Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation by Ando, Daisuke, Rashad, Sherif, Begley, Thomas J., Endo, Hidenori, Aoki, Masashi, Dedon, Peter C., Niizuma, Kuniyasu

“…Our knowledge of the role of the tRNA epitranscriptome in fine-tuning translation via codon decoding at tissue or cell levels remains incomplete. …”
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Characteristics of scanning curves of two soils by Tami, Denny, Rahardjo, Harianto, Leong, Eng Choon

“…The first slope model consisted of a fine sand layer overlying a gravelly sand layer, while the second slope model involved a silty sand layer overlying a gravelly sand layer. …”
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WAHRSIS : a low-cost high-resolution whole sky imager with near-infrared capabilities by Dev, Soumyabrata, Savoy, Florian M., Lee, Yee Hui, Winkler, Stefan

“…Cloud imaging using ground-based whole sky imagers is essential for a fine-grained understanding of cloud formations, which can be useful in many applications. …”
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Non-motorised transport prioritisation model using spatial intelligence by Poyil, Rohith P., Lopez, Maria Cecilia Rojas, Wong, Yiik Diew

“…The concept of spatial intelligence was used to predict the NMT prioritisation scheme; spatial intelligence is the ability to visualise spatial features and apply spatial judgement for mobility problems involving navigation or to identify fine details or patterns. The NMT prioritisation model was developed based on NMT movements in relation to spatial features such as residential buildings, community centres, schools and hospitals, recreation and sports centres, economic zones, transport hubs, bus stops and green spaces. …”
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Computation of electromagnetic fields scattered from objects with uncertain shapes using multilevel Monte Carlo method by Litvinenko, Alexander, Yucel, Abdulkadir C., Bagci, Hakan, Oppelstrup, Jesper, Michielssen, Eric, Tempone, Raul

“…The CMLMC method optimally balances statistical errors due to sampling of the parametric space and numerical errors due to the discretization of the geometry using a hierarchy of discretizations, from coarse to fine. The number of realizations of finer discretizations can be kept low, with most samples computed on coarser discretizations to minimize computational cost. …”
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Soil liquefaction assessment using soft computing approaches based on capacity energy concept by Chen, Zhixiong, Li, Hongrui, Goh, Anthony Teck Chee, Wu, Chongzhi, Zhang, Wengang

“…Several liquefaction evaluation procedures and approaches have been developed relating the capacity energy to the initial soil parameters, such as the relative density, initial effective confining pressure, fine contents, and soil textural properties. In this study, based on the capacity energy database by Baziar et al. (2011), analyses have been carried out on a total of 405 previously published tests using soft computing approaches, including Ridge, Lasso & LassoCV, Random Forest, eXtreme Gradient Boost (XGBoost), and Multivariate Adaptive Regression Splines (MARS) approaches, to assess the capacity energy required to trigger liquefaction in sand and silty sands. …”
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Using AI for music source separation by Lee, Jasline Jie Yu

“…The objective is to analyse the impacts of different components present in both Spectrogram and Waveform based systems through fine-tuning, data handling and ablation testing. …”
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Sproutly : plantable packaging by Dhanusha Surendran

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Language-guided visual retrieval by He, Su

“…For NLVL, we utilize the fine-grained semantic features of the sparse frames in the video. …”
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Vehicle re-identification using machine learning by Tang, Lisha

“…PANet and PMNet construct a two-stage attention structure to perform a coarse-to-fine search among identities. Finally, we address this Re-ID issue as a multi-task problem and employ Homoscedastic Uncertainty Learning to automatically balance the loss weightings. …”
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iTD3-CLN: learn to navigate in dynamic scene through Deep Reinforcement Learning by Jiang, Haoge, Esfahani, Mahdi Abolfazli, Wu, Keyu, Wan, Kong-wah, Heng, Kuan-kian, Wang, Han, Jiang, Xudong

“…In contrast to the conventional methods such as the DWA, our approach is found superior in the following ways: no need for prior knowledge of the environment and metric map, lower reliance on an accurate sensor, learning emergent behavior in dynamic scene that is intuitive, and more remarkably, able to transfer to the real robot without further fine-tuning. Our extensive studies show that in comparison to the original TD3, the proposed approach can obtain approximately 50% reduction in training to get same performance, 50% higher accumulated reward, and 30–50% increase in generalization performance when tested in unseen environments. …”
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PromptChart: prompting InstructGPT for zero & few-shot chart question answering and summarization by Do, Xuan Long

“…Existing state-of-the-art models rely on fine-tuning strategies and struggle with tasks that involve logical and arithmetic reasoning. …”
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Development of a Mandarin learning tool for children using speech recognition model by Wang, Yilin

“…Our approach involved a systematic methodology comprising the assembly of a children audio dataset, model performance testing with a focus on children's voices, and fine-tuning to elevate the model's acuity for concise Mandarin phrases. …”
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Experimental and theoretical investigation of failure mechanism in Al2O3SiC composite under plane shock waves by Gao, Yubo, Li, Zhihao, Ge, Yanxin, Shi, Liutong

“…This paper focused on the dynamic failure and fracture mechanisms of the fine-grained Al2O3/SiC composite subjected to plane shock waves. …”
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Temperature dependence of elastocaloric effect in a microstructurally graded NiTi alloy by Chen, Junyu, Wang, Wenqiang, Zhang, Qi, Lei, Liping, Ramamurty, Upadrasta, Fang, Gang

“…Detailed analyses show that while the fine grains present in the core of NiTi sheets reduce the global martensitic autocatalytic nucleation potency and increase strength to broaden Tspan, the coarser grains near the surfaces accommodate interlayer deformation to improve |ΔTad|. …”
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Effects of heat treatment parameters on the microstructure and mechanical properties of laser power bed fusion (LPBF) 316L stainless steel by Sun, Yuheng

“…These conditions result in fine-grained structures with cellular structures and high density of dislocations that contribute to improved strength and ductility. …”
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L’ Edudiante high tech bag. by Tan, Sherry Wanxin.

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Development of a real time 3D surgical scene for natural orifice endoscopic surgery by Ang, Stella Rui Yee

“…The final product of this project is being established when feasibility of IGT Navigation System and Data Registration are demonstrated. With fine tuning, it can be applied in relation to “Real Time Three-Dimensional (3D) Surgical Scene for Natural Orifice Endoscopic Surgery”, whereby its needs are closely met.…”
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Ultra wideBand indoor position localizaiton by Xu, Jun

“…Thus we develop an angle-of-arrival (AOA) cooperative positioning algorithm which takes advantage of high connectivity of wireless networks as well as the fine temporal resolution of UWB technique. Both TDOA and AOA ranging schemes have their own advantages and drawbacks, and thus we propose hybrid methods. …”
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Revisiting “conversations between father and son” by Ong, Bendini Junior Boon Kok

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