bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Clinical Mapping of Submandibular Gland Fistula: A Case Report and Systematic Review
Authors: Dokania Vivek , Ibrar Md , Vishwakarma Mayashankar 
Published: October 2023

Abstract
Introduction Submandibular gland fistula (SGF) is a rare subset of salivary gland fistulas. It is seldom tough to diagnose them prior to surgical exploration, and it is often clinically confused with close differentials. An early diagnosis based on pertinent clinical features and focused radiological findings can be pivotal in optimal management and help prevent recurrence and avoid unnecessary investigations/interventions.
Objective To review articles that discuss SGF and provide vital etiological, clinical, and imaging features of this rare entity that can aid in early clinical diagnosis.
Data Synthesis An extensive review involving PubMed and Google Scholar and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards.
Conclusion Submandibular gland fistula is a rare entity. It can be confused with close differentials, including branchial fistulas, if not thoroughly examined. Discharge from fistulae along with submandibular pain/tenderness and/or swelling are important diagnostic clues. A history of trauma, nodule at the site of discharge, prior submandibular disease/calculi, or discharge aggravated with food further increases a clinical suspicion. Optimal radiological investigation looking for calculi/foreign body and delineating the fistula tract is vital to affirm a diagnosis. Gland with fistula excision is a commonly advocated treatment of choice with no reports of recurrence, although conservative management and gland preserving surgery have also reported a favorable prognosis.
Behavioral Assessment of Central Auditory Processing in Turner Syndrome
Authors: Santos Adriana Fernandes Duarte dos , Bazilio Martha Marcela Matos , Frota Silvana , Guimarães Marilia , Ribeiro Marcia Gonçalves 
Published: October 2023

Abstract
Introduction Turner syndrome (TS) affects ∼ 1 in 2,500 live births. The presence of hearing alterations is one of the comorbidities found in this syndrome.
Objective The present study aimed to evaluate the central auditory abilities in TS and to associate the alterations found with the cytogenetic pattern of the syndrome.
Methods We included children and adults aged 9 to 39 years old, diagnosed with TS, with numerical or structural alterations of sex chromosomes in their karyotype. A battery of behavioral tests of central auditory processing (CAP) was performed, including a test within the modalities: monoaural low-redundancy, dichotic listening, binaural interaction, and temporal processing (resolution and ordering). We studied auditory skills in the total sample and in the sample stratified by age, divided into groups: G1 (9 to 13 years old), G2 (14 to 19 years old), and G3 (20 to 31 years old). For the association of the cytogenetic pattern, the division was T1 (chromosome monosomy X), and T2 (other TS cytogenetic patterns). Statistical analysis presented data expressed as median and interquartile range for numerical data and as frequency and percentage for categorical data.
Results We found alterations in four auditory skills in the three age groups, but there was a statistically significant difference between the age groups only in the Gaps in Noise Test (GIN) (p-value = 0.009). Regarding karyotype, a greater number of alterations in the T1 cytogenetic pattern (chromosome monosomy X) was observed in four auditory skills, but without a statistically significant difference.
Conclusion The alterations found point to an impairment in CAP in TS.
Spectrum, Evolution, and Clinical Relationship of Magnetic Resonance Imaging in 31 Children with Febrile Infection-Related Epilepsy Syndrome
Authors: Moreno-Brauer Darinka , Häusler Martin , Kluger Gerhard , Hensler Johannes , van Baalen Andreas 
Published: October 2023

Abstract
Objective Describing spectrum, evolution, and clinical relationship of brain magnetic resonance imaging (MRI) findings in a large case series of children with febrile infection-related epilepsy syndrome (FIRES).
Methods This retrospective study included 31 children with FIRES. Clinical data and MRI findings of the brain were evaluated. Poor clinical outcome was defined as severe disability, persistent vegetative state or stupor, very low intelligence quotient (<80), or death (modified Rankin scale 4–6 and Glasgow Outcome Score 1–3).
Results Seventeen (54.8%) children with FIRES showed no abnormalities in the initial MRI, whereas 28 (90.3%) children showed MRI abnormalities at follow-up. The most frequent abnormalities were brain atrophy (74.2%) and T2/fluid-attenuated inversion recovery changes (64.5%), mostly hippocampal (45.2%). Generalized brain atrophy was the most frequent type of atrophy (58%). The earliest atrophy was recorded 9 days after the onset of disease. It progressed even beyond the acute phase in most children (51.6%). The exploratory data analysis revealed nominal significance between all MRI abnormalities considered together and poor outcome (p = 0.049) and between generalized brain atrophy and anesthesia (p = 0.024). After adjustment for multiple testing, the p-values were not significant. The outcome in four (12.9%) children was not poor despite generalized brain atrophy.
Conclusion In contrast to the uniform clinical course, MRI demonstrated a broad spectrum of findings. Initially, these were mostly normal and therefore indicative of FIRES but then changed rapidly and were mostly progressive despite the stable chronic course. The cause may be ongoing disease, treatment intensity, or both. Future studies should focus on what process underlies the onset and the progression of brain atrophy. However, brain atrophy was not always related to poor outcomes in children despite FIRES.
Plantar Psoriasis Treated with Individualised Homoeopathic Medicine – A Case Report
Authors: Shukla Indu , Bansal Priya 
Published: October 2023

AbstractPsoriasis is a common non-infectious disease that is considered a chronic autoimmune condition. It is T-cell mediated and characterized by the rapid replacement of epidermal cells on the basal membrane level. Affecting approximately 2 to 3% of the population, around 3 to 4% of individuals with psoriasis experience palmoplantar psoriasis. This type of psoriasis can manifest at any age. Psoriasis, being a chronic skin disorder, impacts various aspects of an individual's social life. Homoeopathy has demonstrated positive outcomes in treating skin complaints. In this presentation, we discuss a diagnosed case of plantar psoriasis that was managed with individualized homoeopathic medicine. The patient exhibited itching eruptions on both soles, characterized by chronic local dryness, hardness, cracking, and roughness, without any other accompanying systemic complaints. This condition was treated using individualized homoeopathic medicine. The patient displayed significant improvement with the prescribed medicine, achieving full recovery within 6 months. The treatment comprised two doses of Sulphur 30 at a 1-month interval, followed by one dose of Sulphur 200 at a 4-month interval. Notably, there was no relapse for over 2 years, indicating that the benefits of the therapy persisted long after the treatment concluded. An assessment of possible causal attribution was conducted using the Modified Naranjo Criteria (Score-7 out of 13). Photographic documentation was conducted at the beginning and conclusion of the treatment. The negative impact of this chronic condition on the patients' quality of life was evaluated through the Dermatology Life Quality Index and was significantly ameliorated with homoeopathic treatment.
How nudges and marketing, frame time preference “for your own good”: a behavioral model
Authors: Corcos Anne 
Published: October 2023

AbstractMarketing and nudges rely on choice framing to « do you good »: whether encouraging you to indulge in the pleasures of a pastry (marketing) or to save for retirement (nudges). What sets them apart? This article makes a threefold contribution in understanding their differences. First, it shows that marketing and nudges differ in their interpretation of “your interest”. Marketing emphasizes immediate gratification and succumbing to temptation, while nudges prioritize our future well-being. Second, this difference manifests itself in the role of time preference. Marketing exploits our lack of self-control to influence behavior, whereas nudges help individuals resist the lure of immediate rewards. In doing so, nudges overcome deep-rooted behavioral and neural mechanisms. Finally, the article develops a behavioral model common to marketing and nudges that shows how they use similar behavioral tools to promote and mitigate time preference, respectively.
Numerical investigation on atomization characteristics of sustainable aviation biofuel
Authors: Liu Yongqiang , Ding Qingmiao , Xiong Weilin , Yan Qun 
Published: October 2023

It is critical to investigate the atomization features of sustainable aviation biofuel (SAF) to reduce carbon emissions. Fluent software was used to quantitatively simulate the atomization of the fuel. The control variable method was utilized to compare SAF to Chinese aviation fuel RP-3. The volume of fluid model (VOF) and the discrete phase model (DPM) were used to explore the variation law of SAF atomization characteristics in a two-way centrifugal nozzle with a pressure drop of 2–8 MPa and various nozzle configurations. The experimental results suggest that the model is effective. The results demonstrate that when pressure increases, the average diameter of SAF’s Sauter mean diameter reduces from 80 to 23 µm and the spray penetration distance increases from 0.32 to 0.6 m, allowing for more stable fuel combustion. Meanwhile, as the nozzle outlet aspect ratio increases, such as increasing the nozzle diameter from 2.0 to 2.6 mm, the atomization cone angle varies from 60° to 110° and gradually declines, although the average diameter of Sauter only varies minimally within a limited range of 30–40 µm. All of these findings indicate that SAF has good atomization properties and the potential to be used as an aviation fuel.
Control of Ag acceptor concentration and pn-junction depth in single crystalline Mg2Si photodiodes
Authors: Sakane S. , Udono H. 
Published: October 2023

We have investigated the relationship between the Ag concentration and the pn-junction depth in the Mg2Si pn-junction photodiodes fabricated by thermal diffusion of the Ag acceptor. The Ag concentration profiles and pn-junction depths in the samples annealed between 400 and 550 °C were studied by secondary ion mass spectroscopy and electron beam-induced current (EBIC) images. We observed two kinds of lattice diffusions of substitutional and interstitial Ag atoms with two different diffusion coefficients, of which activation energies were ∼0.97 and 0.75 eV, respectively. The depth of pn-junction observed by EBIC images increased with annealing temperature and annealing time. On the other hand, the average Ag concentration did not depend on the annealing time but depended on the annealing temperature. These results indicate that the average Ag concentration and pn-junction depth in Mg2Si photodiodes can be controlled by annealing temperature and annealing time, respectively. This study would contribute to the development of Mg2Si pn-junction photodiodes.
Exploring the Case: Animal Rescue Tourism: Supporting the Welfare and Rights of Domesticated Street Animals in the Age of Social Media
Authors: Blaer Madelene 
Published: October 2023

Introduction
Animal Aid Unlimited (AAU), an animal rescue organisation in India, provides a case where the welfare and rights of domesticated street animals are supported through social media and volunteer tourism. AAU’s online activities and popular videos have generated international recognition and their animal-based volunteer programme provides visitors and tourists with meaningful experiences. Together, these efforts have led to increased awareness and donations that are used to enhance positive impacts for animals’ lives. The intersections of animal ethics, tourism and digitalism provide a fascinating space and a plethora of opportunities for research, study and teaching. A number of avenues for further research, questions for discussion and activities to apply the key theories and concepts surrounding animal rescue tourism are provided in this exploring the case.
Triaxial piezoresistive force sensor probe with high sensitivity and stiffness using 3D notch structure
Authors: Takahashi Hidetoshi , Takei Yusuke , Noda Kentaro , Matsumoto Kiyoshi , Shimoyama Isao 
Published: October 2023

Abstract
This paper proposes a microelectromechanical system triaxial piezoresistive force sensor probe with high sensitivity and stiffness. The sensor probe is composed of a cantilever and four supporting beams. Two of the four beams had horizontal notch parts at the root, and sidewall-doped piezoresistors were utilised to detect the in-plane deformation. There was a vertical notch at the root of the remaining two beams and a surface-doping piezoresistor in one beam to detect the out-of-plane deformation. Thus, the proposed sensor probe measures the three directional forces applied to the cantilever tip with high sensitivity and stiffness owing to the corresponding piezoresistive notch structures. We demonstrate a fabrication process that forms the notch structure and the surface and sidewall doping methods. Our fabricated device was confirmed capable of measuring triaxial forces with a force resolution at the sub-micro-Newton level.
Characterization of near-field emission and structure of an SLD by polarization parametric indirect microscopic imaging
Authors: Ni Bin , Chen Wei , Ye Shengwei , Xue Lu , Hou Lianping , Marsh John H , Gu Kai , Sun Chaofu , Liu Xuefeng , Xiong Jichuan 
Published: October 2023

Abstract
In this paper, a novel polarization parametric indirect microscopic imaging (PIMI) method is utilized for the first time to characterize the near-field emission mode and end-face structure of nanoscale semiconductor light-emitting chips. Via polarization modulation and detection of the emitted light from an superluminescent diode chip, abundant information including the distinct border of the emission mode, which cannot be seen by the traditional method, is collected and visualized as the form of multi-dimensional photon state distribution images. The polarization property distribution of the emission mode was visualized for the first time. Besides, by concurrent analysis of PIMI images of the end-face structure and emission mode, potential impurities adhered to the emitting facet can be precisely screened and located. The proposed method here has considerable advantages in the characterization of the light-emitting devices, paving a new way for precise, convenient, cost-effective, and large-scale quality inspection in industries.
New insights into the electronic structure of α-U and δ-Pu
Authors: Kutepov A L , Tobin J G , Yu S-W , Chung B W , Roussel P 
Published: October 2023

Abstract
This work presents the results of a theoretical study of the electronic structure of two actinide metals, α-U and δ-Pu. We compare our ab-initio results obtained with the recently developed self-consistent Vertex corrected GW approach with previously published experimental measurements such as photo-electron spectroscopy, for the occupied density of states, and bremsstralung isochromat spectroscopy (BIS) and inverse photo-electron spectroscopy (IPES), for the unoccupied density of states. Our ab-initio approach includes all important relativistic effects (it is based on Dirac’s equation) and it represents the first application of the Vertex corrected GW approach in the physics of actinides. Overall, our theoretical results are in good agreement with the experimental data, which supports the level of approximations which our theoretical method is based upon. By comparing our vertex corrected GW results with our results obtained with less sophisticated approaches (local density approximation and self-consistent GW) we differentiate the strength of correlation effects in Uranium and Plutonium. Also, our theoretical results allow us to elucidate the subtle differences between the previously published experimental BIS and IPES data on the unoccupied density of states in α-U.
Multi-sensor gearbox fault diagnosis using generalized minimum entropy deconvolution and main frequency center extraction
Authors: Liu Wenyu , Wang Qiang , Xu Feiyun 
Published: October 2023

Abstract
Accurate diagnosis of gearbox faults is vital to maintain the stability and dependability of rotating machinery. In practical engineering scenarios, the installation of multiple sensors is often necessary to monitor numerous variables and gather extensive information. To effectively utilize the fault information from multiple sensors and improve fault diagnosis performance, this paper presents a gearbox fault diagnosis method using generalized minimum entropy deconvolution (GMED) and main frequency center extraction (MFCE). Firstly, the introduced GMED enhances the fault signals from multiple sensors through the maximization of standardized moments, offering advantages such as stability, wide applicability, and minimal parameter tuning requirements. Subsequently, the proposed MFCE is employed to extract features. MFCE selects main spectral lines and derives a novel feature metric named main frequency center. This not only further reduces the influence of interfering components, but also requires the extraction of only 2 n features (where n is the number of sensors) to achieve a high fault recognition rate, while remaining compatible with multiple classical classifiers. Finally, the effectiveness and robustness of the proposed method are demonstrated through experimental results on two gearbox fault datasets.
SCA-Former: transformer-like network based on stream-cross attention for medical image segmentation
Authors: Gao Chengrui , Cheng Junlong , Yang Ziyuan , Chen Yingyu , Zhu Min 
Published: October 2023

Abstract

Objective. Deep convolutional neural networks (CNNs) have been widely applied in medical image analysis and achieved satisfactory performances. While most CNN-based methods exhibit strong feature representation capabilities, they face challenges in encoding long-range interaction information due to the limited receptive fields. Recently, the Transformer has been proposed to alleviate this issue, but its cost is greatly enlarging the model size, which may inhibit its promotion. Approach. To take strong long-range interaction modeling ability and small model size into account simultaneously, we propose a Transformer-like block-based U-shaped network for medical image segmentation, dubbed as SCA-Former. Furthermore, we propose a novel stream-cross attention (SCA) module to enforce the network to focus on finding a balance between local and global representations by extracting multi-scale and interactive features along spatial and channel dimensions. And SCA can effectively extract channel, multi-scale spatial, and long-range information for a more comprehensive feature representation. Main results. Experimental results demonstrate that SCA-Former outperforms the current state-of-the-art (SOTA) methods on three public datasets, including GLAS, ISIC 2017 and LUNG. Significance. This work exhibits a promising method to enhance the feature representation of convolutional neural networks and improve segmentation performance.
ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals
Authors: Khare Smith K , Gadre Vikram M , Rajendra Acharya U 
Published: October 2023

Abstract

Background. Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BD), and depression (DPR) are some of the leading causes of disability and suicide worldwide. The signs and symptoms of SCZ, BD, and DPR vary dynamically and do not have uniform detection strategies. The main causes of delays in the detection of psychiatric disorders are negligence by immediate caregivers, varying symptoms, stigma, and limited availability of physiological signals. Motivation. The brain functionality in the patients with SCZ, BD, and DPR changes compared to the normal cognition population. The brain–heart interaction plays a crucial role in tracking the changes in cardiac activities during such disorders. Therefore, this paper explores the application of electrocardiogram (ECG) signals for the detection of three psychiatric (SCZ, BD, and DPR) disorders. Method. This paper develops ECGPsychNet an ensemble decomposition and classification technique for the automated detection of SCZ, BD, and DPR using ECG signals. Three well-known decomposition techniques, empirical mode decomposition, variational mode decomposition, and tunable Q wavelet transform (TQWT), are used to decompose the ECG signals into various subbands (SBs). Various features are extracted from the different SBs and classified using optimizable ensemble techniques using two validation techniques. Results. The developed ECGPsychNet has obtained the highest classification accuracy of 98.15% using the features from the sixth SB of TQWT. Our proposed model has the highest detection rates of 98.96%, 96.04%, and 95.12% for SCZ, DPR, and BD. Conclusions. Our developed prototype is able to detect SCZ, DPR, and BD using ECG signals. However, the automated ECGPsychNet is ready to be tested with more datasets including different races and age groups.
Parametric investigations of wireless energy transfer using strain-mediated magnetoelectric transmitter-receiver
Authors: Kumar Amritesh , Newacheck Scott , Youssef George 
Published: October 2023

Abstract
Magnetoelectric (ME) composites inherently convert magnetic energy to electrical energy and vice-versa, making them a viable technology in wireless energy transfer (WET) applications. This article focuses on identifying the optimal configuration for achieving relatively high ME power conversion efficiency in a fully ME-based transmitter/receiver composite system. Two configurations of ME composites, one in concentric composite rings and the other in layered laminate formation, have been fabricated and used alternately as transmitters and receivers. The influence of three important parameters has been experimentally studied and reported, including the effect of (1) the magnetization state of the magnetostrictive components and (2) the relative orientation of and (3) the separation distance between the transmitter and the receiver. It has been found that a higher energy conversion efficiency is obtained in a configuration where the laminated plate was used as the transmitter while the ring composites acted as the receiver. Furthermore, the location and alignment of the receiver significantly influence the output transferred power. Lastly, the distance between the transmitter and the receiver has been observed to have an exponential inverse influence on the performance of the investigated WET system. These results have been deciphered by experimentally generating horizontal and vertical magnetic field mapping around the composite systems and capacitance measurement of the piezoelectric element. Thus, this article presents a detailed study of the parameters and their influence on the performance of the ME-based WET technology, which would be extremely useful in designing and optimizing devices based on this technology.