Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Objective To predict the potential suitable growth areas of Epimedium brevicornu Maxim.under current climate conditions in China;To provide basis for the sustainable utilization of Epimedium brevicornu Maxim.resources and production planning.Methods Based on 267 screened species distribution data of Epimedium brevicornu Maxim.and 8 environmental factors,the MaxEnt parameters were optimized by the R language kuenm package.The main environmental factors that affect the distribution of Epimedium brevicornu Maxim.was analyzed and its potential distribution range was predicted.Results The omission rate of the optimal model operation results was 0.044 8,AICc=6 409.884 5,AUC=0.986,indicating a high accuracy of the model.Based on the contribution rate of environmental factors and the knife cut method,it was indicated that the key environmental factors affecting the current distribution of Epimedium brevicornu Maxim.were mainly the average precipitation in July,the average highest temperature in February,the average precipitation in September,the coldest season precipitation,the coefficient of variation of precipitation,the standard deviation of seasonal temperature changes,and the warmest season precipitation.The simulation results showed that the total suitable area for Epimedium brevicornu Maxim.in China under current climate conditions was approximately 221.14×104 km2,concentrated in the central and central southern regions of China.The area of the high suitability zone was approximately 23.13×104 km2;the area of the suitable growth zone was approximately 73.78×104 km2;the area of low suitability zone was approximately 124.22×104 km2.Conclusion This study provides a basis and reference for the artificial cultivation planning and sustainable utilization of Epimedium brevicornu Maxim.resources.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

The bionic optic nerve can mimic human visual physiology and is a future treatment for visual disorders. Photosynaptic devices could respond to light stimuli and mimic normal optic nerve function. By modifying (Poly(3,4-ethylenedioxythio-phene):poly (styrenesulfonate)) active layers with all-inorganic perovskite quantum dots, with an aqueous solution as the dielectric layer in this paper, we developed a photosynaptic device based on an organic electrochemical transistor (OECT). The optical switching response time of OECT was 3.7 s. To improve the optical response of the device, a 365 nm, 300 mW·cm ^-2 UV light source was used. Basic synaptic behaviors such as postsynaptic currents (0.225 mA) at a light pulse duration of 4 s and double pulse facilitation at a light pulse duration of 1 s and pulse interval of 1 s were simulated. By changing the way light stimulates, for example, by adjusting the intensity of the light pulses from 180 to 540 mW·cm ^-2, the duration from 1 to 20 s, and the number of light pulses from 1 to 20, the postsynaptic currents were increased by 0.350 mA, 0.420 mA, and 0.466 mA, respectively. As such, we realized the effective shift from short-term synaptic plasticity (100 s recovery of initial value) to long-term synaptic plasticity (84.3% of 250 s decay maximum). This optical synapse has a high potential for simulating the human optic nerve.
Humans ; Quantum Dots ; Bionics ; Oxides ; Optic Nerve