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Aiming at the problems of mismatching and low matching efficiency in the process of monocular initialization of visual SLAM, this paper proposes an improved initialization method. Based on the ORB-SLAM2 algorithm, the concept of probability statistics is introduced in its monocular initialization process. By adding a moving grid before the RANSAC algorithm eliminates the mismatching, the region where the feature matching is most likely to be true is found, and the mismatching is eliminated in this region. Finally, a geometric constraint is carried out to retain the correct matching to the greatest extent, thus speeding up the feature matching and retaining more interior points. In this paper, the improved ORB-SLAM2 algorithm is verified in the TUM data set. The experimental results show that the initialization time of the improved algorithm is reduced and the trajectory accuracy is improved. Applying the improved algorithm to the AGV car has good accuracy and robustness in the real factory environment.

Fluorescent‐magneto nanoemitters have gained considerable attention for their applications in mechanical controlling‐assisted optical signaling. However, the incompatibility between magnetic and fluorescent components often leads to functional limitations in traditional magneto@fluorescence nanostructure. Herein, we introduce a new compact‐discrete spatial arrangement on a “fluorescence@magneto” core–shell nanostructure consisting of a close‐packed aggregation‐induced emission luminogen (AIEgen) core and a discrete magnetic shell. This structural design effectively eliminates the optical and magnetic interferences between the dual components by facilitating AIEgens loading in core region and reducing the magnetic feeding amount through effective exposure of the magnetic units. Thereby, the resulting magneto‐AIEgen nanoparticle (MANP) demonstrates “win‐win” performances: (i) high fluorescent intensity contributed by AIEgens stacking‐enhanced photoluminescence and reduced photons loss from the meager magnetic shell; (ii) marked magnetic activity due to magneto extraposition‐minimized magnetic shielding. Accordingly, the dual functions‐retained MANP provides a proof of concept for construction of an immunochromatographic sensing platform, where it enables bright fluorescent labeling after magnetically enriching and separating procalcitonin and lipoarabinomannan in clinical human serum and urine, respectively, for the clinical diagnosis of bacterial infections‐caused inflammation and tuberculosis. This study not only inspires the rational design of magnetic‐fluorescent nanoemitter but also highlights promising potential in magneto‐assisted point‐of‐care test and biomedicine applications. A new compact‐discrete spatial arrangement is introduced on a “fluorescence@magneto” core‐shell nanostructure with a close‐packed AIEgen core and a meager magnetic shell. The rational design endows the magneto‐AIE nanoparticle (MANP) with “win‐win” performances: highly retained fluorescent intensity and remarkedly enhanced magnetic activity. The MANP demonstrates great potential in ultrasensitive point‐of‐care bacterial infection diagnosis on the immunochromatographic assay platform.

Significance: Photothrombotic stroke is an important and widely used model for ischemic stroke research. However, the significant scattering of the skull during the procedure limits the light’s ability to penetrate and focus on its target. Targeted photothrombosis uses surgery-based skull windows to obtain optical access to the brain, but it renders the brain’s environment unnatural even before a stroke is established. Aim: To establish a targeted, controllable ischemic stroke model in mice through an intact skull. Approach: The in vivo skull optical clearing technique provides a craniotomy-free “optical window” that allows light to penetrate. Alongside the local photodynamic effect, we have established targeted photothrombosis without skull removal, effectively controlling the degree of thrombotic occlusion by changing the light dose. Results: Ex vivo and in vivo results demonstrated that skull optical clearing treatment significantly enhanced light’s ability to penetrate the skull and focus on its target, contributing to thrombotic occlusion. The skull optical clearing window was also used for continuous blood flow mapping, and the relationship between light dose and injury degree was evaluated over 14 days of monitoring. Per our findings, increasing the light dose was accompanied by more severe infarction, indicating that the model was easily controllable. Conclusions: Herein, a targeted, controllable ischemic stroke model was established by combinedly running an in vivo skull optical clearing technique and a photothrombotic procedure, avoiding unnecessary damage or environmental changes to the brain caused by surgery on the skull. Our established model should offer significant value to research on ischemic stroke.

Growing evidence shows that generation of reactive oxygen species (ROS) derived from antibiotic-induced metabolic perturbation contribute to antibiotic lethality. However, our knowledge of the mechanisms by which antibiotic-induced oxidative stress actually kills cells remains elusive. Here, we show that oxidation of dCTP underlies ROS-mediated antibiotic lethality via induction of DNA double-strand breaks (DSBs). Deletion of mazG-encoded 5-OH-dCTP–specific pyrophosphohydrolase potentiates antibiotic killing of stationary-phase mycobacteria, but did not affect antibiotic efficacy in exponentially growing cultures. Critically, the effect of mazG deletion on potentiating antibiotic killing is associated with antibiotic-induced ROS and accumulation of 5-OH-dCTP. Independent lines of evidence presented here indicate that the increased level of DSBs observed in the ΔmazG mutant is a dead-end event accounting for enhanced antibiotic killing. Moreover, we provided genetic evidence that 5-OH-dCTP is incorporated into genomic DNA via error-prone DNA polymerase DnaE2 and repair of 5-OH-dC lesions via the endonuclease Nth leads to the generation of lethal DSBs. This work provides a mechanistic view of ROS-mediated antibiotic lethality in stationary phase and may have broad implications not only with respect to antibiotic lethality but also to the mechanism of stress-induced mutagenesis in bacteria.

Background/Objectives: The prolonged M1-like pro-inflammatory polarization of macrophages is a key factor in the delayed healing of diabetic ulcers (DU). SIRT3, a primary mitochondrial deacetylase, has been identified as a regulator of inflammation and represents a promising new therapeutic target for DU treatment. Nonetheless, the efficacy of existing SIRT3 agonists remains suboptimal. Methods: Here, we introduce a novel compound, SZC-6, demonstrating promising activity levels. Results: SZC-6 treatment down-regulated the expression of inflammatory factors in LPS-treated RAW264.7 cells and reduced the proportion of M1 macrophages. Mitosox, IF, and JC-1 staining revealed that SZC-6 preserved cellular mitochondrial homeostasis and reduced the accumulation of reactive oxygen species. In vivo experiments demonstrated that SZC-6 treatment accelerated wound healing in diabetic mice. Furthermore, HE and Masson staining revealed increased neovascularization at the wound site with SZC-6 treatment. Tissue immunofluorescence results indicated that SZC-6 effectively decreased the proportion of M1-like cells and increased the proportion of M2-like cells at the wound site. We also found that SZC-6 significantly reduced MyD88, p-IκBα, and NF-χB p65 protein levels and inhibited the nuclear translocation of P65 in LPS-treated cells. Conclusions: The study concluded that SZC-6 inhibited the activation of the NF-χB pathway, thereby reducing the inflammatory response and promoting skin healing in diabetic ulcers. SZC-6 shows promise as a small-molecule compound for promoting diabetic wound healing.

Self-supervised denoising methods significantly enhance the signal-to-noise ratio in fluorescence neural imaging, yet real-time solutions remain scarce in high-speed applications. Here, we present the FrAme-multiplexed SpatioTemporal learning strategy (FAST), a deep-learning framework designed for high-speed fluorescence neural imaging, including in vivo calcium, voltage, and volumetric time-lapse imaging. FAST balances spatial and temporal redundancy across neighboring pixels, preserving structural fidelity while preventing over-smoothing of rapidly evolving fluorescence signals. Utilizing an ultra-light convolutional neural network, FAST enables real-time processing at speeds exceeding 1000 frames per second, substantially surpassing the acquisition rates of most high-speed imaging systems. We also introduce an intuitive graphical user interface that integrates FAST into standard imaging workflows, providing a real-time denoising tool for recorded neural activity and enabling downstream analysis in neuroscience research that requires millisecond-scale temporal precision, particularly in closed-loop studies. Noise in high-speed fluorescence imaging limits real-time analysis of neural dynamics. We present FAST, a lightweight deep-learning framework that leverages spatial-temporal redundancy for calcium, voltage, and volumetric imaging, enabling real-time denoising at >1000 fps.

Background The impact of atrial fibrillation (AF) among patients with amyloidosis on in‐hospital outcomes is not well‐established. We aimed to examine in‐hospital outcomes among patients admitted with a primary diagnosis of AF with and without amyloidosis. Methods and Results We queried the Nationwide Readmissions Database to compare the in‐hospital outcomes among AF patients with and without amyloidosis. Our study demonstrated that in‐hospital all‐cause mortality, adverse events, and 30‐day readmission were comparable between the two groups. Conclusions Patients with AF and concurrent amyloidosis did not have worse in‐hospital outcomes than those with AF alone. While there was an increasing trend of admission for atrial fibrillation with amyloidosis, patients with atrial fibrillation and concurrent amyloidosis did not have worse in‐hospital outcomes and adverse events than those with atrial fibrillation alone.

At microwave frequencies, radar cross-section (RCS) measurements are usually performed by placing the target in the far-field region of the antenna. The wavefront of the radiating field from the antenna can be approximated as planar, ensuring that the incident field and the power interact with the target independently of the antenna. However, for electrically large targets, the required distance becomes significant, posing challenges for implementation. Scaled-model RCS measurements offer an alternative solution. RCS measurements at terahertz and optical frequencies typically require a collimated beam as the source, where the intercepted power and RCS become dependent on the excitation. To address this dependency, researchers have proposed modifying the RCS definition to account for the intercepted power and to analytically formulate the scattering problem. However, such modifications require prior knowledge of the target’s geometry and material properties, which are often not readily available in practice. This also limits the study to only canonical targets. In this paper, we propose an alternative approach for modelling the intercepted power. The Gaussian beam is decomposed into a number of plane waves travelling to different directions using the theory of plane wave spectrum. The scattering problem is solved using the full-wave method of moment. Through theoretical proofs and numerical examples involving spheres and a non-canonical target, with a scaled-model aircraft, we demonstrate that the original RCS definition can serve as a good approximation for scaled measurements, provided that the beam waist is approximately four times the target’s dimensions. These findings provide valuable guidelines for radar engineers when performing scaled measurements using collimated beams. The results, which match those obtained from full-model measurements, enable us to predict the RCS of full-scale targets. This capability facilitates various target-related applications, such as target characterization, classification, detection, and even recognition.

Hospitalization has been associated with the development of sarcopenia. This study aimed to examine the new incidences of hospital sarcopenia, associated risk factors and health outcomes, as defined by internationally recognized diagnostic criteria in hospitalized older people. Pre-defined search terms were run through five databases. Six studies that assessed sarcopenia on two separate time points during hospitalization on older inpatients were included. Prevalence of sarcopenia varied from 14.1% to 55% depending on diagnostic criteria and cut-off points used. New sarcopenia occurred between 12% to 38.7% patients following hospitalization. Risk factors were older age, longer duration of bed rest, lower baseline body mass index, cognitive impairment and activities of daily living disability. None of the studies reported health outcomes associated with newly developed sarcopenia in hospital.