Objectives To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …

Background Preoperative prediction of soft tissue sarcoma (STS) grade is important for
treatment decisions. Therefore, formulation an STS grade model is strongly needed. Purpose To …

A new supplier price break and discount scheme taking into account order frequency and
lead time is introduced and incorporated into an integrated inventory planning model for a …

We study a supplier selection and order quantity allocation problem in a two-stage supply
chain, which is composed of a set of potential suppliers and a single buyer/retailer trading one …

We revisit the joint pricing, supplier selection, and inventory replenishment problem for a
single item in a two‐stage system examined by Adeinat and Ventura (2015) and use the logit …

Background Enterobacter hormaechei is commonly considered a causative pathogen for
nosocomial infections and it does not usually cause diseases in animals. However, …

‘Candidatus Mycoplasma haemobos’ is an emerging pathogen in the genus Mycoplasma.
The Rhipicephalus (Boophilus) microplus tick has been suspected to be the vector of ‘C. M. …

Accurate delineation of gliomas from the surrounding normal brain areas helps maximize
tumor resection and improves outcome. Blood-oxygen-level-dependent (BOLD) functional MRI …

Purpose The aim of this study is to compare the blood oxygen level–dependent (BOLD)
fluctuation power in 96 frequency points ranging from 0 to 0.25 Hz between benign and …

Bovine pestiviruses include Pestivirus A (BVDV-1), Pestivirus B (BVDV-2), and Pestivirus H,
which was originally called HoBi-like pestivirus. We conducted an epidemiological …