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Benchmarking protein language models for protein crystallization.
Sci Rep
January 2025
Biotechnology Research Center, Technology Innovation Institute, P.O. Box 9639, Abu Dhabi, United Arab Emirates.
The problem of protein structure determination is usually solved by X-ray crystallography. Several in silico deep learning methods have been developed to overcome the high attrition rate, cost of experiments and extensive trial-and-error settings, for predicting the crystallization propensities of proteins based on their sequences. In this work, we benchmark the power of open protein language models (PLMs) through the TRILL platform, a be-spoke framework democratizing the usage of PLMs for the task of predicting crystallization propensities of proteins.
View Article and Find Full Text PDFTackling misinformation in mobile social networks a BERT-LSTM approach for enhancing digital literacy.
Sci Rep
January 2025
The Army Engineering University of PLA, Nanjing, 211117, Jiangsu, China.
The rapid proliferation of mobile social networks has significantly accelerated the dissemination of misinformation, posing serious risks to social stability, public health, and democratic processes. Early detection of misinformation is essential yet challenging, particularly in contexts where initial content propagation lacks user feedback and engagement data. This study presents a novel hybrid model that combines Bidirectional Encoder Representations from Transformers (BERT) with Long Short-Term Memory (LSTM) networks to enhance the detection of misinformation using only textual content.
View Article and Find Full Text PDFUtilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.
Sci Rep
December 2024
Department of Architecture, Rafsanjan Branch, Islamic Azad University, Rafsanjan, Iran.
The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resources efficiently, and enhance the overall well-being of residents. However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced.
View Article and Find Full Text PDFEvaluating the effect of a virtual reality digital therapeutic on maternal stress among expectant and postpartum Black and Latina mothers: a protocol paper.
Front Psychiatry
December 2024
Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, Miami, FL, United States.
Background: Maternal mental health is vital to overall well-being, particularly among expectant and postpartum Black and Latina women who experience higher stress levels and mental health challenges. Traditional healthcare systems often fail to meet these needs, underscoring the need for innovative and accessible interventions. NurtureVR, a digital maternal mental health and educational program, leverages virtual reality to offer mindfulness, relaxation, and guided imagery to support these women.
View Article and Find Full Text PDFAdvancing vaccine research in Africa: A comprehensive analysis of vaccine clinical trials landscape.
Contemp Clin Trials
December 2024
Cochrane South Africa, South African Medical Research Council, Tygerberg 7505, South Africa. Electronic address:
This study presents an in-depth analysis of vaccine clinical trials in Africa, emphasising the significance of local investments to address the continent's healthcare requirements. The research scrutinises vaccine trials across various African nations, focusing on trial distribution, phases, funding sources, recruitment sites, recruitment statuses, and age group participation. The findings suggest substantial trial activity in countries like Kenya, Ghana, and Gambia, whereas nations like the Democratic Republic of the Congo and Tunisia exhibit minimal representation.
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