Linguocognitology & Systemology: Integrativity in actu (Theoretical and Methodological Aspects of Interaction) by D. M. Mironova

“…The work proposes a structural and logical organization of the method of cognitive- systemological interpretation in the form of a number of procedures.Conclusion. …”
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A MODEL FOR ASSESSING SHIPPING SAFETY WITHIN PROJECT-ORIENTATED RISK MANAGEMENT BASED ON HUMAN ELEMENT by Svitlana ONYSHCHENKO, Yuriy BYCHKOVSKY, Oleksiy MELNYK, Oleg ONISHCHENKO, Martin JURKOVIČ, Viacheslav RUBSKYI, Kostiantyn LIASHENKO

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A Cluster‐Based Deep Learning Model Perceiving Series Correlation for Accurate Prediction of Phonon Spectrum by Chao Liang, Yilimiranmu Rouzhahong, Shunwei Yao, Junhao Liang, Chunlin Yu, Biao Wang, Huashan Li

“…The transferable and interpretable CSGN model advances ML predictions of spectral properties and reveals the potential of designing ML methods based on physical mechanisms.…”
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Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences by Jana Uher

“…These crucial epistemic differences are elaborated using Rosen's general model of measurement, involving the coherent modelling of the (1) objects of research, (2) data generation (encoding), (3) formal manipulation (e.g., statistical analysis) and (4) result interpretation regarding the objects studied (decoding). …”
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Modern art visual characteristic transformation to a full-scale model by first-year architecture students by Marchelia Gupita Sari, Ardi Makki Pantow Gunawan

“…Discussion with peers is needed to support the learning process. Full-scale model in model-making helped the students to understand the structure logic and imagine the real environment. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…The impedance-based method is favored by engineering because it can analyze system stability under conditions with the unknown device control structure or parameters. Considering that the impedance characteristics of AC grid-connected equipment represented by power electronic converters are easily affected by the AC steady-state operating point, quickly deriving an impedance model for any operating condition of the converter using black-box identification can greatly improve the efficiency of stability analysis. …”
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Biot’s coefficient in terrigenous section: research methods and practical significance by V. S. Kuleshov, V. А. Moreva, M. I. Samojlov, A. Ju. Kudymov, N. A. Rasputin

“…The results are of practical importance for ensuring the stability of boreholes and modeling hydraulic fracturing processes.…”
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Research progress and implications of the application of large language model in shared decision-making in China’s healthcare field by Xuejing Li, Xuejing Li, Xuejing Li, Sihan Chen, Sihan Chen, Sihan Chen, Meiqi Meng, Meiqi Meng, Meiqi Meng, Ziyan Wang, Ziyan Wang, Ziyan Wang, Hongzhan Jiang, Hongzhan Jiang, Hongzhan Jiang, Yufang Hao, Yufang Hao, Yufang Hao

“…However, LLMs still face limitations in localization, decision-chain completeness, and handling complex scenarios, particularly in understanding traditional Chinese medicine (TCM) knowledge and supporting family-oriented decision-making models. Future efforts should focus on constructing integrated knowledge graphs of biomedicine and Traditional Chinese Medicine, optimizing multi-layered expression capabilities, and improving model interpretability to promote LLMs’ in-depth application in SDM within China, ultimately enhancing healthcare quality and patient satisfaction.…”
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Designing and Validating an Educational Model of Accounting Graduate Students in the Knowledge and Skills Required in Qualitative and Quantitative Research by Akram Taftiyan, Nasrin Alraji, Fatemeh Mansouri Mohammad Abadi

“…In the theme analysis section, 8 main categories were identified in the form of 30 sub-categories and 196 concepts. Structural equation approach with Smart PLS software was used for quantitative data analysis and model validation. …”
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Cyclic Learning Rate U-Shaped ResNet Embedded With Dual Attentions for Velocity Model Building by Chaobo Zhu, Zhiguo Wang, Feipeng Li, Huai Zhang, Jinghuai Gao

“…An encoder–decoder structure is then used to estimate velocity from the processed recordings. …”
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Early identification on failure mode of loess landslide: insight from case study and physical model experiment by Ran Li, Ran Li, Ran Li, Jiangkun He, Han Zheng, Chenyuan Zhang, Shuai Zhang, Shuai Zhang, Shuai Zhang

“…Therefore, investigating the deformation and failure characteristics of loess landslides under different failure modes is crucial for providing a scientific foundation for early hazard detection and the accurate assessment of risk profiles.MethodsThis work examines the pre-slip deformation and post-slip damage characteristics of the rotational-sliding Huzhu Landslide and the translational-sliding Zhongzhai Landslide through a combination of field investigations, unmanned aerial vehicle surveys, and remote sensing interpretation. Physical model tests were conducted to simulate the instability and failure processes of both rotational and translational loess landslides. …”
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Effects of physical activity and resilience on emotional and behavioral problems in Chinese adolescent: a chained mediation model by YiJie Shi, Wei Zhao, Mariusz Lipowski

“…Structural equation modeling with 5,000 bootstrap resamples (PROCESS Model 6) tested three mediation pathways: (1) Parenting → PA → EBPs; (2) Parenting → Resilience → EBPs; (3) Parenting → PA → Resilience → EBPs.ResultsEmotional warmth significantly predicted reduced EBPs through increased PA (B = 0.862, p < 0.001) and resilience (B = 0.571, p < 0.001), with PA demonstrating the strongest independent mediation (effect = 0.544, 95% CI [0.460, 0.629]). …”
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A MODEL OF THE ENGLISH-UKRAINIAN SUB-CORPUS OF TEXTS OF NATO, UN AND WTO OFFICIAL AND BUSINESS DOCUMENTS by Yuliya I. Demyanchuk

“…This academic article offers a model of the English-Ukrainian sub-corpus of texts of official and business documents of NATO, UN, and WTO (hereinafter referred to as the EUS) as a supplement to the Ukrainian National Corpus (hereinafter referred to as the UNC), where texts are presented as a hierarchical structure. …”
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Formation and placement of oil and gas traps within the junction area of Cis-Ural trough and West-Ural outer folding zone by L. I. Bondareva, A. V. Osipov

“…G., No. 15-RS in the interpretation of Makarevich V. N. The technique of structural-kinematic modeling was used, which allows reconstructing the structural evolution of fold-thrust zones.   …”
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On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages by Daniele Rossini, Danilo Croce, Roberto Basili

“…Unfortunately, most of such decision processes are epistemologically opaque as for the limited interpretability of the acquired neural models based on the involved embeddings. …”
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Measurement and analysis of fatigue crack deformation at the micro-scale by D. Nowell, K.I. Dragnevski, S.J. O’Connor

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Measurement and analysis of fatigue crack deformation at the micro-scale by D. Nowell, K.I. Dragnevski, S.J. O’Connor

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Explicating transcendental factors for viable digital business: Towards an explanatory model for digital start-up emergence by Emmanuel Okoro Ajah

“…The study advances the literature on digital business by developing a mechanisms-based theoretical model that outlines structures, enabling conditions, and generative mechanisms as transcendental factors. …”
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U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models by Claudiu Daniel Hromei, Danilo Croce, Roberto Basili

“…Our research shifts this approach, conceptualizing it as a sequence-to-sequence task where Language Models interpret and transform syntax into bracketed structures that reflect dependency graphs. …”
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Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils by Mawuko Luke Yaw Ankah, Shalom Adjei-Yeboah, Yao Yevenyo Ziggah, Edmund Nana Asare

“…Integrating high-performing machine learning models with interpretability tools significantly improves the accuracy and reliability of residual friction angle predictions, offering practical value for geotechnical engineering applications.…”
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