Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

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

Article Types

Countries / Regions

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

Search Results (15,885)

Search Parameters:
Keywords = position estimation

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
31 pages, 2324 KB  
Article
Vegetables and Glycemic Index: Exploring Their Correlation and Health Implications
by Manish Kumar Singh, Hyeong Rok Yun, Jyotsna S. Ranbhise, Sunhee Han, Sung Soo Kim and Insug Kang
Foods 2025, 14(21), 3703; https://doi.org/10.3390/foods14213703 (registering DOI) - 29 Oct 2025
Abstract
Background: Vegetables are consumed worldwide in various forms, including raw, as green leaves in salads, and as ingredients in a wide range of dishes, such as curries, sauces, and burgers. They are rich in carbohydrates and dietary fiber (DF), and also provide moderate [...] Read more.
Background: Vegetables are consumed worldwide in various forms, including raw, as green leaves in salads, and as ingredients in a wide range of dishes, such as curries, sauces, and burgers. They are rich in carbohydrates and dietary fiber (DF), and also provide moderate amounts of protein, fat, oils, essential micronutrients, minerals, vitamins, and phytochemicals. Among their carbohydrate components, simple sugars such as monosaccharides/hexoses significantly influence postprandial blood glucose responses. The glycemic index (GI) is critical for managing chronic conditions, such as diabetes, obesity, hyperglycemia, and other metabolic diseases. The influence of individual carbohydrate fractions, such as hexoses, on GI and glycemic load (GL) has not been extensively investigated. Methods: This retrospective study analyzed the carbohydrates in vegetables (n = 65), focusing on hexoses and fibers, their carbohydrate-to-fiber ratio, and their effect on the GI and GL. Carbohydrate data were obtained from publicly accessible databases, including the U.S. Department of Agriculture (USDA), FooDB, European and Australian food databases, and PubMed. The study assessed total carbohydrates (TC), hexoses, dietary starch (DS), total sugars (TS), and DF, and examined their correlations with GI using regression analysis. Results: Our analysis revealed that fiber ratios are a more reliable predictor of GI than conventional net carbohydrate measures. Among the carbohydrates analyzed, TC exhibited the highest positive correlation with GI, both in absolute terms and when normalized to fiber, while TS showed a weak correlation. Among the ratios studied, TC demonstrated a stronger correlation with the GI, followed by DS. Conclusions: Comparative evaluation revealed that DF exerts a buffering effect on glycemic response (GR) and supports the use of fiber ratios as a more stable and intrinsic parameter for predicting GI than standard estimation methods. Traditional approaches that rely on net carbohydrates may overlook important factors affecting glycemic impact, particularly the buffering effects of dietary fiber. This study advocates for the incorporation of carbohydrate-to-fiber ratios into GI estimation models. Our research may help evaluate the carbohydrate content in vegetables for further in vitro and in vivo studies aimed at clarifying the mechanisms and validating these metrics in glycemic regulation. Full article
Show Figures

Graphical abstract

30 pages, 3760 KB  
Article
Dynamic Modeling and Active Stabilization of a Strake-Fin Hose–Drogue Aerial Refueling System
by Chenao Han, Xueqiang Liu and Guiyun Zou
Aerospace 2025, 12(11), 966; https://doi.org/10.3390/aerospace12110966 (registering DOI) - 29 Oct 2025
Abstract
Aerial refueling with hose–drogue systems provides operational flexibility but is highly susceptible to disturbances from tanker wakes, receiver bow waves, and atmospheric turbulence, which induce drogue oscillations and reduce docking success. To address these challenges, this study develops a dynamic model and introduces [...] Read more.
Aerial refueling with hose–drogue systems provides operational flexibility but is highly susceptible to disturbances from tanker wakes, receiver bow waves, and atmospheric turbulence, which induce drogue oscillations and reduce docking success. To address these challenges, this study develops a dynamic model and introduces a strake-fin-based actively stabilized drogue. The hose is represented as a chain of rigid segments with aerodynamic drag estimated using Hoerner’s empirical correlations, while the drogue’s aerodynamic characteristics are obtained from CFD simulations. An efficient neighbor-cell search algorithm is implemented to map the hose–drogue configuration onto the CFD flow field, and atmospheric turbulence is modeled using the Dryden model. The drogue is equipped with two pairs of strake-type control fins, whose relative deflections are regulated by a linear quadratic regulator (LQR) to generate corrective aerodynamic forces. Simulation results under tanker wake, bow-wave, and severe turbulence conditions show that the proposed system effectively suppresses drogue oscillations, reducing displacement amplitudes by over 80% and maintaining positional deviations within 0.1 m. These results confirm the robustness of the modeling framework and demonstrate the potential of the strake-fin-based active stabilization strategy to ensure safe and reliable aerial refueling operations. Full article
(This article belongs to the Section Aeronautics)
24 pages, 4269 KB  
Article
Analysis of Dynamic Risk Transmission in Cascade Reservoirs Driven by Multi-Objective Optimal Operation
by Jiajia Liu, Hongxue Zhang, Lianpeng Zhang, Jie Wei, Dandan Wu, Cheng Wang, Shuaikang Yang and Junyin Hu
Sustainability 2025, 17(21), 9623; https://doi.org/10.3390/su17219623 (registering DOI) - 29 Oct 2025
Abstract
The numerous uncertainties in the process of water resource development and utilization bring multiple risks to water resource management. To enhance socio-economic benefits while considering ecological benefits, it is urgent to deeply explore risks. In this paper, Nuozhadu, Jinghong, and Ganlanba hydropower stations [...] Read more.
The numerous uncertainties in the process of water resource development and utilization bring multiple risks to water resource management. To enhance socio-economic benefits while considering ecological benefits, it is urgent to deeply explore risks. In this paper, Nuozhadu, Jinghong, and Ganlanba hydropower stations on the lower reaches of the Lancang River are taken as the objects. To balance the socio-economic and ecological benefits, a multi-objective optimization operation model was constructed. To describe the risk transmission, a VAR model was constructed, and the dynamic transmission among risks was explored. The results show that the ratio of ecological change is 10.38%, and the cascade power generation is 33,243 GWh (2% higher than the designed). The impacts of the perturbation for each risk on itself and others are quantitatively analyzed by the impulse response function. It is concluded that the transmission direction is generally positive, but the increase in ecological risk has negative impacts on risks of output and abandoned water, and risks of power generation and output also negatively affect abandoned water risk. Finally, the risk transmission is quantitatively estimated by the variance decomposition method. It is concluded that the power generation risk contributes most to the output and ecology risks, the ecological risk only contributes significantly to the abandoned water risk (the contribution rate is 6.30%), and the abandoned water risk contributes a lot to the others. Full article
Show Figures

Figure 1

18 pages, 1681 KB  
Article
Modeling Dynamic Regime Shifts in Diffusion Processes: Approximate Maximum Likelihood Estimation for Two-Threshold Ornstein–Uhlenbeck Models
by Svajone Bekesiene, Anatolii Nikitin and Serhii Nechyporuk
Mathematics 2025, 13(21), 3450; https://doi.org/10.3390/math13213450 (registering DOI) - 29 Oct 2025
Abstract
This study addresses the problem of estimating parameters in a two-threshold Ornstein–Uhlenbeck diffusion process, a model suitable for describing systems that exhibit changes in dynamics when crossing specific boundaries. Such behavior is often observed in real economic and physical processes. The main objective [...] Read more.
This study addresses the problem of estimating parameters in a two-threshold Ornstein–Uhlenbeck diffusion process, a model suitable for describing systems that exhibit changes in dynamics when crossing specific boundaries. Such behavior is often observed in real economic and physical processes. The main objective is to develop and evaluate a method for accurately identifying key parameters, including the threshold levels, drift changes, and diffusion coefficient, within this stochastic framework. The paper proposes an iterative algorithm based on approximate maximum likelihood estimation, which recalculates parameter values step by step until convergence is achieved. This procedure simultaneously estimates both the threshold positions and the associated process parameters, allowing it to adapt effectively to structural changes in the data. Unlike previously studied single-threshold systems, two-threshold models are more natural and offer improved applicability. The method is implemented through custom programming and tested using synthetically generated data to assess its precision and reliability. The novelty of this study lies in extending the approximate maximum likelihood framework to a two-threshold Ornstein–Uhlenbeck process and in developing an iterative estimation procedure capable of jointly recovering both threshold locations and regime-specific parameters with proven convergence properties. Results show that the algorithm successfully captures changes in the process dynamics and provides consistent parameter estimates across different scenarios. The proposed approach offers a practical tool for analyzing systems influenced by shifting regimes and contributes to a better understanding of dynamic processes in various applied fields. Full article
(This article belongs to the Special Issue Stochastic Differential Equations and Applications)
Show Figures

Figure 1

20 pages, 5924 KB  
Article
Lightweight Calculation Method for Heating Loads in Existing Residential Clusters via Spatial Thermal Pattern Decoupling and Matrix Reorganization
by Haofei Cai, Xinqi Yu, Zhongyan Liu, Xin Meng, Junjie Liu, Ziyang Cheng, Shuming Wang, Wei Jiang and Guopeng Yao
Processes 2025, 13(11), 3475; https://doi.org/10.3390/pr13113475 (registering DOI) - 29 Oct 2025
Abstract
Centralized heating systems in severe cold regions suffer from widespread load estimation deviations due to architectural heterogeneity and a lack of construction drawings, leading to substantial energy waste. This study proposes a lightweight load calculation method that facilitates efficient calculation of heating loads [...] Read more.
Centralized heating systems in severe cold regions suffer from widespread load estimation deviations due to architectural heterogeneity and a lack of construction drawings, leading to substantial energy waste. This study proposes a lightweight load calculation method that facilitates efficient calculation of heating loads for heterogeneous building clusters via spatial thermal pattern decoupling and matrix reorganization. First, a 3 × 3 load characteristic matrix is developed to characterize the spatial variation in thermal demand across different building positions (corner vs. intermediate units × top, middle, and bottom floors), revealing that corner units exhibit higher thermal loads than intermediate units, while top and bottom floors show significantly higher loads than middle floors. Second, two complementary matrices are established: the load characteristic matrix, which represents the building’s thermal behavior, and the structural feature matrix, which encodes the architectural configuration in terms of unit count (a) and floor count (b). Together, they enable rapid hourly load synthesis using only lightweight input parameters. The method is validated on 56 heterogeneous residential buildings in Northeast China. Using a decoupled 4U/6F standard model, the synthesized cluster heating load achieves an R2 of 0.88, an RMSE of 24.15 GJ, a MAPE of 4.94%, and a Mean Percentage Error (MPE) of −0.82% against actual heating supply data, demonstrating high accuracy and negligible systematic bias—particularly during cold waves. This approach allows the seasonal variation in heat demand across an entire residential area to be estimated even in the absence of detailed construction drawings, offering practical guidance for operational heating management. Full article
(This article belongs to the Special Issue Model Predictive Control of Heating and Cooling Systems)
Show Figures

Figure 1

13 pages, 842 KB  
Study Protocol
Universal Screening for Familial Hypercholesterolemia in Preschool Children and Their Families in Slovenia (FH-FAMILIES)—A Protocol for a Study of Four-Stage Screening Program
by Mia Becker, Bernarda Vogrin, Jan Kafol, Barbara Čugalj Kern, FH-FAMILIES Collaborators and Urh Grošelj
J. Pers. Med. 2025, 15(11), 510; https://doi.org/10.3390/jpm15110510 (registering DOI) - 29 Oct 2025
Abstract
Familial hypercholesterolemia (FH) is the most common metabolic disease, with prevalence estimated between 1:250 and 1:300. The affected individuals have a significantly higher risk for developing atherosclerosis and cardiovascular disease (CVD) compared to non-affected individuals. Early CVD can be prevented with early detection [...] Read more.
Familial hypercholesterolemia (FH) is the most common metabolic disease, with prevalence estimated between 1:250 and 1:300. The affected individuals have a significantly higher risk for developing atherosclerosis and cardiovascular disease (CVD) compared to non-affected individuals. Early CVD can be prevented with early detection and treatment of FH. In Slovenia we have been conducting a national three-staged program of universal screening for FH of preschoolers. Goals: Our goal is to collect data for 5000 children, which is approximately one-quarter of one generation of preschoolers for the year 2023 (n = 5000). Methods: Our study includes both prospective and retrospective components and is a non-interventional cohort study. The prospective component began in 2023, when a questionnaire was distributed to multiple community health centers and outpatient practices in Slovenia. Pediatricians or school medicine specialists completed these questionnaires. The retrospective component involves our research team collecting the remaining necessary data from existing medical records. We are going to follow our algorithm for the implementation of the universal cholesterol screening program and seek all children that will be referred to the Pediatric Lipid Clinic at the University Children’s Hospital, University Medical Centre (UCH-UMC), Ljubljana, for further genetic testing. If a child has a positive genetic result, their parents and siblings will undergo genetic testing. Conclusions: Despite being a common genetic disorder, familial hypercholesterolemia (FH) is still largely underdiagnosed globally; fewer than 10% of affected individuals are thought to be identified. Early detection through effective screening is therefore essential to improve outcomes and prevent premature cardiovascular events. Full article
(This article belongs to the Section Personalized Preventive Medicine)
Show Figures

Figure 1

12 pages, 1003 KB  
Article
Bidirectional Mendelian Randomization Analysis of the Causal Relationship Between Uterine Fibroids and Breast Cancer in East Asian Women
by Young Lee and Je Hyun Seo
Biomedicines 2025, 13(11), 2654; https://doi.org/10.3390/biomedicines13112654 (registering DOI) - 29 Oct 2025
Abstract
Background/Objectives: This study was designed to investigate the potential causal relationship between uterine fibroids (UF) and breast cancer (BC) using genetic data in East Asian populations. Methods: We conducted a bidirectional two-sample Mendelian randomization (MR) analysis of UF and BC, selecting [...] Read more.
Background/Objectives: This study was designed to investigate the potential causal relationship between uterine fibroids (UF) and breast cancer (BC) using genetic data in East Asian populations. Methods: We conducted a bidirectional two-sample Mendelian randomization (MR) analysis of UF and BC, selecting exposure-associated single-nucleotide polymorphisms (SNPs) from Biobank Japan and extracting outcome associations from the China Kadoorie Biobank for both directions. The primary estimator was inverse-variance-weighted (IVW), with robustness assessed using the weighted median, MR-Egger regression, and the MR-pleiotropy residual sum and outlier (MR-PRESSO). Results: The SNPs with (p < 5.0 × 10−8) were selected as instrumental variables for UF (n = 16) and BC (n = 7). There was no evidence of heterogeneity in either direction. Genetically predicted UF was positively associated with BC risk (odds ratio, 1.33; 95% confidence interval, 0.99–1.79; p = 0.063), although the association did not reach statistical significance in IVW. In addition, the causal effect of BC on UF was significant (odds ratio, 1.19; 95% confidence interval, 1.08–1.32; p < 0.001 in IVW). Conclusions: Our study suggested a borderline significant causal effect of UF on BC. Moreover, BC demonstrated a significant causal association with UF, underscoring the need for further research into the role of various mechanisms including estrogen in the relationship between the two diseases. Full article
(This article belongs to the Section Cancer Biology and Oncology)
Show Figures

Figure 1

13 pages, 2318 KB  
Article
Mapping of a Major Locus for Resistance to Yellow Rust in Wheat
by Huijuan Guo, Liujie Wang, Xin Bai, Lijuan Wu, Xiaojun Zhang, Shuwei Zhang, Zujun Yang, Ennian Yang, Zhijian Chang, Xin Li and Linyi Qiao
Agronomy 2025, 15(11), 2511; https://doi.org/10.3390/agronomy15112511 - 29 Oct 2025
Abstract
Yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), is a global disease infecting wheat that seriously affects the yield and the quality of grains. Wheat breeding line C855 is immune to the mixed Pst isolates CYR32 + CYR33 [...] Read more.
Yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), is a global disease infecting wheat that seriously affects the yield and the quality of grains. Wheat breeding line C855 is immune to the mixed Pst isolates CYR32 + CYR33 + CYR34 under field conditions. To identify the Yr-loci carried by C855, in this study, an F2 population derived from the crossing of C855 with Yannong 999, a YR-sensitive cultivar, was established, and the infection type (IT) of each F2 individual was estimated. The correlation analysis results show that YR resistance was significantly positively correlated with grain weight and grain size. Using a 120K single-nucleotide polymorphism (SNP) array, the F2 population was genotyped, and a high-density genetic map covering 21 wheat chromosomes and consisting of 5362 SNP markers was built. Then, five Yr-QTLs on chromosomes 1B, 2A, 2B, and 2D were identified. Of these, the QTL on chromosome 2A, temporarily named QYr.sxau-2A.1, is a major-effect QTL explaining 15.62% of the phenotypic variance. One PCR-based marker SSR2A-14 for QYr.sxau-2A.1 was developed, and the C855 allele of SSR2A-14 corresponded to the stronger Yr resistance. QYr.sxau-2A.1, located in the 228.02~241.58 Mbp physical interval, is different from all the known Yr loci on chromosomes 2A. Within the interval, there are 30 annotated genes, including a nucleotide-binding site and a leucine-rich repeat (NBS-LRR)-encoding gene with the linkage marker NRM2A-16 of QYr.sxau-2A.1. Our results reveal a novel major-effect QYr.sxau-2A.1, which provided resistance to YR and is a molecular marker for wheat breeding. Full article
(This article belongs to the Section Pest and Disease Management)
Show Figures

Figure 1

36 pages, 3601 KB  
Review
A Review of Inertial Positioning Error Suppression and Accuracy Improvement Methods for Underground Pipelines
by Zhongwei Hou, Han Liang, Shixun Wu, Xuefu Zhang and Wei Hu
Buildings 2025, 15(21), 3904; https://doi.org/10.3390/buildings15213904 - 28 Oct 2025
Abstract
With the continuous advancement of urban construction, inertial sensors are increasingly used in the detection of underground pipelines. However, inertial measurement units (IMUs) are susceptible to a variety of error sources, leading to the accumulation of position estimation errors over time, which severely [...] Read more.
With the continuous advancement of urban construction, inertial sensors are increasingly used in the detection of underground pipelines. However, inertial measurement units (IMUs) are susceptible to a variety of error sources, leading to the accumulation of position estimation errors over time, which severely restricts their positioning accuracy. This paper provides a systematic review of IMU calibration and drift suppression error compensation methods applicable to underground pipeline environments. Building upon this foundation, it innovatively proposes a three-tiered review framework based on “error characteristics–compensation mechanisms–application scenarios”. The framework begins with the characterization of error factors, maps them to corresponding compensation mechanisms, and then applies them to specific operating conditions. It identifies current research limitations in real-time performance, robustness, experimental validation, and standardized evaluation. Future efforts should focus on designing lightweight fusion algorithms, integrating deep learning with sensor fusion, and establishing standardized testing platforms. This paper aims to summarize the current state and development trends of inertial sensor error compensation methods, providing a reference for advancing related technologies while offering beginners a clear and systematic learning path. Full article
Show Figures

Figure 1

28 pages, 18793 KB  
Article
Long Term Rain Patterns of Major Watersheds in Saudi Arabia
by A A Alazba, Amr Mossad, Hatim M. E. Geli, Ahmed El-Shafei, Nasser Alrdyan, Mahmoud Ezzeldin and Farid Radwan
Water 2025, 17(21), 3086; https://doi.org/10.3390/w17213086 - 28 Oct 2025
Abstract
Understanding long-term rainfall variability is essential for addressing Saudi Arabia’s growing challenges of water scarcity, climate resilience, and sustainable resource management in its arid to hyper-arid environment. This study analyzes the spatiotemporal variations and long-term rainfall trends across the 13 administrative regions of [...] Read more.
Understanding long-term rainfall variability is essential for addressing Saudi Arabia’s growing challenges of water scarcity, climate resilience, and sustainable resource management in its arid to hyper-arid environment. This study analyzes the spatiotemporal variations and long-term rainfall trends across the 13 administrative regions of the Kingdom of Saudi Arabia (KSA) using four decades of observed data (1982–2021) from the National Center for Meteorology (NCM). The non-parametric Mann–Kendall (M–K) test and Sen’s slope estimator were applied to detect and quantify rainfall trends. Results reveal that 10 of the 13 regions show statistically significant negative trends, excluding the Eastern, Mecca, and Tabuk regions, with declines ranging from −4 to −16 mm/yr. The most pronounced decreases occurred in Hail, Al-Qassim, Riyadh, Medina, and Asir, while Mecca and Tabuk exhibited weak positive signals during the last decade, likely linked to Red Sea Trough dynamics. Seasonal analysis indicates the largest declines during winter and spring, crucial periods for groundwater recharge and agriculture, whereas summer rainfall remains localized in the southwestern highlands with a slight decreasing trend. Overall, rainfall variability in Saudi Arabia reflects both long-term drying and short-term oscillations. The findings provide a robust rainfall baseline to support water security, climate adaptation, and sustainable management strategies in one of the world’s driest regions. Full article
(This article belongs to the Section Water and Climate Change)
Show Figures

Figure 1

14 pages, 1037 KB  
Article
Range Anxiety, Charging Infrastructure, and Electric Vehicle Adoption in Washington State
by Thomas Gifford and Edward B. Barbier
Sustainability 2025, 17(21), 9591; https://doi.org/10.3390/su17219591 (registering DOI) - 28 Oct 2025
Abstract
Electric vehicles (EVs) are widely recognized as a critical component of strategies for a more sustainable transportation sector. However, adoption remains uneven across communities, in part due to the concern that limited charging availability and long commutes discourage EV use. This paper evaluates [...] Read more.
Electric vehicles (EVs) are widely recognized as a critical component of strategies for a more sustainable transportation sector. However, adoption remains uneven across communities, in part due to the concern that limited charging availability and long commutes discourage EV use. This paper evaluates the following two hypotheses: (H1) census tracts with longer average commute durations exhibit lower levels of EV adoption, and (H2) greater availability of local charging infrastructure is associated with higher levels of adoption. Using a cross-sectional dataset of 2024 EV registrations in Washington State merged with census tract demographic characteristics, we estimate ordinary least squares models of per capita adoption. The results show that longer average commutes are negatively associated with adoption, while greater charger density is positively associated with adoption. Demographic factors such as income, education, and race also shape adoption patterns. While the cross-sectional design does not permit causal inference, the analysis highlights how behavioral constraints related to range anxiety and infrastructural provision jointly influence EV uptake, providing evidence to guide more equitable and effective EV policies for sustainable transportation. Full article
(This article belongs to the Special Issue Sustainable Transportation Engineering and Mobility Safety Management)
Show Figures

Figure 1

27 pages, 18396 KB  
Article
Windthrow Mapping with Sentinel-2 and PlanetScope in Triglav National Park: A Regional Case Study
by Matej Zupan, Krištof Oštir and Ana Potočnik Buhvald
Remote Sens. 2025, 17(21), 3568; https://doi.org/10.3390/rs17213568 - 28 Oct 2025
Abstract
Extreme weather increasingly damages forest ecosystems, and affected areas are often remote or inaccessible, limiting field surveys. In such contexts, remote sensing can complement damage assessment. This study presents a regional case study evaluating established multi-temporal optical change detection for windthrow mapping in [...] Read more.
Extreme weather increasingly damages forest ecosystems, and affected areas are often remote or inaccessible, limiting field surveys. In such contexts, remote sensing can complement damage assessment. This study presents a regional case study evaluating established multi-temporal optical change detection for windthrow mapping in Triglav National Park (Slovenia) using Sentinel-2 and PlanetScope imagery. Bitemporal index differencing and fixed thresholds were applied, with accuracy quantified via a block bootstrap to account for spatial autocorrelation. Within-sample overall accuracy was 69.2% (95% CI: 67.4–71.2%) for Sentinel-2 and 72.9% (95% CI: 71.2–74.6%) for PlanetScope. Detection was strongly size-dependent: gaps greater than 0.5 ha were consistently detected, whereas gaps smaller than 0.1 ha were frequently omitted, particularly with Sentinel-2. Linking satellite-derived change maps with forest stand data enabled parcel-level estimates of damaged timber volume; this linkage was examined on a small, non-probability set of parcels and is therefore preliminary. We position the work strictly as a case study documenting within-sample performance in alpine terrain. Broader generalisation will require probability-based validation across additional events and forest types, and wider access to parcel-level official records. Full article
(This article belongs to the Special Issue Forest Disturbance Monitoring with Optical Satellite Imagery)
16 pages, 2077 KB  
Article
Establishment of a COI Haplotype Baseline and Genetic Diversity Evaluation of Vespa soror (Hymenoptera: Vespidae) in Southern China Based on Mitochondrial Gene Sequences
by Junming Cui, Jinlu Zhang, Jun Liu, Zian Wang, Yanhe Guo, Jun Yang and Zhenji Wang
Diversity 2025, 17(11), 756; https://doi.org/10.3390/d17110756 - 28 Oct 2025
Abstract
Vespa soror, is an important resource insect that is widely distributed in China. However, there have been few reports on the genetic diversity of this species so far. We based our study on Cytochrome c Oxidase Subunit I (COI) gene [...] Read more.
Vespa soror, is an important resource insect that is widely distributed in China. However, there have been few reports on the genetic diversity of this species so far. We based our study on Cytochrome c Oxidase Subunit I (COI) gene as a molecular marker, to estimate the genetic diversity of V. soror. The length of the COI gene is 614 base pairs (bp), and a total of 26 haplotypes were obtained. Among these haplotypes, Hap_3 and Hap_13 are the dominant haplotypes. Overall, V. soror exhibits high genetic diversity, with a haplotype diversity (Hd) of 0.941 ± 0.010 and a nucleotide diversity (Pi) of 0.01068 ± 0.00079. Significant genetic differentiation has occurred among populations, with pairwise Fixation Index (Fst) values greater than 0.25 accounting for over two-thirds of all comparisons. The overall FST value was 0.47872. Despite fluctuations in the degree of genetic differentiation among different populations (−0.076 to 1.00), the overall level of genetic differentiation remained within a relatively high range. For most populations, the Tajima’s D and Fu’s Fs test results were positive, and both were non-significant (p > 0.10). AMOVA attributed 15.82%, 36.37%, and 47.81% of total variation to among-group, among-population within-group, and within-population variation, respectively. Overall, it exhibits high genetic diversity, significant genetic differentiation. Full article
(This article belongs to the Special Issue Diversity, Biodiversity, Threats and Conservation of Arthropods)
Show Figures

Figure 1

30 pages, 10874 KB  
Article
Comparative Analysis of Evolutionary Distances Using the Genus Mycobacterium
by Danila Zimenkov and Anastasia Ushtanit
Int. J. Mol. Sci. 2025, 26(21), 10471; https://doi.org/10.3390/ijms262110471 - 28 Oct 2025
Abstract
Infections caused by nontuberculous mycobacteria are becoming significant due to the increasing number of vulnerable individuals worldwide. Understanding the evolutionary relationships within the genus Mycobacterium is critical for improving species identification and, consequently, enhancing diagnosis, treatment, and epidemiological tracking. Pairwise comparisons of average [...] Read more.
Infections caused by nontuberculous mycobacteria are becoming significant due to the increasing number of vulnerable individuals worldwide. Understanding the evolutionary relationships within the genus Mycobacterium is critical for improving species identification and, consequently, enhancing diagnosis, treatment, and epidemiological tracking. Pairwise comparisons of average nucleotide identity, genome–genome distance calculations, Mash values, multilocus sequence analyses, and average amino acid identities (AAIs) revealed that the AAI metric is the best to distinguish Mycobacterium from other genera of Mycobacteriales. Furthermore, genes encoding 16S and 23S rRNAs could also be used for the genus delineation: the previously established threshold of 94.5–95.0% of the rrs was confirmed, and the value for the rrl gene was estimated at 88.5–89.0%. The genus-delineating thresholds do not confirm the proposed splitting of the Mycobacterium into five genera, and the overall performance of conserved signatures used for splitting was not satisfactory. We estimated that Mycobacterium contains at least 402 distinct species, 246 of which were identified in clinical human specimens. The obtained tree and the corresponding list of species with proposed corrections to the names made from whole-genome sequences provide a reliable framework for the identification and taxonomic positioning of novel species within the genus. Full article
(This article belongs to the Section Molecular Biology)
Show Figures

Figure 1

19 pages, 2116 KB  
Article
Synthesis and Anticancer Evaluation of Some Glycine Conjugated Hybrid Compounds Containing Coumarin, Thiophene and Quinazoline Moieties
by Nedime Çalışkan, Emre Menteşe, Fatih Yılmaz, Süleyman İlhan and Mustafa Emirik
Pharmaceuticals 2025, 18(11), 1627; https://doi.org/10.3390/ph18111627 - 28 Oct 2025
Abstract
Background/Objectives: Cancer is one of the world’s leading causes of death. In 2022 alone, 9.74 million people died of cancer. It is estimated that this figure will rise to 10.4 million by 2025. Prostate and breast cancer are the most frequently diagnosed [...] Read more.
Background/Objectives: Cancer is one of the world’s leading causes of death. In 2022 alone, 9.74 million people died of cancer. It is estimated that this figure will rise to 10.4 million by 2025. Prostate and breast cancer are the most frequently diagnosed cancers in the world. Methods: Notably, compound 9f displayed the highest activity against both prostate cancer (PC-3) and breast cancer (MCF-7) cell lines. It was seen that substitution on the coumarin ring had a positive effect on anticancer activity (except chlorine substitution at the 6th position of coumarin), while it had a negative effect on the selectivity index (the ratio of IC50 calculated for healthy and cancer cells). Conclusions: The findings are consistent with the results obtained in the Molecular Docking study. Molecular docking studies were performed to investigate the binding affinities of the synthesized compounds towards kinesin-associated motor protein EG5, Human Ribonucleotide Reductase and Human Topoisomerase II, confirming their potent in vitro cytotoxicity against cancer cell lines. In accordance with the findings of experimental studies, compound 9f demonstrated the optimal docking binding scores. Full article
(This article belongs to the Topic Advances in Anti-Cancer Drugs: 2nd Edition)
Show Figures

Figure 1

Back to TopTop