bluuebunny/crossref_metadata_2025_split huggingface dataset:
A fast disturbance cancellation scheme for orthogonal frequency division multiplexing‐based passive radar exploiting reciprocal filter
Authors: Trujillo Rodriguez Javier , Blasone Giovanni P. , Colone Fabiola , Lombardo Pierfrancesco 
Published: October 2023

AbstractThis paper proposes a simple non‐adaptive approach for the suppression of direct signal and clutter contributions in a passive radar system based on orthogonal frequency division multiplexing transmissions, exploiting the properties of a reciprocal filter (RF). The use of a RF allows to circumvent the limits posed by the waveform ambiguity function, producing a data‐independent time‐invariant response to a stationary point‐like target echo at the output of the range compression stage. This feature enables simple clutter cancellation strategies, based on the subtraction of delayed portions of the surveillance signal, according to the conventional moving target indication methodologies. The proposed processing scheme consists of a range compression stage based on a RF, followed by a Single Canceller. Its performance is investigated against a simulated and an experimental data set, for the case of a digital video broadcasting‐terrestial‐based passive radar scenario, and it is compared to an alternative scheme based on a conventional matched filter and adaptive cancellation techniques. The proposed approach is shown to yield a perfect cancellation of the clutter returns from a stationary scene under ideal conditions. Moreover, it proves to be robust to real‐world conditions, despite its considerably limited computational load compared to adaptive clutter cancellation techniques.
Could Telling Parents About Substance Use Decrease Involvement in
Crime of Substance Users?
Authors: Danışman Mustafa , İspir Gamze Zengin , Özpolat Ayşe Gül Yılmaz 
Published: October 2023

Abstract
Introduction Substance use disorder and criminal behaviors are increasing
all over the world day by day. Factors that affect the involvement in crime
among people with substance use disorders need to be examined more. This
research aims to investigate the protective factors of substance users’
involvement in crime and clarify the importance of telling parents about their
substance use.
Method A total of 190 patients with substance use disorders were included.
Patients were divided into two groups: those who told their families about their
substance use (TP+) and those who did not tell (TP-). A sociodemographic
data form, the short form of My Memories of Upbringing Scale for perceived
parental attitudes, Experiences in Close Relationships Scale-Revised, and
Emotional Autonomy Scale were used.
Results Our study found that people in the TP+group were less
involved in crime than TP-. Telling rates increased proportionally when
individuals' anxious attachment and individuation levels rose. In the
TP+group, criminal history was correlated positively with substance use
duration.
Conclusion Telling their families that they are using substances can be a
protective factor in itself against crime among drug users, especially in the
early stages of addiction. Professionals in addiction psychiatry should
encourage their patients to tell their substance use. Teaching and encouraging
them to communicate with their relatives might play a key role for policymakers
while dealing with substance use disorders and related outcomes.
An Externally Validated Model to Predict Prolonged Induction of Labor with an Unfavorable Cervix
Authors: Kawakita Tetsuya , Saeed Haleema , Huang Jim C. 
Published: October 2023

Objective To develop and externally validate a prediction model to calculate the likelihood of prolonged induction of labor (induction start to delivery time > 36 hours).
Study Design This was a retrospective cohort study of all nulliparous women with singleton pregnancies and vertex presentation at term who underwent induction of labor and had a vaginal delivery at a single academic center. Women with contraindications for vaginal delivery were excluded. Analyses were limited to women with unfavorable cervix (both simplified Bishop score [dilation, station, and effacement: range 0–9] <6 and cervical dilation <3 cm). Prolonged induction of labor was defined as the duration of induction (induction start time to delivery) longer than 36 hours. A backward stepwise logistic regression analysis was used to identify the factors associated with prolonged induction of labor by considering maternal characteristics and comorbidities as well as fetal conditions. The final model was validated using an external dataset of the Consortium on Safe Labor after applying the same inclusion and exclusion criteria. We developed a receiver observer characteristic curve with area under the curve (AUC) in validation cohorts.
Results Of 2,118 women, 364 (17%) had prolonged induction of labor. Factors associated with prolonged induction of labor included body mass index at admission, hypertension, fetal conditions, and epidural. Factors including younger maternal age, prelabor rupture of membranes, and a more favorable simplified Bishop score were associated with a decreased likelihood of prolonged induction of labor. In the external validation cohort, 4,418 women were analyzed, of whom 188 (4%) had prolonged induction of labor. The AUC of the final model was 0.76 (95% confidence interval: 0.73–0.80) for the external validation cohort. The online calculator was created and is available at: https://medstarapps.org/obstetricriskcalculator.
Conclusion Our externally validated model was efficient in predicting prolonged induction of labor with an unfavorable cervix.
Key Points
Researcher's Perspective on Upper Respiratory Tract Infections, Immunomodulatory and Antiviral Effects of High-Dilution Medicines
Authors: Patil Aditya Dilipkumar 
Published: October 2023

AbstractHomoeopathic system of medicine is based on Law of Similars, that is, principle of ‘Like cures like’. These ultra-diluted forms of medicine are prescribed on the basis of symptom similarity (individualised therapeutic) which helps in stimulating body's own defence mechanisms to fight against the pathogen. Homoeopathy had been tested in various preclinical studies for deciphering its properties of immunomodulatory on markers like tumour necrosis factor alpha, CD4 and antiviral effects in adenovirus 5, herpes simplex virus-1, respiratory syncytial virus and human rhinovirus which are elaborated. Effects of homoeopathic medicine on mild viral infections and CD4+ count are elaborated. A note on study design based on clinical trial of upper respiratory tract infections might be helpful in designing study for exploring immunomodulatory and antiviral effects of homoeopathic medicines.
Breast Augmentation in Transwomen: Can We have a Formula?
Authors: Chatterjee Sasanka Sekhar , Khanna Manoj , Yadav Neelam 
Published: October 2023

Abstract
Background Breast augmentation in transwomen is a surgical challenge as there is no available guideline for preoperative assessment of breast implant size, which caters to them specifically. The aim of our study is to derive a formula for preoperative breast implant size estimation, which would remove the personal bias, help in one-to-one discussion, and better understanding, reducing operative time, cost, and revision surgery rate.
Methods This is a retrospective study conducted from October 2018 to December 2020. We maintained a routine protocol for measurements in our patients, which has been previously published. Linear multivariate regression equation was applied to derive a formula using minimum of parameters, namely, CC (chest circumference at the inframammary fold [IMF]), POMP (circumference at the point of maximum projection of breast mound), and LOWERDIFF (lower value of difference in each breast between the stretched nipple [IMF] and the nonstretched nipple [IMF distance]).
Results A total of 51 transwomen underwent surgery in this period. The mean volume of implant used was 354.51 mL. Complications consisted of pain and discomfort in six patients, delayed healing in two patients, and wound dehiscence in one. A formula for preoperative calculation of breast implant was obtained with these data. A mathematical correlation was found between complications encountered and the percentage by which the inserted implants exceeded the calculated size.
Conclusion We could estimate the breast implant size preoperatively through a simple formula that require only four anthropometric measurements. This equation is a significant advantage for the surgeon and a useful tool for patient education. Its usefulness will be established if applied in prospective studies. From our study, it appears 9% above the calculated size is better avoided.
Studying literary translations in periodicals
Authors: Wong Ka Ki 
Published: October 2023

AbstractThis paper begins by reflecting on the general methodologies of studying translation in periodicals, summarized by studying Hong Kong literary magazines and newspapers. It appeals for translation studies to pay closer attention to periodicals and consider how the characteristics of periodicals affect translations. It starts with the most basic features, including the heterogeneity in periodicals, the paratexts, and the periodicity, and proposes studying translations in periodicals can help us to better understand the translation strategies and structural positions of a certain literary field. This paper then focuses on three examples from the 1970s and 1980s in Hong Kong, including the column writings of Leung Ping-kwan, the literary magazineSu Yeh Literature, and the translation of Pablo Neruda in various Hong Kong magazines, demonstrating cases of various research scales. With these, it aims to argue that periodicals are not only a medium of translation and a record of historical development but also active agents in the literary field.
Magnetic domain walls: types, processes and applications
Authors: Venkat G , Allwood D A , Hayward T J 
Published: October 2023

Abstract
Domain walls (DWs) in magnetic nanowires are promising candidates for a variety of applications including Boolean/unconventional logic, memories, in-memory computing as well as magnetic sensors and biomagnetic implementations. They show rich physical behaviour and are controllable using a number of methods including magnetic fields, charge and spin currents and spin-orbit torques. In this review, we detail types of DWs in ferromagnetic nanowires and describe processes of manipulating their state. We look at the state of the art of DW applications and give our take on the their current status, technological feasibility and challenges.
Circular dichroism in Floquet Chern insulator via high-order harmonics spectroscopy
Authors: Kim Jeail , Kim Dasol , Kim Dong Eon , Chacón Alexis 
Published: October 2023

Abstract
High-order harmonics (HOHs) spectroscopy is attracting the attention of the condensed matter community, mostly because the HOHs spectrum encode the material property. Topological materials are of interest for both basic research and advanced technologies because of their robust properties against dissipation and perturbations. Floquet engineering technique have been demonstrated to be a unique tool to manipulate topological phase. In this paper, we apply HOH spectroscopy to characterize the Floquet state via the circular dichroism (CD). We find that the CD of the co-rotating harmonics is sensitive to Floquet topological states
Remaining electrical life prediction of AC contactor based on CAE-BiGRU-Attention
Authors: Xing Chaojian , Liu Shuxin , Peng Shidong , Gao Shuyu , Liu Yang , Li Jing , Cao Yundong 
Published: October 2023

Abstract
To tackle the challenges of low prediction accuracy caused by single-feature modeling, and the hidden state of the neural network easily loses some information of the long time series, a method for predicting the remaining electrical life of AC contactor using a convolutional autoencoder-bidirectional gated recurrent unit-attention (CAE-BiGRU-Attention) was proposed in this work. Firstly, the feature parameters were extracted from the AC contactor full-life test, and an optimal feature subset was selected using neighborhood component analysis and Spearman rank correlation coefficient to characterize the degradation state of electrical life effectively. Then, the deep information of the optimal feature subset was extracted using CAE. Finally, the remaining electrical life of the AC contactor was treated as a long time series problem and predicted in time series by BiGRU-Attention accurately. The case analysis demonstrates that the model has better prediction accuracy than recurrent neural network (RNN), long short-term memory (LSTM), GRU, BiGRU and CAE-BiGRU models, with an average effective accuracy of 97.12%. This effectively demonstrates the model’s feasibility to accurately predict temporal sequences in the remaining electrical life prediction of electrical equipment.
Intelligent fault diagnosis of hydroelectric units based on radar maps and improved GoogleNet by depthwise separate convolution
Authors: Wang Yunhe , Zou Yidong , Hu Wenqing , Chen Jinbao , Xiao Zhihuai 
Published: October 2023

Abstract
Fault diagnosis plays an essential role in maintaining the safe and stable operation of hydroelectric units. In this paper, an intelligent fault diagnosis method based on radar maps and improved GoogleNet by depthwise separate convolution (DSC) is proposed to address the problems of low recognition accuracy and weak computing speed of fault diagnosis models in the field of hydroelectric unit fault diagnosis at present. Firstly, a one-dimensional signal sequence is obtained and denoised. Secondly, five time-domain features are extracted and radar maps are plotted. Then, an improved GoogleNet intelligent fault diagnosis model based on DSC (DSC-GoogLeNet) is constructed for training and validation. To assess the effectiveness of the proposed model, two case studies are conducted using the simulated dataset of the rotor experimental bench and the actual measured dataset of a domestic hydroelectric power plant. The results demonstrate that the average recognition accuracy of the fault diagnosis method proposed in this paper is as high as 99.04% on the simulated dataset, and even though the recognition accuracy decreases on the actually measurement dataset, it still has a recognition rate of 98.79%. The fault diagnosis performance is better than the other types of comparison models. The results demonstrate that the proposed fault diagnosis method holds significant engineering applicability in the domain of safe operation of hydroelectric units. It effectively addresses the existing challenges in fault diagnosis within this field with accuracy, stability, and efficiency.
Estimating Hausdorff measure for Denjoy maps
Authors: Pawelec Łukasz , Urbański Mariusz 
Published: October 2023

Abstract
By employing the recurrence method worked out in Pawelec (2019 arXiv: 1911.12992), we provide effective lower estimates of the proper–dimensional Hausdorff measure of minimal sets of circle homeomorphisms that are not conjugate to any rotation.
A Monte Carlo dose recalculation pipeline for durable datasets: an I-125 LDR prostate brachytherapy use case
Authors: Ouellet Samuel , Lemaréchal Yannick , Berumen-Murillo Francisco , Lavallée Marie-Claude , Vigneault Éric , Martin André-Guy , Foster William , Thomson Rowan M , Després Philippe , Beaulieu Luc 
Published: October 2023

Abstract
Monte Carlo (MC) dose datasets are valuable for large-scale dosimetric studies. This work aims to build and validate a DICOM-compliant automated MC dose recalculation pipeline with an application to the production of I-125 low dose-rate prostate brachytherapy MC datasets. Built as a self-contained application, the recalculation pipeline ingested clinical DICOM-RT studies, reproduced the treatment into the Monte Carlo simulation, and outputted a traceable and durable dose distribution in the DICOM dose format. MC simulations with TG43-equivalent conditions using both TOPAS and egs_brachy MC codes were compared to TG43 calculations to validate the pipeline. The consistency of the pipeline when generating TG186 simulations was measured by comparing simulations made with both MC codes. Finally, egs_brachy simulations were run on a 240-patient cohort to simulate a large-scale application of the pipeline. Compared to line source TG43 calculations, simulations with both MC codes had more than 90% of voxels with a global difference under ±1%. Differences of 2.1% and less were seen in dosimetric indices when comparing TG186 simulations from both MC codes. The large-scale comparison of egs_brachy simulations with treatment planning system dose calculation seen the same dose overestimation of TG43 calculations showed in previous studies. The MC dose recalculation pipeline built and validated against TG43 calculations in this work efficiently produced durable MC dose datasets. Since the dataset could reproduce previous dosimetric studies within 15 h at a rate of 20 cases per 25 min, the pipeline is a promising tool for future large-scale dosimetric studies.
Near-field coded-mask technique and its potential for proton therapy monitoring
Authors: Hetzel Ronja , Urbanevych Vitalii , Bolke Andreas , Kasper Jonas , Kercz Monika , Kołodziej Magdalena , Magiera Andrzej , Mueller Florian , Müller Sara , Rafecas Magdalena , Rusiecka Katarzyna , Schug David , Schulz Volkmar , Stahl Achim , Weissler Bjoern , Wong Ming-Liang , Wrońska Aleksandra 
Published: October 2023

Abstract

Objective. Prompt-gamma imaging encompasses several approaches to the online monitoring of the beam range or deposited dose distribution in proton therapy. We test one of the imaging techniques - a coded mask approach - both experimentally and via simulations. Approach. Two imaging setups have been investigated experimentally. Each of them comprised a structured tungsten collimator in the form of a modified uniformly redundant array mask and a LYSO:Ce scintillation detector of fine granularity. The setups differed in detector dimensions and operation mode (1D or 2D imaging). A series of measurements with radioactive sources have been conducted, testing the performance of the setups for near-field gamma imaging. Additionally, Monte Carlo simulations of a larger setup of the same type were conducted, investigating its performance with a realistic gamma source distribution occurring during proton therapy. Main results. The images of point-like sources reconstructed from two small-scale prototypes’ data using the maximum-likelihood expectation maximisation algorithm constitute the experimental proof of principle for the near-field coded-mask imaging modality, both in the 1D and the 2D mode. Their precision allowed us to calibrate out certain systematic offsets appearing due to the limited alignment accuracy of setup elements. The simulation of the full-scale setup yielded a mean distal falloff retrieval precision of 0.72 mm in the studies for beam energy range 89.5–107.9 MeV and with 1 × 108 protons (a typical number for distal spots). The implemented algorithm of image reconstruction is relatively fast—a typical procedure needs several seconds. Significance. Coded-mask imaging appears a valid option for proton therapy monitoring. The results of simulations let us conclude that the proposed full-scale setup is competitive with the knife-edge-shaped and the multi-parallel slit cameras investigated by other groups.
Insight into reactive oxygen plasma characteristics and reaction mechanism on SRF accelerator plasma cleaning
Authors: Zhu Tongtong , He Yuan , Tan Teng , Luo Didi , Chu Qingwei , Zhao Hongwei , Chen Sheng , Huang Shichun , Guo Hao , Yang Ziqin , Cao Hongwen , Liu Bo , Ye Zongbiao , Zhang Kun , Wang Yihan , Wu Andong 
Published: October 2023

Abstract
Reactive oxygen plasma treatment is an effective technique to eliminate hydrocarbon and improve the performance of superconducting radio frequency (SRF) cavities. This work investigated the reaction mechanism between reactive oxygen plasma and hydrocarbon, surface reaction kinetics, and cleaning process optimization through experiments, analytical models, and numerical simulations. The experimental results declare that the reaction between oxygen plasma and hydrocarbon is dominated by ion-assisted chemical sputtering, and the hydrocarbon attenuates exponentially, increasing the work function exponentially. To study the surface reaction kinetic process in-depth, we proposed a plasma cleaning rate model based on the Langmuir–Hinshelwood theory. This study found that the plasma cleaning rate primarily depends on the sheath potential, electron temperature, O atoms density, O+ ions, and Ar+ ions densities. Furthermore, we did a control-parameter simulation and found that increasing gas pressures or O2 ratios are conducive to enhancing the chemical reaction rate between O atoms and hydrocarbon. Also, the power increase can enhance the physical effect of ions. It shows that increasing the gas pressure and power and reducing the oxygen content can achieve a better cleaning effect while reducing the radio frequency power loss caused by the oxide. Those results provide valuable guidance for optimizing the cleaning process, deepening the understanding of the cleaning mechanism, and improving the performance of SRF cavities.
3D particle-in-cell simulations of negative and positive streamers in C4F7N–CO2 mixtures
Authors: Guo Baohong , Ebert Ute , Teunissen Jannis 
Published: October 2023

Abstract
We investigate negative and positive streamers in C4F7N–CO2 mixtures through simulations. These mixtures are considered to be more environmentally friendly than the insulating gas SF6 that is widely used in high voltage technology. Simulations are performed using a 3D particle-in-cell model. Negative streamers can propagate when the background field is close to the critical field. We relate this to their short conductive channels, due to rapid electron attachment, which limits their field enhancement. Positive streamers also require a background field close to the critical field, and in addition a source of free electrons ahead of them. In our simulations these electrons are provided through an artificial stochastic background ionization process as no efficient photoionization process is known for these gases. In 3D, we can only simulate the early inception stage of positive discharges, due to the extremely high electric fields and electron densities that occur. Qualitative 2D Cartesian simulations show that the growth of these discharges is highly irregular, resulting from incoming negative streamers that connect to existing channels. The inclusion of a stochastic background ionization process also has an interesting effect on negative discharges: new streamers can be generated behind previous ones, thereby forming a chain of negative streamers.
Ultra-slow spin waves propagation based on skyrmion breathing
Authors: Liu Zeng-Xing , Xiong Hao 
Published: October 2023

Abstract
Spin wave has attracted significant attention in various fields because of its rich physics and potential applications in the development of spintronics devices in the post-Moore era. However, the analog of a subluminal-like propagation in the field of spin waves has not been well discussed. Here, we theoretically demonstrate the ultra-slow spin waves propagation in a nanoscale two-dimensional ferromagnetic film in the presence of magnon-skyrmion interaction. The minimum spin waves propagation velocity was estimated to be as low as 1.8 m s−1 by adjusting the system parameters properly, and the spin waves group delay and advance are dynamically tunable via the intensity or detuning of the control field, which allows the possibility of observing superluminal- and subluminal-like spin waves propagation in a single experimental setup. These results deepen our understanding of the spin wave–skyrmion interactions, open a novel and efficient pathway to realize ultra-slow spin waves propagation, and are expected to be applied to magnetic information storage and quantum operations of magnons.