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33 pages, 10616 KiB  
Article
Theoretical and Experimental Analysis of Hydroxyl and Epoxy Group Effects on Graphene Oxide Properties
by Ximena Jaramillo-Fierro and Guisella Cuenca
Nanomaterials 2024, 14(8), 714; https://doi.org/10.3390/nano14080714 (registering DOI) - 19 Apr 2024
Abstract
In this study, we analyzed the impact of hydroxyl and epoxy groups on the properties of graphene oxide (GO) for the adsorption of methylene blue (MB) dye from water, addressing the urgent need for effective water purification methods due to industrial pollution. Employing [...] Read more.
In this study, we analyzed the impact of hydroxyl and epoxy groups on the properties of graphene oxide (GO) for the adsorption of methylene blue (MB) dye from water, addressing the urgent need for effective water purification methods due to industrial pollution. Employing a dual approach, we integrated experimental techniques with theoretical modeling via density functional theory (DFT) to examine the atomic structure of GO and its adsorption capabilities. The methodology encompasses a series of experiments to evaluate the performance of GO in MB dye adsorption under different conditions, including differences in pH, dye concentration, reaction temperature, and contact time, providing a comprehensive view of its effectiveness. Theoretical DFT calculations provide insights into how hydroxyl and epoxy modifications alter the electronic properties of GO, improving adsorption efficiency. The results demonstrate a significant improvement in the dye adsorption capacity of GO, attributed to the interaction between the functional groups and MB molecules. This study not only confirms the potential of GO as a superior adsorbent for water treatment, but also contributes to the optimization of GO-based materials for environmental remediation, highlighting the synergy between experimental observations and theoretical predictions in advances in materials science to improve sustainability. Full article
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15 pages, 881 KiB  
Article
Effectiveness of Partially Hydrolyzed Guar Gum on Cognitive Function and Sleep Efficiency in Healthy Elderly Subjects in a Randomized, Double-Blind, Placebo-Controlled, and Parallel-Group Study
by Aya Abe, Mahendra Parkash Kapoor, So Morishima, Makoto Ozeki, Norio Sato, Tsuyoshi Takara and Yuji Naito
Nutrients 2024, 16(8), 1211; https://doi.org/10.3390/nu16081211 (registering DOI) - 19 Apr 2024
Abstract
The consumption of functional foods in a daily diet is a promising approach for the maintenance of cognitive health. The present study examines the effects of water-soluble prebiotic dietary-fiber, partially hydrolyzed guar gum (PHGG), on cognitive function and mental health in healthy elderly [...] Read more.
The consumption of functional foods in a daily diet is a promising approach for the maintenance of cognitive health. The present study examines the effects of water-soluble prebiotic dietary-fiber, partially hydrolyzed guar gum (PHGG), on cognitive function and mental health in healthy elderly individuals. Participants consumed either 5 g/day of PHGG or a placebo daily for 12 weeks in this randomized, double-blind, placebo-controlled, and parallel-group study. An assessment of cognitive functions, sleep quality, and subjective mood evaluations was performed at baseline and after 8 and 12 weeks of either PHGG or placebo intake. The visual memory scores in cognitive function tests and sleepiness on rising scores related to sleep quality were significantly improved in the PHGG group compared to the placebo group. No significant differences were observed in mood parameters between the groups. Vigor–activity scores were significantly improved, while the scores for Confusion–Bewilderment decreased significantly in the PHGG group when compared to the baseline. In summary, supplementation with PHGG was effective in improving cognitive functions, particularly visual memory, as well as enhancing sleep quality and vitality in healthy elderly individuals (UMIN000049070). Full article
(This article belongs to the Section Prebiotics and Probiotics)
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11 pages, 3307 KiB  
Article
Open-Cell Spray Polyurethane Foams Based on Biopolyols from Fruit Seed Oils
by Maria Kurańska, Elżbieta Malewska, Hubert Ożóg, Julia Sędzimir, Aleksandra Put, Natalia Kowalik, Sławomir Michałowski, Marcin Zemła, Michał Kucała and Aleksander Prociak
Polymers 2024, 16(8), 1145; https://doi.org/10.3390/polym16081145 (registering DOI) - 19 Apr 2024
Abstract
Natural oils from watermelon, cherry, black currant, grape and pomegranate fruit seeds were applied in the synthesis of biopolyols using the transesterification reaction. In this manuscript, the preparation possibility of open-cell foams from a polyurethane system in which petrochemical polyol was fully replaced [...] Read more.
Natural oils from watermelon, cherry, black currant, grape and pomegranate fruit seeds were applied in the synthesis of biopolyols using the transesterification reaction. In this manuscript, the preparation possibility of open-cell foams from a polyurethane system in which petrochemical polyol was fully replaced with biopolyols is analyzed. Firstly, polyurethane foam systems were developed on a laboratory scale, and they were next tested under industrial conditions. It was shown that the foaming method has a significant impact on the foaming process and the cell structure of obtained foams as well as their thermal insulation properties. Based on the conducted research, it was found that the method of processing the polyurethane system has a significant impact on the properties of open-cell spray foams. Foams produced under industrial conditions have a much higher cell density, which has a positive effect on their selected physical–mechanical properties compared to foams produced on a laboratory scale. The open-cell biofoams obtained using a high-pressure machine had apparent densities 12–17 kg/m3, thermal conductivity coefficients 35–37 mW/m·K, closed-cell contents < 10% and were dimensionally stable at low and high temperatures. Full article
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21 pages, 9265 KiB  
Article
Binding Mechanism of Inhibitors to BRD4 and BRD9 Decoded by Multiple Independent Molecular Dynamics Simulations and Deep Learning
by Jian Wang, Wanchun Yang, Lu Zhao, Benzheng Wei and Jianzhong Chen
Molecules 2024, 29(8), 1857; https://doi.org/10.3390/molecules29081857 (registering DOI) - 19 Apr 2024
Abstract
Bromodomain 4 and 9 (BRD4 and BRD9) have been regarded as important targets of drug designs in regard to the treatment of multiple diseases. In our current study, molecular dynamics (MD) simulations, deep learning (DL) and binding free energy calculations are integrated to [...] Read more.
Bromodomain 4 and 9 (BRD4 and BRD9) have been regarded as important targets of drug designs in regard to the treatment of multiple diseases. In our current study, molecular dynamics (MD) simulations, deep learning (DL) and binding free energy calculations are integrated to probe the binding modes of three inhibitors (H1B, JQ1 and TVU) to BRD4 and BRD9. The MD trajectory-based DL successfully identify significant functional function domains, such as BC-loop and ZA-loop. The information from the post-processing analysis of MD simulations indicates that inhibitor binding highly influences the structural flexibility and dynamic behavior of BRD4 and BRD9. The results of the MM-GBSA calculations not only suggest that the binding ability of H1B, JQ1 and TVU to BRD9 are stronger than to BRD4, but they also verify that van der Walls interactions are the primary forces responsible for inhibitor binding. The hot spots of BRD4 and BRD9 revealed by residue-based free energy estimation provide target sites of drug design in regard to BRD4 and BRD9. This work is anticipated to provide useful theoretical aids for the development of selective inhibitors over BRD family members. Full article
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12 pages, 738 KiB  
Review
A Systematic Review of Bone Bruise Patterns following Acute Anterior Cruciate Ligament Tears: Insights into the Mechanism of Injury
by Sueen Sohn, Saad Mohammed AlShammari, Byung Jun Hwang and Man Soo Kim
Bioengineering 2024, 11(4), 396; https://doi.org/10.3390/bioengineering11040396 (registering DOI) - 19 Apr 2024
Abstract
(1) Background: The purpose of this systematic review was to determine the prevalence of bone bruises in patients with anterior cruciate ligament (ACL) injuries and the location of the bruises relative to the tibia and femur. Understanding the relative positions of these bone [...] Read more.
(1) Background: The purpose of this systematic review was to determine the prevalence of bone bruises in patients with anterior cruciate ligament (ACL) injuries and the location of the bruises relative to the tibia and femur. Understanding the relative positions of these bone bruises could enhance our comprehension of the knee loading patterns that occur during an ACL injury. (2) Methods: The MEDLINE, EMBASE, and the Cochrane Library databases were searched for studies that evaluated the presence of bone bruises following ACL injuries. Study selection, data extraction, and a systematic review were performed. (3) Results: Bone bruises were observed in 3207 cases (82.8%) at the lateral tibia plateau (LTP), 1608 cases (41.5%) at the medial tibia plateau (MTP), 2765 cases (71.4%) at the lateral femoral condyle (LFC), and 1257 cases (32.4%) at the medial femoral condyle (MFC). Of the 30 studies, 11 were able to assess the anterior to posterior direction. The posterior LTP and center LFC were the most common areas of bone bruises. Among the 30 studies, 14 documented bone bruises across all four sites (LTP, MTP, LFC, and MFC). The most common pattern was bone bruises appearing at the LTP and LFC. (4) Conclusions: The most frequently observed pattern of bone bruises was restricted to the lateral aspects of both the tibia and femur. In cases where bone bruises were present on both the lateral and medial sides, those on the lateral side exhibited greater severity. The positioning of bone bruises along the front–back axis indicated a forward shift of the tibia in relation to the femur during ACL injuries. Full article
(This article belongs to the Special Issue Biomechanics of Sports Injuries)
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24 pages, 8562 KiB  
Article
The Changes in Multiscale Solar Wind Fluctuations on the Path from the Sun to Earth
by Igor D. Volodin, Maria O. Riazantseva, Liudmila S. Rakhmanova, Alexander A. Khokhlachev and Yuri I. Yermolaev
Universe 2024, 10(4), 186; https://doi.org/10.3390/universe10040186 (registering DOI) - 19 Apr 2024
Abstract
This paper is devoted to the analysis of fluctuations in the solar wind plasma and interplanetary magnetic field parameters observed by Solar Orbiter and WIND spacecraft at different scales ranging from ~103 to 107 km. We consider two long data intervals [...] Read more.
This paper is devoted to the analysis of fluctuations in the solar wind plasma and interplanetary magnetic field parameters observed by Solar Orbiter and WIND spacecraft at different scales ranging from ~103 to 107 km. We consider two long data intervals where the distances between the spacecraft are 0.1 and 0.5 AU, respectively, and they are located close to the Sun–Earth line. Transformation of the fluctuation’s properties on the way from the Sun to Earth is analyzed for different types of solar wind associated with quasi-stationary and transient solar phenomena. The time series of bulk speed are shown to undergo a slight modification, even for large spacecraft separation, while the time series of the interplanetary magnetic field magnitude and components as well as proton density may be transformed even at a relatively short distance. Though the large-scale solar wind structures propagate the distance up to 0.5 AU without significant change, local structures at smaller scales may be modified. The statistical properties of the fluctuations such as relative standard deviation or probability distribution function and its moments remain nearly unchanged at different distances between the two spacecraft and are likely to depend mostly on the type of the solar wind. Full article
(This article belongs to the Special Issue The Multi-Scale Dynamics of Solar Wind)
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13 pages, 1710 KiB  
Article
Improvement in Motor and Walking Capacity during Multisegmental Transcutaneous Spinal Stimulation in Individuals with Incomplete Spinal Cord Injury
by Hatice Kumru, Aina Ros-Alsina, Loreto García Alén, Joan Vidal, Yury Gerasimenko, Agusti Hernandez and Mark Wrigth
Int. J. Mol. Sci. 2024, 25(8), 4480; https://doi.org/10.3390/ijms25084480 (registering DOI) - 19 Apr 2024
Abstract
Transcutaneous multisegmental spinal cord stimulation (tSCS) has shown superior efficacy in modulating spinal locomotor circuits compared to single-site stimulation in individuals with spinal cord injury (SCI). Building on these findings, we hypothesized that administering a single session of tSCS at multiple spinal segments [...] Read more.
Transcutaneous multisegmental spinal cord stimulation (tSCS) has shown superior efficacy in modulating spinal locomotor circuits compared to single-site stimulation in individuals with spinal cord injury (SCI). Building on these findings, we hypothesized that administering a single session of tSCS at multiple spinal segments may yield greater enhancements in muscle strength and gait function during stimulation compared to tSCS at only one or two segments. In our study, tSCS was applied at single segments (C5, L1, and Coc1), two segments (C5-L1, C5-Coc1, and L1-Coc1), or multisegments (C5-L1-Coc1) in a randomized order. We evaluated the 6-m walking test (6MWT) and maximum voluntary contraction (MVC) and assessed the Hmax/Mmax ratio during stimulation in ten individuals with incomplete motor SCI. Our findings indicate that multisegmental tSCS improved walking time and reduced spinal cord excitability, as measured by the Hmax/Mmax ratio, similar to some single or two-site tSCS interventions. However, only multisegmental tSCS resulted in increased tibialis anterior (TA) muscle strength. These results suggest that multisegmental tSCS holds promise for enhancing walking capacity, increasing muscle strength, and altering spinal cord excitability in individuals with incomplete SCI. Full article
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38 pages, 1277 KiB  
Article
On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design
by Verusca Severo, Felipe B. S. Ferreira, Rodrigo Spencer, Arthur Nascimento and Francisco Madeiro
Sensors 2024, 24(8), 2606; https://doi.org/10.3390/s24082606 (registering DOI) - 19 Apr 2024
Abstract
Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of [...] Read more.
Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm intelligence. Initialization of the Linde–Buzo–Gray (LBG) algorithm, which is the most popular VQ codebook design algorithm, is a step that directly influences VQ performance, as the convergence speed and codebook quality depend on the initial codebook. A widely used initialization alternative is random initialization, in which the initial set of codevectors is drawn randomly from the training set. Other initialization methods can lead to a better quality of the designed codebooks. The present work evaluates the impacts of initialization strategies on swarm intelligence algorithms for codebook design in terms of the quality of the designed codebooks, assessed by the quality of the reconstructed images, and in terms of the convergence speed, evaluated by the number of iterations. Initialization strategies consist of a combination of codebooks obtained by initialization algorithms from the literature with codebooks composed of vectors randomly selected from the training set. The possibility of combining different initialization techniques provides new perspectives in the search for the quality of the VQ codebooks. Nine initialization strategies are presented, which are compared with random initialization. Initialization strategies are evaluated on the following algorithms for codebook design based on swarm clustering: modified firefly algorithm—Linde–Buzo–Gray (M-FA-LBG), modified particle swarm optimization—Linde–Buzo–Gray (M-PSO-LBG), modified fish school search—Linde–Buzo–Gray (M-FSS-LBG) and their accelerated versions (M-FA-LBGa, M-PSO-LBGa and M-FSS-LBGa) which are obtained by replacing the LBG with the accelerated LBG algorithm. The simulation results point out to the benefits of the proposed initialization strategies. The results show gains up to 4.43 dB in terms of PSNR for image Clock with M-PSO-LBG codebooks of size 512 and codebook design time savings up to 67.05% for image Clock, with M-FF-LBGa codebooks with size N=512, by using initialization strategies in substitution to Random initialization. Full article
(This article belongs to the Section Intelligent Sensors)
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10 pages, 1759 KiB  
Case Report
Genome Sequencing in an Individual Presenting with 22q11.2 Deletion Syndrome and Juvenile Idiopathic Arthritis
by Ruy Pires de Oliveira-Sobrinho, Simone Appenzeller, Ianne Pessoa Holanda, Júlia Lôndero Heleno, Josep Jorente, on behalf of the Rare Genomes Project Consortium, Társis Paiva Vieira and Carlos Eduardo Steiner
Genes 2024, 15(4), 513; https://doi.org/10.3390/genes15040513 (registering DOI) - 19 Apr 2024
Abstract
Juvenile idiopathic arthritis is a heterogeneous group of diseases characterized by arthritis with poorly known causes, including monogenic disorders and multifactorial etiology. 22q11.2 proximal deletion syndrome is a multisystemic disease with over 180 manifestations already described. In this report, the authors describe a [...] Read more.
Juvenile idiopathic arthritis is a heterogeneous group of diseases characterized by arthritis with poorly known causes, including monogenic disorders and multifactorial etiology. 22q11.2 proximal deletion syndrome is a multisystemic disease with over 180 manifestations already described. In this report, the authors describe a patient presenting with a short stature, neurodevelopmental delay, and dysmorphisms, who had an episode of polyarticular arthritis at the age of three years and eight months, resulting in severe joint limitations, and was later diagnosed with 22q11.2 deletion syndrome. Investigation through Whole Genome Sequencing revealed that he had no pathogenic or likely-pathogenic variants in both alleles of the MIF gene or in genes associated with monogenic arthritis (LACC1, LPIN2, MAFB, NFIL3, NOD2, PRG4, PRF1, STX11, TNFAIP3, TRHR, UNC13DI). However, the patient presented 41 risk polymorphisms for juvenile idiopathic arthritis. Thus, in the present case, arthritis seems coincidental to 22q11.2 deletion syndrome, probably caused by a multifactorial etiology. The association of the MIF gene in individuals previously described with juvenile idiopathic arthritis and 22q11.2 deletion seems unlikely since it is located in the distal and less-frequently deleted region of 22q11.2 deletion syndrome. Full article
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21 pages, 3643 KiB  
Article
Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model
by Bolanle Abimbola, Enrique de La Cal Marin and Qing Tan
Mach. Learn. Knowl. Extr. 2024, 6(2), 877-897; https://doi.org/10.3390/make6020041 (registering DOI) - 19 Apr 2024
Abstract
This research investigates the application of deep learning in sentiment analysis of Canadian maritime case law. It offers a framework for improving maritime law and legal analytic policy-making procedures. The automation of legal document extraction takes center stage, underscoring the vital role sentiment [...] Read more.
This research investigates the application of deep learning in sentiment analysis of Canadian maritime case law. It offers a framework for improving maritime law and legal analytic policy-making procedures. The automation of legal document extraction takes center stage, underscoring the vital role sentiment analysis plays at the document level. Therefore, this study introduces a novel strategy for sentiment analysis in Canadian maritime case law, combining sentiment case law approaches with state-of-the-art deep learning techniques. The overarching goal is to systematically unearth hidden biases within case law and investigate their impact on legal outcomes. Employing Convolutional Neural Network (CNN)- and long short-term memory (LSTM)-based models, this research achieves a remarkable accuracy of 98.05% for categorizing instances. In contrast, conventional machine learning techniques such as support vector machine (SVM) yield an accuracy rate of 52.57%, naïve Bayes at 57.44%, and logistic regression at 61.86%. The superior accuracy of the CNN and STM model combination underscores its usefulness in legal sentiment analysis, offering promising future applications in diverse fields like legal analytics and policy design. These findings mark a significant choice for AI-powered legal tools, presenting more sophisticated and sentiment-aware options for the legal profession. Full article
(This article belongs to the Section Learning)
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17 pages, 2855 KiB  
Review
Recent Progress in Two-Dimensional Nanomaterials for Flame Retardance and Fire-Warning Applications
by Weiliang Lin, Yao Yuan, Lulu Xu and Wei Wang
Molecules 2024, 29(8), 1858; https://doi.org/10.3390/molecules29081858 (registering DOI) - 19 Apr 2024
Abstract
Graphene-like 2D nanomaterials, such as graphene, MXene, molybdenum disulfide, and boron nitride, present a promising avenue for eco-friendly flame retardants. Their inherent characteristics, including metal-like conductivity, high specific surface area, electron transport capacity, and solution processability, make them highly suitable for applications in [...] Read more.
Graphene-like 2D nanomaterials, such as graphene, MXene, molybdenum disulfide, and boron nitride, present a promising avenue for eco-friendly flame retardants. Their inherent characteristics, including metal-like conductivity, high specific surface area, electron transport capacity, and solution processability, make them highly suitable for applications in both structural fire protection and fire alarm systems. This review offers an up-to-date exploration of advancements in flame retardant composites, utilizing pristine graphene-like nanosheets, versatile graphene-like nanosheets with multiple functions, and collaborative systems based on these nanomaterials. Moreover, graphene-like 2D nanomaterials exhibit considerable potential in the development of early fire alarm systems, enabling timely warnings. This review provides an overview of flame-retarding and fire-warning mechanisms, diverse multifunctional nanocomposites, and the evolving trends in the development of fire alarm systems anchored in graphene-like 2D nanomaterials and their derivatives. Ultimately, the existing challenges and prospective directions for the utilization of graphene-like 2D nanomaterials in flame retardant and fire-warning applications are put forward. Full article
(This article belongs to the Section Macromolecular Chemistry)
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27 pages, 7701 KiB  
Article
Characteristics of Low-Temperature Gasification Products from Wheat Straw in a Fluidized Bed Based on Cement Production Process
by Chen Dai, Tengfei He, Baosheng Jin, Qixin Gu, Shuchao Cheng, Yi Chen and Yu Cai
Energies 2024, 17(8), 1943; https://doi.org/10.3390/en17081943 (registering DOI) - 19 Apr 2024
Abstract
This study aimed to improve the safety and economy of cement production and to investigate the gasification performance and tar properties of wheat straw in a small electrically heated bubbling fluidized bed by varying three factors, namely, gasification reaction conditions, fuel quality and [...] Read more.
This study aimed to improve the safety and economy of cement production and to investigate the gasification performance and tar properties of wheat straw in a small electrically heated bubbling fluidized bed by varying three factors, namely, gasification reaction conditions, fuel quality and type, and the natural environment, so as to promote the application of the low-temperature gasification of biomass in the cement industry. The gasification experiment was carried out at temperatures of 550–700 °C, air equivalence ratios of 0.1–0.2, moisture contents of 5.25–24%, blended rubber ratios of 0–100%, and furnace vacuums of 0–0.03 within the parameter ranges, and the component analyses of the produced gases and tars were carried out by gas chromatography (GC) and gas chromatography–mass spectrometry (GC-MS). The experimental findings revealed that the optimal operating conditions for gasification were attained at a temperature of 650 °C, an equivalence ratio of 0.15, a moisture content of 5.25%, a rubber blending ratio of 0, and a vacuum degree of 0. Under these conditions, the concentrations of combustible components (H2, CH4, and CO) in the produced gas were 4.01%, 4.60%, and 21.05%, respectively. The carbon conversion rate was 62.40%, with the cold gas efficiency of 39.37%. The lower heating value of the produced gas was 5.915 MJ/Nm3, accompanied by a tar yield of 118.15 g/Nm3 and lower heating value of 3.385 MJ/Nm3. Full article
(This article belongs to the Section B: Energy and Environment)
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16 pages, 4006 KiB  
Article
Descriptive Epidemiology of Pathogens Associated with Acute Respiratory Infection in a Community-Based Study of K–12 School Children (2015–2023)
by Cristalyne Bell, Maureen Goss, Derek Norton, Shari Barlow, Emily Temte, Cecilia He, Caroline Hamer, Sarah Walters, Alea Sabry, Kelly Johnson, Guanhua Chen, Amra Uzicanin and Jonathan Temte
Pathogens 2024, 13(4), 340; https://doi.org/10.3390/pathogens13040340 (registering DOI) - 19 Apr 2024
Abstract
School-based outbreaks often precede increased incidence of acute respiratory infections in the greater community. We conducted acute respiratory infection surveillance among children to elucidate commonly detected pathogens in school settings and their unique characteristics and epidemiological patterns. The ORegon CHild Absenteeism due to [...] Read more.
School-based outbreaks often precede increased incidence of acute respiratory infections in the greater community. We conducted acute respiratory infection surveillance among children to elucidate commonly detected pathogens in school settings and their unique characteristics and epidemiological patterns. The ORegon CHild Absenteeism due to Respiratory Disease Study (ORCHARDS) is a longitudinal, laboratory-supported, school-based, acute respiratory illness (ARI) surveillance study designed to evaluate the utility of cause-specific student absenteeism monitoring for early detection of increased activity of influenza and other respiratory viruses in schools from kindergarten through 12th grade. Eligible participants with ARIs provided demographic, epidemiologic, and symptom data, along with a nasal swab or oropharyngeal specimen. Multipathogen testing using reverse-transcription polymerase chain reaction (RT-PCR) was performed on all specimens for 18 respiratory viruses and 2 atypical bacterial pathogens (Chlamydia pneumoniae and Mycoplasma pneumoniae). Between 5 January 2015 and 9 June 2023, 3498 children participated. Pathogens were detected in 2455 of 3498 (70%) specimens. Rhinovirus/enteroviruses (36%) and influenza viruses A/B (35%) were most commonly identified in positive specimens. Rhinovirus/enteroviruses and parainfluenza viruses occurred early in the academic year, followed by seasonal coronaviruses, RSV, influenza viruses A/B, and human metapneumovirus. Since its emergence in 2020, SARS-CoV-2 was detected year-round and had a higher median age than the other pathogens. A better understanding of the etiologies, presentations, and patterns of pediatric acute respiratory infections can help inform medical and public health system responses. Full article
(This article belongs to the Special Issue Recent Advances in Pediatric Infectious Diseases)
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17 pages, 5343 KiB  
Article
Addressing Post-Disaster Challenges and Fostering Social Mobility through Origami Infrastructure and Construction Trade Education
by Claudia Calle Müller and Mohamed ElZomor
Sustainability 2024, 16(8), 3415; https://doi.org/10.3390/su16083415 (registering DOI) - 19 Apr 2024
Abstract
Natural disasters devastate property and infrastructure systems, impeding sustainable development. Low-income communities, due to economic, physical, and social disparities, face heightened exposure and vulnerability. These communities endure severe and long-lasting infrastructure damage, experiencing a fourfold increase in deaths per disaster and delayed recovery [...] Read more.
Natural disasters devastate property and infrastructure systems, impeding sustainable development. Low-income communities, due to economic, physical, and social disparities, face heightened exposure and vulnerability. These communities endure severe and long-lasting infrastructure damage, experiencing a fourfold increase in deaths per disaster and delayed recovery efforts. Consequently, they resort to constructing informal housing and infrastructure, worsening post-disaster challenges and vulnerabilities. This study aims to address post-disaster challenges in low-income communities by proposing two novel approaches that remain understudied despite their significant potential: (1) a short-term solution of origami temporary emergency housing for swift shelter post-disaster, enabling a return to routine activities while homes and infrastructure systems are being repaired or rebuilt; and (2) a long-term solution, including effective pedagogy, such as teaching methods and instructional tools, to educate and train low-income individuals to aid in sustainable post-disaster reconstruction while providing the added benefit of social mobility. To validate the feasibility of origami TEH and the need and effectiveness of the pedagogy, a survey among architecture, engineering, and construction experts in Puerto Rico, a region prone to natural disasters, was conducted. The results, analyzed using statistical measures including descriptive statistics and ordered probit regression analysis, emphasize the urgent need for sustainable TEH that can be quickly assembled and education for low-income individuals in construction trades. Implementing these solutions will significantly impact communities by addressing post-disaster challenges and promoting social mobility and job equity. Full article
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16 pages, 1095 KiB  
Article
Towards Sustainable Eating Habits of Generation Z: Perception of and Willingness to Pay for Plant-Based Meat Alternatives
by Oliver Meixner, Michael Malleier and Rainer Haas
Sustainability 2024, 16(8), 3414; https://doi.org/10.3390/su16083414 (registering DOI) - 19 Apr 2024
Abstract
Within the food sector, there is a growing embrace of meat substitutes as a more sustainable alternative to meat, driven by ethical, environmental, and health considerations. This study aims to explore consumer behavior and willingness to pay (WTP) for plant-based meat alternatives (PBMAs), [...] Read more.
Within the food sector, there is a growing embrace of meat substitutes as a more sustainable alternative to meat, driven by ethical, environmental, and health considerations. This study aims to explore consumer behavior and willingness to pay (WTP) for plant-based meat alternatives (PBMAs), illustrated by the example of vegan burger patties. The sample of the study (n = 433) consists of young consumers roughly below 30 years of age, known as Generation Z (Gen Z). The study aims to (1) assess of the importance of PBMA attributes to Gen Z, and (2) approximate Gen Z’s willingness to pay for specific PBMA attribute levels. A choice-based conjoint analysis was used to assess Gen Z’s preferences for meat substitutes. The findings indicate that the most crucial PBMA attribute is origin, followed by price and the primary vegan ingredient. Notably, Gen Z values domestic and EU-sourced products positively, contrasting with the negative perception of third-country imports. Organic production is associated with a positive part-worth utility, whereas the attribute fat content has almost no impact. Consequently, WTP is approximated to be the highest for products of domestic origin compared to the significant discount required for non-EU origin. All other attribute levels have a much lower impact. Despite sociodemographic variables, the respondents’ eating habits (vegan, vegetarian, etc.) most significantly influence the approximation of the importance of some of the PBMA attributes, in particular price and primary ingredient. Full article
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20 pages, 4974 KiB  
Article
Power System Transient Stability Preventive Control via Aptenodytes Forsteri Optimization with an Improved Transient Stability Assessment Model
by Zhijun Xie, Dongxia Zhang, Wei Hu and Xiaoqing Han
Energies 2024, 17(8), 1942; https://doi.org/10.3390/en17081942 (registering DOI) - 19 Apr 2024
Abstract
Transient stability preventive control (TSPC), a method to efficiently withstand the severe contingencies in a power system, is mathematically a transient stability constrained optimal power flow (TSC-OPF) issue, attempting to maintain the economical and secure dispatch of a power system via generation rescheduling. [...] Read more.
Transient stability preventive control (TSPC), a method to efficiently withstand the severe contingencies in a power system, is mathematically a transient stability constrained optimal power flow (TSC-OPF) issue, attempting to maintain the economical and secure dispatch of a power system via generation rescheduling. The traditional TSC-OPF issue incorporated with differential-algebraic equations (DAE) is time consumption and difficult to solve. Therefore, this paper proposes a new TSPC method driven by a naturally inspired optimization algorithm integrated with transient stability assessment. To avoid solving complex DAE, the stacking ensemble multilayer perceptron (SEMLP) is used in this research as a transient stability assessment (TSA) model and integrated into the optimization algorithm to replace transient stability constraints. Therefore, less time is spent on challenging calculations. Simultaneously, sensitivity analysis (SA) based on this TSA model determines the adjustment direction of the controllable generators set. The results of this SA can be utilized as prior knowledge for subsequent optimization algorithms, thus further reducing the time consumption process. In addition, a naturally inspired algorithm, Aptenodytes Forsteri Optimization (AFO), is introduced to find the best operating point with a near-optimal operational cost while ensuring power system stability. The accuracy and effectiveness of the method are verified on the IEEE 39-bus system and the IEEE 300-bus system. After the implementation of the proposed TSPC method, both systems can ensure transient stability under a given contingency. The test experiment using AFO driven by SEMLP and SA on the IEEE 39-bus system is completed in about 35 s, which is one-tenth of the time required by the time domain simulation method. Full article
(This article belongs to the Section F: Electrical Engineering)
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24 pages, 20752 KiB  
Article
An Updated Perspective of the Impact of the 1940 Vrancea Earthquake on Design and Construction Practices in Romania
by Florin Pavel
Buildings 2024, 14(4), 1152; https://doi.org/10.3390/buildings14041152 (registering DOI) - 19 Apr 2024
Abstract
This study presents an updated view of the effects of the 1940 Vrancea earthquake. Recently compiled studies in the literature from the time of the event, as well as other studies, present the opportunity to gain additional and relevant information regarding this large-magnitude [...] Read more.
This study presents an updated view of the effects of the 1940 Vrancea earthquake. Recently compiled studies in the literature from the time of the event, as well as other studies, present the opportunity to gain additional and relevant information regarding this large-magnitude event. The effects of this earthquake on various locations in Romania are compared to those observed after the subsequent large Vrancea earthquake of 1977. An assessment of the economic losses caused by the seismic event is also attempted. The seismic vulnerability of some building typologies commonly used before 1940 is assessed by employing the earthquake damage data and the well-known macroseismic method. The impact of this event on the design and construction practices in Romania is evaluated using the collected information as well. Finally, the policy of repair and strengthening of buildings applied after the event is also discussed, and case studies are presented. Full article
(This article belongs to the Special Issue Buildings and Infrastructures under Natural Hazards)
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15 pages, 4386 KiB  
Article
Temporal Changes in Water and Sediment Discharges: Impacts of Climate Change and Human Activities in the Red River Basin (1958–2021) with Projections up to 2100
by Quang Hao Nguyen and Vinh Ngoc Tran
Water 2024, 16(8), 1155; https://doi.org/10.3390/w16081155 (registering DOI) - 19 Apr 2024
Abstract
The present study examined temporal variations in water and sediment discharges in the Red River basin from 1958 to 2021 resulting from climate change and anthropogenic factors, with projections extended to 2100. The 64-year observational period was divided into five distinct stages: 1958–1971 [...] Read more.
The present study examined temporal variations in water and sediment discharges in the Red River basin from 1958 to 2021 resulting from climate change and anthropogenic factors, with projections extended to 2100. The 64-year observational period was divided into five distinct stages: 1958–1971 (Stage I: natural conditions); 1972–1988 (Stage II: onset of human activities); 1989–2010 (Stage III: post Hoa Binh dam construction); 2011–2016 (Stage IV: series of new dam constructions); and 2017–2021 (Stage V: combined effects of human activities and climate change). Attribution analysis revealed that human activities accounted for 62% and 92% of the dramatic declines in sediment loads in Stages III and IV, respectively. Projection results of fluvial sediment loads over an approximate 150-year timeframe (1958–2100) indicate an overriding impact from human activities. Climate change projections based on four scenarios (−5%, +5%, +10%, and +15% change per year) suggest associated decreases or increases in river flows. This study predicts that projected 21st century increases in river flow attributable to climate change will offset up to eight percent of the human-induced sediment load deficit. Full article
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13 pages, 3197 KiB  
Article
Design of Multi-Band Bandstop Filters Based on Mixed Electric and Magnetic Coupling Resonators
by Jie Luo, Jinhao Zhang and Shanshan Gao
Electronics 2024, 13(8), 1552; https://doi.org/10.3390/electronics13081552 (registering DOI) - 19 Apr 2024
Abstract
In this paper, multi-band bandstop filters (BSFs) based on mixed electric and magnetic coupling resonators are proposed. These proposed structures include a multimode resonator based on symmetrical open-circuit branches, including upper- and lower-branch filter circuits. Through this design, the center frequencies of the [...] Read more.
In this paper, multi-band bandstop filters (BSFs) based on mixed electric and magnetic coupling resonators are proposed. These proposed structures include a multimode resonator based on symmetrical open-circuit branches, including upper- and lower-branch filter circuits. Through this design, the center frequencies of the stopbands can be flexibly and autonomously adjusted. In addition, the filters proposed in this paper have excellent characteristics, such as miniature dimensions and abrupt roll-off skirts. Finally, these tri-band to sext-band bandstop filters were fabricated and the measured results agreed well with the simulated ones. The proposed structures can be applied in the fields of communication, information, and coal automation. Full article
(This article belongs to the Special Issue Advances in the System of Higher-Dimension-Valued Neural Networks)
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5 pages, 174 KiB  
Editorial
Artificial Intelligence in Healthcare: ChatGPT and Beyond
by Tim Hulsen
AI 2024, 5(2), 550-554; https://doi.org/10.3390/ai5020028 (registering DOI) - 19 Apr 2024
Abstract
Artificial intelligence (AI), the simulation of human intelligence processes by machines, is having a growing impact on healthcare [...] Full article
13 pages, 1850 KiB  
Article
In-Depth Characterization of Crown Gall Disease of Tobacco in Serbia
by Renata Iličić, Aleksandra Jelušić, Goran Barać, Dušan Nikolić, Nemanja Stošić, Marco Scortichini and Tatjana Popović Milovanović
Agronomy 2024, 14(4), 851; https://doi.org/10.3390/agronomy14040851 (registering DOI) - 19 Apr 2024
Abstract
In August 2020, the unusual appearance of crown gall symptoms was observed on the tobacco plants (hybrid PVH2310) grown in fields in the Golubinci (Srem district, Serbia) locality. The causal agent isolated from galls located on tobacco roots formed circular, convex, and glistening [...] Read more.
In August 2020, the unusual appearance of crown gall symptoms was observed on the tobacco plants (hybrid PVH2310) grown in fields in the Golubinci (Srem district, Serbia) locality. The causal agent isolated from galls located on tobacco roots formed circular, convex, and glistening light blue colonies, and then dark to olive-green-colored bacterial colonies on a semi-selective D1 medium. Molecular analysis based on multiplex PCR and multi-locus sequence analysis (MLSA) using concatenated sequences of the atpD, dnaK, glnA, and rpoB genes as well as 16S rRNA identified Serbian tobacco isolates such as Agrobacterium tumefaciens (biovar 1). Two duplex PCR methods confirmed the presence of the virD2 and virC genes in tobacco isolates. Pathogenicity tests performed on carrot discs and squash fruits resulted in tumor/gall formation after 12 to 16 days post inoculation, respectively. Pathogenicity was also confirmed on tobacco plants, where isolates caused tumor development 21−25 days after inoculation. API 50 CH generated results regarding the biochemical features of the Serbian tobacco isolates. As A. tumefaciens (biovar 1) as a cause of tobacco crown gall has previously been documented solely in Japan, there is presently no data on its wider occurrence. Therefore, this first detailed investigation of A. tumefaciens isolated from naturally infected tobacco in Serbia will contribute to a better understanding of it at the global level. Full article
(This article belongs to the Special Issue Diseases of Herbaceous Plants)
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16 pages, 320 KiB  
Review
Poly- and Perfluoroalkyl Substance (PFAS) Analysis in Environmental Matrices: An Overview of the Extraction and Chromatographic Detection Methods
by Alessia Iannone, Fabiana Carriera, Cristina Di Fiore and Pasquale Avino
Analytica 2024, 5(2), 187-202; https://doi.org/10.3390/analytica5020012 (registering DOI) - 19 Apr 2024
Abstract
Per- and polyfluoroalkyl substances (PFASs) are carbon–fluorine compounds with widespread industrial and domestic use, posing potential toxicological risks to humans and ecosystems. Several analytical methods have been developed to assess the occurrence of PFASs in the environment, but a standardized method, applicable to [...] Read more.
Per- and polyfluoroalkyl substances (PFASs) are carbon–fluorine compounds with widespread industrial and domestic use, posing potential toxicological risks to humans and ecosystems. Several analytical methods have been developed to assess the occurrence of PFASs in the environment, but a standardized method, applicable to all matrices, is still lacking. This paper reviews the extraction and chromatographic detection methods for PFAS assessment in environmental samples, considering parameters such as the LOD, LOQ, and recoveries. Solid phase extraction (SPE) is commonly used, showing high recovery rates for water, soil, and sediment samples using HBL and WAX polymeric sorbents (85–100% and 93–111.5%, respectively). LC-MS has demonstrated low LODs and LOQs in seawater (0.01–0.08 ng L−1; 0.03–0.24 ng L−1), marine sediment (0.002–0.018 ng g−1; 0.004–0.054 ng g−1), and dust (0.08–0.68 pg g−1; 0.26–2.25 pg g−1), indicating its sensitivity when detecting trace PFAS levels. Evaluating PFASs is crucial for the development of future removal strategies and risk assessments. Potential solutions including the use of PFAS substitutes and innovative adsorption techniques for their adsorption could present promise in reducing their environmental presence. Full article
(This article belongs to the Section Chromatography)
10 pages, 243 KiB  
Article
Hildegard of Bingen: Philosophical Life and Spirituality
by Peter Harteloh
Religions 2024, 15(4), 506; https://doi.org/10.3390/rel15040506 (registering DOI) - 19 Apr 2024
Abstract
Hildegard of Bingen (1098–1179) was a medieval mystic. From a young age, she had many colorful visions and became well known and influential not only in her own time but in ours as well. Her music reached the mellow house scene in the [...] Read more.
Hildegard of Bingen (1098–1179) was a medieval mystic. From a young age, she had many colorful visions and became well known and influential not only in her own time but in ours as well. Her music reached the mellow house scene in the 1990s, reviving Hildegard’s spirituality for people today. In this paper, I will approach Hildegard as a philosophical practitioner and conduct an imaginary philosophical consultation. I will study her biography, listen to her words by some authentic text fragments and propose a spiritual exercise on her music in order not to just think about Hildegard of Bingen but to try and think like Hildegard of Bingen, in line with the principles of philosophical practice. This way, I will try to understand Hildegard in a practical way and not (just) annotate the regular (theoretical) interpretations of her life. I will distinguish three phases in her life as movements towards spirituality: (1) her relationship with the world, (2) her relationship with God, and (3) her relationship with herself as a spiritual being. I will argue that her life is an example of a philosophical life. Hildegard’s “not fitting in any place” (being átopos) and her development define such a life as a path towards an authentic self, attained by spirituality. The paper intends to contribute both to the understanding of philosophical consultations and to the understanding of Hildegard of Bingen. Full article

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