An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition by Jules Guilberteau, Paras Jain, Mohit Kumar Jolly, Camille Pouchol, Nastassia Pouradier Duteil

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Does ownership structure influence sustainability? Evidence from Booking.com sustainability practices in hospitality by Jitka Vávrová, Lenka Červová, Blanka Brandová, Jana Stolz-Römmermann

“…While the link between ownership structure and sustainability is well recognized in corporate sectors, limited research addresses this in the collective accommodation industry. …”
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Energy Management and Edge-Driven Trading in Fractal-Structured Microgrids: A Machine Learning Approach by Mostafa Pasandideh, Jason Kurz, Mark Apperley

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The structure of the multidimensional scale of perceived social support: a meta-analytic confirmatory factor analysis by Hakan Koğar, Esin Yılmaz Koğar

“…For this purpose, we utilized studies in the literature that examined and reported the internal structure of the MSPSS. However, we used summary data from 59 samples of 54 studies (total N = 27,905) after excluding studies that did not meet the inclusion criteria. …”
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Hydrographic structure of the continental shelf in Santos Basin and its causes: The SANAGU and SANSED campaigns (2019) by Marcelo Dottori, Dalton K. Sasaki, Danilo A. Silva, Sergio R. Del–Giovannino, Andressa P. Pinto, Magnim Gnamah, Arian D. Santos, Ilson C. A. da Silveira, Wellington C. Belo, Renato P. Martins, Daniel L. Moreira

“…Coastal Water (CW) is the dominant water mass in the southern portion of the SBCS, with relatively low salinity values (S<35.5 g kg–1), and satellite data show that local precipitation and river discharge could not account for the low salinity observed during the cruises in the southern region of the domain. …”
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Population structure and reproduction of the hairy fruit-eating bat, Artibeus hirsutus, in central-western Mexico by Silvia S. Zalapa, Rogelio García-Sandoval, Sergio Guerrero-Vázquez, Alejandro Pérez-Arteaga, María del Lourdes Romero-Almaraz, Cornelio Sánchez-Hernández

“…The objective of this work was to evaluate the population structure and reproductive activity of a colony of A. hirsutus in west-central Mexico. …”
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Study on the Community Structure and Diversity of Zooplankton in Dingzi Bay by Using Mathematical and Intelligent Analysis Tools by Zhang Liang, Huang Juan, Liu Yumeng, Gu Xueji, Zhao Chuanting

“…In order to know the community structure and diversity of zooplankton in Dingzi Bay, based on the investigation data in April 2024(spring), the species composition, dominant species, community structure and the correlation between species diversity and environmental factors of zooplankton were analyzed by using computer systems and digital intelligent analysis tools. …”
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Improving Temperature Prediction Precision for Aerial Cameras by Correcting Structure and Parameters of Thermal Network Models by Yue Fan, Wei Feng, Zhenxing Ren, Bingqi Liu, Jinying Li

“…Following an analysis of the change trend consistency between the predicted temperatures and the transient thermal experimental data, the thermal network structure is modified to reduce the discrepancy between the thermal network and physical models. …”
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The interplay between migration and self-identity: a structured review using TCCM and bibliometric analysis by Harshita Barua, Nidhi Maheshwari

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Hydrographic structure of the continental shelf in Santos Basin and its causes: The SANAGU and SANSED campaigns (2019) by Marcelo Dottori, Dalton K. Sasaki, Danilo A. Silva, Sergio R. Del–Giovannino, Andressa P. Pinto, Magnim Gnamah, Arian D. Santos, Ilson C. A. da Silveira, Wellington C. Belo, Renato P. Martins, Daniel L. Moreira

“…Coastal Water (CW) is the dominant water mass in the southern portion of the SBCS, with relatively low salinity values (S<35.5 g kg–1), and satellite data show that local precipitation and river discharge could not account for the low salinity observed during the cruises in the southern region of the domain. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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Identifying Critical Risks in Low-Carbon Innovation Network Ecosystem: Interdependent Structure and Propagation Dynamics by Ruguo Fan, Yang Qi, Yitong Wang, Rongkai Chen

“…Global low-carbon innovation networks face increasing vulnerabilities amid growing geopolitical tensions and technological competition. The interdependent structure of low-carbon innovation networks and the risk propagation dynamics within them remain poorly understood. …”
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Force Feedback Method for Statically Indeterminate Steel Structure Construction Based on Staged Temperature Measurement by Wei Lu, Xianwei Fang, Liming Liu, Chunfeng Ao, Weihua Hu, Jun Teng, Zhongcheng Huo

“…The application results show that the structural forces calculated by the method proposed in this paper are closer to the measured data in the field, and the error is reduced by 10~40%. …”
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Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball) by Zh.L. Kozina, M. Cieslicka, K. Prusik, R. Muszkieta, I.N. Sobko, O.A. Ryepko, T.A. Bazilyuk, S.B. Polishchuk, A.V. Osiptsov, S.A. Korol

“…In every micro-cycle 30% is assigned for athletes’ individual training: athletes received individual tasks; groups on the base of cluster analysis data were formed, if necessary. Conclusions: when working out individual training programs, development of leading factors in individual factorial structure of athletes’ fitness shall be accented. …”
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The Effect of 16 weeks of intense endurance training on right ventricle structure in male Wistar rats by hossein barzegari marvast, siroos choobineh, rahman soori, ali akbarnejad

“…The aim of this study was to determine whether long-term and high intensity endurance training can lead to pathological structural changes in the heart of the rats.Methods: Sixteen male Wistar rats (four weeks old) were randomly divided into two groups: control and training. …”
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A Refined Model of Viscous Stress for Free Water in Concrete Considering the Characteristics of Pore Structure by Qianfeng Wang, Xiaofen Wang, Xinghua Chen, Jie Li, Jinsheng Lei

“…A novel model of viscous stress is introduced, incorporating pore structure characteristics for the first time. Pore structure features of both mortar and aggregate are analyzed using mercury intrusion porosimetry. …”
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Influence of Bracing Systems on Pile Design Parameters: A Structure–Soil–Pile Interaction Approach by Seyma Teberik, Fatih Celik, Ersin Aydin

“…Structural damages occurred during any earthquake arise not only from structural design flaw but also from the variability of sub-base soil behavior and the foundation system. …”
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Synthesis, crystal structure and electrophysical properties of triple molybdates containing silver, gallium and divalent metals by Irina Yu. Kotova, Aleksandra A. Savina, Alena I. Vandysheva, Dmitry A. Belov, Sergey Yu. Stefanovich

“…P`1, Z = 2) were synthesized and characterized. The structure of the obtained compounds was refined for AgZn3Ga(MoO4)5  according to the powder data by the Rietveld method. …”
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Investigating changes to food web structure after fish removal using size spectra analysis by Tyler J. Butts, Martin A. Simonson, Michael J. Weber, Grace M. Wilkinson

“…Traditional food web model analyses to monitor management interventions can be prohibitively time and data‐intensive. Size spectra, the relationship between species abundance and body size, could be used to detect changes in food web structure following major disturbances. …”
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Profitability Identification of National Banking through Credit, Capital, Capital Structure, Efficiency, and Risk Level by Sugeng Haryanto

“…Multiple regression technique was used in this study to analyze the data. The results show that credit, bank capital, and capital structure positively influence the profitability. …”
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