bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Time-Lapse between Intermediate Restoration and Final Restoration on Survival Rate and Changing of Radiographic Periapical Lesion
Authors: Aguilar Panuroot , Hong Tanison , Tangthong Pantharee , Phuvoravan Chalermkwan , Pinchamnankool Kriangkrai , Phumpatrakom Panupat 
Published: November 2024

Abstract
Objective This study aimed to assess the impact of intermediate restoration time-lapse on the survival rate and changes in radiographic periapical lesions of endodontically treated teeth.
Materials and Methods The included treatment records and periapical films of 62 patients were divided into two groups based on the time-lapse of intermediate restoration: within 4 months group (≤4 m group) and more than 4 months group (>4 m group).
Statistical Analysis Survival analysis was conducted using Kaplan–Meier and log-rank test. The predictive clinical factors were assessed using a Cox regression model and hazard ratio, considering both clinical and radiographic outcomes from the latest recall appointment. Changes in periapical index (PAI) scores on radiographs were evaluated using the Chi-square test. Statistical significance was set at p < 0.05.
Results The mean survival rate of endodontically treated teeth was 77.4%. The survival rates of the ≤4 m group and >4 m group were 83.3 and 69.2%, respectively, without statistical significance. None of the clinical factors significantly affected the clinical outcome. However, the >4 m group exhibited significantly worse changes in PAI scores between the final restoration appointment and the latest recall.
Conclusion Different time-lapses for intermediate restoration did not significantly affect the survival rate. However, an intermediate restoration time-lapse of more than 4 months tended to result in worse changes in PAI scores.
Lingual Orthodontic Retreatment of an Adult Patient with Protruded Lips and a Missing Lower Incisor: A Case Report
Authors: Nguyen Viet Anh , Pham Thi Hanh , Nguyen Thuy Anh 
Published: November 2024

AbstractOrthodontic retreatment in adult patients presents unique challenges and considerations. Previous dental intervention or even missing teeth may influence treatment planning and pose challenges for bracket bonding.A 23-year-old female patient sought orthodontic retreatment to address her chief complaint of upper lip protrusion. She had previously completed fixed labial orthodontic treatment involving the extraction of a lower central incisor.The diagnosis was a skeletal maxillary protrusion and mandibular dentoalveolar protrusion on dental class I and skeletal class II relationships.A nonsurgical camouflage treatment option was chosen, which involved the removal of the upper first premolars and lower right first premolar. The lower left canine, lateral, and central incisor were substituted with the lower left first premolar, canine, and lateral incisor, respectively. Lingual self-ligating brackets, straight archwires, and temporary anchorage devices were utilized. The treatment was completed after 32 months with an improved facial profile and a stable occlusion.This case report demonstrates the successful retreatment of an adult patient with lip protrusion and relapse of lower arch crowding using straight-wire lingual appliances and premolar extractions. This approach achieved optimal aesthetics and a stable occlusion, highlighting the effectiveness of lingual appliances in complex adult retreatment cases.
Endoscopic Septostomy for Treatment of Complex Hydrocephalus: A Single Center Retrospective Cohort
Authors: Perondi Gerson Evandro , Basso Luciano Silveira , Shuha Deborah Lumi , Lindner Rafaela Jucá , Rohde Marcelo Anchieta 
Published: November 2024

Abstract
Objective The objective was to present the initial experience with endoscopic septostomy in a Brazilian public hospital.
Methods A retrospective analysis was conducted on patients who underwent neuroendoscopic septostomy at the Department of Neurosurgery of Cristo Redentor Hospital in Porto Alegre from 2015 to 2021.
Results In the period analyzed, 14 patients underwent endoscopic septostomy. The mean age of the patients was 41.86 years; 11 were male and 3 were female. The etiologies of hydrocephalus included ventricular inflammatory conditions, neoplasms, neurocysticercosis, and intraventricular cysts. Following septostomy, 64% of the patients exhibited clinical and radiological improvement. Complications occurred in 29% of the cases, including intraventricular hemorrhage and thalamic contusion. Four deaths were observed, all related to clinical complications or progression of the underlying disease.
Conclusion Endoscopic septostomy is an effective and safe procedure for treating complex hydrocephalus of different etiologies. Surgical outcomes are related to the learning curve with neuroendoscopy, and the benefits for patients are evident, considering the possibility of safely and effectively performing simultaneous endoscopic procedures with septostomy.
Designing effective policy to achieve sustainable development impact of FDI: the case of Sub-Saharan Africa
Authors: Olabisi Nafisat , Wei Yingqi 
Published: November 2024

Abstract
To optimize the sustainable development impact of foreign direct investment (FDI), developing countries must attract FDI that aligns with sustainable development characteristics. This necessitates an understanding of host governments’ expectations and the design of policies tailored to these needs. This study aims to address the gap in international business policy research by assessing FDI policy designs and identifying conditions that influence their effectiveness in attaining sustainable development outcomes. Building on a policy design fit model, we develop propositions related to the coherence of policy goals (goal coherence), the consistency of policy means (mean consistency), and the congruence between goals and means. Using crisp-set qualitative comparative analysis, we evaluate FDI policies in selected Sub-Saharan African countries. Contrary to conventional expectations, our findings reveal that while the combination of goal coherence, mean consistency, and congruence between goals and means is typically considered pertinent for policy design effectiveness, goal coherence alone is sufficient to attain FDI policy design effectiveness in the sampled countries. These results suggest that policymakers should prioritize clear, coherent goals in FDI policies to enhance sustainable development impact, potentially reducing the need for overly complex policy designs. This has implications for the formulation of future FDI strategies in similar contexts.
Calibration of MAJIS (Moons and Jupiter Imaging Spectrometer). IV. Radiometric calibration (invited)
Authors: Langevin Y. , Poulet F. , Piccioni G. , Filacchione G. , Dumesnil C. , Tosi F. , Carter J. , Barbis A. , Haffoud P. , Tommasi L. , Vincendon M. , De Angelis S. , Guerri I. , Pilorget C. , Rodriguez S. , Stefani S. , Bolsée D. , Cisneros M. , Van Laeken L. , Pereira N. , Carapelle A. 
Published: November 2024

The MAJIS (Moons and Jupiter Imaging Spectrometer) instrument is an imaging spectrometer on-board the JUICE (JUpiter ICy moons Explorer) spacecraft. MAJIS covers the spectral range from 0.5 to 5.54 μm with two channels [visible–near infrared (VISNIR) and IR]. A comprehensive campaign of on-ground MAJIS calibration was conducted in August and September 2021 in the IAS (Institut d’Astrophysique Spatiale, CNRS/Université Paris-Saclay) facilities. In this article, we present the results relevant for the radiometric calibration of MAJIS. Due to the specific characteristics of the MAJIS detectors (H1RG from Teledyne), an extensive detector characterization campaign was implemented for both the VISNIR and IR detectors before integration so as to validate readout procedures providing precision and accuracy. The characterization also provided critical information on linearity and operability as a function of the integration time and operating temperature. The radiometric calibration of the integrated MAJIS instrument focused on the determination of the instrument transfer function in terms of DN output per unit of radiance for each MAJIS data element as a function of its position in the field of view of MAJIS and its central wavelength. The radiometric calibration of the VISNIR channel required a specific procedure due to stray light at short wavelengths. Observations of an internal calibration source during calibration and after launch (April 14, 2023) showed that there were minor changes in both the VISNIR and IR channels. The instrument transfer functions to be used in flight have been updated on this basis.
Perturbative analysis of the coherent state transformation in ab initio cavity quantum electrodynamics
Authors: Roden Peyton , Foley Jonathan J. 
Published: November 2024

Experimental demonstrations of modified chemical structure and reactivity under strong light–matter coupling have spurred theoretical and computational efforts to uncover underlying mechanisms. Ab initio cavity quantum electrodynamics (QED) combines quantum chemistry with cavity QED to investigate these phenomena in detail. Unitary transformations of ab initio cavity QED Hamiltonians have been used to make them more computationally tractable. We analyze one such transformation, the coherent state transformation, using perturbation theory. Applying perturbation theory up to third order for ground state energies and potential energy surfaces of several molecular systems under electronic strong coupling, we show that the coherent state transformation yields better agreement with exact ground state energies. We examine one specific case using perturbation theory up to ninth order and find that coherent state transformation performs better up to fifth order but converges more slowly to the exact ground state energy at higher orders. In addition, we apply perturbation theory up to second order for cavity mode states under bilinear coupling, elucidating how the coherent state transformation accelerates the convergence of the photonic subspace toward the complete basis limit and renders molecular ion energies origin invariant. These findings contribute valuable insights into computational advantages of the coherent state transformation in the context of ab initio cavity quantum electrodynamics methods.
The role of conduction band electrons in promoting O2 adsorption to silicon interfaces
Authors: McNally Marshall T. , Pineda Agustin A. , Walker Robert A. 
Published: November 2024

Resonance enhanced Second Harmonic Generation (SHG) was employed to assess if conduction band electrons in silicon (Si) will promote molecular adsorption of ambient species and how such adsorption depends on temperature. Experiments were performed with three types of Si (n-doped or n-Si, p-doped or p-Si, and undoped Si) at temperatures between 18 and 260 °C and under atmospheres of dry N2 and dry (cylinder) air. All Si types were covered with a 2–4 nm thick native oxide layer. Under N2, all Si types behave similarly, with SHG intensity [I(2ω)] diminishing with increasing temperature. This effect was reversible and attributed to electron–phonon scattering. In the presence of O2, I(2ω) from n-Si at room temperature is enhanced significantly. Neither p-doped Silicon (p-Si) nor undoped Si show similar effects at room temperature, with I(2ω) being independent of gas phase composition. At temperatures ≥175 °C, all three Si types behaved similarly with no dependence on atmospheric O2 content. Varying the amount of O2 above n-Si at room temperature and measuring I(2ω) suggested that O2 adsorption to n-Si could be described with a Langmuir isotherm and an adsorption energy of −0.13 ± 0.05 eV. Increasing n-Si’s oxide thickness (to 600 nm) rendered the substrate insensitive to ambient gas phase composition. Taken together, these findings support a description of Si’s surface electronic structure that is controlled by n-Si conduction band electrons backbonding into the π* orbitals of adjacent O2 and imply that these conduction band electrons can affect adsorption despite the presence of a native oxide film.
Realistic binary neutron star initial data with Elliptica
Authors: Rashti Alireza , Noe Andrew 
Published: November 2024

Abstract
This work introduces the Elliptica pseudo-spectral code for generating initial data of binary neutron star systems. Building upon the recent Elliptica code update, we can now construct initial data using not only piecewise polytropic equations of state, but also tabulated equations of state for these binary systems. Furthermore, the code allows us to endow neutron stars within the binary system with spins. These spins can have a magnitude close to the mass shedding limit and can point in any direction.
A strategy for achieving optimisation of radiological protection in digital radiology proposed by ICRP
Authors: Martin Colin J , Kortesniemi Mika K , Sutton David G , Applegate Kimberly , Vassileva Jenia 
Published: November 2024

Abstract
Radiology is now predominantly a digital medium and this has extended the flexibility, efficiency and application of medical imaging. Achieving the full benefit of digital radiology requires images to be of sufficient quality to make a reliable diagnosis for each patient, while minimising risks from radiation exposure, and so involves a careful balance between competing objectives. When an optimisation programme is undertaken, a knowledge of patient doses from surveys can be valuable in identifying areas needing attention. However, any dose reduction measures must not degrade image quality to the extent that it is inadequate for the clinical purpose. The move to digital imaging has enabled versatile image acquisition and presentation, including multi-modality display and quantitative assessment, with post-processing options that adjust for optimal viewing. This means that the appearance of an image is unlikely to give any indication when the dose is higher than necessary. Moreover, options to improve performance of imaging equipment add to its complexity, so operators require extensive training to be able to achieve this. Optimisation is a continuous rather than single stage process that requires regular monitoring, review, and analysis of performance feeding into improvement and development of imaging protocols. The ICRP is in the process of publishing two reports about optimisation in digital radiology. The first report sets out components needed to ensure that a radiology service can carry optimisation through. It describes how imaging professionals should work together as a team and explains the benefits of having appropriate methodologies to monitor performance, together with the knowledge and expertise required to use them effectively. It emphasises the need for development of organisational processes that ensure tasks are carried out. The second ICRP report deals with practical requirements for optimisation of different digital radiology modalities, and builds on information provided in earlier modality specific ICRP publications.
Enhancement of cyclic spectral coherence map by statistical testing approach—application to bearing faults diagnosis in electric motors
Authors: Michalak Anna , Hebda-Sobkowicz Justyna , Wodecki Jacek , Szabat Krzysztof , Wolkiewicz Marcin , Weisse Sebastien , Valire Jerome , Zimroz Radosław , Wyłomańska Agnieszka 
Published: November 2024

Abstract
Efficiency of fault detection in rolling element bearings is heavily influenced by the quality of data. In controlled environments, such as test rigs designed for bearing diagnostics, data quality is relatively good. Similarly, diagnosing bearings that support shafts in industrial machinery is relatively straightforward. However, diagnosing bearings in electric motors presents greater complexity due to the influence of additional cyclic components on vibration signals. These extra components, originating from mechanical or electrical sources, complicate frequency-based analysis. This paper proposes a novel approach for diagnosing bearings in electric motors, utilizing statistical analysis within the bi-frequency domain through a cyclostationary framework. The method involves applying a statistical testing procedure to individual pixels on the cyclic spectral coherence (CSC) map. The statistical significance of these pixels is assessed based on quantiles of CSC maps obtained from a dataset representing a healthy bearing. This process results in an enhanced or cleaned CSC map, facilitating the identification of fault-related components. Consequently, this approach enables the detection of defects in electric motor bearings, even when additional signal components unrelated to the defect, but characteristic of a healthy bearing, are present.
A novel TCN-GRU based open set method for unknown damage diagnosis
Authors: Li Zhiyong , Wang Zhiyong , Wang Jinrui , Han Shanling 
Published: November 2024

Abstract
In the aerospace and high-speed rail industries, carbon fiber reinforced polymer (CFRP) has seen widespread application. CFRP plates and connectors in operation are often subjected to impacts that can cause damage. The unpredictable nature of the impacts introduces uncertainties in both the location and extent of the damage, posing significant challenges to traditional supervised learning models, which often struggle with missed detections or misclassifications when identifying unknown damages. To address the issue, a deep learning model based on temporal convolutional network-gated recurrent unit (TCN-GRU) is proposed. TCN extracts features from the raw time domain signals, and GRU selectively retains the significant features and completes sequence modeling. A center loss function is incorporated into the fully connected layer to improve the effects of intra-class aggregation and inter-class separation. An unknown detection module is introduced to realize the identification and classification of unknown damages based on a predefined threshold. The experimental results indicate that the proposed method can achieve effective unknown damage diagnosis in the open set case. This study provides a feasible solution for open set unknown damage diagnosis in CFRP plates and connectors.
A sEMG-based gesture recognition framework for cross-time tasks
Authors: Zhang Xingguo , Li Tengfei , Zhang Yue , Sun Maoxun , Zhang Cheng , Zhou Jie 
Published: November 2024

Abstract
In the practical application of action pattern recognition based on surface electromyography (sEMG) signals, the electrode displacement and the time-varying characteristics of the signals during cross-time signal acquisition can reduce the classification accuracy. This study designs a 12 d forearm sEMG signal cross-time acquisition experiment, introduces time span into the dataset, and proposes a cross-time gesture recognition framework based on deep convolutional neural networks (CNN) with sEMG signals. In the cross-validation of single-day analysis, recognition rates using multiple CNN modules exceed 90%. However, the average recognition rate for cross-day analysis is only 59.0%. The classification performance of the framework is significantly improved in the multi-day analysis by gradually increasing the number of training days. In particular, 97.4% accuracy is achieved in the cross-time recognition task by using a specific configuration of DenseNet as the network module and extracting features with one-dimensional (1D) convolution on signal fragments. Compared to the method of extracting short-time Fourier transform image features as input using two-dimensional convolution, the training method of extracting signal features using 1D convolution reduces the time consumed to about 1%, which is advantageous in terms of model performance.
Ignition mechanism of a dual trigger electrode hollow cathode
Authors: Luo Zihao , Zhang Guangchuan , Hao Guanghui , Zhang Zhongkai , Tianlang Yi , Ren Junxue , Wang Yibai , Zhang Zun , Wang Weizong , Tang Haibin 
Published: November 2024

Abstract
Hollow cathodes serve as the electron source for thrusters and are critical elements of the electric propulsion system. To overcome the limitations of the small orifice blockage in the discharge path of the conventional hollow cathode on the ignition performance, a dual trigger electrode heater-based cathode with a sub-millimeter columnar bias electrode inserted into the emitter cavity is proposed. Both experiments and simulations indicate that the dual trigger electrode cathode provides faster ignition time and self-healing ability from poisoning. A coupled plasma-thermal model reveals the ignition mechanism from the discharge process, power deposition, and ion sputtering. The electric field penetration induced by the inner electrode enhances the energy injection of emitted electrons and internal ohmic heating to establish an efficient discharge from upstream to downstream. Primary ignition of the inner electrode enhances the power deposition on the emitter with ion bombardment dominated, raising the emitter temperature rapidly by 150 K from 1173 K in the preheating phase to accelerate the electrode switching. Energetic ions during the primary ignition perform explosive scanning sputtering of the emitter, uniformly cleaning the tungstate layer from the emitter surface and allowing the cathode to self-heal from poisoning, as verified by destructive environmental tests.
Modeling thermal and buckling behavior in electrothermal bimorphs
Authors: Hussein Hussein , Tanguy Quentin A A , Lakkis Issam , Fariborzi Hossein , Majumdar Arka , Böhringer Karl F 
Published: November 2024

Abstract
Buckling is a structural phenomenon that can induce significant motion with minimal input variation. Electrothermal bimorphs, with their simple input and compact design, can leverage out-of-plane buckling motion for a broad range of applications. This paper presents the development of analytical electrothermal and structural models for such bimorphs. The electrothermal model calculates the temperature distribution within the bimorph caused by electrothermal heating, providing a 2D explicit analytical expression for estimating temperature along the bimorph’s length and cross-section. Nonhomogeneous heating leads to varying strains, which induce axial forces and moments along the bimorph’s neutral plane, varying with thermal expansion. The structural model derives the governing equation of deformation for the bimorph by analyzing internal strains and stresses resulting from deformation, electrothermal heating, and residual stresses. An analytical solution for deflection is obtained, incorporating infinite sums of heating and buckling modes, with closed-form equivalent expressions when possible. The bimorph’s behavior under different scenarios of residual stresses and electrothermal heating is elucidated based on the analytical model. Comparisons with finite element simulations demonstrated excellent agreement, highlighting the high accuracy of the proposed models.