The 2023 MDPI Annual Report has
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14 pages, 5826 KiB  
Article
Direct Measurement of Dissolved Gas Using a Tapered Single-Mode Silica Fiber
by Panpan Sun, Mengpeng Hu, Licai Zhu, Hui Zhang, Jinguang Lv, Yu Liu, Jingqiu Liang and Qiang Wang
Sensors 2024, 24(10), 3200; https://doi.org/10.3390/s24103200 (registering DOI) - 17 May 2024
Abstract
Dissolved gases in the aquatic environment are critical to understanding the population of aquatic organisms and the ocean. Currently, laser absorption techniques based on membrane separation technology have made great strides in dissolved gas detection. However, the prolonged water–gas separation time of permeable [...] Read more.
Dissolved gases in the aquatic environment are critical to understanding the population of aquatic organisms and the ocean. Currently, laser absorption techniques based on membrane separation technology have made great strides in dissolved gas detection. However, the prolonged water–gas separation time of permeable membranes remains a key obstacle to the efficiency of dissolved gas analysis. To mitigate these limitations, we demonstrated direct measurement of dissolved gas using the evanescent-wave absorption spectroscopy of a tapered silica micro-fiber. It enhanced the analysis efficiency of dissolved gases without water–gas separation or sample preparation. The feasibility of this sensor for direct measurement of dissolved gases was verified by taking the detection of dissolved ammonia as an example. With a sensing length of 5 mm and a consumption of ~50 µL, this sensor achieves a system response time of ~11 min and a minimum detection limit (MDL) of 0.015%. Possible strategies are discussed for further performance improvement in in-situ applications requiring fast and highly sensitive dissolved gas sensing. Full article
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21 pages, 8984 KiB  
Article
Multi-Modal Low-Data-Based Learning for Video Classification
by Erol Citak and Mine Elif Karsligil
Appl. Sci. 2024, 14(10), 4272; https://doi.org/10.3390/app14104272 (registering DOI) - 17 May 2024
Abstract
Video classification is a challenging task in computer vision that requires analyzing the content of a video to assign it to one or more predefined categories. However, due to the vast amount of visual data contained in videos, the classification process is often [...] Read more.
Video classification is a challenging task in computer vision that requires analyzing the content of a video to assign it to one or more predefined categories. However, due to the vast amount of visual data contained in videos, the classification process is often computationally expensive and requires a significant amount of annotated data. Because of these reasons, the low-data-based video classification area, which consists of few-shot and zero-shot tasks, is proposed as a potential solution to overcome traditional video classification-oriented challenges. However, existing low-data area datasets, which are either not diverse or have no additional modality context, which is a mandatory requirement for the zero-shot task, do not fulfill the requirements for few-shot and zero-shot tasks completely. To address this gap, in this paper, we propose a large-scale, general-purpose dataset for the problem of multi-modal low-data-based video classification. The dataset contains pairs of videos and attributes that capture multiple facets of the video content. Thus, the new proposed dataset will both enable the study of low-data-based video classification tasks and provide consistency in terms of comparing the evaluations of future studies in this field. Furthermore, to evaluate and provide a baseline for future works on our new proposed dataset, we present a variational autoencoder-based model that leverages the inherent correlation among different modalities to learn more informative representations. In addition, we introduce a regularization technique to improve the baseline model’s generalization performance in low-data scenarios. Our experimental results reveal that our proposed baseline model, with the aid of this regularization technique, achieves over 12% improvement in classification accuracy compared to the pure baseline model with only a single labeled sample. Full article
(This article belongs to the Special Issue Novel Research on Image and Video Processing Technology)
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10 pages, 1354 KiB  
Article
The Effect of Age and Comorbidities: Children vs. Adults in Their Response to SARS-CoV-2 Infection
by Girlande Mentor, Daniel S. Farrar, Costanza Di Chiara, Mi-Suk Kang Dufour, Silvie Valois, Suzanne Taillefer, Olivier Drouin, Christian Renaud and Fatima Kakkar
Viruses 2024, 16(5), 801; https://doi.org/10.3390/v16050801 (registering DOI) - 17 May 2024
Abstract
While children have experienced less severe coronavirus disease (COVID-19) after SARS-CoV-2 infection than adults, the cause of this remains unclear. The objective of this study was to describe the humoral immune response to COVID-19 in child vs. adult household contacts, and to identify [...] Read more.
While children have experienced less severe coronavirus disease (COVID-19) after SARS-CoV-2 infection than adults, the cause of this remains unclear. The objective of this study was to describe the humoral immune response to COVID-19 in child vs. adult household contacts, and to identify predictors of the response over time. In this prospective cohort study, children with a positive SARS-CoV-2 polymerase chain reaction (PCR) test (index case) were recruited along with their adult household contacts. Serum IgG antibodies against SARS-CoV-2 S1/S2 spike proteins were compared between children and adults at 6 and 12 months after infection. A total of 91 participants (37 adults and 54 children) from 36 families were enrolled. Overall, 78 (85.7%) participants were seropositive for anti-S1/S2 IgG antibody at 6 months following infection; this was higher in children than in adults (92.6% vs. 75.7%) (p = 0.05). Significant predictors of a lack of SARS-CoV-2 seropositivity were age ≥ 25 vs. < 12 years (odds ratio [OR] = 0.23, p = 0.04), presence of comorbidities (vs. none, adjusted OR = 0.23, p = 0.03), and immunosuppression (vs. immunocompetent, adjusted OR = 0.17, p = 0.02). Full article
(This article belongs to the Special Issue Aging and Comorbidities of COVID-19 2024)
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17 pages, 5206 KiB  
Article
Deficit Irrigation Effects on Cotton Growth Cycle and Preliminary Optimization of Irrigation Strategies in Arid Environment
by Meiwei Lin, Lei Wang, Gaoqiang Lv, Chen Gao, Yuhao Zhao, Xin Li, Liang He and Weihong Sun
Plants 2024, 13(10), 1403; https://doi.org/10.3390/plants13101403 (registering DOI) - 17 May 2024
Abstract
With the changing global climate, drought stress will pose a considerable challenge to the sustainable development of agriculture in arid regions. The objective of this study was to explore the resistance and water demand of cotton plants to water stress during the flowering [...] Read more.
With the changing global climate, drought stress will pose a considerable challenge to the sustainable development of agriculture in arid regions. The objective of this study was to explore the resistance and water demand of cotton plants to water stress during the flowering and boll setting stage. The experimental plot was in Huaxing Farm of Changji city. The plots were irrigated, respectively, at 100% (as the control), 90%, 85% and 80% of the general irrigation amount in the local area. The relationship between the various measured indexes and final yield under different deficit irrigation (DI) treatments was studied. The results showed that deficit irrigation impacted the growth and development processes of cotton during the flowering and boll setting stage. There was a high negative correlation (R2 > 0.95) between the maximum leaf area index and yield. Similarly, there was a high correlation between malondialdehyde content and yield. Meanwhile, 90% of the local cotton irrigation contributed to water saving and even increasing cotton yield. Furthermore, based on the results, the study made an initial optimization to the local irrigation scheme by utilizing the DSSAT model. It was found that changing the irrigation interval to 12 days during the stage could further enhance cotton yield and conserve resources. Full article
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17 pages, 1784 KiB  
Article
Robustness of Real-World Networks after Weight Thresholding with Strong Link Removal
by Jisha Mariyam John, Michele Bellingeri, Divya Sindhu Lekha, Davide Cassi and Roberto Alfieri
Mathematics 2024, 12(10), 1568; https://doi.org/10.3390/math12101568 (registering DOI) - 17 May 2024
Abstract
Weight thresholding (WT) is a method intended to decrease the number of links within weighted networks that may otherwise be excessively dense for network science applications. WT aims to remove links to simplify the network by holding most of the features [...] Read more.
Weight thresholding (WT) is a method intended to decrease the number of links within weighted networks that may otherwise be excessively dense for network science applications. WT aims to remove links to simplify the network by holding most of the features of the original network. Here, we test the robustness and the efficacy of the node attack strategies on real-world networks subjected to WT that remove links of higher weight (strong links). We measure the network robustness along node removal with the largest connected component (LCC). We find that the real-world networks under study are generally robust when subjected to WT. Nonetheless, WT with strong link removal changes the efficacy of the attack strategies and the rank of node centralities. Also, WT with strong link removal may trigger a more significant change in the node centrality rank than WT by removing weak links. Network science research with the aim to find important/influential nodes in the network has to consider that simplifying the network with WT methodologies may change the node centrality. Full article
(This article belongs to the Special Issue Big Data and Complex Networks)
12 pages, 799 KiB  
Article
Colostrum Lactoferrin Following Active and Recovered SARS-CoV-2 Infections during Pregnancy
by Paulina Gaweł, Błażej Łukianowski, Katarzyna Kościelska-Kasprzak, Dorota Bartoszek, Magdalena Krajewska and Barbara Królak-Olejnik
Biomedicines 2024, 12(5), 1120; https://doi.org/10.3390/biomedicines12051120 (registering DOI) - 17 May 2024
Abstract
Lactoferrin (Lf), which is particularly abundant in human breast milk during the early stages of lactation, provides protection against a variety of infections, including viral infections, and has demonstrated activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The objective of this study [...] Read more.
Lactoferrin (Lf), which is particularly abundant in human breast milk during the early stages of lactation, provides protection against a variety of infections, including viral infections, and has demonstrated activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The objective of this study was to measure the concentrations of Lf in the colostrum of mothers with active coronavirus disease 2019 (COVID-19) infections during delivery, in mothers with a history of COVID-19 during pregnancy, and in non-infected controls. In this cross-sectional study, colostrum samples from 41 lactating mothers with a confirmed history of SARS-CoV-2 infection (asymptomatic or symptomatic) (both active and past infections) were collected. Twenty-eight colostrum samples collected during the pre-pandemic period served as a control group. An enzyme-linked immunosorbent assay was performed to analyze the Lf concentrations. Concentrations of Lf in the colostrum samples were closely related to virus infection. Colostrum samples from mothers with confirmed SARS-CoV-2 infections contained higher concentrations of lactoferrin compared with samples from mothers from the control group. The highest concentrations of Lf were found in the colostrum samples of mothers with active SARS-CoV-2 infection during delivery when compared with the post-infection and control samples. This observed increase in lactoferrin suggests that it may be an important protective factor for breastfed infants, a finding which was particularly relevant during the pandemic period and remains relevant whenever a breastfeeding mother is infected. Full article
19 pages, 773 KiB  
Article
Chatbots in Airport Customer Service—Exploring Use Cases and Technology Acceptance
by Isabel Auer, Stephan Schlögl and Gundula Glowka
Future Internet 2024, 16(5), 175; https://doi.org/10.3390/fi16050175 (registering DOI) - 17 May 2024
Abstract
Throughout the last decade, chatbots have gained widespread adoption across various industries, including healthcare, education, business, e-commerce, and entertainment. These types of artificial, usually cloud-based, agents have also been used in airport customer service, although there has been limited research concerning travelers’ perspectives [...] Read more.
Throughout the last decade, chatbots have gained widespread adoption across various industries, including healthcare, education, business, e-commerce, and entertainment. These types of artificial, usually cloud-based, agents have also been used in airport customer service, although there has been limited research concerning travelers’ perspectives on this rather techno-centric approach to handling inquiries. Consequently, the goal of the presented study was to tackle this research gap and explore potential use cases for chatbots at airports, as well as investigate travelers’ acceptance of said technology. We employed an extended version of the Technology Acceptance Model considering Perceived Usefulness, Perceived Ease of Use, Trust, and Perceived Enjoyment as predictors of Behavioral Intention, with Affinity for Technology as a potential moderator. A total of n=191 travelers completed our survey. The results show that Perceived Usefulness, Trust, Perceived Ease of Use, and Perceived Enjoyment positively correlate with the Behavioral Intention to use a chatbot for airport customer service inquiries, with Perceived Usefulness showing the highest impact. Travelers’ Affinity for Technology, on the other hand, does not seem to have any significant effect. Full article
(This article belongs to the Section Big Data and Augmented Intelligence)
16 pages, 285 KiB  
Article
Best Proximity Point Results via Simulation Function with Application to Fuzzy Fractional Differential Equations
by Ghada Ali, Nawab Hussain and Abdelhamid Moussaoui
Symmetry 2024, 16(5), 627; https://doi.org/10.3390/sym16050627 (registering DOI) - 17 May 2024
Abstract
In this study, we prove the existence and uniqueness of a best proximity point in the setting of non-Archimedean modular metric spaces via the concept of simulation functions. A non-Archimedean metric modular is shaped as a parameterized family of classical metrics; therefore, for [...] Read more.
In this study, we prove the existence and uniqueness of a best proximity point in the setting of non-Archimedean modular metric spaces via the concept of simulation functions. A non-Archimedean metric modular is shaped as a parameterized family of classical metrics; therefore, for each value of the parameter, the positivity, the symmetry, the triangle inequality, or the continuity is ensured. Also, we demonstrate how analogous theorems in modular metric spaces may be used to generate the best proximity point results in triangular fuzzy metric spaces. The utility of our findings is further demonstrated by certain examples, illustrated consequences, and an application to fuzzy fractional differential equations. Full article
(This article belongs to the Special Issue Symmetry in Metric Spaces and Topology)
24 pages, 5255 KiB  
Article
Lithium-Ion Batteries (LIBs) Immersed in Fire Prevention Material for Fire Safety and Heat Management
by Junho Bae, Yunseok Choi and Youngsik Kim
Energies 2024, 17(10), 2418; https://doi.org/10.3390/en17102418 (registering DOI) - 17 May 2024
Abstract
Lithium-ion batteries (LIBs) have emerged as the most commercialized rechargeable battery technology. However, their inherent property, called thermal runaway, poses a high risk of fire. This article introduces the “Battery Immersed in Fire Prevention Material (BIF)”, the immersion-type battery in which all of [...] Read more.
Lithium-ion batteries (LIBs) have emerged as the most commercialized rechargeable battery technology. However, their inherent property, called thermal runaway, poses a high risk of fire. This article introduces the “Battery Immersed in Fire Prevention Material (BIF)”, the immersion-type battery in which all of the LIB cells are surrounded by a liquid agent. This structure and the agent enable active battery fire suppression under abusive conditions while facilitating improved thermal management during normal operation. Abuse tests involving a battery revealed that the LIB module experienced fire, explosions, and burnouts with the target cell reaching temperatures of 1405 °C and the side reaching 796 °C. Conversely, the BIF module exhibited a complete lack of fire propagation, with temperatures lower than those of LIBs, particularly 285 and 17 °C, respectively. Under normal operating conditions, the BIF module exhibited an average temperature rise ~8.6 times lower than that of a normal LIB. Furthermore, it reduced the uneven thermal deviation between the cells by ~5.3 times more than LIB. This study provides a detailed exploration of the BIF and covers everything from components to practical applications. With further improvements, this technology can significantly enhance fire safety and prevent the thermal degradation of batteries in the real world. Full article
(This article belongs to the Special Issue Advances in Battery Energy Storage Systems)
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19 pages, 1010 KiB  
Review
Recent Advances in Magnesium–Magnesium Oxide Nanoparticle Composites for Biomedical Applications
by Abbas Saberi, Madalina Simona Baltatu and Petrica Vizureanu
Bioengineering 2024, 11(5), 508; https://doi.org/10.3390/bioengineering11050508 (registering DOI) - 17 May 2024
Abstract
Magnesium (Mg) is considered an attractive option for orthopedic applications due to its density and elastic modulus close to the natural bone of the body, as well as biodegradability and good tensile strength. However, it faces serious challenges, including a high degradation rate [...] Read more.
Magnesium (Mg) is considered an attractive option for orthopedic applications due to its density and elastic modulus close to the natural bone of the body, as well as biodegradability and good tensile strength. However, it faces serious challenges, including a high degradation rate and, as a result, a loss of mechanical properties during long periods of exposure to the biological environment. Also, among its other weaknesses, it can be mentioned that it does not deal with bacterial biofilms. It has been found that making composites by synergizing its various components can be an efficient way to improve its properties. Among metal oxide nanoparticles, magnesium oxide nanoparticles (MgO NPs) have distinct physicochemical and biological properties, including biocompatibility, biodegradability, high bioactivity, significant antibacterial properties, and good mechanical properties, which make it a good choice as a reinforcement in composites. However, the lack of comprehensive understanding of the effectiveness of Mg NPs as Mg matrix reinforcements in mechanical, corrosion, and biological fields is considered a challenge in their application. While introducing the role of MgO NPs in medical fields, this article summarizes the most important results of recent research on the mechanical, corrosion, and biological performance of Mg/MgO composites. Full article
(This article belongs to the Special Issue Recent Prospects on Functional Biomaterials)
14 pages, 539 KiB  
Article
Arterial Stiffness Is an Important Predictor of Heart Failure with Preserved Ejection Fraction (HFpEF)—The Effects of Phosphate Retention
by Yuji Mizuno, Toshifumi Ishida, Kenichi Tsujita and Michihiro Yoshimura
Hearts 2024, 5(2), 211-224; https://doi.org/10.3390/hearts5020014 (registering DOI) - 17 May 2024
Abstract
Heart failure with preserved ejection fraction (HFpEF) is a major health concern. There is a growing recognition of the causal interplay between arterial stiffness and HFpEF. We recently reported that phosphate retention is a trigger for arterial stiffness. This study focuses on whether [...] Read more.
Heart failure with preserved ejection fraction (HFpEF) is a major health concern. There is a growing recognition of the causal interplay between arterial stiffness and HFpEF. We recently reported that phosphate retention is a trigger for arterial stiffness. This study focuses on whether arterial stiffness due to phosphate retention could be a predictor for HFpEF. Methods: The subjects of this study were 158 patients (68 males and 90 females, mean age 74.8 ± 11.2). HFpEF was defined according to the guidelines of the ESC 2019. Pulse wave velocity (PWV) and central systolic blood pressure (CSBP) were used as markers for arterial stiffness and afterload, respectively. We measured serum levels of fibroblast growth factor 23 (FGF23) as a marker of phosphate retention. Results: The serum levels of FGF23 had a significant relationship with PWV. PWV had significant relationships with LV mass index, plasma BNP levels, and relative wall thickness, e’, and E/e’ (p < 0.001, respectively). Multivariate logistic regression analysis revealed that higher PWV values and hypertension were significant predictors for the dependent factor (HFpEF). Arterial stiffness amplified afterload, leading to LV concentric hypertrophy and diastolic dysfunction. This study presents that arterial stiffness is a key predictor of HFpEF, and that phosphate retention is involved in the pathology of HFpEF. Full article
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21 pages, 562 KiB  
Article
How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate
by Syed Asad Abbas Bokhari and Myeong Seunghwan
Sustainability 2024, 16(10), 4246; https://doi.org/10.3390/su16104246 (registering DOI) - 17 May 2024
Abstract
Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional [...] Read more.
Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional and technological innovation serve a role that moderates the relationships between smart city governance, stakeholder satisfaction, and crime rate. Multiple regression models were developed by surveying 496 Pakistani citizens with a questionnaire. Using stakeholders and innovation theories, analyzing the relationships between smart governance, stakeholder satisfaction, and city crime rates reveals a moderating role of institutional and technological innovation. The findings showed that institutional and technological innovations have strengthened the stakeholder satisfaction level while weakening the crime rate in a smart city. Full article
22 pages, 3353 KiB  
Article
Enhancing Water Purification by Integrating Titanium Dioxide Nanotubes into Polyethersulfone Membranes for Improved Hydrophilicity and Anti-Fouling Performance
by Ayesha Bilal, Muhammad Yasin, Faheem Hassan Akhtar, Mazhar Amjad Gilani, Hamad Alhmohamadi, Mohammad Younas, Azeem Mushtaq, Muhammad Aslam, Mehdi Hassan, Rab Nawaz, Aqsha Aqsha, Jaka Sunarso, Muhammad Roil Bilad and Asim Laeeq Khan
Membranes 2024, 14(5), 116; https://doi.org/10.3390/membranes14050116 (registering DOI) - 17 May 2024
Abstract
Water pollution remains a critical concern, one necessitated by rapidly increasing industrialization and urbanization. Among the various strategies for water purification, membrane technology stands out, with polyethersulfone (PES) often being the material of choice due to its robust mechanical properties, thermal stability, and [...] Read more.
Water pollution remains a critical concern, one necessitated by rapidly increasing industrialization and urbanization. Among the various strategies for water purification, membrane technology stands out, with polyethersulfone (PES) often being the material of choice due to its robust mechanical properties, thermal stability, and chemical resistance. However, PES-based membranes tend to exhibit low hydrophilicity, leading to reduced flux and poor anti-fouling performance. This study addresses these limitations by incorporating titanium dioxide nanotubes (TiO2NTs) into PES nanofiltration membranes to enhance their hydrophilic properties. The TiO2NTs, characterized through FTIR, XRD, BET, and SEM, were embedded in PES at varying concentrations using a non-solvent induced phase inversion (NIPS) method. The fabricated mixed matrix membranes (MMMs) were subjected to testing for water permeability and solute rejection capabilities. Remarkably, membranes with a 1 wt.% TiO2NT loading displayed a significant increase in pure water flux, from 36 to 72 L m2 h−1 bar−1, a 300-fold increase in selectivity compared to the pristine sample, and a dye rejection of 99%. Furthermore, long-term stability tests showed only a slight reduction in permeate flux over a time of 36 h, while dye removal efficiency was maintained, thus confirming the membrane’s stability. Anti-fouling tests revealed a 93% flux recovery ratio, indicating excellent resistance to fouling. These results suggest that the inclusion of TiO2 NTs offers a promising avenue for the development of efficient and stable anti-fouling PES-based membranes for water purification. Full article
(This article belongs to the Special Issue Membrane-Based Technologies for Water/Wastewater Treatment)
43 pages, 1334 KiB  
Review
Combined Lifestyle Interventions in the Prevention and Management of Asthma and COPD: A Systematic Review
by Charlotte D. C. Born, Rohini Bhadra, George D’Souza, Stef P. J. Kremers, Sucharita Sambashivaiah, Annemie M. W. J. Schols, Rik Crutzen and Rosanne J. H. C. G. Beijers
Nutrients 2024, 16(10), 1515; https://doi.org/10.3390/nu16101515 (registering DOI) - 17 May 2024
Abstract
(1) Background: A healthy lifestyle has a protective role against the onset and management of asthma and chronic obstructive pulmonary disease (COPD). Therefore, combined lifestyle interventions (CLIs) are a potentially valuable prevention approach. This review aims to provide an overview of existing CLIs [...] Read more.
(1) Background: A healthy lifestyle has a protective role against the onset and management of asthma and chronic obstructive pulmonary disease (COPD). Therefore, combined lifestyle interventions (CLIs) are a potentially valuable prevention approach. This review aims to provide an overview of existing CLIs for the prevention and management of asthma or COPD. (2) Methods: A systematic literature search was conducted using PubMed, EMBASE, and PsycInfo. Studies were included if CLIs targeted at least two lifestyle factors. (3) Results: Among the 56 included studies, 9 addressed asthma and 47 addressed COPD management, with no studies focusing on prevention. For both conditions, the most prevalent combination of lifestyle targets was diet and physical activity (PA), often combined with smoking cessation in COPD. The studied CLIs led to improvements in quality of life, respiratory symptoms, body mass index/weight, and exercise capacity. Behavioural changes were only measured in a limited number of studies and mainly showed improvements in dietary intake and PA level. (4) Conclusions: CLIs are effective within asthma and COPD management. Next to optimising the content and implementation of CLIs, these positive results warrant paying more attention to CLIs for persons with an increased risk profile for these chronic respiratory diseases. Full article
(This article belongs to the Special Issue Nutrition and Lung Disease)
24 pages, 1427 KiB  
Article
Eco-Friendly Inorganic Binders: A Key Alternative for Reducing Harmful Emissions in Molding and Core-Making Technologies
by Angelika Kmita, Rafał Dańko, Mariusz Holtzer, Józef Dańko, Dariusz Drożyński, Mateusz Skrzyński, Agnieszka Roczniak, Daniel Robert Gruszka, Jarosław Jakubski and Sara Tapola
Int. J. Mol. Sci. 2024, 25(10), 5496; https://doi.org/10.3390/ijms25105496 (registering DOI) - 17 May 2024
Abstract
Many years of foundry practice and much more accurate analytical methods have shown that sands with organic binders, in addition to their many technological advantages, pose risks associated with the emission of many compounds, including harmful ones (e.g., formaldehyde, phenol, benzene, polycyclic aromatic [...] Read more.
Many years of foundry practice and much more accurate analytical methods have shown that sands with organic binders, in addition to their many technological advantages, pose risks associated with the emission of many compounds, including harmful ones (e.g., formaldehyde, phenol, benzene, polycyclic aromatic hydrocarbons, and sulfur), arising during the pouring of liquid casting alloys into molds, their cooling, and knock-out. The aim of this research is to demonstrate the potential benefits of adopting inorganic binders in European iron foundries. This will improve the environmental and working conditions by introducing cleaner and more ecological production methods, while also ranking the tested binders studied in terms of their harmful content. The article pays special attention to the analysis of seven innovative inorganic binders and one organic binder, acting as a reference for emissions of gases from the BTEX (benzene, toluene, ethylbenzene, and xylenes) and PAHs (polycyclic aromatic hydrocarbons) groups and other compounds such as phenol, formaldehyde, and isocyanates (MDI and TDI) generated during the mold pouring process with liquid metals. The knowledge gained will, for the first time, enrich the database needed to update the Reference Document on The Best Available Techniques for the Smitheries and Foundries Industry (SF BREF). Full article
19 pages, 1224 KiB  
Article
The Impacts of Planting Patterns Combined with Irrigation Management Practices on Watermelon Growth, Photosynthesis, and Yield
by Xiaolin Qiang, Zhaojun Sun, Xingqiang Li, Siqi Li, Zhao Yu, Jun He, Qian Li, Lei Han and Ling He
Plants 2024, 13(10), 1402; https://doi.org/10.3390/plants13101402 (registering DOI) - 17 May 2024
Abstract
(1) Background: Crop yields in China’s arid and semi-arid regions are limited by water shortages. Exploring the interactions and resource utilization among agroforestry species is key to maintaining diversified agricultural production. (2) Objective: An apple–watermelon agroforestry system and watermelon sole-cropping system were [...] Read more.
(1) Background: Crop yields in China’s arid and semi-arid regions are limited by water shortages. Exploring the interactions and resource utilization among agroforestry species is key to maintaining diversified agricultural production. (2) Objective: An apple–watermelon agroforestry system and watermelon sole-cropping system were compared to quantify how resource availability (light, water) and watermelon performance (leaf photosynthetic rate, growth, and yield) change with irrigation strategies. (3) Methods: A three-year apple and watermelon field experiment was conducted in a young apple orchard in the arid area of central Ningxia to test the effect of light competition and irrigation systems on light environment, leaf photosynthetic rate, plant growth, and yield in watermelon. The experiment encompassed two planting patterns: (i) apple–watermelon agroforestry (AF) and watermelon sole-cropping (SC) and (ii) three irrigation quotas (W1: 105 mm, W2: 210 mm, and W3: 315 mm). (4) Results: The results show that the agroforestry planting pattern extended the growth period of watermelon and increased the leaf area index. Mean daily shade intensity increased by 16.02% from 2020 to 2022. The land equivalent ratio (LER) was > 1 in 2021 and 2022. The SWC, leaf photosynthetic rate, LAI, and yield of watermelon in an agroforestry planting pattern were lower than when in a sole-cropping planting pattern. However, under the W1 irrigation strategy, the total soluble solids of the agroforestry planting pattern were 2.27% higher than those of the sole-cropping pattern, and the yield of the agroforestry planting pattern was 2.59% higher than that of the sole-cropping pattern. Under the W3 irrigation strategy, the average watermelon weight in the agroforestry planting pattern was 2.85% higher than that of the sole-cropping pattern. A path analysis showed that the agroforestry planting pattern can increase the yield by increasing soil water content, which is different from the sole-cropping pattern. (5) Conclusions: The results confirm that the apple–watermelon agroforestry planting pattern reduced watermelon yields. However, the LER of the agroforestry system was greater than 1.0. It is reasonable to plant watermelons in young apple forests. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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16 pages, 715 KiB  
Article
Fractionation of Inorganic Phosphorus in Cold Temperate Forest Soils: Associating Mechanisms of Soil Aggregate Protection and Recovery Periods after Forest Fire Disturbance
by Bing Wang, Ruihua Li, Zihao Wang and Rula Sa
Forests 2024, 15(5), 875; https://doi.org/10.3390/f15050875 (registering DOI) - 17 May 2024
Abstract
The soil aggregate is the fundamental unit of soil structure. The fractionation characteristics and influencing factors of phosphorus (P) in soil aggregates inherently link its geochemical characteristics and recycling mechanism. This work investigated the fractionation characteristics of inorganic P in cold temperate forest [...] Read more.
The soil aggregate is the fundamental unit of soil structure. The fractionation characteristics and influencing factors of phosphorus (P) in soil aggregates inherently link its geochemical characteristics and recycling mechanism. This work investigated the fractionation characteristics of inorganic P in cold temperate forest soils and studied the impacts of recovery periods after forest fires and soil aggregate protection mechanisms on P fractionation. Our results showed that the TP, active P, stable P, and total organic carbon (TOC) contents varied with increasing recovery years after forest fire disturbance. The TP content in the coarse particulate organic matter fraction (cPOM) exhibited an increasing trend with the number of recovery years. Redundancy analysis (RDA) and correlation analysis indicated that TOC played a crucial role in influencing the dynamics of P fractionation during the recovery process. The order of TP levels in different soil aggregate fractions was as follows: μClay > dClay > LF > cPOM > dSilt > μSilt > iPOM, with significant contributions from the cPOM and dSilt fractions. The ranking of P fractions in bulk soils was as follows: ACa-P > Fe-P > Oc-P > Or-P > De-P > Al-P > Ex-P. The protective mechanism of soil aggregates had a more significant effect on TOC than TP, with the order of protective abilities being: Phy×biochem-protected > Biochem-protected > Phy-protected > Non-protected mechanism. TOC and recovery years emerged as critical factors influencing the dynamics of different P fractions during post-fire recovery. Soil aggregate protection mechanisms demonstrated significantly higher effects on TOC than on TP. This study provides insights into the fractionation mechanisms of P in the soil–forest ecosystem of the Greater Khingan Mountains, contributing to the sustainable development and utilization of cold temperate forest ecosystems. Full article
(This article belongs to the Section Forest Soil)
21 pages, 609 KiB  
Article
Exploring Climate-Induced Agricultural Risk in Saudi Arabia: Evidence from Farming Communities of Medina Region
by Bader Alhafi Alotaibi, Weizhou Xu, Ashfaq Ahmad Shah and Wahid Ullah
Sustainability 2024, 16(10), 4245; https://doi.org/10.3390/su16104245 (registering DOI) - 17 May 2024
Abstract
Agriculture is vital to the Saudi Arabian economy since it provides food and other necessities to people living in rural areas, as well as those living in adjacent cities. Notwithstanding its considerable economic importance, the agricultural sector is confronted with formidable obstacles due [...] Read more.
Agriculture is vital to the Saudi Arabian economy since it provides food and other necessities to people living in rural areas, as well as those living in adjacent cities. Notwithstanding its considerable economic importance, the agricultural sector is confronted with formidable obstacles due to climate change, such as elevated temperatures, floods, extreme droughts, and decreased agricultural yields. Building a farming system capable of being climate resilient requires the comprehension of the vulnerabilities of farm households and related systems. This paper deals with the potential agricultural risks resulting from climate change in Saudi Arabia. In addition to concentrating on precipitation and temperature, the present research incorporates the three main components of the Climate Change Vulnerability Index (CCVI): sensitivity, exposure, and adaptive capability. The results of this research reveal a notable challenge that farmers in Saudi Arabia encounter, as they are very susceptible to the impacts of climate change. The Climate Change Vulnerability Index (CCVI) has a score of 0.730, signifying a substantial degree of vulnerability. The farmers in this region are very susceptible to uncertainties caused by climate change, as indicated by the significant exposure score of 0.725. This exposure comprises a wide range of concerns resulting from fluctuations in temperature, patterns of rainfall, and occurrences of severe weather, all of which have an immediate and negative effect on agriculture. Farmers in that region are more susceptible to the effects of climate change, which could jeopardize their livelihoods and agricultural operations, as shown by the susceptibility component (SVI) of 0.559. Moreover, the adaptive capacity (AVI) score of 0.567 highlights the fact that farmers have limited access to resources, skills, and experience, hindering their ability to tackle the challenges that have been caused by climate change in this region successfully. The results emphasize the immediate necessity for specific policies and assistance to enhance the resilience of agricultural communities in the area, as well as to mitigate the potential adverse effects of climate change on their livelihoods. Full article
14 pages, 6983 KiB  
Article
Investigation of the Shear Mechanism at Sand-Concrete Interface under the Influence of the Concave Groove Angle of the Contact Surface
by Zhigang Meng, Yunsong Li, Huanhuan Li, Songlin Shen and Haijiang Zhang
Buildings 2024, 14(5), 1452; https://doi.org/10.3390/buildings14051452 - 17 May 2024
Abstract
A “random-type” sand–concrete interface shear test was developed based on the sand cone method, with a focus on the most commonly encountered triangular contact surface morphology. A “regular-type” triangular interface, matched in roughness to the “random-type”, was meticulously designed. This “regular-type” interface features [...] Read more.
A “random-type” sand–concrete interface shear test was developed based on the sand cone method, with a focus on the most commonly encountered triangular contact surface morphology. A “regular-type” triangular interface, matched in roughness to the “random-type”, was meticulously designed. This “regular-type” interface features five distinct triangular groove inclinations: 18°, 33°, 50°, 70°, and 90°. A series of sand–concrete interface direct shear tests were conducted under consistent compaction conditions to investigate the impact of varying compaction densities and triangular groove inclinations on the shear strength at the interface. Particle flow simulations were utilized to examine the morphology of the shear band and the characteristics of particle migration influenced by the triangular contact surface. This analysis is aimed at elucidating the influence of the inclination of the triangular groove on the shear failure mechanism at the sand–concrete interface. The findings indicate that: (1) The morphology of the interface significantly impacts the shear strength of the sand–concrete interface, while the shape of the stress-displacement curve experiences minimal alteration. (2) At smaller inclination angles, particle contact forces are arranged in a wave-like configuration around the sawtooth tip, resulting in a non-uniform stress distribution along the sawtooth slope. However, as the inclination angle grows, the stress concentration at the sawtooth tip diminishes, and the stress distribution across the sawtooth slope becomes more consistent. (3) Particle migration is significantly influenced by the sawtooth’s inclination angle. At lower angles, particles climb the structure’s tip through sliding and rolling. As the angle increases, particle motion shifts to shear, accompanied by a transition in friction from surface friction to internal shear friction. This leads to the formation of a wider shear band and an increase in shear strength. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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16 pages, 1466 KiB  
Article
Glycolysis and Automated Plaque Regrowth Method for Evaluation of Antimicrobial Performance
by Robert L. Karlinsey and Tamara R. Karlinsey
Dent. J. 2024, 12(5), 146; https://doi.org/10.3390/dj12050146 - 17 May 2024
Abstract
Purpose: This study explored the potential of a new in vitro method in evaluating antiplaque benefits from five sets of antimicrobial systems including cetylpyridinium chloride (CPC), stannous fluoride (SnF2), Listerine essential oil mouthwashes (+/− alcohol), zinc chloride (ZnCl2), and [...] Read more.
Purpose: This study explored the potential of a new in vitro method in evaluating antiplaque benefits from five sets of antimicrobial systems including cetylpyridinium chloride (CPC), stannous fluoride (SnF2), Listerine essential oil mouthwashes (+/− alcohol), zinc chloride (ZnCl2), and sodium fluoride. (NaF). Methods: Gingival dental plaque was collected and propagated using sterilized tryptic soy broth and sucrose, and then allocated into separate glycolysis and regrowth recipes for antiplaque evaluations. Glycolysis measurements (in duplicate) were recorded via pH microelectrode on plaque-treatment samples thermomixed (1200 rpm, 37 °C) for 4 h. For plaque regrowth, optical densities (in duplicate) were automatically collected on plaque-treatment samples using a microplate reader (linear shaking, 37 °C) from baseline to 4 h. Results: Calculations of percent change in pH and optical density were performed and analyzed for each set of antimicrobial treatment groups. Statistical analysis (one-way ANOVA, Student–Newman–Keuls stepwise comparison tests) revealed dose responses and significant differences (p < 0.05) among treatment groups, including between negative and clinically relevant positive controls. Conclusions: This lab method produces results consistent with published clinical observations. This glycolysis and plaque growth method is sensitive to antimicrobial mechanisms of action, and may offer a convenient and clinically relevant screening tool in the evaluation of putative antimicrobial agents and formulations. Full article
(This article belongs to the Special Issue Preventive Dentistry and Dental Public Health)
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13 pages, 2691 KiB  
Article
Rosuvastatin Intervention in Patients with Chronic Hepatitis B (CHB) Expands CD14+ CD16− Classical Monocytes via Aryl Hydrocarbon Receptor (AHR)
by Mina Rahmati, Mojtaba Zare Ebrahimabad, Alale Langari, Ali Najafi, Shohreh Taziki, Alireza Norouzi, Mehrdad Teimoorian, Milad Khorasani and Saeed Mohammadi
Immuno 2024, 4(2), 159-171; https://doi.org/10.3390/immuno4020011 - 17 May 2024
Abstract
Chronic hepatitis B (CHB) poses treatment challenges, with treatment response and disease outcome often determined by the immune response, particularly mononuclear phagocytes. Monocytes can differentiate into various subpopulations influenced by AHR. Statins, known for inflammation modulation, may impact monocyte function via AHR activation. [...] Read more.
Chronic hepatitis B (CHB) poses treatment challenges, with treatment response and disease outcome often determined by the immune response, particularly mononuclear phagocytes. Monocytes can differentiate into various subpopulations influenced by AHR. Statins, known for inflammation modulation, may impact monocyte function via AHR activation. This study explored rosuvastatin (RSV)’s effects on monocyte subtypes, inflammatory markers, and AHR in CHB patients. Fifteen CHB patients were randomly assigned to receive either 20 mg RSV or a placebo daily for three months. Flow cytometry assessed CD14+ CD16− (classical), CD14+ CD16+ (intermediate), and CD14dim CD16+ (patrolling) monocyte subtypes, along with AHR levels in each subset. ELISA quantified cytokines IL-6, IFN-γ, IL-12, IL-10, TNF-α, TGF-β, and IL-1β. RSV expanded CD14+ CD16− classical and reduced CD14+ CD16+ intermediate monocytes in CHB patients while increasing AHR+ cell percentages in all subsets. RSV treatment upregulated key AHR target genes (Cyp1a1, Cyp1b1, and ARNT), indicating robust AHR signaling activation. It also reduced pro-inflammatory cytokine levels (IL-6, IFNγ, IL-12, TNF-α) and elevated anti-inflammatory cytokines (IL-10, TGF-β). Thus, RSV may modulate the immune response by altering monocyte subtypes in CHB patients via AHR activation. Full article
(This article belongs to the Section Innate Immunity and Inflammation)
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12 pages, 845 KiB  
Article
Sensitivity Assessment of a Multiplex and Real-Time PCR Protocols for the Detection of Malaria in External Quality Control Samples in the Malaria Reference Center in Greece
by Nikolaos Tegos, Christos Goumenopoulos, Anastasia Mpimpa, Vasilios Papavasilopoulos, Stavroula Beleri and Eleni Patsoula
Parasitologia 2024, 4(2), 150-161; https://doi.org/10.3390/parasitologia4020013 - 17 May 2024
Abstract
Background: Accurate malaria diagnosis constitutes a challenging task, necessitating the need for the implementation of targeted and effective diagnostic tools. The purpose of the current study was to evaluate the effectiveness of two different molecular methodologies in terms of sensitivity for the detection [...] Read more.
Background: Accurate malaria diagnosis constitutes a challenging task, necessitating the need for the implementation of targeted and effective diagnostic tools. The purpose of the current study was to evaluate the effectiveness of two different molecular methodologies in terms of sensitivity for the detection of External Quality Assessment (EQA) Plasmodium samples. Methods: A total of 104 lyophilized blood samples from 14 different UK-NEQAS (National External Quality Assessment Site) (2016–2021) and eight WHO-NEQAS distributions (2017–2020) were analyzed. An in-house multiplex PCR protocol, followed by single target real-time PCR protocols for all five Plasmodium species, was implemented. Results: The multiplex PCR had a success rate of 10/16 and 20/28 for P. vivax and P. falciparum species, respectively. On the other hand, the respective results for real-time PCR had a success rate of 13/16 (P. vivax), 28/28 (P. falciparum), 5/8 (P. malariae), 8/10 (P. ovale), and 10/14 (P. knowlesi). Plasmodium falciparum samples displayed the highest sensitivity of detection, 0.02 parasites/μL. Plasmodium vivax samples displayed a 0.1 parasites/μL cutoff value, greater than the respective value for whole blood samples, while P. ovale species displayed a respective cutoff value of 0.05 parasites/μL. Due to the limited number of tested samples, data obtained for P. malariae and P. knowlesi species samples were inconclusive. Conclusions: Real-time PCR comprises a credible molecular methodology in terms of sensitivity assessment and detection of low parasitemia levels of Plasmodium sp. in EQA lyophilized blood samples. Full article
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17 pages, 2333 KiB  
Article
Abundance, Characterization and Diversity of Culturable Anoxygenic Phototrophic Bacteria in Manitoban Marshlands
by Katia Messner and Vladimir Yurkov
Microorganisms 2024, 12(5), 1007; https://doi.org/10.3390/microorganisms12051007 - 17 May 2024
Abstract
Marshes are an important ecosystem, acting as a biodiversity hotspot, a carbon sink and a bioremediation site, breaking down anthropogenic waste such as antibiotics, metals and fertilizers. Due to their participation in these metabolic activities and their capability to contribute to primary productivity, [...] Read more.
Marshes are an important ecosystem, acting as a biodiversity hotspot, a carbon sink and a bioremediation site, breaking down anthropogenic waste such as antibiotics, metals and fertilizers. Due to their participation in these metabolic activities and their capability to contribute to primary productivity, the microorganisms in such habitats have become of interest to investigate. Since Proteobacteria were previously found to be abundant and the waters are well aerated and organic-rich, this study on the presence of anoxygenic phototrophic bacteria, purple non-sulfur bacteria and aerobic anoxygenic phototrophs in marshes was initiated. One sample was collected at each of the seven Manitoban sites, and anoxygenic phototrophs were cultivated and enumerated. A group of 14 strains, which represented the phylogenetic diversity of the isolates, was physiologically investigated further. Aerobic anoxygenic phototrophs and purple non-sulfur bacteria were present at each location, and they belonged to the α- and β-Proteobacteria subphyla. Some were closely related to known heavy metal reducers (Brevundimonas) and xenobiotic decomposers (Novosphingobium and Sphingomonas). All were able to synthesize the photosynthetic complexes aerobically. This research highlights the diversity of and the potential contributions that anoxygenic phototrophs make to the essential functions taking place in wetlands. Full article
(This article belongs to the Section Environmental Microbiology)
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