bluuebunny/crossref_metadata_2025_split huggingface dataset:
Periodontitis and Its Role in Oral Cancer Susceptibility: A Case-Control Study
Authors: Reddy Sujatha S. , N. Rakesh , Prashanth Radha , Choudhary Ruchika , S. Sruthy 
Published: November 2024

Abstract
Introduction Oral cancer and periodontitis are complex, multifactorial diseases, influenced by common risk factors such as genetic predisposition, lifestyle choices, and oral health practices. While certain studies indicate a positive correlation between periodontitis and oral cancer, the precise mechanisms and causation remain unclear.
Objective This study aims to determine if individuals with periodontitis have a heightened risk of developing oral cancer compared with those with healthy periodontal conditions.
Materials and Methods One hundred and twenty-six participants, 63 with oral cancer and 63 without oral cancer, were enrolled. A structured questionnaire was developed to gather data on demographics, socioeconomic status, lifestyle risk factors, dietary habits, periodontal condition, oral hygiene practices, and complete oral health status. Statistical analysis used chi-squared and Mann–Whitney U tests and logistic regression to understand potential influences on oral cancer development.
Results Notable associations were identified between oral cancer occurrence and specific socioeconomic factors and lifestyle behaviors, including gender, age, education level, and tobacco and alcohol usage. Average Silness and Loe plaque index values, probing pocket depth, and clinical attachment loss values were significantly higher in cases than controls. Patients with periodontitis exhibited a higher incidence of oral cancer (63.9%) compared with those without periodontitis (32.4%).A substantial majority of oral cancer patients (72.9%) exhibited stage 4 periodontitis, contrasting with controls (30.6%).
Conclusion Periodontitis emerges as a significant individual risk factor influencing oral cancer development. Rigorous monitoring is recommended for individuals with compromised periodontal health, particularly with severe periodontitis and concurrent risk factors. Prioritizing preservation of periodontal health in high-risk individuals holds promise for mitigating oral cancer–associated risks.
Xenotransplantation in the European Union: towards harmonisation and accessibility
Authors: Andriichuk Bohdan 
Published: November 2024

AbstractThe regulation of xenotransplants in the European Union has undergone significant changes, particularly with the introduction of the Reflection Paper on the Classification of Advanced Therapy Medicinal Products. This paper defines products containing animal cells or tissues for human administration as Advanced Therapeutic Medicinal Products (ATMPs). This regulatory shift extended restrictions on ATMPs to other products like animal cell/tissue transplants. This article examines the implications of this change, exploring concerns about reclassifying procedures currently in clinical practice and neglecting the nature of xenotransplants as transplants rather than medicinal products. It highlights challenges in adopting this classification, including increased costs for healthcare facilities, and sustainability concerns. Recommendations are provided, including creating separate legislation for animal cells, tissues, and organs, refining ATMP classification criteria to exempt products without genome modification, recombinant nucleic acids, substantial manipulation, or intended non-homologous use, and reducing regulatory burdens for minimally manipulated xenotransplants to facilitate access. Engaging experts and stakeholders in decision-making and balancing safety with accessibility and sustainability is advocated. The article emphasizes the need to avoid hindering the clinical translation of xenotransplants and to implement proportionate, science-based legislation that inspires global harmonization while benefiting patients.
Comparison of intermediate-range order in GeO2 glass: Molecular dynamics using machine-learning interatomic potential vs reverse Monte Carlo fitting to experimental data
Authors: Matsutani Kenta , Kasamatsu Shusuke , Usuki Takeshi 
Published: November 2024

The short-range order and intermediate-range order in GeO2 glass are investigated by molecular dynamics using machine-learning interatomic potential trained on ab initio calculation data and compared with the reverse Monte Carlo fitting of neutron diffraction data. To characterize the structural differences in each model, the total/partial structure factors, coordination number, ring size and shape distributions, and persistent homology analysis were performed. These results show that although the two approaches yield similar two-body correlations, they can lead to three-dimensional models with different short- and intermediate-range ordering. A clear difference was observed especially in the ring distributions; RMC models exhibit a broad distribution in the ring size distribution, while neural network potential molecular dynamics yield much narrower ring distributions. This confirms that the density functional approximation in the ab initio calculations determines the preferred network assembly more strictly than RMC with simple coordination constraints even when using multiple diffraction data.
Using alpacas as guardian animals in Australia: a survey of sheep producers
Authors: Matthews Paige , Doyle Emma , Doughty Amanda K. , Brown Wendy Y. , Barwick Jamie 
Published: November 2024

Context This is the first survey, to our knowledge, that examines how sheep producers in Australia use alpacas as guardian animals. Aims To document current management practices surrounding guardian alpacas to protect sheep and gain an understanding about producers’ opinions on the effectiveness of their alpacas in increasing lamb survival, and provide recommendations for producers looking to invest in guardian alpacas. Methods An online survey aimed to target sheep producers that use alpacas as guardian animals in Australia. Survey was advertised through social media and mail-out copies were sent to known producers that own guardian alpacas. Key results The majority of respondents (72%, n = 65) co-graze 1 alpaca to every 1–50 sheep, with most of respondents (54%, n = 44) introducing alpacas to their flock of sheep 10 weeks before lambing. The majority of respondents (82%, n = 74) noted that the alpacas bonded with the sheep either straight away or within 1–4 weeks, regardless of the number of alpacas placed with sheep (P < 0.001 for all alpaca to sheep ratios when comparing bonding time of <4 weeks vs >4 weeks). It was common for respondents to own castrated males aged between 2 and 5 years (58%, n = 52). Approximately half of the respondents were hobby farmers (48%, n = 56). The survey findings suggested that producers believed that alpacas are effective in protecting against foxes, but not as effective against more aggressive predators such as wild dogs. The respondents witnessed alpacas exhibiting a range of guarding behaviours, including staying close to lambs, and chasing, vocalising or killing potential threats. In total, 72% of respondents reported that their lamb survival increased after introducing alpacas and gave the animals an average rating of 7.5 of 10 in relation to their effectiveness. A total of 70 respondents (83%) stated that they would recommend alpacas as guardian animals to other producers and noted that they are highly cost-effective. Conclusions Surveyed producers consistently considered alpacas as an effective form of predator deterrent and associated their use with increasing lamb survival. Implications Lamb mortality remains a major issue in the sheep industry. This survey highlighted one form of predator deterrent that surveyed sheep producers have used in the effort to increase their lamb survival. Additionally, these findings have provided knowledge, such as how these animals are being used by the respondents and information for producers looking to invest in guardian alpacas.
Translation censorship
Authors: Karoubi Behrouz 
Published: November 2024

Abstract
The imperative significance of translation and translators, the existence of multiple synchronic translations of
the same literary works, and the stringent censorship enforced by a totalitarian theocratic regime on translators are among
numerous facets that render the Iranian context a promising subject for translational research, transcending its geographical
boundaries. However, despite the distinct peculiarities of this domain, the matter of translation censorship in Iran has not
garnered the scholarly attention it warrants. In contrast to academic literature, the issue of censorship in translation has
received relatively more substantial coverage in non-academic Persian-speaking journals and newspapers within Iran, wherein
interviews with professional translators are frequently featured. This discrepancy highlights a disconnect between academia and
the practical realities concerning the plight of translation censorship in Iran, necessitating reconciliation. Accordingly, this
paper addresses this disparity by elucidating the enigma of translation censorship in Iran, meticulously expounding its operative
mechanisms and the primary actors involved.
Paratextual framing of trans-edited Saudi news reports on the BBC and the Xinhua
(2023)
Authors: BinSultan Nora , Alangari Eithar 
Published: November 2024

Abstract
Since the launch of Vision2030, 2023 has marked significant transformations in Saudi Arabia,
particularly in sports, culture, and technology. This has significantly increased the reporting of international news agencies on
such events, which is, however, absent in the literature of translation studies. There is a notable gap in the literature
regarding the role of mediated paratexts in news trans-editing within the Saudi context. This paper examines how recontextualized
paratexts from Saudi sources contribute to gatekeeping and reframing the perception of Saudi Arabia in global media, focusing on
the comparative case studies on the BBC and the Xinhua. The paper draws on Baker’s (2006) narrative strategies of selective appropriation and
labeling as a methodological framework. The dataset involves a parallel corpus of 304 reports in English and
Arabic from the BBC and the Xinhua published between January and December 2023. The findings
reveal that paratextual frames play a crucial role in shaping how each news agency perceives the transformations in Saudi Arabia
through remarkable reframing in the thematic selections.
Rendition of non-verbal acoustic elements for film audiences with hearing impairments
Authors: Khoshsaligheh Masood , Ahadi Farkoush Nahid , Eriss Azadeh 
Published: November 2024

Abstract
The issue of media accessibility for d/Deaf and hard of hearing (DHH) viewers holds particular importance in
advanced societies, leading to exponential growth in research within the field of subtitling for the d/Deaf and hard of hearing
(SDH). However, limited research has been conducted on media accessibility, especially SDH, resulting in a relatively brief
history of SDH and its quality within Iran. This research aims to determine how non-verbal acoustic elements have been rendered in
subtitle versions of films intended for DHH audiences. Five drama feature films were purposefully selected from the Filimo
platform, the largest video-on-demand (VOD) service in Iran. The study reveals that various strategies were employed in the SDH
versions of the films, and inconsistencies were identified in the presentation methods throughout the films. However, some
strategies conforming to international SDH conventions were identified within the SDH versions of the films. The study underscores
the necessity for further research in this field to enhance the professional standards for producing appropriate SDH in Iran.
A different perspective on epistemics and deontics
Authors: Van De Mieroop Dorien , Stevanovic Melisa , Leinonen Minna , Nevalainen Henri 
Published: November 2024

Abstract
Thus far, few studies have investigated the evaluative points narrators may convey through the sequential features
of reported exchanges in their stories. In this article, we conduct a micro-oriented narrative analysis on how epistemic and
deontic status-stance relations are depicted by narrators in sequences of reported turns. We thus uncover how hierarchies and
potential transgressions between the characters in the storyworld are “shown” rather than “told” to the story recipients, who are
in this way equipped to evaluate the story as a whole and the story characters’ accountability for their interactional behavior in
particular. Furthermore, we argue that the narrators’ discursive set-up of epistemic and deontic relations in these reported
exchanges also displays their emic perspective to them. Therefore we believe that our approach can pave the way
for a novel approach to epistemics and deontics, complementing the insights gained in the conversation-analytic examination of
these phenomena in situ.
Two-Stage Training Method for High-Quality Reconstruction in Single-Pixel Imaging
Authors: Shao 邵 Hui 辉 , Huang 黄 He 何 , Wei 魏 Yu-Xiao 宇霄 , Zhang 张 Hui-Juan 会娟 , Yang 杨 Zhao-Hua 照华 , Yu 余 Yuan-Jin 远金 
Published: November 2024

Abstract
A two-stage training method is proposed to enhance imaging quality and reduce reconstruction time in data-driven single-pixel imaging (SPI) under undersampling conditions. This approach leverages a deep learning algorithm to simulate single-pixel detection and image reconstruction. During the initial training stage, an L
2 regularization constraint is imposed on convolution modulation patterns to determine the optimal initial network weights. In the subsequent stage, a coupled deep learning method integrating coded-aperture design and SPI is adopted, which utilizes backpropagation of the loss function to iteratively optimize both the binarized modulation patterns and imaging network parameters. By reducing the binarization errors introduced by the dithering algorithm, this approach improves the quality of data-driven SPI. Compared with traditional deep-learning SPI methods, the proposed method significantly reduces computational complexity, resulting in accelerated image reconstruction. Experimental and simulation results demonstrate the advantages of the method, including high imaging quality, short image reconstruction time, and simplified training. For an image size of 64 × 64 pixels and 10% sampling rate, the proposed method achieves a peak signal-to-noise ratio of 23.22 dB, structural similarity index of 0.76, and image reconstruction time of approximately 2.57 × 10−4 seconds.
Analysis of DVD diffraction patterns under oblique light illumination
Authors: Tang Xiaogang , Li Zhenbang , Gu Jiangyi , Wang Daju , Wang Yuanxiang , Jing Qingli , Li Shuzhen 
Published: November 2024

Abstract
When an optical disc is illuminated by an incandescent lamp, a bright colored line can be observed on its surface, and the color of the bright line varies with the observer's position. Based on the optical reflection grating structure of a Digital Versatile Disc (DVD), we first establish an optical path model of a source-disc-observer system. Then, we derive an analytic equation describing the relationship between the wavelength of the bright lines and the observation angles by applying the scalar diffraction theory. Finally, an experimental investigation is conducted, confirming the reliability of the theoretical model. This study can be applied to physics experimental teaching in universities, providing a compelling teaching example for students to deeply understand the optical structures and diffraction properties of optical discs.
Charge and thermal transport properties of undoped and doped

T

l

+

(

I

n

3
+

X

2

2
−

)

−

ternary dichalcogenides with a reduced dimensionality: perfect candidates for thermoelectric applications in the mid-temperature region
Authors: Yavuz Mehmed Faruk , Gökçe Serdar , Gür Elif Sena , Mammadov Tofig G , Najafov Arzu I , Salehli Ferid , Akşit Mahmut , Berber Savaş , Mikailzade Faik , Yu Seyidov Mirhasan 
Published: November 2024

Abstract
The present work focuses on a comprehensive investigation of charge and thermal transport properties of thallium–indium-based ternary dichalcogenides with a common chemical formula of

T

l

+

(

I

n

3
+

X

2

2
−

)

−

where X denotes tellurium, selenium or sulfur atoms. Two compounds in the one-dimensional chain form, including pristine TlInSe2 and Fe-doped TlInTe2 as well as a hybrid material constructed from the two-dimensional TlInS2 layered semiconductor diluted with TlFeS2 at % 0.7, have been successfully grown using the Bridgman–Stockbarger technique. X-ray powder diffraction, scanning electron microscopy and energy-dispersive x-ray spectroscopy measurements were performed to characterize the local structure and chemical composition features of all prepared compounds. A strong anisotropy in the charge-carrier transport properties of the samples was observed from

dc

- and

ac

- electrical conductivity measurements made in directions parallel and perpendicular to the layers/chains. This is a fundamental property for realizing high thermoelectric performance in semiconducting materials. As a result, extremely large Seebeck coefficients were revealed upon experimental investigations of the thermoelectric properties of

T

l

+

(

I

n

3
+

X

2

2
−

)

−

samples over a wide temperature range between ∼100 K and ∼800 K. The first-principles density functional theory (DFT) and Boltzmann transport equations were employed to investigate the thermal transport properties of the compounds studied at the atomic scale. A specific interaction between the thallium cation and the sulfur anion was observed in the DFT computation scheme. The developed interaction (more electrostatic than a much weaker van der Waals one) enhances the charge carrier effective mass via flattening of the electronic bands near the band edges and this can give a new path towards Seebeck coefficient enhancement in the traditional mid-temperature range.
Doped-δ-doped transferred electron device for sustained terahertz signal generation
Authors: Ong Duu Sheng 
Published: November 2024

Abstract
The performance of a novel transferred electron device structure aimed at sustaining high-frequency signals in the terahertz (THz) range is investigated. The device uses a highly doped δ-layer to split the n-doped device into two distinct regions, forming a doped-δ-doped configuration. The first region generates high-speed electrons toward the δ-layer, while the second region utilizes negative differential resistance to modulate electron speeds and sustain oscillations. An ensemble self-consistent Monte Carlo model is employed to analyze electron dynamics and THz signal generation in this structure under a constant bias. The design demonstrates superior performance, achieving a fundamental operating frequency of 427 GHz in a 600 nm length InP device, nearly a 50% increase over conventional notch-doped design, while maintaining the current harmonic amplitude. This design achieves higher frequencies without reducing device length and increasing doping density, effectively addressing the trade-off of the Kroemer criterion. The study of the effects of varying doping densities and region lengths on device performance, highlighting the importance of optimizing these parameters to sustain current oscillations and efficiently generate THz signals. This design offers a promising solution for a compact and efficient THz source.
2025 roadmap on 3D nanomagnetism
Authors: Gubbiotti Gianluca , Barman Anjan , Ladak Sam , Bran Cristina , Grundler Dirk , Huth Michael , Plank Harald , Schmidt Georg , van Dijken Sebastiaan , Streubel Robert , Dobrovoloskiy Oleksandr , Scagnoli Valerio , Heyderman Laura , Donnelly Claire , Hellwig Olav , Fallarino Lorenzo , Jungfleisch M Benjamin , Farhan Alan , Maccaferri Nicolò , Vavassori Paolo , Fischer Peter , Tomasello Riccardo , Finocchio Giovanni , Clérac Rodolphe , Sessoli Roberta , Makarov Denys , Sheka Denis D , Krawczyk Maciej , Gallardo Rodolfo , Landeros Pedro , d’Aquino Massimiliano , Hertel Riccardo , Pirro Philipp , Ciubotaru Florin , Becherer Markus , Gartside Jack , Ono Teruo , Bortolotti Paolo , Fernández-Pacheco Amalio 
Published: November 2024

Abstract
The transition from planar to three-dimensional (3D) magnetic nanostructures represents a significant advancement in both fundamental research and practical applications, offering vast potential for next-generation technologies like ultrahigh-density storage, memory, logic, and neuromorphic computing. Despite being a relatively new field, the emergence of 3D nanomagnetism presents numerous opportunities for innovation, prompting the creation of a comprehensive roadmap by leading international researchers. This roadmap aims to facilitate collaboration and interdisciplinary dialogue to address challenges in materials science, physics, engineering, and computing. The roadmap comprises eighteen sections, roughly divided into three blocks. The first block explores the fundamentals of 3D nanomagnetism, focusing on recent trends in fabrication techniques and imaging methods crucial for understanding complex spin textures, curved surfaces, and small-scale interactions. Techniques such as two-photon lithography and focused electron beam-induced deposition enable the creation of intricate 3D architectures, while advanced imaging methods like electron holography and synchrotron x-ray tomography provide nanoscale spatial resolution for studying magnetization dynamics in three dimensions. Various 3D magnetic systems, including coupled multilayer systems, artificial spin-ice, magneto-plasmonic systems, topological spin textures, and molecular magnets are discussed. The second block introduces analytical and numerical methods for investigating 3D nanomagnetic structures and curvilinear systems, highlighting geometrically curved architectures, interconnected nanowire systems, and other complex geometries. Finite element methods are emphasized for capturing complex geometries, along with direct frequency domain solutions for addressing magnonic problems. The final block focuses on 3D magnonic crystals and networks, exploring their fundamental properties and potential applications in magnonic circuits, memory, and spintronics. Computational approaches using 3D nanomagnetic systems and complex topological textures in 3D spintronics are highlighted for their potential to enable faster and more energy-efficient computing.
Order parameter symmetry in superconducting 2H-TaSeS
Authors: Yadav K , Lamba M , Singh M , Yadav M , Kumar A , Patnaik S 
Published: November 2024

Abstract
Superconductors based on transition metal dichalcogenides are of substantial current relevance towards the material realization of topological superconductivity. Here, we report a detailed study on the synthesis and characterization of single crystals of 2H-TaSeS. A superconducting transition is confirmed at

4.15

K

that coexists with a charge-density wave ordering at

66

K

. The temperature dependence of the RF penetration depth indicates s-wave characteristics in the weak-coupling limit. Moderate electronic anisotropy is observed in the upper critical fields. DFT calculations confirm that the most stable structure belongs to the

P

6
3

mc

space group. Negative values in the phonon dispersion curves verify the possibility of coexisting superconductivity with a charge-density wave in 2H-TaSeS. We also study vortex dynamics in this novel superconductor. Overall, our analysis suggests that 2H-TaSeS is a conventional Type-II superconductor without any evidence for topological superconductivity.