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Reconstructing with trace information

Currently, promising new tools are under development that will enable crime scene investigators to analyze fingerprints or DNA-traces at the crime scene. While these technologies could help to find a perpetrator early in the investigation, they may also strengthen confirmation bias when an incorrect scenario directs the investigation this early. In this study, 40 experienced Crime scene investigators (CSIs) investigated a mock crime scene to study the influence of rapid identification technologies on the investigation. This initial study shows that receiving identification information during the investigation results in more accurate scenarios. CSIs in general are not as much reconstructing the event that took place, but rather have a “who done it routine.” Their focus is on finding perpetrator traces with the risk of missing important information at the start of the investigation. Furthermore, identification information was mostly integrated in their final scenarios when the results of the analysis matched their expectations. CSIs have the tendency to look for confirmation, but the technology has no influence on this tendency. CSIs should be made aware of the risks of this strategy as important offender information could be missed or innocent people could be wrongfully accused.

Additional wrapping of pieces of evidence in sterile sheets

very contact with packaging material can affect fingermarks, basically Locard’s exchange principle. Additional wrapping and stacking (multiple) of phones, can decrease the number of DP’s below the limit of identification, 12 DP’s.In conclusion, CSI officers should be aware of the possible effects of wrapping, when considering to preserve DNA traces, or fingermarks.

Family caregiver outcomes after participating in a hospital-based family involvement program after major gastrointestinal surgery

Background: Engaging families in postsurgical care is potentially beneficial for improving cancer patient outcomes and quality of care. The authors developed a family involvement program (FIP) and in this study, the authors aim to evaluate the impact of the FIP on family caregiver burden and well-being. Moreover, the authors aim to assess the fidelity of the program. Materials and methods: This is a preplanned subgroup analysis of a patient-preferred prospective cohort study that included family caregivers of patients who underwent major oncological surgery for gastrointestinal tumors. Only patient-nominated family caregivers could participate in the FIP. Caregivers received structured training in fundamental caregiving tasks from healthcare professionals and then actively participated in these tasks. Caregiver burden and well-being were measured four times (at hospital admission, at hospital discharge, and at 1 and 3 months posthospital discharge) using the Caregiver Strain Index+ (CSI+) and the Care-related Quality of Life instrument (CarerQoL-7D). The fidelity of the FIP was assessed by recording completion of care activities. In addition, family caregivers were asked whether they would participate in the FIP again. Results: Most of the 152 family caregivers were female (77.6%), and their mean age was 61.3 years (SD=11.6). Median CSI+ scores ranged between -1 and 0 and remained below the cutoff point of experiencing burden. CarerQoL-7D results indicated no significant differences in family caregivers' well-being over time. Upon discharge, over 75% of the family caregivers stated that they would recommend the FIP to others. The highest compliance with all fundamental care activities was observed during postoperative days 2-4. Conclusion: The family caregivers of oncological surgical patients who participated in the FIP exhibited acceptable levels of caregiver burden and well-being. These findings suggest that the FIP is a valuable intervention to equip family caregivers with the skills to navigate the uncertain period following a patient's hospital discharge.

Rapid DNA Technologies at the Crime Scene

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutiona Neural Network (CNN).

CSI-CSI: Comparing several investigative approaches toward crime scene improvement

Crime scene investigations are highly complex environments that require the CSI to engage in complex decision-making. CSIs must rely on personal experience, context information, and scientific knowledge about the fundamental principles of forensic science to both find and correctly interpret ambiguous traces and accurately reconstruct a scene. Differences in CSI decision making can arise in multiple stages of a crime scene investigation. Given its crucial role in forensic investigation, CSI decision-making must be further studied to understand how differences may arise during the stages of a crime scene investigation. The following exploratory research project is a first step at comparing how crime scene investigations of violent robberies are conducted between 25 crime scene investigators from nine countries across the world.Through a mock crime scene and semi-structured interview, we observed that CSIs have adopted a variety of investigation approaches. The results show that CSIs have different working strategies and make different decisions when it comes to the construction of relevant hypotheses, their search strategy, and the collection of traces. These different decisions may, amongst other factors, be due to the use of prior information, a CSI’s knowledge and experience, and the perceived goal of their investigation. We suggest the development of more practical guidelines to aid CSIs through a hypothetico-deductive reasoning process, where (a) CSIs are supported in the correct use of contextual information, (b) outside knowledge and expertise are integrated into this process, and (c) CSIs are guided in the evaluation of the utility of their traces.