Results 71 to 80 of about 1,238,639 (328)

TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs

open access: yes, 2017
Given a large graph, how can we determine similarity between nodes in a fast and accurate way? Random walk with restart (RWR) is a popular measure for this purpose and has been exploited in numerous data mining applications including ranking, anomaly ...
Jung, Jinhong, Kang, U, Yoon, Minji
core   +1 more source

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN PERILAKU WANITA USIA SUBUR DALAM MELAKUKAN DETEKSI DINI KANKER PAYUDARA METODE SADARI DI WILAYAH KERJA PUSKESMAS NUSUKAN SURAKARTA [PDF]

open access: yes, 2015
The death rate from breast cancer is increasing every year.Early action is early detection of breast cancer needs to be done by breast self-examination (BSE).The purpose of this study was to determine the relationship between knowledge, attitudes, family
, Anisa Catur Wijayanti, SKM., M.Epid   +2 more
core  

Open shortest path first routing under random early detection [PDF]

open access: yesNetworks, 2017
In this article, we consider a variant of Open Shortest Path First (OSPF) routing that accounts for Random Early Detection (RED), an Active Queue Management method for backbone networks. In the version of OSPF we consider in this article we only require a single network path be available between each origin and destination, a simplification of the OSPF
Jiaxin Liu, Stanko Dimitrov
openaire   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Autism Spectrum Disorder Classification in Children Using Eye-Tracking Data and Machine Learning

open access: yesEngineering Proceedings
Early Autism Spectrum Disorder (ASD) detection is important for early intervention. This study investigates the potential of eye-tracking (ET) data combined with machine learning (ML) models to classify ASD and Typically Developed (TD) children.
Nikolaos Kaloforidis   +4 more
doaj   +1 more source

Faktor-Faktor yang Berhubungan dengan Perilaku Guru UKS dalam Upaya Deteksi Dini Penderita Kusta pada Anak Sekolah Dasar di Kabupaten Blora [PDF]

open access: yes, 2006
Background : The prevalence of Leprosy in the world (1998) : Indonesia was placed in the big three after India and Brazil. In 2002, there were still 12 provinces and 111 regencies which the prevalence of Leprosy was over of 1/10.000 people.
Istiarti, T. (Tinuk)   +2 more
core  

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

open access: yesMolecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern   +7 more
wiley   +1 more source

Predicting Successful Memes using Network and Community Structure

open access: yes, 2014
We investigate the predictability of successful memes using their early spreading patterns in the underlying social networks. We propose and analyze a comprehensive set of features and develop an accurate model to predict future popularity of a meme ...
Ahn, Yong-Yeol   +2 more
core   +2 more sources

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser   +14 more
wiley   +1 more source

Early Cardiovascular Disease Detection Using Predictive Machine-Learning Models: Evaluation and Insights [PDF]

open access: yesJES: Journal of Engineering Sciences
Cardiovascular illnesses are a significant cause of death worldwide, emphasizing the vital need for early detection to improve treatment and reduce healthcare expenses.
Nourhan Zayed, Nahed Tawfik
doaj   +1 more source

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