Controls on eruption style at Rabaul, Papua New Guinea – insights from microlites, porosity and permeability measurements by Bernard, Olivier., Bouvet de Maisonneuve, Caroline

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New insights into the diverse electronic phases of a novel vanadium dioxide polymorph : a terahertz spectroscopy study by Chia, Elbert E. M., Lourembam, James, Srivastava, Amar, La-o-vorakiat, Chan, Rotella, H., Venkatesan, T.

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The effects of online social interactions on life satisfaction of older Chinese adults: new insights based on a longitudinal approach by Zhou, Dong, Xu, Yi, Ai, Pengya

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The closure of Palaeo-Tethys in Eastern Myanmar and Northern Thailand: New insights from zircon U–Pb and Hf isotope data by Gardiner, NJ, Searle, MP, Morley, CK, Whitehouse, MP, Spencer, CJ, Robb, LJ

How to grow your dinner without leaving the house / by Ratinon, Claire, author 655602

Insights on Serology, CRISPR Diagnostics, and Machine Learning Architectures for Biological Sequences by Siddiqui, Sameed Muneeb

“…Collectively, these works contribute to the broader field of infectious disease research with new immunological insights paired with advances in technological and computational solutions.…”
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Accelerating NetZero: introducing a novel financial approach and new narratives for retrofit by Topouzi, M, Mallaburn, P, Bobrova, Y

Design of solar panel energy system by Zhang, Guanxing

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Phantom validation of Monte Carlo modeling for noncontact depth sensitive fluorescence measurements in an epithelial tissue model by Ong, Yi Hong, Zhu, Caigang, Liu, Quan

“…In this work, we employed the Monte Carlo method to investigate the depth sensitivity achieved by various illumination and detection configurations including both the traditional cone configurations and new cone shell configurations, which are implemented by convex or axicon lenses. …”
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Advancements in Models and Algorithms for Management Science by Yao, Yuanfan (Evan)

“…This thesis is composed of three independent chapters, each of which proposes novel modeling insights and algorithmic solutions for real-world problems. …”
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Cloud Spark Cluster to analyse English prescription big data for NHS intelligence by Fernando, Sandra, Sowinski-Mydlarz, Viktor, Virdee, Bal Singh

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Deep generative modeling for image synthesis and manipulation by Yu, Yingchen

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Computer Supported Cooperative Work and Social Computing : 15th CCF Conference, ChineseCSCW 2020, Shenzhen, China, November 7-9, 2020, Revised Selected Papers / by CCF Conference on Computer Supported Cooperative Work and Social Computing (15th : 2020 : Shenzhen, China), organiser 642953, Sun, Yuqing, editor 642954, Liu, Dongning, editor 642955, Liao, Hao, 1986-, editor 642956, Fan, Hongfei, editor 642957, Gao, Liping, editor 642958

A study on the productivity evaluation of building information modelling (BIM) based prefabricated prefinished volumetric construction (PPVC) project by Fernandez, Priscilla Crystal

“…This BIM based development is the new hostel development in NTU and it will be used as a case study in this paper. …”
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ComShell. by Ng, Yin Seng.

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Refining malware analysis with enhanced machine learning algorithms using hyperparameter tuning by El Mouhtadi, Walid, El Bakkali, Mohamed, Maleh, Yassine, Mounir, Soufyane, Ouazzane, Karim

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A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils by Karbasian, Hamidreza, van Rees, Wim M.

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Modeling and analysis of device-to-device communications and interference management in heterogeneous cellular networks by Afshang, Mehrnaz

“…Third, the cluster-centric analysis demonstrates significant improvement in the network performance when the device on which content is cached or device requesting content from a cache is biased to lie (or move) closer to the cluster center. Based on this insight, we develop and analyze a new generative double-variance Thomas cluster process model to incorporate such biased transmissions in the coverage and ASE analysis. …”
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Modeling and technique to improve PSRR and PS-IMD in analog PWM class-D amplifiers by Ge, Tong, Chang, Joseph Sylvester

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The sensitivity of tsunami models and tsunami energy to geologically constrained fault sources and shallow bathymetry by Felix, Raquel Picar

“…The Flores back-arc thrust is selected as the study site because the 2018 Mw >6 earthquake sequence gave new insight regarding its fault geometry – with an active fault ramp downdip of a d´ecollement – and tsunamigenic potential. …”
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