A multidisciplinary team of researchers from the National University of Singapore (NUS) has created a first-of-its-kind all-organic plant e-skin for continuous and non-invasive plant monitoring.
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A research team created seven learning models using Support Vector Machine (SVM) algorithms to discern flowering-time-associated genes (FTAGs) from non-FTAGs, with the SVM-Kmer-PC-PseAAC model performing the best (F1 score = 0.934, accuracy = 0.939, and receiver operating characterstic = 0.943).
A research team conducted a comprehensive analysis of phylogenetic relationships among Australian citrus species and 13 international accessions, shedding light on their genetic diversity and evolutionary history.
The cost effectiveness of wind farms could be significantly improved by reducing the speed of wind turbines that are clustered together, which could improve their longevity and also reduce noise pollution. A team of researchers from the University of Adelaide led by Dr Rey Chin looked at the operation conditions of wind turbines, investigated those conditions relative to power output and performance, and how turbines interact with each other.
In a notable advancement, scientists have developed an efficient gene functional analysis method for peach seedlings, overcoming longstanding hurdles in genetic transformation. Utilizing a TRV-based vector system, this innovative approach induces high-frequency gene silencing across diverse plant tissues, enabling in-depth analysis of genes essential for growth and development. The streamlined process notably shortens the transformation and analysis timeline to just 1.5 months, accelerating advancements in horticultural research.
A survey of 50,000 primary and secondary school students has found a clear link between night time phone use, sleep deprivation, cyberbullying and poor mental health.
As part of Climate Week NYC, Columbia Engineering will celebrate a week of events bringing together researchers and experts at the forefront of developing solutions to help the planet and society.
The Association for Diagnostics & Laboratory Medicine (ADLM, formerly AACC) has issued expert guidance on lipid tests, which measure blood levels of fats and cholesterol to help assess a patient’s risk of heart disease and stroke. By giving clinicians and laboratory medicine professionals much-needed clarity on how to best use these tests, the new guidelines will ensure that more patients with cardiovascular disease get the treatment they need.