High-Viability Circulating Tumor Cells Sorting From Whole Blood at Single Cell Level Using Laser-Induced Forward Transfer-Assisted Microfiltration.

The efficient isolation and molecular analysis of circulating tumor cells (CTCs) from whole blood at single-cell level are crucial for understanding tumor metastasis and developing personalized treatments. The viability of isolated cells is the key prerequisite for the downstream molecular analysis, especially for RNA sequencing. This study develops a laser-induced forward transfer -assisted microfiltration system (LIFT-AMFS) for high-viability CTC enrichment and retrieval from whole blood.

Selective Interface Engineering with Large π-Conjugated Molecules Enables Durable Zn Anodes.

Undesirable dendrite growth and side reactions at the electrical double layer (EDL) of Zn/electrolyte interface are critical challenges limiting the performance of aqueous zinc ion batteries. Through density functional theory calculations, we demonstrate that grafting large π-conjugated molecules (e.g.

The economic inequality effect of environmental policies--a case from China's "authoritarian environmentalism" actions.

Command-and-control environmental policies are crucial for achieving sustainable development across environmental, economic, and social dimensions. However, these policies often neglect the impact on vulnerable populations and impoverished regions. This paper reveals the mechanisms and impacts of CAC exacerbating regional economic inequality under resource endowment differences through empirical analysis of county panel data in China from 2010 to 2021.

Tailoring Water-in-DMSO Electrolyte for Ultra-stable Rechargeable Zinc Batteries.

Rechargeable zinc batteries (RZBs) are hindered by two primary challenges: instability of Zn anode and deterioration of the cathode structure in traditional aqueous electrolytes, largely attributable to the decomposition of active HO. Here, we design and synthesize a non-flammable water-in-dimethyl sulfoxide electrolyte to address these issues. X-ray absorption spectroscopy, in situ techniques and computational simulations demonstrate that the activity of HO in this electrolyte is extremely compressed, which not only suppresses the side reactions and increases the reversibility of Zn anode, but also diminishes the cathode dissolution and proton intercalation.

Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features.

Objectives: To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC).

Methods: DWI and clinical data from 155 EC patients were included in this study, consisting of 80 in the training set, 35 in the test set, and 40 in the external validation set. Radiomics features, convolutional neural network-based DL features, and clinical variables were analyzed.