bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined treatment of Ketogenic diet and propagermanium reduces neuroinflammation in Tay-Sachs disease mouse model
Authors: Inci Orhan Kerim , Seyrantepe Volkan 
Published: February 2025

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
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

Résumé
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

Abstract
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

AbstractAmbiguity 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

Abstract
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.