EVALUATION OF SUBSOIL MASSIF STABILITY TAKING INTO ACCOUNT THE IRREGULARITY OF CONSTITUENT ROCKS ON THE BASIS OF A RANDOM SIZE AND FUNCTION MODEL by M. O. Allaev

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Scientometric analysis of metadata of articles on the topic "Yoga" by K.V. Tartynova

“…Text analytics was used using Orange Data Mining software to identify the structure and content of the scientific field on the topic "Yoga". …”
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Study on Change of Landscape Pattern Characteristics of Comprehensive Land Improvement Based on Optimal Spatial Scale by Baoping Feng, Hui Yang, Yarong Ren, Shanshan Zheng, Genxiang Feng, Yuwei Huang

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Analytical Verification of the Normal Vector Determination Methods for Planar Magnetic Structures by Wai-Leong Teh

“…Minimum variance analysis of magnetic fields (MVAB) is conventionally implemented to determine the normal vector of a planar magnetic structure (PMS) for which the average of the normal magnetic field component vanishes (i.e., $\left\langle {B}_{n}\right\rangle $ = 0). …”
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modeling approach of return and volatility of structured investment products with caps and floors by Jiaer He, Roberto Rivera

“…We propose a parametric modeling approach for structured products and apply it to PRIRAs. Our method first estimates the conditional expected return (and variance) of PRIRA assets from which we extract marginal moments through the Law of Iterated Expectation. …”
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Hydrological connectivity influences the aquatic metacommunity structure of an Arctic delta floodplain by Ryan W. Scott, Sapna Sharma, Xiaowa Wang, Roberto Quinlan

“…We sampled macroinvertebrate communities across the longitudinal span of the Delta and used three complementary analyses (variance partitioning, elements of metacommunity structure, and fourth corner analysis) to determine the relative influence of environmental versus spatial variation, metacommunity structure across dispersal modes, and the functional metacommunity structure. …”
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Landscape Heterogeneity and Island Identity as Drivers of Mesoscale Structure of Pollination Networks by Lazaros Neokosmidis, Yiannis G. Zevgolis, Panayiotis G. Dimitrakopoulos, Theodora Petanidou

“…An effective way to study overall indirect interactions in a network is through motif profiles, which represent the network’s mesoscale structure, as well as species’ structural roles, reflecting their participation in motifs. …”
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Cross-cultural adaptation and factor structure investigation of the Marital Forgiveness Scale by Endah Puspita Sari, Avin Fadilla Helmi, Arum Febriani

“…This study aims to adapt and examine the factor structure of the Marital Forgiveness Scale (MFS), a forgiveness instrument in the context of marriage. …”
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A structural equation modeling of predictive factors of mathematics undergraduates academic achievement by Oluwanife Segun Falebita, Akorede A. Asanre, Admire Chibisa

“…Similarly, self-efficacy and study habits accounted for 47.7% of the observed variance in academic motivation, while study habits, motivation and self-efficacy accounted for 67.8% of the observed variance in academic attitudes.DiscussionAmong the predictors, study habit has the most predictive influence on academic achievement, followed by mathematics self-efficacy and academic motivation, while academic attitude has the least influence on academic achievement. …”
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Genetic diversity and population structure in banana (Musa spp.) breeding germplasm by Violet Akech, Therése Bengtsson, Rodomiro Ortiz, Rony Swennen, Brigitte Uwimana, Claudia F. Ferreira, Delphine Amah, Edson P. Amorim, Elizabeth Blisset, Ines Van den Houwe, Ivan K. Arinaitwe, Liana Nice, Priver Bwesigye, Steve Tanksley, Subbaraya Uma, Backiyarani Suthanthiram, Marimuthu S. Saraswathi, Hassan Mduma, Allan Brown

“…Structure analysis revealed two major clusters corresponding to genomic composition. …”
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Genetic diversity and population structure of the indigenous goat population in Tunisia's northwest by I. BenSouf, I. Dhib, S. Bejaoui, H. Ouled Ahmed, H. Khemiri, N. M'Hamdi

“…To this end, the present study investigated the genetic diversity and population structure of the local goat population sampled from the northwestern region of Tunisia. …”
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The role of phytoplankton in structuring global oceanic dissolved organic carbon pools by Zhe Lu, Guoming Qin, Lingling Zheng, Yanyan Zhang, Lincheng Huang, Jinge Zhou, Yongxin Liu, Mianhai Zheng, Enqing Hou, Lirong Song, Hongbin Liu, Nianzhi Jiao, Faming Wang

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Acceptance of Mhealth by Patients with Cardiovascular Diseases: the Structural Model of Health Applications Use by D. Zagulova, J. V. Kolobovnikova, N. V. Pozdnyakova, A. T. Mansharipova

“…Constructs Performance Expectancy, Social Influence, Facilitating Conditions, and Value of Information had a direct positive effect on construct Intention to use of health Applications and explained 59,3 % of the variance this construct. The positive influence of the construct Intention to use of Applications and Attitude towards the use of Applications explained 61,2 % of the variance in the construct Use of Applications. …”
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Pediatric health-related quality of life: a structural equation modeling approach. by Ester Villalonga-Olives, Ichiro Kawachi, Josué Almansa, Claudia Witte, Benjamin Lange, Christiane Kiese-Himmel, Nicole von Steinbüchel

“…<h4>Results</h4>Model fit was χ2 = 5.5; df = 6; p = 0.48; SRMR  = 0.01. The variance explained of Health Related Quality of Life was 15%. …”
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THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET by Hartati Hartati, Imelda Saluza, Iisnawati Iisnawati, Teguh Teguh

“…According to the results of the consumer response processing. all constructs have Cronbach's Alpha (CA) > 0.60, indicating that all constructs are valid for use in measurement. As do the Average Variance Extracted (AVE) and Composite Reliability (CR) values > 0.70, indicating that the construct explains more than half of the variance coming from the indicators. …”
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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…In view of the problems that the traditional variance-based Sobol’method had a low solving efficiency,lacked of enough robustness,and it cannot further effectively decompose and reasonably distribute the influences of the high-order cross subterms,a practical and effective structural global sensitivity method was proposed in this paper based on partial derivative whole domain integral and optimal polynomial surrogate model. …”
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Method for Identifying Abnormal Hot Spots on the Surface of Composite Insulators by LIU Yao

“…It is shown that the proposed method can effectively divide the structural regions of composite insulator segmentation images, with clear boundaries between each structure and no overlap phenomenon.…”
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ConsensuSV-ONT – A modern method for accurate structural variant calling by Antoni Pietryga, Mateusz Chiliński, Sachin Gadakh, Dariusz Plewczynski

“…Abstract Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. However, since the tools available for the long-read Oxford Nanopore sequencing are limited, and the selection of the optimal tool presents a challenge, there is a need to create a tool based on Consensus that combines existing work to identify a set of high-quality, reliable structural variants that can be used for further downstream analysis. …”
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Emotional Factors in the Psychological Well-Being of Future Teachers: A Structural Model by Raquel Gilar-Corbi, Andrea Izquierdo, Juan-Luis Castejón

“…This study aimed to explore mechanisms through which emotional intelligence, resilience, stress, and burnout influence the psychological well-being of 338 trainee teachers (comprising 72.8% women) from the University of Alicante. Structural equation modeling was used to assess the direct and indirect effects among the variables included in the model. …”
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Determinants of cybersecurity investment in ASEAN organizations: an integrated structural equation modeling approach by Phasikha Rattanapong, Narongsak Sukma, Smitti Darakorn Na Ayuthaya

“…Overall, our model explains 68% of the variance in cybersecurity investment decisions, providing robust explanatory power despite the region’s heterogeneity. …”
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