bluuebunny/crossref_metadata_2025 huggingface dataset:
Home Efficacy of a Postbiotic-Based Gel Compared with a Gel Without Active Ingredients for the Treatment of Gingival Inflammation in Patients with Down Syndrome: A Randomized Controlled Study
Authors: Scribante Andrea , Appendino Paolo , Maiorani Carolina , Fontanarosa Paolo , Pascadopoli Maurizio , Cammisuli Sara , Azouz Basmala , Buttiglieri Simone , Butera Andrea
Published: January 2025

Objectives: The aim of this six-month randomized controlled study was to evaluate the efficacy of a non-surgical periodontal treatment combined with the use of an active gel compared to a non-surgical treatment alone in reducing inflammatory indices in periodontal patients with Down syndrome. Methods: A total of 40 patients were included in the study, 20 of which were assigned to the active group and 20 to the control group. The active group underwent non-surgical periodontal treatment supplemented by daily home application of an intensive soothing gel containing probiotics. The control group received non-surgical periodontal treatment combined with the application of a gel without active ingredients. The following clinical indices were assessed: Bleeding on Probing (BOP %), Plaque Control Record (PCR %), Mobility (Miller Index), and Modified Marginal Gingival Index (MGI). Measurements were taken at baseline (T0), one month after treatment initiation (T1), after three months (T2), and after six months (T3). The patient compliance was evaluated at each visit, and product satisfaction was assessed through a questionnaire using a Visual Analogue Scale (VAS). Results: By the end of the study, statistically significant improvements were observed in both the groups from T0 to T3 evaluation (p < 0.05). The BOP score was significantly lower in the Trial group at the T3 intergroup evaluation (p < 0.05). Conclusions: A soothing gel with postbiotic and natural compounds was a valuable adjunct to non-surgical periodontal treatment to improve periodontal health in patients with Down syndrome, reducing BOP after 6 months of treatment.
Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method
Authors: Kuang Junyu , Chen Yingbiao , Ling Zhenxiang , Meng Xianxin , Chen Wentao , Zheng Zihao
Published: January 2025

With the rapid advancement of drone technology, modern drones have achieved high levels of functional integration, alongside structural improvements that include lightweight, compact designs with foldable features, greatly enhancing their flexibility and applicability in photogrammetric applications. Nevertheless, limited research currently explores data collected by such compact UAVs, and whether they can balance a small form factor with high data quality remains uncertain. To address this challenge, this study acquired the remote sensing data of a peri-urban area using the DJI Mavic 3 Enterprise and applied Object-Based Image Analysis (OBIA) to extract high-density buildings. It was found that this drone offers high portability, a low operational threshold, and minimal regulatory constraints in practical applications, while its captured imagery provides rich textural details that clearly depict the complex surface features in urban villages. To assess the accuracy of the extraction results, the visual comparison between the segmentation outputs and airborne LiDAR point clouds captured by the DJI M300 RTK was performed, and classification performance was evaluated based on confusion matrix metrics. The results indicate that the boundaries of the segmented objects align well with the building edges in the LiDAR point cloud. The classification accuracy of the three selected algorithms exceeded 80%, with the KNN classifier achieving an accuracy of 91% and a Kappa coefficient of 0.87, which robustly demonstrate the reliability of the UAV data and validate the feasibility of the proposed approach in complex cases. As a practical case reference, this study is expected to promote the wider application of lightweight UAVs across various fields.
Effects of Choosing Different Parameterization Data in Two-Phase Forest Inventories for Standing Stock Estimation
Authors: Berger Ambros , Gschwantner Thomas
Published: January 2025

The demands on national forest inventories to provide detailed information for small geographical regions are rising. Two-phase estimators are often employed to obtain forest resource estimates, yet there is little information on optimal training data selection. This study evaluates the impact of different training data on two-phase estimators, with a focus on small area estimators for standing stock and aims to develop guidelines on selecting appropriate training datasets. Linear regression models were parameterized using multiple datasets and subsets based on ecological and administrative boundaries. The models were then applied on varying scales, and their estimates and their confidence intervals were compared to each other as well as to the single-phase, purely terrestrial forest inventory. Results suggest that the different two-phase models generally yield comparable estimates but differ notably from single-phase estimates. Specifically, differences increase in smaller areas and with correspondingly smaller training datasets, suggesting a minimum of 100 data points. To ensure robust estimates, we recommend adapting training sets to local conditions and exercising caution with small training datasets and areas because implausible results may occur. Pooling appropriate datasets is the preferable solution.
AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions
Authors: Loukili Mohammed , El Moumni Soufiane , Kotrasova Kamila
Published: January 2025

Coastal defense structures play a crucial role in mitigating wave impacts; yet, existing breakwater designs often face challenges in balancing wave reflection, energy dissipation, and structural stability. This study leverages machine learning (ML) to predict the optimal 2D dimensions of rectangular breakwaters in two configurations: submerged at the bottom of a wave tank and positioned at the free surface. Further, the objective is to achieve controlled wave reflection allowing a specific wave run-up and optimized energy dissipation, while ensuring maritime stability. Thus, we used an analytical equation modeling the reflection coefficient versus relative water depth (KH), for different immersion ratios of obstacle (h/H), and relative length (l/H). Two datasets of 32,000 data points were generated for underwater and free-surface breakwaters, with an additional 10,000 data points for validation, totaling 42,000 data points per case. Five ML algorithms—Random Forest, Support Vector Regression, Artificial Neural Network, Decision Tree, and Gaussian Process—were applied and evaluated. Results demonstrated that Random Forest and Decision Tree balanced accuracy with computational efficiency, while the Gaussian Process closely matched analytical results but demanded higher computational resources. These findings support ML as a powerful tool to optimize breakwater design, complementing traditional methods and contributing to more sustainable and resilient coastal defense systems.
Multi-Instance Zero-Watermarking Algorithm for Vector Geographic Data
Authors: Zhou Qifei , Yan Lin , Wang Zihao , Ren Na , Zhu Changqing
Published: January 2025

To address the variability and complexity of attack types, this paper proposes a multi-instance zero-watermarking algorithm that goes beyond the conventional one-to-one watermarking approach. Inspired by the class-instance paradigm in object-oriented programming, this algorithm constructs multiple zero watermarks from a single vector geographic dataset to enhance resilience against diverse attacks. Normalization is applied to eliminate dimensional and deformation inconsistencies, ensuring robustness against non-uniform scaling attacks. Feature triangle construction and angle selection are further utilized to provide resistance to interpolation and compression attacks. Moreover, angular features confer robustness against translation, uniform scaling, and rotation attacks. Experimental results demonstrate the superior robustness of the proposed algorithm, with normalized correlation values consistently maintaining 1.00 across various attack scenarios. Compared with existing methods, the algorithm exhibits superior comprehensive robustness, effectively safeguarding the copyright of vector geographic data.
A Non-Pharmacological Paradigm Captures the Complexity in the Mechanism of Action of Poliprotect Against Gastroesophageal Reflux Disease and Dyspepsia
Authors: Caterbi Sara , Buttarini Claudio , Garetto Stefano , Franco Moscardini Isabelle , Ughetto Stefano , Guerrini Angela , Panizzi Elena , Rumio Cristiano , Mattioli Laura , Perfumi Marina , Maidecchi Anna , Cossu Andrea , Bruley des Varannes Stanislas , Regula Jaroslaw , Malfertheiner Peter , Sardi Claudia , Lucci Jacopo
Published: January 2025

When the protective mechanisms of the gastroesophageal mucosa are overwhelmed by injurious factors, the structural and functional mucosal integrity is compromised, resulting in a wide spectrum of disorders. Poliprotect has recently been shown to be non-inferior to standard-dose omeprazole for the treatment of endoscopy-negative patients with heartburn and/or epigastric pain or burning. Here, we provide preclinical data describing the mechanism of action of the Poliprotect formulation, a 100% natural, biodegradable, and environmental friendly medical device according to EU 2017/745 and containing UVCB (unknown or variable composition, complex-reaction products, or biological materials) substances of botanical and mineral origin, according to the REACH and European Chemical Agency definitions. Different in vitro assays demonstrated the capability of Poliprotect to adhere to mucus-secreting gastric cells and concomitantly deliver a local barrier with buffering and antioxidant activity. In studies conducted in accordance with systems biology principles, we evaluated the effects of this barrier on human gastric cells exposed to acidic stress. Biological functions identified via Ingenuity Pathway Analysis highlighted the product’s ability to create a microenvironment that supports the mucosal structural and functional integrity, promotes healing, and restores a balanced mucosal inflammatory status. Additionally, transepithelial electrical resistance and an Ussing chamber showed the product’s capability of preserving the integrity of the gastric and esophageal epithelial barriers when exposed to an acid solution. Two in vivo models of erosive gastropathy further highlighted its topical protection against ethanol- and drug-induced mucosal injury. Overall, our findings sustain the feasibility of a paradigm shift in therapeutics R&D by depicting a very innovative and desirable mode of interaction with the human body based on the emerging biophysical, rather than the pharmacological properties of these therapeutic agents.
Hybrid Lanthanide Metal–Organic Compounds with Flavonoids: Magneto-Optical Properties and Biological Activity Profiles
Authors: Matsia Sevasti , Papadopoulos Anastasios , Hatzidimitriou Antonios , Schumacher Lars , Koldemir Aylin , Pöttgen Rainer , Panagiotopoulou Angeliki , Chasapis Christos T. , Salifoglou Athanasios
Published: January 2025

Lanthanides have seen rapid growth in the pharmaceutical and biomedical field, thus necessitating the development of hybrid metal–organic materials capable of exerting defined biological activities. Ternary hybrid lanthanide compounds were synthesized through reaction systems of Ln(III) (Ln = La, Nd, Eu) involving the antioxidant flavonoid chrysin (Chr) and 1,10-phenanhtroline (phen) under solvothermal conditions, thus leading to pure crystalline materials. The so-derived compounds were characterized physicochemically in the solid state through analytical (elemental analysis), spectroscopic (FT-IR, UV-visible, luminescence, ESI-MS, circular dichroism, 151Eu Mössbauer), magnetic susceptibility, and X-ray crystallographic techniques. The analytical and spectroscopic data corroborate the 3D structure of the mononuclear complex assemblies and are in line with theoretical calculations (Bond Valence Sum and Hirshfeld analysis), with their luminescence suggesting quenching on the flavonoid-phen electronic signature. Magnetic susceptibility data suggest potential correlations, which could be envisioned, supporting future functional sensors. At the biological level, the title compounds were investigated for their (a) ability to interact with bovine serum albumin and (b) antibacterial efficacy against Gram(−) (E. coli) and Gram(+) (S. aureus) bacteria, collectively revealing distinctly configured biological profiles and suggesting analogous applications in cellular (patho)physiologies.
Advances in the Regulation of Inflammatory Mediators in Nitric Oxide Synthase: Implications for Disease Modulation and Therapeutic Approaches
Authors: Kim Mi Eun , Lee Jun Sik
Published: January 2025

Nitric oxide synthases (NOS) are crucial enzymes responsible for the production of nitric oxide (NO), a signaling molecule with essential roles in vascular regulation, immune defense, and neurotransmission. The three NOS isoforms, endothelial NOS (eNOS), neuronal NOS (nNOS), and inducible NOS (iNOS), are tightly regulated by inflammatory mediators and cellular signaling pathways. While physiological NO production is vital for maintaining homeostasis, dysregulated NOS activity contributes to the pathogenesis of numerous diseases, including cardiovascular disorders, neurodegenerative conditions, and cancer. Recent advances in understanding the molecular mechanisms of NOS regulation have unveiled novel therapeutic opportunities, including isoform-specific modulators, upstream pathways, and nanotechnology-enhanced delivery systems. This review highlights these advancements, offering insights into how targeting NOS and its regulatory network can enable precise and effective therapeutic strategies for managing inflammation-driven pathologies.
Leveraging Cholesterol-Functionalized Cyclodextrin Nanosponges for Enhanced Drug Delivery in Cancer Cells
Authors: Krabicová Ilona , Khazaei Monfared Yousef , Caldera Fabrizio , Mahmoudian Mohammad , Hobbs Christopher , Santalucia Rosangela , Appleton Silvia Lucia , Matencio Adrián , Zakeri-Milani Parvin , Trotta Francesco
Published: January 2025

Cholesterol, the essential building block of cellular membranes, has proven to be a useful tool for increasing the biocompatibility and bioavailability of drug delivery systems in cancer treatment. Resveratrol, a natural polyphenolic compound with promising anticancer properties, faces significant limitations due to its low solubility and bioavailability, hindering its clinical utility. Therefore, in the present study, we aimed to design cholesterol-functionalized cyclodextrin nanosponges (Chol-NSs) with a tunable cholesterol content to optimize resveratrol encapsulation and delivery. Both formulations, free carbonyl diimidazole (CDI) NSs and functionalized Chol-NSs, demonstrated high drug loading and encapsulation efficiency. In vitro experiments revealed that cholesterol incorporation significantly improved the cellular uptake of nanocarriers and potentiated the cytotoxic effects of resveratrol on breast cancer cells. Importantly, both free CDI NSs and functionalized Chol-NSs, even at varying cholesterol percentages, demonstrated a safe profile against both fibroblast and breast cancer cell lines. These results indicate that cholesterol-functionalized nanosponges represent a promising platform for the effective and safe delivery of natural compounds in cancer therapy.
DynHeter-DTA: Dynamic Heterogeneous Graph Representation for Drug-Target Binding Affinity Prediction
Authors: Li Changli , Li Guangyue
Published: January 2025

In drug development, drug-target affinity (DTA) prediction is a key indicator for assessing the drug’s efficacy and safety. Despite significant progress in deep learning-based affinity prediction approaches in recent years, there are still limitations in capturing the complex interactions between drugs and target receptors. To address this issue, a dynamic heterogeneous graph prediction model, DynHeter-DTA, is proposed in this paper, which fully leverages the complex relationships between drug–drug, protein–protein, and drug–protein interactions, allowing the model to adaptively learn the optimal graph structures. Specifically, (1) in the data processing layer, to better utilize the similarities and interactions between drugs and proteins, the model dynamically adjusts the connection strengths between drug–drug, protein–protein, and drug–protein pairs, constructing a variable heterogeneous graph structure, which significantly improves the model’s expressive power and generalization performance; (2) in the model design layer, considering that the quantity of protein nodes significantly exceeds that of drug nodes, an approach leveraging Graph Isomorphism Networks (GIN) and Self-Attention Graph Pooling (SAGPooling) is proposed to enhance prediction efficiency and accuracy. Comprehensive experiments on the Davis, KIBA, and Human public datasets demonstrate that DynHeter-DTA exceeds the performance of previous models in drug-target interaction forecasting, providing an innovative solution for drug-target affinity prediction.
Advancing Minimally Invasive Cardiac Surgery—Let’s Take a Look into the Future
Authors: Wilbring Manuel
Published: January 2025

The evolution of cardiac surgery over the last two decades has been nothing short of revolutionary [...]
A Novel Medical Device for Airway Clearance
Authors: Helper Nir , Ashkenazi Moshe , Sokol Gil , Dagan Adi , Efrati Ori
Published: January 2025

Background: Airway clearance techniques are a key element in the daily treatment of people with bronchiectasis. There are several methods and devices to assist in effective airway clearance. We investigated LibAirty, a novel medical device, and compared it with the common practice performed today. Methods: Twenty adults enrolled, and each one had three different treatments in a randomized order: a human respiratory physiotherapist, a High-Frequency Chest Wall Oscillator, and LibAirty with BiPAP. The outcome parameters were mucus weight and a questionnaire. Further studies were performed to investigate LibAirty with hypertonic saline (HS) inhalation and using the device as a standalone. Results: No adverse events were recorded. The sputum amount expectorated in all arms using LibAirty was 14.4 ± 11.1 g with BIPAP, 16.4 ± 7 g with HS, and 11.3 ± 4.1 g for the standalone treatment. For HFCWO, 4.45 ± 3.28 g was obtained, and for CPT, 15.9 ± 11.1 g was obtained. The amount obtained by LibAirty (all arms) was significantly higher than HFCWO. Conclusions: All arms of LibAirty were superior to HFCWO and similar to the human physiotherapist. Further studies should be performed to investigate the long-term effects of LibAirty.
Impact of Stress and Anxiety on Cardiovascular Health in Pregnancy: A Scoping Review
Authors: Bernad Brenda-Cristiana , Tomescu Mirela-Cleopatra , Velimirovici Dana Emilia , Andor Minodora , Lungeanu Diana , Enătescu Virgil , Bucur Adina-Ioana , Lascu Ana , Raţă Andreea-Luciana , Bernad Elena Silvia , Nicoraș Vlad , Arnăutu Diana-Aurora , Neda-Stepan Oana , Hogea Lavinia
Published: January 2025

Complex biological processes that enable optimal foetal growth throughout pregnancy are linked to notable haemodynamic and metabolic changes in the mother’s body. An inability to adapt to these changes can affect cardiovascular health. During pregnancy, women may experience mood swings, anxiety, and emotional ambivalence. These symptoms can lead to stress and harm the mental well-being of expectant mothers. It is crucial to know the aspects that can influence the development of cardiovascular problems among pregnant women. Effective management requires identifying risk factors. Applying the PRISMA ScR guidelines, we conducted a scoping review to explore and summarise the evidence regarding the impact of stress and anxiety on cardiovascular health in pregnant women. The following enquiries were looked into as research topics: What effects do anxiety and stress have on a pregnant woman’s cardiovascular health? How is it quantifiable? It is essential to comprehend the physiological changes that the body undergoes throughout pregnancy in order to inform and assist both patients and medical professionals. This makes it possible for them to identify any pathological disorders or risk factors that could worsen the health of expectant mothers. Psychological and cardiovascular risk factor screening, either before or during pregnancy, may be able to uncover circumstances that require specific medical and psychological therapies in order to lower maternal morbidity and death from cardiovascular disease. Our findings underscore the need for systematic psychological and cardiovascular screening during prenatal care to mitigate adverse outcomes and improve maternal–foetal health.
Acceptability and Palatability of Novel Orodispersible Minitablets of Enalapril in Children up to the Age of 6 with Heart Failure
Authors: Lazic Milica , Djukic Milan , Vukomanovic Vladislav , Bijelic Maja , Obarcanin Emina , Bajcetic Milica
Published: January 2025

Background: Angiotensin-converting enzyme inhibitors, such as enalapril, are foundational in treating pediatric heart failure. However, they are often administered off-label to young children using extemporaneous formulations. This study, conducted as part of the EU-funded Labeling of Enalapril from Neonates up to Adolescents (LENA) project, aimed to evaluate the acceptability and palatability of an age-appropriate enalapril orodispersible minitablet (ODMT). These factors are critical for ensuring adherence, efficacy, and safety in pediatric patients. Methods: An 8-week trial was conducted in children with heart failure caused by dilated cardiomyopathy or congenital heart disease. Enalapril ODMTs (0.25 mg or 1.0 mg) were dose-titrated and administered to 38 children aged 0–6 months and 22 children aged 6 months to 6 years. This study aimed to assess its acceptability and palatability, key factors contributing to adherence, and therefore, efficacy and safety. Results: Across all 169 assessments in 38 children aged 0–6 months and 22 aged 6 months to 6 years, complete or partial swallowability was observed, and the acceptability rate was 100%. There were no cases of choking, inhalation/coughing, or spitting out. A favorable or neutral rating was observed in 96% of palatability assessments based on observations of facial expressions. Acceptability and palatability were higher in subjects aged 6 months–6 years than 0–6 months, with no significant influence from repeated administration. Conclusions: Enalapril ODMTs are widely accepted and well-tolerated among young children, including neonates, with heart failure. These findings suggest that ODMTs are a suitable and effective method for administering pediatric medicinal products.
Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD)
Authors: Dadmarzi Fatemeh Hoseini , Ommani Babak , Califano Andrea , Fonseca Nuno , Berthelsen Petter Andreas
Published: January 2025

Mean and slowly varying wave loads on floating offshore wind turbines (FOWTs) need to be estimated accurately for the design of mooring systems. The low-frequency drift forces are underestimated by potential flow theory, especially in steep waves. Viscous forces on columns is an important contributor which could be included by adding the quadratic drag of Morison formulation to the potential flow solution. The drag coefficients in Morison equation can be determined based on an empirical formula, CFD study, or model testing. In the WINDMOOR project, a FOWT support structure, composed of three columns joined at the bottom by pontoons and at the top by deck beams, is studied using CFD. In order to extract the KC-dependent drag coefficients, a series of simulations for the fixed structure in regular waves is performed with the CFD code STAR-CCM+. In this study, the forces along each column of the FOWT are analyzed using the results of CFD as well as potential flow simulations. The hydrodynamic interactions between the columns are addressed. A methodology is proposed to process the CFD results of forces on the columns and extract the contribution of viscous effects. Limitations of the Morison drag model to represent extracted viscous forces in steep waves are investigated. The obtained drag coefficients are compared with the available data in the literature. It is shown that accounting for potential flow interactions and nonlinear flow kinematics could, to a large degree, explain the previously reported differences between drag coefficients for a column in waves. Moreover, it is shown that the proposed model can capture the contribution of viscous effects to mean drift forces for fixed columns in waves.
Geohazard Plugin: A QGIS Plugin for the Preliminary Analysis of Landslides at Medium–Small Scale
Authors: Castelli Marta , Filipello Andrea , Fasciano Claudio , Torsello Giulia , Campus Stefano , Pispico Rocco
Published: January 2025

Landslides are a major global threat, endangering lives, infrastructure, and economies. This paper introduces the Geohazard plugin, an open-source tool for QGIS, designed to support medium–small-scale landslide analysis and management. The plugin integrates several algorithms, including the Groundmotion–C index for evaluating SAR data reliability, Landslide–Shalstab for assessing shallow landslide susceptibility, and Rockfall–Droka for estimating rockfall invasion areas and the rockfall relative (spatial) hazard. An application example is provided for each module to facilitate validation and discussion. A case study from the Western Italian Alps highlights the practical application of the Rockfall–Droka modules, showcasing their potential to identify critical zones by integrating the results on affected areas, process intensity, and preferential paths. Emphasis is given to the calibration of model parameters, a critical aspect of the analysis, achieved through a back-analysis of a rockfall event that occurred in June 2024. The Geohazard plugin streamlines geohazard assessments, providing land managers with actionable insights for decision-making and risk mitigation strategies. This user-friendly GIS tool contributes to enhancing resilience in landslide-prone regions.
Interpretation of Heritage in Mountain Areas (Leitariegos and Cueto Arbás (Asturias, Spain)) Through Experience Based on Virtual Reality
Authors: Herrera Daniel , Rodríguez Carmen , Sevilla Juan
Published: January 2025

Virtual Reality (VR) has emerged as an effective technology for the dissemination of geographical knowledge due to its visual, interactive, and dynamic nature. This technology allows for adequate valorization of the territorial attributes of marginal mountain areas undergoing tertiarization processes, as it provides suggestive experiences of approach, discovery, and interpretation. All of this should result in the fortification of the conservation process against the expansion of new uses that impact the inherited landscape. In this work, the aim was to design a VR experience for the interpretation of mountains that can be used by public and private entities as a strategy for differentiation in the context of positioning for territorial development. The study area covers the mountain pass of Leitariegos and the Cueto Arbás massif (a mountain in the west of Asturias and León, Northwestern Spain), which make up a geographical unit with ecological, aesthetic, ethnographic, and historical importance. Using a VR tool, we sought to enhance the identification and interpretation of the keys that lead to the initiation and consolidation of the patrimonialization process, uncovering the processes and agents through their practices, the vectors around which the process pivots, and the conflicts in the competition for land use.
Experimental Analysis on the Hysteresis Phenomenon in the Range of Subsynchronous Frequency as a Function of Oil Temperature with Regard to Turbochargers
Authors: Pesthy Márk , Fekete Gusztáv , Boros Máté , Tóth-Nagy Csaba
Published: January 2025

This study presents an experimental analysis of a turbocharger with semi-floating ring bearings, focusing on hysteresis in subsynchronous vibrations. Four automotive oils (SAE 0W-20, SAE 0W-30, SAE 5W-30, SAE 5W-40) were tested across six oil inlet temperatures from 20 °C to 120 °C during ramp-up and ramp-down cycles to examine the effects of lubricant viscosity and temperature on rotor dynamics. Hysteresis and bifurcation points were observed at distinct rotational speeds in both directions, with subsynchronous components providing insights into rotor–lubrication interactions. This study applies the concept of hysteresis loop width for turbocharger rotors, highlighting its nonlinear dependence on oil temperature, an unexpected and unexplained phenomenon. Additionally, the results suggest that vibration sensors could provide real-time feedback on oil supply conditions, offering potential enhancements for turbochargers and other rotating machinery.
Review on Key Development of Magnetic Bearings
Authors: Wu Tong , Zhang Weiyu
Published: January 2025

A magnetic suspension bearing is a device that suspends the rotating shaft in a balanced position by magnetic force, thereby eliminating the friction between the rotor and the stator. Different from traditional bearing support methods, magnetic bearings show significant advantages in terms of speed, accuracy, and loss. Because there is no contact, magnetic bearings enable high-speed operation, precise control, and zero friction. Magnetic bearings, with their excellent performance, are widely applied in fields such as industrial production, flywheel energy storage, and aerospace. However, with the continuous growth of the demand for high-performance bearings and the deepening of the concept of low-carbon and environmental protection, breakthroughs in the key technologies of magnetic bearings are urgently needed. In this paper, relevant research on magnetic bearings is summarized. Magnetic bearings are classified according to the different ways in which they generate suspension forces. Research on the topological structure design, mathematical modeling, and control strategies of the magnetic bearing system is covered. The aim is to provide readers and researchers with a comprehensive overview of the key technologies of magnetic bearings from a new perspective.
Metric Dimensions of Metric Spaces over Vector Groups
Authors: Lei Yiming , Wang Zhongrui , Dai Bing
Published: January 2025

Let (X,ρ) be a metric space. A subset A of X resolves X if every point x∈X is uniquely identified by the distances ρ(x,a) for all a∈A. The metric dimension of (X,ρ) is the minimum integer k for which a set A of cardinality k resolves X. We consider the metric spaces of Cayley graphs of vector groups over Z. It was shown that for any generating set S of Z, the metric dimension of the metric space X=X(Z,S) is, at most, 2maxS. Thus, X=X(Z,S) can be resolved by a finite set. Let n∈N with n≥2. We show that for any finite generating set S of Zn, the metric space X=X(Zn,S) cannot be resolved by a finite set.
Enhanced Recovery of Food-Grade Euglena gracilis Biomass Through Synergistic pH-Modified Chitosan Flocculation and Green Light Stimulation
Authors: Zhu Jiangyu , Yang Lan , Ding Li , Yang Zhengfei , Yin Yongqi , Wakisaka Minato , Ashouri Shahram , Jazini Mohammadhadi , Fang Weiming
Published: January 2025

The efficient and cost-effective harvesting of food-grade Euglena gracilis remains a critical challenge in microalgal food production. This study presents an innovative, food-safe approach integrating pH preconditioning, chitosan biopolymer flocculation, and green light irradiation to leverage E. gracilis’ natural phototactic behavior. Response surface methodology optimized the parameters (pH 6.49, 46.10 mg·L−1 chitosan, and 60 min green light), achieving 93.07% biomass recovery, closely matching the predicted 92.21%. The synergistic effects of pH-modified chitosan flocculation and phototaxis significantly enhanced the harvesting efficiency compared to conventional methods. Notably, harvested cells maintained substantial photosynthetic capability, as evidenced by chlorophyll fluorescence analysis, ensuring the preservation of nutritional quality. Economic analysis revealed exceptional harvesting cost-effectiveness at 2.35 USD per kg of dry weight biomass harvested. The method’s use of food-grade chitosan and non-invasive light stimulation ensures product safety while minimizing the environmental impact. This sustainable and economical approach offers a promising solution for industrial-scale production of food-grade E. gracilis while demonstrating potential applicability to other phototactic microalgae species.
High Spatial but Low Temporal Variability in Ectomycorrhizal Community Composition in Abies alba Forest Stands
Authors: Unuk Nahberger Tina , Kraigher Hojka , Grebenc Tine
Published: January 2025

The ectomycorrhizal symbionts of silver fir have rarely been analyzed and identified, so little is known about their diversity and distribution. The aim of this study was (1) to analyze the diversity of ectomycorrhizal fungal species in three geographically distinct forest stands of Abies alba and (2) to demonstrate the high temporal variability of the ectomycorrhizal community over two consecutive growing seasons using repeated monthly sampling. Root samples were taken every month during two growing seasons in three silver fir-dominated forest stands. The ectomycorrhizal root tips were first assigned to a morphotype based on morphological characteristics and then identified by sequencing the internal transcribed spacer region. Alpha and beta diversity differed significantly between all three study sites, with the most diverse and even ectomycorrhizal community described in plot Jelovški boršt. The diversity indices over the growing season were different at two of the three study sites, supporting the idea of a fluctuation of ectomycorrhizal taxa during the growing seasons of the two consecutive years. While significant temporal variability was only confirmed for certain ectomycorrhizal taxa, there were no significant changes in the ectomycorrhizal community in general. Thus, we confirmed the high spatial but low temporal variability of the ectomycorrhizal community associated with silver fir.
Affinity Ultrafiltration Mass Spectrometry for Screening Active Ingredients in Traditional Chinese Medicine: A Review of the Past Decade (2014–2024)
Authors: He Yuqi , Zhao Xinyan , Yu Muze , Yang Di , Chen Lian , Tang Ce , Zhang Yi
Published: January 2025

Discovering targets in natural products is a critical and challenging task in new drug development. Rapid and efficient screening of active ingredients from complex systems like traditional Chinese medicine (TCM) is now crucial in drug research. Affinity ultrafiltration (AUF) technology is widely used to screen active ingredients in natural medicines. AUF-liquid chromatography–mass spectrometry (AUF-LC-MS) leverages the affinity between natural medicine extracts and targets to isolate active ingredients from complex matrices, employing LC-MS for detection and activity assessment. This review discusses the developments in employing AUF-LC-MS to analyze TCM and TCM compound preparations over the last decade. This review succinctly presents the advantages and limitations of AUF-LC-MS, illustrating its benefits through the example of screening for active ingredients in natural pharmaceuticals.
Allelic Analysis of the Gli-B1 Locus in Hexaploid Wheat Using Reverse-Phase–Ultra-Performance Liquid Chromatography
Authors: Lee Jong-Yeol , Yang Yu-Jeong , So Jinpyo , Kim Sewon , Cho Kyoungwon
Published: January 2025

Wheat (Triticum aestivum L.) omega-5 gliadin, a major allergen responsible for wheat-dependent exercise-induced anaphylaxis in humans, is encoded by genes located at the Gli-B1 locus on chromosome 1B, which exhibits genetic polymorphism. Gli-B1 alleles have generally been identified based on the electrophoretic mobilities of the encoded gamma-, omega-1,2, and omega-5 gliadins in acid polyacrylamide gel electrophoresis. However, the similar mobilities of omega-5 gliadin variants make it difficult to distinguish them among different wheat varieties. In this study, we optimized reverse-phase–ultra-performance liquid chromatography (RP-UPLC) conditions to separate omega-5 gliadins in the reference wheat cultivar Chinese Spring and its nullisomic–tetrasomic lines for chromosome 1B. Five chromatographic peaks corresponded to omega-5 gliadin, and the average relative standard deviation to each peak retention time ranged from 0.31% to 0.93%, indicating that the method is accurate and reproducible for fractionating omega-5 gliadins in gliadin extracts from wheat flour. Using the optimized RP-UPLC method, we analyzed omega-5 gliadins in 24 wheat varieties with the Gli-B1f allele. The result showed that the wheat varieties were sorted into eight groups according to the composition of omega-5 gliadin, indicating that the classification of Gli-B1 alleles based on A-PAGE could not explain the composition of omega-5 gliadin in wheat. We reclassified 73 wheat varieties containing 16 unique Gli-B1 alleles into 31 groups based on the chromatographic patterns of their omega-5 gliadins. Our results provide information on the specific Gli-B1 alleles of wheat varieties belonging to each group and demonstrate the potential for RP-UPLC to facilitate genetic studies of wheat varieties.
Spent Coffee Grounds as a Source of Chlorogenic Acid
Authors: Pyrzynska Krystyna
Published: January 2025

Spent coffee grounds generated from the brewing of coffee cherries are rich in chlorogenic acids that are associated, to a certain extent, with a delay in the development of various chronic diseases and age-related disorders. These natural antioxidants are applied in the pharmaceutical, cosmetic, and food industries. This brief overview describes recently proposed procedures for the extraction and recovery of chlorogenic acids from spent coffee grounds, which is a low-cost and easily accessible by-product. Solvent selection and temperature control seem to be the main factors due to the thermolabile nature of these compounds. Advanced extraction technologies are generally faster and enhance extraction efficiency. Procedures for the valorization of coffee waste are the goal of a sustainable and circular bioeconomy that seeks to increase their added benefits and reduce environmental pollution.
Fermented Houttuynia cordata Juice Exerts Cardioprotective Effects by Alleviating Cardiac Inflammation and Apoptosis in Rats with Lipopolysaccharide-Induced Sepsis
Authors: Sumneang Natticha , Kobroob Anongporn , Phungphong Sukanya , Boonhoh Worakan , Punsawad Chuchard , Kangwan Napapan
Published: January 2025

Background/Objectives: Sepsis-induced cardiac dysfunction is a major problem that often leads to severe complications and a poor prognosis. Despite the growing awareness of its impact, effective treatment options for sepsis-induced cardiac dysfunction remain limited. To date, fermented products of Houttuynia cordata (HC), known for its rich bioactive properties, have shown potential in modulating inflammatory and oxidative stress pathways. However, treatment with fermented HC juice (FHJ) in lipopolysaccharide (LPS)-induced sepsis in rats has not been investigated. Methods: Rats were pretreated with FHJ at doses of 200 mg/kg and 400 mg/kg for 2 weeks. After that, the rats were injected with a single dose of LPS (10 mg/kg), and 12 h after injection, they developed sepsis-induced cardiac dysfunction. Then, cardiac function, oxidative stress, inflammation, apoptosis, and cardiac injury markers were determined. Results: Pretreatment with FHJ at doses of 200 mg/kg and 400 mg/kg prevented LPS-induced cardiac dysfunction in rats by attenuating cardiac inflammation (IL-1β, TLR-4, and NF-κB levels), oxidative stress (MDA levels), and apoptosis (cleaved-caspase 3 and Bax/Bcl-2 expression) and reducing markers of cardiac injury (LDH and CK-MB levels). Conclusions: These results suggest that FHJ could be a potential therapeutic agent for sepsis-induced heart disease.
Analysis of 26 Studies of the Impact of Coconut Oil on Lipid Parameters: Beyond Total and LDL Cholesterol
Authors: Newport Mary T. , Dayrit Fabian M.
Published: January 2025

Coconut oil (CNO) is often characterized as an “artery-clogging fat” because it is a predominantly saturated fat that ostensibly raises total cholesterol (TChol) and LDL cholesterol (LDL-C). Whereas previous analyses assessed CNO based on the relative effects on lipid parameters against other fats and oils, this analysis focuses on the effects of CNO itself. Here, we review the literature on CNO and analyze 984 lipid profile data sets from 26 CNO studies conducted over the past 40 years. This analysis shows considerable heterogeneity among CNO studies regarding participant selection, the amount consumed, and the study duration. The analysis reveals that, overall, CNO consumption gives variable TChol and LDL-C values, but that the HDL-cholesterol (HDL-C) values increase and triglycerides (TG) decrease. This holistic lipid assessment, together with the consideration of lipid ratios, shows that CNO does not pose a health risk for heart disease. Because the predominantly medium-chain fatty acid profile of CNO is significantly different from that of lard and palm oil, studies using these as reference materials do not apply to CNO. This paper concludes that the recommendation to avoid consuming coconut oil due to the risk of heart disease is not justified.
Nut Consumption Is Associated with Cognitive Status in Southern Italian Adults
Authors: Godos Justyna , Giampieri Francesca , Frias-Toral Evelyn , Zambrano-Villacres Raynier , Vistorte Angel Olider Rojas , Yélamos Torres Vanessa , Battino Maurizio , Galvano Fabio , Castellano Sabrina , Grosso Giuseppe
Published: January 2025

Background: Nut consumption has been considered a potential protective factor against cognitive decline. The aim of this study was to test whether higher total and specific nut intake was associated with better cognitive status in a sample of older Italian adults. Methods: A cross-sectional analysis on 883 older adults (>50 y) was conducted. A 110-item food frequency questionnaire was used to collect information on the consumption of various types of nuts. The Short Portable Mental Status Questionnaire was used to assess cognitive status. Multivariate logistic regression analyses were performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between nut intake and cognitive status after adjusting for potential confounding factors. Results: The median intake of total nuts was 11.7 g/day and served as a cut-off to categorize low and high consumers (mean intake 4.3 g/day vs. 39.7 g/day, respectively). Higher total nut intake was significantly associated with a lower prevalence of impaired cognitive status among older individuals (OR = 0.35, CI 95%: 0.15, 0.84) after adjusting for potential confounding factors. Notably, this association remained significant after additional adjustment for adherence to the Mediterranean dietary pattern as an indicator of diet quality, (OR = 0.32, CI 95%: 0.13, 0.77). No significant associations were found between cognitive status and specific types of nuts. Conclusions: Habitual nut intake is associated with better cognitive status in older adults.
An Update on Vaccines Against Trypanosoma cruzi and Chagas Disease
Authors: Garg Nisha J.
Published: January 2025

Chagas disease (CD) is a global health concern, with no existing therapies to prophylactically treat adults traveling to endemic countries or those who may already be infected with Trypanosoma cruzi. The economic burden of Chagas cardiomyopathy and heart failure, due to healthcare costs and lost productivity from premature deaths, provides a strong rationale for investment in the development of immune therapies against CD. Vaccine efficacy is proposed to depend heavily on the induction of a robust Th1 response for the clearance of intracellular pathogens like T. cruzi. In this review, updated information on the efforts for vaccine development against CD is provided.
Exploring the Potential of Gold Nanoparticles in Proton Therapy: Mechanisms, Advances, and Clinical Horizons
Authors: Carbone Giorgio Giuseppe , Mariano Stefania , Gabriele Alessandra , Cennamo Sabrina , Primiceri Vitantonio , Aziz Muhammad Rizwan , Panzarini Elisa , Calcagnile Lucio
Published: January 2025

Proton therapy represents a groundbreaking advancement in cancer radiotherapy, leveraging the unique spatial energy distribution of protons to deliver precise, high-dose radiation to tumors while sparing surrounding healthy tissues. Despite its clinical success, proton therapy faces challenges in optimizing its therapeutic precision and efficacy. Recent research has highlighted the potential of gold nanoparticles to enhance proton therapy outcomes. Due to their high atomic number and favorable biological properties, gold nanoparticles act as radiosensitizers by amplifying the generation of secondary electrons and reactive oxygen species upon proton irradiation. This enhances DNA damage in tumor cells while preserving healthy tissues. Additionally, functionalization of gold nanoparticles with tumor-targeting ligands offers improved precision, making proton therapy more effective against a broader range of cancers. This review synthesizes current knowledge on the mechanisms of gold nanoparticle radiosensitization, preclinical evidence, and the technological hurdles that must be addressed to integrate this promising approach into clinical practice, aiming to advance the efficacy and accessibility of proton therapy in cancer therapy.
Determination of the Effective Lifetime of a Spinor Bose–Einstein Condensate
Authors: Wang Xin , Qin Yong , Jian Jun , Liu Wenliang , Wu Jizhou , Li Yuqing , Sovkov Vladimir , Ma Jie
Published: January 2025

The effective lifetime of ultra-cold atoms in specific quantum states plays a crucial role in studying interaction parameters within quantum systems. Measuring the effective lifetime of various quantum states within ultra-cold atoms is a fundamental task in quantum operations. In this paper, the effective lifetimes of the excited electronic states F=2,mF=−2, F=2,mF=−1, and F=2,mF=0 for a sodium atomic Bose–Einstein condensate (BEC) are investigated in both the optical dipole trap (ODT) and one-dimensional optical lattice. Through the analysis of experimental data, we demonstrate the significant advantage of lattice loading over the optical dipole trap in terms of atomic lifetimes. The results provide crucial insights into the temporal scales relevant for investigating the evolution of boson gases in optical lattices, facilitating the realization of quantum simulations pertaining to unique quantum phases, and providing an important experimental basis for the research of non-equilibrium dynamics between different spin states.