bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Long‐Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS‐MBON 2018–2020
Authors: Daraghmeh Nauras , Exter Katrina , Pagnier Justine , Balazy Piotr , Cancio Ibon , Chatzigeorgiou Giorgos , Chatzinikolaou Eva , Chelchowski Maciej , Chrismas Nathan Alexis Mitchell , Comtet Thierry , Dailianis Thanos , Deneudt Klaas , Diaz de Cerio Oihane , Digenis Markos , Gerovasileiou Vasilis , González José , Kauppi Laura , Kristoffersen Jon Bent , Kukliński Piotr , Lasota Rafał , Levy Liraz , Małachowicz Magdalena , Mavrič Borut , Mortelmans Jonas , Paredes Estefania , Poćwierz‐Kotus Anita , Reiss Henning , Santi Ioulia , Sarafidou Georgia , Skouradakis Grigorios , Solbakken Jostein , Staehr Peter A. U. , Tajadura Javier , Thyrring Jakob , Troncoso Jesus S. , Vernadou Emmanouela , Viard Frederique , Zafeiropoulos Haris , Zbawicka Małgorzata , Pavloudi Christina , Obst Matthias 
Published: January 2025

ABSTRACTMolecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document the biodiversity of complex communities over large spatio‐temporal scales. We established an international Marine Biodiversity Observation Network (ARMS‐MBON) combining standardised sampling using autonomous reef monitoring structures (ARMS) with metabarcoding for genetic monitoring of marine hard‐bottom benthic communities. Here, we present the data of our first sampling campaign comprising 56 ARMS units deployed in 2018–2019 and retrieved in 2018–2020 across 15 observatories along the coasts of Europe and adjacent regions. We describe the open‐access data set (image, genetic and metadata) and explore the genetic data to show its potential for marine biodiversity monitoring and ecological research. Our analysis shows that ARMS recovered more than 60 eukaryotic phyla capturing diversity of up to ~5500 amplicon sequence variants and ~1800 operational taxonomic units, and up to ~250 and ~50 species per observatory using the cytochrome c oxidase subunit I (COI) and 18S rRNA marker genes, respectively. Further, ARMS detected threatened, vulnerable and non‐indigenous species often targeted in biological monitoring. We show that while deployment duration does not drive diversity estimates, sampling effort and sequencing depth across observatories do. We recommend that ARMS should be deployed for at least 3–6 months during the main growth season to use resources as efficiently as possible and that post‐sequencing curation is applied to enable statistical comparison of spatio‐temporal entities. We suggest that ARMS should be used in biological monitoring programs and long‐term ecological research and encourage the adoption of our ARMS‐MBON protocols.
Cannabidiol alters psychophysiological, craving and anxiety responses in an alcohol cue reactivity task: A cross‐over randomized controlled trial
Authors: Hurzeler Tristan , Logge Warren , Watt Joshua , McGregor Ian S. , Suraev Anastasia , Haber Paul S. , Morley Kirsten C. 
Published: February 2025

AbstractBackgroundPreclinical studies have demonstrated that cannabidiol (CBD) reduces alcohol‐seeking behaviors and may have potential for managing alcohol use disorder (AUD). In this study, we examined the effects of CBD versus placebo on (i) psychophysiological, craving and anxiety responses to alcohol and appetitive cues; (ii) tolerability measures including cognitive functioning.MethodsTwenty‐two non‐treatment‐seeking individuals with AUD (DSM‐5) participated in a cross‐over, double‐blind, randomized trial, receiving either 800 mg of CBD or matched placebo over 3 days. A laboratory alcohol cue reactivity task with appetitive control (juice) and alcohol exposures, and subsequent recovery periods to examine regulation of cue‐elicited responses after cue‐offset (recovery) was completed, with psychophysiological indices of autonomic nervous system activity (skin conductance, high‐frequency heart rate variability [HF‐HRV]) and self‐reported measures (alcohol craving and anxiety). Self‐reported scales of sedation and neuropsychological executive function tasks were also completed.ResultsCBD sessions were significantly associated with elevated parasympathetic nervous system (PNS) activity across the task, as indicated by increased HF‐HRV. Reductions in self‐reported anxiety during cue exposure stages compared to placebo sessions were also evidenced. Reductions in self‐reported alcohol craving after cue exposure were seen during CBD sessions only. There were no significant differences between CBD and placebo on executive functioning performance.ConclusionsIn a short‐term regimen, CBD appears to modulate PNS activity, reduce cue‐elicited anxiety during cue exposure and reduce alcohol craving after cue exposure while not significantly impairing cognition. Large, parallel clinical trials with longer term regimens are now needed to determine the therapeutic potential of CBD in the management of AUD.
Living in the Paraindustrial
Authors: Walley Christine J. 
Published: February 2025

AbstractThis article is an autoethnographic exploration of life in the former steel mill region of Southeast Chicago in the ‘Rust Belt’ of the Midwestern United States. It challenges assumptions about deindustrialization that depict one discrete historical stage following another (i.e., the postindustrial following the industrial) in favor of what is here defined as the ‘paraindustrial’ (or a setting in which active industry with minimal numbers of workers exists alongside defunct industry and toxic brownfields). This account centers upon the experiences of women who have too often been neglected in research on deindustrialized regions. In particular, it focuses on the author's elderly mother Arlene who has spent her entire life in Southeast Chicago. From her wheelchair on a backyard porch, Arlene observes this damaged landscape built out of the former Calumet wetlands. The article considers the relationships of care, centered around women, that continue to bind together and support the living despite decades of economic and environmental rupture and degradation. Utilizing the concept of a ‘palimpsest,’ the piece considers how different historical, ecological, and social realities and temporalities are both layered on top of each other and intermingle to create the complex landscape found in this former wetland region.
Happiness depletes me: Seeking happiness impairs limited resources and self‐regulation
Authors: Kim Aekyoung , Maglio Sam J. 
Published: January 2025

AbstractPeople seek happiness when they try to experience as much positive emotion (and as little negative emotion) as possible. A growing body of research suggests that seeking happiness, rather than resulting in yet more happiness, often leads to negative consequences, like less happiness and less available time. Adding to this happiness paradox, the current research examines whether seeking happiness leads to the impairment of self‐regulation due to the depletion of regulatory resources. We first demonstrate that trait‐level happiness‐seeking is associated with worse self‐regulation both via self‐report (Study 1) and actual behavior (Study 2). This result is corroborated in subsequent experiments that manipulate the pursuit of happiness and find that it, versus a control condition, makes people more vulnerable to lapses in self‐control behavior (Study 3) and, versus an accuracy‐seeking condition, makes people persist less in a challenging task (Study 4). Our findings suggest that continuous acts of happiness‐seeking may cause a chronic depletion of resources, which leads to daily self‐regulation failures, a critical component in a cycle of reduced personal happiness and well‐being.
Integrating Prenatal Exome Sequencing and Ultrasonographic Fetal Phenotyping for Assessment of Congenital Malformations: High Molecular Diagnostic Yield and Novel Phenotypic Expansions in a Consanguineous Cohort
Authors: El‐Dessouky Sara H. , Sharaf‐Eldin Wessam E. , Aboulghar Mona M. , Mousa Hatem A. , Zaki Maha S. , Maroofian Reza , Senousy Sameh M. , Eid Maha M. , Gaafar Hassan M. , Ebrashy Alaa , Shikhah Ahmed Z. , Abdelfattah Ahmed N. , Ezz‐Elarab Ahmed , Ateya Mohamed I. , Hosny Adel , Youssef Mohamed Abdefattah , Abdella Rana , Issa Mahmoud Y. , Matsa Lova S. , Abdelaziz Nahla , Saad Ahmed K. , Alavi Shahryar , Tajsharghi Homa , Abdalla Ebtesam M. 
Published: February 2025

ABSTRACTTo evaluate the diagnostic yield of prenatal exome sequencing (pES) in fetuses with structural anomalies detected by prenatal ultrasound in a consanguineous population. This was a prospective study of 244 anomalous fetuses from unrelated consanguineous Egyptian families. Detailed phenotyping was performed throughout pregnancy and postnatally, and pES data analysis was conducted. Genetic variants were prioritized based on the correlation of their corresponding human phenotype ontology terms with the ultrasound findings. Analyses were carried out to determine the diagnostic efficiency of pES and its correlation to the organ systems involved. The largest clinical category of fetuses referred for pES was those manifesting multisystem anomalies (104/244, 42.6%). pES provided a definitive diagnosis explaining the fetal anomalies in 47.1% (115/244) of the cases, with the identification of 122 pathogenic or likely pathogenic variants completely fitting with the phenotype. Variants of uncertain significance associated with the fetal phenotypes were detected in 84 fetuses (34%), while 18.44% (45/244) had negative results. Positive consanguinity is associated with a high diagnostic yield of ES. The novel variants and new fetal manifestations, described in our cohort, further expand the mutational and phenotypic spectrum of a wide variety of genetic disorders presenting with congenital malformations.
MetapathVis: Inspecting the Effect of Metapath in Heterogeneous Network Embedding via Visual Analytics
Authors: Li Quan , Tian Yun , Wang Xiyuan , Xie Laixin , Lin Dandan , Yi Lingling , Ma Xiaojuan 
Published: January 2025

AbstractIn heterogeneous graphs (HGs), which offer richer network and semantic insights compared to homogeneous graphs, the Metapath technique serves as an essential tool for data mining. This technique facilitates the specification of sequences of entity connections, elucidating the semantic composite relationships between various node types for a range of downstream tasks. Nevertheless, selecting the most appropriate metapath from a pool of candidates and assessing its impact presents significant challenges. To address this issue, our study introduces MetapathVis, an interactive visual analytics system designed to assist machine learning (ML) practitioners in comprehensively understanding and comparing the effects of metapaths from multiple fine‐grained perspectives. MetapathVis allows for an in‐depth evaluation of various models generated with different metapaths, aligning HG network information at the individual level with model metrics. It also facilitates the tracking of aggregation processes associated with different metapaths. The effectiveness of our approach is validated through three case studies and a user study, with feedback from domain experts confirming that our system significantly aids ML practitioners in evaluating and comprehending the viability of different metapath designs.
Optimal Monetary Policy Under Inflation Targeting in Tunisia: New Keynesian Model
Authors: Turki Dorra , Gabsi Foued Badr 
Published: February 2025

ABSTRACTThis article analyzes monetary policy under inflation targeting in a developing economy using a hybrid new Keynesian model to determine the optimal policy rule. Firstly, we estimate the model's parameters using a Bayesian approach with data from the Tunisian economy from 2000 Q1 to 2020 Q4. Then, we solve an optimization problem to evaluate different types of monetary policy rules within the framework of two inflation‐targeting regimes. The results show that a forward‐looking rule with interest rate smoothing minimizes welfare loss most effectively within a strict inflation‐targeting framework.
A Comparison of Human‐Written Versus AI‐Generated Text in Discussions at Educational Settings: Investigating Features for ChatGPT, Gemini and BingAI
Authors: Yildiz Durak Hatice , Eğin Figen , Onan Aytuğ 
Published: February 2025

ABSTRACTGenerative artificial intelligence (GenAI) models, such as ChatGPT, Gemini, and BingAI, have become integral to educational sciences, bringing about significant transformations in the education system and the processes of knowledge production. These advancements have facilitated new methods of teaching, learning, and information dissemination. However, the widespread adoption of these technologies raises serious concerns about academic ethics, content authenticity, and the potential for misuse in academic settings. This study aims to evaluate the linguistic features and differences between AI‐generated and human‐generated articles in educational contexts. By analysing various linguistic attributes such as singular word usage, sentence lengths, and the presence of repetitive or stereotypical phrases, the study identifies key distinctions between the two types of content. The findings indicate that human‐generated articles exhibit higher average singular word usage and longer sentence lengths compared to AI‐generated articles, suggesting a more complex and nuanced language structure in human writing. Furthermore, the study employs ensemble learning models, including Random Forest, Gradient Boosting, AdaBoost, Bagging, and Extra Trees, to classify and distinguish between AI‐generated and human‐generated texts. Among these, the Extra Trees model achieved the highest classification accuracy of 93%, highlighting its effectiveness in identifying AI‐generated content. Additionally, experiments using the BERTurk model, a transformer‐based language model, demonstrated a classification accuracy of 95%, particularly in distinguishing human‐generated articles from those produced by Gemini. The results of this study have significant implications for the future of education, as they underscore the critical need for robust tools and methodologies to differentiate between human and AI‐generated content.
Comparison of the Distance Learning Modalities Regarding Teaching Capacities and Performances on the Learners
Authors: Çelikbilek Yakup 
Published: February 2025

ABSTRACTEspecially after the COVID‐19 pandemic, people have distances among each other, and this situation has affected everything. Education, which has been the most important thing for humanity since the beginning of history, has also been affected. To continue and survive the system, people started using and adapting different distance learning with the help of electronic devices, internet and technology. However, the impact of these new distance learning modalities does not have the same teaching capacity and performance on the learners. Besides, evaluation of the learners, fairness, interaction, feedback, etc. are the other important problems of the new distance learning modalities. Nevertheless, to discover the effect of the distance learning modalities regarding teaching capacities and performances on the learners, they are compared in this study with an integrated fuzzy multi criteria decision making model. The proposed model consists of two parts; fuzzy analytic hierarchy process and ELECTRE methods. In the first part, weights and the decision matrix are calculated by using a fuzzy analytic hierarchy process. Then, in the second part, distance learning modalities are evaluated with the application of the ELECTRE method through the decision matrix according to weights.
Artificial Intelligence in Nursing: New Opportunities and Challenges
Authors: Ramírez‐Baraldes Estel·la , García‐Gutiérrez Daniel , García‐Salido Cristina 
Published: February 2025

ABSTRACTTo explore the opportunities and challenges of artificial intelligence (AI) in nursing and its impact. Bibliographic review using Arksey and O'Malley's framework, enhanced by Levac, Colquhoun and O'Brien and following PRISMA guidelines, including qualitative and mixed studies. MeSH terms and keywords such as nursing education and ethical considerations were used in databases such as PubMed, Scopus, Web of Science, CINAHL, IEEE Xplore and Google Scholar. Of all, 53 studies were included, highlighting various opportunities and challenges of AI integration and opportunities for personalised learning, training improvement and evaluation. Highlighting challenges related to academic integrity, accuracy, data privacy and security, for the development of critical thinking skills. The integration of AI in nursing education offers significant advantages for improving the quality and effectiveness of education, such as academic integrity, critical thinking and equitable access, for this reason, faculty training should be geared toward the integration of AI in nursing education.
School Satisfaction Predicts Quality of Life for Children With Severe Developmental Disabilities and Their Families
Authors: Bjornson Sarah E. , Perry Adrienne 
Published: January 2025

ABSTRACTBackgroundChildren with severe developmental disabilities are frequently excluded from research, and little is known about their quality of life (QoL). Using a mixed‐methods approach, this study examined relationships between school factors and QoL for these children and their families.Method171 parents of children with severe developmental disabilities completed questionnaires. Hierarchical regression analyses were performed examining predictors of child and family QoL. Of the 171 parents, 123 responded to an open‐ended question about their children's school experiences, and responses were analysed qualitatively.ResultsSignificant predictors of QoL included challenging behaviours, diagnoses, parent self‐efficacy, social support and (importantly) school satisfaction. Seven themes related to school experiences were identified qualitatively.ConclusionMany factors contribute to QoL. School has a significant influence on children and their parents and families. Different children have different strengths and difficulties, and school systems need to work with parents to optimise outcomes.
Association of bodyweight loss with changes in lipids, blood pressure, and fasting serum glucose following tirzepatide treatment in Japanese participants with type 2 diabetes: A post hoc analysis of the SURPASS J‐mono trial
Authors: Mimura Hanaka , Oura Tomonori , Chin Rina , Takeuchi Masakazu , Fujihara Kazuya , Sone Hirohito 
Published: February 2025

ABSTRACTAims/IntroductionIn the SURPASS J‐mono trial, tirzepatide demonstrated significant improvements in bodyweight and several metabolic parameters in Japanese participants with type 2 diabetes. This post hoc analysis evaluated the potential relationships between weight loss and metabolic improvements in SURPASS J‐mono.Materials and MethodsMetabolic parameter data from tirzepatide‐treated participants were analyzed by weight loss subgroups and compared to dulaglutide 0.75 mg. Correlations between changes from baseline to week 52 in weight loss and each metabolic parameter were assessed; Pearson correlation coefficients were derived. Mediation analyses were conducted to evaluate weight loss‐associated and ‐unassociated effects of tirzepatide vs dulaglutide 0.75 mg.ResultsThis analysis included 548 participants (tirzepatide: n = 411, dulaglutide: n = 137). Weight loss subgroups showed greater improvement in metabolic parameters with greater bodyweight loss. Significant (P < 0.05) but weak correlations between changes in bodyweight and triglycerides (r = 0.18–0.25), high‐density lipoprotein cholesterol (r = −0.37 to −0.29), and systolic blood pressure (r = 0.19–0.41) were observed across treatment groups; in diastolic blood pressure in the tirzepatide 5‐mg (r = 0.28), pooled tirzepatide (r = 0.20), and dulaglutide 0.75‐mg (r = 0.23) groups; and in fasting serum glucose in the dulaglutide 0.75‐mg (r = 0.18) and pooled tirzepatide (r = 0.13) groups. Weight loss was associated with treatment differences between tirzepatide and dulaglutide 0.75 mg to varying degrees across metabolic parameters, with improvements in fasting serum glucose having the lowest association with weight loss (36.6%–43.5%).ConclusionsIn this post hoc analysis, non‐glycemic and glycemic parameter improvements appeared differentially associated with weight loss, suggesting both weight loss‐associated and ‐unassociated effects of tirzepatide.
Vestibular epilepsy associated with a temporoparietal lobe meningioma in a cat
Authors: Peters Rosanne K. 
Published: February 2025

AbstractA 15‐year‐old male castrated domestic shorthair cat presented with increasingly frequent vestibular episodes. The cat exhibited episodes of a head tilt, nystagmus, abnormal mental state, vocalizing, hypersalivation, restlessness, and vomiting. Episodes were <60 minutes long with normal inter‐episode condition. Systemic evaluations were generally benign. Magnetic resonance imaging documented a small meningioma in the left temporoparietal junction area with no other structural evidence of vestibular system pathologies. The episode frequency decreased with administration of levetiracetam which was discontinued 91 days post‐craniotomy. The cat had 2 more limited vestibular episodes: 1 at 211 days after craniotomy, and the second at 489 days after craniotomy. The cat maintained normal inter‐episode condition until it was euthanized for unrelated transitional cell carcinoma 907 days post‐craniotomy.
Introducing Rveg: An R Package for Phytosociological Data Digitizing
Authors: Král Přemysl , Douda Jan 
Published: February 2025

ABSTRACTRveg is an open‐source package extension for the R statistical programming language, designed to facilitate the efficient and straightforward digitization of phytosociological relevés (vegetation plot observations) into plain comma‐separated values (CSV) format. This format is easily importable into the R environment for data editing and analysis. Rveg distinguishes itself through enhanced efficiency, simplicity, and accessibility compared to alternative software solutions.
Comment on Lawrence Cahoone, “Naturalism and the Cartesian ghost”
Authors: Pihlström Sami 
Published: February 2025

AbstractThis paper comments on Lawrence Cahoone's essay “Naturalism and the Cartesian ghost,” published in this issue of Metaphilosophy. Agreeing with Cahoone's criticism of reductive naturalism while identifying differences in our versions of non‐reductive naturalism, the paper focuses on questions concerning ontological dependence and the relation between naturalism and humanism.
Neurostimulation improves reading and alters communication within reading networks in dyslexia
Authors: Turker Sabrina , Kuhnke Philipp , Cheung Vicent K. M. , Weise Konstantin , Hartwigsen Gesa 
Published: February 2025

AbstractThe left temporo‐parietal cortex (TPC) is critical for phonological decoding during reading and appears hypoactive in dyslexia. Therefore, a promising approach to alleviating phonological deficits in dyslexia is to modulate left TPC functioning. However, it is unclear how neurostimulation alters activity and network interactions in dyslexia. To address this gap, we combined facilitatory transcranial magnetic stimulation (TMS) to the left TPC in adults with dyslexia with an overt word and pseudoword reading task during functional neuroimaging. We found TMS‐induced improvements in pseudoword reading, reduced contributions of right‐hemispheric regions during reading, and substantial changes between the core reading nodes and an extended network involving the right cerebellum. Stronger coupling between temporo‐occipital and frontal cortices was further directly linked to improvements in pseudoword reading. Collectively, we provide evidence for a crucial role of the left TPC for phonological decoding and show that TMS can successfully modulate reading networks to improve reading in dyslexia.