1 Evidence-based policy requires researchers to provide the answers to ecological questions that are of interest to policy makers. To find out what those questions are in the UK, representatives from 28 organizations involved in policy, together with scientists from 10 academic institutions, were asked to generate a list of questions from their organizations. 2 During a 2-day workshop the initial list of 1003 questions generated from consulting at least 654 policy makers and academics was used as a basis for (...) generating a short list of 100 questions of significant policy relevance. Short-listing was decided on the basis of the preferences of the representatives from the policy-led organizations. 3 The areas covered included most major issues of environmental concern in the UK, including agriculture, marine fisheries, climate change, ecosystem function and land management. 4 The most striking outcome was the preference for general questions rather than narrow ones. The reason is that policy is driven by broad issues rather than specific ones. In contrast, scientists are frequently best equipped to answer specific questions. This means that it may be necessary to extract the underpinning specific question before researchers can proceed. 5 Synthesis and applications. Greater communication between policy makers and scientists is required in order to ensure that applied ecologists are dealing with issues in a way that can feed into policy. It is particularly important that applied ecologists emphasize the generic value of their work wherever possible. (shrink)

v. 1. Tema li︠u︡bvi v istorii filosofii i kulʹtury ; Li︠u︡bov v sovremennon mire -- v. 2. Antologii︠a︡ li︠u︡bvi.

Background: The factors influencing parents’ willingness to enroll their children in biobanks are poorly understood. This study sought to assess parents’ willingness to enroll their children, and their perceived benefits, concerns, and information needs under different consent and data-sharing scenarios, and to identify factors associated with willingness. Methods: This large, experimental survey of patients at the 11 eMERGE Network sites used a disproportionate stratified sampling scheme to enrich the sample with historically underrepresented groups. Participants were randomized to receive one of (...) three consent and data-sharing scenarios. Results: In total, 90,000 surveys were mailed and 13,000 individuals responded (15.8% response rate). 5737 respondents were parents of minor children. Overall, 55% (95% confidence interval 50–59%) of parents were willing to enroll their youngest minor child in a hypothetical biobank; willingness did not differ between consent and data-sharing scenarios. Lower educational attainment, higher religiosity, lower trust, worries about privacy, and attitudes about benefits, concerns, and information needs were independently associated with less willingness to allow their child to participate. Of parents who were willing to participate themselves, 25% were not willing to allow their child to participate. Being willing to participate but not willing to allow one’s child to participate was independently associated with multiple factors, including race, lower educational attainment, lower annual household income, public health care insurance, and higher religiosity. Conclusions: Fifty-five percent of parents were willing to allow their youngest minor child to participate in a hypothetical biobank. Building trust, protecting privacy, and addressing attitudes may increase enrollment and diversity in pediatric biobanks. (shrink)

This paper considers the research contribution of OCMS as reflected in the theses presented for higher degrees by its students. This does not therefore include the very significant research productivity of OCMS staff. The OCMS processes and procedures for admitting, supervising and examining research students are first reviewed. The statistical evidence relating to successful completions is then presented and analysed. The scope of the research undertaken is examined in relation to the stated aims of OCMS, and this leads to the (...) conclusion that in general these aims have been impressively met, both academically and in serving the needs of the worldwide Church. (shrink)

Anselm saw theology as fides quaerens intellectum, faith searching for understanding. Theology concerns itself with human awareness of something that transcends humanity. It starts where we are and involves a given-ness which forms its fundamental basis. Human experience or awareness of God is interpreted from within this agreed framework. Theology is a way of experiencing and interpreting life but it is also dynamic body of knowledge. Within the Christian tradition, this can be seen in the theologies from the so-called ‘margins’. (...) The study of such a dynamic body of knowledge has been the concern of theology and religious studies degree programmes in modern Universities. Theology is however, not the preserve of the elite professionals. The professional theologians need to stand alongside ordinary people and learning from their experiences as much as theirs. (shrink)

Initial responses to questionnaires used to assess participants' understanding of informed consent for malaria vaccine trials conducted in the United States and Mali were tallied. Total scores were analyzed by age, sex, literacy (if known), and location. Ninety-two percent (92%) of answers by United States participants and 85% of answers by Malian participants were correct. Questions more likely to be answered incorrectly in Mali related to risk, and to the type of vaccine. For adult participants, independent predictors of higher scores (...) were younger age and female sex in the United States, and male sex in Mali. Scores in the United States were higher than in Mali (P = 0.005). Despite this difference participants at both sites were well informed overall. Although interpretation must be qualified because questionnaires were not intended as research tools and were not standardized among sites, these results do not support concerns about systematic low understanding among research participants in developing versus developed countries. (shrink)

Job motivation remains an area of concern among researchers due to the rising issues of poor or lack of motivation among workers. This refers to one’s personal will or drives to perform a task at work. Meanwhile, job satisfaction refers to an employee’s sense of fulfillment with his or her work experience. Therefore, the current study utilized the descriptive- correlational research design to investigate the impact of job motivation on the job satisfaction of accountants. To gather essential data and achieve (...) the objectives of the study, Multidimensional Work Motivational Scale (MWMS) and Minnesota Satisfaction Questionnaire (MSQ) were administered to the target respondents. The collected data were then analyzed using a Multiple Regression Analysis; findings revealed that job motivation has a significant impact on the job satisfaction of accountants. Additionally, the results of this study were carefully evaluated and discussed, and recommendations were made to benefit the stakeholders of the study and contribute to the existing body of knowledge. (shrink)

Fan culture has grown immensely over the past few years. People are constantly looking up to celebrities and personalities as role models for their fashion, identity, and success. During the stage of adolescence, it is normal for teenagers to admire well- known people and form fan attachments as part of their identity formation. However, this admiration of a specific media figure can be associated with one's personality, cognitive processes, and psychological well-being. Thus, the current study aims to investigate the correlation (...) between celebrity admiration and the self-esteem of 238 Filipino male teenagers. The research instruments, namely Celebrity Attitude Scale (CAS) and Rosenberg Self-Esteem Scale (RSES) were both utilized through google forms. Results have shown high scores on celebrity admiration and the normal range of self-esteem of the participants. Using Pearson’s r correlation coefficient, it was found that celebrity admiration and self-esteem of Filipino male teenagers have a significant relationship that exists in a negative direction. (shrink)

We argue that artificial networks are explainable and offer a novel theory of interpretability. Two sets of conceptual questions are prominent in theoretical engagements with artificial neural networks, especially in the context of medical artificial intelligence: Are networks explainable, and if so, what does it mean to explain the output of a network? And what does it mean for a network to be interpretable? We argue that accounts of “explanation” tailored specifically to neural networks have ineffectively reinvented the wheel. In (...) response to, we show how four familiar accounts of explanation apply to neural networks as they would to any scientific phenomenon. We diagnose the confusion about explaining neural networks within the machine learning literature as an equivocation on “explainability,” “understandability” and “interpretability.” To remedy this, we distinguish between these notions, and answer by offering a theory and typology of interpretation in machine learning. Interpretation is something one does to an explanation with the aim of producing another, more understandable, explanation. As with explanation, there are various concepts and methods involved in interpretation: Total or Partial, Global or Local, and Approximative or Isomorphic. Our account of “interpretability” is consistent with uses in the machine learning literature, in keeping with the philosophy of explanation and understanding, and pays special attention to medical artificial intelligence systems. (shrink)

In a recent reply to our article, “What is Interpretability?,” Prasetya argues against our position that artificial neural networks are explainable. It is claimed that our indefeasibility thesis—that adding complexity to an explanation of a phenomenon does not make the phenomenon any less explainable—is false. More precisely, Prasetya argues that unificationist explanations are defeasible to increasing complexity, and thus, we may not be able to provide such explanations of highly complex AI models. The reply highlights an important lacuna in our (...) original paper, the omission of the unificationist account of explanation, and affords us the opportunity to respond. Here, we argue that artificial neural networks are explainable in a way that should satisfy unificationists and that interpretability methods present ways in which ML theories can achieve unification. (shrink)

After a brief review of pragmatic arguments against emotivism, the author of this monograph proceeds to outline and criticize two conflicting concepts of the morally right in Dewey's writings. A third interpretation, involving an "interaction of the factual and the normative" is advanced as more conformable to the spirit of instrumentalism.--A. D. P. M.

Constructive Neutral Evolution is an evolutionary mechanism that can explain much molecular inter-dependence and organismal complexity without assuming positive selection favoring such dependency or complexity, either directly or as a byproduct of adaptation. It differs from but complements other non-selective explanations for complexity, such as genetic drift and the Zero Force Evolutionary Law, by being ratchet-like in character. With CNE, purifying selection maintains dependencies or complexities that were neutrally evolved. Preliminary treatments use it to explain specific genetic and molecular structures (...) or processes, such as retained gene duplications, the spliceosome, and RNA editing. Here we aim to expand the scope of such explanation beyond the molecular level, integrating CNE with Multi-Level Selection theory, and arguing that several popular higher-level selection scenarios are in fact instances of CNE. Suitably contextualized, CNE occurs at any level in the biological hierarchy at which natural selection as normally construed occurs. As examples, we focus on modularity in protein–protein interaction networks or “interactomes,” the origin of eukaryotic cells and the evolution of co-dependence in microbial communities—a variant of the “Black Queen Hypothesis” which we call the “Gray Queen Hypothesis”. (shrink)

This is an intellectual biography of Benjamin Kidd, a leading Social Darwinist in the years before World War I, and a social prophet in the tradition of Comte and Spencer. His first book Social Evolution, published in 1894, was an immediate and enormous success around the world. In it, Kidd developed a collectivist form of Social Darwinism in tune with the values of Progressivism in America and the 'new liberalism' in Britain. By many it was regarded as the basis for (...) a properly scientific sociology, and the combination of its claims to scientific methodology, with an emphasis on non-rational forces as the agents of progress accurately caught the temper of its times. Launched on his career as a writer, Kidd's subsequent books and journalism continued to exercise extraordinary influence. His 'social imperialism', linking a bio-political defence of empire with a programme of social reform, won currency in the Anglo-American world at a time of expansionary fervour. (shrink)