bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Integrated Management System for Composed Applications Deployed by Different Deployment Automation Technologies
Authors: Harzenetter Lukas , Breitenbücher Uwe , Binz Tobias , Leymann Frank 
Published: April 2023

AbstractAutomation is the key to enable an efficient, fast, and reliable deployment of applications. Therefore, several deployment automation technologies emerged in recent years whereby each technology has its specific field of application: While some are bound to cloud providers and offer provider-specific functionalities, others enable multi-cloud deployments but mostly do not support provider-specific features. As a consequence, often companies have to use multiple deployment technologies in combination to deploy large applications. However, the management capabilities of most deployment technologies are limited or even non-existent. This issue becomes even more severe if different parts of a single application are deployed by different technologies. To tackle this issue, we present an approach that enables generating automatically executable management workflows for applications that consist of multiple components deployed by different deployment technologies. Our approach builds on top of instance models that are automatically generated based on information retrieved from the different deployment technologies involved. Based on the derived instance model, we generate workflows that manipulate the running application. We prove the technical feasibility by an open-source prototype and discuss a detailed case study.
Therapeutic potential of autophagy in immunity and inflammation: current and future perspectives
Authors: Zuo Hui , Chen Cheng , Sa Yalian 
Published: April 2023

AbstractAutophagy is recognized as a lysosomal degradation pathway important for cellular and organismal homeostasis. Accumulating evidence has demonstrated that autophagy is a paradoxical mechanism that regulates homeostasis and prevents stress under physiological and pathological conditions. Nevertheless, how autophagy is implicated in immune responses remains unclear. It is well established that autophagy bridges innate and adaptive immunity, while autophagic dysfunction is closely related to infection, inflammation, neurodegeneration, and tumorigenesis. Therefore, autophagy has attracted great attention from fundamental and translational fields due to its crucial role in inflammation and immunity. Inflammation is involved in the development and progression of various human diseases, and as a result, autophagy might be a potential target to prevent and treat inflammatory diseases. Nevertheless, insufficient autophagy might cause cell death, perpetrate inflammation, and trigger hereditary unsteadiness. Hence, targeting autophagy is a promising disease prevention and treatment strategy. To accomplish this safely, we should thoroughly understand the basic aspects of how autophagy works. Herein, we systematically summarized the correlation between autophagy and inflammation and its implication for human diseases.
A comprehensive review of graphene-based aerogels for biomedical applications. The impact of synthesis parameters onto material microstructure and porosity
Authors: Trembecka-Wójciga Klaudia , Sobczak Jerzy J. , Sobczak Natalia 
Published: April 2023

Abstract
Graphene-based aerogels (GA) have a high potential in the biomedical engineering field due to high mechanical strength, biocompatibility, high porosity, and adsorption capacity. Thanks to this, they can be used as scaffolds in bone tissue engineering, wound healing, drug delivery and nerve tissue engineering. In this review, a current state of knowledge of graphene (Gn) and graphene oxide (GO) aerogels and their composites used in biomedical application is described in detail. A special focus is paid first on the methods of obtaining highly porous materials by visualizing the precursors and describing main methods of Gn and GO aerogel synthesis. The impact of synthesis parameters onto aerogel microstructure and porosity is discussed according to current knowledge. Subsequent sections deal with aerogels intended to address specific therapeutic demands. Here we discuss the recent methods used to improve Gn and GO aerogels biocompatibility. We explore the various types of GA reported to date and how their architecture impacts their ultimate ability to mimic natural tissue environment. On this basis, we summarized the research status of graphene-based aerogels and put forward the challenges and outlook of graphene-based aerogels dedicated to biomedical usage especially by formation of joints with biocompatible metals.
Factors Influencing Monkeypox Vaccination: A Cue to Policy Implementation
Authors: Rajkhowa Priyobrat , Dsouza Viola Savy , Kharel Rashmi , Cauvery K. , Mallya B. Rashmi , Raksha D. S. , Mrinalini V. , Sharma Preejana , Pattanshetty Sanjay , Narayanan Prakash , Lahariya Chandrakant , Brand Helmut 
Published: April 2023

Abstract
Background
Following the mpox 2022 outbreak, several high-income countries have developed plans with inclusion criteria for vaccination against the mpox disease. This study was carried out to map the factors influencing mpox vaccination uptake to help address the challenges and increase vaccination confidence.

Methods
This was a study based on Tweet analysis. The VADER, Text Blob, and Flair analyzers were adopted for sentiment analysis. The “Levesque conceptual framework for healthcare access” was adopted to evaluate the factors impacting access and the decision to get mpox vaccination. Consolidated Criteria for Reporting Qualitative Research (COREQ) criteria were adopted.

Findings
A total of 149,133 tweets were extracted between 01/05/2022 and 23/09/2022. Around 1% of the random tweets were used for qualitative analysis. Of the 149,113, tweets were classified as positive, negative and neutral, respectively, by (a) VADER: (55,040) 37.05%, (44,395) 29.89%, and (49,106) 33.06%, (b) TextBlob: (70,900) 47.73%, (22,729) 15.30%, and (54,921) 36.97%, and (c) Flair: (31,389) 21.13%, (117,152) 78.87%, and 0.00%. Sentiment trajectories revealed that communication, stigmatization, accessibility to and availability of vaccines, and concerns about vaccine safety as factors influencing decision-making in the content and flow of tweets.

Interpretation
Twitter is a key surveillance tool for understanding factors influencing decisions and access to mpox vaccination. To address vaccine mistrust and disinformation, a social media-based risk communication plan must be devised. Adopting measures to remove logistical vaccination hurdles is needed. Obtaining fact-based information from credible sources is key to improving public confidence.
Illnesses and Injuries at a Remote American Residential Summer Camp Over 3 Seasons
Authors: Schlaudecker Jeffrey , Milligan Kevin J. , Glankler Erin , Pagan Angel , Weller Andrew M. , Cohn William 
Published: April 2023

Introduction Residential and wilderness excursion summer camps are safe, but outdoor activities can lead to injuries. The frequency of various illnesses and injuries at summer camps has been incompletely described. The treatments provided and the need for escalation to higher levels of care are variable. Methods A retrospective cohort analysis was conducted for all visits to a camp infirmary over 3 seasons at a residential summer camp in Minnesota. Seventeen descriptive categories of chief complaints and 13 categories of treatment disposition were created for all 695 eligible infirmary visits. The frequency and illness type for which escalation to a higher level of care beyond the camp infirmary was needed were reviewed. Results Four hundred one campers sought medical care 695 times over 3 seasons. The most common chief complaints were related to skin (35%), musculoskeletal injury (17%), and upper-respiratory symptoms (15%). The most common treatment and dispositions were over-the-counter medications (43%) and simple bandage or dressing (19%). Escalation of care to a clinic or emergency room was uncommon, with 35 (5%) infirmary visits requiring escalation. Musculoskeletal injuries were the most common reason for escalations of care. While overall less common than musculoskeletal injury, dental injury almost always resulted in escalation of care. Conclusions An analysis of 3 y of visits to a summer camp infirmary was used by camp medical staff to update protocols and obtain new supplies for diagnosis and treatments. A more complete understanding of the prevalence of injuries and illnesses has the potential to allow better preparation for camp medical staff.
Frictional Properties and Rheological Structure at the Ecuadorian Subduction Zone Revealed by the Postseismic Deformation Due To the 2016 Mw 7.8 Pedernales (Ecuador) Earthquake
Authors: Tian Zhen , Freymueller Jeffrey T. , Yang Zhiqiang , Li Zhenhong , Sun Heping 
Published: April 2023

AbstractPostseismic deformation following subduction earthquakes includes the combined effects of afterslip surrounding the coseismic rupture areas and viscoelastic relaxation in the asthenosphere and provides unique and valuable information for understanding the rheological structure. Because the two postseismic mechanisms are usually spatiotemporally intertwined, we developed an integrated model combining their contributions, based on 5 years of observations following the 2016 Pedernales (Ecuador) earthquake. The results show that the early, near‐field postseismic deformation is dominated by afterslip, both updip and downdip of the coseismic rupture, and requires heterogeneous interface frictional properties. Viscoelastic relaxation contributes more to far‐field displacements at later time periods. The best‐fit integrated model favors a 45‐km thick lithosphere overlying a Burgers body viscoelastic asthenosphere with a Maxwell viscosity of 3 × 1019 Pa s (0.9–5 × 1019 Pa s at 95% confidence), assuming the Kelvin viscosity equal to 10% of that value. In addition to the postseismic afterslip, the coastal displacement of sites north and south of the rupture clearly require extra slip in the plate motion direction due to slow slip events that may be triggered by the coseismic stress changes (CSC) but are not purely driven by the CSC. Spatially variable afterslip following the Pedernales event, combined with the SSEs during the interseismic period, demonstrate that spatial frictional variability persists throughout the whole earthquake cycle. The interaction of adjacent fault patches with heterogeneous properties may contribute to the clustered large earthquakes in this area.
Extent of the Impact of Arctic Atmospheric Uncertainty on Extended‐Range Forecasting of Cold Events in East Asia
Authors: Han Zhe , Dai Guokun , Mu Mu , Li Chunxiang , Li Shuanglin , Ma Xueying , Zhu Mengbin 
Published: April 2023

AbstractThe extended‐range predictability of three simulated extreme cold events in East Asia in the Community Atmosphere Model (version 4) control experiment, whose atmospheric circulation backgrounds are similar to two recent observational cases, is investigated. The results show that they have a predictability of four pentads. Then, we evaluate the extent of the forecast uncertainty in the 4th pentad caused by the initial atmospheric uncertainties in the Arctic, which are large due to sparse instrumental observations. The initial uncertainty leading to the largest forecast uncertainty is obtained by the conditional nonlinear optimal perturbation method, and referred to as the CNOP‐type initial uncertainty. The forecast of the cold surge in the 4th pentad fails after adding the CNOP‐type initial uncertainty at day 0. In comparison, the forecast uncertainties are much weaker when the initial conditions are perturbed by noises, and the weaker influence may be due to the noises' lack of spatial structure. In terms of how the CNOP‐type initial uncertainty develops, a baroclinic structure is seen in the uncertainties on the first 2 days, followed by a propagating Rossby wave feature from the 2nd pentad to the 4th pentad. Meanwhile, synoptic transient eddy feedback also plays an essential role. The results suggest that the CNOP‐type initial uncertainty has potential to identify sensitive areas for targeted observations; plus, it could serve as a member of ensemble initial perturbations, since it indicates the largest uncertainty growth.
Large Uncertainties in Precipitation Exert Considerable Impact on Land Surface Temperature Modeling Over the Tibetan Plateau
Authors: Ma Xiaogang , Tian Lei , Jiang Yaozhi , Liang Jiguang , Tian Jiaxin , Zhou Jianhong , Shao Changkun , Yang Kun 
Published: April 2023

AbstractThe performance of land surface temperature (LST) simulations in land surface models is subject to uncertainties in atmospheric forcing datasets. However, the contributions of forcing variables in different datasets to the simulated LST over the Tibetan Plateau (TP) remain unclear. To investigate the sensitivity of LST simulation to atmospheric forcing, we conducted a series of experiments using the Community Land Model (CLM5.0) with different forcing datasets. Results showed that the simulated LST displayed large spatiotemporal variations, and the simulation driven by the China Meteorological Forcing Data set produced more reasonable estimates than the other simulations. Sensitivity analysis suggests that the 1% increase in air temperature causes the largest variation in LST (0.54%), while the same percentage change in precipitation leads to the smallest (only 0.002%) LST variation. However, the actual uncertainty in precipitation is much larger than that in air temperature, and thus uncertainty in precipitation contributes 24% of the LST variability in the cold season, compared to 18% for air temperature. Large precipitation uncertainty leads to strong uncertainties in snow processes (snowfall and snow cover fraction), and hence strong uncertainties in surface albedo and ground absorbed shortwave radiation, further exerting the absolute impact on LST in cold season. Moreover, the snowfall is also influenced by different schemes of snowfall/rainfall partitioning. This may result in uncertainties in snowfall and consequently LST for the southeastern TP. Our study highlights the importance of high‐quality precipitation data, a forcing variable usually ignored in previous studies of LST simulation on the TP.
The Influences of the Multi‐Scale Sea Surface Temperature Anomalies in the North Pacific on the Jet Stream in Winter
Authors: Hu Haibo , Zhao Yihang , Yang Xiu‐Qun , Jiang Shunyu , Mao Kefeng , Bai Haokun 
Published: April 2023

AbstractUsing Climate Forecast System Reanalysis (CFSR) data and numerical simulations, the impacts of the multi‐scale sea surface temperature (SST) anomalies in the North Pacific on the boreal winter atmospheric circulations are investigated. The basin‐scale SST anomaly as the Pacific Decadal Oscillation (PDO) pattern, a narrow meridional band of frontal‐scale smoothed SST anomaly in the subtropical front zone (STFZ) and the spatial dispersed eddy‐scale SST anomalies within the STFZ are the three types of forcings. The results of statistical methods find that all three oceanic forcings may correspond to the winter North Pacific jet changing with the similar pattern. Furthermore, several atmospheric general circulation model simulations are used to reveal the differences and detail processes of the three forcings. The basin‐scale cold PDO‐pattern SST anomaly first causes negative turbulent heat flux anomalies, atmospheric cooling, and wind deceleration in the lower atmosphere. Subsequently, the cooling temperature with an amplified southern lower temperature gradient and baroclinity brings a lagging middle warming because of the enhanced atmospheric eddy heat transport. The poleward and upward development of baroclinic fluctuations eventually causes the acceleration of the upper jet. The smoothed frontal‐ and eddy‐scales SST anomalies in the STFZ cause comparable anomalous jet as the basin‐scale by changing the upward baroclinic energy and Eliassen‐Palm fluxes. The forcing effects of multi‐scales SST anomalies coexist simultaneously in the mid‐latitude North Pacific, which can cause similar anomalous upper atmospheric circulations. This is probably why it is tricky to define the certain oceanic forcing to the specific observed atmospheric circulation variation.
Toward Emulating an Explicit Organic Chemistry Mechanism With Random Forest Models
Authors: Mouchel‐Vallon Camille , Hodzic Alma 
Published: April 2023

AbstractPredicting secondary organic aerosol (SOA) formation relies either on extremely detailed, numerically expensive models accounting for the condensation of individual species or on extremely simplified, numerically affordable models parameterizing SOA formation for large‐scale simulations. In this work, we explore the possibility of creating a random forest to reproduce the behavior of a detailed atmospheric organic chemistry model at a fraction of the numerical cost. A comprehensive data set was created based on thousands of individual detailed simulations, randomly initialized to account for the variety of atmospheric chemical environments. Recurrent random forests were trained to predict organic matter formation from dodecane and toluene precursors, and the partitioning between gas and particle phases. Validation tests show that the random forests perform well without any divergence over 10 days of simulations. The distribution of errors shows that the sampling of initial conditions for the training simulations needs to focus on chemical regimes where SOA production is the most sensitive. Sensitivity tests show that specializing multiple random forests for a specific chemical regime is not more efficient than training a single general random forest for the entire data set. The most important predictors are those providing information about the chemical regime, oxidants levels, and existing organic mass. The choice of predictors is crucial as using too many unimportant predictors reduces the performances of the random forests.
Orbital Characterization of the Composition and Distribution of Spinels Across the Crisium Region: Insight From Luna 20 Samples
Authors: Moriarty D. P. , Simon S. B. , Shearer C. K. , Haggerty S. E. , Petro N. , Li Shuai 
Published: April 2023

AbstractSpinels represent a small fraction of lunar surface materials but provide important insights into the petrological evolution of the lunar crust and mantle. Previous remote sensing analyses of highlands spinel‐bearing lithologies have focused on pure Mg‐Al spinels, which are rare in the lunar sample collection. Using Moon Mineralogy Mapper data, we develop and test an approach for detecting spectral signatures of spinel across a wider range of Mg, Al, Fe, Cr, Ti‐bearing compositions than have been addressed in previous studies, including within mafic‐bearing assemblages. This approach is validated through integration with laboratory‐measured spinel spectra and petrographic observations of samples returned by the Luna 20 mission from the Hilly and Furrowed Terrain surrounding the Crisium Basin. Applying this approach to data from the Crisium region, small abundances of spinel (<∼5 vol%) with a range of Mg, Al, Fe, Cr, and Ti content and petrologic origin (inferred from Luna 20 samples) were found to be widespread within highlands soils across the Crisium region. This result diverges from previous remote sensing analyses, which only reported small, isolated exposures of pure Mg‐Al spinel (as well as a possible detection of Fe, Cr‐bearing spinels localized within pyroclastic materials at Sinus Aestuum). Geologic associations of candidate spinel detections across this region are consistent with a shallow crustal origin rather than excavation from depth during the Crisium‐forming impact. These spinels are detectible in near‐infrared spectroscopic data, particularly in areas of low optical maturity and may influence the spectral continuum of highlands soils.
An Intercomparison of Large‐Eddy Simulations of a Convection Cloud Chamber Using Haze‐Capable Bin and Lagrangian Cloud Microphysics Schemes
Authors: Yang Fan , Hoffmann Fabian , Shaw Raymond A. , Ovchinnikov Mikhail , Vogelmann Andrew M. 
Published: April 2023

AbstractRecent in situ observations show that haze particles exist in a convection cloud chamber. The microphysics schemes previously used for large‐eddy simulations of the cloud chamber could not fully resolve haze particles and the associated processes, including their activation and deactivation. Specifically, cloud droplet activation was modeled based on Twomey‐type parameterizations, wherein cloud droplets were formed when a critical supersaturation for the available cloud condensation nuclei (CCN) was exceeded and haze particles were not explicitly resolved. Here, we develop and adapt haze‐capable bin and Lagrangian microphysics schemes to properly resolve the activation and deactivation processes. Results are compared with the Twomey‐type CCN‐based bin microphysics scheme in which haze particles are not fully resolved. We find that results from the haze‐capable bin microphysics scheme agree well with those from the Lagrangian microphysics scheme. However, both schemes significantly differ from those from a CCN‐based bin microphysics scheme unless CCN recycling is considered. Haze particles from the recycling of deactivated cloud droplets can strongly enhance cloud droplet number concentration due to a positive feedback in haze‐cloud interactions in the cloud chamber. Haze particle size distributions are more realistic when considering solute and curvature effects that enable representing the complete physics of the activation process. Our study suggests that haze particles and their interactions with cloud droplets may have a strong impact on cloud properties when supersaturation fluctuations are comparable to mean supersaturation, as is the case in the cloud chamber and likely is the case in the atmosphere, especially in polluted conditions.
Interplanetary Magnetic Field By Controls the Magnetopause Location
Authors: Aghabozorgi Nafchi M. , Němec F. , Pi G. , Němeček Z. , Šafránková J. , Grygorov K. , Šimůnek J. 
Published: April 2023

AbstractWe present a statistical study of interplanetary magnetic field (IMF) effects on the magnetopause location based on nearly 15,000 magnetopause crossings identified in the THEMIS A‐E, Magion 4, Geotail, and Interball‐1 satellite data. In order to exclude the dominant controlling role of the solar wind dynamic pressure, differences between observed and empirical model magnetopause distances are analyzed. We find that the magnetopause distance is significantly controlled by the IMF clock angle, not considered in the used empirical models. Furthermore, during very low Alfvén Mach numbers (MA < 4), IMF By component can induce a considerable dawn‐dusk asymmetry of the magnetopause shape. The magnetopause distance is found to be larger in the direction of the IMF vector, that is, not only the magnitude but also the orientation of the IMF By component is eventually important. The obtained results are qualitatively consistent with a magnetohydrodynamic model run at the Community Coordinated Modeling Center.