98%
921
2 minutes
20
The 2-week, virtual Future of the Search for Life science and engineering workshop brought together more than 100 scientists, engineers, and technologists in March and April 2022 to provide their expert opinion on the interconnections between life-detection science and technology. Participants identified the advances in measurement and sampling technologies they believed to be necessary to perform searches for life elsewhere in our Solar System, 20 years or more in the future. Among suggested measurements for these searches, those pertaining to three potential indicators of life termed "dynamic disequilibrium," "catalysis," and "informational polymers" were identified as particularly promising avenues for further exploration. For these three indicators, small breakout groups of participants identified measurement needs and knowledge gaps, along with corresponding constraints on sample handling (acquisition and processing) approaches for a variety of environments on Enceladus, Europa, Mars, and Titan. Despite the diversity of these environments, sample processing approaches all tend to be more complex than those that have been implemented on missions or envisioned for mission concepts to date. The approaches considered by workshop breakout groups progress from nondestructive to destructive measurement techniques, and most involve the need for fluid (especially liquid) sample processing. Sample processing needs were identified as technology gaps. These gaps include technology and associated sampling strategies that allow the preservation of the thermal, mechanical, and chemical integrity of the samples upon acquisition; and to optimize the sample information obtained by operating suites of instruments on common samples. Crucially, the interplay between science-driven life-detection strategies and their technological implementation highlights the need for an unprecedented level of payload integration and extensive collaboration between scientists and engineers, starting from concept formulation through mission deployment of life-detection instruments and sample processing systems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1089/ast.2022.0158 | DOI Listing |
J Phys Chem B
September 2025
Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India.
Understanding the evaporation mechanism of liquid ethanol and ethanol-water binary mixtures is important for numerous scientific and industrial processes. The amount of water in liquid water-ethanol mixtures can significantly affect how quickly ethanol molecules evaporate. Here, we study the mechanism and rate of evaporation of ethanol from pure liquid ethanol and ethanol/water binary mixtures through both unbiased molecular dynamics simulations and biased simulations using the umbrella sampling method.
View Article and Find Full Text PDFCien Saude Colet
August 2025
School of Public Health, Harvard University. Boston Estados Unidos.
In this multicenter, cross-sectional and quantitative study we evaluated the influence of urban violence and COVID-19 on the work process and team rapport of community health workers (CHWs) in eight municipalities of Northeastern Brazil. The collected information covered sociodemographics, work routines, exposure to violence, self-efficacy and coronavirus anxiety. A logistic regression was performed using as outcome variable the answer to the question: "Do you think your team work process changed during the pandemic?" The sample included 1,944 CHWs, of whom 56.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, CHART Laboratory, University of Nottingham, Nottingham, United Kingdom.
Background And Objective: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CBAM) with ResNet50 architecture and advanced deep feature engineering (DFE) techniques for automated, objective sperm morphology classification.
View Article and Find Full Text PDFPLoS One
September 2025
Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, University Sains Malaysia, Penang, Malaysia.
Background: Ensuring the safety of medications is a significant public health priority, with developed countries implementing robust pharmacovigilance programs. Despite this, healthcare providers continue to underreport adverse drug reactions (ADRs). This study aims to explore the existing pharmacovigilance system and procedure followed for ADR reporting in selected Dubai hospitals.
View Article and Find Full Text PDF