Recognize and Accept Me: Consequences of the Drive for Social Identity Validation

According to uncertainty-identity theory (Hogg, 2021a) one of the benefits of group identification is uncertainty-reduction. To reap this benefit fully, it is posited that people also are motivated to have their identities validated, especially if the identity is one that is important to a person’s sense of self. However, people receive various feedback about their identities, and feedback about one’s identity does not come solely from one’s ingroup. While past research has demonstrated that feedback and source of feedback are important factors in social identity validation processes (see Choi & Hogg, 2020b), the current research proposes that uncertainty also may be a key factor in these processes; specifically, those with greater self-uncertainty will have a greater desire for identity validation for identities that are central to their sense of self. Furthermore, such desires can have consequences for how individuals evaluate and interact with their ingroup as well as their outgroup. Three studies were conducted to examine this. Study 1 (N = 139) showed that those with greater self-uncertainty and those whose identity is more central to their sense of self have a greater desire for identity validation. Study 2 (N = 142) showed that there is less ingroup bias when individuals evaluate feedback sources after imagining receiving identity validation from an outgroup source, and self-uncertainty moderates the effect of the feedback source’s group when evaluating the ingroup and outgroup as a whole. Study 3 (N = 142) showed that those who receive ingroup invalidation have a greater desire for identity validation from the outgroup compared to those who receive ingroup validation. Implications for intra- and intergroup dynamics and future research are discusse

Learning Bayesian networks with ancestral constraints

Abstract We consider the problem of learning Bayesian networks optimally, when subject to background knowledge in the form of ancestral constraints. Our approach is based on a recently proposed framework for optimal structure learning based on non-decomposable scores, which is general enough to accommodate ancestral constraints. The proposed framework exploits oracles for learning structures using decomposable scores, which cannot accommodate ancestral constraints since they are non-decomposable. We show how to empower these oracles by passing them decomposable constraints that they can handle, which are inferred from ancestral constraints that they cannot handle. Empirically, we demonstrate that our approach can be orders-of-magnitude more efficient than alternative frameworks, such as those based on integer linear programming

Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases

Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scanner hardware and acquisition protocols. In this work, we present a high resolution of 135 postmortem human brain tissue specimens imaged at 0.3 mm$^{3}$ isotropic using a T2w sequence on a 7T whole-body MRI scanner. We developed a deep learning pipeline to segment the cortical mantle by benchmarking the performance of nine deep neural architectures, followed by post-hoc topological correction. We then segment four subcortical structures (caudate, putamen, globus pallidus, and thalamus), white matter hyperintensities, and the normal appearing white matter. We show generalizing capabilities across whole brain hemispheres in different specimens, and also on unseen images acquired at 0.28 mm^3 and 0.16 mm^3 isotropic T2*w FLASH sequence at 7T. We then compute localized cortical thickness and volumetric measurements across key regions, and link them with semi-quantitative neuropathological ratings. Our code, Jupyter notebooks, and the containerized executables are publicly available at: https://pulkit-khandelwal.github.io/exvivo-brain-upennComment: Preprint submitted to NeuroImage Project website: https://pulkit-khandelwal.github.io/exvivo-brain-upen

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Disposition of Aerosols of Isothiazolinone-Biocides: BIT, MIT and OIT

Biocides are widely used in everyday life, and accordingly, human exposure to them is inevitable. Especially, the inhalational exposure of humans to biocides and resultant respiratory toxicity are gaining public interest due to the recent catastrophe associated with humidifier disinfectants. Aerosolized chemicals are subject to gravitational deposition and chemical degradation. Therefore, the characterization of the disposition of aerosols is essential to estimate the inhalational exposure to biocides. Here, we compared the disposition of aerosols of one of the commonly used biocide classes, isothiazolinone-based biocides, BIT, MIT, and OIT. An acrylic chamber (40 cm × 40 cm × 50 cm) was created to simulate the indoor environment, and a vacuum pump was used to create airflow (1 LPM). Biocides were sprayed from a vertical nebulizer placed on the ceiling of the chamber, and the distribution of particle sizes and volume was measured using the Optical Particle Sizer (OPS) 3330 device. During and after the aerosol spraying, airborne biocides and those deposited on the surface of the chamber were sampled to measure the deposition using LC-MS/MS. As a result, the broad particle size distribution was observed ranging from 0.3 to 8 μm during the nebulization. The inhalable particle faction (>2 μm) of the isothiazolinones was 32–67.9% in number but 1.2 to 6.4% in volume. Most of the aerosolized biocides were deposited on the chamber’s surface while only a minimal portion was airborne (<1%) after the nebulization. More importantly, significant amounts of MIT and OIT were degraded during aerosolization, resulting in poor total recovery compared to BIT (31%, 71% vs. 97% BIT). This result suggests that some isothiazolinones may become unstable during nebulization, affecting their disposition and human exposure significantly

The Impact of Provider Sex and Experience on the Quality of Care Provided for Women with Urinary Incontinence.

BACKGROUND: Although specialists are skilled in the management of urinary incontinence, primary care clinicians are integral in early diagnosis and initiation of management in order to decrease overuse of specialty care and improve the quality of specialist visits. We measured the quality of incontinence care provided by primary care clinicians prior to referral to a specialist and evaluated the impact of provider variables on quality of care. METHODS: We performed a retrospective review of 200 women referred for urinary incontinence to a Female Pelvic Medicine and Reconstructive Surgery specialist between March 2017 and July 2018. We measured primary care adherence to 12 quality indicators in the 12 months prior to specialist consultation. We stratified adherence to quality indicators by clinician sex and years of experience. RESULTS: Half of women with incontinence underwent a pelvic examination or had a urinalysis ordered. Few patients with urge urinary incontinence were recommended behavioral therapy (14%) or prescribed medication (8%). When total aggregate scores were compared, female clinicians performed the recommended care 47% ± 25% of the time, compared with 35% ± 23% for male clinicians (P&nbsp;=&nbsp;.003). Increasing years of experience was associated with worse overall urinary incontinence care (r -0.157, P&nbsp;=&nbsp;.02). CONCLUSIONS: We found low rates of adherence to a set of quality indicators for women with urinary incontinence, with male clinicians performing significantly worse than female clinicians. Improvement of incontinence care in primary care could significantly reduce costs of care and preserve outcomes

Conceptualization, development, and early dissemination of eMPACTTM: A competency-based career navigation system for translational research professionals

Abstract Introduction: Purposeful training and ongoing career support are necessary to meet the evolving and expanding roles of clinical research professionals (CRP). To address the training and employment needs of clinical research coordinators (CRCs), one of the largest sectors of the CRP workforce, we designed, developed, and implemented an online career navigation system, eMPACTTM (eMpowering Purposeful Advancement of Careers and Training). Methods: A design-based research method was employed as an overarching approach that frames iterative design, development, and implementation of educational interventions. The five major phases of this project – conceptualization, task analysis for measurement development, algorithms development, algorithms validation, and system evaluation – presented specific goals and relevant methods. Results: The results reported how the eMPACTTM system was conceptualized, developed, and validated. The system allowed CRCs to navigate tailored training and job opportunities by completing their task competencies and career goals. The data sets could, in turn, support employees’ and training coordinators’ informed decisions about organizational training needs and recruitment. The early dissemination results showed steady growth in registered CRCs and diversity in users’ ethnicity and job levels. Conclusions: The eMPACTTM service showed the possibility of supporting CRCs’ individual career advancement and organizational workforce enhancement and diversity. Long-term research is needed to evaluate its impact on CRC workforce development, explore key factors influencing workforce sustainability, and expand eMPACTTM service to other CRP sectors

Study on Verifying the Effectiveness of Non-face-to-face Youth Volunteering in Improving Self-Esteem Among Children of Deaf Adults (CODAs)

The goal of this study is to evaluate the effectiveness of youth volunteering in increasing the self-esteem of hearing children of deaf adults (CODAs), who commonly start taking care of their parents from a young age. To this end, an experimental study based on the non-equal comparison groups design was applied to a experimental group of 4 participants and a control group of 3 participants, selected based on the recommendation from expert social workers from the M General Social Welfare Center in P City. The volunteer programs, conducted non-face-to-face due to COVID-19, were centered on art activities such as drawing one's own dreams, decorating flowers, and customizing pencil cases. Repeated measures analysis of variance (rANOVA) was conducted to verify the effectiveness of volunteering, and the analysis results are as follows. First, in both the experimental group and the control group, CODAs' self esteem increased after the program was carried out. Second, while the growth effect appeared in both groups, the slope of increase in the self-esteem of the experimental group was significantly higher than that of the control group. Accordingly, the effectiveness of volunteering to improve CODAs' self-esteem was verified. This study suggests academic and practical implications based on these findings