AEROfen: protocol for a phase I, open-label, randomised crossover study evaluating the efficiency of nebulised fentanyl in healthy volunteers – comparing facial versus intranasal a... by Muriel Quillard, André Gillibert, Florian Vallin, Nathalie Donnadieu, Sophie Ruault, Cassandre Follet, Audrey Dumont, Melanie Roussel, Cyprienne Boedard, Davis Nunes Ferreira, Tony Pereira, Luc-Marie Joly, Virginie Lvovschi, Thomas Duflot

“…Nebulised fentanyl, combined with pupillometry for objective monitoring of opioid impregnation, may offer a rapid and safe alternative for pain management.Methods and analysis This phase I, open-label, randomised, exploratory, crossover, single-centre prospective controlled trial will employ pharmacokinetic–pharmacodynamic (PK–PD) modelling to assess the variability in bioavailability of nebulised fentanyl administered via intranasal route versus facial aerosol. 20 healthy volunteers will receive three repeated administrations of fentanyl over two visits. …”
Get full text

Mechanical and thermal properties of structural lightweight bamboo fiber-reinforced insulating mortar by Yunyun Tong, Wei Zhang, Mengya Li, Tien Tung Ngo, Qiannan Wang, Wei Zeng, Benyue Li

Get full text

Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…This study presents a data-driven approach using the gappy proper orthogonal decomposition (Gappy POD) algorithm, a reduced-order modeling technique, for real-time temperature monitoring of large-scale battery modules. …”
Get full text

Age-period-cohort analysis of the incidence trend of chronic obstructive pulmonary disease among elderly residents in China from 1992 to 2021 by Mengmeng PAN, Xie ZHANG

“…ObjectiveTo understand the incidence trends of chronic obstructive pulmonary disease (COPD) among elderly adults in China and to provide a reference for optimizing COPD prevention and control strategies in China. …”
Get full text

Enhancing Office Comfort with Personal Comfort Systems: A Data-Driven Machine Learning Approach by Paulina Wegertseder-Martinez, Silvia E. Restrepo-Medina, Roberto Aedo-García, Raul Soto-Concha

“…Synthetic data augmentation and automated variable selection were also used to optimize the models’ performance. The predictive models had a robust performance, with R² values in the test set of 0.86 for the wristband, 0.84 for the fan, and 0.52 for the lamp. …”
Get full text

Experimental and Theoretical Study of the Axial Distribution of Solid Phase Particles in a Fluidized Bed by A. V. Mitrofanov, V. E. Mizonov, N. S. Shpeynova, S. V. Vasilevich, N. K. Kasatkina

“…A comparison of the results of numerical and field experiments made us possible to identify the most productive empirical dependencies that correspond to the cellular scheme of modeling the process. The resulting physical and mathematical model has a high predictive efficiency and can be used for engineering calculations of devices with a fluidized bed, as well as for setting and solving problems of optimal control of technological processes in these devices for various target functions.…”
Get full text

Matrix Creation for Mass-Manufacturing the Microprismatic Plane-Focusing Lenses by Eugene Antonov, Minglei Fu, Volodumyr Lysenko, Dmytro Manko, Viacheslav Petrov, Volodymyr Zenin

“…Incorporating plane-focusing lenses into automatic control systems with four-plane photodetectors enables the formation of linear direction-finding characteristics for moving objects with an expanded bearing angle. …”
Get full text

Influence of Evaporation and High‐Frequency Seawater Inundation on Salinity Dynamics in Swash Zones by Xiaolong Geng, Holly A. Michael, James W. Heiss, Michel C. Boufadel, Hailong Li, Xuejing Wang

Get full text

Artificial intelligence for herbicide recommendation: Case study for the use of clomazone in Brazilian soils by Hamurábi Anizio Lins, Matheus de Freitas Souza, Lucrecia Pacheco Batista, Luma Lorena Loureiro da Silva Rodrigues, Francisca Daniele da Silva, Bruno Caio Chaves Fernandes, Stefeson Bezerra de Melo, Paulo Sergio Fernandes das Chagas, Daniel Valadão Silva

“…Its interaction is dependent on the properties of the soil and the herbicide itself and, therefore, is considered complex. An alternative to optimize the use of herbicides is the application of mathematical models to estimate the sorption in the soil, contributing to a more efficient control of weeds and bringing more environmental safety. …”
Get full text

Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Different element quantitative models were constructed for each rock type. The kNN algorithm was selected using cross-validation to determine the optimal k value, and the key punishment parameter C and RBF width parameter γ of the SVM algorithm were determined using a grid search method. …”
Get full text

Application of Machine Tool Thermal Error Compensation in Digital Twin-based System by MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang

“…Thermal error significantly affects machining accuracy, demanding careful control. A robust system integrating a highly accurate thermal error model is the key to this control. …”
Get full text

Design and Exploitation of a Dual-Channel Direct Injection System by Xiang Dong, Ziyu Li, Mingxiong Ou, Weidong Jia

“…The system operates by measuring the relationship between the mixing ratio and the conductivity value, mathematical model, and control algorithm. Experimental validation demonstrated that the correlation coefficient of herbicide mixing ratios and measured conductivity values across pressure ranges of 0.1–0.3 MPa are greater than 0.98, which means that measuring the mixing ratio using conductivity is reliable. …”
Get full text

Predicting Minimum Temperatures of Plastic Greenhouse During Strawberry Growing in Changfeng, China: A Comparison of Machine Learning Algorithms and Multiple Linear Regression by Xuelin Wang, Qinqin Huang, Dong Wu, Jinhua Xie, Ming Cao, Jun Liu

Get full text

Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

“…Using this model, the study identified a novel, larger window of optimal LPBF processing that allows for controllable complex phase transitions.…”
Get full text

Enhancing thermal performance in enclosures filled with nanofluids subjected to sinusoidal heating: a numerical study by Naeem Ullah, Dianchen Lu, Sohail Nadeem

Get full text

Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study by Shirin Alsadat Hadian, Reza Rezayatmand, Saeedeh Ketabi, Nasrin Shaarbafchizadeh, Ahmad Reza Pourghaderi

“…These findings underscore the need for hospitals to adopt advanced quantitative models to optimize resource allocation and enhance service delivery.…”
Get full text

Computer Science Integrations with Laser Processing for Advanced Solutions by Serguei P. Murzin

“…It discusses key areas where computational methods enhance the precision, adaptability, and performance of laser operations. Through advanced modeling and simulation techniques, a deeper understanding of material behavior under laser irradiation was achieved, enabling the optimization of processing parameters and a reduction in defects. …”
Get full text

Weighted Gene Correlation Network Analysis Reveals Key Regulatory Genes Influencing Selenium Enrichment and Yield with Exogenous Selenite in Tartary Buckwheat by Xueling Ye, Linsen Mei, Zhen Gan, Zhiqiang Wang, Wenjun Sun, Yu Fan, Changying Liu, Qi Wu, Yan Wan, Xiaoyong Wu, Dabing Xiang

Get full text

Predicting the Impact of Polysulfone Dialyzers and Binder Dialysate Flow Rate on Bilirubin Removal by Alexander Novokhodko, Nanye Du, Shaohang Hao, Ziyuan Wang, Zhiquan Shu, Suhail Ahmad, Dayong Gao

“…Validation for additional dialyzers and flow rates will be needed. This model will benefit clinical trials by predicting optimal dialyzer and flow rate conditions. …”
Get full text

How Measurement Affects Causal Inference: Attenuation Bias Is (Usually) More Important Than Outcome Scoring Weights by Joshua B. Gilbert

“…An errors-in-variables (EIV) correction removes the bias from two-step models. An empirical application to 10 datasets from randomized controlled trials demonstrates the sensitivity of the results to model selection. …”
Get full text