Publications by authors named "A I Kravets"

We analytically solve the Landau-Lifshitz equations for the collective magnetization dynamics in a synthetic antiferromagnet (SAF) nanoparticle and uncover a regime of barrier-free switching under a short small-amplitude magnetic field pulse applied perpendicular to the SAF plane. We give examples of specific implementations for forming such low-power and ultra-fast switching pulses. For fully optical, resonant, barrier-free SAF switching we estimate the power per write operation to be  pJ, 10-100 times smaller than for conventional quasi-static rotation, which should be attractive for memory applications.

View Article and Find Full Text PDF

The present study reports a single-center experience conducted at Józef Struś Multispecialty City Hospital in Poznań, Poland, in diagnosing and treating two patients with primary central nervous system lymphoma (PCNSL), one immunocompetent and one immunodeficient (AIDS). PCNSL is an extremely rare neoplasm with a poor prognosis and non-specific treatment on the basis of immunocompetency. Standard treatment consists of high-dose methotrexate (HD-MTX) being the background of a multimodal therapy, including other chemotherapeutic agents with and without radiation.

View Article and Find Full Text PDF

Acinar cell carcinoma (ACC) accounts for about 1% of pancreatic cancers. The molecular and clinical features of ACC are less characterized than those of pancreatic ductal adenocarcinoma. : We retrospectively evaluated the clinical and molecular features of ACC patients who underwent germline and/or somatic molecular testing at The University of Texas MD Anderson Cancer Center from 2008 to 2022 and two cases from 2023-2024 who underwent RNA and TME analysis by Boston Gene.

View Article and Find Full Text PDF

Background & Aims: The complex tumor microenvironment (TME) of pancreatic ductal adenocarcinoma (PDAC) has hindered the development of reliable predictive biomarkers for targeted therapy and immunomodulatory strategies. A comprehensive characterization of the TME is necessary to advance precision therapeutics in PDAC.

Methods: A transcriptomic profiling platform for TME classification based on functional gene signatures was applied to 14 publicly available PDAC datasets (n = 1657) and validated in a clinically annotated independent cohort of patients with PDAC (n = 79).

View Article and Find Full Text PDF