Results 21 to 30 of about 3,046,624 (266)

Data- and Model-Driven Crude Oil Supply Risk Assessment of China Considering Maritime Transportation Factors

open access: yesJournal of Marine Science and Engineering, 2023
Effective supply-chain risk assessment is the basis for developing sustainable supply policies, and it has received growing attention in global oil supply system management.
Gangqiao Wang   +3 more
doaj   +1 more source

Successes and lessons learned in database development for national multi-site cancer care delivery research trials: the Alliance for Clinical Trials in Oncology experience

open access: yesTrials, 2022
Introduction Alliance for Clinical Trials in Oncology (Alliance) coordinated trials utilize Medidata Rave® (Rave) as the primary clinical data capture system.
David Zahrieh   +15 more
doaj   +1 more source

Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation

open access: yesIET Biometrics, 2022
Most deep learning‐based image classification models are vulnerable to adversarial attacks that introduce imperceptible changes to the input images for the purpose of model misclassification.
Zohra Rezgui   +2 more
doaj   +1 more source

Managing Research Data.

open access: yesIssues in Science and Technology Librarianship, 2013
The article reviews the book "Managing Research Data" edited by G. Pryor.
openaire   +2 more sources

Integrated bioinformatics analysis to develop diagnostic models for malignant transformation of chronic proliferative diseases

open access: yesBlood Science
The combined analysis of dual diseases can provide new insights into pathogenic mechanisms, identify novel biomarkers, and develop targeted therapeutic strategies.
Hua Liu   +14 more
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski   +59 more
wiley   +1 more source

Sechelleptus arborivagus sp. nov., a new arboreal spirostreptid millipede (Diplopoda, Spirostreptidae) endemic to Mayotte Island (Comoros Archipelago), Indian Ocean

open access: yesEuropean Journal of Taxonomy, 2021
A new millipede species of the genus Sechelleptus Mauriès, 1980 is described and illustrated from Mayotte Island, Indian Ocean. This new species, S. arborivagus sp. nov., found on trees, looks particularly similar to the sympatric S.
Didier VandenSpiegel   +2 more
doaj   +1 more source

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware   +13 more
wiley   +1 more source

Data management redefined

open access: yesPerspectives in Clinical Research, 2010
Core perspectives on the traditional approach to CDM are rapidly changing and EDC and new eclincal initiatives are redefining the face of data management. Associated with EDC are not only the higher efficiencies, resulting in lower study costs, but its applications in key areas such as adaptive trials and clinical event adjudication; however the cost ...
openaire   +3 more sources

Reinforcement learning-driven optimization method for adaptive data hierarchical classification strategy

open access: yesDiscover Computing
Hierarchical classification is vital to structured data analysis in bioinformatics, document categorization, and creative city data management. Hierarchical categorization permits label classification into many hierarchies.
Lei Lv   +3 more
doaj   +1 more source

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