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Cover -- Title Page -- Copyright Page -- Contents -- Introduction -- The Aftermath and What I Learned -- Lesson #1: Needs Are a Priority -- Lesson #2: All the Rules Are Made Up -- Lesson #3: People Settle -- Lesson #4: Society Itself Is Disabling -- Lesson #5 Brains Function as Designed -- Part I Stigmas Lie -- Chapter 1 Live Life on Your Terms -- Your Choices Set Your Terms -- Belonging Is the Goal -- Worthwhile Changes Are Rarely Easy -- Chapter 2 How Belief Systems Shape Identity -- Belief-Identity-Behavior Cycle -- How Identity Affects Perception -- External vs. Internal Locus of Control -- Why Identity Matters -- Chapter 3 Identify Who You Are Free of Stigma -- Learn to Trust Yourself -- Don't Fight Against What Is -- Advocate for Yourself -- Part II Deconstruct Faulty Belief Systems -- Chapter 4 Disability Stigma -- Historical Perceptions and Attempts at Change -- Ancient Views of Disability -- Modern Views of Disability -- Seeds of Change -- Disability and Self-Perception -- Chapter 5 Impact of Stigmas on Self -- Internalized Stigma -- Impact of Internalized Stigma -- Impact on Decision Making -- Impact on Performance -- Impact on Health -- Chapter 6 Shame -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 7 People-Pleasing -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 8 Perfectionism -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 9 Learned Helplessness -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 10 Hyper-Independence -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 11 Fear of Being Perceived -- Cause and Purpose -- How It Shows Up -- Consequences -- Stop the Cycle -- Chapter 12 Strategies to Question and Reframe -- Your Perception of the World.

This study reports on findings from research carried out with Barnardo's, a voluntary sector (not-for-profit) fostering agency, on its experience of using the Adult Attachment Interview (AAI) to assess foster carers' attachment style. Despite growing interest in the application of standardised assessment tools to the selection and support of carers, there is currently very little research that focuses on the implementation of these tools and their added value in either an adoption or foster care setting. Research was conducted in two phases. The first phase used qualitative interviews with staff members to explore their experience of using the AAI in the early stages of its implementation. The second phase drew on qualitative interviews with staff, foster carers and fostering panel members to assess current practice 18 months later. The AAI was found to add depth and rigour to the assessment process, provided opportunities for carers to reflect on their past experiences and gave staff and carers a common language to discuss issues relating to attachment. However, the use of the AAI was not without its costs and challenges and required a significant investment of time and resources. The implications for foster care agencies are discussed.

AbstractPrevious behaviour genetic studies of aggression have yielded inconsistent results: reported heritabilities for different types of aggressive behaviour ranging from 0 to 0.98. In the present study, 247 adult twin pairs (183 MZ pairs; 64 same-sex DZ pairs) were administered seven self-report questionnaires which yielded 18 measures of aggression. Univariate genetic analyses showed moderate to high heritabilities for 14 of these 18 measures and for a general aggression factor and three correlated aggression factors extracted from the measures. Multivariate genetic analyses showed sizeable genetic correlations between the different dimensions of aggression. Thus, individual differences in many types of aggressive behaviour are attributable to some extent to genetic factors and there is considerable overlap between the genes that operate on different types of aggressive behaviour.

MH was supported by the European Union's Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement no. 641805. AW was supported by United Kingdom Biotechnology and Biological Science Research Council (BBSRC) grant number BB/M002543/1, and JH by BBSRC grant number BB/M001660/1. ; Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent spatiotemporal sensitivity profiles, depend upon different low-level stimulus properties, and are potentially processed along separate cortical pathways. Here, we ask whether these MID cues code for different motion directions: do they give rise to discriminable patterns of neural signals, and is there evidence for their convergence onto a single "motion-in-depth" pathway? To answer this, we use a decoding algorithm to test whether, and when, patterns of electroencephalogram (EEG) signals measured from across the full scalp, generated in response to CD- and IOVD-isolating stimuli moving toward or away in depth can be distinguished. We find that both MID cue type and 3D-motion direction can be decoded at different points in the EEG timecourse and that direction decoding cannot be accounted for by static disparity information. Remarkably, we find evidence for late processing convergence: IOVD motion direction can be decoded relatively late in the timecourse based on a decoder trained on CD stimuli, and vice versa. We conclude that early CD and IOVD direction decoding performance is dependent upon fundamentally different low-level stimulus features, but that later stages of decoding performance may be driven by a central, shared pathway that is agnostic to these features. Overall, these data are the first to show that neural responses to CD and IOVD cues that move toward and away in depth can be decoded from EEG signals, and that different aspects of MID-cues contribute to decoding performance at different points along the EEG timecourse. ; Publisher PDF ; Peer reviewed

AbstractWith the recent resurgence in popularity of trait theories of leadership, it is timely to consider the genetic determination of the multiple factors comprising the leadership construct. Individual differences in personality traits have been found to be moderately to highly heritable, and so it follows that if there are reliable personality trait differences between leaders and non-leaders, then there may be a heritable component to these individual differences. Despite this connection between leadership and personality traits, however, there are no studies of the genetic basis of leadership using modern behavior genetic methodology. The present study proposes to address the lack of research in this area by examining the heritability of leadership style, as measured by self-report psychometric inventories. The Multifactor Leadership Questionnaire (MLQ), the Leadership Ability Evaluation, and the Adjective Checklist were completed by 247 adult twin pairs (183 monozygotic and 64 same-sex dizygotic). Results indicated that most of the leadership dimensions examined in this study are heritable, as are two higher level factors (resembling transactional and transformational leadership)derived from anobliquely rotated principal components factors analysis of the MLQ. Univariate analyses suggested that 48% of the variance in transactional leadership may be explained by additive heritability, and 59% of the variance in transformational leadership may be explained by non-additive (dominance) heritability. Multi-variate analyses indicatedthat most ofthe variables studiedshared substantial genetic covariance, suggesting a large overlap in the underlying genes responsible for the leadership dimensions.

While social marketing can increase uptake of health products in developing countries, providing equitable access is challenging. We conducted a 2-year evaluation of uptake of WaterGuard, insecticide-treated bednets (ITNs), and micronutrient Sprinkles in Western Kenya. Sixty villages were randomly assigned to intervention and comparison groups. Following a baseline survey (BL), a multifaceted intervention comprising social marketing of these products, home visits by product vendors from a local women's group (Safe Water and AIDS Project, or SWAP), product promotions, and modeling of water treatment and safe storage in was implemented in intervention villages. Comparison villages received only social marketing of WaterGuard and ITNs. We surveyed again at one year (FU1), implemented the intervention in comparison villages, and surveyed again at two years (FU2). At BL, <3% of households had been visited by a SWAP vendor. At FU1, more intervention than comparison households had been visited by a SWAP vendor (39% versus 9%, P<0.0001), and purchased WaterGuard (14% versus 2%, P<0.0001), Sprinkles (36% versus 6%, P<0.0001), or ITNs (3% versus 1%, P<0.04) from that vendor. During FU2, 47% and 41% of original intervention and comparison households, respectively, reported ever receiving a SWAP vendor visit (P=0.16); >90% those reported ever purchasing a product from the vendor. WaterGuard (P=0.02) and ITNs (P=0.005) were purchased less frequently by lower-SES than higher-SES households; Sprinkles, the least expensive product, was purchased equally across all quintiles.

BACKGROUND: On 23 February 2018, the Uganda Ministry of Health (MOH) declared a cholera outbreak affecting more than 60 persons in Kyangwali Refugee Settlement, Hoima District, bordering the Democratic Republic of Congo (DRC). We investigated to determine the outbreak scope and risk factors for transmission, and recommend evidence-based control measures. METHODS: We defined a suspected case as sudden onset of watery diarrhoea in any person aged ≥ 2 years in Hoima District, 1 February–9 May 2018. A confirmed case was a suspected case with Vibrio cholerae cultured from a stool sample. We found cases by active community search and record reviews at Cholera Treatment Centres. We calculated case-fatality rates (CFR) and attack rates (AR) by sub-county and nationality. In a case-control study, we compared exposure factors among case- and control-households. We estimated the association between the exposures and outcome using Mantel-Haenszel method. We conducted an environmental assessment in the refugee settlement, including testing samples of stream water, tank water, and spring water for presence of fecal coliforms. We tested suspected cholera cases using cholera rapid diagnostic test (RDT) kits followed by culture for confirmation. RESULTS: We identified 2122 case-patients and 44 deaths (CFR = 2.1%). Case-patients originating from Demographic Republic of Congo were the most affected (AR = 15/1000). The overall attack rate in Hoima District was 3.2/1000, with Kyangwali sub-county being the most affected (AR = 13/1000). The outbreak lasted 4 months, which was a multiple point-source. Environmental assessment showed that a stream separating two villages in Kyangwali Refugee Settlement was a site of open defecation for refugees. Among three water sources tested, only stream water was feacally-contaminated, yielding > 100 CFU/100 ml. Of 130 stool samples tested, 124 (95%) yielded V. cholerae by culture. Stream water was most strongly associated with illness (odds ratio [OR] = 14.2, 95% CI: 1.5–133), although tank ...