Adeno-associated virus mediated rhodopsin delivery in preventing secondary cone degeneration in rhodopsin knockout mice by Dauletbekov, D

“…<p>Rhodopsin-linked retinitis pigmentosa (RP) is the most common form of autosomal dominant RP, an inherited retinal degeneration, in which rod degeneration is followed by secondary cone loss leading to loss of vision and blindness. …”

Quality seaport : model building and empirical validation by Phang, Louise Foong Hung.

“…The survey was sent out to a total of 350 Freight Forwarders, Shipping Lines and Cargo Owners who are main users of the Singapore Port that we are focusing our study on for simplification purposes. …”
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Assessing the level of competence in automated trading among Malaysian traders by Zarith Sofia, Zulkifli, Hairuddin, Mohammad, Miswan, Surip, Nurnadiah, Zamri, Mustafa, Mamat, Sahimel Azwal, Sulaiman

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Seepage effects on settling velocity by Goh, Alvin Hanchang.

“…Settling is an important operation in many applications such as mining, wastewater treatment, biological science and particle mechanics. …”
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A hybrid thermo-mechanical phase-field model for anisotropic brittle fracture by Li, Weidong, Li, Peidong, Nguyen-Thanh, Nhon, Zhou, Kun

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Life is too short to be small: an experiment on mortality salience and prosocial behavior by Bao, Te, Li, Xun, Xia, Congling

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Urban transportation system long-term resilience assessment using multi-dimensional dynamic Bayesian network by Wang, Nanxi, Wu, Min, Yuen, Kum Fai, Gao, Xueyi

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Numerical analysis in rock blasting by Wang, Kaihao.

“…The drill and blast process, which is the most common technique for rock excavation, has been used not only in mining and quarrying but also in tunnelling and dam construction. …”
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Online learning for search and classification by Nguyen, Thanh Tam

“…Online learning is a common and useful tool for machine learning and data mining. In contrast to batch learning, online learning receives a sequence of training instances and uses some of them at a time. …”
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In silico identification of non-chitin binding hevein-like peptides in planta by Kee, Vivian Jie Yi

“…Using in silico methods, data mining was performed using the cysteine motifs of 6 Cysteine- (6C-) non-chitin binding (NCB) HLPs and 8 Cysteine- (8C-) NCB HLPs as query sequences. …”
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TiN-Mediated Multi-Level Negative Photoconductance of the ZrO2 Breakdown Path by Zhou, Yu, Kawashima, Tomohito, Ang, Diing Shenp

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Image Sensor Based Visible Light Positioning System with Improved Positioning Algorithm by Qian, Kemao, Wu, Dehao, Zhang, Ran, Zhong, Wen-De

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Impact of the Wireless Network’s PHY Security and Reliability on Demand-Side Management Cost in the Smart Grid by El Shafie, Ahmed, Niyato, Dusit, Hamila, Ridha, Al-Dhahir, Naofal

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End-fire surface wave antenna with metasurface coating by Wang, Ping, Shen, Zhongxiang

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The influence of MAC protocol on a non-synchronous localization scheme in large-scale UWSNs by Chen, Keyu, Cheng, En, Yuan, Fei, Su, Wei, Ma, Maode

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Visible light based occupancy inference using ensemble learning by Hao, Jie, Yuan, Xiaoming, Yang, Yanbing, Wang, Ran, Zhuang, Yi, Luo, Jun

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Particle free optical imaging of flow field by liquid crystal polarization by Huang, Yi, Shinoj, Vengalathunadakal K., Wong, TeckNeng, Matham, Murukeshan Vadakke

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MISE: meta-knowledge inheritance for social media-based stressor estimation by Wang, X, Feng, L, Zhang, H, Cao, L, Zeng, K, Li, Q, Ding, Y, Dai, Y, Clifton, D

“…Additionally, we construct a social media-based stressor estimation dataset that can help train web mining models to facilitate human well-being.</p>…”

Multiple independent genetic code reassignments of the UAG stop codon in phyllopharyngean ciliates by McGowan, J, Richards, TA, Hall, N, Swarbreck, D

“…In this study, we report the discovery of multiple independent genetic code changes within the Phyllopharyngea class of ciliates. By mining publicly available ciliate genome datasets, we discovered that three ciliate species from the TARA Oceans eukaryotic metagenome dataset use the UAG codon to putatively encode leucine. …”

TPepRet: a deep learning model for characterizing T-cell receptors–antigen binding patterns by Wang, M, Fan, W, Wu, T, Li, M

“…Results: To address this gap, we develop TPepRet, an innovative model that integrates subsequence mining with semantic integration capabilities. TPepRet combines the strengths of the Bidirectional Gated Recurrent Unit (BiGRU) network for capturing bidirectional sequence dependencies with the Large Language Model framework to analyze subsequences and global sequences comprehensively, which enables TPepRet to accurately decipher the semantic binding relationship between TCRs and peptides. …”