Harming America: Corporate Crime in a Context of Deregulation

ABSTRACT

Like many Republican presidential candidates before him, Donald J. Trump campaigned on a pro-business, anti-regulation platform, and since his election in November 2016, he has directed his administration to move forward with deregulation in many arenas, including consumer financial protections, environmental controls, and workplace safety among others. Past efforts to roll back regulations governing certain industries, such as the savings and loan and the mortgage industries, have had harmful consequences for the general public or for specific interest groups. In this study, we review what the Trump administration has accomplished with regard to deregulation to date. Then, based on past deregulatory fiascos, we theorize the harmful collateral consequences that may result from this most recent swing of the regulatory-deregulatory pendulum.     

Effect of Wind on Horizontal Displacement of Fatal Fall from a Height

The horizontal displacement of the human body resulting from fatal fall from a height is an important variable commonly used to inversely determine the cause or identify other forensic aspects of the fall. When examining the horizontal displacement, the wind effect is generally ignored. This technical note reports analytical modeling of the falling process, utilizing previous measurements of wind force acting on the human body, for determining the functional relationship between the wind speed and the horizontal displacement in the falling process. The result reveals that it does not take extremely rare wind conditions to cause a considerable shift of the human body, highlighting the importance to consider wind as a factor in investigations of fatal falls.     

MI Implementation in Juvenile Justice: A Case Report

Motivational interviewing (MI) is a communication style focused on enhancing clients’ own motivation towards change. In the justice system MI has evidence to support that it enhances communication and change behaviors in youth. As most MI training is designed for healthcare settings training and implementation of MI must be adapted to fit the juvenile justice model. This includes both rehabilitation and restorative justice. Here we describe the details that allowed one county small county in Pennsylvania to roll out MI training and initial skills review in less than 6 months. The case reviews the details of planning, trainings, and timing of activities. We then discuss what elements of those details fit into a greater implementation plan that may be applied elsewhere. Four key elements were instrumental to implementation: 1) appreciation of JPO time constraints, 2) cost containment 3) using blending to enhance JPO flexibility with MI use, and 4) policies that normalize use of MI. This outline may assist other courts in their own implementation efforts.     

Sample Mining and Data Mining: Combined Real-Time and Retrospective Approaches for the Identification of Emerging Novel Psychoactive Substances

Novel psychoactive substances (NPS) are synthetic drugs that pose serious public health and safety concerns. A multitude of NPS have been identified in the United States, often implicated in forensic investigations. The most common and effective manner for identifying NPS is by use of mass spectrometry and the true utility lies within nontargeted acquisition techniques. During this study, a liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) assay was developed, validated, and implemented for forensic toxicology testing. A SCIEX TripleTOF™ 5600 + with SWATH^® acquisition was used. Resulting data were compared against an extensive library database containing more than 800 compounds. The LC-QTOF-MS assay was applied to the reanalysis of biological sample extracts to discover emergent NPS. More than 3,000 sample extracts were analyzed, and more than 20 emerging NPS were detected for the first time. Among these were isopropyl-U-47700, 3,4-methylenedioxy-U-47700, fluorofuranylfentanyl, N-methyl norfentanyl, 2F-deschloroketamine, 3,4-methylenedioxy-alpha-PHP, eutylone, and N-ethyl hexedrone.     

智能互联网的法律风险及其立法应对

智能互联网技术的快速发展和应用带来了诸多变革,虚拟社会、人机互动、算法规则使得现行法律制度面临一系列风险和挑战:法律价值上,传统法律正义观难以衡量一些抉择;法律关系上,既有的法律规范无法涵盖和调整一些新权益;法律适用上,司法制度遭遇障碍,等等.出现这些挑战的症结在于现行法律的过度滞后,除了法律天然的滞后性,保守的立法原则和繁复的立法程序也是重要影响因素.因此,有必要确立立法的适度超前原则,探索网络技术标准法律化,促进网络立法智能化,制定网络"基本法",建立适合智能互联网时代的网络法律体系.     

Prisons or Problem-Solving: Does the Public Support Specialty Courts?

ABSTRACT

Recently, “problem-solving” courts have been developed as an alternative to imprisonment. They are often called “specialty” courts because they process and divert into treatment programs offenders who are seen as different from the general criminal population, such as those with mental health or drug problems, those who are homeless or veterans, and those who engage in domestic violence. Based on a 2017 national survey of 1,000 respondents, the current study examines overall public support for rehabilitation as a goal of corrections and then focuses specifically on support for different types of specialty courts. The analysis reveals that the American public endorses not only the rehabilitative ideal but also the use of problem-solving courts. Further, with only minimal variation, strong support for these courts appears to exist regardless of political orientation and sociodemographic characteristics.     

Democracy's Pin Factory: Issue Specialization,the Division of Cognitive Labor,and Epistemic Performance

This article describes how issue specialization through deliberative institutions called “issue publics” can improve the quality of democratic decision making. Issue specialization improves decisions by instantiating a cognitive division of labor among the mass public, which creates efficiencies in decision making and grants large groups of average citizens a scalable advantage over small groups of even the smartest and most capable individuals. Issue specialization further improves decisions by capturing issue-specific information, concentrating it within the specialized deliberative enclaves of issue publics, and refining citizens’ issue preferences. These advantages are brought to bear in wider democratic politics and policy through information shortcuts and through the specialized electoral incentives of representatives. The article responds to concerns about political ignorance, polarization/partisanship, rent seeking, and socioeconomic bias and argues that issue specialization can provide a valuable brake to polarization yet needs institutional supplementation to engage marginalized citizens and combat bias.     

Applying Moral Foundations Theory to the Explanation of Capital Jurors’ Sentencing Decisions

Abstract

This study applies moral foundations theory to capital juror decision making. We hypothesized that binding moral foundations would predict death qualification and punitive sentencing decisions, whereas individualizing moral foundations would be associated with juror disqualification and a leniency effect. Additionally, we considered whether moral foundations can explain differences in death penalty application between conservatives and liberals. Respondents from two independent samples participated in a mock-juror task in which the circumstances of a hypothetical defendant’s case varied. Results revealed moral foundations were strong predictors of death qualification. The binding and individualizing foundations were related to sentencing decisions in the expected ways. Supporting our contention that moral foundations operate differently across different types of cases, heterogeneity in the effects of moral foundations was observed. Finally, we found support for the hypothesis that the relationship between sentencing decisions and conservatism would be attenuated by moral foundations.