Conceptualizations of Legalese in the Course of Due Process, from Arrest to Plea Bargain: The Perspectives of Disadvantaged Offenders

Equal protection and due process of law are constitutional guarantees tenaciously embraced by all Americans.\u27 While numerous studies focused on how these guarantees play out in the lives of offenders, few sought to examine these guarantees from the standpoint of offenders, particularly those from disadvantaged socio-economic backgrounds. Guaranteed under the Fourteenth Amendment of the U.S. Constitution, the Equal Protection Clause makes clear, in part, that, No State shall make or enforce any law which shall abridge the privileges or immunities of citizens of the United States; nor shall any State deprive any person of life, liberty, or property, without due process of law; nor deny to any person within its jurisdiction the equal protection of the laws

, The American Constitution in the Cycle of Kali Yuga: Eastern Philosophy Greets Western Democracy

This paper will explore the above-mentioned questions while taking into consideration the intent and overarching tenets of the Constitution in relation to the precepts of Kali Yuga. The hope is to generate discourse on some of the trappings of the Constitution and constitutional democracy in an ever changing and increasingly diverse and segmented society-a nation with a multiplicity of cultures with distinctive beliefs and moral systems. Emphatically stated, the intent is not to examine every article or amendment of the Constitution; this would be presumptuous. The intent is to foster an examination of the Constitution as the overall architectural framework of foundational principles that hold the U.S. together

Towards an Understanding of Critical Race Theory: Dispelling False Claims and Misrepresentations

The Article discusses critical race theory as a paradigm shift, and further dispels the notion that it promotes a form of Marxism. With the rise of political attitudes toward seeking legislation to denounce CRT, it is incumbent upon those in legal studies to investigate and bring the value of CRT into the forefront. The purpose of this Article is to open a new discussion on these issues, rooted in promoting cultural competency in the legal profession

QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization

Automation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching learning-based optimization (TLBO) algorithm. The QFT controller design problem has been posed as an optimization problem and TLBO algorithm has been used to minimize the proposed cost function. This facilitates designing low-order fixed-structure controller, eliminates the need of manual loop shaping step on the Nichols charts, and prevents the overdesign of the controller. A performance comparison of the designed controller has been made with the classical PID tuning method of Ziegler-Nichols and QFT controller tuned using other optimization algorithms. The simulation results show that the designed QFT controller using TLBO offers robust stability, disturbance rejection, and proper reference tracking over a range of PMSM’s parametric uncertainties as compared to the classical design techniques

Design of Fixed Order Robust Discrete Controller Using Frequency-Domain Robust Controller Design Toolbox

ABSTRACT: The objective of the paper is to design the robust discrete H ∞ controller for dc motor position control using Frequency-Domain Robust Controller Design Toolbox. In this paper, the time performance characteristics of 2 nd and 3 rd order controller has been compared by taking dc motor as a design example. The paper aims at demonstrating and simple modelling and robust discrete control synthesis strategies

EM Performance Analysis of Tri-layer Metamaterial FSS for Radome Applications

Abstract attached as PD

Superficial Ulnar Artery and its Clinical Significance

We present a case with an atypical variation of the ulnar artery discovered while examining a cadaver in our routine Gross Anatomy lab dissection. A superficial ulnar artery was found in a 55-year-old male cadaver originating directly from the brachial artery. This is a rare variation where the route of the ulnar artery runs superficially to the flexor compartment in the forearm. Based on previous cadaver studies, the incidence of such variation in the adult population appears to be approximately 3.75%. Deviations in the ulnar artery can lead to a potential risk of injury to patients during surgery. The superficial ulnar artery can mistakenly result in the administration of medicines into the artery as opposed to the median cubital vein during the injection. Hemorrhaging as well as other potential traumas can occur. We will also discuss the potential complications that could arise from this variant and the clinical recommendations for treatment

Unique Fixed Point Theorems for Generalized Contractive Mappings in Partial Metric Spaces

We establish some unique fixed point theorems in complete partial metric spaces for generalized weakly -contractive mappings, containing two altering distance functions under certain assumptions. Also, we discuss some examples in support of our main results

ESRO: Experience Assisted Service Reliability against Outages

Modern cloud services are prone to failures due to their complex architecture, making diagnosis a critical process. Site Reliability Engineers (SREs) spend hours leveraging multiple sources of data, including the alerts, error logs, and domain expertise through past experiences to locate the root cause(s). These experiences are documented as natural language text in outage reports for previous outages. However, utilizing the raw yet rich semi-structured information in the reports systematically is time-consuming. Structured information, on the other hand, such as alerts that are often used during fault diagnosis, is voluminous and requires expert knowledge to discern. Several strategies have been proposed to use each source of data separately for root cause analysis. In this work, we build a diagnostic service called ESRO that recommends root causes and remediation for failures by utilizing structured as well as semi-structured sources of data systematically. ESRO constructs a causal graph using alerts and a knowledge graph using outage reports, and merges them in a novel way to form a unified graph during training. A retrieval-based mechanism is then used to search the unified graph and rank the likely root causes and remediation techniques based on the alerts fired during an outage at inference time. Not only the individual alerts, but their respective importance in predicting an outage group is taken into account during recommendation. We evaluated our model on several cloud service outages of a large SaaS enterprise over the course of ~2 years, and obtained an average improvement of 27% in rouge scores after comparing the likely root causes against the ground truth over state-of-the-art baselines. We further establish the effectiveness of ESRO through qualitative analysis on multiple real outage examples.Comment: Accepted to 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023