Results 51 to 60 of about 4,379,473 (311)
Application of FHCal for Heavy-Ion Collision Centrality Determination in MPD/NICA Experiment
Two approaches related to the centrality determination in heavy-ion Multi-Purpose Detector (MPD) experiments, using charge-particles multiplicity in Time Projection Chamber (TPC) and the energy deposition in Forward Hadron Calorimeter (FHCal) are ...
Vadim Volkov +7 more
doaj +1 more source
Centrality Measures for Graphons: Accounting for Uncertainty in Networks [PDF]
As relational datasets modeled as graphs keep increasing in size and their data-acquisition is permeated by uncertainty, graph-based analysis techniques can become computationally and conceptually challenging. In particular, node centrality measures rely
Marco Avella-Medina +3 more
semanticscholar +1 more source
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Domestic and international risk shocks have greatly increased the demand for systemic risk management in China. This paper estimates China’s multi-layer financial network based on multiple financial relationships among banks, assets, and firms, using ...
Qianqian Gao, Hong Fan, Chengyang Yu
doaj +1 more source
Les petites villes : pôles commerciaux en déclin ou centralités d’avenir ?
Facing a double commercial modernization process and geographical reorganization (metropolization and functional mutations), small towns are experiencing significant disruptions with their retail activities. Taking the example of east-central France, the
Milhan Chaze
doaj +1 more source
A Novel Opportunistic Network Routing Method on Campus Based on the Improved Markov Model
Opportunities networks’ message transmission is significantly impacted by routing prediction, which has been a focus of opportunity network research.
Yumei Cao +5 more
doaj +1 more source
Centrality measures in networks [PDF]
We show that prominent centrality measures in network analysis are all based on additively separable and linear treatments of statistics that capture a node’s position in the network.
Francis Bloch +2 more
semanticscholar +1 more source
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Centrality in Complex Networks with Overlapping Community Structure
Identifying influential spreaders in networks is an essential issue in order to prevent epidemic spreading, or to accelerate information diffusion. Several centrality measures take advantage of various network topological properties to quantify the ...
Zakariya Ghalmane +3 more
semanticscholar +1 more source
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson +20 more
wiley +1 more source

