Rendering the Social in the Architectural Scene: Digital Representation and Social Inclusion on Architectural Design, Thinking, and Education

The digital production of hyper-rendered scenes has come to dominate architectural practice. Jean Baudrillard's warning that simulation will replace the real is now obvious and ubiquitous in our wirelessly networked mediated lives. CAD monkeys, rendering farms, and out-sourcers form the cabal behind the global production of seductive computer generated imagery detached from real people and places. This paper builds on the premise that physical places, designed and marketed through digital imagery, set the stage for the "social scenes" of tourism, leisure and consumption, and that privatized public spaces become "images" in themselves. Providing a setting for ways of people seeing, and being seen by others, these images encourage us to mimic the poses and gestures of architectural renderings. Standing against our growing obsession with rendered architectural scenes suggests that, as digital modes of creation and representation increasingly become objectives in and of themselves, architectural practice is prone to blindness in the face of social developments which exist independently of architecture's digital turn. The paper highlights the possible integration of the social and the technological through documenting a series of design, professional, and pedagogical projects which have, during the thirty-year period of architecture's 'digital turn', increasingly incorporated 'the digital', but which have persistently continued to foreground the social

Combating Cholera [version 1; peer review: 2 approved]

Cholera infections caused by the gamma-proteobacterium Vibrio cholerae have ravaged human populations for centuries, and cholera pandemics have afflicted every corner of the globe. Fortunately, interventions such as oral rehydration therapy, antibiotics/antimicrobials, and vaccines have saved countless people afflicted with cholera, and new interventions such as probiotics and phage therapy are being developed as promising approaches to treat even more cholera infections. Although current therapies are mostly effective and can reduce disease transmission, cholera outbreaks remain deadly, as was seen during recent outbreaks in Haiti, Ethiopia, and Yemen. This is due to significant underlying political and socioeconomic complications, including shortages of vaccines and clean food and water and a lack of health surveillance. In this review, we highlight the strengths and weaknesses of current cholera therapies, discuss emerging technologies, and argue that a multi-pronged, flexible approach is needed to continue to reduce the worldwide burden of cholera

Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling.

AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test predicted \u3c5% SLN positivity. Multicenter, prospectively-tested (n = 1421) and retrospective (n = 690) cohorts were used for validation and outcomes, respectively. RESULTS: Patients 55-64 years and ≥65 years with a class 1A (low-risk) profile had SLN positivity rates of 4.9% and 1.6%. Class 2B (high-risk) patients had SLN positivity rates of 30.8% and 11.9%. Melanoma-specific survival was 99.3% for patients ≥55 years with class 1A, T1-T2 tumors and 55.0% for class 2B, SLN-positive, T1-T2 tumors. CONCLUSION: The 31-gene expression profile test identifies patients who could potentially avoid SLN biopsy

Adolescent Healthcare Contacts in the Year Before Suicide: a case control study

Introduction: Suicide rates among adolescents have risen steadily since 2007, creating a dire need to expand prevention protocols. Healthcare systems have been identified as a key avenue for identification and intervention. To date, no comprehensive analysis has been done to understand adolescent-specific characteristics and healthcare utilization prior to suicide death. Methods: A case-control study was conducted using records from eight healthcare systems nationwide. Data from 450 subjects aged 10-24 who died by suicide between the years 2000-2013 was matched with 4500 controls based on health system and time period of membership. We examined past-year health diagnoses and patterns of visit types and frequency. Results: Adolescents who died by suicide were more likely to have at least one mental health disorder (52% vs 16%), as well as each individual disorder. Physical health disorders were also more likely among this group. Close to half (49%) and nearly all (89%) of youth who died by suicide had a health care visit in the month and year prior to their death, respectively. Outpatient visits were most common, with suicide decedents averaging 8 in the year before death. Conclusion: With nearly half (48%) of adolescents who died by suicide lacking a mental health diagnosis in the year prior to their death, it is no longer sufficient to rely on mental health services to capture at-risk youth. High rates of healthcare utilization among those who died by suicide indicate a strong need for improving identification of youth while they are seeking services, thereby preventing future deaths

Components of the antigen processing and presentation pathway revealed by gene expression microarray analysis following B cell antigen receptor (BCR) stimulation

BACKGROUND: Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only stimulation through the B cell antigen receptor (BCR) induces apoptosis in resting splenic B cells. In order to define the common and unique biological responses to ligand stimulation, we compared the gene expression changes induced in normal primary B cells by a panel of ligands using cDNA microarrays and a statistical approach, CLASSIFI (Cluster Assignment for Biological Inference), which identifies significant co-clustering of genes with similar Gene Ontology™ annotation. RESULTS: CLASSIFI analysis revealed an overrepresentation of genes involved in ion and vesicle transport, including multiple components of the proton pump, in the BCR-specific gene cluster, suggesting that activation of antigen processing and presentation pathways is a major biological response to antigen receptor stimulation. Proton pump components that were not included in the initial microarray data set were also upregulated in response to BCR stimulation in follow up experiments. MHC Class II expression was found to be maintained specifically in response to BCR stimulation. Furthermore, ligand-specific internalization of the BCR, a first step in B cell antigen processing and presentation, was demonstrated. CONCLUSION: These observations provide experimental validation of the computational approach implemented in CLASSIFI, demonstrating that CLASSIFI-based gene expression cluster analysis is an effective data mining tool to identify biological processes that correlate with the experimental conditional variables. Furthermore, this analysis has identified at least thirty-eight candidate components of the B cell antigen processing and presentation pathway and sets the stage for future studies focused on a better understanding of the components involved in and unique to B cell antigen processing and presentation

Vasopressin excites interneurons to suppress hippocampal network activity across a broad span of brain maturity at birth

During birth in mammals, a pronounced surge of fetal peripheral stress hormones takes place to promote survival in the transition to the extrauterine environment. However, it is not known whether the hormonal signaling involves central pathways with direct protective effects on the perinatal brain. Here, we show that arginine vasopressin specifically activates interneurons to suppress spontaneous network events in the perinatal hippocampus. Experiments done on the altricial rat and precocial guinea pig neonate demonstrated that the effect of vasopressin is not dependent on the level of maturation (depolarizing vs. hyperpolarizing) of postsynaptic GABA(A) receptor actions. Thus, the fetal mammalian brain is equipped with an evolutionarily conserved mechanism well-suited to suppress energetically expensive correlated network events under conditions of reduced oxygen supply at birth.Peer reviewe

Beyond Genre: Classifying Virtual Reality Experiences

12 pagesBecause virtual reality (VR) shares common features with video games, consumer content is usually classified according to traditional game genres and standards. However, VR offers different experiences based on the medium’s unique affordances. To account for this disparity, the paper presents a comparative analysis of titles from the Steam digital store across three platform types: VR only, VR supported, and non-VR. We analyzed data from a subset of the most popular applications within each category (N=141, 93, and 1217, respectively). The three classification types we analyzed were academic game genres, developer defined categories, and user-denoted tags. Results identify the most common content classifications (e.g., Action and Shooter within VR only applications), the relative availability of each between platforms (e.g., Casual is more common in VR only than VR supported or non-VR), general platform popularity (e.g., VR only received less positive ratings than VR supported and nonVR), and which content types are associated with higher user ratings across platforms (e.g., Action and Music/Rhythm are most positively rated in VR only). Our findings ultimately provide a foundational framework for future theoretical constructions of classification systems based on content, market, interactivity, sociality, and service dependencies, which underlay how consumer VR is currently categorized

Demographic and Psychosocial Factors Associated with Suicide Mortality Among Childbearing-Aged Individuals: A Case-Control Study

Objective: Examine pregnancy-related, demographic, psychosocial and healthcare utilization factors associated with suicide mortality among childbearing-aged women. Methods: Data from nine health care systems in the Mental Health Research Network were included. A case-control study design was used in which 290 childbearing-age women who died by suicide (cases) from 2000-2015 were matched with 2,900 childbearing-age women from the same healthcare system and enrolled during the same time period who did not die by suicide. Conditional logistic regression was used to analyze associations between patient characteristics and suicide. Results: Women who died by suicide were more likely to have mental health or substance use disorders (aOR = 2.36, 95%CI: 1.46, 3.82) and to have visited the emergency department in the year prior to index date (aOR = 3.35, 95%CI: 2.39, 4.68). Pregnancy (aOR = 0.17, 95% CI: 0.04, 0.78) and delivery of a liveborn baby (aOR = 0.39, 95% CI: 0.16, 0.92) within a year before index date were associated with lower risk of suicide mortality. Women who experienced pregnancy loss were more likely to die by suicide (aOR = 1.41, 95% CI: 0.49, 4.06), but this was not statistically significant potentially due to small sample size (n = 6 cases; n = 21 control). Conclusions: Childbearing-aged women with mental health and/or substance use disorders, prior emergency department encounters may benefit from routine screening and monitoring for suicide risk. Future research should further examine the relationship between pregnancy loss and suicide mortality

Weighing the Association Between BMI Change and Suicide Mortality

OBJECTIVE: Suicide rates continue to rise, necessitating the identification of risk factors. Obesity and suicide mortality rates have been examined, but associations among weight change, death by suicide, and depression among adults in the United States remain unclear. METHODS: Data from 387 people who died by suicide in 2000-2015 with a recorded body mass index (BMI) in the first and second 6 months preceding their death ( index date ) were extracted from the Mental Health Research Network. Each person was matched with five people in a control group (comprising individuals who did not die by suicide) by age, sex, index year, and health care site (N=1,935). RESULTS: People who died by suicide were predominantly male (71%), White (69%), and middle aged (mean age=57 years) and had a depression diagnosis (55%) and chronic health issues (57%) (corresponding results for the control group: 71% male, 66% White, 14% with depression diagnosis, and 43% with chronic health issues; mean age=56 years). Change in BMI within the year before the index date statistically significantly differed between those who died by suicide (mean change=-0.72±2.42 kg/m(2)) and the control group (mean change=0.06±4.99 kg/m(2)) (p\u3c0.001, Cohen\u27s d=0.17). A one-unit BMI decrease was associated with increased risk for suicide after adjustment for demographic characteristics, mental disorders, and Charlson comorbidity score (adjusted odds ratio=1.11, 95% confidence interval=1.05-1.18, p\u3c0.001). For those without depression, a BMI change was significantly associated with suicide (p\u3c0.001). CONCLUSIONS: An increased suicide mortality rate was associated with weight loss in the year before a suicide after analyses accounted for general and mental health indicators