Hypersensitive meta-crack strain sensor for real-time biomedical monitoring.

Real-time monitoring of infinitesimal deformations on complex morphologies is essential for precision biomechanical engineering. While flexible strain sensors facilitate real-time monitoring with shape-adaptive properties, their sensitivity is generally lower than spectroscopic imaging methods. Crack-based strain sensors achieve enhanced sensitivity with gauge factors (GFs) exceeding 30,000; however, such GFs are only attainable at large strains exceeding several percent and decline below 10 for strains under 10, rendering them inadequate for minute deformations.

Disinfection of dental root canals by cold atmospheric plasma: a systematic review and meta-analysis of dental biofilm.

Aim: The intricate structure of the tooth root canals has a role in the colonization and biofilm formation in hidden areas that are hardly reached by standard endodontic treatments. This review aims at summarizing data from and studies for a better understanding of the application of cold atmospheric plasma (CAP) for the disinfection of dental root canals.

Methods: PubMed, Scopus, and Web of Science databases were screened.

Context-Aware Integrated Navigation System Based on Deep Learning for Seamless Localization.

An integrated navigation system is a promising solution to improve positioning performance by complementing estimated positioning in each sensor, such as a global positioning system (GPS), an inertial measurement unit (IMU), and an odometer sensor. However, under GPS-disabled environments, such as urban canyons or tunnels where the GPS signals are difficult to receive, the positioning performance of the integrated navigation system decreases. Therefore, deep learning-based integrated navigation systems have been proposed to ensure seamless localization under various positioning conditions.

Laser Desorption/Ionization on Au@TiO Core@Shell Nanostars for Mass Spectrometric Analysis of Small Molecules.

The core@shell nanostars composed of star-like Au nanocores with TiO shells (Au@TiO NSs) are synthesized in a one-pot reaction without any reducing or surface-controlling agents. The Au@TiO NSs exhibit strong absorption in the UV region based on the interaction between the Au nanocore and the TiO shell, and this optochemical property leads to the efficient laser desorption/ionization time-of-flight mass spectrometry (LDI-TOF-MS) analysis of small molecules with low background interference and high reproducible mass signals compared with spherical Au nanoparticles (NPs). The limit of detection and dynamic range values of various analytes also improved with Au@TiO NSs compared with those obtained with spherical Au NPs.

High-Performance Pure Water-Fed Anion Exchange Membrane Water Electrolysis with Patterned Membrane via Mechanical Stress and Hydration-Mediated Patterning Technique.

Despite rapid advancements in anion exchange membrane water electrolysis (AEMWE) technology, achieving pure water-fed AEMWE remains critical for system simplification and cost reduction. Under pure water-fed conditions, electrochemical reactions occur solely at active sites connected to ionic networks. This study introduces an eco-friendly patterning technique leveraging membrane swelling properties by applying mechanical stress during dehydration under fixed constraints.

The unseen perils of oral-care products generated micro/nanoplastics on human health.

The extensive use of plastics in modern dentistry, including oral care products and dental materials, has raised significant concerns due to the increasing evidence of potential harm to human health and the environment caused by the unintentional release of microplastics (MPs) and nanoplastics (NPs). Particles from sources like toothpaste, toothbrushes, orthodontic implants, and denture materials are generated through mechanical friction, pH changes, and thermal fluctuations. These processes cause surface stress, weaken material integrity, and induce wear, posing health risks such as exposure to harmful monomers and additives, while contributing to environmental contamination.

Mg/Si- and Ag-Doped Carbon-Based Media Rainwater Filtration System for Multiple Pollutants Removal.

In this study, the removal performances of a multi-pollutant elimination cartridge system (MPECS) composed of palm shell waste-based activated carbon (PSAC), magnesium (Mg)/silicon (Si)-doped PSAC (Mg/Si-PSAC), and silver (Ag)-doped PSAC (Ag-PSAC) for heavy metals, organic pollutants, and were investigated. Mg/Si impregnation significantly improved heavy metal removal using PSAC by increasing the surface area and adding more sorption sites to the magnesium silicate nanolayer. Fixed-bed column experiments showed that the MPECS column outperformed PSAC and commercial activated carbon (DJAC), with a 1.

Innovative multi-layered FeO-Gr/carbon/polypyrrole nanofiber composite: "a new frontier in dielectric enhancement and EMI shielding".

This study presents the synthesis and comprehensive characterization of an FeO-Gr/carbon/polypyrrole nanofiber composite, highlighting its morphology as determined through Field Emission Scanning Electron Microscopy (FE-SEM) analysis, which reveals the small rod-like shape of the nano-fibers with an average diameter of 68 nm calculated from Image J software, contributing to a high surface area. X-ray diffraction (XRD) analysis confirms the effective formation of FeO-Gr nanofibers, graphene, carbon, and polypyrrole (PPy), showcasing distinct crystallographic phases that strengthen the material's magnetic and conductive properties. The impedance plane plot indicates two relaxation processes at low and high-frequency regions from low to high-temperature ranges of 273 K to 363 K, reflecting complex electroactive charge transport dynamics within the nanofiber composite.

The intrinsic propagation directionality of fMRI infra-slow activity during visual tasks.

The temporal order of propagation in the blood-oxygen-level-dependent (BOLD) infra-slow activity (ISA, 0.01-0.1 Hz) of functional magnetic resonance imaging (fMRI) can indicate the functional organization of the brain.

The Distance Effect in Focus of Attention: Spatial or Temporal Distance?

The benefit of an external focus over an internal focus has been well-established. Within this literature, several studies have documented a distal effect of attentional focus by comparing the efficacy of a proximal and distal external focus. A potential confound is that most distal focus cues direct the performer's attention to an outcome occurring after the completion of movement, while the proximal cues direct attention to something that occurs during the movement process.

Microplastics: The imperative influencer in blueprint of blue economy.

The burgeoning issue of microplastic pollution in marine ecosystems has emerged as a significant concern, presently multifaceted difficulty to the sustainability and prosperity of the blue economy. This review examines the intricate link between microplastics (MPs) and the blue economy (BE), exploring how microplastics infiltrate marine environments, their persistence, and their impacts on economic activities reliant on healthy oceans in a global scenario. Diminished seafood quality and quantity, degraded coastal aesthetics affecting tourism revenues, and increased operational costs due to fouling and contamination are among the economic repercussions identified.

Synapse device based neuromorphic system for biomedical applications.

Despite holding valuable information, unstructured data pose challenges for efficient recognition due to the difficulties in feature extraction using traditional Von-Neumann architecture systems, which are limited by power and time bottlenecks. Although biological neural signals offer crucial insights, they require more effective recognition solutions due to inherent noise and the vast volumes of data. Inspired by the human brain, neuromorphic systems have emerged as promising alternatives because of their parallelism, low power consumption, and error tolerance.

Inactivation of Pseudovirus Expressing the D614G Spike Protein Mutation using Nitric Oxide-Plasma Activated Water.

Variants of concern (VOCs) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) exhibit high infectivity due to mutations, particularly in the spike protein, that facilitate enhanced binding of virus to human angiotensin-converting enzyme 2 (hACE2). The D614G mutation, situated in S1-domain, promotes the open conformation of spike protein, augmenting its interaction with hACE2. Activated water neutralizes pathogens by damaging biological molecules; however, its effect on mutated SARS-CoV-2 or VOCs requires further exploration.

Cu-Catalyzed Hydrodechlorination of Unactivated Alkyl Chlorides Using Diisobutylaluminum Hydride.

A copper-catalyzed hydrodechlorination of primary, secondary, and tertiary alkyl chlorides using diisobutylaluminum hydride is reported. This catalytic system offers a broad substrate scope, high yields, and good functional group tolerance. Mechanistic investigations indicated that the reaction predominantly proceeds via a radical pathway, as supported by radical clock experiments.

Double Carbon-Species Coated Porous Silicon Anode Induced by Interfacial Energy Reduction for Lithium-Ion Batteries.

The rapid development of electric vehicles necessitates high-energy density Li-ion batteries for extended range. Silicon is a promising alternative to graphite anodes due to its high capacity; however, its substantial volume expansion during cycling leads to continuous growth of the solid electrolyte interphase and significant capacity fading. This study addresses these issues by designing a porous Si structure combined with a double carbon-species coating layer, induced by low interfacial energy in a scalable process.

Two-Dimensional Scattering Center Estimation for Radar Target Recognition Based on Multiple High-Resolution Range Profiles.

A new estimation strategy on locations of two-dimensional target scattering centers for radar target recognition is developed by using multiple high-resolution range profiles (HRRPs). Based on the range information contained in multiple HRRPs obtained from various observation angles, the estimated target scattering centers can be successfully located at the intersection points of the lines passing through the multiple HRRP points. This geometry-based algorithm can significantly reduce the computational complexity while ensuring the ability to estimate the two-dimensional target scattering centers.

Hand Gesture Recognition Using Ultrasonic Array with Machine Learning.

In the field of gesture recognition technology, accurately detecting human gestures is crucial. In this research, ultrasonic transducers were utilized for gesture recognition. Due to the wide beamwidth of ultrasonic transducers, it is difficult to effectively distinguish between multiple objects within a single beam.

Implementation of Smart Farm Systems Based on Fog Computing in Artificial Intelligence of Things Environments.

Cloud computing has recently gained widespread attention owing to its use in applications involving the Internet of Things (IoT). However, the transmission of massive volumes of data to a cloud server often results in overhead. Fog computing has emerged as a viable solution to address this issue.