COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS by Liubava Chernova, Lyudmyla Chernova

“…The article also considers the possibility of the main provisions of the theory of knowledge management in the educational process, as improving the quality of training is the goal of any educational system. The article develops a cognitive model of the knowledge management mechanism, on the basis of cognitive analysis revealed useful patterns that reflect the influence of factors of different physical nature on the results of training. …”
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3D-Printed Self-Assembling Helical Models for Exploring Viral Capsid Structures by Donald Plante, Keegan Unzen, John R. Jungck

“…Expanding on prior work with 3D-printed self-assembling spherical capsids, we developed helical models that integrate geometric parameters and magnetic interactions to mimic key features of the assembly process of helical viral capsids. …”
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Methodological approach to evaluation the level of a university organizational culture by E. V. Kotov, Yu. O. Roschina

“…The purpose of the study was to identify the features and patterns in the formation and implementation of the organizational culture of the university of humanitarian profile. …”
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A Turkish Word Frequency Tool: LexiTR Frequency by Taner Sezer, Özay Karadağ

“…Word frequency plays a critical role in understanding the characteristics and usage patterns of a word. This study introduces the "Turkish Word Frequency Tool" (TWFT), developed as part of the LexiTR Project, along with its features. …”
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Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model by Klavdia Zemlianova, Amitabha Bose, John Rinzel

“…We develop a reduced three-variable rate model of the RNN and analyze its dynamic properties. …”
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Early Digital Engagement Among Younger Children and the Transformation of Parenting in the Digital Age From an mHealth Perspective: Scoping Review by Nafisa Anjum, Md Mehedi Hasan, Nursat Jahan, Sheikh Iqbal Ahamed, Allison Garefino, Nazmus Sakib

“…Synthesized data were scrutinized to detect patterns, variances, and reasonable recommendations. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…Our approach leverages a combination of advanced feature embedding techniques. We extract multi-source protein information from primary sequences, employing FastText for discriminative subword-level patterns and ProtBERT (a protein large language model) for contextualized sequential features. …”
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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…However, the degradation data of WTs exhibit complex patterns and are often interfered with by noise, making it challenging to extract meaningful features from the data. …”
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IMPROVING THE STRATEGIC PLANNING OF THE DEFENSE-INDUSTRIAL COMPLEX CORPORATIONS OF RUSSIA by Katrina B. Dobrova

“…The relevance of the study due to the fact that the methodology for the adaptation of the strategic management of the military-industrial enterprises with substantial scientifi c and technical potential, should take into account a number of features, such as the identifi cation of the features of competition in the future; understanding of the prospects and development opportunities in the medium and long term; assessment of resource potential; impact assessment and risk in the implementation of promising strategies. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…Furthermore, a fusion attention mechanism with asymmetric query-key-value matrices is introduced to dynamically fuse historical wind power temporal patterns with refined NWP features, optimizing prediction outcomes. …”
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Clinical and pathological analysis of primary well-differentiated neuroendocrine tumors in the kidney- a case series by Dan Yuan, Jing Wu, Dong-Yue Wang, Jin-Jing Wang

“…Abstract Objective To investigate the clinicopathological characteristics and key diagnostic/therapeutic features of primary well-differentiated neuroendocrine tumors (WDNET) of the kidney. …”
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De l’hypothese de Sapir-Whorf au prototype : sources et genese de la theorie d’Eleanor Rosch. by Jean-Michel Fortis

“…This paper deals with the origins of the theory of categorization developed by Eleanor Rosch in the 1970s. It is divided into two parts. …”
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Construction and Evaluation of a Domain-Related Risk Model for Prognosis Prediction in Colorectal Cancer by Xiangjun Cui, Yongqiang Xing, Guoqing Liu, Hongyu Zhao, Zhenhua Yang

“…Validation confirmed their prognostic value, with significant differences in survival, clinical features, immune patterns, and immunotherapy responses between the high- and low-risk groups. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…They can also vary from person to person, which makes it harder to extract features and understand the signals. Additionally, this variability, influenced by genetic and cognitive factors, presents challenges for developing subject-independent solutions. …”
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Business-Model of the Organization in Economy of Knowledge by S. N. Kukushkin

“…The next important feature is connected with the fact that knowledge is not only transferred in the university but it is developed there. …”
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CINEMA SPACES: AN IMAGINATIVE WORLD OF THE CULTURAL LANDSCAPE. REVIEW OF THE 6TH INTERNATIONAL SCIENTIFIC CONFERENCE “GEOGRAPHY OF ART” / ПРОСТРАНСТВА КИНО: ОБРАЗНЫЙ МИР КУЛЬТУРНОГ... by LAVRENOVA OLGA A. / ЛАВРЕНОВА О.А.

“…It traditionally considers not only spacing of artifacts and monuments over the earth’s surface, but also specific features related to the reflection of geographical space in art and creation of fantasy worlds in which the dependence on consistent patterns of the real world formation can easily be traced. …”
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Graph-text contrastive learning of inorganic crystal structure toward a foundation model of inorganic materials by Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura

“…We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on the CLICS feature space, through experiments of concept prediction from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.…”
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A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network by Kok Poh Wai, Chai Hoon Koo, Yuk Feng Huang, Woon Chan Chong, Ahmed El-Shafie, Mohsen Sherif, Ali Najah Ahmed

“…The CNN-LSTM model effectively extracts inter-parameter features and learns temporal patterns, achieving strong five-step ahead forecasting performance. …”
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Coexistence or a related condition: an infant with retinoblastoma and Gaucher disease by Burcu Berberoğlu-Ateş, Ali Varan, Hülya Demir, Canan Akyüz, Aysel Yüce

“… Gaucher disease (GD) is the most prevalant lysosomal lipid storage disease that results from loss of function of acid β-glucosidase due to mutations in the glucocerebrosidase gene. Common features of all types of GD include hepatosplenomegaly, cytopenia, and various patterns of bone and lung involvement. …”
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Digital Storytelling for People With Cognitive Impairment Using Available Mobile Apps: Systematic Search in App Stores and Content Analysis by Di Zhu, Abdullah Al Mahmud, Wei Liu, Dahua Wang

“…The analysis revealed patterns in platform diversity and geographical distribution of developers, with apps available on both iOS and Android. …”
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