bluuebunny/crossref_metadata_2025 huggingface dataset:
Geochemical and Thermodynamic Study of Formation Water for Reservoir Management in Bibi Hakimeh Oil and Gas Field, Iran
Authors: Hashemi Seyed Hossein , Torghabeh Amir Karimian , Niknam Abbas , Hashemi Seyed Abdolrasoul , Gharaie Mohamad Hosein Mahmudy , Pimentel Nuno
Published: February 2025

This research evaluates the mineral ions and their concentrations in formation water from five well samples of the Bibi Hakimeh oil field (Iran). The analysis reveals the presence of calcium (Ca2+), sodium (Na+), and magnesium (Mg2+) cations, as well as sulfate (SO42−), bicarbonate (HCO3−), and chloride (Cl−) anions, which are soluble in water within the Bibi Hakimeh oil formation. Furthermore, mineral deposits of CaSO4, CaSO4.2H2O, CaCO3, and MgCO3 are investigated and predicted using StimCADE 2 software. The findings highlight the significant chemical precipitation of calcium sulfate and calcium carbonate mineral deposits under the operating conditions of the Bibi Hakimeh oil well. The geochemical composition of the formation waters is discussed to understand the equilibrium conditions and possible influence of the physical parameters. Additionally, this study examines the interaction between rock and water of the Bibi Hakimeh formation, revealing a notable correlation between the concentration of calcium and magnesium ions and the water–rock reaction in this field.
Antidiabetic Medicines Utilisation During Pre-Pandemic, Pandemic and Post-Pandemic Period of COVID-19—Data for Bulgarian Population
Authors: Mitkova Zornitsa , Stanimirova Desislava , Manova Miglena , Gerasimov Nikolay , Mitov Konstantin , Petrova Guenka
Published: February 2025

Background: Type 2 diabetes is a chronic disease with high global prevalence and significant social and economic burden. The pandemic affected patients’ diagnostics and medicines dispensing. Diabetes was among the most-affected conditions during lockdown due to the limited resources and unaffordable medicines. The impact of the pandemic on utilisation and cost has not been thoroughly studied, which inspired us to conduct the current study. Objectives: The study explored cost dynamics, changes in antidiabetic medicines utilisation, and public expenditure of pharmacotherapy in three periods: pre-pandemic (2018–2019), during the pandemic (2020–2021), and post-pandemic (2022–2023). Methods: It is a retrospective, observational, macroeconomic analysis. Reimbursed cost and utilisation were analysed as a crude sum and as indexes of the average value. Results: The result shows that five new INNs have been included in the Positive Medicines List (PML), two of these being fixed dose combinations (FDCs). During the pandemic, a slow tendency of increase of the crude sum of public expenditure was observed, followed by a sharp increase in the post-pandemic period. The public spending increased more than twice, and we found a 30,018,982 Euro growth. The highest public spending is found for dapagliflozine in post-pandemic vs. pandemic period (index = 1.67), as well as empagliflozin/metformin and dapagliflozine in pandemic vs. pre-pandemic period (index = 0.21). Total utilisation increases from 58.16 to 71.78 DDD/1000 inh/day during 2018–2023. The most significant rise of utilisation is found for canagliflozin (index = 0.68) pandemic vs. pre-pandemic and dapagliflozin (index = 3.66) post-pandemic vs. pandemic. Conclusions: Analysis of the antidiabetic medicines market reveals the rising of reimbursed cost and utilisation in pre-, post-, and during the pandemic. In conclusion, organisation of the supply and financing of antidiabetic medicines was not affected during the pandemic.
Impact of Biochar and Hydroretentive Polymers on the Biochemical and Physiological Traits of Satureja rechingeri Jamzad Under Water Deficit Stress
Authors: Beiranvandi Mojgan , Akbari Nasser , Ahmadi Abdolreza , Mumivand Hasan , Nazarian Firouzabadi Farhad , Argento Sergio
Published: February 2025

Satureja rechingeri is a valuable medicinal plant, but its growth can be significantly impacted by water deficit stress. To investigate the effects of biochar (BC) and hydroretentive polymers (HPs) on various eco-physiological traits of savory under a water deficit, an experiment was conducted over two consecutive cropping seasons (2017–2019). A randomized complete block design with a split-plot factorial arrangement and three replications was used. The treatments consisted of three levels of irrigation (95 ± 5, 75 ± 5, and 55 ± 5% FC), which were applied to the main plots, and combinations of two levels of biochar and two levels of HPs, which were applied to subplots. The results show that a water deficit reduced the relative water content (RWC), chlorophyll content, and dry matter yield of the shoots. Furthermore, the activity of catalase (CAT), peroxidase (POD), ascorbate peroxidase (APX), and malondialdehyde (MDA) increased in two-year-old plants. The MDA content significantly decreased by 15.6% in the second year compared to in the first year under a water deficit. The application of HPs caused a decrease of 26.4%, 32.5%, and 27.5% in POD, CAT, and APX enzyme activities, respectively, compared to their control levels. In the biochar treatment, there was a significant reduction in the activity of POD, APX, and CAT in the leaves.
“My Health Is More Important than Drinking”: A Qualitative Analysis of Alcohol Use During COVID-19
Authors: Munroe Cat , Surace Anthony , Martinez Priscilla
Published: February 2025

(1) Background: Although alcohol use increased overall in the US during the COVID-19 pandemic, approximately 16% of people decreased their drinking. Understanding reasons for decreasing or discontinuing alcohol use during a time of crisis could inform alcohol messaging during future crises. (2) Methods: We conducted hour-long interviews with 26 participants who reported drinking above NIAAA guidelines at the second wave of the National Alcohol Survey COVID Cohort (a longitudinal study of alcohol use during the COVID-19 pandemic). Data were analyzed using codebook thematic analysis. (3) Results: Many participants reported decreasing use after a period of heavy drinking. Four themes emerged as reasons for doing so: (1) health conditions attributed to or worsened by drinking, (2) concerns about developing the same alcohol problems as a family member, (3) life demands and transitions that limited drinking opportunities, and (4) disliking the side- and after-effects of drinking (e.g., hangovers). (4) Conclusions: Concerns about negative health consequences from heavy alcohol use and limited opportunities to use alcohol due to competing life demands were salient reasons for reducing or abstaining from alcohol use during COVID-19. Incorporating themes about health and life obligations into messaging to reduce alcohol use during crises may improve message relevance.
Development and Validation of a Fast and Sensitive UPLC-MS/MS Method for Ethyl Glucuronide (EtG) in Hair, Application to Real Cases and Comparison with Carbohydrate-Deficient Transferrin (CDT) in Serum
Authors: Romani Leonardo , Mannocchi Giulio , Mineo Federico , Vernich Francesca , Stefani Lucrezia , Marsella Luigi Tonino , Tittarelli Roberta
Published: February 2025

Alcohol is responsible for an ever-increasing number of deaths worldwide, and many road accidents are caused by irresponsible drinking and driving. The use of biomarkers that can support a diagnosis of alcohol abuse is a very important tool that can improve the prevention of many alcohol-related diseases and serious traffic accidents. The main aim of our study was the full validation of a rapid and simple method by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to detect ethyl glucuronide in hair (hEtG). The method was successfully applied to n = 171 real hair samples collected from drivers convicted of driving while impaired by alcohol or drugs. A comparison of hEtG and serum Carbohydrate-Deficient Transferrin percentages (% CDT) was also performed to carefully evaluate the data in relation to the specific detection windows of the two different biomarkers. Most of the drivers with hEtG > 30 pg/mg were males in their thirties. None of the hEtG-positives had a serum % CDT above the cutoff (≥2%). Although some researchers suggest caution until solid data are available on the possible effects of interindividual variability that may influence EtG incorporation and metabolism, hEtG is a very useful biomarker of long-term alcohol exposure that shows greater reliability than traditional blood markers.
Digital Microfluidic Droplet Path Planning Based on Improved Genetic Algorithm
Authors: Luo Zhijie , Long Wufa , Chen Rui , Wu Jianhao , Huang Aiqing , Zheng Jianhua
Published: February 2025

In practical applications of droplet actuation using digital microfluidic (DMF) systems based on electrowetting-on-dielectric (EWOD), various electrode failures can still arise due to diverse operational conditions. To improve droplet transport efficiency, this study proposes a heuristic-elite genetic algorithm (HEGA) for droplet path planning. We introduce a heuristic method and a bidirectional elite fragment recombination method to address the challenge of poor initialization quality in genetic algorithms, particularly in complex environments. These approaches aim to enhance the global search capability and accelerate the algorithm’s convergence. Simulations were performed using MATLAB, and the results indicate that compared to the basic ant colony algorithm, the proposed method reduces the average number of turning points by approximately 17.23% and the average search time by about 92.60%. In multi-droplet transport applications, the algorithm generates optimal paths for test droplets while maintaining fast convergence. Additionally, it effectively prevents droplets from accidentally contacting or merging in non-synthesis areas, ensuring improved testing outcomes for the chip.
Using Insect Larvae and Their Microbiota for Plastic Degradation
Authors: Vital-Vilchis Isabel , Karunakaran Esther
Published: February 2025

Plastic pollution is one of the biggest current global threats to the environment given that petroleum-based plastic is recalcitrant and can stay in the environment for decades, even centuries, depending on the specific plastic type. Since less than 10% of all plastic made is recycled, and the other solutions (such as incineration or landfill storage) are pollutant methods, new, environmentally friendly solutions are needed. In this regard, the latest biotechnological discovery on this topic is the capability of insect larvae to use plastic polymers as carbon feedstock. This present review describes the most relevant information on the insect larvae capable of degrading plastic, mainly Galleria mellonella (Fabricius, 1798), Tenebrio molitor (Linnaeus, 1758), and Zophobas atratus (Fabricius, 1776), and also adds new information about other less commonly studied “plastivore” insects such as termites. This review covers the literature from the very first work describing plastic degradation by larvae published in 2014 all the way to the very latest research available (till June 2024), focusing on the identification of a wide variety of plastic-degrading microorganisms isolated from larvae guts and on the understanding of the potential molecular mechanisms present for degradation to take place. It also describes the latest discoveries, which include the identification of novel enzymes from waxworm saliva.
Long-Term Results in Minimally Invasive Non-Resectional Mitral Valve Repair for Barlow Mitral Valve Disease
Authors: Koch Nicola , Chiappini Jonas , Ihringer Lisa , Caracioni Andrei , Salikhanov Islam , Gahl Brigitta , Berdajs Denis
Published: February 2025

Objective: The aim was to assess the long-term outcomes, safety, and durability of total endoscopic mitral valve repair for Barlow mitral valve disease. Methods: A retrospective analysis of 98 patients undergoing minimal invasive total endoscopic mitral valve repair for Barlow mitral valve disease was conducted between May 2009 and December 2023. A non-resectional repair approach using artificial neochordae and/or ring annuloplasty was performed. Clinical and echocardiographic follow-ups were completed. Rates per patient-years with 95% confidence intervals (CI) for all time-to-event outcomes were calculated. Results: The mean age was 59 ± 12, and 43% were female. Minimally invasive mitral valve repair was successfully performed in all 98 patients with no conversions to sternotomy or mitral valve replacement. There was no mitral valve-related reoperation during the hospital stay. Procedural safety was as follows: no in-hospital mortality, no stroke, and no perioperative myocardial infarction. The mean follow-up was 4.1 ± 3.1 years. Survival at seven years was 87% (95% CI 63% to 96%). Freedom from myocardial infarction, stroke, and congestive heart failure was 89% (95% CI 60% to 97%), 93% (95% CI 82% to 97%), and 100%, respectively. Recurrent mitral valve insufficiency at Grade ≥ 2 was diagnosed in n = 4 (4.1%) of cases. Conclusions: Minimally invasive mitral valve repair using a non-resectional technique for Barlow disease can be performed with a low complication rate. The total endoscopic approach is safe in the long term, with minimal risk of reoperation and recurrent mitral valve insufficiency.
A Pilot Study to Evaluate an International Normalized Ratio-Derived Formula in Combination with Heparin-Calibrated Anti-Xa Activity in Calculating a Plasma Edoxaban Level
Authors: Sin Chun-Fung , Chan Pui-Yee , Hoo Yi-Teng , Yuen Wang-Ho , Wong Hoi-Ching
Published: February 2025

Introduction: A drug-specific chromogenic assay is not immediately available, so it hampers the treatment of patients who present in a clinical emergency. In this pilot study, we aimed to create a formula to predict a plasma edoxaban level based on the international normalized ratio (INR) and heparin-calibrated anti-Xa activity and derive a novel workflow for routine laboratory diagnosis. Method: Forty-two patients prescribed edoxaban were recruited and randomized to a testing or validation cohort. Plasma levels from the testing cohort were used to create a prediction formula that was then validated in a validation cohort and real-world clinical requests. Results: The INR-derived formula had high sensitivity (95.8–100%) to predict the plasma edoxaban level > 50 ng/mL and >100 ng/mL but with low specificity. However, the specificity of predicting the plasma edoxaban level of ≥100 ng/mL was 100% by using an INR ≥ 1.5 as cut-off. Heparin-calibrated anti-Xa-derived formula had a high sensitivity (90.9–100%) and specificity (93.8–100%) in real clinical situations. A two-tier approach of combining INR-derived and heparin-calibrated anti-Xa-derived formulae can overcome the low specificity and utilize the advantages of wide availability and a short turnaround time of the INR-derived formula. Conclusions: Both INR-derived and heparin-calibrated anti-Xa-derived formulae can be applied to calculate the plasma edoxaban level. A two-tier workflow of combining these two formulae greatly helps streamline the treatment of patients prescribed edoxaban who present in a clinical emergency. Adoption of this framework is feasible for routine diagnostic laboratories.
Differences in Artificial Intelligence-Based Macular Fluid Parameters Between Clinical Stages of Diabetic Macular Edema and Their Relationship with Visual Acuity
Authors: Mitamura Mizuho , Saito Michiyuki , Hirooka Kiriko , Dong Zhenyu , Ando Ryo , Kase Satoru , Ishida Susumu
Published: February 2025

Background/Objectives: The aim of this study was to determine artificial intelligence-based macular fluid (MF) parameters in diabetic macular edema (DME) with optical coherence tomography (OCT) and examine stage-by-stage differences in MF parameters and their relationship with best-corrected visual acuity (BCVA). Methods: This study enrolled 104 eyes with treatment-naïve DME. Intraretinal fluid (IRF) and subretinal fluid (SRF) were detected in horizontal OCT images based on the “Hokkaido University MF segmentation model” when DME was first observed together with BCVA testing. The MF area, the mean brightness, and the variance of brightness were compared between mild or moderate non-proliferative diabetic retinopathy (mNPDR, n = 33), severe NPDR (sNPDR, n = 52), and PDR eyes (n = 19). Correlations between logMAR BCVA and MF parameters were also examined. Results: All the MF parameters tended to increase with DR stages. Especially, the mean brightness of IRF was significantly greater in PDR than in mNPDR. The variance of brightness of IRF increased in sNPDR compared to mNPDR, whereas that of SRF increased in PDR compared to sNPDR. LogMAR BCVA showed positive correlations with MF areas and the variance of brightness of SRF. Conclusions: The qualitative and quantitative MF parameters may be useful for better understanding DME pathogenesis according to DR progression.
Reversal of Direct Oral Anticoagulants (DOACs) for Critical Bleeding or Urgent Procedures
Authors: Goldin Mark , Tsaftaridis Nikolaos , Jnani Jack , Spyropoulos Alex C.
Published: February 2025

The advent of direct-acting oral anticoagulants (DOACs) has transformed the care of patients requiring prevention and treatment for thrombotic disease. Many randomized clinical trials have demonstrated the efficacy and safety of these agents and their comparative advantages over conventional anticoagulants such as vitamin K antagonists (VKAs). While historically clinicians and patients raised questions about the reversal of DOAC-associated bleeding, federal approval in recent years of targeted DOAC reversal agents, along with adjunctive modalities, has given clinicians reliable pharmacologic options. Yet, optimal reversal strategies for bleeding at specific anatomic locations and in specific clinical scenarios remains uncertain. We present here a narrative review of the literature on the reversal of DOAC-associated bleeding or for urgent procedures. The totality of the reversal literature synthesized here yields several clear conclusions: (1) targeted DOAC reversal with specific agents demonstrates superior efficacy for both bleeding and urgent surgical indications when compared to the use of non-specific agents, such as prothrombin complex concentrates (PCCs); (2) at the same time, high-quality data suggest potentially increased thrombotic risks, particularly for ischemic stroke, when using the specific targeted agent andexanet; (3) in all cases of life-threatening bleeding, timely reversal is of the essence; (4) in particular, there is growing consensus that DOAC-associated intracranial hemorrhage (ICH) should be reversed promptly, with a goal door-to-reversal time of 60 min; (5) future research will focus on optimizing clinical pathways for reversal to address “calls to action” from professional groups on this critical topic.
A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning
Authors: Schaller Thibaud , Li Jun , Jenkins Karl W.
Published: February 2025

Regular aircraft engine inspections play a crucial role in aviation safety. However, traditional inspections are often performed manually, relying heavily on the judgment and experience of operators. This paper presents a data-driven deep learning framework capable of automatically detecting defects on reactor blades. Specifically, this study develops Deep Neural Network models to detect defects in borescope images using various datasets, based on Computer Vision and YOLOv8n object detection techniques. Firstly, reactor blade images are collected from public resources and then annotated and preprocessed into different groups based on Computer Vision techniques. In addition, synthetic images are generated using Deep Convolutional Generative Adversarial Networks and a manual data augmentation approach by randomly pasting defects onto reactor blade images. YOLOv8n-based deep learning models are subsequently fine-tuned and trained on these dataset groups. The results indicate that the model trained on wide-shot blade images performs better overall at detecting defects on blades compared to the model trained on zoomed-in images. The comparison of multiple models’ results reveals inherent uncertainties in model performance that while some models trained on data enhanced by Computer Vision techniques may appear more reliable in some types of defect detection, the relationship between these techniques and subsequent results cannot be generalized. The impact of epochs and optimizers on the model’s performance indicates that incorporating rotated images and selecting an appropriate optimizer are key factors for effective model training. Furthermore, models trained solely on artificially generated images from collages perform poorly at detecting defects in real images. A potential solution is to train the model on both synthetic and real images. Future work will focus on improving the framework’s performance and conducting a more comprehensive uncertainty analysis by utilizing larger and more diverse datasets, supported by enhanced computational power.
Agenzia Italiana del Farmaco (AIFA): Developments and Strategy in a Transitioning European HTA Landscape
Authors: Nisticò Robert
Published: February 2025

The Agenzia Italiana del Farmaco (AIFA) is the national public body that regulates medicines for human use in Italy [...]
Deposition and Characterization of Fluoropolymer–Ceramic (ECTFE/Al2O3) Coatings via Atmospheric Plasma Spraying
Authors: Abdennadher Mariem , Garrido Beatriz , Albaladejo-Fuentes Vicente , Garcia-Cano Irene , Bouguecha Anas , Elleuch Riadh
Published: February 2025

Thermal spray techniques allow coatings to be deposited from a wide range of materials with controlled thicknesses, from micrometres to millimetres. For this reason, thermal spraying can optimize performance for diverse applications across industries, ensuring strong adhesion and the durability of coated surfaces. In this work, composite ethylene chlorotrifluoroethylene/ceramic (ECTFE/Al2O3) coatings with different ceramic ratios were deposited by plasma spraying. Four coatings were produced by spraying blended powders consisting of pure ECTFE and ECTFE with 5%, 10%, and 15 wt.% Al2O3. The effect of varying the ceramic ratio on the coatings’ microstructure and properties was investigated. Morphology and particle size distributions were determined for the raw powders. The microstructural examination of the coatings showed proportional increases in Al2O3 content. An improvement in adhesion was achieved with ceramic in the coatings from 5 wt.% Al2O3. Enhanced friction coefficients were obtained with ceramic, except for 15 wt.% Al2O3. Taber abrasion tests showed a minimal influence on ceramic content.
The Impact of Public Environmental Concern on Corporate ESG Performance
Authors: Cheong Tsun Se , Liu Shuaiyi , Ma Ning , Han Tingting
Published: February 2025

Utilizing an advanced machine learning algorithm, particularly the Artificial Neural Network (ANN) framework, this study reveals a significant nonlinear and even cyclical relationship between public concern about environmental issues and the ESG performance of Chinese A-share listed companies, covering the period from 2004 to 2020. The findings highlight the effectiveness of the Self-Organizing Map (SOM)-ANN framework in elucidating the empirical relationship between these variables. We contend that robust public monitoring can enhance companies’ ESG initiatives, and we recommend that policymakers implement a series of measures to safeguard and promote public involvement in decision-making processes. Furthermore, our analysis of the combined effects of public concern and various performance metrics on firms’ ESG outcomes indicates that the diversity among firms is crucial for determining the most appropriate level of public participation in their sustainable development efforts. Therefore, managers and policymakers should focus on firm-specific attributes instead of adopting a “one-size-fits-all” approach to maximize the benefits of public engagement.
Do ESG Risk Scores and Board Attributes Impact Corporate Performance? Evidence from Saudi-Listed Companies
Authors: Chaabouni Ines , Ben Mbarek Noura , Ayadi Ezer
Published: February 2025

This research examines the link between environmental, social, and governance (ESG) risk ratings and board characteristics on corporate performance. Using 2023 data from 117 companies on the Saudi Stock Exchange, the study employs Ordinary Least Squares (OLS) regression and Python for data analysis. Our findings reveal a negative effect of ESG risk scores on financial performance measures, indicating that higher ESG risks hinder firm performance measured by ROE and ROIC. Furthermore, both the size and independence of the board decrease corporate performance in Saudi firms. Family-controlled ownership structures often limit the effectiveness of independent directors in enhancing performance. In Saudi firms, women’s board participation shows an insignificant impact on corporate performance, suggesting that the Tokenism Theory may apply. It is recommended that firms empower women in leadership roles and develop robust ESG risk management frameworks to mitigate risks and enhance financial performance.
Non-Maturing Deposits: Predictive Modelling and Risk Management
Authors: van Dyk Anton
Published: February 2025

Non-maturing deposits (NMDs) are a significant source of liquidity for banks, making research into their modelling and forecasting invaluable. However, NMDs have no explicit expiration date, posing liquidity risks and complicating management. This research develops models and a framework to explain, predict, and manage variations in non-maturing deposits. Aggregate savings and transaction deposit data from an African bank were analysed to test the methodologies. The Trend-Fourier model, leveraging historical trends and Fourier analysis, forecasted 90-day deposit volumes. The model revealed prominent cyclicalities and monthly trends in deposit account volumes. Benchmarking showed high accuracy for savings deposit volumes, while transaction deposit volumes were less accurate, suggesting simpler models might be suitable. Additionally, a risk metric called LVaR (Liquidity Value at Risk) was proposed. Two approaches for calculating the LVaR were tested. An exceedance test demonstrated notable accuracy for savings deposit volumes but struggled with transaction deposits. Results indicated savings deposit volumes were more predictable than transaction deposits. These findings could enhance banks’ balance sheet management by improving non-maturing deposit forecasting. The proposed methodologies could be utilized for internal and regulatory purposes, such as calculating the liquidity coverage ratio under Basel regulations.
Construction and Optimization of Ecological Network in Kuqa, China
Authors: Abulaiti Halimulati , Mamat Aynur , Mijiti Maimaiti
Published: February 2025

The ability to achieve coordinated progress towards ecological protection has become an important ecological network, is the basic guarantee, and an important way to achieve regional and urban ecological security. This study takes Kuqa City as the research area, using the Morphological Spatial Pattern Analysis (MSPA) method and the landscape connectivity index to extract the ecological source area. After establishing the comprehensive resistance surface, the Minimum Cumulative Resistance (MCR) model is used to identify the ecological corridor, and the source area and the corridor are combined to construct the ecological network of the study area. The analysis results show that the area of cropland continued to rise in 2020, and the area of woodland and grassland decreased; the overall analysis of the ecological security pattern yielded good results, and the main influencing factors were terrain and altitude. We extracted eight ecological source areas, and the distribution structure of the source sites formed two large source site communities in the north and south, with a clear break in the middle. After establishing a comprehensive resistance surface, 28 general corridors were identified using the MCR model. Corridors are more scarce in the western part of the study area, so seven important corridors have been identified according to the gravity model, and four new sources have been added to expand the ecological network coverage area, which can solve the fault phenomenon between the southwest and middle east. Constructing a reasonable ecological network can significantly improve the landscape connectivity of the entire study area, which is conducive to promoting the construction of ecological civilization in Kuqa City, and is of great significance to sustainable development and the protection of the ecological environment.
Long-Term Prognostic Power of Three-Dimensional Speckle-Tracking Echocardiography-Derived Peak Left Atrial Reservoir Global Longitudinal Strain in Healthy Adults—An Analysis from the MAGYAR-Healthy Study
Authors: Nemes Attila , Olajos Dorottya Lilla , Achim Alexandru , Ruzsa Zoltán , Ambrus Nóra , Lengyel Csaba
Published: February 2025

Introduction: The contraction–relaxation pattern of the left atrial (LA) walls is opposite to that detected in the left ventricle, which includes thinning in radial, lengthening in longitudinal, and widening in circumferential directions in the systolic reservoir phase of LA function as measured by three-dimensional speckle-tracking echocardiography (3DSTE). Global longitudinal strain (GLS) is a quantitative feature of longitudinal wall contraction referring to the whole LA. The present study aims to clarify the expected prognostic impact of peak LA-GLS as assessed by 3DSTE in healthy participants during a long-term follow-up period. Methods: The study consisted of 142 healthy adults (with an average age of 32.1 ± 12.7 years; 72 of the participants were men), in whom complete two-dimensional Doppler echocardiography and 3DSTE were performed on a voluntary basis. Results: Thirteen adults suffered from a cardiovascular event, including two cardiac deaths during a mean follow-up of 8.35 ± 4.20 years. Peak LA-GLS ≥ 20.9%, as assessed by 3DSTE, was found to be a significant predictor for cardiovascular event-free survival by using ROC analysis (specificity 74%, sensitivity 62%, area under the curve 0.69, p = 0.025). Healthy individuals with peak LA-GLS < 20.9% had a lower LV-EF and a significantly higher ratio of cardiovascular events compared to cases with peak LA-GLS ≥ 20.9%. Subjects who experienced cardiovascular events had lower peak LA-GLS and the ratio of subjects with peak LA-GLS < 20.9% proved to be significantly increased compared to that of cases without cardiovascular events. Conclusions: 3DSTE-derived peak LA-GLS representing LA lengthening in the end-systolic reservoir phase of LA function predicts future cardiovascular events in healthy adults.
Vitamin C: From Self-Sufficiency to Dietary Dependence in the Framework of Its Biological Functions and Medical Implications
Authors: Grădinaru Andrei Cristian , Popa Setalia
Published: February 2025

Vitamin C is an organic compound biosynthesized in plants and most vertebrates. Since its discovery, the benefits of vitamin C use in the cure and prevention of various pathologies have been frequently reported, including its anti-oxidant, anti-inflammatory, anticoagulant, and immune modulatory properties. Vitamin C plays an important role in collagen synthesis and subsequent scurvy prevention. It is also required in vivo as a cofactor for enzymes involved in carnitine and catecholamine norepinephrine biosynthesis, peptide amidation, and tyrosine catabolism. Moreover, as an enzymatic cofactor, vitamin C is involved in processes of gene transcription and epigenetic regulation. The absence of the synthesis of L-gulono-1,4-lactone oxidase, a key enzyme in the pathway of vitamin C synthesis, is an inborn metabolism error in some fishes and several bird and mammalian species, including humans and non-human primates; it is caused by various changes in the structure of the original GULO gene, making these affected species dependent on external sources of vitamin C. The evolutionary cause of GULO gene pseudogenization remains controversial, as either dietary supplementation or neutral selection is evoked. An evolutionary improvement in the control of redox homeostasis was also considered, as potentially toxic H2O2 is generated as a byproduct in the vitamin C biosynthesis pathway. The inactivation of the GULO gene and the subsequent reliance on dietary vitamin C may have broader implications for aging and age-related diseases, as one of the most important actions of vitamin C is as an anti-oxidant. Therefore, an important aim for medical professionals regarding human and animal health should be establishing vitamin C homeostasis in species that are unable to synthesize it themselves, preventing pathologies such as cardiovascular diseases, cognitive decline, and even cancer.
Different Methods for Calculation of Activation Energies During Non-Isothermal Annealing of Mg72Zn27Pt1 and Mg72Zn27Cu1 Metallic Glasses
Authors: Pierwoła Aleksandra , Lelito Janusz , Szucki Michał , Krawiec Halina
Published: February 2025

Mg72Zn27Pt1 and Mg72Zn27Cu1 metallic glasses were produced using a melt-spinner. Their crystallization kinetics were investigated during annealing with five heating rates using DSC. Amorphous Mg72Zn27Pt1 crystallized in the form of one and Mg72Zn27Cu1 crystallized in the form of two exothermic crystallization peaks. It was noticed that the glass transition, the onset crystallization and the crystallization peak temperatures were strongly heating-rate-dependent. The addition of Pt and Cu increased the stability compared to that of binary Mg-Zn glass, and especially so with Pt, due to its higher melting point and different atom size to those of Mg and Zn. The activation energies were calculated using six model-free methods: the Kissinger, Ozawa–Flynn–Wall, Boswell, Tang, Augis–Bennett and Gao–Wang methods. The Augis–Bennett and Gao–Wang methods allow for the calculation of only the activation energy at the crystallization peak but they are the only ones that consider Tx or dx/dT. For Mg72Zn27Pt1, the calculated values fluctuate in the ranges 114.60–117.99 kJ/mol, 102.46–105.98 kJ/mol and 71.16–98.62 kJ/mol for Eg, Ex and Ep, respectively, whereas, for Mg72Zn27Cu1, the calculated values are in the ranges of 98.51–101.77 kJ/mol, 95.15–98.51 kJ/mol and 55.15–93.34 kJ/mol for Eg, Ex and Ep, respectively. Both alloys are meta-stable in the amorphous state and crystallization occurs spontaneously. The Kissinger, Ozawa–Flynn–Wall, Tang and Boswell methods give similar values for the activation energy. The Gao–Wang method significantly underestimates values compared to other methods. The Augis–Bennett method shows much lower values for the local activation energy. Considering the ease of their formulas, best convergence and widespread use in the literature, the Kissinger and Ozawa–Flynn–Wall methods will work very well for any comparison.
Effect of Pulse Energy on the Microstructure and Mechanical Properties of the Non-Optical Contact Femtosecond Laser Welding of Quartz Glass and the TC4 Alloy
Authors: Li Xin , Zhang Runbo , Tang Xian , Liu Ming , Li Sijie , Wang Gang , Li Luyu
Published: February 2025

Currently, the quartz glass–TC4 dissimilar joint has been applied in fields such as radiation environment testing, reactor engineering, and other areas. However, the high brittleness of the quartz glass and thermal mismatch during the welding process limit require further development. Thus, a femtosecond laser was employed to perform the direct joining of these materials under non-optical contact conditions, with the aid of a well-designed clamp and optimized process, and the effect of pulse energy on the microstructure and mechanical properties was analyzed. It was revealed that a lot of welding zones form at the interface through the diffusion of Si, O, and Ti and, thus, consist of a stable joint. Element distribution is related to pulse energy, which can affect the composition of secondary phases in the weld zones. The maximum shear strength of joints was 10.4 MPa with laser pulses of 0.3 mJ, while a further increase in the pulse energy led to more defects and stress unevenness. These findings provide valuable insights into enhancing the reliability of metal–glass welding joints and the promotion of femtosecond laser technology.
Investigation on Rational Utilization of Medicinal Plant Semiliquidambar cathayensis Chang Leaf and Bark at Different Developmental Stages
Authors: Li Juanling , Geng Zhaopeng , Yuan Yuanyuan , Wang Minjuan , Zhang Yanan , Wang Junli
Published: February 2025

Background: Semiliquidambar cathayensis Chang is an extremely valuable and endangered medicinal plant. To investigate the exploitation and rational utilization of S. cathayensis, this study conducted metabolomics analysis of the leaves and bark of artificially cultivated S. cathayensis at different developmental stages. Methods: These metabolites were detected and identified by Ultra-Performance Liquid Chromatography–tandem Mass Spectrometry (UPLC-MS/MS) technology, and then univariate statistical analyses, multivariate pattern analyses, and pathway analyses were carried out. Results: As a result, a total of 801 metabolites were detected in S. cathayensis; differential metabolites in leaves at different developmental stages were mainly enriched in pathways related to flavonoids, whereas differential metabolites in bark at different developmental stages were mainly aromatic compounds, amino acids, and flavonoids, among others. This study revealed that young leaves are ideal for use in treating rheumatism, regulating blood pressure, and lowering blood glucose, while old leaves are better suited for skincare products and extracting materials to prevent neurodegenerative diseases and support women’s ovarian health. As for bark, four-year-old S. cathayensis bark is optimal for extracting myricetin. If the pharmaceutical, chemical, food, and industrial fields require extensive extraction of L-phenylalanine, trans-3-hydroxycinnamate, and 4-hydroxyphenylacetate, and if the medical field needs to extract anti-allergy, liver protection, and anti-coagulant ingredients, the two-year-old S. cathayensis bark is the best choice. Conclusions: Thus, this study established a solid theoretical framework for the rational, effective, and sustainable utilization of S. cathayensis leaves and bark.
The Plant Growth-Promoting Ability of Alfalfa Rhizobial Strains Under Nickel Stress
Authors: Pešić Mila , Tošić Jojević Sonja , Sikirić Biljana , Mrvić Vesna , Jovković Marina , Milinković Mira , Andjelković Snežana , Stajković-Srbinović Olivera
Published: February 2025

The growth and nutrient balance of legumes can be disrupted in soils with increased nickel (Ni) concentrations. The inoculation of legumes with rhizobia, symbiotic nitrogen-fixing bacteria, can be used for the alleviation of trace metal stress in plants. This study evaluated the Ni tolerance of alfalfa rhizobia isolates and some plant growth-promoting traits in the presence of Ni: indole-3-acetic acid (IAA) production, Ni biosorption potential, and the effect of rhizobia on alfalfa (Medicago sativa L.) growth. The strains were characterized as Shinorhizobium meliloti, Sinorhizobium medicae, and Rhizobium tibeticum. In total, 70% of the tested strains tolerate up to 0.8 mM Ni, while 15% of the strains tolerate 1.2 mM Ni. The production of IAA was maintained in the presence of Ni until bacterial growth was stopped by raising the Ni concentration. Alfalfa seed germination is significantly reduced in the presence of 0.5 mM Ni, while a significant reduction in 10-day-old seedling length already occurs at a Ni concentration of 0.03 mM. In the plant experiment, when alfalfa was inoculated with rhizobial strains, nodulation was maintained up to 0.05 mM Ni, but a significant reduction in nodule number was detected at 0.01 mM Ni. At the concentration of 0.005 mM Ni, inoculation with 12 particular rhizobial strains significantly improved the number of nodules per plant, plant height, and root length, as well as plant shoot dry weight, compared to non-inoculated plants with Ni addition. However, higher concentrations caused a reduction in all of these plant growth parameters compared to the plants without Ni. The selected rhizobia strains showed a Ni biosorption capacity of 20% in the in vitro assay. The inoculation of alfalfa with effective rhizobial strains improves growth parameters compared to non-inoculated plants in the presence of certain concentrations of Ni.
The Application of Al-Pillared Clays Impregnated with Cerium and Al/Ce-Pillared Clays for the Treatment of Simulated Textile Effluents Through Photocatalysis
Authors: Dias Beatriz P. , Bieseki Lindiane , de Longe Clenildo , Pergher Sibele B. C.
Published: February 2025

The objective of this study is to utilize a simulation employing advanced oxidation processes (AOPs) from photodegradation to examine the treatment of textile effluents. The selection of textile effluents as the material to be degraded is justified by the significant volume of water containing dyes, such as methylene blue (MB), generated daily by the textile industry. Often, this water is discarded without undergoing effective treatment. The purification of textile effluents would enable the reuse of water within the textile production cycle, thereby promoting sustainability. This study focuses on AOPs, which are extensively utilized in photocatalytic processes. The catalytic precursor material consists of two types of clay: a commercial clay and a natural clay. The natural clay is pillared with Al and impregnated with Ce, while the commercial clay is also pillared with Al and impregnated with Ce. Both clays are also pillared with a mixed pillar of Al and Ce. This results in three comparable materials. These clays are characterized by the presence of montmorillonite as their predominant mineral component. The selected clays were commercial bentonite and natural clay (FCN). Photocatalytic performance validation tests were conducted using UV-Vis spectroscopy. Material characterization methods included crystallographic analysis (by X-Ray diffraction (XRD)), chemical composition (by X-Ray fluorescence (XRF)), morphological studies (by scanning electron microscopy (SEM)) and textural property analysis (by N2 adsorption). The outcomes of these investigations offer signification insights into the potential applications of these materials in the treatment of textile effluents and the development of more sustainable processes within the textile industry. Furthermore, the results contribute to the advancement of photocatalytic material design.
A General Framework to Simulate Soil–Structure Interface Behaviour Using Advanced Constitutive Models
Authors: Niebler Michael , Chrisopoulos Stylianos , Cudmani Roberto , Rebstock Daniel
Published: February 2025

The importance of using sophisticated interface models to obtain realistic numerical solutions of soil–structure interaction (SSI) problems has been recognised in recent decades. With this aim, various advanced interface models have been developed, which assume that the same advanced constitutive model can describe the soil behaviour inside and outside the shear zone. These models fail to adequately address the experimentally observed stick–slip transition, assuming permanent sticking between the soil and structure. Furthermore, the influence of interface roughness requires model parameter adjustments, e.g., in the critical state of the soil, which are questionable from a physical point of view. To overcome these shortcomings, we propose a general relationship to describe the evolution of the shear strain in the shear zone as a function of the surface roughness, the density, and the normal stress. This relationship, which assumes a stick–slip transition at the interface, can be combined with an advanced constitutive model to describe soil–structure interface behaviour using the same set of model parameters as for the surrounding soil. Depending on the surface roughness of the interface, this transition leads to a localisation within the soil in the shear zone (for rough surfaces) or at the contact surface (for smooth surfaces). The proposed model was validated using interface shear tests from the literature on dry granular soils. A hypoplastic constitutive model was used in the simulations. The comparison of experimental and calculated results demonstrates the ability of the proposed model to realistically reproduce shear stress and relative displacements, including the stick–slip transition observed in the experiments. This instils confidence in the model’s reliability and accuracy, thus providing a reliable numerical tool for SSI analyses.
Molecular Properties of Phosphodiesterase 4 and Its Inhibition by Roflumilast and Cilomilast
Authors: Kwak Hyun Jeong , Nam Ki Hyun
Published: February 2025

Phosphodiesterase 4 (PDE4) catalyzes cyclic adenosine monophosphate (cAMP) hydrolysis, playing a crucial role in the cAMP signaling pathway. cAMP is a secondary messenger involved in numerous physiological functions, such as inflammatory responses, immune responses, neural activity, learning, and memory. PDE4 inhibition is important for controlling anti-inflammatory and neuroprotective effects. In this review, we provide a comprehensive overview of the molecular functions and properties of human PDE4s. The study presents detailed sequence information for the PDE4 isoforms and the structural properties of the catalytic domain in members of the PDE4 family. We also review the inhibitory effects of the PDE4 inhibitors roflumilast and cilomilast related to respiratory diseases in PDE4. The crystal structures of PDE4 in complex with roflumilast and cilomilast are also analyzed. This review provides useful information for the future design of novel PDE4 inhibitors.
Mechanism of Action and Therapeutic Potential of Xanthohumol in Prevention of Selected Neurodegenerative Diseases
Authors: Długosz Anna , Błaszak Błażej , Czarnecki Damian , Szulc Joanna
Published: February 2025

Xanthohumol (XN), a bioactive plant flavonoid, is an antioxidant, and as such, it exhibits numerous beneficial properties, including anti-inflammatory, antimicrobial, and antioxidative effects. The main dietary source of XN is beer, where it is introduced through hops. Although the concentration of XN in beer is low, the large quantities of hop-related post-production waste present an opportunity to extract XN residues for technological or pharmaceutical purposes. The presented study focuses on the role of XN in the prevention of neurodegenerative diseases, analyzing its effect at a molecular level and including its signal transduction and metabolism. The paper brings up XN’s mechanism of action, potential effects, and experimental and clinical studies on Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS). Additionally, challenges and future research directions on XN, including its bioavailability, safety, and tolerance, have been discussed.