237 journals awarded Impact Factor
 
 
14 pages, 612 KiB  
Article
Matrix Metalloproteinase 9 (MMP-9) and Interleukin-8 (IL-8) in Gingival Crevicular Fluid After Minimally Invasive Periodontal Surgery With or Without Er:YAG and Nd:YAG Laser Application
by Ewa Dolińska, Anna Skurska, Violetta Dymicka-Piekarska, Robert Milewski and Małgorzata Pietruska
Antibiotics 2024, 13(8), 704; https://doi.org/10.3390/antibiotics13080704 (registering DOI) - 27 Jul 2024
Abstract
Background: This study aimed to evaluate alterations in the concentrations of matrix metalloproteinase-9 (MMP-9) and interleukin-8 (IL-8) within gingival crevicular fluid (GCF) extracted from the intrabony periodontal defect site before and after minimally invasive regenerative surgery, with or without supplemental laser application. The [...] Read more.
Background: This study aimed to evaluate alterations in the concentrations of matrix metalloproteinase-9 (MMP-9) and interleukin-8 (IL-8) within gingival crevicular fluid (GCF) extracted from the intrabony periodontal defect site before and after minimally invasive regenerative surgery, with or without supplemental laser application. The surgical procedure was performed using the modified minimally invasive surgical technique (M-MIST). Methods: Thirty-eight patients, each presenting with a single vertical defect, were randomly assigned to either the test (M-MIST + Er:YAG + Nd:YAG) or the control group (M-MIST). IL-8 and MMP-9 levels (primary outcomes of the study) were assessed prior to therapy, after 2 and 4 weeks, and 6 months following the surgical procedure by means of dedicated ELISA kits. Results: Both procedures were clinically effective as evidenced by probing depth (PD) reduction and clinical attachment level (CAL) gain at the 6-month follow-up. No statistical differences were observed in the levels of MMP-9 and IL-8 between the groups at any time point assessed. The changes in the level of MMP-9 and IL-8 over time were not statistically significant in any group. IL-8 was positively correlated with MMP-9 in the control group throughout the study and in the test group 2 weeks and 6 months post-op. Conclusions: Within the limitations of this study, the additional application of Er:YAG + Nd:YAG lasers alongside the M-MIST procedure did not enhance the clinical and biochemical treatment outcomes compared to M-MIST alone. Full article
20 pages, 413 KiB  
Article
Executive Social Connection, Regional Digital Economy Development, and Enterprise Digital Transformation
by Jie Liang and Mengfan Wang
Sustainability 2024, 16(15), 6445; https://doi.org/10.3390/su16156445 (registering DOI) - 27 Jul 2024
Abstract
Aiming at the research limitation concerning the insufficient exploration of executive social connections in enterprise digital transformation, our research objective is to investigate the influence of executive social connections, namely political and business connections, on enterprise digital transformation. Furthermore, it assesses the moderating [...] Read more.
Aiming at the research limitation concerning the insufficient exploration of executive social connections in enterprise digital transformation, our research objective is to investigate the influence of executive social connections, namely political and business connections, on enterprise digital transformation. Furthermore, it assesses the moderating effects of regional digital economy development on these relationships. An empirical analysis, encompassing 5407 observations from 868 listed firms between 2012 and 2021 in China, demonstrates that executive political and business connections significantly contribute to enterprise digital transformation both individually and synergistically. Specifically, political connections are found to be more relevant to enhancing enterprise digital transformation in regions with higher levels of digital economy development, while business connections exhibit a stronger correlation in regions with lower levels of digital economy development. Additionally, it is revealed that the synergistic effect of political and business connections is more relevant to enterprise digital transformation in regions with lower levels of digital economy development. Full article
(This article belongs to the Special Issue Digital Transformation and Innovation for a Sustainable Future)
10 pages, 262 KiB  
Article
High-Intensity GPS-Derived Parameters in Semi-Professional Soccer: Home vs. Away Roles of the Team and Their Relationship with the Match’s Final Score
by Jorge Carlos-Vivas, Juan Manuel Franco-García, David Manuel Mendoza-Muñoz, Santiago Gómez-Pomares and Jorge Pérez-Gómez
Sensors 2024, 24(15), 4891; https://doi.org/10.3390/s24154891 (registering DOI) - 27 Jul 2024
Abstract
High-intensity activities are related to success in football. We looked at whether high-intensity activity differed between home and away matches and its impact on the final score. Thirty football players (20.3 ± 0.8 years) were recruited from a Spanish semi-professional team. Footballers wore [...] Read more.
High-intensity activities are related to success in football. We looked at whether high-intensity activity differed between home and away matches and its impact on the final score. Thirty football players (20.3 ± 0.8 years) were recruited from a Spanish semi-professional team. Footballers wore a GPS device to monitor high-intensity parameters from competition matches. The final score of every match was also recorded. Playing at home showed greater total distance (TD) > 24 km/h, >27 km/h, >85% Vmax, and the number of sprints > 24 km/h (all p < 0.05) than playing away. Positive correlations were also found between the match score and high-speed running (HSR) distance covered by the team per minute (r = 0.401), TD > 21 km/h (r = 0.417), TD > 24 km/h (r = 0.343), number of sprints > 24 km/h (r = 0.337), and HSR per minute (r = 0.459) (all p < 0.05). The results suggest that playing at home is associated with greater high-intensity effort than playing away. Moreover, the volume of high-intensity effort influences the final score. Full article
(This article belongs to the Special Issue Applications of Body Worn Sensors and Wearables)
23 pages, 13298 KiB  
Article
Towards Sustainable Packaging Using Microbial Cellulose and Sugarcane (Saccharum officinarum L.) Bagasse
by Cláudio José Galdino da Silva Junior, Alexandre D’Lamare Maia de Medeiros, Anantcha Karla Lafaiete de Holanda Cavalcanti, Julia Didier Pedrosa de Amorim, Italo José Batista Durval, Yasmim de Farias Cavalcanti, Attilio Converti, Andréa Fernanda de Santana Costa and Leonie Asfora Sarubbo
Materials 2024, 17(15), 3732; https://doi.org/10.3390/ma17153732 (registering DOI) - 27 Jul 2024
Abstract
The high consumption of packaging has led to a massive production of waste, especially in the form of nonbiodegradable polymers that are difficult to recycle. Microbial cellulose is considered a biodegradable, low-cost, useful, ecologically correct polymer that may be joined with other biomaterials [...] Read more.
The high consumption of packaging has led to a massive production of waste, especially in the form of nonbiodegradable polymers that are difficult to recycle. Microbial cellulose is considered a biodegradable, low-cost, useful, ecologically correct polymer that may be joined with other biomaterials to obtain novel characteristics and can, therefore, be used as a raw material to produce packaging. Bagasse, a waste rich in plant cellulose, can be reprocessed and used to produce and reinforce other materials. Based on these concepts, the aim of the current research was to design sustainable packaging material composed of bacterial cellulose (BC) and sugarcane bagasse (SCB), employing an innovative shredding and reconstitution method able to avoid biomass waste. This method enabled creating a uniform structure with a 0.10-cm constant thickness, classified as having high grammage. The developed materials, particularly the 0.7 BC/0.3 SCB [70% (w/w) BC plus 30% (w/w) SCB] composite, had considerable tensile strength (up to 46.22 MPa), which was nearly thrice that of SCB alone (17.43 MPa). Additionally, the sorption index of the 0.7 BC/0.3 SCB composite (235.85 ± 31.29 s) was approximately 300-times higher than that of SCB (0.78 ± 0.09 s). The packaging material was also submitted to other analytical tests to determine its physical and chemical characteristics, which indicated that it has excellent flexibility and can be folded 100 times without tearing. Its surface was explored via scanning electron microscopy, which revealed the presence of fibers measuring 83.18 nm in diameter (BC). Greater adherence after the reconstitution process and even a uniform distribution of SCB fibers in the BC matrix were observed, resulting in greater tear resistance than SCB in its pure form. The results demonstrated that the composite formed by BC and SCB is promising as a raw material for sustainable packaging, due to its resistance and uniformity. Full article
(This article belongs to the Special Issue Functional Cellulosic Materials)
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12 pages, 3211 KiB  
Article
A Vehicle Monocular Ranging Method Based on Camera Attitude Estimation and Distance Estimation Networks
by Jun Liu and Duo Xu
World Electr. Veh. J. 2024, 15(8), 339; https://doi.org/10.3390/wevj15080339 (registering DOI) - 27 Jul 2024
Abstract
A monocular ranging method for forward vehicles in intelligent driving is proposed. This method measures vehicle distance more accurately under the condition of a single camera and can estimate camera attitude in real-time. For the estimation of camera pitch and yaw angles, it [...] Read more.
A monocular ranging method for forward vehicles in intelligent driving is proposed. This method measures vehicle distance more accurately under the condition of a single camera and can estimate camera attitude in real-time. For the estimation of camera pitch and yaw angles, it is achieved using road vanishing points. The images collected by the camera are sequentially processed through the Roberts operator amplitude calculation, feature point extraction, feature line segment generation, road vanishing point voting, and estimation of camera attitude to obtain pitch and yaw angles. A distance estimation network was designed, which is divided into multiple levels based on image size and incorporates image feature, integrating vehicle grounding point, and vehicle width information, effectively improving ranging accuracy. Finally, validation was conducted on KITTI data, with a relative error (AbsRel) of 8.3%. Additionally, the TuSimple dataset and continuous driving scenarios were also validated, resulting in improved performance compared to previous algorithms. Full article
27 pages, 3676 KiB  
Article
A Low-Cost Redundant Attitude System for Small Satellites, Based on Strap-Down Inertial Techniques and Gyro Sensors Linear Clustering
by Mircea Ștefan Mustață and Teodor Lucian Grigorie
Appl. Sci. 2024, 14(15), 6585; https://doi.org/10.3390/app14156585 (registering DOI) - 27 Jul 2024
Abstract
The significant technological changes related to the manufacturing of the miniaturized sensors produced a higher impact at the level of the detection units equipping the strap-down inertial navigation systems (INSs). Together with miniaturization, many more advantages are brought by these technologies, related to [...] Read more.
The significant technological changes related to the manufacturing of the miniaturized sensors produced a higher impact at the level of the detection units equipping the strap-down inertial navigation systems (INSs). Together with miniaturization, many more advantages are brought by these technologies, related to low costs, low necessary energy, high robustness and high potential for adapting the design solutions. However, reducing the dimensions and weight of the sensors is reflected by a decrease in their performance in terms of sensitivity, noise and the possibility of controlling sensitive elements. On the other hand, there is a permanent increase in the need to have in-space applications of miniaturized systems with a high degree of redundancy and to equip miniaturized satellites, miniaturized space robots or space rovers. The paper proposes a new methodology to increase the quality of the signals received from the miniaturized inertial measurement units (IMUs), but also to increase the degree of redundancy, by using low-cost sensors arranged in redundant linear configurations. The presentation is focused on the development of an attitude system based on strap-down inertial techniques which uses a redundant IMU equipped with three linear clusters of miniaturized gyros. For each of the three clusters, a data fusion mechanism based on the maximal ratio combining method is applied. This fusion mechanism reduces the noise power and bias of the signal delivered to the navigation processor. Shown are the theory, software modeling and experimentation results for the attitude algorithm, for the data fusion method, and for the integrated system. Full article
18 pages, 24065 KiB  
Article
Ecological Evaluation of Land Resources in the Yangtze River Delta Region by Remote Sensing Observation
by Yanlong Guo, Peiyu He, Pengyu Chen and Linfu Zhang
Land 2024, 13(8), 1155; https://doi.org/10.3390/land13081155 (registering DOI) - 27 Jul 2024
Abstract
The evaluation of land ecological security (LES) evaluates how human activity and land use affect land ecosystems. Its ultimate objective is to provide guidance and assistance for decision making in order to preserve and restore the efficacy and health of terrestrial ecosystems. The [...] Read more.
The evaluation of land ecological security (LES) evaluates how human activity and land use affect land ecosystems. Its ultimate objective is to provide guidance and assistance for decision making in order to preserve and restore the efficacy and health of terrestrial ecosystems. The assessment model presented in this article is comprehensive and integrates the advantages of both subjective and objective weighting techniques. This study extends the “Pressure–State–Response” (PSR) model to “Driver–Pressure–State-Impact–Response” (DPSIR) and combines it with TOPSISI to determine the weights of each contributing component. Furthermore, the geographical and temporal distribution patterns of regional land ecological security levels were investigated using GIS geostatistical approaches. According to this study, (1) the Yangtze River Delta region’s LES index, with a mean value in the fairly safe range, is generally safe. The year 2019 marks an inflection point for the index, with the highest level of ecological safety on land. The primary element is the modification of environmental policies that are enacted by the government. (2) The LES status is divided into two stages during the course of this study. The Yangtze River Delta region’s LES quickly develops throughout the first stage (2012–2019), which sees a shift in the safety rating from IV to II. The second stage (2019–2023) sees a progressive improvement in the LES index and a shift in the safety category from Class II to Class I. (3) Important variables influencing the geographical distribution of LES in the Yangtze River Delta region include barrier elements, including soil and water erosion areas, flood disaster areas, grain planting areas, urban green covering areas, and effective irrigation areas of farmland. Full article
26 pages, 3584 KiB  
Article
Vehicle Turning Carbon Emissions and Highway Planar Alignment Design Indicators
by Yaping Dong, Tong Li, Jinliang Xu and Bin Wang
Sustainability 2024, 16(15), 6442; https://doi.org/10.3390/su16156442 (registering DOI) - 27 Jul 2024
Abstract
The carbon emitted by vehicles traveling on curved roads is greatly affected by the alignment of the route, yet the mechanism behind this is not yet clear, leading to current horizontal alignment designs being unable to avoid this problem. To clarify the principles [...] Read more.
The carbon emitted by vehicles traveling on curved roads is greatly affected by the alignment of the route, yet the mechanism behind this is not yet clear, leading to current horizontal alignment designs being unable to avoid this problem. To clarify the principles and indicator thresholds of low-carbon design for planar geometry, this study takes the carbon emission of traveling on curved routes as the research object, and establishes a relationship model between carbon emissions and design indicators based on the principles of vehicle dynamics and kinematics. Field tests were conducted to validate the quantitative relationship model. The model shows that both radius and superelevation are negatively correlated with carbon emissions, while the lateral force coefficient is positively correlated with carbon emissions. The contribution of radius to carbon emissions is greater than that of superelevation. This study clarifies the recommended values of low-carbon design indicators by assessing carbon emissions according to the current route design specification, outlines the principles of superelevation settings, and proposes a methodology to deal with the relationship between superelevation and the lateral friction coefficient. The research findings promote the quantification and standardization of low-carbon highway design, contributing to the early mitigation of high-carbon emissions from curved traffic during the design phase. Full article
(This article belongs to the Special Issue Sustainability in Innovation and Supply Chain Development)
13 pages, 3603 KiB  
Article
A Super-Resolution and 3D Reconstruction Method Based on OmDF Endoscopic Images
by Fujia Sun and Wenxuan Song
Sensors 2024, 24(15), 4890; https://doi.org/10.3390/s24154890 (registering DOI) - 27 Jul 2024
Abstract
In the field of endoscopic imaging, challenges such as low resolution, complex textures, and blurred edges often degrade the quality of 3D reconstructed models. To address these issues, this study introduces an innovative endoscopic image super-resolution and 3D reconstruction technique named Omni-Directional Focus [...] Read more.
In the field of endoscopic imaging, challenges such as low resolution, complex textures, and blurred edges often degrade the quality of 3D reconstructed models. To address these issues, this study introduces an innovative endoscopic image super-resolution and 3D reconstruction technique named Omni-Directional Focus and Scale Resolution (OmDF-SR). This method integrates an Omnidirectional Self-Attention (OSA) mechanism, an Omnidirectional Scale Aggregation Group (OSAG), a Dual-stream Adaptive Focus Mechanism (DAFM), and a Dynamic Edge Adjustment Framework (DEAF) to enhance the accuracy and efficiency of super-resolution processing. Additionally, it employs Structure from Motion (SfM) and Multi-View Stereo (MVS) technologies to achieve high-precision medical 3D models. Experimental results indicate significant improvements in image processing with a PSNR of 38.2902 dB and an SSIM of 0.9746 at a magnification factor of ×2, and a PSNR of 32.1723 dB and an SSIM of 0.9489 at ×4. Furthermore, the method excels in reconstructing detailed 3D models, enhancing point cloud density, mesh quality, and texture mapping richness, thus providing substantial support for clinical diagnosis and surgical planning. Full article
(This article belongs to the Section Sensing and Imaging)
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19 pages, 661 KiB  
Systematic Review
Estrogen Hormones’ Implications on the Physiopathology of Temporomandibular Dysfunction
by Daniel-Corneliu Leucuța, Damaris Anton and Oana Almășan
J. Clin. Med. 2024, 13(15), 4406; https://doi.org/10.3390/jcm13154406 (registering DOI) - 27 Jul 2024
Abstract
Background/Objectives: Temporomandibular dysfunction syndrome consists of several disorders of the masticatory system, namely those of the muscles, the joint itself, as well as the dental and periodontal system. This syndrome is often characterized by pain and an inability to perform functions within the [...] Read more.
Background/Objectives: Temporomandibular dysfunction syndrome consists of several disorders of the masticatory system, namely those of the muscles, the joint itself, as well as the dental and periodontal system. This syndrome is often characterized by pain and an inability to perform functions within the dental–maxillary apparatus, which creates a certain degree of disability in patients. Women are more susceptible to this syndrome than men and hormonal factors, particularly estrogen, are central to its etiology and physiopathology. Methods: A comprehensive literature search was conducted using PubMed/MEDLINE, Scopus, Embase, and Web of Science databases regarding articles published from January 2008 to December 2023. Two authors conducted searches in the mentioned databases based on a pre-established search strategy using agreed-upon keywords. Additionally, each review author performed the selection process of eligible studies based on established inclusion criteria. The Newcastle–Ottawa scale and Risk of Bias tool 2 were used to assess each article for its methodological quality. Results: Of the 1030 records found in the four bibliographic databases, 22 studies were included in this review. Polymorphism in the alpha estrogen receptor appears to be significantly more prevalent in women with temporomandibular dysfunction, suggesting a genetic predisposition. There is a significant role of estrogen in the physiopathology of TMD-related pain. Women with polycystic ovary syndrome (PCOS) have a significantly higher incidence of TMD, accompanied by elevated inflammatory factors and decreased progesterone levels. In premenopausal women, there is scientific relevance to the association between beta-estradiol levels and TMD development and progression. The effects of estrogen hormones on temporomandibular dysfunction remain highly debated and challenging. Conclusions: These findings emphasize the importance of considering hormonal factors, genetic predisposition, and reproductive life stages in understanding and managing temporomandibular dysfunction. Further research is needed to elucidate the specific mechanisms underlying these associations. Full article
15 pages, 720 KiB  
Article
High Neural Efficiency in Unconscious Perceptual Processing Among Table Tennis Athletes: An Event-Related Potential Study
by Jilong Shi, Haojie Huang, Fatima A. Nasrallah and Anmin Li
Brain Sci. 2024, 14(8), 756; https://doi.org/10.3390/brainsci14080756 (registering DOI) - 27 Jul 2024
Abstract
Background: Neural efficiency refers to the brain’s ability to function with reduced resource expenditure while maintaining high performance levels. Previous research has demonstrated that table tennis athletes have greater neural efficiency at the conscious level. However, it is unknown whether they exhibit greater [...] Read more.
Background: Neural efficiency refers to the brain’s ability to function with reduced resource expenditure while maintaining high performance levels. Previous research has demonstrated that table tennis athletes have greater neural efficiency at the conscious level. However, it is unknown whether they exhibit greater neural efficiency at the unconscious level. Therefore, this study aims to investigate unconscious perceptual processing and neural efficiency in elite table tennis athletes through tasks involving the judgment of spin serves. Methods: Fifty healthy, right-handed individuals participated in this study, including 25 elite table tennis athletes and 25 control participants without professional training experience. To evaluate the unconscious perceptual characteristics of both groups, we used a combination of masked priming paradigm and event-related potential techniques. Results: The behavioral results reveal that, compared to the control group, the table tennis athletes displayed reduced reaction times (p < 0.001) and increased priming effects (p < 0.001) under unconscious conditions. The electrophysiological findings indicated that both groups elicited N1, N2, and P2 components. Notably, compared to the control group, the table tennis athletes exhibited significantly lower amplitude responses at the occipital lobe electrodes PO3, POz, PO4, O1, Oz, and O2 (p < 0.001). Conclusion: These results further support the neural efficiency hypothesis, indicating that prolonged professional training enhances athletes’ capacities for specialized unconscious cognitive processing. Full article
(This article belongs to the Special Issue Advances in Assessment and Training of Perceptual-Motor Performance)
16 pages, 375 KiB  
Article
Future of Undergraduate Education for Sustainable Development Goals: Impact of Perceived Flexibility and Attitudes on Self-Regulated Online Learning
by Kadir Demir
Sustainability 2024, 16(15), 6444; https://doi.org/10.3390/su16156444 (registering DOI) - 27 Jul 2024
Abstract
The COVID-19 pandemic accelerated the adoption of online learning, particularly in higher education institutions. This shift underscores the importance of sustainable education practices aligned with the United Nations’ Sustainable Development Goals (SDGs). SDG 4 emphasizes inclusive and equitable quality education, highlighting how online [...] Read more.
The COVID-19 pandemic accelerated the adoption of online learning, particularly in higher education institutions. This shift underscores the importance of sustainable education practices aligned with the United Nations’ Sustainable Development Goals (SDGs). SDG 4 emphasizes inclusive and equitable quality education, highlighting how online learning environments can enhance accessibility and flexibility for students worldwide. SDG 9 underscores the role of technological advancements in education. SDG 10 focuses on reducing inequality within and among countries, and online education can bridge educational disparities by offering flexible learning options to diverse socioeconomic backgrounds. SDG 17 emphasizes the importance of partnerships, which have been crucial in developing effective online learning solutions. This study investigates the relationship between undergraduate students’ self-regulated online learning, perceived flexibility, and attitudes towards the use of distance learning environments at a state university in İzmir, Türkiye. Utilizing a survey-type correlational research model, data were collected from 300 undergraduate students. The results indicate that undergraduate students exhibit high-level self-regulation, perceive moderate flexibility, and hold positive attitudes towards the use of distance learning environments. The analysis showed that self-regulated online learning is moderately correlated with perceived flexibility and strongly correlated with attitudes towards the use of distance learning environments. These findings suggest that both perceived flexibility and positive attitudes towards the use of distance learning environments play important roles in predicting self-regulated online learning. This research provides valuable insights for educators and institutions aiming to enhance the online learning experience by promoting self-regulated learning behaviors and flexible learning environments. Full article
18 pages, 14309 KiB  
Article
An OVR-FWP-RF Machine Learning Algorithm for Identification of Abandoned Farmland in Hilly Areas Using Multispectral Remote Sensing Data
by Liangsong Wang, Qian Li, Youhan Wang, Kun Zeng and Haiying Wang
Sustainability 2024, 16(15), 6443; https://doi.org/10.3390/su16156443 (registering DOI) - 27 Jul 2024
Abstract
Serious farmland abandonment in hilly areas, and the resolution of commonly used satellite-borne remote sensing images are insufficient to meet the needs of identifying abandoned farmland in such regions. Furthermore, addressing the problem of identifying abandoned farmland in hilly areas with a certain [...] Read more.
Serious farmland abandonment in hilly areas, and the resolution of commonly used satellite-borne remote sensing images are insufficient to meet the needs of identifying abandoned farmland in such regions. Furthermore, addressing the problem of identifying abandoned farmland in hilly areas with a certain level of accuracy is a crucial issue in the research of extracting information on abandoned farmland patches from remote sensing images. Taking a typical hilly village as an example, this study utilizes airborne multispectral remote sensing images, incorporating various feature factors such as spectral characteristics and texture features. Aiming at the issue of identifying abandoned farmland in hilly areas, a method for extracting abandoned farmland based on the OVR-FWP-RF algorithm is proposed. Furthermore, two machine learning algorithms, Random Forest (RF) and XGBoost, are also utilized for comparison. The results indicate that the overall accuracy (OA) of the OVR-FWP-RF, Random Forest, and XGboost classification algorithms have reached 92.66%, 90.55%, and 90.75%, respectively, with corresponding Kappa coefficients of 0.9064, 0.8796, and 0.8824. Therefore, by combining spectral features, texture features, and vegetation factors, the use of machine learning methods can improve the accuracy of identifying ground objects. Moreover, the OVR-FWP-RF algorithm outperforms the Random Forest and XGboost. Specifically, when using the OVR-FWP-RF algorithm to identify abandoned farmland, its producer accuracy (PA) is 3.22% and 0.71% higher than Random Forest and XGboost, respectively, while the user accuracy (UA) is also 5.27% and 6.68% higher, respectively. Therefore, OVR-FWP-RF can significantly improve the accuracy of abandoned farmland identification and other land use type recognition in hilly areas, providing a new method for abandoned farmland identification and other land type classification in hilly areas, as well as a useful reference for abandoned farmland identification research in other similar areas. Full article
19 pages, 3515 KiB  
Article
Influence of Carbonated Pyrolysis Oil Recycled from Scrap Tires on Metallurgical Efficiency of Coal Flotation
by Iman Hasanizadeh, Hamid Khoshdast, Mehdi Safari, Kaveh Asgari and Ahmad Rahmanian
Minerals 2024, 14(8), 765; https://doi.org/10.3390/min14080765 (registering DOI) - 27 Jul 2024
Abstract
This research assesses the effect of carbonated pyrolysis oil (CPO) derived from scrap car tires on the metallurgical efficiency of coal flotation as a flotation additive. Using a statistical experimental design, the influence of various operational variables, including solid percent of feed pulp [...] Read more.
This research assesses the effect of carbonated pyrolysis oil (CPO) derived from scrap car tires on the metallurgical efficiency of coal flotation as a flotation additive. Using a statistical experimental design, the influence of various operational variables, including solid percent of feed pulp and dosages of reagents, i.e., CPO as an additive, diesel oil as a collector, and pine oil as a frother, on the ash content and yield of the final concentrate were investigated. Experimental data vary significantly based on operational conditions, ranging from 6.6% ash content with a 15% yield to 19.1% ash content with a 76.8% yield. The composition of the pyrolysis oil was identified by using Fourier transform infrared spectroscopy (FTIR). The analysis of variance (ANOVA) of experimental results demonstrated that almost all variables had a substantial effect on the flotation responses, positive or negative, depending on the variable or variable interaction. It was discovered that the usage of CPO intensified the total yield and ash content of concentrate in a nonlinear fashion in a range of 15% and 4%, respectively. The results revealed a non-selective interaction effect between CPO and pine oil, as well as competitive adsorption between diesel oil and CPO, which contributed to the curved behavior of flotation measurements. The detrimental effect of CPO on the flotation response of the studied coal sample was also related to the interaction of the hydrophilic groups in the CPO structure and the oxide groups of ash material in coal particles. This work shows the potential of carbonated pyrolysis oil to enhance coal flotation performance and sheds light on the underlying mechanisms. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
19 pages, 5426 KiB  
Article
Optimizing HMI for Intelligent Electric Vehicles Using BCI and Deep Neural Networks with Genetic Algorithms
by Xinmin Jin, Jian Teng and Shaw-mung Lee
World Electr. Veh. J. 2024, 15(8), 338; https://doi.org/10.3390/wevj15080338 (registering DOI) - 27 Jul 2024
Abstract
This study utilizes a brain—computer interface (BCI)—based deep neural network (DNN) and genetic algorithm (GA) method. This research explores the interaction design of the main control human-machine interaction interfaces (HMIs) for intelligent electric vehicles (EVs) by integrating neural network predictions with genetic algorithm [...] Read more.
This study utilizes a brain—computer interface (BCI)—based deep neural network (DNN) and genetic algorithm (GA) method. This research explores the interaction design of the main control human-machine interaction interfaces (HMIs) for intelligent electric vehicles (EVs) by integrating neural network predictions with genetic algorithm optimizations. Augmented reality (AR) was incorporated into the experimental setup to simulate real driving conditions, providing participants with an immersive and realistic experience. A comparative analysis of several models including the support vector machines-genetic algorithm (SVMs-GA), decision trees-genetic algorithm (DT-GA), particle swarm optimization-genetic algorithm (PSO-GA), and deep neural network-genetic algorithm (DNN-GA) was conducted. The results indicate that the DNN-GA model exhibited superior prediction accuracy with the lowest mean squared error (MSE) of 0.22 and mean absolute error (MAE) of 0.31. Additionally, the DNN-GA model demonstrated the shortest training time of 69.93 s, making it 4.5% more efficient than the PSO-GA model and 51.8% more efficient compared to the SVMs-GA model. This research focuses on promoting an innovative and efficient machine learning hybrid model with the goal of improving the efficiency of the human-machine interaction interfaces (HMIs) interface of intelligent electric vehicles. By optimizing the accuracy and response speed, the aim is to enhance the control interface and significantly improve user experience and usability. Full article
10 pages, 446 KiB  
Article
Aloe vera Cuticle: A Promising Organic Water-Retaining Agent for Agricultural Use
by Wilmer E. Luligo-Montealegre, Santiago Prado-Alzate, Alfredo Ayala-Aponte, Diego F. Tirado and Liliana Serna-Cock
Horticulturae 2024, 10(8), 797; https://doi.org/10.3390/horticulturae10080797 (registering DOI) - 27 Jul 2024
Abstract
Water is an important resource for both human and environmental survival. However, due to current human practices, we are facing a serious crisis in accessing water. Thus, solutions must be explored to optimize the use of this resource. In the search for an [...] Read more.
Water is an important resource for both human and environmental survival. However, due to current human practices, we are facing a serious crisis in accessing water. Thus, solutions must be explored to optimize the use of this resource. In the search for an organic water-retaining agent for agricultural use, the techno-functional properties of Aloe vera (Aloe barbadensis Miller) cuticle, an agro-industrial residue generated after gel extraction, were evaluated. The residue was dried and ground. The effects of particle size (180 µm and 250 µm), temperature (10 °C, 20 °C, 30 °C, and 40 °C), and pH (4.5, 6.0, and 7.0) on the solubility and water-holding capacity (WHC) of the obtained product (i.e., hydrogel) were then evaluated. The treatment with the highest WHC was selected and compared with the WHC of a commercial synthetic polyacrylamide gel widely used in agriculture. The effects of KNO3 and Ca(NO3)2 at different concentrations (10 g L−1, 20 g L−1, 30 g L−1, and 40 g L−1) on the WHC of the gels were assessed. Particle size, temperature, and pH interactions had statistically significant effects on solubility, while the WHC was affected by particle size × temperature and pH × temperature interactions. The highest product solubility (75%) was obtained at the smallest particle size (i.e., 180 µm), pH 4.5, and 20 °C. Meanwhile, the highest WHC (18 g g−1) was obtained at the largest particle size (i.e., 250 µm), pH 6.0, and 20 °C. This optimized gel kept its WHC across both salts and their concentrations. In contrast, the commercial gel significantly decreased its WHC with salt concentration. The product elaborated with A. vera cuticle could have bioeconomic potential as a water-retention agent for agricultural use, with the advantage that it is not affected by the addition of salts used for plant fertilization. Full article
25 pages, 5779 KiB  
Article
Collembola Diversity across Vegetation Types of a Neotropical Island in a River Delta
by Maria Geovana de Mesquita Lima, Bruna Maria da Silva, Rudy Camilo Nunes, Alexandre de Oliveira Marques, Gleyce da Silva Medeiros, Fúlvio Aurélio de Morais Freire, Clécio Danilo Dias da Silva, Bruna Winck and Bruno Cavalcante Bellini
Diversity 2024, 16(8), 445; https://doi.org/10.3390/d16080445 (registering DOI) - 27 Jul 2024
Abstract
Springtails, vital for ecosystem assessment, are often overshadowed by taxonomy-focused research, which mostly neglects their ecology and distribution, particularly in the Neotropical Region. The objective of this study was to identify how environmental factors, especially vegetation types, affect the availability of food resources [...] Read more.
Springtails, vital for ecosystem assessment, are often overshadowed by taxonomy-focused research, which mostly neglects their ecology and distribution, particularly in the Neotropical Region. The objective of this study was to identify how environmental factors, especially vegetation types, affect the availability of food resources for epiedaphic Collembola and influence their diversity patterns in three vegetation types (riparian forest, mangrove, and restinga) in the Canárias Island, in Delta do Parnaíba Environmental Protection Area, Brazil (APADP). We collected samples along 200 m transects in each vegetation type during the dry and rainy seasons. After, specimens were sorted, counted and identified. Alpha (species richness, Shannon, Simpson, and Pielou indices) and beta diversity (Whittaker index) were analyzed, along with environmental factors’ influence through Redundancy Analysis (RDA). We sampled a total of 5346 specimens, belonging to three orders, eight families, 23 genera, 31 morphospecies, and one nominal species. Species abundance was positively influenced by soil moisture, plant richness, and leaf litter. The riparian forest sheltered a higher species richness and diversity, and its biotic and abiotic factors likely enhanced the food resource availability, including vegetal organic matter, fungi, and bacteria. These results provide the first taxonomic and ecological data on the Collembola fauna in the APADP. Full article
(This article belongs to the Section Animal Diversity)
16 pages, 786 KiB  
Article
The Assessment of Green Poverty Reduction Strategies in Ecologically Fragile Areas: A Case Study of Southern Xinjiang in China
by Hongmei Chen, Weipeng Chao, Zhen Xue, Hanlin Wei and Qing Li
Sustainability 2024, 16(15), 6441; https://doi.org/10.3390/su16156441 (registering DOI) - 27 Jul 2024
Abstract
Green poverty reduction is a strategic choice for China to bring ecological benefits as well as economic and social benefits. This study examines three typical models of green poverty reduction strategies in Southern Xinjiang, which is an ecologically fragile region. The data for [...] Read more.
Green poverty reduction is a strategic choice for China to bring ecological benefits as well as economic and social benefits. This study examines three typical models of green poverty reduction strategies in Southern Xinjiang, which is an ecologically fragile region. The data for calculating the comprehensive benefits of the three models were derived from satellite remote sensing data, regional forestry bureau statistics, and survey data from 2021. The economic benefits are calculated to measure the net profit of a certain type of cover such as the supply of timber, forest products, and crops. The ecological benefits are calculated to measure the improvement in water resource regulation, soil conservation, carbon sequestration, windbreak and sand fixation, biodiversity conservation, and landscape recreation. The social benefits include providing employment opportunities and government subsidy. The comprehensive benefits are a weighted average over individual benefit categories. We found that the comprehensive benefits of the composite forest model, the drought-resistant crop model, and the industrial transformation model are CNY 288 million, CNY 50 million, and CNY 545 million, respectively. The composite forest model and the industrial transformation model have greater ecological benefits, while the drought-resistant crop model has greater economic benefits. Full article
(This article belongs to the Special Issue Sustainable and Green Economy Transformation)
27 pages, 2611 KiB  
Article
A Novel Battery to Assess “Cool” and “Hot” Executive Functions: Sensitivity to Age Differences in Middle Childhood
by Laura Fernández-García, Jessica Phillips-Silver and María Teresa Daza González
Brain Sci. 2024, 14(8), 755; https://doi.org/10.3390/brainsci14080755 (registering DOI) - 27 Jul 2024
Abstract
The main goal of the current work was to assess the age sensitivity of a novel battery of cool and hot Executive Function (EF) tasks developed for the middle childhood period: the Executive Brain Battery (EBB). To this end, we carried out a [...] Read more.
The main goal of the current work was to assess the age sensitivity of a novel battery of cool and hot Executive Function (EF) tasks developed for the middle childhood period: the Executive Brain Battery (EBB). To this end, we carried out a first study in which the EBB was administered to six age groups ranging from 6 to 11. Additionally, in a second study, we compared children at the end of middle childhood (age 11 years) and adult performance in the EBB. Results showed that tasks included in the EBB were suitable for all age groups, with more age-related changes being found in cool than hot EF tasks. Moreover, at the end of middle childhood, children reach an adult-like performance in most of these cool and hot tasks. The present findings extend previous research suggesting that cool and hot EFs exhibit different patterns of age-related growth in middle childhood. Additionally, the EEB could become a useful tool for research on EFs during middle childhood that could be adapted for a wide range of populations. Full article
(This article belongs to the Section Developmental Neuroscience)
17 pages, 1697 KiB  
Article
Defying Gravity to Enhance Power Output and Conversion Efficiency in a Vertically Oriented Four-Electrode Microfluidic Microbial Fuel Cell
by Linlin Liu, Haleh Baghernavehsi and Jesse Greener
Micromachines 2024, 15(8), 961; https://doi.org/10.3390/mi15080961 (registering DOI) - 27 Jul 2024
Abstract
High power output and high conversion efficiency are crucial parameters for microbial fuel cells (MFCs). In our previous work, we worked with microfluidic MFCs to study fundamentals related to the power density of the MFCs, but nutrient consumption was limited to one side [...] Read more.
High power output and high conversion efficiency are crucial parameters for microbial fuel cells (MFCs). In our previous work, we worked with microfluidic MFCs to study fundamentals related to the power density of the MFCs, but nutrient consumption was limited to one side of the microchannel (the electrode layer) due to diffusion limitations. In this work, long-term experiments were conducted on a new four-electrode microfluidic MFC design, which grew Geobacter sulfurreducens biofilms on upward- and downward-facing electrodes in the microchannel. To our knowledge, this is the first study comparing electroactive biofilm (EAB) growth experiencing the influence of opposing gravitational fields. It was discovered that inoculation and growth of the EAB did not proceed as fast at the downward-facing anode, which we hypothesize to be due to gravity effects that negatively impacted bacterial settling on that surface. Rotating the device during the growth phase resulted in uniform and strong outputs from both sides, yielding individual power densities of 4.03 and 4.13 W m−2, which increased to nearly double when the top- and bottom-side electrodes were operated in parallel as a single four-electrode MFC. Similarly, acetate consumption could be doubled with the four electrodes operated in parallel. Full article
(This article belongs to the Section E:Engineering and Technology)
38 pages, 2117 KiB  
Systematic Review
Effect of Prophylactic Tropisetron on Post-Operative Nausea and Vomiting in Patients Undergoing General Anesthesia: Systematic Review and Meta-Analysis with Trial Sequential Analysis
by In Jung Kim, Geun Joo Choi, Hyeon Joung Hwang and Hyun Kang
J. Pers. Med. 2024, 14(8), 797; https://doi.org/10.3390/jpm14080797 (registering DOI) - 27 Jul 2024
Abstract
This systematic review and meta-analysis of randomized controlled trials (RCTs) with trial sequential analysis (TSA) aimed to comprehensively evaluate and compare the efficacy of the prophylactic administration of tropisetron in the prevention of the incidence of post-operative nausea and vomiting (PONV) in patients [...] Read more.
This systematic review and meta-analysis of randomized controlled trials (RCTs) with trial sequential analysis (TSA) aimed to comprehensively evaluate and compare the efficacy of the prophylactic administration of tropisetron in the prevention of the incidence of post-operative nausea and vomiting (PONV) in patients undergoing surgery under general anesthesia. This study was registered with PROSPERO (CRD42024372692). RCTs comparing the efficacy of the perioperative administration of tropisetron with that of a placebo, other anti-emetic agents, or a combination of anti-emetic injections were retrieved from the databases of Ovid-MEDLINE, Ovid-EMBASE, the Cochrane Central Register of Controlled Trials, and Google Scholar. The frequency of rescue anti-emetic use (RA) and the incidence of PON, POV, and PONV (relative risk [RR]: 0.718; 95% confidence interval [CI] 0.652–0.790; I2 = 0.0, RR: 0.587; 95% CI 0.455–0.757; I2 = 63.32, RR: 0.655; 95% CI 0.532–0.806; I2 = 49.09, and RR: 0.622; 95% CI 0.552–0.700; I2 = 0.00, respectively) in the tropisetron group were lower than those in the control group; however, the incidence of complete response (CR) was higher in the tropisetron group (RR: 1.517;95% CI 1.222–1.885; I2 = 44.14). TSA showed the cumulative Z-curve exceeded both the conventional test and trial sequential monitoring boundaries for RA, PON, POV, and PONV between the tropisetron group and the control group. Thus, the prophylactic administration of tropisetron exhibited superior efficacy in the prevention of PON, POV, and PONV. Furthermore, a lower incidence of RA and a higher incidence of CR were observed with its use. Full article
(This article belongs to the Special Issue New Insights into Personalized Medicine for Anesthesia and Pain)
17 pages, 3730 KiB  
Article
Biodegradation of Crude Oil by Nitrate-Reducing, Sulfate-Reducing, and Methanogenic Microbial Communities under High-Pressure Conditions
by Lu Wang, Yong Nie, Xinglong Chen, Jinbo Xu, Zemin Ji, Wenfeng Song, Xiaofang Wei, Xinmin Song and Xiao-Lei Wu
Microorganisms 2024, 12(8), 1543; https://doi.org/10.3390/microorganisms12081543 (registering DOI) - 27 Jul 2024
Abstract
Carbon capture, utilization, and storage (CCUS) is an important component in many national net-zero strategies, and ensuring that CO2 can be safely and economically stored in geological systems is critical. Recent discoveries have shown that microbial processes (e.g., methanogenesis) can modify fluid [...] Read more.
Carbon capture, utilization, and storage (CCUS) is an important component in many national net-zero strategies, and ensuring that CO2 can be safely and economically stored in geological systems is critical. Recent discoveries have shown that microbial processes (e.g., methanogenesis) can modify fluid composition and fluid dynamics within the storage reservoir. Oil reservoirs are under high pressure, but the influence of pressure on the petroleum microbial community has been previously overlooked. To better understand microbial community dynamics in deep oil reservoirs, we designed an experiment to examine the effect of high pressure (12 megapascals [MPa], 60 °C) on nitrate-reducing, sulfate-reducing, and methanogenic enrichment cultures. Cultures were exposed to these conditions for 90 d and compared with a control exposed to atmospheric pressure (0.1 MPa, 60 °C). The degradation characteristic oil compounds were confirmed by thin-layer analysis of oil SARA (saturates, aromatics, resins, and asphaltenes) family component rods. We found that the asphaltene component in crude oil was biodegraded under high pressure, but the concentration of asphaltenes increased under atmospheric pressure. Gas chromatography analyses of saturates showed that short-chain saturates (C8–C12) were biodegraded under high and atmospheric pressure, especially in the methanogenic enrichment culture under high pressure (the ratio of change was −81%), resulting in an increased relative abundance of medium- and long-chain saturates. In the nitrate-reducing and sulfate-reducing enrichment cultures, long-chain saturates (C22–C32) were biodegraded in cultures exposed to high-pressure and anaerobic conditions, with a ratio of change of −8.0% and −2.3%, respectively. However, the relative proportion of long-chain saturates (C22–C32) increased under atmospheric pressure. Gas Chromatography Mass Spectrometry analyses of aromatics showed that several naphthalene series compounds (naphthalene, C1-naphthalene, and C2-naphthalene) were biodegraded in the sulfate-reducing enrichment under both atmospheric pressure and high pressure. Our study has discerned the linkages between the biodegradation characteristics of crude oil and pressures, which is important for the future application of bioenergy with CCUS (bio-CCUS). Full article
(This article belongs to the Special Issue State-of-the-Art Environmental Microbiology in China (2023–2024))
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22 pages, 3662 KiB  
Article
Basalt Fibers versus Plant Fibers: The Effect of Fiber-Reinforced Red Clay on Shear Strength and Thermophysical Properties under Freeze–Thaw Conditions
by Tunasheng Wu, Junhong Yuan, Feng Wang, Qiansheng He, Baoyu Huang, Linghong Kong and Zhan Huang
Sustainability 2024, 16(15), 6440; https://doi.org/10.3390/su16156440 (registering DOI) - 27 Jul 2024
Abstract
Freeze–thaw cycling has a significant impact on the energy utilization and stability of roadbed fill. Given the good performance of basalt fiber (BF) and plant fiber (PF), a series of indoor tests are conducted on fiber-reinforced red clay (RC) specimens to analyze the [...] Read more.
Freeze–thaw cycling has a significant impact on the energy utilization and stability of roadbed fill. Given the good performance of basalt fiber (BF) and plant fiber (PF), a series of indoor tests are conducted on fiber-reinforced red clay (RC) specimens to analyze the shear strength, thermophysical, and microstructural changes and damage mechanisms of the RC under the freeze–thaw cycle–BF coupling, meanwhile, comparing the improvement effect of PF. The results indicate that the RC cohesion (c) first increases and then decreases with the increasing fiber content under BF improvement, reaching the maximum value at the content of 2%, and the change in the internal friction angle (φ) is relatively small. As the number of freeze–thaw cycles increases, cohesion (c) first decreases and then gradually stabilizes. The thermal conductivity increases with increasing moisture content, and the thermal effusivity increases and then decreases with increasing moisture content and fiber content. The heat storage capacity reaches the optimum level at a moisture content of 22.5% and a fiber content of 1%. Microanalysis reveals that at 2% fiber content, a fiber network structure is initially formed, and the gripping effect is optimal. The shear strength of PF-improved soil is higher than that of BF at a fiber content of 4–6%, and the thermal conductivity is better than that of BF. At the same fiber content, the heat storage and insulation capacity of BF-improved soil is significantly higher than that of PF. Full article
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