Derrida,Semiotics and Justice

In this essay, one of Derrida’s early texts, Plato’s pharmacy, is analysed in detail, more specifically in relation to its reflections on writing and its relation to law. This analysis takes place with reference to a number of Derrida’s other texts, in particular those on Freud. It is especially Freud’s texts on dream interpretation and on the dream-work which are of assistance in understanding the background to Derrida’s analysis of writing in Plato’s pharmacy. The essay shows the close relation between Derrida’s analysis of Plato’s texts and Freud’s study of the dream-work. The forces at work in dreams, it appears, are at play in all texts, which in turn explains Derrida’s contentions in relation to the pharmakon as providing the condition of possibility of Plato’s texts. The essay furthermore points to the continuity between this ‘early’ text of Derrida and his ‘later’, seemingly more politico-legal texts of the 1990s. A close reading of Plato’s pharmacy, with its investigation via ‘writing’ of the foundations of metaphysics, and thus also of the Western concept of law, is obligatory should one wish to comprehend how Derrida attempts to exceed the restricted economy of metaphysics through his analysis of concepts such as justice and hospitality.     

A X-chromosome STR hexaplex as a powerful tool in deficiency paternity cases

The X-chromosome short tandem repeat (STR) markers have been described as very adequate tools for solving deficiency paternity cases and kinship tests when women are involved. In the absence of the alleged father, presumed paternal relationship can be more efficiently investigated by using a set of six to ten X-STR markers compared to fifteen autosomal STR. For this study, we compared the usefulness of a X-STR hexaplex developed in our laboratory (DXS7133, DXS7424, DXS8378, DXS6807, DXS7423 and DXS8377) and the commercial kit Identifiler in solving deficiency paternities. We have worked on distinct groups of caseworks involving daughters, their mothers and presumed paternal grandmothers or putative half sisters and their respective mothers. The PCR products were separated by capillary electrophoresis and detected in an ABI Prism 3100. In the majority of the caseworks (>90%), the likelihood ratio (LR) obtained by using the X-STR hexaplex was higher than the LR value observed when the Identifiler kit was used for genotyping. The combination of the two STR typing systems was able to solve all the cases.     

Tri-allelic SNP markers enable analysis of mixed and degraded DNA samples

For the analysis of degraded DNA in disaster victim identification (DVI) and criminal investigations, single nucleotide polymorphisms (SNPs) have been recognized as promising markers mainly because they can be analyzed in short sized amplicons. Most SNPs are bi-allelic and are thereby ineffective to detect mixtures, which may lead to incorrect genotyping. We developed an algorithm to find non-binary (i.e. tri-allelic or tetra-allelic) SNPs in the NCBI dbSNP database. We selected 31 potential tri-allelic SNPs with a minor allele frequency of at least 10%. The tri-allelic nature was confirmed for 15 SNPs residing on 14 different chromosomes. Multiplex SNaPshot™ assays were developed, and the allele frequencies of 16 SNPs were determined among 153 Dutch and 111 Netherlands Antilles reference samples. Using these multiplex SNP assays, the presence of a mixture of two DNA samples in a ratio up to 1:8 could be recognized reliably. Furthermore, we compared the genotyping efficiency of the tri-allelic SNP markers and short tandem repeat (STR) markers by analyzing artificially degraded DNA and DNA from 30 approximately 500-year-old bone and molar samples. In both types of degraded DNA samples, the larger sized STR amplicons failed to amplify whereas the tri-allelic SNP markers still provided valuable information. In conclusion, tri-allelic SNP markers are suited for the analysis of degraded DNA and enable the detection of a second DNA source in a sample.     

15 STR loci frequencies in the population from Santa Catarina, Southern Brazil

Allele frequencies for 15 short tandem repeats (STR) loci were determined with a sample of 3000 unrelated individuals from the population of Santa Catarina, Southern Brazil. The loci are most commonly used in forensic and paternity testing, being analyzed by the Powerplex 16 (Promega) commercial kit. The data shows that most polymorphic loci were Penta E and FGA. The distributions of the genotypes in the evaluated loci are in Hardy–Weinberg equilibrium. Comparative analyses between our population data and other Brazilian populations are presented. The calculated forensic parameters showed that the loci are useful for the solution of forensic problems in Brazilian Southern region.     

“The big sleep: Elucidating the sequence of events in the first hours of death to determine the postmortem interval”

Recent developments on postmortem interval estimation (PMI) take an advantage of the autolysis process, pointing out to the analysis of the expression of apoptosis and autophagy genes towards this purpose. Oxidative stress plays a role in this signaling as a regulatory mechanism and/or as a consequence of cell death. Additionally, melatonin has been implicated on apoptosis and autophagy signaling, making melatonin a suitable target for PMI determination. The aim of this study was to investigate the early PMI through the analysis of the expression of autophagy genes as well as oxidative stress and melatonin receptor. Our results demonstrated a rapidly increased on the expression of autophagy genes according to the expected sequence of events, then a marked decrease in this expression, matched with the switch to the apoptosis signaling. These results revealed potential candidates to analyze the PMI in the first hours of death, helping to estimate the time-since-death.     

High‐Resolution Melting (HRM) of Hypervariable Mitochondrial DNA Regions for Forensic Science

Forensic strategies commonly are proceeding by analysis of short tandem repeats (STRs); however, new additional strategies have been proposed for forensic science. Thus, this article standardized the high‐resolution melting (HRM) of DNA for forensic analyzes. For HRM, mitochondrial DNA (mtDNA) from eight individuals were extracted from mucosa swabs by DNAzol reagent, samples were amplified by PCR and submitted to HRM analysis to identify differences in hypervariable (HV) regions I and II. To confirm HRM, all PCR products were DNA sequencing. The data suggest that is possible discriminate DNA from different samples by HRM curves. Also, uncommon dual‐dissociation was identified in a single PCR product, increasing HRM analyzes by evaluation of melting peaks. Thus, HRM is accurate and useful to screening small differences in HVI and HVII regions from mtDNA and increase the efficiency of laboratory routines based on forensic genetics.     

Extraction and isolation of cannabinoids from marijuana seizures and characterization by 1H NMR allied to chemometric tools

Marijuana, a drug derived from the Cannabis sativa L. plant, is the world's most consumed illicit drug. In this paper, a total of 156 marijuana samples seized in the state of Espírito Santo (ES), Brazil were studied and analysed by proton nuclear magnetic resonance (¹H NMR) spectroscopy to identify the major cannabinoids present. A crude extract of all samples was purified using high performance liquid chromatography so that these compounds could serve as reference substances. Nine fractions were obtained and analysed by ¹H NMR and gas chromatography–mass spectrometry (GC–MS), with five presented cannabinoids. ?⁹-THC (Δ⁹-trans-tetrahydrocannabinol), ?⁹-THCA (?⁹-tetrahydrocannabinolic acid), ?⁸-THC (?⁸-tetrahydrocannabinol), 11-hydroxycannabinol, CBV (cannabivarin), and CBN (cannabinol) were found, and their chemical structures were confirmed by GC–MS. The latter compound was obtained with high purity (≈100%), while the others were obtained as less complex mixtures with purity higher than 75% (except for Δ⁸-THC). Principal component analysis (PCA) was used on the ¹H NMR spectra of the 156 samples, and it was found that the samples were grouped according to the months, differentiating into two groups (from July 2014 to January 2015 and from February 2015 to July 2015), where non-grouping was observed from four macro-regions of the ES state (North, Central, Metropolitan, and South). The chemical profile of the seized samples was correlated to the ¹H NMR spectrum of an isolated CBN sub-fraction, in which the group formed by samples seized in the year 2015 presented lower CBN content in the chemical composition. From the PCA score plot, two groups of samples were confirmed using the partial least squares discriminant analysis and orthogonal projections to latent structures classification methods.     

Time series robustness checks to test the effects of the 1996 Australian firearm law on cause-specific mortality

Objectives

Many studies utilize time series methods to identify causal effects without accounting for an underlying time trend. We show that accounting for trends changes the conclusions in the study of Chapman et al. (JAMA, 316(3), 291–299, 2016), who evaluated the impact of the Australian firearm law in 1996. We also introduce a new empirical method that tests whether their empirical strategy can actually identify a causal effect that is also useful for panel analyses.

Methods

We use national data from the Australian Bureau of Statistics, assembled in annual counts of: total firearm deaths, firearm suicides, and firearm homicides. These data are used in an independent re-analysis of the impact of the 1996 Australian firearm law that accounts for underlying stochastic trends. We then estimate a series of artificially created interruptions using interrupted times series analysis in a time frame before 1996, to test for changes in the slope of mortality across several years prior to the actual regulatory changes. This tests whether the empirical model produces effects in years other than the year of the intervention, thereby testing if the results can simply be replicated at random using other interruption years.

Results

Controlling for stochastic trends produces less statistical evidence of the impact of the firearm law on firearm mortality than previously reported by Chapman et al. (JAMA, 316(3), 291–299, 2016). Introducing artificial interruptions in 1990 through 1995 produces statistically significant decreases in all firearm-related mortality measures well above the expected type 1 error. Overall, 19 out of the 36 artificial interruption models we tested were found to be statistically significant, suggesting that the empirical model can be implemented in multiple non-intervention years with results similar to the true 1996 interruption year.

Conclusions

Current evidence showing decreases in firearm mortality after the 1996 Australian national firearm law relies on an empirical model that may have limited ability to identify the true effects of the law.

     

Recent Work on Punishment and Criminogenic Disadvantage

In the 1970s and 1980s, a handful of legal theorists addressed the problem of criminal justice for offenders who faced criminogenic social disadvantages. Their discussions were provocative but alternatively unpersuasive and underdeveloped. More recently, in the wake of mass incarceration in America, philosophers have put forth new analyses that make important headway but remain scattered, partial, and in need of a systematic and integrated review. In this article, I reconstruct and critique the most prominent and well-developed explanations yet offered of the distinctive moral problems that offenders’ criminogenic social disadvantages may pose for criminal justice. I conclude that some views are misguided, others are unduly limited, and one – based on the ideals of fair opportunity to avoid crime and punishment – is particularly promising but as yet underdeveloped.