Timothy Css Framework Download
Nichole Wernett
Disease candidate variants were classified using a five-tiered system in accordance with the guidelines outlined by ACMG19,57. For predicted loss-of-function variants, we used specialized ACMG recommendations to apply the PVS1 criteria58. For CNVs, we used a specialized scoring framework proposed by ACMG and Clinical Genome Resource (ClinGen)59.
The authors describe the effects of practice conditions in motor learning (e.g., contextual interference, knowledge of results) within the constraints of 2 experimental variables: skill level and task difficulty. They use a research framework to conceptualize the interaction of those variables on the basis of concepts from information theory and information processing. The fundamental idea is that motor tasks represent different challenges for performers of different abilities. The authors propose that learning is related to the information arising from performance, which should be optimized along functions relating the difficulty of the task to the skill level of the performer. Specific testable hypotheses arising from the framework are also described.
Sustainability theory can help achieve desirable social-ecological states by generalizing lessons across contexts and improving the design of sustainability interventions. To accomplish these goals, we argue that theory in sustainability science must (1) explain the emergence and persistence of social-ecological states, (2) account for endogenous cultural change, (3) incorporate cooperation dynamics, and (4) address the complexities of multilevel social-ecological interactions. We suggest that cultural evolutionary theory broadly, and cultural multilevel selection in particular, can improve on these fronts. We outline a multilevel evolutionary framework for describing social-ecological change and detail how multilevel cooperative dynamics can determine outcomes in environmental dilemmas. We show how this framework complements existing sustainability frameworks with a description of the emergence and persistence of sustainable institutions and behavior, a means to generalize causal patterns across social-ecological contexts, and a heuristic for designing and evaluating effective sustainability interventions. We support these assertions with case examples from developed and developing countries in which we track cooperative change at multiple levels of social organization as they impact social-ecological outcomes. Finally, we make suggestions for further theoretical development, empirical testing, and application.
"Waring, T. M., M. A. Kline, J. S. Brooks, S. H. Goff, J. Gowdy, M. A. Janssen, P. E. Smaldino, and J. Jacquet. 2015. A multilevel evolutionary framework for sustainability analysis. Ecology and Society 20(2): 34."
This qualitative case study uses the Capability Approach (CA) as a framework for experiential learning courses in the Faculty of Arts Humanities and Social Sciences at the University of Windsor, in Ontario, Canada. Specifically, this is a case study of two courses titled Ways of Knowing and Ways of Doing that are offered as undergraduate general credit electives. In this paper, we describe the case study context and provide a brief introduction to the CA. The lead author presents the case study courses' pedagogical framework and describes the materials and methods of the case. Next, we provide a summary of the data collection and analysis alongside thick descriptions of the CA in the context of the case. In the final section, we share reflections for further discussion.
Timothy Easun is a supramolecular coordination chemist, photochemist and spectroscopist with a background in porous metal-organic frameworks, time-resolved spectroscopies, ligand and metal-complex synthesis and photocrystallography.
His current Royal Society University Research Fellowship focus is on the control and understanding of molecular flow in nanostructured framework materials, the dynamic behaviours of stimuli-responsive frameworks, and their applications in water purification.
Dr Easun's research targets the use of photochemistry to control molecular flow in microporous materials in order to make functional nanofluidic devices and water purification materials. This involves the functionalisation of crystalline porous materials, specifically using thermally and photochemically active components to control framework properties and direct guest uptake and release.
My main area of research involves developing the proper evidence-based scientific frameworks for guiding education and practice in behavioral health care. A science-based biopsychosocial framework can resolve much of the theoretical confusion and professional conflict that have long plagued the field. I also do some work in wellness and in health psychology, two distinct specialty areas that nonetheless overlap a great deal.
Melchert, T. P. (2015). Biopsychosocial practice: A science-based framework for behavioral health care. Washington, DC: American Psychological Association. [Selected as a Continuing Education Book Program by the APA in 2016.]
Interest in triple bottom line accounting has been growing across for-profit, nonprofit and government sectors. Many businesses and nonprofit organizations have adopted the TBL sustainability framework to evaluate their performance, and a similar approach has gained currency with governments at the federal, state and local levels.
The TBL is an accounting framework that incorporates three dimensions of performance: social, environmental and financial. This differs from traditional reporting frameworks as it includes ecological (or environmental) and social measures that can be difficult to assign appropriate means of measurement. The TBL dimensions are also commonly called the three Ps: people, planet and profits. We will refer to these as the 3Ps.
Well before Elkington introduced the sustainability concept as "triple bottom line," environmentalists wrestled with measures of, and frameworks for, sustainability. Academic disciplines organized around sustainability have multiplied over the last 30 years. People inside and outside academia who have studied and practiced sustainability would agree with the general definition of Andrew Savitz for TBL. The TBL "captures the essence of sustainability by measuring the impact of an organization's activities on the world ... including both its profitability and shareholder values and its social, human and environmental capital.2
Having discussed the difficulties with calculating the TBL, we turn our attention to potential metrics for inclusion in a TBL calculation. Following that, we will discuss how businesses and other entities have applied the TBL framework.
There is no universal standard method for calculating the TBL. Neither is there a universally accepted standard for the measures that comprise each of the three TBL categories. This can be viewed as a strength because it allows a user to adapt the general framework to the needs of different entities (businesses or nonprofits), different projects or policies (infrastructure investment or educational programs), or different geographic boundaries (a city, region or country).
There are several similar approaches to secure stakeholder participation and input in designing the TBL framework: developing a decision matrix to incorporate public preferences into project planning and decision-making,3 using a "narrative format" to solicit shareholder participation and comprehensive project evaluation,4 and having stakeholders rank and weigh components of a sustainability framework according to community priorities.5 For example, a community may consider an important measure of success for an entrepreneurial development program to be the number of woman-owned companies formed over a five-year time period. Ultimately, it will be the organization's responsibility to produce a final set of measures applicable to the task at hand.
The application of the TBL by businesses, nonprofits and governments are motivated by the principles of economic, environmental and social sustainability, but differ with regard to the way they measure the three categories of outcomes. Proponents who have developed and applied sustainability assessment frameworks like the TBL encountered many challenges, chief among them, how to make an index that is both comprehensive and meaningful and how to identify suitable data for the variables that compose the index.
State, regional and local governments are increasingly adopting the TBL and analogous sustainability assessment frameworks as decision-making and performance-monitoring tools. Maryland, Minnesota, Vermont, Utah, the San Francisco Bay Area and Northeast Ohio area have conducted analyses using the TBL or a similar sustainability framework.
There are challenges to putting the TBL into practice. These challenges include measuring each of the three categories, finding applicable data and calculating a project or policy's contribution to sustainability. These challenges aside, the TBL framework allows organizations to evaluate the ramifications of their decisions from a truly long-run perspective.
Citation: Tangherlini TR, Shahsavari S, Shahbazi B, Ebrahimzadeh E, Roychowdhury V (2020) An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web. PLoS ONE 15(6): e0233879.
Recognizing that people rarely tell complete stories [59], and that random sampling from an internet forum would potentially miss important actants and their relationships, we present an automated pipeline for aggregating actants and relationships from as comprehensive a collection as possible of posts or articles about a particular conspiracy or conspiracy theory in order to discover the underlying narrative framework. The actants are combined into supernodes consisting of subnodes that represent the context dependent relationships of that actant. The relationships constitute the edges that connect nodes, which are in turn ranked based on their significance. The resulting network graph comprises the generative narrative framework. The pipeline we have developed is domain independent, and enables the automatic discovery of the underlying narrative framework or frameworks for any domain or group of domains. As such, the pipeline is agnostic to input, and does not presuppose a single narrative framework for any target corpus, nor does it presuppose any classification into narrative classes (e.g. conspiracy theory or conspiracy) for that corpus.
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