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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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…Rocking foundation is an unorthodox seismic design philosophy of structures that enhances the performance of structures by absorbing and dissipating seismic energy into soil. …”
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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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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

“…To address this, we present MaxComp, an unsupervised method, for inferring single-cell A/B compartments based on 3D geometric considerations in single-cell chromosome structures-derived either from multiplexed FISH-omics imaging or 3D structure models derived from Hi-C data. …”
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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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Spatiotemporal Deformation Prediction Model for Retaining Structures Integrating ConvGRU and Cross-Attention Mechanism by Yanyong Gao, Zhaoyun Xiao, Zhiqun Gong, Shanjing Huang, Haojie Zhu

“…With the exponential growth of engineering monitoring data, data-driven neural networks have gained widespread application in predicting retaining structure deformation in foundation pit engineering. …”
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Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging by FU Yafeng, HUANG Ke, ZHU Hanbin, WANG Hui, ZHANG Xu, ZHAO Jie, XIAO Ni

“…Finally, these features are used to train an extreme gradient boosting (XGBoost) model, enabling the automatic classification of different geological structures. Validation using actual carbonate logging data shows that the classification accuracy of this method exceeds an 80% agreement rate with core observations. …”
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A Numerical Approach to Calculate the Radiation Efficiency of Baffled Planar Structures Using the Far Field by Mario A. GONZÁLEZ-MONTENEGRO, Roberto JORDAN, Arcanjo LENZI, Jorge P. ARENAS

“…In this work a different approach is used, based in the so-called Propagating Matrix, which is useful for calculating the sound pressure of an arbitrary number of points into free space, and it can be employed to estimate the sound power by integrating over a finite number of pressure points over a hemispherical surface surrounding the vibrating structure. Through numerical analysis, the advantages/disadvantages of the current method are investigated, when compared with numerical methods based on near field data. …”
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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…To reduce the output volume, the RLE algorithm and integral arithmetic coding are adapted to the new structure of the input data. Thus, the method of linearization of two-dimensional transformants based on zig-zag scanning was further developed. …”
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Synthesis and structural study of the Linde Type-A zeolite prepared from kaolinite by Szilvia Ormándi, István Dódony

“…The measured hkl and intensity data sets are the inputs for structure determination. …”
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MODELING AND MATHEMATICAL PROCESSING OF GEODETIC LEVELING NETWORK WHILE MONITORING SETTLEMENT OF UNIQUE ENGINEERING STRUCTURES by D. V. Usov

“…The paper shows that reliability and trust of geodetic structure monitoring are related with new principles of leveling network construction, their testing and mathematical processing. …”
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Spearman Rank Correlation PCA for Mixed Scale Indicator in Structural Equation Modeling by Lisa Asaliontin, Eni Sumarminingsih, Solimun Solimun, Mohammad Ohid Ullah

“…Structural Equation Modeling (SEM) is a statistical modeling technique that integrates measurement models and structural models simultaneously. …”
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Determination of the enthalpy of evaporation of pentaerythritol esters of various structures using gas chromatographic retention characteristics by Yu. F. Ivanova, V. V. Emelyanov, S. V. Levanova, Yu. N. Telnov

“…The enthalpies of evaporation calculated based on the enthalpies of sorption and logarithmic retention indices within the limits of error of the correlation dependencies coincide with the literature data and the values predicted by the quantitative structure–property relationship method. …”
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Durability Test and Service Life Prediction Methods for Silicone Structural Glazing Sealant by Bo Yang, Junjin Liu, Jianhui Li, Chao Wang, Zhiyuan Wang

“…Silicone structural glazing (SSG) sealants are crucial sealing materials in modern building curtain walls, whose performance degradation may lead to functional and safety issues, posing significant challenges to building safety maintenance. …”
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Co-methylation networks associated with cognition and structural brain development during adolescence by Dawn Jensen, Dawn Jensen, Jiayu Chen, Jiayu Chen, Jessica A. Turner, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Jingyu Liu, Jingyu Liu, Jingyu Liu

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STRUCTURAL EQUATION MODELING MULTIGROUP INDIRECT EFFECTS ON BANK MORTGAGE PAYMENT TIMELINESS by Ulfah Maisaroh, Adji Achmad Rinaldo Fernandes, Atiek Iriany

“…Structural Equation Modeling (SEM) is a multivariate statistical method that is used to thoroughly explain the relationship between latent variables simultaneously. …”
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An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring by Tales Boratto, Heder Soares Bernardino, Alex Borges Vieira, Tiago Silveira Gontijo, Matteo Bodini, Dmitriy A. Martyushev, Camila Martins Saporetti, Alexandre Cury, Flávio Barbosa, Leonardo Goliatt

“…Structural health monitoring (SHM) is critical for ensuring the safety and longevity of structures, yet existing methodologies often face challenges such as high data dimensionality, lack of interpretability, and reliance on extensive label datasets. …”
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Structural and functional insights into the pilotin-secretin complex of the type II secretion system. by Shuang Gu, Saima Rehman, Xiaohui Wang, Vladimir E Shevchik, Richard W Pickersgill

“…Gram-negative bacteria secrete virulence factors and assemble fibre structures on their cell surface using specialized secretion systems. …”
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Structural Analysis of Farming Systems in Western Macedonia: A Cluster-Based Approach by Theodoros Siogkas, Katerina Melfou, Georgia Koutouzidou, Efstratios Loizou, Athanasios Ragkos

“…Agriculture remains a vital pillar of the regional economy, particularly in the context of RWM’s ongoing transition to a post-lignite development model. Using farm-level data from the 2018 Farm Accountancy Data Network (FADN), Principal Component Analysis (PCA) identified four latent dimensions of farm heterogeneity—income and productivity, asset base, land size, and labour structure. …”
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Legal culture in contemporary Serbia: Structural analysis of attitudes towards the rule of law by Vuković Danilo, Cvejić Slobodan

“…The article analyzes the support for the rule of law among Serbian citizens. The research data show that support for the rule of law depends on the structural socio-economic position of respondents and their position on the transition winners and losers scale i.e., the level of fulfillment of their interests in the new system. …”
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