bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of intelligent protection and automation control systems using fuzzy logic elements
Authors: Ansabekova Gulbakyt , Sarsikeyev Yermek , Abdimuratov Zhubanyshbai , Appakov Nurbol , Kaliyev Zhanybek , Umurzakova Anara , Sarbassova Nurbanu , Zhumatova Assel
Published: November 2023

In this article, the causes of technological disturbances in electrical systems are considered, and several characteristic disadvantages of the protection and automation of elements of electrical systems are highlighted. The tendency to decrease the reliability of relay protection associated with the transition from analog to digital types of protection is substantiated. Based on the studied examples, the use of fuzzy logic in protections, the expediency of using fuzzy logic elements in protection devices, and the automation of electrical systems to identify types of short circuits are justified. This article analyzes the most common damages and presents the results of modeling an electrical system with transformer coupling, where all types of asymmetric short circuits were initiated. The dynamics of changes in the symmetrical components of short-circuit currents of the forward, reverse, and zero sequences are determined. Rules have been created for the identification of asymmetric types of short circuits. An algorithm of protection and automation operation using fuzzy logic elements has been developed. The proposed algorithm of protection and automation will reduce the time to determine the type of damage and trigger protections.
The role of Louvain-coloring clustering in the detection of fraud transactions
Authors: Mardiansyah Heru , Suwilo Saib , Nababan Erna Budhiarti , Efendi Syahril
Published: November 2023

Clustering is a technique in data mining capable of grouping very large amounts of data to gain new knowledge based on unsupervised learning. Clustering is capable of grouping various types of data and fields. The process that requires this technique is in the business sector, especially banking. In the transaction business process in banking, fraud is often encountered in transactions. This raises interest in clustering data fraud in transactions. An algorithm is needed in the cluster, namely Louvain’s algorithm. Louvain’s algorithm is capable of clustering in large numbers, which represent them in a graph. So, the Louvain algorithm is optimized with colored graphs to facilitate research continuity in labeling. In this study, 33,491 non-fraud data were grouped, and 241 fraud transaction data were carried out. However, Louvain’s algorithm shows that clustering increases the amount of data fraud of 90% by accurate.
Graph embedding approach to analyze sentiments on cryptocurrency
Authors: Moudhich Ihab , Fennan Abdelhadi
Published: November 2023

This paper presents a comprehensive exploration of graph embedding techniques for sentiment analysis. The objective of this study is to enhance the accuracy of sentiment analysis models by leveraging the rich contextual relationships between words in text data. We investigate the application of graph embedding in the context of sentiment analysis, focusing on it is effectiveness in capturing the semantic and syntactic information of text. By representing text as a graph and employing graph embedding techniques, we aim to extract meaningful insights and improve the performance of sentiment analysis models. To achieve our goal, we conduct a thorough comparison of graph embedding with traditional word embedding and simple embedding layers. Our experiments demonstrate that the graph embedding model outperforms these conventional models in terms of accuracy, highlighting it is potential for sentiment analysis tasks. Furthermore, we address two limitations of graph embedding techniques: handling out-of-vocabulary words and incorporating sentiment shift over time. The findings of this study emphasize the significance of graph embedding techniques in sentiment analysis, offering valuable insights into sentiment analysis within various domains. The results suggest that graph embedding can capture intricate relationships between words, enabling a more nuanced understanding of the sentiment expressed in text data.
Sensing complicated meanings from unstructured data: a novel hybrid approach
Authors: Shastri Shankarayya , Teligi Math Veeragangadhara Swamy , Siddalingappa Patil Nagaraja
Published: November 2023

The majority of data on computers nowadays is in the form of unstructured data and unstructured text. The inherent ambiguity of natural language makes it incredibly difficult but also highly profitable to find hidden information or comprehend complex semantics in unstructured text. In this paper, we present the combination of natural language processing (NLP) and convolution neural network (CNN) hybrid architecture called automated analysis of unstructured text using machine learning (AAUT-ML) for the detection of complex semantics from unstructured data that enables different users to make understand formal semantic knowledge to be extracted from an unstructured text corpus. The AAUT-ML has been evaluated using three datasets data mining (DM), operating system (OS), and data base (DB), and compared with the existing models, i.e., YAKE, term frequency-inverse document frequency (TF-IDF) and text-R. The results show better outcomes in terms of precision, recall, and macro-averaged F1-score. This work presents a novel method for identifying complex semantics using unstructured data.
Noisy image enhancements using deep learning techniques
Authors: Daurenbekov Kuanysh , Aitimova Ulzada , Dauitbayeva Aigul , Sankibayev Arman , Tulegenova Elmira , Yerzhan Assel , Yerzhanova Akbota , Mukhamedrakhimova Galiya
Published: November 2023

This article explores the application of deep learning techniques to improve the accuracy of feature enhancements in noisy images. A multitasking convolutional neural network (CNN) learning model architecture has been proposed that is trained on a large set of annotated images. Various techniques have been used to process noisy images, including the use of data augmentation, the application of filters, and the use of image reconstruction techniques. As a result of the experiments, it was shown that the proposed model using deep learning methods significantly improves the accuracy of object recognition in noisy images. Compared to single-tasking models, the multi-tasking model showed the superiority of this approach in performing multiple tasks simultaneously and saving training time. This study confirms the effectiveness of using multitasking models using deep learning for object recognition in noisy images. The results obtained can be applied in various fields, including computer vision, robotics, automatic driving, and others, where accurate object recognition in noisy images is a critical component.
Enhanced transformer long short-term memory framework for datastream prediction
Authors: Dief Nada Adel , Salem Mofreh Mohamed , Rabie Asmaa Hamdy , El-Desouky Ali Ibrahim
Published: November 2023

In machine learning, datastream prediction is a challenging issue, particularly when dealing with enormous amounts of continuous data. The dynamic nature of data makes it difficult for traditional models to handle and sustain real-time prediction accuracy. This research uses a multi-processor long short-term memory (MPLSTM) architecture to present a unique framework for datastream regression. By employing several central processing units (CPUs) to divide the datastream into multiple parallel chunks, the MPLSTM framework illustrates the intrinsic parallelism of long short-term memory (LSTM) networks. The MPLSTM framework ensures accurate predictions by skillfully learning and adapting to changing data distributions. Extensive experimental assessments on real-world datasets have demonstrated the clear superiority of the MPLSTM architecture over previous methods. This study uses the transformer, the most recent deep learning breakthrough technology, to demonstrate how well it can handle challenging tasks and emphasizes its critical role as a cutting-edge approach to raising the bar for machine learning.
A study of feature extraction for Arabic calligraphy characters recognition
Authors: Zoizou Abdelhay , Errebiai Chaimae , Zarghili Arsalane , Chaker Ilham
Published: November 2023

Optical character recognition (OCR) is one of the widely used pattern recognition systems. However, the research on ancient Arabic writing recognition has suffered from a lack of interest for decades, despite the availability of thousands of historical documents. One of the reasons for this lack of interest is the absence of a standard dataset, which is fundamental for building and evaluating an OCR system. In 2022, we published a database of ancient Arabic words as the only public dataset of characters written in Al-Mojawhar Moroccan calligraphy. Therefore, such a database needs to be studied and evaluated. In this paper, we explored the proposed database and investigated the recognition of Al-Mojawhar Arabic characters. We studied feature extraction by using the most popular descriptors used in Arabic OCR. The studied descriptors were associated with different machine learning classifiers to build recognition models and verify their performance. In order to compare the learned and handcrafted features on the proposed dataset, we proposed a deep convolutional neural network for character recognition. Regarding the complexity of the character shapes, the results obtained were very promising, especially by using the convolutional neural network model, which gave the highest accuracy score.
Optimal load management of autonomous power systems in conditions of water shortage
Authors: Rahimov Firdavs , Kirgizov Alifbek , Safaraliev Murodbek , Zicmane Inga , Sergeev Nikita , Matrenin Pavel
Published: November 2023

The issues of optimizing the operation of micro hydropower plants in conditions of water scarcity, performed by additional connection to the grid of an energy storage system and wind power turbine, as well as optimal load management, are considered. It is assumed that the load of the system is a concentrated autonomous power facility that consumes only active power. The paper presents a rigorous mathematical formulation of the problem, the solution of which corresponds to the minimum cost of an energy storage system and a wind turbine, which allows for uninterrupted supply of electricity to power facilities in conditions of water shortage necessary for the operation of micro hydropower plants (under unfavorable hydrological conditions). The problem is formulated as a nonlinear multi-objective optimization problem to apply metaheuristic stochastic algorithms. At the same time, a significant part of the problem is taken out and framed as a subproblem of linear programming which will make it possible to solve it by a deterministic simplex method that guarantees to find the exact global optimum. This approach will significantly increase the efficiency of solving the entire problem by combining metaheuristic algorithms and taking into account expert knowledge about the problem being solved.
Evolução da disponibilidade domiciliar de alimentos regionais no Amazonas
Authors: Monteiro Rita de Cássia de Assunção , Verly Júnior Eliseu
Published: November 2023

OBJETIVO: Avaliar a evolução da disponibilidade domiciliar de alimentos regionais no Amazonas, sua distribuição segundo características sociodemográficas e potenciais diferenças em relação ao restante do Brasil. MÉTODOS: Foram analisados dados de aquisição de alimentos para consumo domiciliar das Pesquisas de Orçamentos Familiares (POFs) de 2002–2003, 2008–2009 e 2017–2018, que estudaram, respectivamente, 48.470, 55.970 e 57.920 domicílios no Brasil, dos quais 1,075, 1.344 e 1.833 estão no Amazonas. Os alimentos foram reunidos em três grupos: macaxeira e derivados, peixes de água doce, e frutos regionais. A quantidade de alimento regional adquirido, expressa em participação calórica relativa domiciliar, foi analisada para o Amazonas como um todo e segundo variáveis sociodemográficas (diferenças avaliadas pela sobreposição dos intervalos de confiança de 95%). RESULTADOS: A participação calórica domiciliar do total de alimentos regionais no Amazonas foi de 22,54% em 2002-2003, 18,18% em 2008-2009 e 6,49% em 2017-2018. No Brasil, estes percentuais foram bem menores no mesmo período: 3,67%, 3,34% e 1,82%, respectivamente. As mudanças no Amazonas ocorreram, principalmente, pela drástica redução do grupo de macaxeira e derivados (de 14,30% em 2002–2003 para 12,74% em 2008-2009 e 3,09% em 2017–2018) e pelo declínio gradativo da disponibilidade domiciliar de peixes de água doce (de 7,30% em 2002–2003 para 4,85% 2008–2009 e 2,90% em 2017–2018). Domicílios do meio rural e com menor renda per capita tiveram maior participação calórica do total de alimentos regionais, estratos que também tiveram as maiores reduções. CONCLUSÃO: Houve redução significativa da presença de alimentos regionais no Amazonas no período estudado, atingindo principalmente os domicílios da zona rural e com menor renda, cuja pessoa de referência da família era do sexo masculino, mais jovem e com menor escolaridade.
Aprimorando a qualidade de Programas de Residência em Medicina de Família e Comunidade
Authors: Ribeiro Lucas Gaspar , Cyrino Eliana Golbfarb , Pazin-Filho Antônio
Published: November 2023

OBJETIVO: Desenvolver e apresentar um instrumento para avaliar e monitorar a qualidade de programas de residência médica em medicina de família e comunidade (MFC) a partir dos preceptores e residentes, considerando a inserção do programa de rede de saúde. MÉTODO: A elaboração do instrumento foi desenvolvida em três etapas: 1) entrevista com preceptores em MFC; 2) revisão da literatura; e 3) produção, adequação e aprovação do instrumento avaliativo por profissionais renomados na MFC brasileira. A terceira etapa contou com nove pessoas e utilizou a técnica Delphi com obtenção de 80% de concordância. Para os resultados qualitativos foi utilizada a análise de conteúdo de Bardin. RESULTADOS: Ao todo ocorreram cinco ciclos de avaliação para adequação das recomendações propostas, com eliminação de um item e ponderação, e metodologia de análise de resultado de dez itens resultantes. Atingiu-se uma matriz esperada para a organização de programas de residência na rede de saúde, dividida em três domínios: organização da unidade, recursos humanos e relação preceptor-residente. CONCLUSÃO: Um instrumento de avaliação e monitoramento de programas de residência em MFC pode ser uma ferramenta para auxiliar gestores de programas e permite a avaliação e monitoramento, qualificando-os continuamente.
Adequacy of prenatal care and associated factors in the State of Rio Grande do Sul, Brazil
Authors: Adami Aline De Gregori , Motta Leonardo Rapone da , Sperhacke Rosa Dea , Kato Sérgio Kakuta , Pereira Gerson Fernando Mendes , Rahmi Rosa Maria
Published: November 2023

OBJECTIVE: This study aims to assess the degree of adequacy of prenatal care (PNC) in the state of Rio Grande do Sul (RS) and in its 7 macro-regions considering the time of PNC initiation and the number of appointments attended. It also aims to verify the mode of delivery prevalence and the factors associated with PNC adequacy by mode of delivery. METHODS: Sub analysis from a cross-sectional study conducted among 13,432 childbearing women aged 15–49 years assisted in 66 maternity hospitals of the Unified Health System (SUS) and private associated facilities from September 2017 to October 2019. A standardized form was used to collect sociodemographic data, and information about PNC and delivery from the childbearing women’s prenatal cards, hospital records, and medical reports. RESULTS: The PNC coverage was (98.4%), but only 57.5% of the participants had an adequate PNC defined as the one initiated until the 12th gestational week, with attendance of at least 6 appointments. The cesarean rate was 57.2%. Among women who performed vaginal delivery, multivariate analysis showed that for each 1-year increase in the age of the parturient, the chance of having an adequate PNC increased by 5%. White parturients with higher education and fewer deliveries residing in the macro-region of Valleys were more likely to have an adequate PNC when compared with non-white parturients, who were illiterate and/or had incomplete elementary school, with 3 or more deliveries and who resided in other macro-regions. During pregnancy, 96.0% of the women performed at least one anti-HIV test, 55.8% a rapid test for syphilis, and 75.0% a Venereal Disease Research Laboratory test (VDRL). CONCLUSIONS: Despite the almost universal PNC coverage in RS, the PNC offered by the SUS was adequate for just half of the population, therefore public health policies targeted at women receiving care in this setting shall be revisited.
BrainAGE as a measure of maturation during early
adolescence
Authors: Whitmore Lucy B. , Weston Sara J. , Mills Kathryn L.
Published: November 2023

The Brain-Age Gap Estimation (BrainAGE) is an important new tool that purports to evaluate brain maturity when used in adolescent populations. However, it is unclear whether BrainAGE tracks with other maturational metrics in adolescence. In the current study, we related BrainAGE to metrics of pubertal and cognitive development using both a previously validated model and a novel model trained specifically on an early adolescent population. The previously validated model was used to predict BrainAGE in two age bands, 9-11 and 10-13 years old, while the novel model was used with 9-11 year olds only. Across both models and age bands, an older BrainAGE was related to more advanced pubertal development. The relationship between BrainAGE and cognition was less clear, with conflicting relationships across the two models. Additionally, longitudinal analysis revealed moderate to high stability in BrainAGE across early adolescence. The results of the current study provide initial evidence that BrainAGE tracks with some metrics of maturation, including pubertal development. However, the conflicting results between BrainAGE and cognition lead us to question the utility of these models for non-biological processes.
In Defence of Arabic Palaeography
Authors: D’Ottone Arianna
Published: November 2023

Museum Cuficum Borgianum (Rome 1782) is one of Jacob Georg Christian Adler’s works which traditionally mark the birth of Arabic palaeography. Almost a century ago the Russian Arabist Ignatij Kratchovsky considered Arabic palaeography an indispensable branch of knowledge that needed to be acquired. In 2023, however, Arabic palaeography is a discipline at risk. Rarely included in Oriental studies programs, Arabic palaeography is often confused with calligraphy and is absorbed into other fields relating to the study of artefacts, whilst being a philology-based discipline with a historical vocation. This contribution seeks to stress the value of Arabic palaeography as an essential discipline in the curriculum of students and (future) researchers and its potentials to enlarge and deepen historical and art historical research.
Shrines Unyielding: Inter-Asian Networks and the Enduring Power of Sacred Spaces
Authors: Lutfi Ameem
Published: November 2023

This essay examines modern states’ strategic destruction and patronage of Muslim shrines to consolidate majoritarian power. Drawing on Rian Thum’s notion of shrines as “durable sacred geography,” it conceptualizes shrines as active historical agents embedded in expansive transnational networks. Their extensive sacred geography enables shrines to persist as generative fulcrums that sustain meaning by bridging heterogeneous times and spaces despite tumultuous change. Challenging prevalent views of shrines as passive symbols, the essay delineates how the flexible reassembly of tradition across far-reaching networks empowers shrines to endure as pivotal arenas of ritual contestation from the medieval era into modernity. Their astounding continuity relies on mobilizing expansive geographies to creatively reconfigure tradition across eras.
Colloquium 1 Commentary on Stróżyński
Authors: Gurtler Gary M.
Published: November 2023

The Comment gives corroborative support to Stróżyński’s thesis by using resources from I.6[1].7–9 and VI.5[23].1. The nature of the soul and its ascent to intellect and the One is clarified in I.6[1].7, as the soul’s ascent recaptures its own nature. It identifies not only with intellect, but directly with the One, needing only its own powers, making union with the One within one’s reach and common to all. A barrier to seeing this has been the 19th century description of mysticism as rare and incommunicable. I.6[1].8–9 add both a method of reading texts and the cosmos in ancient mystical fashion and a redefinition of light for seeing the One. In VI.5[23].1, Plotinus provides a fundamental sense of self that captures an ancient wisdom that identifies the self internally with the One not as totally other but as intimately immanent to the soul.
Colloquium 2 The Contemplative Community: Pre-Socratic Teachings and Their Appropriation in the Phaedo
Authors: Marren Marina
Published: November 2023

This paper elucidates how the thinking about opposition that we find in the surviving passages of Anaxagoras of Clazomenae and in the fragments of Heraclitus of Ephesus informs discussions of the separability of the body and the soul in the Phaedo. I offer a reconstruction of the way in which these pre-Socratic ideas of opposition are appropriated and refracted in Plato’s Phaedo (especially at 85e–86e, 92a–95a, 102c–e, 102b–107a). I treat Anaxagoras first, in order to explicate how his ideas make up the background of the dialogical study of the separation of the soul from the body (102b–107a). My analysis of Heraclitus comes second and shows how his ideas inform the interlocutors’ assessment of the unity characteristic of the body and the soul (92a–95a). I set the stage for the discussion of Anaxagoras and Heraclitus by relating these thinkers to the broader Pythagorean background that is apparent in the dialogue.
Colloquium 2 Commentary on Marren
Authors: Romero Ross
Published: November 2023

This paper responds to Marina Marren’s “The Contemplative Community: Pre-Socratic Teachings and Their Appropriation in the Phaedo” by listing areas of agreement and raising questions for further consideration. Marren’s position—that the comedic aspects of the dialogue can be understood through a retrieval of Anaxagorean mixing of opposites and Heraclitean images of doubling—is discussed. The response then challenges Marren to clarify why we should think that Plato would disagree with Socrates regarding the status of the forms and to think more deeply about divinization as a theme in the Phaedo.
Colloquium 3 Inclination and the Place of the Elements in De Caelo
Authors: Hayes Josh Michael
Published: November 2023

In De Caelo III 2, Aristotle observes that each element is determined by an intrinsic principle to move to its proper place: earth downward, fire upward, and water and air to their respective places in the middle. However, how are we to determine the cause of elemental motion? Aristotle admits that this ranks among the most difficult problems (μάλιστα δ’ ἀπορεῖται) as it is directly related to the argument of Physics VIII 4, which defends the view that whatever is in motion is moved by something. The question of how the elements move is not resolved until we are presented with his definition of inclination (ῥοπή) in De Caelo IV 1. Inclination is the nature of each element to move to its proper place. Aristotle concludes that the principle of inclination is a cause of motion continuously orienting the elements toward their proper places by activating that which is potentially heavy or potentially light. In what follows, I shall demonstrate the internal coherence of Aristotle’s natural philosophy by deploying inclination as a principle of motion and rest to define the nature of each element. This account of inclination as a principle of motion is consistent with Aristotle’s definition of nature in Physics II 1. As an active principle of motion, inclination is identified with the activity (ἐνέργεια) of the element enacting and maintaining its own end (ἐντελέχεια) by being at rest in its proper place. As a passive principle of motion, inclination is identified with the passivity of the element to be moved to its proper place by another element insofar as the respective element undergoes generation or substantial change.
Rohdea brachyanthera (Asparagaceae), a new species from Guangdong, southern China
Authors: FENG HUI ZHE , TONG YI , WU LEI , GONG YUE NING , LIAO WEN BO
Published: November 2023

Rohdea brachyanthera, a new species from Nanling National Reserve of northern Guangdong, China, is described and illustrated. It is most similar to R. fargesii var. tsinlingensis in the perianth tube bearing an appendage at apex and the stamens are attached to it, but differs in the smooth inner surface of the perianth and stamens; the presence of six rib-like protrusions on the internal surface of the perianth tube; a ring-shaped, succulent appendage that is outwardly swollen and smooth on the surface and dilated triangular filaments that are united with the appendages at the base. Information on the habitat and phenology as well as notes on the taxonomic relationships with other congeners is also provided.
Redescription and neotype designation of Suphis fluviatilis Guignot, 1948 (Coleoptera: Dytiscoidea: Noteridae) and notes on other species of the genus
Authors: URCOLA JUAN I. , GUIMARÃES BRUNO A. C. , TORRES PATRICIA L. M. , FERY HANS , MICHAT MARIANO C.
Published: November 2023

Suphis fluviatilis Guignot, 1948 was described based on a single female specimen, and according to the author, the type was deposited in the Museum National d’Histoire Naturelle (Paris, France). However, the diagnostic features of the specimen deposited under this name and provided with the respective labels deviate considerably from those given by Guignot in his original description. It is shown that this specimen belongs to Suphis notaticollis Zimmermann, 1921, confirming previous observations by Luis Grosso in 1980. Thus, a neotype of S. fluviatilis is designated to avoid instability of the nomenclature by the impending synonymy of S. fluviatilis with S. notaticollis. Suphis fluviatilis is redescribed in detail, including illustrations of the main diagnostic characters. The species is compared with other Neotropical Suphis species, in particular with S. notaticollis. Additionally, the male genitalia of Suphis intermedius Régimbart, 1903 are described for the first time, and a first record from Paraguay is given.
Prismatic Jane Eyre
Authors: Reynolds Matthew , Claro Andrés , Drury Annmarie , Frank Mary , Gaudio Paola , Gould Rebecca Ruth , Habjan Jernej , Huang Yunte , Kelbert Eugenia , Kragh Ulrich Timme , Jain Abhishek , Klitgård Ida , Rychen Léa , Kütt Madli , Marques dos Santos Ana Teresa , Pazos-Alonso Cláudia , Philippou Eleni , Qasmiyeh Yousif M. , Sabiron Céline , Tahmasebian Kayvan , Pietro Vitali Giovanni
Published: November 2023

Jane Eyre, written by Charlotte Brontë and first published in 1847, has been translated more than six hundred times into over sixty languages. Prismatic Jane Eyre argues that we should see these many re-writings, not as simple replications of the novel, but as a release of its multiple interpretative possibilities: in other words, as a prism.

Prismatic Jane Eyre develops the theoretical ramifications of this idea, and reads Brontë’s novel in the light of them: together, the English text and the many translations form one vast entity, a multilingual world-work, spanning many times and places, from Cuba in 1850 to 21st-century China; from Calcutta to Bologna, Argentina to Iran. Co-written by many scholars, Prismatic Jane Eyre traces the receptions of the novel across cultures, showing why, when and where it has been translated (and no less significantly, not translated – as in Swahili), and exploring its global publishing history with digital maps and carousels of cover images. Above all, the co-authors read the translations and the English text closely, and together, showing in detail how the novel’s feminist power, its political complexities and its romantic appeal play out differently in different contexts and in the varied styles and idioms of individual translators. Tracking key words such as ‘passion’ and ‘plain’ across many languages via interactive visualisations and comparative analysis, Prismatic Jane Eyre opens a wholly new perspective on Brontë’s novel, and provides a model for the collaborative close-reading of world literature.

Prismatic Jane Eyre is a major intervention in translation and reception studies and world and comparative literature. It will also interest scholars of English literature, and readers of the Brontës.
4. Translating the French in the French Translations of Jane Eyre
Authors: Sabiron Céline
Published: November 2023

Following the concepts and theories developed by translation and reception specialists, this essay combines literary, linguistic, and translatological approaches in a study five French translators’ responses to Brontë’s use of French in Jane Eyre. Translation within the novel is presented as both necessary (for the English-speaking readership) and impossible in order to preserve the ‘effet de réel’, and also for cultural, ideological, and ontological reasons. However, Brontë’s pedagogical approach to textual deciphering is not translated into the French versions of her work, so that French readers are not educated into reading and producing textual meaning. Her vision of a multiple language system viewed as a continuum, her dream of freeing languages, that is Jane Eyre’s literary agenda, ends up lost in translation.
III. Locating the Translations
Authors: Reynolds Matthew
Published: November 2023

This chapter discusses the interactive digital maps: the General Map, World Map, Time Map and Covers Maps. It draws attention to the importance of cities for the novel’s publication history, and considers what sort of geographical space a translation occupies. It introduces the concept of an ‘act of translation’; that is, either the publication of a new translation or the re-publication of an existing translation in a different place. Surveying the geographical distribution of Jane Eyre translations, it shows that they do not spread out from the ‘centre’ in orderly ‘waves’, in line with world-system theory, but rather respond to the demands of more particular ‘significant geographies’ with their own competing centres. It goes on to discuss the relation between the world imagined in the novel and the world(s) in which the translations are located. While each translation imagines the world of the novel slightly differently, it is also the case that the world of the novel affects how the translations situate themselves in relation to it.
V. ‘Passion’ through Language(s)
Authors: Reynolds Matthew
Published: November 2023

This chapter develops a close reading of ‘passion’ in the text Brontë wrote and in multiple translations, presenting a series of instances in video animations and printed multilingual arrays (with back-translations). It demonstrates that repetitions of the word in English build to form an argument about its meaning, one with radical gender-political implications; and it shows how that argument morphs in different directions through translation.
14. Biblical Intertextuality in the French Jane Eyre
Authors: Rychen Léa
Published: November 2023

Biblical intertextuality is paramount to the understanding of Jane Eyre. But in the twenty-one different French translations, the web of intertextual references to the Christian Bible has suffered many changes. As the history of Christianity in France dramatically differs from that in England, so too does the place of the Biblical texts and language in the literary culture. A comparison of seven different translations, written between 1854 and 2008, shows that the French translators very often alter the significance of the Biblical allusions, hiding, distorting or cutting the Biblical verses altogether.
Vibration and noise reduction for building floor structures based on new composite material vibration isolation pads
Authors: Zhang Li
Published: November 2023

The frequent occurrence of geological disasters poses a significant threat to human life and the safety of property. To enhance the seismic performance and reduce noise in buildings, this study proposes the design of building floor structures with a new composite vibration isolation
pad. Carbon nanocoils/styrene-butadiene composites are utilized to create vibration reduction devices. Experimental results demonstrate that the compression set rates of carbon nanocoil composite rubber are 4.83% and 2.07% at filling amounts of 1% and 3%, respectively. Additionally, the compression
set rates of carbon nanotube composite rubber are 13.79% and 6.90%, respectively. Among these materials, styrene-butadiene exhibits the most significant performance improvement when combined with carbon nano coil. With an optimal layout of 25 devices, the floor dynamic amplification coefficient
can be reduced by 8.4% and the building floor noise can be reduced by approximately 75%. This optimization significantly reduces the dynamic response and also provides a certain level of noise reduction effect.
Preparation of functionalized polymer nanomaterials and application in renal injury
Authors: Liu Qin
Published: November 2023

Renal injury, which is a prevalent condition, significantly impacts the health of competitive wrestlers. However, there is a limited number of therapeutic methods and drugs available for its treatment. To tackle this issue, a renal targeted drug based on functionalized polymer nanoparticles
(FPNPs) is being studied. The primary methods in the preparation of FPNPs involve utilizing the thin film hydration technique to create nanoparticles and encapsulating the drug TP within them as a treatment for renal injury, thus forming TP-FPNPs. Subsequently, the renal targeting of TP-FPNPs
is analyzed using in vitro organ fluorescence imaging techniques. Furthermore, a renal IRI model is constructed to assess the pharmacokinetics of TP-FPNPs using the application method. The preparation results of TP-FPNPs reveal a hydrated particle size of approximately 90 nm, which
remains in the renal region for over 48 hours. Additionally, the concentration content surpasses that of other organs by more than threefold after 12 hours. Moreover, in the application results, TP-FPNPs continue to possess a concentration of 302.5 ng/g even after 48 hours post-injection.
Based on the aforementioned results, it can be concluded that TP-FPNPs exhibit specific targeting, biocompatibility, and an extended retention time. Thus, this study is expected to effectively achieve the effect of treating renal injury in martial arts athletes, establishing an experimental
foundation for its clinical treatment.
The role of nanoscale zero-valent iron (nZVI) in remediation of heavy metal contamination in groundwater overexploitation areas
Authors: Fang Yuan , Gao Shichang , Wu Lei , Wang Jing , Yang Chao , Tang Lijun , Su Pengwei , Li Qi
Published: November 2023

This study investigates the remediation of groundwater contaminated with heavy metals in overexploited areas using a modified approach involving the use of corn plant parts to produce biochar. The biochar was modified using a hydrothermal method, employing nanoscale zero-valent iron
(nZVI) material to create a composite material for adsorbing heavy metals from water bodies. Adsorption experiments were conducted on the presence of Cr, Cu, and Zn ions in the water. The experimental investigations focused on the dosage of adsorption materials, solution pH, and stability
of the adsorption material to validate the enhanced capability of the nanoscale zero-valent iron modified biochar composite (Fe-CBC-MO) for removing and adsorbing heavy metal ions (Cu, Cr, and Zn) from water. The results indicate that the adsorption capacity follows the sequence: Cr > Zn
> Cu. Increasing the adsorbent dosage provides more adsorption sites, thereby improving the removal efficiency of heavy metals from water bodies. Considering cost-effectiveness, an optimal dosage of 0.15 g was selected. Under alkaline conditions, Cu and Zn ions precipitated significantly,
leading to sustained high removal rates of heavy metals. Correspondingly, the rate constants were also relatively high. In acidic environments, the rate constant for Cr decreased significantly due to corrosion passivation. The composite material Fe-CBC-MO exhibited remarkable removal efficiency
for all three heavy metals (Cr, Cu, Zn), demonstrating a strong capability for remediating heavy metal pollution.
Preparation and application of amphiphilic polymer nanomaterials for ischemic injury
Authors: Li Jiayu , Xu Yili
Published: November 2023

With the increasing popularity of competitive sports, martial arts routines have attracted great attention. However, myocardial ischemic injury is one of the most common sports-related diseases in martial arts routines. In this study, γ-Fe2O3 nanoparticles
were used as a treatment for myocardial injury. The safety of these nanoparticles was determined by assessing apoptosis rates and reactive oxygen species levels in myocardial cells, as well as biochemical indicators such as lactate dehydrogenase and superoxide dismutase. The results showed
that the aforementioned indicators were normal, indicating that γ-Fe2O3 nanoparticles are safe for myocardial cells. Additionally, the application of γ-Fe2O3 nanoparticles to hypoxic environments significantly improved anti-hypoxia
ability, alleviated calcium overload in myocardial cells, and reduced intracellular reactive oxygen species content, thereby protecting myocardial cells from hypoxia damage. Therefore, this study provides an effective strategy for treating ischemic injury in martial arts athletes and establishes
an experimental foundation for the clinical management of myocardial ischemic injury.
3D modeling of the airflow and aerosol deposition in the existence of dust
Authors: Altwijri Omar , Bakhshwin Razan , Mirza Eraj Humayun , Algabri Yousif A. , Chatpun Surapong , Javed Ravish
Published: November 2023

Annually, more than two million deaths are caused due to the exposure of air pollution which cause damage to the lungs and the respiratory system. Topography, light-textured topsoil, drought, and desert climate make Saudi Arabia vulnerable to sand storms and dust. The study aims to examine the deposition of dust particles in the human airway and its relationship to asthma and investigate the possibility that the dust deposition would be changed with different particle size diameters. An idealized upper respiratory tract 3D model was constructed with computer-aided design software. Later a computational simulation was performed using computational fluid dynamics with 3 different sizes (0.03, 2, and 9 microns) of the dust particles to find out the change in airflow velocity and pressure. Our findings revealed that small size particles will travel more with less inertia, whereas bigger size particles will travel less but with higher inertia at airflow rates of 30 L/min. It was found that dust deposition in the respiratory system determines the probability of inhalation and total deposition in the alveoli greatly varies with particle diameter size. An idealized URT model replicate patient-specific URT geometry which helped in finding real-time airflow velocity and pressure of dust particles. Particles with smaller diameter are capable of 100% deposition and inhalation rate at the alveoli, whereas particles with bigger diameter tend to deposit less and with lower inhalation rates at the alveoli.
Improving Social Bot Detection Through Aid and Training
Authors: Kenny Ryan , Fischhoff Baruch , Davis Alex , Canfield Casey
Published: November 2023

Objective

We test the effects of three aids on individuals’ ability to detect social bots among Twitter personas: a bot indicator score, a training video, and a warning.

Background

Detecting social bots can prevent online deception. We use a simulated social media task to evaluate three aids.

Method

Lay participants judged whether each of 60 Twitter personas was a human or social bot in a simulated online environment, using agreement between three machine learning algorithms to estimate the probability of each persona being a bot. Experiment 1 compared a control group and two intervention groups, one provided a bot indicator score for each tweet; the other provided a warning about social bots. Experiment 2 compared a control group and two intervention groups, one receiving the bot indicator scores and the other a training video, focused on heuristics for identifying social bots.

Results

The bot indicator score intervention improved predictive performance and reduced overconfidence in both experiments. The training video was also effective, although somewhat less so. The warning had no effect. Participants rarely reported willingness to share content for a persona that they labeled as a bot, even when they agreed with it.

Conclusions

Informative interventions improved social bot detection; warning alone did not.

Application

We offer an experimental testbed and methodology that can be used to evaluate and refine interventions designed to reduce vulnerability to social bots. We show the value of two interventions that could be applied in many settings.
Happy anniversary? Reflections on Samuel Huntington's “clash” thesis at thirty
Authors: Haglund David G. , Singh Surajreet
Published: November 2023

This article takes a retrospective look at the controversial “clash-of-civilizations” thesis articulated by Samuel Huntington in the early 1990s. In some respects, the “pearl anniversary” of the thesis reveals it to have stood up reasonably well. If one notable aspect of the Huntingtonian prognosis was its skepticism about the prospects of enduring peace subsequent to the ending of the Cold War, then it could be remarked that the Harvard professor turned out to be prescient. But one can be right for the wrong reasons, and the argument of this article is that Huntington erred in imagining that “civilizational rallying” would develop into the preeminent feature of future global conflict. Specifically, Huntington erred in conflating the affective pull of “nationalism” with that of “civilizationalism.”
Reparations and Oil in the Cold War: British Perspectives on the Luxembourg Agreement of 1952
Authors: Siemens Daniel
Published: November 2023

This article analyses the British perspectives on the Luxembourg Reparations Agreement between Israel and the Federal Republic of Germany from 1952. Short-term economic interests were of central importance when it came to assessing the consequences of this deal for the United Kingdom. Her Majesty's Government welcomed West German reparations as a means of securing Israel's ability to pay for oil supplied by British companies, but at the same time saw them as a threat to its economic and political interests in the Middle East. British diplomats underestimated the long-term political value of the Luxembourg Agreement precisely because they read it verbatim. They recognized the reservations on both sides but did not expect that working relations between Israel and the Federal Republic would improve rapidly after the Agreement was ratified, limiting in turn the UK's political and economic room for manoeuvre in the region. By examining a hitherto little-noticed chapter of British foreign policy in the postwar years, the article foregrounds the commercial aspects of diplomacy in the early 1950s and contributes to a better understanding of international relations in the Cold War.
Driving Frequency Modulates Correlations Between Executive Functions and Driving Performance: A Driving Simulator Study
Authors: Lo Yu-Hui , Chiu Afee , Tseng Philip
Published: November 2023

Driving a car requires a complex combination of various cognitive functions (e.g., visual perception, motor control, decision making, and others), and deficits in any of these processes may compromise driving safety. Amongst these, executive functions such as inhibitory control, task switching, and decision-making are important, as they enable drivers to process information from their surroundings and respond appropriately to changing road conditions. Although previous research has focused on laboratory measures of individual executive functions, it remains unclear whether performance on such laboratory tests readily translates to actual on-the-road driving performance, especially since drivers’ skill levels can vary widely, based on their driving frequency. To this end, we divided 30 participants into two categories based on their driving frequency (i.e., daily commuter vs. weekend only drivers), and we used three well-known executive functioning tasks (the stop signal task, Iowa gambling task or IGT, and a task-switching test) to see whether scores on these tasks predicted such driving performances and behaviors such as braking time, lane-keeping, speed limit violations, and inter-vehicle distance (e.g., in a driving simulator). Participants went through a follow-lead-car scenario in the driving simulator for 20 minutes and then completed the three executive tasks. We found that stop signal reaction time (SSRT) best predicted driving performance, and remained predictive against driver distraction, as well as variabilities in driving frequency. The IGT predicted speed limit violations in high-frequency drivers, whereas task-switching cost predicted lane keeping performance in low-frequency drivers. Together, these results highlight the importance of driving frequency when considering correlates between executive functions and driving performance and behavior. They also imply that executive tasks better predict driving performance in low-frequency (or inexperienced) drivers, while driver temperament (i.e., impulsiveness as indicated by IGT) better predicted driving performance in high-frequency (or experienced) drivers.
Affordable Health Insurance Options for Small Business and Low-Wage Workers Remains Elusive: Experience With New Health Reimbursement Arrangements in New Jersey
Authors: Cantor Joel C. , Chou Jolene , Koller Margaret , Hempstead Katherine
Published: November 2023

Low-wage workers and those employed by small businesses are least likely to be offered health insurance coverage and they are over-represented among the uninsured. Two new forms of health reimbursement arrangements (HRAs) that allow employers to help fund individual market coverage for workers have been touted as breakthrough strategies to help fill this gap. Despite several years of experience and low adoption, little is known about employer understanding of or views about these HRA options. Consistent with other evidence, only 11.8% of New Jersey employers we surveyed offer or plan to offer either of the HRA options. Few respondents (18.5%) report familiarity with either option. Even among businesses that offer or plan to offer this form of HRA, under half (47.6%) say that they are familiar with them. Other reasons cited for not offering these options include broker advice and complexity. While more investigation is needed, these findings suggest that new strategies should be explored to fill the gap in health insurance for low-wage and small business employees.