bluuebunny/crossref_metadata_2025 huggingface dataset:
Cultura Organizacional y Liderazgo en el Ejército
Authors: Aguilar Sánchez Edison Gelber
Published: June 2022

Actualmente, las instituciones deben contar con una cultura organizacional flexible que sirva de guía y permita a todos sus integrantes adaptarse a un mundo globalizado y en constante cambio. La cultura organizacional y el liderazgo son elementos que -a través del tiempo- han evidenciado cierta evolución en sus conceptos, generando un mayor impacto en instituciones militares. El líder debe gestionar nuevas herramientas que le permita no solo mejorar las relaciones humanas, sino también desarrollar el talento de su personal para alcanzar los objetivos propuestos. Por consiguiente, el Ejército debe ejecutar programas de formación para impulsar en su personal habilidades que les permitan ejercer un buen liderazgo. En tal sentido, en un mundo en permanente transformación, la cultura organizacional y el liderazgo son elementos importantes para el desarrollo del Ejército y para el desempeño efectivo de los Oficiales. En este artículo se describe la relación y las nuevas dimensiones que deben fortalecer el desarrollo de ambos elementos en el Ejército.
A pesquisa em educação: considerações fundamentais para o pesquisador
Authors: Leandro Michel Luis da Cruz Ramos
Published: June 2022

Este artigo tem o objetivo de apresentar preceitos básicos para o pesquisador, em especial, para aqueles voltados à pesquisa em educação, para isso, foi realizada uma tentativa de correlacionar diferentes perspectivas do fazer científico por meio de diversos pesquisadores renomados na área da metodologia da pesquisa em educação. Sabe-se que a pesquisa científica do campo educacional se beneficia de múltiplas e diferentes perspectivas teórico-metodológicos para a produção de conhecimento, isso significa que as referências adotadas para a compreensão dos fenômenos educativos – os seus objetivos e intenções, seus processos, resultados e conclusões – carregam metodologias e referenciais teóricos que validam um fazer científico que deve se pautar em responsabilidade e ética, deste modo, ocupar a posição de sujeito-pesquisador é, antes de tudo, uma atitude política e isso implica algumas considerações essenciais que todo pesquisador precisa levar em consideração, a saber, 1. A ciência não é neutra; 2. A ciência nunca chega a uma verdade absoluta; 3. Nenhum pesquisador supri a totalidade de um determinado campo de saber; 4. O discurso científico é uma voz de autoridade social, portanto, há uma força política nas mãos do pesquisador e 5. Todo pesquisador precisa estar aberto a outros campos de pesquisa e saber.
Responsabilidade ambiental (civil, administrativa e penal) e sua complexidade normativa e jurisprudencial: dano moral ambiental
Authors: Rodrigues Gabriel Benedetti Marques , Silva Jaqueline da Costa , Lehfeld Lucas de Souza , Marcolino Marcela Helena
Published: June 2022

Este trabalho trata da responsabilidade ambiental nas esferas civil, administrativa e penal, bem como sua complexidade normativa e jurisprudencial junto ao dano moral ambiental. O objetivo é responder ao questionamento acerca do motivo da existência de uma responsabilidade ambiental, visto as especificidades que o dano ao meio ambiente apresenta. O método utilizado foi o hipotético-dedutivo, elaborado por procedimentos bibliográficos e documentais, respectivamente, por meio das doutrinas consagradas e artigos científicos, e da jurisprudência, da legislação brasileira, de notícias e textos que orientam sobre o assunto.

Abstract: This work deals with environmental responsibility in the civil, administrative and penal spheres. It also take into account its normative and jurisprudential complexity pari passu with the environmental moral damage. The objective is to answer the question concerning the reason for the existence of an environmental responsibility, given the specificities that the damage to the environment presents. The method is based on the hypothetical-deductive process, elaborated by bibliographic and documentary procedures, respectively, by means of the consecrated doctrines and scientific articles, and the jurisprudence, the Brazilian legislation, news and texts that guide on the subject.

Keywords: Environmental responsibility. Environmental moral damage. Environment.
Revisão e atualização do instrumento de coleta de dados utilizado no curso de Enfermagem
Authors: Godoy Fabiana , Santos Iago Henrique Silva dos , Giolo Vyctor Kayque Silva , Degani Gláucia Costa
Published: June 2022

Instrumentos de coleta dos dados permitem coletar dados relevantes e estruturados para identificação das necessidades do paciente. O objetivo da pesquisa foi revisar e atualizar o instrumento de coleta de dados utilizado pelos alunos durante as atividades práticas no curso de enfermagem. Tratou-se de um estudo metodológico, a partir da análise, revisão e atualização dos domínios e itens de um instrumento por meio dos referenciais teóricos utilizados na disciplina de Metodologia da Assistência de Enfermagem. Realizaram-se as etapas de estabelecimento da estrutura conceitual e definição dos objetivos e da população envolvida, construção dos itens e da escala de resposta e seleção e organização dos itens e estruturação do instrumento. Constatou-se que a versão atualizada do instrumento buscou obter um instrumento capaz de reunir e disponibilizar embasamento científico atualizado para operacionalizar a coleta de dados por alunos de adultos e idosos em situações clínicas durante as atividades práticas em campo de estágio hospitalar. Os domínios do instrumento original foram mantidos, classificados por necessidades humanas básicas e foram reorganizados. Os domínios incluídos foram: resultado de exames, medicamentos prescritos, itens não avaliados e orientações para alta hospitalar. Em cada domínio, os itens foram incluídos, excluídos e realocados. A escala de respostas foi objetiva ou subjetiva e aberta ou fechada e organizadas da normalidade para a anormalidade. Destaca-se a dificuldade em encontrar referenciais teóricos acerca da identificação do paciente, das necessidades psicossociais e psicoespirituais; verifica-se a necessidade de adequações na apresentação, formatação, síntese e validação da versão final do instrumento.
Caracterização da população canina domiciliada na área urbana da cidade de Pradópolis/SP
Authors: Leoni Estefânia , Dorigan Cláudia Josefina , Terçariol César Augusto Sangaletti
Published: June 2022

O objetivo do trabalho foi traçar o perfil dos proprietários dos cães e da população canina domiciliada na cidade de Pradópolis/SP. Para tanto, foi elaborado um questionário, que continha 18 perguntas referentes ao proprietário e ao animal, que foi aplicado a 15% dos proprietários dos cães. A análise estatística dos dados constou de estatística descritiva, mediante determinação das frequências relativas (em %) observadas nas categorias das variáveis (EXCEL, versão 7.0). De acordo com os resultados obtidos, foi possível concluir que: a relação cão/habitante está próxima aos valores estipulados pela OMS como os ideais; a maioria dos cães vive em famílias constituídas legalmente; a raça principal encontrada foi a SRD; falta orientação e aplicação de controle de doenças, de manejo alimentar e manejo reprodutivo, de maneira mais eficazes.
Reabilitação fisioterapêutica no pós-operatório de mulheres mastectomizadas com câncer de mama
Authors: Silva Perfeito Rodrigo , Pereira da Silva Amaral Roseli , Marques Vieira Souza Lúcio
Published: June 2022

O câncer de mama é uma das doenças que mais causa temor entres as mulheres, não apenas pelos seus efeitos fisiológicos, como também pelos psicológicos e sociais. Uma das intervenções de tratamento é a mastectomia total ou parcial. Porém, somado aos transtornos bioquímicos que o tratamento por quimio ou radioterapia trazem, a cirurgia também traz repercussões que podem afetar a qualidade de vida e funcionalidade destes pacientes. Buscando conversar sobre essa trama, o objetivo deste estudo é o de indentificar e expor, através de revisão, os achados da literatura sobre a reabilitação fisioterapêutica no pós-operatório de mulheres mastectomizadas com câncer de mama. Nas considerações finais, foi possível verificar que existem diversas técnicas que podem melhorar a qualidade de vida e bem-estar destes indivíduos pela minimização dos sintomas existentes, cabendo ao fisioterapeuta realizar uma avaliação criteriosa para optar pelos procedimentos mais específicos e eficientes.
Estratégias de ventilação mecânica e ajustes dos parâmetros ventilatórios utilizados em pacientes com COVID-19 hospitalizados: revisão de literatura
Authors: Davoli Lays Barros Braga , Muniz Furtado Phelipe , Eduardo Gomes Ferreira Paulo
Published: June 2022

Atualmente, o mundo vem vivendo uma pandemia causada pelo novo Coronavírus, causador da COVID-19, seu quadro clínico é variável, sendo os pulmões, um dos órgãos mais afetados. Quando agravada, a doença, pode ser necessário a hospitalização e a intubação; a utilização da ventilação mecânica (VM) tem seus riscos e seus benefícios, devido a isso é necessário saber configurar corretamente seus parâmetros. Objetivo: Revisar os parâmetros ventilatórios mais utilizados e eficazes nos pacientes hospitalizados por COVID-19. Métodos: Foram realizadas buscas nas bases de dados PUBMED e Scielo com os DeCS “mechanical ventilator” AND “COVID-19”. Resultados: Foram encontrados 186 artigos, desses foram incluídos 3 pois se encaixam nos critérios de inclusão, sendo encontrados valores como o de Khan, Akhtar, 2020 de volume corrente de 4 a 6 ml/kg e uma PEEP de 15 cmH20, valores como o de Sheikh, Baig, 2020 com volume corrente de 4 a 8 ml/kg e uma PEEP de 20 cmH2O e valores como o de Robba et al., 2020 de volume corrente de 4 a 8 ml/kg e uma PEEP maior que 10 cmH2O. Considerações finais: Dentro do tratamento para a COVID-19 a ventilação mecânica é muito importante, porém é necessário entender como ajustar seus parâmetros diante de cada caso. Foi encontrado um padrão, porém é necessário que mais estudos ocorram sobre este tema.
O TEMPO DO CONSUMIDOR COMO BEM JURÍDICO AUTÔNOMO, O DANO POR DESVIO PRODUTIVO E A CONSEQUENTE REPARAÇÃO
Authors: Cabral Hildeliza Lacerda Tinoco Boechat , Santiago Lucas Moreira Fonseca
Published: June 2022

Este artigo analisa o tempo como bem jurídico tutelável e o desperdício desse tempo como dano ao consumidor, conforme preconiza a teoria do desvio produtivo que, basilarmente, tem fundamento no princípio da dignidade da pessoa humana, também na doutrina civilista com vistas à responsabilidade civil, e finalisticamente, tem nuance-chave firmada na doutrina consumerista ao contemplar a proteção integral da parte vulnerável. Apresenta expressiva validação na jurisprudência nacional contemporânea, desconstruindo a antiga figura do “mero aborrecimento” que gerava a indústria da reiteração de atos abusivos do consumidor quando tratava o dano moral experimentado pelo consumidor como mero dissabor do cotidiano nas situações em que despendia seu tempo para resolver impasses criados injustamente pelo fornecedor. O reconhecimento do tempo como bem jurídico autônomo e precursor determinante na aplicação da reparação pelo desvio produtivo do consumidor representa verdadeiro progresso da proteção consumerista e consagra o direito personalíssimo à liberdade de escolha como vertente da dignidade da pessoa humana, responsabilizando o fornecedor que não age dentro dos parâmetros da boa-fé objetiva, prevenindo novos casos dessas práticas abusivas para compensar o dano moral sofrido pelo consumidor, restabelecendo a harmonia nas relações de consumo.
Die AfD-Wahlabsicht aus ungleichheitssoziologischer Perspektive
Authors: Lux Thomas
Published: June 2022

Der Artikel geht, auf der Basis der Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS) aus dem Jahr 2016, den Fragen nach, welche sozialen Schichten besonders stark zur Wahl der „Alternative für Deutschland“ (AfD) neigen und durch welche subjektiven Einstellungen diese Schichtunterschiede erklärt werden können. Hierfür wird ein Schichtmodell verwendet, das sich an gegenwartsdiagnostischen Überlegungen von Andreas Reckwitz orientiert. Dieses Schichtmodell sieht nicht nur eine vertikale ökonomische Gliederung der Bevölkerung vor, sondern unterteilt die große Mittelschicht zusätzlich anhand der verfügbaren kulturellen Ressourcen in eine neue Mittelschicht und eine alte Mittelschicht. Obgleich eine solche Mittelschichtsdifferenzierung für die Verortung der AfD-Wählerschaft von besonderer Bedeutung ist, wurde sie in der bisherigen Forschung kaum systematisch berücksichtigt. Die Ergebnisse zeigen, dass die Unterschicht die stärkste Neigung zur AfD aufweist und auch die alte Mittelschicht stark zu dieser Partei tendiert. Demgegenüber ist die AfD-Präferenz der neuen Mittelschicht und der Oberschicht nur schwach ausgeprägt. Darüber hinaus zeigt sich, dass Einstellungen zu kulturellen und materiellen Aspekten in unterschiedlichem Maß relevant für die Erklärung dieser Schichtunterschiede sind, je nachdem welche Schicht betrachtet wird: Während für die erhöhte AfD-Präferenz der alten Mittelschicht vor allem kulturelle Einstellungen zu Migration und Islam von Bedeutung sind und materielle Einstellungen kaum eine Rolle spielen, sind für die besonders starke AfD-Präferenz der Unterschicht sowohl kulturelle als auch materielle Einstellungen relevant.
Zehn Jahre „Frühwarnsystem“ in der Europäischen Union: Ein wirksames Instrument der Subsidiaritätskontrolle?
Authors: Wimmel Andreas
Published: June 2022

After having played a minor role in European politics for a long time, national parliaments were empowered to “guardians of subsidiarity” under the Lisbon Treaty. This article scrutinizes whether they have succeeded in influencing European Union legislation with reasoned opinions over the past ten years. A statistical analysis of all opinions up to 2020 shows that the Commission recalls draft legislative acts significantly more often after receiving at least one reprimand. A comparison of the parliamentary chambers suggests that these withdrawal decisions were not driven by strategic considerations such as a member state's voting weight in the Council. Both indicate that the “Early Warning System” works better in practice than previously assumed. This result should encourage members of national parliaments to make more active use of this instrument of subsidiarity control.
Wahlgleichheit und degressive Proportionalität versöhnen: ein europäischer Verhältnisausgleich durch transnationale Listen
Authors: Müller Manuel
Published: June 2022

The principle of “degressive proportionality” in European elections ensures that even the smallest member states are adequately represented in the European Parliament. However, it is detrimental to transnational electoral equality: votes cast in small countries have greater weight and thus distort the relative strength of political parties. Is it possible to reform European electoral law in a way that preserves the degressive-proportional representation of member states, but at the same time makes sure that the seat share of each parliamentary group corresponds to its EU-wide vote share? The “tandem model” proposed by Jo Leinen and Friedrich Pukelsheim ostensibly fulfils this goal, but at the price of strong distortions within the national constituencies. A more promising model to reconcile electoral equality and degressive proportionality would be proportional compensation through transnational lists.
The European Regulatory Approach on Supply Chain Responsibility
Authors: Hoffmeister Frank
Published: June 2022

The article presents four categories of EU approaches on regulating supply chain responsibility. Sometimes, like in the case of the Kimberley process for conflict diamonds or with respect to illegally fished fishery products, the EU enacts restrictions or prohibitions that are specifically targeted at the import of foreign products. These import regimes are distinguished from marketing prohibitions for unethically produced goods. The prime examples are the European bans on cat and dog fur and seals products, as well as a possible future ban on goods made from forced labour. While these categories impose negative duties for EU importers and producers, the author also looks at EU regulations imposing positive obligations of EU companies. They may either be required to report about supply chain responsibility or need to entertain due diligence with respect to their import activities. For the latter category, the author discusses the EU regulations on tropical timber, conflict minerals, deforestation and general due diligence. Hoffmeister shows how these regimes fit into the normative framework of the European Union’s foreign policy objectives and argues that they are WTO compatible. He also provides a short comparative assessment about their effectiveness.
Enhancing Supply Chain Responsibilities through International Investment Agreements
Authors: Böhme Bianca
Published: June 2022

Foreign direct investment is one of the modes of organisation of global supply chains. At the international level, foreign direct investment is mostly regulated through international investment agreements (IIAs). While most of these agreements are still silent on corporate responsibilities, there are some notable exceptions that mark the way forward toward a more balanced investment protection regime. This contribution argues that even though the main purpose of IIAs remains the promotion and protection of foreign investment, IIAs could equally be used to enhance corporate responsibilities. To that purpose, the contribution outlines possible legal sources and means of enforcement to establish corporate responsibilities through IIAs.
The Human Rights Responsibilities of Corporations in Global Supply Chains
Authors: Askin Elif
Published: June 2022

In a globalised economy, transnational corporations from all sectors are directly or indirectly linked to global supply chains, in particular through transnational business activities and foreign investments. That this represents a potential threat to individuals and the environment has been revealed by persistent human rights abuses and damage to the environment. In practice, human rights abuses by transnational corporations often take place in countries of the Global South and affect the most vulnerable people, such as women workers, child labourers and residents of poor and rural areas. Nevertheless, the existing international human rights system does not impose direct human rights obligations on private actors, including transnational corporations. The responsibilities of transnational corporations for human rights in global supply chains are mainly based on a patchwork of soft regulations. In recent years, however, new initiatives have emerged at the national and international level, such as the the development of an internationally legally binding treaty to regulate business activities with respect to human rights or domestic legislation for corporate due diligence obligations. Most of these initiatives emphasise the role of the State in incorporating a “mediated” approach to the human rights responsibility of transnational corporations. This article explores recent developments connected to the human rights responsibilities of corporations and discusses their feasibility under international human rights law.
Gender Perspectives Across the Global Supply Chain
Authors: Fröhlich Mareike
Published: June 2022

The contribution analyses the different gender perspectives which occur across the global supply chain. It will explain the relationship of gender equality and its implications observing the different stages of the production cycle in global supply chains. Certain conditions and the employment of women in low-wage production at the lower tier of supply chains make them more vulnerable for different human rights violations, such as gender-based and sexual violence and harassment, discriminations based on sex, exploitation, unequal pay for work of equal value, among others. It will be examined how these are addressed with soft and hard law approaches on the international, European and national level, concluding with the benefits and pitfalls of national legally binding global supply chain acts.
Gold Standards in the Supply Chain – A Golden Example
Authors: Pieth Mark
Published: June 2022

Sourcing gold is an example of one of the most problematic mineral supply chains. This is undoubtedly the case in artisanal mining (with serious environmental degradation through deforestation, the use of mercury, child labour and frequent violence). However, industrial mining is rarely better (local communities suffer from displacement and toxic emissions). The international community is struggling to regulate, however most of the rules remain soft law and self-regulation is unreliable. Furthermore, a large part of the supply chain evades the regulation altogether, since consumers in the Middle East, India and China rarely insist on clean sourcing.
Improved Deep Learning Model for Static PE Files Malware Detection and Classification
Authors:   Dept. of CSE, Rajarambapu Institute of Technology, Rajaramnagar, Sangli, Maharashtra, India, S. Lad. Sumit , Adamuthe Amol C.
Published: June 2022

Static analysis and detection of malware is a crucial phase for handling security threats. Most researchers stated that the problem with the static analysis is an imbalance in the dataset, causing invalid result metrics. It requires more time for extracting features from the raw binaries, and methods like neural networks require more time for the training. Considering these problems, we proposed a model capable of building a feature set from the dataset and classifying static PE files efficiently. The research work was conducted to emphasize the importance of feature extraction rather than focusing on model building. The well-extracted features help to provide better results when fed to neural networks with minimal numbers of layers. Using minimum layers will enhance the performance of the model and take fewer resources and time for the processing and evaluation. In this research work, EMBER datasets published by Endgame Inc. containing PE file information are used. Feature extraction, data standardization, and data cleaning techniques are performed to handle the imbalance and impurities from the dataset. Later the extracted features were scaled into a standard form to avoid the problems related to range variations. A total of 2381 features are extracted and pre-processed from both the 2017 and 2018 datasets, respectively. The pre-processed data is then given to a deep learning model for training. The deep learning model created using dense and dropout layers to minimize the resource strain on the model and deliver more accurate results in less amount of time. The results obtained during experimentation for EMBER v2017 and v2018 datasets are 97.53% and 94.09%, respectively. The model is trained for ten epochs with a learning rate of 0.01, and it took 4 minutes/epoch, which is one minute lesser than the Decision Tree model. In terms of precision metrics, our model achieved 98.85%, which is 1.85% more as compared to the existing models.
Optimization of Maintenance Task Interval of Aircraft Systems
Authors:   National Aviation University/Department of Continuing Airworthiness/Kyiv, Ukraine, 03058, Chioma Okoro Onyedikachi , Zaliskyi Maksym , Dmytriiev Serhii , Solomentsev Oleksandr , Sribna Oksana
Published: June 2022

Maintenance accounts for approximately 20% of the operational cost of aircraft; a margin higher than cost associated with fuel, crew, navigation, and landing fees. A significant percentage of maintenance cost is attributed to failures of aircraft components and systems. These failures are random and provide a database which can further be analyzed to aid decision-making for maintenance optimization. In this paper, stochastic mathematical models which can potentially be used to optimize maintenance task intervals of aircraft systems are developed. The initial data for this research are diagnostic variables and reliability parameters which formed the basis for selecting the probability density function for time between failures according to the exponential and Erlang models. Based on the probability density functions, the efficiency of the maintenance processes was calculated using average operational cost per unit time. The results of the analysis were further tested using the Monte Carlo simulation method and the findings are highlighted in this paper. The simulation results compared favorably with analytical results obtained using already existing Monte Carlo techniques to about 82% accuracy. The proposed mathematical optimization models determine the optimal aircraft maintenance task interval which is cost effective while considering safety and reliability requirements; our results can also be applied during the development, design, and operation phases of aircraft systems.
Securing Voice Communications Using Audio Steganography
Authors:   London Metropolitan University/Cyber Research Centre, London, N7 8DB, UK, Phipps Anthony , Ouazzane Karim , Vassilev Vassil
Published: June 2022

Although authentication of users of digital voice-based systems has been addressed by much research and many commercially available products, there are very few that perform well in terms of both usability and security in the audio domain. In addition, the use of voice biometrics has been shown to have limitations and relatively poor performance when compared to other authentication methods. We propose using audio steganography as a method of placing authentication key material into sound, such that an authentication factor can be achieved within an audio channel to supplement other methods, thus providing a multi factor authentication opportunity that retains the usability associated with voice channels. In this research we outline the challenges and threats to audio and voice-based systems in the form of an original threat model focusing on audio and voice-based systems, we outline a novel architectural model that utilises audio steganography to mitigate the threats in various authentication scenarios and finally, we conduct experimentation into hiding authentication materials into an audible sound. The experimentation focused on creating and testing a new steganographic technique which is robust to noise, resilient to steganalysis and has sufficient capacity to hold cryptographic material such as a 2048 bit RSA key in a short audio music clip of just a few seconds achieving a signal to noise ratio of over 70 dB in some scenarios. The method developed was seen to be very robust using digital transmission which has applications beyond this research. With acoustic transmission, despite the progress demonstrated in this research some challenges remain to ensure the approach achieves its full potential in noisy real-world applications and therefore the future research direction required is outlined and discussed.
DDoS Attacks Detection in the Application Layer Using Three Level Machine Learning Classification Architecture
Authors:   School of Computer Science and Technology, Xidian University, Kanber Bassam M. , Noaman Naglaa F. , Saeed Amr M. H. , Malas Mansoor
Published: June 2022

Distributed Denial of Service (DDoS) is an ever-changing type of attack in cybersecurity, especially with the growing demand for cloud and web services raising a never-ending challenge in the lucrative business. DDoS attacks disrupt users' access to the targeted online services leading to significant business loss. This article presents a three-level architecture for detecting DDoS attacks at the application layer. The first level is responsible for selecting the best features of the samples and classifying the traffic into either benign or malicious, then the second level consists of a hard voting classifier to identify the type of the DDoS source: UDP, TCP, or Mixed-based. Finally, the last level aligns the attack to the appropriate DDoS type. This approach is validated using the CIC-DDoS2019 dataset, and the time, accuracy score, and precision are used as the model performance metrics. Compared to the existing machine learning (ML) approaches, the proposed architecture reveals substantial improvements in both binary and multiclass classification of application-layer DDoS attacks.
Multimedia Traffic Transmission using MAODV and M-MAODV Routing Protocols over Mobile Ad-hoc Networks
Authors:   Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad-501301, Telangana, India, Poluboyina Lavanya. , Prasad. A. Mallikarjuna , Reddy. V Sivakumar , Maruthi Rao S V
Published: June 2022

Many applications of mobile ad-hoc networks like conferencing, handling emergency situations, military operations require the multicast routing. Moreover, in such applications there is a demand for multimedia traffic such as audio/video calls or audio/video conferencing. For mobile ad-hoc environments, it is accepted that the on-demand reactive routing protocol AODV has become default. Moreover, to get the benefits of using a single protocol for both unicast and multicast routing, in this work, the multicast routing protocol MAODV (multicast extension of AODV) has been considered and its performance is observed for CBR, VoIP and video data traffics. Since to accommodate multimedia traffic, a routing protocol demands for stringent QoS requirements in terms of delay, jitter and packet losses; the performance of the protocol is measured in terms of QoS performance metrics such as average delay, average jitter and packet delivery ratio. Further, a modified version of MAODV (called M-MAODV) is taken and its performance is also evaluated for multimedia traffic. A fair comparison of MAODV and M-MAODV protocols is achieved through the use of same network conditions for the evaluation. From the results, the improved values of delay, jitter and packet delivery ratio have been observed for M-MAODV irrespective of node speeds and for all data traffic types.
Clustering Method of Mobile Cloud Computing According to Technical Characteristics of Cloudlets
Authors:   Institute of Information Technology, Baku, AZ1141, Baku, Azerbaijan, Alakberov Rashid G.
Published: June 2022

The rapid increase in the number of mobile phones and IoT devices connected to the network reduces the bandwidth of the Internet communication channel, and as a result, delays occur in the delivery of data processed in remote clouds. Edge computing systems (cloudlet, fog computing, etc.) are used to eliminate resource shortages, energy consumption, and communication channel delays in mobile devices. Edge computing systems place processing devices (computers) close to users. Cloudlet-based mobile cloud computing is widely used to reduce delays in communication channels and energy consumption in mobile devices. Selection of the most suitable cloudlet allowing users to run applications fast in cloud is still a considerable problem. This paper proposes a strategy for the selection of high-performance cloudlets providing fast solutions, considering the complexity of application (file type). It offers a method for cloudlet selection out of large number of cloudlets with different technical capabilities providing faster processing of user application. The timing of user applications in cloudlets with different technical capabilities (operating frequency, number of cores, volume of RAM, etc.) also varies. The proposed method provides faster solution for the user application. User applications are grouped by type of application, and a set of cloudlets are clustered by the number of groups. Clustering is performed first by the parameters corresponding to the operating frequency of the cloudlets, then by the number of cores and the volume of RAM. The proposed method reduces energy consumption of mobile devices by providing faster processing of applications. Thus, the proposed strategy provides an energy consumption reduction on mobile devices, faster processing of results and decrease of network delays.
Text Classification based on Discriminative Semantic Features and Variance of Fuzzy Similarity
Authors:   Kish International Campus, University ofTehran, Kish, Iran, Parsafard Pouyan , Veisi Hadi , Aflaki Niloofar , Mirzaei Siamak
Published: June 2022

Due to the rapid growth of the Internet, large amounts of unlabelled textual data are producing daily. Clearly, finding the subject of a text document is a primary source of information in the text processing applications. In this paper, a text classification method is presented and evaluated for Persian and English. The proposed technique utilizes variance of fuzzy similarity besides discriminative and semantic feature selection methods. Discriminative features are those that distinguish categories with higher power and the concept of semantic feature takes into the calculations the similarity between features and documents by using only available documents. In the proposed method, incorporating fuzzy weighting as a measure of similarity is presented. The fuzzy weights are derived from the concept of fuzzy similarity which is defined as the variance of membership values of a document to all categories in the way that with some membership value at the same time, the sum of these membership values should be equal to 1. The proposed document classification method is evaluated on three datasets (one Persian and two English datasets) and two classification methods, support vector machine (SVM) and artificial neural network (ANN), are used. Comparing the results with other text classification methods, demonstrate the consistent superiority of the proposed technique in all cases. The weighted average F-measure of our method are %82 and %97.8 in the classification of Persian and English documents, respectively.
Multi Criteria Decision Making based Approach to Assist Marketers for Targeting BoPs Regarding Packaging Influenced Purchase during Covid-19
Authors: Panda Debadrita , Mukhopadhyay Sabyasachi , Bachhar Amit Kumar , Roy Moumita
Published: June 2022

This study has a novel approach to capture the attitude of Bottom of the Pyramid (BoP) consumers towards Packaging Influenced Purchase (PIP) during the Covid-19 crisis. Over the years, BoPs consumers have established themselves as an emerging market with ample growth and opportunities. The authors suggested a Multiple-Criteria Decision-Making (MCDM) based framework to assist marketers in targeting both urban and rural BoP consumers regarding PIP. Packaging elements and influence of family, extended family, peers have been included in the framework for gaining in-depth understanding. With a sample size of 100 from West Bengal, this focus group-based study can fulfil the BoP literature’s existing prominent research gap. Results indicate the difference in attitude for urban and rural BoPs towards PIP during this crisis. The fusion of MCDM based approach and relevant machine learning-based technique aims to assist marketers in identifying, formulating, and redefining an action plan.
Power System Stability Improvement by LQR Approach and PSS Considering Electric Vehicle as Disturbance
Authors:   Electrical and Electronics Engineering, SJB Institute of Technology, No.67, BGS Health & Education City, Bengaluru, Karnataka 560060, Agrawal Niharika , Gowda Mamatha
Published: June 2022

Low frequency oscillations result due to heavy loading conditions line faults, sudden change of generator output and also due to poor damping of interconnected power systems. There are different types of disturbances in the power system like sudden change of load, generation, faults, switching of lines. This hampers the power transmission capacity of the lines and the stability of the system There are significant impacts on the system stability during the charging and discharging operation of Electric Vehicle (EV). In the present work the charging operation of EV is considered as a load disturbance. The introduction of these vehicles in the system creates the problem of low frequency oscillation and endanger the system stability and security. In the present work the Single machine infinite bus system (SMIB) is first developed using mathematical modelling with consideration of EV disturbance. The LQR approach from optimal control theory is then applied in the system to damp the system oscillations, improving the system eigenvalues and enhancing the stability. The stability is seen in the system after LQR from various figures. In the second work the plotting of variation of different state variables is done using three different methods which are the transfer function model method, using code and then using state space representation of the system. The work is further extended by adding Power system stabilizer (PSS) to the system, again considering the EV disturbance. The time domain simulation results showed the improvement in stability using PSS device. Thus, in the present work the oscillations problems created due to the introduction of electric vehicles are solved by two methods. The first is implementing LQR approach from optimal control theory in the system and the second method is by adding PSS device in the same system.
A Novel Hierarchical Document Clustering Framework on Large TREC Biomedical Documents
Authors:   Associate Professor, Department of CSE, Malla Reddy Institute of Technology, Secunderabad, Telangana, India, Kumari Pilli. Lalitha , Jeeva M. , Satyanarayana Ch.
Published: June 2022

The growth of microblogging sites such as Biomedical, biomedical, defect, or bug databases makes it difficult for web users to share and express their context identification of sequential key phrases and their categories on text clustering applications. In the traditional document classification and clustering models, the features associated with TREC texts are more complex to analyze. Finding relevant feature-based key phrase patterns in the large collection of unstructured documents is becoming increasingly difficult, as the repository's size increases. The purpose of this study is to develop and implement a new hierarchical document clustering framework on a large TREC data repository. A document feature selection and clustered model are used to identify and extract MeSH related documents from TREC biomedical clinical benchmark datasets. Efficiencies of the proposed model are indicated in terms of computational memory, accuracy, and error rate, as demonstrated by experimental results.
Cinema latino-americano, festivais europeus e redes de solidariedade
Authors: Aguiar Carolina Amaral de
Published: June 2022

Este artigo tem como objetivo analisar o papel que os festivais de cinema europeus tiveram na articulação de uma rede de solidariedade às vítimas da ditadura chilena nos primeiros anos após o golpe de Estado de 1973. Por meio de uma perspectiva transnacional e em diálogo com os festival studies, o texto se dedica à complexidade dos vínculos entre o cinema político da América Latina e os encontros cinematográficos ocorridos na Europa desde a década anterior, com foco no chamado “longo” 1968, época marcada pela renovação estética, discursiva e institucional que modificou a natureza dos festivais europeus. Dessa forma, a presença de filmes, agentes do meio cinematográfico, figuras públicas de outra natureza, críticos, público, declarações de protesto, cobertura da imprensa, entre outros aspectos que compõem um festival são analisados como parte de um fenômeno mais amplo de aproximação entre América Latina e Europa em torno da noção de solidariedade e engajamento nas pautas “terceiro-mundistas”. O artigo analisa a presença da causa chilena em três festivais específicos, tomados como estudos de caso: a Mostra Internacional do Novo Cinema de Pesaro, o Festival de Cannes e o Festival Internacional de Documentário de Leipzig. Esses encontros apresentam distintos graus de centralidade no circuito dos festivais e se localizam em países/blocos de zonas de influência diferentes, o que permite entender os complexos fluxos que se estabeleceram nas redes solidárias.
Palavras-chave: festival; Chile; ditadura; solidariedade.
Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures
Authors: García-Suárez Federico , Pérez-Quesada Gabriela , Molina Riccetto Carlos
Published: June 2022

Rangeland cattle production is the largest agricultural sector of Uruguay. Ranches produce up to three products (beef, sheep-meat, and wool) usually combined into an equivalent meat (EM) index. The objective is to compare the empirical results from the estimation of a single output stochastic production frontier (SPF) and a multi-output stochastic ray frontier (SRF) to provide insights on the useof the EM index to evaluate ranches performance. Results show similar efficiency scores. The average level of TE is 0.769 for the SPF and 0.779 for the SRF. We cannot discard EM index as a simple measure of combined production.
Was Molière a Feminist? The Case of Célimène, an Independent Woman
Authors: Koloini Diana
Published: June 2022

Molière has often been treated as an anti-feminist, but this qualification disregards the complexity of his woman figures. In The Misanthrope, Célimène represents an exceptional woman figure that is a novelty in the classical literature. A master of brilliant conversation, she is a witty and charming salon lady. Her freedom causes concerns particularly for Alceste, the protagonist who dominates the play with his critical worldview. His assessment of Célimène’s conformism, coupled with her fickleness and falsity, was echoed by the majority of traditional commentaries that deemed her to be a slanderous coquette, hence a relatively banal figure. Countering such simplifications, the paper tries to establish Célimène as a complex, rich and subtle figure and explores the question to what extent she displays an independent spirit which equals Alceste’s. It examines the possibilities of woman’s freedom within the patriarchal framework of the time, and beyond.
Silicon Valley, Twitter y Musk: del nuevo capitalismo de plataformas a plataforma para el viejo capitalismo
Authors:   Universitat Oberta de Catalunya, Gozalo Salellas Ignasi
Published: June 2022

Con la noticia no consumada de la adquisición de Twitter, el nuevo protagonismo de Elon Musk en el mundo de las empresas tecnológicas de Silicon Valley nos desvela que ya estamos de pleno en una segunda fase del capitalismo del big data: se abandona el feudalismo tecnológico de carácter utopista para entrar en una plutocracia extractivista en la que el sector tecnológico es solo un mercado más en el sueño imperial de poseer un nuevo mundo que hay detrás de los pasos de Elon Musk o Jeff Bezos.
Theoretical investigation on structure and optoelectronic performance of two-dimensional fluorbenzidine perovskites
Authors: Sui Guo-Min , Yan Gui-Jun , Yang Guang , Zhang Bao , Feng Ya-Qing ,   School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China,   Tianjin Co-Innovation Center of Chemical Science and Engineering, Tianjin University, Tianjin 300720, China
Published: June 2022

Two-dimensional lead halide perovskite solar cell has shown great potential applications because of its relatively high stability in comparison with normal three-dimensional perovskite. More and more two-dimensional lead halide perovskites are used as absorbers in solar cells, but theoretical study on the structure-performance relationship of two-dimensional lead halide perovskites is still lacking. Therefore, starting form 3 kinds of fluorobenzylamine perovskites, first-principle calculations are carried out. By comparing their crystal structures, non-covalent interactions, formation energy, band structures, exciton binding energy, carrier mobilities of theses perovskites, and short-circuit current densities of their corresponding solar cells, the influences caused by organic spacers on the structural and electronic properties are studied. This research shows that the more negative the formation energy, the higher the stability of the optoelectronic device is, and the smaller the exciton binding energy, the larger the short-circuit current of the optoelectronic device is. A relationship for quantitative prediction of short-circuit current is proposed, and substitution with electron-withdrawing groups at the end of the spacer is expected to improve both the stability and short-circuit current density of optoelectronic device. The research results of this work can contribute to the design of new perovskite solar cells with high conversion efficiency.
The role of the river in the functioning of marginal fen: a case study from the Biebrza Wetlands
Authors: Grodzka-Łukaszewska Maria , Sinicyn Grzegorz , Grygoruk Mateusz , Mirosław-Świątek Dorota , Kardel Ignacy , Okruszko Tomasz
Published: June 2022

Study region

The area of interest is the Upper Biebrza Valley, located in NE Poland.

Study focus

We examined water exchange at the river-fen interface in a near-natural wetland system using the combined field research-modeling approach. The authors chose the Biebrza River as the research object: it is a specific case of fen marginal valley rivers, and it flows in the peat layer without direct connection to the mineral soil layer. Our case study introduces two new aspects not yet considered in the scientific literature: (1) the riparian aquifer is fen and (2) the river has no direct contact with the mineral layer. The following research questions were investigated: What is the role of the river in feeding and draining a fen? Which drainage paths are important for water exchange in a near-natural river-fen system? How important are the morphological settings for the river-fen relations? We applied a systematic hydrological research approach based on field measurements and observations of the river and surrounding fen hydrological characteristics, as well as on the modelling results.

New hydrological insights for the region

We demonstrated that morphological settings have a significant influence on river-fen relations. We also demonstrated that due to the undeniable need to introduce increased protection and restoration of marginal fens, we may focus on river status in narrow valleys; however, in the wide valleys, the limitation of the drainage layer by decreasing the intensity of evapotranspiration is more promising. We propose to distinguish zones in the fen river valley to include them when proposing protection or conservation plans.