bluuebunny/crossref_metadata_2025 huggingface dataset:
Antimicrobial Stewardship Programmes: Healthcare Providers’ Perspectives on Adopted Hospital Policies That Combat Antibacterial Resistance in Selected Health Facilities in Uganda
Authors: Kimbowa Isaac Magulu , Ocan Moses , Nakafeero Mary , Obua Celestino , Stålsby Lundborg Cecilia , Kalyango Joan , Eriksen Jaran
Published: October 2024

Background: This study aimed to determine healthcare providers’ perspectives on adopted hospital policies that support establishing antimicrobial stewardship programmes (ASPs) in selected health facilities in Uganda. Results: In this study, 63.1% of healthcare providers had a low-level perspective regarding adopting hospital policies to facilitate the establishment of ASPs. The low-perspective was significantly associated with females (aOR: 17.3, 95% CI: 1.28–2.34, p < 0.001), healthcare practitioners aged 50 + years (aOR: 1.92, 95% CI: 1.22–3.01, p = 0.004), individuals in the Obstetrics and Gynaecology department (aOR: 1.73, 95% CI: 1.03–2.90, p < 0.037), and Uganda’s Eastern (aOR: 1.47, 95% CI: 1.03–2.09, p = 0.034) and Northern regions (aOR: 2.97, 95% CI: 1.63–5.42, p < 0.001). Methods: We conducted a cross-sectional study where 582 healthcare providers (response rate (76%) were interviewed using a questionnaire to assess their perspectives on hospital policies that support ASP in 32 selected health facilities. We performed ordinal logistic regression on factors associated with adopted policies, and these were reported with odds ratios (ORs) and 95% confidence intervals (CIs). Conclusions: there was a low-level perspective on adopted hospital policies to support ASPs, which were significantly associated with the sex of healthcare providers, departments, age, and region of the country.
Protective Role of High-Density Lipoprotein in Multiple Sclerosis
Authors: Damiza-Detmer Agnieszka , Pawełczyk Małgorzata , Głąbiński Andrzej
Published: October 2024

Multiple sclerosis (MS) is a chronic, progressive demyelinating disease with a most likely autoimmune background and a neurodegenerative component. Besides the demyelinating process caused by autoreactive antibodies, an increased permeability in the blood–brain barrier (BBB) also plays a key role. Recently, there has been growing interest in assessing lipid profile alterations in patients with MS. As a result of myelin destruction, there is an increase in the level of cholesterol released from cells, which in turn causes disruptions in lipid metabolism homeostasis both in the central nervous system (CNS) and peripheral tissues. Currently, there is a growing body of evidence suggesting a protective role of HDL in MS through its effect on the BBB by decreasing its permeability. This follows from the impact of HDL on the endothelium and its anti-inflammatory effect, mostly by interacting with adhesion molecules like vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), and E-selectin. HDL, through its action via sphingosine-1-phosphate, exerts an inhibitory effect on leukocyte migration, and its antioxidant properties contribute to the improvement of the BBB function. In this review, we want to summarize these studies and focus on HDL as a mediator of the anti-inflammatory response in MS.
Ferulic Acid Alleviates Lipid and Bile Acid Metabolism Disorders by Targeting FASN and CYP7A1 in Iron Overload-Treated Mice
Authors: Liang Yaxu , Qi Jun , Yu Dongming , Wang Zhibo , Li Weite , Long Fei , Ning Shuai , Yuan Meng , Zhong Xiang
Published: October 2024

Iron overload is a common complication in various chronic liver diseases, including non-alcoholic fatty liver disease (NAFLD). Lipid and bile acid metabolism disorders are regarded as crucial hallmarks of NAFLD. However, effects of iron accumulation on lipid and bile acid metabolism are not well understood. Ferulic acid (FA) can chelate iron and regulate lipid and bile acid metabolism, but its potential to alleviate lipid and bile acid metabolism disorders caused by iron overload remains unclear. Here, in vitro experiments, iron overload induced oxidative stress, apoptosis, genomic instability, and lipid deposition in AML12 cells. FA reduced lipid and bile acid synthesis while increasing fatty acid β-oxidation and bile acid export, as indicated by increased mRNA expression of PPARα, Acox1, Adipoq, Bsep, and Shp, and decreased mRNA expression of Fasn, Acc, and Cyp7a1. In vivo experiments, FA mitigated liver injury in mice caused by iron overload, as indicated by reduced AST and ALT activities, and decreased iron levels in both serum and liver. RNA-seq results showed that differentially expressed genes were enriched in biological processes related to lipid metabolism, lipid biosynthesis, lipid storage, and transport. Furthermore, FA decreased cholesterol and bile acid contents, downregulated lipogenesis protein FASN, and bile acid synthesis protein CYP7A1. In conclusion, FA can protect the liver from lipid and bile acid metabolism disorders caused by iron overload by targeting FASN and CYP7A1. Consequently, FA, as a dietary supplement, can potentially prevent and treat chronic liver diseases related to iron overload by regulating lipid and bile acid metabolism.
Exploring the Addition of Mango Peel in Functional Semolina Sourdough Bread Production for Sustainable Bio-Reuse
Authors: Chulibert María Eugenia , Roppolo Pasquale , Buzzanca Carla , Alfonzo Antonio , Viola Enrico , Sciurba Lino , Tinebra Ilenia , D’Amico Angela , Farina Vittorio , Piazzese Daniela , Di Stefano Vita , Barbera Marcella , Gaglio Raimondo , Settanni Luca
Published: October 2024

Mango, a tropical fruit celebrated for its delightful fragrance and high nutritional value, generates significant waste during processing, with approximately 35–60% of the fruit being discarded. However, this waste contains valuable components, such as fibre, carotenoids, polyphenols, and other bioactive compounds. In an effort to repurpose mango peel, this study dehydrated it to create mango peel powder (MPP), which was then incorporated into sourdough bread to produce functional breads with enhanced nutritional value. Semolina was replaced with MPP at levels of 5% (MPP-5) and 10% (MPP-10) (w/w). After dehydration, the mango peel had a yield of 22%, and the procedure used did not cause any organoleptic changes. The bread fermentation process was conducted at 30 °C for 8 h. During dough fermentation, the pH was monitored, showing a value of 4.14 ± 0.02 in the MPP-10 dough. Overall, the MPP-10 bread received a higher score (6.51) than the control (CTR) bread (5.6) and the MPP-5 bread (6.11). The total phenolic content of the fortified breads ranged from 44.760 to 98.931 mg gallic acid equivalents (GAE)/g, and the antiradical activity ranged from 15.213 to 29.461 mmol trolox equivalent antioxidant activity (TEAC)/100 g, depending on the percentage of enrichment.
Antioxidants in Male and Animal Reproduction: Applications and Critical Issues
Authors: Moretti Elena , Signorini Cinzia
Published: October 2024

The Special Issue “Antioxidants in Male Human and Animal Reproduction: In Vitro and In Vivo Studies”, published by Antioxidants and led by us (https://www [...]
Iron (Magnetite) Nanoparticle-Assisted Dark Fermentation Process for Continuous Hydrogen Production from Rice Straw Hydrolysate
Authors: Pérez-Barragán Jacobo , Martínez-Fraile Cristina , Muñoz Raúl , Vargas-Estrada Laura , Maya-Yescas Rafael , León-Becerril Elizabeth , Castro-Muñoz Roberto , García-Depraect Octavio
Published: October 2024

The use of metal nanoparticles (NPs) to enhance hydrogen production in dark fermentation (DF) has become a pioneering field of interest. In particular, iron-based nanoparticles (FeNPs) play a pivotal role in enhancing the activity of metalloenzymes and optimizing feedstock utilization, resulting in improved hydrogen production. This study investigated the effect of FeNPs (magnetite) supplementation at three different concentrations of 50, 100, and 200 ppm in a continuous dark fermenter for the production of hydrogen from rice straw acid hydrolysate. The highest hydrogen production rate of 2.6 ± 0.3 NL H2/L-d was achieved with the addition of 100 ppm of nanoparticles, representing a 53% increase compared to the condition without FeNPs addition. This improvement was driven by a microbial community in which Clostridium was the major dominant genus. In addition, increasing the nanoparticle concentration to 100 ppm resulted in an increase in butyrate concentration to 2.0 ± 0.1 g/L, which is 43% higher than the butyrate concentration without FeNPs. However, when the NP concentration was increased to 200 ppm, the hydrogen production rate decreased to 1.6 ± 0.2 NL H2/L-d. This study can serve as a guideline for future research aimed at evaluating the effects of FeNPs in continuous dark fermentation systems. This work highlights the potential benefits and challenges associated with the use of FeNPs, paving the way for future studies to optimize their application and improve the efficiency of dark fermentation processes.
A Long-Range Lidar Optical Collimation System Based on a Shaped Laser Source
Authors: Feng Shanshan , Mu Yuanhui , Liu Luyin , Liu Ruzhang , Cai Enlin , Wang Shuying
Published: October 2024

Semiconductor near-infrared lasers have been widely used in lidar systems. However, various source types have different shapes and divergence angles, causing more difficulties for long-distance detection. In this paper, an optical collimation system is designed for a long-range lidar system with a shaped laser source (the wavelength is 905 nm, the emitted spot size is 50 µm long by 10 µm wide, and the divergence angles are 33°and 15°, respectively, which are unconventional). On the basis of the traditional method of aspheric lens setting, a pair of asymmetric aspherical lenses were designed using an extended polynomial. The simulation results show that the spot shapes are all close to circular from 100 mm to 30 m and the spot size always remains the same value. The corrected optical system is put into the designed lidar system for verification. It results show that the average divergence angles in the long and short axis directions are 0.06°and 0.07°, which satisfy the project requirements. This optical system designed provides a collimation scheme and expands the application of vehicle-mounted lidar in the field of long-range detection.
Multi-Objective Optimization Strategy for Commercial Vehicle Permanent Magnet Water Pump Motor Based on Improved Sparrow Algorithm
Authors: Pei Wenjun , Xiao Ping , Pan Jiabao , Li Zhihao , Lv Aoning
Published: October 2024

In order to achieve multi-objective optimization for a permanent magnet water pump motor in heavy commercial vehicles, we propose a strategy based on response-surface methodology and the improved sparrow algorithm (CGE-SSA). Firstly, the output capacity of the pump during actual operation was tested with an experimental bench to determine the design parameters of the motor, and then its modeling was completed using Ansys Maxwell 2022r2 software. Secondly, the response-surface model was established by taking the parameters of permanent magnet width, rib width, and slot width as optimization parameters and the output torque (Ta), torque ripple (Tr), and back electromotive force (EMF) amplitude as optimization objectives. Meanwhile, three methods—namely, circular sinusoidal chaotic mapping, improved golden sinusoidal strategy, and adaptive weight coefficients—were used to improve the convergence speed and accuracy of the sparrow search algorithm (SSA). Finally, the multi-objective optimization of the permanent magnet synchronous motor was completed using the improved sparrow algorithm. A comparative analysis of the motor’s output before and after optimization showed that the torque pulsation and reverse electromotive force of the motor were significantly improved after optimization.
The Assessment of the Influence of Low-Frequency Electromagnetic Fields Originated from the Power Infrastructure on Humans’ Health
Authors: Litzbarski Leszek Sławomir , Olesz Marek , Redlarski Grzegorz , Tojza Piotr Mateusz , Żak Arkadiusz , Gifuni Emanuel , Cieślikowska Zuzanna , Czapliński Mieszko
Published: October 2024

The objective of this study is to assess the impact of low-frequency electromagnetic fields (LF EMFs) generated by power infrastructure on the nearby environment. Measurements of electric (E) and magnetic (H) field intensities were conducted around high-voltage power lines, transformer stations and facilities related to them. Numerical simulations were also performed to model the distribution of the field values around real buildings in close proximity to power delivery systems. Given the ongoing scientific debate regarding the effects of EMFs on living organisms, the current analysis was based on the existing standards—particularly ICNIRP 2010 guidelines, which set the maximum allowable E and magnetic induction (B) values at 5 kV/m and 200 μT, respectively. Stricter national regulations were also examined, such as Poland’s 1 kV/m E limit in residential areas and Belgium’s 10 μT limit for B. The results showed that while most cases complied with ICNIRP 2010 standards, certain stricter local regulations were exceeded. Specifically, 9 of 14 cases exceeded Poland’s E limits, and 8 failed to meet Belgium’s B requirements. Only in one place—a warehouse near 110 kV power lines (in a critical case)—the ICNIRP limit B was exceeded. These findings underscore the variability in regulatory standards and highlight the need for localized assessments of EMF exposure.
Positioning Systems for Unmanned Underwater Vehicles: A Comprehensive Review
Authors: Alexandris Christos , Papageorgas Panagiotis , Piromalis Dimitrios
Published: October 2024

Positioning systems are integral to Unmanned Underwater Vehicle (UUV) operation, enabling precise navigation and control in complex underwater environments. This paper comprehensively reviews the key technologies employed for UUV positioning, including acoustic systems, inertial navigation, Doppler velocity logs, and GPS when near the surface. These systems are essential for seabed mapping, marine infrastructure inspection, and search and rescue operations. The review highlights recent technological advancements and examines the integration of these systems to enhance accuracy and operational efficiency. It also addresses ongoing challenges, such as communication constraints, environmental variability, and discrepancies between theoretical models and field applications. Future trends in positioning system development are discussed, with a focus on improving reliability and performance in diverse underwater conditions to support the expanding capabilities of UUVs across scientific, commercial, and rescue missions.
Research on High-Frequency Isolated NPC Three-Level Inverter for Frequency Conversion and Speed Regulation
Authors: Wang Yiying , Gao Longyu , Ma Lifen , Liu Yang , Wu Yanhui , Dai Jikun
Published: October 2024

Mining frequency converters are the primary means for achieving variable frequency speed regulation of electromechanical equipment in coal mines, offering energy-saving benefits for coal mining enterprises. The common power supply method involves converting high voltage to low voltage using power frequency transformers before supplying equipment. However, this integration of power frequency transformers with supply devices occupies significant space, making it unsuitable for confined underground environments. Additionally, they suffer from poor output waveform quality and high harmonic content. To tackle these challenges, this paper presents a three-stage topology for high-frequency isolated frequency conversion and speed regulation, utilizing three-phase uncontrolled rectification, a single active isolated DC/DC converter, and an NPC three-level inverter. The control strategies for each stage are discussed in detail. Simulations and experimental results confirm the validity and feasibility of the proposed design, demonstrating enhanced stability and dynamic performance of the three-stage high-frequency isolated frequency converter.
Cooling Effectiveness of the Sustainable Cooling Solution for Cattle: Case Study in Poland
Authors: Błotny Jagoda , Szczepanowska-Białek Anna , Kupczyński Robert , Budny-Walczak Anna , Rosiek Sabina
Published: October 2024

Recently, the dairy sector has been ever more affected by global warming. This study aimed to test a novel conductive cooling system for cattle that was successfully implemented and evaluated under summer thermally challenging weather conditions in Poland. The system consists mainly of the chiller, tank, and chilled water-driven mattress, designed to prioritize animal well-being. The experimental evaluation was carried out on three Friesian dry cows, housed on different types of bedding—commercial water mattress, straw, and cooling water mattress—and supplied with water at 10 °C (day) and 16 °C (night). The cooling water mattress’ surface temperature was twice as low as that of the commercial water mattress. The animal’s thermal comfort was assessed with physiological and behavioral reactions. The cooling effect on animals’ bodies was demonstrated with a lower reticulorumen temperature of the cooled cow (p < 0.05) than the reference ones. The local effect of cooling was proved with an 8 °C-lower skin temperature after the cow’s resting period. The presented study opens a new research direction toward dairy cattle’s welfare, sustainability, and the food–energy–water nexus, based on potential energy and water savings.
Advancement of Finite Element Method Solver Used in Dam Safety Monitoring System by Interpolation of Pore Pressure and Temperature Values
Authors: Vulovic Snezana , Topalovic Marko , Zivkovic Miroslav , Divac Dejan , Milivojevic Vladimir
Published: October 2024

In this paper, we focused on the advancement of Dam Monitoring Software that incorporates the Finite Element Method (FEM), as these large infrastructure constructions are crucial for ensuring a dependable water supply, irrigation, flood control, renewable electric energy generation, and safe operation, which is of utmost importance to any country. However, the material properties and geotechnical environments of dams can change (deteriorate) over time, while the standards and legal norms that govern them become more and more rigorous, so in order to accurately assess the state of a dam and detect any concerning behavior, the software must be updated as well. The custom-developed FEM solver, unlike many commercial alternatives, is adaptable and can be reconfigured to function within a Dam Monitoring System. In this paper, we present the procedure for interpolating numerical values at measurement points, when the position of the measurement point does not align with the node of the element, allowing for additional instrument locations to be added to the monitored system without the need for remeshing the numerical model. This procedure is used to compare the actual pore pressures and temperature values of the concrete dam structure with the prediction of the numerical model, and the agreement is much greater with the new interpolation algorithm in comparison to the nearest nodal values, with the average relative difference for pore pressure reduced from 8.89% to 8.10%, justifying this implementation.
Egg Yolk, a Multifunctional Emulsifier: New Insights on Factors Influencing and Mechanistic Pathways in Egg Yolk Emulsification
Authors: Suhag Rajat
Published: October 2024

Egg yolk is a highly effective natural emulsifier used in various food products. Its emulsifying properties are influenced by food product chemical conditions, and processing methods. Nevertheless, to effectively utilize egg yolk in food products, a more comprehensive understanding of these factors is crucial. This review discusses recent developments regarding how factors like pH, ionic strength, thermal treatments, enzymatic treatments, and novel non-thermal treatments affect egg yolk emulsifying properties. It also explores the underlying mechanisms involved in egg yolk emulsification. Food products involve different ingredients leading to varying pH values and ionic strength, which affect egg yolk protein adsorption and emulsion stability. Processing steps like thermal treatment can damage egg yolk proteins, reducing their emulsifying capabilities and leading to unstable products. Incorporating sugar, salt, and amino acids can enhance egg yolk’s resistance to heat and preserve its ability to form stable emulsions. As an alternative to thermal treatment, non-thermal techniques such as high-pressure processing and high-intensity ultrasound can be employed to preserve egg yolk. Furthermore, forming egg yolk–polysaccharide complexes can enhance egg yolk emulsifying properties. These advancements have facilitated the creation of egg yolk-based products such as high internal phase Pickering emulsions (HIPEs), low-fat mayonnaise, and egg yolk gels. A comprehensive understanding of the emulsifying mechanisms and factors involved in egg yolk will be instrumental in improving food quality and creating novel egg yolk-based products.
Influence of Large Eddy Generation Mechanisms on the Turbulent Flux Transport in the Unstable Atmosphere Boundary Layer
Authors: Wang Ye , Lan Changxing , Zheng Dan , Li Lei , Wang Baomin
Published: October 2024

The turbulent transport dissimilarity between momentum and scalars and the transport similarity among scalars have been widely investigated in unstable atmospheric boundary layers (ABLs). Although buoyancy and mechanically driven turbulence, along with variations in scalar sources and sinks, are recognized as key factors influencing transport similarity, the specific roles of local thermal plume-generated and nonlocal bulk shear-generated large eddies under varying stability conditions are less explored. This study utilized over four years of eddy covariance data sampled 50 m above a complex suburban canopy to characterize the influence of buoyancy and wind shear on flux transport similarity in an unstable ABL. The time threshold τ method was applied to detect large coherent events, with wind shear enhancing their intensity, while buoyancy primarily affected the ejection–sweep asymmetry of scalars. The dynamics between buoyancy and wind shear were analyzed through separate momentum, heat, and joint transport events. The results show that strong wind shear enhances nonlocal large eddies, reducing momentum–heat transport similarity, whereas strong buoyancy supports localized turbulence. As stability varies, the shift between nonlocal and local eddies alters the trends in co-transport duration and intensity, revealing distinct patterns in the water vapor intensity from that of the sensible heat owing to local sources and sinks.
Radon Concentration Assessment in Urban Romanian Buildings: A Multistory Analysis
Authors: Florică Ștefan , Lupulescu Alexandru-Iulian , Dicu Tiberius , Țenter Ancuța Cristina , Moldovan Mircea-Claudiu , Dobrei Gabriel-Cristian , Copaci Luana , Cucoș Alexandra
Published: October 2024

Radon (Rn 222) is a significant contributor to natural radiation exposure in residential environments such as single-family houses and multistory buildings. This study monitored radon activity concentration (RAC) in 455 apartments in 30 multistory buildings in Buzău, Romania. Integrated measurements of the RAC using CR-39 nuclear track detectors were conducted for a period of 3 to 4 months. The results revealed that the RAC varies between buildings, with an annual average between 33 and 77 Bq/m3. This variation may be attributed to poor ventilation and the chimney effect in common ventilation ducts, which may facilitate radon displacement vertically. Also, apartments with low occupancy or inadequate ventilation showed higher radon levels of up to 285 Bq/m3. The study highlights the potential risk of increased radon exposure in energy-efficient buildings due to poor ventilation, emphasizing the need for special attention to radon mitigation measures in building design. The results emphasize that the RAC is influenced by building characteristics, room use, and ventilation, with significant implications for health risks in urban residential environments.
Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM
Authors: Lv Yanfang , Zhang Lanjie , Fan Wen , Zhang Yibo
Published: October 2024

Using the FY-3G/MWRI-RM observations, this paper proposes a precipitation retrieval method that combines the Synthetic Minority Over-sampling Technique with Light Gradient Boosting Machine (SMOTE-LGBM) and analyzes the impact of MWRI-RM channel settings on precipitation retrieval. The SMOTE-LGBM-based model consists of two LGBM models for precipitation identification and estimation, respectively. The SMOTE method is used to address the imbalance between precipitation and non-precipitation samples. Using the Integrated Multi-Satellite Retrievals for the Global Precipitation Measurement (IMERG) product as a reference, we validate the retrieved precipitation by the SMOTE-LGBM-based model with an independent testing dataset. The critical success indexes are 0.483 and 0.526, and the Pearson correlation coefficients are 0.611 and 0.645 for the ocean and land regions, respectively. The spatial distributions of the retrieved and IMERG accumulated precipitation in the testing dataset are similar. In addition, we visualize and analyze the cases of Meiyu and two typhoons. The results indicate that the SMOTE-LGBM-based model effectively represents the spatial distribution characteristics of precipitation and achieves high agreement with IMERG precipitation products. Overall, the SMOTE-LGBM-based model successfully retrieves precipitation from MWRI-RM and provides accurate precipitation products for FY-3G/MWRI-RM for the first time.
Homogenization of a Thermoelastic Bristly Structure Immersed in a Thermofluid
Authors: Sazhenkov Sergey , Sazhenkova Elena
Published: October 2024

The article considers the mathematical model describing the joint motion of a viscous compressible heat-conducting fluid and a thermoelastic plate with a fine two-level thermoelastic bristly microstructure attached to it. The bristly microstructure consists of a great amount of taller and shorter bristles, which are periodically located on the surface of the plate, and the model under consideration incorporates a small parameter, which is the ratio of the characteristic lengths of the microstructure and the entire plate. Using classical methods in the theory of partial differential equations, we prove that the initial-boundary value problem for the considered model is well-posed. After this, we fulfill the homogenization procedure, i.e., we pass to the limit as the small parameter tends to zero, and, as a result, we derive the effective macroscopic model in which the dynamics of the interaction of the ‘liquid–bristly structure’ is described by equations of two homogeneous thermoviscoelastic layers with memory effects. The homogenization procedure is rigorously justified by means of the Allaire–Briane three-scale convergence method. The developed effective macroscopic model can potentially find application in further mathematical modeling in biotechnology and bionics taking account of heat transfer.
Existence of Solutions for a Perturbed N-Laplacian Boundary Value Problem with Critical Growth
Authors: Shi Sheng , Yang Yang
Published: October 2024

In this paper, we investigate a perturbed elliptic boundary value problem that exhibits critical growth characterized by a Trudinger–Moser-type inequality. Our primary focus is to establish the existence of two nontrivial solutions. This is achieved by employing a combination of the Trudinger–Moser-type inequality and a linking theorem based on the Z2-cohomological index. The main feature and novelty of this paper lies in extending the equation to N-Laplacian boundary value problems utilizing the aforementioned methods. This extension not only broadens the applicability of these techniques but also enriches the research outcomes in the field of nonlinear analysis.
Teledentistry for Pediatric Dental Emergency: Comparison Between Experienced and Novice Users
Authors: Huang Chih-Chieh , Chen Jung-Wei
Published: October 2024

Background: During the COVID-19 pandemic, teledentistry was often employed for pediatric emergency treatments. Dental students acted as the first health providers using teledentistry under the supervision of faculties in most hospital-based or university-based medical centers during the lockdown period. The aims of this study were to assess the quality of using teledentistry among general dentists (GDs) and dental students (DSs) for managing pediatric dental emergencies. Methods: In total, 60 DSs and 85 GDs were recruited in this study. Each participant was assigned to one of five teledentistry emergency scenarios in pediatric dentistry using a stratified random assignment method. Teledentistry with five emergency scenario simulations was used to evaluate the quality of diagnosis (QD) and treatment (QT) and the detailed information (DI) among all participants. A post-visit survey collected demographic data, usability, confidence in diagnosis (CD), and confidence in treatment recommendation (CT). Descriptive and inferential statistics data were analyzed. The significance level was set as p < 0.05. Results: Overall, the study showed that GDs and DSs can use teledentistry to provide good quality of diagnosis (74.5%) and treatment recommendations (77.2%). When encountering pediatric dental emergency scenarios, GDs scored significantly higher (p < 0.001) than DSs regarding QD, QT, CD, and CT. Significant differences were noted in QD (p < 0.001), QT (p < 0.001), CD (p = 0.045), and DI (p = 0.042) when the subjects encountered five different scenarios. Significant correlations were noted between the amount of detailed information subjects obtained with the quality of diagnosis and treatment recommendation. Confidence in diagnosis is significantly correlated to the quality of diagnosis (p = 0.034) and treatment recommendation (p = 0.042). However, the confidence in treatment recommendation is not correlated with either QD or QT. Both GDs and DSs hold positive attitudes toward the usability of teledentistry. Conclusions: Teledentistry is effective for diagnosing and managing pediatric dental emergencies. Experienced users provided a better quality of visit compared to novice users, so dental students should be supervised when performing a teledentistry visit.
Reverse Vaccinology Integrated with Biophysics Techniques for Designing a Peptide-Based Subunit Vaccine for Bourbon Virus
Authors: Almanaa Taghreed N.
Published: October 2024

Despite the seriousness of the disease carried by ticks, little is known about the Bourbon virus. Only three US states have recorded human cases of Bourbon virus (BRBV) infection; in all cases, a tick bite was connected with the onset of the illness. The Bourbon virus (BRBV) belongs to the Orthomyxoviridae family and Thogotovirus genus, originating in the states of the US, i.e., Kansas, Oklahoma and Missouri. The growing rates of BRBV infections in various parts of the US highlight the necessity for a thorough analysis of the virus’s transmission mechanisms, vector types and reservoir hosts. Currently, there are no vaccines or efficient antiviral therapies to stop these infections. It is imperative to produce a vaccination that is both affordable and thermodynamically stable to reduce the likelihood of future pandemics. Various computational techniques and reverse vaccinology methodologies were employed to identify specific B- and T-cell epitopes. After thorough examination, the linker proteins connected the B- and T-cell epitopes, resulting in this painstakingly constructed vaccine candidate. Furthermore, 3D modeling directed the vaccine construct toward molecular docking to determine its binding affinity and interaction with TLR-4. Human beta-defensin was used as an adjuvant and linked to the N-terminus to boost immunogenicity. Furthermore, the C-IMMSIM simulation resulted in high immunogenic activities, with activation of high interferon, interleukins and immunoglobulin. The results of the in silico cloning process for E. coli indicated that the vaccine construct will try its utmost to express itself in the host, with a codon adaptation CAI value of 0.94. A net binding free energy of −677.7 kcal/mol obtained during docking showed that the vaccine has a high binding affinity for immunological receptors. Further validation was achieved via molecular dynamic simulations, inferring the confirmational changes during certain time intervals, but the vaccine remained intact to the binding site for a 100 ns interval. The thermostability determined using an RMSF score predicted certain changes in the mechanistic insights of the loop region with carbon alpha deviations, but no major changes were observed during the simulations. Thus, the results obtained highlight a major concern for researchers to further validate the vaccine’s efficacy using in vitro and in vivo approaches.
Divergent Changes in Soil Iron-Bound Organic Carbon Between Distinct Determination Methods
Authors: Yang Lei , Yang Hui , Sun Ganggang , Wang Xueqin , Zheng Tianli
Published: October 2024

Fe-OC is crucial for SOC preservation in the global ecosystem. However, there is still significant uncertainty in the determination methods of Fe-OC, and these methods are often not calibrated to each other, making the Fe-OC content by different methods impossible to compare. Here, Fe-OC is analyzed by the CBD method and the SD method from 45 soils from different land types (e.g., wetland, grassland, and forest) to compare and analyze the uncertainty and influencing factors between the two methods. Our results showed that the Fe-OC contributions to SOC (fFe-OC) measured by CBD and SD methods were significantly lower in the wetland ecosystem than in grassland and forest ecosystems. The Fe-OC content and fFe-OC in the grassland ecosystem was significantly higher using the CBD method compared to the SD method, with no significant difference between the methods in wetland and forest ecosystems. The random forest model revealed that Fe-OCCBD content was mainly affected by C/N, Clay%, and TC, whereas SOC, total nitrogen, and soil inorganic carbon were the main influences on Fe-OCSD. Taken together, our findings highlight the importance of incorporating ecosystem types and soil properties into soil carbon estimation models when predicting and estimating Fe-OC and its contribution to SOC.
Copaiba Oleoresin Improves Weight Gain and IL-10 Concentration, with No Impact on Hepatic Histology, in Liver Cirrhosis
Authors: Taffarel Maiara , Silva Bianca Sulzbacher da , Paulino Angélica Macedo Borgês , Telles Luciana Ortega , Mendonça Sabrina Trigueiro , Santos Cintia Vieira dos , Giordani Morenna Alana , Nascimento André Ferreira , Aguiar Danilo Henrique , Sinhorin Valéria Dornelles Gindri , Andrighetti Carla Regina , Luvizotto Renata de Azevedo Melo , Bomfim Gisele Facholi
Published: October 2024

Copaifera sp. is a native tree in the Amazon region. Copaiba oleoresin has components such as sesquiterpenes, which have anti-inflammatory and antioxidant potential. Liver cirrhosis is the end stage of liver disease with limited therapeutic options. We aimed to evaluate the effect of copaiba oleoresin supplementation on the liver of animals with thioacetamide (TAA)-induced cirrhosis. For the induction of liver cirrhosis, 100 mg/kg of TAA was administered intraperitoneally twice a week for 8 weeks. A total of 200 mg/kg/day of copaiba oleoresin was administered via gavage for the same period. Copaiba oleoresin supplementation improved cirrhosis-associated cachexia by increasing weight gain and body fat. In addition, copaiba oleoresin attenuated systemic inflammation, as shown by the decrease in the circulating C-reactive protein. In the liver, the copaiba oleoresin decreased carbonyl proteins and increased IL-10 compared with TAA-treated rats. TAA groups demonstrated increased SOD, catalase, GST, and GSH activity in the liver. In conclusion, the supplementation of copaiba oleoresin demonstrated a beneficial systemic effect in alleviating cirrhotic cachexia and antioxidant and anti-inflammatory action in the liver. However, it failed to improve the serological and histological markers of liver damage, which could be associated with the advanced stage of the disease.
Modulation of the Immune Environment in Glioblastoma by the Gut Microbiota
Authors: Green George B. H. , Cox-Holmes Alexis N. , Potier Anna Claire E. , Marlow Gillian H. , McFarland Braden C.
Published: October 2024

Studies increasingly support the role of the gut microbiota in glioma development and treatment, although the exact mechanisms remain unclear. Research indicates that the gut microbiota can influence glioma progression, response to therapies, and the effectiveness of treatments like immunotherapy, with certain microbial compositions being linked to better outcomes. Additionally, the gut microbiota impacts the tumor microenvironment, affecting both tumor growth and the response to treatment. This review will explore glioma, the gut microbiota, and how their interaction shapes glioma development and therapy responses. Additionally, this review examines the influence of gut microbiota metabolites, such as short-chain fatty acids (SCFAs) and tryptophan, on glioma development and treatment. It also explores gut microbiome signaling via pattern recognition receptors, and the role of molecular mimicry between microbial and tumor antigens in glioblastoma, and if these interactions affect glioma development and treatment.
Abnormal EEG Effects of Acute Apomorphine Injection in 5xFAD Transgenic Mice Are Partially Normalized in Those Chronically Pretreated with Apomorphine: The Time–Frequency Clustering of EEG Spectra
Authors: Vorobyov Vasily , Deev Alexander
Published: October 2024

Background: In experimental and clinical studies of pharmacological treatments for Alzheimer’s disease (AD), the electroencephalogram (EEG) frequency spectrum approach has demonstrated its efficacy in determining the characteristics of pathological changes in the functioning of different cerebral structures, interconnections between them, and disturbances in the brain neurotransmitter systems. The main results have been obtained in frames of traditionally used so-called “classical” EEG frequency bands: delta, theta, alpha, and beta. Objective: This unified approach simplifies comparing data from different studies but loses the dynamic peculiarities of the effects because of their time-dependent transition through the borders of the “classical” bands. Methods: In this study on non-narcotized freely moving 5xFAD transgenic mice, a model of AD, chronically pretreated with a non-selective dopamine (DA) receptor agonist, apomorphine (APO), we analyze the transitory EEG effects of acute APO injection in different brain areas by use of our “time–frequency” clustering program. The acute injection of APO was used to compare DA receptor sensitivity in 5xFAD mice pretreated with either APO or saline vs. wild-type (WT) mice pretreated with saline. Results: After acute APO injection, the clusters of enhanced EEG activity centered in the theta–alpha frequency range observed in WT mice disappeared in 5xFAD mice pretreated with saline and practically recovered in 5xFAD mice pretreated with APO. Conclusions: In 5xFAD mice pretreated with saline, the sensitivity of DA receptors was disturbed; chronic APO pretreatment mainly recovered this characteristic in 5xFAD mice. The “clustering” of pharmacological EEG effects and their time-dependent transition between classical frequency bands is a new effective approach for analyzing cerebral neurotransmission in neurodegenerative pathologies.
Enhanced Mechanical Properties and Degradation Control of Poly(Lactic) Acid/Hydroxyapatite/Reduced Graphene Oxide Composites for Advanced Bone Tissue Engineering Application
Authors: Omigbodun Francis T. , Oladapo Bankole I.
Published: October 2024

This study explores the enhancement of poly(lactic acid) (PLA) matrix using calcium hydroxyapatite (cHAP) and reduced graphene oxide (rGO) for developing composite scaffolds aimed at bone regeneration applications. The PLA composites were fabricated through solvent evaporation and melt extrusion and characterized by various techniques, including thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and mechanical testing. The incorporation of cHAP and rGO significantly improved the thermal, mechanical, and morphological properties of the PLA matrix. Mechanical testing revealed that adding 10% cHAP and varying amounts of rGO (0.1%, 0.3%, 0.5%) enhanced tensile and compressive strengths, with the highest improvements observed at 0.5% rGO content. Thermal analysis showed increased thermal stability with higher degradation temperatures for the composites. Spectroscopic analyses confirmed the effective integration of cHAP and rGO into the PLA matrix with characteristic peaks of the fillers identified in the composite spectra. In vitro, degraded action tests in phosphate-buffered saline (PBS) at pH 7.4 over 12 months indicated that composites with higher rGO content exhibited lower mass loss and better mechanical stability. Furthermore, finite element analysis (FEA) simulations were performed to validate the experimental results, demonstrating a strong correlation between simulated and experimental compressive strengths. This novel approach demonstrates the potential of PLA/cHAP/rGO composites in creating effective and biocompatible scaffolds for tissue engineering, providing a comprehensive analysis of the synergistic effects of cHAP and rGO on the PLA matrix and offering a promising material for bone regeneration applications.
The “Emorality” of Caring: Validation of an Empirical Model of the Moral Feelings of Affective Care in Teaching Communities
Authors: Rodríguez-Hernández Antonio , Sepúlveda-Aravena Joaquín , Melgarejo-Coronel Mariela , Lores Isabel Duarte
Published: October 2024

This article presents a study that addresses the challenge of establishing a relationship between the axiological and the affective, by validating a structural model through an assessment instrument (SEMORCUNA) that isolates the moral feelings associated with ‘affective care’. The research sample consisted of 222 teachers, all of whom were either in training or were active professionals in the teaching field. To achieve the research objectives, a group of experts selected a total of 11 moral sentiments, based on which Principal Component Analysis was conducted. Subsequently, Cronbach’s alpha was calculated to determine the internal consistency of the factors obtained. Confirmatory factor analysis was also performed. The results indicate that the selected feelings are part of a single factor. We conclude that all the emotional–moral experiences included in the test are empirically associated with the value of affective care. This work provides a tool to study the degree of teacher identification with the moral feelings that characterize the school as a ‘learning caring institution’, which is a fundamental condition for ensuring ‘resilient educational communities’.
The Illusion of Competence: A Qualitative Deep Dive into Workplace False Performance
Authors: Dunnion Marie Frances , Gbadamosi Gbolahan , Francis-Smythe Jan
Published: October 2024

This qualitative paper develops an understanding of False Performance as a negative form of workplace behaviour which has received scant attention. According to the quantitative literature, which measures False Performance using the Organisational Charlatan Scale (OCS), false performers are incompetent employees who deliberately portray themselves as better able to perform in a job role than they know themselves to be capable. In this study, False Performance was explored in United Kingdom public-sector organisations for the first time, using novel focus-group methodology and grounded theory. Eight focus groups (n = 51) were conducted to explore employees’ perceptions and experiences of False Performance, with a focus on job interviews and performance appraisals. Using NVivo for analysis, five categories emerged: Co-Worker Perceptions of False Performance in the Workplace, False Performance in Interview/Appraisal Settings, The Impact of Trust on the False Performer, The Effect of False Performance on Co-Worker Morale, and Preventing False Performance in the Workplace. The results support the literature review that False Performance is a new and negative addition to the taxonomies of job performance. Human resources (HR) managers are, therefore, urged to prevent and reduce False Performance via well-designed selection processes and performance appraisals, thereby improving co-worker trust amongst employees.
Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction
Authors: Luo Weibin , Zheng Junxing , Miao Yu , Gao Lin
Published: October 2024

This paper presents an IoT-based solution for detecting grouting voids in tunnel construction using the Raspberry Pi microcomputer. Voids between the primary and secondary tunnel linings can compromise structural integrity, and traditional methods like GPR lack continuous feedback. The proposed system uses embedded electrical wires in the secondary lining to measure conductivity, with disruptions indicating unfilled voids. The Raspberry Pi monitors this in real time, uploading data to a cloud platform for engineer access via smartphone. Field tests were conducted in a full-scale, 600 m long tunnel to evaluate the system’s effectiveness. The tests demonstrated the system’s accuracy in detecting voids in various tunnel geometries, including straight sections, curves, and intersections. Using only the proposed void detection system, the largest void detected post-grouting was 1.8 cm, which is within acceptable limits and does not compromise the tunnel’s structural integrity or safety. The system proved to be a cost-effective and scalable solution for real-time monitoring during the grouting process, eliminating the need for continuous manual inspections. This study highlights the potential of IoT-based solutions in smart construction, providing a reliable and practical method for improving tunnel safety and operational efficiency during grouting operations.
Enhanced Hybrid U-Net Framework for Sophisticated Building Automation Extraction Utilizing Decay Matrix
Authors: Wang Ting , Gong Zhuyi , Tang Anqi , Zhang Qian , Ge Yun
Published: October 2024

Automatically extracting buildings from remote sensing imagery using deep learning techniques has become essential for various real-world applications. However, mainstream methods often encounter difficulties in accurately extracting and reconstructing fine-grained features due to the heterogeneity and scale variations in building appearances. To address these challenges, we propose LDFormer, an advanced building segmentation model based on linear decay. LDFormer introduces a multi-scale detail fusion bridge (MDFB), which dynamically integrates shallow features to enhance the representation of local details and capture fine-grained local features effectively. To improve global feature extraction, the model incorporates linear decay self-attention (LDSA) and depthwise large separable kernel multi-layer perceptron (DWLSK-MLP) optimizations in the decoder. Specifically, LDSA employs a linear decay matrix within the self-attention mechanism to address long-distance dependency issues, while DWLSK-MLP utilizes step-wise convolutions to achieve a large receptive field. The proposed method has been evaluated on the Massachusetts, Inria, and WHU building datasets, achieving IoU scores of 76.10%, 82.87%, and 91.86%, respectively. LDFormer demonstrates superior performance compared to existing state-of-the-art methods in building segmentation tasks, showcasing its significant potential for building automation extraction.