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It is suggested that nano-mechanical cantilevers can be employed as high-Q filters to circumvent laser noise limitations on the sensitivity of frequency modulation spectroscopy. In this approach a cantilever is actuated by the radiation…

Quantum Physics · Physics 2009-11-10 Boris M. Chernobrod , Gennady P. Berman , Peter W. Milonni

We propose a powerful adaptive contrast test with ordinal constraint contrast coefficients determined by observed responses. The adaptive contrast test can perform using easily calculated contrast coefficients and existing statistical…

Methodology · Statistics 2021-09-23 Masahiro Kojima

Mantel's test (MT) for association is conducted by testing the linear relationship of similarity of all pairs of subjects between two observational domains. Motivated by applications to neuroimaging and genetics data, and following the…

Methodology · Statistics 2018-12-18 Dustin Pluta , Hernando Ombao , Chuansheng Chen , Gui Xue , Robert Moyzis , Zhaoxia Yu

With the advent of laser frequency combs, coherent light sources that offer equally-spaced sharp lines over a broad spectral bandwidth have become available. One decade after revolutionizing optical frequency metrology, frequency combs hold…

This work investigates a simple yet powerful dense prediction task adapter for Vision Transformer (ViT). Unlike recently advanced variants that incorporate vision-specific inductive biases into their architectures, the plain ViT suffers…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Zhe Chen , Yuchen Duan , Wenhai Wang , Junjun He , Tong Lu , Jifeng Dai , Yu Qiao

When modeling a given type of data, we consider it to involve two key aspects: 1) identifying relevant elements (e.g., image pixels or textual words) to a central element, as in a convolutional receptive field, or to a query element, as in…

Machine Learning · Computer Science 2025-10-14 Hehe Fan , Yi Yang , Mohan Kankanhalli , Fei Wu

A number of studies have proposed to use domain adaptation to reduce the training efforts needed to control an upper-limb prosthesis exploiting pre-trained models from prior subjects. These studies generally reported impressive reductions…

Machine Learning · Computer Science 2017-02-28 Valentina Gregori , Arjan Gijsberts , Barbara Caputo

DNA methylation (meDNA) is a suspected modulator of alternative splicing, while splicing in turn is involved in tumour formations nearly as frequently as DNA mutations. Yet, the impact of meDNA on tumorigenesis via its effect on splicing…

The understanding of mechanisms that control epigenetic changes is an important research area in modern functional biology. Epigenetic modifications such as DNA methylation are in general very stable over many cell divisions. DNA…

Genomics · Quantitative Biology 2019-01-21 Charalampos Kyriakopoulos , Pascal Giehr , Alexander Lück , Jörn Walter , Verena Wolf

Object detection has been dominated by anchor-based detectors for several years. Recently, anchor-free detectors have become popular due to the proposal of FPN and Focal Loss. In this paper, we first point out that the essential difference…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Shifeng Zhang , Cheng Chi , Yongqiang Yao , Zhen Lei , Stan Z. Li

To ensure faithful information transmission, cells utilize nonequilibrium drives to reduce errors. Kinetic proofreading is a classic mechanism known to sharpen ligand discrimination by T lymphocytes. It remains an open question whether the…

Biological Physics · Physics 2025-09-23 Qing Xu , Shenshen Wang

We consider the problem of uniformity testing of Lipschitz continuous distributions with bounded support. The alternative hypothesis is a composite set of Lipschitz continuous distributions that are at least $\varepsilon$ away in $\ell_1$…

Statistics Theory · Mathematics 2021-10-14 Sudeep Salgia , Qing Zhao , Lang Tong

SELEX (Systematic Evolution of Ligands by Exponential Enrichment) is an experimental procedure that allows extracting, from an initially random pool of DNA, those oligomers with high affinity for a given DNA-binding protein. We address what…

Genomics · Quantitative Biology 2009-11-11 Marko Djordjevic , Anirvan M. Sengupta

The fidelity of postselecting devices based on direct photon number detection can be significantly improved by insertion of a phase-insensitive optical amplifier in front of the detector. The scheme is simple, and the cost to the…

Quantum Physics · Physics 2009-11-13 John Jeffers

The accuracy of quantitative absorption spectroscopy depends on correctly distinguishing molecular absorption signatures in a measured transmission spectrum from the varying intensity or "baseline" of the light source. Baseline correction…

Instrumentation and Detectors · Physics 2019-12-16 Ryan K. Cole , Amanda S. Makowiecki , Nazanin Hoghooghi , Gregory B. Rieker

Molecular assembly offers a promising path to detect life beyond Earth, while minimizing assumptions based on terrestrial life. As mass spectrometers will be central to upcoming Solar System missions, predicting molecular assembly from…

Machine Learning · Computer Science 2025-07-28 Lindsay A. Rutter , Abhishek Sharma , Ian Seet , David Obeh Alobo , An Goto , Leroy Cronin

Cell-free DNA (cfDNA) analysis is a powerful, minimally invasive tool for monitoring disease progression, treatment response, and early detection. A major challenge, however, is accurately determining the tissue of origin, especially in…

Genomics · Quantitative Biology 2025-06-03 Keng-Jung Lee , Dharanya Sampath , Konstantinos Mavrommatis

Accurate diagnostic tests are essential for effective screening and treatment. However, individual biomarkers often fail to provide sufficient diagnostic accuracy, as they typically capture only one aspect of the complex disease process.…

Methodology · Statistics 2025-07-08 Ainesh Sewak , Sandra Siegfried , Torsten Hothorn

It has been shown that a random-effects framework can be used to test the association between a gene's expression level and the number of DNA copies of a set of genes. This gene-set modelling framework was later applied to find associations…

Methodology · Statistics 2015-10-09 Renée Menezes , Leila Mohammadi , Jelle Goeman , Judith Boer

Interpretability of deep learning is widely used to evaluate the reliability of medical imaging models and reduce the risks of inaccurate patient recommendations. For models exceeding human performance, e.g. predicting RNA structure from…

Quantitative Methods · Quantitative Biology 2022-08-31 Mara Graziani , Niccolò Marini , Nicolas Deutschmann , Nikita Janakarajan , Henning Müller , María Rodríguez Martínez
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