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19 pages, 5627 KiB  
Article
Uncertainty-Guided Asymmetric Consistency Domain Adaptation for Histopathological Image Classification
by Chenglin Yu and Hailong Pei
Appl. Sci. 2024, 14(7), 2900; https://doi.org/10.3390/app14072900 (registering DOI) - 29 Mar 2024
Abstract
Deep learning has achieved remarkable progress in medical image analysis, but its effectiveness heavily relies on large-scale and well-annotated datasets. However, assembling a large-scale dataset of annotated histopathological images is challenging due to their unique characteristics, including various image sizes, multiple cancer types, [...] Read more.
Deep learning has achieved remarkable progress in medical image analysis, but its effectiveness heavily relies on large-scale and well-annotated datasets. However, assembling a large-scale dataset of annotated histopathological images is challenging due to their unique characteristics, including various image sizes, multiple cancer types, and staining variations. Moreover, strict data privacy in medicine severely restricts data sharing and poses significant challenges in acquiring large-scale and well-annotated histopathological images. To tackle these constraints, Transfer Learning (TL) provides a promising solution by exploiting knowledge from another domain. This study proposes the Uncertainty-guided asymmetric Consistency Domain Adaptation (UCDA), which does not require accessing the source data and is composed of two essential components, e.g., Uncertainty-guided Source-free Transfer Learning (USTL) and Asymmetric Consistency Learning (ACL). In detail, USTL facilitates a secure mapping of the source domain model’s feature space onto the target domain, eliminating the dependency on source domain data to protect data privacy. At the same time, the ACL module measures the symmetry and asymmetry between the source and target domains, bridging the information gap and preserving inter-domain differences among medical images. We comprehensively evaluate the effectiveness of UCDA on three widely recognized and publicly available datasets, namely NCTCRC-HE-100K, PCam, and LC25000. Impressively, our proposed method achieves remarkable performance on accuracy and F1-scores. Additionally, feature visualizations effectively demonstrate the exceptional generalizability and discriminative power of the learned representations. These compelling results underscore the significant potential of UCDA in driving the advancement of deep learning techniques within the realm of histopathological image analysis. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
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19 pages, 1428 KiB  
Article
Improved Bootstrap Method Based on RBF Neural Network for Reliability Assessment
by Houxiang Wang, Haitao Liu and Songshi Shao
Appl. Sci. 2024, 14(7), 2901; https://doi.org/10.3390/app14072901 (registering DOI) - 29 Mar 2024
Abstract
The investigation of the reliability of long-life equipment is typically hindered by the lack of experimental data, which makes accurate assessments challenging. To address this problem, a bootstrap method based on the improved RBF (radial basis function) neural network is proposed. This method [...] Read more.
The investigation of the reliability of long-life equipment is typically hindered by the lack of experimental data, which makes accurate assessments challenging. To address this problem, a bootstrap method based on the improved RBF (radial basis function) neural network is proposed. This method utilizes the exponential function to modify the conventional empirical distribution function and fit right-tailed data. In addition, it employs the RBF radial basis neural network to obtain the distribution characteristics of the original samples and then constructs the neighborhood function to generate the input network. The expanded sample is used to estimate the scale and shape parameters of the Weibull distribution and obtain the estimated value of the MTBF (mean time between failures). The bias correction method is then used to obtain the interval estimate for the MTBF. Subsequently, a simulation experiment is conducted based on the failure data of a CNC (computer numerical control) machine tool to verify the effect of this method. The results show that the accuracy of the MTBF point estimation and interval estimation obtained using the proposed method is superior to those of the original and conventional bootstrap methods, which is of major significance to engineering applications. Full article
(This article belongs to the Special Issue Advances and Challenges in Reliability and Maintenance Engineering)
21 pages, 3695 KiB  
Article
Preclinical Development of Antisense Oligonucleotides to Rescue Aberrant Splicing Caused by an Ultrarare ABCA4 Variant in a Child with Early-Onset Stargardt Disease
by Nuria Suárez-Herrera, Catherina H. Z. Li, Nico Leijsten, Dyah W. Karjosukarso, Zelia Corradi, Femke Bukkems, Lonneke Duijkers, Frans P. M. Cremers, Carel B. Hoyng, Alejandro Garanto and Rob W. J. Collin
Cells 2024, 13(7), 601; https://doi.org/10.3390/cells13070601 (registering DOI) - 29 Mar 2024
Abstract
Precision medicine is rapidly gaining recognition in the field of (ultra)rare conditions, where only a few individuals in the world are affected. Clinical trial design for a small number of patients is extremely challenging, and for this reason, the development of N-of-1 strategies [...] Read more.
Precision medicine is rapidly gaining recognition in the field of (ultra)rare conditions, where only a few individuals in the world are affected. Clinical trial design for a small number of patients is extremely challenging, and for this reason, the development of N-of-1 strategies is explored to accelerate customized therapy design for rare cases. A strong candidate for this approach is Stargardt disease (STGD1), an autosomal recessive macular degeneration characterized by high genetic and phenotypic heterogeneity. STGD1 is caused by pathogenic variants in ABCA4, and amongst them, several deep-intronic variants alter the pre-mRNA splicing process, generally resulting in the insertion of pseudoexons (PEs) into the final transcript. In this study, we describe a 10-year-old girl harboring the unique deep-intronic ABCA4 variant c.6817-713A>G. Clinically, she presents with typical early-onset STGD1 with a high disease symmetry between her two eyes. Molecularly, we designed antisense oligonucleotides (AONs) to block the produced PE insertion. Splicing rescue was assessed in three different in vitro models: HEK293T cells, fibroblasts, and photoreceptor precursor cells, the last two being derived from the patient. Overall, our research is intended to serve as the basis for a personalized N-of-1 AON-based treatment to stop early vision loss in this patient. Full article
(This article belongs to the Special Issue Nucleic Acid Therapeutics (NATs): Advances and Perspectives)
12 pages, 4086 KiB  
Article
An Efficient Stereoselective Synthesis of cis-2,6-Disubstituted Tetrahydropyrans via Gold-Catalyzed Meyer–Schuster Rearrangement/Hydration/oxa-Michael Addition Sequence
by Nobuyoshi Morita, Daichi Yamashita, Yoshimitsu Hashimoto and Osamu Tamura
Catalysts 2024, 14(4), 228; https://doi.org/10.3390/catal14040228 (registering DOI) - 29 Mar 2024
Abstract
An efficient stereoselective synthesis of cis-2,6-disubstituted tetrahydropyrans 14ac has been achieved via gold-catalyzed Meyer–Schuster rearrangement/hydration/oxa-Michael addition sequence from bis-propargylic alcohols 13ac. The reaction of 13a proceeds via 2,6-disubstituted tetrahydropyran 14′a as an intermediate. Full article
(This article belongs to the Special Issue Advances in Transition Metal Catalysis)
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21 pages, 1722 KiB  
Article
Inverse Analysis of Strata in Seepage Field Based on Regularization Method and Geostatistics Theory
by Fansheng Zhang, Lianglin Dong, Hongbo Wang, Ke Zhong, Peiyuan Zhang and Jinyan Jiang
Buildings 2024, 14(4), 946; https://doi.org/10.3390/buildings14040946 (registering DOI) - 29 Mar 2024
Abstract
During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objective function that solves an underdetermined inverse analysis problem [...] Read more.
During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objective function that solves an underdetermined inverse analysis problem based on the least-squares theory and regularization method and uses geostatistics theory and the variogram function to describe the spatial characteristics of the actual engineering system. It also establishes an optimization model of the analysis stratum seepage field and puts forward the method of using on-site test observation data to solve the stratum penetration coefficient. Relying on the foundation pit project of the Lingshanwei Station of Qingdao Metro, the on-site pumping and packer permeability test was conducted for different strata venues in the foundation pit, and the on-site water-head observation value was obtained. Physical detection of the influence area of foundation pit excavation confirms the correctness of the model from the region and verifies the accuracy of the model on the value through the on-site pumping test. Results show that the accuracy of the use of this objective function to solve the underdetermined inverse problem is above 85%, which proves the effectiveness of the method. The stratigraphic geological information obtained by the inverse analysis model provides an important basis for engineering design and security construction. Full article
(This article belongs to the Section Building Structures)
20 pages, 3591 KiB  
Article
A New Moment-Resisting Glulam Beam-End Connection Utilizing Mechanically Fastened Steel Rods—An Experimental Study
by Cory Hubbard and Osama (Sam) Salem
Appl. Mech. 2024, 5(2), 260-279; https://doi.org/10.3390/applmech5020016 (registering DOI) - 29 Mar 2024
Abstract
A new moment-resisting mass timber connection was designed based on the principles of force equilibrium in applied mechanics. The connection configuration utilizing two mechanically fastened threaded steel rods embedded into the end of a glulam beam section was experimentally investigated in this study. [...] Read more.
A new moment-resisting mass timber connection was designed based on the principles of force equilibrium in applied mechanics. The connection configuration utilizing two mechanically fastened threaded steel rods embedded into the end of a glulam beam section was experimentally investigated in this study. A gradually increasing transverse load was applied to the free end of a cantilevered beam, causing a bending moment on the beam-end connection until failure. Four different connection configurations were examined, each replicated twice to verify results. The beam connection parameters investigated were rod anchorage length (200 and 250 mm) and square washer size (38.1 and 50.8 mm). Test results show that increasing the washer size increased the connection bending strength by increments more significantly than those due to increasing the rod anchorage length. However, the connection configurations with the smaller-size washer, which failed mainly due to wood crushing under the washer, had higher ductility ratios than those with the larger-size washer, which failed due to steel rod yielding. In a real-life scenario, a structural element such as a glulam beam is usually loaded to approximately 50% to 70% of its design capacity, considering a reasonable margin of safety. The study estimates a maximum possible bending moment utilization factor for the strongest connection configuration that ranged between 34% and 48% compared to the maximum moment resistance of a supported glulam beam spanning an average length of 4.0 m to 6.0 m (a common span length in framed timber buildings) and has a cross-section size same as the one utilized in this study. This utilization factor is quite large for a timber connection, and thus, confirms a considerable moment-resisting capability of the new configuration developed in this study. Full article
21 pages, 3336 KiB  
Article
Green Hydrogen Production at the Gigawatt Scale in Portugal: A Technical and Economic Evaluation
by Rui P. Borges, Flávia Franco, Fátima N. Serralha and Isabel Cabrita
Energies 2024, 17(7), 1638; https://doi.org/10.3390/en17071638 (registering DOI) - 29 Mar 2024
Abstract
The European Union has committed to achieving carbon neutrality by 2050 and green hydrogen has been chosen as a priority vector for reaching that goal. Accordingly, Portugal has drafted a National Hydrogen Strategy laying out the various steps for the development of a [...] Read more.
The European Union has committed to achieving carbon neutrality by 2050 and green hydrogen has been chosen as a priority vector for reaching that goal. Accordingly, Portugal has drafted a National Hydrogen Strategy laying out the various steps for the development of a green hydrogen economy. One element of this strategy is the development of a gigawatt-scale hydrogen production facility powered by dedicated renewable electricity sources. This work presents an analysis of the technical and economic feasibility of a facility consisting of a gigawatt-scale polymer electrolyte membrane electrolyser powered by solar photovoltaic and wind electricity, using the energy analysis model EnergyPLAN. Different capacities and modes of operation of the electrolyser are considered, including the complementary use of grid electricity as well as different combinations of renewable power, resulting in a total of 72 different configurations. An economic analysis is conducted addressing the related annualised capital expenditures, maintenance, and variable costs, to allow for the determination of the levelised cost of hydrogen for the different configurations. This analysis shows the conditions required for maximising annual hydrogen production at the lowest levelised cost of hydrogen. The best options consist of an electrolyser powered by a combination of solar photovoltaic and wind, with limited exchanges with the electricity grid, and a levelised cost of hydrogen in the range 3.13–3.48 EUR/kg. Full article
(This article belongs to the Special Issue Hydrogen in the Energy Transition: From Production to End-Use)
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15 pages, 1356 KiB  
Article
A Novel Two-Stage 3D-Printed Halbach Array-Based Device for Magneto-Mechanical Applications
by Antonios Makridis, Nikolaos Maniotis, Dimitrios Papadopoulos, Pavlos Kyriazopoulos and Makis Angelakeris
Magnetochemistry 2024, 10(4), 21; https://doi.org/10.3390/magnetochemistry10040021 (registering DOI) - 29 Mar 2024
Abstract
This research unveils a versatile Halbach array magnetic device with promising biomedical applications, offering innovative solutions for targeted therapy and disease management in evolving biomedical engineering. This paper explores the potential of a novel Halbach array-based device for harnessing magneto-mechanical phenomena in biomedical [...] Read more.
This research unveils a versatile Halbach array magnetic device with promising biomedical applications, offering innovative solutions for targeted therapy and disease management in evolving biomedical engineering. This paper explores the potential of a novel Halbach array-based device for harnessing magneto-mechanical phenomena in biomedical applications. The study employs computational modeling using COMSOL Multiphysics to define the device’s magnetic properties and validate its operation within the theoretical prediction. The research catalogs the device’s operational modes and assesses crucial parameters related to magneto-mechanical biomedical modalities, including magnetic field strength, gradient, and force. Experimental validation of numerical findings through magnetic field measurements confirms the device’s multifaceted potential, particularly in targeted drug delivery and tissue engineering applications. Finally, the adaptability of the magnetic arrangements for various scenarios is also highlighted. This investigation provides valuable insights into integrating magneto-mechanical principles into biomedical engineering. It paves the way for further research and innovative approaches in theranostics, positioning the presented apparatus as a promising tool with untapped potential for future exploration and discovery in the evolving biomedical field. Full article
(This article belongs to the Special Issue Magnetism: Energy, Recycling, Novel Materials)
15 pages, 2891 KiB  
Article
Longitudinal Sequencing and Variant Detection of SARS-CoV-2 across Southern California Wastewater
by Jason A. Rothman, Andrew Saghir, Amity G. Zimmer-Faust, Kylie Langlois, Kayla Raygoza, Joshua A. Steele, John F. Griffith and Katrine L. Whiteson
Appl. Microbiol. 2024, 4(2), 635-649; https://doi.org/10.3390/applmicrobiol4020044 (registering DOI) - 29 Mar 2024
Abstract
Wastewater-based epidemiology (WBE) is useful for detecting pathogen prevalence and may serve to effectively monitor diseases across broad scales. WBE has been used throughout the COVID-19 pandemic to track disease burden through quantifying SARS-CoV-2 RNA present in wastewater. Aside from case load estimation, [...] Read more.
Wastewater-based epidemiology (WBE) is useful for detecting pathogen prevalence and may serve to effectively monitor diseases across broad scales. WBE has been used throughout the COVID-19 pandemic to track disease burden through quantifying SARS-CoV-2 RNA present in wastewater. Aside from case load estimation, WBE is being used to assay viral genomic diversity and emerging potential SARS-CoV-2 variants. Here, we present a study in which we sequenced RNA extracted from sewage influent obtained from eight wastewater treatment plants representing 16 million people in Southern California from April 2020 to August 2021. We sequenced SARS-CoV-2 with two methods: Illumina Respiratory Virus-Enriched metatranscriptomic sequencing (N = 269), and QIAseq SARS-CoV-2-tiled amplicon sequencing (N = 95). We classified SARS-CoV-2 reads into lineages and sublineages that approximated named variants and identified single nucleotide variants (SNVs), of which many are putatively novel SNVs and SNVs of unknown potential function and prevalence. Through our retrospective study, we also show that several SARS-CoV-2 sublineages were detected in wastewater before clinical detection, which may assist in the prediction of future variants of concern. Lastly, we show that sublineage diversity was similar across Southern California and that diversity changed over time, indicating that WBE is effective across megaregions. As the COVID-19 pandemic moves to new phases, and SARS-CoV-2 variants emerge, monitoring wastewater is important to understand local- and population-level dynamics of the virus. These results will aid in our ability to monitor the evolutionary potential of SARS-CoV-2 and help understand circulating SNVs to further combat COVID-19. Full article
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31 pages, 1235 KiB  
Review
Minerals and the Menstrual Cycle: Impacts on Ovulation and Endometrial Health
by Celine Kapper, Peter Oppelt, Clara Ganh?r, Ayberk Alp Gyunesh, Barbara Arbeithuber, Patrick Stelzl and Marlene Rezk-Füreder
Nutrients 2024, 16(7), 1008; https://doi.org/10.3390/nu16071008 (registering DOI) - 29 Mar 2024
Abstract
The role of minerals in female fertility, particularly in relation to the menstrual cycle, presents a complex area of study that underscores the interplay between nutrition and reproductive health. This narrative review aims to elucidate the impacts of minerals on key aspects of [...] Read more.
The role of minerals in female fertility, particularly in relation to the menstrual cycle, presents a complex area of study that underscores the interplay between nutrition and reproductive health. This narrative review aims to elucidate the impacts of minerals on key aspects of the reproductive system: hormonal regulation, ovarian function and ovulation, endometrial health, and oxidative stress. Despite the attention given to specific micronutrients in relation to reproductive disorders, there is a noticeable absence of a comprehensive review focusing on the impact of minerals throughout the menstrual cycle on female fertility. This narrative review aims to address this gap by examining the influence of minerals on reproductive health. Each mineral’s contribution is explored in detail to provide a clearer picture of its importance in supporting female fertility. This comprehensive analysis not only enhances our knowledge of reproductive health but also offers clinicians valuable insights into potential therapeutic strategies and the recommended intake of minerals to promote female reproductive well-being, considering the menstrual cycle. This review stands as the first to offer such a detailed examination of minerals in the context of the menstrual cycle, aiming to elevate the understanding of their critical role in female fertility and reproductive health. Full article
(This article belongs to the Special Issue The Role of Nutrition in Gynecological Diseases)
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5 pages, 176 KiB  
Editorial
Editorial Catalysts: Catalysis for the Removal of Water Pollutants
by Antonio Eduardo Palomares
Catalysts 2024, 14(4), 229; https://doi.org/10.3390/catal14040229 (registering DOI) - 29 Mar 2024
Abstract
Water is an essential resource for society, and it is necessary to guarantee its supply and quality [...] Full article
(This article belongs to the Special Issue Catalysis for the Removal of Water Pollutants)
23 pages, 1383 KiB  
Article
Dynamical Analysis of the Redshift Drift in FLRW Universes
by Francisco S. N. Lobo, José Pedro Mimoso, Jessica Santiago and Matt Visser
Universe 2024, 10(4), 162; https://doi.org/10.3390/universe10040162 (registering DOI) - 29 Mar 2024
Abstract
Redshift drift is the phenomenon whereby the observed redshift between an emitter and observer comoving with the Hubble flow in an expanding FLRW universe will slowly evolve—on a timescale comparable to the Hubble time. In a previous article, three of the current authors [...] Read more.
Redshift drift is the phenomenon whereby the observed redshift between an emitter and observer comoving with the Hubble flow in an expanding FLRW universe will slowly evolve—on a timescale comparable to the Hubble time. In a previous article, three of the current authors performed a cosmographic analysis of the redshift drift in an FLRW universe, temporarily putting aside the issue of dynamics (the Friedmann equations). In the current article, we add dynamics while still remaining within the framework of an exact FLRW universe. We developed a suitable generic matter model and applied it to both standard FLRW and various dark energy models. Furthermore, we present an analysis of the utility of alternative cosmographic variables to describe the redshift drift data. Full article
(This article belongs to the Section Cosmology)
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28 pages, 2387 KiB  
Review
The Clinical Relevance of the EPH/Ephrin Signaling Pathway in Pediatric Solid and Hematologic Malignancies
by Elena Chatzikalil, Ioanna E. Stergiou, Stavros P. Papadakos, Ippokratis Konstantinidis and Stamatios Theocharis
Int. J. Mol. Sci. 2024, 25(7), 3834; https://doi.org/10.3390/ijms25073834 (registering DOI) - 29 Mar 2024
Abstract
Pediatric neoplasms represent a complex group of malignancies that pose unique challenges in terms of diagnosis, treatment, and understanding of the underlying molecular pathogenetic mechanisms. Erythropoietin-producing hepatocellular receptors (EPHs), the largest family of receptor tyrosine kinases and their membrane-tethered ligands, ephrins, orchestrate short-distance [...] Read more.
Pediatric neoplasms represent a complex group of malignancies that pose unique challenges in terms of diagnosis, treatment, and understanding of the underlying molecular pathogenetic mechanisms. Erythropoietin-producing hepatocellular receptors (EPHs), the largest family of receptor tyrosine kinases and their membrane-tethered ligands, ephrins, orchestrate short-distance cell–cell signaling and are intricately involved in cell-pattern morphogenesis and various developmental processes. Unraveling the role of the EPH/ephrin signaling pathway in the pathophysiology of pediatric neoplasms and its clinical implications can contribute to deciphering the intricate landscape of these malignancies. The bidirectional nature of the EPH/ephrin axis is underscored by emerging evidence revealing its capacity to drive tumorigenesis, fostering cell–cell communication within the tumor microenvironment. In the context of carcinogenesis, the EPH/ephrin signaling pathway prompts a reevaluation of treatment strategies, particularly in pediatric oncology, where the modest progress in survival rates and enduring treatment toxicity necessitate novel approaches. Molecularly targeted agents have emerged as promising alternatives, prompting a shift in focus. Through a nuanced understanding of the pathway’s intricacies, we aim to lay the groundwork for personalized diagnostic and therapeutic strategies, ultimately contributing to improved outcomes for young patients grappling with neoplastic challenges. Full article
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15 pages, 292 KiB  
Article
Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings
by Glòria Reig-Garcia, David Cámara-Liebana, Rosa Su?er-Soler, Eva Pau-Perich, Miquel Sitjar-Su?er, Susana Mantas-Jiménez, Marta Roqueta-Vall-llosera and Maria del Carmen Malagón-Aguilera
Nurs. Rep. 2024, 14(2), 801-815; https://doi.org/10.3390/nursrep14020062 (registering DOI) - 29 Mar 2024
Abstract
Background: Aging populations are driving a shift in emphasis toward enhancing chronic disease care, reflected in Catalonia’s regional plan which prioritizes standardized nursing care plans in primary care settings. To achieve this, the ARES-AP program was established with a focus on harmonizing standards [...] Read more.
Background: Aging populations are driving a shift in emphasis toward enhancing chronic disease care, reflected in Catalonia’s regional plan which prioritizes standardized nursing care plans in primary care settings. To achieve this, the ARES-AP program was established with a focus on harmonizing standards and supporting routine nursing clinical decision-making. This study evaluates nurses’ perceptions of ARES-AP’s standardized care plans for chronic diseases. Methods: A mixed-methods approach based on an ad hoc questionnaire (n = 141) and a focus group (n = 14) was used. Quantitative data were statistically analysed, setting significance at p < 0.05. Qualitative data were explored via content analysis. Results: ARES-AP training was assessed positively. The resources for motivational interviewing and care plans for the most prevalent chronic diseases were rated very positively. This study identified key factors influencing program implementation, including facilitators such as structured information and nursing autonomy, barriers such as resistance to change, motivators such as managerial support, and suggested improvements such as technological improvements and time management strategies. Conclusions: This study identifies areas for improvement in implementing standardized nursing care plans, including additional time, motivation, enhanced IT infrastructure, and collaboration among primary care professionals. It enhances understanding of these plans in primary care, especially in managing chronic diseases in aging populations. Further research should assess the program’s long-term impact on chronic patients. This study was not registered. Full article
17 pages, 5872 KiB  
Article
Ultrasonication Improves the Flotation of Coal Gasification Fine Slag Residue
by Yang Jiao, Zhijie Yang, Xing Han, Kaiyue Wang, Chenyang Fang, Zhiming Zhao and Wenhao Tang
Minerals 2024, 14(4), 363; https://doi.org/10.3390/min14040363 (registering DOI) - 29 Mar 2024
Abstract
Coal gasification fine slag (CGFS) is a significant source of solid waste requiring improved treatment methods. This study primarily investigates the mechanism of ultrasonic treatment in optimising flotation-based decarbonization of CGFS and its impact on CGFS modified with surfactants. The objective is to [...] Read more.
Coal gasification fine slag (CGFS) is a significant source of solid waste requiring improved treatment methods. This study primarily investigates the mechanism of ultrasonic treatment in optimising flotation-based decarbonization of CGFS and its impact on CGFS modified with surfactants. The objective is to maximise the carbon ash separation effect to support the clean and efficient utilisation of CGFS. Flotation experiments revealed optimal conditions at an ultrasonication power of 180 W for 2 min and a slurry concentration of 60 g/L, resulting in a residual ash content of 82.59%. Particle size analysis, scanning electron microscopy (SEM), and Brunner−Emmet−Teller (BET) measurements demonstrate the efficacy of ultrasound in extracting inorganic minerals from the surface and pores of residual carbon, consequently reducing both pore and particle sizes. Fourier transform infrared spectroscopy (FTIR) and X-ray Photoelectron Spectroscopy (XPS) analyses indicate alterations in the surface chemistry of CGFS induced by ultrasound treatment. The content of hydrophilic groups decreased from 31.64% to 29.88%, whereas the COO- group content decreased from 13.13% to 8.43%, consequently enhancing hydrophobicity. Adsorption experiments demonstrate an increase in surfactant adsorption capacity following ultrasonic treatment. Furthermore, ultrasonic treatment facilitates the desorption of surfactants previously adsorbed onto the surfaces of CGFS residue. Therefore, optimal flotation is obtained by applying ultrasonic pretreatment to CGFS before adding flotation chemicals. Upon the addition of Polysorbate (Tween-80), the residual ash content increased 90.17%. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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19 pages, 729 KiB  
Article
Preparing Teachers to Re-Build Democratic Communities and Disappearing Middle Class to Reverse Global Inequality: A Typology Applying Bourdieusian ‘Taste’ and Dewey-Inspired Tools to Transform World Making
by Alison Taysum and Soheil Salha
Educ. Sci. 2024, 14(4), 364; https://doi.org/10.3390/educsci14040364 (registering DOI) - 29 Mar 2024
Abstract
‘Double structuring’ of objective economic wealth and subjective perception of wealth through language and culture produce a common world of divisions in the classroom from ‘bad taste’ to ‘good taste’. Teachers’ language and culture of instruction and ‘good taste’ perpetuate systemic injustice with [...] Read more.
‘Double structuring’ of objective economic wealth and subjective perception of wealth through language and culture produce a common world of divisions in the classroom from ‘bad taste’ to ‘good taste’. Teachers’ language and culture of instruction and ‘good taste’ perpetuate systemic injustice with unconscious bias. The tool ‘A Blueprint for Character Development for Evolution (ABCDE) offers five steps to prepare teachers to recognize bias and reverse it with a Typology Applying Bourdieusian ‘Taste’ for Making Worlds. A—Ask questions about instructional Language and Culture and Community Languages and Cultures; B—Critique Typology of Taste: C—Develop statistical models with measures to monitor and evaluate incremental progress towards synthesizing/unifying different classroom languages and cultures into one democratic language and culture whilst honouring each; D—Create evidence-informed, logical and ethical qualitative pathways to re-building a democratic community/disappearing middle class; E—Identify a principle of unity that reverses local inequality, and through powerful Higher Education networks, mainstream it to reverse global inequality. A Professional Educators and Administrators Committee for Empowerment (PEACE) offers a systemic multi-level communication infrastructure to enable feedback loops from communities to policy makers to measure inequality and report narrowing income and wealth gaps to reverse the sharpest increase between 2019 and 2020 in global inequality since World War II. Full article
21 pages, 1173 KiB  
Article
Estimation of Weight and Body Measurement Model for Pigs Based on Back Point Cloud Data
by Yao Liu, Jie Zhou, Yifan Bian, Taishan Wang, Hongxiang Xue and Longshen Liu
Animals 2024, 14(7), 1046; https://doi.org/10.3390/ani14071046 (registering DOI) - 29 Mar 2024
Abstract
Pig farming is a crucial sector in global animal husbandry. The weight and body dimension data of pigs reflect their growth and development status, serving as vital metrics for assessing their progress. Presently, pig weight and body dimensions are predominantly measured manually, which [...] Read more.
Pig farming is a crucial sector in global animal husbandry. The weight and body dimension data of pigs reflect their growth and development status, serving as vital metrics for assessing their progress. Presently, pig weight and body dimensions are predominantly measured manually, which poses challenges such as difficulties in herding, stress responses in pigs, and the control of zoonotic diseases. To address these issues, this study proposes a non-contact weight estimation and body measurement model based on point cloud data from pig backs. A depth camera was installed above a weighbridge to acquire 3D point cloud data from 258 Yorkshire–Landrace crossbred sows. We selected 200 Yorkshire–Landrace sows as the research subjects and applied point cloud filtering and denoising techniques to their three-dimensional point cloud data. Subsequently, a K-means clustering segmentation algorithm was employed to extract the point cloud corresponding to the pigs’ backs. A convolutional neural network with a multi-head attention was established for pig weight prediction and added RGB information as an additional feature. During the data processing process, we also measured the back body size information of the pigs. During the model evaluation, 58 Yorkshire–Landrace sows were specifically selected for experimental assessment. Compared to manual measurements, the weight estimation exhibited an average absolute error of 11.552 kg, average relative error of 4.812%, and root mean square error of 11.181 kg. Specifically, for the MACNN, incorporating RGB information as an additional feature resulted in a decrease of 2.469 kg in the RMSE, a decrease of 0.8% in the MAPE, and a decrease of 1.032 kg in the MAE. Measurements of shoulder width, abdominal width, and hip width yielded corresponding average relative errors of 3.144%, 3.798%, and 3.820%. In conclusion, a convolutional neural network with a multi-head attention was established for pig weight prediction, and incorporating RGB information as an additional feature method demonstrated accuracy and reliability for weight estimation and body dimension measurement. Full article
(This article belongs to the Section Pigs)
24 pages, 935 KiB  
Article
Transition Paths of Brazil from an Agricultural Economy to a Regional Powerhouse: A Global Supply Chain Perspective
by Fernando Coelho Martins Ferreira, Cristiane Biazzin and Paul C. Hong
Sustainability 2024, 16(7), 2872; https://doi.org/10.3390/su16072872 (registering DOI) - 29 Mar 2024
Abstract
This study examines Brazil’s evolution from a primarily agricultural economy to a pivotal player within global supply chains, contesting the traditional view of emerging markets as mere suppliers of raw materials and labor. It closely examines Brazil’s assertive efforts and the obstacles it [...] Read more.
This study examines Brazil’s evolution from a primarily agricultural economy to a pivotal player within global supply chains, contesting the traditional view of emerging markets as mere suppliers of raw materials and labor. It closely examines Brazil’s assertive efforts and the obstacles it encounters, focusing on its role within the context of Latin America. Utilizing macroeconomic data, the research reveals the barriers to Brazil’s deeper integration into global supply chains and outlines novel strategies to enhance its global position. The findings highlight Brazil’s capacity to significantly influence and advance the global economic framework, emphasizing its vital role in redefining the narrative on global supply chain engagement from a Latin American perspective. Full article
22 pages, 1359 KiB  
Article
Research on the Calculation Method for the Load Distribution of the Dual-Input Counter-Rotating Transmission System
by He Yu, Wankai Shi and Zhenhao Su
Appl. Sci. 2024, 14(7), 2899; https://doi.org/10.3390/app14072899 (registering DOI) - 29 Mar 2024
Abstract
In order to solve the problem of an uneven load distribution in a double-input and double-output gearbox, based on the small-displacement Jacobi spin theory and considering the manufacturing and assembly errors of the gearbox, a Jacobi spin analysis model of the gearbox was [...] Read more.
In order to solve the problem of an uneven load distribution in a double-input and double-output gearbox, based on the small-displacement Jacobi spin theory and considering the manufacturing and assembly errors of the gearbox, a Jacobi spin analysis model of the gearbox was established. In order to improve the accuracy of the three-dimensional tolerance analysis of the gearbox, on the basis of the processing method of parallel chain of gears and shafts and box and shafts, the serialization method of parallel chain of meshing gear pairs is proposed, and the gearbox was established. For the three-dimensional tolerance analysis model, three-dimensional tolerance analysis was carried out on the side-clearance dimensions of double-input and double-output gearboxes, and the side clearance values under the extreme value method and Monte Carlo method were deduced and combined with the theoretical side clearance to obtain the range of the side clearance of the gearboxes. Elastic deflection analysis was carried out on the gearbox shaft system, and the compensation relationship between the elastic deflection and the side clearance was investigated, so as to calculate the range of the value of the gearbox uniform load coefficient from 1 to 1.259. The error between the theoretically calculated uniform load coefficient and the experimentally tested uniform load coefficient was 6.61%, which verifies the reasonableness of the load distribution method of double-input and double-output gearboxes calculated using three-dimensional tolerance analysis combined with the elastic deflection angle, and provides a theoretical basis for the optimal design of the uniform load of multi-branch input gearboxes. Full article
23 pages, 1169 KiB  
Article
7-O-tyrosyl Silybin Derivatives as a Novel Set of Anti-Prostate Cancer Compounds
by Valeria Romanucci, Rita Pagano, Kushal Kandhari, Armando Zarrelli, Maria Petrone, Chapla Agarwal, Rajesh Agarwal and Giovanni Di Fabio
Antioxidants 2024, 13(4), 418; https://doi.org/10.3390/antiox13040418 (registering DOI) - 29 Mar 2024
Abstract
Silybin is a natural compound extensively studied for its hepatoprotective, neuroprotective and anticancer properties. Envisioning the enhancement of silybin potential by suitable modifications in its chemical structure, here, a series of new 7-O-alkyl silybins derivatives were synthesized by the Mitsunobu reaction [...] Read more.
Silybin is a natural compound extensively studied for its hepatoprotective, neuroprotective and anticancer properties. Envisioning the enhancement of silybin potential by suitable modifications in its chemical structure, here, a series of new 7-O-alkyl silybins derivatives were synthesized by the Mitsunobu reaction starting from the silybins and tyrosol-based phenols, such as tyrosol (TYR, 3), 3-methoxytyrosol (MTYR, 4), and 3-hydroxytyrosol (HTYR, 5). This research sought to explore the antioxidant and anticancer properties of eighteen new derivatives and their mechanisms. In particular, the antioxidant properties of new derivatives outlined by the DPPH assay showed a very pronounced activity depending on the tyrosyl moiety (HTYR > MTYR >> TYR). A significant contribution of the HTYR moiety was observed for silybins and 2,3-dehydro-silybin-based derivatives. According to the very potent antioxidant activity, 2,3-dehydro-silybin derivatives 15ab, 15a, and 15b exerted the most potent anticancer activity in human prostate cancer PC-3 cells. Furthermore, flow cytometric analysis for cell cycle and apoptosis revealed that 15ab, 15a, and 15b induce strong G1 phase arrest and increase late apoptotic population in PC-3 cells. Additionally, Western blotting for apoptotic marker cleaved caspase-3 confirmed apoptosis induction by these silybin derivatives in PC-3 cells. These findings hold significant importance in the investigation of anticancer properties of silybin derivatives and strongly encourage swift investigation in pre-clinical models and clinical trials. Full article
14 pages, 5864 KiB  
Article
Fully Additively Manufactured Counter Electrodes for Dye-Sensitized Solar Cells
by Semih Akin, Sungdo Kim, Chul Ki Song, Sang Yong Nam and Martin Byung-Guk Jun
Micromachines 2024, 15(4), 464; https://doi.org/10.3390/mi15040464 (registering DOI) - 29 Mar 2024
Abstract
In dye-sensitized solar cells (DSSCs), the counter electrode (CE) plays a crucial role as an electron transfer agent and regenerator of the redox couple. Unlike conventional CEs that are generally made of glass-based substrates (e.g., FTO/glass), polymer substrates appear to be emerging candidates, [...] Read more.
In dye-sensitized solar cells (DSSCs), the counter electrode (CE) plays a crucial role as an electron transfer agent and regenerator of the redox couple. Unlike conventional CEs that are generally made of glass-based substrates (e.g., FTO/glass), polymer substrates appear to be emerging candidates, owing to their intrinsic properties of lightweight, high durability, and low cost. Despite great promise, current manufacturing methods of CEs on polymeric substrates suffer from serious limitations, including low conductivity, scalability, process complexity, and the need for dedicated vacuum equipment. In the present study, we employ and evaluate a fully additive manufacturing route that can enable the fabrication of CEs for DSSCs in a high-throughput and eco-friendly manner with improved performance. The proposed approach sequentially comprises: (1) material extrusion 3-D printing of polymer substrate; (2) conductive surface metallization through cold spray particle deposition; and (3) over-coating of a thin-layer catalyzer with a graphite pencil. The fabricated electrodes are characterized in terms of microstructure, electrical conductivity, and photo-conversion efficiency. Owing to its promising electrical conductivity (8.5 × 104 S·m−1) and micro-rough surface structure (Ra ≈ 6.32 µm), the DSSCs with the additively manufactured CEs led to ≈2.5-times-higher photo-conversion efficiency than that of traditional CEs made of FTO/glass. The results of the study suggest that the proposed additive manufacturing approach can advance the field of DSSCs by addressing the limitations of conventional CE manufacturing platforms. Full article
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14 pages, 6213 KiB  
Article
Comparative Metabolomic Profiling of L-Histidine and NEFA Treatments in Bovine Mammary Epithelial Cells
by Wenqiang Sun, Mengze Li, Hanjun Ren, Yang Chen, Wei Zeng, Xiong Tan, Xianbo Jia, Shiyi Chen, Jie Wang and Songjia Lai
Animals 2024, 14(7), 1045; https://doi.org/10.3390/ani14071045 (registering DOI) - 29 Mar 2024
Abstract
Non-esterified fatty acids (NEFAs) are pivotal in energy metabolism, yet high concentrations can lead to ketosis, a common metabolic disorder in cattle. Our laboratory observed lower levels of L-histidine in cattle suffering from ketosis, indicating a potential interaction between L-histidine and NEFA metabolism. [...] Read more.
Non-esterified fatty acids (NEFAs) are pivotal in energy metabolism, yet high concentrations can lead to ketosis, a common metabolic disorder in cattle. Our laboratory observed lower levels of L-histidine in cattle suffering from ketosis, indicating a potential interaction between L-histidine and NEFA metabolism. This relationship prompted us to investigate the metabolomic alterations in bovine mammary epithelial cells (BMECs) induced by elevated NEFA levels and to explore L-histidine’s potential mitigating effects. Our untargeted metabolomic analysis revealed 893 and 160 metabolite changes in positive and negative models, respectively, with VIP scores greater than 1 and p-values below 0.05. Notable metabolites like 9,10-epoxy-12-octadecenoic acid were upregulated, while 9-Ethylguanine was downregulated. A pathway analysis suggested disruptions in fatty acid and steroid biosynthesis pathways. Furthermore, L-histidine treatment altered 61 metabolites in the positive model and 34 in the negative model, with implications for similar pathways affected by NEFA. Overlaying differential metabolites from both conditions uncovered a potential key mediator, 1-Linoleoylglycerophosphocholine, which was regulated in opposite directions by NEFA and L-histidine. Our study uncovered that both NEFA L- and histidine metabolomics analyses pinpoint similar lipid biosynthesis pathways, with 1-Linoleoylglycerophosphocholine emerging as a potential key metabolite mediating their interaction, a discovery that may offer insights for therapeutic strategies in metabolic diseases. Full article
(This article belongs to the Section Cattle)
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17 pages, 1851 KiB  
Article
Fungicide Sensitivity Profile of Pyrenophora teres f. teres in Field Population
by Regina Pütsepp, Andres M?e, Lee P?llumaa, Liis Andresen and Riinu Kiiker
J. Fungi 2024, 10(4), 260; https://doi.org/10.3390/jof10040260 (registering DOI) - 29 Mar 2024
Abstract
Pyrenophora teres f. teres (Ptt) is a severe pathogen to spring barley in Northern Europe. Ptt with relevant mutations in fungicide target proteins, sterol 14α-demethylase (CYP51A), cytochrome b (Cyt b), and succinate dehydrogenase (SDH) would put efficient disease control at risk. [...] Read more.
Pyrenophora teres f. teres (Ptt) is a severe pathogen to spring barley in Northern Europe. Ptt with relevant mutations in fungicide target proteins, sterol 14α-demethylase (CYP51A), cytochrome b (Cyt b), and succinate dehydrogenase (SDH) would put efficient disease control at risk. In the growing seasons of 2021 and 2022, 193 Ptt isolates from Estonia were analysed. In this study, mutation detection and in vitro fungicide sensitivity assays of single-spore isolates were carried out. Reduced sensitivity phenotype to mefentrifluconazole was evident in Ptt isolates with a F489L mutation in CYP51A or with 129 bp insert in the Cyp51A gene-promoter region. However, sensitivity to a prothioconazole-desthio remained high regardless of these molecular changes. The Ptt population was mostly sensitive to bixafen, fluxapyroxad, pyraclostrobin, and azoxystrobin. The sensitivity of fluxapyroxad and bixafen has been affected by two mutations, C-S135R and D-H134R, found in SDH subunits. The F129L mutation in Cyt b influenced azoxystrobin but not pyraclostrobin sensitivity. In total, 30 isolates from five fields had relevant mutations in three target protein genes simultaneously. Most of these isolates had a reduced sensitivity phenotype to mefentrifluconazole, fluxapyroxad, and azoxystrobin, while sensitivity to other tested fungicides remained high. Furthermore, possible sexual reproduction may enhance the pathogen’s fitness and help it adapt to fungicides. Full article
(This article belongs to the Section Fungal Pathogenesis and Disease Control)
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