bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiation-induced DNA double-strand breaks in cortisol exposed fibroblasts as quantified with the novel foci-integrated damage complexity score (FIDCS)
Authors: Radstake Wilhelmina E. , Parisi Alessio , Miranda Silvana , Gautam Kiran , Vermeesen Randy , Rehnberg Emil , Tabury Kevin , Coppes Rob , van Goethem Marc-Jan , Brandenburg Sytze , Weber Ulrich , Fournier Claudia , Durante Marco , Baselet Bjorn , Baatout Sarah 
Published: May 2024

AbstractWithout the protective shielding of Earth’s atmosphere, astronauts face higher doses of ionizing radiation in space, causing serious health concerns. Highly charged and high energy (HZE) particles are particularly effective in causing complex and difficult-to-repair DNA double-strand breaks compared to low linear energy transfer. Additionally, chronic cortisol exposure during spaceflight raises further concerns, although its specific impact on DNA damage and repair remains unknown. This study explorers the effect of different radiation qualities (photons, protons, carbon, and iron ions) on the DNA damage and repair of cortisol-conditioned primary human dermal fibroblasts. Besides, we introduce a new measure, the Foci-Integrated Damage Complexity Score (FIDCS), to assess DNA damage complexity by analyzing focus area and fluorescent intensity. Our results show that the FIDCS captured the DNA damage induced by different radiation qualities better than counting the number of foci, as traditionally done. Besides, using this measure, we were able to identify differences in DNA damage between cortisol-exposed cells and controls. This suggests that, besides measuring the total number of foci, considering the complexity of the DNA damage by means of the FIDCS can provide additional and, in our case, improved information when comparing different radiation qualities.
Angulation and curvature of aortic landing zone affect implantation depth in transcatheter aortic valve implantation
Authors: Gorla Riccardo , Oliva Omar A. , Arzuffi Luca , Milani Valentina , Saitta Simone , Squillace Mattia , Poletti Enrico , Tusa Maurizio , Votta Emiliano , Brambilla Nedy , Testa Luca , Bedogni Francesco , Sturla Francesco 
Published: May 2024

AbstractIn transcatheter aortic valve implantation (TAVI), final device position may be affected by device interaction with the whole aortic landing zone (LZ) extending to ascending aorta. We investigated the impact of aortic LZ curvature and angulation on TAVI implantation depth, comparing short-frame balloon-expanding (BE) and long-frame self-expanding (SE) devices. Patients (n = 202) treated with BE or SE devices were matched based on one-to-one propensity score. Primary endpoint was the mismatch between the intended (HPre) and the final (HPost) implantation depth. LZ curvature and angulation were calculated based on the aortic centerline trajectory available from pre-TAVI computed tomography. Total LZ curvature ($${k}_{LZ,tot}$$

k

L
Z
,
t
o
t

) and LZ angulation distal to aortic annulus ($${\alpha }_{LZ,Distal}$$

α

L
Z
,
D
i
s
t
a
l

) were greater in the SE compared to the BE group (P < 0.001 for both). In the BE group, HPost was significantly higher than HPre at both cusps (P < 0.001). In the SE group, HPost was significantly deeper than HPre only at the left coronary cusp (P = 0.013). At multivariate analysis, $${\alpha }_{LZ,Distal}$$

α

L
Z
,
D
i
s
t
a
l

was the only independent predictor (OR = 1.11, P = 0.002) of deeper final implantation depth with a cut-off value of 17.8°. Aortic LZ curvature and angulation significantly affected final TAVI implantation depth, especially in high stent-frame SE devices reporting, upon complete release, deeper implantation depth with respect to the intended one.
Validity and reliability of the heart failure-specific health literacy scale in Turkish
Authors: Kalkim Asli , Karaman Emine , Birdal Oğuzhan , Tosun Taşar Pinar 
Published: May 2024

AbstractInadequate health literacy is common among adults with HF. The disease management process in HF closely depends on health literacy. No questionnaire is used to assess health literacy among Turkish patients with heart failure. This study aimed to determine the validity and reliability of the Turkish form of the ‘Heart Failure-Specific Health Literacy Scale’. The research is a methodological study design. The study was conducted at the cardiology clinic between May and July 2021, located in the eastern part of Türkiye. The study sample consisted of 121 patients with HF. Data were collected using the Personal Information Form and the Heart Failure-Specific Health Literacy Scale. The patients’ mean age was 62.88 ± 12.55 and 66.9% were men. Based on the factor analysis, three factors with eigenvalue above 1 have been identified. These model has been determined as x2 = 80.209, sd = 49 and p = 0.003. The fit indices were as follows: x2/SD = 1.637; RMSEA = 0.073, GFI = 0.90, CFI = 0.94, IFI = 0.95, TLI = 0.92 and NFI = 0.87. The scale has a total Cronbach’s alpha of 0.66. With test–retest analysis, it was determined that it had a good, positive and significant correlation in terms of both the scale and its sub-dimensions. The Turkish form of the form is a valid and reliable tool.
Predicting suitable habitat for the endangered tree Ormosia microphylla in China
Authors: Wei Lijuan , Wang Guohai , Xie Chunping , Gao Zequn , Huang Qinying , Jim C. Y. 
Published: May 2024

AbstractClimate change has significantly influenced the growth and distribution of plant species, particularly those with a narrow ecological niche. Understanding climate change impacts on the distribution and spatial pattern of endangered species can improve conservation strategies. The MaxEnt model is widely applied to predict species distribution and environmental tolerance based on occurrence data. This study investigated the suitable habitats of the endangered Ormosia microphylla in China and evaluated the importance of bioclimatic factors in shaping its distribution. Occurrence data and environmental variables were gleaned to construct the MaxEnt model, and the resulting suitable habitat maps were evaluated for accuracy. The results showed that the MaxEnt model had an excellent simulation quality (AUC = 0.962). The major environmental factors predicting the current distribution of O. microphylla were the mean diurnal range (bio2) and precipitation of the driest month (bio14). The current core potential distribution areas were concentrated in Guangxi, Fujian, Guizhou, Guangdong, and Hunan provinces in south China, demonstrating significant differences in their distribution areas. Our findings contribute to developing effective conservation and management measures for O. microphylla, addressing the critical need for reliable prediction of unfavorable impacts on the potential suitable habitats of the endangered species.
Topology optimization of the flat steel shear wall based on the volume constraint and strain energy assumptions under the seismic loading conditions
Authors: Chen Xi , Yan Gongxing , Hosseinzadeh Hasan 
Published: May 2024

AbstractIn structural engineering systems, shear walls are two-dimensional vertical elements designed to endure lateral forces acting in-plane, most frequently seismic and wind loads. Shear walls come in a variety of materials and are typically found in high-rise structures. Because steel shear walls are lighter, more ductile, and stronger than other concrete shear walls, they are advised for usage in steel constructions. It is important to remember that the steel shear wall has an infill plate, which can be produced in a variety of forms. The critical zones in flat steel shear walls are the joints and corners where the infill plate and frame meet. The flat infill plate can be modified to improve the strength and weight performance of the steel shear walls. One of these procedures is Topology Optimization (TO) and this method can reduce the weight and also, increase the strength against the cyclic loading sequences. In the current research paper, the TO of the infill steel plate was considered based on the two methods of volume constraint and maximization of strain energy. Four different volumes (i.e., 60%, 70%, 80%, and 90%) were assumed for the mentioned element in the steel shear wall. The obtained results revealed that the topology configuration of CCSSW with 90% volume constraint presented the highest seismic loading performance. The cumulated energy for this type of SSW was around 700 kJ while it was around 600 kJ for other topology optimization configurations.
The consequences of generative AI for online knowledge communities
Authors: Burtch Gordon , Lee Dokyun , Chen Zhichen 
Published: May 2024

AbstractGenerative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and content production across a variety of domains. These technologies have a significant potential to impact participation and content production in online knowledge communities. We provide initial evidence of this, analyzing data from Stack Overflow and Reddit developer communities between October 2021 and March 2023, documenting ChatGPT’s influence on user activity in the former. We observe significant declines in both website visits and question volumes at Stack Overflow, particularly around topics where ChatGPT excels. By contrast, activity in Reddit communities shows no evidence of decline, suggesting the importance of social fabric as a buffer against the community-degrading effects of LLMs. Finally, the decline in participation on Stack Overflow is found to be concentrated among newer users, indicating that more junior, less socially embedded users are particularly likely to exit.
Application of citizen science with the nationwide bird census
Authors: Lee Yerim , Do Yuno , Lineman Maurice , Joo Gea-Jae , Jo Hyunbin 
Published: May 2024

AbstractCitizen science (CS) is the most effective tool for overcoming the limitations of government and/or professional data collection. To compensate for quantitative limitations of the 'Winter Waterbird Census of Korea', we conducted a total of four bird monitoring via CS from 2021 to 2022. To use CS data alongside national data, we studied CS data quality and improvement utilizing (1) digit-based analysis using Benford’s law and (2) comparative analysis with national data. In addition, we performed bird community analysis using CS-specific data, demonstrating the necessity of CS. Neither CS nor the national data adhered to Benford's law. Alpha diversity (number of species and Shannon index) was lower, and total beta diversity was higher for the CS data than national data. Regarding the observed bird community, the number of species per family was similar; however, the number of individuals per family/species differed. We also identified the necessity of CS by confirming the possibility of predicting bird communities using CS-specific data. CS was influenced by various factors, including the perceptions of the survey participants and their level of experience. Therefore, conducting CS after systematic training can facilitate the collection of higher-quality data
Measurement of the reaction enthalpy of CO2 in aqueous solutions with thermographic and gravimetric methods
Authors: Jung-Fittkau Jessica , Diebold Josef , Kruse Andrea , Deigner Hans-Peter , Schmidt Magnus S. 
Published: May 2024

AbstractIn this work, a new concept for the approximate determination of the reaction enthalpy of the reaction between CO2 and monoethanolamine (MEA) in aqueous solution was developed. For this purpose, a CO2 gas stream was flowed into aqueous MEA solutions with different concentrations of 1 wt%, 2.5 wt% and 7.5 wt%. The weight difference ∆T, which is based on the increase in CO2 bound by the MEA over time, was documented using a thermographic camera. The mass difference ∆m, which is also based on the increase in CO2 bound by the MEA over time, was determined using a balance. By determining ∆T and ∆m, an approximate calculation of the reaction enthalpy is possible. The deviation from the values from the data known from the literature was less than 5% in all experiments.
The dynamics of functional brain network segregation in feedback-driven learning
Authors: Wang Xiaoyu , Zwosta Katharina , Hennig Julius , Böhm Ilka , Ehrlich Stefan , Wolfensteller Uta , Ruge Hannes 
Published: May 2024

AbstractPrior evidence suggests that increasingly efficient task performance in human learning is associated with large scale brain network dynamics. However, the specific nature of this general relationship has remained unclear. Here, we characterize performance improvement during feedback-driven stimulus-response (S-R) learning by learning rate as well as S-R habit strength and test whether and how these two behavioral measures are associated with a functional brain state transition from a more integrated to a more segregated brain state across learning. Capitalizing on two separate fMRI studies using similar but not identical experimental designs, we demonstrate for both studies that a higher learning rate is associated with a more rapid brain network segregation. By contrast, S-R habit strength is not reliably related to changes in brain network segregation. Overall, our current study results highlight the utility of dynamic functional brain state analysis. From a broader perspective taking into account previous study results, our findings align with a framework that conceptualizes brain network segregation as a general feature of processing efficiency not only in feedback-driven learning as in the present study but also in other types of learning and in other task domains.
Reduction of dust radial drift by turbulence in protoplanetary disks
Authors: Gerosa Fabiola Antonietta , Bec Jérémie , Méheut Héloïse , Kapoor Anand Utsav 
Published: May 2024

Context. Dust particles in protoplanetary disks rotate at velocities exceeding those of the surrounding gas due to a lack of pressure support. Consequently, they experience a headwind from the gas that drives them toward the central star. Radial drift occurs on timescales much shorter than those inferred from disk observations or those required for dust to aggregate and form planets. Additionally, turbulence is often assumed to amplify the radial drift of dust in planet-forming disks when modeled through an effective viscous transport. However, the local interactions between turbulent eddies and particles are known to be significantly more intricate than in a viscous fluid.
Aims. Our objective is to elucidate and characterize the dynamic effects of Keplerian turbulence on the mean radial and azimuthal velocities of dust particles.
Methods. We employed 2D shearing-box incompressible simulations of the gas, which is maintained in a developed turbulent state while rotating at a sub-Keplerian speed. Dust is modeled as Lagrangian particles set at a Keplerian velocity, therefore experiencing a radial force toward the star through drag.
Results. Turbulent eddies are found to reduce the radial drift, while simultaneously enhancing the azimuthal velocities of small particles. This dynamic behavior arises from the modification of dust trajectories due to turbulent eddies.
An HTTP REST API for Tape-backed Storage
Authors: Afonso João , Caffy Cédric , Patrascoiu Mihai , Leduc Julien , Davis Michael , Murray Steven , Cortes Pablo 
Published: May 2024

The goal of the HTTP REST API for Tape project is to provide a simple, minimalistic and uniform interface to manage data transfers between Storage Endpoints (SEs) where the source file is on tape. The project is a collaboration between the developers of WLCG storage systems (EOS+CTA, dCache, StoRM) and data transfer clients (gfal2, FTS).For some years, HTTP has been growing in popularity as the preferred data transfer protocol between many WLCG SEs. However — unlike other protocols such as XRootD and SRM — HTTP does not include a method to stage files from tape to disk prior to transfer, forcing the use of workarounds such as hybrid protocols (different protocols used for the “stage” and “transfer” parts of the operation). The HTTP REST API offers a simple and consistent solution, by extending the HTTP protocol to include staging operations. It provides clients with a common and consistent API across different storage systems to manage and monitor the disk and tape residency of stored files.In this contribution, we present the history and motivation of the HTTP REST API project, the specification of version 1 of the API and implementation details in the various storage and data transfer systems. We also describe our experience of its deployment and use for LHC Run-3 operations. We conclude with a discussion of possible future work.
Extending Rucio with modern cloud storage support
Authors: Barisits Martin , Barnsley Robert , Barreiro Megino Fernando Harald , Elmsheuser Johannes , Lassnig Mario , Patrascoiu Mihai , Perry James , Serfon Cedric , Vendrell Moya Alba , Wegner Tobias 
Published: May 2024

Rucio is a software framework designed to facilitate scientific collaborations in efficiently organising, managing, and accessing extensive volumes of data through customizable policies. The framework enables data distribution across globally distributed locations and heterogeneous data centres, integrating various storage and network technologies into a unified federated entity. Rucio offers advanced features like distributed data recovery and adaptive replication, and it exhibits high scalability, modularity, and extensibility.
Originally developed to meet the requirements of the high-energy physics experiment ATLAS, Rucio has been continuously expanded to support LHC experiments and diverse scientific communities. Recent R&D projects within these communities have evaluated the integration of both private and commercially-provided cloud storage systems, leading to the development of additional functionalities for seamless integration within Rucio. Furthermore, the underlying systems, FTS and GFAL/Davix, have been extended to cater to specific use cases.
This contribution focuses on the technical aspects of this work, particularly the challenges encountered in building a generic interface for self-hosted cloud storage, such as MinIO or CEPH S3 Gateway, and established providers like Google Cloud Storage and Amazon Simple Storage Service. Additionally, the integration of decentralised clouds like SEAL is explored. Key aspects, including authentication and authorisation, direct and remote access, throughput and cost estimation, are highlighted, along with shared experiences in daily operations.
MiniDAQ-3: Providing concurrent independent subdetector data-taking on CMS production DAQ resources
Authors: Amoiridis Vassileios , Behrens Ulf , Bocci Andrea , Branson James , Brummer Philipp , Cano Eric , Cittolin Sergio , Da Silva Almeida Da Quintanilha Joao , Darlea Georgiana-Lavinia , Deldicque Christian , Dobson Marc , Dvorak Antonin , Gigi Dominique , Glege Frank , Gomez-Ceballos Guillelmo , Gorniak Patrycja , Gutić Neven , Hegeman Jeroen , Izquierdo Moreno Guillermo , James Thomas Owen , Karimeh Wassef , Kartalas Miltiadis , Krawczyk Rafał Dominik , Li Wei , Long Kenneth , Meijers Frans , Meschi Emilio , Morović Srećko , Orsini Luciano , Paus Christoph , Petrucci Andrea , Pieri Marco , Rabady Dinyar Sebastian , Racz Attila , Rizopoulos Theodoros , Sakulin Hannes , Schwick Christoph , Šimelevičius Dainius , Tzanis Polyneikis , Vazquez Velez Cristina , Žejdl Petr , Zhang Yousen , Zogatova Dominika 
Published: May 2024

The data acquisition (DAQ) of the Compact Muon Solenoid (CMS) experiment at CERN, collects data for events accepted by the Level-1 Trigger from the different detector systems and assembles them in an event builder prior to making them available for further selection in the High Level Trigger, and finally storing the selected events for offline analysis. In addition to the central DAQ providing global acquisition functionality, several separate, so-called “MiniDAQ” setups allow operating independent data acquisition runs using an arbitrary subset of the CMS subdetectors.
During Run 2 of the LHC, MiniDAQ setups were running their event builder and High Level Trigger applications on dedicated resources, separate from those used for the central DAQ. This cleanly separated MiniDAQ setups from the central DAQ system, but also meant limited throughput and a fixed number of possible MiniDAQ setups. In Run 3, MiniDAQ-3 setups share production resources with the new central DAQ system, allowing each setup to operate at the maximum Level-1 rate thanks to the reuse of the resources and network bandwidth. Configuration management tools had to be significantly extended to support the synchronization of the DAQ configurations needed for the various setups.
We report on the new configuration management features and on the first year of operational experience with the new MiniDAQ-3 system.
The ALICE Data Quality Control
Authors: von Haller Barthélémy , Konopka Piotr 
Published: May 2024

ALICE (A Large Ion Collider Experiment) has undertaken a major upgrade during the Long Shutdown 2. The increase in the detector data rates, and in particular the continuous readout of the TPC, led to a hundredfold increase in the input raw data, up to 3.5 TB/s. To cope with it, a new common Online and Offline computing system, called O2, has been developed and put in production.The online Data Quality Monitoring (DQM) and the offline Quality Assurance (QA) are critical aspects of the data acquisition and reconstruction software chains. The former intends to provide shifters with precise and complete information to quickly identify and overcome problems while the latter aims at selecting good quality data for physics analyses. Both DQM and QA typically involve the gathering of data, its distributed analysis by user-defined algorithms, the merging of the resulting objects and their visualization.This paper discusses the final architecture and design of the Quality Control (QC), which runs synchronously to data taking and asynchronously on the Worldwide LHC Computing Grid. Following the successful first year of data taking with beam, we will present our experience and the lessons we learned, before and after the LHC restart, when monitoring the data quality in a realworld and challenging environment. We will finally illustrate the wide range of usages people make of this system by presenting a few, carefully picked, use cases.
Track reconstruction for the ATLAS Phase-II Event Filter using GNNs on FPGAs
Authors: Dittmeier Sebastian 
Published: May 2024

The High-Luminosity LHC (HL-LHC) will provide an order of magnitude increase in integrated luminosity and enhance the discovery reach for new phenomena. The increased pile-up necessitates major upgrades to the ATLAS detector and trigger. The Phase-II trigger will consist of two levels, a hardware-based Level-0 trigger and an Event Filter (EF) with tracking capabilities. Within the Trigger and Data Acquisition group, a heterogeneous computing farm consisting of CPUs and potentially GPUs and/or FPGAs is under study, together with the use of modern machine learning algorithms such as Graph Neural Networks (GNNs).
GNNs are a powerful class of geometric deep learning methods for modelling spatial dependencies via message passing over graphs. They are well-suited for track reconstruction tasks by learning on an expressive structured graph representation of hit data and considerable speedup over CPU-based execution is possible on FPGAs.
The focus of this publication is a study of track reconstruction for the Phase-II EF system using GNNs on FPGAs. We explore each of the steps in a GNN-based EF tracking pipeline: graph construction, edge classification using an interaction network, and track reconstruction. Several methods and hardware platforms are under evaluation, studying resource utilisation and minimization of model size using quantization aware training, while simultaneously retaining high track reconstruction efficiency and low fake rates required for the EF tracking system.