Good Topics for Persuasive Speech

Good Topics for Persuasive Speech. When it comes to finding persuasive speech topics, many people, especially students, find themselves struggling to come up with a new issue that will captivate both the writer and the audience. To write a captivating persuasive speech, one must think of a creative topic that will be informative and also persuade the reader. An excellent, compelling argument will help a student meet the persuasive speech criterion, which is to inform, educate, motivate, and convince the audience on how they can achieve a goal.

Tips on How to Select Good Persuasive Speech Topics

Writing an excellent persuasive speech requires a student to begin by selecting or picking the right topic. The issue must be informative and show a firm argument on your perspective and also captivating to grab the attention of the audience. Here are some tips for selecting an excellent persuasive topic;

Choose an argument that interests you or one that you are familiar with

If the topic relates to something that interests you, it will be easier for you to generate ideas. Similarly, the issue will make you more passionate and focused on your writing. It will also make you excited when delivering the speech since words or ideas will not limit you.

Know your audience

Before coming up with an excellent persuasive topic, it is advisable to know your readers since it will help connect with them and also in understanding their expectations and views. To avoid contradicting yourself, it is essential to know the level of education of your audience. It helps in determining the mode of delivering the speech. For example, if you know your speech is meant for professionals, it will be easy to use complicated terms, unlike when an audience is a group of aged individuals.

Avoid selecting controversial topics

An excellent persuasive issue should not be disputable since it will end up losing the audience. So, it is advisable not to pick such a controversial problem since it will not fit the mood of the audience. Good persuasive topics should also not be so simple nor complex. Simple persuasive speeches end up losing the audience since they understand the problem from similar events.

Know the objectives to use

An excellent persuasive topic should utilize objectives. Despite the theme of interest, the argument must have goals that it is seeking to accomplish Objectives make the audience connect more and pay attention to your topic. Knowing the purpose of your speech will also make it easier for you to inform better, persuade, and entertain the audience.

Example of Good Persuasive Topics

1. Disposable sanitary towels are harmful to both the environment and children
2. Water is life, and people need to drink lots of water, especially those in the dry and sunny areas.
3. Animals such as dogs are man best friend.
4. Music is considered to relieve stress.
5. Economy to favors the aged in the society either by providing free medical covers.
6. Is Technology helping to improve lives, or is it limiting human opportunities?

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Good Topics for a Finance Essay

Developing finance essay topics may seem easy, but it is daunting. A wrong topic could cost you good grades and even make you repeat the module. To avoid such mistakes, most students tend to buy a finance essay online, or merely seek the homework assist services of expert finance writers.  However, all these can be avoided if one selects an excellent finance essay topic.

What to Consider When Selecting Finance Essay Topics

There are certain aspects one should put in mind as they are selecting the areas of interest to discuss in their essay. These entail;

1. Choose a viable topic

Selecting a good question is mandatory. Thus, do not be hasty when deciding what to discuss in your finance essay. Sometimes a problem seems exciting, but you end up identifying that it has no research questions. Hence, as you select the topic, look at certain aspects. These include the prevalence of the problem, research aspect, and its arguments and counterarguments. A student should also pick a theme that they are passionate about and one they comfortably tackle.

2. Follow the 5-paragraph essay structure

Most people tend to be very wordy in such essays, forgetting that they are not writing a novel but an article. Do not fall victim to this. To help you out in your finance essay writing, students are advised to use the 5-paragraph essay structure that helps in eliminating wordiness. More so, this structure also enables a student to discuss each point in the writing exhaustively.

3. Pay attention to your thesis statement

It is mandatory to have a thesis statement in an essay. It tells the reader what your essay is all about. To choose a thesis statement, all one has to do is ask themselves, ‘what does my finance essay tackle?’ The answer to that question will help you have an idea on what your thesis should be. One point to note is that your argument should be brief and precise. Do not explain it. Just state it since it will be discussed in the essay.

4. Create an outline

An overview always guides brilliant finance essays. Thus, create a framework for your essay, writing what point will be discussed in every segment of your article.

Examples of Brilliant Finance Essay Topics

Here is a list containing brilliant finance essay topics from where you can choose one from;

• The current Issues on global currencies
• The impact of privatization on profitability
• Has micro-financing and the global recession changed the importance of credit in liability management?
• The primary determinants of the dividend payout ratio
• Profitability analysis of selected nationalized banks in the United States
• The impact of well-developed banking systems on the economy of a country
• A review of internet commerce and stock market crises
• The influence of external and internal factors on international product adaptation strategy and export performance
• The pros of global diversification and the people who benefit from it most
• The Future of Internet Banking
• Capital employment of state-owned enterprises in the United States

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Do Clothes Makes a Man?

One question continues to linger, do clothes makes a man? According to the researchers, it is revealed that what a man wears affects how he perform and think. Throughout the history, there is an urge for a man to put on clothes in some shape, amount and style. Man is able to extend himself into the society by the way he wears the clothes. However, clothes are used in ways like hiding and protecting our identity. Moreover, wears also creates false identity and are also used to communicate something vital concerning ourselves. Clothes help man outwardly how he feels within hence conveying his sense of being non-verbally to the world.

Most clothing pieces carry a figurative meaning. Judge rob represent justice, power is signified by expensive cloth and white lab coat represent attentiveness and scientific focus. Wearing suit and tie raises the performance at work place. People who look neat at employment place can earn more than other guys. Men should keep a style since nice clothing sell one’s confidence (Hotchkiss, 2012).

Wears can also play an important role in protection against intimacy. The style in which man dresses can deny him an intimate look. When a person stands without cloths, they are exposed to most undeveloped way. Clothing plays a major role in the way man live, and how he will be treated or pictured. People may not have enough money to buy clothes and this can deny them opportunity in their lives. Wearing some cloths can limit a person from making friends, good job and relationship. Judgment can be made upon the mode of dressing hence every person should know their true self.

Conclusion

People from all over the world have different personalities. Countries like U.S holds diversity hence resulting to acceptance of how people dress. With respect to the working environment, people should dress properly.

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Digital Image Processing

Digital image processing represents a set of specialized techniques as well as computer processing tools used to enhance the visual appearance of as well as extract information from remotely sensed images. Moreover, it is applied in rectifying imagery to match the selected map base. The digital image processing have 5 broad categories:

1. Image Restoration and Rectification
2. Image Enhancement
3. Information Extraction
4. Biophysical modelling
5. GIS Integration

Digital Image Processing

Image Restoration and Rectification

The operations of image restoration and rectification adjust the image values as well as geometry for purposes of correcting for errors and limitations in the sensor system. Evidently, this help in minimizing the atmospheric effect. Furthermore, it change the image geometry to match a convenient geographic reference system.

In image restoration and rectification uses two techniques:

1. Radiometric corrections
2. Geometric corrections.

Digital Image Processing

Radiometric Corrections.

The radiometric corrections are considered necessary because the sensors are usually affected by factors such as:

• Variation in scene illumination.
• Atmospheric conditions
• Sensor characteristics and viewing geometry.

The radiometric corrections are also considered critical in removing the periodic malfunctioning in the component of the sensing system. Commonly referred to as image noise, it may represents the image as;

• Missing scan lines
• Line dropouts
• Salt and pepper e.t.c.

The image correction techniques play a considerable role in eliminating the appearance of these errors. It does this through estimating the replacement values based on the neighboring pixel. Atmospheric correction usually represents a name given to a group of image processing techniques applied in reducing the degradation of image quality which is caused by atmospheric interference.

Lastly, the correction approach range from physical modelling of the energy transmission through the atmosphere to empirical approximations of spectral changes.

Digital Image Processing

Geometric Corrections

Before the remotely sensed images can be brought into a GIS system, the images must be geo-rectified, a process which enables the geographic coordinates of each pixel to be determined at a level of accuracy suited to the intended use. In image analysis, this process is usually referred to as geometric rectification. The geometric distortions usually arise from the following:

1. Variation in altitude
2. Variation in attitude and velocity of the sensor.
3. Variation in characteristic of scanning mechanisms.
4. Relief displacement.
5. Skew distortions.

The geometric distortions are taken care of by applying geometric corrections in a two step process:

• Mathematical transformation function
• Resampling

The most common approach applied for georeferencing is the ground control points approach. This mainly involve the identification of numerous control points and determining their location in the image and their geographic coordinates from field observation or from referenced source such as topographical map of a suitable level of accuracy. Evidently, the choice of the ground control points is usually features or points which can accurately be determined. The number of points needed depends on the terrain and image characteristics as well as the level of geometric accuracy needed.

The translation applied are usually first and second order polynomial functions which are automatically generated in software from a set of user specified control points. Once an acceptable set of transformation equations have been derived, the rectified image is generated by resampling which represents the process of generating a new image with different geometric traits.

Digital Image Processing

Resampling Algorithms

Based on the application, one of the three resampling algorithms can be used. The three algorithms are;

1. Nearest neighbor
2. Bilinear interpolation
3. Cubic convolution

The nearest neighbor method calculate the center of each pixel in the outer image, finds the corresponding location in the original image as well as uses the value of pixels whose centre is nearest. Bilinear interpolation, one calculates the distance weighted mean from the four nearest neighbors. Additionally, the cubic convolution calculate the distance-weighted-mean from a block of 16 pixels in the input image surrounding the output pixel.

Note:

• The nearest neighbor resampling does not change the original pixel values. On the other hand, bilinear interpolation produces a smoother image when compared to the nearest neighbor method. Additionally, the cubic convolution yields the most visually appealing results. It remains the most preferred for visually interpretation of images.

Digital Image Processing

Image Enhancements

Refers to a number of processes which involves visual interpretability of an image through applying algorithms to brightness, contrast and color radiations of features in the image. Evidently, enhancements facilitate the visual interpretation as well as enhance image data to its preferred values. Some of the common image enhancement techniques include:

1. Brightness and Contrast Enhancement.
2. Edge Enhancement.
3. Information Extraction.

Digital Image Processing

Edge Enhancement

This is usually applied to improve the appearance of spatial patterns present in the data as well as edge in any place where there is an abrupt change in pixel. Edge enhancements play an important role in making light tone lighter and dark tone darker. Furthermore, edge enhancement is very useful for a variety of applications including cartographic displaying, urban planning and geologic mapping.

Information Extraction

There are different methods of extracting information from remotely sensed images such as:

• Extraction of indices, physical quantities and specific features.
• Image classification
• Change detection

Digital Image Processing

Extraction of indices

Vegetation, its type, condition and presence is of key importance to human activities. The vegetative indices usually provide the structure, amount as well as the condition of vegetation. Moreover, they are also used in deriving physical parameters such as Leaf Area Index. Furthermore, they find great usage in deriving percentage of Grain Matter and Biomass.

Additionally, the vegetative indices are valuable for monitoring changes in vegetation conditions and seasonal development over type and facilitate comparison of vegetation in different regions. Evidently, they find wide range of regional and global scale physical studies including. Furthermore, climate, biochemical and hydrologic modelling and natural resources inventory and monitoring. Moreover, land use planning , agricultural crop monitoring and forecasting and deforestation studies. Moreover, there is assessment of rangelands, condition and grazing capacity, desertification and drought forecasting, population studies as well as public health issues.

The normalized differences vegetative index calculated from sensor visible red and near-infrared bands represents one of the broadly applied vegetation indices

 

Digital Image Processing

Digital Image Classification

It represents categorization of data into useful groupings. The process of image classification involves the following stages:

1. Definition of classes
2. Obtaining the training data.
3. Generating spectral signatures.
4. Actual classification.
5. Accuracy assessment.

It is imperative to come up with a detailed classification which will help in distinguishing characteristics necessary for the application.

Digital Image Processing

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Dealing with depression among college students.

Dealing with depression among college students. There is a myth that depression can only occur in elderly individuals. However, research shows that depression can happen in an individual at any age. Some of the most dominant individuals prone to acquire depression are students in college.

College students are more susceptible to acquire depression or be more depressed due to factors such as increased school work, increased stress from school, low finances, or even being homesick. The primary thing that makes depression more common to students in colleges is the fact that they confuse it for sadness or stress. However, these are different. Depression tends to be more severe but treatable if one seeks medical help. Here are the strategies that can be executed or tips that can be undertaken as a means of fighting depression in college students;

Engage Students in Psychotherapy

Although most students hate psychotherapy and guidance and counseling sessions, they help determine what underlying factors trouble a student. An education facility like a college or university can hire a trained mental health professional, who can help students to address issues that are bothering them. Psychotherapy is one of the identified methods that help reduce the symptoms of depression in a student, as well as preventing future depression in students.

 

Establish Exercises as a Routine in the College

Sometimes all a student needs is to engage in an activity that will make them more mindful and forget the troubles in their lives. Some of the conscious activities that facilities can urge college students to undertake include yoga sessions, meditation classes, retreats, or even therapist sessions. Sessions such as yoga relax a student’s mind and tend to mitigate the symptoms of depression

Encourage Students to Strengthen their Social Connections

Although students go to colleges with the aim of learning, they are also to socialize and make new friendships. Dealing with depression among college students. Since majority of the students tend to move away from friends and family members when they go to college, meeting new people can tend to be challenging to them. Although it is overwhelming at first, once the friendships become stable, a student is no longer alone. Trying to meet and make new friends is ideal for one’s mental health and reduces the chances of a college student becoming depressed.

• Students should Improve their Sleeping Habits

There is a tendency for students to spend the better part of their night partying. This makes them get little to no sleep. This makes them show up for classes drunk in sleep. The thing students do not realize is that sleep is good for mental health. It also helps prevent stressful events that could lead to depression. Students are advised to learn how to prioritize, since it makes them acquire better sleep. They should also plan for their urgent tasks, and allocate time for their social life. Dealing with depression among college students.

• Students Should Set Healthy Boundaries

Setting boundaries is the first step a student is urged to take to fight depression. It goes to mean that they should avoid stressful events, events that make them have uncontrollable pressure or those that make them easily mad.

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