The 2023 MDPI Annual Report has
been released!
 
22 pages, 2070 KiB  
Article
Improved Galaxy Morphology Classification with Convolutional Neural Networks
by Raul Urechiatu and Marc Frincu
Universe 2024, 10(6), 230; https://doi.org/10.3390/universe10060230 (registering DOI) - 21 May 2024
Abstract
The increased volume of images and galaxies surveyed by recent and upcoming projects consolidates the need for accurate and scalable automated AI-driven classification methods. This paper proposes a new algorithm based on a custom neural network architecture for classifying galaxies from deep space [...] Read more.
The increased volume of images and galaxies surveyed by recent and upcoming projects consolidates the need for accurate and scalable automated AI-driven classification methods. This paper proposes a new algorithm based on a custom neural network architecture for classifying galaxies from deep space surveys. The convolutional neural network (CNN) presented is trained using 10,000 galaxy images obtained from the Galaxy Zoo 2 dataset. It is designed to categorize galaxies into five distinct classes: completely round smooth, in-between smooth (falling between completely round and cigar-shaped), cigar-shaped smooth, edge-on, and spiral. The performance of the proposed CNN is assessed using a set of metrics such as accuracy, precision, recall, F1 score, and area under the curve. We compare our solution with well-known architectures like ResNet-50, DenseNet, EfficientNet, Inception, MobileNet, and one proposed model for galaxy classification found in the recent literature. The results show an accuracy rate of 96.83%, outperforming existing algorithms. Full article
(This article belongs to the Section Galaxies and Clusters)
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17 pages, 986 KiB  
Review
Underutilized Fruit Crops at a Crossroads: The Case of Annona cherimola—From Pre-Columbian to Present Times
by Nerea Larranaga, Jorge A. Agustín, Federico Albertazzi, Gustavo Fontecha, Wilson Vásquez-Castillo, Ricardo Cautín, Edward Quiroz, Carla Ragonezi and Jose I. Hormaza
Horticulturae 2024, 10(6), 531; https://doi.org/10.3390/horticulturae10060531 (registering DOI) - 21 May 2024
Abstract
Fruits of the cherimoya tree (Annona cherimola Mill.) were consumed by native cultures in Central America, from where the crop was disseminated to South America in pre-Columbian times. Despite its historical significance and cultivation in subtropical regions worldwide, cherimoya remains an underutilized [...] Read more.
Fruits of the cherimoya tree (Annona cherimola Mill.) were consumed by native cultures in Central America, from where the crop was disseminated to South America in pre-Columbian times. Despite its historical significance and cultivation in subtropical regions worldwide, cherimoya remains an underutilized crop, particularly in its area of origin where the conservation of its genetic diversity is under threat. In this study, we provide a comprehensive overview of the research performed on this fruit tree over the past two decades, shedding light on its current status in terms of commercial production and germplasm conservation efforts in the main cherimoya producing countries in the Americas and Europe. Full article
(This article belongs to the Section Fruit Production Systems)
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10 pages, 1859 KiB  
Article
Fomentariol, a Fomes fomentarius Compound, Exhibits Anti-Diabetic Effects in Fungal Material: An In Vitro Analysis
by Matjaž Ravnikar, Borut Štrukelj, Biljana Otašević and Mateja Sirše
Nutraceuticals 2024, 4(2), 273-282; https://doi.org/10.3390/nutraceuticals4020017 (registering DOI) - 21 May 2024
Abstract
The present study screened various fungal species for inhibitors of alpha-glucosidase, alpha-amylase, and DPP-4, enzymes that are crucial in carbohydrate metabolism. Ethanolic extracts exhibited superior inhibitory activity compared to water extracts, suggesting their potential as sources of anti-diabetic agents. Further fractionation revealed fomentariol [...] Read more.
The present study screened various fungal species for inhibitors of alpha-glucosidase, alpha-amylase, and DPP-4, enzymes that are crucial in carbohydrate metabolism. Ethanolic extracts exhibited superior inhibitory activity compared to water extracts, suggesting their potential as sources of anti-diabetic agents. Further fractionation revealed fomentariol from Fomes fomentarius as a potent inhibitor of alpha-glucosidase and DPP-4, with higher activity against alpha-glucosidase than acarbose. Fomentariol presents a novel avenue for diabetes management, demonstrating the simultaneous inhibition of key enzymes in glucose metabolism. However, comprehensive clinical studies are needed to evaluate its safety and efficacy in humans. Full article
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19 pages, 318 KiB  
Review
Stereotactic Body Radiotherapy in Recurrent and Oligometastatic Head and Neck Tumours
by Jodie L. M. Tham, Sweet Ping Ng, Richard Khor, Morikatsu Wada, Hui Gan, Alesha A. Thai, June Corry, Houda Bahig, Antti A. Mäkitie, Sandra Nuyts, Remco De Bree, Primož Strojan, Wai Tong Ng, Avraham Eisbruch, James C. H. Chow and Alfio Ferlito
J. Clin. Med. 2024, 13(11), 3020; https://doi.org/10.3390/jcm13113020 (registering DOI) - 21 May 2024
Abstract
The treatment of head and neck cancers (HNCs) encompasses a complex paradigm involving a combination of surgery, radiotherapy, and systemic treatment. Locoregional recurrence is a common cause of treatment failure, and few patients are suitable for salvage surgery. Reirradiation with conventional radiation techniques [...] Read more.
The treatment of head and neck cancers (HNCs) encompasses a complex paradigm involving a combination of surgery, radiotherapy, and systemic treatment. Locoregional recurrence is a common cause of treatment failure, and few patients are suitable for salvage surgery. Reirradiation with conventional radiation techniques is challenging due to normal tissue tolerance limits and the risk of significant toxicities. Stereotactic body radiotherapy (SBRT) has emerged as a highly conformal modality that offers the potential for cure while limiting the dose to surrounding tissue. There is also growing research that shows that those with oligometastatic disease can benefit from curative intent local ablative therapies such as SBRT. This review will look at published evidence regarding the use of SBRT in locoregional recurrent and oligometastatic HNCs. Full article
(This article belongs to the Special Issue Targeted Treatment in Head–Neck Cancer)
19 pages, 2500 KiB  
Article
Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score
by Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri and Hemlata Sharma
Entropy 2024, 26(6), 433; https://doi.org/10.3390/e26060433 (registering DOI) - 21 May 2024
Abstract
Link prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researchers have proposed various centrality measures, such as degree, clustering coefficient, [...] Read more.
Link prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researchers have proposed various centrality measures, such as degree, clustering coefficient, betweenness, and closeness centralities, to compute similarity scores for predicting links in these networks. These centrality measures leverage both the local and global information of nodes within the network. In this study, we present a novel approach to link prediction using similarity score by utilizing average centrality measures based on local and global centralities, namely Similarity based on Average Degree (SACD), Similarity based on Average Betweenness (SACB), Similarity based on Average Closeness (SACC), and Similarity based on Average Clustering Coefficient (SACCC). Our approach involved determining centrality scores for each node, calculating the average centrality for the entire graph, and deriving similarity scores through common neighbors. We then applied centrality scores to these common neighbors and identified nodes with above average centrality. To evaluate our approach, we compared proposed measures with existing local similarity-based link prediction measures, including common neighbors, the Jaccard coefficient, Adamic–Adar, resource allocation, preferential attachment, as well as recent measures like common neighbor and the Centrality-based Parameterized Algorithm (CCPA), and keyword network link prediction (KNLP). We conducted experiments on four real-world datasets. The proposed similarity scores based on average centralities demonstrate significant improvements. We observed an average enhancement of 24% in terms of Area Under the Receiver Operating Characteristic (AUROC) compared to existing local similarity measures, and a 31% improvement over recent measures. Furthermore, we witnessed an average improvement of 49% and 51% in the Area Under Precision-Recall (AUPR) compared to existing and recent measures. Our comprehensive experiments highlight the superior performance of the proposed method. Full article
(This article belongs to the Special Issue Advances in Complex Networks and Artificial Intelligence)
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15 pages, 1632 KiB  
Article
Digital Mammography (DM) vs. Dynamic Contrast Enhancement—Magnetic Resonance Imaging (DCE-MRI) in Microcalcifications Assessment: A Radiological–Pathological Comparison
by Federica Cicciarelli, Elisa Guiducci, Francesca Galati, Giuliana Moffa, Paolo Ricci, Federica Pediconi and Veronica Rizzo
Diagnostics 2024, 14(11), 1063; https://doi.org/10.3390/diagnostics14111063 (registering DOI) - 21 May 2024
Abstract
The aim of this study was to compare the characteristics of breast microcalcification on digital mammography (DM) with the histological and molecular subtypes of breast cancer and to identify the predictive value of DM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing [...] Read more.
The aim of this study was to compare the characteristics of breast microcalcification on digital mammography (DM) with the histological and molecular subtypes of breast cancer and to identify the predictive value of DM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing microcalcifications for radiologic–pathologic correlation. We relied on our prospectively maintained database of suspicious microcalcifications on DM, from which data were retrospectively collected between January 2020 and April 2023. We enrolled 158 patients, all of whom were subjected to biopsy. Additionally, 63 patients underwent breast DCE-MRI. Microcalcifications with a linear branched morphology were correlated with malignancies (p < 0.001), among which an association was highlighted between triple negatives (TNs) and segmental distribution (p < 0.001). Amorphous calcifications were correlated with atypical ductal hyperplasia (ADH) (p = 0.013), coarse heterogeneous (p < 0.001), and fine-pleomorphic (p = 0.008) with atypical lobular hyperplasia (ALH) and fine pleomorphic (p = 0.009) with flat epithelial atypia (FEA). Regarding DCE-MRI, no statistical significance was observed between non-mass lesions and ductal carcinoma in situ (DCIS). Concerning mass lesions, three were identified as DCIS and five as invasive ductal carcinoma (IDC). In conclusion, microcalcifications assessed in DM exhibit promising predictive characteristics concerning breast lesion subtypes, leading to a reduction in diagnostic times and further examination costs, thereby enhancing the clinical management of patients. Full article
(This article belongs to the Special Issue Advances in Breast Disease: From Screening to Diagnosis and Therapy)
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2 pages, 120 KiB  
Editorial
In Pursuit of Transformational Clinical Solutions
by Kent Doi
J. Clin. Med. 2024, 13(11), 3021; https://doi.org/10.3390/jcm13113021 (registering DOI) - 21 May 2024
Abstract
It gives me great pleasure to introduce myself as the new Co-Editor-in-Chief of the Journal of Clinical Medicine (JCM) [...] Full article
18 pages, 697 KiB  
Article
Analysis of Quantitative Phytochemical Content and Antioxidant Activity of Leaf, Stem, and Bark of Gymnosporia senegalensis (Lam.) Loes.
by Divya Jain, Mukesh Meena, Pracheta Janmeda, Chandra Shekhar Seth and Jaya Arora
Plants 2024, 13(11), 1425; https://doi.org/10.3390/plants13111425 (registering DOI) - 21 May 2024
Abstract
To the best of our knowledge, there was no prior report providing valuable preliminary data through a demonstration of the quantitative phytochemical and antioxidant activity of Gymnosporia senegalensis. The total contents of phenols, flavonoid, flavanol, tannin, and saponin were evaluated from different fractions [...] Read more.
To the best of our knowledge, there was no prior report providing valuable preliminary data through a demonstration of the quantitative phytochemical and antioxidant activity of Gymnosporia senegalensis. The total contents of phenols, flavonoid, flavanol, tannin, and saponin were evaluated from different fractions extracted from the leaf, stem, and bark of G. senegalensis by using standards such as gallic acid, quercetin, rutin, tannic acid, and saponin quillaja. The antioxidant potential was measured by 2,2-diphenyl-1-picrylhydrazyl (DPPH), hydrogen peroxide scavenging (H2O2), superoxide anion radical scavenging, metal chelating ferrous ion, ferric reducing antioxidant power (FRAP), and total antioxidant capacity (TAC). Data were subjected to half-inhibitory concentration (IC50) and one-way analysis of variance (ANOVA) at p < 0.05 as a significant value. The total phenol content was found to be highest in the chloroform extract of stem at 97.7 ± 0.02 mg GAE/g. The total flavonoid and flavonol contents in the aqueous extract were 97.1 ± 0.03 mg QE/g and 96.7 ± 0.07 mg RE/g, respectively. The total tannin content in the ethyl acetate extract of leaf was 97.5 ± 0.01 mg TAE/g, and the total saponin content in the methanol extract of stem was 79.1 ± 0.06 mg SQE/g. The antioxidant analysis indicated that IC50 and percentage (%) inhibition were dose-dependent and showed the highest antioxidant activity (40.9 ± 0.9 µg/mL) in methanol extract of leaf for DPPH, (88.8 ± 1.12 µg/mL) in the chloroform extract of stem for H2O2, (43.9 ± 0.15 µg/mL) in the aqueous extract of bark for superoxide anion radical scavenging activity, (26.9 ± 0.11 µg/mL) in the chloroform extract of leaf for the metal chelating ferrous ion activity, (7.55 ± 0.10 mg/mL) in the benzene extract of leaf for FRAP, and (2.97 ± 0.01 mg/mL) in the methanol extract of bark for TAC. These results show that G. senegalensis has great potential in antioxidant activities. The isolation and characterization of specific bioactive compounds and the in vivo applicability of such activity await further extensive studies for drug discovery and development. Full article
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14 pages, 1500 KiB  
Article
Improving Anorexia Nervosa Treatment with Virtual Reality Body Exposure and Attentional Bias Modification: A Single Case Study
by Mariarca Ascione, Eduardo Serrano-Troncoso, Marta Carulla-Roig, Anna Blasco Martínez, Fernando Guerrero Álvarez, Franck-Alexandre Meschberger-Annweiler, Bruno Porras-Garcia, Marta Ferrer-Garcia and José Gutierrez-Maldonado
Appl. Sci. 2024, 14(11), 4340; https://doi.org/10.3390/app14114340 (registering DOI) - 21 May 2024
Abstract
This case study explores the potential of integrating attentional bias modification training (ABMT) with mirror exposure therapy (MET), utilizing virtual reality and eye-tracking, for a 14-year-old girl diagnosed with anorexia nervosa (AN). The ABMT-MET intervention was used alongside a standard treatment program called [...] Read more.
This case study explores the potential of integrating attentional bias modification training (ABMT) with mirror exposure therapy (MET), utilizing virtual reality and eye-tracking, for a 14-year-old girl diagnosed with anorexia nervosa (AN). The ABMT-MET intervention was used alongside a standard treatment program called Home Treatment (HoT), which combines cognitive behavioral therapy with family-based therapy. Though the patient began HoT with a 3-week inpatient phase, the ABMT-MET intervention specifically took place during the subsequent Home Treatment sessions. The experimental treatment, comprising five consecutive weekly sessions, was bookended by pre- and post-assessment sessions and included a six-month follow-up. During the sessions, the patient engaged in systematic and hierarchical exposure to a virtual representation of her silhouette, with gradual adjustments made to the avatar’s body mass index (BMI) toward a healthier range. ABMT sessions, conducted before each MET session, aimed to redistribute the patient’s focus evenly across her body, successfully neutralizing her initial attentional bias toward non-weight-related body parts. The patient demonstrated consistent decreases in anxiety and fear of weight gain, effectively progressing through the BMI hierarchy in the virtual setting. Post-treatment assessments indicated significant enhancements in body dissatisfaction, drive for thinness, body-checking behaviors, and body appreciation, with these gains preserved at the six-month follow-up, although the attentional bias returned to pre-treatment levels. Though the single-case design limits definitive conclusions, these findings suggest ABMT-MET may be a promising adjunct therapy for AN, requiring further research for confirmation. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
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22 pages, 1841 KiB  
Article
A Data Attack Detection Framework for Cryptography-Based Secure Aggregation Methods in 6G Intelligent Applications
by Zhe Sun, Junxi Liang, Lihua Yin, Pingchuan Xu, Chao Li, Junping Wan and Hanyi Wang
Electronics 2024, 13(11), 1999; https://doi.org/10.3390/electronics13111999 (registering DOI) - 21 May 2024
Abstract
Eagerly anticipated, 6G networks are attributed with a variety of characteristics by researchers. A pivotal characteristic of 6G networks is the deep integration of sensing and networking, along with intelligent network applications operating on top of this infrastructure. To optimally harness the data [...] Read more.
Eagerly anticipated, 6G networks are attributed with a variety of characteristics by researchers. A pivotal characteristic of 6G networks is the deep integration of sensing and networking, along with intelligent network applications operating on top of this infrastructure. To optimally harness the data collected by sensors distributed across various locations, the training paradigm of the new generation of 6G intelligence applications aligns naturally with the federated-learning paradigm. The exposure of gradients in federated learning to inversion attacks is a critical concern. To address this, cryptography-based secure aggregation methods are commonly implemented to protect the privacy and confidentiality of gradients. However, the semantic meaninglessness of encrypted data makes it difficult to assess the correctness, availability, and source legitimacy of participants’ data. In this paper, we propose a data attack detection framework for cryptography-based secure aggregation methods in 6G intelligence applications that address the security vulnerabilities associated with encrypted data obscurity. We employ a suite of encrypted-data-auditing techniques to prevent data-aggregation errors, data poisoning, and illegal data sources. Additionally, we have compared a series of promising security methods, analyzed, and provided recommendations for the most suitable security approaches in specific 6G scenarios. Full article
(This article belongs to the Special Issue Recent Advances in Reliability and Security in 5G/6G Mobile Networks)
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25 pages, 3912 KiB  
Article
The Triterpenoid CDDO-Methyl Ester Reduces Tumor Burden, Reprograms the Immune Microenvironment, and Protects from Chemotherapy-Induced Toxicity in a Preclinical Mouse Model of Established Lung Cancer
by Jessica A. Moerland and Karen T. Liby
Antioxidants 2024, 13(6), 621; https://doi.org/10.3390/antiox13060621 (registering DOI) - 21 May 2024
Abstract
NRF2 activation protects epithelial cells from malignancy, but cancer cells can upregulate the pathway to promote survival. NRF2 activators including CDDO-Methyl ester (CDDO-Me) inhibit cancer in preclinical models, suggesting NRF2 activation in other cell types may promote anti-tumor activity. However, the immunomodulatory effects [...] Read more.
NRF2 activation protects epithelial cells from malignancy, but cancer cells can upregulate the pathway to promote survival. NRF2 activators including CDDO-Methyl ester (CDDO-Me) inhibit cancer in preclinical models, suggesting NRF2 activation in other cell types may promote anti-tumor activity. However, the immunomodulatory effects of NRF2 activation remain poorly understood in the context of cancer. To test CDDO-Me in a murine model of established lung cancer, tumor-bearing wildtype (WT) and Nrf2 knockout (KO) mice were treated with 50–100 mg CDDO-Me/kg diet, alone or combined with carboplatin/paclitaxel (C/P) for 8–12 weeks. CDDO-Me decreased tumor burden in an Nrf2-dependent manner. The combination of CDDO-Me plus C/P was significantly (p < 0.05) more effective than either drug alone, reducing tumor burden by 84% in WT mice. CDDO-Me reduced the histopathological grade of WT tumors, with a significantly (p < 0.05) higher proportion of low-grade tumors and a lower proportion of high-grade tumors. These changes were augmented by combination with C/P. CDDO-Me also protected WT mice from C/P-induced toxicity and improved macrophage and T cell phenotypes in WT mice, reducing the expression of CD206 and PD-L1 on macrophages, decreasing immunosuppressive FoxP3+ CD4+ T cells, and increasing activation of CD8+ T cells in a Nrf2-dependent manner. Full article
(This article belongs to the Special Issue Oxidative Stress and NRF2 in Health and Disease)
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16 pages, 1763 KiB  
Article
Raman Spectroscopy for the Time since Deposition Estimation of a Menstrual Bloodstain
by Alexis Weber, Anna Wójtowicz, Renata Wietecha-Posłuszny and Igor K. Lednev
Sensors 2024, 24(11), 3262; https://doi.org/10.3390/s24113262 (registering DOI) - 21 May 2024
Abstract
Forensic chemistry plays a crucial role in aiding law enforcement investigations by applying analytical techniques for the analysis of evidence. While bloodstains are frequently encountered at crime scenes, distinguishing between peripheral and menstrual bloodstains presents a challenge. This is due to their similar [...] Read more.
Forensic chemistry plays a crucial role in aiding law enforcement investigations by applying analytical techniques for the analysis of evidence. While bloodstains are frequently encountered at crime scenes, distinguishing between peripheral and menstrual bloodstains presents a challenge. This is due to their similar appearance post-drying. Raman spectroscopy has emerged as a promising technique capable of discriminating between the two types of bloodstains, offering invaluable probative information. Moreover, estimating the time since deposition (TSD) of bloodstains aids in crime scene reconstruction and prioritizing what evidence to collect. Despite extensive research focusing on TSD estimations, primarily in peripheral bloodstains, a crucial gap exists in determining the TSD of menstrual bloodstains. This study demonstrates how Raman spectroscopy effectively analyzes biological samples like menstrual blood, showing similar aging patterns to those of peripheral blood and provides proof-of-concept models for determining the TSD of menstrual blood. While this work shows promising results for creating a universal model for bloodstain age determination, further testing with more donors needs to be conducted before the implementation of this method into forensic practice. Full article
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18 pages, 5933 KiB  
Article
Semicircular Coastal Defence Structures: Impact of Gap Spacing on Shoreline Dynamics during Storm Events
by Bárbara F. V. Vieira, José L. S. Pinho and Joaquim A. O. Barros
J. Mar. Sci. Eng. 2024, 12(6), 850; https://doi.org/10.3390/jmse12060850 (registering DOI) - 21 May 2024
Abstract
Coastal erosion poses significant challenges to shoreline management, exacerbated by rising sea levels and changing climate patterns. This study investigates the influence of gap spacing between semicircular coastal defence structures on shoreline dynamics during storm events. The innovative design of these structures aims [...] Read more.
Coastal erosion poses significant challenges to shoreline management, exacerbated by rising sea levels and changing climate patterns. This study investigates the influence of gap spacing between semicircular coastal defence structures on shoreline dynamics during storm events. The innovative design of these structures aims to induce a drift reversal of prevalent sediment transport while avoiding interruption of alongshore sediment drift, thus protecting the beach. Three different gap spacings, ranging from 152 m to 304 m, were analysed using the XBeach numerical model, focusing on storm morphodynamic behaviour. Methodologically, hydrodynamic and morphodynamic analyses were conducted to understand variations in significant wave heights adjacent to the structures, in accretion and erosion volumes, and changes in bed level under storm conditions. The study aims to elucidate the complex interaction between engineered coastal protection solutions and natural coastal processes, providing practical insights for coastal management practices. Results indicate that installing semicircular coastal defence structures influences sediment dynamics during storm events, effectively protecting stretches of the coast at risk. Optimal gap spacing between structures is crucial to mitigating coastal erosion and enhancing sediment accumulation, offering a sustainable shoreline protection approach. The findings underscore the importance of balanced location selection to optimize protection benefits while minimizing adverse morphological effects. Overall, this research contributes to advancing knowledge of hydro-morphological phenomena essential for effective coastal engineering and informs the design and implementation of more sustainable coastal protection strategies in the face of increasing coastal erosion and sea level rise challenges. Full article
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21 pages, 851 KiB  
Review
Exploring Vitamin D Synthesis and Function in Cardiovascular Health: A Narrative Review
by Gilda Aiello, Mauro Lombardo and Sara Baldelli
Appl. Sci. 2024, 14(11), 4339; https://doi.org/10.3390/app14114339 (registering DOI) - 21 May 2024
Abstract
Vitamin D plays a crucial role in the human body, influencing a wide range of physiological processes from bone health to immune function. The complex biochemical pathways involved in the synthesis, metabolism, and action of Vitamin D are explored, emphasizing its importance in [...] Read more.
Vitamin D plays a crucial role in the human body, influencing a wide range of physiological processes from bone health to immune function. The complex biochemical pathways involved in the synthesis, metabolism, and action of Vitamin D are explored, emphasizing its importance in nutrition and food technology. This review also investigates the regulatory mechanisms that control Vitamin D metabolism and its systemic effects on calcium homeostasis, cell proliferation, differentiation, and immune modulation. The role of Vitamin D3 in regulating blood pressure and atherosclerosis in the onset of cardiovascular disorders is discussed. Given the importance of Vitamin D in food science and technology, the regulatory mechanisms that control Vitamin D metabolism and its systemic effects on calcium homeostasis are also investigated, integrating innovative approaches and advanced technologies to improve human health through nutrition. Additionally, the review assesses the influence of food processing on Vitamin D levels and discusses cutting-edge technologies as innovative strategies to mitigate Vitamin D loss during food processing. This comprehensive exploration aims to improve our understanding of the biochemical pathways of Vitamin D and its relevance to food science, contributing to the development of new strategies for food fortification and the promotion of optimal health through diet. Full article
(This article belongs to the Special Issue Nutrient and Metabolite Profiling in Food Science)
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13 pages, 2354 KiB  
Article
Bowman–Birk Inhibitor Mutants of Soybean Generated by CRISPR-Cas9 Reveal Drastic Reductions in Trypsin and Chymotrypsin Inhibitor Activities
by Won-Seok Kim, Jason D. Gillman, Sunhyung Kim, Junqi Liu, Madhusudhana R. Janga, Robert M. Stupar and Hari B. Krishnan
Int. J. Mol. Sci. 2024, 25(11), 5578; https://doi.org/10.3390/ijms25115578 (registering DOI) - 21 May 2024
Abstract
Despite the high quality of soybean protein, raw soybeans and soybean meal cannot be directly included in animal feed mixtures due to the presence of Kunitz (KTi) and Bowman–Birk protease inhibitors (BBis), which reduces animal productivity. Heat treatment can substantially inactivate trypsin and [...] Read more.
Despite the high quality of soybean protein, raw soybeans and soybean meal cannot be directly included in animal feed mixtures due to the presence of Kunitz (KTi) and Bowman–Birk protease inhibitors (BBis), which reduces animal productivity. Heat treatment can substantially inactivate trypsin and chymotrypsin inhibitors (BBis), but such treatment is energy-intensive, adds expense, and negatively impacts the quality of seed proteins. As an alternative approach, we have employed CRISPR/Cas9 gene editing to create mutations in BBi genes to drastically lower the protease inhibitor content in soybean seed. Agrobacterium-mediated transformation was used to generate several stable transgenic soybean events. These independent CRISPR/Cas9 events were examined in comparison to wild-type plants using Sanger sequencing, proteomic analysis, trypsin/chymotrypsin inhibitor activity assays, and qRT-PCR. Collectively, our results demonstrate the creation of an allelic series of loss-of-function mutations affecting the major BBi gene in soybean. Mutations in two of the highly expressed seed-specific BBi genes lead to substantial reductions in both trypsin and chymotrypsin inhibitor activities. Full article
(This article belongs to the Special Issue Genetics and Novel Techniques for Soybean Pivotal Characters)
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6 pages, 171 KiB  
Editorial
Cancer: A Multifaceted Enemy and the Precision Oncology Response
by Elena Levantini
Int. J. Mol. Sci. 2024, 25(11), 5577; https://doi.org/10.3390/ijms25115577 (registering DOI) - 21 May 2024
Abstract
Cancer heterogeneity presents a major obstacle in clinical practice that grants tumor cells remarkable levels of resilience, adaptability, and invasiveness [...] Full article
(This article belongs to the Special Issue Novel Therapeutic Targets in Cancers 2.0)
14 pages, 5124 KiB  
Article
Corrosion Behavior and Mechanical Property of 5182 Aluminum/DP780 Steel Resistance Spot Welding Joints
by Xuan Shi, Sai Zhang, Tao Li, Xianming Meng, Congqian Cheng, Jibin Pei, Tieshan Cao and Jie Zhao
Materials 2024, 17(11), 2472; https://doi.org/10.3390/ma17112472 (registering DOI) - 21 May 2024
Abstract
Corrosion behavior is critical to the application of lightweight aluminum/steel joints using new resistance spot welding (RSW) technology. The study investigated the corrosion mechanism and the shear strength of RSW joints comprising 1.2 mm 5182 aluminum and 1.5 mm DP780 galvanized steel. Electrochemical [...] Read more.
Corrosion behavior is critical to the application of lightweight aluminum/steel joints using new resistance spot welding (RSW) technology. The study investigated the corrosion mechanism and the shear strength of RSW joints comprising 1.2 mm 5182 aluminum and 1.5 mm DP780 galvanized steel. Electrochemical corrosion tests were conducted on the base materials and various positions of the welds in a 3.5% NaCl solution. This result revealed that the corrosion susceptibility of the interfacial intermetallic compound (IMC) layer was not accelerated by the aluminum nugget because of the noble corrosion potential. Subsequently, the spray acceleration test was employed to investigate the corrosion mechanism. It is noteworthy that microcracks, as well as regions enriched with silicon and oxygen at the interface front, are preferential to corrosion during salt spray exposure, instead of the IMC layer. Moreover, the shear strength of the joints decreases with the reduction in the effective joint area after the salt spray exposure of the weld joints. This research systematically explored the corrosion behavior and its relationship with the mechanical properties of Al alloy/steel RSW joints. Full article
(This article belongs to the Special Issue Microstructures and Properties of Corrosion-Resistant Alloys)
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15 pages, 3447 KiB  
Article
MXene-Based Flexible Electrodes for Electrophysiological Monitoring
by Meera Alex, Kashif Rast Baz Khan, Amani Al-Othman, Mohammad H. Al-Sayah and Hasan Al Nashash
Sensors 2024, 24(11), 3260; https://doi.org/10.3390/s24113260 (registering DOI) - 21 May 2024
Abstract
The advancement of flexible electrodes triggered research on wearables and health monitoring applications. Metal-based bioelectrodes encounter low mechanical strength and skin discomfort at the electrode–skin interface. Thus, recent research has focused on the development of flexible surface electrodes with low electrochemical resistance and [...] Read more.
The advancement of flexible electrodes triggered research on wearables and health monitoring applications. Metal-based bioelectrodes encounter low mechanical strength and skin discomfort at the electrode–skin interface. Thus, recent research has focused on the development of flexible surface electrodes with low electrochemical resistance and high conductivity. This study investigated the development of a novel, flexible, surface electrode based on a MXene/polydimethylsiloxane (PDMS)/glycerol composite. MXenes offer the benefit of featuring highly conductive transition metals with metallic properties, including a group of carbides, nitrides, and carbonitrides, while PDMS exhibits inherent biostability, flexibility, and biocompatibility. Among the various MXene-based electrode compositions prepared in this work, those composed of 15% and 20% MXene content were further evaluated for their potential in electrophysiological sensing applications. The samples underwent a range of characterization techniques, including electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), as well as mechanical and bio-signal sensing from the skin. The experimental findings indicated that the compositions demonstrated favorable bulk impedances of 280 and 111 Ω, along with conductivities of 0.462 and 1.533 mS/cm, respectively. Additionally, they displayed promising electrochemical stability, featuring charge storage densities of 0.665 mC/cm2 and 1.99 mC/cm2, respectively. By conducting mechanical tests, Young’s moduli were determined to be 2.61 MPa and 2.18 MPa, respectively. The composite samples exhibited elongation of 139% and 144%, respectively. Thus, MXene-based bioelectrodes show promising potential for flexible and wearable electronics and bio-signal sensing applications. Full article
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13 pages, 1233 KiB  
Article
Tactical Situations and Playing Styles as Key Performance Indicators in Soccer
by Spyridon Plakias, Themistoklis Tsatalas, Vasileios Armatas, Dimitris Tsaopoulos and Giannis Giakas
J. Funct. Morphol. Kinesiol. 2024, 9(2), 88; https://doi.org/10.3390/jfmk9020088 (registering DOI) - 21 May 2024
Abstract
The game of soccer is complex and unpredictable, demanding multifaceted strategies for success. Performance analysis has evolved, focusing on key performance indicators (KPIs) to determine the factors that most significantly influence a team’s success or failure during matches. Traditional performance analysis methods have [...] Read more.
The game of soccer is complex and unpredictable, demanding multifaceted strategies for success. Performance analysis has evolved, focusing on key performance indicators (KPIs) to determine the factors that most significantly influence a team’s success or failure during matches. Traditional performance analysis methods have emphasized quantifiable data like physical exertion and basic play events but often neglected the subtler tactical dimensions that could significantly impact game outcomes. This study aimed to fill the gap in the current literature by creating a comprehensive framework that incorporates tactical situations as KPIs. The objective was to examine whether specific playing styles adopted by teams in various tactical situations and phases of the game could predict the outcome of matches. A dataset comprising all First Division Championship matches from 11 different European countries for the 2021–2022 season was analyzed. Variables representing tactical situations were correlated with match outcomes using a Generalized Estimating Equation framework. The model was specified with a binomial distribution and a logit link function. Statistical significance was determined using Wald χ2 tests with a significance level set at p < 0.05. The study’s findings revealed that possession style, counterattacking during offensive transitions, and a balanced aggressive defensive strategy significantly increase a team’s chances of victory. It also showed that successful teams tend to focus on central attacks, minimize crossing, and execute strategic plays that lead to final attempts on goal with minimal ball possession. The above findings demonstrate that adopting certain tactical approaches significantly influences soccer match outcomes, highlighting the importance of considering tactical aspects as KPIs. Full article
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12 pages, 455 KiB  
Systematic Review
Effects of Hydrolyzed Collagen as a Dietary Supplement on Fibroblast Activation: A Systematic Review
by Pedro Augusto Querido Inacio, Felipe Augusto Chaluppe, Gerson Ferreira Aguiar, Carly de Faria Coelho and Rodolfo P. Vieira
Nutrients 2024, 16(11), 1543; https://doi.org/10.3390/nu16111543 (registering DOI) - 21 May 2024
Abstract
Background: Our objective was to conduct a systematic review of the effects of hydrolyzed collagen supplementation on the proliferation and activation of fibroblasts. Methods: The search was conducted for journals that published articles in the English language, peer-reviewed, meeting the following criteria: (a) [...] Read more.
Background: Our objective was to conduct a systematic review of the effects of hydrolyzed collagen supplementation on the proliferation and activation of fibroblasts. Methods: The search was conducted for journals that published articles in the English language, peer-reviewed, meeting the following criteria: (a) randomized clinical trials, (b) randomized studies in animals or humans, (c) in vitro studies, (d) studies using hydrolyzed collagens or collagen peptides, and (e) studies assessing alterations on fibroblasts as the primary or secondary outcome. We utilized the main journal databases PubMed/Web of Science and ongoing reviews by PROSPERO. For bias risk and methodological quality, we used an adaptation of the Downs and Black checklist. Our review followed the PRISMA checklist, conducted from February 2024 to the first week of March 2024, by two independent researchers (P.A.Q.I. and R.P.V.). Results: Eleven studies were included in this review, where our findings reinforce the notion that hydrolyzed collagens or collagen peptides at concentrations of 50–500 μg/mL are sufficient to stimulate fibroblasts in human and animal tissues without inducing toxicity. Different enzymatic processes may confer distinct biological properties to collagens, allowing for scenarios favoring fibroblast promotion or antioxidant effects. Lastly, collagens with lower molecular weights exhibit greater bioavailability to adjacent tissues. Conclusions: Hydrolyzed collagens or collagen peptides with molecular sizes ranging from <3 to 3000 KDa promote the stimulation of fibroblasts in human tissues. Full article
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10 pages, 689 KiB  
Review
Treating Diphenhydramine Overdose: A Literature Review of Currently Available Treatment Methods
by Jayna Patel and Joshua Edwards
Toxics 2024, 12(6), 376; https://doi.org/10.3390/toxics12060376 (registering DOI) - 21 May 2024
Abstract
From 2019 to 2020, antihistamines were found in 15% of all US drug overdose deaths, often co-administered with fentanyl, with 3.6% of overdose deaths due to antihistamines alone. The most common antihistamine found in all these reported deaths is diphenhydramine, a ubiquitous, over-the-counter [...] Read more.
From 2019 to 2020, antihistamines were found in 15% of all US drug overdose deaths, often co-administered with fentanyl, with 3.6% of overdose deaths due to antihistamines alone. The most common antihistamine found in all these reported deaths is diphenhydramine, a ubiquitous, over-the-counter and clinically important medication. Currently, there is no antidote for diphenhydramine overdose. This review summarizes the adverse health effects and current emergency medicine treatments for diphenhydramine. Several emergency medicine case reports are reviewed, and the efficacy and outcomes of a variety of treatments are compared. The treatments reviewed include the more traditional antihistamine overdose therapeutics physostigmine and sodium bicarbonate, as well as newer ones such as donepezil, dexmedetomidine, and lipid emulsion therapy. We conclude that more study is needed to determine the ideal therapeutic approach to treating antihistamine overdoses. Full article
(This article belongs to the Section Drugs Toxicity)
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21 pages, 2273 KiB  
Review
Revisiting the Role of Sensors for Shaping Plant Research: Applications and Future Perspectives
by Anshika Tyagi, Zahoor Ahmad Mir and Sajad Ali
Sensors 2024, 24(11), 3261; https://doi.org/10.3390/s24113261 (registering DOI) - 21 May 2024
Abstract
Plant health monitoring is essential for understanding the impact of environmental stressors (biotic and abiotic) on crop production, and for tailoring plant developmental and adaptive responses accordingly. Plants are constantly exposed to different stressors like pathogens and soil pollutants (heavy metals and pesticides) [...] Read more.
Plant health monitoring is essential for understanding the impact of environmental stressors (biotic and abiotic) on crop production, and for tailoring plant developmental and adaptive responses accordingly. Plants are constantly exposed to different stressors like pathogens and soil pollutants (heavy metals and pesticides) which pose a serious threat to their survival and to human health. Plants have the ability to respond to environmental stressors by undergoing rapid transcriptional, translational, and metabolic reprogramming at different cellular compartments in order to balance growth and adaptive responses. However, plants’ exceptional responsiveness to environmental cues is highly complex, which is driven by diverse signaling molecules such as calcium Ca2+, reactive oxygen species (ROS), hormones, small peptides and metabolites. Additionally, other factors like pH also influence these responses. The regulation and occurrence of these plant signaling molecules are often undetectable, necessitating nondestructive, live research approaches to understand their molecular complexity and functional traits during growth and stress conditions. With the advent of sensors, in vivo and in vitro understanding of some of these processes associated with plant physiology, signaling, metabolism, and development has provided a novel platform not only for decoding the biochemical complexity of signaling pathways but also for targeted engineering to improve diverse plant traits. The application of sensors in detecting pathogens and soil pollutants like heavy metal and pesticides plays a key role in protecting plant and human health. In this review, we provide an update on sensors used in plant biology for the detection of diverse signaling molecules and their functional attributes. We also discuss different types of sensors (biosensors and nanosensors) used in agriculture for detecting pesticides, pathogens and pollutants. Full article
(This article belongs to the Special Issue Nano-Diagnostic Sensors and Technologies)
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10 pages, 5017 KiB  
Review
Hybrid Management of Dysphagia Lusoria with Tevar Implantation and Bilateral Subclavian Arteries Debranching: A Review of the Literature and a Case Report
by Ovidiu Stiru, Mircea Robu, Pavel Platon, Serban-Ion Bubenek-Turconi, Vlad Anton Iliescu and Catalina Parasca
J. Pers. Med. 2024, 14(6), 547; https://doi.org/10.3390/jpm14060547 (registering DOI) - 21 May 2024
Abstract
Aberrant right subclavian artery (ARSA) causing dysphagia, the so-called “dysphagia lusoria”, is a frequent embryologic anomaly of the aortic arch. In symptomatic patients, studies report several management options including surgical, hybrid, and totally endovascular strategies. Hybrid techniques have the advantage of no chest [...] Read more.
Aberrant right subclavian artery (ARSA) causing dysphagia, the so-called “dysphagia lusoria”, is a frequent embryologic anomaly of the aortic arch. In symptomatic patients, studies report several management options including surgical, hybrid, and totally endovascular strategies. Hybrid techniques have the advantage of no chest opening with reduced morbidity, but the problem of the ARSA stump causing recurrent or persistent dysphagia remains challenging in some cases. We conducted a literature review on the management strategies of ARSA and presented the case of a 72-year-old female patient with ARSA and dysphagia managed with thoracic endovascular repair of the aorta (TEVAR) and bilateral carotid–subclavian artery bypass. This technique was chosen because of the severe calcifications at the level of ARSA origin that would make surgical ligation difficult, or if an occluder device not suitable. We think that a patient-tailored approach should be considered in cases of dysphagia lusoria, considering that a multitude of strategies are reported. Full article
(This article belongs to the Special Issue Current Updates on Cardiovascular Diseases in Emergency Medicine)
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