Nico Silins [(2012). ‘Judgment as a Guide to Belief.’ In D. Smithies and D. Stoljar (eds), Introspection and Consciousness, pp. 295–327. Oxford: Oxford University Press; (2013). ‘Introspection and Inference.’ Philosophical Studies 163, 291–315; (2020). ‘The Evil Demon Inside.’ Philosophy and Phenomenological Research 100, 325–343] argues that conscious judgements justify self-attribution of belief in the content judged. In defending his view, he makes use of Moore's paradox, seeking to show how his theory can explain what seems irrational or absurd about sentences of the form, ‘p and I do not believe that p’. I show why his argument strategy is not available to defend the view that conscious judgements can justify the self-attribution of belief in the content judged. I then propose an amended version of his theory, which holds that sincerely asserting a proposition – whether aloud or silently – justifies self-ascribing belief in the proposition expressed. In doing so, I draw on an argument which I made in Gregory [(2018). ‘The Feeling of Sincerity: Inner Speech and the Phenomenology of Assertion.’ Thought 7, 225–236] that there is something it is like to make a sincere assertion which is different from what it is like to make an insincere assertion. The phenomenology of sincere assertion provides immediate justification for self-ascription of belief in a proposition which has been sincerely asserted; nonetheless, it may be that we need to interpret our own assertions in order to determine which propositions they express. This paves the way for showing how two competing schools of thought about self-knowledge – one which holds that self-knowledge is immediate and one which holds that self-knowledge is inferential – might be combined.

Proficiency in design for additive manufacturing (DfAM) requires training and a lot of trial and error. To support the development of DfAM skills, we redesigned 47 design artifacts from case studies and derived tacit knowledge from successful and unsuccessful redesigns. All knowledge about these artifacts was then collected in a design catalog. In a workshop with a total of 48 graduates and students, 45 participants deemed the design catalog supportive. After evaluating their designs, we concluded that the use of a knowledge-based design catalog can develop and improve individual DfAM skills.

OpenAI is a research organization founded by, among others, Elon Musk, and supported by Microsoft. In November 2022, it released ChatGPT, an incredibly sophisticated chatbot, that is, a computer system with which humans can converse. The capability of this chatbot is astonishing: as well as conversing with human interlocutors, it can answer questions about history, explain almost anything you might think to ask it, and write poetry. This level of achievement has provoked interest in questions about whether a chatbot might have something similar to human intelligence and even whether one could be conscious. Given that the function of a chatbot is to process linguistic input and produce linguistic output, we consider that the most interesting question in this direction is whether a sophisticated chatbot might have inner speech. That is: might it talk to itself, internally? We explored this via a conversation with ‘Playground’, a chatbot which is very similar to ChatGPT but more flexible in certain respects. We put to it questions which, plausibly, can only be answered if one first produces some inner speech. Here, we present our findings and discuss their philosophical significance.

The U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS) has been a leader in weed science research covering topics ranging from the development and use of integrated weed management (IWM) tactics to basic mechanistic studies, including biotic resistance of desirable plant communities and herbicide resistance. ARS weed scientists have worked in agricultural and natural ecosystems, including agronomic and horticultural crops, pastures, forests, wild lands, aquatic habitats, wetlands, and riparian areas. Through strong partnerships with academia, state agencies, private industry, and numerous federal programs, ARS weed scientists have made contributions to discoveries in the newest fields of robotics and genetics, as well as the traditional and fundamental subjects of weed–crop competition and physiology and integration of weed control tactics and practices. Weed science at ARS is often overshadowed by other research topics; thus, few are aware of the long history of ARS weed science and its important contributions. This review is the result of a symposium held at the Weed Science Society of America’s 62nd Annual Meeting in 2022 that included 10 separate presentations in a virtual Weed Science Webinar Series. The overarching themes of management tactics (IWM, biological control, and automation), basic mechanisms (competition, invasive plant genetics, and herbicide resistance), and ecosystem impacts (invasive plant spread, climate change, conservation, and restoration) represent core ARS weed science research that is dynamic and efficacious and has been a significant component of the agency’s national and international efforts. This review highlights current studies and future directions that exemplify the science and collaborative relationships both within and outside ARS. Given the constraints of weeds and invasive plants on all aspects of food, feed, and fiber systems, there is an acknowledged need to face new challenges, including agriculture and natural resources sustainability, economic resilience and reliability, and societal health and well-being.

This paper provides an overview of established approaches for function integration in additive manufacturing and critically compares their capabilities. One of the decisive factors is how functions and structures are addressed. This is necessary because function integration - among many others - affects material decisions and the manufacturing process chain. It is one of many reasons to rethink the product architecture and a way to support the design of resource-efficient products. Various strategies for function integration exist. However, there are currently no approaches in additive manufacturing that provide systematic support for early function integration.

A systematic literature review identified 21 unique approaches. All approaches were categorized according to their abstraction level within a product architecture and their design type to be supported. They were then compared on the basis of their categorization, design objective and strategy for function integration to allow for a better understanding of when to use the approaches in research and practice. Key findings and considerations for adapting function integration approaches to early design stages are presented. In addition, several research gaps were identified.

Nowadays, companies operate in increasingly competitive and dynamic markets with fast-changing customer needs. Simultaneously, major advances are being made in information and communication technologies, and the digitization of products is progressing. Based on these economic and technological trends, smart product-service systems (PSS) are emerging as a new form of business model. Recent studies show that the transition to developing smart PSS is a major challenge for companies and that they require methodological support, as their internal structures are undergoing significant changes.

In order to provide a sound basis for support, we have undertaken a comprehensive study to identify requirements for a smart PSS development framework. 24 interviews and 5 workshops with companies that have recently focused on the development of smart PSS provide a rich set of empirical data to explore the challenges faced by companies today. We systematically analyzed the data and evaluated the results with our respondents. To increase the robustness and generalizability of our findings, we performed a contextual literature review and analyzed additional cases. This led us to a set of 17 requirements for a smart PSS development framework.

With the aim of producing a 3D representation of tumors, imaging and molecular annotation of xenografts and tumors (IMAXT) uses a large variety of modalities in order to acquire tumor samples and produce a map of every cell in the tumor and its host environment. With the large volume and variety of data produced in the project, we developed automatic data workflows and analysis pipelines. We introduce a research methodology where scientists connect to a cloud environment to perform analysis close to where data are located, instead of bringing data to their local computers. Here, we present the data and analysis infrastructure, discuss the unique computational challenges and describe the analysis chains developed and deployed to generate molecularly annotated tumor models. Registration is achieved by use of a novel technique involving spherical fiducial marks that are visible in all imaging modalities used within IMAXT. The automatic pipelines are highly optimized and allow to obtain processed datasets several times quicker than current solutions narrowing the gap between data acquisition and scientific exploitation.

The earliest monumentality in Western Europe is associated with megalithic structures, but where did the builders of these monuments live? Here, the authors focus on west-central France, one of the earliest centres of megalithic building in Atlantic Europe, commencing in the mid fifth millennium BC. They report on an enclosure at Le Peu (Charente), dated to the Middle Neolithic (c. 4400 BC), and defined by a ditch with two ‘crab claw’ entrances and a double timber palisade flanked by two timber structures—possibly defensive bastions. Inside, timber buildings—currently the earliest known in the region—were possibly home to the builders of the nearby Tusson long mounds.

The first, hidden stage of the Supreme Court’s agenda-setting process is the formation of the “discuss list,” the small set of cases actually considered in conference. Yet few have systematically considered the operation of and the influences on this critical initial phase of decision making. No systematic, empirical work makes comparisons over time of how features of cases shape the makeup of the chief justice’s discuss list. Here, we examine the composition of the discuss list through a multivariate analysis of all paid petitions for certiorari filed in October Term 1939, 1968, and 1982. We are thereby able to compare the tendencies and efficacy of three long-serving chief justices—Hughes, Warren, and Burger—in making up the discuss list. And, methodologically, we present an alternative to the “observed-value” and the “representative-case” methods of calculating effect sizes for second differences, with software to implement our proposal.

Political campaigns frequently emphasize the material stakes at play in election outcomes to motivate participation. However, field-experimental academic work has given greater attention to other aspects of voters' decisions to participate despite theoretical models of turnout and substantial observational work signaling that a contest's perceived importance affects the propensity to vote. We identify two classes of treatments that may increase the material incentive to participate and test these messages in a large-scale placebo-controlled field experiment in which approximately 24,500 treatment letters were delivered during Connecticut's 2013 municipal elections. We find some evidence that these messages are effective in increasing participation, as well as that some of them may be more effective than typical nonpartisan get-out-the-vote appeals. While these results remain somewhat preliminary, our findings have important implications for our understanding of how voters decide whether to participate and how best to mobilize citizens who would otherwise sit out elections.

Although the literature on US Supreme Court agenda-setting is sizable, justice-vote-level multivariate analyses of certiorari are almost exclusively limited to samples of discussed cases from 1986 to 1993. Moreover, these studies have done very little to explore justice-level heterogeneity on certiorari. Here, we address these lacunae by analyzing the predictors of individual justices’ cert votes on all paid cases from the 1939, 1968, and 1982 terms. We find substantial justice-level heterogeneity in the weight that justices place on the standard set of forces shaping the cert vote. We also show that some of this heterogeneity is associated with justices’ experience and ideological extremism, largely in theoretically predicted ways. In closing, we sound a note of caution on drawing conclusions about effects of justice attributes, when the number of justices is relatively small.

The Variables and Slow Transients Survey (VAST) on the Australian Square Kilometre Array Pathfinder (ASKAP) is designed to detect highly variable and transient radio sources on timescales from 5 s to $\sim\!5$ yr. In this paper, we present the survey description, observation strategy and initial results from the VAST Phase I Pilot Survey. This pilot survey consists of $\sim\!162$ h of observations conducted at a central frequency of 888 MHz between 2019 August and 2020 August, with a typical rms sensitivity of $0.24\ \mathrm{mJy\ beam}^{-1}$ and angular resolution of $12-20$ arcseconds. There are 113 fields, each of which was observed for 12 min integration time, with between 5 and 13 repeats, with cadences between 1 day and 8 months. The total area of the pilot survey footprint is 5 131 square degrees, covering six distinct regions of the sky. An initial search of two of these regions, totalling 1 646 square degrees, revealed 28 highly variable and/or transient sources. Seven of these are known pulsars, including the millisecond pulsar J2039–5617. Another seven are stars, four of which have no previously reported radio detection (SCR J0533–4257, LEHPM 2-783, UCAC3 89–412162 and 2MASS J22414436–6119311). Of the remaining 14 sources, two are active galactic nuclei, six are associated with galaxies and the other six have no multi-wavelength counterparts and are yet to be identified.

Additively manufactured final products and components are not always tailored to the additive manufacturing (AM) process, but they need to be in order to exploit the many advantages and potentials that AM provides. Therefore, an appropriate AM design should be targeted, which reduces the necessary iterations in the developing process of AM products. Although there is a large number of existing literature on the Design for Additive Manufacturing (DfAM), designers usually lack criteria in order to assess AM-conformity in conceptual design. In this paper, we provide a basis for the assessment of solution principles regarding their conformity for additive manufacturing.

First, existing literature on DfAM and AM products is reviewed comprehensively to derive criteria for the AM-conformity of solution principles. Subsequently, the correlations between these criteria are identified including the interdependencies to be considered when assessing AM-conformity. A basis for assessment is created, which offers designers early support in the development of AM-conformal designs.