Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Computer Science, Information Systems
Bilal Shoaib, Yasir Javed, Muhammad Adnan Khan, Fahad Ahmad, Rizwan Majeed, Muhammad Saqib Nawaz, Muhammad Adeel Ashraf, Abid Iqbal, Muhammad Idrees
Summary: In this study, a new and efficient square root extended kernel recursive least square estimation algorithm is developed for unforced dynamical non-linear state-space models. The algorithm reduces the computational burden of matrix inversion and shows better prediction performance compared to existing methods. Multiple experiments confirm the reliability, effectiveness, and applicability of the proposed algorithm in developing innovative non-linear systolic arrays.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Agriculture, Dairy & Animal Science
G. Rovere, G. de los Campos, A. L. Lock, L. Worden, A. Vazquez, K. Lee, R. J. Tempelman
Summary: Through analyzing a large number of milk samples, the study found that Bayesian regression methods outperformed partial least squares in predicting milk fatty acids, and identified spectral regions associated with fatty acids as well as the impact of carbon number and unsaturation level on the strength of associations.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Genetics & Heredity
Osval A. Montesinos-Lopez, Abelardo Montesinos-Lopez, David Alejandro Bernal Sandoval, Brandon Alejandro Mosqueda-Gonzalez, Marco Alberto Valenzo-Jimenez, Jose Crossa
Summary: The genomic selection methodology has revolutionized plant breeding by using statistical machine learning algorithms to predict candidate individuals. However, it faces challenges when predicting future seasons or new environments. This study compared the performance of the multi-trait partial least square (MT-PLS) regression method with the Bayesian Multi-trait Genomic Best Linear Unbiased Predictor (MT-GBLUP) method and found that MT-PLS outperforms MT-GBLUP in predicting future seasons or new environments.
FRONTIERS IN GENETICS
(2022)
Article
Food Science & Technology
Ya Chen, Yaoxiang Li, Roger A. Williams, Zheyu Zhang, Rundong Peng, Xiaoli Liu, Tao Xing
Summary: This study developed a rapid method for detecting the properties of packaged blueberries using near-infrared spectroscopy. Various preprocessing and optimization techniques were used to establish prediction models for the soluble solid content. Combining BP neural network and PLS algorithm improved the prediction accuracy for PE-packaged blueberries.
JOURNAL OF FOOD SCIENCE
(2023)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Environmental Sciences
Everson Cezar, Tatiane Amancio Alberton, Evandro Freire Lemos, Karym Mayara de Oliveira, Liang Sun, Luis Guilherme Teixeira Crusiol, Marlon Rodrigues, Amanda Silveira Reis, Marcos Rafael Nanni
Summary: The quantification of soil organic matter (SOM) has been increasing in the Brazilian Cerrado region, where SOM content tends to be low. This study evaluated the performance of a local spectral model for SOM prediction using spectroradiometry. The results showed that recalibration of the local models improved the prediction accuracy, but further research is needed to improve the identification of SOM spatial variability.
Article
Engineering, Mechanical
Yushan Liu, Luyi Li, Sihan Zhao
Summary: This paper combines Kriging and PLS to develop a global surrogate model for high-dimensional structural systems, named as PLS-K. In the proposed method, PLS is employed to identify the input-output principal components, wherein Kriging model is used to establish the relationship between each pair of principal components.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Food Science & Technology
Xinxin Zhang, Shangke Li, Yang Shan, Pao Li, Liwen Jiang, Xia Liu, Wei Fan
Summary: This study uses a near-infrared diffuse reflectance spectroscopy system to accurately determine the soluble solids content of citrus without causing damage. The results show that the NIRDRS light can penetrate the thick peel to some extent, and the selection of specific characteristic variables can improve the accuracy of the quantitative analysis models with fewer variables.
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2022)
Article
Genetics & Heredity
Liye Zhou, Zhifei Guo, Bijue Wang, Yongqing Wu, Zhi Li, Hongmei Yao, Ruiling Fang, Haitao Yang, Hongyan Cao, Yuehua Cui
Summary: Utilizing genomic data to classify heart failure patients and predict their risk, particularly using the GA-KPLS machine learning model, shows promise for identifying high-risk subgroups for further precision treatment. The GA-KPLS model exhibited the best performance in predicting patient risk and proved to be a powerful method for risk stratification of 3-year mortality in heart failure patients. Additionally, differentially expressed genes identified through this approach provide novel therapeutic targets for HFpEF.
FRONTIERS IN GENETICS
(2021)
Article
Chemistry, Analytical
Luping Zhao, Xin Huang
Summary: This paper proposes an accurate quality prediction method for batch processes by considering the slow time-varying characteristics. By constructing sliding windows and batch augmentation matrix, the process data of previous batches are incorporated into the regression model, leading to accurate predictions. Experimental results show that the proposed method outperforms traditional quality prediction methods.
Article
Environmental Sciences
Barenya Bikash Hazarika, Deepak Gupta, Narayanan Natarajan
Summary: This study proposed wavelet kernel-based LSTSVR models for accurate wind speed prediction. The models were evaluated using data from four different stations in Tamil Nadu, India, and were found to outperform other models.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Physics, Multidisciplinary
Xiling Liu, Shuisheng Zhou
Summary: Feature selection is crucial in machine learning and data mining. This study proposes a kernel partial least squares feature selection method based on the enhanced maximum weight minimum redundancy algorithm to simplify calculation and improve classification accuracy in high-dimensional datasets.
Article
Chemistry, Applied
Jun Niimi, Kristian H. Liland, Oliver Tomic, David W. Jeffery, Susan E. P. Bastian, Paul K. Boss
Summary: The study examined optimal preprocessing techniques for MIR spectra of wines and grape berry homogenates, testing their ability to model sensory properties of Cabernet Sauvignon and Chardonnay wines. Results showed SG transformations significantly influenced R-2, while EMSC did not. Predicting wine sensory attributes consistently across vintages remains challenging regardless of the predictors used.
Article
Marine & Freshwater Biology
Ben W. Rogers, Teguh P. Sidiq, Muhammad A. A. Wicaksono, Fickrie Muhammad, Didit Adytia, Didit Poerbandono
Summary: This study proposes a method for predicting tidal currents by combining one-dimensional LSHM and GPR. By decomposing the water surface elevation time series into multiple components and using a machine learning algorithm for current prediction, the method reduces the computational and observational requirements of conventional methods while achieving slightly better accuracy.
ESTUARINE COASTAL AND SHELF SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Guanlong Deng, Hongyong Yang, Shuning Zhang
MATHEMATICAL PROBLEMS IN ENGINEERING
(2016)
Article
Physics, Multidisciplinary
Hongyong Yang, Fujun Han, Mei Zhao, Shuning Zhang, Jun Yue
Article
Engineering, Chemical
Yuming Guo, Fuli Wang, Mingxing Jia, Shuning Zhang
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2018)
Article
Computer Science, Artificial Intelligence
Guanlong Deng, Zhiwang Zhang, Tianhua Jiang, Shuning Zhang
APPLIED SOFT COMPUTING
(2019)
Article
Computer Science, Artificial Intelligence
Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang
APPLIED SOFT COMPUTING
(2019)
Article
Automation & Control Systems
Guanlong Deng, Qingtang Su, Zhiwang Zhang, Huixia Liu, Shuning Zhang, Tianhua Jiang
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Fei Li, Tian-jun Li, Shu-ning Zhang
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019)
(2019)
Article
Computer Science, Information Systems
Shuning Zhang, Fei Chu, Guanlong Deng, Fuli Wang
Article
Computer Science, Information Systems
Shuning Zhang, Guanlong Deng, Fuli Wang
Proceedings Paper
Automation & Control Systems
Shuning Zhang, Hongyong Yang, Guanlong Deng
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
(2017)
Proceedings Paper
Automation & Control Systems
Luping Zhao, Shu Wang, Yuqing Chang, Fuli Wang, Shuning Zhang
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
(2017)
Proceedings Paper
Automation & Control Systems
Kang Li, Fuli Wang, Dakuo He, Shuning Zhang
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
(2017)
Article
Thermodynamics
Yuming Guo, Fuli Wang, Mingxing Jia, Shuning Zhang
APPLIED THERMAL ENGINEERING
(2017)
Article
Physics, Multidisciplinary
Fu-Yong Wang, Hong-Yong Yang, Shu-Ning Zhang, Fu-Jun Han
COMMUNICATIONS IN THEORETICAL PHYSICS
(2016)
Article
Computer Science, Information Systems
Fucai Wang, Guanlong Deng, Tianhua Jiang, Shuning Zhang
Article
Thermodynamics
Hai Zhao, Puzhen Gao, Xiaochang Li, Ruifeng Tian, Hongyang Wei, Sichao Tan
Summary: This study numerically investigates the interaction between flow-induced vibration and forced convection heat transfer in a tube bundle. The results show that the impact of flow-induced vibration on heat transfer varies in different flow velocity regions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rohit Chintala, Jon Winkler, Sugirdhalakshmi Ramaraj, Xin Jin
Summary: The current state of fault detection and diagnosis for residential air-conditioning systems is expensive and not suitable for widespread implementation. This paper proposes a cost-effective solution by introducing an automated fault detection algorithm as a screening step before more expensive tests can be conducted. The algorithm uses home thermostats and local weather information to identify thermodynamic parameters and detect high-impact air-conditioning faults.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
A. Azimi, N. Basiri, M. Eslami
Summary: This paper presents a novel optimization algorithm for improving the water-film cooling system of photovoltaic panels, resulting in a significant increase in net energy generation.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Duc-Thuan Phung, Chin-Hsiang Cheng
Summary: In this study, a novel CFDMD model is used to analyze and investigate the behavior of thermal-lag engines (TLE). The study shows that the CFDMD model effectively captures the thermodynamic behavior of the working gas and the dynamic behavior of the engine mechanism. Additionally, the study explores the temporal evolution of engine speed and the influence of various parameters on shaft power and brake thermal efficiency. The research also reveals the existence of a thermal-lag phenomenon in TLE.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Haiying Yang, Yinjie Shen, Lin Li, Yichen Pan, Ping Yang
Summary: The purpose of this article is to find a measure to improve the interfacial thermal transfer of graphene/silicon heterojunction. Through molecular dynamics simulation, it is found that surface modification can significantly reduce the thermal resistance, thereby improving the thermal conductivity of the graphene/silicon interface.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Qiong Wu, Yancheng Wang, Haonan Zhou, Xingye Qiu, Deqing Mei
Summary: This article introduces a visible methanol steam reforming microreactor, which uses an optical crystal as an observation window and measures the reaction temperature in real-time using infrared thermography. The results show that under lower oxygen to carbon ratio conditions, the microreactor has a higher heating rate and a stable gradient in temperature distribution.
APPLIED THERMAL ENGINEERING
(2024)
Review
Thermodynamics
Giulia Manco, Umberto Tesio, Elisa Guelpa, Vittorio Verda
Summary: In the past decade, there has been a growing interest in studying energy systems for the combined management of power vectors. Most of the published works focus on finding the optimal design and operations of Multi Energy Systems (MES). However, for newcomers to this field, understanding how to achieve the desired optimization details while controlling computational expenses can be challenging and time-consuming. This paper presents a novel approach to analyzing the existing literature on MES, with the aim of guiding practical development of MES optimization. Through the discussion of six case studies, the authors provide a mathematical formulation as a reference for building the model and emphasize the impact of different aspects on the problem nature and solver selection. In addition, the paper also discusses the different approaches used in the literature for incorporating thermal networks and storage in the optimization of multi-energy systems.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xuepeng Yuan, Caiman Yan, Yunxian Huang, Yong Tang, Shiwei Zhang, Gong Chen
Summary: In this study, a multi-scale microgroove wick (MSMGW) was developed by laser irradiation, which demonstrated superior capillary performance. The surface morphology and performance of the wick were affected by laser scan pitch, laser power, repetition frequency, and scanning speed. The MSMGW showed optimal capillary performance in alumina material and DI water as the working fluid.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Maofei Mei, Feng Hu, Chong Han
Summary: This paper proposes an effective local search method based on detection of droplet boundaries for understanding the dynamic process of droplet growth during dropwise condensation. The method is validated by comparing with experimental data. The present simulation provides an effective approach to more accurately predict the nucleation site density in future studies.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rahul Kumar Sharma, Ashish Kumar, Dibakar Rakshit
Summary: The study explores the use of phase change materials (PCM) as a retrofit with Heating Ventilation and Air-conditioning systems (HVAC) to reduce energy consumption and improve air quality. By incorporating PCM with specific thickness and fin configurations, significant energy savings can be achieved in comparison to standard HVAC systems utilizing R134a. This research provides policymakers with energy-efficient and sustainable solutions for HVAC systems to combat climate change.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Zhenhua Ren, Xiangjin Meng, Xingang Qi, Hui Jin, Yunan Chen, Bin Chen, Liejin Guo
Summary: This paper investigates the heat transfer mechanism and factors influencing thermal radiation in the process of supercritical water gasification (SCWG) of coal, and proposes a comprehensive numerical model to simulate the process. Experimental validation results show that thermal radiation accounts for a significant proportion of the total heat exchange in the reactor and a large amount of radiant energy exists in the important spectral range of supercritical water. Enhancing radiative heat transfer can effectively increase the temperature of the reaction medium and the gasification rate.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Mauro Abela, Mauro Mameli, Sauro Filippeschi, Brent S. Taft
Summary: Pulsating Heat Pipes (PHP) are passive two-phase heat transfer devices with a simple structure and high heat transfer capabilities. The actual unpredictability of their dynamic behavior during startup and thermal crisis hinders their large-scale application. An experimental apparatus is designed to investigate these phenomena systematically. The results show that increasing the number of evaporator sections and condenser temperature improves the performance of PHP. The condenser temperature also affects the initial liquid phase distribution and startup time.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Ke Gan, Ruilian Li, Yi Zheng, Hui Xu, Ying Gao, Jiajie Qian, Ziming Wei, Bin Kong, Hong Zhang
Summary: A 3-dimensional enhanced heat pipe radiator has been developed to improve heat dissipation and temperature uniformity in cooling high-power electronic components. Experimental results show that the radiator has superior heat transfer performance compared to a conventional aluminum fin radiator under different heating powers and wind speed conditions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xinyi Zhang, Shuzhong Wang, Daihui Jiang, Zhiqiang Wu
Summary: This study focuses on recovering waste heat from blast furnace slag using dry centrifugal pelletizing technology. A comprehensive two-dimensional model was developed to analyze heat transfer dynamics and investigate factors influencing heat exchange efficiency. The findings have important implications for optimizing waste heat recovery and ensuring safe operations.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xincheng Wu, An Zou, Qiang Zhang, Zhaoguang Wang
Summary: The boosting heat generation rate of high-performance processors is challenging traditional cooling techniques. This study proposes a combined design of active jet intermittency and passive surface modification to enhance heat transfer.
APPLIED THERMAL ENGINEERING
(2024)