Citrus bliss: potassium, sodium, and calcium silicates secrets for post-harvest diseases of fruit defense.

Biotic stress significantly challenges the global citrus industry. Major post-harvest issues include diseases caused by , and . The negative impact of chemical fungicides on the environment and health necessitates eco-friendly alternatives.

Virtual reality boxing: impact of gaze-contingent blur on elite boxers performance and gaze behavior.

It is essential in combat sports such as boxing for athletes to perceive the relevant visual information that enables them to anticipate and respond to their opponent's attacking and defensive moves. Here, we used virtual reality (VR), which enables standardization and reproducibility while maintaining perception-action coupling, to assess the influence of a gaze-contingent blur on the visual processes that underpin these boxing behaviours. Eleven elite French boxers were placed in an immersive and adaptive first-person VR environment where they had to avoid by dodging one or two punches, and then counterattack to strike their opponent.

How to reduce the adverse effects of weight stigma on the quality of life: a preferred reported items for systematic reviews and meta-analyses (PRISMA).

Introduction: Obesity, affecting 38% of adults globally, carries economic burdens and health risks like cardiovascular disease and diabetes. Weight-loss programs often face challenges due to stigma and poor body image, impacting individuals' quality of life. Research on interventions targeting weight stigma is lacking, emphasizing the need for comprehensive approaches addressing psychological and behavioral aspects for effective care.

Synthesizing and assessing influenza vaccine evidence: Strengths and limitations of the recent ECDC report on the effectiveness of new and enhanced influenza vaccines. Communication on: the "European Centre for Disease Prevention and Control. Systematic review update on the efficacy, effectiveness and safety of newer and enhanced seasonal influenza vaccines for the prevention of laboratory confirmed influenza in individuals aged 18 years and over. Stockholm: ECDC; 2024".

High quality research is critical for evidence-based decision making in public health and fundamental to maintain progress and trust in immunization programs in Europe. In 2024 the European Centre for Disease Prevention and Control (ECDC) conducted an update of the 2020 systematic review to capture more recent evidence on of the efficacy, effectiveness of influenza vaccines in individuals aged 18 years and older in the prevention of laboratory-confirmed influenza. While this report was highly anticipated due to the strength of the protocol and processes put in place, during our assessment, we expressed two chief concerns.

Critical Evaluation of the 2016 SOSORT Clinical Guidelines on the Detection and Clinical Management of Adolescent Idiopathic Scoliosis Using the AGREE II Tool: A Chiropractic Perspective.

Objective: The objective of this study is to assess the methodological quality of the 2016 Society on Scoliosis Orthopaedic and Rehabilitation Treatment (SOSORT) guidelines for the detection and management of adolescent idiopathic scoliosis.

Methods: A diverse group of experts, including practicing chiropractors, chiropractors with a Diplomate by the American Chiropractic Board of Radiology, chiropractors with PhD degrees, and chiropractors involved in teaching within chiropractic programs was invited to participate in the study. Experts independently evaluated the guidelines using the Appraisal of Guidelines for Research and Evaluation II tool.

The effect of consumption of cranberry on adherence to feline uroepithelial cells in a blind randomised cross-over trial in cats.

Introduction: is the most common uropathogen in humans, dogs and cats. Dietary consumption of cranberry () is known to be associated with a reduction in uropathogenic (UPEC) adhesion to human and canine urinary epithelial cell lines, but this has not been shown in cats.

Material And Methods: Six neutered domestic cats, one male and five females, were randomly fed three diets successively, one containing 0.

Secondary insults prevalence, co-occurrence and relationship with outcome after severe TBI.

Introduction: Secondary insults due to high intracranial pressure (ICP), low cerebral perfusion pressure (CPP) and impaired cerebral pressure reactivity (PRx) predict outcome after severe traumatic brain injury (TBI).

Research Question: What is the prevalence, co-occurrence and prognostic importance of secondary insults due to deranged ICP, CPP or PRx after TBI.

Material And Methods: Severe TBI patients requiring ICP monitoring were included.

Crystal structure of di-μ-acetato-κ :-bis{(acetato-κ ,')tetra-aqua-[1-(pyridin-2-yl-methylidene-κ)-2-(pyridin-2-yl-κ)hydrazine-κ ]lanthanum(III)} dinitrate hemihydrate.

In the binuclear title complex, [La(CHO)(CHN)(HO)](NO)·0.5HO, the two lanthanum ions are nine coordinate in a distorted trigonal-prismatic geometry. Each La ion is bonded to three N atoms of the Schiff base, 1-(pyridin-2-yl)-2-(pyridin-2-yl-methyl-ene)hydrazine and is coordinated by one acetate group, which acts in -bidentate mode and two acetate groups that act in -mode between the two La ions.

A new hydrated crystalline form of -[()-(4-hy-droxy-phen-yl)methyl-idene]-1-1,2,4-triazol-3-amine and its anti-fungal activity.

The synthesis, crystal structure, Hirshfeld analysis, and anti-fungal assessment of a new monohydrated Schiff base with a triazole moiety are reported. The structural study revealed the presence of three significant hydrogen bonds (N-H⋯N, O-H⋯N, and O-H⋯O), which contribute to the cohesion of the crystal. These bonds generate two-dimensional layers parallel to the plane, built on the basis of rings with the graph-set motifs (8) and (24).

Topology-based segmentation of 3D confocal images of emerging hematopoietic stem cells in the zebrafish embryo.

We develop a novel method for image segmentation of 3D confocal microscopy images of emerging hematopoietic stem cells. The method is based on the theory of persistent homology and uses an optimal threshold to select the most persistent cycles in the persistence diagram. This enables the segmentation of the image's most contrasted and representative shapes.

Exploring self-supervised learning biases for microscopy image representation.

Self-supervised representation learning (SSRL) in computer vision relies heavily on simple image transformations such as random rotation, crops, or illumination to learn meaningful and invariant features. Despite acknowledged importance, there is a lack of comprehensive exploration of the impact of transformation choice in the literature. Our study delves into this relationship, specifically focusing on microscopy imaging with subtle cell phenotype differences.

Deep-blur: Blind identification and deblurring with convolutional neural networks.

We propose a neural network architecture and a training procedure to estimate blurring operators and deblur images from a single degraded image. Our key assumption is that the forward operators can be parameterized by a low-dimensional vector. The models we consider include a description of the point spread function with Zernike polynomials in the pupil plane or product-convolution expansions, which incorporate space-varying operators.

Bridging the gap: Integrating cutting-edge techniques into biological imaging with deepImageJ.

This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained convolutional neural networks to custom data. The manuscript demonstrates several deepImageJ capabilities, particularly in deploying complex pipelines, three-dimensional (3D) image analysis, and processing large images.

Who will benefit from vorasidenib? Review of data from the literature and open questions.

The clinical efficacy of isocitrate dehydrogenase (IDH) inhibitors in the treatment of patients with grade 2 IDH-mutant (mIDH) gliomas is a significant therapeutic advancement in neuro-oncology. It expands treatment options beyond traditional radiation therapy and cytotoxic chemotherapy, which may lead to significant long-term neurotoxic effects while extending patient survival. The INDIGO study demonstrated that vorasidenib, a pan-mIDH inhibitor, improved progression-free survival for patients with grade 2 mIDH gliomas following surgical resection or biopsy compared to placebo and was well tolerated.

Financial challenges of being on long-term, high-cost medications.

The isocitrate dehydrogenase (IDH) inhibitor, vorasidenib, may offer a promising new treatment option for patients with IDH-mutant gliomas. However, the indefinite nature of this targeted therapy raises significant financial concerns. High costs of targeted cancer therapies, often exceeding $150 000 annually, contribute to financial toxicity, characterized by medical debt, income loss, and psychological stress, and place stress on health systems.

Lineage-specific patterns in the Moraceae family allow identification of convergent P450 enzymes involved in furanocoumarin biosynthesis.

Specialized metabolites are molecules involved in plants' interaction with their environment. Elucidating their biosynthetic pathways is a challenging but rewarding task, leading to societal applications and ecological insights. Furanocoumarins emerged multiple times in Angiosperms, raising the question of how different enzymes evolved into catalyzing identical reactions.

Sedation Practices in Mechanically Ventilated Neurocritical Care Patients from 19 Countries: An International Cohort Study.

Background: Our objective was to characterize the impact of common initial sedation practices on invasive mechanical ventilation (IMV) duration and in-hospital outcomes in patients with acute brain injury (ABI) and to elucidate variations in practices between high-income and middle-income countries.

Methods: This was a post hoc analysis of a prospective observational data registry of neurocritically ill patients requiring IMV. The setting included 73 intensive care units (ICUs) in 18 countries, with a total of 1,450 patients with ABI requiring IMV.

Impact of Country Income Level on Outcomes in Patients with Acute Brain Injury Requiring Invasive Mechanical Ventilation: A Secondary Analysis of the ENIO Study.

Background: Invasive mechanical ventilation can present complex challenges for patients with acute brain injury (ABI) in middle-income countries (MICs). We characterized the impact of country income level on weaning strategies and outcomes in patients with ABI.

Methods: A secondary analysis was performed on a registry of critically ill patients with ABI admitted to 73 intensive care units (ICUs) in 18 countries from 2018 to 2020.

Machine learning of endoscopy images to identify, classify, and segment sinonasal masses.

Background: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.

Methods: A convolutional neural network-based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024. Images were classified into four groups: normal endoscopy, nasal polyps, benign, and malignant tumors.

Clinical Outcomes According to the Extent of Atherosclerotic Disease in Female Patients Undergoing Transcatheter Aortic Valve Replacement: An Analysis From the WIN-TAVI Registry.

Background: Limited data exist on the impact of polyvascular disease (PolyVD) on clinical outcomes in female patients undergoing transcatheter aortic valve replacement (TAVR). We therefore sought to investigate clinical outcomes in women with versus without PolyVD undergoing TAVR.

Methods: Female participants from the multicentre Women's International Transcatheter Aortic Valve Implantation (WIN-TAVI) registry were categorized based on the presence or absence of PolyVD.

Biogeographical Distribution of River Microbial Communities in Atlantic Catchments.

Microbes inhabit virtually all river ecosystems, influencing energy flow and playing a key role in global sustainability and climate change. Yet, there is uncertainty about how various taxonomic groups respond to large-scale factors in river networks. We analysed microbial community richness and composition across six European Atlantic catchments using environmental DNA sequencing.

Selection can favor a recombination landscape that limits polygenic adaptation.

Modifiers of recombination rates have been described but the selective pressures acting on them and their effect on adaptation to novel environments remain unclear. We performed experimental evolution in the nematode Caenorhabditis elegans using alternative rec-1 alleles modifying the position of meiotic crossovers along chromosomes without detectable direct fitness effects. We show that adaptation to a novel environment is impaired by the allele that decreases recombination rates in the genomic regions containing fitness variation.

Developing machine-learning-based amyloidogenicity predictors with Cross-Beta DB.

Introduction: The importance of protein amyloidogenesis, associated with various diseases and functional roles, has driven the creation of computational predictors of amyloidogenicity. The accuracy of these predictors, particularly those utilizing artificial intelligence technologies, heavily depends on the quality of the data.

Methods: We built Cross-Beta DB, a database containing high-quality data on known cross-β amyloids formed under natural conditions.

Plasma p-tau and neurofilament/p-tau ratio in differentiating Alzheimer's disease from syndromes associated with frontotemporal lobar degeneration.

Introduction: Plasma-based biomarkers have shown promise for clinical implementation, but their accuracy in differentiating Alzheimer's disease (AD) from syndromes associated with frontotemporal lobar degeneration (FTLD) has yet to be fully investigated. This study assessed the potential of plasma biomarkers for differential diagnosis.

Methods: This cohort study included 374 participants (96 AD, 278 FTLD).