Human body communication (HBC) uses the human body to transmit power and data, much like the internet. Because it's a smaller and closed network, it has the benefit of being more secure and power efficient. In a recent study, a group of Japanese researchers used an equivalent circuit model to examine how different parameters affect HBC transmission characteristics.
How does the brain's circuitry adjust itself to make sense of the world despite the hugely different signals it receives? Scientists from the National Centre for Biological Sciences (NCBS), Bangalore, believe that they have discovered the root causes of this phenomenon--called normalization--to be based on two properties of brain circuits that they have demonstrated in mouse brains.
Discovery by Brazilian and US researchers could change the classification of two species, which appear more akin to jellyfish than was thought.
Predicting what someone's face looks like based on a DNA sample remains a hard nut to crack for science. It is, however, getting easier to use such a sample to filter the right face from a face database, as an international team led by KU Leuven has shown. Their findings were published in Nature Communications.
At Earlham Institute, artificial intelligence-based techniques such as machine learning is moving from being merely an exciting premise to having real-life applications, where it's needed most: improving efficiency and precision on the farm.
A group of scientists at the National Centre for Genomic Analysis (CNAG-CRG) from the Centre for Genomic Regulation (CRG), in Barcelona, Spain, led by Holger Heyn, developed a new computational tool, based on the mathematical Graph theory, to infer global, large-scale regulatory networks, from healthy and pathological organs, such as those affected by diabetes or Alzheimer's disease. The researchers were able to pinpoint genes relevant to organ function and potential drivers of diseases.
For years, routine testing has shown that watersheds of the Mahaulepu Valley and Waikomo Stream in southeast Kauai frequently contain high counts of potentially pathogenic fecal indicator bacteria (FIB). To better understand the cause of the high FIB counts, the DOH commissioned a study by Berkeley Lab microbial ecologists Gary Andersen and Eric Dubinsky.
Phenology -- the study of events in an organism's life cycle such as plant leaf out and flowering -- has taken on additional importance in recent decades as a means to study the effects of global climate change on species. Phenology is both driven by climate and deeply impacts ecosystem function. This special issue of Applications in Plant Sciences gathers innovative phenology studies that present improved methods for accessing, analyzing, and applying data to phenology research.
For the first time, Colorado State University scientists Tim Stasevich and Brian Munsky have developed detailed imaging technology and computational analyses to visualize, quantify and understand frameshifting mechanisms at the level of single molecules in living cells.
A new study has surprised the medical world, finding that smoking does not shorten the length of telomeres -- a marker at the end of our chromosomes that is widely accepted as an indicator of aging. This suggests that adult telomere length should be considered a static biomarker that changes relatively little during adult life. The authors emphasize that this does not lessen the evidence that smoking is bad for you.