State militaries have strong interests in developing enhanced warfighters: taking otherwise healthy service personnel (soldiers, marines, pilots, etc.) and pushing their biological, physiological, and cognitive capacities beyond their individual statistical or baseline norm. However, the ethical and regulatory challenges of justifying research into these kinds of interventions to demonstrate the efficacy and safety of enhancements in the military has not been well explored. In this paper, we offer, in the context of the US Common Rule and Institutional Review Board framework, potential justifications for justifying research into enhancing warfighters on the grounds of (i) individual and group risk reduction; (ii) protection of third parties such as civilians; and (iii) military effectiveness.
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http://dx.doi.org/10.1093/jlb/lsae023 | DOI Listing |
Chem Sci
January 2025
Department of Chemical Sciences, Indian Institute of Science Education and Research Mohanpur 741246 Kolkata India
Developing a self-sensitized catalyst from earth-abundant elements, capable of efficient light harvesting and electron transfer, is crucial for enhancing the efficacy of CO transformation, a critical step in environmental cleanup and advancing clean energy prospects. Traditional approaches relying on external photosensitizers, comprising 4d/5d metal complexes, involve intermolecular electron transfer, and attachment of photosensitizing arms to the catalyst necessitates intramolecular electron transfer, underscoring the need for a more integrated solution. We report a new Cu(ii) complex, K[CuNDPA] (1[K(18-crown-6)]), bearing a dipyrrin amide-based trianionic tetradentate ligand, NDPA (HL), which is capable of harnessing light energy, despite having a paramagnetic Cu(ii) centre, without any external photosensitizer and photocatalytically reducing CO to CO in acetonitrile : water (19 : 1 v/v) with a TON as high as 1132, a TOF of 566 h and a selectivity of 99%.
View Article and Find Full Text PDFEnviron Res
January 2025
CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. Electronic address:
This study encompasses the explication of systematic spatial distribution patterns and identification of hotspots of contaminants of emerging concern (CECs) across the network of rivers, including Yarlung Tsangpo River and its tributaries in Xizang Plateau. A total of 16 CECs were detected in wide range of frequencies and concentrations ranging from below limit of detection (BLD) - 163.13 ng/L across the river network, indicating widespread spatial heterogeneity.
View Article and Find Full Text PDFAntimicrob Steward Healthc Epidemiol
August 2024
VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Objective: Inpatient antibiotic use increased during the early phases of the COVID-19 pandemic. We sought to determine whether these changes persisted in persons with and without COVID-19 infection.
Design: Retrospective cohort analysis.
JAMA Netw Open
January 2025
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Eligibility criteria for randomized clinical trials (RCTs) are designed to select clinically relevant patient populations. However, not all eligibility criteria are strongly justified, potentially excluding marginalized groups, and limiting the generalizability of trial findings.
Objective: To summarize and evaluate the justification of exclusion criteria in published RCTs in critical care medicine.
Sci Rep
January 2025
ENET Centre, VSB-Technical University of Ostrava, Ostrava, 708 00, Czech Republic.
Identifying the parameters of a solar photovoltaic (PV) model optimally, is necessary for simulation, performance assessment, and design verification. However, precise PV cell modelling is critical for design due to many critical factors, such as inherent nonlinearity, existing complexity, and a wide range of model parameters. Although different researchers have recently proposed several effective techniques for solar PV system parameter identification, it is still an interesting challenge for researchers to enhance the accuracy of the PV system modelling.
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