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We developed an algorithm for the early screening of autism spectrum disorder using baby cry sound. We collected the sound using a smartphone application to record it in their daily life. We employed the Japanese version of the Modified Checklist for Autism in Toddlers (M-CHAT) for the evaluation of the autism spectrum. We built a prediction model for binary classification using least absolute shr

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Archaeologists create vast amounts of specialized data, which are often difficult to access, maintain, and reuse, even for practitioners themselves. In this article, we explore the implication of professional practices of data production in fueling archaeonormativity—i.e., the naturalization of behaviors and structures in archaeology that strip it of affect and meaning and that deny human (and non

We explore whether SAM2, a vision foundation model, can be used for accurate localization of eye image features that are used in lab-based eye tracking: corneal reflections (CRs), the pupil, and the iris. We prompted SAM2 via a typical hand annotation process that consisted of clicking on the pupil, CR, iris and sclera for only one image per participant. SAM2 was found to support better spatial pr

CRISPR-mediated gene activation (CRISPRa) encompasses a growing field of biotechnological approaches with exciting implications for gene therapy. However, there is a lack of experimental validation tools for selecting efficient sgRNAs for downstream applications. Here, we present a screening assay capable of identifying efficient single- and double sgRNAs through fluorescence quantification in vit

Advances in super-resolution microscopy enable the molecular profiling of cells and tissues at the nanoscale level, surpassing the diffraction limit of conventional light microscopy. However, super-resolution techniques typically require access to expensive specialized equipment and extensive training, limiting their broad applicability. Here we provide a detailed protocol for combining expansion

The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the

Evolutionary changes in populations of microbes, such as microalgae, cannot be traced using conventional metabarcoding loci as they lack intraspecific resolution. Consequently, selection and competition processes among strains of the same species cannot be resolved without elaborate isolation, culturing, and genotyping efforts. Bamboozle, a new bioinformatic tool introduced here, scans the entire

How does new technology impact labor market outcomes? We address this question by examining the adoption of electricity in Sweden during the early 20th century. Leveraging detailed individual-level data that covers the entire labor market and exogenous variation in electricity access driven by proximity to hydro-power plants, we estimate the impact of electrification on individual labor market out

Sedimentary concentrations of redox-sensitive trace metals are widely used to reconstruct past ocean redox conditions. Vanadium (V) has great potential as a (paleo)redox proxy, due to its strong redox-dependent speciation (+III, +IV, +V) and the increased sedimentary sequestration of its more reduced species. The geochemistry of V in sulfide-rich marine environments is not yet well understood, how

Background/Objectives: Fertility-sparing surgery (FSS) is a standard practice for managing early stage cervical cancer, yet significant variation exists in clinical approaches worldwide. Our objective was to ascertain current practices and preferences for cerclage use among expert centers globally regarding FSS in patients with early stage cervical cancer. Methods: We conducted a cross-sectional s

Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights into these interactions, their computational cost is often prohibitive. At a recent Lorentz Center Workshop on “Machine Learning for Discrete Granular Media”, researchers explored how machine learning approaches can aid

This article introduces the pattern theory of immersivity (PTI), a practice-led theoretical framework stemming from the hypothesis that a reorientation of the understanding of immersive art is needed, away from technological sophistication or sensory excess and toward the psychological mechanisms underlying imaginative engagement, regardless of artform or combination of media. The theory posits th

This study investigates strategies for igniting hydrogen in compression ignition engines, a process traditionally hindered by hydrogen’s high ignition temperature. In conventional dual-fuel engines, a small diesel pilot is often used to ignite hydrogen, taking advantage of diesel’s lower ignition temperature to initiate combustion. While effective, this approach introduces carbon emissions, limiti

This paper examines the track record of private financial mechanisms aimed at funding conservation of biological diversity. It finds that, due to lack of rigorous and consistent benchmarks and monitoring, these investments may not necessarily safeguard biodiversity and could even, in some cases, have adverse impacts. Further, despite decades of attempts to draw private capital to biodiversity prot

The side-feeding patterns and the spectra of unresolved γ-lines are calculated for Gd, Dy and Er nuclei with neutron numbers from 82 to 86. Energies and configurations for states from the yrast line and approximately 2 MeV higher in energy are calculated as many-quasiparticle configurations in a deformed oblate potential. The γ-cascade is simulated by a Monte Carlo calculation. With a common avera