bluuebunny/crossref_metadata_2025 huggingface dataset:
The Association Between Homocysteine and Memory in Older Adults
Authors: Nelson Monica E. , Andel Ross , Nedelska Zuzana , Martinkova Julie , Cechova Katerina , Markova Hana , Matuskova Veronika , Nikolai Tomas , Lerch Ondrej , Parizkova Martina , Laczo Jan , Vyhnalek Martin , Hort Jakub
Published: March 2021

Background: Identifying modifiable risk factors for cognitive decline can reduce burden of dementia. Objective: We examined whether homocysteine was associated with memory performance, mediated by entorhinal volume, hippocampal volume, total gray matter volume, or white matter lesions, and moderated by APOE ɛ4 allele, B vitamins, creatinine, total cholesterol, or triglycerides. Methods: All 204 members of the Czech Brain Aging Study with subjective cognitive decline (SCD; n = 60) or amnestic mild cognitive impairment (aMCI; n = 144) who had valid data were included. Linear regression was used, followed by conditional process modeling to examine mediation and moderation. Results: Controlling for age, sex, and education, higher homocysteine was related to poorer memory performance overall (b = –0.03, SE = 0.01, p = 0.017) and in participants with SCD (b = –0.06, SE = 0.03, p = 0.029), but less so in aMCI (b = –0.03, SE = 0.02, p = 0.074); though sensitivity analyses revealed a significant association when sample was reduced to aMCI patients with more complete cognitive data (who were also better functioning; b = –0.04, SE = 0.02, p = 0.022). Results were unchanged in fully adjusted models. Neither mediation by markers of brain integrity nor moderation by APOE ɛ4, B vitamins, creatinine, and cardiovascular factors were significant. Memory sub-analyses revealed that results for SCD were likely driven by non-verbal memory. The homocysteine-memory relationship was significant when hippocampal volume was below the median (b = –0.04, SE = 0.02, p = 0.046), but not at/above the median (p = 0.247). Conclusion: Higher homocysteine levels may adversely influence memory performance, which appears particularly apparent in those without cognitive impairment. Results appear to be independent of brain health, suggesting that homocysteine may represent a good target for intervention.
Impact of Social Isolation on People with Dementia and Their Family Caregivers
Authors: Azevedo Lílian Viana dos Santos , Calandri Ismael Luis , Slachevsky Andrea , Graviotto Héctor Gastón , Vieira Maria Carolina Santos , Andrade Caíssa Bezerra de , Rossetti Adriana Peredo , Generoso Alana Barroso , Carmona Karoline Carvalho , Pinto Ludmilla Aparecida Cardoso , Sorbara Marcos , Pinto Alejandra , Guajardo Tania , Olavarria Loreto , Thumala Daniela , Crivelli Lucía , Vivas Ludmila , Allegri Ricardo Francisco , Barbosa Maira Tonidandel , Serrano Cecilia M. , Miranda-Castillo Claudia , Caramelli Paulo
Published: March 2021

Background: People with dementia and their family caregivers may face a great burden through social isolation due to the COVID-19 pandemic, which can be manifested as various behavioral and clinical symptoms. Objective: To investigate the impacts of social isolation due to the COVID-19 pandemic on individuals with dementia and their family caregivers. Methods: Two semi-structured questionnaires were applied via telephone to family caregivers of people diagnosed with dementia in three cities in Argentina, Brazil, and Chile, in order to assess clinical and behavioral changes in people with dementia and in their caregivers. Results: In general, 321 interviews were conducted. A significant decline in memory function has been reported among 53.0%of people with dementia. In addition, 31.2%of individuals with dementia felt sadder and 37.4%had increased anxiety symptoms. These symptoms of anxiety were greater in individuals with mild to moderate dementia, while symptoms of agitation were greater in individuals with severe dementia. Moreover, compulsive-obsessive behavior, hallucinations, increased forgetfulness, altered appetite, and increased difficulty in activities of daily living were reported more frequently among individuals with moderate to severe dementia. Caregivers reported feeling more tired and overwhelmed during this period and these symptoms were also influenced by the severity of dementia. Conclusion: Social isolation during the COVID-19 pandemic triggered a series of negative behavioral repercussions, both for people with dementia and for their family caregivers in these three South American countries.
Neoline Improves Memory Impairment and Reduces Amyloid-β Level and Tau Phosphorylation Through AMPK Activation in the Mouse Alzheimer’s Disease Model
Authors: Liu Quan Feng , Kanmani Suganya , Lee Jinhyuk , Kim Geun-Woo , Jeon Songhee , Koo Byung-Soo
Published: March 2021

Background: Alzheimer’s disease (AD) is the most general, chronic, and progressive neurodegenerative senile disorder characterized clinically by progressive cognitive deterioration and memory impairment. Neoline is effective against neuropathic pain models, but the effects of neoline against AD-like phenotypes have not been investigated. Objective: We offer the investigation of the effects of neoline in AD. Methods: In this study, a Tg-APPswe/PS1dE9 AD mouse model was treated orally with neoline at a concentration of 0.5 mg/kg or 0.1 mg/kg starting at 7.5 months and administered for three months, and its anti-AD effects were evaluated. Results: Neoline improved memory and cognition impairments and reduced the number of amyloid-beta plaque and the amount of amyloid-β in the brain of AD mice. Furthermore, neoline reduced the anxiety behavior in the AD mouse model. The chronic administration of neoline also induced AMPK phosphorylation and decreased tau, amyloid-β, and BACE1 expression in the hippocampus. These findings indicate that chronic administration of neoline has therapeutic effects via AMPK activation, and BACE1 downregulation resulted in a decrease in the amyloid-β levels in the brain of Tg-APPswe/PS1dE9 AD mice. Conclusion: Our results suggest that neoline is a therapeutic agent for the cure of neurodegenerative diseases like AD.
Plasma Apolipoprotein E3 and Glucose Levels Are Associated in APOE ɛ3/ɛ4 Carriers
Authors: Edlund Anna K. , Chen Kewei , Lee Wendy , Protas Hillary , Su Yi , Reiman Eric , Caselli Richard , Nielsen Henrietta M.
Published: March 2021

Background: Altered cerebral glucose metabolism, especially prominent in APOE ɛ4 carriers, occurs years prior to symptoms in Alzheimer’s disease (AD). We recently found an association between a higher ratio of plasma apolipoprotein E4 (apoE4) over apoE3, and cerebral glucose hypometabolism in cognitively healthy APOE ɛ3/ɛ4 subjects. Plasma apoE does not cross the blood-brain barrier, hence we speculate that apoE is linked to peripheral glucose metabolism which is known to affect glucose metabolism in the brain. Objective: Explore potential associations between levels of plasma insulin and glucose with previously acquired plasma apoE, cerebral metabolic rate of glucose (CMRgl), gray matter volume, and neuropsychological test scores. Methods: Plasma insulin and glucose levels were determined by ELISA and a glucose oxidase assay whereas apoE levels were earlier quantified by mass-spectrometry in 128 cognitively healthy APOE ɛ3/ɛ4 subjects. Twenty-five study subjects had previously undergone FDG-PET and structural MRI. Results: Lower plasma apoE3 associated with higher plasma glucose but not insulin in male subjects and subjects with a body mass index above 25. Negative correlations were found between plasma glucose and CMRgl in the left prefrontal and bilateral occipital regions. These associations may have functional implications since glucose levels in turn were negatively associated with neuropsychological test scores. Conclusion: Plasma apoE3 but not apoE4 may be involved in insulin-independent processes governing plasma glucose levels. Higher plasma glucose, which negatively affects brain glucose metabolism, was associated with lower plasma apoE levels in APOE ɛ3/ɛ4 subjects. High plasma glucose and low apoE levels may be a hazardous combination leading to an increased risk of AD.
Permissive runtime information flow control in the presence of exceptions
Authors: Bichhawat Abhishek , Rajani Vineet , Garg Deepak , Hammer Christian
Published: March 2021

Information flow control (IFC) has been extensively studied as an approach to mitigate information leaks in applications. A vast majority of existing work in this area is based on static analysis. However, some applications, especially on the Web, are developed using dynamic languages like JavaScript where static analyses for IFC do not scale well. As a result, there has been a growing interest in recent years to develop dynamic or runtime information flow analysis techniques. In spite of the advances in the field, runtime information flow analysis has not been at the helm of information flow security, one of the reasons being that the analysis techniques and the security property related to them (non-interference) over-approximate information flows (particularly implicit flows), generating many false positives.

In this paper, we present a sound and precise approach for handling implicit leaks at runtime. In particular, we present an improvement and enhancement of the so-called permissive-upgrade strategy, which is widely used to tackle implicit leaks in dynamic information flow control. We improve the strategy’s permissiveness and generalize it. Building on top of it, we present an approach to handle implicit leaks when dealing with complex features like unstructured control flow and exceptions in higher-order languages. We explain how we address the challenge of handling unstructured control flow using immediate post-dominator analysis. We prove that our approach is sound and precise.
A new hybrid model combining EMD and neural network for multi-step ahead load forecasting
Authors: Malik Hasmat , Alotaibi Majed A. , Almutairi Abdulaziz
Published: March 2021

The electric load forecasting (ELF) is a key area of the modern power system (MPS) applications and also for the virtual power plant (VPP) analysis. The ELF is most prominent for the distinct applications of MPS and VPP such as real-time analysis of energy storage system, distributed energy resources, demand side management and electric vehicles etc. To manage the real-time challenges and map the stable power demand, in different time steps, the ELF is evaluated in yearly, monthly, weekly, daily, and hourly, etc. basis. In this study, an intelligent load predictor which is able to forecast the electric load for next month or day or hour is proposed. The proposed approach is a hybrid model combining empirical mode decomposition (EMD) and neural network (NN) for multi-step ahead load forecasting. The model performance is demonstrated by suing historical dataset collected form GEFCom2012 and GEFCom2014. For the demonstration of the performance, three case studies are analyzed into two categories. The demonstrated results represents the higher acceptability of the proposed approach with respect to the standard value of MAPE (mean absolute percent error).
Technical analysis of adaptive neuron fuzzy intelligent system in tennis serve
Authors: Yang Yimin , Hu Di
Published: March 2021

Serving is the most important hitting technique in tennis, and a good service receiving can instantly reverse the active and passive relationship between serve and receive on the tennis court, and control the rhythm of the court. The purpose of this study is to use an adaptive neuron fuzzy intelligent system to analyze some techniques of tennis serve. In this study, eight male players from the school tennis team were selected as the experimental subjects, whose sports level was above the national tennis level II. Ten weeks before the simulation test, the training time and frequency of 8 subjects were the same. In other words, 5 times a week, 2.5 hours±0.5 hours. The work engineering of adaptive fuzzy system firstly, in the off-line modeling stage, the adaptive fuzzy system uses the rule self splitting technology to generate the initial fuzzy rules, and uses the improved adaptive neural network algorithm to optimize the calculation; then according to the error between the system input and the predicted output, the independent variable is adjusted and replaced; at the same time, the adaptive fuzzy system is further used for calculation In the process of tennis serving, the nonlinear control variables are obtained online and applied to the fuzzy system for control. Next, in the experiment, the system was used to record the body’s movement and service scores during service. The experimental results show that during the service process, the maximum trunk torsion amplitude can reach 48.26 ° and the minimum is only 5.41 ° and the service score accounts for 81.41% and 80.47% of the total scores of the two sections respectively. This shows that the fuzzy system in this study can effectively analyze the service posture and score of athletes. It is concluded that the accurate calculation and analysis of tennis serve by adaptive neuron intelligent fuzzy system in this study is conducive to improve the tennis serviceability and competition performance of players. This research has made a certain contribution to the intellectualization of sports.
Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture
Authors: Han Lin , Han Lu
Published: March 2021

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.
Vertex coloring approach for Q-coverage problem in wireless sensor network
Authors: Arivudainambi D. , Pavithra R.
Published: March 2021

Wireless Sensor Network (WSN) has emerged recently due to its advancements and applications in various scientific and industrial fields. WSN consists a set of low cost and readily deployable sensors to monitor targets and recognise the physical phenomena. The principal challenge in WSN is to deploy these sensor nodes in optimal positions to achieve efficient network. Such network should satisfy the quality of service requirements in order to achieve high performance levels. Hence, this paper focuses on target Q-coverage problem where each target requires different number of sensors to monitor them. A Sequential Vertex Coloring based Sensor Placement (SVC-SP) algorithm is proposed to determine the number of sensors required and its optimal spot to satisfy the coverage quality requirement. The SVC-SP algorithm determines sensor requirement by partitioning the target set into independent subsets depending on the target’s position and the sensor’s sensing range. Each independent set consists set of targets that are nearer in the network such that a common sensor is sufficient to monitor them. The cardinality of such independent subsets provides the sensor requirement for target coverage. The optimal spot for each target is determined by the mean positioning of the targets in each independent set. This process is repeated until the q-requirement for each target is satisfied. Further, to improve the optimal spot for sensors, the random based SVC-SP algorithm, cuckoo search based SVC-SP algorithm and the genetic algorithm based SVC-SP algorithm are utilized. The simulation results show that genetic algorithm based SVC-SP algorithm performs better than other existing algorithms.
Fuzzy identification of systems based on adaptive neurons
Authors: Ramírez-Mendoza Abigail María Elena , Yu Wen , Li Xiaoou
Published: March 2021

The identification of nonlinear systems is a complex task. This article presents a method comparison between the new Fuzzy Adaptive Neurons (FAN), Radial Basis Function Network (RBF), and Adaptive Network-Based Fuzzy Inference System (ANFIS). The nonlinear systems presented are solved with stable and optimal learning. The simulation of the results for two models presented, are carried out in Matlab®, the optimization of the system identification for the first and second systems were obtained with great success.
A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment
Authors: Jia Xiang , Wang Xinfan , Zhu Yuanfang , Zhou Lang , Zhou Huan
Published: March 2021

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.
Reasoning over temporal knowledge graph with temporal consistency constraints
Authors: Chen Xiaojun , Jia Shengbin , Ding Ling , Xiang Yang
Published: March 2021

Knowledge graph reasoning or completion aims at inferring missing facts by reasoning about the information already present in the knowledge graph. In this work, we explore the problem of temporal knowledge graph reasoning that performs inference on the graph over time. Most existing reasoning models ignore the time information when learning entities and relations representations. For example, the fact (Scarlett Johansson, spouse Of, Ryan Reynolds) was true only during 2008 - 2011. To facilitate temporal reasoning, we present TA-TransRILP, which involves temporal information by utilizing RNNs and takes advantage of Integer Linear Programming. Specifically, we utilize a character-level long short-term memory network to encode relations with sequences of temporal tokens, and combine it with common reasoning model. To achieve more accurate reasoning, we further deploy temporal consistency constraints to basic model, which can help in assessing the validity of a fact better. We conduct entity prediction and relation prediction on YAGO11k and Wikidata12k datasets. Experimental results demonstrate that TA-TransRILP can make more accurate predictions by taking time information and temporal consistency constraints into account, and outperforms existing methods with a significant improvement about 6-8% on Hits@10.
Dopamine Cell Therapy: From Cell Replacement to Circuitry Repair
Authors: Björklund Anders , Parmar Malin
Published: March 2021

Cell therapy for Parkinson’s disease (PD) is aimed to replace the degenerated midbrain dopamine (mDA) neurons and restore DA neurotransmission in the denervated forebrain targets. A limitation of the intrastriatal grafting approach, which is currently used in clinical trials, is that the mDA neurons are implanted into the target area, in most cases the putamen, and not in the ventral midbrain where they normally reside. This ectopic location of the cells may limit their functionality due to the lack of appropriate afferent regulation from the host. Homotopic transplantation, into the substantia nigra, is now being pursued in rodent PD models as a way to achieve more complete circuitry repair. Intranigral grafts of mDA neurons, derived from human embryonic stem cells, have the capacity to re-establish the nigrostriatal and mesolimbic pathways in their entirety and restore dense functional innervations in striatal, limbic and cortical areas. Tracing of host afferent inputs using the rabies tracing technique shows that the afferent connectivity of grafts implanted in the nigra matches closely that of the intrinsic mDA system, suggesting a degree of circuitry reconstruction that exceeds what has been achieved before. This approach holds great promise, but to match the larger size of the human brain, and the 10 times greater distance between substantia nigra and its forebrain targets, it may be necessary to find ways to improve the growth capacity of the grafted mDA neurons, pointing to a combined approach where growth promoting factors are used to enhance the performance of mDA neuron grafts.
Environmental safety management system – as one of the components of energy efficiency
Authors: Oksana M. Hunchenko  , Olena S. Voloshkina  , Мarina V. Kravchenko  , Volodymyr I. Korinnyi
Published: March 2021

The article substantiates the relationship between environmental safety and energy efficiency – as the main components on the way to sustainable development of society. The existing approaches to defining the essence of environmental safety are considered, its characteristic features are detailed, the basic practical principles of its provision are substantiated, and promising directions for the further development of the international environmental safety system are shown. The general scheme of the organization of the ecological safety system in the normal state of the environment is presented, which should be based on three components: control, regulation and implementation of safety measures. It is shown that maximum efforts should be directed to making management decisions based on the analysis of existing risks and forecasting new potential threats, which are an integral part of human activity. An important stage in a productive management system is the use of the best available technologies, which does not require strict regulation of activities and provides the freedom to choose ways to achieve this goal, based on the latest technological and technological solutions. organizational developments and their successful combination. Competitive advantages and a number of disadvantages from the introduction of an environmental management system at an enterprise, in particular in the energy sector, have been substantiated. The article presents the main laws of Ukraine in the field of environmental safety, as well as the state standards of Ukraine in the series of international standard ISO 14000. The main stages of management in the field of environmental safety, based on the Shuhard-Deming cycle, are summarized and presented in the model of the environmental safety management standard DSTU ISO 14001:2015.
Use of remote sensing results in the tasks of navigational and hydrographic situation monitoring
Authors: Olexandr A. Shchyptsov  , Dmitry L. Kreta  , Oleksiy G. Lebid  , Natalia A. Sheviakina
Published: March 2021

The paper presents the possibilities of using modern online sources of satellite information in the tasks of monitoring the ecological and navigational-hydrographic situation and building on their basis methods and information technologies to reflect the state of marine waters and operational forecasting of changes in this state. For the tasks of monitoring the ecological and navigational-hydrographic situation, one of the most convenient and informative is the marine environment monitoring service COPERNICUS (CMEMS). This service collects and presents data on observations of spatio-temporal variability of sea water temperature and salinity values, streams parameters, etc. by using specialized artificial satellites Sentinel-1 and Sentinel-2, which intended for use in the mission of a dual satellite with high viewing frequency and high resolution. CMEMS provides, on a regular and systematic basis, information on the physical condition, variability and dynamics of the oceanic and marine ecosystems. The principle of measurement uses natural microwave emissions on the sea surface, which vary depending on the degree of roughness of the sea surface. You can get the parameters of wind direction, atmospheric water vapor, rain speed, sea ice (age, concentration and limit), the length of the snow cover and the water content in the snow. High-resolution ice mapping services provide ice classification and floating ice data to navies and shipping companies to ensure safe year-round shipping. The ability of the Sentinel-1 to conduct observations in any weather and during the day or night makes it ideal for accurately determining the location and movement of the vessel at sea. Oil detection applications are used to gather evidence of illegal discharges, analyze the spread of oil spills and search for oil reserves by detecting natural infiltration. Sentinel-1 marine products, in combination with global sea wave models, help determine the direction, wavelength and height of waves on the open sea, as well as help predict the weather, the movement of ships and the use of wave energy. In addition, Sentinel-1 can provide data on the interaction of ocean waves and streams, which allows you to visualize large-scale ocean streams, cold/warm water massifs, coastal streams and internal waves. Software and hardware complexes and information-analytical systems created with the use of these methods and technologies can significantly increase the efficiency and effectiveness of solving problems of environmental monitoring, navigation and hydrographic support of navigation, search and rescue operations in marine waters.
An Efficient Numerical Method for the Solution of the Polio Virus (Poliomyelitis) Epidemic Model with the Role of Vaccination
Authors: Rafique Muhammad , Shahid Naveed , Ahmed Nauman , Shaikh Tahira Sumbal , Asif Muhammad , Ahmad Muhammad Ozair
Published: March 2021

Mathematical modeling of a communicable disease is an effective way to describe the behavior and dynamics of the disease. It builds on our understanding of the transmission of a contagion in a population. In this paper, we explore the transmission dynamics of the polio virus (poliomyelitis) with vaccination using standard methods. We formulate an unconditionally stable Non-Standard Finite Difference (NSFD) scheme for a continuous system of the epidemic polio virus. The designed scheme to approximate the solution is bounded, consistent with the underlying model. The proposed numerical scheme preserves the positivity of the stated variables which is necessary for any population dynamical system. It is used to calculate the numerical solutions of the epidemic model for different step sizes “h”. Two other numerical schemes are enforced to find the solution of the proposed system. Finally, the comparison of the NSFD technique with these methods proves its validity and effectiveness.
Informe de la Junta Directiva al Congreso de la República - Marzo de 2021
Authors:   Junta Directiva
Published: March 2021

La Junta Directiva del Banco de la República, de conformidad con lo previsto en el artículo 5° de la Ley 31 de 1992, presenta a consideración del Honorable Congreso de la República su Informe al Congreso en el cual se detallan las medidas que ha tomado el Banco de la República en el marco de la emergencia generada por el Covid-19 y se presentan los resultados macroeconómicos de 2020 y las perspectivas para 2021. Adicionalmente, se describe la composición de las reservas internacionales y su rendimiento, la situación financiera de la Entidad y sus proyecciones, y la gestión cultural del Banco.
Afrika Sanatının Koruyucu İşlevi Ekseninde Nick Cave’in Sanat Pratiği
Authors: DEĞİRMENCİ AYDIN Mine
Published: March 2021

Bu araştırmada, genellikle heykel, dans ve performans sanatı üzerine üretimler yapan Nick Cave’in “soundsuit” olarak adlandırdığı ses giysilerinin, koruyuculuk işlevi noktasında, Afrika heykeliyle olan analojik ilişkisinin incelemesi amaçlanmıştır.Nick Cave’in, ilki 1992 olmak üzere 2020 li yıllara gelinen süreçte sanatsal üretimlerinde 500’den fazla soundsuit yaptığı görülmüştür. Giyilebilen bu tam vücut heykeller kişinin cinsiyetini, ırkını, kimliğini gizleyerek koruma işlevi görürler. Soundsuitler, danteller, boncuklar, kumaşlar, tüyler, ağaç dalları ve bitpazarından alınma günlük nesnelerle kaplanmış yüzeyleriyle, Afrika danslarında kullanılan kostümlerle benzerlik gösterir. Ayrıca Afrika halklarının korunmayla ilgili içgüdüsel ilişkisi üzerine yaptığı heykellerin Nick Cave’in üretimleriyle anlamsal yakınlığı olduğunu söylemek mümkün görünmektedir.Çalışmada Afrika heykeli ve Nick Cave’in sanat pratiği üzerine alan yazını incelendiğinden doküman analizi yöntemi kullanılmıştır. Bu yöntemle elde edilen verilerin içerik analizi yapılmıştır. Araştırmada sanatçıya ait sanatsal uygulamaların koruyucu bir özellik taşıması Afrika heykeliyle olan ilişkisi noktasında incelenmiştir. Sanat pratiğinde koruyucu işlev vurgusu sanatçının verdiği röportajlarda ve yazılı kaynaklarda görülmüştür.
A különleges bánásmód a büntetőeljárásban, fókuszban a gyermekkor
Authors: Vári Vince , Magyari Irma
Published: March 2021

A 2018. július 1-én hatályba lépett Büntetőeljárásról szóló törvény ambiciózus módon a gyermekek sajátos eljárási helyzetét figyelembe véve egységbe foglalta az addig csupán szétszórva megtalálható szabályozása normákat, biztosítva és a nyomozó hatóságok számára előírva ezzel a gyermeki jogok teljesebb érvényesítését a büntetőeljárásban. A tanulmányban a különleges bánásmód jogintézményének gyermekeket érintő részét mutatjuk be a fogalmi kérdések, a nemzetközi szabályozás áttekintését keresztül rámutatva a hazai jogalkalmazás problematikus vonatkozásaira.
A jó oktatási gyakorlatok a Rendészeti Vezetéstudományi Tanszéken
Authors: Kovács Gábor
Published: March 2021

A Nemzeti Közszolgálati Egyetem Rendészettudományi Karán a hallgatók felkészítése összetett módon valósul meg, hiszen a végzettek speciális feladatok ellátására készülnek – a nagy többségük hivatásos tiszt lesz. Az oktatói eredményesség folyamatos biztosítása szempontjából meghatározóvá válik a hatékony oktatási módszerek alkalmazása. Az egyetemen az utóbbi évtized a változások jegyében telt el, de a szakmai célok változatlanok maradtak: a Rendészettudományi Kar fő feladata a tisztjelöltek felkészítése, a kiképzés, a képzés, az oktatás és a nevelés.
Katasztrófaveszélyeztetettség mint katasztrófavédelmi kulcsfogalom – Terminológiai áttekintés
Authors: Papp Bendegúz
Published: March 2021

A katasztrófaveszélyeztetettség a katasztrófatudományban egy általánosan használt fogalom, ám annak pontos jelentésével kapcsolatban nincs egyetértés a tudományos világban. A kifejezés tartalmát azonban egységesíteni kell, mivel az egységes kifejezések hiánya problémákat vet fel többek között a nemzetközi katasztrófavédelmi együttműködésben is. Jelen kutatásban alkalmazott módszertan szakirodalmi áttekintés: elsősorban nemzetközi angol nyelvű könyvek és folyóiratcikkek elemzésével a kapcsolódó fogalmak definiálására, valamint a teljes veszélyeztetettségi térkép létrehozásához szükséges tartalmi elemek meghatározására törekszik. Az eredmények alapján a szerző a veszélyeztetettség fogalmát a következő kategóriákra osztotta: természetföldrajzi, társadalomföldrajzi és statisztikai jellemzők. Következtetéseivel a tanulmány módszertani keretet kíván biztosítani a jelenlegi katasztrófatudományi kutatásokhoz.
МЕХАНІЗМ ІНТЕГРАЦІЇ ПІДПРИЄМСТВ ПРИ ЕКОЛОГОБЕЗПЕЧНОМУ ВИКОРИСТАННІ ЗЕМЕЛЬ
Authors: Єкель Ганна
Published: March 2021

У статті представлено механізм інтеграції підприємств при екологобезпечному використанні земель. Автором запропоновано концептуальний підхід до його формування, наведені основні складові. Метою статті є розробка механізму інтеграції підприємств при екологобезпечному використанні земель. Описано також схему горизонтальної та вертикальної інтеграції. Для функціонування підприємств, які еклогобезпечно використовують земельні ресурси визначено ряд проблем, з якими вони мають справу. Визначено основні завдання, які має вирішувати механізм інтеграції підприємств, які екологобезпечно використовують земельні ресурси. Реалізація запропонованих у статті заходів сприятиме вирішенню ряду соціально-економічних проблем у розвитку регіонів, загальному підвищенню ефективності аграрної сфери.
СУЧАСНІ МЕТОДИ ДОСЛІДЖЕНЬ В МЕДІАМЕНЕДЖМЕНТІ
Authors: Кваско Алла , Сухорукова Ольга , Григорова Зоя
Published: March 2021

Пошук медійним підприємством своєї позиції на медіаринку пов'язаний з організацією і проведення медіадослідження, в результаті якого визначаються уподобання аудиторії, що виступає споживачем медіапродукту. В статті розглянуто методи вивчення і вимірювання аудиторії медіа, зокрема: узагальнено класифікацію методів медіадосліджень; розглянуто основні методи збору інформації з виокремленням їх переваг і недоліків та сфери використання щодо різних медіа. Визначено, що в сучасних умовах при вивченні аудиторії телебачення, радіо, інтернету варто використовувати метод електронного сканування, проте лише його поєднання з опитувальним методом, який допомагає з’ясувати мотиви поведінки споживачів, результати дослідження можна вважати повними. Виділено узагальнюючі показники медіаметрії аудиторії та часткові показники відносно окремих видів медіа.
ЕВОЛЮЦІЯ КОНЦЕПТУ «СУСПІЛЬНИЙ СЕКТОР» В КОНТЕКСТІ ТЕОРІЙ ЕКОНОМІЧНОГО РОЗВИТКУ
Authors: Смолій Людмила , Осіпова Алла
Published: March 2021

Стаття присвячена теоретико-методологічному обґрунтуванню напрямів структурної трансформації суспільного сектору в контексті теорій економічного розвитку. Розглянуто еволюцію концепту «суспільний сектор економіки», окреслено взаємозв’язки з основними підходами в межах зазначених теорій на основі досліджень наукових шкіл та положень їх окремих представників. Встановлено, що функціонування суспільного сектору спрямоване на забезпечення оптимального співвідношення між темпами економічного розвитку та пріоритетами соціального розвитку. Виявлено зміни в специфіці визначення місця суспільного сектору у вирішенні соціально-економічних проблем: від значного поширення впливу до формування тенденцій зменшення його ролі в умовах посилення глобалізаційних викликів. Обґрунтовано, що зміна функцій суспільного сектору в економіці обумовлена трансформацією основних детермінант економічного розвитку.
El papel del Fondo Monetario Internacional en América Latina durante la crisis del coronavirus
Authors: Casero Miguel , Crespo Clara , Mateo María , Vidal Jesús
Published: March 2021

La crisis desencadenada por la COVID-19 está suponiendo un duro golpe para los países de América Latina. A la factura humana cobrada por la pandemia se suma un fuerte impacto sobre el tejido económico y social. El estancamiento del crecimiento de la región en los últimos años, así como las características socioeconómicas de muchos de estos países, con altos niveles de desigualdad e importantes bolsas de pobreza (exacerbados por la pandemia) ponen en riesgo los éxitos cosechados en la etapa previa. En este contexto, este artículo repasa la actividad financiera desplegada por el Fondo Monetario Internacional y su compromiso en la región y se analizan las posibilidades que ofrece una probable nueva asignación general de derechos especiales de giro por parte del FMI para apoyar a países de renta media con mucha población por debajo de la línea de la pobreza.
O „książkoróbstwie” – poglądy Andrzeja Tomaszewskiego na temat typografii i projektowania książek
Authors: Janik Katarzyna
Published: March 2021

Andrzej Tomaszewski jest typografem, poligrafem i redaktorem. Jego dorobek zawodowy jest godny podziwu, a sam A. Tomaszewski, który zaprojektował szatę graficzną dla ponad 260 książek i czasopism, uważany jest za jednego z najważniejszych autorytetów z zakresu typografii w Polsce. Projektant jest również autorem wielu publikacji na temat praktycznych i teoretycznych aspektów projektowania książki. Opracowana przez niego definicja typografii jest jedną z najczęściej przywoływanych w polskiej literaturze fachowej. W 2015 roku, jako Komisarz Konkursu PTWK Najpiękniejsza Książka Roku, uporządkował i przygotował kryteria oceny publikacji biorących udział w konkursie. Badania biograficzne na temat wybitnych typografów są ważną częścią badań bibliologicznych. Pozwalają na ukazanie złożonych kwestii projektowania pięknych i funkcjonalnych publikacji. Artykuł ma na celu przedstawienie i omówienia poglądów A. Tomaszewskiego na temat definiowania typografii, zadań typografa, projektowania książki oraz koncepcji pięknej książki.
Politically Motivated Prosecutions and Detentions: Grand Chamber judgment in the case of Selahattin Demirtaş v. Turkey (no. 2)
Authors: Cinar Ozgur H.
Published: March 2021

This is a commentary paper by focusing on the European Court of Human Rights’ judgment in the case of Selahattin Demirtaş v. Turkey (no. 2). It is a controversial judgement which has received substantial international attention. In this case, the Court has been given the opportunity to reiterate its key positions on a highly important aspect of freedom of expression (Article 10), the right to liberty and security (Article 5) and the right to free elections (Article 3 of Protocol No. 1).
First International Lvov Forum
Authors: Sazanova Svetlana L.
Published: March 2021

The article is devoted to the analysis of the content and results of the First International Lvov Forum, dedicated to the 90th anniversary of the birth of Academician D. S. Lvov (1930–2007). The forum was held on October 20–21, 2020 at the State University of Management with the support of the Russian Foundation for Basic Research (RFBR), project No. 20-010-22058. Major Russian and foreign scientists, academicians and corresponding members of the Russian Academy of Sciences, leading Russian universities, universities of the Czech Republic, France, Bulgaria and other countries took part in the First Lvov Forum. The Forum discussed fundamental problems of modern Russian and world economic science, including: the problem of the crisis of the paradigm of economic theory; the problem of the relationship between philosophical and economic knowledge; the need to form a new paradigm of economic science; the problem of interaction between society, state and business at the micro, meso and macro levels in the face of modern challenges; place and role of Russia in the world socio-economic system; development strategy of the Russian socio-economic system in the context of the new paradigm of economic science in the context of modern challenges. The discussion of the above fundamental problems was on the basis of a synthesis of the principle of dichotomy and a systematic approach. The First Lvov Forum took a significant place among such major Russian scientific events as the Gaidar Economic Forum, the Krasnoyarsk Economic Forum, the Moscow Economic Forum, etc. due to the relevance of the problems considered at the Forum, the novelty of the methods proposed for their solution. The ideas of Russian and foreign scientists presented at the Forum can be used for the further development of modern economic theory, as well as for the development of programs for the development of the Russian economy at the micro, meso and macro levels.
Information Openness of Regional Development Agencies in Russia: Trends and Forecasts
Authors: Balatsky Evgeny V. , Ekimova Nataly A.
Published: March 2021

During last decades Russia was in the process of forming a market of regional development institutions, the structure of which includes such managing entities as regional development corporations (agencies). The article examines the information openness of Russian regional development corporations (RDC). It gives quantitative assessment and shows the qualitative transformation of this phenomenon in 2016 and 2020. The official websites and portals of these organizations are used as information base. Comparison information openness ratings of the Russian RDC for 2016 and 2020, built by the authors, allowed establishing few important facts and trends’ development. Firstly, the number of RDCs is slowly but surely growing. Secondly, their information openness has slightly increased over the last four years. Thirdly, the difference between the indicators of information openness of the RDC has sharply decreased, what indicates an increase in competition between these structures in the all-Russian information market. Fourthly, the work to improve awareness of RDC activities is spontaneous and does not involve any reporting standards. The experience of Canada and Australia was considered to identify management reserves in the work of Russian RDCs. That allowed to formulate few proposals. First, it is advisable to increase the number of domestic RDCs by 2–3 times. Secondly, a unified standard for RDC corporate reporting and a Federal portal with their contact details are necessary. Thirdly, RDC should not only participate in the implementation of regional projects, but also develop a promising model for the development of the territory, considering its specifics, which is currently absent.
Influence of News Tonality on Credit Market during Sanctions Period
Authors: Fedorova Elena A. , Khrustova Lyubov E. , Demin Igor’ S.
Published: March 2021

Russian economy was influenced by western sanctions in many spheres. Russian credit market was significantly impacted as well. The presented work suggests that except for the strict influence in form of financial restrictions and assets freezing, sanctions also had indirect impact. Emotional presentation of Russian sanctions in abroad media can be claimed as one of the indirect factors, which form banking management expectations of economic situation and influences people to have loans and place money into deposits. The aim of research is to estimate the influence of news about Russian sanctions tonality in foreign media on the level of credit and deposit interest rates in Russian commercial banks. To achieve this goal, the following hypotheses were claimed: there is a connection between the way in which sanctions against Russia are presented in foreign media and the level of interest rates; there is a difference in the impact of positive and negative news texts on the expectations, determining changes in interest rates. «Bag of words» technique and a special dictionary, which helps to identify the emotional tonality of the text, were used to achieve the declared aim. Advanced modeling of interest rates was carried out using the vector autoregression (VAR) model, supplemented by the construction of the impulse response function and the calculation of the rate dispersion decomposition. As a result, a hypothesis about the influence of news tonality on commercial bank interest rates’ was approved.
Suomen merimuseon museolaivakuulumisia
Authors: Aartomaa Johanna , Puustinen Juha
Published: March 2021

Katsaus käsittelee Suomen merimuseon suurimpien museoalusten ylläpitoa. Höyryjäänmurtaja Tarmo telakoitiin viimeksi vuosina 2016–2017, ja majakkalaiva Kemin tekointi alkoi talvella 2020–2021. Molemmat alukset ovat kansallisesti merkittäviä museolaivoja, jotka on päätetty museoida heti käyttövuosiensa jälkeen. Katsaus avaa suurten museolaivojen telakointiin liittyvää tutkimusta, työtehtäviä ja yllätyksiä.
Assessing the Prevalence and Factors Affecting Sexual Harassment Among Female Staffs of a Supermarket in Kathmandu, Nepal
Authors: Sharma Ira , Lama Sangam
Published: March 2021

This cross sectional study was carried out to assess the prevalence and factors affecting sexual harassment (SH) among female staffs of a supermarket in Kathmandu, Nepal. The data were collected with self-administered questionnaire from 170 staffs. Uni-variate (descriptive detail) and bivariate (statistical detail) analyses were the methods applied. Among 24.1% of sexually harassed respondents, the most common was 15-30 years' age group. Moreover, 80.5% of the victims were harassed verbally, 39% non-verbally and 48.8% physically. The harassment occurred either when they were alone (non-verbal 56.5% and physical 78.3%) or when the shop was crowded (non-verbal 29.3% and physical 88.2%). Most of the victims accepted the problem (non-verbal 55.6% and physical 94.4%) due to fear of being fired and social stigma. Non-verbal (53.8%) and physical (100%) harassments mostly occurred during night shift whereas verbal harassment (63.4%) occurred during day shift. Out of 6 selected predictors: age, dress, place, shift, perpetrator and acceptance of the incident, the verbal harassment was statistically associated with shift (63.6% in day, p-val.= 0.007), non-verbal harassment was associated with age (25% of age 15-30 years, p-val.=0.002) and the physical harassment was statistically associated with age (35% of age 15-30 years, p-val.=0.000), shift (35.0% at night, p-val.=0.000), prepatrators (25% of age 15-30 years, p-val.=0.003), acceptance (40.0% due fear of being fired/ social stigma, p-val.=0.000). In order to reduce sexual harassment among female staffs of supermarkets, there must be awareness programs for all the staff, advocacy programs against SH for customers and staffs, punishment for the perpetrators must be legal.
A verified distribution model for the lesser sandeel Ammodytes marinus
Authors: Langton R , Boulcott P , Wright PJ
Published: March 2021

The lesser sandeel Ammodytes marinus is a key component of the North East Atlantic ecosystem but little is known about its distribution outside of fished areas. In this study, species distribution models were developed to predict the occurrence and density of sandeels in parts of the North Sea and Celtic Seas regions. A hurdle model was found to be the best fitting model with the highest predictive performance; model evaluation with independent data demonstrated that it had significant discrimination ability across the study region. Percentage silt was the most important variable in predicting occurrence, and percentage sand had a strong influence on density, consistent with past local studies. Slope was also a significant explanatory variable, especially for predicting density, as buried sandeels avoided strongly sloping areas such as the edges of sand banks. A predicted preferred depth range of 30-50 m was consistent with many previous studies, although the depth response did appear partially biased by the depth range investigated in the training data set. Overall, the predicted distribution did not indicate that there were large areas of unexploited habitat. However, some small areas known to be important to sandeel predators were identified by the model. The distribution model helps refine past inferences about sandeel availability to predators and indicates to marine planners potential areas where anthropogenic impacts should be considered.