Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…This research presents a more robust, data driven, small‐scale, flood damage estimation approach for residential buildings. …”
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Gliclazide MR in the structure of antihyperglycemic therapy according to the data of Moscow region diabetes register by I. V. Misnikova, Yu. A. Kovaleva, V. A. Gubkina, A. V. Dreval

“…This requires clarification.Aim: To examine Moscow Region DM register data for assessing ongoing antihyperglycemic therapy and its correspondence to current local and international T2DM treatment recommendations, as well as actual clinical recommendations for the treatment of T2DM patients and COVID-19.Materials and methods: The structure of glucose-lowering therapy with non-insulin drugs (NID) was studied in T2DM patients according to the data T2DM register of Moscow region. …”
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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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Determination of the structure of the earth's crust by changing the velocity of seismic waves from the earthquake data by B. I. Shakhtarin, T. G. Aslanov, H. D. Magomedov, H. Yu. Tagirov

“…Objective. A study of the structure of the earth's crust by determining the velocities of seismic waves from previously broken sections of the earth's crust.Methods. …”
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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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Stock market trading via actor-critic reinforcement learning and adaptable data structure by Cesar Guevara

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Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data. by Katharina Waury, Stefan Lelieveld, Sanne Abeln, Henk-Jan van den Ham

“…A comprehensive comparison of the benefits and limitations of structure-based tools on realistic and diverse repertoire data is missing. …”
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AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

Subjects: “…company’s capital structure…”
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Change probability-aware graph for multimodal change detection by Te Han, Yuqi Tang, Yuzeng Chen, Yuqiang Guo, Bin Zou, Huihui Feng

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NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Objectives: To reconstruct age-structured case counts of COVID-19 using sentinel reporting, which replaced universal reporting of COVID-19 from May 2023 in Japan. …”
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Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus by Rosalind Ramsey-Goldman, Theresa L Walunas, Abel N Kho, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo

“…We implemented rule-based algorithms using structured data within the EHR system for each attribute of the three classification criteria. …”
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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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On Bornological Structure by Anwar.N.I, Sh.K.Said Husain

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RETRACTED: An Adaptive Hierarchical Network Model for Studying the Structure of Economic Network by Xiaoteng Yang, Zhenqiang Wu, Shumaila Javaid

“…In the presented dynamically evolving network model, new directed edges are generated depending on the existing nodes and the hierarchical structures among the network, and these edges decay over time. …”
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State of India's Birds 2023: A framework to leverage semi‐structured citizen science for bird conservation by Ashwin Viswanathan, Karthik Thrikkadeeri, Pradeep Koulgi, Praveen J., Arpit Deomurari, Ashish Jha, Ashwin Warudkar, Kulbhushansingh Suryawanshi, M. D. Madhusudan, Monica Kaushik, Naman Goyal, Rajah Jayapal, Suhel Quader, Sutirtha Dutta, Tarun Menon, Vivek Ramachandran

“…Semi‐structured data are generated and uploaded by birdwatchers to citizen science platforms such as eBird. …”
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Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha by Somalee Mahapatra, Manoranjan Dash, Subhashis Mohanty

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A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance by Wenjing Guo, Fan Dong, Jie Liu, Aasma Aslam, Tucker A. Patterson, Huixiao Hong

“…However, its effectiveness for unstructured data analysis in drug safety surveillance has not been thoroughly assessed. …”
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Damage Indicators for Structural Monitoring of Fiber-Reinforced Polymer-Strengthened Concrete Structures Based on Manifold Invariance Defined on Latent Space of Deep Autoencoders by Javier Montes, Juan Pérez, Ricardo Perera

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