bluuebunny/crossref_metadata_2025 huggingface dataset:
NF-κB in Thyroid Cancer: An Update
Authors: Crescenzi Elvira , Leonardi Antonio , Pacifico Francesco
Published: October 2024

The dysregulated NF-κB basal activity is a common feature of human thyroid carcinomas, especially in poorly differentiated or undifferentiated forms that, even if rare, are often resistant to standard therapies, and, therefore, are uncurable. Despite the molecular mechanisms leading to NF-κB activation in thyroid cancer being only partially understood, during the last few years, it has become clear that NF-κB contributes in different ways to the oncogenic potential of thyroid neoplastic cells. Indeed, it enhances their proliferation and viability, promotes their migration to and colonization of distant organs, and fuels their microenvironment. In addition, NF-κB signaling plays an important role in cancer stem cells from more aggressive thyroid carcinomas. Interfering with the different upstream and/or downstream pathways that drive NF-κB activity in thyroid neoplastic cells is an attractive strategy for the development of novel therapeutic drugs capable of overcoming the therapy resistance of advanced thyroid carcinomas. This review focuses on the recent findings about the key functions of NF-κB in thyroid cancer and discusses the potential implications of targeting NF-κB in advanced thyroid carcinomas.
Multifunctional Nanocomposite Hydrogel with Enhanced Chemodynamic Therapy and Starvation Therapy for Inhibiting Postoperative Tumor Recurrence
Authors: Li Zeliang , Ma Xiaoxuan
Published: October 2024

Surgical resection is the primary treatment for melanoma; however, preventing tumor recurrence after resection remains a significant clinical challenge. To address this, we developed a multifunctional nanocomposite hydrogel (H-CPG) composed of glucose oxidase (GOx)-coated CuS@PDA@GOx (CPG) nanoparticles, aminated hyaluronic acid (HA-ADH), and oxidized rhizomatous polysaccharides (OBSP), which are interconnected through hydrogen bonds and dynamic Schiff base linkages. In the acidic tumor micro-environment, the hydrogel releases GOx, catalyzing the production of hydrogen peroxide (H2O2), which enhances chemokinetic activity through a Cu2+-mediated Fenton-like reaction. This process generates hydroxyl radicals that intensify oxidative stress and promote macrophage polarization from the M2 to M1 phenotype. This polarization triggers the release of pro-inflammatory cytokines, thereby inhibiting tumor recurrence. Additionally, the hydrogel induces photothermal effects that help eradicate residual bacteria at the wound site. Overall, the H-CPG hydrogel offers a dual mechanism to prevent melanoma recurrence and reduce resistance to monotherapy, presenting a promising strategy for postoperative tumor management.
Editing eIF4E in the Watermelon Genome Using CRISPR/Cas9 Technology Confers Resistance to ZYMV
Authors: Li Maoying , Qiu Yanhong , Zhu Dongyang , Xu Xiulan , Tian Shouwei , Wang Jinfang , Yu Yongtao , Ren Yi , Gong Guoyi , Zhang Haiying , Xu Yong , Zhang Jie
Published: October 2024

Watermelon is one of the most important cucurbit crops, but its production is seriously affected by viral infections. Although eIF4E proteins have emerged as the major mediators of the resistance to viral infections, the mechanism underlying the contributions of eIF4E to watermelon disease resistance remains unclear. In this study, three CleIF4E genes and one CleIF(iso)4E gene were identified in the watermelon genome. Among these genes, CleIF4E1 was most similar to other known eIF4E genes. To investigate the role of CleIF4E1, CRISPR/Cas9 technology was used to knock out CleIF4E1 in watermelon. One selected mutant line had an 86 bp deletion that resulted in a frame-shift and the expression of a truncated protein. The homozygous mutant exhibits developmental defects in plant growth, leaf morphology and reduced yield. Furthermore, the mutant was protected against the zucchini yellow mosaic virus, but not the cucumber green mottled mosaic virus. In summary, this study preliminarily clarified the functions of eIF4E proteins in watermelon. The generated data will be useful for elucidating eIF4E-related disease resistance mechanisms in watermelon. The tissue-specific editing of CleIF4E1 in future studies may help to prevent adverse changes to watermelon fertility.
NIK Is a Mediator of Inflammation and Intimal Hyperplasia in Endothelial Denudation-Induced Vascular Injury
Authors: Baeza Ciro , Ribagorda Marta , Maya-Lopez Carla , Fresno Manuel , Sanchez-Diaz Tania , Pintor-Chocano Aranzazu , Sanz Ana B. , Carrasco Susana , Ortiz Alberto , Sanchez-Niño Maria Dolores
Published: October 2024

Neointimal hyperplasia is the main cause of vascular graft failure in the medium term. NFκB is a key mediator of inflammation that is activated during neointimal hyperplasia following endothelial injury. However, the molecular mechanisms involved in NFκB activation are poorly understood. NFκB may be activated through canonical (transient) and non-canonical (persistent) pathways. NFκB-inducing kinase (NIK, MAP3K14) is the upstream kinase of the non-canonical pathway. We have now explored the impact of NIK deficiency on neointimal hyperplasia following guidewire-induced endothelial cell injury and on local inflammation by comparing NIK activity–deficient alymphoplasia mice (NIKaly/aly) with control wild-type (NIK+/+) mice. Guidewire-induced endothelial cell injury caused neointimal hyperplasia and luminal stenosis and upregulated the local expression of NIK and the NFκB target chemokines monocyte chemoattractant protein-1 (MCP-1/CCL2) and chemokine ligand 5 (RANTES/CCL5). Immunohistochemistry disclosed the infiltration of the media and intima by F4/80 positive macrophages. The intima/media ratio and percentage of stenosis were milder in the NIKaly/aly than in the NIK+/+ mice. Additionally, the gene expression for MCP-1 and RANTES was lower and F4/80+ cell infiltration was milder in the NIKaly/aly than in the NIK+/+ mice. Finally, circulating MCP-1 levels were lower in the NIKaly/aly than in the NIK+/+ mice, reflecting milder systemic inflammation. In conclusion, NIK is a driver of vascular wall inflammation and stenosis following guidewire-induced endothelial cell injury. NIK targeting may be a novel therapeutic approach to limit arterial stenosis following endothelial cell injury.
Time-Dependent Comparison of the Structural Variations of Natural Products and Synthetic Compounds
Authors: Liu Yi , Cai Mingzhu , Zhao Yuxin , Hu Zilong , Wu Ping , Kong De-Xin
Published: October 2024

The identification of natural products (NPs) has played a pivotal role in drug discovery and shaped the evolution of synthetic compounds (SCs). However, the extent to which NPs have historically influenced the structural characteristics of SCs remains unclear. In this study, we conducted a comprehensive, time-dependent chemoinformatic analysis to investigate the impact of NPs on the structural evolution of SCs. The physicochemical properties, molecular fragments, biological relevance, and chemical space of the molecules from the Dictionary of Natural Products were compared in a time series fashion with a synthetic compound collection sourced from 12 databases. Our findings reveal that NPs have become larger, more complex, and more hydrophobic over time, exhibiting increased structural diversity and uniqueness. Conversely, SCs exhibit a continuous shift in physicochemical properties, yet these changes are constrained within a defined range governed by drug-like constraints. SCs possess a broader range of synthetic pathways and structural diversity, albeit with a decline in biological relevance. The chemical space of NPs has become less concentrated compared to that of SCs. In conclusion, our study suggests that the structural evolution of SCs is influenced by NPs to some extent; however, SCs have not fully evolved in the direction of NPs.
Li–Fraumeni Syndrome: Narrative Review Through a Case Report with Ten Years of Primary Tumor Remission Associated with Sechium H387 07 Supplementation
Authors: Amador-Gómez Angel Iván , Aguiñiga-Sánchez Itzen , Mendoza-Núñez Víctor Manuel , Cadena-Iñiguez Jorge , Romero-López Ernesto , Santiago-Osorio Edelmiro
Published: October 2024

There are hereditary mutations that predispose individuals to cancer development, such as pathogenic variants in the germ line of the tumor protein 53 (TP53) suppressor gene. This leads to a rare condition known as Li–Fraumeni syndrome (LFS), characterized by a high risk of developing multiple cancers throughout life by the precancerous niche that promotes the tumor microenvironment. LFS presents a significant challenge due to its limited therapeutic and chemoprophylactic options. Recently, protocols involving metformin as a prophylactic medication have been developed to target precancerous niches. However, this approach is still in the clinical phase, and no established therapeutic regimen is available. Therefore, new alternatives are needed to impact this disease effectively. Novel studies suggest that Sechium extract, rich in polyphenols, exhibits chemoprophylactic, antineoplastic, anti-inflammatory, and antioxidant activities, all involved in the tumor microenvironment of LFS. However, the specific role of Sechium extract in preventing recurrent neoplastic development in LFS remains unclear. We conducted this research through a case report of an LFS-diagnosed patient who has experienced multiple malignancies and cutaneous neoformations. This patient received a chemoprophylactic supplementation based on Sechium H387 07 extract over 11 years without reporting new primary malignancy events or recurrences, as evidenced by laboratory and positron emission tomography/computed tomography (PET/CT) studies. An extensive literature review on the disease, precancerous niche, tumor microenvironment, and potential mechanisms of Sechium H387 07 extract components was conducted to explain cancer absence in LFS. This review promotes the research and use of polyphenols as powerful chemoprophylactic agents to prevent and treat proliferative diseases like LFS.
MAD2L2 Dimerization Is Not Essential for Mitotic Regulation
Authors: Barda Nomi , Ayiku Philippa Jennifer , Bar-on Amit , Movshovitz Sahar , Listovsky Tamar
Published: October 2024

MAD2L2 is a small HORMA domain protein that plays a crucial role in DNA repair and mitosis. In both TLS and shieldin, the dimerization of MAD2L2 via its HORMA domain is critical for the stability and function of these complexes. However, in mitosis, the dimerization state of MAD2L2 remains unknown. To assess the importance of MAD2L2’s dimerization during mitosis, we utilized CRISPR/Cas9 to generate MAD2L2 knockout cells, which were subsequently complemented with MAD2L2 species carrying different dimer-disrupting point mutations. We assessed the ability of these MAD2L2 dimer-disrupting mutants to regulate mitosis by evaluating early mitotic events and mitotic fidelity. Our findings indicate that MAD2L2 can function in its monomeric form during mitosis, suggesting that MAD2L2 homodimerization is dispensable for early mitotic regulation. Furthermore, our results suggest that the binding of CDH1 to MAD2L2 is a key regulating factor in mitosis that may actively prevent the formation of MAD2L2 dimers, thereby shifting the cellular balance toward MAD2L2-CDH1 interaction. Thus, the equilibrium between the monomeric and dimeric forms of MAD2L2 is an important cellular factor regulating the MAD2L2-containing complexes.
Efficient Schemes for Optimizing Load Balancing and Communication Cost in Edge Computing Networks
Authors: Oikonomou Efthymios , Rouskas Angelos
Published: October 2024

Edge computing architectures promise increased quality of service with low communication delays by bringing cloud services closer to the end-users, at the distributed edge servers of the network edge. Hosting server capabilities at access nodes, thereby yielding edge service nodes, offers service proximity to users and provides QoS guarantees. However, the placement of edge servers should match the level of demand for computing resources and the location of user load. Thus, it is necessary to devise schemes that select the most appropriate access nodes to host computing services and associate every remaining access node with the most proper service node to ensure optimal service delivery. In this paper, we formulate this problem as an optimization problem with a bi-objective function that aims at both communication cost minimization and load balance optimization. We propose schemes that tackle this problem and compare their performance against previously proposed heuristics that have been also adapted to target both optimization goals. We study how these algorithms behave in lattice and random grid network topologies with uniform and non-uniform workloads. The results validate the efficiency of our proposed schemes in addition to the significantly lower execution times compared to the other heuristics.
Physical, Mechanical and Durability Properties of Eco-Friendly Engineered Geopolymer Composites
Authors: Tahwia Ahmed M. , Aldulaimi Duaa S. , Abdellatief Mohamed , Youssf Osama
Published: October 2024

Engineered geopolymer composite (EGC) is a high-performance material with enhanced mechanical and durability capabilities. Ground granulated blast furnace slag (GGBFS) and silica fume (SF) are common binder materials in producing EGC. However, due to the scarcity and high cost of these materials in some countries, sustainable alternatives are needed. This research focused on producing eco-friendly EGC made of cheaper and more common pozzolanic waste materials that are rich in aluminum and silicon. Rice husk ash (RHA), granite waste powder (GWP), and volcanic pumice powder (VPP) were used as partial substitutions (10–50%) of GGBFS in EGC. The effects of these wastes on workability, unit weight, compressive strength, tensile strength, flexural strength, water absorption, and porosity of EGC were examined. The residual compressive strength of the proposed EGC mixtures at high elevated temperatures (200, 400, and 600 °C) was also evaluated. Additionally, scanning electron microscope (SEM) was employed to analyze the EGC microstructure characteristics. The experimental results demonstrated that replacing GGBFS with RHA and GWP at high replacement ratios decreased EGC workability by up to 23.1% and 30.8%, respectively, while 50% VPP improved EGC workability by up to 38.5%. EGC mixtures made with 30% RHA, 20% GWP, or 10% VPP showed the optimal results in which they exhibited the highest compressive, tensile, and flexural strengths, as well as the highest residual compressive strength when exposed to high elevated temperatures. The water absorption and porosity increased by up to 106.1% and 75.1%, respectively, when using RHA; increased by up to 23.2% and 18.6%, respectively, when using GWP; and decreased by up to 24.7% and 22.6%, respectively, when using VPP in EGC.
Analysis of Bone Phenotype Differences in MEN1-Related and Sporadic Primary Hyperparathyroidism Using 3D-DXA
Authors: Eremkina Anna K. , Pylina Svetlana V. , Elfimova Alina R. , Gorbacheva Anna M. , Humbert Ludovic , López Picazo Mirella , Hajrieva Angelina V. , Solodovnikova Ekaterina N. , Kovalevich Liliya D. , Vetchinkina Ekaterina A. , Bondarenko Ekaterina V. , Tarbaeva Natalia V. , Mokrysheva Natalia G.
Published: October 2024

Background: The rarity and variability of MEN1-related primary hyperparathyroidism (mPHPT) has led to contradictory data regarding the bone phenotype in this patient population. Methods: A single-center retrospective study was conducted among young age- and sex-matched patients with mPHPT and sporadic hyperparathyroidism (sPHPT). The main parameters of calcium–phosphorus metabolism, bone remodeling markers, and bone mineral density (BMD) measurements were obtained during the active phase of hyperparathyroidism before parathyroidectomy (PTE) and 1 year after. Trabecular Bone Score (TBS) and 3D-DXA analysis of the proximal femur were used to evaluate the differences in bone architecture disruption between groups. Results: Patients with mPHPT had significant lower preoperative BMD compared to sPHPT at lumbar spine—LS (p = 0.002); femur neck—FN (p = 0.001); and total hip—TH (p = 0.002). 3D-DXA analysis showed the prevalence of cortical rather than trabecular bone damage in mPHPT compared to sPHPT: cortical thickness (p < 0.001); cortical surface BMD (p = 0.001); cortical volumetric BMD (p = 0.007); and trabecular volumetric BMD (p = 0.029). One year after, PTE DXA and 3D-DXA parameters were similar between groups, while 3D-visualisation showed more extensive regeneration in cortical sBMD and cortical thickness in mPHPT. Conclusions: mPHPT is associated with lower preoperative BMD values with predominant architecture disruption in the cortical bone. The absence of differences in DXA and 3D-DXA parameters 1 year after PTE between mPHPT/sPHPT combined with significantly lower BMD in mPHPT at the initial stage may indicate faster bone recovery after surgery in mPHPT than in sPHPT.
High-Density and Resolution Epicardial Mapping of the Atria: Translational Research with Clinical Impact
Authors: Ye Ziliang , Jia Yifan , van Schie Mathijs S. , Knops Paul , Yildirim Vehpi , Taverne Yannick J. H. J. , de Groot Natasja M. S.
Published: October 2024

The electrical arrhythmogenic substrate underlying the most common cardiac arrhythmia atrial fibrillation (AF) may consist of conduction disorders, low-voltage areas, or fractionated potentials. High-density and resolution epicardial mapping (HDREM) approaches have been introduced to quantify and visualize electrophysiological properties of the atria. These approaches are essential for obtaining innovative insights into arrhythmogenic substrates and identifying novel targets for therapy. The aim of this review is to summarize and discuss the (1) contribution of HDREM studies to the knowledge on atrial arrhythmogenesis and (2) future applications of HDREM of atria in daily clinical practice.
The So-Called Pre-Clinical Rheumatoid Arthritis: Doubts, Challenges, and Opportunities
Authors: Sanmartí Raimon , Frade-Sosa Beatriz , Ponce Andres
Published: October 2024

A Clinical Case of Possible Pre-Rheumatoid Arthritis [...]
Immunology of Stress: A Review Article
Authors: Alotiby Amna
Published: October 2024

Stress significantly impacts the immune system, affecting susceptibility to illness and overall health. This review examines the intricate relationship between stress and the immune system, offering insights having practical implications for health and disease prevention. Stress can significantly trigger molecular and immune modulation, affecting the distribution and trafficking of immune cells in various organs and altering their composition in the blood. The review delves into two key pathways connecting stress and immunity: the hypothalamic–pituitary–adrenal (HPA) axis and the sympathetic nervous system. Stress activates the neuroendocrine system and triggers microglia in the brain, releasing stress hormones and neurotransmitters that modulate the function and movement of immune cells. Acute stress can temporarily strengthen immunity and promote protection during infection; in contrast, chronic stress dysregulates or inhibits immune functions. Chronic stress causes an increase in cortisol levels through the HPA axis, ultimately suppressing the immune response. Recognizing stress triggers and implementing effective stress management techniques can significantly impact individuals’ well-being. This review indicates that immune cells express genes differentially in response to stress, suggesting individual variabilities in the immune response against stress. This underscores the need for a personalized approach to stress management. This review also highlights the potential link between chronic stress and autoimmune disorders and warrants further investigation.
The Effects of Alloy Composition and Surface Integrity on the Machinability of Austenitic Stainless Steels 304 and 304L
Authors: Azarhoushang Bahman , Paknejad Masih , Bösinger Robert , Benner Hans Martin
Published: October 2024

Austenitic stainless steels, such as 304 and 304L, are extensively utilized in diverse industries due to their favorable properties, including biocompatibility, high durability, ductility, toughness at cryogenic temperatures, and excellent corrosion resistance. Additionally, these steels exhibit notable resistance to fatigue and oxidation. Despite these advantages, they are challenging to machine due to characteristics such as high work hardening, built-up edge formation, and low heat conductivity. The material 304L distinguishes itself from material 304 through its lower carbon content, making it more resistance to corrosion. 304L is experiencing a consistent rise in industrial demand. It is anticipated that this advanced material will progressively supersede 304 in various applications. The variability in alloy compositions and surface integrity of blanks can influence the tool wear and may even lead to abrupt tool breakage, necessitating supervision during machining operations. This study delves into the correlation between the alloy compositions, micro structure, surface integrity, and machinability of these special steels, focusing on turning processes. Various blanks of 304 and 304L in the form of bars, sourced from different manufacturers, were utilized in the study. These blanks exhibited slight variations in alloy composition (albeit within the standard range) and differed in the state of surface integrity characterized by variations in microstructure, grain size, microhardness, and residual stress. All blanks (across this array of materials) were subjected to turning using the same tool specifications and sets of machining parameters for comparative analysis. Various machinability indicators, including cutting forces, surface roughness, burr formation, tool wear, and chip morphology, were thoroughly examined. The findings highlight that the key factors influencing machinability include the microhardness of the surface and the residual stress state in the subsurface of the bars before the turning process. In contrast, changing the alloy composition within the standard range has hardly any effect on the machinability of these steels. The machinability of the examined specimens was adversely affected when the hardness exceeded 350 HV from the surface up to 2 mm below the surface and simultaneously the surface compressive residual stress exceeded −130 MPa.
Proposals on Effective Implementation of the Carbon Intensity Indication of Ships
Authors: Kim Mingyu , Lee Jung-Yoon , An Samel , Hwang Dae-Jung
Published: October 2024

The Carbon Intensity Indicator (CII) regulation is a short-term measure of IMO for reducing GHG emissions from ships. In addition, the 2023 IMO GHG Strategy describes that the CII regulation is anticipated to create a potential synergy effect with other measures. Accordingly, the CII regulation, which took effect in 2023, is forecast to increasingly impact international shipping and the commercial vessel market. However, efforts to improve energy efficiency and implement slow steaming for ships are insufficient to meet the CII regulation that is increasingly stringent over time. Therefore, there is a growing need for fundamental improvements in future response strategies. In this study, major causes of low CII ratings for ships were investigated from a recent consulting project that was conducted to support shipping companies in satisfying the regulation from operational and technical perspectives. Lastly, proposals to implement the CII regulation effectively and to reduce GHG emissions from ships fundamentally were made, taking into account the major causes derived from the consulting.
Integrating Multimodal Deep Learning with Multipoint Statistics for 3D Crustal Modeling: A Case Study of the South China Sea
Authors: Liu Hengguang , Xia Shaohong , Fan Chaoyan , Zhang Changrong
Published: October 2024

Constructing an accurate three-dimensional (3D) geological model is crucial for advancing our understanding of subsurface structures and their evolution, particularly in complex regions such as the South China Sea (SCS). This study introduces a novel approach that integrates multimodal deep learning with multipoint statistics (MPS) to develop a high-resolution 3D crustal P-wave velocity structure model of the SCS. Our method addresses the limitations of traditional algorithms in capturing non-stationary geological features and effectively incorporates heterogeneous data from multiple geophysical sources, including 44 wide-angle seismic crustal structure profiles obtained by ocean bottom seismometers (OBSs), gravity anomalies, magnetic anomalies, and topographic data. The proposed model is rigorously validated against existing methods such as Kriging interpolation and MPS alone, demonstrating superior performance in reconstructing both global and local spatial features of the crustal structure. The integration of diverse datasets significantly enhances the model’s accuracy, reducing errors and improving the alignment with known geological information. The resulting 3D model provides a detailed and reliable representation of the SCS crust, offering critical insights for studies on tectonic evolution, resource exploration, and geodynamic processes. This work highlights the potential of combining deep learning with geostatistical methods for geological modeling, providing a robust framework for future applications in geosciences. The flexibility of our approach also suggests its applicability to other regions and geological attributes, paving the way for more comprehensive and data-driven investigations of Earth’s subsurface.
Impact of Harvest Delay and Barley Variety on Grain Nutritional Composition and Mycotoxin Contamination
Authors: Venslovas Eimantas , Kochiieru Yuliia , Janavičienė Sigita , Merkevičiūtė-Venslovė Lauksmė , Almogdad Mohammad , Bartkevics Vadims , Bērziņa Zane , Pavlenko Romans
Published: October 2024

This study investigated the effects of delayed harvesting, varying meteorological conditions, and barley variety on Fusarium spp. infection rates, nutritional composition, and mycotoxin contamination in barley grains. Field experiments were conducted from 2020 to 2022 and involved two barley varieties: ‘Laureate’ for malting and ‘Luokė’ for feed. The results indicated that the dominant Fusarium species isolated were F. avenaceum, F. culmorum, F. poae, F. sporotrichioides, F. tricinctum, and F. equiseti. These tended to increase in number with delayed harvest times and were more prevalent during harvest periods of higher precipitation (p < 0.05). Malting barley had higher starch and lower protein content compared to feed barley (p < 0.05). Delayed harvesting generally increased dry matter, crude fat, and crude ash contents while decreasing crude protein, zinc, and iron contents (p < 0.05). Mycotoxin analysis revealed significant differences under specific weather conditions. HT-2 toxin levels were higher under slightly warmer and wetter conditions during flowering, with harvest conditions similar to the long-term average. Zearalenone levels increased with dry, warm growing seasons followed by rainy harvests. Nivalenol and enniatin levels increased with rainy growing seasons and dry, warm harvests. Deoxynivalenol concentrations did not reach the limit of quantification throughout the study. No consistent trend was observed for higher contamination in any specific barley variety (p > 0.05). The strongest correlations between mycotoxins and nutritional value indicators were observed with less-studied mycotoxins, such as nivalenol and enniatins, which exhibited negative correlations with crude protein (p < 0.01), crude fat (p < 0.05), and zinc (p < 0.01), and positive correlations with crude ash (p < 0.05) and phosphorus (p < 0.01).
Environmental, Social and Governance Awareness and Organisational Risk Perception Amongst Accountants
Authors: Pong Hok-Ko , Fong Chun-Cheong
Published: October 2024

The relationships between accountants’ environmental, social and governance (ESG) awareness and their perceptions of organisational risk are examined in this study. The emphasis is on the operational, strategic, financial and compliance risks of business organisations. A total of 462 accountants in Hong Kong were included via stratified random sampling and snowball sampling to ensure population diversity. A stratified random approach was used to include factors such as age, gender, income and experience, and snowball sampling amongst professional networks was used to ensure representativeness. A significant positive relationship exists between ESG awareness and risk perception, with environmental and governance factors emerging as the strongest predictors. Accountants with deep ESG awareness, especially in the aforementioned areas, can successfully identify and manage nontraditional risks such as regulatory changes and environmental threats. The findings highlight the need for institutionalising ESG-focused education in accounting and corporate governance to improve risk management capabilities. Increased ESG awareness can ensure responsible and sustainable business behaviour. Future research can expand the sample of accountants to executives and use longitudinal designs to capture the dynamic nature of ESG awareness and risk perception.
Costs Analysis of Kidney Transplantation in Spain: Differences Between Regional Health Services
Authors: Agüero-Cobo Lorena , Cobo-Sánchez José Luis , Mancebo-Salas Noelia , Gancedo-González Zulema
Published: October 2024

Background: For our society, chronic kidney disease is a major public health problem associated with high mortality, morbidity, reduced quality of life and a progressive increase in health costs. The aim of this study was to analyze and compare the current cost of kidney transplantation (KT) and kidney–pancreas transplantation (KPT) among the different Regional Health Services (RHS) in Spain. Methods: A descriptive comparative study analyzing the public prices of RHS in Spain. The Official Gazette of the different communities was consulted, where the latest available order on this type of cost was sought. A descriptive analysis was made of the stipulated cost of the KT and KPT, for each degree of severity, RHS, year of publication and cost calculation method. Mean cost and standard deviation were calculated. Results: KT prices were found for 15 of the 18 RHS (83.33%). The average cost of KT in Spain was EUR 33,926.53 ± 6950.053 (range from EUR 23,140.37 in the Canary Islands to EUR 48,205.75 in Catalonia). For KPT, costs were found for 5 of the 18 RHS (27.8%). The mean cost of KPT was EUR 65,792.38 ± 11,273.12 (ranging from EUR 49,418.81 in Navarra to EUR 78,363.20 in Andalusia). Conclusions: There is a large variability in KT and KPT costs in Spain between RHS. Our study underlines the importance of adopting standardized and updated costing methods for KT and KPT.
Developing Site-Specific Prescription Maps for Sugarcane Weed Control Using High-Spatial-Resolution Images and Light Detection and Ranging (LiDAR)
Authors: Romero Kerin F. , Heenkenda Muditha K.
Published: October 2024

Sugarcane is a perennial grass species mainly for sugar production and one of the significant crops in Costa Rica, where ideal growing conditions support its cultivation. Weed control is a critical aspect of sugarcane farming, traditionally managed through preventive or corrective mechanical and chemical methods. However, these methods can be time-consuming and costly. This study aimed to develop site-specific, variable rate prescription maps for weed control using remote sensing. High-spatial-resolution images (5 cm) and Light Detection And Ranging (LiDAR) were acquired using a Micasense Rededge-P camera and a DJI L1 sensor mounted on a drone. Precise locations of weeds were collected for calibration and validation. Normalized Difference Vegetation Index derived from multispectral images separated vegetation coverage and soil. A deep learning (DL) algorithm further classified vegetation coverage into sugarcane and weeds. The DL model performed well without overfitting. The classification accuracy was 87% compared to validation samples. The density and average heights of weed patches were extracted from the canopy height model (LiDAR). They were used to derive site-specific prescription maps for weed control. This efficient and precise alternative to traditional methods could optimize weed control, reduce herbicide usage and provide more profitable yield.
Phytosociological Investigations on the Afroalpine Vegetation of the Ruwenzori Mountains (Uganda)
Authors: Cambria Salvatore , Minissale Pietro , Tavilla Gianmarco
Published: October 2024

This paper presents the results of a phytosociological study on the Afroalpine vegetation of the Ruwenzori Mountains, one of the most prominent mountain ranges in Africa. This study marks the pioneering comprehensive investigation into the plant communities of this region, which holds significant phytogeographic importance. Through statistical analyses, eight distinct plant communities, three new alliances, two new orders, and one new class were identified within the altitudinal range of 3500 to 4600 m above sea level. These communities are well-defined from both floristic and ecological perspectives. Hierarchical classification was conducted using the quantitative Sørensen (Bray-Curtis) distance measure and the beta flexible linkage method. Furthermore, indicator species for each group were determined by calculating fidelity and constancy (occurrence frequency) within the classified dataset. To assess the validity of the classification results, non-metric multidimensional scaling (NMDS) was carried out. These analyses provide the first phytosociological arrangement of the Afroalpine vegetation of the Ruwenzori Mountains, providing a solid framework and valuable insights into its floristic and ecological characteristics.
Promoting Sustainability: Land Transfer and Income Inequality Among Farm Households
Authors: Zhang Yuzheng , Bie Mengjie , Li Yundong , Zhang Shuxian
Published: October 2024

The United Nations Sustainable Development Goals emphasize the dangers of inequality and initiatives on how to reduce it. Income inequality is an important part of this and can cause many social problems. This study aims to investigate the impact of land transfer on income inequality of Chinese farm households and its mechanism of action. This study empirically analyzes the impact of land transfer on farm household income inequality based on the OLS model using 27,134 samples from the 2018–2020 China Family Panel Study (CFPS) data. The study finds that land transfer can effectively reduce income inequality among farm households. However, only land transfers out affect income inequality; the effect of land transfers in is not significant. At the same time, there is some heterogeneity in the impact of land transfers on farm household income inequality. The effect is greater in the east and west than in the center. The effect is greater in the north than in the south. The role is greater in food-producing areas than in non-food-producing areas. Mechanism testing shows that land transfer impacts income inequality among farm households by promoting entrepreneurship. Farm households who use the Internet and have stronger social capital gain more from the impact of land transfer on income inequality.
Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning
Authors: İsmail Mendi Banu , Şanlı Hatice , Insel Mert Akın , Bayındır Aydemir Beliz , Atak Mehmet Fatih
Published: October 2024

Mycosis fungoides (MF) is the most prevalent type of cutaneous T cell lymphomas. Studies on the prognosis of MF are limited, and no research exists on the potential of artificial intelligence to predict MF prognosis. This study aimed to compare the predictive capabilities of various machine learning (ML) algorithms in predicting progression, treatment response, and relapse and to assess their predictive power against that of the Cox proportional hazards (CPH) model in patients with early-stage MF. The data of patients aged 18 years and over who were diagnosed with early-stage MF at Ankara University Faculty of Medicine Hospital from 2006 to 2024 were retrospectively reviewed. ML algorithms were utilized to predict complete response, relapse, and disease progression using patient data. Of the 185 patients, 94 (50.8%) were female, and 91 (49.2%) were male. Complete response was observed in 114 patients (61.6%), while relapse and progression occurred in 69 (37.3%) and 54 (29.2%) patients, respectively. For predicting progression, the Support Vector Machine (SVM) algorithm demonstrated the highest success rate, with an accuracy of 75%, outperforming the CPH model (C-index: 0.652 for SVM vs. 0.501 for CPH). The most successful model for predicting complete response was the Ensemble model, with an accuracy of 68.89%, surpassing the CPH model (C-index: 0.662 for the Ensemble model vs. 0.543 for CPH). For predicting relapse, the decision tree classifier showed the highest performance, with an accuracy of 78.17%, outperforming the CPH model (C-index: 0.782 for the decision tree classifier vs. 0.505 for CPH). The results suggest that ML algorithms may be useful in predicting prognosis in early-stage MF patients.
Leakage Characteristics and Experimental Research of Staggered Labyrinth Sealing
Authors: Wang Na , Cao Yongbing , Sun Zhencong , Tang Shixin , Choi Seung-Bok
Published: October 2024

The staggered labyrinth seal is widely used in aerospace, transportation, mining, and other fields due to its advantages of adapting to high speed, reliable sealing performance, and low or even frictionless friction between dynamic and static rotors. The traditional calculation method of labyrinth seal leakage mostly focuses on the fact that the internal medium is an ideal gas and only considers a single effect, which cannot accurately describe the leakage of liquid medium lubricating oil in the labyrinth seal. Therefore, this study focuses on the leakage characteristics of labyrinth seals, and it proposes a leakage calculation method based on liquid medium in view of the shortcomings of existing calculation methods under liquid medium conditions. By considering the thermodynamic and frictional effects of the staggered labyrinth sealing, the resistance loss and thermodynamic effect of the lubricating oil in the sealing cavity were analyzed. The flow field analysis was used to reveal the leakage law of lubricating oil under different conditions, and the factors such as total inlet pressure, spindle speed, and sealing clearance were considered. Finally, the leakage characteristics of the staggered labyrinth seal and the accuracy of the calculation method of the leakage of the staggered labyrinth seal under multiple effects were revealed through experimental verification. This study provides useful guidance for the performance optimization of labyrinth seals in practical applications.
Effect of Grain Size and Porosity/Binder Index on the Unconfined Compressive Strength, Stiffness and Microstructure of Cemented Colombian Sands
Authors: López Luis Carlos Suárez , Vergara Jesús Alberto Alcalá , de la Rosa Yamid E. Nuñez , Arrieta Alvaro , Baldovino Jair de Jesús Arrieta
Published: October 2024

Artificial cementation of granular soils results in improved stabilization, increased stiffness, and greater mechanical strength. The porosity index and volumetric cement content η/Civa is presented as a key measure to study the evolution of different soil stabilization types. However, this index had not been previously studied or adjusted for sands in Colombia. Therefore, this study evaluates the applicability of the η/Civa index on unconfined compressive strength (qu) and stiffness (Go), complemented by microstructural analysis, in four sandy soils from Luruaco (Atlántico), Lorica (Córdoba), Medellín (Antioquia), and Bogotá D.C. The soils were stabilized with Type III Portland cement in dosages of 3%, 5%, 7%, and 9%, and subjected to UCS, ultrasound, and SEM-EDS tests after a curing period of 7 days. It was found that increasing cement content results in higher qu values for the samples, and higher molding density also leads to higher qu values. Additionally, the grain size distribution influenced the adjustment of parameter “a”. In the sands from Bogotá and Lorica, with high uniformity, the value of “a” was 1.00. In contrast, mineralogy and particle shape played a predominant role in the sands from Medellín and Luruaco, where the coefficient of uniformity is higher, suggesting a possible inverse relationship between particle angularity and the value of “a”.
Modelling of Fluid Permeability at the Interface of the Metal-to-Metal Sealing Surface
Authors: Jaszak Przemysław , Oredsson Jan , Grzejda Rafał
Published: October 2024

This paper presents a method for modelling the permeability of fluid at the interface formed between flat parallel plates and the sharp-edged ridges of a metal gasket. This work was divided into three stages. In the first stage, numerical calculations simulating the deformation (compression of the gasket) were performed. The calculations were carried out using thermomechanical static analysis with commercial software. The purpose of these calculations was to determine the contact area of the gasket ridges with the plates, the deformation of the gasket ridges, and the reaction force resulting from the degree of compression of the gasket. In the second part of this work, analytical calculations were performed to estimate the tightness level. The analytical model proposed in this paper was based on Darcy’s equation, simulating fluid flow through a ring-shaped porous layer. The analytical model also took into account the shape of the roughness profile of the sealed surfaces. A mathematical Ausloos–Berman function based on fractal theory was used to represent it. In the last part of this work, experimental tests were carried out to determine the actual fluid permeability and thus verify the numerical and analytical calculations.
Evaluation of Surface Finishing Efficiency of Titanium Alloy Grade 5 (Ti–6Al–4V) After Superfinishing Using Abrasive Films
Authors: Tandecka Katarzyna , Kacalak Wojciech , Wieczorowski Michał , Mathia Thomas G.
Published: October 2024

Ti–6Al–4V is the most commonly used alpha–beta titanium alloy, making it the most prevalent among all titanium alloys. The processed material is widely employed in aerospace, medical, and other industries requiring moderate strength, a good strength-to-weight ratio, and favorable corrosion resistance. A microfinishing process on the titanium alloy surface was conducted using abrasive films with grain sizes of 30, 12, and 9 μm. Superfinishing with abrasive films is a sequential process, where finishing operations are performed with tools of progressively smaller grains. The surface topography measurements of the workpiece were taken after each operation. The experiment was in the direction of developing a new surface smoothness coefficient considering the number and distribution of contact points so as to properly evaluate the quality of the surface finishing. The results showed that the finest-grain films gave the most uniform contact points, thus offering the best tribological characteristics; the 9 LF (micron lapping film) tools gave the smoothest surfaces (Sz = 2 µm), while the biggest-grain films, such as the 30 FF (micron microfinishing film), were less effective since large protrusions formed. This is a suitable study to explore the optimization paths for the superfinishing of titanium alloys, with implications for improving the performance and longevity of components in critical industrial applications.
Exploring Unconventional Electron Distribution Patterns: Contrasts Between FeSe and FeSe/STO Using an Ab Initio Approach
Authors: Wong Chi-Ho , Lortz Rolf
Published: October 2024

For more than a decade, the unusual distribution of electrons observed in ARPES (angle-resolved photoemission spectroscopy) data within the energy range of ~30 meV to ~300 meV below the Fermi level, known as the ARPES energy range, has remained a puzzle in the field of iron-based superconductivity. As the electron–phonon coupling of FeSe/SrTiO3 is very strong, our investigation is centered on exploring the synergistic interplay between spin-density waves (SDW) and charge-density waves (CDW) with differential phonons at the interface between antiferromagnetic maxima and minima under wave interference. Our analysis reveals that the synergistic energy is proportional to the ARPES energy range, as seen in the comparison between FeSe and FeSe/SrTiO3. This finding may suggest that the instantaneous interplay between these intricate phenomena may play a role in triggering the observed energy range in ARPES.
Notch Effect in Acrylonitrile Styrene Acrylate (ASA) Single-Edge-Notch Bending Specimens Manufactured by Fused Filament Fabrication
Authors: Cicero Sergio , Devito Fabrizia , Sánchez Marcos , Arrieta Sergio , Arroyo Borja
Published: October 2024

This paper analyses the notch effect in the fracture behaviour of acrylonitrile–styrene–acrylate (ASA) material manufactured by fused filament fabrication (FFF). The research is performed on 72 single-edge-notch bending (SENB) specimens containing U-notches with nominal notch radii varying from 0 mm (crack-like defects) up to 2.0 mm, and fabricated with three different raster orientations (0/90, 45/−45, 30/−60). Apparent fracture toughness values are obtained for the different conditions and the resulting notch effect is analysed through the Theory of Critical Distances. A fractographic analysis is also performed using Scanning Electron Microscopy (SEM) in order to justify the fracture (macroscopic) behaviour from the observed fracture micromechanisms. The notch effect observed in the three ASA raster orientations is very similar, and lower than that observed in other FFF polymeric alternatives (ABS, PLA).
Assessing the Impact of Shredded Polyethylene Terephthalate (PET) Post-Consumer Plastic as a Partial Replacement for Coarse Aggregates in Unreinforced Concrete
Authors: Farah Elias , Yaacoub Saidé , Dgheim Joseph , El Hajj Nemr
Published: October 2024

This study investigates the feasibility of incorporating shredded polyethylene terephthalate (PET) post-consumer plastic waste as a partial replacement for coarse aggregates in unreinforced concrete such as masonry blocks. Standard concrete blocks were produced with varying PET content (0%, 5%, 25%, 35%, 50%) and tested for workability, air content, density, compressive strength, flexural strength, and thermal conductivity. Results indicated that replacing up to 25% of traditional aggregates with PET maintains adequate compressive strength for non-load-bearing applications and enhances thermal insulation by reducing the thermal conductivity from 0.7 W/m·°K to 0.27 W/m·°K at 25% replacement level, representing a significant improvement of approximately 61%. Higher PET content (35–50%) resulted in reduced structural integrity but improved insulation, suggesting its suitability for non-structural applications. This research highlights the potential of using PET plastic waste in unreinforced concrete, promoting sustainable construction practices by reducing plastic waste and conserving natural resources.