bluuebunny/crossref_metadata_2025 huggingface dataset:
Prenatal and Postnatal Diagnosis of Intrauterine Ovarian Torsion
Authors: Sibirskaya Elena V. , Karachentsova Irina V. , Minazhetdinova Alsu R. , Chernysheva Mariya Yu. , Khairullina Adelina A.
Published: July 2023

Intrauterine ovarian torsion is the most common complication of ovarian cysts in fetuses. This pathology is asymptomatic in the postnatal period, thus, it is difficult to diagnose especially in cases then torsion signs were not revealed before birth. This review presents the criteria used in pre- and postnatal diagnosis of ovarian torsion. The main ultrasound markers were identified, as well as the possibilities of using MRI were considered. Timely diagnosis of this pathology in prenatal period contributes to more careful examination of the child after birth. This will determine the management tactics, preserve girl's reproductive function, and avoid any complications from other organs and systems.
Media elektroniczne w warunkach zagrożeń bezpieczeństwa i porządku publicznego
Authors:   Akademia Obrony Narodowej, Chałubińska-Jentkiewicz Katarzyna
Published: July 2023

The continuous development of technology actually does not allow for the creation of a uniform definition of the media, but the redefinition of the notion of media is necessary. The broadcasters – institutions that have played an essential role have lost their importance as a major player in the media market. They take the position of content providers, and the media users (the auditorium, as widely defined today) and they also do not limit their position to the role of the consumers of the content. Through the availability of various materials, the recipients do not have to be limited now to one broadcaster who can affect the perception of the problem or event. This change was caused by the opportunity of the interaction between the broadcaster and the user. The recipient does not feel just a passive listener, but can actively participate in the creation of media content and thereby substantially influence the content transmission. This issue is important in the situation where the media are required for specific actions, eg. in case of threats and emergencies. The question which arises here is what kinds of media should fullfil such obligations and to what extent you can limit the freedoms and fundamental rights of individuals in the area of communication.
How civil engineers can help the UK deliver a resilient, net-zero-emissions energy system
Authors: Dawson Richard
Published: July 2023

UK’s Climate Change Committee says a resilient, net-zero-emissions power system can be built by 2035 to meet national sustainability targets, but not at the current pace of delivery. Committee member Richard Dawson says civil engineers have a crucial role to play in meeting the challenge.
Die Sprache der Anderen. Sprachphilosophische Gedankenexperimente in China Miévilles Embassytown
Authors: Birk Elisabeth
Published: July 2023

China Miéville’s Embassytown is a political science fiction novel about a remote planetary colony that is home to both humans and aliens – and about their initial failure to communicate. But Embassytown is also a novel both about language and linguistics. A central element of the plot is the language of the aliens: They speak simultaneously with two mouths and, at the beginning of the novel, they are unable to lie or use metaphors. Communication with their human neighbours is almost impossible, only ›Ambasssadors‹, pairs of clones specifically raised for the task, succeed in speaking the alien language. Over the course of the novel a violent language-induced crisis disrupts the colony’s social order and changes the alien language, so that communication with ordinary humans becomes possible. The paper shows how Miéville uses the plot and worldbuilding of Embassytown to reference specific theories about language, from Hegel to Ogden/Richards’ semiotic triangle. The text sets up a kind of thought experiment to disprove certain linguistic conceptions and uses different narrative strategies to illustrate, test and elucidate others. Embassytown merges narrative and theoretical modes of writing to address a number of linguistic and philosophical subjects such as metaphor and truth, language and religion, and voice and identity. In this way, the novel blends theory and narration to form a kind of ›narrative experiment‹.
The Scope for Greater Alignment between the Council of Europe and the European Union in Sport through the Saint-Denis Convention
Authors: Byrne Seamus , Lee Ludvigsen Jan Andre
Published: July 2023

The intersections of security, safety, and wider human rights concerns have long accompanied the hosting of global sport mega-events. This was highlighted in clear unmistakeable terms following the chaotic scenes which came to characterise the Champions League Football Final in Paris, 2022. Against this wider context, this intervention paper argues for greater legal and regulatory alignment between the Council of Europe (CoE) and the European Union(EU) through sport, which we suggest can be achieved by greater adherence by the latter organisation to the CoE’s Saint-Denis Convention. Underpinning this suggestion is the two-fold contention that in view of sport representing a shared priority for both organisations, in addition to Europe being a site of key global sport mega-events, more cohesion and consistency between both organisations in terms of their approach to sports law and policy would contribute to greater European-wide legal unity and certainty from a sporting perspective.
The Influence of Leaders on the Quality of Citizen Deliberation: An Exploratory Assessment of Online Deliberation in New Zealand
Authors: Susin Audrey Angelina , Ordonez-Ponce Eduardo
Published: July 2023

Leaders can be essential in setting the tone of deliberation in the public sphere, but can their discursive style influence the wider public sphere? Mass communication usually mediates leader-citizen interactions, and the proliferation of social media has presented new, large-scale opportunities to support deliberation. Further, leaders using these platforms have widespread reach. Using deliberative discourse analysis, this exploratory research studies whether leaders influence the quality of citizen deliberation and whether this is dependent on the online arena. Two leaders with contrasting communication styles were chosen: New Zealand prime minister Jacinda Ardern and opposition leader Judith Collins. Two online arenas were included: a national news media Facebook page and the leaders’ respective Facebook pages. The results found that deliberative quality was variable within the news mass media arena; however, citizens displayed higher deliberative quality when the leader did so in the leaders-led online media arena. This study suggests that a leader’s use of deliberative dialogue to foster more deliberative discussion among citizens when they engage as both participants and facilitators in arenas with greater access to directly support deliberation. It presents theoretical arguments for leaders to participate in legitimation processes as part of the response ot the problem of scale and introduces a communication model for leaders to support deliberation in the public sphere. The model suggests that the leader's ability to affect the deliberative quality of citizens' discussions is mediated by their level of influence within that space. 
Deliberators’ Awareness of Attitude Transformation
Authors: Hellquist Alexander
Published: July 2023

The significance of deliberators’ awareness of attitude transformation can be derived directly from deliberative democracy theory, but the issue has received little attention in research. This paper is an attempt to synthesize literature on factors influencing this awareness into a heuristic that can guide further inquiry. Conceptualizing learning as a fundamental mechanism through which attitudes are influenced during deliberation, either consciously or subconsciously, this heuristic stipulates that the level of awareness of any transformation is enhanced by overt persuasion in accordance with communicative rationality, and lowered, first, by various subconscious biases prompted in dialogue settings, and, second, by certain forms of calculated manipulation of deliberators. For illustrative purposes, the paper also presents a few more tangible, if tentative, observations from two small Swedish citizen dialogues that exemplify how design of deliberation may interact with factors influencing awareness of attitude transformation in real-life settings. More specifically, the observations suggest that ‘hot’ dialogues addressing well-defined and conflictual policy choices may favor awareness, while ‘colder’ consensus-oriented dialogues on broader issues might make participants less aware.
Psicologia social e fake news: a perspectiva do realismo crítico
Authors: Pereira Marcos Emanoel
Published: July 2023

Este artigo é o desdobramento de uma comunicação lida na mesa redonda “A psicologia na luta contra a desinformação”, proposta pela Sociedade Brasileira de Psicologia e realizada na 74a Reunião Anual da Sociedade Brasileira Para o Progresso da Ciência. A temática comum à comunicação, e ao artigo aqui apresentado, é a das fake news e, em um sentido mais amplo, o uso da desinformação como um recurso de persuasão. Defendemos o argumento de que as fake news devem ser interpretadas como um fenômeno real, complexo e, como tal, apreensível nas condições concretas que presidem as manifestações de qualquer evento real. Para entendê-las devemos a) identificar o que é fake news, diferenciando-as de fenômenos similares e análogos; b) reconhecer que, por se tratar de um fenômeno real,  deve ser analisada em consonância com perspectivas teóricas que permitam considerá-la na sua complexidade; c) uma vez entendidas como fenômenos reais e analisados segundo uma perspectiva ao mesmo tempo realista e crítica, consideramos a possibilidade de analisá-las segundo a perspectiva da psicologia social, a partir da constituição de um corpus; e d) apresentaremos algumas sugestões, decorrentes dos argumentos assinalados nas seções anteriores, que ofereçam indicadores de como podemos enfrentar a enxurrada de desinformações as quais estamos sujeitos em função das demandas impostas pelo desenvolvimento tecnológico atual  e pela crescente polarização política.
Enunciados de potencial metaforicidade: o dito e o implícito
Authors: Rocha Décio
Published: July 2023

Este trabalho tem por objetivo explorar a metaforicidade potencial de um enunciado, buscando surpreendê-la em sua formação no curso de uma troca verbal autêntica. Para tal, escolheu-se trabalhar com um sintagma explorado em diversas manchetes da mídia - “estragar a Páscoa” -, extraído de pronunciamento do presidente do Superior Tribunal Militar, general Luis Carlos Gomes Mattos, em 19 de abril de 2022, em resposta à divulgação de áudios que denunciavam a prática da tortura no Brasil do período ditatorial. A noção de metaforicidade indicará a propriedade de uma expressão que, tomada inicialmente em sua acepção básica, autoriza, em um segundo momento, uma leitura potencialmente metafórica. Como metodologia, adotou-se o procedimento de identificação de metáfora idealizado pelo grupo Pragglejaz (2007), objetivando captar a produção de uma leitura metafórica do referido sintagma com base em um funcionamento assentado na ironia. Do ponto de vista teórico, recorreu-se a trabalhos de Voloshinov, Lakoff e Johnson, Vereza, dentre outros. Os resultados alcançados confirmam a ideia de uma metaforicidade potencial do sintagma em análise, tendo em vista atualizações de usos da expressão já claramente metafóricos e, por certo, políticos, nas mídias. Do exposto, conclui-se que, no contexto investigado, a metaforização funciona como traço de responsividade do enunciado, quando o projeto do interlocutor é desqualificar eticamente gestos de ironia que se apreendem como significado básico de um enunciado.
Ataques cibernéticos: a metáfora de guerra em ciências da computação
Authors: Paiva Guedes e Silva Gustavo , Ferrari Lilian
Published: July 2023

Este trabalho investiga o papel da conceptualização metafórica no desenvolvimento da teorização científica na área de Ciências da Computação e, mais especificamente, na subárea de “Segurança Cibernética”. Com base em dados retirados de artigos acadêmicos publicados em anais de conferências reconhecidas na área da Computação ou Engenharias, a análise evidencia que a metáfora conceptual COMUNICAÇÃO ILEGAL EM REDES DE COMPUTADORES É GUERRA predomina na abordagem científica de interferências não autorizadas em sistemas computacionais.  Em particular, os resultados indicam que termos relacionados à metáfora em questão ocorrem, de forma consistente, em todos os textos analisados, evidenciando o processo cognitivo de mesclagem conceptual (FAUCONNIER e TURNER, 2002), bem como o fenômeno discursivo de metaforicidade (CAMERON, 2003).
Metáfora e argumentação em tweets sobre medidas preventivas para a Covid-19
Authors: Siqueira Maity , Girardi Ferrari Caroline , Tota Felippe , Da Rosa da Silva Tavares Vinícius
Published: July 2023

Passado o pior período da pandemia de COVID-19, ainda se discute a eficácia de medidas preventivas contra o vírus. As redes sociais, particularmente o Twitter, são o meio mais profícuo de discussão sobre o tema. Partimos da ideia de que tanto aspectos textuais quanto políticos podem influenciar o entendimento e as decisões a respeito de medidas de prevenção ao vírus. Nosso objetivo central é analisar o poder persuasivo de textos metafóricos do gênero tweet e do posicionamento político da pessoa quanto a medidas de prevenção da COVID-19, como o uso de máscaras e a vacinação. Considerando que tais decisões podem ser motivadas tanto por questões linguísticas quanto políticas, o poder de persuasão da linguagem metafórica foi cotejado com o posicionamento político dos participantes da pesquisa e sua disposição à adoção de medidas preventivas (vacina e máscara). Foi elaborada uma tarefa de interpretação de textos metafóricos bélicos, metafóricos esportivos e literais, analisando os problemas e soluções propostos por divulgadores científicos sobre aspectos de prevenção adotados durante a pandemia. Os dados foram coletados online, por meio de questionários e escalas Likert. Os resultados sugerem que o uso de linguagem metafórica influenciou as respostas dos participantes. Os dados também mostraram diferenças no desempenho dos participantes, em função de seu posicionamento político e de disposição para medidas preventivas contra COVID-19  (vacina e uso de máscaras).
O que faz uma boa metáfora na ciência?
Authors: Martinez Muñoz Sergio Fernando
Published: July 2023

As metáforas têm sido discutidas e estudadas principalmente como dispositivos retóricos na comunicação humana e nos estudos literários. Na filosofia e na ciência, as metáforas foram consideradas importantes como ferramentas heurísticas, para embelezamento estético ou para ajudar a comunicar ideias complexas de forma mais simples; mas não como tendo força epistêmica. Filósofos e cientistas são advertidos a evitar metáforas como recursos explicativos. No entanto, apresento vários exemplos em que as metáforas têm desempenhado um papel significativo no avanço do conhecimento científico e não como meras ajudas heurísticas ou decorativas. Vale a pena abordar essa tensão. Eu uso trabalhos recentes nas ciências cognitivas para argumentar que algumas metáforas desempenham um papel significativo na organização e coordenação de práticas científicas em relação aos objetivos da investigação, promovendo assim valores epistêmicos (explicações científicas e, de maneira mais geral, compreensão) no processo. Tais metáforas, portanto, desempenham um papel cognitivo fundamental. Boas metáforas no sentido epistêmico, então, são aquelas que desempenham tal papel cognitivo.
1-Methylcyclopropene Alleviates Postharvest Chilling Injury of Snap Beans by Enhancing Antioxidant Defense System
Authors: Lv Na , Wang Cai-Ping , Zhou Hong-Tao , Guo Chang-Jie , Zhang Hao-Yan , Ren Da-Yong
Published: July 2023

Research background. Chilling injury is a major disorder affecting the quality of tropical
and subtropical vegetables during low temperature storage. Snap bean (Phaseolus vulgaris L.) is sensitive to chilling injury. The main purpose of the present study is to investigate the alleviating effects of 1-methylcyclopropene (1-MCP) on chilling injury of snap bean. In addition, the related mechanisms were also detected from the perspective of the changes of antioxidant defense system.
Experimental approach. Snap beans were exposed to different volume fractions of 1-MCP. After 24 h of treatment, snap beans were stored at 4 °C for up to 14 days. Chilling
injury index, electrolyte leakage, titratable acidity and total soluble solids were determined. Contents of chlorophyll, ascorbic acid and malondialdehyde were assessed. The total antioxidant capacity, Fe(II) ion chelating capacity, scavenging capacities on free radicals and activities of antioxidant enzymes were detected. Total phenol content and activities of related metabolic enzymes were also determined.
Results and conclusions. 1-MCP treatment reduced chilling injury index, electrolyte
leakage rate and malondialdehyde content of snap beans. The amounts of total soluble
solids, titratable acid, ascorbic acid and total chlorophyll in 1-MCP-treated snap beans were significantly higher than those of control. The snap beans treated with 1-MCP showed stronger total antioxidant capacity and metal chelating activity. The 1-MCP treatment enhanced scavenging effects of snap beans on superoxide, hydroxyl and 1,1-diphenyl-2-trinitrophenylhydrazine radicals. The activities of peroxidase, ascorbate peroxidase, superoxide dismutase and catalase in 1-MCP-treated group were higher than of control. The treatment also enhanced the accumulation of phenolic compounds in snap beans by regulating the activities of phenol-metabolizing enzymes such as shikimate dehydrogenase, phenylalanine ammonia lyase enzyme, cinnamic acid 4-hydroxylase and polyphenol oxidase. In conclusion, with the mechanism that involves the activation of enzymatic and non-enzymatic antioxidant systems, 1-MCP has the ability to avoid chilling injury of snap bean.
Novelty and scientific contribution. This study gives insights into whether 1-MCP can
regulate postharvest cold resistance in vegetables by enhancing the enzymatic antioxidant system and inducing the accumulation of non-enzymatic antioxidants. Considering the results, 1-MCP treatment could be an effective method to alleviate postharvest chilling injury of snap beans during low temperature storage.
Resilienz im Arbeitskontext
Authors:   Department Psychologie, MSH Medical School Hamburg, Soucek Roman
Published: July 2023

Resilienz wird oft als psychische Widerstandskraft bezeichnet und als Geheimrezept zur Bewältigung von Krisen herangezogen. Allerdings wird Resilienz in der Praxis sehr unterschiedlich ausgelegt. In diesem Beitrag wird zunächst aufgeklärt, was sich hinter dem Begriff der Resilienz verbirgt. Anschließend wird ein Modell der Resilienz im Arbeitskontext vorgestellt, das die Ebenen von Individuen, Teams und der Organisation betrachtet.
Humor in der Pflege
Authors:   Abteilung Arbeits- und Organisationspsychologie der Europa-Universität Flensburg, Korock Laura , Scheel Tabea ,   Abteilung Arbeits- und Organisationspsychologie der Europa-Universität Flensburg
Published: July 2023

Humor am Arbeitsplatz galt einst als unprofessionell und wenig seriös. Heute wissen wir, dass Humor Kreativität fördern, den Teamzusammenhalt stärken und Stress abbauen kann. Das Forschungsprojekt „Humor – für die seelische Gesundheit“ nutzt dieses Wissen und möchte durch Humorinterventionen in Pflegeeinrichtungen nicht nur ein positives Betriebsklima fördern, sondern neben psychosozialer Gesundheit und Wohlbefinden ebenfalls die Resilienz aller Beteiligten stärken.
Staplerfahrende im Fokus der Betriebsmedizin
Authors: Albrod Manfred
Published: July 2023

Flurförderfahrzeuge sind grundsätzlich als mögliche Gefahrenquelle im innerbetrieblichen Verkehr zu betrachten, die der Aufmerksamkeit des Arbeits- und Gesundheitsschutzes bedarf. Im betriebsmedizinischen Aufgabenbereich konzentriert sich die Diskussion vornehmlich auf gesundheitliche Eignungsaspekte der Staplerfahrenden. Daher ist zu erörtern, welches präventivmedizinische Methodeninventar dem Gesundheitsschutz grundsätzlich zur Verfügung steht.
„Mit Humor und Selbstironie schwierige Situationen meistern“ (Interview)
Authors: Plankermann Natascha
Published: July 2023

Petra Moske ist Mitgründerin und erster Vorstand des europaweit agierenden Sozialunternehmens nestwärme e.V., das sich für Familien mit schwerkranken und behinderten Kindern engagiert. Sie unterstützt Menschen, die mit hohen Belastungen fertig werden müssen. Als zertifizierter Resilienz-Coach hilft Petra Moske ihnen, mehr Widerstandskraft zu entwickeln. Im Interview erklärt sie, wie Pflegekräfte ihre vielfältigen Anforderungen meistern können.
Collaborative Mind Mapping-Assisted RICOSRE to Promote Students’ Problem-Solving Skills
Authors: BADRİAH Liah , MAHANAL Susriyati , LUKİATİ Betty , SAPTASARİ Murni
Published: July 2023

Problem-solving skills are a series of complex thought processes that play an important role in the 21st century learning process. Problem-solving skills must be an important focus because they direct students to problem-solving activities and find alternative solutions that are needed objectively in learning or in everyday life. The purpose of this study was to examine the effect of Collaborative Mind Mapping (CMM)-Assisted RICOSRE on improving students' problem-solving skills. This study uses a nonequivalent pretest-posttest control group design with three classes of the Biology Education Study Program at Siliwangi University in Tasikmalaya, Indonesia. This study recruited 100 students, 40 students were in the experimental group with the RICOSRE-CMM model, 35 students in the positive control group used RICOSRE, and 25 students in the negative control group applied direct instruction. The effectiveness of RICOSRE-CMM model learning towards improving problem-solving abilities was evaluated at two points, namely pre-course and post-course. Essay questions were used to collect research data and assess students' problem-solving skills. A rubric is used to evaluate student responses. The findings of this study indicate that the RICOSRE-CMM learning model significantly affects Siliwangi University students' problem-solving skills in Tasikmalaya. Studying with RICOSRE-CMM can simplify students' complex thinking processes toward frequently encountered problems. Systematically organized visualization can help speed up the process of finding solutions effectively and efficiently.
Control de la musculatura flexo-extensora de la rodilla en jugadoras de voleibol de alto nivel
Authors: Molina Juan José , Rodriguez-Ruiz David , Diez-Vega Ignacio , Kelly Adam L. , Jiménez Sáiz Sergio L
Published: July 2023

The aim of this study was to describe, through TMG, the changes produced in the mechanical characteristics of the musculature responsible for the flexo-extension of the knee joint: before and after a training period, in highly competitive female volleyball players. The sample studied was included 16 female volleyball players (age 20,3 ± 1,7 years; weight: 67,75 ± 9,13 kg.; height: 178,2 ± 7,1 cm.; BMI: 21,41 ± 1,75 kg/m2) from two Spanish Super-league teams. The results show clear differences in the pre-post values of all parameters: Jump Height, Normalized response speed (Vrn), Maximum radial displacement of the muscle belly (Dm), Delay Time (Td), Sustain Time (Ts), and Relaxation Time (Tr). The Vrn values of VL (p=<0.001; ES=1.11) were statistically significant, and a statistical trend can bewas also seen in the Vm values of RF (p=0.117; ES=0.69). We can conclude that TMG is sensitive enough to detect changes in the knee musculature of high-performance female volleyball players after a season training period.Keywords: Tensiomyography, Volleyball, Muscle response, Jump
Expansion of NK cells on feeder cells v1
Authors: R Kennedy Philippa
Published: July 2023

This protocol contains the details of how we implement the protocol devised by Somanchi et al. (https://www.jove.com/v/2540/expansion-purification-functional-assessment-human-peripheral-blood). 5 million enriched NK cells should give approx. 100 million cells by day 7 and >2 billion by day 14. This assay can be scaled down or up depending on how many cells are needed. Expanded NK cells are typically frozen and stored until required.
Assessment of oxidative phosphorylation and glycolysis in NK cells (Seahorse assays) v1
Authors: R Kennedy Philippa
Published: July 2023

The rate of glycolysis (as measured by acidification of the extracellular space) and the rate of oxidative phosphorylation (as calculated from the consumption of oxygen) are measured in cells before and after the addition of drugs that test the resting and maximal capacity of these cells to respond. Agilent offers a Mito Stress test kit (cat. 103015-100) to analyze both extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) in a combined assay that is the most commonly used in the literature. This assay is conducted in the presence of glucose. The glycolytic rate assay (cat. 103344-100) and ATP rate assays (cat. 103592-100) determine basal ECAR in the media that initially does not contain glucose and thus gives a more precise measure of glycolysis.
Equalizer of Amplitude-Frequency Response of Acoustic Channels and its Adaptive Filter Based on Recursive Least Squares Algorithm with Diagonalized Correlation Matrix
Authors:   Institute for design problems in microelectronics of Russian Academy of Sciences, Moscow, Djigan V. I.
Published: July 2023

The paper presents an equalizer of the amplitude-frequency response of the acoustic wave propagation channels in the rooms. The considered equalizer uses the so-called modified architecture based on the adaptive filter with the input signal filtering, which weights are calculated using the Recursive Least Squares (RLS) algorithm. The equalizer of the acoustic channels amplitude-frequency response usually requires the usage of the adaptive filters with the large number of weighs that means the large computational complexity of the adaptive filter. The adaptive filters based on the fast RLS algorithms are efficient in the terms of their complexity but often unstable if the number of adaptive filter weights is large. Therefore, the algorithms are poorly suited for usage in the amplitude-frequency response equalizers of the acoustic channels. Adaptive filters based on the RLS algorithm, which use the Matrix Inversion Lemma (MIL), are stable, but computationally complex. The equalizer presented in this paper uses a simplified adaptive filter based on the MIL RLS algorithm with a diagonalized correlation matrix of the filter input signal. In addition, in the filter, each of the square submatrices on the simplified correlation matrix diagonal is inverted using a computationally efficient version of the MIL that takes into account the symmetrical structure of the mentioned submatrices relatively their main diagonals. Computer simulation confirms the performance of the proposed equalizer and demonstrates its efficiency comparing to the unsimplified equalizer. The demo includes the graphs of the equalizer steady-state amplitude-frequency response, the acoustic channel amplitude-frequency responses before and after the equalization, and the power spectral density plots of the equalizer input signal and the signals passed through the equalizer and the acoustic medium. The equalizer can be used in the equipment for the high-quality voice and music reproduction in the conditions of the limited computing resources for the implementation of the equalizer.
Information Analysis of Historically Significant Territories at Various Time Stages of their Development
Authors:   Tambov State Technical University, Morozov V. V. , Nemtinov V. A. ,   Tambov State Technical University, Protasova Yu. V. ,   Tambov State University named after G. R. Derzhavin
Published: July 2023

The paper describes: a structural scheme for representing knowledge about a historically significant territory, providing a formalized informational description of a three-dimensional space model; procedural model for determining the values of the characteristics of a virtual space object; the procedure for creating a realistic virtual model of a historically significant territory, according to which conclusions should be drawn about the development of Its development; carried out Informational analysis of inaccurate data from various primary sources using fuzzy set theory. The technology of creating a virtual historical space using the developed information-logical model and software environments 3DVista Virtual Tour Pro, Twinmotion is described. As a result, a virtual tour has been obtained, which can be used for various purposes: remote consideration of issues related to objects of historical reconstruction; teaching schoolchildren, students; passing educational quests.
A Process for Managing Digital Transformation: An Organizational Inertia Perspective
Authors: Kaganer Evgeny ,   IESE Business School, University of Navarra, Gregory Robert Wayne ,   Miami Herbert Business School, University of Miami, Sarker Suprateek ,   McIntire School of Commerce, University of Virginia
Published: July 2023

Digital transformation is often described as organizational change that is simultaneously triggered and enabled by digital technologies. As with other types of organizational transformation, overcoming organizational inertia lies at the heart of digital transformation. However, our understanding of the specific processes employed by incumbent firms to overcome organizational inertia in digital transformation is currently limited. In this paper, we draw on the case study of AsiaBank, a large traditional bank in Asia, to explore the microfoundations of how incumbent firms tackle different types of inertia as they embark on a digital transformation journey. We identify four key digital transformation processes—i.e., embracing the consumerization of digital technologies, diffusing and appropriating digital business practices, enabling distributed organizing, and revamping IT architecture—that combine to reduce negative psychology, sociocognitive, sociotechnical, political, and economic inertia in digital transformation. Our findings expand the extant view on the role of agency in overcoming organizational inertia and contribute to the literature at the intersection of digital innovation and transformation.
ON THE QUESTION OF PRESERVING ETHNIC AUTHENTICITY OF HUMAN ESSENCE
Authors:   Dnipropetrovsk State University of Internal Affairs, POPOVSKY Anatoly , KHMEL-DUNAI Halyna ,   Dnipropetrovsk State University of Internal Affairs
Published: July 2023

The article examines the transformational processes of preserving the ethnic authenticity of the human essence in the context of the historical development of statehood in Lithuania and Ukraine, which continue to function in the creative cooperation of modern sovereign states. Ukraine and Lithuania are long-standing and reliable partners not only in economic, political, scientific and cultural cooperation – they are united by a common history and ancient cultural processes. In Dnipropetrovsk region, with the assistance of the regional state administration, centers of representatives of various nationalities are actively functioning, among which the cultural and business center of Lithuania occupies an important place in the economic, scientific and cultural life of Ukraine. The purpose of the article is to highlight the enduring ethnic authenticity of Lithuanians and Ukrainians in the long-term state-building cooperation between Ukraine and Lithuania, encompassing the political-economic and scientific-cultural spheres of both ethnic groups. This is the first attempt to shed light on the relations between Ukrainians and Lithuanians from the point of view of the organization of their socio-historical formations in the state-building, economic, and cultural spheres of cooperation. Moreover, the question of the ethnic authenticity of both ethnic groups outside their homeland in the modern Ukrainian-Lithuanian discourse, unfortunately, has not become the subject of dedicated historical-linguistic research. The issue of preserving ethnic identity remains a highly relevant factor in modern globalization processes and requires a thorough study of its important social features that form mutual respect, creative cooperation, and a high spiritual culture of international relations, which will resist discord, enmity and aggressive intentions between representatives of different nationalities of our planet.
Geochemical and mineralogical characterization of mine tailings at the Rautuvaara mine site and aspects to environmental conditions and resource potential
Authors:   Oulu Mining School, University of Oulu, Finland, Juutinen Mitro , Seitsaari Markku ,   Oulu mining school, University of Oulu, Finland, Sarala Pertti ,   Oulu Mining School, University of Oulu, Finland
Published: July 2023

Mining industry generates a significant amount of waste including waste rock and tailings. The disposal of mine tailings has environmental impacts, such as the releasing of heavy metals to surface and underground waters. Therefore, adequate rehabilitation of mining waste storage facilities is essential. Abandoned tailings ponds may contain significant amounts of valuable minerals, including critical raw materials, and offer opportunities as secondary mineral resources. In this study geochemical and mineralogical characterization were made for the diverse mine tailings of the Rautuvaara tailings pond which was the final disposal site for different ore deposits. The samples were collected from two different locations in the tailings pond, preconcentrated and analysed with several methods including PSA, XRD, FE-SEM, EPMA, pXRF, WD-XRF and AAS. The geochemical results indicate substantially elevated Cu, As, Ni and Zn concentrations in the tailings. Mineralogical investigations revealed that the tailings contain valuable minerals such as gold, cobaltite, and W-bearing rutile. The last could be used as an indicator mineral in tailings classification and possibly also in future ore exploration. The study of secondary mineralogy revealed that the most weathered top layers of the tailings show secondary alteration rims on the surfaces of mineral particles, and the enrichment of As and Ni in the Fe- and Mn-oxide minerals.
Diagnosis and treatment-related issues of autoimmune epilepsy
Authors: Shilkina O. S. , Timechko E. E. , Dmitrenko D. V.
Published: July 2023

Due to elevated frequency of autoimmune epilepsy cases, the issues related to reliable clinical and laboratory-instrumental criteria for establishing the disease etiology become relevant. Differentiated assessment of autoantibody markers allows to choose the most effective tactics for managing patients. The article presents the criteria for assessing autoimmune epilepsy as well as diagnostic scales, features related to clinical picture and response to therapy based on the type of synthesized autoantibodies. Therapeutic lines and targets for immunomodulatory and antiepileptic drugs used in autoimmune epilepsy are detailed, the knowledge of which along with clinical and laboratory data collectively allow to determine effective and safe therapy algorithm.
Third generation antiepileptic drugs: mechanism of action, pharmacokinetics, interaction and use in childhood
Authors: Tadtaeva Z. G. , Galustyan A. N. , Gromova O. A. , Sardaryan I. S.
Published: July 2023

The review considers pharmacological characteristics of new antiepileptic drugs (AEDs) of the third generation such as eslicarbazepine, lacosamide, retigabine, perampanel, everolimus, brivaracetam, zonisamide. The data on the mechanisms of action, pharmacokinetics, drug interactions, indications for use and side effects are presented. The drugs are recognized as superior in safety and efficacy to previously known AEDs of the first and second generations. The majority of new AEDs is used to control focal seizures, as well as in specific epileptic syndromes (Lennox–Gastaut syndrome, Dravet syndrome), and tuberous sclerosis. The drugs differ in the mechanism of action, pharmacokinetic properties, effectiveness and profile of side effects, which account for an opportunity to apply a personalized approach to patient treatment. Properly selected therapy allows to achieve good control over epileptic seizures as well as lower a risk of disease-related complications. While prescribing AEDs, it is necessary to take into account their pharmacokinetic and pharmacodynamic features.
Financial Fraud Detection using Improved Artificial Humming Bird Algorithm with Modified Extreme Learning Machine
Authors: Krishna V. Rama , Boddu Sekharbabu
Published: July 2023

More and more industries, including the financial sector, are moving their operations online as internet usage continues to rise at an exponential rate. As a result, financial fraud is on the rise in all its guises and in all parts of the world, causing enormous economic damage. The purpose of financial fraud detection systems is to identify potential dangers, such as unauthorised access or unusual attacks. In recent years, this problem has been attacked using a variety of machine learning and data mining methods. Aalgorithms, on the other hand, are better able to deal with only a small quantity of labelled data and a large amount of unlabeled data, making them useful in situations where it would be impractical to rely solely on supervised learning algorithms to train a good-performing classifier. In this research, we propose a Semi-supervised Extreme Learning Machine (SKELM) built on top of the weighted kernel, which we call SELMWK. For the purpose of detecting financial fraud, this research proposes an enhanced artificial hummingbird algorithm (IAHA). The algorithm combines two essential techniques to enhance its capacity for optimisation. To begin, the Chebyshev chaotic map is used to seed the first population of artificial hummingbirds, which boosts the population's overall ability to do global searches. Second, the guided foraging phase incorporates the Levy flight to enlarge the search field and forestall early convergence. The experimental results demonstration that the suggested technique recovers the Internet monetary fraud detections.
Machine Learning-Based Algorithms for the Detection of Leaf Disease in Agriculture Crops
Authors: Bhosale Jyoti Dinkar , Thorat Sushma Sambhaji , Pancholi Priti Vijaykumar , Mutkule Prasad Raghunath
Published: July 2023

Identifying plant leaves early on is key to preventing catastrophic outbreaks. An important studyarea is automatic disease detection in plants. Fungi, bacteria, and viruses are the main culprits in most plantillnesses. The process of choosing a classification method is always challenging because the quality of the results can differ depending on the input data. K-Nearest Neighbor Classifier (KNN), Probabilistic NeuralNetwork (PNN), Genetic Algorithm, Support Vector Machine (SVM) and Principal Component Analysis,Artificial Neural Network (ANN), and Fuzzy Logic are a few examples of diverse classification algorithms.Classifications of plant leaf diseases have many uses in a variety of industries, including agriculture andbiological research. Presymptomatic diagnosis and crop health information can aid in the ability to managepathogens through proper management approaches. Convolutional neural networks (CNNs) are the mostwidely used DL models for computer vision issues since they have proven to be very effective in tasks likepicture categorization, object detection, image segmentation, etc. The experimental findings demonstrate theproposed model's superior performance to pre-trained models such as VGG16 and InceptionV3. The range ofcategorization accuracy is 76% to 100%, based on.
Developing a Scale to Measure Student Quality of Life in an Online Learning Set Up in the Pandemic Context
Authors: Gono Jr. Exequiel R. , Abalos Maribel B.
Published: July 2023

The COVID-19 pandemic brought many challenges to the student's quality of life. The University of Mindanao should develop an intervention program anchored to the new dimensions of students' quality of life. This study aims to create a scale on students' quality of life. Using a mixed-method research design, the researchers interviewed 13 students about students quality of life. The output of the interview, as well as the readings of related literature, became the basis of the Item Pool Statements (IPS). The IPS was evaluated by ten experts using Lawshe's method of Content Validation. The researchers collected 595 observations for Exploratory Factor Analysis and 3978 observations for Confirmatory Factor Analysis. The exploratory factor analysis extracted five factors: life vitality, emotional well-being, academic struggles, learning environment, financial well-being, and learning modality. A confirmatory factor analysis was conducted to confirm further the measures of students' quality of life in the pandemic context. It was found that there is a significant relationship with the construct (factors). There is a high internal consistency and convergent validity of each construct. In addition, the ?2/df= 2.087, CFI=.962, TLI = 0.970, and RMSEA= .048 (p close = 0.650) are fitted to the level of acceptance; thus the model is fit.
Real-Time Vehicle Accident Recognition from Traffic Video Surveillance using YOLOV8 and OpenCV
Authors: Mane Deepak T. , Sangve Sunil , Kandhare Sahil , Mohole Saurabh , Sonar Sanket , Tupare Satej
Published: July 2023

The automatic detection of traffic accidents is a significant topic in traffic monitoring systems. It can reduce irresponsible driving behavior, improve emergency response, improve traffic management, and encourage safer driving practices. Computer vision can be a promising technique for automatic accident detection because it provides a reliable, automated, and speedy accident detection system that can improve emergency response times and ultimately save lives. This paper proposed an ensemble model that uses the YOLOv8 approach for efficient and precise event detection. The model framework's robustness is evaluated using YouTube video sequences with various lighting circumstances. The proposed model has been trained using the open-source dataset Crash Car Detection Dataset, and its produced precision, recall, and mAP are 93.8% and 98%, 96.1%, respectively, which is a significant improvement above the prior precision, recall, and mAP figures of 91.3%, 87.6%, and 93.8%. The effectiveness of the proposed approach in real-time traffic surveillance applications is proved by experimental results using actual traffic video data.
Smart City IoT Data Management with Proactive Middleware
Authors: Kolekar Vikas K , Oswal Meet , Wankhade Yash , Shirke Gayatri , Sondur Archana , Wable Prajwal
Published: July 2023

With the increased emergence of cloud-based services, users are frequently perplexed as to which cloud service to use and whether it will be beneficial to them. The user must compare various services, which can be a time-consuming task if the user is unsure of what they might need for their application. This paper proposes a middleware solution for storing Internet of Things (IoT) data produced by various sensors, such as traffic, air quality, temperature, and so on, on multiple cloud service providers depending on the type of data. Standard cloud computing technologies become insufficient to handle the data as the volume of data generated by smart city devices grows. The middleware was created after a comparative study of various existing middleware. The middleware uses the concept of the federal cloud for the purpose of storing data. The middleware solution described in this paper makes it easier to distribute and classify IoT data to various cloud environments based on its type. The middleware was evaluated using a series of tests, which revealed its ability to properly manage smart city data across multiple cloud environments. Overall, this research contributes to the development of middleware solutions that can improve the management of IoT data in settings such as smart cities.
Techniques for Stock Market Prediction: A Review
Authors: Sable Rachna , Goel Shivani , Chatterjee Pradeep
Published: July 2023

Stock market forecasting has long been viewed as a vital real-life topic in economics world. There are many challenges in stock market prediction systems such as the Efficient Market Hypothesis (EMH), Nonlinearity, complex, diverse datasets, and parameter optimization. A stock's value on the stock market fluctuates due to many factors like previous trends of the stock, the current news, twitter feeds, any online customer feedbacks etc. In this paper, the literature is critically analysed on approaches used for stock market prediction in terms of stock datasets, features used, evaluation metrics used, statistical, machine learning and deep learning techniques along with the directions for the future. The focus of this review is on trend and value prediction for stocks. Overall, 68 research papers have been considered for review from years 1998-2023. From the review, Indian stock market datasets are found to be most frequently used datasets. Evaluation metrics used commonly are accuracy and Mean Absolute Percentage Error. ARIMA is reported as the most used frequently statistical technique for stick market prediction. Long-Short Term Memory and Support Vector Machine are the commonly used algorithms in stock market prediction. The advantages and disadvantages of frequently used evaluation metrics, machine learning, deep learning and statistical approaches are also included in this survey.
Taguchi's Grey Relationship Analysis (GRA) for Comparing the Performance of Various Inkjet Printheads for Tone Value Increase on Uncoated Paper Substrates
Authors: Kumar Sanjeev , Baral Anjan Kumar
Published: July 2023

Digital technologies in printing attract more attention among the printers in recent years. All around the world, inkjet technology is used by both home and commercial printers. New applications for inkjet printing have emerged as the technology has developed, including the printing of high-quality periodicals and the packaging sector. This state-of-the-art technology, particularly Inkjet, has undergone extensive testing and refinement to ensure high quality prints High-quality printing often makes use of gloss coated sheets. Yet the high price of gloss coated paper limits its usefulness to certain types of work. Since then, it has been clear that uncoated papers are the best option for this task. The print quality would be different from that of glossy coated paper because of the roughness, porosity, and unevenness of the surface. Tone Value Increase (TVI) on uncoated paper printed with various inkjet printheads is an intriguing topic for investigation. Therefore, effective TVI is crucial. Multiple commercial inkjet printheads were tested for their TVI performance on uncoated paper and the results were compared using a novel statistical approach Taguchi's Grey Relational Analysis (GRA). The use of this statistical method yielded fruitful results in our study.
PMLC- Predictions of Mobility and Transmission in a Lane-Based Cluster VANET Validated on Machine Learning
Authors: Karne Radha Krishna , Sreeja T. K.
Published: July 2023

VANET refers to a massive network system, to communicate with each vehicle or infrastructure a precision protocol, an advanced view and routing system is required. This means of communication should be appropriate for all kind of vehicles. In this proposed PMLC protocol, which was built on cluster routing in a lane-based road environment. The network requires optimal solutions to form the cluster and choose its leader. All road environment characteristics are chosen, and multilayer estimations are generated to obtain specific deviations and variations, which are calculated based on data transfer and vehicle movement, and exact values are found using the machine learning system. The neural network processes the inputs, selects the required leader, and sends the data to the destination. At the end of this explanation, the execution of this protocol is depicted graphically.