The 2023 MDPI Annual Report has
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17 pages, 703 KiB  
Article
Can Nitrogen Fertilization and Intercropping Modify the Quality and Nutrient Yield of Barley–Field Bean Forage?
by Francesco Giovanni Salvo Angeletti, Silvia Pampana, Iduna Arduini, Sergio Saia and Marco Mariotti
Agronomy 2024, 14(6), 1166; https://doi.org/10.3390/agronomy14061166 (registering DOI) - 29 May 2024
Abstract
Barley (Hordeum vulgare L.) and field bean (Vicia faba L. var minor) are often used for forage production in the Mediterranean environment. Their bromatological and productive characteristics are known when cultivated as sole crops, but if grown simultaneously in intercropping, [...] Read more.
Barley (Hordeum vulgare L.) and field bean (Vicia faba L. var minor) are often used for forage production in the Mediterranean environment. Their bromatological and productive characteristics are known when cultivated as sole crops, but if grown simultaneously in intercropping, the changes in their morphological and physiological characteristics could affect the quality and the nutrient yield of the resulting forages. In a two-year field research in Central Italy, we determined the bromatological traits and nutrient yields of barley and field bean, grown as sole crops or intercrops in a 1:1 additive design harvested at the heading and early dough stage with five nitrogen (N) rates (i.e., from 0 to 200 kg ha−1). Both intercropping and N fertilization increased the concentration of crude protein and fiber but decreased the general quality of the forage. However, the effects on nutrient yields were more marked; those of crude protein and total digestible nutrients increased by 46 and 29% with intercropping and by 49 and 46% with 150 kg N ha−1. Thus, we concluded that N fertilization should not exceed 50 kg ha−1 to maximize the relative feed value, while 150 kg ha−1 are suitable to boost nutrient yields. Full article
(This article belongs to the Section Innovative Cropping Systems)
23 pages, 2788 KiB  
Article
Design and Control Strategy of an Integrated Floating Photovoltaic Energy Storage System
by Bowen Zhou, Diliyaer Hudabaierdi, Jian Qiao, Guangdi Li and Zhaoxia Xiao
J. Mar. Sci. Eng. 2024, 12(6), 912; https://doi.org/10.3390/jmse12060912 (registering DOI) - 29 May 2024
Abstract
Floating photovoltaic (FPV) power generation technology has gained widespread attention due to its advantages, which include the lack of the need to occupy land resources, low risk of power limitations, high power generation efficiency, reduced water evaporation, and the conservation of water resources. [...] Read more.
Floating photovoltaic (FPV) power generation technology has gained widespread attention due to its advantages, which include the lack of the need to occupy land resources, low risk of power limitations, high power generation efficiency, reduced water evaporation, and the conservation of water resources. However, FPV systems also face challenges, such as a significant impact from aquatic environments on the system’s stability and safety and high operational and maintenance costs, leading to large fluctuations in the grid-connected power output. Therefore, it is necessary to integrate energy storage devices with FPV systems to form an integrated floating photovoltaic energy storage system that facilitates the secure supply of power. This study investigates the theoretical and practical issues of integrated floating photovoltaic energy storage systems. A novel integrated floating photovoltaic energy storage system was designed with a photovoltaic power generation capacity of 14 kW and an energy storage capacity of 18.8 kW/100 kWh. The control methods for photovoltaic cells and energy storage batteries were analyzed. The coordinated control of photovoltaic cells was achieved through MPPT control and improved droop control, while the coordinated control of energy storage batteries involved a droop charge–discharge mode, a constant-voltage charging mode, and a standby mode. The simulations were realized in MATLAB/Simulink and the results validated the effectiveness of the coordinated control strategy proposed in this study. The strategy achieved operational stability and efficiency of the integrated photovoltaic energy storage system. Full article
(This article belongs to the Section Marine Energy)
23 pages, 1341 KiB  
Review
Antifungal Plant Defensins as an Alternative Tool to Combat Candidiasis
by Ekaterina I. Finkina, Olga V. Shevchenko, Serafima I. Fateeva, Andrey A. Tagaev and Tatiana V. Ovchinnikova
Plants 2024, 13(11), 1499; https://doi.org/10.3390/plants13111499 (registering DOI) - 29 May 2024
Abstract
Currently, the spread of fungal infections is becoming an urgent problem. Fungi of the Candida genus are opportunistic microorganisms that cause superficial and life-threatening systemic candidiasis in immunocompromised patients. The list of antifungal drugs for the treatment of candidiasis is very limited, while [...] Read more.
Currently, the spread of fungal infections is becoming an urgent problem. Fungi of the Candida genus are opportunistic microorganisms that cause superficial and life-threatening systemic candidiasis in immunocompromised patients. The list of antifungal drugs for the treatment of candidiasis is very limited, while the prevalence of resistant strains is growing rapidly. Therefore, the search for new antimycotics, including those exhibiting immunomodulatory properties, is of great importance. Plenty of natural compounds with antifungal activities may be extremely useful in solving this problem. This review evaluates the features of natural antimicrobial peptides, namely plant defensins as possible prototypes of new anticandidal agents. Plant defensins are important components of the innate immune system, which provides the first line of defense against pathogens. The introduction presents a brief summary regarding pathogenic Candida species, the pathogenesis of candidiasis, and the mechanisms of antimycotic resistance. Then, the structural features of plant defensins, their anticandidal activities, their mechanisms of action on yeast-like fungi, their ability to prevent adhesion and biofilm formation, and their combined action with conventional antimycotics are described. The possible mechanisms of fungal resistance to plant defensins, their cytotoxic activity, and their effectiveness in in vivo experiments are also discussed. In addition, for the first time for plant defensins, knowledge about their immunomodulatory effects is also presented. Full article
(This article belongs to the Special Issue Chemical Characteristics and Bioactivity of Plant Natural Products)
17 pages, 3123 KiB  
Article
Genome Sequence Comparisons between Small and Large Colony Phenotypes of Equine Clinical Isolates of Arcanobacterium hippocoleae
by Lisanework E. Ayalew, Zelalem H. Mekuria, Beatrice Despres, Matthew E. Saab and Shivani Ojha
Animals 2024, 14(11), 1609; https://doi.org/10.3390/ani14111609 (registering DOI) - 29 May 2024
Abstract
Arcanobacterium hippocoleae is a Gram-positive fastidious bacterium and is occasionally isolated from the reproductive tract of apparently healthy mares (Equus caballus) or from mares with reproductive tract abnormalities. Apart from a few 16S rRNA gene-based GenBank sequences and one recent report [...] Read more.
Arcanobacterium hippocoleae is a Gram-positive fastidious bacterium and is occasionally isolated from the reproductive tract of apparently healthy mares (Equus caballus) or from mares with reproductive tract abnormalities. Apart from a few 16S rRNA gene-based GenBank sequences and one recent report on complete genome assembly, detailed genomic sequence and clinical experimental data are not available on the bacterium. Recently, we observed an unusual increase in the detection of the organism from samples associated with mare reproductive failures in Atlantic Canada. Two colony morphotypes (i.e., small, and large) were detected in culture media, which were identified as A. hippocoleae by MALDI-TOF mass spectrometry and 16S rRNA gene sequencing. Here, we report the whole genome sequencing and characterization of the morphotype variants. The genome length of the large phenotypes was between 2.42 and 2.43, and the small phenotype was 1.99 Mbs. The orthologous nucleotide identity between the large colony phenotypes was ~99%, and the large and small colony phenotypes was between 77.86 and 78.52%, which may warrant the classification of the two morphotypes into different species. Phylogenetic analysis based on 16S rRNA genes or concatenated housekeeping genes grouped the small and large colony variants into two different genotypic clusters. The UvrA protein, which is part of the nucleotide excision repair (NER) system, and 3-isopropoylmalate dehydratase small subunit protein expressed by the leuD gene were identified as potential virulence factors in the large and small colony morphotypes, respectively. However, detailed functional studies will be required to determine the exact roles of these and other identified hypothetical proteins in the cellular metabolism and potential pathogenicity of A. hippocoleae in mares. Full article
(This article belongs to the Section Equids)
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17 pages, 4027 KiB  
Article
Research on the Quantitative Assessment Method of HVDC Transmission Line Failure Risk during Wildfire Disaster
by Bo Zhou, Xinwei Sun, Yunyang Xu and Wei Wei
Electronics 2024, 13(11), 2119; https://doi.org/10.3390/electronics13112119 (registering DOI) - 29 May 2024
Abstract
It is increasingly important to effectively predict the failure of HVDC transmission lines caused by wildfire disasters. On the basis of comprehensively considering the distribution of fire points, the characteristics of wildfire propagation, and the failure factors of the transmission line, a method [...] Read more.
It is increasingly important to effectively predict the failure of HVDC transmission lines caused by wildfire disasters. On the basis of comprehensively considering the distribution of fire points, the characteristics of wildfire propagation, and the failure factors of the transmission line, a method for calculating the probability of failure in HVDC transmission lines during wildfire disasters is proposed to quantify the risk of HVDC transmission line failures caused by wildfire disasters. Using the ArcGIS 10.7. platform, the study examined the quantity of fire points within the buffer zone of each HVDC transmission line from 2001 to 2022. The results indicate significant variations in the number of fire incidents in the buffer zones of various transmission lines. Notably, there has been a noticeable increase in the number of fire incidents along several HVDC transmission lines, including Xizhe, Baihetan-Jiangsu, Baihetan-Zhejiang, and Fufeng, in recent years. Based on the number of fire points in the buffer zone obtained through ArcGIS processing and the proposed failure probability calculation model, six HVDC hydropower transmission channels in the Sichuan Province were analyzed. At the same time, the proposed probability calculation model was simplified, and a corresponding linear evaluation index was introduced. The regression analysis results indicate that the proposed index can effectively assess the failure risk of HVDC transmission lines during wildfire disasters. Full article
27 pages, 1562 KiB  
Article
Prediction Model of Nitrogen, Phosphorus, and Potassium Fertilizer Application Rate for Greenhouse Tomatoes under Different Soil Fertility Conditions
by Xiaoyu Yu, Yuzhu Luo, Bing Bai, Xin Chen, Caiyan Lu and Xiuyuan Peng
Agronomy 2024, 14(6), 1165; https://doi.org/10.3390/agronomy14061165 (registering DOI) - 29 May 2024
Abstract
To reach the target yield of crops, nutrient management is essential. Selecting the appropriate prediction model and adjusting the nutrient supply based on the actual situation can effectively improve the nutrient utilization efficiency, crop yield, and product quality. Therefore, a prediction model of [...] Read more.
To reach the target yield of crops, nutrient management is essential. Selecting the appropriate prediction model and adjusting the nutrient supply based on the actual situation can effectively improve the nutrient utilization efficiency, crop yield, and product quality. Therefore, a prediction model of the NPK fertilizer application rate for greenhouse tomatoes under the target yield was studied in this study. Under low, medium, and high soil fertility conditions, a neural network prediction model based on the sparrow search algorithm (SSA-NN), a neural network prediction model based on the improved sparrow search algorithm (ISSA-NN), and a neural network prediction model based on the hybrid algorithm (HA-NN) were used to predict the NPK fertilizer application rate for greenhouse tomatoes. The experimental results indicated that the evaluation indexes (i.e., the mean square error (MSE), explained variance score (EVS), and coefficient of determination (R2)) of the HA-NN prediction model proposed in this study were superior than the SSA-NN and ISSA-NN prediction models under three different soil fertility conditions. Under high soil fertility, compared with the SSA-NN prediction model, the MSE of the ISSA-NN and HA-NN prediction models decreased to 0.007 and 0.005, respectively; the EVS increased to 0.871 and 0.908, respectively; and the R2 increased to 0.862 and 0.899, respectively. This study showed that the HA–NN prediction model was superior in predicting the NPK fertilizer application rate for greenhouse tomatoes under three different soil fertility conditions. Due to the significance of NPK fertilizer application rate prediction for greenhouse tomatoes, this technique is expected to bring benefits to agricultural production management and decision support. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
28 pages, 3236 KiB  
Article
Pitavastatin Calcium Confers Fungicidal Properties to Fluconazole by Inhibiting Ubiquinone Biosynthesis and Generating Reactive Oxygen Species
by Wanqian Li, Yanru Feng, Zhe Feng, Li Wang, Malcolm Whiteway, Hui Lu and Yuanying Jiang
Antioxidants 2024, 13(6), 667; https://doi.org/10.3390/antiox13060667 (registering DOI) - 29 May 2024
Abstract
Fluconazole (FLC) is extensively employed for the prophylaxis and treatment of invasive fungal infections (IFIs). However, the fungistatic nature of FLC renders pathogenic fungi capable of developing tolerance towards it. Consequently, converting FLC into a fungicidal agent using adjuvants assumes significance to circumvent [...] Read more.
Fluconazole (FLC) is extensively employed for the prophylaxis and treatment of invasive fungal infections (IFIs). However, the fungistatic nature of FLC renders pathogenic fungi capable of developing tolerance towards it. Consequently, converting FLC into a fungicidal agent using adjuvants assumes significance to circumvent FLC resistance and the perpetuation of fungal infections. This drug repurposing study has successfully identified pitavastatin calcium (PIT) as a promising adjuvant for enhancing the fungicidal activity of FLC from a comprehensive library of 2372 FDA-approved drugs. PIT could render FLC fungicidal even at concentrations as low as 1 μM. The median lethal dose (LD50) of PIT was determined to be 103.6 mg/kg. We have discovered that PIT achieves its synergistic effect by inhibiting the activity of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, thereby impeding ubiquinone biosynthesis, inducing reactive oxygen species (ROS) generation, triggering apoptosis, and disrupting Golgi function. We employed a Candida albicans strain that demonstrated a notable tolerance to FLC to infect mice and found that PIT effectively augmented the antifungal efficacy of FLC against IFIs. This study is an illustrative example of how FDA-approved drugs can effectively eliminate fungal tolerance to FLC. Full article
(This article belongs to the Section ROS, RNS and RSS)
17 pages, 3339 KiB  
Article
New Insights into the Potential Inhibitory Effects of Native Plants from Cyprus on Pathogenic Bacteria and Diabetes-Related Enzymes
by Atalanti Christou, Constantina Stavrou, Christodoulos Michael, George Botsaris and Vlasios Goulas
Microbiol. Res. 2024, 15(2), 926-942; https://doi.org/10.3390/microbiolres15020061 (registering DOI) - 29 May 2024
Abstract
Plants possess endless structural and chemical diversity, which is peerless with any synthetic library of small biomolecules, inspiring novel drug discovery. Plants are widely applied to encounter global health challenges such as antimicrobial resistance and diabetes. The objective of this work was to [...] Read more.
Plants possess endless structural and chemical diversity, which is peerless with any synthetic library of small biomolecules, inspiring novel drug discovery. Plants are widely applied to encounter global health challenges such as antimicrobial resistance and diabetes. The objective of this work was to evaluate the antibacterial and antidiabetic potency of native plants grown in Cyprus. All plants were sequentially extracted with solvents of increasing polarity, namely hexane, acetone, methanol, and water. First, the phenolic and flavonoid contents of the extracts were assessed. Afterwards, the bacteriostatic and bactericidal potency of plant extracts were tested against a panel of six bacteria using the broth microdilution method, whereas the inhibitory effects on alpha-glucosidase and alpha-amylase enzymes were also determined with the employment of microplate assays. The results highlighted the superiority of Sarcopoterium spinosum as a potential enzyme inhibitor, while a knowledge base was also acquired for the inhibitory potential of all plants. Daucus carota, Ferula communis, and Tordylium.aegyptiacum displayed additionally outstanding bacteriostatic and bactericidal effects on Gram-positive bacteria at concentrations of 250 µg mL−1 and 500 µg mL−1. Overall, the present study describes the antibacterial and inhibitory activity against carbohydrate digestive enzymes of native plants grown in Cyprus delivering the first reports for many plant species. Full article
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13 pages, 236 KiB  
Review
Evaluation of Surveillance Strategies of Antimicrobial Consumption in Animals
by Carly Ching, Muhammad H. Zaman and Veronika J. Wirtz
Antibiotics 2024, 13(6), 505; https://doi.org/10.3390/antibiotics13060505 (registering DOI) - 29 May 2024
Abstract
The aim of this paper is to explore and assess various strategies for monitoring antimicrobial consumption (AMC) in animals, within the context of the One Health approach. Recent studies have shed light on the limited surveillance and data collection for AMC in animals. [...] Read more.
The aim of this paper is to explore and assess various strategies for monitoring antimicrobial consumption (AMC) in animals, within the context of the One Health approach. Recent studies have shed light on the limited surveillance and data collection for AMC in animals. Using the United States Center for Disease Control and Prevention Policy Analytical Framework, we assess global, national, and farm-level surveillance strategies on public health impact and feasibility using evidence from primary, secondary, and grey literature. From this, we identify key policy mechanisms that support the adoption of surveillance while providing specific recommendations. We find that a global strategy, though valuable for benchmarking and policy guidance, faces participation and data visibility challenges. National-level surveillance offers direct inputs into national action plans but struggles with data uniformity and comparability. Farm-level surveillance, while resource-intensive, provides the most granular data for informing specific interventions. We advocate for a multi-faceted approach to AMC surveillance, emphasizing that legal mandates and financial incentives are crucial for encouraging surveillance participation, along with international cooperation for enhancing participation and data quality. Drawing parallels with public reporting challenges in other sectors can provide valuable lessons on how to address data collection, analysis, and reporting barriers. Full article
(This article belongs to the Special Issue Antibiotics Use in Farms, 2nd Volume)
18 pages, 1893 KiB  
Article
Lycium barbarum (Wolfberry) Branches and Leaves Enhance the Growth Performance and Improve the Rumen Microbiota in Hu Sheep
by Pingping Duan, Halidai Rehemujiang, Lidong Zhang, Mulong Lu, Changchang Li, Lihong Hu, Youli Wang, Qiyu Diao and Guishan Xu
Animals 2024, 14(11), 1610; https://doi.org/10.3390/ani14111610 (registering DOI) - 29 May 2024
Abstract
The Lycium barbarum branches and leaves (LBL) are known to contain a range of active substances that have positive effects on animal immunity and antioxidation. This study aimed to examine how LBL impacts the growth and slaughter performance as well as rumen fermentation [...] Read more.
The Lycium barbarum branches and leaves (LBL) are known to contain a range of active substances that have positive effects on animal immunity and antioxidation. This study aimed to examine how LBL impacts the growth and slaughter performance as well as rumen fermentation and microbiota in Hu sheep. A total of 50 male Hu sheep of indigenous origin, aged 3 months, were randomly divided into 5 groups of 10 sheep each. The groups were given different levels of LBL supplementation (0%, 3%, 6%, 9%, and 12%) to evaluate growth performance and nutrient apparent digestibility. Rumen fluid samples were collected for analysis of the fermentation parameters and rumen chyme was examined to study the rumen microbiota. The slaughter performance, meat quality, and organ index were evaluated at the conclusion of the experiment. The results showed that the final body weight and average daily gain of the LBL1 group were significantly higher than those of the CON group, LBL3 group, and LBL4 group (p < 0.05). The average dry matter intake of the LBL4 group was significantly lower than that of other experimental groups (p < 0.05). The apparent digestibility of CP in the LBL1 and LBL2 groups was higher than that in other experimental groups (p < 0.05). At the same time, the eye muscle area and grade-rule (GR) value of Hu sheep in the LBL1 group significantly increased and the quality of Hu sheep meat improved (p < 0.05). There was no significant difference in organ weight and organ index between the experimental groups (p > 0.05). The pH of the rumen fluid in the LBL1 group was significantly lower than that in the CON group (p < 0.05). There was no significant difference in the NH3-N content between the experimental groups (p > 0.05). The propionate and valerate in the rumen fluid of Hu sheep in the LBL2 group were significantly higher than those in other experimental groups (p < 0.05). In addition, this had no significant effect on the structure and abundance of the rumen microbiota (p > 0.05). LBL is a promising functional feed. Adding an appropriate amount of LBL to the diet can improve the feed efficiency, growth performance, and meat quality of Hu sheep but has no adverse effects on the rumen. In this experiment, the appropriate supplemental level of LBL in the diet was 3%. Full article
11 pages, 6906 KiB  
Article
Effect of Nonmagnetic Hf Addition on Magnetic Properties of Melt-Spun Misch Metal-Fe-B Ribbons
by Mihaela Lostun, Marian Grigoraș, Luiza C. Budeanu, Tiberiu Roman, Gabriela Buema, Gabriel Ababei, George Stoian and Nicoleta Lupu
Crystals 2024, 14(6), 517; https://doi.org/10.3390/cryst14060517 (registering DOI) - 29 May 2024
Abstract
Misch Metal (MM)-Fe-B magnets are proposed to develop permanent magnets with a high performance/cost ratio and to balance the disproportionate use of rare earth (RE) resources. To improve the magnetic performance of (MM)-Fe-B ribbons precursors of magnets, the addition of non-magnetic hafnium (Hf) [...] Read more.
Misch Metal (MM)-Fe-B magnets are proposed to develop permanent magnets with a high performance/cost ratio and to balance the disproportionate use of rare earth (RE) resources. To improve the magnetic performance of (MM)-Fe-B ribbons precursors of magnets, the addition of non-magnetic hafnium (Hf) was used. MM14Fe80−xHfxB6 (x = 0–3 at. %) ribbons were fabricated by melt-spinning technique at a wheel velocity of 35 m/s and were then annealed to obtain a nanocrystalline structure. The ribbons’ magnetic properties, morphology, and structure were investigated methodically. It was found that the coercivity, Hc, of the MM14Fe80−xHfxB6 (x = 0–3 at. %) as-spun ribbons increased significantly from 5.85 kOe to 9.25 kOe with an increase in the Hf content from 0 to 2 at. %, while the remanence decreased slightly for the whole 0–3 range at. % Hf. The grain size of the RE2Fe14B phase gradually decreased as the Hf addition content increased from 0 to 3 at. %. As a result, the best combination of magnetic properties, such as Hc = 9.25 kOe, Mr = 87 emu/g, and maximum energy product (BH)max = 9.75 MGOe, was obtained in the ribbons with 2 at. % Hf addition was annealed at an optimal temperature of 650 degrees Celsius for 20 min. This work can serve as a useful reference for the further development of a new permanent magnet based on MM and Hf elements and can provide a feasible way for the efficient use of rare earth resources. Full article
(This article belongs to the Section Inorganic Crystalline Materials)
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20 pages, 1203 KiB  
Article
Real-Time Monitoring of Odour Emissions at the Fenceline of a Waste Treatment Plant by Instrumental Odour Monitoring Systems: Focus on Training Methods
by Christian Ratti, Carmen Bax, Beatrice Julia Lotesoriere and Laura Capelli
Sensors 2024, 24(11), 3506; https://doi.org/10.3390/s24113506 (registering DOI) - 29 May 2024
Abstract
Waste treatment plants (WTPs) often generate odours that may cause nuisance to citizens living nearby. In general, people are becoming more sensitive to environmental issues, and particularly to odour pollution. Instrumental Odour Monitoring Systems (IOMSs) represent an emerging tool for continuous odour measurement [...] Read more.
Waste treatment plants (WTPs) often generate odours that may cause nuisance to citizens living nearby. In general, people are becoming more sensitive to environmental issues, and particularly to odour pollution. Instrumental Odour Monitoring Systems (IOMSs) represent an emerging tool for continuous odour measurement and real-time identification of odour peaks, which can provide useful information about the process operation and indicate the occurrence of anomalous conditions likely to cause odour events in the surrounding territories. This paper describes the implementation of two IOMSs at the fenceline of a WTP, focusing on the definition of a specific experimental protocol and data processing procedure for dealing with the interferences of humidity and temperature affecting sensors’ responses. Different approaches for data processing were compared and the optimal one was selected based on field performance testing. The humidity compensation model developed proved to be effective, bringing the IOMS classification accuracy above 95%. Also, the adoption of a class-specific regression model compared to a global regression model resulted in an odour quantification capability comparable with those of the reference method (i.e., dynamic olfactometry). Lastly, the validated models were used to process the monitoring data over a period of about one year. Full article
(This article belongs to the Special Issue Eurosensors 2023 Selected Papers)
33 pages, 1634 KiB  
Article
Fostering Directions for Digital Technology Adoption in Sustainable and Circular Fashion: Toward the Circular Fashion-Tech Lab
by Daria Casciani and Erminia D’Itria
Systems 2024, 12(6), 190; https://doi.org/10.3390/systems12060190 (registering DOI) - 29 May 2024
Abstract
The fashion sector, recognized for its resource-intensive methods, is currently encountering pressing sustainability issues due to its substantial dependence on natural resources, extensive utilization of chemicals, and exploitation of labor within its supply chain, thus giving rise to notable environmental and ethical apprehensions. [...] Read more.
The fashion sector, recognized for its resource-intensive methods, is currently encountering pressing sustainability issues due to its substantial dependence on natural resources, extensive utilization of chemicals, and exploitation of labor within its supply chain, thus giving rise to notable environmental and ethical apprehensions. In the Industry 4.0 era, which emphasizes the integration of new production technologies to enhance working conditions, productivity, and production facility quality, the fashion sector has discovered opportunities to tackle sustainability challenges by adopting technology for transitioning to circular, greener, and digital systems with reduced environmental impact. Despite promising prospects, the opportunities provided by this paradigm are yet to be fully realized. In this context, design is crucial in enhancing digitally driven production processes for fashion companies within this framework. To explore this, the study suggests an iterative approach to recognizing challenges and opportunities, concentrating on the current alignment with technological advancements. A design-focused strategy aims to devise a comprehensive approach to fashion sustainability and circular economy (CE) principles within the Industry 4.0 framework. The aim is to establish an innovative laboratory model that aids fashion companies in effectively managing the sustainable and digital transition. The study offers insights into potential research opportunities to accelerate the Industry 4.0 transformation in the fashion sector. It envisages a more positive, sustainable, and responsible future by establishing a Circular Fashion-Tech Lab, integrating innovative technologies for sustainable and circular practices in the fashion industry. Full article
(This article belongs to the Special Issue Manufacturing and Service Systems for Industry 4.0/5.0)
32 pages, 3188 KiB  
Article
Selecting Building Façade Materials by Integrating Stepwise Weight Assessment Ratio Analysis and Weighted Aggregated Sum Product Assessment into Value Engineering
by Abdullah N. Naseer, Khalid S. Al-Gahtani, Ayman A. Altuwaim, Naif M. Alsanabani and Abdulmohsen S. Almohsen
Sustainability 2024, 16(11), 4611; https://doi.org/10.3390/su16114611 (registering DOI) - 29 May 2024
Abstract
Building façades represent one of the most critical elements affecting a city’s quality of life, and they impact the country’s economic income by attracting visitors. However, performance data on façades are limited or incomplete, making it challenging for designers to evaluate their effectiveness [...] Read more.
Building façades represent one of the most critical elements affecting a city’s quality of life, and they impact the country’s economic income by attracting visitors. However, performance data on façades are limited or incomplete, making it challenging for designers to evaluate their effectiveness in energy efficiency, thermal performance, durability, and other key performance metrics. This paper presents a comprehensive framework for evaluating and prioritizing material selection criteria in building cladding, establishing the relationship with available alternatives, and integrating decision-making processes with Building Information Modeling (BIM) to automate the Value Engineering (VE) concept. The material selection criteria from the literature and international standard manual were identified, and their criteria weight was then evaluated using SWARA (stepwise weight assessment ratio analysis). Additionally, WASPAS (weighted aggregated sum product assessment) was utilized to evaluate the alternative cladding materials based on the defined criteria and their associated quality weight (QW). The life cycle cost (LCC) of the alternatives was computed. The VE was computed and then ranked based on the QW and LCC of the alternatives. The procedure was connected to the BIM model to automate the assessment, specifying the necessary parameters and the BIM computation. A case study of an office building façade was conducted to validate the proposed framework. In this study, the significant criteria were durability, wind load resistance, and thermal insulation. This approach enables executives to evaluate cladding selection, ensuring efficient decision-making processes. The proposed method and its results were subjected to expert testing, and the satisfaction rate exceeded 80%, confirming the framework’s reliability in evaluating alternatives. This paper enhances the understanding of material selection methodologies and provides a valuable contribution to the field of construction management. Full article
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20 pages, 10545 KiB  
Article
Atractylodes macrocephala Koidz Alleviates Symptoms in Zymosan-Induced Irritable Bowel Syndrome Mouse Model through TRPV1, NaV1.5, and NaV1.7 Channel Modulation
by Na-Ri Choi, Woo-Gyun Choi, Jong-Hwan Lee, Joon Park, Yun-Tai Kim, Raju Das, Joo-Han Woo and Byung-Joo Kim
Nutrients 2024, 16(11), 1683; https://doi.org/10.3390/nu16111683 (registering DOI) - 29 May 2024
Abstract
(1) Background: Irritable bowel syndrome (IBS) is a common disease in the gastrointestinal (GI) tract. Atractylodes macrocephala Koidz (AMK) is known as one of the traditional medicines that shows a good efficacy in the GI tract. (2) Methods: We investigated the effect of [...] Read more.
(1) Background: Irritable bowel syndrome (IBS) is a common disease in the gastrointestinal (GI) tract. Atractylodes macrocephala Koidz (AMK) is known as one of the traditional medicines that shows a good efficacy in the GI tract. (2) Methods: We investigated the effect of AMK in a network pharmacology and zymosan-induced IBS animal model. In addition, we performed electrophysiological experiments to confirm the regulatory mechanisms related to IBS. (3) Results: Various characteristics of AMK were investigated using TCMSP data and various analysis systems. AMK restored the macroscopic changes and weight to normal. Colonic mucosa and inflammatory factors were reduced. These effects were similar to those of amitriptyline and sulfasalazine. In addition, transient receptor potential (TRP) V1, voltage-gated Na+ (NaV) 1.5, and NaV1.7 channels were inhibited. (4) Conclusion: These results suggest that AMK may be a promising therapeutic candidate for IBS management through the regulation of ion channels. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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33 pages, 1279 KiB  
Article
An Integrated Multi-Criteria Decision Support Model for Sustainable Ship Queuing Policy Application via Vessel Traffic Service (VTS)
by Önder Çağlayan and Murat Aymelek
Sustainability 2024, 16(11), 4615; https://doi.org/10.3390/su16114615 (registering DOI) - 29 May 2024
Abstract
The International Maritime Organization (IMO) persistently improves policies to mitigate greenhouse gas (GHG) emissions from maritime operations, emphasizing the significance of operational measures. Simultaneously, heightened recognition of collaborative efforts within the maritime sector has increased the applicability of arrival policies like Just-In-Time Arrival [...] Read more.
The International Maritime Organization (IMO) persistently improves policies to mitigate greenhouse gas (GHG) emissions from maritime operations, emphasizing the significance of operational measures. Simultaneously, heightened recognition of collaborative efforts within the maritime sector has increased the applicability of arrival policies like Just-In-Time Arrival (JITA), aimed at curtailing unnecessary anchorage time and emissions affecting adjacent communities in port vicinities. Nevertheless, ongoing initiatives advocate adopting JITA over the prevailing First Come, First Served (FCFS) policy, which is perceived as inefficient and, in the meantime, fair in the shipping industry. This research introduces an integrated decision support model to facilitate the implementation of a sustainable ship queuing policy by the VTS. The model addresses critical concerns, including the priorities of relevant authorities, the duration of nautical services for incoming vessels, and carbon dioxide (CO2) emissions attributable to anchorage waiting times. The decision support framework presented integrates the Fuzzy Analytical Hierarchy Process (FAHP) and PROMETHEE II methodologies; the study’s outcomes suggest that the model significantly reduces ships’ unnecessary CO2 emissions during anchorage waiting periods compared to the FCFS policy, with reduction rates ranging from 32.8% to 45% based on case analysis. Moreover, the proposed model ensures fairness by treating competing arriving ships equitably according to predefined criteria. Full article
18 pages, 8988 KiB  
Article
Combining Sound and Deep Neural Networks for the Measurement of Jump Height in Sports Science
by Lucas Banchero, Jose J. Lopez, Basilio Pueo and Jose M. Jimenez-Olmedo
Sensors 2024, 24(11), 3505; https://doi.org/10.3390/s24113505 (registering DOI) - 29 May 2024
Abstract
Jump height tests are employed to measure lower-limb muscle power of athletic and non-athletic populations. The most popular instruments for this purpose are jump mats and, in recent years, smartphone apps, which compute jump height through the manual annotation of video recordings and [...] Read more.
Jump height tests are employed to measure lower-limb muscle power of athletic and non-athletic populations. The most popular instruments for this purpose are jump mats and, in recent years, smartphone apps, which compute jump height through the manual annotation of video recordings and recently automatically using the sound produced during the jump to extract the flight time. In a previous work, the afore-mentioned sound systems were presented by the authors in which the take-off and landing events from the audio recordings of jump executions were obtained using classical signal processing. In this work, a more precise, noise-immune, and robust system, capable of working in the most unfavorable environments, is presented. The system uses a deep neural network trained specifically for this purpose. More than 300 jumps were recorded to train and validate the network performance. The ground truth was a jump mat, providing a slightly better accuracy in quiet and medium quiet environments but excellent accuracy in noisy and complicated ones. The developed audio-based system is a trustworthy instrument for measuring jump height accurately in any kind of environment, providing a perfect measurement tool that can be accessed through a mobile phone in the form of an app. Full article
(This article belongs to the Collection Sensor Technology for Sports Science)
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16 pages, 6921 KiB  
Article
Fabrication of Erbium-Doped Upconversion Nanoparticles and Carbon Quantum Dots for Efficient Perovskite Solar Cells
by Alhanouf Alotaibi, Farah Alsardi, Fatimah Alshwikhat, Madawey Aldossary, Fudhyah S. Almarwani, Faizah J. Talidi, Shouq A. Almenhali, Sarah F. Almotawa, Yahya A. Alzahrani, Sultan Alenzi, Anwar Alanazi and Masfer Alkahtani
Molecules 2024, 29(11), 2556; https://doi.org/10.3390/molecules29112556 (registering DOI) - 29 May 2024
Abstract
Upconversion nanoparticles (UCNPs) and carbon quantum dots (CQDs) have emerged as promising candidates for enhancing both the stability and efficiency of perovskite solar cells (PSCs). Their rising prominence is attributed to their dual capabilities: they effectively passivate the surfaces of perovskite-sensitive materials while [...] Read more.
Upconversion nanoparticles (UCNPs) and carbon quantum dots (CQDs) have emerged as promising candidates for enhancing both the stability and efficiency of perovskite solar cells (PSCs). Their rising prominence is attributed to their dual capabilities: they effectively passivate the surfaces of perovskite-sensitive materials while simultaneously serving as efficient spectrum converters for sunlight. In this work, we synthesized UCNPs doped with erbium ions as down/upconverting ions for ultraviolet (UV) and near-infrared (NIR) light harvesting. Various percentages of the synthesized UCNPs were integrated into the mesoporous layers of PSCs. The best photovoltaic performance was achieved by a PSC device with 30% UCNPs doped in the mesoporous layer, with PCE = 16.22% and a fill factor (FF) of 74%. In addition, the champion PSCs doped with 30% UCNPs were then passivated with carbon quantum dots at different spin coating speeds to improve their photovoltaic performance. When compared to the pristine PSCs, a fabricated PSC device with 30% UCNPs passivated with CQDs at a spin coating speed of 3000 rpm showed improved power conversion efficiency (PCE), from 16.65% to 18.15%; a higher photocurrent, from 20.44 mA/cm2 to 22.25 mA/cm2; and a superior fill factor (FF) of 76%. Furthermore, the PSCs integrated with UCNPs and CQDs showed better stability than the pristine devices. These findings clear the way for the development of effective PSCs for use in renewable energy applications. Full article
(This article belongs to the Special Issue Progress of Stable Organic Photovoltaic Materials)
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22 pages, 402 KiB  
Review
Green Legacy: Plant Introduction and Dendrological Collections in Yerevan Botanical Garden: From the Past to the Future
by Zhirayr Vardanyan, Alla Aleksanyan, Arsen Gasparyan, Manik Grigoryan, Gayane Gatrchyan and Nelli Muradyan
J. Zool. Bot. Gard. 2024, 5(2), 238-259; https://doi.org/10.3390/jzbg5020017 (registering DOI) - 29 May 2024
Abstract
Botanical living collections within botanical gardens are a crucial global asset for plant diversity. Special attention should be directed towards dendrological collections due to their significant contribution to biodiversity conservation, support for scientific inquiry, enhancement of educational initiatives, and engagement of the public. [...] Read more.
Botanical living collections within botanical gardens are a crucial global asset for plant diversity. Special attention should be directed towards dendrological collections due to their significant contribution to biodiversity conservation, support for scientific inquiry, enhancement of educational initiatives, and engagement of the public. Introducing plants, particularly woody species, poses a significant challenge in botanical science, one that is addressed through botanical gardens and arboretums. The establishment and development of dendrological collections in botanical gardens provide a means to comprehensively represent diverse plant species from various biogeographical regions and continents. The current paper presents, for the first time, the establishment, development, status, and future perspective of dendrological collections at the Yerevan Botanical Garden, particularly in relation to the introduction of woody plants in Armenia. Full article
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23 pages, 863 KiB  
Review
Unveiling the Chemical Composition and Biofunctionality of Hericium spp. Fungi: A Comprehensive Overview
by Elizabeth Kostanda, Sanaa Musa and Idan Pereman
Int. J. Mol. Sci. 2024, 25(11), 5949; https://doi.org/10.3390/ijms25115949 (registering DOI) - 29 May 2024
Abstract
In recent years, research on mushrooms belonging to the Hericium genus has attracted considerable attention due to their unique appearance and well-known medicinal properties. These mushrooms are abundant in bioactive chemicals like polysaccharides, hericenones, erinacines, hericerins, resorcinols, steroids, mono- and diterpenes, and corallocins, [...] Read more.
In recent years, research on mushrooms belonging to the Hericium genus has attracted considerable attention due to their unique appearance and well-known medicinal properties. These mushrooms are abundant in bioactive chemicals like polysaccharides, hericenones, erinacines, hericerins, resorcinols, steroids, mono- and diterpenes, and corallocins, alongside essential nutrients. These compounds demonstrate beneficial bioactivities which are related to various physiological systems of the body, including the digestive, immune, and nervous systems. Extensive research has been conducted on the isolation and identification of numerous bioactive chemicals, and both in vitro and in vivo studies have confirmed their antimicrobial, antioxidant, immunomodulatory, antidiabetic, anticholesterolemic, anticancer, and neuroprotective properties. Therefore, this review aims to provide a comprehensive summary of the latest scientific literature on the chemical composition and secondary metabolites profile of Hericium spp. through an introduction to their chemical characteristics, speculated biosynthesis pathways for key chemical families, potential toxicological aspects, and a detailed description of the recent updates regarding the bioactivity of these metabolites. Full article
(This article belongs to the Special Issue Investigation of Natural Products as Sources of Bioactive Molecules)
18 pages, 1141 KiB  
Article
The Role of Amphiphilic Nanosilica Fluid in Reducing Viscosity in Heavy Oil
by Yuejie Wang, Wei Zheng, Hongyou Zhang, Chenyang Tang, Jun Zhang, Dengfei Yu, Xuanfeng Lu and Gang Li
Energies 2024, 17(11), 2625; https://doi.org/10.3390/en17112625 (registering DOI) - 29 May 2024
Abstract
Heavy oil accounts for a considerable proportion of the world’s petroleum resources, and its exploitation helps to mitigate reliance on conventional oil resources and diversify energy supply. However, due to the high viscosity and high adhesion characteristics of heavy oil, conventional methods such [...] Read more.
Heavy oil accounts for a considerable proportion of the world’s petroleum resources, and its exploitation helps to mitigate reliance on conventional oil resources and diversify energy supply. However, due to the high viscosity and high adhesion characteristics of heavy oil, conventional methods such as thermal recovery, emulsification, and dilution have significant limitations and cannot meet the growing demands for heavy oil production. In this study, 3-propyltrimethoxysilane (MPS) was used to modify and graft amphiphilic surfactants (AS) onto nanosilica to prepare a salt-resistant (total mineralization > 8000 mg/L, Ca2+ + Mg2+ > 1000 mg/L) and temperature-resistant (250 °C) nanosilicon viscosity reducer (NSD). This article compares amphiphilic surfactants (AS) as conventional viscosity-reducing agents with NSD. FTIR and TEM measurements indicated successful bonding of 3-propyltrimethoxysilane to the surface of silica. Experimental results show that at a concentration of 0.2 wt% and a mineralization of 8829 mg/L, the viscosity reduction rates of thick oil (LD-1) before and after aging were 85.29% and 81.36%, respectively, from an initial viscosity of 38,700 mPa·s. Contact angle experiments demonstrated that 0.2 wt% concentration of NSD could change the surface of reservoir rock from oil-wet to water-wet. Interfacial tension experiments showed that the interfacial tension between 0.2 wt% NSD and heavy oil was 0.076 mN/m. Additionally, when the liquid-to-solid ratio was 10:1, the dynamic and static adsorption amounts of 0.2 wt% NSD were 1.328 mg/g-sand and 0.745 mg/g-sand, respectively. Furthermore, one-dimensional displacement experiments verified the oil recovery performance of NSD at different concentrations (0.1 wt%, 0.15 wt%, 0.2 wt%, 0.25 wt%) at 250 °C and compared the oil recovery efficiency of 0.2 wt% NSD with different types of demulsifiers. Experimental results indicate that the recovery rate increased with the increase in NSD concentration, and 0.2 wt% NSD could improve the recovery rate of heavy oil by 22.8% at 250 °C. The study of nano-demulsification oil recovery systems can effectively improve the development efficiency of heavy oil. Full article
(This article belongs to the Special Issue Advances in the Development of Unconventional Oil and Gas Resources)
19 pages, 289 KiB  
Article
Certain New Applications of Symmetric q-Calculus for New Subclasses of Multivalent Functions Associated with the Cardioid Domain
by Hari M. Srivastava, Daniel Breaz, Shahid Khan and Fairouz Tchier
Axioms 2024, 13(6), 366; https://doi.org/10.3390/axioms13060366 (registering DOI) - 29 May 2024
Abstract
In this work, we study some new applications of symmetric quantum calculus in the field of Geometric Function Theory. We use the cardioid domain and the symmetric quantum difference operator to generate new classes of multivalent q-starlike and q-convex functions. We [...] Read more.
In this work, we study some new applications of symmetric quantum calculus in the field of Geometric Function Theory. We use the cardioid domain and the symmetric quantum difference operator to generate new classes of multivalent q-starlike and q-convex functions. We examine a wide range of interesting properties for functions that can be classified into these newly defined classes, such as estimates for the bounds for the first two coefficients, Fekete–Szego-type functional and coefficient inequalities. All the results found in this research are sharp. A number of well-known corollaries are additionally taken into consideration to show how the findings of this research relate to those of earlier studies. Full article
(This article belongs to the Special Issue Advances in Geometric Function Theory and Related Topics)
11 pages, 2856 KiB  
Article
Synergistic Modulation of Sn-Based Perovskite Solar Cells with Crystallization and Interface Engineering
by Yunzhao Sun, Yaoyao Song, Mengfan Liu and Huiyin Zhang
Molecules 2024, 29(11), 2557; https://doi.org/10.3390/molecules29112557 (registering DOI) - 29 May 2024
Abstract
A high-quality Sn-based perovskite absorption layer and effective carrier transport are the basis for high-performance Sn-based perovskite solar cells. The suppression of Sn2+ oxidation and rapid crystallization is the key to obtaining high-quality Sn-based perovskite film. And interface engineering is an effective [...] Read more.
A high-quality Sn-based perovskite absorption layer and effective carrier transport are the basis for high-performance Sn-based perovskite solar cells. The suppression of Sn2+ oxidation and rapid crystallization is the key to obtaining high-quality Sn-based perovskite film. And interface engineering is an effective strategy to enhance carrier extraction and transport. In this work, tin fluoride (SnF2) was introduced to the perovskite precursor solution, which can effectively modulate the crystallization and morphology of Sn-based perovskite layer. Furthermore, the hole-transporting layer of PEDOT:PSS was modified with CsI to enhance the hole extraction and transport. As a result, the fabricated inverted Sn-based perovskite solar cells demonstrated a power conversion efficiency of 7.53% with enhanced stability. Full article
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