The implementation of safer drug consumption facilities in Scotland: a mixed methods needs assessment and feasibility study for the city of Edinburgh by James Nicholls, Wendy Masterton, Danilo Falzon, Andrew McAuley, Hannah Carver, Kathryn Skivington, Josh Dumbrell, Andy Perkins, Samantha Steele, Kirsten Trayner, Tessa Parkes

Get full text

An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

Get full text

Optimizing the Portuguese wildfire fuel reduction program by Alan Ager, Bruno A. Aparício, José M.C. Pereira

“…The methods and modeling can be extended beyond fuel reduction programs to design longer term, optimized land use strategies that can potentially improve fire resiliency and reduce future fire suppression costs under a changing climate.…”
Get full text

Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…In order to investigate the main factors affecting the effect of spray dust reduction on the particle size of coal dust after spray dust reduction, a quantitative mathematical model was obtained to characterize the quantitative relationship between the influencing factors and the particle size parameters of coal dust after spray dust reduction. …”
Get full text

A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

Get full text

Guided Regularizers for Structured Reduction of Neural Networks by Ali Haisam Muhammad Rafid, Adrian Sandu

Get full text

Geometric Degree Reduction of Wang–Ball Curves by Yusuf Fatihu Hamza, Mukhtar Fatihu Hamza, Abedallah Rababah, Salisu Ibrahim

“…Numerical example and figures are presented to state the adequacy of the algorithm. The proposed method not only outperforms the existing method of degree reduction of Wang–Ball curves but also guarantees geometric continuity conditions at the boundary points, which is very important in CAD and geometric modeling.…”
Get full text

Separation Time of Aluminothermic Reduction Products for Sustainable Silicon Production [version 2; peer review: 2 approved] by Óscar Crego, Javier Bullón, Dolores Gómez, José Luis Ferrín, Luis Javier Pérez-Pérez, Iván Martínez

“…Generally, a multiphase flow model is used to estimate the separation time of the two components once aluminothermic reduction has ended. …”
Get full text

Number of Repetitious States in One Dimensional Hubbard Model: a Density Matrix Renormalization Group Perspective by M. Solaimani

Get full text

Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

“…This work proposed a novel HHV prediction model based on its reduction degree (DR) and ash content (Cash). …”
Get full text

A theoretical study of factors influencing calcium-secretion couplingin a presynaptic active zone model by Amparo Gil, Virginia González-Vélez, Javier Segura, Luis Miguel Gutiérrez

Get full text

The Main Trends in the Development of Methods and Models for the Use of Digital Technologies in the Creation of Value Chains by N. M. Abdikeev, E. L. Moreva

Get full text

Therapeutic potential of Coprinus comatus nanogels: Antiarthritic and anti-inflammatory effects in rheumatoid arthritis models by Nuniek Ina Ratnaningtyas, Fajar Husen

“…TGs demonstrated a 27.75% reduction in paw edema and a 45.45% reduction in arthritis indices. …”
Get full text

Adjustment of angle error and tolerance allocation methods for RV reducers by ZHANG Bowen, ZHOU Jianxing, CUI Quanwei, LIN Kaihong, ZHOU Yadong, XU Wenqiang

“…ObjectiveAiming at the problems that angular errors in key load-bearing components such as crankshafts, cycloidal gears, and pin gear shells during processing and manufacturing lead to the reduction of transmission accuracy and stability of rotary vector (RV) reducers, an angular error adjustment method and a tolerance allocation method for RV reducers based on state space models were proposed.MethodsFirstly, taking the BX40E reducer as the research object, the error transmission chain of the reducer was constructed to illustrate the error transmission path of the RV reducer. …”
Get full text

Overhead Transmission Line Modeling Strategies for EMT-Based Traveling-Wave Analysis and Fault Location by Adrian Wilmer Diaz Sarmiento, Jaimis Sajid Leon Colqui, Jose Pissolato Filho

“…The study examines five critical modeling aspects: soil resistivity representation, shield wire inclusion and Kron reduction, modal decomposition techniques, fault location accuracy, and tower grounding representation. …”
Get full text

Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…To address this issue, a model order reduction method (MOR) is proposed in this study, transitioning from a high-fidelity solid model to a computationally more efficient lower-fidelity beam model. …”
Get full text

Simulation of the image rejection phase method by R. R. Vishnyakov

“…The results of different modeling methods coincide, and the simulation results verify the possibility of implementing the image rejection method. …”
Get full text

Reduction of metal artefacts from bilateral hip prostheses during lower extremity computed tomography angiography: an experimental phantom study by Omarah N. Abdalqader, Mohammad Hjouj, Mohammad Aljamal, Fawaz Hjouj, Mohamed Abuzaid, Mahmoud Mousa

“…Multimodal images were acquired using different kilovoltage peak (kVp) settings and reconstructed with different algorithms, such as filtered back projection (FBP), iterative reconstruction (iDose4), iterative model‐based reconstruction (IMR) and orthopaedic metal artefact reduction (O‐MAR). …”
Get full text

Generative autoencoder to prevent overregularization of variational autoencoder by YoungMin Ko, SunWoo Ko, YoungSoo Kim

Get full text

Daily runoff forecasting using novel optimized machine learning methods by Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, Essam Heggy, Shahab S. Band

Get full text