Defining Function: How Student Definitions Compare to Literature and Function Model Generation

Author(s):  
Apurva Patel ◽  
Joshua D. Summers ◽  
Brian Davenport

Abstract The concept of “function” serves various purposes in engineering design, resulting in a variety of definitions for the same term. This paper presents an analysis of function definitions provided by mechanical engineering students as part of a larger protocol study on function modeling behaviors. This work investigates the relationships between student definitions of function and their corresponding completed function models. Student definitions are also compared to those found in literature using a topical analysis. Student definitions tend to skew towards one topic, whereas definitions in literature are found to be more likely to contain a combination of topics. Subsequently, student definitions are compared to the function models generated by students based on the size and completeness evaluation of models. Larger function models are found to be correlated to definitions that include terms such as “input/output” and “process”. Definitions that use terms such as “task” and “action” are found to have higher evaluation scores, but the differences are small in magnitude. In general, the activity of creating a function model was found to influence how students define function. Finally, limitations of the work are discussed along with future research directions.

2016 ◽  
pp. 1043-1063
Author(s):  
T. Ray Ruffin ◽  
Joyce Marie Hawkins ◽  
D. Israel Lee

Policies, health, and government regulations affect various Health Care organizations and their members. One such policy, the Health Information Technology for Economic and Clinical Health (HITECH) Act, attempts to improve the performance of health care systems through the use of technology, such as Electronic Health Records (Bluementhal, 2010). The most critical task of leadership is to establish a mindset at the top of the organization and function to infuse a culture of excellence throughout the organization (Bentkover, 2012). Health organizations can only progress if their members share a set of values and are single-mindedly committed to achieving openly defined objectives (Bentkover, 2012). This chapter investigates organizational leadership in relation to health care reforms to include trends in health care leadership, Stratified Systems Theory (SST), Systems Thinking, and regulators perspectives. The chapter will consist of the following sections: background; issues controversies, and problems; solutions and recommendation; future research directions; and conclusion.


2021 ◽  
Vol 15 ◽  
Author(s):  
Nounagnon Frutueux Agbangla ◽  
Pauline Maillot ◽  
Damien Vitiello

The cardiorespiratory hypothesis (CH) is one of the hypotheses used by researchers to explain the relationship between cardiorespiratory fitness and cognitive performance during executive functions. Despite the indubitable beneficial effect of training on brain blood flow and function that may explain the link between physical fitness and cognition and the recognition of the near-infrared spectroscopy (NIRS) as a reliable tool for measuring brain oxygenation, few studies investigated the CH with NIRS. It is still not well understood whether an increase in brain flow by training is translated into an increase in cerebral oxygenation. Thus, the objective of this mini-review was to summarize main results of studies that investigated the CH using the NIRS and to propose future research directions.


2020 ◽  
pp. 088626052095864
Author(s):  
Neil Shortland ◽  
Elias Nader ◽  
Lisa Thompson ◽  
Marek Palasinski

Scholars have extensively discussed the topic of “online radicalization,” often seeking to understand the form and function of online extremist material. However, this work has neglected to examine the role that the Internet plays alongside individual personality factors in the process through which someone develops violent extremist cognitions. This article aims to extend the understanding of the role of personality differences in the effect of exposure to extremist material online. In this study, we experimentally measure the short-term psychological consequences of exposure to extremist material on extremist cognitions. We use a between-group experimental design in which participants are shown extremist propaganda with either pre- or post-counter messages. Our results indicate that trait personality, and specifically aggression, may be more influential than exposure to extremist propaganda in influencing extremist cognitions. We discuss the implications of these results in the context of future research directions.


2020 ◽  
Vol 52 (4) ◽  
pp. 531-537 ◽  
Author(s):  
Yoontae Lee

Abstract Capicua (CIC) is an evolutionarily conserved transcription factor. CIC contains a high-mobility group (HMG) box that recognizes specific DNA sequences to regulate the expression of various target genes. CIC was originally identified in Drosophila melanogaster as a transcriptional repressor that suppresses the receptor tyrosine kinase signaling pathway. This molecule controls normal organ growth and tissue patterning as well as embryogenesis in Drosophila. Recent studies have also demonstrated its extensive functions in mammals. For example, CIC regulates several developmental and physiological processes, including lung development, abdominal wall closure during embryogenesis, brain development and function, neural stem cell homeostasis, T cell differentiation, and enterohepatic circulation of bile acids. CIC is also associated with the progression of various types of cancer and neurodegeneration in spinocerebellar ataxia type-1, systemic autoimmunity, and liver injury. In this review, I provide a broad overview of our current understanding of the regulation and functions of CIC in mammals and discuss future research directions.


Author(s):  
Kilian Gericke ◽  
Boris Eisenbart

AbstractResearch and industrial practice have produced a host of function models and modeling approaches over the last decades. Each of these is meant to support designers in their design endeavors. Industrial practice is excessively diversified in terms of contextual requirements, aims, and adopted processes; this automatically begs the question which of the existing models should be selected for application in a specific situation. This paper sets out to contribute to this discourse. It strives to benchmark the fairly novel integrated function modeling (IFM) framework against the well-established function structures modeling approach. The paper comparatively investigates the respective capabilities of the approaches, following the benchmarking protocol used earlier in relation to this Special Issue. Function structures are used as reference as they represent one of the most widespread function modeling approaches in research and practice. Both function structures and the IFM framework are exemplarily applied for modeling a glue gun. The gradual generation and refinement of the models is used to showcase their respective benefits and shortcomings. Eventually, the IFM framework is found to excel over function structures in terms of comprehensiveness and support for different types of function analyses. Finally, future research directions are proposed.


2021 ◽  
Vol 22 (15) ◽  
pp. 8309
Author(s):  
Sung-Min Won ◽  
Eunju Park ◽  
Jin-Ju Jung ◽  
Raja Ganesan ◽  
Haripriya Gupta ◽  
...  

In chronic liver disease, the causative factor is important; however, recently, the intestinal microbiome has been associated with the progression of chronic liver disease and the occurrence of side effects. The immune system is affected by the metabolites of the microbiome, and diet is the primary regulator of the microbiota composition and function in the gut–liver axis. These metabolites can be used as therapeutic material, and postbiotics, in the future, can increase or decrease human immunity by modulating inflammation and immune reactions. Therefore, the excessive intake of nutrients and the lack of nutrition have important effects on immunity and inflammation. Evidence has been published indicating that microbiome-induced chronic inflammation and the consequent immune dysregulation affect the development of chronic liver disease. In this research paper, we discuss the overall trend of microbiome-derived substances related to immunity and the future research directions.


2015 ◽  
Vol 22 (3) ◽  
pp. 327-349 ◽  
Author(s):  
MYRIAM HERNÁNDEZ-ALVAREZ ◽  
JOSÉ M. GOMEZ

AbstractBibliometric calculations currently used to assess the quality of researchers, articles, and scientific journals have serious structural problems; many authors have noted the weakness of citation counts, because they are purely quantitative and do not differentiate between high- and low-citing papers. If a paper’s reputation is simply evaluated according to the number of its citations, then incomplete, incorrect, or controversial articles may be promoted, regardless of their relevancy. Therefore, perverse incentives are generated for researchers who may publish many incorrect or incomplete papers to achieve high impact indexes. It is essential to improve the objective criteria for automatic article-quality assessments. However, to obtain these new criteria, it is necessary to advance the programmed detection of context, polarity, and function of bibliographic references.We present an overview of general concepts and review contributions to the solutions to problems related to these issues, with the purpose of identifying trends and suggesting possible future research directions.


Author(s):  
Apurva Patel ◽  
William S. Kramer ◽  
Michelle Flynn ◽  
Joshua D. Summers ◽  
Marissa L. Shuffler

This paper presents a protocol study conducted with mechanical engineering students, where the participants developed a function structure model for a novel design problem. A modeling activity video was recorded for each participant and coded using a protocol analysis. Pauses in the modeling process were analyzed to identify patterns based on pause time and frequency, distribution of pauses over the modeling activity, events following the pauses, and elements added after pauses. Results show that participants used an average of 38% of the modeling time in pauses with a pause frequency of 41%. Moreover, participants were also found to spend more time in pauses during the second and third quarters of the modeling activity. Subsequently, an analysis of pause lengths revealed three different pause groups corresponding to short, intermediate, and long pauses. Participants added elements to the model significantly more frequently, compared to editing and deleting elements. Instances of deleting were found to be more likely to occur after longer pauses, whereas editing was done more frequently after shorter pauses. Participants paused more frequently before adding flows, and more frequent pauses were observed before labeling function compared to adding function blocks. The flows were found to be labeled after pauses infrequently. Finally, limitations of the study are discussed, and future research questions have been identified.


2019 ◽  
Vol 8 (4) ◽  
pp. 2384-2389

Personality, a typical way of thinking, feeling, and behaviour. Personality embraces moods, attitudes and views and is expressed most obviously in relationships with others. It involves both intrinsic and acquired behavioural features that differentiate one individual from another and can be found in the relationships of people with the surroundings and with the social group. With the development of social networks, a broad variety of techn iques have been developed to identify user personalities based on their social activities and language usage practices. In terms of distinct machine learning algorithms, information sources and function sets, particular methods vary. Personality prediction has been an important research topic for describing user profiles and person not only in psychology but also in computer science. This paper presents a systematic survey of current work done of personality prediction from social networks. We also prepared a Comparison chart of existing techniques for personality prediction on the basis of relevant parameters. Based on this survey, we finally presented a few future research directions related to personality prediction.


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