Low- and High-Volume Disease in Metastatic Hormone-Sensitive Prostate Cancer: From CHAARTED to PSMA PET-An International Multicenter Retrospective Study.

High-volume disease (HVD) and low-volume disease (LVD) definitions in metastatic hormone-sensitive prostate cancer (mHSPC) patients are based on conventional imaging (CI) (CT/MRI with bone scan [BS]) according to CHAARTED criteria. HVD and LVD definitions are associated with overall survival and are used for treatment decisions. It remains unknown how these definitions transfer to prostate-specific membrane antigen (PSMA) PET imaging.

Historical and political context for Philip Morris International's continuing medical education courses on harm reduction.

In 2024, Philip Morris International's (PMI) website stated they support 'independent' continuing medical education courses on harm reduction for medical and other healthcare professionals. These courses mirrored industry marketing and political strategies by presenting smokeless tobacco products and e-cigarettes as alternatives to smoking, sometimes without mentioning tobacco cessation. The enactment of the US Family Smoking and Tobacco Control Act gave the US Food and Drug Agency jurisdiction over tobacco products and included the industry's 'continuum of risk' frame, and emboldened tobacco companies to make harm reduction claims about these products, which they had previously avoided for fear of triggering restrictive regulation of cigarettes.

Randomized Control Trial Evaluating Different Modalities of Real-Time Surgical Feedback.

Introduction:: Surgical training is a constant exchange between trainers and trainees, and intraoperative surgical feedback is an integral part of learning. New technologies in robotic surgery allow for the delivery of visual aid and verbal feedback intraoperatively, but it has not yet been determined if feedback type affects the trainee learning process.

Methods:: 49 novice participants were recruited and randomized into four feedback groups: , , of verbal/visual, and no feedback ().

Trends in Medical Students' Legal Concerns Regarding Abortion Care in the Wake of the 2022 Decision.

Objectives: The 2022 US Supreme Court decision dramatically shifted the legal landscape in health care, leaving state legislatures to redefine the ethics of medical practice. As gold-standard medical procedures become banned and criminalized, physicians are facing heightened legal uncertainty and grappling with moral dilemmas of where and how to practice. This study aimed to quantitatively assess trends in legal concern among medical students and identify correlations with decision making regarding future medical training.

The impact of risk compensation adaptive behavior on the final epidemic size.

Public health interventions reduce infection risk, while imposing significant costs on both individuals and the society. Interventions can also lead to behavioral changes, as individuals weigh the cost and benefits of avoiding infection. Aggregate epidemiological models typically focus on the population-level consequences of interventions, often not incorporating the mechanisms driving behavioral adaptations associated with interventions compliance.

Participant perspectives related to individual chemical exposure report-back approaches in three environmental health studies.

Returning results to participants of environmental exposure studies has become more common in recent years. Despite evidence of benefits for study participants, there are challenges in communicating results to people with limited resources or capacity to mitigate chemical exposures. We interviewed N=54 participants and compared exposure report-back conducted in 2010-2013 across three susceptible study populations: 1) low-income pregnant individuals in the Chemicals in Our Bodies (CIOB) study; 2) the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) cohort; and 3) early childhood educators (ECE).

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets.

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a step toward molecular subtype application in the clinic.

Molecular basis of proton sensing by G protein-coupled receptors.

Three proton-sensing G protein-coupled receptors (GPCRs)-GPR4, GPR65, and GPR68-respond to extracellular pH to regulate diverse physiology. How protons activate these receptors is poorly understood. We determined cryogenic-electron microscopy (cryo-EM) structures of each receptor to understand the spatial arrangement of proton-sensing residues.

Characterizing features affecting local ancestry inference performance in admixed populations.

In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR).

Effectiveness of non-invasive vagus nerve stimulation vs heart rate variability biofeedback interventions for chronic pain conditions: A systematic review.

Objectives: Autonomic regulation has been identified as a potential regulator of pain via vagal nerve mediation, assessed through heart rate variability (HRV). Non-invasive vagal nerve stimulation (nVNS) and heart rate variability biofeedback (HRVB) have been proposed to modulate pain. A limited number of studies compare nVNS and HRVB in persons with chronic pain conditions.

US state minimum wages and rates of maltreatment-related death among children.

Background: The number of U.S. deaths due to child maltreatment (abuse and neglect) has been increasing over several years.

Integrating crowdsourced data in the built environment studies: A systematic review.

The integration of crowdsourced data has become central to contemporary built environment studies, driven by the rapid growth in digital technologies and participatory approaches that characterize modern urbanism. Despite its potential, a systematic framework for its analysis remains underdeveloped. This review, conducted in accordance with the PRISMA protocol, examines the use of crowdsourced data in shaping the built environment, scrutinizing its applications, crowdsourcing techniques, methodologies, and comparison with other big data forms.

Historic smallpox vaccination and Mpox cross-reactive immunity: Evidence from healthcare workers with childhood and adulthood exposures.

In recent years, human mpox has made multiple resurges, prompting public health professionals to consider factors that lead to the increased risk for the reemergence of other orthopoxviruses. Due to the genetic similarity between orthopoxviruses, vaccinia vaccines used to prevent smallpox transmission are also indicated and have been used for mpox infection prevention and control. In this study, cross-reactive immunity for mpox was observed among individuals with self-reported history of smallpox vaccination.

Meeting summary: Global vaccine and immunization research forum, 2023.

At the 2023 Global Vaccine and Immunization Research Forum (GVIRF), researchers from around the world gathered in the Republic of Korea to discuss advances and opportunities in vaccines and immunization. Many stakeholders are applying the lessons of Covid-19 to future emergencies, by advancing early-stage development of prototype vaccines to accelerate response to the next emerging infectious disease, and by building regional vaccine research, development, and manufacturing capacity to speed equitable access to vaccines in the next emergency. Recent vaccine licensures include: respiratory syncytial virus vaccines, both for the elderly and to protect infants through maternal immunization; a new dengue virus vaccine; and licensure of Covid-19 vaccines previously marketed under emergency use authorizations.

Matched Guiding and Controlled Injection in Dark-Current-Free, 10-GeV-Class, Channel-Guided Laser-Plasma Accelerators.

We measure the high-intensity laser propagation throughout meter-scale, channel-guided laser-plasma accelerators by adjusting the length of the plasma channel on a shot-by-shot basis, showing high-quality guiding of 500 TW laser pulses over 30 cm in a hydrogen plasma of density n_{0}≈1×10^{17}  cm^{-3}. We observed transverse energy transport of higher-order modes in the first ≈12  cm of the plasma channel, followed by quasimatched propagation, and the gradual, dark-current-free depletion of laser energy to the wake. We quantify the laser-to-wake transfer efficiency limitations of currently available petawatt-class lasers and demonstrate via simulation how control over the laser mode can significantly improve beam parameters.

Giant Thermoelectric Response of Fluxons in Superconductors.

We investigate the thermoelectric response of an Abrikosov vortex in type-II superconductors in the deep quantum limit. We consider two thermoelectric geometries, a type-II superconductor-insulator-normal-metal (S-I-N) junction and a local scanning tunneling microscope (STM)-tip normal metal probe over the superconductor. We exploit the strong breaking of particle-hole symmetry in vortex-bound states at subgap energies within the superconducting vortex to realize a giant thermoelectric response in the presence of fluxons.

Curvature Dependence of Gravitational-Wave Tests of General Relativity.

High-energy extensions to general relativity modify the Einstein-Hilbert action with higher-order curvature corrections and theory-specific coupling constants. The order of these corrections imprints a universal curvature dependence on observations while the coupling constant controls the deviation strength. In this Letter, we leverage the theory-independent expectation that modifications to the action of a given order in spacetime curvature (Riemann tensor and contractions) lead to observational deviations that scale with the system length scale to a corresponding power.

Quantifying Memory in Spin Glasses.

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, enabled by simulations on the Janus II supercomputer, has opened the door to a quantitative analysis. We combine numerical simulations with comparable experiments to introduce two coefficients that quantify memory.

Bootstrap Principle for the Spectrum and Scattering of Strings.

We show that the Veneziano amplitude of string theory is the unique solution to an analytically solvable bootstrap problem. Uniqueness follows from two assumptions: faster than power-law falloff in high-energy scattering and the existence of some infinite sequence in momentum transfer at which higher-spin exchanges cancel. The string amplitude-including the mass spectrum-is an output of this bootstrap.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Generative Modeling of Nucleon-Nucleon Interactions.

Developing high-precision models of the nuclear force and propagating the associated uncertainties in quantum many-body calculations of nuclei and nuclear matter remain key challenges for ab initio nuclear theory. In this Letter, we demonstrate that generative machine learning models can construct novel instances of the nucleon-nucleon interaction when trained on existing potentials from the literature. In particular, we train the generative model on nucleon-nucleon potentials derived at second and third order in chiral effective field theory and at three different choices of the resolution scale.

Metallic Bonding in Close-Packed Structures: Structural Frustration from a Hidden Gauge Symmetry.

Based on its simple valence electron configuration, we may expect lithium to have straightforward physical properties that are easily explained. However, solid lithium, when cooled below 77 K, develops a complex structure that has been debated for decades. A close parallel is found in sodium below 36 K where the crystal structure still remains unresolved.

Photonic Quantum State Tomography Using Free Electrons.

The tomography of photonic quantum states is key in quantum optics, impacting quantum sensing, computing, and communication. Conventional detectors are limited in their temporal and spatial resolution, hampering high-rate quantum communication and local addressing of photonic circuits. Here, we propose to utilize free electron-photon interactions for quantum state tomography, introducing electron homodyne detection with potential for femtosecond-temporal and nanometer-spatial resolutions.

Enhancing Initial State Overlap through Orbital Optimization for Faster Molecular Electronic Ground-State Energy Estimation.

The phase estimation algorithm is crucial for computing the ground-state energy of a molecular electronic Hamiltonian on a quantum computer. Its efficiency depends on the overlap between the Hamiltonian's ground state and an initial state, which tends to decay exponentially with system size. We showcase a practical orbital optimization scheme to alleviate this issue.

Breaking the guidelines: how financial unawareness fuels guideline deviations and inefficient DVT diagnostics.

Objectives: To examine factors impacting diagnostic evaluation of suspected deep vein thrombosis (DVT) by analyzing the test ordering patterns and provider decision-making within a universal health coverage system in Hungary.

Methods: We analyzed test orders for suspected DVT between 2007 and 2020, and the financial framework influencing diagnostic practices. An anonymous survey was also conducted among Emergency Department physicians to explore factors influencing diagnostic decision-making.