bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sudden-Onset Disaster Mass-Casualty Incident Response: A Modified Delphi Study on Triage, Prehospital Life Support, and Processes
Authors: Cuthbertson Joe , Weinstein Eric , Franc Jeffrey Michael , Jones Peter , Lamine Hamdi , Magalini Sabina , Gui Daniele , Lennquist Kristina , Marzi Federica , Borrello Alessandro , Fransvea Pietro , Fidanzio Andrea , Benítez Carlos Yanez , Achaz Gerhard , Dobson Bob , Malik Nabeela , Neeki Michael , Pirrallo Ronald , Castro Delgado Rafael , Strapazzon Giacomo , Farah Dell’Aringa Marcelo , Brugger Hermann , Rafalowsky Chaim , Marzoli Marcello , Fresu Giovanni , Kolstadbraaten Knut Magne , Lennquist Stenn , Tilsed Jonathan , Claudius Ilene , Cheeranont Piyapan , Callcut Rachel , Bala Miklosh , Kerbage Anthony , Vale Luis , Hecker Norman Philipp , Faccincani Roberto , Ragazzoni Luca , Caviglia Marta 
Published: September 2023

AbstractThe application and provision of prehospital care in disasters and mass-casualty incident response in Europe is currently being explored for opportunities to improve practice. The objective of this translational science study was to align common principles of approach and action and to identify how technology can assist and enhance response. To achieve this objective, the application of a modified Delphi methodology study based on statements derived from key findings of a scoping review was undertaken. This resulted in 18 triage, eight life support and damage control interventions, and 23 process consensus statements. These findings will be utilized in the development of evidence-based prehospital mass-casualty incident response tools and guidelines.
Elinor Ostrom on choice, collective action and rationality: a Senian analysis
Authors: Lewis Paul , Petersen Matias 
Published: September 2023

AbstractThis paper explores Elinor Ostrom's account of practical reason through the conceptual lens provided by a typology of dimensions of rational conduct advanced by Amartya Sen. On Sen's view, self-interested behaviour has three independent, and separable, features: self-centred welfare, self-welfare goal and self-goal choice. We suggest that Ostrom is committed to a version of rational choice theory that retains the assumptions of self-welfare goal and self-goal choice but, by acknowledging that people's welfare is affected by factors beyond their material consumption, departs from the assumption of self-welfare goal. We argue that this departure is not necessarily driven by an acknowledgement, along Senian lines, that people may have reasons for action other than the single-minded pursuit of their own goals, but rather by Ostrom's belief that the decision problem people face is so complex that maximising behaviour is rendered impossible. We illustrate this argument by analysing how Elinor Ostrom's position differs not only from Sen's but also from that of her husband and long-time collaborator Vincent Ostrom, who in his analysis of the covenantal aspects of rule-making seems to depart from the assumptions of instrumental rationality and preference-satisfaction.
Exploring the supervisory relationship in the context of culturally responsive supervision: a supervisee’s perspective
Authors: Vekaria Bianca , Thomas Tessa , Phiri Peter , Ononaiye Margarita 
Published: September 2023

Abstract
Clinical supervision is a relationship-based education, considered crucial in providing clinicians with emotional support, skill development and improving client outcomes. Culturally responsive supervision assumes that culture permeates clinical practice and supervision. Culturally responsive supervisors promote the development of cultural competence in supervision, through modelling, reflective discussion and responsivity. Research has demonstrated that greater perceived cultural responsivity in supervision may result in greater satisfaction for supervisees, particularly those from racially or ethnically minoritised (REM) backgrounds. The current study explores supervisee perceptions of culturally responsive supervision and supervisory relationships between different supervisory dyads, comprising supervisees from REM and White backgrounds. This was a cross-sectional design incorporating a between-groups comparison. Trainee and qualified clinical psychologists, counselling psychologists and CBT therapists (n = 222) completed an online survey. Perceptions of cultural responsivity and the supervisory relationship were explored. Participants provided information about their supervisor’s race and ethnicity and their own, and were organised into four supervisory dyads. Participants from REM backgrounds in dyads with White supervisors perceived their supervision as significantly less culturally responsive, with significantly lower quality supervisory relationships. Greater perceived cultural responsivity in supervision significantly predicted better supervisory relationships (regardless of participant cultural background). Findings suggest that culturally responsive supervisory practices may play an important role in developing cultural competence and strengthening the supervisory relationship, particularly in cross-cultural supervisory dyads. Findings present important clinical and theoretical implications.

Key learning aims

(1)
To understand the need for cultural responsivity within the context of clinical supervision.

(2)
To explore the differences between cross-cultural and culturally similar supervisory dyads in perceptions of cultural responsivity in supervision.

(3)
To explore the differences between cross-cultural and culturally similar supervisory dyads in perceptions of the quality of the supervisory relationship.

(4)
How does culturally unresponsive supervision impact supervisee experiences?
Resolving the Carbon‐Climate Feedback Potential of Wetland CO2 and CH4 Fluxes in Alaska
Authors: Ma Shuang , Bloom A. Anthony , Watts Jennifer D. , Quetin Gregory R. , Donatella Zona , Euskirchen Eugénie S. , Norton Alexander J. , Yin Yi , Levine Paul A. , Braghiere Renato K. , Parazoo Nicholas C. , Worden John R. , Schimel David S. , Miller Charles E. 
Published: September 2023

AbstractBoreal‐Arctic regions are key stores of organic carbon (C) and play a major role in the greenhouse gas balance of high‐latitude ecosystems. The carbon‐climate (C‐climate) feedback potential of northern high‐latitude ecosystems remains poorly understood due to uncertainty in temperature and precipitation controls on carbon dioxide (CO2) uptake and the decomposition of soil C into CO2 and methane (CH4) fluxes. While CH4 fluxes account for a smaller component of the C balance, the climatic impact of CH4 outweighs CO2 (28–34 times larger global warming potential on a 100‐year scale), highlighting the need to jointly resolve the climatic sensitivities of both CO2 and CH4. Here, we jointly constrain a terrestrial biosphere model with in situ CO2 and CH4 flux observations at seven eddy covariance sites using a data‐model integration approach to resolve the integrated environmental controls on land‐atmosphere CO2 and CH4 exchanges in Alaska. Based on the combined CO2 and CH4 flux responses to climate variables, we find that 1970‐present climate trends will induce positive C‐climate feedback at all tundra sites, and negative C‐climate feedback at the boreal and shrub fen sites. The positive C‐climate feedback at the tundra sites is predominantly driven by increased CH4 emissions while the negative C‐climate feedback at the boreal site is predominantly driven by increased CO2 uptake (80% from decreased heterotrophic respiration, and 20% from increased photosynthesis). Our study demonstrates the need for joint observational constraints on CO2 and CH4 biogeochemical processes—and their associated climatic sensitivities—for resolving the sign and magnitude of high‐latitude ecosystem C‐climate feedback in the coming decades.
The Effect of Arctic Sea‐Ice Loss on Extratropical Cyclones
Authors: Hay Stephanie , Priestley Matthew D. K. , Yu Hao , Catto Jennifer L. , Screen James A. 
Published: September 2023

AbstractTaking advantage of the Polar Amplification Model Intercomparison Project simulations and using a Lagrangian objective feature tracking algorithm, we determine the response of extratropical cyclones to sea‐ice loss and consequent weakening of the equator‐to‐pole near‐surface temperature gradient. The wintertime storm tracks are found to shift equatorward in the North Atlantic and over Europe, and eastward in the North Pacific. In both regions, cyclones become weaker and slower, particularly on the poleward flank of the storm tracks. On average, there are fewer individual cyclones in the extratropics each winter, they last longer, are weaker, and travel more slowly. These changes are greatest over the Arctic, but still statistically significant in midlatitudes despite being small compared to internal variability. Inter‐model spread in cyclone responses are not strongly correlated with that in Arctic warming or Arctic amplification. Little change in summertime cyclones is found.
Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models
Authors: Tran Vinh Ngoc , Ivanov Valeriy Y. , Xu Donghui , Kim Jongho 
Published: September 2023

AbstractApplications of process‐based models (PBM) for predictions are confounded by multiple uncertainties and computational burdens, resulting in appreciable errors. A novel modeling framework combining a high‐fidelity PBM with surrogate and machine learning (ML) models is developed to tackle these challenges and applied for streamflow prediction. A surrogate model permits high computational efficiency of a PBM solution at a minimum loss of its accuracy. A novel probabilistic ML model partitions the PBM‐surrogate prediction errors into reducible and irreducible types, quantifying their distributions that arise due to both explicitly perceived uncertainties (such as parametric) or those that are entirely hidden to the modeler (not included or unexpected). Using this approach, we demonstrate a substantial improvement of streamflow predictive accuracy for a case study urbanized watershed. Such a framework provides an efficient solution combining the strengths of high‐fidelity and physics‐agnostic models for a wide range of prediction problems in geosciences.
The Role of Nonlinear Energy Advection in Forming Asymmetric Structure of ENSO Teleconnections Over the North Pacific and North America
Authors: Wang Ya , Hu Kaiming , Huang Gang , Tao Weichen 
Published: September 2023

AbstractIn boreal winter, the El Niño/Southern Oscillation (ENSO)‐induced Pacific‐North American (PNA) teleconnection pattern is farther westward during La Niña relative to that in El Niño, causing discernible distinct climate implications. However, there has been a lack of consensus regarding the underlying mechanism driving this asymmetric structure. This study highlights the contribution of nonlinear kinetic energy advection (nKA) to this asymmetry. The zonally symmetric responses to ENSO, specifically the anomalies in zonal mean zonal flow, generate opposing nKA patterns by advecting anomalous eddy kinetic energy in the North Pacific, which leads to the shift of the PNA teleconnection pattern. In addition to nKA, transient eddy activities responded to changes of baroclinicity help maintain the asymmetry through a feedback effect. These findings underscore the importance of considering extratropical factors, such as nonlinear energy processes and synoptic‐scale transient eddies, in understanding the mechanism responsible for the asymmetric structure of the PNA teleconnection pattern.
Global Analysis of Height‐Resolved Ice Particle Categories From Spaceborne Lidar
Authors: Sato Kaori , Okamoto Hajime 
Published: September 2023

AbstractA more accurate representation of ice‐phase processes in numerical models necessitates an enhanced understanding of ice‐particle microphysics and their respective formation conditions. Prior in situ measurements have noted distinctive ice‐particle shape characteristics associated with different cloud systems and geographical locations. The recent advancement in ice‐particle backscattering theories enables a more comprehensive exploration of the geographical distribution and seasonal dependence of ice‐particle shape categories than ever before. This exploration is being undertaken for the first time using space‐borne lidar measurements. Distinct geographical preferences were observed for five different ice‐particle categories. Bullets/rosettes were the most common, followed by Voronois, which were especially prevalent in high‐level tropical clouds, and 2D columns, which were commonly found in mid‐ and low‐level clouds. Droxtals were primarily observed in high‐level subtropical regions. The global distribution of ice‐particle types provides valuable insights into the physical processes related to ice cloud particle shape formation, cloud duration, and radiative impacts.
PLK1 as a cooperating partner for BCL2-mediated antiapoptotic program in leukemia
Authors: Shah Kinjal , Nasimian Ahmad , Ahmed Mehreen , Al Ashiri Lina , Denison Linn , Sime Wondossen , Bendak Katerina , Kolosenko Iryna , Siino Valentina , Levander Fredrik , Palm-Apergi Caroline , Massoumi Ramin , Lock Richard B. , Kazi Julhash U. 
Published: September 2023

AbstractThe deregulation of BCL2 family proteins plays a crucial role in leukemia development. Therefore, pharmacological inhibition of this family of proteins is becoming a prevalent treatment method. However, due to the emergence of primary and acquired resistance, efficacy is compromised in clinical or preclinical settings. We developed a drug sensitivity prediction model utilizing a deep tabular learning algorithm for the assessment of venetoclax sensitivity in T-cell acute lymphoblastic leukemia (T-ALL) patient samples. Through analysis of predicted venetoclax-sensitive and resistant samples, PLK1 was identified as a cooperating partner for the BCL2-mediated antiapoptotic program. This finding was substantiated by additional data obtained through phosphoproteomics and high-throughput kinase screening. Concurrent treatment using venetoclax with PLK1-specific inhibitors and PLK1 knockdown demonstrated a greater therapeutic effect on T-ALL cell lines, patient-derived xenografts, and engrafted mice compared with using each treatment separately. Mechanistically, the attenuation of PLK1 enhanced BCL2 inhibitor sensitivity through upregulation of BCL2L13 and PMAIP1 expression. Collectively, these findings underscore the dependency of T-ALL on PLK1 and postulate a plausible regulatory mechanism.
Metabolic intervention by low carbohydrate diet suppresses the onset and progression of neuroendocrine tumors
Authors: Chen Yu , Yamamoto Tatsuki , Takahashi Yura , Moro Tomoka , Tajima Tomoko , Sakaguchi Yukiko , Sakata Naoaki , Yokoyama Akihiko , Hijioka Susumu , Sada Akane , Tabata Yuko , Ohki Rieko 
Published: September 2023

AbstractInsulin signaling often plays a role in the regulation of cancer, including tumor initiation, progression, and response to treatment. In addition, the insulin-regulated PI3K-Akt-mTOR pathway plays an important role in the regulation of islet cell proliferation, and this pathway is hyperactivated in human non-functional pancreatic neuroendocrine tumors (PanNETs). We, therefore, investigated the effect of a very low carbohydrate diet (ketogenic diet) on a mouse model that develops non-functional PanNETs to ask how reduced PI3K-Akt-mTOR signaling might affect the development and progression of non-functional PanNET. We found that this dietary intervention resulted in lower PI3K-Akt-mTOR signaling in islet cells and a significant reduction in PanNET formation and progression. We also found that this treatment had a significant effect on the suppression of pituitary NET development. Furthermore, we found that non-functional PanNET patients with lower blood glucose levels tend to have a better prognosis than patients with higher blood glucose levels. This preclinical study shows that a dietary intervention that results in lower serum insulin levels leads to lower insulin signals within the neuroendocrine cells and has a striking suppressive effect on the development and progression of both pancreatic and pituitary NETs.
Safety outcomes of the first Rigi10™ malleable penile prostheses implanted worldwide
Authors: Wilson Steven K. , Wen Lexiaochuan , Carrion Rafael , Eid Francois , Lentz Aaron , Shah Bhavik , Koca Orhan , Hammad Muhammed A. M. , Gupta Vijayant Govinda , Hamdan Mohammad 
Published: September 2023

AbstractImplantation of penile prosthesis is considered when conservative measures fail or are unacceptable to patients’ wishing treatment for erectile dysfunction. In the United States (US), inflatable penile prostheses are more often used than malleable penile prostheses (MPP). Outside the US, the reverse is true because third-party reimbursement is not available, and MPP is considerably cheaper. Two American manufacturers make MPP; presently, a new manufacturer, Rigicon (Ronkonkoma NY), has recently begun to sell its MPP worldwide. Patient information forms submitted to the manufacturer between March 1, 2019, and December 8, 2022, were used to conduct an initial safety study for 605 first-time patients implanted with Rigicon10® by 46 physicians in 15 countries with a mean follow-up of 21.6 months. It has the same configuration of trimmable, paired silicone rods containing a twisted stainless-steel wire for bendability. However, it is available in six widths with hydrophilic coating compared to three widths offered by competitors. Revision or explantation was needed in 6 of 605 patients (0.99%) with half of those being removed for dissatisfaction (0.50%). Two (0.33%) suffered device infection and one (0.16%) required removal for erosion. Kaplan–Meier’s statistical analysis showed three-year implant survival from revision = 99.2%. It demonstrated a comparable safety record with less than 1.00% of patients requiring reoperation.
Mining multi-center heterogeneous medical data with distributed synthetic learning
Authors: Chang Qi , Yan Zhennan , Zhou Mu , Qu Hui , He Xiaoxiao , Zhang Han , Baskaran Lohendran , Al’Aref Subhi , Li Hongsheng , Zhang Shaoting , Metaxas Dimitris N. 
Published: September 2023

AbstractOvercoming barriers on the use of multi-center data for medical analytics is challenging due to privacy protection and data heterogeneity in the healthcare system. In this study, we propose the Distributed Synthetic Learning (DSL) architecture to learn across multiple medical centers and ensure the protection of sensitive personal information. DSL enables the building of a homogeneous dataset with entirely synthetic medical images via a form of GAN-based synthetic learning. The proposed DSL architecture has the following key functionalities: multi-modality learning, missing modality completion learning, and continual learning. We systematically evaluate the performance of DSL on different medical applications using cardiac computed tomography angiography (CTA), brain tumor MRI, and histopathology nuclei datasets. Extensive experiments demonstrate the superior performance of DSL as a high-quality synthetic medical image provider by the use of an ideal synthetic quality metric called Dist-FID. We show that DSL can be adapted to heterogeneous data and remarkably outperforms the real misaligned modalities segmentation model by 55% and the temporal datasets segmentation model by 8%.
A generalizable Cas9/sgRNA prediction model using machine transfer learning with small high-quality datasets
Authors: Ham Dalton T. , Browne Tyler S. , Banglorewala Pooja N. , Wilson Tyler L. , Michael Richard K. , Gloor Gregory B. , Edgell David R. 
Published: September 2023

AbstractThe CRISPR/Cas9 nuclease from Streptococcus pyogenes (SpCas9) can be used with single guide RNAs (sgRNAs) as a sequence-specific antimicrobial agent and as a genome-engineering tool. However, current bacterial sgRNA activity models struggle with accurate predictions and do not generalize well, possibly because the underlying datasets used to train the models do not accurately measure SpCas9/sgRNA activity and cannot distinguish on-target cleavage from toxicity. Here, we solve this problem by using a two-plasmid positive selection system to generate high-quality data that more accurately reports on SpCas9/sgRNA cleavage and that separates activity from toxicity. We develop a machine learning architecture (crisprHAL) that can be trained on existing datasets, that shows marked improvements in sgRNA activity prediction accuracy when transfer learning is used with small amounts of high-quality data, and that can generalize predictions to different bacteria. The crisprHAL model recapitulates known SpCas9/sgRNA-target DNA interactions and provides a pathway to a generalizable sgRNA bacterial activity prediction tool that will enable accurate antimicrobial and genome engineering applications.
Highly pathogenic avian influenza A (H5N1) in marine mammals and seabirds in Peru
Authors: Leguia Mariana , Garcia-Glaessner Alejandra , Muñoz-Saavedra Breno , Juarez Diana , Barrera Patricia , Calvo-Mac Carlos , Jara Javier , Silva Walter , Ploog Karl , Amaro Lady , Colchao-Claux Paulo , Johnson Christine K. , Uhart Marcela M. , Nelson Martha I. , Lescano Jesus 
Published: September 2023

AbstractHighly pathogenic avian influenza (HPAI) A/H5N1 viruses (lineage 2.3.4.4b) are rapidly invading the Americas, threatening wildlife, poultry, and potentially evolving into the next global pandemic. In November 2022 HPAI arrived in Peru, triggering massive pelican and sea lion die-offs. We report genomic characterization of HPAI/H5N1 in five species of marine mammals and seabirds (dolphins, sea lions, sanderlings, pelicans and cormorants). Peruvian viruses belong to lineage 2.3.4.4b, but they are 4:4 reassortants where 4 genomic segments (PA, HA, NA and MP) position within the Eurasian lineage that initially entered North America from Eurasia, while the other 4 genomic segments (PB2, PB1, NP and NS) position within the American lineage (clade C) that circulated in North America. These viruses are rapidly accruing mutations, including mutations of concern, that warrant further examination and highlight an urgent need for active local surveillance to manage outbreaks and limit spillover into other species, including humans.
Black carbon scavenging by low-level Arctic clouds
Authors: Zieger Paul , Heslin-Rees Dominic , Karlsson Linn , Koike Makoto , Modini Robin , Krejci Radovan 
Published: September 2023

AbstractBlack carbon (BC) from anthropogenic and natural sources has a pronounced climatic effect on the polar environment. The interaction of BC with low-level Arctic clouds, important for understanding BC deposition from the atmosphere, is studied using the first long-term observational data set of equivalent black carbon (eBC) inside and outside of clouds observed at Zeppelin Observatory, Svalbard. We show that the measured cloud residual eBC concentrations have a clear seasonal cycle with a maximum in early spring, due to the Arctic haze phenomenon, followed by cleaner summer months with very low concentrations. The scavenged fraction of eBC was positively correlated with the cloud water content and showed lower scavenged fractions at low temperatures, which may be due to mixed-phase cloud processes. A trajectory analysis revealed potential sources of eBC and the need to ensure that aerosol-cloud measurements are collocated, given the differences in air mass origin of cloudy and non-cloudy periods.