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Keywords = GM (1, N)

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23 pages, 3578 KiB  
Article
High-Precision Chip Detection Using YOLO-Based Methods
by Ruofei Liu and Junjiang Zhu
Algorithms 2025, 18(7), 448; https://doi.org/10.3390/a18070448 - 21 Jul 2025
Viewed by 267
Abstract
Machining chips are directly related to both the machining quality and tool condition. However, detecting chips from images in industrial settings poses challenges in terms of model accuracy and computational speed. We firstly present a novel framework called GM-YOLOv11-DNMS to track the chips, [...] Read more.
Machining chips are directly related to both the machining quality and tool condition. However, detecting chips from images in industrial settings poses challenges in terms of model accuracy and computational speed. We firstly present a novel framework called GM-YOLOv11-DNMS to track the chips, followed by a video-level post-processing algorithm for chip counting in videos. GM-YOLOv11-DNMS has two main improvements: (1) it replaces the CNN layers with a ghost module in YOLOv11n, significantly reducing the computational cost while maintaining the detection performance, and (2) it uses a new dynamic non-maximum suppression (DNMS) method, which dynamically adjusts the thresholds to improve the detection accuracy. The post-processing method uses a trigger signal from rising edges to improve chip counting in video streams. Experimental results show that the ghost module reduces the FLOPs from 6.48 G to 5.72 G compared to YOLOv11n, with a negligible accuracy loss, while the DNMS algorithm improves the debris detection precision across different YOLO versions. The proposed framework achieves precision, recall, and mAP@0.5 values of 97.04%, 96.38%, and 95.56%, respectively, in image-based detection tasks. In video-based experiments, the proposed video-level post-processing algorithm combined with GM-YOLOv11-DNMS achieves crack–debris counting accuracy of 90.14%. This lightweight and efficient approach is particularly effective in detecting small-scale objects within images and accurately analyzing dynamic debris in video sequences, providing a robust solution for automated debris monitoring in machine tool processing applications. Full article
(This article belongs to the Special Issue Machine Learning Models and Algorithms for Image Processing)
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23 pages, 3632 KiB  
Article
Composite HPMC-Gelatin Films Loaded with Cameroonian and Manuka Honeys Show Antibacterial and Functional Wound Dressing Properties
by Joshua Boateng and Sana Khan
Gels 2025, 11(7), 557; https://doi.org/10.3390/gels11070557 - 19 Jul 2025
Viewed by 790
Abstract
Antimicrobial resistance in infected chronic wounds present significant risk of complications (e.g., amputations, fatalities). This research aimed to formulate honey-loaded hydrocolloid film comprising gelatin and HPMC, for potential treatment of infected chronic wounds. Honeys from different sources (Cameroonian and Manuka) were used as [...] Read more.
Antimicrobial resistance in infected chronic wounds present significant risk of complications (e.g., amputations, fatalities). This research aimed to formulate honey-loaded hydrocolloid film comprising gelatin and HPMC, for potential treatment of infected chronic wounds. Honeys from different sources (Cameroonian and Manuka) were used as the bioactive ingredients and their functional characteristics evaluated and compared. The formulated solvent cast films were functionally characterized for tensile, mucoadhesion and moisture handling properties. The morphology and physical characteristics of the films were also analyzed using FTIR, X-ray diffraction and scanning electron microscopy. Antibacterial susceptibility testing was performed to study the inhibition of Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus by honey components released from the films. The % elongation values (8.42–40.47%) increased, elastic modulus (30.74–0.62 Nmm) decreased, the stickiness (mucoadhesion) (0.9–1.9 N) increased, equilibrium water content (32.9–72.0%) and water vapor transmission rate (900–298 gm2 day−1) generally decreased, while zones of inhibition (2.4–6.5 mm) increased with increasing honey concentration for 1 and 5% w/v, respectively. The results generally showed similar performance for the different honeys and demonstrate the efficacy of honey-loaded hydrocolloid films as potential wound dressing against bacterial growth and potential treatment of infected chronic wounds. Full article
(This article belongs to the Special Issue Synthesis, Characterization and Pharmaceutical Applications of Gels)
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21 pages, 3852 KiB  
Article
PCSK9 Inhibitor Inclisiran Attenuates Cardiotoxicity Induced by Sequential Anthracycline and Trastuzumab Exposure via NLRP3 and MyD88 Pathway Inhibition
by Vincenzo Quagliariello, Massimiliano Berretta, Irma Bisceglia, Martina Iovine, Matteo Barbato, Raffaele Arianna, Maria Laura Canale, Andrea Paccone, Alessandro Inno, Marino Scherillo, Stefano Oliva, Christian Cadeddu Dessalvi, Alfredo Mauriello, Carlo Maurea, Celeste Fonderico, Anna Chiara Maratea, Domenico Gabrielli and Nicola Maurea
Int. J. Mol. Sci. 2025, 26(14), 6617; https://doi.org/10.3390/ijms26146617 - 10 Jul 2025
Viewed by 451
Abstract
Cardiotoxicity related to anthracyclines and trastuzumab represents a significant clinical challenge in cancer therapy, often limiting treatment efficacy and patient survival. The underlying mechanisms of cardiotoxicity involve the activation of NLRP3 and the MyD88-dependent signaling pathway. Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i), [...] Read more.
Cardiotoxicity related to anthracyclines and trastuzumab represents a significant clinical challenge in cancer therapy, often limiting treatment efficacy and patient survival. The underlying mechanisms of cardiotoxicity involve the activation of NLRP3 and the MyD88-dependent signaling pathway. Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i), such as inclisiran, are known for their lipid-lowering effects, but emerging data indicate that they may also exert pleiotropic benefits beyond cholesterol reduction. This study investigates whether inclisiran can mitigate the cardiotoxic effects of anthracyclines and trastuzumab through reduction of NLRP3 activation and MyD88 signaling, independently of its effects on dyslipidemia. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) were exposed to subclinical concentrations of doxorubicin (1 µM) and trastuzumab in sequential therapy (200 nM), alone or in combination with inclisiran (100 nM) for 24 h. After the incubation period, we performed the following tests: determination of cardiomyocytes apoptosis, analysis of intracellular reactive oxygen species, lipid peroxidation products (including malondialdehyde and 4-hydroxynonenal), intracellular mitofusin-2 and Ca++ levels. Troponin and BNP were quantified through selective ELISA methods. A confocal laser scanning microscope was used to study cardiomyocyte morphology and F-actin staining after treatments. Moreover, pro-inflammatory studies were also performed, including the intracellular expression of NLRP-3, MyD-88 and twelve cytokines/growth factors involved in cardiotoxicity (IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-10, IL-12, IL17-α, IFN-γ, TNF-α, G-CSF, GM-CSF). Inclisiran co-incubated with doxorubicin and trastuzumab exerts significant cardioprotective effects, enhancing cell viability by 88.9% compared to only DOXO/TRA treated cells (p < 0.001 for all). Significant reduction of oxidative stress, and intracellular levels of NLRP-3, MyD88, IL-1α, IL-1β, IL-6, IL-12, IL17-α, TNF-α, G-CSF were seen in the inclisiran group vs. only DOXO/TRA (p < 0.001). For the first time, PCSK9i inclisiran has been shown to exert significant anti-inflammatory effects to reduce anthracycline-HER-2 blocking agent-mediated cardiotoxicity through NLRP-3 and Myd-88 related pathways. The overall conclusions of the study warrant further investigation of the use of PCSK9i in primary prevention of CTRCD in cancer patients, independently from dyslipidemia. Full article
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28 pages, 4142 KiB  
Article
Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model
by Jie Wang, Pingping Xiong, Shanshan Wang, Ziheng Yuan and Jiawei Shangguan
Sustainability 2025, 17(13), 6229; https://doi.org/10.3390/su17136229 - 7 Jul 2025
Viewed by 450
Abstract
Green technology innovation (GTI) is pivotal for driving energy transition and low-carbon development in manufacturing. This study evaluates the spatiotemporal efficiency and predicts trends of GTI in China’s Yangtze River Economic Belt (YREB, 2010–2022) using a combined “input-desirable output-undesirable output” framework. Combining the [...] Read more.
Green technology innovation (GTI) is pivotal for driving energy transition and low-carbon development in manufacturing. This study evaluates the spatiotemporal efficiency and predicts trends of GTI in China’s Yangtze River Economic Belt (YREB, 2010–2022) using a combined “input-desirable output-undesirable output” framework. Combining the SBM and super-efficiency SBM models, we evaluate regional GTI efficiency (2010–2022) and reveal its spatiotemporal patterns. An improved GM(1,N|λ,γ) model with a new information adjustment parameter (λ) and nonlinear parameter (γ) is applied for prediction. Key findings include: (1) The GTI efficiency remains generally low during the study period (provincial average: 0.7049–1.4526), showing an “east-high, west-low” spatial heterogeneity. Temporally, provincial efficiency peaked in 2016, with intensified fluctuations around 2020 due to policy iterations and external shocks. (2) Regional efficiency displays a stepwise decline pattern from downstream to middle-upstream areas. Middle-upstream regions face efficiency constraints from insufficient inputs and undesirable output redundancy, yet exhibit significant optimization potential. (3) Parameter analysis highlights that downstream provinces (γ ≈ 1) exhibit mature green adoption, while mid-upstream regions (e.g., Hubei) face severe technological lock-in and reliance on traditional energy. Additionally, middle and downstream provinces (e.g., Sichuan, Anhui) with low λ values show rapid policy responsiveness, but face efficiency volatility from frequent shifts. (4) The improved GM(1,N|λ,γ) model shows markedly enhanced prediction accuracy compared to traditional grey models, effectively addressing the “poor-information, grey-characteristic” data trend extraction challenges in GTI research. Based on these findings, targeted policy recommendations are proposed to advance GTI development. Full article
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26 pages, 7848 KiB  
Article
The Impact of Inundation and Nitrogen on Common Saltmarsh Species Using Marsh Organ Experiments in Mississippi
by Kelly M. San Antonio, Wei Wu, Makenzie Holifield and Hailong Huang
Water 2025, 17(10), 1504; https://doi.org/10.3390/w17101504 - 16 May 2025
Viewed by 423
Abstract
Sea level rise is an escalating threat to saltmarsh ecosystems as increased inundation can lead to decreased biomass, lowered productivity, and plant death. Another potential stressor is elevated nitrogen often brought into coastal regions via freshwater diversions. Nitrogen has a controversial impact on [...] Read more.
Sea level rise is an escalating threat to saltmarsh ecosystems as increased inundation can lead to decreased biomass, lowered productivity, and plant death. Another potential stressor is elevated nitrogen often brought into coastal regions via freshwater diversions. Nitrogen has a controversial impact on belowground biomass, potentially affecting saltmarsh stability. In this study, we examined the effects of inundation and nitrogen on common saltmarsh plants (Spartina alterniflora and Spartina patens) placed within two marsh organs (a collection of PVC pipes at different levels, the varied elevation levels expose the plants to different inundation amounts) located in the Pascagoula River, Mississippi, USA, with six rows and eight replicates in each row. We randomly fertilized four replicates in each row with 25 g/m2 of NH4+-N every two-three weeks during the growing season in 2021 and 2022. We concurrently collected vegetative traits such as plant height and leaf count to better understand strategies saltmarshes utilize to maximize survival or growth. We harvested half of the vegetation in Year 1 and the remaining in Year 2 to evaluate the impact of inundation and nitrogen on above- and belowground biomass at different temporal scales. We developed Bayesian models that show inundation had a largely positive impact on S. alterniflora and a mostly negative impact S. patens, suggesting that S. alterniflora will adapt better to increasing inundation than S. patens. Additionally, fertilized plants from both species had higher aboveground biomass than non-fertilized plants for both years, with nitrogen addition only showing impact on belowground biomass in the long term. Our results highlight the importance of long-term study to facilitate more-informed restoration and conservation efforts in coastal wetlands while accounting for climate change and sea level rise. Full article
(This article belongs to the Special Issue New Insights into Sea Level Dynamics and Coastal Erosion)
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16 pages, 2552 KiB  
Article
Yeast-Produced Human Recombinant Lysosomal β-Hexosaminidase Efficiently Rescues GM2 Ganglioside Accumulation in Tay–Sachs Disease
by Orhan Kerim Inci, Andrés Felipe Leal, Nurselin Ates, Diego A. Súarez, Angela Johana Espejo-Mojica, Carlos Javier Alméciga-Diaz and Volkan Seyrantepe
J. Pers. Med. 2025, 15(5), 196; https://doi.org/10.3390/jpm15050196 - 10 May 2025
Viewed by 782
Abstract
Background: Tay–Sachs disease (TSD) is an autosomal recessive lysosomal storage disorder characterized by the accumulation of GM2 ganglioside due to mutations in the HEXA gene, which encodes the α-subunit of β-Hexosaminidase A. This accumulation leads to significant neuropathological effects and premature death in [...] Read more.
Background: Tay–Sachs disease (TSD) is an autosomal recessive lysosomal storage disorder characterized by the accumulation of GM2 ganglioside due to mutations in the HEXA gene, which encodes the α-subunit of β-Hexosaminidase A. This accumulation leads to significant neuropathological effects and premature death in affected individuals. No effective treatments exist, but enzyme replacement therapies are under investigation. In our previous work, we demonstrated the internalization and efficacy of human recombinant lysosomal β-hexosaminidase A (rhHex-A), produced in the methylotrophic yeast Pichia pastoris, in reducing lipids and lysosomal mass levels in fibroblasts and neural stem cells derived from patient-induced pluripotent stem cells (iPSCs). In this study, we further evaluated the potential of rhHex-A to prevent GM2 accumulation using fibroblast and neuroglia cells from a TSD patient alongside a relevant mouse model. Methods: Fibroblasts and neuroglial cell lines derived from a murine model and TSD patients were treated with 100 nM rhHexA for 72 h. After treatment, cells were stained by anti-GM2 (targeting GM2 ganglioside; KM966) and anti-LAMP1 (lysosomal-associated membrane protein 1) colocalization staining and incubated with 50 nM LysoTracker Red DND-99 to label lysosomes. In addition, GM2AP and HEXB expression were analyzed to assess whether rhHex-A treatment affected the levels of enzymes involved in GM2 ganglioside degradation. Results: Immunofluorescence staining for LysoTracker and colocalization studies of GM2 and Lamp1 indicated reduced lysosomal mass and GM2 levels. Notably, rhHex-A treatment also affected the expression of the HEXB gene, which is involved in GM2 ganglioside metabolism, highlighting a potential regulatory interaction within the metabolic pathway. Conclusions: Here, we report that rhHex-A produced in yeast can efficiently degrade GM2 ganglioside and rescue lysosomal accumulation in TSD cells. Full article
(This article belongs to the Special Issue Inborn Errors of Metabolism: From Pathomechanisms to Treatment)
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12 pages, 2564 KiB  
Article
Nitrogen Budget and the Effects of Sea Grape (Caulerpa lentillifera) Density on the Water Quality and Growth Performance of Asian Seabass (Lates calcarifer) in a Polyculture System
by Roongparit Jongjaraunsuk, Kanokwan Khaodon, Saroj Rermdumri, Alongot Intarachart and Wara Taparhudee
Fishes 2025, 10(4), 163; https://doi.org/10.3390/fishes10040163 - 7 Apr 2025
Viewed by 821
Abstract
The nitrogen budget and the effects of varying densities of sea grape (Caulerpa lentillifera) on water quality and the growth performance of Asian seabass (Lates calcarifer) in a polyculture system were evaluated. Four treatments were tested, each stocked with [...] Read more.
The nitrogen budget and the effects of varying densities of sea grape (Caulerpa lentillifera) on water quality and the growth performance of Asian seabass (Lates calcarifer) in a polyculture system were evaluated. Four treatments were tested, each stocked with 20 fish (average weight: ~20 g; density: 2.66 kg/m3). Treatment 1 (control) contained no sea grapes, while treatments 2, 3, and 4 included 100, 200, and 400 g of sea grapes, corresponding to 0, 667 g/m3, 1333 g/m3, and 2666 g/m3, respectively. Significant (p < 0.05) reductions in total ammonia nitrogen (TAN), total suspended solids (TSS), and turbidity were observed with increasing sea grape density; however, no significant differences (p > 0.05) were found among the three sea grape treatments. Higher sea grape densities increased nitrite (NO2–N) and nitrate (NO3–N) concentrations due to enhanced nitrification. Approximately 65% of the nitrogen input originated from feed, but only 47.78–48.96% was assimilated into fish biomass. Nitrogen losses included 1.17–1.46% via water exchange and final drainage, while 45.27–50.76% was likely retained in sediments, volatilized, or lost through denitrification. Sea grapes effectively absorbed total nitrogen (TN), demonstrating their potential as biofilters for improving water quality without compromising fish growth performance. The optimal density was 100 g of sea grapes per 2.66 kg/m3 of seabass biomass, offering a sustainable strategy to enhance productivity while mitigating environmental impacts. Full article
(This article belongs to the Section Sustainable Aquaculture)
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18 pages, 2671 KiB  
Article
Responses of Nitrogen Metabolism Pathways to Low-Phosphorus Stress: Decrease in Nitrogen Accumulation and Alterations in Protein Metabolism in Soybeans
by Yubo Yao and Xinlei Liu
Agronomy 2025, 15(4), 836; https://doi.org/10.3390/agronomy15040836 - 27 Mar 2025
Cited by 1 | Viewed by 596
Abstract
Phosphorus is an indispensable nutrient for nitrogen metabolism in soybeans. In this study, two P levels were established, 1 mg/L (low-P stress) and 31 mg/L (normal P, CK), by combining 15N labeling with real-time quantitative PCR and the UHPLC-MS/MS method, to analyze [...] Read more.
Phosphorus is an indispensable nutrient for nitrogen metabolism in soybeans. In this study, two P levels were established, 1 mg/L (low-P stress) and 31 mg/L (normal P, CK), by combining 15N labeling with real-time quantitative PCR and the UHPLC-MS/MS method, to analyze soybean nitrogen accumulation, 15N abundance, nodule nitrogen fixation accumulation, nodule nitrogen fixation rate, soluble protein content, the relative expression of phosphorus transporters, amino acid changes, and metabolic pathways. The impacts of phosphorus stress on soybean nitrogen metabolism were explored from the perspectives of nitrogen accumulation and protein metabolism. The results demonstrated that low-P stress promoted the absorption of fertilizer nitrogen by aboveground parts, roots, and nodules of soybeans. However, it significantly inhibited nitrogen accumulation (11.09–95.41%), nodule nitrogen fixation accumulation (21.54–96.21%), and nodule nitrogen fixation rate (2.95–37.75%). The soluble protein content in both leaves and nodules decreased remarkably, while the relative expression of GmPT7 was upregulated in leaves, roots, and nodules under low-P stress. A total of 70 amino acids exhibited alterations, among which 26 amino acids were involved in 37 metabolic pathways, playing a crucial role in regulating the effects of low-P stress on soybean nitrogen metabolism. This study identifies significant alterations in nitrogen accumulation, nodule nitrogen fixation, and the expression of phosphorus transporter genes, providing insights into the metabolic pathways involved in soybean’s adaptation to phosphorus deficiency. This research provides a solid theoretical foundation for further in-depth investigations into the physiological and molecular mechanisms of soybean response to low-P stress. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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24 pages, 3730 KiB  
Article
Thieno[2,3-b]pyridines as a Novel Strategy Against Cervical Cancer: Mechanistic Insights and Therapeutic Potential
by Monika Čikeš Botić, Sandra Marijan, Mila Radan, Ivana Novak, Mateo Glumac, Lisa I. Pilkington, Zdravko Odak, David Barker, Jóhannes Reynisson and Vedrana Čikeš Čulić
Int. J. Mol. Sci. 2025, 26(6), 2651; https://doi.org/10.3390/ijms26062651 - 14 Mar 2025
Viewed by 891
Abstract
Cervical cancer is the fourth leading cause of cancer mortality in women worldwide, with limited therapeutic options for advanced or recurrent cases. In this study, the effects of a recent thieno[2,3-b]pyridine derivative, (E)-3-amino-5-(3-bromophenyl)acryloyl)-N-(3-chloro-2-methylphenyl)-6-methylthieno[2,3-b]pyridine-2-carboxamide (compound 1), on [...] Read more.
Cervical cancer is the fourth leading cause of cancer mortality in women worldwide, with limited therapeutic options for advanced or recurrent cases. In this study, the effects of a recent thieno[2,3-b]pyridine derivative, (E)-3-amino-5-(3-bromophenyl)acryloyl)-N-(3-chloro-2-methylphenyl)-6-methylthieno[2,3-b]pyridine-2-carboxamide (compound 1), on two cervical cancer cell lines, HeLa and SiHa, are investigated. Cytotoxicity was assessed by MTT assay, apoptosis rates were measured by flow cytometry, and metabolic profiling was performed by GC-MS. The study also examined the expression of eight glycosphingolipids (GSLs) in cancer stem cells (CSCs) and non-CSCs to assess glycophenotypic changes. Compound 1 showed significant cytotoxicity in both cell lines, with apoptosis identified as the primary mechanism of cell death. A significant reduction in the CSC population was observed, particularly in the SiHa cell line. Compound 1 treatment altered GSL expression and decreased GM2 levels in both CSCs and non-CSCs in the SiHa cell line and Gg3Cer levels in the HeLa cell line. Metabolic profiling identified 23 and 21 metabolites in the HeLa and SiHa cell lines, respectively, with significant differences in metabolite expression after treatment. These results underscore the potential of compound 1 as a promising therapeutic candidate for cervical cancer and warrant further investigation in preclinical and clinical settings. Full article
(This article belongs to the Special Issue Gynecological Cancer 2024)
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33 pages, 21153 KiB  
Article
South China Sea SST Fronts, 2015–2022
by Igor M. Belkin and Yi-Tao Zang
Remote Sens. 2025, 17(5), 817; https://doi.org/10.3390/rs17050817 - 27 Feb 2025
Viewed by 1091
Abstract
High-resolution (2 km), high-frequency (hourly) SST data of the Advanced Himawari Imager (AHI) flown onboard the Japanese Himawari-8 geostationary satellite were used to derive the monthly climatology of temperature fronts in the South China Sea. The SST data from 2015 to 2022 were [...] Read more.
High-resolution (2 km), high-frequency (hourly) SST data of the Advanced Himawari Imager (AHI) flown onboard the Japanese Himawari-8 geostationary satellite were used to derive the monthly climatology of temperature fronts in the South China Sea. The SST data from 2015 to 2022 were processed with the Belkin–O’Reilly algorithm to generate maps of SST gradient magnitude GM. The GM maps were log-transformed to enhance contrasts in digital maps and reveal additional features (fronts). The combination of high-resolution, cloud-free, four-day-composite SST imagery from AHI, the advanced front-preserving gradient algorithm BOA, and digital contrast enhancement with the log-transformation of SST gradients allowed us to identify numerous mesoscale/submesoscale fronts (including a few fronts that have never been reported) and document their month-to-month variability and spatial patterns. The spatiotemporal variability of SST fronts was analyzed in detail in five regions: (1) In the Taiwan Strait, six fronts were identified: the China Coastal Front, Taiwan Bank Front, Changyun Ridge Front, East Penghu Channel Front, and Eastern/Western Penghu Islands fronts; (2) the Guangdong Shelf is dominated by the China Coastal Front in winter, with the eastern and western Guangdong fronts separated by the Pearl River outflow in summer; (3) Hainan Island is surrounded by upwelling fronts of various nature (wind-driven coastal and topographic) and tidal mixing fronts; in the western Beibu Gulf, the Red River Outflow Front extends southward as the Vietnam Coastal Front, while the northern Beibu Gulf features a tidal mixing front off the Guangxi coast; (4) Off SE Vietnam, the 11°N coastal upwelling gives rise to a summertime front, while the Mekong Outflow and associated front extend seasonally toward Cape Camau, close to the Gulf of Thailand Entrance Front; (5) In the Luzon Strait, the Kuroshio Front manifests as a chain of three fronts across the Babuyan Islands, while west of Luzon Island a broad offshore frontal zone persists in winter. The summertime eastward jet (SEJ) off SE Vietnam is documented from five-day mean SST data. The SEJ emerges in June–September off the 11°N coastal upwelling center and extends up to 114°E. The zonally oriented SEJ is observed to be located between two large gyres, each about 300 km in diameter. Full article
(This article belongs to the Section Ocean Remote Sensing)
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22 pages, 3998 KiB  
Article
User Need Prediction Based on a Small Amount of User-Generated Content—A Case Study of the Xiaomi SU7
by Lingling Liu and Biao Ma
World Electr. Veh. J. 2024, 15(12), 584; https://doi.org/10.3390/wevj15120584 - 19 Dec 2024
Cited by 3 | Viewed by 2077
Abstract
(1) Background: In the current competitive market environment, accurately forecasting user needs is crucial for business success. By analyzing user-generated content (UGC) on social network platforms, enterprises can mine potential user needs and discern shifts in these needs, thereby enabling more efficient and [...] Read more.
(1) Background: In the current competitive market environment, accurately forecasting user needs is crucial for business success. By analyzing user-generated content (UGC) on social network platforms, enterprises can mine potential user needs and discern shifts in these needs, thereby enabling more efficient and precise product design that aligns with user needs. For newly launched products with a limited presence in the market, the scarcity of UGC poses a challenge to businesses seeking to predict user needs from small datasets. (2) Methods: To address this challenge, this paper proposes a model using correlation analysis (CA) and linear regression (LR) combined with multidimensional gray prediction (a CA-LR-GM (1, N) model) to help enterprises use small sample data to predict user needs. Using the UGC of the Xiaomi SU7 as a case study, this paper demonstrates the prediction of user needs for the vehicle and refines the prediction outcomes through an optimization design informed by the principle of optimal key feature distribution. (3) Results: The findings validate the feasibility of the proposed theoretical framework, offering a technical solution for the identification and prediction of user need trends. (4) Conclusions: This research puts forward strategic recommendations for enterprises regarding the optimization of their products. Full article
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17 pages, 7316 KiB  
Article
A Virulence Factor from Sclerotinia sclerotiorum Targets the Host Chloroplast Proteins to Promote Infection
by Wenjing Cui, Kunqin Xiao, Feng Yang, Kaibin Qiao, Xun Xu, Songyang Gu, Jinxin Guo, Zhuojian Song, Hongyu Pan, Fengting Wang, Yanhua Zhang and Jinliang Liu
Plants 2024, 13(23), 3430; https://doi.org/10.3390/plants13233430 - 6 Dec 2024
Cited by 1 | Viewed by 1234
Abstract
Chloroplasts are not only places for photosynthesis, but also participate in plant immunity and are important targets of pathogens. Pathogens secrete chloroplast-targeted proteins (CTPs) that disrupt host immunity and promote infection. Sclerotinia sclerotiorum (Lib.) de Bary is a phytopathogenic fungus with a broad [...] Read more.
Chloroplasts are not only places for photosynthesis, but also participate in plant immunity and are important targets of pathogens. Pathogens secrete chloroplast-targeted proteins (CTPs) that disrupt host immunity and promote infection. Sclerotinia sclerotiorum (Lib.) de Bary is a phytopathogenic fungus with a broad host range. However, little is known about the pathogenic mechanisms underlying this wide host range. In this study, we investigated the role of Chloroplast-Targeted Protein 1 (SsCTP1) secreted by S. sclerotiorum in pathogenesis, which inhibits plant immunity and promotes pathogen infections. SsCTP1 was highly up-regulated during the early stages of S. sclerotiorum infection in various hosts, and its transient expression in Nicotiana benthamiana revealed that it was predominantly localized within chloroplasts. Mutants with SsCTP1 deletion exhibited a similar growth rate and colony morphology to the wild type, but significantly reduced pathogenicity in various hosts. Moreover, SsCTP1 inhibited chitin-induced callose deposition and defense gene expression, and enhanced sensitivity to S. sclerotiorum in N. benthamiana. Similarly, transgenic Arabidopsis thaliana overexpressing SsCTP1 displayed an increased susceptibility to S. sclerotiorum. Furthermore, two host proteins that interact with SsCTP1, Coproporphyrinogen-III oxidase (GmCPX), and shikimate kinase 2 (GmSKL2) were identified by screening the soybean cDNA library, and these interactions were confirmed in vivo. Importantly, the silencing of NbCPX by virus-induced gene silencing enhanced N. benthamiana resistance to S. sclerotiorum. Our results indicate that SsCTP1 is an important pathogenic factor that contributes to the wide host range of S. sclerotiorum and may inhibit plant immunity by targeting the chloroplast proteins GmCPX and GmSKL2, which are ubiquitous in host plants. Full article
(This article belongs to the Special Issue Plant Pathology and Epidemiology for Grain, Pulses, and Cereal Crops)
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13 pages, 1777 KiB  
Article
Ferulic Acid Ameliorates L-Methionine-Induced Hyperhomocysteinemia in Rats
by Sunita Bhise, Urmila Aswar, Akash Jadhav, Manoj Aswar and Ankit Ganeshpurkar
Drugs Drug Candidates 2024, 3(4), 694-706; https://doi.org/10.3390/ddc3040039 - 9 Oct 2024
Viewed by 1200
Abstract
Background/Objectives: Elevated plasma homocysteine levels constitute a risk factor for vascular and cardiovascular disorders. Ferulic acid (FA), a polyphenol is tested on L-methionine-induced hyperhomocysteinemia (hHcy). The present study investigated the protective effect of ferulic acid (FA) on hyperhomocysteinemia (hHcy) induced changes in hemodynamic, [...] Read more.
Background/Objectives: Elevated plasma homocysteine levels constitute a risk factor for vascular and cardiovascular disorders. Ferulic acid (FA), a polyphenol is tested on L-methionine-induced hyperhomocysteinemia (hHcy). The present study investigated the protective effect of ferulic acid (FA) on hyperhomocysteinemia (hHcy) induced changes in hemodynamic, biochemical, anti-oxidant, anti-inflammatory parameters as well as histopathological changes in abdominal aorta and heart. Methodology: The Wistar rats were divided into six groups (n = 6) and treated orally for 36 days. The rats were treated with Met (1 gm/kg) to induce Hcy. They were treated with either standard (Vit. B12 + Folic acid; 15 + 70 mg) or test FA (20/40/60 mg/kg, respectively) post-Met treatment. Homocysteine, cholesterol, lactate dehydrogenase (LDH), creatinine kinase (CK-MB), and liver enzymes were estimated in blood followed by the measurement of hemodynamic parameters. The liver was estimated for antioxidant parameters and nitric oxide (NO). Heart and abdominal aorta were studied histopathologically. Result: Diseased rats showed increased Hcy, cholesterol, LDH, CK-MB, alanine transaminase (ALT), aspartate transaminase (AST), malondialdehyde (MDA), NO, and reduced glutathione (GSH). Following FA treatment, these parameters returned to normal. Atherosclerotic lesions in the aorta were observed in the hHcy group; however, in the FA treatment groups, they were lessened. Conclusions: Ferulic acid reduces oxidative and nitrosive stress, thereby reducing hypercyteinemia and improving the lipid profile. It might be acting by increasing the activity of methylation dependent on S-adenosylmethionine (SAM)/S-adenosylhomocysteine (SAH), which in turn prevents the formation of Hcy and reduces hHcy. The docking study supports these findings. Full article
(This article belongs to the Section Preclinical Research)
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18 pages, 4594 KiB  
Article
Study on Associations between Root and Aboveground Growth of Mixed-Planting Seedlings of Populus tomentosa and Pinus tabuliformis under Soil Nutrient Heterogeneity
by Xi Wei, Jiafeng Yao, Yu Guo, Xiang Sui, Xiao Lv, Xiaoman Liu, Yuan Dong and Wenjun Liang
Forests 2024, 15(7), 1151; https://doi.org/10.3390/f15071151 - 2 Jul 2024
Cited by 2 | Viewed by 1545
Abstract
Near-natural transformation can convert artificial monoculture forests into mixed forests with diverse ages, multi-layered structures, and enhanced ecological functions. This transformation optimizes stand structure, improves soil physical and chemical properties, and enhances stand productivity and species diversity. This study aimed to explore the [...] Read more.
Near-natural transformation can convert artificial monoculture forests into mixed forests with diverse ages, multi-layered structures, and enhanced ecological functions. This transformation optimizes stand structure, improves soil physical and chemical properties, and enhances stand productivity and species diversity. This study aimed to explore the relationship between the underground roots and aboveground growth of Pinus tabuliformis and Populus tomentosa under conditions of nutrient heterogeneity, with the goal of advancing plantation transformation. This research focused on 1-year-old Populus tomentosa and 5-year-old Pinus tabuliformis, employing two planting densities (25 cm and 50 cm) and three fertilization levels, low (50 g·m−2), medium (100 g·m−2), and high (200 g·m−2), using Stanley Potassium sulfate complex fertilizer (N:P:K = 15:15:15). Each treatment had three replicates, resulting in a total of nine experimental groups, all planted in circular plots with a radius of 1 m. Standard major axis (SMA) regression was used to analyze the allometric relationship between underground fine root biomass and aboveground organ biomass. This study further explored correlations between fine root length, root surface area, volume, biomass, and aboveground biomass, culminating in a mixed-effects model. The mixed-effects model quantified the relationships between underground roots and aboveground growth in varying soil nutrient environments. The results indicated optimal root growth in Populus tomentosa and Pinus tabuliformis, characterized by maximum root length, surface area, and volume, under conditions of 200 g·m−2 soil nutrient concentration and 50 cm planting distance; Populus tomentosa fine roots had a vertical center at a depth of 8.5 cm, whereas Pinus tabuliformis roots were centered at depths of 5–7.5 cm, indicating differing competitive strategies. Pinus tabuliformis exhibited competitive superiority in the soil’s surface layer, in contrast to Populus tomentosa, which thrived in deeper layers. The study of the allometric growth model revealed that under conditions where the nutrient gradient was 200 g·m−2 and the planting distance was 25 cm, Populus tomentosa demonstrated its highest allometric growth index (2.801), indicative of positive allometric growth. Furthermore, there was a notable inclination of resource allocation towards the aboveground, which enhances the accumulation of aboveground biomass. The mixed-effects model equation showed a clear linear relationship between underground roots and aboveground biomass. The final fitting coefficient of the model was high, providing a robust theoretical basis for future management practices. The mixed-effects model revealed the following hierarchy of fixed-effect coefficients for root system characteristics affecting aboveground biomass: fine root volume (132.11) > fine root biomass (6.462) > root surface area (−4.053) > fine root length (0.201). In subsequent plantation reconstruction and forest management, increasing soil fertility and planting distance can promote the growth of underground roots and biomass accumulation. Appropriately increasing soil fertility and reducing planting distance can effectively promote aboveground biomass accumulation, achieving sustainable forest development. Full article
(This article belongs to the Section Forest Soil)
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13 pages, 629 KiB  
Article
Burning Mouth Syndrome Treated with Low-Level Laser and Clonazepam: A Randomized, Single-Blind Clinical Trial
by Ana Garcia Martinez, Pia Lopez-Jornet, Luis Pardo Marin, Eduardo Pons-Fuster and Asta Tvarijonaviciute
Biomedicines 2024, 12(5), 1048; https://doi.org/10.3390/biomedicines12051048 - 9 May 2024
Cited by 4 | Viewed by 3564
Abstract
Objective: Burning mouth syndrome (BMS) is a chronic pain disorder characterized by intraoral burning or dysaesthetic sensation, with the absence of any identifiable lesions. Numerous treatments for BMS have been investigated, though without conclusive results. An analysis was conducted of the efficacy of [...] Read more.
Objective: Burning mouth syndrome (BMS) is a chronic pain disorder characterized by intraoral burning or dysaesthetic sensation, with the absence of any identifiable lesions. Numerous treatments for BMS have been investigated, though without conclusive results. An analysis was conducted of the efficacy of treatment with a low-level diode laser and clonazepam in patients with BMS, and a study was carried out on the levels of different salivary biomarkers before and after treatment. Material and methods: A randomized, single-blind clinical trial was carried out involving 89 patients divided into the following groups: group 1 (laser, The Helbo® Theralite Laser 3D Pocket Probe + clonazepam) (n = 20), group 2 (sham laser placebo) (n = 19), group 3 (laser) (n = 21) and group 4 (clonazepam) (n = 18). Symptom intensity was scored based on a visual analogue scale (VAS). Sialometry was performed before and after treatment, and the Xerostomia Inventory, Oral Health Impact Profile-14 (OHIP-14) and Mini-Nutritional Assessment (MNA) questionnaires were administered. The following markers were measured in saliva samples: interleukins (IL2, IL4, IL5, IL6, IL7, IL8, IL1β, IL10, IL12, IL13, IL17, IL21 and IL23), proteins (MIP-3α, MIP-1α and MIP-1β), GM-CSF, interferon gamma (IFNγ), interferon-inducible T-cell alpha chemoattractant (ITAC), fractalkine and tumor necrosis factor α (TNFα). Results: A significant decrease in the VAS scores was observed after treatment in group 1 (laser + clonazepam) (p = 0.029) and group 3 (laser) (p = 0.005). In turn, group 3 (laser) showed a decrease in the salivary concentration of fractalkine (p = 0.025); interleukins IL12 (p = 0.048), IL17 (p = 0.020), IL21 (p = 0.008), IL7 (p = 0.001) and IL8 (p = 0.007); proteins MIP1α (p = 0.048) and MIP1β (p = 0.047); and TNFα (p = 0.047) versus baseline. Following treatment, group 1 (laser + clonazepam) showed significant differences in IL21 (p = 0.045) and IL7 (p = 0.009) versus baseline, while group 4 (clonazepam) showed significant differences in IL13 (p = 0.036), IL2 (p = 0.020) and IL4 (p = 0.001). No significant differences were recorded in group 2 (sham laser placebo). Conclusions: The low-level diode laser is a good treatment option in BMS, resulting in a decrease in patient symptoms and in salivary biomarkers. However, standardization of the intervention protocols and laser intensity parameters is needed in order to draw more firm conclusions. Full article
(This article belongs to the Section Molecular Genetics and Genetic Diseases)
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