Machine-Learning Models With Multiple Imputation With Sequential Nearest Neighbors Imputation for Predicting the Prognosis of Idiopathic Sudden Sensorineural Hearing Loss Patients.

Objectives: The prognosis of idiopathic sudden sensorineural hearing loss (ISSNHL) is heterogeneous. The study aimed to investigate the prognostic factors of ISSNHL and develop machine-learning models with multiple imputation to predict the prognosis of ISSNHL.

Design: A retrospective study was undertaken on a cohort of 600 patients with ISSNHL who underwent standardized treatment protocols.

Hybrid domain enhancement network for lightweight image super-resolution.

In recent years, with the rapid development of deep learning, convolutional neural network-based approaches for image super-resolution (SR) have made great progress. However, the majority of these methods have high computational complexity and substantial memory demands due to their deep and intricate network designs, which pose significant challenges for deployment on resource-constrained devices. In this paper, we propose a lightweight hybrid domain enhancement network (HDEN).

Modular Access to P(V)-Stereogenic Compounds via Cu-Catalyzed Desymmetrization of (Thio)Phosphonic Dichlorides.

Chiral phosphorus(V) centers-particularly those bearing fully heteroatom-substituted frameworks-are key stereochemical motifs in pharmaceuticals, nucleic acid therapeutics, and functional materials. However, their stereoselective construction remains a long-standing challenge in synthetic chemistry. Here, we report a copper-catalyzed desymmetrization strategy enabled by rationally engineered PIM ligands that affords broad and modular access to structurally diverse P(V)-stereogenic compounds.

 (Rosaceae), a new species with naturally occurring semi-double flowers from Hunan, China.

The semi-double () floral trait is highly valued in the field of horticulture, yet it remains exceptionally rare in wild plants. , a new species with naturally occurring semi-double flowers, is described and illustrated. This new species was discovered in the Nanyue Hengshan National Nature Reserve, Hunan Province, China.

Combination of brefeldin A and tunicamycin induces apoptosis in HepG2 cells through the endoplasmic reticulum stress-activated PERK-eIF2α-ATF4-CHOP signaling pathway.

Background And Aims: Hepatocellular carcinoma (HCC) is a malignant tumor with a high mortality rate, but there are still no effective treatments. The aim of this study was to investigate the anticancer potential of the combined use of brefeldin A (BFA) and tunicamycin (TM) in HepG2 cells, as well as the underlying mechanisms.

Methods: HepG2 cells were treated with different concentrations of BFA (0.

A Novel Neural Network Model Based on Real Mountain Road Data for Driver Fatigue Detection.

Mountainous roads are severely affected by environmental factors such as insufficient lighting and shadows from tree branches, which complicates the detection of drivers' facial features and the determination of fatigue states. An improved method for recognizing driver fatigue states on mountainous roads using the YOLOv5 neural network is proposed. Initially, modules from Deformable Convolutional Networks (DCNs) are integrated into the feature extraction stage of the YOLOv5 framework to improve the model's flexibility in recognizing facial characteristics and handling postural changes.

Modular access to saturated bioisosteres of anilines via photoelectrochemical decarboxylative C(sp)-N coupling.

In drug development, the substitution of benzene rings in aniline-based drug candidates with saturated bridged bicyclic ring systems often enhances pharmacokinetic properties while preserving biological activity. However, current efforts predominantly focuses on bicyclo[1.1.

SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single-Cell Gene Expression.

The dynamics of chromatin conformation involve continuous and reversible changes within the nucleus of a cell, which participate in regulating processes such as gene expression, DNA replication, and damage repair. Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single-cell RNA sequencing data and a limited number of single-cell Hi-C maps. SEE is employed to investigate chromatin dynamics across different scales, enabling the detection of (i) rearrangements in topologically associating domains (TADs), and (ii) oscillations in chromatin interactions at gene loci.

Ligand-Enabled Cu-Catalyzed Stereoselective Synthesis of P-Stereogenic ProTides.

Nucleoside analogues have seen significant advancements in treating viral infections and cancer through ProTide technology, leading to a series of FDA-approved drugs such as sofosbuvir, tenofovir alafenamide, and remdesivir. The stereochemical configuration at the phosphorus center of ProTides significantly influences their pharmacological properties, necessitating efficient stereoselective synthesis. Traditional methods using chiral auxiliaries or nonracemic phosphorylating agents are labor-intensive and inefficient, while recent organocatalytic approaches, despite their promise, still face limitations.

Bio-inspired bimetallic models for electrochemical CO reduction.

Inspired by the carbon monoxide dehydrogenase (CODH) active site where two metal ions synergistically catalyze the interconversion between CO and CO, we have developed a family of rhenium dipyridine derivatives (1-3), in which potassium 1-aza-18-crown-6-ether (KN18C6) moiety functions as a Lewis acid to assist the CO reduction reaction (). We found that such design leads to dramatically strong deposition on the electrode under CO in the presence of potassium cation, and a clear trend for the deposition rate was observed following the flexibility of linkage between the framework and the KN18C6 moiety; the more flexible, the faster. The origin of deposition was further characterized by a series of control experiments and infrared spectroelectrochemistry ().

Catgut embedding in acupoints combined with repetitive transcranial magnetic stimulation for the treatment of postmenopausal osteoporosis: study protocol for a randomized clinical trial.

Background: To date, the clinical modulation for bone metabolism based on the neuro-bone mass regulation theory is still not popular. The stimulation of nerve systems to explore novel treatments for Postmenopausal osteoporosis (PMOP) is urgent and significant. Preliminary research results suggested that changes brain function and structure may play a crucial role in bone metabolism with PMOP.

The arousal effect of An-Gong-Niu-Huang-Wan on alcoholic-induced coma rats: A research based on EEG.

Ethnopharmacological Relevance: Acute alcohol intoxication is one of the leading causes of coma. A well-regarded Chinese herbal formula, known as An-Gong-Niu-Huang-Wan (AGNHW), has garnered recognition for its efficacy in treating various brain disorders associated with impaired consciousness, including acute alcohol-induced coma. Despite its clinical effectiveness, the scientific community lacks comprehensive research on the mechanistic aspects of AGNHW's impact on the electroencephalogram (EEG) patterns observed during alcohol-induced coma.

Biased Bowl-Direction of Monofluorosumanene in the Solid State.

A new curved π-conjugated molecule 1-fluorosumanene () was designed and synthesized that possesses one fluorine atom on the benzylic carbon of sumanene. This compound can exhibit bowl inversion in solution, leading to the formation of two diastereomers, and , with different dipole moments. Experimental and theoretical investigation revealed an energetical relationship among , , and solvent to realize the various : ratios in the single crystals of depending on the crystallization solvent.

Electrochemical CO Reduction by Urea Hangman Mn Terpyridine species.

Based on our previous study in chemical subtleties of the proton tunneling distance for metal hydride formation (PTD-MH) to regulate the selectivity of CO reduction reaction (CORR), we have developed a family of Mn terpyridine derivatives, in which urea groups functions as multipoint hydrogen-bonding hangman to accelerate the reaction rate. We found that such changes to the second coordination sphere significantly increased the turnover frequency (TOF) for CO reduction to ca. 360 with this family of molecular catalysts while maintaining high selectivity (ca.

Deep Learning Enabled SERS Identification of Gaseous Molecules on Flexible Plasmonic MOF Nanowire Films.

Through the capture of a target molecule at the metal surface with a highly confined electromagnetic field induced by surface plasmon, surface enhanced Raman spectroscopy (SERS) emerges as a spectral analysis technology with high sensitivity. However, accurate SERS identification of a gaseous molecule with low density and high velocity is still a challenge due to its difficulty in capture. In this work, a flexible paper-based plasmonic metal-organic framework (MOF) film consisting of Ag nanowires@ZIF-8 (AgNWs@ZIF-8) is fabricated for SERS detection of gaseous molecules.

Multi-scale feature selection network for lightweight image super-resolution.

Recently, many super-resolution (SR) methods based on convolutional neural networks (CNNs) have achieved superior performance by utilizing deep and heavy models, which may not be suitable for real-world low-budget devices. To address this issue, we propose a novel lightweight SR network called a multi-scale feature selection network (MFSN). As the basic building block of MFSN, the multi-scale feature selection block (MFSB) is presented to extract the rich multi-scale features from a coarse-to-fine receptive field level.

Cells of the renin lineage promote kidney regeneration post-release of ureteral obstruction in neonatal mice.

Aim: Ureteral obstruction leads to significant changes in kidney renin expression. It is unclear whether those changes are responsible for the progression of kidney damage, repair, or regeneration. In the current study, we aimed to elucidate the contribution of renin-producing cells (RPCs) and the cells of the renin lineage (CoRL) towards kidney damage and regeneration using a model of partial and reversible unilateral ureteral obstruction (pUUO) in neonatal mice.

Altered gut microbiota profile in patients with perimenopausal panic disorder.

Introduction: Females in the perimenopausal period are susceptible to mood disorders. Perimenopausal panic disorder (PPD) is characterized by repeated and unpredictable panic attacks during perimenopause, and it impacts the patient's physical and mental health and social function. Pharmacotherapy is limited in the clinic, and its pathological mechanism is unclear.

A 3-D Chromosome Structure Reconstruction Method With High Resolution Hi-C Data Using Nonlinear Dimensionality Reduction and Divide-and-Conquer Strategy.

Chromosomes are fundamental components of genetic material, and their structural characteristics play an essential role in the regulation of gene expression. The advent of high-resolution Hi-C data has enabled scientists to explore the three-dimensional structure of chromosomes. However, most of the currently available methods for reconstructing chromosome structures are unable to achieve high resolutions, such as 5 Kilobase (KB).

Calculating the spatial density of regulatory chromatin interactions using multi-modal datasets from the same cell line.

Here, we present a protocol for calculating the spatial density of regulatory chromatin interactions (SD-RCI) using Hi-C, ATAC-seq, and ChIP-seq datasets from the same cell line. We describe steps for selecting and preprocessing datasets, training and predicting a model to obtain regulatory chromatin interactions, and evaluating model performance. We then detail calculation of SD-RCI and visualization of the correlation between SD-RCI and gene expression.

Phylogenomics and integrative taxonomy reveal two new species of (Liliaceae).

Until now the genus (Liliaceae), known as 'East Asian tulips', has contained just seven species. In this study, a phylogenomic and integrative taxonomic approach was used to reveal two new species, from Central China and from East China. resembles in possessing a densely villous-woolly bulb tunic and two opposite bracts, but differs in its leaves and anthers.

MINE is a method for detecting spatial density of regulatory chromatin interactions based on a multi-modal network.

Chromatin interactions play essential roles in chromatin conformation and gene expression. However, few tools exist to analyze the spatial density of regulatory chromatin interactions (SD-RCI). Here, we present the multi-modal network (MINE) toolkit, including MINE-Loop, MINE-Density, and MINE-Viewer.

Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China.

China has been subject to rapid urban expansion and afforestation since the economic reform in 1978. However, the influence of land use and cover changes (LUCCs) and human activities on landslide occurrence is often ignored in landslide susceptibility mapping and zonation (LSMZ). In this study, Enshi City, China, was selected as the study area because of dramatic LUCCs during the last two decades.

CASPIAN: A method to identify chromatin topological associated domains based on spatial density cluster.

With the development of Hi-C technology, the detection of topologically associated domains (TADs) boundaries plays an important role in exploring the relationship between gene structure and expression. However, a method that can identify accurate TAD boundaries from the Hi-C contact matrix with different resolutions is currently lacking. We proposed a method named CASPIAN that can identify chromatin TAD boundaries based on the spatial density clustering algorithm.