The 2023 MDPI Annual Report has
been released!
 
28 pages, 5132 KiB  
Review
Review of Sensor-Based Subgrade Distress Identifications
by Zhiheng Cheng, Zhengjian Xie, Mingzhao Wei, Yuqing Peng, Cong Du, Yuan Tian and Xiuguang Song
Sensors 2024, 24(9), 2825; https://doi.org/10.3390/s24092825 (registering DOI) - 29 Apr 2024
Abstract
The attributes of diversity and concealment pose formidable challenges in the accurate detection and efficacious management of distresses within subgrade structures. The onset of subgrade distresses may precipitate structural degradation, thereby amplifying the frequency of traffic incidents and instigating economic ramifications. Accurate and [...] Read more.
The attributes of diversity and concealment pose formidable challenges in the accurate detection and efficacious management of distresses within subgrade structures. The onset of subgrade distresses may precipitate structural degradation, thereby amplifying the frequency of traffic incidents and instigating economic ramifications. Accurate and timely detection of subgrade distresses is essential for maintaining and repairing road sections with existing distresses. This helps to prolong the service life of road infrastructure and reduce financial burden. In recent years, the advent of numerous novel technologies and methodologies has propelled significant advancements in subgrade distress detection. Therefore, this review delineates a concentrated examination of subgrade distress detection, methodically consolidating and presenting various techniques while dissecting their respective merits and constraints. By furnishing comprehensive guidance on subgrade distress detection, this review facilitates the expedient identification and targeted treatment of subgrade distresses, thereby fortifying safety and enhancing durability. The pivotal role of this review in bolstering the construction and operational facets of transportation infrastructure is underscored. Full article
(This article belongs to the Section Fault Diagnosis & Sensors)
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11 pages, 232 KiB  
Review
Sublobar Resection of Non-Small-Cell Lung Cancer: Wedge Resection vs. Segmentectomy
by Kyeong Ri Yu and Walker A. Julliard
Curr. Oncol. 2024, 31(5), 2497-2507; https://doi.org/10.3390/curroncol31050187 (registering DOI) - 29 Apr 2024
Abstract
Lung cancer is the most common cause of cancer death. The mainstay treatment for non-small-cell lung cancer (NSCLC), particularly in the early stages, is surgical resection. Traditionally, lobectomy has been considered the gold-standard technique. Sublobar resection includes segmentectomy and wedge resection. Compared to [...] Read more.
Lung cancer is the most common cause of cancer death. The mainstay treatment for non-small-cell lung cancer (NSCLC), particularly in the early stages, is surgical resection. Traditionally, lobectomy has been considered the gold-standard technique. Sublobar resection includes segmentectomy and wedge resection. Compared to lobectomy, these procedures have been viewed as a compromise procedure, reserved for those with poor cardiopulmonary function or who are poor surgical candidates for other reasons. However, with the advances in imaging and surgical techniques, the subject of sublobar resection as a curative treatment is being revisited. Many studies have now shown segmentectomy to be equivalent to lobectomy in patients with small (<2.0 cm), peripheral NSCLC. However, there is a mix of evidence when it comes to wedge resection and its suitability as a curative procedure. At this time, until more data can be found, segmentectomy should be considered before wedge resection for patients with early-stage NSCLC. Full article
17 pages, 4721 KiB  
Article
A Microwave Photonic 2 × 2 IBFD–MIMO Communication System with Narrowband Self-Interference Cancellation
by Ying Ma, Fangjing Shi and Yangyu Fan
Micromachines 2024, 15(5), 593; https://doi.org/10.3390/mi15050593 (registering DOI) - 29 Apr 2024
Abstract
Combined in-band full duplex-multiple input multiple output (IBFD–MIMO) technology can significantly improve spectrum efficiency and data throughput, and has broad application prospects in communications, radar, the Internet of Things (IoT), and other fields. Targeting the self-interference (SI) issue in microwave photonic-based IBFD–MIMO communication [...] Read more.
Combined in-band full duplex-multiple input multiple output (IBFD–MIMO) technology can significantly improve spectrum efficiency and data throughput, and has broad application prospects in communications, radar, the Internet of Things (IoT), and other fields. Targeting the self-interference (SI) issue in microwave photonic-based IBFD–MIMO communication systems, a microwave photonic self-interference cancellation (SIC) method applied to the narrowband 2 × 2 IBFD–MIMO communication system was proposed, simulated, and analyzed. An interleaver was used to construct a polarization multiplexing dual optical frequency comb with a frequency shifting effect, generating a dual-channel reference interference signal. The programmable spectrum processor was employed for filtering, attenuation, and phase-shifting operations, ensuring amplitude and phase matching to eliminate the two self-interference (SI) signals. The simulation results show that the single-frequency SIC depth exceeds 45.8 dB, and the narrowband SIC depth under 30 MHz bandwidth exceeds 32.7 dB. After SIC, the desired signal, employing a 4QAM modulation format, can be demodulated with an error vector magnitude (EVM) as low as 4.7%. Additionally, further channel expansion and system performance optimization are prospected. Full article
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13 pages, 12788 KiB  
Article
Human-Altered Water and Carbon Cycles in the Lake Yangzong Basin since the Yuan Dynasty
by Huayong Li, Yuxue Jing, Hucai Zhang, Xuanxuan Shang, Lizeng Duan, Huayu Li, Donglin Li and Zhuohan Li
Water 2024, 16(9), 1271; https://doi.org/10.3390/w16091271 (registering DOI) - 29 Apr 2024
Abstract
Due to the dual influence of climate change and human activities, the water cycle patterns in the lakesheds of the Yunnan karst plateau are undergoing significant changes, leading to increasingly prominent ecological issues. In the history of Lake Yangzong, an artificial water-diversion channel [...] Read more.
Due to the dual influence of climate change and human activities, the water cycle patterns in the lakesheds of the Yunnan karst plateau are undergoing significant changes, leading to increasingly prominent ecological issues. In the history of Lake Yangzong, an artificial water-diversion channel was excavated, altering the lake basin structure. Human activities have intensified, posing severe challenges to water resource supply and water security in recent decades. To investigate the significant increase in human activities, the temporal and phase changes, and the resulting transformation of the water and carbon cycles in the Lake Yangzong basin, we applied X-ray fluorescence spectroscopy (XRF) to scan elements continuously in a 10.2 m sediment core from this lake. By combining correlation analysis, principal component analysis (PCA), core chronology, and total organic carbon (TOC) content, we reconstructed the historical sequence of geochemical element contents in the Lake Yangzong catchment over the past 13,000 years. The results show that PC1 and PC2 contribute 78.4% and 10.3%, respectively, suggesting that erosion intensity is the main factor influencing the lake sedimentation process. From 13,400 to 680 cal a BP (calibrated years before the present), the sedimentation process in Lake Yangzong was mainly controlled by climatic conditions, with vegetation degradation during cold periods and relatively high erosion intensity in the watershed. During the Yuan dynasty, a province was established by the central government in Yunnan, promoting settlement and attracting a large number of immigrants from other provinces to Yunnan. Human activities in the Lake Yangzong basin began to intensify, surpassing natural changes and becoming the dominant force influencing the sedimentation process. In the Ming and Qing dynasties, the population and cultivated land area in Yunnan further increased, resulting in the significant exacerbation of erosion and soil loss in the watershed due to vegetation destruction. In the year 1388, the Tangchi Canal was excavated, transforming Lake Yangzong to an outflow lake, causing Ca2+ to be lost through the Tangchi Canal and preventing the formation of precipitation due to oversaturation. The research results indicate that human activities in the Lake Yangzong area have intensified since the Yuan dynasty, leading to increased erosion intensity. The excavation of the outflow canal transformed Lake Yangzong from an inland lake basin into an outflow state, simultaneously generating a significant transformation in the water and carbon cycling patterns in the watershed. Full article
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18 pages, 2844 KiB  
Article
A Two-Faced Gut Microbiome: Butyrogenic and Proinflammatory Bacteria Predominate in the Intestinal Milieu of People Living with HIV from Western Mexico
by Tonatiuh Abimael Baltazar-Díaz, Jaime F. Andrade-Villanueva, Paulina Sánchez-Álvarez, Fernando Amador-Lara, Tania Holguín-Aguirre, Karina Sánchez-Reyes, Monserrat Álvarez-Zavala, Rocío Ivette López-Roa, Miriam Ruth Bueno-Topete and Luz Alicia González-Hernández
Int. J. Mol. Sci. 2024, 25(9), 4830; https://doi.org/10.3390/ijms25094830 (registering DOI) - 29 Apr 2024
Abstract
HIV infection results in marked alterations in the gut microbiota (GM), such as the loss of microbial diversity and different taxonomic and metabolic profiles. Despite antiretroviral therapy (ART) partially ablating gastrointestinal alterations, the taxonomic profile after successful new ART has shown wide variations. [...] Read more.
HIV infection results in marked alterations in the gut microbiota (GM), such as the loss of microbial diversity and different taxonomic and metabolic profiles. Despite antiretroviral therapy (ART) partially ablating gastrointestinal alterations, the taxonomic profile after successful new ART has shown wide variations. Our objective was to determine the GM composition and functions in people living with HIV (PLWHIV) under ART in comparison to seronegative controls (SC). Fecal samples from 21 subjects (treated with integrase strand-transfer inhibitors, INSTIs) and 18 SC were included. We employed 16S rRNA amplicon sequencing, coupled with PICRUSt2 and fecal short-chain fatty acid (SCFA) quantification by gas chromatography. The INSTI group showed a decreased α-diversity (p < 0.001) compared to the SC group, at the expense of increased amounts of Pseudomonadota (Proteobacteria), Segatella copri, Lactobacillus, and Gram-negative bacteria. Concurrently, we observed an enrichment in Megasphaera and Butyricicoccus, both SCFA-producing bacteria, and significant elevations in fecal butyrate in this group (p < 0.001). Interestingly, gut dysbiosis in PLWHIV was characterized by a proinflammatory environment orchestrated by Pseudomonadota and elevated levels of butyrate associated with bacterial metabolic pathways, as well as the evident presence of butyrogenic bacteria. The role of this unique GM in PLWHIV should be evaluated, as well as the use of butyrate-based supplements and ART regimens that contain succinate, such as tenofovir disoproxil succinate. This mixed profile is described for the first time in PLWHIV from Mexico. Full article
(This article belongs to the Special Issue Microbiome and Metabolome in the Gastrointestinal Tract, 2nd Edition)
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20 pages, 555 KiB  
Review
Changes in Body Composition and Nutritional Periodization during the Training Macrocycle in Football—A Narrative Review
by Wiktoria Staśkiewicz-Bartecka, Marek Kardas, Grzegorz Zydek, Adam Zając and Jakub Chycki
Nutrients 2024, 16(9), 1332; https://doi.org/10.3390/nu16091332 (registering DOI) - 29 Apr 2024
Abstract
Nutrition periodization in football training is an important determinant of adaptation to cyclic training loads. Personalizing an athlete’s diet is crucial to ensure optimal performance and body composition, depending on the phase of training. The purpose of this review is to answer the [...] Read more.
Nutrition periodization in football training is an important determinant of adaptation to cyclic training loads. Personalizing an athlete’s diet is crucial to ensure optimal performance and body composition, depending on the phase of training. The purpose of this review is to answer the question of how the body composition of football players changes over the training macrocycle and how dietary recommendations should be tailored to specific training periods. The review of scientific evidence was conducted based on the available literature, typing in phrases related to training and nutrition periodization using the PubMed and Google Scholar database methodology tools. A literature search resulted in the selection of 346 sources directly related to the topic of the study, and then those with the highest scientific value were selected. There is a need to adjust energy and nutrient intake according to the different training phases in a football player’s preparation cycle. During the preparatory phase, it is recommended to increase protein and energy intake to support anabolic processes and muscle mass development. During the competitive period, due to the intensity of matches and training, the importance of carbohydrates for glycogen replenishment and recovery is emphasized. The transition phase requires the regulation of caloric intake to prevent adverse changes in body composition. Hydration has been identified as a key element in each phase of training. Cooperation between coaches, nutritionists, and players is essential to optimize sports performance and rapid recovery, and the authors recommend continuous adaptation and nutritional optimization as an integral part of football training. Full article
(This article belongs to the Section Sports Nutrition)
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14 pages, 1324 KiB  
Article
The Influence of Fine Particulate Matter and Cold Weather on Emergency Room Interventions for Childhood Asthma
by Chih-Chun Hsiao, Chun-Gu Cheng, Zih-Tai Hong, Yu-Hsuan Chen and Chun-An Cheng
Life 2024, 14(5), 570; https://doi.org/10.3390/life14050570 (registering DOI) - 29 Apr 2024
Abstract
(1) Background: Children are the most vulnerable to pollution due to their decreased stature, heightened respiratory rate, and frequent outdoor engagement. PM2.5, nitrogen dioxide (NO2), ozone, and cold weather are associated with pediatric asthma. In this study, we investigated [...] Read more.
(1) Background: Children are the most vulnerable to pollution due to their decreased stature, heightened respiratory rate, and frequent outdoor engagement. PM2.5, nitrogen dioxide (NO2), ozone, and cold weather are associated with pediatric asthma. In this study, we investigated the nexus between air pollution, climate factors, and pediatric asthma emergency room visits (ERVs). (2) Method: Pediatric asthma ERV data for healthcare quality from the Taiwanese National Insurance in the Taipei area were obtained from 2015 to 2019. Air pollution and climate factor data were also collected. Poisson regression was employed to determine the relationships with relative risks (RRs). (3) Results: The incidence of pediatric asthma ERVs decreased, with a crude RR of 0.983 (95% CI: 0.98–0.986, p < 0.001). Fine particulate matter (PM2.5) had an adjusted RR of 1.102 (95% CI: 1.037–1.172, p = 0.002) and a 7.7 µg/m3 increase, and air temperature had an adjusted RR of 0.813 (95% CI: 0.745–0.887, p < 0.001) comparing between the highest and lowest quarter air temperature associated with pediatric asthma ERVs. (4) Conclusions: This inquiry underscores the positive associations of PM2.5 and cold weather with pediatric asthma ERVs. The findings could guide the government to establish policies to reduce air pollution and promote children’s health. Full article
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11 pages, 2822 KiB  
Article
Flexible Thermoelectric Device Based on Protrusion-Structured Liquid Metal Elastomer for Gravity Heat Pipe
by Xiaogang Zhang, Xinghua Zhang, Shaocheng Ge, Bailin Zhang, Dongguang Zhang and Jiayi Yang
Micromachines 2024, 15(5), 592; https://doi.org/10.3390/mi15050592 (registering DOI) - 29 Apr 2024
Abstract
Monitoring the temperature of the coal gangue mountains is fundamental to preventing their spontaneous combustion. However, the existing temperature monitoring systems fail to achieve stable, pollution-free temperature monitoring without affecting vegetation growth in these mountains. To address this issue, this work proposes a [...] Read more.
Monitoring the temperature of the coal gangue mountains is fundamental to preventing their spontaneous combustion. However, the existing temperature monitoring systems fail to achieve stable, pollution-free temperature monitoring without affecting vegetation growth in these mountains. To address this issue, this work proposes a flexible thermoelectric device (FTD) based on a protrusion-structured liquid metal elastomer (LME). Utilizing a high-thermal-conductivity LME, the FTD adheres closely to the surface of the gravity heat pipe (GHP), ensuring compatibility between FTD and the curved surface of the GHP. Simultaneously, employing a low-thermal-conductivity elastomer helps concentrate heat onto FTD, thereby enhancing thermoelectric power generation efficiency. Additionally, the impact of the shape, size, and height of the protrusion structure at the cold end of the GHP on its efficiency was also investigated. The practical application of FTD on GHP was demonstrated. Full article
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23 pages, 1350 KiB  
Article
A Novel Traffic Classification Approach by Employing Deep Learning on Software-Defined Networking
by Daniel Nuñez-Agurto, Walter Fuertes, Luis Marrone, Eduardo Benavides-Astudillo, Christian Coronel-Guerrero and Franklin Perez
Future Internet 2024, 16(5), 153; https://doi.org/10.3390/fi16050153 (registering DOI) - 29 Apr 2024
Abstract
The ever-increasing diversity of Internet applications and the rapid evolution of network infrastructure due to emerging technologies have made network management more challenging. Effective traffic classification is critical for efficiently managing network resources and aligning with service quality and security demands. The centralized [...] Read more.
The ever-increasing diversity of Internet applications and the rapid evolution of network infrastructure due to emerging technologies have made network management more challenging. Effective traffic classification is critical for efficiently managing network resources and aligning with service quality and security demands. The centralized controller of software-defined networking provides a comprehensive network view, simplifying traffic analysis and offering direct programmability features. When combined with deep learning techniques, these characteristics enable the incorporation of intelligence into networks, leading to optimization and improved network management and maintenance. Therefore, this research aims to develop a model for traffic classification by application types and network attacks using deep learning techniques to enhance the quality of service and security in software-defined networking. The SEMMA method is employed to deploy the model, and the classifiers are trained with four algorithms, namely LSTM, BiLSTM, GRU, and BiGRU, using selected features from two public datasets. These results underscore the remarkable effectiveness of the GRU model in traffic classification. Hence, the outcomes achieved in this research surpass state-of-the-art methods and showcase the effectiveness of a deep learning model within a traffic classification in an SDN environment. Full article
(This article belongs to the Section Smart System Infrastructure and Applications)
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18 pages, 1348 KiB  
Review
Wearable Sensors and the Evaluation of Physiological Performance in Elite Field Hockey Players
by Francesca Latino and Francesco Tafuri
Sports 2024, 12(5), 124; https://doi.org/10.3390/sports12050124 (registering DOI) - 29 Apr 2024
Abstract
Sports performance tracking has gained a lot of interest and widespread use in recent years, especially in elite and sub-elite sports. This makes it possible to improve the effectiveness of training, to calibrate and balance workloads according to real energy expenditure, and to [...] Read more.
Sports performance tracking has gained a lot of interest and widespread use in recent years, especially in elite and sub-elite sports. This makes it possible to improve the effectiveness of training, to calibrate and balance workloads according to real energy expenditure, and to reduce the likelihood of injuries due to excessive physical stress. In this context, the aim of this review was to map the scientific literature on wearable devices used in field hockey, evaluating their characteristics and the available evidence on their validity in measuring physiological and movement parameters. A systematic investigation was carried out by employing five electronic databases and search terms that incorporated field hockey, wearables, and performance analysis. Two independent reviewers conducted assessments of the 3401 titles and abstracts for inclusion, and at the end of the screening process, 102 full texts were analyzed. Lastly, a total of 23 research articles that specifically concentrated on field hockey were incorporated. The selected papers dealt with performance monitoring (6 papers), technical analysis and strategy game (6), injury prevention (1), and physiological measurements (10). To appraise the quality of the evaluations, the Oxford quality scoring system scale was employed. The extraction of information was carried out through the utilization of the participants, intervention, comparison, and outcomes (PICOS) format. The analysis encompassed research studies that implemented wearable devices during training and competitive events. Among elite field hockey competitions, GPS units were identified as the predominant wearable, followed by heart rate monitors. The intraclass correlation coefficient (ICC) related to wearable devices showed reasonably high between-trial ICCs ranging from 0.77 to 0.99. The utilization of wearable devices in field hockey primarily centers around the measurement of player activity profiles and physiological demands. The presence of discrepancies in sampling rates and performance bands makes it arduous to draw comparisons between studies. Nevertheless, this analysis attested to the fact that wearable devices are being employed for diverse applications in the realm of field hockey. Full article
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15 pages, 1101 KiB  
Article
Comparison of Physicochemical Characteristics and Microbial Quality between Commercially Available Organic and Conventional Japanese Soy Sauces
by Iwona Gientka, Alicja Synowiec, Marek Roszko, Cac Ngo Khoa Nguyen, Katarzyna Pobiega and Anna M. Kot
Appl. Sci. 2024, 14(9), 3784; https://doi.org/10.3390/app14093784 (registering DOI) - 29 Apr 2024
Abstract
The article aims to compare the properties and quality of two types of organic Japanese soy sauce from the market, declared by manufacturers as koikuchi, and tamari, both conventional and organic, along with an attempt to determine the differentiating factors using modern statistical [...] Read more.
The article aims to compare the properties and quality of two types of organic Japanese soy sauce from the market, declared by manufacturers as koikuchi, and tamari, both conventional and organic, along with an attempt to determine the differentiating factors using modern statistical methods. The amino acid profile showed the highest proportions were glutamic acid and aspartic acid. Tamari sauces could be distinguished from koikuchi by an elevated content of glutamic acid and alanine, while conventional and organic products differed the most in the shares of arginine, aspartic acid, and serine. The total polyphenol content was higher in conventional soy sauces and better antioxidant properties were found in koikuchi. Organic tamari sauces were characterized by higher antioxidant capacities and total flavonoid content. The volatile profile showed a significant difference between organic and conventional sauces. The research did not confirm that the quality of sauces declared as organic was significantly enhanced, and the overall quality of all tested sauces was high, both in terms of microbiological safety and physicochemical parameters. Full article
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14 pages, 9599 KiB  
Article
Predicting Bulk Density for Agglomerated Raspberry Ketone via Integrating Morphological and Size Metrics Using Artificial Neural Networks
by Xiaomeng Zhou, Shutian Xuanyuan, Yang Ye, Ying Sun, Haowen Du, Luguang Qi, Chang Li and Chuang Xie
Processes 2024, 12(5), 902; https://doi.org/10.3390/pr12050902 (registering DOI) - 29 Apr 2024
Abstract
The bulk density of the particles, which is directly related to transportation and storage costs, is an important basic characteristic of products as well as an important parameter in many processing systems. This work quantified the relationship between the tapped bulk density of [...] Read more.
The bulk density of the particles, which is directly related to transportation and storage costs, is an important basic characteristic of products as well as an important parameter in many processing systems. This work quantified the relationship between the tapped bulk density of raspberry ketone with different degrees of agglomeration and morphological metrics (particle shape descriptors and roughness descriptors) and size metrics (size descriptors) and developed an artificial neural network (ANN) prediction model for the tapped bulk density of raspberry ketone. Samples prepared under different conditions were sieved and remixed, the tapped bulk density of the particles was then measured, and the descriptor features of the particles were obtained by combining them with image processing. The dimensions of the variables were decreased by principal component analysis and variance processing. To overcome the hyperparameter estimation of the heuristic-based artificial neural networks, the network model architectures were optimized by a neural architecture search strategy combining two-objective optimization. The results demonstrated that the tapped bulk density of raspberry ketone products is not only related to the descriptors of particle size and shape but also has a non-negligible relationship with particle roughness descriptors. The performance of the optimal ANN model demonstrated that the model can well predict the tapped bulk density of raspberry ketone with different degrees of agglomeration. The ANN model obtained by extracting morphology and size metrics through online image analysis can be used to measure the tapped bulk density in real-time and has the potential to be used for developing model-based online process monitoring. Full article
(This article belongs to the Special Issue State-of-the-Art Research and Development in Particle Technology)
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16 pages, 969 KiB  
Article
Chromatographic and Thermal Characteristics, and Hydrolytic and Oxidative Stability of Commercial Pomegranate Seed Oil
by Marta Siol, Agnieszka Dudek, Joanna Bryś, Diana Mańko-Jurkowska, Eliza Gruczyńska-Sękowska, Sina Makouie, Bharani Kumar Palani, Marko Obranović and Piotr Koczoń
Foods 2024, 13(9), 1370; https://doi.org/10.3390/foods13091370 (registering DOI) - 29 Apr 2024
Abstract
The current investigations were aimed at the determination of the hydrolytic and oxidative stability of commercial pomegranate seed oils provided by four different producers, and to assess the oils’ primary quality parameters. During storage, many changes occur in oils that can significantly affect [...] Read more.
The current investigations were aimed at the determination of the hydrolytic and oxidative stability of commercial pomegranate seed oils provided by four different producers, and to assess the oils’ primary quality parameters. During storage, many changes occur in oils that can significantly affect their quality. The oils were tested for acid and peroxide values, fatty acid profile, and their distribution between the sn-1,3 and sn-2 positions of triacylglycerols. The oxidative stability was also determined, and melting curves were plotted for the oils. The analyzed oils were stored for one month in a dark place at refrigerator temperature. Based on the obtained results, it was found that the acid values for most oils did not exceed the permissible level determined by the Codex Alimentarius. However, in all oils, the peroxide value exceeded the permissible level set by the standard EN ISO 3960:2017-03 and the Codex Alimentarius after the one-month storage period. The examined pomegranate seed oils were found to be valuable sources of polyunsaturated fatty acids, especially punicic acid, which was the most abundant fatty acid present in these oils. In all analyzed oils, linoleic acid predominated in the sn-2 position of the triacylglycerols. Pomegranate seed oils did not exhibit good oxidative stability, as the oxidation induction times for all tested oils were very short. The storage period significantly affected the content of the primary oxidation products and oxidative stability of the oils. Full article
(This article belongs to the Special Issue Food Lipids — Chemistry, Nutrition and Biotechnology)
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14 pages, 439 KiB  
Article
Ship Network Traffic Engineering Based on Reinforcement Learning
by Xinduoji Yang, Minghui Liu, Xinxin Wang, Bingyu Hu, Meng Liu and Xiaomin Wang
Electronics 2024, 13(9), 1710; https://doi.org/10.3390/electronics13091710 (registering DOI) - 29 Apr 2024
Abstract
This research addresses multiple challenges faced by ship networks, including limited bandwidth, unstable network connections, high latency, and command priority. To solve these problems, we used reinforcement learning-based methods to simulate traffic engineering in ship networks. We focused on three aspects—traffic balance, instruction [...] Read more.
This research addresses multiple challenges faced by ship networks, including limited bandwidth, unstable network connections, high latency, and command priority. To solve these problems, we used reinforcement learning-based methods to simulate traffic engineering in ship networks. We focused on three aspects—traffic balance, instruction priority, and complex network structure—to evaluate reinforcement learning performance in these scenarios. Performance: We developed a reinforcement learning framework for ship network traffic engineering that treats the routing policy as the state and the network state as the environment. The agent generates routing changes and uses actions to optimize traffic services. The experimental results show that reinforcement learning optimizes network traffic balance, reasonably arranges instruction priorities, and copes with complex network structures, greatly improving the network’s quality of service (QoS). Through an in-depth analysis of the experimental data, we noticed that network consumption was reduced by 9.1% under reinforcement learning. Reinforcement learning effectively implemented priority routing of high-priority instructions while reducing the occupancy rate of the edge with the highest occupancy rate in the network by 18.53%. Full article
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13 pages, 1469 KiB  
Article
Homobrassinolide Delays Huanglongbing Progression in Newly Planted Citrus (Citrus sinensis) Trees
by Meritxell Pérez-Hedo, Alberto Urbaneja and Fernando Alférez
Plants 2024, 13(9), 1229; https://doi.org/10.3390/plants13091229 (registering DOI) - 29 Apr 2024
Abstract
Huanglongbing (HLB), or citrus greening, is a devastating disease impacting citrus trees worldwide, with severe effects particularly noted in Florida. Current strategies to combat HLB focus on aggressive replanting, despite the high susceptibility of young trees to infection. In this context, it is [...] Read more.
Huanglongbing (HLB), or citrus greening, is a devastating disease impacting citrus trees worldwide, with severe effects particularly noted in Florida. Current strategies to combat HLB focus on aggressive replanting, despite the high susceptibility of young trees to infection. In this context, it is critical to explore agronomic practices that can enhance the health and resistance of young citrus trees to HLB. Here, we demonstrate that treatment with homobrassinolide (HBr), a type of brassinosteroid, in newly planted citrus (Citrus sinensis) trees can delay HLB infection and improve tree health amidst the high psyllid pressure conditions endemic to Florida. Our study reveals a significant reduction in HLB infection rates in HBr-treated trees compared to control trees, with only 25% of treated trees testing positive for HLB by six months, in contrast to 100% infection in untreated trees. This delay in infection may be attributed to HBr inducing an immune response and negatively impacting psyllid performance, as subsequently demonstrated in a greenhouse experiment. Our findings suggest that HBr applications could serve as a viable strategy to enhance the resilience of citrus production against HLB, underscoring the need for further investigation into their mechanisms of action and potential role in a comprehensive pest and disease management strategy. Full article
(This article belongs to the Special Issue Application of Agrochemical Technologies in Crop Protection)
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29 pages, 3947 KiB  
Review
Exploring Immune Redox Modulation in Bacterial Infections: Insights into Thioredoxin-Mediated Interactions and Implications for Understanding Host–Pathogen Dynamics
by Omer M. A. Dagah, Billton Bryson Silaa, Minghui Zhu, Qiu Pan, Linlin Qi, Xinyu Liu, Yuqi Liu, Wenjing Peng, Zakir Ullah, Appolonia F. Yudas, Amir Muhammad, Xianquan Zhang and Jun Lu
Antioxidants 2024, 13(5), 545; https://doi.org/10.3390/antiox13050545 (registering DOI) - 29 Apr 2024
Abstract
Bacterial infections trigger a multifaceted interplay between inflammatory mediators and redox regulation. Recently, accumulating evidence has shown that redox signaling plays a significant role in immune initiation and subsequent immune cell functions. This review addresses the crucial role of the thioredoxin (Trx) system [...] Read more.
Bacterial infections trigger a multifaceted interplay between inflammatory mediators and redox regulation. Recently, accumulating evidence has shown that redox signaling plays a significant role in immune initiation and subsequent immune cell functions. This review addresses the crucial role of the thioredoxin (Trx) system in the initiation of immune reactions and regulation of inflammatory responses during bacterial infections. Downstream signaling pathways in various immune cells involve thiol-dependent redox regulation, highlighting the pivotal roles of thiol redox systems in defense mechanisms. Conversely, the survival and virulence of pathogenic bacteria are enhanced by their ability to counteract oxidative stress and immune attacks. This is achieved through the reduction of oxidized proteins and the modulation of redox-sensitive signaling pathways, which are functions of the Trx system, thereby fortifying bacterial resistance. Moreover, some selenium/sulfur-containing compounds could potentially be developed into targeted therapeutic interventions for pathogenic bacteria. Taken together, the Trx system is a key player in redox regulation during bacterial infection, and contributes to host–pathogen interactions, offering valuable insights for future research and therapeutic development. Full article
(This article belongs to the Section Antioxidant Enzyme Systems)
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10 pages, 247 KiB  
Article
Patient Knowledge, Medication Adherence, and Influencing Factors: A Cross-Sectional Study among Hypertensive Patients in Greece
by Konstantinos Giakoumidakis, Evridiki Patelarou, Hero Brokalaki, Maria Bastaki, Nikolaos V. Fotos, Parthena Ifantopoulou, Antonios Christodoulakis, Anastasia A. Chatziefstratiou and Athina Patelarou
Healthcare 2024, 12(9), 916; https://doi.org/10.3390/healthcare12090916 (registering DOI) - 29 Apr 2024
Abstract
This study aimed to investigate the knowledge of patients with hypertension about their condition, adherence to antihypertensive medication, and the factors influencing it. A cross-sectional study was conducted in two cardiology outpatient clinics of two tertiary hospitals, in Greece. The study included 188 [...] Read more.
This study aimed to investigate the knowledge of patients with hypertension about their condition, adherence to antihypertensive medication, and the factors influencing it. A cross-sectional study was conducted in two cardiology outpatient clinics of two tertiary hospitals, in Greece. The study included 188 patients diagnosed with hypertension. The patients’ knowledge about their disease and adherence to medication were assessed by using the HK-LS and A-14 scales, respectively. Patients had sufficient knowledge levels about their disease, but significantly low levels of adherence to medication. Patients with higher knowledge levels were more adherent to medications [r(188) = 0.885, p < 0.001]. By using multivariate analysis, higher age (p = 0.018), residence in a more populous area (p = 0.041), more years with the disease (p = 0.012), and a lower number of medications (p = 0.03) were associated with higher levels of knowledge. Conversely, younger age (p = 0.036), lower educational levels (p = 0.048), fewer years with the disease (p = 0.001), and a higher number of medications (p = 0.003) were associated with lower adherence to medication. The Greek patients’ hypertension knowledge was sufficient; however, adherence to medication was significantly low. Healthcare managers could utilize our findings to design targeted interventions for improving adherence to medication for these patients. Full article
10 pages, 714 KiB  
Perspective
Music Therapy in the Neonatal Intensive Care Unit: A Center’s Experience with Program Development, Implementation, and Preliminary Outcomes
by Carmina Erdei, Kim Schlesinger, Meredith R. Pizzi and Terrie E. Inder
Children 2024, 11(5), 533; https://doi.org/10.3390/children11050533 (registering DOI) - 29 Apr 2024
Abstract
Background: The role of music in the NICU continues to evolve, with recent studies documenting the positive impact of music therapy for hospitalized infants and families. With many potential benefits and no substantial adverse effects reported to date in medically stable infants, we [...] Read more.
Background: The role of music in the NICU continues to evolve, with recent studies documenting the positive impact of music therapy for hospitalized infants and families. With many potential benefits and no substantial adverse effects reported to date in medically stable infants, we aimed to create a clinical guideline to integrate this therapy into the NICU operations. Methods: we launched and implemented a pilot music therapy clinical program within a subunit of a level-III NICU, building upon available evidence. Results: In this report, we describe our experience with initial program development and early outcomes in terms of population served, frequency of music therapy, and therapeutic modalities employed to implement service delivery. Conclusion: we highlight the importance of establishing practices that are aligned with currently available data and recommendations, in order to facilitate delivery of a safe, evidence-based, meaningful therapeutic experience with monitoring of preliminary effects of the therapy on all those involved in the experience. Full article
(This article belongs to the Special Issue Advances in NICU Health Care)
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21 pages, 3175 KiB  
Article
Inhibitory Effects of Fermented Sprouted Oat Extracts on Oxidative Stress and Melanin Overproduction
by Hyeijin Cho, Jisun Yang, Ji Young Kang and Kyung Eun Kim
Antioxidants 2024, 13(5), 544; https://doi.org/10.3390/antiox13050544 (registering DOI) - 29 Apr 2024
Abstract
Hyperpigmentation occurs due to irregular secretion of melanin pigment in the skin. This can affect quality of life depending on its severity, so prevention and management are essential. Oats (Avena sativa L.), a grain consumed worldwide, are known to offer improved health [...] Read more.
Hyperpigmentation occurs due to irregular secretion of melanin pigment in the skin. This can affect quality of life depending on its severity, so prevention and management are essential. Oats (Avena sativa L.), a grain consumed worldwide, are known to offer improved health benefits upon germination and fermentation. This study is aimed to investigate the protective effects of lactobacilli-fermented sprouted oat extracts on oxidative stress and melanin overproduction in vitro. The anti-melanogenic effect was investigated using melanin content and tyrosinase activity assays in B16F10 cells, as well as a mushroom tyrosinase-based enzyme inhibition assay. The results showed that L. casei-fermented oat extracts were the most effective for reducing melanin formation by reducing the mRNA expression of microphthalmia-associated transcription factor, tyrosinase, and tyrosinase-related protein 2 mRNA expression. Furthermore, L. casei fermentation was effective in improving the total phenolic, flavonoid, and avenanthramide A contents of sprouted oat extracts. The results also demonstrated the antioxidant effects of L. casei-fermented sprouted oat extracts in promoting DPPH radical-scavenging activity, superoxide dismutase-like activity, and reduction in reactive oxygen species levels. Overall, the findings indicate that fermented sprouted oat extracts are promising candidates for antioxidant and anti-hyperpigmentation treatments. Full article
(This article belongs to the Special Issue Dietary Antioxidants and Cosmetics—2nd Edition)
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2 pages, 128 KiB  
Book Review
Book Review: Bourgon, L. Tree Thieves: Crime and Survival in North America’s Woods; Little Brown Spark: New York, NY, USA, 2022; ISBN: 978-0316497442
by Jerry A. Griffith
Land 2024, 13(5), 590; https://doi.org/10.3390/land13050590 (registering DOI) - 29 Apr 2024
Abstract
When considering individuals who illegally harvest trees from public lands, author Lyndsie Bourgon “wonder(s) how someone who lives surrounded by the crushing beauty of a redwood forest can simultaneously love it and kill it [...] Full article
22 pages, 9591 KiB  
Article
Investigation of the Effect of Pumping Depth and Frequency of Flapping Hydrofoil on Suspended Matter Discharge Characteristics
by Ertian Hua, Mingwang Xiang, Tao Wang, Yabo Song, Caiju Lu and Qizong Sun
Machines 2024, 12(5), 300; https://doi.org/10.3390/machines12050300 (registering DOI) - 29 Apr 2024
Abstract
In order to study the effect of the pumping depth and pumping frequency of the flapping hydrofoil device on suspended solids in the waters, this paper takes raceway aquaculture as an example, and introduces a flapping hydrofoil device to improve the discharge of [...] Read more.
In order to study the effect of the pumping depth and pumping frequency of the flapping hydrofoil device on suspended solids in the waters, this paper takes raceway aquaculture as an example, and introduces a flapping hydrofoil device to improve the discharge of suspended solids in the raceway, in response to the problem of the deposition of suspended solids from fish faeces and bait residues in water. The CFD method was used to compare and analyze the discharge of suspended solids at different pumping depths, and the combined effect of the two was studied according to different combinations of pumping frequency and pumping depth. The results proved that the flapping hydrofoil motion can improve the bottom hydrodynamic insufficiency in ecological waters and thus enhance the discharge effect of suspended particles in water. In addition, the pumping depth of the flapping hydrofoil is too deep for the movement to be disturbed by the bottom surface, while the thrust generated by the flapping hydrofoil is weakened if the depth is too shallow. When the pump water depth is 1.1 H, the reversed Kármán vortex street is more stable under the balancing effect of the bottom surface and gravity, and the rate curve of the flapping hydrofoil acting on the discharge of suspended particles is better. From our comprehensive consideration of the joint effect of the pumping depth and pumping frequency, we recommend the use of a 1.1 H of pumping depth and 2.0 Hz pumping frequency in combination to achieve the best effect of discharging suspended particles. This study provides valuable insights into the actual engineering applications of flapping hydrofoil devices for improving water quality and ecological sustainability in raceway aquaculture. Full article
(This article belongs to the Special Issue Agricultural Machinery and Robotics: Design, Control and Applications)
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5 pages, 201 KiB  
Editorial
Metal Complexes with N-donor Ligands
by László Kótai
Inorganics 2024, 12(5), 130; https://doi.org/10.3390/inorganics12050130 (registering DOI) - 29 Apr 2024
Abstract
Complexes of transition and non-transition metals with a wide variety of N-donor ligands (like ammonia, amines, urea derivatives, Schiff bases, or N-heterocycles) comprise a highly important class of compounds in chemistry, biochemistry, material science, and the chemical industry [...] Full article
(This article belongs to the Special Issue Metal Complexes with N-donor Ligands)
15 pages, 3379 KiB  
Article
Transcriptional Analysis Revealing the Improvement of ε-Poly-L-lysine Production from Intracellular ROS Elevation after Botrytis cinerea Induction
by Chen Zhang, Zhanyang Zhang, Ya Cheng, Ni Ni, Siyu Tong, Wangbao Da, Chunyan Liu, Qiran Diao, Ziyan Chen, Bingyue Xin, Huawei Zeng, Xin Zeng and Dayong Xu
J. Fungi 2024, 10(5), 324; https://doi.org/10.3390/jof10050324 (registering DOI) - 29 Apr 2024
Abstract
Gray mold, caused by Botrytis cinerea, poses significant threats to various crops, while it can be remarkably inhibited by ε-poly-L-lysine (ε-PL). A previous study found that B. cinerea extracts could stimulate the ε-PL biosynthesis of Streptomyces albulus, while it is unclear [...] Read more.
Gray mold, caused by Botrytis cinerea, poses significant threats to various crops, while it can be remarkably inhibited by ε-poly-L-lysine (ε-PL). A previous study found that B. cinerea extracts could stimulate the ε-PL biosynthesis of Streptomyces albulus, while it is unclear whether the impact of the B. cinerea signal on ε-PL biosynthesis is direct or indirect. This study evaluated the role of elevated reactive oxygen species (ROS) in efficient ε-PL biosynthesis after B. cinerea induction, and its underlying mechanism was disclosed with a transcriptome analysis. The microbial call from B. cinerea could arouse ROS elevation in cells, which fall in a proper level that positively influenced the ε-PL biosynthesis. A systematic transcriptional analysis revealed that this proper dose of intracellular ROS could induce a global transcriptional promotion on key pathways in ε-PL biosynthesis, including the embden-meyerhof-parnas pathway, the pentose phosphate pathway, the tricarboxylic acid cycle, the diaminopimelic acid pathway, ε-PL accumulation, cell respiration, and energy synthesis, in which sigma factor HrdD and the transcriptional regulators of TcrA, TetR, FurA, and MerR might be involved. In addition, the intracellular ROS elevation also resulted in a global modification of secondary metabolite biosynthesis, highlighting the secondary signaling role of intracellular ROS in ε-PL production. This work disclosed the transcriptional mechanism of efficient ε-PL production that resulted from an intracellular ROS elevation after B. cinerea elicitors’ induction, which was of great significance in industrial ε-PL production as well as the biocontrol of gray mold disease. Full article
(This article belongs to the Special Issue Biocontrol of Grapevine Diseases, 2nd Edition)
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