bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Lower Extremities Power, Movement, Position and Effectiveness in Volleyball
Authors: Bobula Gabriel , Piech Joanna , Płonka Artur , Król Paweł , Czarny Wojciech , Pinto Rui , Pawlik Damian , Rydzik Łukasz , Bajorek Wojciech
Published: November 2024

Background: This paper presents research on the comparison and evaluation of lower limb power, movement, position on the court, and effectiveness in the players of men’s volleyball. The study involved professional players in the first division of a men’s volleyball team. The main aim of this paper was to show the correlation between lower limb power, movement, position on the pitch, and volleyball efficiency. Methods: The authors presented basic somatic characteristics of anthropology metrics, advanced research results obtained with the Optojump measuring system, players’ results statistics obtained with the Data Volley software (v.4.2024.01), and by applying scientific statistical methods and graphics interpretation. Results: The analyses with the Kruskal-Wallis test showed statistically significant differences in all the variables studied. Flight time (TF, H = 122.967; p < 0.001.) was the shortest for the players in the libero position, then the setter, attacker, middle and longest flight time was shown by the receiving players. The height of the jumps (JH, H = 123.018; p < 0.001) was the highest for receiving and mid players, and then attackers and setters, and the lowest jumps were recorded by libero players. The highest power of lower limbs (P, H = 20.392; p < 0.001) was characteristic for receivers, setters, mid-players and, curiously, libero achieved a better result than attackers. Conclusions: The analysis shows that the power of the lower extremities in volleyball players is associated with the function they perform on the court.
Message Action Adapter Framework in Multi-Agent Reinforcement Learning
Authors: Park Bumjin , Choi Jaesik
Published: November 2024

Multi-agent reinforcement learning (MARL) has demonstrated significant potential in enabling cooperative agents. The communication protocol, which is responsible for message exchange between agents, is crucial in cooperation. However, communicative MARL systems still face challenges due to the noisy messages in complex multi-agent decision processes. This issue often stems from the entangled representation of observations and messages in policy networks. To address this, we propose the Message Action Adapter Framework (MAAF), which first trains individual agents without message inputs and then adapts a residual action based on message components. This separation isolates the effect of messages on action inference. We explore how training the MAAF framework with model-agnostic message types and varying optimization strategies influences adaptation performance. The experimental results indicate that MAAF achieves competitive performance across multiple baselines despite utilizing only half of the available communication, and shows an average improvement of 7.6% over the full attention-based communication approach. Additional findings suggest that different message types result in significant performance variations, emphasizing the importance of environment-specific message types. We demonstrate how the proposed architecture separates communication channels, effectively isolating message contributions.
Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP
Authors: Jiang Jianhong , Yu Yongjin , Zhou Yang , Qian Shimeng , Deng Hao , Tao Jianning , Hua Wei
Published: November 2024

The assessment of wind energy resources is critical for the transition from fossil fuel to renewable energy sources. Using the outputs from high-resolution global climate models (GCMs), such as the High Resolution Model Intercomparison Project (HighResMIP) of the Coupled Model Intercomparison Project Phase 6 (CMIP6), has become one of the most important tools in wind energy research. This study evaluated the reliability of the 22 GCMs available in the HighResMIP-PRIMAVERA project by simulating the wind energy climatology and variability over the Tibetan Plateau (TP) with reference to observations and investigated the differences in performance of the GCMs between high-resolution (HR) and low-resolution (LR) simulations. The results show that most models performed relatively well in simulating the probability distribution of the observed wind speed over the TP, but nearly half of the models generally underestimated the wind speed, whereas the others tended to overestimated the wind speed. Compared with the wind speed, the GCMs showed larger biases in reproducing the wind power density (WPD) and other wind energy resources, whereas the biases in multi-model ensembles were relatively smaller than those in most individual models. With respect to interannual variability, both the HR and LR models failed to capture interannual variations in WPD over the TP. Furthermore, more than half of the HR GCMs had a reduced bias relative to the corresponding LR GCMs, indicating the good performance of most HR models in simulating wind energy resources over the TP in terms of spatial pattern and temporal variability. However, the overall performance of HR GCMs varied among models, which suggests that solely improving the horizontal resolution is not sufficient to completely solve the uncertainties and deficiencies in the simulation of wind energy over complex terrain.
Excitation of Helium by Proton and Antiproton Impact
Authors: Bálint Zsuzsánna , Borbély Sándor , Nagy Ladislau
Published: November 2024

The electron transitions in atoms caused by charged particle impact are benchmarks for the study of electron dynamics. In the present paper we focus on the excitation of helium by proton and antiproton impact. We perform both ab initio and perturbational calculations, revealing the importance of electron correlations and higher-order effects. The influence of the projectile charge sign on the excitation cross section is also studied.
Eccentric p-Summing Lipschitz Operators and Integral Inequalities on Metric Spaces and Graphs
Authors: Arnau Roger , Sánchez Pérez Enrique A. , Sanjuan Sergi
Published: November 2024

The extension of the concept of p-summability for linear operators to the context of Lipschitz operators on metric spaces has been extensively studied in recent years. This research primarily uses the linearization of the metric space M afforded by the associated Arens–Eells space, along with the duality between M and the metric dual space M# defined by the real-valued Lipschitz functions on M. However, alternative approaches to measuring distances between sequences of elements of metric spaces (essentially involved in the definition of p-summability) exist. One approach involves considering specific subsets of the unit ball of M# for computing the distances between sequences, such as the real Lipschitz functions derived from evaluating the difference in the values of the metric from two points to a fixed point. We introduce new notions of summability for Lipschitz operators involving such functions, which are characterized by integral dominations for those operators. To show the applicability of our results, in the last part of this paper, we use the theoretical tools obtained in the first part to analyze metric graphs. In particular, we show new results on the behavior of numerical indices defined on these graphs satisfying certain conditions of summability and symmetry.
Tuning Molten-Salt-Mediated Calcination in Promoting Single-Crystal Synthesis of Ni-Rich LiNixMnyCozO2 Cathode Materials
Authors: Koong Joon Kyung , Demopoulos George P.
Published: November 2024

High Ni-content LiNixMnyCozO2 (NMC) cathodes (with x ≥ 0.8, x + y + z = 1) have gained attention recently for their high energy density in electric vehicle (EV) Li-ion batteries. However, Ni-rich cathodes pose challenges in capacity retention due to inherent structural and surface redox instabilities. One promising strategy is to make the Ni-rich NMC material in the form of single-crystal micron-sized particles, as they resist intergranular and surface degradation during cycling. Among various methods to synthesize single-crystal NMC (SC-NMC) particles, molten-salt-assisted calcination offers distinct processing advantages but at present, is not yet optimized or mechanistically clarified to yield the desired control over crystal growth and morphology. In this project, molten-salt-mediated transformation of Ni0.85Mn0.05Co0.15(OH)2 precursor (P-NMC) particles to LiNi0.85Mn0.05Co0.15O2 particles is investigated in terms of the crystal growth mechanism and its electrochemical response. Unlike previous studies that involved large volumes of molten salt, using a smaller volume of molten KCl is found to result in larger primary particles with improved cycling performance achieved via partial reactive dissolution and heterogeneous nucleation growth, suggesting that the ratio of molten salt volume to NMC mass is an important parameter in the synthesis of single-crystal Ni-rich NMC materials.
Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making
Authors: Tynchenko Vadim , Lomazov Alexander , Lomazov Vadim , Evsyukov Dmitry , Nelyub Vladimir , Borodulin Aleksei , Gantimurov Andrei , Malashin Ivan
Published: November 2024

In recent years, cybersecurity management has increasingly required advanced methodologies capable of handling complex, evolving threat landscapes. Scenario network-based approaches have emerged as effective strategies for managing uncertainty and adaptability in cybersecurity projects. This article introduces a scenario network-based approach for managing cybersecurity projects, utilizing fuzzy linguistic models and a Takagi–Sugeno–Kanga fuzzy neural network. Drawing upon L. Zadeh’s theory of linguistic variables, the methodology integrates expert analysis, linguistic variables, and a continuous genetic algorithm to predict membership function parameters. Fuzzy production rules are employed for decision-making, while the Mamdani fuzzy inference algorithm enhances interpretability. This approach enables multi-scenario planning and adaptability across multi-stage cybersecurity projects. Preliminary results from a research prototype of an intelligent expert system—designed to analyze project stages and adaptively construct project trajectories—suggest the proposed approach is effective. In computational experiments, the use of fuzzy procedures resulted in an over 25% reduction in errors compared to traditional methods, particularly in adjusting project scenarios from pessimistic to baseline projections. While promising, this approach requires further testing across diverse cybersecurity contexts. Future studies will aim to refine scenario adaptation and optimize system response in high-risk project environments.
Cutting-Edge Machine Learning in Biomedical Image Analysis: Editorial for Bioengineering Special Issue: “Recent Advance of Machine Learning in Biomedical Image Analysis”
Authors: Lian Sheng , Luo Zhiming
Published: November 2024

Biomedical image analysis plays a critical role in the healthcare system [...]
Research and Application of Deep Learning Models with Multi-Scale Feature Fusion for Lesion Segmentation in Oral Mucosal Diseases
Authors: Zhang Rui , Lu Miao , Zhang Jiayuan , Chen Xiaoyan , Zhu Fudong , Tian Xiang , Chen Yaowu , Cao Yuqi
Published: November 2024

Given the complexity of oral mucosal disease diagnosis and the limitations in the precision of traditional object detection methods, this study aims to develop a high-accuracy artificial intelligence-assisted diagnostic approach based on the SegFormer semantic segmentation model. This method is designed to automatically segment lesion areas in white-light images of oral mucosal diseases, providing objective and quantifiable evidence for clinical diagnosis. This study utilized a dataset of oral mucosal diseases provided by the Affiliated Stomatological Hospital of Zhejiang University School of Medicine, comprising 838 high-resolution images of three diseases: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. These images were annotated at the pixel level by oral specialists using Labelme software (v5.5.0) to construct a semantic segmentation dataset. This study designed a SegFormer model based on the Transformer architecture, employed cross-validation to divide training and testing sets, and compared SegFormer models of different capacities with classical segmentation models such as UNet and DeepLabV3. Quantitative metrics including the Dice coefficient and mIoU were evaluated, and a qualitative visual analysis of the segmentation results was performed to comprehensively assess model performance. The SegFormer-B2 model achieved optimal performance on the test set, with a Dice coefficient of 0.710 and mIoU of 0.786, significantly outperforming other comparative algorithms. The visual results demonstrate that this model could accurately segment the lesion areas of three common oral mucosal diseases. The SegFormer model proposed in this study effectively achieves the precise automatic segmentation of three common oral mucosal diseases, providing a reliable auxiliary tool for clinical diagnosis. It shows promising prospects in improving the efficiency and accuracy of oral mucosal disease diagnosis and has potential clinical application value.
Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review
Authors: Jia Yifan , Pei Hongyu , Liang Jiaqi , Zhou Yuheng , Yang Yanfei , Cui Yangyang , Xiang Min
Published: November 2024

This review systematically analyzes the latest advancements in preprocessing techniques for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past decade. ECG and MCG play crucial roles in cardiovascular disease (CVD) detection, but both are susceptible to noise interference. This paper categorizes and compares different ECG denoising methods based on noise types, such as baseline wander (BW), electromyographic noise (EMG), power line interference (PLI), and composite noise. It also examines the complexity of MCG signal denoising, highlighting the challenges posed by environmental and instrumental interference. This review is the first to systematically compare the characteristics of ECG and MCG signals, emphasizing their complementary nature. MCG holds significant potential for improving the precision of CVD clinical diagnosis. Additionally, it evaluates the limitations of current denoising methods in clinical applications and outlines future directions, including the potential of explainable neural networks, multi-task neural networks, and the combination of deep learning with traditional methods to enhance denoising performance and diagnostic accuracy. In summary, while traditional filtering techniques remain relevant, hybrid strategies combining machine learning offer substantial potential for advancing signal processing and clinical diagnostics. This review contributes to the field by providing a comprehensive framework for selecting and improving denoising techniques, better facilitating signal quality enhancement and the accuracy of CVD diagnostics.
Comparison of Three Internal Fixation Constructs for AO/OTA 33-A3 Distal Femoral Fractures: A Biomechanical Study
Authors: Xie Wei , Liu Hui , Chen Shufen , Xu Weizhen , Lin Weibin , Chen Tianlai , Zhu Lingqi , Zhai Wenliang , Wu Jin
Published: November 2024

Background: To compare the biomechanical performance of three internal fixation constructs for AO/OTA 33-A3 distal femoral fractures. Methods: Thirty AO/OTA 33-A3 synthetic distal femoral fracture models were constructed and randomly divided into three groups. Group A (dual-plate construct) was fixed with a medial locking plate combined with a less invasive stabilization system (LISS). Group B was fixed with a retrograde femoral nail (RFN) combined with an LISS (RFN + LISS construct), and Group C was fixed with a retrograde tibial nail (RTN) combined with an LISS (RTN + LISS construct). The axial displacement, axial stiffness, torsional displacement, torsional stiffness and maximum failure load of different internal fixation constructs were recorded and statistically analyzed. Results: In the axial compression test, the average stiffness of Group C was significantly higher than that of Groups A and B, and the average displacement of Group C was significantly smaller than that of Groups A and B. In the torsion test, the torsion degree of Group C was significantly lower than that of Groups A and B, and Group C had a higher torsional stiffness than Groups A and B. In the axial compression failure test, the average ultimate load (a displacement greater than 5 mm) of Group C was significantly higher than that of Groups A and B. Conclusion: The biomechanical strength of the RTN combined with a plate is higher than that of the RFN combined with plate and dual-plate constructs, which can be used as an internal fixation option for the treatment of comminuted distal femoral fractures.
In-Depth Analysis of Olea europaea L. Leaf Extract: Alleviating Pulmonary Histological Disturbances, Pro-Inflammatory Responses, and Oxidative Stress from Isolated or Combined Exposure to Inhaled Toluene and Noise in Rats
Authors: Ben Attia Takoua , Bahri Sana , Ben Younes Sonia , Nahdi Afef , Ben Ali Ridha , Bel Haj Kacem Linda , El May Michèle Véronique , López-Maldonado Eduardo Alberto , Mhamdi Abada
Published: November 2024

The primary objective of this study was to investigate the pulmonary damage resulting from isolated or combined exposure to inhaled toluene (300 ppm) and noise 85 dB (A), with a focus on evaluating the potential protective effects of Olea europaea L. leaf extract (OLE). Forty-eight male Wistar rats were divided into eight groups: control (C), OLE treatment (O), noise exposure (N), noise exposure with OLE treatment (N+OLE), toluene exposure (T), toluene exposure with OLE treatment (T + OLE), co-exposure to toluene and noise (NT), and co-exposure with OLE treatment (NT + OLE). OLE (40 mg/kg/day) was administered daily for six weeks via oral gavage. Exposure to toluene and noise resulted in significant disruption of the pulmonary tissue structure, accompanied by oxidative stress, as evidenced by increased lipid peroxidation, diminished catalase and superoxide dismutase activities, and elevated pro-inflammatory cytokines IL6, IL-β, and TNF-α. Notably, the administration of OLE effectively mitigated oxidative stress and inflammation and preserved pulmonary histology. In conclusion, exposure to toluene and its combination with noise significantly elevated oxidative stress, inflammatory responses, and histological disruptions in the lung tissue. In contrast, noise exposure alone is characterized by minimal effects, although it is still associated with an inflammatory response. Notably, Olea europaea L. leaf extract (OLE) exhibits a substantial protective role, effectively mitigating the adverse effects of combined exposure and highlighting its potential as a therapeutic agent for lung health.
Generalized Ketogenic Diet Induced Liver Impairment and Reduced Probiotics Abundance of Gut Microbiota in Rat
Authors: Song Ge , Song Dan , Wang Yongwei , Wang Li , Wang Weiwei
Published: November 2024

The ketogenic diet is becoming an assisted treatment to control weight, obesity, and even type 2 diabetes. However, there has been no scientific proof supporting that the ketogenic diet is absolutely safe and sustainable. In this study, Sprague–Dawley (SD) rats were fed different ratios of fat to carbohydrates under the same apparent metabolizable energy level to evaluate the effects of a ketogenic diet on healthy subjects. The results showed that the ketogenic diet could relatively sustain body weight and enhance the levels of serum alanine aminotransferase (ALT) and serum alkaline phosphatase (SAP), leading to more moderate lipoidosis and milder local non-specific inflammation in the liver compared with the high-carbohydrate diet. In addition, the abundance of probiotic strains such as Lactobacillus, Lactococcus, and Faecalitalea were reduced with the ketogenic diet in rats, while an abundance of pathogenic strains such as Anaerotruncus, Enterococcus, Rothia, and Enterorhabdus were increased with both the ketogenic diet and the high-carbohydrate diet. This study suggests that the ketogenic diet can lead to impairments of liver function and changed composition of the gut microbiota in rats, which to some extent indicates the danger of consuming a generalized ketogenic diet.
Double-Edge Effects of Leucine on Cancer Cells
Authors: Akbay Burkitkan , Omarova Zhannur , Trofimov Alexander , Sailike Bayan , Karapina Orynbassar , Molnár Ferdinand , Tokay Tursonjan
Published: November 2024

Leucine is an essential amino acid that cannot be produced endogenously in the human body and therefore needs to be obtained from dietary sources. Leucine plays a pivotal role in stimulating muscle protein synthesis, along with isoleucine and valine, as the group of branched-chain amino acids, making them one of the most popular dietary supplements for athletes and gym-goers. The individual effects of leucine, however, have not been fully clarified, as most of the studies so far have focused on the grouped effects of branched-chain amino acids. In recent years, leucine and its metabolites have been shown to stimulate muscle protein synthesis mainly via the mammalian target of the rapamycin complex 1 signaling pathway, thereby improving muscle atrophy in cancer cachexia. Interestingly, cancer research suggests that leucine may have either anti-cancer or pro-tumorigenic effects. In the current manuscript, we aim to review leucine’s roles in muscle protein synthesis, tumor suppression, and tumor progression, specifically summarizing the molecular mechanisms of leucine’s action. The role of leucine is controversial in hepatocellular carcinoma, whereas its pro-tumorigenic effects have been demonstrated in breast and pancreatic cancers. In summary, leucine being used as nutritional supplement for athletes needs more attention, as its pro-oncogenic effects may have been identified by recent studies. Anti-cancer or pro-tumorigenic effects of leucine in various cancers should be further investigated to achieve clear conclusions.
The Macrophage–Fibroblast Dipole in the Context of Cardiac Repair and Fibrosis
Authors: Psarras Stelios
Published: November 2024

Stromal and immune cells and their interactions have gained the attention of cardiology researchers and clinicians in recent years as their contribution in cardiac repair is increasingly recognized. The repair process in the heart is a particularly critical constellation of complex molecular and cellular events and interactions that characteristically fail to ensure adequate recovery following injury, insult, or exposure to stress conditions in this regeneration-hostile organ. The tremendous consequence of this pronounced inability to maintain homeostatic states is being translated in numerous ways promoting progress into heart failure, a deadly, irreversible condition requiring organ transplantation. Fibrosis is in fact a repair response eventually promoting cardiac dysfunction and cardiac fibroblasts are the major cellular players in this process, overproducing collagens and other extracellular matrix components when activated. On the other hand, macrophages may differentially affect fibroblasts and cardiac repair depending on their status and subsets. The opposite interaction is also probable. We discuss here the multifaceted aspects and crosstalk of this cell dipole and the opportunities it may offer for beneficial manipulation approaches that will hopefully lead to progress in heart disease interventions.
Photobiomodulation Therapy at 660 nm Inhibits Hippocampal Neuroinflammation in a Lipopolysaccharide-Challenged Rat Model
Authors: Jung Tae-Mi , Lee Jong-Ha , Heo Jin-Chul , Kim Chang-Hyun
Published: November 2024

Background/Objectives: Neuroinflammation is associated with the progression of various brain diseases, and the management of neuroinflammation-induced neural damage is a crucial aspect of treating neurological disorders. This study investigated the anti-inflammatory efficacy of photobiomodulation therapy (PBMT) using 660 nm phototherapy in a rat model with lipopolysaccharide (LPS)-induced neuroinflammation. Methods: We induced inflammation in rat brains via intraperitoneal injection of LPS and subjected the treatment group to 660 nm phototherapy to examine its protective effect against hippocampal damage based on pathological, histological, and immunohistochemical tissue analyses. Results: The 660 nm treated rats showed a significant decrease in hippocampal structural damage and cell death compared to the LPS-treated group. We observed reduced expression of the inflammation markers GFAP, TNF-α, and IL-1β in the hippocampus of the treatment group, and an increase in SIRT1 expression across all hippocampal regions. Conclusions: This study presents a promising method for controlling neuroinflammation and providing neuroprotection and inflammation relief. PBMT represents a non-invasive therapeutic approach with minimal side effects ensured through the proper control of light irradiation.
Insights into the Associations Between Systolic Left Ventricular Rotational Mechanics and Left Atrial Peak Reservoir Strains in Healthy Adults from the MAGYAR-Healthy Study
Authors: Nemes Attila , Kormányos Árpád , Ambrus Nóra , Lengyel Csaba
Published: November 2024

Introduction: In systole, when the left ventricle (LV) twists, the left atrium (LA) behaves like a reservoir, having a special wall contractility pattern opposite to that of the LV wall. Accordingly, the objective of the present study was to investigate the associations between LV rotational mechanics and LA peak (reservoir) strains as assessed simultaneously by three-dimensional speckle-tracking echocardiography (3DSTE) under healthy conditions. Methods: In the present study, 157 healthy adults (mean age: 33.2 ± 12.7 years, 73 men) were involved. Complete two-dimensional Doppler echocardiography with 3DSTE-derived data acquisition were performed in all cases. The 3DSTE-derived LV rotational and LA strain parameters were determined at a later date. Results: Global LA peak reservoir circumferential (22.7 ± 6.4% vs. 27.6 ± 6.8%, p < 0.05) and area (57.8 ± 20.0% vs. 66.0 ± 22.7%, p < 0.05) strains proved to be reduced in the case of the highest vs. lowest basal LV rotation; other LA peak reservoir strains were not associated with increasing basal LV rotation. Global LA peak radial strain was highest in the case of the lowest vs. highest apical LV rotation (−19.2 ± 9.4% vs. −13.0 ± 8.2%, p < 0.05). Global LA peak reservoir 3D strain was lowest in the case of the highest vs. lowest apical LV rotation (−9.9 ± 6.8% vs. −5.0 ± 4.2%, p < 0.05). Only apical LV rotation proved to be significantly reduced in the case of the highest vs. lowest global LA peak reservoir 3D strain (8.12 ± 3.23° vs. 10.50 ± 3.44°, p < 0.05). Other global LA peak reservoir strains were not associated with basal and apical LV rotations. Conclusions: In LV systole, LV rotational mechanics is associated with LA deformation represented by LA peak (reservoir) strains even in healthy circumstances. While basal LV rotation is associated with LA widening, apical LV rotation is associated with LA thinning, suggesting the close cooperation of the LV and LA in systole even in healthy adults.
Evaluation of the Impact of Advanced Glycation End-Products on Peripheral Neuropathy Outcomes in Type 2 Diabetes
Authors: Singh Indumathi , Issar Tushar , Poynten Ann M. , Milner Kerry-Lee , Krishnan Arun V. , Dhanapalaratnam Roshan
Published: November 2024

Background: Type 2 diabetes (T2DM) affects over 500 million people worldwide, and over 50% of this group experience the most common complication, diabetic peripheral neuropathy (DPN). The presence of advanced glycation end-products (AGEs) has been linked with the development of DPN. The present study assessed AGE levels in participants with type 2 diabetes and explored the hypothesis that there may be increased AGE levels in more severe DPN. Methods: A total of 124 participants with T2DM were consecutively recruited, and they underwent skin autofluorescence, clinical assessment for peripheral neuropathy, peripheral nerve ultrasound, nerve conduction studies, and axonal excitability assessment. Results: AGE accumulation showed weak but significant correlations with neuropathy severity and reduced nerve conduction function. However, after adjusting for confounding variables, a linear regression analysis did not reveal significant associations between the AGE levels and neuropathy outcomes. Conclusions: The present study suggests that the accumulation of AGE is not associated with the clinical, electrophysiological, and morphological measures of neuropathy in T2DM.
Inflammatory Bowel Disease and Endometriosis: Diagnosis and Clinical Characteristics
Authors: Fiorillo Mariasofia , Neri Benedetto , Mancone Roberto , Russo Consuelo , Iacobini Federica , Schiavone Sara Concetta , De Cristofaro Elena , Migliozzi Stefano , Exacoustos Caterina , Biancone Livia
Published: November 2024

Background/Objectives: Endometriosis and inflammatory bowel disease (IBD) share some epidemiological, clinical and pathogenetic features. A differential diagnosis between pelvic endometriosis and IBD may be challenging, even for expert clinicians. In the present review, we aimed to summarize the currently available data regarding the relationship between endometriosis and IBD and their possible association. Methods: The PubMed and Scopus database were considered, by searching the following terms: “Crohn’s Disease”, “Ulcerative Colitis”, “Endometriosis”, “Adenomyosis”, and “Inflammatory Bowel Disease”, individually or combined. Full-text papers published in English with no date restriction were considered. Results: Few studies have researched the possible association between endometriosis and IBD. Both conditions are characterized by chronic recurrent symptoms, which may be shared (abdominal pain, fatigue, infertility, menstrual irregularities, diarrhea, constipation). Deep infiltrating endometriosis (DIE) can cause bowel symptoms. In a large Danish study, a 50% increased risk of IBD was observed in women with endometriosis. A missed diagnosis of endometriosis and an increased risk of endometriosis has been reported in IBD. Current evidence does not support an association between endometriosis and IBD characteristics. However, IBD may be associated with DIE, characterized by pelvic symptoms (dyschezia, dyspareunia). Preliminary observations suggest an increased IBD risk in patients with endometriosis treated with hormonal therapy. Conclusions: Current findings suggest that a careful search is needed for concomitant endometriosis in subgroups of patients with IBD showing compatible symptoms and vice versa. A multidisciplinary approach including dedicated gastroenterologists and gynecologists is required for a proper search for IBD and endometriosis in subgroups of patients. This approach may avoid diagnostic delays or overtreatments for these conditions.
Hyaluronic Acid Combined with Ozone in Dental Practice
Authors: Rosa Alessio , Pujia Alberto Maria , Arcuri Claudio
Published: November 2024

Background: Topical applications have long been regarded as precise methods for delivering drugs to soft tissues, such as the periodontal ligament, as well as hard structures, including the alveolar bone and cementum. Recently, the combination of hyaluronic acid (HA) and ozone therapy has gained popularity as a supportive treatment for chronic inflammation, in addition to its established role in enhancing healing after dental procedures. Methods: To gather the necessary research for our study, we conducted a systematic search across several databases, including PubMed, Google Scholar, and Ovid. Our study was registered under Prospero number CRD42024569641. The research, which began in June 2015 and concluded in May 2024, systematically examined the potential benefits of topical HA application in the management of both acute and chronic inflammatory diseases. Using relevant keywords and Medical Subject Headings, we selected 28 pertinent studies: three related to gingivitis, thirteen on chronic periodontitis, seven involving dental surgeries such as implants and sinus lifts, and three on oral ulcers. Results: The risk of bias among the analyzed studies was assessed using the RoB 2 tool. Regarding the randomization process, 75% of the studies exhibited a high risk of bias. However, all studies (100%) had a low risk of bias concerning allocation concealment. Only 25% of the studies adequately addressed performance bias, and another 25% reported all outcome data. Nevertheless, 85% of the included studies showed a low risk of reporting bias. Conclusions: The results indicate that the use of topical HA in combination with ozone therapy is highly effective not only in promoting post-operative healing following dental procedures but also in providing positive outcomes for individuals dealing with chronic gingivitis, periodontal inflammation, and oral ulcers.
Extracellular Vesicles from Lung Adenocarcinoma Cells Induce Activation of Different Cancer-Associated Fibroblast Subtypes
Authors: Trejo Vazquez Jessica Angelina , Towle Rebecca , Farnsworth Dylan Andrew , Sarafan Masih , Lockwood William Wallace , Garnis Cathie
Published: November 2024

Background: Lung cancer, including the major subtype lung adenocarcinoma (LUAD), is the leading cause of cancer deaths worldwide, largely due to metastasis. Improving survival rates requires new treatment strategies and a deeper understanding of the mechanisms that drive tumor progression within the tumor microenvironment (TME). This study investigated the impact of extracellular vesicles (EVs) derived from LUAD cells on lung fibroblasts. Methods: EVs were isolated from LUAD cell lines via ultracentrifugation and characterized using nanoparticle tracking analysis and Western blotting. Lung fibroblasts were treated with PBS, TGFβ, or EVs, and their activation was assessed through protein (Western blotting) and RNA analyses (RNA seq and RT-qPCR). Results: The results confirmed the TGFβ induced activation and showed that LUAD EVs could also activate fibroblasts, increasing cancer-associated fibroblast (CAF) markers. While EV-induced CAF activation displayed unique features, like an increase in proliferation-related genes, the EV and TGFβ treatments also shared some differentially expressed genes. The EV groups induced a higher expression of ECM remodeling and EMT-associated genes, but some of those genes were also upregulated in the TGFβ group. Mesenchymal genes POSTN and SPOCK1 were significantly upregulated in TGFβ- and EV-treated fibroblasts. Their secretion as proteins from the TGFβ- and EV-induced CAFs was not significant, confirmed through ELISA. Conclusions: These findings suggest that LUAD EVs play a role in CAF activation through both shared and distinct pathways compared to canonical TGFβ activation, potentially identifying novel gene expressions involved in CAF activation. Additionally, optimal protein secretion conditions of confirmed CAF-upregulated genes need to be established to determine their contribution to the TME.
Advance in Nrf2 Signaling Pathway in Leishmaniasis
Authors: Saha Sarmistha , Sachivkina Nadezhda , Kuznetsova Olga , Neborak Ekaterina , Zhabo Natallia
Published: November 2024

One of the main components of innate defense against invasive parasites is oxidative stress, which is brought on by reactive oxygen species (ROS). On the other hand, oxidative stressors serve two purposes: free radicals aid in the elimination of pathogens, but they can also set off inflammation, which leads to tissue damage. Nuclear factor erythroid 2-related factor 2 (Nrf2) is a transcription factor that controls the expression of numerous genes involved in the body’s defense against oxidative stress brought on by aging, inflammation, tissue damage, and other pathological consequences. From cutaneous to visceral forms, Leishmania parasites invade macrophages and cause a wide range of human pathologies. Leishmania parasites have a wide range of adaptive mechanisms that disrupt several macrophage functions by altering host signaling pathways. An increasing amount of data are corroborating the idea that one of the primary antioxidant routes to counteract this oxidative burst against parasites is NRF2 signaling, which also interferes with immune responses. The nature and potency of the host immune response, as well as interactions between the invading Leishmania spp., will ascertain the course of infection and the parasites’ eventual survival or eradication. The molecular processes via which Nrf2 coordinates such intricate networks comprising various pathways remain to be completely understood. In light of NRF2’s significant contribution to oxidative stress, we examine the NRF2 antioxidant pathway’s activation mechanism in Leishmania infection in this review. Thus, this review will examine the relationship between Nrf2 signaling and leishmaniasis, as well as explore potential therapeutic strategies for modifying this system.
Development of a Novel Tailless X-Type Flapping-Wing Micro Air Vehicle with Independent Electric Drive
Authors: Zhang Yixin , Zeng Song , Zhu Shenghua , Wang Shaoping , Wang Xingjian , Miao Yinan , Jia Le , Yang Xinyu , Yang Mengqi
Published: November 2024

A novel tailless X-type flapping-wing micro air vehicle with two pairs of independent drive wings is designed and fabricated in this paper. Due to the complexity and unsteady of the flapping wing mechanism, the geometric and kinematic parameters of flapping wings significantly influence the aerodynamic characteristics of the bio-inspired flying robot. The wings of the vehicle are vector-controlled independently on both sides, enhancing the maneuverability and robustness of the system. Unique flight control strategy enables the aircraft to have multiple flight modes such as fast forward flight, sharp turn and hovering. The aerodynamics of the prototype is analyzed via the lattice Boltzmann method of computational fluid dynamics. The chordwise flexible deformation of the wing is implemented via designing a segmented rigid model. The clap-and-peel mechanism to improve the aerodynamic lift is revealed, and two air jets in one cycle are shown. Moreover, the dynamics experiment for the novel vehicle is implemented to investigate the kinematic parameters that affect the generation of thrust and maneuver moment via a 6-axis load cell. Optimized parameters of the flapping wing motion and structure are obtained to improve flight dynamics. Finally, the prototype realizes controllable take-off and flight from the ground.
Histomorphometric Analysis of Osseointegrated Intraosseous Dental Implants Using Undecalcified Specimens: A Scoping Review
Authors: Peev Stefan , Yotsova Ralitsa , Parushev Ivaylo
Published: November 2024

Bone histology and histomorphometry are reliable diagnostic tools for the assessment of the bone–implant interface, material safety and biocompatibility, and tissue response. They allow for the qualitative and quantitative analysis of undecalcified bone specimens. This scoping review aims to identify the most common staining techniques, study models for in vivo experiments, and histomorphometric parameters used for quantitative bone evaluation of osseointegrated dental implants in the last decade. The Web of Science, PubMed, and Scopus databases were searched on 1 July 2024 for relevant articles in English, published in the last ten years, and the data were exported to an MS Excel spreadsheet. A total of 115 studies met the eligibility criteria and were included in the present review. The results indicate that the most common study models are dogs, rabbits, and pigs. Some of the most frequently used methods for the assessment of the bone–implant interface are the Toluidine blue, Stevenel’s blue with Van Gieson, and Levai–Laczko stainings. The results from this study demonstrate that the most commonly used histomorphometric parameters in implant dentistry are the bone-to-implant contact (BIC), bone area fraction occupancy (BAFO), bone area (BA), and bone density (BD). This review presents the recent trends in histomorphometric analysis of dental implants and identifies some research gaps that necessitate further research.
Gold–Graphene Quantum Dot Hybrid Nanoparticle for Smart Diagnostics of Prostate Cancer
Authors: Raj Divakar , Kumar Arun , Kumar Dhruv , Kant Krishna , Mathur Ashish
Published: November 2024

Prostate cancer is one of the most prevalent cancers afflicting men worldwide, often detected at advanced stages, leading to increased mortality rates. Addressing this challenge, we present an innovative approach employing electrochemical biosensing for early-stage prostate cancer detection. This study used Indium–Tin Oxide (ITO) as a substrate and a deposited gold–graphene quantum dot (Au–GQD) nanohybrid to establish electrochemical sensing platforms for DNA-hybridization assays. A capturing DNA probe, PCA3, was covalently immobilized on the surface of the Au–GQDs and deposited electrochemically onto the ITO electrode surface. The Au–GQDs enabled the capturing of the target PCA3 biomarker probe. The sensor achieved a limit of detection (LoD) of up to 211 fM and presented a linear detection range spanning 1 µM to 100 fM. A rapid 5-min response time was also achieved. The tested shelf life of the pre-immobilized sensor was approximately 19 ± 1 days, with pronounced selectivity for its intended target amidst various interferants. The sensing device has the potential to revolutionize prostate cancer management by facilitating early-stage detection and screening with enhanced treatment efficacy.
The Influence of Verb-Based Implicit Causality Information and Second Language Proficiency on Chinese English Learners’ Pronoun Anaphoric Inference: Evidence from Eye Movements
Authors: Liu Huan , Chen Shifa , Liu Ruiyong , Du Huinan
Published: November 2024

Implicit causality (IC) is a phenomenon where verbs supply information about the potential cause of the behavior or state to one of the antecedents (e.g., “Mary praised David because…” will continue about David, not Mary). The study examines the influence of IC information and second language (L2) proficiency on Chinese English learners’ pronoun anaphoric inference. Results from an eye-tracking study showed that Chinese English learners can actively use IC information in making pronoun anaphoric inference. Additionally, compared to low-proficiency learners, high-proficiency learners spent less time on making pronoun anaphoric inference. The findings indicate that Chinese English learners can activate IC information early, before the disambiguating information appears, thus supporting the focusing account. Furthermore, L2 proficiency also affects this process.
Machine Learning-Based Modeling for Structural Engineering: A Comprehensive Survey and Applications Overview
Authors: Etim Bassey , Al-Ghosoun Alia , Renno Jamil , Seaid Mohammed , Mohamed M. Shadi
Published: November 2024

Modeling and simulation have been extensively used to solve a wide range of problems in structural engineering. However, many simulations require significant computational resources, resulting in exponentially increasing computational time as the spatial and temporal scales of the models increase. This is particularly relevant as the demand for higher fidelity models and simulations increases. Recently, the rapid developments in artificial intelligence technologies, coupled with the wide availability of computational resources and data, have driven the extensive adoption of machine learning techniques to improve the computational accuracy and precision of simulations, which enhances their practicality and potential. In this paper, we present a comprehensive survey of the methodologies and techniques used in this context to solve computationally demanding problems, such as structural system identification, structural design, and prediction applications. Specialized deep neural network algorithms, such as the enhanced probabilistic neural network, have been the subject of numerous articles. However, other machine learning algorithms, including neural dynamic classification and dynamic ensemble learning, have shown significant potential for major advancements in specific applications of structural engineering. Our objective in this paper is to provide a state-of-the-art review of machine learning-based modeling in structural engineering, along with its applications in the following areas: (i) computational mechanics, (ii) structural health monitoring, (iii) structural design and manufacturing, (iv) stress analysis, (v) failure analysis, (vi) material modeling and design, and (vii) optimization problems. We aim to offer a comprehensive overview and provide perspectives on these powerful techniques, which have the potential to become alternatives to conventional modeling methods.
High-Performance Geopolymers with Municipal Solid Waste Incineration Fly Ash: Influence on the Mechanical and Environmental Properties
Authors: Lin Xiaochen , Zhang Dapeng , Zhao Zehua , Zhang Cheng , Ma Bing , Zhou Hao , Wang Yi , Xue Dingming , Tang Jing , Chen Chen , Li Jing , Sun Zengqing , Zhang Houhu , Li Weixin
Published: November 2024

Geopolymer is a sustainable low-carbon cementitious material that is able to incorporate large amounts of solid waste as precursors or activators. As the proportion of municipal solid waste incineration continues to rise in China, the large-scale generation of municipal solid waste incineration fly ash (MSWI FA) has emerged as a significant challenge. The production of geopolymers represents a potential pathway for the comprehensive utilization of MSWI FA. However, most studies have reported that geopolymers containing MSWI FA exhibit low strength, which diminishes their economic value. Furthermore, the unclear environmental risks associated with MSWI FA-based geopolymers have impeded their broader application. This study explores the use of MSWI FA as a substitute for ground granulated blast furnace slag (GGBS) or coal fly ash (CFA) in the production of high-performance geopolymers, achieving compressive strengths exceeding 60 MPa, even when the MSWI FA content reaches 50%. A synergistic effect is observed between MSWI FA and CFA, which enhances the reactivity of CFA. With reasonable formulation, the environmental risks of geopolymers containing MSWI FA are manageable in normal rainfall scenarios. However, there remains a potential risk of soil and groundwater contamination under extreme conditions, such as acid rain.