Probing quantum floating phases in Rydberg atom arrays.

The floating phase, a critical incommensurate phase, has been theoretically predicted as a potential intermediate phase between crystalline ordered and disordered phases. In this study, we investigate the different quantum phases that arise in ladder arrays comprising up to 92 neutral-atom qubits and experimentally observe the emergence of the quantum floating phase. We analyze the site-resolved Rydberg state densities and the distribution of state occurrences.

Effective adaptation of flight muscles to tebuconazole-induced oxidative stress in honey bees.

The widespread and excessive agricultural use of azole fungicide tebuconazole poses a major threat to pollinator species including honey bee colonies as highlighted by recent studies. This issue is of growing importance, due to the intensification of modern agriculture and the increasing amount of the applied chemicals, serving as a major and recent problem from both an ecotoxicological and an agricultural point of view. The present study aims to detect the effects of acute sublethal tebuconazole exposure focusing on the redox homeostasis of honey bee flight muscles.

Effective data visualization strategies in untargeted metabolomics.

Covering: 2014 to 2023 for metabolomics, 2002 to 2023 for information visualizationLC-MS/MS-based untargeted metabolomics is a rapidly developing research field spawning increasing numbers of computational metabolomics tools assisting researchers with their complex data processing, analysis, and interpretation tasks. In this article, we review the entire untargeted metabolomics workflow from the perspective of information visualization, visual analytics and visual data integration. Data visualization is a crucial step at every stage of the metabolomics workflow, where it provides core components of data inspection, evaluation, and sharing capabilities.

COVID-19 Pandemic-Related Stressors, Distress, and Bodily Pain in Native Americans: Results from the Oklahoma Study of Native American Pain Risk.

The COVID-19 pandemic disproportionately impacted minoritized individuals. This study examined the relationships between pandemic-related stressors/distress and bodily pain in 79 Native American (NA) and 101 non-Hispanic White (NHW) participants from the Oklahoma Study of Native American Pain Risk. Online surveys were administered in May/June 2020 (wave 1), March/April 2021 (wave 2), and Sept/Oct 2021 (wave 3).

Contemporary Single-Center Experience of Complete Aortic Arch Replacement Employing the Frozen Elephant Trunk Technique in Patients with Extensive Aortic Disease.

This study aimed to examine contemporary results of the frozen elephant trunk (FET) procedure in an all-comers patient cohort. Between January 2017 and May 2024, a total of 132 consecutive patients with either aortic aneurysm ( = 32), acute aortic dissection ( = 32), or chronic aortic dissection ( = 68) underwent total aortic arch replacement employing the FET technique. In-hospital data were collected prospectively and included preoperative characteristics, intraoperative data, and follow-up results.

MassSpecGym: A benchmark for the discovery and identification of molecules.

The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throughput elucidation of molecular structures. However, decoding a molecular structure from its mass spectrum is exceptionally challenging, even when performed by human experts.

Control of Surface Plasmon Propagation and Terahertz Near-Field Waveforms in a Scanning Tunneling Microscope.

Coupling subcycle THz pulses to a scanning tunneling microscope (STM) enables ultrafast spectroscopy at the atomic scale. This technique critically depends on the shape of the THz near-field waveform in the tunnel junction. We characterize the THz electric field waveform in the STM junction by electro-optic sampling of tip-scattered THz light (-EOS) and pulse correlation using the THz-induced current.

Tickling induces a unique type of spontaneous laughter.

Laughing is ubiquitous in human life, yet what causes it and how it sounds is highly variable. Considering this diversity, we sought to test whether there are fundamentally different kinds of laughter. Here, we sampled spontaneous laughs ( = 887) from a wide range of everyday situations (e.

Unraveling the acute sublethal effects of acetamiprid on honey bee neurological redox equilibrium.

Understanding the off-target effects of neonicotinoid insecticides, including acetamiprid, which is the most commonly applied agricultural chemical, is crucial as it may be an important factor of negative impact on pollinator insects causing a number of problems such as colony collapse disorder (CCD) of honey bees. While CCD is known as a multifactorial disease, the role of pesticides in this context is not negligible. Therefore, it is essential to gain a deeper comprehension of the mechanisms through which they function.

Haves and have-nots: socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain.

Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, experiencing more severe pain, and suffering greater pain-related disability. However, SEP is a multidimensional construct; there is a dearth of research on which SEP features are most strongly associated with high-impact chronic pain, the relative importance of SEP predictive features compared to established chronic pain correlates, and whether the relative importance of SEP predictive features differs by race and sex. This study used 3 machine learning algorithms to address these questions among adults in the 2019 National Health Interview Survey.

A comprehensive proteogenomic pipeline for neoantigen discovery to advance personalized cancer immunotherapy.

The accurate identification and prioritization of antigenic peptides is crucial for the development of personalized cancer immunotherapies. Publicly available pipelines to predict clinical neoantigens do not allow direct integration of mass spectrometry immunopeptidomics data, which can uncover antigenic peptides derived from various canonical and noncanonical sources. To address this, we present an end-to-end clinical proteogenomic pipeline, called NeoDisc, that combines state-of-the-art publicly available and in-house software for immunopeptidomics, genomics and transcriptomics with in silico tools for the identification, prediction and prioritization of tumor-specific and immunogenic antigens from multiple sources, including neoantigens, viral antigens, high-confidence tumor-specific antigens and tumor-specific noncanonical antigens.

Changes in pancreatic steatosis by computed tomography 24 months after sleeve gastrectomy in youth with severe obesity.

Background: Pancreatic steatosis has been associated with obesity and the metabolic syndrome. Studies in adults have demonstrated improvement in pancreatic steatosis following sleeve gastrectomy (SG) with concomitant improvement in glucose homeostasis.

Objectives: To examine changes in pancreatic steatosis in youth with severe obesity 24 months following SG.

The Relationship Between Neighborhood Disadvantage and Markers of Chronic Pain Risk: Findings From the Oklahoma Study of Native American Pain Risk (OK-SNAP).

Socioeconomic disadvantage contributes to health inequities, including chronic pain. Yet, research examining socioeconomic disadvantage and pain risk in Native Americans (NAs) is scant. This exploratory analysis assessed relationships between socioeconomic position (SEP), ethnicity, and neighborhood disadvantage on pronociceptive processes in 272 healthy, chronic pain-free NAs (n = 139) and non-Hispanic Whites (NHWs, n = 133) from the Oklahoma Study of Native American Pain Risk (OK-SNAP).

Predicting Antigen-Specificities of Orphan T Cell Receptors from Cancer Patients with TCRpcDist.

Approaches to analyze and cluster T-cell receptor (TCR) repertoires to reflect antigen specificity are critical for the diagnosis and prognosis of immune-related diseases and the development of personalized therapies. Sequence-based approaches showed success but remain restrictive, especially when the amount of experimental data used for the training is scarce. Structure-based approaches which represent powerful alternatives, notably to optimize TCRs affinity toward specific epitopes, show limitations for large-scale predictions.

Reproducible MS/MS library cleaning pipeline in matchms.

Mass spectral libraries have proven to be essential for mass spectrum annotation, both for library matching and training new machine learning algorithms. A key step in training machine learning models is the availability of high-quality training data. Public libraries of mass spectrometry data that are open to user submission often suffer from limited metadata curation and harmonization.

Uncertainty Relations from State Polynomial Optimization.

Uncertainty relations are a fundamental feature of quantum mechanics. How can these relations be found systematically? Here, we develop a semidefinite programming hierarchy for additive uncertainty relations in the variances of noncommuting observables. Our hierarchy is built on the state polynomial optimization framework, also known as scalar extension.

Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods.

Time-varying parameter (TVP) regression models can involve a huge number of coefficients. Careful prior elicitation is required to yield sensible posterior and predictive inferences. In addition, the computational demands of Markov Chain Monte Carlo (MCMC) methods mean their use is limited to the case where the number of predictors is not too large.

Antibody-dye Conjugates Targeting EGFR and HER2 for the Photoimmunotherapy of Bladder Cancer.

Background/aim: Although there are curative treatment options for non-muscle-invasive bladder cancer, the recurrence of this tumor is high. Therefore, novel targeted therapies are needed for the complete removal of bladder cancer cells in stages of localized disease, in order to avoid local recurrence, to spare bladder cancer patients from stressful and expensive treatment procedures and to increase their quality of life and life expectancy. This study tested a new approach for the photoimmunotherapy (PIT) of bladder cancer.