Innovative Technologies for Using Satellite Imagery to Assess the Oil and Gas Potential of the Velichaevsko-Kolodeznoye Field by D. V. Lapta, V. M. Kharchenko

Subjects: Get full text

Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
Get full text

Advancing macromolecular structure determination with microsecond X-ray pulses at a 4th generation synchrotron by Julien Orlans, Samuel L. Rose, Gavin Ferguson, Marcus Oscarsson, Alejandro Homs Puron, Antonia Beteva, Samuel Debionne, Pascal Theveneau, Nicolas Coquelle, Jerome Kieffer, Paolo Busca, Jeremy Sinoir, Victor Armijo, Marcos Lopez Marrero, Franck Felisaz, Gergely Papp, Herve Gonzalez, Hugo Caserotto, Fabien Dobias, Jonathan Gigmes, Guillaume Lebon, Shibom Basu, Daniele de Sanctis

“…After validating the use of different sample delivery methods with various model systems, we applied SµX to an integral membrane receptor, where only a few thousands diffraction images were sufficient to obtain a fully interpretable electron density map for the antagonist istradefylline-bound A2A receptor conformation, providing access to the antagonist binding mode. …”
Get full text

Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

“…The integration of these three transformations on the magnetic data is sufficient to interpret the position, direction, and depth of subsurface structures in the research area. …”
Get full text

Analyzing Structural and Physical Changes and the Future of Tehran’s Urban Fringe (The Case: The Fringe of District 22 of Tehran Municipality) by Taher Parizadi, Ali Shamaei

“…To identify the drivers of future changes, a structural-interpretive model has been implemented using Mic-Mac software. …”
Get full text

Machine learning‐guided plasticity model in refractory high‐entropy alloys by Shang Zhao, Jinshan Li, Weijie Liao, Ruihao Yuan

“…Through feature selection techniques, a critical subset of features is identified, enabling a support vector classification model to achieve 96% prediction accuracy. Additionally, an interpretable machine learning algorithm is employed to derive explicit functional expressions describing the relationship between key features and fracture strain, achieving 88% accuracy. …”
Get full text

Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

Get full text

A Possible Metal-dominated Atmosphere below the Thick Aerosols of GJ 1214 b Suggested by Its JWST Panchromatic Transmission Spectrum by Kazumasa Ohno, Everett Schlawin, Taylor J. Bell, Matthew M. Murphy, Thomas G. Beatty, Luis Welbanks, Thomas P. Greene, Jonathan J. Fortney, Vivien Parmentier, Isaac R. Edelman, Nishil Mehta, Marcia J. Rieke

“…We tested the sensitivity of our interpretation to various assumptions for uncertain haze properties, such as optical constants and production rate, and all models tested here consistently suggest extremely high metallicity. …”
Get full text

SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

Get full text

Research on Fault Stability in Junggar Basin Based on 3D Geological Modeling by XIONG Yuwei, ZHANG Yan, MA Jinyu, LI Zhe, LEI Cheng, SUN Wentie

Get full text

Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

“…Features were derived from a functional template, and hierarchical SHAP-based feature selection improved model accuracy and interpretability. In the test set, the Extra Trees and logistic regression models based on the functional template demonstrated an improved accuracy rate of 95.65% and an AUC of 99%. …”
Get full text

Structural Attributes Injection Is Better: Exploring General Approach for Radar Image ATR with a Attribute Alignment Adapter by Xiaolin Zhou, Xunzhang Gao, Shuowei Liu, Junjie Han, Xiaolong Su, Jiawei Zhang

“…To address this issue, we first integrate the knowledge of structural attributes into the training process of an ATR model, providing both category and structural information at the dataset level. …”
Get full text

A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…This score, along with structured features, was used to train a Random Forest classifier. …”
Get full text

Exploration of ductility for refractory high entropy alloys via interpretive machine learning by Shaolong Zheng, Lingwei Yang, Liyang Fang, Chenran Xu, Guanglong Xu, Yifang Ouyang, Xiaoma Tao

Get full text

Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

“…By combining a multi-level basket model with co-word network analysis and open-source R scripts, users can quickly generate interpretable, cluster-based dominance diagrams. …”
Get full text

Timed Interpreted Systems as a New Agent-Based Formalism for Verification of Timed Security Protocols by Agnieszka M. Zbrzezny, Olga Siedlecka-Lamch, Sabina Szymoniak, Andrzej Zbrzezny, Mirosław Kurkowski

“…The method, which is novel and reliable, uses an extension of interpreted systems, accessible semantics in multi-agent systems, and timed interpreted systems (TISs) with dense time semantics to model TSP executions. …”
Get full text

DYNAMIC PHYSICAL-GEOLOGICAL MODEL OF THE FIELD OF DIAMONDS FROM THE KOMSOMOLSKAYA KIMBERLITE PIPE (ALAKIT-MARKHA FIELD OF WESTERN YAKUTIA) by K. M. Konstantinov, A. S. Gladkov

“…Petrophysical, tectonophysical and paleomagnetic studies were done on the field of diamonds from the Komsomolskaya kimberlite pipe to interpret the observed gravimagnetic field. As a result of studying the structural-material complexes (SMC) of the field, there was formed a dynamic physical-geological model (DPhGM). …”
Get full text

A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

“…Also, we have implemented the Explainable AI (XAI) algorithms to interpret the decision-making process of the ensemble models in terms of dominating features and the feature values. …”
Get full text

Naturalness indicators of forests in Southern Sweden derived from the canopy height model by Marco L. Della Vedova, Mattias Wahde

“…This study introduces a methodology for extracting a comprehensive and human-interpretable set of features from the Canopy Height Model (CHM) with a resolution of 1 meter. …”
Get full text

An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

Get full text