11,924 research outputs found
Wherefore Art Thou Guidelines? An Empirical Study of White-Collar Criminal Sentencing and How the Gall Decision Effectively Eliminated the Sentencing Guidelines
[Excerpt] “Until the passage of the U.S. Federal Sentencing Guidelines in 1984, federal judges had relatively wide discretion in sentencing federal offenders up to the statutory maximum. This judicial discretion led to a disparity in the sentences of similarly situated offenders, particularly in white-collar cases. The Guidelines attempted to eliminate this disparity by establishing maximum and minimum sentences for certain offenses based on the characteristics of the crime. An important feature of the Guidelines system was its mandatory nature, which decreased and structured the judiciary‘s discretion within bounds set by Congress.
The mandatory application of the Guidelines resulted in stiff sentences for white-collar criminals, effectively reducing the disparity in sentencing that had existed prior to implementation. However, in January of 2005, the U.S. Supreme Court held in United States v. Booker that the Guidelines‘ mandatory use of enhancing factors not found by a jury was unconstitutional, and the proper remedy for this constitutional error was to sever the provisions from the statute that made the Guidelines mandatory, rendering the Guidelines advisory. Then, in December of 2007, the Court effectively eliminated the mandatory guideline sentencing entirely in Gall v. United States.
Although the Gall decision impacts all sentencing within the federal court system, a significant group of criminal defendants that one should expect to be impacted are high-ranking corporate officers convicted of financial crimes. Theoretically, those defendants should now expect to receive lighter sentences, in part because of the subjective factors available to district court judges during sentencing which were expressly rejected by appellate courts prior to Gall.
Additionally, because judges often articulate the view that white-collar crime lacks violence and identifiable victims — a belief that tends to obscure the severity of the harm caused by white-collar crimes — their personal views often influence white-collar defendants‘ sentences. Although one of the motivating factors behind Congress‘s passage of the Guidelines was the relatively light sentences given to white-collar criminals, recent trends demonstrate that judges have increasingly imposed more lenient sentences upon white-collar defendants since the Booker decision, a trend which Gall could help accelerate. This note will theoretically analyze why one should expect lighter sentences for defendants convicted of financial crimes, and it will test that theory by examining sentences imposed on Chief Financial Officers (CFOs) from 1998 to 2007.
Embedded direct numerical simulation for aeronautical CFD
AbstractA method is proposed by which a direct numerical simulation of the compressible Navier-Stokes equations may be embedded within a more general aeronautical CFD code. The method may be applied to any code which solves the Euler equations or the Favre-averaged Navier-Stokes equations. A formal decomposition of the flowfield is used to derive modified equations for use with direct numerical simulation solvers. Some preliminary applications for model flows with transitional separation bubbles are given.</jats:p
Accurate photonic temporal mode analysis with reduced resources
The knowledge and thus characterization of the temporal modes of quantum
light fields is important in many areas of quantum physics ranging from
experimental setup diagnosis to fundamental-physics investigations. Recent
results showed how the auto-correlation function computed from continuous-wave
homodyne measurements can be a powerful way to access the temporal mode
structure. Here, we push forward this method by providing a deeper
understanding and by showing how to extract the amplitude and phase of the
temporal mode function with reduced experimental resources. Moreover, a
quantitative analysis allows us to identify a regime of parameters where the
method provides a trustworthy reconstruction, which we illustrate
experimentally
Recommended from our members
Radar Z-R relationship for summer monsoon storms in Arizona
Radar-based estimates of rainfall rates and accumulations are one of the principal tools used by the National Weather Service (NWS) to identify areas of extreme precipitation that could lead to flooding. Radar-based rainfall estimates have been compared to gauge observations for 13 convective storm events over a densely instrumented, experimental watershed to derive an accurate reflectivity-rainfall rate (i.e., Z-R) relationship for these events. The resultant Z-R relationship, which is much different than the NWS operational Z-R, has been examined for a separate, independent event that occurred over a different location. For all events studied, the NWS operational Z-R significantly overestimates rainfall compared to gauge measurements. The gauge data from the experimental network, the NWS operational rain estimates, and the improved estimates resulting from this study have been input into a hydrologic model to "predict" watershed runoff for an intense event. Rainfall data from the gauges and from the derived Z-R relation produce predictions in relatively good agreement with observed streamflows. The NWS Z-R estimates lead to predicted peak discharge rates that are more than twice as large as the observed discharges. These results were consistent over a relatively wide range of subwatershed areas (4-148 km2). The experimentally derived Z-R relationship may provide more accurate radar estimates for convective storms over the southwest United States than does the operational convective Z-R used by the NWS. These initial results suggest that the generic NWS Z-R relation, used nationally for convective storms, might be substantially improved for regional application. © 2005 American Meteorological Society
Decoherence-protected memory for a single-photon qubit
The long-lived, efficient storage and retrieval of a qubit encoded on a
photon is an important ingredient for future quantum networks. Although systems
with intrinsically long coherence times have been demonstrated, the combination
with an efficient light-matter interface remains an outstanding challenge. In
fact, the coherence times of memories for photonic qubits are currently limited
to a few milliseconds. Here we report on a qubit memory based on a single atom
coupled to a high-finesse optical resonator. By mapping and remapping the qubit
between a basis used for light-matter interfacing and a basis which is less
susceptible to decoherence, a coherence time exceeding 100 ms has been measured
with a time-independant storage-and-retrieval efficiency of 22%. This
demonstrates the first photonic qubit memory with a coherence time that exceeds
the lower bound needed for teleporting qubits in a global quantum internet.Comment: 3 pages, 4 figure
Recommended from our members
The role of hydrograph indices in parameter estimation of rainfall-runoff models
A reliable prediction of hydrologic models, among other things, requires a set of plausible parameters that correspond with physiographic properties of the basin. This study proposes a parameter estimation approach, which is based on extracting, through hydrograph diagnoses, information in the form of indices that carry intrinsic properties of a basin. This concept is demonstrated by introducing two indices that describe the shape of a streamflow hydrograph in an integrated manner. Nineteen mid-size (223-4790 km2) perennial headwater basins with a long record of streamflow data were selected to evaluate the ability of these indices to capture basin response characteristics. An examination of the utility of the proposed indices in parameter estimation is conducted for a five-parameter hydrologic model using data from the Leaf River, located in Fort Collins, Mississippi. It is shown that constraining the parameter estimation by selecting only those parameters that result in model output which maintains the indices as found in the historical data can improve the reliability of model predictions. These improvements were manifested in (a) improvement of the prediction of low and high flow, (b) improvement of the overall total biases, and (c) maintenance of the hydrograph's shape for both long-term and short-term predictions. Copyright © 2005 John Wiley & Sons, Ltd
Exploring the Process of Motivating Undergraduate Online Student from Online Instructors\u27 Perspectives: A Qualitative Case Study
The purpose of this case study was to describe the process of motivating online undergraduate students from the online instructors’ perspectives at online institutions. The theory guiding this study was B.F. Skinner’s reinforcement theory as it provided insight into how students are motivated using reinforcements. This is imperative to this study as instructors provide many of these reinforcements to their student population. This study was designed to answer a central question: How do online instructors describe the process of keeping their students motivated within the online classroom? Utilizing the prescribed data collection methods, a sample was derived from Cherry Hill College, an online college that operates throughout the United States, and used a convenience sampling size of 10 participants. Data collection was based on individual interviews, a focus group, and questionnaires to identify common themes and experiences amongst the instructors who participated in this study. The data analyzed was used to reflect on major themes that shaped the findings of this study regarding instructors’ perspectives of student motivation in the undergraduate online classroom. The findings of the research study indicated instructors impact student motivation. With the ability to recognize motivated and unmotivated students, utilizing effective communication and methods of reinforcement with proactive outreach, the instructors could positively impact student motivation and retention rates
Recommended from our members
Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response
Weather radar systems provide detailed information on spatial rainfall patterns known to play a significant role in runoff generation processes. In the current study, we present an innovative approach to exploit spatial rainfall information of air mass thunderstorms and link it with a watershed hydrological model. Observed radar data are decomposed into sets of rain cells conceptualized as circular Gaussian elements and the associated rain cell parameters, namely, location, maximal intensity and decay factor, are input into a hydrological model. Rain cells were retrieved from radar data for several thunderstorms over southern Arizona. Spatial characteristics of the resulting rain fields were evaluated using data from a dense rain gauge network. For an extreme case study in a semi-arid watershed, rain cells were derived and fed as input into a hydrological model to compute runoff response. A major factor in this event was found to be a single intense rain cell (out of the five cells decomposed from the storm). The path of this cell near watershed tributaries and toward the outlet enhanced generation of high flow. Furthermore, sensitivity analysis to cell characteristics indicated that peak discharge could be a factor of two higher if the cell was initiated just a few kilometers aside. © 2005 Elsevier Ltd. All rights reserved
Convergence à la frontière rhénane: les mode de contacts entre les populations frontalières (Ier s. de n. è.)
El artÃculo se centra en las diferentes modalidades de contactos entre los grupos romanos y no romanos en la frontera del Rin. Puesto que en esta región dichas modalidades, se estudian generalmente a través de los datos materiales, la autora se propone examinarlas a través de los datos literarios. El artÃculo examina las interacciones militares, polÃticas, diplomáticas, económicas, sociales y culturales. Se concluye con una reflexión sobre el papel de las fuentes literarias para comprender el pasado.This paper, entitled Converging at the Rhine Frontier : Modes of Contact between Border Populations (1st century A.D.), focuses on the various modes of contact between Roman and non-Roman groups in the Rhine Frontier. Since modes of contact in this region have usually been studied through material data, the author proposes to examine them through literary data. The paper examines military, political, diplomatic, economic, and social-cultural interactions. It concludes on a reflection about the role of literary sources to understand the past
- …