Results 71 to 80 of about 25,203,054 (312)

Kernel difference maximisation-based sparse representation for more accurate face recognition

The Journal of Engineering, 2020
Most methods for sparse representation are designed to be used in the original space. However, their performance is not always satisfactory especially when training samples are limited.
Lian Wu, Wenbo Xu, Jianchuan Zhao, Zhongwei Cui, Yong Zhao   +4 more
doaj   +1 more source

Molecular Methods for Rare Hemoglobinopathy Cases: First Brazilian Report of Pediatric Siblings with Hb O‐Arab and Alpha‐Thalassemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemoglobinopathies are prevalent globally; diagnosis is complex in high genetic admixture populations like Brazil. We report, in two pediatric siblings, the first documented cases in Brazil of heterozygosity for hemoglobin (Hb) O‐Arab with coinheritance of α‐thalassemia (αα/−α4.2; −α3.7/−α4.2), resulting in microcytic and hypochromic anemia ...
Elisângela de Souza Miranda Muynarsk, Amanda Cristina Meneguetti Berti, Bárbara Braga Vieira Marques, Victoria Simões Bernardo, Flaviene Felix Torres, Ingrid Souza Dias, Vanessa da Silveira Ramos de Castro, Gabriela Alves Bernardino, Danilo Grünig Humberto da Silva, Edis Belini‐Júnior   +9 more
wiley   +1 more source

Dynamics analysis of a four-dimensional hyperchaotic hidden system and its application in image encryption

Scientific Reports
Based on elementary quadratic chaotic flows with no equilibria, this paper proposes a novel four-dimensional hyperchaotic hidden attractor system. Compared with traditional chaotic systems, this system has more complex dynamic behaviors and higher ...
Zhixin Yu, Zean Tian, Wei Wang, Biao Wang, Ning Pan, Yang Wang, Qian Fang, Xin Zuo, Shengnan Guo   +8 more
doaj   +1 more source

Big Data, Big Opportunities, and Big Challenges [PDF]

Journal of Investigative Dermatology Symposium Proceedings, 2015
High-throughput assays have begun to revolutionize modern biology and medicine. The advent of cheap next-generation sequencing (NGS) has made it possible to interrogate cells and human populations as never before. Although this has allowed us to investigate the genetics, gene expression, and impacts of the microbiome, there remain both practical and ...
openaire   +2 more sources

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata, Keita Ueda, Tsukasa Ueno, Katsutsugu Umeda, Kentaro Ueno, Kanade Tanaka, Noyuri Nishida, Rie Yamawaki, Megumi Nukui, Yoshiki Arakawa   +9 more
wiley   +1 more source

Deconstructability prediction for building using machine learning and ensemble feature selection techniques

Scientific Reports
Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering greater resource ...
Habeeb Balogun, Hafiz Alaka, Eren Demir, Christian Nnaemeka Egwim, Godoyon Ebenezer Wusu, Wasiu Yusuf, Muideen Adegoke, Iqbal Qasim   +7 more
doaj   +1 more source

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson, Menna Shamma, Upeka Senanayake, Shaimaa Sahmoud, Kathleen Duffin, Victoria Howard, David King, Ayesha Fathani, Blanche Lumb, Andrei Pobischan, Irum Latif Memon, Monzir Ahmed, Rhian Thomas, Gerard Millen, Yasmeen Alomari, Sucheta Vaidya, Lynley V. Marshall, Sally L. George, Ramya Ramanujachar, Juliet Gray, Paola Angelini   +20 more
wiley   +1 more source

A wavelet-based frequency-domain approach for accurate multi-crop disease detection

Scientific Reports
Timely localization and diagnosis of crop lesions are critical for disease control and reducing pesticide use. However, in-field lesions often resemble leaf textures, vary widely in scale, and suffer from lighting and shadow interference—making ...
Jiamu Zhao, Yongchao Liang, Gongmin Wei, Bing Han, Jie Li, Chaoyi Yu, Junjie Zeng, Shengli He   +7 more
doaj   +1 more source

Incidence and risk factors of hypertension therapy in Australian cancer patients treated with vascular signalling pathway inhibitors

Discover Oncology, 2022
Background Clinical trials report systemic hypertension is an adverse effect of vascular signalling pathway inhibitor (VSPi) use. There are limited data from routine clinical practice. We aimed to estimate the real-world incidence and risk factors of new-
Soojung Hong, Benjamin Daniels, Marina T. van Leeuwen, Sallie-Anne Pearson, Claire M. Vajdic   +4 more
doaj   +1 more source

Clustering Big Data

Proceedings of the 7th International Conference on Data Science, Technology and Applications, 2018
abstract
Michele Ianni, Elio Masciari, Giuseppe M. Mazzeo, Carlo Zaniolo   +3 more
openaire   +5 more sources