Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method by Jinghui Jiang, Chaoyi Xia, Kunpeng Wang, He Xia, Qikai Sun

“…The established assessment method can be used to predict the probability of bridge structural damage at various levels under different types of car bombs and to provide a reference for exploring a probability-based safety assessment method of post-explosion bridges.…”
Get full text

Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods by Jucelino Medeiros Marques Junior, Aline Lima Hermes Muller, Edson Luiz Foletto, Adilson Ben da Costa, Cezar Augusto Bizzi, Edson Irineu Muller

“…A root mean square error of prediction (RMSEP) of 8.2 mg g−1 was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm−1). …”
Get full text

AI‐Powered Advancements in Food Analysis and Safety: Ensuring Quality, Protection, and Precision in Modern Food Systems: A Review by Ammar B. Altemimi, Farhang Hameed Awlqadr, Raqad R. Al‐Hatim, Syamand Ahmed Qadir, Mohammed N. Saeed, Aryan Mahmood Faraj, Tablo H. Salih, Hala S. Mahmood, Mohammad Ali Hesarinejad, Francesco Cacciola

“…The role of AI in contaminant detection and spoilage prediction is underlined. One of the applications is using near‐infrared spectroscopy on a machine learning algorithm sample to determine if it contains any adulterants in olive oil. …”
Get full text

A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge by Jiafu Su, Jie Wang, Sheng Liu, Na Zhang, Chi Li

“…Then, an improved genetic algorithm is developed to solve the task assignment model. …”
Get full text

Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model by Davide Viganò, Adriano Annovazzi, Filippo Maggi

“…For this reason, the reliability of predictions and reproducibility of performances represent a primary goal in this field. …”
Get full text

FLAC3D Simulation of Caving Mechanism and Strata Fracture Response in Underground Mining by Mahdi Saadat, Mattin Khishvand, Andrew Seccombe

“…This paper presents an innovative numerical approach to simulating the progressive caving of rock mass in the overburden and floor during longwall mining. A modified caving algorithm is incorporated into FLAC3D 9.0, augmented with the IMASS constitutive model, to accurately replicate the fracturing response of various strata. …”
Get full text

The effects of linear energy density and gas environment on droplet spatter characteristics and dynamics during selective laser melting by Guang Yang, Qi Liu, Da An, Xiangming Wang, Ranliang Wu, Han Xie

“…The mechanism of droplet spatter is discussed and divided into three categories. Predicting the recoil pressure and horizontal distance of spatter. …”
Get full text

Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…Climatology of fog can help better diagnosis and prediction of fog. In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
Get full text

Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles by Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal

“…A machine learning methodology based on a YOLO algorithm is trained and optimized to identify defects of strength s = ±1 and determine their trajectories during the annihilation process of umbilics of opposite sign. …”
Get full text

Persistence and Burn-in in Solar Coronal Magnetic Field Simulations by Eric J. Hall, Karen A. Meyer, Anthony R. Yeates

“…Simulations of solar phenomena play a vital role in space-weather prediction. A critical computational question for automating research workflows in the context of data-driven solar coronal magnetic field simulations is quantifying a simulation's burn-in time, after which a solar quantity has evolved away from an arbitrary initial condition to a physically more realistic state. …”
Get full text

Abstraction-based segmental simulation of reaction networks using adaptive memoization by Martin Helfrich, Roman Andriushchenko, Milan Češka, Jan Křetínský, Štefan Martiček, David Šafránek

“…Conclusion  We demonstrate that in combination with a novel fully automatic and adaptive hybrid simulation scheme, we can speed up the generation of trajectories significantly and correctly predict the transient behavior of complex stochastic systems.…”
Get full text

An Influence of Gas Explosions on Dynamic Responses of a Single Degree of Freedom Model by Ki-Yeob Kang, Kwang-Ho Choi, Jae Woong Choi, Yong Hee Ryu, Jae-Myung Lee

“…Computational fluid dynamics (CFD) simulations contribute a key part of an ERA and predict possible blast consequences in a hazardous area. …”
Get full text

Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary, Shagun Agarwal

“…Despite these innovations, challenges such as data privacy, algorithmic bias, and the need for clinical validation remain. …”
Get full text

Ray-Tracing method for fields of view simulation in agricultural and forestry vehicles by Lorenzo Landi, Luca Burattini, Maurizio Cutini, Leonardo Vita, Luca Landi

“…In this paper, a virtual prediction method of the field of view for a tractor is analyzed using a rendering based on the Ray-Tracing algorithm. …”
Get full text

Study on Optimization of Mapping Method for Multi-Layer Cage Chicken House Environment by Zhaobo Zhang, Yanwei Yuan, Xin Dong, Yulong Yuan, Sa An, Yue Cao, Yang Li, Yuefeng Chen

“…To address these issues, this paper proposes an optimized mapping method based on an improved ICP algorithm, significantly improving the laser point clouds’ registration performance. …”
Get full text

A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

“…Experiment results show that good effects and stable accuracy can also be achieved with the presented photogrammetry vibration measurement and automatic modal identification algorithm.…”
Get full text

Smart design A2Zr2O7-type high-entropy oxides through lattice-engineering toughening strategy by Ying Zhang, Ke Ren, William Yi Wang, Xingyu Gao, Jun Wang, Yiguang Wang, Haifeng Song, Xiubing Liang, Jinshan Li

“…Here, based on the classic Griffith criteria, a physics-driven theoretical equation combined with a knowledge-enabled data-driven machine-learning algorithm is proposed to predict the KIC and elucidate the toughening mechanisms of A2Zr2O7-type HEOs. …”
Get full text

Designed to binge? Exploring user perceptions of interface features on video streaming platforms by Cynthia A. Dekker, Anna Tverdina

“…Results indicate that the extent to which a user has a preference for binge-watching as a viewing style predicts their usability perceptions of the platform's interface features. …”
Get full text

Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

“…Accurately predicting the temperature inside cables is crucial for effective cable management. …”
Get full text

Assimilating Summer Sea‐Ice Thickness Observations Improves Arctic Sea‐Ice Forecast by Ruizhe Song, Longjiang Mu, Svetlana N. Loza, Frank Kauker, Xianyao Chen

“…The long‐term Arctic‐wide SIT prediction is also improved. In spite of remaining uncertainties, summer CryoSat‐2 SIT observations have the potential to improve Arctic sea‐ice forecast on multiple time scales.…”
Get full text