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19 pages, 360 KiB

Open AccessReview

The Association Between Lifestyle Interventions and Trimethylamine N-Oxide: A Systematic-Narrative Hybrid Literature Review

by Xenophon Theodoridis, Androniki Papaemmanouil, Niki Papageorgiou, Christos Savopoulos, Michail Chourdakis and Areti Triantafyllou

Nutrients 2025, 17(7), 1280; https://doi.org/10.3390/nu17071280 (registering DOI) - 6 Apr 2025

Abstract

Background: Trimethylamine N-oxide (TMAO) is a gut- and food-derived molecule. Elevated TMAO concentrations have been associated with an increased risk of cardiovascular disease (CVD) and all-cause mortality, highlighting its significance as a potential biomarker for adverse health outcomes. Given these associations, it is [...] Read more.

Background: Trimethylamine N-oxide (TMAO) is a gut- and food-derived molecule. Elevated TMAO concentrations have been associated with an increased risk of cardiovascular disease (CVD) and all-cause mortality, highlighting its significance as a potential biomarker for adverse health outcomes. Given these associations, it is hypothesized that lifestyle interventions, such as healthy dietary patterns and exercise, could reduce TMAO concentrations. The aim of this systematic–narrative hybrid literature review was to evaluate the relationship between various lifestyle interventions and TMAO. Methods: MEDLINE (via PubMed^®), Scopus^®, and grey literature were searched until July 2024 for eligible clinical trials. Case reports, case series, case studies and observational studies were excluded, as well as studies that investigated food products, nutraceuticals, dietary supplements or have been conducted in the pediatric population. Results: In total, 27 studies were included in this review. While some dietary interventions, such as plant-based, high-dairy, very low-calorie ketogenic diet or the Mediterranean diet, were associated with lower TMAO concentrations, others—including high-protein and high-fat diets—were linked to an increase in TMAO concentrations. Studies that incorporated a combination of nutrition and exercise-based intervention presented neutral results. Conclusions: The relationship between dietary interventions and TMAO concentration remains controversial. While certain interventions show promise in reducing TMAO levels, others yield mixed or contradictory outcomes. Further research, including well-structured RCTs, is needed to investigate the aforementioned associations. Full article

(This article belongs to the Special Issue Diet, Nutrition and Cardiovascular Health)

25 pages, 487 KiB

Open AccessArticle

A Testing and Evaluation Framework for Indoor Navigation and Positioning Systems

by Zhang Zhang, Qu Wang, Wenfeng Wang, Meijuan Feng and Liangliang Guo

Sensors 2025, 25(7), 2330; https://doi.org/10.3390/s25072330 (registering DOI) - 6 Apr 2025

Abstract

The lack of a testing framework for various indoor positioning technologies brings huge challenges to the systematic and fair evaluation of positioning systems, which greatly hinders the development and industrialization of indoor positioning technology. In order to solve this problem, this article refers [...] Read more.

The lack of a testing framework for various indoor positioning technologies brings huge challenges to the systematic and fair evaluation of positioning systems, which greatly hinders the development and industrialization of indoor positioning technology. In order to solve this problem, this article refers to international standards, such as ISO/IEC 18305, and uses the China Electronics Standardization Institute’s rich experience in indoor positioning technology research and testing to build a universal positioning performance testing and evaluation framework. First, this paper introduces the experimental environment in detail from the aspects of the coordinate system definition, test point selection, building type definition, motion mode definition, and motion trajectory setting. Then, this paper comprehensively measures performance evaluation indicators from dimensions such as the accuracy index, relative accuracy, startup time, fault tolerance, power consumption, size, and cost. Finally, this paper elaborates on the testing methods and processes of positioning precision, accuracy, relative accuracy, floor identification, indoor–outdoor distinction, latency, relative accuracy, success rate, and movement speed tests. Full article

(This article belongs to the Section Navigation and Positioning)

15 pages, 3462 KiB

Open AccessArticle

Ionic Liquid Electrolyte Technologies for High-Temperature Lithium Battery Systems

by Eleonora De Santis, Annalisa Aurora, Sara Bergamasco, Antonio Rinaldi, Rodolfo Araneo and Giovanni Battista Appetecchi

Int. J. Mol. Sci. 2025, 26(7), 3430; https://doi.org/10.3390/ijms26073430 (registering DOI) - 6 Apr 2025

Abstract

The advent of the lithium-ion batteries (LIBs) has transformed the energy storage field, leading to significant advances in electronics and electric vehicles, which continuously demand more and more performant devices. However, commercial LIB systems are still far from satisfying applications operating in arduous [...] Read more.

The advent of the lithium-ion batteries (LIBs) has transformed the energy storage field, leading to significant advances in electronics and electric vehicles, which continuously demand more and more performant devices. However, commercial LIB systems are still far from satisfying applications operating in arduous conditions, such as temperatures exceeding 100 °C. For instance, safety issues, materials degradation, and toxic stem development, related to volatile, flammable organic electrolytes, and thermally unstable salts (LiPF₆), limit the operative temperature of conventional lithium-ion batteries, which only occasionally can exceed 50–60 °C. To overcome this highly challenging drawback, the present study proposes advanced electrolyte technologies based on innovative, safer fluids such as ionic liquids (ILs). Among the IL families, we have selected ionic liquids based on tetrabutylphosphonium and 1-ethyl-3-methyl-imidazolium cations, coupled with per(fluoroalkylsulfonyl)imide anions, for standing out because of their remarkable thermal robustness. The thermal behaviour as well as the ion transport properties and electrochemical stability were investigated even in the presence of the lithium bis(trifluoromethylsulfonyl)imide salt. Conductivity measurements revealed very interesting ion transport properties already at 50 °C, with ion conduction values ranging from 10⁻³ and 10⁻² S cm⁻¹ levelled at 100 °C. Thermal robustness exceeding 150 °C was detected, in combination with anodic stability above 4.5 V at 100 °C. Preliminary cycling tests run on Li/LiFePO₄ cells at 100 °C revealed promising performance, i.e., more than 94% of the theoretical capacity was delivered at a current rate of 0.5C. The obtained results make these innovative electrolyte formulations very promising candidates for high-temperature LIB applications and advanced energy storage systems. Full article

(This article belongs to the Special Issue Electrochemical Research of Metal Compounds and Its Energy Storage Applications)

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29 pages, 1960 KiB

Open AccessReview

Lactoferrin as a Candidate Multifunctional Therapeutic in Synucleinopathies

by Caroline A. Barros and Tuane C. R. G. Vieira

Brain Sci. 2025, 15(4), 380; https://doi.org/10.3390/brainsci15040380 (registering DOI) - 6 Apr 2025

Abstract

Lactoferrin (Lf) is a multifunctional glycoprotein with well-established antimicrobial, anti-inflammatory, and iron-binding properties. Emerging evidence suggests that Lf also plays a neuroprotective role, particularly in neurodegenerative disorders characterized by protein aggregation, such as Parkinson’s disease (PD). Alpha-synuclein (aSyn) aggregation is a pathological hallmark [...] Read more.

Lactoferrin (Lf) is a multifunctional glycoprotein with well-established antimicrobial, anti-inflammatory, and iron-binding properties. Emerging evidence suggests that Lf also plays a neuroprotective role, particularly in neurodegenerative disorders characterized by protein aggregation, such as Parkinson’s disease (PD). Alpha-synuclein (aSyn) aggregation is a pathological hallmark of PD and other synucleinopathies, contributing to neuronal dysfunction and disease progression. Recent studies indicate that Lf may interfere with aSyn aggregation, iron chelation, and modulation of oxidative stress and neuroinflammation. Additionally, Lf’s ability to cross the blood-brain barrier and its potential impact on the gut-brain axis highlight its promise as a therapeutic agent. This review explores Lf’s mechanisms of action in synucleinopathies, its potential as a disease-modifying therapy, and innovative delivery strategies that could enhance its clinical applicability. By addressing the pathological and therapeutic dimensions of aSyn aggregation, we propose Lf as a compelling candidate for future research and clinical development in neurodegenerative diseases. Full article

(This article belongs to the Special Issue Alpha-Synuclein in Neurodegenerative Disorders: From Pathogenesis to Potential Therapies)

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21 pages, 13198 KiB

Open AccessArticle

Infrared Bionic Compound-Eye Camera: Long-Distance Measurement Simulation and Verification

by Xiaoyu Wang, Linhan Li, Jie Liu, Zhen Huang, Yuhan Li, Huicong Wang, Yimin Zhang, Yang Yu, Xiupeng Yuan, Liya Qiu and Sili Gao

Electronics 2025, 14(7), 1473; https://doi.org/10.3390/electronics14071473 (registering DOI) - 6 Apr 2025

Abstract

To achieve rapid distance estimation and tracking of moving targets in a large field of view, this paper proposes an innovative simulation method. Using a low-cost approach, the imaging and distance measurement performance of the designed cooling-type mid-wave infrared compound-eye camera (CM-CECam) is [...] Read more.

To achieve rapid distance estimation and tracking of moving targets in a large field of view, this paper proposes an innovative simulation method. Using a low-cost approach, the imaging and distance measurement performance of the designed cooling-type mid-wave infrared compound-eye camera (CM-CECam) is experimentally evaluated. The compound-eye camera consists of a small-lens array with a spherical shell, a relay optical system, and a cooling-type mid-wave infrared detector. Based on the spatial arrangement of the small-lens array, a precise simulation imaging model for the compound-eye camera is developed, constructing a virtual imaging space. Distance estimation and error analysis for virtual targets are performed using the principle of stereo disparity. This universal simulation method provides a foundation for spatial design and image-plane adjustments for compound-eye cameras with specialized structures. Using the raw images captured by the compound-eye camera, a scene-specific piecewise linear mapping method is applied. This method significantly reduces the brightness contrast differences between sub-images during wide-field observations, enhancing image details. For the fast detection of moving targets, ommatidia clusters are defined as the minimal spatial constraint units. Local information at the centers of these constraint units is prioritized for processing. This approach replaces traditional global detection methods, improving the efficiency of subsequent processing. Finally, the simulated distance measurement results are validated using real-world scene data. Full article

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19 pages, 292 KiB

Open AccessArticle

National Development Planning and Sustainability: The Case of Bhutan

by Mark Turner and Dawa Wangchuk

Sustainability 2025, 17(7), 3261; https://doi.org/10.3390/su17073261 (registering DOI) - 6 Apr 2025

Abstract

Bhutan is a developmental success story that since the 1960s has consistently used five-year national development plans to make substantial socio-economic progress and promote sustainability. Many other developing countries had abandoned medium-term national planning by the 1980s, but Bhutan continued using these instruments [...] Read more.

Bhutan is a developmental success story that since the 1960s has consistently used five-year national development plans to make substantial socio-economic progress and promote sustainability. Many other developing countries had abandoned medium-term national planning by the 1980s, but Bhutan continued using these instruments as the principal mechanisms for developing the country and making substantial welfare gains for its population while attending to the sustainability of its development path and environment. Poverty has been greatly reduced, incomes have grown in real terms, life expectancy has markedly increased, there has been enormous growth in the provision of education and the country has become a world leader in environmental protection with 71% of Bhutan still under forest, making it the first carbon negative country in the world. The reasons for Bhutan’s success include always working within the capabilities of government, economy, and society; a demonstrated capacity to reorient development strategies with new plans; a stable political environment; good governance; the gradual inclusion of multiple stakeholders into the development process; a strong supportive relationship with neighbouring India; and the wise use of income from hydropower to fund development. Though there have been disruptions, mistakes, and failures in planning in Bhutan, the general trajectory of solid progress and continued attention to sustainability has been maintained; however, there are considerable challenges ahead for the ambitious Thirteenth Five-Year Plan (2024–2029). To investigate the Bhutanese experience, this article adopts a qualitative case study approach. Full article

(This article belongs to the Section Economic and Business Aspects of Sustainability)

27 pages, 11144 KiB

Open AccessArticle

Adaptive Backstepping Control with Time-Delay Compensation for MR-Damper-Based Vehicle Seat Suspension

by Heting Feng, Yunhu Zhou, Shaoqi Li, Gongxun Cheng, Shang Ma and Yancheng Li

Actuators 2025, 14(4), 178; https://doi.org/10.3390/act14040178 (registering DOI) - 6 Apr 2025

Abstract

Long-term vibrations endanger driver health and affect ride performance. Semi-active seat suspension systems equipped with magnetorheological (MR) dampers can effectively reduce vibrations transmitted to drivers, exhibiting excellent potential for widespread applications owing to their outstanding performance characteristics. In this paper, we propose an [...] Read more.

Long-term vibrations endanger driver health and affect ride performance. Semi-active seat suspension systems equipped with magnetorheological (MR) dampers can effectively reduce vibrations transmitted to drivers, exhibiting excellent potential for widespread applications owing to their outstanding performance characteristics. In this paper, we propose an adaptive backstepping control system with time-delay compensation (ABC-C) for an MR-damper-based semi-active seat suspension system to enhance ride comfort and stability in commercial vehicles. The control framework integrates a reference model, an adaptive backstepping controller, a time-delay compensator, and an MR damper inverse model. The reference model balances ride comfort and stability using high-pass and low-pass filters, while the adaptive controller ensures robustness against parameter uncertainties and disturbances. A time-delay compensator mitigates delays in the control loop, improving system stability and performance. Numerical simulations under harmonic, bump, and random excitations demonstrated the superior performance of the ABC-C controller. The experimental results show that under random road excitation conditions, the frequency-weighted root mean square (FW-RMS) of acceleration was reduced by 26.9%, the vibration dose value (VDV) decreased by 29.3%, and the root mean square of relative displacement (RMS_rd) was reduced by 58.46%. The results highlight the practical effectiveness of the ABC-C controller in improving ride comfort and safety for drivers of commercial vehicles, offering significant potential for real-world applications. Full article

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36 pages, 2920 KiB

Open AccessReview

Integrated Energy Storage Systems for Enhanced Grid Efficiency: A Comprehensive Review of Technologies and Applications

by Raphael I. Areola, Abayomi A. Adebiyi and Katleho Moloi

Energies 2025, 18(7), 1848; https://doi.org/10.3390/en18071848 (registering DOI) - 6 Apr 2025

Abstract

The rapid global shift toward renewable energy necessitates innovative solutions to address the intermittency and variability of solar and wind power. This study presents a comprehensive review and framework for deploying Integrated Energy Storage Systems (IESSs) to enhance grid efficiency and stability. By [...] Read more.

The rapid global shift toward renewable energy necessitates innovative solutions to address the intermittency and variability of solar and wind power. This study presents a comprehensive review and framework for deploying Integrated Energy Storage Systems (IESSs) to enhance grid efficiency and stability. By leveraging a Multi-Criteria Decision Analysis (MCDA) framework, this study synthesizes techno-economic optimization, lifecycle emissions, and policy frameworks to evaluate storage technologies such as lithium-ion batteries, pumped hydro storage, and vanadium flow batteries. The framework prioritizes hybrid storage systems (e.g., battery–supercapacitor configurations), demonstrating 15% higher grid stability in high-renewable penetration scenarios, and validates findings through global case studies, including the Hornsdale Power Reserve (90–95% round-trip efficiency) and Kauai Island Utility Cooperative (15,000+ cycles for flow batteries). Regionally tailored strategies, such as Kenya’s fast-track licensing and Germany’s H2Global auctions, reduce deployment timelines by 30–40%, while equity-focused policies like India’s SAUBHAGYA scheme cut energy poverty by 25%. This study emphasizes circular economy principles, advocating for mandates like the EU’s 70% lithium recovery target to reduce raw material costs by 40%. Despite reliance on static cost projections and evolving regulatory landscapes, the MCDA framework’s dynamic adaptation mechanisms, including sensitivity analysis for carbon taxes (USD 100/ton CO₂-eq boosts hydrogen viability by 25%), ensure scalability across diverse grids. This work bridges critical gaps in renewable energy integration, offering actionable insights for policymakers and grid operators to achieve resilient, low-carbon energy systems. Full article

(This article belongs to the Special Issue Advancements in Smart Energy Systems, Energy Storage, and Renewables Integration)

22 pages, 524 KiB

Open AccessArticle

Assessment of Non-Cereal Products Gluten Cross-Contamination Exposure Risk in a Polish Female Population of Patients Diagnosed with Coeliac Disease

by Dominika Skolmowska, Dominika Głąbska, Dominika Guzek and Frank Vriesekoop

Nutrients 2025, 17(7), 1281; https://doi.org/10.3390/nu17071281 (registering DOI) - 6 Apr 2025

Abstract

Background/Objectives: Following gluten-free diet is challenging, due to risk of gluten cross-contamination. The study aimed to assess the non-cereal products gluten cross-contamination exposure risk in patients with coeliac disease. Methods: The study was conducted in a population of 699 Polish female members of [...] Read more.

Background/Objectives: Following gluten-free diet is challenging, due to risk of gluten cross-contamination. The study aimed to assess the non-cereal products gluten cross-contamination exposure risk in patients with coeliac disease. Methods: The study was conducted in a population of 699 Polish female members of the Polish Coeliac Society purchasing gluten-free products on-line (445 patients, 254 relatives). Participants were asked about frequency of buying and availability of gluten-free alternatives of non-cereal products characterized by the gluten cross-contamination risk (‘hidden’ gluten sources). Results: The most frequently bought non-cereal gluten-free alternatives of the ‘hidden’ gluten sources were baking powders, spices, side dishes, ice cream, chocolate and chocolate products, snack bars and candies. The caregivers often declared buying ‘often’ gluten-free baking powder, snack bars, chocolate and chocolate products, candies, ice cream, as well as often declared problems with the availability of gluten-free spices, chocolate and chocolate products, while patients often declared buying ‘often’ gluten-free beer, as well as often declared problems with its availability. The older respondents often declared buying ‘often’ gluten-free baking powder, while younger respondents often declared buying ‘often’ gluten-free chocolate and chocolate products, as well as often declared problems with the availability of gluten-free instant soups, and beer. The respondents living in small towns/villages often declared problems with the availability of gluten-free powder sauces. The respondents not purchasing in hypermarkets often declared buying ‘often’ gluten-free baking powder, spices, candies. The respondents who most often purchased gluten-free products often declared problems with the availability of gluten-free side dishes, chocolate and chocolate products. Conclusions: The majority of patients diagnosed with coeliac disease do not buy a number of gluten-free alternatives of the ‘hidden’ gluten sources, so they may be prone to gluten exposure, due to non-cereal products’ gluten cross-contamination risk. Full article

(This article belongs to the Special Issue Coeliac Disease: Addressing Nutritional Challenges and Dietary Practices)

23 pages, 7120 KiB

Open AccessArticle

Photocatalytic Activity of Cu₂O-Loaded TiO₂ Heterojunction Composites for the Simultaneous Removal of Organic Pollutants and Bacteria in Indoor Air

by Mabrouk Abidi, Amine Aymen Assadi, Salma Aouida, Hichem Tahraoui, Lotfi Khezami, Jie Zhang, Abdeltif Amrane and Anouar Hajjaji

Catalysts 2025, 15(4), 360; https://doi.org/10.3390/catal15040360 (registering DOI) - 6 Apr 2025

Abstract

This research investigates the enhanced photocatalytic activity of cuprous oxide (Cu₂O) nanoparticles (NPs)-titanium dioxide (TiO₂) nanotube (NT) composites for air purification, focusing on the removal of volatile organic compounds (VOCs) and Escherichia coli (E. coli) bacteria under [...] Read more.

This research investigates the enhanced photocatalytic activity of cuprous oxide (Cu₂O) nanoparticles (NPs)-titanium dioxide (TiO₂) nanotube (NT) composites for air purification, focusing on the removal of volatile organic compounds (VOCs) and Escherichia coli (E. coli) bacteria under simulated sunny light. Cu₂O-NPs were successfully deposited onto TiO₂-NTs via the successive ionic layer adsorption and reaction method. The resulting p- and n-type semiconductor heterojunction nanocomposites were characterized using various techniques, including scanning electron microscopy, transmission electron microscopy, ultraviolet–visible-light spectroscopy, and chlorinated radicals. The photocatalytic activity was evaluated for different VOCs present in indoor air (butadione, chloroform, and butyraldehyde) in the presence of E. coli bacteria. The results showed that the Cu₂O-NPs/TiO₂-NTs composites exhibited enhanced photocatalytic activity compared to pure TiO₂-NTs. The Langmuir–Hinshelwood model was used to describe the degradation kinetics, revealing that Cu₂O loading and the nature of the target pollutant influence the photocatalytic efficiency. This study has also highlighted the role of chlorinated radicals in the degradation process, especially for chloroform. The degradation process of chloroform generated chlorine radicals, which not only contributed to the degradation of other VOCs, but also enhanced the overall oxidative capacity of the system. This synergistic effect was observed to accelerate pollutant removal and improve the antibacterial efficacy against E. coli. The Cu₂O-NPs/TiO₂-NTs composites demonstrated significant reusability and antibacterial properties, highlighting their potential for sustainable indoor air purification applications. Full article

(This article belongs to the Section Photocatalysis)

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23 pages, 2986 KiB

Open AccessArticle

Microplastic Filtration by a Coastal Mangrove Wetland as a Novel Ecosystem Service

by Melinda Paduani, Michael Ross and Piero Gardinali

Microplastics 2025, 4(2), 15; https://doi.org/10.3390/microplastics4020015 (registering DOI) - 6 Apr 2025

Abstract

Biscayne Bay in southeastern Florida, USA, has experienced dramatic ecological declines due to pollution. The Biscayne Bay and Southeastern Everglades Ecosystem Restoration will deliver water from a canal adjacent to coastal mangroves, intercepting pollutants before they are deposited into the estuary. Given their [...] Read more.

Biscayne Bay in southeastern Florida, USA, has experienced dramatic ecological declines due to pollution. The Biscayne Bay and Southeastern Everglades Ecosystem Restoration will deliver water from a canal adjacent to coastal mangroves, intercepting pollutants before they are deposited into the estuary. Given their demonstrated capacity to filter nutrients and other contaminants from the water column, we hypothesized that mangrove wetlands also filter microplastics (“MPs”). Water and sediment samples were taken from 3 “zones”: the L-31E canal, a potential MP source; interior, dwarf mangroves; and coastal, tidal fringe mangroves. These three environments were replicated in coastal basins with and without canal culverts. MPs were expected to vary seasonally and be more abundant and larger in the dwarf zone and in low-bulk density sediments as particles settled into peat soils. In sediment, MPs were more abundant in the dry season (average 0.073 ± 0.102 (SD) MPs/g dw) before getting flushed by overland runoff resulting in greater concentrations in water during the wet season (average 0.179 ± 0.358 (SD) MPs/L). MPs were most abundant and larger in the low bulk density sediments of the dwarf zone, likely due to sheltering from fragmentation. Culvert presence had no effect, but MPs may increase as waterflows increase to planned volumes. Understanding MP dynamics enables managers to predict water quality impacts and leverage the potential ecosystem service of MP filtration by mangrove wetlands. Full article

15 pages, 1587 KiB

Open AccessArticle

Analysis of the Tools for Evaluating Embodied Energy Through Building Information Modeling Tools: A Case Study of a Single-Unit Shell Building

by Andrzej Szymon Borkowski, Urszula Hajdukiewicz, Julia Herbich, Kalina Kostana and Anna Kubala

Earth 2025, 6(2), 25; https://doi.org/10.3390/earth6020025 (registering DOI) - 6 Apr 2025

Abstract

Today, the construction sector is largely responsible for climate change and global warming. The industry generates the largest carbon footprint and is also one of the least digitized industries in national economies. Faced with the challenge of reducing this carbon footprint, BIM is [...] Read more.

Today, the construction sector is largely responsible for climate change and global warming. The industry generates the largest carbon footprint and is also one of the least digitized industries in national economies. Faced with the challenge of reducing this carbon footprint, BIM is becoming an essential tool for building digital twins, which in turn makes it possible to calculate and track the carbon footprint over time for designed, constructed, and existing buildings. Semantically rich databases such as BIM make it possible to record the past, present, and future states of buildings and infrastructure facilities. To date, primary research using the free and popular UrbanBIM tool has been conducted on ready-made models, e.g., a previously prepared piece of space. In this secondary study, a specific pre-designed shell building in the BIM environment was examined, and the embedded carbon footprint was calculated for it. The calculated result of 76.35 tons of CO₂ provides an overview of the solutions used and an analysis of the various elements in terms of their environmental impact. The results of the study indicate a growing need to automate the modeling of building information for analysis and simulation, and then to further manage the information. The paper also identifies limitations and presents future research directions for carbon footprint calculation and tracking. Full article

17 pages, 2176 KiB

Open AccessArticle

Handgrip Strength in Children and Adolescents Aged 3 to 16 Years and Residing in Spain: New Reference Values

by F. Zárate-Osuna, A. G. Zapico and M. González-Gross

Children 2025, 12(4), 471; https://doi.org/10.3390/children12040471 (registering DOI) - 6 Apr 2025

Abstract

Introduction: Handgrip strength, measured by dynamometry (HGD), is a key measure in assessing physical condition and nutritional status. Its correlation with anthropometric measures and body composition makes it an accessible method for the evaluation of cardiovascular health. This study aimed to develop a [...] Read more.

Introduction: Handgrip strength, measured by dynamometry (HGD), is a key measure in assessing physical condition and nutritional status. Its correlation with anthropometric measures and body composition makes it an accessible method for the evaluation of cardiovascular health. This study aimed to develop a new reference for right-hand dynamometry in the Spanish population and compare it with previous references. Material and Methods: A total of 3281 subjects aged 3 to 16 years (1608 females) from the PESCA, PASOS, and ASOMAD projects were included. Handgrip strength was measured using the same methodology in all cases. Data on age, weight, height, and BMI were collected, and the handgrip strength per kilogram of body weight was calculated. Sexual dimorphism in the temporal development of strength was analyzed, and multiple correlations were established between dynamometry and anthropometric variables. Results: Percentile curves and tables for dynamometry are presented for each sex, including data from as early as 3 years old, for the first time. Conclusions: Sexual dimorphism in strength development is confirmed, becoming more pronounced with puberty. In absolute terms, our study shows a decrease in handgrip strength among adolescents, occurring earlier and more markedly in females. When compared to the previous literature, the 16-year-old male adolescents in our study exhibited lower strength than those from 40 and 16 years ago. Full article

(This article belongs to the Special Issue Lifestyle and Children's Health Development)

18 pages, 1207 KiB

Open AccessArticle

Piezoelectric Energy Harvesting System to Charge Batteries with the Use of a Portable Musical Organ

by Josué Esaú Vega-Ávila, Guillermo Adolfo Anaya-Ruiz, José Joel Román-Godínez, Gabriela Guadalupe Esquivel-Barajas, Jorge Ortiz-Marín, Rogelio Gudiño-Valdez and Hilda Aguilar-Rodríguez

Energies 2025, 18(7), 1850; https://doi.org/10.3390/en18071850 (registering DOI) - 6 Apr 2025

Abstract

In recent years, the increase in energy demand has been an incentive to search for new ways to generate energy. An alternative is producing this energy from daily human activities. To do this, piezoelectric devices have been used in different human activities to [...] Read more.

In recent years, the increase in energy demand has been an incentive to search for new ways to generate energy. An alternative is producing this energy from daily human activities. To do this, piezoelectric devices have been used in different human activities to collect energy. Some of these potential activities are transportation, biomedicine, and electronic devices. Harvesting energy from the mechanical force applied by a pianist during their performance is one of these activities that can be used. The implementation of piezoelectric devices under the keys of an electric organ was carried out. A theoretical model was developed to estimate the amount of energy we could recover. The system was characterized by controlled forces. The volume generated by the forces was measured via a Musical Instrument Digital Interface (MIDI) using the open-source music production software “LMMS (Linux MultiMedia Studio) 1.2.2 version”. The electric potential difference was measured as a function of the volume generated by the pianist. The voltages generated for different frequencies of the pianist’s rhythm were studied. The efficiency calculated in the mathematical model agreed with that obtained in the implemented system. The study results indicate that the batteries were recharged, which resulted in 53 s of organ operation. Full article

(This article belongs to the Section D2: Electrochem: Batteries, Fuel Cells, Capacitors)

22 pages, 2380 KiB

Open AccessSystematic Review

A Systematic Review and Meta-Analysis of MIP-1α and MIP-1β Chemokines in Malaria in Relation to Disease Severity

by Saruda Kuraeiad, Kwuntida Uthaisar Kotepui, Aongart Mahittikorn, Nsoh Godwin Anabire, Frederick Ramirez Masangkay, Polrat Wilairatana, Kinley Wangdi and Manas Kotepui

Medicina 2025, 61(4), 676; https://doi.org/10.3390/medicina61040676 (registering DOI) - 6 Apr 2025

Abstract

Background and Objectives: Macrophage inflammatory protein-1α (MIP-1α) and MIP-1β act as signaling molecules that recruit immune cells to sites of infection and inflammation. This study aimed to synthesize evidence on blood levels of MIP-1α and MIP-1β in Plasmodium-infected individuals and to [...] Read more.

Background and Objectives: Macrophage inflammatory protein-1α (MIP-1α) and MIP-1β act as signaling molecules that recruit immune cells to sites of infection and inflammation. This study aimed to synthesize evidence on blood levels of MIP-1α and MIP-1β in Plasmodium-infected individuals and to determine whether these levels differ between severe and uncomplicated malaria cases. Materials and Methods: The study protocol was registered in PROSPERO (CRD42024595818). Comprehensive literature searches were conducted in six databases (EMBASE, MEDLINE, Ovid, Scopus, ProQuest, and PubMed) to identify studies reporting blood levels of MIP-1α and MIP-1β in Plasmodium infections and clinical malaria. A narrative synthesis was used to describe variations in MIP-1α and MIP-1β levels between malaria patients and controls and between severe and non-severe malaria cases. Meta-analysis was used to aggregate quantitative data utilizing a random-effects model. Results: A total of 1638 records were identified, with 20 studies meeting the inclusion criteria. Most studies reported significantly higher MIP-1α and MIP-1β levels in malaria patients compared to non-malarial controls. The meta-analysis showed a significant elevation in MIP-1α levels in malaria patients (n = 352) compared to uninfected individuals (n = 274) (p = 0.0112, random effects model, standardized mean difference [SMD]: 1.69, 95% confidence interval [CI]: 0.38 to 3.00, I²: 96.0%, five studies, 626 individuals). The meta-analysis showed no difference in MIP-1α levels between severe malaria cases (n = 203) and uncomplicated cases (n = 106) (p = 0.51, SMD: −0.48, 95% CI: −1.93 to 0.96, I²: 97.3%, three studies, 309 individuals). Conclusions: This study suggests that while MIP-1α and MIP-1β levels are elevated in malaria patients compared to uninfected individuals, these chemokines show a limited ability to differentiate between severe and uncomplicated malaria or predict severe outcomes. Further research is needed to clarify their role in malaria pathogenesis and explore potential clinical applications. Full article

(This article belongs to the Special Issue Infectious and Tropical Diseases: Symptoms, Diagnosis and Treatment)

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21 pages, 23238 KiB

Open AccessArticle

Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds

by Abderrazzaq Kharroubi, Fabio Remondino, Zouhair Ballouch, Rafika Hajji and Roland Billen

Remote Sens. 2025, 17(7), 1311; https://doi.org/10.3390/rs17071311 (registering DOI) - 6 Apr 2025

Abstract

Accurate three-dimensional change detection is essential for monitoring dynamic environments such as urban areas, infrastructure, and natural landscapes. Point-based methods are sensitive to noise and lack spatial coherence, while object-based approaches rely on clustering, which can miss fine-scale changes. To address these limitations, [...] Read more.

Accurate three-dimensional change detection is essential for monitoring dynamic environments such as urban areas, infrastructure, and natural landscapes. Point-based methods are sensitive to noise and lack spatial coherence, while object-based approaches rely on clustering, which can miss fine-scale changes. To address these limitations, we introduce an object-based change detection framework integrating semantic segmentation and geometric change indicators. The proposed method first classifies bi-temporal point clouds into ground, vegetation, buildings, and moving objects. A cut-pursuit clustering algorithm then segments the data into spatially coherent objects, which are matched across epochs using a nearest-neighbor search based on centroid distance. Changes are characterized by a combination of geometric features—including verticality, sphericity, omnivariance, and surface variation—and semantic information. These features are processed by a random forest classifier to assign change labels. The model is evaluated on the Urb3DCD-v2 dataset, with feature importance analysis to identify important features. Results show an 81.83% mean intersection over union. An additional ablation study without clustering reached 83.43% but was more noise-sensitive, leading to fragmented detections. The proposed method improves the efficiency, interpretability, and spatial coherence of change classification, making it well suited for large-scale monitoring applications. Full article

(This article belongs to the Special Issue Geospatial Intelligence in Remote Sensing)

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28 pages, 9139 KiB

Open AccessArticle

A Truncated Endogenous U6 Promoter Enables High-Efficiency CRISPR Editing in Flax (Linum usitatissimum L.)

by Feifei Li, Min Xue, Dongliang Guo, Leilei Zhu, Yuandong Li and Liqiong Xie

Plants 2025, 14(7), 1142; https://doi.org/10.3390/plants14071142 (registering DOI) - 6 Apr 2025

Abstract

Functional U6 promoters are widely utilized in CRISPR gene editing systems for crops. The identification of endogenous U6 promoter activity and the establishment of CRISPR/Cas9 gene editing systems in various crops can enhance the efficiency and accuracy of gene editing in molecular breeding. [...] Read more.

Functional U6 promoters are widely utilized in CRISPR gene editing systems for crops. The identification of endogenous U6 promoter activity and the establishment of CRISPR/Cas9 gene editing systems in various crops can enhance the efficiency and accuracy of gene editing in molecular breeding. In this study, four U6 snRNAs were identified in the genome of the oil flax (Linum usitatissimum L.) cultivar Longya 10, which exhibit high homology with the promoter regions of Arabidopsis thaliana U6 snRNA. We cloned and constructed fusion expression vectors with U6 promoter-driven dual-luciferase reporter genes. Transient transformation of flax and Nicotiana benthamiana was performed to measure the relative activity of dual luciferase. The U6-4 on chromosome 14 showed the highest transcriptional activity. Truncations of varying lengths from the 5′ end of this promoter were tested, revealing that a 342 bp U6 promoter fragment possesses high transcriptional activity and an optimal length. Subsequently, we constructed a CRISPR/Cas9 gene editing vector with LuU6-5P/AtU6-P driving LusPDS sgRNA. Agrobacterium-mediated infection of flax hypocotyls yielded transgenic albino flax shoots. DNA from these shoots was used as a template to amplify LusPDS fragments, which were then sequenced. Sequencing analysis revealed that CRISPR/Cas9 vectors using Lu14U6-4-5P achieved higher editing frequencies at LusPDS compared to AtU6-P-driven systems. Full article

(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)

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14 pages, 2600 KiB

Open AccessArticle

Jeremiah 44 and the Complexities of Ancient Migrations

by Terje Stordalen

Religions 2025, 16(4), 469; https://doi.org/10.3390/rel16040469 (registering DOI) - 6 Apr 2025

Abstract

The transnational turn in migrant studies emphasizes complexities in migration, partly related to the agency that migrants may exercise. Chapter 44 in the biblical Book of Jeremiah holds a story of migration that is peculiarly insensitive to such aspects: religious practices performed by [...] Read more.

The transnational turn in migrant studies emphasizes complexities in migration, partly related to the agency that migrants may exercise. Chapter 44 in the biblical Book of Jeremiah holds a story of migration that is peculiarly insensitive to such aspects: religious practices performed by a local community are condemned, and so are they. Through a series of analytical steps—reflection on historical conditions of migration at the time, on the historical value of the biblical sources, on a cognitive theory of mimesis in narrative, and on praxeological analysis—this study tries to regain a view of migratory complexity and migrants’ agency in that story. The reading uncovers how migrants were “doing community” through their religious practices and through their dispute with the prophet. The story reflects an enduring pattern of struggle between local communities and trans-local forces. It also reflects change in traditional communal patterns due to social changes brought about by migration. Full article

(This article belongs to the Special Issue Transgressing Boundaries: Biblical and Social Scientific Studies of Migration)

11 pages, 6712 KiB

Open AccessCase Report

Surgical Management of Pediatric Coronoid Process Fractures: A Report of Two Cases

by Anna Gabriella Lamberti, Aba Lőrincz, Tibor Molnár, Tamás Kassai, Hermann Nudelman and Gergő Józsa

Life 2025, 15(4), 614; https://doi.org/10.3390/life15040614 (registering DOI) - 6 Apr 2025

Abstract

Coronoid process fractures in the pediatric population are rare and often misdiagnosed, leading to chronic elbow instability. We aim to evaluate the surgical management of two adolescent cases of inveterate coronoid fractures using autologous bone grafting. Both patients, with a history of recurrent [...] Read more.

Coronoid process fractures in the pediatric population are rare and often misdiagnosed, leading to chronic elbow instability. We aim to evaluate the surgical management of two adolescent cases of inveterate coronoid fractures using autologous bone grafting. Both patients, with a history of recurrent elbow dislocations, presented with pseudoarthrosis and were initially misdiagnosed due to minor or subtle fractures. Comprehensive imaging, including computed tomography (CT) and magnetic resonance imaging (MRI), confirmed the presence of significant coronoid defects. The surgical intervention involved employing autografts from the iliac wing to reconstruct the coronoid process, followed by fixation with screws. Both patients underwent postoperative rehabilitation via physiotherapy, resulting in full functional recovery. At their one-year follow-ups, both patients regained full elbow function, achieving range-of-motion measurements of 0–0–130° flexion–extension and 90–0–90° pronation–supination; no recurrence of instability was reported, with no complications at the yearly follow-ups. This approach demonstrates the efficacy of autograft reconstruction in restoring elbow stability, particularly in cases with substantial bone loss or pseudoarthrosis. Our study highlights the importance of advanced imaging and individualized treatment strategies, emphasizing that early surgical intervention can prevent long-term disability in pediatric patients with chronic coronoid fractures. Full article

(This article belongs to the Special Issue Advanced Strategies in Fracture Treatments)

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25 pages, 12061 KiB

Open AccessArticle

FasterGDSF-DETR: A Faster End-to-End Real-Time Fire Detection Model via the Gather-and-Distribute Mechanism

by Chengming Liu, Fan Wu and Lei Shi

Electronics 2025, 14(7), 1472; https://doi.org/10.3390/electronics14071472 (registering DOI) - 6 Apr 2025

Abstract

Fire detection using deep learning has become a widely adopted approach. However, YOLO-based models often face performance limitations due to NMS, while DETR-based models struggle to meet real-time processing requirements. To address these challenges, we propose FasterGDSF-DETR, a novel fire detection model built [...] Read more.

Fire detection using deep learning has become a widely adopted approach. However, YOLO-based models often face performance limitations due to NMS, while DETR-based models struggle to meet real-time processing requirements. To address these challenges, we propose FasterGDSF-DETR, a novel fire detection model built upon the RT-DETR framework, designed to enhance both detection accuracy and efficiency. Firstly, this model introduces the FasterDBBNet backbone, which efficiently captures and retains feature information, accelerating the model’s convergence speed. Secondly, we propose the AIFI-GDSF hybrid encoder to reduce information loss in intra-scale interactions and improve the capability of detecting varying morphological flames. Furthermore, to better adapt to complex fire scenarios, we expand the dataset based on the KMU Fire and Smoke database and incorporate WIoU as the loss function to improve model robustness. Experimental results demonstrate that our proposed model surpasses mainstream object detection models in both accuracy and computational efficiency. FasterGDSF-DETR achieves a mean Average Precision of 71.5% on the self-constructed dataset, outperforming the YOLOv9 model of the same scale by 2.4 percentage points. This study introduces a novel task-specific enhancement to the RT-DETR framework, offering valuable insights for future advancements in fire detection technology. Full article

(This article belongs to the Special Issue Deep Learning-Based Object Detection/Classification)

15 pages, 3693 KiB

Open AccessArticle

Deep Learning-Based FSS Spectral Characterization and Cross-Band Migration

by Lei Gong, Xuan Liu, Pan Zhou, Liguo Wang and Zhiqiang Yang

Appl. Sci. 2025, 15(7), 4035; https://doi.org/10.3390/app15074035 (registering DOI) - 6 Apr 2025

Abstract

Conventional design methodologies for Frequency Selective Surfaces (FSSs) are often plagued by challenges such as difficulties in determining unit cell structures, a plethora of optimization parameters, and substantial computational demands. In response, researchers have developed deep learning-based approaches for FSS design, highlighting their [...] Read more.

Conventional design methodologies for Frequency Selective Surfaces (FSSs) are often plagued by challenges such as difficulties in determining unit cell structures, a plethora of optimization parameters, and substantial computational demands. In response, researchers have developed deep learning-based approaches for FSS design, highlighting their advantages in terms of high efficiency and low resource consumption. However, these methods are typically confined to designing FSSs within the spectral ranges defined by their datasets, significantly limiting their applicability. This paper systematically analyzes the impact of material and geometric parameters of FSSs on their spectral characteristics, thereby establishing a theoretical foundation for the cross-band transfer learning capability of neural networks. Building on this foundation, we utilized COMSOL (Version 6.0) and MATLAB (Version R2021b) co-simulations to recollect 6000 sets of FSS data in the millimeter-wave band. Using only 23.1% of the data volume, we achieved training results comparable to those obtained with the full dataset in a significantly shorter time frame, with a mean absolute error of 0.07 on the test set. This demonstrates the feasibility of transfer learning and successfully implements cross-band transfer learning of convolutional neural networks from the terahertz band to the millimeter-wave band. The findings of this study provide valuable insights for the integration of deep learning with FSSs, enhancing data utilization efficiency, and further advancing the development of efficient, concise, and universal FSS design methodologies. This advancement extends the scope from solving specific problems to addressing a broader class of issues. Full article

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29 pages, 6254 KiB

Open AccessArticle

Optimized Deep Reinforcement Learning for Dual-Task Control in Deep-Sea Mining: Path Following and Obstacle Avoidance

by Yulong Xue, Jianmin Yang, Qihang Chen, Jinghang Mao, Wenhao Xu and Changyu Lu

J. Mar. Sci. Eng. 2025, 13(4), 735; https://doi.org/10.3390/jmse13040735 (registering DOI) - 6 Apr 2025

Abstract

This study investigates the dual-task control challenge of path following and obstacle avoidance for deep-sea mining robots operating in complex, unstructured environments. To address the limitations of traditional training strategies, we propose an optimized training framework that integrates environmental design enhancements and algorithmic [...] Read more.

This study investigates the dual-task control challenge of path following and obstacle avoidance for deep-sea mining robots operating in complex, unstructured environments. To address the limitations of traditional training strategies, we propose an optimized training framework that integrates environmental design enhancements and algorithmic advancements. Specifically, we develop a Dual-Task Training Environment by combining the Random Obstacle Environment with a newly proposed Obstructed Path Environment, ensuring a balanced learning approach. While agents trained solely in the Random Obstacle Environment exhibit unilateral obstacle avoidance strategies and achieve a 0% success rate in randomized obstacle scenarios, those trained in the Dual-Task Environment demonstrate 85.4% success under identical test conditions and acquire more complex bilateral avoidance strategies. Additionally, we introduce a Dynamic Multi-Step Update mechanism, which integrates immediate rewards with long-term returns to enhance deep reinforcement learning (Twin Delayed Deep Deterministic Policy Gradient, TD3) performance without increasing computational complexity. Under the optimal multi-step setting (n = 5), the Dynamic Multi-Step Update mechanism significantly improves path following accuracy, reducing trajectory deviations to 0.128 m on straight paths and 0.195 m on S-shaped paths, while achieving nearly 100% success in multi-directional obstacle avoidance tests. These improvements collectively enhance the adaptability, robustness, and operational performance of deep-sea mining robots, advancing intelligent control strategies for autonomous deep-sea exploration and resource extraction. Full article

(This article belongs to the Section Ocean Engineering)

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9 pages, 362 KiB

Open AccessArticle

Syncope in Pulmonary Thromboembolism: A Cross-Sectional Analysis of Risk Factors and the Prognostic Value of Syncope

by Songul Ozyurt, Neslihan Ozcelik, Elvan Senturk Topaloglu, Abdurrahman Kotan, Aziz Gumus and Unal Sahin

J. Clin. Med. 2025, 14(7), 2501; https://doi.org/10.3390/jcm14072501 (registering DOI) - 6 Apr 2025

Abstract

Background/Objectives: This study investigated the frequency of syncope, factors associated with syncope, and the relationship between syncope and mortality in patients with pulmonary thromboembolism (PTE). Methods: This study was planned as single-center retrospective and cross-sectional research. The PTE diagnosis was confirmed [...] Read more.

Background/Objectives: This study investigated the frequency of syncope, factors associated with syncope, and the relationship between syncope and mortality in patients with pulmonary thromboembolism (PTE). Methods: This study was planned as single-center retrospective and cross-sectional research. The PTE diagnosis was confirmed by partial or complete filling defects in at least one branch of the pulmonary circulation seen on pulmonary spiral computed tomography angiography. Patients’ demographic data, symptoms, location of pulmonary embolism, Simplified Pulmonary Embolism Severity Index (sPESI) risk group, European Society of Cardiology (ESC) risk group, in-hospital mortality rate, and 30-day mortality rate were recorded. The presence of syncope and associated factors as well as the relationship between syncope and mortality were investigated. Results: This study included 589 consecutive patients diagnosed with PTE. The mean age was 70 ± 15 years, and 58.7% of the patients were women. Syncope was detected in 12.4% of the patients. Female sex, pulse rate, thrombosis in the main pulmonary artery, and right ventricular dysfunction on an echocardiogram were more prevalent in the syncope group. In-hospital mortality was 2.1 times higher in the syncope group. Elevated troponin levels increased the occurrence of syncope by 4.9-fold, whereas the presence of thrombosis in the main pulmonary artery and signs of right ventricular failure increased syncope occurrence by 4.3- and 3.1-fold, respectively. Conclusions: In the presence of syncope, patients with pulmonary thromboembolism, embolism in the main pulmonary arteries, high troponin values, right heart failure, and a high sPESI risk group should be carefully assessed and closely monitored for mortality, and reperfusion therapy should be considered as necessary. Full article

(This article belongs to the Section Pulmonology)

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16 pages, 4767 KiB

Open AccessArticle

Non-Enzymatic Electrochemical Sensing of Glucose with Silver Nanoparticles Supported on Poly(3-aminobenzoic acid)

by América Susana Mares-García, Claudia Alejandra Hernández-Escobar, Sonia Kimberly Enriquez-Durán, Anayansi Estrada-Monje, Erasto Armando Zaragoza-Contreras and Claudia Ivone Piñón-Balderrama

Chemosensors 2025, 13(4), 133; https://doi.org/10.3390/chemosensors13040133 (registering DOI) - 6 Apr 2025

Abstract

This study explores the development of a non-enzymatic electrochemical glucose sensor based on poly(3-aminobenzoic acid) (P3ABA) combined with silver nanoparticles (AgNPs). Incorporating AgNPs into the P3ABA matrix enhances the sensor’s electrocatalytic properties, leading to a system with greater stability. Cyclic voltammetry and chronoamperometry [...] Read more.

This study explores the development of a non-enzymatic electrochemical glucose sensor based on poly(3-aminobenzoic acid) (P3ABA) combined with silver nanoparticles (AgNPs). Incorporating AgNPs into the P3ABA matrix enhances the sensor’s electrocatalytic properties, leading to a system with greater stability. Cyclic voltammetry and chronoamperometry were employed to evaluate the sensor’s performance, demonstrating a sensitivity of 50.71 µA mM⁻¹ cm⁻² and a limit of detection (LOD) of 0.2 µM. The sensor exhibited a linear response over a broad concentration range (1 to 16 mM), with a coefficient of determination (R²) of 0.998, indicating good reproducibility and precision. These results highlight the potential of the P3ABA/AgNP composite for glucose sensing applications, offering an extended linear range, allowing for the quantification of glucose concentrations from very low to significantly high levels, covering both physiological and pathological conditions. Full article

(This article belongs to the Special Issue Advances in Electrochemical Sensing and Analysis)

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23 pages, 7658 KiB

Open AccessArticle

An Accurate Altimetry Method for High-Altitude Airburst Fuze Based on Two-Dimensional Joint Extension Characteristics

by Liwen Pan, Yao Zhang, Qianyu Wang, Shuhuan He and Xi Pan

Sensors 2025, 25(7), 2329; https://doi.org/10.3390/s25072329 (registering DOI) - 6 Apr 2025

Abstract

Considering the challenge of precise altimetry for high-altitude airburst fuzes, this paper proposes a two-dimensional joint extension characteristic altimetry method based on an improved constant false alarm rate (CFAR) detection and an accurate feature region extraction approach. First, an improved CFAR detection method [...] Read more.

Considering the challenge of precise altimetry for high-altitude airburst fuzes, this paper proposes a two-dimensional joint extension characteristic altimetry method based on an improved constant false alarm rate (CFAR) detection and an accurate feature region extraction approach. First, an improved CFAR detection method with secondary protection windows is introduced to effectively mitigate the masking effect caused by conventional CFAR algorithms. The fuze-to-ground distance-based height measurement is achieved by leveraging the geometric relationship between the maximum and minimum slant distances and the impact angle. Then, to enhance altimetry accuracy under low signal-to-noise ratio (SNR) conditions, a 2D joint accurate altimetry approach is implemented by integrating Doppler-dimension extension characteristics with the conventional range-based method. The estimated impact angle is further refined using the proposed feature region extraction method. The final results demonstrate that for high-altitude airburst fuzes operating at burst altitudes between 70 m and 100 m, the proposed 2D joint altimetry algorithm provides more accurate and robust distance measurements. Under an SNR of −10 dB, the root mean square error (RMSE) is less than 2.38 m, with an error rate of approximately 3%. Notably, even at an SNR of −15 dB, the RMSE remains below 4.76 m, with an error rate not exceeding 5%, highlighting the robustness of the proposed method under low-SNR conditions. Full article

(This article belongs to the Section Communications)

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