scholarly journals Social stress as a priming mechanism for Thermal Tolerance During a Poleward Range Shift

2018 ◽  
Author(s):  
Connor Wood ◽  
Robert N. L. Fitt ◽  
Lesley T. Lancaster
Keyword(s):  
Cold Tolerance ◽  
Social Factors ◽  
Social Stress ◽  
Social Dynamics ◽  
Critical Role ◽  
Field Studies ◽  
Range Shift ◽  
Allee Effects ◽  
Social Environments ◽  
Factors Affecting

AbstractCold tolerance plays a critical role in determining species’ geographical range limits. Previous studies have found that range shifts in response to climate warming are facilitated by cold acclimation capacities, due to increasingly colder and variable weather at high latitudes, and that cold tolerance can also be influenced by social factors. In this study we combined experiments and field studies to investigate the climatic and social factors affecting cold tolerances in range-shifting populations of the female-polymorphic damselfly Ischnura elegans in northeast Scotland. In the field, we observed both environmental (measured via habitat suitability) and social (sex ratio and density) effects on cold tolerance (CTmin). Androchrome females (male-like females) were less susceptible to beneficial social effects on cold tolerance than gynochromes (female-like females), and correspondingly, gynochrome frequency increased at colder, environmentally-limiting sites towards the range margin. Our manipulations of density in the laboratory further provide novel, experimental evidence that social interactions directly impact cold tolerance n this species. These results suggest that reciprocal effects of social environments on thermal acclimation may be an important but commonly overlooked aspect of allee effects which contribute to the formation of range margins. Moreover, our results point to a wider need to consider the role of population and social dynamics to shape both the thermal physiology of individuals and the thermal niches of species.

Conceptualizing intragroup and intergroup dynamics within a controlled crowd evacuation

2015 ◽  
Vol 13 (2) ◽  
pp. 109 ◽  
Author(s):  
Terra Elzie, ME ◽  
Erika Frydenlund, MS ◽  
Andrew J. Collins, PhD ◽  
R. Michael Robinson, PhD
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Social Factors ◽  
Social Dynamics ◽  
Critical Role ◽  
Group Behavior ◽  
Future Research ◽  
Individual Level ◽  
Crowd Modeling ◽  
The Individual

Social dynamics play a critical role in successful pedestrian evacuations. Crowd modeling research has made progress in capturing the way individual and group dynamics affect evacuations; however, few studies have simultaneously examined how individuals and groups interact with one another during egress. To address this gap, the researchers present a conceptual agent-based model (ABM) designed to study the ways in which autonomous, heterogeneous, decision-making individuals negotiate intragroup and intergroup behavior while exiting a large venue. A key feature of this proposed model is the examination of the dynamics among and between various groupings, where heterogeneity at the individual level dynamically affects group behavior and subsequently group/group interactions. ABM provides a means of representing the important social factors that affect decision making among diverse social groups. Expanding on the 2013 work of Vizzari et al., the researchers focus specifically on social factors and decision making at the individual group and group/group levels to more realistically portray dynamic crowd systems during a pedestrian evacuation. By developing a model with individual, intragroup, and intergroup interactions, the ABM provides a more representative approximation of real-world crowd egress. The simulation will enable more informed planning by disaster managers, emergency planners, and other decision makers. This pedestrian behavioral concept is one piece of a larger simulation model. Future research will build toward an integrated model capturing decision-making interactions between pedestrians and vehicles that affect evacuation outcomes.

Correlates of and interrelationships among social stressors, relationship quality, and family functioning among informal cancer caregivers.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 230-230
Author(s):  
Erin E. Kent ◽  
Kristin Litzelman ◽  
Julia Howe Rowland
Keyword(s):  
Palliative Care ◽  
Family Functioning ◽  
Relationship Quality ◽  
Cancer Patients ◽  
Social Factors ◽  
Social Stress ◽  
Critical Role ◽  
Informal Caregivers ◽  
Well Being ◽  
Effect Sizes

230 Background: Informal/family caregivers play a critical role in supporting cancer patients and are often an important part of the palliative care team. To better understand how informal caregivers are influenced by their role and inform future interventions, this study sought to evaluate the distribution and correlates of social and family factors among caregivers of cancer patients. Methods: This cross-sectional study used data from the Cancer Care Outcomes Research & Surveillance Consortium (CanCORS). Lung and colorectal cancer patients nominated an informal caregiver to participate in a caregiving survey. Caregivers reported their sociodemographic and caregiving characteristics, social stress, relationship quality with the patient, and family functioning. Descriptive statistics were used to assess the distribution of caregivers’ social factors. Multivariable linear regressions were used to examine the independent correlates of each social factor. Results: Most caregivers reported low-to-moderate levels of social stress and good relationship quality and family functioning. In multivariable analyses older age was associated with lower social stress and better family functioning, but worse relationship quality, with effect sizes (Cohen’s D) up to 0.40 (p < 0.05). Caring for a female patient was associated with lower social stress and better relationship quality, but worse family functioning (effect sizes up to 0.16, p < 0.05). Few caregiving characteristics were associated with social stress, while several were significant independent correlates of relationship quality. Finally, social factors were important independent correlates of one another. Conclusions: The results highlight the importance of personal and caregiving-related characteristics and the broader family context to social factors. As social factors may play an important role in the health, quality of life, and caregiving efficacy of informal caregivers, future work is needed to better understand these pathways and assess whether interventions targeting social factors can improve caregiver well-being, thereby potentially improving patient-centered palliative care.

The Sayan borderlands: Tuva’s ethnocultural landscapes in changing natural and sociocultural environments

2020 ◽  
Vol 13 (1) ◽  
pp. 29-36
Author(s):  
D. A. Dirin ◽  
Paul Fryer
Keyword(s):  
Cultural Landscapes ◽  
Field Studies ◽  
Social Environments ◽  
Key Factors ◽  
Role Of Government ◽  
Literary Sources ◽  
Population Migrations ◽  
The Republic ◽  
Sociocultural Processes ◽  
First Time

The paper is devoted to ethno-cultural landscapes of the Republic of Tuva. Ethnocultural landscapes (ECLs) are specific socio-environmental systems that developed as a result of the interaction of ethnic groups with their natural and social environments and are in a constant process of transformation. An attempt is made to identify the mechanisms of the formation, functioning and dynamics of ethnocultural landscapes in the specific conditions of the intracontinental cross-border mountain region, as well as to establish the main factors-catalysts of their modern changes. For the first time an attempt is made to delimit and map the ethnocultural landscapes of Tuva. For this, literary sources, statistical data and thematic maps of different times are analyzed using geoinformation methods. The results of 2014-2018 field studies are also used, during which interviews with representatives of different ethno-territorial, gender, age and social groups were taken. It is revealed that the key factors of Tuva’s ethnocultural landscape genesis are the natural isolation of its territory; the features of its landscape structure; the role of government; population migrations from other regions and the cultural diffusion provoked by them. 13 ethnocultural landscapes are identified at the regional level. Their modern transformation is determined by the shift of climatic cycles, aridisation, globalisation of sociocultural processes, changes in economic specialisation and ethnopsychological stereotypes.

Segments Influencing Individual Investors Behavior And Their Investment Decision

2019 ◽  
Vol 118 (9) ◽  
pp. 154-160
Author(s):  
Dr. Kartikey Koti
Keyword(s):  
Decision Making ◽  
Social Factors ◽  
Stock Markets ◽  
Investment Decision ◽  
Individual Investors ◽  
Factors Affecting ◽  
The Social ◽  
Karnataka State ◽  
Essential Idea

The essential idea of this assessment is investigate the social factors affecting particular theorists' decisions making limit at Indian Stock Markets. In the examination coordinated standard of direct is Classified subject to two estimations the first is Heuristic (Decision making) and the resulting one is prospect.. For the assessment coordinated the data used is basic natured which is assembled through a sorted out survey from 100 individual money related authorities based out in Hubli and Dharwad city, Karnataka State in India on an accommodating way. The respondents were both sex and overwhelming part male were 68% . These theorists were having a spot with the age bundle between35-45 which is 38%. These respondents have completed their graduation were around 56%. These respondents had work inclusion of 5 to 10 years which is 45% and the majority of which were used in government portion which is 56%. Their compensation was between 4 to 6 Lakh and were fit for placing assets into business areas. The money related experts were widely masterminded placing assets into different portfolios like 32% in Share market and 20 % in Fixed store. These examiners mode to known various endeavor streets were through News, family and allies.  

Cultural Factors Affecting the Negotiation of First Sexual Intercourse among Latina Adolescent Mothers

1998 ◽  
Vol 18 (1) ◽  
pp. 121-137 ◽  
Author(s):  
Pamela I. Erickson
Keyword(s):  
Los Angeles ◽  
Sexual Intercourse ◽  
Adolescent Mothers ◽  
Social Factors ◽  
Birth Rate ◽  
Factors Affecting ◽  
First Sexual Intercourse ◽  
Latina Adolescent Mothers ◽  
Adolescent Birth ◽  
First Time

In 1995, the Latina adolescent birth rate surpassed that of African Americans for the first time. This article investigates cultural and social factors affecting the initiation of sexual intercourse among Latina adolescent mothers in Los Angeles. The data are from life history interviews with forty young mothers and their partners conducted in 1994 to 1997. Results suggest that sexual intercourse is initiated within the context of the couple's developing relationship, and that the course of relationships is highly scripted. Men pressure for sex and women resist. Women should be ignorant about sex, but control access to intercourse. Sex is never discussed. Thus, it is unexpected, and contraception other than withdrawal is not used. This script places young Latinas at enormous risk for pregnancy and STDs.

Genetic and Epigenetic landscape of leukocyte infiltration identifies an immune prognosticator in lung adenocarcinoma

2021 ◽  
pp. 1-13
Author(s):  
Seema Khadirnaikar ◽  
Annesha Chatterjee ◽  
Sudhanshu Kumar Shukla
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Cox Regression ◽  
Strong Association ◽  
Critical Role ◽  
Significant Proportion ◽  
Immune Gene ◽  
Leukocyte Infiltration ◽  
Clinical Genetic ◽  
Factors Affecting

BACKGROUND: Leukocyte infiltration plays an critical role in outcome of various diseases including Lung adenocarcinoma (LUAD). OBJECTIVES: To understand the genetic and epigenetic factors affecting leukocyte infiltration and identification and validation of immune based biomarkers. METHOD: Correlation analysis was done to get the associations of the factors. CIBERSORT analysis was done for immune cell infiltration. Genetic and epigenetic analysis were performed. Cox regression was carried out for survival. RESULTS: We categorized the TCGA-LUAD patients based on Leukocyte fraction (LF) and performed extensive immunogenomic analysis. Interestingly, we showed that LF has a negative correlation with copy number variation (CNV) but not with mutational load. However, several individual genetic mutations, including KRAS and KEAP1, were significantly linked with LF. Also, as expected, patients with high LF showed significantly increased expression of genes involved in leukocyte migration and activation. DNA methylation changes also showed a strong association with LF and regulated a significant proportion of genes associated with LF. We also developed and validated an independent prognostic immune signature using the top six prognostic genes associated with LF. CONCLUSION: Together, we have identified clinical, genetic, and epigenetic variations associated with LUAD LF and developed an immune gene-based signature for disease prognostication.

Factors Affecting Productivity of Refuse Compactor Vehicles in India

2021 ◽  
Vol 47 (3) ◽  
pp. 529-535
Author(s):  
Khant Shah ◽  
Devanshu Pandit
Keyword(s):  
Solid Waste Management ◽  
Field Studies ◽  
Operating Costs ◽  
Municipal Solid Waste Management ◽  
Critical Factors ◽  
Factors Affecting ◽  
Operation Optimization ◽  
Selection Parameters ◽  
Evaluation And Monitoring ◽  
Hierarchy Process

Shift towards mechanization in the municipal solid waste management (MSWM) is aimed at improving health wellbeing of the workers who are manually handling waste. With huge investment and operating costs, proper evaluation and monitoring of the performances of these equipment is essential. Identifying and rating the factors which impact the performance of equipment is the first step towards improving efficiency of a system. This research identifies the critical factors and issues in the operation optimization of refuse compactor vehicles. Interviews with experts and field studies helped in identification of 30 factors which were divided in five categories. The research uses analytical hierarchy process (AHP) for finding out the priority vectors of thus identified factors and categories. The study also highlights equipment selection parameters for the best suited model and make.

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