Hasil untuk "Chemical engineering"

R. Mariscal, P. Maireles-Torres, M. Ojeda et al.

L. Chung, W. M. C. Sameera, Romain Ramozzi et al.

Wanhui Wang, Y. Himeda, J. Muckerman et al.

Changzhi Li, Xiaochen Zhao, Aiqin Wang et al.

S. H. Mood, Amir Hossein Golfeshan, M. Tabatabaei et al.

Jun Kang, S. Tongay, Jian Zhou et al.

Ashka Vakil, N. Engheta

V. Mochalin, O. Shenderova, D. Ho et al.

B. Ulery, L. Nair, C. Laurencin

N. Farsad, Huseyin Birkan Yilmaz, A. Eckford et al.

With much advancement in the field of nanotechnology, bioengineering, and synthetic biology over the past decade, microscales and nanoscales devices are becoming a reality. Yet the problem of engineering a reliable communication system between tiny devices is still an open problem. At the same time, despite the prevalence of radio communication, there are still areas where traditional electromagnetic waves find it difficult or expensive to reach. Points of interest in industry, cities, and medical applications often lie in embedded and entrenched areas, accessible only by ventricles at scales too small for conventional radio waves and microwaves, or they are located in such a way that directional high frequency systems are ineffective. Inspired by nature, one solution to these problems is molecular communication (MC), where chemical signals are used to transfer information. Although biologists have studied MC for decades, it has only been researched for roughly 10 year from a communication engineering lens. Significant number of papers have been published to date, but owing to the need for interdisciplinary work, much of the results are preliminary. In this survey, the recent advancements in the field of MC engineering are highlighted. First, the biological, chemical, and physical processes used by an MC system are discussed. This includes different components of the MC transmitter and receiver, as well as the propagation and transport mechanisms. Then, a comprehensive survey of some of the recent works on MC through a communication engineering lens is provided. The survey ends with a technology readiness analysis of MC and future research directions.

Eric J. Steen, Yisheng Kang, Gregory Bokinsky et al.

Zdenko Špitálský, D. Tasis, K. Papagelis et al.

Hongqun Yang, Zhenghe Xu, M. Fan et al.

M. Dalby, N. Gadegaard, Rahul S. Tare et al.

A. Neville

Douglas C. Runger

J. Keasling

S. Newman, K. Jensen

Flow chemistry and continuous processing can offer many ways to make synthesis a more sustainable practice. These technologies help bridge the large gap between academic and industrial settings by often providing a more reproducible, scalable, safe and efficient option for performing chemical reactions. In this review, we use selected examples to demonstrate how continuous methods of synthesis can be greener than batch synthesis on a small and a large scale.

Adriana GROZAV, Gabriel MARC, Cristina AZAROV et al.

  ABSTRACT. The microwave-assisted improved synthesis of ethyl 2-(2-((6-methyl-4-oxo-4H-chromen-3-yl)methylene)hydrazinyl)thiazole-4-carboxylate is described. The antioxidant potential of the target compound was evaluated using spectrophotometric methods, including the DPPH• and ABTS•⁺ radical scavenging assays, as well as three additional electron-transfer assays employing metal-based oxidizing agents. The title compound exhibited good antioxidant activity compared to reference antioxidants. For the title compound theoretical quantum chemical (DFT) calculations were performed.

Diego Firmenich, Leandro Antonelli, Bruno Pazos et al.

User stories are one of the most widely used artifacts in the software industry to define functional requirements. In parallel, the use of high-fidelity mockups facilitates end-user participation in defining their needs. In this work, we explore how combining these techniques with large language models (LLMs) enables agile and automated generation of user stories from mockups. To this end, we present a case study that analyzes the ability of LLMs to extract user stories from high-fidelity mockups, both with and without the inclusion of a glossary of the Language Extended Lexicon (LEL) in the prompts. Our results demonstrate that incorporating the LEL significantly enhances the accuracy and suitability of the generated user stories. This approach represents a step forward in the integration of AI into requirements engineering, with the potential to improve communication between users and developers.