Results 91 to 100 of about 1,874,765 (275)
Single- and Multi-level Network Sparsification by Algebraic Distance
, 2016 Network sparsification methods play an important role in modern network analysis when fast estimation of computationally expensive properties (such as the diameter, centrality indices, and paths) is required. We propose a method of network sparsification
John, Emmanuel, Safro, Ilya
core +1 more source
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
Molecular Oncology, EarlyView.CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source
IEEE AccessWith the rapid development of software-defined networking (SDN), SDN-Based multi-level flow table architectures are always employed to address issues such as QoS, security policies, and matching efficiency.
Yu Zhou, Yang Zhang
doaj +1 more source
Geomatics, Natural Hazards & Risk, 2019 Research on the emergency facility location-allocation problem has important theoretical and practical significance for responses to large-scale emergencies.
Yunjia Ma +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
LFMNet: a lightweight model for identifying leaf diseases of maize with high similarity
Frontiers in Plant ScienceMaize leaf diseases significantly impact yield and quality. However, recognizing these diseases from images taken in natural environments is challenging due to complex backgrounds and high similarity of disease spots between classes.This study proposes a
Jian Hu +6 more
doaj +1 more source
Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images
EntropyThe deep learning-based analysis of liver CT images is expected to provide assistance for clinicians in the diagnostic decision-making process. However, the accuracy of existing methods still falls short of clinical requirements and needs to be further ...
Yuchai Wan, Lili Zhang, Murong Wang
doaj +1 more source
Online Algorithms for Multi-Level Aggregation
, 2016 In the Multi-Level Aggregation Problem (MLAP), requests arrive at the nodes of an edge-weighted tree T, and have to be served eventually. A service is defined as a subtree X of T that contains its root. This subtree X serves all requests that are pending
Bienkowski, Marcin +9 more
core +1 more source