bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improve the management of cancer-related cognitive impairment in clinical settings: a European Delphi study
Authors: Duivon Mylène , Lange Marie , Binarelli Giulia , Lefel Johan , Hardy-Léger Isabelle , Kiasuwa-Mbengi Régine , Méric Jean-Baptiste , Charles Cécile , Joly Florence 
Published: November 2023

Abstract
Purpose
Cancer-related cognitive impairment (CRCI) is under-addressed by healthcare professionals owing to a lack of clinical management guidelines. This European Delphi study proposes recommendations to healthcare professionals for the management of CRCI in patients with non-central nervous system (non-CNS) cancers.

Methods
Twenty-two recommendations were developed based on a literature review and authors’ clinical experience, split into three categories: screening, cognitive assessment, intervention. The survey included European professionals, experts in CRCI. The Delphi method was used: experts rated the clinical relevancy of recommendations on a 9-point Likert scale in three rounds. A recommendation was accepted if all votes were between 7 and 9. Recommendations not accepted in round 1 and round 2 were deleted, or modified and rated in round 3.

Results
Eighteen professionals (psychologists, physicians, researchers) voted and accepted 15 recommendations. Experts recommended the systematic screening of CRCI, followed by a short objective cognitive assessment, if complaints screened. A comprehensive evaluation is recommended if CRCI persists 6 months post-treatment. Cognitive rehabilitation, physical activity, meditative-movement therapy, and multimodal intervention should be offered. Recommendations about frequency and duration of interventions, the professional to administer cognitive rehabilitation and the use of meditation and cognitive training without psychoeducation were not accepted.

Conclusions
This survey provides 15 recommendations to assist healthcare professionals in detecting, assessing and offering interventions for CRCI.

Implications for cancer survivors
These recommendations should be included in supportive care to help healthcare professionals to detect CRCI and propose the best available intervention for patients with cognitive complaints. Developing CRCI management in clinical settings would improve patients’ quality of life.
Generative AI and Author Remuneration
Authors: Senftleben Martin 
Published: November 2023

AbstractWith the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.
Lay Theologians as Experts in the Early Modern Period
Authors: Martin Lucinda 
Published: November 2023

AbstractIn the Early Modern period, many professions, including theology, did not yet have systems to validate expertise. Some laypeople were able to acquire deep theological knowledge or have more impact than church-ordained theologians. The Reformation promoted the idea of a »Priesthood of Believers,« but it remained little developed, since clergy continued to administer sacraments. Lay activity surged in the sixteenth and seventeenth centuries under the influence of spiritualists, who believed that all things are connected by the Divine, and thus, that people do not need clergy to access God. Christian theosophers saw nature as divine revelation, and their study of the natural world also began to undermine traditional theology. Since through confessionalization, state and church power were deeply intertwined, the state tried to enforce adherence to confession. The attempts of the early modern state to define who could act as a theologian have left traces in modern historiography.
The moderating effect of resting heart rate variability on the relationship between pain catastrophizing and depressed mood: an empirical study
Authors: Kocsel Natália , Galambos Attila , Szőke Júlia , Kökönyei Gyöngyi 
Published: November 2023

AbstractPrevious research indicated that pain catastrophizing—a negative emotional and cognitive response toward actual or anticipated pain—could contribute to pain intensity and could be associated with depressive symptoms not just in chronic pain patients but in healthy population as well. Accumulated evidence suggests that resting heart rate variability (HRV) as a putative proxy of emotion regulation could moderate the association of self-reported pain catastrophizing and depressed mood. In the present cross-sectional study, we investigated these associations in a healthy young adult sample controlling for the effect of trait rumination. Seventy-two participants (58 females, mean age = 22.2 ± 1.79 years ranging from 19 to 28 years old) completed the Pain Catastrophizing Scale, the Zung Self-Rating Depression Scale and the Ruminative Response Scale. Resting HRV was measured by time domain metric of HRV, the root mean square of successive differences (RMSSD). The results showed that the relationship between pain catastrophizing and depressive symptoms is significantly moderated by resting HRV (indexed by lnRMSSD). Specifically, in participants with higher resting HRV there was no significant relationship between the two investigated variables, while in participants with relatively low or medium HRV pain catastrophizing and depressed mood showed significant positive association. The relationship remained significant after controlling for sex, age and trait rumination. These results might indicate that measuring pain catastrophizing and depressive symptoms is warranted in non-clinical samples as well and higher resting HRV could have a buffer or protective role against depressive symptoms.
Water quality criteria derivation and ecological risk assessment for ibuprofen, a common antifever drug in China
Authors: Liu Shuai , Zhou Xingzheng , Wang Zhijian , Xie Dan , Li Zhengyan 
Published: November 2023

AbstractIbuprofen, an extensively consumed antifever drug, has been inevitably recorded in various aquatic environments in China. However, water quality criteria (WQC) are rarely derived, thereby hindering the ecological risk assessment for this emerging pollutant. This study, therefore, aims to determine the WQC for IBU by screening toxicity data of freshwater and seawater species residing in China and simulating the species sensitivity distribution curves. The ecological risk of IBU in the aquatic environment of China was subsequently assessed through hazard quotient and margin of safety at 10% methods. A total of 15 acute and 9 chronic toxicity data were collected from the literature, and the acute and chronic WQC for IBU were derived as 7.6 mg/L and 2.9 μg/L, respectively. The ecological risk of IBU was generally negligible, with 21.4% of the waters in China at low chronic risk. The long-term effects and environmental existence of IBU, however, warrant further concern considering the shortage of ecotoxicology data and the popularity of usage for this well-known pharmaceutical.
Diagnostic stewardship and the coronavirus disease 2019 (COVID-19) pandemic: Lessons learned for prevention of emerging infectious diseases in acute-care settings
Authors: Epstein Lauren , Diekema Daniel J. , Morgan Daniel J. , Fakih Mohamad G. , Lee Francesca , Gottlieb Lindsey , Leung Elizabeth , Yen Christina , Sullivan Kaede V. , Hayden Mary K. 
Published: November 2023

Executive summaryThe coronavirus disease 2019 (COVID-19) pandemic has demonstrated the importance of stewardship of viral diagnostic tests to aid infection prevention efforts in healthcare facilities. We highlight diagnostic stewardship lessons learned during the COVID-19 pandemic and discuss how diagnostic stewardship principles can inform management and mitigation of future emerging pathogens in acute-care settings. Diagnostic stewardship during the COVID-19 pandemic evolved as information regarding transmission (eg, routes, timing, and efficiency of transmission) became available. Diagnostic testing approaches varied depending on the availability of tests and when supplies and resources became available. Diagnostic stewardship lessons learned from the COVID-19 pandemic include the importance of prioritizing robust infection prevention mitigation controls above universal admission testing and considering preprocedure testing, contact tracing, and surveillance in the healthcare facility in certain scenarios. In the future, optimal diagnostic stewardship approaches should be tailored to specific pathogen virulence, transmissibility, and transmission routes, as well as disease severity, availability of effective treatments and vaccines, and timing of infectiousness relative to symptoms. This document is part of a series of papers developed by the Society of Healthcare Epidemiology of America on diagnostic stewardship in infection prevention and antibiotic stewardship.1
Law Libraries in the Information Age: A Critical Perspective
Authors: Kunkel Rebecca 
Published: November 2023

AbstractThis article traces the influence of theories of the information society, originating in the post-industrial theory of Daniel Bell, on developments in law librarianship. It argues that the main thrust of this influence has been to foster a conservative professional culture that emphasizes individual professional development and technological solutions in lieu of critical engagement with the political and economic forces responsible for eroding public and collective norms.
Smurfing in Electronic Banking: A Legal Investigation of the Potential for Transnational Money Laundering
Authors: Thommandru Abhishek 
Published: November 2023

AbstractMoney laundering is a serious crime that is often associated with organized crime, terrorism, and other illegal activities, often by transferring them through a series of financial transactions and institutions. In this study, the researchers focused on detecting a specific type of money laundering called “smurfing”, which involves breaking up large amounts of money into smaller transactions. The growing market for banking services and the intense competition among banks has led to a shift towards electronic banking. This shift is driven by changes in the way that customers use banking services and the advancements in technology. Electronic banking offers several benefits, such as faster transaction processing and the ability to avoid waiting in line at physical branches. However, it also carries risks, including the potential for electronic payment systems to be used for money laundering. With the development of technology, money laundering can now be done through online betting and casino platforms, as well as through the buying and selling of cryptocurrencies. This article aims to explore the ways in which electronic payment systems, online gambling, and cryptocurrencies can be used to launder illegally acquired money.
Morphological and molecular characterization of Encotyllabe vallei Monticelli, 1907 (Monopisthocotylea, Monogenea) from the gilthead seabream Sparus aurata Linnaeus (Teleostei, Sparidae) from the southwestern Mediterranean and notes on host specificity of the genus Encotyllabe Diesing, 1850
Authors: Zedam Fatima-Zohra , Bouguerche Chahinez , Ahmed Mohammed , Tazerouti Fadila 
Published: November 2023

Abstract
Incomplete original descriptions, the unavailability or poor conditions of specimens and the lack of detailed redescriptions have caused the validity of several species of the genus Encotyllabe Diesing, 1850 to be questioned. To date, seven of the recognized species were described upon one or two specimens, hindering study of intraspecific variations. This was made worse by considering few morphoanatomical differences sufficient to erect new species. Among Encotyllabe spp. occurring in Mediterranean waters, E. vallei was first described from the gilt-head bream Sparus aurata (Sparidae) off Italy. Although beautifully illustrated for a paper from that century, morphometric data for E. vallei from the type-host S. aurata remain unavailable. Previous records of E. vallei provided either morphometrical or molecular data, and its validity was questioned. We provide a redescription of E. vallei based on newly collected specimens from the S. aurata from the southwestern Mediterranean (off Algeria) using integrative taxonomy. Analysis of cox1 sequences of E. vallei from S. aurata, compared to sequences from other sparid hosts, mainly Pagellus bogaraveo, revealed a divergence not exceeding 2%, suggesting a stenoxenic specificity for this monogenean. Given that P. bogaraveo is the type-host for Encotyllabe pagelli, we were tempted to suggest a synonymy between E. vallei and E. pagelli. We refrained from doing so because E. pagelli was first described from the Atlantic coast off Brest, France. Morphological data for Encotyllabe from P. bogaraveo are warranted assessing the host specificity of E. vallei and whether there might be a species complex within individual sparid fish species.
Systematic Bias Correction in Ocean Mesoscale Forecasting Using Machine Learning
Authors: Liu Guangpeng , Bracco Annalisa , Brajard Julien 
Published: November 2023

AbstractThe ocean circulation is modulated by meandering currents and eddies. Forecasting their evolution is a key target of operational models, but their forecast skill remains limited. We propose a machine learning approach that improves the output of an ocean circulation model by learning and predicting its systematic biases. This method can be applied a priori to any region, and is tested in the Gulf of Mexico, where the Loop Current (LC) and the large anticyclonic eddies that detach from it are major forecasting targets. The LC dynamics are recurrent and lie on a low‐dimensional dynamical attractor. Building upon the information gained analyzing this low dimensional attractor, we improve the representation of sea surface anomalies in model outputs through information from satellite altimeter data using a Sequence‐to‐Sequence model, which is a special class of Recurrent Neural Network. Building upon the HYCOM‐NCODA analysis system, we deliver a correction to the forecast at the observation resolution. For at least 15 days the proposed method learns to forecast the systematic bias in the HYCOM‐NCODA, outperforming persistence, and improving the forecast. This data‐driven approach is fast and can be implemented as an added step to any dynamical hindcasting or forecasting model. It offers an interesting avenue for further developing hybrid modeling tools. In these tools, fundamental physical conservations are preserved through the integration of partial differential equations which obey them. In addition, the method highlights specific deficiencies of the hindcast system that deserve further investigation in the future.
RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections
Authors: Jones Chris D. , Ziehn Tilo , Anand Jatin , Bastos Ana , Burke Eleanor , Canadell Josep G. , Cardoso Manoel , Ernst Yolandi , Jain Atul K. , Jeong Sujong , Keller Elizabeth D. , Kondo Masayuki , Lauerwald Ronny , Lin Tzu‐Shun , Murray‐Tortarolo Guillermo , Nabuurs Gert‐Jan , O’Sullivan Mike , Poulter Ben , Qin Xiaoyu , von Randow Celso , Sanches Marcos , Schepaschenko Dmitry , Shvidenko Anatoly , Smallman T. Luke , Tian Hanqin , Villalobos Yohanna , Wang Xuhui , Yun Jeongmin 
Published: November 2023

AbstractProjections of future carbon sinks and stocks are important because they show how the world's ecosystems will respond to elevated CO2 and changes in climate. Moreover, they are crucial to inform policy decisions around emissions reductions to stay within the global warming levels identified by the Paris Agreement. However, Earth System Models from the 6th Coupled Model Intercomparison Project (CMIP6) show substantial spread in future projections—especially of the terrestrial carbon cycle, leading to a large uncertainty in our knowledge of any remaining carbon budget (RCB). Here we evaluate the global terrestrial carbon cycle projections on a region‐by‐region basis and compare the global models with regional assessments made by the REgional Carbon Cycle Assessment and Processes, Phase 2 activity. Results show that for each region, the CMIP6 multi‐model mean is generally consistent with the regional assessment, but substantial cross‐model spread exists. Nonetheless, all models perform well in some regions and no region is without some well performing models. This gives confidence that the CMIP6 models can be used to look at future changes in carbon stocks on a regional basis with appropriate model assessment and benchmarking. We find that most regions of the world remain cumulative net sources of CO2 between now and 2100 when considering the balance of fossil‐fuels and natural sinks, even under aggressive mitigation scenarios. This paper identifies strengths and weaknesses for each model in terms of its performance over a particular region including how process representation might impact those results and sets the agenda for applying stricter constraints at regional scales to reduce the uncertainty in global projections.
The Multi‐Scale Interactions of Atmospheric Phenomenon in Mean and Extreme Precipitation
Authors: Prein Andreas F. , Mooney Priscilla A. , Done James M. 
Published: November 2023

AbstractClimate change increases the frequency and intensity of extreme precipitation, which in combination with rising population enhances exposure to major floods. An improved understanding of the atmospheric processes that cause extreme precipitation events would help to advance predictions and projections of such events. To date, such analyses have typically been performed rather unsystematically and over limited areas (e.g., the U.S.) which has resulted in contradictory findings. Here we present the Multi‐Object Analysis of Atmospheric Phenomenon algorithm that uses a set of 12 common atmospheric variables to identify and track tropical and extra‐tropical cyclones, cut‐off lows, frontal zones, anticyclones, atmospheric rivers (ARs), jets, mesoscale convective systems (MCSs), and equatorial waves. We apply the algorithm to global historical data between 2001–2020 and associate phenomena with hourly and daily satellite‐derived extreme precipitation estimates in major climate regions. We find that MCSs produce the vast majority of extreme precipitation in the tropics and some mid‐latitude land regions, while extreme precipitation in mid and high‐latitude ocean and coastal regions are dominated by cyclones and ARs. Importantly, most extreme precipitation events are associated with phenomena interacting across scales that intensify precipitation. These interactions are a function of the intensity (i.e., rarity) of extreme events. The presented methodology and results could have wide‐ranging applications including training of machine learning methods, Lagrangian‐based evaluation of climate models, and process‐based understanding of extreme precipitation in a changing climate.
The Indo‐Pacific Maritime Continent Barrier Effect on MJO Ensemble Prediction
Authors: Abhik S. , Zhang Chidong , Hendon Harry H. 
Published: November 2023

AbstractThe barrier effect of the Indo‐Pacific Maritime Continent (MC) on the Austral summertime Madden‐Julian Oscillation (MJO) is explored using retrospective forecasts from subseasonal‐to‐seasonal (S2S) prediction models. The general MJO prediction skills in the S2S models are evaluated and the top‐performing models are identified. We select two sets of observed MJO events ‐ continuously propagating across the MC into the western Pacific (WP) and blocked by the MC. The continuously propagating MJO events are better predicted than the blocked MJO events for their systematic eastward propagating behavior, especially in the ocean‐atmosphere coupled models. Although the best four models and their ensemble consistently produce greater prediction skills of the continuously propagating MJOs, the all‐model ensemble is not better than the top‐performing models. Our analysis suggests that a realistic representation of air‐sea interaction over the WP is crucial for better MJO prediction.
A novel flow-cytometric based method to assess post-HSCT donor chimerism exploiting RNA hybridization
Authors: Nucera Silvia , Sindoni Marco M. , Bugarin Cristina , Villa Tiziana , Biondi Andrea , Balduzzi Adriana , Gaipa Giuseppe 
Published: November 2023

AbstractAnalysis of donor-recipient chimerism after hematopoietic stem cell transplantation (HSCT) is of pivotal importance for patient’s clinical management, especially in the context of mixed chimerism. Patients are routinely monitored for chimerism in sorted subsets of peripheral blood cells. However, measurement of chimerism in sorted immune cell subsets is technically challenging and time consuming. We here propose a novel, flow cytometry-based approach to detect donor cell chimerism in sex-mismatched HSCT. We exploit RNA PrimeFlow™ system, based on RNA hybridization, to detect mRNA from a lysine demethylase encoded by Y chromosome, KDM5D. This approach allows to distinguish male and female derived cells with around 1% sensitivity. The procedure can be coupled with multiparametric immunophenotyping to assess chimerism in specific immune cell subsets without the need for prior FACS-sorting. We apply this method to a cohort of HSCT patients (n = 10) and we show that it is consistent with standard PCR-based method. We also show that different T lymphocyte subsets display variable degrees of donor chimerism, especially in CD8+ T cell compartment where we observe an enrichment for recipient chimerism in central memory T cells. This method can be exploited to advance current knowledge on immune reconstitution focusing on specific subsets avoiding prior FACS-sorting.