Clinical Effect of Auricular Point Sticking in Patients with Lung Cancer Receiving Chemotherapy

Objective:To discuss and analyze the clinical effect of auricular point sticking in lung cancer chemotherapy.Methods:Sixty-two patients with lung cancer treated with chemotherapy in Suqian Traditional Chinese Medicine Hospital of Jiangxi Province were selected for case evaluation and analysis.The time span of the research was from June 2020 to June 2021.The patients were divided into two groups:a study group(n=31)and a control group(n=31)based on their medical record numbers.All the patients were treated with conventional western medicine before and after chemotherapy to prevent adverse reactions;however,the patients in the study group were also treated with auricular point sticking in addition to the fonner.The relevant indexes of the two groups were compared.Results:The incidence of adverse reactions was significantly lower in the study group compared to the control group(P<0.05);the rate of symptomatic relief of the patients in the study group was higher than that of the control group(P<0.05);the stress response indexes toward chemotherapy of the study group were better than those of the control group(P<0.05)・Conclusion:Auricular point sticking for patients with lung cancer who are receiving chemotherapy can reduce the incidence of adverse reactions,alleviate clinical symptoms,such as chest distress,asthma,and poor appetite,significantly alleviate stress response caused by chemotherapy,as well as promote the treatment effect;thus,it is worthy of promotion.

Mesoporous magnetic nanoparticles conjugated aptamers for exosomes capture and detection of Alzheimer’s disease

Exosomes are nanoscale membrane-enclosed extracellular vesicles secreted by various cells,which have enormous potential as disease biomarkers for clinical application.However,the isolation and detection of exosomes remain enormous challenges,which limits their further application.Herein,inspired by immunomagnetic beads,a magnetic nanoparticle conjugated aptamer was repurposed for the effective capture and detection of exosomes.The magnetic nanoparticles,composed of Fe 3 O 4 synthesized by the hydrothermal method as the core and coupled with gold nanoparticles(Fe 3 O 4@Au),provide a large specific surface area,making the resulting composite material an effective platform for exosome capture.Furthermore,the elution of captured exosomes with 1.0 M NaCl made downstream analysis of exosomes possible.The preliminary clinical application value of the composite in exosome analyses of serum from healthy individuals and patients with Alzheimer’s disease(AD)has also been verified,which could provide a promising platform for biomedical and clinical diagnosis.

Novel robust simultaneous localization and mapping for long-term autonomous robots

A fundamental task for mobile robots is simultaneous localization and mapping(SLAM).Moreover,long-term robustness is an important property for SLAM.When vehicles or robots steer fast or steer in certain scenarios,such as low-texture environments,long corridors,tunnels,or other duplicated structural environments,most SLAM systems might fail.In this paper,we propose a novel robust visual inertial light detection and ranging(Li Da R)navigation(VILN)SLAM system,including stereo visual-inertial Li Da R odometry and visual-Li Da R loop closure.The proposed VILN SLAM system can perform well with low drift after long-term experiments,even when the Li Da R or visual measurements are degraded occasionally in complex scenes.Extensive experimental results show that the robustness has been greatly improved in various scenarios compared to state-of-the-art SLAM systems.

Spintronic devices for neuromorphic computing

In the past decades,significant progress has been achieved in artificial intelligence,which is now widely applied in image recognition,big data analysis,unmanned vehicle control and other cognitive tasks[1].These applications nevertheless are highly energy consuming partly because of the mismatch between the neural-network-computing-based software im-plementation and the von Neumann architecture of present computers.One promising solution is developing neuro-morphic chips without the so-called von Neumann bottle-neck,which are suitable for performing the desired computation based on artificial neural networks(ANNs).