Bespoke strategies of Paxillus involutus to extract potassium from diverse phyllosilicates.

Phyllosilicates provide a primary source of minerals used by microorganisms and plants, particularly clay minerals, i.e., phyllosilicates of very small particle size.

Kaolinite bioformation at surface conditions: The role of fungi and bacteria.

Experiments aimed at studying the role of microorganisms in the formation of kaolinite from aluminosilicate solutions (Si:Al = 1:1) are reported. The experiments were carried out at room temperature in presence of living microorganisms, Leonardite humic acid, bacterial debris, bacterial exopolysaccharides (EPS), and some organic ligands. The bacterial debris, EPS, Leonardite and organic ligands were chosen to stabilize Al in octahedral coordination for allowing the crystallization of kaolinite.

Evaluation of the biodegradability of hazardous industrial solid waste: Study of key parameters.

The biological stability of solid waste is one of the main problems related to the environmental impact of landfills and their long-term emission potential. Current European legislation (European Landfill Directive, EC/99/31) introduced the need to reduce biodegradable organic compounds deposited in landfills; however, it set neither official parameters nor methods to define the stability of such a waste. In Spain, biodegradability is generally evaluated using the biological oxygen demand/chemical oxygen demand (BOD/COD) ratio, measuring it on the leachate, thus not considering the non-soluble fraction and therefore creating false negatives.

Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations.

Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries).

Insufficient Pulmonary Rehabilitation Uptake After Severe Exacerbation of COPD: A Multicentre Study in the South West Region of France.

Purpose: Pulmonary rehabilitation (PR) is a type of multidisciplinary care strongly recommended after severe exacerbation of chronic obstructive pulmonary disease (COPD). Recently, a national French study reported a very low rate of PR uptake (8.6%); however, important clinical data were missing.

Brain clocks capture diversity and disparity in aging and dementia.

Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of multimodal diversity (geographical, socioeconomic, sociodemographic, sex, neurodegeneration) on the brain age gap (BAG) is unknown. Here, we analyzed datasets from 5,306 participants across 15 countries (7 Latin American countries -LAC, 8 non-LAC).

Marine Science Can Contribute to the Search for Extra-Terrestrial Life.

Life on our planet likely evolved in the ocean, and thus exo-oceans are key habitats to search for extraterrestrial life. We conducted a data-driven bibliographic survey on the astrobiology literature to identify emerging research trends with marine science for future synergies in the exploration for extraterrestrial life in exo-oceans. Based on search queries, we identified 2592 published items since 1963.

Assessing the pharmaceutical residues as hotspots of the main rivers of Catalonia, Spain.

The global increase in pharmaceutical consumption, driven by factors such as aging populations and chronic diseases, has raised concerns regarding the environmental impact of pharmaceutical contaminants. Europe, and more specifically Catalonia (Spain), exhibits high pharmaceutical consumption rates, potentially exacerbating environmental contamination. Pharmaceuticals enter rivers through various pathways, persisting after wastewater treatment plants and posing risks to aquatic organisms and human health.

Brain health in diverse settings: How age, demographics and cognition shape brain function.

Diversity in brain health is influenced by individual differences in demographics and cognition. However, most studies on brain health and diseases have typically controlled for these factors rather than explored their potential to predict brain signals. Here, we assessed the role of individual differences in demographics (age, sex, and education; n = 1298) and cognition (n = 725) as predictors of different metrics usually used in case-control studies.

IUPAC International Chemical Identifier (InChI)-related education and training materials through InChI Open Education Resource (OER).

The IUPAC International Chemical Identifier (InChI) is a structure-based chemical identifier that encodes various aspects of a chemical structure into a hierarchically layered line notation. Because InChI is non-proprietary, open-source, and freely available to everyone, it is adopted in popular chemical information resources and software programs. This paper describes the InChI Open Education Resource (OER) (https://www.

DIVA Meets EEG: Model Validation Using Formant-Shift Reflex.

The neurocomputational model 'Directions into Velocities of Articulators' (DIVA) was developed to account for various aspects of normal and disordered speech production and acquisition. The neural substrates of DIVA were established through functional magnetic resonance imaging (fMRI), providing physiological validation of the model. This study introduces DIVA_EEG an extension of DIVA that utilizes electroencephalography (EEG) to leverage the high temporal resolution and broad availability of EEG over fMRI.

Clinically significant macular edema in an underserved population: Association with demographic factors and hemoglobin A1c.

Significance: Suspected clinically significant macular edema (SCSME) from exudates differed among ethnic groups in our underserved population. African American and Asian subjects had higher prevalence than Hispanics and non-Hispanic Caucasians, from the same clinics. Men had higher prevalence than women.

Diabetic Retinopathy during pregnancy in Hispanic women with latent Toxoplasma gondii infection.

Background: Retinal photography was performed in pregnancy and postpartum in pregnant Hispanic women with latent Toxoplasma gondii (TG) infection in order to screen for characteristic retinal lesions or the particular scars found in people with active T. gondii infection. A comparison group of TG negative women was included in the study but they did not have retinal photography.

Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization.

Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers.

Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient-control normalizations, and multi-metric EEG source space connectomics analyses.

Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts.

Analysis of an event study using the Fama-French five-factor model: teaching approaches including spreadsheets and the R programming language.

The current financial education framework has an increasing need to introduce tools that facilitate the application of theoretical models to real-world data and contexts. However, only a limited number of free tools are available for this purpose. Given this lack of tools, the present study provides two approaches to facilitate the implementation of an event study.

A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.

Background: Photographs of the external eye were recently shown to reveal signs of diabetic retinal disease and elevated glycated haemoglobin. This study aimed to test the hypothesis that external eye photographs contain information about additional systemic medical conditions.

Methods: We developed a deep learning system (DLS) that takes external eye photographs as input and predicts systemic parameters, such as those related to the liver (albumin, aspartate aminotransferase [AST]); kidney (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [ACR]); bone or mineral (calcium); thyroid (thyroid stimulating hormone); and blood (haemoglobin, white blood cells [WBC], platelets).

[Awareness of chemsex, pre-exposure prophylaxis, and sexual behavior in primary health care in Spain].

Objective: To describe the degree of knowledge of primary care professionals about the practice of chemsex, its potential side effects and pre-exposure prophylaxis against HIV (PrEP).

Material And Methods: Observational, descriptive, cross-sectional, observational study using an online survey aimed at primary care professionals. The survey consisted of 25 questions on: (i)sociodemographic data; (ii)performance of sexual interview in the consultation; (iii) level of knowledge about the use of chemsex and its complications; (iv)degree of knowledge about PrEP, and (v)training needs of professionals.

[Limitations of the Xpert-MTB/RIF® assay in the initial diagnosis of tuberculosis in the context of a rural hospital in Ethiopia].

Objective: To evaluate the implementation of Xpert-MTB/RIF®, as an early diagnosis technique, in a rural area of Ethiopia.

Methods: Data were retrospectively collected from those patients over 13 years of age who were requested to take the Xpert MTB/RIF® test in a rural hospital located 45 km from the reference laboratory, during the first 3 years of its implementation (2015, April -2018, April).

Results: A total of 306 patients older than 13 years were evaluated, in 85 (27.

Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes.

Artificial intelligence can use real-world data to create models capable of making predictions and medical diagnosis for diabetes and its complications. The aim of this commentary article is to provide a general perspective and present recent advances on how artificial intelligence can be applied to improve the prediction and diagnosis of six significant complications of diabetes including (1) gestational diabetes, (2) hypoglycemia in the hospital, (3) diabetic retinopathy, (4) diabetic foot ulcers, (5) diabetic peripheral neuropathy, and (6) diabetic nephropathy.

[The postal code as a "bar code" of antimicrobial resistance].

Objective: The need to integrate local resistances into clinical practice is increasingly urgent, especially in Primary Care where empirical treatment is frequent.

Methods: A retrospective observational study of positive microbiological isolates of Neisseria gonorrhoeae from any location (urethral, cervical, pharyngeal, rectal or urine) was carried out in the health area of Alcalá de Henares. Sociodemographic characteristics and resistance to cephalosporins, azithromycin, penicillin and quinolones were analyzed.