Nobel Prize in Physics Archives.. Awarded 117 times to 224 scientists including 5 women, withheld 6 times.. Marie Curie won first.. John Bardeen won twice.. 32 divided evenly. times and 38 times out of three winners.. It was given to one winner 47 times
New scientists wrote their names in history Nobel Prize in PhysicsAfter the Royal Swedish Academy of Sciences announced today, they, Pierre Agostini, Ferenc Kroes and Anne Lhuillier have won this unique award for 2023.
From the inception of the Nobel Prize in Physics in 1901 to 2023, the Academy’s record number of scientists who have won it is 224, including a two-time winner.
Nobel Prize Medal
Number of Nobel Prizes in Physics
The Nobel Prize in Physics has been awarded 117 times from 1901 to the present, and has not been awarded six times in the following years: 1916, 1931, 1934, 1940, 1941 and 1942.
According to the law of the Nobel Foundation: If no work under consideration turns out to be of the importance mentioned in the first paragraph, the financial prize is kept until the following year. If the award is not made, even at that time, the amount will be added to the restricted fund of the trust. During World Wars I and II, fewer Nobel Prizes were awarded.
Nobel Prize in Physics
47 prizes were awarded to one winner alone.
It was shared equally by 32 scientists
It was split 38 times between three winners.
According to the law of the Nobel Foundation, the prize money can be divided equally between two works, and each of them is considered worthy of a prize. If two or three persons produce the work to be rewarded, the award is given to them jointly. Under no circumstances should the prize money be split between more than three persons.
The Nobel Prize in Physics has been awarded to 225 winners in the period from 1901 to 2023, including scientist John Bardeen who won the Nobel Prize twice, bringing the number of winners since 1901 to 224 scientists.
Three scientists have won the 2023 Nobel Prize in Physics
Nobel laureates in physics
Of the 224 winners of the Nobel Prize in Physics, only five women scientists have won.
1903 – Marie Curie (also won the Nobel Prize in Chemistry in 1911).
1963 – Maria Gobert Meyer
2018 – Donna Strickland
2020 – Andrea Guess
2023 – Anne Lhuillier.
Two time Nobel laureates
John Bardeen is the only scientist to win the Nobel Prize in Physics twice, first in 1956 and second in 1972.
Some people like to eat a lot of spicy food and may not be able to resist it, although this may cause some problems with the taste buds of the tongue or the digestive system, and according to the website “My Health only“, can cause Chili pepper For various digestive problems like vomiting, indigestion, irritable bowel syndrome and constipation, there are ways to improve spice tolerance..
Cool ingredients from your diet to soothe chili problems
Eating cooling foods like yogurt, cucumber, mint and coconut are great ways to combat the heat of burning foods as they soothe the digestive system.
Stay hydrated
Spicy foods can cause dehydration, so be sure to stay hydrated, especially when eating spicy foods, drinking water and herbs to help balance and maintain balance.
Yogurt with hot dishes
Drinking curd after eating spicy food can help in relieving the heat caused by spicy food. Curd is a classic remedy, it contains probiotics and has a soothing effect on the digestive system.
Herbs like chamomile
Herbs like cilantro can help cut down on spicy flavors. Additionally, drinking herbal teas like chamomile or peppermint after meals can also help ease digestion after a spicy meal.
The painful earthquakes in Turkey, Morocco and Afghanistan in 2023, which caused severe losses beyond thousands of deaths and injuries and severe damage to infrastructure, confirm the importance of constructing earthquake-resistant buildings. Many technological solutions are now available to increase the resistance of buildings to earthquakes, which may protect lives or mitigate their psychological and economic effects and consequences. Many international universities are also racing to develop technologies that can help predict earthquakes using artificial intelligence.
Major universities are developing new technologies to help predict earthquakes with artificial intelligence (Shutterstock).
Earthquake resistant designs
Earthquake-resistant design includes a range of technologies and methods to improve a building’s ability to withstand seismic forces. In an exclusive interview with Asharq Al-Awsat, architect Muhammad Obaid, founder and CEO of Emcon Architecture and Engineering Consultancy, explains the basic techniques and methods currently used in earthquake-resistant design. “Basic isolation systems range from shear walls, moment-resisting frames, anchorage systems, tuned mass dampers, viscous dampers, reinforced concrete, steel framing, flexible materials, energy dissipation devices, seismic retrofitting, design of non-structural components,” Obaid said. says. , and soil optimization, seismic hazard assessment, computer modeling and simulation, and building codes and standards.” He adds, “Engineers and architects combine these techniques and methods to create detailed earthquake-resistant designs designed to meet the specific needs and conditions of the building and its location, and the choice of techniques depends on factors such as the type of building, location, budget, and level of seismic risk.” “
Architect Mohammad Obaid is the Founder and CEO of “EMKON” Architectural and Engineering Consulting Firm (EMKON).
Restoration of old buildings
Retrofitting existing buildings with sustainable, earthquake-resistant technologies is certainly possible, but it requires careful planning, engineering expertise and compliance with local regulations. Architect Muhammad Obaid, speaking to Asharq Al-Awsat, believes that “existing buildings can be modernized with sustainable and earthquake-resistant technologies, although the process varies in complexity depending on the specific technologies and the structural and architectural characteristics of the building.” Some of the considerations for retrofitting existing buildings with these techniques include “structural retrofitting, material improvements, architectural considerations, engineering expertise, building codes and permits, cost considerations, phased approach, seismic evaluation and integration of sustainable technologies,” he explains. “Operational challenges and issues vary from one building to another, and a customized approach is often necessary to achieve desired seismic and sustainability goals while minimizing disruption to building occupants,” he notes.
Stanford University researchers have developed an artificial intelligence model that can predict aftershocks after an earthquake with more than 80 percent accuracy.
The model was trained on a dataset of more than 700,000 earthquakes from around the world, and it was able to identify patterns in more complex data that traditional methods could not detect, the researchers report.
The model works by analyzing seismic activity data sources, geological data and machine learning algorithms to identify patterns and trends associated with the occurrence of earthquakes. It can predict the size and timing of a setback. The model is still under development, but it can be a valuable predictive tool that can improve the accuracy and timeliness of aftershock warnings and help save lives and property.
The Japanese DLEPM model was trained on a dataset of over 10 million global seismic events (Shutterstock).
High precision Japanese model
Scientists at the University of Tokyo have succeeded in developing a model called Deep Learning Earthquake Prediction Model (DLEPM) that can predict with high accuracy by analyzing seismic activity patterns. The model was trained on a dataset of over 10 million seismic events from around the world. DLEPM analyzes a variety of data sources, including geographic data and machine learning algorithms. Japanese university researchers say it has proven to be very accurate in predicting. It is 80 percent successful in predicting magnitude 6 or greater earthquakes within a week of their occurrence.
“DLEPM” is still under development, but its potential is not limited to saving lives and property, but improving researchers’ understanding of earthquake processes and how and why they occur to develop new strategies to prevent them and mitigate their effects.
Los Alamos National Laboratory in the United States is developing an artificial intelligence model that could help predict earthquakes (Shutterstock)
Prediction of crack friction
Another AI model that can predict future fault friction is called the Deep Learning Fault Friction Model (DLFFM), developed by scientists at Los Alamos National Laboratory in the US.
Trained on a dataset of more than one million laboratory earthquakes, the model analyzes various data sources to identify patterns and trends associated with fault friction. They can be used to predict future friction at a given location, and how friction will change over time. DLFFM is still under development, but could be a valuable tool for improving the accuracy and timeliness of earthquake warnings.
Kengo Kuma, a Japanese architect, used carbon fiber to stabilize buildings and protect them from earthquakes (Shutterstock)
The innovative Japanese method
Japan is located on the Pacific “Ring of Fire” and is known for frequent seismic activity, prompting the design and construction of earthquake-resistant buildings.
An architectural firm affiliated with Kengo Kuma used carbon fiber to stabilize buildings and protect them from earthquakes. These materials are made from thermoplastic carbon fiber, a material with amazing tensile strength that rivals traditional building materials like steel. The innovation provides additional reinforcement to the building structure as carbon fiber ropes extend through a metal frame above the eco-friendly roof and then drop down the sides to reach the ground. Carbon fibres, separated in curtain-like fashion, form doors that lead to interior spaces draped over time and covered in white fabric.
The Stanford model works by analyzing seismic and geological data sources and machine learning algorithms (Shutterstock).
Cost of earthquake resistant buildings
Earthquake-resistant technologies can have a significant impact on the overall cost of a construction project. While these technologies are essential to ensure a building’s safety and resilience during seismic events, they can also add cost to a project. Architect Muhammad Obaid, founder and CEO of Imcon Architecture and Engineering Consulting, explains in an exclusive interview with Asharq Al-Awsad, “The degree of this influence depends on various factors, including specific technologies, the location of the project, the type of building and the level of seismic hazards. “Earthquake He believes that resisting technologies, materials and components, complexity of structural design, special systems, foundation systems, quality control and inspection, architectural modifications, seismic retrofits, local building codes, and degree of seismic risk affect construction costs. Project size and complexity and maintenance and life cycle costs.
While earthquake-resistant technologies add upfront construction costs, they also lead to long-term benefits. Architect Muhammad Obaid says, “These benefits include increased safety, lower repair and reconstruction costs after an earthquake, and a possible reduction in insurance premiums. Some regions offer incentives or subsidies to cover the initial costs of incorporating earthquake-resistant technologies.” Generally, building an earthquake-resistant building costs more than a conventional building. According to architect Muhammad Obaid, this cost is “10 percent to 30 percent more than the cost of building a conventional building.”
Some metabolic disorders can cause bad breath due to various problems in the intestines, blood or liver.
The following are the most important medical conditions that can cause complications:
diabetes
A common condition that causes bad breath in the mouth and throat is diabetes because high glucose levels can cause the growth of harmful bacteria.
Because people with diabetes have insulin problems, cells may not get the glucose they need for energy, and instead the body starts burning fat-forming compounds called ketones.
Ketones accumulate in the blood and urine and cause bad breath.
One of these ketones is acetone, and it can cause breath to smell like nail polish.
If someone with diabetes notices the smell, they should seek medical advice as it could be due to diabetic ketoacidosis, a life-threatening condition.
Liver disease
If a person’s breath has a strong, foul smell, this is a sign that the liver is not filtering out toxins.
Doctors call this distinctive smell “the breath of the dead” because of its association with severe and fatal liver disease.
Kidney disease
Chronic kidney disease is a condition in which the kidneys are damaged and cannot filter the blood properly, which is why excess fluids and waste from the blood can build up in the body and cause other health problems such as heart disease and stroke.
People with kidney failure may develop bad breath.
As the kidneys begin to fail, the metabolic urea cannot be excreted effectively in the urine, and it accumulates in the blood and saliva.
The body converts urea into ammonia, which causes bitterness in the mouth and bad breath.
One in three people on dialysis say their breath smells like urine.
