Explicit Link Research Articles

Translation of Pronouns and Deictic Positioning in the Thai Prime Minister’s Weekly Addresses

This study investigates the translation of the weekly Thai prime ministerial addresses, focusing on pronouns and deictic positioning. The English translation is considered a new feature of this political genre, with implications for Thailand’s political situation. The study analyses Prayut Chan-o-cha’s weekly addresses using Munday’s pronouns and deixis categorisation based on the interpersonal concept in systemic functional linguistics. The central concerns are how the premier used Thai pronouns and positioned the addressees in his speeches and if their translation properly represents them. The findings reveal that the prime minister’s (PM) selection of pronouns defines his addressees into distant and proximate, positive and negative groups. However, his pronoun use is ambivalent and slippery. The translation of his pronoun use causes the obligatory shifts in the target text because of the structural differences between Thai and English. There is a tendency for explicitation of the PM’s deictic positioning due to the re-insertion of the missing pronouns. In rendering the PM’s temporal deixis into English, the translator managed to connect his imagined glorious past of Thailand with its hopeful future. These explicit time links evoke a nationalistic image and allude to Thailand’s recent political turmoil.

Climate change from the perspective of the European Court of Human Rights

Is it possible to address one of the most serious dangers of the modern world, climate emergency, before the European Court of Human Rights? Although climate change can potentially impair many of the rights recognized by the European Convention on Human Rights, there has not yet been any judgment on this issue from the ECtHR. This article explores the opportunities to use ECHR human rights law to reduce climate change's effects. It discusses the relevance of the human rights framework in the subject matter illustrated with case law from the European Court of Human Rights. The paper's main goal is to establish and explain the explicit link between climate change and human rights in relation to the corresponding obligations of governments according to the standards of the ECtHR jurisprudence.

Categorías de análisis tímbrico orientadas al desarrollo auditivo: aproximación desde la espectromorfología y la cognición corporeizada

In our academic context, study of timbre as a structuring parameter is not a common content in subjects oriented to the development of listening skills (Ear Training, Music Gramatics), except in some analysis scenarios oriented to composition training. Smalley (1994) argues that musical timbre deals with the unfolding and shaping of the sound spectrum, which he summarizes in the term spectromorphology. This approach includes metaphorical terms such as space, movement, and growth, used to describe and analyze the listening experience of electroacoustic music and related instrumental music. These terms seek to promote mime-sis to facilitate the conceptualization and understanding of spectromorphological aspects, which leads us to think that his proposal may be based on embodied cognitive resources such as conceptual metaphors and image schemas, based in the metaphor theory (Johnson, 1987). The objective of this work is to show advances in a study that seeks the delimitation of timbre analysis categories, oriented to the development of listening skills, focusing on making ex-plicit links between sound movement categories in Denis Smalley's spectromorphological approach and cognitive resources such as conceptual metaphor and image schemas.

Air pollution, human health and climate change: newspaper coverage of Australian bushfires

We examine 512 Australian newspaper articles published over a five-year period (2016–2021) that report on air pollution due to bushfire smoke and resulting human health impacts. We analyze to what extent these articles provide information on the possible range of negative health impacts due to bushfire smoke pollution, and to what extent they report on climate change as a driver behind increased bushfire risk. A temporary surge in articles in our sample occurs during the unusually severe 2019/2020 Black Summer bushfires. However, most articles are limited to general statements about the health impacts of bushfire smoke, with only 50 articles in the sample (9%) mentioning an explicit link between bushfire smoke inhalation and cardiovascular and respiratory problems or increases in mortality risk. About 148 of the 512 articles in the sample (29%) established a connection between bushfire risk and climate change. We carry out a further keyword analysis to identify differences in reporting by Australia’s two main publishing groups (News Corp Australia and Nine Entertainment), which shows that articles in News Corp Australia outlets offered the lowest climate change coverage. We suggest that more detailed communication strategies are needed to strengthen public preparedness for future impacts.

Estimating and Extrapolating Survival Using a State-Transition Modeling Approach: A Practical Application in Multiple Myeloma

ObjectivesState-transition models (STMs) applied in oncology have given limited considerations to modeling postprogression survival data. This study presents an application of an STM focusing on methods to evaluate the postprogression transition and its impact on survival predictions. MethodsData from the lenalidomide plus dexamethasone arm of the ASPIRE trial was used to estimate transition rates for an STM. The model accounted for the competing risk between the progression and preprogression death events and included an explicit structural link between the time to progression and subsequent death. The modeled transition rates were used to simulate individual disease trajectories in a discrete event simulation framework, based on which progression-free survival and overall survival over a 30-year time horizon were estimated. Survival predictions were compared with the observed trial data, matched external data, and estimates obtained from a more conventional partitioned survival analysis approach. ResultsThe rates of progression and preprogression death were modeled using piecewise exponential functions. The rate of postprogression mortality was modeled using an exponential function accounting for the nonlinear effect of the time to progression. The STM provided survival estimates that closely fitted the trial data and gave more plausible long-term survival predictions than the best-fitting Weibull model applied in a partitioned survival analysis. ConclusionsThe fit of the STM suggested that the modeled transition rates accurately captured the underlying disease process over the modeled time horizon. The considerations of this study may apply to other settings and facilitate a wider use of STMs in oncology.

Beyond food for thought – Directing sustainability transitions research to address fundamental change in agri-food systems

Dominant agricultural and food systems lead to continuous resource depletion and unacceptable environmental and social impacts. While current calls for changing agrifood systems are increasingly framed in the context of sustainability transitions, they rarely make an explicit link to transition studies to address these systemic challenges, nor do transition scholars sufficiently address agri-food systems, despite their global pertinence. From this viewpoint, we illustrate several gaps in the agri-food systems debate that sustainability transition studies could engage in. We propose four avenues for research in the next decade of transition research on agri-food systems: 1) Crossscale dynamics between coupled systems; 2) Social justice, equity and inclusion; 3) Sustainability transitions in low- and middle-income countries; 4) Cross-sectoral governance and system integration. We call for a decade of new transition research that moves beyond single-scale and sector perspectives toward more inclusive and integrated analyses of food system dynamics.

A FIRST ATTEMPT TO DEFINE LEVEL OF DETAILS BASED ON DECISION-MAKING TASKS: APPLICATION TO UNDERGROUND UTILITY NETWORK

Abstract. Level of detail (LoD) is a key concept for 3D city modeling to optimise visualisation. The LoDs of CityGML shows this trend. This paper explores the relevance of having LoD for visualising 3D model of Underground Utility Networks (UUN). A new approach is proposed for designing multiple LoDs modeling in creating an explicit link between the content of the 3D model and the decision-making process (or operational tasks) to be performed by a user. This Multiple Level of detail Approach (MLA) is divided into four steps. The first step requires defining the visualisation needs in terms of five variables (geometry, topology, semantic, contextual information, and semiology). Next, tasks to be performed are analyzed and categorized. Finally, a matrix of possible LoDs is created for all tasks and the minimum LoD required is proposed. In this paper, we applied this approach for the use case of granting connection permits to water and sewer networks. Learning aspects are proposed in the discussion.

Radical Commemoration, the Politics of the Street, and the 150th Anniversary of the Paris Commune of 1871

Abstract The memory of the Paris Commune of 1871 has long been summoned as an example of urban revolutionary struggle. In 2011 a Parisian street art collective, RaspouTeam, produced a series of commemorative installations across Paris to mark the 140th anniversary of the Commune. They intended the project to make an explicit link between the politics of the Paris Commune of 1871, and the politics of public space in the twenty-first century city. 2021 marks the 150th anniversary of the Commune. In the last decade the struggle to halt the encroachment of capital upon community and the demand for democratic public spaces (as called for by the Communards of Paris) have remained at the forefront of urban political projects. As pseudo-public open spaces and corporate-owned urban areas present new battlegrounds for economic and social justice protests in cities across the globe, the anniversary of the Paris Commune offers an opportunity to reflect on how and why we remember radical urban resistance of the past, and to ask whether doing so has the potential to arm us for the struggles of today.

Organic Matter Chemistry Drives Carbon Dioxide Production of Peatlands

AbstractPeatlands play a critical role in the global carbon (C) cycle, encompassing ∼30% of the 1,500 Pg of C stored in soils worldwide. However, this C is vulnerable to climate and land‐use change. Ecosystem models predict the impact of perturbation on C fluxes based on soil C pools, yet responses could vary markedly depending on soil organic matter (SOM) chemistry. Here, we show that one SOM functional group responds strongly to environmental factors and predicts the risk of carbon dioxide (CO2) release from peatlands. The molecular composition of SOM in 125 peatlands differed markedly at the global scale due to variation in temperature, land‐use, vegetation, and nutrient status. Despite this variation, incubation of peat from a subset of 11 sites revealed that O‐alkyl C (i.e., carbohydrates) was the strongest predictor of aerobic CO2 production. This explicit link provides a simple parameter that can improve models of peatland CO2 fluxes.

Biodiversity Literature Repository: Building the customized FAIR repository by using custom metadata

In the landscape of general-purpose repositories, Zenodo was built at the European Laboratory for Particle Physics' (CERN) data center to facilitate the sharing and preservation of the long tail of research across all disciplines and scientific domains. Given Zenodo’s long tradition of making research artifacts FAIR (Findable, Accessible, Interoperable, and Reusable), there are still challenges in applying these principles effectively when serving the needs of specific research domains. Plazi’s biodiversity taxonomic literature processing pipeline liberates data from publications, making it FAIR via extensive metadata, the minting of a DataCite Digital Object Identifier (DOI), a licence and both human- and machine-readable output provided by Zenodo, and accessible via the Biodiversity Literature Repository community at Zenodo. The deposits (e.g., taxonomic treatments, figures) are an example of how local networks of information can be formally linked to explicit resources in a broader context of other platforms like GBIF (Global Biodiversity Information Facility). In the context of biodiversity taxonomic literature data workflows, a general-purpose repository’s traditional submission approach is not enough to preserve rich metadata and to capture highly interlinked objects, such as taxonomic treatments and digital specimens. As a prerequisite to serve these use cases and ensure that the artifacts remain FAIR, Zenodo introduced the concept of custom metadata, which allows enhancing submissions such as figures or taxonomic treatments (see as an example the treatment of Eurygyrus peloponnesius) with custom keywords, based on terms from common biodiversity vocabularies like Darwin Core and Audubon Core and with an explicit link to the respective vocabulary term. The aforementioned pipelines and features are designed to be served first and foremost using public Representational State Transfer Application Programming Interfaces (REST APIs) and open web technologies like webhooks. This approach allows researchers and platforms to integrate existing and new automated workflows into Zenodo and thus empowers research communities to create self-sustained cross-platform ecosystems. The BiCIKL project (Biodiversity Community Integrated Knowledge Library) exemplifies how repositories and tools can become building blocks for broader adoption of the FAIR principles. Starting with the above literature processing pipeline, the concepts of and resulting FAIR data, with a focus on the custom metadata used to enhance the deposits, will be explained.

New Horizons for the Journal: Familiar Landscapes in Child Protection

New Horizons for the Journal: Familiar Landscapes in Child Protection

Ecological processes associated with different animal taxa in urban environments

AbstractUrbanization is increasing globally with wide‐ranging consequences for biodiversity and the ecological processes it performs. Yet knowledge of the range of ecological processes supported by biodiversity in urban environments, and the different taxa that perform these processes is poorly understood. We used a text‐analysis approach to identify the research trends and gaps in knowledge in the literature on ecological processes provided by animals in urban environments. We found a divide in urban ecological processes research that grouped studies into those with an explicit link to ecological processes and those that focused on biodiversity and made an implicit link to ecological processes. We also found that the dominant taxa in urban ecological processes research were insects, which has more than twice as many studies as birds or mammals, potentially due to their recognized and explicit link to key processes and services (e.g., pollination, pollution biomonitoring) and disservices (e.g., pests, disease transmission). We found a further split between terrestrial and aquatic studies, with urban aquatic studies also declining in relative prevalence over the last 20 yr. To consolidate and advance research on ecological processes in urban environments, we suggest it will be important to bridge the divide between studies on explicit services and others on more general biodiversity. This might be achieved by placing greater focus on the processes provided by non‐insect taxa, and by integrating aquatic and terrestrial perspectives.

Complex Temporal Biology: Towards a Unified Multi-Scale Approach to Predict the Flow of Information.

Two hallmarks of biological processes are complexity and time. While complexity can have many meanings, in this paper we propose an explicit link to the flow of time and how it is experienced by the organism. While the flow of time is rooted in constraints of fundamental physics, understanding the operation of biological systems in terms of processual flow and tempo is more elusive. Fortunately, the convergence of new computational and methodological perspectives will provide a means to transform complicated, nonlinear paths between related phenomena at different time scales into dynamic four-dimensional perspectives. According to the complex temporal biology approach, information flow between time scales of multiple lengths is a transformational process that acts to regulate life's complexity. Interactions between temporal intervals of differing magnitude and otherwise loosely-related mechanisms can be understood as inter-timescale information flow. We further propose that informational flow between time scales is the glue that binds the multiple vertical layers of biocomplexity, as well as yielding surprising outcomes ranging from complex behaviors to the persistence of lineages. Building a foundation of rules based on common interactions between orders of time and common experiential contexts would help to reintegrate biology. Emerging methodologies such as state-of-the-art imaging, visualization techniques, and computational data analysis can help us uncover these interactions. In conclusion, we propose educational and community-level changes that would better enable our vision.

A bit closer to the past: the three-dimensionalization of an Inca ceremony in the north Calchaquí Valley (Salta, Argentina)

<p>Like other expansive polities, the expansion of the Inca empire across the highlands and lowlands of South America is not only a history of trade and warfare, but also of mesmerizing public performances that yielded new and memorable experiences. During highly ritualized public celebratory events, the local polities gained first-hand access to the imperial liturgy, which was vital to promote and legitimate the Inca cosmology across the newly acquired lands. Especially in the last 20 years, new technologies, an ever-growing corpus of archaeological data, as well as increasing hardware capacity and software development, make it possible to emulate the scenes that people got to witness during the Inca public events, at a home computer scale and without complex and expensive equipment. Furthermore, it prompts us to test and apply new tools and academic dissemination techniques, perhaps more suitable to current technologies and means of knowledge storage and circulation. This article presents the process of building a three-dimensional (3D) model that, on the one hand, combines historical, ethnographic, and archaeological data with Geographic Information System (GIS) datasets; on the other hand, it uses detailed architectural analysis and astronomical measurements. The objective is to yield renders that accurately display the atmospheric and lighting conditions prevailing when the site was inhabited. We will offer a detailed description of all methods, techniques, equipment, and software used to create the model and the parameters for rendering the images. The authors intend to exemplify how 3D modelling goes well beyond the 3D model as a product in itself; it becomes a fundamental tool that encouraged us to test new variables and discuss new interpretations about this settlement. Results indicate that its builders designed these settlement's Inca compounds to show off the imperial capabilities and constructive proficiency, to convey exceptional, memorable experiences to its residents and visitors, and to stage explicit links between the imperial representatives and some fundamental procreative components of the Andean cosmos. In doing so, Guitián's plaza served to stage and communicate the privileged role the imperial representatives claimed to have in a broader cosmological scheme.</p><p>Highlights:</p><ul><li><p>Inca public performances were finely choreographed so that objects, places, people, landscape, and skyscape features interacted according to the main principles of imperial cosmology.</p></li><li><p>Current mid-range hardware and specialized yet reasonably user-friendly software are suitable to create accurate three-dimensional (3D) models combining historical, archaeological, and astronomical data.</p></li><li><p>Creating such a detailed 3D model contributes to cultural heritage and academic dissemination and prompted us to revise and broaden our interpretations.</p></li></ul>

Multi-scale waterfowl habitat conservation planning in Wisconsin, USA

ContextThe North American Waterfowl Management Plan and the Upper Mississippi River/Great Lakes Joint Venture waterfowl habitat conservation strategy provide continental and regional guidance, respectively, for waterfowl habitat conservation planning. They were not designed to guide watershed- scale waterfowl habitat delivery.ObjectiveOur goal was to develop a waterfowl habitat decision support framework for the state of Wisconsin using biological and social criteria to guide state and local-scale practitioners with an explicit link to larger scale objectives.MethodsWe engaged a core group of wetland and waterfowl experts to decide upon decision support layers relevant to biological and social objectives, evaluate variables, establish weights, and review model outputs for reasonableness and accuracy. We used spatial analyst tools, kernel density estimators, and weighted sums to create spatially explicit models to identify landscapes and watersheds important for waterfowl. We identified habitat resources that exist currently (Conservation Capital) and considered potential resources (Conservation Opportunities) which could enhance wetland restoration efforts.ResultsWe developed a transparent framework to identify and prioritize landscapes for conserving waterfowl habitat at the Hydrologic Unit Code 12 watershed scale in Wisconsin, by maintaining continental and regional priorities, and including local landscape characteristics, biological criteria, and researcher, manager, and biologist expertise.ConclusionsLocal detail is critical for implementing waterfowl habitat delivery and making efficient use of limited funds for conservation but can be more abstract in larger regional or continental conservation planning. Our models are science-based, transparent, defensible, and can be modified as social, political, biological, and environmental forces change.

Efimov Physics and Connections to Nuclear Physics

Physical systems characterized by a shallow two-body bound or virtual state are governed at large distances by continuous scale invariance, which is broken into discrete scale invariance when three or more particles come into play. This symmetry induces a universal behavior for different systems that is independent of the details of the underlying interaction and rooted in the smallness of the ratio ℓ/ a B ≪ 1, where the length a B is associated with the binding energy of the two-body system [Formula: see text], and ℓ is the natural length given by the interaction range. Efimov physics refers to this universal behavior, which is often hidden by the onset of system-specific nonuniversal effects. In this review, we identify universal properties by providing an explicit link of physical systems to their unitary limit, in which a B → ∞, and we show that nuclear systems belong to this class of universality.

“Between a Rock and Reclaimed Land:” A Structural Comparison between Singaporean and Mauritian Petrifaction Myths Between a Rock and Reclaimed Land: A Structural Comparison of Si-Tanggang and the Pieter Both Folktale

This paper investigates the folktale motif, "transformation of human into stone," i.e., petrifaction, in two narratives of different oral cultures; the Mauritian myth of the Pieter Both mountain and the Singaporean Malay iteration of Si-Tanggang. While both stories feature a character petrified as punishment for his misdeeds, the Singaporean retelling of Si-Tanggang makes no mention of a specific location nor geographical feature, unlike the Mauritian folktale and other versions of Si-Tanggang recounted elsewhere in the Malay Archipelago. To discover possible reasons for of functionalism as a folk explanation for natural phenomena by the Singaporean narrative, I conduct a comparative analysis of the two, through a lens of form, Propp (1968), field, and function. The comparison reveals divergences between form and field, in that between Singapore and Mauritius, storytelling as a cultural practice differs in its moralistic, nationalistic and ecological functions. The loss of an explicit geographical link in the Singaporean iteration of Si-Tanggang may be explained by how storytelling in Singapore has largely shed its ecological function. These observations also suggest that structural comparisons of folktales can help further our understanding of each individual oral culture, and in particular, how they have been shaped by historical and sociocultural forces.

Inverse Design of Axisymmetric Shapes in Glassy Nematic Bilayers

Abstract Programming desired shapes of stimuli-responsive nematic sheets is a challenging yet crucial problem for morphing applications. Here we propose a strategy for inverse design of axisymmetric shapes via circular bilayers composed of two glassy nematic layers with radially symmetric and orthogonal director fields. In this situation, an explicit link can be established between the director orientation and the bilayer deflection. The result provides a recipe for how to construct a director pattern which, upon stimulation, leads to a prescribed shape of revolution. For illustration, two examples concerning simply supported and loosely clamped bilayer discs are given.

Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors

Classical canonical correlation analysis (CCA) requires matrices to be low dimensional, i.e. the number of features cannot exceed the sample size. Recent developments in CCA have mainly focused on the high-dimensional setting, where the number of features in both matrices under analysis greatly exceeds the sample size. These approaches impose penalties in the optimization problems that are needed to be solve iteratively, and estimate multiple canonical vectors sequentially. In this work, we provide an explicit link between sparse multiple regression with sparse canonical correlation analysis, and an efficient algorithm that can estimate multiple canonical pairs simultaneously rather than sequentially. Furthermore, the algorithm naturally allows parallel computing. These properties make the algorithm much efficient. We provide theoretical results on the consistency of canonical pairs. The algorithm and theoretical development are based on solving an eigenvectors problem, which significantly differentiate our method with existing methods. Simulation results support the improved performance of the proposed approach. We apply eigenvector-based CCA to analysis of the GTEx thyroid histology images, analysis of SNPs and RNA-seq gene expression data, and a microbiome study. The real data analysis also shows improved performance compared to traditional sparse CCA.

Disorder enhanced quantum many-body scars in Hilbert hypercubes

We consider a model arising in facilitated Rydberg chains with positional disorder which features a Hilbert space with the topology of a $d$-dimensional hypercube. This allows for a straightforward interpretation of the many-body dynamics in terms of a single particle one on the Hilbert space and provides an explicit link between the many-body and single particle scars. Exploiting this perspective, we show that an integrability-breaking disorder enhances the scars followed by inhibition of the dynamics due to strong localization of the eigenstates in the large disorder limit. Next, mapping the model to the spin-1/2 XX Heisenberg chain offers a simple geometrical perspective on the recently proposed Onsager scars [PRL ${\bf 124}$, 180604 (2020)], which can be identified with the scars on the edge of the Hilbert space. This makes apparent the origin of their insensitivity to certain types of disorder perturbations.