bluuebunny/crossref_metadata_2025 huggingface dataset:
The Tinetti Balance Test Is an Effective Predictor of Functional Decline in Non-Hospitalized Post-COVID-19 Individuals: A Cross-Sectional Study
Authors: Bastos Janice R. M. , Ferreira Arthur S. , Lopes Agnaldo J. , Pinto Talita P. , Rodrigues Erika , dos Anjos Fabio V.
Published: November 2024

Background/Objectives: Individuals with post-COVID-19 conditions risk developing short- and/or long-term neuromuscular impairments, including postural imbalance. However, there is limited evidence showing whether balance deficits are associated with declines in the functional status in post-COVID-19 individuals. This study examined postural balance in non-hospitalized post-COVID-19 individuals using different assessment tools and tested the most relevant balance tools in predicting functional status. Methods: This cross-sectional study enrolled 60 adults split into control (n = 30) and post-COVID-19 (n = 30) groups. Postural balance was assessed in both groups using the Functional Reach Test (FRT), Berg Balance Scale (BBS), Timed Up and Go (TUG), Tinetti Balance Test (Tinetti), and Mini-BESTest (MBT). Functional status in the post-COVID-19 group was assessed using post-COVID-19 functional status (PCFS). Results: Significant differences in postural stability between groups were found only for the FRT. All balance tests showed a statistically significant correlation with PCFS in the post-COVID-19 group, with better performance in all tests being associated with better functional status: Tinetti (r = −0.584), FRT (r = −0.542), MBT (r = −0.530), BBS (r = −0.415) and TUG (r = 0.368). Tinetti was the independent variable that significantly played an important role in determining PCFS (adjusted R2 = 0.318, p < 0.001). Conclusions: Post-COVID-19 functional status is best determined by the Tinetti Balance Test, making it an effective tool for assessing postural balance deficits in this population, with potential implications for postural control assessment and rehabilitation.
The Impact of Medial Meniscal Extrusion on Cartilage of the Medial Femorotibial Joint—A Retrospective Analysis Based on Quantitative T2 Mapping at 3.0T
Authors: Hoppe Paul Lennart , Priol Moritz , Springer Bernhard , Waldstein-Wartenberg Wenzel , Böhler Christoph , Windhager Reinhard , Trattnig Siegfried , Apprich Sebastian
Published: November 2024

Background/Objectives: The aim of this study was the investigation of any correlation between medial meniscal extrusion (MME) and T2 relaxation times. Furthermore, the impact of different meniscal morphologies on the femoral cartilage was assessed. Methods: Fifty-nine knees of fifty-five patients (twenty-four female, thirty-one male) with a mean age of 33.7 ± 9.2 years and without risk factors for MME or osteoarthritis were examined in a 3.0T MRI. MME was assessed quantitatively in accordance with BLOKS score. T2 maps were calculated from sagittal 2D MESE sequences. The region of interest was defined as the load-bearing cartilage at the medial femoral condyle and analysis was performed on two consecutive slices. T2 values were correlated to MME; furthermore, mean T2 values were compared in different grades of MME. Results: T2 values showed a strong correlation with increasing MME (r = 0.635; p < 0.001) in an exponential pattern. Analogously, knees with MME ≥ 3 mm showed statistically significant higher T2 values (p < 0.001) compared to knees with MME ≤ 2 mm and 2.1–2.9 mm; between the latter two, no differences in T2 values were found. Conclusions: T2 values showed a strong correlation with increasing MME. Consequently, MME ≥ 3 mm has a detectable impact on the cartilage of the femur.
Midwife-Led Versus Obstetrician-Led Perinatal Care for Low-Risk Pregnancy: A Systematic Review and Meta-Analysis of 1.4 Million Pregnancies
Authors: Sriram Shyamkumar , Almutairi Fahad M. , Albadrani Muayad
Published: November 2024

Background: The optimum model of perinatal care for low-risk pregnancies has been a topic of debate. Obstetrician-led care tends to perform unnecessary interventions, whereas the quality of midwife-led care has been subject to debate. This review aimed to assess whether midwife-led care reduces childbirth intervention and whether this comes at the expense of maternal and neonatal wellbeing. Methods: PubMed, Scopus, Cochrane Library, and Web of Science were systematically searched for relevant studies. Studies were checked for eligibility by screening the titles, abstracts, and full texts. We performed meta-analyses using the inverse variance method using RevMan software version 5.3. We pooled data using the risk ratio and mean difference with the 95% confidence interval. Results: This review included 44 studies with 1,397,320 women enrolled. Midwife-led care carried a lower risk of unplanned cesarean and instrumental vaginal deliveries, augmentation of labor, epidural/spinal analgesia, episiotomy, and active management of labor third stage. Women who received midwife-led care had shorter hospital stays and lower risks of infection, manual removal of the placenta, blood transfusion, and intensive care unit (ICU) admission. Furthermore, neonates delivered under midwife-led care had lower risks of acidosis, asphyxia, transfer to specialist care, and ICU admission. Postpartum hemorrhage, perineal tears, APGAR score < 7, and other outcomes were comparable between the two models of management. Conclusions: Midwife-led care reduced childbirth interventions with favorable maternal and neonatal outcomes in most cases. We recommend assigning low-risk pregnancies to midwife-led perinatal care in health systems with infrastructure allowing for smooth transfer when complications arise. Further research is needed to reflect the situation in low-resource countries.
Multimorbidity Patterns and Periodontal Diseases in a French Hospital-Based Dental School: A Retrospective Cross-Sectional Study
Authors: Robert Blandine , Bonjour Maxime , Grosgogeat Brigitte , Gritsch Kerstin
Published: November 2024

Objectives: To assess the prevalence of systemic pathologies associated with periodontal diseases to determine multimorbidity patterns and risk factors for periodontal care. Methods: A single-center cross-sectional study analyzed patient records from 1 January 2019 to 31 December 2021 at the Department of Periodontology, part of the Dental Service of a hospital-based dental school in Lyon, France. The anonymized data included patient-reported medical history (questionnaire) and billing for periodontal procedures. Data were compared between patients in the Department of Periodontology and from Other Departments of the Dental Service. The association between clinically relevant pathologies, as defined as multimorbidity, and admission in the Department of Periodontology were assessed with logistic regression. Prevalences between the Department of Periodontology and the Other Departments of the Dental Service were compared with chi-squared tests. Relationship among pathologies was described through correlation analysis. Statistical analyses were conducted using R software with a significance level set at p < 0.05. Results: This study included records of 20,945 patients in the Dental Service with 1205 periodontal procedures performed in the Department of Periodontology. Patients admitted for periodontal care were older and mostly female (p-value < 0.001). The most frequent systemic pathologies were hypertension and diabetes in the Department of Periodontology. Hypertension associated with diabetes was the most frequent multimorbidity pattern, while the most frequent triad of multimorbidity was hypertension/diabetes/cardiac rhythm disorders. Patients with diabetes had a 1.49 times higher likelihood of admission to the Department of Periodontology (OR = 1.49 [1.20; 1.86]), with age also being a significant risk factor but with a smaller effect size (OR = 1.02 [1.01; 1.03]). Conclusions: Within the limitations of this study, hypertension, diabetes, cardiac rhythm disorders, and chronic renal insufficiency were identified as prevalent multimorbidity in the Department of Periodontology. Multimorbidity including diabetes seems to constitute a risk factor requiring periodontal care.
Multisystem Inflammatory Syndrome of Adults (MIS-A) as Delayed Severe Presentation of SARS-CoV-2 Infection: A Description of Two Cases
Authors: Raffeiner Bernd , Rojatti Marco , Tröbinger Christian , Nailescu Adriana Manuela , Pagani Leonardo
Published: November 2024

Background: SARS-CoV-2 infection can lead to a potentially life-threatening condition known as SARS-CoV-2-associated multisystem inflammatory syndrome in children (MIS-C), which differs from the severe lung disease and thrombotic complications commonly seen in adults. Recently, similar cases have been identified in adults, characterized by a clinical multisystem inflammatory syndrome referred to as MIS-A, which can emerge as a late and severe complication of SARS-CoV-2 infection. Case Presentation: We report two cases of MIS-A that were recently admitted to our hospital. Both patients developed a severe multisystem inflammatory syndrome despite experiencing only mild SARS-CoV-2 infection. Key clinical features in both cases included significant systemic inflammation, prominent cardiac involvement, and thrombocytopenia. Prior SARS-CoV-2 infection was confirmed through serological testing. Treatment protocols for MIS-C, including steroids and immunoglobulins, proved effective for both patients. Conclusions: Clinicians should remain vigilant for MIS-A in the context of ongoing SARS-CoV-2 infection worldwide. This infection, even when presenting with mild or no symptoms, can progress to a life-threatening hyperinflammatory syndrome with cardiac implications if not promptly recognized and treated.
Sex Differences in Long-Term Cardiovascular Outcomes and Mortality After COVID-19 Hospitalization During Alpha, Delta and Omicron Waves
Authors: Kopp Kristen , Motloch Lukas J. , Lichtenauer Michael , Boxhammer Elke , Hoppe Uta C. , Berezin Alexander E. , Gareeva Diana , Lakman Irina , Agapitov Alexander , Sadikova Liana , Timiryanova Venera , Davtyan Paruir , Badykova Elena , Zagidullin Naufal
Published: November 2024

Background: Increased mortality and occurrence of cardiovascular (CV) outcomes during hospitalization and in short-term follow-up for moderate to severe SARS-CoV-2 infection have been associated with male sex, yet data regarding long-term outcomes by sex and COVID-19 variant (Alpha, Delta, and Omicron) are limited. Methods: This prospective study of 4882 patients examines potential differences by sex in the occurrence of primary combined cardiovascular outcomes (CV death, CV hospitalization, myocardial infarction (MI), stroke, pulmonary embolism) as well as secondary outcomes (CV death, cardiovascular hospitalizations, myocardial infarction, stroke, pulmonary embolism) at 18-month follow-up after urgent hospitalization for SARS-CoV-2-associated pneumonia, as well as evaluating for differences during the three COVID-19 waves. Survival rate was analyzed for the entire cohort by sex and SARS-CoV-2 variant and adjusted for age using the multiple Kaplan–Meier method. To compare survival in groups of men and women for each wave, the Gehan–Wilcoxon test was applied with significance p < 0.05. Univariate Cox proportional hazards models were used to search for potential risk factors of CV death at 18-months follow-up separately for men and women in each COVID-19 wave. Results: Men had significantly higher 18-month CV mortality compared to women in the Delta wave (6.13% men vs. 3.62% women, p = 0.017). Although men had higher percentages of all other CV endpoints (excepting pulmonary embolism) at follow-up during the Delta wave, none were significant compared with women, except for the combined CV endpoint (16.87% men vs. 12.61% women, p = 0.017). No significant differences by sex in CV outcomes were seen during the Alpha and Omicron variants. Discrepancies in CV outcomes in demographical data and concomitant disease between the COVID-19 variants of concern existed. Conclusions: Higher male mortality and higher but non-significant incidences of CV outcomes occurred during the Delta wave of the COVID-19 pandemic, with the lowest incidence of CV outcomes observed during the Omicron variant.
Natural History of Auditory Function in Patients with Alport Syndrome: A Case Series Study
Authors: Nam Juyun , Jung Hyuntaek , Won Dongju , Gee Heon Yung , Choi Jae Young , Jung Jinsei
Published: November 2024

Background: Alport syndrome (AS) is a genetic disorder characterized by progressive renal disease, ocular abnormalities, and sensorineural hearing loss. However, the audiological profile of patients with AS remains elusive. Thus, this study aims to evaluate the natural history of auditory function in patients with AS. Methods: Exome or targeted sequencing for deafness genes was performed to confirm the pathogenic variants in patients with AS. Results: We identified fifteen individuals with AS who carried pathogenic variants of COL4A3, COL4A4, or COL4A5. Among fifteen, twelve (80%) showed hematuria, and six (40%) showed proteinuria. The patients exhibited bilateral sensorineural hearing loss, which was progressive and symmetric. The hearing thresholds increased according to age and plateaued at the level of 53 dB HL, indicating the hearing loss did not reach the severe-to-moderate level. The auditory dysfunction showed a distinct natural history depending on the inheritance pattern, but there was no remarkable difference between males and females among X-linked AS. Conclusions: Auditory dysfunction in AS is progressive up to the level of moderate hearing loss. Precise auditory rehabilitation for patients with AS is warranted depending on the inheritance pattern and genetic predisposition.
Exploring Metabolic Mechanisms in Calcific Tendinopathy and Shoulder Arthrofibrosis: Insights and Therapeutic Implications
Authors: Alam Shahenvaz , Sargeant Marisa Shauna , Patel Ronak , Jayaram Prathap
Published: November 2024

Rotator cuff calcific tendinopathy and arthrofibrosis of the shoulder (adhesive capsulitis) are debilitating musculoskeletal disorders that significantly impact joint function and impair quality of life. Despite its high prevalence and common clinical presentation, the metabolic mechanisms underlying these conditions characterized by pain, and reduced mobility, remain poorly understood. This review aims to elucidate the role of metabolic processes implicated in the pathogenesis of calcific tendinopathy and shoulder arthrofibrosis. We will be focusing on the mechanistic role of how these processes contribute to disease progression and can direct potential therapeutic targets. Calcific tendinopathy is marked by aberrant calcium deposition within tendons, influenced by disrupted calcium and phosphate homeostasis, and altered cellular responses. Key molecular pathways, including bone morphogenetic proteins (BMPs), Wnt signaling, and transforming growth factor-beta (TGF-β), play crucial roles in the pathophysiology of calcification, calcium imbalance, and muscle fibrosis. In contrast, shoulder arthrofibrosis involves excessive collagen deposition and fibrosis within the shoulder joint capsule, driven by metabolic dysregulation and inflammation. The TGF-β signaling pathway and inflammatory cytokines, such as interleukin-6 (IL-6), are central to the fibrotic response. A comparative analysis reveals both shared and distinct metabolic pathways between these conditions, highlighting the interplay between inflammation, cellular metabolism, extracellular matrix remodeling, calcific deposition, and calcium migration to the glenohumeral joints, resulting in adhesive capsulitis, thereby providing insights into their pathophysiology. This review discusses current therapeutic approaches and their limitations, advocating for the development of targeted therapies that address specific metabolic dysregulations. Future therapeutic strategies focus on developing targeted interventions that address the underlying metabolic dysregulation, aiming to improve patient outcomes and advance clinical management. This review offers a comprehensive overview of the metabolic mechanisms involved in calcific tendinopathy and shoulder arthrofibrosis, providing a foundation for future research and therapeutic development.
The Application of Mohs Micrographic Surgery in the Treatment of Acral Basal Cell Carcinoma: A Report of Two Cases
Authors: Żółkiewicz Jakub , Banciu Laura , Sławińska Martyna , Frumosu Mariana , Tebeică Tiberiu , Sobjanek Michał , Leventer Mihaela
Published: November 2024

Background/Objectives: Mohs micrographic surgery (MMS) is a precise skin surgery technique that is particularly useful in the treatment of high-risk skin cancers and tumors located in challenging anatomical areas. Methods: we report two cases of basal cell carcinoma located in the acral areas effectively treated using MMS. Results: the presented cases demonstrate that MMS is an excellent surgical modality providing outstanding medical, cosmetic, and functional outcomes. Moreover, this study provides another dermoscopic presentation of acral basal cell carcinoma in a patient without the diagnosis of hereditary genetic syndromes associated with an increased risk of skin cancer. Conclusions: basal cell carcinoma located on hands and feet, albeit rare, should be included in the differential diagnosis of amelanotic skin tumors in acral areas.
Suspicious Financial Activity in the Context of In-Game Asset Exchange Marketplace
Authors: Eminov Emil , Flowerday Stephen V.
Published: November 2024

In this study, we investigated the expanding problem of suspicious activity when using online in-game asset trading platforms. The decentralized structures and anonymity offered by these platforms provide a basis for suspicious actions, creating a threat to the virtual economy. By evaluating 18,157 rows of anonymized transaction data from 38 unique sellers with the help of the interquartile range approach and network analysis, we were able to identify suspicious activities. The results highlight suspicious online activities of individual transactions. This research contributes by identifying new, concerning trends and unraveling complex networks by analyzing in-game asset transaction data. It also assists in informing experts and lawmakers about new suspicious activities.
Development of Nanocomposite Microspheres for Nasal Administration of Deferiprone in Neurodegenerative Disorders
Authors: Boyuklieva Radka , Katsarov Plamen , Zagorchev Plamen , Abarova Silviya , Hristozova Asya , Pilicheva Bissera
Published: November 2024

Elevated brain iron levels are characteristic of many neurodegenerative diseases. As an iron chelator with short biological half-life, deferiprone leads to agranulocytosis and neutropenia with a prolonged therapeutic course. Its inclusion in sustained-release dosage forms may reduce the frequency of administration. On the other hand, when administered by an alternative route of administration, such as the nasal route, systemic exposure to deferiprone will be reduced, thereby reducing the occurrence of adverse effects. Direct nose-to-brain delivery has been raised as a non-invasive strategy to deliver drugs to the brain, bypassing the blood–brain barrier. The aim of the study was to develop and characterize nanocomposite microspheres suitable for intranasal administration by combining nano- and microparticle-based approaches. Nanoparticles with an average particle size of 213 ± 56 nm based on the biodegradable polymer poly-ε-caprolactone were developed using the solvent evaporation method. To ensure the deposition of the particles in the nasal cavity and avoid exhalation or deposition into the small airways, the nanoparticles were incorporated into composite structures of sodium alginate obtained by spray drying. Deferiprone demonstrated sustained release from the nanocomposite microspheres and high iron-chelating activity.
Video WeAther RecoGnition (VARG): An Intensity-Labeled Video Weather Recognition Dataset
Authors: Gupta Himanshu , Kotlyar Oleksandr , Andreasson Henrik , Lilienthal Achim J.
Published: November 2024

Adverse weather (rain, snow, and fog) can negatively impact computer vision tasks by introducing noise in sensor data; therefore, it is essential to recognize weather conditions for building safe and robust autonomous systems in the agricultural and autonomous driving/drone sectors. The performance degradation in computer vision tasks due to adverse weather depends on the type of weather and the intensity, which influences the amount of noise in sensor data. However, existing weather recognition datasets often lack intensity labels, limiting their effectiveness. To address this limitation, we present VARG, a novel video-based weather recognition dataset with weather intensity labels. The dataset comprises a diverse set of short video sequences collected from various social media platforms and videos recorded by the authors, processed into usable clips, and categorized into three major weather categories, rain, fog, and snow, with three intensity classes: absent/no, moderate, and high. The dataset contains 6742 annotated clips from 1079 videos, with the training set containing 5159 clips and the test set containing 1583 clips. Two sets of annotations are provided for training, the first set to train the models as a multi-label weather intensity classifier and the second set to train the models as a multi-class classifier for three weather scenarios. This paper describes the dataset characteristics and presents an evaluation study using several deep learning-based video recognition approaches for weather intensity prediction.
Considerations for a Micromirror Array Optimized for Compressive Sensing (VIS to MIR) in Space Applications
Authors: Dauderstädt Ulrike , Dürr Peter , Kunze Detlef , Francés González Sara , Borrelli Donato , Palombi Lorenzo , Raimondi Valentina , Wagner Michael
Published: November 2024

Earth observation (EO) is crucial for addressing environmental and societal challenges, but it struggles with revisit times and spatial resolution. The EU-funded SURPRISE project aims to improve EO capabilities by studying space instrumentation using compressive sensing (CS) implemented through spatial light modulators (SLMs) based on micromirror arrays (MMAs) to improve the ground sampling distance. In the SURPRISE project, we studied the development of an MMA that meets the requirements of a CS-based geostationary instrument working in the visible (VIS) and mid-infrared (MIR) spectral ranges. This paper describes the optical simulation procedure and the results obtained for analyzing the performance of such an MMA with the goal of identifying a mirror design that would allow the device to meet the optical requirements of this specific application.
Applying a Support Vector Machine (SVM-RFE) Learning Approach to Investigate Students’ Scientific Literacy Development: Evidence from Asia, Europe, and South America
Authors: Li Jian , Wang Jianing , Xue Eryong
Published: November 2024

Cultivating scientific literacy is a goal widely shared by educators and students around the world. Many studies have sought to enhance students’ proficiency in scientific literacy through various approaches. However, there is a need to explore the attributes associated with advanced levels of scientific literacy, especially the influence of contextual factors. In this context, our study employs a machine learning technique—the SVM-RFE algorithm—to identify the critical characteristics of students with strong scientific literacy in Asia, Europe, and South America. Our research has pinpointed 30 key factors from a broader set of 162 contextual factors that are indicative of outstanding scientific literacy among 15-year-old secondary school students. By utilizing student samples from the three continents, our study provides a comprehensive analysis of these factors across the entire dataset, along with a comparative examination of the optimal set of key factors between continents. The findings highlight the importance of these key factors, which should be considered by educational policymakers and school leaders when developing educational policies and instructional strategies to foster the most effective development of scientific literacy.
Investigations on Microstructure, Mechanical, and Wear Properties, with Strengthening Mechanisms of Al6061-CuO Composites
Authors: Mantha Subrahmanya Ranga Viswanath , Kumar Gonal Basavaraja Veeresh , Pramod Ramakrishna , Rao Chilakalapalli Surya Prakasha
Published: November 2024

Metal matrix composites (MMCs) reinforced with Copper Oxide (CuO) and Aluminum (Al) 6061 (Al6061) alloys are being studied to determine their mechanical, physical, and dry sliding wear properties. The liquid metallurgical stir casting method with ultrasonication was employed for fabricating Al6061-CuO microparticle-reinforced composite specimens by incorporating 2–6 weight percent (wt.%) CuO particles into the matrix. Physical, mechanical, and dry sliding wear properties were investigated in Al6061-CuO MMCs, adopting ASTM standards. The experimental results show that adding CuO to an Al6061 alloy increases its density by 7.54%, hardness by 45.78%, and tensile strength by 35.02%, reducing percentage elongation by 40.03%. Dry wear measurements on a pin-on-disc apparatus show that Al6061-CuO MMCs outperform the Al6061 alloy in wear resistance. Al6061-CuO MMCs’ strength has been predicted using many strengthening mechanism models and its elastic modulus through several models. The strengthening of Al6061-CuO MMCs is predominantly influenced by thermal mismatch, more so than by Hall–Petch, Orowan strengthening, and load transfer mechanisms. As the CuO content in the composite increases, the strengthening effects due to dislocation interactions between the matrix and reinforcement particles, the coefficient of thermal expansion (CTE) difference, grain refinement, and load transfer consistently improve. The Al6061-CuO MMCs were also examined using an optical microscope (OM), energy-dispersive spectroscopy (EDS), X-ray diffraction (XRD), and scanning electron microscopy (SEM) before and after fracture and wear tests. The investigation shows that an Al6061-CuO composite material with increased CuO reinforcement showed higher mechanical and tribological characteristics.
Machining-Induced Burr Suppression in Edge Trimming of Carbon Fibre-Reinforced Polymer (CFRP) Composites by Tool Tilting
Authors: Tima Tamás , Geier Norbert
Published: November 2024

Several challenges arise during edge trimming of carbon fibre-reinforced polymer (CFRP) composites, such as the formation of machining-induced burrs and delamination. In a recent development, appropriate-quality geometric features in CFRPs can be machined using special cutting tools and optimised machining parameters. However, these suitable technologies quickly become inappropriate due to the accelerated tool wear. Therefore, the main aim of our research was to find a novel solution for maintaining the machined edge quality even if the tool condition changed significantly. We developed a novel mechanical edge-trimming technology inspired by wobble milling, i.e., the composite plate compression is governed by the proper tool tilting. The effectiveness of the novel technology was tested through mechanical machining experiments and compared with that of conventional edge-trimming technology. Furthermore, the influences of the tool tilting angle and the permanent chamfer size on the burr characteristics were also investigated. A one-fluted solid carbide end mill with a helix angle of 0° was applied for the experiments. The machined edges were examined trough stereomicroscopy and scanning electron microscopy. The images were evaluated through digital image processing. Our results show that multi-axis edge-trimming technology produces less extensive machining-induced burrs than conventional edge trimming by an average of 50%. Furthermore, we found that the tool tilting angle has a significant impact on burr size, while permanent chamfer does not influence it. These findings suggest that multi-axis edge trimming offers a strong alternative to conventional methods, especially when using end-of-life cutting tools, and highlight the importance of selecting the optimal tool tilting angle to minimize machining-induced burrs.
Waves Generated by the Horizontal Motions of a Bottom Disturbance
Authors: Chen Yongbo , Hayatdavoodi Masoud , Zhao Binbin , Ertekin R. Cengiz
Published: November 2024

Waves generated by a horizontally moving disturbance on the seabed have been studied by developing two numerical models, namely, the Navier–Stokes and the Green–Naghdi equations. Various geometries of the bottom disturbances are considered, and waves generated due to a single motion and multiple oscillatory motions of the bottom disturbances are investigated by the two models. Discussion is provided on how the motion of the disturbance on the seafloor results in the generation of surface waves. The wave-field parameters investigated include the surface elevation, velocity, pressure fields and wave celerity. A parametric study is conducted to assess the effect of the geometry of the disturbance and the kinematic characteristics on the wave generation. It is shown that both linear and nonlinear waves can be generated by a horizontally moving disturbance on the seabed. Long waves, followed by a series of dispersive waves, are produced by the single motion of the bottom disturbance. It is also found that, under appropriate conditions, there would be a balance between nonlinearity and dispersion, such that the generated waves propagate over a flat seafloor with little to no change in their form and shape.
Underwater Object Detection Algorithm Based on an Improved YOLOv8
Authors: Zhang Fubin , Cao Weiye , Gao Jian , Liu Shubing , Li Chenyang , Song Kun , Wang Hongwei
Published: November 2024

Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. This paper proposes an underwater object detection algorithm based on an improved YOLOv8 model. First, the introduction of CIB building blocks into the backbone network, along with the optimization of the C2f structure and the incorporation of large-kernel depthwise convolutions, effectively enhances the model’s receptive field. This improvement increases the capability of detecting multi-scale objects in complex underwater environments without adding a computational burden. Next, the incorporation of a Partial Self-Attention (PSA) module at the end of the backbone network enhances model efficiency and optimizes the utilization of computational resources while maintaining high performance. Finally, the integration of the Neck component from the Gold-YOLO model improves the neck structure of the YOLOv8 model, facilitating the fusion and distribution of information across different levels, thereby achieving more efficient information integration and interaction. Experimental results show that YOLOv8-CPG significantly outperforms the traditional YOLOv8 in underwater environments. Precision and Recall show improvements of 2.76% and 2.06%. Additionally, mAP50 and mAP50-95 metrics have increased by 1.05% and 3.55%, respectively. Our approach provides an efficient solution to the difficulties encountered in underwater object detection.
Optimizing Particle Density for Accurate Wave Simulation: A Comparative Study of Non-Breaking and Breaking Wave Conditions
Authors: Nguyen Thi-Quynh , Kwon Kyong-Hwan , Park Chang-Wook , Lee Kwang-Ho
Published: November 2024

This study investigates the optimal particle density for accurate wave simulation in non-breaking and breaking wave conditions using Smoothed Particle Hydrodynamics (SPH). Simulations were conducted using various particle densities, or particles per wavelength, to evaluate their impact on simulation accuracy and computational efficiency. In tests involving regular, non-breaking waves, particle densities in the range of np per L = 560 to 800 were found to provide satisfactory accuracy and computational efficiency. Increasing the particle density beyond np per L = 800 for more complex setups involving breaking waves did not significantly improve accuracy but resulted in much higher computational costs. Overall, the range of np per L = 560 to 800 offers the best balance between accuracy and efficiency, making it a practical choice for simulations with limited resources. This study underscores the trade-offs between accuracy and computational demand, providing guidance on the selection of particle density for various wave simulation scenarios.
High-Yield-Related Genes Participate in Mushroom Production
Authors: Wang Fang , Li Fengzhu , Han Luyang , Wang Jingzi , Ding Xupo , Liu Qinhong , Jiang Mingguo , Li Hailin
Published: November 2024

In recent years, the increasing global demand for mushrooms has made the enhancement of mushroom yield a focal point of research. Currently, the primary methods for developing high-yield mushroom varieties include mutation- and hybridization-based breeding. However, due to the long breeding cycles and low predictability associated with these approaches, they no longer meet the demands for high-yield and high-quality varieties in the expansive mushroom market. Modern molecular biology technologies such as RNA interference (RNAi) and gene editing, including via CRISPR-Cas9, can be used to precisely modify target genes, providing a new solution for mushroom breeding. The high-yield genes of mushrooms can be divided into four categories based on existing research results: the genes controlling mycelial growth are very suitable for genetic modification; the genes controlling primordium formation are directly or indirectly regulated by the genes controlling mycelial growth; the genes controlling button germination are more difficult to modify; and the genes controlling fruiting body development can be regulated during the mycelial stage. This article reviews the current research status for the four major categories of high-yield-related genes across the different stages of mushroom growth stages, providing a foundation and scientific basis for using molecular biology to improve mushroom yield and promote the economic development of the global edible-mushroom industry.
Additives in Processed Foods as a Potential Source of Endocrine-Disrupting Chemicals: A Review
Authors: Paramasivam Anand , Murugan Rajadurai , Jeraud Mathew , Dakkumadugula Angel , Periyasamy Ravisankar , Arjunan Selvam
Published: November 2024

Processed foods, accounting for most consumable food categories today, contain considerable amounts of food additives. Food additives are substances added to food products to improve taste, consistency, appearance, or shelf life. Various food additives, such as phthalates, bisphenol A, tartrazine, erythrosine, artificial sweeteners, and parabens, have been identified as potential sources of endocrine-disrupting chemicals (EDCs) in processed foods. EDCs are substances that frequently interfere with the regular functioning of the endocrine system, creating an unusual environment in the biological system, which leads to adverse health effects such as the disruption of hormone synthesis, receptor binding, and signal transduction pathways, as well as energy metabolic homeostatic disorders which potentially increasing the risk of obesity, type-2 diabetes, cardiometabolic diseases and may also trigger allergic reactions. Consequently, they can also impact mammary gland development, and reproductive function, further leading to developmental abnormalities. This review aims to insights into the various food additives that act as potential endocrine-disrupting chemicals (EDCs) and to describe their applications in the food industry, as well as the failure of hormonal homeostatic mechanisms, which eventually result in hazardous health effects. It also outlines strategies to reduce the use of food additives and suggests alternative additives with minimal or no endocrine-disrupting properties, highlighting their importance for maintaining human health.
Left Atrial Strain: State of the Art and Clinical Implications
Authors: Javadi Niloofar , Bismee Nadera N. , Abbas Mohammed Tiseer , Scalia Isabel G. , Pereyra Milagros , Baba Ali Nima , Attaripour Esfahani Sogol , Awad Kamal , Farina Juan M. , Ayoub Chadi , Arsanjani Reza
Published: November 2024

The assessment of left atrial strain (LAS) has emerged as an essential component in the evaluation of cardiac function, especially in pathologies such as heart failure and atrial fibrillation. This narrative review aims to outline the available methods for assessing LAS with a major emphasis on speckle-tracking echocardiography techniques. Other imaging modalities, including cardiac magnetic resonance and cardiac computed tomography, also provide important information on LA dynamics but have disadvantages with respect to cost and availability. The current narrative review underlines basic concepts such as the accurate assessment of LAS and discusses the clinical relevance of LAS by pointing out its significant diagnostic and prognostic role in several cardiovascular conditions. The aim of this article is to discuss the current integration of LAS into clinical practice with a view to further improving patient management and treatment strategies.
Is the Sublingual Artery a Reliable Alternative for Intraoral Anastomoses in Head and Neck Free-Flap Reconstruction? Anatomical Basis and Preliminary Results
Authors: Starke Vasco , Wallner Jürgen , Stigler Robert , Mannschatz Sidney , Müller Jakob , Brenner Erich
Published: November 2024

Background/Objectives: Head and neck free-flap reconstructions are often required to treat tumors or extensive post-traumatic jaw defects. The facial artery is the standard receiving vessel for intraoral microvascular anastomoses. However, its use is associated with several disadvantages, such as lesions of buccal nerve branches of the facial nerve or the parotid duct, as well as variability in course and diameter. The aim of this study is to investigate whether branches of the sublingual artery can be considered as an alternative intraoral supply vessel to the facial artery to avoid these drawbacks. Methods: Twelve formalin-fixed cadaveric heads with 24 sides (n = 24) were dissected. The origin, course, branching pattern, and distribution of the sublingual artery were examined. In addition, the diameters of the branches of the sublingual artery were assessed to identify potential supply vessels for anastomoses. Results: In ten of the twenty-four cases (41.7%), the sublingual artery originated from the lingual artery, and in nine cases (37.5%), the lingual artery originated from the facial artery. The main trunk of the sublingual artery was present in the floor of the mouth in all cases (100%), with a diameter of ≥0.9 mm in vitro (1 mm in vivo). In 15 of the 24 half heads (62.5%), branches of the sublingual artery with ≥0.9 mm were identified in this space, with the main branch being considerably stronger. Conclusions: The large diameter of the sublingual artery in the floor of the mandible suggests that this vessel or its branches could be considered as alternative pedicles for intraoral anastomoses in mandibular microvascular free-flap grafts.
Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils
Authors: Buttafuoco Gabriele
Published: November 2024

Uncertainty assessment is an essential part of modeling and mapping the spatial variability of key soil properties, such as texture. The study aimed to compare sequential Gaussian simulation (SGS) and turning bands simulation (TBS) for assessing the uncertainty in unknown values of the textural fractions accounting for their compositional nature. The study area was a forest catchment (1.39 km2) with soils classified as Typic Xerumbrepts and Ultic Haploxeralf. Samples were collected at 135 locations (0.20 m depth) according to a design developed using a spatial simulated annealing algorithm. Isometric log-ratio (ilr) was used to transform the three textural fractions into a two-dimensional real vector of coordinates ilr.1 and ilr.2, then 100 realizations were simulated using SGS and TBS. The realizations obtained by SGS and TBS showed a strong similarity in reproducing the distribution of ilr.1 and ilr.2 with minimal differences in average conditional variances of all grid nodes. The variograms of ilr.1 and ilr.2 coordinates were better reproduced by the realizations obtained by TBS. Similar results in reproducing the texture data statistics by both algorithms of simulation were obtained. The maps of expected values and standard deviations of the three soil textural fractions obtained by SGS and TBS showed no notable visual differences or visual artifacts. The realizations obtained by SGS and TBS showed a strong similarity in reproducing the distribution of isometric log-ratio coordinates (ilr.1 and ilr.2). Overall, their variograms and data were better reproduced by the realizations obtained by TBS.
Left Ventricular Strains and Right Ventricular Longitudinal Shortening Are Associated in Healthy Adults—A Detailed Analysis from the Three-Dimensional Speckle-Tracking Echocardiographic MAGYAR-Healthy Study
Authors: Nemes Attila , Kormányos Árpád , Ambrus Nóra , Lengyel Csaba
Published: November 2024

Introduction: The right ventricle (RV) lies on the left ventricle (LV), and their shapes and movements are characteristic and significantly different. The aim of the present study was to investigate the relationship between three-dimensional speckle-tracking echocardiography (3DSTE)-derived LV strains, which represent LV contractility as quantitative features, and tricuspid annular plane systolic excursion (TAPSE) as determined by M-mode echocardiography, which represents the longitudinal movement of the RV, in healthy adults. Methods: A total of 79 healthy adults (mean age: 28.1 ± 6.3 years; 33 men) were enrolled in the present study. After two-dimensional Doppler echocardiography, 3DSTE-derived data acquisition was carried out in all cases, and detailed 3DSTE-based analysis was performed offline at a later date. Results: Reduced TAPSE was associated with increased global and basal LV radial strain (RS). Increased TAPSE was also associated not only with increased global and basal LV-RS but also with global LV longitudinal strain (LS). An increase in global LV-RS and global LV circumferential strain (CS) showed associations with other strains except for global LV-LS. An increase in global LV-LS did not show associations with other strains. Increased global LV-RS was associated with reduced TAPSE, while the degree of global LV-LS and global LV-CS did not show associations with TAPSE. Conclusions: Three-dimensional speckle-tracking echocardiography-derived LV-RS and LV-LS are associated with the longitudinal shortening of the RV represented by TAPSE in healthy adults.
The Sternocleidomastoid Muscle Reverse Pad: A “Safety Net” in Catastrophic Tracheal Surgery Situation
Authors: Mantovani Sara , Giovanniello Delia , Jaus Massimo O.
Published: November 2024

Background: This paper presents the outcomes of employing the inferiorly based rotated sternocleidomastoid muscle flap in complex tracheal reconstruction/repair scenarios, focusing on the key objectives of ensuring stable airway, functional digestive tract and patient survival. Methods: A retrospective analysis was performed for patients treated at two medical centers (A.O. San Camillo Forlanini, Rome, and A.O.U. Careggi, Florence) from 2011 to 2023, in which the sternocleidomastoid muscle (SCM) flap, detached from the mastoid and basicranium, was rotated on the lower pivot directly onto the repair site and pedicled to the sternal origin to ensure the continuity of the airway. Average postoperative hospital stay, follow-up period and patient survival were analyzed. Follow-up assessments encompassed bronchoscopies and CT scans conducted at intervals of 15 and 28 days, and subsequently at 3 and 9 months. Results: A total of five patients were enrolled in this study. These cases included one patient with anterior tracheal wall lesions with abundant tissue loss, one patient with an anterior wall necrosis due to descending cervical mediastinitis and three patients with extra-long tracheoesophageal fistulas (TEFs) (greater than 4.5 cm or >30% of the total tracheal length). In the case of the direct repair of a TEF with a proximal tracheal stenosis, the sternocleidomastoid muscle was used to reconstruct the tissue deficit caused by extensive loss of substance in the left lateral side of the tracheal wall. In case of repair through exclusion of the TEF, the sternocleidomastoid muscle was interposed between the visceral sutures after exclusion of the TEF by an endomechanical device, in one case even substituting the membranous part of the tracheal wall. Our technique allows rotation on the sternal head of the sternocleidomastoid muscle with the lowest rotation radius, pedicled to the sternal origin, detached from the mastoid process and superior nuchal line, thus providing optimal vascularization from the superior thyroid artery/external carotid artery and accessory vasculature from the suprascapular artery. Patients exhibited uneventful postoperative recovery concerning airway and digestive patency. The mean postoperative hospitalization duration was 41 days. The follow-up assessments were negative for postoperative complications. Conclusions: The use of sternocleidomastoid muscle flap was proposed to ensure repair and protection of the suture margin or to constitute a portion, as a scaffold, of the wall by leveraging the muscle’s vascularization and thickness. This technique may be considered a leading component in managing complex situations in tracheal surgery.
Assessing the Optimal Antibacterial Action of Lavandula stoechas L., Thymus zygis L., and Eucalyptus camaldulensis Dehnh Essential Oils
Authors: Aabouch Farah , Annemer Saoussan , Satrani Badr , Ettaleb Ismail , Kara Mohammed , Ghanmi Mohamed , Shahat Abdelaaty Abdelaziz , Choudhary Ravish , Farah Abdellah , Ouajdi Mohamed , Dahmani Jamila
Published: November 2024

The use of combined essential oils (EOs) is a new technique that can improve their preservative effects while minimizing their sensory impact in foods. The aim of this study was to determine the chemical profile of three essential oils (EOs) extracted from Lavandula stoechas L. (Ls), Thymus zygis L. (Tz), and Eucalyptus camaldulensis Dehnh (Ec) and to evaluate their synergistic antibacterial activity for optimal inhibition against Bacillus subtilis, Escherichia coli, and Staphylococcus aureus using an augmented Simplex centroid mixing scheme. The essential oils were extracted by hydrodistillation and analyzed via gas chromatography–mass spectrometry. Anti-bacterial potency was evaluated by disk diffusion. Chemical analysis revealed the main compounds in Lavandula stoechas (Ls) essential oil: camphor (36.15%), followed by fenchone (16.57%) and Z-8-hydroxy linalool (8.28%). The Thymus zygis (Tz) essential oil is dominated by δ-terpineol (27.64%), δ-3-carene (15.7%), and thymol (14.17%). In contrast, the Eucalyptus camaldulensis (Ec) essential oil contains mainly 1,8-cineole (43.61%), γ-terpinene (11.71%), and α-terpineol (10.58%). The optimal mixture is the binary association of 40% E. camaldulensis EO and 60% T. zygis EO, which provides an effective inhibition diameter (ID) of 13.37 mm to inhibit S. aureus. Furthermore, the formulation of 27% and 73% EOs of E. camaldulensis and T. zygis, respectively, corresponds to the mixture required to achieve the optimum inhibition diameter (ID = 11.55 mm) against E. coli. In addition, the mixture of 29% EO of E. camaldulensis and 71% EO of T. zygis is the optimum mixture to inhibit B. subtilis, with an inhibition diameter of 12.31 mm. These findings highlight the potency of antibacterial formulations of these essential oils and suggest that they might be used as substitutes for conventional drugs to prevent the development of bacteria responsible for serious infections and food spoilage.