Infant Mortality in Africa and America
Infant mortality refers to the deaths that occur during infancy and especially in the first year of life. Infant mortality rate varies from one continent to another. In essence, infant mortality rate is the widely used health status of a country and it is helpful when it comes to international comparisons. Africa and America are two widely known continents that have high infant mortality rates and there are few similarities and differences that come up when looking at this issue.
Globally, infant mortality rate has declined between 1960 and 2001 in both less developed countries [LDCs] and more in developed countries MDCs]. In both Africa and America, this has been possible due to the health and mortality reduction initiatives in each continent. In 2008, America ranked 29th globally in infant mortality according to CDC reports. The report further stated that nearly seven babies in U.S die out of 1000 live births and this is more than 28, 000 American babies who die before their first birthday. When it comes to Africa, a report by WHO showed that 63 per 1000 live births occurred in many parts of Africa. This rate was six times higher than in the American regions.
Globally, the infant mortality rate has decreased from an estimated rate of 63 deaths per 1000 live births in 1990 to 35 deaths per 1000 live births in 2012. In the case of American, birth defects and low birth weight were cited as the leading causes of increased infant mortality. This was a survey conducted by National Center for Health Statistics. Babies born to teenage mothers were the most likely to weight too little as report said.
In the United States for instance, an infant is counted if she or he exhibits any sign of life as alive regardless of the month of gestation. It also differs when it comes to African. The American rates of infant mortality were due to high rates of premature babies as compared to other European countries. Other factors that were termed to lead to high rates of infant mortality included obesity or poor prenatal care.
In the case of Africa, infant mortality is inversely related to war, corruption in health related institutions and political unrest. In most cases, war has been the key cause of increased infant mortality in Africa. A war that takes place where a woman is planning to have a baby is quite stressful. Such a case does not affect the woman, but also the fetus. Countries such as Somalia, Angola, and democratic republic of Congo have all reported high cases of infant mortality.
The good news in both infant mortality cases in Africa and America [South and North America] every nation is trying hard to reduce the infant mortality rate. The establishment of the Millennium Development Goals [MDGs] is one of the great initiatives aimed towards reducing infant mortality. Unfortunately, Africa is not likely to meet the goals by 2015. WHO is also focused on reducing the effects of malaria, HIV/AIDS and provide family planning solutions.
It is easy to submit quality comparison sample essay between infant mortality in Africa and America if you know where to seek help. At Essays Experts, we guarantee our clients incomparable services that are also affordable. It is easy to get in touch with our experts via live chats, emails or toll free calls.
Chandra Bahadur Dangi
A lot of incredible information is available in the Guinness Book of World Records. This is a reference book published annually, containing a collection of world records. This includes both human achievements and the extremes of natural world. One of the interesting extremes of nature is the case of Chandra Bahadur Dangi. Dangi is the shortest man in the world and he measures 1.ft 9 inch [0.546 m].
A doctor and a Guinness official measured Dangi to confirm that he is actually the smallest person in the world. He had travelled from Kathmandu in order to be measured by the officials and this marked the first time he had travelled away from his home village. Chandra Bahadur Dangi lives with his nephews in a remote village of Nepal.
He broke a record that was held by Gul Mohammed [1957-1997] the then shortest adult who stood at 1 ft. 10 inch [0.57 m]. He also takes the record of the shortest man in the world from Junrey Balawing of the Philippines who is 23.5 inches [60 centimeters]. Dangi came into the news highlight of the local media when a wood contractor saw him in his Nepal village.
He lives in the isolated Nepalese village of Reemkholi in Dang district. The village has 200 homes, no television and a few solar panels that provide the online electricity. Dangi is looked after by his immediate older brother and his family. He is the seventh sibling and three of his brothers were less than four feet tall, whereas his two sisters and two brothers are of an average height.
Chandra Bahadur Dangi was born on November 30, 1939 and he is a primordial dwarf. This is a form of dwarfism that results in a smaller body size in all stages of life starting from birth. Despite his age, Chandra Bahadur Dangi claims that he has never taken any kind of medication. In addition, he says that he has never been examined by a doctor. He has a normal sized head and regularly shaves, but his body is abnormally small. Moreover, he can walks and climb small stairs. On daily meals, Dangi eats mainly rice and vegetable and occasionally meat and in small portions.
Dangi managed to escape being discovered and his condition exposed for more than 70 years before Guinness found him in the remote areas of Nepal on the Nepalese mountain village of Rhimkholi. According to Guinness, and he spends most of his time making placemats and head straps for villagers. He also helps look cows and buffalos in his village.
After his worldwide recognition, Chandra Bahadur Dangi has been able to travel across Nepal and to foreign countries. He said that he does not want to get married or have his own children. In 2012, Chandra Bahadur Dangi met the world shortest woman, Jyoti Amge of Nagpur, India. In 2013, Dangi and Jyoti posed together for the 57th edition of the Guinness World Records. Chandra Bahadur Dangi is happy to be recognized in the book of records, and hopes good things will come his way and family.
It is not easy to write a sample essay on Chandra Bahadur Dangi if you finding it challenging research extensively. The good news is that, at Essays Experts, we guarantee our clients affordable writing services. Get in touch with us today.
An epileptic spasm is one of the widely known disorders affecting human beings. Epileptic spasms can also be referred to as juvenile spasms, west syndrome or infantile spasms. This is a rare epileptic condition that affects infants, children and sometimes adults. It is one of the catastrophic childhood epilepsies this is simply because it is difficult to control seizures and mental retardation.
Epileptic spasms is one the epilepsy syndromes and most enigmatic because of its symptoms and its effects. The syndrome is called “west syndrome” after Dr. William James West. Dr. West described the condition after studying his own four month son in 1841. This is an epilepsy type that affects about one in 2000- 3000 children. In the UK about 350-400 children will develop epileptic spasms. In essence, there is a rich history out there about infantile spasms [IS].
West syndrome starts between 3 and 12 months of age and may stop by the age of 2 to 4 years. This syndrome is quite rare and about 60% of infants affected have some brain injury or disorder before seizures start appearing. For some infants or children is different as they may not have injuries, but the condition may develop normally.
Young children having epileptic spasms usually experienced a number of symptoms. In all cases, infantile spasms occur in the first year of life and the attacks are brief and infrequent. This condition is characterized by epileptic seizures which can be observed as sudden, severe myoclonic convulsions of the entire body , convulsions of the throat and neck flexor muscles and as jackknife attacks or a rapid bending of the head and torso forward. Some children develop autism or develop other kinds of epilepsy.
The key mechanisms that cause epileptic spasms are still unknown. In many cases, it is imagined to be as a result of malfunction of neurotransmitter. More precisely, it is conjectured that Infant spasms is as a result of a malfunction in the regulation of the GABA transmission process. With ever growing number of medical researchers, it is believed that epileptic spasms may be as a result of the Corticotropin-releasing hormone [CRH]. Effects of certain medications administered to young children may also be the core cause of infantile spasms.
The epileptogenic mechanisms or infantile spasms is not well understood, but there are ways through which this condition has been diagnosed or treated. Compared to other types of epilepsy, epileptic spasms is difficult to treat. To increase the chances of successful treatment and be able to take care of any long lasting effects, it is wise to go for early diagnosis. The treatment should also start right away.
Treatment differs from one individual to another and depends on the cause of the West syndrome and the state of the brain development of the young child. Steroid therapy [Adrenocorticotropic hormone [ACTH] injection or prednisone] can help greatly. It is also wise to go for a therapy with Vigabatrin [Sabril], Topamax [topiramate] or Valproate [Depakote] before steroid therapy. Noteworthy, as you seek treatment for epileptic spasms, make sure that you go for an experienced center and deal with professionals as a lot of caution is essential while administering these medications.
It is not that easy to write a sample essay on epileptic spasms. Fortunately, at Essays Experts we guarantee our clients incomparable and budget-effective sample writing services.
Infant mortality is the death of a child less than one year of age. It is also grouped together by the national statistics with childhood mortality which is the death of a child before the child can celebrate his or her fifth birthday. There are ten millions of infants and children who died on annual basis in the globe and this is usually before their fifth birthday. 99% of these deaths are known to occur in developing countries.
Infant mortality rate [IMR] is the number of deaths of children who are less than one year of age and as per 1000 live births. It is easy to calculate the IMR of an area or region. Here, experts have to take the number of children dying under the age of one year and divide by the number of live births during the year and multiply it by 1000. There are different forms of infant mortality that you need to be well-versed with. This includes neonatal mortality which is the newborn death occurring within 28 days of postpartum and it is attributed to lack of adequate health care during pregnancy or after delivery.
Postneonatal mortality is the death of children age 29 days to one year and it is attributed to malnutrition, environment problems and infectious diseases. Perinatal mortality is the other form of infant mortality. It is the late fetal death [within 22 weeks gestation to birth] or the death of a newborn within one week of postpartum. These deaths are usually used a way to measure the well-being and health of a nation. Factors that affect the health of a country can also impact the mortality rate of newborns. Factors such as age, race and ethnicity also create differences in infant mortality in globe.
There are factors that are cited as the core causes of infant mortality. In many occasion newborns grow and thrive, but for every 1000 babies born, six die within their first year. Many cases of infant deaths are because of the fact that some babies are born with serious birth defect, born too small or too early. There are other infants who are victims of sudden infant death syndrome, injuries or affected by maternal complications of pregnancy. Environmental or social barriers are the other common causes of increased infant mortality. 86% of the deaths that occur in developing countries are due to infections, premature births and perinatal asphyxia.
With the improving economy and advancing technology, it is easy to prevent and reduce the high cases of infant mortality. With improved health and well-being of the people in the globe, it is easy to enjoy every moment in life. Through the Millennium Development Goals [MDGs], it has been easy to reduce the number of mortalities within the infants and childhood population by two-thirds.
This means that the set goals are to decrease mortality from 95 to 31 deaths per 1000. With such goals in mind, it is a great strategy for the involved countries to abide and reduce the infant mortality rate within the set period. Granting women employment and education is another great way to reduce the mortality rates in our countries. Availability of modernized and affordable medical care and facilities will also help reduce death of infants and children.
Are you running out of time writing a sample essay on infant mortality? If yes, do not fret as at Essays Experts we guarantee incomparable writing services. Our writers operate on 24/7 basis and any order that you will make will be worked immediately.
International Law Association
International law is a set of rules that are generally regarded and accepted as binding in relations between nations and states. It serves as the framework for the practice of stable and organized international relations. International law differs from the common state-based legal systems and it is primarily applicable to countries rather than private citizens. In some cases, national law may become international law when treaties delegate national jurisdiction to international criminal court or the European Court of Human Rights.
International law association [ILA] is a non-profit organization that is based Great Britain with its headquarters in London and it was founded in Brussels in 1873. The ILA holds it biennial conferences and releases reports of the same for the benefits of the international community. The conference does not have any restrictions as members and outsiders can participate in the conference at a cost.
The International Law Association keeps several committees and study groups that analyze specific facets of the international law. The law findings of these groups are distributed to its members a number of times in a year. The association has 75 conferences that have enough target audience every day. The main objectives of the International Law Association are to promote the study, interpretation and advancement of international law, public and private, making of proposals for the solution of conflicts of law and the study of comparative law.
The international law association also helps in furthering international understanding and goodwill among people of Australian citizenship and the native residents in Australia. International law has helped promote co-operation and mutual development in many countries. Effectiveness of the international law has also helped the international community to create a better legislative net that would aid in the regulation of the relationship between the involved communities.
International law is no longer restricted to regulating relationships between states and can aid in any issue that presents elements of international character. Today, the international law has extended its hand and it has made it easy to offer protection against the criminal actions or cases such as genocide and crimes against humanity especially if these criminal actions are made by individuals. Such responsibilities have been assigned to judicial bodies such as International Criminal Court.
There are numerous activities that are performed by the international law association. This is includes organizing special events such as public lecturers and other functions of relevant international law. The ILA also provides members of its committees by effectively conducting research and preparing reports on topics of the international law. Finally, they also help arranging prizes and internships.
It is easy to become a member of the international law association. Joining the association makes it easy to enjoy corporate support. From the Australian Branch, firms such as Allens, Baker & McKenzie, Clayton Utz and Marque Lawyers make it easy to get the much needed corporate support. Interested students can also join the ILA and gain more experience on the field. Those who are competent enough can also gain job opportunities and succeed in the law field.
If in need of high quality sample essay on international law association, it is easy to make an order at Essays Experts. Our samples are high quality and you just need to fill an order form, choose the best writers and make payment. Enjoy this opportunity now.
Definition of activation function
An activation function in computational networks as a node that defines an output depending on its set of inputs. Generally, an activation function is said to be one of the most essential parameters in neural networks. When selecting specific nodes of an activation function it is necessary to be careful. It is also important to ensure proper training is done with a neural network because this determines how an activation function works with the network.
The roles and types of activation function
However in biological neural networks it is an abstract representation of the actual potential of the firing in a cell. The activation function in this case can be binary in the sense that it is not firing any cell.
There are several types of activation functions and they each play a unique role:
- Identity function. This is usually used with input unit. In some instances the net input can be multiplied with a constant in order to form a linear function. It is illustrated using the equation below:
g(x) = x
- Binary step function. This is usually used with single layer networks and is sometimes referred to as the Heaviside function or Threshold function. The output of this function is limited to two values, 1 or 0. If x is greater or equal to theta (θ) then the output value will be one. However, where x is less than theta then the output value will be equal to 0. It is illustrated using the equation below:
g(x) = 1 if x ≥ θ
g(x) = 0 if x < θ
- Sigmoid function. This function is best used with the neural networks especially when they are trained using backward propagation method. It is mainly preferred because it can dramatically reduce the burden of computing during training and is also very easy to identify. This function is used with the outputs which lie between 0 and 1. It is illustrated using the equation below:
- Binary sigmoid function. This function bears similar characteristics with those of the sigmoid function. However, these functions are usually used with the outputs whose values lie between -1 and 1. They can be illustrated using the following equation:
Choosing activation functions
Generally, sigmoid functions are more popular than any other types of activation functions. Where there is need to
introduce the element of non-linearity into a network, activation functions are used together with hidden units. Even though linear functions are important, the non-linearity or capability to characterize a non-linear function is the element that makes multilayer networks more powerful in training. Non-linear functions can therefore facilitate training over any network.
Nevertheless, it is important to consider the methods used in the training. For instance, in back propagation method, the non-linear function must be differentiable. It might also be necessary to bind the values. Activation functions should also be chosen carefully so as to suit the distribution of target values especially when used with output units. When used with sigmoid functions, the outputs should be scaled so that they are in the same range as the output of the activation function.
Where a target value has no bounded range, then it is better to use the unbounded activation functions. In most cases, the identity function is preferred under such circumstances. An exponential output activation function is also used in instances where the target values are positive yet have no known upper limit.
Is your assignment stressing you? Do you need help in writing an essay on activation function? You do not have to worry when our expert essay writers are here to help you. Visit us at Essays Experts and place your order with us today.
Association Rule Learning
Definition of association rule learning
Association rule learning is a technique used to discover underlying relationships in a large repository of information found in a relational database. It is used mostly by businesses to determine the relationships between their sales, supplies, employees and clientele among other things. Most association rules are made in formulaic or statement form. For instance if a client purchases eggs and bread, they are 80% likely to purchase milk as well.
In association rule learning, association rules are usually split into two:
- An antecedent (if) which is found in the data
- A consequent (then) which is found after combining the antecedent with a particular item
Useful concepts in Association Rule Learning
The association rules are created through analysis of data in order to determine frequent “if/then” relationships. There are some vital concepts that are normally used to determine the most important frequent relationships:
- Support – this is an indicator of the frequency with which particular items appear within the repository or relational database. It measures the significance of a particular data set or variable. It also helps to eliminate or prune the items that appear infrequently from the database and hence narrow down the variable-relationship search. The main downside of this concept is that it can prune out important items from the data set especially if they appear less frequently.
- Confidence – this is an indicator of the number of times the “if/then” relationships deduced have been confirmed as true. It is also called strength and data derived from support calculations is used to determine the confidence. The downside of confidence as a concept is that it is calculated in such a way that any consequents which have support levels will automatically have high confidence regardless of whether the items involved have minimum or maximum association.
- Conviction – this is a concept that was developed with the aim of accurately capturing the directions of associations between items. Since confidence failed to take into account the accuracy of the associations, the conviction would do so by taking into account information regarding the absence of the consequent.
- Leverage – this concept measures the difference of the units appearing together in order to determine which independent variables can still be categorized together as an antecedent and consequent.
- Lift – this concept determines the probability that two variables would co-occur even if they were independent statistically.
Importance of association rule learning
Association rule learning is a subject that has been extensively researched and written about. It is important in different fields and has been used in the following areas:
- Businesses use association rules to predict customer behavior and shopping patterns.
- Association rules are used in shopping basket data analysis which is commonly done by supermarkets and chain stores.
- It also helps in product clustering and positioning especially for products that have high association levels.
- Association rules are used in designing catalogs in accordance with the preferences and tastes of a targeted clientele.
- These rules can also be used in store layouts and designs.
- In programming, the association rules are used in building programs that have machine learning abilities.
You do not have to struggle with your essay on association rule learning anymore. We have the best writers at Essays Experts who are ready to help you write any type of essay. Our assignments are very affordable and of high quality. Visit us today and place your order with us.
How Backpropagation Works with Artificial Neural Networks
What is backpropagation?
Backpropagation is an abbreviation which originally stands for “backward propagation of errors”. It is a technological method used in training artificial neural networks. Artificial neural networks are ideally used to solve problems that cannot be solved using the traditional computational methods. The artificial neural networks learn from different inputs how to carry out desired tasks and generate varied outputs. Backpropagation is generally used in situations where there are huge sets of input or output data yet it is difficult to relate this to the output.
In general, backpropagation is a supervised learning method that generalizes the delta rule and works with a particular dataset of outputs. These desired outputs for the different inputs form the training set for the artificial neural networks. Backpropagation is very useful in training of feed forward networks and it requires for activation functions used in the artificial neurons to be easily differentiated. Most networks that use backpropagation therefore do not have feedback.
Phases of backpropagation
The backpropagation learning is carried out using specific algorithm. This algorithm is divided into two major phases. During training, each of these phases is repeated until the performance of the artificial neural network is satisfactory.
- This is also divided into two steps. The forward propagation is the first step and it is where the training pattern’s input is fed through the neural network so that the propagation’s desired output activations can be generated. The backward output is the second step and this involves generating the deltas of every output and hidden neuron by propagating output activations using training pattern targets.
- Weight update. There are two steps involved here. First, the output delta is multiplied with the input activation to get the gradient of the weight. Then the ration or percentage of the gradient is subtracted from the weight. In this case, the ratio is important because it determines the learning rate as it influences the quality and speed of learning. A greater ratio therefore indicates faster training for the neutrons. A lower ratio on the other hand indicates high accuracy of the training. The gradient sign of the weight can be positive or negative and it will indicate areas where the errors are on an increase. The weight must therefore be updated in opposite direction.
Modes of learning in backpropagation
In backpropagation, there are three modes of learning that can be used with the neural networks.
- The online mode of learning. This mode of learning is preferred with dynamic environments especially those that provide continuous streams of new patterns during training. Here the propagation is immediately followed by a weight update.
- Stochastic mode of learning. This is used with more static patterns. This method goes through the data sets in a random order. It is also fast because like the online mode of learning, the weights are updated immediately after the propagation.
- Batch mode. It is more or less similar to the stochastic mode of learning in that it also makes use of static patterns. However in this mode of learning, several propagations must occur before the weights are updated.
Are you stressed about your essay on backpropagation? Why, when we have expert writers on this and many other subjects at Essays Experts? Visit us today and place an order for your paper. We will never disappoint you.
Business Intelligence Application
Definition of business intelligence
Business intelligence is a set of techniques, theories and technologies that businesses use in order to transform large amounts of raw data into meaningful and useful information for the purposes of improving the business. Business intelligence is mostly done through varied software applications. Some of the activities included in business intelligence are:
- Online analytical processing
- Data mining
- Multidimensional aggregation of information and allocation
- Optimizing key performance indicators
- Statistical inference
- Budgeting and forecasting
- Process management
- Group consolidation
- Open item management
- Business analytics
- Complex event processing
- Text mining
- Predictive and prescriptive analytics
- Online analytical processing
Application of business intelligence
Business intelligence is now being used by several renowned companies including several supermarket chains, restaurant chains and even professional sport teams. These companies have experienced success by utilizing business intelligence software in the following manner:
- Using measurement programs that create a history and hierarchy of performance. This shows the management the progress the business is making towards achieving its set goals and objectives.
- Using the analytics programs to assess the performance of the business against set goals and market trends. This helps the business managers and leaders to come up with optimal decisions that can propel the business forward and also utilize resources at hand more effectively. It may involve several technological processes such as data mining, predictive modeling and prescriptive analysis.
- Use enterprise reporting program and software such as data visualization and executive information system to build relevant infrastructure for strategic reporting. This enables to focus on and execute strategic decisions in the business and as such employ strategic management effectively.
- Use collaboration platform program to get perspectives of both internal and external stakeholders of the business. This is done through electronic data interchange and data sharing. It helps the business leaders to encompass relevant data and ideas in their decision making.
- Using knowledge management program to facilitate practical strategic management and adoption of insights that are based on factual business knowledge. This helps the business leaders to gain better management skills and also effect regulatory compliance practices.
How to make business intelligence work
Since every business is different, business intelligence cannot be incorporated as a one-size-fits-all measure. It requires technical planning and a specific focus on the business goals at hand. Not every business will automatically succeed by implementing business intelligence software. It is thus important to consider the following criteria before launching any software for business intelligence:
- Before initiating business intelligence it is very important to establish a committed and realistic sponsorship team for the project. This team should not only comprise of the management of the business but also external sponsors with a reputable business profile. Apart from offering financial support, the sponsors should set goals and closely monitor the business intelligence project.
- Business needs and goals. The business intelligence project should be initiated after establishing specific goals and objectives that need to be assessed or analyzed. It should not just be launched haphazardly. Rather a team should be set up to establish the needs of the organization and market trends before initiating the project with a specific objective.
- Availability of relevant data. It is necessary to profile the data an organization has before embarking on any business intelligence project. Data used should always reflect the true picture of the organization. It should be rich in content, relevant and consistent. Without proper, high quality data, business intelligence cannot work.
Have you been struggling with your assignments? Do you feel pressured by your essay on business intelligence or any other technological paper? Worry no more. At Essays Experts we have the best writers to help you with your paper. Visit us today and place your order with us for quick, quality and affordable assignment help.
Advantages of Foreign Direct investment in Developing Countries
Foreign direct investments can have very good impacts on the global economic growth. As a result of this, it is always of great importance to the emerging economies or developing countries as some refer to them. It should be noted that through foreign direct investment, developing countries are able to get funding and expertise that is highly needed by smaller domestic companies for their expansion. Over the years, there are quite a number of developing countries that have benefited from foreign direct investment initiatives.
There are several benefits that developing countries have already acquired and will receive from foreign direct investments. One of the advantages is that foreign direct investments allows finances to freely move into the businesses or projects that present the best prospects for growth in developing countries. This is because; investors are always in the rush to acquire the best returns for their investments with the least risk. As a result of this, several companies in emerging economies have been able to get boosts that have earned them great profits, thereby driving upward the GDP of their respective countries.
As a result of the foreign direct investments that developing countries have been receiving, quite a number of businesses within their borders have acquired competitive advantage. Even though this does not completely eliminate the impacts of politics, bribery and cronyism, it has significantly reduced them. This has enabled many businesses to be able to bring their goods and services to the market at the right time and in turn, rake in great rewards. With this, developing countries generate revenues from increased imports and exports, further enhancing their economic stability.
In most developing countries, lack of skilled workforce is one of the major setbacks. However, this is a problem that has been solved by foreign direct investment to grater lengths. To foreign firms that invest in developing countries or any other part of the world, skilled labor is a major concern. Since most developing countries lack have for a long period of time run low on skilled labor, most foreign firms have been pushed to training and education a larger percentage of the workforce in order to conduct their operations. As a result of this, most developing countries can now boast of having skilled labor. In fact, foreign direct investment plays a critical role in human capital development in emerging economies.
Foreign direct investment is also beneficial to developing countries since it allows for the transfer of technology especially in the form of new capital inputs. Since various developing countries lack sophisticated technology but present better prospects for investments, foreign investors bring in advanced technology when starting up projects. The technology not only benefits the investors in their operations but also the residents of the countries where the investments are made.
The profits that are generated through foreign direct investment in developing countries make great contributions to corporate tax revenues in the countries where the investments are made. Thus, the investors as well as consumers will be well cushioned against taxes that may be incurred as a result of high-level taxation.
By simply placing an order for professional academic research writing services with us at Essays Experts, we can help you with papers for all disciplines. Our commitment is to always deliver authentic top notch papers.
Benefits of Cloud Computing for Consumers
Cloud computing is one of the technological advancements that are quickly transforming the way in which people conduct business today. In the past, businesses used to store their digital information with large server firms that in most cases were physically present in the offices. Cloud computing offers users the opportunity to store their digital files and other kinds of information on remote servers in a centralized location for security and easy access. Those who use cloud computing can access their files easily from wherever they are and also at any time that they wish through internet connection.
There are several benefits that consumers of cloud computing can achieve by using the technology. One of the reasons why most businesses are today choosing cloud computing is because of the high level of security that it offers to the users. In the past where people shared servers, there was the fear of hackers breaking into online services and obtaining other people’s data without their authority. However, this has been cut short through the introduction of cloud computing since it gives only the owner of the stored information, authority to access their data.
Another benefit of cloud computing to consumers is that it is very reliable. Whenever you switch your data to the ‘cloud,’ there is no fear of losing information whenever your computer crashes, hardware fails, gets damaged or even stolen. With cloud computing services, your data is never lost. In fact, you can just log in with another machine and find all the information intact. Cloud computing can enable you to have manual backups on your external hard drives so that in case of anything, your data is not lost or even shared with another user. The reason for this is because, cloud computing service providers can always backup your data across several servers in multiple locations so that it is always safe and can be accessed by only you, at your own convenience.
Cloud computing is speed-conscious, meaning that it offers an increased speed whenever you want to download data or even access information. The services that are offered in cloud computing are delivered via the internet and the servers of the service provider. As a result of this, you will no longer be inconvenienced by slow connections and speeds whenever you want to access your data. Besides, updates on cloud computing are done automatically so that you will not be bothered after now again to update features. This avoids the problem of slow connections each time that you want to access information from the cloud.
Cloud computing is also beneficial in that it allows for cost savings. This is an advantage to businesses since it helps in cutting down on the cost of operations. With cloud computing, you only pay for the services that you utilize for a given period of time. Besides, the fast speeds also enable you to save up on costs even much cheaper.
At Essays Experts, we can always offer you professional academic research writing services at all times that you have assignments. We handle papers for all disciplines with a guarantee of original, high quality work that will surely suit your academic needs.
Disadvantages of Cloud Computing
It is true that cloud computing is fast gaining popularity among several businesses across the world today. This is due to the numerous benefits that the technology offers to consumers. However, it is also important that before you switch off to cloud computing, you should know about some of its drawbacks too. In this way, you are able to make an informed decision on whether it is the most ideal avenue that you should pursue.
Just like other forms of technology, there are also a few disadvantages of cloud computing that you should take note of. One of them is the possible downtime that can occur without internet connection. Cloud computing entirely depends on the internet and in case the connection or network is down, the services are equally down. And, if the connection slows down, you will also experience slow speeds in accessing the services. It should be noted that even if the service providers always take precaution to maintain a great uptime, the risk of possible downtime will still exist.
Another setback that can be experienced with cloud computing is that the safety of your data could be compromised. Cloud computing is mainly dependent on the internet, thus, there is always no guarantee that someone else may hack into your information despite the stringent security measures in place. Most cloud computing service providers will always look for and put in place the latest sophisticated mechanisms to ensure that security of their clients’ data is not prejudiced, however, there are chances too that hackers may breach the security system. There is always a possibility that the privacy of the user of cloud services can be compromised.
Data ownership is yet another issue that has raised concerns in cloud computing. In fact, this can be a major setback especially when you have a lot of data to handle. As of yet, there is no clear answer as to who owns the data that is stored on the cloud between the service provider and the party that uploads the data. There are even certain service providers who will not allow you to upload certain types of data. Cloud computing service providers come up with their own terms and conditions which may be arbitrary to consumers. Thus, it is always advisable that before hiring any service provider, make sure that you carefully read and understand the small print in order to avoid any inconvenience.
In case you use programs that require an attachment to a hard drive, you will not have the best experience with cloud computing since that kind of provision does not exist with the services. Even though it is believed that elimination of the use of hard drives enhances data management, it is still a requirement that your business might need. Cloud computing is cost effective, however, that is only in the long run. When you are just starting off, you may need to try out various services before settling on the best one for your business and this can be quite costly.
When looking for help with academic research papers, simply place an order with us at Essays Experts. We are the experts that you can trust to always deliver authentic top notch papers that meet your academic demands.
Factors Affecting Automotive Industry in Germany
The origin of the automotive industry in Germany can be traced back to 1886 when Karl Benz registered his first vehicle that was powered by gas. Germany is renowned to be the home of the first four-stroke internal combustion engine in the world and continues to enjoy a unique placement in the international automotive industry. Currently, it accounts for 17% of the total global passenger car production with its OEMs. Besides, it should be noted that Germany is the sole largest auto market in the entire Europe.
Over the years, the German automotive Industry has been doing well in the global automotive sector. However, a crisis hit the industry in 2009 when the global economic production fell. This was the first time that such an incident was taking place in six decades. The drop mainly hit the commercial vehicles production dropping the in international production by 9%. This did not go down well with the automotive industry in Germany as profits got held up and production also stalled.
Just like most industrialized nations across the globe, Germany’s automotive industry was also hit by the international financial crisis experienced in modern times. The crisis negatively affected the demand and supply trends in the market, impacting the industry negatively. Even though it did not stop the manufacture of automobiles in Germany, it stalled the progress.
Today, the automotive industry in Germany can be said to have successfully made its way out of the international recession. The sector has been able to recover and achieve solid growth in the aftermath of the crisis. In fact, this was clearly evident when the German automotive industry issued an affirmation of its position as the mainspring for the country’s national economy. Today, almost a fifth of the total sales derived from the overall manufacturing sector in Germany is from the automotive industry. In the 1990s, this share only lagged at about 13%.
Technological advancement is a factor that has enabled German automotive industry to experience significant growth over the years. Germany’s introduction of OEMs created a new trend in terms of demand of cars across the globe. In the recent years, the automotive industry has re-invented them to suit the needs of various car buyers around the world with much emphasis on brand management and market leadership. This has enabled the automotive industry in Germany to stay well ahead of the rest in a congested international market.
The automotive industry in Germany has also been able to steadily sail to the top because of its focus on manufacturing cars that meet the needs of various drivers in the market. When the demand for smaller and more energy efficient medium-range passenger cars began to take an upward trend, Germany had already began manufacturing them well in advance. This significantly propelled the industry to the top in the international automotive market. The ability of the industry to manufacture cars that meet the need of different drivers is an advantage that has enabled the industry to experience unmatched growth over the years.
It is only with us at Essays Experts that you can always be assured of professional help with academic research papers. By simply placing an order with us, you are always guaranteed original papers of the highest quality for academic excellence.
Factors Affecting the Automotive Industry in Japan
The automotive industry in Japan enjoyed spectacular success in the 1980s mainly as a result of the ‘lean production system’ applied in the sector. Lean production system can be simply defined as a combination of effective supply system, efficient production system and a product development system. The success of the industry was faced with a downturn in the 1990s due to the Japanese asset price bubble and the appreciation of the currency to the extremes. However, the industry has been able to survive through the hard times and is not currently doing so bad on the global grid. In fact, the Japanese automotive industry is now one of the largest in the world.
Over the years, Japanese automotive industry had been doing so well but a major tragedy that almost brought down the sector struck in the 1990s. The country’s economic bubble burst and became stagnant. This hampered operations in the industry owing to the fact that it had by that time become one of the main contributors. The trough of recession dragged back the automotive industry into a position that production had to be cut down.
The recession that hit Japan almost twenty years ago hit one of the largest car manufacturers in the world Toyota, that has its base in Japan. It made the management of automobile manufacturing operations difficult and the industry had to struggle getting back to its feet. In order to counter this, the industry best player; Toyota was forced to transfer its operations to overseas countries after entering into a joint venture with General Motors. Despite the country’s growing contraction in the automotive industry, the transfer of the corporation’s lean production system to overseas plants has enabled it to brace the hard economic times.
Internalization is a strategy that almost all Japanese car manufacturers adopted in order to counter the economic bubble. However, it has had great impacts on the country’s automotive industry considering that currently, the number of vehicles that are manufactured by Japanese assembles in overseas plants has exceeded that produced at home. Even though internalization has been widely viewed by many as killing the automotive industry in Japan, it has played a role in ensuring that Japanese car manufacturers do not run out of business. It has enabled the car manufacturers to stay afloat amidst the scorching heat of inflation that continues to hurt the country.
In 2011, the Japanese automotive industry was faced yet with another crisis that significantly cut the manufacturers’ profit margins to levels that had never been experienced before. This crisis resulted from the earthquake and tsunami that hit Japan thereby disrupting the operations of the country’s largest chip makers. Besides, the earthquake also destroyed some of the plants of car manufacturers. However, the impact on the chip maker hit the motor industry with a bang since every car manufacturer depends on the custom-made chips in assembling their automobiles. This kept the production levels at less than 50% for quite a long time, hurting the Japan automotive industry as a whole.
By simply placing an order for academic research writing services with us at Essays Experts, you are always guaranteed authentic top notch papers like the piece above. We are always ready to help you with papers for all levels of study and disciplines.
Benefits of Cloud Computing For Disaster Recovery
Cloud computing have for the past years offered numerous disaster recovery solutions. It is a recovery option that does not require a lot of monetary investment. Additionally, it provides offsite management of crucial data in any location and automatically.
With cloud computing, business can keep their IT systems up and running. Whenever there is a downtime or data loss due to unexpected problems, quick recovery is essential. Therefore, cloud helps businesses to restore lost data within the shortest time possible. With cloud, there is no use of traditional back up options.
Cloud computing in disaster recovery also offers the ability for reliable backups in single or multiple locations nationally and internationally.
Cloud computing is a highly affordable disaster recovery solution. It offers low cost options for small and large businesses. It also allows for economies of scale and in the long run, lowers operational or recovery expenses.
With cloud, businesses can also restore data more quickly. This is one of the features that set cloud from other recovery solutions in the market. Cloud offers multiple copies of data that is usually kept in sync and at multiple locations. Data in cloud is stored and protected as it is being created.
Cloud also allows businesses to demonstrate more compliance in disaster recovery. This is based on the fact that it provides a highly functional and secure infrastructure. Therefore, businesses enjoy more control of their operations compared to an onsite data recovery solution.
Cloud is an automatic data recovery solution. Therefore, cases of constant checkups and regular babysitting of IT systems are greatly reduced or completely eliminated.
With cloud computing disaster recovery solution, businesses cut down on their monthly costs. Resources for their businesses can be reserved for use only in the event of an emergency. As a result, it enables business to function effectively and generate the desired revenue.
Cloud also allows business persons to set their metrics. It is easy to determine your recovery objective when using cloud. What’s more, you can easily set the time used in the recovery process. These are essential metrics and you have clearly set them, it also becomes easy to set IT systems and infrastructure to be used in recovery.
Cloud also allows businesses to prioritize IT systems and data. This is essential especially in determining how often a business may need backup and what should be restored first in the event of a disaster.
As a tiered system, cloud computing in disaster recovery can also be used for more strategic business initiatives including e-commerce. It can also be used as a point of sale application.
Cloud computing is additionally used in disaster recovery for all business sizes. Today, many organizations are considering reliable, flexible and recovery solutions that can be controlled to suit the needs of a business. It is this reason that makes cloud an ideal solution.
Businesses using cloud disaster recovery are also in a better position to get back up whenever and wherever, run more efficiently than before and enjoy smooth operations. With the solution, a company also enjoys huge profits.
The essay above is an example of essays written by experts at Essays Experts. We write high quality papers to meet and surpass our client expectations. More importantly, we ensure that you benefit from our services.