bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating gait and speech dynamics methodologies for enhanced stuttering detection across diverse datasets
Authors: Reddappa Reddy Ravikiran , Gangadharaih Santhosh Kumar
Published: October 2024

Stuttering manifests as involuntary interruptions in the fluency of speech, often involving repetitions, prolongations, or blocks of sounds or syllables. These disruptions can significantly impact effective communication and psychosocial well-being. This research introduces a comprehensive system for speech impairment detection and gait analysis. Speech impairment, with a primary focus on stammer recognition, presents a multifaceted challenge in the field of speech processing. Stammers can manifest in various forms and detecting them accurately is a complex task. Our proposed methodology revolves around the development of StEnsembleNet, a neural network designed to learn spectral features at the frame level, enabling precise and efficient identification of speech impediments. Additionally, we extend our system's capabilities to the domain of gait analysis, leveraging a novel adaptive graph topology convolution network (AGT-ConvNet) for skeletal motion and visually enhanced topological learning to adapt to diverse visual environments and enhance the recognition of gait patterns. This research not only contributes to the field of speech therapy but also offers potential applications in healthcare and motion analysis.
A novel deep anomaly detection approach for intrusion detection in futurisitic network
Authors: Lakshminarayana Sai Krishna , Basarkod Prabhugoud I.
Published: October 2024

In an era where networks are increasingly heterogeneous and multi-domain, establishing robust security models to protect data and network infrastructure is becoming ever more complex. Traditional intrusion detection systems (IDS) often struggle with novel or variant attacks that fall outside predefined rule sets, resulting in significant detection challenges. This paper proposes a methodologically refined approach leveraging data-driven insights and statistically robust feature selection to enhance the training dataset. The study presents a long short-term memory-autoencoder (LSTM-AE) based learning model designed for multi-class anomaly detection. The model's novelty lies in its application of distance metrics to define distinct thresholds for varied attack classifications, a strategy that significantly amplifies detection precision. Experimental results validate the superior performance of the proposed system, achieving 94.82% accuracy rate, outperforming similar existing works. The study also proactively addresses common issues of class imbalance and skewed data representation in benchmark datasets by strategically training the model on normal traffic, enhancing its capability to generalize and identify anomalies effectively.
Deep feature synthesis approach using selective graph attention for replay attack voice spoofing detection
Authors: Palsapure Pranita Niraj , Rajeswari Rajeswari , Kempegowda Sandeep Kumar
Published: October 2024

As voice-based authentication becomes increasingly integrated into security frameworks, establishing effective defenses against voice spoofing, particularly replay attacks, is more crucial than ever. This paper presents a novel comprehensive framework for replay attack detection that leverages the integration of advanced spectral-temporal feature extraction and graph-based feature processing mechanisms. The proposed system presents the design of a waveform encoder and a novel temporal residual unit for spectral and temporal feature extraction in synchronous. Further, an approach of selective attention graph followed by multi-scale feature synthesis is employed to retain precise and spoof indicative feature vectors at the classification layer. The proposed method addresses the significant challenge of distinguishing genuine speech from replayed recordings. The validation of the proposed model is done on the ASVSpoof2019 dataset to demonstrate the efficacy of the proposed approach. The proposed system outperforms existing methods, achieving a lower equal error rate (EER) of 0.015 and a reduced tandem detection cost function (t-DCF) of 0.503. The comparative outcome exhibits the robustness of the method in identifying replay attacks.
Indonesian sentiment towards global economic recession in 2023 using optimized hyperparameters of support vector machine kernels
Authors: Maarif Dairatul , Aulia Hafizha Adinda , Kurniawan Andi
Published: October 2024

The potential for the 2023 global recession has troubled people worldwide, particularly in light of the COVID-19 pandemic. This study employs a sentiment analysis approach to examine how the Indonesian internet community, particularly on Twitter, perceives the topics related to the global economic recession. We collected 11,017 uploaded tweets that were analyzed using support vector machine classifier with linear, radial basis function (RBF), sigmoid, and polynomial kernel schemes. Furthermore, we optimized the classifiers with C, Gamma, and degree hyperparameters. Empirical evidence indicates a lack of preparedness to face a global recession, evidenced by most responses towards 2023 global recession exhibiting concerns about high inflation and economic instability. The finding also suggests that the optimized RBF is a superior modeling kernel relative to others. Collectively, these results provide insights with significant implications for sentiment analysis, natural language processing, and the study of behavioural economics.
A new mining and decoding framework to predict expression of opinion on social media emoji’s using machine learning models
Authors: Madderi Sivalingam Saravanan , Ponnaiyan Sarojam Smitha , Subramanian Malathi , Thulasingam Kalachelvi
Published: October 2024

This research work proposes a new framework mining and decoding (MindE) to predict the expression of opinion on social media emojis using machine learning (ML) models. Expression of opinion can be predicted with short messages on social media. This study used two groups of ML algorithms, convolutional neural network (CNN) ImageNet and CNN AlexNet classifier, and finally, applied the decision tree classifier to predict the type of expression. A recent dataset was taken from Kaggle, an open-source dataset consisting of 7476 rows of emojis for expression of opinion prediction. Accuracy was computed with a G power of 80%, and the experiment was repeated 20 times using both models. After the introduction of the proposed MindE framework, the performance of an expression of opinion prediction will be analyzed with accuracy level. The CNN ImageNet achieved an impressive 97.32% accuracy, whereas the CNN AlexNet algorithm reached only 85.98%. The independent sample T Test indicated a p-value of 0.001, which is below the significance level of 0.05. This suggests that the performance difference between the two ML algorithms is statistically significant. Consequently, the results strongly support the proposed framework “MindE” to predict the expression of opinion on social media emojis.
Monitoring and speed control of AC motor using PWM technique
Authors: Sudhakar Ambarapu , Kumari Popuri Rajani , Batakala Jeevanrao , Kumar Munuswamy Siva , Prakash Nelaturi Nanda , Kameswari Yeluripati Lalitha , Rajanna Bodapati Venkata , Bhavana Mukku
Published: October 2024

This study focuses on how to monitor and regulate the speed of an AC motor using pulse width modulation (PWM) technology. PWM signals regulate motor voltage and enable continuous monitoring of voltage, current, and speed in addition to speed control. Comparing this technology to conventional techniques yields considerable advantages like enhanced power and speed control. PWM-based speed control can be implemented using circuits specifically designed for motor control or microcontrollers. It has been confirmed that PWM-based control can regulate the target motor under a variety of operating conditions and that it is reliable and efficient. To boost production and efficiency, this change management technique can be applied in a variety of industries, including robots, HVAC systems, and industrial automation. The study results show the significance of PWM technology for monitoring and controlling the speed of AC motors, providing productive and affordable solutions to a range of enterprises and sectors.
Assessing transformer health through analysis of dissolved gases in cooling oil
Authors: Nisworo Sapto , Hasibuan Arnawan , Isa Muzamir , Nrartha I Made Ari , Jannah Misbahul , Muhammad Muhammad
Published: October 2024

Gases can form within the insulation system for various reasons while a transformer is in operation. If these gases are not promptly and properly managed, they can negatively impact the transformer's performance. Using the dissolved gas analysis (DGA) method to identify and assess the type and quantity of dissolved gases in transformer oil can uncover potential issues within the transformer. This information is crucial for guiding preventive maintenance and necessary repairs. Dissolved gas analysis testing was conducted by extracting transformer oil samples to identify signs of disturbances in the transformer based on the dissolved gas content. This research was conducted at the Paiton plant operations and maintenance services division. The condition of transformers was assessed by analyzing dissolved gases using the Rogers ratio method. Results indicate that the transformer at Paiton 9 is in good condition but overheating has occurred and requires treatment. Conversely, the transformers at Paiton 1 and 2 are in poor condition, showing signs of electrical faults and excessive heat. Despite several attempts to add inhibitors and conduct frequent testing, the transformers remained in poor condition, necessitating their replacement or repair.
A novel reverse and forward directional relaying scheme in six phase overhead transmission lines using adaptive neuro-fuzzy inference system
Authors: Kumar A. Naresh , Lingaswamy K , Ramesha M , Gururaj Bharathi , Kumar M. Suresh , Allamraju K. Viswanath
Published: October 2024

Recent power system is structurally difficult and is vulnerable to undesirable conditions like transmission faults. In this event of transmission line faults, exact fault zone detection enhances the restoration process, thus improving reliability of the complete power system. In order to solve the above problem, this paper presents an adaptive neuro-fuzzy inference system (ANFIS) based fault zone detector, which combines artificial neural network (ANN) and fuzzy logic technique (FLT) in six phase overhead transmission lines (SPOTL). To overcome the limitation of ANN and fuzzy expert system (FES) architectures and, the selection work has been formulated as an optimization method and solved using ANFIS. The inputs are the zero sequence component currents at the middle bus of the transmission line. The training data are extracted using discrete Fourier transform and collected, and then ANFIS is trained to identify the fault zone. The ANFIS based scheme reach setting has been checked for various types of faults, with a wide range of faults and transmission line parameters. Simulation study ensure that this method has a high reach setting, does not require the design of communication channel. Further, the ANFIS study shows that ANFIS is suitable for all type of faults. The ANFIS significantly outperforms other techniques proposed in the literature in terms of various evaluation metrics.
Lead-acid battery desulfation using a high-frequency pulse desulfator in standalone PV systems
Authors: El Filali Anas , Laadissi El Mehdi , Khalfi Jaouad , Zazi Malika
Published: October 2024

The work presented in this article contributes to the study of a standalone photovoltaic (PV) system with battery storage by creating an electronic board that allows for the recovery of the battery's capacity using pulse technology that uses high-energy pulses from the PV panel to break down and remove the sulfation buildup, which is a contributing factor in the failure of most lead-acid batteries. Different methods or treatments can be used to lessen the impact of sulfation or even get rid of it and achieve battery rejuvenation. Battery sulfation is a process in which sulfate crystals form on the plates of a lead-acid battery, impeding its ability to retain a charge, and decreasing the battery’s overall effectiveness. This process can happen due to various reasons, such as charging for a shorter time than required, charging for a longer period of time than required, or even not charging it for quite some time. Sulfation affects a battery’s lifespan and comes with adverse effects on its performance, though it can be prevented.
Performance analysis of CKF algorithm for battery SoC estimation with its aging effect
Authors: Ravali G. Geetha , Raju K. Narasimha
Published: October 2024

The penetration of electric vehicle (EV) in automobile market is very much dependent on the battery technology. Its size, weight, and cost are issues of concern. To effectively utilize the battery expertise, precise estimate of state of charge (SoC) is vital which greatly depends on the battery model. Current models lack consideration for variations in battery capacity over their lifespan. This paper develops a battery model which depicts the depletion of battery capacity with its life. Subsequently, this model has been utilized for estimation using advanced Kalman filtering (KF) algorithms. For the developed model, the design and effectiveness of the cubature Kalman filter (CKF) is applied as a proposed robust state-estimator for this problem. Moreover, a comparative analysis was undertaken with existing non-linear KFs based on performance metrics. The optimal choice of estimator is identified, through the results obtained from the Octave/MATLAB simulation. The outcomes show CKF algorithm based SoC estimator is superior to others in ensuring high accuracy, strong robustness even under changes in initial conditions (i.e., initial SoC, process and sensor noise levels), system's ability to converge quickly while ensuring that the maximum error in state of charge (SoC) estimation remains within 1% after convergence.
PM flux-reversal machine for wind energy application
Authors: Bharathi Manne , Prasanth I. S. N. V. R. , Devi Tellapati Anuradha , Kumar Malligunta Kiran , Kumar D. Ravi , Reddy Ch. Rami
Published: October 2024

Currently, attempts are being made to harness wind energy by means of non-conventional electrical machines such as flux reversal machines (FRM). The main advantage of the FRM, when compared with existing synchronous generators (SG), is that all the active parts like PMs and armature windings are mounted on the stator part, whereas leaving the rotor has simple and robust. In this study, the three-phase 6/8-pole flux reversal generators (FRGs) are selected, sized, designed, and analyzed using finite element analysis (FEA). The working principle, choice of stator and rotor poles, and machine design dimensions evaluation (analytical sizing procedure), as well as relevant performance details are discussed in this paper. This study is used to analyze, a popular 6/8 pole, 0.8 kW, 50 Hz, and examine the suitability for the wind energy applications in terms of torque and power density, torque ripple, power factor, and cogging torque under 2D finite element analysis (FEA). The analysis provides an update on the current state-of-the-art and as well as future thrust areas of research necessary to bridge the gap on what is still desired for the practical application of FRMs for wind energy.
Speed control analysis of voltage source inverter fed brushless DC motor
Authors: Sudhakar Ambarapu , Rajanna Bodapati Venkata , Naidu Madhireddi Bhaskara , Kumar Munuswamy Siva , Nandaprakash Nelaturi , Bhavana Mukku , Kameswari Yeluripati Lalitha
Published: October 2024

The brushless DC (BLDC) motor requires to be controlled at the preferred speed in order to operate. A brushless DC motor's speed can be adjusted by adjusting the input voltage. In general, speed increases with voltage. The application of a Luo converter is made to satisfy the load demand, get rid of output voltage ripples, and reduce parasitic effects. The magnitude of stator input voltage to BLDC motor is controlled through the pulses applied by ATMEGA 328P micro controller to voltage source Inverter which in turn controls the magnitude of speed of BLDC motor. The position of the brushless DC (BLDC) motor is continually monitored by infrared sensors, which are then processed by a PIC16F872 microcontroller to produce the necessary pulses for BLDC motor speed regulation. The BLDC motor speed can be regulated by the pulses applied to voltage source inverter through the IR sensors placed at the motor. The outcomes of controlling the speed of a BLDC motor using voltage variation values have been shown.
Improved convergence speed using hybrid AI for TD EM modeling in power electronics
Authors: Zitouna Bessem , Tlig Mohamed , Hedia Sassia , Slama Jaleleddine Ben Hadj
Published: October 2024

This paper presents a time-domain (TD) approach based on hybrid artificial intelligence (AI) to speed up convergence of radiating sources characterization in power electronics. To obtain a representative equivalent model of device under test, a dedicated optimization framework has been developed in TD using a particle swarm optimization (PSO) toolbox. In addition, for elementary feature extraction, a pseudo-Zernike moment invariant (PZMI) descriptor has been defined. Finally, with the aim of identifying remaining dipole parameters and classification problems, artificial neural networks (ANN) have been implemented. A coupling of TD electromagnetic (EM) inverse method based on a PSO algorithm along with PZMI and ANN application has been investigated and applied to a real test case. Experimental measurements have been conducted using the near-field scanning technique above an alternating current (AC)/direct current (DC) converter. Obtained results are discussed based on a comparison between measured and estimated EM field distributions using both the hybrid AI method and a conventional TD inverse method based on genetic algorithms (GA) only. This study confirms that, compared with those given by non-hybrid method, the proposed algorithm further improves the convergence speed while maintaining high accuracy. Hence, the present work offers an impressive perspective for radiated emissions characterization using hybrid AI algorithms.
Solar cell based power-bank prototype as a media to increase students' scientific literacy
Authors: Mayub Afrizal , Delima Ega Marita , Nursa’adah Euis , Fahmizal Fahmizal , Lazfihma Lazfihma
Published: October 2024

This research aims to i) implement the solar cell based power-bank prototype for learning media; ii) describe the feasibility of the solar cell-based power-bank prototype for learning; and iii) describe students' scientific literacy. This research method uses the analysis, design, development, implementation, and evaluation (ADDIE) research and development model. The subjects of this research are class IX students and science teachers at SMPN 4 Central Bengkulu. Data collection techniques include questionnaires, tests, and interviews. The data analysis technique uses N-gain analysis, percentages, and the Aiken's V formula. The research results show that the media developed is valid with an Aiken index value of 0.98 > the minimum standard Aiken' V of 0.92 and can increase students' scientific literacy based on an N-gain of 0.92. 0.71, this can be seen in the dimensions of context and content based on N-gain of 0.73 and 0.69, while the dimensions of attitude, curiosity, respect, and willingness, reflect the respective percentages of 79.62%, 78.86%, 78.89%, 75.60%. Based on the results of the hypothesis test, the sig value is obtained. (2 tailed) 0.000 < 0.05 which means Ha is accepted and Ho is rejected, which means the solar cell-based renewable energy media used in science learning influences the increase in students' scientific literacy.
Identificação e intervenção precoce de primeiro episódio psicótico em cenários não especializados
Authors: Araújo Jéssica Morais , Corrêa-Oliveira Gabriel Elias , Del-Ben Cristina Marta
Published: October 2024

The diagnosis and early intervention of a first episode psychosis is directly related to its prognosis. It is the initial phase of a psychotic disorder, which is a severe mental illness characterized by delusions, hallucinations and/or disorganized behaviour or speech. Commonly, the first assistance to these patients are done by a non-psychiatrist in an emergency or primary care setting. The practitioners must be able to identify and properly manage this condition, without delaying the diagnosis, screening and initiation of the proper treatment.
Avaliação de risco suicida
Authors: Castro Raphael Antonio Medeiros de , Del-Ben Cristina Marta
Published: October 2024

Suicide is a public health issue worldwide that has a significant socioeconomic impact. The identification and prevention of suicide attempts are responsibility of all physicians. Therefore, this article aims to clarify aspects regarding suicide risk, including how to assess and how to determine the appropriate course of treatment in each scenario.
Tendências e tensões no discurso acadêmico: uma análise de trabalhos comparativos de pós-graduação sobre literaturas francófonas
Authors: Andrade Antonio , Pillar Eduarda Hoffling Murat do
Published: October 2024

This article aims to understand the discursive construction of graduate theses and dissertations from universities from the State of Rio de Janeiro that establish a comparison between French-language literature and some cultural, political or social issue in Brazil. From a documental research, centered in the enunciative discourse analysis, the study discusses structures of domination in the sphere of academic discourse and highlight two points: the transgressions and maintenance of elements pertaining to academic genres, as well as the presence, suppression or mitigation of controversy in the argumentative construction of the texts (Negroni; Gelbes, 2005). In the second part, two theses are analyzed in detail, in an attempt to highlight different types of development of the comparative perspective in the context of the world domains of the literary field (Casanova, 2002), and to discuss whether such relations focus critically on the impact of French cultural hegemony on Brazil, or follow a neutralizing or mitigating tendency, characteristic of traditional literary criticism. We identified that the works mitigate or ignore important tensions that could subvert the assuaging pattern of the traditional academic discourse and maintain a comparativist approachcentered on the debate of mutual influences between countries, without evidencing the cultural dominations in course on the literary field.
“Tem um mentiroso aqui!”: configurações erísticas do debate televisionado entre candidatos à presidência do Brasil em 2022
Authors: Bezerra Isabelle Fonseca , Mazzola Renan
Published: October 2024

A corrida presidencial de 2022 no Brasil foi marcada por uma forte polarização. Partindo disso, o presente artigo busca identificar e descrever as estratégias erísticas mobilizadas nas interações do debate televisionado da Band no segundo turno das eleições de 2022, mais especificamente a utilização dos argumentos do tipo ad hominem e ad personam. Esta pesquisa insere-se nos campos de retórica e argumentação, com enfoque nos autores Aristóteles (2005), Schopenhauer (2009), Mateus (2018) e Amossy (2020). Como metodologia, o artigo possui caráter bibliográfico-documental, de natureza descritiva e explicativa. Por fim, os resultados das análises apontam para o emprego frequente, nesse debate, dos ataques ad hominem e ad personam, com o objetivo de descredibilizar o adversário por meio de estratégias diversas, como o recurso aos dados, a aproximação a atos condenáveis, o manejo estratégico do discurso relatado, entre outros procedimentos, revelando uma variedade de diferentes maneiras de realizar o ataque pessoal para além do que foi postulado por Schopenhauer em seu Tratado sobre a Erística (2009). Dessa forma, foi exposta uma interação fortemente adversarial e polarizada em torno de convicções pré-estabelecidas, sendo esses os elementos erísticos que configuraram, de um modo geral, os debates de 2022.
The comparatist fervor. Transfers, contagions and influences in history and social sciences
Authors: Ríos Gordillo Carlos Alberto
Published: October 2024

How do scientific research methods circulate?1 Why do they acquire, at a given moment, such dynamism and fecundity in various disciplines? How did the comparative fervor catch on in the social sciences of the 19th and 20th centuries, resulting in comparative history and global history in the Annales project? The field of transfers through which the comparative method circulated between Victorian anthropology, Durkheimian sociology and the linguistics associated with it and history, through the pen of French-speaking medievalists, explains the dynamism of transmissions and contagions, of crossed, filtered or direct influences. This interplay of exchanges between disciplines, authors and books represents a moment in the history of the comparative method, in which it was considered a paradigm of renewal in the disciplines in which it was practiced, as well as for the social sciences of its time.

Within the French methodological tradition, the relations between comparative history and global history are close. The scales of comparison make it possible to characterize civilizations, societies and economies, and to measure their dimensions in different times and spaces. But the latter corresponds to differences of social milieu and historical peculiarities, which are an original innovation, the result of historians’ borrowings from and rejections of other social scientists. In this comparative fervour the games of intellectual exchange defined comparative history as the history of civilizations considered in the long term.
7. Scènes éphémères à l’épreuve du virtuel (XVe-XVIe s.)
Authors: Doudet Estelle , Wawrzyniak Natalia
Published: October 2024

Dans la plupart des pays européens, avant la seconde moitié du XVIe siècle, le spectacle dramatique s’est joué sans théâtre ; les performances avaient lieu dans des espaces urbains variés, accueillant des espaces scéniques adaptés aux occasions de représentation. La reconstruction en réalité virtuelle de ces scènes occasionnelles et éphémères, tréteaux ou aires de jeu entourées de gradins, soulève des questions différentes de la restitution 3D de bâtiments théâtraux car les archives sur ces constructions ponctuelles sont souvent lacunaires et rarement étudiées. Dès lors, que peut-on reconstruire en réalité virtuelle et pour quoi faire ? L’article montre comment ces questions de recherche peuvent nourrir les formations pédagogiques, à travers l’exemple des spectacles des XVe et XVIe siècles remis en scène par les étudiants de l’Atelier de recherche créative en histoire des arts du spectacle (ARCHAS, Université de Lausanne).

In most European countries, before the second half of the sixteenth century, dramatic performances took place without theatres; performances were hosted in various urban spaces transformed into stages suitable for the occasion. The virtual reconstruction of these occasional and ephemeral scenes, stages, or playing areas surrounded by bleachers, raises different questions from those emerging from the 3D restoration of theatrical buildings because archival traces of these temporary constructions are often incomplete and seldom studied. Therefore, what can be reconstructed in virtual reality and for what purpose? The article demonstrates how these research questions can enrich educational programs, through the example of the spectacles of the fifteenth and sixteenth centuries restaged by students of the Creative Research Workshop in the History of Performing Arts (ARCHAS, University of Lausanne).
9. Entretien avec Sandrine Dubouilh et Nicolas Patin : « Confronter nos savoirs »
Authors: Dubouilh Sandrine , Patin Nicolas
Published: October 2024

Lors du colloque Repenser les lieux de spectacle de la première modernité (Bordeaux, 2022), l’historien Nicolas Patin a animé, avec la chercheuse spécialiste de scénographie et d’architecture théâtrale, Sandrine Dubouilh, une session de « gameplay historique », dans le cadre du projet pédagogique Montaigne in Game. Deux espaces de spectacle ont donné lieu à des échanges entre les deux chercheurs et le public : le théâtre de Dionysos d’Athènes dans la Grèce classique de Assassin’s Creed Odyssey (Ubisoft, 2018) et l’Alhambra Music Hall de Londres de 1868 dans Assassin’s Creed : Syndicate (Ubisoft, 2015). Cet entretien est l’occasion de revenir sur les apports et les limites de cette expérience un peu différente (et rafraichissante) de la recherche et de la pédagogie.

As part of the Montaigne in Game educational project, historian Nicolas Patin and theatrical architecture and scenography professor Sandrine Dubouilh, led a ‘historical gameplay’ session at Repenser les lieux de spectacle de la première modernité conference (Bordeaux, 2022). Two performance spaces provided the opportunity for dialogue between the two researchers and the audience: the Theatre of Dionysus in Classical Athens from Assassin's Creed Odyssey (Ubisoft, 2018) and the Alhambra Music Hall in London in 1868 from Assassin's Creed: Syndicate (Ubisoft, 2015). This conversation is an opportunity to look back at the contributions and limitations of this non-traditional (and refreshing!) experience of research and pedagogy.
10. Exposition virtuelle
Authors: de Sédouy Louise
Published: October 2024

Bordeaux et ses théâtres virtuels est une exposition qui propose de découvrir une quinzaine de projets de lieux de spectacle bordelais, de la fin du XVIIIe siècle au début du XXe. Ce parcours est l’occasion d’interroger des projets oubliés qui n’ont pas été construits et témoignent des envies du passé.

Bordeaux et ses théâtres virtuels is an exhibition that shows more than a dozen performance venues projected in Bordeaux between the end of the eighteenth century and the beginning of the twentieth. This exhibit interrogates the value of forgotten projects and provides a window into architectural dreams of the past.
12. Zones de conflit
Authors: Connors Logan J.
Published: October 2024

Cet article décrit le rôle d’une expérience théâtrale virtuelle dans la création et l’évaluation d’expériences théâtrales réelles, en particulier dans les lieux à forte présence militaire pendant la seconde moitié du XVIIIe siècle. Dans une première partie, un panorama de plusieurs initiatives de création et de construction théâtrales dans les villes militarisées de France, en province et dans les colonies, permet de montrer l’ampleur des relations militaires-théâtrales à cette époque. Dans une seconde partie, on propose une étude de cas pour mieux comprendre les contours humains et expérientiels de ces initiatives théâtrales. Il s’agit d’une analyse de la ville de Brest, probablement la ville la plus militarisée de l’espace Atlantique francophone au XVIIIe siècle. Nous espérons expliquer comment la virtualisation du théâtre et de ses effets a influencé de véritables décisions concernant les fonds gouvernementaux, la localisation des nouveaux lieux de spectacle, l’urbanisation et l’embellissement des centres-villes ainsi que les jugements critiques envers ces environnements de performance.

This article describes the role of a virtual theatrical experience in the creation and evaluation of real theatrical experiences and, in particular, in places of strong military presence during the second half of the eighteenth century. Provided in the first part is an overview of several initiatives of theatrical creation and construction in militarized cities of provincial and colonial France with the aim of showing the extent of military-theatrical relations at the time. In a second part, a case study of theatre’s development in the city of Brest – possibly the most militarized place in the eighteenth-century French-speaking Atlantic – is proposed to better understand the human and experiential contours of these theatrical initiatives. With an analysis of the justifications and critiques of military presence in theatre, the goal is to explain how mental virtualizations of theater and its effects influenced real decisions about government funds, the location of new performance venues, urbanization, and the beautification of city centers as well as critical judgments towards these performance environments.
14. Entretien avec Olivier Aubert et Françoise Rubellin. « Comme de la pâte à modeler »
Authors: Beaucé Pauline , Leichman Jeffrey M. , Aubert Olivier , Rubellin Françoise
Published: October 2024

Cet entretien a pour objectif de contextualiser des questions qui parcourent en filigrane plusieurs des contributions présentées dans le volume Nouvelles études sur les lieux de spectacle de la première modernité, consacré au renouvellement des études sur lieux de spectacle du passé. En conversation avec les éditeurs du volume, Olivier Aubert, chercheur en informatique, et Françoise Rubellin, professeure de littérature française du XVIIIe siècle, interroge la place que tiennent les humanités numériques dans les travaux en littérature et en histoire du théâtre (bases de données, modélisations, réalité virtuelle, réflexions théoriques…) et abordent certains enjeux qui concernent plus largement la communauté de la recherche en sciences humaines.

The aim of this discussion is to provide a context for questions that run through several of the contributions presented in the volume Nouvelles études sur les lieux de spectacle de la prmière modernité, devoted to the renewal of studies of past performance spaces. In conversation with the editors, Olivier Aubert, a researcher in computer science, and Françoise Rubellin, a professor of eighteenth-century French literature, reflect on the role played by the digital humanities in work on literature and the history of theatre (databases, 3D modelling, virtual reality, theoretical considerations, etc.) and discuss issues of broad concern to the contemporary humanities research community.
Opportunities and Barriers for Skillful Subseasonal Prediction of East Asian Summer Precipitation
Authors: Liu Fei , Zhou Jiahui , Wang Bin , Leung Jeremy Cheuk-Hin , Chen Deliang , Lin Zhongda , Kang In-Sik , Chao Qingchen , Ke Zongjian , Fan Ke , Liu Boqi , Huang Gang , Hsu Pang-chi , Dong Wenjie
Published: October 2024

Accurate subseasonal (2–8 weeks) prediction of monsoon precipitation is crucial for mitigating flood and heatwave disasters caused by intraseasonal variability (ISV). However, current state-of-the-art subseasonal-to-seasonal (S2S) models have limited prediction skills beyond 1 week when predicting weekly precipitation. Our findings suggest that predictability primarily arises from strong ISV events, and the prediction skills for ISV events depend on the propagation stability of preceding signals, regardless of models. This allows us to identify opportunities and barriers (OBs) within S2S models, clarifying what the models can and cannot achieve in ISV event prediction. Focusing on the complex East Asian summer monsoon (EASM), we discover that stable propagation of Eurasian and tropical atmospheric wave trains toward East Asia serves as an opportunity. This opportunity offers a 1-week leading prediction skill of up to 0.85 and skillful prediction up to 13 days ahead for 43% of all ISV events. However, the Tibetan Plateau barrier highlights the limitation of EASM predictability. Identifying these OBs will help us gain confidence in making more accurate subseasonal prediction.
A Slower North Equatorial Countercurrent but Faster Equatorial Undercurrent in a Warming Climate
Authors: Li Zhiyuan , Fedorov Alexey V.
Published: October 2024

We analyze century-end projections for the tropical Pacific upper-ocean currents simulated within phase 6 of the Coupled Model Intercomparison Project (CMIP6) under global warming. We find that while the intensity of precipitation within the intertropical convergence zone (ITCZ) increases, the ITCZ also shifts toward the equator and broadens, which reduces wind stress curl north of the equator. Consequently, the North Equatorial Countercurrent (NECC) shifts equatorward, following the ITCZ, and weakens, despite the more intense ITCZ. The strength of the North Equatorial Current (NEC) and the South Equatorial Current (SEC) also decreases due to the weakening of the Walker circulation and the corresponding wind stress. However, despite the weaker winds, the Equatorial Undercurrent (EUC) intensifies as it shoals due to stronger vertical stratification induced by surface warming. Furthermore, we find a slightly stronger zonal pressure gradient along the core of the EUC, instead of a weaker one expected from weaker wind stress and sea surface height (SSH) gradient along the equator. Ultimately, we suggest that the reduced vertical friction, driven by enhanced ocean stratification and a higher Richardson number, is essential for the accelerated EUC. These intricate balances control future changes in equatorial currents, and the uncertainties of projected changes need to be further examined.
The Moderating Role of Affective Polarization on Party Cues: The Case of the Prostitution Ban
Authors: Otero-Felipe Patricia , Antonio Rodríguez-Zepeda Juan , Sánchez-Ferrer Leonardo
Published: October 2024

Affective polarization is a recent yet widespread phenomenon in democracies that significantly impacts various aspects of politics. In this paper, we argue that it can also shape citizens’ political beliefs through party cues. Using a panel survey experiment in Spain, we examine the extent to which partisan signals influence citizens’ attitudes toward a non-party- branded issue, specifically the ban on prostitution, and how affective polarization moderates this effect. Our results underscore the role of affective polarization in moderating the influence of partisan cues, particularly among highly polarized individuals. These findings highlight the capacity of affective polarization not only to deepen political divisions but also to expand the scope of partisan influence to non-politicized and neutral issues, offering new insights into its potential impact on attitude formation and decision-making.
Mitigating and minimising at-home illness-related stress of well-siblings through school support
Authors: Fernandes Marianne , Watson Kevin , Lennox Sandra , Forlin Chris
Published: October 2024

Living with a chronic health condition in the home can have a debilitating effect on the psychosocial and psychoaffective wellbeing of the entire family. This is particularly the case for healthy school aged siblings. This research investigated the perceptions and experiences of at-school support for well-siblings to evaluate its effectiveness in mitigating and minimising the at-home illness-related stress effect. Seven siblings (both primary and secondary age) whose brothers had received treatment for a chronic illness (e.g. cancer) were interviewed, as were their mothers, six schoolteachers, and two principals. Responses were analysed thematically, and the findings revealed that the chronic illness of a sibling bears strongly on how well-siblings feel about themselves: their very identity is challenged; and they lose their sense of belonging, worth, and self. Findings identified that inconsistencies in at-school support are linked with a lack of an overarching mandate for support, emphasising the need for urgent remediation in policy development and process reform.
Social branding for health promotion against non-communicable diseases in Maharashtra, India
Authors: Rajashekhar M , Sharma Radhika , Raut Abhishek V , Kalantri Ashwini , Gupta Subodh S ,   the VCaN Collaboration Team
Published: October 2024

Introduction:

The burden of non-communicable diseases (NCDs) is a major challenge for countries, regardless of their level of development. Social branding is an emerging approach to health promotion for NCD prevention. In this paper, the process of social branding is documented as a case study to help researchers develop similar kinds of interventions in the settings in which they work.

Methods:

The process of developing a social brand is documented through conversations with the project team, observations in the field, interaction with community local members, and information gathered through photographs, videos and newspaper clippings.

Results:

The social brand focused upon in this study was named the Aarogyachi Vaari (Health Pilgrimage) inspired by the Pandrapur Wari, a religious pilgrimage undertaken in the state of Maharashtra, India. Various stakeholders from self-help groups, panchayat raj institutions and schools from the local village collaborated successfully to implement the health event in a manner similar to the way in which diverse religious groups come together for the Pandrapur Wari religious pilgrimage. The Aarogyachi Vaari took the form of a strategically planned health event consisting of various health promotion stalls, many developed by local villagers themselves. The organisation of the event was aided by resource mobilisation within the local community.

Discussion:

Social branding can be an effective tool for health promotion in community settings. Studying people’s cultural preferences and what makes them feel connected and excited can lay the foundations for the creation of a social brand that reflects their choices and helps them take up healthy behaviours on their own. It is possible to mobilise a community for health through social branding that is culturally relevant and connected to the interests and priorities of local people.
Introduction to a Special Issue: Social Europe: The Changing Contours of Transnational Employment Relations in the European Union
Authors: Erne Roland , Hauptmeier Marco , Pulignano Valeria , Turnbull Peter
Published: October 2024

Employment relations in Europe today differ from how they were prior to the 2008 financial crisis and the COVID-19 pandemic, as key terms and conditions (e.g., wages) and sectors of economic activity (e.g., platform work and the green economy) are now subject to direct political intervention by the European institutions. Transnational (horizontal) competition within the Single European Market has long provided a context for national employment relations in Europe, and various national institutions impacted workers’ rights and conditions of employment. Under the new economic governance (NEG) regime triggered by the financial crisis, political (vertical) intervention in employment relations created strong pressure toward the commodification of labor. The COVID pandemic involved policymaking in the opposite (decommodifying) direction. That said, and as the articles in this special issue clearly demonstrate, commodifying pressures are still strong, and the full realization of Social Europe is arguably as elusive as ever.
The Global and Local Patterns of Reading-Related Cognitive and Ecological Variables in Chinese First-Grade Children: A Cross-Sectional Network Analysis
Authors: Wei Ziqian , Wang Lei , Xu Zhengye , Luo Lirong , Zhang Xinyong , Li Ning , Liu Duo
Published: October 2024

In the current study, we tested a network model of reading difficulty by using state-of-the-art psychological network analysis. Four hundred and fifty-three Chinese first-grade children (about 38% female, mean age = 7.00, SD = 0.41) were divided into good ( n = 154), competent ( n = 147), and struggling readers ( n = 152) based on their scores of Chinese character reading. The Extended Bayesian Information Criterion graphical lasso (EBICglasso) method was applied to estimate cross-sectional networks for the three groups. Each network included four cognitive nodes (homophone awareness, morphological structure awareness, phonological awareness, and vocabulary) and two ecological nodes (family socioeconomic status and the number of books at home). Chronological age and nonverbal intelligence were also included in the estimated networks. The global (i.e., global structure and global connectivity) and local patterns (i.e., the most important edges and nodes) in each network were reported. The network comparison results showed that global connectivity was significantly lower among struggling readers than for good readers, implying that a holistic impairment of bidirectional connections among multiple variables relates to the difficulty in learning to read. The theoretical and empirical implications and the significance of applying the network approach to reading research are discussed.
Decision trees for determining the fate of laboratory animals
Authors: Reshetnykov Myhailo , Stumm Karen , Zwick Michael , Baumgart Jan
Published: October 2024

Facilities involved in laboratory animal research often face ethical challenges such as: what should I do with the animals that are no longer suitable for experimental purposes? One of the common answers to this question is to kill them. And while numerous scientifically justifiable reasons exist for killing laboratory animals, we must not overlook our ethical responsibility towards these sentient beings. Animal facility managers and scientists frequently find themselves in a moral dilemma, torn between furthering their research and addressing the well-being of experimental animals required for their studies. We elaborated a concept consisting of six decision trees and recommendations for making informed decisions about the need to kill laboratory animals in research facilities, considering legal and ethical considerations. The concept is based on the German regulatory perspective. However, the measures and decisions for animal welfare can be implemented in all laboratory animal facilities. These recommendations suggest several courses of action, including implementing consistent breeding plans, exploring alternative uses, reassigning surplus animals and their organs, and establishing appropriate housing capacity limits that ensure species-appropriate care. We encourage scientists and animal facility managers to develop and implement decision-making frameworks and procedures tailored to their specific facilities, in the hope that this work will promote a thoughtful and responsible approach to the complex challenges associated with the killing of laboratory animals, advancing scientific progress and the humane treatment of these animals.
The Cue-Response Mental Link: Its Critical Role in the Downregulation of Disgust by Perspective Taking Implementation Intention
Authors: Gomez Patrick
Published: October 2024

Implementation intentions are if-then plans that create a mental link between a situational cue and a goal-directed response that people can form to help them achieve emotion regulation goals more effectively. The main goal of this study was to determine if forming the goal intention to not get disgusted together with a perspective taking implementation intention is more effective than forming the goal intention to not get disgusted that spells out the same perspective taking strategy but without linking it to the cue. Eighty-six female participants viewed disgusting, neutral, and pleasant pictures under four instructions: no emotion regulation instructions (CG), the goal intention to not get disgusted (GI), this goal intention furnished with the perspective taking regulation strategy (GI-PT), and this goal intention in tandem with the perspective taking implementation intention (PT-II). Compared with CG, GI, and GI-PT participants, PT-II participants showed a significantly larger decrease in disgust when seeing the disgusting pictures. This effect remained constant across repeated exposure to the critical contents and was larger among individuals who did not consciously try to reappraise the disgusting pictures than among individuals who consciously tried to reappraise them. Valence rating, arousal rating, and sympathetic activity did not significantly differ between conditions. We conclude that it is the if(situational cue)-then(goal-directed response) link created by forming the perspective taking implementation intention that accounts for the positive effect on disgust and not simply the information about the perspective taking behavior to adopt.