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2541
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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2542
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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2543
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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2544
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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2545
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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2546
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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2547
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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2548
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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2549
A Study of Reduction of Time-to-CED in GPS CNAV Message Structure With Reduced CED
Published 2025-01-01“…In a similar manner, this paper proposes an improved GPS CNAV message structure that incorporates reduced CED. By allocating reduced CED to each time slot, the TTFF is significantly reduced compared to the original GPS CNAV. …”
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2550
Development of Soft Tactile Sensor for Prostatic Palpation Diagnosis: Sensor Structure Design and Analysis
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2551
An investigation of organizational structure in selected hospitals of Tehran and its relationship with hospital performance indicators
Published 2016-07-01“…Materials and methods: This cross-sectional, descriptive–analytical study was conducted in 14 public hospitals in the city of Tehran. The organizational structure questionnaire (after confirmation of its validity and reliability) was used for data collection. …”
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2552
Disruptive innovation disclosure practices: Do board characteristics, ownership structure, and investor matter?
Published 2024-09-01“…Research aims: This study aims to analyze the effect of board characteristics, ownership structures, and investors on disruptive innovation disclosure in the annual reports of companies in Indonesia. …”
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2553
Monetary policy, debt maturity structure and corporate investment efficiency: Evidence from China.
Published 2025-01-01“…This paper examines the impact of monetary policy on corporate investment efficiency from the perspective of debt maturity structure by selecting data on Chinese non-financial listed firms and Chinese macroeconomic data from 2007-2022. …”
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2554
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2555
Validation of Genderism and Transphobia Scale Indonesian Version: Short Version, Factor Structure, and Reliability
Published 2025-04-01“…Study II evaluated the internal structure of the GTS-SV using the same analytical methods. …”
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2556
COMPREHENSIVE ANALYSIS OF ASSETS IN AGRICULTURAL HOLDINGS: STRUCTURE, IMPACT ON FINANCIAL CONDITION AND SUBSIDY EFFECTS
Published 2025-01-01“…The present study analyses the relationship between asset structure and financial sustainability of agricultural holdings in Bulgaria, using data from the Farm Accountancy Data Network (FADN) for the period 2014-2020. …”
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2557
Short tandem repeat variants are possibly associated with RNA secondary structure and gene expression.
Published 2025-01-01“…We hypothesize that effects on RNA structure can be predicted using computational tools and associated with gene expression using DNA and RNA sequencing data. …”
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2558
The Nonlinear Vibration Response of Umbrella-Shaped Membrane Structure Under Heavy Rainfall Loads
Published 2025-07-01“…Data and methods are provided for the design and construction of the membrane structure as a reference. …”
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2559
INFLATION VOLATILITY, FDI INFLOWS, AND CAPITAL STRUCTURE DECISIONS IN SOUTH AFRICAN MANUFACTURING FIRMS
Published 2025-06-01“…This study investigates the impact of inflation volatility and foreign direct investment (FDI) inflows on the capital structure decisions of manufacturing firms listed on the Johannesburg Stock Exchange (JSE) from 2012 to 2023, using the debt-to-equity ratio as the dependent variable. …”
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2560
Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions
Published 2025-02-01“…<b>Methods:</b> This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data. The framework leverages graph-based protein representations and variational autoencoders (VAEs) to extract structural embeddings from protein graphs, which are then fused through a Bi-directional Cross-Attention module to predict interactions. …”
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