The anti-melanoma roles and mechanisms of tricholoma isoflavone derivative CA028.

As a form of skin cancer, melanoma's incidence rate is continuing to rise globally. Therefore, there is an urgent need to find new agents to improve survival in melanoma patients. Isoflavones, a class of phytoestrogens, are primarily found in soy and other legumes.

Predicting grade II-IV bone marrow suppression in patients with cervical cancer based on radiomics and dosiomics.

Objective: The objective of this study is to develop a machine learning model integrating clinical characteristics with radiomics and dosiomics data, aiming to assess their predictive utility in anticipating grade 2 or higher BMS occurrences in cervical cancer patients undergoing radiotherapy.

Methods: A retrospective analysis was conducted on the clinical data, planning CT images, and radiotherapy planning documents of 106 cervical cancer patients who underwent radiotherapy at our hospital. The patients were randomly divided into training set and test set in an 8:2 ratio.

UPAMNet: A unified network with deep knowledge priors for photoacoustic microscopy.

Photoacoustic microscopy (PAM) has gained increasing popularity in biomedical imaging, providing new opportunities for tissue monitoring and characterization. With the development of deep learning techniques, convolutional neural networks have been used for PAM image resolution enhancement and denoising. However, there exist several inherent challenges for this approach.

Preparation and Luminescence Property Study of Red-Emitting NaY(PO):Eu,Li/K Phosphors with Excellent Thermal Stability for Light-Conversion Application.

A series of red-emitting phosphors, NaY(PO):xEu, have been synthesized by a high-temperature solid-phase method. The impact of the partial Li/K ion substitution on the crystal structure and photoluminescence (PL) performance of NaY(PO):0.75Eu phosphor have been investigated.

Advancing carbon neutrality in post-COP28 in Ghana: Examining the impact of foreign direct investment and governance indicators.

This paper investigates the efficacy of foreign direct investment (FDI) and governance quality in reducing the adverse impact of CO emissions in Ghana. To achieve this aim, panel data for the independent and control variables spanning from 2000 to 2022 were obtained from World Development Indicators database and World Governance Indicators. The data was analysed using the Fixed Generalised Least Squares (FGLS) and the Method of Moment Quantile Regression (MMQR) methods.

X-ray triggered scintillator versatile nanocatalytic platform for synergistic photodynamic/chemodynamic therapy.

Nanocatalysts with photodynamic therapy (PDT) and chemodynamic therapy (CDT) are excellent for tumor therapy. However, it is still challenging to achieve complete tumor eradication due to the drawbacks of limited penetration depth of intratumoural tissues, hypoxia and complexity of the tumor microenvironment (TME). Herein, we fabricated an integrated multifunctional nanoreactor (LuAG:Tb/Ce-RB@ZIF-8-AuPt-HA, LRZAPH) combining scintillating nanoparticles (SCNPs, LuAG:Tb/Ce), a metal-organic framework (ZIF-8), and bimetallic AuPt for X-ray-triggered PDT and dual noble-metal nanozyme catalyzed CDT.

Omnidirectional image super-resolution via position attention network.

For convenient transmission, omnidirectional images (ODIs) usually follow the equirectangular projection (ERP) format and are low-resolution. To provide better immersive experience, omnidirectional image super resolution (ODISR) is essential. However, ERP ODIs suffer from serious geometric distortion and pixel stretching across latitudes, generating massive redundant information at high latitudes.

DeforT: Deformable transformer for visual tracking.

Most trackers formulate visual tracking as common classification and regression (i.e., bounding box regression) tasks.

Deciphering the antidepressant effects of Rosa damascena essential oil mediated through the serotonergic synapse signaling pathway.

Ethnopharmacological Relevance: Rosa damascena is an ancient plant with significance in both medicine and perfumery that have a variety of therapeutic properties, including antidepressant, anti-anxiety, and anti-stress effects. Rose damascena essential oil (REO) has been used to treat depression, anxiety and other neurological related disorders in Iranian traditional medicine. However, its precise mechanism of action remains elusive.

AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction.

Human motion prediction is the key technology for many real-life applications, e.g., self-driving and human-robot interaction.

Recent Advances in NIR or X-ray Excited Persistent Luminescent Materials for Deep Bioimaging.

Due to their persistent luminescence, persistent luminescent (PersL) materials have attracted great interest. In the biomedical field, the use of persistent luminescent nanoparticles (PLNPs) eliminates the need for continuous in situ excitation, thereby avoiding interference from tissue autofluorescence and significantly improving the signal-to-noise ratio (SNR). Although persistent luminescence materials can emit light continuously, the luminescence intensity of small-sized nanoparticles in vivo decays quickly.

Polymorphs of NbO Compound and Their Electrical Energy Storage Applications.

Niobium pentoxide (NbO), as an important dielectric and semiconductor material, has numerous crystal polymorphs, higher chemical stability than water and oxygen, and a higher melt point than most metal oxides. NbO materials have been extensively studied in electrochemistry, lithium batteries, catalysts, ionic liquid gating, and microelectronics. NbO polymorphs provide a model system for studying structure-property relationships.

The JAK/STAT/NF-κB signaling pathway can be regulated by rosemary essential oil, thereby providing a potential treatment for DNCB-induced in mice.

Objective: The purpose of this study was to investigate the mechanism through which rosemary essential oil treats atopic dermatitis.

Methods: A dinitrochlorobenzene (DNCB)-induced atopic dermatitis mouse model was established and treated with low (1%), medium (2%), and high (4%) doses of Rosmarinus officinalis essential oil (EORO). Serum levels of interleukin (IL)-6 and tumor necrosis factor-alpha (TNF-α) in each group were determined using enzyme-linked immunosorbent assay (ELISA).

Incentive or constraint? Comprehensive impacts of green credit policy on industrial energy intensity.

Green credit policy (GCP) has dual attributes of being both an "environmental regulation" and a "financial instrument". Understanding its role in facilitating industrial green transformation is crucial. However, there is limited theoretical and empirical evidence on the impact of GCP on industrial green transformation.

FAPbBr@PbBr(OH) phosphor with high stability for anti-counterfeiting application via water induction.

Organic-inorganic hybrid perovskite nanocrystals have become a very widely used as semiconductor light-emitting materials. However, perovskite nanocrystals face stability challenges, which is a key factor hindering their application. In this paper, by introducing water into the synthesis of formamidinium lead bromide (FAPbBr) perovskite, ultra-stable FAPbBr@PbBr(OH) fluorescent material was prepared.

Green industrial transition: Leveraging environmental innovation and environmental tax to achieve carbon neutrality. Expanding on STRIPAT model.

Anthropogenic global warming strategies on carbon mitigation are driven by encouraging green innovation and using carbon taxes, yet an empirical model to validate this is non-existing. Moreover, the existing stochastic effects by regression on population, wealth, and technology (STIRPAT) model has been found to lack policy tools on taxes and institutions that cut carbon emissions. This study amends the STIRPAT model with environmental technology, environmental taxes, and strong institutional frameworks to create a new model STIRPART(stochastic impacts by regression on population, affluence, regulation, and technology) to understand the factors impacting carbon pollution using the emerging 7 economies.

Robust fall detection in video surveillance based on weakly supervised learning.

Fall event detection has been a research hotspot in recent years in the fields of medicine and health. Currently, vision-based fall detection methods have been considered the most promising methods due to their advantages of a non-contact characteristic and easy deployment. However, the existing vision-based fall detection methods mainly use supervised learning in model training and require much time and energy for data annotations.

Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.

Purpose: Classifying the subtypes of non-small cell lung cancer (NSCLC) is essential for clinically adopting optimal treatment strategies and improving clinical outcomes, but the histological subtypes are confirmed by invasive biopsy or post-operative examination at present. Based on multi-center data, this study aimed to analyze the importance of extracted CT radiomics features and develop the model with good generalization performance for precisely distinguishing major NSCLC subtypes: adenocarcinoma (ADC) and squamous cell carcinoma (SCC).

Methods: We collected a multi-center CT dataset with 868 patients from eight international databases on the cancer imaging archive (TCIA).

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy.

Diabetic retinopathy (DR), one of the most common and serious complications of diabetes, has become one of the main blindness diseases. The retinal vasculature is the only part of the human circulatory system that allows direct noninvasive visualization of the body's microvasculature, which provides the opportunity to detect the structural and functional changes before DR becomes unable to intervene. For decades, as the fundamental step in computer-assisted analysis of retinopathy, retinal vascular extraction methods have been largely developed.

Impact of aging on food consumption in rural China: Implications for dietary upgrading and health improvement.

Background: The issue of population aging in rural China is getting profound; nevertheless, its impact on food consumption has not been well evaluated. This study aims to examine the relationship between rural aging and family food consumption in rural China.

Materials And Methods: Using the statistical yearbook data and the nationally representative household-level data from the China Rural Fixed Observation Points, this study compares the evolution of food consumption between rural and urban residents from 1985 to 2020 and analyzes the structure of food consumption expenditure of rural residents.

Multifunctional Bi NSs@BSA Nanoplatform Guided by CT Imaging for Effective Photothermal Therapy.

Photothermal therapy (PTT) has attracted great attention as an anticancer treatment strategy. With the rapid development of nanomedicine, multifunctional inorganic nanophotothermal agents provide a new way to improve the effect of PTT. Herein, bovine serum albumin (BSA)-modified Bi nanosheets (Bi NSs) with good biocompatibility were synthesized by a facile redox and ball milling method and applied as a photothermal agent for the enhancement of PTT.

X-ray triggered pea-shaped LuAG:Mn/Ca nano-scintillators and their applications for photodynamic therapy.

Photodynamic therapy (PDT) is a new minimally invasive technology for disease diagnosis and treatment. However, the biological tissue attenuation of visible light renders the depth of its penetration in tissues quite modest, which significantly restricts its therapeutic applicability. Therefore, it is an essential but yet a difficult task to enhance the X-ray sensitization impact while concurrently limiting the tissue scattering by the rational design of novel biological vectors.