Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network by Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li

“…Finally, the full connection layer is used to fuse the extracted spatial features and the learned temporal features to optimize the prediction results so that the Bi-GRCN model can better extract the spatial dependence and temporal correlation of traffic flow data. …”
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Temporal link prediction method based on community multi-features fusion and embedded representation by Yuhang ZHU, Lixin JI, Yingle LI, Haitao LI, Shuxin LIU

“…Dynamic networks integrates time attributes on the basis of static networks, and it contains multiple connotations such as the complexity and dynamics of the network structure.It is a better thinking object for studying complex network link prediction problems in the real world.Its high application value has attracted much attention in recent years.However, most of the research objects of traditional methods are still limited to static networks, and there are problems such as insufficient utilization of network time-domain evolution information and high time complexity.Combining sociological theory, a novel temporal link prediction method was proposed based on community multi-feature fusion embedding representation.The core idea of this method was to analyze the dynamic evolution characteristics of the network, learn the embedded representation vector of nodes within the community, and effectively fuse multiple features to measure the generation probability of the connection between nodes.The network was divided into several subgraphs by using community detection with collective influence weights and the Similarity index was proposed based on the collective influence.Then, the biased random walk and the Skip-gram were used to get the embedded vectors for every node and the Similarity index was proposed based on the random walk within the community.Integrating the collective influence, multiple central features of the community, and the representation vector learned within the community, the Similarity index was proposed based on the multi-features fusion.Compared with classical temporal link prediction methods, including moving average methods, embedded representation methods, and graph neural network methods, experimental results on six real data sets show that the proposed methods based on the random walk within the community and the multi-features fusion both achieve better prediction performance under the evaluation criteria of AUC.…”
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Hooded crows (Corvus cornix) manufacture objects relative to a mental template by Anna A. Smirnova, Leia R. Bulgakova, Maria A. Cheplakova, Sarah A. Jelbert

“…Both species spontaneously ripped pieces of card into large strips if they had previously learned that a large template was rewarded, and small strips when they previously learned that a small template was rewarded. …”
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Las que se quedan: Género,  Migración y Control Social by Maria José Garcia Oramas, Susana Ruiz Pimentel, Sara Ruiz Vallejo

“…Also, they become closer to other women who live in similar situations and learn from each other to relate and help themselves in this hard process that can last years. …”
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Research on multi-granularity password analysis based on LLM by Meng HONG, Weidong QIU, Yangde WANG

“…Password-based authentication has been widely used as the primary authentication mechanism.However, occasional large-scale password leaks have highlighted the vulnerability of passwords to risks such as guessing or theft.In recent years, research on password analysis using natural language processing techniques has progressed, treating passwords as a special form of natural language.Nevertheless, limited studies have investigated the impact of password text segmentation granularity on the effectiveness of password analysis with large language models.A multi-granularity password-analyzing framework was proposed based on a large language model, which follows the pre-training paradigm and autonomously learns prior knowledge of password distribution from large unlabelled datasets.The framework comprised three modules: the synchronization network, backbone network, and tail network.The synchronization network module implemented char-level, template-level, and chunk-level password segmentation, extracting knowledge on character distribution, structure, word chunk composition, and other password features.The backbone network module constructed a generic password model to learn the rules governing password composition.The tail network module generated candidate passwords for guessing and analyzing target databases.Experimental evaluations were conducted on eight password databases including Tianya and Twitter, analyzing and summarizing the effectiveness of the proposed framework under different language environments and word segmentation granularities.The results indicate that in Chinese user scenarios, the performance of the password-analyzing framework based on char-level and chunk-level segmentation is comparable, and significantly superior to the framework based on template-level segmentation.In English user scenarios, the framework based on chunk-level segmentation demonstrates the best password-analyzing performance.…”
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Cerebral Arterial Stenosis Detection Based on a Retained Two-Stage Detection Algorithm by Hanqing Liu, Xiaojun Li, Jin Wei, Xiaodong Kang

“…Deformable convolutional networks learned offsets to extract morphological features of blood vessels in different tomographic planes. …”
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The Trading Game (T-Game) by John J. VanSickle, Amir Drusbosky

“… The Trading Game (T-Game) program is a tool to help students and industry practitioners learn more about trading commodities on the futures exchanges. …”
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US Food Shopper Trends in 2017 by Lijun Angelia Chen, Lisa House

“…A nationwide sample of 5,993 adults, primary food shoppers in the United States completed a survey in 2017 to learn about food-related perspectives and trends. …”
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Healthy Eating: Folate by Linda B. Bobroff

“…Amino acids are the building blocks of proteins. Learn more about this important vitamin in this revised 2-page fact sheet was written by Linda B. …”
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The Trading Game (T-Game) by John J. VanSickle, Amir Drusbosky

“… The Trading Game (T-Game) program is a tool to help students and industry practitioners learn more about trading commodities on the futures exchanges. …”
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Chaotic Hopfield Neural Network Swarm Optimization and Its Application by Yanxia Sun, Zenghui Wang, Barend Jacobus van Wyk

“…The proposed algorithm combines the advantages of traditional PSO, chaos and Hopfield neural networks: particles learn from their own experience and the experiences of surrounding particles, their search behavior is ergodic, and convergence of the swarm is guaranteed. …”
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Long-term Care: Places to Call Home by Carolyn S. Wilken

“…It will help elderly people and their caregivers learn about the many different kinds of long-term care and living assistance now available. …”
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Red-tailed Flesh Fly, Sarcophaga haemorrhoidalis (Fallén) (Insecta: Diptera: Sarcophagidae) by Angelique Showman, C. Roxanne Connelly

“… Another insect important to forensic investigations, red-tailed flesh fly larvae invade carcasses that are in the early to advanced stages of decomposition, often arriving as early as blow flies. Learn more in this 4-page fact sheet written by Angelique Showman and C. …”
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À propos d’une géométrie vernaculaire : pratiques d’orientation en pays touareg by Dominique Casajus

“…Our day-by-day spatial orientation has little to do with the learned description that we can make of it. This article is drawn from practices observed in northern Niger and from a study of 19th and early 20th century documents.…”
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Main Reasons for the Transformation of Mandatory Hungarian Private Pension Funds by Peter Novoszath

“…One of the main lessons learned from the development of the Hungarian pension system so far is that the mandatory private pension funds working on the basis of a funded scheme were not able to solve the problems whose solution they were established for. …”
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Healthy Eating: Folate by Linda B. Bobroff

“…Amino acids are the building blocks of proteins. Learn more about this important vitamin in this revised 2-page fact sheet was written by Linda B. …”
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Long-term Care: Places to Call Home by Carolyn S. Wilken

“…It will help elderly people and their caregivers learn about the many different kinds of long-term care and living assistance now available. …”
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Shopping for Health: Milk by Wendy J. Dahl, Lauren Foster

“…Not all types of milk provide the same nutrients. Learn more in this 4-page fact sheet written by Wendy J. …”
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Red-tailed Flesh Fly, Sarcophaga haemorrhoidalis (Fallén) (Insecta: Diptera: Sarcophagidae) by Angelique Showman, C. Roxanne Connelly

“… Another insect important to forensic investigations, red-tailed flesh fly larvae invade carcasses that are in the early to advanced stages of decomposition, often arriving as early as blow flies. Learn more in this 4-page fact sheet written by Angelique Showman and C. …”
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