Since the solution to many public health problems depends on research, it is critical for the progress and well-being for the patients that we can trust the scientific literature. Misconduct and poor laboratory practice in science threatens the scientific progress, leads to loss of productivity and increased healthcare costs, and endangers lives of patients. Data duplication may represent one of challenges related to these problems. In order to estimate the frequency of data duplication in life science literature, a systematic screen through 120 original scientific articles published in three different cancer related journals [journal impact factor (IF) <5, 5-10 and >20] was completed. The study revealed a surprisingly high proportion of articles containing data duplication. For the IF < 5 and IF > 20 journals, 25% of the articles were found to contain data duplications. The IF 5-10 journal showed a comparable proportion (22.5%). The proportion of articles containing duplicated data was comparable between the three journals and no significant correlation to journal IF was found. The editorial offices representing the journals included in this study and the individual authors of the detected articles were contacted to clarify the individual cases. The editorial offices did not reply and only 1 out of 29 cases were apparently clarified by the authors, although no supporting data was supplied. This study questions the reliability of life science literature, it illustrates that data duplications are widespread and independent of journal impact factor and call for a reform of the current peer review and retraction process of scientific publishing.
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http://dx.doi.org/10.1007/s11948-015-9668-7 | DOI Listing |
BMC Plant Biol
January 2025
College of Forestry, Southwest Forestry University, Kunming, Yunnan, 650224, China.
Background: Phaius Lour. (Collabieae, Orchidaceae) is a small genus consisting of about 45 species, with highly ornamental and medicinal values. However, the phylogenetic relationship of Phaius among Calanthe s.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt.
The research study objective seeks to improve the efficiency of wind turbines using state-of-the-art techniques in the domain of ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically achieved through either vibration analysis or by using Supervisory Control and Data Acquisition (SCADA) data of wind turbines, wherein conventional fault pattern identification is a time-consuming, guesswork process. This work proposed an intelligent automated approach to early fault detection through the implementation of the HARO (Huber Adam Regression Optimizer) model, which combines Transformer networks with Lasso Regression and the Adam optimizer.
View Article and Find Full Text PDFBackground: Outdoor air pollution is a global issue which poses a significant health risk. Modern neuroimaging techniques have revealed the detrimental impact of air pollution on brain health, in particular the development and progression of neurodegenerative diseases such as Alzheimer's disease (AD). We conducted a systematic review to evaluate the effects of long-term (months to years) exposure to outdoor air pollutants on the development and progression of AD using neuroimaging data.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Background: Across the Arab world, Alzheimer's disease and related dementias (ADRD) are a growing public health concern with the increase in the proportion of older adults. Yet, our understanding of these conditions remains limited because of a lack of data. Robust assessments of cognitive function are crucial for screening, prevention, and risk factor identification.
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