bluuebunny/crossref_metadata_2025_split huggingface dataset:
A stochastic model of preventive maintenance strategies for wind turbine gearboxes considering the incomplete maintenance
Authors: Su Hongsheng , Li Yuqi , Cao Qian 
Published: March 2024

AbstractIn contemporary large wind farms, the combination of condition-based maintenance (CBM) and time-based maintenance (TBM) has become a prevalent approach in preventive maintenance, which is an indispensable part to ensure the safe, stable and environmental operation of equipment. However, the utilization of an inappropriate maintenance strategy may result in over-maintenance or under-maintenance, leading to unstable equipment operation. Furthermore, the majority of preventive maintenance involves replacement maintenance, which may have adverse effects on the performance of wind turbines with excessive maintenance time. Therefore, this paper takes the gearbox as a case study to introduce the incomplete maintenance parameters into the failure rate function to establish a state model based on the stochastic differential equation (SDE) and describing the state change of incomplete maintenance. And then simulating the state model of the gearbox and the joint preventive maintenance strategy of TBM and CBM through examples, resulting the time-based incomplete maintenance (TBIM) is proposed based on the TBM and the incomplete maintenance, and a new joint preventive maintenance strategy incorporating TBIM and CBM is proposed. Through developing the decision-making process of the maintenance strategy to optimize the inappropriate maintenance which including over-maintenance and under-maintenance and simulating the optimized preventive maintenance strategy to compare with that of TBM and CBM and verify the superiority and effectiveness of the proposed maintenance method.
Revealing per-grain and neighbourhood stress interactions of a deforming ferritic steel via three-dimensional X-ray diffraction
Authors: Ball James A. D. , Kareer Anna , Magdysyuk Oxana V. , Michalik Stefan , Connolley Thomas , Collins David M. 
Published: March 2024

AbstractThe structural performance of polycrystalline alloys is strongly controlled by the characteristics of individual grains and their interactions, motivating this study to understand the dynamic micromechanical response within the microstructure. Here, a high ductility single-phase ferritic steel during uniaxial deformation is explored using three-dimensional X-ray diffraction. Grains well aligned for dislocation slip are shown to possess a wide intergranular stress range, controlled by per-grain dependent hardening activity. Contrariwise, grains orientated poorly for slip have a narrow stress range. A grain neighbourhood effect is observed of statistical significance: the Schmid factor of serial adjoining grains influences the stress state of a grain of interest, whereas parallel neighbours are less influential. This phenomenon is strongest at low plastic strains, with the effect diminishing as grains rotate during plasticity to eliminate any orientation dependent load shedding. The ability of the ferrite to eliminate such neighbourhood interactions is considered key to the high ductility possessed by these materials.
Fucoidan enhances the anti-tumor effect of anti-PD-1 immunotherapy by regulating gut microbiota
Authors: Li Hui , Dong Tieying , Tao Meng , Zhao Haifeng , Lan Tongtong , Yan Shiyu , Gong Xinyi , Hou Qilong , Ma Xuezhen , Song Yang 
Published: March 2024

Fucoidan potentiated the antitumour effect with anti-PD-1 monoclonal antibody via enhancing CD8 T cells function, increasing the production of IFN-γ, TNF-α, and GZMB and reducing the suppression effect of Treg in circulating system, which might be addressed by reshaping gut microbiota.
Azlactone-based copolymers by redox-initiated MADIX polymerization at room temperature in ethanol
Authors: François Francesca , Gody Guillaume , Wilson James , Fontaine Laurent , Pascual Sagrario 
Published: March 2024

Macromolecular design via the interchange of xanthate polymerization of 2-vinyl-4,4-dimethylazlactone is studied under industrially viable conditions to access a reactive polymer platform.
Detection of hepatocellular carcinoma methylation markers in salivary DNA
Authors: Mezzacappa Catherine , Wang Zhanwei , Lu Lingeng , Risch Harvey , Taddei Tamar , Yu Herbert 
Published: March 2024

Abstract
Background: Alterations to DNA methylation have been identified in both hepatocellular carcinoma (HCC) tumor and circulating DNA from affected individuals. These markers have potential utility in HCC screening. Adherence to HCC screening is poor and acceptable HCC screening tests are needed.
Methods: A feasibility study was performed on a subset of case patients and control subjects from a prior study of risk factors for HCC. Case patients (n=12) included adults aged 47–85 years with a first diagnosis of HCC between 2011 and 2016 and without viral hepatitis. Control subjects (n=12) were matched on age, sex, and state of residence. Participants provided saliva samples for DNA genotyping. Log fold change in salivary DNA methylation at 1359 CpG sites representing 25 candidate genes previously associated with HCC was compared across case patients and control subjects.
Results: The quantity of DNA ranged from 9.65 to 257.79 μg. The purity of DNA isolates was good, with mean OD260/280 ratio of 1.78 (SD: 0.14). Of 25 candidate genes, 16 had at ≥1 CpG site with detectable differences in methylation across HCC case patients and control subjects. Sites differentially methylated in HCC case patients included genes encoding tumor suppressors (PRDM2, RUNX3, p15/16, and RASSF1/5), regulators of cell cycle progression (DAPK1 and TP73), and DNA repair (MGMT and GSTP1). No associations met the significance threshold 3.7 × 10−5 required for multiple comparisons.
Conclusions: Salivary DNA may be a feasible alternative to blood samples in the era of novel DNA-based screening tests for HCC. The ease of saliva-based testing supports further investigation of its potential.
GLACE survey: OSIRIS/GTC tuneable imaging of the galaxy cluster ZwCl 0024.0+1652
Authors: Cedrés Bernabé , De Daniloff Simon B. , Bongiovanni Ángel , Sánchez-Portal Miguel , Cerviño Miguel , Pérez-Martínez Ricardo , Pérez-García Ana María , Cepa Jordi , Lara-López Maritza A. , González-Otero Mauro , Castillo-Fraile Manuel , González-Serrano José Ignacio , Negrete Castalia Alenka , Padilla-Torres Camen P. , Pintos-Castro Irene , Pović Mirjana , Alfaro Emilio , Beyoro-Amado Zeleke , Cruz-González Irene , de Diego José A. , Martínez Rocío Navarro , Mancillas Brisa , Rodríguez Mónica I. , Valtchanov Iván 
Published: March 2024

Aims. In this paper, we revisit the data for the galaxy cluster ZwCl 0024.0+1652 provided by the GLACE survey and study the mass–metallicity function and its relationship with the environment.
Methods. Here we describe an alternative way to reduce the data from OSIRIS tunable filters. This method gives us better uncertainties in the fluxes of the emission lines and the derived quantities. We present an updated catalogue of cluster galaxies with emission in Hα and [N II] λλ6548,6583. We also discuss the biases of these new fluxes and describe the way in which we calculated the mass–metallicity relationship and its uncertainties.
Results. We generated a new catalogue of 84 emission-line galaxies with reliable fluxes in [N II] and Hα lines from a list of 174 galaxies. We find a relationship between the clustercentric radius and the density of galaxies. We derived the mass–metallicity relationship for ZwCl 0024.0+1652 and compared it with clusters and field galaxies from the literature. We find a difference in the mass–metallicity relationship when compared to more massive clusters, with the latter showing on average higher values of abundance. This could be an effect of the quenching of the star formation, which seems to be more prevalent in low-mass galaxies in more massive clusters. We find little to no difference between ZwCl 0024.0+1652 galaxies and field galaxies located at the same redshift.
Influence of Surgeon's Expertise on the Duration of Approach and Closure during Osteosynthesis of Distal Radius Fractures
Authors: Cafarelli Laurine , Graëff Camille , Lampert Thomas , Padoy Nicolas , Meyer Nicolas , Dabbagh Armaghan , El Amiri Laela , Liverneaux Philippe 
Published: March 2024

Abstract
Background The aim of this study was to determine whether the duration of the approach (PII) and closure (PV) phases for minimally invasive plate osteosynthesis (MIPO) of distal radius fractures varied according to the surgeon's level of expertise. The main hypothesis was that the PII or PV duration was inversely proportional to the level of expertise.
Methods The method measured the duration of PII and PV for 50 videos of MIPO operated by one surgeon with level 3E expertise, three with level 4E, and one with level 5E. The videos were viewed to identify any technical errors.
Results The average PII duration was 3 minutes 8 seconds for level 5E, 4 minutes 7 seconds for 4E, and 6 minutes 19 seconds for 3E. Average PV duration was 2 minutes 12 seconds for level 5E, 2 minutes 36 seconds for 4E, and 2 minutes 41 seconds for 3E. The average duration of PII + PV was 5 minutes 20 seconds for level 5E, 6 minutes 37 seconds for 4E, and 9 minutes for 3E. These findings indicate that both PII and PV duration was the longest in the level 3E surgeons' practice. Six technical errors were identified for levels 3E and 4E during PII (hemostasis control, multiple incisions, instrument handling, improper use of the fluoroscope, time-outs) and PV (intradermal reattachment).
Clinical Relevance The main hypothesis was verified since the duration of PII or PV was inversely proportional to the surgeon's level of expertise. This study identified technical errors in hand surgery practices of new surgeons. By early identification and correcting these minor errors, it would be possible to speed up the learning curve. We recommend surgical videos to be systematically recorded and analyzed to improve hand surgery practices.
Type of Study/Level of Evidence Therapeutic/Level IIIa.
A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities
Authors: Teng Chenmei , Yu Poshan , Liu Liwen 
Published: March 2024

AbstractIn the realm of emergency response, the swift and efficient deployment of mobile units is of paramount importance. This research introduces a strategy centered around the “proximity response” principle, aiming to strategically position emergency services nearer to areas of higher demand. This approach is designed to enhance response times while optimizing resource allocation. Through the integration of practical planning with user-friendly computational methodologies, this paper presents a novel framework for improving the allocation and reach of emergency facilities. This includes extending critical care to broader areas and minimizing operational costs. The simulations conducted demonstrate that this strategy markedly enhances crisis management effectiveness. The paper also includes a statistical analysis that provides substantial evidence of the practicality and efficiency of this approach in real-world emergency scenarios. This study contributes to the field by offering a new perspective on resource distribution and emergency response planning, potentially impacting the way these critical services are organized and deployed.
Understanding the experience of family caregivers of patients with leukemia: a qualitative analysis of online blogs
Authors: Qiu Mengying , Wu Yijin 
Published: March 2024

AbstractAlthough family caregiving is a demanding task, it has the potential to increase the significance and satisfaction of the caregiving process, while also enabling better response to the patient’s condition. This study aims to qualitatively explore, describe and analyze the experiences of family caregivers who are taking care of patients with leukemia. With an inductive thematic analysis, data collected from 997 online blog posts generated by 32 Chinese family caregivers of both adult and pediatric patients with leukemia were thoroughly examined. Through a detailed analysis of the blog posts, three main themes were identified: (1) family caregivers’ (FCGs’) reactions to the leukemia diagnosis, (2) challenges faced in caregiving, and (3) effective coping strategies. The study reveals significant implications for improving the quality of life for family caregivers and enhancing health services for patients with leukemia. Gaining a comprehensive understanding of challenges and hardships faced by FCGs can shed light on enhancing the current medical services. A detailed account of the financial and psychological burdens experienced by FCGs offers valuable insights that can influence the decision-making of healthcare institutions and policymakers, facilitating the implementation of effective medical reforms. The findings underscore the importance of addressing the psycho-social needs of family caregivers, thereby suggesting the need of improved implementation of effective psycho-social support to enhance their overall quality of life. It is recommended that future research focus on developing more socially integrated approaches specifically tailored for family caregivers of patients with leukemia. While this study is primarily exploratory and descriptive, it forms a foundation for further investigation and understanding of the comprehensive family caregiving system for patients with leukemia.
Predictors of social media users’ intention to donate online towards international NGOs in the fake news era
Authors: Obadă Daniel-Rareș , Dabija Dan-Cristian , Câmpian Veronica 
Published: March 2024

AbstractInternational non-governmental organizations (INGOs) operate worldwide to fulfil important needs and issues faced by global communities, but they are highly dependent on donations. Social media facilitates communication with potential donors but exposes them to fake news. This study examines the effect of a set of predictors of social media users’ intention to donate online to international NGOs, using the Theory of Planned Behaviour (TPB) as a conceptual structure. A self-administered online survey was used to collect data from 1629 potential donors to INGOs, and structural equation modelling with SmartPLS 3.0 was employed for assessing the model. The study reveals that social media usage and INGOs’ brand reputation positively impact the sharing of fake news, perceived risks of online donations, attitude towards online donations, and brand image of INGOs. Communication specialists could utilise these insights to boost online donations towards INGOs in the age of misinformation.
Silicon x-ray backlighter improvement by targets with spike-like microstructures
Authors: Ebert Tina , Sander Steffen , Stoeckl Christian , Theobald Wolfgang , Regan Sean P. , Roth Markus 
Published: March 2024

In order to accurately probe high energy density matter states, it is vital to create powerful x-ray backlighters. One approach to create such x-ray sources is based on the usage of short-pulse, high-energy lasers, which greatly benefits from an optimization of the laser target coupling. Here, the spectral and temporal x-ray emission profiles of structured silicon targets with micron-sized spikes on the front surface are studied at laser intensities of 1017 W cm−2. The laser pulse length is varied between 1 and 20 ps with an energy of up to 1 kJ. The structured targets show an up to 13× enhancement of silicon Heα emission compared to flat foils with a well-defined, sharp emission pulse profile. Furthermore, the performance of the microstructured targets is compared to targets with a CH shield as well as foils irradiated with a UV prepulse.
Linear graviton as a quantum particle
Authors: Przanowski Maciej , Dobrski Michał , Tosiek Jaromir , Turrubiates Francisco J 
Published: March 2024

AbstractWave function of a single linear graviton and its interpretation are proposed. The evolution equation for this function is given. A Hermitian operator with mutually commuting components canonically conjugated to the momentum operator of the linear graviton is found. Second quantization of the linear graviton quantum mechanics as well as quantization of the classical free linear graviton field are investigated.
Imagining density distribution of molecular orbitals in IR+XUV co-rotating circular laser fields by frequency-domain theory
Authors: Li Yu-Hong , Jin Facheng , Yang Yujun , Li Fei , Guo Ying-Chun , Wei Zhi-Yi , Chen Jing , Liu Xiaojun , Wang Bingbing 
Published: March 2024

Abstract
We have investigated the angle-resolved ATI spectrum of oriented molecules in the IR+XUV co-rotating circular laser fields. According to the different roles of IR and XUV laser in the ionization process, we purposefully adjust the photon energy of XUV and the intensity of IR laser to make the ionization spectrum of the molecule distributed in a suitable momentum region. Moreover, under the same laser conditions, the background fringes in the ionization spectrum of the molecule can be removed by using the ionization spectrum of the atom with the same ionization energy as the molecule, so that the molecular orbital density distribution in the suitable momentum region can be obtained. That is, for any unknown molecule, as long as the ionization energy of the molecule can be measured, the density distribution of the molecular orbital can be imaged in a definite momentum region by adjusting the laser field conditions, which may shed light on the experimental detection of molecular orbitals.
A molecular dynamics simulation study of thermal transport in hydrazinium cyclo-pentazolate
Authors: Xiong Zhangling , Xu Xiao , Jia Xu 
Published: March 2024

Abstract
Cyclo-pentazolate salts (CPSs) as a new type of high-energy-density materials (HEDMs) with high nitrogen content have attracted considerable research attention. In contrast to the extensive studies on their energy properties, the thermal transport process in CPSs has been less studied which relates closely to the thermal safety of this material. Concerning the hydrazinium cyclo-pentazolate (HCP), we conduct a computational study to estimate the thermal conductivity of HCP by means of the non-equilibrium molecular dynamics (NEMD) simulation. To achieve that, we have customized interaction parameters based on the default OPLS force field for the HCP, as benchmarked by its crystal structure. Our simulations have revealed surprisingly anisotropic thermal conductivity for the HCP, while the thermal conductivity becomes highest roughly in the direction perpendicular to cyclo-N

5
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with its value notably higher than common high explosives. By modulating the interaction parameters within the HCP molecule, we have further captured a dominant role of the interaction between cyclo-N

5
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in regulating the thermal conductivity of the HCP. The attractive Lennard–Jones (LJ) potential may restrict the relative motion between cyclo-N

5
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, which forms a long-range order thus enhances thermal transport in the direction perpendicular to cyclo-N

5
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. Our simulations result on the effect of (cyclo-N

5
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)-(cyclo-N

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) interaction provide insights to engineer thermal transport in CPSs at the molecular level.
Physics mechanisms underlying the optimization of coherent heat transfer across width-modulated nanowaveguides with calculations and machine learning
Authors: Stefanou Antonios-Dimitrios , Zianni Xanthippi 
Published: March 2024

Abstract
Optimization of heat transfer at the nanoscale is necessary for efficient modern technology applications in nanoelectronics, energy conversion, and quantum technologies. In such applications, phonons dominate thermal transport and optimal performance requires minimum phonon conduction. Coherent phonon conduction is minimized by maximum disorder in the aperiodic modulation profile of width-modulated nanowaveguides, according to a physics rule. It is minimized for moderate disorder against physics intuition in composite nanostructures. Such counter behaviors call for a better understanding of the optimization of phonon transport in non-uniform nanostructures. We have explored mechanisms underlying the optimization of width-modulated nanowaveguides with calculations and machine learning, and we report on generic behavior. We show that the distribution of the thermal conductance among the aperiodic width-modulation configurations is controlled by the modulation degree irrespective of choices of constituent material, width-modulation-geometry, and composition constraints. The efficiency of Bayesian optimization is evaluated against increasing temperature and sample size. It is found that it decreases with increasing temperature due to thermal broadening of the thermal conductance distribution. It shows weak dependence on temperature in samples with high discreteness in the distribution spectrum. Our work provides new physics insight and indicates research pathways to optimize heat transfer in non-uniform nanostructures.
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials
Authors: Fan Zheyong , Xiao Yang , Wang Yanzhou , Ying Penghua , Chen Shunda , Dong Haikuan 
Published: March 2024

Abstract
We propose an efficient approach for simultaneous prediction of thermal and electronic transport properties in complex materials. Firstly, a highly efficient machine-learned neuroevolution potential (NEP) is trained using reference data from quantum-mechanical density-functional theory calculations. This trained potential is then applied in large-scale molecular dynamics simulations, enabling the generation of realistic structures and accurate characterization of thermal transport properties. In addition, molecular dynamics simulations of atoms and linear-scaling quantum transport calculations of electrons are coupled to account for the electron-phonon scattering and other disorders that affect the charge carriers governing the electronic transport properties. We demonstrate the usefulness of this unified approach by studying electronic transport in pristine graphene and thermoelectric transport properties of a graphene antidot lattice, with a general-purpose NEP developed for carbon systems based on an extensive dataset.
Determining the swarm parameters of gases considering ion kinetics by parallel genetic algorithm on GPU platform
Authors: Hao Mai , Zhang Boya , Li Xingwen , Liu Peiqiong , Yao Yuyang , Murphy Anthony B 
Published: March 2024

Abstract
In this work, a convenient and efficient method is proposed to determine swarm parameters considering ion kinetics from pulsed Townsend (PT) measurements. First, a physical model was presented to describe the development of PT discharge considering electron detachment and ion conversion reactions. A numerical solution to the model was also proposed. In order to assess the precision of our calculations, we presented the calculated electronic and ionic transients derived from our model for different cases. Then, a genetic algorithm (GA) was proposed to find a set of swarm parameters, under which the deviation between the simulated current waveform and the actual measured current waveform is minimum. It is time-consuming to simulate a single waveform, and since a large number of waveforms need to be simulated in the GA, graphic processing unit-based parallel computing is used to improve computing efficiency. Finally, the swarm parameters of dry air considering electron detachment and ion conversion processes using the method were obtained and they are in good agreement with those in references.