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27 pages, 2637 KiB

Open AccessArticle

An Intelligent Long Short-Term Memory-Based Machine Learning Model for the Potential Assessment of Global Hydropower Capacity in Sustainable Energy Transition and Security

by Muhammad Amir Raza, Abdul Karim, Mohammed Alqarni, Mahmoud Ahmad Al-Khasawneh, Touqeer Ahmed Jumani, Mohammed Aman and Muhammad I. Masud

Energies 2025, 18(13), 3324; https://doi.org/10.3390/en18133324 (registering DOI) - 24 Jun 2025

Abstract

Climate change is a pressing global issue with severe consequences for the planet and human health. The Earth’s temperature has risen by 2 °C from 1901 to 2023, and this warming trend is expected to continue, causing potentially dangerous shifts in climate. Climate [...] Read more.

Climate change is a pressing global issue with severe consequences for the planet and human health. The Earth’s temperature has risen by 2 °C from 1901 to 2023, and this warming trend is expected to continue, causing potentially dangerous shifts in climate. Climate change impacts are already visible, with more frequent and severe heat waves, droughts, intense rain, and floods becoming increasingly common. Therefore, hydropower can contribute to addressing the global climate change issue and help to achieve global energy transition and stabilize global energy security. A Long Short-Term Memory (LSTM)-based model implemented in Python for global and regional hydropower forecasting was developed for a study period of 2023 to 2060 by taking the input data from 1980 to 2022. The results revealed that Asian countries have greater hydropower potential, which is expected to increase from 1926.51 TWh in 2023 to 2318.78 TWh in 2030, 2772.06 TWh in 2040, 2811.41 TWh in 2050, and 3195.79 TWh in 2060, as compared with the other regions of the world like the Middle East, Africa, Asia, Common Wealth of Independent State (CIS), Europe, North America, and South and Central America. The global hydropower potential is also expected to increase from 4350.12 TWh in 2023 to 4806.26 TWh in 2030, 5393.80 TWh in 2040, 6003.53 TWh in 2050, and 6644.06 TWh in 2060, which is sufficient for achieving energy transition and energy security goals. Furthermore, the performance and accuracy of the LSTM-based model were found to be 98%. This study will help in the efficient scheduling and management of hydropower resources, reducing uncertainties caused by environmental variability such as precipitation and runoff. The proposed model contributes to the energy transition and security that is needed to meet the global climate targets. Full article

(This article belongs to the Section B: Energy and Environment)

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19 pages, 1704 KiB

Open AccessArticle

General Principles of Combinations of Stator Poles and Rotor Teeth for Conventional Flux-Switching Brushless Machines with Prime Phase Numbers

by Chuhan Gao, Xinran Jia, Guishu Zhao, Wei Hua and Ming Cheng

Energies 2025, 18(13), 3322; https://doi.org/10.3390/en18133322 - 24 Jun 2025

Abstract

In order to achieve the optimal stator–rotor combinations of conventional flux-switching permanent magnet (FSPM) machines, this paper proposes and analyzes a general principle with prime phase numbers. Based on the coil complementarity concept, the proposed methodology specifically addresses the phase symmetry of back [...] Read more.

In order to achieve the optimal stator–rotor combinations of conventional flux-switching permanent magnet (FSPM) machines, this paper proposes and analyzes a general principle with prime phase numbers. Based on the coil complementarity concept, the proposed methodology specifically addresses the phase symmetry of back electromotive force (back-EMF) and electromagnetic torque optimization, with comprehensive analysis conducted for two-phase, three-phase, and five-phase configurations. Firstly, the coil-EMF vectors and the concept of coil pairs of conventional FSPM machines are introduced. Then, based on the coil-EMF vectors, an analytical model determining the stator pole and rotor teeth combinations is proposed. Further, the combinations for conventional FSPM machines with prime phase numbers are synthesized and summarized on the basis of the results obtained by the proposed model. To validate the model and combination principles, the FSPM machines satisfying the principles have been verified to exhibit a symmetrical phase back-EMF waveform by finite element analysis (FEA) and experiments on prototypes. In addition, the winding factors of the conventional FSPM machines with different stator pole and rotor teeth combinations are calculated. Full article

(This article belongs to the Special Issue Designs and Control of Electrical Machines and Drives)

36 pages, 770 KiB

Open AccessReview

Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review

by Mohammadreza Saberironaghi, Jing Ren and Alireza Saberironaghi

AppliedMath 2025, 5(3), 76; https://doi.org/10.3390/appliedmath5030076 - 24 Jun 2025

Abstract

The rapid advancement of machine learning and deep learning techniques has revolutionized stock market prediction, providing innovative methods to analyze financial trends and market behavior. This review paper presents a comprehensive analysis of various machine learning and deep learning approaches utilized in stock [...] Read more.

The rapid advancement of machine learning and deep learning techniques has revolutionized stock market prediction, providing innovative methods to analyze financial trends and market behavior. This review paper presents a comprehensive analysis of various machine learning and deep learning approaches utilized in stock market prediction, focusing on their methodologies, evaluation metrics, and datasets. Popular models such as LSTM, CNN, and SVM are examined, highlighting their strengths and limitations in predicting stock prices, volatility, and trends. Additionally, we address persistent challenges, including data quality and model interpretability, and explore emerging research directions to overcome these obstacles. This study aims to summarize the current state of research, provide insights into the effectiveness of predictive models. Full article

(This article belongs to the Special Issue Optimization and Machine Learning)

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11 pages, 2077 KiB

Open AccessTechnical Note

Laparoscopic-Assisted Percutaneous Cryoablation of Abdominal Wall Desmoid Fibromatosis: Case Series and Local Experience

by Kadhim Taqi, Jaymie Walker, Cecily Stockley, Antoine Bouchard-Fortier, Stefan Przybojewski and Lloyd Mack

Surg. Tech. Dev. 2025, 14(3), 20; https://doi.org/10.3390/std14030020 - 24 Jun 2025

Abstract

Background: Desmoid tumors (DTs) are rare, non-metastatic but locally aggressive connective tissue neoplasms. While standard treatments include surgery, radiation, and ablation, current guidelines advocate active surveillance unless tumors progress or symptoms worsen. Cryotherapy has shown promise in treating DTs; however, its application in [...] Read more.

Background: Desmoid tumors (DTs) are rare, non-metastatic but locally aggressive connective tissue neoplasms. While standard treatments include surgery, radiation, and ablation, current guidelines advocate active surveillance unless tumors progress or symptoms worsen. Cryotherapy has shown promise in treating DTs; however, its application in rectus abdominis DTs has been limited due to proximity to critical intra-abdominal structures. Methods: This case series describes a novel approach involving laparoscopic-assisted cryoablation in three patients with rectus abdominis DTs. Laparoscopic visualization was employed to improve tumor localization and procedural safety during percutaneous cryoablation. Results: The average tumor size was 7.4 cm, and a mean of 14 cryoprobes were used per case. All patients experienced complete symptom resolution. One patient developed a complication—injury to the inferior epigastric artery—requiring embolization. Follow-up imaging at three months showed significant tumor shrinkage and necrosis in two patients. The third patient had increased lesion volume due to post-procedural hematoma, although radiological markers of cryoablation efficacy were present. Conclusions: Laparoscopic-assisted cryoablation appears to be a feasible and effective technique for treating rectus abdominis DTs, providing symptom relief and favorable early tumor response. Further studies are warranted to evaluate long-term outcomes and validate this approach in broader clinical settings. Full article

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17 pages, 1117 KiB

Open AccessArticle

AI-CAD-Guided Mammographic Assessment of Tumor Size and T Stage: Concordance with MRI for Clinical Staging in Breast Cancer Patients Considered for NAC

by Ga Eun Park, Kabsoo Shin, Han Song Mun and Bong Joo Kang

Tomography 2025, 11(7), 72; https://doi.org/10.3390/tomography11070072 - 24 Jun 2025

Abstract

Objectives: To evaluate the agreement between AI-CAD-guided mammographic and MRI measurements of tumor size and T stage in breast cancer patients being considered for neoadjuvant chemotherapy (NAC). Methods: This retrospective study included 144 women (mean age, 52 ± 11 years) with [...] Read more.

Objectives: To evaluate the agreement between AI-CAD-guided mammographic and MRI measurements of tumor size and T stage in breast cancer patients being considered for neoadjuvant chemotherapy (NAC). Methods: This retrospective study included 144 women (mean age, 52 ± 11 years) with invasive breast cancer who subsequently received NAC and underwent both AI-CAD mammography (score ≥10) and pre-treatment MRI. Tumor sizes from AI-CAD contours were compared with MRI using Pearson correlation, intraclass correlation coefficients (ICCs), and Bland–Altman analysis. Concordance was defined as a ±0.5 cm difference. The contour showing the highest agreement was used to compare T stage with MRI using weighted kappa. Results: The mean AI-CAD abnormality score was 86.3 ± 22.2. Tumor sizes on mammography were 3.0 ± 1.2 cm (inner), 3.8 ± 1.5 cm (middle), and 4.8 ± 2.2 cm (outer), while the MRI-measured tumor size was 4.0 ± 1.9 cm. The middle contour showed the strongest correlation with MRI (r = 0.897; ICC = 0.866), the smallest mean difference (–0.19 cm; limits of agreement, –1.87 to 1.49), and the highest concordance (61.1%). Agreement was higher in mass-only lesions than in NME-involved lesions (ICC = 0.883 vs. 0.775; concordance, 70.9% vs. 46.6%). T stage comparison using the middle contour showed substantial agreement with MRI (κ = 0.743 [95% CI, 0.634–0.852]; agreement, 88.2%), with higher concordance in mass-only lesions (93.0%) than NME-involved lesions (81.0%) and more frequent understaging in the latter (17.2% vs. 2.3%). Conclusions: AI-CAD-guided mammographic assessment using the middle contour demonstrated good agreement with MRI for tumor size and T stage, indicating its value as a supportive tool for clinical staging in MRI-limited settings. Full article

(This article belongs to the Special Issue Imaging in Cancer Diagnosis)

9 pages, 806 KiB

Open AccessArticle

Investigating the Accuracy of Ultrasound Imaging in Measuring Fetal Weight in Comparison with the Actual Postpartum Weight

by Sultan Abdulwadoud Alshoabi, Abdulhadi M. Tarshun, Ziyad O. Alnoman, Fahad H. Aljohani, Fadwa M. Alahmadi, Awatif M. Omer, Osamah M. Abdulaal, Awadia Gareeballah, Abdulaziz A. Qurashi, Fahad H. Alhazmi, Kamal D. Alsultan and Moawia Gameraddin

Pediatr. Rep. 2025, 17(4), 70; https://doi.org/10.3390/pediatric17040070 - 24 Jun 2025

Abstract

Background: Antenatal ultrasonography measurements of the estimated fetal weight (EFW) are a critical point in the decision-making process of obstetric planning and management to preserve the safety of both the newborn and the mother. This study aims to investigate the accuracy of ultrasonography [...] Read more.

Background: Antenatal ultrasonography measurements of the estimated fetal weight (EFW) are a critical point in the decision-making process of obstetric planning and management to preserve the safety of both the newborn and the mother. This study aims to investigate the accuracy of ultrasonography to measure the EFW in comparison with the actual birth weight (BW) measured immediately after delivery. Methods: In this retrospective study, electronic records of 270 newborns who fulfilled the inclusion criteria were retrieved. A structured data sheet was used to collect the EFW, calculated by the Hadlock A formula using real-time ultrasound imaging on the day of delivery or the day before, and the actual BW immediately after delivery. Results: Out of 270 fetuses, 53.7% (145) were female, and 46.3% (125) were male. The mean BW was 2918.1 ± 652.81 g (range: 880 to 5100). The mean EFW was 3271.55 ± 691.47 g (range: 951 to 4942). The mean gestational age was 38 ± 2.48 weeks (range: 29 to 42). Spearman’s rho correlation test revealed strong compatibility between EFW and BW (r = 0.82, p < 0.001). Linear regression analysis showed a strong correlation between EFW and BW (R = 0.875, R² = 0.766, and p < 0.001). The cross-tabulation test showed 86.8%, 78.4%, and 26.9% compatibility between measurements of EFW and the true BW in group-1 (<2500 g), group-2 (2500–4000 g), and group-3 (>4000 g) fetuses (p< 0.001). Conclusions: EFW using ultrasonography yields high compatibility with the actual BW. Despite the slight overestimation, ultrasonography provides high clinical value in obstetric assessment and subsequent management. Full article

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16 pages, 631 KiB

Open AccessArticle

Age Differences Between Young and Older Adults in Decision-Making Under Risk: A Cross-Sectional Study

by Tindara Caprì, Rosa Angela Fabio and Mariachiara Gioia

J. Ageing Longev. 2025, 5(3), 21; https://doi.org/10.3390/jal5030021 - 24 Jun 2025

Abstract

Background: Decision-making under risk is a crucial process for undertaking health behaviors. Although the influence of individual differences on decision-making under risk has been widely examined, there is no clear consensus yet as to how to explain this process considering both young and [...] Read more.

Background: Decision-making under risk is a crucial process for undertaking health behaviors. Although the influence of individual differences on decision-making under risk has been widely examined, there is no clear consensus yet as to how to explain this process considering both young and older adults. The main aim of this preliminary study was to examine age differences in decision-making under risk, risk propensity, sensation-seeking, and self-conscious emotions between younger and older adults. Methods: A total of 40 subjects (20 young adults and 20 older adults) participated in the present study. The young adults were aged 18–35 years (M = 23.25, SD = 2.59). The older adults were aged 65–70 years (M = 68.50, SD = 4.01). Participants completed the Risk Propensity Scale, the Sensation-Seeking Scale, the Test of Self-Conscious Affect, and the Prisoner’s Dilemma Game. Results: The results indicated that the groups showed different behaviors in sensation-seeking (p < 0.001, pη2 = 0.14). The older group showed a larger propensity to seek recreational activities and unconventional behaviors than the younger group (p < 0.0001, d = 0.78; p = 0.001, d = 0.75). Also, the older adults demonstrated a greater inclination toward pride (p < 0.01, d= 0.78), whereas younger adults exhibited a stronger tendency towards shame (p < 0.01, d= 0.76). Conclusions: These data suggest a shift in risk preferences as individuals age, potentially influenced by a variety of psychological, social, and experiential factors. The applications of this study can support psychological well-being, productivity, and quality of life in later adulthood. Full article

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14 pages, 2321 KiB

Open AccessArticle

Automated SILAR System for High-Precision Deposition of CZTS Semiconductor Thin Films

by Perla J. Vázquez-González, Martha L. Paniagua-Chávez, Rafael Mota-Grajales and Carlos A. Hernández-Gutiérrez

Micro 2025, 5(3), 32; https://doi.org/10.3390/micro5030032 - 24 Jun 2025

Abstract

In this work, we present the development and validation of an automated system for the Successive Ionic Layer Adsorption and Reaction (SILAR) method, aimed at depositing Cu₂ZnSnS₄ (CZTS) thin films. The system is based on a Raspberry Pi Pico microcontroller [...] Read more.

In this work, we present the development and validation of an automated system for the Successive Ionic Layer Adsorption and Reaction (SILAR) method, aimed at depositing Cu₂ZnSnS₄ (CZTS) thin films. The system is based on a Raspberry Pi Pico microcontroller programmed in Micro-Python (Thonny 4.0.2), allowing precise control over immersion sequences, timing intervals, and substrate positioning along two degrees of freedom. Automation enhances reproducibility, safety, and reduces human error compared with manual operation. CZTS films were deposited on borosilicate glass and optically and structurally characterized. A gradual darkening of the films with increasing deposition cycles indicates controlled material accumulation. X-ray diffraction (XRD) and Raman spectroscopy confirmed the presence of CZTS phases, although with a partially amorphous structure. The estimated optical bandgap of ~1.34 eV is consistent with photovoltaic applications. These results validate the functionality of the automated SILAR platform for repeatable and scalable thin-film fabrication, offering a low-cost alternative for producing semiconductor absorber layers in solar energy technologies. Full article

(This article belongs to the Section Microscale Materials Science)

18 pages, 1987 KiB

Open AccessArticle

AI-HOPE-TGFbeta: A Conversational AI Agent for Integrative Clinical and Genomic Analysis of TGF-β Pathway Alterations in Colorectal Cancer to Advance Precision Medicine

by Ei-Wen Yang, Brigette Waldrup and Enrique Velazquez-Villarreal

AI 2025, 6(7), 137; https://doi.org/10.3390/ai6070137 - 24 Jun 2025

Abstract

Introduction: Early-onset colorectal cancer (EOCRC) is rising rapidly, particularly among the Hispanic/Latino (H/L) populations, who face disproportionately poor outcomes. The transforming growth factor-beta (TGF-β) signaling pathway plays a critical role in colorectal cancer (CRC) progression by mediating epithelial-to-mesenchymal transition (EMT), immune evasion, and [...] Read more.

Introduction: Early-onset colorectal cancer (EOCRC) is rising rapidly, particularly among the Hispanic/Latino (H/L) populations, who face disproportionately poor outcomes. The transforming growth factor-beta (TGF-β) signaling pathway plays a critical role in colorectal cancer (CRC) progression by mediating epithelial-to-mesenchymal transition (EMT), immune evasion, and metastasis. However, integrative analyses linking TGF-β alterations to clinical features remain limited—particularly for diverse populations—hindering translational research and the development of precision therapies. To address this gap, we developed AI-HOPE-TGFbeta (Artificial Intelligence agent for High-Optimization and Precision Medicine focused on TGF-β), the first conversational artificial intelligence (AI) agent designed to explore TGF-β dysregulation in CRC by integrating harmonized clinical and genomic data via natural language queries. Methods: AI-HOPE-TGFbeta utilizes a large language model (LLM), Large Language Model Meta AI 3 (LLaMA 3), a natural language-to-code interpreter, and a bioinformatics backend to automate statistical workflows. Tailored for TGF-β pathway analysis, the platform enables real-time cohort stratification and hypothesis testing using harmonized datasets from the cBio Cancer Genomics Portal (cBioPortal). It supports mutation frequency comparisons, odds ratio testing, Kaplan–Meier survival analysis, and subgroup evaluations across race/ethnicity, microsatellite instability (MSI) status, tumor stage, treatment exposure, and age. The platform was validated by replicating findings on the SMAD4, TGFBR2, and BMPR1A mutations in EOCRC. Exploratory queries were conducted to examine novel associations with clinical outcomes in H/L populations. Results: AI-HOPE-TGFbeta successfully recapitulated established associations, including worse survival in SMAD4-mutant EOCRC patients treated with FOLFOX (fluorouracil, leucovorin and oxaliplatin) (p = 0.0001) and better outcomes in early-stage TGFBR2-mutated CRC patients (p = 0.00001). It revealed potential population-specific enrichment of BMPR1A mutations in H/L patients (OR = 2.63; p = 0.052) and uncovered MSI-specific survival benefits among SMAD4-mutated patients (p = 0.00001). Exploratory analysis showed better outcomes in SMAD2-mutant primary tumors vs. metastatic cases (p = 0.0010) and confirmed the feasibility of disaggregated ethnicity-based queries for TGFBR1 mutations, despite small sample sizes. These findings underscore the platform’s capacity to detect both known and emerging clinical–genomic patterns in CRC. Conclusions: AI-HOPE-TGFbeta introduces a new paradigm in cancer bioinformatics by enabling natural language-driven, real-time integration of genomic and clinical data specific to TGF-β pathway alterations in CRC. The platform democratizes complex analyses, supports disparity-focused investigation, and reveals clinically actionable insights in underserved populations, such as H/L EOCRC patients. As a first-of-its-kind system studying TGF-β, AI-HOPE-TGFbeta holds strong promise for advancing equitable precision oncology and accelerating translational discovery in the CRC TGF-β pathway. Full article

(This article belongs to the Section Medical & Healthcare AI)

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37 pages, 2122 KiB

Open AccessReview

Pyrazolopyridines and Pyrazolopyrimidines as Functional Dipolar Scaffolds: An Approach Regarding Synthesis and Photophysics

by Silvia Cruz and Jaime Portilla

Chemistry 2025, 7(4), 106; https://doi.org/10.3390/chemistry7040106 - 24 Jun 2025

Abstract

Pyrazolopyridines and pyrazolopyrimidines are 5:6 aza-fused N-heteroaromatic compounds (NHACs) comprising a pyrazole ring fused to a pyridine or pyrimidine ring. They exhibit dipolar behavior due to their π-excessive and π-deficient characteristics conferred by their five- and six-membered rings. These features favor their stability, [...] Read more.

Pyrazolopyridines and pyrazolopyrimidines are 5:6 aza-fused N-heteroaromatic compounds (NHACs) comprising a pyrazole ring fused to a pyridine or pyrimidine ring. They exhibit dipolar behavior due to their π-excessive and π-deficient characteristics conferred by their five- and six-membered rings. These features favor their stability, reactivity, and structural diversity, offering numerous modular and functional derivatives (e.g., pyrazolo[1,2-a]pyridines, pyrazolo[1,5-a]pyrimidines, etc.). They have been utilized to obtain relevant chemicals in pharmaceuticals, photophysics, industry, and materials science; thus, their synthesis is highly desirable for discovering novel or improved applications. Therefore, this review focuses on recent advances in the synthesis and applications of these compounds, considering reports from the last decade (2015–2024), with particular emphasis on photophysics, as they contain dipolar 5:6 aza-fused rings as essential scaffolds for this purpose. Full article

(This article belongs to the Section Molecular Organics)

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Graphical abstract

16 pages, 412 KiB

Open AccessArticle

Naandamo: Indigenous Connections to Underwater Heritage, Settler Colonialism, and Underwater Archaeology in the North American Great Lakes

by Ashley Lemke and Mark Freeland

Heritage 2025, 8(7), 246; https://doi.org/10.3390/heritage8070246 - 24 Jun 2025

Abstract

The North American Great Lakes offer a dynamic case study of inundated cultural landscapes. These bodies of water and the life around them have never been static. While submerged lands offer avenues for archaeological research, it is essential to first understand that these [...] Read more.

The North American Great Lakes offer a dynamic case study of inundated cultural landscapes. These bodies of water and the life around them have never been static. While submerged lands offer avenues for archaeological research, it is essential to first understand that these cultural landscapes have also been flooded with invasive power dynamics through settler colonialism. For example, the land and water systems in Anishinaabe Akiing (the northern Great Lakes) have fundamentally shifted from flourishing life systems to poisoned areas and now struggle to deal with invasive species. When seeking to learn from or otherwise engage Indigenous knowledge, it is essential to work from a perspective that takes all these changes into consideration. There are Indigenous communities who are interested in these inundated landscapes, and in this research, but a pause, naandamo, is needed to ethically consider the ongoing process of settler colonialism and Indigenous perspectives. Here we address ethical considerations for researchers participating in, or interested in participating in, submerged site research. By incorporating settler colonialism as a methodology of understanding, we will provide an ethical starting place for working with Indigenous communities and inundated landscapes. Full article

(This article belongs to the Special Issue Navigating Indigenous Connections to Underwater Heritage in the Contemporary Era)

14 pages, 1148 KiB

Open AccessArticle

Which B2 Fractures Can Be Treated with ORIF? Validation of the “Beyond the Vancouver Classification”

by Karl Stoffel, Martin Clauss and Marlene Mauch

Medicina 2025, 61(7), 1138; https://doi.org/10.3390/medicina61071138 - 24 Jun 2025

Abstract

Background and objectives: The objective was to validate the Beyond the Vancouver classification. Based on this algorithm, it was hypothesized that cemented polished tapered stems with an intact cement mantle and cementless stable stems with defined criteria could be classified as stable and [...] Read more.

Background and objectives: The objective was to validate the Beyond the Vancouver classification. Based on this algorithm, it was hypothesized that cemented polished tapered stems with an intact cement mantle and cementless stable stems with defined criteria could be classified as stable and therefore treated with open reduction and internal fixation (ORIF). Materials and Methods: This retrospective, single-center cohort study re-analyzed patients initially diagnosed with Vancouver type B2 fractures treated with ORIF between 2007 and 2020. Clinical and radiological outcomes were extracted from medical reports. A combined radiological and clinical score was used as the main outcome measure. Patients categorized according to the Beyond the Vancouver classification were compared for functional outcome. Results: 42 patients (25 male, 17 female) with a median (range) age of 83 years (75–88 years) and follow-up time of 25 weeks (12–35 weeks) were reviewed. It was found that ORIF achieved excellent or good results in 81% of cases for stems classified as stable (n = 16) and in 30% of cases for stems classified as loose (n = 23). Successful cases (30%), although classified as loose, all had the same fracture pattern: an intact greater trochanter and a fracture fragment attached laterally to the stem with distal fixation of the stem. Conclusions: This case series suggests that certain Vancouver B2 fractures can be treated with ORIF. The Beyond the Vancouver classification may support the categorization of ‘stable’ and ‘loose’ stems. The validity of the algorithm was supported by the observation that ORIF provided excellent and good results for the majority of stems classified as ‘stable’, but poor results for stems classified as ‘loose’. Furthermore, the fracture pattern has been shown to be a crucial factor that should be considered when treating distally fixed cementless stems. The classification was therefore expanded to include the specific fracture patterns in cementless distally fixed stems that can be successfully treated with ORIF. The Beyond the Vancouver classification can provide further guidance in the identification of ‘loose’ or ‘stable’ stems. Full article

(This article belongs to the Section Orthopedics)

21 pages, 6959 KiB

Open AccessArticle

Design and Implementation of an Electrolyte Temperature Control System for AgO-Al Batteries

by Zhaoliang Dou, Qingyan Tang, Zhuangzhuang Du, Yue Du, Shuang Li and Fengbin Liu

Batteries 2025, 11(7), 244; https://doi.org/10.3390/batteries11070244 - 24 Jun 2025

Abstract

AgO-Al batteries generate substantial heat during discharge, and inadequate heat dissipation can degrade battery performance and pose thermal runaway risks. To meet thermal control requirements for experimental scenarios, a feedback-controlled thermal management system was developed. Computational fluid dynamics was employed to analyze the [...] Read more.

AgO-Al batteries generate substantial heat during discharge, and inadequate heat dissipation can degrade battery performance and pose thermal runaway risks. To meet thermal control requirements for experimental scenarios, a feedback-controlled thermal management system was developed. Computational fluid dynamics was employed to analyze the effects of seawater flow rate, seawater temperature, electrolyte flow rate, and initial electrolyte temperature on electrolyte outlet temperature and heat dissipation capacity. Results indicate that heat dissipation capacity is negatively correlated with seawater temperature and positively correlated with electrolyte inlet temperature. It increases with higher seawater and electrolyte flow rates, though the increase becomes negligible when the seawater flow rate exceeds 10 m/s. The designed system adapts to dynamic operating conditions via real-time parameter tuning. Experimental validation confirms its effectiveness in regulating electrolyte outlet temperature, achieving steady-state control accuracy within ±3 °C and a dynamic response time of less than 7 min—meeting thermal management requirements for battery test benches. This study provides critical data and technical support for developing temperature control technologies and performance testing of seawater-activated batteries. Full article

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32 pages, 2409 KiB

Open AccessArticle

Enhancing Mathematical Knowledge Graphs with Large Language Models

by Antonio Lobo-Santos and Joaquin Borrego-Díaz

Modelling 2025, 6(3), 53; https://doi.org/10.3390/modelling6030053 - 24 Jun 2025

Abstract

The rapid growth in scientific knowledge has created a critical need for advanced systems capable of managing mathematical knowledge at scale. This study presents a novel approach that integrates ontology-based knowledge representation with large language models (LLMs) to automate the extraction, organization, and [...] Read more.

The rapid growth in scientific knowledge has created a critical need for advanced systems capable of managing mathematical knowledge at scale. This study presents a novel approach that integrates ontology-based knowledge representation with large language models (LLMs) to automate the extraction, organization, and reasoning of mathematical knowledge from LaTeX documents. The proposed system enhances Mathematical Knowledge Management (MKM) by enabling structured storage, semantic querying, and logical validation of mathematical statements. The key innovations include a lightweight ontology for modeling hypotheses, conclusions, and proofs, and algorithms for optimizing assumptions and generating pseudo-demonstrations. A user-friendly web interface supports visualization and interaction with the knowledge graph, facilitating tasks such as curriculum validation and intelligent tutoring. The results demonstrate high accuracy in mathematical statement extraction and ontology population, with potential scalability for handling large datasets. This work bridges the gap between symbolic knowledge and data-driven reasoning, offering a robust solution for scalable, interpretable, and precise MKM. Full article

16 pages, 1991 KiB

Open AccessArticle

Dynamics of Nutrient Components and Microbial Communities in Substrates During the Development of the Fruiting Bodies of Volvariella volvacea

by Le Wang, Qin Dong, Qian Guo, Lei Zha, Lin Yang, Changxia Yu and Yan Zhao

J. Fungi 2025, 11(7), 479; https://doi.org/10.3390/jof11070479 - 24 Jun 2025

Abstract

Cotton waste, a growth medium for Volvariella volvacea, has significant commercial and nutritional value. Under controlled environmental conditions, substrate nutrient composition and microorganisms affect the growth of V. volvacea. In this study, the changes in the nutrient content of the substrate [...] Read more.

Cotton waste, a growth medium for Volvariella volvacea, has significant commercial and nutritional value. Under controlled environmental conditions, substrate nutrient composition and microorganisms affect the growth of V. volvacea. In this study, the changes in the nutrient content of the substrate at different stages of fruiting body development were compared based on an 86% waste cotton substrate, and microbial diversity was studied via 16S rRNA analysis. The results indicated that there were significant differences in nutrient content in the substrate at different stages of fruiting body development. The total contents of carbon, nitrogen, and phosphorus initially increased but then decreased due to nutrient absorption and utilization by V. volvacea. It was also found that large amounts of organic nitrogen decomposed into more readily utilizable inorganic nitrogen. The nutritional content and microbial community structure of the substrate during the egg stage significantly differed from those during the other four stages, making the egg stage the most critical period in cultivation. Through correlation analysis between nutrient content and microbial differences, it was found that differential microbial taxa (Beijerinckiaceae, Burkholderiales, Chitinophaga jiangningensis, etc.) with nitrogen fixation, denitrification, and cellulose decomposition functions were significantly related to carbon- and nitrogen-related indicators such as nitrate nitrogen, microbial biomass carbon, and alkali-hydrolyzed nitrogen. These microorganisms play important roles in determining the variation in the nutritional profile of the substrate. This study provides a theoretical basis for promoting the absorption and utilization of nutrients by V. volvacea by altering the structure of the microbial community of the growth substrate. Full article

(This article belongs to the Special Issue Edible and Medicinal Macrofungi, 4th Edition)

5 pages, 160 KiB

Open AccessEditorial

Advances and Future Challenges in Microbial Food Safety: Volume I

by Maria Lavilla and Félix Amárita

Foods 2025, 14(13), 2231; https://doi.org/10.3390/foods14132231 - 24 Jun 2025

Abstract

Consumers’ growing demand for products with adequate nutritional, physicochemical, and sensory characteristics has challenged both the food industry (including the food production sector) and researchers, necessitating a constant effort in the development of innovative strategies to manufacture new products with optimal characteristics that [...] Read more.

Consumers’ growing demand for products with adequate nutritional, physicochemical, and sensory characteristics has challenged both the food industry (including the food production sector) and researchers, necessitating a constant effort in the development of innovative strategies to manufacture new products with optimal characteristics that ensure food safety at the same time [...] Full article

(This article belongs to the Special Issue Advance and Future Challenges to Microbial Food Safety)

11 pages, 302 KiB

Open AccessReview

Optimizing Antibiotic Choice, Administration, and Duration in NSTI Treatment

by Devorah Howell, Rachael Edgin, Aliya Rehman and Ronald Rabinowitz

Bioengineering 2025, 12(7), 691; https://doi.org/10.3390/bioengineering12070691 - 24 Jun 2025

Abstract

Necrotizing soft tissue infections (NSTIs) are serious and aggressive infections which can result in significant morbidity and mortality. Both prompt surgical intervention and early antibiotics can decrease patient mortality. Based on microbiology, NSTIs can be categorized into four different types. Type I is [...] Read more.

Necrotizing soft tissue infections (NSTIs) are serious and aggressive infections which can result in significant morbidity and mortality. Both prompt surgical intervention and early antibiotics can decrease patient mortality. Based on microbiology, NSTIs can be categorized into four different types. Type I is polymicrobial, caused by a mix of both anaerobic and aerobic bacteria. Type II is monomicrobial, usually caused by either Streptococcus or Staphylococcus. Type III infections are caused by Gram-negative bacteria, often marine-related organisms, such as Vibrio. Lastly, Type IV infections are caused by fungi, and they are often associated with trauma. Despite the possibility of all these different pathogens in NSTI, early therapy often consists of a broad Gram-positive antimicrobial such as linezolid or vancomycin, and a broad Gram-negative agent such as piperacillin/tazobactam. Multiple factors including patient comorbidities, environmental exposures, and clinical presentation must also be considered when choosing antimicrobial agents and dosing. Adjunct medical therapies such as intravenous immunoglobulin (IVIG) and the antibiotics clindamycin and linezolid that are aimed at toxin suppression may be utilized to improve outcomes. Microbiological data are critical for optimizing the antimicrobial regimen. Full article

(This article belongs to the Special Issue Surgical Wound Infections and Management)

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17 pages, 1624 KiB

Open AccessReview

Arsenic in Water and Food: Toxicity and Human Exposure

by Pierina Visciano

Foods 2025, 14(13), 2229; https://doi.org/10.3390/foods14132229 - 24 Jun 2025

Abstract

Arsenic is a human carcinogen present in drinking water and food, especially rice, rice products and seafood. It can be found in both organic and inorganic forms, the latter being the most toxic. In addition to the carcinogenic effect, exposure to inorganic arsenic [...] Read more.

Arsenic is a human carcinogen present in drinking water and food, especially rice, rice products and seafood. It can be found in both organic and inorganic forms, the latter being the most toxic. In addition to the carcinogenic effect, exposure to inorganic arsenic can cause numerous disorders in different organs/systems of the human body, such as the skin, cardiovascular, neurological, endocrine, immune, and reproductive systems. The risk assessment associated with dietary arsenic is mainly based on the margin of exposure, i.e., the ratio between the dose at which a small but measurable adverse effect may occur and the estimated daily intake of the target substance. It is mainly influenced by arsenic concentrations and consumption data of average or 95th percentile consumers. This review focuses on the toxicity of arsenic, its sources and routes of human exposure, with particular attention to the ingestion of contaminated water and food, considering the differences between age groups and dietary habits. Full article

(This article belongs to the Special Issue Advances in Food Toxin Analysis and Risk Assessment)

47 pages, 1064 KiB

Open AccessReview

Innovative Technologies Reshaping Meat Industrialization: Challenges and Opportunities in the Intelligent Era

by Qing Sun, Yanan Yuan, Baoguo Xu, Shipeng Gao, Xiaodong Zhai, Feiyue Xu and Jiyong Shi

Foods 2025, 14(13), 2230; https://doi.org/10.3390/foods14132230 - 24 Jun 2025

Abstract

The Fourth Industrial Revolution and artificial intelligence (AI) technology are driving the transformation of the meat industry from mechanization and automation to intelligence and digitization. This paper provides a systematic review of key technological innovations in this field, including physical technologies (such as [...] Read more.

The Fourth Industrial Revolution and artificial intelligence (AI) technology are driving the transformation of the meat industry from mechanization and automation to intelligence and digitization. This paper provides a systematic review of key technological innovations in this field, including physical technologies (such as smart cutting precision improved to the millimeter level, pulse electric field sterilization efficiency exceeding 90%, ultrasonic-assisted marinating time reduced by 12 h, and ultra-high-pressure processing extending shelf life) and digital technologies (IoT real-time monitoring, blockchain-enhanced traceability transparency, and AI-optimized production decision-making). Additionally, it explores the potential of alternative meat production technologies (cell-cultured meat and 3D bioprinting) to disrupt traditional models. In application scenarios such as central kitchen efficiency improvements (e.g., food companies leveraging the “S2B2C” model to apply AI agents, supply chain management, and intelligent control systems, resulting in a 26.98% increase in overall profits), end-to-end temperature control in cold chain logistics (e.g., using multi-array sensors for real-time monitoring of meat spoilage), intelligent freshness recognition of products (based on deep learning or sensors), and personalized customization (e.g., 3D-printed customized nutritional meat products), these technologies have significantly improved production efficiency, product quality, and safety. However, large-scale application still faces key challenges, including high costs (such as the high investment in cell-cultured meat bioreactors), lack of standardization (such as the absence of unified standards for non-thermal technology parameters), and consumer acceptance (surveys indicate that approximately 41% of consumers are concerned about contracting illnesses from consuming cultured meat, and only 25% are willing to try it). These challenges constrain the economic viability and market promotion of the aforementioned technologies. Future efforts should focus on collaborative innovation to establish a truly intelligent and sustainable meat production system. Full article

(This article belongs to the Special Issue Mechanism and Engineering Research on Processing, Storage and Preservation of Fresh Food: 2nd Edition)

23 pages, 1339 KiB

Open AccessReview

Functional Modification and Applications of Rice Starch Emulsion Systems Based on Interfacial Engineering

by Pingyuan Ge, Ye Tian, Heng Yan, Qingqing Li, Tianle Yao, Jie Yao, Liuyu Xiao, Meng Zhu and Yu Han

Foods 2025, 14(13), 2228; https://doi.org/10.3390/foods14132228 - 24 Jun 2025

Abstract

Rice starch, as one of the most abundant and renewable polysaccharide resources in nature, holds great potential for applications in the food, pharmaceutical, and industrial fields due to its wide availability, low cost, and biodegradability. However, its inherent limitations—such as susceptibility to retrogradation [...] Read more.

Rice starch, as one of the most abundant and renewable polysaccharide resources in nature, holds great potential for applications in the food, pharmaceutical, and industrial fields due to its wide availability, low cost, and biodegradability. However, its inherent limitations—such as susceptibility to retrogradation and poor emulsifying capacity—have hindered its development into high-value-added products. Emulsion technology presents a promising strategy to overcome these challenges by constructing stable oil–water interfacial systems using various stabilizers. This review highlights recent advances in the functional modification of rice starch through emulsion-based techniques, with a particular focus on four key approaches: polysaccharide–protein complexation, chemical and physical modifications, Pickering emulsions, and microcapsule formation. These strategies significantly improve the emulsifying ability of rice starch, inhibit retrogradation, and expand its potential applications in sustained drug delivery, functional foods, and intelligent packaging. Overall, interfacial engineering of rice starch offers an innovative and effective pathway for its high-value utilization, demonstrating substantial promise for future industrial applications. Full article

(This article belongs to the Special Issue Physicochemical Characteristics of Food Polysaccharides, Starches, and Gels)

12 pages, 853 KiB

Open AccessArticle

Performance Analysis of Space-to-Ground Downlink for Polarization Shift Keying Optical Communications with a Gaussian-Schell Model Beam

by Jiajie Wu, Yuwei Zhang, Qingyan Li, Siyuan Yu and Jianjie Yu

Photonics 2025, 12(7), 643; https://doi.org/10.3390/photonics12070643 - 24 Jun 2025

Abstract

Free-space optical communication has emerged as a pivotal technology for space-to-ground downlinks; however, signal degradation caused by atmospheric turbulence continues to pose a significant challenge. In this study, a model for the polarization transmission characteristics of a Gaussian-Schell model (GSM) beam in downlink [...] Read more.

Free-space optical communication has emerged as a pivotal technology for space-to-ground downlinks; however, signal degradation caused by atmospheric turbulence continues to pose a significant challenge. In this study, a model for the polarization transmission characteristics of a Gaussian-Schell model (GSM) beam in downlink was established, and conditions sufficient for maintaining the polarization transmission characteristics were derived. The impact of the source spatial coherence on the performance of optical communication systems using circular polarization shift keying (CPolSK) modulation was investigated. Additionally, models for the probability density distribution and scintillation index of the optical intensity under atmospheric turbulence were developed along with a bit error rate model for the optical communication system. The effects of the laser spatial coherence on these models were also analyzed. The results indicate that the optimal performance in the turbulent downlink is achieved with fully coherent light, where the GSM-beam-based CPolSK-modulated system demonstrates a reduction of 1.51 dB in the required power compared to that of an on–off keying system. The implications of this study suggest that optimizing spatial coherence could significantly enhance the reliability of space-to-ground communication systems under atmospheric disturbances. Full article

(This article belongs to the Special Issue Advanced Methods in Exploring Light–Matter Interactions and Nonlinear Effects Optics Applications)

17 pages, 4710 KiB

Open AccessArticle

Differential Pasting and Rheological Properties of Diverse Underutilized Starches Modified by Acetic Anhydride and Vinyl Acetate

by Song Xu, Bilatu Agza Gebre, Chuangchuang Zhang, Solomon Abate Mekonnen, Mengting Ma, Hui Zhang, Zhongquan Sui and Harold Corke

Foods 2025, 14(13), 2227; https://doi.org/10.3390/foods14132227 - 24 Jun 2025

Abstract

Underutilized starch sources are gaining increasing recognition. However, the inherent functional deficiencies of native starch have limited its application in food industry. To counteract the deficiencies in its native characteristics, starch can be modified by acetylation. Two waxy starches (proso millet and amaranth) [...] Read more.

Underutilized starch sources are gaining increasing recognition. However, the inherent functional deficiencies of native starch have limited its application in food industry. To counteract the deficiencies in its native characteristics, starch can be modified by acetylation. Two waxy starches (proso millet and amaranth) and four non-waxy starches (foxtail millet, quinoa, buckwheat, and oat) were modified by acetic anhydride and vinyl acetate, respectively. Degree of substitution of acetylated starches revealed that granule size did not significantly affect acetylation efficiency in starches from different plant origins. Acetylation increased peak and final viscosity of starches, with vinyl acetate exhibiting a more pronounced effect than acetic anhydride. Acetic anhydride decreased K and increased n values of non-waxy starches, showing reduced thickening ability. In contrast, vinyl acetate modification showed opposite trends, suggesting increased viscosity and pseudoplasticity. For non-waxy starches, G′_25°C, G′_0.1Hz, G′_20Hz and gel hardness decreased after acetylation, indicating that acetylation contributed to a less solid and less elastic gel network. The extent of change in vinyl acetate modification was more pronounced than that of acetic anhydride. For waxy starch, vinyl acetate modification decreased tan δ_25°C and increased gel hardness. In summary, acetylation reagent type was the major factor determining the pasting properties of acetylated starch, but the presence or absence of amylose would influence the rheological and gel properties of acetic anhydride and vinyl acetate modified starches. These findings could help unlock the potential applications of acetylated underutilized starches in the food industry. Full article

(This article belongs to the Special Issue Starch: Properties and Functionality in Food Systems)

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13 pages, 530 KiB

Open AccessArticle

Synthesis of Natural Carboxylic Acids and Alcohols from Cinnamon cassia Oil via Green Chemistry

by Gökhan Özokan, Abdulkerim Bilginer and Mustafa Kemal Gümüş

Processes 2025, 13(7), 2002; https://doi.org/10.3390/pr13072002 - 24 Jun 2025

Abstract

Benzoic acid and benzyl alcohol are the most used raw materials in cosmetics and pharmaceutical industries as preservative ingredients. Cinnamon cassia oil is an important natural starting material to synthesize organic compounds because it contains a high amount of cinnamaldehyde and benzaldehyde. Thanks [...] Read more.

Benzoic acid and benzyl alcohol are the most used raw materials in cosmetics and pharmaceutical industries as preservative ingredients. Cinnamon cassia oil is an important natural starting material to synthesize organic compounds because it contains a high amount of cinnamaldehyde and benzaldehyde. Thanks to green chemistry techniques using mild solvents such as water and ethanol, as well as low-cost and safe reagents such as potassium permanganate, and sodium borohydride, this natural starting material was used to synthesize high yields of benzoic acid, benzyl alcohol, cinnamyl alcohol, phenylpropanol, and cinnamic acid; these products are used in cosmetics, pharmaceutical, and food industries. Various reaction conditions were applied to find convenient green chemistry procedures. Equivalents (molar) of catalysts to starting materials were optimized. The highest yields (60–90%) were achieved using water as a solvent, potassium permanganate as an oxidation catalyst, and sodium borohydride as a reduction catalyst. Water was used as a solvent in all reactions except phenylpropanol. The uses of a single natural starting material, water as a solvent, and mild reagents to synthesize five important organic compounds are all in line with green chemistry techniques. Full article

(This article belongs to the Special Issue Circular Economy on Production Processes and Systems Engineering)

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13 pages, 1671 KiB

Open AccessArticle

Research on Metal Mesh Coupling Mirrors Utilizing Metasurfaces for Optically Pumped Gas THz Lasers

by Lijie Geng, Zhenxiang Fu, Shuaifei Song, Chenglong Bi, Wenyan Zhang, Ruiliang Zhang, Kun Yang and Yanchen Qu

Photonics 2025, 12(7), 642; https://doi.org/10.3390/photonics12070642 - 24 Jun 2025

Abstract

Optically pumped gas terahertz (THz) lasers (OPGTLs) as reliable sources of THz radiation have been extensively utilized within THz application areas. In this paper, a substrate-free metal mesh coupler based on the metasurfaces principle was designed for continuous wave OPGTL, which is suitable [...] Read more.

Optically pumped gas terahertz (THz) lasers (OPGTLs) as reliable sources of THz radiation have been extensively utilized within THz application areas. In this paper, a substrate-free metal mesh coupler based on the metasurfaces principle was designed for continuous wave OPGTL, which is suitable for the Fabry–Perot (FP) THz resonator. The parameters of substrate-free metal mesh are calculated by the Ulrich equivalent circuit model, and the influence of metal mesh period and linewidth on its transmittance is analyzed quantitatively. Taking the THz laser with the 118.8 µm of CH₃OH optically pumped by the 9.6 µm CO₂ laser line for instance, two kinds of metal mesh were devised as input and output couplers of the resonator, and the transmittance and reflectance of the metal meshes are verified by the finite-difference time-domain (FDTD) method. Furthermore, the transmitted and reflected light fields of the FP resonant cavity metal mesh mirrors were simulated by using the FDTD method under the vertical incidence of both pump light and THz waves. Validation of the optical field characteristics of the substrate-free metal meshes confirmed their suitability as ideal input and output coupling cavity mirrors for FP resonant cavities in optically pumped gas THz lasers. Full article

(This article belongs to the Special Issue Recent Advances in Infrared Lasers and Applications)

17 pages, 4408 KiB

Open AccessArticle

Fishing Vessel Trawl Winch Tension Control: A BP Neural Network PID Feedforward Control Method Based on NARX Neural Network Prediction

by Quanliang Liu, Ya Wang and Mingwei Xu

Processes 2025, 13(7), 2001; https://doi.org/10.3390/pr13072001 - 24 Jun 2025

Abstract

In order to solve the problems of the poor adaptability to nonlinear systems, cumbersome parameter adjustment, and sensing-execution delay facing PID control for trawl winch tension control on fishing vessels, a prediction model for trawl winch cable tension was developed using a NARX [...] Read more.

In order to solve the problems of the poor adaptability to nonlinear systems, cumbersome parameter adjustment, and sensing-execution delay facing PID control for trawl winch tension control on fishing vessels, a prediction model for trawl winch cable tension was developed using a NARX neural network. The network was trained using historical data to achieve the accurate prediction of the trawl winch cable tension value in the future moment. The predicted value of the NARX neural network was introduced into the BP-PID controller as a feedforward quantity, and a BP-PID feedforward control strategy based on the prediction of the NARX neural network was designed. The simulation results in MATLAB software version: 9.13.0 (R2022b) show that, in comparison with the conventional PID control method, the BP-PID feedforward control strategy based on NARX neural network prediction substantially minimizes the fluctuation in trawl winch tension, enhances the control accuracy and robustness, and demonstrates excellent control performance under various sea states and load conditions. Full article

(This article belongs to the Section Process Control and Monitoring)

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15 pages, 5596 KiB

Open AccessArticle

Constant Power Charging Control Method for Isolated Vehicle-to-Vehicle Energy Transfer Converter

by Litong Zheng, Haoran Zhang, Xiuyu Zhang and Hongwei Li

Processes 2025, 13(7), 1999; https://doi.org/10.3390/pr13071999 - 24 Jun 2025

Abstract

With the proliferation of electric vehicles (EVs), vehicle-to-vehicle (V2V) energy transfer has emerged as a critical technology for dynamic energy complementarity. This technology addresses “range anxiety”, thereby supporting carbon neutrality goals through the enhanced utilization of renewable-powered EVs. In order to achieve fast, [...] Read more.

With the proliferation of electric vehicles (EVs), vehicle-to-vehicle (V2V) energy transfer has emerged as a critical technology for dynamic energy complementarity. This technology addresses “range anxiety”, thereby supporting carbon neutrality goals through the enhanced utilization of renewable-powered EVs. In order to achieve fast, safe V2V charging and improve device portability, it is necessary to optimize the charging mode and simplify the device. Therefore, this paper proposes a hierarchical control strategy for constant power (CP) charging in a V2V device with a dual-active-bridge (DAB) converter topology. First, different from traditional constant voltage (CV) and constant current (CC) charging, a unified nonlinear DAB model integrating CV/CP/CC charging modes is proposed. Furthermore, sensorless current estimation based on finite-time disturbance observers further reduced the size of the device. Finally, a hierarchical control architecture was constructed by combining backstepping control theory, which ensures global stability of multi-stage charging processes through the dynamic adjustment of phase-shift ratios. The effectiveness of the proposed methodology was validated through simulation and hardware-in-the-loop experimental results. Full article

(This article belongs to the Special Issue Energy Storage Planning, Control, and Dispatch for Grid Dynamic Enhancement)

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