Optimization of the Dynamic Measure of Spillover Effect Based on Knowledge Graph

Hua, Ruimao; Bao, Yongwen; Chen, Shengan; Zhuang, Ziyin

doi:10.32604/csse.2019.34.215

Cited by 8 publications

(4 citation statements)

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“…Lead halide-based perovskites have been widely studied as absorbing materials for thin film solar cells with a power conversion efficiency of about 20%, [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. These compounds can also be used as a promising emitter in light-emitting diodes (LEDs) [15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites

et al. 2021

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Hybrid inorganic perovskites (HIPs) have been developed in recent years as new high-efficiency semiconductors with a wide range of uses in various optoelectronic applications such as solar cells and light-emitting diodes (LEDs). In this work, we used a first-principles theoretical study to investigate the effects of phase transition on the electronic and optical properties of CsPbI3 pure inorganic perovskites. The results showed that at temperatures over 300 °C, the structure of CsPbI3 exhibits a cube phase (pm3m) with no tilt of PbI6 octahedra (distortion index = 0 and bond angle variance = 0). As the temperature decreases (approximately to room temperature), the PbI6 octahedra is tilted, and the distortion index and bond angle variance increase. Around room temperature, the CsPbI3 structure enters an orthorhombic phase with two tilts PbI6 octahedra. It was found that changing the halogens in all structures reduces the volume of PbI6 octahedra. The tilted PbI6 octahedra causes the distribution of interactions to vary drastically, which leads to a change in band gap energy. This is the main reason for the red and blue shifts in the absorption spectrum of CsPbI3. In general, it can be said that the origin of all changes in the structural, electronic, and optical properties of HIPs is the changes in the volume, orientation, and distortion index of PbI6 octahedra.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites

et al. 2021

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“…where a jW shows the priority of the criterion j over the worst criterion W. It is evident that a WW =1. (5). Find the optimal weights (W * 1 , W * 2 , .…”

Section: Calculation Methodsmentioning

confidence: 99%

“…In recent years, the emergence of new technologies including blockchain, artificial intelligence, and machine learning and their applications has grown in the field of healthcare [1][2][3][4][5][6][7][8]. In 2020, Wang et al constructed a new efficient hybrid learning framework, namely the CMWOAFS-SVM [9][10][11][12][13][14][15], for support vector machine (SVM), which was successfully applied to diagnose different diseases, including breast cancer, diabetes, and ES [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method

et al. 2021

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In blockchain technology, all registered information, from the place of production of the product to its point of sale, is recorded as permanent and unchangeable, and no intermediary has the ability to change the data of other members and even the data registered by them without public consensus. In this way, users can trust the accuracy of the data. Blockchain systems have a wide range of applications in the medical and health sectors, from creating an integrated system for recording and tracking patients’ medical records to creating transparency in the drug supply chain and medical supplies. However, implementing blockchain technology in the supply chain has limitations and sometimes has risks. In this study, BWM methods and VIKORSort have been used to classify the risks of implementing blockchain in the drug supply chain. The results show that cyberattacks, double spending, and immutability are very dangerous risks for implementation of blockchain technology in the drug supply chain. Therefore, the risks of blockchain technology implementation in the drug supply chain have been classified based on a literature review and opinions of the experts. The risks of blockchain technology implementation in the supply chain were determined from the literature review.

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“…Mining communities or nodes play an important role in the transmission of information in virtual communities [7,8], and research and analysis are conducted on their behaviors. In addition, community detection can be applied to the knowledge graph [9,10] to mine abnormal data [11,12], which can lay the foundation for building a knowledge graph or big data mining providing services.…”

Section: Introductionmentioning

confidence: 99%

Study on Discovery Method of Cooperative Research Team Based on Improved Louvain Algorithm

Liu

Huang

Zhang

et al. 2021

Scientific Programming

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According to the needs of scientific research project research and development, the research of cooperative team excavation methods was carried out. Aiming at the current difficulties in accurately and reliably defining and identifying cooperative research teams from co-author network, an improved Louvain algorithm that integrates core node recognition was proposed: Louvain-LSCR algorithm. Based on the analysis of the Louvain algorithm, considering the local topology of the node in the network and the communication range of the node, a new algorithm LSCR for core node identification was constructed. The LSCR algorithm and Louvain algorithm were merged to obtain a new and improved algorithm, Louvain-LSCR. In this algorithm, the leaf nodes in phase 1 of Louvain algorithm were first pruned to reduce calculations; then, seed nodes were selected according to the LSCR algorithm in phase 2. The experimental results on related datasets show that LSCR algorithm has certain advantages in identifying core nodes. The modularity of Louvian-LSCR algorithm is better than other algorithms, and the community structure is more reasonable. It was verified that the algorithm can mine potential cooperative research teams in co-author network.

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Optimization of the Dynamic Measure of Spillover Effect Based on Knowledge Graph

Cited by 8 publications

References 0 publications

RETRACTED: The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites

RETRACTED: The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites

Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method

Study on Discovery Method of Cooperative Research Team Based on Improved Louvain Algorithm

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