bluuebunny/crossref_metadata_2025 huggingface dataset:
Red Beetroot and Its By-Products: A Comprehensive Review of Phytochemicals, Extraction Methods, Health Benefits, and Applications
Authors: Stoica Florina , Râpeanu Gabriela , Rațu Roxana Nicoleta , Stănciuc Nicoleta , Croitoru Constantin , Țopa Denis , Jităreanu Gerard
Published: January 2025

Beetroot (Beta vulgaris), a root vegetable known for its vivid natural color and nutritional profile, is a source of a wide range of bioactive compounds, including betalains, phenolics, vitamins, and antioxidants. These bioactive compounds are associated with many health-promoting properties, including antihypertensive, antioxidant, anti-inflammatory, and anticancer effects. The beetroot processing industry produces substantial by-products abundant in phytochemicals and betalains, presenting valuable opportunities for utilization. Therefore, it can replace synthetic additives and enhance the nutritional value of foods. By reducing waste and supporting a circular economy, beetroot by-products improve resource efficiency, cut production costs, and lessen the food industry’s environmental impact. Beetroot and its by-products are rich in phytochemicals that provide various wellness advantages. They support cardiovascular health, inhibit microbe-induced food spoiling, aid liver function, and reduce inflammation and oxidative stress. This paper presents a detailed review of current knowledge on beetroot and its by-products, focusing on their biochemical components, extraction and stabilization techniques, health benefits, and potential applications in the food industry. It underscores the versatility and importance of red beetroot and its derivatives, advocating for further research into optimized processing methods and innovative uses to enhance their industrial and nutritional value. By providing valuable insights, this review aims to inspire food scientists, nutritionists, and the agricultural sector to integrate beetroot and its by-products into more sustainable and health-oriented food systems.
Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization
Authors: Silva Italo Francyles Santos da , Araújo Alan de Carvalho , Almeida João Dallyson Sousa de , Paiva Anselmo Cardoso de , Silva Aristófanes Corrêa , Roehl Deane
Published: January 2025

The pore structure plays a crucial role in soil systems. It affects a range of processes essential for soil ecological functions, such as the transport and retention of water and nutrients, as well as gas exchanges. The mechanical and hydrological characteristics of soil are predominantly determined by the three-dimensional pore pore-space structure. A precise analysis of pore structure can help specialists understand how these shapes impact plant root activity, leading to better cultivation practices. X-ray computed tomography provides detailed information without destroying the sample. However, manually delineating pore structure and estimating porosity are challenging tasks. This work proposes an automated method for 3D pore segmentation and characterization using convolutional neural networks with attention mechanisms. The method introduces a novel approach that combines attention at both channel and spatial levels, enhancing the segmentation and property estimation, providing valuable insights for a more detailed study of soil conditions. In experiments conducted with a private dataset, the segmentation results achieved mean Dice values of 99.10% ± 0.0004 and mean IoU values of 98.23% ± 0.0008. Additionally, in tests with Phaeozem Albic, the automatic method provided porosity estimates comparable to those obtained by a method based on integral geometry and morphology.
AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses
Authors: Kapetas Dimitrios , Christakakis Panagiotis , Faliagka Sofia , Katsoulas Nikolaos , Pechlivani Eleftheria Maria
Published: January 2025

Insecticide use in agriculture has significantly increased over the past decades, reaching 774 thousand metric tons in 2022. This widespread reliance on chemical insecticides has substantial economic, environmental, and human health consequences, highlighting the urgent need for sustainable pest management strategies. Early detection, insect monitoring, and population forecasting through Artificial Intelligence (AI)-based methods, can enable swift responsiveness, allowing for reduced but more effective insecticide use, mitigating traditional labor-intensive and error prone solutions. The main challenge is creating AI models that perform with speed and accuracy, enabling immediate farmer action. This study highlights the innovating potential of such an approach, focusing on the detection and prediction of black aphids under state-of-the-art Deep Learning (DL) models. A dataset of 220 sticky paper images was captured. The detection system employs a YOLOv10 DL model that achieved an accuracy of 89.1% (mAP50). For insect population prediction, random forests, gradient boosting, LSTM, and the ARIMA, ARIMAX, and SARIMAX models were evaluated. The ARIMAX model performed best with a Mean Square Error (MSE) of 75.61, corresponding to an average deviation of 8.61 insects per day between predicted and actual insect counts. For the visualization of the detection results, the DL model was embedded to a mobile application. This holistic approach supports early intervention strategies and sustainable pest management while offering a scalable solution for smart-agriculture environments.
Effects of Hydrothermal Carbonization Conditions on the Characteristics of Hydrochar and Its Application as a Soil Amendment: A Review
Authors: Wang Xuyang , Duo Jia , Jin Zhengzhong , Yang Fan , Lai Tianyi , Collins Elendu
Published: January 2025

Hydrochar (HC) has received increasing attention due to its potential impact on soil amendment. The process parameters of hydrothermal carbonization (HTC) have a significant impact on the characterization of HC, and HC as a soil amendment has effects on soil properties. Therefore, this work summarizes the effects of feedstock type, temperature, residence time, and solid–liquid ratio on the characteristics of HC, and analyzes the effects of HC on soil by HC addition. The feedstock type determined the characteristics of the HC. Temperature had the greatest effect on HC properties, while residence time had a similar but smaller effect than temperature had. The residence time did not affect the characteristics of the HC when HTC was carried out to a certain extent. Solid–liquid ratio determined the characteristics of HC, but research in this area is lacking. Moisture is a crucial factor in plant growth. Compared to other soils, HC significantly increased the water-holding capacity (WHC) in sandy soils. HC is rich in nutrients and micronutrients, making it potentially useful as a fertilizer. The toxicity of HC may inhibit plant growth but may be ignored for poor soil. This review aims to provide recommendations for HC as a soil amendment and to identify areas where further research is needed.
Effect of Seed Treatment and Sowing Time on Microdochium spp. Caused Root Rot in Winter Wheat Cultivars
Authors: Sabeckis Aurimas , Semaškienė Roma , Jonavičienė Akvilė , Venslovas Eimantas , Lavrukaitė Karolina , Almogdad Mohammad
Published: January 2025

Microdochium species are harmful pathogens of winter cereals, causing snow mould and stem base diseases such as root rot. With changing climatic conditions, including prolonged wet autumns and mild winters, addressing pathogens that thrive at low positive temperatures has become increasingly important. Integrated strategies, including optimized sowing times, resistant cultivars, and the use of seed treatment fungicides have been suggested as effective approaches to mitigate Microdochium-induced damage. Field trials were conducted between 2021 and 2024 using five winter wheat cultivars treated with different seed treatment fungicides and sown at either optimal or delayed sowing times. Laboratory analyses identified Microdochium spp. as the dominant pathogens on the stem base across all trial years. Disease severity assessments indicated that seed treatment fungicides were generally effective against root rot, with products containing fludioxonil and SDHI group fungicides delivering the best performance. While disease pressure varied between optimal and late sowing experiments, late-sown winter wheat exhibited slightly reduced damage in most years. Additionally, some of the tested winter wheat cultivars demonstrated better performance against Microdochium spp. damage compared to others, highlighting the importance of selecting resistant cultivars. This study provides valuable insights into the control of Microdochium spp. under changing climatic conditions, particularly during the early growth stages of winter wheat.
Unravelling Faecal Microbiota Variations in Equine Atypical Myopathy: Correlation with Blood Markers and Contribution of Microbiome
Authors: François Anne-Christine , Cesarini Carla , Taminiau Bernard , Renaud Benoît , Kruse Caroline-Julia , Boemer François , van Loon Gunther , Palmers Katrien , Daube Georges , Wouters Clovis P. , Lecoq Laureline , Gustin Pascal , Votion Dominique-Marie
Published: January 2025

Hypoglycin A and methylenecyclopropylglycine are protoxins responsible for atypical myopathy in equids. These protoxins are converted into toxins that inhibit fatty acid β-oxidation, leading to blood accumulation of acylcarnitines and toxin conjugates, such as methylenecyclopropylacetyl-carnitine. The enzymes involved in this activation are also present in some prokaryotic cells, raising questions about the potential role of intestinal microbiota in the development of intoxication. Differences have been noted between the faecal microbiota of cograzers and atypical myopathy-affected horses. However, recent blood acylcarnitines profiling revealed subclinical cases among cograzers, challenging their status as a control group. This study investigates the faecal microbiota of horses clinically affected by atypical myopathy, their cograzers, and a control group of toxin-free horses while analysing correlations between microbiota composition and blood parameters. Faecal samples were analysed using 16S amplicon sequencing, revealing significant differences in α-diversity, evenness, and β-diversity. Notable differences were found between several genera, especially Clostridia_ge, Bacteria_ge, Firmicutes_ge, Fibrobacter, and NK4A214_group. Blood levels of methylenecyclopropylacetyl-carnitine and C14:1 correlated with variations in faecal microbial composition. The theoretical presence of enzymes in bacterial populations was also investigated. These results underscore the critical need to investigate the potential role of intestinal microbiota in this poisoning and may provide insights for developing prevention and treatment strategies.
Translational Clinical Research: Use of Allogeneic Platelet-Rich Fibrin (PRF) for Wound Regeneration in Two Small-Sized Dogs
Authors: Soares Carla S. , Dias Isabel R. , Barros Luís C. , Carvalho Pedro P. , Pires Maria dos Anjos
Published: January 2025

Platelet-rich fibrin (PRF) is a recent regenerative biomaterial applied in clinical wound healing. This study aims to evaluate the safety and efficacy of allogeneic PRF therapy as a regenerative methodology for treating skin wounds in two small dogs. A Miniature Pinscher and a mixed breed dog weighing 3.6 and 9.5 kg, aged 5 and 10 years, with extensive skin wounds implicating significant tissue loss and with abundant yellow exudate were allocated to this study. Each allogenic PRF treatment was derived from screened donors and consisted of grafting PRFs at the wound recipient area. Nevertheless, the blood group of the donor or recipient was not considered. The wound from case 1 received three PRF treatments during the initial two weeks of treatment, and case 2 received four PRF treatments, followed by single weekly ones. The utilization of PRFs was suspended as soon as relevant wound contraction and epithelization were observed. Both animals received systemic antibiotics prescribed at the emergency room by the first clinician. The wounds were cleaned using sterile saline only. Two weeks later, the lesions had reduced by more than 80%. All lesions exhibited aesthetic and uneventful healing. No rejection, necrosis, or infection signs were observed. PRF acted as a regenerative biomaterial, forming vascularized granulation tissue, followed by epithelization and wound resolution.
Effects of Turmeric and Rosemary Extract on Oxidative Stress Markers in Goats
Authors: Urbańska Daria M. , Kurhaluk Natalia , Tkaczenko Halyna , Rutkowska Karolina , Kawecka-Grochocka Ewelina , Brzozowska Paulina , Czopowicz Michał , Mickiewicz Marcin , Kaba Jarosław , Bagnicka Emilia
Published: January 2025

Background: Due to their versatility, goats are becoming popular as livestock on commercial farms. To obtain a high productivity, the maintenance of homeostasis in these organisms is needed. Some supplements that could help improve their health state have been tested recently. The study examines the effects of a turmeric–rosemary extract mixture on the antioxidant status of the blood of young castrated bucks. Results: Supplementation lowered lipoperoxidation and increased TAC, probably due to the improved neutralization of reactive oxygen species (ROS) by enhanced antioxidant pathways. Despite lowering lipid peroxidation, these products can increase protein oxidation. Thus, while enhancing lipid defense mechanisms may reduce lipid peroxidation, it may also increase the level of OMP, probably due to the accumulation of lipid peroxidation metabolites. The activities of SOD, GPx, and GR remained unchanged, whereas CAT activity decreased. CP, ALT, and AST remained stable, suggesting no adverse effects on key markers of liver function. Conclusions: The high antioxidant potential observed after supplementation indicates that the turmeric–rosemary extract mixture elicited a favorable biochemical response; the supplemented compounds effectively enhanced antioxidant defenses (by improving the neutralization of ROS) without negatively affecting liver enzyme activities. Turmeric–rosemary dry extract supplementation can help with homeostasis maintenance in goat organisms and, consequently, improve their productivity.
Antioxidants in Age-Related Macular Degeneration: Lights and Shadows
Authors: Parmar Uday Pratap Singh , Surico Pier Luigi , Mori Tommaso , Singh Rohan Bir , Cutrupi Francesco , Premkishore Pramila , Gallo Afflitto Gabriele , Di Zazzo Antonio , Coassin Marco , Romano Francesco
Published: January 2025

Age-related macular degeneration (AMD) is a leading cause of vision impairment worldwide, primarily driven by oxidative stress and inflammation. This review examines the role of antioxidants in mitigating oxidative damage, emphasizing both their therapeutic potential and limitations in AMD management. Key findings underscore the efficacy of specific antioxidants, including vitamins C and E, lutein, zeaxanthin, and Coenzyme Q10, in slowing AMD progression. Landmark studies such as AREDS and AREDS2 have shaped current antioxidant formulations, although challenges persist, including patient variability and long-term safety concerns. Emerging therapies, such as mitochondrial-targeted antioxidants and novel compounds like saffron and resveratrol, offer promising avenues for AMD treatment. Complementary lifestyle interventions, including antioxidant-rich diets and physical activity, further support holistic management approaches. This review highlights the critical role of antioxidants in AMD therapy, advocating for personalized strategies to optimize patient outcomes.
Towards Personalized Recovery in Handball? The Effects of Playing Positions and Player Role on Internal Match Load and Well-Being Responses in Female Players
Authors: García-Sánchez Carlos , Nieto-Acevedo Raúl , Lorenzo-Calvo Jorge , Marquina Nieto Moisés , Navarro Rafael Manuel , de la Rubia Alfonso
Published: January 2025

The aim of this study was to analyze the effects of the playing position (backs vs. pivots vs. wings) and the player role (starter vs. non-starter) on the internal match load and well-being status of female handball players after official matches. Fourteen female handball players from the Spanish 2nd Division were monitored during a half-season (13 matches, n = 102 individual observations) using the rate of perceived exertion (match RPE) and the Hooper questionnaire in MD+1 and MD+2. Differences in match RPE according to playing positions and player roles were determined by one-way ANOVA or by a paired t-test, respectively. Differences in well-being status according to playing positions or player roles and time (MD+1 and MD+2) were assessed through mixed two-way ANOVA. Furthermore, partial eta-squared (ηp2) and Cohen’s d (ES) were calculated and interpreted using Hopkins’ categorization criteria. Backs registered moderately more match RPE compared to pivots (p < 0.05, ES = 0.84). By contrast, wings experienced the highest values of fatigue and muscle soreness in MD+1 and MD+2 compared to all other playing positions (p < 0.05, ES = 0.66–0.93). Also, the wings reported moderately higher Hooper index scores in MD+1 and MD+2 than backs (p < 0.01, ES = 0.73–0.77). In relation to the player role, starters reported higher absolute values of match RPE, fatigue, muscle soreness, and the Hooper index in MD+1 compared to non-starters (p < 0.05, ES = 0.25–0.29). Additionally, regardless of the playing position and the role, all of the players reported moderately less fatigue and Hooper index scores in MD+2 compared to MD+1 (p < 0.05, ES = 0.66–1.34). Therefore, coaches and practitioners should consider the internal match load and well-being status of players to implement different training stimuli (e.g., recovery or compensatory strategies) in MD+1 according to playing positions and player roles.
Experimental Comparative Study on Self-Imputation Methods and Their Quality Assessment for Monthly River Flow Data with Gaps: Case Study to Mures River
Authors: Magyari-Sáska Zsolt , Haidu Ionel , Magyari-Sáska Attila
Published: January 2025

Incomplete environmental datasets pose significant challenges in developing accurate predictive models, particularly in hydrological research. This study addresses data missingness by investigating gap imputation methodologies for datasets with 5–20% data absence, focusing on the Mureș River in Romania. Utilizing a novel approach, we applied various imputation techniques, including the ratio method, Kalman filtering, and machine learning algorithms (XGBoost, Gradient Boosting, Random Forest and CatBoost), while developing an innovative self-assessment metric for evaluating imputation performance without relying on external reference data. Through systematic analysis of hydrological station data from four monitoring points, we artificially introduced data gaps to rigorously test method applicability. The research demonstrates the feasibility of constructing a robust self-evaluation framework for selecting optimal imputation techniques, potentially enhancing data reliability and analytical precision in environmental and geospatial research. Our findings contribute a structured methodology for addressing data incompleteness, offering researchers a quantitative approach to improving dataset integrity and predictive modeling in complex environmental systems.
Editorial for the Special Issue “Recent Advances in Exploration Geophysics”
Authors: Ciążela Jakub
Published: January 2025

Exploration geophysics aims to determine rocks’ mechanical, magnetic, and electric properties to support geological explorations for ore, minerals, and other resources [...]
Synchronous Remote Calibration for Electricity Meters: Application and Optimization
Authors: Zha Zhiyong , Ge Hanfang , Zou Chengcheng , Long Fei , He Xingfeng , Wu Geng , Dong Chenxi , Deng Tianping , Xu Jiaxiang
Published: January 2025

Remote calibration is an advanced methodology that leverages electricity meters, intelligent detection, and computing technologies to enhance calibration efficiency and precision significantly. However, current research predominantly focuses on isolated calibration architectures tailored to single-laboratory environments. In contrast, distributed remote calibration systems that integrate multiple nodes remain in their early developmental stages, despite their considerable potential for improving scalability and operational efficiency. The purpose of this paper is to propose a multi-point collaborative distributed remote calibration model that improves scalability and operational efficiency for remote sensing devices. It addresses the challenge of resource allocation for synchronous calibration across distributed nodes by introducing a hybrid genetic algorithm that optimises scheduling and resource management. Experimental results reveal that the proposed algorithm surpasses other comparable methods in its category, highlighting its capability to improve resource efficiency in distributed remote calibration systems. Additionally, the hybrid genetic algorithm offers profound insights and effective solutions to the intricate challenges of task scheduling in dual-container synchronisation, enhancing both scheduling performance and system dependability.
Validating Accelerated Shelf Life Testing Methodology for Predicting Shelf Life in High-Pressure-Processed Meat Products
Authors: Ntzimani Athina , Tsevdou Maria , Andrianos Evangelos , Gounaris Dimitrios , Spiliotopoulos Theodosios , Taoukis Petros , Giannakourou Maria C.
Published: January 2025

The shelf life of meat products is a critical factor in ensuring both consumer safety and product quality. Traditional methods for determining shelf life are labor-intensive and time-consuming, making it challenging for manufacturers to adapt to market demands. The accelerated shelf life testing (ASLT) methodology offers a viable solution by exposing products to controlled elevated conditions that simulate long-term storage, allowing for faster shelf life predictions. This study evaluates the ASLT methodology as a predictive tool for determining the shelf life of high-pressure (HPP)-treated meat products. The present study includes experiments to verify the shelf life of frankfurter-type sausages under accelerated conditions. By simulating long-term storage at elevated temperatures (4–18 °C), a kinetic model was developed to monitor spoilage bacteria growth, with validation under dynamic temperature conditions. The results indicate that the main spoilage population of frankfurter-type sausages was lactic acid bacteria (LAB), which was strongly correlated with the total mesophilic microflora of the products. The findings show that elevated storage temperatures (8 and 18 °C) provide accurate shelf life predictions, offering an efficient approach to ensure product quality and meet consumer demands.
A Comprehensive Analysis of Environmental Emissions from Trenchless CIPP and Excavation Technologies for Sanitary Sewers
Authors: Karkhanis Eesha , Kaushal Vinayak , Thakre Gayatri , Najafi Mohammad
Published: January 2025

The renewal of underground infrastructure is an emerging challenge for most municipalities in the United States. As compared to trenchless cured-in-place pipes (CIPPs), excavation technologies (ETs) have adverse impacts on the environment. Due to its lower ecological impact, trenchless technology is preferred in comparison to conventional pipe replacement. The selection of the most appropriate method depends on factors such as the existing sewer network, traffic disruption, soil conditions, and environmental safety. Recent concerns pertaining to environmental impact have increased the demand for reduced carbon footprints. The objectives of this paper are the following: (1) to present a comprehensive review on the achievements achieved over the years in understanding the factors influencing environmental emissions from the use of CIPP and ETs and (2) to analyze and compare the environmental emissions produced from CIPPs and ETs for 8-inch-, 10-inch-, and 12-inch-diameter pipes. Published papers from 1990 through 2024 have been included, which reported emissions from both alternatives. A comparison of total environmental emissions produced from both the processes is presented. The literature review and analysis suggest that higher emissions are a result of higher fuel consumption, material use, and input allocation. The emissions of pipeline renewal methods were evaluated using USEPA’s TRACI 2.1 methodology within SimaPro software. The analysis showed that CIPP renewal greatly reduced carbon emissions when compared with ET. CIPPs exhibited approximately 70% less ecological impact, 75% less impact on human health, and 60% less depletion of resources. CIPPs reduced carbon emissions by 78–100% in comparison to ETs. The recycling materials used in CIPPs potentially reduce the environmental impact by 10%, making them highly sustainable. The installation phase should therefore be carefully analyzed for factors like the pipe material and the pipes’ external diameter in view of achieving the greatest sustainability of these methods, as these characteristics affect emissions. It can be inferred that the comparison of the emissions of both alternatives is extremely vital for sustainable underground infrastructure development.
Predicting the Zinc Content in Rice from Farmland Using Machine Learning Models: Insights from Universal Geochemical Parameters
Authors: Geng Wenda , Li Tingting , Zhu Xin , Dou Lei , Liu Zijia , Qian Kun , Ye Guiqi , Lin Kun , Li Bo , Ma Xudong , Hou Qingye , Yu Tao , Yang Zhongfang
Published: January 2025

Zinc (Zn) is an essential nutrient for the human body and is prone to deficiency. Supplementing Zn through zinc-enriched cereals is of great significance in addressing the widespread issue of zinc deficiency. However, there is no simple linear correlation between the soil zinc content and rice grain zinc content, which poses challenges for zoning zinc-enriched rice cultivation based on the soil Zn content. Therefore, accurately predicting the zinc content in rice grains is of great importance. To verify the robustness of the prediction model and expand its applicability, this study established a prediction model using 371 sets of previously collected and tested rice grain and root zone soil samples from the Pearl River Delta and Heyuan regions in Guangdong. The model was validated using the data from 65 sets of rice and root zone soil samples collected and analyzed in Zijin and Dongyuan counties, Heyuan, in 2023. The results show that zinc absorption by rice grains is controlled by multiple factors, primarily related to the soil S, P, CaO, Mn, TFe2O3, TOC, and SiO2/Al2O3 ratio. Both the artificial neural network model and random forest model demonstrated a good predictive performance across large regions. However, in the Heyuan region, the random forest model outperformed the artificial neural network model, with an R2 of 0.79 and an RMSE of 0.05 when the predicted data were compared against the measured BAFZn of the rice. This suggests that predicting the zinc content in rice grains based on the soil macro-elements (including oxides) and TOC is feasible, and, within certain regional boundaries, the prediction model is robust and widely applicable. This study provides valuable insights into the rational development of zinc-enriched rice in the Heyuan region and offers a useful reference for establishing prediction models of the beneficial element content in rice grains in areas with limited data.
Roasting Extraction of Lithium from Fly Ash: A Study of Influential Parameters and Mechanisms
Authors: Li Fayue , Liu Jingfeng , Lv Longjiao , Mu Xiwei , Ren Yuting , Zhu Guocheng
Published: January 2025

Fly ash consists of significant amounts of lithium, which is an essential resource for developing batteries. This study proposed an efficient method for extracting lithium from fly ash. First, we explored the parameters affecting the activation effect of sodium carbonate roasting and the leaching efficiency of lithium using acid leaching. Additionally, ultrasonic pre-treatment was applied to enhance activation. A further mechanism for the roasting extraction of lithium was symmetrically analyzed. The results showed that ultrasonic treatment at 200 W for 1 h under alkaline leaching conditions (sodium hydroxide solution 4 mol/L, reaction temperature 80 °C, leaching time 2 h, solid–liquid ratio 1 g:30 mL) achieved a lithium leaching rate of 90.74%, surpassing the 84.72% with traditional roasting–alkaline leaching. Under optimal acid leaching conditions (850 °C for reaction of 2.5 h, fly ash-to-sodium carbonate ratio (Rfs) 1:2, sulfuric acid 2 mol/L, reaction temperature 80 °C, solid–liquid ratio 1 g:30 mL, and leaching time 1.5 h), the leaching rate reached 96.62%. With ultrasonic pre-treatment and acid leaching, the highest leaching rate of 98.68% achieved under optimal conditions: reaction temperature 850 °C for 2.5 h, mass Rfs at 1:1.5, sulfuric acid 2 mol/L, reaction temperature 80 °C, solid–liquid ratio 1 g:35 mL, and leaching time 120 min. The study demonstrated that ultrasonic pre-treatment outperforms the traditional method, achieving a higher leaching rate with fewer roasting additives and lower energy consumption.
Effective Mechanical Properties of a Composite Material Reinforced by Oil Shale Ash Particles
Authors: Kononova Olga , Krasnikovs Andrejs , Jafarli Ilgar , Novakova Iveta , Gulik Volodymyr , Vaišnoras Mindaugas
Published: January 2025

This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). Since 2018, OSA has no longer been classified as hazardous waste in the EU, enabling its reuse in sustainable materials. The present research examined the effect of OSA on the elastic properties of epoxy–OSA and concrete–OSA composites. The experimental results show that the elastic modulus of epoxy resin increases with an increase in the ash concentration, while it decreases in concrete with a higher OSA content. Theoretical models, including the rule of mixtures, finite element method (FEM), Mori–Tanaka method, and Halpin–Tsai method, were used to predict these properties numerically. The rule of mixtures and FEM generally overestimated the modulus for epoxy–OSA, whereas the Mori–Tanaka and Halpin–Tsai methods provided closer predictions. For concrete–OSA, the compressive strength tests followed the LVS EN 12390-3:2019 standards, with elastic modulus conversions being made via IS 456:2000 Clause 6.2.3.1, which showed a variable decrease across different strength classes. The findings highlight the potential of OSA as a reinforcing filler in construction materials, promoting environmental sustainability by repurposing industrial waste while offering mechanical benefits.
The Effect of Boron Oxide on the Structures and Thermal Properties of Phosophosilicate Bioactive Glasses for Metallic Implants’ Coatings
Authors: Oliver Joy-anne N. , Xie Wenqing , Du Jincheng , Ecker Melanie
Published: January 2025

To design bioactive glass compositions with optimal thermal, mechanical, and bioactive properties as coatings on Ti6Al4V metallic implants, we investigated phosphosilicate bioactive glasses based on the 6P55 composition. SiO2 was substituted with B2O3 to improve adhesion to the metallic implants and physical properties. This substitution significantly altered the glass structure and is hypothesized to improve adhesion. Computational and experimental methods revealed that boron substitution introduced BO3 and BO4 units, disrupted the Si-O network, and formed non-bridging oxygens (NBOs), resulting in a decrease in density and glass transition temperature (Tg). These changes were attributed to boron’s dual role as a network former and modifier, influencing coordination environments and connectivity. Thermal and structural analyses showed that optimal boron levels improved thermal expansion and network flexibility, which are critical for coating applications. By integrating molecular dynamics simulations and experimental techniques, this study provides valuable insights into tailoring glass compositions for enhanced performance on metallic substrates.
The Development and Validation of an Artificial Intelligence Model for Estimating Thumb Range of Motion Using Angle Sensors and Machine Learning: Targeting Radial Abduction, Palmar Abduction, and Pronation Angles
Authors: Ehara Yutaka , Inui Atsuyuki , Mifune Yutaka , Yamaura Kohei , Kato Tatsuo , Furukawa Takahiro , Tanaka Shuya , Kusunose Masaya , Takigami Shunsaku , Osawa Shin , Nakabayashi Daiji , Hayashi Shinya , Matsumoto Tomoyuki , Matsushita Takehiko , Kuroda Ryosuke
Published: January 2025

An accurate assessment of thumb range of motion is crucial for diagnosing musculoskeletal conditions, evaluating functional impairments, and planning effective rehabilitation strategies. In this study, we aimed to enhance the accuracy of estimating thumb range of motion using a combination of MediaPipe, which is an AI-based posture estimation library, and machine learning methods, taking the values obtained using angle sensors to be the true values. Radial abduction, palmar abduction, and pronation angles were estimated using MediaPipe based on coordinates detected from videos of 18 healthy participants (nine males and nine females with an age range of 30–49 years) selected to reflect a balanced distribution of height and other physical characteristics. A conical thumb movement model was constructed, and parameters were generated based on the coordinate data. Five machine learning models were evaluated, with LightGBM achieving the highest accuracy across all metrics. Specifically, for radial abduction, palmar abduction, and supination, the root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and correlation coefficient were 4.67°, 3.41°, 0.94, and 0.97; 4.63°, 3.41°, 0.95, and 0.98; and 5.69°, 4.17°, 0.88, and 0.94, respectively. These results demonstrate that when estimating thumb range of motion, the AI model trained using angle sensor data and LightGBM achieved accuracy that was high and comparable to that of prior methods involving the use of MediaPipe and a protractor.
Nano-Interaction Mechanism Between Crumb Rubber and Asphalt Components: A Molecular Dynamic Study
Authors: Li Jian , He Liang
Published: January 2025

Asphalt modified with treated waste tires has good environmental protection and application value. However, the nano-interaction mechanism of crumb rubber (CR) and asphalt (especially its components) is unclear. In this study, molecular models of asphalt, asphalt components, CR, and CR-modified asphalt (CRMA) were constructed by molecular dynamics (MD) simulation. The validity of the model construction and parameter setting was verified by multiple indexes. The influence mechanism of CRMA density, asphalt-CR compatibility, mechanical indexes, and binding energy under the influence of temperature, CR dosage, and other factors was systematically analyzed. Results showed that the optimum temperature for preparing and storing to prevent segregation did not coincide. The solubility parameters (SP) prediction model of the asphalt’s four components was obtained based on the multiple linear regression method. CR could enhance the mechanical properties of asphalt, but the improvement was limited to small dosages. Increasing the dosage can enhance the mechanical properties of asphalt; the mechanical properties can be significantly improved in medium- and high-temperature conditions. Bulk modulus and shear modulus were recommended for preferential analysis of the mechanical properties of CRMA. It is recommended that the optimal dosage be 20%.
Microscopic Characteristics and Formation of Various Types of Organic Matter in High-Overmature Marine Shale via SEM
Authors: Zhao Meng , Wang Hongyan , Shi Zhensheng , Zhao Qun , Zhou Tianqi , Qi Ling
Published: January 2025

Organic matter exhibits significant heterogeneity and complexity, with varying pore structures across different types influenced by multiple interacting factors. This paper introduces a “two categories, six subcategories” classification scheme based on morphological observations using a combination of argon ion polishing and scanning electron microscopy (SEM). Organic matter is classified into two main categories: depositional organic matter and migrated organic matter, based on whether migration has occurred. Depositional organic matter is further subdivided into three types based on microscopic characteristics: bioclasts, compacted kerogen, and in situ remnants from post-hydrocarbon generation. Migrated organic matter is categorized into three types: organic matter in intragranular pores, organic matter in intergranular pores, and bitumen in microfractures. Bioclasts can be further classified into alginite, zooclasts, acritarchs, and encapsulated organic matter based on maceral type. Zooclasts, acritarchs, encapsulated organic matter, and compacted kerogen—types of depositional organic matter—have few or no pores. This is primarily related to the nature of the hydrocarbon-generating precursor materials, with compacted kerogen being influenced by low thermal maturity and diagenetic compaction. In contrast, pores are more developed in alginite, in situ remnants from post-hydrocarbon generation, and all forms of migrated organic matter, largely due to the expulsion of gaseous hydrocarbons during thermal evolution. The pores in alginite reflect both the original structural properties of the hydrocarbon-generating precursor materials and the thermal evolution process. Depositional organic matter exhibits a stronger oil-generating potential and a higher gas-generating potential, while migrated organic matter primarily possesses a stronger gas-generating capability. Specifically, organic matter enriched in alginite, in situ remnants from post-hydrocarbon generation, as well as migrated organic matter in intragranular pore and intergranular pore, exhibit a higher hydrocarbon-generation potential.
Recycling Bitumen for Composite Material Production: Potential Applications in the Construction Sector
Authors: Rikmann Ergo , Mäeorg Uno , Vaino Neeme , Pallav Vello , Järvik Oliver , Liiv Jüri
Published: January 2025

During roof renovations, large quantities of waste BBRM (bitumen-based roofing materials) are generated, and the possibilities for recycling these materials have so far been very limited. In general, they can be crushed and mixed with asphalt to pave roads or can be burned for energy. While waste plastic materials are often recycled, the remelting process significantly degrades their durability and mechanical properties. Unlike conventional methods, our recycling process results in a material with properties that are in many ways superior to the original materials. It is durable, weather resistant, and has exceptionally high mechanical strength. This material can be used to produce various construction components, including replacing quickly degradable wooden parts in structures. The composite material demonstrates increased flexibility, enhanced tensile strength, and improved resistance to ultraviolet (UV) radiation and environmental degradation compared to standard bitumen. The process is simple and can be carried out directly at the renovation site using a portable device.
Proximate Analysis, Total Phenolic Content, and Antioxidant Activity of Wild Carob Pulp from Three Mediterranean Countries
Authors: El Chami Mohamad Ali , Palacios-Rodríguez Guillermo , Ordóñez-Díaz José L. , Rodríguez-Solana Raquel , Navarro-Cerrillo Rafael M. , Moreno-Rojas José M.
Published: January 2025

(1) Background: Carob tree (Ceratonia siliqua L.) pulp is of great interest nowadays due to its nutritional benefits and diverse utilization in the food process. The nutritional and antioxidant properties of carob pulp in the Mediterranean have been assessed in several studies. Still, few studies have combined, within the same work, a comprehensive analysis of the chemical composition of carob pulp from fruits of natural populations across different countries of the Mediterranean basin, while also incorporating new research areas. (2) Methods: In the present work, we evaluated the nutritional value, total phenolic compounds, and antioxidant activity of carob pulp derived from wild populations of carob trees from three Mediterranean countries: Lebanon, Spain, and Morocco; (3) Results: All assessed bromatological characteristics, with the exception of ash and fiber content, revealed significant differences in the carob pulp from the three countries under study. High variability was observed for the total polyphenols ranging between 5.05 mg/g and 12.70 mg/g. Sucrose was the predominant sugar quantified ranging between 13.70 g/100 g and 28.10 g/100 g. The lipid content was low (0.26–0.36%). The moisture content of carob pulp ranges between 4.36% and 6.40%. Carob pulp presented a rich composition in fiber, with an average of 35.87%. The ash content was between 2.52% and 3.28%. The percentage of the protein content of the carob pulp ranged between 4.40 and 5.52, with an average carbohydrate value of 74.71%; (4) Conclusions: Spanish wild carob pulp samples offered higher carbohydrates contents and values for sucrose, fructose, and glucose, polyphenol content, and antioxidant activity, whereas Moroccan samples had higher values of carbohydrates and in concrete, the monosaccharides fructose and glucose showed higher contents in proteins and lipids. In contrast, Lebanese samples exhibit a high content of the disaccharide sucrose. These findings could be exploited in breeding programs to improve varieties that balance both the agronomical quality and nutritional values of carob pulp.
Air Quality-Driven Traffic Management Using High-Resolution Urban Climate Modeling Coupled with a Large Traffic Simulation
Authors: Laudan Janek , Banzhaf Sabine , Khan Basit , Nagel Kai
Published: January 2025

This study presents a framework for integrating traffic simulation with high-resolution air pollution modeling to design adaptive traffic management policies aimed at reducing urban air pollution. Building on prior work that establishes the coupling of the MATSim traffic model with the PALM-4U urban climate model, this second part focuses on implementing a feedback loop to inform traffic management decisions based on simulated air pollution concentration levels. The research explores how traffic volumes and atmospheric conditions, such as boundary layer dynamics, influence air quality throughout the day. In an artificial case study of Berlin, a time-based toll is introduced, aimed at mitigating concentration peaks in the morning hours. The toll scheme is tested in two simulation scenarios and evaluated regarding the effectiveness of reducing air pollution levels, particularly NO2 during the morning hours. The case study results serve to illustrate the framework’s capabilities and highlight the potential of integrating traffic and environmental models for adaptive policy design. The presented approach provides a model for responsive urban traffic management, effectively aligning transportation policies with environmental goals to improve air quality in urban settings.
Pilot Data for a New Headphone-Based Assessment of Absolute Localization in the Assessment of Auditory Processing Disorder (APD)
Authors: Hargreaves Jack , Sarant Julia , Douglas Bryn , Dillon Harvey
Published: January 2025

Background/Objectives: Localization deficit is often said to be a symptom of Auditory Processing Disorder (APD). However, no clinically viable assessment of localization ability has been developed to date. The current study presents pilot data for a new assessment of absolute auditory localization using headphones. Methods: Speech phrases encoded with non-individualized head-related transfer functions (HRTF) using real-time digital processing were presented to two cohorts of participants with normal hearing. Variations in the simulated environment (anechoic and reverberant) and signal to noise ratio (SNR) were made to assess each of these factors’ influences on localization performance. Experiment 1 assessed 30 young adults aged 21–33 years old and Experiment 2 assessed 28 young adults aged 21–29 years old. All participants had hearing thresholds better than 20 dB HL. Results: Participants performed the localization task with a moderate degree of accuracy (Experiment 1: Mean RMS error = 25.9°; Experiment 2: Mean RMS error 27.2°). Front–back errors (FBEs) were evident, contributing to an average RMS error that was notably elevated when compared to similar free-field tasks. There was no statistically significant influence from the simulated environment or SNR on performance. Conclusions: An exploration of test viability in the pediatric and APD-positive populations is warranted alongside further correction for FBEs; however, the potential for future clinical implementation of this measure of absolute auditory localization is encouraging.
Ternary PEO/PVDF-HFP-Based Polymer Electrolytes for Li-Ion Batteries
Authors: Nguyen Hoang Bao Tran , Ding Ling , Pohle Björn , Schmeida Toni , Nguyen Hoang Bao An , Mikhailova Daria
Published: January 2025

The impetus to study and develop polymer electrolytes for metal-ion batteries is due to their enhanced safety compared to flammable organic liquid electrolytes, promising ionic conductivity, and broad electrochemical stability window, making them to viable candidates for battery application. In the current work, we present a simple fabrication procedure and a comprehensive physico–chemical study of various PVDF-HFP-based electrolyte formulations with a sufficient addition of PEO polymer, LiTFSI conducting salt, and EMIMTFSI ionic liquid. The ionic conductivity, activation energy for ionic movement and thickness of the resulting polymer electrolyte show a non-linear dependency on the PVDF-HFP/PEO ratio. The electrolyte composition with a 0.35PEO-0.65PVDF-HFP/1LiTFSI/1EMIMTFSI mass fraction exhibits the highest ionic conductivity among the compositions, revealing 7.7×10−5 S cm−1 at 30 °C. Electrochemical tests in half full and full Li-ion batteries with a LiFePO4 cathode and Li4Ti5O12 anode also emphasized this composition as the most promising one, providing an initial capacity in full cells of 120 mAh g−1 and a capacity retention of about 75% after 50 charge/discharge cycles at a 0.1 C current rate. In the PEO/PVDF-HFP polymer blend with EMIMTFSI as a plasticizer, the amount of crystalline parts, which are detrimental to a fast ionic diffusion, is significantly reduced.
Nickel Stabilized Si/Ni/Si/Ni Multi-Layer Thin-Film Anode for Long-Cycling-Life Lithium-Ion Battery
Authors: Tzeng Yonhua , Chiou Yu-Yang , Wilendra Aurelius Ansel
Published: January 2025

Silicon-based anodes suffer from the loss of physical integrity due to large volume changes during alloying and de-alloying processes with electrolytes. By integrating electrochemically inert, physically strong, ductile nickel layers with a multi-layered thin-film silicon anode, the long-life cycling of the Si/Ni/Si/Ni anode was demonstrated. A capacity retention of 82% after 200 cycles was measured, surpassing the performance of conventional silicon thin-film anodes. This is attributed to the effective suppression of internal local stress induced by nonuniform volume expansion by the nickel layers. These findings offer a promising pathway towards the practical implementation of high-capacity silicon-based anodes in advanced lithium-ion batteries.