bluuebunny/crossref_metadata_2025 huggingface dataset:
Structure-Based Screening and Optimization of PafA Inhibitors with Potent Anti-Tuberculosis Activity
Authors: Jiang Hewei , Xie Jin , Wang Lei , Chen Hong , Zheng Yunxiao , Wang Xuening , Guo Shujuan , Wang Tao , Bi Jing , Zhang Xuelian , Pei Jianfeng , Tao Shengce
Published: December 2024

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a major global health challenge, primarily due to the increasing prevalence of drug resistance. Consequently, the development of drugs with novel modes of action (MOAs) is urgently required. In this study, we discovered and characterized two potent inhibitors, Pi-1-58 and Pi-2-26, targeting the prokaryotic ubiquitin-like protein (Pup) ligase PafA of Mtb. Pi-1-58 was identified through computer-aided drug screening. The binding mode of Pi-1-58 and PafA was investigated through molecular docking, followed by experimental validations. Based on the core structure of Pi-1-58, we developed a more potent inhibitor, Pi-2-26, through structure-guided drug design. Both Pi-1-58 and Pi-2-26 exhibited selective and specific inhibition of PafA according to biochemical and cell-based assays. Importantly, the inhibitors demonstrated significant inhibition on Mtb survival in the presence of nitric oxide, mimicking the in vivo nitrogen limited environment that Mtb encountered in macrophage. Our findings provide a comprehensive understanding of the structural and functional aspects of these PafA inhibitors and establish a solid foundation for the development of novel therapeutics against tuberculosis.
A Role for Periostin Pathological Variants and Their Interaction with HSP70-1a in Promoting Pancreatic Cancer Progression and Chemoresistance
Authors: Tsunetoshi Yasuo , Sanada Fumihiro , Kanemoto Yuko , Shibata Kana , Masamune Atsushi , Taniyama Yoshiaki , Yamamoto Koichi , Morishita Ryuichi
Published: December 2024

Pancreatic ductal adenocarcinoma (PDAC) characterized by an abundant cancer stroma is an aggressive malignancy with a poor prognosis. Periostin (Pn) is a key extracellular matrix (ECM) protein in various tumor progression. Previously, we described the role of Pn alternative splicing variants (ASVs) with specific functional features in breast cancer. Pn is known to associate with a chemoresistance of PDAC, but the functions of the Pn-ASVs remain largely unknown. In this study, we focused on physiological and pathological Pn-ASVs, and examined the characteristics of Pn-expressing cells and the difference in function of each ASV. We found that cancer-associated fibroblasts (CAFs) are a main source of Pn synthesis, which selectively secrete pathological Pn-ASVs with exon 21 both in mouse and human samples. RNA sequencing identified a gene signature of Pn-positive CAFs associated with ECM-related genes and chemokines, factors that shape the chemoresistance tumor microenvironment (TME). Additionally, only pathological Pn-ASVs interacted with heat shock protein 70-1a (HSP70-1a), leading to significant rescue of gemcitabine-induced PDAC apoptosis. In silico analysis revealed that the presence or absence of exon 21 changes the tertiary structure of Pn and the binding sites for HSP70-1a. Altogether, Pn-ASVs with exon 21 secreted from CAFs play a key role in supporting tumor growth by interacting with cancer cell-derived HSP70-1a, indicating that Pn-ASVs with exon 21 might be a potential therapeutic and diagnostic target in PDAC patients with rich stroma.
The Probiotics Lacticaseibacillus paracasei, Lacticaseibacillus rhamnosus, and Limosilactobacillus fermentum Enhance Spermatozoa Motility Through Mitochondrial Function-Related Factors
Authors: Lee Eun Hye , Kim Yu Jin , Jung Il Seon , Kim Dae Keun , Lee Jae Ho
Published: December 2024

Idiopathic male infertility is characterized by increased mortality or reduced motility and vitality of sperm. There are several reports on probiotics in the male reproductive tract, but the effects of these probiotics on sperm motility remain to be elucidated. In this study, we investigated the impact and mechanism of probiotics on the vitality and motility of mouse sperm. We collected mature sperm from the caudal vas deferens of mice and prepared three probiotics donated by HEM Pharma Inc.: Lacticaseibacillus rhamnosus, Limosilactobacillus fermentum, and Lacticaseibacillus paracasei. We analyzed the vitality and motility of sperm according to the concentration and duration of probiotic treatment. The probiotics increased the motility and vitality of sperm. Specifically, they enhanced sperm motility by 30–40% compared with untreated sperms. The probiotics enhanced mitochondrial activity in sperm through specific factors like AMPK and SIRT1. All three probiotics enhanced the activities of mitochondrial function-related proteins in sperm. In conclusion, we found that the probiotics improved the vitality and motility of mouse sperm and increased mitochondrial function in mature sperm. These findings suggest that probiotics can be utilized to enhance sperm motility and treat male infertility.
The Role of the Vaginal and Endometrial Microbiomes in Infertility and Their Impact on Pregnancy Outcomes in Light of Recent Literature
Authors: Balla Bernadett , Illés Anett , Tobiás Bálint , Pikó Henriett , Beke Artúr , Sipos Miklós , Lakatos Péter , Kósa János P.
Published: December 2024

The Human Microbiome Project (HMP), initiated in 2007, aimed to gather comprehensive knowledge to create a genetic and metabolic map of human-associated microorganisms and their contribution to physiological states and predisposition to certain diseases. Research has revealed that the human microbiome is highly diverse and exhibits significant interpersonal variability; consequently, its exact impact on health remains unclear. With the development of next-generation sequencing (NGS) technologies, the broad spectrum of microbial communities has been better characterized. The lower female genital tract, particularly the vagina, is colonized by various bacterial species, with Lactobacillus spp. predominating. The upper female genital tract, especially the uterus, was long considered sterile. However, recent studies have identified a distinct endometrial microbiome. A Lactobacillus-dominated microbiome of the female genital tract is associated with favorable reproductive outcomes, including higher success rates in natural conception and assisted reproductive technologies (ART). Conversely, microbial imbalances, or dysbiosis, marked by reduced Lactobacilli as well as an increased diversity and abundance of pathogenic species (e.g., Gardnerella vaginalis or Prevotella spp.), are linked to infertility, implantation failure, and pregnancy complications such as miscarriage and preterm birth. Dysbiosis can impair the vaginal or endometrial mucosal barrier and also trigger pro-inflammatory responses, disrupting essential reproductive processes like implantation. Despite growing evidence supporting the associations between the microbiome of the female genital tract and certain gynecological and obstetric conditions, clear microbial biomarkers have yet to be identified, and there is no consensus on the precise composition of a normal or healthy microbiome. The lack of standardized protocols and biomarkers limits the routine use of microbiome screening tests. Therefore, larger patient cohorts are needed to facilitate comparative studies and improve our understanding of the physiological microbiome profiles of the uterus and vagina, as well as how dysbiosis may influence clinical outcomes. Further research is required to refine diagnostic tools and develop personalized therapeutic strategies to improve fertility and pregnancy outcomes.
Health Promoting Properties of Vitamins C and D Against HIV Disease Progression, a Narrative Review
Authors: Markou Garyfallos , Panoutsopoulou Ellie , Stavrakoudi Evangelia , Mylonas Charalampos , Ioannou Sofia , Chini Maria , Tsoupras Alexandros
Published: December 2024

Human immunodeficiency virus (HIV) has troubled humankind for many years. The rate of new HIV cases is decreasing steadily, mostly because of safer sexual practices and scientific advances in medicine. However, the number of HIV-related trials has significantly increased, as the search for a definite cure for HIV is still fruitless. Our current treatment options involve antiretroviral therapy (ART) with various drug combinations that lower the patients’ viral load in order for the immune system to reconstitute itself. This way, adherent patients achieve a life expectancy similar to the general population. Besides the established treatment protocols, the focus has currently shifted towards secondary pharmaceutical regimen programs that enhance a patient’s immune system and response to opportunistic infections. Vitamins C and D are easily obtainable even in the developing world and are known to improve an individual’s daily life, with vitamin D enhancing the human immune response and vitamin C having an assisting role in both the immune response and as an important antioxidant. Recently, many studies assessing the effect of these vitamins on the progression of HIV have been performed. We aimed to collect and review these studies in order to determine the necessity of the supplementation of these vitamins in HIV-infected patients, which might complement the existing ART. To this day, the scientific community is conflicted, and more studies must be conducted before a definite conclusion about these vitamins’ effects on HIV patients can be reached.
A Climate Adaptation Asset Risk Management Approach for Resilient Roadway Infrastructure
Authors: Chang Carlos M. , Hossain Abid
Published: December 2024

As climate change intensifies, roadway infrastructure is increasingly at risk from extreme weather events including floods, hurricanes, and wildfires. This paper presents a system-of-systems performance-based asset risk management approach, designed to integrate various elements for effective investment prioritization and infrastructure resilience. Central to this approach are an Asset Inventory Database and a Risk Registry Database, supported by a Common Reference Location System (GIS). These components are the foundation for analytical modules to assess vulnerability and resilience based on exposure, sensitivity, and adaptive capacity. The approach includes an actionable framework to support a proactive data-driven performance-based management process for prioritizing investments. The project prioritization process consists of four steps: identifying risk factors, integrating climate data, conducting advanced risk assessments, and project prioritization. The goal is to prioritize resource allocation and develop climate-adaptive risk mitigation management strategies. Key performance indicators (KPIs) are recommended for setting goals, monitoring the outcomes of these strategies, and measuring their benefits. A Climate Impact Vulnerability Score (CIVS) is proposed to assess the susceptibility of infrastructure assets to environmental conditions. The approach also leverages artificial intelligence (AI) tools to analyze roadway infrastructure vulnerabilities and climate risk exposure. A case study applied to bridges using k-means clustering and multi-criteria decision analysis (MCDA) demonstrates the potential of advanced analytical methods in improving decision-making. This research concludes that the approach will contribute to enhancing resource allocation, supporting strategic decisions, aligning goals with budgets prioritizing investments, and strengthening the resilience and sustainability of roadway infrastructure.
A Study on the Volume Expansion of Vanadium-Based Alloy Powders and Compacts During Hydrogen Sorption
Authors: Li Mojia , Hu Yunfeng , Kong Hanyang , Huang Qiuwei , Chen Yusong , Yan Yigang
Published: December 2024

Storing hydrogen in solid metal hydrides provides a safe and efficient storage approach. However, the large volume expansion of metal hydrides during hydrogen absorption imposes substantial stresses on the wall of a hydrogen storage tank. In this study, volume expansion behavior of a V-based hydrogen storage alloy, V61Cr24Ti12Ce3, with body-centered-cubic, was investigated using a self-developed in situ expansion testing device. The lattice expansion of the V61Cr24Ti12Ce3 alloy after full hydrogenation was determined to be 37.85% using X-ray diffraction(XRD). The powder bed, composed of alloy powder with an average size of 3.35 mm in diameter, displays a large volume expansion ratio of 131% at the first hydrogen absorption cycle and 40–45% in the following four cycles. The stable compact bed, made of alloy powders, organic silicone gel, and graphite flakes, shows significantly smaller volume expansion ratio, which is 97% at the first cycle and 21% at the second cycle, and stabilizes at 13% in the following cycles. Also, the compact bed shows similar hydrogen absorption capacity, but faster absorption kinetics compared to the powder bed.
Bioactive Agrocomposite for Tissue Engineering and Bone Regeneration
Authors: Suffo Miguel , Pérez-Muñoz Celia , Goma-Jiménez Daniel , Revenga Carlos , Andrés-Cano Pablo , Cauqui-López Miguel Ángel
Published: December 2024

Background: This study describes a novel biomaterial consisting of a mixture of biphasic bioceramic obtained from waste generated by the sugar industry (Carbocal) and a medical-grade epoxy resin adhesive called LOCTITE® M31 CLTM. The objective was to demonstrate the possibility of coating non-bioactive and non-biodegradable metallic surfaces on implantable elements. Methods: After preparation, the mixture was applied to the surfaces of hip prostheses composed of two distinct materials: polyetherimide and grade 5 titanium. In both cases, adhesion tests produced favourable results. Additionally, cell cultures were conducted using human foetal osteoblastic cell lines (hFOB 1.19). Results: It was observed that the mixture did not affect the proliferation of bone cells. Conclusions: This composite material was found to promote the growth of bone cells, suggesting its potential for fostering bone tissue development.
Full-Scale Assessment of the “5GT System” for Tracking and Monitoring of Multimodal Dry Containers
Authors: Falcitelli Mariano , Noto Sandro , Pagano Paolo , Gharbaoui Molka , Isca Agostino , Fresi Francesco , Mancina Antonio , Toffetti Massimo , Amatruda Antonio , Bendoni Nicola , Sarandrea Emanuele , Scalambro Paolo
Published: December 2024

A novel tracking and monitoring system for ISO 668 dry containers was realized by the ESA-funded “5G SENSOR@SEA” project, integrating 5G cellular technologies for massive Internet of Things with a GEO satellite-optimized backhauling link. The scope is the development of monitoring and tracking new services for multimodal container shipping. With the cooperation of four industrial partners and a telecommunication research center, the so-called “5GT System” was designed, developed, tested and validated up to field trials. Several modules of the system were designed, built and finally installed on the ship and in the teleport: the container tracking devices placed on the containers, the NB-IoT cellular network with optimized satellite backhauling, the Ku-band satellite terminals and the maritime service platform based on the OneM2M standard. The field trial conducted during the intercontinental liner voyage of a container ship showed primary technical achievements, including fair switching between terrestrial and satellite networks, reduction in packet loss in the open sea scenario and seamless integration of the BLE mesh network over the container tracking devices as NB-IoT/BLE LE Mesh gateways.
Percutaneous Embolization of No Ligated Vertical Veins After Total Anomalous Pulmonary Vein Return Operation and Risk Factors for Its Persistence
Authors: Krasic Stasa , Popovic Sofija , Topic Vesna , Stajevic Mila , Dizdarevic Ivan , Popovic Sasa , Nesic Dejan , Vukomanovic Vladislav
Published: December 2024

Background: The vertical vein (VV) ligation during the total anomalous pulmonary venous return (TAPVR) correction is still controversial. Our study aimed to define the potential risk factors for VV persistence and their percutaneous occlusion. Methods: The retrospective cohort study included 40 patients (26 males) with TAPVR treated at the tertiary referral center from 2005 to 2024. Results: The average days of age at diagnosis was two (IQR 1–8). Complex congenital heart disease with TAPVR was diagnosed in eight patients. A supracardiac type of TAPVR was found in 47% of them. The patients underwent the operation on their eighth day of life (IQR 5–57). The follow-up period was 32 months (IQR 8–99). The early postoperative mortality rate was 17.5%, significantly frequent in the patients’ group with combined CHD (p = 0.002). Four were reoperated on—three due to a postoperative obstruction between the pulmonary venous confluence and the left atrium (LA), while in one patient, a redirection of the VCI was performed. Four patients, aged 12.3 on average (IQR 8.9–14.7), underwent vertical vein embolization. All patients achieved complete occlusion with AVP2. The LA diameter Z score was lower than −4, an increased risk for VV persistence of almost 19 times (OR 18.6, 95% CI 1.6–216.0). Conclusions: We found that an LA diameter Z score of lower than −4 was a major risk factor for VV persistence. Percutaneous VV embolization is a safe and effective procedure in adolescents.
Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease: A Retrospective Study
Authors: Butler Liam , Ivanov Alexander , Celik Turgay , Karabayir Ibrahim , Chinthala Lokesh , Tootooni Mohammad S. , Jaeger Byron C. , Patterson Luke T. , Doerr Adam J. , McManus David D. , Davis Robert L. , Herrington David , Akbilgic Oguz
Published: December 2024

Background: Fatal coronary heart disease (FCHD) affects ~650,000 people yearly in the US. Electrocardiographic artificial intelligence (ECG-AI) models can predict adverse coronary events, yet their application to FCHD is understudied. Objectives: The study aimed to develop ECG-AI models predicting FCHD risk from ECGs. Methods (Retrospective): Data from 10 s 12-lead ECGs and demographic/clinical data from University of Tennessee Health Science Center (UTHSC) were used for model development. Of this dataset, 80% was used for training and 20% as holdout. Data from Atrium Health Wake Forest Baptist (AHWFB) were used for external validation. We developed two separate convolutional neural network models using 12-lead and Lead I ECGs as inputs, and time-dependent Cox proportional hazard models using demographic/clinical data with ECG-AI outputs. Correlation of the predictions from the 12- and 1-lead ECG-AI models was assessed. Results: The UTHSC cohort included data from 50,132 patients with a mean age (SD) of 62.50 (14.80) years, of whom 53.4% were males and 48.5% African American. The AHWFB cohort included data from 2305 patients with a mean age (SD) of 63.04 (16.89) years, of whom 51.0% were males and 18.8% African American. The 12-lead and Lead I ECG-AI models resulted in validation AUCs of 0.84 and 0.85, respectively. The best overall model was the Cox model using simple demographics with Lead I ECG-AI output (D1-ECG-AI-Cox), with the following results: AUC = 0.87 (0.85–0.89), accuracy = 83%, sensitivity = 69%, specificity = 89%, negative predicted value (NPV) = 92% and positive predicted value (PPV) = 55% on the AHWFB validation cohort. For this, the 2-year FCHD risk prediction accuracy was AUC = 0.91 (0.90–0.92). The 12-lead versus Lead I ECG FCHD risk prediction showed strong correlation (R = 0.74). Conclusions: The 2-year FCHD risk can be predicted with high accuracy from single-lead ECGs, further improving when combined with demographic information.
Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities
Authors: Iacobescu Paul , Marina Virginia , Anghel Catalin , Anghele Aurelian-Dumitrache
Published: December 2024

Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data. This study evaluates seven binary classification algorithms, including Random Forests, Logistic Regression, Naive Bayes, K-Nearest Neighbors (kNN), Support Vector Machines, Gradient Boosting, and Artificial Neural Networks, to understand their effectiveness in predicting CVD. Advanced preprocessing techniques, such as SMOTE–ENN for addressing class imbalance and hyperparameter optimization through Grid Search Cross-Validation, were applied to enhance the reliability and performance of these models. Standard evaluation metrics, including accuracy, precision, recall, F1-score, and Area Under the Receiver Operating Characteristic Curve (ROC-AUC), were used to assess predictive capabilities. The results show that kNN achieved the highest accuracy (99%) and AUC (0.99), surpassing traditional models like Logistic Regression and Gradient Boosting. The study examines the challenges encountered when working with datasets related to cardiovascular diseases, such as class imbalance and feature selection. It demonstrates how addressing these issues enhances the reliability and applicability of predictive models. These findings emphasize the potential of kNN as a reliable tool for early CVD prediction, offering significant improvements over previous studies. This research highlights the value of advanced machine learning techniques in healthcare, addressing key challenges and laying a foundation for future studies aimed at improving predictive models for CVD prevention.
What Is the Efficacy of Bilateral Antegrade Cerebral Perfusion in Cerebral Protection?
Authors: Iner Hasan , Peker Ihsan , Karaagac Erturk , Yazman Serkan , Durmaz Huseyin , Kandemir Cagri , Tellioglu Tahsin Murat , Gokalp Orhan , Yilik Levent , Gurbuz Ali
Published: December 2024

Background/Objectives: Acute type A aortic dissection is among the many types of catastrophic cardiovascular emergencies. The development of serious morbidity, especially neurological complications after the operation, remains a huge threat. We aimed to present comparatively the results of using unilateral or bilateral antegrade cerebral perfusion to minimize these threats and to demonstrate the postoperative effects of antegrade cerebral perfusion choices. Methods: The 147 patients who underwent emergency acute type A aortic dissection surgery between January 2018 and January 2023 were evaluated retrospectively. The patients were divided into two groups: those who underwent unilateral antegrade cerebral perfusion (Group 1) (n = 89) and those who underwent bilateral antegrade cerebral perfusion (Group 2) (n = 59). Baseline demographics, and preoperative, operative, and postoperative data of patients were compared statistically. Results: When the analyses of baseline demographics, and preoperative and operative data were evaluated, no significant difference was found between the groups. In addition, when comparing postoperative results, no statistical difference was found between the groups except for new-onset permanent neurological complications. The rate of postoperative new-onset permanent neurological complications was found to be 17.9% in group 1, where unilateral antegrade cerebral perfusion was applied, and 5.1% in group 2, where bilateral antegrade cerebral perfusion was applied, and this comparison was statistically significant. Conclusions: The competence of the Willis Polygon should not be relied upon without any evidence, and we believe that bilateral antegrade cerebral perfusion can be performed with a technique that does not compromise surgical comfort.
Long-Term Outcome of Treating Periprosthetic Hip Joint Infection with Local Antibiotics Delivered Through Antibiotic-Impregnated Calcium Hydroxyapatite
Authors: Wakabayashi Hiroki , Hasegawa Masahiro , Naito Yohei , Tone Shine , Sudo Akihiro
Published: December 2024

Background/Objectives: This study explores the long-term clinical outcomes of antibiotic-impregnated calcium hydroxyapatite (CHA) as an antibiotic delivery system in treating periprosthetic joint infection (PJI) following total hip arthroplasty (THA). Methods: We conducted a retrospective analysis of 12 patients (13 hips) who were treated with antibiotic-impregnated CHA for PJI after THA and followed for more than 10 years at our institution between 1999 and 2011. The study group comprised six men (seven hips) and six women, with a mean age of 61.4 years. Results: The mean follow-up duration was 13.8 years. After irrigation and debridement with modular component exchange, seven hips in six patients underwent revision surgery; however, PJI relapsed in two hips of two patients with a history of diabetes. Two-stage revision surgery was performed on the two relapsed hips and six scheduled hips with antibiotic-impregnated CHA used to treat all cases of PJI. Infection control (100% rate) was achieved in all joints, and revision surgeries were completed. Two patients died 12 years after the initial procedure, and one died 14 years after the first procedure due to unrelated internal diseases; no infection recurrence was observed. No complications related to antibiotic-impregnated CHA were observed. Conclusions: Our results indicate that antibiotic-impregnated CHA is associated with high success rates in treating PJI after THA, even in cases with advanced disease, and yields satisfactory functional outcomes postoperatively.
The Burden of ABO-Incompatible Kidney Transplantation: Readmission Rates and Complications, a Twenty-Year Analysis
Authors: Berchtold Caroline , Huebel Kerstin , Roessler Fabian , Graf Nicole , Dutkowski Philipp , Lehmann Kuno , Mueller Thomas , de Rougemont Olivier
Published: December 2024

Background/Objectives: ABO-incompatible live-donor kidney transplantation (ABOi-LDKT) has become an established treatment for end-stage renal disease. Non-inferiority in the long-term graft function compared to ABO-compatible live-donor kidney transplantations (ABOc-LDKTs) has been shown. However, the assumed burden due to complications owing to increased immunosuppression inherent to ABOi-LDKTs has not yet been quantified. The aim of this study was to determine if ABOi-LDKT recipients suffer from additional morbidity and whether the resulting burden is justified. Methods: We retrospectively analyzed 45 matched pairs of ABOi-LDKTs and ABOc-LDKTs transplanted over a twenty-year period from January 2000 to March 2020. The number and duration of postoperative readmissions, surgical complication rates according to Clavien–Dindo and its comprehensive complication index (CCI), kidney function, occurrence of new-onset diabetes, and infections as well as tumor incidence were analyzed. Results: Patient and graft survival, as well as graft function, were comparable between the two groups. There were no significant differences in terms of complications, readmission rates, and length of readmission, as well as infection and rejection rates. The median CCIs for ABOi-LDKTs and ABOc-LDKTs at primary discharge and 3, 6, 12, and >12 months were 20.9 vs. 20.9 (p = 0.363), 31.4 vs. 33.7 (p = 0.438), 33.7 vs. 33.7 (p = 0.875), 20.9 vs. 33.1 (p = 0.25), and 27.1 vs. 31.9 (p = 0.163), respectively. Conclusions: ABOi-LDKT seems safe, with comparable outcome, complication, and readmission rates to ABOc-LDKT. In recipients with ABOi living donors, transplantation should not be delayed solely due to concerns over increased perioperative risks.
Exploring the Role of Large Language Models in Melanoma: A Systematic Review
Authors: Zarfati Mor , Nadkarni Girish N. , Glicksberg Benjamin S. , Harats Moti , Greenberger Shoshana , Klang Eyal , Soffer Shelly
Published: December 2024

Objective: This systematic review evaluates the current applications, advantages, and challenges of large language models (LLMs) in melanoma care. Methods: A systematic search was conducted in PubMed and Scopus databases for studies published up to 23 July 2024, focusing on the application of LLMs in melanoma. The review adhered to PRISMA guidelines, and the risk of bias was assessed using the modified QUADAS-2 tool. Results: Nine studies were included, categorized into subgroups: patient education, diagnosis, and clinical management. In patient education, LLMs demonstrated high accuracy, though readability often exceeded recommended levels. For diagnosis, multimodal LLMs like GPT-4V showed capabilities in distinguishing melanoma from benign lesions, but accuracy varied, influenced by factors such as image quality and integration of clinical context. Regarding management advice, ChatGPT provided more reliable recommendations compared to other LLMs, but all models lacked depth for individualized decision-making. Conclusions: LLMs, particularly multimodal models, show potential in improving melanoma care. However, current applications require further refinement and validation. Future studies should explore fine-tuning these models on large, diverse dermatological databases and incorporate expert knowledge to address limitations such as generalizability across different populations and skin types.
A Comparative Study of Temperature Variations in Incisor Root Surfaces During Root Canal Preparation Using Various Rotary Systems and Irrigation Protocols
Authors: Paven Mihai , Marinescu Adrian-George , Abuabboud Osama , Cirligeriu Laura-Elena , Nica Luminita Maria , Alexa Vlad Tiberiu , Rosianu Ruxandra Sava , Galuscan Atena , Oancea Roxana
Published: December 2024

Background/Objectives: This study investigates the temperature changes on the external root surface during root canal preparation using different rotary systems and assesses the impact of irrigation temperatures. Methods: Sixty extracted human maxillary incisors were divided into four groups based on the rotary system used: ProTaper Next (Dentsply Sirona, Ballaigues, Switzerland), Reciproc Blue (VDW GmbH, Munich, Germany), WaveOne Gold (Dentsply Sirona, Ballaigues, Switzerland), and TruNatomy (Dentsply Sirona, Ballaigues, Switzerland). These systems differ in cutting efficiency and design. Temperature measurements during instrumentation and irrigation were recorded using a FLIR E60bx thermal camera (Teledyne FLIR LLC, Hudson, NH, USA). Irrigations were conducted with sodium hypochlorite at room temperature and heated to 60 °C. Results: The ProTaper Next group exhibited the highest average temperature increase during instrumentation (5.2 °C), followed by WaveOne Gold (4.3 °C), Reciproc Blue (3.7 °C), and TruNatomy (2.8 °C). During irrigation with heated sodium hypochlorite, temperature rises recorded were 6.8 °C for ProTaper Next, 5.9 °C for WaveOne Gold, 5.2 °C for Reciproc Blue, and 4.1 °C for TruNatomy. Statistical analysis revealed a significant negative correlation between dentin thickness and temperature rise, with r-values ranging from −0.62 to −0.87 across the groups. No significant correlation was found between canal diameter and temperature change, indicating that the canal’s size does not influence the thermal impact as much as the properties of the rotary system and irrigation temperature. Conclusions: Different rotary systems produce varying levels of temperature increases on the external root surface, influenced significantly by the thickness of the dentin and the temperature of the irrigation solution. These variations necessitate careful selection of instrumentation and irrigation protocols to minimize potential thermal damage to surrounding periodontal tissues.
Comprehensive Predictions of Mef2-Mediated Chromatin Loops, Which May Inhibit Ubx Binding by Blocking Low-Affinity Binding Sites
Authors: Domsch Katrin
Published: December 2024

Gene regulation depends on the interaction between chromatin-associated factors, such as transcription factors (TFs), which promote chromatin loops to ensure tight contact between enhancer and promoter regions. So far, positive interactions that lead to gene activation have been the main focus of research, but regulations related to blocking or inhibiting factor binding are also essential to maintaining a defined cellular status. To understand these interactions in greater detail, I investigated the possibility of the muscle differentiation factor Mef2 to prevent early Hox factor binding, leading to the proper timing of regulatory processes and the activation of differentiation events. My investigations relied on a collection of publicly available genome-wide binding data sets of Mef2 and Ubx (as the Hox factor), Capture-C interactions, and ATAC-seq analysis in Mef2 mutant cells. The analysis indicated that Mef2 can form possible chromatin loops to Ubx-bound regions. These regions contain low-affinity Ubx binding sites, and the chromatin architecture is independent of Mef2’s function. High levels of Ubx may disrupt the loops and allow specific Ubx bindings to regulate defined targets. In summary, my investigations highlight that the use of many publicly available data sets enables computational approaches to make robust predictions and, for the first time, suggest a molecular function of Mef2 as a preventer of Hox binding, indicating that it may act as a timer for muscle differentiation.
Evaluation of the Effect of Chitosan-Based Irrigation Solutions on the Bond Strength of Mineral Trioxide Aggregate to Bulk-Fill Composite
Authors: Şahin Mantı Arzu , Helvacıoğlu Kıvanç Bağdagül
Published: December 2024

(1) Background: Bond strength between repair and restorative materials is crucial for endodontic success. This study assessed the effects of the following final irrigation solutions on the bond strength of mineral trioxide aggregate (MTA) to a bulk-fill composite: (1) 17% Ethylenediamine tetraacetic acid (EDTA); (2) 2% Chlorhexidine (CHX); (3) 0.2% chitosan; (4) 0.2% chitosan with 2% CHX; 5) 0.2% chitosan with AgNPs. (2) Methods: Sixty MTA samples were divided into six groups (n = 10) based on the final irrigation solution: 1. EDTA, 2. CHX, 3. Chitosan, 4. Chitosan-CHX, 5. Chitosan-AgNP, and 6. distilled water (control). After a 5-min solution exposure, each sample was restored with the bulk-fill composite, and the shear bond strength (SBS) was measured. Structural changes in MTA were analyzed using SEM and EDS, and failure modes were classified as adhesive, cohesive, or mixed. Data were analyzed by one-way ANOVA with Tamhane’s T2 and Tukey’s tests (α = 0.05). (3) Results: EDTA exhibited the lowest SBS (p < 0.001), while Chitosan-CHX showed the highest. SEM showed a spongy, void-rich surface in EDTA-treated MTA, with significant Ca depletion per EDS. Chitosan-CHX showed no structural change. Cohesive fractures within MTA were predominant. (4) Conclusions: EDTA significantly reduces SBS, while chitosan with CHX enhances bond strength.
Real-Time Emotion Recognition for Improving the Teaching–Learning Process: A Scoping Review
Authors: Llurba Cèlia , Palau Ramon
Published: December 2024

Emotion recognition (ER) is gaining popularity in various fields, including education. The benefits of ER in the classroom for educational purposes, such as improving students’ academic performance, are gradually becoming known. Thus, real-time ER is proving to be a valuable tool for teachers as well as for students. However, its feasibility in educational settings requires further exploration. This review offers learning experiences based on real-time ER with students to explore their potential in learning and in improving their academic achievement. The purpose is to present evidence of good implementation and suggestions for their successful application. The content analysis finds that most of the practices lead to significant improvements in terms of educational purposes. Nevertheless, the analysis identifies problems that might block the implementation of these practices in the classroom and in education; among the obstacles identified are the absence of privacy of the students and the support needs of the students. We conclude that artificial intelligence (AI) and ER are potential tools to approach the needs in ordinary classrooms, although reliable automatic recognition is still a challenge for researchers to achieve the best ER feature in real time, given the high input data variability.
Sustainable Synthesis of Diamond-like Carbon and Giant Carbon Allotropes from Hyperbaric Methanol–Water Mixtures Through the Critical Point
Authors: Alabdulkarim Mohamad , Thapliyal Vibhor , Maxwell James
Published: December 2024

Freeform carbon fibres were 3D-printed from CH3OH:H2O mixtures using hyperbaric-pressure laser chemical vapour deposition (HP-LCVD). The experiment overlapped a region of known diamond growth, with the objective of depositing diamond-like carbon without the use of plasmas or hot filaments. A high-pressure regime was investigated for the first time through the precursor’s critical point. Seventy-two C-fibres were grown from 13 different CH3OH:H2O mixtures at total pressures between 7.8 and 180 bar. Maximum steady-state axial growth rates of 14 µm/s were observed. Growth near the critical point was suppressed, ostensibly due to thermal diffusion and selective etching. In addition to nanostructured graphite, various carbon allotropes were synthesised at/within the outer surface of the fibres, including diamond-like carbon, graphite polyhedral crystal, and tubular graphite cones. Several allotropes were oversized compared to structures previously reported. Raman spectral pressure–temperature (P-T) maps and a pictorial P-T phase diagram were compiled over a broad range of process conditions. Trends in the Raman ID/IG and I2D/IG intensity ratios were observed and regions of optimal growth for specific allotropes were identified. It is intended that this work provide a basis for others in optimising the growth of specific carbon allotropes from methanol using HP-LCVD and similar CVD processes.
Edge Computing Architecture for the Management of Underwater Cultural Heritage
Authors: Herrera-Santos Jorge , Plaza-Hernández Marta , López-Florez Sebastián , Djapic Vladimir , Prieto Tejedor Javier , Corchado-Rodríguez Emilio Santiago
Published: December 2024

Underwater cultural heritage (UCH) is a valuable resource that preserves humanity’s historical legacy, offering insights into traditions and civilisations. Despite its significance, UCH faces threats from inadequate regulatory frameworks, insufficient conservation technologies, and climate-induced environmental changes. This paper proposes an innovative platform combining the internet of underwater things and edge computing technologies to enhance UCH’s real-time monitoring, localisation, and management. The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. Integrating acoustic communication systems, LoRa technology, and nonterrestrial networks supports a robust multilayered communication infrastructure for continuous operation, even in remote maritime areas. The platform’s edge node deploys artificial intelligence models for real-time risk assessment, focusing on key environmental parameters to predict and mitigate corrosion rates and climate-related threats. A case study illustrates the system’s capabilities in underwater localisation, demonstrating how edge computing and acoustic triangulation techniques enable precise tracking.
A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments
Authors: Han Young-Suk , Jung Jae-Yoon
Published: December 2024

In this study, an improved stable multi-object simple online and real-time tracking (StableSORT) algorithm that was specifically designed for maritime environments was proposed to address challenges such as camera instability and irregular object motion. Specifically, StableSORT integrates a buffered IoU (B-IoU) and an observation-adaptive Kalman filter (OAKF) into the StrongSORT framework to improve tracking accuracy and robustness. A dataset was collected along the southern coast of Korea using a small autonomous surface vehicle to capture real-world maritime conditions. On this dataset, StableSORT achieved a 2.7% improvement in HOTA, 4.9% in AssA, and 2.6% in IDF1 compared to StrongSORT, and it significantly outperformed ByteTrack and OC-SORT by 84% and 69% in HOTA, respectively. These results underscore StableSORT’s ability to maintain identity consistency and enhance tracking performance under challenging maritime conditions. The ablation studies further validated the contributions of the B-IoU and OAKF modules in maintaining identity consistency and tracking accuracy under challenging maritime conditions.
Acoustic Propagation and Transmission Loss Analysis in Shallow Water of Northern Arabian Sea
Authors: Shaikh Shahabuddin , Huang Yiwang , Alharbi Ayman , Bilal Muhammad , Shaikh Abdul Sami , Zuberi Habib Hussain , Dars Muhammad Ayoob
Published: December 2024

This study investigates acoustic propagation and transmission loss in shallow water at an unexplored site in the northern Arabian Sea near the Pakistan coastline using a normal mode theoretical framework. Sound propagation in shallow water with range-independent bathymetry was analyzed using a customized Kraken C program to compute eigenvalues and eigenfunctions. The sound speed profile and clay silt sediment samples of the northern Arabian Sea, which characterize the water column and ocean bottom, respectively, were determined. Coherent and incoherent transmission losses for frequencies ranging from 50 to 500 Hz were calculated across different ranges and depths. Results indicate significant intensity fluctuations with increasing range, leading to higher transmission loss. Low frequencies (50–225 Hz) exhibit more significant transmission loss, while higher frequencies (230–500 Hz) show reduced loss. Transmission loss is higher for receivers at 19 m depth compared to those at shallower depths (8 m and 12 m) because the receivers are positioned near the layer of bottom sediments. Factors such as source and receiver depth, sediment properties, bottom roughness, and sound frequency significantly influence transmission loss. The novel dataset for the region supports the assessment of sonar performance, underwater communication, navigation, and marine life exploration.
Numerical Simulation of Wave-Induced Scour in Front of Vertical and Inclined Breakwaters
Authors: Liu Xin , Nakamura Tomoaki , Cho Yong-Hwan , Mizutani Norimi
Published: December 2024

The erosion of the seabed in front of shoreline structures due to wave action is a critical concern. While previous models accurately depict fluid and sediment interactions, they each have limitations and require significant computational resources, especially when simulating complex processes. This study proposed and validated a numerical model for simulating wave-induced sediment transport by integrating three key components: (1) a main solver based on large eddy simulation that includes the porosity of permeable materials, (2) a volume of fluid module to track the air–water surface, and (3) a sediment transport module that includes both bedload and suspended load to compute sediment concentrations and seabed changes. The model was validated against previously published experimental data, demonstrating its accuracy in capturing both wave motion and seabed profile changes induced by sediment transport. Furthermore, the numerical model was applied to study the effects of varying breakwater slopes on sediment seabed profile changes. The results show that steeper breaker slopes led to more concentrated wave energy near the structure, resulting in deeper scouring and higher sediment displacement. These results indicate that the proposed model is a valuable tool for coastal engineering applications, particularly for designing breakwaters, to mitigate sediment erosion and improve sediment stability.
The Prediction and Dynamic Correction of Drifting Trajectory for Unmanned Maritime Equipment Based on Fully Connected Neural Network (FCNN) Embedding Model
Authors: Song Yuxuan , Wang Dezhi , Xiong Xiaodan , Cheng Xinghua , Huang Lingzhi , Zhang Yichao
Published: December 2024

At present, unmanned maritime equipment has become the main force in the implementation of marine exploration tasks. However, due to the complexity of the marine environment, equipment is susceptible to damage and loss. This is why achieving more effective search and rescue (SAR) of unmanned maritime equipment plays an extremely important role. The drifting trajectory and range predicted by the traditional methods are normally no longer corrected dynamically, which results in a low SAR efficiency. In this work, we propose a trajectory prediction and dynamic correction method based on a fully connected neural network (FCNN). It can dynamically correct the original predicted trajectory using the SAR target’s feedback of its own position information. This method can significantly improve the accuracy of SAR drifting trajectory and region prediction. In addition, the introduction of the dynamic correction model can also improve the adaptive capability and efficiency of the model. During the actual sea experiments, the average deviation distance between predicted and actual trajectories was reduced from 5.75 km to 4.11 × 10−1 km by the proposed method.
Diversity of Colletotrichum Species Causing Anthracnose in Chayote in Brazil, with a Description of Two New Species in the C. magnum Complex
Authors: Vieira Willie Anderson dos Santos , Costa Christiane Almeida da , Veloso Josiene Silva , Lima Waléria Guerreiro , Correia Kamila Câmara , Michereff Sami Jorge , Pinho Danilo Batista , Câmara Marcos Paz Saraiva , Reis Ailton
Published: December 2024

Anthracnose caused by Colletotrichum species is the most important disease of chayote (Sicyos edulis) in Brazil. The etiology of chayote anthracnose has been assigned to the species C. orbiculare, an important plant pathogenic fungus also reported as the causal agent of anthracnose in other cucurbits worldwide. However, there is no recent survey of the Colletotrichum species causing anthracnose in chayote in Brazil. In this study, Colletotrichum isolates associated with anthracnose on the fruit and leaves of chayote, from various producing regions in Brazil, were collected and identified. Haplotype analysis based on sequences of the β-tubulin genomic region (TUB2) of 44 Colletotrichum isolates was carried out as a first measure of genetic diversity. A subset of 22 isolates were sequenced using the partial sequences of actin (ACT), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and the rDNA ITS (ITS) region. Maximum likelihood analysis was performed using the concatenated sequences. The multilocus sequence analysis revealed four previously described species, Colletotrichum chrysophilum, C. menezesiae, C. plurivorum, and C. karsti, and two novel species, named C. cucurbitacearum and C. sicyi. All species were able to induce typical symptoms of anthracnose in chayote fruits but varied in their aggressiveness. The species C. menezesiae and C. sicyi were the most aggressive, while C. plurivorum was the least aggressive. The species C. orbiculare was not found to cause chayote anthracnose in Brazil.