Synthesis of biodegradable thermoplastic elastomers based on polyurethane by Liow, Sing Shy.

“…Biodegradable thermoplastic elastomer based on polyurethanes (BTPU) were synthesized from random or triblock copolymers, with polycaprolactone (PCL) as one of the component in the soft segments (SS). 1,6-hexamethylene diisocyanate (HMDI) and 1,4-butanediol (BDO) served as hard segments (HS). …”
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A platform-based product family design methodology for leverage differentation and cost benefits by Cai, Yanling

“…This thesis proposes an integrated framework within the scenario of market segmentation, which decides the inter-platform leverage against platform differentiation and the intra-platform design towards the minimal production cost.…”
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The 2005 PASCAL visual object classes challenge by Everingham, M, Zisserman, A, Williams, CKI, Van Gool, L, Allan, M, Bishop, CM, Chapelle, O, Dalal, N, Deselaers, T, Dorkó, G, Duffner, S, Eichhorn, J, Farquhar, JDR, Fritz, M, Garcia, C, Griffiths, T, Jurie, F, Keysers, D, Koskela, M, Laaksonen, J, Larlus, D, Leibe, B, Meng, H, Ney, H, Schiele, B, Schmid, C, Seemann, E, Shawe-Taylor, J, Storkey, A, Szedmak, S, Triggs, B, Ulusoy, I, Viitaniemi, V, Zhang, J

“…The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. …”

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. …”
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Controllable broadband multicolour single-mode polarized laser in a dye-assembled homoepitaxial MOF microcrystal by He, Huajun, Cui, Yuanjing, Li, Hongjun, Shao, Kai, Chen, Banglin, Qian, Guodong

“…Here, we demonstrate a single crystal with multiple segments based on the host-guest metal-organic framework ZJU-68 hierarchically hybridized with different dye molecules generating controllable single-mode green, red, and near-infrared lasing, with the lasing mode mechanism revealed by computational simulation. …”
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Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction by Chen, Xinsong, Sifakis, Emmanouil G., Robertson, Stephanie, Neo, Shi Yong, Jun, Seong-Hwan, Tong, Le, Tay, Apple Hui Min, Lövrot, John, Hellgren, Roxanna, Margolin, Sara, Bergh, Jonas, Foukakis, Theodoros, Lagergren, Jens, Lundqvist, Andreas, Ma, Ran, Hartman, Johan

“…The accuracy was further supported by the correlation between WTC-based test results and patients' clinical responses in a separate validation study, where the neoadjuvant treatment regimens of 15 BC patients were mimicked. Collectively, the WTC model allows us to accomplish personalized drug testing within 10 d, even for small-sized tumors, highlighting its potential for individualized BC therapy. …”
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Hepatic effects of prolonged oral administration of Aqueous extracts from Trigonella foenum-graecum (Fenugreek) seeds explored through pathology techniques by Okorie, Nnaemeka, Ibe, Onyekachi Ewa, Okekpa, Simon Imakwu, Nwakpa, Anthony Chukwudi, Agom, Dansy Daniel, Pauline, Iyke-Ogbo, Adaeze, Obi Laura, Mmesomachi, Uche Bethel, Nyirahafashimana, Valentine, Obi, Ihuoma A.

“…Materials and methods: Thirty-five Norvegicus rattus weighing 150-200g were randomly assigned to five groups, with each subjected to distinct dietary regimens containing 2%, 4%, 6%, and 8% Trigonella foenum-graecum, and a control group. …”
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AI and big data applications by May Thu Naing

“…AI covers the research area generally; machine learning and deep learning are being sub-segments of AI. This FYP report focuses on supervised machine learning and unsupervised machine learning. …”
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GPU-based commonsense reasoning for real-time query answering and multimodal analysis by Tran, Ha Nguyen

“…Secondly, in order to reason and retrieve information on rule-based knowledge bases, the thesis introduces gSparql, a fast and scalable inference and querying method on mass-storage RDF data with rule-based entailment regimes. Our approach accepts different rulesets and executes the reasoning process at query time when the inferred triples are determined by the set of triple patterns defined in the query. …”
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Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Therefore, I designed a muscle segmentation technique which is capable of differentiating muscle and debris regions. …”
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Professional Attachment Report [with] Nanjing Spark plug factory (subsidiary of the Nanjing electroceramics factory). by Moy, Loh Cheak.

“…The contents have been accordingly segmented and can be referred from the Table Of Contents. …”
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Developing an Android application for medical imaging visualisation workflows by Low, Gabriel Zhi You

“…This Final Year Project focuses on the design and development of the Android application, and the integration of and improvements made to the existing frontend react web application, that allows users to view DICOM images, modify segmentation masks, and generate reports, with the aid of the existing PACS and backend server. …”
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The hidden scar : uncovering Singapore's trauma preparedness by Amir Yusof, Goh, Rui Qi, Koh, Steffi Min Xuan, Goh, Tiffany Qi Qi

“…Collated into a feature magazine, the stories are split into three main segments, spanning from the preparation measures taken by nation to the social and legal challenges faced by trauma survivors. …”
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Road sign recognition for assisting drivers by Poon, Wai Chung

“…In this paper, color segmentation is applied in YCbCr color space and shape detection is processed through blob analysis method. …”
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An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure by Seo, Bokyoung, Jung, Jueun, Han, Donghyeon, Lee, Kyuho

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Polymer folding through active processes recreates features of genome organization by Goychuk, Andriy, Kannan, Deepti, Chakraborty, Arup K, Kardar, Mehran

“…Moreover, segments of the polymer that show correlated active (sub)diffusion attract each other through effective long-ranged harmonic interactions, whereas anticorrelations lead to effective repulsions. …”
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Self-pretraining of 3D transformer variations with masked autoencoders for multiple instances in medical image analysis by Li, Linyuan

“…My experimental results show that self-supervised pre-training based on MAE markedly improves diverse downstream tasks including MRI brain tumor segmentation, abdominal CT multi-organ segmentation, chest X-ray disease classification and breast cancer detection.…”
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A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar by Zuo, Jia

“…In prior research, some studies have leveraged Long Short-Term Memory (LSTM) networks or one-dimensional Convolutional Neural Networks (1D CNNs) for waveform segmentation, with limited success in recovering high-resolution waveforms. …”
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Computer aided diagnoses for detecting the severity of Keratoconus by Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq

“…The method had four main steps: preprocessing, image segmentation, morphological processing, and pathological ratio calculation. …”
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CRUSH : The rise of female superathletes by Chow, Mindy

“…In each issue of CRUSH, the contents are categorised into various segments (i.e. local athletes features and interviews, international features, dictionary to unravel jargons within the sport, writings and ilustrations) This publication is an arena where sports meets editorial. …”
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