The future of research assessment
Presentation given at the Figshare South Africa User Group Conference 2025 by Nosisa Dube, Manager - Evaluation and Impact at National Research Foundation, on the future of research assessment.
openaire +1 more source
Viability assessment of preimplantation concepti: a challenge for human embryo research
Jan Tesařík
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A new assessment tool for neuropsychopharmacological research: The Computerized Neuropsychological Test Battery (CNTB) [PDF]
Amy E. Veroff+3 more
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Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez+5 more
wiley +1 more source
Assessment of research and development (R and D) needs in ammonia safety and environmental control
David L. Brenchley+2 more
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ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee+9 more
wiley +1 more source
Does bibliometric research confer legitimacy to research assessment practice? A sociological study of reputational control, 1972-2016. [PDF]
Jappe A, Pithan D, Heinze T.
europepmc +1 more source
Environmental assessment overview, Yucca Mountain site, Nevada Research and Development Area, Nevada
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This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source