A Zn-doped SbTe flexible thin film with decoupled Seebeck coefficient and electrical conductivity band engineering.

SbTe-based flexible thin films can be utilized in the fabrication of self-powered wearable devices due to their huge potential in thermoelectric performance. Although doping can significantly enhance the power factor value, the process of identifying suitable dopants is typically accompanied by numerous repeating experiments. Herein, we introduce Zn doping into thermally diffused p-type SbTe flexible thin films with a candidate dopant validated using the first-principles calculations.

A strategy for selective screening of dual-target bioactive compounds against hypertrophic scar through inhibiting angiotensin II type 1 receptor while stimulating type 2 receptor from Chinese herbs.

Background: Cutaneous hypertrophic scar is a fibro-proliferative hard-curing disease. Recent studies have proved that antagonists of angiotensin II type 1 receptor (ATR) and agonists of type 2 receptor (ATR) were able to relieve hypertrophic scar. Therefore, establishing new methods to pursue dual-target lead compounds from Chinese herbs is in much demand for treating scar.

PROTCROWN: A Manually Curated Resource of Protein Corona Data for Unlocking the Potential of Protein-Nanoparticle Interactions.

The emergence of the "Protein Corona" is a pivotal concept in bioinformatics and nanotechnology, crucial for understanding nanomedicine delivery and nanoparticle-biological entity interactions. After entering a biological fluid, such as blood, nanoparticles (NPs, such as nanomedical carriers) are quickly coated with proteins, forming a protein interface layer called the protein corona. An in-depth investigation into the protein corona is essential for elucidating the biological ramifications of NPs and their prospective applications within the medical field and beyond.

A comprehensive review of distribution, traditional use, phytochemistry and anticancer of the genus Goniothalamus.

Natural products (NPs) play a crucial role in drug discovery, with over 30% of recent FDA-approved drugs derived from them. Plants from the genus Goniothalamus, belonging to the Annonaceae family, have garnered significant interest as potential sources of active lead compounds. Over the past five decades, researchers have isolated 357 compounds from Goniothalamus species (GCs), which exhibit a wide range of pharmacological properties, including cytotoxicity, antibacterial, antifungal, antiplasmodial, antioxidant, and other activities.

Formation Dynamics of Thermally Stable 1D/3D Perovskite Interfaces for High-Performance Photovoltaics.

Direct understanding of the formation and crystallization of low-dimensional (LD) perovskites with varying dimensionalities employing the same bulky cations can offer insights into LD perovskites and their heterostructures with 3D perovskites. In this study, the secondary amine cation of N-methyl-1-(naphthalen-1-yl)methylammonium (M-NMA) and the formation dynamics of its corresponding LD perovskite are investigated. The intermolecular π-π stacking of M-NMA and their connection with inorganic PbI octahedrons within the product structures control the formation of LD perovskite.

Microorganism-Derived Bisindole Alkaloids With Anticancer Potential and Their Mechanisms: A Comprehensive Review.

Bisindole alkaloids constitute a significant class of natural compounds distinguished by their characteristic bisindole structure and renowned for their anticancer properties. Over the last six decades, researchers have isolated 425 microorganism-derived bisindole alkaloids (MDBAs). Among them, 187 MDBAs have demonstrated anticancer properties against various in vitro cancer cell lines, primarily by impeding the cell cycle, restraining cell proliferation, and inducing apoptosis and autophagy.

In-situ growing carbon nanotubes reinforced highly heat dissipative three-dimensional aluminum framework composites.

The demand for lightweight heat dissipation design in highly miniaturized and portable electronic devices with high thermal density is becoming increasingly urgent. Herein, highly thermal conductive carbon nanotubes (CNTs) reinforced aluminum foam composites were prepared by catalyst chemical bath and subsequent in-situ growth approach. The dense CNTs show the intertwined structure features and construct high-speed channels near the surface of the skeletons for efficient thermal conduction, promoting the transport efficiency of heat flow.

a novel typing gene offering enhanced resolution for pandemic species.

The gene , encoding the mannitol transporter subunit IICBA of the phosphotransferase system, was the core gene with the greatest variability in and could be used as a new typing marker in . To expand its application, we performed an evolutionary analysis and found that the gene was present in nine phyla, 371 genera, and 1,662 species of bacteria. It is commonly found in pathogenic species of , followed by , , etc.

Enhanced Gut-to-Liver Oral Drug Delivery via Ligand-Modified Nanoparticles by Attenuating Protein Corona Adsorption.

The development of effective oral drug delivery systems for targeted gut-to-liver transport remains a significant challenge due to the multiple biological barriers including the harsh gastrointestinal tract (GIT) environment and the complex protein corona (PC) formation. In this study, we developed ligand-modified nanoparticles (NPs) that enable gut-to-liver drug delivery by crossing the GIT and attenuating PC formation. Specifically, mesoporous silica nanoparticles (MSNs) were functionalized with peptides targeting the neonatal Fc receptor (FcRn), capitalizing on FcRn expression in the small intestine and liver for targeted drug delivery.

Heat wave exposure during pregnancy and neurodevelopmental delay in young children: A birth cohort study.

Introduction: Gestation is a critical period for fetal brain development, and extreme heat exposure during this stage may have adverse impact on neurodevelopment in children. However, current evidence is scarce.

Methods: We examined the associations between maternal exposure to heat wave during pregnancy and neurodevelopmental delay in young children in a birth cohort study of 67,453 child-mother pairs from Foshan, China.

Identification of key programmed cell death genes for predicting prognosis and treatment sensitivity in colorectal cancer.

Colorectal cancer (CRC) ranks third in global incidence and second in mortality. However, a comprehensive predictive model for CRC prognosis, immunotherapy response, and drug sensitivity is still lacking. Various types of programmed cell death (PCD) are crucial for cancer occurrence, progression, and treatment, indicating their potential as valuable predictors.

Metabolomic profiling identifies signatures and biomarkers linking air pollution to dementia risk: A prospective cohort study.

Exposure to air pollution has been associated with increased dementia. However, it remains unknown what specific metabolic mechanisms play a role in this relationship. We included 192,300 dementia-free participants from the UK Biobank cohort study.

Voting-ac4C:Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction.

RNA N4-acetylcytidine (ac4C) modification plays a crucial role in gene expression regulation. However, existing prediction methods face limitations in capturing RNA sequence features, particularly in handling sequence complexity and long-range dependencies. To enhance the accuracy of RNA-ac4C modification sites prediction, this study introduces, for the first time, the transformer-based RNAErnie pre-trained model, which deeply extracts semantic information from RNA sequences.

Comprehensive Analysis of the Association Between Sex Hormones and Body Mass Components Among Men Adults: Results From a Large Population-Based Study.

Background: As the human body ages, adverse body composition status such as sarcopenia and obesity become obvious phenotypes which can cause numerous health problems. We aimed to comprehensively investigate the association of sex hormones and body mass components in adult men of various age groups.

Methods: We analysed national representative population data from the US National Health and Nutrition Examination Survey.

A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes.

In current bioinformatics research, spatial transcriptomics (ST) as a rapidly evolving technology is gradually receiving widespread attention from researchers. Spatial domains are regions where gene expression and histology are consistent in space, and detecting spatial domains can better understand the organization and functional distribution of tissues. Spatial domain recognition is a fundamental step in the process of ST data interpretation, which is also a major challenge in ST analysis.

Revealing the Intrinsic Correlation between Cu Scales and Free Radical Chain Reactions in the Regulation of Catalytic Behaviour.

Defining the copper-based catalysts that are responsible for the catalytic behaviour of oil-paper insulation systems and implementing effective regulation are of great significance. Accelerated ageing experiments were conducted to reveal variations in copper scales and deterioration in insulation properties. As ageing progressed, TEM images demonstrated that copper species were adsorbed and aggregated on the fibre surface in the form of nanoparticles (NPs).

MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.

Inflammatory responses may lead to tissue or organ damage, and proinflammatory peptides (PIPs) are signaling peptides that can induce such responses. Many diseases have been redefined as inflammatory diseases. To identify PIPs more efficiently, we expanded the dataset and designed an ensemble learning model with manually encoded features.

Achieving High Thermoelectric Performance in Bi(Te, Se) Thin Film with (00)-Oriented by Incorporating Tellurization and Selenization Processes.

Flexible thermoelectric (TE) generators have received great attention as a sustainable and reliable option to convert heat from the human body and other ambient sources into electricity. This study provides a synthesis route that involves thermally induced diffusion to introduce Te and Se into Bi, fabricating an n-type Bi-Te-Se flexible thin film on a flexible substrate. This specific synthesis alters the crystal orientation (00) of the thin film, improving in-plane electrical transportation and optimizing carrier concentration.

Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes.

Background: Ductal carcinoma in situ (DCIS) of the breast is an early stage of breast cancer, and preventing its progression to invasive ductal carcinoma (IDC) is crucial for the early detection and treatment of breast cancer. Although single-cell transcriptome analysis technology has been widely used in breast cancer research, the biological mechanisms underlying the transition from DCIS to IDC remain poorly understood.

Results: We identified eight cell types through cell annotation, finding significant differences in T cell proportions between DCIS and IDC.

Associations between Changes in Exposure to Air Pollutants due to Relocation and the Incidence of 14 Major Disease Categories and All-Cause Mortality: A Natural Experiment Study.

Background: Though observational studies have widely linked air pollution exposure to various chronic diseases, evidence comparing different exposures in the same people is limited. This study examined associations between changes in air pollution exposure due to relocation and the incidence and mortality of 14 major diseases.

Methods: We included 50,522 participants enrolled in the UK Biobank from 2006 to 2010.

Plasma metabolomic signature of healthy lifestyle, structural brain reserve and risk of dementia.

Although the association between healthy lifestyle and dementia risk has been documented, the relationship between a metabolic signature indicative of healthy lifestyle and dementia risk and the mediating role of structural brain impairment remain unknown. We retrieved 136 628 dementia-free participants from UK Biobank. Elastic net regression was used to obtain a metabolic signature that represented lifestyle behaviours.

Machine Learning Enables Comprehensive Prediction of the Relative Protein Abundance of Multiple Proteins on the Protein Corona.

Understanding protein corona composition is essential for evaluating their potential applications in biomedicine. Relative protein abundance (RPA), accounting for the total proteins in the corona, is an important parameter for describing the protein corona. For the first time, we comprehensively predicted the RPA of multiple proteins on the protein corona.