Single photon γ-ray imaging with high energy and spatial resolution perovskite semiconductor for nuclear medicine.

Integrating semiconductor detectors with high energy and spatial resolution is vital for advancing nuclear medicine imaging. Perovskite semiconductors afford unprecedented opportunity for reshaping radiation detection technologies. Nevertheless, perovskite semiconductors have yet to prove their ability in single photon γ-ray imaging, which is essential for enabling nuclear medicine imaging.

The grand biological universe: A comprehensive geometric construction of genome space.

Analyzing the geometric relationships among genomic sequences from a mathematical perspective and revealing the laws hidden within these relationships is a crucial challenge in bioinformatics. The natural vector method constructs a genome space by extracting statistical moments of -mers to illuminate the relationships among genomes. This approach highlights a fundamental law in biology known as the convex hull principle, which states that natural vectors corresponding to different types of biological sequences form distinct, non-overlapping convex hulls.

An Electron Beam Irradiation Postsynthetic Lanthanide-Based Metal-Organic Framework for Extraction of U(VI).

The development of highly efficient uranium adsorbents is pivotal for the sustainable advancement of nuclear energy. In this study, we present an innovative electron beam (EB) irradiation-assisted postsynthetic modification (PSM) strategy to engineer defects within a lanthanide-based metal-organic framework, MOF-76, significantly enhancing its U(VI) adsorption capacity. Compared to pristine MOF-76, the EB-modified MOF-76 demonstrates a remarkable increase in uranium removal efficiency, achieving the highest removal rate at a cumulative radiation dose of 120 kGy─twice that of the pristine material.

Acid-sensing ion channel 1a promotes LPS-induced acute lung injury through the circRNA 18-658/miR-127-5p/TRIM72 axis.

Acute lung injury (ALI) is a serious disease with sudden onset, rapid progression, poor treatment response and high mortality. Acid-sensitive ion channels (ASICs) are a type of cation channel activated by extracellular acidification and are involved in the pathogenesis of inflammatory and immune diseases. Our previous research revealed that ASIC1a promotes ALI, but the specific mechanism is unclear.

CAPE: a deep learning framework with Chaos-Attention net for Promoter Evolution.

Predicting the strength of promoters and guiding their directed evolution is a crucial task in synthetic biology. This approach significantly reduces the experimental costs in conventional promoter engineering. Previous studies employing machine learning or deep learning methods have shown some success in this task, but their outcomes were not satisfactory enough, primarily due to the neglect of evolutionary information.

Utilizing the codon adaptation index to evaluate the susceptibility to HIV-1 and SARS-CoV-2 related coronaviruses in possible target cells in humans.

Comprehensive identification of possible target cells for viruses is crucial for understanding the pathological mechanism of virosis. The susceptibility of cells to viruses depends on many factors. Besides the existence of receptors at the cell surface, effective expression of viral genes is also pivotal for viral infection.

kmer2vec: A Novel Method for Comparing DNA Sequences by word2vec Embedding.

The comparison of DNA sequences is of great significance in genomics analysis. Although the traditional multiple sequence alignment (MSA) method is popularly used for evolutionary analysis, optimally aligning sequences becomes computationally intractable when increases due to the intrinsic computational complexity of MSA. Despite numerous -mer alignment-free methods being proposed, the existing -mer alignment-free methods may not truly capture the contextual structures of the sequences.