TEC Map Completion Using DCGAN and Poisson Blending by Yang Pan, Mingwu Jin, Shunrong Zhang, Yue Deng

“…The advance of deep learning offers powerful tools to perform certain tasks in data science, such as image completion (or inpainting). …”
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Procedural Law of Ancient Rome in the Imperial Period by D. V. Slynko

“…The boundaries of the governing bodies of Ancient Rome, their competence and powers were established by custom. Customs were the first source of law in ancient Rome, which regulated relations within the family and community with the help of religious norms and social principles. …”
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The Potential Diagnostic Value of Immune-Related Genes in Interstitial Fibrosis and Tubular Atrophy after Kidney Transplantation by Bin Yang, Dike Shi, Yahong Chen, Yi Zhu

“…Gene Set Enrichment Analysis (GSEA), ESTIMATE and single sample GSEA (ssGSEA), least absolute shrinkage and selection operator (LASSO) regression analysis, and competing endogenous RNA (ceRNA) network were used to analyze the data. …”
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Insect Pests and Diseases in Stored Sorghum (Sorghum bicolor L.) and Maize (Zea mays L.) in West Hararghe, Ethiopia by Gelana Keno Beyene, Amin Mohammed Yones, Ahmed Beyan Heji, Mukaddes Kayim

“…The presence of major insect pests and microflora in stored sorghum and maize in West Hararghe, Ethiopia, poses a significant threat to food security and agricultural productivity, leading to postharvest losses and economic hardship for local farmers. …”
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Optimized Direct Padé and HPM for Solving Equation of Oxygen Diffusion in a Spherical Cell by M. A. Sandoval-Hernandez, H. Vazquez-Leal, A. Sarmiento-Reyes, U. Filobello-Nino, F. Castro-Gonzalez, A. L. Herrera-May, R. A. Callejas-Molina, R. Ruiz-Gomez

“…The powerful process to obtain the solution shows that the Optimized Direct Padé and homotopy perturbation method are suitable methods to use.…”
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Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search by Yang Pan, Mingwu Jin, Shun‐Rong Zhang, Simon Wing, Yue Deng

“…Neural networks (NNs) emerge as a powerful modeling tool for Ne prediction. However, heavy manual adjustments are time consuming to determine the optimal NN structures. …”
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PBPK modeling: What is the role of CYP3A4 expression in the gastrointestinal tract to accurately predict first‐pass metabolism? by Justine Henriot, André Dallmann, François Dupuis, Jérémy Perrier, Sebastian Frechen

“…Physiologically‐based pharmacokinetic (PBPK) modeling is a powerful tool to integrate these processes mechanistically. …”
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Utility of 2D Video Analysis for Assessing Frontal Plane Trunk and Pelvis Motion during Stepping, Landing, and Change in Direction Tasks: A Validity Study by Rachel K Straub, Christopher M Powers

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Investigating factors affecting the financial recovery of businesses admitted to the stock exchange by Fatemeh Sahraei, Jafar Jamali, Hamidreza Vakilifard, Ali Zare, Seyed Yaghoub Zeraatkish

“…When some organizations experience a financial crisis and face challenging and deteriorating operating margins, financial revival means a significant improvement in operational margins and financial health of the organization (Ghazavi, 2018). …”
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Designing a Model for Brand Engagement Value Creation through the Integration of Gamification Technology and Explainable Artificial Intelligence (XAI) by Zahra. Atf, fariz taherikia, kambiz heidarzadeh Hanzaei

“…When some organizations experience a financial crisis and face challenging and deteriorating operating margins, financial revival means a significant improvement in operational margins and financial health of the organization (Ghazavi, 2018). …”
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ON THE MANAGEMENT OF URBAN ELECTRIC NETWORKS IN THE CONDITIONS OF THE SMART GRID by M. А. Fursanov, A. A. Zalotoy

“…A case of the analysis and control of urban electric 10 kV networks with distributed small sources of generation has been developed and presented according to the theoretical criterion of minimum relative active power losses in the circuit as a control case. The conducted research makes it possible to determine the magnitude of the tolerance network mode from the point of the theoretical minimum.…”
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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

“…In most of the cases, the lowest mean absolute errors (MAE) were provided by a non-linear model with 12 components (different powers and linear combinations of NO2, NOX, SO2, non-methane volatile organic compounds, temperature and radiation); the MAE of predicted ozone concentrations in Lugano was as low as 9 μgm−3. …”
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Predictive and Cross-Validation Analysis of Aerobic and Anaerobic Performance Based on Maximum Strength by Alberto Souza Sá Filho, Pedro Augusto Inacio, Vicente Aprigliano, Patricia Sardinha Leonardo, Iransé Oliveira-Silva, Raphael Martins Cunha, Gaspar R. Chiappa, James Oluwagbamigbe Fajemiroye, Rodolfo P. Vieira, Rodrigo Alvaro Brandão Lopes-Martins, Marcelo Magalhães Sales

“…To establish the capacity of absolute maximum strength and relative to body mass (BM) in deadlift (DL) and squat (SQ) exercises to estimate the maximum anaerobic running performance (MART) and maximum aerobic power (V_Peak), among individuals stratified into high (HS) vs. low strength score (LS). …”
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The Geometric Series Hypothesis of Leaf Area Distribution and Its Link to the Calculation of the Total Leaf Area per Shoot of <i>Sasaella kongosanensis</i> ‘Aureostriatus’ by Yong Meng, David A. Ratkowsky, Weihao Yao, Yi Heng, Peijian Shi

“…We used the formula for the sum of the first <i>j</i> terms (<i>j</i> ranging from 1 to <i>n</i>) of a geometric series (GS), with the mean of the quotients of any adjacent two terms (denoted as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mover accent="true"><mrow><mi>q</mi></mrow><mo>¯</mo></mover></mrow><mrow><mi>A</mi></mrow></msub></mrow></semantics></math></inline-formula>) per shoot as the common ratio of the GS, to fit the cumulative leaf area observations. …”
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease by David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson

“…IntroductionDNA methylation (DNAm) age clocks are powerful tools for measuring biological age, providing insights into aging risks and outcomes beyond chronological age. …”
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Monotonicity and complete monotonicity of some functions involving the modified Bessel functions of the second kind by Mao, Zhong-Xuan, Tian, Jing-Feng

“…In this paper, we introduce some monotonicity rules for the ratio of integrals. …”
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Distinct clinical outcomes based on multiple serum cytokine and chemokine profiles rather than autoantibody profiles and ultrasound findings in rheumatoid arthritis: a prospective... by Yukitaka Ueki, Tom W J Huizinga, René E M Toes, Shoichi Fukui, Tomoki Origuchi, Takahiro Maeda, Atsushi Kawakami, Tomohiro Koga, Naoki Matsuoka, Toshihiko Hidaka, Naoki Iwamoto, Mami Tamai, Shin-ya Kawashiri, Akitomo Okada, Ayako Nishino, Tamami Yoshitama, Takahisa Suzuki, Toshimasa Shimizu, Shimpei Morimoto, Tomomi Tsuru, Karin A J van Schie, Masahiro Ayano, Remi Sumiyoshi, Yushiro Endo, Tohru Michitsuji, Kaori Furukawa, Masataka Umeda, Nobutaka Eiraku, Hiroaki Hamada

“…Two distinct groups made of four clusters showed a significant difference in IgM-anti-CCP2 positivity. The least absolute shrinkage and selection operator regression of 38 cytokines and chemokines for Clinical Disease Activity Index (CDAI) remission at 12 months resulted in the selection of MIP-1β. …”
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Establishment and validation of a nomogram for coronary artery lesions in children with Kawasaki disease by Chong Hu, Chong Hu, Xiao Yan, Henglian Song, Qin Dong, Qin Dong, Changying Yi, Changying Yi, Jianzhi Li, Jianzhi Li, Xin Lv, Xin Lv

“…All the participants were divided into the CAL group and no CAL group according to their coronary echocardiography results. Least absolute shrinkage and selection operator (LASSO) regression was applied for the identification of the most informative predictors of CAL. …”
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Study on the Calibration Transfer of Soil Nutrient Concentration from the Hyperspectral Camera to the Normal Spectrometer by Xue-Ying Li, Guo-xing Ren, Ping-Ping Fan, Yan Liu, Zhong-Liang Sun, Guang-Li Hou, Mei-Rong Lv

“…There are few studies on the calibration transfer of soil nutrient concentration from a hyperspectral camera to a normal spectrometer. In this paper, 164 soil samples from three regions in Qingdao, China, were collected. …”
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Trap Assisted Dynamic Mechanoluminescence Toward Self‐Referencing and Visualized Strain Sensing by Tianli Wang, Pengfei Zhang, Jianqiang Xiao, Ziyi Guo, Xiongwu Xie, Jiahao Huang, Jiaojiao Zheng, Xuhui Xu, Lei Zhao

“…Abstract Strain sensors utilizing mechanoluminescent (ML) materials have garnered significant attention and application due to their advantages, such as self‐powering, non‐contact operation, and real‐time response. …”
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