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Which definitions for MRI sacroiliac joint lesions predict the diagnosis of early axial spondyloarthritis best? : A 2-year follow-up in the SPACE cohort

BACKGROUND: The Leiden group and the Assessment of Spondyloarthritis International Society (ASAS)-MRI study group have proposed definitions for structural (SL) and active (AL) lesions typical for axial spondyloarthritis (axSpA) on MRI of the sacroiliac joints (MRI-SIJ).OBJECTIVES: To analyse the predictive validity of proposed SL and AL MRI-SIJ definitions in early axSpA and compare proposed AL wi

Graph-based interactive data federation system for heterogeneous data retrieval and analytics

Given the increasing number of heterogeneous data stored in relational databases, file systems or cloud environment, it needs to be easily accessed and semantically connected for further data analytic. The potential of data federation is largely untapped, this paper presents an interactive data federation system (https://vimeo.com/319473546) by applying large-scale techniques including heterogeneo

Population-level genomic analysis of immunoglobulin loci variation in rhesus macaques reveals extensive germline diversity

Rhesus macaques (RMs) are a vital model for studying human disease and are invaluable to preclinical vaccine research, particularly for the study of broadly neutralizing antibody responses. Such studies require robust genetic resources for antibody-encoding genes within the immunoglobulin (IG) loci. The complexity of the IG loci has historically made them challenging to characterize accurately. To

Personalization for robust voice pathology detection in sound waves

Automatic voice pathology detection is promising for non-invasive screening and early intervention using sound signals. Nevertheless, existing methods are susceptible to covariate shifts due to background noises, human voice variations, and data selection biases leading to severe performance degradation in real-world scenarios. Hence, we propose a non-invasive framework that contrastively learns p

Self-diffusion measurements with chemical shift resolution in inhomogeneous magnetic fields

A methodology for chemical shift resolved molecular self-diffusion measurements in time-independent static and radiofrequency field gradients is demonstrated. Diffusion encoding is provided by a stimulated echo sequence with additional z-storage that allows for a change of diffusion time without affecting the relaxation weighting. The signal is acquired stroboscopically between the pulses of

Wet Chemistry Route to Li3InCl6: Microstructural Control Render High Ionic Conductivity and Enhanced All‐Solid‐State Battery Performance

Thanks to superionic conductivity and compatibility with >4 V cathodes, halide solid electrolytes (SEs) have elicited tremendous interest for application in all-solid-state lithium batteries (ASSLBs). Many compositions based on groups 3, 13, and divalent metals, and substituted stoichiometries have been explored, some displaying requisite properties, but the Li+ conductivity still falls shor

Carbon Mediated In Situ Cathode Interface Stabilization for High Rate and Highly Stable Operation of All‐Solid‐State Lithium Batteries

Interfacial stability issues at the cathode remain a bottleneck to developing durable and high-power all-solid-state lithium batteries (ASSLBs). In fact, the presence of conductive carbon in the cathode, necessary for high capacity and power capability, is believed to aggravate the stability woes. Thus, it is typically excluded from the cathode mix. Herein, employing a model functionalized ca

Self-adaptive privacy concern detection for user-generated content

To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real analysis output. The noise masks individual’s sensitive information contained in the dataset. However, determining the amount of noise is a key challenge, since too much noise will destroy data utility while too little noise will increase privacy risk. T

Averting H+‐Mediated Charge Storage Chemistry Stabilizes the High Output Voltage of LiMn2O4‐Based Aqueous Battery

H+ co-intercalation chemistry of the cathode is perceived to have damaging consequences on the low-rate and long-term cycling of aqueous zinc batteries, which is a critical hindrance to their promise for stationary storage applications. Herein, the thermodynamically competitive H+ storage chemistry of an attractive high-voltage cathode LiMn2O4 is revealed by employing operando and ex-situ anal

Carbothermal reduction-induced oxygen vacancies in spinel cathodes for high-performance aqueous zinc-ion batteries

Advancement of aqueous zinc-ion batteries (AZIBs) for practical application is limited due to the inferior performance of the existing cathode. Herein, we demonstrate rational design and synthesis of an oxygen vacancy-rich low-valent vanadium-based spinel cathode (OV-ZnV2O4) for the fabrication of high-performance AZIBs. ZnV2O4 having an urchin-like morphology with nanorods ∼19 nm in diameter i

First Observation and Mitigation of Ni-Leaching Mediated Degradation to Enhance Stability of Ni-rich Layered Cathodes in Solid-State Batteries

Cathode–solid electrolyte (SE) interfacial stability issues pose a significant challenge to stable and high-power operations of all-solid-state batteries, which promise greater energy density, thermal stability, and safety than the current liquid electrolyte-based Li-ion technology. For technologically important Ni-rich NMCs (LiNixMnyCozO2 or NMCxyz; x/y/z: Ni/Mn/Co stoichiometry) with sulfide

Global diversity and distribution of antibiotic resistance genes in human wastewater treatment systems

Antibiotic resistance poses a significant threat to human health, and wastewater treatment plants (WWTPs) are important reservoirs of antibiotic resistance genes (ARGs). Here, we analyze the antibiotic resistomes of 226 activated sludge samples from 142 WWTPs across six continents, using a consistent pipeline for sample collection, DNA sequencing and analysis. We find that ARGs are diverse and sim

Synthesis of half-sandwich ruthenium, iridium and rhodium complexes with chloroquinoline analogue ligands

Malaria är en av de mest livshotande infektionssjukdomarna i världen och drabbar miljontals människor varje år. Sjukdomen sprids genom bett från myggor och orsakas av parasiter från släktet Plasmodium som tar sig in i kroppen via blodet. Väl inne i kroppen angriper parasiten först levern, där den förökar sig, och sprider sig sedan vidare till blodet. Där infekterar parasiterna de röda blodkropparnMalaria is one of the most widespread and life-threatening infectious diseases in the world and is caused by parasites from the genus Plasmodium, transmitted to humans through mosquito bites. Despite great progress in the development of antimalarial drugs, the growing resistance to them, especially chloroquine, is a major problem. New drugs therefore need to be developed and chloroquine analogues

Individual Plant Species' Occurrences and Habitat Preferences Are Related to Variation in Community-Level Reflectance in Grasslands

Questions: Earth observation is an important tool in biological monitoring. Previous studies have shown that variation in grassland canopy reflectance can explain gradients in plant community composition. However, there is a need for methods that allow the interpretation of the overall spectral signal of complex grassland vegetation in terms of existing knowledge about individual species' habitat

Ammonia/methane flame interaction and NOx emission in a double-swirler burner

A double-swirler ammonia/methane co-flame burner was developed to enhance flame stability and reduce NOx emissions in ammonia combustion. In this system, a premixed ammonia/air mixture is introduced through the inner swirler, while a lean premixed methane/air flame from the outer swirler stabilizes the ammonia/air flame. Experimental results highlight that the Reynolds number of the outer methane/

Application of the LIF/Mie Technique to an Aeronautic Kerosene Jet A-1 Spray Injected under Relight Conditions

Certification process of an aircraft engine requires the engine to be able to relight under high-altitude conditions. This capability is strongly affected by the characteristics of the spray injected into the combustion chamber, by means of an aeronautical injection system. The understanding of the atomization process is a key factor in order to forecast the engine's relight capability. Among the

Light Transmission in Sprays Impacted by Multiple Light Scattering:Monte Carlo Simulation Assuming the ECN Spray G

In this study, Monte Carlo simulation of photon transport through sprays has been achieved using the online “Multi-Scattering” software. Such simulations were focused on evaluating the accuracy of light transmission measurement of four distinct methods using diffuse light illumination without filtering (1),collimated homogeneous laser beam without filtering (2), structured collimated laser beam wi

High-Speed Accelerometry of Atomizing Sprays using the FRAME concept

Capturing fast transient spray phenomena, such as droplet breakup and secondary atomization, requires both high temporal and spatial resolution over extended durations, which is difficult to achieve with existing imaging methods. Burst imaging on one hand offers ultra-high frame rates but for short windows in time, while conventional high-speed cameras extend duration but are currently unable to t