omniomni/omni-engineering huggingface dataset:
Lourdes Vega. Lourdes Vega Fernández (Villanueva del Fresno, Badajoz, 1965) is a Spanish scientist, specialist on molecular thermodynamics, clean energy and sustainable products, focused on CO2 capture and utilization, hydrogen production, storage, transportation and utilization, sustainable cooling systems, and water treatment.

Academic and research information 
Vega has a Ph.D in Theorical Physics from the University of Seville (Spain) and she is a Professor in Khalifa University (Abu Dhabi, UAE) at the Chemical Engineering department.

She is an expert in molecular modeling and her research in models to predict the thermodynamical behaviour of chemical compounds and the development of new materials to separate gases and contaminants led to a large number of scientific publication in high-impact journals.

Vega was a professor of Chemical Engineering at the University of Rovira i Virgili between 1995 and 2003. Later, she joined the Spanish National Research Council's Institute of Material Science of Barcelona (ICMAB).

In 2017, Vega entered the Academy of Sciences of Granada She is also an elected member of the Mohammed bin Rashid Academy of Scientists

Vega was Global Director of Technology in Agro-Food, Water Treatment and CO2 Uses of Air Products, combining that position with that of director of R&D of Carburos Metálicos S.A., and with the direction of the MATGAS R&D center at the Autonomous University of Barcelona. Since 2016 she directs Khalifa University's Research and Development Center for Carbon Dioxide and Hydrogen (RICH).

Merits, recognitions and distinctions 
She received the Physics, Innovation and Technology Award in 2013 for “the outstanding, original and creative way in which she has managed to bring theoretical and computational research in statistical physics, a branch of basic physics, to the industrial world.”

She was awarded the United Arab Emirates Medal for Scientific Excellence in 2020 for her work Science for Sustainable Products. She is the first non-Arab person to achieve this distinction

The American Institute of Chemical Engineers elected her as a fellow in 2022. In 2023, Vega entered the Spanish Royal Academy of Sciences as a corresponding member.

She has published more than 370 scientific articles, has 5 patents, and is the author of the popular book on the uses of CO2, whose title is CO2 as a resource. From capture to industrial uses.

Vega is a member of the boards of directors of the chemical company Ercros and water services company Canal de Isabel II

References

External links 
 Disertation of Vega at the BBVA Award ceremony, Premio Física Innovación y Tecnología 2013
 Admission disertation at the Spanish Royal Academy of Sciences, Un planeta en busca de energía sostenible, segura y asequible

Women essayists
21st-century Spanish women
20th-century Spanish women

1965 births
Living people
Kevin Fu. Kevin Fu is a professor of computer science in the Khoury College of Computer Sciences at Northeastern University known for his contributions to computer security and security for medical devices. Previously, he was a professor at the University of Michigan.

Education 
Fu received his SB in Computer Science in 1998 and MEng in Electrical Engineering and Computer Science in 1999, both from Massachusetts Institute of Technology. Fu completed his PhD as well at MIT in 2005 with a thesis titled "Integrity and access control in untrusted content distribution networks" advised by Ron Rivest and Frans Kaashoek.

Awards 

 Fellow of the American Association for the Advancement of Science (2022)
 ACM Fellow (2022) 
 IEEE Fellow (2018) 
 NSF Career Award (2009 - 2013)

References 

Massachusetts Institute of Technology alumni
Northeastern University faculty
University of Michigan faculty
Living people
Fellows of the IEEE
2022 fellows of the Association for Computing Machinery
Fellows of the American Association for the Advancement of Science
Year of birth missing (living people)
Active flow network. An active flow network is a graph with edges and nodes, where particles inside this graph are propelled by an active mechanism. This type of network  is used to study the motion of molecules in biological medium. Examples are organelles, including the Endoplasmic Reticulum (ER). The mechanism of the flow between nodes is actively driven, as opposed to passive transport by diffusion. Active transport requires energy consumption, found in the form of ATP in biological systems. The slime mold Physarum polycephalum is also growing as a network, where motion inside is driven an active  flow.

Active flow network in transportation
Unidirectional transportation is reminiscent of trains, cars or communication (internet, telephone), where there is a limiting capacity due to maximal amount of commodities that can travel inside a branch connecting two nodes.

Active flow networks in the body
Arteries and vein generate a network where the blood flow is pulsed by the heart contraction cycle. The flow is often model using complex fluid mechanics (Navier-stokes equations) that could be coupled to the structure. Red blood cells are also transported inside these networks  and high pressure resistance could be due in part to red blood cell trafficking jam but also to capillary (largest pressure drops occur in the smallest vessels), especially in the brain. Blood flow is an active process further modulated by neuronal activity.

Active flow networks in electronics
In electronics, diodes or resistances form network consuming electrical energy. Theory based on mathematical graph theory and physicochemical reaction rate theory are used to quantify mass-conserving active flow networks. Diode networks have also been introduced in percolation problems by constructing neighbouring lattice sites that transmit connectivity or information in one direction only

Properties of active flow networks inside the endoplasmic reticulum  
Active flow networks inside the endoplasmic reticulum are represented by a graph (G,N), with N nodes connected by junctions. Two time scales leads to two opposite properties, as edge can switch at random time from one direction only to the opposite one: 1- time for an edge to switch from direction to the opposite and 2-the time to move from one edge to the next one. This leads to two phenomena:

Trapping a particle was already in the node and one edge switches an even number of times between the instant of transitions, or the particle was previously in the node and had switched to a neighbouring node before returning to the considered node.

Backtracking a particle can jump back to the node it came from, thus wasting time by visiting again the previous node.  However, in the network, this probability is affected by the direction of the edge.

Under these two effects (trapping and backtracking),  the network exploration is slower when compared to a unidirectional network, where such situation does not occur. AFN models can be used to intert data extracted by fluorescence recovery after photobleaching,  single particle trajectories or photoactivation.

References 

Graphs
Intel Level Up. The Intel Level Up was a series of annual video game competitions organised by Intel to support independent video game development, with winning games receiving monetary rewards in addition to the award. The first competition, titled the Intel Game Demo Contest, was held in 2006. It was restarted in 2009 as the Intel Level Up Game Developer Contest. The competition has not been held after 2017.

A distinctive feature of the contest was the participation of game-industry luminaries as judges. At different times, the judges were Sid Meier, Will Wright, Chris Avellone, Todd Howard, Tim Schafer, Chris Taylor, etc.

Winners

2006

2007

2008

2009
Judges: Sid Meier, Will Wright, Rick Raymo, Brad Wardell, Christophe Canon, Mathieu Mazerolle, Mary Beth Haggerty, Dmitry Oganezov, Gina Bovara, Jeff LaFlam, Brad Werth, Steve Winburn.

2010
Judges: Chris Avellone, Vic Davis, Todd Hollenshead, Todd Howard, Rod Humble, Raph Koster, Rick Raymo, Bill Roper, Tim Schafer, Adam Sessler, Jeff Vogel.

2011
Judges: Andy Schatz, Jeff Vogel, Wolfgang Engel, Chris Taylor, Jim Rossignol.

2013
Judges: Andy Schatz, Wolfgang Engel, Rami Ismail, Jordan Weisman.

2014
Judges: Chris Avellone, Wolfgang Engel, Rami Ismail, Marc Saltzman, Tim Schafer, Chris Taylor, Nathan Vella, Tyrone Rodriguez.

2015
Judges: Chris Avellone, Kate Edwards, Wolfgang Engel, Rami Ismail, Tim Schafer, Chris Taylor, Tyrone Rodriguez.

2016
Judges: Chris Avellone, Kate Edwards, Wolfgang Engel, Rami Ismail, Tim Schafer, Tyrone Rodriguez, Anne Toole.

2017
Judges: Chris Avellone, Kate Edwards, Wolfgang Engel, Rami Ismail, Tim Schafer, Gary Rowe, Tyrone Rodriguez, Laila Shabir.

See also
Indie Game Challenge

References

Video game development
Video game development competitions
Indie games
Video game awards
North Bay Air Museum. The North Bay Air Museum is an aviation museum located at Sonoma Valley Airport in Sonoma, California.

History

Background 
Chris Prevost became interested in aviation after visiting the Sonoma Valley Airport on a field trip. In 1984, he took over the Vintage Aircraft Company, which had been founded in 1975, and began offering rides in Stearman biplanes. Eventually, he became co-owner of the airport in 2002 and bought it outright in 2008. The following year he flew a P-40 that had been purchased as a wreck from New Zealand and under restoration since 2004.

Establishment 
Prevost began planning for the California Aviation Heritage Museum in June 2010.

Collection 

 Aviat Husky
 Beechcraft D18S
 Christen Eagle
 Curtiss P-40N Warhawk – on loan
 de Havilland Canada DHC-1 Chipmunk
 North American P-51D Mustang – on loan
 Piper L-4B Grasshopper
 Pipistrel Virus

Programs 
The museum offers rides in two aircraft on loan to it.

References

External links 
 
 Vintage Aircraft Company

Aerospace museums in California
Military and war museums in California
Museums in Sonoma County, California
Mikoyan-Gurevich PBSh-1. The Mikoyan-Gurevich PBSh-1 () was a proposed attack aircraft designed in the Soviet Union.

Design and development 
Design work of the PBSh-1 began in January 1940, with the preliminary design by N. Z. Matyuk being approved on 24 July of that year.  The aircraft was to have an cantilever inverted gull wing in a low-wing configuration and was to be powered by either a single Mikulin AM-37 or  Mikulin AM-38 engine.  The engine, single-seat cockpit, as well as other sensitive parts would have been protected by armor plating weighing a total of  – about 30% of the aircraft's weight – which would be integrated into the aircraft's structure.  The center fuselage and wing section were to be of welded steel-tube construction, while the outer wing panels and rear fuselage were to be wooden.  The aircraft was to have conventional landing gear, with the main gear being directly inspired by that of the I-220.  Armament was to consist of two  Volkov-Yartsev VYa-23 cannons and six  ShKAS machine guns; all firing outside the propeller arc.  The bomber variant would also be capable of carrying a wide variety of demolition or incendiary bombs inside the fuselage bay, plus two bombs under the wings for dive bombing.  Work on the PBSh-1 ended as soon as the competing Ilyushin Il-2 was approved for production.

With the cancellation of the PBSh-1, OKB Mikoyan and Gurevich began work on a derivative designated PBSh-2 in July 1940.  Unlike its predecessor, the PBSh-2 was to be a biplane, specifically a reverse sesquiplane, with the designers reasoning that biplanes were easier to fly and offered better maneuverability and stability than a monoplane.  The large lower wing was to have light dihedral, large ailerons, and two-segment flaps.  The smaller upper wing was to be mounted on top of the canopy and have a 12 degree forward sweep.  Both wings were to be braces by I-type struts.  The engine, center wing section, armor, armament, landing gear, and cockpit would have been identical to the PBSh-1, apart from a jettisonable side door for the pilot.  By the end of 1940, all work on the PBSh-2 was canceled due to the lack of available factories to produce the aircraft.

Variants 
PBSh-1
Original monoplane design to compete with the Ilyushin Il-2.  Not built.
PBSh-2
Biplane development of the PBSh-1.  Not built.
MiG-4
Alternative designation of the PBSh-1 used in some Mikoyan and Gurevich documents.
MiG-6
Alternative designation of the PBSh-2 used in some Mikoyan and Gurevich documents.

Specifications (PBSh-1, estimated)

References

Bibliography 

PBSh-1
Single-engined tractor aircraft
Low-wing aircraft
1940s Soviet attack aircraft
1940s Soviet bomber aircraft
Abandoned military aircraft projects of the Soviet Union
Aircraft with retractable conventional landing gear
Single-engined piston aircraft
Amir Ronen. Amir Ronen (born 1965) is an Israeli computer scientist.

Biography 
Ronen studied at the Hebrew University of Jerusalem, where he earned a B.Sc., M.Sc., and Ph.D. successively. He then pursued postdoctoral research at Stanford University and the University of California, Berkeley. After spending a few years as an assistant professor at the Technion, he joined the IBM Research Center in Haifa.

In 2012, Ronen received the Gödel Prize, along with Elias Koutsoupias, Christos Papadimitriou, Tim Roughgarden, Noam Nisan, and Eva Tardos, for initiating and developing a new field of research called Algorithmic Mechanism Design (AMD). This field integrates concepts from theoretical economics and game theory (Nash equilibrium) with computer science concepts such as algorithm design and complexity theory.

Ronen's work spans various areas, including algorithmic game theory, social network analysis, machine learning, and strategic analysis.

Research Papers 

 Algorithmic Mechanism Design. Games and Economic Behavior 35 (2001): 166–196.
 Computationally Feasible VCG Mechanisms.
 Algorithms For Rational Agents
 Mechanism design with incomplete languages
 Optimal Auctions are Hard, (April 29, 2002)
 On Approximating Optimal Auctions

References

External links 

 Research resource: Digital Bibliography & Library Project
 Amir Ronen, robotics.stanford.edu
 CV Amir Ronen at Stanford Artificial Intelligence

Israeli computer programmers
Gödel Prize laureates
1965 births
Hebrew University of Jerusalem alumni
Living people
Imagry. Imagry is an autonomous driving (AD) software provider that has created a mapless driving system. It uses bio-inspired technology that combines real-time vision-based perception and imitation-learning artificial intelligence (AI) for a driving decision-making network that can be installed on passenger cars as well as autonomous buses.

History 
Imagry was founded in 2015 by Adham Ghazali and Majed Jubeh and has been specializing in the automotive sector since 2018. At the beginning of 2019, Imagry released its first version of its mapless autonomous driving software. Company's first funding was obtained in May 2016. To date the company has raised funding of $46M in total.

In 2023, Imagry won a tender to provide the first autonomous bus in Israel, deployed at the largest medical center in the Middle East (Sheba Tel HaShomer City of Health), followed by a second tender win for the first autonomous bus on a public road in Israel.

The company also partnered with Continental to integrate part of Imagry's technology in the Continental Autonomous Parking solution. In 2023, the company received the Software Sensor Award from ICA (Innovation Connectivity Autonomous).

In 2023, Imagry received Frost & Sullivan's the 2023 Enabling Technology Leadership Award - identified as best in class in the European autonomous driving solutions industry.

Operations 
Imagry specializes in providing mapless driving technologies tailored to enable Level 3-4 autonomous vehicles. The company's platform is designed to operate independently of hardware specifications, utilizing high-resolution visible spectrum (VIS) cameras. Imagry's software operates in real-time and relies on a vision-based perception network, eliminating the need for high-definition (HD) maps.

Imagry operates with headquarters in San Jose, California and an additional development center in Haifa, Israel. Since 2019, it has been operating a fleet of vehicles equipped with its autonomous driving software on public roads in the U.S., Germany, Japan, and Israel.

Eran Ofir serves as the CEO of Imagry.

Technology 
Imagry collects and processes peripheral information from several cameras installed on the vehicle. This data is sent to a computer in the vehicle whose purpose is to perform, in real-time, the actions that will allow the vehicle to drive autonomously. This technology relies on cost-effective sensors, negating the necessity for a persistent satellite connection or extensive investments in digital HD mapping of roads and cities.

The Imagry solution uses strong machine learning, AI, spatial DCNN (Deep Convolutional Neural Networks), and learning-based IP to plan the motion of the vehicle.

References 

Software companies established in 2015
Companies based in San Jose, California
Bandar Abbas Oil Refinery. Bandar Abbas Oil Refinery, also known as Refinery No. 8, is situated near the city of Bandar Abbas in southern Iran.

History 
The refinery was conceptualized in the 1960s because Bandar Abbas's location, which is strategically situated near the Persian Gulf, was chosen for its deep-water access and proximity to crude oil reserves.

A partnership between Snamprogetti and Chiyoda Corporation led to the construction of the refinery, with the Italian company responsible for engineering, procurement, and project supervision. It covers an area of 7 square kilometers, and processes heavy crude oil along with condensate transported from the Sarkhoon gas processing complex.

As of 2020, it is the third-largest refinery in Iran after Abadan and Isfahan refineries. Currently, its stated capacity exceeds 320,000 barrels per day (BPD).

Accidents 

 In September 2023, during emergency repairs, five maintenance workers were involved in an accident, and one worker died.

Gallery

References 

Oil refineries in Iran
Buildings and structures in Bandar Abbas
Paola Mello. Paola Mello (born 1958) is an Italian computer scientist whose research in artificial intelligence concerns topics including process mining, event monitoring, and logic programming, with applications in health, transportation, and business. She is a professor in the Department of Computer Science and Engineering at the University of Bologna, and the former president of the .

Education and career
Mello was born in Bologna in 1958. She earned a laurea in electrical engineering from the University of Bologna in 1982, and completed a doctorate there in 1989, in electrical engineering and computer science.

She has worked at the University of Bologna since 1983, with the exception of short stints at the University of Bari and University of Ferrara. She headed the Department of Computer Science and Engineering from 2012 to 2015.

She was president of the Italian Association for Artificial Intelligence (AIxIA) from 2010 to 2014.

Recognition
Mello was named to the Academy of Sciences of the Institute of Bologna in 2016.  She is a Fellow of the European Association for Artificial Intelligence, elected in 2017.

References

External links
Home page

1958 births
Living people
Italian computer scientists
Italian women computer scientists
University of Bologna alumni
Academic staff of the University of Bologna
Fellows of the European Association for Artificial Intelligence
ELMED interconnector. The ELMED interconnector, also known as the Tunisia-Italy interconnector, is a planned 200 km, 600 MW high-voltage direct current submarine power cable between Italy and Tunisia.

Route
The cable will run from the Partanna electrical substation in Trapani, Sicily in Italy to a newly built substation in Menzel Temime, Cape Bon in Tunisia with a maximum depth of 800 meters.

Technical description
The undersea cable is 200 kilometers long and has a capacity of 600 MW. While the undersea cable is 200 kilometers, another 20 kilometers of cable will be underground. The entire project is expected to cost €850 million.

Project participants
STEG and Terna Group started planning the project in 2003. The World Bank provided Tunisia with $268.4 million of financing in 2023.

References

External links

Electrical interconnectors to and from the Synchronous Grid of Continental Europe
HVDC transmission lines
Italy–Tunisia relations
Proposed electric power infrastructure in Africa
Proposed electric power infrastructure in Europe
Proposed electric power transmission systems
Submarine power cables
USA-336. USA-336, also known as SBIRS-GEO 6 (Space Based Infrared System - Geostationary), is a geostationary satellite operated by the United States Space Force (formerly operated by the United States Air Force). USA-336 forms part of the SBIRS High program.

Overview
USA-336 is a three-axis stabilized satellite equipped with an Overhead Persistent Infrared (OPIR) scanner. USA-336 uses its OPIR scanner and long-range surveillance to provide early warning for Ballistic Missile launches. It will replace older Defense Support Program satellites.

References

Satellites
Satellites in geostationary orbit
Spaceflight
2022 in spaceflight
USA satellites
1,2-Dichloro-1,1-difluoroethane. 1,2-Dichloro-1,1-difluoroethane (also R-132b or HCFC-132b) is a haloalkane and a hydrochlorofluorocarbon.  It is an intermediate during the production of HFC-134a.  According to a 2022 report by the WMO and other agencies, it has an ODP of 0.038 and a 100-year GWP of 332.  It has been detected in the atmosphere at concentrations of up to 0.17 parts per trillion, probably because of its use during the production of other chemicals.  Most emissions seem to come from East Asia.

References

Hydrochlorofluorocarbons
Haloalkanes
Diiodide. Diiodide may refer to:

 Titanium diiodide, TiI2
 Vanadium diiodide, VI2
 Chromium diiodide, CrI2
 Iron diiodide, FeI2
 Cobalt diiodide, CoI2
 Nickel diiodide, NiI2
 Germanium diiodide, GeI2
 Molybdenum diiodide, MoI2
 Palladium diiodide, PdI2
 Tin diiodide, SnI2
 Lanthanum diiodide, LaI2
 Cerium diiodide, CeI2
 Praseodymium diiodide, PrI2
 Neodymium diiodide, NdI2
 Samarium diiodide, SmI2
 Europium diiodide, EuI2
 Gadolinium diiodide, GdI2
 Dysprosium diiodide, DyI2
 Thulium diiodide, TmI2
 Ytterbium diiodide, YbI2
 Tungsten diiodide, WI2
 Osmium diiodide, OsI2
 Mercury diiodide, HgI2
 Lead diiodide, PbI2
 Thorium diiodide, ThI2
 Americium diiodide, AmI2
 Californium diiodide, CfI2