bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Performance Investigation of a Unique Dual-rotor Savonius-type Counter-rotating Wind Turbine
Authors:   Center for Energy and Industrial Environment Studies (CEIES),  Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Didane Djamal Hissein , Kudam Do’arsherah ,   Department of Aeronautical Engineering,  Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Zulkafli Mohd Fadhli ,   Department of Aeronautical Engineering,  Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Mohd Sofian ,   Department of Aeronautical Engineering,  Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Mohideen Batcha Mohd Faizal ,   Center for Energy and Industrial Environment Studies (CEIES),  Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Khalid Amir ,   Center for Energy and Industrial Environment Studies (CEIES),  Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia
Published: November 2021

Wind power is sustainable and prevalent virtually all over the globe. However, the conversion efficiency of the conventional single-rotor wind turbine (SRWT) is still far from satisfactory. The dual-rotor counter-rotating concept is among the reliable techniques used to enhance the efficiency of a wind energy conversion device for its renowned effectiveness. This study aims to investigate the performance of a Savonius dual/twin-rotor system, particularly in low-speed wind conditions while employing the counter-rotating technique. The evaluation of this technique is presented in terms of aerodynamic characteristics, including the power and torque coefficients. The results have shown that the new concept was able to improve the performance of the system extensively and was capable of operating in a lower wind speed condition. Compared to a single-rotor system, an additional 42% more torque was possible owing to the existence of a second rotor in the new system. The results have also revealed that the conversion efficiency of the system has been enhanced substantially. A corresponding average power coefficient of up to 28% was achieved. The present technique is thought to be promising for wind energy conversion systems, including sites with poor wind conditions.
Influence of Precracking Techniques on Fracture Toughness of Carbon-Carbon Composites
Authors:   Department of Mechanical Engineering, Canara Engineering College, Mangalore, VTU, Karnataka, 574219, INDIA, B.V. Sunil Kumar , V. Londe Neelakantha ,   Department of Mechanical Engineering, Mangalore Institute of Technology and Engineering, Moodabidri, VTU,    Karnataka, 574225, INDIA, M Lokesha ,   Department of Mechanical Engineering, Mangalore Institute of Technology and Engineering, Moodabidri, VTU,    Karnataka, 574225, INDIA, Surendranathan A.O. ,   Department of Metallurgical and Material Science Engineering, NITK, Surathkal, Karnataka, 575025, INDIA
Published: November 2021

Carbon-Carbon composites are one such material which give designers significant importance for advanced applications over conventional materials. The remarkable characteristics of carbon-carbon composites had made these products initially extremely useful in the field of aerospace and defense applications. Now, they are presently used in many applications such as biomedical implants, glass, and high temperature glass, etc. In material science, fracture toughness is a trait that depicts the ability of a material to withstand fractures and is one of the most important features in many design applications of any material. A precracked specimen is a sample that is used to accurately assess the distribution of cracks and it is a favored method. This paper describes a comparison of four precracking techniques for carbon-carbon composites using SENB specimen. The potential implications of these techniques on fracture toughness values have been evaluated. The outcome of this work indicates that precracking with a jewel saw is recommended over the other techniques.
Thermal Modelling and Analysis of A 10HP Induction Machine Using the Lumped Parameter Approach
Authors:   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, NIGERIA, S.Ejiofor Oti , Chukwemeka Awah ,   Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Abia State, NIGERIA, Nnonyelu Chibuzo ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, NIGERIA, I.Okoro Ogbonnaya ,   Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Abia State, NIGERIA
Published: November 2021

The essence of this research work is to develop a thermal model for an induction machine that will enable the prediction of temperature in different parts of the machine. This is very important first to the manufacturer or designer of an induction machine because with these predictions one can decide on the insulation class limits the machine belongs to. Also modern trends in the construction of machines is moving in the direction of making machines with reduced weights, costs and increased efficiency. In order to achieve this, the thermal analysis becomes very crucial in deciding on what types of insulators and other materials that would be used to make these machines. In industries, the knowledge of the thermal limits of machines if well utilized increases the life span of the machines and reduces downtime; thereby increasing production and profit. Specifically, this paper (i) predicted the temperature limits of the induction machine and its components, (ii) developed an accurate thermal model for an induction machine, (iii) predicted the temperature in different parts of the induction machine using the thermal model and software program and lastly (iv) investigated how the machine symmetry is affected by the nodal configuration.
Theoretical Analysis and Performance Comparison of Multi-carrier Waveforms for 5G Wireless Applications
Authors:   ISNET Team, IMAGE Laboratory, EST  Moulay Ismail University of Meknes, Meknes, 11201, MOROCCO, Mestoui Jamal , El Ghzaoui Mohammed ,   FSDM Sidi Mohamed Ben Abdellah University, Fes, MOROCCO
Published: November 2021

Fifth generation (5G) wireless technology is a new wireless communication system that must meet different complementary needs: the high data rate for mobile services, low energy consumption and long-range for connected objects, low latency to ensure real-time communication for critical applications and, high spectral efficiency to improve the overall system capacity. The waveforms and associated signal processing present a real challenge in the implementation of each generation of wireless communication networks. Different research works have discussed this topic; but, these works are limited to the Filter-Bank Multi-Carrier (FBMC), Universal Filtered Multi-Carrier (UFMC), and Filtered Orthogonal Frequency-Division Multiplexing (F-OFDM) waveforms. In this work, we review the technical basics of the physical layer for the LTE system which uses, OFDM modulation for the downlink and the single carrier frequency division multiple access (SC-FDMA) technique for the uplink. Besides, this paper presents the diverse waveforms candidate for 5G systems, including, FBMC, UFMC, and F-OFDM, and compares these techniques with Constant Envelope-OFDM (CE-OFDM), which is an advantageous form regarding power consumption, especially for battery-powered devices. Simulations are carried out to compare the performance of the OFDM, CE-OFDM, F-OFDM, UFMC, and FBMC in terms of power spectral density (PSD) and Bit Error Rate (BER). It has been demonstrated that (CE-OFDM) constitutes a more efficient solution in terms of energy consumption than the other technics. By comparison with the other technics, the CE-OFDM scheme performances, in terms of BER and PSD, are controllable by the values of its parameters (M, h, and J). This advantage gives designers of the system to consider the mutual choice between spectral efficiency and the BER. Moreover, the (F-OFDM), (UFMC), and (FBMC) schemes could constitute a more efficient solution in terms of power spectral density. It can be concluded from this paper that CE-OFDM wave form gives the best performance in terms of power consumption by reducing the Peak to Average Power Ratio (PAPR) associated with the OFDM system and FBMC is an efficiency technique to reduce the inter-carrier interference (ICI).
Design of a 1.9 GHz low-power LFSR Circuit using the Reed-Solomon Algorithm for Pseudo-Random Test Pattern Generation
Authors:   Faculty of Engineering, Multimedia University, 63100, Jalan Multimedia, Cyberjaya, Selangor, MALAYSIA, Shivakumar Vishnupriya , Senthilpari C. ,   Faculty of Engineering, Multimedia University, 63100, Jalan Multimedia, Cyberjaya, Selangor, MALAYSIA, Yusoff Zubaida ,   Faculty of Engineering, Multimedia University, 63100, Jalan Multimedia, Cyberjaya, Selangor, MALAYSIA
Published: November 2021

A linear feedback shift register (LFSR) has been frequently used in the Built-in Self-Test (BIST) designs for the pseudo-random test pattern generation. The higher volume of the test patterns and the lower test power consumption are the key features in the large complex designs. The motivation of this study is to generate efficient pseudo-random test patterns by the proposed LFSR and to be applied in the BIST designs. For the BIST designs, the proposed LFSR satisfied with the main strategies such as re-seeding and lesser test power consumption. However, the reseeding approach was utilized by the maximum-length pseudo-random test patterns. The objective of this paper is to propose a new LFSR circuit based on the proposed Reed-Solomon (RS) algorithm. The RS algorithm is created by considering the factors of the maximum length test patterns with a minimum distance over the time t. Also, it has been achieved an effective generation of test patterns over a stage of complexity order O (m log2 m), where m denotes the total number of message bits. We analysed our RS LFSR mathematically using the feedback polynomial function to decrease the area overhead occupied in the designs. The simulation works of the proposed RS LFSR bit-wise stages are simulated using the TSMC 130 nm on the Mentor Graphics IC design platform. Experimental results showed that the proposed LFSR achieved the effective pseudo-random test patterns with a lower test power consumption of 25.13 µW and 49.9 µs. In addition, proposed LFSR along with existing authors’ LFSR are applied in the BIST design to examine their power consumption. Ultimately, overall simulations operated with the highest operating frequency environment as 1.9 GHz.
Examining Swarm Intelligence-based Feature Selection for Multi-Label Classification
Authors:   Duhok Polytechnic University, Duhok, Kurdistan Region-IRAQ, Ahmed Awder Mohammed , Abdulazeez Adnan Mohsin ,   Duhok Polytechnic University, Duhok, Kurdistan Region-IRAQ
Published: November 2021

Multi-label classification addresses the issues that more than one class label assigns to each instance. Many real-world multi-label classification tasks are high-dimensional due to digital technologies, leading to reduced performance of traditional multi-label classifiers. Feature selection is a common and successful approach to tackling this problem by retaining relevant features and eliminating redundant ones to reduce dimensionality. There is several feature selection that is successfully applied in multi-label learning. Most of those features are wrapper methods that employ a multi-label classifier in their processes. They run a classifier in each step, which requires a high computational cost, and thus they suffer from scalability issues. Filter methods are introduced to evaluate the feature subsets using information-theoretic mechanisms instead of running classifiers to deal with this issue. Most of the existing researches and review papers dealing with feature selection in single-label data. While, recently multi-label classification has a wide range of real-world applications such as image classification, emotion analysis, text mining, and bioinformatics. Moreover, researchers have recently focused on applying swarm intelligence methods in selecting prominent features of multi-label data. To the best of our knowledge, there is no review paper that reviews swarm intelligence-based methods for multi-label feature selection. Thus, in this paper, we provide a comprehensive review of different swarm intelligence and evolutionary computing methods of feature selection presented for multi-label classification tasks. To this end, in this review, we have investigated most of the well-known and state-of-the-art methods and categorize them based on different perspectives. We then provided the main characteristics of the existing multi-label feature selection techniques and compared them analytically. We also introduce benchmarks, evaluation measures, and standard datasets to facilitate research in this field. Moreover, we performed some experiments to compare existing works, and at the end of this survey, some challenges, issues, and open problems of this field are introduced to be considered by researchers in the future.
Live Instruction Predicts Engagement in K–12 Remote Learning
Authors: Aguilar Stephen J. , Galperin Hernan , Baek Clare , Gonzalez Eduardo
Published: November 2021

How does live instruction relate to student engagement in distance learning? Does the relationship differ across grade levels? This study addresses these questions by examining data from a random sample of families from a large urban school district in southern California. We find a strong correlation between live instruction and student engagement in online learning among elementary school students, with every additional hour of live instruction per week increasing the probability of reporting that students have completed all their schoolwork by 26%. The correlation is also significant though smaller in magnitude for middle and high school students.
Legal Framework for Green Finance in the EU and Russia
Authors:   State Academic University for the Humanities, Moscow 119049, Russian Federation, Sannikova Larisa V.
Published: November 2021

The climate agenda has recently taken on new significance with global climate change threatening all of humanity. The regulation of green finance instruments needs to be improved in order to attract more money to fight global warming. To ensure investor confidence in green instruments, a common standard for them must be created. The European Union and Russia have been forming a regulatory framework aiming to create national standards for green bonds. The present article analyses the European Commission’s proposed package of measures to help improve the flow of money toward financing the transition to a sustainable economy. The author explores the problems of developing legal regulation of sustainable finance in Russia, especially with regard to the creation of a national taxonomy of green projects and national verification of sustainable financial instruments. The comparative legal study of the EU and Russian draft laws on green finance has demonstrated similar approaches to establishing regulatory rules. The article describes the prospects for green finance in the context of digitalization. Based on a study of best practices (Green Assets Wallet, green bonds, etc.), it is concluded that digital solutions for sustainable finance are currently still not well-developed. In the future, however, their use will significantly increase investor trust in green instruments and reduce costs, in particular through digitalization of the verification process.
Contributions of general practitioners in China facing the COVID-19 outbreak
Authors: Chen Kai , Liang Cuifei , Ruihong Lui
Published: November 2021

During the COVID-19 pandemic, general practitioners have played the crucial part of health gatekeepers, which should be acknowledged and appreciated.
How ‘public’ is communicated in China’s public diplomacy: communicating environmental justice in the case of air pollution in China
Authors: Zhao Xin
Published: November 2021

This study re-evaluates the media communications of the domestic public’s interests related to environmental justice in the case of China’s air pollution in China’s public diplomacy initiatives. It examines media representations of environmental justice by China’s state-sponsored China Daily, and compares them with the Hong Kong-based South China Morning Post, and British and American mainstream newspapers. The examination starts from 2015, when Beijing issued the first ever red alert for air pollution, to 2018, when air pollution still haunted the country. This study finds that, besides the general policy schemes of smog mitigation, China Daily extended coverage to the general causes of smog and the domestic public’s detailed demands for smog mitigation. It mainly adopted a neutral tone in covering environmental justice. The obvious discrepancy in coverage patterns between China Daily and other news media appears in the tone of covering ‘adequacy’ in environmental justice, with the former being neutral and the latter adopting more critical voices. This study offers a better understanding of China’s evolving governmental stances in dealing with environmental justice issues in the case of air pollution.
Human freezing responses to virtual characters in immersive virtual reality are impacted by body expression, group affiliation and threat proximity
Authors: Mello Manuel , Dupont Lennie , Engelen Tahnée , Acciarino Adriano , de Borst Aline W. , de Gelder Beatrice
Published: November 2021

Social threat requires fast adaptive reactions. One prominent threat-coping behavior present in humans is freezing, of which heart rate deceleration and reduced postural mobility are two key components. Previous studies focused mainly on freezing reactions in rodents, but now virtual reality offers unique possibilities for controlled and ecologically valid lab-based experiments. Using immersive virtual reality, this study examined how several understudied aspects of social threat, i.e., emotional body expressions, group affiliation, and distance from the potential threat, affect freezing behavior in humans. Reduced heart rate and postural mobility were observed in participants when they faced aggressive-looking and proximal avatars. Freezing was also observed for ingroup aggression when participants were embodied in a black-skinned virtual body and faced black-skinned aggressive and proximal avatars. Our results, based on a highly ecological virtual reality paradigm, provide novel evidence on the social factors that elicit freezing behavior in humans.
Best Practices for Addressing Missing Data through Multiple Imputation
Authors: Woods Adrienne D. , Gerasimova Daria , Van Dusen Ben , Nissen Jayson , Bainter Sierra , Uzdavines Alex , Davis-Kean Pamela , Halvorson Max Andrew , King Kevin Michael , Logan Jessica A. R. , Xu Menglin , Vasilev Martin R. , Clay James M , Moreau David , Joyal-Desmarais Keven , Cruz Rick Anthony , Brown Denver M. Y. , Schmidt Kathleen , Elsherif Mahmoud Medhat
Published: November 2021

A common challenge in developmental research is the amount of incomplete and missing data that occurs from respondents failing to complete tasks or questionnaires, as well as from disengaging from the study (i.e., attrition). This missingness can lead to biases in parameter estimates and, hence, in the interpretation of findings. These biases can be addressed through statistical techniques that adjust for missing data, such as multiple imputation. Although this technique is highly effective, it has not been widely adopted by developmental scientists given barriers such as lack of training or misconceptions about imputation methods and instead utilizing default methods within software like listwise deletion. This manuscript is intended to provide practical guidelines for developmental researchers to follow when examining their data for missingness, making decisions about how to handle that missingness, and reporting the extent of missing data biases and specific multiple imputation procedures in publications.
Assyrian Merchants meet Nuclear Physicists: History of the Early Contributions from Social Sciences to Computer Science. The Case of Automatic Pattern Detection in Graphs (1950s-1970s)
Authors: Plutniak Sébastien
Published: November 2021

Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains one of the unsolved NP-complete problems today. The research led by the archaeologist Jean-Claude Gardin from the 1950s on non-numerical information and graph analysis is retraced to demonstrate the early contributions of social sciences and humanities. The limited recognition and reception of Gardin's innovative computer application to the humanities are addressed through two factors, in addition to the effects of historiography and bibliographies on the recording, discoverability, and reuse of scientific productions: (1) funding policies, evidenced by the transfer of research effort on graph applications from temporary interdisciplinary spaces to disciplinary organizations related to the then-emerging field of computer science; and (2) the erratic careers of algorithms, in which efficiency, flaws, corrections, and authors’ status, were determining factors.
Effect of Sildenafil on Mortality in Term Neonates with Hypoxemic Respiratory Failure due to Persistent Pulmonary Hypertension (SIPHON) - A Randomised Control Trial
Authors: Thandaveshwara Deepti , Krishnegowda Sushma , Hosur Divya , Doreswamy Srinivasa Murthy
Published: November 2021

Introduction: Persistent Pulmonary Hypertension (PPHN) complicates the transition from intrauterine to extrauterine life in some neonates. Sildenafil is known to reduce pulmonary pressures. However, its effect on reducing mortality is unclear. This study is conducted to determine the effect of Sildenafil in reducing all-cause mortality rate in term newborns with hypoxemic respiratory failure due to pulmonary hypertension.
Methods: This was a double-blinded randomised control trial done in a level 3 neonatal intensive care unit. Term neonates on mechanical ventilation with an Oxygenation Index (OI) > 15, and echocardiography suggesting PPHN were included in the study. The drug group received intravenous Sildenafil and the placebo group normal saline. The difference in the mortality rate between the two groups was analysed.
Results: Eleven babies were randomised to the drug group and 12 to the placebo group. Both the groups matched in terms of their baseline characteristics. The difference in the drop of OI and right ventricular systolic pressure (RVSP) between the drug and placebo groups was not statistically significant. The relative risk of mortality was 0.436 in the intervention group (95% CI 0.105 to 1.80). The difference in the mortality rate was not statistically significant with P- value of 0.252. The rate of complications such as necrotising enterocolitis, sepsis, and pneumothorax was not different between the two groups.
Conclusions: Intravenous sildenafil does not have any significant benefit over placebo in reducing all-cause mortality, oxygenation index, RVSP or complications when compared to placebo.
Penerapan Algoritma Convolutional Neural Network Dan Arsitektur MobileNet Pada Aplikasi Deteksi Penyakit Daun Padi
Authors: Saputra Rizal Amegia , Wasiyanti Sri , Supriyatna Adi , Saefudin Dede Firmansyah
Published: November 2021

Padi merupakan tanaman pangan penghasil beras, dan indonesia merupakan negera yang mayoritas penduduknya menjadikan beras sebagai makanan utama, jumlah penduduk yang semakin meningkat, perlu menjaga kualitas padi agar resiko gagal panen dapat dihindari. Banyak faktor yang dapat menimbulkan resiko gagal panen salahsatunya itu penyakit daun padi, Pada penelitian ini diusulkan Algoritma Convolutional Neural Network untuk klasifikasi penyakit daun padi yang berdasarkan citra. Arsitektur yang digunakan pada penelitian ini menggunakan MobileNetVI dengan menggunakan ekstraksi fitur. Dataset berasal dari UCI Repository sebanyak 120 yang terdiri dari 3 penyakit daun padi yaitu Bacterial leaf blight,  Brown spot, Leaf smut. Berdasarkan hasil pelatihan dan pengujian menggunakan citra penyakit daun padi yang berukuran 224x224 piksel didapat hasil nilai akurasi pelatihan mencapai 1.0 dan nilai akurasi validasi mencapai 0.8333. Nilai akurasi pada Confusion Matrix yaitu sebesar 92%, hasil ini menjadi bukti bahwa dengan penerepan algorima CNN dan MobileNetVI dengan ekstraksi ciri memiliki akurasi yang baik sekali. Percobaan pada aplikasi yang dibangun hasil proses pengujian berbasis android terbukti dapa mengklasifikasikan jenis penyakit daun padi.
Protestant Church of Maluku Ecclesiology: From Calvinism to Fuse to Become Pancasilaism
Authors: Nuban Timo Ebenhaizer I. , Santoso Agus , Kurnia Putrawan Bobby
Published: November 2021

This article aims to explore the concept of ecclesiology of the Calvinist-based Protestant Church of Maluku, which fused into Pancasilaism with a contextual approach. This is based on the identity of Maluku and the awareness of being Indonesian ingrained in the life of the Maluku Protestant Church, and this becomes very anomalous if the characteristics and dynamics of life of the unit of observation that are later discovered and displayed are actually westernized. The results of this article are first, to encourage writing down that imagination, which is still in the form of tacit knowledge, as explicit knowledge in books; second, to make theological beliefs the basis for developing imagination; third, to sew sociological facts together with theological premises in one narrative.
ОСОБЛИВОСТІ ПРОЦЕСУ ФОРМУВАННЯ ТЕХНІКИ СПОРТИВНИХ РУХІВ ПРИ ЗАСТОСУВАННІ РІЗНИХ МЕТОДІВ НАВЧАННЯ І З УРАХУВАННЯМ СИЛИ НЕРВОВОЇ СИСТЕМИ ЮНИХ СПОРТСМЕНІВ
Authors: Ю. В. Близнюк
Published: November 2021

Підвищення ефективності процесу навчання техніці фізичних вправ продовжує залишатися важливою задачею в усіх видах спорту. Протягом декілька років збирався і узагальнювався практичний матеріал з застосування нетрадиційних методів формування техніки спортивних рухів в різних видах спорту у спортсменів з різною силою нервової системи відносно збудження. Всього в дослідженнях прийняли участь 495 спортсменів віком 11-13 років. Їх було поділено за силою нервової системи на 3 групи: «сильних», «середніх» і «слабких». Для цього були використані найбільш  доступні і обꞌєктивні методики: рухова методика, теппінг-тест, проба на перешкодостійкість. Було встановлено, що в більшості випадків спортсмени сильного типу з більшим успіхом оволодівали матеріалом в процесі проблемного навчання, «слабкі» - при застосуванні репродуктивного методу, а «середні» у всіх випадках показували приблизно однакові результати.Процес формування техніки у спортсменів з різною силою нервової системи протікає по-різному. Незалежно від методу повільніше навчаються хлопчики сильного типу. Динаміка зміни їх показників свідчить про те, що найбільші успіхи приходяться на перші заняття, коли відбувається оволодіння часовими характеристиками фізичних вправ. Помічено, що «сильні» в умовах застосування ігрового методу почувають себе більш упевненими і показують більш високі результати, ніж інші.
CONTROLE E PLANEJAMENTO DE ESTOQUE
Authors: Silva Santos Felipe , Lemos Stella Vannucci
Published: November 2021

A falta de materiais é um dos grandes problemas enfrentados por empresas tanto de pequeno, médio ou grande porte, acarretando grandes despesas com matéria prima. No ano de 2020 houve a pandemia global do Covid-19, o que especificamente para empresas gerou-se uma intensa demanda de matéria-prima, derivando-se em escassez de diversos produtos, e consequentemente, uma necessidade de retenção de custos e estoque otimizado. Dito isso, este artigo tem como objetivo avaliar as causas e efeitos da escassez de materiais para fornecimento, em uma empresa metalúrgica de pequeno porte. Constatou-se que as causas principais foram a falta de acompanhamento do planejamento por parte dos vendedores; e a falta de acompanhamento dos materiais comprados, que dificulta a tomada de decisão; ambas as causas intensificadas pela pandemia do Covid-19. Sendo assim, é necessário destacar que este artigo é um estudo de caso, permitindo que o mesmo seja usado para pesquisas futuras e melhorias por empresas de mesmo porte que apresentam a mesma dificuldade.
NAGIOS – MONITORANDO A SAÚDE DE SERVIÇOS, SISTEMAS E DISPOSITIVOS DE REDE
Authors: Fornaroli Gabriele Karoline , Alves Renato dos Santos
Published: November 2021

Monitorar serviços e dispositivos de rede é altamente significativo e importante em uma organização, é ele que vai informar onde e porque um serviço não realiza sua função de forma mais adequada e eficaz. O presente estudo tem por objetivo implementar a ferramenta Nagios para fornecer um melhor controle e monitorar a saúde dos serviços, assim como analisar seu desempenho. Tem como metodologia o levantamento de dados a partir de artigos científicos, livros e revistas. Como resultados esperados e dando importância à opinião de um especialista que faz uso da ferramenta, esperamos que o Nagios tenha um desempenho considerável com seu monitoramento e realmente seja qualificado para ser implementado em empresas de grande, médio ou pequeno porte. O Nagios é uma ferramenta flexível e que tornou-se um grande aliado dos administradores, pois sendo o monitoramento de redes cada vez mais importante, o mesmo acabou tomando um lugar significativo no mercado de trabalho.
ESTUDO DAS FUNCIONALIDADES DOS DRONES NA AGRICULTURA
Authors: Parlangeli Gonçalves Vinícius , Alexandre Cavichioli Fábio
Published: November 2021

A modernização na agricultura vem se tornando algo essencial em qualquer tipo de cultivo, aliando praticidade com aumento de qualidade e de produção. Várias práticas e instrumentos tecnológicos estão sendo adotados pelos produtores para auxiliá-los, permitindo maior controle perante a cultura. Uma dessas tecnologias utilizadas cotidianamente no campo são os drones. Tratam-se de Veículos Aéreos Não Tripulados (VANT), que apresentam uma infinidade de funções, como pulverização, fotografar a plantação, identificação de possíveis danos, entre outros. O artigo tem como objetivo expor as funcionalidades dos drones na agricultura, buscando informações em artigos e sites com relevância. Concluísse que os drones são atualmente uma ferramenta indispensável na agricultura com potencial de crescer ainda mais e estar presente na maioria das plantações existentes.
IMPORTÂNCIA DE ALIMENTOS GENETICAMENTES MODIFICADOS PARA O AGRONEGÓCIO
Authors: Pereira da Silva Viviane , Alexandre Cavichioli Fabio
Published: November 2021

Os produtores rurais tiveram seus lucros exponenciais, devido ao plantio de variantes genéticas modificadas, pois as mesmas reduzem os custos, aumenta a área produtiva em hectares, sendo mais resistentes que as variantes convencionais. Outro aspecto importante condiz com expansão populacional, fazendo com que os Organismos Geneticamente Modificados, sejam um forte aliado para o fornecimento de alimento em decorrência das estimativas de crescimento exponencial no que concerne a quantidade de pessoas no mundo. Este artigo é uma revisão bibliográfica, que tem como objetivo discutir a utilização da biotecnologia moderna em relação aos organismos geneticamente modificados e sua importância para o agronegócio e propulsão da economia em todo país. Ao longo do estudo será discorrido a história da biotecnologia, a evolução da mesma, surgimento e adoção de OGMs nos países A falta de informações faz com que muitas pessoas rechaça a utilização desses organismos, mas dados de relatórios mundiais constaram durante anos de estudo que o mesmo não polui o ambiente e são iguais as variantes convencionais.  A ciência existe para auxiliar na evolução e melhorias de vida das pessoas, buscando informações sérias e contundentes. É fato que transgênicos, que são organismos modificados vieram para ficar, e no geral só trouxeram lucratividade e produtividade ao agronegócio, refletindo em vários setores na economia e geração de empregos.
USO DE SISTEMAS DE INFORMAÇÃO NO AMBIENTE EMPRESARIAL
Authors: Martins Jaqueline Castro , Campos Ronaldo Ribeiro de
Published: November 2021

O presente trabalho apresenta um estudo voltado para o uso da tecnologia da informação no ambiente empresarial com enfoque em sistemas de informação, uma vez que muitas empresas investem nesse tipo de sistema para alcançar melhores resultados. O trabalho tem como objetivo apresentar os benefícios que o uso da tecnologia de informação, incorporados aos ambientes dos sistemas de informação proporcionam para as empresas. As metodologias utilizadas para a realização do estudo basearam-se na pesquisa Bibliográfica, realizada por meio de livros, sites e periódicos disponibilizados eletronicamente, juntamente com a aplicação técnica do levantamento de dados. Foram selecionados cinquenta (50) artigos sobre sistemas de informação adotados em diversas áreas das organizações. Após uma análise para localização dos benefícios descritos, os resultados apontam para uma coerência entre os benefícios indicados pela literatura sobre o assunto e aqueles encontrados nas implantações feitas pelas organizações, destacando-se as questões de um melhor fluxo de informação e processo de tomada de decisão.
IMPORTÂNCIA DA TECNOLOGIA NA EDUCAÇÃO DURANTE O PERÍODO DE PANDEMIA DA COVID-19
Authors: Sadala Daniel , Gibertoni Daniela
Published: November 2021

Em dezembro de 2019, a China notificou a Organização Mundial da Saúde (OMS) sobre a epidemia de um vírus similar a uma pneumonia viral na província de Wuhan. Em março de 2020, foi decretado estado de pandemia em todos os cantos do mundo em decorrência da alta infectividade do novo coronavírus, a fim de atenuar sua grande contaminação, autoridades do mundo inteiro, inclusive no Brasil, optaram por adotarem manobras que visassem a minimização de contágio, uma dessas manobras foi o isolamento social, tornando rotinas tradicionais um pouco mais flexíveis, como o caso do ensino a distância. Por meio de um levantamento bibliográfico, buscou-se averiguar os principais impactos da tecnologia na educação no período de pandemia de COVID-19.
ANÁLISE DA CONTRATAÇÃO DOS PROFISSIONAIS UX PELAS EMPRESAS BRASILEIRAS
Authors: Fessore Rodrigo , Gibertoni Daniela
Published: November 2021

A experiência do usuário (UX) é um termo utilizado há duas décadas e é definida como a experiência que o produto cria para as pessoas que o usam. O objetivo deste estudo é realizar um mapeamento sobre os anúncios de vagas com o tema UX no mercado brasileiro, analisando se as empresas utilizam o termo com a sua definição legítima ou se aproveitam de um modismo acerca do tema. Para tanto, foi realizado um levantamento sistemático por amostragem das vagas de emprego oferecidas para profissionais UX disponíveis nos dois principais canais de ofertas de emprego do país utilizando as palavras-chave “UX Designer” e “Programador UX”. O período analisado foi entre 15 de fevereiro e 26 de março de 2021 e, destas, 30% das ofertas mais recentes, foram selecionadas. Um total de 135 anúncios do portal A e 86 anúncios do portal B foram analisados em relação ao nível de experiência solicitado, ao termo que as empresas utilizam ao se referir ao profissional UX, qual a área de formação exigida, entre outros. Foram respondidas algumas perguntas como: qual o termo que as empresas utilizam para se referir ao profissional UX e qual a área de formação que as empresas exigem deste profissional? Com os resultados foi possível responder essas questões e ainda identificar outros fatores interessantes.
IMPACTO DAS FAKE NEWS NA SOCIEDADE
Authors: Barboza Endrigo Dellacorte , Servidoni Monica Cristina
Published: November 2021

A expressão fake news tem várias interpretações, em síntese é usada para definir notícias falsas, e é direcionada à realidade digital para resignar informações que possuem como finalidade maleficiar algum individuo ou instituições. Os conteúdos são compartilhados por sites e redes sociais, sendo as mais populares o Facebook, Twitter e WhatsApp, a disseminação das fake news também podem ocorrer através de robôs, em sua apresentam cunho político e financeiro. O combate as fakes news de responsabilidade das plataformas digitais, dos usuários e também do governo, e pode ser realizada através da checagem das fontes que publicaram a notícia e por meio de medidas públicas. A pesquisa tem como objetivo abordar através de uma revisão bibliográfica as possíveis consequências que as fake news podem acarretar ao cotidiano da sociedade. As analises demonstram que as desinformações no cenário político acarretar influências nos processos eleitorais interferindo diretamente na democracia. As pesquisas também apontam que as informações incorretas podem desmoralizar o legado de alguém ou então riscos à saúde humana. É possível considerar que o acesso a internet e consequentemente, as grandes quantidades de informações vinculadas diariamente podem ocasionar consequências reais a população, mas seria necessário mais estudo para inferir sobre como as fake news afetam os comportamentos informacionais.
Impact of COVID-19 on several industries in context with the sperm bank industry
Authors: Gujrathi Ashish
Published: November 2021

COVID-19 is an infectious disease that originated in Hubei province of the Wuhan city in China in late December. The highly contagious disease, caused by a virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is transmitted from humans to humans. After the first case in Wuhan, the disease rapidly spread to other parts of the globe. On March 11, 2020, the World Health Organization (WHO) made an assessment that COVID-19 can be characterized as a pandemic. Thus, social-distancing became an important measure to stop the spread of this disease. Various countries across the world adopted nationwide lockdown. This led to a completely new scenario for the world, where every business in each industry faced new challenges and witnessed new opportunities.
Classical Soliton Theory for Studying the Dynamics and Evolution of in Network
Authors: Belyakin Sergey , Shuteev Sergey
Published: November 2021

This paper presents the dynamic model ofthe soliton. Based on this model, it is supposed to study the state of the network. The term neural networks refersto the networks of neurons in the mammalian brain. Neurons are its main units of computation. In the brain, they are connected together in a network to process data. This can be a very complex task, and so the dynamics of neural networks in the mammalian brain in response to external stimuli can be quite complex. The inputs and outputs of each neuron change as a function of time, in the form of so-called spike chains, but the network itself also changes. We learn and improve our data processing capabilities by establishing reconnections between neurons.
Which Self Represents Sapiens? Biological, Psychiatric, Psychological or Religious?
Authors: Khodadady Ebrahim , Zahani Zahra Hosseini
Published: November 2021

Background: The physical science of biology and social sciences of psychiatry, psychology and religion address “self” as one of their main themes of investigation. Objective: to find out which self-described by these sciences represents “sapiens” distinguished from all other organisms because of having wisdom. Methodology: a representative text of biology was chosen and subjected to textual and statistical analyses and contrasted to those of psychiatry, psychology and religion. Results: Biology, psychiatry and psychology employ the eight-taxon structure of Linnaeus [1] in which wisdom has no role to play and thus “sapiens” are treated as if they were similar, if not the same as, all other species of plants and animals. Religion, however, divides “sapiens” to three types of self-based on whether they exercise their wisdom or not. Conclusion: Biology, psychiatry and psychology render all selves including “sapiens” subject to life on the earth and justify whatever they do in terms of securing and enjoying it. Religion, however, lifts “sapiens” to the vicegerency of God and holds them responsible for the type of self they choose to become by extending life to hereafter.
A Modern Approach to Assessing the Satisfaction of Medical Staff in a Psychiatric Institution with the Quality of Medical Services
Authors: TA Gafarov , NA Aliyev , ER Hagverdi
Published: November 2021

Purpose: The aim of the study is to develop a methodology for assessing the quality of mental health services. Research material - The participation of psychiatric staff in a sociological study of the availability and quality of mental health services. Refusal of psychiatric staff to participate in the survey. The necessary questionnaires were provided to record the psychiatric staff's responses to the survey. The questionnaires were completed by the surveyed nurses as workplace respondents. In order not to violate the anonymity of the survey, the last name or first name of the respondent should not be indicated in the questionnaire. The study involved 100 people. Results - A social survey of patients in psychiatric institutions is of great importance and highlights a number of questions aimed at improving it. Thus, in order to improve the work of the hospital, first of all, the results of a sociological survey conducted among psychiatric workers should be taken into account. Employees are very incompetent to involve family members in the treatment of patients - 20%. Conclusion - There is no doubt that future solutions to the main problems identified in this paper will help improve the quality of mental health care.
Optimization of MIG welding parameters
Authors: Hameed Majeed Noor , Esmaeel Radhi Hazim , J. Abid Hadier
Published: November 2021

Welding is a technique used for joining metal parts usually during the application of heat. There are many types of welding, including an electric arc welding this means that welding is a process in which the electric arc forms a metal work piece and an electrode, which leads to this work to heat the metals and cause them to melt, and connect them with an inert metallic gas (MIG). This study clarifies the conclusion of welding parameters such as travel speed, current and wire feeding speed to medium carbon steel through Welding. Get the greatest parameters as it gives nature to alteration of the strength and the quality of product and its impact on tensile strength, and hardness at studies the conduct of AISI 1040 steel by using the Taguchi method in this experimental procedure and analysis of variance in Minitab software and Optimization method (OptiY program / Evolutionary Algorithms). It was found that the increase in current leads to an increase in the amount of tensile strength(TS) and hardness of the material. Also, decreasing the welding speed during the welding process leads to an increase in the tensile strength and hardness of the welding area. While, the effect of the input welding wire feed values ??on the welding region, specifications are largely dependent on the welding current and welding speed values chosen
Numerical prediction for a heat exchanger performance by employing various orientations of longitudinal fins
Authors: Abed Kareem Hiyam , S. Mushatet Khudheyer , H. Fag Mohsen
Published: November 2021

This paper studies numerically the impact of installing longitudinal fins on the performance of a DPHE. Different heights were considered for these fins and three different profiles; rectangular, triangular, and semi-circular were investigated. Fins were fixed on the internal surface of the annulus side. The numerical investigation was carried out for counter flow. The study is performed in two cases. The first one was of a constant hot water mass flow rate (mh) at (0.3) kg/s and varying values of cold water mass flow rate (mc) which was from 0.2 to 1 kg/s. The second case was of a constant cold water mass flow rate (mc) at (0.3) kg/s and changing hot water mass flow rate (mh) which was from 0.2 to 1 kg/s. Inlet temperature of hot water was 353k and for cold water was 298k. The results showed that using longitudinal fins enhances the (DPHE) thermal performance. Also, semi-circular profile gave more enhancement in the rate of heat transfer compared to other studied profiles
The Pavement Condition Index (PCI) Method for Evaluating Pavement Distresses of The Roads in Iraq- A Case Study in Al- Nasiriyah City
Authors: A.R. Temimi Feras , Hadi M. Ali Ameer , H. F. Obaidi Amenah
Published: November 2021

The pavement condition index (PCI) method provides a simple way for determining maintenance and repair (M-R) needs and priorities. The PCI procedure was developed by the U.S. Army Corps of Engineers in 1997. In this study, an attempt was made to adopt the PCI method to evaluate the pavement state and suggest suitable maintenance and repair (M-and-R) works for the 13 damaged roads. The area of the study is roads net damaged with raveling distress in Al-Hadharat Quarter in the city of Nasiriyah which located in the south of Iraq. The pavement had divided into branches which sub-divided into sections. The type and severity of pavement distress were assessed by visual inspection. The distress data used to calculate the PCI for each sample unit. Then the PCI of the whole pavement section is determined. The calculated PCI was assessed with the pavement condition rating. The results show that the PCI Rating evaluation was ranging from fair to poor roads, very poor and one case of serious, but never reached to fail case in any of the studied roads. The study shows that the (PCI) method provides a suitable measure of the present condition of the pavement. The main conclusion of the study is the ability to conduct the PCI method to diagnose pavement distresses and evaluate pavement condition in the studied area. The use of (PCI) method is efficient in the prior evaluation of road condition in order to implement suitable maintenance to the distressed pavement
Exploring Successful Small Urban Spaces’ Criteria with Emphasis on Cultural Context
Authors: Partovi Parvin , Sedaghat Rostami Kebria , Shakibamanesh Amir
Published: November 2021

In the crowded cities of the present age, public spaces can provide a quiet area away from the hustle and bustle of the city that citizens can interact with by incorporating
utility features and meeting human needs and Relax there. Small urban spaces are among the most important and effective urban spaces to achieve this goal. Because these spaces due to their small size and lower costs (compared to larger spaces) for construction can be created in large numbers and distributed throughout the city. In this way, citizens will be able to reach a public urban space on foot in a short time. If these spaces are well designed, they can encourage people to stay in and interact with each other. It is not difficult to identify and experience high-quality successful places, but identifying the reasons for their success is difficult and even more difficult, understanding if similar spaces in other places can be considered successful. This question is important because public space with deep social content is considered a cultural product. Public space is the product of the historical and socio-cultural forces of society. Therefore, one of the most important issues that should be considered in the study of public spaces and the reasons for their success is the cultural context. In Iranian cities that have been influenced by the values and principles of Islam,recognizing Islamic principles and their role in shaping public
spaces can lead us to desirable results. The purpose of this article is to develop a conceptual model of successful small urban spaces with an emphasis on cultural issues,
especially in Iranian-Islamic cities. In this regard, the effective criteria for the success of urban spaces in general and small urban spaces in particular in the two categories of
Western countries and Iranian Islamic cities were examined and then, taking into account the criteria derived from cultural theorists, the conceptual model of research with 38 subcriteria is provided.