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3 idiots reaction paper

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A Fundamental Flaw In An Incompleteness Proof by Stanisław Świerczkowski

This paper examines a proof of incompleteness by Stanisław Świerczkowski in a paper entitled “Finite sets and Gödel’s incompleteness theorems”. Świerczkowski’s proof is different to most other proofs of incompleteness because the formal system that is used for the proof is a system of hereditarily finite sets. Świerczkowski claims that this makes his proof simple and elegant, and that it has enabled his proof to be complete and without any gaps or omissions, nor relying on references to other publications. Świerczkowski claims that for this reason his proof his superior to most other proofs of incompleteness. However, the author makes an elementary error in his proof that renders the proof invalid; his proof relies on a confusion regarding the domain of the variables involved. Świerczkowski bases his proof on an assumption that a certain formula has a certain domain, whereas a logical analysis demonstrates that this is not the case.

Introducing The Essential Resource Every College Professor Must Have offers a revolutionary approach to classroom teaching by making the evaluation of your students’ performance easier and more efficient, utilizing a quantitative approach so a student’s understanding of subject matter can be judged more objectively. Instead of asking students to write a paper upon reading a book assignment, instructors can have them compile a Blossary – possibly with a collaborative team – that lists all the key points in the book as terms and then define each according to what they have read. Characters, events, places, and objects in works of literature are all terms that can be defined and described.

Speed control of Direct Current motor using Artificial Neural Network

Direct current motors (DC Motors) are widely used in many industrial applications and traction due to its straight forward and comparatively easy speed control ability. The purpose of this paper is to implement a speed control mechanism using artificial neural network (ANN) to achieve accurate control of the speed, especially when the motor and load parameters are unknown.

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The role of Metropolitan Iakovos in Albanian-Greek  relations (1919-1921)

This paper examines the role that Greek Metropolitan Iakovos played in Albanian-Greek relations from the end of World War I to the establishment of a national Autocephalous Orthodox Albanian Church in 1922. As a result of the political and social structure that was in place during the Ottoman Empire, religion played a significant role in postOttoman politics.

Spatial distribution of the pit builders antlion’s larvae  (Neuroptera: Myrmeleontidae) in the septe

Antlions (Insecta: Neuroptera) are xerophilous insects adapt to arid conditions that perform some resilent behaviours to overcome some noxious effects of the global warming. This paper focuses on the determination of the diversity of the antlion in the Soudano-guinean and Soudano-sahelian area of Cameroon analyzes the distribution of antlion larvae in these regions. After 3 years of survey, 3 antlions species dominate in the North of Cameroon especially in the dry season. Pits distribution under four tropical trees species is irregular, there is higher density of pits close to the trunck at the shade. This decreases from the shade to open space. At the regional level, the antlion’s pit site is influenced by the chemical composition of the soil: higher acidity, salinity, calcium and magnesium content are suppressive to larval development in one hand.

 Genetic Algorithm for Wireless Sensor Network With Localization Based Techniques

In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.

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