bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk of Maxillary Canine Impaction in Pediatric Patients with Maxillary Constriction: Retrospective Study on Panoramic Dental Images
Authors: Alessandri-Bonetti Anna , Guglielmi Federica , Foti Giovanni , Sangalli Linda , Gallenzi Patrizia
Published: November 2024

The maxillary canine is the second most commonly impacted tooth after the maxillary third molar. Identifying risk factors for impaction is crucial for timely intervention; panoramic radiographs are particularly valuable for screening and identification purposes. This study aims to explore the association between transverse maxillary deficiency with bilateral crossbite, and the risk of maxillary canine impaction. A cross-sectional retrospective study was conducted on records of pediatric patients (7–13 years old) undergoing orthodontic evaluations. Panoramic radiographs were analyzed to assess the risk of canine impaction using the sectorial method, distance from the occlusal plane, and the alpha angle. Results from 48 canines of patients with transverse maxillary deficiency and bilateral crossbite were compared to canines of sex- and age-matched patients without these malocclusions. Statistical analysis was performed by the Shapiro–Wilk test, Levene’s test, or a t-test. There were no significant differences in high-risk canine impaction between groups when considering sector classification or distance from the occlusal plane. However, the control group showed a significantly higher risk according to the alpha angle (≥25°). No overall significant difference in risk was observed, suggesting that transverse maxillary deficiency with bilateral crossbite may not increase the risk of maxillary canine impaction.
Advanced Hybrid Neural Networks for Accurate Recognition of the Extended Alphabet and Dynamic Signs in Mexican Sign Language (MSL)
Authors: Lara-Cázares Arturo , Moreno-Armendáriz Marco A. , Calvo Hiram
Published: November 2024

The Mexican deaf community primarily uses Mexican Sign Language (MSL) for communication, but significant barriers arise when interacting with hearing individuals unfamiliar with the language. Learning MSL requires a substantial commitment of at least 18 months, which is often impractical for many hearing people. To address this gap, we present an MSL-to-Spanish translation system that facilitates communication through a spelling-based approach, enabling deaf individuals to convey any idea while simplifying the AI’s task by limiting the number of signs to be recognized. Unlike previous systems that focus exclusively on static signs for individual letters, our solution incorporates dynamic signs, such as “k”, “rr”, and “ll”, to better capture the nuances of MSL and enhance expressiveness. The proposed Hybrid Neural Network-based algorithm integrates these dynamic elements effectively, achieving an F1 score of 90.91%, precision of 91.25%, recall of 91.05%, and accuracy of 91.09% in the extended alphabet classification. These results demonstrate the system’s potential to improve accessibility and inclusivity for the Mexican deaf community.
UPGCN: User Perception-Guided Graph Convolutional Network for Multimodal Recommendation
Authors: Zhou Baihu , Liang Yongquan
Published: November 2024

To tackle the challenges of cold start and data sparsity in recommendation systems, an increasing number of researchers are integrating item features, resulting in the emergence of multimodal recommendation systems. Although graph convolutional network-based approaches have achieved significant success, they still face two limitations: (1) Users have different preferences for various types of features, but existing methods often treat these preferences equally or fail to specifically address this issue. (2) They do not effectively distinguish the similarity between different modality item features, overlook the unique characteristics of each type, and fail to fully exploit their complementarity. To solve these issues, we propose the user perception-guided graph convolutional network for multimodal recommendation (UPGCN). This model consists of two main parts: the user perception-guided representation enhancement module (UPEM) and the multimodal two-step enhanced fusion method, which are designed to capture user preferences for different modalities to enhance user representation. At the same time, by distinguishing the similarity between different modalities, the model filters out noise and fully leverages their complementarity to achieve more accurate item representations. We performed comprehensive experiments on the proposed model, and the results indicate that it outperforms other baseline models in recommendation performance, strongly demonstrating its effectiveness.
Harnessing Foot Mechanics: The Role of Lacing Techniques in Enhancing Comfort and Reducing Injury Risk
Authors: Tedeschi Roberto , Giorgi Federica , Donati Danilo
Published: November 2024

Background: Lacing techniques are often viewed as a functional necessity, but recent research has highlighted their role as a customization tool for foot health and comfort. This review synthesizes findings from studies examining the biomechanical effects of different lacing patterns on pressure distribution, tendon loading, and foot mechanics. Methods: We analyzed studies that investigated various lacing techniques, including tightness and patterns. Objective measurements, such as pressure insoles and cadaveric models, were used to quantify the effects. Diverse study populations, including individuals with foot health concerns and athletes, were considered. This study was conducted as a scoping review following the JBI methodology, adhering to the PRISMA-ScR guidelines. Results: The studies collectively reveal that lacing patterns significantly influence dorsal pressure distribution during activities like running. Customized lacing can optimize foot biomechanics, reducing the risk of injuries related to abnormal pressure distribution. A total of 27 records were identified from the initial search. After removing duplicates and screening, four articles were included in the final review. Additionally, certain lacing configurations were found to reduce peak Achilles tendon tension, a crucial finding for injury-prone individuals. Conclusions: Proper lacing techniques are not just a functional aspect but a means to enhance foot health and prevent injuries. Healthcare professionals can provide personalized lacing recommendations to patients, with implications for those with specific foot conditions, athletes, and individuals at risk of injuries. The importance of patient education on the significance of lacing techniques cannot be overstated, emphasizing the need for informed choices when lacing shoes. These findings underscore the multifaceted role of lacing techniques in promoting foot health and well-being.
Sedimentary Environment Reconstruction and Organic Matter Enrichment Mechanisms in Various Lithofacies of the Lacustrine Shale: A Case Study of the Da’anzhai Member, Central Sichuan Basin, China
Authors: Peng Yuting , Fu Yingxiao , Chen Senran , Wang Enze
Published: November 2024

Jurassic lacustrine shale in the Sichuan Basin is a focal exploration area in China, while the pronounced heterogeneity presents challenges, necessitating detailed research as a prerequisite. This study aims at the Jurassic Ziliujing Formation Da’anzhai shale in the central Sichuan Basin, systematically characterizing its geological features. Employing geochemical methods, we reconstructed the paleo-sedimentary environments and explored the mechanisms behind the organic matter enrichment. The findings reveal that the Da’anzhai shale exhibits three lithofacies: organic-rich argillaceous shale (ORA), organic-poor argillaceous shale (OPA), and organic-rich mixed shale (ORM). The sedimentary period was marked by a warm and humid climate, predominantly depositing in anoxic environments with freshwater to brackish conditions. The watershed areas that are provenance sources for the shale clastics are experiencing strong weathering. Significant differences in the sedimentary environments of various lithofacies’ shale were observed. Redox conditions and paleoclimate were identified as the primary factors controlling organic matter enrichment in the Da’anzhai shale of the study area. Salinity also played a role in organic matter enrichment, while terrigenous debris influx and paleo-productivity did not exert a significant controlling effect on organic matter enrichment. Utilizing the reconstructed ancient sedimentary environments, we developed sedimentary models for different lithofacies’ shale, contributing to a deeper understanding of lithofacies’ diversity and the mechanisms governing organic matter enrichment in lacustrine environments. This study provides new information for further understanding the response mechanism of lacustrine shales to the Toarcian Oceanic Anoxic Event in the Early Jurassic from the perspective of elemental geochemistry.
Study on the Development Rule of Mudstone Cracks in Open-Pit Mine Dumps Improved with Xanthan Gum
Authors: Qi Xiang , Zhou Wei , Li Rui , Tian Ya , Lu Xiang
Published: November 2024

The stability of open-pit mine slopes is crucial for safety, especially for spoil dump slopes, which are prone to cracks leading to landslides. This study investigates the use of xanthan gum (XG) to enhance the stability of mudstone in spoil dumps. Various concentrations of xanthan gum were mixed with mudstone and subjected to dry–wet cycle tests to assess the impact on crack development. Pore and crack analysis system (PCAS) was utilized for image recognition and crack analysis, comparing the efficiency of crack rate and length modification. The study found that xanthan gum addition significantly improved mudstone’s resistance to crack development post-drying shrinkage. A 2% xanthan gum content reduced the mudstone crack rate by 45% on average, while 1.5% xanthan gum reduced crack length by 46.2% and crack width by 26.3%. Xanthan gum also influenced the fractal dimension and water retention of mudstone cracks. The optimal xanthan gum content for mudstone modification was identified as between 1.5% and 2%. Scanning electron microscopy imaging and X-ray diffraction tests supported the findings, indicating that xanthan gum modifies mudstone by encapsulation and penetration in wet conditions and matrix concentration and connection in dry conditions. These results are expected to aid in the development of crack prevention methods and engineering applications for open-pit mine spoil dump slopes.
Research Progress on the Relationship Between Microstructure and Properties of AISI 321 Stainless Steel
Authors: Huang Zhaobin , Zhang Jinwei , Ma Zhen , Yuan Shidan , Yang Hui
Published: November 2024

AISI 321 stainless steel is widely used in chemical pipelines and nuclear power, prompting research on its high-temperature performance and corrosion resistance. This review focuses on the effects of alloy elements, second-phase particle formation, and heat treatment processes on the microstructure and properties of AISI 321 stainless steel. Fine tuning of alloying elements can affect the mode and effect of dynamic recrystallization, altering the high-temperature flow deformation of AISI 321 stainless steel. In order to achieve phase equilibrium, the relationship between corrosion resistance and high-temperature creep behavior and high-temperature mechanical behavior in the presence of second-phase particles was also analyzed. This review outlines the basic heat treatment procedures for improving material properties, providing a new perspective for solution treatment and improving corrosion resistance. In addition, the latest research progress on other factors affecting the high-temperature performance of AISI 321, such as coatings, was briefly introduced.
A Multiclassification Model for Skin Diseases Using Dermatoscopy Images with Inception-v2
Authors: Zhi Shulong , Li Zhenwei , Yang Xiaoli , Sun Kai , Wang Jiawen
Published: November 2024

Skin cancer represents a significant global public health concern, with over five million new cases diagnosed annually. If not diagnosed at an early stage, skin diseases have the potential to pose a significant threat to human life. In recent years, deep learning has increasingly been used in dermatological diagnosis. In this paper, a multiclassification model based on the Inception-v2 network and the focal loss function is proposed on the basis of deep learning, and the ISIC 2019 dataset is optimised using data augmentation and hair removal to achieve seven classifications of dermatological images and generate heat maps to visualise the predictions of the model. The results show that the model has an average accuracy of 89.04%, a precision of 87.37%, recall of 90.15%, and an F1-score of 88.76%, The accuracy rates of ResNext101, MobileNetv2, Vgg19, and ConvNet are 88.50%, 85.30%, 88.57%, and 86.90%, respectively. These results show that our proposed model performs better than the above models and performs well in classifying dermatological images, which has significant application value.
Research Progress in the Composition and Performance of Mn-Based Low-Temperature Selective Catalytic Reduction Catalysts
Authors: Yang Yuming , Bian Xue , Xie Feng , Bai Yuting , Wang Jing
Published: November 2024

NH3 selective catalytic reduction (NH3-SCR) is the most prevalent and effective method for removing nitrogen oxides. Over the past few decades, manganese (Mn)-based catalysts have demonstrated strong catalytic activity and have been extensively studied for low-temperature NH3-SCR reactions. This paper provides an in-depth introduction to four forms of Mn-based catalysts: single manganese oxide-based catalysts, binary Mn-based metal oxide catalysts, ternary and multivariate Mn-based metal oxide catalysts, and nano-Mn-based catalysts. Advances have been made in enhancing Mn-based catalysts’ redox performance and acidity, increasing the active component’s dispersion, lowering binding energy, enlarging specific surface area, raising the Mn4+/Mn3+ ratio, and enriching surface adsorbed oxygen by optimizing preparation methods, altering the oxidation state of active components, modifying crystal phases, and adjusting morphology and dispersion, along with various metal modifications. The mechanism of low-temperature NH3-SCR reactions has been elucidated using various characterization techniques. Finally, the research directions and future prospects of Mn-based catalysts for low-temperature NH3-SCR reactions are discussed, aiming to accelerate the commercial application of new Mn-based catalysts.
Simultaneous Removal of Strontium, Manganese, Lead and Arsenate from Wastewaters Using a Green and Low-Cost Adsorbent Derived from Nut Residues
Authors: Vamvuka Despina , Sdoukou Elena , Stratakis Antonios
Published: November 2024

The potential of a nut residue, activated only by physical means, to simultaneously adsorb Sr2+, Mn2+, Pb2+ and As5+ from contaminated waters was investigated. Mono-metal and multi-metal adsorption behavior and adsorption capacities by the solid material were compared for a range of initial metals concentrations, adsorbent dose, contact time and solution pH. The mechanisms of adsorption were examined by conducting structural, mineralogical and chemical analyses and applying two isotherm models to simulate experimental data. In the case of mono-metal adsorption, the maximum uptake of Sr2+ by the biochar was 12.3, of Mn2+ 23.8, of Pb2+ 24.7 and of As5+ 12.4 mg/g. In the case of multi-metal adsorption, the uptake of each metal was enhanced as the total ion flux density increased, revealing that there was no competition between these ions for biochar’s sorption sites. For an adsorbent dose of 2 g/L, the maximum adsorption capacity of biochar for Sr2+, Mn2+, Pb2+ and As5+ could be raised up to 47.6, 49.9, 25 and 48.7 mg/g, respectively. Potential adsorption mechanisms were chemical complexation or electron coordination between the metals and the biochar matrix, as well as mineral precipitation on the adsorbent surface.
Assessment of Bioactive Compounds and Physiological Activities of Ethanolic and Aqueous Extracts from Black Rice, Black Rice Bran, and Milled Black Rice
Authors: Fu Xiaolu , Oh Geon , Im Ji-Hyun , Lim June-Seok , Kim Min-Hye , Lee Ok-Hwan
Published: November 2024

Black rice (BR) is considered one of the healthiest foods worldwide. This study assessed the bioactive compound contents and antioxidant activities of the distilled water (DW) and 80% ethanol (EtOH) extracts of BR, black rice bran (BRB), and milled black rice (MBR). In addition, their anti-obesity, anti-obesogenic, and anti-muscle atrophy effects were comparatively evaluated. The results revealed that the 80% EtOH extract of BR contained higher contents of β-glucan, total flavonoids, and total phenolics (26.97 ± 0.70 mg gallic acid equivalents (GAE)/g and 16.58 ± 0.37 mg quercetin equivalents (QE)/g, respectively) and showed higher antioxidant activity than those of the BRB and MBR extracts. On the other hand, BRB contained the highest content of γ-oryzanol, which was 15.12 ± 0.03 mg/g. Moreover, the 80% EtOH extract of BR exhibited a stronger anti-obesogenic effect by downregulating adipogenesis-related proteins (PPAR-γ, C/EBP-α, and FAS) and upregulating lipolysis-related proteins (PGC-1α and CPT-1), while the BRB extract effectively increased myotube diameter and fusion index. Overall, these findings indicate that the 80% EtOH extracts of BR, BRB, and MBR, particularly the BR extract, have high potential as natural antioxidants and anti-obesity agents, with BRB showing promise in preventing muscle atrophy.
Elliptic Quaternion Matrices: A MATLAB Toolbox and Applications for Image Processing
Authors: Kösal Hidayet Hüda , Kişi Emre , Akyiğit Mahmut , Çelik Beyza
Published: November 2024

In this study, we developed a MATLAB 2024a toolbox that performs advanced algebraic calculations in the algebra of elliptic numbers and elliptic quaternions. Additionally, we introduce color image processing methods, such as principal component analysis, image compression, image restoration, and watermarking, based on singular-value decomposition theory for elliptic quaternion matrices; we added these to the newly developed toolbox. The experimental results demonstrate that elliptic quaternionic methods yield better image analysis and processing performance compared to other hypercomplex number-based methods.
Simulation and Optimization of a Hybrid Photovoltaic/Li-Ion Battery System
Authors: Yu Xiaoxiao , Fan Juntao , Wu Zihua , Hong Haiping , Xie Huaqing , Dong Lan , Li Yihuai
Published: November 2024

The coupling of solar cells and Li-ion batteries is an efficient method of energy storage, but solar power suffers from the disadvantages of randomness, intermittency and fluctuation, which cause the low conversion efficiency from solar energy into electric energy. In this paper, a circuit model for the coupling system with PV cells and a charge controller for a Li-ion battery is presented in the MATLAB/Simulink environment. A new three-stage charging strategy is proposed to explore the changing performance of the Li-ion battery, comprising constant-current charging, maximum power point tracker (MPPT) charging and constant-voltage charging stages, among which the MPPT charging stage can achieve the fastest maximum power point (MPP) capture and, therefore, improve battery charging efficiency. Furthermore, the charge controller can improve the lifetime of the battery through the constant-current and constant-voltage charging scheme. The simulation results indicate that the three-stage charging strategy can achieve an improvement in the maximum power tracking efficiency of 99.9%, and the average charge controller efficiency can reach 96.25%, which is higher than that of commercial chargers. This work efficiently matches PV cells and Li-ion batteries to enhance solar energy storages, and provides a new optimization idea for hybrid PV/Li-ion systems.
Efficacy of Autologous Micrografting Technology in Managing Osteoarthritis Pain: A Pilot Study
Authors: Helito Camilo Partezani , Pessei Valeria , Zaniboni Cecilia , Muntean Ilie
Published: November 2024

Osteoarthritis (OA) is one of the most common joint diseases worldwide, predominantly present in elderly people. Being a major source of pain for patients, it is debilitating and leads inevitably to a reduction in quality of life. The management of OA needs a personalized and multidimensional approach, resulting in the emergence of new regenerative and non-invasive methods, such as the use of micrografts. In this pilot study, Rigenera® Technology was employed to obtain micrografts of cartilage tissue to be injected into the knees of 10 patients with osteoarthritic pain. To assess the efficacy of the treatment concerning pain reduction at this site, patients were asked to complete KOOS and WOMAC questionnaire and a VAS test before and after the procedure. The results presented in this article show how Rigenera® treatment can potentially improve OA symptoms, alleviating pain in patients.
Effect of Structure on Osteogenesis of Bone Scaffold: Simulation Analysis Based on Mechanobiology and Animal Experiment Verification
Authors: Li Jialiang , Sun Zhongwei , Wei Xinyu , Tan Qinghua , He Xijing
Published: November 2024

Porous scaffolds, whose mechanical and biological properties are greatly affected by structure, are new treatments for bone defects. Since bone repair is related to biomechanics, analyzing the osteogenesis in scaffolds based on mechanical stimulation may become a more effective method than traditional biological experiments. A tissue regeneration algorithm based on mechanical regulation theory was implemented in this study to evaluate the osteogenesis of classical scaffolds (Gyroid, I-WP, and Diamond). In vivo experiments were used to verify and supplement the simulation results. Different approaches to describing osteogenesis were discussed. Bone formation was more obvious inside the Gyroid scaffold and outside the I-WP scaffold, while the new bone was more sufficient and evenly distributed in the Diamond scaffold. The osteogenesis pattern of the bone scaffold in the simulation analysis was consistent with the results of animal experiments, and the bone volume calculated by the tissue fraction threshold method and the elastic modulus threshold method was very similar to the in vivo experiment. The mechanical responses mediated by structure affect the osteogenesis of bone scaffolds. This study provided and confirmed a simulation analysis method based on mechanical regulation theory, which is more efficient and economical for analyzing tissue healing in bioengineering.
A Survey on AI-Driven Mouse Behavior Analysis Applications and Solutions
Authors: Guo Chaopeng , Chen Yuming , Ma Chengxia , Hao Shuang , Song Jie
Published: November 2024

The physiological similarities between mice and humans make them vital animal models in biological and medical research. This paper explores the application of artificial intelligence (AI) in analyzing mice behavior, emphasizing AI’s potential to identify and classify these behaviors. Traditional methods struggle to capture subtle behavioral features, whereas AI can automatically extract quantitative features from large datasets. Consequently, this study aims to leverage AI to enhance the efficiency and accuracy of mice behavior analysis. The paper reviews various applications of mice behavior analysis, categorizes deep learning tasks based on an AI pyramid, and summarizes AI methods for addressing these tasks. The findings indicate that AI technologies are increasingly applied in mice behavior analysis, including disease detection, assessment of external stimuli effects, social behavior analysis, and neurobehavioral assessment. The selection of AI methods is crucial and must align with specific applications. Despite AI’s promising potential in mice behavior analysis, challenges such as insufficient datasets and benchmarks remain. Furthermore, there is a need for a more integrated AI platform, along with standardized datasets and benchmarks, to support these analyses and further advance AI-driven mice behavior analysis.
Genome-Wide Identification of the Oxidative Stress 3 (OXS3) Gene Family and Analysis of Its Expression Pattern During Ovule Development and Under Abiotic Stress in Cotton
Authors: Chen Yu , Yang Rui , Wang Haojie , Xiao Xianghui , Xing Baoguang , Li Yanfang , Liu Qiankun , Lu Quanwei , Peng Renhai , Chen Guodong , Wang Yongbo , Li Pengtao
Published: November 2024

Oxidative Stress 3 (OXS3) encodes a plant-specific protein that makes great contributions to a plant’s stress tolerance. However, reports on genome-wide identification and expression pattern analyses of OXS3 were only found for Arabidopsis, wheat, and rice. The genus Gossypium (cotton) serves as an ideal model for studying allopolyploidy. Therefore, two diploid species (G. raimondii and G. arboreum) and two tetraploid species (G. hirsutum and G. barbadense) were chosen in this study for a bioinformatics analysis, resulting in 12, 12, 22, and 23 OXS3 members, respectively. A phylogenetic tree was constructed using 69 cotton OXS3 genes alongside 8 Arabidopsis, 10 rice, and 9 wheat genes, which were classified into three groups (Group 1–3). A consistent evolutionary relationship with the phylogenetic tree was observed in our structural analysis of the cotton OXS3 genes and the clustering of six conserved motifs. Gene duplication analysis across the four representative Gossypium species suggested that whole-genome duplication, segmental duplication, and tandem duplication might play significant roles in the expansion of the OXS3 gene family. Some existing elements responsive to salicylic acid (SA), jasmonic acid (JA), and abscisic acid (ABA) were identified by cis-regulatory element analysis in the promoter regions, which could influence the expression levels of cotton OXS3 genes. Furthermore, the expression patterns of the GhOXS3 gene were examined in different tissues or organs, as well as in developing ovules and fibers, with the highest expression observed in ovules. GhOXS3 genes exhibited a more pronounced regulatory response to abiotic stresses, of which ten GhOXS3 genes showed similar expression patterns under cold, heat, salt, and drought treatments. These observations were verified by quantitative real-time PCR experiments. These findings enhance our understanding of the evolutionary relationships and expression patterns of the OXS3 gene family and provide valuable insights for the identification of vital candidate genes for trait improvement in cotton breeding.
Setting Up an NGS Sequencing Platform and Monitoring Molecular Markers of Anti-Malarial Drug Resistance in Djibouti
Authors: Papa Mze Nasserdine , Arreh Houssein Yonis , Moussa Rahma Abdi , Elmi Mahdi Bachir , Waiss Mohamed Ahmed , Abdi Mohamed Migane , Robleh Hassan Ibrahim , Guelleh Samatar Kayad , Abdi Abdoul-ilah Ahmed , Bogreau Hervé , Basco Leonardo K. , Khaireh Bouh Abdi
Published: November 2024

Djibouti is confronted with malaria resurgence, with malaria having been occurring in epidemic proportions since a decade ago. The current epidemiology of drug-resistant Plasmodium falciparum is not well known. Molecular markers were analyzed by targeted sequencing in 79 P. falciparum clinical isolates collected in Djibouti city in 2023 using the Miseq Illumina platform newly installed in the country. The objective of the study was to analyze the key codons in these molecular markers associated with antimalarial drug resistance. The prevalence of the mutant Pfcrt CVIET haplotype (92%) associated with chloroquine resistance and mutant Pfdhps-Pfdhfr haplotypes (7.4% SGEA and 53.5% IRN, respectively) associated with sulfadoxine-pyrimethamine resistance was high. By contrast, Pfmdr1 haplotypes associated with amodiaquine (YYY) or lumefantrine (NFD) resistance were not observed in any of the isolates. Although the “Asian-type” PfK13 mutations associated with artemisinin resistance were not observed, the “African-type” PfK13 substitution, R622I, was found in a single isolate (1.4%) for the first time in Djibouti. Our genotyping data suggest that most Djiboutian P. falciparum isolates are resistant to chloroquine and sulfadoxine-pyrimethamine but are sensitive to amodiaquine, lumefantrine, and artemisinin. Nonetheless, the presence of an isolate with the R622I PfK13 substitution is a warning signal that calls for a regular surveillance of molecular markers of antimalarial drug resistance.
Does Ovariectomy Affect the Mechanics of the Mandibular Alveolar Bone Structure of Wistar Rats Subjected to Tooth Loss and Modified Diet?—A FEA Study
Authors: Furlan Camila C. , Freire Alexandre R. , Ferreira-Pileggi Beatriz C. , Watanabe Luciane N. O. , Botacin Paulo R. , Prado Felippe B. , Rossi Ana Cláudia
Published: November 2024

The aim of this study was to evaluate the mechanical effect of ovariectomy, diet, and tooth extraction on the bone structure of the mandible of Wistar rats. Mandibles from 40 female Wistar rats were used, divided into rats with ovariectomy surgery or surgical simulation. Half of the rats had the right upper incisor extracted and a soft diet was introduced for half of the animals for 30 days. After euthanasia, microtomography of the mandibles was performed for bone segmentation to construct three-dimensional models. Each mandible was subjected to a three-point bending test. The simulation by finite element method was configured according to the protocol for positioning the part on the support and force action by the load cell defined in the mechanical tests. Stress dissipation was described qualitatively on a color scale distributed in ranges of stress values. All models showed a higher concentration of stresses in the regions of force action and in the support regions, with differences in stress values and locations. Diet and dental condition interfered in the distribution of stresses, with the lateral surface of the mandible being more influenced by diet and the medial surface of the mandible by diet and dental condition.
KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories
Authors: Aziz Muzzamil , Popa Ioana , Zia Amjad , Fischer Andreas , Khan Sabih Ahmed , Hamedani Amirreza Fazely , Asif Abdul R.
Published: November 2024

We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in extracting targeted information quickly and efficiently from online medical literature repositories, such as PubMed, PubMed Central, and other biomedical sources. The system utilizes various open-source machine learning tools, such as GROBID, S2ORC, and BioC to streamline the processes of data extraction and data mining. Central to the functionality of KnowVID-19 is its keyword-based text classification process, which plays a pivotal role in organizing and categorizing the extracted information. By employing machine learning techniques for keyword extraction—specifically RAKE, YAKE, and KeyBERT—KnowVID-19 systematically categorizes publication data into distinct topics and subtopics. This topic structuring enhances the system’s ability to match user queries with relevant research, improving both the accuracy and efficiency of the search results. In addition, KnowVID-19 leverages the NetworkX Python library to construct networks of the most relevant terms within publications. These networks are then visualized using Cytoscape software, providing a graphical representation of the relationships between key terms. This network visualization allows researchers to easily track emerging trends and developments related to COVID-19, long COVID, and associated topics, facilitating more informed and user-centered exploration of the scientific literature. KnowVID-19 also provides an interactive web application with an intuitive, user-centered interface. This platform supports seamless keyword searching and filtering, as well as a visual network of term associations to help users quickly identify emerging research trends. The responsive design and network visualization enables efficient navigation and access to targeted COVID-19 literature, enhancing both the user experience and the accuracy of data-driven insights.
Cefiderocol in Combating Carbapenem-Resistant Acinetobacter baumannii: Action and Resistance
Authors: Yousefi Bahman , Kashanipoor Setayesh , Mazaheri Payman , Alibabaei Farnaz , Babaeizad Ali , Asli Shima , Mohammadi Sina , Gorgin Amir Hosein , Alipour Tahereh , Oksenych Valentyn , Eslami Majid
Published: November 2024

Acinetobacter baumannii (A. baumannii) has emerged as a prominent multidrug-resistant (MDR) pathogen, significantly complicating treatment strategies due to its formidable resistance mechanisms, particularly against carbapenems. Reduced membrane permeability, active antibiotic efflux, and enzymatic hydrolysis via different β-lactamases are the main resistance mechanisms displayed by A. baumannii, and they are all effective against successful treatment approaches. This means that alternate treatment approaches, such as combination therapy that incorporates beta-lactams, β-lactamase inhibitors, and novel antibiotics like cefiderocol, must be investigated immediately. Cefiderocol, a new catechol-substituted siderophore cephalosporin, improves antibacterial activity by allowing for better bacterial membrane penetration. Due to its unique structure, cefiderocol can more efficiently target and destroy resistant bacteria by using iron transport systems. Through its inhibition of peptidoglycan formation through binding to penicillin-binding proteins (PBPs), cefiderocol avoids conventional resistance pathways and induces bacterial cell lysis. The possibility of resistance development due to β-lactamase synthesis and mutations in PBPs, however, emphasizes the need for continued investigation into cefiderocol’s efficacy in combination treatment regimes. Cefiderocol’s siderophore mimic mechanism is especially important in iron-limited conditions because it can use ferric-siderophore transporters to enter cells. Additionally, its passive diffusion through bacterial porins increases its intracellular concentrations, making it a good option for treating carbapenem-resistant A. baumannii, especially in cases of severe infections and ventilator-associated diseases (IVACs). Cefiderocol may reduce MDR infection morbidity and mortality when combined with customized antimicrobial treatments, but further investigation is needed to improve patient outcomes and address A. baumannii resistance issues.
NSUN2 Promotes Head and Neck Squamous Cell Carcinoma Progression by Targeting EMT-Related Gene LAMC2 in an m5C-YBX1-Dependent Manner
Authors: Huang Shuojin , Cao Congyuan , Tang Dongxiao , Liu Yiwen , Zhou Wanhang , Liu Lianlian , Zheng Xin , He Qianting , Wang Anxun
Published: November 2024

Background/Objectives: Head and neck squamous cell carcinoma (HNSCC) is a prevalent and aggressive cancer with high rates of metastasis and poor prognosis. Recent research highlights the role of 5-methylcytosine (m5C) in cancer progression. NSUN2, an m5C methyltransferase, has been implicated in various cancers, but its role in HNSCC remains elusive. Methods: NSUN2 expression and its impact on HNSCC were analyzed by using clinical samples and bioinformatic analysis. m5C-Bis-Seq was used to assess changes in mRNA m5C modification and identify downstream targets. Both in vitro and vivo studies were performed to evaluate the impact of NSUN2 manipulation on tumor growth and metastasis. Results: Results indicated that NSUN2 was significantly upregulated in HNSCC tissues compared to normal tissues and was associated with poor prognosis. NSUN2 knockdown led to decreased cell proliferation, migration, and invasion in vitro and reduced tumorigenicity and lymph node metastasis in vivo. m5C-Bis-Seq revealed altered m5C-modification patterns upon NSUN2 knockdown, with LAMC2 identified as a key downstream target. Conclusions: NSUN2-mediated m5C-modification enhanced LAMC2 stability, promoting epithelial–mesenchymal transition (EMT) signaling pathways. These findings demonstrate that NSUN2 promotes the initiation and progression of HNSCC by stabilizing the LAMC2 transcript through m5C-dependent mechanisms, offering a promising epitranscriptomic-targeted therapeutic approach for HNSCC.
Mechanical Properties of Cocoon Silk Derivatives for Biomedical Application: A Systematic Review
Authors: Adams Alynah J. , Escobar-Domingo Maria J. , Foppiani Jose , Posso Agustin N. , Schonebaum Dorien I. , Garbaccio Noelle , Smith Jade E. , Foster Lacey , Mustoe Audrey K. , Tobin Micaela , Lee Bernard T. , Lin Samuel J.
Published: November 2024

Background: Despite cocoon silk’s well-known strength, biocompatibility, and hypoallergenic properties, its potential medical applications remain largely unexplored. This review, therefore, is of significance as it evaluates the mechanical properties and clinical potential of cocoon silk, a material with promising applications in biomaterials and tissue engineering. Methods: We conducted a comprehensive systematic review adhering to PRISMA guidelines. Our focus was on the primary outcomes of tensile strength and elongation at break, and the secondary outcomes included other mechanical properties, applications, and complications. Results: Out of the 192 silk-related studies, 9 met the criteria. These studies revealed that cocoon silk derivatives exhibit a wide range of tensile strength, from 0.464 to 483.9 MPa (with a median of 4.27 MPa), and elongation at break, from 2.56% to 946.5% (with a median of 60.0%). Biomedical applications of cocoon silk derivatives span from tissue regeneration (n = 6) to energy harvesting (n = 4). Complications often arose from material fragility in non-optimized derivative components. Conclusions: While cocoon silk shows expansive promise due to its suitable mechanical properties and low complication risk, plenty remains to be discovered. Future research is crucial to fully realizing its vast surgical and biomedical potential.
A Multi-Strategy Siberian Tiger Optimization Algorithm for Task Scheduling in Remote Sensing Data Batch Processing
Authors: Liu Ziqi , Xue Yong , Zhao Jiaqi , Yin Wenping , Zhang Sheng , Li Pei , He Botao
Published: November 2024

With advancements in integrated space–air–ground global observation capabilities, the volume of remote sensing data is experiencing exponential growth. Traditional computing models can no longer meet the task processing demands brought about by the vast amounts of remote sensing data. As an important means of processing remote sensing data, distributed cluster computing’s task scheduling directly impacts the completion time and the efficiency of computing resource utilization. To enhance task processing efficiency and optimize the allocation of computing resources, this study proposes a Multi-Strategy Improved Siberian Tiger Optimization (MSSTO) algorithm based on the original Siberian Tiger Optimization (STO) algorithm. The MSSTO algorithm integrates the Tent chaotic map, the Lévy flight strategy, Cauchy mutation, and a learning strategy, showing significant advantages in convergence speed and global optimal solution search compared to the STO algorithm. By combining stochastic key encoding schemes and uniform allocation encoding schemes, taking the task scheduling of aerosol optical depth retrieval as a case study, the research results show that the MSSTO algorithm significantly shortens the completion time (21% shorter compared to the original STO algorithm and an average of 15% shorter compared to nine advanced algorithms, such as a particle swarm algorithm and a gray wolf algorithm). It demonstrates superior solution accuracy and convergence speed over various competing algorithms, achieving the optimal execution sequence and machine allocation scheme for task scheduling.
Multitask-Based Anti-Collision Trajectory Planning of Redundant Manipulators
Authors: Zhao Suping , Du Yushuang , Chen Chaobo , Song Xiaohua , Zhang Xiaoyan
Published: November 2024

During performing multiple tasks of a redundant manipulator, the obstacles affect the sequential order of task areas and the joint trajectories. The end-effector is constrained to visit multiple task areas with an optimal anti-collision path, while the joints are required to move smoothly and avoid predefined obstacles. A special encoding genetic algorithm (SEGA) is proposed for multitask-based anti-collision trajectory planning. Firstly, the spatial occupancy relationship between obstacles and manipulator is developed utilizing the theory of spherical enclosing box and spatial superposition. The obstacles are detected according to the relative position relationship between linear segments and spheres. Secondly, each joint trajectory between adjacent task areas is depicted with a sixth-degree polynomial. Additionally, each joint trajectory is improved via optimizing the unknown six-order coefficient. By searching for optimal sequential order of task areas, optimal collision detection results, and optimal joint trajectories, the multitask-based anti-collision trajectory planning problem is transformed into a parameter optimization problem. In SEGA, the cost function consists of two parts, including the end-effector path length and the variation of joint angles. Moreover, each chromosome consists of three categories of genes, including the sequential order of task areas, the sequential order of joint configurations corresponding to task areas, and the unknown coefficients for anti-collision joint trajectories. Finally, numerical simulations are carried out to verify the proposed method.
A Comprehensive Approach to Facade Design for Preventing Rainwater Penetration: Implementation in Spanish Regions
Authors: Pérez-Bella José M. , Domínguez-Hernández Javier , Orna-Carmona Martín , Salesa-Bordanaba Ángel , Orr Scott A.
Published: November 2024

Rainwater penetration into building facades results in multiple issues, including material and structural degradation, reduced energy efficiency, and health-related concerns among occupants. Currently, the watertightness performance of building facades is assessed based on standardized tests, which simulate generic water supplies and pressure differentials that do not reflect the specific exposure conditions of each facade. Consequently, practitioners’ decisions regarding facade design often rely on qualitative and imprecise criteria that do not align with the actual climatic loads. In this article, a comprehensive approach to facade design for preventing rainwater penetration is described, incorporating specific methodological refinements for reliable and practical implementation across various Spanish regions. In this approach, the parameters surpassed during any watertightness test (defined by the magnitude and duration of the water supplies and pressure differentials) are correlated with the recurrence of equivalent climatic exposures at the facade (determined by the climatic conditions of the site, facade height, and surrounding environment), thereby quantitatively characterizing the facade watertightness performance. The findings used to refine this method for implementation in Spain are illustrated and validated using selected case studies, and a comprehensive database is provided to enable its application at 360 locations distributed across various regions of the country.
Study on Cubic Stiffness Nonlinear Energy Sink Controlling Dynamic Responses of Multi-Degree-of-Freedom Structure by Shake Table Tests
Authors: Wang Qinhua , Yi Xueshuang , Yang Dongxu , Tang Yi
Published: November 2024

A nonlinear energy sink (NES) has such advantages as controlling broader band responses and better robustness than conventional control devices like tuned mass dampers (TMDs). In this research, a cubic stiffness NES mitigating the dynamic responses of a multi-degree-of-freedom structure under white noise, harmonic and seismic excitations was tested using a shake table, and the influences of the parameters of the NES on vibration mitigation effects were investigated. The test results indicate that the NES has the same vibration mitigation effects on the acceleration responses under the white noise and harmonic excitations as TMDs, even though the mass ratio of the NES is less than that of a TMD. The average control effects of the NES on the acceleration responses of the structure under the effect of 100 seismic waves are better than those of a TMD, which indicates that an NES has better robustness than a TMD.
Self-Compacting Mixtures of Fair-Faced Concrete Based on GGBFS and a Multicomponent Chemical Admixture—Technological and Rheological Properties
Authors: Larsen Oksana A. , Samchenko Svetlana V. , Zemskova Olga V. , Korshunov Andrey V. , Solodov Artyom A.
Published: November 2024

The use of superplasticizers in a self-compacting concrete mix without the addition of a foaming agent in practice leads to a well-known problem associated with increased air entrainment and promotes the formation of harmful large bubbles, high-void content, and ununiform appearance. This paper presents research on the properties of cement paste consisting of Ordinary Portland Cement (OPC), powder based on ground granulated blast furnace slag (GBBS), and superplasticizer. The methodology of this study was the estimation of flow diameter and flow time, as well as the evaluation of the rheological characteristics. The influence of ground granulated blast furnace slag and polycarboxylate plasticizer on the flowability and viscosity of cement paste was studied. The effect of superplasticizer (SP) based on polycarboxylate esters (PCE) anti-foaming agent (AFA) based on a glycol ester and air-entraining admixture (AEA) based on an amphoteric surfactant on flowability, viscosity, rheological properties and the strength of the cement paste was evaluated. It was found that the increase of slag content in cement paste (25%) with the presence of superplasticizer (0.64%) significantly changes the flowability and viscosity. It was stated that the addition of 0.04% anti-foaming agents increases flowability (20%) and reduces viscosity (44%) of cement paste. It was stated that the addition of small dosages of glycol ester-based anti-foaming agent (0.02 and 0.04%) significantly changes the rheological properties, decreases the shear yield stress by 2.1–2.8 times, the plastic viscosity by 2.4–2.6 times and apparent viscosity 1.6–2.5 times, improves the compressive strength at the age of 1 and 7 days by 2.5 and 1.4 times, respectively. The addition of air-entraining admixture led to a decrease in the plastic viscosity by 1.2–1.4 times. It was stated that the presence of air-entraining admixture assists in increasing the apparent viscosity by 1.7–2.4 times. It was shown that the presence of complex admixtures of various origins, purposes, and mechanisms of action would assist in predicting the behavior of concrete mixtures under the conditions of the building site and reduce the consumption of polycarboxylate esters due to the enhancing plasticizing effect of anti-foaming agent and air-entraining admixture.