bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Traffic Engineering for Resilient Services in NFV-Based Connected Autonomous Vehicles
Authors: Pham Tuan-Minh , Nguyen Thi-Minh
Published: December 2021

The massive amount of data generated daily by various sensors equipped with connected autonomous vehicles (CAVs) can lead to a significant performance issue of data processing and transfer. Network Function Virtualization (NFV) is a promising approach to improving the performance of a CAV system. In an NFV framework, Virtual Network Function (VNF) instances can be placed in edge and cloud servers and connected together to enable a flexible CAV service with low latency. However, protecting a service function chain composed of several VNFs from a failure is challenging in an NFV-based CAV system (VCAV). We propose an integer linear programming (ILP) model and two approximation algorithms for resilient services to minimize the service disruption cost in a VCAV system when a failure occurs. The ILP model, referred to as TERO, allows us to obtain the optimal solution for traffic engineering, including the VNF placement and routing for resilient services with regard to dynamic routing. Our proposed algorithms based on heuristics (i.e., TERH) and reinforcement learning (i.e., TERA) provide an approximation solution for resilient services in a large-scale VCAV system. Evaluation results with real datasets and generated network topologies show that TERH and TERA can provide a solution close to the optimal result. It also suggests that TERA should be used in a highly dynamic VCAV system.
Balancing Complex Signals for Robust Predictive Modeling
Authors: Aman Fazal , Rauf Azhar , Ali Rahman , Hussain Jamil , Ahmed Ibrar
Published: December 2021

Robust predictive modeling is the process of creating, validating, and testing models to obtain better prediction outcomes. Datasets usually contain outliers whose trend deviates from the most data points. Conventionally, outliers are removed from the training dataset during preprocessing before building predictive models. Such models, however, may have poor predictive performance on the unseen testing data involving outliers. In modern machine learning, outliers are regarded as complex signals because of their significant role and are not suggested for removal from the training dataset. Models trained in modern regimes are interpolated (over trained) by increasing their complexity to treat outliers locally. However, such models become inefficient as they require more training due to the inclusion of outliers, and this also compromises the models’ accuracy. This work proposes a novel complex signal balancing technique that may be used during preprocessing to incorporate the maximum number of complex signals (outliers) in the training dataset. The proposed approach determines the optimal value for maximum possible inclusion of complex signals for training with the highest performance of the model in terms of accuracy, time, and complexity. The experimental results show that models trained after preprocessing with the proposed technique achieve higher predictive accuracy with improved execution time and low complexity as compared to traditional predictive modeling.
Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles
Authors: Elsisi Mahmoud , Tran Minh-Quang
Published: December 2021

This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on a developed deep neural network (DNN) with a rectified linear unit in order to provide reliable and secure online monitoring for automated guided vehicles (AGVs). The developed IoT architecture based on a DNN introduces a new approach for the online monitoring of AGVs against cyber attacks with a cheap and easy implementation instead of the traditional cyber attack detection schemes in the literature. The proposed DNN is trained based on experimental AGV data that represent the real state of the AGV and different types of cyber attacks including a random attack, ramp attack, pulse attack, and sinusoidal attack that is injected by the attacker into the internet network. The proposed DNN is compared with different deep learning and machine learning algorithms such as a one dimension convolutional neural network (1D-CNN), a supported vector machine model (SVM), random forest, extreme gradient boosting (XGBoost), and a decision tree for greater validation. Furthermore, the proposed IoT architecture based on a DNN can provide an effective detection for the AGV status with an excellent accuracy of 96.77% that is significantly greater than the accuracy based on the traditional schemes. The AGV status based on the proposed IoT architecture with a DNN is visualized by an advanced IoT platform named CONTACT Elements for IoT. Different test scenarios with a practical setup of an AGV with IoT are carried out to emphasize the performance of the suggested IoT architecture based on a DNN. The results approve the usefulness of the proposed IoT to provide effective cybersecurity for data visualization and tracking of the AGV status that enhances decision-making and improves industrial productivity.
Evaluating the Response Time of an Optical Gas Sensor Based on Gasochromic Nanostructures
Authors: Nechepurenko Igor A. , Kulikova Daria P. , Kornienko Vladimir V. , Afanasiev Konstantin N. , Shekoyan Landzhik A. , Baryshev Alexander V. , Dorofeenko Alexander V.
Published: December 2021

We propose a method for determining complex dielectric permittivity dynamics in the gasochromic oxides in the course of their interaction with a gas as well as for estimating the diffusion coefficient into a gasochromic oxide layer. The method is based on analysis of a time evolution of reflection spectra measured in the Kretschmann configuration. The method is demonstrated with a hydrogen-sensitive trilayer including an Au plasmonic film, WO3 gasochromic oxide layer, and Pt catalyst. Angular dependences of the reflectance as well as transmission spectra of the trilayer were measured in series at a constant flow of gas mixtures with hydrogen concentrations in a range of 0–0.36%, and a detection limit below 40 ppm (0.004%) of H2 was demonstrated. Response times to hydrogen were found in different ways. We show that the dielectric permittivity dynamics of WO3 must be retrieved in order to correctly evaluate the response time, whereas a direct evaluation from intensity changes for chosen wavelengths may have a high discrepancy. The proposed method gives insight into the optical properties dynamics for sensing elements based on gasochromic nanostructures.
The Compact Support Neural Network
Authors: Barbu Adrian , Mou Hongyu
Published: December 2021

Neural networks are popular and useful in many fields, but they have the problem of giving high confidence responses for examples that are away from the training data. This makes the neural networks very confident in their prediction while making gross mistakes, thus limiting their reliability for safety-critical applications such as autonomous driving and space exploration, etc. This paper introduces a novel neuron generalization that has the standard dot-product-based neuron and the radial basis function (RBF) neuron as two extreme cases of a shape parameter. Using a rectified linear unit (ReLU) as the activation function results in a novel neuron that has compact support, which means its output is zero outside a bounded domain. To address the difficulties in training the proposed neural network, it introduces a novel training method that takes a pretrained standard neural network that is fine-tuned while gradually increasing the shape parameter to the desired value. The theoretical findings of the paper are bound on the gradient of the proposed neuron and proof that a neural network with such neurons has the universal approximation property. This means that the network can approximate any continuous and integrable function with an arbitrary degree of accuracy. The experimental findings on standard benchmark datasets show that the proposed approach has smaller test errors than the state-of-the-art competing methods and outperforms the competing methods in detecting out-of-distribution samples on two out of three datasets.
LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection
Authors: Mehmood Abid
Published: December 2021

The continuous development of intelligent video surveillance systems has increased the demand for enhanced vision-based methods of automated detection of anomalies within various behaviors found in video scenes. Several methods have appeared in the literature that detect different anomalies by using the details of motion features associated with different actions. To enable the efficient detection of anomalies, alongside characterizing the specificities involved in features related to each behavior, the model complexity leading to computational expense must be reduced. This paper provides a lightweight framework (LightAnomalyNet) comprising a convolutional neural network (CNN) that is trained using input frames obtained by a computationally cost-effective method. The proposed framework effectively represents and differentiates between normal and abnormal events. In particular, this work defines human falls, some kinds of suspicious behavior, and violent acts as abnormal activities, and discriminates them from other (normal) activities in surveillance videos. Experiments on public datasets show that LightAnomalyNet yields better performance comparative to the existing methods in terms of classification accuracy and input frames generation.
Carbon Footprint Assessment in Nature-Based Conservation Management Estates Using South African National Parks as a Case Study
Authors: Phophe Paulina A. , Masubelele Mmoto L.
Published: December 2021

Nature-based conservation management (NBCMs) estates are seen as natural solutions to climate change and hence immune to harmful greenhouse gas (GHG) emissions. However, NBCMs, in their daily operations to protect and conserve biodiversity, may result in GHG emissions. These may come as a significant carbon burden. This is the first study based on a literature review to look at the carbon footprint of an entire conservation estate operation and management. South African National Parks (SANParks) aimed to contribute to national targets by reducing their fossil-fuel-generated energy consumption by 2% per year until achieving carbon neutrality. The objectives of this paper were (1) to quantify the SANParks C emissions profile at the organization and individual park level and develop recommendations to sustainably reduce carbon emissions and (2) to suggest alternative scenarios that SANParks could follow to achieve zero energy emissions. The study presented an audit analysis of the emission sources linked to SANParks’ daily activities over a five-year period (2015–2019) using the GHGs protocol corporate accounting and reporting standard methodology. Over the reference period, SANParks emitted an average of 73,732 t of carbon dioxide equivalent (tCO2e) per year. Most emissions came from electricity usage, 40,681 tCO2e (55%), followed by fuel usage for stationary combustion at 26,088 tCO2e (35%), and both account for 90% of SANParks’ total emissions. Results have shown the variation amongst individual parks in GHG emission and intensity ratio among the different parks. Total SANParks emission showed a significant relationship with Scope 2, followed by number of employees, building size, Scope 3, and Scope 1, in order. This work recommends how SANParks estate may reduce their carbon emissions at a national and individual level. SANParks achieved 1% year-on-year energy emissions reduction through its renewable base; however, an ambitious target of 8% would be appropriate for a 1.5 °C future based on the energy scenario planning.
China’s Carbon Emission Trading Pilot Policy and China’s Export Technical Sophistication: Based on DID Analysis
Authors: Zhou Chaobo , Zhou Shuang
Published: December 2021

This paper takes China’s carbon emission trading pilot policy as a quasi-natural experiment, and adopts a difference-in-difference approach and data from 30 provinces in China from 2008 to 2016 to empirically study the influence of this policy on China’s export technical sophistication. The empirical analysis revealed that the policy can generate a Porter effect and progressively promote China’s export technical sophistication by reinforcing carbon productivity. By analyzing the regional heterogeneity and influence channels, the policy is found to work better in the central-western region than in the eastern region. The reason for this finding is that the policy has brought innovation offset effects to the central-western region and increased carbon productivity, but the policy has not improved carbon productivity in the eastern region. By studying the effect of three measures of policy implementation on export technical sophistication, we found that restricting carbon emission quotas distributed to participating enterprises is necessary. In addition, we found that the financial punishment method for non-performance is advantageous to the enhancement of export technical sophistication. These research conclusions can provide directions and policy recommendations for upgrading the emissions trading market, as well as a learning case and some experience for countries that have not yet established carbon trading markets.
On the Crossing Numbers of the Join Products of Six Graphs of Order Six with Paths and Cycles
Authors: Staš Michal
Published: December 2021

The crossing number of a graph G is the minimum number of edge crossings over all drawings of G in the plane. The main purpose of this paper is to determine the crossing numbers of the join products of six symmetric graphs on six vertices with paths and cycles on n vertices. The idea of configurations is generalized for the first time onto the family of subgraphs whose edges cross the edges of the considered graph at most once, and their lower bounds of necessary numbers of crossings are presented in the common symmetric table. Some proofs of the join products with cycles are done with the help of several well-known auxiliary statements, the idea of which is extended by a suitable classification of subgraphs that do not cross the edges of the examined graphs.
Efficacy of Ventilation, HEPA Air Cleaners, Universal Masking, and Physical Distancing for Reducing Exposure to Simulated Exhaled Aerosols in a Meeting Room
Authors: Coyle Jayme P. , Derk Raymond C. , Lindsley William G. , Blachere Francoise M. , Boots Theresa , Lemons Angela R. , Martin Stephen B. , Mead Kenneth R. , Fotta Steven A. , Reynolds Jeffrey S. , McKinney Walter G. , Sinsel Erik W. , Beezhold Donald H. , Noti John D.
Published: December 2021

There is strong evidence associating the indoor environment with transmission of SARS-CoV-2, the virus that causes COVID-19. SARS-CoV-2 can spread by exposure to droplets and very fine aerosol particles from respiratory fluids that are released by infected persons. Layered mitigation strategies, including but not limited to maintaining physical distancing, adequate ventilation, universal masking, avoiding overcrowding, and vaccination, have shown to be effective in reducing the spread of SARS-CoV-2 within the indoor environment. Here, we examine the effect of mitigation strategies on reducing the risk of exposure to simulated respiratory aerosol particles within a classroom-style meeting room. To quantify exposure of uninfected individuals (Recipients), surrogate respiratory aerosol particles were generated by a breathing simulator with a headform (Source) that mimicked breath exhalations. Recipients, represented by three breathing simulators with manikin headforms, were placed in a meeting room and affixed with optical particle counters to measure 0.3–3 µm aerosol particles. Universal masking of all breathing simulators with a 3-ply cotton mask reduced aerosol exposure by 50% or more compared to scenarios with simulators unmasked. While evaluating the effect of Source placement, Recipients had the highest exposure at 0.9 m in a face-to-face orientation. Ventilation reduced exposure by approximately 5% per unit increase in air change per hour (ACH), irrespective of whether increases in ACH were by the HVAC system or portable HEPA air cleaners. The results demonstrate that mitigation strategies, such as universal masking and increasing ventilation, reduce personal exposure to respiratory aerosols within a meeting room. While universal masking remains a key component of a layered mitigation strategy of exposure reduction, increasing ventilation via system HVAC or portable HEPA air cleaners further reduces exposure.
OS EFEITOS DA CRIOTERAPIA NO TRATAMENTO FISIOTERAPÊUTICO DAS LESÕES MUSCULARES DESPORTIVAS
Authors: Rosa Carlos Gustavo Sakuno , Silva Nicole , Gomes Vanessa Andrade
Published: December 2021

O presente artigo tem por objetivo apresentar as condutas mais frequentes da crioterapia no tratamento fisioterapêutico das principais lesões desportivas. Fazendo o comparativo dos protocolos quanto a aplicação do gelo nas lesões dos atletas, onde foram encontradas variações entre 15 e 30 minutos. Como a crioterapia oferece os inúmeros benefícios, há necessidade de quantificar a resposta da alteração da sensibilidade após aplicação dessa técnica, pois os profissionais da saúde utilizam alguns recursos que exigem a redução da sensibilidade. Entretanto, em algumas situações, a redução da sensibilidade expõe o paciente a riscos. Apesar do uso difundido da crioterapia, ainda existem divergências na literatura quanto à efetividade de seus vários métodos de aplicação e quanto à quantificação das variáveis como frequência, duração e melhor momento de utilização. O tempo de aplicação da crioterapia varia entre 10 a 30 minutos, de duas a quatro vezes ao dia.
Stock market as a catalyst of ESG transformation
Authors: Altukhova E.
Published: December 2021

The modern climate agenda requires tremendous efforts from all market participants, including in terms of improving management mechanisms. It is important to have a working toolkit available that can fulfill the interests of all participants. In this regard, the stock market comes to the fore, which is acquiring special significance today. The emergence of green bonds, as well as other methods of hedging risks using stock market instruments, is becoming an integral part of the ESG agenda. In recent years, the world community has been trying to focus its efforts as much as possible on achieving the principles of sustainable development through the stock market. In these conditions, the existence of well-developed mechanisms for regulating the issue and circulation of financial instruments that contribute to solving climatic and social problems becomes a rather important aspect. The article discusses the features of the use of green and social bonds. The contradictions and systemic shortcomings that hinder the process of introducing «green» financial products have been identified. The experience of Russian and foreign financial institutions in the field of responsible investment has been studied. The author also analyzed the regulatory practice and formulated proposals to ensure the consistency of interests of the participants in the process. The paper gives recommendations in terms of synchronizing work on the formation of ESG-ratings, and also substantiates the importance of the management component in the sustainable development system.
Risk controlling system at the university
Authors: Spodakh G.
Published: December 2021

The description of the structure and elements of the risk controlling system is given; the tools for risk controlling, the tasks of risk controllers were considered, and options for positioning the risk controlling unit in the organizational structure of the university management were proposed; Insufficient supply in the market of software for risk management and controlling at the university was noted.
Government support measures: an effective choice process
Authors: Zavalko N. , Eremin S.
Published: December 2021

The article discusses issues related to the ability of industrial enterprises to navigate the existing range of government support measures and make their effective choice. The author proposes an algorithm that will allow enterprises, after analyzing their strategic goals, to identify projects that allow them to implement priority areas for a particular enterprise and select the most effective measures of state support. The algorithm has been tested on the basis of support measures provided by the industrial development fund, practices for the successful implementation of support measures at industrial enterprises are given.
Redes sociales y rendimiento académico en el área de comunicación en estudiantes de educación básica regular del Perú
Authors: Paniora Marroquín Fanny María , Mauricio Avalos Rubén Moisés , Paniora Marroquín Yda Juana , Quiñones Li Aura Elisa
Published: December 2021

La presente investigación tiene como objetivo general Determinar la relación entre las redes sociales con el rendimiento académico en el área  de  comunicación en los estudiantes de 4to y 5to año de secundaria. Este estudio fue de tipo básico, con un diseño no experimental transversal, de nivel descriptivo correlacional, la población del estudio estuvo constituida por 194 estudiantes, con una muestra probabilística estratificada con aplicación de fórmula estadística con un total  de  129 estudiantes, se empleó la técnica de  la encuesta y la observación, se utilizaron como instrumentos se el cuestionario sobre redes sociales empleando la escala de Likert con una confiabilidad alta; y  el  registro de actas de evaluación de la asignatura de comunicación. Para la validación se aplicó el coeficiente de correlación de Spearman, con un valor de rs = 0,513, la cual muestra una correlación moderada positiva, con un p_valor = 0,000 < 0,05. Concluyendo que existe relación significativa entre las redes sociales con el rendimiento académico en el área de comunicación en los estudiantes de 4to y 5to año de secundaria.
Entrepreneurial Orientation among Arts Managers in Western Australia
Authors: Campbell Alistair , Rusak Helen
Published: December 2021

As a region, Western Australia is the largest and most isolated state in Australia, and supports a community of vibrant Arts Organisations. The Arts is widely recognised for its creativity and innovation, but what about the managers of these organisations, are they equally innovative, or entrepreneurial? Rusak (2016) explored this question and found that their Entrepreneurial Orientation (EO) matched the three core dimensions of Innovativeness, Pro-activeness, and Risk-taking, but the study did not include the other two EO dimensions of Autonomy and Competitive Aggressiveness. It did however observe that "arts companies don’t generally try to take offensive postures or aggressive responses to competitive threats and rather work collaboratively, as this sample shows". This assertion was not the focus of the article, nor was it explored in any depth in that paper.

There are at least two possibilities here: it could be a passive aversion to competitive aggression, or a more deliberate counter-behaviour of collaboration. Either of these would appear to contradict the EO construct, in particular the expectation that all EO dimensions covary, which makes it interesting from a theory perspective. This paper explores this challenge to the EO theory in some detail, using software-aided analysis to tease out the finer nuances in this dimension of Competitive Aggressiveness. While the sample size and its geographical confines limit the generalisations that can be made, there is solid evidence that in this sample of Arts Managers, the Arts acts as a powerful contextual modifier to the expectations of EO theory. The dimension of Competitive Aggressiveness has not simply been altered or toned-down by this context, it has been replaced by a polar opposite.
Reflexões sobre currículo integrado na educação do campo
Authors: Santos Josenilde Lima dos , Carvalho Odair França de
Published: December 2021

A história da educação de jovens e adultos no Brasil tem uma origem marcada por políticas compensatórias, descontínuas e sem um verdadeiro compromisso social com a oferta de uma educação de qualidade social. Um modelo educacional que se contrapõe à realidade, necessidades e dinamicidade dos camponeses, que anseiam por uma escola que possa ser um espaço de vivências pedagógicas, cujo currículo valorize suas identidades, que possibilite aprendizagens mais significativas e a superação da fragmentação dos saberes. Esta apresentação é um recorte da pesquisa do Mestrado em Educação (PPGFPPI) da Universidade de Pernambuco - e teve como foco investigar a prática educativa de professores/as a partir do conceito de currículo integrado em turmas de Educação de Jovens e Adultos do Campo, em uma escola da rede pública estadual, situada na zona rural da cidade de Petrolina/PE. A metodologia orientou-se pelos princípios da abordagem qualitativa, do tipo descritiva e exploratória e os dados foram coletados por meio da análise documental, observação, aplicação de questionários e realização de entrevistas. As investigações sinalizaram que a práxis investigada está fundamentada na proposta de Educação do Campo da rede estadual de PE, cujos princípios encontram-se alicerçados na concepção de currículo integrado, na vivência do planejamento coletivo e reconhecimento do contexto escolar, contudo, apresentam compreensão superficial quanto ao entendimento do movimento interdisciplinar na prática, além da necessidade do fortalecimento do processo formativo individual e coletivo.
Energy efficiency using Distributed Generation; Cafeteria of Engineer Faculty Campeche, Mexico
Authors: Chan-Gonzalez Jorge J. , Saravia-Pérez Isaac A. , Lezama-Zárraga Francisco , Shih Meng Yen
Published: December 2021

In the present work, an integral design of the cafeteria located at Faculty of Engineering of Autonomous University of Campeche is carried out. Four scenarios of Photo Voltaic (PV) generation have been studied. A 14 PV modules arrangement of 440 each, with azimuthal angle of 180º and a slope angle of 15º; the other is similar to the previous, but the slope angle was 19.85º. The following was a 24 PV modules arrangement of 440, with an azimuthal angle of 218º and a slope angle of 15º. The last arrangement consists of 24 PV modules arrangement of 440, with azimuthal angle of 218º and a slope angle of 19.85º. Where all of them are associated with the economic aspect to obtain greater efficiency of the plant with minimum recovery time. The free software System Advisor Model (SAM) developed by the National Renewable Energy Laboratory (NREL) has been employed. Complete seasonal analysis has also been performed considering Gran Demanda Media Ordinaria en México (GDMO de CFE in Mexico) within the period January 2020 to March 2021. The best results are energy generation 17,570 kWh. Capacity factor 19%. Energy performance 1,671 kWh/kW. Performance relation 0.74. Leveled cost 5.39 ¢/kWh. And return on investment in 0.6 years. The GD-PV plant prevents the emission into the atmosphere of 778.85 kg of CO2 equivalent.
El "sueño chino" de Xi Jinping y su política exterior
Authors:   , D'Onofrio María Guillermina
Published: December 2021

La tesis analiza el primer periodo de mandato del presidente chino, dando especial énfasis a las características de su política exterior, desde la perspectiva del realismo neoclásico. Así, se trabaja fundamentalmente sobre la variable independiente doméstica, que tendrá un peso fundamental para el desarrollo del tema en cuestión.
Implikasi Hukum Penunjukan Ahli Waris Berdasarkan Klausul Asuransi Dalam Perspektif Hukum Waris Perdata
Authors: Suprima  , Rizkianti Wardani , Khoirur Rizal Lutfi
Published: December 2021

IMPLIKASI HUKUM PENUNJUKAN AHLI WARIS BERDASARKAN KLAUSUL PERJANJIAN ASURANSI DALAM PERSPEKTIF HUKUM WARIS PERDATA (BW)

RINGKASAN

 

Penelitian ini bertujuan untuk (1) mengkaji dan menganalisis legalitas penunjukan ahli waris berdasarkan klausul asuransi dalam perspektif hukum perdata (BW) dan, (2) mengkaji dan memberikan implikasi hukum penunjukan ahli waris berdasarkan klausul asuransi dalam perspektif hukum perdata (BW)

Jenis penelitian ini adalah penelitian hukum yuridis normatif. Secara normatif, penelitian ini mengacu kepada norma-norma serta asas-asas hukum yang terdapat dalam peraturan perundang-undangan, Menggunakan data sekunder yang terdiri dari bahan hukum primer, sekunder dan yang relevan dengan fenomena hukum yang berkaitan dengan penelitian ini. Data dikumpulkan dengan cara melakukan penelitian kepustakaan (library research)

Dalam klausul asuransi pihak tertanggung diberikan kebebasan untuk menunjuk ahli waris. Padahal dalam perspektif hukum waris perdata telah ditentukan golongan-golongan ahli waris dengan asas golongan sat menutup golongan dua, golongan dua menutup golongan tiga, golongan tiga dapat mewaris bersama golongan empat. Olehkarena itu dibutuhkan penelitian mengenai lealitas dan implikasi hukum penunjukan ahli waris b erdasarkan klausul perjanjian asuransi.

Kata Kunci :klausul asuransi; penunjukan; wahli waris ; implikasi hukum.
Bestuurszorg Pemerintah dalam Negara Hukum Indonesia
Authors: - Herman
Published: December 2021

Abstract

Bestuurszorg is a concept found in modern rule of law. The main obligations in the rule of law are given duties and functions to the maximum extent to create prosperity and welfare of the people. The preamble to the constitution in force in Indonesia requires the Indonesian government's obligation to create prosperity and welfare. The body (article by article) of this constitution also explicitly states that the State of Indonesia is a state of law based on popular sovereignty. This research is a normative legal research with a statutory approach and a conceptual approach. The results of this study suggest that the obligations of the government in the Indonesian State of Law are duties and functions to create prosperity and welfare of the people. The government is also given the power to implement the constitutions and laws through its authority in terms of making laws and regulations independently.

Keywords: State of law, bestuurszorg, prosperity and welfare.
Politik Hukum Pertanahan Dalam Rangka Percepatan Pendaftaran Tanah Di Indonesia
Authors: Kartono Satriyo Ardi
Published: December 2021

Pendaftaran tanah merupakan kegiatan dari pemerintah untuk menjamin kepastian dan perlindungan hukum atas kepemilikan tanah di seluruh wilayah Republik Indonesia. Pendaftaran tanah merupakan hal yang penting, selain karena sebagai bentuk kepastian dan perlindungan hukum dari pemerintah, juga bertujuan untuk mewujudkan tertib administrasi, mencegah terjadinya konflik dan sengketa pertanahan, dan meningkatkan taraf hidup masyarakat. Kebijakan pemerintah mengenai pendaftaran tanah sudah ada sejak Indonesia merdeka, masa orde lama, orde baru hingga orde reformasi sekarang ini. Namun, dalam perjalanannya pendaftaran tanah di Indonesia belum maksimal. Jumlah bidang tanah yang sudah terdaftar baru ±58 juta dari total ±126 juta bidang tanah, sehingga terdapat ±68 juta bidang tanah yang belum terdaftar. Oleh karena itu, untuk mempercepat pendaftaran tanah, Pemerintah membuat kebijakan Proyek Strategis Nasional yaitu Pendaftaran Tanah Sistematis Lengkap. Tipe penelitian ini adalah yuridis normatif dengan pendekatan perundang-undangan dan pendekatan analisis. Penelitian ini bertujuan untuk mengetahui dan menganalisis kebijakan pertanahan nasional dalam rangka percepatan pendaftaran tanah di Indonesia sejak Orde Lama hingga Orde Reformasi sekarang ini.
Molecular Genetic Analysis of the Causative Agents of COVID-19–Associated Bacterial Pneumonia in Hospitals of Rostov-on-Don
Authors: Noskov AK , Popova AYu , Vodop’ianov AS , Pisanov RV , Chemisova OS , Pavlovich NV , Demina YuV , Gudueva EN , Kovalev EV , Karpushchenko GV
Published: December 2021

Introduction: Hospital-acquired bacterial superinfections in COVID-19 patients are one of the main reasons of a severer course of the disease, a higher risk of adverse outcomes, and, consequently, a longer hospital stay. Much attention is, therefore, paid to the study of genetic markers enabling identification of clonal relationships between different isolates of the causative agents of bacterial co-infections, which, in their turn, help distinguish between hospital- and community-acquired cases of infectious diseases.
Objective: To study the genetic diversity and clonal relationships of A. baumannii and P. aeruginosa isolated from patients with a novel coronavirus disease (COVID-19) in Rostov-on-Don.
Materials and methods: We tested biological specimens from 217 in- and outpatients with community-acquired pneumonia in the city of Rostov-on-Don. Whole-genome sequencing of A. baumannii and P. aeruginosa strains was performed using a MiSeq sequencer (Illumina, USA). SNP markers were selected using proprietary software written in Java and Python. Cluster analysis and dendrogram construction were performed using the author's software using the UPGMA method. The MEGA 5 software was used to build the dendrogram.
Results: We established the spectrum of bacteria causing the development of secondary infection associated with COVID-19. Results of the whole-genome sequencing of 10 pneumonia pathogens isolated from patients with the novel coronavirus disease revealed clonality of individual strains. The nosocomial origin of two isolates of P. aeruginosa and two of A. baumannii was demonstrated and confirmed by the analysis of their plasmid composition. Secondary bacterial infection in COVID-19 patients may be attributed to the pathological development of the dominant microflora of the upper respiratory tract mucosa, which provides normal biocenosis in healthy people, or non-compliance with basic principles of hospital hygiene and infection control precautions.
Conclusion: The research helped determine the etiological structure of pneumonia in patients with COVID-19. Whole-genome sequencing and the following bioinformatic analysis revealed the nosocomial origin of a number of strains of P. aeruginosa and A. baumanii.
The institution of suspicion and the initial stage of the criminal process: interrelated prospects of development
Authors: Polikarpova Ol'ga
Published: December 2021

The article considers the question of the interdependence of the improvement of the institution of suspicion and the transformation of the initial stage of the Russian criminal process. The article highlights the problem of the legislative limitation of the period of the procedural status of a person as a suspect in the event of a criminal case being initiated not against him, but upon the commission of a crime and insufficient evidence of the involvement/non-involvement of such a person in a criminal offence committed at the initial stage of the investigation, which often does not allow avoiding unreasonable restrictions on the constitutional rights and freedoms of this participant in criminal proceedings. The relevant experience of some post-Soviet states that followed the path of a radical change in the criminal procedure model after the collapse of the USSR is analysed. The article compares the provisions of the criminal procedure legislation of the Russian Federation and the Kyrgyz Republic directly related to the institution of suspicion, including the moment of triggering criminal prosecution and the duration of a suspect’s keeping the specified procedural status. The arguments given in the article substantiate the need to reform the initial moment of the emergence of the procedural status of a suspect in Russian criminal proceedings and the associated expediency of abolishing the stage of initiation of a criminal case in order to increase the guarantee of the rights and legitimate interests of the person introduced into the procedural status we are analysing.
Demonstrative protest crime: the limits of criminological analysis
Authors: Il'in Ilya
Published: December 2021

Classical and network protest always assumes mass character. In this regard, the study of protest movements should assume: a) The analysis of many protest actions; b) the analysis of each individual protest action as a manifestation of the phenomenon of collective behavior. At the same time, the first level is important in the context of ensuring the representativeness of the second type of research. «Collective action» and «action of a team member» are fundamentally important. The regulatory system always deals with the assessment of the behavior of a particular person. In this regard, criminology and criminal law should not focus on the protest actions themselves, but on the behavior of individuals within the framework of these actions. In the theoretical analysis of the behavior of these individual participants of mass actions, it is necessary to distinguish: a) actions performed during a mass action, and actions that ensure the protest action itself, which can be performed both before and after it; b) actions of organizers, inspirers, leaders of protest actions, and actions of ordinary participants of the protest action; c) actions related to the organization and participation in mass actions coordinated by the official authorities, and in those not coordinated by the official authorities; d) lawful actions and illegal actions, and among the latter - criminally illegal and administratively illegal; e) intellectual, informational actions, and physical actions. To describe these actions, the article suggests using the term «demonstrative protest crimes». They are: a) associated with a well-defined sphere of public relations that arise in the process of interaction between a person, society and the authorities; b) they are imbued with the unity of motivational factors and the characteristics of the personality of the participants; c) they have a common determinative complex and a common mechanism for their commission; d) they have a distinct separation by the place and time of their commission; e) they assume a specific type and mechanism for the implementation of preventive measures. These signs allow us to consider demonstrative protest crimes as a separate, independent type of crime.
PENGARUH ASPEK SOSIAL BUDAYA TERHADAP SIKAP PELECEHAN SEKSUAL
Authors: Hedo Dian Jayantari Putri K , Putri Santy Irene , Kurniagung Philipus Prihantiko
Published: December 2021

Pelecehan seksual semakin marak terjadi baik di ruang tertutup ataupun terbuka. Pelecehan tersebut dapat dialami baik oleh perempuan ataupun laki-laki. Pelecehan seksual menimbulkan konsekuensi negatif salah satunya masalah kesehatan mental seperti depresi dan kecemasan, serta post traumatic syndrome disorder. Penelitian ini bertujuan untuk mengetahui pengaruh aspek sosial budaya terhadap sikap pelecehan seksual. Metode dalam penelitian ini menggunakan metode kuantitatif dengan desain cross-sectional. Penelitian ini melibatkan 300 responden yang dilaksanakan pada bulan Mei-Juni 2021. Teknik sampling yang digunakan dalam penelitian ini adalah probability sampling dengan menggunakan metode simple random sampling. Pengumpulan data dilakukan dengan menggunakan kuesioner yang disebarkan secara online menggunakan google form. Teknik analisis dalam penelitian ini menggunakan uji regresi linier berganda. Hasil penelitian menunjukkan bahwa usia, pendidikan, dan budaya berpengaruh signifikan terhadap sikap pelecehan seksual, sedangkan pekerjaan tidak berpengaruh terhadap sikap pelecehan seksual.
EFEKTIVITAS PERLUASAN KANTOR PEMERINTAHAN KOTA PEKANBARU DALAM RANGKA PEMERATAAN PEMBANGUNAN
Authors: Sucianti Adnina , Rusli Zaili
Published: December 2021

The Pekanbaru City Government Office Expansion Policy is one of the efforts made by the Pekanbaru City government to realize equitable development in the outskirts of Tenayan Raya District. It is hoped that the expansion of the government office can trigger development and development in Tenayan Raya District. The purpose of this study was to determine the effectiveness of the Pekanbaru City government office expansion policy in realizing equitable development and identify factors that support the implementation of this government office expansion policy. To achieve this goal, this study uses interactive analysis techniques with qualitative research types and the required data, both primary and secondary data obtained through interviews and documentation, are then analyzed based on research problems. This study shows that first, the policy for the expansion of Pekanbaru City government offices in the context of equitable development has been effective in terms of five indicators, namely Right Policy, Right Implementation, Right Target, Right Environment, and Right Process. Second, the supporting factors, namely the coordination between related parties is well established and the support from the community.Abstrak Kebijakan Perluasan Kantor Pemerintahan Kota Pekanbaru merupakan salah satu upaya yang dilakukan pemerintah Kota Pekanbaru untuk mewujudkan pemerataan pembangunan di daerah pinggiran Kecamatan Tenayan Raya. Diharapkan perluasan kantor pemerintahan tersebut dapat memicu perkembangan dan Pembangunan di Kecamatan Tenayan Raya. Tujuan dari penelitian ini adalah untuk mengetahui efektivitas dari kebijakan perluasan kantor pemerintahan Kota Pekanbaru mewujudkan pemertaan pembangunan serta mengidentifikasi faktor-faktor yang mendukung pelaksanaan kebijakan perluasan kantor pemerintahan ini. Untuk mencapai tujuan tersebut, penelitian ini menggunakan teknik analisis interaktif dengan jenis penelitian kualitatif dan data-data yang diperlukan baik data primer maupun data sekunder yang diperoleh melalui wawancara dan dokumentasi kemudian dianalisis berdasarkan masalah penelitian. Penelitian ini menunjukkan bahwa pertama, kebijakan perluasan kantor pemerintahan Kota Pekanbaru dalam rangka pemerataan pembangunan telah efektif dilihat dari lima indikator yaitu Tepat Kebijkan, Tepat Pelaksanaan, Tepat Target, Tepat Lingkungan, dan Tepat Proses. Kedua, faktor pendukung yaitu koordinasi antara pihak-pihak terkait terjalin dengan baik serta adanya dukungan dari masyarakat. Kata Kunci: Efektivitas, Kebijakan, Efektivitas Kebijakan, Perluasan Kantor Pemerintaha
Electro-optical property of polymerized liquid crystal devices using linearly polarized UV irradiation
Authors: Ito Masahiro , Kajiwara Kazuma , Takatoh Kohki
Published: December 2021

Display characteristics have a fairly strong dependence on the configuration of the liquid crystal (LC) molecules and interactions between the LC molecules and the alignment layer surface. To obtain LC devices with a fast response, the usage of reactive mesogens (RMs) have been studied. RMs polymerize in the vicinity of the alignment layer. We assessed the effectiveness of linearly polarized UV light for polymer formation. Three kinds of UV light, namely (i) non-polarized (ii) parallel to, and (iii) perpendicular to the rubbing direction, were used to irradiate LC cells with RM concentrations of 5 wt% and 10 wt%. For both RM concentrations, LC devices using LPUV parallel to the rubbing direction yielded the shortest decay times. SEM observation revealed that the fibrils polymerized linearly in the same direction on using LPUV parallel to the rubbing direction. The decay time was presumably shortened by the strong anchoring force and high alignment ability of the linear fibrils.
Rapid-deposited high-performance submicron encapsulation film with in situ plasma oxidized Al layer inserted
Authors: Qin Houyun , Liu Chang , Peng Chong , Lu Mingxin , Liu Yiming , Wei Song , Wang Hongbo , Yue Nailin , Zhang Wei , Zhao Yi
Published: December 2021

High-performance submicron thin-film encapsulation deposited rapidly under low temperature plays an important role in Si-based organic micro-displays. In this letter, the formation mechanism of high-performance encapsulation films consisting of SiO2/in situ plasma oxidized Al at 77 °C is explained. We think that the reason why the performance of encapsulation films deposited by this method behave better than the simple stacking of SiO2/Al2O3 is the formation of Al–O–Si bonds. By further optimizing the process parameters, the water vapor transmission rate and the transmittance in the visible region have been improved, which reached 10−6 g∙m−2∙d−1 and 90%, respectively.
OverFeat Network Algorithm for Fabric Defect Detection in Textile Industry
Authors: Kavitha S. , Manikandan J.
Published: December 2021

Automation of systems emerged since the beginning of 20th century. In the early days, the automation systems were developed with a fixed algorithm to perform some specific task in a repeated manner. Such fixed automation systems are revolutionized in recent days with an artificial intelligence program to take decisions on their own. The motive of the proposed work is to train a textile industry system to automatically detect the defects presence in the generated fabrics. The work utilizes an OverFeat network algorithm for such training process and compares its performances with its earlier version called AlexNet and VGG. The experimental work is conducted with a fabric defect dataset consisting of three class images categorised as horizontal, vertical and hole defects.
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ЖИЗНИ ШКОЛЬНИКОВ
Authors: Хажмухамбетова Ш.Ж. , Хажмухамбетова И.Ш.
Published: December 2021

В статье раскрывается роль физической культуры в жизни школьников. Физическая культура направлена на укрепление здоровья, развитие физических способностей человека, повышение работоспособности и потребности в ЗОЖ. Рассматриваются основные вопросы и средства физического воспитания школьников, специфика возраста определенных групп школьников.
ДВИГАТЕЛЬНАЯ АКТИВНОСТЬ И ЗДОРОВЬЕ ЧЕЛОВЕКА
Authors: Радуева М.А.
Published: December 2021

Постоянный поиск эффективных подходов к организации физического воспитания в высшем учебном заведении свидетельствует о важности рассмотрения такого вопроса, как двигательная активность и здоровье студенческой молодежи. В процессе занятий физическими упражнениями необходимо добиваться высокой двигательной активности и реализовывать оздоровительные функции, что в конечном итоге отразится на профессиональной пригодности будущих специалистов. Материалы статьи посвящены анализу двигательной активности и здоровью студенческой молодежи Северного Кавказа с учетом климатических условий применения средств физического воспитания. Анализ различных подходов к организации занятий по физическому воспитанию позволил разработать и обосновать собственное направление, которое требует дальнейшей экспериментальной проверки.
ПРИРОДНЫЕ ФАКТОРЫ ВЛИЯЮЩИЕ НА УРОВЕНЬ ЗДОРОВЬЯ ШКОЛЬНИКОВ
Authors: Батукаев А.А.
Published: December 2021

В нашей статье рассматриваются вопросы исследования закаливания организма детей, применяя природные факторы, в частности ежедневной ходьбы и бег детей босиком в период проведения исследования.
Объект исследования: уровень здоровья учащихся общеобразовательной школы.
Предмет исследования: природные факторы влияющие на здоровья школьников.
Цель исследования: исследование влияния природных факторов на уровень физического здоровья учащихся СОШ.
Задачи исследования:
1. Определить какие природные факторы больше влияют на уровень здоровья детей в нашей среднеобразовательной школе.
2. Провести оценку состояния физического здоровья наших учащихся.
3. Рассмотреть особенности закаливания организма учащихся во время занятий по физической культуре.
4. Провести исследования влияние на закаливания на физическое развитие школьников.
Гипотеза исследования: Предполагается, что использование природных факторов на занятиях по физической культуре, физическое здоровье учащихся улучшается.