bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Large Mandibular Anterior Swelling—A Diagnostic Dilemma: A Case Report
Authors: Sonar Prasanna R. , Panchbhai Aarati S. , Dangore Suwarna B. 
Published: January 2024

AbstractHybrid lesions are lesions that combine characteristics of many pathologies. The literature has shown a rare relationship between aneurysmal bone cysts, fibro-osseous lesions, and a central giant cell lesion. In this case, we describe an unusual hybrid lesion in the mandibular anterior area. As a result, the goal of this article is to highlight the significance of comprehensive clinical, radiographic, and histological investigation in addition to presenting a rare instance of hybrid lesion. This will lessen the likelihood of misdiagnosis in these situations and aid in prompt treatment planning of the lesion.
Acting as if: the utopian political thought and actions of the US disability rights movement
Authors: Vogler Gisli 
Published: January 2024

AbstractThis article studies the response of the US disability community to the prevalent assumption that disabled people do not have a future, in the form of the disability rights movement. It provides an exploratory discussion of the key role played by utopianism in the response. In doing so, the article adds to critical theorizing on the importance of utopia to the oppression of non-dominant groups and to transcending that oppression. I use utopian studies scholarship to interpret the activities leading up to the passing of the Americans with Disabilities Act in 1990 as a minor utopia, characterized by an ambiguous, grounded, and provisional effort to imagine alternative ways of being. I articulate the central role played by a positive vision of disability and disabled people for this inversion of the historically negative relationship between utopia and disability. The article turns to disability activists to show that the movement countered exclusionary utopian approaches by acting as if it had a right to envision and enact a different, better future for all from the perspective of disability and disabled people.
Ambient formation of high pressure Ag2Si2O5 and non-stoichiometric Ag0.3Al0.7 alloy under confinement
Authors: Pramanik Subrata , Mukhopadhyay Mrinmay Kumar , Biswas Ripan Kumar , Ghosh Jiten , Datta Alokmay 
Published: January 2024

We report results of Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersive Analysis of X-rays (EDAX), X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectivity (XRR), and X-ray Diffraction (XRD) and residual stress measurement studies of Ag-silica composite films on Al(001) co-deposited from precursors and spin-coated at different frequencies under ambient conditions. FESEM and EDAX show Ag nanoparticle formation, and XRD, XPS, and XRR show Ag0.3Al0.7 alloy and Ag-rich silicate Ag2Si2O5 formation in all samples. The alloy is non-stoichiometric and non-equilibrium, while the silicate forms at high oxygen pressure. XRR shows the presence of three layers, nanoparticles on top, silicate in the middle, and alloy at the bottom, on an Ag-doped Al substrate. Film thickness decreases exponentially with frequency. Individual layers increase in crystal domain size with a frequency of 3000 rpm when the silicate layer thins below unit cell thickness and the growth has a two-dimensional preference. Our results suggest total confinement by film thinning and local confinement from the Ag nanolayer. Residual stress measurements on the films deposited at 500 and 5000 rpms show a gradual increase in the tensile stress. The increase in spinning frequency reveals the formation of high pressure ambience.
Fabrication of small-period neutron absorption grating by pressurized particle filling method
Authors: Guo Chenfei , Chen Lijuan , Zhang Kuanqiang , Ding Xu , Xiong Ying , Guan Yong , Wu Zhao , Tian Yangchao , Liu Gang 
Published: January 2024

Neutron absorption gratings play a crucial role in neutron phase contrast imaging systems, where the fabrication of large-size and small-period absorption gratings that meet imaging requirements presents a significant challenge. The pressurized particle filling method has been successfully applied to fabricate large-size absorption gratings. Here, we investigated the feasibility of the pressurized particle filling method for fabricating small-period gratings and proposed an optimized pressurized particle filling method. The grating surface was covered with a uniform particle layer and then pressurized, utilizing the adaptive deformation of the particle layer to achieve uniform particle filling. Neutron absorption gratings with an area of 60 × 60 mm2 and periods of 8 and 4 µm were fabricated through this method. The particle filling rate and fabrication efficiency were successfully improved. In addition, the evaluation of the particle filling uniformity method by analyzing the proportion of particles on the grating surface was proposed. The better uniformity of small-period neutron absorption gratings indicated that the optimized pressurized particle filling method can achieve relatively uniform particle filling.
Synthesis of CoFe2O4/mesoporous-carbon hybrid nanocomposite with enhanced microwave absorption in K and Ka-band
Authors: Pantola Pooja , Kumar Sunil , Chaudhary Deepti , Agarwal Pooja , Kuanr Bijoy Kumar 
Published: January 2024

In the present investigation, CoFe2O4/mesoporous-carbon nanocomposites were synthesized using a facile hydrothermal method and demonstrate their dual band (K and Ka-band) microwave absorption properties, where radiation from high-resolution and close-range radars, space telescopes, and wireless point-to-point microwave communication systems populates. XRD results confirmed the pure phase formation of CoFe2O4 nanoparticles. Vibrating sample magnetometer shows a decrease in magnetization value for CoFe2O4/mesoporous-carbon nanocomposites that can be attributed to the increasing contents of non-magnetic mesoporous carbon. The reflection loss of the hybrid nanocomposite reached −31 dB at a matching thickness of 2.5 mm and effective absorption bandwidth was 4.4 GHz. The enhanced microwave absorption properties derive from the synergistic effect amid dielectric and magnetic loss of mesoporous-carbon and ferrite, respectively, and better impendence matching at their interface. In addition, the dielectric loss can be associated with polarization relaxation and mesoporous carbon conductivity and the magnetic loss arises from the natural resonance of ferrite materials. The high reflection loss and wide absorption bandwidth display that CoFe2O4/mesoporous-carbon nanocomposite having admirable microwave absorption performances can be a capable candidate for stealth technology and in advanced communication systems.
Scalar implicature
Authors: Zhang Yanfei , Liang Nina , Zhang Shaojie 
Published: January 2024

Abstract
Scalar implicature is a very interesting topic in linguistic pragmatics. This study is intended to argue that,
based on the Cognitive Grammar paradigm, scalar implicature is contextually activated by schematic networks. From a hierarchical
perspective, those linguistic units sharing the same schema can be compared; from a horizontal perspective, these units are
distributed from the stronger to the weaker in terms of semantic inclusion. The encyclopedic nature of context determines that
using a weaker lexical item to implicate the denial of a stronger statement has become a cognitive routine which is presumed to be
shared by the speaker and hearer. The study concludes that scalar implicature lies in between semantics and pragmatics.
Spanish enrollment decline and students’ beliefs and attitudes
Authors: Balmaceda M. David , Brantmeier Cindy , Hogrebe Mark C. 
Published: January 2024

AbstractUniversities across the USA are experiencing a decline in foreign language enrollment and in advanced Spanish courses (Looney & Lusin, 2019;Lusin et al., 2023), with a trend of higher female enrollment (Brantmeier et al., 2019;Chavez, 2001). Literature in Second Language Acquisition and Sociopsychology has studied how beliefs can influence a student’s thoughts and actions regarding their decision to enroll in a particular course (Mills & Moulton, 2017;Omrod, 2011;Taylor & Mardsen, 2014). The present study aims to investigate advanced Spanish learners’ awareness, beliefs, and attitudes toward four language learning skills and their differences by gender. Overall results indicated that participants from two different advanced Spanish courses had more positive beliefs and attitudes toward speaking and listening than reading and writing. Additionally, a higher proportion of female students had more positive beliefs toward the four skills than male students. Pedagogical implications and future directions on student uptake are suggested in this study.
Fourier series-based approximation of time-varying parameters in ordinary differential equations
Authors: Fitzpatrick Anna , Folino Molly , Arnold Andrea 
Published: January 2024

Abstract
Many real-world systems modeled using differential equations involve unknown or uncertain parameters. Standard approaches to address parameter estimation inverse problems in this setting typically focus on estimating constants; yet some unobservable system parameters may vary with time without known evolution models. In this work, we propose a novel approximation method inspired by the Fourier series to estimate time-varying parameters (TVPs) in deterministic dynamical systems modeled with ordinary differential equations. Using ensemble Kalman filtering in conjunction with Fourier series-based approximation models, we detail two possible implementation schemes for sequentially updating the time-varying parameter estimates given noisy observations of the system states. We demonstrate the capabilities of the proposed approach in estimating periodic parameters, both when the period is known and unknown, as well as non-periodic TVPs of different forms with several computed examples using a forced harmonic oscillator. Results emphasize the importance of the frequencies and number of approximation model terms on the time-varying parameter estimates and corresponding dynamical system predictions.
The growth of epitaxial graphene on SiC and its metal intercalation: a review
Authors: Yang Dong , Ma Fei , Bian Xianglong , Xia Qianfeng , Xu Kewei , Hu Tingwei 
Published: January 2024

Abstract
High-quality epitaxial graphene (EG) on SiC is crucial to high-performance electronic devices due to the good compatibility with Si-based semiconductor technology. Metal intercalation has been considered as a basic technology to modify EG on SiC. In the past ten years, there have been extensive research activities on the structural evolution during EG fabrication, characterization of the atomic structure and electronic states of EG, optimization of the fabrication process, as well as modification of EG by metal intercalation. In this perspective, the developments and breakthroughs in recent years are summarized and future expectations are discussed. A good understanding of the growth mechanism of EG and subsequent metal intercalation effects is fundamentally important.
Voltage prediction of vanadium redox flow batteries from first principles*
Authors: Brennan Scott , Smeu Manuel 
Published: January 2024

Abstract
Global energy demand has been increasing for decades, which has created a necessity for large scale energy storage solutions for renewable energy sources. We studied the voltage of vanadium redox flow batteries (VRFBs) with density functional theory (DFT) and a newly developed technique using ab initio molecular dynamics (AIMD). DFT was used to create cluster models to calculate the voltage of VRFBs. However, DFT is not suited for capturing the dynamics and interactions in a liquid electrolyte, leading to the need for AIMD, which is capable of accurately modeling such things. The molarities and densities of all systems were carefully considered to match experimental conditions. With the use of AIMD, we calculated a voltage of 1.23 V, which compares well with the experimental value of 1.26 V. The techniques developed using AIMD for voltage calculations will be useful for the investigation of potential future battery technologies or as a screening process for additives to make improvements to currently available batteries.
A unique numerical iterative approach for modelling individual phase stress-strain curves in dual phase steel
Authors: Tanu Halim Silvie , Ng Eu-Gene 
Published: January 2024

Abstract
Understanding the effects of martensite volume fractions (V
m) in dual phase (DP) steel resulting from heat treatment is crucial for designing structures for mechanical impact resistance and optimizing manufacturing processes. DP steel’s material behaviour depends heavily on its microstructure properties. While stress-strain curves for individual phases in DP steels are often determined using empirical models, extensive experimental data is required to establish empirical model constants. This research aims to achieve two main objectives: firstly, to calibrate stress-strain curves for pure ferrite and pure martensite using limited experimental data using micromechanical adaptive iteration algorithm (MAIA). This calibration involves using stress-strain data from DP steels with varying V
m during the calibration stage and additional data for verification. Secondly, to conduct a comprehensive sensitivity analysis of MAIA to assess its capabilities and limitations. Microstructure-based finite element (FE) models, simulated with ABAQUS/Standard, are employed to predict stress-strain curves under uniaxial tensile test conditions. The MAIA approach successfully calculated ferrite and martensite stress-strain curves that could predict plastic behaviour of DP steel with different V
m, which agreed with experimental work. Key advantages of this approach include avoiding complex 3D microstructure geometries and requiring only two experimentally obtained stress-strain curves with different Vm for material constant calibration, along with another curve for validation. However, the experimental data selected for calibration must have a V
m difference between 20%–50% and one of the DP steels must have a low martensite volume fraction. The FE micromechanical model could capture the effect of softening of martensite phase and strengthening of ferrite phase as compared to its bulk properties for DP steel. The effect of V
m on strain hardening rate was also successfully captured. This technique comes with obvious shortcomings, such as excluding crystal plasticity behaviour, and change in chemical composition within the individual phase with varying martensite volume fraction.
Sleep apnea detection from single-lead electrocardiogram signals using effective deep-shallow fusion network
Authors: Li Pan , Ma Wenjun , Yue Huijun , Lei Wenbin , Fan Xiaomao , Li Ye 
Published: January 2024

Abstract

Objective. Explore a network architecture that can efficiently perform single-lead electrocardiogram (ECG) sleep apnea (SA) detection by utilizing the beneficial information of extended ECG segments and reducing the impact of their noisy information. Approach. We propose an effective deep-shallow fusion network (EDSFnet). The deeper residual network is used to extract high-level features with stronger semantics and less noise from the original ECG segments. The shallower convolutional neural network is used to extract lower-level features with higher resolution containing more detailed neighborhood information from the extended ECG segments. These two types of features are then fused using Effective Channel Attention, implementing automatic weight assignment to take advantage of their complementary nature. Main results. The performance of EDSFnet is evaluated on the Apnea-ECG dataset and the FAH-ECG dataset. In the Apnea-ECG dataset with 35 subjects as the training set and 35 subjects as the test set, the accuracy of EDSFnet was 92.6% and 100% for per-segment and per-recording test, respectively. In the FAH-ECG dataset with 348 subjects as the training set and 88 subjects as the test set, the accuracy of EDSFnet was 89.0% and 93.2% for per-segment and per-recording test, respectively. EDSFnet has achieved state-of-the-art results in both experiments using the publicly available Apnea-ECG dataset and subject-independent experiments using the FAH-ECG clinical dataset. Significance. The success of EDSFnet in handling SA detection underlines its robustness and adaptability. By achieving superior results across different datasets, EDSFnet offers promise in advancing the cost-effective and efficient detection of SA through single-lead ECG, reducing the burden on patients and healthcare systems alike.
Design and simulation of high performance β-Ga2O3 super barrier rectifier with a current blocking layer
Authors: Wang Zhenghua , Yuan Lei , Peng Bo , Xie Xinming , Zhang Yuming , Jia Renxu 
Published: January 2024

Abstract
In this work, a β-Ga2O3 super barrier rectifier with a current blocking layer (CSBR) is proposed. Its static characteristics, dynamic characteristics and surge capability are investigated by TCAD simulation. The Baliga’s figure of merit (BFOM) can reach 1.62 GW cm−2 with the on-resistance of 3.68 mΩ cm−2 and the breakdown voltage of 2447 V, exhibiting excellent performance. Foremost, the turn-on and turn-off of the device is controlled by metal-oxide-semiconductor (MOS) structure. The reverse recovery time is 11.2 ns, which is compatible with that of a Schottky diode. Simulation results show that the dimensions of the cells and the proportion of the ohmic contact region in the cells are the key parameters affecting the reverse recovery time. In addition, the CSBR with double-side cooling configuration demonstrates high surge capability. It can sustain a peak surge current density of 5000 A cm−2, which is more than 10 times its forward current (V
Forward = 3.0 V). Overall, the proposed structure has a high BFOM, excellent reverse characteristics and high reliability, demonstrating its potential in high voltage applications. Moreover, CSBR can be embedded into Ga2O3-MOSFET as a free-wheeling diode.
A proof of concept for reliability aware analysis of junctionless negative capacitance FinFET-based hydrogen sensor
Authors: Gandhi Navneet , Jaisawal Rajeewa Kumar , Rathore Sunil , Kondekar P N , Bagga Navjeet 
Published: January 2024

Abstract
This work demonstrates the reliability-aware analysis of the Junctionless negative capacitance (NC) FinFET employed as a hydrogen (H2) gas sensor. Gate stacking of the ferroelectric (FE) layer induces internal voltage amplification owing to the NC property, thus, improving the sensitivity of the baseline junctionless FinFET. A well-calibrated TCAD model is used to investigate the sensing characteristics of the proposed FinFET-based H2 sensor by employing the palladium (Pd) metallic gate as a sensing element. The mechanism involves the transduction of H2 gas molecules over the metal gate; due to the diffusion process, some atomic hydrogen diffuses into the metal. The H2 gas absorption at the metal surface causes a dipole layer formation at the gate and oxide interface, which changes the metal gate work function. As a result, this change in the work function can be used as a sensing parameter of the proposed gas sensor. Further, the threshold voltage and other electrical characteristics, such as output conductance, transconductance, and drain current are examined for sensitivity analysis for both NC and without NC JL FinFET at different pressure ranges, keeping the temperature constant (i.e. 300 K). The device variation, i.e. Fin thickness, Fin height, doping and thickness of HfO2 ferroelectric layer, etc, on sensor sensitivity has been evaluated through extensive simulation. This paper also presents a detailed investigation of the sensor’s reliability in terms of work function variation, random dopant fluctuation, trap charges, and device aging, i.e. end of a lifetime. At last, the acquired results are compared with earlier reported data, which justifies the profound significance of the proposed junctionless negative capacitance FinFET-based H2 gas sensor.
Rastall gravity: accretion disk image in the context of radiation fields and visual transformations compared to Reissner-Nordström black hole*
Authors: Huang 黄 Yu-Xiang 宇翔 , Guo 郭 Sen 森 , Liang 梁 Yu 宇 , Cui 崔 Yu-Hao 宇昊 , Jiang 蒋 Qing-Quan 青权 , Lin 林 Kai 恺 
Published: January 2024

Abstract
In this study, we investigated the astronomical implications of Rastall gravity, particularly its behavior amidst a radiation field compared to Reissner-Nordström (RN) black holes. We found a crucial correlation between the dynamics of the accretion disk and the parameters Q and

, which properly reflect the influence of spacetime metrics on the disk’s appearance. Elevated electric charge Q causes contraction in the disk’s orbit due to enhanced gravitational effects, while higher

values lead to outward expansion, influenced by the attributes of the radiation field. Interestingly, the charged black holes surrounded by radiation fields exhibit distinct visual disparities from RN black holes. Brightness decreases and expansion occurs within the innermost stable circular orbit of the accretion disk with rising

values. Our study also reveals the process by which the accretion disk transitions from a conventional disk-like structure to a hat-like form at different observation angles, with the redshift effect gradually intensifying. Moreover, the results of the considered Rastall gravity radiation field are consistent with the constraints of the gravitational lensing of the host galaxy on Rastall gravity parameters, thereby enhancing the consistency between theoretical predictions and actual observations.
Livestock waste as alternative energy for rural households: A review
Authors: Sahara D 
Published: January 2024

Abstract
Most livestock businesses in Indonesia are still small-scale farms located in rural areas with ruminants and poultry. BPS data for 2023, ruminant livestock and poultry amount to 63 million and 4,119 million, respectively. Ruminant livestock waste averages 15 kg/day, producing 946 million livestock waste/day. Livestock waste is used as raw material for organic fertilizer and alternative energy (biogas) for rural households. Biogas comes from gas produced through an anaerobic process from organic materials, namely human and animal waste, organic waste, household waste, and other biodegradable waste. Biogas has potential as an alternative energy source for rural households. The energy produced is environmentally friendly; biogas slurry is used as organic fertilizer, reduces carbon emissions, reduces the fossil fuel crisis, and reduces environmental pollution. However, the development of utilization of livestock waste into biogas faces obstacles, namely limited human and capital resources, as well as the number of livestock owners. Therefore, a more practical alternative energy (biogas) development strategy needs to be carried out by the government and farmers through the utilization and development of farmer groups, expanding the socialization of biogas technology, increasing the knowledge of farmers with non-formal education, and providing biogas installations in rural areas.