Russia's Artificial Intelligence Strategy: The Role of State-Owned Firms

In 2017, Russian President Vladimir Putin declared that whichever country becomes the leader in artificial intelligence (AI) “will become the ruler of the world.” Yet Russia lags competitors like China and the United States substantially in AI capabilities. What is Russia's strategy for boosting development of AI technologies, and what role do groups within the Russian elite play in shaping this strategy? Russia's AI development strategy is unique in that it is led not by the government, nor by the private sector, but by state-owned firms. The government's distrust of Russia's largest tech firm, Yandex, has sidelined the company from national AI planning. Meanwhile, Russia's defense conglomerate Rostec publicly appears to focus less on artificial intelligence than on other high-tech priorities. As a result, Russia's AI development has been left to a state-owned bank, Sberbank, which has taken the lead in devising plans for government-backed investment in AI.     

Discriminating Hodgdon Pyrodex® and Triple Seven® Using Gas Chromatography–Mass Spectrometry

Abstract: Pyrodex ^® and Triple Seven ^® are black powder substitutes that often find use as fillers in improvised explosive devices, such as pipe bombs. These propellants have essentially the same overall appearance and oxidizers, but different fuels. For example, Pyrodex ^® contains sulfur, sodium benzoate, and dicyandiamide (DCDA), whereas Triple Seven ^® lacks sulfur but also contains 3‐nitrobenzoic acid. In this method, intact particles and postblast solid residues were reacted with bis(trimethylsilyl)trifluoroacetamide + 1% trimethylchlorosilane in acetonitrile for 30 min at 60°C. The resultant trimethylsilyl derivatives of the organic fuels were then analyzed by gas chromatography–mass spectrometry. Each derivative was clearly resolved from other components, and high‐quality mass spectra were obtained. In addition, characteristic fragments resulting from loss of a methyl radical from the molecular ion (m/z 163 for sulfur, m/z 171 for DCDA, m/z 179 for benzoic acid, and m/z 224 for nitrobenzoic acid) were able to be monitored.     

Trafficking in persons and victim health in Australia

This article explores the health problems experienced by victims of trafficking in persons in Australia and analyses the domestic support schemes established to assist these victims. It focuses specifically on the health of adult, female victims who constitute the majority of identified victims, and who are the principal recipients of government support services. Domestic experiences and support schemes are reviewed in the light of international law and best practice guidelines. Recommendations are made to improve the health services available to victims of trafficking in persons in Australia.     

A Statistical Validation of the Individuality and Repeatability of Striated Tool Marks: Screwdrivers and Tongue and Groove Pliers*

Abstract: Tool mark identification relies on the premise that microscopic imperfections on a tool’s working surface are sufficiently unique and faithfully transferred to enable a one‐to‐one association between a tool and the tool marks it creates. This paper presents a study undertaken to assess the validity of this premise. As part of this study sets of striated tool marks were created under different conditions and on different media. The topography of these tool marks was acquired and the degree of similarity between them was quantified using well‐defined metrics. An analysis of the resulting matching and nonmatching similarity distributions shows nearly error‐free identification under most conditions. These results provide substantial support for the validity of the premise of tool mark identification. Because the approach taken in this study relies on a quantifiable similarity metric, the results have greater repeatability and objectivity than those obtained using less precise measures of similarity.     

Pilot Study of Automated Bullet Signature Identification Based on Topography Measurements and Correlations*†

Abstract: A procedure for automated bullet signature identification is described based on topography measurements using confocal microscopy and correlation calculation. Automated search and retrieval systems are widely used for comparison of firearms evidence. In this study, 48 bullets fired from six different barrel manufacturers are classified into different groups based on the width class characteristic for each land engraved area of the bullets. Then the cross‐correlation function is applied both for automatic selection of the effective correlation area, and for the extraction of a 2D bullet profile signature. Based on the cross‐correlation maximum values, a list of top ranking candidates against a ballistics signature database of bullets fired from the same model firearm is developed. The correlation results show a 9.3% higher accuracy rate compared with a currently used commercial system based on optical reflection. This suggests that correlation results can be improved using the sequence of methods described here.     

The total effects of boot camps that house juveniles: A systematic review of the evidence

Boot camp programs were first introduced in the 1980s, became increasingly popular as a correctional sanction, and were widely adopted and implemented throughout the United States. This study involved an examination of the prevalence of state run boot camps for juvenile delinquents and a systematic review of the existing evaluations of boot camp programs that house juveniles. In addition to the effects of boot camps on recidivism, within program effects on participants’ attitudes and perceptions of boot camp, and jurisdiction-level effects on bed space were examined. Findings revealed that boot camps are less prevalent than they were in the 1990s. Boot camps, by themselves, typically do not have an effect on participants’ odds of recidivism. Boot camps do seem to improve individuals’ attitudes and other behaviors within programs. Boot camps also appear to reduce the number of confinement beds jurisdictions require, often resulting in cost savings. These findings are discussed in terms of their implications for research and practice.     

Can We Identify Bad Cops Based on History? Base Rates of Historical Markers in Law Enforcement Pre-employment Evaluations

While psychometric police selection processes have progressively evolved, the efficacy of simple background information has not been extensively evaluated. This study examined the utility of base rate information to predict job performance among law enforcement officers. Pre-employment historical markers from bad hires were compared to good hires from a large sample of 1536 officers. Of this sample, 205 officers were categorized as bad hires if they were arrested, had greater than five misconduct episodes, or were terminated for cause within 5 years following hire. Base rates of 40 pre-employment history variables were compared for good and bad hires. Analysis of markers showed that bad hires had a significantly higher frequency of markers across family factors, mental health variables, conduct problems, and criminal justice outcomes compared to good hires. Among the largest differences were history of multiple physical altercations, outpatient psychiatric treatment, and events related to previous law enforcement employment such as employer reprimands, suspensions, or fitness for duty evaluations. Many other intuitive markers occurred too infrequently to analyze or showed no significant difference between good hires and bad hires in law enforcement settings. Base rates in addition to psychological test data are necessary aspects of the police pre-employment evaluation.     

Determining the order of deposition of natural latent fingerprints and laser printed ink using chemical mapping with secondary ion mass spectrometry

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) chemical mapping was used to investigate the order of deposition of natural latent fingerprints and laser printed ink on paper. This feasibility study shows that sodium, potassium and C₃H₅ positive ions were particularly abundant endogenous components of the natural fingerprints and also present in the paper examined, but were mostly absent in the laser printed ink. Mapping of these ions enables the observation of friction ridges from latent prints on the ink surface, only when a fingerprint was deposited above the layer of ink. As a demonstration of proof of concept, blind testing of 21 samples from three donors resulted in a 100% success rate. The sensitivity of this technique was investigated within this trial through the examination of up to fifth depletion fingerprints and ageing of up to 28 days. Migration of fingerprint and paper components to the ink surface, although observed with increased ageing time, was not found to compromise determination of the deposition sequence.