bluuebunny/crossref_metadata_2025 huggingface dataset:
The Multi-Analytical Characterization of Calcium Oxalate Phytolith Crystals from Grapevine after Treatment with Calcination
Authors: Trouvé Gwenaëlle , Michelin Laure , Kehrli Damaris , Josien Ludovic , Rigolet Séverinne , Lebeau Bénédicte , Gieré Reto
Published: June 2023

Calcium oxalate phytoliths are one of the most prominent types of Ca speciation in the plant kingdom, and they store extensive amounts of carbon in crystalline form. Ca phytoliths were investigated in the root, trunk, and bark of Vitis vinifera Chasselas from a vineyard in Alsace, France. A multi-analytical approach was used, which included SEM coupled with EDX spectroscopy, XRD, XRF, TGA, and 13C-NMR spectroscopy. These techniques revealed that phytoliths are composed of crystalline calcium oxalate monohydrate (whewellite). The whewellite crystals exhibited mostly equant or short-prismatic habits in all of the three studied grapevine parts, but bipyramidal crystals also occurred. Raphide crystals were only observed in the root, where they were abundant. Instead of using wet chemical procedures to extract the mineral components from the organic parts of the biomass, a thermal treatment via calcination was chosen. The suitable temperature of calcination was determined through TGA experiments. The calcination of the biomass samples at 250 °C enhanced the amounts of Ca phytoliths in the residual chars. The thermal treatment, however, affected the appearance of the Ca oxalate crystals by producing surfaces that displayed macroporosity and by creating fractures. For calcination at both 300 °C and 350 °C, Ca oxalate lost a molecule of carbon monoxide to form Ca carbonate, and the modifications of the original crystal surfaces were more pronounced than those observed after thermal treatment at 250 °C.
A Review of Corrosion Behavior of Structural Steel in Liquid Lead–Bismuth Eutectic
Authors: Wang Wentao , Yang Congxin , You Yuhang , Yin Huawei
Published: June 2023

Liquid lead–bismuth eutectic alloy is one of the candidate coolants for fourth-generation nuclear power systems because of its good physical and chemical properties, neutron economic performance, and safety. However, the compatibility between the coolant and structural steel is still the main factor restricting its large-scale industrial application in the nuclear energy field. Structural steel in a liquid lead–bismuth eutectic alloy for a long time would cause severe corrosion. The erosion of structural steel by high-flow-rate liquid lead–bismuth alloy will lead to a more complex corrosion process. This paper mainly reviews the corrosion characteristics of liquid lead–bismuth and the corrosion behavior of structural steel in liquid lead-bismuth eutectic. The main methods of inhibiting liquid lead–bismuth corrosion are summarized, and future research directions are suggested.
Simulation of the Cyclic Stress–Strain Behavior of the Magnesium Alloy AZ31B-F under Multiaxial Loading
Authors: Anes Vitor , Moreira Rogério , Reis Luís , Freitas Manuel
Published: June 2023

Under strain control tests and cyclic loading, extruded magnesium alloys exhibit a special mechanism of plastic deformation (“twinning” and “de-twining”). As a result, magnesium alloys exhibit an asymmetric material behavior that cannot be fully characterized with the typical numerical tools used for steels or aluminum alloys. In this sense, a new phenomenological model, called hypo-strain, has been developed to correctly predict the cyclic stress–strain evolution of magnesium alloys. On this basis, this work aims to accurately describe the local cyclic elastic–plastic behavior of AZ31B-F magnesium alloy under multiaxial cyclic loading with Abaqus incremental plasticity. The phenomenological hypo-strain model was implemented in the UMAT subroutine of Abaqus/Standard to be used as a design tool for mechanical design. To evaluate this phenomenological approach, the results were correlated with the uniaxial and multiaxial proportional and non-proportional experimental tests. In addition, the estimates were also correlated with the Armstrong–Frederick nonlinear kinematic hardening model. The results show a good correlation between the experiments and the phenomenological hypo strain approach. The model and its implementation were validated in the strain range studied.
The Acoustic Repertoire of Bottlenose Dolphins (Tursiops truncatus) in the Cres-Lošinj Archipelago (Croatia): Site Dependent Diel and Seasonal Changes
Authors: Falkner Raffaela , Picciulin Marta , Pleslić Grgur , Rako-Gospić Nikolina
Published: June 2023

Describing the acoustic repertoire of cetaceans is necessary to understand the functionality of their sounds and the effect anthropogenic pressures have on animals living in a marine environment. This study provides a description of the acoustic repertoire of bottlenose dolphins (Tursiops truncatus) in the Cres-Lošinj archipelago based on continuous 24-h recordings collected from two monitoring stations, both inside and outside the Natura 2000 Site of Community Importance, during an 8-day period in March/April 2020 and a 13-day period in July/August 2020. A total of 1008 h were visually and aurally analyzed to identify vocalizations and investigate diel and seasonal patterns in their parameters. Furthermore, sound pressure levels were calculated for the low (63 Hz–2 kHz) and high (2 kHz–20 kHz) frequency range. Bottlenose dolphins in the Cres-Lošinj archipelago were found to produce whistles, chirps, low frequency narrow-band sounds, burst pulse sounds, and echolocation clicks showing that dolphins are present at both monitoring stations, during both diel and seasonal periods, in a comparable manner. This paper also provides evidence that whistles, chirps, and low frequency narrow-band sounds change their parameters in relation to the background noise in the area, that varies according to diel and seasonal patterns. This suggests a vocal plasticity in the species and a coping strategy to avoid masking of relevant acoustic signals for the local population in the Cres-Lošinj archipelago.
The Need for a Motor Assessment Tool for Children with Autism—An Opinion Article
Authors: Battah Hasan Wael , Lotan Meir , Moran Danny S.
Published: June 2023

There is a lot of evidence that early developmental therapy achieves impressive therapeutic results for those who require it. Therefore, developmental follow-up, which includes the process of monitoring the child’s development over time, makes it possible to identify possible developmental problems and treat them from a young age. This assumption is true in relation to all children with developmental difficulties but is mainly true in the context of children with a diagnosis of autism. However, despite the abundance of developmental scales for the neurotypical population, there are currently no valid scales for assessing motor function for children with autism. The current article focuses on the presentation of the motor delay, identified according to the literature, in many of the children with autism and requires the provision of professional and compatible treatment for these children. This motor delay and the lack of a motor assessment tool for children with autism raises the need for an adapted motor developmental assessment tool, which will produce measurable results, to enable the monitoring of the aforementioned disability and the receiving of tailored treatment from the physiotherapists who deal with the development of children with autism at an early age. The article reviews common existing assessment tools for use in assessing normal development in children with autism, presents the limitations and the challenges that arise when using these assessment tools with children on the autism spectrum and presents the need for a new developmental assessment tool that will be built and validated specifically for children with autism.
Oral HPV Infection in Women with HPV-Positive Cervix Is Closely Related to Oral Sex
Authors: Bruno Maria Teresa , Boemi Sara , Caruso Giuseppe , Sgalambro Francesco , Ferlito Salvatore , Cavallaro Antonio , Sudano Maria Chiara , Palumbo Marco
Published: June 2023

The oral transmission of HPV and, consequently, the risk of oral cancer has increased in the last years. Oral sex has often been implicated among the risk factors for oral HPV infections, however, there is still no consensus on these topics, nor on the relationship between genital and oral HPV infections. The present study aimed to evaluate the coexistence of papilloma virus, at the levels of the oral and genital mucosa, in women with a histologically confirmed HPV lesions (and a positive HPV test) at the genital level and a negative HPV control group. We also evaluated how some risk factors, such as smoking, the number of partners, age, and sexual habits can influence the possible presence of the virus itself in the oropharynx of the same women. In total, 117 unvaccinated women aged between 18 and 52 were enrolled. We found that the prevalence of oral HPV infection was high among the women with concomitant genital HPV infection (22%) compared to the HPV-negative women (0%), and the estimated odds ratio was 17.36 (95% CI: 1.02, 297.04). In none of the women with oral HPV did we find any relevant clinical lesions. The potential risk factors for HPV infections in the oropharynx and genitals were analyzed based on questionnaire responses. A multivariate analysis showed that genital HPV infections were significantly associated with a number of sexual partners > 10 (OR 138.60, 95% CI: 6.04–3181.30, p < 0.001), but the data also referred to having between 3–5 or 6–10 partners as being significant, as were a high level of education (OR 6.24, 95% CI: 1.67–4.23.26 p = 0.003), a frequency of sexual intercourse >10 (OR 91.67 95% CI: 3.20–2623.52, p = 0.004), oral sex (OR 6.16, 95% CI: 1.22–31.19, p = 0.014), and >20 cigarettes/day (OR 6.09 95% CI: 1.21–30.61, p = 0.014). Furthermore, being “separate” and having multiple sexually transmitted diseases were also significantly associated with genital HPV infection. In contrast, oral HPV infections were significantly associated with women aged 36 to 50 years (OR 27.38, 95% CI: 4.37–171.37; p = 0.000202) and oral sex (OR 95.5, 95% CI: 5.13–1782.75, p = 0.001126).Additionally, being separate, being cohabitant, lifetime sexual partners of >10, 3–5 lifetime sexual partners, <20 years of age, >10 sexual intercourse per month, occasional and regular anal sex, >20 cigarettes per day, a history of sexually transmitted disease (herpes and multiple), and having a history of genital warts were significant. Screening and early diagnosis are considered to be practically unfeasible for this category of cancer, given the lack of visible lesions; the 9-valent HPV vaccine remains the only means that could help to successfully counter the growing incidence of oral squamous cell carcinoma.
Shoulder Proprioception and Its Correlation with Pain Intensity and Functional Disability in Individuals with Subacromial Impingement Syndrome—A Cross-Sectional Study
Authors: Alfaya Fareed F. , Reddy Ravi Shankar , Alkhamis Batool Abdulelah , Kandakurti Praveen Kumar , Mukherjee Debjani
Published: June 2023

Subacromial Impingement Syndrome (SAIS) is a common shoulder condition characterized by pain and functional impairment. Proprioception, the sense of joint position and movement, is crucial in maintaining joint stability and coordinating movements. The relationship between shoulder proprioception, pain intensity, and functional disability in individuals with SAIS remains unclear, with conflicting findings in the literature. This cross-sectional study aimed to evaluate shoulder proprioception, examine its correlation with pain intensity and functional disability, and contribute to our understanding of the clinical implications of proprioceptive deficits in individuals with SAIS. Forty-two individuals were diagnosed with SAIS, and an equal number of asymptomatic controls were recruited. Shoulder proprioception was assessed using a digital inclinometer, measuring joint position sense at various angles of flexion and rotation. Pain intensity was measured using the Visual Analog Scale (VAS), and functional disability was assessed using the Shoulder Pain and Disability Index (SPADI). Results: Individuals with SAIS exhibited significantly higher joint position error (JPE) values compared to asymptomatic controls in all measured angles of flexion and rotation (p < 0.001). Strong positive correlations were observed between JPE and pain intensity (r = 0.61 to 0.71, p < 0.01) and disability (r = 0.56 to 0.68, p < 0.01). These findings suggest impaired shoulder proprioception is associated with higher pain intensity and functional disability in SAIS. This study provides evidence of impaired shoulder proprioception in individuals with SAIS and its correlation with pain intensity and functional disability. The results highlight the clinical relevance of proprioceptive deficits in SAIS and emphasize the importance of incorporating proprioceptive assessment and targeted rehabilitation interventions into managing this condition. Future research should focus on longitudinal studies with larger and more diverse samples to further understand the underlying mechanisms and evaluate the effectiveness of proprioceptive interventions in improving outcomes for individuals with SAIS.
A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave’s Ability in Breast Lesions Detection
Authors: Álvarez Sánchez-Bayuela Daniel , Ghavami Navid , Romero Castellano Cristina , Bigotti Alessandra , Badia Mario , Papini Lorenzo , Raspa Giovanni , Palomba Gianmarco , Ghavami Mohammad , Loretoni Riccardo , Calabrese Massimo , Tagliafico Alberto , Tiberi Gianluigi
Published: June 2023

Novel techniques, such as microwave imaging, have been implemented in different prototypes and are under clinical validation, especially for breast cancer detection, due to their harmless technology and possible clinical advantages over conventional imaging techniques. In the prospective study presented in this work, we aim to investigate through a multicentric European clinical trial (ClinicalTrials.gov Identifier NCT05300464) the effectiveness of the MammoWave microwave imaging device, which uses a Huygens-principle-based radar algorithm for image reconstruction and comprises dedicated image analysis software. A detailed clinical protocol has been prepared outlining all aspects of this study, which will involve adult females having a radiologist study output obtained using conventional exams (mammography and/or ultrasound and/or magnetic resonance imaging) within the previous month. A maximum number of 600 volunteers will be recruited at three centres in Italy and Spain, where they will be asked to sign an informed consent form prior to the MammoWave scan. Conductivity weighted microwave images, representing the homogeneity of the tissues’ dielectric properties, will be created for each breast, using a conductivity = 0.3 S/m. Subsequently, several microwave image parameters (features) will be used to quantify the images’ non-homogenous behaviour. A selection of these features is expected to allow for distinction between breasts with lesions (either benign or malignant) and those without radiological findings. For all the selected features, we will use Welch’s t-test to verify the statistical significance, using the gold standard output of the radiological study review.
Pulmonary Nodules in Juvenile Systemic Sclerosis: A Case-Series from the National Registry for Childhood Onset Scleroderma (NRCOS)
Authors: Li Jonathan C. , Tadros Sameh , Rosser Franziska , Torok Kathryn S.
Published: June 2023

Background: Juvenile systemic sclerosis (jSSc) is a systemic inflammatory and fibrotic autoimmune disease. Adult guidelines recommend obtaining a screening high-resolution computed tomography scan (CT) at diagnosis. As these recommendations are adopted as standard of care for jSSc, increased screening with CT may lead to increased detection of nodules. The implications of nodules identified in jSSc are unclear and unreported. Methods: A retrospective chart review was performed on the prospectively enrolled National Registry for Childhood-Onset Scleroderma (NRCOS) cohort over an enrollment period of 20 years. Clinical associations with presence of nodules and nodule characteristics were investigated. Results: In this jSSc cohort, the prevalence of pulmonary nodules was 31% (n = 17 of 54). Nodule characteristics were heterogeneous, and most displayed stability over time. More participants with nodules had structural esophageal abnormalities, restriction, and reduced diffusing capacity on lung function tests, and follow-up imaging. Most participants had multiple nodules, and although most nodules were <5 mm, most participants had at least one nodule >5 mm. Conclusions: Pulmonary nodules are seen in children with jSSc and may be related to more severe disease and/or esophageal dysfunction. More work is needed to provide guidance on radiologic follow-up and clinical management of pulmonary nodules in jSSc.
Local Recurrences in Rectal Cancer: MRI vs. CT
Authors: Grazzini Giulia , Danti Ginevra , Chiti Giuditta , Giannessi Caterina , Pradella Silvia , Miele Vittorio
Published: June 2023

Rectal cancers are often considered a distinct disease from colon cancers as their survival and management are different. Particularly, the risk for local recurrence (LR) is greater than in colon cancer. There are many factors predisposing to LR such as postoperative histopathological features or the mesorectal plane of surgical resection. In addition, the pattern of LR in rectal cancer has a prognostic significance and an important role in the choice of operative approach and. Therefore, an optimal follow up based on imaging is critical in rectal cancer. The aim of this review is to analyse the risk and the pattern of local recurrences in rectal cancer and to provide an overview of the role of imaging in early detection of LRs. We performed a literature review of studies published on Web of Science and MEDLINE up to January 2023. We also reviewed the current guidelines of National Comprehensive Cancer Network (NCCN) and the European Society for Medical Oncology (ESMO). Although the timing and the modality of follow-up is not yet established, the guidelines usually recommend a time frame of 5 years post surgical resection of the rectum. Computed Tomography (CT) scans and/or Magnetic Resonance Imaging (MRI) are the main imaging techniques recommended in the follow-up of these patients. PET-CT is not recommended by guidelines during post-operative surveillance and it is generally used for problem solving.
Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features
Authors: Zayed Yara , Hasasneh Ahmad , Tadj Chakib
Published: June 2023

Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective treatment. However, infants are unable to verbalize their symptoms, making it difficult for healthcare professionals to accurately diagnose their conditions. Crying is often the only way for infants to communicate their needs and discomfort. In this paper, we propose a medical diagnostic system for interpreting infants’ cry audio signals (CAS) using a combination of different audio domain features and deep learning (DL) algorithms. The proposed system utilizes a dataset of labeled audio signals from infants with specific pathologies. The dataset includes two infant pathologies with high mortality rates, neonatal respiratory distress syndrome (RDS), sepsis, and crying. The system employed the harmonic ratio (HR) as a prosodic feature, the Gammatone frequency cepstral coefficients (GFCCs) as a cepstral feature, and image-based features through the spectrogram which are extracted using a convolution neural network (CNN) pretrained model and fused with the other features to benefit multiple domains in improving the classification rate and the accuracy of the model. The different combination of the fused features is then fed into multiple machine learning algorithms including random forest (RF), support vector machine (SVM), and deep neural network (DNN) models. The evaluation of the system using the accuracy, precision, recall, F1-score, confusion matrix, and receiver operating characteristic (ROC) curve, showed promising results for the early diagnosis of medical conditions in infants based on the crying signals only, where the system achieved the highest accuracy of 97.50% using the combination of the spectrogram, HR, and GFCC through the deep learning process. The finding demonstrated the importance of fusing different audio features, especially the spectrogram, through the learning process rather than a simple concatenation and the use of deep learning algorithms in extracting sparsely represented features that can be used later on in the classification problem, which improves the separation between different infants’ pathologies. The results outperformed the published benchmark paper by improving the classification problem to be multiclassification (RDS, sepsis, and healthy), investigating a new type of feature, which is the spectrogram, using a new feature fusion technique, which is fusion, through the learning process using the deep learning model.
Artificial Intelligence in Dementia: A Bibliometric Study
Authors: Wu Chieh-Chen , Su Chun-Hsien , Islam Md. Mohaimenul , Liao Mao-Hung
Published: June 2023

The applications of artificial intelligence (AI) in dementia research have garnered significant attention, prompting the planning of various research endeavors in current and future studies. The objective of this study is to provide a comprehensive overview of the research landscape regarding AI and dementia within scholarly publications and to suggest further studies for this emerging research field. A search was conducted in the Web of Science database to collect all relevant and highly cited articles on AI-related dementia research published in English until 16 May 2023. Utilizing bibliometric indicators, a search strategy was developed to assess the eligibility of titles, utilizing abstracts and full texts as necessary. The Bibliometrix tool, a statistical package in R, was used to produce and visualize networks depicting the co-occurrence of authors, research institutions, countries, citations, and keywords. We obtained a total of 1094 relevant articles published between 1997 and 2023. The number of annual publications demonstrated an increasing trend over the past 27 years. Journal of Alzheimer’s Disease (39/1094, 3.56%), Frontiers in Aging Neuroscience (38/1094, 3.47%), and Scientific Reports (26/1094, 2.37%) were the most common journals for this domain. The United States (283/1094, 25.86%), China (222/1094, 20.29%), India (150/1094, 13.71%), and England (96/1094, 8.77%) were the most productive countries of origin. In terms of institutions, Boston University, Columbia University, and the University of Granada demonstrated the highest productivity. As for author contributions, Gorriz JM, Ramirez J, and Salas-Gonzalez D were the most active researchers. While the initial period saw a relatively low number of articles focusing on AI applications for dementia, there has been a noticeable upsurge in research within this domain in recent years (2018–2023). The present analysis sheds light on the key contributors in terms of researchers, institutions, countries, and trending topics that have propelled the advancement of AI in dementia research. These findings collectively underscore that the integration of AI with conventional treatment approaches enhances the effectiveness of dementia diagnosis, prediction, classification, and monitoring of treatment progress.
In-Domain Transfer Learning Strategy for Tumor Detection on Brain MRI
Authors: Terzi Duygu Sinanc , Azginoglu Nuh
Published: June 2023

Transfer learning has gained importance in areas where there is a labeled data shortage. However, it is still controversial as to what extent natural image datasets as pre-training sources contribute scientifically to success in different fields, such as medical imaging. In this study, the effect of transfer learning for medical object detection was quantitatively compared using natural and medical image datasets. Within the scope of this study, transfer learning strategies based on five different weight initialization methods were discussed. A natural image dataset MS COCO and brain tumor dataset BraTS 2020 were used as the transfer learning source, and Gazi Brains 2020 was used for the target. Mask R-CNN was adopted as a deep learning architecture for its capability to effectively handle both object detection and segmentation tasks. The experimental results show that transfer learning from the medical image dataset was found to be 10% more successful and showed 24% better convergence performance than the MS COCO pre-trained model, although it contains fewer data. While the effect of data augmentation on the natural image pre-trained model was 5%, the same domain pre-trained model was measured as 2%. According to the most widely used object detection metric, transfer learning strategies using MS COCO weights and random weights showed the same object detection performance as data augmentation. The performance of the most effective strategies identified in the Mask R-CNN model was also tested with YOLOv8. Results showed that even if the amount of data is less than the natural dataset, in-domain transfer learning is more efficient than cross-domain transfer learning. Moreover, this study demonstrates the first use of the Gazi Brains 2020 dataset, which was generated to address the lack of labeled and qualified brain MRI data in the medical field for in-domain transfer learning. Thus, knowledge transfer was carried out from the deep neural network, which was trained with brain tumor data and tested on a different brain tumor dataset.
Dual-Energy CT in Cardiothoracic Imaging: Current Developments
Authors: Alizadeh Leona S. , Vogl Thomas J. , Waldeck Stephan S. , Overhoff Daniel , D’Angelo Tommaso , Martin Simon S. , Yel Ibrahim , Gruenewald Leon D. , Koch Vitali , Fulisch Florian , Booz Christian
Published: June 2023

This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques. Since the introduction of DECT, different vendors developed distinct hard and software approaches for generating multi-energy datasets and multiple DECT applications that were developed and clinically investigated for different fields of interest. Benefits for various clinical settings, such as oncology, trauma and emergency radiology, as well as musculoskeletal and cardiovascular imaging, were recently reported in the literature. State-of-the-art applications, such as virtual monoenergetic imaging (VMI), material decomposition, perfused blood volume imaging, virtual non-contrast imaging (VNC), plaque removal, and virtual non-calcium (VNCa) imaging, can significantly improve cardiothoracic CT image workflows and have a high potential for improvement of diagnostic accuracy and patient safety.
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT
Authors: Goller Sophia S. , Rischewski Jon F. , Liebig Thomas , Ricke Jens , Siller Sebastian , Schmidt Vanessa F. , Stahl Robert , Kulozik Julian , Baum Thomas , Kirschke Jan S. , Foreman Sarah C. , Gersing Alexandra S.
Published: June 2023

Opportunistic osteoporosis screening using multidetector CT-scans (MDCT) and convolutional neural network (CNN)-derived segmentations of the spine to generate volumetric bone mineral density (vBMD) bears the potential to improve incidental osteoporotic vertebral fracture (VF) prediction. However, the performance compared to the established manual opportunistic vBMD measures remains unclear. Hence, we investigated patients with a routine MDCT of the spine who had developed a new osteoporotic incidental VF and frequency matched to patients without incidental VFs as assessed on follow-up MDCT images after 1.5 years. Automated vBMD was generated using CNN-generated segmentation masks and asynchronous calibration. Additionally, manual vBMD was sampled by two radiologists. Automated vBMD measurements in patients with incidental VFs at 1.5-years follow-up (n = 53) were significantly lower compared to patients without incidental VFs (n = 104) (83.6 ± 29.4 mg/cm3 vs. 102.1 ± 27.7 mg/cm3, p < 0.001). This comparison was not significant for manually assessed vBMD (99.2 ± 37.6 mg/cm3 vs. 107.9 ± 33.9 mg/cm3, p = 0.30). When adjusting for age and sex, both automated and manual vBMD measurements were significantly associated with incidental VFs at 1.5-year follow-up, however, the associations were stronger for automated measurements (β = −0.32; 95% confidence interval (CI): −20.10, 4.35; p < 0.001) compared to manual measurements (β = −0.15; 95% CI: −11.16, 5.16; p < 0.03). In conclusion, automated opportunistic measurements are feasible and can be useful for bone mineral density assessment in clinical routine.
The Impact of the COVID-19 Pandemic on Pediatric Dentistry: Insights from an Italian Cross-Sectional Survey
Authors: Conti Giulio , Amadori Francesca , Bordanzi Alessandra , Majorana Alessandra , Bardellini Elena
Published: June 2023

Background. The COVID-19 pandemic has had a significant impact on pediatric dentistry and also dental education. This study aimed to assess the observed changes in children’s oral health by pediatric dentists and also served as an educational tool for dentistry students during the pandemic. Methods. Postgraduate students in pediatric dentistry prepared a survey addressed to Italian pediatric dentists. Over 5476 dentists were invited to participate, and collaboration among the students took place through virtual meetings and electronic platforms. The online questionnaire was composed of 29 questions focusing on the management of pediatric patients during and after the lockdown period. A descriptive statistic was used for data analysis, and chi-square tests were performed (p < 0.05). Results. A total of 1752 pediatric dentists participated in the survey. During the lockdown, 68.3% of dentists exclusively handled dental emergencies. In the subsequent semester, a significant decrease in the number of pediatric treatments was reported. Pediatric dentists also noted a decline in children’s oral hygiene practices, a deterioration in dietary habits, and an increase in anxiety during dental procedures. Conclusions. This survey shed light on the diverse effects of the pandemic on children’s oral health and also provided valuable educational insights.
Dynamics of Fractional Delayed Reaction-Diffusion Equations
Authors: Liu Linfang , Nieto Juan J.
Published: June 2023

The long-term behavior of the weak solution of a fractional delayed reaction–diffusion equation with a generalized Caputo derivative is investigated. By using the classic Galerkin approximation method and comparison principal, the existence and uniqueness of the solution is proved in the sense of weak solution. In addition, the global attracting set of the considered system is obtained, with the help of the Sobolev embedding theorem and Halanay inequality.
Improved Recurrence Plots Compression Distance by Learning Parameter for Video Compression Quality
Authors: Murai Tatsumasa , Koga Hisashi
Published: June 2023

As the Internet-of-Things is deployed widely, many time-series data are generated everyday. Thus, classifying time-series automatically has become important. Compression-based pattern recognition has attracted attention, because it can analyze various data universally with few model parameters. RPCD (Recurrent Plots Compression Distance) is known as a compression-based time-series classification method. First, RPCD transforms time-series data into an image called “Recurrent Plots (RP)”. Then, the distance between two time-series data is determined as the dissimilarity between their RPs. Here, the dissimilarity between two images is computed from the file size, when an MPEG-1 encoder compresses the video, which serializes the two images in order. In this paper, by analyzing the RPCD, we give an important insight that the quality parameter for the MPEG-1 encoding that controls the resolution of compressed videos influences the classification performance very much. We also show that the optimal parameter value depends extremely on the dataset to be classified: Interestingly, the optimal value for one dataset can make the RPCD fall behind a naive random classifier for another dataset. Supported by these insights, we propose an improved version of RPCD named qRPCD, which searches the optimal parameter value by means of cross-validation. Experimentally, qRPCD works superiorly to the original RPCD by about 4% in terms of classification accuracy.
Population Fluctuations of the Deer Mouse (Peromyscus maniculatus) in Old-Field and Bunchgrass–Sagebrush Habitats: The Role of Agricultural Setting and Optimum Habitat
Authors: Sullivan Thomas P. , Sullivan Druscilla S.
Published: June 2023

In semiarid regions, the deer mouse (Peromyscus maniculatus) is a major small mammal species occupying perennial grassland habitats that include old-fields, native bunchgrass–sagebrush, and some agricultural settings. We investigated population changes in deer mouse populations in perennial grasslands, both natural and old-field, from 1982 to 2003 in southern British Columbia, Canada. Hypotheses (H) predicted that P. maniculatus populations will have (H1) multiannual fluctuations in abundance driven by population increases from extended breeding in summer and winter; (H2) relaxed spring reorganization events in some years leading to higher overall recruitment and survival; and (H3) interspecific competition with montane voles that causes deer mice to be lower in density when voles are higher. P. maniculatus populations in old-field and grass–sagebrush sites had clearly defined periods of high “peak” mean numbers (32–52/ha) and other times of low mean numbers (20–22/ha). Based on mean annual peak density in autumn, deer mouse populations exhibited fluctuations of 3–4 years in both habitats, but this pattern was not always present. The greater numbers of P. maniculatus in high than low years was directly related to population increases from extended breeding seasons and an increased number of lactating females, thereby supporting H1. Spring breeding season declines occurred but were similar or less in high than low years of mean abundance and were relaxed in comparison to forest populations of deer mice in other studies. Thus, H2 was supported for recruitment with high numbers of young-of-the-year breeding and total number of juvenile recruits but for survival was equivocal. Total summer survival was consistently higher in high than low population years but juvenile productivity in all years was poor. Mean abundance of P. maniculatus and M. montanus in old-field sites were highly correlated, and hence H3 was not supported. This latter result is the first, to our knowledge, of P. maniculatus coexisting in a similar pattern of population fluctuations with a Microtus species in a mainland grassland habitat. Higher than average precipitation in the year preceding a peak population of deer mice may have enhanced herbaceous vegetation and contributed to population increases in both habitats. We conclude that the old-field habitat associated with this agricultural setting provides optimum habitat for P. maniculatus and facilitates multiannual population fluctuations in this species.
Effective Modeling on Learning Ballet Online
Authors: Kim Jeongwon , Jo Iseul , Ma Younha , Yoon Hyewon , Yook Dongwon
Published: June 2023

After COVID-19, face-to-face learning was changed to online learning. However, very few effective online learning methods were available regarding physical education. Therefore, this study aimed to examine the modeling effects on learning ballet movement in the online system. We aimed to find effective modeling presentations based on objective information, expert assessments, and a kinematic approach. The study included 36 individuals who were divided into an expert modeling group, a self-modeling group, and controls. Participants performed 60 trials of Pas de basque in the acquisition phase and 10 trials without a demonstration video after 24 h. 10 min later, the reversed Pas de basque was conducted for the retention test. All groups showed improved performance after the acquisition phase, which indicated that the modeling presentation was effective despite adopting an online learning system. However, higher expert scores and more accurate joint movements were shown in the expert modeling group compared to the other groups. Therefore, expert modeling seems to be the most effective method for learning high-difficulty tasks with jumps and turns.
Integrating Augmented Reality, Gamification, and Serious Games in Computer Science Education
Authors: Lampropoulos Georgios , Keramopoulos Euclid , Diamantaras Konstantinos , Evangelidis Georgios
Published: June 2023

This study aims to evaluate the impact of using augmented reality, gamification, and serious games in computer science education. The study presents the development process of an educational mobile application, describes an experiment that was conducted and involved 117 higher education students, and analyzes the results of a 49-item paper-based questionnaire. In total, 8 research questions were explored. The results of the study revealed that several educational benefits can be yielded when integrating such applications in teaching and learning activities and actively involving students in the design and development process. In particular, the application was assessed as an effective learning tool that could enrich and improve the educational process and create interactive, inclusive, and student-centered learning environments. Its use led mostly to positive effects and experiences while maintaining the negative ones to a minimum and most students expressed positive emotions. Students were able to learn in a more enjoyable and interesting manner, and their motivation, engagement, self-efficacy, and immersion were greatly increased. Students’ innate need for autonomy, competence, and relatedness was satisfactorily met and both their intrinsic and extrinsic learning motivations were triggered. They felt a sense of belonging and cultivated their social skills. The potential of the application to improve students’ knowledge acquisition and academic achievements was also observed. The application also enabled students to improve their computational thinking and critical thinking skills. Therefore, the potential of combining augmented reality, gamification, and serious games to enhance students’ cognitive and social–emotional development was highlighted.
How E-learning Is Correlated with Competitiveness and Innovation and Critical Success Factors
Authors: Lopes Gilnei Alberto , Furtado João Carlos , Baierle Ismael Cristofer
Published: June 2023

E-learning has gained a prominent role in the education scenario, either because of its capacity for extraterritorial coverage, or because of the scale it offers for free and academic courses. How e-learning is being managed and identifying opportunities for improvement in this process is a challenge for managers. A systematic review of the literature on e-learning was carried out from the perspective of process management. The Scimat and VOSviewer software were used together to make it possible to understand the volume of publications, terms, density, and perspectives of studies on the subject on the indexing platforms, as well as pointing out challenges and trends in the area. The term e-learning does not appear as a trend driver in published articles. When related to the terms critical success factors (CSFs) and competitiveness and innovation, the greatest concentration of articles is directed to the e-learning infrastructure or technologies applied to it. As a result, it is possible to observe that the co-occurrence of e-learning with critical success factors and competitiveness and innovation is in its early stages, with scarce research in this area indicating room for future growth. E-learning entails unique business metrics that require specific tools and knowledge of technology, concepts, and the organizational environment. However, there is a dearth of publications addressing these aspects and proposing relevant methodologies and processes.
Universal Design for Learning and Instruction: Effective Strategies for Inclusive Higher Education
Authors: Espada-Chavarria Rosa , González-Montesino Rayco H. , López-Bastías José Luis , Díaz-Vega Miriam
Published: June 2023

Guaranteeing inclusive, high-quality education for all requires comprehensive changes to the curriculum so that, instead of creating or perpetuating barriers, these barriers are eliminated. Universal Design for Learning (UDL) and Universal Design for Instruction (UDI) emerge as teaching strategies that encourage inclusion in education. This study presents the implementation of both models within the higher education framework, applying them to the Spanish Sign Language and Deaf Communities degree that is studied by a large number of deaf students. For this purpose, a descriptive study is presented with a quantitative methodological approach using a survey as an instrument. Four dimensions were established for designing the curriculum: course materials, teaching strategies, synchronous course management, and asynchronous. After student assessment, the results revealed their high level of satisfaction and the importance these teaching strategies had for their motivation, comprehension, and learning of the relevant competencies. There was also recognition of the importance of blended teaching methods for active learning as a vehicle for increasing student involvement and participation. This study concludes that it is necessary to continue progressing in the practical implementation of teaching models based on Universal Design, which also supports course management.
Transformative Potential of Culturally Responsive Teaching: Examining Preservice Teachers’ Collaboration Practices Centering Refugee Youth
Authors: Walker Amy
Published: June 2023

Using a critical ethnographic approach, this research explores the experiences of preservice teachers in a Midwestern educator preparation program as they plan and implement an interdisciplinary community exploration and learning project using culturally responsive teaching practices to center local refugee youth. Data collection includes observing collaborative planning processes, collecting written reflections and photographs, and conducting post-project interviews. Findings suggest that culturally responsive teaching practices can lead to the development of asset-based mindsets of their peers through an emphasis on openness, interdisciplinary collaboration, and centering refugee youth. The implications of reframing service learning as learning and exploration are discussed, highlighting the benefits for both students and preservice teachers in terms of cultural competence and equity. Considerations for future research include the importance of longitudinal studies on the impact of cultural responsiveness in educator preparation programs. The research contributes to the understanding of effective teaching strategies for promoting equity in education and highlights the transformative potential of culturally responsive teaching on preservice teachers in collaboration with each other. Overall, engaging preservice teachers in community exploration and learning projects as culturally responsive teaching has the potential to dismantle racism, challenge biases, promote openness and partnership, and foster equity across middle-level learning spaces.
Socialization of Knowing How to Feel through the Epew in Mapuche Culture: Guidelines for Early Childhood Education
Authors: Riquelme Mella Enrique , Nahuelcheo Marcos , Padilla Soto Elisa , Calfunao Fernando , Toledo Jorge , Bizama Karina , Jara Enriqueta
Published: June 2023

Oral stories have historically been used by Indigenous peoples as an educational tool. In contexts of social diversity, where Indigenous peoples are a minority, these stories are excluded from formal education or used in ways in which their original meaning is lost. Epews are oral stories that form part of the family education of the Mapuche people. This article aims to reflect on the emotional socialization mechanisms in formal education (kindergarten and school) and also from the perspective of Mapuche family education, taking the epew as a basis for the learning process of knowing how to feel. The methodology corresponds to the Delphi method, in which 40 people participated (experts in methodology, literature, intercultural education, Mapuche academics, and Mapuche families). The results allow us to highlight the importance of the epew in the learning process of knowing how to feel in early childhood education. These results are organized into categories such as (a) the conceptualization of the epew; (b) reporting; (c) the epew and its function: Mapuche values and anti-values; (d) articulation with territory; and (e) early childhood education proposals. The results conclude that the implementation of the epew in the classroom, through the incorporation and visibility of socialization mechanisms, values, and rules of the display of emotions of the Mapuche people, constitutes a starting point for intercultural education in early childhood.
Physical Exercise Decreases Endoplasmic Reticulum Stress in Central and Peripheral Tissues of Rodents: A Systematic Review
Authors: de Sousa Fernandes Matheus Santos , Badicu Georgian , Santos Gabriela Carvalho Jurema , Filgueira Tayrine Ordonio , Henrique Rafael dos Santos , de Souza Raphael Fabrício , Aidar Felipe J. , Souto Fabrício Oliveira , Brum Patrícia Chakur , Lagranha Claudia Jacques
Published: June 2023

Endoplasmic reticulum stress (ER stress) affects many tissues and contributes to the development and severity of chronic diseases. In contrast, regular physical exercise (PE) has been considered a powerful tool to prevent and control several chronic diseases. The present systematic review aimed to evaluate the impact of different PE protocols on ER stress markers in central and peripheral tissues in rodents. The eligibility criteria were based on PICOS (population: rodents; intervention: physical exercise/physical training; control: animals that did not undergo training; outcomes: endoplasmic reticulum stress; studies: experimental). The PubMed/Medline, Science Direct, Scopus, and Scielo databases were analyzed systematically. Quality assessment was performed using SYRCLE’s risk of bias tool for animal studies. The results were qualitatively synthesized. Initially, we obtained a total of 2.490 articles. After excluding duplicates, 30 studies were considered eligible. Sixteen studies were excluded for not meeting the eligibility criteria. Therefore, 14 articles were included. The PE protocol showed decreased levels/expression of markers of ER stress in the central and peripheral tissues of rodents. PE can decrease ER stress by reducing cellular stress in the cardiac, brain, and skeletal muscle tissues in rodents. However, robust PE protocols must be considered, including frequency, duration, and intensity, to optimize the PE benefits of counteracting ER stress and its associated conditions.