Superimposed Wavefront Imaging of Diffraction-enhanced X-rays: sparsity-aware CT reconstruction from limited-view projections.

Purpose: In this paper, we describe an algebraic reconstruction algorithm with a total variation regularization (ART + TV) based on the Superimposed Wavefront Imaging of Diffraction-enhanced X-rays (SWIDeX) method to effectively reduce the number of projections required for differential phase-contrast CT reconstruction.

Methods: SWIDeX is a technique that uses a Laue-case Si analyzer with closely spaced scintillator to generate second derivative phase-contrast images with high contrast of a subject. When the projections obtained by this technique are reconstructed, a Laplacian phase-contrast tomographic image with higher sparsity than the original physical distribution of the subject can be obtained.

Mechanistic Insight into the Enantioselective Degradation of Esterase QeH to ()/()-Quizalofop-Ethyl with Molecular Dynamics Simulation Using a Residue-Specific Force Field.

The enantioselective mechanism of the esterase QeH against the two enantiomers of quizalofop-ethyl (QE) has been primitively studied using computational and experimental approaches. However, it is still unclear how the esterase QeH adjusts its conformation to adapt to substrate binding and promote enzymrate interactions and catalytic dynamics were reproduced by performing independent molecular dynamics (MD) runs on the QeH-()/()-QE complexes with a newly developed residue-specific force field (RSFF2C). Our results indicated that the benzene ring of the ()-QE structure can simultaneously form anion-π and cation-π interactions with the side-chain group of Glu328 and Arg384 in the binding cavity of the QeH-()-QE complex, resulting in ()-QE being closer to its catalytic triplet system (Ser78-Lys81-Tyr189) with the distances measured for the hydroxyl oxygen atom of the catalytic Ser78 of QeH and the carbonyl carbon atom of ()-QE of 7.

Identification of Novel Regulators of Leaf Senescence Using a Deep Learning Model.

Deep learning has emerged as a powerful tool for investigating intricate biological processes in plants by harnessing the potential of large-scale data. Gene regulation is a complex process that transcription factors (TFs), cooperating with their target genes, participate in through various aspects of biological processes. Despite its significance, the study of gene regulation has primarily focused on a limited number of notable instances, leaving numerous aspects and interactions yet to be explored comprehensively.

Intraday relations between physical activity and energy intake among behavioral weight loss participants.

Objective: Weight loss results from a negative energy balance, when energy intake (EI) is less than energy expended, e.g., from physical activity (PA).

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes associated with specific actions and, over time, learns which actions yield a desired outcome. RL is increasingly utilized to optimize medical treatments (e.

Ring artifact removal for differential phase-contrast X-ray computed tomography using a conditional generative adversarial network.

Purpose: The integration process used as a pre-processing step in the reconstruction of differential phase-contrast X-ray CT (d-PCCT) causes the measurement noise to propagate throughout the projection image, which is leading to increased ring artifacts (RA) in the reconstructed image. It is difficult to eliminate the RA using conventional RA removal methods that were developed for the absorption-based CT field. We propose an effective method that can remove RA of d-PCCT images.

Computational and Experimental Approaches to Decipher the Binding Mechanism of General Odorant-Binding Protein 2 from to Chlorpyrifos and Phoxim.

Insect resistance to insecticides is an increasingly serious problem, and the resistant mechanisms are complicated. The resistance research based on the chemosensory pathway is one of the hot problems at present, but the specific binding mechanism of chemosensory genes and insecticides remains elusive. The binding mechanism of GOBP2 (belong to insect chemosensory gene) with two insecticides was investigated by computational and experimental approaches.

miR-101 suppresses colon cancer cell migration through the regulation of EZH2.

Background: colorectal cancer (CRC) is one of the most prevalent types of malignancies worldwide. The incidence of CRC is steadily increasing due to extended life expectancy and aging-related genetic and epigenetic abnormalities. Dysregulation of microRNAs (miRNAs) has been implicated in CRC development.

Complete mitogenome of Parum colligata (Lepidoptera: Sphingidae) and its phylogenetic position within the Sphingidae.

In this study, the complete mitochondrial DNA sequence of Parum colligata (Lepidoptera: Sphingidae: Smerinthinae) was sequenced firstly. The mitogenome is 15,288 bp in size, containing 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs), and an A+T-rich region. In the mitogenome, Ile, Leu2, and Phe are the most frequently used codon families, while codons GCG, TGC, GGC, CTG, AGG, and ACG are absent.

[Inhibition of the replication of H9N2 influenza virus in vivo by short-term repeated oral administration of chicken interferon α].

To evaluate the optimal administration frequency for interferon-α (IFN-α) and the effect of its combined use with inactive virus on chicken flocks, the prokaryotic expression plasmid pET-22b-ChIFN-α was constructed and transferred into Escherichia coli BL21(DE3) host bacteria to induce the expression of chicken IFN-α and to harvest recombinant proteins inclusion bodies. The expression of recombinant chicken IFN-α was confirmed by SDS-PAGE, and the results demonstrated that the chicken IFN-α (20 kDa) was highly expressed using the prokaryotic expression vector with a concentration of 0.2 mg/mL in the medium.

Mitochondrial genome characteristics of Somena scintillans (Lepidoptera: Erebidae) and comparation with other Noctuoidea insects.

In this study, mitogenome of Somena scintillans (Lepidoptera: Erebidae) were sequenced and compared with other Noctuoidea species. The mitogenome is 15,410 base pairs in length. All 13 protein-coding genes (PCGs) are initiated by ATN codons except cox1 with CGA and all of PCGs terminate with TAA except nad4 with TAG.

Chiral Photonic Crystalline Microcapsules with Strict Monodispersity, Ultrahigh Thermal Stability, and Reversible Response.

Tunable photonic crystals (TPCs) reflecting selected wavelengths of visible light and responding to external stimuli are widely applied to fabricate smart optical devices. Chiral nematic liquid crystals (CNLCs) possessing response to temperature, electric field, and magnetic field are considered as one-dimensional TPCs. The encapsulation of CNLCs provides responsive photonic devices with stand-alone macroscopic structure and excellent processability.

Complete mitochondrial genome of Cramer (Lepidoptera: Zygaenidae).

Cramer, found in India, Chinese, Burma, Indonesia and other Southeast Asian regions, belongs to Lepidoptera family Zygaenidae. In this study, we describe the genomic features of the mitogenome sequences of these insects. The mitogenome of Cramer is 15,205 bp long consisting a typical set of genes (13 protein-coding genes, 22 tRNA genes and two rRNA genes) and one major 376 bp non-coding A + T-rich region.

Impacts of mutation effects and population size on mutation rate in asexual populations: a simulation study.

Background: In any natural population, mutation is the primary source of genetic variation required for evolutionary novelty and adaptation. Nevertheless, most mutations, especially those with phenotypic effects, are harmful and are consequently removed by natural selection. For this reason, under natural selection, an organism will evolve to a lower mutation rate.