Microbial lipid production from food waste saccharified liquid and the effects of compositions by Ma, Xiaoyu, Gao, Zhen, Gao, Ming, Ma, Yingqun, Ma, Hongzhi, Zhang, Min, Liu, Yu, Wang, Qunhui

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Survival of an emerging foodborne pathogen : Group B Streptococcus (GBS) serotype III sequence type (ST) 283—under simulated partial cooking and gastric fluid conditions by Zwe, Ye Htut, Goh, Esther Zhu Hui, Chau, Man Ling, Aung, Kyaw Thu, Yuk, Hyun-Gyun

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Carbon dioxide capture from biomass pyrolysis gas as an enabling step of biogenic carbon nanotube synthesis and hydrogen recovery by Veksha, Andrei, Lu, Jintao, Tsakadze, Zviad, Lisak, Grzegorz

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Regional-privacy-preserving operation of networked microgrids: edge-cloud cooperative learning with differentiated policies by Xia, Qinqin, Wang, Yu, Zou, Yao, Yan, Ziming, Zhou, Niancheng, Chi, Yuan, Wang, Qianggang

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Distilling crowd knowledge from software-specific Q&A discussions for assisting developers’ knowledge search by Chen, Chunyang

“…With software penetrating into all kinds of traditional or emerging industries, there is a great demand on software development. …”
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Modelling cross-docking in a three-level supply chain with stochastic service and queuing system: MOWFA algorithm by Rostami, Parinaz, Avakh Darestani, Soroush, Movassaghi, Mitra

“…In this system, a number of suppliers send different raw materials to several different cross‐docks. …”
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Personalised modelling of geographic movements in depression by Palmius, N

“…Regression models trained on these grouped individuals significantly improve on the regression results from models trained over all participants and models trained on limited calibration data.…”

An innovative design of household civil defence shelters by Khong, Zhi Cong.

“…In order to be less dependent on foreign imports for raw materials, there is a need to come up with alternatives to reduce the amount of sand needed. …”
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Time-series representation learning via temporal and contextual contrasting by Eldele, Emadeldeen, Mohamed Ragab, Chen, Zhenghua, Wu, Min, Kwoh, Chee Keong, Li, Xiaoli, Guan, Cuntai

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Antimicrobial activity, phytochemical and toxicity analyses of salam [Syzygium polyanthum (Wight) Walp.] leaf extract and its application in food by Ramli, Suzita

“…The susceptibility test showed that all tested pathogenic bacteria were inhibited by S. …”
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Antistaphylococcal and antibiofilm activities of ethanolic extract of Piper cubeba L. by Velu, Selvi

“…P. cubeba L. sanitized raw and steamed chicken meat at 0.05%, 0.50% and 5.00% was accepted by the panelists. …”
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Unified information fusion network for multi-modal RGB-D and RGB-T salient object detection by Gao, Wei, Liao, Guibiao, Ma, Siwei, Li, Ge, Liang, Yongsheng, Lin, Weisi

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Precious metal price prediction using deep neural networks by Peng, Zhiling

“…Gold has always played an essential role in financial activities as it is treated as a global currency, an attractive investment and is the raw material in many industries. Because of the multiple attributes of gold, the price of it will be affected by a multitude of factors, including the supply and demand, global economic conditions, national policies, and many other factors such as the U.S. dollar index, the U.S. dollar exchange rate, crude oil prices, etc. …”
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Multi-scale and multiphase modeling of abrasive flow machining process with experimental validation by Mohamed Adel Abdelhakem Amen

“…Here, the study established all the simulations using complex shape for surface and basic to complex shapes for the particle. …”
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Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

“…We propose a method to automatically derive social signals related to individual well-being in team collaboration from raw audio and video data collected in teamwork contexts. …”
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Tracking and detecting objects in image sequence by Wang, Li

“…The first piece of work addresses learning hierarchical features for visual object tracking by using deep learning. Previously, raw pixel values or hand-crafted features are used to represent target objects. …”
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Arsenic (III) removal from water using natural sedimentary rocks by Yusof, Nur Zulaikha

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Using machine learning to discover candidate localised transcripts from microscopy and genome-wide bioinformatics data by Kiourlappou, M

“…Next, I present the innovative pipeline I use to systematically manage the output raw microscopy images and to create figures (approximately 1400 figures). …”

Colloidal quantum dot light-emitting diode architectures for high performance by Leck, Kheng Swee

“…QD-LEDs have made great progress in terms of device performance over the years and there is room for further improvement. With all these findings and demonstrations in this thesis, we conclude that QD-LEDs hold great promise for potential applications in lighting and displays…”
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The evolution and fate of waste plastics in landfills subject to physical and biochemical processes — implications for microplastics by Lu, Xuhong

“…In total, 7 leachate samples and 5 refuse samples from different MSW landfills were investigated. MPs were found in all the samples. The results indicate the identification of over 10 types of MPs in both refuse and leachate samples, with the majority of MPs were fragment-shaped MPs, exhibiting a size of less than 100 μm. …”
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