Searching for Autonomy before the Transition to Higher Education: How do Identity and Self-Determined Academic Motivation Co-Evolve?

Identity and academic motivation are particularly at stake before the major transition to higher education. However, few studies have explored their changes and their longitudinal bidirectional links. To fill this gap, a three-wave study from the end of the 11th grade to the end of the 12th grade was conducted to explore changes in identity processes and academic motivation and to investigate how they might be interconnected over time. 599 adolescents (mean age 17.4; 59% girls) completed questionnaires containing measures about identity processes and three types of academic motivation: autonomous, controlled, and impersonal. Throughout the study span of one year, four identity processes increased: commitment making, identification with commitment, exploration in breadth and exploration in depth, while the process of ruminative exploration decreased. Simultaneously, late adolescents encountered an increase in impersonal motivation, more salient for boys. The results also revealed unidirectional links from motivation to identity processes, with no gender or age moderator effects: exploration in breadth and exploration in depth were positively predicted by autonomous motivation, ruminative exploration was positively predicted by autonomous, controlled, and impersonal motivation. In addition, impersonal motivation negatively predicted commitment making. On the other hand, identification with commitment positively predicted autonomous motivation. Practical implications are discussed.

     

Patterns of Young Adult Social Roles Transitions Across 24 Months and Subsequent Substance Use and Mental Health

Journal of Youth and Adolescence - Young adults experience social role transitions across multiple life domains, and a deeper understanding of the ways in which these simultaneous transition...     

The Prospective Impact of Family Functioning and Parenting Practices on Court-Involved Youth’s Substance Use and Delinquent Behavior

Journal of Youth and Adolescence - Court-involved youth exhibit high rates of psychiatric symptoms, substance use, and delinquency, yet little is known about the contributing roles of caregiver and...     

Evaluating Bioinformatic Pipeline Performance for Forensic Microbiome Analysis*,†,‡

Microbial communities have potential evidential utility for forensic applications. However, bioinformatic analysis of high-throughput sequencing data varies widely among laboratories. These differences can potentially affect microbial community composition and downstream analyses. To illustrate the importance of standardizing methodology, we compared analyses of postmortem microbiome samples using several bioinformatic pipelines, varying minimum library size or minimum number of sequences per sample, and sample size. Using the same input sequence data, we found that three open-source bioinformatic pipelines, MG-RAST, mothur, and QIIME2, had significant differences in relative abundance, alpha-diversity, and beta-diversity, despite the same input data. Increasing minimum library size and sample size increased the number of low-abundant and infrequent taxa detected. Our results show that bioinformatic pipeline and parameter choice affect results in important ways. Given the growing potential application of forensic microbiology to the criminal justice system, continued research on standardizing computational methodology will be important for downstream applications.     

Further Pseudo-Operational Trials with the Lumicyano Double- and Co-Fuming Process for the Detection of Latent Fingermarks

This study presents a number of pseudo-operational trials on plastic bags investigating the double- and co-fuming process of a one-step fluorescent cyanoacrylate (Lumicyano^TM) in comparisons with the two-step process with basic yellow 40 (BY40) staining for the detection of latent fingermarks. The results demonstrate that both Lumicyano solution and dye contribute to the increased detection of latent fingermarks during the double-fuming process (trial 1). Co-fuming the Lumicyano solution and dye separately (at a concentration of 8%) but simultaneously was less effective than 8% Lumicyano (trial 2). Co-fuming Lumicyano 8% and an additional 8% Lumicyano dye by weight was more effective than Lumicyano 8% (trial 3), possibly due to increased fluorescent material deposition during co-fuming allowing for better visualization. The use of BY40 after Lumicyano resulted in a considerable increase in detected fingermarks.     

Sample Mining and Data Mining: Combined Real-Time and Retrospective Approaches for the Identification of Emerging Novel Psychoactive Substances

Novel psychoactive substances (NPS) are synthetic drugs that pose serious public health and safety concerns. A multitude of NPS have been identified in the United States, often implicated in forensic investigations. The most common and effective manner for identifying NPS is by use of mass spectrometry and the true utility lies within nontargeted acquisition techniques. During this study, a liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) assay was developed, validated, and implemented for forensic toxicology testing. A SCIEX TripleTOF™ 5600 + with SWATH^® acquisition was used. Resulting data were compared against an extensive library database containing more than 800 compounds. The LC-QTOF-MS assay was applied to the reanalysis of biological sample extracts to discover emergent NPS. More than 3,000 sample extracts were analyzed, and more than 20 emerging NPS were detected for the first time. Among these were isopropyl-U-47700, 3,4-methylenedioxy-U-47700, fluorofuranylfentanyl, N-methyl norfentanyl, 2F-deschloroketamine, 3,4-methylenedioxy-alpha-PHP, eutylone, and N-ethyl hexedrone.     

School punishment and interpersonal exclusion: Rejection,withdrawal, and separation from friends

School suspension is a common form of punishment in the United States that is disproportionately concentrated among racial minority and disadvantaged youth. In labeling theories, the implication is that such stigmatized sanctions may lead to interpersonal exclusion from normative others and to greater involvement with antisocial peers. I test this implication in the context of rural schools by 1) examining the association between suspension and discontinuity in same-grade friendship ties, focusing on three mechanisms implied in labeling theories: rejection, withdrawal, and physical separation; 2) testing the association between suspension and increased involvement with antisocial peers; and (3) assessing whether these associations are stronger in smaller schools. Consistent with labeling theories, I find suspension associated with greater discontinuity in friendship ties, based on changes in the respondents’ friendship preferences and self-reports of their peers. My findings are also consistent with changes in perceptual measures of exclusion. Additionally, I find suspension associated with greater involvement with substance-using peers. Some but not all of these associations are stronger in smaller rural schools. Given the disproportionate distribution of suspension, my findings indicate that an excessive reliance on this exclusionary form of punishment may foster inequality among these youth.     

Empirical Evaluation of the Reliability of Photogrammetry Software in the Recovery of Three-Dimensional Footwear Impressions

This paper examines the reliability of Structure from Motion (SfM) photogrammetry as a tool in the capture of forensic footwear marks. This is applicable to photogrammetry freeware DigTrace but is equally relevant to other SfM solutions. SfM simply requires a digital camera, a scale bar, and a selection of oblique photographs of the trace in question taken at the scene. The output is a digital three-dimensional point cloud of the surface and any plastic trace thereon. The first section of this paper examines the reliability of photogrammetry to capture the same data when repeatedly used on one impression, while the second part assesses the impact of varying cameras. Using cloud to cloud comparisons that measure the distance between two-point clouds, we assess the variability between models. The results highlight how little variability is evident and therefore speak to the accuracy and consistency of such techniques in the capture of three-dimensional traces. Using this method, 3D footwear impressions can, in many substrates, be collected with a repeatability of 97% with any variation between models less than ~0.5 mm.     

A scientometric analysis of knowledge spillover research

The Journal of Technology Transfer - This paper explores current trends in knowledge spillover research using scientometric analysis of all papers published in journals indexed in the Web of...