As Vehicle-to-Everything (V2X) communication technologies gain prominence, ensuring human safety from radiofrequency (RF) electromagnetic fields (EMF) becomes paramount. This study critically examines human RF exposure in the context of ITS-5.9 GHz V2X connectivity, employing a combination of numerical dosimetry simulations and targeted experimental measurements. The focus extends across Road-Side Units (RSUs), On-Board Units (OBUs), and, notably, the advanced vehicular technologies within a Tesla Model S, which includes Bluetooth, Long Term Evolution (LTE) modules, and millimeter-wave (mmWave) radar systems. Key findings indicate that RF exposure levels for RSUs and OBUs, as well as from Tesla’s integrated technologies, consistently remain below the International Commission on Non-Ionizing Radiation Protection (ICNIRP) exposure guidelines by a significant margin. Specifically, the maximum exposure level around RSUs was observed to be 10 times lower than ICNIRP reference level, and Tesla’s mmWave radar exposure did not exceed 0.29 W/m2, well below the threshold of 10 W/m2 set for the general public. This comprehensive analysis not only corroborates the effectiveness of numerical dosimetry in accurately predicting RF exposure but also underscores the compliance of current V2X communication technologies with exposure guidelines, thereby facilitating the protective advancement of intelligent transportation systems against potential health risks.
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Background: Magnetic resonance imaging (MRI) is being used extensively in the search for pathoanatomical factors contributing to low back pain (LBP) such as Modic changes (MC). However, it remains unclear whether clinical findings can identify patients with MC. The purpose of this explorative study was to assess the predictive value of six clinical tests and three questionnaires commonly used with patients with low-back pain (LBP) on the presence of Modic changes (MC).Methods: A retrospective cohort study was performed using data from Dutch military personnel in the period between April 2013 and July 2016. Questionnaires included the Roland Morris Disability Questionnaire, Numeric Pain Rating Scale, and Pain Self-Efficacy Questionnaire. The clinical examination included (i) range of motion, (ii) presence of pain during flexion and extension, (iii) Prone Instability Test, and (iv) straight leg raise. Backward stepwise regression was used to estimate predictive value for the presence of MC and the type of MC. The exploration of clinical tests was performed by univariable logistic regression models.Results: Two hundred eighty-six patients were allocated for the study, and 112 cases with medical records and MRI scans were available; 60 cases with MC and 52 without MC. Age was significantly higher in the MC group. The univariate regression analysis showed a significantly increased odds ratio for pain during flexion movement (2.57 [95% confidence interval (CI): 1.08-6.08]) in the group with MC. Multivariable logistic regression of all clinical symptoms and signs showed no significant association for any of the variables. The diagnostic value of the clinical tests expressed by sensitivity, specificity, positive predictive, and negative predictive values showed, for all the combinations, a low area under the curve (AUC) score, ranging from 0.41 to 0.53. Single-test sensitivity was the highest for pain in flexion: 60% (95% CI: 48.3-70.4).Conclusion: No model to predict the presence of MC, based on clinical tests, could be demonstrated. It is therefore not likely that LBP patients with MC are very different from other LBP patients and that they form a specific subgroup. However, the study only explored a limited number of clinical findings and it is possible that larger samples allowing for more variables would conclude differently.
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This paper puts forward a conceptual proposition that ties the discourses on ‘urban memory’ (Stillman and Johanson, 2009; Ringas, Christopoulou, Stefanidakis., 2011; Loughran, Fine & Hunter, 2015), sensory ethnography (Pink 2017 ), and counter-mapping (Crampton and Krygier 2018; ) with digital methods (Rogers, Sánchez-Querubín, and Kil, 2015). As an ‘interventionist’ approach, we understand co-producing counter (dynamic) maps with local stakeholders (actors), coupled with sensory and sentient data as a way of capturing the memory of urban peripheral landscapes (through intervention and participation) and thus creating archival knowledge.Urban memory is often understood as a form of collective memory that isconstituted by individual experiences within the place itself and through its historyand social environment (Ringas et al., 2011). With rapid changes in digitaltechnologies, digital and material have become “inseparate and entangled inenvironments people move and navigate their lives through'' (Pink and Fors, 2017).Memories are “evoked with material engagement with devices” which “opens up afield of sensory and affective engagement” research (ibid). While Pink and Forspropose to follow such engagement in a mundane and everyday setting, seen as anon-representational, phenomenological approach, we put forward a mixedmethods approach that connects sensory and sentient data (as agents) with the largerenvironmental context.Urban areas are often conceptualized as sites of ‘creative destruction’, in between stability and change, space (that can be developed) and place (that is lived in), often subjected to planning, regulation, and economic forces (Batty, 2007). This is especially true for urban areas that are located outside of the ‘center’ or in the cities’ periphery. These areas have experienced an endless cycle of deconstruction and reconstruction often witnessed and captured by local inhabitants, creatives, and activists. Currently, many of the peripheral areas are emancipating, bringing forward and openly communicating their complexities, values, and engaging various stakeholders in their regeneration efforts (which happens in a broader context of many European cities repositioning themselves in more polycentric and polyphonic ways, (Scott, 2015).To be able to capture the memory of ever-changing, ‘built a new’ urban places, we put forward counter (dynamic) mapping using digital methods as complemented with sensory and sentient data generated through interactions with digital technologies. Building on Crampton’s notion of maps (Crampton and Krygier, 2018), cartography is understood as existence (becoming) rather than essence (fixed ontology). Maps are therefore taken not as ‘objects’, but as performative practices. Digital methods, on the other hand, enable us to understand dynamic place-making, through ‘tracing’ the stakeholders (actors) and their relations overtime to capture the ways the urban environment gets performed.To clarify with an example, in Spinoza Imaginaries Lab & Cafe situated inAmsterdam Southeast we have been capturing the ever changing urbanenvironment in partnership with local stakeholders (actors), mapping their evolvingrelationships (and grouping) using the IssueCrawler and sentient data co-gatheredby researchers and students, with the clear understanding that to be able to capturea place, it is important to map the vernacular knowledge of that place (imaginaries,including art, movies, unrealized plans and initiatives, etc.). We propose this mixedmethods approach as an epistemological practice geared towards archiving thedynamic state of urban peripheral landscapes.
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