Results 121 to 130 of about 7,521,088 (292)

Balancing the value and risk of exercise-based therapy post-COVID-19: a narrative review. [PDF]

Eur Respir Rev, 2023
Singh SJ, Daynes E, McAuley HJC, Raman B, Greening NJ, Chalder T, Elneima O, Evans RA, Bolton CE.   +8 more
europepmc   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Value at Risk

, 2018
Die vorliegende Arbeit befasst sich mit dem Thema Bayesscher Zugang zum Value at Risk. Mit diesem Maß sollen Risiken bezüglich verschiedener Investitionen vergleichbar werden und Vorhersagen für Verluste getroffen werden können. Der Aufbau dieser Niederschrift wurde chronologisch so gestaltet, dass die einzelnen Schritte logisch nachvollziehbar ...
openaire   +3 more sources

Determining investment risk in an exchange portfolio by using Value at Risk (VaR) method [PDF]

Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2007
In optimizing an investment portfolio, the aim is to determine optimal value of per security, where prepares the minimum risk and the maximum return. One of the methods to measure risk of portfolio is Value at Risk (VaR).
Jamshid Salehi Sadaghiani
doaj  

Implied value-at-risk and model-free simulation. [PDF]

Ann Oper Res, 2022
Bernard C, Perchiazzo A, Vanduffel S.
europepmc   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

The Predictive Value of Risk Factors and Prognostic Scores in Hospitalized COVID-19 Patients. [PDF]

Diagnostics (Basel), 2023
Brajkovic M, Vukcevic M, Nikolic S, Dukic M, Brankovic M, Sekulic A, Popadic V, Stjepanovic M, Radojevic A, Markovic-Denic L, Rajovic N, Milic N, Tanasilovic S, Todorovic Z, Zdravkovic M.   +14 more
europepmc   +1 more source

The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity

Molecular Oncology, EarlyView.
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli, Alessio Bevilacqua, Mathias Wenes, Denis Migliorini, Lars van der Veen, Sigrid S Skånland, Giusy Di Conza, Kjetil Taskén   +7 more
wiley   +1 more source

165 Development of science communication rubrics for trainees in clinical and translational science

Journal of Clinical and Translational Science
Objectives/Goals: Trainees in clinical and translational science (CTS) must learn to effectively communicate their research ideas and findings to a range of audiences. As part of our science communication curriculum, we developed ORAL and WRITTEN science
Angie Mae Rodday, Nicholas Frank, Robert Sege, Robert J Goldberg, Elizabeth Leary, David M Kent, Joshua T Cohen   +6 more
doaj   +1 more source

GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks. [PDF]

Comput Econ, 2023
Buczynski M, Chlebus M.
europepmc   +1 more source