Results 141 to 150 of about 567,714 (357)

"Keep a low profile": pesticide residue, additives, and freon use in Australian tobacco manufacturing [PDF]

, 2003
Simon Chapman
openalex   +1 more source

TRPM4 contributes to cell death in prostate cancer tumor spheroids, and to extravasation and metastasis in a zebrafish xenograft model system

Molecular Oncology, EarlyView.
Transient receptor potential melastatin‐4 (TRPM4) is overexpressed in prostate cancer (PCa). Knockout of TRPM4 resulted in reduced PCa tumor spheroid size and decreased PCa tumor spheroid outgrowth. In addition, lack of TRPM4 increased cell death in PCa tumor spheroids.
Florian Bochen, Saurav Subedi, Federico La Manna, Sofia Jarrin, Irida Papapostolou, Marianna Kruithof‐de Julio, Christine Peinelt   +6 more
wiley   +1 more source

A Cost-Benefit Analysis of Additive Manufacturing as a Service [PDF]

arXiv
The global manufacturing landscape is undergoing a fundamental shift from resource-intensive mass production to sustainable, localised manufacturing. This paper presents a comprehensive analysis of a Cloud Crafting Platform that enables Manufacturing as a Service (MaaS) through additive manufacturing technologies.
arxiv  

Cystatin A promotes the antitumor activity of T helper type 1 cells and dendritic cells in murine models of pancreatic cancer

Molecular Oncology, EarlyView.
Pancreatic ductal adenocarcinoma (PDAC) is a disease with very poor prognosis due to therapeutic limitations. We investigated the antitumor effects of cystatin A (CSTA) in PDAC murine models. We are first to confirm that CSTA enhances T helper type 1‐mediated antitumor effects through promotion of dendritic cells and M1 macrophage activity. CSTA can be
Alessandro Nasti, Shingo Inagaki, Tuyen Thuy Bich Ho, Akihiro Seki, Keiko Yoshida, Kosuke Satomura, Yoshio Sakai, Shuichi Kaneko, Taro Yamashita   +8 more
wiley   +1 more source

Regimes of droplet train impact on a moving surface in an additive manufacturing process [PDF]

, 2009
Saeed Fathi, Phill Dickens, Farid Fouchal   +2 more
openalex   +1 more source

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

Molecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia, Anouk C. de Jong, Lisanne F. van Dessel, Vanja de Weerd, Corine Beaufort, Jean Helmijr, José Alberto Nakauma‐González, Job van Riet, Paul Hamberg, Daniel Vis, Michiel S. van der Heijden, Nick Beije, Martijn P. Lolkema, Teoman Deger, Saskia M. Wilting, Ronald de Wit, Maurice P. H. M. Jansen, John W. M. Martens   +17 more
wiley   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

Molecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin, Audrey Vinchent, Marie Fernandes, Isabelle Damour, Agathe Laratte, Rémi Tellier, Gabriella O. Estevam, Jean‐Pascal Meneboo, Céline Villenet, Clotilde Descarpentries, James S. Fraser, Martin Figeac, Alexis B. Cortot, Etienne Rouleau, David Tulasne   +14 more
wiley   +1 more source

Investigation of Metal Powder Blending for PBF-LB/M Using Particle Tracing with Ti-6Al-4V

Journal of Manufacturing and Materials Processing
Laser-based powder bed fusion of metals (PBF-LB/M) is the most used additive manufacturing (AM) technology for metal parts. Nevertheless, challenges persist in effectively managing metal powder, particularly in blending methodologies in the choice of ...
Ina Ludwig, Anatol Gerassimenko, Philipp Imgrund   +2 more
doaj   +1 more source

Physics-Informed Machine Learning for Smart Additive Manufacturing [PDF]

arXiv
Compared to physics-based computational manufacturing, data-driven models such as machine learning (ML) are alternative approaches to achieve smart manufacturing. However, the data-driven ML's "black box" nature has presented a challenge to interpreting its outcomes.
arxiv  

Laser Additive Manufacturing [PDF]

, 2010
Andrés Gasser, Gerhard Backes, Ingomar Kelbassa, Andreas Weisheit, Konrad Wissenbach   +4 more
openalex   +1 more source