Validation of thin layer chromatography with AccuTOF-DART™ detection for forensic drug analysis

Abstract: Thin layer chromatography (TLC) is a technique that is commonly employed in the forensic drug analysis of pharmaceutical preparations. Detection is typically accomplished using various visualization spray reagents. Conventional gas chromatography–mass spectrometry (GC‐MS) analysis is typically performed to confirm the TLC results. Depending on the drugs tested and the instrument conditions required, this confirmation can take up to an hour to complete. Direct analysis in real time (DART?) is an ionization source, coupled to an accurate‐mass time‐of‐flight mass spectrometer that has the capability to ionize materials under ambient conditions. To streamline analysis, the combination of TLC with DART? detection is proposed to screen and subsequently identify drug compounds, all from the same TLC plate. DART? confirmations of TLC analyses take <10 min to complete and compare favorably to GC‐MS in sensitivity and selectivity. This study validates the use of TLC‐DART in the forensic identification of the components of several pharmaceutical preparations.     

Analysis of alprazolam by DART-TOF mass spectrometry in counterfeit and routine drug identification cases

The high prevalence of alprazolam abuse translates to an increased workload for crime laboratories in characterizing seized tablets. These tablets may originate as diverted pharmaceuticals or counterfeited mimics, so efficient analytical techniques should provide confirmatory data while minimizing destruction of evidence. We offer the first report of a validated forensic method for confirming alprazolam tablets by direct analysis in real time-time of flight (DART-TOF) mass spectrometric analysis. This technique provides rapid identification of target analytes with minimal sample preparation, allowing direct analysis in the atmospheric sample gap. Selectivity is achieved through high resolution and mass accuracy, unique ion fragments, and chlorine isotopic ratios. This method utilizes fragmentation in two separate voltage functions to observe the alprazolam pseudo molecular ion at 309.09070 using 40 V and major ion fragments of 281.07197 and 205.07657 at 120 V. These parameters allow our laboratory to confirm alprazolam tablets efficiently, without compromising quality forensic standards.     

行政行为对民事审判的拘束效力研究

在民事诉讼中,民事争议与行政争议交叉处理问题实质上是行政行为对民事审判的拘束效力问题。通过分析其成因及借鉴域外之经验,可以找到解决这一问题的思路：首先要判断该行政行为是否构成＂先决问题＂,即行政行为是否具有先决性,是否是尚未发生形式确定力的非无效行政行为。在构成＂先决问题＂的前提下,以行政行为对私法关系的作用效果为依据确定民事审判权的审查限度,即对确认性行政行为、形成性行政行为、裁决性行政行为分别适用民事先行、先行后民、行政附带的司法审查机制。     

Quick Screening of Crystal Methamphetamine/Methyl Sulfone Exhibits by Raman Spectroscopy

Abstract: The analysis of mixtures of “crystal meth” (usually comprised of methyl sulfone [MS] and methamphetamine [MA]) by gas chromatography‐mass spectrometry (GCMS) is routine in many forensic drug laboratories. The utilization of Raman spectroscopy for the identification of such mixtures quickly and without the need for a separation technique is discussed. Samples were dissolved in water and Raman spectra of the resulting aqueous solutions were collected. By comparing these spectra to spectra of methylsulfone and MA mixtures of known composition, an indication of the composition of the sample can be obtained in only a few minutes. This spectral comparison also can be used as a semi‐quantitative analysis of MA concentrations in such exhibits.     

Raman Spectroscopy as a Simple,Rapid, Nondestructive Screening Test for Methamphetamine in Clandestine Laboratory Liquids

Raman spectroscopy has found increased use in the forensic controlled substances laboratory in recent years due to its rapid and nondestructive analysis capabilities. Here, Raman spectroscopy as a screening test for methamphetamine in clandestine laboratory liquid samples is discussed as a way to improve the efficiency of a laboratory by identifying the most probative samples for further workup among multiple samples submitted for analysis. Solutions of methamphetamine in ethanol, diethyl ether, and Coleman fuel were prepared in concentrations ranging from 0.5% to 10% w/v, and Raman spectra of each were collected. A concentration‐dependant Raman peak was observed at 1003 per cm in each solution in 4% w/v and greater solutions. Case samples were analyzed and also found to reliably contain this diagnostic peak when methamphetamine was present. The use of this diagnostic indicator can save the forensic controlled substances laboratory time and materials when analyzing clandestine laboratory liquid submissions.     

‘I'm still a hustler’: entrepreneurial responses to precarity by participants in phase I clinical trials

Abstract

This paper questions the implications of entrepreneurial responses to conditions of employment precarity by ‘healthy volunteers’ in phase I clinical trials in the United States. Such individuals are typically serial participants who often identify as professional volunteers and seek out drug studies as their primary source of income. Drawing on extensive qualitative research, this paper illustrates how healthy volunteers selectively import the identity of ‘hustler’ from the street environment and reposition it as connoting a set of valuable creative skills that give them a competitive edge over other participants. An entrepreneurial ethos allows them to view personal sacrifice and exposure to potentially dangerous drugs as smart investments leading to financially stable futures. These discursive moves normalize extractive, and at times dehumanizing, labour relations that offload expenses and risks to workers.     

行政诉讼类型化研究——以漳州市行政审判为例

行政诉讼类型化理论和制度体系是推动我国行政法治进程的重要一环,然而我国现有法律对行政诉讼类型并未作明确的规定。从现实审判需要的角度出发,针对违反法定程序的撤销诉讼判决种类过于简单、客观诉讼和规范审查诉讼标准尚无体现、诉讼类型与判决种类尚未衔接等问题,可在借鉴域外经验的基础上,完善行政诉讼类型且主张法院只能针对特定的行政诉讼类型作出特定的判决种类,以构建我国行政诉讼类型化体系。     

Long‐Run Labor Market Effects of the Job Corps Program: Evidence from a Nationally Representative Experiment

Job Corps is the nation's largest and most comprehensive career technical training and education program for at‐risk youth ages 16 to 24. Using the sample from a large‐scale experiment of the program from the mid‐1990s, this article uses tax data through 2015 (20 years later) to examine long‐term labor market impacts. The study finds some long‐term beneficial effects for the older students, with employment gains of 4 percentage points, 40 percent reductions in disability benefit receipt, and 10 percent increases in tax filing rates in 2015. For these students, program benefits exceeded program costs from the social perspective. This study is the first to establish that a national program for disconnected youth can produce long‐term labor market gains, and can be a positive investment made for society. The results suggest that intensive, comprehensive services that focus on developing both cognitive and noncognitive skills are important for improving labor market prospects for this population.     

The impact of after‐school programs on the routine activities of middle‐school students: Results from a randomized,controlled trial*

Research Summary Unsupervised after‐school time for adolescents is a concern for parents and policymakers alike. Evidence linking unsupervised adolescent socializing to problem behavior outcomes heightens this concern among criminologists. Routine activities theory suggests that, when youth peer groups congregate away from adult authority, both opportunity for and motivation to engage in deviant acts increase. After‐school programs are a possible solution to unsupervised teen socializing during afternoon hours and are much in demand. However, empirical research has yet to test the relationship between the availability of after‐school programs and youth routine activities. This study presents evidence from a multisite, randomized, controlled trial of an after‐school program for middle‐school students in an urban school district. Policy Implications Youth in the treatment group engaged in less unsupervised socializing after school than youth in the control group but not as much less as would be expected if the after‐school program was providing consistent supervision to youth who would otherwise be unsupervised. Additional analyses examined why the influence of the after‐school program was not more pronounced. We found that, although program attendance was related to decreases in unsupervised socializing, the program did not attract many delinquency‐prone youths who were unsupervised, which suggests that the students most in need of the program did not benefit. Furthermore, data obtained from a mid‐year activity survey revealed that youth in the study were highly engaged in a variety of after‐school activities. The addition of the after‐school program into the mixture of available activities had little effect on the frequency with which students participated in organized activities after school.     

Artificial Intelligence and Technology in Teaching Negotiation

Artificial intelligence (AI), machine learning (ML), affective computing, and big‐data techniques are improving the ways that humans negotiate and learn to negotiate. These technologies, long deployed in industry and academic research, are now being adopted for educational use. We describe several systems that help human negotiators evaluate and learn from role‐play simulations as well as applications that help human instructors teach negotiators at the individual, team, and organizational levels. AI can enable the personalization of negotiation instruction, taking into consideration factors such as culture and bias. These tools will enable improvements not only in the teaching of negotiation, but also in teaching humans how to program and collaborate with technology‐based negotiation systems, including avatars and computer‐controlled negotiation agents. These advances will provide theoretical and practical insights, require serious consideration of ethical issues, and revolutionize the way we practice and teach negotiation.