Cinobufagin exerts an antitumor effect in non-small-cell lung cancer by blocking STAT3 signaling.

Non-small-cell lung cancer (NSCLC) is the most common histological subtype of lung cancer with significant morbidity and mortality rates worldwide. Cinobufagin, the primary component of Chansu and the major active ingredient of cinobufacini, has attracted widespread attention for its excellent anticancer effects, but its activity remains poorly characterized in NSCLC. The functions of cinobufagin treatment in anti-tumor was evaluated using various in vitro and in vivo assays.

An Internal Defect Detection Algorithm for Concrete Blocks Based on Local Mean Decomposition-Singular Value Decomposition and Weighted Spatial-Spectral Entropy.

Within the scope of concrete internal defect detection via laser Doppler vibrometry (LDV), the acquired signals frequently suffer from low signal-to-noise ratios (SNR) due to the heterogeneity of the concrete's material properties and its rough surface structure. Consequently, these factors make the defect signal characteristics challenging to discern precisely. In response to this challenge, we propose an internal defect detection algorithm that incorporates local mean decomposition-singular value decomposition (LMD-SVD) and weighted spatial-spectral entropy (WSSE).

The economic impacts of COVID-19 and city lockdown: Early evidence from China.

As the first major developing country heavily struck by the COVID-19 pandemic, China adopted the world's most stringent lockdown interventions to contain the virus spread. Using macro- and micro-level data, this paper shows that both the pandemic and lockdown policies have had negative and significant impacts on the economy. Gross regional product (GRP) fell by 9.

Pharmacological targeting of MTHFD2 suppresses NSCLC via the regulation of ILK signaling pathway.

Lung cancer is the most common cause of cancer related deaths worldwide with the highest mortality rate. Non-small cell lung cancer (NSCLC) accounts for about 85 % of lung cancers. Mitochondrial methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) is a bifunctional enzyme and is the most differentially expressed metabolic enzyme in various tumors including lung cancer.

Concrete Multi-Type Defect Classification Algorithm Based on MSSMA-SVM.

In order to realize the automatic classification of internal defects for non-contact nondestructive testing of concrete, a concrete multi-type defect classification algorithm based on the mixed strategy slime mold algorithm support vector machine (MSSMA-SVM) was proposed. The concrete surface's vibration signal was obtained using a laser Doppler vibrometer (LDV) for four classification targets for no defect, segregation, cavity, and foreign matter concrete classification targets. The wavelet packet transform (WPT) decomposes the detected signals to get information on different frequency bands.

Cinobufagin suppresses colorectal cancer growth via STAT3 pathway inhibition.

Colorectal cancer (CRC) has become one of the most common types of cancer with the highest morbidity and mortality rates globally. Cinobufagin, a natural product extracted from toad venom and a major active ingredient in cinobufotalin, exhibits high antitumor activity. Here, we investigated the and antitumor activities of cinobufagin and explored the underlying mechanisms in CRC.

The shadow price of CO emissions in China's iron and steel industry.

As China becomes the world's largest energy consumer and CO emitter, there has been a rapidly emerging literature on estimating China's abatement cost for CO using a distance function approach. However, the existing studies have mostly focused on the cost estimates at macro levels (provinces or industries) with few examining firm-level abatement costs. No work has attempted to estimate the abatement cost of CO emissions in the iron and steel industry.

Carbon farming economics: What have we learned?

This study reviewed 62 economic analyses published between 1995 and 2014 on the economic impacts of policies that incentivise agricultural greenhouse (GHG) mitigation. Typically, biophysical models are used to evaluate the changes in GHG mitigation that result from landholders changing their farm and land management practices. The estimated results of biophysical models are then integrated with economic models to simulate the costs of different policy scenarios to production systems.