Dendritic growth and synaptic organization from activity-independent cues and local activity-dependent plasticity by Jan H Kirchner, Lucas Euler, Ingo Fritz, André Ferreira Castro, Julijana Gjorgjieva

“…Our work suggests concrete mechanistic components underlying the emergence of dendritic morphologies and synaptic formation and removal in function and dysfunction, and provides experimentally testable predictions for the role of individual components.…”
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Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model by Sara Bidah, Omar Zakary, Mostafa Rachik, Hanane Ferjouchia

“…We estimate again the parameters of the model, and we show that our model can predict the poll outcome in the next weeks, thus, whether the need for some control strategies or not. …”
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Optimization of Extraction Process of Methyl Eugenol and Asarinin in Asarum with Deep Eutectic Solvent Based on the Response Surface Methodology by Huiwei Bao, Yang Xu, Yuejie Wang, Tao Zhang, Enpeng Wang, Xin Huang, Changbao Chen, Fangxin Liu

“…The results were close to the predicted values of the response surface model, demonstrating the applicability of the model. …”
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Anatomical, functional, and blood-born predictors of severity of brachycephalic obstructive airway syndrome severity in French Bulldogs by Claudia Schmid, Claudia Schmid, Claudia Schmid, Aline R. Steiner, Léonie Spielhofer, Léonie Spielhofer, Meltem Galfetti, Meltem Galfetti, Nikki Rentsch, Nikolay Bogdanov, Johannes Vogel, Regina Hofmann-Lehmann, Regina Hofmann-Lehmann, Sonja Hartnack, Georgy Astakhov, Reinhard Furrer, Anna Bogdanova, Anna Bogdanova, Iris Margaret Reichler

“…Of all the candidate blood parameters tested, carboxyhemoglobin and oxyhemoglobin levels were the most predictive as on-side but not self-standing indicators of BOAS severity grade. …”
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The Influence of Soil Parameters on the Impulse and Airblast Overpressure Loading above Surface-Laid and Shallow-Buried Explosives by John Q. Ehrgott Jr., Stephen A. Akers, Jon E. Windham, Denis D. Rickman, Kent T. Danielson

“…During the past several years, the US Army has focused considerable attention on developing improved methods for predicting the below-vehicle environment from these threats for use by vehicle/armor analysts; thereby, improving the survivability of these platforms. …”
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Elucidating the molecular basis of salt tolerance in potatoes through miRNA expression and phenotypic analysis by Caicai Lin, Shuangshuang Zheng, Kui Liu, Ru Yu, Peiyan Guan, Baigeng Hu, Lingling Jiang, Mengyu Su, Guodong Hu, Qingshuai Chen, Xia Zhang

“…Transcriptome analysis of the highly tolerant variety Z1076-1 identified 68 differentially expressed miRNAs (DE miRNAs). qRT-PCR validation for eight randomly selected DE miRNAs confirmed consistent expression trends with transcriptome data. Predicted target genes of these miRNAs are involved in calcium channel signaling, osmotic regulation, plant hormone signaling, and reactive oxygen species clearance. …”
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Climate Warming Controls Vegetation Growth with Increasing Importance of Permafrost Degradation in the Northern Hemisphere During 1982–2022 by Yadong Liu, Xiaodong Wu, Tonghua Wu, Guojie Hu, Defu Zou, Yongping Qiao, Xianhua Wei, Xiaoying Fan, Xuchun Yan

“…However, the quantitative analysis of climate and permafrost remains largely unknown, hindering our ability to predict future vegetation changes in permafrost regions. …”
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Dynamics of blackleg epizootic process in the Republic of Kazakhstan by A. Abutalip, B. D. Aitzhanov, A. K. Mussayeva, V. Yu. Sushchikh, N. N. Yegorova, Ye. K. Ospanov, M. A. Berdikulov, K. A. Kalkabayev, N. Matikhan

“…The research results will help to improve the system of blackleg surveillance, to predict the disease spread in animals and can be used to develop anti-epizootic measures.…”
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The mediating effect of self-efficacy and physical activity with the moderating effect of social support on the relationship between negative body image and depression among Chines... by Ye Yuan, Yanling Tu, Yuqi Su, Lei Jin, Yu Tian, Xuesong Chang, Ke Yang, Haiyun Xu, Junyi Zheng, Daili Wu

“…Additionally, social support moderates the effects of self-efficacy by predicting the pathway through which physical activity effects depression. …”
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An innovative and efficient implementation of matrix-free Newton krylov method for neutronics/thermal-hydraulics coupling simulation by Peijun Li, Chen Hao, Ning Xu, Yanling Zhu, Yizhen Wang, Zhigang Zhang

“…High-fidelity neutronics/thermal-hydraulics (N/TH) analysis can simulate and predict nuclear reactor core phenomena realistically, providing advanced and reliable technical means during the design and safety analysis of nuclear reactor. …”
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Multiphysics analysis of the dual role of magnetoelectric nanoparticles in a microvascular environment: from magnetic targeting to electrical activation by Martina Lenzuni, Paolo Giannoni, Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Paolo Ravazzani, Alessandra Marrella

“…Overall, these findings predict that MENPs can be targeted in a tissue site when intravenously administrated, dragged through the microvessels of the venous system, and activated by generating high electric fields for the stimulation of the peripheral nervous system.…”
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Design and optimization of liquid helium-free cooling systems for magnetic resonance imaging device using multi-physical modeling by Changhao Luo, Guanhua Liu, Yi Deng, Zhiqiang Long, Meng Lin

“…A three-dimensional multi-physical model was developed to predict cool-down times for various tube materials and refrigerants, and to evaluate system performance. …”
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Development of a prognostic gene signature and exploration of P4HA1 in the modulation of cuproptosis in colorectal cancer by RenJie Jiang, LinLin Ruan, Taohui Ding, Hongtao Wan, Yanglin Chen, XiaoJian Zhu, Zhijiang Huang, Dengke Yao, Ming Li, Bo Yi, Dan Liu

“…Key genes were further refined through LASSO regression and random forest approaches, culminating in the development of a prognostic model comprising six critical genes. The predictive accuracy of the model was validated using two independent external datasets. …”
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Understanding Hip Contact Stress Based on Types of Physical Activity: A Systematic Review by Arief Indra Perdana Prasetya, Muhammad Imam Ammarullah, Tri Indah Winarni, Adriyan Pramono, Jamari Jamari, Tunku Kamarul, Ardiyansyah Syahrom

“…Although several risk factors have been identified for OA, a holistic approach to predicting contributed factors toward increased hip contact stresses have not been explored. …”
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CFD modelling and simulation of anaerobic digestion reactors for energy generation from organic wastes: A comprehensive review by Muhammad Usman Farid, Indiana A. Olbert, Andreas Bück, Abdul Ghafoor, Guangxue Wu

“…Computational fluid dynamics (CFD) is an applied mathematical tool which helps to understand and predict the fluid dynamics, heat flow as well as species transport in different domains. …”
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A Nonsynonymous Single-nucleotide Polymorphism in SLC24A5 Regulates Feather Pigment Deposition in Chinese Yellow Quail by Xiaohui Zhang, Fanghu Wu, Yanxia Qi, Yuanyuan Shang, Lingyun Fan, Yifei Wang

“…The mutant residue was predicted to be located inside the eighth transmembrane helix of the SLC24A5 protein, which is primarily responsible for recognizing Na+/Ca2+ ions. …”
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Airway β-Defensin-1 Protein Is Elevated in COPD and Severe Asthma by Katherine J. Baines, Thomas K. Wright, Jodie L. Simpson, Vanessa M. McDonald, Lisa G. Wood, Kristy S. Parsons, Peter A. Wark, Peter G. Gibson

“…Inflammatory phenotype had no effect on β-defensin-1 levels in asthma or COPD. β-defensin-1 protein was significantly higher in severe asthma compared to controlled and uncontrolled asthma. β-defensin-1 protein could predict the presence of COPD from both healthy controls and asthma patients. …”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…However, advanced technologies, such as artificial intelligence (AI) and machine learning (ML), have the potential to revolutionize SOCs by enhancing threat identification and response capabilities, as well as predicting and preempting risks. To address these challenges and highlight the full potential of SOC, this study provides a detailed overview through a comprehensive literature review that identifies gaps in existing research and examines the latest technologies used in the SOC environment to help address different operational and technical challenges and bring out their capabilities. …”
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Post-burns persistent inflammation leads to kidney PANoptosis with Caspases pathway activation by Guang Yang, Minghui Wang, Mulan Qahar, Jinqing He, Zhiwei Lai, Sanmu Li, Dehua He, Xuefei Yan, Zuying Xiong, Zibo Xiong, Thu H. Le

“…These findings have significant implications for predicting the prognosis of kidney function in burn patients and offer a potential therapeutic approach.…”
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Endothelial Dysfunction Correlates with Liver Fibrosis in Chronic HCV Infection by Michele Barone, Maria Teresa Viggiani, Annabianca Amoruso, Serafina Schiraldi, Annapaola Zito, Fiorella Devito, Francesca Cortese, Michele Gesualdo, Natale Brunetti, Alfredo Di Leo, Pietro Scicchitano, Marco Matteo Ciccone

“…A fibroscan value >11.5 KPa had a positive predictive power equal to 79% for endothelial dysfunction. …”
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