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31 result(s) for "Goel, Srishti"
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Face and context integration in emotion inference is limited and variable across categories and individuals
The ability to make nuanced inferences about other people’s emotional states is central to social functioning. While emotion inferences can be sensitive to both facial movements and the situational context that they occur in, relatively little is understood about when these two sources of information are integrated across emotion categories and individuals. In a series of studies, we use one archival and five empirical datasets to demonstrate that people could be integrating, but that emotion inferences are just as well (and sometimes better) captured by knowledge of the situation alone, while isolated facial cues are insufficient. Further, people integrate facial cues more for categories for which they most frequently encounter facial expressions in everyday life (e.g., happiness ). People are also moderately stable over time in their reliance on situational cues and integration of cues and those who reliably utilize situation cues more also have better situated emotion knowledge. These findings underscore the importance of studying variability in reliance on and integration of cues. People infer emotions using faces and situations, yet little is known about how these are integrated. Here, the authors show that situations are often sufficient to infer emotions, with variability in integration across categories and individuals.
Understanding gender inequities in antimicrobial resistance: role of biology, behaviour and gender norms
Antimicrobial resistance (AMR) poses a critical public health threat, with gendered implications that are often overlooked. Key drivers of bacterial AMR include the misuse of antibiotics, inadequate water, sanitation and hygiene infrastructure and poor infection control practices. Persistent gender discrimination exacerbates these issues, resulting in disparities in healthcare access and outcomes. This review explores how biological, sociocultural and behavioural factors contribute to the differential incidence of AMR in women. We present a conceptual framework to understand how gender norms influence antibiotic use and AMR. Differences in infection susceptibility, health-seeking behaviours, the ability to access and afford essential antibiotics and quality healthcare and appropriate diagnosis and management by healthcare providers across genders highlight the necessity for gender-sensitive approaches. Addressing gender dynamics within the health workforce and fostering inclusive policies is crucial for effectively mitigating AMR. Integrating intersectional and life course approaches into AMR mitigation strategies is essential to manage the changing health needs of women and other vulnerable groups.
Understanding the value of biobank attributes to researchers using a conjoint experiment
Biobanks are important in biomedical and public health research, and future healthcare research relies on their strength and capacity. However, there are financial challenges related to the operation of commercial biobanks and concerns around the commercialization of biobanks. Non-commercial biobanks depend on grant funding to operate and could be valuable to researchers if they can enable access to quality specimens at lower costs. The objective of this study is to estimate the value of specific biobank attributes. We used a rating-based conjoint experiment approach to study how researchers valued handling fee, access, quality, characterization, breadth of consent, access to key endemics, and time taken to fulfil requests. We found that researchers placed the greatest relative importance on the quality of specimens (26%), followed by the characterization of specimens (21%). Researchers with prior experience purchasing biological samples also valued access to key endemic in-country sites (11.6%) and low handling fees (5.5%) in biobanks.
The impact of sociality and affective valence on brain activation: A meta-analysis
•In humans, social stimuli are highly affective. We map how sociality and affective valence affect brain activations across the literature.•We meta-analyzed 493 neuroimaging studies of social and non-social affective paradigms published from 1992 to 2019, including 7801 participants.•Social and non-social affective stimuli are associated with overlapping activations within visceromotor control regions.•Social processing involves additional cortical activations previously associated with abstraction and prediction.•Social v. non-social affective processing does not use unique circuitry but sociality relies on relatively more elaborate cortical processing. Thirty years of neuroimaging reveal the set of brain regions consistently associated with pleasant and unpleasant affect in humans—or the neural reference space for valence. Yet some of humans’ most potent affective states occur in the context of other humans. Prior work has yet to differentiate how the neural reference space for valence varies as a product of the sociality of affective stimuli. To address this question, we meta-analyzed across 614 social and non-social affective neuroimaging contrasts, summarizing the brain regions that are consistently activated for social and non-social affective information. We demonstrate that across the literature, social and non-social affective stimuli yield overlapping activations within regions associated with visceromotor control, including the amygdala, hypothalamus, anterior cingulate cortex and insula. However, we find that social processing differs from non-social affective processing in that it involves additional cortical activations in the medial prefrontal and posterior cingulum that have been associated with mentalizing and prediction. A Bayesian classifier was able to differentiate unpleasant from pleasant affect, but not social from non-social affective states. Moreover, it was not able to classify unpleasantness from pleasantness at the highest levels of sociality. These findings suggest that highly social scenarios may be equally salient to humans, regardless of their valence.
Role of human milk banks amid COVID 19: perspective from a milk bank in India
The COVID-19 pandemic has had a significant impact on the operation of donor human milk banks in various countries such as China, Italy and India. It is understandable that this impact on operations of donor human milk might hamper the capability of these milk banks to provide sufficient pasteurized donor milk to neonates who need it. Contrary to developed world, predominant donors in developing nations are mothers of hospitalised neonates who have a relatively long period of hospital stay. This longer maternal hospital stay enhances the feasibility of milk donation by providing mothers with access to breast pumps to express their milk. Any excess milk a mother expresses which is above the needs of their own infant can be voluntarily donated. This physical proximity of milk banks to donors may help continuation of human milk donation in developing nations during the pandemic. Nevertheless, protocols need to be implemented to i) ensure the microbiological quality of the milk collected and ii) consider steps to mitigate potential consequences related to the possibility of the donor being an asymptomatic carrier of COVID-19. We present the procedural modifications implemented at the Comprehensive Lactation Management Centre at Lady Hardinge Medical College in India to promote breastfeeding and human milk donation during the pandemic which comply with International and National guidelines. This commentary provides a perspective from a milk bank in India which might differ from the perspective of the international donor human milk banking societies.
Neonatal Meningitis Secondary to Elizabethkingia meningoseptica Infection
Introduction: Elizabethkingia meningoseptica, a rare cause of sepsis and meningitis in neonates, often associated with a wide spectrum of clinical presentation. The objective of the study was to describe the clinical characteristics and outcome of neonates, who developed meningitis secondary to Elizabethkingia meningoseptica infection at a tertiary care Neonatal unit in India. Methods: This retrospective study was conducted in the neonatal unit of a tertiary care hospital in New Delhi. The clinical data including demographic data, clinical presentation, management, and outcome data were collected and analyzed. Results: During the study, 7 neonates with meningitis secondary to Elizabethkingia infection were identified. Majority of the neonates were preterm with a median gestational age of 31 (interquartile range: 29-33.5) weeks and a median birth weight of 1250 g (interquartile range: 1024-2065). The median age of onset of symptoms was 7 days. Lethargy (100%), apnea (85%), seizure (71%), and feeding difficulties (42%) were the common clinical presentations. Overall mortality during the period was 28.5%, and 60% of the survivor developed hydrocephalus. Isolated strains were resistant to the commonly used antibiotics (piperacillin-tazobactam, aminoglycosides, meropenem, and colistin) effective against Gram-negative organisms. The environmental screening was done but the potential source of infection could not be identified conclusively. Conclusion: Meningitis in neonates caused by Elizabethkingia represents a potentially life-threatening infection and is often associated with significant neurological impairment, especially in premature neonates. A prolonged duration of antibiotic therapy, longer hospital stay, and likelihood of adverse neurologic sequelae during the hospital stay and follow-up should be anticipated in such cases of meningitis.
Sequential interventions to maintain the safety and service provisions of human milk banking in India: keeping up with the call to action in response to the COVID-19 pandemic
Background WHO recommends donor milk as the next best choice if Mothers’ own milk (MOM) is unavailable. At our milk bank, during the COVID 19 pandemic, we observed a steep decline in the collection of donor milk, while Pasteurised Donor human milk (PDHM) demand increased. This called for active intervention. Methods We employed the quasi-experimental quality improvement initiative. During September 2020 (baseline period) the team members identified modifiable bottlenecks and suggested interventions (using WhatsApp to increase follow up, telehealth and digital tools) which were implemented in October 2020 and the impact was evaluated till March 2021. The SMART aim was “to meet the demand (estimated as 15,000 ml/month) of donor milk for adjoining 80-bedded NICU”. Process measures were; daily amount of donor milk collected, pasteurized donor milk disbursed to NICU, number of donors and frequency of donations. The balancing measure was that the collection of donor milk should not undermine the provision of freshly expressed MOM for babies. Results Collection of donor milk increased by 180% from baseline during the Intervention phase. This was sustained throughout the sustenance phase (November 2020 and March 2021) with an average monthly collection of 16,500 ml. Strikingly, the increased follow-up of mothers with emphasis on MOM decreased the NICU’s donor milk requirement from 13,300 ml (baseline) to 12,500 ml (intervention) to 8,300 ml (sustenance). Monitoring of daily MOM used in the NICU revealed a 32% surge from 20,000 ml (baseline) to 27,000 ml (intervention) sustained at 25,000 ml per month. Conclusion By improving the provisions of human milk banks, near-exclusive human milk feeding can be ensured even during the pandemic time.
Sharing Milk and Knowledge in the Neonatal Intensive Care Unit Improves Care for Neonates in a Low- and Middle-Income Population—A North–South Collaboration
Background: Basic healthcare may significantly decrease neonatal morbidity and mortality. Attention to this, particularly in populations where rates of potentially preventable illness and death within the first weeks of life are extremely high, will have a positive impact on global health. Objective: This manuscript presents the development and impact of a quality improvement programme to reduce the evidence–practice gap in care for neonates admitted to the NICU in a public hospital in India. The programme was locally customised for optimal and sustainable results. Method: The backbone of the project was educational exchange of neonatal nurses and physicians between Norway and India. Areas of potential improvement in the care for the neonates were mainly identified by the clinicians and focus areas were subject to dynamic changes over time. In addition, a service centre for lactation counselling and milk banking was established. Progress over the timeframe 2017–2019 was compared with baseline data. Results: The project has shown that after a collaborative effort, there is a significant reduction in mortality from 11% in the year 2016 to 5.5% in the year 2019. The morbidity was reduced, as illustrated by the decrease in the proportion of neonates with culture-proven sepsis. Nutrition improved with consumption of human milk by the NICU-admitted neonates remarkably increasing from one third to more than three forth of their total intake, and weight gain in a subgroup was shown to increase. With the introduction of family participatory care, hours of skin-to-skin contact for the neonates significantly increased. Additional indicators of improved care were also observed. Conclusions: It is feasible to reduce neonatal mortality and morbidity in a low- and middle-income hospitalised population by improving basic care including nutrition relatively inexpensively when utilising human resources.
Moral dilemmas and trust in leaders during a global health crisis
Trust in leaders is central to citizen compliance with public policies. One potential determinant of trust is how leaders resolve conflicts between utilitarian and non-utilitarian ethical principles in moral dilemmas. Past research suggests that utilitarian responses to dilemmas can both erode and enhance trust in leaders: sacrificing some people to save many others (‘instrumental harm’) reduces trust, while maximizing the welfare of everyone equally (‘impartial beneficence’) may increase trust. In a multi-site experiment spanning 22 countries on six continents, participants ( N  = 23,929) completed self-report ( N  = 17,591) and behavioural ( N  = 12,638) measures of trust in leaders who endorsed utilitarian or non-utilitarian principles in dilemmas concerning the COVID-19 pandemic. Across both the self-report and behavioural measures, endorsement of instrumental harm decreased trust, while endorsement of impartial beneficence increased trust. These results show how support for different ethical principles can impact trust in leaders, and inform effective public communication during times of global crisis. Protocol Registration Statement The Stage 1 protocol for this Registered Report was accepted in principle on 13 November 2020. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.13247315.v1 . During a pandemic, trust in leaders is affected by how they resolve moral dilemmas. Across 22 countries, leaders’ endorsement of instrumental harm reduced public trust, while endorsement of impartial beneficence increased trust.
Emotion Inferences: An Integrative and Dynamic Process
Our understanding of what others around us feel, a process referred to as emotion inference, fundamentally shapes our behavior and social interactions. Early work largely focused on how people infer emotions from isolated, static, canonical facial expressions. Accumulating evidence and theoretical advancements suggest that emotion inference, instead, is a complex process that involves making meaning about a target’s experience by dynamically synthesizing information from multiple sources with existing knowledge. Yet, a comprehensive empirical account that captures this complexity is largely missing from the literature. In this dissertation, I propose and systematically test a research framework that addresses this complexity of emotion inference. Across three empirical chapters, I examine how people integrate face and situation cues, represent them in everyday life, and attend to them unfolding dynamically, to infer others’ emotions. I demonstrate that in both static and dynamic instances people largely use information about situations, by integrating it with faces or exclusively relying on it, to infer emotions. In addition to these group-level patterns, I show that people vary in the degree to which they use situational information, that this variation is stable, predicted by emotion knowledge, and has consequences for how precisely individuals infer emotions and represent the underlying psychological features of situations leading to emotions. Together, this work advances our understanding of how people build rich models of others’ emotional lives and illustrates that the complexity of emotion inference has consequences for social lives.