Results 51 to 60 of about 22,068 (223)

Performance Optimization System for Hadoop and Spark Frameworks

Cybernetics and Information Technologies, 2020
The optimization of large-scale data sets depends on the technologies and methods used. The MapReduce model, implemented on Apache Hadoop or Spark, allows splitting large data sets into a set of blocks distributed on several machines.
Astsatryan Hrachya, Kocharyan Aram, Hagimont Daniel, Lalayan Arthur   +3 more
doaj   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Risk factors for carnitine deficiency in critically ill adults: A descriptive cross‐sectional study

Journal of Parenteral and Enteral Nutrition, EarlyView.
Abstract Background Critical illness is a risk factor for carnitine deficiency. Carnitine deficiency may result in serious medical complications and poor clinical outcomes. This study aimed to identify the prevalence and potential predictors of carnitine deficiency.
Jennifer Gordon, Rebecca Brody, Hamed Samavat, Mireille Hamdan, Alexander L. Colonna, Jason B. Young, Laura D. Byham‐Gray   +6 more
wiley   +1 more source

Smart Mobility with Big Data: Approaches, Applications, and Challenges

Applied Sciences, 2023
Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks.
Dohoon Lee, David Camacho, Jason J. Jung
doaj   +1 more source

Nutritional properties, traditional uses and potential new applications for the sotol plant (Asparagaceae, Convallarioideae): A review

PLANTS, PEOPLE, PLANET, EarlyView.
Sotol (Dasylirion spp.) is a resilient desert plant that sustains ecosystems, cultures and livelihoods in Chihuahua Desert. Our review highlights its nutritional properties, traditional uses and potential new applications in food, pharmaceuticals, renewable energy and water remediation. By synthesizing evidence across disciplines, we show how sotol can
Dámaris Leopoldina Ojeda Barrios, Antonio Martínez Ruiz, Marisela Calderón Jurado, Ramón Saúl Luján Aguirre, Juan Luis Jacobo Cuellar, Oscar Sariñana‐Aldaco, María Teresa Martínez Damián, Oscar Cruz Alvarez   +7 more
wiley   +1 more source

Current Flow Betweenness Centrality with Apache Spark [PDF]

, 2016
The identification of the most central nodes of a graph is a fundamental task of data analysis. The current flow betweenness is a centrality index which considers how the information flows along all the paths of a graph, not only on the shortest ones. Finding the exact value of the current flow betweenness is computationally expensive for large graphs,
Bertolucci, Massimiliano, Lulli, Alessandro, Ricci, Laura   +2 more
openaire   +3 more sources

A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis [PDF]

, 2022
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra   +7 more
openalex   +1 more source

“Many Buds Blooming”: Lived Experience and Insights From Native American Graduate Students

New Directions for Student Services, EarlyView.
ABSTRACT Native American graduate students have a unique experience in higher education from their peers and from Native undergraduate students. This article highlights the challenges and triumphs of 12 Native American graduate students, focusing on their unique cultural perspectives and systemic obstacles they encounter in graduate education.
Cori Bazemore‐James, Kelly Collins, Christy Anderson, Thomas J. Barbano, Kelly Berry, Mark Bolin, Charisse Bordeaux, Janelle Cronin, Christina Johnson, Kelley McCall, Deante’ Moore, Jaidyn Probst, Lindsey Willow Smith, Angela Teeple   +13 more
wiley   +1 more source

Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server

, 2015
In last decade, data analytics have rapidly progressed from traditional disk-based processing to modern in-memory processing. However, little effort has been devoted at enhancing performance at micro-architecture level.
Awan, Ahsan Javed, Ayguade, Eduard, Brorsson, Mats, Vlassov, Vladimir   +3 more
core   +1 more source

Software analysis of scientific texts: comparative study of distributed computing frameworks

Радіоелектронні і комп'ютерні системи
The relevance of this study is related to the need for efficient analysis of scientific texts in the context of the growing amount of information.
Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev   +3 more
doaj   +1 more source