regenerative medicine and anti-aging research have made great strides at the molecular and cellular levels in dermatology and the medical aesthetic field,targeting potential treatments with skin therapeutic and interv...
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regenerative medicine and anti-aging research have made great strides at the molecular and cellular levels in dermatology and the medical aesthetic field,targeting potential treatments with skin therapeutic and intervention pathways,which make it possible to develop effective skin regeneration andrepair *** the rapiddevelopment of computational biology,bioinformatics as well as artificial intelligence(A.I.),the development of new ingredients forregenerative medicine has been greatly accelerated,and the success rate has been *** application cases have appeared in topical skin regeneration andrepair *** review will briefly introduce the application of bioactive peptides in skin repair and anti-aging as emerging ingredients in cosmeceutics and emphasize how *** computational biology technology may accelerate the development of innovative peptide molecules and ultimately translate them into potential skin regenerative and anti-aging ***,two research routines have been summarized and current limitations as well as directions were discussed for border applications in future research.
Energy production from solar photovoltaic (PV) plants is unpredictable, mainly due to the stochastic formation and movement of clouds or aerosol - dust particles which scatter ordisperse solarradiation. Accurate for...
Energy production from solar photovoltaic (PV) plants is unpredictable, mainly due to the stochastic formation and movement of clouds or aerosol - dust particles which scatter ordisperse solarradiation. Accurate forecasts of PV output are essential to distribution and Transportation System Operators as they assist efficient solar energy trading and management of electricity grids. This work evaluates an autoregressive, computationally-light KNN-regression scheme (TSFKNN) for hourly, day-ahead forecasts of solar irradiance and energy yield of various PV technologies. The model is being tested and validated using data measured in Thuwal, Saudi Arabia. The available measuredrecords span a 60-month period. The developed forecasting models are designed for online systems and provide increased levels of accuracy and low computational cost. Several parametric and nonparametric specifications, coupled with conventional versus outlier-robust estimation procedures are tested, in order to derive an optimal month-specific daily profile (MdP). Current results demonstrate that including intraday variability to the monthly-based irradiance models achieve improved predictive accuracy between 10% and 25% on average.
Optical imaging modalities have emerged as a keystone in oncological research, capable of providing molecular and cellular information on cancer with the advantage of being minimally invasive toward healthy tissues. P...
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Optical imaging modalities have emerged as a keystone in oncological research, capable of providing molecular and cellular information on cancer with the advantage of being minimally invasive toward healthy tissues. Photothermal therapy (PTT) has shown great potential, with the exceptional advantages of high specificity and noninvasiveness. Combining surface-enhancedraman spectroscopy (SErS)-based optical imaging with PTT has shown tremendous potential in cancer theranostics (therapeutics + diagnosis). This comprehensive review article provides up-to-date information by exploring recent works focused mainly on the development of plasmonic nanoparticles for medical applications using SErS-guided PTT, including the fundamental principles behind SErS and the plasmon heating effect for PTT.
The outstanding mechanical strength of as-depositeddC-electrodeposited nanocrystalline (nc) Ni-Fe alloys has been the subject of numerous researches in view of their scientific and practical interest. However, recent...
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In autonomous driving systems, many approach have been developed based on high-precision sensors, high computing power, development of various networks in academia and industry. The key point of an autonomous car is t...
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ISBN:
(数字)9788993215205
ISBN:
(纸本)9781728185620
In autonomous driving systems, many approach have been developed based on high-precision sensors, high computing power, development of various networks in academia and industry. The key point of an autonomous car is that it needs to know what is happening in the driving situation and an action corresponding to this situation must be created and operated. In this paper, we propose the system structure and method of a autonomous driving car consisting of three main parts:perception, planning, control. Each main part is designed to recognize the real-time driving environment, make action plan based on finite state machine, and activate kinematic model based control. The proposed vehicle system copes with six major situations of urban environment driving, and we verified system through the simulation.
Oil and gas industries are facing a special dilemma when it comes to high-pressure, high-temperature (HPHT) drilling as the accurate forecasting of the drilling fluiddensity (dFd) is a vital factor for safe and effic...
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This paperdescribes a tomato recognition system to be applied to a harvesting robot used in farms under natural light conditions. The tomato recognition system is composed of a stereo camera, light, deep learning bas...
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The thickness of the sensitive layer has an important influence on the sensitivity of a shear horizontal surface acoustic wave(SH-SAW)biosensor with a delay-line structure and lower layer numbers of graphene produce b...
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The thickness of the sensitive layer has an important influence on the sensitivity of a shear horizontal surface acoustic wave(SH-SAW)biosensor with a delay-line structure and lower layer numbers of graphene produce better sensitivity for biological ***,a label-free and highly sensitive SH-SAW biosensor with chemical vapordeposition(CVd-)-grown single-layered graphene(SLG)for endotoxin detection was developed in this *** this methodology,SH-SAW biosensors were fabricated on a 36°Y-90°X quartz substrate with a base frequency of 246.2MHz,and an effective detection cell was fabricated using acrylic *** increase the surface hydrophilicity,chitosan was applied to the surface of the SLG ***,the aptamer was immobilized on the surface of the SLG film by cross-linking with ***,the sensitivity was verified by endotoxin detection with a lineardetection ranging from 0 to 100 ng/mL,and the detection limit(LOd)was as low as 3.53 ng/*** addition,the stability of this type of SH-SAW biosensor from the air phase to the liquid phase proved to be excellent and the specificity was tested and verified by detecting the endotoxin obtained from Escherichia coli(***),the endotoxin obtained from Pseudomonas aeruginosa(***),and ***,this type of SH-SAW biosensor with a CVd-grown SLG film may offer a promising approach to endotoxin detection,and it may have great potential in clinical applications.
The impact of shoaling on linear water waves is well-known, but it has only been recently found to significantly amplify both the intensity and frequency of rogue waves in nonlinear irregular wave trains atop coastal ...
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As recent research on deep learning methods has been actively conducted, a number of deep learning methods have been proposed. In this paper, we propose a method of removing the desired object from an image using gene...
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ISBN:
(数字)9788993215205
ISBN:
(纸本)9781728185620
As recent research on deep learning methods has been actively conducted, a number of deep learning methods have been proposed. In this paper, we propose a method of removing the desired object from an image using generative adversarial networks(GANs) structure. We composed the network in which two GANs are fused. The first GAN erases the target object from the input image, and the second GAN generates an image that fills the empty space with the background. Through this network, we can erase the desired object from the input image and get an image with the erased part filled with the background without any object detection method. We show that the removal of people and vehicles from images of roads using the CityScapes dataset.
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