Young People’s Narratives of Media and Identity: Mediagraphy as Identity Work in Upper Secondary School

The article explores how upper secondary students use the learning activity mediagraphy to reflect on their identity and on media as constraining and enabling factors in their social practice. In mediagraphy, the students research four generations of their own families, including themselves. They write a mediagraphy essay on the differences and similarities across the generations in media use and turning points in individuals’ lives, in addition to societal and media-related developments. Data from student products and interviews are analysed through three “identity dilemmas” that any identity claim faces: the constant navigation between 1) continuity and change, 2) sameness and difference with regard to others, and 3) agency as “person-to-world” and “world-to-person”. The findings suggest that mediagraphy is a type of identity work that can potentially help students develop an agentive identity in a time of insecurity, with rapidly shifting social and cultural conditions and increasing media density. Keywords: mediagraphy, identity, agency, media use, media education, media literacyAttribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0

RELIABILITY OF DIFFERENT METHODS OF DETERMINING INDIVIDUAL INTER-STROKE INTERVALS IN SPRINT KAYAKING

The purpose of this study was to explore the reliability of methods for rapidly determining inter-stroke intervals (ISI) of individual kayakers. One participant performed two 150 m trials at a rate of 80 single-strokes/min. ISI were calculated using two criterion measures, visual identification of blade immersion (VID) and peaks in longitudinal acceleration of the kayak hull (ACC). These were compared to ISI from peak footrest force (FRP), initiation of footrest force (FRT), paddle Y axis rotational velocity (PAP) and paddle X axis acceleration (PAA). Least products regression analysis (LPR) revealed that FRP showed the highest reliability, with no fixed or proportional bias compared to VID or ACC. High ISI during the initial strokes influenced the results of the LPR, as such a framework for investigating the reliability of ISI using LPR is suggested where the initial strokes are removed prior to analysis

Automated face recognition using deep neural networks produces robust primate social networks and sociality measures

Longitudinal video archives of behaviour are crucial for examining how sociality shifts over the lifespan in wild animals. New approaches adopting computer vision technology hold serious potential to capture interactions and associations between individuals in video at large scale; however, such approaches need a priori validation, as methods of sampling and defining edges for social networks can substantially impact results.Here, we apply a deep learning face recognition model to generate association networks of wild chimpanzees using 17 years of a video archive from Bossou, Guinea. Using 7 million detections from 100 h of video footage, we examined how varying the size of fixed temporal windows (i.e. aggregation rates) for defining edges impact individual-level gregariousness scores.The highest and lowest aggregation rates produced divergent values, indicating that different rates of aggregation capture different association patterns. To avoid any potential bias from false positives and negatives from automated detection, an intermediate aggregation rate should be used to reduce error across multiple variables. Individual-level network-derived traits were highly repeatable, indicating strong inter-individual variation in association patterns across years and highlighting the reliability of the method to capture consistent individual-level patterns of sociality over time. We found no reliable effects of age and sex on social behaviour and despite a significant drop in population size over the study period, individual estimates of gregariousness remained stable over time.We believe that our automated framework will be of broad utility to ethology and conservation, enabling the investigation of animal social behaviour from video footage at large scale, low cost and high reproducibility. We explore the implications of our findings for understanding variation in sociality patterns in wild ape populations. Furthermore, we examine the trade-offs involved in using face recognition technology to generate social networks and sociality measures. Finally, we outline the steps for the broader deployment of this technology for analysis of large-scale datasets in ecology and evolution.info:eu-repo/semantics/publishedVersio

Transcriptional memory-like imprints and enhanced functional activity in gamma delta T cells following resolution of malaria infection

Gamma delta T cells play an essential role in the immune response to many pathogens, including Plasmodium. However, long-lasting effects of infection on the gamma delta T cell population still remain inadequately understood. This study focused on assessing molecular and functional changes that persist in the gamma delta T cell population following resolution of malaria infection. We investigated transcriptional changes and memory-like functional capacity of malaria pre-exposed gamma delta T cells using a Plasmodium chabaudi infection model. We show that multiple genes associated with effector function (chemokines, cytokines and cytotoxicity) and antigen-presentation were upregulated in P. chabaudi-exposed gamma delta T cells compared to gamma delta T cells from naive mice. This transcriptional profile was positively correlated with profiles observed in conventional memory CD8(+) T cells and was accompanied by enhanced reactivation upon secondary encounter with Plasmodium-infected red blood cells in vitro. Collectively our data demonstrate that Plasmodium exposure result in "memory-like imprints" in the gamma delta T cell population and also promotes gamma delta T cells that can support antigen-presentation during subsequent infections

When does hate hurt the most? Generational differences in the association between ethnic and racial harassment, ethnic attachment, and mental health

Using data from Understanding Society, this paper provides a comprehensive account of the associations between ethnic and racial harassment (ERH), mental health and ethnic attachment for ethnic minorities living in England. We find an association between ERH and poor mental health measured using GHQ for ethnic minorities, even after controlling for a rich array of individual and area level characteristics. We find that ethnic attachment, measured as ethnic identity and co-ethnic friendship ties, moderates this association but solely for UK born ethnic minorities. In contrast to previous research, we further find that living in areas of high co-ethnic concentration appears to exacerbate the association between ERH and mental ill-health

Mutant p53R270H drives altered metabolism and increased invasion in pancreatic ductal adenocarcinoma

Pancreatic cancer is characterized by nearly universal activating mutations in KRAS. Among other somatic mutations, TP53 is mutated in more than 75% of human pancreatic tumors. Genetically engineered mice have proven instrumental in studies of the contribution of individual genes to carcinogenesis. Oncogenic Kras mutations occur early during pancreatic carcinogenesis and are considered an initiating event. In contrast, mutations in p53 occur later during tumor progression. In our model, we recapitulated the order of mutations of the human disease, with p53 mutation following expression of oncogenic Kras. Further, using an inducible and reversible expression allele for mutant p53, we inactivated its expression at different stages of carcinogenesis. Notably, the function of mutant p53 changes at different stages of carcinogenesis. Our work establishes a requirement for mutant p53 for the formation and maintenance of pancreatic cancer precursor lesions. In tumors, mutant p53 becomes dispensable for growth. However, it maintains the altered metabolism that characterizes pancreatic cancer and mediates its malignant potential. Further, mutant p53 promotes epithelial-mesenchymal transition (EMT) and cancer cell invasion. This work generates new mouse models that mimic human pancreatic cancer and expands our understanding of the role of p53 mutation, common in the majority of human malignancies

Novel critical exponent of magnetization curves near the ferromagnetic quantum phase transitions of Sr1-xAxRuO3 (A = Ca, La0.5Na0.5, and La)

We report a novel critical exponent delta=3/2 of magnetization curves M=H^{1/delta} near the ferromagnetic quantum phase transitions of Sr1-xAxRuO3 (A = Ca, La0.5Na0.5, and La), which the mean field theory of the Ginzburg-Landau-Wilson type fails to reproduce. The effect of dirty ferromagnetic spin fluctuations might be a key.Comment: 4 pages, 5 figure

Developing Priority Variables (“ecosystem Essential Ocean Variables” — eEOVs) for Observing Dynamics and Change in Southern Ocean Ecosystems

Reliable statements about variability and change in marine ecosystems and their underlying causes are needed to report on their status and to guide management. Here we use the Framework on Ocean Observing (FOO) to begin developing ecosystem Essential Ocean Variables (eEOVs) for the Southern Ocean Observing System (SOOS). An eEOV is a defined biological or ecological quantity, which is derived from field observations, and which contributes significantly to assessments of Southern Ocean ecosystems. Here, assessments are concerned with estimating status and trends in ecosystem properties, attribution of trends to causes, and predicting future trajectories. eEOVs should be feasible to collect at appropriate spatial and temporal scales and are useful to the extent that they contribute to direct estimation of trends and/or attribution, and/or development of ecological (statistical or simulation) models to support assessments. In this paper we outline the rationale, including establishing a set of criteria, for selecting eEOVs for the SOOS and develop a list of candidate eEOVs for further evaluation. Other than habitat variables, nine types of eEOVs for Southern Ocean taxa are identified within three classes: state (magnitude, genetic/species, size spectrum), predator–prey (diet, foraging range), and autecology (phenology, reproductive rate, individual growth rate, detritus). Most candidates for the suite of Southern Ocean taxa relate to state or diet. Candidate autecological eEOVs have not been developed other than for marine mammals and birds. We consider some of the spatial and temporal issues that will influence the adoption and use of eEOVs in an observing system in the Southern Ocean, noting that existing operations and platforms potentially provide coverage of the four main sectors of the region — the East and West Pacific, Atlantic and Indian. Lastly, we discuss the importance of simulation modelling in helping with the design of the observing system in the long term. Regional boundary: south of 30°S