bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Existence of Steady States of a Solar Power Plant Operating in the Distribution Network of an Electric Power System
Authors: Guryev V.V. , Kuvshinov V.V. , Yakimovich B.A. , Al Bairmani A.G. , Kakushina E.G.
Published: May 2023

The paper presents the results of studies of the steady-state operating modes of solar photovoltaic stations. Using the data obtained, it is possible to significantly increase the efficiency of using solar power generating plants and significantly increase the service life of additional equipment. The relevance of this study is due to the increasing demand for low-power electric power systems, as well as for renewable energy technologies. For the research, materials were taken from relevant international departments and agencies, the Ministry of Energy of the Russian Federation. In addition, the sources of data are publications and studies of Russian and foreign scientists on the issues under study. The Federal Law No. 35-FZ “On Electricity”, adopted in December 2019 by the State Duma of the Russian Federation, introduces such a concept as “Micro-generation facility”, thereby simplifying the possibility of installing, connecting to the general network of an electrical system, for example, a small solar power plant (SPP) consumer. Small-scale electric power industry at this stage of its life is an energy-efficient tool in the restructuring of the energy sector of the Russian Federation, contributing to the abandonment of the traditional centralized system based on the use of large sources of electric power production, and the transition to alternative methods of generating electricity based on the use of energy sources, updated for specific natural conditions and requests of potential consumers. Reducing pollutants and emissions that are harmful to human health can reduce the level of the existing burden on the country's economy and give an impetus to the development of its potential due to the freed up resources. reduce the burden on the economy, thereby freeing up resources for its growth. Of course, the transition from traditional economic models to the model of 'green growth' can be realized only if significant efforts are made to expand international cooperation in this area. At the same time, there is a need for consistent implementation of events at various levels on the part of all states, as well as maintaining the chosen political course for many years.
Publication Activity of Members of the Editorial Board of the Journal “Vestnik IzhGTU imeni M.T. Kalashnikova”
Authors: Murav’ov V.V.
Published: May 2023

The publication activity of members of the editorial board and external reviewers of the journal “Vestnik IzhGTU imeni M.T. Kalashnikova”, was analyzed. The citation rate of the editorial board members has grown significantly, in particular, the Hirsch index of the editorial board members has grown from 7 to 16 over 3 years, and up to 9 in Scopus and Web of Science. The percentile of the majority of members of the editorial board is high in the relevant sections of the SRSTI. Half of the members are in the 1st to 5th percentile, 6 members are in the 1st percentile. In 2021, the number of articles written by authors from other regions and organizations increased compared to 2019 from 15 to 65 per cent or more, respectively. The five-year Herfindahl index for citing journals in 2020 was 852, which is a good indicator. The Herfindahl index for the authors’ organizations dropped to 2666 and continues to decline. The largest number of articles during last 3 years (2019-2021) was published in the Mechanical Engineering section - 94 (57 %). The number of publications in the new section “Energy Systems and Complexes” is growing. The two-year self-citation rate of the journal does not exceed 21, and the five-year one - 16%. The ten-year h-index of the journal is 21. In accordance with the editorial policy of the journal, the authors significantly increased the number of references, analyzing the current state of the problem under discussion based on works published over the past 3-5 years in other journals, including foreign ones. The average number of citations in the lists of cited literature in 2020 was 17. The half-life of articles cited in the journal this year constituted 3.7. The average share of borrowed non-author's text in articles per year is decreasing, in 2018 it was 5.0 %, which is a consequence of the use of the anti-plagiarism system. The average h-index of the authors is low and is 5.8, which is associated with the growing number of young scientists and graduate students among authors and co-authors. The number of article views for the year increased to 25305, and downloads - up to 5210.
RELAZ Devices
Authors: Stollmann V. , Nikitin Yu.R. , Shoshin A.O.
Published: May 2023

The biggest energy resource on our world is the sun. Its energy is conserved literally everywhere, for example on wind or in wood. In this paper, we deal with one of the less known sun energy form. This new alternative and renewable energy resource was called “mountain energy”, because it is kept by trees growing in mountain ranges. The new energetic subsystem concept was designed to use this energy for empowering machines. Devices created in relation to this new conception was called “RELAZ devices” (Recuperative Cable Devices). Technical description of these hybrid devices is in the second focus part of this paper. RELAZ devices were initially designed for foresters working in mountain ranges. Principles used in RELAZ devices construction allows us to use them in working machines with combustion engines in common. RELAZ devices are hybrid devices. They are equipped with an internal combustion engine that only serves to charge a powerful energy battery. The charging process is carried out at the nominal speed of the internal combustion engine, which allows to reduce fuel consumption by 3-4 times. Therefore, RELAZ devices can be used profitably not only in mountainous areas, but also on the plain. The optimal mode of operation of RELAZ devices , which has a wider range than the classic machines, has been found. The specific energy of the RELAZ devices are less than that of the classic machines. It has been found that the use of a RELAZ cable car on the W30 forest cable car produced in Switzerland can save 780 litres per year of diesel fuel, which is 64 % of the savings. The results confirm the prospects and competitiveness of the RELAZ devices.
Structural Diagram of Vibration Protection Means of Building Structures with Moving Loads
Authors: Pushkarev I.A.
Published: May 2023

The methods of modeling the process of choosing methods and means of vibration protection for building structures with moving loads are considered based on a review of the literature on this topic. Structural analysis of vibration protection devices for building structures was carried out. Various options for reducing the negative impact of external influences in each specific case are proposed. Currently, building structures and buildings in general are under the influence of a significant number of sources of undesirable vibrations, both natural and technogenic. For example, in residential and public buildings the number of pumps, fans, air conditioners has increased, a large number of different machines, mechanisms and equipment is used. In the process of construction, as well as repair and reconstruction, the building is subjected to shock, mass (static), vibration and other effects. The increase in the number of transport and transport networks (which themselves are systems with moving loads) passing in the immediate vicinity of buildings and structures also affect them, both acoustically and mechanically. High-rise buildings are exposed to the force of the wind, buildings located in seismically hazardous areas - to seismic effects. It should be noted that the vast majority of vibration sources can be reduced to moving loads. Thus, at present, the task of reducing the impact of moving loads on building structures, and the resulting adverse factors (noise, oscillation, vibration, etc.) for comfortable living and human life is relevant. To protect buildings and structures from various types of moving loads and adverse factors, protection systems are provided. The system of building structure protection from various negative impacts can be conditionally divided into built-in and special. For example, fixed building structures can be designed in such a way that they are tuned mass dampers that protect high-rise buildings from the force of wind; engineering systems provide for the installation of noise suppressors on air ducts, noise-absorbing panels, the use of vibration isolation, vibration bases, floating floors, etc. when installing various equipment. Special measures may include the installation of special protective devices on pipelines, such as resonant wave process stabilizers, magnetorheological devices, etc. To select the most appropriate means of vibration protection for building structures with moving loads, it is proposed to use the methods of functional-structural analysis.
Publication Activity of the Journal “Bulletin of Kalashnikov ISTU”
Authors: Murav’ev V.V.
Published: May 2023

The analysis of the publication activity of the journal as of 2022 was carried out according to the general and thematic ratings in three sections in technical sciences: “Mechanical Engineering and Engineering”, “Radio Engineering and Communications”, “Power Systems and Complexes”. A significant increase in the bibliometric indicators of the journal was noted. The index of the journal in the SCIENCE INDEX rating increased more than 2 times - up to 0.194, the thematic indicators were significantly improved. In 2021, the number of articles by authors from other regions increased up to 70 %. The publication activity of the journal in 2021 increased significantly compared to 2020 in terms of most indicators: the two-year impact factor of the RSCI increased almost 6 times compared to 2017; the two-year impact factor for the RSCI core increased 10 times. The quality of articles has enhanced, the information content of abstracts and conclusions has improved, the requirements in terms of bibliography have increased: at least 20 references to journal articles published in the last 3-5 years. The number of reviews in 2020 and 2021 was 71 when reviewed by 36 and 38 reviewers, respectively.
Modern Solutions to Improve the Energy Efficiency of Radio Lines for the Technical Renewal of Radio Stations of Integrated Communication Systems
Authors: Baturin A.S. , Hvorenkov V.V. , Shishakov K.V.
Published: May 2023

Promising tasks for improving radio equipment with increased energy efficiency, related to in-depth preliminary study and efficiency research using the stand of the chief designer, are considered. Initially, a theoretical factor analysis of the interference radio terminal energy efficiency with respect to evenly distributed over the spectrum is given. The problem of choosing a variant of digital modulation and parameters of a noise-resistant code from the condition of obtaining the least energy for the transmission of one bit of information at a given error probability per bit and the level of spectral noise density is examined. With regard to broadband signals, energy-efficient linearly frequency-modulated signals are allocated. In the case of narrowband signals, cognitive technologies for improving energy efficiency for radio paths with partially filled spectrum, tuning radio lines to the 'windows of the best transparency' of the spectrum, are studied. Their importance for VHF radio lines and HF radio systems with tuning to the optimal frequency by regular ionosphere sounding is noted. The features of cognitive radio networks development to improve the energy efficiency of radio facilities are considered. The ways of algorithms design for modem and noise-resistant encoder energy effective tuning to a given radio line conditions for testing in the stand of the Chief Designer are discussed. Priority tasks for improving radio equipment with increased energy efficiency have been specified. Urgent specific subtasks for elaboration at the stand of the Chief Designer are highlighted.
The Matrix Model of Discrete Matching Elements for HF Computational Automatic Tuning Units
Authors: Izvolsky A.A.
Published: May 2023

The article is devoted to a new and relevant direction in the HF communication technology - the construction of high-speed computational antenna tuning units (ATU). The implementation of automatic ATU requires the designing of power circuits models adequate, as practice shows, the construction of models to physical reality in order to ensure their controllability. Practically powerful device elements are not in fact concentrated, the distributed nature of their parameters is noticeably manifested in the HF range. Matching ATU on the base of antenna input impedance measuring involves forming of accurate control commands for the elements, especially in conditions where the settings are narrow-band. A new approach to the description of a power circuit discrete elements transforming properties using the theory of linear passive four-pole and matrices, which has the ultimate accuracy, is proposed. A method to form a matrix description of on-off discrete elements of a power circuit based on the results of characteristic field measurements of the mounted device is presented. This approach made it possible to significantly reduce the amount of tabulated data describing the functional dependences of the complex coefficients of wave transmission matrices and to “smooth out” the experimental error. Complex cases are considered, which are of the greatest interest for practice - options for a four-pole cascade and parallel connection of reactive elements in the branches of the power circuit. The current state of computer technology makes it possible to sharply increase the complexity of the mathematical models used. The matrix model takes into account a significant variety of operating factors and does not require them to be “customized” to existing analytical methods. The adequacy, in this simulation, is determined by practical needs that arise in the design of power circuits of matching antenna devices and their tuning algorithms. In fact, the model is considered adequate if the errors in the calculation of the response function according to the model do not exceed the errors in its experimental determination. The proposed matrix approach made it possible to significantly improve the accuracy of modeling, while the error does not exceed 1 %. Also, this approach allows to find several options for setting a given quality and choose the best one for any parameter, while reducing the duration of the process up to 25 times. At the additional metrological advantages appeared in such devices serial production.
Economical Curing Method by Curing Pad for Beam
Authors: Patil Pranali , Tithe Rushikesh , Gaikwad Prasad , Pasalkar Avdhoot , Khirid Tejas
Published: May 2023

Abstract: Efficient uninterrupted curing is a key to quality concrete. Proper curing of concrete is crucial to obtain design strength and maximum durability considering the cost of curing. Curing is designed primarily to keep the concrete moist, by preventing the loss of moisture from the concrete during the period in which it gains strength. Due to rising problem of scarcity of water and expensive conventional methods of curing, it had become necessary to build-up a new method for concrete curing. This paper represents the experimental work related to a newly developed, effective and economical method of beam curing. This method consists of a technology namely ‘Curing Pad’ that not only absorbs and retains water for an extended period of time but also reduces evaporation losses. Concrete pad consists of 3 layers. The top layer is of a reflector material that reduces evaporation losses. The middle layer comprises of an absorbent material that stores and transmits water to the concrete beam. Bottom layer is binding or packing layer that holds all three layers together. Various tests are performed to check the durability of Curing Pad as well as its performance on concrete beam. These test results are compared to those of ponding method of beam curing.
Low Power Forest Fire Detection
Authors: Belure Prasad , Bhagat Chirag , Bhadane Om , Bendale Girija , Bhade Shourya , Bhagat Chetan , Saval Vaishali
Published: May 2023

Abstract: Fire detection and warning systems are critical for ensuring the safety of people and property. We present an innovative system for detecting and alerting fires that employs a combination of an MQ135 gas sensor, Arduino Uno microcontroller, and SIM900A GSM module. Its purpose is to identify the existence of smoke and other types of gases that are emitted during a fire and to provide real-time alerts to a pre-programmed set of phone numbers through SMS using the SIM900A GSM module. The system also triggers an alarm to alert people and the forest department in the vicinity of the fire. The MQ135 gas sensor is used to detect the presence of smoke and other gases in the air. The sensor's output is fed into the Arduino Uno microcontroller, which processes the data and triggers the alarm if the concentration of smoke or other gases exceeds a pre-set threshold value. The SIM900A GSM module is used to send real-time alerts to pre-programmed phone numbers through SMS, enabling swift action to be taken in case of a fire. We also use deep sleep mode to save power. We have divided the forest into various zones according to activity in that area.
Food Waste Management System
Authors: Devi Ms. K. Sharmila , S Sundareshwar.
Published: May 2023

Abstract: A drastic increase can be seen in food waste. As per data given by Food and Agriculture Organization , 1/3rd of food produced for human consumption is wasted globally . It accounts for almost 1.3 billion tons per year. As per WHO, 20% of the population face extreme food shortages. Hence there is a need to come up with a solution that can avoid food waste and can help feed the needy.
Skin Lesions Detection using Deep Learning Techniques
Authors: Sundari S Sivakama , AK Dr. Sampath , Islabudeen Dr. M.
Published: May 2023

Abstract: The main category of cancer is skin cancer, which is manifested by certain skin diseases. They have been constrained into various typologies stationed on morphological features, color, structure, and texture. Due to certain factors, the study equips analysis efforts to advance algorithms with greater closeness and tensility in detecting early-stage melanoma. As per the ACS report, melanoma is one of the recurrent cancers in the world. In 2017, around 87,110 new cases were diagnosed in the United States alone. Dermoscope images contain imperfections such as shadows, artifacts, and noise that degrade image essence. To overthrow these objection, deep learning neural networks have been used to detect skin cancer by tampering images. In the proposed work, automatic classification of skin lesions is proposed. Image classification, object detection etc are some of the computer vision tasks in deep CNN which have driven DCNNs to be reliable on several substitute assumptions, tiling its way for new exploration areas. CNN attained performance equivalent to all experts tested, achieving an exact competence equivalent to dermatologists treating skin cancer. In this article, we attempt to improve the Deep Convolutional Neural Networks example using the ImageNet dataset with HAM10000, fortuitously classifying seven categories of skin lesions. HAM10000 is a dataset of 10000 dermoscope images. Layers are fine-tuned applying separate approach such as InceptionV3, InceptionResNet, DenseNet and VGG-16. Over previous years, the power of deep learning-based approaches has enhanced fiercely and their work come out to outperform common image processing approach on classification tasks. However, these categories of machine learning-based accession have important drawbacks. Training requires thousands of annotated images for each class. The idea is to use deep learning algorithms and available dataset assets to bear models with higher accuracy and best results.
A Blockchain and Edge-Computing-Based Secure Framework for Government Tender Allocation
Authors: Babu B. Dilly , K GB. Karthikeyan , . Anitha
Published: May 2023

Abstract: Block chain innovation is an illustration of such innovation that has been drawing in the consideration of Legislatures across the globe as of late. Upgraded security, further developed detectability, and least expense foundation engage the block chain to infiltrate different spaces. By and large, legislatures discharge tenders to some outsider associations for various tasks. During this interaction, various contenders attempt to snoop the delicate upsides of others to win the delicate. Block chain procedure utilized under different security administration with various model. It is utilized as backend data set model that keeps up with. No. of clients can enlist and make the delicate citation under different division. Administrator will check and give the reaction from the citation result. Administrator or authority check the experience and interaction the board level ability for universally useful.
Real-Time Video Violence Detection Using CNN
Authors: Shaheer Rizana , U Malu
Published: May 2023

Abstract: In order to effectively enforce the law and keep cities secure, monitoring technologies that detect violent events are becoming increasingly important. In computer vision, the practice of action recognition has gained popularity. In the field of computer vision, action recognition has gained popularity. The action recognition group, however, has mainly concentrated on straightforward activities like clapping, walking, jogging, etc. Comparatively little study has been done on identifying specific occurrences that have immediate practical applications, like fighting or violent behaviors in general. The responsiveness, precision, and flexibility of violent event detectors are indicators of their effectiveness across a range of video sources. This capacity might be helpful in specific video surveillance situations. Several research focused on violence identification with an emphasis on speed, accuracy, or both while ignoring the generalizability of various video source types. In this paper, a deeplearning-based real-time violence detector has been proposed. CNN serves as an extractor of spatial features in the suggested model. Here, a convolutional neural network (CNN) architecture called MobileNet V2 is utilized to extract frame-level information from a video, and LSTM, which focuses on the three factors (overall generality, accuracy, and quick reaction) as a temporal relation learning approach.
Malware Detection Using Machine Learning
Authors: Bhat Kunal , Khairnar Tejas , Phatangare Sharayu , Narkhedkar Tanmay
Published: May 2023

Abstract: The sophistication of malicious software, known as malware, continues to advance. Previous approaches to detecting malware have predominantly focused on software-based detectors, which are susceptible to compromise. Consequently, recent efforts have suggested the adoption of hardware-assisted malware detection. In this research, we present a fresh framework for hardware-assisted malware detection that utilizes machine learning to monitor and classify patterns of memory access. This framework offers enhanced automation and coverage by reducing the reliance on specific malware signatures from the user. Our work is based on the fundamental understanding that malware must modify control flow and/or data structures, thereby leaving identifiable traces in program memory accesses. Expanding on this insight, we propose an online framework for malware detection that employs machine learning to classify malicious behaviour based on patterns of virtual memory access. Key elements of this framework include techniques for gathering and summarizing memory access patterns at the function and system call levels, as well as a two-level classification architecture
Byte Academy-Coder Hub
Authors: Pandey Aditya , Darbari Prof. (Dr.) Manuj , Singh Rudra Pratap , Gupta Rahul Kr.
Published: May 2023

Abstract: This research paper proposes a programming learning system called Byte Academy-Coder Hub to help solve educational quizzes. Byte Academy is a coder hub that provides training, mentoring, and community support to aspiring developers to help them launch their careers in the tech industry. This paper presents an online Q&A solution that uses NET and a database to provide users with an easy and efficient way to get answers to their questions. The system is designed to appeal to a wide range of users, from students to professionals, by providing an intuitive and user-friendly interface. In addition, the system will include a chatbot to enhance user interaction and user experience. The suggested solution will be flexible, scalable, and simple to manage, making it the perfect choice for companies and organisations across a range of industries. This study examines Byte Academy's attributes and advantages as well as how it affects the software development sector. The program's curriculum, instructional techniques, and results are all examined in this essay, along with the graduate-accessible resources and the program's community. The report also compares Byte Academy to other Coder Hubs available on the market and evaluates their shortcomings.
ANÁLISE DE CICLO DE VIDA DA VITICULTURA: ESTADO DA ARTE
Authors: Silva Paulo Henrique Franzão , Gasparotto Francielli , Emanuelli Isabele Picada , Schmidt Filho Edison , Yamaguchi Natália Ueda
Published: May 2023

A metodologia de análise do ciclo de vida (ACV) pode ser usada para quantificar os impactos ambientais dos sistemas e produtos, sendo aplicada em várias áreas, inclusive agroindustriais. O objetivo do estudo foi realizar um levantamento verificando a tendência dos trabalhos de pesquisas sobre ACV e os impactos da produção vitícola ao ambiente. Os bancos de dados usados foram os "Web of Science" e Scielo. Verificou-se que, em geral, os estudos relacionados com o tema ACV na viticultura vêm aumentando gradativamente a cada ano e os países do continente Europeu foram os maiores contribuintes dessas pesquisas. A área em que ocorreu maior número de publicações foi a de ciências ambientais e as publicações mais citadas abordaram uma tendência com a preocupação das emissões de gases de efeito estufa.Desta forma, verificou-se que o tema é atual e relevante mundialmente, mas as pesquisas ainda são insipientes no Brasil.
APLICAÇÃO DA HOMEOPATIA NA PRODUÇÃO ANIMAL
Authors: Braccini Graciela Lucca , Casetta Jaísa , Da Silva Stefania Caroline Claudino , Carniatto Caio Henrique de Oliveira , Dos Santos Victor Diogo Rodrigues , Costa Vinicius Fiorillo
Published: May 2023

O presente trabalho teve como objetivo explorar os aspectos relevantes sobre conceitos e aplicação da homeopatia na produção animal. O fundador da homeopatia foi o médico alemão Christian Frederich Samuel Hahnemann, em 1796, conseguiu que a homeopatia fosse reconhecida oficialmente.Dessa forma, o tratamento baseado no modelo homeopático está estruturado em quatro pilares: lei da semelhança; experimentação em ser vivo sadio; uso de doses dinamizadas; medicamentos individualizados. A existência de um apelo mundial pela preservação ambiental, aliado a uma consciência crescente da população sobre as consequências à saúde ocasionada por uma alimentação com grande quantidade de resíduos tóxicos, tem impulsionado a busca por produtos de origem animal produzidos em ambientes com a menor interferência de produtos químicos artificiais. Portanto, a homeopatia está presente na produção animal em busca de um tratamento de forma mais natural e saudável, menos agressiva e definitiva, visando o bem-estar dos animais e a sustentabilidade, atendendo as necessidades das produções futuras.
O TRABALHO NAS PLATAFORMAS DIGITAIS: NARRATIVAS CONTRAPOSTAS DE AUTONOMIA, SUBORDINAÇÃO, LIBERDADE E DEPENDÊNCIA
Authors: Cardoso Ana Claudia Moreira , Artur Karen , Oliveira Murilo Carvalho Sampaio
Published: May 2023

Este ensaio trata das narrativas presentes nos discursos das empresas-plataforma digitais de trabalho e dos trabalhadores que nelas atuam, bem como na doutrina e em decisões judiciais brasileiras. Seu objetivo é mapear as visões centrais sobre a questão da autonomia, numa análise teórica sócio-jurídica. Para tanto, foi realizada pesquisa bibliográfica e analisados documentos, doutrina jurídica, ações judiciais e observações dos discursos dos trabalhadores nas mídias. Inicialmente, apresenta-se a literatura sobre as principais configurações das plataformas de trabalho e, em seguida, investiga-se como os trabalhadores têm vivenciado as condições de trabalho nessas empresas. Aborda-se como as categorias de autonomia, subordinação e dependência se manifestam no âmbito jurídico do trabalho. Então, é examinado o sentido prático das decisões judiciais brasileiras, que identificam o trabalho subordinado ou autônomo. Por fim, são apresentadas perspectivas para a regulação trabalhista. Nas considerações finais, reflete-se que, apesar das plataformas apresentarem-se como meras intermediadoras, há uma pluralidade dos discursos entre os trabalhadores e fortes disputas entre os juristas a respeito da semântica sobre subordinação, liberdade e dependência. Além disso, observa-se que esses conflitos têm ocorrido dentro de uma realidade de condições de trabalho precárias, que merece ser regulada pelo direito do trabalho.Palavras chave: plataformas digitais de trabalho; trabalhadores de plataformas; autonomia no trabalho; subordinação; dependência
A METACOGNIÇÃO E ESTRATÉGIAS METACOGNITIVAS NO PROCESSO DE ENSINO E APRENDIZAGEM DA MATEMÁTICA
Authors: Santos Anderson Oramisio , Oliveira Guilherme Saramago de , Saad Núbia dos Santos
Published: May 2023

Este artigo investiga e analisa os conceitos e interfaces da Metacognição e das Estratégias Metacognitivas no ensino e na aprendizagem da Matemática nos anos iniciais do Ensino Fundamental que favorecendo ao estudante o desenvolvimento melhorando assim, a aprendizagem e priorize a reflexão sobre a construção do conhecimento. Metodologicamente esta pesquisa trata-se de uma revisão de literatura, apoiada em teóricos embrenhados na temática, caracteriza-se como exploratória e bibliográfica. Cabe ressaltar, que embora alguns autores tenham apontado para a importância da Metacognição na aprendizagem, porém com poucos estudos explorados na área da Educação Matemática. Acredita-se que pelos resultados da pesquisa possam contribuir para futuras discussões relativas ao processo de aprendizagem em Matemática.
O ENSINO DE QUÍMICA SOB A PERSPECTIVA INTERCULTURAL: A BORRACHA NA AMAZÔNIA
Authors: Monteiro Ercila Pinto , Couto Andréia Cardoso
Published: May 2023

O presente artigo apresenta uma pesquisa etnográfica que revela elementos históricos e culturais sobre “A borracha na Amazônia” para a contextualização no ensino de Química. Dessa maneira, a partir da leitura de mundo dos nativos, vincularam-se os saberes locais com os globais para a produção de uma sequência didática sob a perspectiva intercultural. A pesquisa aconteceu entre agosto a dezembro de 2019 e as visitas feitas no museu do Seringal em Manaus e a entrevista com um ex-seringueiro da região tornaram possível a construção de uma proposta didática vinculada à pedagogia culturalmente responsável em sala de aula, a qual corrobora para o desenvolvimento integral do estudante, além da valorização cultural, histórica e social.Palavras Chave: Multicultural. Ensino de Química. Amazônia.
Enhancing Rotary Unmanned Aerial Vehicle (RUAV) Stability in Challenging Wind Conditions: A Reinforcement Learning Approach
Authors: Hadi Muhammad Usman , Gibson Jack
Published: May 2023

Heavy winds hinder the execution of essential tasks for Rotary Unmanned
Aerial Vehicles (RUAVs) such as mountain rescue operations or civil
engineering assessments during typical Northern Irish winters. This
study uses Reinforcement Learning (RL) methods to select controller
gains, enhancing RUAV stability under challenging wind conditions,
employing a Deep Deterministic Policy Gradient (DDPG) agent over
conventional and optimal controllers. The proposed DDPG agent enables
the controller to be built as a “Black Box” approach, where the agent
can adapt to slight changes or model uncertainty in a real system
enabling a more robust controller. Simulations carried out on Full State
Feedback, Full State Compensator and Linear Quadratic Gaussian
controllers tuned by a variety of techniques revealed that RL
out-performed conventional manual tuning by 26% and Particle Swarm
Optimization by 19% in performance measured in settling time.
Design and Analysis of a Robotic Camouflage Vehicle for Unauthorized Person Detection
Authors: Kulkarni Neeraj P. , Khan Subim N.
Published: May 2023

Currently, robots play an important part in many sectors, including
military application. The Frame structure is an essential element of the
any robot vehicle since it supports the whole weight operating on the
robot vehicle as well as other sections of the robot. As the outcomes,
it has to be able to sustain shock, twist, vibration, as well as other
stresses. High stress & total deformation is key performance indicator
of Frame. This research is deals with optimization of the different kind
of material for military operation robot vehicle on the basis of stress
and maximum deformation. The ANSYS workbench is used to do static
structural analysis of the Robot frame. CATIA software is used to design
the robot frame. Firstly we prepare 3D model of Robot frame as per
Requirement then analysis for different types of material such as
Structural Steel, Aluminum Alloy & ABS Plastic and after optimization
we can perform the Modal Analysis of optimized material
What is wrong with wildlife fencing and what should we do? A review of fencing guidance for reptiles and amphibians.
Authors: Aburrow Katherine , Moffat Darrelle , Bega Steve , Clarke Kelly
Published: May 2023

Reptiles and amphibians have been recognised as being some of the
world’s most at-risk species from the impacts of human development. In
particular, roads have been identified as having a significant impact on
herpetofauna due to roadkill and fragmentation. Despite road mortality
affecting herpetofauna greater than other species, the topic of wildlife
vehicle collision (WVC) studies, which influence mitigation, is biased
towards larger species due to higher human costs from WVCs. In addition
to mitigation research, government funding for species protection and
recovery has also been found to be highly disproportionate among species
groups. This bias has resulted in a lack of research on effectiveness
and clear and consistent guidance on mitigation for smaller animals such
as reptiles and amphibians. Wildlife fencing is one method of mitigation
that has proven to help reduce WVCs and can help maintain connectivity
when combined with wildlife crossings. There have been more studies in
recent years that have focused on herpetofauna mitigation and these have
helped inform best practice guidance. In this article we review current
freely available best practice guidance for fencing designed to manage
conflict of herpetofauna around transport networks from across the
world. We have summarised findings that compare and highlight key
factors that include the following: Material type, Fence height, and
Fence features. Combining factors from existing guidance, recent
research and our practical observations on mitigation projects, we
provide a summary of recommendations along with diagrams and
descriptions that reflect the analysed guidance. We also identify and
highlight any areas that may need further research and investigation to
help build upon the status quo and enable us to better utilise fencing
as a conflict management tool for herpetofauna.
Neuroimmunology of rabies: new insights into an ancient disease
Authors: Cabral-Marques Otavio , Bastos Victor , Silva Vinicius Pacheco da , Rodrigues Érika D. L. , Moraes Cássia N. S. , Nóbile Adriel Leal , Fonseca Dennyson Leandro M. , Souza Kamilla Batista S. , Vale Fernando Y. N. do , Filgueiras Igor Salerno , Schimke Lena F. , Giil Lasse M. , Moll Guido , Cabral-Miranda Gustavo , Ochs Hans , Vasconcelos Pedro Fernando da Costa , Melo Guilherme Dias de , Bourhy Hervé , Casseb Livia Medeiros Neves
Published: May 2023

Rabies is an ancient neuroinvasive viral (genus Lyssavirus, family
Rhabdoviridae) disease affecting approximately 59,000 people worldwide.
The central nervous system (CNS) is targeted, and rabies has a case
fatality rate of almost 100% in humans and animals. Rabies is entirely
preventable through proper vaccination, and thus, the highest incidence
is typically observed in developing countries, mainly in Africa and
Asia. However, there are still cases in European countries and the US.
Recently, demographic, increasing income levels, and the coronavirus
disease 2019 (COVID-19) pandemic have caused a massive raising in the
animal population, enhancing the need for preventive measures (e.g.,
vaccination, surveillance, animal control programs), post-exposure
prophylaxis, and a better understanding of rabies pathophysiology to
identify therapeutic targets, since there is no effective treatment
after the onset of clinical manifestations. Here we review the
neuroimmune biology and mechanisms of rabies. Its pathogenesis involves
a complex and poorly understood modulation of immune and brain functions
associated with metabolic, synaptic, and neuronal impairments, resulting
in fatal outcomes without significant histopathological lesions in the
CNS. In this context, the neuroimmunological and neurochemical aspects
of excitatory/inhibitory signaling (e.g., GABA/glutamate crosstalk) are
likely related to the clinical manifestations of rabies infection.
Uncovering new links between immunopathological mechanisms and
neurochemical imbalance will be essential to identify novel potential
therapeutic targets to reduce rabies morbidity and mortality.
Systemic hyalinosis or fibromatosis hyalinica multiplex juvenilis as a congenital syndrome. A new entity based on the inborn error of the acid mucopolysaccharide metabolism in connective tissue cells?
Authors: Ishikawa H , Mori S.
Published: May 2023

Abstract i not available.
Skin colour changes in psoriasis responding to treatment with betamethasone-17-valerate under occlusion
Authors: Tring FC.
Published: May 2023

Abstract i not available.
The effect of urea and lactic acid on the percutaneous absorption of hydrocortisone
Authors: Wahlberg JE , Swanbeck G.
Published: May 2023

Abstract i not available.
Societey proceedings. Swedish Dermatology Society
Authors: Listed No authors
Published: May 2023

Abstract i not available.
Tolerance of hexavalent chromium induced by freund's incomplete adjuvant in guinea pigs
Authors: Shmunes E , Samitz MH.
Published: May 2023

Abstract i not available.
Ultrastructure of shagreen patch
Authors: Kobayasi T , Wolf-Jürgensen P , Danielsen L.
Published: May 2023

Abstract i not available.
On the histomorphology and origin of malignant cutaneous changes in epidermodysplasia verruciformis
Authors: Ruiter M.
Published: May 2023

Abstract i not available.
The significance of long wave UVL (320-400 nm; UVA) in light induced diseases
Authors: Stern WK.
Published: May 2023

Abstract i not available.
Lymphographic investigation of panniculitis of the legs
Authors: Förström L , Hannuksela M , Rauste J.
Published: May 2023

Abstract i not available.
Pivampicillin combined with probenecid in the treatment of acute uncomplicated gonorrhoea
Authors: Malmborg AS , Molin L , Nyström B.
Published: May 2023

Abstract i not available.
Classification and treatment of congenital central slip hypoplasia
Authors: Liu Yuzhou , Xu Xiuyue , Wang Le , Lao Jie , Zhuang Yongqing , Fang Yousheng
Published: May 2023

Objectives: The aim of this study is to make a diagnosis and a classification for congenital central slip hypoplasia. The surgical treatment was determined according to the classification.Methods: A retrospective study of 25 treated digits in 13 patients with congenital central slip hypoplasia was carried out. The central slip was classified into two types. Type I: The distance between the insertion of central slip and the proximal interphalangeal joint was shorter than or equal to 5 mm. Type II: The distance between the insertion of central slip and the proximal interphalangeal joint was longer than 5 mm. Tendon advancement or tendon graft was used for type I or II, respectively.Results: The preoperative mean extension lag was 91° (range, 80°–100°), and the mean follow-up duration was 18 months (range, 9–24 months). The postoperative mean extension lag was 19° (range, 0°–50°). No matter whether in type I or II, the postoperative ranges of proximal interphalangeal joint extension had significant improvement compared with the preoperative ones. There was no statistical difference of proximal interphalangeal joint extension lag changes before and after surgery between the two types.Conclusion: Congenital central slip hypoplasia could be classified into two types. Either tendon advancement or tendon graft might be effective, which depended on the classification.
Tires for Mars Rovers: Reinforcing BR and BR/Vinyl-Methyl Silicone Rubber Compounds with Carbon Black, Nano-CaCO3, or Silica for Good Low-Temperature Dynamic-Mechanical Performance
Authors: Anyszka Rafał , Jia Li , Blume Anke
Published: May 2023

Dynamic increment in Mars exploration missions necessitates the development of new materials that can satisfy the ever more stringent requirements. Currently, most of the materials used for manufacturing Mars rovers and landers are based on various metal alloys that provide high reliability in the Martian environment. However, the future planned missions, including the first human crew landing on Mars, require the development of new rubber materials that could be used for sealing Mars suits, for tires/tracks, and for damping systems for heavy Mars rovers. This research aims to investigate the properties of butadiene rubber (BR) and butadiene/vinyl-methyl silicone rubber blends (BR/VMQ) filled with various reinforcing fillers: carbon blacks (CBs), silicas, and nanometric calcium carbonate (nano-CaCO3), in order to evaluate their performance from the point of view of Mars' environmental applications. The study revealed that the designed composites exhibit very good low-temperature elasticity, and the addition of 30 phr of high surface area CB (N220) or silica (Ultrasil 9100) results in good mechanical properties of the compounds. The mechanical properties of the BR/VMQ blends depend on the type of reinforcing filler. The addition of the CBs resulted in better mechanical properties, while the incorporation of silicas worsens the mechanical properties of BR/VMQ blends in comparison to their BR counterparts. The high-cis BR grade exhibits a strong tendency to crystallize in the operating temperature range on Mars (crystallization ∼−60 °C, melting ∼−20 °C), and the addition of the fillers nucleates the crystallization, resulting in a higher amount of the crystalline phase. This might be a serious problem for any sealing application of the rubber compounds. For this reason, a non-crystallizable BR grade is recommended for further studies.
HUBUNGAN MOTIVASI BELAJAR DENGAN KETERAMPILAN MENULIS TEKS EKSPLANASI SISWA KELAS XI SMA PEMBANGUNAN LABORATORIUM UNP
Authors: R. Yulia  , A. Rahmi  , Samsiarni
Published: May 2023

Penelitian ini dilatarbelakangi oleh rendahnya motivasi belajar seseorang untuk menyerap informasi yang memberikan dorongan sebuah imajinasi sehingga muncul ide yang tercipta dan menemukan gagasan dalam menulis khususnya teks eksplanasi. Tujuan penelitian ini adalah pertama, mendeskripsikan motivasi belajar siswa kelas XI SMA Pembangunan Laboratorium UNP. Kedua, mendeskripsikan keterampilan menulis teks eksplanasi siswa kelas XI SMA Pembangunan Laboratorium UNP. Ketiga, mendeskripsikan hubungan motivasi belajar terhadap keterampilan menulis teks eksplanasi siswa kelas XI SMA Pembangunan Laboratorium UNP. Jenis penelitian ini adalah penelitian kuantitatif dengan korelasi. Sampel dalam penelitian ini yaitu siswa kelas XI yang berjumlah 25 orang. Metode pengumpulan data yang digunakan dalam penelitian ini adalah tes angket dan tes unjuk kerja. Metode analisis data yang digunakan dalam penelitian ini adalah uji normalitas dan uji homogenitas. Data penelitian ini adalah angket motivasi belajar dan skor menulis teks eksplanasi siswa kelas XI SMA Pembangunan Laboratorium UNP. Berdasarkan hasil penelitian disimpulkan sebagai berikut. Pertama, motivasi belajar siswa kelas XI SMA Pembangunan Laboratorium UNP diperoleh nilai rata-rata hitung 74,20 berada pada rentangan 66-75% pada skala 10, dengan kualifikasi lebih dari cukup (LdC). Kedua, keterampilan menulis teks eksplanasi   siswa kelas XI SMA Pembangunan Laboratorium UNP diperoleh nilai rata-rata 76,53 berada pada rentangan nilai 75-85% dengan skala 10, dengan kualifikasi baik (B). Ketiga, terdapat hubungan yang signifikan antara motivasi belajar terhadap kemampuan menulis teks eksplanasi siswa kelas XI SMA Pembangunan Laboratorium UNP. Hal ini terlihat dari hasil pengujian yang membuktikan bahwa thitung > dari ttabel yaitu 2,33  1,71.
PENINGKATAN KETERAMPILAN MENULIS PUISI RAKYAT DENGAN PENDEKATAN KONTEKSTUAL
Authors: Harinaliza
Published: May 2023

Dari permasalahan yang ditemui, banyak siswa yang belum memahami cara menulis terutama menulis puisi rakyat. Masalah  menulis puisi rakyat tersebut dikarenakan; (1) Nilai rata-rata siswa belum mencapai nilai minimun atau KKM yaitu 75 ; (2) Belum maksimalnya siswa dalam menerima materi yang diajarkan oleh guru. Dengan demikikian perlu diadakan suatu penelitian. Penelitian ini merupakan penelitian tindakan kelas yang melibatkan 31 orang siswa kelas VII semester 2 SMP Negeri 2 Pasaman yang memiliki  empat tahapan , yaitu : tahap perencanaan, pelaksanaan tindakan, observasi dan refleksi. Penelitian ini menggunakan pendekatan Kontekstual dengan langkah, 1) tahap invitasi 2) tahap eksplorasi 3) tahap penjelasan dan solusi 4) Tahap pengambilan tindakan . Penelitian ini dilaksanakan dalam dua siklus penelitian. Pada siklus pertama, siswa  kelas VII semester 2  SMP Negeri 2 Pasaman pada keterampilan menulis puisi rakyat nilai rata-rata 62,58. Hasil tersebut terdiri atas keterampilan siswa pada skala nilai sangat baik yang   dicapai  1 siswa , nilai  baik  dicapai  10  siswa,  nilai  cukup dicapai  13  siswa, lebih lanjut   nilai  kurang dicapai  6 siswa  dan  nilai  sangat kurang dicapai 1 siswa. Pada siklus ke II didapatkan  4 siswa  dengan kategori nilai sangat baik, 17 siswa dengan  kategori nilai baik , kemudian 10 siswa dengan kategori nilai cukup dan untuk kategori kurang dan sangat kurang tidak dicapai oleh siswa atau 0%.  Artinya terjadi peningkatan dari ketuntasan hasil belajar siswa dengan rata-rata kemampuan siswa pada keterampilan menulis puisi rakyat sudah pada kategori cukup yaitu 76,13. Pada siklus kedua, sudah diperoleh 100% ketuntasan hasil belajar siswa. Hasil penelitian ini menunjukkan bahwa dengan penggunaan pendekatan Kontekstual dapat meningkatkan keterampilan menulis Puisi Rakyat siswa  kelas VII semester 2  SMP Negeri  2 Pasaman.