Target 67P/C-G gif

 

Target 67P/C-G

https://www.esa.int/Science_Exploration/Space_Science/Rosetta

https://sci.esa.int/web/rosetta/-/14615-comet-67p

Assembled by Barley Culiner with GIMP

ROSETTA

MISSION	HOST	INSTRUMENT	PRINCIPAL INVESTIGATOR(S)
Rosetta	Orbiter	ALICE	S. A. Stern (SwRI, Boulder, USA)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSIMA	M. Hilchenbach (MPS, Katlenburg-Lindau, Germany)
		GIADA	A. Rotundi (Università degli studi di Napoli “Parthenope”)
		MIDAS	M. Bentley (IWF, Graz, Austria)
		MIRO	M. Hofstadter (NASA/JPL, Pasadena, USA)
		NAVCAM	The NAVCAM is commanded by the Rosetta Flight Dynamics and Flight Control Teams at ESOC. The data were processed and archived by the Rosetta Science Ground Segment (SGS) and the Planetary Science Archive Team (PSA) at ESAC.
		OSIRIS	H. Sierks (MPS, Goettingen, Germany)
		ROSINA	K. Altwegg (University of Bern, Switzerland)
		RPCICA	H. Nilsson (Swedish Institute of Space Physics, Kiruna, Sweden)
		RPCIES	J. Burch (SwRI, San Antonio, TX., USA)
		RPCLAP	A. Eriksson (Swedish Institute of Space Physics, Uppsala, Sweden)
		RPCMAG	K-H Glassmeier (TU Braunschweig, Germany)
		RPCMIP	P. Henri (LPC2E/CNRS, Orléans, France)
		RSI	M. Paetzold (University of Cologne, Cologne, Germany)
		VIRTIS	F. Capaccioni (IAPS-INAF, Rome, Italy)
	Philae Lander	APXS	G. Klingenhoefer (Gutenberg-University, Mainz, Germany)
		CIVA	J.P. Bibring (Institut d'Astrophysique Spatiale, France)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSAC	F. Goesmann (MPS, Goettingen, Germany)
		MUPUS	T. Spohn (DLR, Germany)
		PTOLEMY	I. Wright (Open University, UK)
		ROLIS	S. Mottola (DLR, Germany)
		ROMAP	H-U. Auster (Technische Universitaet Braunschweig, Germany)
		SD2	A. Ercoli-Finzi, (Politecnico di Milano, Italy)
		SESAME	M. Knapmeyer (DLR, Germany)
	Ancillary	Shape Model	The shape models have been produced using data from the OSIRIS and NAVCAM instruments. Consult the CITATION_DESC in the label of each product you use and make sure that you cite / acknowledge the relevant data producer listed there.

Target 67P/C-G gif

Target 67P/C-G

https://www.esa.int/Science_Exploration/Space_Science/Rosetta

https://sci.esa.int/web/rosetta/-/14615-comet-67p

Assembled by Barley Culiner with GIMP

ROSETTA

MISSION	HOST	INSTRUMENT	PRINCIPAL INVESTIGATOR(S)
Rosetta	Orbiter	ALICE	S. A. Stern (SwRI, Boulder, USA)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSIMA	M. Hilchenbach (MPS, Katlenburg-Lindau, Germany)
		GIADA	A. Rotundi (Università degli studi di Napoli “Parthenope”)
		MIDAS	M. Bentley (IWF, Graz, Austria)
		MIRO	M. Hofstadter (NASA/JPL, Pasadena, USA)
		NAVCAM	The NAVCAM is commanded by the Rosetta Flight Dynamics and Flight Control Teams at ESOC. The data were processed and archived by the Rosetta Science Ground Segment (SGS) and the Planetary Science Archive Team (PSA) at ESAC.
		OSIRIS	H. Sierks (MPS, Goettingen, Germany)
		ROSINA	K. Altwegg (University of Bern, Switzerland)
		RPCICA	H. Nilsson (Swedish Institute of Space Physics, Kiruna, Sweden)
		RPCIES	J. Burch (SwRI, San Antonio, TX., USA)
		RPCLAP	A. Eriksson (Swedish Institute of Space Physics, Uppsala, Sweden)
		RPCMAG	K-H Glassmeier (TU Braunschweig, Germany)
		RPCMIP	P. Henri (LPC2E/CNRS, Orléans, France)
		RSI	M. Paetzold (University of Cologne, Cologne, Germany)
		VIRTIS	F. Capaccioni (IAPS-INAF, Rome, Italy)
	Philae Lander	APXS	G. Klingenhoefer (Gutenberg-University, Mainz, Germany)
		CIVA	J.P. Bibring (Institut d'Astrophysique Spatiale, France)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSAC	F. Goesmann (MPS, Goettingen, Germany)
		MUPUS	T. Spohn (DLR, Germany)
		PTOLEMY	I. Wright (Open University, UK)
		ROLIS	S. Mottola (DLR, Germany)
		ROMAP	H-U. Auster (Technische Universitaet Braunschweig, Germany)
		SD2	A. Ercoli-Finzi, (Politecnico di Milano, Italy)
		SESAME	M. Knapmeyer (DLR, Germany)
	Ancillary	Shape Model	The shape models have been produced using data from the OSIRIS and NAVCAM instruments. Consult the CITATION_DESC in the label of each product you use and make sure that you cite / acknowledge the relevant data producer listed there.

Target 67P/C-G

 

Target 67P/C-G

https://www.esa.int/Science_Exploration/Space_Science/Rosetta

https://sci.esa.int/web/rosetta/-/14615-comet-67p

Assembled by Barley Culiner with GIMP

Mission Rosetta

MISSION	HOST	INSTRUMENT	PRINCIPAL INVESTIGATOR(S)
Rosetta	Orbiter	ALICE	S. A. Stern (SwRI, Boulder, USA)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSIMA	M. Hilchenbach (MPS, Katlenburg-Lindau, Germany)
		GIADA	A. Rotundi (Università degli studi di Napoli “Parthenope”)
		MIDAS	M. Bentley (IWF, Graz, Austria)
		MIRO	M. Hofstadter (NASA/JPL, Pasadena, USA)
		NAVCAM	The NAVCAM is commanded by the Rosetta Flight Dynamics and Flight Control Teams at ESOC. The data were processed and archived by the Rosetta Science Ground Segment (SGS) and the Planetary Science Archive Team (PSA) at ESAC.
		OSIRIS	H. Sierks (MPS, Goettingen, Germany)
		ROSINA	K. Altwegg (University of Bern, Switzerland)
		RPCICA	H. Nilsson (Swedish Institute of Space Physics, Kiruna, Sweden)
		RPCIES	J. Burch (SwRI, San Antonio, TX., USA)
		RPCLAP	A. Eriksson (Swedish Institute of Space Physics, Uppsala, Sweden)
		RPCMAG	K-H Glassmeier (TU Braunschweig, Germany)
		RPCMIP	P. Henri (LPC2E/CNRS, Orléans, France)
		RSI	M. Paetzold (University of Cologne, Cologne, Germany)
		VIRTIS	F. Capaccioni (IAPS-INAF, Rome, Italy)
	Philae Lander	APXS	G. Klingenhoefer (Gutenberg-University, Mainz, Germany)
		CIVA	J.P. Bibring (Institut d'Astrophysique Spatiale, France)
		CONSERT	W. Kofman (LPG, Grenoble, France)
		COSAC	F. Goesmann (MPS, Goettingen, Germany)
		MUPUS	T. Spohn (DLR, Germany)
		PTOLEMY	I. Wright (Open University, UK)
		ROLIS	S. Mottola (DLR, Germany)
		ROMAP	H-U. Auster (Technische Universitaet Braunschweig, Germany)
		SD2	A. Ercoli-Finzi, (Politecnico di Milano, Italy)
		SESAME	M. Knapmeyer (DLR, Germany)
	Ancillary	Shape Model	The shape models have been produced using data from the OSIRIS and NAVCAM instruments. Consult the CITATION_DESC in the label of each product you use and

Juno PERIJOVE 65

 

2024-09-20 05:30 UT

 NASA / SwRI / MSSS

Mission Phase : PERIJOVE 65

PJ65 Departure Movie raw image frames

Assembled by Barley Culiner with GIMP

https://science.nasa.gov/mission/juno/

Mars Perseverance Sol 1285: Left Mastcam-Z Camera gif

 eclipse

Mars Perseverance Sol 1285: Left Mastcam-Z Camera gif

NASA's Mars Perseverance rover acquired these images using its Left Mastcam-Z camera. Mastcam-Z is a pair of cameras located high on the rover's mast.

Images acquired on Sept. 30, 2024 (Sol 1285) at the local mean solar time of 11:09:40 to 11:10:26.

Image Credit: NASA/JPL-Caltech/ASU

Assembled by Barley Culiner with GIMP

Salvatore Cezar Pais

Piezoelectricity-induced High Temperature Superconductor

https://patents.google.com/patent/US20190348597A1/

Craft Using an Inertial Mass Reduction Device

https://patents.google.com/patent/US20170313446A1/

Plasma Compression Fusion Device

https://patents.google.com/patent/US20190295733A1/

High Frequency Gravitational Wave Generator

https://patents.google.com/patent/US20180229864A1/

Electromagnetic field generator and method to generate an electromagnetic field

https://patents.google.com/patent/US20170025935A1/

Laser augmented turbojet propulsion system

https://patents.google.com/patent/US20060016169A1/

Tosint (Telegram OSINT)

this looks amazing!

https://github.com/drego85/tosint

Tosint (Telegram OSINT) is a tool designed to extract valuable information from Telegram bots and channels. It is ideal for security researchers, investigators, and anyone interested in gathering insights from Telegram entities. Using OSINT techniques, Tosint can uncover essential details about bots and associated channels, offering a deeper understanding of their structure and activity.

Features

Tosint allows you to extract the following information:

Bot Information: First Name, Username, User ID, Status, and whether the bot can read group messages.

Chat Information: Chat Title, Type (group or channel), ID, Username, Invite Link.

Additional Information:

Number of users in the chat.

Details of chat administrators, including their roles (e.g., admin, member).

Use Cases

Tosint is a valuable tool for cybersecurity researchers involved in the analysis of malware or phishing kits. Cybercriminals increasingly use Telegram to collect information stolen from victims, such as: Malware logs, Login Credentials, Credit or Debit Card details.

During investigations, by identifying the Token and Chat ID used by criminals (often found through malware or phishing kit analysis), Tosint enables the collection of valuable information to monitor the criminal activities. This helps researchers gain a clearer understanding of the infrastructure used by attackers, supporting a timely and targeted response to emerging threats.

Who Uses Tosint?

Tosint has been adopted by security researchers, investigators, and professionals in the field of open-source intelligence (OSINT) to gather insights from Telegram bots and channels.

I'm proud to mention that Tosint is also used by law enforcement agencies for investigative purposes, further demonstrating its practical value in real-world applications.

Example Usage

To use Tosint, you can either provide the Telegram Token and Chat ID interactively, or pass them as command-line arguments.Tosint (Telegram OSINT) is a tool designed to extract valuable information from Telegram bots and channels. It is ideal for security researchers, investigators, and anyone interested in gathering insights from Telegram entities. Using OSINT techniques, Tosint can uncover essential details about bots and associated channels, offering a deeper understanding of their structure and activity.

Features

Tosint allows you to extract the following information:

Bot Information: First Name, Username, User ID, Status, and whether the bot can read group messages.

Chat Information: Chat Title, Type (group or channel), ID, Username, Invite Link.

Additional Information:

Number of users in the chat.

Details of chat administrators, including their roles (e.g., admin, member).

Use Cases

Tosint is a valuable tool for cybersecurity researchers involved in the analysis of malware or phishing kits. Cybercriminals increasingly use Telegram to collect information stolen from victims, such as: Malware logs, Login Credentials, Credit or Debit Card details.

During investigations, by identifying the Token and Chat ID used by criminals (often found through malware or phishing kit analysis), Tosint enables the collection of valuable information to monitor the criminal activities. This helps researchers gain a clearer understanding of the infrastructure used by attackers, supporting a timely and targeted response to emerging threats.

Who Uses Tosint?

Tosint has been adopted by security researchers, investigators, and professionals in the field of open-source intelligence (OSINT) to gather insights from Telegram bots and channels.

I'm proud to mention that Tosint is also used by law enforcement agencies for investigative purposes, further demonstrating its practical value in real-world applications.

Example Usage

To use Tosint, you can either provide the Telegram Token and Chat ID interactively, or pass them as command-line arguments.

Mars Perseverance Sol 1282: Left Navigation Camera (Navcam) gif

 dust devil on right

Mars Perseverance Sol 1282: Left Navigation Camera (Navcam) gif

NASA's Mars Perseverance rover acquired these images using its onboard Left Navigation Camera (Navcam). The camera is located high on the rover's mast and aids in driving.

Images acquired on Sept. 28, 2024 (Sol 1282) at the local mean solar time of 14:49:35 to 14:50:58.

Image Credit: NASA/JPL-Caltech

Assembled by Barley Culiner with GIMP

cropped and enlarged

Sol 4316: Mast Camera (Mastcam) stitch

 

Sol 4316: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4316 (2024-09-26T19:02:52.000Z) to (2024-09-26T19:07:15.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

Additional editing with GIMP

Bug and bird sounds near Fonthill

Bug and bird sounds near Fonthill

https://www.mercermuseum.org/about/fonthill-castle/

Mars Perseverance Sol 1280: Right Mastcam-Z Camera stitch

https://www.gigapan.org/gigapans/236040

Mars Perseverance Sol 1280: Right Mastcam-Z Camera stitch

NASA's Mars Perseverance rover acquired these images using its Right Mastcam-Z camera. Mastcam-Z is a pair of cameras located high on the rover's mast.

Images acquired on Sept. 25, 2024 (Sol 1280) at the local mean solar time of 12:58:41 to 13:05:42.

Image Credit: NASA/JPL-Caltech/ASU

Assembled by Barley Culiner with Microsoft ICE

Sol 4314: Mast Camera (Mastcam) stitch

 

Sol 4314: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4314 (2024-09-24T16:41:14.000Z) to (2024-09-24T16:43:15.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

Sol 4314: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4314 (2024-09-24T16:38:20.000Z) to (2024-09-24T16:40:40.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

Sol 4314: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4314 (2024-09-24T17:31:58.000Z) to (2024-09-24T17:32:35.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

Sol 4314: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4314 (2024-09-24T17:28:22.000Z) to (2024-09-24T17:31:21.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

Sol 4314: Mast Camera (Mastcam) stitch

Images taken by MAST_RIGHT onboard NASA's Mars rover Curiosity on Sol 4314 (2024-09-24T17:33:52.000Z) to (2024-09-24T17:35:48.000Z)

Credits: NASA/JPL-Caltech/MSSS

Assembled by Barley Culiner with Microsoft ICE

AI/ML Education Series Part 1 & 2

AI/ML Education Series Part 1 - 9/10/24 AI-ML Astrobiology

AI/ML Education Series Part 2 - 9/24/24 AI-ML Astrobiology

Analytics for discovery of private data

Analytics for discovery of private data

Ultrasonic in video

Flashing in video

Audio and video Evercookie used

Non observable media output cues to be picked up by smartphone, smartwatch, or other nearby devices

.......

Air gap ineffective under x meters

===========

https://en.wikipedia.org/wiki/Evercookie

https://github.com/samyk/evercookie/blob/master/index.html

https://barleysarthistory.blogspot.com/2024/09/blog-post.html

=============

https://www.intelligence.senate.gov/sites/default/files/hearings/95mkultra.pdf

https://drive.google.com/file/d/1VDI3phU4XRyK3b7TWdkZIl17iKV2D5cu/view?usp=drive_link

https://www.cia.gov/readingroom/docs/project%20mk-ultra%5B15545700%5D.pdf

https://drive.google.com/file/d/1Gst4tVt3Q3MzzHOggUAN16BgW3upbEIV/view?usp=drive_link

Microsoft & IBM Completed learning

 

https://learn.microsoft.com/en-us/

https://skills.yourlearning.ibm.com/

IBM Completed learning

Kentaurus project

Kentaurus project 

Quantum communication 

Split photon, half silvered mirror

Laser sail/propulsion

Quantum entangled laser for communication

Instantaneous communication

 98+ towards propulsion, remainder for communication

=====

Super-resolved quantum ghost imaging

https://www.nature.com/articles/s41598-022-14648-2

Mars Perseverance Sol 1277: WATSON Camera

desert varnish and glass (similar to moldavite)

Mars Perseverance Sol 1277: WATSON Camera

NASA's Mars Perseverance rover acquired this image using its SHERLOC WATSON camera, located on the turret at the end of the rover's robotic arm.

This image was acquired on Sept. 22, 2024 (Sol 1277) at the local mean solar time of 15:14:16.

Image Credit: NASA/JPL-Caltech