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DUKAS_188337879_NUR
UNFPA Event In Mumbai
Andrea M. Wojnar, representative for UNFPA India, is seen at The United Nations Population Fund (UNFPA) event in Mumbai, India, on September 1, 2025. The agency, which focuses on sexual and reproductive health, aims to advance rights-based approaches to gender equity across the region. (Photo by Indranil Aditya/NurPhoto) -
DUKAS_188337839_NUR
UNFPA Event In Mumbai
Andrea M. Wojnar, representative for UNFPA India, is seen at The United Nations Population Fund (UNFPA) event in Mumbai, India, on September 1, 2025. The agency, which focuses on sexual and reproductive health, aims to advance rights-based approaches to gender equity across the region. (Photo by Indranil Aditya/NurPhoto) -
DUKAS_187846573_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187846571_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187846569_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187846562_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187846560_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187846549_NUR
Protestor Blocks National Guard Vehicle At Union Station
A demonstrator blocks a National Guard MRAP military vehicle from advancing outside of Union Station in Washington, D.C. on August 16, 2025. Several days prior, President Donald Trump invoked section 740 of Washington, D.C.'s Home Rule Act of 1973, federalizing the D.C. Metropolitan Police Department and deploying over 800 National Guard troops, citing crime-fighting reasons. (Photo by Bryan Dozier/NurPhoto) -
DUKAS_187405891_NUR
Weather In Puglia
The sunset brings wind and cooler air in Molfetta, Italy, on July 29, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone could attempt a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405888_NUR
Weather In Puglia
The sunset brings wind and cooler air in Molfetta, Italy, on July 29, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone could attempt a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405873_NUR
Weather In Puglia
The sunset brings wind and cooler air in Molfetta, Italy, on July 29, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone could attempt a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405870_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 26, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405867_NUR
Weather In Puglia
The sunset brings wind and cooler air in Molfetta, Italy, on July 29, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone could attempt a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405864_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 29, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405821_NUR
Weather In Puglia
A fisherman is at dawn in Molfetta, Italy, on July 26, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405819_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 25, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405781_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 25, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405743_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 25, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405740_NUR
Weather In Puglia
The sunrise occurs in Molfetta, Italy, on July 25, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405695_NUR
Weather In Puglia
The historic center of Molfetta at sunset in Molfetta, Italy, on July 24, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler, more pleasant phase lasts at least until the weekend and probably even longer. We have to wait until the middle of next week for a return to more intense heat, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405691_NUR
Weather In Puglia
The historic center of Molfetta at sunset in Molfetta, Italy, on July 24, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler, more pleasant phase lasts at least until the weekend and probably even longer. We have to wait until the middle of next week for a return to more intense heat, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405661_NUR
Weather In Puglia
A fisherman is at dawn in Molfetta, Italy, on July 23, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_187405659_NUR
Weather In Puglia
A fisherman is at dawn in Molfetta, Italy, on July 23, 2025. According to the latest calculations by the main international weather forecasting centers in Puglia, this cooler and more pleasant phase lasts at least until the weekend and probably even beyond. For a return to more intense heat, we have to wait until the middle of next week, when the African anticyclone attempts a new advance. (Photo by Davide Pischettola/NurPhoto) -
DUKAS_186626940_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Thr AI Sentry system
Sentry.
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186626939_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Thr AI Sentry system
Sentry.
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186626938_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Thr AI Sentry system
Sentry.
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186626937_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Information provided by the Maritime version of Sentry.
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186626935_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Sentry can monitor hundreds of sites around the world simultaneously.
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186626933_FER
AI detects miltary threats before they happen
Ferrari Press Agency
Sentry 1
Ref 16962
03/07/2025
See Ferrari text
Picture MUST credit: Maxar Technologies
A new global monitoring system which uses artificial intelligence is said to be able to predict potential military threats before they happen.
The system uses AI to fuse satellite data with decades of geographic information.
It produces what the company behind it calls “predictive intelligence” for strategic operations.
The dual system is called Sentry and has been developed by Sweden based satellite and space system company Maxar Technologies.
One version called Site focuses on key areas across land and sea, such as airports, ports, and urban centres.
A second called Maritime Sentry monitors vessel activities across large ocean regions, enabling real-time surveillance of thousands of square kilometres of ocean waters simultaneously.
Sentry automatically coordinates multiple satellite networks to maximise coverage allowing it to monitor hundreds of sites around the world, all at once.
It then fuses the collected data into a single, time-aligned dataset, making a quick and easy analysis.
Finally, AI and machine learning models compare this feed against Maxar’s archive, flagging suspicious activities such as sudden troop movements, an unexpected satellite launch, or disruptions at critical infrastructure.
OPS: Maxar Sentry on screen
Picture supplied by Ferrari
(FOTO: DUKAS/FERRARI PRESS) -
DUK10149278_026
NEWS - Ukraine-Krieg: Zerstörte Stadtteile in Borodyanka
Mandatory Credit: Photo by Ken Cedeno/UPI/Shutterstock (12912542b)
A Ukrainian Secret Service member walks through a neighborhood destroyed by Russian missiles, in advance of a visit from Romanian Prime Minister Nicolae Ciuca in Borodyanka, Ukraine, on Tuesday, April 26, 2022. U.S. Secretary of State Antony Blinken told Congress on Tuesday that the Biden administration hasn't seen any evidence that Russian President Vladimir Putin plans to end the war in Ukraine through diplomatic efforts.
Destroyed Neighborhoods in Borodyanka, Ukraine - 26 Apr 2022
(c) Dukas -
DUK10149278_023
NEWS - Ukraine-Krieg: Zerstörte Stadtteile in Borodyanka
Mandatory Credit: Photo by Ken Cedeno/UPI/Shutterstock (12912542e)
A Ukrainian Secret Service member walks through a neighborhood destroyed by Russian missiles, in advance of a visit from Romanian Prime Minister Nicolae Ciuca in Borodyanka, Ukraine, on Tuesday, April 26, 2022. U.S. Secretary of State Antony Blinken told Congress on Tuesday that the Biden administration hasn't seen any evidence that Russian President Vladimir Putin plans to end the war in Ukraine through diplomatic efforts.
Destroyed Neighborhoods in Borodyanka, Ukraine - 26 Apr 2022
(c) Dukas -
DUK10149278_012
NEWS - Ukraine-Krieg: Zerstörte Stadtteile in Borodyanka
Mandatory Credit: Photo by Ken Cedeno/UPI/Shutterstock (12912542k)
Secret service members guard in a destroyed neighborhood by Russian missiles, in advance of a visit from Romanian Prime Minister Nicolae Ciuca in Borodyanka, Ukraine, on Tuesday, April 26, 2022. U.S. Secretary of State Antony Blinken told Congress on Tuesday that the Biden administration hasn't seen any evidence that Russian President Vladimir Putin plans to end the war in Ukraine through diplomatic efforts.
Destroyed Neighborhoods in Borodyanka, Ukraine - 26 Apr 2022
(c) Dukas -
DUK10148755_011
NEWS - Ukraine-Krieg: Mariupol - Bilder einer zerstörten Stadt
Mandatory Credit: Photo by Story Picture Agency/Shutterstock (12864962h)
A line of buses placed by Ukrainian Azov Battalion defenders to impede the advance of Russian/ pro-Russian forces as they fight deeper into the city of Mariupol. Many people are trying to flee the city on foot into territory controlled by the Donetsk People's Republic. More than 200,000 people are trapped in the strategic city described by those who managed to escape as a "freezing hellscape riddled with dead bodies and destroyed buildings," Human Rights Watch said.
Credit: Maximilian Clarke / Story Picture Agency
War in Mariupol, Ukraine - 23 Mar 2022
(c) Dukas -
DUK10147805_012
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389l)
Shoppers bag their own groceries at the Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_011
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389k)
A shopper looks for bread at a Schnucks Supermarket as supply begins to deplete in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_010
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389j)
Shoppers clog an isle in the Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_009
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389i)
A shopper looks for bread at a Schnucks Supermarket as supply begins to deplete in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_008
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389h)
A shopper retrieves milk from the milk case at a Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_007
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389g)
Shoppers leave a Schnucks Supermarket, with groceries in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_006
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389f)
A shopper bags her own groceries at a Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_005
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389e)
A shopper retrieves milk from the milk case at a Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_004
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389d)
Shoppers leave a Schnucks Supermarket, with groceries in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_002
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389b)
A shopper retrieves milk from the milk case at a Schnucks Supermarket, stocking up in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10147805_001
NEWS - Einkäufer bereiten sich auf grossen Schneesturm vor, Richmond Heights, Missouri
Mandatory Credit: Photo by Bill Greenblatt/UPI/Shutterstock (12785389a)
Shoppers leave a Schnucks Supermarket, with groceries in advance of a big snow storm in Richmond Heights, Missouri on Tuesday, February 1, 2022. Forecasters predict the St. Louis area could see snow fall anywhere from 8 to 14 inches on Thursday.
Shoppers Prepare For Big Storm, Richmond Heights, Missouri, United States - 01 Feb 2022
(c) Dukas -
DUK10146772_002
FEATURE - Die schönste und grösste "goldene Halskette" der Welt
Mandatory Credit: Photo by Sipa Asia/Shutterstock (12632648e)
On December 2, 2021, Nanjing City, Jiangsu Province, the Zhongshan Scenic Area of ‚Ä‚ÄNanjing in the early winter season is full of forests, colorful and picturesque. From the air, the yellowed sycamore leaves on the cemetery road are like a string of Meiling Palace. "Golden Necklace" is so beautiful, ushering in the most beautiful viewing moment of the year.
Viewed from the air through a drone, rows of platanus trees form a collar. The Meiling Palace in Xuanwu District of Nanjing is like a gem inlaid at the end of the necklace, quietly nestling at the foot of the Purple Mountain. There are folk rumors that the Meiling Palace was a "birthday gift" from Chiang Kai-shek to Soong Meiling. Netizens called this "the world's best necklace" as Jiang Gong's romantic confession to his beloved wife. It is understood that the trees forming the "necklace" on the cemetery road were not planted in the same period.
According to records, the earliest construction budget of Meiling Palace was 260,000 silver dollars, but in the end it actually spent 320,000 silver dollars. The money was first advanced by the Army, Navy and Air Force Command, and later the Nanjing Municipal Finance Bureau also contributed part of the advance. The financial pit left by Meiling Palace for the two departments was finally filled by Chiang Kai-shek with the reimbursement of the total reserve fund of the state finance.
Due to disrepair, Meiling Palace started repairs in December 2012 and was completed in September 2013. The rows of fatons are layered on top of each other, and the shape is like a necklace, which is very spectacular. Netizens called it "the most awesome necklace in the world." These necklace-shaped platanus trees were not planted at the same time. The Fatong that forms the "collar" on the cemetery avenue was planted during the construction of the Zhongshan Cemetery from 1925 to 1929, and the Fatong that formed a "pendant" ..
(c) Dukas -
DUK10146772_001
FEATURE - Die schönste und grösste "goldene Halskette" der Welt
Mandatory Credit: Photo by Sipa Asia/Shutterstock (12632648d)
On December 2, 2021, Nanjing City, Jiangsu Province, the Zhongshan Scenic Area of ‚Ä‚ÄNanjing in the early winter season is full of forests, colorful and picturesque. From the air, the yellowed sycamore leaves on the cemetery road are like a string of Meiling Palace. "Golden Necklace" is so beautiful, ushering in the most beautiful viewing moment of the year.
Viewed from the air through a drone, rows of platanus trees form a collar. The Meiling Palace in Xuanwu District of Nanjing is like a gem inlaid at the end of the necklace, quietly nestling at the foot of the Purple Mountain. There are folk rumors that the Meiling Palace was a "birthday gift" from Chiang Kai-shek to Soong Meiling. Netizens called this "the world's best necklace" as Jiang Gong's romantic confession to his beloved wife. It is understood that the trees forming the "necklace" on the cemetery road were not planted in the same period.
According to records, the earliest construction budget of Meiling Palace was 260,000 silver dollars, but in the end it actually spent 320,000 silver dollars. The money was first advanced by the Army, Navy and Air Force Command, and later the Nanjing Municipal Finance Bureau also contributed part of the advance. The financial pit left by Meiling Palace for the two departments was finally filled by Chiang Kai-shek with the reimbursement of the total reserve fund of the state finance.
Due to disrepair, Meiling Palace started repairs in December 2012 and was completed in September 2013. The rows of fatons are layered on top of each other, and the shape is like a necklace, which is very spectacular. Netizens called it "the most awesome necklace in the world." These necklace-shaped platanus trees were not planted at the same time. The Fatong that forms the "collar" on the cemetery avenue was planted during the construction of the Zhongshan Cemetery from 1925 to 1929, and the Fatong that formed a "pendant" ..
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Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
Rex Features Ltd. do not claim any Copyright or License of the attached image
Mandatory Credit: Photo by REX/Shutterstock (10157635k)
Lilik Abdul Hamid, who is missing and feared dead following the deadly attack yesterday by white supremacist Australian killer Brenton Tarrant, 28, who is the main suspect for gunning down people inside two mosques in New Zealand. Lilik's family have appealed for information after he went missing in the wake of the attack.. Brenton appeared to have published a document before the attack outlining his intentions and in which he espoused far right and anti-immigrant ideology. Australian Prime Minister Scott Morrison described the man as an "extremist, right-wing" terrorist. Police Commissioner Bush confirmed that the man was not known in advance to either New Zealand or Australian security services.
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
DUKAS/REX/SHUTTERSTOCK DUKAS -
DUKAS_101345483_REX
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
Rex Features Ltd. do not claim any Copyright or License of the attached image
Mandatory Credit: Photo by REX/Shutterstock (10157635j)
Lilik Abdul Hamid, who is missing and feared dead following the deadly attack yesterday by white supremacist Australian killer Brenton Tarrant, 28, who is the main suspect for gunning down people inside two mosques in New Zealand. Lilik's family have appealed for information after he went missing in the wake of the attack.. Brenton appeared to have published a document before the attack outlining his intentions and in which he espoused far right and anti-immigrant ideology. Australian Prime Minister Scott Morrison described the man as an "extremist, right-wing" terrorist. Police Commissioner Bush confirmed that the man was not known in advance to either New Zealand or Australian security services.
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
DUKAS/REX/SHUTTERSTOCK DUKAS -
DUKAS_101345482_REX
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
Rex Features Ltd. do not claim any Copyright or License of the attached image
Mandatory Credit: Photo by REX/Shutterstock (10157635e)
Mucad Ibrahim, aged three, who has been identified as one of the victims killed yesterday by white supremacist Australian killer Brenton Tarrant, 28, who is the main suspect for gunning down people inside two mosques in New Zealand. Mucad Ibrahim, pictured here on an "open" Facebook page, was attending Friday prayers with his dad and older brother Abdi when a gunman stormed the Masjid Al Noor mosque on Deans Avenue and opened fire.. Brenton appeared to have published a document before the attack outlining his intentions and in which he espoused far right and anti-immigrant ideology. Australian Prime Minister Scott Morrison described the man as an "extremist, right-wing" terrorist. Police Commissioner Bush confirmed that the man was not known in advance to either New Zealand or Australian security services.
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
DUKAS/REX/SHUTTERSTOCK DUKAS -
DUKAS_101345481_REX
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
Rex Features Ltd. do not claim any Copyright or License of the attached image
Mandatory Credit: Photo by REX/Shutterstock (10157635i)
Lilik Abdul Hamid, who is missing and feared dead following the deadly attack yesterday by white supremacist Australian killer Brenton Tarrant, 28, who is the main suspect for gunning down people inside two mosques in New Zealand. Lilik's family have appealed for information after he went missing in the wake of the attack.. Brenton appeared to have published a document before the attack outlining his intentions and in which he espoused far right and anti-immigrant ideology. Australian Prime Minister Scott Morrison described the man as an "extremist, right-wing" terrorist. Police Commissioner Bush confirmed that the man was not known in advance to either New Zealand or Australian security services.
Mosque shootings, Christchurch, New Zealand - 15 Mar 2019
DUKAS/REX/SHUTTERSTOCK DUKAS -
