bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sequencing‐Dependent Impact of Carbon Coating on Microstructure Evolution and Electrochemical Performance of Pre‐lithiated SiO Anodes: Enhanced Efficiency and Stability via Pre‐Coating Strategy
Authors: Yi Si , Yan Zhilin , Xiao Yiming , Wang Zhen , Ye Cuicui , Zhang Jingwen , Qiu Huangjie , Ning Pengpeng , Yang Deren , Du Ning 
Published: August 2024

AbstractSilicon monoxide (SiO) has attracted considerable interest as anode material for lithium‐ion batteries (LIBs). However, their poor initial Coulombic efficiency (ICE) and conductivity limit large‐scale applications. Prelithiation and carbon‐coating are common and effective strategies in industry for enhancing the electrochemical performance of SiO. However, the involved heat‐treatment processes inevitably lead to coarsening of active silicon phases, posing a significant challenge in industrial applications. Herein, the differences in microstructures and electrochemical performances between prelithiated SiO with a pre‐coated carbon layer (SiO@C@PLi) and SiO subjected to carbon‐coating after prelithiation (SiO@PLi@C) are investigated. A preliminary carbon layer on the surface of SiO before prelithiation is found that can suppress active Si phase coarsening effectively and regulate the post‐prelithiation phase content. The strategic optimization of the sequence where prelithiation and carbon‐coating processes of SiO exert a critical influence on its regulation of microstructure and electrochemical performances. As a result, SiO@C@PLi exhibits a higher ICE of 88.0%, better cycling performance and lower electrode expansion than SiO@PLi@C. The pouch‐type full‐cell tests demonstrate that SiO@C@PLi/Graphite||NCM811 delivers a superior capacity retention of 91% after 500 cycles. This work provides invaluable insights into industrial productions of SiO anodes through optimizing the microstructure of SiO in prelithiation and carbon‐coating processes.
Crack‐Resistant Si‐C Hybrid Microspheres for High‐Performance Lithium‐Ion Battery Anodes
Authors: Shen Liao , Wang Pengcheng , Fang Chenxi , Lin Zhongfeiyu , Zhao Guiying , Li Shaoyuan , Lin Yingbin , Huang Zhigao , Li Jiaxin 
Published: August 2024

AbstractTo effectively solve the challenges of rapid capacity decay and electrode crushing of silicon‐carbon (Si‐C) anodes, it is crucial to carefully optimize the structure of Si‐C active materials and enhance their electron/ion transport dynamic in the electrode. Herein, a unique hybrid structure microsphere of Si/C/CNTs/Cu with surface wrinkles is prepared through a simple ultrasonic atomization pyrolysis and calcination method. Low‐cost nanoscale Si waste is embedded into the pyrolysis carbon matrix, cleverly combined with the flexible electrical conductivity carbon nanotubes (CNTs) and copper (Cu) particles, enhancing both the crack resistance and transport kinetics of the entire electrode material. Remarkably, as a lithium‐ion battery anode, the fabricated Si/C/CNTs/Cu electrode exhibits stable cycling for up to 2300 cycles even at a current of 2.0 A g−1, retaining a capacity of ≈700 mAh g−1, with a retention rate of 100% compared to the cycling started at a current of 2.0 A g−1. Additionally, when paired with an NCM523 cathode, the full cell exhibits a capacity of 135 mAh g−1 after 100 cycles at 1.0 C. Therefore, this synthesis strategy provides insights into the design of long‐life, practical anode electrode materials with micro/nano‐spherical hybrid structures.
Promoting social justice through dramatizing children's literature: Lessons from EFL classrooms in Türkiye
Authors: Yılmaz Adnan , Hart Deniz Ortaçtepe , Sönmez Necati 
Published: August 2024

AbstractSocial justice language education (SJLE) explores the ways in which language classrooms can be transformed to disrupt the existing oppressive policies and practices in schools and the society at large (Ortaçtepe Hart & Martel, 2020; Ortaçtepe Hart, 2023; Ortega, 2021). As an approach within SJLE, dramatizing children's literature can raise the awareness of learners of English as a foreign language (EFL) of social injustices across the world, help them voice their own experiences in the class, and contribute to their language development (Caldas, 2018; García‐Mateus, 2021; Gualdron & Castillo, 2018; Koss & Daniel, 2018). Focusing on the intersections of drama, children's literature, and SJLE, this qualitative case study explored a) a preservice EFL teacher's trajectory as a social justice educator, and b) the affordances of dramatizing children's literature on developing young learners' English language skills and awareness of social justice issues. Three picture storybooks, Paper Bag Princess, William's Doll, and Amazing Grace, were chosen and scripted for drama. Data were elicited through preservice teachers' observation notes and reflections as well as through semi‐structured interviews with students. The results showed that dramatizing children's literature helped EFL young learners challenge their stereotypical beliefs regarding gender roles, gender inequalities, and racism. It also fostered their language development, especially in pronunciation (e.g., producing sounds), speaking (e.g., pitch and melody), and vocabulary by creating an entertaining and safe environment in which they could engage in contextualized language use. The study provides pedagogical implications in relation to how dramatizing children's literature can help disrupt social and educational injustices, transform students' stereotypical beliefs and biases, and promote empathy and critical awareness at large.
Determinants of parcel locker adoption for last‐mile deliveries in urban and suburban areas
Authors: Encarnación Trilce , Amaya Johanna 
Published: August 2024

AbstractThis study investigates the factors influencing consumers' adoption of parcel lockers for last‐mile deliveries. Attitudinal data on parcel locker adoption were collected from individuals in the United States, and structural equation models were estimated to assess consumers' intention to use the lockers as a delivery method. The study is grounded in the Technology Acceptance Model, evaluating perceived ease of use, usefulness, risks, and location preferences. Consumer attitudes indicate that parcel lockers are perceived as easy to use and useful, offering efficient and fast delivery times. Moreover, consumers generally regard these facilities as safe. However, perceived risks include concerns about privacy and the potential loss of packages. The results show that urban residents are less likely to use parcel lockers than suburban residents. Additionally, consumers show a preference for parcel lockers located near their workplaces. The modeling results provide critical implications for service providers, highlighting the features that users value when considering this delivery alternative, thereby aiding in evaluating potential parcel locker implementations.
Predictive capacity of fetal pancreatic circumference for gestational diabetes mellitus
Authors: Gilboa Y. , Geron Y. , Perlman S. , Drukker L. , Ofir K. , Ellert A. , Bardin R. , Achiron R. , Kivilevitch Z. 
Published: August 2024

ABSTRACTObjectiveTo assess the capacity of fetal pancreatic size, before standard blood glucose testing for screening and diagnosis, to predict maternal gestational diabetes mellitus (GDM).MethodsThis was a retrospective cohort study of low‐risk pregnant women recruited during routine second‐trimester fetal anatomical screening at 20–25 weeks' gestation at two ultrasound units in Israel between 2017 and 2020. The predictive performance of fetal pancreatic circumference ≥ 80th and ≥ 90th centiles and glucose challenge test (GCT) was examined for the outcome of GDM. The independent‐samples t‐test was used to compare mean pancreatic circumference centile between pregnancies with GDM and those without GDM. Diagnostic performance was evaluated with 2 × 2 contingency tables and receiver‐operating‐characteristics (ROC) curves.ResultsOverall, 195 women were selected for statistical analysis. Twenty‐four (12.3%) women were diagnosed subsequently with GDM. The mean ± SD fetal pancreatic circumference centile was significantly higher in the GDM group compared with the non‐GDM group (82.4 ± 14.6 vs 62.8 ± 27.6; P < 0.001). The pancreatic circumference centile was correlated positively with the estimated fetal weight centile (Pearson's coefficient, 0.243; P = 0.001). The 80th centile cut‐off for pancreatic circumference had the highest sensitivity (70.8%) and positive predictive value (23.3%) for future maternal GDM, with the best trade‐off between sensitivity and specificity achieved at the 75th centile cut‐off (sensitivity, 79%; specificity, 60%). The GCT had better specificity (90.2%) and negative predictive value (97.9%) compared with both cut‐offs in pancreatic circumference. The area under the ROC curve was higher for pancreatic circumference compared with GCT (0.71 vs 0.64) and only the former was statistically significant (P = 0.001).ConclusionsFetal pancreatic circumference has a higher positive predictive capacity compared with GCT. Measuring pancreatic circumference can identify pregnancies at high risk for maternal GDM, thereby promoting earlier diagnosis and treatment, decreasing the time period during which the fetus is exposed to high maternal glucose levels and improving infant outcome. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Financing and Distributing Television Drama: Economic Networks
Authors: Krauß Florian 
Published: August 2024

AbstractThis chapter follows on from Chapter 4’s overview of current broadcasters and platforms by first explaining the networks they form to finance and distribute series. The second part goes into more detail on approaches to transnational co-productionand co-financing, which have gained new momentum within Europe since the 2010s, but which practitioners also regard as a challenge for screenwriting and storytelling. This chapter also deals with opportunities and challenges by taking a closer look at the economic interplay between the commissioning broadcaster or platform and the production company. Due to the increasing number of distributors, the relationships between the two sides and the ways of financing and initiating television drama have changed. Increasingly, practitioners are calling into question the model of “100 percent financing by broadcaster”, which has dominated for years, and they are likewise beginning to scrutinise the associated “total buyout” model, where the broadcaster receives all rights from the production company and the lead creatives. New economic practices point towards an expanded agency of the production company and certain key creatives. In some cases, however, tendencies towards the studio model can be observed, when commissioners take over large parts of the production in addition to distribution.
State of the Art of Factors Affecting Times of Ships in Container Ports: Characteristics Identification of Port Generations
Authors: Russo Francesco , Musolino Giuseppe 
Published: August 2024

AbstractSeveral classifications of ports were proposed in the literature, but there is no single established or accepted framework or taxonomy due to the complexity and diversity of the port entities. UNCTAD introduced a classification based on the definition of port-generation, according to which a prevalent port’s characteristics could be associated to each port, the so-called generation. UNCTAD fully defined the characteristics of three generations of ports, while the fourth-generation of ports was less specified. Later, several researchers criticized the definition of port-generation and proposed new elements of classification, mainly of qualitative nature. Today five generations of ports may be identified. The paper proposes a set of characteristics to identify each port-generation. Several ports were object, in the time, of a process of hybridization. They were born with specific characteristics and, later, they evolved in acquiring new ones. The paper de-build the hybridization offering the possibility to identify the operative single generation. The paper introduces a set of material and immaterial characteristics to identify the port generation and then the correct tools to support planning and evaluation activities.
Deep Migration Learning-Based Detection of Structural Diseases in Railway Tunnel Lining Structures
Authors: Wei Zheng , Zhou Jianqiang , Wang Kexin , Hu Xiaowen 
Published: August 2024

AbstractIt is difficult to quickly and accurately detect defects such as voids, voids, and non compactness in the lining structure of formed railway tunnels. We have conducted in-depth research on the propagation law of ground penetrating radar electromagnetic waves in tunnel lining structures and intelligent detection methods based on deep learning. The finite difference method was applied to numerically simulate the propagation process of electromagnetic waves in tunnel lining structures with different diseases. B-scan radar images were obtained, and the characteristics of voids, voids, and non dense images were summarized. On this basis, a sample library composed of numerical simulation and real radar images was established, and a deep migration method for detecting railway tunnel lining structural defects was proposed. Automatically learning complex disease features and updating network model parameters overcomes the limitations of limited real disease sample sets for tunnel lining structures. The experimental results show that the network after transfer learning can accurately detect defect bodies in actual tunnel lining structures, verifying the effectiveness and feasibility of the proposed method.
Electrochemical Corrosion Study of 20MnTiB High Strength Bolt Under the Simulation of Humid Climate in Chongqing
Authors: Wen Juan , Gao Xianping , Deng Yuehua , Zhang Fanglin 
Published: August 2024

AbstractHigh strength bolts for steel structure bridges have been used in humid environment for a long time, and are prone to corrosion and failure under the combined action of corrosion environment and load. The electrochemical corrosion performance of 20MnTiB high strength bolt was studied by simulating the humid climate in Chongqing. The results were shown that under the same condition, the corrosion resistance was increased both with the increase of pH and the increase of corrosion time. According to the EDS and XRD results, after immersion at different pH values for 168 h, the main corrosion products are Fe2O3, Fe3O4 and FeOOH. All the results demonstrated that after immersion at different pH values for 168 h, the sample corrosion resistance was improved, and was significantly increased with the increase of pH value, which is closely related to the corrosion product film on the sample surface.
Study on the Axial Hysteresis Performance of X Node Reinforced by Upward Grooved Ring Plate
Authors: Xia Junwu , Meng Lingyuan , Zhou Chunbo , Yang Nianxu , Xu Hang 
Published: August 2024

AbstractTo address the challenge of being unable to observe damage in the main branch area with the existing reinforcement method, a new method of relocating the slotted ring flange was proposed. Through full-scale axial reciprocating loading tests, a comparative analysis of two damage modes, the ring flange corner plate and the slotted ring flange relocation reinforcement, was conducted. The study also investigated the axial hysteresis performance of the slotted ring flange's X-shaped nodes.
Non-perturbative renormalisation and improvement of non-singlet tensor currents in Nf = 3 QCD
Authors: Chimirri Leonardo , Fritzsch Patrick , Heitger Jochen , Joswig Fabian , Panero Marco , Pena Carlos , Preti David 
Published: August 2024

Abstract
Hadronic matrix elements involving tensor currents play an important rôle in decays that allow to probe the consistency of the Standard Model via precision lattice QCD calculations. The non-singlet tensor current is a scale-dependent (anomalous) quantity. We fully resolve its renormalisation group (RG) running in the continuum by carrying out a recursive finite-size scaling technique. In this way ambiguities due to a perturbative RG running and matching to lattice data at low energies are eliminated. We provide the total renormalisation factor at a hadronic scale of 233 MeV, which converts the bare current into its RG-invariant form.Our calculation features three flavours of O(a) improved Wilson fermions and tree-level Symanzik-improved gauge action. We employ the (massless) Schrödinger functional renormalisation scheme throughout and present the first non-perturbative determination of the Symanzik counterterm cT derived from an axial Ward identity. We elaborate on various details of our calculations, including two different renormalisation conditions.
One-loop five-parton amplitudes in the NMRK limit
Authors: Byrne Emmet P. 
Published: August 2024

Abstract
We analyse the real part of one-loop five-parton amplitudes in the next-to-multi-Regge kinematic (NMRK) limit, to leading power, and to finite order in the dimensional regularisation parameter. To leading logarithmic (LL) accuracy, it is known that five-parton amplitudes in this limit are given to all-orders by a single factorised expression, in which the pair of partons which are not well-separated in rapidity are described by a two-parton emission vertex. In this study, we investigate the one-loop amplitudes at next-to-leading logarithmic (NLL) accuracy, and find that is has a more complex structure. In particular, it is found that the purely gluonic amplitudes are compatible with an analogous factorisation of individual colour structures. From the one-loop amplitudes we extract one-loop two-parton emission vertices, which are functions of a subset of the momenta of the amplitude. In the multi-Regge kinematic (MRK) limit, the vertices themselves factorise into the known one-loop single-parton emission vertices and Lipatov vertex, with rapidity dependence governed by the one-loop gluon Regge trajectory, as required by compatibility with the known MRK limit of amplitudes. The one-loop two-parton emission vertices are necessary ingredients for the construction of the next-to-next-to leading order (NNLO) jet impact factors in the BFKL framework.
Fourier feature network for 3D vessel reconstruction from biplane angiograms
Authors: Wu Sean , Kaneko Naoki , Liebeskind David S. , Scalzo Fabien 
Published: August 2024

Abstract3D reconstruction of biplane cerebral angiograms remains a challenging, unsolved research problem due to the loss of depth information and the unknown pixelwise correlation between input images. The occlusions arising from only two views complicate the reconstruction of fine vessel details and the simultaneous addressing of inherent missing information. In this paper, we take an incremental step toward solving this problem by reconstructing the corresponding 2D slice of the cerebral angiogram using biplane 1D image data. We developed a coordinate-based neural network that encodes the 1D image data along with a deterministic Fourier feature mapping from a given input point, resulting in a slice reconstruction that is more spatially accurate. Using only one 1D row of biplane image data, our Fourier feature network reconstructed the corresponding volume slices with a peak signal-to-noise ratio (PSNR) of 26.32 ± 0.36, a structural similarity index measure (SSIM) of 61.38 ± 1.79, a mean squared error (MSE) of 0.0023 ± 0.0002, and a mean absolute error (MAE) of 0.0364 ± 0.0029. Our research has implications for future work aimed at improving backprojection-based reconstruction by first examining individual slices from 1D information as a prerequisite.
Accelerating breast MRI acquisition with generative AI models
Authors: Okolie Augustine , Dirrichs Timm , Huck Luisa Charlotte , Nebelung Sven , Arasteh Soroosh Tayebi , Nolte Teresa , Han Tianyu , Kuhl Christiane Katharina , Truhn Daniel 
Published: August 2024

Abstract

Objectives
To investigate the use of the score-based diffusion model to accelerate breast MRI reconstruction.

Materials and methods
We trained a score-based model on 9549 MRI examinations of the female breast and employed it to reconstruct undersampled MRI images with undersampling factors of 2, 5, and 20. Images were evaluated by two experienced radiologists who rated the images based on their overall quality and diagnostic value on an independent test set of 100 additional MRI examinations.

Results
The score-based model produces MRI images of high quality and diagnostic value. Both T1- and T2-weighted MRI images could be reconstructed to a high degree of accuracy. Two radiologists rated the images as almost indistinguishable from the original images (rating 4 or 5 on a scale of 5) in 100% (radiologist 1) and 99% (radiologist 2) of cases when the acceleration factor was 2. This fraction dropped to 88% and 70% for an acceleration factor of 5 and to 5% and 21% with an extreme acceleration factor of 20.

Conclusion
Score-based models can reconstruct MRI images at high fidelity, even at comparatively high acceleration factors, but further work on a larger scale of images is needed to ensure that diagnostic quality holds.

Clinical relevance statement
The number of MRI examinations of the breast is expected to rise with MRI screening recommended for women with dense breasts. Accelerated image acquisition methods can help in making this examination more accessible.

Key Points

Accelerating breast MRI reconstruction remains a significant challenge in clinical settings.

Score-based diffusion models can achieve near-perfect reconstruction for moderate undersampling factors.

Faster breast MRI scans with maintained image quality could revolutionize clinic workflows and patient experience.
Pubic bone osteomyelitis and fistulas after radiation therapy of the pelvic region: patient-reported outcomes and urological management of a rare but serious complication
Authors: Walach Margarete Teresa , Tavakoli Anoshirwan Andrej , Thater Greta , Kriegmair Maximilian Christian , Michel Maurice Stephan , Rassweiler-Seyfried Marie-Claire 
Published: August 2024

Abstract
Purpose
This study investigated late urinary adverse events (UAEs) in patients who underwent pelvic radiation therapy, with a focus on occurrence, diagnostic characteristics and the impact of subsequent extirpative surgery with the need of urinary diversion on quality of life.

Methods
A retrospective analysis of 20 patients after pelvic radiotherapy (2016–2022) was conducted. Data included demographics, perioperative details, oncological parameters, and patient-reported outcomes. Imaging (CT, MRI) was examined for early manifestations of late UAEs.

Results
In the study cohort, prostate cancer was the primary malignancy in 85% with a mean radiation dose of 84 Gray over 35 days. Time to diagnosis of late UAEs was 4.0 years post-radiation. Radiological assessment demonstrated a progressive increase in typical CT and MRI features of pubic bone osteomyelitis over time. Surgical interventions, mainly cystectomy, were required with variable outcomes in patient-reported post-surgery quality of life.

Conclusion
Diagnosing and managing late UAEs after pelvic radiation necessitate an understanding of their occurrence, diagnostic features and appropriate management strategies. Early imaging, particularly MRI, is crucial for timely diagnosis and treatment planning. Variable post-surgery quality of life underscores the importance of a multidisciplinary approach in managing late UAEs. The study contributes to understanding these complications and emphasizes their consideration in post-radiation follow-up care.