Evidence-based dietary recommendations for patients with psoriasis: A systematic review.

Psoriasis is a chronic recurrent inflammatory skin disease mediated by immune, genetic, and environmental factors. Numerous studies have demonstrated that the excessive consumption of certain pro-inflammatory foods, including alcohol, dairy products, high-sugar foods, and gluten, can exacerbate psoriasis. Thus, modifying one's dietary habits can alleviate psoriasis symptoms.

Early diagnosis of type 2 diabetes mellitus in patients with psoriasis: Construction of a multifactorial diagnostic model.

Background: Type 2 diabetes mellitus (T2DM) is a significant comorbidity of psoriasis that exerts a long-term detrimental effect on patients. Early T2DM detection in psoriasis patients is essential for timely medical intervention and the prevention of further complications.

Objective: To develop a diagnostic model and introduce a web-based calculator for assessing the risk of T2DM in patients with psoriasis.

Passivation of Perovskite Solar Cells with Natural Flavors: Roles of Hydrogen Bonding in Ion Migration and Moisture Resistance.

The passivation strategy is considered to be an essential approach for enhancing the efficiency and stability of perovskite solar cells (PSCs). Herein, based on density functional theory calculations and ab initio molecular dynamics simulations, we investigated the ion migration and moisture stability for MAPbI passivated with a Lewis base represented by natural molecules: cinnamaldehyde (CA) and anethole (AT). The results reveal that hydrogen bonding in different forms plays a significant role in both ion migration and moisture stability for surface passivation.

Neurosyphilis complicated by anti-γ-aminobutyric acid-B receptor encephalitis: A case report.

Background: Syphilis is an infectious disease caused by that can invade the central nervous system, causing encephalitis. Few cases of anti-N-methyl-D-aspartate receptor autoimmune encephalitis (AE) secondary to neurosyphilis have been reported. We report a neurosyphilis patient with anti-γ-aminobutyric acid-B receptor (GABAR) AE.

Identified Gefitinib Metabolism-Related lncRNAs can be Applied to Predict Prognosis, Tumor Microenvironment, and Drug Sensitivity in Non-Small Cell Lung Cancer.

Gefitinib has shown promising efficacy in the treatment of patients with locally advanced or metastatic EGFR-mutated non-small cell lung cancer (NSCLC). Molecular biomarkers for gefitinib metabolism-related lncRNAs have not yet been elucidated. Here, we downloaded relevant genes and matched them to relevant lncRNAs.

The Mechanisms of Ferroptosis and the Applications in Tumor Treatment: Enemies or Friends?

Ferroptosis, as a newly discovered non-apoptotic cell death mode, is beginning to be explored in different cancer. The particularity of ferroptosis lies in the accumulation of iron dependence and lipid peroxides, and it is different from the classical cell death modes such as apoptosis and necrosis in terms of action mode, biochemical characteristics, and genetics. The mechanism of ferroptosis can be divided into many different pathways, so it is particularly important to identify the key sites of ferroptosis in the disease.

SARS-CoV-2: The Monster Causes COVID-19.

Coronaviruses are viruses whose particles look like crowns. SARS-CoV-2 is the seventh member of the human coronavirus family to cause COVID-19 which is regarded as a once-in-a-century pandemic worldwide. It holds has the characteristics of a pandemic, which has broy -55ught many serious negative impacts to human beings.

Development of a Recognition System for Spraying Areas from Unmanned Aerial Vehicles Using a Machine Learning Approach.

Unmanned aerial vehicle (UAV)-based spraying systems have recently become important for the precision application of pesticides, using machine learning approaches. Therefore, the objective of this research was to develop a machine learning system that has the advantages of high computational speed and good accuracy for recognizing spray and non-spray areas for UAV-based sprayers. A machine learning system was developed by using the mutual subspace method (MSM) for images collected from a UAV.

Vision-Based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles.

The aim of this study was to design a navigation system composed of a human-controlled leader vehicle and a follower vehicle. The follower vehicle automatically tracks the leader vehicle. With such a system, a human driver can control two vehicles efficiently in agricultural operations.