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Mathematics
Results 1 - 20 of 448.
AI reveals unsuspected math underlying search for exoplanets
Artist's concept of a sun-like star (left) and a rocky planet about 60% larger than Earth in orbit in the star's habitable zone. Gravitational microlensing has the ability to detect such planetary systems and determine the masses and orbital distances, even though the planet itself is too dim to be seen.
Artist's concept of a sun-like star (left) and a rocky planet about 60% larger than Earth in orbit in the star's habitable zone. Gravitational microlensing has the ability to detect such planetary systems and determine the masses and orbital distances, even though the planet itself is too dim to be seen.
How cells correct errors under time pressure
How does a cell balance risk and speed when dividing? scientists have developed and experimentally tested the first mathematical theory that describes the cell's best strategy for dividing safely and efficiently. Cells go through a life cycle that includes growing to the right size, being equipped to perform its functions, and finally dividing into two new cells.
How does a cell balance risk and speed when dividing? scientists have developed and experimentally tested the first mathematical theory that describes the cell's best strategy for dividing safely and efficiently. Cells go through a life cycle that includes growing to the right size, being equipped to perform its functions, and finally dividing into two new cells.
Algorithm predicts which students will drop out of Math courses
In the subjects of science and technology, engineering and mathematics - known collectively as STEM subjects - up to 40 percent of students drop out of their studies in the entry phase. A research team from the University of Tübingen's Methods Center at the Faculty of Economics and Social Sciences has now developed a statistical method that can be used to predict on average eight weeks in advance whether students will terminate their studies.
In the subjects of science and technology, engineering and mathematics - known collectively as STEM subjects - up to 40 percent of students drop out of their studies in the entry phase. A research team from the University of Tübingen's Methods Center at the Faculty of Economics and Social Sciences has now developed a statistical method that can be used to predict on average eight weeks in advance whether students will terminate their studies.
Enhancer-promoter interactions - distance matters
When and where a gene is transcribed in a living organism often depends on its physical interactions with distal genomic regulatory regions called enhancers. Researchers in the group of Luca Giorgetti have thrown light on how such interactions control transcription thanks to a novel ingenious experimental approach combined with mathematical modelling.
When and where a gene is transcribed in a living organism often depends on its physical interactions with distal genomic regulatory regions called enhancers. Researchers in the group of Luca Giorgetti have thrown light on how such interactions control transcription thanks to a novel ingenious experimental approach combined with mathematical modelling.
Build neurons with mathematics
Researchers from EPFL have found a way to use only mathematics to automatically draw neurons in 3D, meaning we are getting closer to being able to build digital twins of brains. Santiago Ramón y Cajal, a Spanish physician from the turn of the 19 th century, is considered by most to be the father of modern neuroscience.
Researchers from EPFL have found a way to use only mathematics to automatically draw neurons in 3D, meaning we are getting closer to being able to build digital twins of brains. Santiago Ramón y Cajal, a Spanish physician from the turn of the 19 th century, is considered by most to be the father of modern neuroscience.
Mathematics helps AI in biomedicine
"Data is the new oil", it has often been said. Indeed, in the digital age data is the fuel that runs the engines of digital media, advanced informatics (AI, machine learning etc.) and, not least, scientific research. Nevertheless, when facing certain highly complex issues, data-driven approaches may not always be the most effective solutions.
"Data is the new oil", it has often been said. Indeed, in the digital age data is the fuel that runs the engines of digital media, advanced informatics (AI, machine learning etc.) and, not least, scientific research. Nevertheless, when facing certain highly complex issues, data-driven approaches may not always be the most effective solutions.
Computer model shows the best ways to slow the spread of COVID-19
Researchers simulate the transmission of variants and effects of health measures By Researchers at the University of Waterloo created the first computational model that simulates many variables affecting the transmission of COVID-19 to slow the spread of variants. The model takes raw data already in use to forecast case numbers and hospitalizations, and then adds other factors, such as vaccination rates, the use of masks and lockdowns, and the number of breakthrough infections.
Researchers simulate the transmission of variants and effects of health measures By Researchers at the University of Waterloo created the first computational model that simulates many variables affecting the transmission of COVID-19 to slow the spread of variants. The model takes raw data already in use to forecast case numbers and hospitalizations, and then adds other factors, such as vaccination rates, the use of masks and lockdowns, and the number of breakthrough infections.
A mathematical model may help explain how blood circulates in the brain
Research carried out by the Universidad Carlos III de Madrid (UC3M) may help us better understand oscillations in blood flow that occur in the cerebrovascular network, thanks to a theoretical model that allows the flow and accumulation of fluid (in this case, blood) to be taken into account. Flow networks are made up of a set of connections that carry fluid.
Research carried out by the Universidad Carlos III de Madrid (UC3M) may help us better understand oscillations in blood flow that occur in the cerebrovascular network, thanks to a theoretical model that allows the flow and accumulation of fluid (in this case, blood) to be taken into account. Flow networks are made up of a set of connections that carry fluid.
A mathematical model helps to explain how blood circulates in the brain
Research carried out by the Universidad Carlos III de Madrid (UC3M) may help us better understand oscillations in blood flow that occur in the cerebrovascular network, thanks to a theoretical model that allows the flow and accumulation of fluid (in this case, blood) to be taken into account. Flow networks are made up of a set of connections that carry fluid.
Research carried out by the Universidad Carlos III de Madrid (UC3M) may help us better understand oscillations in blood flow that occur in the cerebrovascular network, thanks to a theoretical model that allows the flow and accumulation of fluid (in this case, blood) to be taken into account. Flow networks are made up of a set of connections that carry fluid.
A mathematical secret of lizard camouflage
A multidisciplinary team at the University of Geneva has succeeded in explaining the complex distribution of scales in the ocellated lizard by means of a simple equation. The shape-shifting clouds of starling birds, the organization of neural networks or the structure of an anthill: nature is full of complex systems whose behaviors can be modeled using mathematical tools.
A multidisciplinary team at the University of Geneva has succeeded in explaining the complex distribution of scales in the ocellated lizard by means of a simple equation. The shape-shifting clouds of starling birds, the organization of neural networks or the structure of an anthill: nature is full of complex systems whose behaviors can be modeled using mathematical tools.
Computational models reveal effects of pregnancy on kidneys
Returning to in-person experiences in February: for more information. The computational models will help medical practitioners better understand the physiology of the kidneys during pregnancy Researchers are using computer simulations to better understand the impacts pregnancy can have on kidneys. The new research will help medical practitioners better understand the physiology of the kidneys during pregnancy and develop appropriate patient care and treatments to improve health outcomes.
Returning to in-person experiences in February: for more information. The computational models will help medical practitioners better understand the physiology of the kidneys during pregnancy Researchers are using computer simulations to better understand the impacts pregnancy can have on kidneys. The new research will help medical practitioners better understand the physiology of the kidneys during pregnancy and develop appropriate patient care and treatments to improve health outcomes.
Mathematicians use DeepMind AI to create new methods in problem-solving
Sydney researcher Professor Geordie Williamson is working with colleagues at Oxford using DeepMind's artificial intelligence to develop fundamentally new techniques in mathematics. For the first time, computer scientists and mathematicians have used artificial intelligence to help prove or suggest new mathematical theorems in the complex fields of knot theory and representation theory.
Sydney researcher Professor Geordie Williamson is working with colleagues at Oxford using DeepMind's artificial intelligence to develop fundamentally new techniques in mathematics. For the first time, computer scientists and mathematicians have used artificial intelligence to help prove or suggest new mathematical theorems in the complex fields of knot theory and representation theory.
Machine learning helps mathematicians make new connections
For the first time, mathematicians have partnered with artificial intelligence to suggest and prove new mathematical theorems. The work was done in a collaboration between the University of Oxford, the University of Sydney in Australia and DeepMind, Google's artificial intelligence sister company. While computers have long been used to generate data for mathematicians, the task of identifying interesting patterns has relied mainly on the intuition of the mathematicians themselves.
For the first time, mathematicians have partnered with artificial intelligence to suggest and prove new mathematical theorems. The work was done in a collaboration between the University of Oxford, the University of Sydney in Australia and DeepMind, Google's artificial intelligence sister company. While computers have long been used to generate data for mathematicians, the task of identifying interesting patterns has relied mainly on the intuition of the mathematicians themselves.
Looking into four-dimensional space with light
Light is used for various purposes in nowadays applications. For example, data can be transmitted with light and nanoscopic structures can be created by light. To enable such applications, light must be structured. To do this, its properties - intensity (brightness), phase (position in oscillation-cycle) and polarization (direction of the oscillation) - are "tailored".
Light is used for various purposes in nowadays applications. For example, data can be transmitted with light and nanoscopic structures can be created by light. To enable such applications, light must be structured. To do this, its properties - intensity (brightness), phase (position in oscillation-cycle) and polarization (direction of the oscillation) - are "tailored".
Securing data transfers with relativity
A team from the University of Geneva has implemented a new way to secure data transfers based on the physical principle of relativity. The volume of data transferred is constantly increasing, but the absolute security of these exchanges cannot be guaranteed, as shown by cases of hacking frequently reported in the news.
A team from the University of Geneva has implemented a new way to secure data transfers based on the physical principle of relativity. The volume of data transferred is constantly increasing, but the absolute security of these exchanges cannot be guaranteed, as shown by cases of hacking frequently reported in the news.
Improving contact-tracing apps in the COVID-19 era
An international collaboration with EPFL has developed a method to improve the performance of COVID-19 contact-tracing apps by taking into account a user's recent contacts, risk levels and shared information about tests and symptoms. Contact-tracing apps like SwissCovid have enormous potential to mitigate the spread of the COVID-19 pandemic.
An international collaboration with EPFL has developed a method to improve the performance of COVID-19 contact-tracing apps by taking into account a user's recent contacts, risk levels and shared information about tests and symptoms. Contact-tracing apps like SwissCovid have enormous potential to mitigate the spread of the COVID-19 pandemic.
From chemical Graphs To Structures
Three-dimensional (3D) configurations of atoms dictate all materials properties. Quantitative predictions of accurate equilibrium structures, 3D coordinates of all atoms, from a chemical graph, a representation of the structural formula, is a challenging and computationally expensive task which is at the beginning of practically every computational chemistry workflow.
Three-dimensional (3D) configurations of atoms dictate all materials properties. Quantitative predictions of accurate equilibrium structures, 3D coordinates of all atoms, from a chemical graph, a representation of the structural formula, is a challenging and computationally expensive task which is at the beginning of practically every computational chemistry workflow.
Four cryptographic vulnerabilities in Telegram
An international research team of cryptographers completed a detailed security analysis of the popular Telegram messaging platform identifying several weaknesses in its protocol that demonstrate the product falls short of some essential data security guarantees. Working with only open-source code and without "attacking" any of Telegram's running systems, a small team of international researchers completed a detailed analysis of the company's encryption services.
An international research team of cryptographers completed a detailed security analysis of the popular Telegram messaging platform identifying several weaknesses in its protocol that demonstrate the product falls short of some essential data security guarantees. Working with only open-source code and without "attacking" any of Telegram's running systems, a small team of international researchers completed a detailed analysis of the company's encryption services.
Zeitabhängige Berechnung eines Bose-Einstein-Kondensats
The term Bose-Einstein condensate describes a state of matter in which atoms or elementary particles combine into a single quantum mechanical object during extreme cooling. Science does not yet fully understand exactly how these macroscopic states - beyond the confines of traditional physics - develop from a thermal atomic cloud in just a few milliseconds and when statistical equilibrium is reached, according to Georg Wolschin.
The term Bose-Einstein condensate describes a state of matter in which atoms or elementary particles combine into a single quantum mechanical object during extreme cooling. Science does not yet fully understand exactly how these macroscopic states - beyond the confines of traditional physics - develop from a thermal atomic cloud in just a few milliseconds and when statistical equilibrium is reached, according to Georg Wolschin.
Mathematics to improve macular degeneration treatment
Researchers from the Universidad Carlos III de Madrid (UC3M) have created a mathematical model and simulated numerically the progression of age-related macular degeneration, one of the main causes of blindness. This model can be used to better understand how this disease appears and assess the most effective treatments.
Researchers from the Universidad Carlos III de Madrid (UC3M) have created a mathematical model and simulated numerically the progression of age-related macular degeneration, one of the main causes of blindness. This model can be used to better understand how this disease appears and assess the most effective treatments.
Innovation - Today
Manchester spinout Chromition announces Shell Luminspheres reservoir surveillance agreement
Manchester spinout Chromition announces Shell Luminspheres reservoir surveillance agreement

Social Sciences - May 25
Gender und Politik in Südosteuropa: PRODUCTION SITE YUGOSLAV SOCIALIST PUBLISHING FOR CHILDREN
Gender und Politik in Südosteuropa: PRODUCTION SITE YUGOSLAV SOCIALIST PUBLISHING FOR CHILDREN
Environment - May 25
New international partnership puts communities and smart grids at the heart of net zero
New international partnership puts communities and smart grids at the heart of net zero

Innovation - May 25
GEIC partner Watercycle Technologies secures funding for lithium extraction process
GEIC partner Watercycle Technologies secures funding for lithium extraction process

Environment - May 25
VUB's Soumaya Majdoub and Cathy Macharis named on panel for just transition to sustainable society
VUB's Soumaya Majdoub and Cathy Macharis named on panel for just transition to sustainable society
Environment - May 25
Engineering Research Day showcases the role of engineers in addressing sustainability issues
Engineering Research Day showcases the role of engineers in addressing sustainability issues

Innovation - May 25
University of Toronto event explores the 'myths of technology and the realities of war'
University of Toronto event explores the 'myths of technology and the realities of war'
Social Sciences - May 25
World-first Centre for Consciousness and Contemplative Studies opens at Monash University
World-first Centre for Consciousness and Contemplative Studies opens at Monash University