Effects of Macro Fibers on Crack Opening Reduction in Fiber Reinforced Concrete Overlays.

Macro fibers have been extensively used in the construction of various concrete structures, including bridges, dams, tunnels, industrial floors, and pavements. However, their effectiveness in reducing crack opening widths in concrete pavements has not been fully explored. This study aims to delineate the role of fibers by identifying the optimal types and volumes for effectively controlling cracks in concrete pavement structures, particularly in thin overlays.

A Moderating Role of Gender in Online Health Information Seeking Behaviors for Colorectal Cancer Knowledge among Korean Americans Aged 50 to 75 Years.

Korean Americans have consistently reported the underutilization of colorectal cancer (CRC) screening, despite their high rates of CRC incidence and mortality. Research has indicated suboptimal CRC knowledge in Korean Americans as one of the main barriers to their recommended CRC screening. Also, research has shown the potential of online health information seeking (OHIS) to improving cancer knowledge and the gender-based differences in the link between OHIS and cancer knowledge.

Associations between Multiple Health Indicators and Carotid Artery Intima-Media Thickness in A Healthy and Active Elderly Population.

The purpose of this study was to examine correlations between health indicators (age, BMI, blood pressure (BP), functional strength (FS), handgrip strength, and predicted VO max) and carotid intima-media thickness (cIMT) in an active 50 years+ population. Study participants' mean cIMT was also compared to the cIMT mean of the general population. Health screenings were conducted on 1818 participants at the Huntsman World Senior Games from 2016 to 2019.

Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion.

Compressive sensing is a sub-Nyquist sampling technique for efficient signal acquisition and reconstruction of sparse or compressible signals. In order to account for the sparsity of the underlying signal of interest, it is common to use sparsifying priors such as Bernoulli-Gaussian-inverse Gamma (BGiG) and Gaussian-inverse Gamma (GiG) priors on the components of the signal. With the introduction of variational Bayesian inference, the sparse Bayesian learning (SBL) methods for solving the inverse problem of compressive sensing have received significant interest as the SBL methods become more efficient in terms of execution time.

Total Synthesis and Biological Evaluation of Clavatadines C-E.

We described herein the application of a convergent and protecting-group avoidant approach that led to the first total synthesis of the marine natural products clavatadine D () and E (), and the second total synthesis of clavatadine C (). In each case, a key amide-coupling afforded an immediate precursor of each natural product in a rapid manner from structurally similar western and eastern portions that derived from an ester of l-tyrosine and butane-1,4-diamine, respectively. A deprotection step free of detectable byproducts cleanly provided the remaining known members of the clavatadine family of natural products.

Past experiences with surprise medical bills drive issue knowledge, concern and attitudes toward federal policy intervention.

Scholars and journalists have devoted considerable attention to understanding the circumstances in which Americans receive surprise medical bills. Previous research on this issue has focused on the scope of the problem, including the conditions that are most likely to lead to surprise bills. However, the existing literature has almost exclusively relied on claims data, limiting our understanding of consumer experiences and attitudes toward policy changes to address surprise billing.

Fast filtered backprojection algorithm for low-dose computed tomography.

Low-dose computed tomography (CT) can produce noisy images that may contain streaking artifacts. Removal of streaking artifacts normally requires iterative algorithms that model the transmission noise physics. A fast filtered backprojection (FBP) algorithm is introduced in this short paper.

Hybrid-Lipid Bilayers Induce -Alkyl-Chain Order in Reversed-Phase Chromatographic Surfaces, Impacting their Shape Selectivity for Aromatic Hydrocarbon Partitioning.

Shape selectivity is important in reversed-phase liquid chromatographic separations, where stationary phases are capable of separating geometric isomers, thereby resolving solutes based on their three-dimensional structure or shape rather than other chemical differences. Numerous chromatographic studies have been carried out using -alkyl-chain-modified columns to understand how molecular shape affects retention. For polycyclic aromatic hydrocarbons (PAHs), it was found that planar compounds were selectively retained over nonplanar structures of comparable molecular weight on surfaces with longer -alkyl chains, higher chain-density, or at lower temperatures, where selectivity likely arises with greater ordering of the -alkyl chains.

Iterative versus non-iterative image reconstruction methods for sparse magnetic resonance imaging.

Magnetic resonance imaging (MRI) using under-sampled k-space data is a common method to shorten the imaging time. Iterative Bayesian algorithms are usually used for its image reconstruction. This paper compares an iterative Bayesian image reconstruction method that uses both spatial and temporal constraints and a non-iterative reconstruction algorithm that does not use temporal constraints.

Projection-domain iteration to estimate unreliable measurements.

Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. Metal artifact correction methods are usually sophisticated and not practical, especially in some non-medical applications, in which the linear attenuation coefficients are unknown. This paper suggests a simple and effective algorithm to estimate the unreliable measurements.

A discrete emotion with discrete effects: effects of anger on depth of information processing.

There is relative paucity in the comprehensive study of anger and information processing. Emotions can impact the depth of information processing and anger is a powerful high-certainty emotion. Yet, the magnitude of the effects of anger on the depth of information processing has not been summarized.

Pre-filter that incorporates the noise model.

A linear denoising filter is usually of lowpass type, and the main parameter in a lowpass filter is the cutoff frequency. The lowpass filters are normally shift invariant and can be implemented as convolution in the spatial domain or as multiplication in the Fourier domain. This paper presents a linear filter that is not characterized by its cutoff frequency but is characterized by the noise model.

Poisson-noise weighted filter for time-of-flight positron emission tomography.

Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for this task. The conventional noise control method for analytic image reconstruction is the use of a stationary lowpass filter, which does not model the Poisson noise properly.

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors.

The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints. This paper proposes a non-iterative algorithm to estimate the un-measured data and then to reconstruct the image with the efficient filtered backprojection algorithm.

Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case.

In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms.

Sparse-view tomography via displacement function interpolation.

Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image that is better than the naïve filtered backprojection (FBP) reconstruction that uses linear interpolation to complete the measurements.

Total Synthesis of Clavatadine B.

The first total synthesis of clavatadine B (), a natural product found to be a selective human blood coagulation factor XIa inhibitor, is described. A convergent approach that exemplifies the advantages of direct, early stage guanidinylation provided an immediate clavatadine B precursor, which was assembled in an efficient manner using known synthetic precursors of the structurally related natural product clavatadine A (). Global deprotection cleanly provided clavatadine B in only four steps from a known derivative of homogentisic acid lactone (longest linear sequence, 75% overall yield).

Recent developments in spontaneous Raman imaging of living biological cells.

Raman spectroscopy is a non-invasive optical technique for measuring chemical information from samples including biological cells. With its high sensitivity and compatibility with in vitro samples, Raman spectroscopy is increasing in popularity as a tool for acquiring chemical images of cellular samples in fields including parasitology, pharmacology, and oncology. This review describes emerging technologies that are improving the speed, resolution, and impact of Raman imaging techniques.

Astaxanthin Ameliorates Lipopolysaccharide-Induced Neuroinflammation, Oxidative Stress and Memory Dysfunction through Inactivation of the Signal Transducer and Activator of Transcription 3 Pathway.

Astaxanthin (AXT), a xanthophyll carotenoid compound, has potent antioxidant, anti-inflammatory and neuroprotective properties. Neuroinflammation and oxidative stress are significant in the pathogenesis and development of Alzheimer's disease (AD). Here, we studied whether AXT could alleviate neuroinflammation, oxidative stress and memory loss in lipopolysaccharide (LPS) administered mice model.

Zones, spots, and planetary-scale waves beating in brown dwarf atmospheres.

Brown dwarfs are massive analogs of extrasolar giant planets and may host types of atmospheric circulation not seen in the solar system. We analyzed a long-term Spitzer Space Telescope infrared monitoring campaign of brown dwarfs to constrain cloud cover variations over a total of 192 rotations. The infrared brightness evolution is dominated by beat patterns caused by planetary-scale wave pairs and by a small number of bright spots.

Unexpected Early Triassic marine ecosystem and the rise of the Modern evolutionary fauna.

In the wake of the end-Permian mass extinction, the Early Triassic (~251.9 to 247 million years ago) is portrayed as an environmentally unstable interval characterized by several biotic crises and heavily depauperate marine benthic ecosystems. We describe a new fossil assemblage-the Paris Biota-from the earliest Spathian (middle Olenekian, ~250.

Inhibitory effect of punicalagin on lipopolysaccharide-induced neuroinflammation, oxidative stress and memory impairment via inhibition of nuclear factor-kappaB.

Neuroinflammation is significant in the pathogenesis and development of Alzheimer's disease (AD). Previously, we showed lipopolysaccharide (LPS)-induced neuroinflammation caused memory impairment. We investigated the possible preventive effects of punicalagin (PUN), a component of pomegranate, on memory deficiency caused by LPS, along with the fundamental mechanisms.

Piperlongumine inhibits lung tumor growth via inhibition of nuclear factor kappa B signaling pathway.

Piperlongumine has anti-cancer activity in numerous cancer cell lines via various signaling pathways. But there has been no study regarding the mechanisms of PL on the lung cancer yet. Thus, we evaluated the anti-cancer effects and possible mechanisms of PL on non-small cell lung cancer (NSCLC) cells in vivo and in vitro.

A chemical specialty semantic network for the Unified Medical Language System.

Background: Terms representing chemical concepts found the Unified Medical Language System (UMLS) are used to derive an expanded semantic network with mutually exclusive semantic types. The UMLS Semantic Network (SN) is composed of a collection of broad categories called semantic types (STs) that are assigned to concepts. Within the UMLS's coverage of the chemical domain, we find a great deal of concepts being assigned more than one ST.