bluuebunny/crossref_metadata_2025 huggingface dataset:
Molecular and Clinical Features of Pancreatic Acinar Cell Carcinoma: A Single-Institution Case Series
Authors: Balachandran Pillai Ashwathy , Yousef Mahmoud , Yousef Abdelrahman , Alfaro-Munoz Kristin D. , Smaglo Brandon G. , Willis Jason , Wolff Robert A. , Pant Shubham , Hurd Mark W. , Maitra Anirban , Wang Huamin , Katz Matthew Harold G. , Prakash Laura R. , Tzeng Ching-Wei D. , Snyder Rebecca , Castelnovo Luca F. , Chen Anthony , Kravets Andrey , Kudriavtseva Kseniia , Tarasov Artem , Kryukov Kirill , Ying Haoqiang , Shen John Paul , Zhao Dan
Published: October 2024

Objectives: Acinar cell carcinoma (ACC) accounts for about 1% of pancreatic cancers. The molecular and clinical features of ACC are less characterized than those of pancreatic ductal adenocarcinoma. Methods: We retrospectively evaluated the clinical and molecular features of ACC patients who underwent germline and/or somatic molecular testing at The University of Texas MD Anderson Cancer Center from 2008 to 2022 and two cases from 2023–2024 who underwent RNA and TME analysis by Boston Gene. Patient information was extracted from our institutional database with the approval of the Institutional Review Board. Results: We identified 16 patients with available molecular testing results. Fourteen patients had metastatic disease, one had borderline resectable disease, and one had localized resectable disease at diagnosis. Fifteen patients were wild type for KRAS (one patient had unknown KRAS status). Somatic/germline mutations of DNA damage repair genes (BRCA1/2, PALB2, and ATM) were present in 5 of 12 patients tested for these genes. One patient was found to have RET fusion and responded favorably to selpercatinib for over 42 months. The median overall survival (OS) was 24 months for patients with metastatic disease. One of the additional two cases who underwent BostonGene testing was found to have NTRK1 fusion. RNA and TME analysis by Boston Gene of the two cases reported immune desert features and relatively lower RNA levels of CEACAM5, CD47, CD74, and MMP1 and higher RNA levels of CDH6 compared with PDAC.
Microwave-Assisted Synthesis of Symmetrical 1,4-Disubstituted Bis-1H-1,2,3-triazoles Using Copper N-Heterocyclic Carbene Catalysts
Authors: Mitchell Loren Taylor , Barnett Erin , Hexom Max , Ruiz Alexander , Schoffstall Allen
Published: October 2024

Bis-triazoles separated by a symmetrical linking group are joined at C4 of each triazole or at N1 of each triazole. Preparation of a series of bis-1H-1,2,3-triazoles derived from o-bis(azidomethyl)benzene and an alkyne is reported with use of copper N-heterocyclic carbene catalysis with microwave-assisted heating in an aqueous solvent. The products were symmetrical N1–N1′-bis-1H-1,2,3-triazoles. Additional syntheses utilized dialkynes and organic azides to prepare symmetrical C4–C4′-bis-1H-1,2,3-triazoles. Pure products were often obtained directly when water was used as the solvent with microwave-assisted heating. Results are given for experiments using conventional heating or no heating. Sonication results are given for a reaction where microwave-assisted heating was unsatisfactory.
Employing Multi-Omics Analyses to Understand Changes during Kidney Development in Perinatal Interleukin-6 Animal Model
Authors: Panzade Ganesh , Srivastava Tarak , Heruth Daniel P. , Rezaiekhaligh Mohammad H. , Zhou Jianping , Lyu Zhen , Sharma Mukut , Joshi Trupti
Published: October 2024

Chronic kidney disease (CKD) is a leading cause of morbidity and mortality globally. Maternal obesity during pregnancy is linked to systemic inflammation and elevated levels of the pro-inflammatory cytokine interleukin-6 (IL-6). In our previous work, we demonstrated that increased maternal IL-6 during gestation impacts intrauterine development in mice. We hypothesized that IL-6-induced inflammation alters gene expression in the developing fetus. To test this, pregnant mice were administered IL-6 or saline during mid-gestation. Newborn mouse kidneys were analyzed using mRNA-seq, miRNA-seq and whole-genome bisulfite-seq (WGBS). A multi-omics approach was employed to quantify mRNA gene expression, miRNA expression and DNA methylation, using advanced bioinformatics and data integration techniques. Our analysis identified 19 key genes present in multiple omics datasets, regulated by epigenetics and miRNAs. We constructed a regulatory network for these genes, revealing disruptions in pathways such as Mannose type O-glycan biosynthesis, the cell cycle, apoptosis and FoxO signaling. Notably, the Atp7b gene was regulated by DNA methylation and miR-223 targeting, whereas the Man2a1 gene was controlled by DNA methylation affecting energy metabolism. These findings suggest that these genes may play a role in fetal programming, potentially leading to CKD later in life due to gestational inflammation.
A Review of the Application of Hyperspectral Imaging Technology in Agricultural Crop Economics
Authors: Wu Jinxing , Zhang Yi , Hu Pengfei , Wu Yanying
Published: October 2024

China is a large agricultural country, and the crop economy holds an important place in the national economy. The identification of crop diseases and pests, as well as the non-destructive classification of crops, has always been a challenge in agricultural development, hindering the rapid growth of the agricultural economy. Hyperspectral imaging technology combines imaging and spectral techniques, using hyperspectral cameras to acquire raw image data of crops. After correcting and preprocessing the raw image data to obtain the required spectral features, it becomes possible to achieve the rapid non-destructive detection of crop diseases and pests, as well as the non-destructive classification and identification of agricultural products. This paper first provides an overview of the current applications of hyperspectral imaging technology in crops both domestically and internationally. It then summarizes the methods of hyperspectral data acquisition and application scenarios. Subsequently, it organizes the processing of hyperspectral data for crop disease and pest detection and classification, deriving relevant preprocessing and analysis methods for hyperspectral data. Finally, it conducts a detailed analysis of classic cases using hyperspectral imaging technology for detecting crop diseases and pests and non-destructive classification, while also analyzing and summarizing the future development trends of hyperspectral imaging technology in agricultural production. The non-destructive rapid detection and classification technology of hyperspectral imaging can effectively select qualified crops and classify crops of different qualities, ensuring the quality of agricultural products. In conclusion, hyperspectral imaging technology can effectively serve the agricultural economy, making agricultural production more intelligent and holding significant importance for the development of agriculture in China.
Optimal Design of Multilevel Composite Lubrication Structures on Sliding Guide Rail Surfaces
Authors: Bao Hong , Hao Mengjie , Du Yuchen , Chen Yuzhe
Published: October 2024

To optimize the crawling phenomenon of slides under circumstances of low speed and a heavy load, a composite lubrication structure is adopted to alleviate the crawling phenomenon. The response surface optimal-design method establishes a quadratic mathematical model for multistage composite lubrication structure parameters, including crawling time and average friction coefficient. The optimal combination parameters of multistage composite lubrication structures have been determined. The optimal ratio of lubricating oil to molybdenum disulfide (MoS2) has been identified, and a composite lubrication structure has been proposed to enhance the crawling phenomenon and friction performance of sliding guide rails under medium-speed and medium-load conditions. These research outcomes indicate that when low speed and a heavy load are present, the crawling time and friction coefficient initially diminish and subsequently augment as the width, spacing, and cycle length of the sinusoidal texture and the diameter of the hexagonal pit expand. The optimum configuration of multistage composite lubrication structures is as follows: The width of the sine-wave texture b amounts to 0.15 mm, the cycle length e is 2 mm, the spacing c is 1.5 mm, and the diameter of the hexagonal pit d is 0.2 mm. When the mass ratio of guide oil to MoS2 is 2:1, it exhibits supreme crawling resistance and antifriction attributes. In circumstances involving a medium load and speed, multistage composite lubrication structures manifest pre-eminent friction performance. These data can steer the design of multistage composite lubrication structures on the surface of slide rails.
Experimental Analysis of Cavitation Erosion: Parameter Sensitivity and Testing Protocols
Authors: Mohammadizadeh SeyedMehdi , Dalfré Filho José Gilberto , Sampaio Descovi Cassiano , Genovez Ana Inés Borri , Teixeira Buttignol Thomaz Eduardo
Published: October 2024

The scientific goal of this study was to investigate the effects of various parameters on cavitation-induced erosion, with the aim to enhance the understanding and assessment of cavitation resistance in hydraulic systems. Cavitation erosion poses significant challenges to the durability and efficiency of hydraulic components, such as those found in hydropower plants and pumping stations. Prompted by the need to improve the reliability of cavitation testing and material assessment, this research conducted a comprehensive sensitivity analysis of a cavitation jet apparatus (CJA). This study employed an experimental platform that consisted of a vertical cylindrical test tank, a submerged nozzle, and an aluminum sample. By examining a range of orifice diameters, this research identified that smaller diameters led to increased erosion intensity, with the most pronounced effects observed at a diameter of 2 mm. Furthermore, various standoff distances (SoDs) were tested, which revealed that shorter distances resulted in greater erosion, with the highest impact noted at an SoD of 5 cm. This study also evaluated different nozzle geometries, where it was found that a 132° conical sharped edges nozzle, combined with an orifice diameter of 2 mm and an SoD of 5 cm, produced the most severe erosion. Conversely, chamfered edges nozzles and a commercial nozzle (MEG2510) with an SoD of 10 cm or greater showed reduced erosion. These results highlight that by standardizing the testing duration to 1200 s, the CJA could reliably assess the cavitation resistance of materials. This study established a clear relationship between increased pressure and higher impact forces, which led to more severe erosion. The findings underscore the effectiveness of the CJA in evaluating material resistance under various cavitation conditions, thus addressing a critical need for reliable cavitation testing tools.
Impact of a New Preoperative Stratification Based on Cardiac Structural Compromise in Patients with Severe Aortic Stenosis Undergoing Valve Replacement Surgery
Authors: Espinoza Romero Cristhian , Rosa Vitor Emer Egypto , Octavio Kormann Sérgio , Nicolalde Bryan , de Santis Andrade Lopes Antonio Sérgio , Sobreira Spina Guilherme , Cordeiro Fernandes João Ricardo , Tarasoutchi Flavio , Sampaio Roney Orismar
Published: October 2024

Introduction and objectives: Aortic valve replacement surgery (SAVR) remains a recommended indication, though its pre-surgical stratification is an ongoing challenge. Despite the widespread use of scores like the STS and EuroSCORE II, they have a number of limitations, while often neglecting structural parameters like left ventricular hypertrophy or left atrium volume. This study aimed to evaluate whether a new adaptation of the Généreux classification in the preoperative risk stratification of severe aortic stenosis (AS) is associated with the primary outcome, and to compare it with the original classification versus the traditional scores in short- and long-term follow-up. Methods: We conducted a retrospective, single-center study involving patients with confirmed severe AS who underwent SAVR. The new stratification categorized patients into three stages. Cox regression analyses were conducted to identify factors associated with mortality, with survival analysis performed using Kaplan–Meier curves. A p-value < 0.05 was considered statistically significant. Results: A total of 508 patients were included. Stage 3 patients had a lower median age (67 years). The median EuroSCORE II and STS scores were 2.75 and 2.62%, respectively (p ≤ 0.001). Over a median follow-up of 81 months, 56 deaths occurred (11%). Kaplan–Meier curve analysis revealed significant differences in all-cause mortality among the three groups (HR 4.073, log-rank p ≤ 0.001). Multivariable analysis identified the three preoperative stages (HR 3.22, [95% CI 1.44–7.20], p = 0.004) and mean transaortic gradient (HR 0.96, [95% CI 0.92–0.99], p = 0.021) as independent variables of mortality. The original Généreux scale AUC was higher (AUC: 0.760, 95% CI: 0.692–0.829) compared to the modified Généreux scale (AUC: 0.758, 95% CI: 0.687–0.829). However, no statistical differences were found between the different scales. Conclusions: Preoperative three-stage classification and low transaortic gradient are factors associated with increased all-cause mortality in patients undergoing SAVR. The proposed staging system performed better in the mortality analysis than EuroSCORE II and STS and was similar to the original classification.
Emerging Role of Natriuretic Peptides in Diabetes Care: A Brief Review of Pertinent Recent Literature
Authors: Tiwari Dipti , Aw Tar Choon
Published: October 2024

Diabetes markedly increases susceptibility to adverse cardiovascular events, including heart failure (HF), leading to heightened morbidity and mortality rates. Elevated levels of natriuretic peptides (NPs), notably B-type natriuretic peptide (BNP) and N-terminal-proBNP (NT-proBNP), correlate with cardiac structural and functional abnormalities, aiding in risk stratification and treatment strategies in individuals with diabetes. This article reviews the intricate relationship between diabetes and HF, emphasizing the role of NPs in risk assessment and guiding therapeutic strategies, particularly in individuals with type 2 diabetes mellitus (T2DM). We also explore the analytical and clinical considerations in the use of natriuretic peptide testing and the challenges and prospects of natriuretic-peptide-guided therapy in managing cardiovascular risk in patients with diabetes. We conclude with some reflections on future prospects for NPs.
Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process
Authors: Li Jing , Wang Yixiao , Liang Weisheng , Xiong Chao , Cai Wenbo , Li Lijun , Liu Yi
Published: October 2024

In order to meet the current expanding market demand for knitwear, high-speed automatic knitting machines with “one-line knit to shape” capability are widely used. However, the frequent emergence of floating-yarn stacking anomalies during the high-speed knitting process will seriously hinder the normal reciprocating motion of the needles and cause a catastrophic fracture of the whole machine needle plate, greatly affecting the efficiency of the knitting machines. To overcome the limitations of the existing physical-probe detection method, in this work, we propose a visual floating-yarn anomaly recognition framework based on a CNN-BiLSTM network with the knit feature sequence (CNN-BiLSTM-KFS), which is a unique sequence of knitting yarn positions depending on the knitting status. The sequence of knitting characteristics contains the head speed, the number of rows, and the head movements of the automatic knitting machine, enabling the model to achieve more accurate and efficient floating-yarn identification in complex knitting structures by utilizing contextual information from knitting programs. Compared to the traditional probe inspection method, the framework is highly versatile as it does not need to be adjusted to the specifics of the automatic knitting machine during the production process. The recognition model is trained at the design and sampling stages, and the resulting model can be applied to different automatic knitting machines to recognize floating yarns occurring in various knitting structures. The experimental results show that the improved network spends 75% less time than the probe-based detection, has a higher overall average detection accuracy of 93% compared to the original network, and responds faster to floating yarn anomalies. The as-proposed CNN-BiLSTM-KFS floating-yarn visual detection method not only enhances the reliability of floating-yarn anomaly detection, but also reduces the time and cost required for production adjustments. The results of this study will bring significant improvements in the field of automatic floating-yarn detection and have the potential to promote the application of smart technologies in the knitting industry.
HCTC: Hybrid Convolutional Transformer Classifier for Automatic Modulation Recognition
Authors: Ruikar Jayesh Deorao , Park Do-Hyun , Kwon Soon-Young , Kim Hyoung-Nam
Published: October 2024

Automatic modulation recognition (AMR) methods used in advanced wireless communications systems can identify unknown signals without requiring reference information. However, the acceptance of these methods depends on the accuracy, number of parameters, and computational complexity. This study proposes a hybrid convolutional transformer classifier (HCTC) for the classification of unknown signals. The proposed method utilizes a three-stage framework to extract features from in-phase/quadrature (I/Q) signals. In the first stage, spatial features are extracted using a convolutional layer. In the second stage, temporal features are extracted using a transformer encoder. In the final stage, the features are mapped using a deep-learning network. The proposed HCTC method is investigated using the benchmark RadioML database and compared with state-of-the-art methods. The experimental results demonstrate that the proposed method achieves a better performance in modulation signal classification. Additionally, the performance of the proposed method is evaluated when applied to different batch sizes and model configurations. Finally, open issues in modulation recognition research are addressed, and future research perspectives are discussed.
Sustainable Management and Governance of Non-Wood Forest Products: Unlocking Their Potential
Authors: Baskent Emin Zeki , Borges José Guilherme , Pettenella Davide M. , Wei Yu
Published: October 2024

Forests are unique ecosystems that offer a vast array of ecosystem services, including non-wood forest products (NWFPs)—also known as wild forest products—that contribute to the wellbeing of societies worldwide [...]
Effects of Root Pruning and Size on Growth Traits of Hybrid Poplar Seedlings
Authors: Chang Xiaochao , Zhang Jin , Wan Fangfang , Xian Lihong , Liu Yong
Published: October 2024

Selecting seedlings of varying sizes and effectively managing root pruning are key challenges in transplantation. However, the effects of seedling size and root pruning on transplantation outcomes are not fully understood. This study classified one-year-old Populus ‘Beilinxiongzhu-01’ seedlings into three size categories based on height: large (308.75 ± 9.66 cm), medium (238.00 ± 7.71 cm), and small (138.92 ± 7.18 cm). In early March of the subsequent year, root pruning was applied with varying intensities based on root collar diameter: low (15 times), medium (7.5 times), and high (3.75 times). A control group without pruning was also included. Over the year, key phenological and morphological traits were monitored. The results showed that (1) root pruning significantly impacted the phenology of seedlings, accelerating root emergence, delaying early leaf phenology, increasing the dieback rate, and postponing end-of-season defoliation. Mortality and the rapid growth phase were not significantly affected. Larger seedlings exhibited earlier end-of-season defoliation and higher dieback rates early in the growing season, while smaller seedlings advanced in early leaf development. (2) Except under low or no pruning, root pruning reduced seedling height (H), diameter at breast height (DBH), and root collar diameter (RCD). However, across all treatments, these indicators remained higher in larger seedlings compared to smaller ones. Under medium- and high-intensity pruning, smaller seedlings exhibited higher relative growth rates and larger leaf areas than larger seedlings, with the reduction in these variables becoming more pronounced as seedlings increased in size. Notably, only larger seedlings demonstrated a reduction in maximum growth rate, suggesting greater vulnerability to root pruning. In summary, root pruning induced significant phenological and morphological differences across seedling sizes. While smaller seedlings showed some response to pruning, larger seedlings experienced more pronounced phenological disruptions and growth inhibition.
A Comparative Analysis of Denim Fabric Performances from Cotton/Polyester Blended Rigid and Stretched Yarns
Authors: Shahid Md Abul , Okyay Neslihan , Babaarslan Osman
Published: October 2024

Cotton and polyester fiber blends are commonly used to improve the aesthetic features of finished items. The denim industry’s growing need for polyester fiber aids in analyzing the performance of denim fabrics woven from rigid and stretched weft yarn combined with cotton and polyester. This study evaluates the weight, dimensional changes, stiffness, tensile and tearing strength, stretch, and comfort properties of denim fabric woven from cotton and polyester in various blended ratios. Here, Ne 14/1 (42 tex) 100% cotton warp yarn and Ne 18/1 (33 tex) weft yarns, consisting of 100% cotton, 75/25, 50/50, and 25/75 cotton/polyester (CO/PES) blends, as well as 100% polyester, were used to produce 3/1 Z twill denim fabric. The weft yarns were categorized into three groups: rigid, core-spun, and dual-core-spun yarns. Experimental results showed a higher polyester content in weft yarn, and denim fabrics’ tensile and tearing strength was improved, whereas fabrics’ weight loss, dimensional changes, and stretch properties were reduced. Furthermore, different statistical analyses were conducted to evaluate the type of weft yarn and blending ratio interaction and correlation with fabric properties. Additionally, a regression model was developed with the weft yarn type and blending ratio as independent variables to predict the fabric properties.
Finite Element Analysis and Computational Fluid Dynamics for the Flow Control of a Non-Return Multi-Door Reflux Valve
Authors: Hadebe Xolani Prince , Tchomeni Kouejou Bernard Xavier , Alugongo Alfayo Anyika , Sozinando Desejo Filipeson
Published: October 2024

This paper presents a comprehensive analysis of a multi-door check valve using computational fluid dynamics (CFD) and finite element analysis (FEA) to evaluate flow performance under pressure test conditions, with an emphasis on its ability to prevent backflow. Check valves are essential components in various industries, ensuring fluid flow in one direction only while preventing reverse flow. The non-return multi-door reflux valve is increasingly preferred due to its superior backflow prevention, fluid control, and effective flow regulation. Rigorous testing under varying pressure conditions is essential to ensure that these valves perform optimally. This study uses CFD and FEA simulations to evaluate the structural integrity and flow characteristics of the valve, including pressure drop, flow velocity, backflow prevention effectiveness, and flow coefficient. A high-fidelity 3D model was created to simulate the valve’s behavior under various conditions, analyzing the effects of parameters such as the number of doors, their orientation, geometry, and operating conditions. The CFD results demonstrated a significant reduction in backflow and pressure drop across the valve. However, localized turbulence and flow separation near the valve doors, particularly under partially open conditions, have raised concerns about potential wear. The velocity profiles indicated a uniform distribution at full opening with laminar velocity profiles and minimal resistance to flow. The results of the FEA showed that the stresses induced by the fluid forces were below critical levels, with the highest stress concentrations observed around the hinge points of the valve doors. Although the valve structure remained intact under normal operating conditions, some areas may have required reinforcement to ensure long-term durability. Combined CFD and FEA analyses demonstrated that the valve effectively preserves system integrity, prevents backflow, and maintains consistent performance under various pressure and flow conditions. These findings provide valuable insights into design improvements, performance optimization, and enhancing the efficiency and reliability of reflux valve systems in industrial applications.
Production of Bioactive Peptides from Tartary Buckwheat by Solid-State Fermentation with Lactiplantibacillus plantarum ATCC 14917
Authors: Wang Panpan , Ma Tingjun
Published: October 2024

Buckwheat is a valuable crop that contains various nutrients and functional components. Tartary buckwheat peptide is a protease-hydrolyzed protein with a wide range of physiological functions. Tartary buckwheat peptide produced through microbial fermentation can decrease the enzymatic digestion of buckwheat protein, which contributes to the bitter taste, and improve both the flavor and texture of buckwheat peptide products. In this study, microbial fermentation using probiotics was employed to prepare Tartary buckwheat peptides, and the preparation process was optimized. Based on single-factor experiments, the polypeptide content in the fermentation solution initially increased and then decreased with varying water content, inoculum concentration, glucose addition, fermentation temperature, fermentation time, and potassium dihydrogen phosphate addition. According to the response surface methodology, the maximum peptide content was achieved under fermentation conditions of 60.0% moisture content, 12.87% inoculum ratio, 2.0% glucose, and a fermentation temperature of 30.0 °C, with an actual value of (22.18 ± 1.02) mg/mL. The results show that fermentation with Lactiplantibacillus plantarum produces higher peptide levels and is safer than other microbial fermentation methods.
Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador
Authors: Hernández-Allauca Andrea Damaris , Pérez Castillo Carlos Gabriel , Villacis Uvidia Juan Federico , Abdo-Peralta Paula , Frey Catherine , Ati-Cutiupala Guicela Margoth , Ureña-Moreno Juan , Toulkeridis Theofilos
Published: October 2024

The relationship between COVID-19 infections and environmental contaminants provides insight into how environmental factors can influence the spread of infectious diseases. By integrating epidemiological and environmental variables into a mathematical framework, the interaction between virus spread and the environment can be determined. The aim of this study was to evaluate the impact of atmospheric contaminants on the increase in COVID-19 infections in the city of Quito through the application of statistical tests. The data on infections and deaths allowed to identify the periods of greatest contagion and their relationship with the contaminants O3, SO2, CO, PM2.5, and PM10. A validated database was used, and statistical analysis was applied through five models based on simple linear regression. The models showed a significant relationship between SO2 and the increase in infections. In addition, a moderate correlation was shown with PM2.5, O3, and CO, and a low relationship was shown for PM10. These findings highlight the importance of having policies that guarantee air quality as a key factor in maintaining people’s health and preventing the proliferation of viral and infectious diseases.
The Versatile Roles of nc886, a Fascinating and Peculiar Regulatory Non-Coding RNA, in Cancer
Authors: Jang Jiyoung Joan , Kang Dongmin , Lee Yeon-Su , Lee Yong Sun
Published: October 2024

This review concerns nc886, a 101-nucleotide non-coding RNA (ncRNA). Because nc886 is transcribed by RNA polymerase III (Pol III) and contains a CpG island in its promoter region, its expression is regulated by several transcription factors and the DNA methylation status. These features drive nc886 expression in two opposing directions during tumorigenesis. The known function of nc886 is to bind to and modulate the activity of target proteins such as PKR, Dicer, and OAS1. By being differentially expressed during tumorigenesis and interacting with these proteins, nc886 plays a role in tumor surveillance, promotes or suppresses tumorigenesis, and influences the efficacy of cancer therapy. The multiple roles of nc886 have been well-documented in the literature. In this review, we have summarized this literature and critically discussed the roles and mechanisms of action of nc886 in various cancers.
Exploiting Translation Machinery for Cancer Therapy: Translation Factors as Promising Targets
Authors: Sehrawat Urmila
Published: October 2024

Eukaryotic protein translation has slowly gained the scientific community’s attention for its advanced and powerful therapeutic potential. However, recent technical developments in studying ribosomes and global translation have revolutionized our understanding of this complex multistep process. These developments have improved and deepened the current knowledge of mRNA translation, sparking excitement and new possibilities in this field. Translation factors are crucial for maintaining protein synthesis homeostasis. Since actively proliferating cancer cells depend on protein synthesis, dysregulated protein translation is central to tumorigenesis. Translation factors and their abnormal expressions directly affect multiple oncogenes and tumor suppressors. Recently, small molecules have been used to target translation factors, resulting in translation inhibition in a gene-specific manner, opening the door for developing translation inhibitors that can lead to novel chemotherapeutic drugs for treating multiple cancer types caused by dysregulated translation machinery. This review comprehensively summarizes the involvement of translation factors in tumor progression and oncogenesis. Also, it sheds light on the evolution of translation factors as novel drug targets for developing future therapeutic drugs for treating cancer.
B-Cell Maturation Antigen (BCMA) as a Biomarker and Potential Treatment Target in Systemic Lupus Erythematosus
Authors: Martin Jonas , Cheng Qingyu , Laurent Sarah A. , Thaler Franziska S. , Beenken Anne Elisabeth , Meinl Edgar , Krönke Gerhard , Hiepe Falk , Alexander Tobias
Published: October 2024

The BAFF-APRIL system is crucial for the pathogenesis of systemic lupus erythematosus (SLE) by promoting B cell survival, differentiation and the maintenance of humoral autoimmunity. Here, we investigated the relationship of BCMA expression on B cell subsets with its ligands BAFF and APRIL, together with soluble BCMA, and with clinical and serologic variables in a cohort of 100 SLE patients (86 under conventional and 14 under belimumab therapy) and 30 healthy controls (HCs) using multicolor flow cytometry and ELISA. We found that BCMA expression in SLE patients was significantly increased on all B cell subsets compared to HCs, with all examined components of the BAFF-APRIL system being upregulated. BCMA expression was significantly increased on switched and unswitched memory B cells compared to naïve B cells, both in HCs and SLE. BCMA expression on B cells correlated with plasmablast frequencies, serum anti-dsDNA antibodies and complement consumption, while soluble BCMA correlated with plasmablast frequency, highlighting its potential as a clinical biomarker. Belimumab treatment significantly reduced BCMA expression on most B cell subsets and soluble TACI and contributed to the inhibition of almost the entire BAFF-APRIL system and restoration of B cell homeostasis. These results provide insights into the complex dysregulation of the BAFF-APRIL system in SLE and highlight the therapeutic potential of targeting its components, particularly BCMA, in addition to its use as a biomarker for disease activity.
Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites
Authors: Bin Feng , Hosseini Shahab , Chen Jie , Samui Pijush , Fattahi Hadi , Jahed Armaghani Danial
Published: October 2024

This paper explores advanced machine learning approaches to enhance the prediction accuracy of compressive strength (CoS) in geopolymer composites (GePC). Geopolymers, as sustainable alternatives to Ordinary Portland Cement (OPC), offer significant environmental benefits by utilizing industrial by-products such as fly ash and ground granulated blast furnace slag (GGBS). The accurate prediction of their compressive strength is crucial for optimizing their mix design and reducing experimental efforts. We present a comparative analysis of two hybrid models, Harris Hawks Optimization with Random Forest (HHO-RF) and Sine Cosine Algorithm with Random Forest (SCA-RF), against traditional regression methods and classical models like the Extreme Learning Machine (ELM), General Regression Neural Network (GRNN), and Radial Basis Function (RBF). Using a comprehensive dataset derived from various scientific publications, we focus on key input variables including the fine aggregate, GGBS, fly ash, sodium hydroxide (NaOH) molarity, and others. Our results indicate that the SCA-RF model achieved a superior performance with a root mean square error (RMSE) of 1.562 and a coefficient of determination (R2) of 0.987, compared to the HHO-RF model, which obtained an RMSE of 1.742 and an R2 of 0.982. Both hybrid models significantly outperformed traditional methods, demonstrating their higher accuracy and reliability in predicting the compressive strength of GePC. This research underscores the potential of hybrid machine learning models in advancing sustainable construction materials through precise predictive modeling, paving the way for more environmentally friendly and efficient construction practices.
Correction: Balleza Alejandri et al. Empagliflozin and Dapagliflozin Improve Endothelial Function in Mexican Patients with Type 2 Diabetes Mellitus: A Double-Blind Clinical Trial. J. Cardiovasc. Dev. Dis. 2024, 11, 182
Authors: Balleza Alejandri Luis Ricardo , Grover Páez Fernando , González Campos Erick , Ramos Becerra Carlos G. , Cardona Muñóz Ernesto Germán , Pascoe González Sara , Ramos Zavala María Guadalupe , Reynoso Roa Africa Samantha , Suárez Rico Daniel Osmar , Beltrán Ramírez Alberto , García Galindo Jesús Jonathan , Cardona Müller David , Galán Ruíz Claudia Yanette
Published: October 2024

In the original publication [...]
Advances in Acute Coronary Syndromes: Bridging Gaps in Diagnosis and Treatment
Authors: Andò Giuseppe , Micari Antonio , Costa Francesco
Published: October 2024

Acute coronary syndromes (ACS) have long posed a formidable challenge to cardiovascular care, despite significant advancements in both understanding and treatment over the last few decades [...]
Tumor Resection in Hepatic Carcinomas Restores Circulating T Regulatory Cells
Authors: Martín-Sierra Carmen , Martins Ricardo , Coucelo Margarida , Abrantes Ana Margarida , Caetano Oliveira Rui , Tralhão José Guilherme , Botelho Maria Filomena , Furtado Emanuel , Domingues Maria Rosário , Paiva Artur , Laranjeira Paula
Published: October 2024

Background/Objectives: Cholangiocarcinoma (CCA) and hepatocellular carcinoma (HCC) represent major primary liver cancers, affecting one of the most vital organs in the human body. T regulatory (Treg) cells play an important role in liver cancers through the immunosuppression of antitumor immune responses. The current study focuses on the characterization of circulating natural killer (NK) cells and T cell subsets, including Treg cells, in CCA and HCC patients, before and after surgical tumor resection, in order to understand the effect of tumor resection on the homeostasis of peripheral blood NK cells and T cells. Methods: Whole blood assays were performed to monitor immune alterations and the functional competence of circulating lymphocytes in a group of ten healthy individuals, eight CCA patients, and twenty HCC patients, before and one month after the surgical procedure, using flow cytometry, cell sorting, and qRT-PCR. Results: Before tumor resection, both HCC and CCA patients display increased percentages of CD8+ Treg cells and decreased frequencies of circulating CD4+ Treg cells. Notwithstanding, no functional impairment was detected on circulating CD4+ Treg cells, neither in CCA nor in HCC patients. Interestingly, the frequency of peripheral CD4+ Treg cells increased from 0.55% ± 0.49 and 0.71% ± 0.54 (in CCA and HCC, respectively) at T0 to 0.99% ± 0.91 and 1.17% ± 0.33 (in CCA and HCC, respectively) at T1, following tumor resection. Conclusions: Our results suggest mechanisms of immune modulation induced by tumor resection.
Acute Ischemic Stroke during Extracorporeal Membrane Oxygenation (ECMO): A Narrative Review of the Literature
Authors: Themas Konstantinos , Zisis Marios , Kourek Christos , Konstantinou Giorgos , D’Anna Lucio , Papanagiotou Panagiotis , Ntaios George , Dimopoulos Stavros , Korompoki Eleni
Published: October 2024

Ischemic stroke (IS) is a severe complication and leading cause of mortality in patients under extracorporeal membrane oxygenation (ECMO). The aim of our narrative review is to summarize the existing evidence and provide a deep examination of the diagnosis and treatment of acute ischemic stroke patients undergoing ECMO support. The incidence rate of ISs is estimated to be between 1 and 8%, while the mortality rate ranges from 44 to 76%, depending on several factors, including ECMO type, duration of support and patient characteristics. Several mechanisms leading to ISs during ECMO have been identified, with thromboembolic events and cerebral hypoperfusion being the most common causes. However, considering that most of the ECMO patients are severely ill or under sedation, stroke symptoms are often underdiagnosed. Multimodal monitoring and daily clinical assessment could be useful preventive techniques. Early recognition of neurological deficits is of paramount importance for prompt therapeutic interventions. All ECMO patients with suspected strokes should immediately receive brain computed tomography (CT) and CT angiography (CTA) for the identification of large vessel occlusion (LVO) and assessment of collateral blood flow. CT perfusion (CTP) can further assist in the detection of viable tissue (penumbra), especially in cases of strokes of unknown onset. Catheter angiography is required to confirm LVO detected on CTA. Intravenous thrombolytic therapy is usually contraindicated in ECMO as most patients are on active anticoagulation treatment. Therefore, mechanical thrombectomy is the preferred treatment option in cases where there is evidence of LVO. The choice of the arterial vascular access used to perform mechanical thrombectomy should be discussed between interventional radiologists and an ECMO team. Anticoagulation management during the acute phase of IS should be individualized after the thromboembolic risk has been carefully balanced against hemorrhagic risk. A multidisciplinary approach is essential for the optimal management of ISs in patients treated with ECMO.
The Effects of Having a Child with Cancer on Parental Psychology: A Cross-Sectional Study
Authors: Koc Begum Sirin , Tekkesin Funda , Aydin Aysenur Kanat , Balik Zehragul , Yildirim Ulku Miray , Aydogdu Selime , Kilic Suar Caki
Published: October 2024

Objective: In childhood cancers, parents are affected psychologically as well as children. We aimed to evaluate the effect of childhood cancer type and stage, as well as elapsed time from diagnosis, on the anxiety and stress indicators among parents. Materials and Methods: Patients aged between 0–18 years and diagnosed with cancer who were receiving chemotherapy (0–1 month, 1–6 month, 6–12 month) and completed treatment were included. Parents of those children (mother or father) who agreed to participate this study were also included. The personal information form and three psychological assessment scales (Beck Hopelessness Scale (PSS), Psychological Resilience Scale (PRS), Uncertainty Intolerance Scale (IUS)) were used for assessment of mental health of the parents. Scores of the scales and clinical features of the children with cancer were compared statistically. Results: The study included 84 parents (57 mothers, 27 fathers) and 84 children. The rate of children with solid tumors was 60% (n:50) and 40% of them were metastatic, which means advanced stage. The rate of the children with leukemia was 40% (n:34) and 23% of them were in high-risk group. According to the type (leukemia vs. solid tumors) and stage (high risk/advanced stage vs. others) of the cancer, there was no statistical difference among parents in the psychological scales (p > 0.05). Additionally, results of the psychological scales showed no significant difference between mothers and fathers (p > 0.05). The hopelessness scores are significantly higher among parents whose child’s treatment is terminated compared with those whose active therapy is ongoing, and resilience scores are higher among parents who have less than 1 month since diagnosis of childhood cancer than later periods. Conclusions: The regular assessment of mental health among parents of children with cancer across all the survivorship trajectory: at the time of diagnosis, during active therapy, and after treatment.
A Nationwide Analysis in France on Sex Difference and Outcomes Following Carotid Intervention in Asymptomatic Patients
Authors: Lareyre Fabien , Raffort Juliette , Tulamo Riikka , de Borst Gert J. , Behrendt Christian-Alexander , Pradier Christian , Fabre Roxane , Bailly Laurent
Published: October 2024

Objective: The impact of sex on outcomes following carotid endarterectomy (CEA) and carotid artery stenting (CAS) is not fully elucidated. The aim of this study was to analyze the association between sex and outcomes of asymptomatic patients who underwent primary carotid interventions in France. Methods: This nationwide retrospective study was performed using the French National Health Insurance Information System and included asymptomatic patients who underwent primary carotid intervention over a 10-year period (1 January 2013 to 31 August 2023). Symptomatic patients and patients who had peri-operative neurologic events were excluded. The primary endpoints were the occurrence of death and stroke/transient ischaemic attack (TIA) at 30 days, 1 and 5 years after patients’ discharge. Results: In total, 115,879 patients were admitted for an index CEA (29.4% women) and 6500 for CAS (29.8% women). In the CEA group, no significant sex-related difference was observed for 30-day mortality; however, women had significantly lower 1-year and 5-year mortality rates compared to men (1.9% vs. 2.6%, p < 0.001 and 7.9% vs. 11.1%, p < 0.001). In the CAS group, women had lower 30-day, 1-year and 5-year mortality (0.6% vs. 1.0%, p = 0.040, 3.8% vs. 4.9%, p = 0.048, and 10.4% vs. 15.0%, p < 0.001). A multivariate analysis showed that sex was not associated with the risk of stroke/TIA and mortality at 30 days (OR 0.84 (95% CI 0.67–1.04) and 1.27 (95% CI 0.98–1.64)). Male sex was associated with a higher risk of 1-year and 5-year mortality (OR 1.24 (95% CI 1.13–1.36) and 1.25 (95% CI 1.18–1.31)), but a lower risk of stroke/TIA than female sex. Conclusions: No significant sex-related difference was observed at 30 days in patients being discharged alive and without peri-operative neurologic events. Male sex was associated with a higher risk of mortality but a lower risk of stroke/TIA at 1 and 5 years.
Left Atrial Structural and Functional Changes in Adults with Congenital Septal Defects and Paroxysmal Atrial Fibrillation
Authors: Minaev Anton V. , Mironenko Marina Yu. , Dontsova Vera I. , Pirushkina Yulia D. , Berdibekov Bektur Sh. , Voynov Alexander S. , Sarkisyan Julia A. , Golukhova Elena Z.
Published: October 2024

Aims. To identify the difference between adult patients with septal defects and paroxysmal atrial fibrillation (AF) and patients without a history of arrhythmia using the left atrial (LA) volume and function parameters, to reveal the parameters associated with AF development. Methods and results. In this prospective study, 81 patients with septal defects and left-to-right shunts were enrolled between 2021 and 2023 and divided into two groups: with paroxysmal AF and without AF. Left atrial function was analyzed based on the indexed left atrial volumes (LAVI and preA-LAVI), ejection fraction (LAEF), expansion index (LAEI), reservoir (LAS-r), conduit (LAS-cd) and contractile (LAS-ct) strain, and stiffness index (LASI) using a Philips CVx3D ultrasound system (Philips, Amsterdam, The Netherlands) and corresponding software. In total, 26 patients with paroxysmal atrial fibrillation (mean age: 59.6 ± 11.7 years, female: 80.8%) and 55 patients with septal defects without any history of arrhythmias (mean age: 44.8 ± 11.6 years, female: 81.8%) were included. All patients were in the NYHA class I or II at baseline. Our findings demonstrated a significant difference between all LA function parameters in the two groups. Upon univariable analysis, the LAVI, preA-LAVI, LASI, LAEF, LAEI, LAS-r, LAS-c, LAS-ct, age, cardiac index, E/A, and RV pressure were found to be associated with AF. The multivariate analysis identified LAVI (OR 1.236, 95% CI 1.022–1.494, p = 0.03), LAS-r (OR 0.723, 95% CI 0.556–0.940, p = 0.02), and LAS-ct (OR 1.518, 95% CI 1.225–1.880, p < 0.001) as independent predictors of AF development. The proposed model demonstrated high sensitivity and specificity with an adjusted classification threshold of 0.38 (AUC: 0.97, 95% CI 0.93–1.00, sensitivity 92% and specificity 92%, p < 0.001). Conclusions. The assessment of LA function using speckle-tracking echocardiography demonstrated significantly different values in the AF group among patients with congenital septal defects. This technique can therefore be implemented in routine clinical management. The key message. Atrial fibrillation development in adult patients with congenital septal defects and a left-to-right shunt is associated with the changes in left atrial function under conditions of an increased preload.
Development of a Hierarchical Clustering Method for Anomaly Identification and Labelling of Marine Machinery Data
Authors: Velasco-Gallego Christian , Lazakis Iraklis , Cubo-Mateo Nieves
Published: October 2024

The application of artificial intelligence models for the fault diagnosis of marine machinery increased expeditiously within the shipping industry. This relates to the effectiveness of artificial intelligence in capturing fault patterns in marine systems that are becoming more complex and where the application of traditional methods is becoming unfeasible. However, despite these advances, the lack of fault labelling data is still a major concern due to confidentiality issues, and lack of appropriate data, for instance. In this study, a method based on histogram similarity and hierarchical clustering is proposed as an attempt to label the distinct anomalies and faults that occur in the dataset so that supervised learning can then be implemented. To validate the proposed methodology, a case study on a main engine of a tanker vessel is considered. The results indicate that the method can be a preliminary option to classify and label distinct types of faults and anomalies that may appear in the dataset, as the model achieved an accuracy of approximately 95% for the case study presented.