Promise and challenges of traditional Chinese medicine,specifically Calculus bovis,in liver cancer treatment

Liver cancer,one of the most common malignancies worldwide,ranks sixth in incidence and third in mortality.Liver cancer treatment options are diverse,inclu-ding surgical resection,liver transplantation,percutaneous ablation,transarterial chemoembolization,radiotherapy,chemotherapy,targeted therapy,immuno-therapy,and traditional Chinese medicine(TCM).A multidisciplinary team(MDT)is essential to customize treatment plans based on tumor staging,liver function,and performance status(PS),ensuring individualized patient care.Treatment decisions require a MDT to tailor strategies based on tumor staging,liver function,and PS,ensuring personalized care.The approval of new first-line and second-line drugs and the establishment of standard treatments based on immune checkpoint inhibitors have significantly expanded treatment options for advanced liver cancer,improving overall prognosis.However,many patients do not respond effectively to these treatments and ultimately succumb to the disease.Modern oncology treatments,while extending patient survival,often come with severe side effects,resistance,and damage to the body,negatively impacting quality of life.Huang et al's study published at World Journal of Gastroenterology rigorously validates the anticancer properties of Calculus bovis,enhancing our understanding of TCM and contributing to new liver cancer treatment strategies.For over 5000 years,TCM has been used in East Asian countries like China to treat various diseases,including liver conditions.Analysis of real-world clinical data suggests that for patients with advanced-stage tumors lacking effective treatments,integrated TCM therapies could provide significant breakthroughs.

Ni_(3)S_(2) nanocrystals in-situ grown on Ni foam as highly efficient electrocatalysts for alkaline hydrogen evolution

The exploitation of cost-efficient electrocatalysts is critical to develop the hydrogen evolution reaction(HER) for hydrogen production.Herein,Ni_(3)S_(2)/NF-x h(x=12,16 and 20,reaction time) nanocrystals in-situ grown on Ni foam(NF) were prepared via a facile hydrothermal method.The results demonstrate that the reaction time plays key roles in the morphology,the hydrogen evolution performance of the samples,and the hydrogen brittleness of NF substrate.Interestingly,the Ni_(3)S_(2)/NF-16 h displays outstanding catalytic activity for HER in alkaline solution and avoids the hydrogen brittleness of the NF skeletons simultaneously.To afford a catalytic current of20 mA·cm^(-2),Ni_(3)S_(2)/NF-16 h presents ultra-low overpotential of 48 mV for hydrogen evolution and sufficient stability for 40 h.Moreover,the density functional theory(DFT) calculations revealed that the excellent electrocatalytic HER activity of Ni_(3)S_(2) could be attributed to its exposed(015) plane,which exhibited good capability for water adsorption and dissociation in an alkaline electrolyte,leading to the optimal free energy for H^(*) adsorption.The present work offers a novel strategy to design,synthesize and develop highly efficient electrocatalysts for HER.

Anchoring Fe(OH)_(3)nanoparticles on Ni-MOF nanosheets for efficient electrocatalytic oxygen evolution

It is vital to develop highly efficient and earth-abundant electrocatalysts for accelerating the sluggish oxygen evolution reaction(OER).Herein,a facile room-temperature immersion method is proposed to prepare heterogeneous Ni-MOF/Fe(OH)_(3) composite by anchoring Fe(OH)_(3) nanoparticles on Ni-MOF nanosheets.As a synergistic electrocatalyst,Ni-MOF/Fe(OH)_(3) composite shows extre-mely high activity towards OER.

Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments

Coordinating multiple unmanned aerial vehicles(multi-UAVs)is a challenging technique in highly dynamic and sophisticated environments.Based on digital pheromones as well as current mainstream unmanned system controlling algorithms,we propose a strategy for multi-UAVs to acquire targets with limited prior knowledge.In particular,we put forward a more reasonable and effective pheromone update mechanism,by improving digital pheromone fusion algorithms for different semantic pheromones and planning individuals’probabilistic behavioral decision-making schemes.Also,inspired by the flocking model in nature,considering the limitations of some individuals in perception and communication,we design a navigation algorithm model on top of Olfati-Saber’s algorithm for flocking control,by further replacing the pheromone scalar to a vector.Simulation results show that the proposed algorithm can yield superior performance in terms of coverage,detection and revisit efficiency,and the capability of obstacle avoidance.