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17 pages, 3303 KiB

Open AccessArticle

Research on the Design Method of Camellia oleifera Fruit Picking Machine

by Shan Hu, Jing Xin, Dong Zhang and Geqi Xing

Appl. Sci. 2024, 14(18), 8537; https://doi.org/10.3390/app14188537 (registering DOI) - 23 Sep 2024

Camellia oleifera fruit pickers are essential for improving picking efficiency and promoting the Camellia oleifera industry. However, it is challenging to develop pickers that meet user needs. Current design tools and methods have limitations, such as a single model, poor synergy between integrated [...] Read more.

Camellia oleifera fruit pickers are essential for improving picking efficiency and promoting the Camellia oleifera industry. However, it is challenging to develop pickers that meet user needs. Current design tools and methods have limitations, such as a single model, poor synergy between integrated models, and subjective bias when analysing user requirements and translating them into product attributes. To solve these problems, this study proposes a new design decision model based on the Fuzzy Analytic Hierarchy Process (FAHP), Function Analysis System Technique (FAST), Theory of Inventive Problem Solving (TRIZ Theory), and extension transformation theory. The model was developed and applied to design an Camellia oleifera fruit picker. In this paper, an empirical investigation of an Camellia oleifera base in Wuhan was carried out, and multi-level demand analysis was used to identify the design demands in the behavioural process; FAHP was used to calculate the demand weights to clarify the design focus; expert knowledge was used to convert the demands into specific product functional features, and FAST was used to decompose these features to find the contradictory conflicts; TRIZ theory was used to determine the principles of resolving the contradictions, and the extension transformation theory were used to generate the creative design solutions for the products. By integrating FAHP, FAST, TRIZ theory and the extension transformation theory, the subjective bias in product design is eliminated, the design decision-making process is improved, and new methods and ideas are provided for the design of oleaginous tea fruit pickers and similar products. Finally, the conceptual design of an Camellia oleifera fruit picking machine was produced. However, the conceptual design has yet to be subjected to exhaustive simulation experiments and prototype testing. Future research will focus on conducting the necessary simulations, prototypes, and field tests to fully assess the feasibility and effectiveness of the design and make the required iterative improvements accordingly to commercialize the product eventually. Full article

(This article belongs to the Special Issue Practical Applications of New Optimization Methods and Intelligent Control)

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27 pages, 8062 KiB

Open AccessArticle

Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM

by Shuangshuang Xiao, Jin Liu, Yajie Ma and Yonggui Zhang

Appl. Sci. 2024, 14(18), 8538; https://doi.org/10.3390/app14188538 (registering DOI) - 23 Sep 2024

Abstract

Accurate prediction of dust concentration is essential for effectively preventing and controlling mine dust. The environment of opencast mines is intricate, with numerous factors influencing dust concentration, making accurate predictions challenging. To enhance the prediction accuracy of dust concentration in these mines, a [...] Read more.

Accurate prediction of dust concentration is essential for effectively preventing and controlling mine dust. The environment of opencast mines is intricate, with numerous factors influencing dust concentration, making accurate predictions challenging. To enhance the prediction accuracy of dust concentration in these mines, a combined prediction algorithm utilizing RF-GA-LSSVM is developed. Initially, the random forest (RF) algorithm is employed to identify key features from the meteorological and dust concentration data collected on site, ultimately selecting five indicators—temperature, humidity, stripping amount, wind direction, and wind speed—as the input variables for the prediction model. Next, the data are split into a training set and a test set at a 7:3 ratio, and the genetic algorithm (GA) is applied to optimize the least squares support vector machine (LSSVM) model for predicting dust concentration in opencast mines. Additionally, model evaluation metrics and testing methods are established. Compared with LSSVM, PSO-LSSVM, ISSA-LSSVM, GWO-LSSVM, and other prediction models, the GA-LSSVM model demonstrates a final fitting degree of 0.872 for PM2.5 concentration data and 0.913 for PM10 concentration data. The GA-LSSVM model clearly demonstrates a strong predictive performance with low error and high fitting. The research results can serve as a foundation for developing dust control measures in opencast mines. Full article

(This article belongs to the Section Ecology Science and Engineering)

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13 pages, 8918 KiB

Open AccessArticle

Effect of SiC Contents on Wear Resistance Performance of Electro-Codeposited Ni-SiC Composite Coatings

by Shaoqing Wang, Faqin Xie and Xiangqing Wu

Coatings 2024, 14(9), 1224; https://doi.org/10.3390/coatings14091224 (registering DOI) - 23 Sep 2024

Abstract

This paper focuses on the wear resistance performance of Ni-SiC composite coatings with various contents of SiC particles. The coatings were characterized via a scanning electron microscope (SEM), X-ray diffractometer (XRD), and transmission electron microscopy (TEM), and the wear behaviors of different coatings [...] Read more.

This paper focuses on the wear resistance performance of Ni-SiC composite coatings with various contents of SiC particles. The coatings were characterized via a scanning electron microscope (SEM), X-ray diffractometer (XRD), and transmission electron microscopy (TEM), and the wear behaviors of different coatings were tested. The results show that SiC particle incorporation results in a nanocrystalline metal matrix and nanotwins in nickel nanograins. The microhardness and wear resistance Ni-SiC composite coatings increased with the increasing SiC content. Microhardness was improved due to the grain-refinement strengthening effect and the presence of a nanotwin structure. The dominant wear mechanism was described in two stages: the first stage involves the interaction of SiC particles/the counter ball, and the second stage involves the formation of the oxide film its breaking up into wear debris. A higher SiC content increased the duration of the first stage and slowed down the rate of breaking up into debris, thereby decreasing the wear rate. Full article

(This article belongs to the Section Tribology)

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21 pages, 8044 KiB

Open AccessArticle

Multi-Trajectory Planning Control Strategy for Hydropower Plant Bridge Crane Based on Evaluation Algorithm

by Tiehua Chen, Ming Xu, Guangxin Wu, Shihao Dong and Xinze Liu

Electronics 2024, 13(18), 3770; https://doi.org/10.3390/electronics13183770 (registering DOI) - 23 Sep 2024

Abstract

Currently, the research on crane trajectory planning mostly aims to, first, plan the trajectories of the crane and the trolley, and then to use a trial-and-error method or optimization algorithm to iteratively calculate the optimal trajectory parameters under the control of the optimal [...] Read more.

Currently, the research on crane trajectory planning mostly aims to, first, plan the trajectories of the crane and the trolley, and then to use a trial-and-error method or optimization algorithm to iteratively calculate the optimal trajectory parameters under the control of the optimal trajectory parameters to achieve the suppression of the swing angle. However, research on the fusion application of multi-trajectory planning algorithms is very rare. In addition, the existing methods are not suitable for the special operation control of hydropower plant bridge cranes. Based on the application scenario of hydropower plant bridge cranes, this paper proposes a comprehensive multi-trajectory control strategy based on the entropy weight technique for order preference, similarly to the ideal solution (TOPSIS) evaluation method. Specifically, the kinematic analysis of the crane is carried out and the trajectory evaluation index system is established. Secondly, under the walking constraint condition, four different trajectory planning algorithms are used to obtain the crane trajectory curve. In order to ensure the accuracy and comprehensiveness of the evaluation, the evaluation data are obtained through the Adams motion simulation platform. Finally, based on the entropy weight TOPSIS evaluation method, the optimal walking trajectory for each displacement is selected. The simulation and experimental results show that the evaluation method can select the optimal trajectory based on the motion characteristics of the trajectory algorithm in different displacement conditions, effectively reducing the load swing during the walking process of the crane and improving the positioning accuracy. Full article

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15 pages, 375 KiB

Open AccessArticle

Comparative Discourse Strategies in Environmental Advocacy: Analysing the Rhetoric of Greta Thunberg and Chris Packham

by Douglas Mark Ponton and Anna Raimo

Languages 2024, 9(9), 307; https://doi.org/10.3390/languages9090307 (registering DOI) - 23 Sep 2024

Abstract

This paper examines the rhetoric and argumentation of two prominent environmental activists, Greta Thunberg and Chris Packham. From the perspective of Ecolinguistics, Thunberg has given voice to a generational movement for change, galvanising young people everywhere through high-profile protests and speeches. Packham represents [...] Read more.

This paper examines the rhetoric and argumentation of two prominent environmental activists, Greta Thunberg and Chris Packham. From the perspective of Ecolinguistics, Thunberg has given voice to a generational movement for change, galvanising young people everywhere through high-profile protests and speeches. Packham represents British mainstream environmentalism, notably as the presenter of the acclaimed nature documentary ‘Springwatch’. We argue that their influence partially stems from their alignment with dominant cultural narratives: Thunberg’s emphasis on intergenerational discord and Packham’s connection to the natural world. We analyse both figures via the lens of the ‘emotionalisation of media discourse’, highlighting argumentation strategies that feature expressions of negative emotions of which anger is a type. Thunberg’s famous ‘How dare you?’ outburst at the 2019 UN Climate Action Summit and Packham’s statement to Novara Media, ‘I am more angry now than at any point since my 20s’, exemplify this trend. We explore the pragmatic implications of their argumentative and discursive strategies, suggesting that while both have significantly elevated the profile of ecological activism, their discourse may also have a potentially divisive aspect. Full article

(This article belongs to the Special Issue Current Trends in Ecolinguistics)

24 pages, 1052 KiB

Open AccessArticle

German Noun Plurals in Simultaneous Bilingual vs. Successive Bilingual vs. Monolingual Kindergarten Children: The Role of Linguistic and Extralinguistic Variables

by Katharina Korecky-Kröll, Marina Camber, Kumru Uzunkaya-Sharma and Wolfgang U. Dressler

Languages 2024, 9(9), 306; https://doi.org/10.3390/languages9090306 (registering DOI) - 23 Sep 2024

Abstract

(1) Background: The complex phenomenon of German noun plural inflection is investigated in three groups of German-speaking kindergarten children: (a) monolinguals (1L1), (b) simultaneous bilinguals (2L1) also acquiring Croatian, and (c) successive bilinguals (L2) acquiring Turkish as L1. Predictions of the usage-based schema [...] Read more.

(1) Background: The complex phenomenon of German noun plural inflection is investigated in three groups of German-speaking kindergarten children: (a) monolinguals (1L1), (b) simultaneous bilinguals (2L1) also acquiring Croatian, and (c) successive bilinguals (L2) acquiring Turkish as L1. Predictions of the usage-based schema model and of Natural Morphology concerning different linguistic variables are used to explore their impact on plural acquisition in the three groups of children. (2) Methods: A longitudinal study (from mean age 3;1 to 4;8) is conducted using two procedures (a formal plural test and spontaneous recordings in kindergarten), and the data are analyzed using generalized linear (mixed-effects) regression models in R. (3) Results: All children produce more errors in the metalinguistically challenging test compared to spontaneous speech, with L2 children being particularly disadvantaged. Socioeconomic status (henceforth SES) and teachers’ plural type frequency are most relevant for 1L1 children, and kindergarten exposure is more relevant for L2 children, while the linguistic variables are more important for 2L1 children. (4) Conclusions: The main predictions of the schema model and of Natural Morphology are largely confirmed. All of the linguistic variables investigated show significant effects in some analyses, but morphotactic transparency turns out to be the most relevant variable for all three groups of children. Full article

(This article belongs to the Special Issue Research Methods for Exploring the Role of Input in Child Bilingual Development)

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16 pages, 5075 KiB

Open AccessArticle

A Computationally Time-Efficient Method for Implementing Pressure Load to FE Models with Lagrangian Elements

by Adnan Shahriar, Arsalan Majlesi and Arturo Montoya

Eng 2024, 5(3), 2379-2394; https://doi.org/10.3390/eng5030124 (registering DOI) - 22 Sep 2024

Abstract

A computationally time-efficient method is introduced to implement pressure load to a Finite element model. Hexahedron elements of the Lagrangian family with Gauss–Lobatto nodes and integration quadrature are utilized, where the integration points follow the same sequence as the nodes. This method calculates [...] Read more.

A computationally time-efficient method is introduced to implement pressure load to a Finite element model. Hexahedron elements of the Lagrangian family with Gauss–Lobatto nodes and integration quadrature are utilized, where the integration points follow the same sequence as the nodes. This method calculates the equivalent nodal force due to pressure load using a single Hadamard multiplication. The arithmetic operations of this method are determined, which affirms its computational efficiency. Finally, the method is tested with finite element implementation and observed to increase the runtime ratio compared to the conventional method by over 20 times. This method can benefit the implementation of finite element models in fields where computational time is crucial, such as real-time and cyber–physical testbed implementation. Full article

(This article belongs to the Special Issue Feature Papers in Eng 2024)

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14 pages, 858 KiB

Open AccessArticle

Single Center-Based Real-World Experience on Anti-IL 1 Biological Response Modifiers: A Case Series and Literature Review

by Olcay Y. Jones

Children 2024, 11(9), 1146; https://doi.org/10.3390/children11091146 (registering DOI) - 22 Sep 2024

Abstract

Background: This communication summarizes our single-center experience with the use of anti-IL-1 biologic response modifiers for treating autoimmune and autoinflammatory conditions in children. Methods: We outline our rationale for the off-label use of anakinra and discuss emerging treatment paradigms that necessitate further research [...] Read more.

Background: This communication summarizes our single-center experience with the use of anti-IL-1 biologic response modifiers for treating autoimmune and autoinflammatory conditions in children. Methods: We outline our rationale for the off-label use of anakinra and discuss emerging treatment paradigms that necessitate further research and validation. Results: Anakinra has enabled personalized treatment, whether used as a single agent on an as-needed basis, as part of a background treatment regimen, or in combination with colchicine. Our data also highlight the significance of anakinra in treating post-infectious inflammatory diseases, demonstrating its high efficacy in novel applications such as rheumatic fever and post-viral arthritis. Canakinumab, on the other hand, has provided long-term remission. Both medications were well-tolerated, with no serious adverse effects reported. Conclusions: Based on our observations and successful outcomes, we advocate for future collaborative efforts to improve access to anti-IL-1 medications to better manage excessive and harmful inflammation in children. Full article

(This article belongs to the Special Issue Diagnosis, Treatment and Care of Pediatric Rheumatology)

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10 pages, 1721 KiB

Open AccessArticle

Aggressive and Autoaggressive Behaviors in Patients with Autism Spectrum Disorder in Correlation with Middle Cerebral Artery Flow Velocity

by Maciej Abakumow, Maciej Przybylski, Mariusz Słoma, Olga Markowska, Katarzyna Sowa, Przemysław Jaśkiewicz and Krzysztof Kowalczuk

J. Pers. Med. 2024, 14(9), 1010; https://doi.org/10.3390/jpm14091010 (registering DOI) - 22 Sep 2024

Abstract

Background/Objectives The purpose of this study was to see whether there is a correlation between the behavior of autism spectrum disorder patients and brain abnormalities based on the velocity of blood flow in the MCA (middle cerebral artery). Methods: The use [...] Read more.

Background/Objectives The purpose of this study was to see whether there is a correlation between the behavior of autism spectrum disorder patients and brain abnormalities based on the velocity of blood flow in the MCA (middle cerebral artery). Methods: The use of HAP (High Altitude Protection) suits, which are used in aviation, to treat patients with ASD (autism spectrum disorder) causes significant changes in their functioning and physiological processes. These changes are not only noted in psychological tests but are observed in cerebral blood flow using transcranial Doppler ultrasound of the MCA. Results The results of this study made it possible to distinguish two groups with different flow velocities, which can be characterized as flows of less than 80 cm/s and flows of more than 80 cm/s. In addition, it was shown that in patients with elevated blood flow velocity, aggressive behaviors account for 86.96%, while self-aggressive behaviors account for 65.2%. On the other hand, in the case of patients with reduced flow velocity, i.e., less than 80 cm/s, the rate of aggressive behavior is 20% and that of self-aggressive behavior is 50%. The experiment showed that after therapy, there is a normalization of blood flow, which increased in the case of patients with a reduced flow rate below 80 cm/s and, in the case of elevated blood velocity after therapy, decreased towards normal levels. Conclusions The observed rate of normalization of flow velocities in the MCA translated into significant changes in the behavior and functioning of patients in the neurotypical direction, which was noticeable in the psychological tests conducted. Full article

(This article belongs to the Special Issue Personalized Medicine for Autism Spectrum Disorder)

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12 pages, 2749 KiB

Open AccessArticle

Comparison of Fracture Strength of Milled and 3D-Printed Crown Materials According to Occlusal Thickness

by Yeseul Park, Jimin Kim, You-Jung Kang, Eun-Young Shim and Jee-Hwan Kim

Materials 2024, 17(18), 4645; https://doi.org/10.3390/ma17184645 (registering DOI) - 22 Sep 2024

Abstract

This study aimed to measure the fracture strengths and hardness of final restorative milled and 3D-printed materials and evaluate the appropriate crown thickness for their clinical use for permanent prosthesis. One type of milled material (group M) and two types of 3D-printed materials [...] Read more.

This study aimed to measure the fracture strengths and hardness of final restorative milled and 3D-printed materials and evaluate the appropriate crown thickness for their clinical use for permanent prosthesis. One type of milled material (group M) and two types of 3D-printed materials (groups P1 and P2) were used. Their crown thickness was set to 0.5, 1.0, and 1.5 mm for each group, and the fracture strength was measured. Vickers hardness was measured and analyzed to confirm the hardness of each material. Scanning electron microscopy was taken to observe the surface changes of the 3D-printed materials under loads of 900 and 1500 N. With increased thickness, the fracture strength significantly increased for group M but significantly decreased for group P1. For group P2, the fracture strengths for the thicknesses of 0.5 mm and 1.5 mm significantly differed, but that for 1.0 mm did not differ from those for other thicknesses. The hardness of group M was significantly higher than that of groups P1 and P2. For all thicknesses, the fracture strength was higher than the average occlusal force for all materials; however, an appropriate crown thickness is required depending on the material and component. Full article

(This article belongs to the Special Issue Advances in New Alloys, Polymers and Composites for Biomedical Applications)

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23 pages, 8494 KiB

Open AccessReview

Advances in Group-10 Transition Metal Dichalcogenide PdSe₂-Based Photodetectors: Outlook and Perspectives

by Tawsif Ibne Alam, Kunxuan Liu, Sumaiya Umme Hani, Safayet Ahmed and Yuen Hong Tsang

Sensors 2024, 24(18), 6127; https://doi.org/10.3390/s24186127 (registering DOI) - 22 Sep 2024

Abstract

The recent advancements in low-dimensional material-based photodetectors have provided valuable insights into the fundamental properties of these materials, the design of their device architectures, and the strategic engineering approaches that have facilitated their remarkable progress. This review work consolidates and provides a comprehensive [...] Read more.

The recent advancements in low-dimensional material-based photodetectors have provided valuable insights into the fundamental properties of these materials, the design of their device architectures, and the strategic engineering approaches that have facilitated their remarkable progress. This review work consolidates and provides a comprehensive review of the recent progress in group-10 two-dimensional (2D) palladium diselenide (PdSe₂)-based photodetectors. This work first offers a general overview of the various types of PdSe₂ photodetectors, including their operating mechanisms and key performance metrics. A detailed examination is then conducted on the physical properties of 2D PdSe₂ material and how these metrics, such as structural characteristics, optical anisotropy, carrier mobility, and bandgap, influence photodetector device performance and potential avenues for enhancement. Furthermore, the study delves into the current methods for synthesizing PdSe₂ material and constructing the corresponding photodetector devices. The documented device performances and application prospects are thoroughly discussed. Finally, this review speculates on the existing trends and future research opportunities in the field of 2D PdSe₂ photodetectors. Potential directions for continued advancement of these optoelectronic devices are proposed and forecasted. Full article

(This article belongs to the Special Issue Feature Papers in Optical Sensors 2024)

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15 pages, 4204 KiB

Open AccessArticle

Drivers of Pinus halepensis Plant Community Structure across a Post-Fire Chronosequence

by Dimitris Kazanis, Sofie Spatharis, Giorgos D. Kokkoris, Panayiotis G. Dimitrakopoulos and Margarita Arianoutsou

Fire 2024, 7(9), 331; https://doi.org/10.3390/fire7090331 (registering DOI) - 22 Sep 2024

Abstract

The Pinus halepensis (Aleppo pine) forests prevailing in the western part of the Mediterranean Basin are amongst the most severely affected by fire due to their inherent flammability. Our understanding of the environmental factors driving post-fire community dynamics is currently limited by the [...] Read more.

The Pinus halepensis (Aleppo pine) forests prevailing in the western part of the Mediterranean Basin are amongst the most severely affected by fire due to their inherent flammability. Our understanding of the environmental factors driving post-fire community dynamics is currently limited by the lack of time-series data at temporal scales. In this present study, we analyzed a chronosequence of Greek Aleppo pine forests spanning a post-fire period of 65 years. Our goal is to explore the role of post-fire age, altitude, exposure, slope level, parent-rock material, rock cover, and cover of evergreen sclerophyllous shrubs (maquis) on plant assemblage diversity (species richness and Menhinick’s diversity index) and composition. Post-fire age had a significant effect on taxonomic distinctness and community turnover but not on species richness. Taxonomic distinctness increased with post-fire age due to a higher prevalence of the families Fabaceae, Asteraceae, and Poaceae during the early post-fire period. Maquis cover was significantly associated with Menhinick’s diversity index, taxonomic distinctness, and community turnover. Exposure and slope influenced only Menhinick’s diversity index. The turnover in species composition was primarily driven by the geographical proximity of the forests and secondarily by post-fire age and the maquis cover. This highlights the importance of the initial floristic composition in the process of autosuccession after a fire in Mediterranean-climate ecosystems. Full article

(This article belongs to the Special Issue Effects of Fires on Forest Ecosystems)

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14 pages, 2300 KiB

Open AccessArticle

Glioblastoma Multiforme: Sensitivity to Antimicrobial Peptides LL-37 and PG-1, and Their Combination with Chemotherapy for Predicting the Overall Survival of Patients

by Alexander N. Chernov, Sofia S. Skliar, Alexander V. Kim, Anna Tsapieva, Sarng S. Pyurveev, Tatiana A. Filatenkova, Marina V. Matsko, Sergey D. Ivanov, Olga V. Shamova and Alexander N. Suvorov

Pharmaceutics 2024, 16(9), 1234; https://doi.org/10.3390/pharmaceutics16091234 (registering DOI) - 22 Sep 2024

Abstract

Background/Objectives: Glioblastomas (GBMs) are the most malignant and intractable of all cancers, with an unfavorable clinical prognosis for affected patients. The objective was to analyze the sensitivity of GBM cells to the antimicrobial peptides (AMPs) cathelicidin (LL-37) and protegrin-1 (PG-1), both alone and [...] Read more.

Background/Objectives: Glioblastomas (GBMs) are the most malignant and intractable of all cancers, with an unfavorable clinical prognosis for affected patients. The objective was to analyze the sensitivity of GBM cells to the antimicrobial peptides (AMPs) cathelicidin (LL-37) and protegrin-1 (PG-1), both alone and in combination with chemotherapy, to predict overall survival (OS) in the patients. Methods: The study was conducted on 27 GBM patients treated in the neurosurgical department of the Almazov Medical Research Centre (Saint Petersburg, Russia) from 2021 to 2024. The cytotoxic effects of chemotherapy, AMPs, and their combinations on brain tumor cells were assessed by an MTT assay using a 50% inhibitory concentration (IC₅₀). Results: In GBM cells from the patients, LL-37 and PG-1 exhibited strong anticancer effects, surpassing those of chemotherapy drugs. These LL-37 and PG-1 anticancer effects were associated with a statistically significant increase in life expectancy and OS in GBM patients. These findings were confirmed by experiments on rats with C6 glioma, where the intranasal administration of LL-37 (300 μM) and PG-1 (600 μM) increased the life expectancy of the animals to 69 and 55 days, respectively, compared to 24 days in the control group (HR = 4.139, p = 0.0005; HR = 2.542, p = 0.0759). Conclusions: Additionally, the combination of LL-37 and PG-1 with chemotherapy drugs showed that a high IC₅₀ of LL-37 with cisplatin (cutoff > 800 μM) in GBM cells was associated with increased life expectancy (19 vs. 5 months, HR = 4.708, p = 0.0101) and OS in GBM patients. These combinations could be used in future GBM treatments. Full article

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54 pages, 1414 KiB

Open AccessReview

Bladder Cancer Basic Study and Current Clinical Trials

by Dominik Godlewski, Sara Czech, Dorota Bartusik-Aebisher and David Aebisher

Uro 2024, 4(3), 145-198; https://doi.org/10.3390/uro4030012 (registering DOI) - 22 Sep 2024

Abstract

Bladder cancer (BCa) is the fourth most common cancer in men and one of the most common urinary tract cancers, especially in developed countries. The aim of this paper is to comprehensively analyze the biology of bladder cancer, including its epidemiology, etiology, histological [...] Read more.

Bladder cancer (BCa) is the fourth most common cancer in men and one of the most common urinary tract cancers, especially in developed countries. The aim of this paper is to comprehensively analyze the biology of bladder cancer, including its epidemiology, etiology, histological types, risk factors, clinical symptoms, and diagnostic methods. The paper presents the dominant histological types of bladder cancer, such as transitional cell carcinoma (TCC), which accounts for 90–95% of cases, squamous cell carcinoma (SCC), and adenocarcinoma, which is much rarer. Risk factors, such as smoking, occupational exposure to chemicals, schistosomiasis, and genetic factors, which significantly affect the pathogenesis of bladder cancer, are also discussed. The paper focuses on modern diagnostic methods, including blue light cystoscopy (BLC) and computed tomography urography (CTU), which show increased sensitivity and specificity in detecting early neoplastic changes. The importance of TNM classification and the role of neoadjuvant chemotherapy in improving patient prognosis are also discussed. Based on a review of the scientific literature, the paper emphasizes the need for early diagnosis and an individualized therapeutic approach, which may contribute to improving the survival and quality of life of patients with bladder cancer. The potential for prevention, including quitting smoking and limiting exposure to harmful chemicals, has also been demonstrated to significantly reduce the risk of disease. Patient education and monitoring high-risk groups are key to reducing the incidence of bladder cancer. Full article

28 pages, 1094 KiB

Open AccessArticle

Efficient Convolutional Neural Networks Utilizing Fine-Grained Fast Fourier Transforms

by Yulin Zhang, Feipeng Li, Haoke Xu, Xiaoming Li and Shan Jiang

Electronics 2024, 13(18), 3765; https://doi.org/10.3390/electronics13183765 (registering DOI) - 22 Sep 2024

Abstract

Convolutional Neural Networks (CNNs) are among the most prevalent deep learning techniques employed across various domains. The computational complexity of CNNs is largely attributed to the convolution operations. These operations are computationally demanding and significantly impact overall model performance. Traditional CNN implementations convert [...] Read more.

Convolutional Neural Networks (CNNs) are among the most prevalent deep learning techniques employed across various domains. The computational complexity of CNNs is largely attributed to the convolution operations. These operations are computationally demanding and significantly impact overall model performance. Traditional CNN implementations convert convolutions into matrix operations via the im2col (image to column) technique, facilitating parallelization through advanced BLAS libraries. This study identifies and investigates a significant yet intricate pattern of data redundancy within the matrix-based representation of convolutions, a pattern that, while complex, presents opportunities for optimization. Through meticulous analysis of the redundancy inherent in the im2col approach, this paper introduces a mathematically succinct matrix representation for convolution, leading to the development of an optimized FFT-based convolution with finer FFT granularity. Benchmarking demonstrates that our approach achieves an average speedup of 14 times and a maximum speedup of 17 times compared to the regular FFT convolution. Similarly, it outperforms the Im2col+GEMM approach from NVIDIA’s cuDNN library, achieving an average speedup of three times and a maximum speedup of five times. Our FineGrained FFT convolution approach, when integrated into Caffe, a widely used deep learning framework, leads to significant performance gains. Evaluations using synthetic CNNs designed for real-world applications show an average speedup of 1.67 times. Furthermore, a modified VGG network variant achieves a speedup of 1.25 times. Full article

(This article belongs to the Topic Advances in Integrative AI, Machine Learning, and Big Data for Transformative Applications)

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13 pages, 12546 KiB

Open AccessArticle

Effect of Initial Intergranular Ferrite Size on Induction Hardening Microstructure of Microalloyed Steel 38MnVS6

by Dequn Kong, Jian Zhou, Weiwei Dong, Li Cai and Chunyu Qu

Crystals 2024, 14(9), 827; https://doi.org/10.3390/cryst14090827 (registering DOI) - 22 Sep 2024

Abstract

In this study, we investigated the effect of grain size of an initial microstructure (pearlite+ferrite) on a resulting microstructure of induction-hardened microalloyed steel 38MnVS6, which is one topical medium carbon vanadium microalloyed non-quenched and tempered steel used in manufacturing crankshafts for high-power engines. [...] Read more.

In this study, we investigated the effect of grain size of an initial microstructure (pearlite+ferrite) on a resulting microstructure of induction-hardened microalloyed steel 38MnVS6, which is one topical medium carbon vanadium microalloyed non-quenched and tempered steel used in manufacturing crankshafts for high-power engines. The results show that a coarse initial microstructure could contribute to the incomplete transformation of pearlite+ferrite into austenite in reaustenitization transformation by rapid heating, and the undissolved ferrite remains and locates between the neighboring prior austenite grains after the induction-hardening process. As the coarseness level of the initial microstructure increases from 102 μm to 156 μm, the morphology of undissolved ferrite varies as granule, film, semi-network, and network, in sequence. The undissolved ferrite structures have a thickness of 250–500 nm and appear dark under an optical metallographic view field. To achieve better engineering applications, it is not recommended to eliminate the undissolved ferrite by increasing much heating time for samples with coarser initial microstructures. It is better to achieve a fine original microstructure before the induction-hardening process. For example, microalloying addition of vanadium and titanium plays a role of metallurgical grain refinement via intragranular ferrite nucleation on more sites, and the heating temperature and time of the forging process should be strictly controlled to ensure the existence of fine prior austenite grains before subsequent isothermal phase transformation to pearlite+ferrite. Full article

(This article belongs to the Section Crystalline Metals and Alloys)

14 pages, 962 KiB

Open AccessArticle

FTSNet: Fundus Tumor Segmentation Network on Multiple Scales Guided by Classification Results and Prompts

by Shurui Bai, Zhuo Deng, Jingyan Yang, Zheng Gong, Weihao Gao, Lei Shao, Fang Li, Wenbin Wei and Lan Ma

Bioengineering 2024, 11(9), 950; https://doi.org/10.3390/bioengineering11090950 (registering DOI) - 22 Sep 2024

Abstract

The segmentation of fundus tumors is critical for ophthalmic diagnosis and treatment, yet it presents unique challenges due to the variability in lesion size and shape. Our study introduces Fundus Tumor Segmentation Network (FTSNet), a novel segmentation network designed to address these challenges [...] Read more.

The segmentation of fundus tumors is critical for ophthalmic diagnosis and treatment, yet it presents unique challenges due to the variability in lesion size and shape. Our study introduces Fundus Tumor Segmentation Network (FTSNet), a novel segmentation network designed to address these challenges by leveraging classification results and prompt learning. Our key innovation is the multiscale feature extractor and the dynamic prompt head. Multiscale feature extractors are proficient in eliciting a spectrum of feature information from the original image across disparate scales. This proficiency is fundamental for deciphering the subtle details and patterns embedded in the image at multiple levels of granularity. Meanwhile, a dynamic prompt head is engineered to engender bespoke segmentation heads for each image, customizing the segmentation process to align with the distinctive attributes of the image under consideration. We also present the Fundus Tumor Segmentation (FTS) dataset, comprising 254 pairs of fundus images with tumor lesions and reference segmentations. Experiments demonstrate FTSNet’s superior performance over existing methods, achieving a mean Intersection over Union (mIoU) of 0.8254 and mean Dice (mDice) of 0.9042. The results highlight the potential of our approach in advancing the accuracy and efficiency of fundus tumor segmentation. Full article

(This article belongs to the Special Issue Diagnostic Biomedical Image and Processing with Artificial Intelligence and Deep Learning)

21 pages, 334 KiB

Open AccessReview

Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

by Jan Weichert and Jann Lennard Scharf

J. Clin. Med. 2024, 13(18), 5626; https://doi.org/10.3390/jcm13185626 (registering DOI) - 22 Sep 2024

Abstract

The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcomes. With recent advancements in artificial intelligence (AI) in general [...] Read more.

The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcomes. With recent advancements in artificial intelligence (AI) in general and medical imaging in particular, there has been growing interest in leveraging AI techniques to enhance the accuracy, efficiency, and clinical utility of fetal neurosonography. The paramount objective of this focusing review is to discuss the latest developments in AI applications in this field, focusing on image analysis, the automation of measurements, prediction models of neurodevelopmental outcomes, visualization techniques, and their integration into clinical routine. Full article

(This article belongs to the Special Issue Update on Prenatal Diagnosis and Maternal Fetal Medicine: 2nd Edition)

16 pages, 3867 KiB

Open AccessArticle

Modification of Sulfur Cake—Waste from Sulfuric Acid Production

by Yerdos Ongarbayev, Yerbol Tileuberdi, Aigul Baimagambetova, Yerzhan Imanbayev, Yernar Kanzharkan, Ainur Zhambolova, Aliya Kenzhegaliyeva and Aksaule Kydyrali

Processes 2024, 12(9), 2048; https://doi.org/10.3390/pr12092048 (registering DOI) - 22 Sep 2024

Abstract

In the production of sulfuric acid, sulfur cake—a waste product of the sulfur purification process—is formed in large quantities, which requires its disposal and use. For its use in composite materials, modification is necessary to convert sulfur into a polymer form. The aim [...] Read more.

In the production of sulfuric acid, sulfur cake—a waste product of the sulfur purification process—is formed in large quantities, which requires its disposal and use. For its use in composite materials, modification is necessary to convert sulfur into a polymer form. The aim of the study was to develop a method for modifying sulfur cake—a waste product of sulfuric acid production—for its disposal. Available reagents—styrene, glycerol, and oleic acid—were tested as modifiers in the work. The sample compositions consisted of 100% sulfur cake (no. 1) and its mixtures: 97% sulfur cake + 3% styrene (no. 2), 97% sulfur cake + 3% glycerol (no. 3), 97% sulfur cake + 3% oleic acid (no. 4), 95% sulfur cake + 3% styrene, 1% glycerol, and 1% oleic acid (no. 5). Modification of sulfur cake was carried out at a temperature of 140 °C for 30 min. The composition, crystal structure, and thermal properties of the samples of the original and modified sulfur cake were studied using X-ray phase and X-ray structural analyses, IR spectroscopy, differential scanning calorimetry, differential thermal and thermogravimetric analysis. The optimal modifier for sulfur cake was a mixture of styrene, glycerol, and oleic acid, which led to the formation of acetal (polyoxymethylene) and an improvement in the structure due to a decrease in the content of impurities. Modification of sulfur cake with styrene resulted in the appearance of a C_Ar–S bond band at 571 cm⁻¹, and modification with oleic acid a C–S band in the region of 694 cm⁻¹ in the IR spectra. The results of differential scanning calorimetric analysis showed an increase in the heat of fusion of sulfur by 12.45 J/g in the samples of sulfur cake modified with glycerol and styrene. Modification of sulfur cake with oleic acid and a mixture of reagents resulted in the appearance of a third peak with maxima at 244.2 and 264.0 °C, which demonstrated a significant effect of the indicated additives on the thermal behavior of the sulfur cake. Proposed schemes for modifying sulfur cake with styrene and oleic acid are presented. Full article

(This article belongs to the Special Issue Development and Utilization of Biomass, Coal and Organic Solid Wastes)

11 pages, 385 KiB

Open AccessReview

Impact of GLP-1 Receptor Agonists in Gastrointestinal Endoscopy: An Updated Review

by Sahib Singh, Saurabh Chandan, Dushyant Singh Dahiya, Ganesh Aswath, Daryl Ramai, Marcello Maida, Andrea Anderloni, Nicola Muscatiello and Antonio Facciorusso

J. Clin. Med. 2024, 13(18), 5627; https://doi.org/10.3390/jcm13185627 (registering DOI) - 22 Sep 2024

Abstract

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become one of the most popular medications for patients with diabetes and obesity. Due to their effects on gut motility via central or parasympathetic pathways, there have been concerns about an increased incidence of retained gastric [...] Read more.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become one of the most popular medications for patients with diabetes and obesity. Due to their effects on gut motility via central or parasympathetic pathways, there have been concerns about an increased incidence of retained gastric contents and risk of aspiration in the perioperative period. Hence, the American Society of Anesthesiologists (ASA) recommends holding GLP-1 RAs on the procedure day or a week before the elective procedure based on the respective daily or weekly formulations, regardless of the dose, indication (obesity or diabetes), or procedure type. On the contrary, the American Gastroenterological Association (AGA) advises an individualized approach, stating that more data are needed to decide if and when the GLP-1 RAs should be held prior to elective endoscopy. Several retrospective and prospective studies, along with meta-analyses, have been published since then evaluating the role of GLP-1 RAs in patients scheduled for endoscopic procedures. In this review, we discuss the current clinical guidelines and available studies regarding the effect of GLP-1 RAs on GI endoscopies. Full article

(This article belongs to the Special Issue Clinical Advances in Endoscopic Ultrasound-Guided Diagnosis and Treatment)

14 pages, 1290 KiB

Open AccessArticle

A Novel Nano-Spherical Tip for Improving Precision in Elastic Modulus Measurements of Polymer Materials via Atomic Force Microscopy

by Tianyu Fu, Paul C. Uzoma, Xiaolei Ding, Pengyuan Wu, Oleksiy Penkov and Huan Hu

Micromachines 2024, 15(9), 1175; https://doi.org/10.3390/mi15091175 (registering DOI) - 22 Sep 2024

Abstract

Micro-nano-scale mechanical properties are vital for engineering and biological materials. The elastic modulus is generally measured by processing the force–indentation curves obtained by atomic force microscopy (AFM). However, the measurement precision is largely affected by tip shape, tip wear, sample morphology, and the [...] Read more.

Micro-nano-scale mechanical properties are vital for engineering and biological materials. The elastic modulus is generally measured by processing the force–indentation curves obtained by atomic force microscopy (AFM). However, the measurement precision is largely affected by tip shape, tip wear, sample morphology, and the contact model. In such research, it has been found that the radius of the sharp tip increases due to wear during contact scanning, affecting elastic modulus calculations. For flat-ended tips, it is difficult to identify the contact condition, leading to inaccurate results. Our research team has invented a nano-spherical tip, obtained by implanting focused helium ions into a silicon microcantilever, causing it to expand into a silicon nanosphere. This nano-spherical tip has the advantages of sub-micro size and a smooth spherical surface. Comparative tests of the elastic modulus measurement were conducted on polytetrafluoroethylene (PTFE) and polypropylene (PP) using these three tips. Overall, the experimental results show that our nano-spherical tip with a consistent tip radius, symmetrical geometric shape, and resistance to wear and contamination can improve precision in elastic modulus measurements of polymer materials. Full article

(This article belongs to the Special Issue Micro/Nanostructures in Sensors and Actuators, 2nd Edition)

37 pages, 988 KiB

Open AccessArticle

The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-Differences Models and Double Machine Learning

by Ruiyu Hu, Zemenghong Bao, Zhisen Lin and Kun Lv

Sustainability 2024, 16(18), 8251; https://doi.org/10.3390/su16188251 (registering DOI) - 22 Sep 2024

Abstract

Based on the theory of regional innovation niches, this study calculates the resilience of regional innovation ecosystems and constructs a comprehensive evaluation index system for regional artificial intelligence development, resulting in a panel dataset for 30 provinces in China from 2009 to 2021 [...] Read more.

Based on the theory of regional innovation niches, this study calculates the resilience of regional innovation ecosystems and constructs a comprehensive evaluation index system for regional artificial intelligence development, resulting in a panel dataset for 30 provinces in China from 2009 to 2021 (excluding Tibet, Hong Kong, Macao, and Taiwan). Within the framework of the construction of innovative provinces, regional artificial intelligence, and the resilience of regional innovation ecosystems, spatial double-difference and double machine learning models are employed for a quasi-natural experiment. The main research conclusions are as follows: (1) Both the construction of innovative provinces and artificial intelligence have a significant positive impact on the resilience of regional innovation ecosystems. (2) However, regional artificial intelligence exhibits a negative spatial spillover effect on the resilience of regional innovation ecosystems. (3) The construction of innovative provinces can positively moderate the effect of artificial intelligence on the resilience of regional innovation ecosystems. (4) Through the promotion of regional artificial intelligence, the construction of innovative provinces can indirectly enhance the diversity, evolutionary potential, buffering capacity, fluidity, and coordination of regional innovation ecosystems, thereby driving a leap in resilience. (5) The mechanisms by which the construction of innovative provinces stimulates regional intelligent input, application, innovation, and market dynamics to further enhance the resilience of regional innovation ecosystems are effective not only in the treatment group but also in the control group. Full article

(This article belongs to the Special Issue Sustainable Transformation of Urban and Region: Design, Planning and Governance)

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28 pages, 5807 KiB

Open AccessArticle

Unveiling the Nutritional Profile and Safety of Coffee Pulp as a First Step in Its Valorization Strategy

by Alicia Gil-Ramírez, Miguel Rebollo-Hernanz, Silvia Cañas, Ignacio Monedero Cobeta, Pilar Rodríguez-Rodríguez, Andrea Gila-Díaz, Vanesa Benítez, Silvia M. Arribas, Yolanda Aguilera and María A. Martín-Cabrejas

Foods 2024, 13(18), 3006; https://doi.org/10.3390/foods13183006 (registering DOI) - 22 Sep 2024

Abstract

The coffee pulp, a significant by-product of coffee processing, is often discarded but has potential for recycling and high-value uses. This study aimed to investigate the chemical composition of two coffee pulp ingredients, a flour (CPF) and an aqueous extract (CPE), and conducted [...] Read more.

The coffee pulp, a significant by-product of coffee processing, is often discarded but has potential for recycling and high-value uses. This study aimed to investigate the chemical composition of two coffee pulp ingredients, a flour (CPF) and an aqueous extract (CPE), and conducted acute and sub-chronic toxicity assays to determine their safety. The proximate composition revealed the high fiber content of both ingredients; the CPF mainly contained insoluble fiber, while CPE consisted exclusively of soluble pectic polysaccharides. The CPF had higher concentrations of amino acids and a better balance of essential/non-essential amino acids, whereas the CPE exhibited higher concentrations of free amino acids, ensuring higher bioavailability. Both ingredients showed elevated mineral content, while heavy-metal concentrations remained within acceptable limits. This study established the bioactive potential of the CPF and the CPE, demonstrating the high content of caffeine and gallic, protocatechuic, and 4-caffeoylquinic acids. The toxicity studies revealed that the CPF and the CPE exhibited safety when orally administered to mice. Administered doses were non-toxic, as they did not induce lethality or adverse effects in the mice or produce significant histopathological or biochemical adverse changes. This study represents a first step in valorizing the CPF and the CPE as safe novel food ingredients with health benefits for functional and nutritional foods. Full article

(This article belongs to the Special Issue Coffee and Coffee-Related Product Characterization through Rapid Analytical Methodologies and Downscaled Systems)

11 pages, 427 KiB

Open AccessArticle

Thoracic Fluid Content as an Indicator of High Intravenous Diuretic Requirements in Hospitalized Patients with Decompensated Heart Failure

by Agata Galas, Paweł Krzesiński, Małgorzata Banak and Grzegorz Gielerak

J. Clin. Med. 2024, 13(18), 5625; https://doi.org/10.3390/jcm13185625 (registering DOI) - 22 Sep 2024

Abstract

Background: The main cause of hospitalization in patients with heart failure is hypervolemia. Therefore, the primary treatment strategy involves diuretic therapy using intravenous loop diuretics to achieve decongestion and euvolemia. Some patients with acutely decompensated heart failure (ADHF) do not respond well to [...] Read more.

Background: The main cause of hospitalization in patients with heart failure is hypervolemia. Therefore, the primary treatment strategy involves diuretic therapy using intravenous loop diuretics to achieve decongestion and euvolemia. Some patients with acutely decompensated heart failure (ADHF) do not respond well to diuretic treatment, which may be due to diuretic resistance (DR). Such cases require high doses of diuretic medications and combination therapy with diuretics of different mechanisms of action. Although certain predisposing factors for diuretic resistance have been identified (such as hypotension, type 2 diabetes, impaired renal function, and hyponatremia), further research is needed to identify other pathophysiological markers of DR. Objective: This study aims to identify admission markers that can predict a high requirement for intravenous diuretics in hospitalized patients with decompensated heart failure. Methods: This study included 102 adult patients hospitalized for ADHF. At admission, patients underwent clinical assessment, laboratory parameter evaluation (including the N-terminal prohormone of brain natriuretic peptide [NT-proBNP] levels), and hemodynamic assessment using impedance cardiography (ICG). Hemodynamic profiles were based on the use of parameters such as heart rate (HR), blood pressure (BP), and thoracic fluid content (TFC) as markers of volume status. The analysis included 97 patients with documented doses of intravenous diuretic use. Patients were stratified into two groups based on median diuretic consumption (equivalent to 540 mg of intravenous furosemide): the high-loop diuretic utilization (LDU) group (n = 49) and the low-LDU group (n = 48). Results: Compared to low-LDU patients, high-LDU patients had greater thoracic fluid content at admission, both quantitatively (37.4 ± 8.1 vs. 34.1 ± 6.9 kOhm-1; p = 0.024) and qualitatively (TFC ≥ 35 kOhm-1: 59.2% vs. 33.3%; p = 0.011). Anemia was more common in the high-LDU group (67.4% vs. 43.8%; p = 0.019), as was elevated NT-proBNP (≥median of 3952 pg/mL: 60.4% vs. 37.5%; p = 0.024). High LDU was associated with a significantly longer hospitalization duration (12.9 ± 6.4 vs. 7.0 ± 2.6 days; p < 0.001). Logistic regression analysis identified anemia, elevated NT-proBNP, and high TFC as predictors of high LDU (HR: 2.65, 2.54, and 2.90, respectively). In a multifactorial model, only high TFC remained an independent predictor (HR: 2.60, 95% CI 1.04–6.49; p = 0.038). Conclusions: TFC was the sole independent admission marker of a high requirement for intravenous diuretics in patients hospitalized for decompensated heart failure. An objective assessment of volume status by impedance cardiography may support intensive personalized decongestion therapy. Full article

(This article belongs to the Special Issue Advancements in Heart Failure Management: From Precision Medicine to Therapeutic Innovations)

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