Pings
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Answer Accepted 8 Answers 5 Votes
No threshold approach in the risk assessment of genotoxic carcinogen. Is it still well supported by current knowledge of carcinogenesis?
No threshold approach is routinely applied in the risk assessment of genotoxic carcinogens. How this approach is supported by data? Isn´ t it somewhat obsolete?
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0 Answers 0 Votes
How can deep learning architectures be designed to improve generalization under limited or noisy training data while maintaining robustness and interpretability?
Deep learning models have achieved remarkable performance across domains such as computer vision, natural language processing, and scientific modeling. However, challenges remain in areas including generalization beyond training distributions, interpretability of learned representations, and robustness to noisy or limited datasets. I am particularly interested in understanding which architectural innovations, training strategies, or theoretical insights have shown the most promise in...
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6 Answers 0 Votes
What deep learning strategies best balance accuracy and interpretability in medical image segmentation for disease progression analysis?
Medical imaging (CT/MRI) segmentation is vital for tracking disease, but black-box models reduce clinical trust. Methods like explainable AI (XAI), uncertainty quantification, and hybrid modeling may bridge this gap. What approaches are most promising?
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5 Answers 0 Votes
What threshold of urinary cadmium (Cd-U) is currently considered indicative of early renal tubular dysfunction in exposed adult populations?
I am conducting a study on chronic environmental cadmium exposure and its nephrotoxic effects, particularly focusing on early biomarkers of renal tubular damage. Several sources suggest 2 µg/g creatinine as a reference point, but variability exists depending on population, sex, and co-exposure. Could experts clarify which threshold (e.g. 1 µg/g, 2 µg/g, or 5 µg/g creatinine) is most reliable or currently used in risk assessments and clinical practice?
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25 Answers 54 Votes
For respiratory viruses, should folks wear masks in public a) always, b) if they are or may be infected, or c) if they are afraid of getting infected? Are masks a) protection, or b) social signals?
Since 2020, the public has thought of masks as having a protective purpose, and many rebel at the inconvenience, rationalizing that “they do a poor job of protecting.” Is the current epidemic a good opportunity for government and medicine to teach the folks about the more important virtues of using masks to convey information?
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12 Answers 1 Vote
How can scientist get grants in human nutrition field?
Human nutrition is a very interesting field that affect all our life, however, grants opportunities are very scare
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6 Answers 4 Votes
How might AI-assisted peer review tools reshape scientific publishing, and what safeguards should be implemented to maintain review quality while addressing the increasing volume of submissions?
The peer-reviewing process is being faced with ever-growing challenges as submission rates are still rising exponentially in all areas. Journal editors are faced with the challenge of getting capable reviewers who are ready to volunteer their time, with a result being delays in reviewing, reviewer exhaustion, and worse, compromised quality. Meanwhile, AI technologies are accelerating their ability to review scientific manuscripts for methodology, statistical fitting, plagiarism screenings,...
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47 Answers 9 Votes
What are the biggest challenges facing your field of research?
1. Lack of funding 2. Difficulty in replicating studies 3. Difficulty in recruiting participants 4. Difficulty in obtaining necessary resources and equipment
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9 Answers 13 Votes
Can pesticides penetrate into fruits and vegetables as well as on their surface? Is it possible to completely remove pesticide residue?
Can pesticides penetrate not only the outside but also the inside of vegetables and fruits? How to remove pesticide residue from the surface? Is it possible to completely remove pesticide residue?
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23 Answers 2 Votes
What are the benefits of strong collaborations between academia and the industry?
It is said that lack of relevant relationships between the industry and academia impede industrial innovations, as a strong bond between both can revolutionise global economy. What is your take on this and what benefits can such relationship between both parties bring?
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