REGIONAL STRUCTURAL‐TECTONIC ZONING OF THE UPPER CRUST OF TRANSBAIKALIA BASED ON SEISMOGRAVITATIONAL DATA ALONG REFERENCE PROFILE 1‐SB by V. D. Suvorov, E. A. Melnik, E. V. Pavlov, A. S. Salnikov

“…Upper crust features revealed from seismic data agree with known geological structures, this indicating the basic applicability of refraction surveys to tectonically complex areas with 7 to 10 km wide low‐angle dipping fault zones between blocks marked by velocity anomalies to depths of 4–6 km. …”
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Detection of Structural Control on Formation Water Quality, in Hemrin Oilfield, northern Iraq, Using Lineament Analysis and Hydrochemical Data by Faraj Ahmed Al-Sulaiman, Sameer Shaker Abbas Al Fahdawi, Sabbar Abdullah Saleh Al Qaisy

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A continuous multi-night sleep database for exploring sleep structure similarity by Shaofei Ying, Junze Fu, Lin Wang, Haokai Zhang, Yue Yu, Hongqiong Wang, Jiaxin Xie, Tiejun Liu

“…Abstract The sleep structure of healthy adults varies across continuous nights but exhibits periodicity and regularity. …”
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A comprehensive dataset of therapeutic peptides on multi-function property and structure information by Baichuan Xiao, Yixiang Zhou, Long Zhao, Haodong Huang, Xuwen Fei, Yong-Biao Zhang

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Comparing physical analogue and traditional videos for learning and emotional engagement by Tingting Zhu, Rutwa Engineer, Xaria Prempeh, Anna Ly, Michelle Craig, Andrew Petersen

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Modeling and Data Analysis of Bistatic Bottom Reverberation from a Towed Horizontal Array by Zhaohua Su, Jie Zhuo, Chao Sun

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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

“…To address the issue of insufficient prediction accuracy in traditional GM(1,1) models caused by significant nonlinear fluctuations in time-series data for ancient building structural health monitoring, this study proposes a wavelet decomposition-based GM(1,1)-BP neural network coupled prediction model. …”
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A Bibliometric Analysis of International Structural Engineering Standards Using VOS Viewer by Andri Irfan Rifai, Darius Angtony, Ade Jaya Saputra, Joewono Prasetijo

“…The outcome indicates that “standards” and “structure” are still trending topics in global discourse. …”
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Change probability-aware graph for multimodal change detection by Te Han, Yuqi Tang, Yuzeng Chen, Yuqiang Guo, Bin Zou, Huihui Feng

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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

“…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

“…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

“…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…Both in the manufacture and operation of structural elements made of layered composite materials, interlayer defects may occur upon impact as a result of operation or violation of manufacturing technology, which significantly reduces the strength characteristics of such structures. …”
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Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs by Zhen Zeng, Yu Chen

“…This approach produces graph representations that capture direction-sensitive market dynamics and facilitate the extraction of meaningful topological features from price data. By applying the WL kernel, RVGWL quantifies structural similarities between graph-transformed time series, enabling the identification of structurally similar preceding patterns and the probabilistic forecasting of their subsequent trajectories based on nine canonical trend templates. …”
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Ensemble refinement of mismodeled cryo-EM RNA structures using all-atom simulations by Elisa Posani, Pavel Janoš, Daniel Haack, Navtej Toor, Massimiliano Bonomi, Alessandra Magistrato, Giovanni Bussi

“…An analysis of all RNA-containing structures deposited in the Protein Data Bank reveals that this issue affects most cryo-EM structures in the 2.5–4 Å range. …”
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Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…Abstract In the field of traditional hidden crack detection in metal structures, detection technologies are often limited by low sensitivity and imprecise data analysis. …”
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Modeling Asymmetric Shift in the Threshold Voltage of MOS Structures under Thermal Field Treatment by O. V. Aleksandrov, N. N. Morozov

“…The conducted comparison of the data calculated by the developed model and the experimental data reported in literature for the time dependencies of the threshold voltage shift of MOS structures with positive and subsequent negative gate bias determined the range of binding energies, the characteristic dispersion energy, the concentrations of impurity ions and traps near the gate and the silicon substrate, and the width of the region of their localization. …”
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The changes of left cardiac structure and function in the patients with non-dialysis chronic kidney disease and influencing factors by CHEN Cai-ming, CHEN Yuan, CHEN Yi, ZHANG Xiao-hong, WAN Jian-xin

“…Objective To analyze the changes of left ventricular structure and function in the patients with non-dialysis chronic kidney disease(ND-CKD)and the influencing factors.Methods The ND-CKD patients were enrolled from Jan.2013 to July 2014 in our hospital.All patients were subjected to echocardiography and the indexes were collected.Also the clinical data were collected.The indexes of left ventricular structure and function among different CKD groups were analyzed,and the correlation between the changes of cardiac structure and function were clinical data were also analyzed.Results 337 ND-CKD patients were enrolled,including 71 patients with CKD1 stage,37 patientswith CKD2 stage,28 patients with CKD3 stage,36 patients with CKD stage 4 and 165 patients with CKD stage 5.In pace with the progression of CKD,the data revealed that body mass index(BMI)and serum calcium were gradually declined(P<0.05),while blood urea nitrogen(BUN),serum creatinine(SCr),serum phosphorus,intact parathyroid hormone(iPTH)and Cystatin C gradually ascended(P<0.05).New bone metabolic markers revealed that in pace with the progression of CKD,25-(OH)-VitD gradually declined(P<0.05),but N-Osteocalcin(NOC),β-C-terminal telopeptide of typeⅠcollagen(β-CTX)and N-terminal peptide of typeⅠprocollagen(P1 NP)gradually ascended(P<0.05).Echocardiographic indexes revealed that in pace with the progression of CKD,left ventricular end diastolic dimension(LVDd),left ventricular end systolic dimension(LVDs),and left ventricular mass index(LVMI)gradually ascended(P<0.05)in cardiac structure,and SV gradually ascended(P<0.05)in cardiac function,while relative wall thickness(RWT),cardiac output(CO),left ventricular ejection fraction(LV-EF),fractional shortening(FS),and transmitral diastolic early peak inflow velocity/transmitral diastolic late peak inflow velocity(E/A)had no statistically significant difference,but E/A gradually declined and was less than1 after CKD2.Left ventricular geometric remodeling revealed that the normal LV geometry group gradually declined from CKD1 to CKD5,with84.5%,70.3%,64.3%,44.4%and38.2%respectively.The abnormal LV geometry groups gradually ascended from CKD1 to CKD5,and there were 32.1% with eccentric hypertrophy,15.2% with concentric hypertrophy,and 14.5% with concentric remodeling.Multiple linear regression revealed that the risk factors of RWT were age and serum phosphorus,the risk factor of LVDd was BMI,the risk factor of LVMI wasβ-CTX,the risk factor of SV was Cystatin C,and the protective factors of E/A were age,gender(female),Ca and BUN.Conclusions The left ventricular structure and function in the patients with ND-CKD were aggravated in pace with the progression of CKD.Age,renal function,serum phosphorus,serum calcium,iPTH,BMI andβ-CTX were related to the changes of left ventricular structure and function.…”
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Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys by Debsundar Dey, Suchandan Das, Anik Pal, Santanu Dey, Chandan Kumar Raul, Pritam Mandal, Arghya Chatterjee, Soumya Chatterjee, Manojit Ghosh

“…Within the dataset, 705 data were utilized to predict the crystal structures with the help of thermodynamics and electronic configuration as input features. …”
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