23 papers · ranked by Valyu relevance
Jayne Smith-Palmer, Karin Cerri, William Valentine
Background The goal of chronic hepatitis C treatment is to remove the virus to avoid progression of HCV-related disease. Sustained virologic response (SVR) is the most widely used efficacy endpoint in clinical studies of hepatitis C, and represents the eradication of HCV from the body. The aim of the current review was…
Stefan Bode, Elektra Schubert, Hinze Hogendoorn, Daniel Feuerriegel
Multivariate classification analysis for event-related potential (ERP) data is a powerful tool for predicting cognitive variables. However, classification is often restricted to categorical variables and under-utilises continuous data, such as response times, response force, or subjective ratings. An alternative…
Siyuan Ma, Junyu Yan, Dexuan Yang, Wangjun Liao + 3 more
'Hairuo Lin' 'Yulin Liao'] Objectives: Large ventricular aneurysm secondary to myocardial infarction (MI) results in severe heart failure (HF) and limits the effectiveness of regeneration therapy, which can be improved by surgical ventricular reconstruction (SVR). However, the conventional SVR procedures do not yield…
Samah Khawaled, Simon K. Warfield, Moti Freiman
functional MRI Authors: ['Samah Khawaled' 'Simon K. Warfield' 'Moti Freiman'] Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head motion during fMRI scans, occurring between shots of slice…
Authors not listed
Accurate prediction of bond dissociation energies (BDEs) underpins mechanistic insight and the rational design of molecules and materials. We present a systematic, reproducible benchmark comparing quantum and classical machine learning models for BDE prediction using a chemically curated feature set encompassing atomic…
Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad
HawkEye Loss Authors: ['Mushir Akhtar' 'Muhammad Tanveer' 'Mohd. Arshad'] Support vector regression (SVR) has garnered significant popularity over the past two decades owing to its wide range of applications across various fields. Despite its versatility, SVR encounters challenges when confronted with outliers and…
Guogang Xie, Hani Attar, Ayat Alrosan, Sally Mohammed Farghaly Abdelaliem + 3 more
Searching for a reliable indicator of treatment response in sarcoidosis remains a challenge. The use of the soluble interleukin 2 receptor (sIL-2R) as a measure of disease activity has been proposed by researchers. A machine learning model was aimed to be developed in this study to predict sIL-2R levels based on a…
Xuehua Su, Xiaolong He, Gang Zhang, Yuehua Chen + 1 more
Multiparameter water quality trend prediction technique is one of the important tools for water environment management and regulation. This study proposes a new water quality prediction model with better prediction performance, which is combined with improved sparrow search algorithm (ISSA) and support vector…
Alena Uus, Irina Grigorescu, Milou P.M. van Poppel, Johannes K. Steinweg + 6 more
Slice-to-volume registration (SVR) methods allow reconstruction of high-resolution 3D images from multiple motion-corrupted stacks. SVR-based pipelines have been increasingly used for motion correction for fetal MRI since they allow more informed and detailed diagnosis of brain and body anomalies including congenital…
Ryan Mohr, Maria Fonoberova, Zlatko Drmač, Iva Manojlović + 1 more
'Igor Mezić'] Hierarchical support vector regression (HSVR) models a function from data as a linear combination of SVR models at a range of scales, starting at a coarse scale and moving to finer scales as the hierarchy continues. In the original formulation of HSVR, there were no rules for choosing the depth of the…
Nick A. Weaver, Jae-Sung Lim, Janniek Schilderinck, Geert Jan Biessels + 8 more
Depression is the most common neuropsychiatric complication after stroke. Infarct location is associated with post-stroke depressive symptoms (PSDS), but it remains debated which brain structures are critically involved. We performed a large-scale lesion-symptom mapping study to identify infarct locations, and white…
Shahrbanoo Goli, Hossein Mahjub, Javad Faradmal, Hoda Mashayekhi + 1 more
'Ali-Reza Soltanian'] The Support Vector Regression (SVR) model has been broadly used for response prediction. However, few researchers have used SVR for survival analysis. In this study, a new SVR model is proposed and SVR with different kernels and the traditional Cox model are trained. The models are compared based…
Hamidreza Ghazvinian, Sayed-Farhad Mousavi, Hojat Karami, Saeed Farzin + 11 more
Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar radiation based on support vector regression (SVR) and the improved particle swarm optimization (IPSO) algorithm. The new version of algorithm attempts to enhance…
Maolin Shi, Sun We, Xueguan Song, Hongyou Li
Support vector regression (SVR) has been widely used to reduce the high computational cost of computer simulation. SVR assumes the input parameters have equal sample sizes, but unequal sample sizes are often encountered in engineering practices. To solve this issue, a new prediction approach based on SVR, namely as…
Christoph Sperber, Daniel Wiesen, Hans-Otto Karnath
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regression-based lesion symptom mapping (SVR-LSM) to map anatomo-behavioural…
Susana Marcos Alonso, Ángel Batuecas Caletrío, Christof Röösli
Introduction and Objectives: Skull vibration-induced nystagmus (SVIN) has become a validated tool for evaluating the vestibular function. The presence of SVIN is a useful indicator of the asymmetry of vestibular function between the two ears. In unilateral vestibular loss, a 100 Hz bone-conducted vibration given to…
Anna Y. Lee, Adam D. Ewing, Kyle Ellrott, Yin Hu + 18 more
The phenotypes of cancer cells are driven in part by somatic structural variants (SVs). SVs can initiate tumours, enhance their aggressiveness and provide unique therapeutic opportunities. Whole-genome sequencing of tumours can allow exhaustive identification of the specific SVs present in an individual cancer…
Niyati Desai, Jorge Llop-Sayson, Nemanja Jovanović, Garreth Ruane + 3 more
'Eugene Serabyn' 'Stefan Martin' 'Dimitri Mawet'] For direct imaging of exoplanets, Scalar Vortex Coronagraphs (SVCs) are an attractive alternative to the popularly used Vector Vortex Coronagraphs (VVCs). This is primarily because they are able to induce the same phase ramp regardless of the incoming light's…
Authors not listed
High-entropy layered double hydroxides (HE-LDHs) have shown great potential in oxygen evolution reaction (OER) catalysis due to their tunable compositions and electronic structures. However, the synergistic effects between multiple vacancies, such as metal and oxygen vacancies, remain poorly understood and challenging…
Authors not listed
Researching the EEEV virus is challenging due to the virus's high lethality and significant risk. This study employed bioinformatics methods for domain search to investigate the pathogenesis and infection process of the EEEV virus P protein. The results demonstrated that the EEEV virus P protein contains domains that…
Bing Li, Andreas Artemiou, Lexin Li
> We introduce a principal support vector machine (PSVM) approach that can be used for both linear and nonlinear sufficient dimension reduction. The basic idea is to divide the response variables into slices and use a modified form of support vector machine to find the optimal hyperplanes that separate them. These…
Joseph R. A. Kincaid, Juan C. Caravez, Karthik S. Iyer, Rahul D. Kavthe + 2 more
A 7-step, 3-pot synthesis of the antiviral drug nirmatrelvir is described, arriving at the targeted drug in 70% overall yield. Critical amide bond-forming steps utilize new green technology that completely avoids traditional peptide coupling reagents, as well as epimerization of stereocenters. Likewise, dehydration of…
Kyle Macauslane, Cassandra Pegg, Kirsty Short, Benjamin Schulz
Acute respiratory infections (ARIs) are amongst the leading causes of death and disability, and the greatest burden of disease impacts children, pregnant women, and the elderly. Respiratory viruses account for the majority of ARIs. The unfolded protein response (UPR) is a host homeostatic defence mechanism primarily…