Biofilm dispersal patterns revealed using far-red fluorogenic probes.

Bacteria frequently colonize niches by forming multicellular communities called biofilms. To explore new territories, cells exit biofilms through an active process called dispersal. Biofilm dispersal is essential for bacteria to spread between infection sites, yet how the process is executed at the single-cell level remains mysterious due to the limitations of traditional fluorescent proteins, which lose functionality in large, oxygen-deprived biofilms.

Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine.

The rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) in medicine has prompted medical professionals to increasingly familiarize themselves with related topics. This also demands grasping the underlying statistical principles that govern their design, validation, and reproducibility. Uniquely, the practice of pathology and medicine produces vast amount of data that can be exploited by AI/ML.

Stacked Rayleigh-Taylor Instabilities Grow Drops into Soft Stalactitelike Structures.

The interplay between thin film hydrodynamics and solidification produces formidably intricate geophysical structures, such as stalactites and icicles, whose shape is a testimony of their long growth. In simpler settings, liquid films can also produce regular patterns. When coated on the underside of a flat plate, these films are unstable and yield lattices of drops following the Rayleigh-Taylor instability.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

The evolutionary cost of homophily: Social stratification facilitates stable variant coexistence and increased rates of evolution in host-associated pathogens.

Coexistence of multiple strains of a pathogen in a host population can present significant challenges to vaccine development or treatment efficacy. Here we discuss a novel mechanism that can increase rates of long-lived strain polymorphism, rooted in the presence of social structure in a host population. We show that social preference of interaction, in conjunction with differences in immunity between host subgroups, can exert varying selection pressure on pathogen strains, creating a balancing mechanism that supports stable viral coexistence, independent of other known mechanisms.

Competition for resources can reshape the evolutionary properties of spatial structure.

Many evolving ecosystems have spatial structures that can be conceptualized as networks, with nodes representing individuals or homogeneous subpopulations and links the patterns of spread between them. Prior models of evolution on networks do not take ecological niche differences and eco-evolutionary interplay into account. Here, we combine a resource competition model with evolutionary graph theory to study how heterogeneous topological structure shapes evolutionary dynamics under global frequency-dependent ecological interactions.

Control when confidence is costly.

We develop a version of stochastic control that accounts for computational costs of inference. Past studies identified efficient coding without control, or efficient control that neglects the cost of synthesizing information. Here we combine these concepts into a framework where agents rationally approximate inference for efficient control.

TomoPicker: Annotation-Efficient Particle Picking in cryo-electron Tomograms.

Particle picking in cryo-electron tomograms (cryo-ET) is crucial for in situ structure detection of macromolecules and protein complexes. The traditional template-matching-based approaches for particle picking suffer from template-specific biases and have low throughput. Given these problems, learning-based solutions are necessary for particle picking.

The Effects of Microplastics on Musculoskeletal Disorder; A Narrative Review.

Purpose Of Review: The physical health impacts of microplastics have received increasing attention in recent years. However, limited data impedes a full understanding of the internal exposure to microplastics, especially concerning the musculoskeletal system. The purpose of this review is to summarize the recent literature regarding the effects of microplastics on the musculoskeletal system.

Investigating a visceral measure of perceived physical attractiveness.

Perceptions of physical attractiveness are typically assessed using numeric rating scales. As with other visceral experiences, perceptions of physical attractiveness may benefit from multimodal measurement. Recently, we developed and validated a squeeze (dynamometer) method to evaluate two "visceral" states (hunger and cigarette craving).

Mindfulness training fosters a positive outlook during acute stress: A randomized controlled trial.

The tendency to maintain a positive outlook during adversity associates with better health. Interventions that help people cope with stress by maintaining a positive perspective have potential to improve health. Mindfulness interventions show promise for enhancing positive affect in daily life, and developing acceptance toward momentary experiences may help people notice more positive experiences under stress.

Surface-modified CMOS biosensors.

Biosensors translate biological events into electronic signals that quantify biological processes. They are increasingly used in diagnostics applications that leverage their ability to process small sample volumes. One recent trend has been to integrate biosensors with complementary metal-oxide-semiconductor (CMOS) chips to provide enhanced miniaturization, parallel sensing, and low power consumption at a low cost.

Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut.

In this paper, we consider two fundamental cut approximation problems on large graphs. We prove new lower bounds for both problems that are optimal up to logarithmic factors. The first problem is to approximate cuts in balanced directed graphs.

The reanimation of pseudoscience in machine learning and its ethical repercussions.

The present perspective outlines how epistemically baseless and ethically pernicious paradigms are recycled back into the scientific literature via machine learning (ML) and explores connections between these two dimensions of failure. We hold up the renewed emergence of physiognomic methods, facilitated by ML, as a case study in the harmful repercussions of ML-laundered junk science. A summary and analysis of several such studies is delivered, with attention to the means by which unsound research lends itself to social harms.

Fixation alters the physical properties of tumor tissue that regulate nanomedicine transport.

To have the desired therapeutic effect, nanomedicines and macromolecular medications must move from the site of injection to the site of action, without having adverse effects. Transvascular transport is a critical step of this navigation, as exemplified by the Enhanced Permeability and Retention (EPR) effect in solid tumors, not found in normal organs. Numerous studies have concluded that passive, diffusion- and convection-based transport predominates over active, cellular mechanisms in this effect.

A continuous pursuit dataset for online deep learning-based EEG brain-computer interface.

This dataset is from an EEG brain-computer interface (BCI) study investigating the use of deep learning (DL) for online continuous pursuit (CP) BCI. In this task, subjects use Motor Imagery (MI) to control a cursor to follow a randomly moving target, instead of a single stationary target used in other traditional BCI tasks. DL methods have recently achieved promising performance in traditional BCI tasks, but most studies investigate offline data analysis using DL algorithms.

Similar but Distinct Comorbidity Patterns Between Polycystic Ovary Syndrome and Endometriosis in Korean Women: A Nationwide Cohort Study.

Background: Polycystic ovary syndrome (PCOS) and endometriosis are widely recognized as significant risk factors affecting the reproductive health of women. The underlying mechanisms impacting fertility may vary, potentially leading to divergent outcomes. We aimed to examine and contrast the prevalence patterns of diseases coexisting with PCOS and endometriosis, using a large-scale nationwide insurance claims data from Asian women of reproductive age.

Algae-Derived Nacre-like Dielectric Bionanocomposite with High Loading Hexagonal Boron Nitride for Green Electronics.

The surging demand for electronics is causing detrimental environmental consequences through massive electronic waste production. Urgently shifting toward renewable and eco-friendly materials is crucial for fostering a green circular economy. Herein, we develop a multifunctional bionanocomposite using an algae-derived carbohydrate biopolymer (alginate) and boron nitride nanosheet (BNNS) that can be readily employed as a multifunctional dielectric material.

Transcranial focused ultrasound remotely modulates extrastriate visual cortex by stimulating frontal eye field with subregion specificity.

Low-intensity transcranial focused ultrasound (tFUS) has emerged as a powerful neuromodulation tool characterized by its deep penetration and precise spatial targeting to influence neural activity. Our study directed low-intensity tFUS stimulation onto a region of prefrontal cortex (the frontal eye field, or FEF) of a rhesus macaque to examine its impact on a remote site, the extrastriate visual cortex (area V4) through this top-down modulatory circuit that has been studied extensively with electrical microstimulation.To measure the impact of tFUS stimulation, we recorded local field potentials and multi-unit spiking activities from a multi-electrode array implanted in the visual cortex.

Testing for reviewer anchoring in peer review: A randomized controlled trial.

Objective: Peer review frequently follows a process where reviewers first provide initial reviews, authors respond to these reviews, then reviewers update their reviews based on the authors' response. There is mixed evidence regarding whether this process is useful, including frequent anecdotal complaints that reviewers insufficiently update their scores. In this study, we aim to investigate whether reviewers anchor to their original scores when updating their reviews, which serves as a potential explanation for the lack of updates in reviewer scores.

Data-driven AI system for learning how to run transcript assemblers.

We introduce AutoTuneX, a data-driven, AI system designed to automatically predict optimal parameters for transcript assemblers - tools for reconstructing expressed transcripts from the reads in a given RNA-seq sample. AutoTuneX is built by learning parameter knowledge from existing RNA-seq samples and transferring this knowledge to unseen samples. On 1588 human RNA-seq samples tested with two transcript assemblers, AutoTuneX predicts parameters that resulted in 98% of samples achieving more accurate transcript assembly compared to using default parameter settings, with some samples experiencing up to a 600% improvement in AUC.

CytoSpatio: Learning cell type spatial relationships using multirange, multitype point process models.

Recent advances in multiplexed fluorescence imaging have provided new opportunities for deciphering the complex spatial relationships among various cell types across diverse tissues. We introduce CytoSpatio, open-source software that constructs generative, multirange, and multitype point process models that capture interactions among multiple cell types at various distances simultaneously. On analyzing five cell types across five tissues, our software showed consistent spatial relationships within the same tissue type, with certain cell types like proliferating T cells consistently clustering across tissue types.

Parents spontaneously scaffold the formation of conversational pacts with their children.

Adults readily coordinate on temporary pacts about how to refer to things in conversation. Young children are also capable of forming pacts with peers given appropriate experimenter intervention. Here, we investigate whether parents may spontaneously provide a similar kind of scaffolding with U.

Leveraging nanoparticle environmental health and safety research in the study of micro- and nano-plastics.

Lessons learned, methodologies, and application of tools that have been developed within the context of research on the environmental impacts, health, and safety of nanomaterials (nano-EHS) provide a solid foundation for research on nano/microplastics. In this communication, we summarize key discoveries obtained through major research efforts over the last two decades in the area of nano-EHS that are applicable for the study of micro- and nano-plastics (referred to here more generally as particulate plastics). We focus on how non-equilibrium particle transport processes affect: 1) bio-physico-chemical mechanisms of particle toxicity and determining dose-response relationships; 2) the potential for biouptake, bioaccumulation, translocation, trophic transfer and intergenerational effects of particulate contaminants; 3) extrapolations from laboratory experiments to complex systems and the impact of environmental transformations; 4) the formulation of functional assays as a basis for predicting the impacts of particulate contaminants in complex environments; 5) the relative importance of incidental particles compared with engineered particles and, 6) experience with data platforms, curation, and experimental design.