This article mainly uses the blockchain consensus algorithm to analyze and research the blocking technology in the logistics supply chain, and solves the supplier’s benefit formula step by step; also uses the CloudBTF algorithm, Max-min algorithm, FCFS of cloud computing Algorithm, and compare the efficiency and security of the three methods to get the most conducive to the collaborative management and control of the blockchain. The experimental results of this paper show that blockchain collaborative management in a cloud computing environment can greatly improve the security of massive data storage and the collaborative distribution of data. Among them, the use of cloud computing platform priority algorithms can improve system load balancing by up to 12%, while Using the cloud computing platform FCFS algorithm can improve system load balancing by up to 15%.
Research on language analysis of English translation system based on fuzzy algorithm
Authors: Yuan Zhiqian , Jin Chaoyang , Chen Zhaojun
Published: November 2020

In recent years, with the rapid development of computer technology, the need for barrier-free communication between people of all countries have become more and more urgent. Therefore, it is extremely important to establish a high translation accuracy and high-quality English translation system. At present, Although the various English translation systems on the market have solved the communication problems between different languages to a certain extent, there are a series of problems such as language translation ambiguity and inaccurate use of words in translation methods, in order to improve English The translation accuracy of the translation system can improve the quality of the English translation system. This paper proposes a language analysis study of the English translation system based on fuzzy algorithms. The research of this paper firmly grasps the analysis and understanding of the language, analyzes it from the corpus, vocabulary, syntax, and translation characteristics, and fully understands its language characteristics, so as to eliminate the semantic understanding ambiguity in the translation process to a certain extent. Thereby improving the accuracy of the translation. The English translation system designed in this paper includes an image input module and an image recognition module, so the Gaussian blur algorithm is used for processing. The Gaussian blur algorithm can retain edge information in the edge area where the pixel value of the image changes sharply, and can effectively remove noise and enhance the image effect. Therefore, this article uses fuzzy algorithm-based English translation system language analysis research, first analyze the English language characteristics, and then use Gaussian fuzzy algorithm to denoise the image in the translation system, and then display the image recognition results.
Spatial intelligent decision system based on multidimensional network theory
Authors: Cao Ning , Miao Xiaoming , Zhang Juan
Published: November 2020

With the development of information technology and the reduction of storage equipment costs, a large number of databases have been able to create and store massive amounts of data. How to use this data to provide guidance and advice for business decisions is a difficult problem that decision analysis systems need to solve. This paper designs a new multi-dimensional heterogeneous network information model, defines the binary relational meta-path in the heterogeneous network and the n-ary relational meta-path, and studies the relationship of these meta-paths as a new way to guide network aggregation. An intelligent emergency decision support system based on the GIS platform and the concept of the plan library was established. The system adopts the method of artificial intelligence and GIS technology to complete the management, analysis and processing of map space data, and realizes the rapid and automatic generation of emergency decision-making. Finally, through experiments on large-scale real and simulated data, it is verified that the system can effectively and efficiently analyze large-scale multi-dimensional heterogeneous networks.
Research and analysis of stiffness-enhanced soft gripper
Authors: Tian Hui , Zhang Zhujun , Yuan Zhihua , Liu Xiaochan , Qi Yuyan , Wang Zhenguo , Wang Liang
Published: November 2020

In view of the problems of low stiffness, small driving force and large balloon effect existing in the current soft actuator, this paper proposes an optimization method to enhance the overall stiffness of the soft gripper by using rigid components based on the multi-cavity soft pneumatic actuator. This paper introduces the main components of the actuator: the soft part poured by liquid silica gel, and the open rectangular rigid structures by 3D printed. The kinematics model of the finger is established based on the Piecewise Constant Curvature model(PCC). The bending performance of the enhanced stiffness gripper is verified by finite element analysis(FEA): the tip force of actuator increased with the increase of the number of rigid structures when the bending angle is constant. According to the and experimental data, the overall stiffness of soft gripper is increased by the rigid structure without affecting the flexibility of operation. And the maximum weight which can grasp is 3.4 times that of the traditional soft gripper, improved the grasping range of the soft gripper effectively.
Virtual design of urban planning based on GIS big data and machine learning
Authors: Zhu Bin , Zhou Jie
Published: November 2020

In order to build a virtual urban planning model and improve the effect of urban planning, this paper builds a virtual urban planning design model based on GIS big data technology and machine learning algorithms, and proposes a solution that combines multiple features. With the development of polarized SAR in the direction of high resolution, a single feature often cannot fully express the detailed information of ground objects, resulting in poor classification results and low accuracy. The combination of multiple features can express feature information well. In addition, this paper uses the ELM method to plan SAR ground object classification, uses an extreme learning machine classification algorithm with fast learning speed and good classification effect, and uses ELM as a classifier. Finally, this paper designs experiments to explore the performance of the model constructed in this paper from two aspects: detection accuracy and planning score. The research results show that the model constructed in this paper meets the expected goals.
Research on air pollution system based on neural network
Authors: Jiang Zhiqi , Wang Xidong
Published: November 2020

This paper conducts in-depth research and analysis on the commonly used models in the simulation process of air pollutant diffusion. Combining with the actual needs of air pollution, this paper builds an air pollution system model based on neural network based on neural network algorithm, and proposes an image classification method based on deep learning and Gaussian aggregation coding. Moreover, this paper proposes a Gaussian aggregation coding layer to encode image features extracted by deep convolutional neural networks. Learn a fixed-size dictionary to represent the features of the image for final classification. In addition, this paper constructs an air pollution monitoring system based on the actual needs of the air system. Finally, this article designs a controlled experiment to verify the model proposed in this article, uses mathematical statistics to process data, and scientifically analyze the statistical results. The research results show that the model constructed in this paper has a certain effect.
Multi-depot open vehicle routing problem with fuzzy time windows
Authors: Diao Xiaolong , Fan Houming , Ren Xiaoxue , Liu Chuanying
Published: November 2020

This paper presents one method and one hybrid genetic algorithm for multi-depot open vehicle routing problem with fuzzy time windows (MDOVRPFTW) without maximum time windows. For the method, the degree of customers’ willingness to accept goods (DCWAG) is firstly proposed, it’s one fuzzy vague and determines maximum time windows. Referring to methods to determine fuzzy membership function, the function between DCWAG and the starting service time is constructed. By setting an threshold for DCWAG, the starting service time that the threshold corresponds can be treated as the maximum time window, which meets the actual situation. The goal of the model is to minimize the total cost. For the algorithm, MDOVRPFTW without maximum time windows is an extension of the NP-hard problem, the hybrid genetic algorithm was designed, which is combination of genetic algorithm and Hungarian algorithm. When the hybrid genetic algorithm applied to one pharmaceutical logistics company in Beijing City, China, one optimal scheme is determined. Then the rationality and the stability of solutions by the hybrid genetic algorithm are proved. Finally, sensitivity analyses are performed to investigate the impact of someone factor on DCWAG and some suggestions are proposed.
Independent document ranking for E-learning using semantic-based document term classification
Authors: Mannar Mannan J. , Sindhanai Selvan K. , Mohemmed Yousuf R.
Published: November 2020

Massive digital documents on Internet leading to use e-learning, and it becomes an emerging field of research due to the massive growth of internet users. E-learning requires suitable document ranking method to avoid navigating to the next Search Engine Result Page (SERP) frequently. The existing document ranking methods are lacking to rank the documents independently based on the conceptual contents. This paper proposes a novel method for ranking the documents independently based on the different classification of term it contains. In this approach, the terms are classified into five categories such as (1) direct query term, (2) expanded terms, (3) semantically related term, (4) supporting terms and (5) stop words. The query has been expanded using domain ontology to acquire more semantic terms for better understanding of user query. The semantic weight has been applied independently over different categories of terms in a document for ranking. The document with the highest augmented value in each category of terms has been ranked first. Remaining documents are ranked in the same way and are arranged in the descending order. The WordNet tool is utilized as a knowledge base and Wu and Palmer semantic distance method have applied for measuring semantic distance between the query and document terms for ranking the terms. The experiments show that the performance of the proposed document ranking method for e-learning retrieved better document compared with existing document ranking methods.
Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India
Authors: Das Kousik , Naseem Usman , Samanta Sovan , Khan Shah Khalid , De Kajal
Published: November 2020

In the recent phenomenon of social networks, both online and offline, two nodes may be connected, but they may not follow each other. Thus there are two separate links to be given to capture the notion. Directed links are given if the nodes follow each other, and undirected links represent the regular connections (without following). Thus, this network may have both types of relationships/ links simultaneously. This type of network can be represented by mixed graphs. But, uncertainties in following and connectedness exist in complex systems. To capture the uncertainties, fuzzy mixed graphs are introduced in this article. Some operations, completeness, and regularity and few other properties of fuzzy mixed graphs are explained. Representation of fuzzy mixed graphs as matrix and isomorphism theorems on fuzzy mixed graphs are developed. A network of COVID19 affected areas in India are assumed, and central regions are identified as per the proposed theory.
RETRACTED: Optimization method of emergency logistics network in the initial post-earthquake stage considering multiple factors and the case analysis
Authors: Xu Junxiang , Guo Jingni , Zhang Jin , Sun Yongdong , Liu Weihua , Ma Hui
Published: November 2020

This article has been retracted, and the online PDF has been watermarked “RETRACTED”. The retraction notice is available at http://doi.org/10.3233/IFS-219216.
Functional improvement related to enrolment in a Parkinson’s disease rehabilitation program
Authors: Chow Beverley , Feloiu Florin , Berardocco Assunta , Ceglie David , Nesathurai Shanker
Published: November 2020

BACKGROUND: Parkinson’s disease (PD) is a progressive neurodegenerative disorder with manifestations such as tremors, rigidity and bradykinesia. OBJECTIVE: The objective of this study was to evaluate the efficacy of outpatient multidisciplinary rehabilitation. METHODS: 179 patients participated in the six-week program. The following outcomes were measured: Timed Up and Go (TUG), sit to stand five times (STSx5) and in 30 seconds (STS30), six minute walk distance (6MWD) and gait velocity (6MWV), MOCA, bilateral grip strength, 360-degree turn (360 R, 360 L) and bilateral nine hole peg test. Pre- and post- data was analyzed via paired t-tests. Multiple regression was used to determine age- or gender-affected outcomes. RESULTS: Patients showed a statistically significant improvement (p < 0.05) in all outcomes. Mean TUG improved by 1.63 seconds (s), STSx5 by 4.19s, STS30 by 2.37 repetitions, 6MWD by 66.8 metres, 6MWV by 0.15 m/s, MOCA by 1.50 points, 360 R by 1.17s, 360 L by 1.60s, Grip R by 0.78 kg, Grip L by 0.95 kg, 9HP R by 1.71s and 9HP L by 1.58s. Gender had no influence. Age was a statistically significant predictor in STSx5 and 6MW. CONCLUSIONS: An outpatient multidisciplinary program successfully decreased motor impairment and increased overall functional independence in PD.
Fall-related cognition, motor function, functional ability, and depression measures in older adults with dementia
Authors: Park Hyun-Ju , Lee Nam-Gi , Kang Tae-Woo
Published: November 2020

BACKGROUND: As the severity of dementia progresses over time, cognition and motor functions such as muscle strength, balance, and gait are disturbed, and they eventually increase the risk of fall in patients with dementia. OBJECTIVE: To determine the relationship between the fall risk and cognition, motor function, functional ability, and depression in older adults with dementia. METHODS: Seventy-four older adults diagnosed with dementia were recruited. Clinical measurements included the Fall Risk Scale by Huh (FSH), Korean version of the Mini-Mental State Examination (MMSE-K), hand grip strength (HGS), Tinetti Performance Oriented Mobility Assessment (POMA), 10-m walk test (10-MWT), Korean version of the Modified Barthel Index (MBI-K), and the Geriatric Depression Scale (GDS). RESUTLS: The MMSE-K was significantly correlated with the FSH, HGS, and the MBI-K, and FSH was significantly correlated with all of the other outcome measures. In particular, the MMSE-K, HGS, POMA, and the MBI-K were negatively correlated with fall history among the FHS sub-items. Additionally, the MMSE sub-item, attention/concentration was associated with the FSH, HGS, POMA, and the MBI-K. CONCLUSIONS: These findings suggest that falling is significantly related to impaired cognition, reduced muscle strength, impaired balance, gait, and activities of daily living abilities, and depression in older adults with dementia.
Physical performance outcome measures used in exercise interventions for adults with childhood-onset disabilities: A scoping review
Authors: Song Jessica Z. , Catizzone Margot , Arbour-Nicitopoulos Kelly P. , Luong Dorothy , Perrier Laure , Bayley Mark , Munce Sarah E.P.
Published: November 2020

BACKGROUND: People with childhood-onset disabilities face unique physical and social challenges in adulthood. Exercise interventions may improve physical performance in children, but there is a lack of research on adults. OBJECTIVE: To describe studies that investigate exercise interventions and to evaluate the quality of physical performance outcome measures for adults with childhood-onset disabilities. METHODS: Eligible studies reported on exercise interventions for adults (ages 16+) with cerebral palsy, spina bifida, or acquired brain injuries. Only randomized controlled trials published in English from 2008 to 2019 were included. MEDLINE, CINAHL, PEDro, EMBASE, and Cochrane Central Register of Controlled Trials were searched. Two reviewers independently screened studies and abstracted data. RESULTS: This scoping review included 4 trials reporting on cerebral palsy only. Three strength training programs found significant improvements in gait, and one mixed training program found significant improvements in strength and fitness. Only two outcome measures used are valid/reliable for adults (6 Minute Walk Test and Borg-20 Grades). CONCLUSION: Certain interventions may improve physical performance, but there is a lack of research on appropriate exercise interventions and physical performance outcome measures for adults with childhood-onset disabilities. Different exercise interventions should be investigated using larger sample sizes and outcome measures should be standardized.
Experience of Animal Assisted Therapy in Pediatric Dentistry Unit
Authors: González Jara Matías , Rivera Gómez Darling , Salazar Zúniga Francisca , Norambuena Norambuena Scarlette , Valle Maluenda Marcelo , Salinas Zañartu Nathalia
Published: November 2020

Children and youth with special health care needs, belongs to a group of individuals presenting several health issues of variable complexity and special care needs in health, one of them a successful dental treatment. The high prevalence of oral pathologies is not the only complication we found in dental attention; there are also behaviour and communication disorders, affecting the cooperation level in dental treatment. In spite of the limitations previously mentioned, different adaptations and techniques have surged in order to achieve a successful dental treatment. In this article we describe animal assisted therapy as a useful complementary method for pediatric dental treatment. Objective: Describe the experience of animal assisted therapy in pediatric dentistry treatment of children and youth with special health care needs. Methods: Descriptive-retrospective study performed in 2019, revision of 32 clinical digital records of Hospital, of children and youth with special health care needs, ages between 4-13 years old, and their pediatric dentistry treatment records with animal assisted therapy. Results: 32 patients with dental treatment, in 26 patients (81.25%) dental treatment was successful; 36 dental procedures were performed, 19 invasive and 17 non invasive. Conclusion: The implementation of animal assisted therapy as a complement of pediatric dentistry treatment had a high acceptance and allowed successful invasive and non invasive dental procedures in children and youth with special health care needs.
(She)cession: The Colombian female staircase fall.
Authors: García-Rojas Karen , Herrera-Idárraga Paula , Morales Leonardo Fabio , Ramírez-Bustamante Natalia , Tribín-Uribe Ana María
Published: November 2020

This article seeks to analyze the Colombian labor market during the COVID-19 crisis to explore its effect on labor market gender gaps. The country offers an interesting setting for analysis because, as most countries in the Global South, it has an employment market that combines formal and informal labor, which complicates the nature of the pandemic's aftermath. Our exploration offers an analysis that highlights the crisis's effects as in a downward staircase fall that mainly affects women compared to men. We document a phenomenon that we will call a "female staircase fall." Women lose status in the labor market; the formal female workers' transition to informal jobs, occupied women fall to unemployment, and the unemployed go to inactivity; therefore, more and more women are relegated to domestic work. We also study how women’s burden of unpaid care has increased due to the crisis, affecting their participation in paid employment.
Informe de Política Monetaria - Octubre de 2020
Authors:   Gerencia Técnica
Published: November 2020

Los datos recientes de actividad económica, inflación y mercado laboral sugieren que sus tendencias han estado acorde con la valoración del equipo técnico sobre el estado de la economía y su evolución esperada, caracterizada por una caída en la demanda y la persistencia de amplios excesos de capacidad productiva. La fuerte caída proyectada del producto se materializó en el segundo trimestre, hecho que ha contribuido a un descenso de la inflación por debajo de la meta del 3% y se ha visto reflejado en un fuerte deterioro del mercado laboral. Para lo que resta del presente y durante el siguiente año se sigue esperando una lenta recuperación del producto y del empleo, junto con una inflación creciente, pero inferior a la meta. En 2020 la economía colombiana registraría una fuerte recesión (caída del PIB del 7,6%), menor que la proyectada en el informe pasado (caída del PIB del 8,5%). A partir del segundo semestre los niveles del producto se recuperarían de forma lenta, sin alcanzar en 2021 los valores previos a la pandemia, y en un entorno de amplia incertidumbre. La caída del producto del primer semestre del año resultó menor que la estimada, debido a la revisión al alza del PIB del primer trimestre y por una contracción en el segundo (-15,5%) más leve que la proyectada (-16,5%). Los indicadores disponibles de actividad económica sugieren que la caída anual del PIB para el tercer trimestre estaría alrededor del 9%. Para lo que resta del año y en 2021 se supone que no habrá una aceleración importante de los contagios del Covid-19 que impliquen un endurecimiento de las medidas de distanciamiento social que afecten de manera importante la actividad económica. Con esto, la apertura gradual de la economía continuaría y la oferta de los sectores más afectados por la pandemia se iría recuperando de forma lenta en la medida en que la flexibilización de las restricciones siga avanzando. Por el lado del gasto, la mejora en la confianza de los hogares, la demanda represada de varios bienes y servicios, los mayores niveles esperados de demanda externa y las bajas tasas reales de interés contribuirían a la recuperación del nivel del producto. A lo anterior se suma una base baja de comparación, que explicaría gran parte del aumento del PIB en 2021. Con todo esto, se espera que el crecimiento económico para 2020 se sitúe entre un -9% y -6,5%, con un -7,6% como valor central. Para 2021 se proyecta un crecimiento entre el 3% y 7%, con un 4,6% como valor central (Gráfico 1.1). Frente al informe de julio, la revisión al alza en las proyecciones de actividad económica incorpora la menor caída observada en el primer semestre y una recuperación algo más rápida que la esperada para el tercer trimestre en algunos sectores económicos. Los intervalos de pronóstico de crecimiento para 2020 y 2021 se redujeron, pero siguen siendo amplios y reflejan la elevada incertidumbre que se tiene sobre la evolución de la pandemia, las posibles medidas necesarias para enfrentarla y sus efectos sobre la actividad económica mundial y local.
Reporte de la situación del crédito en Colombia - Septiembre de 2020
Authors:   Departamento de Estabilidad Financiera del Banco de la República
Published: November 2020

Este reporte presenta los resultados de la Encuesta trimestral sobre la situación del crédito en Colombia, en la que participan los intermediarios financieros que realizan operaciones de crédito, como bancos, compañías de financiamiento (CFC) y cooperativas financieras (cooperativas). El objetivo de este informe es analizar la percepción que tienen las entidades sobre la oferta, la demanda y el acceso al crédito, los cambios en las políticas de asignación en el corto plazo y las expectativas que tienen los intermediarios financieros para el próximo trimestre. Además de presentar el comportamiento de las modificaciones y reestructuraciones de los créditos. El presente documento está compuesto por cinco secciones. La primera analiza el panorama general de la situación del crédito, centrándose en las percepciones que tienen los EC con respecto a su demanda y oferta. La segunda se enfoca en la situación sectorial. En la tercera sección se analizan en detalle los cambios en la oferta y las políticas de asignación de nuevos créditos. La cuarta presenta los principales resultados sobre modificaciones y reestructuración de préstamos. Finalmente, en la quinta sección se incluyen algunos comentarios generales que resumen la situación actual del crédito en Colombia.
Warfare Ecology Approaches in Issues of Military Operations
Authors: Leskó György
Published: November 2020

The fulfilment of environmental protection requirements and social expectations has become a requirement in the field of military operations as well. Impacts that threaten the ecosystems increasingly occur during the activities of the armed forces and military operations. A recently created new field of science, the ecology of warfare, investigates the military, the support systems for the armed forces and national defence, and their relation to the environment as living systems above the level of the individual (like human ecology). Ecology of warfare examines habitats, the relationship between organisms and the environment in the military field. The capability-based, mission-based, coordinated (target, place and time) ability to use military forces has an impact on the ecology. The analysis of the place and role of military operations from the perspective of the ecology of warfare is an important, timely issue. In the study, the author analyses the tasks required for planning, organising and conducting a military operation and their relationship to environmental protection.
Advanced Issues of the Radar Conference in Boston, 2019
Authors: Balajti István
Published: November 2020

The modernisation of the Hungarian Army and the success of the Zrínyi 2026 Programme basically depend on the understanding and professional lifecycle-support of the latest technologies. Consequently, it is a priority to collect, evaluate and transfer advanced research findings and collected expertise on the concepts related to sensors, including Radars. The software modules define the quality, while the flexibility of the interfaces determine the efficiency of the signal and data processing of the information of different sensor types. The software-based solutions play a key role in the artificial intelligence supported cognitive data processing and the effectiveness of the soldiers or decision-making commanders. This article summarises the most recent results of the radar-related research, taking into account domestic and Eastern European expectations.
Individualization of teaching mathematical logic in the electronic environment
Authors:   Siberian Federal University, Vainshtein Yulia V. , Esin Roman V. ,   Siberian Federal University, Shershneva Victoria A. ,   Siberian Federal University
Published: November 2020

The rapid development of digital technologies and the direction of education modernization, which takes into account the individual characteristics of students, allows us to talk about the need to ensure the individualization of the educational process in the electronic information and educational environment. Adaptive e-learning courses are a promising means of individualizing the educational process, providing the construction of individual learning trajectory based on the level of academic performance, perceptual modality and the level of student activity in the electronic environment. The experimental work was among students of the program 09.03.02 "Information systems and technologies" of the Siberian Federal University. The experiment involved 115 students in the study of the discipline "Mathematical Logic". Analysis of observations and evaluating the effectiveness of adaptive e-learning course in the educational process was carried out using the Kruskal–Wallis test by ranks. As a result of the experiment, it was revealed that at the beginning of the experiment there were no statistically significant differences in the groups (χ2 = 0,26005, p = 0,6101), at the end of the experiment, p < significance value 0,05 (Kruskal-Wallis χ2 = 127,57, p <0,001). This indicates that the compared groups are significantly different and the experimental hypothesis about the effectiveness of introducing the developed adaptive e-learning course into the educational process is confirmed. These results demonstrate that the introduction of adaptive e-learning courses, which ensure the construction of learning trajectories, into the educational process, is effective and has a good potential for the individualization of teaching mathematical logic in an electronic information and educational environment.
Using collective activities in the development of speech in children of older preschool and primary school age
Authors:   State Humanitarian and Technological University, Izmailova Rania G. , Sheinova Tatiana G. ,   State Humanitarian and Technological University, Timokhina Tatiana V. ,   State Humanitarian and Technological University
Published: November 2020

Introduction. The number of children with speech disorders increases from year to year. Work on the development of speech at preschool and school educational organizations is not always planned, systematic, and coherent. This composite group of children is insufficiently studied in pedagogical science and practice. In classes on speech development and children’s independent activity, not enough time is devoted to collective activities. Materials and methods. The pilot study involved 147 children from four preparatory groups and two first grades of the elementary school in Orekhovo-Zuevo (Moscow Region, Russian Federation). The following research methods were used: analysis of foreign and domestic scientific literature, survey, and experimental research. The results were compared using Pearson's chi-squared test χ2. The study used the authors' toolkit adjusted for the conditions of the experiment. Results. The study showed a fairly high quality of the toolkit prepared for testing. Initially, the groups of respondents showed a low level of speech development – 47% (69 children), an average level – 51% (75 children), and a high level – 2% (3 children). Collective activities were widely used at the formative stage during class time and after classes. The results of the control stage (low level 8.1%, average 47.3%, high 44.6% of children) convincingly demonstrate the effectiveness of using collective activities in speech development (χ2 = 96.813; p < 0.01). Discussion and conclusion. The toolkit chosen for collecting primary information was shown to be of sufficient quality. The study showed the effectiveness of using active social and psychological education methods (in particular, Olympiads, creative workshops, creative weeks, collective creative activities) by teachers of pre-school educational organizations and primary school teachers to develop children's speech. An important condition for the development of speech in children of older preschool and primary school age is using collective activities, insufficiently studied in Russia and abroad, in the pedagogical process.
Parent’s participation in the education of their children and in the school's educational policy
Authors:   The St-Petersburg academy of postgraduate pedagogical education, Belousov Konstantin Y. , Matyushkina Marina D. ,   The St-Petersburg academy of postgraduate pedagogical education
Published: November 2020

Introduction. The discourse that has unfolded recently about the future of the school, about the difficult relationship between the school and the parents of students, about the difficulties of introducing state-public administration has led to the need for a scientific understanding of the position of modern parents regarding the education of their own child and in the broader context of their participation in educational policy. The main goal of this theoretical article is to analyze the current features of the interaction between school and family and to build a comprehensive model for the participation of parents in the education of their children and in the educational policy of the school. Methodology and methods. The study refers to the comparative analysis and generalization of the results of the specialized and comprehensive scientific data, dedicated to the problems of parental positions in mutual relations with the school. Methodology of research composed of complex approach, detailed and subjective approaches, semantic analysis of central points, synthesis of positions and partial models, proposed different researchers. Results and scientific novelty. In the course of the work, studies were analyzed on the problems of interaction between parents and schools, the concepts of “parental involvement/participation”, “educational policy and its subjects”. The created model reveals the personal and institutional aspects of parental participation, taking into account the different levels of subjectivity of the participants in the interaction. The novelty of the proposed model lies in the fact that it compares two types of participation: participation in the construction of the child's educational space and participation in the educational policy of the school. At the same time, three groups of factors are identified that determine the nature of participation: “subjects” of participation or interest of parents, based on their idea of the quality of education; communication channels, ways of interaction between educational subjects; socio-psychological “motivators” for participation. Practical significance. The resulting model allows the school to purposefully adjust the processes of interaction with parents. The model also serves as the basis for empirical research to identify the conditions for effective family-school cooperation and its impact on the child's school well-being and educational achievement.
Effects of holistic socialization-individualization of preschool children with severe speech impairments in sports and health-improving activities
Authors:   Belgorod State National Research University, Panasenko Karina E. , Voloshina Lyudmila N. ,   Belgorod State National Research University, Shinkareva Lyudmila V. ,   Belgorod State National Research University, Galimskaya Olga G. ,   Belgorod State National Research University
Published: November 2020

The urgency of this problem is due, on the one hand, to the need to include children with severe speech impairments in the educational space of Childhood, taking into account their special educational needs, on the other hand, to the need to shift the emphasis both in theoretical research and pedagogical practice towards ensuring the integrity of socialization-individualization. The research purpose was to identify and assess the effects of holistic socialization-individualization of preschoolers with severe speech impairments in sports and health-improving activities. The experimental study involved 100 senior preschool children with a normal level of speech development and 100 senior preschool children with severe speech impairments attending preschool educational institutions in Belgorod and the Belgorod region (Russian Federation). Theoretical (analysis of literary scientific sources), empirical (pedagogical experiment (ascertaining stage), testing) research methods, as well as methods of mathematical statistics (Student’s t-test, Fisher’s φ-test) were used. The study and assessment of the effects of holistic socialization-individualization of senior preschool children with severe speech impairments in sports and health-improving activities were carried out in the following fields – communication, self-awareness, activity. During the study, statistically valid differences were obtained in the level of self-esteem of preschool children (φemp=2.595 > φcrit=2.31 with p<0.01); self-assessment by parameter “Strong” (φemp=2.574 > φcrit=2.31 with p<0.01), “Fast” (φemp=2.715 > φcrit=2.31 with p<0.01), “Accuracy” (φemp=2.567 > φcrit=2.31 with p<0.01), “Dexterous” (φemp=2.56 > φcrit=2.31 with p<0.01), “Flexibility” (φemp=2.85 > φcrit=2.31 with p<0.01); by the level of anxiety (φemp=2.517 > φcrit=2.31 with p<0.01). The assessment of motor abilities (motor-coordination, speed-power, strength, flexibility, accuracy, endurance) of senior preschool children made it possible to reveal statistically valid differences between the data of children with a normal level of speech development and children with severe speech disorders (p<0.05). The obtained research results confirm the data presented in the works of domestic and foreign scientists, and the need to substantiate the use of the potential of sports and health-improving activity in solving the research problem.
Level of memory development as a factor of successful actualization of knowledge of schoolchildren of youth age
Authors:   State University of Humanities and Technology, Osinina Tatiana N. , Ustseva Maria N. ,   State University of Humanities and Technology
Published: November 2020

In connection with the introduction in Russian Federation of state final certification, the study of the effectiveness and level of development of students' memory and its impact on the success of passing the final school exam is becoming increasingly relevant. The material of the experiment, which is conducted in schools in the city of Orekhovo-Zuyevo, examines the process and results of updating the knowledge of students. The study involved 42 students of the Orekhovo-Zuyevo city district, Moscow Region. The technique of diagnostics of mnemonic abilities of L.V. Cheremoshkina. Statistical analysis was performed using the Spearman rs-rank correlation test, Mann-Whitney U-test. The patterns of updating knowledge at the final school exams for schoolchildren with different productivity of natural memory, the level of implementation of mnemonic actions and the presence of regulation of cognitive activity are analyzed. The level of memory development is associated with the success of schoolchildren passing the state final certification in mathematics, computer science and social studies. The productivity of natural memory is a factor in the successful updating of knowledge in mathematics and computer science (rs=-0,75; р<0,05). The presence of regulation of mnemonic activity is a factor in the effective actualization of knowledge in social science (rs=0,41; р<0,05) The results of the study allow, on the other hand, to look at the problem of preserving educational material, emphasizing the practical importance of psychological studies of memory, and can be used in the implementation of the educational process at all levels of general education, starting from the programming stage and ending with each specific lesson.
Psychological resistance of student youth to information stress in the COVID-19 pandemic
Authors:   Russian State Social University, Kislyakov Pavel A.
Published: November 2020

Introduction. Self-isolation, accompanied by intensive inclusion in the digital information environment, has led to a deterioration in students’ psychological well-being and the emergence of information stress. Information stress is associated with the compulsive use of social networks, viewing aggressive news content, disseminating misinformation. The purpose of the study was to study the features of information behavior, psychological stability and ways to cope with information stress for Russian students during the COVID-19 pandemic. Study participants and methods. The sample consisted of 218 students from Moscow and Ivanovo aged 18 to 26 (M=19.5) (33% men, 67% women). A specially developed questionnaire was used to identify the features of students’ information behavior during the COVID-19 pandemic; to assess psychological stability and determine coping strategies in conditions of information stress, the methodology “Questionnaire of Coping Methods” (QCM) was used (R. Lazarus, S. Folkman, in Russian-language adaptation by T.L. Kryukova, E.V. Kuftyak, M.S. Zamyshlyaeva). Results and scientific novelty. The cluster analysis allowed identifying four types of students’ information behavior during the COVID-19 pandemic: phobic (20%), cognitive (45%), nihilistic (20%) and circulating behavior (15%). To a greater extent, in order to cope with information stress during the COVID-19 pandemic, student youth use constructive coping strategies for planning (xave = 58.5±21.7), positive reassessment (xave = 51.9±19.3), self-control (xave = 47.5±17.8), characterized by a purposeful analysis of the situation and possible behavior options, including the determination of personal development directions. Besides, a significant part of students resort to the use of destructive coping strategies of avoidance, confrontation, distancing, caused by negative experiences, leading to the circulation of unofficial information about the pandemic. Half of the respondents need social support. The regression analysis made it possible to identify predictors of psychological resistance (coping strategies) to information stress during the COVID-19 pandemic. Practical significance. The identified types of information behavior can be used in educational work with students and their psychological support in order to personalize the communicative impact, as well as in the monitoring system of students’ psychological state and their perception of risks, the level of awareness and trust in the information received, the adoption of established rules and the willingness to follow them.