bluuebunny/crossref_metadata_2025 huggingface dataset:
Prenatal Predictors and Early Postnatal Outcomes in Fetuses Diagnosed with Tricuspid Atresia
Authors: Kahramanoglu Ozge , Eyisoy Omer Gokhan , Demirci Oya
Published: December 2024

Objective: To assess the prenatal course and early postnatal outcomes of fetuses diagnosed with tricuspid atresia and to identify predictors of survival. Methods: This was a retrospective study of 25 fetuses diagnosed with tricuspid atresia in a single tertiary referral center, evaluating prenatal echocardiographic features and postnatal outcomes. Results: A total of 4 of 29 initially diagnosed fetuses were excluded due to changes in diagnosis or loss to follow-up, leaving 25 fetuses for analysis. Of these, 16 (64%) had concordant VA alignment, 8 (32%) had discordant VA connections, and 1 had a double-outlet left ventricle (DOLV). Pulmonary stenosis was observed in 13 fetuses, and 10 (40%) had extracardiac anomalies. Genetic testing, performed in 5 cases, identified a chromosomal anomaly in one case (trisomy 18). Overall, three pregnancies were terminated due to severe associated anomalies. Among the 22 liveborn infants, survival at 12 months was 72%. Restrictive ventricular septal defect (VSD) and the high ductus venosus pulsatility index were significantly associated with lower survival (p = 0.021 and p = 0.034, respectively). Conclusions: Tricuspid atresia can be accurately diagnosed in utero with a thorough echocardiographic evaluation. Restrictive VSD and outflow tract obstructions are critical determinants of early survival, while abnormal DV Doppler patterns may serve as additional markers for adverse outcomes. More extensive studies are needed to validate these findings and improve prognostic counseling.
A Prospective Comparison of Subjective Symptoms and Neurophysiological Findings in the Assessment of Neuropathy in Cancer Patients
Authors: Kleinveld Vera Elisabeth Adreana , Emmelheinz Miriam , Egle Daniel , Ritter Magdalena , Löscher Wolfgang N. , Marth Christian , Horlings Corinne Gosewina Cornelia , Wanschitz Julia , Brunner Christine
Published: December 2024

Objectives: Neurotoxic effects causing peripheral nerve damage have been reported for several chemotherapy agents. There is no established and standardized method to assess the presence of chemotherapy-induced peripheral neuropathy (CIPN). We compared patient-reported CIPN symptoms to neurophysiological findings and neurological assessments in patients receiving taxane-based chemotherapy. Methods: Patients scheduled to receive taxane-based chemotherapy for the treatment of gynecologic cancer were included and prospectively followed for up to 9 months after chemotherapy discontinuation, between May 2020 and January 2023. Patient-reported symptoms, using the EORTC-QLQ-CIPN20 questionnaire, and nerve conduction studies (NCSs) were performed at baseline, halfway through the treatment cycle, at the end of the treatment, 3 months after treatment, and 6–9 months after treatment. Results: A total of 149 patients were included. Overall, 47.0% of patients reported symptoms compatible with CIPN at any of the follow-ups. Subjective symptoms did not correlate with nerve conduction studies. SNAP amplitudes at baseline were lower in patients who developed CIPN compared to the group without CIPN. Conclusions: The overall diagnostic accuracy of electrophysiological parameters as a marker for CIPN was low.
Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data
Authors: Marcello Javier , Spínola María , Albors Laia , Marqués Ferran , Rodríguez-Esparragón Dionisio , Eugenio Francisco
Published: December 2024

Forests are crucial for biodiversity, climate regulation, and hydrological cycles, requiring sustainable management due to threats like deforestation and climate change. Traditional forest monitoring methods are labor-intensive and limited, whereas UAV LiDAR offers detailed three-dimensional data on forest structure and extensive coverage. This study primarily assesses individual tree segmentation algorithms in two forest ecosystems with different levels of complexity using high-density LiDAR data captured by the Zenmuse L1 sensor on a DJI Matrice 300RTK platform. The processing methodology for LiDAR data includes preliminary preprocessing steps to create Digital Elevation Models, Digital Surface Models, and Canopy Height Models. A comprehensive evaluation of the most effective techniques for classifying ground points in the LiDAR point cloud and deriving accurate models was performed, concluding that the Triangular Irregular Network method is a suitable choice. Subsequently, the segmentation step is applied to enable the analysis of forests at the individual tree level. Segmentation is crucial for monitoring forest health, estimating biomass, and understanding species composition and diversity. However, the selection of the most appropriate segmentation technique remains a hot research topic with a lack of consensus on the optimal approach and metrics to be employed. Therefore, after the review of the state of the art, a comparative assessment of four common segmentation algorithms (Dalponte2016, Silva2016, Watershed, and Li2012) was conducted. Results demonstrated that the Li2012 algorithm, applied to the normalized 3D point cloud, achieved the best performance with an F1-score of 91% and an IoU of 83%.
Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy
Authors: Mikołajewska Emilia , Masiak Jolanta , Mikołajewski Dariusz
Published: December 2024

Artificial intelligence (AI)-based digital patient twins have the potential to make breakthroughs in research and clinical practices in rehabilitation. They make it possible to personalise treatment plans by simulating different rehabilitation scenarios and predicting patient-specific outcomes. DTs can continuously monitor a patient’s progress, adjusting therapy in real time to optimise recovery. They also facilitate remote rehabilitation by providing virtual models that therapists can use to guide patients without having to be physically present. Digital twins (DTs) can help identify potential complications or failures at an early stage, enabling proactive interventions. They also support the training of rehabilitation professionals by offering realistic simulations of different patient conditions. They can also increase patient engagement by visualising progress and potential future outcomes, motivating adherence to therapy. They enable the integration of multidisciplinary care, providing a common platform for different professionals to collaborate and improve rehabilitation strategies. The article aims to trace the current state of knowledge, research priorities, and research gaps in order to properly guide further research and shape decision support in rehabilitation.
Lithium Battery SOC Estimation Based on Type-2 Fuzzy Cerebellar Model Neural Network
Authors: Zhao Jing , Ge Menglei , Huang Qiyu , Zhong Xungao
Published: December 2024

Accurate estimation of the state of charge (SOC) of lithium batteries is critical for the safe and optimal operation of battery management systems (BMSs). Traditional SOC estimation methods are often limited by model inaccuracy and noise interference. In this study, a novel type-2 fuzzy cerebellar model neural network (Type-2 FCMNN) is proposed for accurately estimating the state of charge of lithium batteries. Based on the traditional fuzzy cerebellar model neural network (FCMNN), type-2 fuzzy rules are innovatively introduced to enhance the robustness of the model against uncertainties and noise disturbances. This enables the model to better cope with nonlinear complexity and external disturbances when dealing with SOC estimation of lithium batteries and significantly improves the accuracy of prediction. On this basis, by analyzing the working principle of lithium batteries, a battery equivalent circuit model is successfully established and simulated and tested by Simulink R2022b, which provides a theoretical basis for the selection of the size of the input parameters of the subsequent neural network. Then, this paper designs and implements the SOC estimation model based on Type-2 FCMNN and tests it in Matlab. Finally, this paper carries out simulation comparison experiments between Type-2 FCMNN and various classical neural network algorithms in Matlab R2022b including traditional FCMNN, a backpropagation neural network, radial basis function neural network, and Kalman filtering algorithm. The simulation results show that Type-2 FCMNN exhibits a significant advantage in SOC estimation accuracy, with mean absolute error and root mean square error values of only 43.1% and 36.0% of FCMNN’s, respectively, while FCMNN achieves the best results among the compared methods.
SOC Equalization Control Method Considering SOH in DC–DC Converter Cascaded Energy Storage Systems
Authors: Bai Shixian , Tong Xiangqian , Ma Xin , Zhou Jie
Published: December 2024

In large-scale industrial and commercial energy storage systems, as well as ground power station energy storage systems, the trend is to adopt large-capacity battery cells to reduce system construction costs. It is essential to screen the consistency of battery cells during the initial design phase. In conventional energy storage systems, battery clusters utilize multiple batteries connected in series, which can lead to differential attenuation over time and inconsistent state of charge (SOC) among the batteries. The “barrel effect” diminishes the effective capacity of the energy storage system. To mitigate this issue, a DC–DC converter cascaded energy storage system has been developed, incorporating precise charge and discharge management for each battery module within a cluster. By implementing SOC equalization control at the module level, it mitigates the barrel effect and enables full utilization of each battery module’s charging and discharging capabilities, thereby enhancing the overall charge–discharge capacity of the energy storage system. However, when considering only the SOC equalizing factor, its effectiveness may be limited by constraints such as DC–DC converter power limitations and device voltage stress levels. Therefore, a novel SOC equalization control method that considers both SOH and SOC variations across battery modules is proposed here. Through a droop control methodology combined with closed-loop control implementation on eight DC–DC converter cascaded energy storage systems, we validate the improved effectiveness achieved by incorporating SOH-aware SOC equalization control. The energy storage system has the capability to enhance both charging and discharging capacities, achieving a remarkable increase of 1.85% every 10 min, thereby yielding significant economic advantages.
Properties of Components of Renewable Motor Fuel Based on Plant Oils and Assessment of Their Compatibility with Traditional Fuels
Authors: Boichenko Sergii , Yakovlieva Anna , Zubenko Stepan , Konovalov Sergii , Shkilniuk Iryna , Artyukhov Artem , Wit Bogdan , Czarnocki Krzysztof , Wołowiec Tomasz
Published: December 2024

The growing demand for sustainable and environmentally friendly fuels and the increasing need to diversify energy sources have stimulated significant research in the field of renewable motor fuels. Despite the progress made, there is still a need to expand the feedstocks, optimize technological pathways, and, in particular, conduct comprehensive studies of the compatibility of renewable components with traditional fuels. In light of the above, the authors propose optimizing the properties of renewable fuels by using new vegetable oils and alcohols for their synthesis. The work is focused on studying the basic physical–chemical properties of fatty acid esters and assessing the possibility of using them as renewable components of motor fuels. Renewable components were obtained via the esterification of selected plant oils (rapeseed oil, camelina oil, palm kernel oil, and coconut oil) with different alcohols (ethanol and isobutanol) with further vacuum distillation of esters. The influence of the structure and composition of renewable components on their physical–chemical properties was studied and substantiated. It shows how the carbon number distribution and double bonds in fatty acid radicals influence the properties of renewable components. The paper shows the impact of the type and structure of alcohol used for esterification on the properties of studied products. The regularities in the change in properties of renewable components depending on the composition of oils and alcohols are explained and substantiated from the point of view of physical chemistry and the basics of forces of intermolecular interactions. Renewable components were compared to the properties of conventional motor fuels (diesel fuel and jet fuel). Based on the level of component compatibility with petroleum fuels, recommendations for replacing or blending petroleum fuels with renewable components were proposed.
Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI)
Authors: Maciejewski Dawid , Mudryk Krzysztof , Sporysz Maciej
Published: December 2024

This article devises the Artificial Intelligence (AI) methods of designing models of short-term forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small Hydropower Plant (SHP). Renewable Energy Sources (RESs) are difficult to predict due to weather variability. Electricity production by a run-of-river SHP is marked by the variability related to the access to instantaneous flow in the river and weather conditions. In order to develop predictive models of an SHP facility (installed capacity 760 kW), which is located in Southern Poland on the Skawa River, hourly data from nearby meteorological stations and a water gauge station were collected as explanatory variables. Data on the water management of the retention reservoir above the SHP were also included. The variable to be explained was the hourly electricity production, which was obtained from the tested SHP over a period of 3 years and 10 months. Obtaining these data to build models required contact with state institutions and private entrepreneurs of the SHP. Four AI methods were chosen to create predictive models: two types of Artificial Neural Networks (ANNs), Multilayer Perceptron (MLP) and Radial Base Functions (RBFs), and two types of decision trees methods, Random Forest (RF) and Gradient-Boosted Decision Trees (GBDTs). Finally, after applying forecast quality measures of Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R2), the most effective model was indicated. The decision trees method proved to be more accurate than ANN models. The best GBDT models’ errors were MAPE 3.17% and MAE 9.97 kWh (for 12 h horizon), and MAPE 3.41% and MAE 10.96 kWh (for 24 h horizon). MLPs had worse results: MAPE from 5.41% to 5.55% and MAE from 18.02 kWh to 18.40 kWh (for 12 h horizon), and MAPE from 7.30% to 7.50% and MAE from 24.12 kWh to 24.83 kWh (for 24 h horizon). Forecasts using RBF were not made due to the very low quality of training and testing (the correlation coefficient was approximately 0.3).
Generation and Validation of CFD-Based ROMs for Real-Time Temperature Control in the Main Control Room of Nuclear Power Plants
Authors: Kang Seung-Hoon , Choi Dae-Kyung , Son Sung-Man , Choi Choengryul
Published: December 2024

This study develops and validates a Reduced Order Model (ROM) integrated with Digital Twin technology for real-time temperature control in the Main Control Room (MCR) of a nuclear power plant. Utilizing Computational Fluid Dynamics (CFD) simulations, we obtained detailed three-dimensional thermal flow distributions under various operating conditions. A ROM was generated using machine learning techniques based on 94 CFD cases, achieving a mean temperature error of 0.35%. The ROM was further validated against two excluded CFD cases, demonstrating high correlation coefficients (R > 0.84) and low error metrics, confirming its accuracy and reliability. Integrating the ROM with the Heating, Ventilating, and Air Conditioning (HVAC) system, we conducted a two-month simulation, showing effective maintenance of MCR temperature within predefined criteria through adaptive HVAC control. This integration significantly enhances operational efficiency and safety by enabling real-time monitoring and control while reducing computational costs and time associated with full-scale CFD analyses. Despite promising results, the study acknowledges limitations related to ROM’s dependency on training data quality and the need for more comprehensive validation under diverse and unforeseen conditions. Future research will focus on expanding the ROM’s applicability, incorporating advanced machine learning methods, and conducting pilot tests in actual nuclear plant environments to further optimize the Digital Twin-based control system.
A Comprehensive Study on Physicochemical Properties of Fatty Acid Esters Derived from Different Vegetable Oils and Alcohols and Their Potential Application
Authors: Esipovich Anton L. , Kanakov Evgeny A. , Charykova Tatyana A. , Otopkova Ksenia V. , Smirnov Mikhail A. , Mityukova Yulia A. , Belousov Artem S.
Published: December 2024

This study is related to producing a set of fatty acid esters from different vegetable oils and C1–C12 alcohols. A total of 66 products were synthesized. The obtained esters were characterized by fatty acid composition, density, viscosity, saponification value, acid value, iodine value, low-temperature properties, and oxidative stability. It was established that the fatty acid composition, as well as alcohol, used has a significant impact on esters properties. Comparing physicochemical properties of fatty acid esters with existing standards and specifications, it was proposed to use esters for different industrial applications. In particular, rapeseed oil fatty acid methyl esters are an ideal candidate for application as biodiesel, while transesterification of soybean oil, sunflower oil, rapeseed oil, and coconut oil with higher alcohols led to products with promising properties as bio-lubricants. Castor oil alkyl esters could potentially be utilized as base oils due to their excellent viscosity and low-temperature properties.
Green Pre-Treatment Strategy Using Ionic Liquid-Based Aqueous Two-Phase Systems for Pesticide Determination in Strawberry Samples
Authors: Jocić Ana , Marić Slađana , Tekić Danijela , Mušović Jasmina , Milićević Jelena , Živković Sanja , Dimitrijević Aleksandra
Published: December 2024

Pesticides used in agriculture can contaminate foods like fruits and vegetables, posing health risks to consumers and highlighting the need for effective residue monitoring. This study explores aqueous two-phase systems (ATPSs) comprising phosphonium or ammonium ionic liquids (ILs) combined with ammonium sulfate as an alternative pre-treatment method for extracting and concentrating the pesticides clomazone, pyraclostrobin, and deltamethrin from strawberry samples. Liquid–liquid equilibrium measurements for each ATPS were conducted, followed by extraction experiments to determine the most efficient systems for pesticide extraction. Results showed that all three pesticides migrated effectively to the IL-rich phase across the tested ATPSs. For the most promising system, tetrabutylphosphonium salicylate ([TBP][Sal]) with ammonium sulfate, extraction efficiencies for each pesticide exceeded 98% under optimized conditions for parameters such as pH, temperature, and ATPS composition. Application of this ATPS to strawberries resulted in significant pesticide preconcentration, reaching mg/L levels suitable for detection by liquid chromatography. The method’s sustainability was supported by green chemistry metrics, with AGREEprep and AGREE scores of 0.68 and 0.55, respectively, underscoring its alignment with eco-friendly practices.
Impact of a Plant Sterol Food Supplement on Eryptotic and Associated Cardiometabolic Parameters: A Randomized Placebo-Controlled Trial in Statin-Treated Patients
Authors: Miedes Diego , Ortega-Luna Raquel , Broseta Sonia , Martínez-Hervás Sergio , Álvarez-Ribelles Ángeles , Collado-Díaz Víctor , Cilla Antonio , Alegría Amparo
Published: December 2024

Eryptotic erythrocytes are prone to adhere to the vascular endothelium, provoking atherosclerosis. As statins do not prevent eryptosis compounds with anti-eryptotic effects could help treated hypercholesterolemic subjects in decreasing cardiovascular disease risk. Plant sterols (PSs) have shown this anti-eryptotic effect ex vivo, along with their cholesterol-lowering activity. A parallel double-blind placebo-controlled randomized trial was conducted using a PS-food supplement (2 g of PS/day) (case, n = 13) or a placebo supplement (control, n = 13) in statin-treated hypercholesterolemic subjects. Blood samples were extracted before (T0) and after (T1) a 6-week treatment, and erythrocytes were isolated for biochemical determination, phosphatidylserine externalization (EPHS), cell size and reduced glutathione (GSH) analyses, and endothelium adhesion evaluation. A reduction in glucose (4.3%) and LDL cholesterol (9.2%) was observed only in the control group, whereas in the case group, an increase in ApoA1 (6.4%) was observed. Neither EPHS, cell size nor GSH were modified by the treatment with any of the supplements, whilst endothelium adhesion was reduced (55.1%) only in the case group. These results suggest that the PS supplement may improve some cardiovascular health parameters in the target population even though eryptosis status is not modified by this treatment.
An Innovative Food Processing Technology: Microwave Electrodeless Ultraviolet, Luminescence Mechanism, Microbial Inactivation, and Food Application
Authors: Chang Shuqi , Zhang Zhaoyi , Liu Qin , Wu Haixia , Dong Alideertu
Published: December 2024

Microwave electrodeless ultraviolet (MWUV) technology, as an emerging food processing technique, has garnered growing attention in the realm of food science in recent years. Based on different application requirements, MWUV equipment types are categorized as microwave oven reactor, continuous-flow UV-microwave reactor, coaxially driven MWUV reactor, and complete ultraviolet reactor. The luminescence properties of MWUV equipment depend on their filler gas; mercury is commonly used as a filler gas to produce a wavelength at 253.7 nm for food non-thermal sterilization. The microbial sterilization effect of MWUV is primarily attributed to the synergistic action of microwave and ultraviolet (UV): MWUV enhances reactive oxygen species (ROS) production, disrupts the cell membrane structures of bacteria, leads to bacterial endosome leakage, and induces nucleic acid damage. MWUV extends food shelf-life by eliminating microorganisms without significantly altering food quality compared with traditional thermal sterilization methods. Additionally, MWUV, combined with digestion reagents such as HNO3 and H2O2, can effectively enhance the digestion of food samples to detect essential and toxic elements. Studies on MWUV technology hold broad potential in the food industry, with promising implications for food safety and consumer demand for high-quality food. Future research may focus on optimizing the equipment parameters and integrating with other food processing technologies to facilitate further development and application of MWUV.
Screening of Nutritionally Important Components in Standard and Ancient Cereals
Authors: Dragičević Vesna , Simić Milena , Kandić Raftery Vesna , Vukadinović Jelena , Dodevska Margarita , Đurović Sanja , Brankov Milan
Published: December 2024

Sustainable nutrition and food production involve dietary habits and farming systems which are eco-friendly, created to provide highly nutritious staple crops which could serve as a functional food at the same time. This research sought to provide a comprehensive analysis of whole-grain cereals, and some ancient grains toward important macro- (protein), micro-nutrients (mineral elements), and bioactive compounds, such as dietary fiber (arabinoxylan and β-glucan) and antioxidants (phytic acid, total glutathione, yellow pigment, and phenolic compounds) to provide functionality in a sustainable diet. Genotypes, such as durum wheat, triticale, spelt, emmer wheat, and barley, could be considered important and sustainable sources of protein (ranging 11.10–15.00%), as well as prebiotic fiber (β-glucan and arabinoxylan, ranging 0.11–4.59% and 0.51–6.47%, respectively), essential elements, and various antioxidants. Ancient grains can be considered as a source of highly available essential elements. Special attention should be given to the Cimmyt spelt 1, which is high in yellow pigment (5.01 μg·g−1) and has a capacity to reduce DPPH radicals (186.2 µmol TE·g−1), particularly Zn (70.25 mg·kg−1). The presence of phenolics, dihydro-p-coumaric acid, naringin, quercetin, epicatechin in grains of oats (Sopot), as well as catechin in barley grains (Apolon and Osvit) underline their unique chemical profile, making them a desirable genetic pool for breeding genotypes. This research provides a comprehensive assessment of different nutritional aspects of various cereals (some of which are commonly used, while the others are rarely used in diet), indicating their importance as nutraceuticals. It also provides a genetic background that could be translated the genotypes with even more profound effects on human health.
Efficient Green Extraction of Nutraceutical Compounds from Nannochloropsis gaditana: A Comparative Electrospray Ionization LC-MS and GC-MS Analysis for Lipid Profiling
Authors: Blanco-Llamero Cristina , García-García Paz , Señoráns Francisco Javier
Published: December 2024

Microalgae have been described as a potential alternative source of a wide range of bioactive compounds, including polar lipids and carotenoids. Specifically, Nannochloropsis gaditana is described as producing large amounts of polar lipids, such as glycolipids and phospholipids. These natural active compounds serve as key ingredients for food, cosmetic, or nutraceutical applications. However, microalgae usually possess a rigid cell wall that complicates the extraction of these compounds. Thus, an ultrasound-assisted enzymatic pretreatment is necessary to efficiently extract bioactives from microalgae, and it was studied in this article. Pretreated biomass was extracted using different advanced and green methodologies and compared to traditional extraction. Furthermore, the analysis, characterization, and identification of valuable compounds using GC-MS and LC-MS analytical methods were also investigated. Interestingly, major results demonstrated the efficiency of the pretreatment, enriching polar lipids’ distribution in all extracts produced no matter the extraction technique, although they presented differences in their concentration. Pressurized liquid extraction and microwave-assisted extraction were found to be the techniques with the highest yields, whereas ultrasound-assisted extraction achieved the highest percentage of glycolipids. In summary, green extraction techniques showed their effectiveness compared to traditional extraction.
Operational Calculus of the Quantum Statistical Fermi–Dirac and Bose–Einstein Functions Leading to the Novel Fractional Kinetic Equations
Authors: Tassaddiq Asifa , Cattani Carlo , Alharbi Rabab , Kasmani Ruhaila Md , Qureshi Sania
Published: December 2024

The sun is a fundamental element of the natural environment, and kinetic equations are crucial mathematical models for determining how quickly the chemical composition of a star like the sun is changing. Taking motivation from these facts, we develop and solve a novel fractional kinetic equation containing Fermi–Dirac (FD) and Bose–Einstein (BE) functions. Several distributional properties of these functions and their proposed new generalizations are investigated in this article. In fact, it is proved that these functions belong to distribution space D′ while their Fourier transforms belong to Z′. Fourier and Laplace transforms of these functions are computed by using their distributional representation. Thanks to them, we can compute various new fractional calculus formulae and a new relation involving the Fox–Wright function. Some fractional kinetic equations containing the FD and BE functions are also formulated and solved.
Community Awareness and Perceptions of Genitourinary Malformations: A Cross-Sectional Survey Study
Authors: Al Abdulqader Ahmad A. , Alarfaj Haytham Mohammed , Bu Bshait Mohammed Saad , Kamal Ahmed Hassan , Albarqi Mohammed Nasser , Alkhawajah Amnah Ali , Alshahri Alreem I. , Almubarak Abdullah Abduljalil , Almuhaini Mariyyah Abdullah , Al Khashram Nawaf , Almaqhawi Abdullah , Zakaria Ossama Mohamed
Published: December 2024

Background and Objectives: On a local and national scale, genitourinary malformations (GUMs) are the second most encountered congenital anomaly in children. GUMs are linked to several risk factors, including maternal co-morbidities and insufficient folic acid. They may also be related to maternal health and care during pregnancy. Expanding our knowledge about these factors is necessary for the development of preventative measures, which could reduce GUM incidence. This study evaluated the local youth’s understanding and perceptions of genitourinary anomalies. Materials and Methods: This cross-sectional, qualitative, anonymous, questionnaire-based study involved members of the local population, aged 18 years or over. Based on a 5% type I error rate (α = 0.05) and an 80% response rate, a sample size of 481 was determined. The questionnaire was completed by 902 people. The data were analyzed using SPSS version 25 (IBM). Results: Over half (57%) of respondents believed that hormonal therapy during pregnancy could increase GUM risk. Moreover, 46% thought that maternal chronic diseases could be another risk factor, while 43% believed that pregnancy-related conditions, such as pre-eclampsia, increased GUM risk. Women had higher odds of high perception scores than men, according to the univariate and multivariate analyses. Most participants (74%) strongly agreed that proper and ongoing prenatal follow-ups are necessary, 69% agreed that premarital medical check-ups are necessary, and 67% believed that optimal nutrition throughout pregnancy is necessary to reduce GUM risk. Conclusions: The results emphasize the necessity of developing healthcare strategies specifically designed to increase knowledge about GUMs and overcome incorrect community perceptions of risk factors that could also help improve attitudes towards prevention and ultimately reduce the incidence of GUMs.
Addiction to Smartphone Use in Smokers Diagnosed with Type 2 Diabetes in Jordan: Are Their Medications Involved?
Authors: Gammoh Omar , Alsous Mervat , Al-Ameri Mariam , Al-Jabari Sereene , Sbitan Lana , Alsheyyab Jafar , Zeitoon Sa’ed , Hanandeh Suzan , Aljabali Alaa A. A. , AlRasheed Hayam Ali , Shilbayeh Sireen Abdul Rahim
Published: December 2024

Background/Objectives: The prevalence of type 2 diabetes and smoking is increasing in developing countries and is associated with deteriorated health outcomes. Also, addiction to smartphone use is an alarming behavior that can be associated with clinical factors. This study aimed to determine the prevalence and clinical correlates of smartphone addiction in smokers with T2DM in Jordan, with a particular focus on the role of medications. Methods: This cross-sectional study recruited patients from Prince Hamza Hospital, Jordan, according to pre-defined criteria. Besides demographics and clinical information, this study used the validated Arabic version of the Smartphone Addiction Scale to assess addiction to smartphones and a multivariable regression analysis to identify the correlates of smartphone addiction. Results: Data analyzed from 346 patients revealed that 117 (33.8%) of these participants reported addiction to smartphones. Patients who had been diagnosed with T2DM for less than five years (aOR = 3.30; 95% CI = 1.43–7.60), who were “employed” (aOR = 8.85; 95% CI = 2.20–35.64), and who were “retired” (aOR = 11.46; 95% CI = 2.72–48.23) all reported a significantly (p < 0.05) higher odds of smartphone addiction. In contrast, patients on “sulfonylurea” (aOR = 0.18; 95% CI = 0.06–0.53); “metformin” (aOR = 0.19; 95% CI = 0.06–0.66), and “gabapentin” (aOR = 0.16; 95% CI = 0.04–0.67) and those with “comorbid hypertension” (aOR = 0.15; 95% CI = 0.06–0.38) had a significantly (p < 0.05) lower odds of smartphone addiction. Conclusion: These alarming results require adequate action from the health authorities to raise awareness of adopting positive behaviors that could improve the well-being of this high-risk population.
The Biomechanical Effects of Kinesiology Taping Methods on Side-Step Cutting Movements in Chronic Ankle Instability
Authors: Wang Xuting , Quan Wenjing , Ma Yiwen , Jozsef Sarosi , Fang Yufei , Gu Yaodong
Published: December 2024

Background: The ankle joint is among the most vulnerable areas for injuries during daily activities and sports. This study focuses on individuals with chronic ankle instability (CAI), comparing the biomechanical characteristics of the lower limb during side-step cutting under various conditions. The aim is to analyze the impact of kinesiology tape (KT) length on the biomechanical properties of the lower limb during side-step cutting, thereby providing theoretical support and practical guidance for protective measures against lower-limb sports injuries. Methods: Twelve subjects with CAI who met the experimental criteria were recruited. Each subject underwent testing without taping (NT), with short kinesiology tape (ST), and with long kinesiology tape (LT), while performing a 45° side-step cutting task. This study employed the VICON three-dimensional motion capture system alongside the Kistler force plate to synchronously gather kinematic and kinetic data during the side-step cutting. Visual 3D software (V6.0, C-Motion, Germantown, MD, USA) was utilized to compute the kinematic and kinetic data, while OpenSim 4.4 software (Stanford University, Stanford, CA, USA) calculated joint forces. A one-way Analysis of Variance (ANOVA) was conducted using SnPM, with the significance threshold established at p < 0.05. The Origin software 2021 was used for data graphic processing. Results: KT was found to significantly affect joint angles, angular velocities, and moments in the sagittal, frontal, and transverse planes. LT increased hip and knee flexion angles as well as angular velocity, while ST resulted in reduced ankle inversion and increased knee internal rotation. Both types of KT enhanced hip abduction moment and knee adduction/abduction moment. Additionally, LT reduced the ankle joint reaction force. Conclusions: These findings suggest that the application of KT over a short duration leads to improvements in the lower-limb performance during side-step cutting motions in individuals with CAI, thus potentially decreasing the risk of injury.
Influence of PAW on the Lettuce Growth and Formation of the Secondary Metabolites in Different Growing Conditions
Authors: Romanjek Fajdetić Nataša , Blažinkov Mihaela , Božić Ostojić Ljiljana , Mirosavljević Krunoslav , Antunović Slavica , Knezović Iva , Benković Robert , Sviličić Petra , Lačić Teuta Benković
Published: December 2024

The aim of this paper was to find out if PAW (plasma-activated water) irrigation treatment might have a positive influence on morphological parameters (number of leaves, head mass, rosette height, rosette width, and dry matter), microelements and macroelements content, and the formation of secondary metabolites (phenols, phenolic acids, flavonoids, antioxidant activity, and proline). Watering in two treatments (PAW 1 (150 mL added per watering) and PAW 2 (300 mL added per watering)) were completed four times. The experiment was conducted in inside and outside growing conditions. As a result of the experiment, it was established that PAW treatment had a positive effect on morphological parameters, nitrogen content, and the content of phenols, phenolic acids, flavonoids, antioxidant activity, and proline. In addition, it was discovered that growing in inside conditions for PAW 1 treatment gave 61.43% better results in mass in relation to outside conditions. Regarding the PAW 2 treatment, the results showed that the mass in inside conditions was 66.30% higher than in outside conditions. Comparing PAW 1 and PAW 2 treatment, it was found that PAW 2 treatment gave 6% more mass than plants under PAW 1 treatment. It can be concluded that there was a positive effect of PAW treatment on morphological parameters in relation to the control, but there was no significant difference between the treatments.
DDX21 at the Nexus of RNA Metabolism, Cancer Oncogenesis, and Host–Virus Crosstalk: Decoding Its Biomarker Potential and Therapeutic Implications
Authors: Xiao Yalan , Fan Jiankun , Li Zhigang , Hou Yu
Published: December 2024

DDX21, a member of the DEAD-box RNA helicase family, plays a pivotal role in various aspects of RNA metabolism, including ribosomal RNA (rRNA) processing, transcription, and translation. Its diverse functions in cancer progression and viral infections have attracted considerable attention. DDX21 exerts a pivotal function through ribosomal DNA (rDNA) transcription and rRNA processing. DDX21 is involved in different biological processes of mRNA transcription. It interacts with transcription factors, modulates RNA polymerase II elongation, binds R-loops to regulate transcription, and participates in alternative splicing. The elevated expression of DDX21 has been observed in most cancers, where it influences tumorigenesis by affecting ribosome biogenesis, transcription, genome stability, and cell cycle regulation. Additionally, DDX21 plays a key role in the antiviral defense of host by interacting with viral proteins to regulate essential stages of the infection process. This review provides a thorough examination of the biological functions of DDX21, its involvement in cancer progression and viral infections, and its potential as both a biomarker and a therapeutic target. Future studies should aim to clarify the specific mechanisms of the activity of DDX21, advance the development of targeted therapies, and assess its clinical relevance across various cancer types and stages.
The Role of Flavonoids from Aurantii Fructus Immaturus in the Alleviation of Allergic Asthma: Theoretical and Practical Insights
Authors: Xue Jingwen , Liu Yuntong , Chen Qiushi , Liu Huimin , Zhang Huijing , Wang Bo , Jin Yongri , Li Xuwen , Shi Xiaolei
Published: December 2024

Flavonoids derived from plants in the citrus family can have an alleviating effect on allergic asthma. The aim of this study was to provide insights into the mechanisms by which these compounds exert their effects on allergic asthma by combining theoretical and practical approaches. Aurantii Fructus Immaturus flavonoids (AFIFs) were obtained by solvent extraction and were determined by high performance liquid chromatography (HPLC). In vivo and in vitro experiments combined with network pharmacology, Mendelian randomization (MR) analysis and the AutoDock method were applied to study the mechanism of their effects. The main AFIFs were found to be hesperidin (13.21 mg/g), neohesperidin (287.26 mg/g), naringin (322.56 mg/g), and narirutin (19.35 mg/g). Based on the network pharmacology and MR analysis results, five targets Caspase 3 (CASP3), CyclinD1 (CCND1), Intercellular adhesion molecule (ICAM), erb-b2 receptor tyrosine kinase 2 (ERBB2), and rubisco accumulation factor 1 (RAF1) were selected, and the interactions between the AFIFs and the targets were studied using AutoDock Vina. The results indicated that glycosidic bonds play an important role in the interactions between AFIFs and both ERBB2 and RAF1.
Deciphering Molecular Mechanisms and Diversity of Plant Holobiont Bacteria: Microhabitats, Community Ecology, and Nutrient Acquisition
Authors: Grzyb Tomasz , Szulc Justyna
Published: December 2024

While gaining increasing attention, plant–microbiome–environment interactions remain insufficiently understood, with many aspects still underexplored. This article explores bacterial biodiversity across plant compartments, including underexplored niches such as seeds and flowers. Furthermore, this study provides a systematic dataset on the taxonomic structure of the anthosphere microbiome, one of the most underexplored plant niches. This review examines ecological processes driving microbial community assembly and interactions, along with the discussion on mechanisms and diversity aspects of processes concerning the acquisition of nitrogen, phosphorus, potassium, and iron—elements essential in both molecular and ecological contexts. These insights are crucial for advancing molecular biology, microbial ecology, environmental studies, biogeochemistry, and applied studies. Moreover, the authors present the compilation of molecular markers for discussed processes, which will find application in (phylo)genetics, various (meta)omic approaches, strain screening, and monitoring. Such a review can be a valuable source of information for specialists in the fields concerned and for applied researchers, contributing to developments in sustainable agriculture, environmental protection, and conservation biology.
Beyond Nucleotide Excision Repair: The Importance of XPF in Base Excision Repair and Its Impact on Cancer, Inflammation, and Aging
Authors: Gohil Dhara , Roy Rabindra
Published: December 2024

DNA repair involves various intricate pathways that work together to maintain genome integrity. XPF (ERCC4) is a structural endonuclease that forms a heterodimer with ERCC1 that is critical in both single-strand break repair (SSBR) and double-strand break repair (DSBR). Although the mechanistic function of ERCC1/XPF has been established in nucleotide excision repair (NER), its role in long-patch base excision repair (BER) has recently been discovered through the 5′-Gap pathway. This study briefly explores the roles of XPF in different pathways to emphasize the importance of XPF in DNA repair. XPF deficiency manifests in various diseases, including cancer, neurodegeneration, and aging-related disorders; it is also associated with conditions such as Xeroderma pigmentosum and fertility issues. By examining the molecular mechanisms and pathological consequences linked to XPF dysfunction, this study aims to elucidate the crucial role of XPF in genomic stability as a repair protein in BER and provide perspectives regarding its potential as a therapeutic target in related diseases.
Delayed Tooth Development and the Impaired Differentiation of Stem/Progenitor Cells in Incisors from Type 2 Diabetes Mice
Authors: Kobayashi Yoshifumi , Huang Jia , Barnett Brandon K. , Falcon Carla Y. , Falcon Paul A. , Hirschberg Craig S. , Fine Daniel H. , Ye Yi , Shimizu Emi
Published: December 2024

Patients with diabetes mellitus (DM) have an increased risk of tooth decay caused by alterations in their tooth development and their oral environment, as well as a tendency to present with pulp infection due to compromised immune response. The present study analyzed the characteristic alterations in tooth development under DM conditions using incisors from db/db type 2 diabetic mouse model (T2DM mice). In micro-CT analyses, T2DM mice showed delayed dentin and enamel formation. Through transcriptomic analyses, pre-ameloblast- and pre-odontoblast-specific genes were found to be significantly decreased in the incisors of T2DM mice, whereas major ameloblast- and mature odontoblast-specific genes were not changed. Stem cell markers were decreased in T2DM mice compared to those from the control mice, suggesting that the stemness of dental pulp cells (DPCs) is attenuated in T2DM mice. In vitro analyses demonstrated that DPCs from T2DM mice have lower colony-forming units (CFU), slower propagation, and diminished differentiation characteristics compared to the control. These data suggest that T2DM conditions could impair the differentiation property of multiple progenitor/stem cells in the tooth, resulting in delayed tooth development in T2DM mice.
Efficient mRNA Delivery In Vitro and In Vivo Using a Polycharged Biodegradable Nanomaterial
Authors: Yang Xuejin , Xiao Jingya , Staveness Daryl , Zang Xiaoyu
Published: December 2024

As RNA rises as one of the most significant modalities for clinical applications and life science research, efficient tools for delivering and integrating RNA molecules into biological systems become essential. Herein, we report a formulation using a polycharged biodegradable nano-carrier, N1-501, which demonstrates superior efficiency and versatility in mRNA encapsulation and delivery in both cell and animal models. N1-501 is a polymeric material designed to function through a facile one-step formulation process suitable for various research settings. Its capability for mRNA transfection is investigated across a wide range of mRNA doses and in different biological models, including 18 tested cell lines and mouse models. This study also comprehensively analyzes N1-501’s application for mRNA transfection by examining factors such as buffer composition and pH, incubation condition, and media type. Additionally, N1-501’s superior in vivo mRNA transfection capability ensures its potential as an efficient and consistent tool for advancing mRNA-based therapies and genetic research.
The Assessment of the Dynamics of Changes in the Torques of Redressing and Derotating Forces Acting on the Spine During Active Kyphosis-Deepening Exercises in the Dynamic Individual Stimulation and Control for Spine Device (DISC4SPINE, D4S)
Authors: Szurmik Tomasz , Bibrowicz Karol , Romaniszyn-Kania Patrycja , Kania Damian , Ogrodzka-Ciechanowicz Katarzyna , Kurzeja Piotr , Mitas Andrzej W.
Published: December 2024

Background: The study aimed to assess the dynamics of changes in the torques of derotating and redressing forces acting on the apexes of deformation curvature arches during active, kyphosis-inducing exercises using the D4S device. Methods: The study group included 12 girls aged 9 to 10 years (age X = 9.36, SD = 1.52; weight X = 31.34 kg, SD = 3.28; height X = 134.23 cm, SD = 8.25). The study was carried out using the D4S interactive spine and posture rehabilitation system with dynamic, personalised stimulation. Measurements were taken during six successive therapeutic visits of each patient, each containing five repeated sets. A single set involved applying pressure on the device heads 20 times for 8 s. For each patient, the resistance head was in the right top (RT) setting, individually adjusted for patient needs. Results: The results showed that the values of the measured moments of the derotating-redressing forces acting on the curvature peak vertebrae ranged from 24.1 N/cm2 to 39.9 N/cm2. The analysis of the differences in the values of the pressure of the derotating head on the spine in subsequent measurements, accounting for all measurements taken in subsequent cycles of the study, indicates significant variation in pressure values (K-W = 31.0660, p = 0.00029 *). Similar dynamics of changes and variation in the results were noted for the values of the pressure applied with the derotating head in subsequent cycles of the study. In this case, the variation in the results was also statistically significant (K-W = 24.4747, p = 0.00018 *). Conclusions: The values of forces increase slightly with the subsequent series of exercises. The assessment of the value of forces may be an element of optimal and more effective training plans in the therapy discussed.