CRISPR-Cas spacer acquisition is a rare event in human gut microbiome.

Host-parasite relationships drive the evolution of both parties. In microbe-phage dynamics, CRISPR functions as an adaptive defense mechanism, updating immunity via spacer acquisition. Here, we investigated these interactions within the human gut microbiome, uncovering low frequencies of spacer acquisition at an average rate of one spacer every ∼2.

Unraveling Serial Degradation Pathways of Supported Catalysts through Reliable Electrochemical Liquid-Cell TEM Analysis.

Electrochemical liquid-cell transmission electron microscopy (e-LCTEM) offers great potential for investigating the structural dynamics of nanomaterials during electrochemical reactions. However, challenges arise from the difficulty in achieving the optimal electrolyte thickness, leading to inconsistent electrochemical responses and limited spatial resolution. In this study, we present advanced e-LCTEM techniques tailored for tracking Pt/C degradation under electrochemical polarization at short intervals with high spatial resolution.

Re-evaluation of the -Glucosyltransferase IroB Illuminates Its Ability to -Glucosylate Non-native Triscatecholate Enterobactin Mimics.

The pathogen-associated -glucosyltransferase IroB is involved in the biosynthesis of salmochelins, -glucosylated derivatives of enterobactin (Ent), which is a triscatecholate siderophore of enteric bacteria including and . Here, we reassess the ability of IroB to -glucosylate non-native triscatecholate mimics of Ent, which may have utility in the design and development of siderophore-based therapeutics and diagnostics. We establish TRENCAM (TC) and MECAM (MC), synthetic Ent analogs with tris(2-aminoethyl)amine- or mesitylene-derived backbones replacing the trilactone core of Ent, respectively, and their monoglucosylated congeners as substrates of IroB.

Estimation of the spatial variability of the New England Mud Patch geoacoustic properties using a distributed array of hydrophones and deep learninga).

This article presents a spatial environmental inversion scheme using broadband impulse signals with deep learning (DL) to model a single spatially-varying sediment layer over a fixed basement. The method is applied to data from the Seabed Characterization Experiment 2022 (SBCEX22) in the New England Mud-Patch (NEMP). Signal Underwater Sound (SUS) explosive charges generated impulsive signals recorded by a distributed array of bottom-moored hydrophones.

Do Languages Have Exclusive Disjunctions?

Most natural languages have more than one linguistic form available to express disjunction. One of these forms is often reported by native speakers to be more exclusive than the other(s) and, in recent years, it has been claimed that some languages may in fact have dedicated exclusive disjunctions. In this paper, we report on a series of experiments testing this claim across five languages of primary interest.

Emissions of HFC-23 do not reflect commitments made under the Kigali Amendment.

HFC-23 (trifluoromethane) is a potent greenhouse gas released to the atmosphere primarily as a by-product of HCFC-22 (chlorodifluoromethane) synthesis. Since 2020, the Kigali Amendment to the Montreal Protocol has required Parties to destroy their HFC-23 emissions to the extent possible. Here, we present updated HFC-23 emissions estimated from atmospheric observations.

Evaluating carbon removal: Integrating technical potential with environmental, social, governance criteria, and sequestration permanence.

Climate modeling suggests that achieving international climate goals requires a reduction in current CO emissions by over 90%, with any remaining emissions to be addressed through carbon dioxide removal (CDR) solutions. Sixteen CDR strategies are evaluated by integrating technical potential, environmental, social, and governance (ESG) criteria, along with sequestration permanence. This evaluation, conducted by ENGIE's scientific council using an interdisciplinary Delphi panel methodology, proposes a "quality" measure for each technology.

State-wise variation and inequalities in caesarean delivery rates in India: analysis of the National Family Health Survey-5 (2019-2021) data.

Background: India's caesarean delivery (CD) rate of 21.5% suggests adequate national access to CD but may mask significant disparities. We examined variation in CD rates across states (geography), wealth, and health care sector (public versus private).

Uncovering Patterns in Overdose Deaths: An Analysis of Spike Identification in Fatal Drug Overdose Data in Massachusetts, 2017-2023.

Objectives: Yearly rolling aggregate trends or rates are commonly used to analyze trends in overdose deaths, but focusing on long-term trends can obscure short-term fluctuations (eg, daily spikes). We analyzed data on spikes in daily fatal overdoses and how various spike detection thresholds influence the identification of spikes.

Materials And Methods: We used a spike detection algorithm to identify spikes among 16 660 drug-related overdose deaths (from any drug) reported in Massachusetts' vital statistics from 2017 through 2023.

Reprogramming macrophages to treat liver diseases.

Cutting-edge research has expanded our understanding of the macrophage activation programs in liver diseases making this immune cell type a therapeutic target. Clinical data on macrophage infiltration and polarization states have been used to help predict mortality or poor prognosis in patients with liver cirrhosis and/or HCC. The latest single-cell and spatial transcriptomics studies have dissected unforeseen aspects depicting the immense heterogeneity of macrophages and their multifaceted role in both promoting and resolving hepatic inflammation, injury, and fibrosis.

The Challenges and Opportunities in Pediatric Medical Device Innovation: Monitoring Devices.

Background: Medical device innovation and development for pediatric care lags behind that of adults. With higher technical risks, challenges in accumulating data, smaller market sizes, and limited return on investment, there is less incentive for pediatric device development. Consequently, translation of medical devices specifically designed to improve pediatric care is limited.

Impact of Anemia on Clinical Outcomes in Atrial Fibrillation Patients on Oral Anticoagulants: A Prognostic Meta-Analysis.

Background: Anemia is frequently observed as a comorbidity in atrial fibrillation (AF), especially in elderly patients and in those on anticoagulation. This has been associated with poor clinical outcomes. We aim to investigate the impact of anemia on clinical outcomes in patients with AF on oral anticoagulation.

Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV).

Background: Heart failure (HF) and atrial fibrillation (AF) usually coexist and are associated with a poorer prognosis. This study aimed to develop a model to predict in-hospital mortality in patients with HF combined with AF.

Methods: Patients with HF and AF were obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database from 2008 to 2019.

Association between alcohol use disorder and the incidence of delirium in the intensive care unit: a retrospective cohort study using propensity score matching.

Background: Although alcohol consumption is considered one of the risk factors for delirium in intensive care unit (ICU) patients, quantitative research on the association between alcohol use disorder (AUD) and the development of delirium in the ICU remains relatively scarce.

Methods: This retrospective cohort study was conducted using the Medical Information Mart for Intensive Care-IV database, including all patients admitted to the ICU for the first time and underwent delirium assessment. Patients were divided into AUD and non-AUD groups, with the primary outcome being the occurrence of ICU delirium.

Decreased in-hospital mortality in shock patients with rheumatoid arthritis compared to those without: a retrospective analysis of a critical care database.

Inflammatory response is a natural protective response in infection or injury. The immune imbalance of rheumatoid arthritis (RA) patients and the use of anti-rheumatic immune drugs may affect the inflammatory response process of shock. The evidence of the impact of RA on short-time mortality in shock patients is limited.

Behaviour-based dependency networks between places shape urban economic resilience.

Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities.

Aberrant homeodomain-DNA cooperative dimerization underlies distinct developmental defects in two dominant retinopathy models.

Paired-class homeodomain transcription factors (HD TFs) play essential roles in vertebrate development, and their mutations are linked to human diseases. One unique feature of paired-class HD is cooperative dimerization on specific palindrome DNA sequences. Yet, the functional significance of HD cooperative dimerization in animal development and its dysregulation in diseases remain elusive.

Precarious employment, strenuous working conditions and the long-term risk of diagnosed chronic musculoskeletal disorders.

Objectives: To investigate the effect of precarious employment (PE) on the risk of diagnosed chronic musculoskeletal disorders (MSDs) among Swedish workers in occupations with strenuous working conditions.

Methods: This nationwide register-based cohort study included workers registered as living in Sweden in 2005, aged 21-60 at the 2010 baseline. Three samples were included: workers with high biomechanical workload (n=680 841), repetitive work (n=659 422) or low job control (n=703 645).

Force-Activated Spin-Crossover in Fe and Co Transition Metal Mechanophores.

Transition metal mechanophores exhibiting force-activated spin-crossover are attractive design targets, yet large-scale discovery of them has not been pursued due in large part to the time-consuming nature of trial-and-error experiments. Instead, we leverage density functional theory (DFT) and external force explicitly included (EFEI) modeling to study a set of 395 feasible Fe and Co mechanophore candidates with tridentate ligands that we curate from the Cambridge Structural Database. Among nitrogen-coordinating low-spin complexes, we observe the prevalence of spin crossover at moderate force, and we identify 155 Fe and Co spin-crossover mechanophores and derive their threshold force for low-spin to high-spin transition ().

Home Visits and the Use of Routine and Emergency Postpartum Care Among Low-Income People: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Access to appropriate postpartum care is essential for improving maternal health outcomes and promoting maternal health equity.

Objective: To analyze the impact of the Nurse-Family Partnership (NFP) home visiting program on use of routine and emergency postpartum care.

Design, Setting, And Participants: This study was a secondary analysis of a randomized clinical trial that enrolled eligible participants between 2016 and 2020 to receive NFP or usual care from a South Carolina Medicaid program.

Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.

Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.

Purpose: To develop an expert consensus document on best research practices and methodological priorities for emergency/trauma radiology AI.

Methods: A Delphi consensus exercise was conducted by the ASER AI/ML expert panel between 2022-2024.

Direct Observation of a Photoinduced Topological Phase Transition in Bi-Doped (Pb,Sn)Se.

Ultrafast photoexcitation offers a novel approach to manipulating quantum materials. One of the long-standing goals in this field is to achieve optical control over topological properties. However, the impact on their electronic structures, which host gapless surface states, has yet to be directly observed.

Nonperturbative Effects in Energy Correlators: From Characterizing Confinement Transition to Improving α_{s} Extraction.

Energy correlators provide a powerful observable to study fragmentation dynamics in QCD. We demonstrate that the leading nonperturbative corrections for projected N-point energy correlators are described by the same universal parameter for any N, which has already been determined from other event shape fits. Including renormalon-free nonperturbative corrections substantially improves theoretical predictions of energy correlators, notably the transition into the confining region at small angles.

Optimized Trajectory Unraveling for Classical Simulation of Noisy Quantum Dynamics.

The dynamics of open quantum systems can be simulated by unraveling it into an ensemble of pure state trajectories undergoing nonunitary monitored evolution, which has recently been shown to undergo measurement-induced entanglement phase transition. Here, we show that, for an arbitrary decoherence channel, one can optimize the unraveling scheme to lower the threshold for entanglement phase transition, thereby enabling efficient classical simulation of the open dynamics for a broader range of decoherence rates. Taking noisy random unitary circuits as a paradigmatic example, we analytically derive the optimum unraveling basis that on average minimizes the threshold.

Entanglement-Enabled Advantage for Learning a Bosonic Random Displacement Channel.

We show that quantum entanglement can provide an exponential advantage in learning properties of a bosonic continuous-variable (CV) system. The task we consider is estimating a probabilistic mixture of displacement operators acting on n bosonic modes, called a random displacement channel. We prove that if the n modes are not entangled with an ancillary quantum memory, then the channel must be sampled a number of times exponential in n in order to estimate its characteristic function to reasonable precision; this lower bound on sample complexity applies even if the channel inputs and measurements performed on channel outputs are chosen adaptively or have unrestricted energy.