Hasil untuk "American literature"

John D’Emilio

Nicholas Baron, Andrew Philippides, N. Rojas

This review focuses on the design process of additively manufactured Meso-Scale Lattice Structures (MSLSs). They are arrays of 3D printed trussed unit cells, whose dimensions span from 0.1 to 10.0 mm. This study intends to detail the phases of the MSLSs design process (with a particular focus on MSLSs whose unit cells are made up of a network of struts and nodes), proposing an integrated and holistic view of it, which is currently lacking in the literature. It aims at guiding designers’ decisions with respect to the settled functional requirements and the manufacturing constraints. It also aims to provide an overview for software developers and researchers concerning the design approaches and strategies currently available. A further objective of this review is to stimulate researchers in exploring new MSLSs functionalities, consciously considering the impact of each design phase on the whole process, and on the manufactured product. Nomenclature b Number of struts of the unit cell, Section 3.1 D Strut diameter, Section 3.1 Dmax Strut maximum diameter, Section 3.2 Dmin Strut minimum diameter, Section 3.2 Df Strut diameter variation, Section 3.2 E Young’s modulus G Shear modulus H Unit cell height, Section 3.1 I Area moment of inertia, Section 3.1 j Number of joints/nodes of the unit cell, Section 3.1 L Strut length, Section 3.1 Lmax Strut maximum length, Section 3.2 Lmin Strut minimum length, Section 3.2 M Maxwell’s criterion, Section 3.1 m Number of independent inextensional mechanisms, Section 3.1 ⇤Address all correspondence related to ASME style format and figures to this author. JCISE-18-1004, Graziosi, Page 1 MSLS Meso-Scale Lattice Structure, Section 1 Rh Horizontal deflection ratio, Section 3.2 Rs Sloped deflection ratio, Section 3.2 s Number of independent self-stress states, Section 3.1 t Strut thickness, Section 3.1 tmax Strut maximum thickness, Section 3.2 tmin Strut minimum thickness, Section 3.2 ta Strut thickness along the a direction, Section 3.2 tb Strut thickness along the b direction, Section 3.2 W Unit cell width, Section 3.1 q Strut sloping angle, Section 3.2

R. Sampliner

G. Wells, M. Small, Steven D Penrod et al.

C. Norris, J. Culler

Fabien Desset

This paper studies the musical adaptation of Samuel Taylor Coleridge’s “The Rime of the Ancient Mariner” (1798) by New Wave of British Heavy Metal figureheads, Iron Maiden, on their Powerslave album (1984). After discussing the relevance of Romanticism to heavy metal and of the ballad for the band, the study focuses on the transtextual (Gérard Genette, Palimpsestes, 1982) modernisation, reduction, and narrative transmodalisation of Coleridge’s poem and glosses from the Sibylline Leaves 1817 edition. Among the thematic transpositions, the question of whether the Christian dimension and moral of the tale are expurgated is addressed, while special emphasis is laid on the two sets of quotations and on the transaesthetic musical adaptation in the middle of the song.

Sebastián Astudillo-Cordero, Julia Rey-Pérez, Jessica Ortiz-Fernández et al.

This study presents the first systematic regional assessment of how the Historic Urban Landscape (HUL) approach has been understood and applied in Latin American and Caribbean (LAC) cities between 2011 and 2022. The HUL approach is framed as a socio-spatial perspective shaped by historical layering, cultural practices, ecological structures, and contemporary development pressures. A systematic review of academic publications and institutional gray literature (Scopus, Google Scholar, and municipal repositories) was conducted to evaluate both conceptual understanding and methodological implementation aligned with the six steps of the 2011 HUL Recommendation. Findings reveal a clear implementation gap: although awareness of the HUL approach has increased across the region, its practical application remains partial. Steps 1 and 2 focused on value identification and participatory engagement show the highest adoption, while steps 4 and 6 which require interinstitutional coordination and integration into statutory planning instruments exhibit limited progress. Academic and research institutions play a more prominent role than local governments in leading or supporting HUL-related actions, indicating persistent institutional and governance constraints. Results highlight the need to strengthen municipal capacities, integrate HUL-based diagnostics into urban planning systems, and consolidate participatory, interdisciplinary, and multilevel governance mechanisms to close the gap between conceptual uptake and operational implementation.

Douglas A. Simonetto, A. Singal, G. Garcia‐Tsao et al.

Disorders of the mesenteric, portal, and hepatic veins and mesenteric and hepatic arteries have important clinical consequences and may lead to acute liver failure, chronic liver disease, noncirrhotic portal hypertension, cirrhosis, and hepatocellular carcinoma. Although literature in the field of vascular liver disorders is scant, these disorders are common in clinical practice, and general practitioners, gastroenterologists, and hepatologists may benefit from expert guidance and recommendations for management of these conditions. These guidelines represent the official practice recommendations of the American College of Gastroenterology. Key concept statements based on author expert opinion and review of literature and specific recommendations based on PICO/GRADE analysis have been developed to aid in the management of vascular liver disorders. These recommendations and guidelines should be tailored to individual patients and circumstances in routine clinical practice.

Haoyang Yang, Elliott H. Faa, Weijian Liu et al.

Exploring and comprehending relevant academic literature is a vital yet challenging task for researchers, especially given the rapid expansion in research publications. This task fundamentally involves sensemaking - interpreting complex, scattered information sources to build understanding. While emerging immersive analytics tools have shown cognitive benefits like enhanced spatial memory and reduced mental load, they predominantly focus on information synthesis (e.g., organizing known documents). In contrast, the equally important information foraging phase - discovering and gathering relevant literature - remains underexplored within immersive environments, hindering a complete sensemaking workflow. To bridge this gap, we introduce LitForager, an interactive literature exploration tool designed to facilitate information foraging of research literature within an immersive sensemaking workflow using network-based visualizations and multimodal interactions. Developed with WebXR and informed by a formative study with researchers, LitForager supports exploration guidance, spatial organization, and seamless transition through a 3D literature network. An observational user study with 15 researchers demonstrated LitForager's effectiveness in supporting fluid foraging strategies and spatial sensemaking through its multimodal interface.

Oumaima Barhoumi, Ghazal Farhani, Taufiq Rahman et al.

Platooning has emerged as a promising strategy for improving fuel efficiency in automated vehicle systems, with significant implications for reducing emissions and operational costs. While existing literature on vehicle platooning primarily focuses on individual aspects such as aerodynamic drag reduction or specific control strategies, this work takes a more comprehensive approach by bringing together a wide range of factors and components that contribute to fuel savings in platoons. In this literature review, we examine the impact of platooning on fuel consumption, highlighting the key components of platoon systems, the factors and actors influencing fuel savings, methods for estimating fuel use, and the effect of platoon instability on efficiency. Furthermore, we study the role of reduced aerodynamic drag, vehicle coordination, and the challenges posed by instability in real-world conditions. By compiling insights from recent studies, this work provides a comprehensive overview of the latest advancements in platooning technologies and highlights both the challenges and opportunities for future research to maximize fuel savings in real-world scenarios.

M. Bastawrous

Jeffrey S. Friedman

J. Dickinson, S. Guzman, M. Maryniuk et al.

Hao Zhou, Duy-Minh Dang

This paper addresses an important gap in rigorous numerical treatments for pricing American options under correlated two-asset jump-diffusion models using the viscosity solution framework, with a particular focus on the Merton model. The pricing of these options is governed by complex two-dimensional (2-D) variational inequalities that incorporate cross-derivative terms and nonlocal integro-differential terms due to the presence of jumps. Existing numerical methods, primarily based on finite differences, often struggle with preserving monotonicity in the approximation of cross-derivatives, a key requirement for ensuring convergence to the viscosity solution. In addition, these methods face challenges in accurately discretizing 2-D jump integrals. We introduce a novel approach to effectively tackle the aforementioned variational inequalities while seamlessly handling cross-derivative terms and nonlocal integro-differential terms through an efficient and straightforward-to-implement monotone integration scheme. Within each timestep, our approach explicitly enforces the inequality constraint, resulting in a 2-D Partial Integro-Differential Equation (PIDE) to solve. Its solution is expressed as a 2-D convolution integral involving the Green's function of the PIDE. We derive an infinite series representation of this Green's function, where each term is non-negative and computable. This facilitates the numerical approximation of the PIDE solution through a monotone integration method. To enhance efficiency, we develop an implementation of this monotone scheme via FFTs, exploiting the Toeplitz matrix structure. The proposed method is proved to be both $\ell_{\infty} $-stable and consistent in the viscosity sense, ensuring its convergence to the viscosity solution of the variational inequality. Extensive numerical results validate the effectiveness and robustness of our approach.

Orhan Erdem, Kristi Hassett, Feyzullah Egriboyun

We evaluate the reliability of two chatbots, ChatGPT (4o and o1-preview versions), and Gemini Advanced, in providing references on financial literature and employing novel methodologies. Alongside the conventional binary approach commonly used in the literature, we developed a nonbinary approach and a recency measure to assess how hallucination rates vary with how recent a topic is. After analyzing 150 citations, ChatGPT-4o had a hallucination rate of 20.0% (95% CI, 13.6%-26.4%), while the o1-preview had a hallucination rate of 21.3% (95% CI, 14.8%-27.9%). In contrast, Gemini Advanced exhibited higher hallucination rates: 76.7% (95% CI, 69.9%-83.4%). While hallucination rates increased for more recent topics, this trend was not statistically significant for Gemini Advanced. These findings emphasize the importance of verifying chatbot-provided references, particularly in rapidly evolving fields.

Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill et al.

The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We present Pathfinder, a machine learning framework designed to enable literature review and knowledge discovery in astronomy, focusing on semantic searching with natural language instead of syntactic searches with keywords. Utilizing state-of-the-art large language models (LLMs) and a corpus of 350,000 peer-reviewed papers from the Astrophysics Data System (ADS), Pathfinder offers an innovative approach to scientific inquiry and literature exploration. Our framework couples advanced retrieval techniques with LLM-based synthesis to search astronomical literature by semantic context as a complement to currently existing methods that use keywords or citation graphs. It addresses complexities of jargon, named entities, and temporal aspects through time-based and citation-based weighting schemes. We demonstrate the tool's versatility through case studies, showcasing its application in various research scenarios. The system's performance is evaluated using custom benchmarks, including single-paper and multi-paper tasks. Beyond literature review, Pathfinder offers unique capabilities for reformatting answers in ways that are accessible to various audiences (e.g. in a different language or as simplified text), visualizing research landscapes, and tracking the impact of observatories and methodologies. This tool represents a significant advancement in applying AI to astronomical research, aiding researchers at all career stages in navigating modern astronomy literature.

Saeed Safikhani, Lennart Nacke, Johanna Pirker

Previous research demonstrates that the interruption of immersive experiences may lead to a bias in the results of questionnaires. Thus, the traditional way of presenting questionnaires, paper-based or web-based, may not be compatible with evaluating VR experiences. Recent research has shown the positive impact of embedding questionnaires contextually into the virtual environment. However, a comprehensive overview of the available VR questionnaire solutions is currently missing. Furthermore, no clear taxonomy exists for these different solutions in the literature. To address this, we present a literature review of VR questionnaire user interfaces (UI) following PRISMA guidelines. Our search returned 1.109 initial results, which were screened for eligibility, resulting in a corpus of 25 papers. This paper contributes to HCI and games research with a literature review of embedded questionnaires in VR, discussing the advantages and disadvantages and introducing a taxonomy of in-VR questionnaire UIs.

Mine Dogucu, Sinem Demirci, Harry Bendekgey et al.

The presence of data science has been profound in the scientific community in almost every discipline. An important part of the data science education expansion has been at the undergraduate level. We conducted a systematic literature review to (1) portray current evidence and knowledge gaps in self-proclaimed undergraduate data science education research and (2) inform policymakers and the data science education community about what educators may encounter when searching for literature using the general keyword 'data science education.' While open-access publications that target a broader audience of data science educators and include multiple examples of data science programs and courses are a strength, significant knowledge gaps remain. The undergraduate data science literature that we identified often lacks empirical data, research questions and reproducibility. Certain disciplines are less visible. We recommend that we should (1) cherish data science as an interdisciplinary field; (2) adopt a consistent set of keywords/terminology to ensure data science education literature is easily identifiable; (3) prioritize investments in empirical studies.

José de la Torre-López, Aurora Ramírez, José Raúl Romero

Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans. AI provides methods to represent and infer knowledge, efficiently manipulate texts and learn from vast amount of data. These characteristics are applicable in many activities that human find laborious or repetitive, as is the case of the analysis of scientific literature. Manually preparing and writing a systematic literature review (SLR) takes considerable time and effort, since it requires planning a strategy, conducting the literature search and analysis, and reporting the findings. Depending on the area under study, the number of papers retrieved can be of hundreds or thousands, meaning that filtering those relevant ones and extracting the key information becomes a costly and error-prone process. However, some of the involved tasks are repetitive and, therefore, subject to automation by means of AI. In this paper, we present a survey of AI techniques proposed in the last 15 years to help researchers conduct systematic analyses of scientific literature. We describe the tasks currently supported, the types of algorithms applied, and available tools proposed in 34 primary studies. This survey also provides a historical perspective of the evolution of the field and the role that humans can play in an increasingly automated SLR process.

T. McMullan

Abstract:The Summer 2025 Issue. Ploughshares is an award-winning journal of new writing. Since 1971, Ploughshares has discovered and cultivated the freshest voices in contemporary American literature, and now provides readers with thoughtful and entertaining literature in a variety of formats. Find out why the New York Times named Ploughshares “the Triton among minnows.”