bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features
Authors: Rostamzadeh Sajjad , Abouhossein Alireza , Saremi Mahnaz , Taheri Fereshteh , Ebrahimian Mobin , Vosoughi Shahram 
Published: July 2023

AbstractThis study examines whether the socio-demographic factors and cognitive sign features can be used for envisaging safety signs comprehensibility using predictive machine learning (ML) techniques. This study will determine the role of different machine learning components such as feature selection and classification to determine suitable factors for safety construction signs comprehensibility. A total of 2310 participants were requested to guess the meaning of 20 construction safety signs (four items for each of the mandatory, prohibition, emergency, warning, and firefighting signs) using the open-ended method. Moreover, the participants were asked to rate the cognitive design features of each sign in terms of familiarity, concreteness, simplicity, meaningfulness, and semantic closeness on a 0–100 rating scale. Subsequently, all eight features (age, experience, education level, familiarity, concreteness, meaningfulness, semantic closeness, and simplicity) were used for classification. Furthermore, the 14 most popular supervised classifiers were implemented and evaluated for safety sign comprehensibility prediction using these eight features. Also, filter and wrapper methods were used as feature selection techniques. Results of feature selection techniques indicate that among the eight features considered in this study, familiarity, simplicity, and meaningfulness are found to be the most relevant and effective components in predicting the comprehensibility of selected safety signs. Further, when these three features are used for classification, the K-NN classifier achieves the highest classification accuracy of 94.369% followed by medium Gaussian SVM which achieves a classification accuracy of 76.075% under hold-out data division protocol. The machine learning (ML) technique was adopted as a promising approach to addressing the issue of comprehensibility, especially in terms of determining factors affecting the safety signs' comprehension. The cognitive sign features of familiarity, simplicity, and meaningfulness can provide useful information in terms of designing user-friendly safety signs.
In vitro and in silico studies of the antiviral activity of polyhydrated fullerenes against influenza A (H1N1) virus
Authors: Zaremba Polina , Zaremba Andrii , Naumenko Krystyna , Yelipashev Mykhailo , Zahorodnia Svitlana 
Published: July 2023

AbstractAs of today, influenza viruses remain a relevant target for the development of antiviral compounds due to their rapid evolution and acquisition of the resistance to existing drugs. Fullerene derivatives have already shown the ability to successfully interact with viruses, and polyhydrated fullerenes (or fullerenols) are particularly attractive due to their compatibility with biological fluids and low toxicity. Therefore, the goal of this work was to study the effect of two batches of a mixture of polyhydrated fullerenes with a mass ratio of 78.1% C60/C70 and 21.9% C76/C78/C84 on the influenza A (H1N1) virus. It was determined that the mixture of fullerenols, along with the low toxicity, showed high antiviral activity with a decrease in the viral infectious titer up to 4 orders of magnitude. In addition, studied fullerenols did not affect the hemagglutination process and did not show any significant prophylactic activity. With the help of molecular docking and molecular dynamics simulation, the likely target of fullerenols' action was determined—the binding site of the RNA primer of the viral RNA-dependent RNA polymerase. Therefore, we assume that the high antiviral effect of polyhydrated fullerenes on influenza A virus is related to their interaction with the viral RNA polymerase.
Neon encapsulation by a hydroquinone organic crystalline clathrate under ambient conditions
Authors: Lim Sol Geo , Lee Jong-Won , Fujihisa Hiroshi , Oh Chang Yeop , Jang Jiyeong , Moon Dohyun , Takeya Satoshi , Muraoka Michihiro , Yamamoto Yoshitaka , Yoon Ji-Ho 
Published: July 2023

AbstractThe recent use of noble gases in laser devices and semiconductor lithography has greatly increased. However, there is no commercial technology for the storage of noble gases in solid materials owing to their chemical inertness and relative lightness. Here we report the simple synthesis and characteristics of a hydroquinone clathrate that stably captures neon at atmospheric pressure and room temperature. The highly flexible structure enables neon encapsulation in the one-dimensional channels of the clathrate framework despite their inter-cage migration through the hexagonal entrance of the cages. The neon uptake of as-synthesized hydroquinone clathrates is 37.3 g L−1 at 1 bar and 298 K. Increasing the temperature accelerates the release of neon from the flexible hydroquinone clathrate hydrogen-bonded organic framework, leading to guest-free clathrate formation at 1 bar and 400 K. This method represents a technological development for better storage and the controlled release of noble gases in solid structured materials.
CODEX: Role of velocity substructure in the scaling relations of galaxy clusters
Authors: Damsted S. , Finoguenov A. , Clerc N. , Davalgaitė I. , Kirkpatrick C. C. , Mamon G. A. , Ider Chitham J. , Kiiveri K. , Comparat J. , Collins C. 
Published: July 2023

Context. The use of galaxy clusters as cosmological probes relies on a detailed understanding of their properties. They define cluster selection and ranking linked to a cosmologically significant cluster mass function. Previous studies have employed small samples of clusters, concentrating on achieving the first calibrations of cluster properties with mass, while the diversity of cluster properties has been revealed via detailed studies.
Aims. The large spectroscopic follow-up on the CODEX cluster sample with SDSS and NOT enables a detailed study of hundreds of clusters, lifting the limitations of previous samples. We aim to update the spectroscopic cluster identification of CODEX by running the spectroscopic group finder on the follow-up spectroscopy results and connecting the dynamical state of clusters to their scaling relations.
Methods. We implemented a reproducible spectroscopic membership determination and cleaning procedures, based on the redMaPPer membership, running the spectroscopic group finder on the follow-up spectroscopy results and cleaning the membership for spectroscopic outliers. We applied the Anderson-Darling test for velocity substructure and analysed its influence on the scaling relations. We also tested the effect of the X-ray-to-optical centre offset on the scaling relations.
Results. We report on the scaling relations between richness, X-ray luminosity, and velocity dispersion for a complete sample of clusters with at least 15 members. Clusters with velocity substructure exhibit enhanced velocity dispersion for a given richness and are characterized by 2.5 times larger scatter. Clusters that have a strong offset in X-ray-to-optical centres have comparable scaling relations as clusters with substructure. We demonstrate that there is a consistency in the parameters of the scaling relations for the low- and high-richness galaxy clusters. Splitting the clusters by redshift, we note a decrease in scatter with redshift in all scaling relations. We localize the redshift range where a high scatter is observed to z < 0.15, which is in agreement with the literature results on the scatter. We note that the increase in scatter for both high- and low-luminosity clusters is z < 0.15, suggesting that both cooling and the resulting active galactic nucleus feedback are at the root of this scatter.
An imaged 15 MJup companion within a hierarchical quadruple system
Authors: Chomez A. , Squicciarini V. , Lagrange A.-M. , Delorme P. , Viswanath G. , Janson M. , Flasseur O. , Chauvin G. , Langlois M. , Rubini P. , Bergeon S. , Albert D. , Bonnefoy M. , Desidera S. , Engler N. , Gratton R. , Henning T. , Mamajek E. E. , Marleau G.-D. , Meyer M. R. , Reffert S. , Ringqvist S. C. , Samland M. 
Published: July 2023

Context. Since 2019, the direct imaging B-star Exoplanet Abundance STudy (BEAST) at SPHERE@VLT has been scanning the surroundings of young B-type stars in order to ascertain the ultimate frontiers of giant planet formation. Recently, the 17−4+3 Myr HIP 81208 was found to host a close-in (∼50 au) brown dwarf and a wider (∼230 au) late M star around the central 2.6 M⊙ primary.
Aims. Alongside the continuation of the survey, we are undertaking a complete reanalysis of archival data aimed at improving detection performances so as to uncover additional low-mass companions.
Methods. We present here a new reduction of the observations of HIP 81208 using the patch covariance algorithm (PACO), a recent and powerful algorithm dedicated to processing high-contrast imaging datasets, as well as more classical algorithms and a dedicated point spread function subtraction approach. The combination of different techniques allowed for a reliable extraction of astrometric and photometric parameters.
Results. A previously undetected source was recovered at a short separation from the C component of the system. Proper motion analysis provided robust evidence for the gravitational bond of the object to HIP 81208 C. Orbiting C at a distance of ∼20 au, this 15 MJup brown dwarf becomes the fourth object of the hierarchical HIP 81208 system.
Conclusions. Among the several BEAST stars which are being found to host substellar companions, HIP 81208 stands out as a particularly striking system. As the first stellar binary system with substellar companions around each component ever found by direct imaging, it yields exquisite opportunities for thorough formation and dynamical follow-up studies.
S2k-Leitlinie zur fachärztlichen Diagnostik und Therapie von Asthma 2023
Authors: Lommatzsch Marek , Criée Carl-Peter , de Jong Carmen C. M. , Gappa Monika , Geßner Christian , Gerstlauer Michael , Hämäläinen Nina , Haidl Peter , Hamelmann Eckard , Horak Fritz , Idzko Marco , Ignatov Atanas , Koczulla Andreas Rembert , Korn Stephanie , Köhler Michael , Lex Christiane , Meister Jochen , Milger-Kneidinger Katrin , Nowak Dennis , Nothacker Monika , Pfaar Oliver , Pohl Wolfgang , Preisser Alexandra M. , Rabe Klaus F. , Riedler Josef , Schmidt Olaf , Schreiber Jens , Schuster Antje , Schuhmann Maren , Spindler Thomas , Taube Christian , Christian Virchow Johann , Vogelberg Christian , Vogelmeier Claus Franz , Wantke Felix , Windisch Wolfram , Worth Heinrich , Zacharasiewicz Angela , Buhl Roland ,   Weitere beteiligte Wissenschaftliche Fachgesellschaften und Organisationen: Deutsche Atemwegsliga e. V.,   Deutsche Gesellschaft für Arbeitsmedizin und Umweltmedizin e. V.,   Deutsche Gesellschaft für Allergologie und klinische Immunologie e. V.,   Deutsche Gesellschaft für Gynäkologie und Geburtshilfe e. V.,   Deutsche Gesellschaft für Rehabilitationswissenschaften e. V.,   Gesellschaft für Pädiatrische Allergologie und Umweltmedizin e. V.,   Gesellschaft für Pädiatrische Pneumologie e. V.,   Bundesverband der Pneumologen, Schlaf- und Beatmungsmediziner,   Österreichische Gesellschaft für Kinder- und Jugendheilkunde,   Österreichische Gesellschaft für Pneumologie,   Deutsche Patientenliga Atemwegserkrankungen e. V.
Published: July 2023

ZusammenfassungDas Management von Asthma hat sich in den letzten Jahrzehnten fundamental gewandelt. Die vorliegende Leitlinie zur Diagnostik und Therapie von Asthma wurde für pneumologisch tätige Fachärztinnen und Fachärzte entwickelt, welche detaillierte und evidenzbasierte Informationen zu den neuen diagnostischen und therapeutischen Optionen von Asthma benötigen. Die Leitlinie zeigt die neue Bedeutung der Biomarker, insbesondere der Bluteosinophilen und des exhalierten NO (FeNO), in den diagnostischen Algorithmen von Asthma. Als erste Asthma-Leitlinie weltweit benennt die vorliegende Leitlinie die nachhaltige Symptomprävention und die Asthma-Remission als Asthma-Therapieziele, welche durch den Einsatz individuell angepasster, krankheitsmodifizierender Medikamente (wie inhalative Steroide, Allergenimmuntherapie oder Biologika) erreicht werden können. Die zentrale Bedeutung der Behandlung von typischen Asthma-Komorbiditäten wird zudem betont. Schließlich wird auch auf besondere Herausforderungen im Asthma-Management eingegangen, wie bspw. die Therapie von Asthma in der Schwangerschaft, die Behandlung von schwerem Asthma oder die Diagnostik und Therapie von arbeitsbedingten Asthma-Formen.
Welches Behandlungssetting ist für stationäre
forensische Patienten im Alter ≥ 60 Jahre geeignet?Eine
systematische Analyse der Literatur
Authors: Bausch-Becker Nikolaus , Brackmann Nathalie , Sternemann Ulf , Habermeyer Elmar 
Published: July 2023

ZusammenfassungVor dem Hintergrund des demographischen Wandels stellt sich für
ältere forensische Patienten (d. h. ≥60 Jahre) in
stationärer Behandlung zunehmend die Frage nach einem geeigneten
Therapiesetting. Diesbezüglich wurde die Forschungsliteratur anhand von
vier medizinischen Datenbanken (PsycInfo, Medline, Embase, Web of Science) nach
relevanten Stichwörtern (elderly offender/perpetrator, aged,
mental disorder, forensic treatment, forensic psychiatry) durchsucht. Von 744
vorselektierten Artikeln gelangten lediglich 5 Studien in die Endauswahl. Die
Stichprobe setzt sich mehrheitlich aus Männern mit strafrechtlicher
Vorerfahrung zusammen, die sowohl psychisch als auch körperlich erkrankt
sein können. Es werden Platzierungs- und Kapazitätsprobleme
sowie ein Mangel an altersgerechter Infrastruktur berichtet. Eine empirische
Empfehlung bezüglich eines geeigneten Behandlungssettings kann anhand
der Studienergebnisse nicht abgegeben werden.
Site-Selective Lewis Acid Mediated Transformation of Pseudo Glycals to 1-Deoxy-2-thioaryl/alkyl Glycosides
Authors: Hussain Nazar , Tiwari Bindu , Sharma Manish K. , Pandey Ram P. 
Published: July 2023

AbstractA site-selective Lewis acid mediated transformation of pseudoglycals with various thiols for the synthesis of C-2 thioaryl glycosides was developed. The substrate scope of the reaction was explored with various thiols having various functional groups on aromatic rings as well as with pseudoglycals obtained from different sugars. The compatibility and survival of various protecting groups on pseudoglycals and substituted thiols show tolerance under the reaction conditions. Finally, the potential synthetic utility of the synthesized compounds was demonstrated and also the late-stage modifications of various drugs and pharmaceuticals were also explored.
Access to Symmetrical and Unsymmetrical Cyclobutanes via Template-Directed [2+2]-Photodimerization Reactions of Cinnamic Acids
Authors: Türkmen Yunus Emre , Yagci Bilge Banu , Munir Badar , Zorlu Yunus 
Published: July 2023

AbstractIn this work, we have developed a general and broadly applicable template-directed photochemical [2+2]-cycloaddition reaction which provides access to a wide range of symmetrical and unsymmetrical cyclobutane products. The use of 1,8-dihydroxynaphthalene as a covalent template paved the way for successful and highly selective photochemical homodimerization and heterodimerization reactions in the solid state between cinnamic acid derivatives. Notably, the method works equally well with aryl- and heteroaryl-containing substrates leading to the formation of β-truxinic acid analogues as single diastereomers and in high yields (up to 99%).
What Goes Up, Must Come Down: A State-of-the-Art Electronic Health Record Downtime and Uptime Procedure in a Metropolitan Health Setting
Authors: Lyon Rachael , Jones Aaron , Burke Rosemary , Baysari Melissa T. 
Published: July 2023

Abstract
Background Electronic health records (EHRs) are used at most hospitals around the world, and downtime events are inevitable and common. Downtime represents a risky time for patients because patient information and critical EHR functionality are unavailable. Many institutions have used EHRs for years, with health professionals less likely to be familiar or comfortable with paper-based processes, resulting in an increased risk of errors during downtimes. There is currently limited guidance available on how to develop and operationalize downtime procedure at a local level. In this paper, we fill this gap by describing our state-of-the-art downtime and uptime procedure and its evaluation.
Method A district-wide downtime and uptime procedure was revised and standardized based on lessons learned from other health care organizations. The procedure outlines downtime and uptime preparations including downtime drills, downtime viewer auditing, and downtime education; downtime response including activating downtime and tracking patient changes; and uptime recovery including medication reconciliation and uptime documentation.
Implementation We implemented our new procedure across the district during an 8-hour planned downtime. A district downtime planning committee was formed, and a virtual command center was established to coordinate the downtime and uptime events. During downtime and uptime, onsite support was provided by the district's health informatics teams and clinicians. Data recovery was completed safely and efficiently with the revised uptime process. Following the event, we gathered staff feedback and reflections on implementing the procedure which highlighted its success but also revealed some areas for further improvement.
Conclusion In this paper, we describe a state-of-the-art EHR downtime and uptime procedure and lessons learned from its implementation. The implementation was successful with staff well prepared and information reconciled efficiently ensuring safe continuity of care. It was only through extensive planning, significant commitment, and engagement of all stakeholders that this outcome was possible.
Urinary Tract Infection Epidemiology in NICUs in the United States
Authors: Kilpatrick Ryan , Boutzoukas Angelique E. , Chan Elizabeth , Girgis Valerie , Kinduelo Vincent , Kwabia Sarah Ama , Yan Jenny , Clark Reese H. , Zimmerman Kanecia O. , Greenberg Rachel G. 
Published: July 2023

Objective Our objective was to characterize the incidence, associated clinical factors, timing of infection, microbiology, and incidence of concordant blood culture of urinary tract infections (UTIs) in very low birth weight (VLBW <1,500g) infants.
Study Design Multicenter observational cohort study of VLBW infants with gestational age (GA) ≤32 weeks, still hospitalized on postnatal day 7, and discharged 2010 to 2018 from Pediatrix Medical Group neonatal intensive care units. Demographic and clinical characteristics of infants with and without UTI were compared. Multivariable logistic regression evaluated adjusted odds of UTI diagnosis.
Results Of 86,492 included infants, 5,988 (7%) had a UTI. The most common pathogen was Enterococcus
spp. (20%), followed by Escherichia coli (19%) and Klebsiella
spp. (18%). Candida
spp. (6%) was the most common nonbacterial pathogen. Concordant-positive blood culture was present in 8% of infants with UTI diagnoses. UTI was associated with lower GA, male sex, vaginal delivery, prenatal steroid exposure, and longer duration of hospitalization.
Conclusion UTI is a common cause of infection in VLBW infants, especially among the smallest, most premature, male infants, and those with a longer duration of hospitalization. Neonatal clinicians should consider obtaining urine culture in the setting of late-onset sepsis evaluations in VLBW infants.
Key Points
Reviving natural history, building ecological civilisation: the philosophy and social significance of the Natural History Revival Movement in contemporary China
Authors: Fu Siyu , Nielsen Kristian H. 
Published: July 2023

AbstractThe concept of ecological civilisation has become enshrined in the Chinese constitution as a blueprint for sustainable development based on a changed relationship with nature. Achieving the ecological civilisation, however, is no easy task. True to its socialist one-party system and scientific outlook on development, the Chinese government continues to place emphasis on authoritarian governance and science-based innovation. Alternative approaches to ecological civilisation have received less attention. In this paper, we seek to understand the philosophical and social perspectives offered by the Natural History Revival Movement (NHRM) regarding China’s path to an ecological civilisation. Based on sources collected by means of snowball sampling, we perform a hermeneutic analysis of the NHRM and its meanings. As a philosophy, the NHRM draws on inspiration from a variety of sources, most of which are European. The NHRM, functioning as a social movement, encompasses the growing enthusiasm within Chinese society for naturalist studies and environmental monitoring, rooted in distinct Chinese origins. Examining the NHRM provides a glimpse into different sociotechnical imaginaries in China, aligning with the government’s ecological-civilisation vision yet questioning the methods employed to attain the objective.
Fluorine spillover for ceria- vs silica-supported palladium nanoparticles: A MD study using machine learning potentials
Authors: Liu Da-Jiang , Evans James W. 
Published: July 2023

Supported metallic nanoparticles play a central role in catalysis. However, predictive modeling is particularly challenging due to the structural and dynamic complexity of the nanoparticle and its interface with the support, given that the sizes of interest are often well beyond those accessible via traditional ab initio methods. With recent advances in machine learning, it is now feasible to perform MD simulations with potentials retaining near-density-functional theory (DFT) accuracy, which can elucidate the growth and relaxation of supported metal nanoparticles, as well as reactions on those catalysts, at temperatures and time scales approaching those relevant to experiments. Furthermore, the surfaces of the support materials can also be modeled realistically through simulated annealing to include effects such as defects and amorphous structures. We study the adsorption of fluorine atoms on ceria and silica supported palladium nanoparticles using machine learning potential trained by DFT data using the DeePMD framework. We show defects on ceria and Pd/ceria interfaces are crucial for the initial adsorption of fluorine, while the interplay between Pd and ceria and the reverse oxygen migration from ceria to Pd control spillover of fluorine from Pd to ceria at later stages. In contrast, silica supports do not induce fluorine spillover from Pd particles.