Skin tribology: Science friction?

The application of tribological knowledge is not just restricted to optimizing mechanical and chemical engineering problems. In fact, effective solutions to friction and wear related questions can be found in our everyday life. An important part is related to skin tribology, as the human skin is frequently one of the interacting surfaces in relative motion. People seem to solve these problems related to skin friction based upon a trial-and-error strategy and based upon on our sense for touch. The question of course rises whether or not a trained tribologist would make different choices based upon a science based strategy? In other words: Is skin friction part of the larger knowledge base that has been generated during the last decades by tribology research groups and which could be referred to as Science Friction? This paper discusses the specific nature of tribological systems that include the human skin and argues that the living nature of skin limits the use of conventional methods. Skin tribology requires in vivo, subject and anatomical location specific test methods. Current predictive friction models can only partially be applied to predict in vivo skin friction. The reason for this is found in limited understanding of the contact mechanics at the asperity level of product-skin interactions. A recently developed model gives the building blocks for enhanced understanding of friction at the micro scale. Only largely simplified power law based equations are currently available as general engineering tools. Finally, the need for friction control is illustrated by elaborating on the role of skin friction on discomfort and comfort. Surface texturing and polymer brush coatings are promising directions as they provide way and means to tailor friction in sliding contacts without the need of major changes to the produc

Science Friction: Phenomenology, Naturalism and Cognitive Science

Recent years have seen growing evidence of a fruitful engagement between phenomenology and cognitive science. This paper confronts an in-principle problem that stands in the way of this (perhaps unlikely) intellectual coalition, namely the fact that a tension exists between the transcendentalism that characterizes phenomenology and the naturalism that accompanies cognitive science. After articulating the general shape of this tension, I respond as follows. First, I argue that, if we view things through a kind of neo-McDowellian lens, we can open up a conceptual space in which phenomenology and cognitive science may exert productive constraints on each other. Second, I describe some examples of phenomenological cognitive science that illustrate such constraints in action. Third, I use the mutually constraining relationship at work here as the platform from which to bring to light a domesticated version of the transcendental and a minimal form of naturalism that are compatible with each other

Science Friction: Antarctic Research Whaling and the International Court of Justice

Whaling remains one of the most controversial and divisive aspects of the modern regulation of marine resources. In 1982, the International Whaling Commission, the global management body responsible for the regulation of whale stocks, instituted a moratorium on commercial hunting, which has been in force for almost 20 years. Nevertheless, a number of legal avenues exist within the current international regulatory framework to facilitate a degree of continued hunting. The most contentious of these is the scientific research exemption advanced under Article VIII of the International Convention for the Regulation of Whaling 1946, which provides for the national authorization of permits for lethal research. Japan has undertaken a significant programme of scientific whaling in Antarctica since 1987, despite widespread international criticism and an escalating campaign of nautical obstruction by militant activists, duly generating a long-standing legal dispute with Australia. On 31 March 2014, judgment was rendered by the International Court of Justice, in favour of Australia, ordering Japan to cease and desist its Antarctic whaling programme and refuting Japanese assertions that these activities had been legitimately conducted ‘for the purposes of scientific research’ as permitted under the 1946 Convention

Eliminating Science Friction: A Metadata Quality Framework for the Earth Sciences

No abstract availabl

Experiences with Problem-Based Learning: Virginia Initiative for Science Teaching and Achievement

The Virginia Initiative for Science Teaching and Achievement (VISTA) provides high-quality professional development for teachers and administrators to enhance the quality of their science instructional programs. One emphasis of this program is helping teachers learn to implement Problem-Based Learning in the elementary science classroom. Problem-Based Learning (PBL) has the potential to produce significant positive outcomes for students, such as increased student engagement, and opportunities for in-depth critical thinking [1]. Teachers find PBL challenging because it does take additional time for planning and material acquisition, but experience has shown that the benefits outweigh these challenges. Setting clear goals, identifying specific learning objectives, and developing big questions that tie these together help increase the success of the unit. Additionally, administrators can help teachers succeed in implementing a Problem-Based Learning unit by understanding the dynamic nature of the PBL environment, providing flexibility with unit pacing, and setting aside time for refining, reflection, and revision of the unit

Uncertainties in the Algorithmic Image

The incorporation of algorithmic procedures into the automation of image production has been gradual, but has reached critical mass over the past century, especially with the advent of photography, the introduction of digital computers and the use of artificial intelligence (AI) and machine learning (ML). Due to the increasingly significant influence algorithmic processes have on visual media, there has been an expansion of the possibilities as to how images may behave, and a consequent struggle to define them. This algorithmic turnhighlights inner tensions within existing notions of the image, namely raising questions regarding the autonomy of machines, author- and viewer- ship, and the veracity of representations. In this sense, algorithmic images hover uncertainly between human and machine as producers and interpreters of visual information, between representational and non-representational, and between visible surface and the processes behind it. This paper gives an introduction to fundamental internal discrepancies which arise within algorithmically produced images, examined through a selection of relevant artistic examples. Focusing on the theme of uncertainty, this investigation considers how algorithmic images contain aspects which conflict with the certitude of computation, and how this contributes to a difficulty in defining images

Enforcing public data archiving policies in academic publishing: A study of ecology journals

To improve the quality and efficiency of research, groups within the scientific community seek to exploit the value of data sharing. Funders, institutions, and specialist organizations are developing and implementing strategies to encourage or mandate data sharing within and across disciplines, with varying degrees of success. Academic journals in ecology and evolution have adopted several types of public data archiving policies requiring authors to make data underlying scholarly manuscripts freely available. Yet anecdotes from the community and studies evaluating data availability suggest that these policies have not obtained the desired effects, both in terms of quantity and quality of available datasets. We conducted a qualitative, interview-based study with journal editorial staff and other stakeholders in the academic publishing process to examine how journals enforce data archiving policies. We specifically sought to establish who editors and other stakeholders perceive as responsible for ensuring data completeness and quality in the peer review process. Our analysis revealed little consensus with regard to how data archiving policies should be enforced and who should hold authors accountable for dataset submissions. Themes in interviewee responses included hopefulness that reviewers would take the initiative to review datasets and trust in authors to ensure the completeness and quality of their datasets. We highlight problematic aspects of these thematic responses and offer potential starting points for improvement of the public data archiving process.Comment: 35 pages, 1 figure, 1 tabl

Raubeaux Scientician

The works contained in Raubeaux Scientician are about a triadic relationship between people, science, and art. The obsessions, of individuals and the apparent change brought about by their physical presence guide my artistic research. I am awestruck at the capabilities of the individual to overcome conventional thought and through creative action yield a new vision. Some of the people I am fascinated by put forth theories and inventions that continue to affect myriad aspects of our world today. Among those at the forefront are, Robert Oppenheimer, and Edward Teller. Their contributions to science and mathematics remain almost unmatched. These and many others on the Manhattan Project team were employing cutting edge physics in their atomic research. The decisions to go through with the testing and the resulting construction of atomic weapons quite simply changed the face of humanity forever. With the knowledge of how to obliterate mankind, however, came a closer understanding of nature and the universe. But was it all worth it? And what about the not so famous men and women on this project, those such as Stanislaw Ulam who felt the calculations for atomic testing were all wrong and traveled the scientific community to try and stop the making of the bomb. What if he had been successful in ending the use of these postulates