Surveyor 2 was to be the second lunar lander in the uncrewed American Surveyor program to explore the Moon. It was launched September 1966 from Cape Kennedy, Florida aboard an Atlas-Centaur rocket. A mid-course correction failure resulted in the spacecraft losing control. Contact was lost with the spacecraft at 9:35 UTC, September 22. On February 3, 1966 Luna 9 spacecraft was the first spacecraft to achieve a lunar soft landing and to transmit photographic data to Earth. Several months after, Surveyor 1 launched on May 30, 1966; this spacecraft was the second of a series designed to achieve a soft landing on the Moon and to return lunar surface photography for determining characteristics of the lunar terrain for Apollo program lunar landing missions. Besides transmitting photos, Surveyor 2 was planned to perform a'bounce', to photograph underneath its own landing site, it was equipped to return data on radar reflectivity of the lunar surface, bearing strength of the lunar surface, spacecraft temperatures for use in the analysis of lunar surface temperatures.

The target area proposed was within Sinus Medii. The Atlas-Centaur had placed Surveyor 2 on a path to the Moon, only 130 km from its aim point. During the midcourse correction maneuver, one vernier engine failed to ignite, resulting in an unbalanced thrust that caused the spacecraft to tumble for its remaining 54 hours. Attempts to salvage the mission failed. Contact was lost with the spacecraft at 9:35 UTC, September 22; the spacecraft crashed near Copernicus crater. The spacecraft was calculated to have impacted the lunar surface at 03:18 UTC, September 23, 1966, its weight on impact was 644 lb, speed was about 6000 miles an hour over lunar escape velocity and similar to the impact velocities of the Ranger program spacecraft. The next Soviet mission, Cosmos 111, was launched on March 1, 1966; the mission was a failure. Surveyor 3 soft-landed on April 1967 at the Mare Cognitum portion of the Oceanus Procellarum, it transmitted a total of 6,315 TV images to the Earth. There were seven Surveyor missions.

Surveyors 2 and 4 failed. Each consisted of a single uncrewed spacecraft built by Hughes Aircraft Company; the precise location of the Surveyor 2 crash site is unknown. List of artificial objects on the Moon Labeled Lunar Orbiter 4 photograph showing the Surveyor 2 crash site: IV-114-H1 Surveyor 2 flight performance Final report - Jan 1967 Surveyor Program Results 1969

Platelet factor 4 is a small cytokine belonging to the CXC chemokine family, known as chemokine ligand 4. This chemokine is released from alpha-granules of activated platelets during platelet aggregation, promotes blood coagulation by moderating the effects of heparin-like molecules. Due to these roles, it is predicted to play a role in wound inflammation, it is found in a complex with proteoglycan. The gene for human PF4 is located on human chromosome 4. Platelet factor-4 is a 70-amino acid protein, released from the alpha-granules of activated platelets and binds with high affinity to heparin, its major physiologic role appears to be neutralization of heparin-like molecules on the endothelial surface of blood vessels, thereby inhibiting local antithrombin activity and promoting coagulation. As a strong chemoattractant for neutrophils and fibroblasts, PF4 has a role in inflammation and wound repair. PF4 is chemotactic for neutrophils and monocytes, interacts with a splice variant of the chemokine receptor CXCR3, known as CXCR3B.

The heparin:PF4 complex is the antigen in heparin-induced thrombocytopenia, an idiosyncratic autoimmune reaction to the administration of the anticoagulant heparin. PF4 autoantibodies have been found in patients with thrombosis and features resembling HIT but no prior administration of heparin, it is increased in patients with systemic sclerosis that have interstitial lung disease. The human platelet factor 4 kills malaria parasites within erythrocytes by selectively lysing the parasite's digestive vacuole. Platelet-activating factor Platelet-derived growth factor Platelet+factor+4 at the US National Library of Medicine Medical Subject Headings This article incorporates text from the United States National Library of Medicine, in the public domain

Malaysian Advancement Party is a political party representing the Indian community in Malaysia. MAP was founded by the Minister of National Unity and Social Wellbeing and founding chairman of Hindu Rights Action Force, P. Waytha Moorthy, it was submitted for registration by its pro-tem committee to the Registrar of Societies in September 2018. Waytha Moorthy announced the party is formed as on 16 July 2019 and registered with the RoS, he declared he quits his position in HINDRAF due to the formation of the new party and to focus his leadership on MAP. The Party's main objectives amongst others are to protect and advance the interests of the Malaysian Indian community's political, educational, cultural and social interests. MAP as new political party, hopes to ensure an effective representation of the Malaysian Indian community and their interests are protected and advanced, its direction and vision are to adopt a fundamental rights-based approach for advancement, progressively moving away from state-assisted and hand-out based community towards community empowerment and resilient.

The values that MAP propagates include inclusiveness, quality, originality and transparency within the government. The party has stated it will work and cooperate with all political parties in Pakatan Harapan to enhance the reform agenda under the new PH administration and Malaysia Baharu government; the formation of MAP as an ethnic based political party had invited mix reaction and concern from certain quarters regarding the Indian community unity and non-communal policies pushed by the PH coalition. His Majesty's appointee Waytha Moorthy Ponnusamy Politics of Malaysia List of political parties in Malaysia Malaysian Advancement Party on Facebook

In computational complexity theory, a decision problem is P-complete if it is in P and every problem in P can be reduced to it by an appropriate reduction. The notion of P-complete decision problems is useful in the analysis of: which problems are difficult to parallelize which problems are difficult to solve in limited space; the specific type of reduction used may affect the exact set of problems. If we use NC reductions, that is, reductions which can operate in polylogarithmic time on a parallel computer with a polynomial number of processors all P-complete problems lie outside NC and so cannot be parallelized, under the unproven assumption that NC ≠ P. If we use the weaker log-space reduction, this remains true, but additionally we learn that all P-complete problems lie outside L under the weaker unproven assumption that L ≠ P. In this latter case the set P-complete may be smaller; the class P taken to consist of all the "tractable" problems for a sequential computer, contains the class NC, which consists of those problems which can be efficiently solved on a parallel computer.

This is. It is not known whether NC = P. In other words, it is not known whether there are any tractable problems that are inherently sequential. Just as it is suspected that P does not equal NP, so it is suspected that NC does not equal P. Similarly, the class L contains all problems that can be solved by a sequential computer in logarithmic space; such machines run in polynomial time. It is suspected that L ≠ P. To the use of NP-complete problems to analyze the P = NP question, the P-complete problems, viewed as the "probably not parallelizable" or "probably inherently sequential" problems, serves in a similar manner to study the NC = P question. Finding an efficient way to parallelize the solution to some P-complete problem would show that NC = P, it can be thought of as the "problems requiring superlogarithmic space". The logic behind this is analogous to the logic that a polynomial-time solution to an NP-complete problem would prove P = NP: if we have a NC reduction from any problem in P to a problem A, an NC solution for A NC = P. Similarly, if we have a log-space reduction from any problem in P to a problem A, a log-space solution for A L = P.

The most basic P-complete problem is this: given a Turing machine, an input for that machine, a number T, does that machine halt on that input within the first T steps? It is clear that this problem is P-complete: if we can parallelize a general simulation of a sequential computer we will be able to parallelize any program that runs on that computer. If this problem is in NC so is every other problem in P. If the number of steps is written in binary, the problem is EXPTIME-complete; this problem illustrates a common trick in the theory of P-completeness. We aren't interested in whether a problem can be solved on a parallel machine. We're just interested in whether a parallel machine solves it much more than a sequential machine. Therefore, we have to reword the problem so that the sequential version is in P; that is. If a number T is written as a binary number the obvious sequential algorithm can take time 2n. On the other hand, if T is written as a unary number it only takes time n. By writing T in unary rather than binary, we have reduced the obvious sequential algorithm from exponential time to linear time.

That puts the sequential problem in P. Then, it will be in NC. Many other problems have been proved to be P-complete, therefore are believed to be inherently sequential; these include the following problems, either as given, or in a decision-problem form: Circuit Value Problem - Given a circuit, the inputs to the circuit, one gate in the circuit, calculate the output of that gate Restricted Case of CVP - Like CVP, except each gate has two inputs and two outputs, every other layer is just AND gates, the rest are OR gates, the inputs of a gate come from the preceding layer Linear programming - Maximize a linear function subject to linear inequality constraints Lexicographically First Depth First Search Ordering - Given a graph with fixed ordered adjacency lists, nodes u and v, is vertex u visited before vertex v in a depth-first search induced by the order of the adjacency lists? Context Free Grammar Membership - Given a context-free grammar and a string, can that string be generated by that grammar?

Horn-satisfiability: given a set of Horn clauses, is there a variable assignment which satisfies them? This is P's version of the boolean satisfiability problem. Game of Life - Given an initial configuration of Conway's Game of Life, a particular cell, a time T, is that cell alive after T steps? LZW Data Compression - given strings s and t, will compressing s with an LZ78 method add t to the dictionary? Type inference for partial types - Given an untyped term from the lambda calculus, determine whether this term has a partial type. In order to prove that a give

Tachampara is a village in the Palakkad district of Kerala, India. It is administered by the Tachampara gram panchayat. Thachampara Grama Panchayath. Tachampara, Thachampara desom. Thachampara Jn: Muthukurussi Ponnamkode Edayikkal Chooriyode Machamthode Palakkayam Desabandhu Higher Secondary. School. St. Dominic ALP School Kalliani Vilasam ALP School Muthukurussi St. Mary's Carmel School, Palakkayam Chekku Sahib Memorial ALAP School, Edayikkal Seventh Day Adventist School. Esaf Hospital, Thachampara Thachampara kunnathkavu Bhagavathi Temple. Thachampara Ayyappan Kavu. Muthukurussi Sree Kirathamoorthi Khethram St. Antony Forane Church, Ponnamkode Thabore Marthomma Church. Thachampara Juma Masjid Ponnamkode Juma Masjid Arafa auditorium, Edayilkal. KGM auditorium, Thachampara; as of 2001 India census, Tachampara had a population of 12,774 with 6,141 males and 6,633 females

Moses Glover, was an English cartographer. He described himself as "paynter And Architectur", although little is known about him apart from his maps and the church records. Glover's marriage licence, issued in 1622, described him as "painter-stainer of Isleworth". In 1635 he created a survey map of Isleworth Hundred for Algernon Percy, 10th Earl of Northumberland, it is preserved at the Syon House in London. Horace Walpole considered Glover to be an architect equal to Thomas Holt, Huntingdon Smithson and Rudolph Symonds. According to Walpole, Glover was associate to Gerard Christmas in building the Northumberland House, was "much employed at Sion House by Henry, Earl of Northumberland". Walpole dated Glover's work at Sion 1604–1615. Edwin Beresford Chancellor questioned Glover's role as an architect. John Summerson wrote that the opinion of early 19th century authors was a "suggestion" influenced by Glover's map and survey