Chemical, Biological and Nuclear Agents and Incidents Research Paper

Chemical, Biological and Nuclear Agents and Incidents - Research Paper Example There are four types of classifying various hazards using a color-coding system, which are the following: Blue (for threats to health or physical injuries), Red (flammability), Yellow (reactivity) and last, White (water reactivity). A new classification which uses the symbol of a radioactive propeller has been added to indicate a material is radioactive. This paper tackles the common chemical, biological and nuclear agents deemed to be dangerous and common incidents involving them. Most of the hazardous materials (hazmat, for short) are essentially man-made although a few of these are naturally-occurring, such as certain types of anthrax and radioactive elements. The three major categories of hazmat agents are discussed individually, and incidents involving the same materials, such as accidents during transport and spills or leaks during production. Only some 39 elements as found in the Periodic Table of Elements are actually hazardous, the rest of the materials are the results of combining these elements into various mixtures and compounds which made them hazardous if these are not handled properly (Burke, 2003, p. 43). Chemicals – it is the U. S. Department of Transportation (DOT) that came up with the nine major classifications for hazardous chemicals that are now widely used. These classes are mostly explosives, compressed gases, flammable liquids, flammable solids, oxidizers, poisons, radioactive materials, corrosives and last, miscellaneous hazardous materials (OSU, 1997, p. 1). Industrial chemical compounds are often long-lasting (they take years and decades to degrade to be harmless) and find their way into water supplies, lakes, rivers and oceans and along the food chain. Research conducted eliminated smoking, drinking, lifestyle and diets as probable factors and the polluted environment is the most likely cause of many cancers (Steingraber, 1999,

All About Malaria Coursework Example | Topics and Well Written Essays - 1000 words

All About Malaria - Coursework Example 451). As studies indicate (Rietveld & Schlagenhauf 2008, p.214), malaria produces more complications in pregnant women and young children because these groups are more vulnerable to malaria. If diagnosis for this infection is not done at proper time, it may lead to disastrous results. The disease is said to have supplied by chimpanzees and gorillas to mankind. The comparative lack of genetic variations in plasmodium falciparum also testifies that it has the recent origin from some other primate species (ibid). How malaria is caused Normally this disease is transmitted to people by a certain kind of female mosquito called Anopheles. These parasites are usually found in the saliva of the female mosquitoes of this type. As described by Jacoby and Youngson (2004 p. 1123), when a person is bitten by a female mosquito, the parasite enters the bloodstream through the mosquito’s saliva and makes their way to the liver. Initially, they cause no troubles, but the infected liver then get s damaged releasing merozoites that badly affect the red blood cells (ibid). The multiplying parasites eventually cause the signs of malaria in the host. As stated above, the parasite that causes malaria is called a plasmodium. Typically, there are four different species that cause this disease in man. They are plasmodium falciparum, plasmodium malariae, plasmodium vivax and plasmodium ovale. Among them, the most dangerous one is plasmodium falciparum as it causes most serious complications and often becomes fatal. The rests are less malignant that cause severe fever at alternative intervals. Another peculiar characteristic of these non falciparum parasites is that they may get into the liver and be inactive for long; and the disease will be caused long after original infection (ibid). The different phases of communication and the life cycle of malaria parasites in the human body are illustrated in figure 1. (Figure 1: Source: Davis & Shiel, n.d.) Symptoms of Malaria If a person is affected with malaria, the signs will be visible from ten to twenty eight days of the mosquito bite. The first sign will be tiredness and loss of liveliness. The affected person will have continuous muscle pain and pain in the joints. Some other symptoms of malaria include fever, headache, nausea and diarrhea. The symptoms also include shivering and fever, heavy sweating and fall in temperature. As Ichhpujani and Bhatia (2002 p. 98) points out, Blackwater fever is another complication of malaria in which red blood cells break and release hemoglobin directly into the blood. Cotter (2001, p.39) finds that hemolysis, which is the phenomenon of red blood cell breakage, is the direct cause of Blackwater fever. The most alarming factor about malaria is that the parasites have developed resistance to a number of malaria medicines. Malaria Diagnosis It is a hard task to diagnose malaria with the clinical criteria as the general symptoms of malaria such as fever and headache are common to a number of illnesses. Therefore, in highly industrialized countries where malaria is rarely reported, physicians have to order special test to identify the presence of malaria. The widely used method of malaria diagnosis test is the Giems blood smear on a microscope slide that is discolored to show the parasites that have got into the red blood cells. The slide of such a blood smear showing Plasmodium parasites are pictorially represented in figure 2. (Figure 2: Source: Jacoby & Younson, 2004.). Though this test is comparatively easy, the

Project of using the wireless sensor network (WSN) Essay Example for Free

Project of using the wireless sensor network (WSN) Essay In the previous era, the technology application mostly using wire but now a wireless device has become commonplace. The definition of the wireless sensor network is an application that having no wires connection on that devices. In addition, to make the system easy to monitor from a distant location, the RF 433MHz module was used. So, this project gave rise to the idea for studying details about the RF 433MHz module performance for WSN application. Project Background Nowadays, using the wireless sensor network (WSN) technology to monitor the environment helps someone to solve the problems of deployment difficulty, high cost, and realized unmanned monitoring which is mostly used in the factory, buildings, laboratory, and house. This project is to study the range and performance of the RF 433MHz module for WSN application. RF 433MHz module is popularly used in the remote control system. This range also available to use in this area. There are two types of the RF module which is transmitter and receiver. From research, using this module, the data can get more accurate and detailed information than another transmission for the wireless sensor network. The range that can reach by this RF module is different between outside and inside area. For inside area, it can work for 50 meters through multiple walls with an antenna, while for the outside area, it will be able for hundreds of meters. Besides that, a microcontroller such as Arduino also used in this project. Arduino that available for this project is Arduino PRO which is it has 3.3V port that will be easier to connect directly to the transmitter of RF 433MHz module. This project also about to study the analysis of the data transmission by giving a few of distance between the transmitter and receiver of the RF 433MHz modules when located in the obstacles or line of sight area. Then, the data that are received will be displayed on the Liquid Crystal Display (LCD), whether there are data losses or not. Problem Statement The problem that becoming as issues right now is there is a lot of ways to send data but the problem is about the range, cost, and data losses. So, for this situation, study the performance of RF 433MHz can overcome the problem for the WSN application. Objectives The objectives of this project are to understand the range and performance of RF 433MHz module. Moreover, exploration about the transmitting and receiving the data by using the RF 433MHz module. Work Scope The main work scope of this project is to make sure this project will achieve the objectives. The main focus of this project:- i. To study and understanding the range of RF 433MHz module. ii. To transfer data by using RF 433MHz module. Methodology In this project, there are three main parts. For the first part, it will be focused on the conducting the literature review and do some research more detail about the RF 433MHz module. Meanwhile, for the second part, after the software development process, the hardware development process will take over and include the testing of the project. Last part, when the hardware and software complete their part, it will be followed by testing the performance and the operation of the project. Report Structure This part will explain all the flow for completing this report and project. In this report, there are five chapters. Chapter 1: Introduction This chapter will introduce the background of the project, state the problems, clear about the objectives, scope of work, planed the methodology and report structure to make it organized. Chapter 2: Literature Review This chapter will be explained more about all the research that has been done. All the previous project also will be stated in this chapter. Then, the summarization for the project also will be attached to this chapter to make it more details. Chapter 3: Methodology The methodology is the method or steps when doing this project. The simulation, analysis, and evaluation of the project will be discussed in this chapter. This method is important because from here the flow of the process for the project will be updated. Chapter 4: Expected Results The expected results in the software or hardware will be stated in this chapter. The comparisons and improvements of this project will be described here. Chapter 5: Conclusion In this chapter, to make a conclusion all the summary for this project was collected in each part will be discussed in the conclusion.

The Mystery Behind Sudoku Mathematics Essay

The Mystery Behind Sudoku Mathematics Essay Puzzle games can be very enjoyable and is popular amongst kids as well as adults. Many of you may know the game Sudoku; where by the goal of the game is to fill in the remaining empty cells with each number from 1-9 appearing no more than once from each column, each row and each of the nine sub-grids. Sudoku is a type of logic-based numerical puzzle game that has a unique solution once completed. The most common form of a Sudoku is constructed as a 99 grid with nine 33 sub-grids and is primarily partially completed. Sudoku has become appealing among puzzle enthusiasts and involves complex thinking and practice. Available daily in newspapers, mobiles and many more, this addictive and brain-teasing puzzle game has become one of the most popular games to play since the time of the Rubiks cube. This dissertation discusses the mathematical side involved in Sudoku. There is no mathematics in actually solving a Sudoku but more of how it is used from a creators side. The 99 grid will be considered in the majority of the report; however a glimpse into other size grids will be discussed briefly also known as variants. Mathematicians have been questioning How many unique solutions are there in a Sudoku? Essentially meaning what are the possible ways of filling in an empty Sudoku grid so that each row, column and sub-grid contains the numbers 1 through 9. Your first thought of an answer may be a couple of thousands, but as you understand the concepts behind a Sudoku, you begin to grasp a whole new aspect. Combinatorics and permutation group theory are largely interwoven with analysing Sudoku. For that reason, I aim to explore these theories and understand how it applies to the methods of enumerating Sudoku grids. In particular I will be looking at Felgenhauer and Jarviss approach to enumerating all possible Sudoku grids where they employ several mathematical concepts. Furthermore I will uncover the importance of Latin squares and its use of constructing Sudokus. There are many constraints in regards to when are similar solutions considered different such as solutions of similar structure, symmetry etc. Preserving symmetries are known as relabeling symbols, band permutations, reflection, transposition and rotation. Burnsides Lemma theorem is one of their techniques in computing the number of essentially different solutions. Many difficult problems are of the type called nondeterministic-polynomial known as an NP-complete problem. This will direct me onto the debate on whether Sudoku is an NP-complete problem. Sudokus can take many forms and shapes. These are called Sudoku variants and consist of rectangular regions, Sudokus with a large region having no clues (numbers), an empty row, column or sub-grid and many more! Here I will research the logic behind irregular Sudokus as well as examining any occurring patterns or whether it has occurred by chance. 1.2 Latin squares and Sudoku Sudoku is also a special case of Latin squares. The Swiss mathematician, Leonhard Euler made many fundamental discoveries during 1782 including Latin squares. A Latin square is an N x N matrix where by a set of N characters are arranged such that each row and column contains one of each character. This is also in the case of a Sudoku, when complete, with an additional constraint that the nine sub-grids must hold the numbers 1-9. A reduction can be made to any Latin square by permuting the rows and columns. This arrangement is an aspect of combinatorics and is most commonly referred to as enumeration. Enumerative combinatorics is a classic area of Combinatorics and involves counting the number of infinite class of finite sets. Counting combinations and counting permutations are two of the most common forms. The number of valid Latin squares is known to be approximately 5.525 x 10 ²Ãƒ ¢Ã‚ Ã‚ ·. Write about Colbourns proof 1.3 Combinatorics and Permutation group theory Combinations and permutations have slightly different meaning. Combinations are the number of different ways of selecting n objects from a set but the order of events is not important. From a set of 3 objects, lets call these 1, 2 and 3. If for example I was asked to pick the number of ways of selecting 2 objects out of the 3, there would be three combinations 12, 23 and 13. 12 = 21 since the order of each pair is not important. A permutation on the other hand does consider the position. Therefore if I was to use the above example, there would be six permutations. A simpler way to calculate a larger set would be to use formula 1: Formula 1. = = Where is the combination formula, is the permutation formula, n is the total number of objects and r is the number to be arranged Both methods are one way of computing the number of possible Sudoku solutions and this will be looked at later in the report. Chapter 2 Enumerating possible Sudoku solutions 2.1 Distinct Sudoku solutions There are many approaches to enumerating possible Sudoku solutions. To enumerate every possible Sudoku solution, a Sudoku differs from another if they are not identical. Thus all solutions will be consider unless they are like for like. Felgenhauer and Jarvis was the first to enumerate the Sudoku grid solutions directly in 2005. There approach was to analyze the permutations of the top row used in valid solutions. Their knowledge of the complexity in computing the number of Latin squares has made them aware of how they should go about getting an answer with fewer computations. Hence by using relabeling this could shorten the number of counts. To make it easier, each sub-grid is given an abbreviation seen in figure 3. B1 B2 B3 B4 B5 B6 B7 B8 B9 Figure 1. Abbreviated sub-grid with top band (Felgenhauer and Jarvis, 2006) Firstly they consider every solution to filling in blocks B2, B3, given that B1 is in standard form. To work out every possible way of arranging B1 on its own would essentially be computing the number of permutations of 9 symbols. There are 9! of filling in B1. The main operation they use is called relabeling. 1 2 3 4 5 6 7 8 9 Figure 2. B1 in standard form (Felgenhauer and Jarvis, 2006) Felgenhauer and Jarvis have found that B2 and B3 is the same as the transpose of B2 and B3. Therefore the number of ways of arranging B1, B2 and B3 and B1, B2 and B3 to a complete grid is equally the same. This means that computing one set of possibilities will cut down the number of solutions. Inevitably, there are few pairs of B2 and B3 that needs to be worked out and as well as using reduction the number of possibilities for the top band of a Sudoku grid is 9! x 2612736 = 948109639680. The next section involves brute force computation. As running through all 2612736 possibilities would be exceedingly tedious for B2 and B3, Felgenhauer and Jarvis attempts to identify configurations of the numbers in these blocks which give the same number of ways of completing to a full grid. This in return, will cut down the number possibilities. Permuting B2 and B3 in every way such that the result gives a unique solution will preserve the number of complete grids. This is the same for B5 and B6, and B8 and B9. However this changes B1 from its standard form, so an additional relabeling of B1 needs to be performed. Another approach to reducing the number of possibilities is to permute the columns in each block and permute the rows of any block. Reducing the number of possible ways by permuting. Lexicographical reduction Permutation reduction Column reduction As a result of these methods, Felgenhauer and Jarvis have found that there are approximately 6670903752021072936960 à ¢Ã¢â‚¬ °Ã‹â€  6.671 x 10 ²Ã‚ ¹ Sudoku solutions. In light of this result, there are fewer solutions than Latin squares due to the fact that there is that extra restriction of 9 sub-grids. That being said, there will be no shortage of Sudoku puzzles any time soon. Verification of this result has been confirmed by several other mathematicians Ed Russell to be more precise. 2.2 Essentially different Sudoku grids Whether symmetrical Sudoku grids are considered as two separate solutions is another method of enumerating the possible solutions. In this case, the only solutions are ones that are essentially different. Lets say two Sudoku grids are equivalent if one is a transformation of the other by applying any number of symmetries. If however, no such chain of symmetries can occur between two grids, it is essentially different. Two Sudoku grids are the same if we can get from one to the other by applying some sort of symmetry. For instance, take figure 3 4 below; the set of 3s in the first grid can be interchanged by the placements of the set of 1s, effectively producing the second grid. Figure 3. Valid Sudoku grid Figure 4. Another valid Sudoku grid from Figure 1 As well as this, a solution is said to be the same as another if any two columns or rows are swapped. The first column and second column in figure 3 can be exchanged to give figure 5. The two solutions are said to be symmetrical because the transformation still produces a valid Sudoku grid. Figure 5. First and second column swapped from Figure 1. Another form of symmetries includes rotational grids. A rotation of Figure 3 by 90 degrees generates a new valid Sudoku grid shown in Figure 6. Figure 6. Rotational of 90 degrees from figure 1 Any of these operations performed on a valid grid maintains the property of it being valid and this is known as symmetries of a grid. When an object is subject to these operations, certain properties are preserved. An example would be if one performs symmetry on to a Sudoku grid and repeats this operation once more, the final transformation is itself symmetric. In addition a symmetrical object can be transformed back to its original state by another form of symmetry. Performing several symmetries on a Sudoku grid can also be achieved by grouping its neighbouring pair. So the first symmetry can be paired with the second or the second can be paired with the third and so on. The resulting transformation is nevertheless the same either way. From these properties, it is inevitable to say that the set of symmetries of any Sudoku grid form a group. A group is a set G if it satisfies the following properties: CLOSURE If f and g are elements of G, then f ·g is also an element of G. ASSOCIATIVITY If f, g, and h are elements of G, then f ·(g ·h)=(f ·g) ·h must satisfy. IDENTITY ELEMENT There is an element e in G such that g ·e=e ·g=g for all g in G. INVERSE For any element g of G, there is another element d of G such that g ·d=d ·g=e, where e is the identity element. (The element d = g-1.) The symmetry group is thus generated by the transformations of: re-labelling the nine digits, permuting the three stacks (3 vertical blocks of a Sudoku), permuting the three bands (3 horizontal blocks of a Sudoku), permuting the three columns within a stack, permuting the three rows within a band, and any reflection or rotation. These can be combined to form other elements of the group and together they comprise of the symmetry group G. Given that any element of G can be mapped so that it takes one grid to another, we can say that the set of valid Sudoku grids has a finite number of elements. Thus G has finitely many symmetries. The association between symmetrical Sudoku grids are in fact an equivalence relation and satisfies the following three properties: for grids A, B and C in set G Reflexivity A = A Symmetry If A = B then B = A Transitivity If A = B and B = C then A = C Let A be any valid Sudoku grid, we must consider all the grids that are equivalent to a valid Sudoku grid A. To do this, we firstly have to group together grids that are essentially the same so that we can partition the set of grids. This will break the set of Sudoku grids into subsets, with groups that contain no relating elements within each other. The term subset can be called equivalence classes and is denoted by X/G. In any equivalence class, there are elements that are equivalent to each other by symmetry. The total number of elements in X/G is equal to the number of essential Sudoku grids. To calculate the number of essentially different Sudoku grids, we shall look at all the symmetries neglecting the re-labelling of the nine digits for the time being. The number of distinct symmetries founded by Russell and Jarvis (2006) is said to contain 3359232 (pg 4). In this finite group H, we need to take the average number of grids fixed by an element of H, up to re-labelling. Next we need to verify the number of fixed points of all elements in H. Russell and Jarvis have found that there are 275 classes of symmetries using a software package called GAP. It is interesting to note that some of the elements in H have the same number of fixed grids. In other words, we only need to count the number of fixed points for one symmetry for each of the 275 classes. However there exist symmetries in H that have no fixed points. Subsequently, there is no need to count the number of fixed grids for those that have no fixed points. That being said, there are only 27 out of 275 classes that co ntain fixed points, meaning fewer computations. Rotman. J. J (1995) demonstrate that if X is a finite G-set and |X/G| is the number of G-orbits of X, then Formula 2 holds where, for gцG, X is the number of xцX fixed by g (pg 58-61). Using this notion, we have established that the number of valid Sudoku grids is of a finite set and X/G is the number of essentially different Sudoku grids, so we can obtain the number of essentially different Sudoku grids by using the Burnside Lemma Theorem. Formula 2. Burnside Lemma Theorem (Rotman, 1995) Burnside Lemma Theorem is a useful tool when dealing with symmetry with a set of countable objects. When used to enumerate the essentially different Sudoku grid, the set of equivalent grids form an orbit of the symmetric group. The number orbits are essentially the number of different grid solutions. This may sound slightly (ALOT) trickier to compute, nonetheless Russell and Jarvis have shown that the number of essentially different Sudoku grids is 5,472,730,538 with the implementation of Burnsides Lemma Theorem. Chapter 3 Nondeterministic polynomials 3.1 NP-complete and Sudoku Sudokus may relate to a variety of problems, in particularly, whether Sudoku is an NP-complete problem. It is known that NP-complete problems are one of the most complicated cases in NP, also referred to as nondeterministic-polynomial. Its rival, P problems relates to NP as both being in the same complexity class. Mathematicians have yet to solve whether NP-complete problems can be solved in polynomial time or more commonly whether P = NP. Consequently being one of the greatest unsolved mathematical problems. The majority of computer scientists believe that P à ¢Ã¢â‚¬ °Ã‚   NP, as a result would mean that NP-complete problems are significantly trickier to compute than to verify. Unfortunately, nobody has yet found an efficient algorithm, not even with the use of computers available today. A problem is said to be NP-complete when its solution can be proved in polynomial time. And if that problem can be solved in polynomial time, all problems in NP can be solved too. An interesting characteristic of NP-complete problems is that the time frame to solve the problem increases rapidly as the size of the problem gets larger. If that is the case and Sudokus are NP-complete, solving a Sudoku of higher order (say 17 ² x 17 ²) will become increasingly challenging algorithmically then the standard 3 ² x 3 ² version were talking trillions of years. It has been shown that Sudoku does belong to the category of NPC problems by Takayuki Yato of the Univeristy of Tokyo (2003). An exchange for the notation ASP-completeness (shorthand for Another solution problem), led the proof of NP-completeness of ASP. Their proof uses reduction in order to obtain the required polynomial-time ASP from the problem of Latin squares by Colbourn (1984) who has verified, the NP-completeness of ASP of Latin square completion Another accountable source by Provan states that, It is known that solving general-sized Sudoku puzzles is NP-hard, even for square grids with blocks consisting of the sets of rows and columns (Latin Squares) or for p2 x p2 grids with blocks consisting of rows, columns, and the p2 partitioned p x p subsquares. Mathematical programmes such as the 0-1 linear programming and the knapsack problems are also cases of NP-complete problems. A full list of other problems that are NP-complete can be found in Garey and Johnson (1979). Chapter 4 Sudoku Variants 4.1 Variation The classic form of a 99 Sudoku are polyominoes. There are other variations of Sudokus that can be applied to the rules of Sudoku. There are puzzles of the size 66 with 23 regions or a 1212 grid of 43 regions. More so, there are other fascinating Sudoku variants such as Greater than Sudoku. Chapter 5 Personal Critical Review The progress I have made during the duration of this project, have been fairly slow but surely getting there. Having said this on many occasions, I have still not conquered my time management skills! The project started very slow which meant I was behind schedule. Nevertheless my organisational skills have kept me on balance. The GANT chart has been of great help in doing so. What has kept me going throughout this project in particular would be self discipline and motivation. This project has proven that I am capable of working to my own initiative, but also well within a group; my time during the group project. Furthermore, my time on this project has definitely promoted a better mentality of my future ambitions. I have learnt that it is crucial to read a lot, as well as reading as broadly as I can. This in turn have aided in the running of my project. With other coursework deadlines, I made that a priority and had no time to meet with my supervisor. I understand that meeting with my supervisor is equally important because a supervisor is there to encourage and to advice on any difficult obstacles I may encounter. An area of interest to proof whether NP-complete problems can be solved in polynomial time, was left open as future work. This could be the next step of extending this report that little bit further. Chapter 6 Conclusion A challenging problem for further research is to proof whether NP-complete problems can be solved in polynomial time. This has yet to be solved and anyone who has a formal proof will be rewarded $1 million dollars by The Clay Mathematics Institute.

President Bill Clinton and The Lewinsky Scandal Essay -- William Jeffe

Clinton and The Lewinsky Scandal On January 17th, 1998, President Clinton videotaped a deposition for the Paula Jones lawsuit against him. December 19th, eleven months later, Bill Clinton became only the second president in our nation’s history to face impeachment from congress. The 1998-1999 was a tumultuous year for the President, the media, and the American people as a whole. Yet, the most intriguing and surprising aspect of the scandal was not that Bill Clinton would ever cheat on his wife or that his administration would survive such a terrible scandal. Nor was it a revelation that the media would be zealously intrigued by a sex scandal involving the President. The one aspect of the Lewinksy Scandal that was truly interesting was the response of the public. Despite the knowledge that Clinton had an affair with an intern and probably lied about it, Clinton’s job approval rating did not decrease or even stay the same– his ratings rose to levels approaching 70% Every time a new damning piece of evidence came to light, media pundits everywhere believed that Clinton’s ratings would fall. Yet, they were wrong. The Republican Party believed that the scandal would finally bring down Clinton and his popular support. They also were wrong and paid a considerable political price. How did this happen? To help understand and explain this phenomenon, I will examine three political actors -- the President, the media, and the public – and their relationship with each other. I will discuss President Clinton’s past and his history of scandals. The way that each actor has dealt with Clinton’s scandal-ridden past has had an important effect on how each responded to and was affected by the Lewinsky Scandal. Each actor’s res... ...Wilcox, â€Å"Public Opinion: The Paradoxes of Clinton’s Popularity†, ed. Mark J. Rozell and Clyde Wilcox, The Clinton Scandal: and the Future of American Government (Washington, D.C.: Georgetown University Press, 2000)p. 117. Ibid. Ibid. Molly W. Andolina and Clyde Wilcox, â€Å"Public Opinion: The Paradoxes of Clinton’s Popularity†, ed. Mark J. Rozell and Clyde Wilcox, The Clinton Scandal: and the Future of American Government (Washington, D.C.: Georgetown University Press, 2000) p.117. Michael J. Gerhardt, â€Å"The Impeachment and Acquittal of William Jefferson Clinton†, ed. Mark J. Rozell and Clyde Wilcox, The Clinton Scandal: and the Future of American Government (Washington, D.C.: Georgetown University Press, 2000). Robert Busby, Defending the American President: Clinton and Lewinsky Scandal (New York: Palgrave, 2001) p.47. Ibid. p.213. Ibid.

Role of Women During and After the Age of Revolutions Essay -- French

There have been many stereotypical views and misconceptions about the role of women during and after the age of revolutions. Although the role of women did change, it is important to understand their position before the revolutions in order to wager how their role changed and of course, to what extent. It would be unrealistic to assume that all women during this period fell into one category. There are many factors to consider and so it is vital to address how different types of women behaved in their varied working and living environments. In pre industrial Europe the life of a single woman can be regarded as extremely difficult from an economic perspective. Most single women, irrespective of age, belonged to a family, either as a servant or a daughter. In both respects they were regarded as dependent. In a time when female wages were extremely low, the only way for a woman to obtain a degree of economic stability was to marry. The type of work a single woman carried out differed quite greatly from that of a married woman. As with all women their working role began in a similar way, helping within the home, assisting their mothers. Obviously the jobs they carried out varied according to the productive nature of their particular household, for example in agricultural areas daughters would often help with dairying, poultry, or the making of food and cloth. The very first time women began to ban together for the same rights that men have was during the French Revolution. Everything was being questioned in France then, and for the first time, women were doing some of the questioning. Why couldn't women vote? Why couldn't women hold public office? Why were women expected to tend to the kids and the house all day?... ...e of the Enlightenment era, the role of women in society began changing drastically as the lights of the world were now open with this brand new enlightened era. Women began holding jobs, yet still did not receive the same privileges as men. By the time the Industrial Revolution came along in the 19th century many more jobs were opened to a woman in the work force. Reforms began in all areas throughout the 19th and early 20th centuries as women were gaining more and more rights and acceptance into everyday life. By the time the 20th century rolled around and throughout, no longer was it thought that women belonged in the home (although few still feel that way), yet many women began serving professional jobs as doctors, lawyers, and politicians. Now today some of the most successful people in the business world are women, as women have even began their own companies.

Economische En Sociale Geschiedenis

Samenvatting Economische en Sociale Geschiedenis 2013 INHOUD: 1. Samenvatting Boek â€Å"Before the Industrial Revolution† M. Cipolla 2. Kleine samenvatting Boek â€Å"Arm en Rijk† D. Landes 3. Samenvatting algemene hoorcolleges: Migratie & Interbellum 1. Samenvatting Boek â€Å"Before the Industrial Revolution† M. Cipolla Part I CHAPTER 1: Demand (pages: 3 t/m 52) Spain census of population, 1789, lot of population estimations are rough and not precise. Small societies. Not very large growth of population in 18th century. Low fertility or high mortality is the cause of slow growth. So population of preindustrial Europe remained relatively small. more in chapter 5). Normal mortality occurs in normal years. Catastrophic mortality occurs in calamitous years, it far exceeded current fertility. Always drastic fluctuations of population. Needs: depend on population size, geographical factors, and structure of population by age/gender/occupation & sociocultural factors . Cultural factors forbid/duty to do certain things. As long as a person is free to demand what he wants, what counts on the market are not ‘needs’, but ‘wants’. Wants are both expressed by individuals and society but only have limited resources, we have to make choices.Wants become effective demand when they are backed by purchasing power. (expressed by purchasing power). Purchasing power is based on income/distribution of income (public/private) & level and structure of prices. Income and distribution: Incomes can be divided in wages/profits/interests and rents. Preindustrial Europe was a striking contrast between the abject misery of the mass and the affluence and magnificence of a limited number of very rich people. Lyon & Florence 10% of the population controlled more than 50 % of the wealth assessed. Other measurement of wealth: bags of grain. (reserves).Gregory King made accurate calculations of national income, putting to good use all the material h e had available in addition to his personal observations. Poverty and unequal distribution of wealth and income. People with no income at all beggars. In France at the end of the 17th century, beggars counted for 10 % of the population. Most people lived at subsistence level, no savings or social security to help them in distress, only hope was charity. In different European cities, there were different percentages of â€Å"beggars†. Many fluctuations in unemployment figures. In years of famine (hongersnood/schaarste) high numbers of poverty.Income can be earned or transferred. Transfers: voluntary transfers (charity/gifts) & compulsory transfers (taxation). Many people left things behind for charity when they died. Also disasters and feasts served to accentuate charity. When people died from a disaster, their belongings went to the church/hospitals. Besides charity, gambling and dowries were forms of voluntary transfers, they could affect productive activity. Compulsory tran sfers; taxation on the one hand, plunder and theft on the other hand. Theft on low-class people because of: famine, inequality of income. Noble people also: earlier centuries of middle ages.Ransom (losgeld), large transfers of wealth. In early periods, great importance of alternatives to trade. After 10th century, trade expanded and concentrated in cities. (Permanent fairs). Types of demand: Demand for production goods, demand for services, demand for capital goods. 1. Demand for consumption goods 2. Demand for services 3. Demand for capital goods Demand can also be divided into: 1. Private internal demand 2. Public internal demand 3. Foreign demand Private demand: the lower the income, the higher the percentage spend on food (logic). The poorer the country, the higher the percentage spend on food of total expenditures.The lower the income, the more spend on poorer foods, such as bread (stijfselachtig voedsel). Rich people, less amount of total income on food. Symbolic value of food in preindustrial Europe. Rich ate a lot. Somethimes too much. Purchase of clothing was luxury. Epidemics, clothing of deads were passed over, which spread the epidemics. Plagues. People lived in small houses with many families. (rents were very high in large towns, compared to the wages). Milanese Public Health Board issued rules for living, but poverty stood in the way of wisdom. Rich had domestic staff. Low wages favoured the demand of domestic services.Wages only did not represent the total expenditures on them. costs of food/living/heating and other items provided tot servants by their employers. Income not spend on consumer goods and services is naturally saved. Nobody saves to the same extent: 1. Level income 2. Psychological/sociocultural factors 3. Income distribution. Obvious when income is high that there is more possibility of saving. Rich people could invest an amount saved of their income. (Cornelig de Jonge van Ellemeet for example). National saving in England at the end of the 17th century amounted to less than 5 percent of national income.Very unfair divided income distribution. Even though England was one of the richest preindustrial societies, NO high concentration of income. Preindustrial societies were in a position to save only if they succeeded in imposing miserably low standards of living. Flow of monetary income becomes circular savingwill be converted into investment. Hoarding: preindustrial Europe, large amounts of monetary savings were hoardeddid not reach financial market (under matrasses/socks for example). A lot of hoards were accidentally discovered. Hoarding because of fear (robbery and plundering). Beginning 11th centrurydis-hoardingdivine activities.Building cathedrals, helping the poor, religious building. 11th & 12th century financed through dis-hoarding. Investment euphoria. Public demand: Arose from the 11th century, only 5-8% of national income. Before the 18th century public and private demand were different to distingu ish. Distinction: presence of CHURCH as patrimonial & economic entity. Level and structure of public demand: a. â€Å"income† public power (derive from: taxation, public loans (forced), state property exploitation, gain of the mint) b. â€Å"wants† of those in power (war/defense/court/civil administration/festivities) c. he price structure and of the community they control Public powers can increase taxes; income is function of their â€Å"wants†. Public Debt= invention of Italy city-states. Moneys lent to the state by private citizens, mostly forced loans. Citizen would receive interest on the sum lent. Throughout the Middle Ages and Renaissance the public powers managed to broaden the tax base & to raise the rate of taxation. Parties Casuelles were in France the fiscal bureaus. In England and France the revenues of the Crown rose. But also rising prices, growing population, increased wealth.Fiscal privileges for the nobles (adel) hit the poor hardercomplaints! From 12th century sometimes administration was done by noblemen (no salary). A major expenditure of public money were embassies (representation). But military expenditure surpassed by far all the other expenditures. Also medical and educational services rose. Ethical & social valuepaying with public money so that ANY person (rich or poor) could get education or treatments. For example in Milan in 1288 had 3 of such surgeons. 1324 18 of such surgeons in Venice. Education: in the Middle Ages only private education (few).When communes arosepaying teachers with public money. Public schools arose rapidly. After 11the century. Education is investment in human capital. Guns & warships unattractive form of capital, capital goods middle 15th century public expenditure. Demand of the church: Church is important economic entity in preindustrial Europe. Donations from counts/barons, unable to manage land themselves so they donate to church. Very large magnitude of such estates. Before the 11th century. Following centuries nobles/wealthy donate buildings and lands to the church. 16th and 17th centurygrowing size of land holdings.Every now and then , however, church fell upon hard times in which bad administration affected property Reformation was worst period before 18th century. dissolution (ontbinding) of monasteries. A lot of monasteries (kloosters). By 1550 nothing was left of English monasteries, all possessions dispersed. Lots of income for Crown (benefit from sales). ReformationLombardy(-ije) before countries affected by Reformation. Reformation cuts into further growing of lands & possessions of church. The distribution of wealth within the church reflected the unequal distribution of wealth in society as whole.Foreign demand: Network of exchanges with other economic systems (goods/services/wealth/capital & metals). Import/Export = foreign trade. Exports are the response to foreign demand. Demand largely on food and textiles. End 16th century, clothes 80% English export. High transportation costsquality products, well do could afford these products. Industrial revolution made it possible to buy foreign made products easier. Import/Export could be measured by total GDP. (GNP). England best country with statistics on foreign trade. Henry VII (15th centrury) 300. 000. 17th century 9,5 million, increase in volume foreign trade.In Portugal, ancient manufacturers destroyed. Trade consequences depend on qualitative structures of certain trade. CHAPTER 2: The factors of production (pages; 53 t/m 96) Input is made up of factors called â€Å"factors of production†. Labor (ARBEID): divide people in consumers/producers & ages of people. Preindustrial 1/3 under 15. 60% 15-60 years old before 19th century. Difference between preindustrial & industrial societies = composition of dependent population (consumers but NOT producers). Nowadays productivity is very high, ratio of dependency 50-65%. Preindustrial: work till dead, start younger than 15.Chil d labor fields; summer. Bad treatment + female labor (agricultural/spinning/weaving). Wet nurse: sells food (mother’s milk) & cares for infant (service). Of economical and social importance. Sectors of activity: Primary, Secondary, Tertiary. Primary: Agricultural; low productivity, high % of total people worked in Primary sector not all sunk, kill and eat it, very vulnerable†¦ Working Capital: consists of stocks and inventories. (raw materials, semi-finished goods, finished goods). Stocks of foods, spared from consumption capital. Creating stocks costs money. Nowadays: ratio working capital to fixed capital is reduced. 2012, doomsday preppers however still exist;-)). Working capital is continually turned over. Continually coming back for reinvestment disinvestment is easier. STOCKS can be sold. QUESTIONL: Why low levels of production of preindustrial societies and a vicious circle of poverty? investment was so limited because opportunities for productive investment were extremely limited. Not so much because of poor potential of saving. Natural resources (NATUUR): non reproducible capital. Not infinite!!!! Land is a natural resource. Mineral deposits of: silver, gold, tin, copper, iron, etc.Medieval people were conscious about pollution more than during Industrial Rev. (Pitcoal). Forestsrules of cutting and planting trees. Later the rules became less important to the Europeans (during M. A & Renaissance). A lot of brick and marble in Italian culture because they exhausted their forests very early. Energy of water and wind for land-based activities (used on the spot), so manufacturers were located were mills could be build. Organization: labor, capital and natural resources must be combined in organizational forms which vary according to technology, the size of markets and the types of production.Different forms of organization can coexist. Preindustrial manufacturing was concentrated on the workshop. Craftsman. Dependent on who gave order (merchant s with warehouses). Mining and shipbuilding sectors. Modern capitalism manufacturing or trading sectorsled to modern capitalism. CHAPTER 3: Productivity and Production (pages; 97 t/m 114) Production is the outcome of all individual and social choices acting on both the demand and the supply side. Labor, capital and natural resources are INPUTS of production. Output emerges from their combination of use. Determinants: better education, economies of scale, technological development, etc.Entrepreneurial activity is a necessary ingredient, but not a sufficient one+ human vitality of whole society. Medieval and Renaissance productivity levels: technological progress. Agriculture (Slicher van Bath): between 1200 and 1700, grains yielded per seed planted rose. Fluctuation because natural resources, poor control over forces of nature. Animals poor fedless milk from cows, little meat. Weavers : low labor productivity meant that production processes were labor-intensive. Building industry: li ttle improvement on productivity. Other sectors noticeable improvements during MA & Renaissance. Gutenberg 1440: printing press (drukpers).The main reason for productivity gain was technological progress. Still low compared to industrial society. Not only quantity is important n measuring productivity, quality also important, but less records available. Positive production: greatest part of production in preindustrial Europe: food, textiles, buildings and domestic services. The: foreign trade. Many people produced locally. Negative production: the deliberate destruction of men and whealth & pollution and the destruction of the environment. Destruction of men and wealth for political or religious reasons. Assasins, Arsonist, Bomb-throwers. War!! -> Labor (the military) and capital (weaponry) with the avowed intention of destroying. Industrial army greater destructive power. Preindustrial: scarcity of capital. Plague destroyed men, not capital. Livestock killed, acres burned, vineyard s destroyed. a. destruction of natural resources b. pollution of the environment with the waste products of consumption c. pollution of the environment with undesirable by-products of productive activities d. damage to the health of those engaged in production In preindustrial societies less capacity for negative production. But even preindustrial societies managed to mismanage. 6th century increased use of coal in England. Domesticindustrial. (Fumifugium 1661. J. Evelyn). Miners, Gilders, Potters, Sulfur workers, Tanners, Glass-workersconcern for working conditions of labor. Part II CHAPTER 4: The Urban Revolution: The Communes (pages; 117 t/m 122) After fall down Roman empire, cities fell with it. Economic decline. North improved position, contact with south. Muslim invasion. Depressed and depressing world, rise of cities between the 11th and 13th centuries represented a new development, which changed the course of history. Differences between parts of countries and countries. Mas sive migratory movement.Towns grew because populations grew, high fertility & people from rural areas to cities. Migration: push & pull factors. Town was a place for innovation, economic and social advancement. Nobles took residence in the city (Italy). Cities became seats and centres of the power of the triumphant bourgeoisie. Citie WALLS. (protection). Towns were very different in medieval and renaissance period. Emegence of towns was a social and cultural revolution. Unique personal status for people living in cities. Burgers†¦ Italian cities attack and conquer the surrounding territory ( conflict with central power of Empire).Germans not!! France got a monarchy very soon. England, cities developed slower, very few revolutionary characteristics. Horizontal arrangements, co-operation among equals: university, fraternity, gildthe commune were the institutions created by the new outlook and which reflected new ideas. QUESTION: How did cities emerged from a portus (Belgian histo rian) beside a feudal castle of rising again from the foundations of a Roman town, was core of new society. Between 11th & 13th century. CHAPTER 5: Population: Trends & Plagues (pages; 123 t/m 136)Beginning new millennium, thin scattered population 35 million total. 1000-1400 population grew. Black dead came back in 1348, wiped out people. Also: wars, famines & epidemics struck again. En of 15the century 80 million. 16th century substantial growth. Beginning 17th100 million. Population of preindustrial Europe remained young and small. High fertility and high mortality. Marriage: manay people lived in celibacy (celibatair). Avoided for economic reasons. Age of marriage differs from time, class and country. Average age marriage around 25. Many people which DID married made it up for the unmarried.Number of children born still very high. High fertility because of youthful age structure and high mortality. QUESTION: Which types of mortality can be distinguished? Normal and catastrophic mortality. Normal mortality happens to occur in normal years. free from calamities (infants and adolescents) but WITH poverty.. While catastrophic mortality also took adults. Preindustrial societies were very vulnerable to calamities of all sorts. (WARS, FAMINES, PLAGUES (EPIDEMICS)). People literally died of hunger. Famines contributed directly to increase in mortality but also indirect by encouraging epidemics.Epidemics contributed most to the frequency and the intensity of catastrophic mortality. Balck Dead 1348. But also evey year an epidemic. Tyfus, bacteries, plaag, etc. Low growth rates. Begin 14th century several areas overpopulated, to prevailing levels of production and technology. Demographic growth big, public health development small! Effects of epidemics on given population are determined not only by the # people killed, but also by distribution of age (fertility). Normal mortality usually lower than fertility, but after a catastrophe start all over again. Citites surv ived because of flow from country to city.Epidemics after 18th century subsided. Pandemics. Mortality no longer assumed catastrophic proportions. Disappearance of plague after 17th century. Reasons: better building, burying corpses, disappearance of black rat? –> onverdedigbaar! BUT: ecological revolutiondemographic revolution, due to technological and economic achievements of western Europe. CHAPTER 6: Technology (pages; 137 t/m 159) Technological developments 1000-1700: Romans ->Watermills, slave labor (cultural reasons for development stagnations). BUT: we always think of machinery as we think of technology.Romans were very good in : organization of military, administration, architecture, road construction). Main technological developments 6th-11th century: watermills, plough, crop rotation, horseshoe, methods for harnessing draft animals. NOT inventions but increase in USE. All agricultural and strengthen each other. Many horses used, better capital. Alos IRON for equipme nt. Also developments in human capital and water power, watermill used for all kinds of productions. Also Windmillsirrigation end of 12th century. In 1745 a FANTAIL , sails into the wind automatically, 1st example of automatic control in machinery. 300 the compass, more mathematical navigation. Ship as capital greater value. Inventions: spinning wheel and spectacles (BRIL). Beginning 14th century: clocks, firearms and canal locks. Ship building: ship skeleton first during later middle ages. 15th centuryfull-rigged ships, all kinds of winds sailable. Time of voyages diminished + costs reduced. systematic knowledge of winds. Naval guns were build out of bronze. 16the centurycasting iron guns. This before mentioned provided a basis for expansion overseas. Technological innovation: printing (Gutenberg) bible, before printing was very expensive.Press opened up vast new horizons and opportunities in the fields of knowledge and education. Spread rapidly. Spinning wheel China 11the century, Europe 12th century. Innovation: small steps through numerous minor experiments. After the industrial revolution modern science. Windmill originally Persianvertical axis, European horizontal axis worked much better. Paper originally Chinesespread to Muslim empire. European paper produced with machines driven on watermills. After 12th century passion for mechanization of all productive processes. LABOR SAVING DEVICES.Mechanical clock for examplefirst measuring time in different ways, from 13the century need for solution measuring time because of mechanical outlook from people. Spread of clock: churches, public buildings, etc. Consequences of mechanization: in a number of sectors gains were achieved + mechanical outlook reinforced more and more. Logical consequence that follows is a mental outlook, which takes centuries to develop. Also feared as a source of possible dangerous disturbances. Scarcity of labor caused by epidemics one factor; but were many more and complex factors. Also mental attitudes and aspirations.WHY Europe so favourable to change? We do NOT know. The spread of technology: 12th – 15th century Italians leas technology invention. 16th-17th century Dutch and English. Through ages; main channel for diffusion of innovation has been migration of people. = migration of human capital. Sometimes things kept a secret when economic interest were at stake. Spread: migration of craftsman to other parts of country or other countries skilled labor migration. Push and pull factors, bad for economy of home country when people moved to other country. Sometimes punishments because of skilled movement.DRANG NACH OSTEN; Dutch people went to east because of fertile ground. Bologna attracted artisans in exchange for privileges. Depends on circumstances if invention takes place in host country of skilled laborers. Qualities that make people tolerant also make them receptive to new ideas. CHAPTER 7: Enterprise, Credit & Money (pages; 160 t/m 182) Enterprise a nd credit: Business techniques; organization of fairs, accounting techniques, insurance, etc. Many techniques developed between 11th and 16th century in Italy. From 16th centuryDutch and English; great trading companies.Lack of productive investment because of hoarding etc. But cities grew and credit developed very rapidly. Sale credit, therefore consumption became higher. Commenda: partnership contractsone or more give a SUM, used by other in business†¦instead of hoarding for example. Some as stock exchange, small and large savings. From 15th compagnia (coastal cities). Inland grew companies better†¦less risks (pirates, bad weather, etc). Involvement of shareholders unrelated to original family marked end of first phase in company history. End 13th century; entries publicly authenticated. Italians: double entry bookkeeping. 6th/17th oversea trade, expansion demand capital. Companies createdEast India Company, stocks and shares. Commenda: not possible without MUTUAL TRUST & honesty in business. Development civil/criminal legislation. Monetary trends: Start 11th century economy + monetary system developed. Middle Ages + Renaissance only coins. Chinese 13th century paper money already. Gold measured in carats, pure measure of gold and silver. Is intrinsic value. During Middle Ages and Renaissance monetary systems progressed. Before 1000- denariuscould work in primitive economies. Silver, 1 coin only.Until the 16th century until the Germans invented a way to mechanize the minting process involving a watermill. Many goods instead of cash (horses, weapons, etc. ) Growing demand for money after 11th century. 2 standards for coins (fineness, weight) !! Extreme: in Germany every prince or individual town strok OWN coins. M=P+(C+S) P:marketprice, M: amount someone brought in, C:charge minter, S:left of worth metal Devaluationsincrease amount in circulation= bring more metal in increase P English relatively strong coin. France unstable (1290) devaluation and r evaluation, economy suffered in France.Also due to 100 year war. Countries coinage shouldn’t belong to a king. Italy different gentler downwards devaluations than in France. Grossi, Piccioli, of denarius new phase with â€Å"multiples† of 1 coint. Bimetallic: system with silver AND gold started in Italy. Supply of metals due to discovery of African coast (Portugese; 1457, cruzado). Afterwards silver founded in parts of Germany, rush towards heavy & chunky coins. Silver â€Å"Guldiner† in Germany. Spanish came back from America with gold/silver = Real of Ocho (Eight). 16th /17th century = intrinsic fineness. 2th century and onward banking activity deposits = intangible = ink. Money. Bankers appeared money changes: intermediaries for public & mints. Depositors/bankers/payees. Bankers always hold certain amount of cash delivered to them in case people want to withdraw it. Just a fraction of total amount in KAS. –>reserve. This is the origin of bank money. In England goldsmiths who collected deposits and created money. Bank money positive development. QUESTION: Were there any economical drawbacks? Many panic, wars, high risks of losing money. Hurry to banks to collect deposits.Not all money was there because bankers only hold a â€Å"fraction† of total deposits. The rest was in investments and loans. Many banks went BANKRUPT. CHAPTER 8: Production, Income & Consumption (pages; 183 t/m 208) The great expansion: 1000-1300: Phase of expansion: new technologies/growth of towns/new sociocultural environment/increased division of labor/monetarization of economy/stimuli to saving, all these factors encouraged economic expansion. 1000- when European development took off, cultivation of land. Fertile land, NEW land. The Christian Reconquista made important progress in Spain. Territory got re-conquered.Drang nach Osten(12-13th century). As the Germans advanced, new cities were founded. By 1300 the movement had slowed down. The German eastw ard expansion was demographic, economic, political and religious in character. Very good land in the east (better capital and techniques brought with them). Expansion to Central Europe, Baltic countries. Everybody in Europe benefitted from it. Untill Ind. Rev. economy remained agricultural. Rebuilding new city walls. As were leading sectors there were leading areas. Northern Italy, bridge between Europe and north Africa. Coastal republics and important crossroads.Seafaring activity was greatly extended. Economic trends: 1300-1500: CHAPTER 9: The Emergence of the Modern Age (pages; 209 t/m 233) 2. Samenvatting Boek â€Å"Arm & Rijk † D. Landes * 1. Ongelijke bedeeldheid natuur * 2. Omgaan met natuurlijke gesteldheid: Europa en China * 3. Europa’s eigen weg * 4. De uitvinding van het uitvinden * 5. De ontsluiting van de wereld * 6. Naar de Oost * 7. Van ontdekkingen tot wereldmacht * 8. Bitterzoete eilanden * 9. Heerschappij in de Oost * 10. Gewinzucht * 11. Golconda * 1 2. Winnaars en verliezers: de balans van de wereldmacht = t/m blz 202 1. Ongelijke bedeeldheid natuur:Invloed van geografische factoren, met name klimaat. Hierarchy betreft gunstig klimaat. Inkomen per hoofd bevolking in rijke landen in de gematigde streken. Onderontwikkelde in tropen of subtropen. Geografische gesteldheid is 1 van de factoren. Eenvoudige rechtstreekse verbanden: klimaat, in warme landen is werken zwaarder, hitte, lichaam. (neem als voorbeeld siesta). Slavernij in warme streken, anderen doen het werk. AC verscheen pas laat. In Amerika al eerder. Klimaatregeling kostbare techniek, weinig armen kunnen zich dat veroorloven. Arbeidsproductiviteit in warme landen lag LAGER.Complexe en indirecte verbanden: Hitte zorgt ook voor verbreiding van voor de mens schadelijke levensvormen. Slakkenziekte (parasieten) , malaria etc. Geneeskunde grote vooruitgang geboekt bij bestrijden dergelijke ziekten. Kolonisten brachten artsen mee, hierdoor inheemse langer leven. Zuigelingsterft e erg minder. Contrast echter nog steeds schrijnend. Tropenziekten + geneeskunde (inheems). Waterregenwoud, veel regen korte tijd, verpest alle vruchtbarheid etc. Uiterste: droge streken. Opslag zou oplossing zijn, maar enorm snelle verdamping. Rampenvijandig klimaatook in rijkere landen, Amerika orkanen bijvoorbeeld.Afrika: sterftecijfer blijft hoog ondanks vooruitgant, ook mede door bevolkingsexplosie. Opvallend verschil in werkkracht en efficiency tussen gematigd en tropisch klimaat. voedingspatroon NOEM EEN DIRECTE EN INDIRECT VERBAND WAAROM WARME LANDEN HET ZWAARDER HADDEN? [zwaarder werken in hitte, AC duur, slavernij] & [hitte zorgt voor verspreiding schadelijke levensvormen] 2. Omgaan met de natuurlijke gesteldheid: Europa en China: Europa: betrouwbare en gelijkmatige waterval + gematigde temperaturen. Voedselvoorziening in handen van mensen met vruchtbare grond. Mediteraanse zee, minder regen, slechtere grond betere bomen en veeteelt.Hierdoor achterstand Zuid-Europa, ook do or culturele factoren. Waarom kwam Europa zo traag op gang na Egypte en Mesopotamiegeografische liggingLigging in wouden/bossen, epidemieen/pandemieen/hongersnood/plagen/oorlogen. Later, technologie om land te bewerken, oorlog te voeren, meer mestmere voedsel, geen wormziekten die China wel teisterden. Europeanen waren gezonder. Echter zeer vruchtbaar slib in oosten. Overstromingen en droogte perioden in China/India. Grote bevolkingsdichtheid, er werd snel getrouwd. Europa pas laat trouwen. China: tussen 1000-1300 verdubbeling bevolking, daarna afname door epidemieen.Steeds meer landbouw nodig om mensen te voeden. Agrarische revoluties. Trokken van noord naar zuid. Uitbreiding graanschuur en enorme concentratie op rijst. Arbeids en waterintensief energiemodelhydraulische samenleving eigen arbeiders, sterke overheid, niet westers. Werd ook tegengehangen. Tijd tot tijd, zonder autoriteit. WAT IS EEN HYDRAULISCHE SAMENLEVING? GEEF VOORBEELD†¦Een  hydraulische samenleving  (ook bekend onder de termen  watermonopolie-rijk  of  hydraulische these) is een sociale of overheidsstructuur, die haar macht ontleent aan de exclusieve controle over de de toegang tot water.Ten grondslag hiervan ligt meestal de noodzaak tot gecoordineerde  irrigatie  of gecontroleerde overstromingen, waardoor centrale planning en een hiertoe gespecialiseerd overheidsapparaat een belangrijke rol gaan spelen. ] 3. Europa’s eigen weg: In de 10e eeuw had Europa net een lijdensweg ondergaan van plunderingen, roof, oorlogen. Noormannen naar zuid-europa en oosterse contreienRussen. Geduchte en wrede plunderaars. Hongaren vanuit het Oosten, bleven niet lang. Hierna, door afwezigheid van agressie kon Europa groeien, mede door ondernemingszin (niet vanzelfsprekend).Tussen oude mediterrane wereld and moderne Europa zit overgangstijdkwam nieuwe samenleving op gang. Orientaals despotisme (alleenheerschappij). Hierdoor niet mogelijk eigen gang te gaan, belemmerde dus de onderneming szin. Middeleeuwen tijd van overgang, Eigendom was recht!!! Europa zag niet toe, reguleerde niet en onderdrukte niet, China wel wat betreft eigendom. Ook despotische regeringen in Europa, maar ingeperkt door de wet. Chinamuren om mensen bij zich te houden, niet overlopen naar rivalen†¦Als er in Europa rivaliteit was tussen landen, goed jegens burgersanders konden ze overlopen.Er ontstonden gemeenten als marktplaatsen. Knoopplaats tot handel met platteland (hogere status). Heersers gaven macht aan stedelingen en buitenluiomdat dat meer oogst opleverde en tevens macht heerser uitbreidde. Middeleeuwen Europa: economische revolutievoedsel, landbouwmethoden, INNOVATIE ipv UITVINDINGEN. WAAROM SPREEKT MEN LIEVER OVER INNOVATIE DAN OVER UITVINDINGEN? [nieuwe methoden stamde al uit eerdere tijden, neem windmill (vertical/horizontal axis voorbeeld OF Ploeg op wielen door Germanen meegebracht]