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most exciting work published in the various research areas of the journal.
The aim of the experiment was to assess the effects of municipal sewage sludge, mushroom substrate, and hydrogel on the quality of energy grass species and their biomass yield. The experiment was conducted in the climatic conditions of central-eastern Poland between 2020 and
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The aim of the experiment was to assess the effects of municipal sewage sludge, mushroom substrate, and hydrogel on the quality of energy grass species and their biomass yield. The experiment was conducted in the climatic conditions of central-eastern Poland between 2020 and 2022. Two perennial grass species were used: Miscanthus giganteus (giant miscanthus) M 19 and Panicum virgatum L. (rod millet) var. Northwind. Sewage sludge and mushroom substrate doses, each corresponding to 170 kg N·ha−1, were applied in the spring of the first year. The experiment was established on microplots with four replications. Each year, biomass was harvested in January, and the yield of fresh and dry matter was determined. Then plant material was adequately prepared, and the total content of P, Ca, and Mg was measured with the ICP-OES method. The application of hydrogel resulted in a significant increase in the yield of each grass species: giant miscanthus by 11.87% and rod millet by 8.28%. Organic waste applied in combination with hydrogel increased the yield of energy plants and improved their chemical composition.
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The conversion of native forests into agricultural areas without conservation practices can expose tons of soil organic carbon (SOC) to the atmosphere. This study aimed to evaluate the effect of land use and cover (LULC) on C in regions of the Caiabi (SBC)
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The conversion of native forests into agricultural areas without conservation practices can expose tons of soil organic carbon (SOC) to the atmosphere. This study aimed to evaluate the effect of land use and cover (LULC) on C in regions of the Caiabi (SBC) and Renato (SBR) River sub-basins, located in the Brazilian Cerrado–Amazon transition. Data on physical attributes and SOC were obtained by region (upper, middle, and lower), LULC (cropland, pasture, and native forest), and depth (0–10, 10–20, and 20–40 cm), with five replicates for each variable. The highest SOC values were found in areas with higher clay contents or in areas of native forest or crop residues. In the SBC, there was a negative correlation of SOC with sand and particle density (PD) and a positive correlation with silt. In the SBR, there was a positive correlation between SOC and microporosity and total porosity, and a negative correlation with sand, soil bulk density, and PD. The highest SOC values were found in the SBC upper region, in native forest (107 Mg ha−1), cropland (69 Mg ha−1), and pasture (49 Mg ha−1). In the SBR upper region, the values were highest in pasture and cropland (93 and 58 Mg ha−1), and in the lower region, the values were highest in native forest (48 Mg ha−1). SOC varied in relation to the SBC and SBR regions, the LULC, depth, and physical attributes, especially soil texture.
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Low-temperature CO oxidation is crucial for applications like gas purification and exhaust treatment, with ceria-based catalysts being highly promising. However, conventional synthesis methods often require energy-intensive calcination, releasing harmful gaseous contaminants. To address this, we demonstrate a facile and environmentally friendly method for
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Low-temperature CO oxidation is crucial for applications like gas purification and exhaust treatment, with ceria-based catalysts being highly promising. However, conventional synthesis methods often require energy-intensive calcination, releasing harmful gaseous contaminants. To address this, we demonstrate a facile and environmentally friendly method for preparing Ga2O3/CeO2 catalysts by substituting gallium salt solution with liquid gallium, followed by room-temperature ball milling (BM). The resulting 1.5% Ga2O3-CeO2 catalyst, milled at 300 rpm for 60 min, exhibited catalytic activity starting at 100 °C and achieved complete CO conversion at 300 °C. This work presents an economical and sustainable strategy that utilizes liquid metals to prepare high-performance ceria-based catalysts, offering a green alternative to traditional synthesis routes that rely on metal salts and high-temperature treatments.
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Mitral valve prolapse (MVP) is generally associated with excellent long-term outcomes when MR is absent or mild. Nonetheless, a small proportion of patients exhibit a distinct arrhythmogenic susceptibility, characterized by complex ventricular ectopy, sustained ventricular arrhythmias (VAs), and in rare instances, sudden cardiac
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Mitral valve prolapse (MVP) is generally associated with excellent long-term outcomes when MR is absent or mild. Nonetheless, a small proportion of patients exhibit a distinct arrhythmogenic susceptibility, characterized by complex ventricular ectopy, sustained ventricular arrhythmias (VAs), and in rare instances, sudden cardiac death (SCD). This subgroup—collectively referred to as arrhythmic MVP (AMVP)—has prompted renewed attention in identifying individuals at elevated risk. Among the structural alterations associated with MVP, mitral annular disjunction (MAD) has gained recognition as a major contributor to arrhythmic vulnerability, arising from the pathological separation of the posterior annulus from the adjacent ventricular muscle. Advances in multimodality imaging, including trans-thoracic echocardiography (TTE), cardiac magnetic resonance (CMR), and cardiac computed tomography (cCT), have significantly improved delineation of MAD and clarified its relationship to the broader MVP spectrum. Current evidence suggests that MVP, MAD, and AMVP should not be regarded as isolated conditions but as intersecting phenotypes within a shared pathological framework. In certain patients, especially those without established myocardial fibrosis, abnormal annular dynamics appear to constitute the primary arrhythmogenic driver and may diminish after surgical intervention. In others, persistent arrhythmias despite optimal repair reflect a fibrosis-based substrate. This review synthesizes contemporary insights into the anatomical, biomechanical, and electrophysiological interplay linking MVP, MAD, and ventricular arrhythmogenesis, emphasizing implications for imaging-based risk assessment and individualized surgical management strategies.
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The rapid urbanization of Pleiku City, Vietnam, has led to a sharp increase in the demand for and prices of residential land, creating challenges for urban management and land valuation. This study aims to identify and quantify the key factors influencing residential land
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The rapid urbanization of Pleiku City, Vietnam, has led to a sharp increase in the demand for and prices of residential land, creating challenges for urban management and land valuation. This study aims to identify and quantify the key factors influencing residential land prices in Pleiku to provide a scientific basis for land use planning and smart urban development. Data were collected through surveys of 30 state officials involved in land valuation and 250 households living along major streets in Pleiku. Cronbach’s alpha was used to test the reliability of the collected data, and exploratory factor analysis (EFA) was used to identify influencing factor groups. The results show that residential land prices are strongly influenced by multiple factors, with location and infrastructure playing the most decisive roles. Market land prices were found to be approximately 1.5–2 times higher than state-regulated prices. Among the identified factor groups, location and infrastructure had the strongest influence, followed by economic, social, legal, and specific land use factors. Price differences between land plots mainly reflect variations in location, street characteristics, accessibility, and commercial potential. The study concludes that location and infrastructure development are the dominant drivers of residential land prices in Pleiku. These findings have important implications for land valuation, urban planning, and the implementation of smart urban construction policies in rapidly developing cities in Vietnam.
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Objectives: This study aims to explore the facilitators and barriers in the process of using AI agents for disease management in older COPD patients. Methods: Based on the normalization process theory, a descriptive qualitative study was used to conduct semi-structured interviews with 28
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Objectives: This study aims to explore the facilitators and barriers in the process of using AI agents for disease management in older COPD patients. Methods: Based on the normalization process theory, a descriptive qualitative study was used to conduct semi-structured interviews with 28 older patients with COPD recruited from June to August 2025 in a Class A tertiary hospital in Wuxi, Jiangsu Province. Results: A total of 28 interviews were conducted. Four themes (Coherence, Cognitive Participation, Collective Action, Reflexive Monitoring), nine subthemes (recognition of intelligent technology;supported by policy discourse and the background of national-level projects; the creation of a family atmosphere; recommendations from HCPs; relief and social connection; new “doctor”–patient relationship and communication; eliminate the burden and return to life; benefit and value perception; right self-decision by AI) in facilitators and nine subthemes (privacy conflicts and trust deficiency; blurred boundaries of human–machine responsibility and authority; non-high-quality services are chosen reluctantly; technical anxiety; lack of motivation for continued engagement; extra burden; limitations of the physical environment; human–machine dialogue frustration; a sense of uncertainty about the future of AI) in barriers were extracted. Conclusions: This study identified key factors influencing the use of AI agents in chronic disease management in older patients with COPD. The results provide directions for improving the implementation and sustainable use of AI health technologies.
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This work investigates the effect of titanium content and the duration of mechanical alloying on the structural and phase state of powder mixtures in the Ni–Al–Ti system. The initial mixtures of Ni68Al25Ti7, Ni72Al22Ti [...] Read more.
This work investigates the effect of titanium content and the duration of mechanical alloying on the structural and phase state of powder mixtures in the Ni–Al–Ti system. The initial mixtures of Ni68Al25Ti7, Ni72Al22Ti6, Ni70Al21Ti9, and Ni75Al25 were subjected to high-energy milling in a planetary ball mill for 1–6 h. It was found that the addition of titanium accelerates the dissolution of components and promotes the formation of a supersaturated fcc Ni(Al,Ti) solid solution. The most pronounced effects were observed for the Ni70Al21Ti9 composition, where after 6 h of alloying, the minimum crystallite size (11.3 nm) and maximum lattice strain (1.52%) were achieved. It is shown that titanium reduces the tendency for cold welding and promotes more uniform particle refinement. The optimal conditions for synthesizing a nanocrystalline solid solution with a homogeneous structure are a titanium content of 9 at.% and a mechanical alloying duration of 6 h. The resulting powders are promising for subsequent sintering and application in structural and heat-resistant intermetallic alloys and coatings.
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A systematic density functional theory (DFT) and time-dependent DFT (TD-DFT) investigation of aluminum phosphide (AlxPx) nanoparticles with diverse dimensionalities and geometries is presented. Starting from a cubic-like Al4P4 building block, a series of one-dimensional (1D) elongated,
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A systematic density functional theory (DFT) and time-dependent DFT (TD-DFT) investigation of aluminum phosphide (AlxPx) nanoparticles with diverse dimensionalities and geometries is presented. Starting from a cubic-like Al4P4 building block, a series of one-dimensional (1D) elongated, two-dimensional (2D) exotic, and extended sheet-like nanostructures was constructed, enabling a unified structure–property analysis across size and topology. Optical absorption and infrared (IR) vibrational spectra were computed and correlated with geometric motifs, revealing pronounced shape-dependent tunability. Compact and highly interconnected 2D architectures exhibit red-shifted absorption and enhanced vibrational polarizability, whereas elongated or low-connectivity motifs lead to blue-shifted optical responses and stiffer vibrational frameworks. Benchmark comparisons indicate that CAM-B3LYP excitation energies closely reproduce reference EOM-CCSD trends for the lowest singlet states. Binding energy and HOMO-UMO gap analyses confirm increasing thermodynamic stability with size and dimensionality, alongside topology-driven electronic modulation. These findings establish AlP nanostructures as highly tunable platforms for optoelectronic and vibrationally active applications.
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Thamnaconus septentrionalis is an emerging commercially important aquaculture species in China, distributed extensively in the Indo-West Pacific Ocean. Recently, because of the seriously declining population and considerable economic potential of this aquaculture fish, increasing attention has been paid to the conservation and development
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Thamnaconus septentrionalis is an emerging commercially important aquaculture species in China, distributed extensively in the Indo-West Pacific Ocean. Recently, because of the seriously declining population and considerable economic potential of this aquaculture fish, increasing attention has been paid to the conservation and development of T. septentrionalis. Artificial fish breeding is essential and has become progressively implemented on local farms in China, which benefits the protection of T. septentrionalis resources and facilitates the development of its fishery industry. Previous studies have demonstrated that temperature could significantly influence ovary development in T. septentrionalis. However, the potential molecular mechanisms underlying the influence of temperature on testis development in T. septentrionalis have been scarcely studied. Thus, this study comprehensively explores the effects of temperature on testis development in T. septentrionalis using histological observation and transcriptomic techniques. Histological and transmission electron microscopy analyses indicated that T. septentrionalis testes, undergoing a rise in temperature, developed from phase III to IV. Transcriptomic analysis identified 315 differentially expressed genes, including 200 upregulated and 115 downregulated genes. Moreover, rising temperatures may enhance testis development by regulating steroid hormone biosynthesis, cellular senescence, and nucleotide metabolism. The upregulation of four genes (hsd11b2, cyp11b, cyp11a, and hsd17b3) involved in the steroid hormone biosynthesis process may significantly contribute to the increased level of testosterone and 11-keto-testosterone. This study is the first to elucidate the potential molecular mechanism involved in T. septentrionalis testis development induced by temperature, offering valuable and novel insights for its artificial breeding and fishery resources conservation.
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To address the urgent need for high-fidelity motion data for validating navigation algorithms for Unmanned Underwater Vehicles (UUVs), this paper proposes a data generation method based on a parametric motion model. First, based on the principles of rigid body dynamics and fluid mechanics,
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To address the urgent need for high-fidelity motion data for validating navigation algorithms for Unmanned Underwater Vehicles (UUVs), this paper proposes a data generation method based on a parametric motion model. First, based on the principles of rigid body dynamics and fluid mechanics, a decoupled six-degrees-of-freedom (6-DOF) Linear and Angular Acceleration Vector (LAAV) model is constructed, establishing a dynamic mapping relationship between the rudder angle and speed setting commands and motion acceleration. Second, a segmentation–identification framework is proposed for three-dimensional trajectory segmentation, integrating Gaussian Process Regression and Ordering Points To Identify the Clustering Structure (GPR-OPTICS), along with a Dynamic Immune Genetic Algorithm (DIGA). This framework utilizes real vessel data to achieve motion segment clustering and parameter identification, completing the construction of the LAAV model. On this basis, by introducing sensor error models, highly credible Inertial Measurement Unit (IMU) data are generated, and a complete attitude, velocity, and position (AVP) motion sequence is obtained through an inertial navigation solution. Experiments demonstrate that the AVP data generated by our method achieve over 88% reliability compared with the real vessel dataset. Furthermore, the proposed method outperforms the PSINS toolbox in both the reliability and accuracy of all motion parameters. These results validate the effectiveness and superiority of our proposed method, which provides a high-fidelity data benchmark for research on underwater navigation algorithms.
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The development of coal resources has created a large number of underground mined-out spaces, which can be utilized for cross-seasonal thermal storage through underground reservoirs to achieve seasonal heat storage. However, there is currently limited research on the cross-seasonal thermal storage capabilities and
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The development of coal resources has created a large number of underground mined-out spaces, which can be utilized for cross-seasonal thermal storage through underground reservoirs to achieve seasonal heat storage. However, there is currently limited research on the cross-seasonal thermal storage capabilities and thermal storage performance evaluation of coal mine underground reservoirs. This study aims to evaluate the operational stability and long-term performance of a Coal Mine Underground Reservoir Energy Storage System (CMUR-ESS) under realistic geological conditions of the Shendong Coalfield. A multi-physics coupling model, integrating thermal-fluid processes, was developed based on the actual structure of the No. 5-2 coal seam goaf in the Dalinta Mine. Numerical simulations were conducted over five annual cycles, each comprising injection, storage, production, and transition stages. Results demonstrate that the system achieves progressive thermal accumulation, with the volume fraction of water above 70 °C increasing from 75.0% in the first cycle to 88.9% by the fifth cycle at the end of the storage stage. Production temperatures also improved, with peak and final temperatures rising by 6.2% and 6.8%, respectively, after five cycles. The analysis confirms enhanced heat retention and reduced thermal loss over time, indicating robust long-term stability and sustainability of the CMUR-ESS for seasonal energy storage applications. The results of this study can provide a reference for the design and evaluation of CMUR-ESS.
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Topology optimization is a powerful and efficient design tool, but the structures obtained by element-based topology optimization methods are often limited by fuzzy or jagged boundaries. The smooth-edged material distribution for optimizing topology algorithm (SEMDOT) can effectively deal with this problem and promote
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Topology optimization is a powerful and efficient design tool, but the structures obtained by element-based topology optimization methods are often limited by fuzzy or jagged boundaries. The smooth-edged material distribution for optimizing topology algorithm (SEMDOT) can effectively deal with this problem and promote the practical application of topology optimization structures. This review outlines the theoretical evolution of SEMDOT, including both penalty-based and non-penalty-based formulations, while also providing access to open access codes. SEMDOT’s applications cover diverse areas, including self-supporting structures, energy-efficient manufacturing, bone tissue scaffolds, heat transfer systems, and building parts, demonstrating the versatility of SEMDOT. While SEMDOT addresses boundary issues in topology optimization structures, further theoretical refinement is needed to develop it into a comprehensive platform. This work consolidates the advances in SEMDOT, highlights its interdisciplinary impact, and identifies future research and implementation directions.
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Breastfeeding is universally regarded as the cornerstone of infant feeding, as it is the ideal infant feeding choice for optimal nutrition and development. Socio-structural factors of breastfeeding in child health play an important role in guiding women’s decisions on options to feed their
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Breastfeeding is universally regarded as the cornerstone of infant feeding, as it is the ideal infant feeding choice for optimal nutrition and development. Socio-structural factors of breastfeeding in child health play an important role in guiding women’s decisions on options to feed their babies. A cross-sectional study was conducted among mothers with infants aged 0–6 months in Mthatha, Eastern Cape, with the aim of assessing the role of socio-structural factors in shaping feeding intentions and practices among mothers with infants. Written Informed consent was obtained in accordance with the Declaration of Helsinki from the participants prior to data collection. Data was gathered with a validated designed questionnaire as well as analyzed using Social Sciences (SPSS) version 29. A total of 181 mothers were enrolled. Only 45.9% reported that they exclusively breastfed their babies, of which the highest proportion of exclusive breastfeeding (EBF) was observed among the 21–29 age group at 51.8%, and the lowest among those aged 20 years and below (3.6%). Marital status (p = 0.005) and employment status (p < 0.001) were significantly associated with exclusive breastfeeding, with higher EBF rates observed among married mothers and those who were self-employed. Both the EBF mothers and non-EBF mothers shared a common belief that colostrum was not beneficial for infants (p = 0.854), whereas their views differed significantly on the amount of water given to infants before they reached six months (p = 0.001). There was no significant relationship between EBF status and having a family member who had breastfed in the past six months (p = 0.815); also, a weak association was noted for having a friend who had breastfed recently (p = 0.057). The difference in EBF practice between those receiving antenatal care (ANC) breastfeeding education and those not receiving it was not statistically significant (p = 0.591). A statistically significant association was found between the support level and exclusive breastfeeding status (p < 0.001). This study highlights that the successful practice of exclusive breastfeeding (EBF) is strongly associated with high levels of social support. Interventions are needed to engage active partners, family members, and community members in creating a supportive environment for breastfeeding mothers.
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Sustaining agricultural productivity and soil health under intensive cultivation requires a comprehensive understanding of fertilization effects, particularly on deeper soil layers, which has received limited attention compared to surface soils. This study investigated how different fertilization regimes (inorganic, organic, and combined organic–inorganic fertilizers)
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Sustaining agricultural productivity and soil health under intensive cultivation requires a comprehensive understanding of fertilization effects, particularly on deeper soil layers, which has received limited attention compared to surface soils. This study investigated how different fertilization regimes (inorganic, organic, and combined organic–inorganic fertilizers) influence soil physicochemical properties, microbial diversity, community structure, and functional gene abundances at three soil depths (0–20 cm, 20–40 cm, and 40–60 cm) in a 40-year fertilization experiment. Organic fertilization significantly improved topsoil fertility indicators such as soil organic matter (56.6–109.2%), total nitrogen (66.7–122.0%), total phosphorus (198.6–413.2%), and available phosphorus (984.8–1622.1%) and potassium (35.3–438.1%). Compared with the unfertilized control and nitrogen-only treatment, rice yield increased by 97.1–130.5% under NPK and sole organic fertilization, and further increased by 184.1–255.9% under combined organic–inorganic fertilization. However, fertilization effects diminished with soil depth due to limited nutrient mobility. Microbial diversity significantly decreased with depth and was minimally influenced by fertilization treatments. Microbial community structure varied notably among fertilization treatments at the surface layer, mainly driven by soil nutrients, whereas soil depth had a dominant effect on microbial community structure and compositions. Co-occurrence networks showed the highest complexity in surface soil microbial communities, which declined with soil depth, reflecting potential synergistic and mutualistic relationships in topsoil and the adaptation of microbial communities to nutrient-limited conditions in subsoil. Microbial functional gene analyses highlighted clear depth-dependent distributions, with surface layers enriched in decomposition-related genes, while deeper layers favored anaerobic processes. Overall, long-term fertilization exerted strong depth-dependent effects on soil fertility, microbial community structure, and functional potential in paddy soils.
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A biomimetic cartilage scaffold featuring a continuous hydroxyapatite (HA) concentration gradient and a spatially curved architecture was developed using a dual-channel mixing extrusion-based 3D printing approach. By dynamically regulating the feeding rates of two bioinks during printing, a continuous HA gradient decreasing from
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A biomimetic cartilage scaffold featuring a continuous hydroxyapatite (HA) concentration gradient and a spatially curved architecture was developed using a dual-channel mixing extrusion-based 3D printing approach. By dynamically regulating the feeding rates of two bioinks during printing, a continuous HA gradient decreasing from the bottom to the top of the scaffold was precisely achieved, mimicking the compositional transition from the calcified to the non-calcified cartilage region in native articular cartilage. The integration of gradient material deposition with synchronized multi-axis motion enabled accurate fabrication of curved geometries with high structural fidelity. The printed scaffolds exhibited stable swelling and degradation behavior and showed improved compressive performance compared with step-gradient counterparts. Rheological analysis confirmed that the bioinks possessed suitable shear-thinning and recovery properties, ensuring printability and shape stability during extrusion. In vitro evaluations demonstrated good cytocompatibility, supporting bone marrow mesenchymal stem cell (BMSC) adhesion and proliferation. Chondrogenic assessment based on scaffold extracts indicated that the incorporation of HA and its gradient distribution did not inhibit cartilage-related extracellular matrix synthesis, confirming the biosafety of the composite hydrogel system. Overall, this study presents a controllable and versatile fabrication strategy for constructing curved, compositionally graded cartilage scaffolds, providing a promising platform for the development of biomimetic cartilage tissue engineering constructs.
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HiRo-SLAM is a visual-inertial SLAM system developed to achieve high accuracy and enhanced robustness. To address critical limitations of conventional methods, including systematic biases from imperfect camera models, uneven spatial feature distribution, and the impact of outliers, we propose a unified optimization framework
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HiRo-SLAM is a visual-inertial SLAM system developed to achieve high accuracy and enhanced robustness. To address critical limitations of conventional methods, including systematic biases from imperfect camera models, uneven spatial feature distribution, and the impact of outliers, we propose a unified optimization framework that integrates four key innovations. First, Precise Camera Projection Modeling (PCPM) embeds a fully differentiable camera model in nonlinear optimization, ensuring accurate handling of camera intrinsics and distortion to prevent error accumulation. Second, Visibility Pyramid-based Adaptive Non-Maximum Suppression (P-ANMS) quantifies feature point contribution through a multi-scale pyramid, providing uniform visual constraints in weakly textured or repetitive regions. Third, Robust Optimization Using Graduated Non-Convexity (GNC) suppresses outliers through dynamic weighting, preventing convergence to local minima. Finally, the Point-Line Feature Fusion Frontend combines XFeat point features with SOLD2 line features, leveraging multiple geometric primitives to improve perception in challenging environments, such as those with weak textures or repetitive structures. Comprehensive evaluations on the EuRoC MAV, TUM-VI, and OIVIO benchmarks show that HiRo-SLAM outperforms state-of-the-art visual-inertial SLAM methods. On the EuRoC MAV dataset, HiRo-SLAM achieves a 30.0% reduction in absolute trajectory error compared to strong baselines and attains millimeter-level accuracy on specific sequences under controlled conditions. However, while HiRo-SLAM demonstrates state-of-the-art performance in scenarios with moderate texture and minimal motion blur, its effectiveness may be reduced in highly dynamic environments with severe motion blur or extreme lighting conditions.
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Background/Objectives: Physical activity benefits women with metastatic breast cancer. Past trials are typically well-resourced and supervised, but home-based interventions may be preferable and more accessible. This pilot trial evaluated the feasibility and preliminary efficacy of a remotely delivered behaviour change intervention aiming to
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Background/Objectives: Physical activity benefits women with metastatic breast cancer. Past trials are typically well-resourced and supervised, but home-based interventions may be preferable and more accessible. This pilot trial evaluated the feasibility and preliminary efficacy of a remotely delivered behaviour change intervention aiming to increase physical activity for women with metastatic breast cancer. Methods: A 12-week, two-arm trial involved 20 women with metastatic breast cancer randomised 1:1 to a generic recommendation group or behaviour change group. Both groups received a physical activity recommendation, Fitbit® watch, diary, and nine phone/video call sessions. The behaviour change group received individualised advice around physical activity benefits, motivation, barriers, and social support; the generic recommendation group completed a recurring symptom questionnaire. Feasibility outcomes were recruitment, retention and adherence rates. Acceptability was evaluated with a structured interview at trial completion. Preliminary efficacy outcomes included 5-day Actigraph wear, 6 min walk distance, 30 s sit-to-stands, and questionnaires for self-reported physical activity, quality-of-life, fatigue, behavioural factors, and patient-specific function. Results: Recruitment, retention, and adherence rates were 63% (n = 20/32), 80% (n = 16/20), and 76% (137/180 sessions), respectively. Participants across both groups reported that participation was acceptable, and their behaviour change was perceived as sustainable. Preliminary change scores for efficacy measures favoured the behaviour change group, except some quality-of-life and behavioural factor subscales. Conclusions: Participants were receptive to the trial, and feasibility and efficacy measures were positive. This indicates that a behaviour change intervention for unsupervised physical activity is acceptable and can be beneficial to women with metastatic breast cancer, warranting further exploration.
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Berberine (BBR), an isoquinoline alkaloid, has a long history of clinical use in treating dysentery. However, its precise mechanism has not been fully elucidated. This study aimed to investigate the intestinal protective mechanisms of BBR against Shigella flexneri (S. flexneri)-induced dysentery
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Berberine (BBR), an isoquinoline alkaloid, has a long history of clinical use in treating dysentery. However, its precise mechanism has not been fully elucidated. This study aimed to investigate the intestinal protective mechanisms of BBR against Shigella flexneri (S. flexneri)-induced dysentery in mice. We found that BBR significantly upregulated the intestinal barrier proteins ZO-1, occludin, and E-cadherin, enhancing intestinal mucosal integrity to inhibit S. flexneri invasion. Moreover, BBR effectively attenuated M1 macrophage polarization and restored the Th1/Th17/Treg balance to reduce inflammatory injury upon S. flexneri infection. Specifically, BBR reduced both the populations of Th1 and Th17 cells and their production of inflammatory cytokines IFN-γ and IL-17A. Concurrently, it enhanced Treg cell populations and the secretion of anti-inflammatory cytokines IL-10 and TGF-β1. Additionally, the intestinal protective effect of BBR was further augmented by an increase in secretory IgA (sIgA). Collectively, our findings demonstrate that BBR protects against S. flexneri-induced dysentery by enhancing the intestinal barrier and inflammatory responses, providing support for its clinical use.
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The integration of biomethane into the natural gas infrastructure is a critical element of energy-sector decarbonization, yet optimal infrastructure development scenarios remain insufficiently compared using unified decision frameworks. This study evaluates three biomethane market integration scenarios—direct connection to the gas system, biomethane injection
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The integration of biomethane into the natural gas infrastructure is a critical element of energy-sector decarbonization, yet optimal infrastructure development scenarios remain insufficiently compared using unified decision frameworks. This study evaluates three biomethane market integration scenarios—direct connection to the gas system, biomethane injection points (compressed biomethane transported by trucks to the gas system), and off-grid delivery using the multi-criteria decision-making method TOPSIS. Environmental, economic, and technical dimensions are jointly assessed. Results indicate that direct connection to the system provides the most balanced overall performance, achieving the highest integrated score (Ci = 0.70), driven by superior environmental and technical characteristics. Biomethane injection points demonstrate strong economic advantages (Ci = 0.49), particularly where capital investments need to be reduced or there is limited access to the gas system, but show weaker environmental and technical performance. Off-grid solutions perform poorly in integrated assessment (Ci = 0.00), reflecting limited scalability and high logistical complexity, although niche applications may remain viable under specific conditions. Sensitivity analysis confirms the robustness of these rankings across a wide range of weighting assumptions, strengthening the reliability of the findings for policy and infrastructure planning. This study provides one of the first integrated multi-criteria assessments explicitly incorporating virtual pipeline logistics, offering a transferable decision-support framework for sustainable biomethane development in diverse regional contexts.
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Precise 3D perception is critical for indoor robotics, augmented reality, and autonomous navigation. However, existing multi-frame depth estimation methods often suffer from significant performance degradation in challenging indoor scenarios characterized by weak textures, non-Lambertian surfaces, and complex layouts. To address these limitations, we
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Precise 3D perception is critical for indoor robotics, augmented reality, and autonomous navigation. However, existing multi-frame depth estimation methods often suffer from significant performance degradation in challenging indoor scenarios characterized by weak textures, non-Lambertian surfaces, and complex layouts. To address these limitations, we propose MonoPrior-Fusion (MPF), a novel framework that integrates pixel-wise monocular priors directly into the multi-view matching process. Specifically, MPF modulates cost-volume hypotheses to disambiguate matches and employs a hierarchical fusion architecture across multiple scales to propagate global and local geometric information. Additionally, a geometric consistency loss based on virtual planes is introduced to enhance global 3D coherence. Extensive experiments on ScanNetV2, 7Scenes, TUM RGB-D, and GMU Kitchens demonstrate that MPF achieves significant improvements over state-of-the-art multi-frame baselines and generalizes well across unseen domains. Furthermore, MPF yields more accurate and complete 3D reconstructions when integrated into a volumetric fusion pipeline, proving its effectiveness for dense mapping tasks. The source code will be made publicly available to support reproducibility and future research.
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Understanding patterns and mechanisms of species diversity is one fundamental issue in biogeography and ecology. As a critical region for biodiversity, the Qinghai-Xizang Plateau (QXP) still has unclear distribution patterns and drivers for cryptic, understudied taxa such as Curculionoidea. Here, we collected the
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Understanding patterns and mechanisms of species diversity is one fundamental issue in biogeography and ecology. As a critical region for biodiversity, the Qinghai-Xizang Plateau (QXP) still has unclear distribution patterns and drivers for cryptic, understudied taxa such as Curculionoidea. Here, we collected the distribution data of Curculionoidea on the QXP to analyze their diversity patterns and influencing factors, and compiled a DNA barcode dataset to uncover cryptic diversity. This comprehensive dataset encompasses 671 Curculionoidea species across 223 genera, demonstrating a level of diversity that surpasses that of certain vertebrate groups. We also observed an unbalanced biogeographic pattern of diversity, with a concentration of species in the eastern and southern regions and a scarcity in the northern and central areas of QXP. Further analysis showed that the elevation range is the most important factor influencing the diversity of Curculionoidea. In addition, based on 1147 COI-5′ barcode sequences from 217 species, we found that 11 morphological species may contain cryptic species based on DNA barcode datadset. Our findings significantly enhance the current understanding of cryptic biodiversity patterns among understudied taxa in the QXP, while simultaneously highlighting persistent knowledge gaps in characterizing the plateau’s full ecological complexity.
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This study investigates the phytochemical profile, antioxidant capacity, and antimicrobial potential of Crocus sativus L. (saffron) tepal extracts obtained via different solvent systems. Here, a biochemical screening was performed using spectrophotometry and HPLC-DAD, while molecular docking simulations were carried out to evaluate the
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This study investigates the phytochemical profile, antioxidant capacity, and antimicrobial potential of Crocus sativus L. (saffron) tepal extracts obtained via different solvent systems. Here, a biochemical screening was performed using spectrophotometry and HPLC-DAD, while molecular docking simulations were carried out to evaluate the possible interactions between saffron tepal metabolites and bacterial target proteins. In parallel, antioxidant activity was assessed using radical scavenging assays, whereas antimicrobial potential (i.e., MIC, MBC, and MFC) was tested against selected bacterial strains. Results indicated that aqueous successive and crude extracts yielded the highest concentrations of polyphenols, flavonoids, and condensed tannins. In detail, HPLC-DAD analysis specifically identified significant levels of gallic acid, epicatechin, and various anthocyanins. These extracts demonstrated robust antioxidant and antimicrobial activities. This latter evidence was corroborated by the docking analyses, which revealed that chlorogenic acid and petunidin-3-glucoside exhibited high binding affinities for 2NRK and 2NZF, whereas epicatechin and pelargonidin effectively targeted 8ACR. These findings underscore the therapeutic potential of C. sativus tepals as natural bioactive agents, suggesting a promising role in overcoming antibiotic resistance and supporting their development for pharmaceutical applications.
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Background: Nuclear protein in testis (NUT) carcinoma is a rare, aggressive, and poorly differentiated epithelial malignancy characterized by the rearrangement of NUTM1 (NUT midline carcinoma family member 1) on 15q14. It primarily originates along the midline structures, including the head, neck, thorax,
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Background: Nuclear protein in testis (NUT) carcinoma is a rare, aggressive, and poorly differentiated epithelial malignancy characterized by the rearrangement of NUTM1 (NUT midline carcinoma family member 1) on 15q14. It primarily originates along the midline structures, including the head, neck, thorax, and mediastinum. Although NUT carcinoma of the pelvic gynecological organs is exceedingly rare, reported cases have been limited to primary or metastatic ovarian tumors. Here, we present the first documented case of primary uterine NUT carcinoma. Case presentation: A 53-year-old postmenopausal woman presented with abnormal uterine bleeding and a uterine mass. She underwent a total abdominal hysterectomy with bilateral salpingo-oophorectomy. The initial postoperative histopathological evaluation suggested undifferentiated endometrial sarcoma; however, subsequent immunohistochemical (IHC) analysis and fluorescence in situ hybridization revealed NUTM1 rearrangement, confirming the diagnosis of NUT carcinoma. The patient experienced tumor recurrence six months postoperatively and succumbed to the disease nine months later. Discussion: The pathological diagnosis was challenging; the presence of abrupt squamous differentiation prompted further IHC analysis, leading to the definitive diagnosis. Primary uterine NUT carcinoma may be misdiagnosed as other undifferentiated uterine tumors due to its rarity and histological overlap. Conclusions: Given the diagnostic challenges, NUT IHC staining and molecular testing for NUTM1 rearrangement should be considered in undifferentiated uterine tumors with ambiguous histopathological features.
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Jacob Raber, Abigail O’Niel, Kristin D. Kasschau, Alexandra Pederson, Naomi Robinson, Carolyn Guidarelli, Christopher Chalmers, Kerri Winters-Stone and Thomas J. Sharpton
Microorganisms2026, 14(1), 251; https://doi.org/10.3390/microorganisms14010251 (registering DOI) - 21 Jan 2026
The gut microbiome is a modifiable factor in cancer survivorship. Diet represents the most practical intervention for modulating the gut microbiome. However, diet–microbiome relationships in prostate-cancer survivors remain poorly characterized. We conducted a comprehensive analysis of diet–microbiome associations in 79 prostate-cancer survivors (ages
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The gut microbiome is a modifiable factor in cancer survivorship. Diet represents the most practical intervention for modulating the gut microbiome. However, diet–microbiome relationships in prostate-cancer survivors remain poorly characterized. We conducted a comprehensive analysis of diet–microbiome associations in 79 prostate-cancer survivors (ages 62–81) enrolled in a randomized exercise intervention trial, 59.5% of whom still have active metastatic disease. Dietary intake was assessed using the Diet History Questionnaire (201 variables) and analyzed using three validated dietary pattern scores: Mediterranean Diet Adherence Score (MEDAS), Healthy Eating Index-2015 (HEI-2015), and the Mediterranean-Dash Intervention for Neurodegenerative Delay (MIND) diet score. Gut microbiome composition was characterized via 16S rRNA sequencing. Dimensionality reduction strategies, including theory-driven diet scores and data-driven machine learning (Random Forest, and Least Absolute Shrinkage and Selection Operator (LASSO)), were used. Statistical analyses included beta regression for alpha diversity, Permutational Multivariate Analysis of Variance (PERMANOVA) for beta diversity (both Bray–Curtis and Sørensen metrics), and Microbiome Multivariable Associations with Linear Models (MaAsLin2) with negative binomial regression for taxa-level associations. All models tested interactions with exercise intervention, APOLIPOPROTEIN E (APOE) genotype, and testosterone levels. There was an interaction between MEDAS and exercise type on gut alpha diversity (Shannon: p = 0.0022), with stronger diet–diversity associations in strength training and Tai Chi groups than flexibility controls. All three diet-quality scores predicted beta diversity (HEI p = 0.002; MIND p = 0.025; MEDAS p = 0.034) but not Bray–Curtis (abundance-weighted) distance, suggesting diet shapes community membership rather than relative abundances. Taxa-level analysis revealed 129 genera with diet associations or diet × host factor interactions. Among 297 dietary variables tested for cognitive outcomes, only caffeine significantly predicted Montreal Cognitive Assessment (MoCA) scores after False Discovery Rate (FDR) correction (p = 0.0009, q = 0.014) through direct pathways beneficial to cognitive performance without notable gut microbiome modulation. In cancer survivors, dietary recommendations should be tailored to exercise habits, genetic background, and hormonal status.
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Emilly Silva, Luísa Cruz-Lopes, Idalina Domingos, Fabricio Gonçalves, Bruna da Silva Cruz, Michelângelo Fassarela, Antônio Thiago de Almeida and Bruno Esteves
Materials2026, 19(2), 417; https://doi.org/10.3390/ma19020417 (registering DOI) - 21 Jan 2026
Biomass liquefaction is a thermochemical process that converts lignocellulosic materials into reactive liquid intermediates, enabling the production of bio-based polyols as a sustainable alternative to petroleum-derived chemicals. This study investigates the liquefaction of two lignocellulosic biomasses, Red Angico (Anadenanthera colubrina) and
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Biomass liquefaction is a thermochemical process that converts lignocellulosic materials into reactive liquid intermediates, enabling the production of bio-based polyols as a sustainable alternative to petroleum-derived chemicals. This study investigates the liquefaction of two lignocellulosic biomasses, Red Angico (Anadenanthera colubrina) and Mahogany (Swietenia macrophylla), using a glycerol–ethylene glycol polyalcohol system, chosen for its renewable origin and high solvating efficiency. The resulting polyols were used to produce polyurethane (PU) foams, and their properties were evaluated in relation to biomass composition. The chemical composition of each biomass significantly influenced its liquefaction behavior and polyol characteristics. Mahogany achieved higher liquefaction efficiency, whereas Red Angico polyols generated PU foams with superior mechanical performance, highlighting the influence of species-specific chemistry. Water content and isocyanate index were found to modulate foam structure and compressive strength. This work demonstrates how tailored liquefaction strategies using polyalcohol systems can optimize bio-based PU foam properties, providing a sustainable route for high-performance polymer materials.
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Local governance has been found to be an important determinant of individuals’ subjective well-being (SWB) in cross-municipality studies in Europe and Asia. In addition, previous literature suggests that increasing access to determinants of SWB provides lesser SWB benefit to racial minorities compared to
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Local governance has been found to be an important determinant of individuals’ subjective well-being (SWB) in cross-municipality studies in Europe and Asia. In addition, previous literature suggests that increasing access to determinants of SWB provides lesser SWB benefit to racial minorities compared to white people in the United States (U.S.). Given this context, we ask the following: (1) does good local governance improve SWB in the U.S.? and (2) does good local governance improve SWB for Black and Hispanic people equally compared to white people? To answer these questions, we examine Chicago, Illinois, the third-largest city in the U.S. with substantial Black and Hispanic populations. We model local governance, our independent variable, as the number of weeks for the municipality to respond to pothole service requests reported to the city’s non-emergency services system. Our dependent variable was life satisfaction, measured by the Cantril Ladder. Covariates included self-reported health problems, lack of money for food, sex, age, age-squared, and marital status. Neighborhood race/ethnicity was tested as a moderator of the primary relationships. We estimated linear regression models with and without race × governance interactions. Our findings demonstrate that local governance is an important determinant of SWB, but that it benefits SWB in white neighborhoods more than in Black/Hispanic neighborhoods.
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