The 2023 MDPI Annual Report has
been released!
 
25 pages, 17243 KiB  
Article
RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations
by Ying Li, Wei Gao and Shihui Ying
Mathematics 2024, 12(11), 1617; https://doi.org/10.3390/math12111617 (registering DOI) - 21 May 2024
Abstract
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs. Inspired by the tendency of physics-informed neural networks (PINNs) to become local [...] Read more.
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs. Inspired by the tendency of physics-informed neural networks (PINNs) to become local approximations after training, the proposed method utilizes a radial basis function (RBF) to provide the normalization and localization properties to the input data. The objective of this strategy is to assist the network in solving PDEs more effectively. During the RBF-assisted processing part, the method selects the center points and collocation points separately to effectively manage data size and computational complexity. Subsequently, the RBF processed data are put into the network for predicting the solutions to PDEs. Finally, a series of experiments are conducted to evaluate the novel method. The numerical results confirm that the proposed method can accelerate the convergence speed of the loss function and improve predictive accuracy. Full article
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26 pages, 860 KiB  
Article
A New Optimal Numerical Root-Solver for Solving Systems of Nonlinear Equations Using Local, Semi-Local, and Stability Analysis
by Sania Qureshi, Francisco I. Chicharro, Ioannis K. Argyros, Amanullah Soomro, Jihan Alahmadi and Evren Hincal
Axioms 2024, 13(6), 341; https://doi.org/10.3390/axioms13060341 (registering DOI) - 21 May 2024
Abstract
This paper introduces an iterative method with a remarkable level of accuracy, namely fourth-order convergence. The method is specifically tailored to meet the optimality condition under the Kung–Traub conjecture by linear combination. This method, with an efficiency index of approximately 1.5874 [...] Read more.
This paper introduces an iterative method with a remarkable level of accuracy, namely fourth-order convergence. The method is specifically tailored to meet the optimality condition under the Kung–Traub conjecture by linear combination. This method, with an efficiency index of approximately 1.5874, employs a blend of localized and semi-localized analysis to improve both efficiency and convergence. This study aims to investigate semi-local convergence, dynamical analysis to assess stability and convergence rate, and the use of the proposed solver for systems of nonlinear equations. The results underscore the potential of the proposed method for several applications in polynomiography and other areas of mathematical research. The improved performance of the proposed optimal method is demonstrated with mathematical models taken from many domains, such as physics, mechanics, chemistry, and combustion, to name a few. Full article
15 pages, 1356 KiB  
Article
Dynamic Behavior and Mechanism of Transient Fluid–Structure Interaction in Viscoelastic Pipes Based on Energy Analysis
by Ying Xu, Shuang Zhang, Linfeng Zhou, Haoran Ning and Kai Wu
Water 2024, 16(11), 1468; https://doi.org/10.3390/w16111468 (registering DOI) - 21 May 2024
Abstract
The term “viscoelastic pipe” refers to high polymer pipes that exhibit both elastic and viscoelastic properties. Owing to their widespread use in water transport systems, it is important to understand the transient flow characteristics of these materials for pipeline safety. Despite extensive research, [...] Read more.
The term “viscoelastic pipe” refers to high polymer pipes that exhibit both elastic and viscoelastic properties. Owing to their widespread use in water transport systems, it is important to understand the transient flow characteristics of these materials for pipeline safety. Despite extensive research, these characteristics have not been sufficiently explored. This study evaluates the impact of friction models on the transient flow of viscoelastic pipes across various Reynolds numbers by employing an energy analysis approach. Given the complexity and computational demands of two-dimensional models, this paper compares the accuracy of one-dimensional and quasi-two-dimensional models. Notably, the superiority of the quasi-two-dimensional model in simulating viscoelastic pipelines is demonstrated. Owing to the interaction between pressure waves and fluid within viscoelastic pipes, fluid–structure coupling significantly attenuates pressure waves during transmission. These findings shed light on the constitutive properties of viscoelastic pipes and the influence of pipe wall friction models on transient hydraulic characteristics, building upon prior studies focused on elastic pipes. Nevertheless, numerous factors affecting transient flow in viscoelastic pipes remain unexplored. This paper suggests further analysis of strain effects, starting with temperature and pipe dynamics, to enhance the understanding of the coupling laws and flow mechanisms in viscoelastic pipelines. Full article
14 pages, 316 KiB  
Article
Impact of Text and Image Information on Community Group Buying Performance: Empirical Evidence from Convenience Chain Stores
by Le Liu, Yinyun Yan, Xin Tian and Zuoliang Jiang
Sustainability 2024, 16(11), 4344; https://doi.org/10.3390/su16114344 (registering DOI) - 21 May 2024
Abstract
Although the importance of the content of a webpage in retail business performance is widely recognized, there are few empirical studies on the importance of text and image information on the homepage in retailer performance. How will consumers sift through this information? Does [...] Read more.
Although the importance of the content of a webpage in retail business performance is widely recognized, there are few empirical studies on the importance of text and image information on the homepage in retailer performance. How will consumers sift through this information? Does text and image information affect consumers’ purchasing behavior? Using a data set of a Chinese convenience chain store, we attempt to clarify the influence of the brand in the title, the emotional atmosphere on the picture, and the product images of the homepage on the picture on retail business performance by employing a panel fixed-effects negative binomial regression model and a panel fixed-effect regression. Our results show that mentioning the product brand in the event title and presenting clear product images significantly enhance retailer performance in online community group buying. It is noteworthy that emotional descriptions have a greater impact on retailer performance compared to rational descriptions. In practice, this study provides a new perspective and reference for online community group buying platforms to better attract consumers and maintain sustainable development. Full article
11 pages, 812 KiB  
Article
A Portable Fluorescent Lateral Flow Immunoassay Platform for Rapid Detection of FluA
by Xu Chen, Xuhui Huang, Saima Kanwal, Jian Wang, Jing Wen and Dawei Zhang
Biosensors 2024, 14(6), 263; https://doi.org/10.3390/bios14060263 (registering DOI) - 21 May 2024
Abstract
The spread of the FluA virus poses significant public health concerns worldwide. Fluorescent lateral flow immunoassay (LFIA) test strips have emerged as vital tools for the early detection and monitoring of influenza infections. However, existing quantitative virus-detection methods, particularly those utilizing smartphone-based sensing [...] Read more.
The spread of the FluA virus poses significant public health concerns worldwide. Fluorescent lateral flow immunoassay (LFIA) test strips have emerged as vital tools for the early detection and monitoring of influenza infections. However, existing quantitative virus-detection methods, particularly those utilizing smartphone-based sensing platforms, encounter accessibility challenges in resource-limited areas and among the elderly population. Despite their advantages in speed and portability, these platforms often lack user-friendliness for these demographics, impeding their widespread utilization. To address these challenges, this study proposes leveraging the optical pick-up unit (OPU) sourced from commercial optical drives as a readily available fluorescence excitation module for the quantitative detection of antibodies labeled with quantum-dot fluorescent microspheres. Additionally, we utilize miniaturized and high-performance optical components and 3D-printed parts, along with a customized control system, to develop an affordable point-of-care testing (POCT) device. Within the system, a stepping motor scans the test strip from the T-line to the C-line, enabling the calculation of the fluorescence-intensity ratio between the two lines. This simple yet effective design facilitates rapid and straightforward field or at-home testing for FluA. The proposed prototype platform demonstrates promising performance, achieving a limit of detection (LOD) of 2.91 ng/mL, a total detection time of no more than 15 min, and dimensions of 151 mm × 11.2 mm × 10.8 mm3. We believe that the proposed approach holds great potential for improving access to an accurate influenza diagnosis. Full article
(This article belongs to the Special Issue Emerging Applications of Label-Free Optical Biosensors)
22 pages, 1424 KiB  
Article
Probabilistic Chain-Enhanced Parallel Genetic Algorithm for UAV Reconnaissance Task Assignment
by Jiaze Tang, Dan Liu, Qisong Wang, Junbao Li and Jinwei Sun
Drones 2024, 8(6), 213; https://doi.org/10.3390/drones8060213 (registering DOI) - 21 May 2024
Abstract
With the increasing diversity and complexity of tasks assigned to unmanned aerial vehicles (UAVs), the demands on task assignment and sequencing technologies have grown significantly, particularly for large UAV tasks such as multi-target reconnaissance area surveillance. While the current exhaustive methods offer thorough [...] Read more.
With the increasing diversity and complexity of tasks assigned to unmanned aerial vehicles (UAVs), the demands on task assignment and sequencing technologies have grown significantly, particularly for large UAV tasks such as multi-target reconnaissance area surveillance. While the current exhaustive methods offer thorough solutions, they encounter substantial challenges in addressing large-scale task assignments due to their extensive computational demands. Conversely, while heuristic algorithms are capable of delivering satisfactory solutions with limited computational resources, they frequently struggle with converging on locally optimal solutions and are characterized by low iteration rates. In response to these limitations, this paper presents a novel approach: the probabilistic chain-enhanced parallel genetic algorithm (PC-EPGA). The PC-EPGA combines probabilistic chains with genetic algorithms to significantly enhance the quality of solutions. In our approach, each UAV flight is considered a Dubins vehicle, incorporating kinematic constraints. In addition, it integrates parallel genetic algorithms to improve hardware performance and processing speed. In our study, we represent task points as chromosome nodes and construct probabilistic connection chains between these nodes. This structure is specifically designed to influence the genetic algorithm’s crossover and mutation processes by taking into account both the quantity of tasks assigned to UAVs and the associated costs of inter-task flights. In addition, we propose a fitness-based adaptive crossover operator to circumvent local optima more effectively. To optimize the parameters of the PC-EPGA, Bayesian networks are utilized, which improves the efficiency of the whole parameter search process. The experimental results show that compared to the traditional heuristic algorithms, the probabilistic chain algorithm significantly improves the quality of solutions and computational efficiency. Full article
11 pages, 559 KiB  
Article
Atom Exchange Radical Cyclization: A Sustainable Synthetic Approach towards New Functionalized Targets
by Biagio Anderlini, Andrea Severini, Camilla Ferrari, Claudio Fontanesi, Vittorio Ascari, Niccolò Braidi and Fabrizio Roncaglia
Appl. Sci. 2024, 14(11), 4357; https://doi.org/10.3390/app14114357 (registering DOI) - 21 May 2024
Abstract
In this study, we demonstrate the direct preparation of dihalo-γ-lactams featuring two distinct halogens from dichloroamides using a novel atom exchange radical cyclization (AERC) procedure. This method integrates the established atom transfer radical cyclization (ATRC) with halogen exchange in solution. The [...] Read more.
In this study, we demonstrate the direct preparation of dihalo-γ-lactams featuring two distinct halogens from dichloroamides using a novel atom exchange radical cyclization (AERC) procedure. This method integrates the established atom transfer radical cyclization (ATRC) with halogen exchange in solution. The technique operates under mild conditions and requires small amounts of metallic copper, serving as both a supplemental activator and reducing agent. Full article
(This article belongs to the Special Issue Recent Advances in Green Chemistry and Sustainable Catalysis)
22 pages, 675 KiB  
Article
Exploring the Impact of Digital Transformation on Manufacturing Environment, Social Responsibility, and Corporate Governance Performance: The Moderating Role of Top Management Teams
by Qin Yang and Shanyue Jin
Sustainability 2024, 16(11), 4342; https://doi.org/10.3390/su16114342 (registering DOI) - 21 May 2024
Abstract
In the digital economy era, digital transformation is crucial for competitiveness in traditional industries, particularly in manufacturing. This study aimed to examine how digital transformation impacts the manufacturing environment, social responsibility, and corporate governance (ESG), with a focus on the role of senior [...] Read more.
In the digital economy era, digital transformation is crucial for competitiveness in traditional industries, particularly in manufacturing. This study aimed to examine how digital transformation impacts the manufacturing environment, social responsibility, and corporate governance (ESG), with a focus on the role of senior executive teams. Using empirical analysis of Chinese A-share listed companies from 2010 to 2019, this study found that digital transformation promotes ESG performance in the manufacturing industry. The findings revealed that the educational level, CEO tenure, and professional background diversity of senior management teams moderate this relationship, enhancing ESG performance. This study enriches and expands the existing knowledge system on this topic by integrating theories related to the digital economy and resource-based theories. It provides methodological guidance for the manufacturing industry to improve its environmental, social, and governance performance and achieve rapid development. Additionally, it offers practical suggestions for the government, manufacturing enterprises, and senior executive teams on how to better play their performance in digital transformation and ESG governance. This will assist the manufacturing industry enhance its level of digital transformation and continuously improve its ESG management and governance. Full article
(This article belongs to the Special Issue Digital Transformation and Innovation for a Sustainable Future)
16 pages, 1025 KiB  
Article
Clinical Significance of the Plasma Biomarker Panels in Amyloid-Negative and Tau PET-Positive Amnestic Patients: Comparisons with Alzheimer’s Disease and Unimpaired Cognitive Controls
by Hsin-I Chang, Kuo-Lun Huang, Chung-Gue Huang, Chi-Wei Huang, Shu-Hua Huang, Kun-Ju Lin and Chiung-Chih Chang
Int. J. Mol. Sci. 2024, 25(11), 5607; https://doi.org/10.3390/ijms25115607 (registering DOI) - 21 May 2024
Abstract
The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In [...] Read more.
The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In this multi-center study, we enrolled 285 subjects with young-onset AD (YOAD; n = 55), late-onset AD (LOAD; n = 96), TCP (n = 44), and cognitively unimpaired controls (CTL; n = 90) and analyzed plasma Aβ42/Aβ40, pTau181, neurofilament light (NFL), and total-tau using single-molecule assays. Amyloid and tau centiloids reflected pathological burden, and hippocampal volume reflected structural integrity. Receiver operating characteristic curves and areas under the curves (AUCs) were used to determine the diagnostic accuracy of plasma biomarkers compared to hippocampal volume and amyloid and tau centiloids. The Mini-Mental State Examination score (MMSE) served as the major cognitive outcome. Logistic stepwise regression was used to assess the overall diagnostic accuracy, combining fluid and structural biomarkers and a stepwise linear regression model for the significant variables for MMSE. For TCP, tau centiloid reached the highest AUC for diagnosis (0.79), while pTau181 could differentiate TCP from YOAD (accuracy 0.775) and LOAD (accuracy 0.806). NFL reflected the clinical dementia rating in TCP, while pTau181 (rho = 0.3487, p = 0.03) and Aβ42/Aβ40 (rho = −0.36, p = 0.02) were significantly correlated with tau centiloid. Hippocampal volume (unstandardized β = 4.99, p = 0.01) outperformed all of the fluid biomarkers in predicting MMSE scores in the TCP group. Our results support the superiority of tau PET to diagnose TCP, pTau181 to differentiate TCP from YOAD or LOAD, and NFL for functional staging. Full article
(This article belongs to the Special Issue Circulating Biomarkers for the Diagnosis of Neurobiological Diseases)
16 pages, 5475 KiB  
Article
Research on One-Time Pouring Construction Technology of Side-Span Cast-In-Situ Section and Closed Section
by Changzhu Wang, Guijia Yang, Jinhan Zhang, Jiahao Wang and Yuanxun Zheng
Appl. Sci. 2024, 14(11), 4356; https://doi.org/10.3390/app14114356 (registering DOI) - 21 May 2024
Abstract
In recent years, in the construction process of closed-bridge side spans, construction has often been carried out in accordance with the construction sequence of, first, pouring the cast-in-place section, then preburying strong bone and pouring the closed section, and finally tensioning the closure [...] Read more.
In recent years, in the construction process of closed-bridge side spans, construction has often been carried out in accordance with the construction sequence of, first, pouring the cast-in-place section, then preburying strong bone and pouring the closed section, and finally tensioning the closure steel bundle. However, the temperature change during the construction process of the conventional hinges leads to a large deformation of the hinges’ strong bone, which disturbs the concrete of the hinged section, and, at the same time, its high stiffness means that the concrete of the hinged section will not be sufficiently precompressed, thus resulting in the loss of prestressing force. Therefore, it is necessary to study the one-time casting construction technology of the side-span’s cast-in-place and closed sections. In this study, on the basis of introducing the conventional side-span joint-construction technology, the one-time pouring joint-construction technology was adjusted. In order to eliminate the sunlight temperature factor, which has a great influence on the process of joining, finite element analysis was used to further compare and analyze the changes in the internal force and the linearity of the structure under different joining methods. The results of this study show that, by adjusting the counterweight, the adverse effect of the disturbance of the main girder on the concrete at the joint end under the effect of sunshine temperature can be effectively controlled. Also, one-time joint construction is more reasonable for the internal force and deflection deformation of the structure compared with the conventional side-span joining method of a continuous rigid bridge, which is more favorable to the structure. The research methods and conclusions of this paper can provide a reference for the improvement of closed side-span one-time casting construction technology. Full article
(This article belongs to the Section Civil Engineering)
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15 pages, 2191 KiB  
Article
Evaluation of Physicochemical Properties and Prebiotics Function of a Bioactive Pleurotus eryngii Aqueous Extract Powder Obtained by Spray Drying
by Jianqiu Chen, Mengling Zhou, Liding Chen, Chengfeng Yang, Yating Deng, Jiahuan Li and Shujing Sun
Nutrients 2024, 16(11), 1555; https://doi.org/10.3390/nu16111555 (registering DOI) - 21 May 2024
Abstract
A bioactive Pleurotus eryngii aqueous extract powder (SPAE) was obtained by spray drying and its performance in terms of physicochemical properties, in vitro digestion, inflammatory factors, and modulation of the intestinal microbiota was explored. The results indicated that the SPAE exhibited a more [...] Read more.
A bioactive Pleurotus eryngii aqueous extract powder (SPAE) was obtained by spray drying and its performance in terms of physicochemical properties, in vitro digestion, inflammatory factors, and modulation of the intestinal microbiota was explored. The results indicated that the SPAE exhibited a more uniform particle size distribution than P. eryngii polysaccharide (PEP). Meanwhile, a typical absorption peak observed at 843 cm−1 in the SPAE FTIR spectra indicated the existence of α-glycosidic bonds. SPAE exhibited higher antioxidant abilities and superior resistance to digestion in vitro. In addition, SPAE supplementation to mice significantly reduced the release of factors that promote inflammation, enhanced the secretion of anti-inflammatory factors, and sustained maximum production of short-chain fatty acids (SCFAs). Additionally, it significantly enhanced the relative abundance of SCFAs-producing Akkermansia and reduced the abundance of Ruminococcus and Clostridiides in intestines of mice. These results show the potential of SPAE as a novel material with prebiotic effects for the food and pharmaceutical industries. Full article
(This article belongs to the Special Issue Functional Evaluation of Edible Mushrooms and Their Active Materials)
10 pages, 620 KiB  
Review
Meropenem/Vaborbactam—A Mechanistic Review for Insight into Future Development of Combinational Therapies
by Trae Hillyer and Woo Shik Shin
Antibiotics 2024, 13(6), 472; https://doi.org/10.3390/antibiotics13060472 (registering DOI) - 21 May 2024
Abstract
Beta-lactam antibiotics have been a major climacteric in medicine for being the first bactericidal compound available for clinical use. They have continually been prescribed since their development in the 1940s, and their application has saved an immeasurable number of lives. With such immense [...] Read more.
Beta-lactam antibiotics have been a major climacteric in medicine for being the first bactericidal compound available for clinical use. They have continually been prescribed since their development in the 1940s, and their application has saved an immeasurable number of lives. With such immense use, the rise in antibiotic resistance has truncated the clinical efficacy of these compounds. Nevertheless, the synergism of combinational antibiotic therapy has allowed these drugs to burgeon once again. Here, the development of meropenem with vaborbactam—a recently FDA-approved beta-lactam combinational therapy—is reviewed in terms of structure rationale, activity gamut, pharmacodynamic/pharmacokinetic properties, and toxicity to provide insight into the future development of analogous therapies. Full article
(This article belongs to the Special Issue Recent Advances in Antimicrobial Drug Discovery, 2nd Volume)
19 pages, 391 KiB  
Article
Effects of Brown Seaweed (Ascophyllum nodosum) Supplementation on Enteric Methane Emissions, Metabolic Status and Milk Composition in Peak-Lactating Holstein Cows
by Dušan Bošnjaković, Sreten Nedić, Sveta Arsić, Radiša Prodanović, Ivan Vujanac, Ljubomir Jovanović, Milica Stojković, Ivan B. Jovanović, Ivana Djuricic and Danijela Kirovski
Animals 2024, 14(11), 1520; https://doi.org/10.3390/ani14111520 (registering DOI) - 21 May 2024
Abstract
The dairy industry contributes significantly to anthropogenic methane emissions, which have an impact on global warming. This study aimed to investigate the effects of a dietary inclusion of brown seaweed Ascophyllum nodosum on enteric methane emissions (EMEs), hematological and blood biochemical profiles, and [...] Read more.
The dairy industry contributes significantly to anthropogenic methane emissions, which have an impact on global warming. This study aimed to investigate the effects of a dietary inclusion of brown seaweed Ascophyllum nodosum on enteric methane emissions (EMEs), hematological and blood biochemical profiles, and milk composition in dairy cows. Eighteen Holstein cows were divided into three groups: CON (non-supplemented cows), BS50 (50 mL of 10% A. nodosum), and BS100 (100 mL of 10% A. nodosum). In each cow, measurements of EME, dry matter intake (DMI), and milk yield (MY), as well as blood and milk sampling with respective analyzes, were performed before supplementation (P1), after 15 (P2) days, and after 30 (P3) days of supplementation. A. nodosum reduced (p < 0.05) methane production, methane yield, and methane intensity in both BS50 and BS100, and raised DMI (p < 0.05) only in BS50. Total bilirubin (p < 0.05) was higher in BS50 compared to CON cows in P2, and triacylglycerols were lower (p < 0.05) in BS50 than in CON cows in P3. Higher milk fat content was found in BS50 than in CON cows in P3. C16:0 proportions were higher (p < 0.05) in BS50 and BS100 than in CON cows, while C18:3n-3 was higher (p < 0.05) in BS100 than in BS50 and CON cows in P3. Dietary treatment with A. nodosum reduced EMEs and showed the potential to increase DMI and to improve energy status as well as milk composition in peak-lactating dairy cows. Full article
18 pages, 624 KiB  
Article
A Progressive Outlook on Possibility Multi-Fuzzy Soft Ordered Semigroups: Theory and Analysis
by Sana Habib, Faiz Muhammad Khan and Violeta Leoreanu-Fotea
Axioms 2024, 13(6), 340; https://doi.org/10.3390/axioms13060340 (registering DOI) - 21 May 2024
Abstract
The concept of possibility fuzzy soft sets is a step in a new direction towards a soft set approach that can be used to solve decision-making issues. In this piece of research, an innovative and comprehensive conceptual framework for possibility multi-fuzzy soft ordered [...] Read more.
The concept of possibility fuzzy soft sets is a step in a new direction towards a soft set approach that can be used to solve decision-making issues. In this piece of research, an innovative and comprehensive conceptual framework for possibility multi-fuzzy soft ordered semigroups by making use of the notions that are associated with possibility multi-fuzzy soft sets as well as ordered semigroups is introduced. Possibility multi-fuzzy soft ordered semigroups mark a newly developed theoretical avenue, and the central aim of this paper is to investigate it. The focus lies on investigating this newly developed theoretical direction, with practical examples drawn from decision-making and diagnosis practices to enhance understanding and appeal to researchers’ interests. We strictly build the notions of possibility multi-fuzzy soft left (right) ideals, as well as l-idealistic and r-idealistic possibility multi-fuzzy soft ordered semigroups. Furthermore, various algebraic operations, such as union, intersection, as well as AND and OR operations are derived, while also providing a comprehensive discussion of their properties. To clarify these innovative ideas, the theoretical constructs are further reinforced with a set of demonstrative examples in order to guarantee deep and improved comprehension of the proposed framework. Full article
(This article belongs to the Special Issue Advances in Classical and Applied Mathematics)
15 pages, 579 KiB  
Article
eDNA Metabarcoding Reveals the Species–Area Relationship of Amphibians on the Zhoushan Archipelago
by Wenhao Li, Xianglei Hou, Yunlong Zhu, Jiacong Du, Chunxia Xu, Jingyuan Yang and Yiming Li
Animals 2024, 14(11), 1519; https://doi.org/10.3390/ani14111519 (registering DOI) - 21 May 2024
Abstract
The species–area relationship is important for understanding species diversity patterns at spatial scales, but few studies have examined the relationship using environmental DNA (eDNA) techniques. We investigated amphibian diversity on 21 islands of the Zhoushan Archipelago and nearby mainland areas in China using [...] Read more.
The species–area relationship is important for understanding species diversity patterns at spatial scales, but few studies have examined the relationship using environmental DNA (eDNA) techniques. We investigated amphibian diversity on 21 islands of the Zhoushan Archipelago and nearby mainland areas in China using the combination of eDNA metabarcoding and the traditional line transect method (TLTM) and identified the species–area relationship for amphibians on the islands. The mean detection probability of eDNA is 0.54, while the mean detection probability of TLTM is 0.24. The eDNA metabarcoding detected eight amphibian species on the islands and nine species in the mainland areas, compared with seven species on the islands and nine species in the mainland areas that were identified by TLTM. Amphibian richness on the islands increased with island area and habitat diversity. The species–area relationship for amphibians in the archipelago was formulated as the power function (S = 0.47A0.21) or exponential function (S = 2.59 + 2.41 (logA)). Our results suggested that eDNA metabarcoding is more sensitive for the detection of amphibian species. The combined use of eDNA metabarcoding and the traditional line transect method may optimize the survey results for amphibians. Full article
(This article belongs to the Special Issue Evolution, Diversity, and Conservation of Herpetofauna)
21 pages, 20138 KiB  
Article
Research on the Characteristic State of Rockfill Materials and the Evolution Mechanism at the Microscopic Scale
by Yunchao Cui, Lingkai Zhang, Chong Shi and Runhan Zhang
Appl. Sci. 2024, 14(11), 4353; https://doi.org/10.3390/app14114353 (registering DOI) - 21 May 2024
Abstract
In this study, the real particle morphology of rockfill materials is obtained through three-dimensional scanning technology, and flexible boundary conditions are established by coupling the discrete element method and the finite element method. Then, a large-scale three-axis numerical simulation test is carried out [...] Read more.
In this study, the real particle morphology of rockfill materials is obtained through three-dimensional scanning technology, and flexible boundary conditions are established by coupling the discrete element method and the finite element method. Then, a large-scale three-axis numerical simulation test is carried out on the rockfill materials to study the macroscopic mechanical properties and the change rule of the microscopic view of the rockfill materials in different characteristic states. The macroscopic results show that the stress–strain curves of the rockfill materials can be divided into softening and hardening curves. The phase transition, peak, and critical states of the softening-type curves show different mechanical properties, but no clear distinction between the characteristic state changes can be seen in the hardening-type curves. The microscopic results show that the displacement of the upper and lower parts of the flexible boundary of the softening curve increases with loading, and there is no obvious displacement in the middle part, but the middle particles undergo rotational deformation. An “X” shear band appears, and the strength of the force chain and the coordination number tend to increase first and then decrease. The flexible boundary displacements of the hardening-type curves are similar to those of the softening-type curves, but the central particles show a large number of cleavages instead of shear zones, and the force chain strength and coordination number levels show a continuous upward trend. Full article
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16 pages, 921 KiB  
Review
Therapeutic Effects of Plant Anthocyanin against Alzheimer’s Disease and Modulate Gut Health, Short-Chain Fatty Acids
by Al Borhan Bayazid and Beong Ou Lim
Nutrients 2024, 16(11), 1554; https://doi.org/10.3390/nu16111554 (registering DOI) - 21 May 2024
Abstract
Alzheimer’s disease (AD) is the most common form of dementia and neurogenerative disease (NDD), and it is also one of the leading causes of death worldwide. The number of AD patients is over 55 million according to 2020 Alzheimer’s Disease International (ADI), and [...] Read more.
Alzheimer’s disease (AD) is the most common form of dementia and neurogenerative disease (NDD), and it is also one of the leading causes of death worldwide. The number of AD patients is over 55 million according to 2020 Alzheimer’s Disease International (ADI), and the number is increasing drastically without any effective cure. In this review, we discuss and analyze the potential role of anthocyanins (ACNs) against AD while understanding the molecular mechanisms. ACNs have been reported as having neuroprotective effects by mitigating cognitive impairments, apoptotic markers, neuroinflammation, aberrant amyloidogenesis, and tauopathy. Taken together, ACNs could be an important therapeutic agent for combating or delaying the onset of AD. Full article
8 pages, 653 KiB  
Article
Role of CT in the Staging of Colorectal Tumors: A Preliminary Study on 10 Dogs
by Simone Perfetti, Martina Mugnai, Simonetta Citi, Laura Marconato, Armando Foglia, Silvia Sabattini, Nikolina Linta and Alessia Diana
Animals 2024, 14(11), 1521; https://doi.org/10.3390/ani14111521 (registering DOI) - 21 May 2024
Abstract
This study aimed to define the CT features of colorectal tumors in dogs and assess CT’s role in tumor staging. It was a retrospective, multicenter, descriptive study involving dogs with a cyto-histopathological diagnosis of colorectal tumors and high-quality pre- and post-contrast CT scans [...] Read more.
This study aimed to define the CT features of colorectal tumors in dogs and assess CT’s role in tumor staging. It was a retrospective, multicenter, descriptive study involving dogs with a cyto-histopathological diagnosis of colorectal tumors and high-quality pre- and post-contrast CT scans of the abdomen. CT successfully identified colorectal lesions in all cases, showing variations such as wall thickening, presence of masses, and luminal stenosis. It also detected lymph node involvement. Overall, this study helps us to understand the CT features of both epithelial and mesenchymal colorectal tumors, emphasizing CT’s importance in staging and surgical planning for affected dogs. Larger studies are needed to identify specific CT findings for different colorectal neoplasms. Full article
(This article belongs to the Section Veterinary Clinical Studies)
11 pages, 1161 KiB  
Article
Purpureocillium jiangxiense sp. nov.: Entomopathogenic Effects on Ostrinia furnacalis and Galleria mellonella
by Wei Chen, Yanhong Tang, Tongyi Liu, Hongwang Hu, Cuiyi Ou, Qiongbo Hu and Qunfang Weng
Microorganisms 2024, 12(6), 1041; https://doi.org/10.3390/microorganisms12061041 (registering DOI) - 21 May 2024
Abstract
The genus Purpureocillium is renowned for its role in biocontrol and biotechnological applications. The identification of new species within this genus is crucial for broadening our understanding of its ecological roles and potential utility in sustainable agriculture. This study aimed to characterize a [...] Read more.
The genus Purpureocillium is renowned for its role in biocontrol and biotechnological applications. The identification of new species within this genus is crucial for broadening our understanding of its ecological roles and potential utility in sustainable agriculture. This study aimed to characterize a new species of Purpureocillium, isolated from soil in eastern China, and to evaluate its bioactivity against Ostrinia furnacalis (corn moth) and Galleria mellonella (greater wax moth). We utilized morphological characterization; molecular phylogenetic analysis employing ITS, nrLSU, and tef1 genes; and bioactivity assays to identify and characterize the new species. The newly identified species, Purpureocillium jiangxiense sp. nov., displays unique morphological and genetic profiles compared to known species. Bioactivity tests showed that this species exhibits inhibitory effects against O. furnacalis and G. mellonella, highlighting its potential in biocontrol applications. By the ninth day at a spore concentration of 1 × 108 spores/mL, the mortality rate of the corn moth and greater wax moth reached 30% to 50% respectively. The discovery of P. jiangxiense sp. nov. adds to the genetic diversity known within this genus and offers a promising candidate for the development of natural biocontrol agents. It underscores the importance of continued biodiversity exploration and the potential for natural solutions in pest and disease management. Full article
(This article belongs to the Section Systems Microbiology)
16 pages, 4155 KiB  
Article
New 3D Vortex Microfluidic System Tested for Magnetic Core-Shell Fe3O4-SA Nanoparticle Synthesis
by Adelina-Gabriela Niculescu, Oana Maria Munteanu (Mihaiescu), Alexandra Cătălina Bîrcă, Alina Moroșan, Bogdan Purcăreanu, Bogdan Ștefan Vasile, Daniela Istrati, Dan Eduard Mihaiescu, Tony Hadibarata and Alexandru Mihai Grumezescu
Nanomaterials 2024, 14(11), 902; https://doi.org/10.3390/nano14110902 (registering DOI) - 21 May 2024
Abstract
This study’s main objective was to fabricate an innovative three-dimensional microfluidic platform suitable for well-controlled chemical syntheses required for producing fine-tuned nanostructured materials. This work proposes using vortex mixing principles confined within a 3D multilayered microreactor to synthesize magnetic core-shell nanoparticles with tailored [...] Read more.
This study’s main objective was to fabricate an innovative three-dimensional microfluidic platform suitable for well-controlled chemical syntheses required for producing fine-tuned nanostructured materials. This work proposes using vortex mixing principles confined within a 3D multilayered microreactor to synthesize magnetic core-shell nanoparticles with tailored dimensions and polydispersity. The newly designed microfluidic platform allowed the simultaneous obtainment of Fe3O4 cores and their functionalization with a salicylic acid shell in a short reaction time and under a high flow rate. Synthesis optimization was also performed, employing the variation in the reagents ratio to highlight the concentration domains in which magnetite is mainly produced, the formation of nanoparticles with different diameters and low polydispersity, and the stability of colloidal dispersions in water. The obtained materials were further characterized by X-ray diffraction (XRD), Fourier-transform infrared (FT-IR) spectroscopy, dynamic light scattering (DLS), and transmission electron microscopy (TEM), with the experimental results confirming the production of salicylic acid-functionalized iron oxide (Fe3O4-SA) nanoparticles adapted for different further applications. Full article
(This article belongs to the Special Issue Recent Advances in the Development of Nano-Biomaterials)
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20 pages, 4462 KiB  
Review
Synthesis of Mesoporous Silica Using the Sol–Gel Approach: Adjusting Architecture and Composition for Novel Applications
by Yandong Han, Lin Zhang and Wensheng Yang
Nanomaterials 2024, 14(11), 903; https://doi.org/10.3390/nano14110903 (registering DOI) - 21 May 2024
Abstract
The sol–gel chemistry of silica has long been used for manipulating the size, shape, and microstructure of mesoporous silica particles. This manipulation is performed in mild conditions through controlling the hydrolysis and condensation of silicon alkoxide. Compared to amorphous silica particles, the preparation [...] Read more.
The sol–gel chemistry of silica has long been used for manipulating the size, shape, and microstructure of mesoporous silica particles. This manipulation is performed in mild conditions through controlling the hydrolysis and condensation of silicon alkoxide. Compared to amorphous silica particles, the preparation of mesoporous silica, such as MCM-41, using the sol–gel approach offers several unique advantages in the fields of catalysis, medicament, and environment, due to its ordered mesoporous structure, high specific surface area, large pore volume, and easily functionalized surface. In this review, our primary focus is on the latest research related to the manipulation of mesoporous silica architectures using the sol–gel approach. We summarize various structures, including hollow, yolk-shell, multi-shelled hollow, Janus, nanotubular, and 2D membrane structures. Additionally, we survey sol–gel strategies involving the introduction of various functional elements onto the surface of mesoporous silica to enhance its performance. Furthermore, we outline the prospects and challenges associated with mesoporous silica featuring different structures and functions in promising applications, such as high-performance catalysis, biomedicine, wastewater treatment, and CO2 capture. Full article
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25 pages, 1138 KiB  
Review
Complexation of REE in Hydrothermal Fluids and Its Significance on REE Mineralization
by Jian Di and Xing Ding
Minerals 2024, 14(6), 531; https://doi.org/10.3390/min14060531 (registering DOI) - 21 May 2024
Abstract
Rare earth elements (REEs) have recently been classified as critical and strategic metals due to their importance in modern society. Research on the geochemical behaviors and mineralization of REEs not only provides essential guidance for mineral exploration but also holds great significance in [...] Read more.
Rare earth elements (REEs) have recently been classified as critical and strategic metals due to their importance in modern society. Research on the geochemical behaviors and mineralization of REEs not only provides essential guidance for mineral exploration but also holds great significance in enhancing our understanding of Earth’s origin and evolution. This paper reviews recent research on the occurrence characteristics, deposit types, and hydrothermal behaviors of REEs, with a particular focus on comparing the complexation and transport of REEs by F, Cl, S, C, P, OH, and organic ligands in fluids. Due to the very weak hydrolysis of REE ions, they predominantly exist as either hydrated ions or free ions in low-temperature and acidic to weakly basic fluids. As the ligand activity increases, the general order of transporting REEs is Cl ≈ > F ≈ > > OH under acidic conditions or OH > ≈ Cl > F under alkaline conditions. In acidic to neutral hydrothermal systems, the transport of REEs is primarily dominated by and Cl ions while the deposition of REEs could be influenced by F, , and ions. In neutral to alkaline hydrothermal systems, REEs mainly exist in fluids as hydroxyl complexes or other ligand-bearing hydroxyl complexes. Additionally suggested are further comprehensive investigations that will fill significant gaps in our understanding of mechanisms governing the transport and enrichment of REEs in hydrothermal fluids. Full article
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19 pages, 786 KiB  
Review
Role of Mesenchymal Stem/Stromal Cells (MSCs) and MSC-Derived Extracellular Vesicles (EVs) in Prevention of Telomere Length Shortening, Cellular Senescence, and Accelerated Biological Aging
by Myrna Y. Gonzalez Arellano, Matthew VanHeest, Sravya Emmadi, Amal Abdul-Hafez, Sherif Abdelfattah Ibrahim, Ranga P. Thiruvenkataramani, Rasha S. Teleb, Hady Omar, Tulasi Kesaraju, Tarek Mohamed, Burra V. Madhukar and Said A. Omar
Bioengineering 2024, 11(6), 524; https://doi.org/10.3390/bioengineering11060524 (registering DOI) - 21 May 2024
Abstract
Biological aging is defined as a progressive decline in tissue function that eventually results in cell death. Accelerated biologic aging results when the telomere length is shortened prematurely secondary to damage from biological or environmental stressors, leading to a defective reparative mechanism. Stem [...] Read more.
Biological aging is defined as a progressive decline in tissue function that eventually results in cell death. Accelerated biologic aging results when the telomere length is shortened prematurely secondary to damage from biological or environmental stressors, leading to a defective reparative mechanism. Stem cells therapy may have a potential role in influencing (counteract/ameliorate) biological aging and maintaining the function of the organism. Mesenchymal stem cells, also called mesenchymal stromal cells (MSCs) are multipotent stem cells of mesodermal origin that can differentiate into other types of cells, such as adipocytes, chondrocytes, and osteocytes. MSCs influence resident cells through the secretion of paracrine bioactive components such as cytokines and extracellular vesicles (EVs). This review examines the changes in telomere length, cellular senescence, and normal biological age, as well as the factors contributing to telomere shortening and accelerated biological aging. The role of MSCs—especially those derived from gestational tissues—in prevention of telomere shortening (TS) and accelerated biological aging is explored. In addition, the strategies to prevent MSC senescence and improve the antiaging therapeutic application of MSCs and MSC-derived EVs in influencing telomere length and cellular senescence are reviewed. Full article
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