bluuebunny/crossref_metadata_2025_split huggingface dataset:
Main achievements and impact of EURAD, the European Joint Programme on Radioactive Waste Management (2019–2024)
Authors: O’Neill Naïm , Carbol Paul , Grambow Bernd , Théodon Louise , Zuidema Piet 
Published: December 2024

Co-funded by the European Commission, EURAD has operated for 5 years and has successfully achieved a step-change towards a more effective and efficient use of public funding in Europe by bringing the European waste management community together.
Its main achievements are rooted in its governance structure, fostering interaction and collaboration among Waste Management Organisations, Technical Safety Organisations and Research Entities. A key success factor was the development and update of the Strategic Research Agenda and Roadmap, which guided efforts, addressed emerging challenges and ensured alignment across Member States.
EURAD’s impact is highlighted by its comprehensive R&D framework, which covers the entire lifecycle of radioactive waste management. EURAD successfully advanced knowledge in various areas, including advanced waste treatment, geological disposal, and safety assessments. The programme also emphasised the importance of knowledge management, ensuring the transfer and preservation of expertise between waste management programmes and across generations through training, mobility, guidance and the publication of scientific resources, and making information more easily available.
EURAD not only strengthened collaboration among EU Member States but also fostered international partnerships, significantly contributing to the global advancement of radioactive waste management. As EURAD concludes, its legacy will continue with EURAD-2, set to begin in October 2024, further building on the foundations laid by its predecessor.
Uroperitoneum beim neugeborenen Fohlen
Authors: Bernick André , Wehrend Axel 
Published: December 2024

Zusammenfassung
Gegenstand und Ziel Das Uroperitoneum ist eine typische Erkrankung des
neugeborenen Fohlens, die selten, aber regelmäßig auftritt. Ziel der
vorliegenden Studie ist es, die klinische Symptomatik, labordiagnostische
Befunde und die Prognose bei betroffenen Fohlen darzustellen.
Material und Methoden Es wurden retrospektiv die Daten von 33 Fohlen mit
der Erkrankung Uroperitoneum im Zeitraum von 2006 bis Ende Juni 2018
ausgewertet.
Ergebnisse Das Uroperitoneum trat mit einer Häufigkeit von 2,3% bezogen
auf alle vorgestellten Fohlen bis zum 14. Lebenstag im Untersuchungszeitraum
auf. Es waren signifikant mehr Hengst- (78,8%) als Stutfohlen (21,2%) betroffen
(p=0,012). Typische Symptome waren ein gestörtes Allgemeinbefinden (79,3%),
Tachypnoe (74,1%), Tachykardie (71,4%), ein prall gefülltes Abdomen (79,2%),
eine stark aufgetrommelte (60%) bzw. gespannte (32%) Bauchdecke und Tenesmus
vesicae (46,7%). Das Durchschnittsalter zum Zeitpunkt der Diagnose lag bei
4,3±3,4 Tagen (Median: 3 Tage, Spannweite:<1 bis 14 Tage). Es wurden 26
Fohlen operiert, von denen 16 (61,5%) gesund entlassen werden konnten. Häufige
labordiagnostische Befunde im venösen Blut zum Zeitpunkt der Diagnose sind eine
Hypochloridämie (91,2%), eine erhöhte Kreatininkonzentration (77,8%),
Hyperkaliämie (74,2%) und Hyponatriämie (71%). Bei 6 Fohlen entwickelte sich ein
Rezidiv des Uroperitoneums. Fünf Fohlen wurden erneut operiert, 4
erfolgreich.Es konnten 12 entlassene Fohlen mindestens 6 Monate nach der Operation verfolgt
werden (6 Monate bis 9 Jahre). 91,7% der Fohlen waren zu diesem Zeitpunkt am
Leben und keines der Tiere entwickelte eine Gesundheitsstörung, die auf die
Operation am Harntrakt zurückzuführen ist.
Schlussfolgerung und klinische Relevanz Die kurzfristige Prognose des
Uroperitoneums ist gut, wenn die Erkrankung frühzeitig erkannt und therapiert
wird und keine bzw. wenige Begleiterkrankungen vorliegen. Zur rechtzeitigen
Erkennung eines Rezidivs sollte die Integrität der Blase postoperativ wiederholt
sonografisch überprüft werden. Die weitere langfristige Prognose ist sehr
gut.
Pulmonale Mycobacterium avium-Infektion bei 2
Hauskatzen
Authors: Gareis Hannah , Brühschwein Andreas , Schulz Bianka 
Published: December 2024

ZusammenfassungZwei Hauskatzen (Abessinier und Karthäuser) wurden mit chronischen
respiratorischen Symptomen in Form von Husten, Atemgeräuschen und Polypnoe
vorgestellt. Eine der Katzen zeigte zudem intermittierend Fieber. Die
röntgenologischen Untersuchungen des Brustraums zeigten hochgradige
Veränderungen mit überwiegend mikronodulären interstitiellen Lungenmustern,
teils mit Mineralisationen. Die Zytologie der Bronchoalveolarlavageflüssigkeit
(BALF) detektierte eine pyogranulomatöse Entzündung. Eine zytologische
Untersuchung auf säurefeste Bakterien sowie eine PCR auf Mykobakterien Spezies
aus der BALF waren bei beiden Katzen negativ. Eine Mykobakterien-Kultur
der BALF konnte jeweils eine Subspezies von Mycobacterium avium bei
beiden Katzen nachweisen. Während die klinischen Symptome, nicht aber die
röntgenologischen Befunde, bei einer Katze mit langanhaltender
doppelantibiotischer Therapie kontrolliert werden konnten, entwickelte die
andere Katze kurz nach Diagnosestellung eine septische Peritonitis und wurde
euthanasiert. Bei ungeklärten chronischen Atemwegserkrankungen bei Katzen sollte
eine Mykobakterieninfektion differentialdiagnostisch in Betracht gezogen werden.
Die Rasse des ersten Patienten geht mit der bekannten Prädisposition für
Abessinier konform.
A Case Report of Neuroleukemiosis Detected on FDG PET Scan in a Patient of Mixed Phenotype Acute Leukemia Post Bone Marrow Transplantation in Remission
Authors: Soundararajan Ramya , Yadav Archana , AVS Anil Kumar , Jangir Hemlata 
Published: December 2024

AbstractNeuroleukemiosis, an exceedingly rare manifestation of leukemia, is defined as peripheral nerve infiltration by leukemic cells. The typical clinical presentation is with peripheral neuropathy and/or chloromatous masses. The diagnosis of this condition is quite challenging, as symptoms usually appear in patients during remission and there are no other signs of relapse. The diagnosis is supported with electrophysiologic testing and imaging and finally established with histopathology and immunophenotyping. We present a case of multineuritis in a patient with mixed phenotype acute leukemia during remission post allogeneic hematopoietic stem cell transplant, where inflamed thickened nerves were detected on positron emission tomography/computed tomography imaging with fluorine-18 fluorodeoxyglucose. A diagnosis of neuroleukemiosis was established via biopsy and immunophenotyping. The literature is reviewed regarding this interesting and rare clinical condition.
Impact of Co doping on the magnetic and transport properties of FeRh
Authors: Seo Sang-il , Park Min-Tae , Jung Myung-Hwa 
Published: December 2024

FeRh undergoes a first-order phase transition from the antiferromagnetic (AFM) to ferromagnetic (FM) state at ∼370 K, which is highly sensitive to strain and compositional changes. In this study, we investigate the magnetic and electronic properties of Co-doped FeRh films fabricated using a co-sputtering technique, to address how the magnetic transition behavior is influenced by the doping in FeRh films. By adjusting Co sputtering gun currents (=0, 5, 8, and 10 mA), we achieve Co doping levels from 1 to 2 at. %, where initial Co atoms (for 5 and 8 mA) substitute Rh sites, while doped Co levels (for 10 mA) begin to occupy Fe sites with unchanged Co doping level of 2 at. %. We find that Co substitution significantly lowers the transition temperature, attributed to an enhancement of the FM phase due to the contribution of magnetic Co doping. Furthermore, the Co doping leads to a remarkable increment in the magnetoresistance ratio during the transition, reaching up to 190% for only 2 at. % Co doping, while keeping the magnetization change. The Hall effect measurements indicate a slight reduction in carrier density with Co doping, maintaining changes in carrier type across the phase transition. These results highlight the tunable magnetic phase transition and resistance changes in Co-doped FeRh films. This study provides valuable insights into the complex physics underlying the Co doping in FeRh films, emphasizing their scientific value in understanding the mechanism of the AFM–FM transitions in achieving high magnetoresistance.
Enhancing He 2 3S1 state production in the burst regime of a nanosecond discharge
Authors: Britun Nikolay , Hori Masaru 
Published: December 2024

Abstract
Atmospheric repetitive He discharge with 10 ns current peak width working in the burst pulse regime was studied. The production of He 3S1 and 1S0 metastable states was examined using laser- collisions- induced fluorescence and atomic absorption spectroscopy. Both methods independently reveal a significant increase of 3S1 population in the burst regime, depending on the plasma pulse separation time in the burst. Up to a seven-fold increase in the 3S1 population was detected after the third pulse in a 3-pulse burst sequence (as compared to the value obtained after the first pulse or in a single pulse regime), not requiring additional applied power. The observed effect is explained by recombination between the electrons and the ground state ions (He+, He

2
+

) produced in the previous plasma pulse and refilling the volume of interest in few hundred µs.
Investigation of divertor heat flux characteristics under the influence of resonant magnetic perturbations on EAST
Authors: Liang Ruirong , Gong Xianzu , Zhang Bin , Jia Manni , Yang Hua , Ma Qun , Sun Youwen , Yang Zhendong , Hu Yunchan , Wang Zuhao , Wang Wei , Guo Yutong , Song Jinwen , Qian Jinping ,   the EAST Team
Published: December 2024

Abstract
Controlling the splitting divertor heat flux caused by resonant magnetic perturbations (RMPs) is a topic of concern for fusion devices. As a fundamental prerequisite, it is necessary to understand the characteristics of the heat flux distribution under the applied RMP field, which will be studied in this paper. The nonlinear phenomenon of strike point splitting was found to be strongly dependent on the plasma response under RMP. These splitting heat flux distributions are qualitatively explained by the simulated magnetic footprints. The RMP phase scanning experiment shows that scanning in a certain range of relative phase can maintain good edge-localized mode (ELM) mitigation and simultaneously sweep the striations of heat flux on divertor target. Additionally, even in upper single null (USN) configurations, heat stripes are observed on the lower outer divertor (LO-div), attributed to RMP-induced additional magnetic connections to the LO-div, as confirmed by magnetic topology simulations. A dedicated investigation into the impact of the discrepancy between lower and upper separatrix radii mapped to the low field side mid-plane (

d

R

sep

) reveals its significant influence on both ELM control and heat flux distribution. Within a certain range of

d

R

sep

, the heat flux distribution is improved while ELM suppression is maintained. These findings contribute to divertor heat flux understanding under RMP conditions in tokamak operations.
Vibration condition analysis based on surface-underground engineering measurement parameters
Authors: Fan Jinchao , Fang Chao , Xu Zhaohui , Lin Zili 
Published: December 2024

Abstract
Accurate identification of abnormal vibration conditions is an important guarantee for drilling safety. In the process of deep oil and gas and unconventional oil and gas production, only the surface parameters can not effectively identify the abnormal vibration conditions in the drilling process. It is an important method to accurately identify abnormal vibration conditions to obtain the engineering parameters near the bit by using downhole parameter measurement tools and analyze the data combined with the surface logging data. To solve the above problems, this paper firstly studies the storage downhole parameter measurement tool, which can obtain the parameters of weight on bit, speed, torque, temperature, pressure and acceleration near the bit position. Finally, field tests are carried out, and the experimental results show that the tool can effectively obtain engineering parameters near the bit position, and can effectively identify abnormal downhole vibration conditions based on surface-downhole parameters, which can provide strong support for drilling operations.
Research on the factors influencing production capacity of backflow effect after fracturing
Authors: Bi Yancheng , Wu Yan , Sun Bing , Zhang Libao , Xu Zengqian , Song Zhiqun 
Published: December 2024

Abstract
In the development of unconventional oil and gas reservoirs, fracturing has become a conventional way to improve single well recovery. The backflow process after fracturing, as the last process before production, is the key to determining the effectiveness of fracturing transformation. However, due to the complexity of the backflow problem, there is currently no mature theory of backflow after hydraulic fracturing. The on-site backflow process is often determined by experience, which has great blindness and arbitrariness. In response to this challenge, a comprehensive consideration is given to the issues of crack closure, formation fluid flow, and wellbore flow involved in fracturing backflow. Grey correlation degree and an improved grey correlation degree method are introduced to conduct grey correlation degree analysis on the parameters affecting the fracturing backflow effect. establish a systematic trend of change, and establish a model for the main factors affecting the effect. Analyze the patterns reflected in the changes of the system and provide the influencing factors with the highest weight. The research results have achieved theoretical guidance for stabilizing pressure, controlling liquid, and controlling sand during the backflow process, providing important scientific support for efficient backflow.
Intelligent prediction of oil well working conditions based on Transformer
Authors: Ma Yibo , Li Xiangyu , Yuan Chunhua 
Published: December 2024

Abstract
Intelligent prediction of oil well working conditions aims to realize intelligent troubleshooting of oil well faults through real-time monitoring and analysis of oil well operation status data. In order to improve well production efficiency, reduce maintenance costs and extend equipment life, this study proposes an intelligent prediction method based on Transformer model. This method uses the powerful sequence processing ability of Transformer to perform deep learning modeling on the well operation data, especially the analysis of key parameters such as phase A voltage, phase A current, phase B voltage, phase B current, phase C voltage, phase C current, power and power factor. Train and test the model to evaluate its accuracy and reliability in failure prediction. Experimental results show that the Transformer-based prediction model performs well in well failure prediction, can accurately identify potential faults and warn in advance, and significantly reduces unplanned downtime and maintenance costs. The model not only has a high numerical value in prediction accuracy, but also has a strong generalization ability, which is suitable for different types of oil wells and working conditions, and the prediction accuracy of the model reaches 92.31%. The intelligent prediction method of oil well working conditions based on Transformer has high application value and broad prospects. Future research can further optimize the structure and parameters of the model to improve its prediction performance under complex working conditions.
Research on trajectory measurement strategy while drilling based on screen lowering process
Authors: Qin Yi 
Published: December 2024

Abstract
In view of the soft coal seam drilling construction of small and medium-sized rotary drilling rigs in coal mines, the soft coal seam is usually used to support the hole wall due to the loose coal quality. The traditional wireless storage measurement trajectory instrument has a large outer diameter, which cannot realize the measurement while drilling in the drilling construction while the screen is lowered. In this paper, a reduced storage borehole trajectory measuring instrument is proposed, and the outer diameter and length of the probe tube are improved to be 20 mm and 692 mm. A fixed support structure for the probe pipe is designed, which can be applied to the drill pipe with an outer diameter of φ≥73mm, which is convenient for the measurement of the trajectory while drilling of the soft coal seam in the construction of the screen pipe. The industrial test shows that the measurement accuracy of the inclinometer is ± 0.2° in azimuth and plus or minus 0.1° in inclination, which realizes the process requirements of screen lowering without redrilling measurement.
Charge-exchange measurements of high-energy fast ions in LHD using negative-ion neutral beam injection
Authors: Hayashi W.H.J. , Heidbrink W.W. , Muscatello C.M. , Lin D.J. , Osakabe M. , Ogawa K. , Kawamoto Y. , Yamaguchi H. , Seki R. , Nuga H. , Isobe M. , Fujiwara Y. , Kamio S. 
Published: December 2024

Abstract
A new sightline geometry for the fast-ion D-alpha (FIDA)
diagnostic on the Large Helical Device (LHD) has been confirmed to
measure signals for high-energy fast ions produced by negative-ion
neutral beam injection. The newly installed sightline uses a
180 keV tangential negative-ion neutral beamline as the active
source. Due to the small angle between the beamline and FIDA
sightline, the relative velocity between fast ions and injected
neutrals is small. This allows for high-energy fast ions just below
the beam injection energy to produce measurable Doppler-shifted FIDA
emission. Experiments were conducted at LHD in order to compare the
new sightline, which views a high-energy negative-ion tangential
beamline, and the old sightline, which views a low-energy
perpendicular positive-ion neutral beamline. The measured FIDA
signal is validated against predictions from the synthetic fast-ion
diagnostic code FIDASIM with a distribution function modelled by the
5D transport code GNET. The results of the experiment confirm that
reducing the viewing angle with a tangential active beam allows FIDA
diagnostic to view high-energy fast ions with a sufficient
signal-to-noise ratio.
Impact of cloud radiative forcing on tropical cyclone frequency and intensity through tuning the cloud ice-to-snow diameter threshold
Authors: Zhang Lujia , Huang Yuanyuan , Lu Mengqian , Shi Xiaoming 
Published: December 2024

Abstract
Cloud radiative effect (CRE) is crucial for the development of tropical cyclones (TCs). This study investigates the impact of cloud radiation on TC seeds and TCs in an aquaplanet model by tuning ‘threshold diameter to convert cloud ice particles to snow’ (DCS). With increased cloud cover associated with higher DCS, seed frequency decreases, but the greater intensity increase of seeds leads to a higher survival rate from seeds to TCs. The changes in large-scale circulation within the models are responsible for the reduced seed frequency. Higher DCS enhances equatorial cloud liquid and ice amounts, thereby intensifying radiation heating to the tropics. Increased radiation leads to more moisture and higher temperatures at high levels and increases the temperature gradient from the tropics to the subtropics, thereby intensifying the Hadley circulation. The resulting decrease in convective available potential energy and intensification of vertical wind shear act as inhibiting factors for seed genesis. Besides, the presence of more high-level clouds accumulates both longwave and shortwave heating, creating favorable thermal conditions for the circulation to develop at the mesoscale. This process supports the growth of seeds into mature TCs, resulting in higher survival rates from seeds to TCs. The findings on TCs and CRE in aquaplanet models could serve as a foundation and provide evidence for studies conducted in more complex environmental conditions.
An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations
Authors: Byun Kyuhyun , Hamlet Alan F 
Published: December 2024

Abstract
Quantifying and correcting biases in modeling simulations is crucial for deriving meaningful findings across various scientific disciplines. Climate model simulations, in particular, often exhibit systemic biases when compared to observations. These biases may persist in future climate simulations, affecting the results of many climate change impact assessment studies. Empirical quantile mapping (QM) is a widely used method to correct these biases by mapping quantiles between observed and simulated cumulative distribution functions (CDFs). However, empirical QM faces a fundamental challenge when the CDF of future simulations differs from historical simulations, potentially leading to extreme values falling outside the historical CDF range. To address this issue, our study introduces a novel approach to extrapolate future extreme values for bias correction, preserving the rank order of simulated future extremes. By construction, our approach ensures that bias-corrected values are not exaggerated and retain the rank structure of the original simulated data while preserving climate change signals in the bias-corrected outputs. In addition, our approach includes a technique to adjust the wet-day frequency for precipitation by preserving the ratio of wet-day frequency between observations and historical model simulations.
Experimental investigation and modelling of the noise and vibration in screw compressors
Authors: Willie J F , Ganatra R 
Published: December 2024

Abstract
This article presents work on the extension of torsional models development for screw compressors. These compressors are common in industry and their vibration behavior and signature are very important. When neglected in the design, it can lead to torsional or structural resonance or lateral vibration in the machine during operation and in the worst case to catastrophic failure of the machine. The screw compressors presented here are used for bulk transport on trucks. They are designed and built by CVS Engineering GmbH. Measurements in the lab and field test showed that the torque peak in the drive shaft can fluctuate and show large values than normal when the first torsional mode is excited by 1 × the input speed. They also show that the nature of the excitation and hence the response of the machine depends on the drive and the excitation amplitude, which depends strongly on the prop-shaft angle. To predict this behavior, detailed free and forced torsional models are developed and validated with measurements. The latter enables the validation of the torque peaks obtained in measurement. The drive train configuration (branched or unbranched) is
Modeling intratumor heterogeneity in breast cancer
Authors: McDonough Elizabeth , Barroso Margarida , Ginty Fiona , Corr David T 
Published: December 2024

Abstract
Reduced therapy response in breast cancer has been correlated with heterogeneity in biomarker composition, expression level, and spatial distribution of cancer cells within a patient tumor. Thus, there is a need for models to replicate cell–cell, cell–stromal, and cell–microenvironment interactions during cancer progression. Traditional two-dimensional (2D) cell culture models are convenient but cannot adequately represent tumor microenvironment histological organization, in vivo 3D spatial/cellular context, and physiological relevance. Recently, three-dimensional (3D) in vitro tumor models have been shown to provide an improved platform for incorporating compositional and spatial heterogeneity and to better mimic the biological characteristics of patient tumors to assess drug response. Advances in 3D bioprinting have allowed the creation of more complex models with improved physiologic representation while controlling for reproducibility and accuracy. This review aims to summarize the advantages and challenges of current 3D in vitro models for evaluating therapy response in breast cancer, with a particular emphasis on 3D bioprinting, and addresses several key issues for future model development as well as their application to other cancers.