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

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

“…This dissertation focuses on combining cutting-edge immunological, diagnostic, and computational approaches to confront infectious diseases more effectively, with a particular emphasis on SARS-CoV-2. The first two chapters delve into the immunological aspects of SARS-CoV-2, exploring the dynamics of antibody responses during primary infection and reinfection. …”
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Creative Research : The Theory and Practice of Research for the Creative Industries / by Collins, Hilary (Hilary J.), author 656091

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

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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)

“…Existing work on explaining binary black-box classifiers typically studies when the model predicts 1 or 0 without accounting for the confidence (i.e., probability) of the prediction. …”
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Modeling and analysis of device-to-device communications and interference management in heterogeneous cellular networks by Afshang, Mehrnaz

“…In the context of D2D networks, this dissertation first develops a new spatial model in which the locations of D2D devices are modeled according to a Poisson cluster process. …”
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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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A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils by Karbasian, Hamidreza, van Rees, Wim M.

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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 waves that would hit Mataram are higher and arrive earlier (∼1.6 – 2.7 m high; <9 minutes) than the waves in Denpasar (∼0.6 – 1.4 m high; <23 – 27 minutes). …”
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A study on the productivity evaluation of building information modelling (BIM) based prefabricated prefinished volumetric construction (PPVC) project by Fernandez, Priscilla Crystal

“…Of these productive technologies, BIM and PPVC were identified by the authority to be of high potential to achieve productivity gains. BIM is a technology and a process. BIM as a technology enables users to better visualise their development in a simulated environment by generating a 3D model. …”
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Reverse translational approaches to population neuroimaging: using rodent models to interpret genetic associations with MRI by Tisca, C

“…We implemented new multi-modal <em>ex-vivo</em> MRI protocols and post-processing pipelines, working in a new Bruker 7T scanning facility. …”

Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…Additionally, our work also provides valuable insight into per-layer importance of language models by showing that certain layers have a stronger direct correlation with the overall model accuracy.…”
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Exaggerated expectations in ancient starch research and the need for new taphonomic and authenticity criteria by Mercader, Julio, Akeju, Tolutope, Brown, Melisa, Bundala, Mariam, Collins, Matthew J., Copeland, Les, Crowther, Alison, Dunfield, Peter, Henry, Amanda, Inwood, Jamie, Itambu, Makarius, Kim, Joong-Jae, Larter, Steve, Longo, Laura, Oldenburg, Thomas, Patalano, Robert, Sammynaiken, Ramaswami, Soto, María, Tyler, Robert, Xhauflair, Hermine

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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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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

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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