On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem by Eric Sakk, Ayanna Alexander

“…In this context, neural network mappings are constructed between protein training set sequences and their assigned structure classes in order to analyze the class membership of test data and associated measures of significance. …”
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Effects of Economic Policy Uncertainty on Manufacturing Structural Upgrading: Evidence from China by Renjing Hu, Yanyang Yan

“…Based on firm-level and province-level panel data from 1997 to 2018, this paper used a fixed effect panel data model and panel quantile regression model to investigate the effect of economic policy uncertainty on structural upgrading in manufacturing. …”
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Exploring the evolution of novel enzyme functions within structurally defined protein superfamilies. by Nicholas Furnham, Ian Sillitoe, Gemma L Holliday, Alison L Cuff, Roman A Laskowski, Christine A Orengo, Janet M Thornton

“…In order to understand the evolution of enzyme reactions and to gain an overview of biological catalysis we have combined sequence and structural data to generate phylogenetic trees in an analysis of 276 structurally defined enzyme superfamilies, and used these to study how enzyme functions have evolved. …”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…As it is not usually possible to collect data from damaged states of a large civil structure, using such algorithms for these structures may be impractical. …”
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AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Coastal defense structures play a crucial role in mitigating wave impacts; yet, existing breakwater designs often face challenges in balancing wave reflection, energy dissipation, and structural stability. …”
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The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime by Brian C. Brown, Aimee H. Fullerton, Darin Kopp, Flavia Tromboni, Arial J. Shogren, J. Angus Webb, Claire Ruffing, Matthew Heaton, Lenka Kuglerová, Daniel C. Allen, Lillian McGill, Jay P. Zarnetske, Matt R. Whiles, Jeremy B. Jones Jr., Benjamin W. Abbott

“…Across all these methods, the flow data showed low‐dimensional structure (i.e., simple and consistent patterns), suggesting that fundamental mechanisms are constraining flow regime. …”
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STRUCTURE OF PERIODONTAL TISSUE DISEASES IN WORKERS OF AGRICULTURAL PRODUCTION IN THE OPEN AND COVERED SOIL by V.T. Dyryk

“…Thus, as a result of the analysis of structure of periodontal disease depending on experience, in working in the conditions of contact with pesticides, on the closed soil investigated: • it is lower frequency of occurrence of intact periodontium all analtube intervals than in working of open soil and not contacting with pesticides; • it is lower frequency of occurrence of the initial forms of the inflammation of periodontal tissues (2,2 times) relatively to the obtained data in persons of the main group and the comparison group (1.3 times); • it is lower the incidence of primary generalized forms of periodontitis in relation to data of the comparison group (1.4 times) for the same number examined, compared with the values of the core group; • large frequency of occurrence of advanced forms of generalized periodontitis: in 1.6 times more than obtained data in the main group and in 3.3 times more than obtained data in the comparison group. …”
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables continuous monitoring and online damage identification. …”
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THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…Cadmium telluride (CdTe) semiconductor materials will be used to analyze the energy gap, lattice parameters, and error value of these cubical structured crystal materials. The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. …”
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Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…However, during the operation of track inspection vehicles, the profile data collected by the rail profile wear detection system based on linear structured light is often disrupted by noise from various outliers, leading to significant geometric variations in the rail profile calculation results. …”
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Measurement Technique and Result Analysis of Helicopter Rotor Blade Structural Vibration Load by Honglin Zhang, Zefeng Wang, Pinqi Xia

“…The measurement of helicopter rotor blade structural load amid flight has always been the difficulty in flight test. …”
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Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG by Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

“…The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data. A new hybrid approach to structure learning enables inference in large graphs. …”
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ANALYSIS OF SUPPLY STRUCTURE AND TRENDS OF FORMAL FUNDING OF AGRICULTURE IN NIGERIA (1992-2012) by Sylvanus Ibeabuchi OGBONNA, Charles Kelechi OSONDU

“…This study analyzed supply structure and trends of formal funding of agriculture in Nigeria. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…Crack classification in structural surfaces is critical for ensuring the safety and longevity of civil infrastructure. …”
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Factor structure of Pre‐Loss Grief‐12 in caregivers of people living with dementia by Juyoung Park, Hannah Levine, James E. Galvin

“…Confirmatory factor analysis (CFA) was performed to test the fit of the data from the caregivers and to assess the factor structure of the PG‐12 in order to evaluate pre‐loss grief accurately by identifying relevant items and eliminating items that are not appropriate for caregivers of persons with dementia. …”
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Investigating Knee Alignment and Foot Structure in Futsal Players with and without Hamstring Shortness by Homan Minoonejad, Reza Manteghi, Ehsan Tasoujian, Hossein Amiri

“…Objective: The purpose of this study was to investigate knee alignment and foot structure in futsal players with and without hamstring shortness. …”
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Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering by Wenqing Huang, Qingfeng Hu, Yaming Wang, Mingfeng Jiang

“…However, affine matrix learning is not very effective for segmenting multibody nonrigid structure from motion. To improve the segmentation performance and efficiency of the SSC algorithm in segmenting multiple nonrigid motions, we propose an algorithm that deploys the hierarchical clustering to discover the inner connection of data and represents the entire sequence using some of trajectories (in this paper, we refer to these trajectories as the set of anchor trajectories). …”
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IMPACT OF HIV INFECTION ON THE STRUCTURE OF NEW TUBERCULOSIS CASES DETECTED IN THE CITY OF MOSCOW by E. M. Bogorodskaya, M. V. Sinitsyn, E. M. Belilovsky, S. E. Borisov, E. A. Kotova

“…Despite the overall reduction in the part of HIV positive cases among tuberculosis cases in Moscow, the obtained data highlight the significant impact of concurrent HIV infection on tuberculosis incidence and structure of new cases of tuberculosis.…”
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Structural and Dynamic Analysis of the Human Capital Health Component of the Socio-Economic System by K. Ketova, D. D. Vavilova

“…A numerical analysis of the structure and dynamics of the state of health of the population is carried out on the example of the Udmurt Republic, using primary modern data reflected in the system of state statistical accounting for the period 2000-2018.Results. …”
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