Research and development
Use of Genetically Variant Peptides to Statistically Estimate the Genetic Background of Hair Shafts
Isomer Differentiation of Novel Psychoactive Substances Using Gas Chromatography Solid Phase Infrared Spectroscopy (GC/IR)
Understanding Socio-environmental and Physical Risk Factors Influencing Firearm Violence
The Nature, Trends, Correlates, and Prevention of Mass Public Shootings in America, 1976-2018
Confronting School Violence: A Synthesis of Six Decades of Research
Knowledge about others reduces one’s own sense of anonymity
Five Things About Juvenile Delinquency Intervention and Treatment
Understanding and Characterizing Labor Trafficking Among U.S. Citizen Victims
Development of an Extraction Technique for Ignitable Liquid Residues (ILR) in the Field using Capillary Microextraction of Volatiles (CMV) and Person-Portable GC-MS
Introduction and Initial Evaluation of a Novel Three-Dimensional Imaging and Analysis System for Firearm Forensics
Measuring Evaporation Rate Constants of Highly Volatile Compounds and Investigating the Effect of Interface on a Kinetic Model Applied to Forensic Fire Debris
Development of a Database of Contemporary Material Properties for Fire Investigation Analysis Materials and Methods
Platinum-Nanoparticle-Modified Single-Walled Carbon Nanotube-Laden Paper Electrodes for Electrocatalytic Oxidation of Methanol
Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications
Development of an Open-Source Direct Analysis in Real Time Mass Spectrometry (DART-MS) Search Software and Library Building Tool for the Analysis of Complex Drug Mixtures
How Prevalent is Violence in Missing and Unidentified Persons Cases?
For cases in which violence is a contributing factor, new research presents the importance of characterizing the NamUs database.
What Are Predictors of School Violence? What Are Its Consequences?
Detecting Opioid Distribution Networks Using Network Modeling and Community-Based Intelligence
Illicit opioid supplies can be greatly reduced if distribution networks are disrupted. New research highlights the power of computer modeling and community-based intelligence to reveal network connections.