bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single Incision Dual Cover with Temporoparietal Fascial Flap for Exposed Cochlear Implant: A Novel Take on a Workhorse Flap
Authors: Begum U. Rasheedha , Kandasamy Mahadevan , Christabel Prethee Martina 
Published: January 2024

AbstractCochlear implant surgeries have become increasingly common in India, leading to a rise in complications such as cochlear implant exposure. To address this issue, we present a novel technique involving a single incision dual cover using the temporoparietal fascial flap (TPFF) and skin flap to give durable cover for exposed cochlear implants.
Materials and Methods A retrospective study was conducted between December 2019 and December 2022 on patients who underwent the dual flap procedure for exposed cochlear implants.
Results The average defect size was 2 × 2 cm, and the average length of hospital stay was 10 days. Fourteen skin flaps were closed primarily, while two required skin grafting for donor site closure. At the time of discharge, all wounds showed successful healing with intact skin coverage over the cochlear implant device site. The average follow-up period was 12 months, during which two patients had donor site scar alopecia, while others had adequate hair growth masking the scar. All patients consistently used their cochlear implants.
Conclusion Our single-incision, dual cover TPFF + skin flap technique offers a reliable and innovative solution for managing exposed cochlear implants. With successful implant salvage and favorable postoperative outcomes, this approach demonstrates the versatility and reliability of the TPFF as an excellent option for reconstructive surgeons dealing with cochlear implant complications.
Liberal and illiberal industrial policy in the EU: the political economy of building the EV battery value chain in Sweden and Hungary
Authors: Győrffy Dóra 
Published: January 2024

AbstractIn the context of an increasingly ambitious European Union (EU) industrial policy and the transition to electromobility, the main objective of the article is to uncover the interaction between the supranational level and domestic policies through examining the buildup of the electric vehicle (EV) battery value chain in illiberal Hungary and liberal Sweden. The study analyses these diverse cases through the lenses of comparative political economy. How do European industrial policy objectives translate into national policies under widely different political conditions? How do the different translations impact on the original objectives of EU policy? Through using a structured-focused comparison, the paper argues that the building of the EV battery industry implies the entrenchment of existing models of capitalism in both cases. Liberal democracy is only compatible with the coordinated market economy model of Sweden, while in Hungary the illiberal regime and the dependent market economy model reinforce one another in face of growing public recognition of the disadvantages of dependency—misallocation of resources, environmental damage, and limits to upgrading. EU strategic objectives are served only by the Swedish model, while the Hungarian model leads to deepening institutional cleavages within the EU and implies growing dependence on Russia and China.
Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining
Authors: Fan Jun , Peng Lijuan , Chen Tinggui , Cong Guodong 
Published: January 2024

AbstractThis study endeavors to delve into the intricate study of public preferences surrounding green consumption, aiming to explore the underlying reasons of its low adoption using social media data. It employs the Elaboration Likelihood Model (ELM) and text data mining to examine how information strategies from government, businesses, and media influence consumer attitudes toward green consumption. The findings reveal that women and individuals in economically developed regions show more concerns for green consumption. The public responds positively to government policies and corporate actions but negatively to media campaigns. Engagement with information and emotional responses influence attitudes toward green consumption. Subsequently, this study offers strategies for policymakers and businesses to enhance consumer attitudes and behaviors toward green consumption, promoting its development. Moreover, the innovative aspect of this study is the combination of ELM theory and text data mining techniques to monitor public attitude change, applicable not only to green consumption but also to other fields.
A decade of love: mapping the landscape of romantic love research through bibliometric analysis
Authors: Han Yixue , Luo Yulin , Chen Zhuohong , Gao Nan , Song Yangyang , Liu Shen 
Published: January 2024

AbstractGiven the limited availability of bibliometric and visual analysis on the topic of romantic love, the primary objective of the current study is to fill this gap by conducting a comprehensive visual analysis of relevant literature. Through this analysis, the current study aimed to uncover current research trends and identify potential future directions in the field of romantic love. The current study’s search criteria were met by an impressive 6858 publications found in the Web of Science database for the period between 2013 and 2022. A thorough analysis was conducted on the bibliographic visualization of the authors, organizations, countries, references, and keywords. Over time, there has been a remarkable surge in the number of significant publications. Among the authors in the field of romantic love, Emily A. Impett has emerged as the most prolific. The Journal of Social and Personal Relationships is indeed one of the top journals that has published a significant number of articles on the topic of romantic love. During the preceding decade, the University of California System emerged as a prominent producer of publications centered around romantic love, solidifying the United States’ position as a dominant player in this field. In recent times, there has been a significant surge in the popularity of keywords such as “same-sex,” “conflict resolution,” and “social relationships” within academic literature. These topics have experienced a burst of attention, as evidenced by a substantial increase in references and citations. Through the use of visualization maps and analysis of key publications, the current study offers a comprehensive overview of the key concepts and potential avenues for future research in the field of romantic love. Gaining a deep understanding of the complex dynamics and societal implications of romantic love has been instrumental in formulating policies that embody increased compassion and support. As a result, these policies have played a pivotal role in fostering resilient familial ties and contributing to the enduring stability and prosperity of our social fabric.
Regulating inbound foreign direct investment in a world of hegemonic rivalry: the evolution and diffusion of US policy
Authors: Li Jing , Shapiro Daniel , Ufimtseva Anastasia 
Published: January 2024

AbstractWe employ insights from the international relations literature to offer a novel perspective on the regulation of inbound foreign direct investment (FDI). We argue that in a world of hegemonic rivalry, the incumbent, when it perceives a threat, tends to employ both internal and external policy mechanisms to maintain the balance of power. Specifically, in response to China’s rise, the US expanded its internal national security review regulations, moving from a primary focus on FDI by state-owned enterprises (SOEs) to including Chinese investments in a broad set of strategic industries, regardless of ownership. External mechanisms include the diffusion of those internal regulations to allied countries, and we focus on a specific Alliance, the Five Eye (FVEY) intelligence alliance. Empirically, we combine natural language processing of keywords with close reading of selected documents to analyze FDI regulations in the US and FVEY allies. The results suggest that the US is an early adopter of both SOE and broader FDI regulations targeting strategic sectors for national security considerations. While SOE regulations exhibit relatively limited evidence of convergence, we find a more significant and recent convergence between the US and its alliance partners on the national security reviews of FDI in strategic sectors.
Comparative analysis of phase noise for different configurations of Bragg lattice for an atomic gravimeter with Bose–Einstein condensate
Authors: Dutta Pranab , Maurya S. Sagar , Biswas Korak , Patel Kushal , Rapol Umakant D. 
Published: January 2024

We perform a comparative study of the phase noise induced in the lasers used for Bragg diffraction in a Bose–Einstein condensate-based quantum gravimeter where the Bragg beams are generated using two different configurations. In one of the configurations, the Bragg beams that form the moving optical lattice are generated using two different acousto-optic modulators. In the second configuration, the Bragg beams are generated using a single acousto-optic modulator carrying two phase-locked frequencies. The second configuration shows a suppression of the phase noise by a factor of 4.7 times in the frequency band up to 10 kHz, the primary source of noise, which is the background acoustic noise picked up by optical components and the optical table. We report a short-term sensitivity of 1360μGal/Hz and upon integration over 200 s, achieve a resolution of 99.7 μGal for an interferometric duration of 10 ms.
An enhanced sparse autoencoder for machinery interpretable fault diagnosis
Authors: Niu Maogui , Jiang Hongkai , Wu Zhenghong , Shao Haidong 
Published: January 2024

Abstract
The interpretability of individual components within existing autoencoders remains insufficiently explored. This paper aims to address this gap by delving into the interpretability of the encoding and decoding structures and their correlation with the physical significance of vibrational signals. To achieve this, the Sparse Coding with Multi-layer Decoders (SC-MD) model is proposed, which facilitates fault diagnosis from two perspectives: the working principles of the model itself and the evolving trends of fault features. Specifically, a sparse coding protocol to prevent L1-norm collapse is proposed in the encoding process, regularizing the encoding to ensure that each latent code component possesses variance greater than a fixed threshold on a set of sparse representations given the input data. Subsequently, a multi-layer decoder structure is designed to capture the intricate mapping relationship between features and fault patterns. Finally, the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) is employed as the solver for the SC-MD model, enabling end-to-end updates of all parameters by unfolding FISTA. The coherent theoretical framework ensures the interpretability of SC-MD. Utilizing aeroengine bearing data, we demonstrate the exceptional performance of our proposed approach under both normal conditions and intense noise, as compared to state-of-the-art deep learning methods.
Anodic TiO2 nanotubes for hydrophobic coatings and photo-electrochemical water splitting application
Authors: Gousiya Bhanu Ganganapalli , Manmadha Rao B 
Published: January 2024

Abstract
In recent years, anodic TiO2 nanotubes (TNTs) have been considered as one of the most promising material in the field of photoelectrochemical water splitting, hydrophobic coatings, solar cells etc owing to their outstanding properties such as unidirectional charge transfer, high surface to volume ratio along with the non-toxicity, corrosion resistance, high thermal and chemical stabilities. In the present study, TNTs were successfully fabricated using a simple and low cost electrochemical anodization technique at 30 V and 60 V. The morphological and structural information of the TiO2 nanotube arrays were investigated through SEM and XRD analysis. This analysis revealed that fabricated nanotubes were having a set of length and pores diameters (2.5 μm, 70 nm), (17 μm, 120 nm) respectively for 30 V TNTs and 60 V TNTs samples. Electronic band gap and surface functional groups of TNTs were examined by diffuse reflectance and attenuation total reflection spectroscopy studies. This analysis divulged that fabricated sample surface was free from chemicals and energy band gap found to be around 3.2 eV. The contact angle measurement revealed that as-fabricated 30 V TNTs sample has shown an enhanced hydrophobic nature (135.9°) and whereas annealed 60 V TNTs sample has shown an enhancement in the photocurrentdesnity (70.7 μA.cm−2). These findings show that fabricated TNTs can be used in hydrophobic coatings along with photocatalytic applications.
A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms
Authors: Li Guoyan , Xu Qianqian , Gao Lin 
Published: January 2024

Abstract
Remote sensing images have been widely used in the military and other areas because of their rich perceptional data. This makes their visual security critical for practical usage. To address this challenge, an enhanced image encryption scheme is proposed. In the scrambling phase, n bands of remote sensing images undergo Arnold double-bit-level permutation. This reduces not only the pixel correlation in each image plane but also between each frequency band.To enhance security, an RNA crossover rule (RNACMO) is introduced. The RNA image is divided into RNA single strands of different lengths using chaotic sequences, and different crossover methods, including single-point and uniform, are adaptively selected according to the number of RNA single strands. RNACMO significantly improves the security level of the scheme. An improved immune algorithm (IIA) is exploited to optimize chaotic function sequences, which improves the chaotic property of the scheme. In experiments, the proposed algorithm achieves average values of 99.6094% for NPCR, 33.4635% for UACI, and 26.7712% for BACI in encrypted remote sensing images, indicating stronger security and better resilience against attacks compared with other encryption algorithms for remote sensing images.
Analysis of anode surface roughness influence on heaterless hollow cathode discharge
Authors: Hsieh Jordan H , Huang Ping-Han , Huang Yi-Lung , Juwantono Heri , Li Yueh-Heng 
Published: January 2024

Abstract
This research delves into the influence of cylindrical and planar anode surface roughness on heaterless hollow cathode discharge characteristics. Three surface roughness levels, Ra 1.6 μm, Ra 3.2 μm, and Ra 6.4 μm, along the cylindrical anode’s azimuthal direction and the planar anode’s radial direction, have been selected and modified by the machining process. A central finding is the correlation between the discharge voltage and anode surface roughness. As the roughness increases, cylindrical and planar anodes require less discharge voltage to sustain the primary discharge. This reduction is likely due to the enhanced surface area from the roughness, which aids in electron current collection. The discharge voltage oscillations appear inversely related to the surface roughness of planar anodes, which may be associated with changes in the neutral gas density gradient between the planar anode and the cathode. In contrast, cylindrical anodes show fewer effects from their surface roughness, likely due to the distinct neutral gas flow dynamics. These findings offer insights into standardizing hollow cathode testing and allow future research to explore these interactions more deeply.
Two-particle Hadamard walk on dynamically percolated line and circle
Authors: Parýzková M , Štefaňák M , Novotný J , Kollár B , Kiss T 
Published: January 2024

Abstract
Asymptotic dynamics of a Hadamard walk of two non-interacting quantum particles on a dynamically percolated finite line or a circle is investigated. We construct a basis of the attractor space of the corresponding random-unitary dynamics and prove the completeness of our solution. In comparison to the one-particle case, the structure of the attractor space is much more complex, resulting in intriguing asymptotic dynamics. General results are illustrated on two examples. First, for circles of length not divisible by 4 the boundary conditions reduces the number of attractors considerably, allowing for fully analytic solution. Second, we investigate line of length 4 and determine the asymptotic cycle of reduced coin states and position distributions, focusing on the correlations between the two particles. Our results show that a random unitary evolution, which is a combination of quantum dynamics and a classical stochasticity, leads to correlations between initially uncorrelated particles. This is not possible for purely unitary evolution of non-interacting quantum particles. The shared dynamically percolated graph can thus be considered as a weak form of interaction.
A lightweight multi-target ship tracking model based on Yolov7
Authors: Cen Jian , Chen Jia-Hao , Liu Xi , Li Jia-Xi , Li Hai-Sheng , Huang Wei-Sheng , Kang Jun-Xi 
Published: January 2024

Abstract
Ship multi-target tracking has long been a topic that has attracted researchers from different fields. Currently, the following challenges still exist in ship multi-target tracking. Ships obscuring each other leads to an increase in misdetections and omissions in the algorithm. Some algorithms have a large number of parameters and computations, which are not favourable for deployment into devices. As a result, we present a novel multi-target tracking technique that combines the Yolov7 detector with Kalman filtering. First, the retrieval of fine ship details in the video is accomplished by employing the CNNS(Convolutional Neural Networks) + Transformer + CNNS architecture. Second, we introduce a novel lightweight module known as Light-SPP, which aims to integrate ship features. Finally, Wise-iou Loss, which increases the predictability of ship position, is shown as the detector’s localization loss function. The experimental results show that the number of parameters and computation of the model decrease by 11.0% and 17.7% respectively, and the continuous tracking accuracy and tracking and positioning accuracy improve by 17.7% and 7.4% respectively. In summary, our proposed ship multi-target tracking algorithm mainly solves the problems of low tracking accuracy and large computational volume, and has high engineering application prospects in the field of water transport.
Model-independent reconstruction of the primordial curvature power spectrum from PTA data
Authors: Yi Zhu , You Zhi-Qiang , Wu You 
Published: January 2024

Abstract
Recently released data from pulsar timing array (PTA) collaborations provide strong evidence for a stochastic signal consistent with a gravitational-wave background, potentially originating from scalar-induced gravitational waves (SIGWs). However, in order to determine whether the SIGWs with a specific power spectrum of curvature perturbations can account for the PTA signal, one needs to estimate the energy density of the SIGWs, which can be computationally expensive.
In this paper, we use a model-independent approach to reconstruct the primordial curvature power spectrum using a free spectrum cross over from 101 Mpc-1 to 1020 Mpc-1 with NANOGrav 15-year data set.
Our results can simplify the task of assessing whether a given primordial curvature power spectrum can adequately explain the observed PTA signal without calculating the energy density of SIGWs.
Phenomenology of DSR-relativistic in-vacuo dispersion in FLRW spacetime
Authors: Amelino-Camelia G. , Frattulillo D. , Gubitosi G. , Rosati G. , Bedić S. 
Published: January 2024

Abstract
Studies of in-vacuo dispersion are the most active area of quantum-gravity phenomenology.
The way in which in-vacuo dispersion produces redshift-dependent corrections to the time of flight of astrophysics particles depends on the model-dependent interplay between Planck-scale effects and spacetime curvature/expansion, and we here derive the most general formula for the leading order redshift-dependent correction to the time of flight for the scenario in which relativistic symmetries are deformed at the Planck scale (DSR) for the constant-curvature case.
We find that, contrary to the broken symmetries scenario (LIV), where in principle any arbitrary form of redshift dependence could be allowed, for the DSR scenario only linear combinations of three possible forms of redshift dependence are allowed.
We also derive a generalization of our results to the FRW case, and
discuss some specific combinations of the three forms of redshift dependence
whose investigation might deserve priority from the quantum-gravity perspective.
Correlations of baryon and charge stopping in heavy ion collisions*
Authors: Lv 吕 Wendi 文棣 , Li 李 Yang 洋 , Li 李 Ziyang 子阳 , Ma 马 Rongrong 荣荣 , Tang 唐 Zebo 泽波 , Tribedy Prithwish , Tsang Chun Yuen , Xu 许 Zhangbu 长补 , Zha 查 Wangmei 王妹 
Published: January 2024

Abstract
Baryon numbers are theorized to be carried by valence quarks in the standard QCD picture of the baryon structure. Another theory proposed an alternative baryon number carrier, a non-perturbative Y-shaped configuration of the gluon field, called the baryon junction in the 1970s. However, neither of these theories has been verified experimentally. Recently, searching for the baryon junction by investigating the correlation of net-charge and net-baryon yields at midrapidity in heavy-ion collisions has been suggested. This paper presents studies of such correlations in collisions of various heavy ions from oxygen to uranium with the UrQMD Monte Carlo model. The UrQMD model implements valence quark transport as the primary means of charge and baryon stopping at midrapidity. Detailed studies are also conducted for isobaric

+

and

+

collisions. We found a universal trend of charge stopping with respect to baryon stopping and discovered that the charge stopping is always greater than the baryon stopping. This study provides a model baseline in valence quark transport for what is expected in net-charge and net-baryon yields at the midrapidity of relativistic heavy-ion collisions.
One-loop contributions for
and
in the
extension of the standard model*
Authors: Tri Tran Dzung , Nguyen Thanh Huy , Phan Khiem Hong 
Published: January 2024

Abstract
We present one-loop contributions for

with

and

in the

extension of the standard model. In the phenomenological results, the signal strengths for

at the Large Hadron Collider and for

at future lepton colliders are analyzed in the physical parameter space for both the vector and chiral

models. We found that the contributions from the neutral gauge boson

to the signal strengths are rather small. Consequently, the effects will be difficult to probe at future colliders. However, the impacts of charged Higgs and CP-odd Higgs in the chiral

model on the signal strengths are significant and can be measured with the help of the initial polarization beams at future lepton colliders.