The 2023 MDPI Annual Report has
been released!
 
21 pages, 4427 KiB  
Article
Ship Detection in Maritime Scenes under Adverse Weather Conditions
by Qiuyu Zhang, Lipeng Wang, Hao Meng, Zhi Zhang and Chunsheng Yang
Remote Sens. 2024, 16(9), 1567; https://doi.org/10.3390/rs16091567 (registering DOI) - 28 Apr 2024
Abstract
Point cloud-based detection focuses on land traffic, rarely marine, facing issues with ships: it struggles in bad weather due to reliance on adverse weather data and fails to detect ships effectively due to overlooking size and appearance differences. Addressing the above challenges, our [...] Read more.
Point cloud-based detection focuses on land traffic, rarely marine, facing issues with ships: it struggles in bad weather due to reliance on adverse weather data and fails to detect ships effectively due to overlooking size and appearance differences. Addressing the above challenges, our work introduces point cloud data of marine scenarios under realistically simulated adverse weather conditions and a dedicated Ship Detector tailored for marine environments. To adapt to various maritime weather conditions, we simulate realistic rain and fog in collected marine scene point cloud data. Additionally, addressing the issue of losing geometric and height information during feature extraction for large objects, we propose a Ship Detector. It employs a dual-branch sparse convolution layer for extracting multi-scale 3D feature maps, effectively minimizing height information loss. Additionally, a multi-scale 2D convolution module is utilized, which encodes and decodes feature maps and directly employs 3D feature maps for target prediction. To reduce dependency on existing data and enhance model robustness, our training dataset includes simulated point cloud data representing adverse weather conditions. In maritime point cloud ship detection, our Ship Detector, compared to adjusted small object detectors, demonstrates the best performance. Full article
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12 pages, 844 KiB  
Article
Effects of Temperature, Ionic Strength and Humic Acid on the Transport of Graphene Oxide Nanoparticles in Geosynthetic Clay Liner
by Yaohui Liu and Tao Jiang
Materials 2024, 17(9), 2082; https://doi.org/10.3390/ma17092082 (registering DOI) - 28 Apr 2024
Abstract
With the wide application of graphene oxide nanoparticles (GONPs), a great amount of GONP waste is discarded and concentrated in landfills. It has been proven that GONPs have strong toxicity and could gather toxic substances due to their high adsorption capacity. GONPs will [...] Read more.
With the wide application of graphene oxide nanoparticles (GONPs), a great amount of GONP waste is discarded and concentrated in landfills. It has been proven that GONPs have strong toxicity and could gather toxic substances due to their high adsorption capacity. GONPs will seriously pollute the surrounding environment if they leak through the geosynthetic clay liner (GCL) in landfills. To investigate various factors (temperature, ionic strength (IS) and humic acid (HA)) on the transport and retention of GONPs in the GCL, a self-designed apparatus was created and column tests were carried out. The experimental results show that GONPs could be transported through the GCL. The mobility and sorption ratio of GONPs in GCL decreased with an increase in temperature and IS, and increased with an increase in HA. The temperature had little effect on the deposition ratio of GONPs in the GCL. The deposition ratio of GONPs in the GCL increased with IS, and decreased with an increase in HA. The transport of GONPs in GCL, glass beads and quartz sand was compared, and the results show that the retention ability of the GCL is much better than other porous materials. The experimental results could provide significant references for the pollution treatment in landfills. Full article
13 pages, 730 KiB  
Article
Comparison of Perioperative, Functional, and Oncologic Outcomes of Open vs. Robot-Assisted Off-Clamp Partial Nephrectomy: A Propensity Scored Match Analysis
by Riccardo Mastroianni, Giuseppe Chiacchio, Leonard Perpepaj, Gabriele Tuderti, Aldo Brassetti, Umberto Anceschi, Mariaconsiglia Ferriero, Leonardo Misuraca, Simone D’Annunzio, Alfredo Maria Maria Bove, Salvatore Guaglianone, Rocco Simone Simone Flammia, Flavia Proietti, Marco Pula, Giulio Milanese, Costantino Leonardo, Andrea Benedetto Benedetto Galosi and Giuseppe Simone
Sensors 2024, 24(9), 2822; https://doi.org/10.3390/s24092822 (registering DOI) - 28 Apr 2024
Abstract
Off-clamp partial nephrectomy represents one of the latest developments in nephron-sparing surgery, with the goal of preserving renal function and reducing ischemia time. The aim of this study was to evaluate and compare the functional, oncologic, and perioperative outcomes between off-clamp robot-assisted partial [...] Read more.
Off-clamp partial nephrectomy represents one of the latest developments in nephron-sparing surgery, with the goal of preserving renal function and reducing ischemia time. The aim of this study was to evaluate and compare the functional, oncologic, and perioperative outcomes between off-clamp robot-assisted partial nephrectomy (off-C RAPN) and off-clamp open partial nephrectomy (off-C OPN) through a propensity score-matched (PSM) analysis. A 1:1 PSM analysis was used to balance variables potentially affecting postoperative outcomes. To report surgical quality, 1 year trifecta was used. Univariable Cox regression analysis was performed to identify predictors of trifecta achievement. The Kaplan–Meier method was used to compare cancer-specific survival (CSS), overall survival (OS), disease-free survival (DFS), and metastasis-free survival (MFS) probabilities between groups. Overall, 542 patients were included. After PSM analysis, two homogeneous cohorts of 147 patients were obtained. The off-C RAPN cohort experienced shorter length of stay (LoS) (3.4 days vs. 5.4 days; p < 0.001), increased likelihoods of achieving 1 year trifecta (89.8% vs. 80.3%; p = 0.03), lower postoperative Clavien–Dindo ≤ 2 complications (1.3% vs. 18.3%, p < 0.001), and lower postoperative transfusion rates (3.4% vs. 12.2%, p = 0.008). At univariable analysis, the surgical approach (off-C RAPN vs. off-C OPN, OR 2.22, 95% CI 1.09–4.46, p = 0.02) was the only predictor of 1 year trifecta achievement. At Kaplan–Meier analysis, no differences were observed between the two groups in terms of OS (log-rank p = 0.451), CSS (log-rank p = 0.476), DFS (log-rank p = 0.678), and MFS (log-rank p = 0.226). Comparing RAPN and OPN in a purely off-clamp scenario, the minimally invasive approach proved to be a feasible and safe surgical approach, with a significantly lower LoS and minor rate of postoperative complications and transfusions as a result of improved surgical quality expressed by higher 1 year trifecta achievement. Full article
(This article belongs to the Section Sensors and Robotics)
19 pages, 1158 KiB  
Essay
A Holistic Approach to Early Relational Health: Cultivating Culture, Diversity, and Equity
by Dominique Charlot-Swilley, Kandace Thomas, Christina F. Mondi, David W. Willis and Marie-Celeste Condon
Int. J. Environ. Res. Public Health 2024, 21(5), 563; https://doi.org/10.3390/ijerph21050563 (registering DOI) - 28 Apr 2024
Abstract
Early Relational Health (ERH) is the foundation for infant and child emotional and social wellbeing. ERH is a quality of relationships co-created by infants, caregivers, and other members of their families and communities from pregnancy through childhood. Relationships themselves are not ERH; rather, [...] Read more.
Early Relational Health (ERH) is the foundation for infant and child emotional and social wellbeing. ERH is a quality of relationships co-created by infants, caregivers, and other members of their families and communities from pregnancy through childhood. Relationships themselves are not ERH; rather, ERH can be a feature of relationships. Those that are characterized by positive, shared emotionality become contexts within which members co-develop mutual capacities that enable them to prevail and flourish. This essay offers a synthesis of current knowledge about ERH in the US and begins to integrate Indigenous and non-Indigenous research and knowledge about ERH in the hope that readers will embrace “Etuaptmumk”—“Two-Eyed Seeing”. The authors maintain that systems of care for infants, families, and their communities must first and foremost attend to revitalization, cultural context, diversity, equity, and inclusion. Authors discuss key concepts in ERH; Indigenous and non-Indigenous research that inform ERH; structural and systemic factors in the US that affect ERH ecosystems; the critical intersections of culture, diversity, equity; the broader concept of village support for fostering ERH; and efforts to revitalize ERH discourse, practices, and policies. The authors advocate for a holistic approach to ERH and suggest future directions for research and advocacy. Full article
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18 pages, 14202 KiB  
Article
A Dynamic Propagation Numerical Model of Hydraulic Fracture Interactions with Pre-Existing Complex Natural Fractures
by Shuangming Li, Huan Zhao, Jianbo Wang, Xiaorui Xie, Lan Qin, Linhao Zou and Yapeng Liu
Processes 2024, 12(5), 899; https://doi.org/10.3390/pr12050899 (registering DOI) - 28 Apr 2024
Abstract
The propagation of hydraulic fractures is highly influenced by the geological structure of the reservoir in unconventional reservoirs, such as natural fractures. In this paper, a new fluid–solid coupling dynamic model was built which presents the failure mechanism of hydraulic fracture with pre-existing [...] Read more.
The propagation of hydraulic fractures is highly influenced by the geological structure of the reservoir in unconventional reservoirs, such as natural fractures. In this paper, a new fluid–solid coupling dynamic model was built which presents the failure mechanism of hydraulic fracture with pre-existing simple and complex natural fractures. The cohesive element method and the maximum principal stress fracture criterion were used in the new model. An analysis was conducted to investigate the impact of various factors, including encounter angle, in situ stress, elastic modulus, and Poisson’s ratio, on the propagation of hydraulic fractures. The simulation results indicate that the encounter angle and the in situ stress are the main factors affecting the fracture morphology. When the encounter angle and the in situ stress difference are small, hydraulic fractures propagate along natural fractures. When the elastic modulus is small, it is advantageous for the advancement of both hydraulic and natural fractures. The Poisson’s ratio has a slight effect on the fracture propagation pattern. Full article
(This article belongs to the Section Energy Systems)
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24 pages, 993 KiB  
Review
Hydrogen Sulfide and Irisin, Potential Allies in Ensuring Cardiovascular Health
by Lorenzo Flori, Giada Benedetti, Vincenzo Calderone and Lara Testai
Antioxidants 2024, 13(5), 543; https://doi.org/10.3390/antiox13050543 (registering DOI) - 28 Apr 2024
Abstract
Irisin is a myokine secreted under the influence of physical activity and exposure to low temperatures and through different exogenous stimuli by the cleavage of its precursor, fibronectin type III domain-containing protein 5 (FNDC5). It is mainly known for maintaining of metabolic homeostasis, [...] Read more.
Irisin is a myokine secreted under the influence of physical activity and exposure to low temperatures and through different exogenous stimuli by the cleavage of its precursor, fibronectin type III domain-containing protein 5 (FNDC5). It is mainly known for maintaining of metabolic homeostasis, promoting the browning of white adipose tissue, the thermogenesis process, and glucose homeostasis. Growing experimental evidence suggests the possible central role of irisin in the regulation of cardiometabolic pathophysiological processes. On the other side, hydrogen sulfide (H2S) is well recognized as a pleiotropic gasotransmitter that regulates several homeostatic balances and physiological functions and takes part in the pathogenesis of cardiometabolic diseases. Through the S-persulfidation of cysteine protein residues, H2S is capable of interacting with crucial signaling pathways, exerting beneficial effects in regulating glucose and lipid homeostasis as well. H2S and irisin seem to be intertwined; indeed, recently, H2S was found to regulate irisin secretion by activating the peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α)/FNDC5/irisin signaling pathway, and they share several mechanisms of action. Their involvement in metabolic diseases is confirmed by the detection of their lower circulating levels in obese and diabetic subjects. Along with the importance of metabolic disorders, these modulators exert favorable effects against cardiovascular diseases, preventing incidents of hypertension, atherosclerosis, heart failure, myocardial infarction, and ischemia–reperfusion injury. This review, for the first time, aims to explore the role of H2S and irisin and their possible crosstalk in cardiovascular diseases, pointing out the main effects exerted through the common molecular pathways involved. Full article
14 pages, 27675 KiB  
Article
Analysis of Seismic Response Characteristics of Fractured Carbonate Reservoirs Based on Physical Model (Tarim Basin)
by Li Wei, Bangrang Di and Jianxin Wei
Appl. Sci. 2024, 14(9), 3775; https://doi.org/10.3390/app14093775 (registering DOI) - 28 Apr 2024
Abstract
Anomalous bright spots, called the string of bead-like response, are typical seismic migration profile features in carbonate fractured reservoirs in the Tarim Basin, and they are indicators of high-quality oil and gas reservoirs. Correctly recognizing the correspondence between fractures and the SBLR can [...] Read more.
Anomalous bright spots, called the string of bead-like response, are typical seismic migration profile features in carbonate fractured reservoirs in the Tarim Basin, and they are indicators of high-quality oil and gas reservoirs. Correctly recognizing the correspondence between fractures and the SBLR can contribute to the efficient drilling of target carbonate fractured reservoirs. Physical models can describe fractured reservoirs more directly and efficiently than real situations and have obvious advantages in accurately and quantitatively designing parameters such as dipping angles and the number of layers of fractured reservoirs. Under such a background, according to the real tectonic characteristics of the Tarim Basin, among the main hydrocarbon reservoirs, fractured reservoirs with various parameters were designed and a physical model was constructed according to the real stratigraphic parameters. After seismic data acquisition and processing, the response characteristics of the string of bead-like response were extracted and summarized from seismic migration profiles for all fractured reservoirs, which provided targeted analyses and discussions on the fracture dipping angle, number of fracture layers, overlying stratigraphic influences, and planar attributes of the fractured reservoirs. In general, the larger the fracture dip, the more difficult it is to identify, while the slope of reflection strength and maximum absolute amplitude attributes can be important markers for fractured reservoir identification. The physical modeling study of fractured reservoirs in this paper can provide a basis for the analysis and prediction of carbonate fractured reservoirs in the Tarim Basin. Full article
(This article belongs to the Special Issue State-of-the-Art Earth Sciences and Geography in China)
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22 pages, 1005 KiB  
Article
Mainstreaming Climate Change Adaptation into Sectoral Plans: An Assessment Based on the Logical Framework Approach
by Antonio Ledda, Vittorio Serra, Maria Grazia Gavina Ruiu, Antonietta Bardi, Daniele Trogu, Elisabetta Anna Di Cesare and Andrea De Montis
Sustainability 2024, 16(9), 3705; https://doi.org/10.3390/su16093705 (registering DOI) - 28 Apr 2024
Abstract
Although climate change adaptation (CCA) and spatial planning are relevant to promoting climate resilience, Italy shows a certain lack of studies focused on the coherence between national CCA objectives and sectoral plans. We aim to investigate such a research gap and propose and [...] Read more.
Although climate change adaptation (CCA) and spatial planning are relevant to promoting climate resilience, Italy shows a certain lack of studies focused on the coherence between national CCA objectives and sectoral plans. We aim to investigate such a research gap and propose and apply a logical framework approach (LFA)-based method to assess the coherence of sectoral plans adopted in Sardinia (Italy) with the missions of the Italian National Climate Change Adaptation Plan (NCCAP). We apply LFA to analytically scrutinize sectoral plans by reconstructing their strategic framework—including objectives and actions—and comparing them to the CCA objectives established by the NCCAP. The purpose is to provide the regional administrations with a methodological approach and tangible findings, suggesting the need for updating plans lacking CCA contents and contributing to the drafting or updating of the regional strategy for CCA. The method adopted in this study allowed us to identify plan objectives and actions that fully or partially integrate NCCAP objectives. Then, plans partially (or not at all) consistent with the NCCAP can be integrated with CCA contents. This is relevant to promoting climate resilience issues in plans that have clear effects in terms of spatial, landscape, and urban planning, according to different governance levels. Full article
19 pages, 813 KiB  
Article
An Improved Fourier-Based Method for Path Generation of Planar Four-Bar Linkages without Prescribed Timing
by Yahui Qian, Hong Zhong, Tao Wang and Liangmo Wang
Machines 2024, 12(5), 299; https://doi.org/10.3390/machines12050299 (registering DOI) - 28 Apr 2024
Abstract
Four-bar linkages are critical fundamental elements of many mechanical systems, and their design synthesis is often mathematically complicated with iterative numerical solutions. Analytical methods based on Fourier coefficients can circumvent these difficulties but have issues with time parameters assignment for path generation without [...] Read more.
Four-bar linkages are critical fundamental elements of many mechanical systems, and their design synthesis is often mathematically complicated with iterative numerical solutions. Analytical methods based on Fourier coefficients can circumvent these difficulties but have issues with time parameters assignment for path generation without prescribed time in previous studies. In this paper, an improved Fourier-based point-to-point combination method is presented, which generates more points by Fourier approximation and assigns the time parameters to the given points while allowing discarding solutions with order defects. This method relies on the Fourier coefficients, improving the accuracy of synthesis solutions, and simplifying the computational procedure. Time parameters are assigned directly to the given points, which avoids the complex calculations to find intersection points in the given path, eliminates combinations that would lead to solutions with order defects, and simplifies the assessment process of synthesis results. The parameters obtained by the point-to-point combination method can be used as the parameters of the input dyad, skipping the first set of design equations for faster calculation. Several examples are presented to demonstrate the advantages of the proposed synthesis method, which is easy-understanding, computationally efficient, and yields more accurate solutions than available synthesis methods. Full article
(This article belongs to the Section Machine Design and Theory)
13 pages, 272 KiB  
Article
Attached Flows for Reaction–Diffusion Processes Described by a Generalized Dodd–Bullough–Mikhailov Equation
by Carmen Ionescu and Iulian Petrisor
Symmetry 2024, 16(5), 531; https://doi.org/10.3390/sym16050531 (registering DOI) - 28 Apr 2024
Abstract
This paper uses the attached flow method for solving nonlinear second-order differential equations of the reaction–diffusion type. The key steps of the method consist of the following: (i) reducing the differentiability order by defining the first derivative of the variable as a new [...] Read more.
This paper uses the attached flow method for solving nonlinear second-order differential equations of the reaction–diffusion type. The key steps of the method consist of the following: (i) reducing the differentiability order by defining the first derivative of the variable as a new variable called the flow and (ii) a forced decomposition of the derivative-free term so that the flow appears explicitly in it. The resulting reduced equation is solved using specific balancing rules. Only step (i) would lead to an Abel-type equation with complicated integral solutions. Completed with (ii) and with the graduation procedure, the attached flow method used in the paper, without requiring such a great effort, allows for the obtaining of accurate analytical solutions. The method is applied here to a subclass of reaction–diffusion equations, the generalized Dodd–Bulough–Mikhailov equation, which includes a translation of the variable and nonlinearities up to order five. The equation is solved for each order of nonlinearity, and the solutions are discussed following the values of the parameters involved in the equation. Full article
16 pages, 1744 KiB  
Article
Quasi-Isotropy Structure and Characteristics of the Ultrasonic-Assisted WAAM High-Toughness Al Alloy
by Wei Luo, Peng Xu, Ming Zhang and Jiangshan Li
Coatings 2024, 14(5), 551; https://doi.org/10.3390/coatings14050551 (registering DOI) - 28 Apr 2024
Abstract
Wire Arc Additive Manufacturing (WAAM) has emerged as a highly promising method for the production of large-scale metallic structures; nonetheless, the presence of microstructural inhomogeneities, anisotropic properties, and porosity defects within WAAM Al alloys has substantially hindered their broader application. To surmount these [...] Read more.
Wire Arc Additive Manufacturing (WAAM) has emerged as a highly promising method for the production of large-scale metallic structures; nonetheless, the presence of microstructural inhomogeneities, anisotropic properties, and porosity defects within WAAM Al alloys has substantially hindered their broader application. To surmount these obstacles, ultrasonic-assisted WAAM was applied in the fabrication of thin-wall structures utilizing 7075 Al alloy. This study investigates the effects of ultrasonic-assisted Wire Arc Additive Manufacturing (WAAM) on the structural and mechanical properties of 7075 Al alloy specimens. Microstructural analysis showed a significant refinement in grain distribution, with the average grain size notably reduced, enhancing the material’s homogeneity. Porosity across the specimens was quantified, showing a decrease in values from the upper (0.02151) to the middle (0.01347) and lower sections (0.01785), correlating with the rapid cooling effects of WAAM. Mechanical testing revealed that ultrasonic application contributes to a consistent hardness pattern, with measurements averaging 70.71 HV0.1 horizontally and 71.23 HV0.1 vertically, and significantly impacts tensile strength; the horizontally oriented specimen exhibited a tensile strength of 236.03 MPa, a yield strength of 90.29 MPa, and an elongation of 31.10% compared to the vertically oriented specimen which showed reduced mechanical properties due to the presence of defects such as porosity and cracks. The fracture morphology analysis confirmed a predominantly ductile fracture mode, supported by the widespread distribution of dimples on the fracture surface. The integration of ultrasonic vibrations not only refined the grain structure but also modified the secondary phase distribution, enhancing the quasi-isotropic properties of the alloy. These results underline the potential of ultrasonic-assisted WAAM in improving the performance of the 7075 Al alloy for critical applications in the aerospace and automotive industries, suggesting a promising direction for future research and technological advancement in additive manufacturing processes. Full article
19 pages, 1646 KiB  
Article
Preparation and High-Temperature Resistance Properties of Phenolic Resin/Phosphate Hybrid Coatings
by Qinzhe Li, Yu Zhang, Lizhen Zhou, Peng Lei, Jiangyan Liu, Fuli Wang, Xueyun Xiang, Hang Wu, Wen Wang and Fuhui Wang
Materials 2024, 17(9), 2081; https://doi.org/10.3390/ma17092081 (registering DOI) - 28 Apr 2024
Abstract
In this study, a novel fabrication method was used to synthesize phenolic resin/phosphate hybrid coatings using aluminum dihydrogen phosphate (Al(H2PO4)3, hereafter denoted as Al), SC101 silica sol (Si) as the primary film-forming agent, and phenolic resin (PF) [...] Read more.
In this study, a novel fabrication method was used to synthesize phenolic resin/phosphate hybrid coatings using aluminum dihydrogen phosphate (Al(H2PO4)3, hereafter denoted as Al), SC101 silica sol (Si) as the primary film-forming agent, and phenolic resin (PF) as the organic matrix. This approach culminated in the formation of Al+Si+PF organo–inorganic hybrid coatings. Fourier-transform infrared spectroscopy (FT-IR) and X-ray photoelectron spectroscopy (XPS) results confirmed the successful integration of hybrid structures within these coatings. The crystalline structure of the coatings post-cured at various temperatures was elucidated using X-ray diffraction (XRD). Additionally, the surface and cross-sectional morphologies were meticulously analyzed using scanning electron microscopy (SEM), offering insights into the microstructural properties of the coatings. The coatings’ porosities under diverse thermal and temporal regimes were quantitatively evaluated using advanced image processing techniques, revealing a significant reduction in porosity to a minimum of 5.88% following a thermal oxidation process at 600 °C for 10 h. The antioxidant efficacy of the phosphate coatings was rigorously assessed through cyclic oxidation tests, which revealed their outstanding performance. Specifically, at 300 °C across 300 h of cyclic oxidation, the weight losses recorded for phosphate varnish and the phenolic resin-infused phosphate coatings were 0.15 mg·cm−2 and 0.09 mg·cm−2, respectively. Furthermore, at 600 °C and over an identical period, the weight reduction was noted as 0.21 mg·cm−2 for phosphate varnish and 0.085 mg·cm−2 for the hybrid coatings, thereby substantiating the superior antioxidation capabilities of the phenolic resin hybrid coatings in comparison to the pure phosphate varnish. Full article
15 pages, 3128 KiB  
Article
Galf-Specific Neolectins: Towards Promising Diagnostic Tools
by Mateja Seničar, Benoît Roubinet, Pierre Lafite, Laurent Legentil, Vincent Ferrières, Ludovic Landemarre and Richard Daniellou
Int. J. Mol. Sci. 2024, 25(9), 4826; https://doi.org/10.3390/ijms25094826 (registering DOI) - 28 Apr 2024
Abstract
In the absence of naturally available galactofuranose-specific lectin, we report herein the bioengineering of GalfNeoLect, from the first cloned wild-type galactofuranosidase (Streptomyces sp. strain JHA19), which recognises and binds a single monosaccharide that is only related to nonmammalian species, usually [...] Read more.
In the absence of naturally available galactofuranose-specific lectin, we report herein the bioengineering of GalfNeoLect, from the first cloned wild-type galactofuranosidase (Streptomyces sp. strain JHA19), which recognises and binds a single monosaccharide that is only related to nonmammalian species, usually pathogenic microorganisms. We kinetically characterised the GalfNeoLect to confirm attenuation of hydrolytic activity and used competitive inhibition assay, with close structural analogues of Galf, to show that it conserved interaction with its original substrate. We synthetised the bovine serum albumin-based neoglycoprotein (GalfNGP), carrying the multivalent Galf units, as a suitable ligand and high-avidity system for the recognition of GalfNeoLect which we successfully tested directly with the galactomannan spores of Aspergillus brasiliensis (ATCC 16404). Altogether, our results indicate that GalfNeoLect has the necessary versatility and plasticity to be used in both research and diagnostic lectin-based applications. Full article
(This article belongs to the Special Issue New Advances in Glycobiotechnology)
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17 pages, 706 KiB  
Article
Verification Agencies on TikTok: The Case of MediaWise and Politifact
by Antonio Díaz-Lucena and Pablo Hidalgo-Cobo
Societies 2024, 14(5), 59; https://doi.org/10.3390/soc14050059 (registering DOI) - 28 Apr 2024
Abstract
This research aims to analyse the work of two international information verification agencies on TikTok ─MediaWise and Politifact—according to their evolution, approach, content, and format. To this end, a quantitative approach has been used with an inductive content analysis with nominal [...] Read more.
This research aims to analyse the work of two international information verification agencies on TikTok ─MediaWise and Politifact—according to their evolution, approach, content, and format. To this end, a quantitative approach has been used with an inductive content analysis with nominal variables, which offers specific nuances adapted to the unit of analysis. In a first phase, an empirical analysis was carried out, focusing on the measurement and quantification of the number of publications and interactions of the audience, from the time Fthey started operating on this platform until 31 December 2023. The total number of posts extracted was N > 704, which generated N > 4,166,387 user responses. In a second phase, an in-depth content analysis of all the posts published by these two agencies in four months (October and November 2021 and October and November 2023) was carried out, allowing us to analyse their evolution, but also to compare the two agencies in terms of approach, themes, and style. The most important findings show that both agencies adapt the style and narratives to this social network through the use of dynamic resources, a casual and informal tone, and elements of humour. In addition, both contribute to public reason through different strategies: MediaWise focuses on media literacy and Politifact on verification, using resources, effects and content in line with that purpose. Finally, we observe a downward evolution in terms of reach and impact on the audience, as well as a lower dynamism in 2023 than in 2021, which opens the door to future lines of explanatory research that delve deeper into possible causes. Full article
(This article belongs to the Special Issue Democracy, Social Networks and Mediatization)
27 pages, 9157 KiB  
Article
PRKDC-Mediated NHEJ May Play a Crucial Role in Aneuploidy of Chromosome 8-Driven Progression of Ovarian Cancer
by Wenqing Luan, Hongyan Cheng, Haoling Xie, Huiping Liu, Yicheng Wang, Shang Wang, Xue Ye, Honglan Zhu, Fuchou Tang, Yi Li and Xiaohong Chang
Int. J. Mol. Sci. 2024, 25(9), 4825; https://doi.org/10.3390/ijms25094825 (registering DOI) - 28 Apr 2024
Abstract
High malignancy is a prominent characteristic of epithelial ovarian cancer (EOC), emphasizing the necessity for further elucidation of the potential mechanisms underlying cancer progression. Aneuploidy and copy number variation (CNV) partially contribute to the heightened malignancy observed in EOC; however, the precise features [...] Read more.
High malignancy is a prominent characteristic of epithelial ovarian cancer (EOC), emphasizing the necessity for further elucidation of the potential mechanisms underlying cancer progression. Aneuploidy and copy number variation (CNV) partially contribute to the heightened malignancy observed in EOC; however, the precise features of aneuploidy and their underlying molecular patterns, as well as the relationship between CNV and aneuploidy in EOC, remain unclear. In this study, we employed single-cell sequencing data along with The Cancer Genome Atlas (TCGA) to investigate aneuploidy and CNV in EOC. The technique of fluorescence in situ hybridization (FISH) was employed using specific probes. The copy number variation within the genomic region of chromosome 8 (42754568-47889815) was assessed and utilized as a representative measure for the ploidy status of individual cells in chromosome 8. Differential expression analysis was performed between different subgroups based on chromosome 8 ploidy. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein–protein interaction (PPI), and hub–gene analyses were subsequently utilized to identify crucial genes involved. By classifying enriched tumor cells into distinct subtypes based on chromosome 8 ploidy combined with TCGA data integration, we identified key genes driving chromosome 8 aneuploidy in EOC, revealing that PRKDC gene involvement through the mediated non-homologous end-joining pathway may play a pivotal role in disease progression. Further validation through analysis of the GEO and TCGA database and survival assessment, considering both mRNA expression levels and CNV status of PRKDC, has confirmed its involvement in the progression of EOC. Further functional analysis revealed an upregulation of PRKDC in both ovarian EOC cells and tissues, with its expression showing a significant correlation with the extent of copy number variation (CNV) on chromosome 8. Taken together, CNV amplification and aneuploidy of chromosome 8 are important characteristics of EOC. PRKDC and the mediated NHEJ pathway may play a crucial role in driving aneuploidy on chromosome 8 during the progression of EOC. Full article
18 pages, 2191 KiB  
Article
Online Estimation of Three-Phase Induction Motor Parameters Using an Extended Kalman Filter for Energy Saving
by Sasiya Udomsuk, Kongpol Areerak, Tidarut Areerak and Kongpan Areerak
Energies 2024, 17(9), 2115; https://doi.org/10.3390/en17092115 (registering DOI) - 28 Apr 2024
Abstract
In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d-axis is calculated to obtain the minimum power loss. Accurate motor parameters [...] Read more.
In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d-axis is calculated to obtain the minimum power loss. Accurate motor parameters are required to calculate the optimal stator current value for energy saving. Hence, to estimate motor parameters in real time, an online estimator known as the extended Kalman filter is applied. The energy consumption results for the motor using the proposed approach (estimated parameters with extended Kalman filter) are compared with those obtained using the conventional approach and energy saving (fixed parameters without parameter estimation) approach. As revealed by the comparison results from implementation in a laboratory, the proposed approach can provide minimum power losses for the three-phase induction motor drive, and the maximum energy-saving percentage is 60.18% compared with using the conventional drive approach. Full article
(This article belongs to the Section F: Electrical Engineering)
14 pages, 398 KiB  
Article
Effect of Nucleic Acid Analog Administration on Fluctuations in the Albumin-to-Globulin Ratio in Cats with Feline Infectious Peritonitis
by Masato Katayama, Yukina Uemura and Daichi Katori
Animals 2024, 14(9), 1322; https://doi.org/10.3390/ani14091322 (registering DOI) - 28 Apr 2024
Abstract
Background: feline infectious peritonitis (FIP) is a fatal disease in cats classified as either effusive (‘wet’), non-effusive (‘dry’), or a mixture of both forms (‘mixed’). The anti-FIP therapeutic effects of Mutian and molnupiravir, two drugs with a nucleic acid analog as an active [...] Read more.
Background: feline infectious peritonitis (FIP) is a fatal disease in cats classified as either effusive (‘wet’), non-effusive (‘dry’), or a mixture of both forms (‘mixed’). The anti-FIP therapeutic effects of Mutian and molnupiravir, two drugs with a nucleic acid analog as an active ingredient, have been confirmed recently. Methods: Of the cats with FIP, we observed a total of 122 and 56 cases that achieved remission after the administration of Mutian and molnupiravir as routine treatments, respectively. Changes in clinical indicators suggested to be correlated with FIP remission (weight, hematocrit, and albumin-to-globulin ratio) before and after the administration of each drug and during follow-up observation were statistically compared for each FIP type. Results: In all three FIP types, the administration of either Mutian or molnupiravir resulted in statistically significant increases in these indicators. Furthermore, the effect of Mutian on improving the albumin-to-globulin ratio was not observed at all in wet FIP, as compared with that of molnupiravir, but statistically significant in mixed and dry (p < 0.02 and p < 0.003, respectively). The differences in albumin-to-globulin ratio were all due to those of circulating globulin levels. Conclusions: These results indicate that slight inflammatory responses might be elicited continuously by a residual virus that persisted through molnupiravir treatments. Full article
(This article belongs to the Section Veterinary Clinical Studies)
16 pages, 4145 KiB  
Technical Note
Annual and Seasonal Variations in Aerosol Optical Characteristics in the Huai River Basin, China from 2007 to 2021
by Xu Deng, Chenbo Xie, Dong Liu and Yingjian Wang
Remote Sens. 2024, 16(9), 1571; https://doi.org/10.3390/rs16091571 (registering DOI) - 28 Apr 2024
Abstract
Over the past three decades, China has seen aerosol levels substantially surpass the global average, significantly impacting regional climate. This study investigates the long-term and seasonal variations of aerosols in the Huai River Basin (HRB) using MODIS, CALIOP observations from 2007 to 2021, [...] Read more.
Over the past three decades, China has seen aerosol levels substantially surpass the global average, significantly impacting regional climate. This study investigates the long-term and seasonal variations of aerosols in the Huai River Basin (HRB) using MODIS, CALIOP observations from 2007 to 2021, and ground-based measurements. A notable finding is a significant decline in the annual mean Aerosol Optical Depth (AOD) across the HRB, with MODIS showing a decrease of approximately 0.023 to 0.027 per year, while CALIOP, which misses thin aerosol layers, recorded a decrease of about 0.016 per year. This downward trend is corroborated by improvements in air quality, as evidenced by PM2.5 measurements and visibility-based aerosol extinction coefficients. Aerosol decreases occurred at all heights, but for aerosols below 800 m, with an annual AOD decrease of 0.011. The study also quantifies the long-term trends of five major aerosol types, identifying Polluted Dust (PD) as the predominant frequency type (46%), which has significantly decreased, contributing to about 68% of the total AOD reduction observed by CALIOP (0.011 per year). Despite this, Dust and Polluted Continental (PC) aerosols persist, with PC showing no clear trend of decrease. Seasonal analysis reveals aerosol peaks in summer, contrary to surface measurements, attributed to variations in the Boundary Layer (BL) depth, affecting aerosol distribution and extinction. Furthermore, the study explores the influence of seasonal wind patterns on aerosol type variation, noting that shifts in wind direction contribute to the observed changes in aerosol types, particularly affecting Dust and PD occurrences. The integration of satellite and ground measurements provides a comprehensive view of regional aerosol properties, highlighting the effectiveness of China’s environmental policies in aerosol reduction. Nonetheless, the persistence of high PD and PC levels underscores the need for continued efforts to reduce both primary and secondary aerosol production to further enhance regional air quality. Full article
(This article belongs to the Section Atmospheric Remote Sensing)
22 pages, 16858 KiB  
Article
Seedling-YOLO: High-Efficiency Target Detection Algorithm for Field Broccoli Seedling Transplanting Quality Based on YOLOv7-Tiny
by Tengfei Zhang, Jinhao Zhou, Wei Liu, Rencai Yue, Mengjiao Yao, Jiawei Shi and Jianping Hu
Agronomy 2024, 14(5), 931; https://doi.org/10.3390/agronomy14050931 (registering DOI) - 28 Apr 2024
Abstract
The rapid and accurate detection of broccoli seedling planting quality is crucial for the implementation of robotic intelligent field management. However, existing algorithms often face issues of false detections and missed detections when identifying the categories of broccoli planting quality. For instance, the [...] Read more.
The rapid and accurate detection of broccoli seedling planting quality is crucial for the implementation of robotic intelligent field management. However, existing algorithms often face issues of false detections and missed detections when identifying the categories of broccoli planting quality. For instance, the similarity between the features of broccoli root balls and soil, along with the potential for being obscured by leaves, leads to false detections of “exposed seedlings”. Additionally, features left by the end effector resemble the background, making the detection of the “missed hills” category challenging. Moreover, existing algorithms require substantial computational resources and memory. To address these challenges, we developed Seedling-YOLO, a deep-learning model dedicated to the visual detection of broccoli planting quality. Initially, we designed a new module, the Efficient Layer Aggregation Networks-Pconv (ELAN_P), utilizing partial convolution (Pconv). This module serves as the backbone feature extraction network, effectively reducing redundant calculations. Furthermore, the model incorporates the Content-aware ReAssembly of Features (CARAFE) and Coordinate Attention (CA), enhancing its focus on the long-range spatial information of challenging-to-detect samples. Experimental results demonstrate that our Seedling-YOLO model outperforms YOLOv4-tiny, YOLOv5s, YOLOv7-tiny, and YOLOv7 in terms of speed and precision, particularly in detecting ‘exposed seedlings’ and ‘missed hills’-key categories impacting yield, with Average Precision (AP) values of 94.2% and 92.2%, respectively. The model achieved a mean Average Precision of 0.5 ([email protected]) of 94.3% and a frame rate of 29.7 frames per second (FPS). In field tests conducted with double-row vegetable ridges at a plant spacing of 0.4 m and robot speed of 0.6 m/s, Seedling-YOLO exhibited optimal efficiency and precision. It achieved an actual detection precision of 93% and a detection efficiency of 180 plants/min, meeting the requirements for real-time and precise detection. This model can be deployed on seedling replenishment robots, providing a visual solution for robots, thereby enhancing vegetable yield. Full article
19 pages, 405 KiB  
Article
An Investigation into the Impact of Teachers’ Emotional Intelligence on Students’ Satisfaction of Their Academic Achievement
by Ameena Taleb Al Jaberi, Khadeegha Alzouebi and Othman Abu Khurma
Soc. Sci. 2024, 13(5), 244; https://doi.org/10.3390/socsci13050244 (registering DOI) - 28 Apr 2024
Abstract
This paper explores the correlation between teachers’ emotional intelligence (EI) and students’ academic achievement. Utilizing the Daniel Goleman questionnaire, the study delves into the multifaceted aspects of EI that extend beyond traditional leadership qualities. Goleman contends that, while attributes such as determination, intelligence, [...] Read more.
This paper explores the correlation between teachers’ emotional intelligence (EI) and students’ academic achievement. Utilizing the Daniel Goleman questionnaire, the study delves into the multifaceted aspects of EI that extend beyond traditional leadership qualities. Goleman contends that, while attributes such as determination, intelligence, and vision are essential, they alone do not encapsulate effective leadership. Emotional intelligence introduces a spectrum of qualities crucial for leadership success, including self-awareness, managing emotions, motivating oneself, empathy, and social skills. The study employed a questionnaire developed by the researcher, employing a statement-based approach. Participants, predominantly students, were tasked with selecting statements that best resonated with their experiences. The questionnaire aimed to assess various dimensions of emotional intelligence, including self-awareness, emotional management, self-motivation, empathy, and social adeptness. Through statistical analysis of the collected data, the paper examines the relationship between teachers’ EI levels and students’ academic achievement. Findings revealed the significance of teachers’ ability to comprehend and regulate emotions, as well as their capacity for empathy and effective social interaction. Furthermore, the study sheds light on how these facets of emotional intelligence contribute to creating conducive learning environments and fostering student engagement and achievement. This research underscores the pivotal role of emotional intelligence in educational settings and provides insights into how enhancing teachers’ EI can positively impact students’ learning outcomes. The implications of these findings extend to educational policies and practices, advocating for the incorporation of EI training and development programs for educators to cultivate conducive learning environments and facilitate students’ academic success. Full article
14 pages, 3276 KiB  
Article
Mineralogical Characterization of Raw Clay from Rujište (Serbia) Used in Traditional Pottery Manufacture
by Maja Milošević, Predrag Dabić, Jelena Gulicovski, Vladimir Dodevski and Milena Rosić
Minerals 2024, 14(5), 469; https://doi.org/10.3390/min14050469 (registering DOI) - 28 Apr 2024
Abstract
The pottery produced from the Rujište deposit in Serbia has been protected under the guidance of UNESCO and the Sector for Intangible Cultural Heritage of Serbia since 2019. A study was conducted to evaluate the mineralogical characteristics of the raw clay from this [...] Read more.
The pottery produced from the Rujište deposit in Serbia has been protected under the guidance of UNESCO and the Sector for Intangible Cultural Heritage of Serbia since 2019. A study was conducted to evaluate the mineralogical characteristics of the raw clay from this deposit. This study used various techniques, such as X-ray diffraction (XRD), infrared (IR) spectroscopy, X-ray fluorescence (XRF), and differential thermal analysis (DTA) to characterize the clay. This study found that the clay contained mostly clay minerals (56.3%–41.9%), with illite, smectite, and chlorite as the predominant phases. Other phases identified were quartz, feldspars, carbonates, and iron-bearing minerals (43.8%–58.1%). The chemical analyses revealed a high abundance of silica (>52 wt.%) and alumina (~16 wt.%), with Fe2O3 (~6 wt.%), K2O (~2.8 wt.%), and a similar content of MgO as the main constituents. The physical features that were investigated included the granulometry (clay: ~31%–44%, silt: ~ 26%–23%, and sand: ~ 42%–32%), specific surface area (97 to 107 m2 g−1), cation exchange capacity (12.5–13.7 mmol 100 g−1), and color (yellowish to moderate brown). The preliminary results suggest that most of the raw clay from the Rujište deposit might be suitable for use in traditional pottery manufacture. Full article
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64 pages, 2305 KiB  
Review
Current Landscape of Cancer Immunotherapy: Harnessing the Immune Arsenal to Overcome Immune Evasion
by Ankita Mitra, Anoop Kumar, Nitin P. Amdare and Rajiv Pathak
Biology 2024, 13(5), 307; https://doi.org/10.3390/biology13050307 (registering DOI) - 28 Apr 2024
Abstract
Cancer immune evasion represents a leading hallmark of cancer, posing a significant obstacle to the development of successful anticancer therapies. However, the landscape of cancer treatment has significantly evolved, transitioning into the era of immunotherapy from conventional methods such as surgical resection, radiotherapy, [...] Read more.
Cancer immune evasion represents a leading hallmark of cancer, posing a significant obstacle to the development of successful anticancer therapies. However, the landscape of cancer treatment has significantly evolved, transitioning into the era of immunotherapy from conventional methods such as surgical resection, radiotherapy, chemotherapy, and targeted drug therapy. Immunotherapy has emerged as a pivotal component in cancer treatment, harnessing the body’s immune system to combat cancer and offering improved prognostic outcomes for numerous patients. The remarkable success of immunotherapy has spurred significant efforts to enhance the clinical efficacy of existing agents and strategies. Several immunotherapeutic approaches have received approval for targeted cancer treatments, while others are currently in preclinical and clinical trials. This review explores recent progress in unraveling the mechanisms of cancer immune evasion and evaluates the clinical effectiveness of diverse immunotherapy strategies, including cancer vaccines, adoptive cell therapy, and antibody-based treatments. It encompasses both established treatments and those currently under investigation, providing a comprehensive overview of efforts to combat cancer through immunological approaches. Additionally, the article emphasizes the current developments, limitations, and challenges in cancer immunotherapy. Furthermore, by integrating analyses of cancer immunotherapy resistance mechanisms and exploring combination strategies and personalized approaches, it offers valuable insights crucial for the development of novel anticancer immunotherapeutic strategies. Full article
(This article belongs to the Special Issue Progression of the Immune Escape Mechanism in Tumors)
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14 pages, 353 KiB  
Article
Isobutyramide and Slow-Release Urea as Substitutes for Soybean Meal in the Finishing Diet of Beef Cattle
by Chen Wei, Haiying Tao, Guifen Liu and Kechuan Tian
Animals 2024, 14(9), 1321; https://doi.org/10.3390/ani14091321 (registering DOI) - 28 Apr 2024
Abstract
Two experiments were conducted to investigate the effects of isobutyramide (IBA) and slow-release urea (SRU) as substitutes for soybean meal (SBM) in the finishing diet of beef cattle. The completely randomized design in vitro experiment with five treatments, i.e., control, 0.9% SRU group, [...] Read more.
Two experiments were conducted to investigate the effects of isobutyramide (IBA) and slow-release urea (SRU) as substitutes for soybean meal (SBM) in the finishing diet of beef cattle. The completely randomized design in vitro experiment with five treatments, i.e., control, 0.9% SRU group, 0.6% SRU + 0.3% IBA group (SRU-I), 0.3% SRU + 0.6% IBA group (IBA-S), 0.9% IBA group was conducted. The results showed that the IBA-S and IBA increased (p ≤ 0.05) substrate disappearance of dry matter (DM), neutral detergent fiber (NDF), acid detergent fiber (ADF), total gas, and total volatile fatty acids (TVFA). The SRU group had the highest (p < 0.01) crude protein disappearance and ammonia nitrogen concentration, but the IBA contrarily decreased (p < 0.01) them compared with the control. Inclusion of IBA increased isobutyrate concentrations (p = 0.01) with the highest value for the IBA group. Then, an 84-day replicate 4 × 4 Latin square design with 8 Angus steers and four treatments, i.e., control, SRU, SRU-I, IBA-S was performed. The results showed that the treatments did not affect DM intake (p > 0.05) but tended (p = 0.09) to increase average daily gain. The inclusion of IBA increased (p < 0.05) the apparent digestibility of DM, organic matter, NDF, ADF, TVFA, and microbial crude protein with the highest values for the IBA-S group. The IBA-contained groups also increased (p ≤ 0.01) isobutyrate concentration, activities of carboxymethyl cellulase and xylanase, and the relative abundance of Butyrivibrio fibrisolvens with the highest values for the IBA-S group. The SRU had no effect on animal growth and nutrient apparent digestibility. In conclusion, IBA was developed as a new substitute for SBM in the finishing diet of beef cattle, and the optimal strategy was the isonitrogenous substitution of SBM with 0.3% SRU and 0.6% IBA of the diet. Full article
(This article belongs to the Section Cattle)

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