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    • Article
    • Open Access

    Producing high-density rice straw bales requires a model that captures the anisotropic deformation and breakage of fresh straw during compression. We therefore developed and calibrated a spherocylinder-based discrete element model for rice straw baling. The model represents hollow elliptical cross-sections, distinct stem and node structures, and anisotropic bonding, and its mechanical and breakage responses were evaluated before its application to compression baling device optimization. Calibration via single-factor, Plackett–Burman, steepest ascent, and Box–Behnken experiments using the angle of repose as the target identifies three key parameters: straw–straw rolling friction (0.593), straw–steel rolling friction (0.188), and node Poisson’s ratio (0.411). The calibrated model reproduced the measured angle of repose with a relative difference of 0.39% and reproduced the compression and shear responses within 10% error. Compared with a multi-sphere model, the spherocylinder model reduces the particle count by 90.25%, simulation time by 72.52%, and memory usage by 89.83%. Adams–EDEM co-simulation reproduced the progressive deformation and localized breakage observed during baling, without excessive pulverization. Simulations across different tapered opening angles identified a balanced density–torque configuration, which was validated by field trials with a relative density error of 1.23%. These results demonstrate the model’s accuracy, efficiency, and practicality for simulating rice straw in compression molding machinery.

    Agriculture

    9 November 2026

    • Review
    • Open Access

    Microalgal Fucoxanthin in Environmental Medicine: Sustainable Bioproduction, Bioavailability Enhancement, and Translational Health Applications

    • Claudio Guajardo-Barbosa,
    • Yadira Quiñones-Gutiérrez and
    • Julio César Beltrán-Rocha
    • + 2 authors

    Microalgal fucoxanthin is a marine xanthophyll relevant to environmental medicine because it links sustainable resource recovery with prevention-oriented research on environmentally driven metabolic disorders. Methods: This critical narrative review synthesizes recent peer-reviewed studies, related reviews, and regulatory documents on fucoxanthin chemistry, microalgal sources, cultivation, downstream processing, bioavailability enhancement, safety, and translational evidence. Findings: Diatoms and haptophytes, including Phaeodactylum tricornutum, Tisochrysis lutea, Isochrysis galbana, Nitzschia laevis, Cyclotella meneghiniana, and Conticribra weissflogii, are candidate production platforms, while Poterioochromonas malhamensis currently lacks the safety and regulatory evidence required for food use. Evidence for metabolic dysfunction-associated steatotic liver disease (MASLD), obesity, diabetes, inflammation, lipid metabolism, microbiota modulation, and chemoprevention remains predominantly preclinical or is derived from macroalgal or combined marine formulations. No randomized clinical trial evaluating a standardized microalgal fucoxanthin formulation with pharmacokinetic characterization was identified in the literature reviewed. Wastewater-derived biomass faces a strict regulatory barrier to oral human use and is currently best suited to environmental and agricultural applications unless contaminant clearance and product-specific safety are demonstrated. Conclusions: Bioavailability is constrained by instability, poor aqueous dispersibility, intestinal de-esterification to fucoxanthinol, and hepatic oxidation to amarouciaxanthin A, but encapsulation and lipid-matrix systems are promising. Translation requires authenticated strains, human-grade cultivation, validated processing, product-specific toxicology, regulatory dossiers, and controlled clinical studies.

    Int. J. Environ. Med.

    9 November 2026

    • Article
    • Open Access

    This study evaluated the distribution and potential ecological risk of mercury in sediments from the Recuerdo Marsh, located in the Atrato River basin (Chocó, Colombia), and explored the potential of sawdust biochar for mercury removal from water. Surface sediments, a sediment core, and water samples were collected and analyzed for total mercury (THg) using thermal decomposition atomic absorption spectrometry. Potential ecological risk was assessed through contamination factor (CF), geoaccumulation index (Igeo), and potential ecological risk index (PERI). In parallel, sawdust biochar was characterized using BET surface area analysis, SEM-EDS, XRD, and FTIR spectroscopy; and its Hg adsorption capacity was assessed. THg concentrations in surface sediments ranged from 50.3 to 367 µg kg−1, with an average of 129.9 ± 97.1 µg kg−1, while ecological risk indices revealed moderate to considerable potential ecological risk. The biochar exhibited a high specific surface area (477 m2 g−1) and achieved up to 88.7% removal of Hg2+ from aqueous solutions within only 15 min. These results suggest that the wetlands of the Atrato basin act as sinks for mercury contamination and highlight the potential of a locally derived sawdust biochar as a low-cost and sustainable strategy for mercury removal and water treatment for local communities.

    Pollutants

    9 November 2026

    • Article
    • Open Access

    Background/Objectives: This study characterized an ethanol-eluted, semi-purified fraction (F4) from Myrtus communis L. leaves and compared its anti-inflammatory activity in free and nanoemulsified forms. Methods: F4 was obtained by C8 fractionation, examined by colorimetric assays, targeted LC–MS (SIM) and COX-2 docking, and incorporated into an oil-in-water nanoemulsion. Oral activity at 200 and 400 mg/kg was assessed in male Wistar rats with carrageenan-induced paw edema (seven groups; n = 6/group). The primary endpoint was the individual area under the curve (AUC) of edema over 1–5 h. Results: Targeted LC–MS tentatively annotated ten compounds. The total phenolic content of F4 was 186.75 ± 0.43 mg GAE/g, and apigenin had the most favorable predicted COX-2 docking score (−8.1 kcal/mol). The nanoemulsion measured 119.07 ± 16.28 nm on day 0 and showed no phase separation under stress tests. Free F4 and F4 nanoemulsion (F4 NE) reduced AUC versus the inflamed control, and F4 NE reduced AUC versus the blank nanoemulsion (Holm-adjusted p < 0.0001). Compared with free F4, nanoemulsification decreased mean AUC by 37.7% and 42.9% at 200 and 400 mg/kg (Holm-adjusted p = 0.0362 for both comparisons). After baseline adjustment, the difference persisted at 400 mg/kg (−2.94 mL·h; 95% CI −5.16 to −0.72; Holm-adjusted p = 0.0304) but not at 200 mg/kg (−1.61 mL·h; 95% CI −4.27 to 1.06; Holm-adjusted p = 0.2053). Conclusions: Orally administered F4 had anti-inflammatory activity, and nanoemulsification produced improved anti-inflammatory efficacy under the tested conditions, as shown by the lower cumulative edema. Bioavailability was not assessed; pharmacokinetic studies are needed to determine whether it underlies this effect.

    Pharmaceuticals

    9 November 2026

    • Article
    • Open Access

    Fiber Bragg Grating (FBG) sensors are widely used to measure pressure and temperature. However, when both are subjected to a coupled environment, the Bragg wavelengths influence each other, causing biased measurements if not properly calibrated. Most calibration models assume linear sensitivity, which may not hold across the entire operating range. This study proposes a five-step statistical calibration framework for a single FBG sensor under coupled pressure–temperature conditions: data preparation; fitting linear, quadratic, and cubic models; model selection using AIC/BIC; local sensitivity calculation; and contribution decomposition via Response Surface Methodology (RSM). The framework was tested on experimental data from an FBG sensor mounted on a metal membrane, at pressures of 0 MPa–2.0 MPa and temperatures of 5 °C–45 °C. Nonlinear models outperformed linear ones, with R¯2 values of 0.9725–0.9992. The model was validated using Leave-One-Out Cross-Validation (LOOCV), yielding an out-of-sample RMSE (Root Mean Square Error) of 0.0452 nm. Pressure sensitivity remained constant at 0.2250 nm/MPa, while temperature sensitivity decreased from 0.0224 nm/°C at 5 °C to 0.0069 nm/°C at 45 °C. RSM showed that pressure influences the slope and temperature influences the offset, with no significant interaction. Residual analysis satisfied the regression assumptions, and the combined uncertainty (0.008 nm/MPa; 0.0003 nm/°C) was much smaller than the observed sensitivity range, confirming that the variations are physical, not instrument noise. This framework is practical and statistically sound for single FBG sensor calibration.

    Metrology

    9 November 2026

    • Article
    • Open Access

    Walnut protein is a promising candidate for the development of functional health supplements. In this study, peptides were prepared via the limited trypsin hydrolysis of walnut protein, and their immunomodulatory effects on macrophages were evaluated through both in vivo and in vitro experiments. We found that peptide administration modulated systemic arginine metabolism. In macrophages, the peptides induced transcriptional reprogramming toward a pro-inflammatory phenotype, regardless of their immunosuppressive status. Specifically, peptide treatment upregulated Slc7a2 expression, concomitant with enhanced arginine uptake, while concurrently suppressing the arginine-to-guanidinoacetic acid/creatine pathway. These findings reveal a mechanistic role of walnut-derived peptides in regulating macrophage polarization through arginine metabolic reprogramming. Consequently, the stimulation of M2-polarized macrophages with these peptides reversed their tumor-promoting propensity and restored their cytotoxicity against tumor cells. Together, these findings provide a scientific basis for the value-added processing and high-end utilization of walnut proteins in nutraceutical applications.

    Foods

    9 November 2026

    • Article
    • Open Access

    Birdsong can alter the perception of an urban soundscape; however, its acoustic effects are not fully described by conventional sound level measures. The presence of singing birds introduces additional acoustic components that can influence the overall character and experience of an urban environment. This study examines bird-enriched urban soundscapes using the Total Distraction Coefficient (TDC), an objective acoustic parameter based on loudness, loudness growth rate, and sharpness, which was developed to estimate how strongly sudden and unexpected loudness changes disrupt concentration. Five park soundscapes containing different singing bird vocalizations were analyzed and compared with the same park background without birds. Compared with this background (TDC = 0.303), the addition of birdsong did not increase the TDC calculated with the original model. Instead, the TDC decreased to 0.242–0.267, mainly because the birdsong raised the mean loudness, so that the loudness peaks of the background stood out less. Sharpness, on the other hand, differed clearly between the soundscapes and increased with the peak frequency of the bird vocalizations. Furthermore, the acoustic character of the same urban environment changed depending on which bird species was added. These findings are compared with the listeners’ ratings of the same soundscapes on bipolar adjective pairs, obtained in a previous study, which describe features such as pleasantness, naturalness, diversity, and soothing quality. In an exploratory comparison of the five soundscapes, TDC did not follow listeners’ appraisal, suggesting that birdsong can change how an urban soundscape is perceived without increasing its distraction potential as estimated by TDC.

    Appl. Sci.

    9 November 2026

    • Article
    • Open Access

    Viral nervous necrosis (VNN), caused by nervous necrosis virus (NNV), is a devastating viral disease affecting marine fish aquaculture worldwide, particularly during larval and juvenile stages. Although NNV has a broad and expanding host range, the susceptibility of greenfin horse-faced filefish (Thamnaconus septentrionalis) has not been established. To determine whether T. septentrionalis is susceptible to NNV, we investigated an outbreak of abnormal mortality in juveniles from a marine aquaculture farm in Rizhao, Shandong Province, China. A comprehensive etiological investigation combined bacterial isolation and identification, real-time quantitative RT-PCR (RT-qPCR), tissue-distribution analysis, histopathology, transmission electron microscopy (TEM), and RNA2-based phylogenetic analysis. Diseased fish exhibited characteristic VNN-like neurological signs, including spiral swimming, loss of equilibrium, anorexia, and body darkening. Several bacterial taxa, including Vibrio- and Tenacibaculum-related isolates, were recovered from diseased fish, indicating the possibility of bacterial involvement. However, the concurrent detection of abundant NNV RNA in neural tissues, together with characteristic neurological signs, compatible histopathological lesions, and NNV-like particles, provided convergent evidence supporting natural NNV infection. NNV RNA was detected in all ten diseased fish, whereas the other screened viral pathogens were not detected. Pooled brain–eye samples contained 4.62 × 108 to 1.33 × 109 NNV RNA copies/μg total RNA, and abundant NNV RNA was also detected in brain, spleen, kidney, and trunk tissues. Histological examination showed vacuolar and degenerative lesions in the brain and retina, and TEM revealed numerous non-enveloped, spherical virus-like particles approximately 25 nm in diameter in neural tissues, consistent with NNV morphology. Phylogenetic analysis of the RNA2 capsid protein gene placed the detected virus within the RGNNV RNA2 lineage. Together, the neurological signs, NNV RNA detection, compatible histopathological lesions, NNV-like particles in neural tissues, and RNA2 phylogenetic evidence provide evidence of natural NNV infection in T. septentrionalis. These findings document evidence of natural NNV infection in T. septentrionalis under aquaculture conditions, highlight the need for further investigations into pathogenicity and transmission, and provide a basis for VNN surveillance and biosecurity management in filefish aquaculture.

    Pathogens

    9 November 2026

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  • Article
  • Open Access

I argue that the emerging sciences of synthetic morphology and diverse intelligence suggest non-physicalist models of mind and show how they can be empirically investigated. Whence the anatomical, physiological, molecular-biological, and behavioral properties of engineered new beings that have never before existed, and do not have a history of selection? Understanding, predicting, and guiding new forms of life and mind requires characterizing a structured latent space of patterns. Developmental, synthetic, and behavioral biology should take seriously, and exploit, the kinds of non-physicalist ideas that are already a staple of Platonist mathematics. I propose the following hypotheses. (1) Patterns in this space span a highly variable degree of agency, comprising a spectrum ranging from static truths studied by mathematicians to active ones studied by behavioral scientists (i.e., some patterns on the same spectrum as mathematical truths are kinds of minds). (2) The relationship between mind and body is the same as the relationship between causally instructive mathematical facts and physics. (3) Living beings have no monopoly on the “free lunches” provided by the ingression of these patterns into the physical world. While traditional computationalist views of living and cognitive systems are insufficient, my framework erases artificial distinctions between organisms and machines, framing all physical constructs (natural or engineered) as being, to various degrees, in-formed by patterns from the latent space. I sketch a research program, already begun, inspired by these ideas. Such frameworks, while contradicting long-held assumptions of both mechanists and organicists, could have many implications for evolutionary biology, regenerative medicine, AI, and the ethics of synthbiosis with the forthcoming immense diversity of morally important beings.

Philosophies

9 September 2026

80,522 Views
Bodies and minds self-assemble from single cells as a process of alignment and autopoiesis. (A) Most complex biological forms begin as one cell—a fertilized oocyte, commonly thought to be well-described by the laws of physics and chemistry. (B) A gradual, slow process of developmental morphogenesis results in the final form of the organism, which may have complex structure and a mind which may not believe it is a “machine”. Our transformation from a chemical soup into an active embodied mind is continuous but heterogeneous: (C) while we commonly think of ourselves as a unified intelligence with a “centralized” brain, the fact is that even the pineal gland, of which there is only one in the brain, is made of cells (C′) and those cells in turn are made of myriad other active components (C″)—we are a collective intelligence at all scales. (D) The creation of an “individual” out of an excitable medium such as an embryonic blastoderm with hundreds of thousands of cells is a dynamic process that is not hardwired: scratches made in that blastoderm would result in independent self-organization in each island, resulting in multiple embryos forming. This reveals the potentiality for some non-pre-determined number of minds to arise out of the same substrate. Images in (A,B,D) courtesy of Jeremy Guay of Peregrine Creative, used previously in [29]. Image (B) used with permission from [30]. Image in (C′) courtesy of Jose Calvo, Science Photo Library. Image in (C″) courtesy of Evan Ingersoll and Gaël McGill. Image (D) used with permission from [31].
  • Review
  • Open Access

Background: Chlorine dioxide (ClO2), formulated as an aqueous solution (CDS), has been proposed as a therapeutic agent, yet its classification among oxidizing compounds is frequently confounded with chemically distinct species—sodium chlorite (NaClO2) and sodium hypochlorite (NaOCl). Objective: This study aimed to synthesize the physicochemical, mechanistic and cellular basis of ClO2 action and to delineate the distinctions between ClO2 and related oxidants, with explicit separation of established data from hypothesized data. Methods: The methodology includes a narrative synthesis of electrochemical data, primary toxicological and clinical literature (PubMed) and the redox-biology literature on low-dose oxidant signaling. Results: ClO2 is a neutral free radical that acts via one-electron transfer (E°′ = +0.95 V vs. SHE for the half-reaction ClO2 + e− → ClO2−, essentially pH-independent over pH 4–8, pH-independent) without chlorination. Its antimicrobial action is attributable to oxidation of thiol-dependent enzymes and membrane constituents and to the inhibition of bacterial respiratory metabolism; host-cell sparing is consistent with differential glutathione-dependent buffering. Controlled human ingestion studies at low concentrations report a favorable short-term safety profile; conversely, the principal metabolite (chlorite) is associated with documented developmental toxicity in animals and regulatory caution by EPA/WHO. Low-dose ClO2 exposure is hypothesized—but not yet directly demonstrated—to elicit dose-dependent adaptive redox responses and redox-regulatory modulation. Conclusions: The one-electron, non-chlorinating chemistry of ClO2 provides a coherent mechanistic framework. The translation of this framework into clinical application requires prospective trials and direct mechanistic measurement, ideally conducted by independent investigators. The following mechanisms are hypothesized and have not yet been directly demonstrated in vivo: modulation of oxidative phosphorylation, mitochondrial oxygenation, and associated redox-regulatory signaling. Reported antimicrobial efficacy typically occurs in the low-ppm range (0.1–5 ppm), whereas adverse effects on mammalian cells in the reviewed literature are reported at concentrations at least one order of magnitude higher; direct head-to-head cytotoxicity comparisons remain scarce and are identified as a priority for future work. This differential thiol buffering—in particular, the higher glutathione content of many mammalian cells relative to many pathogens—has been proposed as a contributing basis for host-cell sparing; direct quantitative confirmation in vivo is not yet available. Bacterial species possess their own thiol-based defense systems (e.g., mycothiol in actinomycetes, bacillithiol in Firmicutes), and the interplay between ClO2 and these systems requires further investigation.

Biophysica

21 September 2026

15,805 Views
Mechanistic overview. ClO2 acts via one-electron oxidation of microbial targets (thiol oxidation, envelope and nucleic acid damage, respiratory inhibition); host cells are spared through glutathione-dependent redox buffering. The proposed low-dose hormetic response is a hypothesis requiring direct experimental confirmation, as discussed in Section 4.2.
  • Article
  • Open Access

Evidence of Selective Response in the Free-Breeding Dog Population in Chornobyl

  • Megan N. Dillon,
  • Reade B. Roberts and
  • Matthew Breen
  • + 3 authors

Background/Objectives: Understanding genomic responses to environmental contamination is essential for assessing long-term ecological and genetic risk. The free-breeding dogs inhabiting the Chornobyl Exclusion Zone (CEZ) offer a unique, multigenerational model for investigating these responses within a chronically contaminated landscape. Following the 1986 radioecological disaster at the Chornobyl Nuclear Power Plant, and subsequent remediation activities, the surrounding environment was contaminated by ionizing radiation, heavy metals, organic compounds, and other environmental toxicants. Our previous work identified significant genetic differentiation between two distinct but geographically proximate dog populations within the CEZ, a pattern not explained by breed composition, spatial isolation, or increased mutation rates. Methods: In this study, we tested the hypothesis that the dogs residing at the nuclear power plant show genomic signatures consistent with adaptive evolution in response to chronic environmental stressors. This work extends prior population-genetic analyses by integrating whole-genome selection scans with estimates of effective population size and comparative measures of population divergence, providing a framework to evaluate whether the observed genomic differentiation is more consistent with selection than demography. Using these whole genomic data, we evaluated chromosome-level FST metrics, estimated effective population size (Ne), and analyzed a geographically isolated island dog population as a comparative reference for genetic divergence. Results: We continued to find that the levels of genetic differentiation are not comparable to other free-breeding dog populations. Genome-wide outlier analyses identified candidate loci showing evidence of positive selection across multiple metrics. Conclusions: Genes associated with these loci were enriched for biological functions related to DNA replication and repair, cell death and survival, cellular compromise, immune response, and cancer-associated pathways, suggesting biologically plausible mechanisms through which chronic environmental stress could influence fitness. These findings are consistent with directional selection in the nuclear power plant population, which could potentially be associated with the environmental variables present, and advance our understanding of local adaptation and genomic resilience under chronic environmental contamination.

Genes

27 September 2026

8,656 Views
Historical effective population size (Ne) estimations generated through GONE analysis. The plot visualizes the Ne as estimated for the past 100 generations for each population, with points for the population size estimates and a loess smoother for these data points with default confidence band in gray. CC indicates Chornobyl City (in gold) and NPP indicates the Nuclear Power Plant population (in blue).
  • Review
  • Open Access

Neglected tropical diseases (NTDs) caused by Leishmania and Schistosoma species continue to impose a significant health burden in endemic regions, largely due to limited therapeutic options, drug resistance, and incomplete understanding of parasite biology at the molecular level. A major restriction in the development of targeted interventions is the structural inaccessibility of parasite membrane-associated proteins, which are central to host invasion, nutrient transport, immune evasion, and survival. Recent advances in cryogenic electron microscopy (cryo-EM) have expanded the structural biology toolkit available for studying difficult parasite proteins, particularly large and membrane-associated macromolecular assemblies. However, experimentally resolved cryo-EM structures remain limited for many of the Leishmania and Schistosoma targets relevant to therapeutic and vaccine development. This review therefore distinguishes experimentally determined structures from partial structural information and computational models and examines how potential cryo-EM approaches may address unresolved structural questions. We discuss current structural knowledge of selected parasite targets, approaches for recombinant expression and membrane-protein stabilization, membrane-mimetic systems for structural characterization, and computational methods that complement experimental structural biology. We further examine how experimentally supported structural information, complemented by computational predictions where appropriate, could contribute to structure-guided drug discovery, vaccine design, and targeted nanomedicine. At present, however, the direct translation of parasite structural information into rational nanotherapeutic design remains limited. Key gaps include the scarcity of experimentally resolved parasite membrane protein structures, challenges in their expression and structural characterization, and limited integration of structural biology with nanoparticle engineering. Resolving these gaps may improve the prospects for structure-informed therapeutic and nanomedicine applications against leishmaniasis, schistosomiasis, and other NTDs.

Curr. Issues Mol. Biol.

30 September 2026

8,211 Views
Molecular representation of experimentally characterized structural regions of selected Leishmania and Schistosoma targets (extracted from the PDB database and visualized with ChimeraX software). (A) X-ray crystal structure of Leishmania major leishmanolysin (GP63; PDB 1LML), showing the experimentally determined protein architecture and catalytic zinc-containing region. (B) Solution NMR structure of the extracellular EC2 domain of Schistosoma mansoni Sm-TSP-2 (PDB 2M7Z). The Sm-TSP-2 structure represents an 81-residue extracellular domain and does not resolve the complete four-pass membrane protein or its organization within the native tegument. The structures illustrate the different levels and experimental methods of structural evidence available for these parasite targets.

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Editor's Choice Articles

  • Review
  • Open Access

Somatic hematopoietic mutations, particularly clonal hematopoiesis of indeterminate potential (CHIP), represent an emerging link between aging, inflammation and cardiovascular disease beyond their established relevance in hematology. This narrative review examines how acquired mutations in hematopoietic stem and progenitor cells contribute to cardiovascular pathogenesis and how this knowledge may inform precision prevention and therapy. Evidence from experimental, clinical and population studies was synthesized with emphasis on clonal expansion, variant allele fraction, gene-specific mechanisms and cardiovascular phenotypes. The reviewed data indicate that driver mutations in DNMT3A, TET2, ASXL1, JAK2, TP53 and PPM1D can promote chronic myeloid inflammation, NLRP3/IL-1β and IL-6 signaling, endothelial dysfunction, atherosclerotic plaque instability, myocardial fibrosis, adverse remodeling, thrombosis, arrhythmias and cardio-oncology complications. The cardiovascular impact of CHIP appears heterogeneous and depends on the mutated gene, clone size, inflammatory phenotype, age, sex, treatment exposures and traditional risk factors. Anti-inflammatory, antithrombotic and mutation-oriented strategies, including IL-1β/NLRP3 blockade and pathway-specific approaches, are promising but remain incompletely validated. Somatic hematopoietic mutations should be considered cardiovascular risk modifiers rather than uniform disease entities. Future studies are needed to define screening thresholds, clinical utility and safety of CHIP-guided risk stratification and targeted therapy.

Cardiogenetics

3 November 2026

Clonal Expansion and Stepwise Mutation Accumulation in Hematopoietic Stem and Progenitor Cells. This figure illustrates the biological basis of clonal hematopoiesis, showing how acquired somatic mutations in hematopoietic stem and progenitor cells (HSPCs) can confer a selective advantage, leading to clonal expansion and altered myeloid cell function and inflammatory signaling. Clonal hematopoiesis of indeterminate potential (CHIP), particularly involving mutations in TET2 and ASXL1, has been associated with an increased risk of cardiovascular disease, including atherosclerosis, heart failure, arrhythmias, thrombosis, aortic stenosis, and myocardial remodeling. Experimental studies support potential mechanistic links between specific mutations, inflammation, endothelial dysfunction, and cardiovascular pathology. However, epidemiological associations do not establish causality, and causal relationships remain incompletely demonstrated in humans. Further accumulation of somatic mutations may also contribute to progression toward hematologic malignancy, although this process is not depicted explicitly in the figure. Abbreviations: HSPCs, hematopoietic stem and progenitor cells; CHIP, clonal hematopoiesis of indeterminate potential; IL, interleukin; TNF-α, tumor necrosis factor alpha; NLRP3, NLR family pyrin domain containing 3.
  • Article
  • Open Access

Electric Double Layers in Soils as Basis for Micro-Aggregation

  • Edgar Galicia-Andrés,
  • Chris Oostenbrink and
  • Martin Gerzabek
  • + 1 author

The behavior of ions at the electric double layer interfacial region between solid and liquid phases is well known in surface and material science. However, this is not fully the case in soil science, where the electric double layer develops due to the inherent complexity and diversity of negatively charged soil organic matter molecules that sorb at the mineral surface. This lack of knowledge opens questions regarding the interaction mechanisms at the molecular scale that lead to the stabilization of such soil building blocks, the so-called organo-mineral aggregates. By using classical molecular dynamics simulations, we studied the interactions between Kaolinite and four standardized soil organic matter samples with different aromatic and carboxylic content and Ca2+ cations clustering OM molecules and stabilizing them to the surface. We assessed the influence of (i) organic content, (ii) water content, and (iii) competing Cl− ions. Cluster aggregates are favored in soils with a high aliphatic fraction at low-water content, whereas aggregation is favored in soils with high aromatic fraction at high-water content and in the presence of Cl− ions. Moreover, samples with a low acid fraction favor clustering due to non-bonded interactions and hydrogen bonds. All of these environments are reflected as unique charge-density “fingerprints” and surface coverage for each OM sample. This work represents a step towards the characterization and study of natural soils tunable to specific local conditions.

Minerals

30 October 2026

Snapshot of cavities: (a) partially filled, (b) fully filled by water, and (c) fully filled by water and extra ions (CaCl2 solution). The cavity is represented by the periodic image of the Kaolinite basal surface in the z-direction. OM is represented by the green surface, Ca2+ ions by magenta spheres, and Cl− ions by yellow spheres.
  • Review
  • Open Access

Non-dilated left ventricular cardiomyopathy (NDLVC) presents a unique clinical paradox: patients with nearly identical phenotypes can face radically different clinical outcomes. NDLVC has been recently recognized as a distinct dynamic phenotype within the spectrum of non-ischemic cardiomyopathies, linked by a high risk of life-threatening arrhythmias. Recent advances in genetics have overcome clinical phenotyping in prognostic accuracy. Specifically, gene-specific scores have been introduced to guide primary prevention ICD in high-risk gene carriers. On the other hand, while gene-elusive cases present a more favourable arrhythmic profile, their long-term clinical outcome is more challenging to predict. Despite advancements in therapeutic strategies, the heterogeneity of the disease represents an ongoing dilemma for risk stratification and long-term surveillance. This review offers a comprehensive analysis of NDLVC management in clinical practice, highlighting the profound prognostic divergence between genetic (both in actionable and VUS carriers) and gene-elusive cohorts. By synthesizing current evidence, we aim to clarify how genotype–phenotype correlations influence clinical outcomes and to provide a framework for more personalized approaches in the follow-up and treatment of these distinct patient populations. Furthermore, we address the current lack of standardized guidelines specifically tailored to gene-elusive phenotypes. In conclusion, NDLVC management requires a paradigm shift towards a multi-parametric, genotype-directed framework, where cardiac magnetic resonance tissue characterisation and personalized risk scores are essential to optimize sudden cardiac death prevention. Future research must leverage artificial intelligence and polygenic risk scores (PRSs) to integrate multi-parametric clinical-imaging data and refine risk stratification beyond traditional binary models. Concurrently, human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) will be pivotal as a translational platform to clarify VUS pathogenicity, unravel gene-specific arrhythmic mechanisms, and accelerate targeted therapeutic interventions.

Cardiogenetics

30 October 2026

Methodological Workflow for VUS Management: From Multi-Parametric Evidence Streams to Clinical Decision-Making.
  • Article
  • Open Access

Extreme precipitation and hail events over complex terrain are strongly dependent on the multiscale evolution of convective systems, yet their development remains challenging to observe and model. In this study, we apply a self-supervised learning (SSL) framework to Meteosat infrared 10.8 μm imagery over the Alpine region to derive physically meaningful representations of convective cloud organization across the full daily cycle. The learned representation organizes convective cloud scenes into three primary regimes: early convection (EC), deep convection (DC), and overcast anvil systems (OA), each exhibiting distinct cloud-top properties, spatial structures, and day–night distributions consistent with established convective development stages. Within the developed SSL framework, reported extreme precipitation and hail events are preferentially associated with these regimes, occupying the upper tail of cloud-top height, optical thickness, and cloud coverage distributions within the latent space. This indicates that extremes correspond to rare, intense realizations of continuous convective variability. Two dominant pathways of cloud structure evolution are identified: a rapid EC→DC transition and a persistent DC mode. The former is characterized by fast cloud growth and intensification, while the latter corresponds to mature convective systems with sustained cloud properties. Overall, the results demonstrate that infrared-based SSL representations capture physically consistent convective stages and their transitions, providing a novel observational framework for characterizing extreme convective events and supporting the evaluation of convection-resolving numerical weather prediction models.

Remote Sens.

23 October 2026

(a) Elevation map of the Alpine study domain. Training dataset: (b) Example of the random cropping procedure over the Alpine domain. Two randomly positioned 100 × 100 pixel crops (orange frame) are extracted at each timestep from the IR 10.8 μm channel. Black pixels correspond to a BT of 320 K (see colorbar in panel f) and represent clear-sky pixels masked using the cloud mask. In each crop, we extract a random pair of image views (pink and light-blue frames). (c) DeepCluster-v2 architecture used for the SSL model trained using the two views. Test dataset: (d) Collection of extreme precipitation and hail reports from the ESWD. (e) Aggregation of reports into 15-min intervals and spatial clustering (stars denote cluster centers). (f) Reconstruction of ESWD-based trajectories by linking cluster centers across consecutive timestamps, interpolating missing timestamps within 1 h, and extending trajectories by ±2 h beyond the observation period. Satellite crops (100 × 100 pixels) are then extracted at each cluster center.