bluuebunny/crossref_metadata_2025 huggingface dataset:
A Retrospective, Single-Center Study Comparing Neoadjuvant ACTHP vs. DCbHP in HER2-Positive Early Breast Cancer Patients
Authors: Itay Amit , Globus Opher , Levanon Keren , Sella Tal , Bernstein-Molho Rinat , Shapira Tal , Oedegaard Cecilie , Fourey Dana , Nili Gal Yam Einav
Published: January 2025

Background: Neoadjuvant systemic therapy is the preferred treatment approach for stage II–III HER2-positive breast cancer (BC). Real-life data comparing regimens with or without anthracyclines combined with two HER2 drugs is lacking. We compared the efficacy and toxicity of two commonly used regimens. Methods: Retrospective data were collected on patients newly diagnosed with clinical stage II–III HER2-positive BC and treated at Sheba Medical Center, Israel, between September 2017 and June 2022 with either neoadjuvant DCbHP (docetaxel, carboplatin, trastuzumab, pertuzumab) or ACTHP (doxorubicin, cyclophosphamide, paclitaxel trastuzumab pertuzumab). PCR (pathological complete response) (ypT0/isN0) was evaluated in both cohorts and according to HER2 immunohistochemistry (IHC) staining (3+ or 2+ and fluorescence in situ hybridization [FISH] positive), estrogen receptor (ER), tumor size and nodal status. The toxicity indices evaluated were reductions in left ventricle ejection fraction (LVEF), dose reductions, hospitalizations and febrile neutropenia. Results: Here, 106 received ACTHP and 73 received DCbHP. Median age at diagnosis, ER status, HER2 IHC (2+/FISH pos or 3+) and nodal status were balanced. PCR occurred in 63.1% of patients, 67.0% and 57.5% in the ACTHP and DCbHP groups, respectively (p = 0.129). In patients with HER2 3+ IHC, pCR rates were significantly better with the ACTHP regimen than with DCbHP (83% vs. 62.9%, p < 0.039). No difference was observed among patients with HER2 +2 IHC FISH pos. Symptomatic LVEF decrease was observed in seven patients (6.6%) receiving ACTHP vs. none (0%) receiving DCbHP (p < 0.001). Conclusions: PCR rates were similar overall between ACTHP and DCbHP; however, in the HER2 3+ subgroup, ACTHP demonstrated increased efficacy. DCbHP was significantly less cardiotoxic.
Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer
Authors: Zheng Mingjun , Kessler Mirjana , Jeschke Udo , Reichenbach Juliane , Czogalla Bastian , Keckstein Simon , Schroeder Lennard , Burges Alexander , Mahner Sven , Trillsch Fabian , Kaltofen Till
Published: January 2025

Background/Objectives: This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). Methods: EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC. A least absolute shrinkage and selection operator (LASSO)–Cox regression analysis identified key genes related to prognosis. The expression of one of them, RIPK3, was analyzed via immunohistochemistry in an EOC cohort. Results: An RS made from ten genes (IDH2, RIPK3, FASLG, BRAF, ITPK1, TNFSF10, ID1, PLK1, MLKL and HSPA4) was developed. Tumor samples were divided into a high-risk group (HRG) and low-risk group (LRG) using the RS. The model is able to predict the overall survival (OS) of EOC and distinguish the prognosis of different clinical subgroups. Immunohistochemical verification of the receptor-interacting serine/threonine-protein kinase (RIPK) 3 confirmed that high nuclear expression is correlated with a longer OS. In addition, the score can predict the response to a programmed death ligand 1 (PD-L1) blockade treatment in selected solid malignancies. Patients from the LRG seem to benefit more from it than patients from the HRG. Conclusions: Our RS based on necroptosis-associated genes might help to predict the prognosis of patients with advanced EOC and gives an idea on how the use of immunotherapy can potentially be guided.
Recent Advances in the Performance and Mechanisms of High-Entropy Alloys Under Low- and High-Temperature Conditions
Authors: Xi Rui , Li Yanzhou
Published: January 2025

High-entropy alloys, since their development, have demonstrated great potential for applications in extreme temperatures. This article reviews recent progress in their mechanical performance, microstructural evolution, and deformation mechanisms at low and high temperatures. Under low-temperature conditions, the focus is on alloys with face-centered cubic, body-centered cubic, and multi-phase structures. Special attention is given to their strength, toughness, strain-hardening capacity, and plastic-toughening mechanisms in cold environments. The key roles of lattice distortion, nanoscale twin formation, and deformation-induced martensitic transformation in enhancing low-temperature performance are highlighted. Dynamic mechanical behavior, microstructural evolution, and deformation characteristics at various strain rates under cold conditions are also summarized. Research progress on transition metal-based and refractory high-entropy alloys is reviewed for high-temperature environments, emphasizing their thermal stability, oxidation resistance, and frictional properties. The discussion reveals the importance of precipitation strengthening and multi-phase microstructure design in improving high-temperature strength and elasticity. Advanced fabrication methods, including additive manufacturing and high-pressure torsion, are examined to optimize microstructures and improve service performance. Finally, this review suggests that future research should focus on understanding low-temperature toughening mechanisms and enhancing high-temperature creep resistance. Further work on cost-effective alloy design, dynamic mechanical behavior exploration, and innovative fabrication methods will be essential. These efforts will help meet engineering demands in extreme environments.
Research into the Longitudinal Loading of an Improved Load-Bearing Structure of a Flat Car for Container Transportation
Authors: Gerlici Juraj , Lovska Alyona , Kozáková Kristína
Published: January 2025

Container transport is one of the most promising modes of international freight transport. Railway container transport is mainly carried out using flat cars. Container cars can be damaged under the most unfavorable operating load conditions of a 1520 mm track gauge, i.e., shunting collisions. In this context, an improvement to the supporting structure of flat cars is proposed to ensure their strength, involving the installation of special superstructures in their cantilever parts to limit the movement of the containers. The choice of the superstructure profiles was made on the basis of the section modulus of their components. Mathematical modeling of the dynamic loading of a flat car with containers in the event of a shunting collision was carried out. The determined value of acceleration was taken into account in the calculation of the strength of the load-bearing structure of the flat car. It was found that the maximum stresses were 24% lower than the allowable stresses. Therefore, the strength condition of the flat car was met. The results of this study will contribute to reducing damage to container transport vehicles in service, to the formulation of recommendations for their construction and to an increase in their profitability, including in international transport.
Unmanned Aircraft Systems (UASs): Current State, Emerging Technologies, and Future Trends
Authors: Ariante Gennaro , Del Core Giuseppe
Published: January 2025

Unmanned aircraft, commonly referred to as drones, represent a valuable alternative for various operational tasks due to their versatility, flexibility, cost-effectiveness, and reusability. These features make them particularly advantageous in environments that are hazardous or inaccessible to humans. Recent developments have highlighted a significant increase in the use of unmanned aircraft within metropolitan areas. This growth has necessitated the implementation of new regulations and guidelines to ensure the safe integration of UAS into urban environments. Consequently, the concept of UAM has emerged. UAM refers to an innovative air transportation paradigm designed for both passengers and cargo within urban settings, leveraging the capabilities of drones. This review manuscript explores the latest advancements for UAS, focusing on updated regulations, definitions, enabling technologies, and airspace classifications relevant to UAM operations. Additionally, it provides a comprehensive overview of unmanned aircraft systems, including their classifications, key features, and primary applications.
Advanced Distributed Control of Parallel Resonant CLLC DAB Converters
Authors: Vicente David Carmona , Carrero Alba Muñoz , Díez Eduardo Galván , Solís Juan Manuel Carrasco , Rubio Francisco Rodríguez
Published: January 2025

The integration of hybrid alternating current (AC) and direct current (DC) networks has gained relevance due to the growing demand for more flexible, efficient, and reliable electrical systems. A key aspect of this integration is the parallelization of power converters, which presents several technical challenges, such as current sharing imbalances, circulating currents, and control complexity. This paper proposes a distributed control architecture for parallel resonant CLLC dual active bridge (DAB) converters to address these issues in hybrid AC–DC networks and microgrids. The approach includes a master voltage controller to regulate the output voltage and distributed local current controllers to ensure load balance. The approach minimizes the difference between the output and input voltages, allowing for independent control of power flow. Simulation and experimental results show significant improvements. The system stability has been demonstrated experimentally. Transient response has been improved with response time 80% lower using the feed-forward term. The system maintained stability with current sharing deviations below 3% under full and low load conditions. Finally, scalability is ensured by the proposed distributed controller because the central power controller is not affected by the number of units in parallel used in the application. This solution is suitable for advanced hybrid networks and microgrid applications.
COMCARE: A Collaborative Ensemble Framework for Context-Aware Medical Named Entity Recognition and Relation Extraction
Authors: Jin Myeong , Choi Sang-Min , Kim Gun-Woo
Published: January 2025

The rapid expansion of medical information has resulted in named entity recognition (NER) and relation extraction (RE) essential for clinical decision support systems. Medical texts often contain specialized vocabulary, ambiguous abbreviations, synonyms, polysemous terms, and overlapping entities, which introduce significant challenges to the extraction process. Existing approaches, which typically rely on single models such as BiLSTM or BERT, often struggle with these complexities. Although large language models (LLMs) have shown promise in various NLP tasks, they still face limitations in handling token-level tasks critical for medical NER and RE. To address these challenges, we propose COMCARE, a collaborative ensemble framework for context-aware medical NER and RE that integrates multiple pre-trained language models through a collaborative decision strategy. For NER, we combined PubMedBERT and PubMed-T5, leveraging PubMedBERT’s contextual understanding and PubMed-T5’s generative capabilities to handle diverse forms of medical terminology, from standard domain-specific jargon to nonstandard representations, such as uncommon abbreviations and out-of-vocabulary (OOV) terms. For RE, we integrated general-domain BERT with biomedical-specific BERT and PubMed-T5, utilizing token-level information from the NER module to enhance the context-aware entity-based relation extraction. To effectively handle long-range dependencies and maintain consistent performance across diverse texts, we implemented a semantic chunking approach and combined the model outputs through a majority voting mechanism. We evaluated COMCARE on several biomedical datasets, including BioRED, ADE, RDD, and DIANN Corpus. For BioRED, COMCARE achieved F1 scores of 93.76% for NER and 68.73% for RE, outperforming BioBERT by 1.25% and 1.74%, respectively. On the RDD Corpus, COMCARE showed F1 scores of 77.86% for NER and 86.79% for RE while achieving 82.48% for NER on ADE and 99.36% for NER on DIANN. These results demonstrate the effectiveness of our approach in handling complex medical terminology and overlapping entities, highlighting its potential to improve clinical decision support systems.
A Novel IGBT-Based Silicone Carbide Rectifier Design for Improved Energy Efficiency in Telco Data Centers
Authors: Yalçın Fatih , Köse Hüseyin , Savaşcıhabeş Asuman
Published: January 2025

This study presents a novel topology designed to enhance the energy efficiency and quality of IGBT-based high-frequency rectifiers, which are commonly used to supply the high DC power required in industrial applications. In the proposed design, traditional silicon semiconductors are replaced with advanced SiC semiconductors, resulting in reduced switching losses and improved energy quality due to higher frequency switching. The new topology also offers solutions to challenges such as inrush current, reverse energy flow, and high DC output voltage issues typically encountered in IGBT-based rectifiers. The goal is for this topology to maximize efficiency and applicability. The proposed design is simulated in the Simulink environment, with the results presented in the findings section. To highlight the advantages of the new topology, the electrical parameters of the widely used three-phase full-bridge IGBT rectifier topology are employed for comparison.
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Authors: Liu Zongxu , Guo Hui , Zhang Yingshuai , Zuo Zongliang
Published: January 2025

Wind power prediction is essential for ensuring the stability and efficient operation of modern power systems, particularly as renewable energy integration continues to expand. This paper presents a comprehensive review of machine learning techniques applied to wind power prediction, emphasizing their advantages over traditional physical and statistical models. Machine learning methods, especially deep learning approaches such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ensemble learning techniques like XGBoost, excel in addressing the nonlinearity and complexity of wind power data. The review also explores critical aspects such as data preprocessing, feature selection strategies, and model optimization techniques, which significantly enhance prediction accuracy and robustness. Challenges such as data acquisition difficulties, complex terrain influences, and sensor quality issues are examined in depth, with proposed solutions discussed. Additionally, the paper highlights future research directions, including the potential of multi-model fusion, emerging deep learning technologies like Transformers, and the integration of smart sensors and IoT technologies to develop intelligent, automated, and reliable prediction systems. By addressing existing challenges and leveraging advanced machine learning techniques, this work provides valuable insights into the current state of wind power prediction research and offers strategic guidance for enhancing the applicability and reliability of prediction models in practical scenarios.
Development of Alginate-Chitosan Bioactive Films Containing Essential Oils for Use in Food Packaging
Authors: Guzmán-Pincheira Carla , Moeini Arash , Oliveira Patricia E. , Abril Diana , Paredes-Padilla Yeni A. , Benavides-Valenzuela Sergio
Published: January 2025

The effect on the physical, mechanical, and antibacterial properties of films composed of alginate-chitosan with the incorporation of oregano (EOO) or thyme (EOT) essential oils was evaluated. These films showed a thickness between 37.7 and 38.2 µm, with no significant differences for essential oil content. Water vapor permeability decreased from 4.03 (oil-free film) to 1.65 (g/msPa) × 10−9 in 3% EO. Mechanical properties reflected a reduction in tensile strength (TS) from 73 (oil-free films) to values between 34 and 38 MPa with 3% EO, while elongation (E%) increased from 4.8% to 10.4–11.8%. Regarding antibacterial capacity, as the concentration of essential oil increases, the antibacterial capacity also increases. On average, the increase from 1.0% to 3.0% of EOO increased the antimicrobial capacity against Gram-negative and Gram-positive bacteria. EOO outperformed EOT against E. coli and L. monocytogenes. In addition, films with 2–3% EOT showed a significant dark yellow color compared to the control. These results suggest that films with the addition of oregano and thyme essential oils can be promising for food packaging applications with the ability to improve food safety and increase product shelf life by achieving functional packaging characteristics.
Effects of Purple-Fleshed Sweet Potato Lyophilized Powder on the Physicochemical Properties, Lactic Acid Bacteria Viability, Microstructure, and Textural Properties of Stirred Yogurt
Authors: Cunha Júnior Paulo Cezar da , Pinto Carlos Alberto Cruz , Saraiva Jorge Manuel Alexandre , Ferreira Elisa Helena da Rocha
Published: January 2025

This study proposes the use of lyophilized powder of purple-fleshed sweet potato (LP) as a new multifunctional ingredient to improve the identity and quality parameters of stirred yogurts. The physical and chemical properties, color, monomeric anthocyanin content, lactic acid bacteria viability, water retention capacity, microstructure, and texture were evaluated for yogurts enriched with LP at the levels of 2% (YLP2), 4% (YLP4), and 6% (YPL6), stored for 30 days under refrigeration (4 °C). The results indicated that LP provided different intensities and shades of pink coloration to yogurt, in addition to increasing (p < 0.05) the water retention capacity and reducing the water activity. No post-acidification processes were observed during storage. YLP2, YLP4, and YLP6 showed higher stability regarding the number of viable lactic acid bacteria cells compared to the control sample (without enrichment) during storage. Interstitially, adding LP improved the microstructures of the yogurts, promoting more cross-linked networks, with greater uniformity and smaller empty zones, regardless of the level used; in addition, the yogurts (YLP4 and YLP6) were firmer and creamier. These findings demonstrate that LP can be used as a multifunctional ingredient to promote technological/functional improvements, being underscored as a promising natural colorant, stabilizer, emulsifier, and thickener for yogurts.
The Effectiveness and Mechanisms of China’s Grain Support Policies in Relation to Grain Yield—An Evaluation of a Wide Range of Policies
Authors: Li Tianjian , Yang Fan , Zhang Haotian , Lin Qingning
Published: January 2025

Objective evaluation and in-depth systematic analysis of the effectiveness of implementing a grain support policy series represent an important entry point for improving incentives to grow food, improving grain production support and protection systems, and guaranteeing national food security. Thus, we collected and organized grain support policies during the study period according to the government work reports of 31 provinces in China from 2001 to 2022 and applied a two-way fixed-effects model based on the variables constructed using textual analysis to further explore the effects of a range of grain support policies on grain production gains. The conclusions are as follows: (1) grain support policies significantly contributed to an increase in grain production; (2) grain production gains from grain support policies are more pronounced in less industrialized and disaster-affected areas; (3) a mechanism analysis showed that grain support policies enhanced grain production by expanding the scale of food cultivation, upgrading agricultural mechanization, and strengthening soil erosion control; and (4) further analysis showed that grain support policies increased pesticide use. These conclusions are of great significance for improving grain production support and protection systems, enhancing incentives for farmers to grow food and for local governments to control food, and achieving the goal of food security.
Microscopic Analysis of Temperature Effects on Surface Colonization and Biofilm Morphology of Salmonella enterica
Authors: Vice Zachariah , Zhou You , Chitlapilly Dass Sapna , Wang Rong
Published: January 2025

Salmonella enterica represents a diverse group of pathogens commonly associated with food contamination including red meat. Even though pre- and post-harvest cleaning and sanitization procedures are widely implemented at meat processing plants to mitigate the hazard, S. enterica cells may escape the process by colonizing, on contact, surfaces in the form of a biofilm that functions as an aggregated microbial community to facilitate mutual protection, antimicrobial resistance, proliferation and dissemination. Biofilm development is a complex process that can be affected by a variety of factors including environmental temperature. We developed methods using scanning electron microscopy and confocal microscopy with a novel image analysis software tool to investigate the temperature influence on S. enterica cell colonization and biofilm formation by directly visualizing and comparing the biofilm matrix’s morphological differences under various temperatures. Cocktails of S. enterica strains belonging to serovars, commonly isolated from meat samples, were applied to develop biofilms on a stainless steel surface at 7, 15, or 37 °C. Results of the microscopy analysis showed that as temperature increased, better-defined biofilm structures with extracellular polymeric structures (EPS) could be identified. However, S. enterica colonization and aggregated bacterial biomass were clearly observed at the low temperature (7 °C) as well. These results demonstrate that the environmental temperature significantly contributes to S. enterica biofilm formation as the higher temperatures encourage bacterial active proliferation and biofilm maturation leading to the development of well-pronounced structures, while the lower temperature may promote cell attachment but, meanwhile, limit the EPS biosynthesis and biofilm maturation. Our study indicates that the mature S. enterica biofilms formed under favorable conditions may protect the pathogens with the well-developed 3-demensional (3D) structure against routine treatment. Furthermore, the low temperatures commonly maintained at meat plants are not able to effectively prevent S. enterica colonization and biofilm formation since at such temperatures there could still be colonized biomass that can contaminate the products. Therefore, the temperature effect on pathogen colonization and biofilm development should be taken into consideration while evaluating hygiene standards and sanitization procedures at the processing facilities.
Kafkaesque Algorithms: Kafka’s Writing in the Age of Artificial Intelligence
Authors: Fraser Jake
Published: January 2025

This article uses the surge of recent AI-generated simulations of Kafka’s writing as an opportunity to reflect upon both what AI can teach us about Kafka’s writing and what Kafka’s writing can teach us about the age of artificial intelligence. Under the heading “Kafkaesque Algorithms”, this article explores three distinct but related questions that emerge at the intersection of stylistics, poetics, and media theory. First, do AI simulations of Kafka’s writing adequately capture Kafka’s style, and if not, why not? Second, is there perhaps something inherently algorithmic about Kafka’s poetics, in ways that might both tempt and resist simulation by AI? And third, is the notion of outsourcing low-level repetitive labor to machines—a common promotional strategy for contemporary AI writing aids—truly novel, or would it instead have already been familiar to Kafka himself?
Preserving the Past: A Dynamic Analysis of Heritage Tourism and Land Conservation in Mamluk Cairo
Authors: Salem Amany E. , Eissa Ahmed Tawhid , Hassan Thowayeb H. , Saleh Mahmoud I.
Published: January 2025

Historic urban cities face increasing pressure from tourism, necessitating sophisticated approaches to visitor management that protect both heritage values and local communities. The current study develops new sustainable metrics—sustainable visitor capacity (SVC) and Sustainable Visitation Index (SVI)—to provide a multifaceted assessment of heritage destination management beyond simple visitor volume calculations. The SVC considers operating hours, site capacity, and walking time, while the SVI holistically evaluates time efficiency, spatial distribution, and physical comfort. Applying these metrics to seven routes through the historic Mamluk monuments revealed significant variations in sustainability performance, with SVI scores ranging from 48.9 at Al-Ṣalῑba/Al-Sayyida Zaynab Streets to 92.8 at Northern Al-Mu’izz Street. The findings demonstrate that while the recommended daily visitor capacity ranges from 1286 to 2182 visitors across different routes, actual visitation frequently exceeds these thresholds, particularly in commercial zones. Geographic analyses and on-site studies identified the integration of tourist activities with commercial, residential, and religious uses as a critical factor contributing to overcrowding, especially evident in areas like Al-Ṣalῑba Street, where low SVI scores reflect challenges with unorganized markets and local congestion. The study offers site-specific recommendations for heritage managers, focusing on dynamic visitor management systems and zoning strategies that consider the dual function of these historic corridors as both tourist attractions and vital local thoroughfares. This research provides heritage managers with practical tools to quantify and enhance the sustainability of visitor experiences while preserving site integrity within complex urban heritage contexts.
Glucagon Can Increase Force of Contraction via Glucagon Receptors in the Isolated Human Atrium
Authors: Neumann Joachim , Schmidt Franziska , Hofmann Britt , Gergs Ulrich
Published: January 2025

Glucagon can increase the force of contraction (FOC) in, for example, canine hearts. Currently, whether glucagon can also increase the FOC via cAMP-increasing receptors in the human atrium is controversial discussed. Glucagon alone did not (up to 1 µM) raise the FOC in human right atrial preparations (HAP). Only in the additional presence of the phosphodiesterase (PDE) 3 inhibitor cilostamide (1 µM) or 1 nM isoprenaline did glucagon raise the FOC, starting at 1 µM. The positive inotropic effects of glucagon in HAP were attenuated by a glucagon receptor antagonist (1 µM SC203972), but not by 100 nM exendin(9-39), a glucagon-like peptide-1 receptor (GLP-1R) antagonist. Glucagon (in the presence of cilostamide) demonstrated a reduced efficacy in elevating the FOC in HAP when compared with isoprenaline. In contrast to glucagon, exenatide alone, a GLP-1R agonist, starting at 1 nM, increased the FOC and was more potent and effective than glucagon in raising the FOC in HAP. The effects of exenatide on the FOC were attenuated by exendin(9-39). Hence, glucagon and GLP-1R agonists act functionally via different receptors in the human right atrium. Clinically, these data suggest that endogenous or exogenous glucagon can stimulate glucagon receptors in the human atrium, but only in the presence of PDE inhibitors.
Mechanism of Functional Compound Fruit Drinks in Regulating Serum Metabolism in Constipated Mice
Authors: Lu Quanhong , Shi Yali , Wen Xin , Zhu Lulu , Zhang Longteng , Zhu Kexue , Cao Jun , Li Chuan
Published: January 2025

A compound fruit drink (CFD) is a functional beverage containing fruits, Chinese herbal medicine, and prebiotic fructose. Previous studies have shown the effect of a CFD on alleviating constipation and its impact on gut microbiota. However, a comprehensive analysis has not been reported in regard to the serum metabolism of CFDs. This study established a mouse constipation model, using loperamide hydrochloride. Herein, based on UHPLC–QTOF/MS analysis, 93 differential metabolites (mainly including phosphoglycerides and amino acid derivatives) among the groups of mice were identified. After CFD treatment, the content of phosphatidylethanolamine, amino acid derivatives (including N-Acetyl-L-aspartate, L-Norleucine, and cis-4-Hydroxy-D-proline), and fumarate increased, while that of esters decreased. Pathway enrichment analysis revealed that the CFD mitigated constipation by modulating nine metabolic pathways, which encompass glycerophospholipid metabolism, the tricarboxylic acid (TCA) cycle, pyruvate metabolism, and tyrosine metabolism. Notably, the glycerophospholipid metabolic pathway was identified as the most pertinent. Collectively, the results provide new ideas for developing functional foods that nourish the intestines and relieve constipation.
Cardiovascular Health of the Balearic Islands (Spain) After the COVID-19 Pandemic
Authors: Del Castillo Hugo , Gámez José M.
Published: January 2025

Background/Objectives: The COVID-19 pandemic caused healthcare managers to reallocate resources from other areas in order to handle the outbreak. Cardiovascular usual care was especially affected during the first wave. Methods: We analyzed the short- and mid-term impact of the resource reallocation on cardiovascular health, focusing on the Balearic Islands in Spain. Data from 2019 to 2021 of the regional healthcare system and from the national and regional stats center were collected in order to analyze the variations in type of admissions, main causes of cardiovascular mortality, and the correlation between the monthly variation in those causes of mortality and total cardiovascular mortality. Results: The year 2021 showed worse results in terms of healthcare outcomes compared to the pre-pandemic period, with a population-adjusted cardiovascular mortality increase of 4.8% and heart failure and hypertension being the main drivers (6.4% and 26.45%, respectively). However, this impact was not homogeneous in both pandemic years. In 2020, the main driver for the cardiovascular mortality increase was myocardial infarction (R Pearson = 0.655/p = 0.021). On the other hand, chronic conditions such as heart failure and hypertension led to the increase in cardiovascular mortality in 2021 (R Pearson = 0.671/p = 0.017 and R Pearson = 0.619/p = 0.032, respectively). In-hospital resources for COVID-19 showed a positive correlation to cardiovascular mortality in 2021; however, it did not reach statistical significance (R Pearson = 0.41/p = 0.1). Conclusions: Mid-term cardiovascular health worsened in the Spanish Balearic Island region, with hypertension and heart failure being the main drivers, with important differences in influence between 2020 and 2021. We found a correlation between COVID-19 in-hospital resource allocation and total cardiovascular mortality.
The External Validation of a Multivariable Prediction Model for Recurrent Pelvic Organ Prolapse After Native Tissue Repair: A Prospective Cohort Study
Authors: Kessels Imke , van Kuijk Sander , Vergeldt Tineke , van Gestel Iris , Spaans Wilbert , Notten Kim , Kruitwagen Roy , Weemhoff Mirjam
Published: January 2025

Background/Objectives: A prediction model for anatomical cystocele recurrence after native tissue repair was developed and internally validated in 2016. This model estimates a patients’ individual risk of recurrence and can be used for counseling. Before implementation in urogynecological clinical practice, external validation is needed. The aim of this study was to assess the external validity of this previously developed prediction model. The secondary aim was to test the performance of this model with a composite and subjective outcome of pelvic organ prolapse (POP) recurrence. Furthermore, the aim was to investigate whether risk factors for POP recurrence were in line with the population in which the original model was developed. Methods: In this prospective multicenter cohort study, 246 patients who underwent anterior colporrhaphy were included. Inclusion criteria were patients scheduled to undergo a primary anterior colporrhaphy (with a POP Quantification (POPQ) stage ≥ 2 cystocele). A combination of a primary anterior colporrhaphy with other POP or incontinence surgery (without the use of vaginal or abdominal mesh material) was permitted. Patients with prolapse or incontinence surgery prior to index surgery could not participate. All patients filled in questionnaires, pelvic floor ultrasound was performed preoperatively, and data from the medical file concerning POPQ stage and obstetric and general history were obtained. Results: Thirty women (12.2%) were lost at follow up. Anatomical cystocele recurrence was present in 107/216 (49.5%), subjective recurrence in 19/208 (9.1%), and 39/219 (17.8%) patients met the criteria for composite outcome. The area under the receiver operating characteristic curves for anatomical, composite, and subjective recurrence were 65.5% (95% CI: 58.7–72.4), 55.8% (95% CI 47.3–64.3%, NS), and 55.1% (95% CI 45.1–65.2%), respectively. In the multivariable analysis, preoperative cystocele stage 3 or 4 and a complete levator defect on ultrasound were independent risk factors for anatomical recurrence. For composite recurrence, younger age and an active employment status were only risk factors in univariable analysis. No significant risk factors for subjective recurrence could be identified. Conclusions: This external validation study showed a moderate performance for a prediction model for anatomical recurrence. The model cannot be used for a composite or subjective outcome prediction because of poor performance. For composite and subjective recurrence, new prediction models need to be developed.
Assessing the Value of Further Investment in R&D Using Mixed Methods: A Case Study of Biosensor-Integrated Arteriovenous Grafts
Authors: Owusu Achiaw Samuel , Hawkins Neil , Wu Olivia , Mercer John
Published: January 2025

This study illustrates the utility of a mixed-methods approach in assessing the value of an example novel technology—biosensor-integrated self-reporting arteriovenous grafts (smart AVGs). Currently in preclinical development, the device will detect arteriovenous graft stenosis (surveillance-only use case) and treat stenosis (interventional use case). The approach to value assessment adopted in this study was multifaceted, with one stage informing the next and comprised a stakeholder engagement with clinical experts to explore the device’s clinical value, a cost–utility analysis (CUA) from a US Medicare perspective to estimate pricing headroom, and an investment model estimating risk-adjusted net present value analysis (rNPVs) to determine commercial viability. The stakeholder engagement suggested that it would currently be difficult to establish the current value of the surveillance-only use case due to the lack of well-established interventions for preclinical stenosis. Based on this, the CUA focused on the interventional use case and estimated economically justifiable prices at assumed effectiveness levels. Using these prices, rNPVs were estimated over a range of scenarios. This value assessment informs early decision-making on health technology R&D by identifying the conditions (including clinical study success, potential market size and penetration, market access strategies, and assumptions associated with CUA) under which investment may be considered attractive.
Sensitivity to the Demethylation Inhibitor Difenoconazole Among Baseline Populations of Various Penicillium spp. Causing Blue Mold of Apples and Pears
Authors: Pandey Madan , Haskell Clayton L. , Cowell Juliette D. , Amiri Achour
Published: January 2025

Difenoconazole (DIF), a demethylation inhibitor fungicide, was registered in 2016 for the control of postharvest diseases of pome fruits. In this study, 162 isolates from P. expansum (n = 31) and 13 other “non-expansum” Penicillium spp., i.e., P. solitum (n = 52), P. roqueforti (n = 32), P. commune (n = 15), P. paneum (n = 9), P. psychrosexuale (n = 8), P. crustosum (n = 5), P. carneum (n = 3), P. palitans (n = 2), along with one isolate each of P. citrinum, P. griseofulvum, P. raistrickii, P. ribium, and P. viridicatum, were collected from multiple packinghouses in the U.S. Pacific Northwest. In vitro sensitivity assays showed similar sensitivities of spores and mycelia across species with the mean EC50 values ranging from 0.01 for P. psychrosexuale (n = 8) to 1.33 μg mL−1 for P. palitans (n = 2), whereas the mean EC50s were 0.03, 0.12, 0.19, and 0.51 μg mL−1 for P. expansum (n = 31), P. paneum (n = 9), P. solitum (n = 52), and P. crustosum (n = 5), respectively. The recommended rate of DIF controlled P. expansum and P. roqueforti isolates but not all isolates of four other Penicillium spp. on Fuji apples after five months at 1.5 °C. The mixture of DIF + fludioxonil (FDL) (AcademyTM) controlled all the dual-sensitive isolates (DIFSFDLS) and DIF single-resistant (DIFR) isolates among the six species tested but not the FDLR and dual DIFRFDLR isolates. Notable polymorphism was detected in the CYP51 gene of the “non-expansum” species with four mutations located at four residues. Although the isolates analyzed in this study had not previously been exposed to DIF, the findings indicate variable sensitivity levels among the Penicillium spp.
Modeling, Design, and Laboratory Testing of a Passive Friction Seismic Metamaterial Base Isolator (PFSMBI)
Authors: Khosravi Shayan , Amjadian Mohsen
Published: January 2025

This paper focuses on the theoretical and analytical modeling of a novel seismic isolator termed the Passive Friction Mechanical Metamaterial Seismic Isolator (PFSMBI) system, which is designed for seismic hazard mitigation in multi-story buildings. The PFSMBI system consists of a lattice structure composed of a series of identical small cells interconnected by layers made of viscoelastic materials. The main function of the lattice is to shift the fundamental natural frequency of the building away from the dominant frequency of earthquake excitations by creating low-frequency bandgaps (FBGs) below 20 Hz. In this configuration, each unit cell contains an inner resonator that slides over a friction surface while it is tuned to vibrate at the fundamental natural frequency of the building. This resonance enhances the energy dissipation capacity of the PFSMBI system. After deriving the governing equations for four selected lattice configurations (i.e., Cases 1–4), a parametric study is performed to optimize the PFSMBI system for a wide range of harmonic ground motion frequencies. In this study, we examine how key parameters, such as the mass ratios of the cells and resonators, tuning frequency ratios, the number of cells, and the coefficient of friction, affect the system’s performance. The PFSMBI system is then incorporated into the dynamic model of a six-story base-isolated building to evaluate its effectiveness in reducing the floor acceleration and inter-story drift under actual earthquake ground motion records. This dynamic model is used to investigate the effect of stick–slip motion (SSM) on the energy dissipation performance of a PFSMBI system by employing the LuGre friction model. The numerical results show that the optimized PFSMBI system, through its lattice structure and frictional resonators, effectively reduces floor acceleration and inter-story drift by leveraging FBGs and frictional energy dissipation, particularly when SSM effects are properly accounted for. Finally, a small-scale prototype of the PFSMBI system with two cells is developed to verify the effect of SSM. This experimental validation highlights that neglecting SSM can lead to an overestimation of the energy dissipation performance of PFSMBI systems.
Metal–Organic Framework-Assisted Atmospheric Water Harvesting Enables Cheap Clean Water Available in an Arid Climate: A Perspective
Authors: Hu Yang , Jia Linhui , Xu Hong , He Xiangming
Published: January 2025

Extracting water directly from the atmosphere seems to be a perfect way to solve the water scarcity facing 2 billion people; however, traditional Atmospheric Water Harvesting (AWH) lacks the ability to adsorb water molecules in an arid climate. Porous materials are capable of assisting water adsorption; however, currently, only certain customizable Metal–Organic Frameworks (MOFs) are able to meet the standard of adsorbing water molecules at low humidity and releasing water at low temperatures at certain times that can realize assisted AWH’s practical and energy-efficient use (Energy consumption < 5kWh/L-water). From this perspective, we offer a concise review of the advancements in enhanced AWH technologies, delve into the attributes of appropriate MOFs, and offer insights into the potential and future directions of MOFs–AWH. In conclusion, we underscore that that the development of designable MOFs holds the key to the widespread practical implementation of AWH, promising the availability of affordable clean water anywhere in the world.
The Inconsistency of the Algorithms of Jaro–Winkler and Needleman–Wunsch Applied to DNA Chain Similarity Results
Authors: Melnikov Boris
Published: January 2025

There are many different algorithms for calculating the distances between DNA chains. Different algorithms for determining such distances give different results. This paper does not consider issues related to which of the classical algorithms is better, but shows the inconsistency of two classical algorithms, specifically the algorithms of Jaro–Winkler and Needleman–Wunsch. To do this, we consider distance matrices based on both of these algorithms. We explain that, ideally, the triangles formed by the distance matrix corresponding to each triple of distances should be acute-angled isosceles. Of course, in reality, this fact is violated, and we can determine the badness for each such triangle. In this case, the two algorithms for determining distances will be consistent. In the case where such sequences of badness are located in the same order for them, and the greater the difference from this order, the less they are consistent. In this paper, we consider the distance matrices for the two mentioned algorithms, calculated for the mitochondrial DNA of 32 species of monkeys belonging to different genera. For them, 4960 triangles are formed in both matrices, and we calculate the values of the rank correlation between these sequences. We obtain very small results for these values (with different methods of calculating the rank correlation, it does not exceed the value 0.14), which indicates the inconsistency of the two algorithms under consideration.
Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning
Authors: Lloyd Amanda J. , Warren-Walker Alina , Finch Jasen , Harper Jo , Bennet Kathryn , Watson Alison , Lyons Laura , Martinez Martin Pilar , Wilson Thomas , Beckmann Manfred
Published: January 2025

Background/Objectives: Dartmoor Estate Tea plantation in Devon, UK, is renowned for its unique microclimate and varied soil conditions, which contribute to the distinctive flavours and chemical profiles of tea. The chemical diversity of fresh leaf samples from various garden locations was explored within the plantation. Methods: Fresh leaf, which differed by location, cultivar, time of day, and variety, was analysed using Flow Infusion Electrospray Ionisation Mass Spectrometry (FIE-MS). Results: Random forest classification revealed no significant differences between Georgian N2 cultivar garden locations. However, a significant degree of variability was observed within four tri-clonal variants (Tocklai Variety) with TV9 exhibiting greater similarity to the Georgian N2 cultivar compared to TV8 and TV11, while TV11 was found to be most like TV1. The intraclass variability in leaf composition was similar between the varieties. We explored the metabolic changes over the day in one variant (Camellia assamica Masters), yielding a model with a significant R2 value of 0.617 (p < 0.01, 3000 permutations). Starch and sucrose metabolism was found to be significant where the abundance of these chemical features increased throughout the day and then began to decrease at night. Conclusions: This research highlights the complex interplay of cultivars, geographical location, and temporal factors on the chemical composition of tea. It provides insightful data on the metabolic pathways influencing tea cultivation and production and underscores the importance of these variables in determining the final chemical profile and organoleptic characteristics of tea products.
Design and Application of Uniaxially Sensitive Stress Sensor
Authors: Wu Kaituo , Xiang Zixun , Lu Xinbo , Yan Yichao , Wu Chunyang , Wang Tao , Zhang Wanli
Published: January 2025

Current stress sensors for microsystems face integration challenges and complex signal decoding. This paper proposes a real-time uniaxially sensitive stress sensor. It is obtained by simple combinations of bar resistors using their sensitivity differences in different axes. With the aid of a Wheatstone bridge, the sensor can measure the uniaxial stress magnitude by simple calibration of the stress against the output voltage and detect the bidirectional stress magnitude and direction in a micro-zone by simple rotation. The theoretical sensitivity obtained from simulation is 0.087 mV/V·MPa when the X-bridge is stressed in the X-direction under 1 V of excitation, and the test sensitivity of the X-bridge prepared in this paper is 0.1 mV/V·MPa. The design is structurally and procedurally simple, exhibits better temperature stability, and reduces interface requirements, making it suitable for the health monitoring of multi-chip microsystem chips.
Human Serum Albumin and Human Serum Albumin Nanoparticles as Carriers of 10-(2′-Pyrimidyl)-3,6-diazaphenothiazine: In Vitro Spectroscopic Studies
Authors: Owczarzy Aleksandra , Kulig Karolina , Morak-Młodawska Beata , Jeleń Małgorzata , Muhammetoglu Tammam , Rogóż Wojciech , Maciążek-Jurczyk Małgorzata
Published: January 2025

Human serum albumin (HSA) plays a fundamental role in the human body, including the transport of exogenous and endogenous substances. HSA is also a biopolymer with a great medical and pharmaceutical potential. Due to nontoxicity and biocompatibility, this protein can be used as a nanocarrier. 10-(2′-Pyrimidyl)-3,6-diazaphenothiazine (10-Pyr-3,6-DAPT) is a phenothiazine showing high anticancer potential in vitro against glioma, melanoma and breast cancer cells. Additionally, this compound is characterized by selectivity of action towards MCF-7 breast cancer and has low cytotoxicity towards normal cells. Considering the promising pharmacological potential of this compound and using spectroscopic techniques, HSA and human serum albumin nanoparticles (HSA-NP) were tested as carriers of this molecule. Based on the obtained data and the appropriate mathematical models (Stern-Volmer and Klotz models), it can be concluded that 10-Pyr-3,6-DAPT probably forms a weak (Ka = (5.24 ± 0.57) × 104 and Ka = (4.67 ± 0.59) × 104) for excitation wavelengths λex 275 nm and λex 295 nm, respectively) static complex (kq > 1010) with HSA (at Sudlow site II (subdomain IIIA), and the phenomenon of it having both strong therapeutic and toxic effects is possible. High encapsulation efficiency of 10-Pyr-3,6-DAPT into the HSA-NPs was obtained, and the changes in albumin secondary structure due to the presence of 10-Pyr-3,6-DAPT were registered. Based on the data presented, it can be concluded that due to the high toxic effects of 10-Pyr-3,6-DAPT, a better carrier may be HSA-NPs.