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Performance and safety of a novel, cable-free, patch-based, and AI-enhanced ECG monitoring system : A comparative study

Aims ECG monitoring is often required during critical phases of illness. To evaluate the role of modern technology and advanced analytical algorithms artificial intelligence compared with standard-of care, we undertook a prospective, head-to-head comparison of a novel, cable-free, patch-based, and AI-enhanced electrocardiography system (CardioSenseSystem) with standard of care (SOC) ECG monitoring

dpUGC : learn differentially private representation for user generated contents (best paper award, third place, shared)

This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-level approach to learn personalized differentially private word embedding model on user generated contents (UGC). To our best knowledge, this is the first work of learning user-level differentially private word embeddin

The association between the transition to parenthood and risk for nonfatal suicide attempt in a Swedish population-based sample

Background Parenthood is consistently identified as a protective factor for suicidal behavior. However, it remains unclear whether this relationship varies as a function of sex, age, time since birth, number of children, and other risk/protective factors. Methods We used Cox proportional hazards models to describe the relationship between the birth of up to four children and suicide attempt (SA) r

Following the structural changes of triolein films during lipolysis

A major challenge hampering the industrial and biological exploitation of lipases is the self-limiting effect of the lipolytic reaction. Defying sustained attention throughout history, the influence of lipase catalysed lipolysis on the internal structure of thin triglyceride films has proved elusive. An in-depth understanding of the lipolysis process at the triglycerides/aqueous interface will ass

Vacancy‐Engineered Vanadium Cathode for Fast‐Charging Aqueous Zinc Batteries of Ultra‐Long Cycle Life

Aqueous zinc-ion batteries have emerged as strong contenders for sustainable energy storage; however, their widespread adoption is constrained by sluggish Zn2+ transport and suboptimal cathode performance. A rapid, energy-efficient solvothermal synthesis of Na2V6O16 is reported, and introduces cation vacancies via initial electrochemical engineering. This electrochemical pre-treatment generate

Diffusion of water absorbed in cellulose fibers studied with 1H-NMR

The diffusion of water and the cross relaxation between water and cellulose in a hydrated paper system were followed with the Goldman-Shen and the pulsed-field-gradient stimulated-echo NMR pulse sequences as a function of moisture content. The diffusion coefficient measured along the plane of the paper sheet is very sensitive to the moisture content; more water leads to faster diffusion. The cress

ViGPTQA-state-of-the-art LLMs for vietnamese question answering : system overview, core models training, and evaluations

Large language models (LLMs) and their applications in low-resource languages (such as in Vietnamese) are limited due to lack of training data and benchmarking datasets. This paper introduces a practical real-world implementation of a question answering system for Vietnamese, called ViGPTQA, leveraging the power of LLM. Since there is no effective LLM in Vietnamese to date, we also propose, evalua

Brain metabolomics in an insect pollinator : Impacts of CO 2 and cold-induced anaesthesia alone and in combination with neonicotinoid exposure

Characterizing the effect of pesticides on pollinators is essential in the strive to protect biodiversity while maintaining efficient food production. Metabolomics offers detailed insight into the physiological response to pesticides. The impact of pre-dissection and dissection methodology on the metabolic response remains largely unknown, as does their possible effect on the measured metabolic re

Symptomatic SARS-CoV-2 breakthrough infections broaden the repertoire of Spike-reactive CD4 T cells

SARS-CoV-2 breakthrough infections (BTIs) are relatively common, but little is known in terms of differentiating responses associated with asymptomatic BTI (ABTI) versus symptomatic BTI (SBTI). Here, we investigated the impact of ABTI and SBTI on antibody and T-cell responses toward Spike. SBTI donors had significantly higher plasma anti-Spike RBD IgG titers compared to both ABTI and SARS-CoV-2 va

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