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Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling
uORF mRNA CDS Ribo-seq
2023/4/21
Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5 untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs). ...
Metabolite Profiling and Transcriptome Analysis Revealed the Conserved Transcriptional Regulation Mechanism of Caffeine Biosynthesis in Tea and Coffee Plants
茶叶中 咖啡因 NMT 生物合成
2023/4/19
Caffeine is a characteristic bioactive compound in tea and coffee plants, which is synthesized and accumulated extensively in leaves and seeds. However, little is known about the regulatory mechanism ...
Metabolites and Transcriptional Profiling Analysis Reveal the Molecular Mechanisms of the Anthocyanin Metabolism in the “Zijuan” Tea Plant (Camellia sinensis var. assamica)
Camellia sinensis L. transcriptome anthocyanin biosynthesis metabolism degradation
2023/4/20
Anthocyanins are natural colorants that have attracted increasing attention because of their extensive range of antioxidant, antimutagenic, and health-promoting properties. The mechanism of anthocyani...
Methodology for Efficient CNN Architectures in Profiling Attacks
Side-Channel Attacks Deep Learning Architecture
2019/7/15
The side-channel community has recently investigated a new approach, based on deep learning, to significantly improve profiled attacks against embedded systems. Previous works have shown the benefit o...
Vulnerability Analysis of a Soft Core Processor through Fine-grain Power Profiling
Cryptography FPGA microprocessor
2019/6/26
Embedded microprocessors are an important component of reconfigurable architectures. Fine-grain (e.g., cycle-accurate) power analysis of such processors has been used to improve power and energy effic...
Profiling Side-channel Analysis in the Restricted Attacker Framework
Side-channel analysis Machine learning Deep learning
2019/2/25
Profiling side-channel attacks represent the most powerful category of side-channel attacks. There, we assume that the attacker has access to a clone device in order to profile the device. Additionall...
Gradient Visualization for General Characterization in Profiling Attacks
Side Channel Analysis Profiling Attacks Deep Learning,
2018/12/19
Past few years have seen the emergence of Machine Learning and Deep Learning algorithms as promising tools for profiling attacks, especially Convolutional Neural Networks (CNN). The latters have indee...
Comparison of global nutrient profiling systems for restricting the commercial marketing of foods and beverages of low nutritional quality to children in Canada
food processing healthfulness marketing restrictions children nutrition policy
2018/11/21
Background: The Canadian government recently committed to introduce legislation to restrict the commercial marketing of unhealthy foods and beverages to children.
Convolutional Neural Networks with Data Augmentation against Jitter-Based Countermeasures -- Profiling Attacks without Pre-Processing --
side channel attacks machine learning deep learning
2017/8/10
In the context of the security evaluation of cryptographic implementations, profiling attacks (aka Template Attacks) play a fundamental role. Nowadays the most popular Template Attack strategy consist...
Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects
obesity insulin resistance low-calorie diet transcriptome analysis adipose tissue
2018/11/19
Background: A low-calorie diet (LCD) reduces fat mass excess, improves insulin sensitivity, and alters adipose tissue (AT) gene expression, yet the relation with clinical outcomes remains unclear.
Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects
obesity insulin resistance low-calorie diet transcriptome analysis adipose tissue
2018/11/16
Background: A low-calorie diet (LCD) reduces fat mass excess, improves insulin sensitivity, and alters adipose tissue (AT) gene expression, yet the relation with clinical outcomes remains unclear.
Profiling Good Leakage Models For Masked Implementations
leakage certification HODPA masking
2017/7/6
Leakage model plays a very important role in side channel attacks. An accurate leakage model greatly improves the efficiency of attacks. However, how to profile a "good enough" leakage model, or how t...
H-Nuclear Magnetic Resonance-Based Plasma Metabolic Profiling of Dairy Cows with Fatty Liver
Dairy Cow Fatty Liver H-Nuclear Magnetic Resonance Metabolomics Plasma
2016/5/19
Fatty liver is a common metabolic disorder of dairy cows during the transition period. Historically, the diagnosis of fatty liver has involved liver biopsy, biochemical or histological examination of ...
Factor profiling for ultra high dimensional variable selection
Bayesian Information Criterion Factor Profiling Forward Re- gression Maximum Eigenvalue Ratio Criterion Profiled Independent Screening
2016/1/19
We propose here a novel method of factor profiling (FP) for ultra high dimen-sional variable selection. The new method assumes that the correlation structure of the high dimensional data can be well r...
Robust Profiling for DPA-Style Attacks
side-channel analysis differential power analysis machine learning
2015/12/30
Profiled side-channel attacks are understood to be powerful when applicable: in
the best case when an adversary can comprehensively characterise the leakage, the resulting
model leads to attacks req...