Results 101 to 110 of about 168,400,762 (297)

The ubiquitin system in normal and infected germinal center B cells

FEBS Letters, EarlyView.
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis, Lesly Mejia, Emily K Moser   +2 more
wiley   +1 more source

sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R [PDF]

The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several options for performing kernel density estimation in statistical software packages, there have ...
Tilman M. Davies, Jonathan. C Marshall, Martin L. Hazelton   +2 more
core  

Estimation of dose-volume parameters of female urethra as organ-at-risk during interstitial brachytherapy in gynecological malignancies

Journal of Contemporary Brachytherapy, 2021
Nikhila Radhakrishna, Siddanna Rudrappa Palled, Tanvir Pasha, Rekha Reddy Buchapudi, Govardhan H.B., Naveen Thimmaiah, Lokesh Viswanath   +6 more
doaj   +1 more source

Application of machine learning models for risk estimation and risk prediction of classical swine fever in Assam, India. [PDF]

Virusdisease, 2023
Suresh KP, Barman NN, Bari T, Jagadish D, Sushma B, Darshan HV, Patil SS, Bora M, Deka A.   +8 more
europepmc   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Estimation of Risk-Neutral Density Surfaces [PDF]

Option price data is often used to infer risk-neutral densities for future prices of an underlying asset. Given the prices of a set of options on the same underlying asset with different strikes and maturities, we propose a nonparametric approach for ...
L. N. Vicente, A. M. Monteiro, R. H. Tütüncü   +2 more
core  

Risk Estimation of Deep Venous Thrombosis in Polytrauma Patients with Traumatic Brain Injury: A Nomogram Approach

Risk Management and Healthcare Policy
Cong Zhang, Teding Chang, Deng Chen, Jialiu Luo, Shunyao Chen, Peidong Zhang, Zhiqiang Lin, Hui Li Department of Trauma Surgery, Emergency Surgery & Surgical Critical, Tongji Trauma Center, Tongji Hospital, Tongji Medical College, Huazhong University of ...
Zhang C, Chang T, Chen D, Luo J, Chen S, Zhang P, Lin Z, Li H   +7 more
doaj  

SEISMIC RISK CARTOGRAPHIC VISUALIZATION FOR CRISIS MANAGEMENT

Geography, Environment, Sustainability, 2014
Earthquake loss estimations before future events and following strong earthquakesin emergency mode and their corresponding visualization are extremely important for properdecision on preventive measures and effective response in order to save lives and ...
Nina I. Frolova, Valery I. Larionov, Jean Bonnin, Aleksander N. Ugarov   +3 more
doaj   +1 more source

Augmented renal clearance in the ICU: estimation, incidence, risk factors and consequences-a retrospective observational study. [PDF]

Ann Intensive Care, 2022
Egea A, Dupuis C, de Montmollin E, Wicky PH, Patrier J, Jaquet P, Lefèvre L, Sinnah F, Marzouk M, Sonneville R, Bouadma L, Souweine B, Timsit JF.   +12 more
europepmc   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source