Geochemistry and stable isotope record of black shales and inoceramids from the Demerara Rise

The bulk rock geochemistry and inoceramid isotopic composition from Cenomanian to Santonian, finely laminated, organic-rich black shales, recovered during Ocean Drilling Program Leg 207 on Demerara Rise (western tropical North Atlantic), suggest persistent anoxic (free H2S) conditions within the sediments and short-term variations within a narrow range of anoxic to episodically dysoxic bottom waters over a ~15 Ma time interval. In addition to being organic-rich, the 50-90 m thick sections examined exhibit substantial bulk rock enrichments of Si, P, Ba, Cu, Mo, Ni, and Zn relative to World Average Shale. These observations point to high organic burial fluxes, likely driven by high primary production rates, which led to the establishment of intensely sulfidic pore waters and possibly bottom waters, as well as to the enrichments of Cr, Mo, U, and V in the sediments. At the same time, the irregular presence of benthic inoceramids and foraminifera in this facies demonstrates that the benthic environment could not have been continuously anoxic. The d13C and d15N values of the inoceramid shell organics provide no evidence of chemosymbiosis and are consistent with pelagic rain as being a significant food source. Demerara Rise inoceramids also exhibit well-defined, regularly spaced growth lines that are tracked by d13C and d18O variations in shell carbonate that cannot be simply explained by diagenesis. Instead, productivity variations in surface waters may have paced the growth of the shells during brief oxygenation events suitable for benthic inoceramid settlement. These inferences imply tight benthopelagic coupling and more dynamic benthic conditions than generally portrayed during black shale deposition. By invoking different temporal scales for geochemical and paleontological data, this study resolves recent contradictory conclusions (e.g., sulfidic sedimentary conditions versus dysoxic to suboxic benthic waters) drawn from studies of either sediment geochemistry or fossil distributions alone on Demerara Rise. This variability may be relevant for discussions of black shales in general.

Intracranial EEG correlates of implicit relational inference within the hippocampus

Drawing inferences from past experiences enables adaptive behavior in future situations. Inference has been shown to depend on hippocampal processes. Usually, inference is considered a deliberate and effortful mental act which happens during retrieval, and requires the focus of our awareness. Recent fMRI studies hint at the possibility that some forms of hippocampus-dependent inference can also occur during encoding and possibly also outside of awareness. Here, we sought to further explore the feasibility of hippocampal implicit inference, and specifically address the temporal evolution of implicit inference using intracranial EEG. Presurgical epilepsy patients with hippocampal depth electrodes viewed a sequence of word pairs, and judged the semantic fit between two words in each pair. Some of the word pairs entailed a common word (e.g.,‘winter - red’, ‘red - cat’) such that an indirect relation was established in following word pairs (e.g, ‘winter - cat’). The behavioral results suggested that drawing inference implicitly from past experience is feasible because indirect relations seemed to foster ‘fit’ judgments while the absence of indirect relations fostered 'do not fit' judgments, even though the participants were unaware of the indirect relations. A event-related potential (ERP) difference emerging 400 ms post-stimulus was evident in the hippocampus during encoding, suggesting that indirect relations were already established automatically during encoding of the overlapping word pairs. Further ERP differences emerged later post-stimulus (1500 ms), were modulated by the participants' responses and were evident during encoding and test. Furthermore, response-locked ERP effects were evident at test. These ERP effects could hence be a correlate of the interaction of implicit memory with decision-making. Together, the data map out a time-course in which the hippocampus automatically integrates memories from discrete but related episodes to implicitly influence future decision making.

Should I Stay or Should I Go? Career Choice Intentions of Students with Family Business Background

Personal and motivational patterns of intentional founders have been researched in great depth; however, antecedents to career choices of intentional successors have been conspicuously missing in entrepreneurship research. By drawing on theory of planned behavior, we investigate how intentional founders, successors, and employees differ in terms of locus of control and entrepreneurial self-efficacy as well as independence and innovation motives. We find that transitive likelihood of career intent depends on degree of entrepreneurial self-efficacy and the independence motive. Unexpectedly, we see that high levels of internal locus of control lead to a preference of employment, which challenges traditional entrepreneurship research and suggests that the feasibility of an entrepreneurial career path does not automatically make it desirable. Our findings suggest that students with family business background are pessimistic about being in control in an entrepreneurial career, but optimistic about their efficacy to pursue an entrepreneurial career.

Some things that matter,/

How to concentrate -- How to deserve -- How to read -- The art of public speaking -- Maxims for speakers -- The use of the dictionary -- The fly-wheel of civilization : importance of habit -- How to think -- How to judge things -- Circumstantial evidence -- Facts and inferences --Hearsay and what is relevant -- How to find things out -- The laws of thought -- Legal maxims -- The moral duty of belief.

A history of trade unionism in the United States,

"Part I ... is based on the History of labour in the United States by Commons and associates ..."

Causación y ergatividad en la semántica relacional

En el marco de la gramática contrastiva entre inglés y castellano, asumimos la perspectiva generativista, según la cual la sintaxis humana resulta de procesos derivacionales que combinan, por medio de mecanismos innatos, elementos capaces de codificar significados primitivos. Trabajamos con datos, ya sea reales o inventados, que ilustran los distintos tipos de oraciones ?gramaticales? posibles en una lengua natural. Nos centramos en la noción de ?ergatividad?, utilizada por distintas teorías para explicar fenómenos sintácticos y semánticos no siempre coincidentes. Desde el Funcionalismo/Cognitivismo norteamericano, Scott DeLancey (2001) compara distintas lenguas y distingue morfológicamente los sujetos ?agentivos? en estructuras causadas de los sujetos ?afectados? en estructuras no causadas. Según la Lingüística Sistémica Funcional (Halliday 1985, 2004), la ergatividad abarca, no sólo la presencia o ausencia de Causa en un proceso particular, sino también la relación causal que vincula distintos procesos entre sí. El esquema ergativo de Halliday incluye, además de pares constituidos por eventos de cambio de estado no causados y de causa externa, eventos inergativos de causa externa, y eventos transitivos instigados por otro proceso, expresado lingüísticamente o bien inferido. Desde la perspectiva de la Semántica Relacional (Mateu, 2002), reducimos el número de ?constructos primitivos? disponibles de tres a dos. Consideramos dos alternancias: la ergativo-transitiva y la causa interna/externa con inergativos. No vinculamos ni sintáctica ni derivacionalmente las construcciones transitivas con los eventos inferidos que las instigan. Justificamos la relación derivacional que vincula las construcciones pasivas estáticas con las construcciones ergativas de verbos naturalmente alternantes, por un lado, y, con las construcciones transitivas de verbos de ?locatum? y de inergativos, por el otro. Reanalizamos, respecto de la bibliografía canónica, la naturaleza del clítico ?se? en las construcciones ergativas españolas. Este análisis orienta de manera teórica el abordaje de las construcciones pertinentes, y ofrece equivalencias posibles que pueden resultar útiles para la traducción

Causación y ergatividad en la semántica relacional

En el marco de la gramática contrastiva entre inglés y castellano, asumimos la perspectiva generativista, según la cual la sintaxis humana resulta de procesos derivacionales que combinan, por medio de mecanismos innatos, elementos capaces de codificar significados primitivos. Trabajamos con datos, ya sea reales o inventados, que ilustran los distintos tipos de oraciones ?gramaticales? posibles en una lengua natural. Nos centramos en la noción de ?ergatividad?, utilizada por distintas teorías para explicar fenómenos sintácticos y semánticos no siempre coincidentes. Desde el Funcionalismo/Cognitivismo norteamericano, Scott DeLancey (2001) compara distintas lenguas y distingue morfológicamente los sujetos ?agentivos? en estructuras causadas de los sujetos ?afectados? en estructuras no causadas. Según la Lingüística Sistémica Funcional (Halliday 1985, 2004), la ergatividad abarca, no sólo la presencia o ausencia de Causa en un proceso particular, sino también la relación causal que vincula distintos procesos entre sí. El esquema ergativo de Halliday incluye, además de pares constituidos por eventos de cambio de estado no causados y de causa externa, eventos inergativos de causa externa, y eventos transitivos instigados por otro proceso, expresado lingüísticamente o bien inferido. Desde la perspectiva de la Semántica Relacional (Mateu, 2002), reducimos el número de ?constructos primitivos? disponibles de tres a dos. Consideramos dos alternancias: la ergativo-transitiva y la causa interna/externa con inergativos. No vinculamos ni sintáctica ni derivacionalmente las construcciones transitivas con los eventos inferidos que las instigan. Justificamos la relación derivacional que vincula las construcciones pasivas estáticas con las construcciones ergativas de verbos naturalmente alternantes, por un lado, y, con las construcciones transitivas de verbos de ?locatum? y de inergativos, por el otro. Reanalizamos, respecto de la bibliografía canónica, la naturaleza del clítico ?se? en las construcciones ergativas españolas. Este análisis orienta de manera teórica el abordaje de las construcciones pertinentes, y ofrece equivalencias posibles que pueden resultar útiles para la traducción

Causación y ergatividad en la semántica relacional

En el marco de la gramática contrastiva entre inglés y castellano, asumimos la perspectiva generativista, según la cual la sintaxis humana resulta de procesos derivacionales que combinan, por medio de mecanismos innatos, elementos capaces de codificar significados primitivos. Trabajamos con datos, ya sea reales o inventados, que ilustran los distintos tipos de oraciones ?gramaticales? posibles en una lengua natural. Nos centramos en la noción de ?ergatividad?, utilizada por distintas teorías para explicar fenómenos sintácticos y semánticos no siempre coincidentes. Desde el Funcionalismo/Cognitivismo norteamericano, Scott DeLancey (2001) compara distintas lenguas y distingue morfológicamente los sujetos ?agentivos? en estructuras causadas de los sujetos ?afectados? en estructuras no causadas. Según la Lingüística Sistémica Funcional (Halliday 1985, 2004), la ergatividad abarca, no sólo la presencia o ausencia de Causa en un proceso particular, sino también la relación causal que vincula distintos procesos entre sí. El esquema ergativo de Halliday incluye, además de pares constituidos por eventos de cambio de estado no causados y de causa externa, eventos inergativos de causa externa, y eventos transitivos instigados por otro proceso, expresado lingüísticamente o bien inferido. Desde la perspectiva de la Semántica Relacional (Mateu, 2002), reducimos el número de ?constructos primitivos? disponibles de tres a dos. Consideramos dos alternancias: la ergativo-transitiva y la causa interna/externa con inergativos. No vinculamos ni sintáctica ni derivacionalmente las construcciones transitivas con los eventos inferidos que las instigan. Justificamos la relación derivacional que vincula las construcciones pasivas estáticas con las construcciones ergativas de verbos naturalmente alternantes, por un lado, y, con las construcciones transitivas de verbos de ?locatum? y de inergativos, por el otro. Reanalizamos, respecto de la bibliografía canónica, la naturaleza del clítico ?se? en las construcciones ergativas españolas. Este análisis orienta de manera teórica el abordaje de las construcciones pertinentes, y ofrece equivalencias posibles que pueden resultar útiles para la traducción

Habitat selection and population regulation in temporally fluctuating environments

Understanding and predicting the distribution of organisms in heterogeneous environments lies at the heart of ecology, and the theory of density-dependent habitat selection (DDHS) provides ecologists with an inferential framework linking evolution and population dynamics. Current theory does not allow for temporal variation in habitat quality, a serious limitation when confronted with real ecological systems. We develop both a stochastic equivalent of the ideal free distribution to study how spatial patterns of habitat use depend on the magnitude and spatial correlation of environmental stochasticity and also a stochastic habitat selection rule. The emerging patterns are confronted with deterministic predictions based on isodar analysis, an established empirical approach to the analysis of habitat selection patterns. Our simulations highlight some consistent patterns of habitat use, indicating that it is possible to make inferences about the habitat selection process based on observed patterns of habitat use. However, isodar analysis gives results that are contingent on the magnitude and spatial correlation of environmental stochasticity. Hence, DDHS is better revealed by a measure of habitat selectivity than by empirical isodars. The detection of DDHS is but a small component of isodar theory, which remains an important conceptual framework for linking evolutionary strategies in behavior and population dynamics.

Genetic analysis of complex demographic scenarios: Spatially expanding populations of the cane toad, Bufo marinus

Inferring the spatial expansion dynamics of invading species from molecular data is notoriously difficult due to the complexity of the processes involved. For these demographic scenarios, genetic data obtained from highly variable markers may be profitably combined with specific sampling schemes and information from other sources using a Bayesian approach. The geographic range of the introduced toad Bufo marinus is still expanding in eastern and northern Australia, in each case from isolates established around 1960. A large amount of demographic and historical information is available on both expansion areas. In each area, samples were collected along a transect representing populations of different ages and genotyped at 10 microsatellite loci. Five demographic models of expansion, differing in the dispersal pattern for migrants and founders and in the number of founders, were considered. Because the demographic history is complex, we used an approximate Bayesian method, based on a rejection-regression algorithm. to formally test the relative likelihoods of the five models of expansion and to infer demographic parameters. A stepwise migration-foundation model with founder events was statistically better supported than other four models in both expansion areas. Posterior distributions supported different dynamics of expansion in the studied areas. Populations in the eastern expansion area have a lower stable effective population size and have been founded by a smaller number of individuals than those in the northern expansion area. Once demographically stabilized, populations exchange a substantial number of effective migrants per generation in both expansion areas, and such exchanges are larger in northern than in eastern Australia. The effective number of migrants appears to be considerably lower than that of founders in both expansion areas. We found our inferences to be relatively robust to various assumptions on marker. demographic, and historical features. The method presented here is the only robust, model-based method available so far, which allows inferring complex population dynamics over a short time scale. It also provides the basis for investigating the interplay between population dynamics, drift, and selection in invasive species.

Community-based programmes to prevent falls in children: A systematic review

Objective: We systematically reviewed the literature to examine the evidence for the effectiveness of community-based interventions to reduce fall-related injury in children aged 0-16 years. Methods: We performed a comprehensive search of the literature using the following study selection criteria: community-based intervention study; target population was children aged 0-16 years; outcome measure was fall-related injury rates; and either a community control or historical control was used in the study design. Quality assessment and data abstraction were guided by a standardized procedure and performed independently by two authors. Results: Only six studies fitting the inclusion criteria were identified in our search and only two of these used a trial design with a contemporary community control. Neither of the high quality evaluation studies showed an effect from the intervention and while authors of the remaining studies reported effective falls prevention programmes, the pre- and post-intervention design, uncontrolled for background secular trends, makes causal inferences from these studies difficult. Conclusion: There is a paucity of research studies from which evidence regarding the effectiveness of community-based intervention programmes for the prevention of fall-related injury in children could be based.

Zero-non-zero patterned vector error correction modeling for I(2) cointegrated time series with applications in testing PPP and stock market relationships

Vector error-correction models (VECMs) have become increasingly important in their application to financial markets. Standard full-order VECM models assume non-zero entries in all their coefficient matrices. However, applications of VECM models to financial market data have revealed that zero entries are often a necessary part of efficient modelling. In such cases, the use of full-order VECM models may lead to incorrect inferences. Specifically, if indirect causality or Granger non-causality exists among the variables, the use of over-parameterised full-order VECM models may weaken the power of statistical inference. In this paper, it is argued that the zero–non-zero (ZNZ) patterned VECM is a more straightforward and effective means of testing for both indirect causality and Granger non-causality. For a ZNZ patterned VECM framework for time series of integrated order two, we provide a new algorithm to select cointegrating and loading vectors that can contain zero entries. Two case studies are used to demonstrate the usefulness of the algorithm in tests of purchasing power parity and a three-variable system involving the stock market.

Afterglows, redshifts, and properties of swift gammaray bursts

We present optical, near-IR, and radio follow-up of 16 Swift bursts, including our discovery of nine afterglows and a redshift determination for three. These observations, supplemented by data from the literature, provide an afterglow recovery rate of 52% in the optical/near-IR, much higher than in previous missions (BeppoSAX, HETE-2, INTEGRAL, and IPN). The optical/near-IR afterglows of Swift events are on average 1.8 mag fainter at t = 12 hr than those of previous missions. The X-ray afterglows are similarly fainter than those of pre-Swift bursts. In the radio the limiting factor is the VLA threshold, and the detection rate for Swift bursts is similar to that for past missions. The redshift distribution of pre-Swift bursts peaked at z similar to 1, whereas the six Swift bursts with measured redshifts are distributed evenly between 0.7 and 3.2. From these results we conclude that ( 1) the pre-Swift distributions were biased in favor of bright events and low-redshift events, ( 2) the higher sensitivity and accurate positions of Swift result in a better representation of the true burst redshift and brightness distributions ( which are higher and dimmer, respectively), and (3) similar to 10% of the bursts are optically dark, as a result of a high redshift and/or dust extinction. We remark that the apparent lack of low-redshift, low-luminosity Swift bursts and the lower event rate than prelaunch estimates ( 90 vs. 150 per year) are the result of a threshold that is similar to that of BATSE. In view of these inferences, afterglow observers may find it advisable to make significant changes in follow-up strategies of Swift events. The faintness of the afterglows means that large telescopes should be employed as soon as the burst is localized. Sensitive observations in RIz and near-IR bands will be needed to discriminate between a typical z similar to 2 burst with modest extinction and a high-redshift event. Radio observations will be profitable for a small fraction (similar to 10%) of events. Finally, we suggest that a search for bright host galaxies in untriggered BAT localizations may increase the chance of finding nearby low-luminosity GRBs.

A Mixture model with random-effects components for clustering correlated gene-expression profiles

Motivation: The clustering of gene profiles across some experimental conditions of interest contributes significantly to the elucidation of unknown gene function, the validation of gene discoveries and the interpretation of biological processes. However, this clustering problem is not straightforward as the profiles of the genes are not all independently distributed and the expression levels may have been obtained from an experimental design involving replicated arrays. Ignoring the dependence between the gene profiles and the structure of the replicated data can result in important sources of variability in the experiments being overlooked in the analysis, with the consequent possibility of misleading inferences being made. We propose a random-effects model that provides a unified approach to the clustering of genes with correlated expression levels measured in a wide variety of experimental situations. Our model is an extension of the normal mixture model to account for the correlations between the gene profiles and to enable covariate information to be incorporated into the clustering process. Hence the model is applicable to longitudinal studies with or without replication, for example, time-course experiments by using time as a covariate, and to cross-sectional experiments by using categorical covariates to represent the different experimental classes. Results: We show that our random-effects model can be fitted by maximum likelihood via the EM algorithm for which the E(expectation) and M(maximization) steps can be implemented in closed form. Hence our model can be fitted deterministically without the need for time-consuming Monte Carlo approximations. The effectiveness of our model-based procedure for the clustering of correlated gene profiles is demonstrated on three real datasets, representing typical microarray experimental designs, covering time-course, repeated-measurement and cross-sectional data. In these examples, relevant clusters of the genes are obtained, which are supported by existing gene-function annotation. A synthetic dataset is considered too.

Adverse feedback sequences in exploited marine systems: Are deliberate interruptive actions warranted?

Several mechanisms for self-enhancing feedback instabilities in marine ecosystems are identified and briefly elaborated. It appears that adverse phases of operation may be abruptly triggered by explosive breakouts in abundance of one or more previously suppressed populations. Moreover, an evident capacity of marine organisms to accomplish extensive geographic habitat expansions may expand and perpetuate a breakout event. This set of conceptual elements provides a framework for interpretation of a sequence of events that has occurred in the Northern Benguela Current Large Marine Ecosystem (off south-western Africa). This history can illustrate how multiple feedback loops might interact with one another in unanticipated and quite malignant ways, leading not only to collapse of customary resource stocks but also to degradation of the ecosystem to such an extent that disruption of customary goods and services may go beyond fisheries alone to adversely affect other major global ecosystem concerns (e.g. proliferations of jellyfish and other slimy, stingy, toxic and/or noxious organisms, perhaps even climate change itself, etc.). The wisdom of management interventions designed to interrupt an adverse mode of feedback operation is pondered. Research pathways are proposed that may lead to improved insights needed: (i) to avoid potential 'triggers' that might set adverse phases of feedback loop operation into motion; and (ii) to diagnose and properly evaluate plausible actions to reverse adverse phases of feedback operation that might already have been set in motion. These pathways include the drawing of inferences from available 'quasi-experiments' produced either by short-term climatic variation or inadvertently in the course of biased exploitation practices, and inter-regional applications of the comparative method of science.