Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…Results showed that structural and physiological VIs significantly improved classification accuracy by 7–43% compared to the initial accuracy. …”
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Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

Subjects: “…data structures…”
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Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

“…Abstract Background This study examines gender differences in early childhood cognitive development in rural China, focusing on the role of sibling structure. While gender disparities have narrowed in recent decades, concerns remain regarding unequal household resource allocation in low- and middle-income countries, particularly in contexts shaped by traditional son preference. …”
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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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Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

“…Ongoing climate change has intensified fire disturbances in boreal forests globally, posing significant risks to forest ecosystem structure and function, with the potential to trigger major regime shifts. …”
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Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement by Eun-Taik Lee, Hee-Chang Eun

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Testing students' e-learning via Facebook through Bayesian structural equation modeling. by Hashem Salarzadeh Jenatabadi, Sedigheh Moghavvemi, Che Wan Jasimah Bt Wan Mohamed Radzi, Parastoo Babashamsi, Mohammad Arashi

“…Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. …”
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Demographic and Structural Features of The Foreign Students Obtaining Degrees at the Lomonosov Moscow State University by Taras S. Cherevko, Maria D. Putseva

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Structural, Vibrational, and Electronic Properties of the Glucoalkaloid Strictosidine: A Combined Experimental and Theoretical Study by Renyer Alves Costa, Maria Lucia Belem Pinheiro, Kelson Mota Teixeira de Oliveira, Andersson Barison, Kahlil Schwanka Salomé, Júlio Rodolfo Iank, Noam Gadelha da Silva, Tiara Souza Cabral, Emmanoel Vilaça Costa

“…The theoretical geometry optimization data were compared with the X-ray data for precursors and similar structures in the associated literature. …”
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The structural effects of evaluation types in the implementation process of the independent learning program in higher education by Bambang Budi Wiyono, Aan Komariah, Hendra Hidayat, Desi Eri Kusumaningrum

“…Questionnaires, interviews, and documentation were used as data collection techniques. Descriptive statistics, Structural Equation Modeling, and qualitative data analysis were used to process the data. …”
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New data on biology and captures of <i>Erimacrus isenbeckii</i> (Decapoda: Cheiragonidae) in the Shelikhov Bay (northern Okhotsk Sea) by D. V. Artemenkov, P. Yu. Ivanov, T. B. Morozov, D. O. Sologub

“…Molting, growth, sex and size structure of the crab are considered on the data collected in the Shelikhov Bay of the Okhotsk Sea in September-October, 2022. …”
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Structural changes in China's flow of funds (1992–2022): A Who-to-Whom model by Nan Zhang, Li Zhu

“…Our objective was to analyze structural changes in China's flow of funds and macroeconomic regulation. …”
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Study of structural stability of a concrete gravity dam using a reliability approach� by Mohamed Essaddik Kerkar, Mustapha Kamel Mihoubi

“…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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Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger by Yonghua LI, Yue XU, Fuyu ZHAO, Yue WU

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Simulation of three dimensional diffraction patterns as aid of structural analysis for complex epitaxial films by Yajun Tao, Erhao Peng, Qingyu He, Xinyan Chen, Jiangxiao Li, Yuting Wang, Yongqi Dong, Zhe Sun, Zhenlin Luo

“…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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Brain structural MRI marker for predicting conversion to Parkinson’s disease in individuals with prodromal symptoms by Chang-hyun Park, Uicheul Yoon, Phil Hyu Lee, Jinna Kim, Seung-Koo Lee, Na-Young Shin

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Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression by Britt Kahrger, Sören Möller, Clemens Jonscher, Tanja Grießmann, Raimund Rolfes

“… 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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Knowledge Graph as Pre-Training Corpus for Structural Reasoning via Multi-Hop Linearization by Wooyoung Kim, Haemin Jung, Wooju Kim

“…Knowledge Graphs provide a rich, structured source of relational data, offering an opportunity to enhance the reasoning capabilities of Large language models. …”
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Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method by Thanh-Cao Le, Duc-Duy Ho, Chi-Thien Nguyen, Thanh-Canh Huynh

“…This paper presents an improvement to the modal strain energy (MSE) method for identifying structural damages in plate-type structures. A two-step MSE-based damage localization procedure, including a global step and a local step, is newly proposed to enhance the accuracy of detecting the location of structural damage. …”
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Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis by Wafa’a Ta’an

“…Data collection occurred between September and November 2023 using sociodemographic, structural empowerment, and medical error questionnaires. …”
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