Development of kinetics model for torrefaction of empty fruit bunch from palm oil waste by Nur Hazirah Huda, Mohd Harun, Noor Asma Fazli, Abdul Samad, Suriyati, Saleh

“…In this study, the kinetic parameters of empty fruit bunch (EFB) from palm oil waste torrefied at 240°C and 270°C are predicted by applying two different kinetic models namely Di Blasi-Lanzetta Model and Rousset Model for both heating and isothermal phases. …”
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Conformable ultrasound breast patch for deep tissue scanning and imaging by Du, Wenya, Zhang, Lin, Suh, Emma, Lin, Dabin, Marcus, Colin, Ozkan, Lara, Ahuja, Avani, Fernandez, Sara, Shuvo, Ikra Iftekhar, Sadat, David, Liu, Weiguo, Li, Fei, Chandrakasan, Anantha P., Ozmen, Tolga, Dagdeviren, Canan

“…Ultrasound is widely used for tissue imaging such as breast cancer diagnosis; however, fundamental challenges limit its integration with wearable technologies, namely, imaging over large-area curvilinear organs. …”
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Development of reconstructed intestinal micronucleus cytome (RICyt) assay in 3D human gut model for genotoxicity assessment of orally ingested substances by Lim, Hui Kheng, Hughes, Christopher Owen, Lim, Michelle Jing Sin, Li, Jia'En Jasmine, Rakshit, Moumita, Yeo, Calvin, Chng, Kern Rei, Li, Angela, Chan, Joanne Sheot Harn, Ng, Kee Woei, Leavesley, David Ian, Smith, Benjamin Paul Chapman

“…The micronucleus (MN) assay is widely used as part of a battery of tests applied to evaluate the genotoxic potential of chemicals, including new food additives and novel food ingredients. …”
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Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data by Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola

“…Thus far, most machine learning methods applied to gene expression datasets, including deep neural networks, lack personalised interpretability. …”
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Differentially private deep learning for time series data by Dwitami, Inggriany

“…To address this, a new concept of privacy was formalized, namely Differential Privacy, and it gave rise to various implementations to satisfy these privacy criterion in the context of machine learning, with Differentially Private Stochastic Gradient Descent (DP-SGD) being one of the most prominent. …”
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Maximizing airport runway throughput via sequencing arrival schedule by Lin, Chuanwen

“…A fast time simulation software AirTop is used to perform three test scenarios by varying the type of aircraft used for the test, namely the medium, heavy and super heavy aircrafts, on each of the three cases proposed. …”
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‘Doing’ leadership in interaction : a discursive investigation of emerging leadership construction in small group interaction by Dong, Shujing

“…Conversation analysis was applied to reveal the processes and strategies by which emerging leadership is constructed. …”
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Studies on the main group-based aromatic compounds : 1,4,2-Diazaborole and Germanium(0) species by Su, BoChao

“…In this thesis, a new family of aromatic five-membered B,N-heterocyclic rings, namely 1,4,2-diazaboroles, were introduced and fully characterized. …”
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Quantitative optical probing of plasma accelerators by Kasim, MF

“…</p> <p>The second method, which I have named three-dimensional (3D) spectrometer for brevity, is based on the concept of compressed sensing. …”

Uncovering latent features in massive open online courses by Gillani, N

“…</p> <p>We conclude by discussing the key insights of this work for online education, namely, that different discussion topics and pedagogical practices promote varying levels of peer-to-peer engagement. …”

Development of ground dune sand blended cement by Hassan, Omer Abdalla Alawad

“…To achieve this objective, different treatment methods, namely, mechanical, chemical and thermal methods (autoclave curing) have been applied to determine the reactivity of GDS. …”
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Enhancing High School Accounting Students Learning Experience: Designing a Smart Accounting Interactive Module (S/O 14578) by Ayoup, Hazeline, Hj Azid@ Aziz, Nurulwahida, Raja Mohd Ali, Raja Haslinda, Abdullah, Zaimah, Rosli, Khairina

“…The design of the content of the apps was developed based on ADDIE Learning Simulator Model that consists of five phases namely analysis, design, development, implementation and evaluation phases to ensure it achieves an effective accounting teaching and learning outcome. …”
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Graph representation learning by Zhang, Xinyi

“…To address this issue, a novel graph embedding based HIN representation learning framework named mSHINE is designed to simultaneously learn multiple node representations for different meta-paths (aspects) of the HIN. …”
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Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles by Tang, Wenbing, Zhou, Yuan, Zhang, Tianwei, Liu, Yang, Liu, Jing, Ding, Zuohua

“…Hence, to guarantee real-time collision avoidance and deal with linguistic requirements, a distributed and hybrid motion planning method, named Fuzzy-VO, is proposed for multirobot systems. …”
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A network-based approach to interpreting pore blockage and cake filtration during membrane fouling by Han, Qi, Li, Weiyi, Trinh, Thien An, Liu, Xin, Chew, Jia Wei

“…Three fouling parameters can be obtained to characterize the fouling behavior, namely, the probabilistic factor for deposition in the dead zone (β), the initial cake resistance (Rc0), and the specific cake resistance with respect to cake thickness (R′c), by best-fitting the experimental flux-decline data to the network model. …”
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Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability by Romli, Nurul Atiqah, Zulkepli, Nur Fariha Syaqina, Kasihmuddin, Mohd Shareduwan Mohd, Zamri, Nur Ezlin, Rusdi, Nur 'Afifah, Manoharam, Gaeithry, Mansor, Mohd. Asyraf, Jamaludin, Siti Zulaikha Mohd, Malik, Amierah Abdul

“…Motivated by these limitations, a novel logic mining model incorporating the mechanism to control the negative literal in the systematic Satisfiability, namely Weighted Systematic 2 Satisfiability in Discrete Hopfield Neural Network, is proposed as a logical structure to represent the behavior of the dataset. …”
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Nontoxic, biodegradable hyperbranched poly(β-amino ester)s for efficient siRNA delivery and gene silencing by Ooi, Ying Jie, Huang, Chongquan, Lau, Kieran, Chew, Sing Yian, Park, Jong Gu, Chan-Park, Mary B.

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Lactate cross-feeding between Bifidobacterium species and Megasphaera indica contributes to butyrate formation in the human colonic environment by Zhao, Sainan, Lau, Raymond, Zhong, Yang, Chen, Ming-Hsu

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Transcriptome analysis of ischemic stroke recovery induced by neural stem cell preconditioned with baicalein-enriched fraction of oroxylum indicum by Satar, Asmaa’ Mohd

“…Transplantation of regenerative stem cells preconditioned with natural products was applied to restore the damaged neural circuity after an attack of ischemic stroke. …”
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Computational modeling of selective laser melting process by Le, Kim Quy

“…Hence in this study, two types of keyhole-mode melting were investigated, namely medium-deep keyhole and well-deep keyhole. …”
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