Corrigendum: Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.

[This corrects the article DOI: 10.3389/frai.2024.

iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings.

Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality.

Optimizing Operating Room Efficiency for Primary Hip and Knee Arthroplasty Using Performance Benchmarks.

Background: With increasing demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA), maximizing operating room (OR) efficiency is critical. This paper sought to examine the implementation of time benchmarks when performing primary TKA and THA. We hypothesized that implementing benchmarks would improve efficiency and the number of joints performed per day.

Challenges of reproducible AI in biomedical data science.

Artificial intelligence (AI) is revolutionizing biomedical data science at an unprecedented pace, transforming various aspects of the field with remarkable speed and depth. However, a critical issue remains unclear: how reproducible are the AI models and systems employed in biomedical data science? In this study, we examine the challenges of AI reproducibility by analyzing the factors influenced by data, model, and learning complexities, as well as through a game-theoretical perspective. While adherence to reproducibility standards is essential for the long-term advancement of AI, the conflict between following these standards and aligning with researchers' personal goals remains a significant hurdle in achieving AI reproducibility.

Constant di/dz scanning tunneling microscopy: Atomic precision imaging and hydrogen depassivation lithography on a Si(100)-2 × 1:H surface.

We introduce a novel control mode for Scanning Tunneling Microscope (STM) that leverages di/dz feedback. By superimposing a high-frequency sinusoidal modulation on the control signal, we extract the amplitude of the resulting tunneling current to obtain a di/dz measurement as the tip is scanned over the surface. A feedback control loop is then closed to maintain a constant di/dz, enhancing the sensitivity of the tip to subtle surface variations throughout a scan.

Long-lasting antimicrobial effect of multipurpose ZnO nanoparticle-loaded dental resins enhanced by blue light photodynamic therapy.

Objectives: This study aimed to assess the potential of experimental dental resins containing ZnO nanoparticles (ZnO-NPs) for antimicrobial photodynamic therapy (aPDT) as a functional tool for the modulation of cariogenic biofilm in long-term.

Methods: Minimum inhibitory and bactericidal concentrations (MIC/MBC) of ZnO-NPs against Streptococcus mutans were initially determined under different energy densities of blue LED irradiation (0.00, 1.

Arbitrary Optics for Gaussian Splatting Using Space Warping.

Due to recent advances in 3D reconstruction from RGB images, it is now possible to create photorealistic representations of real-world scenes that only require minutes to be reconstructed and can be rendered in real time. In particular, 3D Gaussian splatting shows promising results, outperforming preceding reconstruction methods while simultaneously reducing the overall computational requirements. The main success of 3D Gaussian splatting relies on the efficient use of a differentiable rasterizer to render the Gaussian scene representation.

Movement Pattern Biofeedback Training After Total Knee Arthroplasty: A Randomized Controlled Trial.

Objective: Habitual movement compensations, such as decreased surgical peak knee extension moments (pKEM), persist years after total knee arthroplasty (TKA), are linked to poorer recovery, and may influence contralateral osteoarthritis progression. The purpose of this randomized clinical trial was to determine if a movement training program (MOVE) improves movement quality and recovery after TKA compared to a standardized rehabilitation program without movement training (CONTROL).

Methods: One hundred thirty-eight individuals were randomized to either MOVE or CONTROL groups after TKA.

ExerG - an exergame-based training device for the rehabilitation of older adults: a functional model usability study.

Background: Exergames are interactive technology-based exercise programs. By combining physical and cognitive training components, they aim to preserve independence in older adults and reduce their risk of falling. This study explored whether primary end users (PEU, healthy older adults and patients with neurological and geriatric diagnoses) and secondary end users (SEU, health professionals) evaluated the ExerG functional model to be usable, providing a positive experience and therefore acceptable.

Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions.

Introduction: The rapid escalation of cyber threats necessitates innovative strategies to enhance cybersecurity and privacy measures. Artificial Intelligence (AI) has emerged as a promising tool poised to enhance the effectiveness of cybersecurity strategies by offering advanced capabilities for intrusion detection, malware classification, and privacy preservation. However, this work addresses the significant lack of a comprehensive synthesis of AI's use in cybersecurity and privacy across the vast literature, aiming to identify existing gaps and guide further progress.

Health prediction for king salmon via evolutionary machine learning with genetic programming.

King (Chinook) salmon is the only salmon species farmed in Aotearoa New Zealand and accounts for over half of the world's production of king salmon. Determining the health status of king salmon effectively is important for farming. However, it is a challenging task due to the complex biotic and abiotic factors that influence health.

Trabecular bone structural units and their cement lines change with age, bone volume fraction, structure, and strength in female human vertebrae.

A lifetime of successive bone remodeling events leads to trabeculae which are composed of a patchwork of bone structural units (BSUs) called hemi-osteons or trabecular packets. Traditionally, only intact surface BSUs have been studied, which are those that have been created most recently. Accordingly, the complex changes in the size and distribution of BSU throughout the trabeculae have been overlooked.

External archive guided radial-grid multi objective differential evolution.

Differential evolution (DE) is a robust evolutionary algorithm for solving single-objective and multi-objective optimization problems (MOPs). While numerous multi-objective DE (MODE) variants exist, prior research has primarily focused on parameter control and mutation operators, often neglecting the issue of inadequate population distribution across the objective space. This paper proposes an external archive-guided radial-grid-driven differential evolution for multi-objective optimization (Ar-RGDEMO) to address these challenges.

On the torsion part in the -theory of imaginary quadratic fields.

We obtain upper bounds for the torsion in the -groups of the ring of integers of imaginary quadratic number fields, in terms of their discriminants.

Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis.

The objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees' cognitive control levels during a pilot training process while they underwent basic flight maneuvers. EEG microstate analysis was applied together with spectral power features to quantitatively monitor trainees' cognitive control under varied flight tasks during different training sessions on a flight simulator.

Role of sulphur in resistive switching behavior of natural rubber-based memory.

The rising environmental awareness has spurred the extensive use of green materials in electronic applications, with bio-organic materials emerging as attractive alternatives to inorganic and organic materials due to their natural biocompatibility, biodegradability, and eco-friendliness. This study showcases the natural rubber based resistive switching memory devices and how varying sulphur concentrations (0 - 0.8 wt.

Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning-Based Framework: Development and Evaluation Study.

Background: Youth experiencing homelessness face substance use problems disproportionately compared to other youth. A study found that 69% of youth experiencing homelessness meet the criteria for dependence on at least 1 substance, compared to 1.8% for all US adolescents.

Selective on-site detection and quantification of polystyrene microplastics in water using fluorescence-tagged peptides and electrochemical impedance spectroscopy.

In this study, we developed a method for the on-site selective detection and quantification of microplastics in various water matrices using fluorescence-tagged peptides combined with electrochemical impedance spectroscopy (EIS). Among the types of plastics found in seawater, polystyrene (PS) microplastics were selected. Fluorometry, scanning electron microscopy (SEM), and Raman spectroscopy were used to verify the specific interaction of these peptides with PS spherical particles of different sizes (ranging from 0.

Enhancing Urban Climate Resistance Through the Application of Selected Strategies and Technologies.

Adapting cities for climate resilience is crucial as climate change increases the frequency and severity of extreme weather events. This study outlines a comprehensive set of resilience strategies aimed at enhancing urban resilience across four key domains: water, food, shelter, and energy. These strategies, applicable to both new and existing neighborhoods, range from simple, short-term measures to complex, long-term initiatives.

GSK-3β in Dendritic Cells Exerts Opposite Functions in Regulating Cross-Priming and Memory CD8 T Cell Responses Independent of β-Catenin.

GSK-3β plays a critical role in regulating the Wnt/β-catenin signaling pathway, and manipulating GSK-3β in dendritic cells (DCs) has been shown to improve the antitumor efficacy of DC vaccines. Since the inhibition of GSK-3β leads to the activation of β-catenin, we hypothesize that blocking GSK-3β in DCs negatively regulates DC-mediated CD8 T cell immunity and antitumor immunity. Using CD11c-GSK-3β conditional knockout mice in which GSK-3β is genetically deleted in CD11c-expressing DCs, we surprisingly found that the deletion of GSK-3β in DCs resulted in increased antitumor immunity, which contradicted our initial expectation of reduced antitumor immunity due to the presumed upregulation of β-catenin in DCs.

Golf Club Selection with AI-Based Game Planning.

In the dynamic realm of golf, where every swing can make the difference between victory and defeat, the strategic selection of golf clubs has become a crucial factor in determining the outcome of a game. Advancements in artificial intelligence have opened new avenues for enhancing the decision-making process, empowering golfers to achieve optimal performance on the course. In this paper, we introduce an AI-based game planning system that assists players in selecting the best club for a given scenario.