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2641
Design and Development of Multi-Parameter Long-Term Monitoring Cable Tube Structure in Underground
Published 2024-02-01“…The cable tube has a three-layer pipe structure. The data of DTS and distributed acoustic sensing technology (DAS) can be collected and transmitted simultaneously in the high-temperature wellbore environment. …”
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2642
Resolving Subsurface Structure with Magnetotelluric Method in the Urban Area of Pingtung County, Southwestern Taiwan
Published 2025-03-01“…This study presents the results of the Magnetotelluric (MT) survey aimed at resolving the subsurface structures in the northern part of the Pingtung Plain. …”
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2643
RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning
Published 2025-03-01“…Abstract RNAs are a vast reservoir of untapped drug targets. Structure-based virtual screening (VS) identifies candidate molecules by leveraging binding site information, traditionally using molecular docking simulations. …”
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2644
Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation
Published 2014-12-01“…We also show a correlation between efficiency and RNA structure calculated both computationally and from recent structure probing data, as well as the Kozak initiation motif, which may comprise a mechanism to regulate initiation.…”
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2645
A study of Electronic Structure in W–Cu Alloys by using RFA and FE models
Published 2018-05-01Get full text
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2646
Viral escape-inspired framework for structure-guided dual bait protein biosensor design.
Published 2025-04-01“…CTRL-V successfully identifies ~70% (five out of seven) single point mutations (371F, 373P, 440K, 445H, 456L) in the latest circulating KP.2 variant and offers detailed structural insights to the escape mechanism. While other data-driven viral escape variant predictor tools have shown promise in predicting potential future viral variants, they require massive amounts of data to bypass the need for physics of explicit biochemical interactions. …”
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2647
Structural changes in China's flow of funds (1992–2022): A Who-to-Whom model
Published 2025-03-01“…Our objective was to analyze structural changes in China's flow of funds and macroeconomic regulation. …”
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2648
Human Height’s Development in Midwestern Spain, 1856-2000: Health, Nutrition, and Economic Structure
Published 2025-03-01“…Data show important anthropometric growth in men recruited between 1856 and 2000 because of three major advances: the epidemiological transition, the nutritional transition, and structural change. …”
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2649
The Influence of Cash Turnover, Accounts Receivable Turnover, Capital Structure, and Profit Growth on Profitability
Published 2025-01-01“…In this empirical study of manufacturing businesses in the consumer products industrial sector listed on the IDX in 2019–2023, the impact of cash turnover, receivables turnover, capital structure, and profit growth on profitability is the main goal. …”
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2650
Financial Risk and Capital Structure: Does it Contribute to Increasing the Company Value of Islamic Banking?
Published 2022-06-01“…This study aimed to determine the effect of financial risk and capital structure on the company value of Islamic commercial banks in 2016-2020. …”
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2651
Understanding Newton's Third Law: A Study of Prospective Physics Teachers' Knowledge Structure
Published 2024-08-01“…In contrast, the qualitative data source comes from students' reasons for choosing answers, which are used to see the characteristics of knowledge structures. …”
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2652
SPECIFIC VELOCITY STRUCTURE OF THE UPPER MANTLE IN THE TRANSBAIKALIA SEGMENT OF THE MONGOLIA-OKHOTSK OROGENIC BELT
Published 2017-12-01“…The seismic data was used to contour an area with high velocity values in the mantle in the central part of the Mongolia-Okhotsk orogenic belt and the neighboring fold structures of Transbaikalia. …”
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2653
Relationship between serum Cystatin C and cardiac structure and function in peritoneal dialysis patients
Published 2015-01-01“…Objective To evaluate the relationship between serum Cystatin C(Cys-C) and the structure and function of the heart in peritoneal dialysis(PD) patients.Methods Forty-four patients subject to PD treatment for 3 months or more were included from March 2012 to February 2013 in Department of Nephrology,Jiangsu Provincial Hospital of TCM in the end stage of chronic kidney disease and in a stable condition.According to serum Cys-C levels,44 patients were divided into two groups:high Cys-C group(Cys-C>7.0 mg/L) and low Cys-C group(Cys-C≤7.0 mg/L).The clinical data(total Ccr,total Kt/V,serum creatinine,hemoglobin,serum albumin,total cholesterol,and triglycerides) were collected,serum Cys-C level was determined by latex-enhanced immunoturbidimetry,and left atrial diameter,left ventricular end-diastolic diameter,left ventricular end-systolic diameter,left ventricular posterior wall thickness,interventricular septal thickness,stroke volume and ejection fractions were measured by color Doppler ultrasound.The differences in the clinical data and the indexes of the heart between two groups were observed,and the relationship between Cys-C and clinical data or the indexes of the heart was analyzed.Results There was no significant difference in LAD,LVDd,LVDs and SV between two groups(P>0.05).LVPWT,IVST and LVMI were higher in high Cys-C group,but LVEF was higher in low Cys-C group(P<0.05),prompting high Cys-C patients had elevated left ventricular hypertrophy and decreased heart function.Pearson correlation analysis revealed that serum Cys-C levels were positively correlated with LVMI,and negatively with LVEF.Serum Cys-C levels were positively correlated with serum creatinine and dialysis age,but negatively with total Ccr.Conclusions The increase of Cys-C in PD patients can result in left ventricular systolic dysfunction and make left ventricular hypertrophy and ventricular remodeling.We can predict cardiovascular complications by assessing cardiac function and structural changes in PD patients.…”
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2654
Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination
Published 2025-01-01“…Here, we address this issue by employing a physics-informed deep learning (PIDL) approach that quantifies uncertainty in two-dimensional seismic velocity structure modeling and its propagation to hypocenter determination by introducing neural network ensembles trained on active seismic survey data, earthquake observation data, and the physical equation of wavefront movement. …”
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2655
Study of structural stability of a concrete gravity dam using a reliability approach�
Published 2022-07-01“…Dam safety is a priority at the international level, it requires a large amount of data that allows analysts to make optimization on its structural stability, the latter is based on the estimation of the probability of failure from the effects of stress and resistance acting on the dam-reservoir system. …”
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2656
Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger
Published 2020-05-01Get full text
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2657
Phytoplankton of the middle Caspian Sea: analysis of changes in the structure of the community over the past decades
Published 2022-10-01“…Analysis of changes in quantitative and structural indicators of phytoplankton in the western and central part of the middle Caspian Sea over the past decades, including according to remote sensing data.Material and Methods. …”
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2658
Simulation of three dimensional diffraction patterns as aid of structural analysis for complex epitaxial films
Published 2025-05-01“…This work sheds light on more effective data analysis of 3D-RSM, i.e., more effective structural characterization of complex epitaxial films.…”
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2659
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2660
Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression
Published 2024-12-01“… One main challenge in structural health monitoring is distinguishing between the effects of actual system changes and changing environmental conditions (EC) on the monitored parameters. …”
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