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The wars in Iraq and Afghanistan required that forensic science was used beyond the traditional law enforcement and criminal justice goals and applied to military operations. The 9/11 terror attacks in the United States (US) inspired further attacks in the Western World and highlighted the importance of national and international intelligence sharing for counterterrorism operations. Following the 9/11 attacks, anthrax was disseminated in the US mail system, demonstrating a successful modern use of biological agents. As a result, nations enhanced their Chemical, Biological, Radiological and Nuclear (CBRN) capabilities to prevent, prepare, respond, and recover from CBRN attacks but in the last decade, there has been a decrease in capabilities across military forensic science, counterterrorism, and CBRN. Recent changes in the global and strategic environment such as, the war in the Ukraine, the threat of grey zone conflicts (below the threshold of war) such as the conflict in the Middle East, and strategic competition, indicates international, national, state and local CBRN capabilities need to be reinvigorated in a world under digital transformations. There is a need for a harmonized approach to enhance the integration of military, law enforcement, and CBRN operations to support decision-making. In this paper, we look back to where we have come from and where we are now to make recommendations on where to from here for military forensic science and counterterrorism, including CBRN which intersects both of these systems.
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http://dx.doi.org/10.1016/j.forsciint.2024.112218 | DOI Listing |
Anal Methods
September 2025
College of Science, Kunming University of Science and Technology, Kunming, 650500, China.
To address the technical challenges associated with determining the chronological order of overlapping stamps and textual content in forensic document examination, this study proposes a novel non-destructive method that integrates hyperspectral imaging (HSI) with convolutional neural networks (CNNs). A multi-type cross-sequence dataset was constructed, comprising 60 samples of handwriting-stamp sequences and 20 samples of printed text-stamp sequences, all subjected to six months of natural aging. Spectral responses were collected across the 400-1000 nm range in the overlapping regions.
View Article and Find Full Text PDFJ Mass Spectrom
October 2025
Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
The laboratory analysis of new psychoactive substances and related drugs is crucial for accurate clinical and forensic diagnosis of poisonings. Given this, a new LC-MS/MS method for analyzing hallucinogens, synthetic cathinones, and synthetic cannabinoids in urine was developed. Urine samples were extracted using a liquid-liquid extraction protocol optimized via a multivariate experimental design.
View Article and Find Full Text PDFEmerg Med J
September 2025
Department of Emergency Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
Background: Civilians in South Africa experience a high incidence of crush injury, or traumatic rhabdomyolysis. Community assault (CA) is a common mechanism of crush injury in South Africa, where victims are assaulted by multiple persons using a variety of objects. A crush injury places patients at risk of renal dysfunction.
View Article and Find Full Text PDFNeurobiol Aging
September 2025
Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong. Electronic address:
Sci Justice
September 2025
Department of Micro Traces Evidence Examination, Institute of Forensic Science, Beijing, China. Electronic address:
Homemade explosives (HMEs) present significant challenges to forensic investigations due to their diverse chemical compositions and varying construction methods. Identifying the origin of these explosives is crucial for linking evidence across crime scenes. To address this challenge, this study employs an advanced data mining technique to enhance the forensic analysis of a unique dataset consisting of 344 HME samples collected from 129 real cases in China over an eight-year period (2015-2022).
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