bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distributed Maritime Operations and the Medical Challenge: How a Medical Common Operating Picture Can Help Bridge the Gap
Authors: Cole Jacob H , Hughey Scott , Kotler Joshua , de Geus John , Brust Adam , Checchi Kyle , Lin Andrew 
Published: June 2024

ABSTRACT
This work explores the challenges of delivering medical care in the geographically dispersed and resource-constrained environment of Distributed Maritime Operations (DMO) and Expeditionary Advanced Base Operations (EABO). Traditional medical planning approaches may struggle to adapt to the vast operational space, extended evacuation times, and limited medical force present in these scenarios. The concept of a Medical Common Operating Picture (COP) emerges as a potential solution. By providing a shared view of the medical situation across the theater, encompassing logistics, personnel, and patient data, a medical COP has the potential to facilitate medical command and control (MED C2) in DMO/EABO. The implementation of a medical COP has the potential to optimize resource allocation, enhance situational awareness, streamline medical evacuation, and reduce healthcare provider moral injury in large-scale combat operations. A medical COP will allow medical planners to make informed decisions on triage, resupply, and evacuation, ensuring the best use of limited medical resources. This is done by leveraging a comprehensive understanding of the medical landscape, enabling informed clinical and operational decision-making by humanitarian and combat personnel respectively. A fully realized medical COP system will enable a dynamic theater evacuation policy, balancing the conflicting needs of patient care at higher echelons with the operational expediency of returning servicemembers to their operational units, thereby maximizing evacuation effectiveness. It will further enable medical personnel to perform dynamic casualty triage based on operational realities, mitigating potential ethical dilemmas. Implementing such a medical COP system will require overcoming communication limitations to facilitate data exchange and potentially integrating clinical decision support tools for real-time data analysis and recommendations. It will also require the rapid adoption of modernized operational medicine documentation solutions by medical assets within the operational forces. Ultimately, this work suggests that a medical COP has the potential to bridge the gap between traditional medical planning and the unique demands of DMO/EABO, ultimately optimizing casualty care, maximizing resource efficiency, and preserving the fighting force.
Candida auris: Outbreak, surveillance and epidemiological monitoring in Northern Greece
Authors: Poulopoulou Aikaterina , Sidiropoulou Anna , Sarmourli Theopisti , Zachrou Evaggelia , Michailidou Chrysi , Zarras Charalampos , Vagdatli Eleni , Massa Eleni , Mouloudi Eleni , Pyrpasopoulou Athina , Meletis Georgios , Protonotariou Efthymia , Skoura Lemonia , Metallidis Simeon , Karampatakis Theodoros , Katsifa Eleni , Nikopoulou Anna , Louka Alexandra , Rizou Artemisia , Arvaniti Kostoula , Kouvelis Vassili , Borman Andrew , Roilides Emmanuel , Vyzantiadis Timoleon-Achilleas 
Published: June 2024

Abstract
Candida auris is an emerging fungal pathogen associated with multi-drug resistance rates and widespread outbreaks in hospitals and healthcare units worldwide. Sequencing studies have revealed that different clonal lineages of the fungus seem to be prevalent among distinct geographical sites. The first case of C. auris in Northern Greece was reported in Thessaloniki in October 2022, almost 2 years after the first isolation in Greece (Athens 2019). The Mycology Laboratory of the Medical School of Aristotle University of Thessaloniki stands as the reference laboratory for fungal diseases in Northern Greece and a meticulous search for the yeast, in plenty of suspicious samples, has been run since 2019 in the Lab as well as a retrospective analysis of all its yeasts’ collection, back to 2008, with negative results for the presence of C. auris. Here, are presented the findings concerning the outbreak and surveillance of C. auris in Northern Greece, mainly the region of Thessaloniki and the broader area of Macedonia, from October 2022 until August 2023. The isolates from Northern Greece continue to fall in Clade I and present with an almost equal and stable sensitivity profile until now.
Results of a long-term optical variability study of 11 quasars and VRI photometry of comparison stars
Authors: Minev Milen , Trifonov Trifon , Ivanov Valentin D , Ovcharov Evgeni , Bozhilov Vladimir , Valcheva Antoniya , Kostov Andon , Nedialkov Petko 
Published: June 2024

ABSTRACT
We present the results of a 15-yr long-term optical monitoring of 11 quasars conducted with the 2-m Ritchey–Chretien–Coude and the 50/70 cm Schmidt telescopes at the Rozhen National Astronomical Observatory, Bulgaria. Our observations are performed with standard Johnson-Cousins $VRI$ band filters and for each quasar we present a set of comparison standard stars that can be used for monitoring of objects in these fields (including finding charts for the stars identification). The variability and periodicity of each quasar are analysed individually and discussed. The physical properties of each quasar, such as their classification, redshift, and radio structures, are also discussed based on previous literature. Damped random walk model shows the best or the second best fit to the light curves of all objects. However, in six cases periodic models provide comparably good fits and make these six objects a valuable addition to the growing sample of quasars with periodic flux variation. They will be suitable for further investigation of the hitherto unclear mechanisms that give rise to this variability pattern. Our results provide important insights into the long-term variability and physical properties of quasars, which can further deepen our understanding of the nature and evolution of active galaxy nuclei.
Unveiling the (in)consistencies among the galaxy stellar mass function, star formation histories, satellite abundances, and intracluster light from a semi-empirical perspective
Authors: Fu Hao , Shankar Francesco , Ayromlou Mohammadreza , Koutsouridou Ioanna , Cattaneo Andrea , Bertemes Caroline , Bellstedt Sabine , Martín-Navarro Ignacio , Leja Joel , Allevato Viola , Bernardi Mariangela , Boco Lumen , Dimauro Paola , Gruppioni Carlotta , Lapi Andrea , Menci Nicola , Rodríguez Iván Muñoz , Puglisi Annagrazia , Alonso-Tetilla Alba V 
Published: June 2024

ABSTRACT
In a hierarchical, dark matter-dominated Universe, stellar mass functions (SMFs), galaxy merger rates, star formation histories (SFHs), satellite abundances, and intracluster light (ICL), should all be intimately connected observables. However, the systematics affecting observations still prevent universal and uniform measurements of, for example, the SMF and the SFHs, inevitably preventing theoretical models to compare with multiple data sets robustly and simultaneously. We here present our holistic semi-empirical model decode (Discrete statistical sEmi-empiriCal mODEl) that converts via abundance matching dark matter merger trees into galaxy assembly histories, using different SMFs in input and predicting all other observables in output in a fully data-driven and self-consistent fashion with minimal assumptions. We find that: (1) weakly evolving or nearly constant SMFs below the knee ($M_\star \lesssim 10^{11} \, \mathrm{M}_\odot$) are the best suited to generate SFHs aligned with those inferred from MaNGA, SDSS, GAMA, and, more recently, JWST; (2) the evolution of satellites after infall only affects the satellite abundances and SFHs of massive central galaxies but not their merger histories; (3) the resulting SFR–$M_\star$ relation is lower in normalization by a factor of $\sim 2$ with respect to observations, with a flattening at high masses more pronounced in the presence of mergers; (4) the latest data on ICL can be reproduced if mass-loss from mergers is included in the models. Our findings are pivotal in acting as pathfinder to test the self-consistency of the high-quality data from, e.g. JWST and Euclid.
Past orbital evolution and its effects on the surface of (162173) Ryugu
Authors: Guimarães M C , Araujo R A N , Winter O C 
Published: June 2024

ABSTRACT
The Japanese probe Hayabusa 2 recently visited the NEA (162173) Ryugu. This mission provided valuable information about the asteroid, including in situ images and a surface sample brought back to the Earth. The data suggests that Ryugu has likely been affected by space weathering, but the underlying cause of the surface modification remains unclear. This paper aims to shed light on the problem by providing new information about the possible past orbital path of Ryugu. We used a procedure to estimate how Ryugu has dynamically evolved since it entered the NEAs’ region and whether this can explain the observed data. We have conducted numerical integrations of the N-body gravitational problem. The system comprises the Sun, the Solar system’s eight planets, and a group of 29 000 test particles initially placed in the main asteroidal belt (MAB) near the ν6 secular resonance. We then tracked the particles that left the MAB and eventually arrived close to Ryugu’s current orbit. Our analysis showed that out of 307 clones of Ryugu, only three came very close to the Sun at a distance of less than 0.1 au. Consequently, it is unlikely that Ryugu has undergone significant surface temperature variations. We also computed that ∼70 per cent of the clones have spent more than 5 Myr at an equivalent distance of 1 au from the Sun. This result suggests that Ryugu has been exposed to significant amounts of solar radiation over a long period, which may have resulted in space weathering effects on its surface.
Germline susceptibility from broad genomic profiling of pediatric brain cancers
Authors: Mardis Elaine R , Potter Samara L , Schieffer Kathleen M , Varga Elizabeth A , Mathew Mariam T , Costello Heather M , Wheeler Gregory , Kelly Benjamin J , Miller Katherine E , Garfinkle Elizabeth A R , Wilson Richard K , Cottrell Catherine E 
Published: June 2024

Abstract

Background
Identifying germline predisposition in CNS malignancies is of increasing clinical importance, as it contributes to diagnosis and prognosis, and determines aspects of treatment. The inclusion of germline testing has historically been limited due to challenges surrounding access to genetic counseling, complexity in acquiring a germline comparator specimen, concerns about the impact of findings, or cost considerations. These limitations were further defined by the breadth and scope of clinical testing to precisely identify complex variants as well as concerns regarding the clinical interpretation of variants including those of uncertain significance.

Methods
In the course of conducting an IRB-approved protocol that performed genomic, transcriptomic and methylation-based characterization of pediatric CNS malignancies, we cataloged germline predisposition to cancer based on paired exome capture sequencing, coupled with computational analyses to identify variants in known cancer predisposition genes and interpret them relative to established clinical guidelines.

Results
In certain cases, these findings refined diagnosis or prognosis or provided important information for treatment planning.

Conclusions
We outline our aggregate findings on cancer predisposition within this cohort which identified 16% of individuals (27 of 168) harboring a variant predicting cancer susceptibility and contextualize the impact of these results in terms of treatment-related aspects of precision oncology.
Spike N354 glycosylation augments SARS-CoV-2 fitness for human adaptation through structural plasticity
Authors: Liu Pan , Yue Can , Meng Bo , Xiao Tianhe , Yang Sijie , Liu Shuo , Jian Fanchong , Zhu Qianhui , Yu Yuanling , Ren Yanyan , Wang Peng , Li Yixin , Wang Jinyue , Mao Xin , Shao Fei , Wang Youchun , Gupta Ravindra Kumar , Cao Yunlong , Wang Xiangxi 
Published: June 2024

ABSTRACT
Selective pressures have given rise to a number of SARS-CoV-2 variants during the prolonged course of the COVID-19 pandemic. Recently evolved variants differ from ancestors in additional glycosylation within the spike protein receptor-binding domain (RBD). Details of how the acquisition of glycosylation impacts viral fitness and human adaptation are not clearly understood. Here, we dissected the role of N354-linked glycosylation, acquired by BA.2.86 sub-lineages, as a RBD conformational control element in attenuating viral infectivity. The reduced infectivity is recovered in the presence of heparin sulfate, which targets the ‘N354 pocket’ to ease restrictions of conformational transition resulting in a ‘RBD-up’ state, thereby conferring an adjustable infectivity. Furthermore, N354 glycosylation improved spike cleavage and cell–cell fusion, and in particular escaped one subset of ADCC antibodies. Together with reduced immunogenicity in hybrid immunity background, these indicate a single spike amino acid glycosylation event provides selective advantage in humans through multiple mechanisms.
Immobile polyanionic backbone enables a 900-μm-thick electrode for compact energy storage with unprecedented areal capacitance
Authors: Li Haoran , Wu Zhitan , Liu Xiaochen , Lu Haotian , Zhang Weichao , Li Fangbing , Yu Hongyuan , Yu Jinyang , Zhang Boya , Xiong Zhenxin , Tao Ying , Yang Quan-Hong 
Published: June 2024

ABSTRACT
Thickening of electrodes is crucial for maximizing the proportion of active components and thus improving the energy density of practical energy storage cells. Nevertheless, trade-offs between electrode thickness and electrochemical performance persist because of the considerably increased ion transport resistance of thick electrodes. Herein, we propose accelerating ion transport through thick and dense electrodes by establishing an immobile polyanionic backbone within the electrode pores; and as a proof of concept, gel polyacrylic electrolytes as such a backbone are in situ synthesized for supercapacitors. During charge and discharge, protons rapidly hop among RCOO− sites for oriented transport, fundamentally reducing the effects of electrode tortuosity and polarization resulting from concentration gradients. Consequently, nearly constant ion transport resistance per unit thickness is achieved, even in the case of a 900-μm-thick dense electrode, leading to unprecedented areal capacitances of 14.85 F cm−2 at 1 mA cm−2 and 4.26 F cm−2 at 100 mA cm−2. This study provides an efficient method for accelerating ion transport through thick and dense electrodes, indicating a significant solution for achieving high energy density in energy storage devices, including but not limited to supercapacitors.
Missed Opportunities: A Narrative Review on Why Nonoccupational Postexposure Prophylaxis for HIV Is Underutilized
Authors: Allan-Blitz Lao-Tzu , Mayer Kenneth H 
Published: June 2024

Abstract
Postexposure prophylaxis (PEP) is an important tool for preventing HIV infection but remains underutilized. In this narrative review, we aim to summarize the frequency of missed opportunities for prescribing PEP among studies from around the world, discuss the complexities of the challenges facing PEP provision, and describe possible solutions. We identified 20 studies published in the last 10 years among 43 832 individuals, of whom an estimated 41 477 were eligible for PEP. Of those eligible for PEP, PEP was prescribed among 27 705 (66.8%). There was a significant difference in PEP prescriptions in acute compared with non–acute care settings (63.5% vs 94.5%; P &lt; .001). Emergent themes contributing to PEP underutilization included lack of provider and patient awareness, reduced PEP acceptability, HIV stigma and homophobia, lack of access (either to care or to medication), and stigmatizing policies. Each of those issues should be the focus of future PEP implementation efforts.
In situ forest with lycopsid trees bearing lobed rhizomorphs from the Upper Devonian of Lincheng, China
Authors: Qin Min , Wang Deming , Liu Le , Liu Lu , Zhou Yi 
Published: June 2024

Abstract
The earliest forests in the Devonian were reported from only four localities worldwide. The tree lycopsids, sometimes as the primary elements of Devonian forests, had evolved several types of rooting systems. In recent years, we found and excavated a Late Devonian (Famennian, 374–359 Ma) lycopsid forest from Zhejiang Province, China. The fossil forest occurs at seven locations of Lincheng Town of Changxing County and mainly consists of in situ small tree lycopsid (Heliodendron longshanense gen. et sp. nov.) stems usually connected to lobed cormose rhizomorphs. The four short lobes of each rhizomorph often branch once and bear roots arranged radially. Allometry is observed between the trunk diameter of Heliodendron and the length of its rhizomorphic lobes, indicating that the trunk develops later than the rhizomorph in tree lycopsid plants. The Devonian witnessed the transformation from clastic nonlycopsid dominated forests to Carboniferous swampy forests dominated by giant lycopsid trees. These trees form a multigenerational community, as shown by the in situ preserved stems at various levels within the same area due to frequent sedimentation events.
The role of retinal irradiance estimates in melanopsin-driven retinal responsivity: a reanalysis of the post-illumination pupil response in seasonal affective disorder
Authors: Klevens Alison M , Taylor Maddison L , Wescott Delainey L , Gamlin Paul D , Franzen Peter L , Hasler Brant P , Siegle Greg , Roecklein Kathryn A 
Published: June 2024

Abstract
To isolate melanopsin contributions to retinal sensitivity measured by the post-illumination pupil response (PIPR), controlling for individual differences in non-melanopsin contributions including retinal irradiance is required. When methodologies to negate such differences present barriers, statistical controls have included age, baseline diameter, iris pigmentation, and circadian time of testing. Alternatively, the pupil light reflex (PLR) and calculations estimating retinal irradiance both reflect retinal irradiance, while the PLR also reflects downstream pathways. We reanalyzed data from an observational, correlational study comparing the PIPR across seasons in seasonal affective disorder (SAD) and controls. The PIPR was measured in 47 adults in Pittsburgh, Pennsylvania (25 SAD) over 50 seconds after 1 second of red and blue stimuli of 15.3 log photons/cm2/s. The PLR was within 1 second while PIPR was averaged over 10–40 seconds post-stimulus. Two raters ranked iris pigmentation using a published scale. We evaluated model fit using Akaike’s Information Criterion (AIC) across different covariate sets. The best-fitting models included either estimated retinal irradiance or PLR, and circadian time of testing. The PLR is collected contemporaneously in PIPR studies and is an individually specific measure of nonspecific effects, while being minimally burdensome. This work extends the prior publication by introducing theoretically grounded covariates that improved analytic model fits based on AIC specific to the present methods and sample. Such quantitative methods could be helpful in studies which must balance participant and researcher burden against tighter methodological controls of individual differences in retinal irradiance.
An engineering biology approach to automated workflow and biodesign
Authors: Casas Alexis , Bultelle Matthieu , Kitney Richard 
Published: June 2024

Abstract
The paper addresses the application of engineering biology strategies and techniques to the automation of laboratory workflow—primarily in the context of biofoundries and biodesign applications based on the Design, Build, Test and Learn paradigm. The trend toward greater automation comes with its own set of challenges. On the one hand, automation is associated with higher throughput and higher replicability. On the other hand, the implementation of an automated workflow requires an instruction set that is far more extensive than that required for a manual workflow. Automated tasks must also be conducted in the order specified in the workflow, with the right logic, utilizing suitable biofoundry resources, and at scale—while simultaneously collecting measurements and associated data. The paper describes an approach to an automated workflow that is being trialed at the London Biofoundry at SynbiCITE. The solution represents workflows with directed graphs, uses orchestrators for their execution, and relies on existing standards. The approach is highly flexible and applies to not only workflow automation in single locations but also distributed workflows (e.g. for biomanufacturing). The final section presents an overview of the implementation—using the simple example of an assay based on a dilution, measurement, and data analysis workflow.
A meta-regression analysis to evaluate the effects of narasin on grow-finish pig performance
Authors: Becker Larissa L , Gebhardt Jordan T , Tokach Mike D , Arentson Roger A , Shields Michael , Woodworth Jason C , Goodband Robert D , DeRouchey Joel M , Seltzer Jenna A , Puls Christopher L 
Published: June 2024

Abstract
Ionophores are feed additives that decrease gram-positive microbial populations by disrupting the ion transfer across cell membranes resulting in improved growth performance. Narasin (Skycis; Elanco Animal Health, Greenfield, IN) is an FDA-approved ionophore utilized for increased rate of weight gain and improved feed efficiency in growing-finishing pigs. A meta-regression analysis was conducted to evaluate the effects of added narasin in growing-finishing pig diets to predict its influence on average daily gain (ADG), feed efficiency (G:F), and carcass yield. A database was developed containing 21 technical reports, abstracts, and refereed papers from 2012 to 2021 representing 35 observations for growth performance data in studies ranging from 35 to 116 d in length (overall data). In addition, within these 35 observations, individual period data were evaluated (143 observations) using weekly, bi-weekly, or monthly performance intervals (period data). Regression model equations were developed, and predictor variables were assessed with a stepwise manual forward selection procedure. The ADG model using the overall data included ADG, ADFI, and G:F of the control group, added narasin dose, and narasin feeding duration categorized as longer or shorter than 65 d. Predictor variables included in the G:F model using overall data were ADG, ADFI, and G:F of the control group and added narasin dose. For carcass yield, the final model included ADFI and G:F of the control group, added narasin dose, and narasin feeding duration of longer than 65 d. In the period model for ADG, the predictors included ADG, ADFI, and G:F of the control group, added narasin dose, and average BW of the control group categorized into greater than or less than 105 kg. For period data for G:F, the model selected ADG, ADFI, and G:F of the control group and added narasin dose. Based on the results, the overall response to added narasin for ADG and G:F was quadratic and tended to decrease as ADG and G:F increased. A similar quadratic response was observed for the individual period data. In summary, using median values from the database for predictor variables, this meta-analysis demonstrated narasin would be expected to improve ADG between 1.06% and 1.65%, G:F between 0.71% and 1.71%, and carcass yield by 0.31% when fed continuously for longer than 65 d.