Is It Right for Vegans to Eat Honey

Animal rights activists and vegans are faced with a kind of dilemma when it comes to honey. Since vegans don’t include anything other than plant-based foods to meet their nutritional needs, honey is (at least in theory) off the menu. But its not that simple: many vegans argue that there are excellent reasons for eating honey. While it’s true that bees are not killed for their honey, hard-core vegans argue that because honey comes from bees and bees are animals,  honey is an animal product  and therefore not vegan. It’s the product of exploitation of an animal, which makes it an animal-rights issue. On the other hand, many argue that other forms of sweetener and virtually all forms of agriculture involve the killing of insects; in fact, keeping bees and eating honey may cause less pain and fewer bee deaths than avoiding honey. What Is Honey? Honey is made out of flower nectar by honey bees, in a  two-step process  involving two types of bees: older worker bees and young hive bees. Thousands of bees work together to produce hundreds of pounds of honey over the course of a year. The older worker bees gather nectar from flowers and swallow it. The bees then regurgitate the nectar when they return to the hive and the younger bees swallow it. The younger bees then regurgitate it into a cell of the honeycomb and fan the honey with their wings to dry it before capping it with beeswax. The  purpose  of turning nectar into honey is to store the sugars to be consumed in the future. The bees convert the nectar to honey because nectar would ferment if it were stored. Why Dont Some Vegans Eat Honey? Keeping bees  for commercial or hobby purposes violates the bees rights to be free of human exploitation. As with  companion animals  or  other farmed animals, breeding, buying, and selling animals violates the animals rights to live  free of human use and exploitation,  and bees are commercially bred, bought and sold. In addition to  keeping bees, taking their honey is also exploitative. While beekeepers will say that they leave plenty of honey for the bees, the honey belongs to the bees. And, when more honey is needed for the beekeeper to make a profit, they may not leave plenty of honey behind for the bees. They may, instead, leave behind a substitute, basically, sugar water, which is not nearly as rich in nutrients as the honey. Furthermore, some bees are killed every time the beekeeper smokes the bees out of their hive and takes their honey. These deaths are an additional reason to boycott honey; even if no bees were killed during honey collection, the exploitation of the bees would, for some vegans, be reason enough. Bees and Animal Rights While  experts disagree  as to whether insects feel pain, studies have shown that some insects  avoid negative stimuli  and have a  more complex social life  than previously believed. Because insects may be sentient and it costs us practically nothing to respect their rights and avoid insect products like honey,  silk,  or  carmine, vegans abstain from insect products. There are, however, some self-described vegans who do eat honey and argue that  insects are killed in other types of agriculture, so they are reluctant to draw the line at honey. Pure vegans point out the line between intentional exploitation and incidental killings, and beekeeping falls into the former category.   The Other Side of the Argument But do vegans necessarily have to avoid honey? Surprisingly Michael Greger, M.D, one of the leaders of the animal rights movement and a well-respected author, physician and vegan nutrition specialist writes in his blog for  Satya, â€Å"A certain number of bees are undeniably killed by honey production, but far more insects are killed, for example, in sugar production. And if we really cared about bugs we would never again eat anything either at home or in a restaurant that wasn’t strictly organically grown—after all, killing bugs is what pesticides do best. And organic production uses pesticides too (albeit â€Å"natural†). Researchers measure up to approximately 10,000 bugs per square foot of soil — that’s over 400 million per acre, 250 trillion per square mile. Even â€Å"veganically† grown produce involves the deaths of countless bugs in lost habitat, tilling, harvesting and transportation. We probably kill more bugs driving to the gro cery store to get some honey-sweetened product than are killed in the product’s production.† Hes also concerned that over-zealous vegans will turn off a lot of potential new vegans because it makes our movement look radical if even bees (bugs) are considered sacred. He makes the point that most non-vegan, self-titled animal lovers may be persuaded to adopt a vegan diet if we appeal to their love of animals. But forcing new vegans to give up honey may be going a little too far. Dr. Greger makes a good point when he says that for every potential vegan we lose because of our rigidity, millions of food animals continue to suffer because that would-be vegan has decided its just too weird or complicated to try a vegan diet and, after all, inertia is so much easier.   Colony Collapse  Disorder Scientists are still trying to sort out the mysterious problem of Colony Collapse Disorder. Bees are dying at an alarming rate, and entomologists are finding dead bees and mostly unpopulated hives in all parts of the country. From an animal rights standpoint, it’s imperative that this catastrophic state of affairs be sorted out before more animals die. From the standpoint of a human being who depends upon agriculture to put food on the table, it’s essential this problem be solved since bee pollination is what makes plants grow. Ethical Beekeepers But what if we could solve the problem of CCD and create a vegan honey that’s ethical enough for even  hard-core vegans to approve at the same time? If you are a vegan who likes a little honey with your hot tea, you may be in luck. Ethical, organic and enlightened beekeepers are starting to challenge the status quo and in the process, may be helping to put a stop to CCD by starting up new colonies and keeping a close eye on them. In an article published in Elephant Journal, a website about enlightened living; writer and beekeeper Will Curley argues that keeping bees can be non-exploitative whether you are profiting from their honey or not. He writes: â€Å"As with all things, there are shades of gray in the morality of producing and eating honey. Not all honey is cruelly produced, nor is all honey ethically produced. The important thing is that  some  beekeepers consistently put their bees and the health of the environment first.† If you want to help the effort to restore the population of honeybees to pre-CCD numbers but don’t want an actual hive of your own, the USDA recommends the following solutions the general public can implement. Plant lots of bee-friendly plants that make bees happy. A quick Google search for plants that thrive in your area will help you make a list. Also, avoid using pesticides as much as possible, opting for organic gardening and using â€Å"friendly bugs† to devour the harmful bugs.

Bipolar Disorder Symptoms And Symptoms - 831 Words

Bipolar Disorder Definition A disorder associated with mood swings ranging from depressive lows to manic highs. Formerly called manic depression. When a client becomes depressed, he or she may feel sad or hopeless and lose interest or pleasure in most activities. Bipolar disorder is a disruptive long-term condition, clients can keep his or her mood swings in check by following a strict treatment plan. Causes Biological differences: people with bipolar disorder appear to have physical changes in his or her brain; Neurotransmitters: an imbalance in naturally occurring brain chemical called neurotransmitters seem to play a significant role in bipolar disorders and other mood disorders; Inherited traits: more common in people who have a first†¦show more content†¦Treatment Initial treatment- start taking medications to balance mood immediately; continued treatment- lifelong treatment even when he or she feels better; day treatment programs- provide support and counseling to get feelings under control; substance abuse programs- difficult to manage bipolar disorder with other problems; hospitalization- getting psychiatric help at a hospital can help keep the client calm and safe and stabilize his or her mood Medications Mood Stabilizers: Lithium (Lithobid), valproicacid (Depakene), dival proex sodium (Depakote), carbamazepine (Tegretol), Lamstrigine (Lamictal) Antipsychotics: Olanzapine (Zyprexa), Risperidone (Risperdal), Quetiapine (Seroquel), Ariprazoe (Abilify), Ziprasidone (Geodon), Lurasidone (Latuda), Asenapine (Saphris) Anti-Depressants: Vortioxetine (Brintellix), Imipramine (Tofranil) Nortriptyline (Pamelor) Antianxiety: Benzodiazepines Psychotherapy: Cognitive behavioral therapy: identifying

Analysis of Data Mining Free Essays

ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover, the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. We will write a custom essay sample on Analysis of Data Mining or any similar topic only for you Order Now The major advantage was that data mining enables analysis of large quantities of data. This is important since such data cannot be analyzed manually since the data is often complex for humans to understand. However, data mining techniques have been used for deceitful purposes such as inappropriate disclosure of private information. The article analyzed different data mining techniques. Predictive modeling is one such technique used in estimation of particular target attribute. Descriptive modeling was another technique, which entails dividing data into groups. The other techniques described include pattern mining used in identification of rules relating to different data pattern and anomaly detection, which entails determining the unusual instances that, may arise when using the different data-mining model. ) What is the title and what was the objective of the study/analysis) The title of the article was data mining. The article focused on skills in knowledge discovery can be used in analysis of large volumes of data sets. According to the article, data mining was invented about one and a half decades ago due to the advances in artificial intelligence. Discovery of expert system, geneti c algorithms, neural networks, and machine leaning led to develop ways to adapt these schemes and use them for data mining purposes. Related article: What Business Can Learn From Text Mining The objective of the article was to give a history of data mining, the different types of data mining and the application of data mining in different fields such as business, scientific research, as well as by security agents in detection of crimes and terrorist activities (Clifton Web). Regarding the history of data mining, the article stated that data mining was first implemented in credit card fraud detection. The 2) What data mining algorithm was used (i. e. cluster analysis, decision tree, neural network, other) and describe the algorithm? The analysis used both decision tree algorithm and clustering algorithm. By using decision tree algorithm, the information regarding data mining techniques was grouped by making use of predefined knowledge. The analysis entails description of different crime detection techniques. Moreover, the most appropriate technique for detection of different types of crimes was suggested based on the profitability of using any single technique. Using clustering technique, the data was divided into different groups to obtain certain patterns. Such pattern included classification to data mining techniques based on their uses. This was used to develop ways in which the different techniques can be applied in business (Clifton Web). 3) What was the outcome of the analysis, and how did it benefit the business, if there was a benefit? The analysis identified the various data mining techniques, their applications, strengths and weaknesses. The analysis was important to the business world. For example, the analysis on use of data mining in detection of credit card fraud identified the challenges involved on the process. This was crucial since it gave insights on how different techniques can be developed to make data mining more effective in credit card fraud detection. Another reason why the analysis was important to the business world was that it analyzed the different data mining approaches such as predictive modeling, descriptive modeling, pattern mining, and anomaly detection. The analysis explained how the different techniques work. Moreover, the analysis was crucial since it provided insights on how different techniques can be used in detection of fraud crime in different types of business transaction. Moreover, it highlighted the shortcoming on the different techniques. This is crucial since it provided intuitions on areas that can be improved to make the techniques more effective (Clifton Web). An additional reason why the analysis was important is that it pinpointed the issues that arise when using data mining techniques in fraud detection. One such issue is privacy concern. This was crucial since it gave insights on how the business world can continue using data mining techniques to combat crime without risking loss of reputation. Moreover, the companies can use data mining for fraud detection crimes while making less error such as those of biasness (Clifton Web). Conclusion Data mining has undergone modification with technological advancement. Data mining play a great role in enabling detection of problems such as frauds. This is because it enables analysis of large and complex quantities of data. In the article about data mining, Clifton used both decision tree and cluster analysis to assess the different types of data mining. By using decision tree, the author group data mining based on the techniques used. By using clustering, the data was grouped to obtain certain patterns. The analysis was important to business world since it provided insights on how the different data mining techniques work. Works Cited Clifton, Christopher. â€Å"data mining . † Encyclopedia Bratanicca (n. d. ): 1-3. Web. . How to cite Analysis of Data Mining, Essay examples

Philippine Journalist free essay sample

Time Context – October 20, 1972 (History and start of the experience of the company under martial law) 2. View Point – Mr. Eduardo B. Olaguer (Chairman of the Board and CEO) 3. Major Policy Statement The Philippine Journalist Inc. , is a publishing company of group of journal such as People’s journal, Journal Tonight etc. it is known for local and international standards in publishing journals, and aims to equal other company not only locally but also to other parts of the world by the following years to come. 4. Current Operational Policies Management – As what the case shows, Poor management that resulted in many problems for the company especially in the event of the Martial Law. b. Marketing – The PJI is a company known for publishing different kinds of journal, which is why advertising is not a big issue that need to be discussed. Well in their case, because of the martial law perhaps this was the greatest hindrance to the future plans of the company. c. Finance – From the history of the company, it has shown the poor level of stocks of the company. This is mainly because of the Martial law that resulted to much more problems such as: unavailability of stocks, no transfer of book and no stock certificates were issued at that time. d. Operations – The operations of the business was normal ever since the martial law started. Publishing different journals not only locally but also internationally. e. Human resources – The company shows basic information about the structure of a business enterprise that compose the top, middle management and the rank and file. Statement of the Problem – How will the PIJ resolve the DBP loan exposure and what are the steps to be undertaken to prevent things like this to happen again? 6. Statement of Objectives a. Short-term objectives i. To be able to balance the assets of the company that will suffice to its liabilities ii. To solve the negative book value of some particular shares iii. To adjust the style of the management in handling situations specially about the stocks and lease issues b. Long-term objectives i. To elucidate the DBP loan exposure ii. To prosecute Mr Benjamin Romualdez for what he has done iii. To lessen the liabilities and maximize revenues and assets 7. SWOT Analysis a. Strengths i. It is Known for publication of different local and international journals ii. It is a well-established company in the industry of printing press which is widely known in the country iii. Capability to set standards that is accepted in the international community b. Weaknesses i. Poor management of the entire company ii. Lack of forecasting that lead to many unforeseen expenses iii. Cannot allocate properly the resources of the company c. Opportunity i. Positive credibility from the public ii. Ability to come back from the losses incurred and solve the DBP loan exposure iii. Continuously function of the business d. Threats i. Unable to completely manage the assets which leads to higher liabilities ii. Actions of the government which may lead to foreclosure of the business iii. Negative aura caused by the DBP loan exposure to both the public and private sector (e. g. banks) 8. Alternative courses of action a. Evaluation of the current situation of the company: its position in the market, assets and liabilities and structure of management to see the problems and solve it step by step. b. Lessen any more loans to be able to pay the current problem such as DBP loan exposure c. Give importance to the DBP loan exposure and keep other things in bay to solve it asap 9. Analysis of Alternatives By extensive evaluation of the company, it can understand what are the things that needs to be change or improve for the betterment of the business and be able to solve all the current problems of it such as the DBP loan exposure b. This will mitigate the possibility to gain more liabilities and be able to concentrate on paying the current loans of the company c. This can be the best solution for the company because all of this thing evolve on that problem the DBP loan exposure 10. Decision statement – ACA 1 a. The in-debt evaluation can be the beacon to the development of the business and even solve the biggest problem of the firm. 11. Proposed operational plans a. Management – Open the company for a new set of employees to gain the manpower which can help I solving the problems of the business b. Marketing – Continue to pursue high standards to pool more revenues that may be used for the debt and development of the company c. Finance – For the mean time mitigate any loans that the company plans on doing to concentrate all the assets and revenues to the DBP loan exposure . Operations – As a publishing company, production output is very important which is why increasing the capacity of the firm while maintaining its cost is the best way to generate more income and this will result to increase market share of the company. e. Human resource – These resources are very important in some business. Specifically in this business which handles the decision making (also became the reason of the DBP loan exposure), oversee of the entire operations of the company (top management) and maintaining the standards of the journals (rank and file) 12. Implementation program With the use of ACA 1 it can help the business get back on its feet from the DBP loan exposure and other problems. Also, the proposed operational plans can be of help in mitigating any future problems and development of the business if followed and carefully implemented. 13. Other recommendation and conclusion a. Continue to pursue and understand the ACA 1 for being the best solution to solve the problems of PJI Inc. b. For the interest of both the government and the PJI, continuous transparency will help in preventing any misunderstanding that can cause more problems.