1,720,978 research outputs found
Loc. Santa Palomba (Roma), la villa cd. di Fontanile di Palazzo
Storia e architettura della residenza nota come villa cd. di Fontanile di Palazzo, in località Santa Palomba, nel territorio dell'antica Arici
Classification of Geometric Effects Based on the 40 Inventive Principles
Despite the significant potential of elasticity in mechanical design, a unified methodological framework for selecting and implementing compliant mechanisms and other elastic structures remains elusive for practitioners. This work addresses this gap by compiling a comprehensive library of structures and mechanisms, integrating compliant mechanisms, origami-inspired designs, met-amaterial-based solutions, and advancements in 4D and multi-material printing. This collection offers a broad perspective on the diverse possibilities of elastic elements. Recognizing the need for a systematic approach, we propose a method for navigating this database, grounded in the application of 40 TRIZ inventive principles. This framework aims to assist designers in both understanding the ef-ficacy of elastic mechanical parts and identifying suitable concepts for functional modification. Future work will explore the integration of Large Language Models (LLMs) for enhanced database querying and exploration
Combining Design for Compliant and Multi-material AM for Conceiving More Sustainable Products
Compliant mechanisms are systems that, using a single body, are able to perform functions typical of a traditional assembly with hinges, bars, and connecting parts. Since many structures in nature are designed in a logic of compliant mechanisms, it is reasonable to assume the enormous advantages, also in terms of sustainability, of this way of designing in engineering. To date, one of the main barriers to their diffusion is the lack of tools that can suggest the right topologies to the designer (pointers to geometrical effects), but also easy tools for their appropriate dimensioning and simulation. In contrast, additive manufacturing, thanks to its high compatibility with complex shapes and the recent ability to print multi-material parts, is bringing them back into the spotlight. The aim of this paper is to show the potential of DfC—Design for Compliant for the conception of more sustainable products, by presenting an exemplary case in which a comparison was made between the environmental impact of a traditional multi-part door lock made using standard manufacturing processes and a compliant system capable of replacing the former. To achieve even better results, the DfC-inspired concept was printed by multi-material additive manufacturing, using a combination of two different polymeric materials with very different Young’s modulus to simulate different local behavior, both rigid and elastic. This substitution resulted in a reduction of CO2 equivalent impact around 50%
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
AI Based Search Engine to Deploy a TRIZ Pointer to Chemical Effects
Pointers to effects are a group of TRIZ tools which helps the inventor to master a greater knowledge of scientific phenomena and laws, so to suggest him or her different directions to reach possibilities of solution. Pointers to geometric, chemical, and technological effects have been theorized, but only those to physical effects have ever had concrete developments at the research level and as commercial applications.
The aim of this work is twofold: on the one hand, to bring the pointer back to chemical effects (CE), recovering little-known texts that are difficult to find but also difficult to interpret, as they have never been translated from Russian. The other aim is to contextualize these tools in the light of the recent achievements of artificial intelligence technologies in the field of information retrieval. A combination of AI tools, as NER (Named Entity Recognition), RAG (Retrieval Augmented Generation) and LLM (Large Language Model) have been combined in order to identify chemical features from several chemical sources, to index documents in order to answer user’s questions, to interact with this Knowledge-Base by a chatbot and finally to generate a complete and standardized output.
A comparison is presented between recent commercial applications of AI and traditional pointers to CE from TRIZ literature. In this paper it is explained how the system works, which are the potentialities according to the AI technologies evolution and a comparative study between a SW infrastructure developed by the authors in collaboration with university spin-off software house and others current AI commercial players like GPT or Gemini based applications
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