The 2023 MDPI Annual Report has
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13 pages, 667 KiB  
Article
Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles
by Khaldaa Alawaji, Ramdane Hedjar and Mansour Zuair
Sensors 2024, 24(11), 3282; https://doi.org/10.3390/s24113282 (registering DOI) - 21 May 2024
Abstract
Over the coming years, the advancement of driverless transport systems for people and goods that are designed to be used on fixed routes will revolutionize the transportation system. Therefore, for a safe transportation system, detecting and recognizing traffic signals based on computer [...] Read more.
Over the coming years, the advancement of driverless transport systems for people and goods that are designed to be used on fixed routes will revolutionize the transportation system. Therefore, for a safe transportation system, detecting and recognizing traffic signals based on computer vision has become increasingly important. Deep learning approaches, particularly convolutional neural networks, have shown exceptional performance in various computer vision applications. The goal of this research is to precisely detect and recognize traffic signs that are present on the streets using computer vision and deep learning techniques. Previous work has focused on symbol-based traffic signals, where popular single-task learning models have been trained and tested. Therefore, several comparisons have been conducted to select accurate single-task learning models. For further improvement, these models are employed in a multi-task learning approach. Indeed, multi-task learning algorithms are built by sharing the convolutional layer parameters between the different tasks. Hence, for the multi-task learning approach, different experiments have been carried out using pre-trained architectures like, for instance, InceptionResNetV2 and DenseNet201. A range of traffic signs and traffic lights are employed to validate the designed model. An accuracy of 99.07% is achieved when the entire network has been trained. To further enhance the accuracy of the model for traffic signs obtained from the street, a region of interest module is added to the multi-task learning module to accurately extract the traffic signs available in the image. To check the effectiveness of the adopted methodology, the designed model has been successfully tested in real-time on a few Riyadh highways. Full article
(This article belongs to the Special Issue Advances in Intelligent Transportation Systems Based on Sensor Fusion)
19 pages, 1323 KiB  
Article
Recovery of Ellagic Acid from Pomegranate Peels with the Aid of Ultrasound-Assisted Alkaline Hydrolysis
by Anastasia Kyriakoudi, Evmorfia Kalfa, Eleni Zymvrakaki, Natasa Kalogiouri and Ioannis Mourtzinos
Molecules 2024, 29(11), 2424; https://doi.org/10.3390/molecules29112424 (registering DOI) - 21 May 2024
Abstract
The pomegranate processing industry generates worldwide enormous amounts of by-products, such as pomegranate peels (PPs), which constitute a rich source of phenolic compounds. In this view, PPs could be exploited as a sustainable source of ellagic acid, which is a compound that possesses [...] Read more.
The pomegranate processing industry generates worldwide enormous amounts of by-products, such as pomegranate peels (PPs), which constitute a rich source of phenolic compounds. In this view, PPs could be exploited as a sustainable source of ellagic acid, which is a compound that possesses various biological actions. The present study aimed at the liberation of ellagic acid from its bound forms via ultrasound-assisted alkaline hydrolysis, which was optimized using response surface methodology. The effects of duration of sonication, solvent:solid ratio, and NaOH concentration on total phenol content (TPC), antioxidant activity, and punicalagin and ellagic acid content were investigated. Using the optimum hydrolysis conditions (i.e., 32 min, 1:48 v/w, 1.5 mol/L NaOH), the experimental responses were found to be TCP: 4230 ± 190 mg GAE/100 g dry PPs; AABTS: 32,398 ± 1817 µmol Trolox/100 g dry PPs; ACUPRAC: 29,816 ± 1955 µmol Trolox/100 g dry PPs; 59 ± 3 mg punicalagin/100 g dry PPs; and 1457 ± 71 mg ellagic acid/100 g dry PPs. LC-QTOF-MS and GC-MS analysis of the obtained PP extract revealed the presence of various phenolic compounds (e.g., ellagic acid), organic acids (e.g., citric acid), sugars (e.g., fructose) and amino acids (e.g., glycine). The proposed methodology could be of use for food, pharmaceutical, and cosmetics applications, thus reinforcing local economies. Full article
9 pages, 377 KiB  
Article
The Stigma and Infertility-Related Stress of Chinese Infertile Women: A Cross-Sectional Study
by Dan Luo, Yi-Bei Zhouchen, Lu Li, Yu-Lei Jiang, Yi Liu, Sharon R. Redding, Rong Wang and Yan-Qiong Ouyang
Healthcare 2024, 12(11), 1053; https://doi.org/10.3390/healthcare12111053 (registering DOI) - 21 May 2024
Abstract
Objectives: This study was conducted to investigate the stigma status of infertile women in China and to determine the influencing factors. Methods: 366 infertile women from the gynecological and reproductive departments of two tertiary hospitals completed socio-demographic questionnaires, the Infertility Stigma Scale (ISS) [...] Read more.
Objectives: This study was conducted to investigate the stigma status of infertile women in China and to determine the influencing factors. Methods: 366 infertile women from the gynecological and reproductive departments of two tertiary hospitals completed socio-demographic questionnaires, the Infertility Stigma Scale (ISS) and the Mandarin Fertility Problem Inventory (M-FPI). Results: The scores of stigma and infertility-related stress in infertile women were (52.51 ± 17.74) and (150.03 ± 17.51), respectively. Multiple regression analysis found that location of residence, regarding children as the most important thing in life, talking to others about infertility and infertility-related stress were the main influencing factors of stigma in infertile women, which explained 17.3% of the total variance. Conclusions: In the current study, the level of stigma in women with infertility was at the middle range. Location of residence, regarding children as the most important thing in life, whether to talk with others about infertility and infertility-related stress were the four main influencing factors of stigma. Full article
(This article belongs to the Section Women's Health Care)
17 pages, 4586 KiB  
Article
Material Removal and Surface Modification of Copper under Ultrasonic-Assisted Electrochemical Polishing
by Xinqian Zhang, Jinhu Wang, Jiaqi Chen, Binghai Lyu and Julong Yuan
Processes 2024, 12(6), 1046; https://doi.org/10.3390/pr12061046 (registering DOI) - 21 May 2024
Abstract
Electrochemical polishing exhibits high efficiency and simplicity of operation and presents broad prospects in metal field processing. However, the poor conductivity of the surface oxides generated during electrochemical polishing may lead to uneven electrolysis and surface protrusions if not promptly removed. This study [...] Read more.
Electrochemical polishing exhibits high efficiency and simplicity of operation and presents broad prospects in metal field processing. However, the poor conductivity of the surface oxides generated during electrochemical polishing may lead to uneven electrolysis and surface protrusions if not promptly removed. This study combined ultrasonic treatment with electrochemical polishing and adjusted the angle of the ultrasonic jet to investigate the effect of ultrasonic-assisted electrochemical polishing on the removal of protruding microstructures. The study examined the surface morphology, hardness, residual stress, and workpiece contact angle before and after processing. The results demonstrated that ultrasonic assistance can effectively promote electrochemical reactions and improve the removal efficiency of the workpiece surface. With an increase in ultrasonic power and processing time, the corrosion potential of the workpiece decreased, which accelerated the material removal rate. The roughness of the workpiece surface increased within the threshold. Additionally, the surface hardness increased to 105.3 HV, the residual stress was enhanced by 517.89 MPa, and the contact angle increased to 104.7°. The erosion characteristics and hydrophobicity of the workpiece were also enhanced. Full article
(This article belongs to the Section Materials Processes)
19 pages, 3423 KiB  
Article
Microstructural Assessment of Pozzolanic Activity of Ilmenite Mud Waste Compared to Fly Ash in Cement Composites
by Filip Chyliński
Materials 2024, 17(11), 2483; https://doi.org/10.3390/ma17112483 (registering DOI) - 21 May 2024
Abstract
This paper presents the influence of adding rinsed ilmenite mud waste (R-MUD) on the microstructure of Portland cement composites, compared to similar composites containing fly ash (FA). The aim of the study is the assessment of the pozzolanic activity of ilmenite mud waste [...] Read more.
This paper presents the influence of adding rinsed ilmenite mud waste (R-MUD) on the microstructure of Portland cement composites, compared to similar composites containing fly ash (FA). The aim of the study is the assessment of the pozzolanic activity of ilmenite mud waste by its impact on the microstructure of the cement matrix in comparison to the undoubted pozzolanic activity of fly ash. The presented test results include pore size distribution, phase composition, pozzolanic activity using thermal analysis, R3 bound water test, and microstructural analysis using scanning electron microscopy (SEM). Tests were performed on mortars cured for up to 360 days. The results presented in this paper have shown that R-MUD has a pozzolanic activity level similar to FA or better, which influences pore size distribution in the composite and its microstructure. During the curing process, the microstructure of composites containing R-MUD became more compact and sealed than those with FA, which might also increase their durability. The results of the R3 tests have proven the pozzolanic activity of R-MUD but its level was lower than FA. R-MUD might be a useful substitute for fly ash, especially given the lack of good-quality fly ash on the market. Full article
(This article belongs to the Special Issue Environmentally Friendly Composites Incorporating Waste Materials)
29 pages, 2481 KiB  
Article
Research on Active Safety Situation of Road Passenger Transportation Enterprises: Evaluation, Prediction, and Analysis
by Lili Zheng, Shiyu Cao, Tongqiang Ding, Jian Tian and Jinghang Sun
Entropy 2024, 26(6), 434; https://doi.org/10.3390/e26060434 (registering DOI) - 21 May 2024
Abstract
The road passenger transportation enterprise is a complex system, requiring a clear understanding of their active safety situation (ASS), trends, and influencing factors. This facilitates transportation authorities to promptly receive signals and take effective measures. Through exploratory factor analysis and confirmatory factor analysis, [...] Read more.
The road passenger transportation enterprise is a complex system, requiring a clear understanding of their active safety situation (ASS), trends, and influencing factors. This facilitates transportation authorities to promptly receive signals and take effective measures. Through exploratory factor analysis and confirmatory factor analysis, we delved into potential factors for evaluating ASS and extracted an ASS index. To predict obtaining a higher ASS information rate, we compared multiple time series models, including GRU (gated recurrent unit), LSTM (long short-term memory), ARIMA, Prophet, Conv_LSTM, and TCN (temporal convolutional network). This paper proposed the WDA-DBN (water drop algorithm-Deep Belief Network) model and employed DEEPSHAP to identify factors with higher ASS information content. TCN and GRU performed well in the prediction. Compared to the other models, WDA-DBN exhibited the best performance in terms of MSE and MAE. Overall, deep learning models outperform econometric models in terms of information processing. The total time spent processing alarms positively influences ASS, while variables such as fatigue driving occurrences, abnormal driving occurrences, and nighttime driving alarm occurrences have a negative impact on ASS. Full article
(This article belongs to the Special Issue Recent Advances in Statistical Inference for High Dimensional Data)
18 pages, 592 KiB  
Review
Spider and Wasp Acylpolyamines: Venom Components and Versatile Pharmacological Leads, Probes, and Insecticidal Agents
by Gandhi Rádis-Baptista and Katsuhiro Konno
Toxins 2024, 16(6), 234; https://doi.org/10.3390/toxins16060234 (registering DOI) - 21 May 2024
Abstract
Polyamines (PAs) are polycationic biogenic amines ubiquitously present in all life forms and are involved in molecular signaling and interaction, determining cell fate (e.g., cell proliferation, dif-ferentiation, and apoptosis). The intricate balance in the PAs’ levels in the tissues will determine whether beneficial [...] Read more.
Polyamines (PAs) are polycationic biogenic amines ubiquitously present in all life forms and are involved in molecular signaling and interaction, determining cell fate (e.g., cell proliferation, dif-ferentiation, and apoptosis). The intricate balance in the PAs’ levels in the tissues will determine whether beneficial or detrimental effects will affect homeostasis. It’s crucial to note that endoge-nous polyamines, like spermine and spermidine, play a pivotal role in our understanding of neu-rological disorders as they interact with membrane receptors and ion channels, modulating neuro-transmission. In spiders and wasps, monoamines (histamine, dopamine, serotonin, tryptamine) and polyamines (spermine, spermidine, acyl polyamines) comprise, with peptides and other sub-stances, the low molecular weight fraction of the venom. Acylpolyamines are venom components exclusively from spiders and a species of solitary wasp, which cause inhibition chiefly of iono-tropic glutamate receptors (AMPA, NMDA, and KA iGluRs) and nicotinic acetylcholine receptors (nAChRs). The first venom acylpolyamines ever discovered (argiopines, Joro and Nephila toxins, and philanthotoxins) have provided templates for the design and synthesis of numerous analogs. Thus far, analogs with high potency exert their effect at nanomolar concentrations, with high se-lectivity toward their ionotropic and ligand receptors. These potent and selective acylpolyamine analogs can serve biomedical purposes and pest control management. The structural modification of acylpolyamine with photolabile and fluorescent groups converted these venom toxins into use-ful molecular probes to discriminate iGluRs and nAchRs in cell populations. In various cases, the linear polyamines, like spermine and spermidine, constituting venom acyl polyamine backbones, have served as cargoes to deliver active molecules via a polyamine uptake system on diseased cells for targeted therapy. In this review, we examined examples of biogenic amines that play an essential role in neural homeostasis and cell signaling, contributing to human health and disease outcomes, which can be present in the venom of arachnids and hymenopterans. With an empha-sis on the spider and wasp venom acylpolyamines, we focused on the origin, structure, derivatiza-tion, and biomedical and biotechnological application of these pharmacologically attractive, chemically modular venom components. Full article
(This article belongs to the Section Animal Venoms)
21 pages, 603 KiB  
Article
Relation of the Content of Sustainable Components (HEFAs) in Blends with Hydrotreated Straight-Run Kerosene to the Properties of Aviation Fuel
by Rosen Dinkov, Dicho Stratiev, Ivo Andreev, Georgi Georgiev, Magdalena Angelova, Rositsa Zhivkova Dimitrova and Vesislava Toteva
Processes 2024, 12(6), 1045; https://doi.org/10.3390/pr12061045 (registering DOI) - 21 May 2024
Abstract
An expected increase in the demand for aviation transport service will result in the deterioration of the environment and human health, respectively, due to extra greenhouse gas (GHG) emissions. Concerns from EU institutions about the issue have led to legislation initiatives and, [...] Read more.
An expected increase in the demand for aviation transport service will result in the deterioration of the environment and human health, respectively, due to extra greenhouse gas (GHG) emissions. Concerns from EU institutions about the issue have led to legislation initiatives and, later, to development of Regulation (EU) 2023/2405 for the reduction of GHG emissions via the substitution of fossil kerosene with an increasing share of sustainable components. Hydroprocessed esters and fatty acids (HEFAs) are the most commercially acceptable sustainable alternative but their influence on aviation fuel properties needs to be further evaluated in terms of all required and extended properties, as per ASTM D1655. The main properties, together with the rarely reported upon existent gum, water separation, corrosion, and the electrical conductivity of HEFAs and their blends with fossil kerosene were quantitatively evaluated in this study. For every increase of 10% (v/v) of HEFAs, the following fuel properties improve: the freezing point decreases by 1.3 °C, the smoke point increases by an average of 3 mm, and the specific net energy increases by 0.08 MJ/kg. The acidity of HEFAs are an order of magnitude higher than that of conventional aviation fuel and, thus, close to the limit. The existent gum of the studied SAF is higher than that of fossil kerosene due to, most probably, the presence of non-evaporated residual material. Full article
(This article belongs to the Section Chemical Processes and Systems)
22 pages, 1235 KiB  
Article
Time-Optimal Trajectory Planning and Tracking for Autonomous Vehicles
by Jun-Ting Li, Chih-Keng Chen and Hongbin Ren
Sensors 2024, 24(11), 3281; https://doi.org/10.3390/s24113281 (registering DOI) - 21 May 2024
Abstract
This article presents a hierarchical control framework for autonomous vehicle trajectory planning and tracking, addressing the challenge of accurately following high-speed, at-limit maneuvers. The proposed time-optimal trajectory planning and tracking (TOTPT) framework utilizes a hierarchical control structure, with an offline trajectory optimization (TRO) [...] Read more.
This article presents a hierarchical control framework for autonomous vehicle trajectory planning and tracking, addressing the challenge of accurately following high-speed, at-limit maneuvers. The proposed time-optimal trajectory planning and tracking (TOTPT) framework utilizes a hierarchical control structure, with an offline trajectory optimization (TRO) module and an online nonlinear model predictive control (NMPC) module. The TRO layer generates minimum-lap-time trajectories using a direct collocation method, which optimizes the vehicle’s path, velocity, and control inputs to achieve the fastest possible lap time, while respecting the vehicle dynamics and track constraints. The NMPC layer is responsible for precisely tracking the reference trajectories generated by the TRO in real time. The NMPC also incorporates a preview algorithm that utilizes the predicted future travel distance to estimate the optimal reference speed and curvature for the next time step, thereby improving the overall tracking performance. Simulation results on the Catalunya circuit demonstrated the framework’s capability to accurately follow the time-optimal raceline at an average speed of 116 km/h, with a maximum lateral error of 0.32 m. The NMPC module uses an acados solver with a real-time iteration (RTI) scheme, to achieve a millisecond-level computation time, making it possible to implement it in real time in autonomous vehicles. Full article
(This article belongs to the Section Navigation and Positioning)
23 pages, 995 KiB  
Article
Analysis of the Impact of U.S. Trade Policy Uncertainty on China’s Grain Trade
by Lulu Yang, Yankai Gai, An Zhang and Lihui Wang
Sustainability 2024, 16(11), 4332; https://doi.org/10.3390/su16114332 (registering DOI) - 21 May 2024
Abstract
U.S. trade protectionism has frequently risen recently, and trade policy fluctuations have become increasingly significant. In this context, examining the impact of U.S. trade policy uncertainty on China’s grain trade is of great significance to China’s response to changes in the international trade [...] Read more.
U.S. trade protectionism has frequently risen recently, and trade policy fluctuations have become increasingly significant. In this context, examining the impact of U.S. trade policy uncertainty on China’s grain trade is of great significance to China’s response to changes in the international trade situation, guaranteeing national food security and promoting sustainable agricultural development. From the statistical data, the U.S. trade policy uncertainty and China’s grain imports primarily show a reverse trend, and China’s grain exports show a positive trend. To further explore the impact of U.S. trade policy uncertainty on China’s grain trade, this study selects the monthly data from July 2003 to December 2022. It conducts impulse response analysis by constructing a vector autoregressive model with stochastic volatility. It is found that the impact of U.S. trade policy uncertainty on China’s grain trade has prominent time-varying characteristics and point-in-time effects, and the impact on different kinds of grain is heterogeneous. In this regard, China needs to clarify the nature of the trade dispute between China and the United States, reasonably utilize the multilateral coordination mechanism of the WTO, coordinate the international and domestic markets, adjust the short board of grain trade, and safeguard the sustainable development of Chinese agriculture. Full article
(This article belongs to the Special Issue Agri-Food Economics and Rural Sustainable Development)
13 pages, 978 KiB  
Article
Effect of the Spading Machine on Various Soil Parameters at Different Tillage Depths
by Neeraj Kumar Singh, Baldev Dogra, Gursahib Singh Manes, Dilwar Singh Parihar, Ali Salem and Ahmed Elbeltagi
Sustainability 2024, 16(11), 4334; https://doi.org/10.3390/su16114334 (registering DOI) - 21 May 2024
Abstract
This study was carried out to investigate the effect of the spading machine as a sustainable tillage tool at different depths of tillage on soil parameters. The spading machine was evaluated for two independent parameters: soil type and depth of cut. The observed [...] Read more.
This study was carried out to investigate the effect of the spading machine as a sustainable tillage tool at different depths of tillage on soil parameters. The spading machine was evaluated for two independent parameters: soil type and depth of cut. The observed dependent parameters were the bulk density of soil, mean clod size, soil strength, torque requirement, fuel consumption, and cost of operation. The bulk density varied from 1.18 to 1.39 g/cm3, the mean clod size between 12.72 and 68.37 mm, the soil strength between 69 and 4714.5 kPa, the torque requirement between 206 and 344.62 N-m, the fuel consumption between 13.60 and 21.83 l/ha, and cost of operation ranged between 2670.37 INR/ha (34.71 USD/ha) and 3635.87 INR/ha (47.27 USD/ha). It was observed that with the increase in tillage depth, the dependent parameters were also increasing, except the cost of operation varied nonsignificantly. In comparison to the spading machine, other primary tillage tools resulted in higher bulk density and fuel consumption, whereas mean clod size and cost of operation were reported higher except for the rotary tillage tool. Thus, the spading machine could be a sustainable tillage tool for long-term agricultural goals. Full article
(This article belongs to the Special Issue Sustainable Soil Management and Crop Production Research)
19 pages, 3122 KiB  
Article
Enhancing Human Key Point Identification: A Comparative Study of the High-Resolution VICON Dataset and COCO Dataset Using BPNET
by Yunju Lee, Bibash Lama, Sunghwan Joo and Jaerock Kwon
Appl. Sci. 2024, 14(11), 4351; https://doi.org/10.3390/app14114351 (registering DOI) - 21 May 2024
Abstract
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three diverse 2D cameras. It facilitates the training of neural networks [...] Read more.
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three diverse 2D cameras. It facilitates the training of neural networks to estimate 2D key joint positions from images and videos. The study involved 25 healthy adults (17 males, 8 females), executing normal gait for 2 to 3 s. The VICON system captured 3D ground truth data, while the three 2D cameras collected images from different perspectives (0°, 45°, and 135°). The dataset was used to train the Body Pose Network (BPNET), a popular neural network model developed by NVIDIA TAO. Additionally, a comparison entails another BPNET model trained on the COCO 2017 dataset, featuring over 118,000 annotated images. Notably, the proposed dataset exhibited a higher level of accuracy (14.5%) than COCO 2017, despite comprising one-fourth of the image count (23,741 annotated image). This substantial reduction in data size translates to improvements in computational efficiency during model training. Furthermore, the unique dataset’s emphasis on gait and precise prediction of key joint positions during normal gait movements distinguish it from existing alternatives. This study has implications ranging from gait-based person identification, and non-invasive concussion detection through sports temporal analysis, to pathologic gait pattern identification. Full article
(This article belongs to the Special Issue Advanced Sensors for Postural or Gait Stability Assessment)
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18 pages, 3008 KiB  
Review
Laying Hens: Why Smothering and Not Surviving?—A Literature Review
by Caroline Citta Mazocco, Sérgio Luís de Castro Júnior, Robson Mateus Freitas Silveira, Rosangela Poletto and Iran José Oliveira da Silva
Animals 2024, 14(11), 1518; https://doi.org/10.3390/ani14111518 (registering DOI) - 21 May 2024
Abstract
The proliferation of rearing systems providing opportunities for birds to engage in natural behaviors can trigger behavioral repertoires that when not manageable compromise animal welfare and the economic viability of the flock. Smothering in laying hens has long been perceived as “natural” or [...] Read more.
The proliferation of rearing systems providing opportunities for birds to engage in natural behaviors can trigger behavioral repertoires that when not manageable compromise animal welfare and the economic viability of the flock. Smothering in laying hens has long been perceived as “natural” or the result of hysteria among birds in the flock. However, the current literature has recognized smothering as an abnormal outcome with the potential to result in significant losses in cage-free poultry systems. Recent studies have specifically aimed to categorize the organization of smothering behavior and highlight its potential causes and consequences. In this study, literature review and bibliographic mapping, drawing on published articles and engagement with poultry farmers through extension and rural technical assistance, were employed. The findings indicate that smothering is a behavior triggered by factors related to the environment in which the laying hens are kept. This study concludes that there is a critical need for more rigorous and detailed research to elucidate the nuances of avian behavioral physiology and assess the impact of production systems on animal welfare and the economic impacts on the flock. This research contributes to a deeper understanding of bird behavior in high-production environments and provides practical insights for the poultry industry. Full article
(This article belongs to the Special Issue Advances in Poultry Behaviour and Welfare)
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13 pages, 546 KiB  
Article
Patterns of Intergenerational Educational (Im)Mobility
by Enzo Valentini
Economies 2024, 12(6), 126; https://doi.org/10.3390/economies12060126 (registering DOI) - 21 May 2024
Abstract
Intergenerational education mobility is a key dimension of social mobility and explores the extent to which educational attainment is transmitted across generations within a society. The implications of low education mobility concern both equity (everyone should have the same opportunities) and efficiency (it [...] Read more.
Intergenerational education mobility is a key dimension of social mobility and explores the extent to which educational attainment is transmitted across generations within a society. The implications of low education mobility concern both equity (everyone should have the same opportunities) and efficiency (it would be good for the economy and society if the most gifted and deserving young people were to study and not the children of the already educated). The literature identifies several drivers that can influence the level of social mobility in general and education mobility specifically, including characteristics of educational systems, public spending, degree of urbanisation, informal frictions, and beliefs. This paper seeks to identify ‘patterns of intergenerational education (im)mobility’ through a cluster analysis that takes into account the level of intergenerational mobility in education and a number of variables concerning its possible drivers, considering data on 82 countries (with different levels of development). The advantage of cluster analysis lies in the possibility of identifying regularities, but avoiding reasoning ‘on average’, i.e., safeguarding the possibility that different social patterns may exist. The results also allow us to speculate on possible policies to increase school mobility, highlighting, among other things, the ‘equalising’ role played by public spending on education. Full article
15 pages, 980 KiB  
Article
Potential of Nettle Infusion to Protect Common Bean from Halo Blight Disease
by Carlota Cerezo, Penélope García-Angulo, Asier Largo-Gosens and María Luz Centeno
Horticulturae 2024, 10(6), 536; https://doi.org/10.3390/horticulturae10060536 (registering DOI) - 21 May 2024
Abstract
The use of plant-based preparations to replace chemical pesticides is a challenge for sustainable agriculture. Preparations from nettle (Urtica dioica L.) are good candidates, as the treatment of common bean plants (Phaseolus vulgaris L.) with aqueous suspensions of nettle reduced symptoms [...] Read more.
The use of plant-based preparations to replace chemical pesticides is a challenge for sustainable agriculture. Preparations from nettle (Urtica dioica L.) are good candidates, as the treatment of common bean plants (Phaseolus vulgaris L.) with aqueous suspensions of nettle reduced symptoms of halo blight disease caused by Pseudomonas syringae pv. phaseolicola (Pph). The aim of the present work was to test if nettle infusions (Ui) have similar effects and find out what activity is behind this: antimicrobial, promotion of the natural defenses of plants, and/or antioxidant. To achieve this, Pph growth was tested in the presence of infusions of nettle leaves collected in two different years (Ui18 and Ui22), and we found that it was only weakly inhibited at high concentrations of Ui18. Interestingly, Ui22 promoted bacteria growth at all concentrations. Second, we estimated the production of reactive oxygen species (ROS) in response to flagellin22 (flg22) in common bean leaf discs, since recognition of this bacterial peptide usually leads to ROS accumulation in tissues as a plant immune response. However, leaf discs that were preincubated in Ui showed no accumulation of ROS after flg22 treatment, suggesting that Ui can neutralize ROS production. Finally, in a Pph inoculation experiment of common bean plants grown in vitro, we observed that pretreatment of plants with Ui drastically reduced foliar oxidative damage and disease symptoms 6 h after inoculation. This effect was more noticeable for Ui22, which was related to the higher antioxidant activity found in this extract in comparison with Ui18. These results suggest that the protective properties of Ui are mainly due to the content of antioxidant bioactive compounds. Full article
(This article belongs to the Special Issue The Diagnosis, Management, and Epidemiology of Plant Diseases)
23 pages, 982 KiB  
Review
Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms
by Takashi Sonam Tashi Tanaka, Sheng Wang, Johannes Ravn Jørgensen, Marco Gentili, Armelle Zaragüeta Vidal, Anders Krogh Mortensen, Bharat Sharma Acharya, Brittany Deanna Beck and René Gislum
Drones 2024, 8(6), 212; https://doi.org/10.3390/drones8060212 (registering DOI) - 21 May 2024
Abstract
The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replacements for more laborious and time-consuming manual field phenotyping. This review aims to elucidate [...] Read more.
The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replacements for more laborious and time-consuming manual field phenotyping. This review aims to elucidate the advantages and challenges of UAV-based phenotyping techniques. This is a comprehensive overview summarizing the UAV platforms, sensors, and data processing while also introducing recent technological developments. Recently developed software and sensors greatly enhance the accessibility of UAV-based phenotyping, and a summary of recent research (publications 2019–2024) provides implications for future research. Researchers have focused on integrating multiple sensing data or utilizing machine learning algorithms, such as ensemble learning and deep learning, to enhance the prediction accuracies of crop physiological traits. However, this approach will require big data alongside laborious destructive measurements in the fields. Future research directions will involve standardizing the process of merging data from multiple field experiments and data repositories. Previous studies have focused mainly on UAV technology in major crops, but there is a high potential in minor crops or cropping systems for future sustainable crop production. This review can guide new practitioners who aim to implement and utilize UAV-based phenotyping. Full article
(This article belongs to the Special Issue Advances of UAV in Precision Agriculture)
19 pages, 1526 KiB  
Review
Bioplastic Production from Agri-Food Waste through the Use of Haloferax mediterranei: A Comprehensive Initial Overview
by Angela Longo, Francesca Fanelli, Marianna Villano, Marco Montemurro and Carlo Giuseppe Rizzello
Microorganisms 2024, 12(6), 1038; https://doi.org/10.3390/microorganisms12061038 (registering DOI) - 21 May 2024
Abstract
The research on bioplastics (both biobased and biodegradable) is steadily growing and discovering environmentally friendly substitutes for conventional plastic. This review highlights the significance of bioplastics, analyzing, for the first time, the state of the art concerning the use of agri-food waste as [...] Read more.
The research on bioplastics (both biobased and biodegradable) is steadily growing and discovering environmentally friendly substitutes for conventional plastic. This review highlights the significance of bioplastics, analyzing, for the first time, the state of the art concerning the use of agri-food waste as an alternative substrate for biopolymer generation using Haloferax mediterranei.. H. mediterranei is a highly researched strain able to produce polyhydroxybutyrate (PHB) since it can grow and produce bioplastic in high-salinity environments without requiring sterilization. Extensive research has been conducted on the genes and pathways responsible for PHB production using H. mediterranei to find out how fermentation parameters can be regulated to enhance cell growth and increase PHB accumulation. This review focuses on the current advancements in utilizing food waste as a substitute for costly substrates to reduce feedstock expenses. Specifically, it examines the production of biomass and the recovery of PHB from agri-food waste. Furthermore, it emphasizes the characterization of PHB and the significance of hydroxyvalerate (HV) abundance in the formation of Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) copolymer. The downstream processing options are described, and the crucial factors associated with industrial scale-up are assessed, including substrates, bioreactors, process parameters, and bioplastic extraction and purification. Additionally, the economic implications of various options are discussed. Full article
(This article belongs to the Special Issue Microbial Fermentation, Food and Food Sustainability)
22 pages, 1610 KiB  
Article
MS785-MS27 Reactive Misfolded/Non-Native Zn-Deficient SOD1 Species Exhibit Cytotoxicity and Adopt Heterozygous Conformations in Motor Neurons
by Eiichi Tokuda, Yume Sakashita, Naoya Tokoro, Ayano Date, Yasuhiro Kosuge and Tomohiro Miyasaka
Int. J. Mol. Sci. 2024, 25(11), 5603; https://doi.org/10.3390/ijms25115603 (registering DOI) - 21 May 2024
Abstract
Misfolding of superoxide dismutase-1 (SOD1) is a pathological hallmark of amyotrophic lateral sclerosis (ALS) with SOD1 mutations. The development of antibodies specific for misfolded SOD1 deepens our understanding of how the protein participates in ALS pathogenesis. Since the term “misfolding” refers to various [...] Read more.
Misfolding of superoxide dismutase-1 (SOD1) is a pathological hallmark of amyotrophic lateral sclerosis (ALS) with SOD1 mutations. The development of antibodies specific for misfolded SOD1 deepens our understanding of how the protein participates in ALS pathogenesis. Since the term “misfolding” refers to various disordered conformers other than the natively folded one, which misfolded species are recognized by specific antibodies should be determined. Here, we molecularly characterized the recognition by MS785-MS27, an antibody cocktail experimentally confirmed to recognize over 100 ALS-linked SOD1 mutants. Indirect ELISA revealed that the antibody cocktail recognized Zn-deficient wild-type and mutated SOD1 species. It also recognized conformation-disordered wild-type and mutated SOD1 species, such as unfolded and oligomeric forms, but had less affinity for the aggregated form. Antibody-reactive SOD1 exhibited cytotoxicity to a motor neuron cell model, which was blocked by Zn treatment with Zn-deficient SOD1. Immunohistochemistry revealed antibody-reactive SOD1 mainly in spinal motor neurons of SOD1G93A mice throughout the disease course, and the distribution after symptomatic stages differed from that of other misfolded SOD1 species. This suggests that misfolded/non-native SOD1 species exist as heterogeneous populations. In conclusion, MS785-MS27 recognizes various conformation-disordered SOD1 species lacking the Zn ion. Full article
(This article belongs to the Section Molecular Neurobiology)
25 pages, 9549 KiB  
Article
Multi-Regional Integrated Energy Economic Dispatch Considering Renewable Energy Uncertainty and Electric Vehicle Charging Demand Based on Dynamic Robust Optimization
by Bo Zhou and Erchao Li
Energies 2024, 17(11), 2453; https://doi.org/10.3390/en17112453 (registering DOI) - 21 May 2024
Abstract
Aiming at the problem of source-load uncertainty caused by the increasing penetration of renewable energy and the large-scale integration of electric vehicles (EVs) into modern power system, a robust optimal operation scheduling algorithm for regional integrated energy systems (RIESs) with such uncertain situations [...] Read more.
Aiming at the problem of source-load uncertainty caused by the increasing penetration of renewable energy and the large-scale integration of electric vehicles (EVs) into modern power system, a robust optimal operation scheduling algorithm for regional integrated energy systems (RIESs) with such uncertain situations is urgently needed. Based on this background, aiming at the problem of the irregular charging demand of EV, this paper first proposes an EV charging demand model based on the trip chain theory. Secondly, a multi-RIES optimization operation model including a shared energy storage station (SESS) and integrated demand response (IDR) is established. Aiming at the uncertainty problem of renewable energy, this paper transforms this kind of problem into a dynamic robust optimization with time-varying parameters and proposes an improved robust optimization over time (ROOT) algorithm based on the scenario method and establishes an optimal scheduling mode with the minimum daily operation cost of a multi-regional integrated energy system. Finally, the proposed uncertainty analysis method is verified by an example of multi-RIES. The simulation results show that in the case of the improved ROOT proposed in this paper to solve the robust solution of renewable energy, compared with the traditional charging load demand that regards the EVs as a whole, the EV charging load demand based on the trip chain can reduce the cost of EV charging by 3.5% and the operating cost of the multi-RIES by 11.7%. With the increasing number of EVs, the choice of the starting point of the future EV trip chain is more variable, and the choice of charging methods is more abundant. Therefore, modeling the charging demand of EVs under more complex trip chains is the work that needs to be studied in the future. Full article
(This article belongs to the Section E: Electric Vehicles)
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12 pages, 653 KiB  
Article
Antimicrobial Susceptibility of Bacterial Pathogens from Patients with Ocular Surface Infections in Germany, 2020–2021: A Comparison with the Data from Three Previous National Studies
by Esther Wohlfarth, Michael Kresken and Fabian Deuchert
Antibiotics 2024, 13(6), 471; https://doi.org/10.3390/antibiotics13060471 (registering DOI) - 21 May 2024
Abstract
Bacteria are a major cause of superficial eye infections, especially in children. The present study aimed to (i) determine the antimicrobial susceptibility patterns of ocular bacterial pathogens recovered in 20 laboratories during the period 2020–2021 and (ii) compare these results to those from [...] Read more.
Bacteria are a major cause of superficial eye infections, especially in children. The present study aimed to (i) determine the antimicrobial susceptibility patterns of ocular bacterial pathogens recovered in 20 laboratories during the period 2020–2021 and (ii) compare these results to those from three studies of the same design conducted in 2004, 2009, and 2015 in Germany. Cut-off values defined by EUCAST were used as breakpoints. A total of 1366 bacterial isolates were collected. The most frequent ocular specimens were conjunctival smears (54.3%). Susceptibility rates of Staphylococcus aureus (n = 594), Haemophilus influenzae (n = 178), and Streptococcus pneumoniae (n = 149) to chloramphenicol, gentamicin, kanamycin, neomycin, levofloxacin, ofloxacin, and oxytetracycline were >90% each. Overall, only minor changes in resistance levels were observed in the period since 2004. Therefore, all tested antimicrobials can still be recommended for local therapy of ocular surface infections. Full article
22 pages, 13674 KiB  
Article
SVHRSP Alleviates Age-Related Cognitive Deficiency by Reducing Oxidative Stress and Neuroinflammation
by Yingzi Wang, Zhenhua Wang, Songyu Guo, Qifa Li, Yue Kong, Aoran Sui, Jianmei Ma, Li Lu, Jie Zhao and Shao Li
Antioxidants 2024, 13(6), 628; https://doi.org/10.3390/antiox13060628 (registering DOI) - 21 May 2024
Abstract
Background: Our previous studies have shown that scorpion venom heat-resistant synthesized peptide (SVHRSP) induces a significant extension in lifespan and improvements in age-related physiological functions in worms. However, the mechanism underlying the potential anti-aging effects of SVHRSP in mammals remains elusive. Methods: Following [...] Read more.
Background: Our previous studies have shown that scorpion venom heat-resistant synthesized peptide (SVHRSP) induces a significant extension in lifespan and improvements in age-related physiological functions in worms. However, the mechanism underlying the potential anti-aging effects of SVHRSP in mammals remains elusive. Methods: Following SVHRSP treatment in senescence-accelerated mouse resistant 1 (SAMR1) or senescence-accelerated mouse prone 8 (SAMP8) mice, behavioral tests were conducted and brain tissues were collected for morphological analysis, electrophysiology experiments, flow cytometry, and protein or gene expression. The human neuroblastoma cell line (SH-SY5Y) was subjected to H2O2 treatment in cell experiments, aiming to establish a cytotoxic model that mimics cellular senescence. This model was utilized to investigate the regulatory mechanisms underlying oxidative stress and neuroinflammation associated with age-related cognitive impairment mediated by SVHRSP. Results: SVHRSP significantly ameliorated age-related cognitive decline, enhanced long-term potentiation, restored synaptic loss, and upregulated the expression of synaptic proteins, therefore indicating an improvement in synaptic plasticity. Moreover, SVHRSP demonstrated a decline in senescent markers, including SA-β-gal enzyme activity, P16, P21, SIRT1, and cell cycle arrest. The underlying mechanisms involve an upregulation of antioxidant enzyme activity and a reduction in oxidative stress-induced damage. Furthermore, SVHRSP regulated the nucleoplasmic distribution of NRF2 through the SIRT1-P53 pathway. Further investigation indicated a reduction in the expression of proinflammatory factors in the brain after SVHRSP treatment. SVHRSP attenuated neuroinflammation by regulating the NF-κB nucleoplasmic distribution and inhibiting microglial and astrocytic activation through the SIRT1-NF-κB pathway. Additionally, SVHRSP significantly augmented Nissl body count while suppressing neuronal loss. Conclusion: SVHRSP could remarkably improve cognitive deficiency by inhibiting oxidative stress and neuroinflammation, thus representing an effective strategy to improve brain health. Full article
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13 pages, 655 KiB  
Article
Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 Versus Placebo as Prophylaxis for Recurrence of Urinary Tract Infections in Children
by Maria Daniel, Hanna Szymanik-Grzelak, Janusz Sierdziński and Małgorzata Pańczyk-Tomaszewska
Microorganisms 2024, 12(6), 1037; https://doi.org/10.3390/microorganisms12061037 (registering DOI) - 21 May 2024
Abstract
Urinary tract infections (UTIs) rank among the most prevalent bacterial infections in children. Probiotics appear to reduce the risk of recurrence of UTIs. This study aimed to evaluate whether probiotics containing Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 therapy prevent UTIs in the [...] Read more.
Urinary tract infections (UTIs) rank among the most prevalent bacterial infections in children. Probiotics appear to reduce the risk of recurrence of UTIs. This study aimed to evaluate whether probiotics containing Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 therapy prevent UTIs in the pediatric population compared to a placebo. A superiority, double-blind, randomized, controlled trial was conducted. In total, 54 children aged 3–18 years with recurrent UTIs or ≥one acute pyelonephritis and ≥one risk factor of recurrence of UTIs were randomly assigned (27 patients in each arm) to a 90-day probiotic or placebo arm. The age, sex, diagnosis, renal function, risk factors, and etiology of UTIs did not vary between the groups. During the intervention, 26% of children taking the probiotic had episodes of UTI, and it was not significantly less than in the placebo group. The number of UTI episodes during the intervention and the follow-up period decreased significantly in both groups, but the difference between them was insignificant. We observed a decrease in UTIs during the study of almost 50% in the probiotic group compared to the placebo group. Probiotics can be used as natural, safe prophylaxis for children with risk factors for UTIs in whom antibiotic prevention is not indicated. Full article
(This article belongs to the Special Issue Effects of Probiotics on Health, 2nd Edition)
18 pages, 4842 KiB  
Article
Coordination of SRF-PLL and Grid Forming Inverter Control in Microgrid with Solar PV and Energy Storage
by V. Vignesh Babu, J. Preetha Roselyn and Prabha Sundaravadivel
J. Low Power Electron. Appl. 2024, 14(2), 29; https://doi.org/10.3390/jlpea14020029 (registering DOI) - 21 May 2024
Abstract
Recently, there has been a huge advancement in renewable energy integration in power systems. Power converters with grid-forming or grid-following topologies are typically employed to link these decentralized power sources to the grid. However, because distributed generation has less inertia than synchronous generators, [...] Read more.
Recently, there has been a huge advancement in renewable energy integration in power systems. Power converters with grid-forming or grid-following topologies are typically employed to link these decentralized power sources to the grid. However, because distributed generation has less inertia than synchronous generators, their use of renewable energy sources threatens the electrical grid’s reliability. Suitable control approaches for ensuring frequency and voltage stability in the grid-connected form of operation are established in this study, which offers dynamic, seamless power switching in the islanded mode of operation. In this research, effective Phase Locked Loop (PLL) techniques for grid-forming (GFM) and grid-following (GFL) converters are designed to achieve a smooth transition from grid-tied to islanded mode of operation. In this work, PLL configurations are implemented while considering the active and reactive power, frequency, voltage, and current parameters of the system, and ensuring voltage and frequency stability. The simulation results in a microgrid network that ensures a smooth transition of power transfer while switching between modes of operation, and supports the voltage and frequency stability of the system. Full article
(This article belongs to the Special Issue Energy Aware Solutions for Battery Management Systems)

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