bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of Scientific Publications on the Study of Population Migration in the Russian Arctic
Authors:   Petrozavodsk State University, Stepus Irina S. , Averyanov Aleksandr O. , Rodion Inna V.
Published: October 2023

The purpose of the article is to conduct a quantitative and qualitative analysis of Russian-language publications on the topic of population migration in the Arctic zone of Russia. The national bibliographic database of scientific citation hosted on the eLIBRARY.RU platform was used as a source of information. The research methodology is based on the use of structural-semantic analysis of texts in combination with general scientific methods (analysis, generalization and systematization). The time period of 20102022 is characterized by an increase in the number of publications on migration issues in the Arctic zone of Russia, which was most clearly manifested during the adoption of Russia’s Arctic strategies. During the period under review, Russian authors prepared about 300 articles on the study of population migration in the Russian Arctic. However, the number of researchers who regularly publish papers on this topic is small. The analysis made it possible to identify an objective list of authors groups (scientific schools) that are leading in terms of the number of publications in this subject area. The main directions of the population migrations study in the Russian Arctic zone are considered according to six key scientific schools, general and special approaches of the authors to the study of Arctic migrations are highlighted. The study results will be useful and interesting to scientists, whose research area is related to population migration, including in the Russiaт Arctic regions; specialists dealing with social issues of the development of the Arctic territories; postgraduates and students involved in this field.
Economic Conjuncture of Arctic Natural Gas in the New Geopolitical Conditions
Authors:   Luzin Institute for Economic Studies, Federal Research Centre “Kola Science Centre of the Russian Acad-emy of Sciences”, Kozmenko Sergey Yu. , Kozmenko Arina S.
Published: October 2023

The special military operation (SMO) organically fits into the logic of the century-long confrontation between Russia and Britain, and later — the USA, known since the late 18th century as the “Great Game”. One of the goals of the SMO on a national scale is not only to restore Russia’s dominance in the Black Sea and the Sea of Azov, but also to counteract the achievement of such a goal by NATO countries. Russia uses various sources of funding the SMO, including oil and gas revenues of the Federal budget. Natural gas, unlike oil, is not under sanctions. There is nothing to compensate for the loss of revenues from the reduction of gas exports to Europe: practically all Russian pipelines (except for the Power of Siberia-1 with a capacity of only 38 billion m3) are oriented to the West; liquefied natural gas from the Yamal LNG and Sakhalin-2 projects is contracted for many years ahead. The EU countries have nothing to compensate for the lost volumes, except coal, but only Russian coal. Europe needs gas, Russia needs currency for the SMO, so it is necessary to find a solution to the problem.
Registro de libélulas (Odonata) predadas por aranhas (Araneae) na Mata Atlântica, no Sul do Brasil
Authors: Gouvêa Taiguara P. , Almeida José A. M. , Shimamoto Carolina Y. , Barbado Norma , Souza Marcos M.
Published: October 2023

Dragonflies are insects that act as predators and prey, both in freshwater and associated terrestrial ecosystems, which makes the understanding of trophic relationships established by these insects important. In this sense, the present study aimed to report the predation of Odonata by Araneae in areas of seasonal semideciduous forest, phytophysiognomy of the Atlantic Forest at the Iguaçu National Park (PARNA Iguaçu), and in the Bela Vista Biological Refuge (RBBV). The records occurred at random in 2021 from December 13 to 21, and in 2022 from January 4 to April 22. Five individuals of three species and two morphospecies of Odonata preyed upon by three morphospecies of spiders were recorded. Predation of Odonata by spiders seems to be frequent in different ecosystems, but further studies are required to understand the impact of this predation on the size of dragonfly communities in the Brazilian Atlantic Forest biome.
LEVANDO A SÉRIO OS PRESSUPOSTOS DA RESPONSABILIDADE PENAL DE PESSOAS JURÍDICAS NO BRASIL
Authors: Estellita Heloisa
Published: October 2023

As pessoas jurídicas não são responsáveis penalmente no direito positivo brasileiro, exceção feita aos crimes previstos na Lei 9.605/98. Foi este instrumento legislativo que, disciplinando o comando da norma constitucional do art. 225, § 3o, CF1, estabeleceu a imposição de pena à pessoa jurídica (adiante, apenas PJ) por crimes cometidos em decorrência de decisões de seus representantes e no seu interesse (art. 3º2), ou seja, instituiu a responsabilidade penal da pessoa jurídica (adiante, apenas RPPJ) entre nós. Se o dispositivo de fato autorizou tal forma de responsabilidade é questão ainda disputada na doutrina,3 todavia há decisão do Supremo Tribunal Federal manifestando-se por sua constitucionalidade (RE 548.181, j. em 2013).
A ÉTICA E A TÉCNICA EM TEMPOS DE ADVOCACIA 4.0
Authors: Tavares da Silva Adriano
Published: October 2023

No presente artigo, analisou-se a questão envolvendo o uso da técnica na advocacia, que resultou na assim chamada advocacia 4.0. Para tanto, foi-se explanada a conjuntura social e econômica que caracteriza o que se costuma chamar de “sociedade da informação”, responsável, em grande parte, pelo avanço da técnica em todos os âmbitos da sociedade moderna. Igualmente, buscou-se verificar o impacto da técnica no tecido social, correlacionando-a com o advento da advocacia 4.0, para, ao fim e ao cabo, tratar de algumas das alterações normativas trazidas pela Ordem dos Advogados do Brasil neste particular. Ao final, verificou-se que a Ordem dos Advogados do Brasil fomentou e alterou seu arcabouço normativo para se adequar a esse novo modelo de advocacia.
SOBERANIA DO ESTADO E A GLOBALIZAÇÃO: EM BUSCA DE UMA GOVERNANÇA GLOBAL AMBIENTAL
Authors: Heil Danielle Mariel
Published: October 2023

Diante das transformações sociais, tecnológicas, econômicas e financeiras ocorridas na última parte do século XX, pós-guerra, a população mundial se encaminha rumo a uma nova Sociedade. Esse contexto reflete diretamente nas relações entre os Estados no âmbito internacional, junto ao fenômeno da Globalização desenfreada, que não obedece a parâmetros éticos e apresenta inúmeros desafios no cotidiano contemporâneo. O presente artigo se propõe a realizar uma reflexão acerca do clássico conceito de Soberania e sua transformação em prol da preservação ambiental global, defendendo a ideia de uma flexibilização do seu atual conceito, essencial para a efetiva garantia do Direito Humano à um meio ambiente ecologicamente equilibrado, através da Governança Global Ambiental.
REFORMA TRIBUTÁRIA:
Authors: Maia Rodrigo Duarte
Published: October 2023

Muito se discute e se fala sobre a tributação excessiva em nosso país, alguns apontando um excesso de tributação sobre as mercadorias e as prestações de serviço, ou então sobre o lucro e a renda. Não se discorda e não é o foco deste artigo adentrar sobre estas questões, o foco aqui é analisar a incidência da tributação sobre o fruto do trabalho.
Neste artigo será analisada a repercussão tributária sobre o produto do trabalho. Para isso será analisada a tributação direta sobre o produto do trabalho (Ex: INSS, IRPF e outros) e também a repercussão tributária indireta sobre o produto do trabalho (Ex: ICMS, PIS/COFINS).
A CRIMINALIZAÇÃO DAS PRERROGATIVAS PROFISSIONAIS DA ADVOCACIA E O DEVER DOS JOVENS ADVOGADOS PARA EVITAR A CONCRETIZAÇÃO DO CARÁTER SIMBÓLICO
Authors: Bento Andrey Lyncon Soares
Published: October 2023

O presente trabalho tratará de realizar uma análise do papel da jovem advocacia nas ações para que um possível caráter simbólico na criminalização das prerrogativas não se concretize, permitindo a garantia da liberdade profissional no exercício do seu múnus público. Como teoria de base, será adotada a teoria garantista, pois o que se pretende é que haja o efetivo cumprimento das normativas constitucionais, bem como daqueles princípios que regem o direito repressivo. Adotar-se-á o método de abordagem dedutivo, pois, a partir de estruturas mais gerais, buscar-se-á abordar aspectos mais específicos, como as prerrogativas que estão protegidas pela criminalização e possíveis atuações para evitar o simbolismo penal.
Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity
Authors: Vishniakou U. A. , Yiwei Xia
Published: October 2023

Objectives. The problem of IT diagnostics of signs of Parkinson's disease is solved by analyzing changes in the voice and slowing down the movement of patients. The urgency of the task is associated with the need for early diagnosis of the disease. A method of complex recognition of Parkinson's disease using machine learning is proposed, based on markers of voice analysis and changes in the patient's movements on known data sets.

Methods. The time-frequency function (the wavelet function) and the Meyer kepstral coefficient function, the KNN algorithm (k-Nearest Neighbors, KNN) and the algorithm of a two-layer neural network are used for training and testing on publicly available datasets on speech changes and motion retardation in Parkinson's disease. A Bayesian optimizer is also used to improve the hyperparameters of the KNN algorithm.

Results. The KNN algorithm was used for speech recognition of patients, the test accuracy of 94.7% was achieved in the diagnosis of Parkinson's disease by voice change. The Bayesian neural network algorithm was applied to recognize the slowing down of the patients' movements, it gave a test accuracy of 96.2% for the diagnosis of Parkinson's disease.

Conclusion. The obtained results of recognition of signs of Parkinson's disease are close to the world level. On the same set of data on speech changes of patients, one of the best indicators of foreign studies is 95.8%. On the same set of data on motion deceleration, one of the best indicators of foreign researchers is 98.8%. The proposed author's technique is intended for use in the subsystem of IT diagnostics of neurological diseases of a Smart city.
Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere
Authors: Kapliarchuk Y. A. , Kozlov S. V. , Savinykh I. E. , Shapkin A. S.
Published: October 2023

Objectives. For a method for estimating the total electron content in the ionosphere based on the retransmission of the L1 GPS navigation signal by a repeater nanosatellite (SR) to the frequencies of 150/400 MHz allocated for geophysical research and their reception at a ground-based receiving point (RP), it is necessary to develop the algorithms for coherent accumulation of received relayed signals and measurement of the difference between their delays at observation intervals up to a few seconds.

Methods. The proposed algorithms provide phase demodulation of the received signals at each of the relay frequencies in accordance with the dynamics of the mutual spatial movement of the navigation satellite (NS), SR and RP; multiplying the result by the estimate of the navigation message combined time delay, generated by the receiver of the direct navigation signal on the NS-RP route, intra-period processing over the entire duration of the observation in a filter matched with the signal of the navigation satellite, and inter-period coherent accumulation of the results of intra-period processing at a single-valued range interval. Coherent accumulation, taking into account a random uncontrolled shift in the frequency of the retransmitted signal, is implemented by discrete Fourier transform of the vectors formed for each resolution element in the delay time from inter-period readings of the results of intra-period processing, taking into account the range migration during the mutual movement of the NS, SR and RP.

Results. It is shown that by the output signal of the coherent accumulator makes it is possible to detect retransmitted signals at each of the retransmission frequencies, to measure accurately the difference in delay times, and estimate the total electron content on the SR-RP path. The results of modeling are presented, confirming the efficiency of the proposed algorithms in estimating the total electron content on the SR-RP route.

Conclusion. An algorithm for coherent accumulation of received retransmitted signals and measurement of the difference between their delays is developed, and its simulation is performed. The algorithm can be used for estimating TEC based on the retransmission of signals from GPS.
Lupus Eritematoso Sistémico en Paciente Masculino de 48 Años con Antecedentes Patológicos de Importancia. Reporte de Caso
Authors: Reinoso Martínez Lizbeth Alejandra , Espinosa de los Monteros Garrido Francis Jossue , Valle Pinargote María Janeth , Valle Pinargote José Domingo , Reyes Saa Byron Alexander
Published: October 2023

El Lupus eritematoso sistémico es una enfermedad autoinmunitaria multisistémica, con gran variabilidad en su manifestación y curso. Se manifiesta con síntomas constitucionales, como fiebre, pérdida de peso, fatiga, pérdida de cabello y evidencia de inflamación difusa, como linfadenopatía y hepatoesplenomegalia. La afección en la piel, en el sistema musculoesquelético y en el renal es común, pero también puede afectar al miocardio y al aparato gastrointestinal. La etiología no está totalmente aclarada; sin embargo, se sabe que existe una producción variable de autoanticuerpos que, unida a factores genéticos y ambientales, puede estar implicada en su patogenia. Se Reporta el caso de un paciente masculino de 48 años con antecedentes de importancia, que acude a consulta por presentar desde hace 1 meses dolor articular en falanges proximales y distales, 5/10 en la escala de EVA, tipo inflamatorio, sin irradiación, se atenúa con los movimientos y con rigidez de predominio matutino; concomitantemente desde hace 48 horas presenta alza térmica no cuantificada; además, presenta aftas de tipo macular, eritematosas, no dolorosas, largas de 3-4 mm y desde hace aproximadamente 24 horas refiere vómito de contenido líquido por dos ocasiones, lo que dificulta la ingesta de alimentos.
Caducidad de la Prisión Preventiva por Causas Atribuibles al Juzgador
Authors: Córdova Jiménez Cristopher Josué , Ruiz Loaiza Ana Lucía
Published: October 2023

La presente investigación científica se encuentra sostenida sobre los efectos que produce la caducidad de la prisión preventiva en el marco procesal, legal y social del estado ecuatoriano, el objetivo de este trabajo estriba en analizar los efectos de la caducidad de la prisión preventiva por causas atribuibles a la administración de justicia a través de una investigación eminentemente cualitativa con el fin de contribuir al debate respecto de sus consecuencias jurídicas. Asímismo, se analizó por medio del método bibliográfico la institución jurídica de la prisión preventiva y además se estableció el alcance de las garantías y derechos constitucionales frente a casos de la caducidad de la prisión preventiva. Finalmente se concluyó que la caducidad de la prisión preventiva es un medio por el cual el procesado reclama su derecho a la libertad y obtiene el respeto del mismo, y por último se analizaron casos judiciales en los cuales se declaró la caducidad de la prisión preventiva llegando a plantear una posible solución frente a estas circunstancias.
La Evolución de las Competencias Tecnológicas en el Campo de la Traducción Profesional
Authors: Asencio Brito Jessica Steffi , Morales Vázquez Eleazar , Córdova Palomeque Nelly del Carmen
Published: October 2023

Las competencias que se requieren para ser un traductor profesional han cambiado a lo largo del tiempo. Este cambio constante ha sido principalmente debido a la evolución tecnológica. Así, los avances científicos han permitido que el desarrollo tecnológico pueda ser aplicado en distintas disciplinas con el fin de optimizar las labores de cada profesión. Y, en el caso de la traducción profesional, esta optimización forma parte del ideal que se busca como traductor en la actualidad. Esto es, tener la capacidad de ejercer su profesión y resolver situaciones de forma práctica y eficiente, logrando un resultado de calidad. Es por esta razón que en este artículo se presenta una revisión de literatura realizada en torno a las investigaciones elaboradas sobre las competencias tecnológicas del traductor profesional y su evolución a través de la década anterior y hasta la actualidad.
Reliable and Secure Data Transfer in IoT Networks using Knight-Tour and PHLSB Method
Authors: V. Anjana Devi  , I. Bhuvaneshwarri  , C. Santhosh Kumar  , Vidhya Gopal  , V. Kalaichelvi  , E. Anitha  , Jogendra Kumar
Published: October 2023

Data security has recently become the most pressing problem for corporate owners and even regular people due to the continual development in the speed of data transmission over the entire Internet, and stricter regulations have been made for data protection. Secure key management is now essential for securing information exchange due to the Internet of Things (IoT) and the rapidly advancing mobile device technologies. Smart home and healthcare IoT apps, for instance, offer automated services to users with little user involvement. Data transmission delays and intrusions can affect existing security solutions that use a single link. In this paper, we propose a novel distributed key management scheme for IoT ecosystem. The methods Knight-Tour and polynomial-based hash least significant bit (PHLSB) that take use of flaws in the human visual system (HVS) are combined to form a hybrid approach to image steganography in this research. The Knight's trip path is a chess board layout that follows the route of a horse without stopping at any of the nodes again. In order to create the scrambled image, this travel path pattern is employed to permute the original image's pixel positions. Prior to being masked behind a cover image, this technique makes sure the communication has been encrypted. A strong mathematical tool is a polynomial equation. The cover object's data was hidden using these equations as a secret key. The suggested solution efficiently secures IoT devices by assigning the resource-intensive encryption processing to local organisations. As a result of the proposed framework's simulation findings, network lifetime PDR (Packet Drop Ratio) has improved, throughput has increased, energy consumption has decreased, and latency has decreased.
Detection and Segmentation of Meningioma Tumors Using the Proposed MENCNN Model
Authors: John Nisha Anita  , Sujatha Kumaran
Published: October 2023

This paper develops a Meningioma Detection and Segmentation System (MDSS) using the proposed Meningioma Convolutional Neural Network (MENCNN) classifier. The main objective of this paper is to detect and locate the meningioma brain tumors using the proposed deep learning structure and segmentation algorithm. This proposed MDSS is designed with preprocessing of meningioma and healthy brain MRI images, feature computations and feature classification through the proposed MENCNN classifier and Meningioma Segmentation Algorithm. The noises in both meningioma and healthy brain images are removed using Mean Adaptive Filter (MAF) and the meningioma features are computed from the noise removed image. These meningioma features are classified by the proposed MENCNN classifier in order to obtain the classification results as either meningioma or healthy brain image. Finally, Meningioma Segmentation Algorithm (MSA) is proposed in this research work to segment the pixels belonging to the meningioma region. The proposed MDSS approach obtains 96.46% MSI, 97.75% MSR and 97.6% MSA on the set of meningioma images in Nanfang dataset. The proposed MDSS approach obtains 97.76% MSI, 98.03% MSR and 97.81% MSA on the set of meningioma images in Kaggle dataset.
Is Universitas Pendidikan Indonesia Ready for Internationalization? A Bibliometric Analysis in The Science and Technology-Related Publications
Authors: Asep Bayu Dani Nandiyanto  , Dwi Novia Al Husaeni  , Dwi Fitria Al Husaeni  , Ida Hamidah  , Bunyamin Maftuh  , M. Solehuddin
Published: October 2023

This study aims to analyze the publication data of Universitas Pendidikan Indonesia (UPI) and find out whether UPI is ready for internationalization. UPI is the best university in education in Indonesia, managed at a rank of 1200-1400 in the 2024 QS World University Ranking, ranked 17th in Indonesia, and ranked 16th in Scopus. Using the bibliometric analysis method from the Scopus database, a total of 6114 publications from 2002 to 2023 were found fluctuatively, but the average increased every year. UPI research experienced a significantly increasing number of publications from 2014 to 2019. Most research occurred in 2019 with 1103 articles. Conference proceedings and journals are the most widely published types of publications by UPI. Physics and Astronomy is the highest number for the subject area of UPI publication, reaching 22.70% of the total publication, followed by social science and Engineering. UPI has collaborated with more than 22 countries in the world in publication, informing its internationalization. The societal impact of UPI from the publication can be confirmed by its excellent number of citations, in which the best paper has been cited more than 700 times, and more than 10 papers are cited more than 100 times. This study demonstrates how far UPI can prepare itself for internationalization, in particular becoming a reference for other researchers in the world in discussing advanced research, especially in education.
Impact of Circuit Power on the Energy Efficiency of Massive Multiple-Input Multiple-Output (MIMO) Cellular Systems
Authors: Fredelino A. Galleto Jr.  , Aaron Don Africa  , Lawrence Materum
Published: October 2023

Massive multiple-input multiple-output (MIMO) systems are designed to increase data capacity systems. However, there are growing social and economic concerns in developing these communication technologies. Energy efficient systems are desirable for these systems considering the costs and minimizing resources. Thus, the optimization of these approaches is significant in the advancement of green communication. This paper converges on the circuit power in modelling massive MIMO systems. Specifically, to apply various power consumption of the transceiver chains, to determine the desired power of the base station value for maximum energy efficiency, and to define the effects of a realistic circuit power consumption model in Massive MIMO systems. Mathematical models were developed, and the corresponding codes were simulated using MATLAB. Different processing schemes were also studied, namely, maximum ratio transmission/maximum ratio combining, and zero forcing for the perfect and imperfect single-cells scenario. In contrast, multiple cells consider different re-use factors. As observed, a low power wattage consumption of transceiver chains and base stations is desired to produce a more remarkable relative change in energy efficiency. Local oscillators' power usage is also recommended to be low wattage. Low-power systems utilize low energy consumption but not disregarding higher energy efficiency. Other factors in data throughput – bandwidth, transmit power, noise power spectral density, and path loss, can be studied to optimize energy-efficient massive MIMO systems.
Enhancement Cascaded Least Square of RLS and NLMS for Wireless Communication System
Authors: Siti Maisurah Sulong  , Azlina Idris  , Darmawaty Mohd Ali  , Noorazlina Mohamid Salih
Published: October 2023

Orthogonal Frequency Division Multiplexing or known as OFDM has been a prominent digital communication scheme and was introduced in the 4G network. This technique can be described as an exceptional multicarrier instance where the signal data is transmitted using separate subcarriers through a total of the subcarriers at a lower rate. Although OFDM seems perfect for the development of 5G networks and upcoming 6G, this type of digital modulation still suffers from intersymbol interference (ISI). Enhancement Cascaded Least Square (ECLS) which is a sequence of adaptive algorithms has been proposed in this research to overcome ISI that occurs due to multipath propagation. ECLS is a combination of updated Recursive Least Square (URLS) and Normalized Least Mean Square (NLMS). URLS will reduce complexity while NLMS will overcome problem of convergence before being combined to become ECLS. The research outcome will be illustrated in Bit error rate (BER) to analyse lower interference and Mean Square Error (MSE) to analyse convergence. This research justified that ECLS can minimize the existence of interference in wireless communication systems.
The Implementation of Transfer Learning by Convolution Neural Network (CNN) for Recognizing Facial Emotions
Authors: Anbananthan Pillai Munanday  , Norazlianie Sazali  , Arjun Asogan  , Devarajan Ramasamy  , Ahmad Shahir Jamaludin
Published: October 2023

The primary objective of this study is to develop a real-time system that can predict the emotional states of an individual who commonly undergoes various experiences. The primary methodology suggested in this research for detecting facial expressions involves the integration of transfer learning techniques that incorporate convolutional neural networks (CNNs), along with a parameterization approach that minimizes the number of parameters. The FER-2013, JAFFE, and CK+ datasets were jointly used to train the CNN architecture for real-time detection, which broadened the range of emotional expressions that may be recognized. The proposed model has the capability to identify various emotions, including but not limited to happiness, fear, surprise, anger, contempt, sadness, and neutrality. Several methods were employed to assess the efficacy of the model's performance in this study. The experimental results indicate that the proposed approach surpasses previous studies in terms of both speed and accuracy.
Investigating Factors Affecting Solar Photovoltaic (PV) Adoption among Malaysian SMEs
Authors: Haslinda Hassan  , Hafizah Mohamad Hsbollah  , Rosli Mohamad
Published: October 2023

This study investigates the factors affecting solar PV adoption among Malaysian small and medium-sized enterprises (SMEs), focusing specifically on manufacturing. The study employed Technology-Organisational-Environmental (TOE) model as a research framework. The study hypothesised that owners’/managers’ technology readiness (innovativeness and optimism), relative advantage, organisational readiness, and government support play a significant role in the adoption of solar PV. Data were gathered from 69 manufacturing SMEs and analysed using Partial Least Squares (PLS) Structural Equation Modelling (SEM). The findings demonstrate a significant influence of owner’s/managers’ technology readiness (innovativeness and optimism) and relative advantage on a firm’s adoption of solar PV. Meanwhile, organisational readiness and government support were not significant predictors of the adoption. The study’s findings can be helpful to policymakers (e.g., the government) and solar authority bodies [e.g., Sustainable Energy Development Authority (SEDA)] in Malaysia to design effective strategies, programs, and incentives to promote solar PV adoption in the manufacturing sector. The study further suggests that the efforts to promote greater adoption of solar PV among firms should be capitalised on its perceived benefits. In short, consistent with the government initiative to promote a more sustainable environment using renewable energy sources such as solar PV, this study offers an insightful perspective to understand the acceptance of this renewable energy solution among the industry players, specifically the SME sector.
Distributed Denial-of-Service (DDoS) Attack Detection using 1D Convolution Neural Network (CNN) and Decision Tree Model
Authors: Bhargavi Goparaju  , Bandla Sreenivasa Rao
Published: October 2023

The major problem of internet security is a Distributed Denial-of-Service (DDoS) attack, which can’t be detected easily. This attack is said to have occurred when lots of service requests are simultaneously received at a server on the internet. This makes the server too busy to provide normal services for others. The Distributed Denial of Service (DDoS) attacks nature on large networks on the Internet demanding to develop the effective detection and response methods. The deployment of these technique should perform not only at the network core but also at the edge. A DDoS attack detection framework is presented based on transfer learning model consisting of 1D Convolution Neural Network (CNN) and decision tree classifier. The 1D CNN model utilizes for features extraction from the input network traffic data. This operation also reduces the dimension of the data thereby removing the redundancy in the data. These features are given to the decision tree model for classification. The proposed framework identified the DDoS attacks with good accuracy. This system could identify attacks in real-time and provide network security.
Computed Tomography Image Analysis on COVID-19 Cases using Machine Learning Approaches
Authors: Jasmine Wang Thye Wei  , Hang See Pheng  , Ong Kok Haur
Published: October 2023

Coronavirus disease (COVID-19) has become a serious worldwide health concern affecting the respiratory system since December 2019. Computed Tomography (CT) image analysis and identification are powerful tools for diagnosing COVID-19. However, due to the disparity of the distribution and form of COVID-19 infection and the diverse degrees of infection severity, the classification of the CT images is challenging, especially manually. Therefore, this study aims to employ artificial intelligence techniques, including machine learning and deep learning algorithms, to classify COVID-19 from CT images. The grey-level co-occurrence matrix (GLCM) features were computed and fed into machine learning classifiers, namely Support Vector Machine, Random Forest, K-Nearest Neighbour, Logistic Regression, and Naïve Bayes model for training purposes. Deep learning models, including ResNet50, Densenet121, Inception, and VGG16, were trained using raw data scaled and transformed to greyscale mode. The performances of machine learning and deep learning models were assessed on the testing data. Random Forests, ResNet50, and DenseNet121 outperform all the other models by achieving 100% accuracy, precision, sensitivity, and specificity on the dataset applied. The performance of machine learning models can be further improved by obtaining the optimised parameters in future research.
Bibliometric Computational Mapping Analysis of Trend Metaverse in Education using VOSviewer
Authors: M. Muktiarni  , Nur Indri Rahayu  , Affero Ismail  , Amalia Kusuma Wardani
Published: October 2023

This study aims to present a bibliometric analysis of the topic of trend metaverse in education published in the Google Scholar database. The data used in this study totalled 995 published articles from 2013 to 2023. This study used reference management software, namely Publish or Perish for data collection, Microsoft Excel for data analysis, and VOSviewer for data visualization. The results show that Metaverse in Education research has increased from 2013 to 2023. In 2023 the number of Metaverse in Education studies has decreased by 78 publications from the previous year 2021 The results of bibliometric data mapping found 81 relevant items based on co-words and 6 items based on co-authorship. Each item is divided into 5 clusters (based on co-words) and 2 clusters (based on co-authorship). International Journal of Metaverse in Education is a journal that publishes many publications on keywords. It is hoped that the findings of this study can become a reference and provide direction for future researchers with similar themes, for example, the link between Metaverse in Education and digitalization in education.
College youth and cyberbullying: before and during the Covid 19 pandemic
Authors: Morales Reynoso Tania , Mendoza González Brenda , Serrano Barquín Carolina
Published: October 2023

Cyberbullying or cyberbullying has increased considerably since the massive use of social networks, among other reasons due to confinement. The purpose of this research is to know if there are significant differences or similarities in students involved in cyberbullying episodes in roles of perpetuation and victimization before and during the COVID19 pandemic during the years of 2019 and 2020 from gender. Two hundred students (57% female and 43% male) participated. Within the methodology, a Cyberbullying Questionnaire, (CBQ) was used, which measures participation in cyberbullying, in two of the roles (bully and victimized). The statistical procedure was to calculate the medians of each sample and compare them using the Mann-Witney U test. The results showed that there is no significant increase since only in two items of the sexting factor (bullying role) and another item of the incendiary provocation factor (victimization role), there was a significant difference between the two samples applied, concluding and providing information on the increase of cyberbullying.
СОЦИАЛЬНЫЙ ИНТЕЛЛЕКТ И КРЕАТИВНОСТЬ: МОДЕЛИ И КОНЦЕПЦИИ
Authors: Sherbakov S. V.
Published: October 2023

В статье дается определение и описывается структура социального интеллекта по Дж. Гилфорду, описывается ряд методик диагностики этого феномена. Констатируется тесная связь социального интеллекта и социальной креативности. Выдвигается предположение о том, что методы диагностики социальной креативности дают возможность к изучению социального интеллекта как процесса конструктивного познания.
ПРАКТИКА ДИАЛОГА ДЕТЕЙ И ВЗРОСЛЫХ В ДОШКОЛЬНЫХ ГРУППАХ СЕМЕЙНОЙ ЛОГОПСИХОТЕРАПИИ
Authors: Kruglikova A. Yu. , Morozenko E. Yu.
Published: October 2023

Предметом изучения в статье является анализ практики диалога детей и взрослых в дошкольных группах семейной логопсихотерапии. Роль диалога рассмотрена сквозь призму научно-теоретических и методологических оснований системы по восстановлению нарушенного речевого общения у детей, подростков и взрослых, разработанной научной школой Ю. Б. Некрасовой – Н. Л. Карповой. Проанализированы особенности диалога на разных этапах реализации семейной групповой логопсихотерапии для дошкольников в условиях детского сада. Представлены формы, методы и технологии, способствующие организации диалога педагогов с детьми, родителями. Установлено, что их использование в соответствии с задачами каждого этапа работы обеспечивает положительную динамику речевых и личностных изменений у детей и родителей в процессе достижения полноценного речевого общения.
ОБЩЕНИЕ В СОЦИАЛЬНЫХ СЕТЯХ И ЭГОТИЗМ У СТУДЕНТОВ КОЛЛЕДЖА
Authors: Pashukova T. I. , Lozhnikova O. M.
Published: October 2023

В статье представлены результаты исследования общения и эготизма в социальных сетях у студентов колледжа. Показываются особенности Интернет-коммуникации. Приводятся результаты анкетного опроса о предпочитаемых студентами социальных сетях, а также о частоте и времени их использования. Подтверждается мнение о том, что эгоцентризм и эготизм могут быть зафиксирован в публикациях, предназначенных для социальных сетей. Установлено, что студенты с высоким уровнем эгоцентризма менее склонны выкладывать посты в социальных сетях, чем студенты со средним и низким уровнями эгоцентризма.
ОРГАНИЗАЦИЯ ИНОЯЗЫЧНОЙ СРЕДЫ КАДЕТОВ В ЭПОХУ ЦИФРОВИЗАЦИИ
Authors: Yushkina I. V.
Published: October 2023

Потребность кадетов в овладении цифровыми компетенциями обусловлена цифровым преобразованием сфер общественной жизни. Поскольку современные ИКТ содержат множество образовательных ресурсов, позволяющих более наглядно изучать иностранные языки, педагогам необходимо умело проектировать и организовывать для кадетов актуальное образовательное пространство, усиливающее качество формирования компетенций устной и письменной речи на иностранном языке в профессиональном контексте.
ЭТНОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ КАРЬЕРНЫХ ОРИЕНТАЦИЙ ГОССЛУЖАЩИХ
Authors: Dmitrieva L. G. , Akhmedshina A. N. , Shafigullina R. R.
Published: October 2023

В статье анализируются этнокультурные особенности карьерных ориентаций управленцев разных национальностей, проживающих в регионах нашей страны. Нас интересует влияние этнических факторов на картерные ориентации и профессиональную деятельность управленцев. Предполагаемые различия в карьерных ориентациях управленцев в зависимости от типа культуры и региона проживания, позволит нам выделить их этнокультурные и региональные предпочтения.
Characterization of Textile Dyeing Effluent and Removal Efficiency Assessment of Al2(SO4)3 Coagulant
Authors: Sayed Md. Abu , Mostaf M.G.
Published: October 2023

The textile dyeing industry discharges a variety of effluents into nearby surface water bodies, which pose a threat to the environment. The study aimed to characterize the effluents and evaluate the coagulant efficiency of Al2(SO4)3 for the treatment of textile effluent. This investigation deals with studying the parameters affecting coagulation-flocculation (C-F) behavior, such as coagulant dose, reaction time, pH, and temperature, using a jar test apparatus. The analyzed parameters before and after treatment are pH, dissolved oxygen (DO), electrical conductivity (EC), total suspended solids (TSS), total dissolved solids (TDS), chemical oxygen demand (COD), biological oxygen demand (BOD), and some anions. The analysis results showed that the textile dyeing effluent was highly alkaline, and parameters like EC, TSS, TDS, COD, BOD, and some anions were found to be higher than the DoE-BD standard guidelines for effluent discharge, indicating that the effluents are loaded with high amounts of organic and inorganic pollutants. The study optimized the process parameters of the coagulation The study optimized the process parameters of the coagulation, which illustrated that the Al2(SO4)3 coagulant potentially reduced pH, EC, TDS, TSS, BOD, and COD from the effluents. The study observed that the highest removal of COD and BOD was 66% and 74% for the samples Ef2 and Ef3, respectively. The highest TSS removal rate was around 90% for Ef3, and almost 80% TDS removal was achieved for all effluents. The results indicated that Al2(SO4)3 showed a better coagulant efficiency for reducing the concentration of several physicochemical parameters in wastewater, and the treated effluent satisfied the DoE-BD standards for discharging wastewater into the public sewage network. Hence, Al2(SO4)3 would be a potential coagulant for treating the textile effluents that help to build a sustainable environment.
Multimessenger Diagnostics of the Engine behind Core-collapse Supernovae
Authors: Fryer Christopher L. , Burns Eric , Hungerford Aimee , Safi-Harb Samar , Wollaeger R. T. , Miller Richard S. , Negro Michela , Anandagoda Samalka , Hartmann Dieter H.
Published: October 2023

Core-collapse supernova explosions play a wide role in astrophysics by producing compact remnants (neutron stars or black holes) and the synthesis and injection of many heavy elements into their host galaxy. Because they are produced in some of the most extreme conditions in the universe, they can also probe physics in extreme conditions (matter at nuclear densities and extreme temperatures and magnetic fields). To quantify the impact of supernovae on both fundamental physics and our understanding of the universe, we must leverage a broad set of observables of this engine. In this paper, we study a subset of these probes using a suite of one-dimensional, parameterized mixing models: ejecta remnants from supernovae, ultraviolet, optical and infrared light curves, and transient gamma-ray emission. We review the other diagnostics and show how the different probes tie together to provide a more clear picture of the supernova engine. Join us in improving and evolving this document through active community engagement. Instructions are provided at this link: https://github.com/clfryer/MM-SNe.
Resonant Excitation of Planetary Eccentricity due to a Dispersing Eccentric Protoplanetary Disk: A New Mechanism of Generating Large Planetary Eccentricities
Authors: Li Jiaru , Lai Dong
Published: October 2023

We present a new mechanism of generating large planetary eccentricities. This mechanism applies to planets within the inner cavities of their companion protoplanetary disks. A massive disk with an inner truncation may become eccentric due to nonadiabatic effects associated with gas cooling and can retain its eccentricity in long-lived coherently precessing eccentric modes; as the disk disperses, the inner planet will encounter a secular resonance with the eccentric disk when the planet and the disk have the same apsidal precession rates; the eccentricity of the planet is then excited to a large value as the system goes through the resonance. In this work, we solve the eccentric modes of a model disk for a wide range of masses. We then adopt an approximate secular dynamics model to calculate the long-term evolution of the “planet + dispersing disk” system. The planet attains a large eccentricity (between 0.1 and 0.6) in our calculations even though the disk eccentricity is quite small (≲0.05). This eccentricity excitation can be understood in terms of the mode conversion (“avoided crossing” between two eigenstates) phenomenon associated with the evolution of the “planet + disk” eccentricity eigenstates.
Interaction of Inner Heliosheath Ions with Electromagnetic Ion Cyclotron Waves
Authors: Lee Dae-Young , Noh Sung-Jun
Published: October 2023

Inner heliosheath (IHS) ions are expected to be exposed to various waves, shocks, and turbulence, which can affect ion distributions and thus their charge-exchange rates with interstellar neutral atoms. This work addresses the potential significance of electromagnetic ion cyclotron (EMIC) waves under expected IHS conditions. From a kinetic dispersion relation, we find the possibility of frequent triggering of EMIC instability in the IHS. The threshold anisotropy of proton temperatures required for the instability is small, (T
⊥–T
∣∣)/T
∣∣ ≈ 0.1 or less, mainly due to high plasma β (ratio of the plasma to magnetic pressures). Numerical calculations on the scattering of ions (protons, He+, and He2+ with energy of 0.01–50 keV) based on two models for EMIC waves with a moderate intensity indicate significant scattering in the pitch angle (mostly a few tens of degrees) and energy (mostly a few tens of percent) although details depend on the energy and pitch angle of each species and adopted EMIC wave models. This occurs on a short timescale (<100 times the gyro-period of each ion species). Resonant scattering in a few to a few tens of keV (corresponding to the expected pickup ion energy in the IHS) is easily expected unless the wavenumber is too large. The scattering effect is distinguished among different species such that for lower gyrofrequency ions (He+ versus He2+and He2+ versus protons), the main scattering effect moves toward a lower energy domain. All these results imply continuous disturbance of ion distributions by possibly prevailing EMIC waves in the IHS.
Phylogeny and species delimitations in the economically, medically, and ecologically important genus Samsoniella (Cordycipitaceae, Hypocreales)
Authors: Wang Yao , Wang Zhi-Qin , Thanarut Chinnapan , Dao Van-Minh , Wang Yuan-Bing , Yu Hong
Published: October 2023

Samsoniella is a ubiquitous genus of cosmopolitan arthropod-pathogenic fungi in the family Cordycipitaceae. The fungi have economic, medicinal, and ecological importance. Prior taxonomic studies of these fungi relied predominantly on phylogenetic inferences from five loci, namely, the nuclear ribosomal small and large subunits (nr SSU and nr LSU), the 3’ portion of translation elongation factor 1 alpha (3P_TEF), and RNA polymerase II subunits 1 and 2 (RPB1 and RPB2). Despite many new species being described, not all of the recognized species inside this group formed well-supported clades. Thus, the search for new markers appropriate for molecular phylogenetic analysis of Samsoniella remains a challenging problem. In our study, we selected the internal transcribed spacer regions of the rDNA (ITS rDNA) and seven gene regions, namely, 3P_TEF, the 5’ portion of translation elongation factor 1 alpha (5P_TEF), RPB1, RPB2, γ-actin (ACT), β-tubulin (TUB), and a gene encoding a minichromosome maintenance protein (MCM7), as candidate markers for species identification. Genetic divergence comparisons showed that the ITS, RPB2, ACT, and TUB sequences provided little valuable information with which to separate Samsoniella spp. In contrast, sequence data for 3P_TEF, 5P_TEF, RPB1, and MCM7 provided good resolution of Samsoniella species. The phylogenetic tree inferred from combined data (5P_TEF + 3P_TEF + RPB1 + MCM7) showed well-supported clades for Samsoniella and allowed for the delimitation of 26 species in this genus. The other two species (S. formicae and S. lepidopterorum) were not evaluated, as they had abundant missing data.
A new species of Boulenophrys from central Hunan Province, China (Anura: Megophryidae)
Authors: Qian Tianyu , Hu Ke , Mo Xiaoyang , Gao Zhiwei , Zhang Na , Yang Daode
Published: October 2023

Abstract

We re-examined the megophryinid population from Mt. Hengshan, Hunan Province, China previously identified as Boulenophrys brachykolos (under the name Megophrys brachykolos). Based on newly obtained molecular data, this population appears to be an independent lineage with a relatively distant phylogenetic relationship to B. brachykolos sensu stricto. Furthermore, this population exhibits distinct morphological characteristics that distinguish it from all its congeners. Therefore, we propose to recognize the Hengshan population of B. brachykolos as a new species, Boulenophrys hengshanensissp. nov. described herein.
Régime « soupe aux choux », BLM et adiposité. Pratiques corporelles dans Lügen über meine Mutter (2022) de Daniela Dröscher : entre reconnaissance et contestation
Authors: Meinen Iris , Chamayou-Kuhn Cécile
Published: October 2023

Le roman de Daniela Dröscher, Lügen über meine Mutter (2022), raconte l’histoire d’une famille qui s’installe dans un petit village après la naissance de leur premier enfant. Le père aspire à une ascension professionnelle et sociale, tandis que la mère, qui abandonne presque complètement son travail après la naissance du deuxième enfant, subvient aux besoins de la famille. Le thème central du roman est le corps de la mère. La mère d’Ela, selon le jugement sans équivoque du père, est « trop grosse ». Le père est le représentant d’un idéal de corps et de beauté qui définit la minceur du corps féminin comme idéal. La figure maternelle doit correspondre à cet idéal et contribuer ainsi à asseoir son rang social. Dröscher présente de nombreuses pratiques corporelles issues du discours contemporain visant la réalisation de cet idéal de beauté, et qui, dans la perspective évoquée plus haut, peuvent être lues comme des pratiques d’optimisation de soi. La mère ne se soumet qu’à contrecœur et avec un succès variable à cette forme d’auto-optimisation imposée de l’extérieur. Elle parviendra en définitive à se soustraire au contrôle (du corps) exercé par son mari et, par conséquent, à l’idéal corporel qui lui est imposé. L’article démontre comment Dröscher, en associant l’espace et le poids, dépeint un corps qui, par son extension spatiale, acquiert de plus en plus de pouvoir sur lui-même.