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This study evaluates micro-aeration-enhanced anaerobic digestion for treating coffee-processing wastewater, finding it improves recalcitrant compound removal but reduces methane yield.

This paper introduces Nanocoding using lipid nanoparticles for multiplexed scRNA-seq, achieving high barcode labeling density and stability across diverse cell populations.

The paper measures residual stress in brain tissue using MRI and finite element simulations, finding compressive stresses in grey matter and anisotropic tensile stresses in white matter aligned with axon orientation.

The paper designs de novo proteins called NeoNectins that specifically bind integrin α5β1, enhancing cell attachment and tissue integration in biomaterials.

The paper introduces a Python toolbox, SMART_MRS, to simulate common artifacts in GABA-edited MRS data, enhancing the diversity and quality of simulated data.

This paper designs a drug-regulated gene expression system using self-amplifying RNA with TMP-responsive degradation domains, showing enhanced immune responses in mice.

A biomimetic collagen scaffold promotes functional muscle regeneration in a VML rabbit model, achieving complete degradation and tissue replacement without exogenous cells or growth factors.

The paper develops a high-throughput method to isolate human iPS cell clones and finds that homozygous genetic edits are more common than heterozygous ones.

This paper introduces FDMC to enable handle-level random access in encrypted DNA storage, balancing security and efficiency with high data recovery rates.

This paper develops a 3D biomimetic scaffold model to support in vitro lactation by human milk-derived mammary epithelial cells, enabling secretion of beta-casein and milk-fat-globules.

This paper develops LIPTACs, LDLR-targeting chimeras that enhance lysosomal delivery and cytotoxicity for cancer treatment by combining eTPD and ADC strategies.

This study uses an AI platform to identify sex-specific drug combinations targeting aortic valve myofibroblast activation, revealing sex-dependent efficacy and interactions.

HD2Net improves fluorescence microscopy image quality by simultaneously denoising and correcting aberrations without additional hardware, outperforming existing methods in resolution and contrast.

This study develops scaffold-free, cryopreservable cartilage grafts from hiPSC-derived cells for tracheal reconstruction, showing growth adaptability and superior performance in animal models.

This paper develops inhalable perfluorocarbon RNA nanocapsules that bypass immune clearance and target lung cells, showing efficient delivery and therapeutic effects in a lung metastasis model.

This study shows that topical 4-aminopyridine delivered via a gel formulation accelerates burn wound healing by enhancing re-epithelialization, hair follicle regeneration, and fibroblast to myofibroblast transformation.

This paper introduces a tunable lung organoid model to study how cellular composition drives epithelial plasticity and immune polarization in chronic lung diseases.

This study evaluates differences in margin of stability (MoS) calculations using various base of support definitions and investigates the impact of anthropometric factors on MoS measures.

This paper introduces BADASS, an optimization algorithm for protein design that improves fitness prediction and sequence diversity compared to existing methods.

This paper develops a PSO-optimized stacked ensemble machine learning model with SMOTEEN for stroke prediction, achieving 95.57% accuracy and outperforming traditional models.