Northern Illinois University

The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,873 new measurements from 758 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. Particle properties and search limits are listed in Summary Tables. We give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, Probability and Statistics. Among the 118 reviews are many that are new or heavily revised, including a new review on Neutrinos in Cosmology.Starting with this edition, the Review is divided into two volumes. Volume 1 includes the Summary Tables and all review articles. Volume 2 consists of the Particle Listings. Review articles that were previously part of the Listings are now included in volume 1.The complete Review (both volumes) is published online on the website of the Particle Data Group (http://pdg.lbl.gov) and in a journal. Volume 1 is available in print as the PDG Book. A Particle Physics Booklet with the Summary Tables and essential tables, figures, and equations from selected review articles is also available.The 2018 edition of the Review of Particle Physics should be cited as: M. Tanabashi et al. (Particle Data Group), Phys. Rev. D 98, 030001 (2018).

Abstract The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,143 new measurements from 709 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. Particle properties and search limits are listed in Summary Tables. We give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, Probability and Statistics. Among the 120 reviews are many that are new or heavily revised, including a new review on Machine Learning, and one on Spectroscopy of Light Meson Resonances. The Review is divided into two volumes. Volume 1 includes the Summary Tables and 97 review articles. Volume 2 consists of the Particle Listings and contains also 23 reviews that address specific aspects of the data presented in the Listings. The complete Review (both volumes) is published online on the website of the Particle Data Group (pdg.lbl.gov) and in a journal. Volume 1 is available in print as the PDG Book. A Particle Physics Booklet with the Summary Tables and essential tables, figures, and equations from selected review articles is available in print, as a web version optimized for use on phones, and as an Android app.

This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2658 new measurements from 644 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. Among the 112 reviews are many that are new or heavily revised including those on Heavy-Quark and Soft-Collinear Effective Theory, Neutrino Cross Section Measurements, Monte Carlo Event Generators, Lattice QCD, Heavy Quarkonium Spectroscopy, Top Quark, Dark Matter, ${V}_{\mathit{cb}}$ ${V}_{\mathit{ub}}$, Quantum Chromodynamics, High-Energy Collider Parameters, Astrophysical Constants, Cosmological Parameters, and Dark Matter.A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review. All tables, listings, and reviews (and errata) are also available on the Particle Data Group website: http://pdg.lbl.gov/.The 2012 edition of Review of Particle Physics is published for the Particle Data Group as article 010001 in volume 86 of Physical Review D.This edition should be cited as: J. Beringer et al. (Particle Data Group), Phys. Rev. D 86, 010001 (2012).

AUTORES: Daniel J Klionsky1745,1749*, Kotb Abdelmohsen840, Akihisa Abe1237, Md Joynal Abedin1762, Hagai Abeliovich425,
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\nKuan-Chih Chow822, Kamal Chowdhury730, Charleen T Chu1856, Tsung-Hsien Chuang827, Taehoon Chun657,
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\nRuben K Dagda2068, Uta Dahmen1404, Chunsun Dai800, Wenjie Dai1187, Yun Dai2059, Kevin N Dalby1940,
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\nCatherine Dargemont950, Victor M Darley-Usmar1433, Srinivasan Dasarathy205, Biplab Dasgupta202, Srikanta Dash1254,
\nCrispin R Dass242, Hazel Marie Davey8, Lester M Davids1560, David D avila227, Roger J Davis1731, Ted M Dawson604,
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\nRegina Celia Bressan Queiroz de Figueiredo135, Jos e de la Fuente1023, Luisa De Martino1775,
\nAntonella De Matteis1171, Guido RY De Meyer1443, Angelo De Milito631, Mauro De Santi2002,

Abstract The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,324 new measurements from 878 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. Particle properties and search limits are listed in Summary Tables. We give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, Probability and Statistics. Among the 120 reviews are many that are new or heavily revised, including a new review on High Energy Soft QCD and Diffraction and one on the Determination of CKM Angles from B Hadrons. The Review is divided into two volumes. Volume 1 includes the Summary Tables and 98 review articles. Volume 2 consists of the Particle Listings and contains also 22 reviews that address specific aspects of the data presented in the Listings. The complete Review (both volumes) is published online on the website of the Particle Data Group (pdg.lbl.gov) and in a journal. Volume 1 is available in print as the PDG Book. A Particle Physics Booklet with the Summary Tables and essential tables, figures, and equations from selected review articles is available in print and as a web version optimized for use on phones as well as an Android app.

To improve patient care and facilitate clinical research, the International League Against Epilepsy (ILAE) appointed a Task Force to formulate a consensus definition of drug resistant epilepsy. The overall framework of the definition has two "hierarchical" levels: Level 1 provides a general scheme to categorize response to each therapeutic intervention, including a minimum dataset of knowledge about the intervention that would be needed; Level 2 provides a core definition of drug resistant epilepsy using a set of essential criteria based on the categorization of response (from Level 1) to trials of antiepileptic drugs. It is proposed as a testable hypothesis that drug resistant epilepsy is defined as failure of adequate trials of two tolerated, appropriately chosen and used antiepileptic drug schedules (whether as monotherapies or in combination) to achieve sustained seizure freedom. This definition can be further refined when new evidence emerges. The rationale behind the definition and the principles governing its proper use are discussed, and examples to illustrate its application in clinical practice are provided.

The International League Against Epilepsy (ILAE) Commission on Classification and Terminology has revised concepts, terminology, and approaches for classifying seizures and forms of epilepsy. Generalized and focal are redefined for seizures as occurring in and rapidly engaging bilaterally distributed networks (generalized) and within networks limited to one hemisphere and either discretely localized or more widely distributed (focal). Classification of generalized seizures is simplified. No natural classification for focal seizures exists; focal seizures should be described according to their manifestations (e.g., dyscognitive, focal motor). The concepts of generalized and focal do not apply to electroclinical syndromes. Genetic, structural-metabolic, and unknown represent modified concepts to replace idiopathic, symptomatic, and cryptogenic. Not all epilepsies are recognized as electroclinical syndromes. Organization of forms of epilepsy is first by specificity: electroclinical syndromes, nonsyndromic epilepsies with structural-metabolic causes, and epilepsies of unknown cause. Further organization within these divisions can be accomplished in a flexible manner depending on purpose. Natural classes (e.g., specific underlying cause, age at onset, associated seizure type), or pragmatic groupings (e.g., epileptic encephalopathies, self-limited electroclinical syndromes) may serve as the basis for organizing knowledge about recognized forms of epilepsy and facilitate identification of new forms.

The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.

In the past few years, expenditure on influencer marketing has grown exponentially. The present study involves preliminary research to understand the mechanism by which influencer marketing affects consumers via social media. It proposes an integrated model—the social media influencer value model—to account for the roles of advertising value and source credibility. To test this model, we administered an online survey among social media users who followed at least one influencer. Partial least squares (PLS) path modeling results show that the informative value of influencer-generated content, influencer’s trustworthiness, attractiveness, and similarity to the followers positively affect followers’ trust in influencers’ branded posts, which subsequently influence brand awareness and purchase intentions. Theoretical and practical implications are discussed.

Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes.

Cluster analysis is a statistical technique that sorts observations into similar sets or groups. The use of cluster analysis presents a complex challenge because it requires several methodological choices that determine the quality of a cluster solution. This paper chronicles the application of cluster analysis in strategic management research, where the technique has been used since the late 1970s to investigate issues of central importance. Analysis of 45 published strategy studies reveals that the implementation of cluster analysis has been often less than ideal, perhaps detracting from the ability of studies to generate knowledge. Given these findings, suggestions are offered for improving the application of cluster analysis in future inquiry.

To the Editor: Fisher et al. (1) state, “Little common agreement exists on the definition of the terms seizure and epilepsy,” and they propose ILAE-endorsed definitions for these terms. Although their proposed definition of “seizure” is consistent with that which has been in use throughout the field for decades, their proposed definition of epilepsy is not. Fisher and colleagues (1) propose the following definition of epilepsy: “Epilepsy is a disorder of the brain characterized by an enduring predisposition to generate epileptic seizures and by the neurobiologic, cognitive, psychological, and social consequences of this condition.” The definition of epilepsy in Fisher's Table 1 (1) requires the occurrence of at least one epileptic seizure but not that the seizure be unprovoked. Although it may be helpful to consider diverse conditions (febrile seizure, acute symptomatic seizure, single unprovoked seizure, and epilepsy) within the context of studying the seizure disorders, it is not helpful to consider all of these conditions as epilepsy. The more restrictive definition of epilepsy (recurrent unprovoked seizures), adopted by the ILAE Commission on Epidemiology and Prognosis (2), is related to therapeutic, management, and counseling approaches and supported by epidemiologic studies of seizure disorders. Furthermore, this definition has been largely adopted in clinical practice and was instrumental in developing practice guidelines (3). The failure to clarify the concept of “enduring” is a problem with the proposed definition, and it is unclear how Fisher et al. (1) would define or make operational this term. Making operational “enduring alteration of the brain that increases the likelihood of future seizures (1)” would require a list of indicators of such an alteration. These, in turn, would have to be qualified and changed as knowledge increases. For clinical and scientific purposes, the operational criteria must be simple and robust. We suggest instead that the best way to know whether a person has an enduring alteration of the brain that increases the likelihood of future unprovoked seizures after a first seizure is the occurrence of a second unprovoked seizure. This new definition would reclassify many situations previously excluded from the term epilepsy in recent studies. Examples include a single provoked seizure secondary to a neurologic insult (e.g., stroke), a single provoked or unprovoked seizure in someone with depression or migraine, and a febrile seizure in a child with cerebral palsy, with an epileptiform EEG, or with febrile seizure recurrence. The all-inclusive definition proposed by Fisher et al. (1) is consistent with use before the emergence of the epidemiologic studies of seizure disorders and epilepsy over the past 60-year period. The exclusion of these conditions from the diagnosis of epilepsy was based on large, carefully conducted clinical and population-based studies. Most acute symptomatic seizures would be recategorized as epilepsy under the definition proposed by Fisher et al. (1). Acute symptomatic seizures have been defined as seizures in close temporal association with a transient CNS insult and presumed to be an acute manifestation of the insult. Although the risk of developing unprovoked seizure is higher in people with acute symptomatic seizures, in most, later seizures do not develop. Although the incidence of acute symptomatic seizure is similar to the incidence of epilepsy, the high early mortality and the protective effect of anticonvulsants on the development of acute symptomatic seizures dramatically distinguish this category of seizures from epilepsy. By the proposed definition (1), many children with febrile seizures, the most common convulsive disorder, would be reclassified as having epilepsy. This would be true for children with developmental delay, neurologic abnormalities, epileptiform EEG abnormalities, complex febrile seizure, and recurrent febrile seizure. Regardless of the presence of such factors, in most children with febrile seizure, later unprovoked seizures do not develop (4,5). Restricting the diagnostic labeling of epilepsy to the few who truly have recurrent unprovoked seizures would seem prudent. It is useful to study single unprovoked seizures within the context of epilepsy to better understand the underlying processes to increase the risk for the development of recurrent unprovoked seizures. Contrary to the proposed definition (1), the epidemiologic data on recurrence risks support separating single unprovoked seizure from recurrent unprovoked seizures (i.e., epilepsy). The recurrence risk is lower after a first unprovoked seizure (typically <50%) than the recurrence risk after a second unprovoked seizure for both children and adults (6,7), suggesting that the recurrence of unprovoked seizure or lack thereof delineates different entities. A major problem with the proposed definition (1), particularly for those with single seizure and with febrile seizure, is that labeling patients with only a single seizure as having epilepsy, when many will never experience another seizure, will cause unnecessary use of anticonvulsant drugs, increase stigma, and result in social and occupational limitation. This does not serve the needs of these patients and is inconsistent with epidemiologic data. The inclusion of associated conditions in the proposed definition (1) raises concerns on several levels. Although general agreement may exist that “for some people with epilepsy, behavioral disturbances such as interictal and postictal cognitive problems, can be part of the epileptic condition (1),” the definition as written seems to require these disturbances for the condition to be epilepsy. Thus a person with multiple unprovoked seizures and a likelihood of more would not have epilepsy by the definition of Fisher et al. unless one of these associated conditions also was present. This aspect of the proposal creates a new unnamed category that may be quite large—people who clearly have recurrent unprovoked seizures, but lack documentation of associated conditions. Even if the proposed behavioral component is accepted as an essential ingredient in the definition of epilepsy, it is unclear how this would be made operational. Other consequences ensue from this definition. The incidence of “epilepsy” will increase at least threefold, and the increase in prevalence will be greater, particularly in developing countries, which may provide political leverage. Undesired consequences of use of this definition will be the invalidation of prognostic studies, including those of mortality, long-term prognosis for seizure remission, and response to initial therapy. Contrary to the proposal of Fisher et al. (1), widespread acceptance of and agreement over the definitions of seizures and epilepsy are in general use in the field. We fail to see the advantages of the proposed definitions to the individual patient, to epilepsy as a condition, or to the study of epilepsy and the convulsive disorders. Maintaining a common language has been acknowledged in several ILAE Commission and Task Force reports as a prerequisite to communication and comparability of research from different groups. In addition, the medical, social, and emotional implications of epilepsy and seizures speak in favor of a separation between acute symptomatic seizures, febrile seizures, and unprovoked seizures and, for those with unprovoked seizures, between single and repeated episodes. To this end, the current definitions have been most successful. They are based on a process similar to the evidence-based approaches used for evaluating therapies and therapeutic policies. They may be subject to revision as new information comes to light, but this process should be respected. It does not appear that proposed definitions advance the field in any way.

Although significant attention has been paid to promoting the importance of physical activity in children, adolescents, and adults, we do not currently understand how to promote sustained physical activity levels throughout the lifespan. We contend that previous research has failed to consider the dynamic and synergistic role that motor skill competence plays in the initiation, maintenance, or decline of physical activity and how this role might change across developmental time. In this article, we present a conceptual model hypothesizing the relationships among physical activity, motor skill competence, perceived motor skill competence, health-related physical fitness, and obesity. We contend that the development of motor skill competence is a primary underlying mechanism that promotes engagement in physical activity.

Past suicidal behaviors including ideation and attempts have been identified as significant risk factors for subsequent suicidal behavior. However, inadequate attention has been given to the development or validation of measures of past suicidal behavior. The present study examined the reliability and validity of a brief self-report measure of past suicidal behavior, the Suicidal Behaviors Questionnaire-Revised (SBQ-R). Participants included psychiatric inpatient adolescents, high school students, psychiatric inpatient adults, and undergraduates. Logistic regression analyses provided empirical support for the usefulness of the SBQ-R as a risk measure of suicide to differentiate between suicide-risk and nonsuicidal study participants. Receiver operating characteristic (ROC) analyses indicated that the most useful cutoff scores on the SBQ-R were 7 for nonsuicidal samples, and 8 for clinical samples. Both the single SBQ-R Item 1 and SBQ-R total scores are recommended for use in clinical and nonclinical settings.

This biennial review summarizes much of Particle Physics. Using data from previous editions, plus 1900 new measurements from 700 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We also summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review.

To achieve a coherent evolutionary theory, it is necessary to account for the effects of the environment on the process of development. Phenotypic plasticity is the change in the expressed phenotype of a genotype as a function of the environment. Various measures of plasticity exist, many of which can be united within the framework of a polynomial function. This function is the norm of reaction. For the special case of a linear reaction norm, genetic variation can be partitioned into portions that are independent and dependent on the environment. From this partition two heritability measures are derived which can be used, alternatively, to compare populations or make predictions about the response to selection. Genetically, plasticity is likely due both to differences in allelic expression across environments and to changes in interactions among loci; plasticity is not a function of heterozygosity. Plasticity responds to both artificial and natural selection. The evolution of plasticity is modeled in three ways: optimality models, quantitative genetic models, and gametic models. All models make similar predictions about the conditions that will favor plasticity. In need of further development are the extension of quantitative genetic models, and structured population models; also needed are data on the true shapes of reaction norms and genetic variation and covariation for nonlinear reaction norm parameters and multiple environments.

This article synthesizes two GIS-based accessibility measures into one framework, and applies the methods to examining spatial accessibility to primary healthcare in the Chicago 10-county region. The floating catchment area method defines the service area of physicians by a threshold travel time while accounting for the availability of physicians by their surrounded demands. The gravity-based method considers a nearby physician more accessible than a remote one and discounts a physician's availability by a gravity-based potential. The former is a special case of the latter. Based on the 2000 Census and primary care physician data, this research assesses the variation of spatial accessibility to primary care in the Chicago region, and analyzes the sensitivity of results by experimenting with ranges of threshold travel times in the floating catchment area method and travel friction coefficients in the gravity model. The methods may be used to help the U.S. Department of Health and Human Services and state Health Departments improve health professional shortage areas designation.

This article describes the development and initial psychometric evaluation of an instrument to measure health-promoting life-style. Based on responses from 952 adults in midwestern communities, the Health-Promoting Lifestyle Profile was evaluated using item analysis, factor analysis, and reliability measures. Factor analysis isolated six dimensions: Self-Actualization, Health Responsibility, Exercise, Nutrition, Interpersonal Support, and Stress Management. These six factors accounted for 47.1% of the variance in the 48-item measure. Second-order factor analysis yielded a single factor, interpreted as Health-Promoting Lifestyle. The alpha reliability coefficient for the total scale is .922; alpha coefficients for the subscales range from .702 to .904. Further evaluation of the measure with different populations appears warranted. This instrument will enable researchers to investigate patterns and determinants of health-promoting life-style, as well as the effects of interventions to alter life-style.

Patrick Corrigan, Fred E. Markowitz, Amy Watson, David Rowan, Mary Ann Kubiak, An Attribution Model of Public Discrimination Towards Persons with Mental Illness, Journal of Health and Social Behavior, Vol. 44, No. 2 (Jun., 2003), pp. 162-179

This article describes the development and initial psychometric evaluation of an instrument to measure health-promoting life-style. Based on responses from 952 adults in midwestern communities, the Health-Promoting Lifestyle Profile was evaluated using item analysis, factor analysis, and reliability measures. Factor analysis isolated six dimensions: Self-Actualization, Health Responsibility, Exercise, Nutrition, Interpersonal Support, and Stress Management. These six factors accounted for 47.1% of the variance in the 48-item measure. Second-order factor analysis yielded a single factor, interpreted as Health-Promoting Lifestyle. The alpha reliability coefficient for the total scale is.922; alpha coefficients for the subscales range from .702 to .904. Further evaluation of the measure with different populations appears warranted. This instrument will enable researchers to investigate patterns and determinants of health-promoting life-style, as well as the effects of interventions to alter lifestyle.