Liquid Active Surface Growth: Explaining the Symmetry Breaking in Liquid Nanoparticles.

In our previous studies of metal nanoparticle growth, we have come to realize that the dynamic interplay between ligand passivation and metal deposition, as opposed to static facet control, is responsible for focused growth at a few active sites. In this work, we show that the same underlying principle could be applied to a very different system and explain the abnormal growth modes of liquid nanoparticles. In such a liquid active surface growth (LASG), the interplay between droplet expansion and simultaneous silica shell encapsulation gives rise to an active site of growth, which eventually becomes the long necks of nanobottles.

Bioinspired Adhesive Hydrogel Platform with Photothermal Antimicrobial, Antioxidant, and Angiogenic Properties for Whole-Process Management of Diabetic Wounds.

Diabetic wound healing remains a major challenge in modern medicine. The persistent inflammation and immune dysfunction hinder angiogenesis by producing excessive ROS and increasing the susceptibility to bacterial infection. In this study, we developed an integrated strategy for whole-process management of diabetic wounds based on a bioinspired adhesive hydrogel platform with hemostasis, photothermal antimicrobial, antioxidant, anti-inflammatory, and angiogenic properties.

A Density Functional Theory (DFT) Modeling Study of NO Reduction by CO over Graphene-Supported Single-Atom Ni Catalysts in the Presence of CO, SO, O, and HO.

The mechanisms of NO reduction by CO over nitrogen-doped graphene (N-graphene)-supported single-atom Ni catalysts in the presence of O, HO, CO, and SO have been studied via density functional theory (DFT) modeling. The catalyst is represented by a single Ni atom bonded to four N atoms on N-graphene. Several alternative reaction pathways, including adsorption of NO on the Ni site, direct reduction of NO by CO, decomposition of NO to NO followed by reduction of NO to N, formation of active oxygen radical O*, and reduction of O* by CO, were hypothesized and the energy barrier corresponding to each of the reaction steps was calculated using DFT.

Design, Synthesis, and Pharmacological Evaluation of Nonsteroidal Tricyclic Ligands as Modulators of GABA Receptors.

GABA receptors (GABARs) are the major elements of inhibitory neurotransmission in the central nervous system (CNS). They are established targets for regulation by endogenous brain neuroactive steroids (NASs) such as pregnanolone. However, the complexity of de novo synthesis of NAS derivatives has hindered attempts to circumvent the principal limitations of using endogenous NASs, including selectivity and limited oral bioavailability.

Enhancing Cannabichromenic Acid Biosynthesis in .

Cannabichromene (CBC), a valuable but extremely low-abundance component of cannabinoids in L., is known for its ability to promote neurogenesis. The scarcity of CBC in natural is primarily attributed to the inefficiency of the 1-deoxy-D-xylulose 5-phosphate/2-C-methyl-D-erythritol 4 phosphate (DOXP/MEP) and fatty acid metabolism pathways, along with the limited competitive advantage of cannabichromenic acid synthetase (CBCAS) compared to other cannabinoid synthases.

Designing Chiral Organometallic Nanosheets with Room-Temperature Multiferroicity and Topological Nodes.

Two-dimensional (2D) room-temperature chiral multiferroic and magnetic topological materials are essential for constructing functional spintronic devices, yet their number is extremely limited. Here, by using the chiral and polar HPP (HPP = 4-(3-hydroxypyridin-4-yl)pyridin-3-ol) as an organic linker and transition metals (TM = Cr, Mo, W) as nodes, we predict a class of 2D TM(HPP) organometallic nanosheets that incorporate homochirality, room-temperature magnetism, ferroelectricity, and topological nodes. The homochirality is introduced by chiral HPP linkers, and the change in structural chirality induces a topological phase transition of Weyl phonons.

Tb-based Metal-Organic Framework-Referenced Fluorescence Assay for Distinguishing Hydroquinone from Its Isomers and Subsequent Quantitative Visual Detection of Cu.

Hydroquinone (HQ) and copper ions (Cu) are categorized as environmental pollutants that are severely limited in water. Designing a selective assay for discriminating HQ from its two isomers and the convenient determination of Cu is of great importance. Herein, a Tb-based metal-organic framework (Tb-MOF) and HQ are assembled innovatively into a ratiometric fluorescence nanoprobe to selectively distinguish HQ and subsequent quantitative visual detection of Cu.

Photomediated One-Pot Multicomponent Cascade Reaction for the Synthesis of N-Acyl/Sulfonyl-α-Phosphonated-1,2,3,4-Tetrahydroisoquinoline via Twice Acyl/Sulfonyl Iminium Formation.

N-acyl/sulfonyl-α-phosphonated 1,2,3,4-tetrahydroiso-quinolines (THIQs) are highly important structural motifs in organic synthesis and drug discovery. However, the one-pot approach enabling direct difunctionalization of THIQs remains challenging. Herein we report a photomediated one-pot multicomponent cascade reaction to access N-acyl/sulfonyl-α-phosphonated THIQs via twice acyl/sulfonyl iminium.

Physical Restraint in a Pediatric Intensive Care Unit: A Cross-Sectional, Observational Study in China.

Background: Research data on the extent of and protocols related to physical restraint (PR) in pediatric intensive care units (PICUs) are scarce. Most previous studies in China on this topic have focused on the prevalence, reasons, and background of PR use among adult patients.

Purpose: This study was designed to delineate the application of PR and the factors associated with PR use in PICUs in China.

Illustration image style transfer method design based on improved cyclic consistent adversarial network.

To improve the expressiveness and realism of illustration images, the experiment innovatively combines the attention mechanism with the cycle consistency adversarial network and proposes an efficient style transfer method for illustration images. The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. Through a series of quantitative and qualitative experiments, high-quality style transfer is achieved, especially while retaining the original features of the illustration.

Decoupling evolution of water footprint of energy and its driving factors: Evidence from Northeast China.

Energy and water are interlinked and inseparable resources of vital importance to the survival and development of human society. Exploring the relationship between energy and water is of great practical significance for the sustainable development of resources. The uneven regional distribution of energy and water in China has exacerbated energy-related water shortages.

Targeted Theranostic Nanoprobes Assisted NIR-II Fluorescence Imaging-Guided Surgery Therapy for Alveolar Echinococcosis.

Alveolar echinococcosis (AE) is a serious parasitic infectious disease that is highly invasive and destructive to the liver and has a high mortality rate. However, currently, there is no effective targeted imaging and treatment method for the precise detection and therapy of AE. We proposed a new two-step targeting strategy (TSTS) for AE based on poly(lactic--glycolic acid) (PLGA).

Association of blood urea nitrogen with 28-day mortality in critically ill patients: A multi-center retrospective study based on the eICU collaborative research database.

Objective: Blood urea nitrogen (BUN) is a commonly used biomarker for assessing kidney function and neuroendocrine activity. Previous studies have indicated that elevated BUN levels are associated with increased mortality in various critically ill patient populations. The focus of this study was to investigate the relationship between BUN and 28-day mortality in intensive care patients.

Enhancing the visual environment of urban coastal roads through deep learning analysis of street-view images: A perspective of aesthetic and distinctiveness.

Urban waterfront areas, which are essential natural resources and highly perceived public areas in cities, play a crucial role in enhancing urban environment. This study integrates deep learning with human perception data sourced from street view images to study the relationship between visual landscape features and human perception of urban waterfront areas, employing linear regression and random forest models to predict human perception along urban coastal roads. Based on aesthetic and distinctiveness perception, urban coastal roads in Xiamen were classified into four types with different emphasis and priorities for improvement.

Protective effect of luteinizing hormone on frozen-thawed ovarian follicles and granulosa cells.

Ovarian tissue cryopreservation addresses critical challenges in fertility preservation for prepubertal female cancer patients, such as the lack of viable eggs and hormonal deficiencies. However, mitigating follicle and granulosa cell damage during freeze-thaw cycles remains an urgent issue. Luteinizing hormone (LH), upon binding to luteinizing hormone receptors (LHR) on granulosa cells, enhances estrogen synthesis and secretion, contributing to the growth of granulosa cells and follicles.

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy.

Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.

ADARp110 promotes hepatocellular carcinoma progression via stabilization of CD24 mRNA.

ADAR is highly expressed and correlated with poor prognosis in hepatocellular carcinoma (HCC), yet the role of its constitutive isoform ADARp110 in tumorigenesis remains elusive. We investigated the role of ADARp110 in HCC and underlying mechanisms using clinical samples, a hepatocyte-specific knock-in mouse model, and engineered cell lines. ADARp110 is overexpressed and associated with poor survival in both human and mouse HCC.

The mosquito evolves two types of prophenoloxidases with diversified functions.

Insect phenoloxidase, presented as an inactive precursor prophenoloxidase (PPO) in hemolymph, catalyzes melanin formation, which is involved in wound healing, pathogen killing, reversible oxygen collection during insect respiration, and cuticle and eggshell formation. Mosquitoes possess 9 to 16 PPO members across different genera, a number that is more than that found in other dipteran insects. However, the reasons for the redundancy of these PPOs and whether they have distinct biochemical properties and physiological functions remain unclear.

Fracture-healing effects of Rhizoma Musae ethanolic extract: An integrated study using UHPLC-Q-Exactive-MS/MS, network pharmacology, and molecular docking.

Background: Fracture disrupts the integrity and continuity of the bone, leading to symptoms such as pain, tenderness, swelling, and bruising. Rhizoma Musae is a medicinal material frequently utilized in the Miao ethnic region of Guizhou Province, China. However, its specific mechanism of action in treating fractures remains unknown.

Research on the ordering strategy problem in supply chain with profit allocation under two-level price-fluctuation sales.

This paper investigates optimal ordering strategies in supply chains under two-level price fluctuations and initial profit allocation. By utilizing Copula functions to model the complex relationship between fluctuating prices and uncertain demand, the study develops both continuous and discrete decision models for practical applications. A discrete algorithm is proposed to approximate the optimal solution, with its convergence rigorously proven.

Association between cardiometabolic index and overactive bladder in adult American women: A cross-sectional study.

Background: Overactive bladder (OAB) is a common disorder, particularly in women, and its symptoms, including urgency, frequency, and nocturia, can significantly affect quality of life. The cardiometabolic index (CMI) is a novel metabolic risk indicator that has been receiving more attention lately. This study investigated the association between CMI and OAB in adult women.

Classification and spatial characteristics of different development stages in China: Evidence from the contribution rate of production factors.

This paper aims to reveal the changing characteristics of the contribution rates of different production factors in China since the reform and opening up from two dimensions: stage and space. The study used national data from 1978 to 2021 and provincial data from 2000 to 2020, combined with methods such as C-D production function and spatial econometrics for analysis. Research has found that: (1) In terms of stage characteristics, during the structural adjustment stage (1978-1998), economic growth mainly relies on capital and labor input, and the contribution rate of land factors gradually decreases.

Effect of one dose of ceftriaxone during endotracheal intubation on the incidence of aspiration pneumonia in cerebral hemorrhage patients: A randomized, controlled, double-blind clinical study protocol.

Introduction: Patients with cerebral hemorrhage often require a tracheal intubation to protect the airway and maintain oxygenation. Due to the use of analgesic and sedative drugs during endotracheal intubation and the opening of the glottis may easily cause aspiration pneumonia. Ceftriaxone is a semi-synthetic third-generation cephalosporin with strong antimicrobial activity against most gram-positive and gram-negative bacteria.

Machine learning approach to student performance prediction of online learning.

Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. The ability to improve educational systems using data knowledge has driven the development of the field of educational data mining research. Here, this paper proposes a machine learning method for the prediction of student performance based on online learning.