University of Florida

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

On September 14, 2015 at 09:50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory simultaneously observed a transient gravitational-wave signal. The signal sweeps upwards in frequency from 35 to 250 Hz with a peak gravitational-wave strain of 1.0×10(-21). It matches the waveform predicted by general relativity for the inspiral and merger of a pair of black holes and the ringdown of the resulting single black hole. The signal was observed with a matched-filter signal-to-noise ratio of 24 and a false alarm rate estimated to be less than 1 event per 203,000 years, equivalent to a significance greater than 5.1σ. The source lies at a luminosity distance of 410(-180)(+160) Mpc corresponding to a redshift z=0.09(-0.04)(+0.03). In the source frame, the initial black hole masses are 36(-4)(+5)M⊙ and 29(-4)(+4)M⊙, and the final black hole mass is 62(-4)(+4)M⊙, with 3.0(-0.5)(+0.5)M⊙c(2) radiated in gravitational waves. All uncertainties define 90% credible intervals. These observations demonstrate the existence of binary stellar-mass black hole systems. This is the first direct detection of gravitational waves and the first observation of a binary black hole merger.

On August 17, 2017 at 12∶41:04 UTC the Advanced LIGO and Advanced Virgo gravitational-wave detectors made their first observation of a binary neutron star inspiral. The signal, GW170817, was detected with a combined signal-to-noise ratio of 32.4 and a false-alarm-rate estimate of less than one per <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mrow><a:mn>8.0</a:mn><a:mo>×</a:mo><a:msup><a:mrow><a:mn>10</a:mn></a:mrow><a:mrow><a:mn>4</a:mn></a:mrow></a:msup></a:mrow><a:mtext> </a:mtext><a:mtext> </a:mtext><a:mi>years</a:mi></a:mrow></a:math>. We infer the component masses of the binary to be between 0.86 and <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mrow><c:mn>2.26</c:mn><c:mtext> </c:mtext><c:mtext> </c:mtext><c:msub><c:mrow><c:mi>M</c:mi></c:mrow><c:mrow><c:mo stretchy="false">⊙</c:mo></c:mrow></c:msub></c:mrow></c:math>, in agreement with masses of known neutron stars. Restricting the component spins to the range inferred in binary neutron stars, we find the component masses to be in the range <f:math xmlns:f="http://www.w3.org/1998/Math/MathML" display="inline"><f:mrow><f:mn>1.17</f:mn><f:mi>–</f:mi><f:mn>1.60</f:mn><f:mtext> </f:mtext><f:mtext> </f:mtext><f:msub><f:mrow><f:mi>M</f:mi></f:mrow><f:mrow><f:mo stretchy="false">⊙</f:mo></f:mrow></f:msub></f:mrow></f:math>, with the total mass of the system <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:mrow><i:mn>2.7</i:mn><i:msubsup><i:mrow><i:mn>4</i:mn></i:mrow><i:mrow><i:mo>−</i:mo><i:mn>0.01</i:mn></i:mrow><i:mrow><i:mo>+</i:mo><i:mn>0.04</i:mn></i:mrow></i:msubsup><i:msub><i:mrow><i:mi>M</i:mi></i:mrow><i:mrow><i:mo stretchy="false">⊙</i:mo></i:mrow></i:msub></i:mrow></i:math>. The source was localized within a sky region of <l:math xmlns:l="http://www.w3.org/1998/Math/MathML" display="inline"><l:mrow><l:mn>28</l:mn><l:mtext> </l:mtext><l:mtext> </l:mtext><l:mrow><l:msup><l:mrow><l:mi>deg</l:mi></l:mrow><l:mrow><l:mn>2</l:mn></l:mrow></l:msup></l:mrow></l:mrow></l:math> (90% probability) and had a luminosity distance of <n:math xmlns:n="http://www.w3.org/1998/Math/MathML" display="inline"><n:mrow><n:mrow><n:mn>4</n:mn><n:msubsup><n:mrow><n:mn>0</n:mn></n:mrow><n:mrow><n:mo>−</n:mo><n:mn>14</n:mn></n:mrow><n:mrow><n:mo>+</n:mo><n:mn>8</n:mn></n:mrow></n:msubsup><n:mtext> </n:mtext><n:mtext> </n:mtext></n:mrow><n:mrow><n:mi>Mpc</n:mi></n:mrow></n:mrow></n:math>, the closest and most precisely localized gravitational-wave signal yet. The association with the <p:math xmlns:p="http://www.w3.org/1998/Math/MathML" display="inline"><p:mi>γ</p:mi></p:math>-ray burst GRB 170817A, detected by Fermi-GBM 1.7 s after the coalescence, corroborates the hypothesis of a neutron star merger and provides the first direct evidence of a link between these mergers and short <r:math xmlns:r="http://www.w3.org/1998/Math/MathML" display="inline"><r:mi>γ</r:mi></r:math>-ray bursts. Subsequent identification of transient counterparts across the electromagnetic spectrum in the same location further supports the interpretation of this event as a neutron star merger. This unprecedented joint gravitational and electromagnetic observation provides insight into astrophysics, dense matter, gravitation, and cosmology. Published by the American Physical Society 2017

Attention to the beliefs of teachers and teacher candidates should be a focus of educational research and can inform educational practice in ways that prevailing research agendas have not and cannot. The difficulty in studying teachers’ beliefs has been caused by definitional problems, poor conceptualizations, and differing understandings of beliefs and belief structures. This article examines the meaning prominent researchers give to beliefs and how this meaning differs from that of knowledge, provides a definition of belief consistent with the best work in this area, explores the nature of belief structures as outlined by key researchers, and offers a synthesis of findings about the nature of beliefs. The article argues that teachers’ beliefs can and should become an important focus of educational inquiry but that this will require clear conceptualizations, careful examination of key assumptions, consistent understandings and adherence to precise meanings, and proper assessment and investigation of specific belief constructs. Implications of findings and directions for future research are offered.

Potential conflict of interest: Dr. Chalasani consults for and received grants from Eli Lilly. He consults for NuSirt, AbbVie, Afimmune, Tobira, Madrigal, Shire, Cempra, Ardelyx, Axovant, and Amarin. He received grants from Intercept, Gilead, Galectin, and Cumberland. Dr. Younossi consults for Bristol‐Myers Squibb, Gilead, Intercept, Allergan, and GlaxoSmithKline. He advises for Vertex and Janssen. Dr. Brunt advises for Gilead. Dr. Charlton consults for and received grants from Gilead, Intercept, NGM Bio, Genfit, and Novartis. He received grants from Conatus. Dr. Cusi consults for and received grants from Novo Nordisk. He consults for Tobira. He received grants from Cirius, Novartis, Janssen, Zydus, Nordic, and Lilly. Dr. Rinella consults for Intercept, Gilead, Genfit, Novartis, NGM Bio, and Nusirt. She advises for Fibrogen, Immuron, Enanta, and AbbVie. Dr. Harrison consults for Madrigal, NGM Bio, Genfit, Echosens, Prometheus, Cirius, Perspectum, and HistoIndex. He advises for Garland, Intercept, Novartis, and Pfizer. He is on the speakers' bureau for AbbVie, Gilead, and Alexion. Dr. Sanyal consults for and received grants from Salix, Conatus, Galectin, Gilead, malinckrodt, Echosens‐Sandhill, Novartis, and Sequana. He consults for and is employed by Sanyal Bio. He consults for and owns stock in GenFit, Hemoshear, Durect, and Indalo. He consults for Immuron, Intercept, Pfizer, Boehringer Ingleheim, Nimbus, Nitto Denko, Lilly, Novo Nordisk, Fractyl, Allergan, Chemomab, Affimmune, Teva, and Ardelyx. He received grants from Bristol‐Myers Squibb and Merck. He received royalties from UptoDate. He owns stock in Exhalenz, Arkana, and NewCo LLC. The funding for the development of this Practice Guidance was provided by the American Association for the Study of Liver Diseases. This practice guidance was approved by the American Association for the Study of Liver Diseases on June 15, 2017. Preamble This guidance provides a data‐supported approach to the diagnostic, therapeutic, and preventive aspects of nonalcoholic fatty liver disease (NAFLD) care. A “Guidance” document is different from a “Guideline.” Guidelines are developed by a multidisciplinary panel of experts and rate the quality (level) of the evidence and the strength of each recommendation using the Grading of Recommendations, Assessment Development, and Evaluation system. A guidance document is developed by a panel of experts in the topic, and guidance statements, not recommendations, are put forward to help clinicians understand and implement the most recent evidence. This Practice Guidance was commissioned by the American Association for the Study of Liver Diseases (AASLD) and is an update to the Practice Guideline published in 2012 in conjunction with the American Gastroenterology Association and the American College of Gastroenterology (ACG).1 Sections where there have been no notable newer publications are not modified, so some paragraphs remain unchanged. This narrative review and guidance statements are based on the following: (1) a formal review and analysis of the recently published world literature on the topic (Medline search up to August 2016); (2) the American College of Physicians' Manual for Assessing Health Practices and Designing Practice Guidelines2; (3) guideline policies of the AASLD; and (4) the experience of the authors and independent reviewers with regard to NAFLD. This practice guidance is intended for use by physicians and other health professionals. As clinically appropriate, guidance statements should be tailored for individual patients. Specific guidance statements are evidence based whenever possible, and, when such evidence is not available or is inconsistent, guidance statements are made based on the consensus opinion of the authors.3 This is a practice guidance for clinicians rather than a review article, and interested readers can refer to several recent comprehensive reviews.4 Because this guidance document is lengthy, to make it easier for the reader, a list of all guidance statements and recommendations are provided in a tabular form there be (1) evidence of by or and (2) of of such use of a or the of is with such and can be nonalcoholic fatty liver or nonalcoholic is the of evidence of in the form of is the of and with with or this guidance document be to or or of fatty liver of of and the of in from fatty liver to to of evidence of in the form of of the or evidence of The of to and liver is of with and with or This can to liver and liver of with or evidence of or of with no with are with such and of and is a to in liver in with in is A of and and of in the is a of the of in the A have of from are a for of by was a of for of by was the of using and was to be a of for an of of developed by to an rate of The for in the of are A from using of an rate for of the of such this most the of A from an rate of A recent the of from to be the rate from the is to be to the there is a of publications the of in the are in a recent of the of The the of by is The of is from the and the rate is from As the for a liver liver is not in of the there is no of the or of there have been some to the of by The the of in the are in the The of liver for a is to be The of liver a for is from to the of in the and of in of are not in with of the of This and of been this provides a list of the and and and independent of are with and is the most and for NAFLD. the of from to and is with NAFLD. this the of with have is a of in with some have to of have is to the of and this and can in a the of in with or the of in with NAFLD. this and and are in with NAFLD. The of in with been to be a a the based on to and to The rate of was the rate for with the to and to was the rate in the with the was and The of to and the of and of liver disease to with Association of the of or of the (1) than in or than in (2) or (3) than in and than in (4) or or or and or been a for NAFLD. the of in is than in The of and on have the to have a of have a of the of and to be to be is most of the recent the for be by the to the the of the from to and of the have the of with is evidence with with some of are for such and have the following: with have to The most of in with is disease independent of other is the of in the it is the or of with is the of in with with have an a recent and and to be and and and The for and for to be and The most of with is to or are of is the of in the to the of with the the of the of been to a with are have a have and are to from liver than other of from a of from the not have other was with in the of This of in is to most with have is This of with have a of and with the with or in the of in of the for liver disease is of the recent in with a rate of the of in to with a rate of and in with to with a recent of with and a of an of rate not different from with This is with of with with or liver is the of and the of in the are with As of liver disease is the development of The rate was to be of with of the to to liver to and to it is the for in is the of with the and of the of evidence for or recent of of the of in with is A consensus for be in and in a liver to the on and a is of the of in published literature been Guidance or recent on in and on in is a for when with NAFLD. Evaluation of and for other than liver or A recent of with be for based on the the and and for this have not been Guidance with on have or to liver disease or have liver should be have and up with on or and have liver should be for or and for such or for in and can be there should be for with or not with have of the available evidence of and of there are in the and of NAFLD. A analysis using a for in with is not of with available liver can be in with not be to liver or are is experts recently have for for liver disease in with not Guidance for in or is not this of and with of to and of should be a of for and in with such or or can be to or for or of of a of with have a a of with and for and the of liver was and fatty liver was in of of with in the of and the of have been from no in a to in a of an of in using to and and not and, the of and was and Guidance of for is not Evaluation of the The of (1) there is by or (2) there is no (3) there are no for and (4) there are no of of are disease and a with it is to for liver and liver can in with not the of liver of this are and is a of not it can disease the are of was with in a of and are in a with should be in the with in with and the is Liver should be in the of and a to the or of and to in a with NAFLD. of and are in with and are to be an of no liver to a of from the in or in and not with disease or other are should be for the of or and Guidance a with it is to for and with and in the of or a liver should be of in with other of liver disease or to should a for liver of with should the of such or and Assessment of and in The of is is can to liver and liver Liver is the most approach for the of and in with it is is by and and and such and not the of liver in with NAFLD. there been in and for in with is the of this practice of the of and and the and of in with by or by is an for and is in The use of to is a for in an the of in with in is The of is a for the of in with is with of the of an of such and to the of liver with and such and are the for of have been for the of in with This is not available in a The for the of in to Liver and or and The is based on available and and is using the published a of of the an the of for with or A and to a and to the of is an based on and with are with are to have A recent and liver and (1) than other such and and (2) for in with The panel of of of and an of with and for or This panel been recently approved for use in is not available for use in the liver was recently approved by the and for use in and with liver recent the of in with using an on the of in with from the The liver for was with and The for was in of the the on the of using an with in with The rate for in this was The for for and was The recently experience with in with in the using a with an or rate for a liver was is for of in with the by than for or in or for and and have several with and in with for in is not Guidance with the of and can be to for a liver or are clinically for with of or or are clinically for in with NAFLD. to a Liver in Liver the for liver in with NAFLD. is for and some and it should be in the most from and Guidance Liver should be in with are of The of or or liver by or be for are for Liver should be in with in for and the of be a liver of The of are of with the of not by The for of liver in a with or the and on of the is the to from on of and The for have been by the by not with or and or not all for with of or in or and and of have no or of up to is or is and is with and is of in from in in be or in and and be in is readers refer to other recent publications for of of fatty liver disease in and are for of in from the and from the Liver of the and for The was developed a of in from a the the for for use in and from with the of and in with other of liver there is a for and for with based and to the of in and and The by a of was with in and when a a Guidance should a with and with and and A on or be Specific such be The or of should be a to and is of The of should of liver disease the such and with or have from a liver liver disease should be to with and Guidance liver disease should be to with and of and been to with NAFLD. The to is the to in the of a of with to of in was with have been by a recent with liver in this a was the the of the the in such was with in all of and it is to or in of the of to a in this with a the is with of liver and in The of the to to be than the of in are by a of and by or by in in and The in fatty been in to a for and, there was no in in in the with are recommendations to can be The of are in and this been with an of and the of on in are a recent an in with no in The and of than or by than have in independent of This is by a of of a a or for was with the in of development or in independent of the The of on are from a of of or was not with in or recommendations have in of the recommendations was to have a on and are for with to the of and on are on in a analysis of in a than on a review of and in liver liver with of the to of a recommendations to in a of to in and Guidance by or in conjunction with A of a by and is to the of of of to a is to the of the of in with or to other aspects of liver the of on liver in with several have an in and not liver published not liver in with and Guidance is not for in patients. are for the with on and on and The of to and in and have to in with an in not of or is no available in most and in the of of an in no was an review of all evidence by the an an of in with and or and and The with in to of and there was a in to a recent Cusi with or with a from and or for by an with The was a of in the different of with the and of and of no different was with and a of is of in with an with or for in with not to and the for the of with a in with to or for The was an in by with in and in the or and no in the This was in in the to in the and in the Because this of and a of was to be a there with this not the of a was in a of than and and there no in other is the most with from and from to in of to been a with or for up to and no and use of or of in with Guidance liver in with and with it be to patients. and should be with each and should not be to been an in the of in with and a recently published of with for was with of and of As was with Guidance is to to liver disease in with or is a of and disease in with is an and been a for is of for the different of and of the use of other or other and to most and not or of for it can be (1) the use of is with a in in with (2) in in in and and of in a of with and (3) not have an on the the form of was a of for The was in a of to to the of Liver in or in with of was in with than in with recent with in with are the of of with this been several with and A and other such not A analysis of with the of the by in in the in A and from to not a and a published in a of was and with a in the of of of and this be by or with Guidance a of liver in with and be for this and should be with each is not to in liver or all is in for is in all of most is to and to or disease in most and and from and the most of in there are no of in to be in the there are several and and with liver and with liver of and and in with and in and to there was a in the and of and and with or there was a in and and of or and with no in liver and a in was the to this of and there is no clinically in can be to the a on with with the of and of in to in of a of available in the of to or the of and by a by in the of The and of in with is not analysis from the and for with and to was in with and in with A recent review of in with A and is with with Guidance can be in with or is to an to The and of in with to are not with or be on a by an have and to and in with and liver in with have been with of a no in with fatty approved in the to have been to in and in a review of the published literature in evidence to the use of fatty in with to liver the of was by and recently to for fatty in with or than a other have been in and is the of this Guidance is not for the of or fatty should not be a of or be to in with NAFLD. in and is a for and should be by with and or than on or than in or than on or in several have a of than on the or by and of a recent analysis of from the of by are are no the of on disease or of or The of on the and have not been in with NAFLD. Guidance with should not of are to make recommendations with regard to of by with NAFLD. is a and of and for the and a and to and of is there are and of the and and of are not and with have a by and to a of with to be by and the of rather than by the of have evidence of the of with of in with or and A recent analysis of the The and Evaluation and in with to analysis of the The and a of in with in to it is to in with based on to use in with or and several have the of in with liver disease of in liver the of is not in with are not in liver from is in of for are and have with liver or not all and on when this was not a of in liver or liver Guidance with are for and of should be in all with NAFLD. with or are not for liver from can be to in with and be in with should be in with and are are in a a and a in a this was with and This was recently approved by the for with are to in a up to in a recently an for a this was with there was a in Guidance and available in with should not be to and and are and, in is on a to the most for in the with is with an of and to an analysis of the for a of and and with the of when for not to an of or The of on and in the of the of a in of or for not been for and been in a of with been in and and in for The of an to of all to the is is with been an independent of and Because of the of and with and a of is with some of and have all been to be in this As is with a of with is in with with to when is or is with an of disease and in the most for liver in the Because of the of with rate of or of with the is than of are from are for with and and are to other The of is an of and in evidence of is or by for is in of by the of the a rate is than for other than with for than and is in of by the A recent experience of to this from and recommendations for are to for other with and and a and are in the of is by and is in with a of are some to the of patients. and and Guidance with have of should be to clinically or the Guidance to Practice with should be for to the and practice with of should be for to the practice evidence not and for in with evidence not a liver in with or this be on a of Specific to and in be to or to with of in be most for or The of and in are the in with are and with of of in for the in based the of or the for and the and of the A of in and using a of to using the of liver to from The was when for and A recent the of to be in from and in based on This the of in to with with a of with with and with the of was to be with of to in with and or in with so use of the of liver a of with and from of of on the of was in of with liver other than in was the most and was in of the with NAFLD. with the a of and a of of been in of with The of and to was in to a with than to to an and NAFLD. A the of in for of of the and of The the on with received with of the liver developed the was to and the or in of and in not to be and with are on of to the of in is in of of or of by health than of with for with not be and for of by As in with of such and are for and of with of of for in health in for and there are no to with in this the of an for liver disease with and in with and with in the with other the to the of in of fatty or and in are in a of with and, on some liver is to and the of use or is in and for are the no panel of or can and in Guidance with fatty liver are or not should be for of such fatty and in to for of are in with in with or to should a liver to and Because of a of a formal recommendation be made with regard to for in with and A The to a liver in a to the of be the with and the the with an of than or of to of there is an in or of all with to a liver it be to are to have or to with for liver on in of and of have been to for The of the to of with based on of As in development of or to for or disease is of and are can be to in with a of and with is in in with an of of the or of with of a liver a with and the Guidance Liver in with should be in in the is or in there is of or A liver to a of should be on for of with can from in some in of and there is a in This is by or and in the of The and to be different in with Guidance liver should the in with to NAFLD. for are by a of and on to The is to a quality of and and liver and of should be made to from Because most have this is the in with in in and by in most with NAFLD. of the to this using and Because liver not the of the the of on liver not be with to or and not liver in in and the of with and in an or in to on of or the of to aspects of in is are to the of for should with a to quality of and of of American Association and in As in for or have in or liver on and A using in a the of or to in to with the of of was not different the there in and of with to this a no on liver or liver The from the of to this the in of or of was not the a in on to been some to fatty to in a of and to in for in in Guidance and liver in with and should be the of no to with and should not be to or The of a is not to some with of in is be to in and should be with each in

The ff94 force field that is commonly associated with the Amber simulation package is one of the most widely used parameter sets for biomolecular simulation. After a decade of extensive use and testing, limitations in this force field, such as over-stabilization of alpha-helices, were reported by us and other researchers. This led to a number of attempts to improve these parameters, resulting in a variety of "Amber" force fields and significant difficulty in determining which should be used for a particular application. We show that several of these continue to suffer from inadequate balance between different secondary structure elements. In addition, the approach used in most of these studies neglected to account for the existence in Amber of two sets of backbone phi/psi dihedral terms. This led to parameter sets that provide unreasonable conformational preferences for glycine. We report here an effort to improve the phi/psi dihedral terms in the ff99 energy function. Dihedral term parameters are based on fitting the energies of multiple conformations of glycine and alanine tetrapeptides from high level ab initio quantum mechanical calculations. The new parameters for backbone dihedrals replace those in the existing ff99 force field. This parameter set, which we denote ff99SB, achieves a better balance of secondary structure elements as judged by improved distribution of backbone dihedrals for glycine and alanine with respect to PDB survey data. It also accomplishes improved agreement with published experimental data for conformational preferences of short alanine peptides and better accord with experimental NMR relaxation data of test protein systems.

For the purposes of classification, it should be specified whether osteoarthritis (OA) of the knee is of unknown origin (idiopathic, primary) or is related to a known medical condition or event (secondary). Clinical criteria for the classification of idiopathic OA of the knee were developed through a multicenter study group. Comparison diagnoses included rheumatoid arthritis and other painful conditions of the knee, exclusive of referred or para-articular pain. Variables from the medical history, physical examination, laboratory tests, and radiographs were used to develop sets of criteria that serve different investigative purposes. In contrast to prior criteria, these proposed criteria utilize classification trees, or algorithms.

BACKGROUND: Thyroid nodules are a common clinical problem, and differentiated thyroid cancer is becoming increasingly prevalent. Since the publication of the American Thyroid Association's guidelines for the management of these disorders was published in 2006, a large amount of new information has become available, prompting a revision of the guidelines. METHODS: Relevant articles through December 2008 were reviewed by the task force and categorized by topic and level of evidence according to a modified schema used by the United States Preventative Services Task Force. RESULTS: The revised guidelines for the management of thyroid nodules include recommendations regarding initial evaluation, clinical and ultrasound criteria for fine-needle aspiration biopsy, interpretation of fine-needle aspiration biopsy results, and management of benign thyroid nodules. Recommendations regarding the initial management of thyroid cancer include those relating to optimal surgical management, radioiodine remnant ablation, and suppression therapy using levothyroxine. Recommendations related to long-term management of differentiated thyroid cancer include those related to surveillance for recurrent disease using ultrasound and serum thyroglobulin as well as those related to management of recurrent and metastatic disease. CONCLUSIONS: We created evidence-based recommendations in response to our appointment as an independent task force by the American Thyroid Association to assist in the clinical management of patients with thyroid nodules and differentiated thyroid cancer. They represent, in our opinion, contemporary optimal care for patients with these disorders.

Ecological extinction caused by overfishing precedes all other pervasive human disturbance to coastal ecosystems, including pollution, degradation of water quality, and anthropogenic climate change. Historical abundances of large consumer species were fantastically large in comparison with recent observations. Paleoecological, archaeological, and historical data show that time lags of decades to centuries occurred between the onset of overfishing and consequent changes in ecological communities, because unfished species of similar trophic level assumed the ecological roles of overfished species until they too were overfished or died of epidemic diseases related to overcrowding. Retrospective data not only help to clarify underlying causes and rates of ecological change, but they also demonstrate achievable goals for restoration and management of coastal ecosystems that could not even be contemplated based on the limited perspective of recent observations alone.

The coupled-cluster singles and doubles model (CCSD) is derived algebraically, presenting the full set of equations for a general reference function explicitly in spin–orbital form. The computational implementation of the CCSD model, which involves cubic and quartic terms, is discussed and results are reported and compared with full CI calculations for H2O and BeH2. We demonstrate that the CCSD exponential ansatz sums higher-order correlation effects efficiently even for BeH2, near its transition state geometry where quasidegeneracy efforts are quite large, recovering 98% of the full CI correlation energy. For H2O, CCSD plus the fourth-order triple excitation correction agrees with the full CI energy to 0.5 kcal/mol. Comparisons with low-order models provide estimates of the effect of the higher-order terms T1T2, T21T2, T31, and T41 on the correlation energy.

In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose simple likelihood-ratio based statistics for testing the null hypothesis that the competing models are equally close to the true data generating process against the alternative hypothesis that one model is closer. The tests are directional and are derived successively for the cases where the competing models are non-nested, overlapping, or nested and whether both, one, or neither is misspecified. As a prerequisite, we fully characterize the asymptotic distribution of the likelihood ratio statistic under the most general conditions. We show that it is a weighted sum of chi-square distribution or a normal distribution depending on whether the distributions in the competing models closest to the truth are observationally identical. We also propose a test of this latter condition.

AUTORES: Daniel J Klionsky1745,1749*, Kotb Abdelmohsen840, Akihisa Abe1237, Md Joynal Abedin1762, Hagai Abeliovich425,&#13;\nAbraham Acevedo Arozena789, Hiroaki Adachi1800, Christopher M Adams1669, Peter D Adams57, Khosrow Adeli1981,&#13;\nPeter J Adhihetty1625, Sharon G Adler700, Galila Agam67, Rajesh Agarwal1587, Manish K Aghi1537, Maria Agnello1826,&#13;\nPatrizia Agostinis664, Patricia V Aguilar1960, Julio Aguirre-Ghiso784,786, Edoardo M Airoldi89,422, Slimane Ait-Si-Ali1376,&#13;\nTakahiko Akematsu2010, Emmanuel T Akporiaye1097, Mohamed Al-Rubeai1394, Guillermo M Albaiceta1294,&#13;\nChris Albanese363, Diego Albani561, Matthew L Albert517, Jesus Aldudo128, Hana Alg€ul1164, Mehrdad Alirezaei1198,&#13;\nIraide Alloza642,888, Alexandru Almasan206, Maylin Almonte-Beceril524, Emad S Alnemri1212, Covadonga Alonso544,&#13;\nNihal Altan-Bonnet848, Dario C Altieri1205, Silvia Alvarez1497, Lydia Alvarez-Erviti1395, Sandro Alves107,&#13;\nGiuseppina Amadoro860, Atsuo Amano930, Consuelo Amantini1554, Santiago Ambrosio1458, Ivano Amelio756,&#13;\nAmal O Amer918, Mohamed Amessou2089, Angelika Amon726, Zhenyi An1538, Frank A Anania291, Stig U Andersen6,&#13;\nUsha P Andley2079, Catherine K Andreadi1690, Nathalie Andrieu-Abadie502, Alberto Anel2027, David K Ann58,&#13;\nShailendra Anoopkumar-Dukie388, Manuela Antonioli832,858, Hiroshi Aoki1791, Nadezda Apostolova2007,&#13;\nSaveria Aquila1500, Katia Aquilano1876, Koichi Araki292, Eli Arama2098, Agustin Aranda456, Jun Araya591,&#13;\nAlexandre Arcaro1472, Esperanza Arias26, Hirokazu Arimoto1225, Aileen R Ariosa1749, Jane L Armstrong1930,&#13;\nThierry Arnould1773, Ivica Arsov2120, Katsuhiko Asanuma675, Valerie Askanas1924, Eric Asselin1867, Ryuichiro Atarashi794,&#13;\nSally S Atherton369, Julie D Atkin713, Laura D Attardi1131, Patrick Auberger1787, Georg Auburger379, Laure Aurelian1727,&#13;\nRiccardo Autelli1992, Laura Avagliano1029,1755, Maria Laura Avantaggiati364, Limor Avrahami1166, Suresh Awale1986,&#13;\nNeelam Azad404, Tiziana Bachetti568, Jonathan M Backer28, Dong-Hun Bae1933, Jae-sung Bae677, Ok-Nam Bae409,&#13;\nSoo Han Bae2117, Eric H Baehrecke1729, Seung-Hoon Baek17, Stephen Baghdiguian1368,&#13;\nAgnieszka Bagniewska-Zadworna2, Hua Bai90, Jie Bai667, Xue-Yuan Bai1133, Yannick Bailly884,&#13;\nKithiganahalli Narayanaswamy Balaji473, Walter Balduini2002, Andrea Ballabio316, Rena Balzan1711, Rajkumar Banerjee239,&#13;\nG abor B anhegyi1052, Haijun Bao2109, Benoit Barbeau1363, Maria D Barrachina2007, Esther Barreiro467, Bonnie Bartel997,&#13;\nAlberto Bartolom e222, Diane C Bassham550, Maria Teresa Bassi1046, Robert C Bast Jr1273, Alakananda Basu1798,&#13;\nMaria Teresa Batista1578, Henri Batoko1336, Maurizio Battino970, Kyle Bauckman2085, Bradley L Baumgarner1909,&#13;\nK Ulrich Bayer1594, Rupert Beale1553, Jean-Fran¸cois Beaulieu1360, George R. Beck Jr48,294, Christoph Becker336,&#13;\nJ David Beckham1595, Pierre-Andr e B edard749, Patrick J Bednarski301, Thomas J Begley1135, Christian Behl1419,&#13;\nChristian Behrends757, Georg MN Behrens406, Kevin E Behrns1627, Eloy Bejarano26, Amine Belaid490,&#13;\nFrancesca Belleudi1041, Giovanni B enard497, Guy Berchem706, Daniele Bergamaschi983, Matteo Bergami1401,&#13;\nBen Berkhout1441, Laura Berliocchi714, Am elie Bernard1749, Monique Bernard1354, Francesca Bernassola1880,&#13;\nAnne Bertolotti791, Amanda S Bess272, S ebastien Besteiro1351, Saverio Bettuzzi1828, Savita Bhalla913,&#13;\nShalmoli Bhattacharyya973, Sujit K Bhutia838, Caroline Biagosch1159, Michele Wolfe Bianchi520,1378,1381,&#13;\nMartine Biard-Piechaczyk210, Viktor Billes298, Claudia Bincoletto1314, Baris Bingol350, Sara W Bird1128, Marc Bitoun1112,&#13;\nIvana Bjedov1258, Craig Blackstone843, Lionel Blanc1183, Guillermo A Blanco1496, Heidi Kiil Blomhoff1812,&#13;\nEmilio Boada-Romero1297, Stefan B€ockler1464, Marianne Boes1423, Kathleen Boesze-Battaglia1835, Lawrence H Boise286,287,&#13;\nAlessandra Bolino2063, Andrea Boman693, Paolo Bonaldo1823, Matteo Bordi897, J€urgen Bosch608, Luis M Botana1308,&#13;\nJoelle Botti1375, German Bou1405, Marina Bouch e1038, Marion Bouchecareilh1331, Marie-Jos ee Boucher1901,&#13;\nMichael E Boulton481, Sebastien G Bouret1926, Patricia Boya133, Micha€el Boyer-Guittaut1345, Peter V Bozhkov1141,&#13;\nNathan Brady374, Vania MM Braga469, Claudio Brancolini1997, Gerhard H Braus353, Jos e M Bravo-San Pedro299,393,508,1374,&#13;\nLisa A Brennan322, Emery H Bresnick2022, Patrick Brest490, Dave Bridges1939, Marie-Agn es Bringer124, Marisa Brini1822,&#13;\nGlauber C Brito1311, Bertha Brodin631, Paul S Brookes1872, Eric J Brown352, Karen Brown1690, Hal E Broxmeyer480,&#13;\nAlain Bruhat486,1339, Patricia Chakur Brum1893, John H Brumell446, Nicola Brunetti-Pierri315,1171,&#13;\nRobert J Bryson-Richardson781, Shilpa Buch1777, Alastair M Buchan1819, Hikmet Budak1022, Dmitry V Bulavin118,505,1789,&#13;\nScott J Bultman1792, Geert Bultynck665, Vladimir Bumbasirevic1470, Yan Burelle1356, Robert E Burke216,217,&#13;\nMargit Burmeister1750, Peter B€utikofer1473, Laura Caberlotto1987, Ken Cadwell896, Monika Cahova112, Dongsheng Cai24,&#13;\nJingjing Cai2099, Qian Cai1018, Sara Calatayud2007, Nadine Camougrand1343, Michelangelo Campanella1700,&#13;\nGrant R Campbell1525, Matthew Campbell1249, Silvia Campello556,1876, Robin Candau1769, Isabella Caniggia1983,&#13;\nLavinia Cantoni560, Lizhi Cao116, Allan B Caplan1656, Michele Caraglia1051, Claudio Cardinali1043, Sandra Morais Cardoso1579, Jennifer S Carew208, Laura A Carleton874, Cathleen R Carlin101, Silvia Carloni2002,&#13;\nSven R Carlsson1267, Didac Carmona-Gutierrez1643, Leticia AM Carneiro312, Oliana Carnevali971, Serena Carra1318,&#13;\nAlice Carrier120, Bernadette Carroll900, Caty Casas1324, Josefina Casas1116, Giuliana Cassinelli324, Perrine Castets1462,&#13;\nSusana Castro-Obregon214, Gabriella Cavallini1841, Isabella Ceccherini568, Francesco Cecconi253,555,1884,&#13;\nArthur I Cederbaum459, Valent ın Ce~na199,1281, Simone Cenci1323,2064, Claudia Cerella444, Davide Cervia1996,&#13;\nSilvia Cetrullo1478, Hassan Chaachouay2028, Han-Jung Chae187, Andrei S Chagin634, Chee-Yin Chai626,628,&#13;\nGopal Chakrabarti1502, Georgios Chamilos1601, Edmond YW Chan1142, Matthew TV Chan181, Dhyan Chandra1003,&#13;\nPallavi Chandra548, Chih-Peng Chang818, Raymond Chuen-Chung Chang1653, Ta Yuan Chang345, John C Chatham1434,&#13;\nSaurabh Chatterjee1910, Santosh Chauhan527, Yongsheng Che62, Michael E Cheetham1263, Rajkumar Cheluvappa1783,&#13;\nChun-Jung Chen1153, Gang Chen598,1676, Guang-Chao Chen9, Guoqiang Chen1078, Hongzhuan Chen1077, Jeff W Chen1514,&#13;\nJian-Kang Chen370,371, Min Chen249, Mingzhou Chen2104, Peiwen Chen1823, Qi Chen1674, Quan Chen172,&#13;\nShang-Der Chen138, Si Chen325, Steve S-L Chen10, Wei Chen2125, Wei-Jung Chen829, Wen Qiang Chen979, Wenli Chen1113,&#13;\nXiangmei Chen1133, Yau-Hung Chen1157, Ye-Guang Chen1250, Yin Chen1447, Yingyu Chen953,955, Yongshun Chen2135,&#13;\nYu-Jen Chen712, Yue-Qin Chen1145, Yujie Chen1208, Zhen Chen339, Zhong Chen2123, Alan Cheng1702,&#13;\nChristopher HK Cheng184, Hua Cheng1728, Heesun Cheong814, Sara Cherry1836, Jason Chesney1703,&#13;\nChun Hei Antonio Cheung817, Eric Chevet1359, Hsiang Cheng Chi140, Sung-Gil Chi656, Fulvio Chiacchiera308,&#13;\nHui-Ling Chiang958, Roberto Chiarelli1826, Mario Chiariello235,567,577, Marcello Chieppa835, Lih-Shen Chin290,&#13;\nMario Chiong1285, Gigi NC Chiu878, Dong-Hyung Cho676, Ssang-Goo Cho650, William C Cho982, Yong-Yeon Cho105,&#13;\nYoung-Seok Cho1064, Augustine MK Choi2095, Eui-Ju Choi656, Eun-Kyoung Choi387,400,685, Jayoung Choi1563,&#13;\nMary E Choi2093, Seung-Il Choi2116, Tsui-Fen Chou412, Salem Chouaib395, Divaker Choubey1574, Vinay Choubey1936,&#13;\nKuan-Chih Chow822, Kamal Chowdhury730, Charleen T Chu1856, Tsung-Hsien Chuang827, Taehoon Chun657,&#13;\nHyewon Chung652, Taijoon Chung978, Yuen-Li Chung1194, Yong-Joon Chwae18, Valentina Cianfanelli254,&#13;\nRoberto Ciarcia1775, Iwona A Ciechomska886, Maria Rosa Ciriolo1876, Mara Cirone1042, Sofie Claerhout1694,&#13;\nMichael J Clague1698, Joan Cl aria1457, Peter GH Clarke1687, Robert Clarke361, Emilio Clementi1045,1398, C edric Cleyrat1781,&#13;\nMiriam Cnop1366, Eliana M Coccia574, Tiziana Cocco1459, Patrice Codogno1375, J€orn Coers271, Ezra EW Cohen1533,&#13;\nDavid Colecchia235,567,577, Luisa Coletto25, N uria S Coll123, Emma Colucci-Guyon516, Sergio Comincini1829,&#13;\nMaria Condello578, Katherine L Cook2073, Graham H Coombs1929, Cynthia D Cooper2076, J Mark Cooper1395,&#13;\nIsabelle Coppens601, Maria Tiziana Corasaniti1387, Marco Corazzari485,1884, Ramon Corbalan1566,&#13;\nElisabeth Corcelle-Termeau251, Mario D Cordero1899, Cristina Corral-Ramos1289, Olga Corti507,1109, Andrea Cossarizza1767,&#13;\nPaola Costelli1993, Safia Costes1518, Susan L Cotman721, Ana Coto-Montes946, Sandra Cottet566,1688, Eduardo Couve1301,&#13;\nLori R Covey1015, L Ashley Cowart762, Jeffery S Cox1536, Fraser P Coxon1427, Carolyn B Coyne1846, Mark S Cragg1919,&#13;\nRolf J Craven1679, Tiziana Crepaldi1995, Jose L Crespo1300, Alfredo Criollo1285, Valeria Crippa558, Maria Teresa Cruz1576,&#13;\nAna Maria Cuervo26, Jose M Cuezva1277, Taixing Cui1907, Pedro R Cutillas987, Mark J Czaja27, Maria F Czyzyk-Krzeska1572,&#13;\nRuben K Dagda2068, Uta Dahmen1404, Chunsun Dai800, Wenjie Dai1187, Yun Dai2059, Kevin N Dalby1940,&#13;\nLuisa Dalla Valle1822, Guillaume Dalmasso1340, Marcello D’Amelio557, Markus Damme188, Arlette Darfeuille-Michaud1340,&#13;\nCatherine Dargemont950, Victor M Darley-Usmar1433, Srinivasan Dasarathy205, Biplab Dasgupta202, Srikanta Dash1254,&#13;\nCrispin R Dass242, Hazel Marie Davey8, Lester M Davids1560, David D avila227, Roger J Davis1731, Ted M Dawson604,&#13;\nValina L Dawson606, Paula Daza1898, Jackie de Belleroche470, Paul de Figueiredo1180,1182,&#13;\nRegina Celia Bressan Queiroz de Figueiredo135, Jos e de la Fuente1023, Luisa De Martino1775,&#13;\nAntonella De Matteis1171, Guido RY De Meyer1443, Angelo De Milito631, Mauro De Santi2002,

The field of organizational justice continues to be marked by several important research questions, including the size of relationships among justice dimensions, the relative importance of different justice criteria, and the unique effects of justice dimensions on key outcomes. To address such questions, the authors conducted a meta-analytic review of 183 justice studies. The results suggest that although different justice dimensions are moderately to highly related, they contribute incremental variance explained in fairness perceptions. The results also illustrate the overall and unique relationships among distributive, procedural, interpersonal, and informational justice and several organizational outcomes (e.g., job satisfaction, organizational commitment, evaluation of authority, organizational citizenship behavior, withdrawal, performance). These findings are reviewed in terms of their implications for future research on organizational justice.

Douc pointed out typos and mistakes in the French version, but should not be held responsible for those remaining!Part of Chapter 8 has a lot of common with a "reviewww" written by Christian Robert with Chantal Guihenneuc-Jouyaux and Kerrie Mengersen for the Valencia Bayesian meeting (and the Internet!).The input of the French working group "MC Cube," whose focus is on convergence diagnostics, can also be felt in several places of this book.Wally Gilks and David Spiegelhalter granted us permission to use their graph (Figure 2.3.1) and examples as Problems 7.44-7.55,for which we are grateful.Agostino Nobile kindly provided the data on which Figures 7.3.2and 7.3.2are based.Finally, Arnoldo Frigessi (from Roma) made the daring move of teaching (in English) from the French version in Olso, Norway

Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of information to include in publications describing in vivo experiments to enable others to scrutinise the work adequately, evaluate its methodological rigour, and reproduce the methods and results. Despite considerable levels of endorsement by funders and journals over the years, adherence to the guidelines has been inconsistent, and the anticipated improvements in the quality of reporting in animal research publications have not been achieved. Here, we introduce ARRIVE 2.0. The guidelines have been updated and information reorganised to facilitate their use in practice. We used a Delphi exercise to prioritise and divide the items of the guidelines into 2 sets, the "ARRIVE Essential 10," which constitutes the minimum requirement, and the "Recommended Set," which describes the research context. This division facilitates improved reporting of animal research by supporting a stepwise approach to implementation. This helps journal editors and reviewers verify that the most important items are being reported in manuscripts. We have also developed the accompanying Explanation and Elaboration (E&E) document, which serves (1) to explain the rationale behind each item in the guidelines, (2) to clarify key concepts, and (3) to provide illustrative examples. We aim, through these changes, to help ensure that researchers, reviewers, and journal editors are better equipped to improve the rigour and transparency of the scientific process and thus reproducibility.

The global decline in estuarine and coastal ecosystems (ECEs) is affecting a number of critical benefits, or ecosystem services. We review the main ecological services across a variety of ECEs, including marshes, mangroves, nearshore coral reefs, seagrass beds, and sand beaches and dunes. Where possible, we indicate estimates of the key economic values arising from these services, and discuss how the natural variability of ECEs impacts their benefits, the synergistic relationships of ECEs across seascapes, and management implications. Although reliable valuation estimates are beginning to emerge for the key services of some ECEs, such as coral reefs, salt marshes, and mangroves, many of the important benefits of seagrass beds and sand dunes and beaches have not been assessed properly. Even for coral reefs, marshes, and mangroves, important ecological services have yet to be valued reliably, such as cross-ecosystem nutrient transfer (coral reefs), erosion control (marshes), and pollution control (mangroves). An important issue for valuing certain ECE services, such as coastal protection and habitat-fishery linkages, is that the ecological functions underlying these services vary spatially and temporally. Allowing for the connectivity between ECE habitats also may have important implications for assessing the ecological functions underlying key ecosystems services, such coastal protection, control of erosion, and habitat-fishery linkages. Finally, we conclude by suggesting an action plan for protecting and/or enhancing the immediate and longer-term values of ECE services. Because the connectivity of ECEs across land-sea gradients also influences the provision of certain ecosystem services, management of the entire seascape will be necessary to preserve such synergistic effects. Other key elements of an action plan include further ecological and economic collaborative research on valuing ECE services, improving institutional and legal frameworks for management, controlling and regulating destructive economic activities, and developing ecological restoration options.

Theme identification is one of the most fundamental tasks in qualitative research. It also is one of the most mysterious. Explicit descriptions of theme discovery are rarely found in articles and reports, and when they are, they are often relegated to appendices or footnotes. Techniques are shared among small groups of social scientists, but sharing is impeded by disciplinary or epistemological boundaries. The techniques described here are drawn from across epistemological and disciplinary boundaries. They include both observational and manipulative techniques and range from quick word counts to laborious, in-depth, line-by-line scrutiny. Techniques are compared on six dimensions: (1) appropriateness for data types, (2) required labor, (3) required expertise, (4) stage of analysis, (5) number and types of themes to be generated, and (6) issues of reliability and validity.

This paper describes the Seventh Data Release of the Sloan Digital Sky Survey (SDSS), marking the completion of the original goals of the SDSS and the end of the phase known as SDSS-II. It includes 11,663 deg2 of imaging data, with most of the ~2000 deg2 increment over the previous data release lying in regions of low Galactic latitude. The catalog contains five-band photometry for 357 million distinct objects. The survey also includes repeat photometry on a 120° long, 2fdg5 wide stripe along the celestial equator in the Southern Galactic Cap, with some regions covered by as many as 90 individual imaging runs. We include a co-addition of the best of these data, going roughly 2 mag fainter than the main survey over 250 deg2. The survey has completed spectroscopy over 9380 deg2; the spectroscopy is now complete over a large contiguous area of the Northern Galactic Cap, closing the gap that was present in previous data releases. There are over 1.6 million spectra in total, including 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data release includes improved stellar photometry at low Galactic latitude. The astrometry has all been recalibrated with the second version of the USNO CCD Astrograph Catalog, reducing the rms statistical errors at the bright end to 45 milliarcseconds per coordinate. We further quantify a systematic error in bright galaxy photometry due to poor sky determination; this problem is less severe than previously reported for the majority of galaxies. Finally, we describe a series of improvements to the spectroscopic reductions, including better flat fielding and improved wavelength calibration at the blue end, better processing of objects with extremely strong narrow emission lines, and an improved determination of stellar metallicities.

Abstract The metacommunity concept is an important way to think about linkages between different spatial scales in ecology. Here we review current understanding about this concept. We first investigate issues related to its definition as a set of local communities that are linked by dispersal of multiple potentially interacting species. We then identify four paradigms for metacommunities: the patch‐dynamic view, the species‐sorting view, the mass effects view and the neutral view, that each emphasizes different processes of potential importance in metacommunities. These have somewhat distinct intellectual histories and we discuss elements related to their potential future synthesis. We then use this framework to discuss why the concept is useful in modifying existing ecological thinking and illustrate this with a number of both theoretical and empirical examples. As ecologists strive to understand increasingly complex mechanisms and strive to work across multiple scales of spatio‐temporal organization, concepts like the metacommunity can provide important insights that frequently contrast with those that would be obtained with more conventional approaches based on local communities alone.

Ceramics used for the repair and reconstruction of diseased or damaged parts of the musculo‐skeletal system, termed bioceramics, may be bioinert (alumina, zirconia), resorbable (tricalcium phosphate), bioactive (hydroxyapatite, bioactive glasses, and glass‐ceramics), or porous for tissue ingrowth (hydroxyapatite‐coated metals, alumina). Applications include replacements for hips, knees, teeth, tendons, and ligaments and repair for periodontal disease, maxillofacial reconstruction, augmentation and stabilization of the jaw bone, spinal fusion, and bone fillers after tumor surgery. Carbon coatings are thromboresistant and are used for prosthetic heart valves. The mechanisms of tissue bonding to bioactive ceramics are beginning to be understood, which can result in the molecular design of bioceramics for interfacial bonding with hard and soft tissues. Composites are being developed with high toughness and elastic modulus match with bone. Therapeutic treatment of cancer has been achieved by localized delivery of radioactive isotopes via glass beads. Development of standard test methods for prediction of long‐term (20‐year) mechanical reliability under load is still needed.