Publishing neural networks in drug discovery might compromise training data privacy by Fabian P. Krüger, Johan Östman, Lewis Mervin, Igor V. Tetko, Ola Engkvist

“…Our findings highlight the need for careful consideration when sharing neural networks trained on proprietary chemical structures, informing organisations and researchers about the trade-offs between data confidentiality and model openness.…”
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Deep learning of structural morphology imaged by scanning X-ray diffraction microscopy by Aileen Luo, Tao Zhou, Martin V. Holt, Andrej Singer, Mathew J. Cherukara

“…Abstract Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges in experimental nanodiffraction data analysis is posed by the convergence angle of nanoscale focusing optics which creates simultaneous dependency of the far-field scattering data on three independent components of the local strain tensor—corresponding to dilation and two potential rigid body rotations of the unit cell. …”
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Interpretive Structural Modeling of Factors Affecting Organizational Ambidexterity in the Ministry of Sports and Youth by Ainolah Ahmadnejad Joghie, Mozafar Yektayar, Mozhgan Khodamoradpoor

“…The statistical population of this study consisted of experts who were selected purposefully based on theoretical saturation of 15 of them. Semi-structured interviews were used to collect data in the qualitative study and a questionnaire was used to collect data in the quantitative study. …”
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Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

“…The purpose of this study is to explore the application of Internet of things health monitoring system in steel structure construction management. In this study, through the use of example analysis, comprehensive data analysis and other methods, combined with steel structure health monitoring system and construction process management analysis. …”
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An open-source platform for structured annotation and computational workflows in digital pathology research by Luca Lianas, Mauro Del Rio, Luca Pireddu, Oskar Aspegren, Francesca Giunchi, Michelangelo Fiorentino, Simone Leo, Renata Zelic, Per Henrik Vincent, Nicolas Destefanis, Daniela Zugna, Lorenzo Richiardi, Andreas Pettersson, Olof Akre, Francesca Frexia

“…However, currently available open-source annotation tools typically employ single-label approaches that provide a flat representation of whole-slide images (WSI), limiting their ability to capture the complexity of the diagnosis-significant elements in a detailed and structured way. Furthermore, the difficulty of strictly following precise review protocols and lack of provenance tracking during annotation processes can result in high variability and limit reproducibility and reusability of the collected data. …”
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Intelligent Identification of Structural Damage Based on the Curvature Mode and Wavelet Analysis Theory by Longsheng Bao, Yue Cao, Xiaowei Zhang

“…Data fitting is then performed to estimate the degree of structural damage. …”
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NEW HYDROGENOMOLYBDATO SnPh2 AND SnPh3 RESIDUE CONTAINING ADDUCT AND DERIVATIVE: SYNTHESIS AND INFRARED STUDY by SERIGNE FALLOU POUYE, IBRAHIMA CISSE, LIBASSE DIOP, LAMINE A. DIOP

“…Three new organostannic complex, adduct and derivative have been synthesized and studied by infrared. Dimeric structures involving the cations were suggested on the basis of infrared data. …”
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Comparative Evaluation of Results on Test of Concrete Beams with Fiberglass Rebar and Calculated Data by N. V. Begunova, V. P. Grahov, V. N. Vozmishchev, I. G. Kislyakova

“…Data of the investigations are necessary for understanding behavior of structures and possibility of their application in the objects of capital construction. …”
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Feasibility study of structured diagnosis methods for functional dyspepsia in Korean medicine clinics by Jeong Hwan Park, Soyoung Kim, Jae-Woo Park, Seok-Jae Ko, Sanghun Lee

“…Despite the large number of FD patients visiting KM clinics, the accumulated medical records have no utility in evidence development, due to being unstructured. This study aimed to construct a standard operating procedure (SOP) with appropriate structured diagnostic methods for FD, and assess the feasibility for use in KM clinics. …”
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Predictive modeling of visible-light azo-photoswitches’ properties using structural features by Said Byadi, P. K. Hashim, Pavel Sidorov

“…Abstract In this manuscript we present the strategy for modeling photoswitch properties (maximum absorption wavelength and thermal half-life of photoisomers) of visible-light azo-photoswitches using structural data. We compile a comprehensive data set from literature sources and perform a rigorous benchmark to select the best feature type and modeling approach. …”
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

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Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

“…Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. …”
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Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration by Pushpendra Raghav, Mukesh Kumar, Yanlan Liu

“…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
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Empirically derived crop coefficient values for tomatoes grown in protected structures under climatic condition of Jalandhar, Punjab by VIKAS SHARMA, NITIN M. CHANGADE

“…However, these values may not fully account for the unique microclimatic variations within protected structures, creating a need for adjusted Kc values. …”
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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

“…This research aimed to develop a methodology for training an artificial intelligence (AI) system to predict the effects of retrofitting on civil structures, using data from the KW51 bridge (Leuven). …”
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The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction by Chenyue Zhang, Qinxin Wang, Yiyang Li, Anqi Teng, Gang Hu, Qiqige Wuyun, Wei Zheng

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Numerical Modelling and Damage Assessment Criteria for FRP-Retrofitted RC Columns by Inês Sousa, Rita Peres, Rita Couto, Rita Bento, José Miguel Castro

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Comparative Performance Assessment of RCS Connections Across Different Generations of ASCE Guidelines by Elmira Tavasoli Yousefabadi, Mohammad Taghi Kazemi

“…The hybrid moment-resisting frames, comprising Reinforced Concrete columns and Steel beams (RCS), have attracted attention due to potential cost savings and enhanced structural characteristics. The ASCE Task Committee on Design Criteria for Composite Structures issued early guidelines for RCS joint design, primarily applicable to low seismicity regions. …”
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Risk Assessment of Water Structure Projects Using Fuzzy Multi-Attribute Decision-Making Methods: Fuzzy OWA and Fuzzy SAW (Case Study: S1 Wellhead Platform in the Salman Oil Field) by Ali Khazaee, Mahdi Naseri

“…Risk management in large-scale water and marine structure projects, such as the construction of oil platforms, is essential due to the multiple uncertainties and extensive environmental and human factors involved. …”
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Stiffeners (Khashkhāshi) in the Design of Iranian Detached Double-Shell Onion Domes: Rethinking the Definition based on the Study of Structural Form by Hadi Safaeipour

“…Stiffeners, called khashkhāshi in Persian, are brick structural elements constructed between the two shells. …”
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