Local structural–functional coupling with counterfactual explanations for epilepsy prediction by Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang

“…Specifically, we first construct structural and functional connections using diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) data, subsequently organizing them into a multimodal brain network. …”
Get full text

Neuroadaptive changes in brain structural–functional coupling among pilots by Xi Chen, Qingbin Meng, Qingsong Song, Peiran Xu, Shicong Zhang, Donglin Huang, Qi Chu, Jiamin Fan, Cheng Luo, Xiuyi Li

“…However, prior research has predominantly focused on identifying structural and functional differences in the brain, while the relationship between structure and function remains insufficiently elucidated.MethodsThis study collected T1-weighted structural magnetic resonance imaging (MRI), resting-state functional MRI (rs-fMRI), and diffusion tensor imaging (DTI) data from 47 pilots and 38 matched controls. …”
Get full text

Structural basis for Retriever-SNX17 assembly and endosomal sorting by Amika Singla, Daniel J. Boesch, Ho Yee Joyce Fung, Chigozie Ngoka, Avery S. Enriquez, Ran Song, Daniel A. Kramer, Yan Han, Esther Banarer, Andrew Lemoff, Puneet Juneja, Daniel D. Billadeau, Xiaochen Bai, Zhe Chen, Emre E. Turer, Ezra Burstein, Baoyu Chen

“…Here, we provide biochemical, structural, cellular, and proteomic analyses of the SNX17-Retriever interaction. …”
Get full text

Structural Assessment of Flexible Pavements Based on the Level of Detail of Management Functions by Edwin Antonio Guzmán Suárez, Diego Fernando Gualdrón Alfonso, Jorge Andrés Sarmiento-Rojas

“…Context: Pavement condition data are a fundamental component of pavement management systems (PMS) and play a critical role in structural evaluation. …”
Get full text

Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

Get full text

A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

Subjects: “…structural health monitoring…”
Get full text

Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

Subjects: “…data structures…”
Get full text

A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
Get full text

MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book “Die Maschinen-Industrie im Deutschen Reich”MADATA by Renat Shigapov, Thomas Schmidt, Jan Kamlah, Irene Schumm, Jochen Streb, Sibylle Lehmann-Hasemeyer

“…The unstructured extracted data was then structured and semantically enriched to enable data integration and reuse. …”
Get full text

High-Temperature X-Ray Crystal Structure Analysis of Schiff Base Cu(II) and Ni(II) Complexes and Data Statistics by Anna Okui, Rin Tsuchiya, Daisuke Nakane, Takashiro Akitsu, Toby J. Blundell

“…In this study, single crystals of previously reported Schiff base copper (II) (<b>Cu</b>) and nickel (II) (<b>Ni</b>) complexes were synthesized; a structural analysis was performed using data measured at high temperatures, 298 K and 410 K; and CIF and electron density maps were obtained. …”
Get full text

Geological structure and reservoir productivity of Pre-Jurassic basement rocks of the Sredne-Nazymskoye oil field (Western Siberia): new data by V. D. Shmakov, N. R. Kaskov, A. A. Bakulin, A. P. Shorokhova

“…The article deals with the development of technology for prospecting and exploration of hydrocarbon deposits in the Pre-Jurassic basement rocks of Western Siberian oil and gas province, as well as approaches to improving the reliability of mapping prospective zones using seismic data. Using the example of the Sredne-Nazymskoye field, the seismogeological aspects of the forecast of oil and gas potential of the Pre-Jurassic complex and the main directions for reducing the uncertainties of the geological structure are shown.…”
Get full text

Structure and Monitoring in the Seismic Activation Zone of the Gorlovskaya Depression of the Altai-Sayan Folded Region According to Electrical Resistivity Tomography Data by Nevedrova Nina, Shalaginov Aleksandr Evgen'evich, Shaparenko Il'ya Olegovich, Sanchaa Aydisa, Marinenko Arkadiy Vadimovich

“…The article considers the geoelectric structure of the Gorlovka depression in the area of the transition from its deposits to the Salair ridge, and also analyzes the results of monitoring carried out in 2023 by the electrical resistivity tomography method along a profile intersecting one of the fault structures. …”
Get full text

Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Here, we test an integrated geophysical‐petrological inversion of Rayleigh‐ and Love‐wave phase‐velocity curves for fine‐scale lithospheric structure. The main parameters of the grid‐search inversion are the lithospheric and crustal thicknesses, mantle composition, and bulk density and seismic velocities within the crust. …”
Get full text

Three‐dimensional density structure of La Soufrière de Guadeloupe lava dome from simultaneous muon radiographies and gravity data by M. Rosas‐Carbajal, Kevin Jourde, Jacques Marteau, Sébastien Deroussi, Jean‐Christophe Komorowski, Dominique Gibert

“…Here we jointly invert muon data from three simultaneous telescope acquisitions together with gravity data to estimate the three‐dimensional density structure of the La Soufrière de Guadeloupe lava dome. …”
Get full text

Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA) by Lei Wang, Yuan He, Tongwen Wang

“…This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. …”
Get full text

Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand by Qing Yu, Weifeng Li, Dongyuan Yang, Haoran Zhang

“…In this paper, a methodology framework is proposed to describe the spatial structure of commuting demand in a city using mobile phone data. …”
Get full text

Family structure factors influencing modern contraceptive use in Cameroon based on analysis of 2018–2019 demographic and health survey data by Samira Amadou, Myungken Lee, Jakyoung Lee, Sangyune Kim, Sunjoo Kang

Get full text

Remotely Sensing Phytoplankton Size Structure in the Mediterranean Sea: Insights from In Situ Data and Temperature-Corrected Abundance-Based Models by John A. Gittings, Eleni Livanou, Xuerong Sun, Robert J. W. Brewin, Stella Psarra, Manolis Mandalakis, Alexandra Peltekis, Annalisa Di Cicco, Vittorio E. Brando, Dionysios E. Raitsos

Get full text

Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis by Nicole Satherley, Andrew Sporle

“…We aimed to identify policy amenable socioeconomic factors associated with COVID-19 outcomes while adjusting for relevant individual factors and household structure. We also aimed to examine whether ethnic group differences are smaller when accounting for these socioeconomic factors and household structure. …”
Get full text

Observations of a middle atmosphere thermal structure over Durban using a ground-based Rayleigh LIDAR and satellite data by Nkanyiso Mbatha, Venkataraman Sivakumar, Hassan Bencherif, Sandile Malinga, Sadhasivan Pillay, Ashokabose Moorgawa, Max Michaelis

“…Observations of a middle atmosphere thermal structure over Durban, South Africa (29.9°S, 31.0°E) using the Durban Rayleigh Light Detection and Ranging (LIDAR) data collected over 277 nights from April 1999 to July 2004, including closest overpasses of the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) and Halogen Occultation Experiments (HALOE) satellites, are presented in this paper. …”
Get full text