AI Article Synopsis

  • The Conference on Biosignature Preservation and Detection focused on microbial biosignatures in environments similar to Mars, gathering scientists to share insights.
  • The discussion highlighted five types of Mars analog environments: hydrothermal spring systems, subaqueous, subaerial, subsurface, and iron-rich systems.
  • A follow-up review paper will provide more detailed findings and recommendations for future astrobiological exploration missions based on the workshop's discussions and relevant literature.

Article Abstract

The Conference on Biosignature Preservation and Detection in Mars Analog Environments held in May 2016 brought together scientists to discuss microbial biosignatures in Mars analog habitable environments. Five analog environments were discussed: (1) hydrothermal spring systems, (2) subaqueous environments, (3) subaerial environments, (4) subsurface environments, and (5) iron-rich systems. This paper details the major messages that resulted from the discussions and will be followed by a review paper that adds significant detail from the published literature and interpretations from the writing committee of the workshop for future research and application to astrobiological exploration missions. Key Words: Biosignature preservation-Biosignature detection-Mars analog environments-Conference report-Astrobiological exploration. Astrobiology 17, 1-2.

Download full-text PDF

Source
http://dx.doi.org/10.1089/ast.2016.1608DOI Listing

Publication Analysis

Top Keywords

mars analog
12
analog environments
12
biosignature preservation
8
preservation detection
8
detection mars
8
environments
7
analog
5
conference report
4
report biosignature
4
environments conference
4

Similar Publications

This study investigates food odour perception and affective response within a virtually simulated spacecraft environment, with links to the volatile composition of odours. Healthy participants (n = 44) between the ages of 18-39 years rated the intensity of eight food odours in two simulated space environments for comparison, a 'microgravity' posture (MicroG Posture; physical) and Virtual Reality (VR; visual-spatial cues) simulation of a spacecraft. Results indicate that these methods yield different outcomes.

View Article and Find Full Text PDF

Purpose: This study evaluates patient-reported outcomes among patients who underwent medial collateral ligament (MCL) reconstruction with suture-augmented semitendinosus autograft (SASA).

Methods: Patients who underwent SASA MCL reconstruction between 2017 and 2022 participated in preoperative and postoperative surveys for patient-reported outcomes: Visual Analog Pain Scale (VAS), Knee Injury and Osteoarthritis Outcomes Score (KOOS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Single Assessment Numeric Evaluation (SANE), Marx Activity Rating Scale (MARS), and Veterans Rand 12 (VR-12). Paired t-tests were performed to compare preoperative and postoperative scores.

View Article and Find Full Text PDF

Introduction: This study evaluated patient-reported outcome measures and reinjury rates in higher-risk adolescents and young adults aged 14-25 years old following Anterior Cruciate Ligament reconstruction using autograft with suture tape augmentation (SA ACLR).

Materials And Methods: We performed a retrospective case series of patients aged 14-25 who underwent SA ACLR by a single surgeon between 2016 and 2020. After a minimum of 2 years of follow-up, data was collected on reinjury and patient reported outcome measures, including Knee Injury and Osteoarthritis Outcome Score (KOOS), Marx Activity Rating Scale (MARS), Single Assessment Numeric Evaluation (SANE), and Visual Analog Pain Scale (VAPS).

View Article and Find Full Text PDF

In situ resource utilization systems based on cyanobacteria could support the sustainability of crewed missions to Mars. However, their resource-efficiency will depend on the extent to which gases from the Martian atmosphere must be processed to support cyanobacterial growth. The main purpose of the present work is to help assess this extent.

View Article and Find Full Text PDF

This study aimed to predict temporomandibular disorder (TMD) using machine learning (ML) approaches based on measurement parameters that are practically acquired in clinical settings. 125 patients with TMD and 103 individuals without TMD were included in the study. Pain intensity (with visual analog scale), maximum mouth opening (MMO) and lateral excursion movements (with millimeter ruler), cervical range of motion (with goniometer), pressure pain threshold (PPT; with algometer), oral parafunctional behaviors (with Oral Behaviors Checklist), psychological status (with Hospital Anxiety and Depression Scale), and quality of life (with Oral Health Impact Profile) were evaluated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!