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12 pages, 2302 KiB  
Article
Edentulous Mandibles Restored with Fiber-Reinforced Composite Prostheses Supported by 5.0 mm Ultra-Short Implants: Ten-Year Follow-Up
by Giulia Petroni, Fabrizio Zaccheo, Cosimo Rupe and Andrea Cicconetti
Prosthesis 2025, 7(4), 94; https://doi.org/10.3390/prosthesis7040094 (registering DOI) - 1 Aug 2025
Viewed by 297
Abstract
Background/Objectives: This study aimed to assess the long-term clinical performance of full-arch fixed restorations made of fiber-reinforced composite (FRC) supported by four ultra-short implants (4.0 × 5.0 mm) in patients with edentulous, atrophic mandibles. Methods: Ten patients were treated at Sapienza University of [...] Read more.
Background/Objectives: This study aimed to assess the long-term clinical performance of full-arch fixed restorations made of fiber-reinforced composite (FRC) supported by four ultra-short implants (4.0 × 5.0 mm) in patients with edentulous, atrophic mandibles. Methods: Ten patients were treated at Sapienza University of Rome and monitored over a 10-year period. Each case involved the placement of four plateau-design implants with a pure conometric connection and a calcium phosphate-treated surface. The final prostheses were fabricated using CAD/CAM-milled Trinia® fiber-reinforced composite frameworks. Clinical parameters included implant and prosthesis survival, marginal bone level (MBL), peri-implant probing depth (PPD), and patient-reported outcome measures (PROMs). Results: Implant and prosthesis survival reached 100% over the 10-year follow-up. MBL data showed a minor bone gain of approximately 0.11 mm per 5 years (p < 0.0001). PPD remained stable under 3 mm, with a minimal increase of 0.16 mm over the same period (p < 0.0001). PROMs reflected sustained high patient satisfaction. No technical complications, such as chipping or framework fracture, were observed. Conclusions: Rehabilitation of the edentulous mandible with ultra-short implants and metal-free FRC prostheses proved to be a minimally invasive and long-lasting treatment option. The 10-year follow-up confirmed excellent implant and prosthetic outcomes, favorable peri-implant tissue health, and strong patient satisfaction. Nonetheless, further studies with larger sample sizes are needed to confirm these encouraging results and strengthen the clinical evidence. Full article
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18 pages, 1756 KiB  
Article
Ultra-Short-Term Wind Power Prediction Based on Fused Features and an Improved CNN
by Hui Li, Siyao Li, Hua Li and Liang Bai
Processes 2025, 13(7), 2236; https://doi.org/10.3390/pr13072236 - 13 Jul 2025
Viewed by 256
Abstract
It is difficult for a single feature in wind power data to fully reflect the multifactor coupling relationship with wind power, while the forecast model hyperparameters rely on empirical settings, which affects the prediction accuracy. In order to effectively predict the continuous power [...] Read more.
It is difficult for a single feature in wind power data to fully reflect the multifactor coupling relationship with wind power, while the forecast model hyperparameters rely on empirical settings, which affects the prediction accuracy. In order to effectively predict the continuous power in the future time period, an ultra-short-term prediction model of wind power based on fused features and an improved convolutional neural network (CNN) is proposed. Firstly, the historical power data are decomposed using dynamic modal decomposition (DMD) to extract their modal features. Then, considering the influence of meteorological factors on power prediction, the historical meteorological data in the sample data are extracted using kernel principal component analysis (KPCA). Finally, the decomposed power modal and the extracted meteorological components are reconstructed into multivariate time-series features; the snow ablation optimisation algorithm (SAO) is used to optimise the convolutional neural network (CNN) for wind power prediction. The results show that the root-mean-square error of the prediction result is 31.9% lower than that of the undecomposed one after using DMD decomposition; for the prediction of the power of two different wind farms, the root-mean-square error of the improved CNN model is reduced by 39.8% and 30.6%, respectively, compared with that of the original model, which shows that the proposed model has a better prediction performance. Full article
(This article belongs to the Section Energy Systems)
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15 pages, 1045 KiB  
Article
Are Commercially Available Orthodontic Adhesive Systems Suitable for Rapid (3 s) High-Intensity Light Curing?
by Ivona Profeta Krznar, Senka Meštrović, Helena Miler, Danijela Marovic, Zrinka Tarle and Matej Par
Appl. Sci. 2025, 15(14), 7641; https://doi.org/10.3390/app15147641 - 8 Jul 2025
Viewed by 232
Abstract
With the growing use of high-intensity LED units in orthodontics, the effect of ultra-fast curing protocols on polymerization efficiency remains unclear. This study aimed to evaluate the influence of conventional and rapid high-intensity light curing protocols on the degree of conversion (DC) of [...] Read more.
With the growing use of high-intensity LED units in orthodontics, the effect of ultra-fast curing protocols on polymerization efficiency remains unclear. This study aimed to evaluate the influence of conventional and rapid high-intensity light curing protocols on the degree of conversion (DC) of orthodontic adhesive systems. Three commercially available materials were tested under two conditions, without bracket interference (control group, CG) and with a metal bracket present during curing (metal bracket group, MBG). Two light-curing protocols were employed: conventional curing, using two consecutive 10 s exposures at 1100 mW/cm2, and rapid curing, with two consecutive 3 s exposures at 2900 mW/cm2. The DC was assessed via Fourier-transform infrared (FTIR) spectroscopy at short-term intervals (2, 6, and 10 min) and after 24 h. The results showed that rapid high-intensity curing yielded significantly lower DC values at both the short term and 24 h period compared to the conventional protocol. Short-term DC values ranged from 44.4% to 64.4% for conventional curing and from 43.0% to 60.0% for rapid curing. At 24 h, DC values increased for all materials, reaching 54.4–82.8% in the conventional group and 49.7–81.4% in the rapid curing group. The largest difference in DC values between curing protocols was observed in the MBG, with reductions of up to 5.9% (short-term) and 4.7% (24 h). The 24 h DC values were mostly material-dependent, while external factors (curing protocol and the presence of a bracket) had more impact on the short-term DC values. Full article
(This article belongs to the Special Issue Orthodontics: Advanced Techniques, Methods and Materials)
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17 pages, 2086 KiB  
Article
Seismogenic Effects in Variation of the ULF/VLF Emission in a Complex Study of the Lithosphere–Ionosphere Coupling Before an M6.1 Earthquake in the Region of Northern Tien Shan
by Nazyf Salikhov, Alexander Shepetov, Galina Pak, Serik Nurakynov, Vladimir Ryabov and Valery Zhukov
Geosciences 2025, 15(6), 203; https://doi.org/10.3390/geosciences15060203 - 1 Jun 2025
Viewed by 399
Abstract
A complex study was performed of the disturbances in geophysics parameters that were observed during a short-term period of earthquake preparation. On 4 March 2024, an M6.1 earthquake (N 42.93, E 76.966) occurred with the epicenter 12.2 km apart from the complex [...] Read more.
A complex study was performed of the disturbances in geophysics parameters that were observed during a short-term period of earthquake preparation. On 4 March 2024, an M6.1 earthquake (N 42.93, E 76.966) occurred with the epicenter 12.2 km apart from the complex of geophysical monitoring. Preparation of the earthquake we detected in real time, 8 days prior to the main shock, when a characteristic cove-like decrease appeared in the gamma-ray flux measured 100 m below the surface of the ground, which observation indicated an approaching earthquake with high probability. Besides the gamma-ray flux, anomalies connected with the earthquake preparation were studied in the variation of the Earth’s natural pulsed electromagnetic field (ENPEMF) at very low frequencies (VLF) f=7.5 kHz and f=10.0 kHz and at ultra-low frequency (ULF) in the range of 0.001–20 Hz, as well as in the shift of Doppler frequency (DFS) of the ionospheric signal. A drop detected in DFS agrees well with the decrease in gamma radiation background. A sequence of disturbance appearance was revealed, first in the variations of ENPEMF in the VLF band and of the subsurface gamma-ray flux, both of which reflect the activation dynamic of tectonic processes in the lithosphere, and next in the variation of DFS. Two types of earthquake-connected effects may be responsible for the transmission of the perturbation from the lithosphere into the ionosphere: the ionizing gamma-ray flux and the ULF/VLF emission, as direct radiation from the nearby earthquake source. In the article, we emphasize the role of medium ionization in the propagation of seismogenic effects as a channel for realizing the lithosphere–ionosphere coupling. Full article
(This article belongs to the Special Issue Precursory Phenomena Prior to Earthquakes (2nd Edition))
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13 pages, 3438 KiB  
Article
Three-Dimensional Modelling and Validation for the Ultra-High-Speed EDS Rocket Sled with PM Halbach Array
by Yongpan Hu, Baojun Chen, Guobin Lin and Zhiqiang Wang
Actuators 2025, 14(5), 225; https://doi.org/10.3390/act14050225 - 1 May 2025
Viewed by 376
Abstract
The ultra-high-speed rocket sled plays an important role in the ground test by simulating altitude flight. Rocket sleds can only be lifted for a short time with thermally uninsulated superconductors moving among an eddy-current-induced copper array. For the purpose of durable lifting, an [...] Read more.
The ultra-high-speed rocket sled plays an important role in the ground test by simulating altitude flight. Rocket sleds can only be lifted for a short time with thermally uninsulated superconductors moving among an eddy-current-induced copper array. For the purpose of durable lifting, an electrodynamic suspension (EDS) with a permanent magnet (PM) Halbach array moving over a conductor plate can be adopted to upgrade the rocket sled. The earlier study built a two-dimensional (2D) model for the PM EDS system. Yet, 2D modelling in our earlier research ignored the magnetic field variation along both widths of the Halbach array and conductor plate. This resulted in a more than 50% error between the analytical electromagnetic forces with both the three-dimensional (3D) simulated and experimental results. To reduce the error, this paper puts forward more accurate analytical electromagnetic force formulas by a 3D modelling method encompassing both widths of the Halbach array and conductor plate. The 3D model was built by periodically extending the PM EDS system along both directions of the width and length. Then, by double Fourier series expansion and omitting high-order components, the electromagnetic forces can be approximated by brief formulas. Moreover, lift-to-weight and lift-to-drag optimization are discussed. Finally, the correctness of the 3D electromagnetic force formulas was verified by both the numerical simulation and experiment. Full article
(This article belongs to the Special Issue Advanced Theory and Application of Magnetic Actuators—2nd Edition)
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33 pages, 12458 KiB  
Article
Multi-Source Data Fusion-Based Grid-Level Load Forecasting
by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu and Guangyu He
Appl. Sci. 2025, 15(9), 4820; https://doi.org/10.3390/app15094820 - 26 Apr 2025
Viewed by 631
Abstract
This paper introduces a novel weighted fusion methodology for grid-level short-term load forecasting that addresses the critical limitations of direct aggregation methods currently used by regional dispatch centers. Traditional approaches accumulate provincial forecasts without considering regional heterogeneity in load characteristics, data quality, and [...] Read more.
This paper introduces a novel weighted fusion methodology for grid-level short-term load forecasting that addresses the critical limitations of direct aggregation methods currently used by regional dispatch centers. Traditional approaches accumulate provincial forecasts without considering regional heterogeneity in load characteristics, data quality, and forecasting capabilities. Our methodology implements a comprehensive evaluation index system that quantifies forecast trustworthiness through three key dimensions: forecast reliability, provincial impact, and forecasting complexity. The core innovation lies in our principal component analysis (PCA)-based weighted aggregation mechanism that dynamically adjusts provincial weights according to their evaluated reliability, further enhancing through time-varying weights that adapt to changing load patterns throughout the day. Experimental validation across three representative seasonal periods (moderate temperature, high temperature, and winter conditions) substantiates that our weighted fusion approach consistently outperforms direct aggregation, achieving a 24.67% improvement in overall MAPE (from 3.09% to 2.33%). Performance gains are particularly significant during critical peak periods, with up to 62.6% error reduction under high-temperature conditions. The methodology verifies remarkable adaptability across different temporal scales, seasonal variations, and regional characteristics, consistently maintaining superior performance from ultra-short-term (1 h) to medium-term (168 h) forecasting horizons. Analysis of provincial weight dynamics reveals intelligent redistribution of weights across seasons, with summer months characterized by Jiangsu dominance (0.30–0.35) shifting to increased Anhui contribution (0.30–0.35) during winter. Our approach provides grid dispatch centers with a computationally efficient solution for enhancing the integration of heterogeneous forecasts from diverse regions, leveraging the complementary strengths of individual provincial systems while supporting safer and more economical power system operations without requiring modifications to existing forecasting infrastructure. Full article
(This article belongs to the Special Issue State-of-the-Art of Power Systems)
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23 pages, 1381 KiB  
Article
Ultra-Short Baseline Synthetic Aperture Passive Positioning Based on Interferometer Assistance
by Gaogao Liu, Qidong Zhang, Jian Xu, Jiangbo Zhu, Ziyu Huang, Beibei Mu and Hongfu Guo
Remote Sens. 2025, 17(8), 1358; https://doi.org/10.3390/rs17081358 - 11 Apr 2025
Viewed by 424
Abstract
The synthetic aperture passive positioning (SAPP) method has attracted the attention of researchers due to its high positioning resolution. However, there are still key technical issues regarding SAPP methods, such as residual frequency offset (RFO) coupling at Doppler frequency leading to decreased positioning [...] Read more.
The synthetic aperture passive positioning (SAPP) method has attracted the attention of researchers due to its high positioning resolution. However, there are still key technical issues regarding SAPP methods, such as residual frequency offset (RFO) coupling at Doppler frequency leading to decreased positioning accuracy, and non-periodic discontinuous signals emitted by unknown radiation sources (NRSs) causing positioning algorithm failure. Therefore, this paper proposes an ultra-short baseline SAPP method based on interferometer assistance. Firstly, conjugate multiplication is applied to the received signals of the interferometer’s dual antennas to obtain a single frequency received signal corresponding to the straight-line distance. Subsequently, the proposed step search (SS) algorithm based on cross-correlation analysis is used to obtain the receiving frequency of the single frequency signal, and the initial positioning distance is calculated using the corresponding mapping relationship based on this frequency. Finally, NRS positioning is completed in the two-dimensional coordinates of azimuth and range by combining with the signal arrival angle. The positioning results of this method are insensitive to RFO, and even if NRS emits non-periodic discontinuous signals, the proposed method can successfully locate them. In addition, the Cramer–Rao lower bound (CRLB) of the localization for this method is derived. The simulation and unmanned aerial vehicle (UAV) experimental results demonstrate the effectiveness and feasibility of this method. Full article
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10 pages, 623 KiB  
Article
Remifentanil Patient-Controlled Analgesia for Labor Analgesia at Different Cervical Dilations: A Single Center Retrospective Analysis of 1045 Cases
by Tatjana Stopar Pintaric, Lara Vehar, Alex T. Sia, Tomislav Mirkovic and Miha Lucovnik
Medicina 2025, 61(4), 675; https://doi.org/10.3390/medicina61040675 - 6 Apr 2025
Viewed by 938
Abstract
Background and Objectives: Remifentanil is a potent synthetic μ-opioid receptor agonist known for its rapid onset and ultrashort duration of action, making it a popular choice for intravenous labor analgesia. The analgesic effectiveness of remifentanil patient-controlled analgesia (Remifentanil-PCA) may vary based on [...] Read more.
Background and Objectives: Remifentanil is a potent synthetic μ-opioid receptor agonist known for its rapid onset and ultrashort duration of action, making it a popular choice for intravenous labor analgesia. The analgesic effectiveness of remifentanil patient-controlled analgesia (Remifentanil-PCA) may vary based on the stage of labor and parity, potentially influencing satisfaction with labor analgesia. This study aimed to evaluate the degree of pain reduction achieved with remifentanil-PCA, considering different cervical dilations in both nulliparous and multiparous women. Material and Methods: Women who were ≥37 weeks pregnant with singleton cephalic fetuses, either by spontaneous onset or induction of labor, were included in the study. Data were collected from the Labor Record form, which included demographic and obstetric information, as well as the onset of analgesia categorized by cervical dilation (1–3 cm, 4–6 cm, 7–9 cm, and full dilation). Additionally, data on analgesia onset and duration (the time interval between the start of analgesia and the delivery of the baby), initial numerical rating scale (NRS0) for pain intensity, NRS after the first hour of analgesia (NRS1), the lowest recorded NRS during labor (NRSmin), and pain reduction during the first hour of analgesia (NRS0–VAS1), satisfaction with labor analgesia (rated 0 for dissatisfied, 1 for moderately satisfied, 2 for very satisfied), and complication rates were obtained from the remifentanil-PCA form. Results: A total of 513 nulliparas and 523 multiparas who gave birth between 1 January 2019 and 31 December 2019 were reviewed. No significant differences were found between the two groups regarding age, body mass index, labor induction rates, occipito-posterior positioning, blood loss > 500 mL, or neonatal outcomes. Nulliparas exhibited a higher gestational age (p = 0.021), longer labor duration (p < 0.001), and increased rates of cesarean sections (p < 0.001) and vacuum extractions (p = 0.002). Remifentanil-PCA consistently provided mild to moderate pain intensity reduction. No differences were found in VAS0, VAS1, or pain intensity reduction (VAS0–VAS1) regardless of the stage of labor or parity. Significant differences in VAS min were observed among nulliparas at different stages of labor (p < 0.026). However, a higher proportion of multiparas reported moderate (24.7% vs. 9.5%, p < 0.001) and high satisfaction (90% vs. 75%, p < 0.001) with remifentanil-PCA compared to nulliparas. Importantly, no serious complications in mothers or neonates attributed to remifentanil-PCA were observed during the observational period. Conclusions: Remifentanil-PCA demonstrates consistent effectiveness regardless of the stage of labor or parity. This indicates that remifentanil-PCA can be administered at any point during labor. Coupled with its rapid availability and immediate analgesic effect, this feature enhances the flexibility of its use in clinical practice. Full article
(This article belongs to the Section Intensive Care/ Anesthesiology)
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15 pages, 582 KiB  
Article
Psychometric Validation of the Macedonian-Language Version of the Ultrashort Five-Item Oral Health Impact Profile in the North Macedonian Population (OHIP5-MAC)
by Saša Elenčevski, Asja Čelebić, Aleksandra Popovac, Sonja Apostolska, Julijana Nikolovska and Ivica Stančić
Medicina 2025, 61(4), 655; https://doi.org/10.3390/medicina61040655 - 2 Apr 2025
Viewed by 463
Abstract
Background and Objectives: Due to a lack of an ultrashort questionnaire for Oral Health-Related Quality of Life (OHRQoL) assessment in the North Macedonian population, the OHIP5 was translated into Macedonian language with aim to test its psychometrical properties. Materials and Methods: [...] Read more.
Background and Objectives: Due to a lack of an ultrashort questionnaire for Oral Health-Related Quality of Life (OHRQoL) assessment in the North Macedonian population, the OHIP5 was translated into Macedonian language with aim to test its psychometrical properties. Materials and Methods: Two types of reliability were tested: internal consistency by calculating Cronbach’s alpha coefficient (general population), and test-retest reliability by calculating intraclass correlation coefficients (ICC) in a convenient sample of dental students who answered the same questions twice. Two types of validity were also tested: convergent validity (via a Spearman rank correlation) and known-group validity (via a Mann–Whitney U test). Responsiveness was tested by calculating the significance of the differences between the pre-treatment and after-treatment scores and by calculating the effect sizes of different dental treatments. Results: The Cronbach alpha coefficient of 0.756 and inter-item correlations above 0.2 pointed out good internal consistency. The test-retest reliability was confirmed by high ICCs and no significant differences between the OHIP5-MAC scores in a period of two weeks as dental students had no oral health changes. The Spearman rank correlation of −0.88 (p < 0.01) between the OHIP5-MAC summary scores and one simple question scoring self-perceived oral health (1–5; 1-worst oral health; 5-excellent oral health) confirmed the convergent validity. Significant differences between subjects with natural teeth and those with removable dentures (p < 0.01) confirmed the know-group validity, as it was predicted that removable denture wearers would have more impairment of oral health than individuals with natural teeth. The sensitivity of a questionnaire to measure changes elicited by dental treatments, i.e., responsiveness, was confirmed in individuals who received different dental treatments and scored significantly better (lower scores) their OHRQoL one month after the treatment, compared to their pretreatment scores (p < 0.05). Conclusions: Generally good psychometric properties of the OHIP5-MAC justify the recommendation for its future use in clinical settings and research. Full article
(This article belongs to the Section Dentistry and Oral Health)
32 pages, 6581 KiB  
Article
Unveiling Technological Evolution with a Patent-Based Dynamic Topic Modeling Framework: A Case Study of Advanced 6G Technologies
by Jieru Jiang, Fangli Ying and Riyad Dhuny
Appl. Sci. 2025, 15(7), 3783; https://doi.org/10.3390/app15073783 - 30 Mar 2025
Cited by 1 | Viewed by 1236
Abstract
As the next frontier in wireless communication, the landscape of 6G technologies is characterized by its rapid evolution and increasing complexity, driven by the need to address global challenges such as ubiquitous connectivity, ultra-high data rates, and intelligent applications. Given the significance of [...] Read more.
As the next frontier in wireless communication, the landscape of 6G technologies is characterized by its rapid evolution and increasing complexity, driven by the need to address global challenges such as ubiquitous connectivity, ultra-high data rates, and intelligent applications. Given the significance of 6G in shaping the future of communication and its potential to revolutionize various industries, understanding the technological evolution within this domain is crucial. Traditional topic modeling approaches fall short in adapting to the rapidly changing and highly complex nature of patent-based topic analysis in this field, thereby impeding a comprehensive understanding of the advanced technological evolution in terms of capturing temporal changes and uncovering semantic relationships. This study delves into the exploration of the evolving technologies of 6G in patent data through a novel dynamic topic modeling framework. Specifically, this work harnesses the power of large language models to effectively reduce the noise in patent data pre-processing using a prompt-based summarization technique. Then, we propose an enhanced dynamic topic modeling framework based on BERTopic to capture the time-aware features of evolving topics across periods. Additionally, we conduct comparative analysis in contextual embedding techniques and leverage SBERT pre-trained on patent data to extract the content semantics in domain-specific patent data within this framework. Finally, we apply the weak signal analysis method to identify the emerging topics in 6G technology over the periods, which makes the topic evolution analysis more interpretable than traditional topic modeling methods. The empirical results, which were validated by human experts, show that the proposed method can effectively uncover patterns of technological evolution, thus enabling its potential application to enhance strategic decision-making and stay ahead in the highly competitive and rapidly evolving technological sector. Full article
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26 pages, 16054 KiB  
Article
Online Monitoring of Partial Discharges in Large Power Transformers Using Ultra-High Frequency and Acoustic Emission Methods: Case Studies
by Wojciech Sikorski and Jaroslaw Gielniak
Energies 2025, 18(7), 1718; https://doi.org/10.3390/en18071718 - 29 Mar 2025
Viewed by 751
Abstract
Partial discharges (PDs) are one of the leading causes of catastrophic power transformer failures. To prevent such failures, online PD monitoring systems are increasingly being implemented. In this paper, to the best of the authors’ knowledge, a case study analysis of short-term PD [...] Read more.
Partial discharges (PDs) are one of the leading causes of catastrophic power transformer failures. To prevent such failures, online PD monitoring systems are increasingly being implemented. In this paper, to the best of the authors’ knowledge, a case study analysis of short-term PD monitoring is presented for the first time using a combination of acoustic emission and ultra-high-frequency methods. Studies have shown that this approach, supported by selected statistical methods for analyzing the convergence (such as the confusion matrix and agreement metrics) of acoustic and electromagnetic pulse detection, improves the reliability of PD detection. Furthermore, it was shown that short-term PD monitoring enables the identification of time windows during which discharges occur periodically and the determination of the transformer phase containing the PD source. This, in turn, facilitates the application of the time difference of arrival (TDoA) technique for the precise localization of transformer insulation defects. Full article
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18 pages, 4975 KiB  
Article
Nonparametric Probabilistic Prediction of Ultra-Short-Term Wind Power Based on MultiFusion–ChronoNet–AMC
by Yan Yan, Yong Qian and Yan Zhou
Energies 2025, 18(7), 1646; https://doi.org/10.3390/en18071646 - 25 Mar 2025
Viewed by 307
Abstract
Accurate forecasting is crucial for enhancing the flexibility and controllability of power grids. Traditional forecasting methods mainly focus on modeling based on a single data source, which leads to an inability to fully capture the underlying relationships in wind power data. In addition, [...] Read more.
Accurate forecasting is crucial for enhancing the flexibility and controllability of power grids. Traditional forecasting methods mainly focus on modeling based on a single data source, which leads to an inability to fully capture the underlying relationships in wind power data. In addition, current models often lack dynamic adaptability to data characteristics, resulting in lower prediction accuracy and reliability under different time periods or weather conditions. To address the aforementioned issues, an ultra-short-term hybrid probabilistic prediction model based on MultiFusion, ChronoNet, and adaptive Monte Carlo (AMC) is proposed in this paper. By combining multi-source data fusion and a multiple-gated structure, the nonlinear characteristics and uncertainties of wind power under various input conditions are effectively captured by this model. Additionally, the AMC method is applied in this paper to provide comprehensive, accurate, and flexible ultra-short-term probabilistic predictions. Ultimately, experiments are conducted on multiple datasets, and the results show that the proposed model not only improves the accuracy of deterministic prediction but also enhances the reliability of probabilistic prediction intervals. Full article
(This article belongs to the Special Issue Advanced Forecasting Methods for Sustainable Power Grid)
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14 pages, 2666 KiB  
Article
Effect of Ultra-High Temperature Degradation on the Physical Properties and Chemical Structure of an AMPS-Based Copolymer Oil-Well Cement Additive PADIM in Aqueous Solution
by Yongjin Yu, Hang Zhang, Pu Xu, Xinyang Zhang, Haige Wang, Miaomiao Hu and Jintang Guo
Polymers 2025, 17(5), 591; https://doi.org/10.3390/polym17050591 - 23 Feb 2025
Viewed by 895
Abstract
2-acrylamido-2-methylpropane sulfonic acid (AMPS) based copolymer fluid loss agent is a kind of widely utilized additive in oil-well cement. However, when applied in ultra-high temperature (UHT) formation environment, its fluid loss control efficiency is significantly declined due to the thermal degradation behavior, and [...] Read more.
2-acrylamido-2-methylpropane sulfonic acid (AMPS) based copolymer fluid loss agent is a kind of widely utilized additive in oil-well cement. However, when applied in ultra-high temperature (UHT) formation environment, its fluid loss control efficiency is significantly declined due to the thermal degradation behavior, and corresponding mechanism study is still lacking. Regarding the above issue, this work synthesized one representative copolymer fluid loss agent PADIM and investigated its thermal degradation mechanism in UHT aqueous environment, which was polymerized by AMPS, N, N-dimethylacrylamide (DMAA), itaconic acid (IA) and methacryloxyethyltrimethyl ammonium chloride (MTC). The aim of this paper was to provide a theoretical guidance for the futural structural design of the fluid loss agents for oil well cement slurry at UHTs. The copolymer solution was subjected to isothermal aging at 180–240 °C for 1.5 h or 6.0 h (to simulate short-period and long-period aging, respectively), and the aged products were further analyzed. It was found that the thermal decomposition onset temperature of the copolymer solid was 294.6 °C. However, its thermal stability in aqueous solution was significantly lower, with substantial main chain breakage and functional group transformations occurring below 240 °C. As a result, the apparent viscosity and average molecular weight were significantly reduced from 4216 mPa·s and 31,666 Da before aging to 107.4 mPa·s and 8590 Da after aging at 240 °C for 6.0 h. Meanwhile, the side groups (-SO3 and -COO) were removed and the unsaturated alkenes were produced due to main chain degradation. In terms of application performance, the fluid loss control ability of the aged product diminished gradually from 22 mL to 196 mL as the aging temperature increased from room temperature to 210 °C. This decline was attributed to a reduction in molecular weight and a decrease in product adsorption capacity caused by the removal of side groups. Full article
(This article belongs to the Section Polymer Applications)
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21 pages, 11634 KiB  
Review
Small-Molecule Probes: Recent Progress in the Rapid Detection of Carbapenemase-Producing Bacteria
by Feiran Xie, Yanzhi Zhou, Fei Zhang and Peihong Xiao
Pharmaceutics 2025, 17(3), 282; https://doi.org/10.3390/pharmaceutics17030282 - 20 Feb 2025
Viewed by 801
Abstract
As the last resort and one of the most crucial antibiotics for multidrug-resistant bacteria, carbapenem is considered the best hope for treating bacterial infections. However, the prompt emergence of carbapenemase-producing bacteria (CPB) poses a striking global health threat. Thus, accurate and rapid methods [...] Read more.
As the last resort and one of the most crucial antibiotics for multidrug-resistant bacteria, carbapenem is considered the best hope for treating bacterial infections. However, the prompt emergence of carbapenemase-producing bacteria (CPB) poses a striking global health threat. Thus, accurate and rapid methods for the detection of carbapenemase are being requested to guide precise diagnosis, appropriate treatment strategies, and antibiotic stewardship. Although genotypic, phenotypic, and biochemical methods are currently used in clinical practice for CPB detection, they each have their problems that cannot commendably meet the need. In recent years, small-molecule probes have made significant progress and breakthroughs in the rapid detection and subtyping of CPB, providing insights and innovative solutions for the ultra-sensitive detection of CPB. In this minireview, some of the advances, namely, chromogenic probes and methods, fluorogenic probes, dual fluorogenic–chromogenic probes, a chemiluminescent probe, and a novel label-free intracellular calorimetric approach, are summarized, appreciated, and discussed. These methods offer high sensitivity, specificity, and accuracy in a short period in clinical settings without the utilization of sophisticated equipment or professional personnel. We hope that this minireview can provide a reference for the development of rapid detection of CPB and eventually contribute to antibiotic resistance management. Full article
(This article belongs to the Special Issue Fluorescent Probes as a Tool in Diagnostic and Drug Delivery)
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17 pages, 5184 KiB  
Article
Ultrashort Pulse Laser Fabrication and Evaluation of Innovative Resorbable Barbed Sutures
by Karuna Nambi Gowri, Walid Al Asad, Shubha Majumder, Xin Zhao and Martin William King
Polymers 2025, 17(4), 544; https://doi.org/10.3390/polym17040544 - 19 Feb 2025
Viewed by 695
Abstract
Laser micro-machining is a rapidly growing technique to create, manufacture and fabricate microstructures on different materials ranging from metals and ceramics to polymers. Micro- and nano-machining on different materials has been helpful and useful for various biomedical applications. This study focuses on the [...] Read more.
Laser micro-machining is a rapidly growing technique to create, manufacture and fabricate microstructures on different materials ranging from metals and ceramics to polymers. Micro- and nano-machining on different materials has been helpful and useful for various biomedical applications. This study focuses on the micro-machining of innovative barbed sutures using an ultrashort pulse laser, specifically a femtosecond (fs) laser system. Two bioresorbable polymeric materials, namely, catgut and poly (4-hydroxybutyrate) (P4HB), were studied and micro-machined using the femtosecond (fs) laser system. The optimized laser parameter was used to fabricate two different barb geometries, namely, straight and curved barbs. The mechanical properties were evaluated via tensile testing, and the anchoring performance was studied by means of a suture–tissue pull-out protocol using porcine dermis tissue which was harvested from the medial dorsal site. Along with the evaluation of the mechanical and anchoring properties, the thermal characteristics and degradation profiles were assessed and compared against mechanically cut barbed sutures using a flat blade. The mechanical properties of laser-fabricated barbed sutures were significantly improved when compared to the mechanical properties of the traditionally/mechanically cut barbed sutures, while there was not any significant difference in the anchoring properties of the barbed sutures fabricated through either of the fabrication techniques. Based on the differential scanning calorimetry (DSC) results for thermal transitions, there was no major impact on the inherent material properties due to the laser treatment. This was also observed in the degradation results, where both the mechanically cut and laser-fabricated barbed sutures exhibited similar profiles throughout the evaluation time period. It was concluded that switching the fabrication technique from mechanical cutting to laser fabrication would be beneficial in producing a more reproducible and consistent barb geometry with more precision and accuracy. Full article
(This article belongs to the Topic Advanced Biomaterials: Processing and Applications)
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