Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo by Karel Kaurila, Risto Lignell, Frede Thingstad, Harri Kuosa, Jarno Vanhatalo

“…Nutrient load simulators are large, deterministic, models that simulate the hydrodynamics and biogeochemical processes in aquatic ecosystems. …”
Get full text

From Abnormal Hippocampal Synaptic Plasticity in Down Syndrome Mouse Models to Cognitive Disability in Down Syndrome by Nathan Cramer, Zygmunt Galdzicki

“…A wide variety of evidence from studies on DS individuals and mouse models of DS indicates that synaptic plasticity is adversely affected in human trisomy 21 and mouse segmental trisomy 16, respectively, an outcome that almost certainly extensively contributes to the cognitive impairments associated with DS. …”
Get full text

Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a General Risk Model with Diffusion by Lidong Zhang, Ximin Rong, Ziping Du

“…We mainly study a general risk model and investigate the precommitted strategy and the time-consistent strategy under mean-variance criterion, respectively. …”
Get full text

A Comparison of Simplified Modelling Approaches for Performance Assessment of Piles Subjected to Lateral Spreading of Liquefied Ground by Yung-Yen Ko, Yu-Ying Lin

“…In this paper, nonlinear pseudostatic analyses were performed for the responses of piles subjected to actions of laterally spreading ground, which were modelled as flow displacement and flow pressure, respectively. …”
Get full text

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

“…This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. …”
Get full text

Research on Food Security Risk Assessment and Early Warning in China Based on BP Neural Network Model by Yuke Hou, Xin Liang

“…Because the BP neural network is a multilayer feedforward neural network with strong adaptability, it is one of the most widely used and successful neural network models at present. Finally, BP neural network is used to simulate China’s food security early warning system and design standardized risk prevention and control processes and classified response strategies—routine monitoring, risk control, and emergency response—to provide signal guidance and reference for China’s food security to respond to risks early.…”
Get full text

Dynamic behaviors of a Leslie-Gower predator-prey model with Smith growth and constant-yield harvesting by Mengxin He, Zhong Li

“…A Leslie-Gower predator-prey model with Smith growth and constant-yield harvesting is proposed in this paper. …”
Get full text

Evaluating a Sustainable Intelligent Logistic System (ILS) Utilizing O-S Data and Holistic Managerial Models by Hong Liu, Kamarajugadda Tulasi Vigneswara Rao, Kottala Sri Yogi, Neelkanth Dhone

“…The authors proposed (1) an MRLS performance mapping index with respect to technical, cost, and value O-S architectures for recruiting MRLS, (2) linear information to assign ratings in a range of min-max values choosing from 1 to 100% without executing the linguistic scale, and (3) Holistic Managerial Models (HMM-1 and HMM-2) to handle subjective ratings and significance, assigned by Ex against evaluated O-S architectures under linear scale (1–100%). …”
Get full text

The Ontological Multiplicity of Digital Heritage Models: A Case Study of Yunyan Temple, Sichuan Province, China by Jie Tan, Xin Guo, Haijing Huang

“…The project employs laser scanning and photogrammetry to generate high-resolution 3D models at varying levels of detail. The study analyzes how these digital objects support diverse analytical tasks ranging from geomorphological analysis to structural assessments and spatial sequence analysis. …”
Get full text

Simplified Finite Set Model Predictive Control Strategy of Grid-Connected Cascade H-Bridge Converter by Jingang Han, Chao Li, Tengfei Yang, Jun Han

“…Finite set model predictive control (FS-MPC) has become a promising control technology in power converter, because of the advantages of good dynamic response and accurate current tracking capability. …”
Get full text

Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis by Shan-Shan He, Dan Li, Qi-Yong He, Xiao-Ping Chen, Yong-Xu Lin, Yun-Wen Yu, Feng-Lin Chen, Jian Ding

“…Seven prognostic indicators were selected for incorporation into models, including white blood cell count, lactate dehydrogenase, C-reactive protein, triglyceride, D-dimer, serum potassium, and serum calcium. …”
Get full text

Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System by Qinmu Xie, Shoufeng Ma, Ning Jia, Yang Gao

“…By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. …”
Get full text

Investigation of the preventive effect of methylsulfonylmethane on alveolar bone loss and oxidative stress in a rat model of periodontitis by Melek Beder, Hatice Yemenoglu, Semih Alperen Bostan, Oğuz Kose, Sibel Mataracı Karakas, Tolga Mercantepe, Adnan Yılmaz, Levent Tumkaya

Get full text

Experimental dataset of a model-scale ship in calm water and wavesUniversity of Southampton Institutional Repository by Saeed Hosseinzadeh, Stephen Turnock, Haesol Lee, Rodolfo Olvera

Subjects: “…Model-scale experiments…”
Get full text

A non-conditioned bone marrow transplantation mouse model to study clonal hematopoiesis and myeloid malignancies by Sofia Bentivegna, Marwa Almosailleakh, Lin-Pierre Zhao, Mikkel Bruhn Schuster, Sébastien Benquet, Alexander Balhuizen, Helga Fibiger Munch-Petersen, Lene Dissing Sjö, Mads Hald Andersen, Nicolas Dulphy, Bo Porse, Kirsten Grønbæk

“…We established a non-conditioned BMT model using C57BL/6J-Kit W-41J /J (W41) recipient mice to overcome the unwanted effects of irradiation. …”
Get full text

Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays by Zhufeng Wang, Xiaoqian Nie, Maoxin Liao

“…The results show that the bifurcation point of the model increases with the decrease in the model fractional order q. …”
Get full text

Retracted: A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information by Journal of Function Spaces

Get full text

Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

“…Cancer is the top cause of death worldwide, and machine learning (ML) has made an indelible mark on the field of early cancer detection, thereby lowering the death toll. ML-based model for cancer diagnosis is done using two forms of data: gene expression data and microarray data. …”
Get full text

Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model by Li Gen, Jamil Hazri Bin

“…At the same time, there were a total of 4 samples with incorrect judgments in Latent Dirichlet allocation, with an accuracy of 86.7%, which is higher than other algorithm models. The results indicate that the proposed Latent Dirichlet allocation combined with K-means algorithm has superior performance in the management of teacher professional learning communities, and can effectively improve the service level of teacher work.…”
Get full text

Synthesis, Biological Activity, and Molecular Modeling Studies of Pyrazole and Triazole Derivatives as Selective COX-2 Inhibitors by Mohyeddin Assali, Murad Abualhasan, Hadeel Sawaftah, Mohammed Hawash, Ahmed Mousa

Get full text