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Introduction: Pulmonary high-grade neuroendocrine carcinoma (NEC) includes small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). The seventh and eighth editions of the TNM classification for lung cancer confirmed the applicability of this staging system for SCLC. With the proposal of N2 and M1c subcategories for the ninth edition classification, we assessed the applicability to NECs.

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Low-Waste Technology for High-Precision Connecting Rod Forging Manufacturing.

Materials (Basel)

January 2025

Department of Metal Forming, Welding and Metrology, Wroclaw University of Science and Technology, Lukasiewicza Street 5, 50-370 Wroclaw, Poland.

This study refers to the application of an advanced tool in the form of numerical modelling in order to develop a low-waste hot die forging technology to produce a connecting rod forging. The technology aims at ensuring a limited amount of the charge material is necessary to produce one forging, as well as minimizing forging forces, and thus the electric energy consumption. The study includes a verification of the current production technology, which constituted the basis for the construction and development of a numerical model.

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A growing need to reduce the environmental impact and cost of manufacturing stainless steels has led to the development of ferritic stainless steel as an alternative to austenitic and duplex steels. The development of new stainless steels involves the optimization of their hot rolling processes, with the aim of minimizing the occurrence of defects and improving productivity. In this context, numerical simulation using the finite element method (FEM) is presented as a key tool to reduce the time and cost associated with traditional trial-and-error optimization methods.

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Ever since the first large language models (LLMs) have become available, both academics and practitioners have used them to aid software engineering tasks. However, little research as yet has been done in combining search-based software engineering (SBSE) and LLMs. In this paper, we evaluate the use of LLMs as mutation operators for genetic improvement (GI), an SBSE approach, to improve the GI search process.

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Malaria is caused by protozoan parasites of the genus Plasmodium and remains a global health concern. The parasite has a highly adaptable life cycle comprising successive rounds of asexual replication in a vertebrate host and sexual maturation in the mosquito vector Anopheles. Genetic manipulation of the parasite has been instrumental for deciphering the function of Plasmodium genes.

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