Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

Subjects: “…structured data generation…”
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

“…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

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Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas by Laura Loredana Micoli, Umair Shafqat Malik, Gabriele Guidi

“… This paper presents a methodology for the virtual reconstruction of no longer existing archaeological structures, focusing on cases where the remains are concealed within contemporary urban environments. …”
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Natural Language Interfaces for Structured Query Generation in IoD Platforms by Anıl Sezgin

“…The results demonstrate that combining retrieval-augmented semantic grounding with structured validation bridges the gap between human intent and complex UAV data access, improving usability while maintaining a practical level of operational reliability.…”
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Acute Issues of Cognitive Modeling of Semi-Structured and Poorly Formalized Systems by A. A. Mikryukov, M. E. Mazurov, D. A. Suzdalsky, K. E. Chikunov

“…The article studies specific features of mathematic tools of cognitive modeling meant to resolve tasks of analyzing functioning and forecasting the development of semi-structured and poorly formalized systems. Semi-structured systems are complicated dynamic systems, where human factor plays an important role. …”
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Fast crosstalk precoder based on structured matrix splitting for downstream transmission by LI You-ming, SHEN Wei, WANG Rang-ding, LI Xin-miao

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Enhancing Structured Pathology Report Generation With Foundation Model and Modular Design by Kyung A Kim, Sungman Hong, Sehwan Yoo, Yousun Kang, Hyo Sup Shim

“…By systematically integrating foundation models and modular structure, the benchmark results demonstrate that the task can be effectively solved with limited data and computational resources, indicating promising potential for real-world clinical adaptation.…”
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Integrating the Transpersonal Approach Into Counselling: A Semi-Structured Phenomenological Inquiry by Malini Turner

“…Interpretative phenomenological analysis (IPA) was used to examine the data gained through semi-structured interviews with four social worker-counsellors. …”
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Structured Industry Workshops as Methodology: Researching National Screen Agencies and Policies by Eva Novrup Redvall, Inge Ejbye Sørensen

“…This article explores the advantages of ‘structured industry workshops’ as a methodology for obtaining nuanced empirical data about the practices and ‘behind the scenes’ workings of national screen agencies, organizations, institutions and stakeholders. …”
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Structured Self-Rated Response to Iontophoresis with Verapamil and Dexamethasone in Peyronie’s Disease by Abas Kokab, Kevan Wylie, Patricia Allen, Abhijeeth Shetty, Debbie Davies-South

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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network by Sara Lafia, Lizhou Fan, Andrea Thomer, Libby Hemphill

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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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Hierarchical data structures in rendering scenes containing a massive number of light sources by Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-Sobieraj

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…The approach is based on component‐level, depth–damage curves derived from experimental analysis. Structures with standard residential construction materials typical to the south‐eastern United States were built and incrementally flooded for short durations. …”
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Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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Loop Invariants Elimination for Definite Iterations over Unchangeable Data Structures in C Programs by I. V. Maryasov, V. A. Nepomniaschy

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Nutrition Users’ Guides: an introduction to structured guides to evaluate the nutrition literature by Gordon H Guyatt, Bradley C Johnston, Malgorzata M Bala, Kevin C Klatt, Mary Rozga, Rosa K Hand, Deepa Handu

“…In addition, NUGs will provide comprehensive teaching materials for nutrition trainees on how to appraise, interpret and apply the research evidence.We hereby introduce a series of structured NUGs for the literature on nutrients, foods and dietary patterns and programmes. …”
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