bluuebunny/crossref_metadata_2025 huggingface dataset:
A systematic review and meta-analysis of mixed reality in vocational education and training: examining behavioral, cognitive, and affective training outcomes and possible moderators
Authors: Bödding Rabea , Schriek Simon A. , Maier Günter W.
Published: February 2025

Mixed Reality (MR), including virtual and augmented reality, is increasingly implemented for Vocational Education and Trainings (VETs), prompting research to establish their effectiveness in professional settings. This paper systematizes this research for behavioral, cognitive, and affective training outcomes respectively, while investigating the role of the training technology, content and context. The systematic literature review covers k = 53 studies, followed by a synthesis of the results through three-level meta-analyses with exploratory moderator analyses. When compared to control groups, there are significant positive effects for the use of MR in VETs for behavioral (d = 0.40), cognitive (d = 0.84), and affective training outcomes (d = 0.65). These effects remained comparable when considering the subset of studies with equal training contents (d

behavioral
 = 0.40, d

cognitive
 = 0.68, d

affective
 = 0.71) but not when considering the subsets where two MR conditions were compared (d

behavioral
 = 0.04, d

cognitive
 = −0.31, d

affective
 = −0.51). Furthermore, results indicate that within MR VETs behavioral (d = 1.79), cognitive, (d = 1.29), and affective (d = 1.31) training outcomes improve from pre-to-post-intervention, but results at follow-up were more ambivalent. The subsequently conducted moderator analyses highlighted that the effectiveness of MR VETs is mostly independent of the investigated technological, content, and context features. Overall, these results underline the promising effects of MR training for different kinds of training outcomes but also pointed to a lack of comparative research which implements and compares instructional features to support active knowledge construction and investigates the interaction of immersive technologies with instructional methods.
Models for formal methods and tools: the case of railway systems
Authors: ter Beek M. H.
Published: February 2025

Formal methods and tools are successfully applied to the development of safety-critical systems for decades now, in particular in the transport domain, without a single technique or tool emerging as the dominant solution for system design. Formal methods are highly recommended by the existing safety standards in the railway industry, but railway engineers typically lack the knowledge to transform their semi-formal models into a formal model, with a precise semantics, that can serve as input to formal methods tools. We share the results of performing empirical studies in the field, including usability analyses of formal methods tools involving railway practitioners. We discuss, in particular with respect to railway systems and their modelling, our experiences in applying formal methods and tools to a variety of case studies, for which we interacted with a number of companies from the railway domain. We report on lessons learned from these experiences and provide pointers to steer future research towards facilitating further synergies between researchers and developers of formal methods and tools on the one hand and practitioners from the railway industry on the other.
Drop-Weight Impact of Composite Laminates: Modelling the Effect of a Round-Nosed Versus a Flat-Ended Impactor
Authors: Ding Yuzhe , Johnson Michael S. , Liu Jun , Dear James , Li Jiaqi , Liu Haibao , Kinloch Anthony J. , Dear John P.
Published: February 2025

The present study investigates the effect of the impactor geometry on the impact performance, at relatively high impact energies, of carbon fibre-reinforced polymer (CFRP) laminates with a cross-ply configuration of [02/902], which were manufactured using unidirectional (UD) carbon-fibre epoxy-matrix plies. Drop-weight impact tests were performed using both round-nosed and flat-ended rigid impactors. White light interferometry (WLI), ultrasonic C-scan and scanning electron microscopy (SEM) were employed to assess the relationship between the indentation profile, the delamination footprint and the fracture morphology along the fracture plane. This study focusses on the coupling between the extent of indentation, the loading responses and the associated damage caused in the CFRP. This damage involved both intralaminar damage, including matrix cracking and fibre-kinking and fracture, and interlaminar, i.e. delamination, damage. This paper studies in more detail the finding that the flat-ended impactor only caused significant damage to the CFRP panel when an impact energy of 25 J and above was attained, which was previously observed by Y. Ding. J. Liu, Z.E.C. Hall. R.A. Brooks, H. Liu, A.J. Kinloch and J.P. Dear, “Damage and energy absorption behaviour of composite laminates under impact loading using different impactor geometries”, Composite Structures 321 (2023) 117259. At an impact energy of 25 J, a compressive kink-band fracture plane occurred around the periphery of the flat-ended impactor near the front surface of the laminate. A previously published numerical model has been extended to account for these experimental observations. The modelling accurately predicts the damage features observed for the two types of impactor geometry with indentation playing a significant role on the threshold for damage and the distribution of damage.
Improving the LKP-SJT Equation of State: Application to Alkanes, Carbon Dioxide, and Their Mixtures
Authors: Sabozin Fabian , Schneegans Marcel Felix , Jäger Andreas , Thol Monika
Published: February 2025

The recently introduced modification of the Lee-Kesler-Plöcker equation of state, LKP-SJT, has been further developed, and the results are presented. The new version includes an enhancement of the original approach for calculating the compressibility factor at the critical point. Furthermore, the standard fluid combination used as base points for interpolation has been varied. The results of these calculations are compared with datasets generated from highly accurate equations of state in terms of the Helmholtz energy and with experimental measurements. The investigated fluids include alkanes and carbon dioxide. In comparison to the original version of the LKP-SJT equation of state, improvements were achieved for n-alkanes up to n-dodecane and carbon dioxide. The calculated densities of long-chain alkanes are significantly more accurate, while vapor pressures are less precise. The application of the LKP-SJT to propane - n-alkane and carbon dioxide - n-alkane mixtures up to n-decane confirms its benefits in the density calculation of long-chained alkanes and hence asymmetric mixtures. Calculations of the liquid density for the propane - n-eicosane mixture performed to estimate the extrapolation behavior yield promising results.
Genetic Algorithm-based Control of a Two-Wheeled Self-Balancing Robot
Authors: Papadimitriou Kleon Dimitrios , Murasovs Nikita , Giannaccini Maria Elena , Aphale Sumeet
Published: February 2025

Mobile robots are becoming increasingly popular in a wide array of applications: industrial, item delivery, search and rescue, space, social, and entertainment. A two-wheeled self-balancing mobile robot is a statically unstable non-linear system with strong coupling dynamics. Common practices in the development of control systems for such robots are either to linearise the region of application to be used with linear controllers or to use complex nonlinear controllers such as fuzzy logic, sliding mode, and neural networks. However, self-balancing robots are still restricted by the travelling distance needed to regain an upright stance, the length of settling time, high overshoot and lack of resilience to external disturbance. In this paper, we are proposing a novel genetic algorithm-based switching control to evolve more effective control parameters and increase autonomy. Differently from previous work a genetic algorithm has been used to select the parameters in a sliding mode control and a switching-algorithm-based controller of a two-wheeled self-balancing mobile robot. The performance of the proposed controllers is assessed in simulations using the CoppeliaSim environment. The tests used dynamic criteria (distance travelled, maximum angular deviation), control criteria (settling time, % overshoot). The results showed that the genetic algorithm-based control has better performance in the 55 degree recovery, impulse response and variable inclination tests and that switching algorithm-based control shows better performance in step response tests. The results produced by the evolutionary algorithm are often able to perform better than their analytic counterparts. This shows the potential of meta-heuristic algorithms to obtain solutions for optimization problems encountered by statically unstable non-linear systems in unstructured and fast-changing environments.
Exploring innovation across organizations: the role of contracts and management controls
Authors: Caglio Ariela , Daniele Mario , Ditillo Angelo
Published: February 2025

This paper addresses a gap in the management accounting literature by examining the relationship between innovation, contract completeness, and the use of management controls in buyer–supplier relationships. Early evidence shows that uncertainty significantly affects contracts and controls, reducing both contract completeness and the inclusion of control specifications in contracts. However, little is known about the role of innovation in shaping inter-organisational relationships. Our study leverages survey evidence collected in the fashion industry, where innovation is both a source of competitive advantage and an intrinsic feature of the production process. Results indicate that process innovation has a negative relationship with contract completeness and reduces the formalisation of controls in contracts, while product innovation has no significant association. This study highlights the importance of designing contracts that balance completeness and flexibility in innovation activities, and the crucial role that trust plays, as a substitute for contractual control mechanisms, in improving buyer–supplier relationships.
Combined treatment of Ketogenic diet and propagermanium reduces neuroinflammation in Tay-Sachs disease mouse model
Authors: Inci Orhan Kerim , Seyrantepe Volkan
Published: February 2025

Tay-Sachs disease is a rare lysosomal storage disorder caused by β-Hexosaminidase A enzyme deficiency causing abnormal GM2 ganglioside accumulation in the central nervous system. GM2 accumulation triggers chronic neuroinflammation due to neurodegeneration-based astrogliosis and macrophage activity with the increased expression level of Ccl2 in the cortex of a recently generated Tay-Sachs disease mouse model Hexa-/-Neu3-/-. Propagermanium blocks the neuroinflammatory response induced by Ccl2, which is highly expressed in astrocytes and microglia. The ketogenic diet has broad potential usage in neurological disorders, but the knowledge of the impact on Tay-Sach disease is limited. This study aimed to display the effect of combining the ketogenic diet and propagermanium treatment on chronic neuroinflammation in the Tay-Sachs disease mouse model. Hexa-/-Neu3-/- mice were placed into the following groups: (i) standard diet, (ii) ketogenic diet, (iii) standard diet with propagermanium, and (iv) ketogenic diet with propagermanium. RT-PCR and immunohistochemistry analyzed neuroinflammation markers. Behavioral analyses were also applied to assess phenotypic improvement. Notably, the expression levels of neuroinflammation-related genes were reduced in the cortex of 140-day-old Hexa-/-Neu3-/- mice compared to β-Hexosaminidase A deficient mice (Hexa-/-) after combined treatment. Immunohistochemical analysis displayed correlated results with the RT-PCR. Our data suggest the potential to implement combined treatment to reduce chronic inflammation in Tay-Sachs and other lysosomal storage diseases.
Archivism and Anarchivism in Shakespeare’s Julius Caesar, Produced by the Lope de Vega Theater Company at the Roman Theater of Mérida (1955 and 1964)
Authors: Huertas-Martín Víctor
Published: February 2025

I will discuss the first staging of Shakespeare’s Julius Caesar produced at the Roman theater of Mérida. In 1955, José Tamayo–head of the Lope de Vega Theater Company–mounted Julius Caesar at the city’s Roman theater and amphitheater. José María Pemán wrote a free Spanish version of the play in verse. The company’s style, known as “Tamayoscope,” brought entertainment to the people during Franco’s rule. In 1964, Julius Caesar returned to Mérida to celebrate the Festivals of Spain, the 25th Anniversary of Peace, and Shakespeare’s Quatercentenary. Though this Julius Caesar presented a positive view of the regime, it gave way to resistance to Francoism. To prove this, I will examine the archives of this Julius Caesar. I contend that these archives problematize the production’s propaganda. The 1955 archives endorsed the regime’s ideology; those of 1964 were anarchival. Archives are often regarded as officially produced documents which uphold hegemonic narratives and norms; anarchivism integrates archives into subjective and collective experiences. The archives of the Lope de Vega’s Julius Caesar reveal an anarchival dimension which positively impacted Mérida’s socio-political life.
The Genetics of Political Participation: Leveraging Polygenic Indices to Advance Political Behavior Research
Authors: Ahlskog Rafael , Dawes Christopher , Oskarsson Sven , Weinschenk Aaron
Published: February 2025

Previous research has found that political traits have some degree of genetic basis, but researchers have had less success unpacking the relationship between genes and political behavior. We propose an approach for examining this relationship that can overcome many of the limitations of previous research: polygenic indices (PGIs). PGIs are DNA-based individual-level variables that capture the genetic propensity to exhibit a given trait. We begin by outlining how PGIs are derived, how they can be utilized in conventional regression-based research, and how results should be interpreted. We then provide proof of concept, using data on over 50,000 individuals in four samples from the U.S. and Sweden to show that PGIs for health and psychological traits significantly predict measures of political participation, even within families. We conclude by outlining several ideas and providing empirical examples for researchers who may be interested in building on the PGI approach.
Ivan Ilyin’s views on war and violence and their use among Russian religious and military audiences, 2005–2023
Authors: Kytöneva Santeri
Published: February 2025

Ivan Alexandrovich Ilyin (1883–1954) was a Russian philosopher whose writings have recently resurfaced among Russian political elites and in contemporary Russian Orthodox Church discourse. This article provides a reading of Ilyin’s main works on violence, The Basic Moral Contradiction of War (1914) and On Resistance to Evil by Force (1925), outlining how Ilyin’s texts have been utilised by both the Russian Orthodox Church and security service actors from 2005 to 2023. The case study demonstrates that Ilyin’s writings have been instrumentalised by these groups to support arguments in favour of soldiering and for a deeper connection between the church and the military. This article contributes to our understanding of religious militancy in Russian Orthodox discourse by examining an inherent tension in both Ilyin’s work and its reception among Russian religious and military audiences. The article concludes that both Ilyin and references to his works made by individuals associated with the Russian Orthodox Church rely on a problematically subjective conception of morality and attribute virtue to soldiering.
Application of Box-Behnken design to optimize the phosphorus removal from industrial wastewaters using magnetic nanoparticles
Authors: Cardoso Celso E. D. , Almeida Joana C. , Rocha João , Pereira Eduarda
Published: February 2025

Phosphorus is essential for all living organisms and limits aquatic plant growth. Pulp mill effluents, particularly from Eucalyptus bleached kraft pulp mills, contain phosphorus concentrations that vary with operational conditions. This variability poses challenges for effective treatment and phosphorus removal. However, uncontrolled release of phosphorus-rich wastewaters causes eutrophication. This study focuses on optimizing phosphorus removal from such effluents using cobalt ferrite nanoparticles, with an emphasis on process optimization to address this variability. Minimizing phosphorus concentrations is crucial in wastewater engineering and surface water management. By employing design of experiments and response surface methodology, we aim to fine-tune the phosphorous removal process and pinpoint the key factors with the most significant impact. Optimal conditions for achieving over 90% removal from an effluent with 5 mg P/L were identified as a sorbent dose greater than 1.3 g/L and a pH range between 5 and 7, all within a contact time of only 15 min. For a contact time of 1 and 24 h, the conditions adjust to a sorbent dose greater than 0.97 and 0.83 g/L, respectively, with the pH range remaining the same. Our results highlight the effectiveness of cobalt ferrite nanoparticles as sorbents in the removal of phosphorus for water treatment purposes. This approach presents a sustainable and proficient strategy for phosphorus recovery from pulp mill effluents, thereby lessening environmental repercussions and offering a valuable resource for future use. This contributes to the maintenance of water quality and ecosystem preservation.
Clusters of Emotion Regulation Strategies and Their Association with Concurrent and Long-term Alcohol Problems in University Students
Authors: Rubio Milagros , van Hooijdonk Kirsten J.M. , Verhagen Maaike , Cillessen Antonius H. N. , Vink Jacqueline M. , Luijten Maartje
Published: February 2025

Heavy Episodic Drinking (HED) among university students poses risks such as academic issues and alcohol dependence, yet the role of emotion regulation strategies in alcohol problems during life transitions remains underexplored. This study explores how clusters of emotion regulation strategies among students in their final undergraduate year or any year of a master’s programme (n = 439) relate to alcohol problems over two years. Latent Class Analysis of 18 Cognitive Emotion Regulation Questionnaire (CERQ-short) items identified three clusters: (1) High Adaptive, Moderate Maladaptive; (2) Moderate Adaptive, Low Maladaptive; and (3) Low Adaptive, High Maladaptive Regulation. ANCOVA analyses, controlling for gender, revealed no significant concurrent or long-term differences in alcohol problems between clusters. However, the Low Adaptive, High Maladaptive cluster showed significantly higher perceived stress. These findings suggest that focusing on emotion regulation strategies may not be be crucial for reducing hazardous drinking among students with HED. Yet, supporting vulnerable students who rely on maladaptive strategies to manage stress may mitigate risks to their mental health and improve well-being.
Host and Refugee Children’s Definition of Happiness: “Give Me a Room”
Authors: Alkış Küçükaydın Menşure
Published: February 2025

Studies on the happiness of adults and adolescents have been conducted in different cultures and associated with different contexts. However, a limited number of studies have directly examined the meaning that children attribute to happiness. Moreover, the happiness of a refugee group and children in the position of hosting them has yet to be addressed. Therefore, this study investigated the meaning attributed to happiness by Syrian refugees and Turkish children. 207 Syrian children (mean age = 9.73, SD = 0.83) and 204 Turkish children (mean age = 8.90, SD = 0.90) participated in the study. A sentence completion test was used in the study. The data were grouped using codes from previous literature and content analysis. The results showed that Turkish and refugee children reported common variables about happiness. However, while refugee children mostly identified happiness with meeting basic needs, Turkish children talked about a pleasant life. By examining refugee and host children’s perceptions of happiness, the study has reached some conclusions about how refugee crises affect people’s emotional and social well-being.
A refined geospatial approach for groundwater potentiality mapping and optimal retention dams site selection: a case study Wadi Sudr, Gulf of Suez, Egypt
Authors: Mansour Basma M. H. , Kaiser Mona F.
Published: February 2025

In response to the increasing global demand for potable water, assessing groundwater potential in aquifers has become essential. It is also crucial across various sectors, including human consumption, agriculture, and industry. Geographical information system (GIS)-based studies have gained attention due to their efficiency and capability to provide immediate insights into groundwater resources for further development. In the Wadi Sudr basin, Egypt, this study combines Geographic Information System (GIS) with Analytical Hierarchical Process (AHP) techniques to define groundwater potential zones. Ten thematic layers, encompassing factors e.g. lithology, topographic wetness index, land slope, drainage density, lineament density, land surface temperature, slope curvature, topographic ruggedness index, flow velocity, and land elevation, were prepared and analyzed for demarcating groundwater potential zones. The AHP method gives weights to each class based on their features and water potential capacity. Cross-validation with existing groundwater information yielded an overall accuracy reaching 99%. The groundwater potential zone map was categorized into five distinct classifications: very high, high, moderate, low, and very low. Around 35% of the research basin had a moderate groundwater potential zone, whereas high, and very high zones accounted for 20% and 5% respectively. Zones with very high groundwater potential were overlaid with areas of very low stream power and very low sediment transport index. The intersections were compared with stream locations, proximity to roads, faults, and groundwater wells using Boolean logic analysis, identifying 12 optimal dam construction sites. This approach offers refined and valuable insights into groundwater resources and supports sustainable water management in arid regions.
Improved pairwise aircraft separation minima applying Plate Lines
Authors: Koloschin André , Vechtel Dennis , Holzäpfel Frank , Rotshteyn Grigory
Published: February 2025

An analysis of the potential aircraft separation benefits that could be enabled by the installation of wake vortex decay enhancing Plate Lines has been performed. Because Plate Lines are only effective close to the ground, a special focus was on the analysis of the results when applying the reduced separations out of ground effect as well. It has been shown that substantial separation benefits can be enabled by the installation of Plate Lines without compromising safety in ground effect and out of ground effect.
Data-driven fatigue assessment of welded steel joints based on transfer learning
Authors: Schubnell Jan , Fliegener Sascha , Rosenberger Johannes , Feth Sascha , Braun Moritz , Beiler Marten , Baumgartner Jörg
Published: February 2025

Data-driven or machine learning (ML) approaches already achieved significant success in many engineering areas even fatigue assessment of industrial parts and structures. Machine learning approaches work well under the common assumption that the training data covers the relevant feature space of the application. Rebuilding new models or establish new databases for similar feature spaces needs a high effort. In such cases, knowledge transfer or transfer learning can be used. In this study, transfer learning approach is used to determine the fatigue life of welded steel joints (target task) with a ML-algorithm that is trained in non-welded steel specimen. Twenty-two fatigue test data series were used. The results of the transfer learning approach were compared with a conventional machine learning approach that was trained also on data of welded joints. Furthermore, the results were compared to an advanced analytical approach (IBESS) for the fracture mechanic-based fatigue life assessment of welded joints and fatigue strength values from recommendations.
Foundations of molecular dynamics simulations: how and what
Authors: Ciccotti Giovanni , Decherchi Sergio , Meloni Simone
Published: February 2025

In this review, we discuss computational methods to study condensed matter systems and processes occurring in this phase. We begin by laying down the theoretical framework of statistical mechanics starting from the fundamental laws governing nuclei and electrons. Among others, we present the connection between thermodynamics and statistical mechanics using a pure statistical language, which makes it easier to extend the microscopic interpretation of thermodynamic potentials to other relevant quantities, such as the Landau free energy (also known as the potential of the mean force). Computational methods for estimating the relevant quantities of equilibrium and non-equilibrium statistical mechanics systems, as well as reactive events, are discussed. An extended Appendix is added, where we present artificial intelligence methods recently introduced. These methods can enhance the power of atomistic simulations, allowing to achieve at the same time accuracy and efficiency in the calculation of the quantities of interest.
Assessing political bias in large language models
Authors: Rettenberger Luca , Reischl Markus , Schutera Mark
Published: February 2025

Evaluating bias in Large Language Models (LLMs) has become a pivotal issue in current Artificial Intelligence (AI) research due to their significant impact on societal dynamics. Recognizing political bias in LLMs is particularly important as they approach performative prediction, influencing societal behavior and political events, such as the upcoming European Parliament elections. From a German voter’s perspective, we evaluate the political bias of the currently most popular open-source LLMs concerning political issues within the European Union. To do so, we use the "Wahl-O-Mat," a voting advice application used in Germany. We show that larger models, such as Llama3-70B, tend to align more closely with left-leaning political parties, while smaller models often remain neutral, particularly when prompted in English. The central finding is that LLMs are similarly biased, with low variances in the alignment concerning a specific party. Our findings offer crucial insights for developers and policymakers to understand and mitigate LLM biases, emphasizing the need for rigorous bias assessment to ensure the integrity and trustworthiness of AI applications.
Abnormal wind speed detection and prediction: methodology and case study
Authors: Yang Yuting , Zhang Cong , Lam Kin-Man , Sun Xin , Xue Yu
Published: February 2025

Accurate wind speed prediction is crucial for conserving power resources and enhancing power utilization efficiency. However, deviations from typical wind patterns can introduce errors into predictions, potentially leading to imbalances between wind power supply and demand. Consequently, developing a model to forecast abnormal wind speeds is essential. To address this, we leverage the microcanonical multifractal formalism algorithm to detect abnormal wind speeds. In this paper, we integrate ensemble empirical mode decomposition, phase space reconstruction, and long short-term memory (LSTM) networks to predict these anomalies. Initially, wind speed data is meticulously pre-processed to generate datasets for one-hour, one-day, and non-zero wind speeds. Subsequently, LSTM networks are used to forecast abnormal wind speeds. Evaluations of our methodology across different datasets demonstrate its effectiveness, particularly excelling in one-hour forecasts.
The EU Law on Crypto-Assets
Authors: Zetzsche Dirk , Woxholth Jannik
Published: February 2025

This book provides a comprehensive guide to EU regulation of crypto-assets and FinTech regulation more broadly. The authors explain the need for regulation in an accessible manner and against the background of the instances now dubbed the 'Crypto Winter', when millions of crypto investors lost billions of value due to technical malfunctions, misconduct, and fraud. They combine an in-depth perspective on the bespoke regulations of crypto-assets provided in the EU's Markets in Crypto-Assets Regulation (MiCA) and Pilot Regulation with the revised EU's AML/CTF legislation, operational risk regulation (DORA), and private law. They conclude by analysing how the combined new EU financial regulation addresses the causes of the Crypto Winter, and which risks remain despite the plethora of new policy action. Co-written by a world-leading FinTech expert, the book will be a go-to source for researchers and practitioners and a crucial guide for those navigating the field of crypto-assets.
Kyivan Rus in Medieval Europe
Authors: Raffensperger Christian
Published: February 2025

While there has been a great deal (comparatively) written about Rus as part of medieval Europe in the last twenty years, the popular perception of it remains a part of the so-called 'Byzantine Commonwealth.' This traditional framing discounts Russian ties to the west and exaggerates those to 'Byzantium,' elevating the rhetoric used by Russian nationalists to separate Russia from Europe. This Element provides an accurate historical account of medieval Rus that corrects the modern misuse of medieval history: a resource for academics interested in the results of current research on the place of the Kingdom of Rus in the medieval world. It brings together and synthesizes existing scholarship on Rus to present a complete picture of the kingdom of Rus, and its orientation within the wider medieval world, with a particular focus on the eleventh and twelfth centuries.
Centre de lutte contre l’oppression des genres c. Procureur général du Québec : une réécriture queer de jugement
Authors: Lecomte Léo , Gauvin-Joyal Laurence , Carron Djemila
Published: February 2025

Dans cet article, nous mobilisons les théories queers afin de réécrire – réimaginer – la décision Centre de lutte contre l’oppression des genres c. Procureur général du Québec. Bien que cet arrêt ait amené certains changements positifs pour les personnes trans et/ou intersexes au Québec, le Tribunal maintient l’obligation d’inscrire une désignation du sexe/genre sur le constat et la déclaration de naissance. Par la méthode de réécriture queer de jugement, nous montrons, interrogeons et déconstruisons comment cette obligation et son interprétation entre en incohérence avec les théories queers, notamment par sa reproduction des normes cishétéronormatives et des conceptions dominantes et binaires des catégories de sexe, de genre et de sexualité.
Remembering/imagining: Shona Illingworth’s time present and Trinh-T Minh-Ha’s forgetting Vietnam
Authors: Albano Caterina
Published: February 2025

This article considers the intersecting of remembering and imagining vis à vis individual and cultural amnesia. It focuses on two artists’ films, Shona Illingworth’s video installation Time Present (2016) and Trinh-T Minh-Ha’s film, Forgetting Vietnam (2015). Time Present portrays the experience of an individual living with amnesia and further relates it to the immobility that denotes the cultural representation of the island of St Kilda (Outer Hebrides). Forgetting Vietnam questions the problematic legacy of the Vietnam War and its recollection by bridging personal and shared experiences through a portrait of Vietnam itself. Both Illingworth and Trinh use the film’s features of frames and movement to convey the emotional and affective resonances of the experiences and places presented to generate the possibility of presence. This article closely examines Time Present and Forgetting Vietnam with a focus on the films’ respective structures and thematic developments and reads them by suggesting the intersecting of remembering and imagining culturally and its potentiality for engaging with absence and silenced histories through decentralized approaches.
Word sense disambiguation corpus for Kashmiri
Authors: Mir Tawseef Ahmad , Lawaye Aadil Ahmad
Published: February 2025

Ambiguity is considered an indispensable attribute of all natural languages. The process of associating the precise interpretation to an ambiguous word taking into consideration the context in which it occurs is known as word sense disambiguation (WSD). Supervised approaches to WSD are showing better performance in contrast to their counterparts. These approaches, however, require sense annotated corpus to carry out the disambiguation process. This paper presents the first-ever standard WSD dataset for the Kashmiri language. The raw corpus used to develop the sense annotated dataset is collected from different resources and contains about 1 M tokens. The sense-annotated corpus is then created using this raw corpus for 124 commonly used ambiguous Kashmiri words. Kashmiri WordNet, an important lexical resource for the Kashmiri language, is used for obtaining the senses used in the annotation process. The developed sense-tagged corpus is multifarious in nature and has 19,854 sentences. Based on this annotated corpus, the Lexical Sample WSD task for Kashmiri is carried out using different machine-learning algorithms (J48, IBk, Naive Bayes, Dl4jMlpClassifier, SVM). To train these models for the WSD task, bag-of-words (BoW) and word embeddings obtained using the Word2Vec model are used. We used different standard measures, viz. accuracy, precision, recall, and F1-measure, to calculate the performance of these algorithms. Different machine learning algorithms reported different values for these measures on using different features. In the case of BoW model, SVM reported better results than other algorithms used, whereas Dl4jMlpClassifier performed better with word embeddings.
Through the Dark Matter: Exploring Donbas Identity in Times of Peace and War
Authors: Babenko Eva Ievgeniia
Published: February 2025

This article explores the socio-political landscape of Donbas through a lens of post-colonial studies, revealing the Russian colonial past and neo-colonial ambition. By uncovering the interplay of cultural, political, and economic challenges the author identifies the key elements of the region’s identity and draws on historical analysis and personal reflections on the Russo-Ukrainian war. The article explores how Russia managed to dominate the discourse in Donbas, as well as the reasons why a significant part of the Donbas people accepted Russian dominance over the region and the creation of self-proclaimed states without great resistance. The study underscores the necessity to work on the decolonization of Donbas’ identity as the pivotal point for fostering reconciliation processes in the long-term occupied territories of Ukraine.
Unraveling Perceptions of the Armenian Genocide in Turkish Society: An Examination through Cohen’s Denial Typologies
Authors: Nefes Türkay Salim
Published: February 2025

The international recognition of the Armenian genocide is the most prominent issue shaping Turkish-Armenian relations today. Nevertheless, the academic literature lacks empirical analyses of people’s perceptions of the genocide in Turkey. To address the gap, the article provides an exploratory investigation into people’s online comments regarding the genocide on the most popular Turkish forum website, Eksisozluk. Guided by Cohen’s (2001) theoretical approach, the study explores online entries on the topic spanning from 2002 to 2018 (N = 2127). The findings reveal eleven attitudes that individuals adopt in the debate. The article examines the diversity in responses by utilizing Cohen’s typology, which helps to define and categorize individuals’ rationales for denial. Further, it shows that Cohen’s approach could contribute to explaining non-denying responses to the recollection of past suffering. The study concludes that people do not uniformly follow the official line concerning the Armenian genocide in Turkey.
On Making a New Realization of Uspud by Erik Satie and J. P. Contamine de Latour
Authors: HUGILL ANDREW
Published: February 2025

This essay reflects on a new digital realization by Andrew Hugill of the ‘Christian ballet’ Uspud (1892) by Erik Satie and J. P. Contamine de Latour. The creative process of making the realization entailed a critical re-examination of existing scholarship and revealed that the relationship between music and drama is closer than has previously been understood. The essay situates Uspud in the context of 1890s Montmartre and demonstrates beyond reasonable doubt that it was conceived as a shadow play and scored for solo harmonium. It analyses the music in detail, considering how its motivic construction and use of timbral contrasts both supports the action and conveys the inner states of uspud himself. It considers the humorous and serious aspects of Uspud, arguing that this was a key work in the evolution of Satie’s artistic and personal identity.
James C. Scott in Kinshasa, and a response to Jeremiah Arowosegbe
Authors: Monaville Pedro
Published: February 2025

When the American political scientist James C. Scott passed away in July 2024, tributes praised him as one of the most influential thinkers of his generation.1 Building on years of ethnographic research in Southeast Asia, his numerous books offered new ways of thinking about subaltern resistance, as well as the mechanisms of state oppression and control. A self-professed anarchist, he organized against the Vietnam War as a junior faculty at the University of Wisconsin in the latter part of the 1960s, and he maintained a forty-six-acre farm for decades while teaching at Yale. While obituaries widely remembered Scott as a figure of integrity, some dissonant voices on social media commented more negatively on his involvement with the CIA as a young man and as a leader in the United States National Student Association (USNSA). The political scientist Karen Puget first brought this episode in Scott’s life to light in a book that carefully exposed the ties of the USNSA with US intelligence (Puget 2015). Puget showed how, in the 1950s and 1960s, what was then the most important student organization in the USA allowed itself to be fully infiltrated by the government. The young liberal-minded students at the helm of the organization worked hand in hand with CIA handlers to curb Soviet influence among their peer organizations in Europe, Asia and Africa. For a few years, after graduating from Williams College and before embarking on his doctoral studies at Yale, Scott occupied a prominent role among these young shadow Cold Warriors, first as the USNSA’s representative in Paris and later as its vice president in charge of international affairs.
Offloading African academic fodder? A response
Authors: Mazarire Gerald Chikozho
Published: February 2025

The impact of neoliberalism on the world university system has been widely debated. Trends in the global North today show not only the tighter managerialism that comes with cuts to university funding and commercialization, but also competition for fee-paying ‘student customers’ and casualization of academic staff in an era of increased international student mobility. There are louder calls for quality enhancement and more inclusive learning environments regulated and indexed by global rankings. In the global South and in Africa in particular, the same factors also drive institutional and infrastructural decadence amidst other postcolonial factors that have brought wider confrontation between the state and university staff and student bodies, which constitute the subject of this discussion.
How to write about African universities
Authors: Mills David
Published: February 2025

He may have died tragically young, but Binyavanga Wainaina’s brilliance lives on. His caustic skewering of white journalism – ‘How to write about Africa’ – was first published in Granta in 2005 (Wainaina 2005). It remains a vital anti-guide to sweeping generalizations and cheap condescension. By comparison, writing about African universities should be easy. After all, aren’t most of us already insiders within, if not institutionalized by, higher education? There lies the rub. Academography, to use Eli Thorkelson’s pithy neologism, is much harder than it looks.
Non-additive derived functors via chain resolutions
Authors: Culot Maxime , Renaud Fara , Van der Linden Tim
Published: February 2025

Let

$F:\; {\mathscr {C}} \to {\mathscr {E}} \ $

be a functor from a category

$\mathscr {C} \ $

to a homological (Borceux–Bourn) or semi-abelian (Janelidze–Márki–Tholen) category

$\mathscr {E}$

. We investigate conditions under which the homology of an object

$X$

in

$\mathscr {C}$

with coefficients in the functor

$F$

, defined via projective resolutions in

$\mathscr {C}$

, remains independent of the chosen resolution. Consequently, the left derived functors of

$F$

can be constructed analogously to the classical abelian case.

Our approach extends the concept of chain homotopy to a non-additive setting using the technique of imaginary morphisms. Specifically, we utilize the approximate subtractions of Bourn–Janelidze, originally introduced in the context of subtractive categories. This method is applicable when

$\mathscr {C}$

is a pointed regular category with finite coproducts and enough projectives, provided the class of projectives is closed under protosplit subobjects, a new condition introduced in this article and naturally satisfied in the abelian context. We further assume that the functor

$F$

meets certain exactness conditions: for instance, it may be protoadditive and preserve proper morphisms and binary coproducts—conditions that amount to additivity when

$\mathscr {C}$

and

$\mathscr {E}$

are abelian categories.

Within this framework, we develop a basic theory of derived functors, compare it with the simplicial approach, and provide several examples.
The presumption of compatibilism
Authors: Lim Daniel , Nichols Ryan , Wagoner Joseph
Published: February 2025

Recent debates over the relationship between omniscience and free will have generated a number of views (e.g. Ockhamism). Though fascinating in their own right, what interests us in this paper is not so much the views themselves, but the way that intuitions have figured prominently in justifying these views. Proponents of the various views assume that their intuitions are the most pre-philosophically natural (or closely aligned with common sense) and therefore best situated to serve as justifications for their views. These implicit claims, however, are not a priori justified; they require empirical investigation. To take a modest step forward in exploring pre-philosophical intuitions about the relationship between omniscience and free will we conducted a series of experiments which presented participants with three cases (two are prominent in the free will and philosophy of religion literatures: Newcomb’s Paradox (Nozick 1969) and Plantinga’s ‘ant colony’ (1986)). Experiment 1 sampled US participants from varied religious backgrounds. Experiment 2 used English-language vignettes and sampled non-Christian persons from India. Experiment 3 used Korean-language translations, and sampled two groups of South Koreans, Christians and non-Christians. Analysis of the data revealed that pre-philosophical intuitions about omniscience and free will are describable as compatibilist.
Parents' views on Chinese young learners' foreign language learning attitudes and motivation: A mixed methods study
Authors: Nie Dongxia , Mavrou Irini
Published: February 2025

Young learners' attitudes and motivation are important indicators of foreign language learning success and have thus attracted increasing attention over the last decades. As a large country where English is taught as a foreign language (EFL) and children generally start learning English at an early age, China provides an ideal context to study the attitudes and motivation of young EFL learners. Drawing upon the socio-educational model, this study surveyed 521 Chinese parents using an online questionnaire and interviewed eight of them to examine their perspectives on their children's attitudes and motivation towards EFL learning. The findings suggest that parental factors – socioeconomic status and parental involvement – influence young learners' EFL attitudes and motivation, as perceived by their parents. Parental factors, age at the onset of English language learning and intensity of exposure explained a significant amount of the variation in parents’ reports on the attitudes and motivation of young learners. Furthermore, the parents reported that their children's EFL attitudes and motivation were constantly changing, and that family, school and extracurricular training appeared to play different roles in this process of change.
Empowering minds: The role of disciplinary literacies in English-medium internationalised universities
Authors: Dafouz Emma
Published: February 2025

As higher education increasingly embraces internationalisation, the surge in demand for English as the medium of education (EME) poses significant challenges for stakeholders. This keynote places disciplinary literacies (DLs), defined as the ability to appropriately participate in the communicative practices of a discipline (Airey, 2011), centre stage as a crucial construct for effective teaching and learning within specific subjects. Despite their critical role in facilitating comprehension and production of discipline-specific practices and texts, their integration into EME settings often remains overlooked, raising concerns about students’ mastery of disciplinary content. Against this backdrop, with the help of the ROAD-MAPPING framework (Dafouz & Smit, 2020) as a conceptual and analytical tool, and drawing on data from the SHIFT research project, I will illustrate how ROAD-MAPPING can be used to examine comprehensively and in a socially situated way the role of DLs in students’ learning experiences. The paper advocates for the importance of supporting students (and lecturers) in the development of DLs in EME underscoring the pivotal role ESP (English for Specific Purposes) and EAP (English for Academic Purposes) professionals play in facilitating effective EME implementation.
Processing syntactic violations in the non-native language: different behavioural and neural correlates as a function of typological similarity?
Authors: Von Grebmer Zu Wolfsthurn Sarah , Pablos Leticia , Schiller Niels O.
Published: February 2025

Despite often featuring in theoretical accounts, the exact impact of typological similarity on non-native language comprehension and its corresponding neural correlates remains unclear. We examined the modulatory role of typological similarity in syntactic violation processing in the non-native language Spanish, for example [el volcán] versus [*la volcán], and in cross-linguistic influence. Participants were Italian late learners of Spanish (similar language pair) or German late learners of Spanish (less similar language pair). We measured P600 amplitudes, accuracy and response times. In line with our predictions, we found a larger P600 effect and differential CLI effects for Italian-Spanish speakers compared to German-Spanish speakers. Behaviourally, Italian-Spanish speakers responded slower compared to German-Spanish speakers. Together, these results indicate typological similarity effects in non-native comprehension as reflected in a processing advantage for typologically similar languages, but only at the neural level. These findings have critical implications for the interplay of different languages in the multilingual brain.
The Case for Algorithmic Scepticism in Law
Authors: Sutherland Sarah A
Published: February 2025

While we are aware that algorithms are at play in the background of much of what we do in our day-to-day life they are still widely misunderstood, says Sarah A Sutherland, the founder and principal consultant at Parallax Information Consulting. Here Sarah talks us through how we should approach our technology adoption by considering what algorithms are being used for and what the underlying technology and data that supports them actually is.