scholarly journals Variation in fecal egg counts in horses managed for conservation purposes: individual egg shedding consistency, age effects and seasonal variation

Parasitology ◽  
2012 ◽  
Vol 140 (1) ◽  
pp. 115-128 ◽  
Author(s):  
E. L. D. WOOD ◽  
J. B. MATTHEWS ◽  
S. STEPHENSON ◽  
M. SLOTE ◽  
D. H. NUSSEY
Keyword(s):  
Seasonal Variation ◽  
Seasonal Dynamics ◽  
Intestinal Parasites ◽  
Age Effects ◽  
Total Variance ◽  
Individual Level ◽  
Monthly Temperature ◽  
Fecal Egg Count ◽  
The Individual ◽  
Over Time

SUMMARYCyathostomins are the most prevalent equine intestinal parasites and resistance has been reported in these nematodes against all 3 licensed anthelmintic classes. Strategies need to be developed that are less dependent upon drugs and more reliant on management-based control. To develop these we need to understand natural transmission patterns better. Here, we analysed longitudinal fecal egg count (FEC) data from 5 pony populations used for conservation purposes. We tested how egg excretion varied amongst populations and individuals, and how this was affected by age and climate. There was evidence for consistency in FECs over time at the individual level; this was generally weak and accounted for <10% of the total variance. Animals <5 years old had higher FECs and there was profound seasonal variation in FECs, with highest levels recorded in spring/summer. Effects of monthly temperature and rainfall explained most, but not all, of the observed seasonal variation and associations between climate measures and FECs were stronger in younger versus adult animals. One population was occasionally treated with anthelmintics and analysis of this population suggested that treatment substantially altered the seasonal dynamics. This paper highlights the variability in strongyle egg excretion amongst individuals and the factors involved in this variation.

Personality change and environmental concerns

2020 ◽  
Author(s):  
Christopher James Hopwood ◽  
Ted Schwaba ◽  
Wiebke Bleidorn
Keyword(s):  
Personality Traits ◽  
Personality Change ◽  
Environmental Concerns ◽  
Big Five Personality ◽  
German Population ◽  
Individual Level ◽  
Sustainable Behavior ◽  
Nationally Representative ◽  
The Individual ◽  
Over Time

Personal concerns about climate change and the environment are a powerful motivator of sustainable behavior. People’s level of concern varies as a function of a variety of social and individual factors. Using data from 58,748 participants from a nationally representative German sample, we tested preregistered hypotheses about factors that impact concerns about the environment over time. We found that environmental concerns increased modestly from 2009-2017 in the German population. However, individuals in middle adulthood tended to be more concerned and showed more consistent increases in concern over time than younger or older people. Consistent with previous research, Big Five personality traits were correlated with environmental concerns. We present novel evidence that increases in concern were related to increases in the personality traits neuroticism and openness to experience. Indeed, changes in openness explained roughly 50% of the variance in changes in environmental concerns. These findings highlight the importance of understanding the individual level factors associated with changes in environmental concerns over time, towards the promotion of more sustainable behavior at the individual level.

Canada’s changing innovation landscape

2021 ◽  
Author(s):  
Md. Razib Alam ◽  
Bonwoo Koo ◽  
Brian Paul Cozzarin
Keyword(s):  
The United States ◽  
Destination Country ◽  
Firm Level ◽  
Individual Level ◽  
Patent Classification ◽  
The Usa ◽  
The Government ◽  
The Individual ◽  
The University ◽  
Over Time

Abstract Our objective is to study Canada’s patenting activity over time in aggregate terms by destination country, by assignee and destination country, and by diversification by country of destination. We collect bibliographic patent data from the Canadian Intellectual Property Office and the United States Patent and Trademark Office. We identify 19,957 matched Canada–US patents, 34,032 Canada-only patents, and 43,656 US-only patents from 1980 to 2014. Telecommunications dominates in terms of International Patent Classification technologies for US-only and Canada–US patents. At the firm level, the greatest number of matched Canada–US patents were granted in the field of telecommunications, at the university level in pharmaceuticals, at the government level in control and instrumentation technology, and at the individual level in civil engineering. We use entropy to quantify technological diversification and find that diversification indices decline over time for Canada and the USA; however, all US indices decline at a faster rate.

scholarly journals Discordant Chronic Conditions and Depressive Symptoms: Longitudinal Associations Among Middle-Aged and Older Couples

2019 ◽  
Author(s):  
Courtney A Polenick ◽  
Kira S Birditt ◽  
Angela Turkelson ◽  
Benjamin C Bugajski ◽  
Helen C Kales
Keyword(s):  
Depressive Symptoms ◽  
Marital Quality ◽  
Chronic Conditions ◽  
Later Life ◽  
Well Being ◽  
Middle Aged ◽  
Older Couples ◽  
Individual Level ◽  
The Individual ◽  
Over Time

Abstract Objectives Individuals often manage chronic conditions in middle and later life that may diminish well-being. Little is known, however, about discordant conditions (i.e., two or more conditions with competing self-management requirements) among older couples and their links to depressive symptoms. We considered discordant conditions at both the individual level and the couple level (i.e., between spouses), along with their long-term implications for depressive symptoms. Methods The U.S. sample included 1,116 middle-aged and older couples drawn from five waves (2006–2014) of the Health and Retirement Study. Longitudinal actor-partner interdependence models evaluated whether individual-level and couple-level discordant chronic health conditions were concurrently linked to depressive symptoms, and whether these associations became stronger over time. Models controlled for age, minority status, education, prior wave depressive symptoms, and each partner’s baseline report of negative marital quality and number of chronic conditions in each wave. Results Wives and husbands reported significantly greater depressive symptoms when they had individual-level discordant conditions about 2 years after baseline, and these links intensified over time. Beyond this association, husbands had significantly greater depressive symptoms when there were couple-level discordant conditions. Discussion Individual-level and couple-level discordant conditions may have lasting implications for depressive symptoms during midlife and older adulthood.

The Development of Distinct Choice Process Segments over Time: A Stochastic Modeling Approach

1982 ◽  
Vol 46 (2) ◽  
pp. 48-59 ◽  
Author(s):  
Donald R. Lehmann ◽  
William L. Moore ◽  
Terry Elrod
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Stochastic Modeling ◽  
Information Acquisition ◽  
Response Behavior ◽  
Model Framework ◽  
Individual Level ◽  
Amount Of Information ◽  
The Individual ◽  
Over Time

This paper examines Howard's (1963) typology dividing decision making into extensive problem solving (ESP), limited problem solving (LSP), and routinized response behavior (RRB). Specifically, the amount of information accessed in a longitudinal experiment is studied. Information acquisition is modeled stochastically at the individual level, and the existence of two segments (LSP and RRB) is tested in a nested-model framework.

A CONNECTIONIST ABM OF SOCIAL CATEGORIZATION PROCESSES

2012 ◽  
Vol 15 (06) ◽  
pp. 1250077 ◽  
Author(s):  
DIRK VAN ROOY
Keyword(s):  
Social Influence ◽  
Network Structure ◽  
Social Adaptation ◽  
Multiple Sources ◽  
Agent Based ◽  
Individual Level ◽  
Extensive Research Program ◽  
Micro Level ◽  
The Individual ◽  
Over Time

This paper introduces a connectionist Agent-Based Model (cABM) that incorporates detailed, micro-level understanding of social influence processes derived from laboratory studies and that aims to contextualize these processes in such a way that it becomes possible to model multidirectional, dynamic influences in extended social networks. At the micro-level, agent processes are simulated by recurrent auto-associative networks, an architecture that has a proven ability to simulate a variety of individual psychological and memory processes [D. Van Rooy, F. Van Overwalle, T. Vanhoomissen, C. Labiouse and R. French, Psychol. Rev. 110, 536 (2003)]. At the macro-level, these individual networks are combined into a "community of networks" so that they can exchange their individual information with each other by transmitting information on the same concepts from one net to another. This essentially creates a network structure that reflects a social system in which (a collection of) nodes represent individual agents and the links between agents the mutual social influences that connect them [B. Hazlehurst, and E. Hutchins, Lang. Cogn. Process. 13, 373 (1998)]. The network structure itself is dynamic and shaped by the interactions between the individual agents through simple processes of social adaptation. Through simulations, the cABM generates a number of novel predictions that broadly address three main issues: (1) the consequences of the interaction between multiple sources and targets of social influence (2) the dynamic development of social influence over time and (3) collective and individual opinion trajectories over time. Some of the predictions regarding individual level processes have been tested and confirmed in laboratory experiments. In a extensive research program, data is currently being collected from real groups that will allow validating the predictions of cABM regarding aggregate outcomes.

Redistribution under the Social Security benefit formula at the individual and household levels, 1992 and 2004

2012 ◽  
Vol 12 (1) ◽  
pp. 1-27 ◽  
Author(s):  
ALAN L. GUSTMAN ◽  
THOMAS L. STEINMEIER ◽  
NAHID TABATABAI
Keyword(s):  
Social Security ◽  
Labor Force Participation ◽  
Social Security Benefit ◽  
Household Level ◽  
Individual Level ◽  
The Social ◽  
High Earning ◽  
Using Data ◽  
The Individual ◽  
Over Time

AbstractStudies using data from the early 1990s suggested that while the progressive Social Security benefit formula succeeded in redistributing benefits from individuals with high earnings to individuals with low earnings, it was much less successful in redistributing benefits from households with high earnings to households with low earnings. Wives often earned much less than their husbands. As a result, much of the redistribution at the individual level was effectively from high earning husbands to their own lower earning wives. In addition, spouse and survivor benefits accrue disproportionately to women from high income households. Both factors mitigate redistribution at the household level. It has been argued that with the increase in the labor force participation and earnings of women, Social Security now should do a better job of redistributing benefits at the household level. To be sure, when we compare outcomes for a cohort with a household member age 51 to 56 in 1992 with those from a cohort born twelve years later, redistribution at the household level has increased over time. Nevertheless, as of 2004 there still is substantially less redistribution of benefits from high to low earning households than from high to low earning individuals.

Identified Employee Surveys: Potential Promise, Perils, and Professional Practice Guidelines

2011 ◽  
Vol 4 (4) ◽  
pp. 435-448 ◽  
Author(s):  
Lise M. Saari ◽  
Charles A. Scherbaum
Keyword(s):  
Professional Practice ◽  
Practice Guidelines ◽  
Organizational Outcomes ◽  
Employee Attitudes ◽  
Point Of View ◽  
Survey Respondent ◽  
Individual Level ◽  
Linkage Analyses ◽  
The Individual ◽  
Over Time

Over the years, employee opinion surveys have evolved in their use and how they are conducted. A major advancement has been the use of linkage analyses, whereby employee attitudes at a unit level are statistically related to other important organizational outcomes. A more recent development has been linkage analyses at the individual level and over time. In order to carry out these types of analyses, “identified surveys” must be used—surveys that retain identifying information on each survey respondent in order to link with other individual-level variables over time. The purpose of this article is to open up a discussion on identified surveys, describe under what circumstances they may be uniquely beneficial, and highlight potential concerns with them. We close with proposed guidelines for professional practice and recommend that our profession have a point of view on identified surveys for ourselves and to advise others.

College Students' Academic Motivation and Engagement

2018 ◽  
pp. 123-141
Keyword(s):  
College Students ◽  
Academic Motivation ◽  
Individual Level ◽  
Motivational Constructs ◽  
Motivation And Engagement ◽  
The Individual ◽  
Longitudinal Relationships ◽  
Over Time

While the previous chapter focused on examining the complex and dynamic associations among different motivational constructs, this chapter aims at exploring their longitudinal relationships, whether the associations are stable over time at the individual level and across gender. It also examines whether different motivational constructs impact on other motivational constructs over time. The results showed that all motivational constructs were moderately stable over the college years for the whole group.

Cohort studies

2021 ◽  
pp. 85-100
Author(s):  
Alvaro Muñoz ◽  
F. Javier Nieto
Keyword(s):  
Cohort Studies ◽  
Individual Level ◽  
Cohort Design ◽  
Data Analyses ◽  
Disease Occurrence ◽  
Using Data ◽  
The Individual ◽  
Inference Methods ◽  
Over Time

The simplest cohort design is to obtain exposure data at baseline and follow-up individuals to obtain data up to the point when the event of interest occurs. A richer design includes regularly scheduled visits at which data on exposures are updated. The exposures can be either fixed over time (e.g. race), change directly with time (e.g. age and calendar), or change at their own pace (e.g. biological markers). According to the scientific aims of a cohort study, disease occurrence can be measured as an event in person-time, time-to-endpoint of interest, or change in a biomarker repeatedly measured at follow-up visits. Analytical methods include survival analyses to handle censored observations and late entries due to incomplete observation of the development of events and origin, and longitudinal data analyses for the trajectories of markers of disease progression. Stratification, multivariate regression, and causal inference methods are key tools to accomplish comparability among exposed and unexposed groups. Identification of exposures and risk factors for disease provides a basis for prevention strategies. Data from cohort studies can be used to assess the effects of interventions by using data at the individual level to determine individual effectiveness or by comparing occurrence of disease in the population when typically none or only a few are intervened to determine population effectiveness.

Routine clinical outcome measures for patients with severe mental illness: CANSAS and HoNOS

1999 ◽  
Vol 174 (5) ◽  
pp. 404-408 ◽  
Author(s):  
Mike Slade ◽  
Andrew Beck ◽  
Jonathan Bindman ◽  
Graham Thornicroft ◽  
Steve Wright
Keyword(s):  
Social Functioning ◽  
Daily Living ◽  
Outcome Measure ◽  
Clinical Use ◽  
Individual Level ◽  
Case Load ◽  
Camberwell Assessment Of Need ◽  
The Individual ◽  
Over Time ◽  
Assessment Of Need

BackgroundTwo recently developed measures intended for clinical use are HoNOS (Health of the Nation Outcome Scales), measuring social functioning, and CANSAS (Camberwell Assessment of Need Short Appraisal Schedule), for measuring need.AimsWe investigated the association between CANSAS and HoNOS.ResultsFor some domains there were substantial associations, with high HoNOS rating correlated with CANSAS rating of the presence of a need. For other areas the agreement was less than might be expected. Seven factors were identified within the 22 CANSAS domains, and the presence of needs in the Drug/alcohol and Activities of daily living factors was associated with high scores in the related HoNOS domains.ConclusionsCANSAS and HoNOS assessments differ. HoNOS can track changes in social functioning over time, but may be less useful for treatment planning, and should not be used to infer the level of morbidity in a case-load. CANSAS indicates when treatment should be commenced or continued. It can also be used as a case-load measure, but may be insufficiently sensitive to be used as an outcome measure at the individual level.

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