Access of West Michigan: Promoting Food Equity through Storytelling

Personal accounts addressing real-life experiences are a testament to humanity, and allow future generations to act and improve upon them. Currently, large cities are facing malnutrition and are often labeled “food deserts” (Walker et al., 2012). While restaurants and convenient stores are bountiful in large cities, the variety of food they offer is not. Access of West Michigan is an organization providing workshops, simulations, and programs to educate the general public on the importance of health and nutrition. In the present paper, we address the challenge to further educate and inspire community members to get involved and allow Access to provide to those who need it, the access to healthy, nutritious food. A montage of testimonies from participants or staff members alike will demonstrate Access of West Michigan’s successful aid, as well as a glimpse of real, true-life experiences of fellow community members. Future consideration should further implement the goal of said testimonies by conducting live interviews or hosting a poverty simulation at a local institution

Visualisation of hard drive content to support archival processes for personal digital archives

This research explores visualisation of data for working with personal digital archives (PDA). Large scale PDAs, comprising content from several personal hard disk drive images, are not receptive to ‘open the box and take a look’ approaches to appraisal traditionally adopted by analogue archives. By employing a Sunburst visualisation to represent file directory structures, this paper demonstrates that it is possible to gain an ‘at a glance’ comprehension of content organisation and date distribution, whilst concurrently allowing for the dynamic and interactive exploration of information such as usage patterns, content metadata and original order relevant to archival appraisal processes

Regulation of stanniocalcin-1 secretion by BeWo cells and first trimester human placental tissue from normal pregnancies and those at increased risk of developing preeclampsia.

Stanniocalcin-1 (STC-1) is a multi-functional glycosylated peptide present in the plasma of healthy women postpartum and increased further in pregnancies complicated by preeclampsia. Although the STC-1 gene is expressed by the placenta what regulates its secretion and from which cells at the feto-maternal interface is unknown. Here, we demonstrate for the first time that the syncytiotrophoblast and cytotrophoblast are a major site of STC-1 protein expression in first trimester placental tissue. Further, in response to low oxygen, first trimester chorionic villous tissue from pregnancies at increased risk of developing preeclampsia secreted significantly more STC-1 than normal tissue under the same conditions. Using the human trophoblast cell line BeWo we have shown that low oxygen increased the secretion of STC-1 but it required co-stimulation with the Adenosine-3', 5'-cyclic monophosphate (cAMP) analogue, 8-Bromo adenosine-3', 5'-cyclic monophosphate cAMP (8 Br-cAMP) to reach significance. Inhibition of Hypoxia inducible factor 2α (HIF-2α) and the Phosphatidylinositol-3 kinase (PI3 -Kinase)/AKT/Serum and glucocorticoid-induced kinase-1(SGK-1) pathway resulted in significant inhibition of STC-1 secretion. As both low oxygen and cAMP are known to play a central role in placental function, their regulation of STC-1 points to a potentially important role in the maintenance of a normal healthy pregnancy and we would hypothesize that it may act to protect against prolonged placental hypoxia seen in preeclampsia

Leveraging digital forensics and data exploration to understand the creative work of a filmmaker: a case study of Stephen Dwoskin’s digital archive

This paper aims to establish digital forensics and data exploration as a methodology for supporting archival practice and research into a filmmaker's creative processes. We approach this by exploring the digital legacy hard drives of the late artist Stephen Dwoskin (1939-2012), who is recognised as an influential filmmaker at the forefront of the shift from analogue to digital film production. The research findings of this case study show that digital forensics is effective in extracting a timeline of hard drive activities, data that can be explored to reveal clues about the artist’s personal/professional history, stages of creative processes, and technical environment. The paper further demonstrates how this is related to current thinking around user-centred archival workflow and understanding of creative processes. The broader impact of the work for advancing digital archiving and research into creative processes is highlighted, concluding with a discussion of how, going forward, the approach can be coupled with deeper content analysis to reveal what influences editing choices taking place over time

White-Matter Pathways for Statistical Learning of Temporal Structures.

Extracting the statistics of event streams in natural environments is critical for interpreting current events and predicting future ones. The brain is known to rapidly find structure and meaning in unfamiliar streams of sensory experience, often by mere exposure to the environment (i.e., without explicit feedback). Yet, we know little about the brain pathways that support this type of statistical learning. Here, we test whether changes in white-matter (WM) connectivity due to training relate to our ability to extract temporal regularities. By combining behavioral training and diffusion tensor imaging (DTI), we demonstrate that humans adapt to the environment's statistics as they change over time from simple repetition to probabilistic combinations. In particular, we show that learning relates to the decision strategy that individuals adopt when extracting temporal statistics. We next test for learning-dependent changes in WM connectivity and ask whether they relate to individual variability in decision strategy. Our DTI results provide evidence for dissociable WM pathways that relate to individual strategy: extracting the exact sequence statistics (i.e., matching) relates to connectivity changes between caudate and hippocampus, while selecting the most probable outcomes in a given context (i.e., maximizing) relates to connectivity changes between prefrontal, cingulate and basal ganglia (caudate, putamen) regions. Thus, our findings provide evidence for distinct cortico-striatal circuits that show learning-dependent changes of WM connectivity and support individual ability to learn behaviorally-relevant statistics

A protocol for ultra-high field laminar fMRI in the human brain.

Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculature-related confounders to improve the spatial accuracy of the fMRI signal. For complete details on the use and execution of this protocol, please refer to Jia et al. (2020) and Zamboni et al. (2020).This work was supported by grants to Z.K. from the Biotechnology and Biological Sciences Research Council (H012508 and BB/P021255/1), the Wellcome Trust (205067/Z/16/Z) and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 840271

A protocol for ultra-high field laminar fMRI in the human brain.

Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculature-related confounders to improve the spatial accuracy of the fMRI signal. For complete details on the use and execution of this protocol, please refer to Jia et al. (2020) and Zamboni et al. (2020).This work was supported by grants to Z.K. from the Biotechnology and Biological Sciences Research Council (H012508 and BB/P021255/1), the Wellcome Trust (205067/Z/16/Z) and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 840271

Recurrent Processing Drives Perceptual Plasticity.

Learning and experience are critical for translating ambiguous sensory information from our environments to perceptual decisions. Yet evidence on how training molds the adult human brain remains controversial, as fMRI at standard resolution does not allow us to discern the finer scale mechanisms that underlie sensory plasticity. Here, we combine ultra-high-field (7T) functional imaging at sub-millimeter resolution with orientation discrimination training to interrogate experience-dependent plasticity across cortical depths that are known to support dissociable brain computations. We demonstrate that learning alters orientation-specific representations in superficial rather than middle or deeper V1 layers, consistent with recurrent plasticity mechanisms via horizontal connections. Further, learning increases feedforward rather than feedback layer-to-layer connectivity in occipito-parietal regions, suggesting that sensory plasticity gates perceptual decisions. Our findings reveal finer scale plasticity mechanisms that re-weight sensory signals to inform improved decisions, bridging the gap between micro- and macro-circuits of experience-dependent plasticity

Dataset for Pilot Randomized Trial to Reduce Urinary Bisphenols in Women With Obesity

Background: Bisphenol exposure is widespread and correlated with diabetes and cardiovascular disease. Previous intervention studies have effectively lowered bisphenol exposure among women of normal-weight. The purpose of this pilot study was to test the hypothesis that a 3-week bisphenol intervention would decrease urinary bisphenol A (BPA) bisphenol S (BPS), and bisphenol F (BPF) in women with obesity. Methods: Thirty women with obesity (31.1 ± 5.6 kg/m2, 21.1 ± 3.1 yrs) were randomly assigned to an intervention or control. The intervention included weekly face-to-face meetings to reduce bisphenol exposures from food, cosmetics, and packaged products. Fasting urinary bisphenols, creatinine, and weight were assessed at study entry and after 3-weeks. Results: From study entry to 3-weeks, there was a significant treatment x time (P0.05) effects on creatinine-corrected urinary BPA, BPF, and weight. Conclusion: In women with obesity, a 3-week intervention decreased urinary BPS concentrations. Future large-scale clinical trials are needed to confirm these result and determine whether intervention reductions in bisphenols positively impact diabetes and cardiovascular disease risk markers