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23 pages, 3551 KiB

Open AccessArticle

Evaluation of Pore Structure Characteristics and Permeability of In Situ-Blasted Leachable Ore in Stopes Under Varying Particle-Size Gradations

by Kun Liu, Deqing Gan and Zhenlin Xue

Minerals 2025, 15(8), 848; https://doi.org/10.3390/min15080848 (registering DOI) - 9 Aug 2025

Abstract

In recent years, in situ blasting–leaching, in the stope has emerged as an economically viable and environmentally sustainable mining technique for low-grade ore deposits. While the leaching efficiency is influenced by factors such as ore type, solution composition, and spraying speed, the most [...] Read more.

In recent years, in situ blasting–leaching, in the stope has emerged as an economically viable and environmentally sustainable mining technique for low-grade ore deposits. While the leaching efficiency is influenced by factors such as ore type, solution composition, and spraying speed, the most significant factor is the effect of post-blasting crushed-stone particle size and gradation on the pore structure, which subsequently influences seepage and leaching performance. To investigate how particle size and gradation affect the pore structure of granular media, physical models of ore particles with varying sizes and gradations were constructed. These models were scanned and three-dimensionally reconstructed using CT scanning technology and Avizo software (Avizo, Version 2023.1; Thermo Fisher Scientific: Waltham, MA, USA, 2023) enabling quantitative analysis of pore structure parameters. The results indicate that the coefficient of uniformity (Cu) is approximately negatively correlated with porosity, while the vertical absolute permeability (kz) follows an attenuated exponential trend. When the fine-particle content (L8 > L3 > L1) increases by 1.5-fold and 9-fold, the number of pore throats increases by 8.71% and 30.91%, respectively, the average pore size decreases by 75.1% and 64.4%, the average throat size decreases by 66.3% and 60%, and the connectivity rate decreases by 92% and 77.8%. This study further evaluates permeability based on the aforementioned pore structure parameters. Multiple regression analysis reveals that the connectivity rate and throat size have the most significant influence on permeability. Accordingly, permeability analysis and prediction are conducted using the improved Purcell formula, which demonstrates a strong correlation with the experimentally measured results. Full article

(This article belongs to the Section Mineral Processing and Extractive Metallurgy)

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28 pages, 1378 KiB

Open AccessArticle

A Circuital Equivalent for Supercapacitors Accurate Simulation in Power Electronics Systems

by Catalina Rus-Casas, Carlos Andrés Ramos-Paja, Sergio Ignacio Serna-Garcés, Carlos Gilabert-Torres and Juan Domingo Aguilar-Peña

Batteries 2025, 11(8), 307; https://doi.org/10.3390/batteries11080307 (registering DOI) - 9 Aug 2025

Abstract

The effective integration of energy storage systems is paramount for the widespread deployment of renewable energy technologies. Selection of a specific storage system is typically dictated by the primary challenge it aims to mitigate, such as intermittency, grid stability, or power quality. The [...] Read more.

The effective integration of energy storage systems is paramount for the widespread deployment of renewable energy technologies. Selection of a specific storage system is typically dictated by the primary challenge it aims to mitigate, such as intermittency, grid stability, or power quality. The optimization of overall system efficiency and longevity is increasingly achieved through hybrid storage systems that integrate supercapacitors into their designs. This research introduces a novel circuital equivalent for a commercial supercapacitor, optimized for precise simulations within the frequency range of power electronics applications. A key distinction of this circuital equivalent lies in its rigorous foundation: its comprehensive characterization across a broad frequency spectrum, specifically from 0.01 Hz to 300 kHz, employing a commercial frequency response analyzer. This precise circuital representation offers substantial utility in simulation, analysis, and design of high-frequency circuits, particularly for switched-power converter design and control. It enables the anticipation of undesirable phenomena, such as significant voltage ripple and operational instability. This predictive capability is crucial for experimental preparation, facilitating the proactive integration of necessary filters and protective measures within sensing circuits, thereby underscoring its value prior to physical implementation. In addition, the developed circuital equivalent exhibits broad compatibility, allowing seamless implementation within commercial circuit simulators. Finally, the proposed methodology was illustrated with a commercial supercapacitor, but it can be applied to other supercapacitor types or manufacturers. Full article

(This article belongs to the Special Issue High-Performance Supercapacitors: Preparation and Application—2nd Edition)

15 pages, 3935 KiB

Open AccessArticle

Spatiotemporal Evolution of Soil Quality Under Long-Term Apple Cultivation in the Taihang Mountains, China

by Yang Liu, Xingrui Zhang, Zhuo Li, Xiaoyi Liang, Meidan Chi and Feng Ge

Agronomy 2025, 15(8), 1922; https://doi.org/10.3390/agronomy15081922 (registering DOI) - 9 Aug 2025

Abstract

The present study aims to investigate the impact of long-term apple production and orchard management practices on soil quality in gneiss mountainous regions. The microbial community (as measured by phospholipid fatty acid analysis) and soil physicochemical properties (bulk density, organic matter, nitrogen, phosphorus, [...] Read more.

The present study aims to investigate the impact of long-term apple production and orchard management practices on soil quality in gneiss mountainous regions. The microbial community (as measured by phospholipid fatty acid analysis) and soil physicochemical properties (bulk density, organic matter, nitrogen, phosphorus, and potassium) were determined in soil samples collected from apple plantations of various ages (0-, 8-, 22-, 29-, and 36-year) in Gangdi Village, Xingtai, China. The soil samples were collected from depths of 0–20, 20–40, and 40–60 cm. The findings of the present study demonstrate that with increasing duration of apple cultivation, the soil bulk density and porosity decreased and increased, respectively. Initially, the content of soil nutrients such as organic matter, nitrogen, and phosphorus increased, eventually stabilizing, accompanied by a decline in pH. The soil microbial biomass significantly increased, accompanied by discernible alterations in the composition of the microbial community. Organic matter was found to be the primary factor influencing the structure and diversity of microbial communities. It is evident from forward analysis that the soil Gram-negative and actinomycete communities were predominantly influenced by soil pH, bulk density, and total phosphorus. In contrast, the Gram-positive and eukaryote communities were less affected by soil environmental factors. Notably, the soil bacterial community presented a greater degree of sensitivity to the duration of apple cultivation than did the fungal community. A marked vertical difference in the soil quality indicators was evident, with the increase in surface soil quality exceeding that of deeper soil depths. Full article

(This article belongs to the Section Soil and Plant Nutrition)

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16 pages, 970 KiB

Open AccessArticle

Resistance to Antileishmanial Drug Candidates: A Flowchart for an Early Phenotypic Evaluation of Risk

by Nalia Mekarnia, Sandrine Cojean and Philippe M. Loiseau

Drugs Drug Candidates 2025, 4(3), 38; https://doi.org/10.3390/ddc4030038 (registering DOI) - 9 Aug 2025

Abstract

Background: Drug development for leishmaniases treatment follows a very selective process in order to propose drug candidates that possess all the qualities that meet the strict specifications of the pharmaceutical industry. Drug resistance is a limiting factor that can impact the lifespan of [...] Read more.

Background: Drug development for leishmaniases treatment follows a very selective process in order to propose drug candidates that possess all the qualities that meet the strict specifications of the pharmaceutical industry. Drug resistance is a limiting factor that can impact the lifespan of a marketed drug. It is now essential that the risk of drug resistance be evaluated at the early stage of in vitro studies to discard a lead compound that could quickly generate drug resistance once available on the market. Objectives: This article aims to estimate the risk of drug resistance emergence for a promising drug candidate at the in vitro early stage of drug development. Methods: A sequential method is proposed to study some of the phenotypic characteristics and parameters of resistant parasites such as time to achieve maximal resistance during stepwise drug pressure, resistance amplitude, stability, fitness, and infectivity both in vitro and in vivo. Results: Some examples with drugs in clinical use and former drug candidates are given. Conclusions: This method providing an evaluation of the risk of drug resistance from an in vitro model of Leishmania donovani be extrapolated to other Leishmania species. Full article

(This article belongs to the Collection Anti-Parasite Drug Discovery)

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20 pages, 21076 KiB

Open AccessArticle

Domain-Aware Reinforcement Learning for Prompt Optimization

by Mengqi Gao, Bowen Sun, Tong Wang, Ziyu Fan, Tongpo Zhang and Zijun Zheng

Mathematics 2025, 13(16), 2552; https://doi.org/10.3390/math13162552 (registering DOI) - 9 Aug 2025

Abstract

Prompt engineering provides an efficient way to adapt large language models (LLMs) to downstream tasks without retraining model parameters. However, designing effective prompts can be challenging, especially when model gradients are unavailable and human expertise is required. Existing automated methods based on gradient [...] Read more.

Prompt engineering provides an efficient way to adapt large language models (LLMs) to downstream tasks without retraining model parameters. However, designing effective prompts can be challenging, especially when model gradients are unavailable and human expertise is required. Existing automated methods based on gradient optimization or heuristic search exhibit inherent limitations under black box or limited-query conditions. We propose Domain-Aware Reinforcement Learning for Prompt Optimization (DA-RLPO), which treats prompt editing as a sequential decision process and leverages structured domain knowledge to constrain candidate edits. Our experimental results show that DA-RLPO achieves higher accuracy than baselines on text classification tasks and maintains robust performance with limited API calls, while also demonstrating effectiveness on text-to-image and reasoning tasks. Full article

(This article belongs to the Special Issue Multi-Criteria Decision Making Under Uncertainty)

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17 pages, 7637 KiB

Open AccessArticle

Metal Oxide-Doped Pd-Based Catalysts for Enhanced Formaldehyde Oxidation

by Bohao Chang, Xingyu Li, Zeren Rong, Xingshu Wang and Zhihui Liu

Catalysts 2025, 15(8), 762; https://doi.org/10.3390/catal15080762 (registering DOI) - 9 Aug 2025

Abstract

In this study, a novel strategy to enhance the performance of palladium (Pd)-based catalysts by doping with metal oxides (Mn₃O₄, MoO₃, and SnO) has been developed in order to overcome the limitations of its low activity and [...] Read more.

In this study, a novel strategy to enhance the performance of palladium (Pd)-based catalysts by doping with metal oxides (Mn₃O₄, MoO₃, and SnO) has been developed in order to overcome the limitations of its low activity and high cost in the catalytic oxidation of formaldehyde (HCHO). The novelty of this strategy lies in the fact that by precisely controlling the types and doping ratios of the metal oxides, a significant enhancement of the electrochemical performance and catalytic activity of the Pd-based catalysts was achieved, while the dependence on precious metals was reduced and the cost-effectiveness of the catalysts was improved. The effects of different metal oxide doping on the catalytic performance were systematically investigated by electrochemical characterization and catalytic activity tests. Among the prepared catalysts, Pd-Mn₃O₄ showed the most excellent performance, with an electrochemically active surface area of 20.6 m²/g and a formaldehyde oxidation reaction (FOR) current density of 3.5 mA/cm², which were 31.6% and 169.2% higher than pure Pd, respectively. In a 1000 s timed current method stability test, the limiting current density of Pd-Mn₃O₄ reached 0.48 mA/cm², which is 4.4 times higher than that of pure Pd. The excellent catalytic performance is attributed to the abundant surface hydroxyl (-OH) groups provided by Mn₃O₄, which contribute to the oxidation of formaldehyde intermediates, as well as the electronic synergistic effect between Pd and Mn₃O₄, which is manifested as a 0.4 eV downshift of the Pd 3d binding energy. In addition, the sensor evaluation showed that the Pd-Mn₃O₄-based formaldehyde sensor exhibited a high sensitivity (1.5 μA/ppm), excellent linearity (R² = 0.995), minimal long-term degradation (<7% in 30 days), and ~20-fold selectivity for formaldehyde over interfering gases (e.g., ethanol). This study provides a theoretical basis and practical material reference for the development of efficient and low-cost catalysts for formaldehyde oxidation. Full article

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17 pages, 603 KiB

Open AccessReview

Host–Microbiome Interactions in Chronic Itch

by Tammy Gonzalez, Sophie M. Bilik, Olivia M. Burke, Irena Pastar and Gil Yosipovitch

J. Clin. Med. 2025, 14(16), 5633; https://doi.org/10.3390/jcm14165633 (registering DOI) - 9 Aug 2025

Abstract

Chronic itch is a debilitating condition characterized by persistent pruritus lasting more than six weeks, significantly impairing quality of life. While the role of the immune system and neural circuits in itch is increasingly understood, the contribution of the skin microbiome, especially in [...] Read more.

Chronic itch is a debilitating condition characterized by persistent pruritus lasting more than six weeks, significantly impairing quality of life. While the role of the immune system and neural circuits in itch is increasingly understood, the contribution of the skin microbiome, especially in non-atopic itch disorders, remains underexplored. This review synthesizes emerging evidence on how microbial dysbiosis contributes to chronic pruritus through multiple molecular pathways: disruption of skin barrier integrity, modulation of neuroimmune signaling axes, and direct activation of pruriceptors. We highlight recent studies identifying microbiome shifts in prurigo nodularis (PN) and lichen simplex chronicus (LSC), independent of atopic dermatitis (AD). We also evaluate advances in biologics and small-molecule therapeutics, exploring how targeted immune modulation may restore microbial balance and alleviate neuroinflammation. A systems biology approach integrating microbial genomics, neurobiology, and host immunity is critical to unraveling the complex interplay between host and microbes in chronic itch, particularly in understudied non-atopic conditions that disproportionately affect vulnerable populations. Full article

(This article belongs to the Section Dermatology)

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16 pages, 2479 KiB

Open AccessArticle

Fractional Order Analysis of Creep Characteristics of Sandstone with Multiscale Damage

by Shuai Yang, Wentao Zhou, Senlin Xie, Bo Lei and Hongchen Song

Mathematics 2025, 13(16), 2551; https://doi.org/10.3390/math13162551 (registering DOI) - 9 Aug 2025

Abstract

Deep mining is often accompanied by complex geological conditions, which can cause damage to the coal seam roof surrounding rock, thereby reducing its safety and stability. Therefore, analyzing the long-term mechanical behavior of multiscale damaged sandstone under deep mining conditions is of great [...] Read more.

Deep mining is often accompanied by complex geological conditions, which can cause damage to the coal seam roof surrounding rock, thereby reducing its safety and stability. Therefore, analyzing the long-term mechanical behavior of multiscale damaged sandstone under deep mining conditions is of great significance. To describe the long-term deformation and damage evolution of multiscale damaged sandstone under deep mining conditions, this work establishes a fractional-order multiscale damage creep model by incorporating fractional calculus and damage mechanics theory into the Nishihara model. The model parameters were determined by fitting the creep data of damaged sandstone using the least squares method. The results demonstrate that the proposed model can accurately simulate the complete creep process, including the decelerated, steady-state, and accelerated stages. Compared with the classical integer-order multiscale damage creep model, the fractional-order model can better capture the time-dependent behavior of materials and thus shows superior performance in characterizing the nonlinear features of the accelerated creep stage. Furthermore, through sensitivity analysis of the parameters reveals the influence of key parameters on different creep stages, thereby validating the model’s effectiveness and reliability. This model provides a solid theoretical foundation for evaluating the long-term stability of coal mine roof strata in deep mining environments. Full article

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14 pages, 651 KiB

Open AccessArticle

Impact of Simulated Gastric Acid and Surface Treatment on the Color Stability and Roughness of Zirconia

by Fulya Basmaci, Ali Can Bulut and Gokce Soganci Unsal

Appl. Sci. 2025, 15(16), 8802; https://doi.org/10.3390/app15168802 (registering DOI) - 9 Aug 2025

Abstract

This in vitro study evaluated the impact of simulated gastric acid exposure on the optical (ΔE₀₀, translucency parameter TP, contrast ratio CR) and surface (roughness Ra) properties of monolithic zirconia ceramics under varying sintering rates and surface treatments. Forty-eight disc specimens [...] Read more.

This in vitro study evaluated the impact of simulated gastric acid exposure on the optical (ΔE₀₀, translucency parameter TP, contrast ratio CR) and surface (roughness Ra) properties of monolithic zirconia ceramics under varying sintering rates and surface treatments. Forty-eight disc specimens (10 mm × 10 mm × 1.0 mm) were randomly allocated into four groups (n = 12): slow sintering + polishing; slow sintering + glazing; fast sintering + polishing; and fast sintering + glazing. Specimens were aged in 0.06 M of HCl (hydrochloric acid) for 96 h, and all measurement parameters were assessed against white and black backgrounds before and after aging. Statistical analyses (Shapiro–Wilk, Kruskal–Wallis, Wilcoxon tests; α = 0.05) revealed that acid aging caused a significant increase in ΔE₀₀ across all groups (p < 0.05), with the smallest change observed in the fast-sintering + glazing group and the largest in the slow-sintering + glazing group. Contrast ratios remained high in all groups (CR > 0.92), while only the slow-sintering + glazing group exhibited a significant reduction in TP (p < 0.05). Surface roughness decreased following aging in all groups, with the lowest Ra detected in the fast-sintering + glazing group. These results suggest that fast sintering combined with glazing enhances color stability and yields smoother surfaces under acidic conditions, recommending this protocol particularly for patients at elevated risk of increased oral acidity. Full article

(This article belongs to the Section Applied Dentistry and Oral Sciences)

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32 pages, 5843 KiB

Open AccessArticle

Switchable Building-Integrated Photovoltaic–Thermal Curtain Wall for Building Integration

by Masoud Valinejadshoubi, Anna-Maria Sigounis, Andreas K. Athienitis and Ashutosh Bagchi

Processes 2025, 13(8), 2512; https://doi.org/10.3390/pr13082512 (registering DOI) - 9 Aug 2025

Abstract

This study presents a novel switchable multi-inlet Building integrated photovoltaic/thermal (BIPV/T) curtain wall system designed to enhance solar energy utilization in commercial buildings. The system integrates controllable air inlets and motorized dampers that dynamically adjust airflow patterns in response to real-time environmental conditions [...] Read more.

This study presents a novel switchable multi-inlet Building integrated photovoltaic/thermal (BIPV/T) curtain wall system designed to enhance solar energy utilization in commercial buildings. The system integrates controllable air inlets and motorized dampers that dynamically adjust airflow patterns in response to real-time environmental conditions such as solar irradiance, ambient air temperature, and PV panel temperature. A steady-state energy balance model, developed using a thermal network analogy and implemented in Python, was used to simulate winter operation in Montréal, Canada. Three operating modes with different air inlet configurations were assessed to evaluate system performance across variable air velocities and solar conditions. Results indicate that the switchable system improves combined thermal and electrical generation by 2% to 25% compared to fixed one- or two-inlet systems. Under low irradiance and air velocity, one-inlet operation is dominant, while higher solar gain and airflow favor two-inlet configurations. The system demonstrates effective temperature control and enhanced energy yield through optimized airflow management. This work highlights the potential of integrated control strategies and modular façade design in improving the efficiency of solar building envelope systems and offers practical implications for scalable deployment in energy-efficient, heating-dominated climates Full article

(This article belongs to the Special Issue Design and Optimisation of Solar Energy Systems)

21 pages, 2490 KiB

Open AccessArticle

Optimization of Tribological Properties of Shot-Peened Surfaces via Multi-Criteria Decision-Making Using TOPSIS and GRA

by Andrzej Dzierwa and Izabela Miturska-Barańska

Materials 2025, 18(16), 3733; https://doi.org/10.3390/ma18163733 (registering DOI) - 9 Aug 2025

Abstract

The article presents a comparative analysis of experimental results from tribological tests conducted using a ball-on-disc system, applying two multi-criteria decision-making methods: Grey Relational Analysis (GRA) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The aim of the study was [...] Read more.

The article presents a comparative analysis of experimental results from tribological tests conducted using a ball-on-disc system, applying two multi-criteria decision-making methods: Grey Relational Analysis (GRA) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The aim of the study was to identify the most advantageous combinations of input parameters—load, sliding speed, and sliding distance—while simultaneously evaluating three output criteria: volumetric wear (VD), coefficient of friction (CoF), and weight loss (WL). The analysis covered 27 test variants, with different weighting factors assigned to each criterion to reflect their practical significance (0.35 for VD, 0.45 for CoF, and 0.2 for WL). The results obtained using the GRA method showed good agreement with the TOPSIS rankings in identifying the best-performing variants, although differences were observed due to the distinct algorithms used to evaluate trade-offs. The optimal solutions were characterized by low wear, a low coefficient of friction, and minimal weight loss. The study demonstrates the effectiveness of both methods for tribological analysis and suggests that their combined use can serve as a robust tool for optimizing the operating conditions of friction nodes. Full article

(This article belongs to the Special Issue Metallic and Ceramic Materials Integrity—Surface Engineering for Wear, Corrosion and Erosion Prevention (2nd Edition))

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19 pages, 1647 KiB

Open AccessArticle

An Improved SM2 Digital Signature Algorithm with High-Precision Timestamps for Trusted Metrological Data

by Zhanshuo Cao, Boyong Gao, Xingchuang Xiong and Zilong Liu

Sensors 2025, 25(16), 4920; https://doi.org/10.3390/s25164920 (registering DOI) - 9 Aug 2025

Abstract

With the advancement of modern technologies, the digitization of metering data has significantly improved the efficiency and accuracy of data collection, analysis, and management. However, the growing prevalence of data tampering techniques has raised serious concerns regarding the trustworthiness and integrity of such [...] Read more.

With the advancement of modern technologies, the digitization of metering data has significantly improved the efficiency and accuracy of data collection, analysis, and management. However, the growing prevalence of data tampering techniques has raised serious concerns regarding the trustworthiness and integrity of such data. To address this challenge, this study proposes an improved SM2 digital signature algorithm enhanced with high-precision time information to strengthen the reliability of metering data. The proposed algorithm incorporates high-precision timestamps into the signature generation and verification processes, while optimizing the structure of the signature algorithm—particularly the modular inversion operation—to reduce computational costs. Experimental results demonstrate that the improved algorithm not only significantly enhances signature generation efficiency but also improves temporal validity and security by leveraging high-precision time information. It effectively mitigates risks associated with random number dependency and replay attacks, offering a secure and efficient solution for trustworthy metering data verification. Full article

(This article belongs to the Section Intelligent Sensors)

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23 pages, 2401 KiB

Open AccessArticle

Enhancing Community Participation for the Reconstruction of Residential Heritage in the Old City of Aleppo

by Christine Kousa, Barbara Lubelli and Uta Pottgiesser

Heritage 2025, 8(8), 319; https://doi.org/10.3390/heritage8080319 (registering DOI) - 9 Aug 2025

Abstract

This research investigates how community participation can be enhanced to support the sustainable reconstruction of residential heritage in the Old City of Aleppo. In the aftermath of the Syrian war, reconstruction interventions on traditional courtyard houses have been affected by several issues, such [...] Read more.

This research investigates how community participation can be enhanced to support the sustainable reconstruction of residential heritage in the Old City of Aleppo. In the aftermath of the Syrian war, reconstruction interventions on traditional courtyard houses have been affected by several issues, such as a lack of knowledge among junior architects and craftsmen (regarding houses’ conditions, relevant regulations, and residents’ needs), and limited residents’ participation in decision-making processes. Drawing on international experiences in similar post-war contexts that highlight the role of education and a participatory approach as critical components for sustainable reconstruction efforts. This research conducts a comparative analysis of several international capacity-building and co-creation initiatives to identify effective methods of stakeholder engagement. Building on these findings, the study proposes an education programme tailored to the socio-cultural and regulatory context of the Old City of Aleppo. The proposed programme integrates academic knowledge with community perspectives using validated teaching and participatory methods, such as photovoice, walkthrough, and lectures etc., within a co-creation framework. It aims to raise awareness, build capacity, and enable residents through participation in all phases of the programme: co-diagnostic, co-design, co-implementation and co-monitoring. This way, residents are empowered to play an active role in interventions on residential heritage and to align these interventions with their needs and current regulations. Thus, the research presents a scalable model for cultural and socially sustainable residential heritage reconstruction. Full article

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26 pages, 8682 KiB

Open AccessArticle

Hybrid Alginate–Graphene Composites: Biochemical Features and Biomedical Potential

by Marcin H. Kudzin, Anna Kaczmarek, Zdzisława Mrozińska, Cesar Hernandez, Klaudia Piekarska, Katarzyna Woźniak, Michał Juszczak and Paulina Król

Mar. Drugs 2025, 23(8), 323; https://doi.org/10.3390/md23080323 (registering DOI) - 9 Aug 2025

Abstract

Alginate-based materials are widely studied for biomedical use, but their limited mechanical properties and variable biocompatibility pose challenges. In this work, hybrid composites composed of alginate, calcium, and graphene oxide were fabricated using a freeze-drying method and cross-linked with calcium ions via calcium [...] Read more.

Alginate-based materials are widely studied for biomedical use, but their limited mechanical properties and variable biocompatibility pose challenges. In this work, hybrid composites composed of alginate, calcium, and graphene oxide were fabricated using a freeze-drying method and cross-linked with calcium ions via calcium chloride at different concentrations. Structural and morphological features were assessed using SEM, EDS, ICP-MS, and BET analysis. The resulting composites exhibited a porous architecture, with calcium incorporation confirmed by elemental analysis. Surface characteristics and pore parameters were influenced by the presence of graphene oxide and the cross-linking process. The effects of the materials on haemostasis were evaluated through activated partial thromboplastin time (aPTT) and prothrombin time (PT) assays, revealing modulation of the intrinsic coagulation pathway without significant changes in the extrinsic pathway. In this study, we analysed the effect of alginate–graphene oxide composites on the viability of peripheral blood mononuclear (PBM) cells and human foreskin fibroblasts from the Hs68 cell line. We also assessed the genotoxic potential of alginate–graphene oxide composites on these cells. Our results showed no cyto- or genotoxic effects of the material on either cell type. These findings suggest the biocompatibility and safe character of alginate–graphene oxide composites for use with blood and skin cells. Full article

(This article belongs to the Section Biomaterials of Marine Origin)

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22 pages, 1710 KiB

Open AccessArticle

Machine Learning Techniques Improving the Box–Cox Transformation in Breast Cancer Prediction

by Sultan S. Alshamrani

Electronics 2025, 14(16), 3173; https://doi.org/10.3390/electronics14163173 (registering DOI) - 9 Aug 2025

Abstract

Breast cancer remains a major global health problem, characterized by high incidence and mortality rates. Developing accurate prediction models is essential to improving early detection and treatment outcomes. Machine learning (ML) has become a valuable resource in breast cancer prediction; however, the complexities [...] Read more.

Breast cancer remains a major global health problem, characterized by high incidence and mortality rates. Developing accurate prediction models is essential to improving early detection and treatment outcomes. Machine learning (ML) has become a valuable resource in breast cancer prediction; however, the complexities inherent in medical data, including biases and imbalances, can hinder the effectiveness of these models. This paper explores combining the Box–Cox transformation with ML models to normalize data distributions and stabilize variance, thereby enhancing prediction accuracy. Two datasets were analyzed: a synthetic gamma-distributed dataset that simulates skewed real-world data and the Surveillance, Epidemiology, and End Results (SEER) breast cancer dataset, which displays imbalanced real-world data. Four distinct experimental scenarios were conducted on the ML models with a synthetic dataset, the SEER dataset with the Box–Cox transformation, a SEER dataset with the logarithmic transformation, and with Synthetic Minority Over-sampling Technique (SMOTE) augmentation to evaluate the impact of the Box–Cox transformation through different lambda values. The results show that the Box–Cox transformation significantly improves the performance of Artificial Intelligence (AI) models, particularly the stacking model, achieving the highest accuracy with 94.53% and 94.74% of the F1 score. This study demonstrates the importance of feature transformation in healthcare analytics, offering a scalable framework for improving breast cancer prediction and potentially applicable to other medical datasets with similar challenges. Full article

(This article belongs to the Special Issue Advanced Machine Learning, Pattern Recognition, and Deep Learning Technologies: Methodologies and Applications, 2nd Edition)

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19 pages, 10057 KiB

Open AccessArticle

Investigations of the Sulfonated Poly(Ether Ether Ketone) Membranes with Various Degrees of Sulfonation by Considering Durability for the Proton Exchange Membrane Fuel Cell (PEMFC) Applications

by Yinfeng Song, Zhenshuo Guo, Jiayi Yin, Mengjie Liu, Ivan Tolj, Sergey A. Grigoriev, Mingming Ge and Chuanyu Sun

Polymers 2025, 17(16), 2181; https://doi.org/10.3390/polym17162181 (registering DOI) - 9 Aug 2025

Abstract

The optimum degree of sulfonation (DS) for sulfonated poly(ether ether ketone) (SPEEK) membranes is determined by comprehensive characterization results, including proton conductivity, swelling ratio, water uptake, chemical stability, thermal stability, mechanical indicators, and proton exchange membrane fuel cell (PEMFC) performance. The PEMFC with [...] Read more.

The optimum degree of sulfonation (DS) for sulfonated poly(ether ether ketone) (SPEEK) membranes is determined by comprehensive characterization results, including proton conductivity, swelling ratio, water uptake, chemical stability, thermal stability, mechanical indicators, and proton exchange membrane fuel cell (PEMFC) performance. The PEMFC with a membrane electrode assembly containing a SPEEK-62 (DS = 62%) membrane realizes the power density of 482.08 mW/cm², surpassing that of commercial Nafion-212 under identical conditions. In the crucial Fenton test for durability, the SPEEK-51 membrane demonstrated outstanding dimensional and chemical stability, with a decomposition time of up to 137 min, far surpassing the durability of SPEEK-62 or other membranes with a higher DS. The results indicate that in comparison to the SPEEK-67 membrane as reported in the literature, SPEEK membranes with a DS = 51~62% hold great potential for future applications in PEMFC, and further modifications of these membranes can be a promising approach to enhance the conductivity while maintaining good chemical stability. Full article

(This article belongs to the Special Issue Polymer Electrolyte Membrane Fuel Cells: Technology and Applications)

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14 pages, 2904 KiB

Open AccessArticle

Ancient Origins and Global Diversity of Plague: Genomic Evidence for Deep Eurasian Reservoirs and Recurrent Emergence

by Subhajeet Dutta, Aditya Upadhyay, Swamy R. Adapa, Gregory O’Corry-Crowe, Sucheta Tripathy and Rays H. Y. Jiang

Pathogens 2025, 14(8), 797; https://doi.org/10.3390/pathogens14080797 (registering DOI) - 9 Aug 2025

Abstract

Yersinia pestis, the causative agent of plague, has triggered multiple pandemics throughout human history, yet its long-term evolutionary patterns and reservoir dynamics remain poorly understood. Here, we present a global phylogenomic analysis of ancient and modern Y. pestis strains spanning from the [...] Read more.

Yersinia pestis, the causative agent of plague, has triggered multiple pandemics throughout human history, yet its long-term evolutionary patterns and reservoir dynamics remain poorly understood. Here, we present a global phylogenomic analysis of ancient and modern Y. pestis strains spanning from the Neolithic and Bronze Age to the present day. We show that pandemic-causing lineages did not arise from a single ancestral strain but instead emerged independently along deep branches of the Y. pestis phylogeny. Pandemic-associated Y. pestis strains were recovered exclusively from human remains and display clear local temporal divergence, indicating evolution driven by human transmission during outbreaks. These findings support the hypothesis that plague emergence is driven by complex, regionally rooted reservoirs, with recurrent spillovers into human populations across millennia. Our work highlights the need to view plague not as a series of isolated outbreaks but as a long-standing zoonotic threat shaped by deep evolutionary history, host ecology, and human societal structures. Full article

(This article belongs to the Special Issue Bacterial Pathogens—Strategies for Dissemination, Infection, and Persistence Within a Host)

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17 pages, 11835 KiB

Open AccessArticle

Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes

by Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Jinglin Zhang, Georgios Theodoropoulo and Long Cheng

Energies 2025, 18(16), 4238; https://doi.org/10.3390/en18164238 (registering DOI) - 9 Aug 2025

Abstract

Accurate and efficient next-event prediction in wind-turbine maintenance processes (WTMPs) is crucial for proactive resource planning and early fault detection. However, existing deep-learning-based prediction approaches often encounter performance challenges during the training phase, particularly when dealing with large-scale datasets. To address this challenge, [...] Read more.

Accurate and efficient next-event prediction in wind-turbine maintenance processes (WTMPs) is crucial for proactive resource planning and early fault detection. However, existing deep-learning-based prediction approaches often encounter performance challenges during the training phase, particularly when dealing with large-scale datasets. To address this challenge, this paper proposes a Sampling-based Next-event Prediction (SaNeP) approach for WTMPs. More specifically, a novel event log sampling technique is proposed to extract a representative sample from the original WTMP training log by quantifying the importance of individual traces. The trace prefixes of the sampled logs are then encoded using one-hot encoding and fed into six deep-learning models designed for next-event prediction. To demonstrate the effectiveness and applicability of the proposed approach, a real-life WTMP event log collected from the HuangYi wind farm in Hebei Province, China, is used to evaluate the prediction performance of various sampling techniques and ratios across six predictive models. Experimental results demonstrate that, at a 30% sampling ratio, SaNeP combined with the LSTM model achieves a 3.631-fold improvement in prediction efficiency and a 6.896% increase in prediction accuracy compared to other techniques. Full article

(This article belongs to the Section A3: Wind, Wave and Tidal Energy)

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16 pages, 2276 KiB

Open AccessArticle

Mechanical Behavior Analysis of Polypropylene-Based Composites and a Photopolymer Resin via Tensile and Scratch Testing

by Sergiu Gabriel Pal, Viorel Goanta, Ciprian Ionut Moraras and Vlad Carlescu

Polymers 2025, 17(16), 2180; https://doi.org/10.3390/polym17162180 (registering DOI) - 9 Aug 2025

Abstract

This study investigates the mechanical behavior of various plastic materials through tensile and scratch testing. Three polypropylene-based composites—PP-GB30GF10, PP-TD40, and PP-GF20—were subjected to uniaxial tensile tests in accordance with standard protocols to assess their strength, stiffness, and elongation characteristics. The results highlight notable [...] Read more.

This study investigates the mechanical behavior of various plastic materials through tensile and scratch testing. Three polypropylene-based composites—PP-GB30GF10, PP-TD40, and PP-GF20—were subjected to uniaxial tensile tests in accordance with standard protocols to assess their strength, stiffness, and elongation characteristics. The results highlight notable differences in the tensile performance depending on the type and percentage of reinforcing fillers, such as glass fibers and talc. In parallel, the scratch resistance was evaluated for specimens produced via stereolithography (SLA) using Formlabs Black V4 resin, a common photopolymer used in prototyping applications. The scratch test aimed to characterize the surface durability under localized mechanical stress. The findings contribute to a better understanding of the mechanical performance of these materials and their potential applications in fields requiring both structural integrity and surface resilience, such as automotive components and functional prototyping. Full article

(This article belongs to the Section Polymer Applications)

19 pages, 1099 KiB

Open AccessArticle

Generators of Inequality and Inequity Affecting Dental Patient Safety: A Grounded Theory Approach

by Diego A. Gil-Alzate, Isabel C. Posada-Zapata and Andrés A. Agudelo-Suárez

Int. J. Environ. Res. Public Health 2025, 22(8), 1248; https://doi.org/10.3390/ijerph22081248 (registering DOI) - 9 Aug 2025

Abstract

This study aimed to understand, through the voices of patients, the factors that contribute to inequality and inequity in oral healthcare and their implications for patient safety. A qualitative study was performed using a Grounded Theory approach (GT) through 13 in-depth interviews with [...] Read more.

This study aimed to understand, through the voices of patients, the factors that contribute to inequality and inequity in oral healthcare and their implications for patient safety. A qualitative study was performed using a Grounded Theory approach (GT) through 13 in-depth interviews with a flexible design, recorded and transcribed verbatim for study purposes. Open and axial coding and analysis categories were generated, and a conceptual and explicative framework was established. Ethical approval was obtained. The main findings highlighted how individual, social, and contextual factors significantly influence the materialization of risks and failures in oral healthcare, ultimately affecting patient safety in dental practice. These factors include individual factors, the relationship between professionals and patients, and failures in healthcare service provision. Participants’ discourses showed examples of inequities, such as gender, socioeconomic gradient, educative level, type of healthcare system, discrimination, stigmatization, and othering-otherness, and their effect on dental care and dentistry safety. Health inequities should be tackled in a preventive and proactive manner through the effective integration of intersectoral policies and strategies. This approach would enhance oral health, make patient safety a fundamental pillar of dental care, uphold human dignity, and strengthen trust in the healthcare system. Full article

(This article belongs to the Special Issue Oral Health Surveillance and Care)

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21 pages, 770 KiB

Open AccessArticle

Essential Oils from Wild Albanian Lamiaceae: GC-MS Profiling, Biological Activity, and Enhanced Delivery via Nanoencapsulation

by Elton Basha, Erjon Mamoçi, Aniket Sharma, Entela Hodaj-Çeliku, Sanije Zejnelhoxha, Mădălina L. Medeleanu, Sonia A. Socaci and Bledar Bisha

Molecules 2025, 30(16), 3329; https://doi.org/10.3390/molecules30163329 (registering DOI) - 9 Aug 2025

Abstract

The growing demand for natural preservatives has driven interest in essential oils (EOs) from medicinal and aromatic plants. This study examines the potential of EOs from six wild populations of Albanian Lamiaceae, specifically Origanum vulgare subsp. hirtum, Thymbra capitata, and [...] Read more.

The growing demand for natural preservatives has driven interest in essential oils (EOs) from medicinal and aromatic plants. This study examines the potential of EOs from six wild populations of Albanian Lamiaceae, specifically Origanum vulgare subsp. hirtum, Thymbra capitata, and Satureja montana species, to be utilized for food conservation, among other possible uses. The EOs were extracted by hydrodistillation, and their chemical profiles were analyzed through GC-MS. DPPH and ABTS assays were performed to evaluate antioxidant activity. The antimicrobial efficacy of the oils was assessed using the broth microdilution method against six common foodborne pathogens: Salmonella enterica serovar Enteritidis, Escherichia coli, Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Micrococcus luteus, and one fungus, Candida albicans. The most potent EOs in terms of yield and biological activity, resulting from O. vulgare subsp. hirtum and T. capitata, were encapsulated in oil-in-water emulsions, which were characterized for particle size and zeta potential. The results show that the populations of O.vulgare subsp. hirtum and T. capitata taken in the study belong to carvacrol chemotypes, and their EOs show strong antioxidant activity and are effective against all tested microorganisms. Nanoemulsions prepared with these EOs showed promising stability, indicating their potential as natural preservatives in food applications. Full article

(This article belongs to the Special Issue Natural Products: Extraction, Analysis and Biological Activities)

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10 pages, 220 KiB

Open AccessArticle

The Role of Nurse Practitioners in Surgical Settings Across the Perioperative Trajectory: A Comparative Study on Patient-Centered Outcomes

by Limor Chen, Ziv Gil, Nasra Idilbi, Dafna Zontag and Efrat Shadmi

Nurs. Rep. 2025, 15(8), 291; https://doi.org/10.3390/nursrep15080291 (registering DOI) - 9 Aug 2025

Abstract

Nurse practitioners (NPs) are increasingly integrated into surgical care teams, complementing traditional surgical roles. However, the relationship between their involvement and patient-reported outcome measures (PROMs), such as pain and anxiety, remains understudied. Purpose: To examine the types of care from NPs in [...] Read more.

Nurse practitioners (NPs) are increasingly integrated into surgical care teams, complementing traditional surgical roles. However, the relationship between their involvement and patient-reported outcome measures (PROMs), such as pain and anxiety, remains understudied. Purpose: To examine the types of care from NPs in surgical units during the perioperative period and evaluate their association with length of stay, pain, and anxiety. Methods: Our prospective comparative study in two surgical units at a tertiary medical center included 315 patients: 156 received care from NPs, and 159 received usual care. Data were collected at three time points: post-operative day one (T0), during hospitalization (T1), and 14 days post-discharge (T2). Measures included the Brief Pain Inventory, the Hospital Anxiety and Depression Scale, and an intervention checklist completed by the NPs. Findings: NPs performed primarily in-hospital interventions including care coordination (40%) and medication management (44%). Patients treated by NPs reported significantly lower in-hospital anxiety compared to usual care (p = 0.001). The length of stay and pain levels were not significantly associated with NP care. Discussion: NPs in surgical settings provide patient-centered care associated with lower in-hospital anxiety. Further research is recommended to validate these findings in diverse settings. Full article

20 pages, 543 KiB

Open AccessArticle

More than a Feeling: Self-Esteem as a Predictor of Life Satisfaction in Adolescents: A Cross-Sectional Analysis in Saudi Arabia

by Hawa Alabdulaziz

Children 2025, 12(8), 1046; https://doi.org/10.3390/children12081046 (registering DOI) - 9 Aug 2025

Abstract

Introduction: Prior research underscores self-esteem as a core determinant of life satisfaction and overall well-being. However, few studies have examined this relationship within the unique sociocultural context of Saudi Arabia. This study assesses the relationship between self-esteem and life satisfaction in adolescents, as [...] Read more.

Introduction: Prior research underscores self-esteem as a core determinant of life satisfaction and overall well-being. However, few studies have examined this relationship within the unique sociocultural context of Saudi Arabia. This study assesses the relationship between self-esteem and life satisfaction in adolescents, as well as the potential moderating effects of demographic factors. Methods: A cross-sectional study was conducted involving 502 adolescents aged 13–18, selected from urban and rural regions of Saudi Arabia. Participants completed the Rosenberg Self-Esteem Scale and the Satisfaction with Life Scale. Data were collected via online survey platforms. Descriptive statistics, correlation analyses, chi-square tests, and multivariate logistic regressions were performed using SPSS version 26. Ethical approval was obtained, and informed consent was secured from all participants. Results: A significant positive correlation was found between life satisfaction and self-esteem scores (r = 0.37, p < 0.001). Adolescents reporting dissatisfaction with life had over seven times greater odds of low self-esteem (OR = 7.2; 95% CI: 3.75–13.83). Higher life satisfaction was associated with being in secondary education, having a family income of 10,000 Saudi Riyal (SR) or more, and living with both parents. Additionally, prior contact with a psychologist was linked to lower self-esteem and reduced life satisfaction. Conclusions: Findings confirm self-esteem as a strong predictor of life satisfaction among Saudi adolescents. Socioeconomic status, family structure, and previous psychological consultation also influenced outcomes. These results emphasize the critical need for culturally sensitive mental health interventions tailored to the Saudi context. Furthermore, they highlight the importance of implementing early mental health screening and support programs within schools to provide accessible and preventive care for youth. Full article

(This article belongs to the Section Pediatric Mental Health)

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10 pages, 469 KiB

Open AccessArticle

Molecular Testing in Thyroid Nodules: How Much Does It Change Clinical Practice?

by Mehmet Kostek, Niranjna Swaminathan, Azeem Izhar, Andrea Gillis, Herbert Chen and Brenessa Lindeman

Biomedicines 2025, 13(8), 1947; https://doi.org/10.3390/biomedicines13081947 (registering DOI) - 9 Aug 2025

Abstract

Background/Objectives: Molecular testing is most commonly performed in evaluation of thyroid nodules with indeterminate Fine Needle Aspiration Biopsy (FNAB) results. However, in clinical practice, thyroidectomy may still be pursued in patients who present with clear clinical indications despite a benign molecular test result. [...] Read more.

Background/Objectives: Molecular testing is most commonly performed in evaluation of thyroid nodules with indeterminate Fine Needle Aspiration Biopsy (FNAB) results. However, in clinical practice, thyroidectomy may still be pursued in patients who present with clear clinical indications despite a benign molecular test result. The aim of this study is to identify clinical factors that influence the decision to proceed with surgery in the presence of a benign molecular test result. Methods: Patients who were evaluated in the outpatient clinic for thyroid nodules at one institution between January 2016 and January 2024 were retrospectively reviewed. Patients with FNAB results corresponding to Bethesda categories III or IV and a benign result on the Afirma molecular test were included. Demographic data, medical and family history, characteristics of thyroid nodules (including ultrasonographic features), surgical history, and postoperative pathology results were analyzed. Patients were divided into two groups based on clinical management—Observation (Group-1) or Thyroidectomy (Group-2)—and compared using Chi-square tests for bivariate analysis and multivariable logistic regression. Results: A total of 177 patients were included, with 87 (49.1%) in the observation group and 90 (50.9%) in the surgical group. Mean age was 55.9 ± 13.9 years and median nodule size (IQR) was 2.8 cm (1.95–4.0 cm). Bivariate analysis revealed the surgical group had significantly higher proportions of patients with compressive symptoms (p < 0.001), hyperthyroidism (p = 0.01), nodules >4 cm (p < 0.001) and documented nodule growth during follow-up (p < 0.001). Multivariate logistic regression identified the following factors as independently associated with the decision to proceed with surgery: compressive symptoms (OR: 23.2; 95%CI: 6.06–88.89; p < 0.001), hyperthyroidism (OR: 5.87; 95%CI: 1.63–21.20; p = 0.007), nodule size >4 cm (OR: 11.36; 95%CI: 3.90–33.12; p < 0.001), and increasing nodule size during follow-up (OR: 7.85; 95%CI: 2.72–22.65; p < 0.001). Conclusions: Despite a benign molecular test result, patients exhibiting compressive symptoms, hyperthyroidism, nodules larger than 4 cm, or evidence of nodule growth during follow-up are significantly more likely to undergo thyroidectomy. In such cases, molecular testing may offer limited clinical utility and could be omitted to optimize cost-effectiveness. Full article

(This article belongs to the Section Molecular and Translational Medicine)

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14 pages, 11988 KiB

Open AccessArticle

Kinetics Study on CO₂ Adsorption of Li₄SiO₄ Sorbents Prepared from Spent Lithium-Ion Batteries

by Xinmei Wang, Junqiang Han, Jianing Ni and Changlei Qin

Energies 2025, 18(16), 4237; https://doi.org/10.3390/en18164237 (registering DOI) - 9 Aug 2025

Abstract

With the advancement of global carbon reduction efforts and the rapid development of battery industries, the scale of spent lithium-ion batteries (LIBs) has increased dramatically. Extracting lithium from spent LIBs to synthesize Li₄SiO₄ sorbents not only addresses the challenge of [...] Read more.

With the advancement of global carbon reduction efforts and the rapid development of battery industries, the scale of spent lithium-ion batteries (LIBs) has increased dramatically. Extracting lithium from spent LIBs to synthesize Li₄SiO₄ sorbents not only addresses the challenge of battery recycling but also reduces the production cost of CO₂ sorbents, making it a research hotspot. However, the CO₂ adsorption behavior of these sorbents under the effect of impurities may differ from the traditional Li₄SiO₄, and there is a lack of systematic research on the adsorption kinetics. To address this issue, two Li₄SiO₄ sorbents are prepared from spent ternary LIBs, and their adsorption kinetics are comprehensively investigated using classical kinetic models. Results show that the reaction order of LSO and Na-LSO is 0.41 and 1.63, respectively, with activation energies of 72.93 kJ/mol and 99.23 kJ/mol in the initial kinetic-controlled stage, and 323.15 kJ/mol and 176.79 kJ/mol in the following diffusion-controlled stage. In the cyclic processes, loss-in-capacity is observed on LSO due to the simultaneous decrease in rate constants in both the kinetic and diffusion-controlled stages, while Na-LSO could almost maintain its capacity by having a much bigger rate constant during the kinetic-controlled stage. This study reveals the adsorption kinetics of Li₄SiO₄ prepared from spent LIBs and could provide theoretical support for the targeted design of efficient and low-cost CO₂ sorbents. Full article

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18 pages, 1869 KiB

Open AccessArticle

Effect of Drying–Rewetting Alternation on Phosphorus Fractions in Restored Wetland

by Mingyue Ren, Yingxin Li, Lixia Wang, Naseer Hussain, Bing Bai, Jie Zhou and Yongxing Ren

Agriculture 2025, 15(16), 1720; https://doi.org/10.3390/agriculture15161720 (registering DOI) - 9 Aug 2025

Abstract

Wetlands frequently experience drying and rewetting (DRW) alternation, which intricately influences the physical, chemical, and biological processes within the soil matrix. The conversion of agricultural land into wetland ecosystems has raised significant concerns regarding the release of phosphorus. However, a significant knowledge gap [...] Read more.

Wetlands frequently experience drying and rewetting (DRW) alternation, which intricately influences the physical, chemical, and biological processes within the soil matrix. The conversion of agricultural land into wetland ecosystems has raised significant concerns regarding the release of phosphorus. However, a significant knowledge gap persists in understanding the implications of this phenomenon for phosphorus transformation and release dynamics within soils situated in the freeze–thaw zone of Northeast China. To address this gap, we conducted a series of experiments involving the simulation of varying intensities and frequencies of DRW alternation using soil column samples collected from restored wetlands. This study evaluated phosphorus fractions with different levels of mobility and availability using methods based on standardized chemical extraction. We subsequently analyzed the impacts of these alterations on phosphorus fractions from the perspectives of soil chemical properties and microbial community changes. DRW events were found to facilitate the conversion of labile inorganic phosphorus into organic phosphorus fractions, driving the transformation of mobile phosphorus into potentially mobile fractions. Moderate drought events showed a significant increase in soil bacterial diversity and abundance, while both normal and extreme drought events caused a decrease in bacterial diversity. Moreover, DRW treatment increased the relative abundance of Proteobacteria and decreased the relative abundance of Chloroflexi. Redundancy analysis identified organic carbon and bacterial diversity as key drivers influencing phosphorus fractions. Overall, this study contributes to our understanding of the intricate relationships among soil characteristics, microbial ecosystems, and the complex behavior of phosphorus under various DRW regimes in restored wetlands. Full article

(This article belongs to the Section Agricultural Soils)

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