Results 101 to 110 of about 3,542,863 (298)

Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure [PDF]

, 2015
Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies.
Zhuge, Hai
core  

Mining "big data" using big data services

International Journal of Internet Science, 2014
While many colleagues within science are fed up with the “big data fad”, empirical analyses we conducted for the current editorial actually show an inconsistent picture: we use big data services to determine whether there really is an increase in writing about big data or even widespread use of the term.
Reips, Ulf-Dietrich, Matzat, Uwe
openaire   +2 more sources

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

Scientific Data
Existing activity tracker datasets for human activity recognition are typically obtained by having participants perform predefined activities in an enclosed environment under supervision. This results in small datasets with a limited number of activities
Shing Chan, Yuan Hang, Catherine Tong, Aidan Acquah, Abram Schonfeldt, Jonathan Gershuny, Aiden Doherty   +6 more
doaj   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source

Sequential Bayesian updating for Big Data [PDF]

, 2016
The velocity, volume, and variety of big data present both challenges and opportunities for cognitive science. We introduce sequential Bayesian updat-ing as a tool to mine these three core properties.
Huentelman, Matt, Oravecz, Zita, Vandekerckhove, Joachim   +2 more
core   +2 more sources

Fetal Brain Tumor Harboring a Unique ROCK1::BRAF Fusion

Pediatric Blood &Cancer, EarlyView.
Marllon Cindra Sant'Ana, Mariana Maschietto, Daniela Paz Leal, Ricardo de Santos de Oliveira, Mayara Ferreira Euzébio, Antonio Carlos dos Santos, Luciano Neder, Carlos Alberto Scrideli, Elvis Terci Valera   +8 more
wiley   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Untargeted poisoning attack based on fake clients and its defense in federated learning

Cybersecurity
Untargeted poisoning attacks pose a serious threat to federated learning. However, existing untargeted poisoning attacks have limitations. Most attacks assume that the adversary can control a large number of real clients, which is difficult to achieve in
Caimei Wang, Kangjian Xu, An He, Zhipeng Sun, Jianzhong Pan, Yudong Ren   +5 more
doaj   +1 more source

Research on Precise Segmentation and Center Localization of Weeds in Tea Gardens Based on an Improved U-Net Model and Skeleton Refinement Algorithm

Agriculture
The primary objective of this research was to develop an efficient method for accurately identifying and localizing weeds in ecological tea garden environments, aiming to enhance the quality and yield of tea production.
Zhiyong Cao, Shuai Zhang, Chen Li, Wei Feng, Baijuan Wang, Hao Wang, Ling Luo, Hongbo Zhao   +7 more
doaj   +1 more source