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17 pages, 2313 KiB  
Article
A Study on the Catch Losses and Mesh Selectivity Related to the Attachment of Marine Mammal Bycatch Reduction Devices on Midwater Trawl Gear
by Jung-Mo Jung, Min-Seuk Park and Kyu-Suk Choi
Fishes 2024, 9(10), 391; https://doi.org/10.3390/fishes9100391 (registering DOI) - 28 Sep 2024
Abstract
The National Institute of Fisheries Science in Korea is developing marine mammal bycatch reduction devices (BRDs) for high-risk fishing gear, such as trawls. We experimented with two BRD types (guiding nets) attached in front of codend at 30° and 45° angles, and catch [...] Read more.
The National Institute of Fisheries Science in Korea is developing marine mammal bycatch reduction devices (BRDs) for high-risk fishing gear, such as trawls. We experimented with two BRD types (guiding nets) attached in front of codend at 30° and 45° angles, and catch losses and mesh size selectivity were investigated. Experimental fishing operations were conducted along the East Coast of South Korea where whales and dolphins are commonly sighted. The catch was classified according to fishing location, BRD type, codend, and covernet, with measurements recorded for body length, maximum girth, and weight. The average selectivity for each haul was analyzed using the ‘selfisher’ package. The catch loss rates with the BRD attached at tilt angles of 30° and 45° were 11% and 29% for common flying squid, 6% and 28% for sailfin sandfish, and 5% and 8% for pearlside. While the mesh selectivity rates for common flying squid and pearlside remained at 0.2–0.5 across all lengths and tilt angles, the mesh selectivity curve for sailfin sandfish was estimated. There were significant differences in catch loss between 30° and 45° angles, with the 30° angle being more effective in catch loss. We observed a masking effect in the codend. Full article
19 pages, 3410 KiB  
Article
Farmers’ Perception of Shelter Forests and the Influencing Factors in Windy Desert Areas of the Hexi Corridor, China
by Yuzhong Zhang, Gaofeng Zhu, Yang Zhang, Jingjing Wu, Zhiqi Gao, Yonghong Su, Cong Xu and Haochen Fan
Forests 2024, 15(10), 1721; https://doi.org/10.3390/f15101721 (registering DOI) - 28 Sep 2024
Abstract
Shelter forest systems in the sandy areas mainly comprise farmland shelter forests (FSF) and windbreak and sand-fixing forests (WSF). Through a questionnaire survey of farmers in the oasis–desert transition zone of the windy desert areas of the Hexi Corridor in China, a perception [...] Read more.
Shelter forest systems in the sandy areas mainly comprise farmland shelter forests (FSF) and windbreak and sand-fixing forests (WSF). Through a questionnaire survey of farmers in the oasis–desert transition zone of the windy desert areas of the Hexi Corridor in China, a perception assessment model of farmers’ perception of the status quo and ecosystem service function of shelter forests was constructed, and the willingness of farmers to pay for shelter forest construction and protection was measured. Influencing factors for the farmers’ perception of shelter forests were analyzed by a multiple regression analysis. The results showed problems with pests and diseases all present in FSF and WSF, the destruction of farmland in FSF, and water scarcity in WSF. Farmers evaluated the ecological role of shelter forests as the most obvious in windbreak and sand fixation; intermediate in the four ecological roles of leisure and recreation, agricultural production, a sense of locality, and climate regulation; and the smallest in soil improvement. Nearly 95% of farmers are willing to donate funds to shelter forest construction and protection, and the average amount the farmers were willing to pay was CNY 54.30 per year. Willingness to pay, annual household income, gender, environmental experience, age, and interview area have significant effects on farmers’ perception of shelter forests. Finally, in this paper, we recommend increasing motivation through government financial support and training for farmers to address pests and diseases, water security, and the destruction of farmland in shelter forests to ensure healthy and sustainable growth. Full article
(This article belongs to the Section Forest Economics, Policy, and Social Science)
13 pages, 5484 KiB  
Article
Experimental Research on Pollution-Free Alcohol Cutting Fluid in Scratching of Single-Crystal Copper Material
by Xian Wu, Benchi Li, Ke Sun, Congfu Fang and Jianyun Shen
Lubricants 2024, 12(10), 333; https://doi.org/10.3390/lubricants12100333 (registering DOI) - 28 Sep 2024
Abstract
Cutting fluid can improve the heat dissipation and lubrication in the cutting process and thus increase the machining quality. In this work, a pollution-free alcohol solution was proposed as the cutting fluid in an ultra-precision cutting process to explore green cutting fluids. The [...] Read more.
Cutting fluid can improve the heat dissipation and lubrication in the cutting process and thus increase the machining quality. In this work, a pollution-free alcohol solution was proposed as the cutting fluid in an ultra-precision cutting process to explore green cutting fluids. The scratching experiments were conducted with the alcohol cutting fluid to study its effect on the cutting process. It is found that the use of an alcohol cutting fluid, on average, reduces the tangential and normal force about 27–53%, but exhibits few effects on the friction coefficient in the cutting process. Compared to dry cutting, the alcohol cutting fluid reduces the exposed shear slip steps on the outside surface of the chip, which implies the decreased chip deformation degree of workpiece material in the cutting process. The alcohol cutting fluid can reduce microburrs and decrease the machined surface roughness Ra from 21 nm to 9.9 nm in the ultra-precision turning application on single-crystal copper material. Full article
34 pages, 6298 KiB  
Article
Dynamic Optimization and Placement of Renewable Generators and Compensators to Mitigate Electric Vehicle Charging Station Impacts Using the Spotted Hyena Optimization Algorithm
by Thangaraj Yuvaraj, Natarajan Prabaharan, Chinnappan John De Britto, Muthusamy Thirumalai, Mohamed Salem and Mohammad Alhuyi Nazari
Sustainability 2024, 16(19), 8458; https://doi.org/10.3390/su16198458 (registering DOI) - 28 Sep 2024
Abstract
The growing adoption of electric vehicles (EVs) offers notable benefits, including reduced maintenance costs, improved performance, and environmental sustainability. However, integrating EVs into radial distribution systems (RDSs) poses challenges related to power losses and voltage stability. The model accounts for hourly variations in [...] Read more.
The growing adoption of electric vehicles (EVs) offers notable benefits, including reduced maintenance costs, improved performance, and environmental sustainability. However, integrating EVs into radial distribution systems (RDSs) poses challenges related to power losses and voltage stability. The model accounts for hourly variations in demand, making it crucial to determine the optimal placement of electric vehicle charging stations (EVCSs) throughout the day. This study proposes a new approach that combines EVCSs, distribution static compensators (DSTATCOMs), and renewable distributed generation (RDG) from solar and wind sources, with a focus on dynamic analysis over 24 h. The spotted hyena optimization algorithm (SHOA) is employed to determine near-global optimum locations and sizes for RDG, DSTATCOMs, and EVCSs, aiming to minimize real power loss while meeting system constraints. The SHOA outperforms traditional methods due to its unique search mechanism, which effectively balances exploration and exploitation, allowing it to find superior solutions in complex environments. Simulations on an IEEE 34-bus RDS under dynamic load conditions validate the approach, demonstrating a reduction in average power loss from 180.43 kW to 72.04 kW, a 72.6% decrease. Compared to traditional methods under constant load conditions, the SHOA achieves a 77.0% reduction in power loss, while the BESA and PSO achieve reductions of 61.1% and 44.7%, respectively. These results underscore the effectiveness of the SHOA in enhancing system performance and significantly reducing real power loss. Full article
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16 pages, 4357 KiB  
Article
Magnetic Phase-Change Microcapsules with High Encapsulation Efficiency, Enhancement of Infrared Stealth, and Thermal Stability
by Chun-Wei Chang, Zheng-Ting Chen and Yeng-Fong Shih
Materials 2024, 17(19), 4778; https://doi.org/10.3390/ma17194778 (registering DOI) - 28 Sep 2024
Abstract
Due to energy shortages and the greenhouse effect, the efficient use of energy through phase-change materials (PCMs) is gaining increased attention. In this study, magnetic phase-change microcapsules (Mag-mc) were prepared by suspension polymerization. The shell layer of the microcapsules was formed by copolymerizing [...] Read more.
Due to energy shortages and the greenhouse effect, the efficient use of energy through phase-change materials (PCMs) is gaining increased attention. In this study, magnetic phase-change microcapsules (Mag-mc) were prepared by suspension polymerization. The shell layer of the microcapsules was formed by copolymerizing methyl methacrylate and triethoxyethylene silane, with the latter enhancing the compatibility of the shell layer with the magnetic additive. Ferric ferrous oxide modified by oleic acid (Fe3O4(m)) was added as the magnetic additive. Differential scanning calorimetry (DSC) testing revealed that the content of phase-change materials in microcapsules without and with ferric ferrous oxide were 79.77% and 96.63%, respectively, demonstrating that the addition of Fe3O4(m) improved the encapsulation efficiency and enhanced the energy storage ability of the microcapsules. Laser particle size analysis showed that the overall average particle sizes for the microcapsules without and with ferric ferrous oxide were 3.48 μm and 2.09 μm, respectively, indicating that the incorporation of magnetic materials reduced the size and distribution of the microcapsules. Thermogravimetric analysis indicated that the thermal stability of the microcapsules was enhanced by the addition of Fe3O4(m). Moreover, the infrared emissivity of the microcapsule-containing film decreased from 0.77 to 0.72 with the addition of Fe3O4(m) to the shell of microcapsules. Full article
(This article belongs to the Special Issue Phase Change Materials (PCM) for Thermal Energy Storage)
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8 pages, 1843 KiB  
Communication
Assessing the Effects of Phytogenic Feed Additives on Broilers during a Necrotic Enteritis Challenge
by Candice E. C. Blue, Mallory B. White and Rami A. Dalloul
Poultry 2024, 3(4), 346-353; https://doi.org/10.3390/poultry3040026 (registering DOI) - 28 Sep 2024
Abstract
Subclinical necrotic enteritis (NE) is an enteric disease that inflicts significant economic losses in the poultry industry, primarily by reducing performance in commercial flocks but without significant mortality. This study evaluated the effects of a variety of phytogenic blends on broilers’ performance and [...] Read more.
Subclinical necrotic enteritis (NE) is an enteric disease that inflicts significant economic losses in the poultry industry, primarily by reducing performance in commercial flocks but without significant mortality. This study evaluated the effects of a variety of phytogenic blends on broilers’ performance and carcass composition during an induced NE challenge. In this study, 1120 day (d)-old male broilers were allocated to four treatments groups (14 replicate floor pens, 20 birds/pen): the control (CONT) group, fed a basal corn-soybean diet, and three phytogenic blend dietary additives (PHYTO1, PHYTO2, and PHYTO3) added to the basal diet at 150, 250, and 500 mg/kg feed, respectively. Subclinical NE was induced by spraying a concentrated coccidiosis vaccine onto the feed and litter 24 h post-placement. On day 8, two birds/pen were necropsied for NE lesions. On days 8, 14, 28, and 42, the average daily gain (ADG), feed intake (ADFI), and feed conversion ratio (FCR) were calculated. On day 42, two birds/pen were euthanized to assess carcass composition using dual-energy X-ray absorptiometry (DXA). Statistical analyses for all data were performed using the ANOVA procedure (JMP, Pro 16) and significance (p ≤ 0.05) between treatments was determined by the LSD test. There was no effect of treatment on NE lesions. PHYTO1, PHYTO2, and PHYTO3 significantly improved FCR from days 9 to 14, 0 to 14, and 0 to 42 and resulted in greater ADG from days 9 to 14, 29 to 42 and cumulatively on days 0 to 42. Carcass composition data revealed a numerically higher lean-to-fat ratio in the PHYTO groups compared to the CONT group. These results indicate that the dietary supplementation of phytogenic blends could alleviate the adverse effects of NE challenge on broilers’ performance and carcass composition. Full article
22 pages, 1354 KiB  
Article
Dietary Chitosan Nanoparticles Enhance Growth, Antioxidant Defenses, Immunity, and Aeromonas veronii biovar sobria Resistance in Nile tilapia Oreochromis niloticus
by Nesreen Hossam-Elden, Nermeen M. Abu-Elala, Huda O. AbuBakr, Zhi Luo, Samira H. Aljuaydi, Marwa Khattab, Sara E. Ali, Mohamed S. Marzouk and Islam I. Teiba
Fishes 2024, 9(10), 388; https://doi.org/10.3390/fishes9100388 (registering DOI) - 28 Sep 2024
Abstract
While chitosan is widely used in aquaculture feed, chitosan nanoparticles (CNPs) offer potential advantages due to their enhanced absorption. This study investigated the safe use of CNP levels in Nile tilapia feed, evaluating its impact on growth, immunity, and disease resistance. Five experimental [...] Read more.
While chitosan is widely used in aquaculture feed, chitosan nanoparticles (CNPs) offer potential advantages due to their enhanced absorption. This study investigated the safe use of CNP levels in Nile tilapia feed, evaluating its impact on growth, immunity, and disease resistance. Five experimental diets were formulated and supplemented with zero chitosan (served as a control group), 1g/kg of chitosan (CS), and 1, 3, and 5 g/kg of CNPs. Each diet was randomly assigned to three replicate groups of 45 fish per group (15 fish/tank) with an average weight of (42.10 ± 0.05g, mean ± S.E.) twice daily (09:00 a.m. and 4:00 p.m.) to apparent satiation for two months. At the end of the feeding trial, fish fed 5 g/ kg of CNPs had the highest growth performance. However, no significant variations (p > 0.05) in somatic index were seen between the experimental groups. All chitosan and CNP-enriched groups exhibited improved intestinal morphology compared to the control group, characterized by increased villus length and width, reduced necrosis of intestinal tips, and better overall tissue integrity, with the CNP 3g and 5g groups demonstrating the most favorable intestinal structure. The CNP-treated groups (3, 5 g/kg) had significantly higher blood indices and serum globulin. Malondialdehyde (MDA) levels were lower in the CNP-treated groups compared to the chitosan macromolecule group. There was a substantial rise in glutathione (GSH), total antioxidant capacity (TAC), phagocytic index, and respiratory burst activity in the 5 g/kg CNP-treated group. The dietary addition of 5 g/kg of CNPs raised mRNA expression for TLR-2, MUC-2, and IGF-1, but there was no significant difference in HSP70 expression across treatments. After the experimental challenge with Aeromonas veronii biovar sobria, the groups that received 3 and 5 g/kg of CNPs exhibited the lowest mortality rates. Overall, the results suggest that including 5g/kg of CNPs in fish food is safe and effective for enhancing their health and growth, making it a promising addition to aquaculture feed. Full article
(This article belongs to the Section Nutrition and Feeding)
19 pages, 593 KiB  
Article
A Resource Allocation Algorithm for Cloud-Network Collaborative Satellite Networks with Differentiated QoS Requirements
by Zhimin Shao, Qingyang Ding, Lingzhen Meng, Tao Yang, Shengpeng Chen and Yapeng Li
Electronics 2024, 13(19), 3843; https://doi.org/10.3390/electronics13193843 (registering DOI) - 28 Sep 2024
Abstract
With the continuous advancement of cloud computing and satellite communication technology, the cloud-network-integrated satellite network has emerged as a novel network architecture. This architecture harnesses the benefits of cloud computing and satellite communication to achieve global coverage, high reliability, and flexible information services. [...] Read more.
With the continuous advancement of cloud computing and satellite communication technology, the cloud-network-integrated satellite network has emerged as a novel network architecture. This architecture harnesses the benefits of cloud computing and satellite communication to achieve global coverage, high reliability, and flexible information services. However, as business types and user demands grow, addressing differentiated Quality of Service (QoS) requirements has become a crucial challenge for cloud-network-integrated satellite networks. Effective resource allocation algorithms are essential to meet these differentiated QoS requirements. Currently, research on resource allocation algorithms for differentiated QoS requirements in cloud-network-integrated satellite networks is still in its early stages. While some research results have been achieved, there persist issues such as high algorithm complexity, limited practicality, and a lack of effective evaluation and adjustment mechanisms. The first part of this study examines the state of research on network virtual mapping methods that are currently in use. A reinforcement-learning-based virtual network mapping approach that considers quality of service is then suggested. This algorithm aims to improve user QoS and request acceptance ratio by introducing QoS satisfaction parameters. With the same computational complexity, QoS is significantly improved. Additionally, there has been a noticeable improvement in the request acceptance ratio and resource utilization efficiency. The proposed algorithm solves existing challenges and takes a step towards more practical and efficient resource allocation in cloud-network-integrated satellite networks. Experiments have proven the practicality of the proposed virtual network embedding algorithm of Satellite Network (SN-VNE) based on Reinforcement Learning (RL) in meeting QoS and improving utilization of limited heterogeneous resources. We contrast the performance of the SN-VNE algorithm with DDRL-VNE, CDRL, and DSCD-VNE. Our algorithm improve the acceptance ratio of VNEs, long-term average revenue and delay by an average of 7.9%, 15.87%, and 63.21%, respectively. Full article
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18 pages, 3591 KiB  
Article
Characterization and Sources of VOCs during PM2.5 Pollution Periods in a Typical City of the Yangtze River Delta
by Dan Zhang, Xiaoqing Huang, Shaoxuan Xiao, Zhou Zhang, Yanli Zhang and Xinming Wang
Atmosphere 2024, 15(10), 1162; https://doi.org/10.3390/atmos15101162 (registering DOI) - 28 Sep 2024
Viewed by 68
Abstract
To investigate the characteristics and sources of volatile organic compounds (VOCs) as well as their impacts on secondary organic aerosols (SOAs) formation during high-incidence periods of PM2.5 pollution, a field measurement was conducted in December 2019 in Hefei, a typical city of [...] Read more.
To investigate the characteristics and sources of volatile organic compounds (VOCs) as well as their impacts on secondary organic aerosols (SOAs) formation during high-incidence periods of PM2.5 pollution, a field measurement was conducted in December 2019 in Hefei, a typical city of the Yangtze River Delta (YRD). During the whole process, the mixing ratios of VOCs were averaged as 21.1 ± 15.9 ppb, with alkanes, alkenes, alkyne, and aromatics accounting for 59.9%, 15.3%, 15.0%, and 9.8% of the total VOCs, respectively. It is worth noting that the contributions of alkenes and alkyne increased significantly during PM2.5 pollution periods. Based on source apportionment via the positive matrix factorization (PMF) model, vehicle emissions, liquefied petroleum gas/natural gas (LPG/NG), and biomass/coal burning were the main sources of VOCs during the research in Hefei. During pollution periods, however, the contribution of biomass/coal burning to VOCs increased significantly, reaching as much as 47.6%. The calculated SOA formation potential (SOAFP) of VOCs was 0.38 ± 1.04 µg m−3 (range: 0.04–7.30 µg m−3), and aromatics were the dominant contributors, with a percentage of 96.8%. The source contributions showed that industrial emissions (49.1%) and vehicle emissions (28.3%) contributed the most to SOAFP during non-pollution periods, whereas the contribution of biomass/coal burning to SOA formation increased significantly (32.8%) during PM2.5 pollution periods. These findings suggest that reducing VOCs emissions from biomass/coal burning, vehicle, and industrial sources is a crucial approach for the effective control of SOA formation in Hefei, which provides a scientific basis for controlling PM2.5 pollution and improving air quality in the YRD region. Full article
(This article belongs to the Section Aerosols)
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11 pages, 644 KiB  
Article
Impact of Reactive Balance Training on a Perturbation Treadmill on Physical Performance in Geriatric Patients:Results of a Single-Center, Assessor Blinded Randomized Controlled Trial
by Alexander Petrovic, Rainer Wirth, Christiane Klimek, Gero Lueg, Diana Daubert, Chantal Giehl and Ulrike Sonja Trampisch
J. Clin. Med. 2024, 13(19), 5790; https://doi.org/10.3390/jcm13195790 (registering DOI) - 28 Sep 2024
Viewed by 69
Abstract
Background/Objectives: Falls and related injuries are a frequent and serious health problem in older persons. Among the various strategies, different forms of active physical training, in particular, have demonstrated success in reducing fall risk. A task-specific training approach is perturbation-based training of reactive [...] Read more.
Background/Objectives: Falls and related injuries are a frequent and serious health problem in older persons. Among the various strategies, different forms of active physical training, in particular, have demonstrated success in reducing fall risk. A task-specific training approach is perturbation-based training of reactive balance. Performing this training modality on a perturbation treadmill, secured with a safety harness, is an innovative new approach facilitating task-specific training with unannounced perturbations in a safe environment. The aim of this study was to investigate the feasibility and effectiveness of this specific training in multimorbid older hospitalized patients with prefrailty and frailty. Methods: The trial was conducted as a prospective single-center, assessor-blinded randomized controlled trial. A total of 127 acute-care geriatric hospitalized patients were enrolled in a program either involving a minimum of 60 min perturbation-based treadmill training or treadmill training without perturbations on the identical device and for a comparable training period. Results: Participants were 81 ± 6 years old (64% female) with a baseline FRAIL Scale, SPPB, and MoCA scores of 3.5 ± 1.6, 8.3 ± 2.6, and 21 ± 5 points, respectively. The training was performed on six occasions with an average total training period of 89 min during a mean hospital stay of 17 ± 3 days. Between the baseline and up to 2 days after the last training, the Short Physical Performance Battery score, which was considered the primary endpoint, improved by 1.4 ± 2.1 points in the intervention group compared to 0.5 ± 1.7 in the control group, with a 0.9-point difference between the groups (p < 0.001). Conclusions: a relatively short training period of approximately 90 min on a perturbation treadmill led to a significant and clinically meaningful increase in the physical performance of frail and prefrail hospitalized geriatric patients. However, its effectiveness in reducing fall risk is yet to be proven in this population. Full article
(This article belongs to the Section Epidemiology & Public Health)
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16 pages, 2749 KiB  
Article
Cost-Effectiveness of Influenza Vaccination in Healthy Children: A 10-Year Population-Based Study
by Elisa Barbieri, Yuxi Wang, Anna Cantarutti, Antonio Scamarcia, Luigi Cantarutti, Giovanni Corrao, Aleksandra Torbica and Carlo Giaquinto
Vaccines 2024, 12(10), 1113; https://doi.org/10.3390/vaccines12101113 (registering DOI) - 28 Sep 2024
Viewed by 94
Abstract
Background/Objectives: Seasonal influenza annually puts a significant burden on the pediatric population, especially the youngest, causing severe illness and death. Additionally, associated healthcare costs cause a significant financial strain on healthcare systems. While vaccination is the most effective prevention method, its cost-effectiveness [...] Read more.
Background/Objectives: Seasonal influenza annually puts a significant burden on the pediatric population, especially the youngest, causing severe illness and death. Additionally, associated healthcare costs cause a significant financial strain on healthcare systems. While vaccination is the most effective prevention method, its cost-effectiveness for healthy children remains unassessed. Methods: Using the Pedianet database spanning from 2009 to 2019, we analyzed influenza cases among 6-month-olds to 14-year-olds in Italy. Data included influenza-related medical visits, prescriptions, exams, emergency visits, hospitalizations, and costs. Adverse events and quality-adjusted life years (QALYs) were considered from the existing literature. A static decision-tree model compared annual vaccination strategies, assessing probabilities for influenza or influenza-like illnesses by vaccination status. Incremental cost-effectiveness ratios (ICERs) were calculated, along with sensitivity analyses and cost-effectiveness acceptability curve generation. Results: Mean total influenza costs for vaccinated children averaged EUR 18.6 (range 0–3175.9, including EUR 15.79 for the influenza vaccination), whereas costs for unvaccinated children were consistently lower at around EUR 4.6 (range 0–3250.1). The average ICER for years where vaccine and virus strains are matched was EUR 29,831 per QALY, which is below the EUR 40,000 threshold set by the Italian National Health Services. The ICER values range from EUR 13,736 (2017/2018) to EUR 72,153 (2013/2014). Averted influenza costs averaged EUR 23 per case, with fluctuations over the years. In most observed years, influenza vaccination was cost-effective from the healthcare providers’ standpoint. The exception was 2009–2010, due to a mismatch between vaccine and virus strains. Conclusions: This study highlights the economic viability of influenza vaccination, especially when virus and vaccine strains align. It demonstrates the potential of vaccination programs in preserving children’s health and well-being while managing healthcare costs. Full article
(This article belongs to the Special Issue Vaccination Strategies for Global Public Health)
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12 pages, 9715 KiB  
Article
Molecular Simulation of CH4 Adsorption Characteristics under the Coupling of Different Temperature and Water Content
by Yabin Gao, Gaojie Hou, Jing Cao, Shaoqi Zhang and Ziwen Li
Appl. Sci. 2024, 14(19), 8757; https://doi.org/10.3390/app14198757 (registering DOI) - 28 Sep 2024
Viewed by 133
Abstract
The adsorption characteristics of CH4 have an important influence on gas content prediction, gas extraction, and hazard prevention. Therefore, we explored the mechanism of CH4 adsorption under the action of water and temperature to grasp the influence of water and temperature [...] Read more.
The adsorption characteristics of CH4 have an important influence on gas content prediction, gas extraction, and hazard prevention. Therefore, we explored the mechanism of CH4 adsorption under the action of water and temperature to grasp the influence of water and temperature on the adsorption characteristics of CH4. In this paper, a giant, regular-system Monte Carlo method is used to simulate the CH4 adsorption behavior at the molecular level under different temperatures, water contents, and the coupling of both. The results indicate that an empirical formula for the coupling effect of temperature and water content on CH4 adsorption was obtained. The impact of different effects on CH4 adsorption is as follows: coupling effect > single temperature effect > single water content effect. The optimal combination is at a temperature of 363 K and a water content of 8.31%. Compared with the CH4 adsorption capacity without water at room temperature, the CH4 adsorption capacity is reduced by 68.04% under the coupling effect of the optimal combination. Temperature has a negative effect on the adsorption of CH4, and temperature changes the adsorption capacity by changing the average molecular kinetic energy of CH4. The reason why the increase in H2O reduces the adsorption capacity of CH4 is that the interaction between H2O and the oxygen-containing functional groups of coal is stronger than that of CH4. As the water content increases, the adsorption heat decreases, thereby inhibiting the adsorption of CH4. In addition, H2O has a smaller molecular dynamics radius as compared to CH4; the larger the free volume and surface area in the pore structure, the more adsorption pores it occupies, resulting in a more significant reduction in the adsorption of CH4. Full article
(This article belongs to the Special Issue Coalbed Degassing Method and Technology)
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23 pages, 7106 KiB  
Article
Mixed Coniferous Broad-Leaved Forests as Road Shelter Forests: Increased Urban Traffic Noise Reduction Effects and Economic Benefits
by Jiaxuan Liu, Yulun Wu, Haibo Hu and Yuanyuan Feng
Forests 2024, 15(10), 1714; https://doi.org/10.3390/f15101714 - 27 Sep 2024
Viewed by 190
Abstract
Establishing road shelter forests is a key method to reduce traffic noise pollution. However, the characteristics of various types of road shelter forests and their effectiveness in reducing traffic noise remain extensively unexplored. This study focused on five types of pure road shelter [...] Read more.
Establishing road shelter forests is a key method to reduce traffic noise pollution. However, the characteristics of various types of road shelter forests and their effectiveness in reducing traffic noise remain extensively unexplored. This study focused on five types of pure road shelter forests (PFs) and one type of mixed coniferous broad-leaved forest (MCBLF). By conducting field noise monitoring and spectrum simulations, we analyzed average mass density, additional noise reduction and economic benefits. With a forest belt width of 60 m, the MCBLF reduced additional noise by 6.6 dB(A). Additionally, Forest height, crown shape, average mass density and noise frequency were all positively linked to noise reduction. The width of shelter forests was the main factor affecting noise reduction. Linear regression analysis results showed that cumulative mass surface density was a significant factor in noise reduction (p < 0.01, R2 = 0.93). Furthermore, the type and composition of the shelter forest had indirect effects on noise reduction. The MCBLF had better noise-reducing effects compared to both broad-leaved PFs and needle-leaved PFs due to its more complex structure. Interestingly, as the forest belt became wider, the noise reduction benefits per unit area decreased, implying that a 10 m wide forest belt offered higher economic returns. Considering that a 10 m wide shelter forest belt did not meet noise reduction requirements. This study suggested that the 20 m wide MCBLF was an optimal choice as an urban road shelter forest, providing both effective noise reduction and maximized economic benefits. Our findings provide a basis for the construction and sustainable development of road shelter forests with noise reduction functions. Full article
(This article belongs to the Special Issue Urban Forests and Greening for Sustainable Cities)
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20 pages, 677 KiB  
Article
A Sample Average Approximation Approach for Stochastic Optimization of Flight Test Planning with Sorties Uncertainty
by Lunhao Ju, Jiang Jiang, Luofu Wu and Jianbin Sun
Mathematics 2024, 12(19), 3024; https://doi.org/10.3390/math12193024 - 27 Sep 2024
Viewed by 225
Abstract
In the context of flight test planning, numerous uncertainties exist, encompassing aircraft status, number of flights, and weather conditions, among others. These uncertainties ultimately manifest significantly in the actual number of flight sorties executed, rendering high significance to engineering problems related to the [...] Read more.
In the context of flight test planning, numerous uncertainties exist, encompassing aircraft status, number of flights, and weather conditions, among others. These uncertainties ultimately manifest significantly in the actual number of flight sorties executed, rendering high significance to engineering problems related to the execution of flight test missions. However, there is a dearth of research in this specific aspect. To address this gap, this paper proposes an opportunity-constrained integer programming model tailored to the unique characteristics of the problem. To handle the uncertainties, Sample Average Approximation (SAA) is employed to perform oversampling of the uncertain parameters, followed by the Adaptive Large Neighborhood Search (ALNS) algorithm to solve for the optimal solution and objective function value. Results from numerical experiments conducted at varying scales and validated with diverse sampling distributions demonstrate the effectiveness and robustness of the proposed methodology. By decoding the generated execution sequences, comprehensive mission planning schemes can be derived. This approach yields sequences that exhibit commendable feasibility and robustness for the flight test planning problem with sorties uncertainty (FTPPSU), offering valuable support for the efficient execution of future flight test missions. Full article
(This article belongs to the Section Engineering Mathematics)
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16 pages, 570 KiB  
Article
Potential of Students to Become Entrepreneurs in the Chemical Industry
by Sebastian Walther, Stephan Haubold and Renata Dobrucka
Educ. Sci. 2024, 14(10), 1059; https://doi.org/10.3390/educsci14101059 - 27 Sep 2024
Viewed by 202
Abstract
Chempreneurs are revolutionary entrepreneurs who have been trained at a chemistry faculty. They are expected to find innovative solutions for current challenges to the chemical industry, such as sustainability. Innovative chemical entrepreneurship is the art of commercialising innovations from chemistry for a broad [...] Read more.
Chempreneurs are revolutionary entrepreneurs who have been trained at a chemistry faculty. They are expected to find innovative solutions for current challenges to the chemical industry, such as sustainability. Innovative chemical entrepreneurship is the art of commercialising innovations from chemistry for a broad audience outside the classroom. Innovative ideas that are implemented with societal relevance offer the potential for individuals/graduates to generate income and promote the economy, thus offering students the opportunity to lay the foundation for a career with innovations developed in class. The probability of a German chemistry student founding a company is 54% lower than for the average German student. Previous studies show the potential effects of social capital, the subjective norm, motives and barriers for chemistry students in Germany. In this study, we tested these hypotheses by implementing entrepreneurship education. Two surveys, one before class and one with a one-week delay, were conducted with first- and third-semester chemistry bachelor students at the Fresenius University of Applied Sciences in Idstein, Germany. We conducted the surveys to understand how students view chemistry career opportunities through entrepreneurship and how to change this mindset. Finally, we propose a pedagogy to introduce/expand entrepreneurship in chemistry and discuss approaches for future research. Full article
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