Article
Engineering, Environmental
Qiaoyan Shang, Wenwen Chi, Pengfei Zhang, Yujie Ling, Xiaojuan Liu, Guanwei Cui, Wenge Liu, Xifeng Shi, Bo Tang
Summary: In this study, Bi2O3-loaded titanium silicalite-1 molecular sieve (Bi2O3/TS-1) composites were prepared and used for degrading low-concentration erythromycin (ERM) in wastewater. The optimal operating parameters were determined through artificial neural network simulation, achieving a maximum removal efficiency of 98.02% under optimal conditions. Water quality parameters were also studied under optimal experimental conditions.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Multidisciplinary Sciences
Ta-Feng Lou, Wei-Hsi Hung
Summary: The purpose of our bibliometric research was to analyze the trends of neural networks and genetic algorithms, two well-known classical AI algorithms. We referred to the innovative research articles published in Symmetry to explore new applications for these algorithms. By searching the SSCI database, we obtained 951 publications on neural networks and 878 publications on genetic algorithms, which were categorized into eight groups for deep analysis. The results showed that the use of neural networks is growing more rapidly than genetic algorithms, mainly due to the boom in deep learning development.
Article
Computer Science, Artificial Intelligence
Mehmet Ozcalici, Mete Bumin
Summary: In this study, filter rule parameters were optimized using genetic algorithms and stock selection was performed with artificial neural networks to achieve excess returns over the market average. The results suggest that Borsa Istanbul may be a weak form efficient market, but utilizing artificial neural networks can lead to higher profits for investors.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Pegah Hoseingholi, Ramtin Moeini
Summary: Finding critical points of the wastewater network through predictive methods is cheaper and more efficient than repairing it after failures. In this study, a new method using genetic programming (GP) is proposed to predict the number of pipe failures in a sewer network. The results show that the accuracy of GP models is better than the corresponding artificial neural network (ANN) models.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Mehmet Ozcalici, Mete Bumin
Summary: The study explores the use of filter rule and genetic algorithm for identifying profitable trading points in stock markets, and utilizes artificial neural networks for stock selection. The results demonstrate significantly higher returns for the selected stocks compared to the buy and hold strategy.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Yanting Liu, Yanjun Liu, Sheng Wang, Tan Chen, Bingli Gao, Hang Gao, Hongtao Wang
Summary: Analyzing the kinetic behavior of sewage sludge pyrolysis is crucial for efficient reactor design in biofuel and syngas production. Six model components (cellulose, hemicellulose, lignin, protein, soluble sugars, and lipid) underwent pyrolysis using a thermogravimetric analyzer to understand the complex pyrolysis process. The effects of heating rate on the process were examined, and the temperature ranges of maximum mass loss rate were determined for each component.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Construction & Building Technology
Xiaorui Zhang, Frederic Otto, Markus Oeser
Summary: An ANN-based back-calculating program combined with a GA optimization algorithm was developed to back-calculate flexible pavement layer moduli. The moduli of asphaltic layers decreased with temperature and number of APT load cycles, while the unbound base layer and subgrade moduli were insensitive to temperature changes. The integrated GABP algorithm showed potential in accurately back-calculating pavement layer moduli from geophone measured deflections.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Review
Green & Sustainable Science & Technology
Yi Wang, Yuhan Cheng, He Liu, Qing Guo, Chuanjun Dai, Min Zhao, Dezhao Liu
Summary: This article summarizes and analyzes the applications of artificial intelligence in wastewater treatment. It introduces commonly used AI models and their advantages and disadvantages, and reviews the inputs, outputs, objectives, and major findings of specific AI applications in water quality monitoring, laboratory-scale research, and process design. Although AI models have achieved success in the field of wastewater treatment, there are still challenges and limitations that need to be overcome in order to successfully apply AI models in this area.
Article
Mechanics
Xiaoyang Liu, Jian Qin, Kai Zhao, Carol A. Featherston, David Kennedy, Yucai Jing, Guotao Yang
Summary: This paper proposes an efficient method for minimum weight optimization of composite laminates using artificial neural network (ANN) based surrogate models. By predicting the buckling loads of the laminates using ANN, the need for time-consuming buckling evaluations in the optimization process is eliminated. The use of lamination parameters and other dimensional inputs significantly reduces the number of required models and computational cost.
COMPOSITE STRUCTURES
(2023)
Article
Chemistry, Applied
S. Abdullah, Rama Chandra Pradhan, Dileswar Pradhan, Sabyasachi Mishra
Summary: In this study, the pectinase-assisted extraction of cashew apple juice was modeled and optimized using a multi-layer artificial neural network coupled with genetic algorithm. The experimental results showed a good agreement between the predicted values and the actual values.
Article
Engineering, Chemical
Gaiqiang Yang, Yunfei Xu, Lijuan Huo, Dongpeng Guo, Junwei Wang, Shuang Xia, Yahong Liu, Qi Liu
Summary: In this study, the GA-BP-ANN method is used to predict the cost of a wastewater treatment plant. The method has advantages in improving data stability and providing better help for decision makers compared to the linear algorithm. The theoretical proof and simulation verification demonstrate the effectiveness and feasibility of this method, which can guide the design and operation of sewage treatment plants.
DESALINATION AND WATER TREATMENT
(2023)
Article
Engineering, Marine
Xin-Jiang Wei, Xiao Wang, Gang Wei, Cheng-Wei Zhu, Yu Shi
Summary: The study aims to predict the jacking forces during vertical tunneling construction process using artificial neural networks (ANNs) and hybrid genetic algorithm optimized ANNs (GA-ANNs). The GA-ANN models perform better than the ANN model, especially on RMSE values. The height of overlaying water, average jacking speed, and geological condition are identified as the most effective input parameters on the jacking force in this study.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Carlin Geor Malar, Muthulingam Seenuvasan, Mohanraj Murugesan, S. B. Ron Carter, Kannaiyan Sathish Kumar
Summary: The presence of urea in runoff from fertilized soil could contribute to the growth of dangerous blooms. Integrating enzymatic urea hydrolysis with nanotechnology can significantly reduce diffusion barriers. A model developed using a Genetic Algorithm and an Artificial Neural Network showed that the system's diffusion restrictions were reduced. Additionally, a neural network with one hidden layer and 20 neurons demonstrated the highest output and least mean square error.
Article
Chemistry, Physical
E. Mossavi, M. Hosseini Sabzevari, M. Ghaedi, M. H. Ahmadi Azqhandi
Summary: This study compared the predictive power of response surface methodology, general regression neural network, and artificial neural network in modeling the adsorption of an azo dye from aqueous solutions using a newly developed nanocomposite. The results showed that all three models accurately predicted the adsorption performance, with the artificial neural network achieving the highest precision and accuracy.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Food Science & Technology
G. V. S. Bhagya Raj, Kshirod K. Dash
Summary: The freeze-drying encapsulation process was optimized for dragon fruit peel extract using artificial neural network and genetic algorithm, yielding the optimal composition of wall materials and ultrasonication power. The predicted values for various responses were obtained under the optimal conditions, with a low relative deviation between the predicted model and experimental outcomes. The thermal stability of the encapsulated powder was also examined, showing differences based on pH levels.
FOOD AND BIOPROCESS TECHNOLOGY
(2022)
Article
Chemistry, Applied
Zhinian Cheng, Yang Wang, Daokuan Jin, Jianxin Liu, Wenghang Wang, Yongqiang Gu, Wanxin Ni, Zhaoxuan Feng, Mingbo Wu
Summary: Porous carbon-based catalysts derived from petroleum pitch exhibit excellent propane conversion (45.6%) and alkenes selectivity (73.9%, propylene and ethylene) due to their abundant surface quinone/ketone C-O groups and appropriate adsorption/desorption strengths, providing a promising alternative for propane dehydrogenation (PDH) process.
Article
Multidisciplinary Sciences
Jiaoyue Wang, Jingying Fu, Zhitong Zhao, Longfei Bing, Fengming Xi, Feng Wang, Jiang Dong, Shiyun Wang, Gang Lin, Yan Yin, Qinqin Hu
Summary: To reduce greenhouse gas emissions, China has been developing and utilizing biomass as a renewable and clean alternative to fossil fuels. This study estimates the potential and emission reduction of different types of biomass feedstock through various conversion pathways, and finds that bioelectricity is the most effective bioenergy option. The research provides valuable guidance on exploiting the untapped biomass resources in China to achieve carbon neutrality by 2060.
Article
Multidisciplinary Sciences
Song Peng, Ze Wang, Peng Tang, Shuo Wang, Yiqiang Huang, Qiubo Xie, Yapeng Wang, Xintao Tan, Tang Tang, Xuzhi Yan, Jing Xu, Weihua Lan, Luofu Wang, Dianzheng Zhang, Bin Wang, Tiejun Pan, Jun Qin, Jun Jiang, Qiuli Liu
Summary: Lipid deposition plays important roles in the development, metastasis, and drug resistance of clear cell renal cell carcinoma (ccRCC), and the molecular mechanisms underlying this deposition remain largely unknown. Through a CRISPR-Cas9 screening, the epigenetic regulator PHF8 was identified as an important regulator in ccRCC lipid deposition. PHF8 is regulated by the VHL/HIF axis and is essential for VHL deficiency-induced lipid deposition. It transcriptionally up-regulates GLUL, which promotes lipid deposition and ccRCC progression. The PHF8-GLUL axis represents a potential therapeutic target for ccRCC treatment.
Article
Chemistry, Analytical
Yunxiao Wang, Dongyu Gu, Chang Liu, Shanshan Tang, Shuai Wang, Yi Wang, Yi Yang
Summary: The tender leaves of Toona sinensis have strong antioxidant activity, which is attributed to the main antioxidants 1,2,3,4,6-penta-O-galloyl-β-D-glucose (PGG) and ethyl gallate (EG). PGG showed better antioxidant activity than EG due to its lower energy gap and reaction energy barrier. The main antioxidant mechanism of PGG and EG was single electron transfer followed by proton transfer (SET-PT).
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Fengyun Li, Shuang Huang, Zihao Zhan, Yunfei Lu, Tian Shen, Jianguo Zhou
Summary: This paper proposes a simulation optimization model for cabin wireless channel propagation based on ray tracing algorithms. The propagation path of wireless signals in the cabin is searched using the mirror method in the reverse ray tracing algorithm, and the total signal intensity is calculated based on the principle of signal superposition to generate the cabin wireless network signal coverage thermal map. The experimental results demonstrate the rationality, feasibility, and reliability of deploying wireless networks in cabins.
2023 IEEE 9TH INTL CONFERENCE ON BIG DATA SECURITY ON CLOUD, BIGDATASECURITY, IEEE INTL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, HPSC AND IEEE INTL CONFERENCE ON INTELLIGENT DATA AND SECURITY, IDS
(2023)
Article
Medicine, General & Internal
Qi Yu, Yongmei Guo, Xiaoting Xu, Xuejiao Ding, Huayan Zhang, Guanjun Luo, Chuanlin Zhang
Summary: The objective of this study was to investigate the protective effect of omeprazole (OME) on cisplatin (CDDP)-induced kidney injury by inhibiting inflammatory response via blocking the toll-like receptor 4 (TLR4)/nuclear factor kappa B (NF-kappa B) signaling pathway. The results showed that OME can reduce the renal inflammatory response induced by CDDP in rats, decrease the expression levels of inflammatory factors, prevent the activation of the TLR4/NF-kappa B signaling pathway, and effectively alleviate the damage caused by CDDP to kidney tissue.
ACTA MEDICA MEDITERRANEA
(2023)
Article
Engineering, Civil
Jian Gong, Kexin Zhang, Houji Zhang, Honglei Zhang
Summary: This article is dedicated to promoting the remote intelligent monitoring system for slope research, reducing the threat of natural disasters to highways. A typical slope on the Liu-An highway was selected as the research object, and a slope stability analysis system based on the improved Sarma algorithm was developed, considering factors such as inhomogeneous boundary conditions, water content, and reinforcement angle. The system successfully achieved 3D visualization monitoring of the highway slope, meeting the specifications and enabling four-level pre-warning, which lays the foundation for long-term safe operation of the highway.
CIVIL ENGINEERING JOURNAL-STAVEBNI OBZOR
(2023)
Article
Biochemistry & Molecular Biology
Yage Liu, Yimiao Tian, Xuan Dai, Tianyuan Liu, Yueyi Zhang, Shan Wang, Hanfen Shi, Jiyuan Yin, Tianshu Xu, Ruyuan Zhu, Yanfei Zhang, Dandan Zhao, Sihua Gao, Xiang-Dong Wang, Lili Wang, Dongwei Zhang
Summary: This study demonstrates that dietary lycopene consumption can suppress inflammation and apoptosis of pancreatic islets, improve islet function, and reduce hyperglycemia and dyslipidemia in diabetes by regulating the TLR4/MyD88/NF-kappa B signaling pathway. These findings highlight lycopene as a novel strategy for managing patients with diabetes.
Review
Oncology
Mingdian Tan, Yizhi Ge, Xiaogang Wang, Yan Wang, Yi Liu, Feng He, Hongqi Teng
Summary: This paper aims to review the isolation methods, structure research, roles, and mechanisms of extracellular vesicles (EVs) in tumorigenesis and multiple types of tumors, their potential application in drug delivery, and the expectations for their future in clinical research. Many questions still need to be addressed for practical clinical applications of EVs.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2023)
Article
Engineering, Civil
Jiawei Wang, Hongshuai Gao, Kexin Zhang, Zongyun Mo, Hongchun Wang
Summary: The bridge horizontal swivel system generally adopts a symmetrical structure and uses a spherical hinge structure that can adjust the rotation to complete rotation construction. However, due to the complexity of railway lines under bridges, some asymmetrical horizontal swivel systems have been increasingly applied in practical engineering. While this system is more suitable for areas with complex railway lines and provides better economic benefits, it is also extremely unstable, especially under dynamic loads such as earthquakes and pulsating wind effects.
ARCHIVES OF CIVIL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Ping Wei, Jianhua Li, Xuezhong Wang
Summary: This paper proposes a nonlinear fixed point iterative method for finding a solution of the tensor complementarity problem (TCP). Theoretical analysis shows that tensor complementarity problems can be represented as a fixed point equation with a monotonic increasing odd function. A fixed point iterative method is proposed based on this equation, and the convergence results are studied. Computer-simulation results further validate the effectiveness of the proposed method in solving the TCP.
ENGINEERING LETTERS
(2023)
Article
Public, Environmental & Occupational Health
Xiaoxu Zeng, Yiran Xie, Xiaokun Yang, Zhibin Peng, Jing Tang, Lei Yang, Shuxia Lin, Jun Han, Yanping Zhang, Dayan Wang
Summary: The WHO suggested using influenza surveillance systems to monitor COVID-19 due to similarities in respiratory symptoms. The prevalence of COVID-19 was assessed by analyzing ILI cases and positive SARS-CoV-2 tests reported to the influenza Surveillance Information System.
Article
Construction & Building Technology
Yuzhi Chen, Yingjie Ning, Xudong Chen, Weihong Xuan, Yuzhu Guo
Summary: This study investigates the meso-structure of recycled aggregate concrete under different admixture and curing conditions. Recycled concrete aggregate with slag power and fly ash admixture was casted and subjected to steam curing. X-ray CT was employed to analyze the meso-structure, including pore structure, aggregate, and interface traction zone. The results reveal that steam curing increases the pore volume and complexity of morphologies, with a shift from spherical to flat and slender pores. The porosity of micron pores in recycled aggregate concrete is about 2.3%, predominantly comprising pores with an aperture less than 300 μm.
INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Qiuyun Lyu, Chenhao Ma, Yanzhao Shen, Shaopeng Jiao, Yipeng Sun, Liqin Hu
Summary: This study conducts a vulnerability analysis on Ethereum smart contracts using the contract dependency graph (CDG) and identifies potential victim contracts. The results show that the number of potential victim contracts is significantly higher than that of vulnerable contracts.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoxuan Jia, Lijuan Wan, Xiaoshan Chen, Wanying Ji, Shaoqing Huang, Yuangang Qi, Jingjing Cui, Shengcai Wei, Jin Cheng, Fan Chai, Caizhen Feng, Yulu Liu, Hongmei Zhang, Yingshi Sun, Nan Hong, Shengxiang Rao, Xinhua Zhang, Youping Xiao, Yingjiang Ye, Lei Tang, Yi Wang
Summary: This study aimed to investigate the ability of CT and endoscopic sonography (EUS) in predicting the malignant risk of 1-2-cm gastric gastrointestinal stromal tumors (gGISTs) and to determine whether radiomics could be used for risk stratification. The results showed that the CT radiomics model performed well in discriminating malignant 1-2-cm gGISTs and had potential clinical applicability.
EUROPEAN RADIOLOGY
(2023)
Article
Engineering, Environmental
Xinping Zhang, Yuxin Guo, Xiaoyang Liu, Shun-Yu Wu, Ya-Xuan Zhu, Shao-Zhe Wang, Qiu-Yi Duan, Ke-Fei Xu, Zi-Heng Li, Xiao-Yu Zhu, Guang-Yu Pan, Fu-Gen Wu
Summary: This study develops a nanotrigger HCFT for simultaneous photodynamic therapy and light-triggered ferroptosis therapy. The nanotrigger can relieve tumor hypoxia, induce enhanced photodynamic reaction, and facilitate the continuation of Fenton reaction, ultimately leading to lethal ferroptosis in tumor cells.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Olumide Bolarinwa Ayodele, Toyin Daniel Shittu, Olayinka S. Togunwa, Dan Yu, Zhen-Yu Tian
Summary: This study focused on the semihydrogenation of acetylene in an ethylene-rich stream using two alloyed Pt catalysts PtCu and PtCo. The PtCu catalyst showed higher activity and ethylene yield compared to PtCo due to its higher unoccupied Pt d-orbital density. This indicates that alloying Pt with Cu is more promising for industrial relevant SHA catalyst.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Guowei Chen, Wen-Cheng Chen, Yaozu Su, Ruicheng Wang, Jia-Ming Jin, Hui Liang, Bingxue Tan, Dehua Hu, Shaomin Ji, Hao-Li Zhang, Yanping Huo, Yuguang Ma
Summary: This study proposes an intramolecular dual-locking design for organic luminescent materials, achieving high luminescence efficiency and performance for deep-blue organic light-emitting diodes. The material also exhibits unique mechanochromic luminescence behavior and strong fatigue resistance.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Joren van Stee, Gregory Hermans, Jinu Joseph John, Koen Binnemans, Tom Van Gerven
Summary: This work presents a continuous solvent extraction method for the separation of cobalt and nickel in a millifluidic system using Cyphos IL 101 (C101) as the extractant. The optimal conditions for extraction performance and solvent properties were determined by investigating the effects of channel length, flow rate, and temperature. The performance of a developed manifold structure was compared to a single-channel system, and excellent separation results were achieved. The continuous separation process using the manifold structure resulted in high purity cobalt and nickel products.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Yan Xu, Jingai Jiang, Xinyi Lv, Hui Li, Dongliang Yang, Wenjun Wang, Yanling Hu, Longcai Liu, Xiaochen Dong, Yu Cai
Summary: A programmed gas release nanoparticle was developed to address the challenges in treating diabetic infected wounds. It effectively removes drug-resistant pathogens and remodels the wound microenvironment using NO and H2S. The nanoparticle can eliminate bacteria and promote wound healing through antibacterial and anti-inflammatory effects.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Tong Xia, Zhilin Xi, Lianquan Suo, Chen Wang
Summary: This study investigated a highly efficient coal dust suppressant with low initial viscosity and high adhesion-solidification properties. The results demonstrated that the dust suppressant formed a network of multiple hydrogen bonding cross-linking and achieved effective adhesion and solidification of coal dust through various chemical reactions.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Jinzhi Cai, Zhenshan Li
Summary: A density functional theory-based rate equation was developed to predict the gas-solid reaction kinetics of CaO carbonation with CO2 in calcium looping. The negative activation energy of CaO carbonation close to equilibrium was accurately predicted through experimental validation.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Jianxiong Chen, Fuhao Ren, Ningning Yin, Jie Mao
Summary: This study presents an economically efficient and easily implementable surface modification approach to enhance the high-temperature electrical insulation and energy storage performance of polymer dielectrics. The self-assembly of high-insulation-performance boron nitride nanosheets (BNNS) on the film surface through electrostatic interactions effectively impedes charge injection from electrodes while promoting charge dissipation and heat transfer.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Zijian Li, Zhaohui Yang, Shao Wang, Hongxia Luo, Zhimin Xue, Zhenghui Liu, Tiancheng Mu
Summary: This study reports a strategy for upgrading polyester plastics into value-added chemicals using electrocatalytic methods. By inducing the targeted transfer of *OH species, polyethylene terephthalate was successfully upgraded into potassium diformate with high purity. This work not only develops an excellent electrocatalyst, but also provides guidance for the design of medium entropy metal oxides.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Navneet Singh Shekhawat, Surendra Kumar Patra, Ashok Kumar Patra, Bamaprasad Bag
Summary: This study primarily focuses on developing a sulphur dyeing process at room temperature using bacterial Lysate, which is environmentally friendly, energy and cost effective, and sustainable. The process shows promising improvements in dye uptake and fastness properties.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Dengjia Shen, Hongyang Ma, Madani Khan, Benjamin S. Hsiao
Summary: This study developed cationic PVC nanofibrous membranes with high filtration and adsorption capability for the removal of bacteria and hexavalent chromium ions from wastewater. The membranes demonstrated remarkable performance in terms of filtration efficiency and maximum adsorption capacity. Additionally, modified nanofibrous membranes were produced using recycled materials and showed excellent retention rates in dynamic adsorption processes.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Xiaoyan Wang, Zhikun Wang, Ben Jia, Chunling Li, Shuangqing Sun, Songqing Hu
Summary: Inspired by photosystem II, self-supported Fe-doped NiCoP nanowire arrays modified with carboxylate were constructed to boost industrial-level overall water splitting by employing the concerted proton-coupled electron transfer mechanism. The introduction of Fe and carboxyl ligand led to improved catalytic activity for HER and OER, and NCFCP@NF exhibited long-term durability for overall water splitting.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Pengyao Yu, Ge Yang, Yongming Chai, Lubomira Tosheva, Chunzheng Wang, Heqing Jiang, Chenguang Liu, Hailing Guo
Summary: Thin LTA zeolite membranes were prepared through secondary growth of nano LTA seeds in a highly reactive gel, resulting in membranes with superior permeability and selectivity in gas separation applications.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Baiqin Zhou, Huiping Li, Ziyu Wang, Hui Huang, Yujun Wang, Ruichun Yang, Ranran Huo, Xiaoyan Xu, Ting Zhou, Xiaochen Dong
Summary: The use of machine learning to predict the performance of specific adsorbents in phosphate adsorption shows great promise in saving time and revealing underlying mechanisms. However, the small size of the dataset and insufficient detailed information limits the model training process and the accuracy of results. To address this, the study employs a fuzzing strategy that replaces detailed numeric information with descriptive text messages on the physiochemical properties of adsorbents. This strategy allows the recovery of discarded samples with limited information, leading to accurate prediction of adsorption amount, capacity, and kinetics. The study also finds that phosphate uptake by adsorbents is generally through physisorption, with some involvement of chemisorption. The framework established in this study provides a practical approach for quickly predicting phosphate adsorption performance in urgent scenarios, using easily accessible information.
CHEMICAL ENGINEERING JOURNAL
(2024)
Article
Engineering, Environmental
Paula Alejandra Lamprea Pineda, Joren Bruneel, Kristof Demeestere, Lisa Deraedt, Tex Goetschalckx, Herman Van Langenhove, Christophe Walgraeve
Summary: This study evaluates the use of four esterified fatty acids and three vegetable oils as absorption liquids for hydrophobic VOCs. The experimental results show that isopropyl myristate is the most efficient liquid for absorbing the target VOCs.
CHEMICAL ENGINEERING JOURNAL
(2024)
