bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Predicition of Solar Flares Using Millimeter Radio Brightenings
Authors: Kallunki J. 
Published: April 2023

Abstract
Solar activity could have significant impacts on various Earth and near-Earth space systems, such as satellite communication and power grid systems. The prediction of solar activity and active solar events plays a major role when preparing for these disturbances. Various satellite-based instruments constantly observe the Sun. However, only a few ground-based solar instruments could provide versatile enough information for the space weather prediction. Metsähovi Radio Observatory of Aalto University (Finland) has a unique collection of millimetre (8 mm) solar radio maps over the past 40 years, and even denser observational solar radio data catalogue since 2011. About 75–80 % days yearly are covered nowadays. This gives opportunity to make statistical estimation of solar flare occurrence based on solar radio maps. In this study, we had 2253 days when both solar radio map and GOES (Geostationary Operational Environmental Satellites) classified solar flare were observed. In this work, we used solar flare classification done by the Space Weather Centre (SWC) of the National Oceanic and Atmospheric Administration (NOAA). The data were observed between 1 January 2011 and 12 September 2022. Our study shows that the maximum intensity of radio brightenings is a good indicator to tell which kind of GOES classified solar flare could be expected to happen. The article presents that intense radio brightening is needed to produce a certain GOES classified solar flare.
Radio Measurements of Coronal Magnetic Fields in Fan-Spine Configurations on the Sun
Authors: Ryabov B. , Vrublevskis A. 
Published: April 2023

Abstract
Recent interest of solar physicists in the analysis of the coronal mass ejections and circular solar flares in fan-spine magnetic configurations (FSCs) necessitates measurements of the corresponding coronal magnetic fields. A dominant sunspot with the circumjacent magnetic flux of opposite polarity produces a specific coronal region of the quasi-transverse (QT-) propagation of microwaves. We make use of the theory of QT-propagation to evaluate the strengths of coronal magnetic fields in the active regions NOAA 11579, 12242, and 12488 while they are non-flaring. Microwave polarization changes were observed with the RATAN-600 radio telescope, the Siberian Solar Radio Telescope, and the Nobeyama Radioheliograph. Changes in the sign of circular radio polarization provide the strengths of coronal fields in a QT-region if the coronal plasma density N
e and the length scale of magnetic field divergence L
d are known. We evaluate the length scale by means of the potential-field source-surface (PFSS) model and the coronal density from the Gaussian inversion of the differential emission measure (from the Solar Dynamics Observatory observational data), obtaining N
e
L
d = (0.46–0.64)×1010 m−2. The resulting coronal fields of 1.4×10−3 T and 2.34×10−3 T are attributed to the heights of 100 Mm and 50.2 Mm. We discuss the validity and consistency of the involved values to draw conclusions on the feasibility of coronal radio magnetography of FSCs.
Quadcopter Prototype Stability Analysis Using Matlab Simscape Library
Authors: Djizi Hamza , Zahzouh Zoubir , Lakehal Abdelaziz 
Published: April 2023

Abstract
Nowadays, the use of quadcopters in daily life has become important due to its capabilities and ability to carry out many tasks in many fields like civil, military, industrial, and agricultural fields. The modelling of the quadcopter and deeply understanding its movements is very important to ensure that the simulations of its behaviour are as close as possible to reality and also helps us to design a flight controller. In this work, we used a modern technique on MATLAB (Simscape) to simulate a quadcopter in real-time. At first, we build a quadcopter using Simscape multibody then we simulated the PID regulator, the command algorithms, and the motor model with the applied forces on the body to achieve the global model that we can use to study the movement of the quadcopter on the three-axis which ensure a stable functioning. The results obtained show the stability of the four movements of the quadcopter (roll, pitch, yaw, and altitude).
The Development of a Macro Model for a 26650-Type Battery Cell
Authors: Fadel Issa 
Published: April 2023

Abstract
The curves for charge and discharge experiments demonstrate specific temperature and current behaviour for the 26650-type battery cell. For that reason, it is extremely important the heat impact on electrochemical reactions and on transfer actions. The base for model parameterization is built by isothermal simulations at different temperatures. In this article, there are presented modifications of thermodynamics and kinetics to accomplish a good connection with the results of the processes concerning charge and discharge curves for different C-rates and various background heat.
Temperature Monitoring System and Water Control from a Thermosolar Panel
Authors: Ungureanu Catrina , Avram Miruna , Stănescu C. , Preduşcă G. 
Published: April 2023

Abstract
The present work aims to present the operation mode, both theoretically and practically, of an automatic monitoring and control system of the water circuit in a system with thermosolar panels, as well as the main advantages that it constitutes as an automated system of this kind, both in industry and in the everyday life of each of us.
Internet of Things Applied in Grain Reception Base
Authors: Mesaros Diana , Duda M. , Moldovan Cristina , Muntean S. 
Published: April 2023

Abstract
The goal of this paper is to present the benefits of digitalization and Internet of Things applied in various fields of industry, including in cereal reception bases. Using Waterfall Methodology, this article widely describes the project plan of a web-based application which has the role of monitorization the grain storage sheds from perspective of temperature, humidity, pressure, and motion. Using microprocessor-based systems and distinct types of sensors such as temperature, humidity, pressure and motion, the information collected from the grain storage hall is displayed on a web-based application so that operators of the base easily can monitor these parameters.
Agile Project Management in Food Industry
Authors: Mesaros Diana , Coroian Aurelia , Longodor Adina Lia , Rusu Teodor 
Published: April 2023

Abstract
The goal of this paper is to be an incipient case study of interdisciplinarity between AGILE SCRUM Methodology and food processing industry. The purposes of interdisciplinarity are profit maximization, productivity increasing and customer satisfaction. This paper starts with a short introduction in theoretical aspects about Agile, including SCRUM framework, emphasizing the applicability of SCRUM Methodology in many fields, including biotechnologies and food processing industry.
Demography and Population Growth in 1970’s Romania: An Overview of Demographic Studies Published in ‘Viitorul Social’ Journal
Authors: Pop Oana 
Published: April 2023

Abstract
This paper looks at how demographic knowledge was articulated in the 1970s in Romania in a context shaped by both a restrictive natalist agenda and the reestablishment of institutional affiliations with western academia. An account is given of the specific institutional affiliations that coordinated and made knowledge transfers possible between French and Romanian agencies. The text then focuses on the specific vocabulary and reasoning mechanisms employed in a series of texts published throughout the 1970s in the sociological journal Viitorul Social, a monthly magazine of socialist doctrine, culture and politics. The aim is to start a discussion about the possibility that the reestablishment of institutional connections with French demographic trends in the early ᾿70s lent Romanian demographers a type of conservative scientific reasoning and vocabulary that was attuned to the natalist politics of the time. In turn, this authorised a highly politicised portrayal of working-class women as culpable for the diminishing birth-rates in Romania. The text ends by suggesting other research paths that might help situate demographic knowledge production and its ties with reproduction politics.
Balancing Efficiency and Personal Time Requirements for Human Resources Professionals after Telecommuting
Authors: Țoiu Andreea 
Published: April 2023

Abstract
The exploitation of work and household responsibilities among women and men remains a pressing issue with significant impacts on employee productivity and satisfaction. This study sheds light on the patterns of exploitation and their consequences, with a specific focus on the experiences of HR professionals. The research emphasizes the prevalence of the “flexibility stigma” in society, which views flexible work arrangements, including teleworking, as less committed, motivated, and productive compared to traditional 9-5 work hours. The study also highlights the tendency for workers to extend their work hours when boundaries between work and personal life become blurred. In particular, the study highlights the increased likelihood of working overtime as a result of teleworking, which can further contribute to the exploitation of work and household responsibilities. For HR professionals, it is essential to understand these challenges and develop strategies that support employees’ work-life balance and well-being. The study concludes by calling for a comprehensive approach that considers the institutional and cultural contexts in which employees operate and that prioritizes their well-being and productivity.
Analysis of Transport Conditions for Frozen Food on the Way from the Shop to Home
Authors: Góral-Kowalczyk Małgorzata , Góral Dariusz , Nakonieczny Piotr 
Published: April 2023

Abstract
The transport of temperature sensitive products takes place under special conditions defined by specific agreements and international standards. The only exception to this rule is consumer transport. This transport is carried out by the consumer and takes place on the way home from the shop. The study examined consumers' awareness of the consumer transport of frozen food and analysed this type of transport in terms of the continuity of the cold chain. Such situation affects the deterioration of frozen food quality especially in case of its later storage in the home freezer. It was found that the average distance that customers cover from shop to home was 4.98 km. They usually used a car and covered this distance in an average of 12.85 minutes. During the summer months, this time is sufficient to partially thaw a package of frozen vegetables. Only 33% of the respondents used insulated bags to protect frozen food on the way home. When analysing the transport of frozen raw material carried out by consumers in real conditions, the use of insulated bags was found to be justified. These bags are able to keep the temperature of the packed raw material below −5°C. It was found that the legal imposition of the necessity to use such bags or the introduction by the manufacturer of frozen food of appropriate packaging protecting the food against transport at inappropriate temperatures in the summer months is necessary.
Ego Vehicle Lane Detection and Key Point Determination Using Deep Convolutional Neural Networks and Inverse Projection Mapping
Authors: Bolimera Anudeepsekhar , Muthalagu Raja , Kalaichelvi V. , Singh Abhilasha 
Published: April 2023

Abstract
Ego lane detection is one of the key techniques in Ego Lane Analysis System (ELAS) implemented in smart autonomous driving cars for lane detection in roads. This technique has been extensively studied in recent years because of its accurate and robust detection of shape and location of lanes. The conventional methods are less robust and computationally expensive since they have several challenges in localization of lanes due to presence of occlusions on roads. So to avoid these issues, this paper uses a novel 2-stage lane detection method using deep convolutional neural network to detect the lanes and its key-points by optimally fit a curve to the lane to compensate on above mentioned issues. The proposed methodology for lane detection predicts the key-points accurately and it robust under various weather conditions and highway driving scenarios. In terms of performance, this technique is fast and robust with low computational cost and has high performance when deployed on autonomous vehicle-based systems.
Fractional Vehicle Ownership and Revenue Generation Through Blockchain Asset Tokenization
Authors: Vitelaru Elena , Persia Luca 
Published: April 2023

Abstract
The automotive industry is on a continuous transition towards a more sustainable and integrated ecosystem influenced by the fast-paced adoption of Electrical Vehicles (EVs) and the developments of emerging technologies such as Automated Vehicles (AVs). The road transportation sector is also experimenting with the emergent decentralized blockchain technology in various ways ranging from supply chain transparency to insurance and tokenization. Some of the recent use cases are the use of Non-Fungible Tokens (NFTs), unique digital assets designed to be immutable, to certify ownership of a vehicle, the data history of it or just for fan base development. The current paper reviews the literature findings concerning the potential of Non-Fungible Tokens for the automotive industry and proposes a new car ownership and revenue generation model using the ERC-1155 token standard. Our proof-of-concept based on fractional vehicle ownership demonstrates the feasibility of such a model that allows for revenue distribution amongst the vehicle owners according to the percentile invested in the vehicle acquisition.
A Microscopic Analysis of the Relationship Between Prior Knowledge About Self-Driving Cars and the Public Acceptance: A Survey in the US
Authors: Othman Kareem 
Published: April 2023

Abstract
Previous studies have shown that the level of awareness of SDVs is a deciding factor that affects the public attitude towards this emerging technology; however, none of these studies focuses on understanding the relationship between these two variables. Thus, this study utilizes a questionnaire survey with the objective of drawing the relationship between the public attitude and level of knowledge. A total of 2447 complete responses were revised from participants from the US. The results show that people with prior knowledge about SDVs are more likely to travel on SDVs. However, participants who know a bit about SDVs were the most likely to travel on SDVs when compared with participants who had no knowledge and participants who know a lot about SDVs. In addition, the analysis shows that the relationship between the level of knowledge and the level of acceptance of SDVs is not linear but rather parabolic.
Classification of the Condition of Pavement with the Use of Machine Learning Methods
Authors: Tomiło Paweł 
Published: April 2023

Abstract
The publication includes a review of information on the methods of pavement condition recognition using various methods. Measurement system has been presented that allows to determine the condition of the pavement using the Inertial Measurement Unit (IMU) and machine learning methods. Three machine learning methods were considered: random forest, gradient boosted tree and custom architecture neural network (roadNet). Due to the developed system the set of learning and validation data was created on 3 vehicles: Opel Corsa, Honda Accord, Volkswagen Passat. All of the listed vehicles have front wheel drive. The presented machine learning methods have been compared with each other. The best accuracy on the validation set was achieved by the artificial neural network (ANN). The study showed that asphalt condition classification is possible and the developed system fulfils its task.
A Model for Identifying Road Risk Class
Authors: Ryguła Artur , Brzozowski Krzysztof , Maczyński Andrzej 
Published: April 2023

Abstract
In many road safety, traffic management, and travel planning analyses, it is useful to classify road sections according to risk level. Such classification is labour-intensive and needs to be reviewed periodically. The authors propose a model for identifying a discrete risk class for road sections based on selected traffic flow parameters, which are available in most measurement systems monitoring current traffic conditions. The Surrogate Safety Measures approach was applied in the model formulated using Principal Components Analysis. As input to the model SSMs are used in the form of a set of hourly average traffic flow parameters. The SSMs used are: the percentage of light vehicles exceeding the speed limit by a value in the range 21 to 30 km/h; the percentage of light vehicles exceeding the speed limit by more than 30 km/h; the traffic volume of light vehicles; the traffic volume of heavy vehicles and the mean speeds of light vehicles and heavy vehicles.
This paper presents results of calculations of risk class obtained from the model for different locations on single-carriageway two-lane roads in Poland. Satisfactory compliance of risk classes designated by the road operator and identified by the model based on current traffic data was achieved. The proposed model can be used as the core of an effective alternative road safety screening method.
SUPERVIVENCIA E INSECTOS PLAGA DE ESPECIES FORESTALES Y FRUTALES EN PUERTO ALMENDRA, REGIÓN LORETO, PERÚ
Authors: PACHECO GÓMEZ Tedi , CÓRDOVA HORNA Segundo , DEL CASTILLO MOZOMBITE Denilson Marcell , RIOS ZUMAETA Richer , CABANILLAS OLIVA Erlin Guillermo , PINEDO JIMÉNEZ Julio , ANGULO RUIZ Pedro , TELLO ESPINOZA Rodil , VÁSQUEZ BARDALES Joel 
Published: April 2023

Se evaluó la supervivencia e insectos plaga de especies forestales y frutales en Puerto Almendra, Loreto, Perú. Se obtuvieron plántulas y estacas de 15 especies forestales y de 04 especies frutales, a partir de poblaciones naturales y huertos familiares; estas fueron instaladas en parcelas de 25 x 25 m, 25 individuos por especie. Las estacas de Spondias purpurea tuvieron mayor supervivencia (84%), Spondias mombin y Spondias dulcis alcanzaron 36% y 24% respectivamente. Las plantas provenientes de semillas botánicas con muy buena supervivencia (80‑100%) fueron Copaifera paupera, Dipteryx odorata, Carapa guianensis, Swietenia macrophylla, Hura crepitans, Chorisia integrifolia, Spondias mombin, Guazuma ulmifolia, Pleurothyrium parviflorum, Amburana cearensis. Con buena supervivencia (60‑79%) se encuentran Cedrelinga cateniformis, Cedrela odorata y Genipa americana. En la categorı́a regular (40‑59%) están Caryodendron orinocense y Calycophyllum spruceanum. En la categorı́a malo (<40%) Calophyllum brasiliense y Aniba rosaeodora. Se revisaron minuciosamente los daños de los insectos en las plantas, 04 plagas fueron registradas: Hypsipyla grandella en S. macrophylla, C. odorata y G. ulmifolia con incidencia de entre 100% y 84%; Parasaissetia nigra tuvo una incidencia de 88% en G. ulmifolia; Apioscelis bulbosa fue encontrada en G. ulmifolia, C. integrifolia, S. purpurea y S. dulcis con incidencias del 80, 56, 8 y 4% respectivamente y Aphis gossypii fue registrada en S. purpurea con 20% de incidencia. Esta investigación proporciona información orientada a la propagación, manejo y conservación de especies forestales y frutales de la Amazonı́a peruana.
Arab society between ideologization and totemism Reasons for the Arab society to fluctuate between ideas and beliefs
Authors: Hussain Farah Dheaa 
Published: April 2023

The concern of the Arab society in its confusion between Ideologicalization any ideas to the State Foundation, and between the Totemism and any beliefs and the role of religions in guiding the policy, how a society suffers from the swing between Ideologicalization and Totemism to master the art of state administration and guidance ??? .
This is a crisis that the Arab society is suffering from. In 1993, in his book "Cultural Invasion or Intellectual Explorations," I describe the value crisis: "We live in our privacy until we begin to bask in our universality. We use the latest tools, but we reject the latest ideas and approaches. , We cling to the bone to the bone at the level of speech and speech, but we come out on them and we really and practice it.
The influence of Syrian Changeable In Russian-Israeli relations
Authors: Mohammed Waleed Hassan 
Published: April 2023

The topic area of that’s research dealing with relations be-tween Russia and Israel which witness many aspects of conflict and cooperation, also they are many changeable which influenced through history, like relation with Syria, two states have many choices especially when treat with region, The situation of Syria impacts upon statue of Russian in re-gion ,so support regime and cooperate with Iran in order to prevent fall of regime.
Israel in contract with Russia try to prevent Iran and Syria from seized Russian support especially at the military arse-nal, which influence passively upon balance of power in region
Alterações eletrocardiográficas nos pacientes portadores da COVID-19
Authors: Vieira Eliano Atanázio , Vilagra Sandra Maria Barroso Werneck 
Published: April 2023

Objetivo: Reconhecer as alterações no eletrocardiograma nos pacientes portadores da COVID-19. Métodos: Trata-se de uma revisão integrativa de literatura em que foi realizado uma busca por trabalhos nas plataformas PubMed, Medline e DOAJ e um total de 25 artigos foram incluídos no trabalho científico após a aplicação dos critérios de inclusão e exclusão. Resultados: Por meio dos estudos realizados foram observados que as principais alterações nos ECG dos enfermos foi a alteração do segmento ST, alargamento do complexo QRS, inversão da onda T, e alargamento do intervalo QTc, essas alterações estão relacionadas com o alto risco de arritmias. Além disso, o processo fisiopatológico está associado com o uso de medicamentos administrados, inflamação do próprio vírus e da resposta exacerbada do organismo na liberação de citocinas. Considerações finais: Em consideração, essas variações eletrocardiográficas são decorrentes da terapia medicamentosa instaurada, excesso de citocinas e inflamação direta do vírus, essas alterações implicam diretamente no prognóstico de cada paciente.
Intervenções cirúrgicas das fístulas anais
Authors: Cabral Fernanda Carolina Bindá , Olivares Alice Vitória Oliveira de , Pereira Ana Clara Verônica , Gouvêa Celine Almeida , Murad Gabriela Abreu , Ribeiro Gabriela Mello Cerqueira , Ramos Sarah Aparecida Moreira , Soares Thaís Helena Veloso , Alves Adrissa Alana Carneiro , Moura Ariany de Assis 
Published: April 2023

Objetivo: Reunir dados acerca das intervenções cirúrgicas realizadas para o tratamento de fístulas anais. Métodos: Revisão integrativa com coleta de dados pela plataforma do PubMed. A partir dessa pesquisa, foram encontrados 170 artigos e selecionados 17 artigos completos. Excluíram-se os artigos que não corroboram com o tema, não tinham veracidade ou não apresentavam dados relevantes para este estudo. Resultados: A abordagem terapêutica para o tratamento de fístulas anais ocorre, em geral, por meio de intervenções cirúrgicas, tendo como objetivo a eliminação do trajeto, prevenção de possíveis doenças e preservação da função esfincteriana. A escolha da melhor técnica cirúrgica dependerá de fatores como complexidade e etiologia da fístula, podendo ser fistulotomia em um ou dois tempos e Vídeo Assistido de Fístula Anal (VAAFT), visto que é um procedimento minimamente invasivo e altamente eficaz para as fístulas anais complexas, apresentando baixa taxa de recidiva. O ultrassom anorretal tridimensional apresentou importância diagnóstica mapeando e quantificando precisamente o comprimento dos músculos, atuando na classificação das fístulas, além de evitar intervenções cirúrgicas desnecessárias, bem como identificando possíveis recorrências após o tratamento. Considerações finais: Considera-se a relevância de uma detalhada investigação etiológica a fim de proceder com a técnica cirúrgica mais eficaz e conservadora.