bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robotic MR-guided high dose rate brachytherapy needle implantation in the prostate (ROBiNSon)—a proof-of-concept study
Authors: Rasing Marnix J A , van Schelven Leonard J , van Lier Astrid L H M W , Boskovic Ernest , van Son Marieke , Schokker Rogier I , van Vliet-van den Ende Katelijne M , Kelder Daniëlle D , Verkerk Jacqueline , van de Pol Sandrine M G , Lagendijk Jan J W , Peters Max , van der Voort van Zyp Jochem R N , Moerland Marinus A 
Published: July 2024

Abstract

Objective. A robotic needle implant device for MR-guided high-dose-rate (HDR) prostate brachytherapy was developed. This study aimed to assess the feasibility and spatial accuracy of HDR brachytherapy using the robotic device, for a single intraprostatic target point. Approach. Five patients were treated from November 2019–June 2022 with the robot. The robot fits a 1.5 T MR scanner and the needle can be shifted and angulated. An intraprocedural MR scan was fused with the diagnostic MR and one preplanned needle position was selected for robotic insertion. The needle entry point and angles were set for a needle tip target point within the intraprostatic target volume. The needle was tapped stepwise towards the target point pneumatically. Final needle position was verified with MR, followed by plan optimization and dose delivery. Any remaining planned needles were inserted manually. Needle tip to geometrical target error (NTG-error) was defined as the deviation of the actual tip position relative to the predefined geometric target point, using MR-coordinates. Needle tip to treatment target error (NTT-error) was defined as the deviation of the actual tip position relative to the treatment target point, using fused MR-images pre- and post-needle implantation taking into account prostate deformation. Difference between NTT-error and NTG-error and fiducial marker shifts indicated prostate movement. For determining prostate deformation, the Jaccard index and prostate volumes were assessed. Main results. The robotic device was able to tap the needle to the planned depth for all patients. Mean robotic procedure duration was 142 min. NTG-error was 3.2 (range 1.1–6.7) mm and NTT-error 4.5 (range 2.6–9.6) mm. Marker displacements were smaller than 3 mm. No treatment-related acute toxicity was reported. Feasibility of needle placement within the prostate was considered adequate. Significance. MR-guided robotic needle insertion is feasible with a mean geometric accuracy of 3.2 mm and <3 mm prostate movement.
Individualized dose calculation for internal exposure on radionuclide intake: GPU acceleration approach
Authors: Yan Shuchang , Qiu Rui , Wu Zhen , Luo Xiyu , Hu Ziyi , Li Junli 
Published: July 2024

Abstract

Objective. The rapid and accurate assessment of internal exposure dose is a crucial safeguard for personnel health and safety. This study aims to investigate a precise and efficient GPU Monte Carlo simulation approach for internal exposure dose calculation. It directly calculates doses from common radioactive nuclides intake, like 60Co for occupational exposure, allowing personalized assessments. Approach. This study developed a GPU-accelerated Monte Carlo program for internal exposure on radionuclide intake, successfully realizing photoelectronic coupled transport, nuclide simulation, and optimized acceleration. The generation of internal irradiation sources and sampling methods were achieved, along with the establishment of a personalized phantom construction process. Three irradiation scenarios were simulated to assess computational accuracy and efficiency, and to investigate the influence of posture variations on internal dose estimations. Main results. Using the International Commission on Radiological Protection (ICRP) voxel-type phantom, the internal dose of radionuclides in individual organs was calculated, exhibiting relative deviation of less than 3% in comparison to organ dose results interpolated by Specific Absorbed Fractions in ICRP Publication 133. Employing the Chinese reference phantom for calculating internal irradiation dose from the intake of various radionuclides, the use of GPU Monte Carlo program significantly shortened the simulation time compared to using CPU programs, by a factor of 150–500. Internal dose estimation utilizing a seated Chinese phantom revealed up to a 75% maximum difference in organ dose compared to the same phantom in a standing posture. Significance. This study presents a rapid GPU-based simulation method for internal irradiation doses, capable of directly simulating dose outcomes from nuclide intake and accommodating individualized phantoms for more realistic and expeditious calculations tailored to specific internal irradiation scenarios. It provides an effective and feasible tool for precisely calculating internal irradiation doses in real-world scenarios.
Machine learning accelerated the prediction of mechanical properties of copper modified by TMDs based on molecular dynamics simulation
Authors: Wang Guoqing , Gao Ben , Zhao Gai , Shi Haoyu , Fang Shuntao , Liu Yuzhen 
Published: July 2024

Abstract
In this study, we constructed a dataset of elastic modulus and ultimate stress for copper material enhanced by Transition Metal Dichalcogenides (TMDs) through Molecular Dynamics (MD) simulations. Subsequently, leveraging chemical insights, we selected appropriate descriptors and established machine learning prediction models for elastic modulus and ultimate stress, respectively. Finally, the performance of the machine learning models was evaluated using a test set. The results demonstrate excellent performance of the machine learning models in predicting material properties. This work presents a novel approach for efficient material screening, demonstrating the synergy between MD simulations and machine learning in advancing materials research and intelligent material selection platforms.
Enhancing efficiency and stability of perovskite solar cells with Bi2Te3 interlayer: insights from SCAPS simulation
Authors: Dagar Anju , Batra Yogita 
Published: July 2024

Abstract
Perovskite solar cells (PSCs) have gained much interest due to their high power conversion efficiencies (PCE). Affordable, accessible, and efficient solar energy is crucial for a sustainable and clean future. In this article, we optimized PSC efficiency and performance with an interlayer (IL) of Bi2Te3 (BT). Cell performance and efficiency were improved by incorporating BT IL with varied thicknesses. BT IL promotes electron transport while protecting the underlying structure from chemical instability, improving device performance. This simple and low-cost technology for producing efficient and stable all-inorganic PSC holds considerable potential as a next-generation renewable energy source. The main focus is optimizing all-inorganic PSC using Solar Cell Simulator Capacitance software (SCAPS). We systematically explore the influence of BT thickness and defect densities on the device performance. The impact of charge carrier transport and overall photovoltaic performance is studied. Our findings reveal that introducing the BT IL leads to improved charge extraction, reduced recombination losses, and enhanced stability in the PSC. The optimized device configuration significantly enhances PCE compared to reference devices without BT IL. This study provides valuable insights into the potential use of BT ILs as a strategy to boost the efficiency and stability of PSCs.
Superior selectivity for NH3 (NO2) gas molecules in In2SSe (Ga2SSe) Janus materials: a first-principles study
Authors: Abdur Nur Khandakar Alif , Hasan Khan Md Sakib , Islam Md Rafiqul 
Published: July 2024

Abstract
Anthropogenic gasses are very detrimental, requiring superior sensitive and selective materials to sense and segregate them. Using first-principles density functional theory (DFT) tools we have explored the sensitivity and selectivity of CO2, CO, NH3, NO2, H2S, and SO2 gases in the promising group-III Janus Ga2SSe and In2SSe nanostructured materials. We have explored all the possible adsorption sites in the Ga2SSe and In2SSe monolayer for sensing the gases and found that all the gasses are physisorbed in the sites with the lowest adsorption energy of −0.392 eV (−0.167 eV) for NH3 (NO2) on top of Indium (on the bridge-3 site) site of In2SSe (Ga2SSe). All adsorbed gasses significantly alter the bandgap of Ga2SSe and In2SSe from their pristine value and NO2-adsorbed M2SSe (M = Ga, In) structure exhibits significant bandgap changes: ∼0.16 eV reduction in Ga2SSe and ∼0.3 eV reduction in In2SSe from the pristine value, signifying substantial increase in conductivity. Additionally, analyzing the total density of states (TDOS), it can be concluded that NH3 at the Indium site of In2SSe and NO2 at the Bridge-3 site of Ga2SSe exhibit the most significant conductivity changes. Considering charge transfer, it is determined that 0.727 e/Å−3 of charge is transferred from In2SSe to NH3, while 1.05 e/Å−3 of charge is transferred from Ga2SSe to NO2 gas molecules, inferring that both NH3 and NO2 act as electron acceptors. Through this analysis, we found that NH3 is very selective on In2SSe while NO2 is selective on Ga2SSe Janus materials among the control gasses. This selectivity toward NH3 (NO2) gas on In2SSe (Ga2SSe) Janus material can open the new possibility of these materials for noxious gas sensing as well as NO2 utilization applications.
An advanced cryptographic scheme for DICOM medical image encryption using a novel spatiotemporal chaotic lattice
Authors: Ma Wenzheng , Wang Yu 
Published: July 2024

Abstract
Ensuring the privacy and security of medical imaging data is crucial. Most existing methods focus on encrypting images in common formats, neglecting the unique challenges posed by medical formats. In this paper an advanced encryption algorithm based on a multi-dimensional and multi-parametric spatiotemporal coupled chaotic lattice (Double-MsCcL) system is proposed. The Double-MsCcL system enhances the complexity of chaotic sequences, and provides a robust foundation for medical image encryption. The encryption method proposed combines double-layer random DNA diffusion and fractal random permutation. Medical information is embedded in the image pixels, serving as the cryptosystem key. The designed double-layer DNA random diffusion algorithm alters pixel values, while the fractal random permutation algorithm disrupts pixel positions. This proposed approach effectively hides sensitive information, strengthens resistance to plaintext attacks, and address the often-overlooked Uint16 format of DICOM images. Comprehensive performance evaluations have shown that the proposed encryption scheme offers significant advantages in protecting sensitive medical imaging data. Our algorithm exhibits better performance in resisting plaintext analysis, statistical, and differential attacks, demonstrating significant security compared to existing state-of-the-art methods, which can be widely applied in the field of modern medical data protection.
Stability and instability nature of solitons in an optical fiber with four wave mixing effect
Authors: Parasuraman E , Seadawy Aly R , Muniyappan A 
Published: July 2024

Abstract
The investigation into modulational instability (MI) within the Kundu-Eckhaus (KE) equation, governing optical solitons, involves a thorough examination of the effects of self-phase modulation, cross-phase modulation, and intermodal dispersion. Special attention is given to understanding the influence of the four-wave mixing effect. The KE equation, which models birefringent fiber and includes terms related to intermodal dispersion, cross-phase modulation, and self-phase modulation, serves as the fundamental framework for this analytical study. Employing conventional linear stability analysis, the gain within the KE equation is determined. To shed light on the role of four-wave mixing in various scenarios, the gain spectrum is utilized as a tool to analyze the behavior of the KE equation under different conditions. This methodology seeks to provide insightful information about the intricate interactions that impact the modulational instability of solitonic pulses in an optical systems. After that, we have investigated the soliton solution by implementing the Jacobian elliptical function approach. Finally, our focus here is on linear stability analysis, which employs eigenvalue spectra to study solitons’ stability via direct numerical simulation.
Device design of efficient HTL-free all carbon-based perovskite solar cell
Authors: Zhou Yike , Shi Kaixuan , Liu Xiaohui , Zhang Jing , Zhu Yuejin , Huang Like 
Published: July 2024

Abstract
Perovskite solar cells (PSCs) are a very promising photovoltaic technology, however, the cost issue of their precious metal back electrodes needs to be addressed. Carbon-electrode-based perovskite solar cells (C-PSCs) have attracted considerable attention for their superior stability, high economic efficiency, and eco-friendliness. However, compared to other types of PSCs, there is still significant potential for improving the power conversion efficiency (PCE) of C-PSCs. Moreover, if the transparent front electrode and transport layer can also be replaced by stable carbon materials to form the all-carbon-based PSCs (AC-PSCs), it will further promote their practical applications. This work proposes four types of C-PSCs (including two AC-PSCs) and conducts simulation with the SCAPS-1D program. For the four structures, the device with FASnI3 absorber layer always has better performance, and the structure of graphene/C60/FASnI3/carbon (Cell 4) attained the highest PCE of 31.62%. The optimal parameters for each layer are also determined through the simulation work. This work will promote the development of all-carbon-based perovskite solar cells.
Sustainable composite materials with date palm rachis fibers for enhanced insulation and structural integrity
Authors: Ferhat Maroua , Djemai Hocine , Guettaf Temam Elhachmi , Labed Adnane , Lahag Lemya , Sid Amer Youcef 
Published: July 2024

Abstract
This investigation focuses on the development and characterization of sustainable composite materials for insulation and structural components in the automotive and shipbuilding industries, by incorporating date palm Rachis fibers into an epoxy matrix. Thus, we evaluated the effect of the weight ratio (ranging from 0 to 15 wt%) of Rachis fibers (0.315 mm) on the mechanical, physical, surface morphology, thermal properties, and water absorption. It turns out according to the study that, the XRD pattern revealed the amorphous nature of the composite. This new material can be used as composite material itself or as a skin of a sandwich composite material. The Epoxy-Rachis (ER) composite materials exhibited a low thermal conductivity of 0.21 W/ (m.K) and a low thermal diffusivity of 0.17 mm2 s−1 presenting high thermal insulation and construction properties. The SEM images showed that increasing Rachis fiber concentration produces a heterogeneous bio-composite material. The resulting composition showcases ductile fracture behavior with a flexural modulus (Ef) of 3.21 GPa and a bending strength (σ) of 9.28 MPa. These attributes underline the suitability of this composite for applications requiring efficient thermal insulation and robust construction properties, while simultaneously contributing to environmental sustainability and environmental benefits.
A non-perturbative and background-independent formulation of quadratic gravity
Authors: Salvio Alberto 
Published: July 2024

Abstract
A non-perturbative and background-independent quantum formulation of quadratic gravity is provided. A canonical quantization procedure introduced in previous works, named after Dirac and Pauli, is here applied to quadratic gravity to obtain, as required by consistency, a well-defined Euclidean path integral. The theory is unitary: all probabilities are non negative and they sum up to one. We obtain path-integral expressions for the transition amplitudes, Green's functions and generic matrix elements of time-ordered products of the metric. As a byproduct, similar results are also obtained for a scalar-field four-derivative interacting model. In this way, among other things, previous perturbative and background-dependent calculations are justified. The (quantum) quadratic gravity effective action, whose field equations determine the vacuum expectation value of the metric in the presence of a generic energy-momentum tensor, is constructed. The classical limit of the effective action turns out to be equivalent to the starting classical action of quadratic gravity, whose runaway rates were previously shown to be slow enough to be compatible with observations. Finally, the constructed non-perturbative and background-independent quantum quadratic gravity is applied to quantum cosmology to obtain a path-integral expression for the wave function of the universe, which satisfies a sort of Wheeler-DeWitt equation. This application allows us to understand at the quantum level why our universe is nearly homogeneous and isotropic.
An implementation of nDGP gravity in Pinocchio
Authors: Song Yanling , Hu Bin , Ruan Cheng-Zong , Moretti Chiara , Monaco Pierluigi 
Published: July 2024

Abstract
In this paper we investigate dark matter structure formation in the normal branch of the Dvali-Gabadadze-Porrati (nDGP) model using the PINOCCHIO algorithm. We first present 2nd order Lagrangian perturbation theory for the nDGP model, which shows that the 1st- and 2nd-order growth functions in nDGP are larger than those in ΛCDM. We then examine the dynamics of ellipsoidal collapse in nDGP, which is accelerated compared to ΛCDM due to enhanced gravitational interactions. Running the nDGP-PINOCCHIO code with a box size of 512 Mpc h
-1 and 10243 particles, we analyze the statistical properties of the output halo catalogs, including the halo power spectrum and halo mass function. The calibrated PINOCCHIO halo power spectrum agrees with N-body simulations within 5% in the comoving wavenumber range k<0.3 (h Mpc-1) at redshift z=0. The agreement is extended to smaller scales for higher redshifts. For the cumulative halo mass function, the agreement between N-body and PINOCCHIO is also within the simulation scatter.
Alpha particle loss measurements and analysis in JET DT plasmas
Authors: Bonofiglo P.J. , Kiptily V.G. , Rivero-Rodriguez J. , Nocente M. , Podestà M. , Štancar Ž. , Poradzinski M. , Goloborodko V. , Sharapov S.E. , Fitzgerald M. , Dumont R. , Garcia J. , Keeling D. , Frigione D. , Garzotti L. , Rimini F.G. , Van Eester D. , Lerche E. , Maslov M. ,   JET Contributors
Published: July 2024

Abstract
Burning reactor plasmas will be self-heated by fusion born alpha particles from deuterium-tritium reactions. Consequently, a thorough understanding of the confinement and transport of DT-born alpha particles is necessary to maintain the plasma self-heating. Measurements of fast ion losses provide a direct means to monitor alpha particle confinement. JET’s 2021–2022 second experimental DT-campaign offers burning plasma scenarios with advanced fast ion loss diagnostics for the first time in nearly 25 years. Coherent and non-coherent alpha losses were observed due to a variety of low frequency MHD activity. This manuscript will present the loss mechanisms, spatial and pitch dependencies, scalings with plasma parameters, correlations with wall impurities, and magnitude of DT-alpha born losses.
Peridynamic modelling of cryogenic deuterium pellet fragmentation for shattered pellet injection in tokamaks
Authors: Lee S.-J. , Madenci E. , Na Yong-Su , de Marné P. , Dibon M. , Heinrich P. , Jachmich S. , Papp G. , Peherstorfer T. ,   the ASDEX Upgrade Team
Published: July 2024

Abstract
Shattered pellet injection (SPI) is a promising method for controlling plasma disruptions in tokamaks. In this study, we present numerical modelling of the fragmentation of cryogenic deuterium pellets within the context of SPI, using the peridynamic (PD) theory. A dedicated in-house code has been developed, leveraging the meshfree method and GPU parallelization. The mechanical properties of cryogenic solid deuterium are obtained from available literature, and calibrated based on the shatter threshold along with the remaining solid mass fraction after shatter. The results from the bond-based PD successfully reproduce the main experimental results reported in the literature, both qualitatively and quantitatively.
Optimization of Power Prediction of BP Network with Improved Pelican Algorithm
Authors: Hui Lichuan , Li Yao , Zan Lizhi 
Published: July 2024

Abstract
In view of the large fluctuation of photovoltaic output power affected by different weather, accurate prediction of photovoltaic output power is particularly important for the safe and stable operation of power system. Firstly, the pelican optimization algorithm ( POA ) is improved in the following three aspects : adding Circle chaotic map to make the population evenly distributed, introducing mutation factor to expand the search range of pelican when approaching prey, adding adaptive weight and firefly disturbance to avoid falling into local optimum in the water surface flight stage ; then, in order to improve the prediction accuracy of BP algorithm, the improved pelican algorithm ( IPOA ) is used to optimize the weights and thresholds of BP neural network, and the IPOA-BP photovoltaic power prediction model is built to improve the accuracy of power prediction. Finally, this paper tests the prediction performance of IPOA-BP, POA-BP and basic BP power prediction models in sunny, cloudy and rainy days through experiments. The experimental results demonstrate that the IPOA-BP prediction model outperforms both the POA-BP and traditional BP neural network models under various weather conditions.
Research on Overvoltage at the Wind Turbine Terminal
Authors: Lin Canxin , Hao Linzhao , Yan Qiyan 
Published: July 2024

Abstract
This article provides an in-depth analysis of the causes of overvoltage at the generator end and the existing overvoltage protection circuits. Due to the long cable connection between the generator and the converter, voltage reflection occurs during the power transmission process, resulting in overvoltage at the output end of the generator and the input end of the converter. A mathematical model and simulation model have been established to address this issue. Firstly, the transmission line theory is used to analyze the characteristics of PWM pulse transmission in long cables. The reasons for overvoltage at the generator end and the influence of cable distribution parameters on overvoltage are analyzed; Secondly, conduct theoretical calculations; Finally, establish a simulation model using Matlab/Simulink, and analyze the harm of motor terminal overvoltage to the wind power generation system through simulation.
An investigation of the Behaviour of Copper Electronic State Evolution on the Failure of Oil-paper Insulation Systems
Authors: Lin Haidan , Guo Jiachang , Zhang Zilong , Li Shouxue , Yang Daiyong , Zhang Haifeng 
Published: July 2024

Abstract
Copper, as one of the most hazardous metals to transformer insulation systems, has attracted a great deal of interest from scholars at home and abroad. Unfortunately, the specific type of copper that causes catalytic aging of oil-paper insulation is still controversial. Therefore, in this paper, the effect of the electronic state evolution of copper in different oxidation states on the aging performance of the insulation systems was investigated by characterization techniques and performance evaluation. Cu2O has a stronger catalytic oxidizing effect on insulation system than CuO. This study elucidates the electronic state evolution of different oxidation states of copper and its influence on the insulation performance, which lays a good foundation for the advancement of transformer fault warning technology.