Use of DNA polymorphism in forensic paternity evaluation

Problematical paternity cases were additionally subjected to DNA-polymorphism analysis. 5 cases are reported, focusing on problems due to, 'silent' allele transmittance, relatively low probability for paternity, obvious occurrence of the extremely rare Rh gene complex CWc, involvement of brothers as putative fathers, non-paternity of a man although his W-value was 99.975%. The aim of this paper is to demonstrate the need for DNA-polymorphism analysis, if conventional blood group tests do not lead to a clear-cut decision. Extended typing of conventional blood group polymorphisms (except HLA) cannot compete with highly polymorphic DNA loci.     

Rapid and non-destructive approach for characterization and differentiation of sealing wax using ATR-FTIR spectroscopy

Sealing wax is used for maintaining the integrity and authenticity of a document or physical evidence. Any tampering with the seal calls into question the overall integrity and authenticity of the tangible evidence or document. In these circumstances, determining the authenticity of the sealing material (physical and chemical) becomes imperative. In this study, ATR-FTIR spectroscopy supported by chemometrics has been used to differentiate sealing wax samples belonging to 12 different brands available across India. All the samples were first melted, cooled, and then analyzed using ATR-FTIR spectroscopy in the mid-infrared region (4000–600 cm⁻¹). The obtained spectra were first examined visually for the presence of different functional groups. Principal component analysis (PCA) and principal component analysis-linear discriminant analysis (PCA-LDA) were employed to analyze the sample clustering patterns and to categorize them into their respective groups, respectively. For classification, a PCA-LDA training model was applied, and it demonstrated 95.83% accuracy. The validation test resulted in an accuracy of 83.33%. PCA-LDA model offered 100% accurate prediction for samples on various substrates, including cloth, cardboard, and paper. A blind study was also performed using five unknown samples, which were accurately classified into their respective groups. PCA-LDA model will be helpful in providing investigative leads by linking a questioned sealing wax sample with its respective group.     

Key Risk Factors for Relapse and Rearrest Among Substance Use Treatment Patients Involved in the Criminal Justice System

Substance use treatment programs for criminal justice populations have great potential for crime reduction, if they can effectively manage patients’ risk for relapse and rearrest. The current study used data drawn from the Comprehensive Assessment and Treatment Outcome Research (CATOR) system, a national registry of substance use treatment programs, which collected patient outcome data at 6- and 12-month intervals following discharge from treatment. The primary objective was to examine sets of factors that may compromise relapse and rearrest outcomes among patients who were court mandated to participate in treatment. Findings demonstrated that patients’ clinical severity of substance use was associated with relapse, which also significantly increased the probability of post-treatment arrest. Adolescent risk behaviors represented another set of risk factors, particularly among patients who experienced the most severe pattern of relapse and arrest outcomes. Additionally, demographic risk factors, including age, marital status (i.e., single or unmarried relative to married), employment (i.e., being unemployed compared to employed), and lower educational attainment were consistently linked to higher probabilities of relapse and rearrest. Treatment programs for criminal justice populations should consider incorporating appropriate clinical risk assessment measures, behavioral risk assessments, and appropriate employment interventions into standard treatment programming in an effort to improve outcomes.     

Predictors of re-offending in German substance-abusers in legal detention: a prospective population-based cohort study

This study aimed to evaluate whether the elapsed time after release to first re-offense is longer for those who complete coerced forensic addiction treatment than for those who fail to complete the treatment. It is also aimed to identify predictors of re-offending for both those who complete such treatments as compared with those who do not. Two hundred and sixty-one patients discharged from five German forensic addiction clinics were investigated on 65 anamnestic, socio-demographic, and therapeutic process variables. One hundred and fifty-one patients were prematurely discharged and returned to prison (group A; time at risk [TAR] = 58.7 months), 110 finished treatment successfully (group B; TAR = 44.2 months). Federal Criminal Register data were used for follow-up. Univariate survival analyses and multivariate stepwise Cox-regression models were computed. Twelve predictors in group A revealed a four-factor model: age at admission to treatment, duration of concurrent prison sentence, number of entries in the criminal register, and attendance at prior substitution programs. The model for group B covered five out of eight predictors: regular working activities before first diagnosis of mental illness, type of main offense, (secondary) traffic offenses, outpatient rehabilitation treatments, and escapes during treatment. Successful completers of forensic addiction treatment are slower to re-offend than non-completers.