Peculiarities of Pattern Information Transmission by Evgeniy V. Yurkevich, Lidiya N. Krukova

Subjects: “…pattern information…”
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HOW DOG OWNERS LEISURE PATTERNS INFORM DESTINATION PREFERENCES: INSIGHTS FORM HUNGARY by Anetta MÜLLER, Réka PÁLINKÁS, Ildikó VAJDA, Anikó MOLNÁR, Zoltán BUJDOSÓ, Anita BOROS, Antal LOVAS KISS, Attila LENGYEL, Gábor Gergely RÁTHONYI, Éva Bába BÁCSNÉ

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A Multilevel Wavelet Decomposition Network Hybrid Model Utilizing Cyclic Patterns for Stock Price Prediction by H. R. Wen, Mingchuan Yuan, Shuxin Wang, Lixin Liang, Xianghua Fu

“…Inspired by the abovementioned, we propose a hybrid deep learning model called mWDN-LSTM, which correctly utilizes the cyclic patterns’ information to predict stock price while avoiding the data leakage and alleviating boundary problems. …”
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Immuno- and expression analysis of Ehrlichia canis immunoreactive proteins by Jignesh G. Patel, Tian Luo, Xiaofeng Zhang, Jere W. McBride, Jere W. McBride, Jere W. McBride, Jere W. McBride, Jere W. McBride

“…This study has identified new immunodiagnostic candidates that exhibit different host expression patterns, information which may be useful for developing ultrasensitive immunodiagnostics and effective vaccines for CME.…”
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Education, training, and perceptions of physician competency among medical cannabis patients in Israel by Yuval Zolotov, Offer E. Edelstein, Leslie Mendoza Temple, Mikhail Kogan, Shai-li Romem-Porat, Alexander Reznik, Richard Isralowitz

“…Conclusion: This study identifies age-related differences in medical cannabis use patterns, information sources, and perceptions of physician competencies. …”
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Sociodemographic and regional differences in dietary climate impact: findings from Finnish population surveys by Laura Sares-Jäske, Tommi Härkänen, Heli Tapanainen, Merja Saarinen, Jani Salminen, Liisa Valsta, Laura Paalanen

“…Results of absolute and energy-adjusted climate impacts showed mainly similar patterns. Information on the differences between sociodemographic groups can be used when targeting policies concerning transition towards more climate-friendly diets to sociodemographic groups with high dietary climate impacts.…”
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An Etymological Study of the Term "Zhongshu (Heatstroke)" by Yuhao HE, Bangxian ZHU, Lili LIU, Qi YANG, Ming LI

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Phased Researches of Transport Market Aimed to Substantiate Passenger Trains’ Consist Patterns by A. V. Sokolovskiy

“…Market researches are focused on definition of those transport market segments where it may be recommended to introduce trains with fixed train consist pattern. Information analysis provisions for the conducted market researches are based on the MIS Express capabilities. …”
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Systemic testing on Bradley-Terry model against nonlinear ranking hierarchy. by Aaron Shev, Kevin Fujii, Fushing Hsieh, Brenda McCowan

“…We take this development further by rigorously arguing for the necessity of accommodating system's global pattern information contents, and then introducing a systemic testing on Bradley-Terry model. …”
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Headlines or Hashtags? The battle in social media for investor sentiment in the stock market by Yudhvir Seetharam, Kingstone Nyakurukwa

“…The findings show a prevailing pattern: information predominantly flows from social media to news for the majority of stocks while a reverse relationship is established for some stocks. …”
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A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors by PAN Ming, ZHENG Jingsong, LI Jinliang, FANG Long, YANG Yang, ZHAO Shijie

“…With DBGRU as the backbone network, a few-shot contrastive learning algorithm based on data augmentation is proposed, which uses the Wasserstein Generative Adversarial Network (WGAN) based on Wasserstein distance to enrich the original data, and uses the contrastive learning framework to mine the rich pattern information in the multimodal data to make up for the lack of few-shot data, so as to accurately predict the behavior intention of electromagnetic targets. …”
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Unified regularity measures for sample-wise learning and generalization by Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu

“…Recent studies on deep neural networks (DNNs) suggest that such sample differences are rooted in the distribution of intrinsic pattern information, namely sample regularity. Motivated by recent discoveries in network memorization and generalization, we propose a pair of sample regularity measures with a formulation-consistent representation for both processes. …”
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Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study by Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao

“…A promising approach to overcoming these challenges is to embed domain knowledge into the ML pipeline, enhancing the model with additional pattern information. In this paper, we review the latest developments in PHM, encapsulated under the concept of Knowledge Driven Machine Learning (KDML). …”
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Comparative Study on Interaction of Form and Motion Processing Streams by Applying Two Different Classifiers in Mechanism for Recognition of Biological Movement by Bardia Yousefi, Chu Kiong Loo

“…Fuzzy inference system is used for motion pattern information in motion pathway creating more robustness in recognition process. …”
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Productive aging patterns and associations with health outcomes among Chinese urban older adults by Zexi Su

“…Results Older adults' participation in productive activities in Chinese cities can be divided into three patterns: informal activities, caregiving-social-leisure, and caregiving-centered. …”
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Assessment of Sleep Patterns and Their Correlation with Height in Children Aged 8–11 Years: Insights from the Sleep Disturbance Scale for Children (SDSC) by Ahmad mahfur, Laksmitha Saktiono Safitri, Hawin Nurdiana, Annisa Nurul Arofah

“…Data on height and weight were collected from school records, while sleep pattern information was obtained through parent-completed questionnaires. …”
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N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering by Farman Ullah, Ghulam Sarwar, Sungchang Lee

“…N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. …”
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China’s efforts on the CSEP and a retrospective case by Huaizhong Yu, Jingxue Zhang, Yue Liu, Yongxian Zhang, Chieh-Hung Chen, Rui Yan, Gang Li, Zeping Li, Yuchuan Ma, Zhengyi Yuan, Wen Yang, Donghui Jia, Binbin Zhao

“…Some traditional methods such as Load-Unload Response Ratio (LURR), Pattern Information (PI), Relative Intensity (RI), Epidemic Type Aftershock Sequence (ETAS), and b-value have been installed. …”
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Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

“…After scanning the different cycle time series data obtained from the segmented communication data, we employ the incremental mining algorithm to mine frequent cycle patterns and update incremental pattern information. The experimental results show that in terms of data dimensionality reduction, the time series of communication data with insufficient original high-dimensional information is downgraded to within 0.4 times of the original dimensionality, indicating that the proposed method successfully compresses the original high-dimensional data into a low-dimensional space, effectively reducing the computational complexity and improving the data processing speed. …”
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Spatial correlations between cultural ecosystem services and human activities along the Shenyang’s Hun River corridor by Kaidan Hou, Ling Zhu

“…Applying Pearson’s correlation and bivariate local Moran’s I analyses, three governance-critical patterns emerged: (1) Strong positive CES-HAI synergies (r = 0.52 –0.67) for most services, driven by spatial co-occurrence patterns; (2) Spatial mismatches where high HAI clusters degrade aesthetic quality (r = − 0.33); (3) Governance-driven heterogeneity between top-down megaprojects and bottom-up initiatives. These patterns informed an adaptive zoning framework classifying riparian areas into four management categories: synergy, conflict, potential, and latent zones. …”
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