Affirmative action: A status report

Affirmative Action, largely dependent as it is upon Executive Orders and judge-made law, has been rather tenuous from time to time. It came under severe stress during the Reagan Administration. Yet, the 1986-89 Supreme Court decisions show that while no revolutionary strides were made, the “core principle” itself was reaffirmed. Consequently, there appear to be some salutary effects insofar as one sees some reversals of other agency postures. Thus, one can say that Affirmative Action survived after having withstood the most relentless assault so far. However, during the 1989 term, the Court opened up issues long settled thus casting a shadow on the prospects of AA. The imponderable is the future composition of the Supreme Court along with the opportunity accorded to President George Bush.     

Self‐Strangulation Turning into Partial Hanging for a Suicide Victim

Hanging is the most common asphyxial method of suicide, whereas suicide by strangulation is unusual. Here, we are reporting a particular methodology of the asphyxial method of suicide in which a case of self‐strangulation culminated into partial hanging. A 30‐year‐old male wrapped one end of the cable wire around his neck. He then passed the other end over a curtain rod and tied that end around the right hand. He pulled the hand down, using the curtain rod as a fulcrum, to tighten the noose around the neck in an attempt to strangulate himself. However, he lost consciousness during the process and the body slipped down, pulling the right hand up which got stuck at the curtain rod. This led the body hanged in the kneeling position. This bizarre scenario raised suspicion of homicide but the crime scene, autopsy and victim characteristics were in favor of suicide.     

关于法庭科学DNA数据库若干问题的探讨

本文论述常染色体STR基因座的选取和数量对数据库直接匹配、亲缘关系检索、失踪人员检索等数据库检索应用可能带来的影响,指出大容量DNA数据库在应用中可能出现的问题,并讨论应用数据库时需要考虑的群体和群体内差异,以及Y染色体和线粒体DNA对数据库检索的辅助作用。旨在为今后建设和完善具有中国特色的大容量DNA数据库提供参考和帮助。     

The 2004 general election in India and its aftermath

In early 2004 India confirmed that coalition governments are the staple for sometime to come. This article examines the events leading to the general election and thereafter. It contends that there are several forces that will tax the new United Progressive Alliance led by the Congress Party which itself is ridden with many internal squabbles. Among the coalition partners, the Communist Party of India, which tends to be ideological in making its presence felt without accepting any responsibility by being a part of the government, can possibly be the worst threat to stability. The Bharatiya Janata Party, which does not seem to have come to terms with its defeat, seems to be obstructionist rather than being a “loyal opposition”. There are also several major issues of governance such as corruption and “tainted” Ministers which the new government has to deal with. Thus, Prime Minister Manmohan Singh wears the mantle of government rather precariously, and with an uncertain future.     

Coalition Politics in India: 2004–2009

Abstract

It is posited here that the coalition imperative of holding the alliances together just to keep in office leads to behavior that is not altogether ethically acceptable. This is not to say that all coalitions are bad by definition; they are not. The issue is: how many partners and what the minimum understanding among them are ideal to run the government? It is suggested that a large and unprincipled coalition on the one hand would debilitate a government, and on the other lead to political corruption and even blackmail. Contrarily, a smaller number of parties with some affinity in ideology and a common purpose would be beneficial for a stable democracy. To glean some insights, the United Progressive Alliance coalitions cobbled together by the Congress Party Prime Minister Manmohan Singh in 2004, and consequent to the 2009 elections, are studied here.     

Citizen's adoption intention toward contact tracing apps: An analysis using innovation resistance theory

This study explores the factors that prevent citizens from using contact tracing apps (CTA). It uses the innovation resistance theory to construct a parsimonious data analysis model. Data are collected from 440 users of CTA, and an analysis using structural equation modeling is done. Moderation analysis is performed to measure the influence of trust on the relationship between independent and dependent variables. The results reveal that privacy concerns, functional complexity, and benefit ambiguity are the main factors causing hindrance in the adoption of CTAs. The study carries implications for public authorities and technology professionals for promoting and increasing the uptake of public-oriented mass-consumption technology.     

Population studies on three Native Alaska population groups using STR loci

Allele distributions for 13 short tandem repeat (STR) loci D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, D7S820, TH01, TPOX, CSF1PO and D16S539 were determined for three Native Alaskan population groups-Athabaskans, Inupiats, and Yupiks. Although genetic diversity is lower in the Native Alaskan populations compared with Caucasians and Africans, almost all loci are highly polymorphic in all three Native Alaskan groups. There was little evidence for departures from Hardy-Weinberg expectations (HWE) in any of the populations. Only two examples of detectable departures from HWE out of 39 locus-population tests performed were observed based on the exact test (Yupik, D8S1179, P=0.030; Yupik, D5S818, P=0.016). The F(ST) estimate overall 13 STR loci is 0.0309 for the Native Alaskan populations. Based on a genetic distance measure, Athabaskans are more closely related to Apaches and Navajos (all of the same linguistic group) than the other Native Alaskan groups. The F(ST) estimate for Athabaskans, Apaches and Navajos is 0.0180 and for Inupiats and Yupiks is 0.0167. The allele frequency data can be used for estimating DNA profile frequencies for Native Americans residing in Alaska.     

Comparisons of familial DNA database searching strategies

The current familial searching strategies are generally based on either Identity-By-State (IBS) (i.e., number of shared alleles) or likelihood ratio (i.e., kinship index [KI]) assessments. In this study, the expected IBS match probabilities given relationships and the logic of the likelihood ratio method were addressed. Further, the false-positive and false-negative rates of the strategies were compared analytically or by simulations using Caucasian population data of the 13 CODIS Short Tandem Repeat (STR). IBS ≥ 15, IBS ≥ 16, KI ≥ 1000, or KI ≥ 10,000 were found to be good thresholds for balancing false-positive and false-negative rates. IBS ≥ 17 and/or KI ≥ 1,000,000 can exclude the majority of candidate profiles in the database, either related or not, and may be an initial screening option if a small candidate list is desired. Polices combining both IBS and KI can provide higher accuracy. Typing additional STRs can provide better searching performance, and lineage markers can be extremely useful for reducing false rates.     

World population data for the HLA-DQA1, PM and D1S80 loci with least and most common profile frequencies for combinations of loci estimated following NRC II guidelines

All published and unpublished gene frequency data for the PCR-based loci HLA-DQA1, LDLR, GYPA, HBGG, D7S8, GC, and D1S80 that could be located are presented in summary tables. These gene frequencies provide the data necessary for estimating probabilities of chance match according to NRC II guidelines for any DNA profile that includes any combination of these loci for any of the populations. To illustrate the range of polymorphism for combined locus profiles, least and most common profile frequencies were estimated following NRC II guidelines for: the PM loci for all populations for which PM data were available; and for combinations of HLA-DQA1/PM, HLA-DQA1/D1S80, PM/D1S80, and HLA-DQA1/ PM/D1S80 for populations for which data were available for the relevant combinations. The profile frequencies were calculated at theta values of zero and 0.01. Minimum allele frequencies (MAF) were calculated, and are shown, for each data set for which the MAF was greater than the lowest observed allele frequency. Least common profile frequencies were calculated using MAF in those cases to illustrate a conservative estimate. The effect of using MAF versus lowest observed allele frequency in estimating least common profile frequencies is briefly illustrated as well. We finally show that aggregate U.S. gene frequency data for the classical MN and GC polymorphisms for both Caucasian and African-American populations is fully in accord with the DNA-based gene frequency data obtained from PM reverse dot-blot strips for GYPA and GC, respectively.