Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (60,218)

Search Parameters:
Keywords = RAPID

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
11 pages, 260 KB  
Article
Evaluation of the NG-Test CARBA 5 for Rapid Detection of Carbapenemases in Clinical Isolates of Klebsiella pneumoniae
by Bojan Rakonjac, Momčilo Djurić, Danijela Djurić-Petković, Jelena Dabić, Marko Simonović, Marija Milić and Aleksandra Arsović
Antibiotics 2025, 14(10), 989; https://doi.org/10.3390/antibiotics14100989 - 2 Oct 2025
Abstract
Background: Carbapenem-resistant Klebsiella pneumoniae (CRKp) is a critical global health threat due to its multidrug resistance, primarily driven by carbapenemase production. Rapid and accurate detection of carbapenemases is essential for effective treatment and infection control. This study evaluates the validity of the NG-Test [...] Read more.
Background: Carbapenem-resistant Klebsiella pneumoniae (CRKp) is a critical global health threat due to its multidrug resistance, primarily driven by carbapenemase production. Rapid and accurate detection of carbapenemases is essential for effective treatment and infection control. This study evaluates the validity of the NG-Test CARBA 5, a rapid immunochromatographic assay, for detecting five major carbapenemases (KPC, NDM, VIM, IMP, OXA-48-like) in clinical CRKp isolates. Methods: Clinical isolates of CRKp were collected from various clinical specimens at the Military Medical Academy in Belgrade, Serbia, between January 2023 and October 2024. Detection of carbapenemases was performed using NG-Test CARBA 5, while PCR served as the reference method. Diagnostic performance was assessed by calculating sensitivity, specificity, and Cohen’s kappa coefficient. Results: Among 312 isolates, OXA-48-like was the most prevalent carbapenemase. NG-Test CARBA 5 showed high sensitivity (98.7%) and specificity (100%) overall, with excellent agreement for NDM (κ = 0.947), OXA-48-like (κ = 0.957), and KPC (κ = 0.978). However, it failed to detect VIM in five PCR-positive isolates, suggesting potential limitations. Conclusions: NG-Test CARBA 5 is a rapid and reliable tool for detecting major carbapenemases in CRKp, though its performance for VIM detection requires further investigation. This assay has the potential to improve clinical diagnostics and strengthen infection control in settings with high antimicrobial resistance. Full article
16 pages, 13271 KB  
Article
Smartphone-Based Estimation of Cotton Leaf Nitrogen: A Learning Approach with Multi-Color Space Fusion
by Shun Chen, Shizhe Qin, Yu Wang, Lulu Ma and Xin Lv
Agronomy 2025, 15(10), 2330; https://doi.org/10.3390/agronomy15102330 - 2 Oct 2025
Abstract
To address the limitations of traditional cotton leaf nitrogen content estimation methods, which include low efficiency, high cost, poor portability, and challenges in vegetation index acquisition owing to environmental interference, this study focused on emerging non-destructive nutrient estimation technologies. This study proposed an [...] Read more.
To address the limitations of traditional cotton leaf nitrogen content estimation methods, which include low efficiency, high cost, poor portability, and challenges in vegetation index acquisition owing to environmental interference, this study focused on emerging non-destructive nutrient estimation technologies. This study proposed an innovative method that integrates multi-color space fusion with deep and machine learning to estimate cotton leaf nitrogen content using smartphone-captured digital images. A dataset comprising smartphone-acquired cotton leaf images was processed through threshold segmentation and preprocessing, then converted into RGB, HSV, and Lab color spaces. The models were developed using deep-learning architectures including AlexNet, VGGNet-11, and ResNet-50. The conclusions of this study are as follows: (1) The optimal single-color-space nitrogen estimation model achieved a validation set R2 of 0.776. (2) Feature-level fusion by concatenation of multidimensional feature vectors extracted from three color spaces using the optimal model, combined with an attention learning mechanism, improved the validation R2 to 0.827. (3) Decision-level fusion by concatenating nitrogen estimation values from optimal models of different color spaces into a multi-source decision dataset, followed by machine learning regression modeling, increased the final validation R2 to 0.830. The dual fusion method effectively enabled rapid and accurate nitrogen estimation in cotton crops using smartphone images, achieving an accuracy 5–7% higher than that of single-color-space models. The proposed method provides scientific support for efficient cotton production and promotes sustainable development in the cotton industry. Full article
(This article belongs to the Special Issue Crop Nutrition Diagnosis and Efficient Production)
Show Figures

Figure 1

29 pages, 435 KB  
Article
Public Debt, Oil Rent, and Financial Development in MENA Countries: A Fractional Response Model Approach (FRM)
by Mashael Fahad Alkhurayji and Hamed Mohammed Alhoshan
Economies 2025, 13(10), 288; https://doi.org/10.3390/economies13100288 - 2 Oct 2025
Abstract
The rapid accumulation of public debt raises global concern over its implications for financial markets. This study examines the effect of domestic public debt on financial development in Middle East and North Africa (MENA) countries, a region marked by sharp heterogeneity in institutions, [...] Read more.
The rapid accumulation of public debt raises global concern over its implications for financial markets. This study examines the effect of domestic public debt on financial development in Middle East and North Africa (MENA) countries, a region marked by sharp heterogeneity in institutions, debt dynamics, and oil dependence, using annual panel data for 16 countries over the period (2000–2020). Our analysis employs a fractional response model (FRM), which accounts for the bounded nature of the dependent variable, corrects for heteroskedasticity, and incorporates country fixed effects. The findings reveal a significant negative effect of domestic public debt on financial development, consistent with the lazy banks and crowding-out hypotheses. This adverse relationship persists across different income groups and debt percentiles, with modest attenuation at higher debt levels. Oil rents are also found to exert a robust negative effect, highlighting the structural vulnerabilities associated with oil dependence. These results emphasize the importance of debt management, fiscal frameworks that account for commodity cycles, and policies to reduce the sovereign–bank nexus in fostering sustainable financial development in the region. Full article
(This article belongs to the Section Macroeconomics, Monetary Economics, and Financial Markets)
15 pages, 14001 KB  
Article
Single-Step Engineered Gelatin-Based Hydrogel for Integrated Prevention of Postoperative Adhesion and Promotion of Wound Healing
by Xinyu Wu, Lei Sun, Jianmei Chen, Meiling Su and Zongguang Liu
Gels 2025, 11(10), 797; https://doi.org/10.3390/gels11100797 - 2 Oct 2025
Abstract
Postoperative adhesion remains a major clinical challenge, often leading to chronic pain, functional disorders, and recurrent surgeries. Herein, we developed a multifunctional gelatin–polyphenol hydrogel (GPP20) featuring rapid gelation (within 5 min), strong tissue adhesion (lasting > 24 h under physiological conditions), and intrinsic [...] Read more.
Postoperative adhesion remains a major clinical challenge, often leading to chronic pain, functional disorders, and recurrent surgeries. Herein, we developed a multifunctional gelatin–polyphenol hydrogel (GPP20) featuring rapid gelation (within 5 min), strong tissue adhesion (lasting > 24 h under physiological conditions), and intrinsic wound healing capacity to achieve integrated prevention of postoperative adhesion. GPP20 was fabricated via dynamic crosslinking between gelatin and tea polyphenol, endowing it with injectability, self-healing, biodegradability, and excellent mechanical properties (shear stress of 14.2 N). In vitro studies demonstrated that GPP20 exhibited effective ROS scavenging (82% ABTS scavenging capability), which protects cells against oxidative stress, while possessing excellent hemocompatibility and in vivo safety. Notably, GPP20 significantly reduced postoperative cecum–abdominal wall adhesions through both physical barrier effects and modulation of inflammation and collagen deposition, demonstrating a comprehensive integrated prevention strategy. Furthermore, in full-thickness wound models, GPP20 accelerated tissue regeneration (85% wound closure rate on day 10) by promoting macrophage polarization toward the M2 phenotype and stimulating angiogenesis, thereby enhancing collagen deposition and re-epithelialization. Collectively, these findings demonstrate that GPP20 integrates anti-adhesion efficacy with regenerative support, offering a facile and clinically translatable strategy for postoperative care and wound healing. Full article
(This article belongs to the Special Issue Advances in Functional Gel (3rd Edition))
Show Figures

Figure 1

14 pages, 3412 KB  
Article
MoS2 Nanoflower-Based Colorimetric and Photothermal Dual-Mode Lateral Flow Immunoassay for Highly Sensitive Detection of Pathogens
by Meimei Xu, Shuai Zhao, Yusi Peng and Yong Yang
Biosensors 2025, 15(10), 661; https://doi.org/10.3390/bios15100661 - 2 Oct 2025
Abstract
The single colorimetric signal readout mode of traditional lateral flow immunoassay (LFIA), which relies on gold nanoparticles (Au NPs), is inadequate to meet the growing demand for detection in terms of sensitivity, accuracy, and flexibility. Herein, we reported a novel colorimetric and photothermal [...] Read more.
The single colorimetric signal readout mode of traditional lateral flow immunoassay (LFIA), which relies on gold nanoparticles (Au NPs), is inadequate to meet the growing demand for detection in terms of sensitivity, accuracy, and flexibility. Herein, we reported a novel colorimetric and photothermal dual-mode LFIA (dLFIA) based on MoS2 nanoflowers for rapid detection of severe acute respiratory syndrome coronavirus 2 nucleocapsid protein (SARS-CoV-2 NP). Benefiting from the strong color-producing ability and near-infrared absorption of MoS2 nanoflowers, the visual limits of detection in colorimetric and photothermal modes were 1 and 0.1 ng/mL, respectively. The limit of detection for quantitative analysis in photothermal mode was 48 pg/mL, with a sensitivity about 10~208 times higher than that of Au NPs-LFIA. Additionally, the dLFIA strips exhibited excellent specificity, good reproducibility, and satisfactory recovery when detected the simulated nasal swab samples, possessing good application prospect. Full article
(This article belongs to the Special Issue Nanomaterial-Based Biosensors for Point-of-Care Testing)
Show Figures

Figure 1

21 pages, 2264 KB  
Article
Thermodynamic Determinants in Antibody-Free Nucleic Acid Lateral Flow Assays (AF-NALFA): Lessons from Molecular Detection of Listeria monocytogenes, Mycobacterium leprae and Leishmania amazonensis
by Leonardo Lopes-Luz, Paula Correa Neddermeyer, Gabryele Cardoso Sampaio, Luana Michele Alves, Matheus Bernardes Torres Fogaça, Djairo Pastor Saavedra, Mariane Martins de Araújo Stefani and Samira Bührer-Sékula
Biomolecules 2025, 15(10), 1404; https://doi.org/10.3390/biom15101404 - 2 Oct 2025
Abstract
Antibody-free nucleic acid lateral flow assays (AF-NALFA) are an established approach for rapid detection of amplified pathogens DNA but can yield inconsistent signals across targets. Since AF-NALFA depends on dual hybridization of probes to single-stranded amplicons (ssDNA), site-specific thermodynamic (Gibbs free energy-ΔG) at [...] Read more.
Antibody-free nucleic acid lateral flow assays (AF-NALFA) are an established approach for rapid detection of amplified pathogens DNA but can yield inconsistent signals across targets. Since AF-NALFA depends on dual hybridization of probes to single-stranded amplicons (ssDNA), site-specific thermodynamic (Gibbs free energy-ΔG) at probe-binding regions may be crucial for performance. This study investigated how site-specific-ΔG and sequence complementarity at probe-binding regions determine Test-line signal generation, comparing native and synthetic amplicons and assessing the effects of local secondary structures and mismatches. Asymmetric PCR-generated ssDNA amplicons of Listeria monocytogenes, Mycobacterium leprae, and Leishmania amazonensis were analyzed in silico and tested in AF-NALFA prototypes with gold-labeled thiol probes and biotinylated capture probes. T-line signals were photographed, quantified (ImageJ version 1.4k), and statistically correlated with site-specific-ΔG. While native ssDNA from M. leprae and L. amazonensis failed to produce AF-NALFA T-line signals, L. monocytogenes yielded strong detection. Site-specific-ΔG below −10 kcal/mol correlated with reduced hybridization. Synthetic oligos preserved signals despite structural constraints, whereas ~3–4 mismatches, especially at capture probe regions, markedly impaired T-line intensity. The performance of AF-NALFA depends on the synergism between thermodynamic accessibility, site-specific-ΔG-induced site constraints, and sequence complementarity. Because genomic context affects hybridization, target-specific thermodynamic in silico evaluation is necessary for reliable pathogen DNA detection. Full article
(This article belongs to the Section Molecular Biology)
Show Figures

Figure 1

15 pages, 2373 KB  
Article
LLM-Empowered Kolmogorov-Arnold Frequency Learning for Time Series Forecasting in Power Systems
by Zheng Yang, Yang Yu, Shanshan Lin and Yue Zhang
Mathematics 2025, 13(19), 3149; https://doi.org/10.3390/math13193149 - 2 Oct 2025
Abstract
With the rapid evolution of artificial intelligence technologies in power systems, data-driven time-series forecasting has become instrumental in enhancing the stability and reliability of power systems, allowing operators to anticipate demand fluctuations and optimize energy distribution. Despite the notable progress made by current [...] Read more.
With the rapid evolution of artificial intelligence technologies in power systems, data-driven time-series forecasting has become instrumental in enhancing the stability and reliability of power systems, allowing operators to anticipate demand fluctuations and optimize energy distribution. Despite the notable progress made by current methods, they are still hindered by two major limitations: most existing models are relatively small in architecture, failing to fully leverage the potential of large-scale models, and they are based on fixed nonlinear mapping functions that cannot adequately capture complex patterns, leading to information loss. To this end, an LLM-Empowered Kolmogorov–Arnold frequency learning (LKFL) is proposed for time series forecasting in power systems, which consists of LLM-based prompt representation learning, KAN-based frequency representation learning, and entropy-oriented cross-modal fusion. Specifically, LKFL first transforms multivariable time-series data into text prompts and leverages a pre-trained LLM to extract semantic-rich prompt representations. It then applies Fast Fourier Transform to convert the time-series data into the frequency domain and employs Kolmogorov–Arnold networks (KAN) to capture multi-scale periodic structures and complex frequency characteristics. Finally, LKFL integrates the prompt and frequency representations through an entropy-oriented cross-modal fusion strategy, which minimizes the semantic gap between different modalities and ensures full integration of complementary information. This comprehensive approach enables LKFL to achieve superior forecasting performance in power systems. Extensive evaluations on five benchmarks verify that LKFL sets a new standard for time-series forecasting in power systems compared with baseline methods. Full article
(This article belongs to the Special Issue Artificial Intelligence and Data Science, 2nd Edition)
Show Figures

Figure 1

17 pages, 4833 KB  
Article
Lactoferrin-Loaded Liposomal Nanoparticles: Enhanced Intestinal Stability and Bioactivity for Mitigating Radiation-Induced Intestinal Injury
by Yingying Lin, Rui Ding, Yuning Zhang, Yimeng Wang, Sijia Song and Huiyuan Guo
Foods 2025, 14(19), 3410; https://doi.org/10.3390/foods14193410 - 2 Oct 2025
Abstract
Radiation-induced intestinal injury (RIII), a severe complication of abdominopelvic radiotherapy, causes intestinal ischemia, ulcers, and necrosis, severely impacting patients’ quality of life. Currently, effective treatments are limited, and a specific cure remains elusive. Our previous research showed that lactoferrin (LF) can promote intestinal [...] Read more.
Radiation-induced intestinal injury (RIII), a severe complication of abdominopelvic radiotherapy, causes intestinal ischemia, ulcers, and necrosis, severely impacting patients’ quality of life. Currently, effective treatments are limited, and a specific cure remains elusive. Our previous research showed that lactoferrin (LF) can promote intestinal stem cell (ISC) proliferation and tissue repair; however, its oral administration is limited by rapid degradation in the gastric environment. In this study, we developed LF-loaded liposomal nanoparticles (Lip-LF) using a simple ethanol injection method. The optimal formulation (cholesterol/egg yolk lecithin ratio 2:8, LF concentration 12.5 mg/mL) achieved a drug-loading capacity of 6.8% and a narrow size distribution (0.2 < PDI < 0.4). In vitro experiments demonstrated that Lip-LF protected LF from pepsin degradation in simulated gastric fluid (SGF), retaining over 80% integrity after 120 min, while releasing in simulated intestinal fluid (SIF). In vivo imaging revealed prolonged gastrointestinal retention of Lip-LF compared to free LF. In a murine model of RIII (12 Gy whole-body irradiation), Lip-LF significantly restored villus counts, increased crypt height, and promoted goblet-cell regeneration. Immunohistochemical and qPCR analyses revealed enhanced ISCs proliferation and upregulation of repair-associated genes, including Pcna and Olfm4. These findings demonstrate that Lip-LF protects LF from gastric degradation and enhances its targeted delivery to the intestine, improving its therapeutic efficacy in repairing RIII. Lip-LF thus offers a promising strategy for managing RIII. Full article
Show Figures

Graphical abstract

46 pages, 3207 KB  
Article
Evaluating the Usability and Ethical Implications of Graphical User Interfaces in Generative AI Systems
by Amna Batool and Waqar Hussain
Computers 2025, 14(10), 418; https://doi.org/10.3390/computers14100418 - 2 Oct 2025
Abstract
The rapid development of generative artificial intelligence (GenAI) has revolutionized how individuals and organizations interact with technology. These systems, ranging from conversational agents to creative tools, are increasingly embedded in daily life. However, their effectiveness relies heavily on the usability of their graphical [...] Read more.
The rapid development of generative artificial intelligence (GenAI) has revolutionized how individuals and organizations interact with technology. These systems, ranging from conversational agents to creative tools, are increasingly embedded in daily life. However, their effectiveness relies heavily on the usability of their graphical user interfaces (GUIs), which serve as the primary medium for user interaction. Moreover, the design of these interfaces must align with ethical principles such as transparency, fairness, and user autonomy to ensure responsible usage. This study evaluates the usability of GUIs for three widely-used GenAI applications, including ChatGPT (GPT-4), Gemini (1.5), and Claude (3.5 Sonnet) , using a heuristics-based and user-based testing approach (experimental-qualitative investigation). A total of 12 participants from a research organization in Australia, participated in structured usability evaluations, applying 14 usability heuristics to identify key issues and ethical concerns. The results indicate that Claude’s GUI is the most usable among the three, particularly due to its clean and minimalistic design. However, all applications demonstrated specific usability issues, such as insufficient error prevention, lack of shortcuts, and limited customization options, affecting the efficiency and effectiveness of user interactions. Despite these challenges, each application exhibited unique strengths, suggesting that while functional, significant enhancements are needed to fully support user satisfaction and ethical usage. The insights of this study can guide organizations in designing GenAI systems that are not only user-friendly but also ethically sound. Full article
22 pages, 8250 KB  
Article
Field Measurement and Characteristics Analysis of Transverse Load of High-Speed Train Bogie Frame
by Chengxiang Ji, Yuhe Gao, Zhiming Liu and Guangxue Yang
Machines 2025, 13(10), 905; https://doi.org/10.3390/machines13100905 - 2 Oct 2025
Abstract
This study investigates the transverse loads acting on high-speed train bogie frames under actual service conditions. To enable direct identification, the locating arms were instrumented as bending sensors and calibrated under realistic lateral-stop constraints, ensuring robustness of the measurement channels. Field tests were [...] Read more.
This study investigates the transverse loads acting on high-speed train bogie frames under actual service conditions. To enable direct identification, the locating arms were instrumented as bending sensors and calibrated under realistic lateral-stop constraints, ensuring robustness of the measurement channels. Field tests were conducted on a CR400BF high-speed EMU over a 226 km route at six speed levels (260–390 km/h), with gyroscope and GPS signals employed to recognize typical operating conditions, including straights, curves, and switches (straight movement and diverging movements). The results show that the proposed recognition method achieves high accuracy, enabling rapid and effective identification and localization of typical operating conditions. Under switch conditions, the bogie frame transverse loads are characterized by low-frequency, large-amplitude fluctuations, with overall RMS levels being higher in diverging switches and straight-through depot switches. Curve parameters and speed levels exert significant influence on the amplitude of the transverse-load trend component. On curves with identical parameters, the trend-component amplitude exhibits a quadratic nonlinear relationship with train speed, decreasing first and then increasing in the opposite direction as speed rises. In mainline curves and straight sections, the RMS values of transverse loads on Axles 1 and 2 scale proportionally with speed level, with the leading axle in the direction of travel consistently producing higher transverse loads than the trailing axle. When load samples are balanced across both running directions, the transverse load spectra of Axles 1 and 2 at the same speed level show negligible differences, while the spectrum shape index increases proportionally with speed level. Full article
(This article belongs to the Section Vehicle Engineering)
Show Figures

Figure 1

22 pages, 558 KB  
Review
Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology
by Steffen Baumann, Richard T. Stone and Esraa Abdelall
Sensors 2025, 25(19), 6067; https://doi.org/10.3390/s25196067 - 2 Oct 2025
Abstract
The rapid growth of AI-enabled medical wearables and home-based diagnostic devices has opened new pathways for preventive care, chronic disease management and user-driven health insights. Despite significant technological progress, many solutions face adoption hurdles, often due to usability challenges, episodic measurements and poor [...] Read more.
The rapid growth of AI-enabled medical wearables and home-based diagnostic devices has opened new pathways for preventive care, chronic disease management and user-driven health insights. Despite significant technological progress, many solutions face adoption hurdles, often due to usability challenges, episodic measurements and poor alignment with daily life. This review surveys the current landscape of at-home healthcare technologies, including wearable vital sign monitors, digital diagnostics and body composition assessment tools. We synthesize insights from the existing literature for this narrative review, highlighting strengths and limitations in sensing accuracy, user experience and integration into daily health routines. Special attention is given to the role of AI in enabling real-time insights, adaptive feedback and predictive monitoring across these devices. To examine persistent adoption challenges from a user-centered perspective, we reflect on the Pi-CON methodology, a conceptual framework previously introduced to stimulate discussion around passive, non-contact, and continuous data acquisition. While Pi-CON is highlighted as a representative methodology, recent external studies in multimodal sensing, RFID-based monitoring, and wearable–ambient integration confirm the broader feasibility of unobtrusive, passive, and continuous health monitoring in real-world environments. We conclude with strategic recommendations to guide the development of more accessible, intelligent and user-aligned smart healthcare solutions. Full article
Show Figures

Figure 1

16 pages, 3300 KB  
Article
Distribution Characteristics of Suspended Macroalgae in the Southern Yellow Sea Before the Green Tide Outbreak
by Weimin Yao, Yaoyao Lei, Shulin Tan, Yutao Qin, Huanhong Ji, Yuqing Sun, Jianheng Zhang and Jinlin Liu
Biology 2025, 14(10), 1347; https://doi.org/10.3390/biology14101347 - 2 Oct 2025
Abstract
For nearly two decades, the Yellow Sea has experienced recurrent green tides, which are now considered the largest of their kind globally; the mechanism behind these outbreaks remains highly complex and not fully understood. This study investigates the pre-outbreak distribution, abundance, and species [...] Read more.
For nearly two decades, the Yellow Sea has experienced recurrent green tides, which are now considered the largest of their kind globally; the mechanism behind these outbreaks remains highly complex and not fully understood. This study investigates the pre-outbreak distribution, abundance, and species composition of suspended macroalgae in the Southern Yellow Sea (SYS) during 2023–2024, along with environmental parameters. The results indicate that suspended macroalgae were predominantly distributed in the nearshore waters, particularly along the shallow beaches of northern Jiangsu. Furthermore, their abundance in the surface water layer significantly exceeded that in the bottom water. A total of 1353 and 493 algal filament samples were collected in 2023 and 2024, respectively. Dominant species included Ulva prolifera, Ulva linza, Ulva flexuosa, and Blidingia sp. Nutrient levels positively correlated with filament abundance. As a primary means of rapid proliferation for U. prolifera, suspended macroalgae contribute significantly to the initial expansion of green tides. Furthermore, their abundance holds promise as a biological indicator for forecasting the scale and extent of impending blooms, thereby providing a critical foundation for elucidating the underlying outbreak mechanisms. Full article
Show Figures

Figure 1

22 pages, 6989 KB  
Article
Evaluation of Passenger Train Safety in the Event of a Liquid Hydrogen Release from a Freight Train in a Tunnel Along an Italian High-Speed/High-Capacity Rail Line
by Ciro Caliendo, Isidoro Russo and Gianluca Genovese
Appl. Sci. 2025, 15(19), 10660; https://doi.org/10.3390/app151910660 - 2 Oct 2025
Abstract
The global shift towards cleaner energy sources is driving the adoption of hydrogen as an environmentally friendly alternative to fossil fuels. Among the forms currently available, Liquid Hydrogen (LH2) offers high energy density and efficient storage, making it suitable for large-scale [...] Read more.
The global shift towards cleaner energy sources is driving the adoption of hydrogen as an environmentally friendly alternative to fossil fuels. Among the forms currently available, Liquid Hydrogen (LH2) offers high energy density and efficient storage, making it suitable for large-scale transport by rail. However, the flammability of hydrogen poses serious safety concerns, especially when transported through confined spaces such as railway tunnels. In case of an accidental LH2 release from a freight train, the rapid accumulation and potential ignition of hydrogen could cause catastrophic consequences, especially if freight and passenger trains are present simultaneously in the same tunnel tube. In this study, a three-dimensional computational fluid dynamics model was developed to simulate the dispersion and explosion of LH2 following an accidental leak from a freight train’s cryo-container in a single-tube double-track railway tunnel, when a passenger train queues behind it on the same track. The overpressure results were analyzed using probit functions to estimate the fatality probabilities for the passenger train’s occupants. The analysis suggests that a significant number of fatalities could be expected among the passengers. However, shorter users’ evacuation times from the passenger train’s wagons and/or longer distances between the two types of trains might reduce the number of potential fatalities. The findings, by providing additional insight into the risks associated with LH2 transport in railway tunnels, indicate the need for risk mitigation measures and/or traffic management strategies. Full article
(This article belongs to the Section Civil Engineering)
Show Figures

Figure 1

17 pages, 630 KB  
Systematic Review
Comparison of Liver Venous Deprivation Versus Portal Vein Embolization in Patients with Liver Malignancies: A Systematic Review
by Menelaos Papakonstantinou, Areti Danai Gkaitatzi, Paraskevi Chatzikomnitsa, Vasileios Papagiannis, Vasileios N. Papadopoulos, Alexandros Giakoustidis and Dimitrios Giakoustidis
Livers 2025, 5(4), 48; https://doi.org/10.3390/livers5040048 - 2 Oct 2025
Abstract
Background: Liver cancer, either primary or metastatic, is a leading cause of cancer-related deaths and in many cases is presented in stages requiring major hepatectomy. Adequate future liver remnant (FLR) volume is essential before any major hepatectomy. Portal vein embolization (PVE) has long [...] Read more.
Background: Liver cancer, either primary or metastatic, is a leading cause of cancer-related deaths and in many cases is presented in stages requiring major hepatectomy. Adequate future liver remnant (FLR) volume is essential before any major hepatectomy. Portal vein embolization (PVE) has long been the standard technique for preoperative liver hypertrophy, but liver venous deprivation (LVD) has emerged as a novel method, potentially offering faster and superior results. The aim of this study is to compare FLR hypertrophy outcomes between LVD and PVE in patients undergoing major hepatectomy for liver malignancy. Methods: A systematic literature search was conducted across PubMed, Cochrane library, and clinicaltrials.gov for studies assessing FLR volume changes after LVD or PVE in patients with primary or secondary liver tumors undergoing liver resection. Data extraction was performed independently by two reviewers. The study protocol was registered in PROSPERO and was prepared according to the PRISMA guidelines. Results: Twelve retrospective cohort studies were included in this systematic review. Liver venous deprivation consistently demonstrated superior FLR hypertrophy, with a faster and higher percentage increase compared to PVE. Time to resection was also shorter in the LVD groups in most studies. Safety outcomes were comparable, with no consistent difference in post-procedural complications or mortality. Conclusions: Liver venous deprivation may potentially be a safe and effective alternative to PVE, offering more robust and rapid FLR hypertrophy with similar morbidity and mortality rates. While current evidence supports its superiority in selected patients, future validation with larger prospective clinical trials is essential before it can be adopted as standard management of patients with insufficient FLR volume. Full article
Show Figures

Figure 1

33 pages, 7432 KB  
Article
Risk Prioritization of RC Buildings in Bitlis (Türkiye) in the Light of the 2023 Kahramanmaraş Earthquakes
by Ercan Işık and Mert Hamamcıoğlu
Buildings 2025, 15(19), 3552; https://doi.org/10.3390/buildings15193552 - 2 Oct 2025
Abstract
Widespread casualties and property damage due to structural failures following devastating earthquakes have once again highlighted the critical significance of evaluating the seismic performance of existing buildings. In this context, a fundamental part of modern pre-disaster management is to evaluate the potential seismic [...] Read more.
Widespread casualties and property damage due to structural failures following devastating earthquakes have once again highlighted the critical significance of evaluating the seismic performance of existing buildings. In this context, a fundamental part of modern pre-disaster management is to evaluate the potential seismic risks of existing structures and implementing the necessary precautions. This study focuses on determining regional risk priorities using a rapid assessment methodology applied to a sample of reinforced-concrete (RC) structures in the Centre of Bitlis city, situated in the high-seismic-risk Lake Van Basin. Risk prioritization was made among the buildings based on the Turkish Rapid Assessment technique revised in 2019 for 100 different RC buildings with one to seven stories. The negative parameters utilized in this method were analyzed both in relation to the 6 February 2023, Kahramanmaraş earthquakes and the assessed building stock. Additionally, the study provides a comprehensive review of the existing building inventory across the region and offers recommendations for potential precautions to mitigate earthquake risks. Full article
(This article belongs to the Section Building Structures)
Show Figures

Figure 1

Back to TopTop