During crime scene investigations, numerous traces are secured and may be used as evidence for the evaluation of source and/or activity level propositions. The rapid chemical analysis of a biological trace enables the identification of body fluids and can provide significant donor profiling information, including age, sex, drug abuse, and lifestyle. Such information can be used to provide new leads, exclude from, or restrict the list of possible suspects during the investigative phase. This paper reviews the state-of-the-art labelling techniques to identify the most suitable visual enhancer to be implemented in a lateral flow immunoassay setup for the purpose of trace identification and/or donor profiling. Upon comparison, and with reference to the strengths and limitations of each label, the simplistic one-step analysis of noncompetitive lateral flow immunoassay (LFA) together with the implementation of carbon nanoparticles (CNPs) as visual enhancers is proposed for a sensitive, accurate, and reproducible in situ trace analysis. This approach is versatile and stable over different environmental conditions and external stimuli. The findings of the present comparative analysis may have important implications for future forensic practice. The selection of an appropriate enhancer is crucial for a well-designed LFA that can be implemented at the crime scene for a time- and cost-efficient investigation.
Background: Caregiving by family members of elderly with chronic conditions is currently intensifying in the context of an aging population and health care reform in the Netherlands. It is essential that nurses have attention for supporting roles of family caregivers of older patients and address family caregiving aspects on behalf of the continuity of care. This study aims to explore what aspects of family caregiving were addressed during planned discussions between nurses, patients and family caregivers in the hospital.Methods: Qualitative descriptive research was conducted using non-participant observation and audio-recordings of planned discussions between nurses, older patients and their family caregivers as they took place in the hospital.Through purposive sampling eligible patients (≥ 65 years) with one or more chronic conditions were included. These patients were admitted to the hospital for diagnostics or due to consequences of their chronic illness.Retrospective chart review was done to obtain patient characteristics. Data were collected in November/December 2013 and April/May 2014 in four hospitals. Qualitative content analysis was performed using the inductive approachin order to gain insight into addressed aspects of family caregiving.Results: A total of 62 patients (mean age (SD) 76 years (7.2), 52% male) were included in the study, resulting in 146 planned discussions (62 admission and discharge discussions and 22 family meetings). Three themes were identifiedregarding addressed aspects of family caregiving. Two themes referred to aspects addressing the patients’ social network, and included ‘social network structure’ and ‘social network support’. One theme referred to aspectsaddressing coordination of care issues involving family caregiving, referred to as ‘coordination of care’.Conclusions: During discussions nurses mostly addressed practical information on the patients’ social network structure. When specific family caregiving support was addressed, information was limited and nurses did not seem toexplore the nature of the family support. Patients discharge and after care needs were addressed occasionally as aspects of coordination of care. Current nursing policies could be evaluated on nursing and family oriented theories.Implications for education could include mirroring study findings with nurses in a group discussion to enhance their awareness on family caregiving aspects.
The aim of this research is to explore the potential of Mixed Reality (MR) technologies for Operator Support in order to progress towards Industry 4.0 (I4.0) particularly for SMEs. Through a series of interventions and interviews conducted with local SMEs, potential use cases and their drawbacks have been identified. From this, insights were derived that serve as a starting point for conducting further experiments with MR technology in the smart manufacturing laboratory at the THUAS in Delft. The intervention consisted of a free form workshop in which the participants get ‘tinkering’ time to explore MR in their own work environment. The various levels of awareness were assessed in three stages: during an introductory interview, and after an instruction meeting and some ‘tinkering’. The study took place in the period from January 2022 to July 2022 with 10 local SMEs in the Netherlands. The results show that for all SMEs the awareness and understanding increased. The use cases identified by operators themselves concerned Quality Control, Diagnostics, Instruction, Specification and Improvement of Operations. Drawbacks foreseen related to Ergonomic Concerns, Resistance from operators, Technical considerations, Unavailability of MR device and an insufficient digital infrastructure to support MR in full extent. The use case most promising to the participants was further developed into a physical prototype for an ‘assisted assembly cell’ by which the aspects of ergonomics and the mentioned technical considerations could be analysed.
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