bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevention of cancer-therapy related cardiac dysfunction
Authors: Haj-Yehia Elias , Michel Lars , Mincu Raluca I. , Rassaf Tienush , Totzeck Matthias 
Published: February 2025

Abstract

Purpose of Review
Introduction of modern cancer therapies has led to increased survival of affected patients. With this advantage, the incidence of cancer therapy-related cardiac dysfunction (CTRCD) has increased and reasonable prevention strategies become necessary. This review outlines the major approaches to limit development and progression of CTRCD.

Recent Findings
A broad range of cancer therapies can provoke CTRCD ranging from mild asymptomatic forms to severe heart failure. Profound cardiological assessment of cardiovascular comorbidities before initiation of cancer therapy allows identification of cancer patients at higher risk developing CTRCD which may also require closer surveillance. Cardioprotective adjustment of cancer therapy and initiation of cardioprotective medication and lifestyle optimization prior to anti-cancer treatment additionally limit the risk of CTRCD. During therapy, regular examination of cancer patients using high-sensitive cardiological diagnostic tools as three-dimensional (3D) echocardiography and global longitudinal strain (GLS) enables early detection of mild forms of CTRCD. This allows appropriate adjustment of cancer therapy and initiation of CTRCD treatment to prevent further progression to severe forms.

Summary
Cardiological risk stratification before treatment initiation, cardioprotective interventions before and during cancer therapy, along with regular monitoring of treated cancer patients, can help prevent the development of CTRCD. This maintains the antitumor effects of cancer therapy while limiting cardiotoxic side effects resulting in improved quality of life and mortality of affected cancer patients.
Queer Liturgy for Active Coping: Jewish Prayers for LGBTQ+ Treatments and Medical Tests
Authors: Ben-Lulu Elazar 
Published: February 2025

Abstract
In recent years, the field of medicine has increasingly embraced inclusivity for the LGBTQ+ community, marking a new era focused on addressing diverse health needs associated with varied identities. This qualitative study illustrates this progressive trend by textual analyzing specific six Jewish prayers that address LGBTQ+ concerns, including support for medical care and treatments related to sexual and gender identity, such as HIV/AIDS care. These contemporary liturgical texts for LGBTQ+ health procedures, often authored by LGBTQ+ rabbis, introduce new perspectives on body, gender, sexuality and divinity. They express both reverence for God's creation, acknowledging His role in healing and the efficacy of medicine, and respect for the body's ability to renew identity or fulfill its purpose. Concurrently, there is also a contemplative stance regarding the body and God, sometimes accompanied by a desire for reconciliation. This distinct queer liturgy exemplifies what I term a Jewish liturgy for active coping. I show how the liturgical texts can aid in addressing life experiences, including physical experiences that LGBTQ+ individuals frequently encounter, often accompanied by feelings of concealment, shame, and alienation. Thus, I argue that ignoring these issues or confining coping mechanisms solely to the medical arena does not necessarily resolve medical problems. Therefore, integrating physical experiences and medical interventions into Jewish textuality and liturgy highlights the intersection of LGBTQ+ health and renewal traditions, emphasizing the importance of mobilizing these practices for meaningful support.
Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis
Authors: Topçu Emre , Karaçor Fatih , Çırağ Burak , Taşkolu İlteriş , Acar Reşat 
Published: February 2025

Abstract
Drought is a climate phenomenon that can have serious consequences for all living things. The widespread occurrence of extreme drought and extreme precipitation conditions in recent years has increased the importance of drought studies. This study aims to conduct a comprehensive drought analysis using 11 meteorological parameters for the period 1970–2023 at Ardahan, Iğdır, and Kars meteorological stations in the region of Türkiye, which is located in the Northeast of the Aras Basin and known for its harsh winter conditions. Drought analysis was carried out with the Aggregate Drought Index (ADI) method and the effects of climate change on parameters such as temperature, precipitation, snow water equivalent (SWE), and streamflow in the region were analyzed. As a result of the study, with the use of ADI and IPTA methods, drought trends in Aras Basin, especially in the winter and summer seasons, were clearly seen. It can be said that near-normal conditions are experienced the most with a frequency of approximately 20%. In addition to the ADI analysis, Standardized Precipitation Index (SPI), Streamflow Drought Index (SDI), and Reconnaissance Drought Index (RDI) methods were also applied; however, it was observed that these indexes do not always show full agreement with the ADI and exhibit similar trends in some drought periods. These results show that choosing the right indexes is of great importance for drought analysis and that indexes suitable for regional climate characteristics will give more reliable results.
Evaluating the Effect of Speed and Acceleration on Human Factors during an Assembly Task in Human–Robot Interaction (HRI)
Authors: Apraiz Ainhoa , Lasa Ganix , Mazmela Maitane , Arana-Arexolaleiba Nestor , Serrano Muñoz Antonio , Elguea Íñigo , Etxabe Amaia 
Published: February 2025

Abstract
In the new industrial contexts, the workers’ well-being is the central pillar. Therefore, research on methods and technics to improve the workers’ user experience in a human–robot collaborative environment is necessary. While the effects of kinematic variables, such as speed and acceleration, on human safety have been extensively studied, their impact on human perception has not been fully explored. This study investigates the effects of the robot’s speed and acceleration on humans. An experimental research approach was used, where 20 participants (10 women and 10 men) performed an assembly task collaborating with a robot. An experiment was defined with two procedures, and the participants were evenly distributed: in the first experiment, the participants started by performing the task at a slow robot speed and then performed the same task at a faster speed. In the second experiment, the other half followed the opposite procedure. Key Performance Indicators (KPIs), physiological values (via EEG and EDA), and perceptual values (using the standardised UEQ-S questionnaire) were collected. The results showed that the robot’s speed and acceleration impact the task’s completion time and participants’ emotional responses. Our results lead to a new concept, “HRI speed bell”, which indicates that it is necessary to investigate the optimal speed and acceleration to ensure good trust and perceived safety. Furthermore, the task sequence also influences participants’ expectations and performance. Finally, the results are examined according to gender perspective.
A cross-cultural study translating and validating the COMPAT-SF pain questionnaire in Telugu, Bengali and Hindi
Authors: Unnisa M. , Agarwal A. , Peddapulla C. , Sharma V. , Midha S. , Jagannath S. , Talukdar R. , Phillips A. E. , Faghih M. , Windsor J. , Olesen S. S. , Garg P. , Drewes A. M. , Kuhlmann L. ,   On behalf of the International Pancreatic Pain Consortium
Published: February 2025

Abstract

Background and Objectives
Chronic pancreatitis (CP) is a fibroinflammatory disease causing functional injury. Abdominal pain is the predominant symptom negatively impacting the quality of life. The Comprehensive Pain Assessment Tool (COMPAT-SF) questionnaire, designed and validated to assess pain in CP, was previously only available in English and Danish. Given the high prevalence of CP in India, translating and validating COMPAT-SF into different languages becomes crucial.

Methods
The COMPAT-SF underwent translation into three Indian languages (Hindi, Telugu and Bengali) and was back-translated to English to ensure cross-cultural equivalence. Validation was conducted at two tertiary care centers in India. As Hindi is the most widespread language, bilingual CP patients answered the COMPAT-SF in Hindi and English at a three-week interval. All sub-group answers were compared with patient data from the US. Structural equation modeling and confirmatory factor analysis were employed for validation.

Results
Total 64 patients (19 Hindi-speaking,15 Telugu and 30 Bengali) were included and compared with 91 English-speaking patients. Translation adequacy was confirmed with > 85% concordance. Despite modest Cronbach alpha values in reliability analysis, structural equation modeling demonstrated high consistency with the original COMPAT-SF study. Some cultural differences in responses were observed, but the responses were comparable overall. Confirmatory factor analysis on the pooled data indicated an acceptable model fit and the Hindi version showed good accordance with the English version.

Conclusion
The translated COMPAT-SF versions proved to be valid and reliable pain assessment tools for CP patients. The study underscores the importance of addressing pain comprehensively.

Graphical Abstract
Prolonged survival in HIV-associated Progressive Multifocal Leukoencephalopathy treated with Pembrolizumab: a case series on treatment and long-term follow-up
Authors: Chiuchiarelli Marta , Micheli Giulia , Segala Francesco Vladimiro , Giuliano Gabriele , Del Giacomo Paola , Dusina Alex , Matteini Elena , Frondizi Federico , Gaudino Simona , Lisi Francesca , Cimini Eleonora , Santangelo Rosaria , Agrati Chiara , Torti Carlo , Cingolani Antonella 
Published: February 2025

Abstract
Progressive Multifocal Leukoencephalopathy (PML) is a rare opportunistic infection of the central nervous system (CNS) caused by human polyomavirus JC virus, with high mortality rate in people living with HIV (PLWH), without an effective specific treatment beside combined antiretroviral therapy (cART). The use of Pembrolizumab, an inhibitor of the Programmed cell death protein 1 (PD-1) receptor on T cells, has been associated with decreased viral clearance. Aim of this study is to evaluate clinical course of PLWH affected by PML treated with pembrolizumab. We report four consecutive PLWH with clinical and radiological evidence of PML and JCV-DNA detection in cerebrospinal fluid (CSF). Pembrolizumab was administered to all four PLWH alongside cART. Radiological and laboratory follow-up were performed at the end of the medical protocol. Clinically, 3 out of 4 PLWH showed an improvement in neurological deficits, partially reacquiring the lost functions, and they are alive at 3.5 years, 14 months, and 9 months, respectively; the fourth patient died shortly after treatment due to worsening respiratory conditions. In all the PLWH completing treatment, a decrease of about 80–90% of the specific PD-1 activity was observed. Prolonged survival and stabilization of radiological findings have been observed, along with clinical improvement and partial recovery of acquired deficits in 3 out of 4 PLWH. In addition, a decrease in anti-PD-1 expression has also been observed, suggesting a link between the therapy and the success achieved. Given the small sample and conflicting evidence in the existing literature, further investigation is needed to assess its effectiveness.
Review of Nano-clay Polymer Composites for Controlled Nitrogen Release: Prospects and Limitations
Authors: Nayak Bitish Kumar , Chatterjee Dibyendu , Paul Ranjan , Das Saikat Ranjan , Adak Totan , Mandal Nintu , Drewer Julia , Pradhan Abhijit , Kundu Manik Chandra , Pal Asit Kumar , Santra Gour Hari , Sahoo Suryakanta , Datta Samar Chandra , Sutton Mark A. , Nayak Amaresh Kumar , Pathak Himanshu 
Published: February 2025

Abstract
This review paper discusses the potential and limitations of polymer composites for smart nitrogen (N) supply to meet the needs of agricultural crops. Unlike most conventional fertilizers, nano-clay polymer composites (NCPCs) offer a slow-release mechanism that enhances nitrogen use efficiency and reduces its loss to the environment. NCPCs are normally synthesized using solution blending, melt blending and in situ polymerization. Solution blending offers a better clay dispersion in the polymer matrix than melt blending owing to its low viscosity and strong stirring force. NCPCs have been characterized by several techniques, including equilibrium water absorbency, Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction and nutrient release kinetics. The potential benefits of using these composites are highlighted, including improved nitrogen use efficiency and reduced environmental impacts, as are their prospects for widespread use in agriculture and mitigation of the adverse environmental effects from conventional fertilizers. In addition, the limitations of NCPC technology, such as cost, scalability and potential negative environmental effects, are also investigated. The paper provides a wide perspective on the NCPC technology, including the regulatory environment and policy, industry trends and commercialization potential. NCPCs offer many benefits to increase nitrogen use efficiency and reduce pollution affecting water quality, air quality and climate. The main current barrier to overcome is to reduce production costs, so that farmers may also benefit financially from the higher nitrogen use efficiency and associated reduced amounts of nitrogen wasted to the environment.
Statistically validated network for analysing textual data
Authors: Simonetti Andrea , Albano Alessandro , Tumminello Michele , Di Matteo T. 
Published: February 2025

Abstract
This paper presents a novel methodology, called Word Co-occurrence SVN topic model (WCSVNtm), for document clustering and topic modeling in textual datasets. This method represents the corpus as a bipartite network of words and documents to rigorously assess the statistical significance of word co-occurrences within documents and document overlap based on shared vocabulary. By employing the Leiden community detection algorithm to the SVN, distinct communities of words can be identified and interpreted as topics. Similarly, documents can be sorted into groups based on their thematic similarities. We demonstrate the effectiveness of our approach by analyzing three datasets: a set of 120 Wikipedia articles, the arXiv10 dataset, which consists of 100,000 abstracts from scientific papers, and a sampled subset of 10,000 documents from the original arXiv10. To benchmark our results, we compare our approach with several well-established models in the field of topic modeling and document clustering, including the hierarchical Stochastic Block Model (hSBM), BERTopic, and Latent Dirichlet Allocation (LDA). The results show that WCSVNtm achieves competitive performance across all datasets, automatically selecting the number of topics and document clusters, whereas state-of-the-art methods require prior knowledge or additional tuning for optimization. Finally, any advancements in community detection algorithms could further improve our method.
Simulating non-ideal AB5 metal hydride pressure–concentration–temperature isotherms in MATLAB
Authors: Faurie Douw Gerbrand , Premlall Kasturie 
Published: February 2025

Abstract
Hydride-forming metal isotherms are complex due to the inherent multi-dimensional pressure–concentration–temperature dependencies. Hydrogen adsorbs to the surface of the hydride forming metal, then dissociating and diffusing into the metal. So doing boding with the metal, a further increase in pressure causes the hydride to undergo a change from low-pressure hydrides to high-pressure hydrides. Naturally, desorption is considered a reverse of the mechanism. These unique phenomena combined pose a challenge to modelling non-ideal gas-metal isotherms with hydrogen concentration as a function of pressure and temperature. This article reports the simulation of non-ideal hydride-forming metals, focusing on AB5-type hydride-forming metals. This was done as a numerical simulation in MATLAB, using a non-ideal gas-metal isotherm model, specifically Lototskyy’s model published in 2016, after which the simulations were experimentally validated. The semi-empirical non-ideal model requires numerical methods to solve, making a simulation key for the widespread use of the model. The numerical simulation produced can predict pressure–concentration–temperature isotherms with high accuracy. This study delivers a high-resolution, high-accuracy data set in the form of a simulation. This can then be used in further studies to accurately model metal hydride reactors for a variety of applications.
Zum Einfluss von Vermittlungsmethode, professionellem Wissen und Überzeugungen von Lehrkräften auf die Lese- und Rechtschreibleistung im schriftsprachlichen Anfangsunterricht
Authors: Mühle Janine , Weyers Jonas , König Johannes , Hanke Petra , Becker-Mrotzek Michael , Glutsch Nina , Knips Chantal , Pohl Thorsten , Schabmann Alfred , Träuble Birgit , Waschewski Tina 
Published: February 2025

Zusammenfassung
Die Frage, wie Grundschüler*innen am besten Lesen und Schreiben lernen, wird seit Jahrzehnten diskutiert. Im Vordergrund steht die Suche nach einer Vermittlungsmethode, die sich besonders förderlich auf den Schriftspracherwerb auswirkt. In bisherigen Forschungsarbeiten konnte mit Blick auf den Lernzuwachs der Schüler*innen bislang keine Vermittlungsmethode als eindeutig überlegen identifiziert werden. Untersuchungsergebnisse aus verschiedenen fachdidaktischen Disziplinen belegen unterdessen die Bedeutsamkeit der professionellen Lehrkräftekompetenz für erfolgreiche schulische Lernprozesse. Vor diesem Hintergrund geht der Beitrag zwei Fragestellungen nach: 1) Inwieweit bestehen Zusammenhänge zwischen Facetten der Lehrkräftekompetenz (professionelles Wissen und Überzeugungen) und der Vermittlungsmethode? 2) Inwieweit bestehen Zusammenhänge zwischen der Lehrkräftekompetenz und dem Lernfortschritt der Schüler*innen und inwiefern werden diese über die Vermittlungsmethode mediiert? Zu diesem Zweck wurden 26 Lehrkräfte in zweiten Klassen hinsichtlich ihrer Vermittlungsmethode, ihren Überzeugungen und ihrem professionellen Wissen befragt. Die Vermittlungsmethode wurde in Bezug auf die schriftsprachliche Orientierung und das zugrunde liegende Lehr-Lern-Konzept spezifiziert. Ferner wurden das Leseverständnis und die Rechtschreibkompetenz von insgesamt 522 Schüler*innen zu zwei Messzeitpunkten erhoben. Die Korrelationsanalysen deuten darauf hin, dass die gewählte Vermittlungsmethode insbesondere mit dem Ausprägungsgrad der konstruktivistischen Überzeugungen, nicht aber mit transmissiven Überzeugungen oder dem professionellen Wissen zusammenhängt. Mehrebenenanalysen zeigen, dass die Rechtschreibkompetenz nur von einer spezifischen Vermittlungsmethode (Lautorientierung) positiv beeinflusst wird. Alle anderen Vermittlungsmethoden haben keinen Einfluss auf die Rechtschreibkompetenz und ebenso nicht auf die Lesekompetenz. In Mediationsanalysen konnte ein partiell mediierender Effekt der Vermittlungsmethode zwischen den Überzeugungen und dem rechtschriftlichen Lernzuwachs identifiziert werden. Implikationen für den schriftsprachlichen Anfangsunterricht, die Lehrkräfteausbildung und künftige Forschung werden diskutiert.
The ethics of national artificial intelligence plans: an empirical lens
Authors: Dua Manpriya , Singh J. P. , Shehu Amarda 
Published: February 2025

Abstract
Over fifty countries have published national infrastructure and strategy plans on Artificial Intelligence (AI), outlining their values and priorities regarding AI research, development, and deployment. This paper utilizes a deliberation and capabilities-based ethics framework rooted in providing freedom of agency and choice to human beings– to investigate how different countries approach AI ethics within their national plans. We explore the commonalities and variations in national priorities and their implications for a deliberation and capabilities-based ethics approach. Combining established and novel methodologies such as content analysis, graph structuring, and generative AI, we uncover a complex landscape where traditional geostrategic formations intersect with new alliances, thereby revealing how various groups and associated values are prioritized. For instance, the Ibero-American AI strategy highlights strong connections among Latin American nations, particularly with Spain, emphasizing gender diversity but pragmatically and predominantly as a workforce issue. In contrast, a US-led coalition of “science and tech first movers" is more focused on advancing foundational AI and diverse applications. The European Union AI strategy showcases leading states like France and Germany while addressing regional divides, with more focus and detail on social mobility, sustainability, standardization, and democratic governance of AI. These findings offer an empirical lens into the current global landscape of AI development and ethics, revealing distinct national trajectories in the pursuit of ethical AI.
Practice variation in induction of labour: women’s role in the decision-making process
Authors: Brabers Anne E. M. , Haaren–Ten Haken Tamar M. Van , Keulen Judit K. J. , Offerhaus Pien M. , Nieuwenhuijze Marianne J. , de Jong Judith D. 
Published: February 2025

Abstract
In the Netherlands, percentages of induction of labour (IOL) range from 14.3 to 41.1% in regional maternity care networks (MCNs). In this study, we focus on women’s contribution in explaining this variation in range. We examine if different factors at the level of the individual woman (micro) and the level of the woman’s social context (meso) are related to decision-making on IOL, and the variation. We used an online questionnaire inviting women counselled for IOL (n = 180, response rate 40%) from six different MCNs, three with a high and three with a low percentage of IOL. Factors included are, for example, attitude towards birth, reason for IOL, and social norms. Descriptive statistics and regression analyses were performed to examine the relation between the included factors and the intended decision on IOL. Our results show that only the factor women’s attitude towards birth is related to the intended decision on IOL. The more women believe that birth is a medical process, the higher the odds that the intended decision is to induce labour. This may contribute to variation in IOL between individual women, but appears to contribute less to variation in IOL between MCNs. This is because the percentages of women with an intended decision for IOL do not differ within MCNs with a low or high percentage of IOL. A next step in explaining practice variation, is to examine mechanisms at the level of the individual healthcare provider (micro) and the MCN (meso).