Explaining the structural model of knowledge sharing behavior based on the benefits of knowledge sharing with the mediator of organizational psychological space by Azam Valeh, roya afrasiabi, mahbube soleiman pour

“…To analyze the data, Pearson's correlation coefficient was used to measure the pairwise correlation of variables and structural equations based on partial least squares method with PLS-3 software. …”
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SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure by Zhengbo Yu, Zhe Chen, Keyan Xiao, Xiangqi Lei, Rui Tang, Qiaoran He, Zhongchang Sun, Huadong Guo

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Woody Species diversity and population structure along an Altitudinal gradient in Yegof Mountain Forest in North East of Ethiopia by Eyob Yimer, Tesfay Atsbha

“…Environmental gradients (altitude) are the factors that determine the woody species diversity and population structure of a given forest. This study was conducted to determine the influence of altitude in the Yegof mountain forest’s woody species diversity and population structure within three altitudinal gradients: upper altitude (UP); lower altitude (LA) and middle altitude (MA). …”
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Structural model of inhibition and behavioral activation system and cognitive control and flexibility with adolescent depression with the mediating role of rumination by Soudabeh Ershadi Manesh, Mahmoud Mokalaee

“…The findings indicate that the proposed model is appropriately fit with the data. The results of structural equation modeling showed that in the model, 20% of the variance in rumination drowning is explained by cognitive control flexibility and inhibition and behavioral activation system. …”
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The Impact of Urban Labor Skill Structure on Industrial Evolution in China and Its Heterogeneity from the Perspective of Cross-Relatedness by Zhou Xiaoqi, Ao Rongjun, Chen Jing, Hou Chunguang

“…Focusing solely on industrial structure cannot adequately address regional development challenges. …”
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Structural Performance of Reinforced Concrete Beams with Steel Fibres as Secondary Reinforcement: Experimental and Pre-peak Numerical Modelling by Hadjer Belkadi, Abdelkrim Bourzam, Messaoud Saidani

“… This research consists of an experimental and a numerical investigation into improving the structural performance of reinforced concrete (RC) beams by incorporating hooked-end steel fibres. …”
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Whole Genome Sequencing Reveals Substantial Genetic Structure and Evidence of Local Adaptation in Alaskan Red King Crab by Carl A. St. John, Laura E. Timm, Kristen M. Gruenthal, Wesley A. Larson

“…We used data from millions of genetic markers generated from lcWGS to build on previous studies of population structure in Alaska that used < 100 markers and to investigate local adaptation. …”
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Low Genetic Diversity and Complex Population Structure in Black Piranha (Serrasalmus rhombeus), a Key Amazonian Predator by Alizée Thomas, François‐Étienne Sylvain, Eric Normandeau, Nicolas Leroux, Aleicia Holland, Adalberto Luis Val, Nicolas Derome

“…This study is the first to analyze the genetic diversity and population structure of S. rhombeus in the central Amazon region using high‐resolution genomic data. …”
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Ionospheric Disturbances Over the Indian Sector During 8 September 2017 Geomagnetic Storm: Plasma Structuring and Propagation by L. Alfonsi, C. Cesaroni, L. Spogli, M. Regi, A. Paul, S. Ray, S. Lepidi, D. Di Mauro, H. Haralambous, C. Oikonomou, P. R. Shreedevi, A. K. Sinha

“…On 8 September in the Indian sector, the storm caused a severe modification of the equatorial electrojet (EEJ) with a consequent variation of the ionospheric structuring and dynamics. In our analysis, we propose an original method to isolate and identify EEJ variations from geomagnetic data and we detect the presence of equatorial plasma bubbles (EPB) from L‐band total electron content (TEC) data in order to understand their movement. …”
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Diet structure and academic achievement of children from difficult families: a cross-sectional study of Chinese children by Xuan Wang, Benfeng Du, Yuexuan Mu

“…This study explored the relationship between children’s diet structure and academic achievement and compared these across different family backgrounds.Design A cross-sectional study was conducted to survey the health status of children from difficult families based on a random sampling method in 2018. …”
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The association between recent stressful life events and brain structure: a UK Biobank longitudinal MRI study by Cheryl R.Z. See, Annabel X. Tan, Lucia R. Valmaggia, Matthew J. Kempton

“…However longitudinal studies investigating the association between stress and changes in brain structure are limited. Methods The current study uses longitudinal data from the UK Biobank and comprises 4,543 participants with structural neuroimaging and recent SLE data (mean age = 61.5 years). …”
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A CBCT imaging analysis of maxillary sinus anatomical structure and lesions in 264 cases from alpine region by WANG Yibo, XU Ran, LI Jingkun, LIU Yulin

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Structural model of quality of life based on perceived stress with the mediating role of personality traits in women with premenstrual syndrome by Yasaman Shahjoei, Taher Tizdast, Mohammadreza Zarbakhsh

“…To analyze the research data, Pearson correlation methods and structural equation modeling were used with the help of SPSSV-25 and AMOSV-24 software. …”
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Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

“…This study presents a novel machine learning framework using reconstructed clinical images to accurately distinguish PD from MSA and identify disease-specific neuroimaging biomarkers. The structure constrained super-resolution network (SCSRN) algorithm was employed to reconstruct clinical 2D MRI data for 56 PD and 58 MSA patients. …”
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Consumption structure of forest mushrooms by residents of contaminated districts of the Bryansk region in the remote period after the Chernobyl accident by K. V. Varfolomeeva, S. A. Zelentsova, V. S. Repin

“…To collect and analyze the data, the method of face-to-face questionnaire survey of adult population was applied according to individual questionnaires developed by the staff of Federal Funded Institution of Science «Saint-Petersburg Research Institute of Radiation Hygiene after Professor P.V. …”
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Alpha structure of 16O at high excitation energy via 3He + 13C nuclear reactions by Lombardo Ivano, Redigolo Luigi, Dell’Aquila Daniele, Vigilante Mariano, Ayketin Mualla, Baldesi Lucia, Barlini Sandro, Camaiani Alberto, Casini Giovanni, Ciampi Caterina, Fabris Daniela, Cicerchia Magda, Frosin Catalin, Gramegna Fabiana, Marchi Tommaso, Ordine Antonio, Ottanelli Pietro, Pasquali Gabriele, Piantelli Silvia, Russo Marco, Stefanini Andrea, Valdrè Simone, Verde Giuseppe

“…These proceedings report a new data analysis aimed to the study of low-spin, high excitation energy states in the spectroscopy of the 16O nucleus around 24 MeV excitation energy. …”
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R-matrix analysis of 22Ne structure in the energy range 11.7–13.38 MeV by Nurmukhanbetova Aliya, Goldberg Vladilen, Nauruzbayev Dosbol, Volya Alexander, Serikbayeva Gulfairuz, Rogachev Grigory

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SYNDROME AND PHENOMENON OF VENTRICULAR PRE-EXCITATION: STRUCTURE OF ARRHYTHMIAS AND SPECIFIC FEATURES OF HEART RHYTHM VARIABILITY TEMPORAL ANALYSIS by A. V. Tuyev, A. Y. Vyshenskaya, L. M. Vasilets, N. G. Poteshkina

“…Heart rhythm disturbances structure and time domain peculiarities of heart rate variability are studied at 77 patients having ventricular preexcitation syndrome and phenomenon. …”
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IMAGING OF 3-D SEISMIC TOMOGRAPHY FOR INTERNAL STRUCTURE UNDER THE MOUNTAIN MERAPI USING THE LOTOS-10 SOFTWARE by Ayu Wita Sari, Gede Bayu Suparta

“…The result of seismograph data processing shows seismic tomography method can reveal the subsurface structure of the Merapi Volcano through the distribution of deviation anomaly speed and Vp / Vs ratio. …”
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LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure by Zhi Liu, Xiaoli Zhang, Yong Wu, Yuansu Xu, Zhengying Cao, Zhibo Yu, Zihang Feng, Hongbin Luo, Chi Lu, Weibin Wang, Guanglong Ou

“…First, Individual tree attributes and spatial structures were extracted and evaluated from LiDAR data. …”
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