bluuebunny/crossref_metadata_2025 huggingface dataset:
Scale-Sensitive Feature Reassembly Network for Pedestrian Detection
Authors: Yang Xiaoting , Liu Qiong
Published: June 2021

Serious scale variation is a key challenge in pedestrian detection. Most works typically employ a feature pyramid network to detect objects at diverse scales. Such a method suffers from information loss during channel unification. Inadequate sampling of the backbone network also affects the power of pyramidal features. Moreover, an arbitrary RoI (region of interest) allocation scheme of these detectors incurs coarse RoI representation, which becomes worse under the dilemma of small pedestrian relative scale (PRS). In this paper, we propose a novel scale-sensitive feature reassembly network (SSNet) for pedestrian detection in road scenes. Specifically, a multi-parallel branch sampling module is devised with flexible receptive fields and an adjustable anchor stride to improve the sensitivity to pedestrians imaged at multiple scales. Meanwhile, a context enhancement fusion module is also proposed to alleviate information loss by injecting various spatial context information into the original features. For more accurate prediction, an adaptive reassembly strategy is designed to obtain recognizable RoI features in the proposal refinement stage. Extensive experiments are conducted on CityPersons and Caltech datasets to demonstrate the effectiveness of our method. The detection results show that our SSNet surpasses the baseline method significantly by integrating lightweight modules and achieves competitive performance with other methods without bells and whistles.
The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process
Authors: Milov Anton Vladimirovich , Tynchenko Vadim Sergeevich , Kurashkin Sergei Olegovich , Tynchenko Valeriya Valerievna , Kukartsev Vladislav Viktorovich , Bukhtoyarov Vladimir Viktorovich , Sergienko Roman , Kukartsev Viktor Alekseevich , Bashmur Kirill Aleksandrovich
Published: June 2021

In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution that is effective in different operating conditions in terms of the accuracy of the data obtained and the reliability of the measurement equipment and duplication in case of a failure. The present article discusses the development of intelligent technology based on a collection of artificial neural networks, which allows a number of problems associated with technological process control when using pyrometric sensors to be solved: assessing the quality of measurements, correcting measurements when non-standard errors are detected, and controlling the process of induction heating in the absence of reliable readings of the measurement instruments. The collection of artificial neural networks is self-configuring with the use of multicriterion genetic algorithms. The use of the proposed intelligent technology made it possible to improve the control quality of the technological process of the induction brazing of waveguide paths of spacecraft: the overregulation was decreased from 0–20 to 0, and the difference in the heating temperatures of the elements of the brazed waveguide assembly was decreased from 20–100 to 0–10. In addition, the overall process duration decreased and became more stable. When using the classical control technology, the time varied in the range of 20–60 s; when using the proposed technology, it stabilized in the range of 30–35 s.
Benefits of Organic Agriculture under the Perspective of the Bioeconomy: A Systematic Review
Authors: Cidón Camila Fritzen , Figueiró Paola Schmitt , Schreiber Dusan
Published: June 2021

The opportunities for the global growth of the bioeconomy (BE) are generated by the need to expand the food supply for an increasing world population without compromising the environment even further. Organic agriculture (OA) claims to be more environmentally friendly than conventional agriculture and capable of addressing sustainable development objectives by using green technologies, resulting in economic, social, and ecological benefits. The aim of this paper is to investigate the relation between OA and BE through a systematic literature review. We addressed the benefits of OA under perspective of the main aspects of BE. As demonstrated by previous papers assessed on this review, OA can be a means to facilitate strategies for the use of renewable resources to mitigate the emergencies arising from global warming, as claimed by the BE concept. This article introduces a necessary discussion due the lack of previous studies reporting the capacity of OA to connect with the BE. As a final contribution, we present a conceptual framework characterizing potential benefits of OA under the perspective of BE, for organic farmers and researchers to advance in sustainability and green innovation.
Urban Morphological Feature Extraction and Multi-Dimensional Similarity Analysis Based on Deep Learning Approaches
Authors: Cai Chenyi , Guo Zifeng , Zhang Baizhou , Wang Xiao , Li Biao , Tang Peng
Published: June 2021

The study of urban morphology contributes to the evolution of cities and sustainable development. Urban morphological feature extraction and similarity analysis represents a practical framework in many studies to interpret and introduce the current built environment to aid in proposing novel designs. In conventional methods, morphological features are represented based on qualitative descriptions, symbolical interpretation, or manually selected indicators. However, these methods could cause subjective bias and limit the generalizability. This study proposes a hybrid data-driven approach to support quantitative morphological descriptions and multi-dimensional similarity analysis for urban design decision-making and to further morphology-related studies using information abundance via a deep-learning approach. We constructed a dataset of 3817 residential plots with geometrical and related infrastructure information. A deep convolutional neural network, GoogLeNet, was implemented with the plots’ figure–ground images, by quantifying the morphological features into 2048-dimensional feature vectors. We conducted a similarity analysis of the plots by calculating the Euclidean distance between the high-dimensional feature vectors. Then, a comparison study was performed by retrieving cases based on the plot shape and plots with buildings separately. The proposed method considers the overall characteristics of the urban morphology and social infrastructure situations for similarity analysis. This method is flexible and effective. The proposed framework indicates the feasibility and potential of integrating task-oriented information to introduce custom and adequate references via deep learning methods, which could support decision making and association studies on morphology with urban consequences. This work could serve as a basis for further typo-morphology studies and other morphology-related ecological, social, and economic studies for sustainable built environments.
Safety Warning Model of Coal Face Based on FCM Fuzzy Clustering and GA-BP Neural Network
Authors: Meng Fanqiang
Published: June 2021

Risk and security are two symmetric descriptions of the uncertainty of the same system. If the risk early warning is carried out in time, the security capability of the system can be improved. A safety early warning model based on fuzzy c-means clustering (FCM) and back-propagation neural network was established, and a genetic algorithm was introduced to optimize the connection weight and other properties of the neural network, so as to construct the safety early warning system of coal mining face. The system was applied in a coal face in Shandong, China, with 46 groups of data as samples. Firstly, the original data were clustered by FCM, the input space was fuzzy divided, and the samples were clustered into three categories. Then, the clustered data was used as the input of the neural network for training and prediction. The back-propagation neural network and genetic algorithm optimization neural network were trained and verified many times. The results show that the early warning model can realize the prediction and early warning of the safety condition of the working face, and the performance of the neural network model optimized by genetic algorithm is better than the traditional back-propagation artificial neural network model, with higher prediction accuracy and convergence speed. The established early warning model and method can provide reference and basis for the prediction, early warning and risk management of coal mine production safety, so as to discover the hidden danger of working face accident as soon as possible, eliminate the hidden danger in time and reduce the accident probability to the maximum extent.
Channel Identification Based on Cumulants, Binary Measurements, and Kernels
Authors: Oualla Hicham , Fateh Rachid , Darif Anouar , Safi Said , Pouliquen Mathieu , Frikel Miloud
Published: June 2021

In this paper, we discuss the problem of channel identification by using eight algorithms. The first three algorithms are based on higher-order cumulants, the next three algorithms are based on binary output measurement, and the last two algorithms are based on reproducing kernels. The principal objective of this paper is to study the performance of the presented algorithms in different situations, such as with different sizes of the data input or different signal-to-noise ratios. The presented algorithms are applied to the estimation of the channel parameters of the broadband radio access network (BRAN). The simulation results confirm that the presented algorithms are able to estimate the channel parameters with different accuracies, and each algorithm has its advantages and disadvantages for a given situation, such as for a given SNR and data input. Finally, this study provides an idea of which algorithms can be selected in a given situation. The study presented in this paper demonstrates that the cumulant-based algorithms are more adequate if the data inputs are not available (blind identification), but the kernel- and binary-measurement-based methods are more adequate if the noise is not important (SNR≥16 dB).
Larvicidal Activities against Aedes aegypti of Supernatant and Pellet Fractions from Cultured Bacillus spp. Isolated from Amazonian Microenvironments
Authors: Katak Ricardo M. , Rocha Elerson M. , Oliveira Juan C. , Muniz Veranilce A. , Oliveira Marta R. , Ferreira Francisco A. S. , Silva William R. , Roque Rosemary A. , de Souza Antonia Q. L. , Souza-Neto Jayme A. , Terenius Olle , Marinotti Osvaldo , Tadei Wanderli P.
Published: June 2021

The Aedes aegypti mosquito is the primary vector of Dengue, Chikungunya and Zika causing major problems for public health, which requires new strategies for its control, like the use of entomopathogenic microorganisms. In this study, bacteria from various Amazonian environments were isolated and tested for their pathogenicity to A. aegypti larvae. Following thermal shock to select sporulated Bacillus spp., 77 bacterial strains were isolated. Molecular identification per 16S RNA sequences revealed that the assembled strains contained several species of the genus Bacillus and one species each of Brevibacillus, Klebsiella, Serratia, Achromobacter and Brevundimonas. Among the isolated Bacillus sp. strains, 19 showed larvicidal activity against A. aegypti. Two strains of Brevibacillus halotolerans also displayed larvicidal activity. For the first time, larvicidal activity against A. aegypti was identified for a strain of Brevibacillus halotolerans. Supernatant and pellet fractions of bacterial cultures were tested separately for larvicidal activities. Eight strains contained isolated fractions resulting in at least 50% mortality when tested at a concentration of 5 mg/mL. Further studies are needed to characterize the active larvicidal metabolites produced by these microorganisms and define their mechanisms of action.
Genetic and Pathogenic Characterization of QX(GI-19)-Recombinant Infectious Bronchitis Viruses in South Korea
Authors: Youn So-Youn , Lee Ji-Youn , Bae You-Chan , Kwon Yong-Kuk , Kim Hye-Ryoung
Published: June 2021

Infectious bronchitis viruses (IBVs) are evolving continuously via genetic drift and genetic recombination, making disease prevention and control difficult. In this study, we undertook genetic and pathogenic characterization of recombinant IBVs isolated from chickens in South Korea between 2003 and 2019. Phylogenetic analysis showed that 46 IBV isolates belonged to GI-19, which includes nephropathogenic IBVs. Ten isolates formed a new cluster, the genomic sequences of which were different from those of reference sequences. Recombination events in the S1 gene were identified, with putative parental strains identified as QX-like, KM91-like, and GI-15. Recombination detection methods identified three patterns (rGI-19-I, rGI-19-II, and rGI-19-III). To better understand the pathogenicity of recombinant IBVs, we compared the pathogenicity of GI-19 with that of the rGI-19s. The results suggest that rGI-19s may be more likely to cause trachea infections than GI-19, whereas rGI-19s were less pathogenic in the kidney. Additionally, the pathogenicity of rGI-19s varied according to the genotype of the major parent. These results indicate that genetic recombination between heterologous strains belonging to different genotypes has occurred, resulting in the emergence of new recombinant IBVs in South Korea.
First Dose of the BNT162b2 mRNA COVID-19 Vaccine Reduces Symptom Duration and Viral Clearance in Healthcare Workers
Authors: Coppeta Luca , Balbi Ottavia , Grattagliano Zaira , Mina Grazia Genga , Pietroiusti Antonio , Magrini Andrea , Bolcato Matteo , Trabucco Aurilio Marco
Published: June 2021

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected more than one hundred million people since the beginning of the worldwide pandemic. In this study, data from a large hospital in central Italy was used to evaluate the impact of the first dose of the BNT162b2 mRNA vaccine on SARS-CoV-2 infections in terms of the prevalence of symptomatic cases, symptom duration, and viral clearance timing. All vaccinated Healthcare Workers (HCWs) with positive RT-PCR by nasopharyngeal (NP) swabs were divided into two cohorts (positive RT-PCR within day 12 and positive RT-PCR between day 13 and day 21 after first dose administration) and compared for the presence and duration of symptoms and the timing of viral clearance. The same variables were evaluated across HCWs with positive RT-PCR within 6 days after first dose administration and non-vaccinated HCWs with positive RT-PCR between 1 October 2020 and 28 February 2021. Eighteen HCWs tested positive on RT-PCR by NP swab from day 1 to day 12 after the 1st dose administration (incidence rate 6.2 × 10−4) and 5 HCWs from day 13 to day 21 (incidence rate 2.3 × 10−4). Symptom duration and viral clearance timing are significantly shorter in the cohort of HCWs with positive RT-PCR 12 days after the first dose of the BNT162b2 mRNA vaccine. The administration of the first dose proved effective in reducing presence, symptom duration, and viral clearance even in HCWs vaccinated for less than 6 days. These results could have implications on public health and post-exposure prophylaxis.
Global Trends and Correlates of COVID-19 Vaccination Hesitancy: Findings from the iCARE Study
Authors: Stojanovic Jovana , Boucher Vincent G. , Gagne Myriam , Gupta Samir , Joyal-Desmarais Keven , Paduano Stefania , Aburub Ala’ S. , Sheinfeld Gorin Sherri N. , Kassianos Angelos P. , Ribeiro Paula A. B. , Bacon Simon L. , Lavoie Kim L.
Published: June 2021

The success of large-scale COVID-19 vaccination campaigns is contingent upon people being willing to receive the vaccine. Our study explored COVID-19 vaccine hesitancy and its correlates in eight different countries around the globe. We analyzed convenience sample data collected between March 2020 and January 2021 as part of the iCARE cross-sectional study. Univariate and multivariate statistical analyses were conducted to explore the correlates of vaccine hesitancy. We included 32,028 participants from eight countries, and observed that 27% of the participants exhibited vaccine hesitancy, with increases over time. France reported the highest level of hesitancy (47.3%) and Brazil reported the lowest (9.6%). Women, younger individuals (≤29 years), people living in rural areas, and those with a lower perceived income were more likely to be hesitant. People who previously received an influenza vaccine were 70% less likely to report COVID-19 vaccine hesitancy. We observed that people reporting greater COVID-19 health concerns were less likely to be hesitant, whereas people with higher personal financial concerns were more likely to be hesitant. Our findings indicate that there is substantial vaccine hesitancy in several countries, with cross-national differences in the magnitude and direction of the trend. Vaccination communication initiatives should target hesitant individuals (women, younger adults, people with lower incomes and those living in rural areas), and should highlight the immediate health, social and economic benefits of vaccination across these settings. Country-level analyses are warranted to understand the complex psychological, socio-environmental, and cultural factors associated with vaccine hesitancy.
COVID-19 Vaccine Hesitancy and Its Associated Factors in Japan
Authors: Okubo Ryo , Yoshioka Takashi , Ohfuji Satoko , Matsuo Takahiro , Tabuchi Takahiro
Published: June 2021

The vaccine confidence index in Japan is one of the lowest worldwide. This study aimed to examine the proportion of COVID-19 vaccine hesitancy in the Japanese population using a larger sample and more robust statistical methods than previously, and to identify factors associated with vaccine hesitancy. We conducted a nationwide, cross-sectional Internet survey on 8–26 February 2021, and calculated the proportion and odds ratios for vaccine hesitancy. Among 23,142 responses analyzed, the proportion of COVID-19 vaccine hesitancy was 11.3% (10.9–11.7%). The proportion was higher among younger respondents and female respondents, and especially among younger female respondents (15.6%) compared with the lowest proportion among older male respondents (4.8%). The most cited reason for not getting vaccinated was concerns about adverse reactions in more than 70% of the respondents. The proportion of COVID-19 vaccine hesitancy in Japan was comparable to that in previous studies overseas, and the proportion among younger respondents was more than double that among older respondents. Factors associated with the hesitancy were female sex, living alone, low socioeconomic status, and presence of severe psychological distress, especially among older respondents. Thus, adequate measures should be taken to ensure that vaccines are delivered to people with these factors.
“DEViR”: A Software for Determining and Visualizing Optimal Tree Felling Direction in Three-Dimensional Terrain
Authors: TÜRKAY Burak , AYDIN Abdurrahim
Published: June 2021

Felling trees, which is the basis of forestry activities, is dangerous and difficult work that needs to be performed carefully. These activities can affect forest workers’ safety, damage the remaining forest, or reduce the value of the extracted product. Most of the accidents and injuries in forestry operations occur due to the trees not falling in the desired direction. Directional mistakes in tree felling processes or underestimating the criteria negatively affect the felling process, which may increase the damage on the product. In terms of life safety and property quality, not only the felling direction but also the safe escape route for the crew should be determined during tree felling. If these issues are ignored due to incomplete information or carelessness, they can cause serious safety problems. However, work safety can be improved through training programs. The primary purpose of this study was to develop a training tool, called “DEViR”, to assist loggers for determination and visualization of the optimal tree felling direction. "DEViR" software was specifically designed to determine the ideal tree felling direction, as well as the escape route for the crew, and dangerous work zone according to safety rule of two tree in a 3D virtual environment. The sample application of the software was run considering artificially placed trees in a study area located in the city of Erzurum in Turkey. The findings of the sample application indicated that the use of this computer-aided simulation systems can provide felling direction solutions with high accuracy and details that cannot be done by a logger’s decision. The results indicated that as the Digital Elevation Model (DEM) and orthomosaic resolution increases, "DEViR" can perform more realistic modeling and accurate calculations, but computation time and hardware requirement increase with increasing data size. Also, it was found that "DEViR" software is a good training tool as it presents visual material, animates the tree felling process interactively, and reflects the result of every decision to the user. Thus, it has great potentials to increase the performance of the loggers in training and daily felling operations.
Typological bases of delegation in the healthcare system
Authors: Berdutin V. A.
Published: June 2021

Corporate culture, loyalty and creative activity of medical workers are directly dependent on the management style. Today, the head of a healthcare organization has the opportunity to choose a management model that suits him, for example, such as the Harzburg model based on the delegation of authority and responsibility.
The main idea here is that each employee gets a certain range of tasks and powers, within which they have the right to act independently and make decisions. The model pays special attention to soft management, i.e. human resources management skills and the art of interpersonal communication. The article describes a method for potentiating the power of the Harzburg model. Thanks to the typological platform, delegation takes on an acutely personal character and becomes a truly effective management tool that brings the quality and accessibility of medical care to the population to a suprasystem level.
MODERN TRENDS IN THE DEVELOPMENT OF INNOVATIVE BUILDINGS AND COMPLEXES
Authors: Savina I.
Published: June 2021

The establishment of innovative facilities took a long way, therefore the existing innovative infrastructure is diverse. Despite the huge number of different types of architectural structures of innovative orientation, it is possible to track and identify similar areas of creation and operation of such objects. Buildings and complexes of innovative activity represent the association of high-tech firms for the purpose of their economic growth in research and production facilities, which are located on the same territory. The main functions of the newly formed research and production facilities are: the development of information transfer technology between companies-residents of research and production facilities; assistance in the creation and development of new forms and types of innovative facilities; provision of temporary ownership and use of premises and territories for small and medium-sized businesses; organization of interaction between educational institutions and the business community in order to implement joint research activities necessary for technological development. The article considers the current trends in the development and formation of buildings and complexes of innovative purpose in the context of technological progress and socio-economic changes, based on the analysis of the experience of design and construction of this type of objects, as well as the study of scientific literature. It is concluded that the identified trends can be recommended for improving the innovation infrastructure in the region.
Collagen Type III and VI Remodeling Biomarkers Are Associated with Kidney Fibrosis in Lupus Nephritis
Authors: Genovese Federica , Akhgar Ahmad , Lim Sung Sam , Farris Alton B. , Battle Monica , Cobb Jason , Sinibaldi Dominic , Karsdal Morten A. , White Wendy I.
Published: June 2021

Key Points

Prognostic biomarkers that identify patients with SLE at risk of developing lupus nephritis and progressing to kidney failure are needed.

Tubulointerstitial fibrosis is an important pathologic feature of lupus nephritis and is associated with kidney disease progression.

Circulatory and urinary markers of collagen type III and type VI remodeling noninvasively reflect levels of kidney fibrosis in patients with lupus nephritis.

Background

Lupus nephritis (LN) occurs in <40% of patients with SLE. Reliable biomarkers of kidney damage are needed to identify patients with SLE at risk of developing LN to improve screening, treat the disease earlier, and halt progression to kidney failure. Novel biomarkers of extracellular matrix remodeling were evaluated as markers of kidney fibrosis and disease activity in patients with LN.

Methods

Biomarkers of the interstitial collagen type III (PRO-C3) and type VI (PRO-C6) formation and of collagen type III (C3M) degradation were evaluated in the serum and urine of 40 patients with LN, 20 patients with SLE but without LN, 20 healthy controls, and ten biopsy controls (histologic kidney inflammation/damage without SLE). Their association with histologic markers of interstitial fibrosis and tubular atrophy, with inflammatory cell infiltration and with disease activity and chronicity in the patients with LN was assessed.

Results

Despite PRO-C3 (serum) and PRO-C6 (serum and urine) being significantly elevated in patients with LN compared with healthy controls, the markers did not differentiate patients with LN from those with SLE. C3M (urine) levels were not different in LN compared with the other groups. C3M (urine) strongly correlated and PRO-C6 (serum and urine) inversely correlated with kidney function (eGFR). The biomarkers of interstitial collagen turnover PRO-C6 (serum) and C3M (urine) correlated with histologic markers of interstitial fibrosis, tubular atrophy, and monocyte infiltration.

Conclusions

Noninvasive collagen turnover biomarkers are promising tools to identify patients with SLE with kidney histologic modifications.
Managing Tacit Knowledge Sharing: From Charismatic Leadership to Psychological Safety Climate
Authors: Hutagalung Dhaniel , Admiral Admiral , Nuryanti Yulis , Asbari Masduki , Novitasari Dewiana
Published: June 2021

This study aims to examine the effect of charismatic leadership on the psychological safety climate and tacit knowledge sharing. This study also investigates the central role of psychological safety climate as a mediating variable between charismatic leadership and tacit knowledge sharing. This study adopted a simple random sampling method with 61 samples of employees from five of MSME companies in Banten. With the help of SmartPLS 3.0 software, the results of this study indicate that charismatic leadership has a significant direct influence on the psychological safety climate and tacit knowledge sharing. Likewise, the psychological safety climate has a significant direct effect on tacit knowledge sharing. This study also found evidence that charismatic leadership has a significant indirect effect on tacit knowledge sharing through mediating the psychological safety climate. Thus, the psychological safety climate acts as a partial mediator in this research model.
SOCIAL ASPECTS OF THE ANALYSIS OF AGGRESSIVE NETWORK BEHAVIOR
Authors: Ryabov M.A. , Bochenkova N.A.
Published: June 2021

The main characteristics of the structure of network communication are revealed. The features of network interaction, the behavioral strategies of its participants are indicated. The influence of various social factors on the manifestation of aggression in network interaction is considered. As a theoretical basis, the approaches developed both within the framework of the sociological paradigm and within the framework of an interdisciplinary approach are presented. Special emphasis is placed on the theory of social roles by D. Myers and the concept of cyber aggression by D. Chabrot. On the one hand, network communication is presented as the possibility of a more complete, more intense interaction of individuals than in the case of physical presence. On the other hand, as a factor in the emergence of destructive forms of communication, such as trolling, cyberbullying, etc. The features of network communication are the expansion of time boundaries due to slower communication, a more detailed study of the information provided by the interlocutor, selectivity in self-presentation, and the creation of one's own image on the network. The importance of an integrated approach to understanding aggressive behavior in network interaction is indicated. The results of an empirical study of social factors of manifestation of aggression in Internet communication are presented. Communication in the Internet space itself becomes aggressive, as users feel impunity for their aggression. The aggressor often hides behind various social roles that are not characteristic of him. The accumulating aggression, which cannot be expressed in real life, so as not to contradict the role attitudes, is poured out in the form of comments, messages, both written and voice. The insults themselves are one of the external factors in the manifestation of aggression. Users themselves reduce the amount of aggression on the network by ignoring provocateurs. The main social factors of the manifestation of aggression in network interaction include the features of the communication skills of the users themselves and the pressure from the society about the expected behavior corresponding to the social roles of the individual.
INTERACTION OF STATE AGENCIES AND BUSINESS IN THE REPUBLIC OF KAZAKHSTAN DURING THE FINAL STAGE OF THE PRESIDENCY OF N.A. NAZARBAEV
Authors: Pass A.A.
Published: June 2021

The article examines the relationship between government officials and entrepreneurs with the emphasis on reducing administrative barriers, strengthening the rule of law in the economy, and increasing the activity of the business community. The article describes multi-circuit system of central and regional republican bodies responsible for regulating economic processes. Special attention is paid to the role of the non-state sector in establishing constructive cooperation between private firms and state-funded organizations. This work provides comprehensive analysis of strengths and weaknesses of the fight against corruption offenses and manifestations of unfair competition. The article describes measures to overcome discretionary decisions, streamline the implementation and control of tax audits. It also provides examples of the abuse of power by government officials when working with businessmen. The article evaluates the effectiveness of electronic portals that helped to resist such attempts. In addition, this work analyzes state’s efforts to streamline and simplify customs procedures. It talks about measures to simplify access of enterprises of various forms of ownership to participate in tenders for public procurement. This article provides comprehensive recommendations on the reduction of criminal activity among entrepreneurs and government officials.
THE CASPIAN REGION IN MODERN POLITICS: PROBLEMS OF REGIONAL COOPERATION
Authors: Pushkareva V.V.
Published: June 2021

The Caspian region appears in international political terms with the USSR collapse. It includes five littoral countries - Azerbaijan, Iran, Kazakhstan, Russia and Turkmenistan, which are building cooperation with each other and with non-regional actors in the new geopolitical conditions. The formation of relations is influenced both by the common and diverse national interests of the Caspian states, and by the constant direct and indirect impact of external players: the United States, the European Union, China and Turkey. Each of them regards the Caspian region as the most important strategic space for political and economic control over Eurasia in accordance with their own interests. The interest of the world powers in strengthening their influence in the Caspian Sea is connected, firstly, with oil and gas reserves, and secondly, with the fact that the region is the center of Eurasia, where a transport transit corridor connecting Europe with various regions of Asia passes. The domestic and foreign political conditions of the Caspian region are not easy. The main problems of regional cooperation are the disunity of the region, the potential for the implementation of "color revolutions" against the background of socio-economic difficulties. The "domino effect" in development of the situation is quite real. There is no reliable mechanism to protect regional interests. The first steps to form multilateral cooperation have been taken on the basis of The Convention on the legal status of the Caspian Sea.
LANGUAGE POLICY AND PROBLEMS OF PRESERVING THE KOMI-PERMYAK LANGUAGE
Authors: Dozmorova M.R.
Published: June 2021

The problem of the preservation and development of minority languages is very relevant for all peoples of the world. The current language situation in the Komi-Permyak District is characterized by the increasing influence of the Russian language and the decline in the prestige of the Komi-Permyak language. The purpose of the article is to identify the main factors of the variability of language policy in the Komi-Permyak District. The study was conducted as part of the study of language policy in the municipalities of the Komi-Permyak District, the main empirical material was obtained during an in-depth interview. The interviewees were heads of municipal districts or their deputies, leaders and activists of local public organizations, heads of local newspapers. The study generally confirmed most of the hypotheses that explain the variability of language policy in the Komi-Permyak District. As expected, structural and agency factors have the greatest impact on the preservation and support of the Komi-Permyak language.
Working Paper Series: Therapeutic Communities in Brazil
Authors: Coelho Resende Noelle , Weber Renata , Fischer Loeck Jardel , Vaiano Glens Mathias , Gomes Carolina , Farfan Barroso Priscila , Targino Janine , Elias Merhy Emerson , Dominguez Barretto Leandro , Machado Carly
Published: June 2021

Spread across Brazil and attaining an unparalleled political force, therapeutic communities are as inescapable in the debate on drug policy as they are complex to define. Although they are not a Brazilian creation, they have been operating in that country for decades, and their dissemination intensified in the 1990s. In 2011, they were officially incorporated into Brazil's Psychosocial Care Network (Rede de Atenção Psicossocial, or RAPS). Since then, therapeutic communities have been at the center of public debates about their regulation; about how they should—or even if they should—be a part of the healthcare system; about the level of supervision to which they should be submitted; about their sources of funding, particularly whether or not they should have access to public funding; and, most importantly, about the quality of the services they offer and the many reports of rights violation that have been made public. However, a well-informed public debate can only flourish if the available information is based on sound evidence. The SSRC’s Drugs, Security and Democracy Program is concerned with the policy relevance of the research projects it supports, and the debate around therapeutic communities in Brazil points to a clear need for impartial research that addresses different cross-cutting aspects of this topic in its various dimensions: legal, regulatory, health, and observance of human rights, among others. It is in this context that we publish this working paper series on therapeutic communities in Brazil. The eight articles that compose this series offer a multidisciplinary view of the topic, expanding and deepening the existing literature and offering powerful contributions to a substantive analysis of therapeutic communities as instruments of public policy. Although they can be read separately, it is as a whole that the strength of the eight articles that make up this series becomes more evident. Even though they offer different perspectives, they are complementary works in—and already essential for—delineating and understanding the phenomenon of therapeutic communities in Brazil.
Rezidanslarda Konfor Koşullarının Pandemi Dönemi Etkisinde Analizi
Authors: GALİ TAŞÇI Gözde
Published: June 2021

Endüstri Devrimi sonrası hızla değişen barınma modeli, özellikle sanayi kenti olarak dönüşen ve artık metropol olarak andığımız kentlerde, insanların yeni yaşam tarzları ve ihtiyaçları doğrultusunda geçirdikleri değişimler sonucu, lüks yüksek katlı konut binaları ile bir karşılık bulmuştur. Bu bina tipolojisi, konutlarda ‘Rezidans’ olarak adlandırılmaktadır. Bu tipoloji, ofis binalarında da kendini göstermektedir ve yoğun uygulanmasının temel sebeplerinden biri de artan nüfusa oranla kent merkezinde azalan arsa alanları ve artan arsa fiyatları sebebi ile daha küçük alanlarda daha çok yaşam veya çalışma biriminin yerleştirilebilmesidir. Özellikle sanayinin ön plana çıkması ve iş yaşantısının hayatlarımızda ön sıraya yerleşmesi/yerleştirilmesi ile konut içlerinde ihtiyaç minimalimize olmuş, fakat bu denli yoğun çalışan insan, kendini konforlu bir alanda görme ihtiyacını sürdürdüğü için ‘lüks bina’ kavramını barındıran rezidanslar, insanların ihtiyacına cevap verebilmiştir. Bu doğrultuda, bu konut tipolojisi oldukça talep görmeye başlamıştır. Yaşayış tarzımız üzerinde önemli bir değişiklik yaratan COVID-19 virüs salgınına kadar rezidans binaları ve kullanım sebepleri çoğunlukla sosyo-kültürel açılardan incelenmekteydi. Fakat salgın sonrası konut birimlerinde zorunlu ve sonrasında da tercihen eski yaşantımıza kıyasla oldukça uzun zaman geçirmemiz doğrultusunda, yaşadığımız bu konut birimleri ile daha önce etmediğimiz kadar çok temas ettik. Bunun sonucu olarak da önceden farkında olmadığımız ve ihtiyacımıza tamamen cevap aldığımızı düşündüğümüz veya tam olarak cevap vermese de fark edemediğimiz, bu konut tipolojisine ait belirgin bazı eksiklikleri fark etmeye başladık. Bu eksiklikler kullanıcı konforu üzerinde önemli etkilere sahip olarak, bireylerin psikolojilerini ve dolayısıyla davranışlarını olumsuz yönde etkileyebilmektedir. Bu doğrultuda, genel bir analiz yapılabilmesi amacıyla rezidans binalarında konut için konfor analizini içeren bir anket hazırlayarak İstanbul içinde rezidansta yaşayan sakinlere ulaşılmaya çalışıldı. Anket sonuçları bazı yargılara varılabilecek şekilde belirgin sonuçlar verdi fakat 3 adet tip rezidans planı ile bu sonuçlar tekrar analiz edildi. Özetle, özellikle pandemi sebebi ile değişen algı doğrultusunda kullanıcı konforunu sağlayabilmek amacıyla, rezidans binalarının bireylerin dış mekan temas ihtiyacını karşılamaya yönelik geliştirilmesi ve iç mekan plan organizasyonunda değişiklikler yapılması gerektiği ortaya çıkmıştır.
Güncel Gelişmeler Işığında Türkiye’de Yeni Büyükşehir Modelinde Kırsal Mahallelerin Değerlendirilmesi
Authors: EKİNCİ Emre
Published: June 2021

Türkiye’de büyükşehir belediyesi modeli, 6360 sayılı Kanun ile getirilen değişikliklerin 2014 yılı yerel seçimleri ile birlikte yürürlüğe girmesi ile yeni bir boyuta taşınmıştır. Bu modelde büyükşehir olan illerin mülki sınırı ile büyükşehir belediyesi sınırı bütünleştirilmiş; bu sınırlar içerisinde kalan, kırsal/kentsel, şehir merkezine uzak/yakın, nüfusu büyük/küçük tüm belde ve köylerin tüzel kişilikleri son bulmuştur. Tüzel kişilikleri kaldırılan bu birimler, bağlı bulundukları büyükşehir ilçe belediyelerinin birer mahallesi olmuşlardır. Bu şekilde büyükşehir sınırları içerisinde kalan ve mahalle statüsüne dönüştürülen köyler ve şehirden uzak, kırsal özellik taşıyan beldeler, literatürde “kırsal mahalle” olarak adlandırılmıştır. Çalışmada, öncelikle yeni büyükşehir modelinde kırsal mahalle olarak nitelendirilen köy ve beldeler tanımlanmış, kırsal mahallelere olan etkileri kapsamında 6360 sayılı Kanun’a yöneltilen eleştirilere yer verilmiş, konuya ilişkin güncel resmî belgeler aktarılmış, yeni bütçe teklifinin kırsal alanla ilişkili olanları belirtilmiş ve sonuç olarak mevcut durum ile 16 Ekim 2020 tarihinde yürürlüğe giren yeni yasanın bu kapsamdaki düzenlemeleri değerlendirilmiştir. Çalışmanın amacı, yerel yönetimlerle ilgili güncel düzenlemeler ışığında konuyla ilgilenen araştırmacılara kaynak olmak ve kırsal mahallelerin daha iyi yönetilebilirliğinin bilimsel olarak tartışılmasını sağlamaktır.
ACOLHENDO QUEM CUIDA
Authors: Oliveira Brena Costa de , Silva Hengrid Graciely Nascimento , Sousa Letícia Graziela Lopes França , Silva Valéria Monteiro Beserra da , Torres Michelle Vicente
Published: June 2021

O objetivo do presente trabalho é apresentar as ações de acolhimentos carinhosos e sensíveis ocorridas no projeto “Orientação a cuidadores de crianças autistas: acolhendo para a produção sensível e criativa do cuidado”, expondo as atividades executadas e metodologias utilizadas. A descrição das atividades é feita através de um relato de experiência reflexivo, redigido de acordo com as práticas de acolhimento vivenciadas em um projeto de extensão universitária de orientações a cuidadores de pessoas com Transtorno do Espectro Autista. A experimentação e a sustentação do acolhimento como prática de educação em saúde revela-se exitosa, consolidando o conhecimento da academia em práticas extramuros. Diante do exposto, conclui-se que a utilização de metodologias sensíveis e criativas de acolhimento,  com base na educação popular em saúde e expressões artísticas, é de grande valia.
IMPLANTAÇÃO DE FERRAMENTA PARA REGISTRO DO ACOMPANHAMENTO PRÉ-NATAL EM UNIDADE BÁSICA DE SAÚDE
Authors: Silva Pedro Henrique dos Santos , Moraes Isadora Maria de Almeida , Borges Mariana Veras Rocha , Cirilo Sara Sabrina Vieira , Dinato Ariane Oliveira , Gonçalves Vasco Macêdo , Silva José Vitor Mota de Moura , Lima Cleison Bruno Machado , Santos Karina Rodrigues dos , Sousa Júnior Severino Cavalcante de
Published: June 2021

o presente artigo objetiva relatar a experiência e contribuições de acadêmicos do curso de medicina da Universidade Federal do Delta do Parnaíba na aplicação do projeto de extensão intitulado “Adoção de Ficha-Espelho no Pré-Natal de Mulheres da UBS São Vicente de Paula, Parnaíba-PI”. Inseridos no serviço de uma Unidade Básica de Saúde, os acadêmicos construíram uma análise situacional e elaboraram uma proposta de intervenção que buscou solucionar o problema do preenchimento inadequado dos prontuários de atendimento pré-natal. Para isso, elaboraram uma ferramenta de preenchimento rápido e fácil, baseada em levantamento bibliográfico realizado pelos alunos. Após todo esse processo de vivência tido pelos participantes do projeto de extensão, viu-se que a imersão de acadêmicos nos serviços de saúde é benéfica tanto para a formação de futuros profissionais quanto para o serviço que os acolhe, ressaltando a importância de valorização de atividades extensionistasaseada em levantamento bibliográfico realizado pelos alunos. Após todo esse processo de vivência tido pelos participantes do projeto de extensão, viu-se que a imersão de acadêmicos nos serviços de saúde é benéfica tanto para a formação de futuros profissionais quanto para o serviço que os acolhe, ressaltando a importância de valorização de atividades extensionistas.
Estimation of kinetic energy harvesting potential for self-powered wearable devices with 67,000 participants from the UK Biobank
Authors: Beach Christopher , Casson Alex
Published: June 2021

Energy harvesting from human motion can reduce reliance on battery recharging in wearable devices and lead to improved adherence. However, to date, studies estimating energy harvesting potential have largely focused on small scale, healthy, population groups in laboratory settings rather than free-living environments with population level participant numbers. Here, we present the largest scale investigation into energy harvesting potential by utilising the activity data collected in the UK Biobank from over 67,000 participants. This paper presents detailed stratification into how the day of the week and participant age affect harvesting potential, as well as how the presence of conditions (such as diabetes, which we investigate here), may affect the expected energy harvester output. We process accelerometery data using a kinetic energy harvester model to investigate power output at a high temporal resolution. Our results identify key differences between the times of day when the power is available and an inverse relationship between power output and participant age. We also identify that the presence of diabetes substantially reduces energy harvesting output, by over 21%. The results presented highlight a key challenge in wearable energy harvesting: that wearable devices aim to monitor health and wellness, and energy harvesting aims to make devices more energy autonomous, but the presence of medical conditions may lead to substantially lower energy harvesting potential. The findings indicate how it is challenging to meet the required power budget to monitor diseases when energy autonomy is a goal.
A Novel Low-Power Encryption Scheme Based on Chaotic Dynamic Triple Pendulum System for Wide Range of Applications
Authors: Paul Bikram
Published: June 2021

Recent advancements in the domain of quantum computing are posing a security threat to the classical cryptography algorithms. Popular symmetric and asymmetric cryptosystems including RSA, ECC, DES, Diffie-Hellman etc. can be broken by a quantum computer executing Shors and Grovers algorithms. This motivated scientific community to design newer encryption schemes to address security vulnerabilities. Hash, Code, Lattice, Multivariate Polynomial based cryptography algorithms, known as post-quantum cryptography algorithms (PQC), exhibit resistance against classical as well as quantum crypto-attacks. Apart from these PQC algorithms, a relatively new method of constructing cryptosystems utilizing the unpredictability property of discrete chaotic dynamic systems has become noteworthy from the practical perspective. In this paper, we present a novel approach to design an encryption scheme based on the chaotic dynamic physical system, which is derived from a mechanical model depicting nonlinear dynamics and exhibits resistance against various attacks. The effectiveness of the proposed cryptography scheme is validated against various standard tests, such as Lyapunov exponents test, bifurcation diagrams, sensitivity to parametric and to initial values, ergodicity, collision test, NIST, diehard randomness test etc. This algorithm is also verified through an FPGA implementation to assess its usage in low power high throughput applications as well. The power consumption and resource utilization of the proposed design are 56 % and 72.6 %, respectively, as compared to other known methods while operating at 628.14 MHz. It is observed that the proposed design can work efficiently with various wide range of applications. It is observed that the proposed design can work efficiently with various wide range of applications. The average power and area of its ASIC implementation at 180 nm technology are 61.8836 mW and 0.20374 mm 2 at 250 MHz, respectively.