bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics and associations between sexting and high-risk sexual behaviors among college students in Jiangxi Province, China
Authors: Huang Duoqin , Wan Xin , Wang Hong , Chen Jiangqing , Zheng Yanan , Li Li , Gong Xi 
Published: February 2025

Background To explore the characteristics, influencing factors, and associations between sexting and high-risk sexual behaviors among college students in Jiangxi Province, China, providing a basis for promoting sexual health education and preventing high-risk sexual behaviors among college students. Methods A convenient sampling method was used to conduct an anonymous survey on 13,976 students from 15 universities in Jiangxi Province from November to December 2023. Chi-squared tests and binary logistic regression analyses were employed to investigate the influencing factors and associations between sexting and high-risk sexual behaviors. Results The reported rates of sexting and high-risk sexual behaviors among college students were 12.7% and 11.0%, respectively. Regression results indicated that the influencing factors for both behaviors included sex, grade, major, sexual orientation, knowledge of HIV/AIDS and family upbringing methods (P-values all <0.05). College students with experiences of sexting were more likely to engage in high-risk sexual behaviors (OR 16.260, 95% CI: 14.032–18.842), including unprotected sex (OR 8.140, 95% CI: 6.994–9.472), multiple sexual partners (OR 8.215, 95% CI: 6.394–10.554), casual sex (OR 17.104, 95% CI: 13.302–21.994) and commercial sex (OR 40.910, 95% CI: 26.660–62.776), and were also less likely to intend to use condoms in the future (OR 1.391, 95% CI: 1.171–1.652). Conclusion The prevalence of sexting and high-risk sexual behaviors among college students in Jiangxi Province should not be overlooked, and those with sexting experiences are more likely to engage in high-risk sexual behaviors. Educators should enhance sexual health education and safety control of sexual behaviors among college students.
“So, you’re speaking Dutch?”
Authors: De Soete Alexander 
Published: February 2025

Abstract

Lipsky’s (1980) notion of street-level bureaucracy can be used as a novel approach to studying the multilingual practice dimensions of English-medium instruction (EMI) classroom interaction. Existing work has demonstrated how Lipsky’s framework allows us to carefully consider on-the-ground language policy construction by EMI content lecturers, painting a picture of the lecturer as a lens through which institutional language policy is reflected or — at times — refracted in situated classroom practice. This requires an interactional perspective sensitive to the management of frame and participant alignment. In this article, I investigate how negotiation of language policy is brought about interactionally in the EMI classroom. The dataset contains 23 classroom recordings which capture the interactions between six lecturers and their students in two EMI engineering programs at a Belgian university. The data are analyzed interactionally through a combination of Lipsky’s model and frame analysis. This interdisciplinary approach brings into focus the interactional dynamics and distribution of negotiation sequences. In this way, this article contributes to our understanding of the agentive role of the EMI content lecturer while simultaneously valorizing context-sensitive translanguaging in the globalized linguistic-educational practice of English-medium instruction.
Citizens’ polarised discourses on climate change and mobility
Authors: Morales-López Esperanza , Floyd Alan 
Published: February 2025

Abstract
The purpose of this paper is to analyse a conflict between a group of Barcelona residents and the then mayor, Ada
Colau, concerning the transformation of an area of the city into a green zone, which would involve the loss of public parking
spaces. For data-gathering and analysis we have used ethnographic research and Critical Discourse Analysis. Our analysis reveals
that the majority of citizens involved, by means of the different resources (ontological metaphors and various types of
arguments), activate different frames with the aim of disputing the mayor’s standpoint. Our interpretation demonstrates that, from
a position of climate change denial, these citizens do not explicitly deny scientific evidence, but do oppose radical changes to
their own neighbourhood and lifestyle. Finally, we conclude with a brief reflection on the methodology used and on the need for a
greater interconnection between discourse analysis and other social disciplines related to this topic.
Filtering attitude series data and extracting angular rates with moving-window least-squares polynomial fitting
Authors: Tang Conghao , Chang Guobin , Zhang Siyu 
Published: February 2025

Abstract
Data series of attitudes determined using vector measurements are widely available in many satellite missions. These data series are reprocessed to provide filtered attitude estimates with improved accuracies. A moving-window polynomial fitting method is employed. First, the attitude data within a moving window are transformed to small-magnitude relative attitudes with respect to a chosen reference frame. Second, these relative attitudes, often unit-norm quaternions, are reparameterized as Gibbs vectors. Third, the parameters of the empirically chosen polynomials representing the kinematics of the relative Gibbs vectors within the moving window are estimated with least-squares method. Fourth, filtered attitudes can be readily constructed with the Gibbs vectors calculated with the polynomial model at any time instant not necessarily those of the data points. Furthermore, with the Gibbs vectors and their derivatives calculated using the polynomial model, the angular rates can be readily extracted also at any time instant, as byproducts. Experiments with simulation and real data are conducted; and the results show the performance of the proposed method in terms of both attitude filtering and angular rates extraction.
POF helical structure: a non-contact approach for wide-range force measurements based on the coupling method
Authors: Hussain Sadam , Ghaffar Abdul , Kazi Mehar Ali , Alshehri Hashim M , Jianping Yu , Abbasi Shaista Jabeen , Mehdi Irfan , Shah Intizar Ali , Hakro Maqsood , Ali Ayaz 
Published: February 2025

Abstract
This study proposes a non-contact force-measuring sensor design that utilizes a polymer optical fiber. The sensor design uses two separate fibers (i.e. sensor input and sensor output fibers). The sensor input fiber is helically wound around a supportive circular pipe, with aim of creating bend losses at every bend loop. The sensor output fiber gains advantages by coupling the variable optical power from different bend loops of the sensor input fiber. The variable amount of optical power coupling is directly associated with the applied force on the spring, which serves as an intermediary in transferring force to the sensor. Further, for variable ranges of forces, three different springs are used, which sustain variable force ranges (0–20, 0–40 and 0–60 N), respectively. The proposed sensor design addresses the critical need for force sensors capable of effectively measuring force across a wide dynamic range. The results of this study support the sensor design, which has a wide range of force-measuring capabilities, from low to high, with a close and repeatable response. The low-range force measurement (0–20 N) indicates the sensor’s high sensitivity of 0.567 µW N−1. Further, the sensor is also capable of a large force measuring range (0–60 N) with sensitivity of 0.189 µW N−1.
Temporal and spatial characteristics of a 13.6 nm EUV light source
Authors: Durkan Stephen M , Varvarezos Lazaros , Butler Aoife P B , Murray Gemma , Campbell James N , Cummins Seamus , McGarry Ross J , Shaw Matthew T , Pryce Mary T , Costello John T 
Published: February 2025

Abstract
Spatial and temporal characteristics of a table-top scale laser produced plasma formed on the surface of a tungsten target are reported. The emitted radiation was spectrally filtered to a narrow band of ca. 1 nm full width half maximum (FWHM) centred on a wavelength of 13.6 nm using a combination of Zr thin film transmission filters and a Mo–Si multilayer mirror (MLM). The temporal profile of the 13.6 nm flux was measured for different laser fluences while the spatial profile of the emission was sampled in one region using a back illuminated charge coupled device (CCD), both done with the aid of a flat MLM. The emitting plasma was imaged at 13.6 nm by replacing the flat MLM with a curved mirror which returned an extreme ultraviolet (EUV) source size of up to ca. 130 µms. The peak flux was estimated to be ca. 1014 photons nm−1 sr−1. For comparison purposes the W target was replaced by a solid Sn target which produced, on average, almost double the EUV flux at 13.6 nm, albeit with greater shot to shot jitter.
A neighbor surface variation variance (NSVV) based key points selection method for the pose estimation of unstructured terrain
Authors: Su Lixuan , Li Xiaolu , Hu Haidong , Zhou Yier , Yin Fang 
Published: February 2025

Abstract
Proximity navigation of asteroid exploration missions requires high accurate point cloud registration for pose estimation of unstructured terrain. To enhance the registration accuracy, a neighbor surface variation variance (NSVV) based key points selection method is proposed to accurately extract key points and improve the pose estimation accuracy of the unstructured terrain. The proposed method extracts key points by top-percentage NSVV ranking in ascending order, which generates high-quality matching pairs with high data removal percentage and reduces the registration time-consuming. The matching pairs are further used for the coarse and fine registration to obtain the optimal pose estimation. The simulation experiment results show that the rotation error and translation error with 90% data removal percentage are 0.692° and 0.0513 m, which can be reduced by 59.44% and 45.48%, respectively. The proposed method offers an efficient, accurate and practical solution for unstructured terrain target pose estimation, paving the way for further advancements in proximity navigation of asteroid exploration missions.
Sample-imbalanced wafer map defects classification based on Jacobian regularized generative adversarial network
Authors: Li Jialin , Tao Ran , Li Shirong , Li Yuxiong , Huang Xianzhen 
Published: February 2025

Abstract
Wafer defect classification is a key component in the wafer manufacturing process. Under stable operating conditions and sufficient test data, an effective wafer defect classification model can help engineers quickly and accurately judge and solve problems in the production process. However, the complexity of the production process leads to serious imbalance between various types of defects, which greatly reduces the performance of traditional defect classification method. This paper proposes a Jacobi regularized generative adversarial network (JRGAN) for sample imbalanced wafer image defect generation. The JRGAN architecture includes a generator, a discriminator, a Jacobi regularization term, and an auxiliary classifier. The model takes random noise and sample labels as input, and integrates the Jacobi regularization term into the generator to minimize the statistical difference between the generated image and the real image. The regularization term in the discriminator improves the robustness of the network training process. This paper uses the MIR-WM811K and MixedWM38 datasets collected from real factories to verify the effectiveness of the JRGAN model proposed in this paper on the residual neural network (ResNet). Experimental results show that the proposed method can improve the quality of generated samples and improve the accuracy of wafer defect classification. The defect classification accuracy in the MIR-WM811K and MixedWM38 datasets is 97.14% and 97.38%, which is 2.21% and 0.29% higher than that of the original datasets.
Engineered ultra-wide bandgap Sm2O3/MWCNT nanocomposites for deep-ultra violet photodetectors
Authors: Sharaf Afsal , Nair Shantikumar , Thoutam Laxman Raju 
Published: February 2025

Abstract
The current work focuses on the synthesis and control of cubic vs monoclinic phase structures of Sm2O3 via., cost-effective solution-based sol–gel technique. The structural analysis of the as-synthesized Sm2O3 powder reveals the phase-change from initial mixture of cubic and monoclinic phases (82:18) to almost cubic phase (96:4), with increase of polyethylene glycol 600 additive from 2% to 25% respectively. The dark-current of the films made from as-synthesized Sm2O3 powder revealed no measurable current, indicates its high defect tolerance against growth conditions. The multi-walled carbon nanotubes (MWCNT) are added as conducting scaffold into Sm2O3 insulating matrix, to facilitate carrier transport for light-generated carriers, upon UV exposure. The dark-current of the photodetectors increased from nano-ampere to milli-ampere range with increase in MWCNT weight concentration from 1% to 10% respectively. A nominal photo-to-dark current ratio (PDCR) of around 2 is observed for different MWCNT concentrations in Sm2O3 on glass substrates, upon UV light exposure. The PDCR is further increased to a maximum of 5.6 with the increase in grain-structure of Sm2O3 within the nanocomposite via., substrate-engineering. The observed PDCR of 5.6 is the first reported value (to the best of our knowledge) for Sm2O3-based nanocomposite material towards deep-UV photodetector applications. The experimental results suggest incorporation of conductive nanocomposites into ultra-wide bandgap oxide semiconductor materials seems to be a feasible and promising approach for the design of future cost-effective deep-UV photodetectors.
CP asymmetry from the effect of the isospin symmetry breaking during B-meson decay
Authors: yao wan-ying , Lü Gang , Guo Xin-Heng 郭新恒 , Ou Hai-Feng 
Published: February 2025

Abstract
The direct CP asymmetry in quasi-two-body decays of $B \rightarrow (V\rightarrow \pi^{+}\pi^{-})P $ is investigated in the perturbative QCD method, where P represents a pseudoscalar meson and V refers to $\rho$, $\omega$ and $\phi$ mesons, respectively.	We present the amplitude of the quasi-two-body decay process and investigate the effects of mixed resonances involving $\rho^{0}-\omega$, $\rho^{0}-\phi$ and $\omega-\phi$, while considering the impact of isospin symmetry breaking. We observe a significant CP asymmetry when the invariant mass of the $\pi^{+}\pi^{-}$ pair within the resonance ranges of $\rho$, $\omega$ and $\phi$ mesons. Consequently, we proceed to quantify the regional CP asymmetry in these resonance regions. A significant difference is observed when comparing results obtained with and without the interference of the three vector mesons and isospin conservation.	The CP asymmetry results obtained from the three-body decay process, without interference due to isospin conservation by the perturbative QCD method, are in agreement with the newly updated data acquired by the LHCb experiment. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.
Master classes of the tenth international brain–computer interface meeting: showcasing the research of BCI trainees
Authors: Cernera Stephanie , Gemicioglu Tan , Berezutskaya Julia , Csaky Richard , Verwoert Maxime , Polyakov Daniel , Papadopoulos Sotirios , Spagnolo Valeria , Astudillo Juliana Gonzalez , Kumar Satyam , Alawieh Hussein , Kelly Dion , Keough Joanna R G , Minhas Araz , Dold Matthias , Han Yiyuan , McClanahan Alexander , Mustafa Mousa , Gonzalez-Espana Juan Jose , Garro Florencia , Vujic Angela , Kacker Kriti , Kapeller Christoph , Geukes Simon , Verbaarschot Ceci , Wimmer Michael , Sultana Mushfika , Ahmadi Sara , Herff Christian , Sburlea Andreea Ioana , Jeunet Camille , Thompson David E , Semprini Marianna , Andersen Richard , Stavisky Sergey , Kinney-Lang Eli , Lotte Fabien , Thielen Jordy , Chen Xing , Peterson Victoria , Gunduz Aysegul , Vaughan Theresa , Valeriani Davide 
Published: February 2025

Abstract
The Tenth International brain–computer interface (BCI) meeting was held June 6–9, 2023, in the Sonian Forest in Brussels, Belgium. At that meeting, 21 master classes, organized by the BCI Society’s Postdoc & Student Committee, supported the Society’s goal of fostering learning opportunities and meaningful interactions for trainees in BCI-related fields. Master classes provide an informal environment where senior researchers can give constructive feedback to the trainee on their chosen and specific pursuit. The topics of the master classes span the whole gamut of BCI research and techniques. These include data acquisition, neural decoding and analysis, invasive and noninvasive stimulation, and ethical and transitional considerations. Additionally, master classes spotlight innovations in BCI research. Herein, we discuss what was presented within the master classes by highlighting each trainee and expert researcher, providing relevant background information and results from each presentation, and summarizing discussion and references for further study.
Latent alignment in deep learning models for EEG decoding
Authors: Bakas Stylianos , Ludwig Siegfried , Adamos Dimitrios A , Laskaris Nikolaos , Panagakis Yannis , Zafeiriou Stefanos 
Published: February 2025

Abstract

Objective. Brain–computer interfaces (BCIs) face a significant challenge due to variability in electroencephalography (EEG) signals across individuals. While recent approaches have focused on standardizing input signal distributions, we propose that aligning distributions in the deep learning model’s feature space is more effective for classification. Approach. We introduce the Latent Alignment method, which won the Benchmarks for EEG Transfer Learning competition. This method can be formulated as a deep set architecture applied to trials from a given subject, introducing deep sets to EEG decoding for the first time. We compare Latent Alignment to recent statistical domain adaptation techniques, carefully considering class-discriminative artifacts and the impact of class distributions on classification performance. Main results. Our experiments across motor imagery, sleep stage classification, and P300 event-related potential tasks validate Latent Alignment’s effectiveness. We identify a trade-off between improved classification accuracy when alignment is performed at later modeling stages and increased susceptibility to class imbalance in the trial set used for statistical computation. Significance. Latent Alignment offers consistent improvements to subject-independent deep learning models for EEG decoding when relevant practical considerations are addressed. This work advances our understanding of statistical alignment techniques in EEG decoding and provides insights for their effective implementation in real-world BCI applications, potentially facilitating broader use of BCIs in healthcare, assistive technologies, and beyond. The model code is available at https://github.com/StylianosBakas/LatentAlignment
Low-carbon economic dispatch of regional microgrids with flexible loads
Authors: Xue Mengge 
Published: February 2025

Abstract
With the advancement of sustainable development initiatives, clean energy microgrids are increasingly recognized as a key strategy for achieving carbon neutrality in power systems. Leveraging the characteristics of flexible loads, including load cutting, load shifting and transfer, demand response, and low-carbon economic dispatch optimization have been implemented in wind-solar-natural gas hybrid energy systems. A microgrid dispatch model aimed at optimizing economic performance is developed, incorporating factors such as operating costs, compensation costs, and carbon trading costs. The study investigates how the optimal scheduling of flexible loads under a carbon trading mechanism can contribute to both emission reduction and cost savings. Results demonstrate that optimized dispatch can reduce total daily costs by 11.21%.
Physical simulation test of hydraulic fracture propagation in deep shale reservoir under in-situ temperature and stress conditions
Authors: Huang Haoyong , Guo Wuhao , Chen Liqing , Wang Shouyi , Guo Yintong , Sun Qimeng , Chen Junjie 
Published: February 2025

Abstract
Attributed to the extreme geological environment of deep shale reservoirs, characterized by high temperature and stress, hydraulic fracturing reservoir stimulation often faces a series of problems, such as high breakdown pressure and unclear hydraulic fracture propagation law. The purpose of this study is to restore the propagation and evolution characteristics of hydraulic fractures in a deep shale reservoir environment, and to clarify the difficulty of opening hydraulic fractures and the law of propagation. For this purpose, outcrop cores were collected from the main shale gas-producing areas in China, and physical simulation tests of hydraulic fracturing with different displacement, temperature and stress states under in-situ temperature and stress conditions in deep shale reservoirs were carried out. The test results reveal that, within the actual in-situ reservoir environment, the fracturing pump injection curve primarily exhibits characteristics of high and low fluctuations, followed by a sustained high-pressure plateau post-peak. Notably, the post-peak fluctuations serve as a crucial indicator of increased complexity in the hydraulic fracture network. As the temperature increases, the breakdown pressure gradually decreases in a linear manner. The increase in displacement will enhance the thermal shock effect and aggravate the decrease of breakdown pressure. Stimulated rock area (SRA) is an effective index to measure the complexity of hydraulic fractures. The SRA of a single fracture is close to 1, while that of a complex fracture is between 1.5 and 2.
Research on solar air heaters with longitudinal baffles: effects of geometry and reynolds number
Authors: Li Zhen 
Published: February 2025

Abstract
The collection efficiency and pressure loss have always been essential research issues for SAH (solar air heater). In order to further improve the heat transfer performance of SAH, the longitudinal baffles SAH model is established using CFD (computational fluid dynamics) based on the transverse baffles SAH. The structure, length-peak radio, and air Reynolds number of longitudinal baffles SAH are studied. It is found that the heat transfer efficiency of the longitudinal baffles SAH is 10% higher. The longitudinally curved baffles have the highest heat transfer efficiency of about 67.57%. When the length-peak ratio is 2.3, SAH has the highest heat transfer efficiency. As this Reynolds number of air increases, both the heat transfer efficiency and pressure loss in SAH increase. Curve fitting is performed on the pressure loss, and the fitting degree of the correlation equation is 0.99.