Results 211 to 220 of about 69,747 (307)

Impact of Cooking Method on the Physicochemical Properties, Digestibility, and Sensory and Flavor Profiles of Chinese Chestnuts. [PDF]

Foods
Song L, Xu M, Zhang K, Guo G, Huai L, Zhao Y, Wang T, Pan L, Cui R, Zhang L.   +9 more
europepmc   +1 more source

Technoeconomic and sustainability analysis of batch and continuous crystallization for pharmaceutical manufacturing

AIChE Journal, EarlyView.
Abstract In pharmaceutical industries, continuous manufacturing methods have already been well established to improve productivity and process intensification. However, to better understand the trade‐offs of continuous crystallizers over the existing batch production systems, a robust technoeconomic cost and sustainability analysis is necessary to ...
Jungsoo Rhim, Zoltan K. Nagy
wiley   +1 more source

Effects of steaming practices on the cadmium distribution in edible tissues of the swimming crabs (<i>Portunus trituberculatus</i>) and its health risk assessment. [PDF]

Food Chem X
Wu D, Mo X, Zhang X, Shi Y, Huang D, Fang C, Tang Y, Han F, Tian L, Li S.   +9 more
europepmc   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

AIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

Steam-Processed <i>Stauntonia hexaphylla</i> (Thunb.) Decne Fruit Stimulates Osteoblast Differentiation in MC3T3-E1 Cells and Inhibits Osteoclastogenesis in RAW 264.7 Cells. [PDF]

Int J Mol Sci
Awais M, Akter R, Morshed MN, Kim JH, Kong BM, Lee DW, Choi SK, Lee CS, Ahn JC, Yang DC, Lee JM.   +10 more
europepmc   +1 more source

Perimeter‐intensified inverse Zr‐Co oxygen carrier for biomass chemical‐looping gasification with high CO selectivity

AIChE Journal, EarlyView.
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao, Haifeng Qi, Kun Lei, Tingwei Wang, Yijie Yang, Hongwei Li, Rongjun Zhang, Yu Wu, Canran Huang, Zhao Sun   +9 more
wiley   +1 more source

Impact of rice wine-steamed <i>Cistanche deserticola</i> polysaccharides on intestinal flora and immunological modulation in immunosuppressive mice induced by cyclophosphamide. [PDF]

Front Immunol
Lian J, Zhu Y, Hu Q, Dong K, Peng Z, Feng Y, Ling N, Yu C, Liu P, Lei X, Shi J, Jia T.   +11 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Mechanisms of Suanzaoren () and its processed products in treating insomnia: an integrated study based on network pharmacology and metabolomics. [PDF]

J Tradit Chin Med
Yuan Z, Shizan C, Yue H, Ji S, Guoming SU, Chao Z, Jing L, Pengpeng L, Tianzhu J.   +8 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source