Social perception of faces and bodies: the relationships among motivational salience, social perception, and hormones

Social perception (i.e., the formation of impressions based on perceivable cues) of both faces and bodies is an integral part of social interaction and can influence and can be influenced by many variables, such as motivational salience (i.e., the amount of effort an individual will expend to continue viewing faces and bodies) and hormone levels of the perceiver. The first empirical chapter (i.e., Chapter 2) investigated social perception of faces and bodies using multiple trait ratings. First, participants rated face and body stimuli on the same 13 traits as those used in the seminal article on social perception of faces. Replicating previous work, I found that social perception of faces can be summarized by the two-component pattern of valence (i.e., intent to cause harm) and dominance (i.e., ability to cause harm). Social perception of bodies, though, can be summarized by one main component. Therefore, social perception of faces and bodies followed different, distinct patterns. The second empirical chapter (i.e., Chapter 3) investigated the relationship between the social perception components established in Chapter 2 and motivational salience. I assessed motivational salience using a standard key-press task in which participants could increase or decrease stimulus viewing time by pressing specified keys on the keyboard. Replicating previous work, valence and dominance positively and independently predicted the motivational salience of faces. Additionally, the one main social perception component of bodies positively predicted the motivational salience of bodies. The third empirical chapter (i.e., Chapter 4) investigated the relationship among the previously established social perception component of bodies, motivational salience of bodies, and hormone levels of the perceivers. I used the passive drool method of hormone measurement to determine exact hormone levels at five weekly test sessions. Similar to studies of faces, motivational salience of bodies was greater when testosterone was higher. While the one social perception component for bodies positively predicted motivational salience separately for male and female bodies, there was no interaction between testosterone and the social perception component, failing to conceptually replicate previous interactions between testosterone and stimulus valence. Overall, I first replicated the two-component social perception pattern of valence and dominance for faces before finding a different, one-component social perception pattern for bodies. In turn, each of these social perception components predicted motivational salience of faces and bodies. Additionally, motivational salience of bodies was greater when testosterone was high, but this effect was not qualified by the main social perception component for bodies. I conclude by discussing the similarities and differences between faces and bodies in this and other work on social perception and motivational salience

Depression And Anxiety In Patients With Juvenile Idiopathic Arthritis: Current Insights And Impact On Quality Of Life, A Systematic Review

Depression and anxiety are prevalent in children with rheumatologic diseases, including juvenile idiopathic arthritis (JIA). However, prevalence rates and the relationship with disease outcomes, including quality of life are conflicting in the early literature. To review the current literature, determine gaps in our knowledge, and identify areas in need of further investigation, we conducted a systematic review of studies examining depression and anxiety symptoms among children with JIA and the impact these symptoms may have on disease outcomes and quality of life. Six electronic databases were searched up until January 2019. Of 799 potential articles, 60 articles were included with the main focus on 28 articles from 2009 to 2019, to concentrate on the most current evidence. We found that JIA patients experience symptoms of depression and anxiety similar to other childhood chronic diseases and at higher rates than in healthy children. Patients who experience these symptoms have worse quality of life, with some evidence pointing to depression and anxiety symptoms having a greater impact on quality of life than other disease features, such as active joint count. Family members of JIA patients experience high rates of anxiety and depression symptoms which may impact their child’s mental health and pain symptoms related to JIA. Conflicting reports of associations between depression/anxiety symptoms and disease features/disease outcomes and a paucity of longitudinal studies investigating the impact of treatment on mental health symptoms indicate areas in need of further research to effectively identify patients at greatest risk of depression and anxiety and to better understand how to treat and prevent these symptoms in youth with JIA. Family mental health should also be considered in investigations concerning mental health and disease outcomes of children with JIA

Critical perspectives on writing analytics

Writing Analytics focuses on the measurement and analysis of written texts for the purpose of understanding writing processes and products, in their educational contexts, and improving the teaching and learning of writing. This workshop adopts a critical, holistic perspective in which the definition of "the system" and "success" is not restricted to IR metrics such as precision and recall, but recognizes the many wider issues that aid or obstruct analytics adoption in educational settings, such as theoretical and pedagogical grounding, usability, user experience, stakeholder design engagement, practitioner development, organizational infrastructure, policy and ethics

Sex-Related Differences in Violence Exposure, Neural Reactivity to Threat, and Mental Health

The prefrontal cortex (PFC), hippocampus, and amygdala play an important role in emotional health. However, adverse life events (e.g., violence exposure) affect the function of these brain regions, which may lead to disorders such as depression and anxiety. Depression and anxiety disproportionately affect women compared to men, and this disparity may reflect sex differences in the neural processes that underlie emotion expression and regulation. The present study investigated sex differences in the relationship between violence exposure and the neural processes that underlie emotion regulation. In the present study, 200 participants completed a Pavlovian fear conditioning procedure in which cued and non-cued threats (i.e., unconditioned stimuli) were presented during functional magnetic resonance imaging. Violence exposure was previously assessed at four separate time points when participants were 11-19 years of age. Significant threat type (cued versus non-cued) × sex and sex × violence exposure interactions were observed. Specifically, women and men differed in amygdala and parahippocampal gyrus reactivity to cued versus non-cued threat. Further, dorsolateral PFC (dlPFC) and inferior parietal lobule (IPL) reactivity to threat varied positively with violence exposure among women, but not men. Similarly, threat-elicited skin conductance responses varied positively with violence exposure among women. Finally, women reported greater depression and anxiety symptoms than men. These findings suggest that sex differences in threat-related brain and psychophysiological activity may have implications for mental health

The Vehicle, Fall 2009

Table of Contents Poetry AliveRashelle McNairpage 3 Train of ThoughtsJeanette Saribekianpage 4 Biding the TideMarlee Lutzpage 5 Rotten HarvestJessyca Revillapage 15 Nostalgia ODJustine Fittonpage 16 Beyond WordsAshley Wrightpage 26 Don\u27tMelinda Knightpage 27 Happy HourStephen Garciapage 35 UntitledDaniel Paquinpage 37 Vibrant SensationsAshton Tembypage 38 Scarecrow Sally on a Saturday NightDaniel Davispage 45 The FarmAshley Wrightpage 49 Anything ButJustine Fittonpage 51 CrashDanielle Shirtinopage 53 Weathering SatisfactionRashelle McNairpage 54 SeminarDaniel Davispage 71 Nature\u27s Mood SwingsJeanette Saribekianpage 72 The PerformanceMelinda Knightpage 68 AmaterasuMarlee Lutzpage 82 Prose AirLauren Davidsonpage 6 The Twang of OrangesJ.T. Dawsonpage 18 ListenStephani Pescitellipage 29 The Rise and Fall of NickNickolas Alexanderpage 30 LossSimyona Deanovapage 39 Like DiamondsMark Rheaumepage 42 Moral FixationBryan Rolfsenpage 47 Reflections in College AlgebraNicole Reichertpage 52 LeashDaniel Paquinpage 56 I Lost My KeysJustine Fittonpage 75 A Third Grade EssayMark Rheaumepage 69 Be Careful, They BiteDaniel Davispage 84 Art Limb BurgAlycia Rockeycover AvesSamantha Flowerspage 14 Life-LuminescenceStephani Pescitellipage 25 MonopolyMegan Mathypage 28 Carousel NostalgiaAlycia Rockeypage 36 ShoesSarah Olsonpage 41 Waimea BayJarrod Taylorpage 50 Peacock Plumage Alycia Rockeypage 55 Building a HouseStephani Pescitellipage 70 ShellMegan Mathypage 74 From the VacationSamantha Flowerspage 73 Chicago CanopyAlycia Rockeypage 83 Features Editor\u27s NoteLindsey Durbinpage 1 LazarusDr. David Radavichpage 2 James K. Johnson Creative Writing Awardpage 88 Winning Entries (Poetry)Matthew J. Schumakepage 89 Winning Entry (Nonfiction)Jennifer O\u27Neilpage 92 Interview, 2009 Chapbook WinnerDaniel Davispage 95 Contributorspage 99https://thekeep.eiu.edu/vehicle/1090/thumbnail.jp

The Vehicle, Fall 2009

Table of Contents Poetry AliveRashelle McNairpage 3 Train of ThoughtsJeanette Saribekianpage 4 Biding the TideMarlee Lutzpage 5 Rotten HarvestJessyca Revillapage 15 Nostalgia ODJustine Fittonpage 16 Beyond WordsAshley Wrightpage 26 Don\u27tMelinda Knightpage 27 Happy HourStephen Garciapage 35 UntitledDaniel Paquinpage 37 Vibrant SensationsAshton Tembypage 38 Scarecrow Sally on a Saturday NightDaniel Davispage 45 The FarmAshley Wrightpage 49 Anything ButJustine Fittonpage 51 CrashDanielle Shirtinopage 53 Weathering SatisfactionRashelle McNairpage 54 SeminarDaniel Davispage 71 Nature\u27s Mood SwingsJeanette Saribekianpage 72 The PerformanceMelinda Knightpage 68 AmaterasuMarlee Lutzpage 82 Prose AirLauren Davidsonpage 6 The Twang of OrangesJ.T. Dawsonpage 18 ListenStephani Pescitellipage 29 The Rise and Fall of NickNickolas Alexanderpage 30 LossSimyona Deanovapage 39 Like DiamondsMark Rheaumepage 42 Moral FixationBryan Rolfsenpage 47 Reflections in College AlgebraNicole Reichertpage 52 LeashDaniel Paquinpage 56 I Lost My KeysJustine Fittonpage 75 A Third Grade EssayMark Rheaumepage 69 Be Careful, They BiteDaniel Davispage 84 Art Limb BurgAlycia Rockeycover AvesSamantha Flowerspage 14 Life-LuminescenceStephani Pescitellipage 25 MonopolyMegan Mathypage 28 Carousel NostalgiaAlycia Rockeypage 36 ShoesSarah Olsonpage 41 Waimea BayJarrod Taylorpage 50 Peacock Plumage Alycia Rockeypage 55 Building a HouseStephani Pescitellipage 70 ShellMegan Mathypage 74 From the VacationSamantha Flowerspage 73 Chicago CanopyAlycia Rockeypage 83 Features Editor\u27s NoteLindsey Durbinpage 1 LazarusDr. David Radavichpage 2 James K. Johnson Creative Writing Awardpage 88 Winning Entries (Poetry)Matthew J. Schumakepage 89 Winning Entry (Nonfiction)Jennifer O\u27Neilpage 92 Interview, 2009 Chapbook WinnerDaniel Davispage 95 Contributorspage 99https://thekeep.eiu.edu/vehicle/1090/thumbnail.jp

Definition of a genetic relatedness cutoff to exclude recent transmission of meticillin-resistant Staphylococcus aureus: a genomic epidemiology analysis.

BACKGROUND: Whole-genome sequencing (WGS) can be used in genomic epidemiology investigations to confirm or refute outbreaks of bacterial pathogens, and to support targeted and efficient infection control interventions. We aimed to define a genetic relatedness cutoff, quantified as a number of single-nucleotide polymorphisms (SNP), for meticillin-resistant Staphylococcus aureus (MRSA), above which recent (ie, within 6 months) patient-to-patient transmission could be ruled out. METHODS: We did a retrospective genomic and epidemiological analysis of MRSA data from two prospective observational cohort studies in the UK to establish SNP cutoffs for genetic relatedness, above which recent transmission was unlikely. We used three separate approaches to calculate these thresholds. First, we applied a linear mixed model to estimate the S aureus substitution rate and 95th percentile within-host diversity in a cohort in which multiple isolates were sequenced per individual. Second, we applied a simulated transmission model to this same genomic dataset. Finally, in a second cohort, we determined the genetic distance (ie, the number of SNPs) that would capture 95% of epidemiologically linked cases. We applied the three approaches to both whole-genome and core-genome sequences. FINDINGS: In the linear mixed model, the estimated substitution rate was roughly 5 whole-genome SNPs (wgSNPs) or 3 core-genome SNPs (cgSNPs) per genome per year, and the 95th percentile within-host diversity was 19 wgSNPs or 10 cgSNPs. The combined SNP cutoffs for detection of MRSA transmission within 6 months per this model were thus 24 wgSNPs or 13 cgSNPs. The simulated transmission model suggested that cutoffs of 17 wgSNPs or 12 cgSNPs would detect 95% of MRSA transmission events within the same timeframe. Finally, in the second cohort, cutoffs of 22 wgSNPs or 11 cgSNPs captured 95% of epidemiologically linked cases within 6 months. INTERPRETATION: On the basis of our results, we propose conservative cutoffs of 25 wgSNPs or 15 cgSNPS above which transmission of MRSA within the previous 6 months can be ruled out. These cutoffs could potentially be used as part of a genomic sequencing approach to the management of outbreaks of MRSA in conjunction with traditional epidemiological techniques. FUNDING: UK Department of Health, Wellcome Trust, UK National Institute for Health Research

Clinical Laboratories Collaborate to Resolve Differences in Variant Interpretations Submitted to ClinVar

Purpose Data sharing through ClinVar offers a unique opportunity to identify interpretation differences between laboratories. As part of a ClinGen initiative, four clinical laboratories (Ambry, GeneDx, Partners Healthcare Laboratory for Molecular Medicine, and University of Chicago Genetic Services Laboratory) collaborated to identify the basis of interpretation differences and to investigate if data sharing and reassessment resolves interpretation differences by analyzing a subset of variants. Methods: ClinVar variants with submissions from at least two of the four participating laboratories were compared. For a subset of identified differences, laboratories documented the basis for discordance, shared internal data, independently reassessed with the ACMG-AMP guidelines, and then compared interpretations. Results: 6,169 variants in ClinVar were interpreted by at least two of the participating laboratories, of which 88.3% were initially concordant. Laboratories reassessed 242/724 initially discordant variants, of which 87.2% (211) were resolved by reassessment with current criteria and/or internal data sharing. 12.8% (31) of reassessed variants remain discordant due to differences in application of the ACMG-AMP guidelines. Conclusion: Participating laboratories increased their overall concordance from 88.3% to 91.7%, indicating that sharing variant interpretations in ClinVar, allowing identification of differences and motivation to resolve those differences, is critical to move toward more consistent variant interpretations

BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers

Background: The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Methods: Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. Results: The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10- 6) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10-3). These associations were stronger for serous ovarian cancer and for estrogen receptor–negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10-5 and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10-5, respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Conclusions: Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes