The 2023 MDPI Annual Report has
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13 pages, 2153 KiB  
Article
A Lightweight Method for Graph Neural Networks Based on Knowledge Distillation and Graph Contrastive Learning
by Yong Wang and Shuqun Yang
Appl. Sci. 2024, 14(11), 4805; https://doi.org/10.3390/app14114805 (registering DOI) - 2 Jun 2024
Abstract
Graph neural networks (GNNs) are crucial tools for processing non-Euclidean data. However, due to scalability issues caused by the dependency and topology of graph data, deploying GNNs in practical applications is challenging. Some methods aim to address this issue by transferring GNN knowledge [...] Read more.
Graph neural networks (GNNs) are crucial tools for processing non-Euclidean data. However, due to scalability issues caused by the dependency and topology of graph data, deploying GNNs in practical applications is challenging. Some methods aim to address this issue by transferring GNN knowledge to MLPs through knowledge distillation. However, distilled MLPs cannot directly capture graph structure information and rely only on node features, resulting in poor performance and sensitivity to noise. To solve this problem, we propose a lightweight optimization method for GNNs that combines graph contrastive learning and variable-temperature knowledge distillation. First, we use graph contrastive learning to capture graph structural representations, enriching the input information for the MLP. Then, we transfer GNN knowledge to the MLP using variable temperature knowledge distillation. Additionally, we enhance both node content and structural features before inputting them into the MLP, thus improving its performance and stability. Extensive experiments on seven datasets show that the proposed KDGCL model outperforms baseline models in both transductive and inductive settings; in particular, the KDGCL model achieves an average improvement of 1.63% in transductive settings and 0.8% in inductive settings when compared to baseline models. Furthermore, KDGCL maintains parameter efficiency and inference speed, making it competitive in terms of performance. Full article
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15 pages, 516 KiB  
Review
The Prognostic Role of Prognostic Nutritional Index and Controlling Nutritional Status in Predicting Survival in Older Adults with Oncological Disease: A Systematic Review
by Ana Filipa Ferreira, Tatiana Fernandes, Maria do Carmo Carvalho and Helena Soares Loureiro
Onco 2024, 4(2), 101-115; https://doi.org/10.3390/onco4020009 (registering DOI) - 2 Jun 2024
Abstract
The increase in new cancer diagnoses in the elderly calls for new, accessible, and easy-to-use prognostic tools that contribute to lowering the burden of the disease. Recognising the importance of inflammation and nutritional status in the progression of the disease, the purpose of [...] Read more.
The increase in new cancer diagnoses in the elderly calls for new, accessible, and easy-to-use prognostic tools that contribute to lowering the burden of the disease. Recognising the importance of inflammation and nutritional status in the progression of the disease, the purpose of this systematic review was to synthesise the evidence on the prognostic role of Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) in predicting survival of older adult cancer patients. A comprehensive search was conducted in PubMed and Web of Science Core Collection databases until 22 February 2024. The articles included in this review (n = 38) examined the relationships of PNI and CONUT with survival outcomes in elderly cancer patients. Despite high heterogeneity between the studies, most concluded that low PNI values are associated with poor overall survival (OS), particularly in gastric cancer patients. Most studies did not find an association between PNI and cancer-specific survival, progression-free survival, disease-free survival, recurrence-free survival, and mortality. Results regarding the prognostic role of CONUT in predicting survival were inconclusive. This study suggests that PNI could be used to predict OS in elderly cancer patients, while more studies are needed to assess the prognostic role of CONUT. Full article
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27 pages, 8110 KiB  
Review
A Review on Low-Temperature Protonic Conductors: Principles and Chemical Sensing Applications
by Sofia R. Mendes, Georgenes M. G. da Silva, Evando S. Araújo and Pedro M. Faia
Chemosensors 2024, 12(6), 96; https://doi.org/10.3390/chemosensors12060096 (registering DOI) - 2 Jun 2024
Abstract
Proton conductors are ceramic materials with a crystalline or amorphous structure, which allow the passage of an electrical current through them exclusively by the movement of protons: H+. Recent developments in proton-conducting ceramics present considerable promise for obtaining economic and sustainable [...] Read more.
Proton conductors are ceramic materials with a crystalline or amorphous structure, which allow the passage of an electrical current through them exclusively by the movement of protons: H+. Recent developments in proton-conducting ceramics present considerable promise for obtaining economic and sustainable energy conversion and storage devices, electrolysis cells, gas purification, and sensing applications. So, proton-conducting ceramics that combine sensitivity, stability, and the ability to operate at low temperatures are particularly attractive. In this article, the authors start by presenting a brief historical resume of proton conductors and by exploring their properties, such as structure and microstructure, and their correlation with conductivity. A perspective regarding applications of these materials on low-temperature energy-related devices, electrochemical and moisture sensors, is presented. Finally, the authors’ efforts on the usage of a proton-conducting ceramic, polyantimonic acid (PAA), to develop humidity sensors, are looked into. Full article
(This article belongs to the Section Applied Chemical Sensors)
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12 pages, 295 KiB  
Article
Genetic Polymorphisms of P2RX7 but Not of ADORA2A Are Associated with the Severity of SARS-CoV-2 Infection
by Jorge Lindo, Célia Nogueira, Rui Soares, Nuno Cunha, Maria Rosário Almeida, Lisa Rodrigues, Patrícia Coelho, Francisco Rodrigues, Rodrigo A. Cunha and Teresa Gonçalves
Int. J. Mol. Sci. 2024, 25(11), 6135; https://doi.org/10.3390/ijms25116135 (registering DOI) - 2 Jun 2024
Abstract
SARS-CoV-2 infection ranges from mild to severe presentations, according to the intensity of the aberrant inflammatory response. Purinergic receptors dually control the inflammatory response: while adenosine A2A receptors (A2ARs) are anti-inflammatory, ATP P2X7 receptors (P2X7Rs) exert pro-inflammatory effects. The aim of this study [...] Read more.
SARS-CoV-2 infection ranges from mild to severe presentations, according to the intensity of the aberrant inflammatory response. Purinergic receptors dually control the inflammatory response: while adenosine A2A receptors (A2ARs) are anti-inflammatory, ATP P2X7 receptors (P2X7Rs) exert pro-inflammatory effects. The aim of this study was to assess if there were differences in allelic and genotypic frequencies of a loss-of-function SNP of ADORA2A (rs2298383) and a gain-of-function single nucleotide polymorphism (SNP) of P2RX7 (rs208294) in the severity of SARS-CoV-2-associated infection. Fifty-five individuals were enrolled and categorized according to the severity of the infection. Endpoint genotyping was performed in blood cells to screen for both SNPs. The TT genotype (vs. CT + CC) and the T allele (vs. C allele) of P2RX7 SNP were found to be associated with more severe forms of COVID-19, whereas the association between ADORA2A SNP and the severity of infection was not significantly different. The T allele of P2RX7 SNP was more frequent in people with more than one comorbidity and with cardiovascular conditions and was associated with colorectal cancer. Our findings suggest a more prominent role of P2X7R rather than of A2AR polymorphisms in SARS-CoV-2 infection, although larger population-based studies should be performed to validate our conclusions. Full article
13 pages, 7061 KiB  
Article
The Influence of Microstructure on TCR for Inkjet-Printed Resistive Temperature Detectors Fabricated Using AgNO3/Ethylene-Glycol-Based Inks
by Aziz Radwan, Yongkun Sui and Christian Zorman
Micromachines 2024, 15(6), 749; https://doi.org/10.3390/mi15060749 (registering DOI) - 2 Jun 2024
Abstract
This study investigated the influence of microstructure on the performance of Ag inkjet-printed, resistive temperature detectors (RTDs) fabricated using particle-free inks based on a silver nitrate (AgNO3) precursor and ethylene glycol as the ink solvent. Specifically, the temperature coefficient of resistance [...] Read more.
This study investigated the influence of microstructure on the performance of Ag inkjet-printed, resistive temperature detectors (RTDs) fabricated using particle-free inks based on a silver nitrate (AgNO3) precursor and ethylene glycol as the ink solvent. Specifically, the temperature coefficient of resistance (TCR) and sensitivity for sensors printed using inks that use monoethylene glycol (mono-EG), diethylene glycol (di-EG), and triethylene glycol (tri-EG) and subjected to a low-pressure argon (Ar) plasma after printing were investigated. Scanning electron microscopy (SEM) confirmed previous findings that microstructure is strongly influenced by the ink solvent, with mono-EG inks producing dense structures, while di- and tri-EG inks produce porous structures, with tri-EG inks yielding the most porous structures. RTD testing revealed that sensors printed using mono-EG ink exhibited the highest TCR (1.7 × 10−3/°C), followed by di-EG ink (8.2 × 10−4/°C) and tri-EG ink (7.2 × 10−4/°C). These findings indicate that porosity exhibits a strong negative influence on TCR. Sensitivity was not strongly influenced by microstructure but rather by the resistance of RTD. The highest sensitivity (0.84 Ω/°C) was observed for an RTD printed using mono-EG ink but not under plasma exposure conditions that yield the highest TCR. Full article
(This article belongs to the Special Issue Microstructured Sensors: From Design to Application)
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19 pages, 12253 KiB  
Article
Rapid pH Value Detection in Secondary Fermentation of Maize Silage Using Hyperspectral Imaging
by Yang Yu, Haiqing Tian, Kai Zhao, Lina Guo, Jue Zhang, Zhu Liu, Xiaoyu Xue, Yan Tao and Jinxian Tao
Agronomy 2024, 14(6), 1204; https://doi.org/10.3390/agronomy14061204 (registering DOI) - 2 Jun 2024
Abstract
As pH is a key factor affecting the quality of maize silage, its accurate detection is essential to ensuring product quality. Although traditional methods for testing the pH of maize silage feed are widely used, the procedures are often complex and time-consuming and [...] Read more.
As pH is a key factor affecting the quality of maize silage, its accurate detection is essential to ensuring product quality. Although traditional methods for testing the pH of maize silage feed are widely used, the procedures are often complex and time-consuming and may damage the sample. This study presents a non-destructive hyperspectral imaging (HSI) technology that provides a more efficient and cost-effective method of monitoring pH by capturing the spectral information of samples and analyzing their chemical and physical properties rapidly and without contact. We applied four spectral preprocessing methods, among which the multiplicative scatter correction (MSC) preprocessing method yielded the best results. To minimize model redundancy and enhance predictive performance, we utilized six feature extraction methods for characteristic wavelength extraction, integrating these with partial least squares (PLS), non-linear support vector machine regression (SVR), and extreme learning machine (ELM) algorithms to construct a quantitative pH value prediction model. The results showed that the model based on the bootstrapping soft shrinkage (BOSS) feature wavelength extraction method outperformed the other feature extraction methods, selecting 20 pH value-related feature wavelengths from 256 bands and building a stable BOSS–ELM model with prediction set determination coefficient (RP2), root-mean-square error of prediction (RMSEP), and relative percentage deviation (RPD) values of 0.9241, 0.4372, and 3.6565, respectively. To further optimize the model for precisely predicting pH at each pixel in hyperspectral images, we employed three algorithms: the genetic algorithm (GA), whale optimization algorithm (WOA), and bald eagle search (BES). These algorithms optimized and compared the BOSS–ELM model to obtain the best model for predicting maize silage pH: the BOSS–BES–ELM model. This model achieved a determination coefficient (RP2) of 0.9598, an RMSEP of 0.3216, and an RPD of 5.1448. We generated a visualized distribution map of pH value variation in maize silage using the BOSS–BES–ELM model. This study provides strong technical support and a reference for the rapid, non-destructive detection of maize silage pH from an image, an advancement of great significance to ensuring the quality of maize silage. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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25 pages, 718 KiB  
Review
Handwritten Recognition Techniques: A Comprehensive Review
by Husam Ahmad Alhamad, Mohammad Shehab, Mohd Khaled Y. Shambour, Muhannad A. Abu-Hashem, Ala Abuthawabeh, Hussain Al-Aqrabi, Mohammad Sh. Daoud and Fatima B. Shannaq
Symmetry 2024, 16(6), 681; https://doi.org/10.3390/sym16060681 (registering DOI) - 2 Jun 2024
Abstract
Given the prevalence of handwritten documents in human interactions, optical character recognition (OCR) for documents holds immense practical value. OCR is a field that empowers the translation of various document types and images into data that can be analyzed, edited, and searched. In [...] Read more.
Given the prevalence of handwritten documents in human interactions, optical character recognition (OCR) for documents holds immense practical value. OCR is a field that empowers the translation of various document types and images into data that can be analyzed, edited, and searched. In handwritten recognition techniques, symmetry can be crucial to improving accuracy. It can be used as a preprocessing step to normalize the input data, making it easier for the recognition algorithm to identify and classify characters accurately. This review paper aims to summarize the research conducted on character recognition for handwritten documents and offer insights into future research directions. Within this review, the research articles focused on handwritten OCR were gathered, synthesized, and examined, along with closely related topics, published between 2019 and the first quarter of 2024. Well-established electronic databases and a predefined review protocol were utilized for article selection. The articles were identified through keyword, forward, and backward reference searches to comprehensively cover all relevant literature. Following a rigorous selection process, 116 articles were included in this systematic literature review. This review article presents cutting-edge achievements and techniques in OCR and underscores areas where further research is needed. Full article
(This article belongs to the Section Computer)
15 pages, 14126 KiB  
Article
The Role of Oxygen Vacancies in Phase Transition and the Optical Absorption Properties within Nanocrystalline ZrO2
by Jing Ouyang, Yonghui Peng, Wentao Zhou, Xianfeng Liang, Gang Wang, Qi Zhang and Bo Yuan
Nanomaterials 2024, 14(11), 967; https://doi.org/10.3390/nano14110967 (registering DOI) - 2 Jun 2024
Abstract
Zirconia (ZrO2) nanoparticles were synthesized using a solvothermal method under varying synthesis conditions, namely acidic, neutral, and alkaline. X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM) were leveraged to investigate the phase evolution and topographical features in detail. The [...] Read more.
Zirconia (ZrO2) nanoparticles were synthesized using a solvothermal method under varying synthesis conditions, namely acidic, neutral, and alkaline. X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM) were leveraged to investigate the phase evolution and topographical features in detail. The resulting crystal phase structures and grain sizes exhibited substantial variation based on these conditions. Notably, the acidic condition fostered a monoclinic phase in ZrO2, while the alkaline condition yielded a combination of tetragonal and monoclinic phases. In contrast, ZrO2 obtained under neutral conditions demonstrated a refinement in grain sizes, constrained within a 1 nm scale upon an 800 °C thermal treatment. This was accompanied by an important transformation from a monoclinic phase to tetragonal phase in the ZrO2. Furthermore, a rigorous examination of XPS data and a UV-visible spectrometer (UV-vis) analysis revealed the significant role of oxygen vacancies in phase stabilization. The notable emergence of new energy bands in ZrO2, in stark contrast to the intrinsic bands observed in a pure monoclinic sample, are attributed to these oxygen vacancies. This research offers valuable insights into the novel energy bands, phase stability, and optical absorption properties influenced by oxygen vacancies in ZrO2. Moreover, it proposes an innovative energy level model for zirconia, underpinning its applicability in diverse technological areas. Full article
(This article belongs to the Special Issue Synthesis and Application of Optical Nanomaterials)
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17 pages, 4180 KiB  
Article
Study of the Thermal Phase Transition of Poly(N,N-diethylacrylamide-co-N-ethylacrylamide) Random Copolymers in Aqueous Solution
by José Javier Coca-Hidalgo, Maricarmen Recillas-Mota, Daniel Fernández-Quiroz, Jaime Lizardi-Mendoza, Carlos Peniche-Covas, Francisco M. Goycoolea and Waldo M. Argüelles-Monal
Polymers 2024, 16(11), 1575; https://doi.org/10.3390/polym16111575 (registering DOI) - 2 Jun 2024
Abstract
N-alkyl-substituted polyacrylamides exhibit a thermal coil-to-globule transition in aqueous solution driven by an increase in hydrophobic interactions with rising temperature. With the aim of understanding the role of N-alkyl substituents in the thermal transition, this study focuses on the molecular interactions [...] Read more.
N-alkyl-substituted polyacrylamides exhibit a thermal coil-to-globule transition in aqueous solution driven by an increase in hydrophobic interactions with rising temperature. With the aim of understanding the role of N-alkyl substituents in the thermal transition, this study focuses on the molecular interactions underlying the phase transition of poly(N,N-diethylacrylamide-co-N-ethylacrylamide) random copolymers. Poly(N,N-diethylacrylamide) (PDEAm), poly(N-ethylacrylamide) (PNEAm), and their random copolymers were synthesized by free radical polymerization and their chemical structure characterized spectroscopically. It was found that the values of the cloud-point temperature increased with PNEAm content, and particle aggregation processes took place, increasing the negative charge density on their surface. The cloud-point temperature of each copolymer decreased with respect to the theoretical values calculated assuming an absence of interactions. It is attributed to the formation of intra- and interchain hydrogen bonding in aqueous solutions. These interactions favor the formation of more hydrophobic macromolecular segments, thereby promoting the cooperative nature of the transition. These results definitively reveal the dominant mechanism occurring during the phase transition in the aqueous solutions of these copolymers. Full article
(This article belongs to the Special Issue Polymer Theory and Simulation)
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29 pages, 11373 KiB  
Article
The Cyclic Performance and Macro-Simplified Analytical Model of Internal Joints in RC-Assembled Frame Structures Connected by Unbonded Prestressed Strands and Mortise-Tenon Based on Numerical Studies
by Junwei Wang, Wenxue Zhang and Cheng Zhang
Buildings 2024, 14(6), 1629; https://doi.org/10.3390/buildings14061629 (registering DOI) - 2 Jun 2024
Abstract
This paper introduces a novel type of connection that integrates unbonded prestressed strands (UPS) and mortise-tenon in an assembly frame structure (UPS-MTF). First, the damage process and failure modes of the joints under reciprocating horizontal loads were systematically analyzed using refined numerical models. [...] Read more.
This paper introduces a novel type of connection that integrates unbonded prestressed strands (UPS) and mortise-tenon in an assembly frame structure (UPS-MTF). First, the damage process and failure modes of the joints under reciprocating horizontal loads were systematically analyzed using refined numerical models. The recommended values of the design parameters of the joints were derived from the parametric analysis results. Refined numerical modeling results reveal the diagonal compression strut mechanism within the core region of the joint. The diagonal compression struts model assists in establishing the theoretical calculation formula for the skeleton curve of shear stress–strain in the core region. Second, a genetic algorithm (GA) parameter was identified for the restoring force model of the core region to determine the parameters of the hysteresis rules. Finally, a macro-simplified analytical model of the joint was created based on the restoring force model of the core region, and parameter analysis was conducted to verify the applicability of this macro-simplified analytical model. The research results prove that the damaged form of the joint proposed in this paper originates from the shear and relative slip damage between the components in the core region. The axial compression ratio significantly affects the hysteretic performance of the joints, and the upper and lower limit values were identified for the axial compression ratio of the joints. The area and initial effective stress of the UPS exert a minimal effect on the hysteretic performance of the joint. Based on the method proposed in this paper for determining the restoring force model in the core region of the joints, the hysteresis curves obtained from the macro-simplified analytical model closely match the refined numerical analysis model results. This correspondence verifies the applicability of the macro-simplified analytical model. Full article
(This article belongs to the Special Issue Innovation of Seismic Behavior in Structural Engineering)
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17 pages, 2724 KiB  
Article
Phylogeny, Genetic Diversity and Population Structure of Fritillaria cirrhosa and Its Relatives Based on Chloroplast Genome Data
by Jiao Huang, Xia Hu, Yong Zhou, Yan-Jie Peng and Zhong Liu
Genes 2024, 15(6), 730; https://doi.org/10.3390/genes15060730 (registering DOI) - 2 Jun 2024
Abstract
Fritillaria cirrhosa and its relatives have been utilized in traditional Chinese medicine for many years and are under priority protection in China. Despite their medicinal and protective value, research on their phylogeny, genetic diversity, and divergence remains limited. Here, we investigate the chloroplast [...] Read more.
Fritillaria cirrhosa and its relatives have been utilized in traditional Chinese medicine for many years and are under priority protection in China. Despite their medicinal and protective value, research on their phylogeny, genetic diversity, and divergence remains limited. Here, we investigate the chloroplast genome variation architecture of 46 samples of F. cirrhosa and its relatives collected from various regions, encompassing the majority of wild populations across diverse geographical areas. The results indicate abundant variations in 46 accessions including 1659 single-nucleotide polymorphisms and 440 indels. Six variable markers (psbJ, ndhD, ycf1, ndhG, trnT-trnL, and rpl32-trnL) were identified. Phylogenetic and network analysis, population structure analysis, and principal component analysis showed that the 46 accessions formed five clades with significant divergence, which were related to their geographical distribution. The regions spanning from the southern Hengduan Mountains to the Qinghai–Tibet Plateau exhibited the highest levels of genetic diversity. F. cirrhosa and its relatives may have suffered a genetic bottleneck and have a relatively low genetic diversity level. Moreover, geographical barriers and discrete patches may have accelerated population divergence. The study offers novel perspectives on the phylogeny, genetic diversity, and population structure of F. cirrhosa and its relatives, information that can inform conservation and utilization strategies in the future. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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19 pages, 546 KiB  
Article
Consumer Engagement in Fashion Circularity in China: Exploring Consumer Online Fashion Resale through the Lens of Social Practice Theory
by Sujun Liu, Chuanlan Liu and Chunmin Lang
Sustainability 2024, 16(11), 4733; https://doi.org/10.3390/su16114733 (registering DOI) - 2 Jun 2024
Abstract
Fashion resale has emerged as a notable strategy for the fashion industry to reduce its environmental footprint by promoting fashion circularity. Despite extensive research on consumer awareness of resale and the purchase of pre-owned items, there remains a gap in understanding the factors [...] Read more.
Fashion resale has emerged as a notable strategy for the fashion industry to reduce its environmental footprint by promoting fashion circularity. Despite extensive research on consumer awareness of resale and the purchase of pre-owned items, there remains a gap in understanding the factors that influence consumers’ participation in resale markets, encompassing both selling and buying practices. Drawing on social practice theory (SPT), this qualitative study examines the nuanced factors influencing consumers’ online resale practices and investigates how online fashion resale practices (OFRPs) have become integrated into their daily consumption patterns. In-depth interviews were conducted with thirty experienced Chinese consumers engaged in both the selling and buying practices of secondhand fashion. Initially, the study identified eight nuanced motivations and seven challenges influencing consumers’ OFRPs. Subsequently, the research uncovered two types of materials and seven core skills necessary for successful OFRP transactions, along with six associated meanings of OFRPs. Specifically, we found that participants seamlessly integrated OFRP into their daily routines through nurtured sociality, and OFRP only fostered sustainable consumption behaviors in one-third of participants, suggesting significant room for improvement. This study provides empirical insights into the existing literature and offers actionable recommendations to key stakeholders for advancing fashion circularity—a critical objective for the sustainability of the fashion industry. Full article
(This article belongs to the Special Issue Circular Economy and Technological Innovation: 2nd Edition)
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14 pages, 2080 KiB  
Article
Pioneering Data Processing for Convolutional Neural Networks to Enhance the Diagnostic Accuracy of Traditional Chinese Medicine Pulse Diagnosis for Diabetes
by Wei-Chang Yeh, Chen-Yi Kuo, Jia-Ming Chen, Tien-Hsiung Ku, Da-Jeng Yao, Ya-Chi Ho and Ruei-Yu Lin
Bioengineering 2024, 11(6), 561; https://doi.org/10.3390/bioengineering11060561 (registering DOI) - 2 Jun 2024
Abstract
Traditional Chinese medicine (TCM) has relied on pulse diagnosis as a cornerstone of healthcare assessment for thousands of years. Despite its long history and widespread use, TCM pulse diagnosis has faced challenges in terms of diagnostic accuracy and consistency due to its dependence [...] Read more.
Traditional Chinese medicine (TCM) has relied on pulse diagnosis as a cornerstone of healthcare assessment for thousands of years. Despite its long history and widespread use, TCM pulse diagnosis has faced challenges in terms of diagnostic accuracy and consistency due to its dependence on subjective interpretation and theoretical analysis. This study introduces an approach to enhance the accuracy of TCM pulse diagnosis for diabetes by leveraging the power of deep learning algorithms, specifically LeNet and ResNet models, for pulse waveform analysis. LeNet and ResNet models were applied to analyze TCM pulse waveforms using a diverse dataset comprising both healthy individuals and patients with diabetes. The integration of these advanced algorithms with modern TCM pulse measurement instruments shows great promise in reducing practitioner-dependent variability and improving the reliability of diagnoses. This research bridges the gap between ancient wisdom and cutting-edge technology in healthcare. LeNet-F, incorporating special feature extraction of a pulse based on TMC, showed improved training and test accuracies (73% and 67%, respectively, compared with LeNet’s 70% and 65%). Moreover, ResNet models consistently outperformed LeNet, with ResNet18-F achieving the highest accuracy (82%) in training and 74% in testing. The advanced preprocessing techniques and additional features contribute significantly to ResNet18-F’s superior performance, indicating the importance of feature engineering strategies. Furthermore, the study identifies potential avenues for future research, including optimizing preprocessing techniques to handle pulse waveform variations and noise levels, integrating additional time–frequency domain features, developing domain-specific feature selection algorithms, and expanding the scope to other diseases. These advancements aim to refine traditional Chinese medicine pulse diagnosis, enhancing its accuracy and reliability while integrating it into modern technology for more effective healthcare approaches. Full article
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11 pages, 3884 KiB  
Article
Encapsulation and Evolution of Polyynes Inside Single-Walled Carbon Nanotubes
by Kunpeng Tang, Yinong Li, Yingzhi Chen, Weili Cui, Zhiwei Lin, Yifan Zhang and Lei Shi
Nanomaterials 2024, 14(11), 966; https://doi.org/10.3390/nano14110966 (registering DOI) - 2 Jun 2024
Abstract
Polyyne is an sp-hybridized linear carbon chain (LCC) with alternating single and triple carbon–carbon bonds. Polyyne is very reactive; thus, its structure can be easily damaged through a cross-linking reaction between the molecules. The longer the polyyne is, the more unstable it becomes. [...] Read more.
Polyyne is an sp-hybridized linear carbon chain (LCC) with alternating single and triple carbon–carbon bonds. Polyyne is very reactive; thus, its structure can be easily damaged through a cross-linking reaction between the molecules. The longer the polyyne is, the more unstable it becomes. Therefore, it is difficult to directly synthesize long polyynes in a solvent. The encapsulation of polyynes inside carbon nanotubes not only stabilizes the molecules to avoid cross-linking reactions, but also allows a restriction reaction to occur solely at the ends of the polyynes, resulting in long LCCs. Here, by controlling the diameter of single-walled carbon nanotubes (SWCNTs), polyynes were filled with high yield below room temperature. Subsequent annealing of the filled samples promoted the reaction between the polyynes, leading to the formation of long LCCs. More importantly, single chiral (6,5) SWCNTs with high purity were used for the successful encapsulation of polyynes for the first time, and LCCs were synthesized by coalescing the polyynes in the (6,5) SWCNTs. This method holds promise for further exploration of the synthesis of property-tailored LCCs through encapsulation inside different chiral SWCNTs. Full article
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14 pages, 4906 KiB  
Article
Mechanical Behavior of Geogrid Flexible Reinforced Soil Wall Subjected to Dynamic Load
by Yuliang Lin, Sumei Liu, Bin He, Lihua Li and Liping Qiao
Buildings 2024, 14(6), 1628; https://doi.org/10.3390/buildings14061628 (registering DOI) - 2 Jun 2024
Abstract
The geogrid flexible reinforced soil wall is widely used in engineering practice. However, a more comprehensive understanding of the dynamic behavior of reinforced soil wall is still required for a more reasonable application. In order to explore the mechanical behavior of a geogrid [...] Read more.
The geogrid flexible reinforced soil wall is widely used in engineering practice. However, a more comprehensive understanding of the dynamic behavior of reinforced soil wall is still required for a more reasonable application. In order to explore the mechanical behavior of a geogrid flexible reinforced soil wall, the model test was carried out to investigate the dynamic deformation of geogrid reinforced soil wall subjected to a repeated load. The numerical simulation was also conducted for comparison and extension with regards to the earth pressure and the reinforcement strain. The change rules for the deformation of the wall face, the vertical earth pressure and the reinforcement strain subjected to dynamic load with four frequencies (4, 6, 8 and 10 Hz) and four amplitudes (30–60, 40–80, 50–100 and 60–120 kPa) were obtained. The factors that affect the mechanical behavior of geogrid flexible reinforced soil wall were analyzed. The results show that the dynamic deformation characteristics of reinforced soil wall are affected by the number of vibrations, the amplitude of dynamic load and the frequency of vibration. The maximum lateral displacement of the reinforced soil wall occurs on the third to the fifth layer. With an increase in dynamic load amplitude, the development of dynamic deformation gradually increases, and after a cumulative vibration of 200 × 104 times, the cumulative lateral deformation ratio and the cumulative vertical deformation ratio of the wall face is less than 1%. The vertical earth pressure of geogrid flexible reinforced soil wall increases partially along the length of the reinforcement, and the vertical earth pressure of the third layer is basically unchanged when subjected to a dynamic load. With an increase in vibration number, the change in the reinforcement strain of the third layer is more complex, and the change rules of the reinforcement strain of each layer are different. The reinforcement strain is small, with a maximum value of 0.1%. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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23 pages, 32557 KiB  
Article
Effects of PVD CrAlN/(CrAlB)N/CrAlN Coating on Pin–Disc Friction Properties of Ti2AlNb Alloys Compared to WC/Co Carbide at Evaluated Temperatures
by Jinfu Zhao, Lirui Zheng, Wenqian Li, Zhanqiang Liu, Liangliang Li, Bing Wang, Yukui Cai, Xiaoping Ren and Xiaoliang Liang
Metals 2024, 14(6), 662; https://doi.org/10.3390/met14060662 (registering DOI) - 2 Jun 2024
Abstract
Physical vapor deposition (PVD) coatings could affect the friction performance at the contact interface between Ti2AlNb alloy parts and tool couples. Suitable coating types could improve the friction properties of Ti2AlNb alloy while in contact with WC/Co carbide. In [...] Read more.
Physical vapor deposition (PVD) coatings could affect the friction performance at the contact interface between Ti2AlNb alloy parts and tool couples. Suitable coating types could improve the friction properties of Ti2AlNb alloy while in contact with WC/Co carbide. In this study, the linear reciprocating pin–disc friction tests between the Ti2AlNb alloy and the WC/Co carbide tool couple, with the sole variation of the PVD CrAlN/(CrAlB)N/CrAlN coating were conducted within the temperature range of 25–600 °C. The antifriction properties of the Ti2AlNb alloy were estimated using the time-varied friction coefficients, the alloy wear rate, worn surface topography, worn surface element, and wear mechanism analysis. The results showed that the PVD CrAlN/(CrAlB)N/CrAlN coating could decrease the average friction coefficient and alloy wear rate compared to the uncoated WC/Co carbide couple. The apparent adhesive wear and abrasive wear of the Ti2AlNb alloy could be improved due to the PVD coating at evaluated temperatures. The PVD CrAlN/(CrAlB)N/CrAlN coating could be utilized to improve the antifriction properties of the Ti2AlNb alloy, which may be deposited on the cutting tool to improve the machining performance of Ti2AlNb alloys in future aerospace machining industry. Full article
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18 pages, 2939 KiB  
Article
Structural, Electrical, and Optical Properties of Single-Walled Carbon Nanotubes Synthesized through Floating Catalyst Chemical Vapor Deposition
by Melorina Dolafi Rezaee, Biplav Dahal, John Watt, Mahir Abrar, Deidra R. Hodges and Wenzhi Li
Nanomaterials 2024, 14(11), 965; https://doi.org/10.3390/nano14110965 (registering DOI) - 2 Jun 2024
Abstract
Single-walled carbon nanotube (SWCNT) thin films were synthesized by using a floating catalyst chemical vapor deposition (FCCVD) method with a low flow rate (200 sccm) of mixed gases (Ar and H2). SWCNT thin films with different thicknesses can be prepared by [...] Read more.
Single-walled carbon nanotube (SWCNT) thin films were synthesized by using a floating catalyst chemical vapor deposition (FCCVD) method with a low flow rate (200 sccm) of mixed gases (Ar and H2). SWCNT thin films with different thicknesses can be prepared by controlling the collection time of the SWCNTs on membrane filters. Transmission electron microscopy (TEM) showed that the SWCNTs formed bundles and that they had an average diameter of 1.46 nm. The Raman spectra of the SWCNT films suggested that the synthesized SWCNTs were very well crystallized. Although the electrical properties of SWCNTs have been widely studied so far, the Hall effect of SWCNTs has not been fully studied to explore the electrical characteristics of SWCNT thin films. In this research, Hall effect measurements have been performed to investigate the important electrical characteristics of SWCNTs, such as their carrier mobility, carrier density, Hall coefficient, conductivity, and sheet resistance. The samples with transmittance between 95 and 43% showed a high carrier density of 1021–1023 cm−3. The SWCNTs were also treated using Brønsted acids (HCl, HNO3, H2SO4) to enhance their electrical properties. After the acid treatments, the samples maintained their p-type nature. The carrier mobility and conductivity increased, and the sheet resistance decreased for all treated samples. The highest mobility of 1.5 cm2/Vs was obtained with the sulfuric acid treatment at 80 °C, while the highest conductivity (30,720 S/m) and lowest sheet resistance (43 ohm/square) were achieved with the nitric acid treatment at room temperature. Different functional groups were identified in our synthesized SWCNTs before and after the acid treatments using Fourier-Transform Infrared Spectroscopy (FTIR). Full article
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4 pages, 158 KiB  
Editorial
Agricultural Unmanned Systems: Empowering Agriculture with Automation
by Mengke Zhang and Shubo Wang
Agronomy 2024, 14(6), 1203; https://doi.org/10.3390/agronomy14061203 (registering DOI) - 2 Jun 2024
Abstract
Automation is crucial for the advancement of modern agriculture [...] Full article
(This article belongs to the Special Issue Agricultural Unmanned Systems: Empowering Agriculture with Automation)
14 pages, 3506 KiB  
Article
A Study on the Compatibility of a Food-Recording Application with Questionnaire-Based Methods in Healthy Japanese Individuals
by Katsumi Iizuka, Kanako Deguchi, Chihiro Ushiroda, Kotone Yanagi, Yusuke Seino, Atsushi Suzuki, Daisuke Yabe, Hitomi Sasaki, Satoshi Sasaki, Eiichi Saitoh and Hiroyuki Naruse
Nutrients 2024, 16(11), 1742; https://doi.org/10.3390/nu16111742 (registering DOI) - 2 Jun 2024
Abstract
In Japan, nutritional guidance based on food-recording apps and food frequency questionnaires (FFQs) is becoming popular. However, it is not always recognized that different dietary assessment methods have different nutritional values. Here, we compared the compatibility of dietary intake data obtained from an [...] Read more.
In Japan, nutritional guidance based on food-recording apps and food frequency questionnaires (FFQs) is becoming popular. However, it is not always recognized that different dietary assessment methods have different nutritional values. Here, we compared the compatibility of dietary intake data obtained from an app with those obtained from FFQs in 59 healthy individuals who recorded information regarding their diet for at least 7 days per month using an app developed by Asken (Tokyo, Japan). The diurnal coefficient of variation in total energy and protein intake was 20%, but those for vitamins B12 and D were >80%, reflecting the importance of 7 days of recording rather than a single day of recording for dietary intake analyses. Then, we compared the results of two FFQs—one based on food groups and one based on a brief self-administered diet history questionnaire—for 7 days, as recorded by the app. There was a correlation coefficient of >0.4 for all the items except salt. Regarding the compatibility between the app and FFQs, the percentage errors for total energy and nutrients were >40–50%, suggesting no agreement between the app and the two FFQs. In conclusion, careful attention should be paid to the impact of different dietary assessment methods on nutrient assessment. Full article
(This article belongs to the Section Nutrition Methodology & Assessment)
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11 pages, 1242 KiB  
Article
Usage of Meropenem Continuous Infusion for Treatment of Infectious Complications in Orthopedic Elderly Patients with Anemia: A Case Series
by Aidos Konkayev, Assiya Kadralinova, Benazir Azimova, Damira Tazhibayeva, Aigerim Yeltayeva and Maiya Konkayeva
Medicina 2024, 60(6), 929; https://doi.org/10.3390/medicina60060929 (registering DOI) - 2 Jun 2024
Abstract
Background and Objectives: The prolonged infusion of meropenem is recommended by guidelines for the treatment of sepsis. However, studies provide controversial data on the advantages of prolonged infusions over intermittent ones. In our opinion, this can be related to age, which possibly distorts [...] Read more.
Background and Objectives: The prolonged infusion of meropenem is recommended by guidelines for the treatment of sepsis. However, studies provide controversial data on the advantages of prolonged infusions over intermittent ones. In our opinion, this can be related to age, which possibly distorts the final data, as older people have age-related characteristics. In our study, we analyzed the ventilatory status, laboratory tests and vital signs of the patient and carried out microbiological cultures. Materials and Methods: This was a prospective single-center case series investigation conducted from June 2022 to June 2023. The objective of this study was to evaluate the effectiveness of continuous infusion in elderly patients with severe infectious complications after orthopedic interventions. The primary endpoints were 28-day survival and the emergence of new multidrug-resistant strains. Secondary endpoints were long-term mortality and length of stay in the ICU. Results: Three patients (median age 65, 100% female) received a continuous infusion of meropenem. Two patients were alive at hospital discharge, and one patient died on the 105th day of hospitalization. Multi-resistant bacteria were observed in one patient. Conclusions: The use of a continuous meropenem infusion in the complex treatment of purulent-septic complications in elderly patients with periprosthetic infection and anemia probably led to clinical improvement in these case reports. However, the emergence of new pan-resistant strains and overall mortality using this infusion technique remains unclear. Further, high-quality RCTs for the elderly are needed. Full article
(This article belongs to the Section Intensive Care/ Anesthesiology)
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11 pages, 464 KiB  
Article
A Retrospective Cohort Analysis of Transarterial Chemoembolization for Hepatocellular Cancer at a Tertiary Center in Switzerland
by Fabian Haak, Tobias Karli, Martin Takes, Christoph Zech, Otto Kollmar and Savas D. Soysal
J. Clin. Med. 2024, 13(11), 3279; https://doi.org/10.3390/jcm13113279 (registering DOI) - 2 Jun 2024
Abstract
Background/Objectives: International guidelines recommend transarterial chemoembolization (TACE) for intermediate-stage hepatocellular carcinoma (HCC). However, it is used outside these recommendations and has proven beneficial in prolonging survival. Since the role of TACE outside BCLC stage B is unclear, the present study analyzed the [...] Read more.
Background/Objectives: International guidelines recommend transarterial chemoembolization (TACE) for intermediate-stage hepatocellular carcinoma (HCC). However, it is used outside these recommendations and has proven beneficial in prolonging survival. Since the role of TACE outside BCLC stage B is unclear, the present study analyzed the results of TACE performed at a tertiary center in Switzerland for different treatment groups, and aims to highlight the treatment outcomes for these groups. Methods: This retrospective cohort study includes 101 HCC patients undergoing TACE at our center. Patients were further subdivided into groups according to therapy combinations (therapies applied before and after index TACE). Kaplan–Meier survival curves were calculated for the Barcelona Center for Liver Cancer (BCLC) subgroups. Results: After TACE, the median survival was 28.1 months for BCLC 0, 31.5 months for BCLC A, 20.5 months for BCLC B, 10.8 for BCLC C, and 7.5 months for BCLC D. A lesion size larger than 55 mm was negatively associated with survival (HR 2.8, 95% CI 1.15–6.78). Complications occurred after TACE procedures: Clavien–Dindo I + II = 30, Clavien–Dindo > 3 = 2. Conclusions: TACE was performed in a substantial part of our cohort outside of routinely used treatment guidelines. The combination of the survival data and complication rate in these patients suggests it was a safe and beneficial strategy. Furthermore, our data show that in our cohort, the survival benefit associated with TACE was restricted to patients with a lesion size smaller than 55 mm. Full article
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)
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15 pages, 5003 KiB  
Article
Assessing Electric Vertical Take-Off and Landing for Urban Air Taxi Services: Key Parameters and Future Transportation Impact
by Yinfei Liu and Chao Gao
Sustainability 2024, 16(11), 4732; https://doi.org/10.3390/su16114732 (registering DOI) - 2 Jun 2024
Abstract
Urban air mobility (UAM) enabled by electric vertical take-off and landing (eVTOL) aircraft presents an innovative transportation system for mega-cities. An analysis of the techno-economic feasibility of eVTOL air taxis can provide insights into the development and potential impacts of this emerging mobility [...] Read more.
Urban air mobility (UAM) enabled by electric vertical take-off and landing (eVTOL) aircraft presents an innovative transportation system for mega-cities. An analysis of the techno-economic feasibility of eVTOL air taxis can provide insights into the development and potential impacts of this emerging mobility solution. This study examines eVTOL configurations and proposes a conceptual model for eVTOL air taxi services. A generic cost–revenue model is developed to evaluate the economic feasibility using the rate of return-on-investment approach. Two critical parameters are identified—maximum voyage and price per kilometer. The modeling analysis shows that eVTOL air taxis can achieve a positive rate of return given realistic assumptions on the critical parameters. Reductions in operating costs and increases in maximum voyage range improve financial viability. With technological advancement, eVTOL air taxis are expected to transform urban transportation by increasing capacity and flexibility. The techno-economic analysis provides useful implications for urban planning and policy regarding this innovative mobility mode. Full article
(This article belongs to the Special Issue Advances in Sustainability in Air Transport and Multimodality)
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20 pages, 6137 KiB  
Article
Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine
by Junwei Yang, Xin Sun, Hua Yang and Xiangjun Wang
Biomimetics 2024, 9(6), 336; https://doi.org/10.3390/biomimetics9060336 (registering DOI) - 2 Jun 2024
Abstract
The vibrissae of harbor seals exhibit a distinct three-dimensional structure compared to circular cylinders, resulting in a wave-shaped configuration that effectively reduces drag and suppresses vortex shedding in the wake. However, this unique cylinder design has not yet been applied to wind power [...] Read more.
The vibrissae of harbor seals exhibit a distinct three-dimensional structure compared to circular cylinders, resulting in a wave-shaped configuration that effectively reduces drag and suppresses vortex shedding in the wake. However, this unique cylinder design has not yet been applied to wind power technologies. Therefore, this study applies this concept to the design of downwind wind turbines and employs wind tunnel testing to compare the wake flow characteristics of a single-cylinder model while also investigating the output power and wake performance of the model wind turbine. Herein, we demonstrate that in the single-cylinder test, the bionic case shows reduced turbulence intensity in its wake compared to that observed with the circular cylinder case. The difference in the energy distribution in the frequency domain behind the cylinder was mainly manifested in the near-wake region. Moreover, our findings indicate that differences in power coefficient are predominantly noticeable with high tip speed ratios. Furthermore, as output power increases, this bionic cylindrical structure induces greater velocity deficit and higher turbulence intensity behind the rotor. These results provide valuable insights for optimizing aerodynamic designs of wind turbines towards achieving enhanced efficiency for converting wind energy. Full article
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