The Whys and Hows of the Scientific Method
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Utilitarianism & the Afterlife
Utilitarianism & the Afterlife The paradox of a pleasant hereafter Betsy McCall The goal of Utilitarianism is to lay out a moral philosophy to provide us a way of living, and a way of making difficult moral choices correctly(Mill, 2001) in circumstances which are uncommon enough that experience has not, or cannot, prepare us for the solution. But in doing so, Utilitarianism must confront the same moral challenges confronted by all moral philosophies, including the consequences of belief in the afterlife(Hasker, 2005). The afterlife has provided a complex moral challenge for many moral philosophical frameworks throughout the ages, from Buddhism to Christianity. Buddhism posits that life is suffering, and that the ultimate goal of living is really to escape living altogether by achieving nirvana, or at least, a better life in the next reincarnation(Becker, 1993). Christianity similarly puts this life into a comparison with another better alternative, in this case, the possibility of an infinitely better afterlife in heaven with god and the angels(Pohle, 1920). In both cases, the philosophical frameworks have been forced to incorporate specific prohibitions against suicide in order to avoid the apparently logical conclusion that death is preferable to life, and we would do well to get ourselves there as quickly as possible. Mill, in arguing for Utilitarianism, does not specifically address this question, perhaps because Mill himself gave the afterlife little personal credence(Wilson, 2009). However, writing to a largely Christian Western audience, like Christianity, and a deep-seated historical affinity for belief in reincarnation(Haraldsson, 2005), Mill and his followers must be prepared to address this potential concern. -
Science Serving the Nation, Impact of Basic Research
Science Serving the Nation The Impact of Basic Research Basic Energy Sciences Science Serving the Nation The Impact of Basic Research Basic Energy Sciences BASIC ENERGY SCIENCES ENERGY ENVIRONMENT SECURITY MATERIALS SCIENCES ENGINEERING CHEMICAL GEOSCIENCES BIOSCIENCES RESEARCH UNDERSTAND PREDICT CONTROL MATTER ENERGY This document highlights the breadth of the scientific programs and the impact of this research in commerce and in advancing scientific frontiers. To look in more detail at our research portfolio and see how we manage our programs, consult our BES 2011 Summary Report, available at http://science.energy.gov/~/media/bes/pdf/reports/files/bes2011sr_rpt.pdf. Additional information about the impact of BES research can be found on our website at http://science.energy.gov/bes/. New highlights showcasing the benefits of BES programs are frequently posted to the web as they arise. Our user facility brochure (http://science.energy.gov/~/media/bes/suf/pdf/BES_Facilities.pdf) contains additional information on all of the BES national scientific user facilities. Energy technologies, environmental tech- nologies, and national security all depend on the progress of basic science research. By understanding, predicting, and ulti- mately controlling matter and energy at the level of electrons, atoms, and molecules, scientists have the capacity to transform the technologies we use in everyday life. From Fundamental Science to Energy Technology Basic Energy Sciences (BES) supports the science that is the foundation for new technologies essential to the U.S. Department of Energy (DOE) missions in energy, environment, and national security. We are one of the Nation’s leading sponsors of fundamental research across broad areas of materials sciences and engineering, chemical sciences, geosciences, and biosciences. -
Measuring Science: Is There “Basic Research” Without Statistics? Benoît Godin 3465, Rue Durocher Montréal (QUE) Canada
Measuring Science: Is There “Basic Research” Without Statistics? Benoît Godin 3465, rue Durocher Montréal (QUE) Canada H2X 2C6 Project on the History and Sociology of S&T Statistics Paper No. 3 2000 Previous papers in the series: 1. B. Godin, Outlines for a History of Science Measurement. 2. B. Godin, The Measure of Science and the Construction of a Statistical Territory: The Case of the National Capital Region (NCR). 1 Measuring Science : Is There “Basic Research” Without Statistics? Measuring Science: Is There “Basic Research” Without Statistics? Fundamental research is a central category of science policy and science measurement. Of all the concepts defined in the first edition of the Frascati manual, the OECD (Organization for Economic and Co-operation Development) methodological guide for official surveys on R&D, the first dealt with fundamental research. While a definition of research itself did not appear until the second edition in 1970, fundamental research was defined explicitly as follows: Work undertaken primarily for the advancement of scientific knowledge, without a specific practical application in view. 1 In the last edition of the manual (1994), the definition is substantially the same as the one in 1963, although the term “basic” is now used instead of fundamental: Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view. 2 Between 1963 and 1994, therefore, all five editions of the manual carry essentially the same definition without any significant changes: basic research is research concerned with knowledge as contrasted with applied research, which is concerned with the application of knowledge. -
Concepts and Definitions for Identifying R&D
Frascati Manual 2015 Guidelines for Collecting and Reporting Data on Research and Experimental Development © OECD 2015 Chapter 2 Concepts and definitions for identifying R&D This chapter provides the definition of research and experimental development (R&D) and of its components, basic research, applied research and experimental development. These definitions are essentially unchanged from those in previous editions of the manual. Where there are differences, they reflect changes in culture and the use of language. To provide guidance on what is and what is not an R&D activity, five criteria are provided which require the activity to be novel, creative, uncertain in it outcome, systematic and transferable and/or reproducible. Since the last edition, the treatment of R&D expenditure in the System of National Accounts (SNA) has changed from an expense to a capital investment. As a result, the language of this manual, and of the SNA, is closer and there are additional requirements for measurements of financial flows. While the manual has always applied to all scientific disciplines, there is more emphasis on the social sciences, humanities and the arts, in addition to the natural sciences and engineering. Measuring R&D activities through surveys, administrative data, or interviews raises questions about boundaries and what is and what is not included and this chapter provides examples to help answer those questions. The manual is used to interpret R&D data as part of policy development and evaluation, but the focus of this chapter is on definitions for measurement purposes. 43 I-2. CONCEPTS AND DEFINITIONS FOR IDENTIFYING R&D 2.1. -
UNIT 3 QUASI EXPERIMENTAL DESIGN Factorial Design
UNIT 3 QUASI EXPERIMENTAL DESIGN Factorial Design Structure 3.0 Introduction 3.1 Objectives 3.2 Meaning of Quasi Experimental Design 3.3 Difference Between Quasi Experimental Design and True Experimental Design 3.4 Types of Quasi Experimental Design 3.4.1 Non-Equivalent Group Posttest only Design 3.4.2 Non-Equivalent Control Group Design 3.4.3 The Separate Pretest-post Test Sample Design 3.4.4 The Double Pretest Design 3.4.5 The Switching Replications Design 3.4.6 Mixed Factorial Design 3.4.7 Interrupted Time Series Design 3.4.8 Multiple Time Series Design 3.4.9 Repeated Treatment Design 3.4.10 Counter Balanced Design 3.5 Advantages and Disadvantages of Quasi Experimental Design 3.6 Let Us Sum Up 3.7 Unit End Questions 3.8 Glossary 3.9 Suggested Readings 3.0 INTRODUCTION For most of the history of scientific psychology, it has been accepted that experimental research, with its twin assets of random assignment and manipulation of the independent variable by the researcher, is the ideal method for psychological research. Some researchers believe this so strongly that they avoid studying important questions about human personality, sex differences in behaviour, and other subjects that do not lend themselves to experimental research. A few decades ago researchers in psychology were interested in applied psychology issues conducting research on how students learnt in school, how social factors influenced the behaviour of an individual, how to motivate factory workers to perform at a higher level etc. These research questions cannot be answered by lab experiments as one has to go to the field and the real life situation like the classroom etc., to find answers to the research issues mentioned above. -
Using the Scientific Method
Using the Scientific Method 2002 and 2014 GED Content Area: Science Focus: Scientific Method (2002) and Scientific Hypothesis and Investigation(2014) Activity Type: Graphic Organizer and GED Practice Objectives Students will be able to: Appreciate the purpose of the Scientific Method Understand key terms related to the Scientific Method: observation, hypothesis, test, experiment, result, conclusion Relate the Scientific Method to an experiment Answer GED questions based on the Scientific Method Directions 1. Print the handout “Using the Scientific Method” (next page). Pass out the handout to the class. 2. Explain that the scientific method is the way scientists learn about the world around us. This involves several steps, often in the form of experiments. Discuss the 5 steps in the chart on the handout and define the highlighted words. 3. Have a student or students read the first passage out loud. Ask the class to fill in the chart. They can fill in the chart individually or in pairs (discussing these concepts can help students develop their thinking skills). 4. Discuss the students’ answers. Samples: 1. Observation: Where there was Penicillium mold, there were also dead bacteria. 2. Hypothesis: The mold must produce a chemical that kills the bacteria. 3. Test: Grow more of the mold separately and then return it to the bacteria. 4. Result: When the material is returned to the mold, the bacteria died. 5. Conclusion: Penicillium kills bacteria. 5. Have students read the passage at the bottom of the page and answer the GED practice question. Choice (4) is correct because the doctor saw that when the chickens ate whole‐grain rice with thiamine, they did not have the disease. -
Foundations of Nursing Science 9781284041347 CH01.Indd Page 2 10/23/13 10:44 AM Ff-446 /207/JB00090/Work/Indd
9781284041347_CH01.indd Page 1 10/23/13 10:44 AM ff-446 /207/JB00090/work/indd © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION PART 1 Foundations of Nursing Science 9781284041347_CH01.indd Page 2 10/23/13 10:44 AM ff-446 /207/JB00090/work/indd © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION 9781284041347_CH01.indd Page 3 10/23/13 10:44 AM ff-446 /207/JB00090/work/indd © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION CHAPTER Philosophy of Science: An Introduction 1 E. Carol Polifroni Introduction A philosophy of science is a perspective—a lens, a way one views the world, and, in the case of advanced practice nurses, the viewpoint the nurse acts from in every encounter with a patient, family, or group. A person’s philosophy of science cre- ates the frame on a picture—a message that becomes a paradigm and a point of reference. Each individual’s philosophy of science will permit some things to be seen and cause others to be blocked. It allows people to be open to some thoughts and potentially keeps them closed to others. A philosophy will deem some ideas correct, others inconsistent, and some simply wrong. While philosophy of sci- ence is not meant to be viewed as a black or white proposition, it does provide perspectives that include some ideas and thoughts and, therefore, it must neces- sarily exclude others. The important key is to ensure that the ideas and thoughts within a given philosophy remain consistent with one another, rather than being in opposition. -
Sacred Rhetorical Invention in the String Theory Movement
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Communication Studies Theses, Dissertations, and Student Research Communication Studies, Department of Spring 4-12-2011 Secular Salvation: Sacred Rhetorical Invention in the String Theory Movement Brent Yergensen University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/commstuddiss Part of the Speech and Rhetorical Studies Commons Yergensen, Brent, "Secular Salvation: Sacred Rhetorical Invention in the String Theory Movement" (2011). Communication Studies Theses, Dissertations, and Student Research. 6. https://digitalcommons.unl.edu/commstuddiss/6 This Article is brought to you for free and open access by the Communication Studies, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Communication Studies Theses, Dissertations, and Student Research by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. SECULAR SALVATION: SACRED RHETORICAL INVENTION IN THE STRING THEORY MOVEMENT by Brent Yergensen A DISSERTATION Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Doctor of Philosophy Major: Communication Studies Under the Supervision of Dr. Ronald Lee Lincoln, Nebraska April, 2011 ii SECULAR SALVATION: SACRED RHETORICAL INVENTION IN THE STRING THEORY MOVEMENT Brent Yergensen, Ph.D. University of Nebraska, 2011 Advisor: Ronald Lee String theory is argued by its proponents to be the Theory of Everything. It achieves this status in physics because it provides unification for contradictory laws of physics, namely quantum mechanics and general relativity. While based on advanced theoretical mathematics, its public discourse is growing in prevalence and its rhetorical power is leading to a scientific revolution, even among the public. -
Science for Energy Technology: Strengthening the Link Between Basic Research and Industry
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The Synchronicity of Hope and Enhanced Quality of Life in Terminal Cancer
University of Central Florida STARS Honors Undergraduate Theses UCF Theses and Dissertations 2016 The Synchronicity of Hope and Enhanced Quality of Life in Terminal Cancer Brianna M. Terry University of Central Florida Part of the Nursing Commons Find similar works at: https://stars.library.ucf.edu/honorstheses University of Central Florida Libraries http://library.ucf.edu This Open Access is brought to you for free and open access by the UCF Theses and Dissertations at STARS. It has been accepted for inclusion in Honors Undergraduate Theses by an authorized administrator of STARS. For more information, please contact [email protected]. Recommended Citation Terry, Brianna M., "The Synchronicity of Hope and Enhanced Quality of Life in Terminal Cancer" (2016). Honors Undergraduate Theses. 75. https://stars.library.ucf.edu/honorstheses/75 THE SYNCHRONICITY OF HOPE AND ENHANCED QUALITY OF LIFE IN TERMINAL CANCER by BRIANNA TERRY A thesis submitted in partial fulfillment of the requirements for the Honors in the Major Program in Nursing in the College of Nursing and in the Burnett Honors College at the University of Central Florida Orlando, Florida Summer Term, 2016 Thesis Chair: Dr. Susan Chase Abstract Cancer is the second leading cause of death in the United States and a leading cause of death worldwide. The rate of mortality is currently approximately 171.2 out of every 100,000 individuals with a terminal cancer diagnosis annually. Individuals with terminal cancer diagnoses facing probable mortality utilize various coping mechanisms or internal resources in an attempt to maintain an internal sense of well-being, commonly referred to as quality of life (QOL). -
Research Methods in Social Psychology 2 Antony S.R
9781405124003_4_002.qxd 10/31/07 2:54 PM Page 20 Research Methods in Social Psychology 2 Antony S.R. Manstead KEY CONCEPTS confederate confounding construct construct validity control group convergent validity cover story debriefing demand characteristics dependent variable discourse analysis experiment experimental group experimental scenario experimenter expectancy effects external validity factorial experiment field experiment Hawthorne effect hypothesis implicit measures independent variable interaction effect interaction process analysis (IPA) internal validity Internet experiments main effect manipulation check mediating variable meta-analysis 9781405124003_4_002.qxd 10/31/07 2:54 PM Page 21 one-shot case study operationalization participant observation post-experimental enquiry CHAPTER OUTLINE post-test only control group design quasi-experiment This chapter provides an overview of research methods in social psychology, from the develop- quota sample random allocation ment of theory to the collection of data. After describing three quantitative research strategies reactivity (survey research, experiments and quasi-experiments), the chapter briefly discusses qualitative reliability approaches, focusing on discourse analysis. There follows a description of the key elements of sampling experiments and of threats to validity in experimental research, and a discussion of problems simple random sample with experimental research in social psychology. The final section of the chapter contains a social desirability description of three methods of data collection (observation, self-report and implicit measures). survey research theory triangulation true randomized experiment unobtrusive measures validity variable Introduction How do social psychologists develop their theories? How do social psychologists go about testing their theories? Methods provide a means of translating a researcher’s ideas into actions. These ideas usually revolve around one or more questions about a phenomenon. -
1 Bringing Real Realism Back Home: a Perspectival Slant Michela Massimi
Bringing real realism back home: a perspectival slant Michela Massimi School of Philosophy, Psychology, and Language Sciences University of Edinburgh [email protected] 1. Introduction When it comes to debates on realism in science, Philip Kitcher’s Real Realism: The Galilean Strategy (henceforth abbreviated as RR) occupies its well-deserved place among my top five must-read articles published in the past forty years or so on the topic (alongside Putnam’s What is realism?; Boyd’s Realism, anti-foundationalism and the enthusiasm for Natural Kinds; Laudan’s A refutation of convergent realism; and Psillos’ The present state of the scientific realism debate). Personal as this top-five list may be, there is no doubt that Real Realism has ushered in a silent revolution. Without much fanfare, it has shown how realism is hard to resist because it “begins at home” and “it never ventures into the metaphysical never-never- lands to which antirealists are so keen to banish their opponents” (RR, p. 191). Kitcher has taught us how realism began with homely considerations such as those used by Galileo to persuade the Venetians about the reliability of his telescope to spot ships approaching the harbor. The following step from ‘being a reliable naval instrument’ to ‘being a reliable instrument, in general’—capable of revealing the craters of the Moon, the satellites of Jupiter, and the phases of Venus—was a short one. The Galilean strategy that Kitcher has so admirably defended in Real Realism against both empiricism and constructivism (in their respective semantic and epistemic forms) entice us to a “homely line of thought”, and warns us against any “Grand Metaphysical Conclusions”.