Chromium‐doped zinc gallate, ZnGa2O4:Cr3+ (ZGC), is viewed as a long‐lasting luminescence (LLL) phosphor that can avoid tissue autofluorescence interference for in vivo imaging detection. ZGC is a ...cubic spinel structure, a typical agglomerative or clustered morphology lacking a defined cubic shape, but a sphere‐like feature is commonly obtained for the nanometric ZGC. The substantial challenge remains achieving a well‐defined cubic feature in nanoscale. The process by which dispersed and well‐defined concave cubic ZGC is obtained is described, exhibiting much stronger LLL in UV and X‐ray excitation for the dispersed cubic ZGC compared with the agglomerative form that cannot be excited using X‐rays with a low dose of 0.5 Gy. The cubic ZGC reveals a specific accumulation in liver and 0.5 Gy used at the end of X‐ray excitation is sufficient for imaging of deep‐seated hepatic tumors. The ZGC nanocubes show highly passive targeting of orthotopic hepatic tumors.
Dispersed and well‐defined ZnGa2O4:Cr3+ (ZGC) concave nanocubes are reported as providing highly passive targeting of deep‐seated hepatic tumors. They also exhibit much stronger long‐lasting luminescence in UV and X‐ray excitation for the dispersed cubic ZGC compared with the agglomerative form that cannot be charged using X‐rays with a low dose of 0.5 Gy.
The program FlϵX (flexural ϵ for xtals) has been developed for a quick, easy and accurate evaluation of the maximum deformation reached in flexible crystals from a simple optical microscope picture. ...The program takes advantage of computer vision libraries to find the contours of a bent crystal and fit these to semicircles. It can then calculate the theoretical maximum deformation along its long axis using equations from the Euler–Bernoulli beam theory.
A program has been developed to assist researchers interested in bending crystals to evaluate crystal deformation from a single optical image.
The program
(flexural ɛ for xtals) has been developed for a quick, easy and accurate evaluation of the maximum deformation reached in flexible crystals from a simple optical microscope picture. The ...program takes advantage of computer vision libraries to find the contours of a bent crystal and fit these to semicircles. It can then calculate the theoretical maximum deformation along its long axis using equations from the Euler-Bernoulli beam theory.
Chronic exposure to ambient polycyclic aromatic hydrocarbons (PAHs) is associated with asthma, but its regulatory mechanisms remain incompletely defined. We report herein that elevated levels of ...urinary 1-hydroxypyrene, a biomarker of PAH exposure, were found in asthmatic subjects (n = 39) as compared to those in healthy subjects (n = 43) living in an industrial city of Taiwan, where indeno1,2,3-cdpyrene (IP) was found to be a prominent PAH associated with ambient PM
. In a mouse model, intranasal exposure of mice with varying doses of IP significantly enhanced antigen-induced allergic inflammation, including increased airway eosinophilia, Th2 cytokines, including IL-4 and IL-5, as well as antigen-specific IgE level, which was absent in dendritic cell (DC)-specific aryl hydrocarbon receptor (AhR)-null mice. Mechanistically, IP treatment significantly altered DC's function, including increased level of pro-inflammatory IL-6 and decreased generation of anti-inflammatory IL-10. The IP's effect was lost in DCs from mice carrying an AhR-mutant allele. Taken together, these results suggest that chronic exposure to environmental PAHs may pose a significant risk for asthma, in which IP, a prominent ambient PAH in Taiwan, was shown to enhance the severity of allergic lung inflammation in mice through, at least in part, its ability in modulating DC's function in an AhR-dependent manner.
Transmission applications in wireless networks have brought unprecedented demands. The demand for high-performance wireless transmission is increasing day by day. Antenna technology is an ...indispensable part of the development of wireless communication. One potential solution is to resort t intelligent learning techniques to help breakthroughs in the limited antenna technical field. It is based on an adaptive antenna using intelligent learning. It has laid the foundation for signal strength adjustment to enhance wireless transmission efficiency. This paper evaluates the most advanced literature and techniques. A comprehensive description from different perspectives covers several adaptive antenna structures, including diversity antennas, phased array antennas, and beamforming specific learning methods. After that, this paper divides it into different categories, from intelligent learning algorithms and feature data perspectives in a different light to analyze and discuss. This article expects to help readers understand the latest intelligent technology based on adaptive antennas. Further, it sheds novel light on future research directions to meet the development needs of adaptive antennas for future wireless networks.
For industrial applications of the artificial intelligence of things, mechanical control usually affects the overall product output and production schedule. Recently, more and more engineers have ...applied the deep reinforcement learning method to mechanical control to improve the company's profit. However, the problem of deep reinforcement learning training stage is that overfitting often occurs, which results in accidental control and increases the risk of overcontrol. In order to address this problem, in this article, an expected advantage learning method is proposed for moderating the maximum value of expectation-based deep reinforcement learning for industrial applications. With the tanh softmax policy of the softmax function, we replace the sigmod function with the tanh function as the softmax function activation value. It makes it so that the proposed expectation-based method can successfully decrease the value overfitting in cognitive computing. In the experimental results, the performance of the Deep Q Network algorithm, advantage learning algorithm, and propose expected advantage learning method were evaluated in every episodes with the four criteria: the total score, total step, average score, and highest score. Comparing with the AL algorithm, the total score of the proposed expected advantage learning method is increased by 6% in the same number of trainings. This shows that the action probability distribution of the proposed expected advantage learning method has better performance than the traditional soft-max strategy for the optimal setting control of industrial applications.
The colonic epithelium can undergo multiple rounds of damage and repair, often in response to excessive inflammation. The responsive stem cell that mediates this process is unclear, in part because ...of a lack of in vitro models that recapitulate key epithelial changes that occur in vivo during damage and repair. Here, we identify a Hopx+ colitis-associated regenerative stem cell (CARSC) population that functionally contributes to mucosal repair in mouse models of colitis. Hopx+ CARSCs, enriched for fetal-like markers, transiently arose from hypertrophic crypts known to facilitate regeneration. Importantly, we established a long-term, self-organizing two-dimensional (2D) epithelial monolayer system to model the regenerative properties and responses of Hopx+ CARSCs. This system can reenact the “homeostasis-injury-regeneration” cycles of epithelial alterations that occur in vivo. Using this system, we found that hypoxia and endoplasmic reticulum stress, insults commonly present in inflammatory bowel diseases, mediated the cyclic switch of cellular status in this process.
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•Identify a regenerative stem cell population in colitis-associated regeneration•A long-term 2D culture to reenact the crypt homeostasis-injury-regeneration cycles•Oxygen tension serves as a switch in injury and regeneration in vivo and in vitro
An Lgr5+-independent population of stem cells maintains homeostasis in the colon and is associated with colitis-associated regeneration.
With the growing popularity of mobile devices, a new type of peer-to-peer communication mode for mobile cloud computing has been introduced. By applying a variety of short-range wireless ...communication technologies to establish connections with nearby mobile devices, we can construct a mobile cloudlet in which each mobile device can either works as a computing service provider or a service requester. Although the paradigm of mobile cloudlet is cost-efficient in handling computation-intensive tasks, the understanding of its corresponding service mode from a theoretic perspective is still in its infancy. In this paper, we first propose a new mobile cloudlet-assisted service mode named Opportunistic task Scheduling over Co-located Clouds (OSCC), which achieves flexible cost-delay tradeoffs between conventional remote cloud service mode and mobile cloudlets service mode. Then, we perform detailed analytic studies for OSCC mode, and solve the energy minimization problem by compromising among remote cloud mode, mobile cloudlets mode and OSCC mode. We also conduct extensive simulations to verify the effectiveness of the proposed OSCC mode, and analyze its applicability. Moreover, experimental results show that when the ratio of data size after task execution over original data size associated with the task is smaller than 1 (i.e., r <; 1) and the average meeting rate of two mobile devices λ is larger than 0:00014, our proposed OSCC mode outperforms existing service modes.
In this study, we attempted to explain why the substitution of a cyano group onto the 1‐azadiene moiety promotes N‐(2,3‐diphenylallylidene)pent‐4‐en‐1‐amine to undergo an intramolecular ...aza‐Diels–Alder reaction. Our M06‐2X study found that the intramolecular aza‐Diels–Alder reaction of N‐(2,3‐diphenylallylidene)pent‐4‐en‐1‐amine has an inverse electron demand. Therefore, the attachment of a cyano group to the diene moiety (1‐azadiene) makes the intramolecular aza‐Diels–Alder reaction feasible. Moreover, the intramolecular aza‐Diels–Alder reaction of N‐(2,3‐diphenylallylidene)pent‐4‐en‐1‐amine was found to be a kinetically controlled reaction.
In this study, the frontier molecular orbital theory was found to be not a useful tool to explain the electron demand of an intramolecular aza‐Diels–Alder reaction. Therefore, the local electrophilicity, a local reactivity descriptor derived from the conceptual density functional theory, was used to explain such electron demand.
Computational thinking (CT), a way to think about solving problems, is recognized as a basic skill for the 21st century. Although game-based learning (GBL) has been shown to improve student's CT ...skills, students may fail to self-evaluate or debate as they play games, thus failing to develop higher-order thinking. Also not widely explored is how teachers are to practice the CT core competencies during the learning process to cultivate students' problem-solving thinking. As the adoption of student-generated questions (SGQ) is an instructional strategy to promote higher-order thinking, we develop a GBL platform that uses this strategy to enhance students' CT skills, learning motivation, and learning confidence. For this purpose, fifty-three primary school students were recruited for this study, and data were collected during four classes of experimental CT activities. This study shows that the experimental group using the SGQ strategy with a GBL platform exhibited significantly higher CT skills than the control group. In addition, with respect to learning motivation and learning confidence it is found that the experimental group also outperformed the control group. This confirms that integrating the SGQ strategy and CT core competencies fosters higher-order cognitive thinking in students in problem-solving through gamification of the learning environment, resulting in higher motivation and confidence to complete experimental activities.
•This study used student-generated questions (SGQ) in game-based learning platform.•This study integrated five core competencies of computational thinking into SGQ.•This result indicated that SGQ enhanced student's computational thinking skills.•It was studied that SGQ could improve student's learning motivation and confidence.•This study confirmed the contribution of SGQ to computational thinking skills.
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