Commination Between Individuals Includes The Actual Spoken

Commination between individuals includes the actual spoken words, language, and dialogue between the individuals, known as verbal communication. One of the primary functions of language is to express imagination and creativity. This function is essential to our ability to image endless possibilities and create the things around us. According to Bevan and Sole (2014), our use of symbols to represent physical objects, ideas, and emotions gives us the capacity to build cities, to make laws, and to create art and music (Section 4.1, para. 20). In other words, to create and image the world around us we have to use language to be able to express our inner thoughts. For example, if you ask a child to create or image an invention that can solve a†¦show more content†¦This function is the idea that based on someone non-verbal communication you are able to form an impression of the type of person someone is and able to identify who they are. According to Bevan and Sole (2014), nonverb al communication is an important factor in how we perceive others and how others perceive us (Section 4.1, para. 6). An example of this is the communication between two people at a job interview. If someone is going into a job interview, they will most likely dress up, carry themselves in a professional manner, and try to impress the interviewer. Body language would be essential to understand during an interview as well, you want to come off as open and confident, your first impressions is usually the most important. Nonverbal communication is important in managing others’ impressions, as evidenced when we dress up for a first date or buy a new suit and practice our handshake before an important job interview (Bevan and Sole, 2014, Section 4.2, para. 6). Biased language usually refers to the use of words that intentionally or unintentionally offend people or express negative attitudes concerning a person’s race, ethnicity, religion, sexual orientation, age, disability, or illness (Bevan and Sole, 2014, Section 4.1, para. 25). It is essential to understand the impact biased language can have on people’s attitude, behaviors, and perception. The use of biased language can give others the impression that you haveShow MoreRelatedThe Care Of A Patient1781 Words   |  8 Pagesoccurs for Mr James. This begins when taking Mr James information that will provide awareness into the actual and potential problems which will be able to aid in with the physical examination further. During the examination findings the results of the investigation will support the diagnoses that Mr James would present with cardiovascular symptoms. Symptoms that occur with heart disease include chest pain, palpitations, shortness of breath, fatigue peripheral oedema and syncope (M, 2005)Mr James

Mrs. Dalloway By William Woolf - 798 Words

Virginia Woolf opens her novel with a statement in reported speech: â€Å"Mrs Dalloway said she would buy the flowers herself† (3). Clarissa then makes a list of reasons behind this decision, concluding it with a surge of elation at the day ahead of her: â€Å"And then, thought Clarissa Dalloway, what a morning – fresh as if issued to children on a beach† (3). This unspoken exclamation announces her engaging stroll through the streets of London. Flowers are, of course, a mere excuse to enjoy the sunlit morning: as a wife of a MP, she has a number of servants to take care of the party preparations. Yet, Anna, on the other hand, is a typical â€Å"negative falneuse†, as Rachel Bowlby describes Rhys’s heroines (53), because she refuses to interact with the city. Her experience of London is isolating in that she is constantly absentminded, despising the cold rainy weather and thinking about her childhood in the sunbathed island of Dominica. Anna walks e ither with a clear purpose, when she is going somewhere, e.g. to meet Walter, or simply to kill time and turn her thoughts away from the lingering uncertainty of the situation in which she found herself in London: â€Å"There wasn’t anything much to do all day. I would get up late and then go out for a walk and then go back home and have something to eat and watch out of the window for a telegraph-boy or a messenger† (Rhys 34). While in Mrs Dalloway Clarissa’s stroll is described in minute detail, stretching, with minor interruptions, overShow MoreRelatedWilliam Woolf s Mrs. Dalloway1730 Words   |  7 Pagescharacters, author, and reader the reference point of a shared experience upon which to build a literary work. In the case of Virginia Woolf’s Mrs. Dalloway, this uniting experience was the Great War. The remnants of this conflict can be seen throughout the novel in the lives and experiences of its characters. The integral nature of tragedy in Mrs . Dalloway means that future reimaginings and reframings must also include a uniting tragic event as a means by which to create parallels and show commonalitiesRead MoreMrs. Dalloway By William Woolf1196 Words   |  5 PagesIn Virginia Woolf’s novel Mrs. Dalloway, Peter Walsh serves as the focalizer for a good portion of the novel. It is through his eyes that we see Woolf’s critiques of the British middle class notions of propriety, success, and proper gender roles. Peter Walsh’s thoughts and observations of Clarissa Dalloway, Sally Seton and Richard Dalloway are all used to justify Woolf’s critics on societies pressures that cause people to become dependent on others to validate their place in society, lose who theyRead MoreStream of Consciousness in Virginia Woolfs Mrs. Dalloway1354 Words   |  5 Pagesin Virginia Woolf’s Mrs Dalloway. â€Å"These novels may very well be within a category we can label stream of consciousness, so long as we know what we are talking about. The evidence reveals that we never do – or never have done so.† (5). (Humphrey, 1954). This quote from Robert Humphrey, author of Stream of Consciousness in the Modern Novel, is about the use of the writing technique, stream of consciousness, in novels such as James Joyce’s Ulysses and Virginia Woolf’s Mrs Dalloway; he highlights thatRead MoreMrs. Dalloway, by Virginia Woolf1696 Words   |  7 PagesIn the novel Mrs. Dalloway, by Virginia Woolf, the author uses narrative techniques of stream of consciousness and interior monologue in order to depict the workings of an â€Å"ordinary† or normal mind in narrative form. She also rejects the conventional structure of ‘chapters’ in order to give an â€Å"ordinary† portrayal of the mind. This essay will firstly contextualise the extract for analysis, namely the opening scene in the novel. This will be followed by defining the narrative techniques that is depictedRead MoreThe Yellow Wallpaper And Mrs. Dalloway1220 Words   |  5 PagesIn Mrs. Dalloway, Septimus, a supporting characte r struggles with a mental illness that is most likely Post-Traumatic Stress Disorder. Similarly, in The Yellow Wallpaper, the narrator also struggles with a mental illness which could be related to postpartum depression. Charlotte Perkins Gilman, author of The Yellow Wallpaper struggled with depression and Virginia Woolf, author of Mrs. Dalloway, suffered childhood trauma and was bipolar (McMan). Both story’s views on mental illness are most likelyRead MoreVirginia Woolf s Mrs. Dalloway And Morrison s Song Of Solomon1119 Words   |  5 PagesVirginia Woolf and Toni Morrison both depict the fallout from traumatic historical events as a longstanding affair, often lasting generations and affecting those who are not even be directly involved in the trauma. Woolf’s Mrs. Dalloway and Morrison’s Song of Solomon do a marvelous job of portraying the macrocosm of traumatic historical events (World War I for Woolf, racist violence and slavery for Morrison), but more impo rtantly they beautifully render the microcosm of how people suffer as a resultRead MoreDepression In Mrs. Dalloway, By Virginia Woolf1539 Words   |  7 PagesIn â€Å"Mrs. Dalloway,† Virginia Woolf highlights different experiences of everyday suffering after World War I. Septimus Smith, a veteran of World War I, loses his identity during his tour. Clarissa Dalloway and Lucrezia Warren Smith are both suffering as a result of society’s expectations; they both lose their individuality and succumb to their husbands. Many people did not know how to cope with the change of perspective after the war; some people tried different forms of treatment, while others choseRead MoreAnalysis of Mrs. Dalloway by Ââ€" Virginia Woolf Essay1460 Words   |  6 PagesAnalysis of Mrs. Dalloway by Ââ€" Virginia Woolf Mrs. Dalloway, published in 1925, is a romantic drama with deep psychological approaching in to the world of urban English society in the summer of 1923, five years after the end of World War I. The book begins in the morning with the arrangements for a party Clarissa Dalloway will give and it ends late in the evening when the guests are all leaving. There are many flashbacks to tell us the past of each character, but it does not leave the range ofRead MoreThe Oppression of Women in A Room of One’s Own by Virginia Wolf1749 Words   |  7 Pagesâ€Å"For most of history, Anonymous was a woman,† Virginia Woolf once boldly stated. Though she was from a privileged background and was well educated, Woolf still felt she was faced with the oppression that women have been treated with for as far as history goes back. Her education allowed her to explore the works of the most celebrated authors, but one who she had a long and complicated relationship with was the Bard of Avon himself, William Shakespeare. As one of the most highly regarded and wellRead MoreMrs. Dalloway By Virginia Woolf1443 Words   |  6 PagesMrs. Dalloway by Virginia Woolf examines the lives of a group of socialites in post World War I England. Clarissa Dalloway spent her life suffering from anxiety but was devoted to hiding it from the world. Septimus struggled with shell shock, or post-traumatic stress disorder, that no one could help him with. These people were not only characters in Virginia Woolf’s story, but also a representation of what had been going on in Woolf’s life. She used her own struggle with mental illness as inspiration

Challenges of Big Data in Business Marketing-Samples for Students

Question: Discuss about the Challenges of Big Data in Business Marketing. Answer: The term big data refers to the huge amounts of data (both structured as well as unstructured) which is used in business marketing and public relations on a daily basis. With the use of predictive and user behaviour analytics, big data allows businesses to extract and analyse data effectively for effective marketing. It is used to predict business strategies as well as better decision making in marketing (Katal et al. 2013). Big data analytics helps businesses to enable time reductions, cost reductions and optimized product development allowing the user to accomplish tasks related to marketing. For the past 30 years, businesses primarily used the traditional data systems to analyse data such as data warehouses and relational databases. This systems were designed to handle structured data which were organized in records using Structured Query Languages. The systems were capable of reading only 8k and 16k block sizes of data. As the programs were small, processing large volumes of data was inefficient. With the dawn of advanced analytics where statistical data was used for machine learning algorithms, the world of business marketing was introduced to predictive analytics. It is a section of advanced analytics which utilizes statistical techniques to make predictions about events which have not happened yet. Targeting advertisements, analysing behaviour of customers and flagging fraudulent transactions are some of the applications of predictive analytics (Hilbert and Martin 2015). Predictive analytics have gained momentum with big data using text analytics, classification mode ls and deep neural networking to analyse data. The concept of big data gained momentum when Doug Laney, the industry analyst articulated the concept of big data in the three Vs (volume, velocity and variety). Although most companies have the infrastructure to archive data, not many of them have the capacity to process the data due to the usage of conventional data storage systems (such as NAND storage systems). Every year, the volume of data increases substantially with new customers generating pictures and videos on a daily basis. As the sources of data increase, the volumes of data needs to be stored and analysed because these petabytes of data did not exist a decade ago. The need for distributed approach to querying and scalable storage is a challenge for IT structures. Although most companies have the infrastructure to archive data, not many of them have the capacity to process the data. For parallel processing architectures, certain databases are used such as Apache Hadoop and Greenplum for storing and analysing this massive amount of data. Hadoop was developed by Yahoo as an open source platform and utilizes the MapReduce approach that was pioneered by Google for compiling the search indexes. It distributes the data set among multiple servers (the map stage) and recombines the partial data (the reduce stage). The HDFS (distributed file system of Hadoop) is used to store data using multiple computer nodes (Katal et al. 2013). It involves loading data in the HDFS, using MapReduce operations and retrieving the data. Facebook uses the Hadoop infrastructure by storing its data in MySQL database. This data is then analysed to create recommendations based on the interests of the friends. Companies have used conventional batch processes to analyse data which is often slow and not based on real time analysis ("IBM Big Data And Analytics - Marketing And Sales: Industry Use Cases - Kenya" 2018). This works when the incoming data is slower than the processing rate and despite the delay, the data stays useful. With mobile and social applications, this process breaks down as the data streaming services occur in real time and the data stays useful only if the delay stays minimal. The data velocity is crucial as some level of analysis is required while the data is streaming. This is where the concept of big data analytics comes into consideration. Data variety is another aspect of big data. Over the past decade, data structure have evolved to add thousands of formats such as photo, audio, sensor data, documents, GPS data, PDFs and flash. The structure cannot be imposed like conventional analysis systems to keep control over the analysis. With the help of big data, companies such as Google uses smart phone sensor data to determine traffic conditions which was not possible a decade ago (Jin et al. 2015) Together the three Vs determine the analysis conditions and determine the data set which defines the main concept of big data. With the vast number of technologies in the market, enterprises harness their data with the help of a number of analytics tools that make up the big data ecosystem. The core of the ecosystem is handled by the infrastructural technologies. As the databases are getting more and more complex day by day with respect to its volume, velocity and variety, enterprises cannot relate on rational databases which captured data in mere tables and rows. Hadoop, MPP or Massively Parallel Processing Databases and NoSQL are some examples of infrastructural technologies. Unlike infrastructural technologies, analysis technologies are specifically geared towards analysing data such as Analytics Platform, Visualization platforms, Business Intelligence Platforms and Machine learning ("How Big Data Can Improve Manufacturing" 2018). Visualization platforms takes the raw data and presents it in a multidimensional visual format. Analytics and business intelligence platforms analyses data and presents it throu gh visualizations in a timely manner. The applications platform of big data takes the analysed data and presents it to end users in an optimised format. In the health sector, for example, neurosurgeons can check neurological information with the help of Mintlabs and offer diagnosis and treatment. Avansera is used in the retail sector for providing companies with the food purchasing variables (such as price flexibility). Big data analytics generates data from various sources such as streaming data, public sources and social media (Kaisler 2013). The data is often available in an unstructured format, hence proper analysis is required to make effective business decisions. As the volume of data increases, large companies struggle to find solutions to make this data useful for managing, storing and analysing it for utilization purposes. A survey conducted in 2011 states that over 55% of the organization projects that undertook big data analysis were left incomplete (Abawajy 2015). This survey was backed up by another survey which showed that most of the big data projects that were undertaken by big corporations were either incomplete or not successful. Several challenges need to be undertaken to make big data analysis optimal. The first challenge revolves around the storage of data. According to the Digital Universe Report, it is estimated that the amount of data that is stored by big IT corporations doubles every two years. The digital universe will grow from 130 Exabyte to over 40000 Exabyte (a factor of 300) from 2005 to 2020. This is approximately 5300 gigabytes per person in 2020. By 2020, the enterprises will have the responsibility for over 80% of the accessible information (Fan et al. 2014). Moreover, most of the data stays in an unstructured format which does not reside in databases. Examples of unstructured data are videos, audios and pictures which are very cumbersome to detect and analyse. The problem escalates when the data reserves combine the unstructured data from separate sources leading to errors. The challenges range from logic conflicts, inconsistent data, missing data and duplicates. To deal with this overwhelming challenge, companies resort in adopting several technologies and tools s uch as Hadoop, NoSQL databases and machine learning to go through huge amount of data. Other companies use EMC Isilcon (a clustered storage system) for better management of big data. For fast indexing, SSDs or Solid state drives can be used. Another solution is to use Cloud computing services and storage systems for storing big data. The inability to adopt different technologies poses as the second challenge for adopting big data in businesses. No matter what data is collected and stored for big data analysis, the appropriate tools and professionals should be selected properly for maximum efficiency. The ecosystem of big data analysis tools such as Hadoop is not easy to use and manage. Feedbacks should be taken seriously as it boosts engagement among the workers. The reasons for adopting the technologies and their prospective benefits should be clarified to the professionals carefully to mitigate this issue. While the tools are hailed for their ability to analyse massive volumes of data, the technology is still new and several professionals are not yet accustomed with it (Abawajy 2015). Moreover, the analysis tools require huge amounts of internal resources which make it difficult for the companies to justify using the tools instead of trying to solve the actual data problem. As the job is multidisciplinary, it i s important for data scientists to have varied skills. Another problem that is often faced by companies is the scarcity of data scientists to analyse the amount of data being produced (Fan et al. 2014). Many companies often overcome this problem by providing their own training resources and assigning the management team. The third challenge is based on the quality of data. As big companies employ data analysis tools for better decision making, efforts should be made to determine whether the data is accurate or not. Testing should be made a priority for ensuring the high reliance on data. Often companies get data from several sources which do not always agree with each other. For example, the numbers in the Enterprise Resource Planning (ERP) and the sales figure of the ecommerce system might be different (Liebowitz and Jay 2013). Data governance is a process by which the records and data sources are made sure that they are accurate and secure. To oversee data governance challenges, certain policies and procedures are required. Companies can invest in data management to increase accuracy of data and simplify data governance. This process is often time consuming and requires expensive tools to prevent ill-advised decisions. The fourth challenge is a big concern for companies who endorse big data stores. Securing the complex volumes of data is necessary for ensuring that the data does not fall in the wrong hands. APTs or Advanced persistent threats and hacker attacks are common in companies with big data reserves. Most companies fail to understand that the measures they employ for making the data secure are not adequate. According to a survey by IDG, more than 40% of the people interviewed agreed that proper security measures (such as data encryption, data segregation and access control) were not ensured for the big data repositories (Fan et al. 2014). The tools that analyse the data collects information from various sources making it highly vulnerable to cyber-attacks. As more and more data are produced, the vulnerability risks increases simultaneously ("Tata Consultancy Services | Technology, Digital Solutions, Consulting" 2018). Moreover the data sources are often internal (such as marketing and finan ce) as well as external (social media data). Companies need to figure out a solution around this to make big data analytics safe and secure. The fifth challenge rises from organizational resistance. According to a survey conducted by NewVantage Partners, more than 85% of the surveyed individuals agreed that the companies are adopting a data driven culture and over 30% agreed that they had been successful in their attempts already. The surveyed people mentioned three obstacles primarily for adopting the cultural shift (Chen, CL Philip and Chun-Yang Zhang 2014). The first is organizational alignment that is insufficient. The second obstacle is the lack of understanding of the middle management teams. The third obstacle is the lack of understanding of the business procedures. To adopt big data in companies, strong leaders are necessary for understanding the possibilities of the opportunities that comes with big data. People familiar with the entertainment industry might know how Netflix used big data to ensure success of its TV series by predicting user behaviours. Since its debut in 2007, Netflix had six years to gather information for making its first original production (House of Cards) a sure-shot success. They created certain data points (called events) to analyse when a user watched shows, which devices they used, whether they re-watched any shows, searches and ratings ("Netflix United Kingdom Watch TV Programmes Online, Watch Films Online" 2018). These data was gathered by the data scientists to create certain insights that was utilized by Netflix to take informed decisions. Despite the challenges faced by it, big data makes sense for impacting the economic development. With the help of big data, companies can choose a suitable location for promoting their businesses. This is done by comparing demographics, information about labour force, consumer spending, GIS maps, talent pool data and industry data ("Intel: Tablet, 2 In 1, Laptop, Desktop, Smartphone, Server, Embedded" 2018). To make critical decisions, big data helps to give website users important data to search for locations. To prosper economically, time management is important. Going through huge amounts of data can be time consuming and overwhelming. To stay competitive, big data helps to offer reliable and up-to-date information in real time providing the data handler ample time to focus on other works. Big data also benefits stakeholders by providing the analysis of data in an organized and user-friendly format giving them an overview on how much investment they should make on a particular org anisation. Though there are several challenges ahead of big data, the technology needs to be given a chance it deserves. From training to recruitment and from budgeting to strategizing, big data comes with a number of challenges as well as possibilities. Just like internet, big data has the capability to change the world. There are several successful cases of big data that proves this otherwise and chances are that big data will be implemented by thousands of users with the growing number of unorganized data in the near future References Katal, Avita, Mohammad Wazid, and R. H. Goudar. "Big data: issues, challenges, tools and good practices." InContemporary Computing (IC3), 2013 Sixth International Conference on, pp. 404-409. IEEE, 2013. Kaisler, Stephen, Frank Armour, J. Alberto Espinosa, and William Money. "Big data: Issues and challenges moving forward." InSystem sciences (HICSS), 2013 46th Hawaii international conference on, pp. 995-1004. IEEE, 2013. Chen, CL Philip, and Chun-Yang Zhang. "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data."Information Sciences275 (2014): 314-347. Fan, Jianqing, Fang Han, and Han Liu. "Challenges of big data analysis."National science review1, no. 2 (2014): 293-314. Liebowitz, Jay, ed.Big data and business analytics. CRC press, 2013. Hassanien, Aboul Ella, Ahmad Taher Azar, Vaclav Snasel, Janusz Kacprzyk, and J. Abawajy.Big Data in Complex Systems. Springer, Heidelberg, 2015. Yin, Shen, and Okyay Kaynak. "Big data for modern industry: challenges and trends [point of view]."Proceedings of the IEEE103, no. 2 (2015): 143-146. "Netflix United Kingdom Watch TV Programmes Online, Watch Films Online". 2018.Netflix.Com. https://www.netflix.com/sg/. "IBM Big Data And Analytics - Marketing And Sales: Industry Use Cases - Kenya". 2018.Ibm.Com. https://www.ibm.com/big-data/ke/en/big-data-and-analytics/marketing/industries/index.html. "How Big Data Can Improve Manufacturing". 2018.Mckinsey Company. https://www.mckinsey.com/business-functions/operations/our-insights/how-big-data-can-improve-manufacturing. "Tata Consultancy Services | Technology, Digital Solutions, Consulting". 2018.Tcs.Com. https://www.tcs.com/. "Intel: Tablet, 2 In 1, Laptop, Desktop, Smartphone, Server, Embedded". 2018.Intel. https://www.intel.in/. Jin, Xiaolong, Benjamin W. Wah, Xueqi Cheng, and Yuanzhuo Wang. "Significance and challenges of big data research."Big Data Research2, no. 2 (2015): 59-64. Hilbert, Martin. "Big data for development: A review of promises and challenges."Development Policy Review34, no. 1 (2016): 135-174.

Product Description free essay sample

The proposed project intends to produce a room odor absorber made of activated charcoal as an alternative odor absorber that commonly used by the households. There are different types of charcoals out there namely; common charcoal (made from peat, coal, wood, coconut shell or petroleum), sugar charcoal, activated charcoal, lump charcoal, Japanese charcoal, pillow-shaped briquettes and extruded charcoal. Activated charcoal works significantly better as an odor remover than regular charcoal. Activated charcoal is known for absorbing foul odor. It is very effective in removing odors because it has the ability to capture and absorb bad smells. Charcoal absorbs bad odor removing them from the air and leaving your room scent-free. The main ingredient of the proposed product is activated charcoal that helps to absorb the foul odor that comes from the different corner of the house. The color of the product is simply black due to the activated charcoal content. The texture of the activated charcoal is rough due to its dusty form. We will write a custom essay sample on Product Description or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page The jar of the activated charcoal has a size of 24 inches length and 14 inches width. The activated charcoal has a variety of scent due to its different essential oil. The packaging of the product needs to undergo a weighing process in order to determine the exact amount to contain 100g per jar. The process to use the activated charcoal is simply putting the sticker in the lid cover and the activated charcoal in the area that has a foul odor. RAW MATERIALSThe following are the raw materials needed for the production of the said product which is the Odor Absorber made of Activated Charcoal. The product would not be possible if not for these materials. The supplier of the charcoal, essential oils and baking soda are located at the carbon market while the calcium chloride, can be bought from Far Eastern Drug Incorporated Cebu City a nontoxic chemical. The supplier for the purified water is located at Par One Water Refilling Station.Commercial CharcoalIt is a carbon-containing substance made from wood by heating it in airless space in high temperature, naturally black and powdery made. Charcoal is the main ingredient of the proposed product.Essential oilAn essential oil is a concentrated hydrophobic liquid comprising volatile aroma compounds from plants. Essential oils are also known as volatile oils, ethereal oils, aether Olea, or simply as the oil of the plant from which they were extracted. Oil is essential in the sense that covers the essence of the plants scent – the typical scent of the plant from which it was derived. Essential oils are generally extracted by distillation, often by using stem. They are used in adding scent to incense and household cleaning product.Baking sodaIt is a substance, generally a powder, made by grinding raw grains or roots. It helps to strengthen the pulverized charcoals structure.Purified WaterIt is a kind of water that mechanically filtered or process to remove any chemicals or contaminants and to be cleaned for consumption. The purified water can create the pulverized charcoal consistent on its form.Calcium ChlorideIt is an inorganic compound, a salt with the chemical formula CaCl2. It is a colorless crystalline solid at room temperature, highly soluble in water. It is used to activate charcoal from the ordinary charcoal.MACHINE, TOOLS, AND EQUIPMENTTools, machines, and equipment play an important role in the production of the Odor Absorber made of Activated Charcoal. To have a faster and easier flow of operation; the following are the tools, machinery, and equipment for the creation of the product.Powdering MachineIt is a machine that is used for pulverizing the charcoal into powder. StrainerIt is a device that is used to strain the lump of the charcoal. To make sure it is refined.Measuring CupIt is a cup marked in graded amounts, used for measuring ingredients in mixing. It is used to measure all the ingredients before putting in the mixer.MixerIt is a machine that is used for mixing all the ingredients of the product. It automates the repetitive tasks of stirring, whisking or beating.Sheet panIt is a flat, rectangular metal pan used in an oven. It is where to put the filtered carbonated charcoal while baking.OvenThe thermally insulated chamber used for the heating, baking, or drying of a substance, and most commonly used for cooking. It is a machine that bakes the filtered carbonated charcoal.ApronIt is a functional accessory that layers over ones outfit to protect ones clothes and skin from incidental stains and marks in making the odor absorber charcoal.Hygiene MaskIt is a disposable device that creates a physical barrier between the mouth and nose of the wearer and potential contaminants in the immediate environment. It is used to cover the nose and mouth against the dust powdered charcoal.GlovesIt is a covering for the hand-worn for protection against cold or dirt and typically having separate parts of each finger and the thumb. It is used for the protection against hot surfaces.HairnetIt is a piece of fine mesh fabric for confining the hair. It is used to avoid hairs from falling off and be mixed in the product.BarrelA cylindrical container bulging out in the middle, this is where the powdered charcoal, mixed activated charcoal and other mixtures store.Paper FilterAny substance, as cloth, paper, porous porcelain, or a layer of charcoal or sand, through which liquid is passed to remove suspended impurities or to recover solids.