Lanthanum hydroxide@cellulose membranes with tunable pore sizes for selective removal of dyes with the same charges.

Adsorptive membranes for the efficient separation of dyes with the same charges are quite desirable. Herein, a novel membrane of lanthanum hydroxide/cellulose hydrogel coated filter paper (LC) was prepared through a facile strategy of dip-coating followed by freeze-shaping. With the aid of cellulose gel, the generated La(OH)3 achieved fine dispersion. In addition, the pore size of LC membrane could be regulated by altering the cellulose concentration or the lanthanum chloride dosage, which was crucial for its water flux. In particular, the obtained membrane possessed a high water flux (128.4 L m-2 h-1) and a high dye rejection (97.2 %) for anionic Congo red (CR) only driven by the gravity, which outperformed many previously reported membranes. More intriguingly, its dye rejection for anionic methyl orange (MO) was only 0.9 %, exhibiting high selectivity for dyes with the same charges. Single-solute adsorption experiments indicated that the CR adsorption on the membrane was best fitted by the pseudo-first-order kinetic model, and it followed the Langmuir monolayer adsorption mechanism.

Artificial Intelligence in Pancreatic Image Analysis: A Review.

Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and accurate treatment mainly rely on medical imaging, so accurate medical image analysis is especially vital for pancreatic cancer patients. However, medical image analysis of pancreatic cancer is facing challenges due to ambiguous symptoms, high misdiagnosis rates, and significant financial costs. Artificial intelligence (AI) offers a promising solution by relieving medical personnel's workload, improving clinical decision-making, and reducing patient costs. This study focuses on AI applications such as segmentation, classification, object detection, and prognosis prediction across five types of medical imaging: CT, MRI, EUS, PET, and pathological images, as well as integrating these imaging modalities to boost diagnostic accuracy and treatment efficiency. In addition, this study discusses current hot topics and future directions aimed at overcoming the challenges in AI-enabled automated pancreatic cancer diagnosis algorithms.

Zhuyeqing liquor promotes longevity through enhancing stress resistance via regulation of SKN-1 and HSF-1 transcription factors in Caenorhabditis elegans.

Zhuyeqing liquor (ZYQL) is well-known traditional functional liquor in China that contains twelve crude drugs. Studies have shown that ZYQL has many beneficial effects, but its anti-aging effect has not been reported. Here, we found that ZYQL had excellent antioxidant activity in vitro. In C. elegans, ZYQL could significantly extend the lifespan, and decreased aging related phenotype including accumulation of lipofuscin and the decrease of food intake and motility. Further, ZYQL significantly reduced ROS level and enhanced the antioxidant defense in C. elegans. ZYQL increased transcriptional activity of transcription factors HSF-1 and SKN-1, and ZYQL-mediated longevity was dependent on these factors. Taken together, the data suggested that ZYQL enhanced the transcriptional activity of transcription factors HSF-1 and SKN-1, which in turn increased oxidative/heat stress resistance to exert its anti-aging effect in C. elegans. Our results provide new insights into the beneficial effects and underlying mechanisms of ZYQL, which might be useful for further developing ZYQL into health or anti-aging beverages.