Quintic non-polynomial spline for time-fractional nonlinear Schrödinger equation by Ding, Qinxu, Wong, Patricia Jia Yiing

Subjects: “…Quintic Non-polynomial Spline…”
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B-spline tight frame based force matching method by Yang, Jianbin, Zhu, Guanhua, Tong, Dudu, Lu, Lanyuan, Shen, Zuowei

“…The B-spline tight frames system has a simple explicit expression which is useful for representing our force functions. …”
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Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A by Zhao, Haoduo., Liu, Min, Yang, Junjie, Chen, Yuyang, Fang, Mingliang

“…The biochemical consequences induced by xenobiotic stress are featured in dose-response and time-resolved landscapes. Understanding the dynamic process of cellular adaptations is crucial in conducting the risk assessment for chemical exposure. …”
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Game of drones by Wei, LuoBin

“…Objective of Tier 1 task of Game of Drones was to fly a drone through a series of gates with the shortest possible lap time while avoiding any collision with a competing drone or environmental obstacles without utilizing computer vision for navigation. …”
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Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data by Huang, Yuzhu, Abdelhalim, Awad, Stewart, Anson, Zhao, Jinhua, Koutsopoulos, Haris

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Cloud removal in optical remote sensing imagery based on SAR-guided inpainting using deep learning by Dou, Kaijie

“…Finally, we intercept the contamination part of the optical image with cloud occlusion from the generated image and splice it into the original image to obtain a high-resolution image with promising performance. …”
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Partially linear transformation cure models for interval-censored data by Hu, Tao, Xiang, Liming

“…The proposed modeling approach combines a logistic regression formulation for the probability of cure with a partially linear transformation model for event times of susceptible subjects. The estimation is achieved by using a spline-based sieve maximum likelihood method, which is computationally efficient and leads to estimators with appealing properties such as consistency, asymptotic normality and semiparametric efficiency. …”
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Refining learning models in grammatical inference by Wang, Xiangrui

“…Test results based on Splice-junction Gene Sequence database demonstrate the method reduces model size by 32% from the widely used deterministic finite automaton model. …”
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Investigating molecular vulnerabilities in TP53-mutant transformed myeloproliferative neoplasms by Paterson, A

“…To investigate the mechanisms by which PCBP2 is required to support <em>TP53</em>-sAML, RNA-seq data from a cancer cell line model was analysed following <em>PCBP2</em> depletion for differentially expressed genes and alternative splicing events. Splice analysis showed the extent of PCBP2 regulation with a number of isoforms switching events relevant to myeloid malignancies. …”

Discrete geodesic graphs by Fang, Zheng

“…We build a harmonic B-splines formation equivalent to the Green's third identity. …”
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Securing untrusted memories in embedded systems by Vig, Saru

“…This thesis aims to address this challenge by proposing compile-time and runtime strategies for securing untrusted memories from active memory attacks (e.g. replay, spoo ng and splicing attacks) that can compromise the con dentiality and integrity of the memory data. …”
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Diagnosis of age-related macular degeneration (AMD) using optical fiber sensor by Muhamad Nur Azhar Noordin

“…The FPI consists of a standard single-mode fiber spliced with 1mm of hollow-core fiber and 0.8mm of no-core fiber. …”
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Pan-cancer analysis of whole genomes by ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium

“…A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation; analyses timings and patterns of tumour evolution; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity; and evaluates a range of more-specialized features of cancer genomes.…”