bluuebunny/crossref_metadata_2025_split huggingface dataset:
First person singular subject pronoun expression of young Spanish speakers from Quito, Ecuador
Authors: Del Carpio Leslie 
Published: November 2023

Abstract
This variationist study analyzes the first-person subject pronoun expression (SPE) of speakers from Quito, Ecuador. To date, this morphosyntactic variable has not been explored in this Andean variety of Spanish. The data consists of 20 sociolinguistic interviews. Results reveal an SPE rate of 17%, comparable to other Andean Spanish varieties. As per Rbrul’s quantitative analysis, the predictors that promote the presence of the ‘yo’ in this variety of Spanish are co-referential Priming, switch reference, ambiguous TMA endings and main clauses. In addition, following Orozco and Hurtado (2021), lexical effects of the verb were observed by analyzing the verb lemma. This predictor revealed similarly opposing tendencies between verbs in the same lexical category. This study adds to the growing body of SPE research by examining which linguistic variables influence the use of ‘yo’ in this Ecuadorian Andean Spanish (EAS) variety and comparing these results to those of other Andean Spanish varieties.
The domain derivative in inverse obstacle scattering with nonlinear impedance boundary condition
Authors: Fink Leonie , Hettlich Frank 
Published: November 2023

Abstract
In this paper an inverse obstacle scattering problem for the Helmholtz equation with nonlinear impedance boundary condition is considered. For a certain class of nonlinearities, well-posedness of the direct scattering problem is proven. Furthermore, differentiability of solutions with respect to the boundary is shown by the variational method. A characterization of the derivative allows for iterative regularization schemes in solving the inverse problem, which consists in reconstructing the scattering obstacle from the far field pattern of a scattered wave. An all-at-once Newton-type regularization method is developed to illustrate the use of the domain derivative by some numerical examples.
Growth and characterization of the magnetic topological insulator candidate Mn2Sb2Te5
Authors: Saxena Ankush , Awana V P S 
Published: November 2023

Abstract
We report a new member of topological insulator (TI) family i.e. Mn2Sb2Te5, which belongs to MnSb2Te4 family and is a sister compound of Mn2Bi2Te5. An antiferromagnetic layer of (MnTe)2 has been inserted between quintuple layers of Sb2Te3. The crystal structure and chemical composition of as grown Mn2Sb2Te5 crystal is experimentally visualized by single crystal x-ray diffractometer and field emission scanning electron microscopy. The valence states of individual constituents i.e., Mn, Sb and Te are ascertained through x-ray photo electron spectroscopy. Different vibrational modes of Mn2Sb2Te5 are elucidated through Raman spectroscopy. Temperature-dependent resistivity ρ(T) of Mn2Sb2Te5 resulted in metallic behavior of the same with an up-turn at below around 20 K. Further, the magneto-transport ρ(T) vs H of the same exhibited negative magneto-resistance (MR) at low temperatures below 20 K and small positive at higher temperatures. The low Temperature −ve MR starts decreasing at higher fields. The magnetic moment as a function of temperature at 100 Oe and 1 kOe showed anti-ferromagnetism (AFM) like down turn cusps at around 20 K and 10 K. The isothermal magnetization showed AFM like loops with some embedded ferromagnetic/paramagnetic (PM) domains at 5 K and purely PM like at 100 K. The studied Mn2Sb2Te5 clearly exhibited the characteristics of a magnetic TI.
Multidimensional clustering based fault diagnosis method for wind turbine transmission chain
Authors: Zhang Wei , Ruan Aiguo , Huang Guoyong , Qian Junbing , Shen Zhongming , Liu Fabing , Zhang Yao 
Published: November 2023

Abstract
With the rapid development of wind power generation, ensuring the reliability and fault diagnosis of wind turbine transmission chains has become a focal point. Traditional clustering methods that address the fault diagnosis problem in wind turbine transmission chains suffer from low fault discrimination and accuracy, as they rely on a single indicator. This paper proposes a two-dimensional clustering model that utilizes multiple indicators to address the issue of distinguishing similar faults within the wind turbine transmission chain from various perspectives and dimensions. The proposed approach involves collecting vibration signals from the transmission chain of wind turbines using sensors and using the root mean square and kurtosis of the fault signal as clustering features. A multidimensional polar coordinate clustering model is established, with the signal kurtosis representing the polar angle and the root mean square representing the polar radius. The clustering of fault signals within wind turbine transmission chains is achieved by optimizing the clustering boundaries by establishing a clustering boundary optimization equation. The results of the developed clustering model are evaluated using external and internal evaluation methods. Experimental results demonstrate that this method exhibits high accuracy and low computational complexity in diagnosing faults within wind turbine transmission chains. In comparison with other clustering methods, the proposed method outperforms them according to the experimental results. Hence, this study presents a novel approach for health monitoring and fault diagnosis of the transmission chain of wind turbines, which has significant implications for improving the reliability of wind turbine operation and reducing maintenance costs.
Self-protected high-temperature superconducting demonstrator magnet for particle detectors
Authors: Van den Eijnden Joep L , Vaskuri Anna K , Curé Benoit , Dudarev Alexey , Mentink Matthias 
Published: November 2023

AbstractA high temperature superconducting (HTS) demonstration coil has been developed in the frame of the Experimental Physics department Research and Development program at CERN The magnet extends the recent experimental demonstration of aluminium-stabilised HTS conductors and supports the development of future large scale detector magnets. The HTS magnet has five turns and an open bore diameter of 230 mm. Up to 30 K, the coil was measured to be fully superconducting across four central turns at 4.4 kA, the maximum available current of existing power supply. The central magnetic field is 0.113 T, the peak field on the conductor is 1.2 T and the coil has a stored magnetic energy of 0.1 kJ. A 3D-printed aluminium alloy (Al10SiMg) cylinder acts both as a stabiliser and a mechanical support for the superconductor. The resistivity of Al10SiMg was measured at cryogenic temperatures, and has a residual resistivity ratio of approximately 2.5. The ability to solder ReBCO tapes (a stack of four REBCO tapes, 4 mm wide, Fujikura) to Al10SiMg stabiliser, electroplated with copper and tin, forming a coil, is demonstrated using tin-lead solder at 188∘C. The HTS magnet was proven to be stable when superconductivity was broken locally using a thin-film heater. Despite voids in the solder joint between HTS and stabiliser, no degradation of the magnet’s performance was observed after 12 thermal cycles and locally quenching the magnet. A numerical model of the transient behaviour of solenoid with partially shorted turns is developed and validated against measurements. Our work experimentally and numerically validates that using an aluminium alloy as a stabiliser for HTS tapes can result in a stable, lightweight and transparent magnet.
Enhancing structural and magnetic properties of BaFe12O19 nanoparticles through co-substitution (Co-Mn): A promising approach for permanent magnet applications
Authors: Moatoshi  , Sarma Sidananda , Borah J P 
Published: November 2023

Abstract
In-depth study into the creation and improvement of rare-earth free permanent magnets, particularly ferrites, has been sparked by recent economic and environmental concerns. M-type barium hexaferrites (BaFe12O19, pure BHF) are a class of low-cost permanent magnets with an excellent curie temperature and good resistance to oxidation and corrosion that are significant from a technological perspective. In the current study, the experimental conditions are optimized to obtain barium hexaferrite (BaFe12O19) co-substituted with transition elements (Co and Mn) (BaFe12–2xCoxMnxO19) via the chemical co-precipitation method. In this framework, different substitution possibilities will be investigated. The structure, morphology, vibrational spectrum, and thermal stability of the generated nanoparticles were revealed using powder x-ray diffraction (XRD), transmission electron microscope (TEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). Rietveld refinement was used to estimate the average bond length and bond angle in order to determine the impact of superexchange interaction. Based on more precise structural characteristics, the atomic occupation and distribution of bonds are depicted from their charge density graph. For all the synthesized materials, the maximum energy product (BH)max and magnetic characteristics (VSM) were also investigated. The potential causes of this phenomenon were examined and discussed at length.
Enhancing the selective electrical activation of human vagal nerve fibers: a comparative computational modeling study with validation in a rat sciatic model
Authors: Tovbis Daniel , Lee Eugene , Koh Ryan G L , Jeong Rania , Agur Anne , Yoo Paul B 
Published: November 2023

Abstract

Objective. Vagus nerve stimulation (VNS) is an emerging treatment option for a myriad of medical disorders, where the method of delivering electrical pulses can vary depending on the clinical indication. In this study, we investigated the relative effectiveness of electrically activating the cervical vagus nerve among three different approaches: nerve cuff electrode stimulation (NCES), transcutaneous electrical nerve stimulation (TENS), and enhanced TENS (eTENS). The objectives were to characterize factors that influenced nerve activation and to compare the nerve recruitment properties as a function of nerve fiber diameter. Methods. The Finite Element Model, based on data from the Visible Human Project, was implemented in COMSOL. The three simulation types were compared under a range of vertical and horizontal displacements relative to the location of the vagus nerve. Monopolar anodic stimulation was examined, along with latency and activation of different fiber sizes. Nerve activation was determined via the activating function and McIntyre-Richardson-Grill models, and activation thresholds were validated in an in-vivo rodent model. Results. While NCES produced the lowest activation thresholds, eTENS generally performed superior to TENS under the range of conditions and fiber diameters, producing activation thresholds up to three times lower than TENS. eTENS also preserved its enhancement when surface electrodes were displaced away from the nerve. Anodic stimulation revealed an inhibitory region that removed eTENS benefits. eTENS also outperformed TENS by up to four times when targeting smaller diameter nerve fibers, scaling similar to a cuff electrode. In latency and activation of smaller diameter nerve fibers, eTENS results resembled those of NCES more than a TENS electrode. Activation threshold ratios were consistent in in-vivo validation. Significance. Our findings expand upon previously identified mechanisms for eTENS and further demonstrate how eTENS emulates a nerve cuff electrode to achieve lower activation thresholds. This work further characterizes considerations required for VNS under the three stimulation methods.
Internal dose assessment of lymphoma 18F-FDG Positron Emission Tomography (PET) scan
Authors: Murat H , Karim M K A , Kechik M M A , Amer M F , Razak H R A , Kamal I , Chew M T 
Published: November 2023

Abstract
This study aimed to assess the internal radiation exposure of patients who have undergone a Positron Emission Tomography (PET) scan using 18F-FDG radiopharmaceutical. A total of 24 patients (8 men, 16 women, with an average age of 43.88 ± 18.57 years and weight of 57.54 ± 13.04 kg) who had been diagnosed with lymphoma were administered with 300.80 ± 23.09 MBq of 18F-FDG for a PET scan of the whole body. The IDAC-Dose 2.1 program, developed by the International Commission on Radiological Protection (ICRP), was used to measure absorbed and effective doses. The organs selected for absorbed dose analysis were the breast, kidneys, adrenals, liver, and brain, with the brain receiving the highest absorbed dose and the breast receiving the lowest absorbed dose. The effective dose for all patients was 4.85 ± 0.37 mSv, and the ratio of the effective dose to the administered activity was 1.611 × 10−2 mSv/MBq. The safety of the current practice using 18F-FDG PET scan was ascertained, given that the ratio of effective dose to administered activity was lower than 1.9 x 10−2 mSv/MBq.
Characteristics of Fly Ash as a Constituent Material for Geopolymer
Authors: Chairunnisa N , Haryanti N H , Nurwidayati R , Pratiwi A Y , Arnandha Y , Saputra Y , Hazizah N 
Published: November 2023

Abstract
Fly ash waste from the Asam-Asam Power Plant in South Kalimantan continues to increase. Various attempts have been made to utilize fly ash waste, among others. as a basic material for making geopolymers. Geopolymer is environmentally friendly because it replaces all cement with high Silica (Si) and Alumina (Al) wastes such as fly ash. This study aims to characterize fly ash as a raw material of geopolymer. Fly ash was filtered using 200 mesh and then heated in an oven at 105°C for 24 hours. The prepared fly ash was then tested for physical properties and compound analysis using XRF, identification of chemical bonds and functional groups using FTIR, morphology, and elements using SEM EDX. Initial and final setting time was investigated using the Vicat apparatus to determine e whether cement is undergoing proper hydration. The results indicated that the fly ash was classified to class F. That was based on the amount of SiO2 + Al2O3 + Fe2O3 of 85.91%, and the CaO content was less than 10%. Moreover, fly ash’s initial and final setting time was 1072.5 and 3180 minutes, respectively. Fly ash in this research can be used as a raw material for geopolymers.
Characteristics Analysis of Hybrid Optical Amplifier with Doped Fiber Variations for Fiber Optic Communications Network
Authors: Ramadani R , Khairunisa S A , Khoiro M 
Published: November 2023

Abstract
Optical communication networks are vital in the digital era, but data transmission becomes weak the longer the distance traveled by light. Erbium-Doped Fiber Amplifier (EDFA) technology is commonly used as an optical amplifier, but it still produces a small gain, Q-factor, and a significant noise figure. This study characterized the Hybrid Optical Amplifier (HOA) combinations that contain EDFA with various doped fibers. The characterization was performed through Optisystem software simulation by observing and analyzing the gain, noise of figure, and Q-factor generated by each doped fiber variant. The results showed that the combination of Ytterbium-doped Fiber produced the most significant gain of 15.83 dB, less noise figure of 5,661 dB, and a relatively high Q-factor of 35,615 at 1,550 nm. It indicates that the HOA combination is suitable and ideal for long-distance transmission in fiber optic communication network applications.
Climate Change Literacy of Coastal Disaster-Prone Communities in Realizing Climate Action for Sustainable Physics Learning
Authors: Lestari N A , Jatmiko B , Madlazim  
Published: November 2023

AbstractClimate change can cause an increase in rainfall, accelerated erosion and runoff of water on the surface, drought, and excess water, which in turn causes floods and landslides. A proactive response to disasters is needed to increase management effectiveness and reduce loss of life and property. Efforts to reduce the risk of hydrometeorological disasters can be carried out by involving the community. Disaster management knowledge and skills can save more lives and as a provision to respond to disasters. Therefore, research will be carried out to determine the profile of people’s climate awareness and literacy in dealing with disasters caused by climate change, especially in coastal areas. A qualitative research design with the type of descriptive study is used to describe the profile of people’s understanding of disasters caused by climate change, disaster risk mitigation/reduction, and ways of adaptation. Data collection will be carried out by researchers using in-depth interview techniques and field observations so that they can show the presence and involvement of researchers. The research results show that the community’s climate literacy skills, especially regarding knowledge about climate change, are still not good. However, in action, the Community already has appropriate mitigation and adaptation activities in handling disasters due to climate change in coastal areas. The implication of the research is expected to provide information related to community climate literacy to meet the “Climate Action” sustainable development goals (SDGs) in physics learning.
Physics’ Science Literacy Profile of High School Students in South Kalimantan
Authors: Wati M , Pratiwi D B , Mahtari S , Dewantara D 
Published: November 2023

Abstract
The science literacy skills of students in South Kalimantan have yet to be fully identified. Therefore, this study aims to analyze the profile of physics science literacy among senior high school students in South Kalimantan. This research is a quantitative study that utilizes a purposive sampling technique. The study subjects are senior high school students in each district/city in South Kalimantan, with one school selected as the sample from each district/city. The study includes a total of 13 schools with 502 students. Data were obtained through surveys and data collection using test instruments. The data were analyzed descriptively using the Rasch model in the Winstep application. The results of the study show that the physics science literacy skills of senior high school students are categorized as “sufficient,” and the quality of the test items and the reliability aspects of the instruments are good. The categorization of science literacy skills among students in each district/city varies. The categories consist of four classifications: “very high” and “high” categories include two districts, the “sufficient” category includes five districts, and the “low” category includes three districts. Based on the variable maps of students’ proficiency levels, they fall into the “sufficient” category. Therefore, it can be concluded that the profile of physics science literacy among senior high school students in South Kalimantan is categorized as “sufficient”.
OPSNet: Point Cloud Registration Based on Overlapping Predictive Segmentation
Authors: Hu Jiuxin , Pan Zhihao , Li Zhiyong , Tang Jin 
Published: November 2023

Abstract
Registration is a critical task in the field of point clouds, aiming to align data acquired at different times or from different viewpoints for accurate matching. Deep learning methods have made important progress in point cloud registration tasks. However, most existing approaches do not handle the non-overlapping parts of point clouds, resulting in poor performance in low-overlap and noisy scenarios. We propose a registration model called OPSNet, which achieves optimal alignment transformation estimation and overlapping region prediction through an iterative process. OPSNet consists of modules including global feature extraction, overlapping region prediction segmentation, and alignment registration. By utilizing a segmentation algorithm to deal with the non-overlapping parts of data, OPSNet reduces the adverse effects caused by non-overlapping regions in point cloud registration. The model learns feature representations and performs iterative optimization to achieve precise point cloud alignment. We conduct comprehensive experiments on common point cloud registration datasets and compare OPSNet with several classical point cloud registration methods. The experimental results display that OPSNet achieves outstanding performance in terms of rotation and translation errors, outperforming other methods. Additionally, we evaluate the registration performance under different overlap ratios and find that OPSNet can achieve better registration results even in low-overlap scenarios.
Improved YOLOV8 Network and Application in Safety Helmet Detection
Authors: Bao Junjie , Li Shihua , Wang Guanglong , Xiong Jianmin , Li Sailai 
Published: November 2023

Abstract
This paper proposes a research method to enhance the accuracy and real-time capability of helmet detection in complex industrial environments, aiming to address the engineering challenges of poor robustness and significant occurrences of both false positives and false negatives in existing detection methods. In this study, the C2F (faster version of CSP Bottleneck with two convolutions) module and FE (FasterNet with EMA) module are integrated into the network architecture of YOLOV8 to form a new attention mechanism module called C2F-FE. This module enhances the model’s perception of safety helmet targets by fusing feature information from different levels and incorporating attention mechanisms while reducing computational overhead. Furthermore, the model is trained and optimized on publicly available safety helmet datasets. Experimental results demonstrate that the improved model exhibits stronger robustness, achieving an accuracy rate of 94.6% and a mAP50 of 99.1% for safety helmet detection in complex construction scenarios, with an inference time of 0.7 ms.
Master-slave Control Strategy of Surgical Robots for Gastrointestinal Surgery
Authors: Ren Lin , Kong Kang , Dai YingKai , Liang Tao 
Published: November 2023

Abstract
The precise construction of the master-slave control strategy is a fundamental requirement for robot-assisted surgery. In this study, we propose a master-slave control strategy for gastrointestinal surgical robots based on the natural orifice transluminal endoscopic surgery surgical robot developed by Tianjin University. The forward and inverse kinematics of the continuum mechanism at the slave manipulator are investigated. A master-slave coordinate mapping system for surgical robots is established by analyzing the kinematic characteristics of the master and slave manipulators. Additionally, an intuitive mapping algorithm and a control flowchart for the robot are developed. The proportional control and incremental control strategies tailored for natural orifice transluminal endoscopic surgery procedures are proposed based on intuitive mapping control. Finally, a master-slave trajectory tracking experiment is performed to validate the feasibility of the proposed master-slave control strategy.
Research on Robotic Flexible Peg-in-hole Assembly Technology
Authors: Dai Na , Ge Hailong , Cheng Wei , Zhang Yu , Lu Wenyi 
Published: November 2023

Abstract
Peg-in-hole assembly is one of the more typical tasks in the machining industry. Although robotic peg-in-hole assembly technology has been widely used in practical production, achieving efficient and reliable flexible peg-in-hole assembly by robots still poses significant challenges. The analysis of robotic flexible peg-in-hole assembly from a control point of view is presented. Firstly, the process of robot flexible peg-in-hole assembly is introduced. Then the application of traditional model-based assembly control is described, on the basis of which learning-based intelligent assembly control is discussed. The combination of intelligent methods and traditional methods will become an important future development trend, injecting new vitality into robotic flexible peg-in-hole assembly.