共查询到20条相似文献,搜索用时 31 毫秒
1.
Jason H 《Advances in physiology education》2007,31(4):312-317
Few medical faculty members are adequately prepared for their instructional responsibilities. Our educational traditions were established before we had research-based understandings of the teaching-learning process and before brain research began informing our understandings of how humans achieve lasting learning. Yet, there are several advantages you may have. If your expertise is at one of the frontiers of human biology, your teaching can be inherently fascinating to aspiring health professionals. If your work has implications for human health, you have another potential basis for engaging future clinicians. And, thanks to Claude Bernard's influence, you likely are "process oriented," a necessary mindset for being an effective teacher. There are also challenges you may face. Your medical students will mostly become clinicians. Unless you can help them see connections between your offerings and their future work, you may not capture and sustain their interest. To be effective, teachers, like clinicians, need to be interactive, make on-the-spot decisions, and be "emotional literate." If you aren't comfortable with these demands, you may have work to do toward becoming a truly helpful teacher. Program changes may be needed. Might your program need to change 1) from being adversarial and controlling to being supportive and trust based or 2) from mainly dispensing information to mainly asking and inviting questions? In conclusion, making changes toward becoming a truly helpful teacher can bring benefits to your students while increasing your sense of satisfaction and fulfillment as a teacher. If you choose to change, be gentle with yourself, as you should be when expecting your students to make important changes. 相似文献
2.
Richard Alun Williams 《EMBO reports》2013,14(4):305-309
A PhD thesis is a project with an established goal and a deadline. As such, the tools, strategies and insight of professional project management can be used effectively to improve both research success and personal well-being.A project is a “temporary endeavour undertaken to create a unique product, service or result” [1]. Although this is a generic definition, it pretty much describes any PhD research project. There are many ways to manage a project effectively and efficiently. Unfortunately, most of us are so busy with our science that we forget about the importance of planning and management to our own success, sanity and health. Instead, we approach our first three years of genuine scientific endeavour wide-eyed and unprepared to juggle the hundreds of tiny balls that make up a PhD. Several techniques from the realm of ‘project management'' might therefore be helpful for PhD students who need to plan and manage the many competing demands that doctoral research can place on them.A PhD comprises both the research itself and the acquisition of skills and knowledge that will facilitate your future career. As such, it is of paramount importance to establish your own objectives early on. For example, alongside dividing your project into work packages—smaller projects that might be discrete or might build on each other—it is also essential to define which so-called transferable skills—additional knowledge and experience that might improve your job prospects—you feel will be of greatest use to you, depending on what you want to do after your PhD. The importance of these skills is becoming more widely recognized and taken far more seriously, and you should find that your supervisor is willing to give you the time to pursue them—your institute or university usually requires that he or she does so. More importantly, you should give yourself the time to invest in these skills, as they are going to be vital to everything you do once your PhD project is over.Doctoral research requires a multitude of skills, most of which you will inevitably lack when you commence your PhD programme. The first step is to identify the gaps in your knowledge to plan what skills on which to focus. This will allow you to acquire them in good time, either through professional activities—shadowing a postdoc, teaching undergraduates, joining journal clubs and blogging—or through both internal and external courses and workshops to improve communication, presentation, writing, networking and other skills. In addition to your planned skills acquisitions, you will also have situations arise, in which you need to acquire new skills quickly. The more you plan training activities and skills acquisition in advance, however, the smoother this aspect will be of your PhD. By way of example, part of my own PhD project relates to statistical analysis of data. An early analysis highlighted several areas in which I had to improve my skills, including hierarchical cluster analysis, principal component analysis and χ2 testing against standard distributions. Having identified these gaps in knowledge early on in my doctoral programme, I could plan ahead accordingly when and how to acquire these skills.The full scope of your PhD project is usually unknown at the outset, and even the direction of your research might well change before you are finished. ‘Rolling wave planning'' is a technique that allows you to take these facts into account and plan the short-term future in detail, with a high-level provision for medium- to long-term activities. For those new to developing project schedules, I advocate a simple five-step approach. First, make an ordered list of high-level activities needed to achieve your goal. Second, expand this list by adding lower-level activities for which you have a detailed understanding of the scope, for example work to be performed in the next six months. You now have a work breakdown structure. Third, turn this work breakdown structure into a dependency-driven list by adding associations between the activities, for example by adding links to precursor activities that need to be completed before another activity can be started. Fourth, estimate the duration of each activity and extrapolate the start and end dates beginning with the first scheduled activity. Finally, as you progress through your research, and the scope of future activities becomes clearer, update the project schedule with these low-level activities as they become known. This approach of generating a hybrid-level project schedule, and updating with detailed activities as the scope becomes clearer, is known as ‘rolling wave planning''.…we approach our first three years of genuine scientific endeavour wide-eyed and unprepared to juggle the hundreds of tiny balls that make up a PhDThere is a range of professional software to help develop project schedules, but there are also various freeware tools available. Alternatively, you can use one of the many word processing or spreadsheet applications to make a simple Gantt chart. Along with the technical scope of your doctoral research, it would also be useful to include milestones that your institution enforces; for example literature review submission, formal progress reports and thesis chapter outlines. Including these in your rolling wave planning will allow you to keep in mind the bigger picture and the formal aspects that must be completed for your PhD, in parallel with the progress you are making towards your specific research subject.It is of course a cliché, but it is true that ‘failing to plan is planning to fail''. Of course the fluid nature of research makes it difficult to estimate accurately the time that it will take to complete various experiments, especially as a novice researcher. I therefore believe that although experiments do overrun and PhD projects can change, developing a project schedule is not a futile activity. By having a plan, even if it is made up of ‘guesstimates'', you can forecast roughly how much time you have left for your research and roughly what you can realistically hope to achieve. After all, without a plan, how can you predict when you will complete your research, submit your thesis and ultimately gain your PhD?Doctoral research requires a multitude of skills, most of which you will inevitably lack when you commence your PhD programmeThe serious consideration of scope is necessary in any project, but even more when you are simultaneously project manager, research scientist and key stakeholder. This raises various crucial questions regarding scope management: what is my doctoral research all about (the goal), and what work do I need to do to meet this goal? Once this has been agreed between you and your supervisor(s), it is essential to manage the scope of your project—the breadth and number of experiments you will perform—and how this will achieve your goal(s). Furthermore, be specific—knowing exactly what you want to achieve will keep you motivated until you get there.Project managers often use the concept of the triple constraint to manage work: scope, time and cost are intricately linked in a project and the different level of focus that each is given affects the perceived quality (by others) of project deliverables (Fig 1). Project managers understand that any deviation in one of the triple constraints changes one or both of the others. This is where the project schedule really comes into its own by allowing you to forecast when you will complete the agreed goals of your PhD project. For example, is your doctoral programme for a fixed-term period? If so, then once a project schedule has been agreed that uses all of the time available, any project overruns will cause an overrun to the overall PhD. The two main possibilities for a PhD student to manage this situation and bring the projected completion back into acceptable timescales are either to work longer or to reduce the scope or goals of the project, either by conducting fewer experiments to answer the same question or by modifying the depth of the question being asked. This leads to the issue of whether there is a minimum set of goals that need to be achieved, or whether several agreed activities are ‘nice to haves'', but are not crucial for the overall PhD. I believe that your supervisor(s) are best suited to answer questions about the minimum goals and the scope needed to achieve them.Open in a separate windowFigure 1The project management triangle as applied to a PhD. Three competing constraints influence project management: time, scope and cost. The time constraint reinforces that projects are temporary endeavours, and that in most cases have defined timescales (absolute deadlines). The cost constraint refers to the budgeted amount allocated to the project that, from the perspective of doctoral research students, will predominantly be focused on the amount and duration of the stipend awarded, but might also incorporate various expenses such as bench fees, conference fees and consumables. For those changing career, the cost might also comprise an element of salary sacrifice. The scope constraint refers to what must be done, produced or developed to meet the objective of the project, which in the case of a PhD generally comprises the actual doctoral research to be performed, development (and submission) of the thesis, publication of one or more journal articles, presentation at conferences and potentially teaching. The triple constraint principle highlights that any change to one of the constraints will have an impact on one or both of the other constraints. For example, increased scope typically leads to increased time and cost; tight time constraints usually mean that an overrun in activities (such as experimentation) might have a knock-on effect of requiring the scope to be reduced to submit your thesis on time, or increasing the overall amount of time required to complete your PhD. Similarly, a tight budget could mean you cannot gain access to various resources, resulting in either increased time or a reduction in scope. Recently, a fourth component of the project management triangle has been introduced highlighting that along with the three constraints competing with each other, they also interact to form a fourth dimension of quality.If you need to complete your doctoral programme within a specified time frame, then you need to manage your goals and scope mercilessly—do not allow additional research questions or extra experiments to take away precious time. This does not mean that you cannot deviate, but any deviations need to be managed. Remember, whether you wish to remain in scientific research or not, the PhD is a stepping-stone to your future career and not the end goal in itself. Once you have achieved the goals agreed with your supervisor, it is more beneficial for you to write-up your doctoral thesis and move on [2].Good communication is essential in every area of work, but even more so for a PhD as you are simultaneously learning how to research along with doing the research. Often, access to your supervisor is limited by constraints on his/her or your time, which means that clear communication is vital. Do not assume that your supervisor knows every intricate detail of what you are doing; he or she might have a large group in which each member is looking at complementary aspects of a more general topic. It is, therefore, your responsibility to ensure that all your stakeholders—supervisors, postdoc leads and any others involved—know what you are doing and, more importantly, why you are doing it.This is another area in which the apt use of technology can maximize efficiency. Subject to institutional licensing, collaboration tools such as SkillsForge or Evernote can improve communication between stakeholders. For example, meeting minutes, action points to be followed and research results can be uploaded for sharing. Supervisors can then review the material at a convenient time to ensure that they stay up to date with the progress of each student within their research group.As PhD students usually aspire to become research scientists, it is of paramount importance that you learn the correct application of the scientific method and the context in which your work is being done. Before jumping into practical work—wet-lab experiments or computational modelling—it is important to understand the meaning and relevance of your project in relation to existing knowledge and the underlying science. For example, the hypothesis-driven research life cycle in systems biology [3,4]—my own field—advises that computational models should be developed on the basis of wet-lab data relating to the underlying biological system. Almeida-Souza and Baets state that a PhD in science is an opportunity to learn how to tackle problems scientifically and, as such, requires the development of skills in critical thinking, hypothesis formulation and experimental design [5]. I believe that the requirement for these skills is universal across the sciences, and that molecular biosciences and computational systems biology are no different.The serious consideration of scope is necessary in any project, but even more when you are simultaneously project manager, research scientist and key stakeholderTherefore, before the first wet-lab experiment is performed, or the first line of code is written, it is essential that we understand why the experiment is important and what results we might expect to support our initial hypotheses. Furthermore, regarding computational systems biology, I believe that it is also essential for wet-lab and computational researchers to collaborate to ensure both have a consistent understanding of the data and the purpose of the computational model. After all, for the most part, computational models are developed for their predictive capacities and to allow hypothesis generation for subsequent wet-lab experimentation. Baxter et al have extensively covered this area and advocate not only designing the project up-front, but also the need for quality control [6].You need to manage the scope and goals of your PhD mercilessly and, at the same time, be flexible enough to grasp new opportunities. Conversations at conferences, for instance, can open up opportunities for collaboration and take your research in a direction that you had not considered previously. In my case, I was invited to turn a conference paper relating to my masters degree into a full paper for a special issue of a well-known bioinformatics journal. Although it was not related to my doctoral research, the prospect was too good to turn down. I therefore discussed the idea with my PhD supervisor, and once we were in agreement, I updated the project schedule to incorporate this new activity, trying to mitigate as much as possible the resulting slippages to my doctoral research. In essence, I had performed an impromptu risk–reward analysis and decided that the reward that would be gained from publishing this work outweighed the risk of a slight overrun of my PhD thesis. It must be noted that I was lucky in this instance, as my PhD supervisor also supervised the research project during my master''s degree, so a full paper would be beneficial for both of us.A project risk is “an uncertain event or condition, that if it occurs, has an effect on at least one project objective” [1]. The positive side to risks is that the likelihood of their future occurrence can be mitigated by planning in the present. Once a risk is realized, however, and its effects begin to be felt, it has turned into a project issue. The first step in trying to manage risks is their identification. Risk identification in this context is the process of determining which events, if they occurred, would affect your research. In the context of a molecular biosciences PhD, I believe that general risks relate to access to resources, such as people—postdocs and collaborators, for example—reagents, cell lines and shared equipment. For example, if your work uses fluorescent proteins within single cell analysis, how would you be affected if the fluorescence microscope was booked out by another research lab? Similarly, in computational systems biology, if the design process for your computational model requires access to wet-lab data, what would the effect(s) be if this was not available?Once risks are identified, it is important to develop risk response plans. By using the above example of access to a microscope, what should your response be if you cannot gain access? The initial risk response would be to liaise with the other research lab to understand their requirements and ascertain whether you could gain access at a mutually convenient time. Alternatively, another approach might be to work outside normal office hours, either throughout the evenings or on the weekend, subject to health and safety procedures at your institution and your own health and well-being. I believe that a degree of creativity is often required when developing effective risk response plans.A PhD thesis is a hefty document that might run to many hundreds of pages. They are generally not written as a single large document from start to finish, but as chapters. In the molecular biosciences, a thesis consists of an initial literature review early in the doctoral programme, work-in-progress documents for materials and methods, experimental results throughout the middle section, which is followed by analysis and critical evaluation towards the end of your experimental work. Whether through software tools or through your own manual methods, such as keeping a configuration log and keeping a copy of each version of your working documents, it is essential that you maintain an up-to-date repository of all your notes. I have found through experience that it is beneficial to save not only the final versions, but also each of the working drafts of documents generated throughout your PhD. Ideas previously discounted, and thus removed from more recent versions of documents, might once again take centre stage at a later date.The positive side to risks is that the likelihood of their future occurrence can be mitigated by planning in the presentThis can be aided through the development and use of a project library with a logical folder structure to facilitate easy access to documentation. Noble [7] provides an in-depth discussion of organizing your computational biology project—in particular the value of version control—but the concepts are transferable across disciplines. Furthermore, do not forget to back-up your work, and without seeming too pessimistic, back-up your back-up!Finally, look after the most important resource: you. Exercise, diet, alcohol, caffeine and holidays all affect your well-being. Holidays and time away from the lab or office allow you to take a step back from the detail and reflect on your experiences and progress. Sometimes, time off allows you to process issues subconsciously and develop new approaches to overcome problems that you have been tackling for extended periods of time without success. Finally, holidays also help you recharge your batteries and enthusiasm to return to your project with fresh vigour. If you have sensibly and reasonably planned time off alongside your work, you will be able to enjoy it.Although a PhD requires consistent commitment, you simply cannot—and should not—work at full capacity all of the time. Issues arise periodically throughout any project, and if you have no reserves of energy—either mental or physical—you will be unable to tackle them head on with the step change of performance that is required. Furthermore, doctoral research is a marathon and not a sprint; we all experience the symptoms of burnout from time to time, and sometimes it is better to walk away for a short period to recharge than to carry on, become stale, and ultimately slow down.To conclude, I wish you good luck with your doctoral research, and I hope these techniques help you to manage your PhD project through to successful completion.?
Open in a separate windowRichard Alun Williams 相似文献
3.
Kelley P 《Biomedical instrumentation & technology / Association for the Advancement of Medical Instrumentation》2003,37(4):249-253
Nobody can do everything discussed in this article. Choose several ideas and try them. Increase your profile by letting more people in the hospital know who you are, what you do, when you do it, and how you do it. Get noticed and develop a reputation as the "go to" department. It will be worth the effort and increase your stature within the hospital. It may also help you get more staff and assume additional duties. Most of all, it will increase the respect of your department, and promote a more smoothly operating asset management system. 相似文献
4.
Markus S Schröder Dermot Harnett Benedikt A Minke Preethy Sasidharan Nair Committee Member Consortium 《EMBO reports》2013,14(10):856-860
Planning a symposium organized by PhD students is a challenging prospect. Insight from the organizers of three such symposia sheds light on the highs and lows of the experience.When we took on the responsibility for our respective annual PhD symposia (Sidebar A), none of us had any idea how much we would have to learn about organization, management and logistics; how many e-mails would be sent; how many deadlines missed. In the end, however, organizing a PhD symposium was in many ways the most instructive part of our first year as PhD students. We had the opportunity to meet and speak with brilliant scientists and we learnt how to coordinate, plan and execute different tasks efficiently with a good team spirit. Both the contacts we made and the skills we acquired should prove useful in our future careers. If you have the opportunity to get involved in organizing a symposium, we hope our experience will help you in making a start.
Sidebar A | The conferences we organized
The 3rd PhD Symposium in Computational Biology and Innovation hosted at the Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland (5–7 December 2012).The 14th European Molecular Biology Laboratory (EMBL) PhD Symposium hosted at EMBL campus in Heidelberg, Germany (24–27 October 2012).The 8th FinBioNet PhD Symposium: Revolutionary bioscience: from advanced technologies to personalized medicine hosted at the University of Tampere, Finland (2–3 October 2012).Perhaps more than any other kind of meeting, a PhD symposium is a great opportunity for early-stage researchers to be exposed to a broad range of science and to meet fellow PhD students and potential collaborators in a friendly atmosphere. By organizing one, you will contribute both to your own career and to those of everyone involved. Many university graduate programmes and societies encourage the organization of such events.If you have the opportunity to get involved in organizing a symposium, we hope our experience will help you in making a startThe amount of work involved, however, is huge and requires the coordination and cooperation of a committee. Your first step, then, is to recruit that committee. An announcement to pique the interest of local PhD students is a good idea to get started, followed by the cooption of members from different areas, groups and institutes to improve diversity and broaden the committee''s knowledge. It also helps to divide the committee into different teams, and to elect a chair, vice-chair and team leaders to keep things on track. Defining clear responsibilities and setting deadlines is vital, but keep in mind that you will need to be flexible, as committee members might find they have more or less time than they planned. In addition to research, both internships and placements are common during the early phases of a PhD and you might unexpectedly lose core committee members along the way. In our case, losing a committee chair meant that the vice-chair had to take over most of the coordination and invest more time during his or her absence.In general, keep in mind that the people you are working with are not full-time employees. It is unlikely that anyone on the organizing committee has done something similar to this before, and so time must be set aside to bring people on board and get them up to speed. Some of your committee members will prove capable of working independently and will require little management; others might be overwhelmed by the demands of their research and will require assistance and micromanagement.In addition to research, internships and placements are common during the early phases of a PhD and you might unexpectedly lose core committee members…You therefore need to monitor people and be prepared for setbacks. As you will collectively bear responsibility for the symposium, work left undone will often fall to other committee members or to you if you are the chair or vice-chair. Just how much slack you have to pick up will depend on your management skills. As long as you have a plan and a clear overview of what needs to be done, management should be straightforward, if not always easy. A well-managed symposium will be a pleasure to organize. A poorly managed one will become a stressful and unpleasant experience.Dividing the labour correctly is the first crucial step. This should happen as early as possible. Sidebar B lists important categories of tasks that must be managed. Large areas—finance, participants and speakers—will probably need sub-committees of their own, while smaller areas such as website management and design might need only one or two people. A large symposium might require a team of 12 people for speakers alone, with one assigned to each speaker. Ideally you will have previous symposia hosted at your institution to use as a blueprint. If not, contact another institute and ask them for an outline. Above all, each task must have a committee member clearly responsible for it, as ambiguous instructions and diffusion of responsibility will result in inaction. Predicting how much work will be involved is difficult, and it is all too easy to under-estimate, leaving you understaffed on the day of the event. Too many staff is far better than too few, and you will find that the ability to be flexible and reassign people to tricky areas or problems is vital to your success.Sidebar B | Important committee tasks
Speakers—contacting speakers, soliciting abstracts and direct assistance to speakersParticipants—selecting plenary speakers and editing abstracts for the abstract bookFinance—fundraising and book-keepingPR—marketing through e-mails and posters, and securing sponsorsPosters—organizing posters on the day and judging any competitionsCatering—providing food and refreshmentsDesign—designing abstract booklets, posters and logosTransport and accommodation—arranging transport and accommodation for speakers (and participants)Website management—ensuring that the website is updated regularly with information about speakers, sessions and travelWithout the right content—speakers, topics and networking opportunities—no symposium will succeed, whether it is organized by PhD students or seasoned professionals. With a committee formed, the most important task is to decide on a scientific theme and a title for the symposium. It is always good to seek suggestions from your peers and mentors, especially because this will raise awareness that the symposium is going to take place. How you ultimately settle on a theme is down to you, but a voting system might be helpful. Remember, however, that the people organizing the symposium need to be confident in its direction and vision. Once a theme is chosen, the next step should be to set the number of sessions and agree on topics for each of these sessions (Sidebar C).Sidebar C | Deciding on a topic and title for your symposium
- The subject of the symposium should be broader than most academic conferences.You want to avoid competing directly with specialized conferences, and instead appeal to a broad range of PhD students.
- Avoid being vague—at the same time, it is vital that a PhD student in any field will read your poster and think ‘this conference is for me''. Moreover, they will need to be able to convince their group leader of it as well.
- Be aware of competitors—the topics of the symposium should not overlap with symposia that are going to be held around the same time.
5.
Ronald S. Oremland Chad W. Saltikov Felisa Wolfe-Simon John F. Stolz 《Geomicrobiology journal》2013,30(7):522-536
If you were asked to speculate about the form extra-terrestrial life on Mars might take, which geomicrobial phenomenon might you select as a model system, assuming that life on Mars would be ‘primitive’? Give your reasons. 相似文献
6.
Rinck F Barkat-Defradas M Chakirian A Joussain P Bourgeat F Thévenet M Rouby C Bensafi M 《Chemical senses》2011,36(1):83-91
One important aspect of odor hedonics is its plasticity during human development. The present study set out to probe the modulators of such olfactory change during that period by testing the hypothesis that language and semantic representations of objects are strong organizers of odor liking. To this end, 15 three-year-old children were tested in a longitudinal study. Participants were exposed to exactly the same 12 odorants once a year over a 3-year period. At each experimental session, they were asked to answer 2 questions: 1) "Do you like or dislike this odor?" and 2) "Can you tell me what it is?" The level of language production was assessed on a standardized test. The 3-year-old children were found to categorize the same number of odorants as liked and as disliked. The follow-up study, in contrast, showed that at 5 years of age they categorized more of these odors as liked and that the shift was significant only in the children with higher language production skills. Taken as a whole, these findings suggest that the 3- to 5-year age range, when children begin to master language, is a turning point in the construction of olfactory hedonic categories during childhood. 相似文献
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9.
《CMAJ》1983,129(7):705-710
The following guidelines are useful if you want to "do it with a simple table" (Table IV): First, identify the sensitivity and specificity of the sign, symptom or diagnostic test you plan to use. Many are already in the literature, and subspecialists should either know them for their field or be able to track them down for you. Depending on whether you are considering a sign, a symptom or a diagnostic laboratory test, you will want to track down a clinical subspecialist, a radiologist, a pathologist and so on. Start your table with a total of 1000 patients, as shown in location (a + b + c + d) of panel A. Using the information you have about the patient before you apply the diagnostic test, estimate the patient''s pretest likelihood (prevalence or prior probability) of the target disorder -- let''s say 10%. Take this proportion of the total (100) and place it in location (a + c); the remaining 900 patients go in location (b + d) (panel B). Multiply (a + c) (100) by the sensitivity of the diagnostic test (let''s say 83%) and place the result (83) in cell a and the difference (17) in cell c; similarly, multiply (b + d) (900) by the specificity of the diagnostic test (let''s say 91%) and place the result (819) in cell d and the difference (81) in cell b (panel C). If (a + b) and (c + d) do not add up to 1000, you will know you have made a mistake. You can now calculate the positive predictive value, a/(a + b), and the negative predictive value, d/(c + d), as shown in panel D. You have now reached a level of understanding a fair bit beyond the rule-in/rule-out strategy discussed in part 1 of our series. Furthermore, you can already do more than most clinicians, so you may want to stop here, at least for a while. On the other hand, you may want to go further and learn how to handle slightly more complex tables with multiple cut-off points. In the next article you will find more powerful ways to take advantage of the degree of positivity and negativity of diagnostic test results. 相似文献
10.
《CMAJ》1983,129(10):1093-1099
We have now shown you how to use decision analysis in making those rare, tough diagnostic decisions that are not soluble through other, easier routes. In summary, to "use more complex maths" the following steps will be useful: Create a decision tree or map of all the pertinent courses of action and their consequences. Assign probabilities to the branches of each chance node. Assign utilities to each of the potential outcomes shown on the decision tree. Combine the probabilities and utilities for each node on the decision tree. Pick the decision that leads to the highest expected utility. Test your decision for its sensitivity to clinically sensible changes in probabilities and utilities. That concludes this series of clinical epidemiology rounds. You''ve come a long way from "doing it with pictures" and are now able to extract most of the diagnostic information that can be provided from signs, symptoms and laboratory investigations. We would appreciate learning whether you have found this series useful and how we can do a better job of presenting these and other elements of "the science of the art of medicine". 相似文献
11.
We are all voice experts. First and foremost, we can produce and understand speech, and this makes us a unique species. But in addition to speech perception, we routinely extract from voices a wealth of socially-relevant information in what constitutes a more primitive, and probably more universal, non-linguistic mode of communication. Consider the following example: you are sitting in a plane, and you can hear a conversation in a foreign language in the row behind you. You do not see the speakers' faces, and you cannot understand the speech content because you do not know the language. Yet, an amazing amount of information is available to you. You can evaluate the physical characteristics of the different protagonists, including their gender, approximate age and size, and associate an identity to the different voices. You can form a good idea of the different speaker's mood and affective state, as well as more subtle cues as the perceived attractiveness or dominance of the protagonists. In brief, you can form a fairly detailed picture of the type of social interaction unfolding, which a brief glance backwards can on the occasion help refine - sometimes surprisingly so. What are the acoustical cues that carry these different types of vocal information? How does our brain process and analyse this information? Here we briefly review an emerging field and the main tools used in voice perception research. 相似文献
12.
M. Pallen 《BMJ (Clinical research ed.)》1995,311(7017):1422-1424
The benefits to medical practitioners of using the Internet are growing rapidly as the Internet becomes easier to use and ever more biomedical resources become available on line. The Internet is the largest computer network in the world; it is also a virtual community, larger than many nation states, with its own rules of behaviour or "netiquette." There are several types of Internet connection and various ways of acquiring a connection. Once connected, you can obtain, free of charge, programs that allow easy use of the Internet''s resources and help on how to use these resources; you can access many of these resources through the hypertext references in the on line version of this series (go to http:@www.bmj.com/bmj/ to reach the electronic version). You can then explore the various methods for accessing, manipulating, or disseminating data on the Internet, such as electronic mail, telnet, file transfer protocol, and the world wide web. Results from a search of the world wide web for information on the rare condition of Recklinghausen''s neurofibromatosis illustrate the breadth of medical information available on the Internet. 相似文献
13.
Gaia Pigino studies the molecular mechanisms and principles of self-organization in cilia using 3D cryo-EM.Gaia Pigino was only 3 yr old when she became fascinated with nature in the beautiful countryside of Siena, Italy, where she grew up. The neighbor’s daughter showed her a hen in the chicken coop, and they caught it in the act of laying an egg. Gaia remembers, “This was for me almost a shock, as my experience about eggs was that they come directly out of paper boxes!” Her father was also an important part of awakening Gaia’s curiosity for the amazing things in nature. He used to bring home the award-winning magazine Airone, the Italian equivalent of National Geographic. Gaia never missed an issue; even before learning to read, she could spend hours looking at the captivating photos of the wildlife. She wanted to understand what she was seeing, and maybe because of that, she was determined to do science.Gaia Pigino. Photo courtesy of Human Technopole.Gaia took her first “scientific” steps with Professor Fabio Bernini and Professor Claudio Leonzio at the University of Siena, where she studied bioindicators of soil contamination and detoxification strategies of soil arthropods as part of her PhD project. But it was later, when she joined the laboratory of Professor Pietro Lupetti and met Professor Joel Rosenbaum, a pioneer of cilia research, that Gaia discovered the world of 3D EM and felt her place was “inside a single cell.” She solidified her interest in the structure of protein complexes of cilia and flagella and boosted her passion for cryo-electron tomography (ET) in the laboratory of Professor Takashi Ishikawa, first at the ETH Zurich and then at the Paul Scherrer Institut in Switzerland. In 2012, Gaia started her own laboratory at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with the vision of creating a truly interdisciplinary laboratory. Her team combines techniques from different fields such as biophysics, cell biology, and structural biology to answer open questions in the cilia field. Gaia recently moved countries again—this time to take over the position of Associate Head of the Structural Biology Research Centre, at the Human Technopole, Milan, Italy.We reached out to Gaia to learn more about her scientific journey and future research directions.What interested you about cilia?The first thing that attracted me toward cilia and flagella were some EM micrographs, by Professor Romano Dallai in Siena, that showed the beautiful geometrical microtubular structures of sperm flagella. I was intrigued by the apparent perfection of these organelles that clearly showed me that a cell is a coordinated system of complex molecular machines, the mechanism of many of which we do not understand. Soon after, Professor Joel Rosenbaum introduced me to the bidirectional transport of components inside cilia, which, he explained to me, is required for both assembly and function of virtually all cilia and flagella, from the motile cilia in our lungs to the primary cilium in our kidneys. He called it intraflagellar transport (IFT) and compared it to a Paternoster elevator, where the individual cabins were what we now call IFT trains. I was completely fascinated by the IFT system, the structure, the function, the dynamics, and the mechanism of which were still largely unknown. Quickly, I realized that in addition to IFT, cilia represent a virtually infinite source of open biological questions waiting to be solved, from the mechanics and regulation of the beating to the sensory function of primary cilia, and their importance for human health.What are some of the scientific questions currently of interest in your laboratory?In the past few years, we have made substantial contributions to the current understanding of the structure and the mechanism of the IFT (1, 2, 3). Currently, we are investigating how the structure of IFT trains relates to their functions by looking, in cryo-electron tomography, at how anterograde trains transform into retrograde trains and at how different ciliary cargoes are loaded on the trains. Beside this more classical line of research, we are exploring other approaches to study IFT, for instance we have developed a method to reactivate IFT trains in vitro on reconstituted microtubules. We want to use this approach to investigate the behavior of IFT trains, and their motors, in experimentally controllable conditions, e.g., in the presence of only certain tubulin posttranslational modifications. We have also made interesting discoveries about the distribution of tubulin posttranslational modifications on the microtubule doublets of the axoneme and how this spatially defined tubulin code affects the function of different ciliary components. We hope we will be able to share these new “stories” with the structural and cell biology community very soon!What kind of approach do you bring to your work?I believe that the main reason for why science became an integral, and dominant, part of my life is because it provides infinite riddles and continuous challenges. I have always been curious about how things work in nature, but I quickly realized that learning from books didn’t satisfy me. My desire was to be at the frontline, to be among the ones that see things happening in front of their eyes, at the microscope, for the first time. I wanted to be among the ones that make the discoveries that students read about in textbooks. Thus, what I bring to my work is an endless desire of solving biological riddles, curiosity, creativity, determination, and energy, with which I hope to inspire the members of my team. My laboratory uses an interdisciplinary approach; we use whatever method, technique or technology is needed to reach our goal, from the most basic tool to the most sophisticated cryo-electron microscope. And if the method we need does not yet exist, we try to invent it.A young Gaia Pigino (3 yr old) the day she discovered how eggs are made. Photo courtesy of Giancarlo Pigino.Could you tell us a bit about the Structural Biology Research Centre at the Human Technopole (HT)?At the HT Structural Biology Centre, we are working to create a vibrant and interdisciplinary scientific environment that will attract molecular, structural, cell, and computational biologists from all over the world. We are creating fantastic facilities, including one of the most well equipped and advanced electron microscopy facilities in Europe—and likely the world—headed by Paolo Swuec. My team, together with the teams of my colleague Alessandro Vannini and the research group leaders Ana Casañal, Francesca Coscia, and Philipp Erdmann, already cover a vast range of competences and know-how from classical molecular and structural biology approaches, such as crystallography and protein biophysics, to cryo-CLEM, cryo-FIB SEM and cryo-ET, all of which allow us to address questions in cell biology. Our goal is to create a scientific infrastructure and culture that will enable biologists to obtain a continuum of structural and functional information across scales.What did you learn during your PhD and postdoc that helped prepare you for being a group leader? What were you unprepared for?I learned that everyday research is mostly made of failures, but that with the right amount of obsession, persistence, curiosity, and creativity, it is always possible to succeed and discover new things. Being given the freedom to develop your own ideas and your own project very early in your career is a treat; science is not only about having good ideas! One needs to follow up on these ideas with intense work and troubleshooting to make them reality. In addition, I realized that being fearless and attempting what is considered too difficult by others, despite challenges, can turn into a worthy learning experience. Also, how you present your work to the scientific community matters for swinging the odds of success in your favor. Different places might work in very different ways, and conducting good science does not only depend on you, but also on the possibilities given to you by your environment.What was I unprepared for?—I guess several things, but one comes immediately to mind: I underestimated how much being responsible not only for my own life and career, but also the career of students, postdocs, and others in the laboratory, would affect me personally.Structure of the 96-nm axonemal repeat reconstructed by cryo-ET and subtomogram averaging. Image courtesy of Gonzalo Alvarez Viar, Pigino Lab.What has been the biggest accomplishment in your career so far?This is a tricky question for me... I tend to look into the future more than celebrating the past. I fight to succeed in something, but as soon as I conquer it, I find it less of an achievement than the thing I could conquer next. Nevertheless, I am happy about the discoveries and the papers published together with my students and postdocs (1, 2, 3, 4, 5). I am extremely excited about the fact that after many years of work I am now leading an interdisciplinary laboratory, where we combine techniques from different fields. I am also happy that three times my husband and I were able to move from one world class academic institution to the another to start exciting and fitting jobs and could still live together in the same place. We worked hard for this, but we also got lucky.What has been the biggest challenge in your career so far?I studied French in school; I had almost no exposure to spoken English until the end of my PhD. To avoid having to show my English insufficiencies, I did hide beside the board of my poster at the first international conference I attended in 2004! It took me a while to overcome this barrier and feel confident to express my thoughts and ideas in English.What do you think you would be if you were not a scientist?I had been a good fencer during my youth. I was a member of the Italian National Team between ages 14 and 19 and saw quite a bit of the world, which was cool! When my sporting career failed, due to diabetes, I was torn between art and science. I guess that in a parallel universe, I am a wildlife photographer and a potter specialized in wood kiln firing. [Gaia confesses that she misses “the amazing and addictive adrenaline rush of a good fencing match!”]Any tips for a successful research career?Do not compare your performances to the ones of the people at your career stage; compare yourself with people that are already successful one level higher than you currently are at. For example, if you are a PhD student, ask yourself what in your current performance separates you from being a good postdoc—once a postdoc, what is missing to be a good PI. 相似文献
14.
K Pavelin JA Cham P de Matos C Brooksbank G Cameron C Steinbeck 《PLoS computational biology》2012,8(7):e1002554
Designers have a saying that "the joy of an early release lasts but a short time. The bitterness of an unusable system lasts for years." It is indeed disappointing to discover that your data resources are not being used to their full potential. Not only have you invested your time, effort, and research grant on the project, but you may face costly redesigns if you want to improve the system later. This scenario would be less likely if the product was designed to provide users with exactly what they need, so that it is fit for purpose before its launch. We work at EMBL-European Bioinformatics Institute (EMBL-EBI), and we consult extensively with life science researchers to find out what they need from biological data resources. We have found that although users believe that the bioinformatics community is providing accurate and valuable data, they often find the interfaces to these resources tricky to use and navigate. We believe that if you can find out what your users want even before you create the first mock-up of a system, the final product will provide a better user experience. This would encourage more people to use the resource and they would have greater access to the data, which could ultimately lead to more scientific discoveries. In this paper, we explore the need for a user-centred design (UCD) strategy when designing bioinformatics resources and illustrate this with examples from our work at EMBL-EBI. Our aim is to introduce the reader to how selected UCD techniques may be successfully applied to software design for bioinformatics. 相似文献
15.
Growing demand has led some Canadian hospitals to offer alternative therapies to patients, even though many physicians still question their efficacy. Anita Elash visited Toronto''s Sunnybrook Health Science Centre, where staff physicians have been debating the issue. One physician said hospitals have no choice but to offer the treatments. "If you believe in the primacy of patients making their own decisions and you believe in the fundamental of informed consent, you cannot deny them access to this treatment." 相似文献
16.
Patton S 《The Journal of parasitology》2003,89(4):647-651
During the past several weeks, I, like many of my predecessors, have read many speeches previously delivered at the annual meeting of the American Society of Parasitologists (ASP). These are wonderful, exciting papers, and I recommend them to you. The history of our Society and much of parasitological research and philosophy are contained in these speeches. An understanding of parasitology and specifically of the ASP in the 21st century necessitates an understanding of our roots. Just as proteomics, genomics, DNA, and Mendel are a continuum, so is our progression as a science and as a Society. This thought is not original with me. Several presidents have discussed this point in detail: Eloise Cram in 1956, "Stepping Stones in the History of the American Society of Parasitologists" (Cram, 1956); Martin Ulmer in 1978, "What's Past is Prologue" (Ulmer, 1978); Harry Hoogstraal in 1984, "ASP: Its Historic Role and Modern Opportunities" (Hoogstraal, 1985); and Mike Kemp in 1988, "Parasitology a Degenerate Discipline, Populated by Degenerate Scientists, Studying Degenerate Organisms?" (Kemp, 1989). 相似文献
17.
Background
Determining the habitat range for various microbes is not a simple, straightforward matter, as habitats interlace, microbes move between habitats, and microbial communities change over time. In this study, we explore an approach using the history of lateral gene transfer recorded in microbial genomes to begin to answer two key questions: where have you been and who have you been with?Results
All currently sequenced microbial genomes were surveyed to identify pairs of taxa that share a transposase that is likely to have been acquired through lateral gene transfer. A microbial interaction network including almost 800 organisms was then derived from these connections. Although the majority of the connections are between closely related organisms with the same or overlapping habitat assignments, numerous examples were found of cross-habitat and cross-phylum connections.Conclusions
We present a large-scale study of the distributions of transposases across phylogeny and habitat, and find a significant correlation between habitat and transposase connections. We observed cases where phylogenetic boundaries are traversed, especially when organisms share habitats; this suggests that the potential exists for genetic material to move laterally between diverse groups via bridging connections. The results presented here also suggest that the complex dynamics of microbial ecology may be traceable in the microbial genomes. 相似文献18.
Three novel X-ray crystal structures for the DNA hexamer d(GGCGCC) in the B-form complexed to divalent cobalt, nickel and zinc ions have been determined to a resolution of 2.9–3.0 Å. The structures were isomorphous and had five DNA strands and five metal cations per asymmetric unit. In all three cases, divalent metal cations were coordinated only to the terminal guanine residue at the N(7) position, with no metal ions binding to non-terminal guanine positions. Water molecules bound to the metal cations interacted with neighboring guanine residues 3 to the ones to which the cations were coordinated, affecting the propeller twist. Even though DNA occupied only about 35% of the unit cell volume, it is interesting that the few interactions involving the metal cations were sufficient to stabilize the crystal lattice. As well as lending support to the proposal that these metals do not coordinate to B-DNA in a stable manner, the results presented here also extend the crystallographic evidence for this phenomenon to the GGC and CGC sequences for all three metal cations.Electronic Supplementary Material Supplementary material is available for this article if you access the article at . A link in the frame on the left on that page takes you directly to the supplementary material.Abbreviations MPD 2-methyl-2,4-pentanediol - TAPS N-[tris(hydroxymethyl)methyl]-3-aminopropanesulfonate 相似文献
19.
20.
Darwin’s Methodological Evolution 总被引:1,自引:0,他引:1
A necessary condition for having a revolution named after you is that you are an innovator in your field. I argue that if Charles Darwin meets this condition, it is as a philosopher and methodologist. In 1991, I made the case for Darwins innovative use of thought experiment in the Origin. Here I place this innovative practice in the context of Darwins methodological commitments, trace its origins back into Darwins notebooks, and pursue Darwins suggestion that it owes its inspiration to Charles Lyell. 相似文献