22 papers · ranked by Valyu relevance
Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun + 1 more
—The multi-modality and stochastic characteristics of human behavior make motion prediction a highly challenging task, which is critical for autonomous driving. While deep learning approaches have demonstrated their great potential in this area, it still remains unsolved to establish a connection between multiple…
Moyuan Quan, Huining Zhang, Xiaohong Deng, Huijia Liu + 2 more
'Xiujuan Song'] Multiple sclerosis (MS), a chronic inflammatory and degenerative autoimmune disease characterized by the activation of various inflammatory cells, leads to demyelination and neuronal injury. Neutrophils, often underestimated in MS, are gaining increased attention for their significant functions in MS…
Sandra Meyer-Moock, Susan Raths, Katharina Strunk, Bernward Siebert + 4 more
'Katrin Hinkfoth' 'Markus Weih' 'Steffen Fleßa' 'Thomas Kohlmann'] Background Multiple Sclerosis is an autoimmune inflammatory disease of the central nervous system that often leads to premature incapacity for work. Therefore, the MSnetWork project implements a new form of care and pursues the goal of maintaining or…
Da Jeong Byun, Jaeho Lee, Kyungryung Ko, Young-Min Hyun
Background Neutrophil extracellular trap (NET) has been implicated in the pathology of multiple sclerosis (MS) and experimental autoimmune encephalomyelitis (EAE). However, the specific contributions of NLRP3, a NET-associated molecule, to EAE pathogenesis and its regulatory role in NET formation remain unknown.…
Hang Zhang, Thanh D. Nguyen, Jinwei Zhang, Melanie Marcille + 4 more
Chronic active multiple sclerosis (MS) lesions are characterized by a paramagnetic rim at the edge of the lesion and are associated with increased disability in patients. Quantitative susceptibility mapping (QSM) is an MRI technique that is sensitive to chronic active lesions, termed rim+ lesions on the QSM. We present…
Eun Bin Cho, Daegyeom Kim, ByeongChang Jeong, Jong Hwa Shin + 5 more
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are two representative chronic inflammatory demyelinating disorders of the central nervous system. We aimed to determine and compare the alterations of white matter (WM) connectivity between MS, NMOSD, and healthy controls (HC). This study…
Haoyuan Chen, Yufei Han, Xu Pin, Yanyi Li + 2 more
Models based on U-like structures have improved the performance of medical image segmentation. However, the single-layer decoder structure of U-Net is too "thin" to exploit enough information, resulting in large semantic differences between the encoder and decoder parts. Things get worse if the number of training sets…
Hellaoui, Hamed, Laitila, Matti + 4 more
—The upcoming generation of mobile telecommunication systems is expected to support new use cases, where the mobile network serves one or more IP subnetworks located behind the User Equipment (UEs). This would create new challenges for the mobile system to efficiently serve such behind-UE subnetworks, as the latter are…
Rukiye Polattimur, Mehmet Süleyman Yıldırım, Emre Dandıl, Zhuhuang Zhou
'Zhuhuang Zhou'] Background/Objectives: Multiple sclerosis (MS) is an autoimmune disease that damages the myelin sheath of the central nervous system, which includes the brain and spinal cord. Although MS lesions in the brain are more frequently investigated, MS lesions in the cervical spinal cord (CSC) can be much…
Eli J. Larson, Melissa R. Pergande, Michelle E. Moss, Kalina J. Rossler + 16 more
Native top-down proteomics (nTDP) integrates native mass spectrometry (nMS) with top-down proteomics (TDP) to provide comprehensive analysis of protein complexes together with proteoform identification and characterization. Despite significant advances in nMS and TDP software developments, a unified and user-friendly…
Danfeng Hong, Jing Yao, Deyu Meng, Naoto Yokoya + 1 more
—Enormous efforts have been recently made to superresolve hyperspectral (HS) images with the aid of high spatial resolution multispectral (MS) images. Most prior works usually perform the fusion task by means of multifarious pixel-level priors. Yet the intrinsic effects of a large distribution gap between HS-MS data…
Anis Elloumi, Lindsay Mas-Normand, Jamie Bride, Guillaume Reversat + 9 more
Oxylipins, small polar molecules derived from the peroxidation of polyunsaturated fatty acids (PUFAs), serve as biomarkers for many diseases and play crucial roles in human physiology and inflammation. Despite their significance, many non-enzymatic oxygenated metabolites of PUFAs (NEO-PUFAs) remain poorly reported…
Chanel Avenant, Johnson Mosoko Moliki, Alexis J. Bick, Sigcinile Dlamini + 7 more
'Sigcinile Dlamini' 'Mandisa Singata-Madliki' 'G. Justus Hofmeyr' 'Pai-Lien Chen' 'Karl-Heinz Storbeck' 'Donita J. Africander' 'David W. Erikson' 'Janet P. Hapgood'] Background The progestin norethisterone (NET), which is structurally related to testosterone, and its enanthate form (NET-EN), are used in contraception…
Robert Courter, Enrique Alvarez, Roger Enoka, Alaa Ahmed
Movement slowness is a common and disruptive symptom of multiple sclerosis (MS). A potential cause is that individuals with MS slow down to conserve energy as a behavioral adjustment to heightened metabolic costs of movement. To investigate this prospect, we measured the metabolic costs of both walking and seated arm…
David Degnan, Kevin Zemaitis, Logan Lewis, Lee Ann McCue + 5 more
Due to its speed, accuracy, and adaptability to various sample types, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has become a popular method to identify molecular isotope profiles from biological samples. Often MALDI-MS data does not include tandem MS fragmentation data, and thus the…
Wout Bittremieux, Mingxun Wang, Pieter C. Dorrestein
Background: Spectral library searching is currently the most common approach for compound annotation in untargeted metabolomics. Spectral libraries applicable to liquid chromatography mass spectrometry have grown in size over the past decade to include hundreds of thousands to millions of mass spectra and tens of…
Yuang Chen, C L Lu, Yongsheng Huang, Chang Wu + 3 more
'Hancheng Lu' 'Chang Wen Chen'] Abstract—The dispersed node locations and complex topologies of edge networks, combined with intricate dynamic microservice dependencies, render traditional centralized microservice architectures (MSAs) unsuitable. In this paper, we propose a decentralized microservice architecture…
Charlie Bayne, Brianna Hurysz, David J. Gonzalez, Anthony O’Donoghue
Multiplex Substrate Profiling by Mass Spectrometry (MSP-MS) is a powerful method for determining the substrate specificity of proteolytic enzymes, knowledge key for developing protease inhibitors, diagnostics, and protease-activated therapeutics. However, the complex datasets generated by MSP-MS pose significant…
Kyle C. Weber, Chenlin Lu, Roberto Vera Alvarez, Bruce D. Pascal + 1 more
Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensembles. The growing popularity and utility of HX-MS has driven the development of diverse instrumentation and software, resulting in inconsistent, non-standardized data analysis and…
Jongham Park, Ahrum Son, Hyunsoo Kim
The formation of protein networking is critical for understanding the biological functions of proteins and the underlying mechanisms of disease. To gain insights into target proteins that interact with a particular disease, we need to profiling all the proteins involved in the disease beforehand. However, the profiling…
Georg Wallmann, Andrew Leduc, Nikolai Slavov
Mass-spectrometry (MS) enables specific and accurate quantification of proteins with ever increasing throughput and sensitivity. Maximizing this potential of MS requires optimizing data acquisition parameters and performing efficient quality control for large datasets. To facilitate these objectives for data…
Authors not listed
Mass spectrometry-based natural products targeted discovery often relies on a complicated decision-making process involving tedious comparison of exact masses data and tandem mass spectra-based annotation tools output against various spectral reference libraries. To address this bottleneck, we present tandem mass…