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Categories: Mathematics: Puzzles, Mathematics: Statistics
Published These cognitive exercises help young children boost their math skills, study shows


Young children who practice visual working memory and reasoning tasks improve their math skills more than children who focus on spatial rotation exercises, according to a large study. The findings support the notion that training spatial cognition can enhance academic performance and that when it comes to math, the type of training matters.
Published Smartphone breath alcohol testing devices vary widely in accuracy


The latest generation of personal alcohol breath testing devices pair with smartphones. While some of these devices were found to be relatively accurate, others may mislead users into thinking that they are fit to drive, according to a new study.
Published Quantum drum duet measured


Like conductors of a spooky symphony, researchers have 'entangled' two small mechanical drums and precisely measured their linked quantum properties. Entangled pairs like this might someday perform computations and transmit data in large-scale quantum networks.
Published Algorithms improve how we protect our data


Scientists have developed algorithms that more efficiently measure how difficult it would be for an attacker to guess secret keys for cryptographic systems. The approach could reduce the computational complexity needed to validate encryption security.
Published Silicon could be a photonics game-changer


New research has shown that silicon could be one of the most powerful materials for photonic informational manipulation - opening up new possibilities for the production of lasers and displays.
Published Simple robots, smart algorithms


Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research shows that, as magnetic interactions increase, dispersed 'dumb robots' can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these 'BOBbots' (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.
Published Auxin makes the spirals in gerbera inflorescences follow the Fibonacci sequence


The meristem of the gerbera is patterned on the molecular level already at a stage where no primordia or other changes are discernible by even an electron microscope.
Published New approach to centuries-old 'three-body problem'


The "three-body problem," the term coined for predicting the motion of three gravitating bodies in space, is essential for understanding a variety of astrophysical processes as well as a large class of mechanical problems, and has occupied some of the world's best physicists, astronomers and mathematicians for over three centuries. Their attempts have led to the discovery of several important fields of science; yet its solution remained a mystery.
Published Basketball Mathematics scores big at inspiring kids to learn


New study with 756 1st through 5th graders demonstrates that a six-week mashup of hoops and math has a positive effect on their desire to learn more, provides them with an experience of increased self-determination and grows math confidence among youth.
Published Do school-based interventions help improve reading and math in at-risk children?


School-based interventions that target students with, or at risk of, academic difficulties in kindergarten to grade 6 have positive effects on reading and mathematics, according to a new article.
Published Big data tells story of diversity, migration of math's elite


Research uses artificial intelligence to map connections between the world's top mathematicians.
Published New statistical method eases data reproducibility crisis


A reproducibility crisis is ongoing in scientific research, where many studies may be difficult or impossible to replicate and thereby validate, especially when the study involves a very large sample size. Now researchers have developed a statistical tool that can accurately estimate the replicability of a study, thus eliminating the need to duplicate the work and effectively mitigating the reproducibility crisis.
Published Standard vital signs could help estimate people's pain levels


A new study demonstrates that machine-learning strategies can be applied to routinely collected physiological data, such as heart rate and blood pressure, to provide clues about pain levels in people with sickle cell disease.
Published Sum of cubes: New math solution for 3


After cracking the 'sum of cubes' puzzle for 42, mathematicians discover a new solution for 3.
Published In era of online learning, new testing method aims to reduce cheating


Engineers demonstrate how a testing strategy they call 'distanced online testing' can effectively reduce students' ability to receive help from one another in order to score higher on a test taken at individual homes during social distancing.
Published Laser system generates random numbers at ultrafast speeds


Scientists have developed a system that can generate random numbers over a hundred times faster than current technologies, paving the way towards faster, cheaper, and more secure data encryption in today's digitally connected world.
Published AI identifies social bias trends in Bollywood, Hollywood movies


An automated computer analysis method designed by Carnegie Mellon University computer scientists makes it possible to track social biases across decades of Bollywood and Hollywood movies.
Published The Ramanujan Machine: Researchers develop 'conjecture generator'


Using AI and computer automation, researchers have developed a 'conjecture generator' that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems.
Published To find the right network model, compare all possible histories


Scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new article offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models.
Published Researchers use deep learning to identify gene regulation at single-cell level


Researchers describe how they developed a deep-learning framework to observe gene regulation at the cellular level.