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LARGE CARBON MOLECULES Many carbon compounds are built up from smaller, simpler molecules known as monomers (MAH-ne-mers), such as the ones shown in Figure 3-3. As you can also see in Figure 3-3, monomers can bond to one another to form polymers (PAWL-eh-mer). A polymer is a molecule that consists of repeated, linked units. The units may be identical or structurally related to each other. Large polymers are called macromolecules. There are many types of macromolecules, such as carbohydrates, lipids, proteins and nucleic acids. Monomers link to form polymers through a chemical reaction called a condensation reaction. Each time a monomer is added to a polymer, a water molecule is released. In the condensation reac- tion shown in Figure 3-4, two sugar molecules, glucose and fruc- tose, combine to form the sugar sucrose, which is common table sugar. The two sugar monomers become linked by a CâOâC bridge. In the formation of that bridge, the glucose molecule releases a hydrogen ion, H, and the fructose molecule releases a hydroxide ion, OH. The OH and H ions that are released then combine to produce a water molecule, H2O. In addition to building polymers through condensation reac- tions, living organisms also have to break them down. The break- down of some complex molecules, such as polymers, occurs through a process known as hydrolysis (hie-DRAHL-i-sis). In a hydrolysis reaction, water is used to break down a polymer. The water molecule breaks the bond linking each monomer. Hydrolysis is the reverse of a condensation reaction. The addition of water to some complex molecules, including polymers, under certain con- ditions can break the bonds that hold them together. For example, in Figure 3-4 reversing the reaction will result in sucrose breaking down into fructose and glucose. 2H2O Monomers Polymer C C O H OH C OH H CH2OH C H CH2OH C HO H C O H C OH H C CH2OH H C H OH O Sucrose C C O H OH C OH H CH2OH C H CH2OH C HO H C OH OH H C OH H C CH2OH H C H OH O Glucose Fructose H2O The condensation reaction below shows how glucose links with fructose to form sucrose. One water molecule is produced each time two monomers form a covalent bond. FIGURE 3-4 monomer from the Greek mono, meaning âsingle or alone,â and meros, meaning âa partâ Word Roots and Origins A polymer is the result of bonding between monomers. In this example, each monomer is a six-sided carbon ring. The starch in potatoes is an example of a molecule that is a polymer. FIGURE 3-3 Copyright Š by Holt, Rinehart and Winston. All rights reserved. 54 CHAPTER 3 ENERGY CURRENCY Life processes require a constant supply of energy. This energy is available to cells in the form of certain compounds that store a large amount of energy in their overall structure. One of these com- pounds is adenosine (uh-DEN-uh-SEEN) triphosphate, more commonly referred to by its abbreviation, ATP. The left side of Figure 3-5 shows a simplified ATP molecule struc- ture. The 5-carbon sugar, ribose, is represented by the blue carbon ring. The nitrogen-containing compound, adenine, is represented by the 2 orange rings. The three linked phosphate groups, âPO4 , are represented by the blue circles with a âP.â The phospate groups are attached to each other by covalent bonds. The covalent bonds between the phosphate groups are more unstable than the other bonds in the ATP molecule because the phosphate groups are close together and have negative charges. Thus, the negative charges make the bonds easier to break. When a bond between the phosphate groups is broken, energy is released. This hydrolysis of ATP is used by the cell to provide the energy needed to drive the chemical reactions that enable an organism to function.
Reading Passage: The Anatomy of a Kill Chain In the lexicon of modern warfare, the term "kill chain" describes the end-to-end process of a military attack, from the initial identification of a target to its eventual destruction and the subsequent evaluation of the strike's effectiveness. Conceptually, the kill chain is a structural model used to understand and optimize the speed and precision of military operations. The fundamental principle of this model is that an attack functions as a sequence of interdependent stages; if any single link in the chain is broken, the entire operation fails. For strategic planners, this creates a dual objective: to accelerate one's own kill chain while simultaneously finding ways to disrupt the adversary's. Strategic Concept: The Kinetic Model (F2T2EA) The traditional military kill chain is often summarized by the acronym F2T2EA, representing a continuous cycle of find, fix, track, target, engage, and assess. The kinetic kill chain begins with Find, the reconnaissance phase where intelligence assets identify a potential target within a theater of operations. Once found, the process moves to Fix, which involves pinning down the target's specific location and ensuring it can be distinguished from friendly forces or non-combatants. Track follows, maintaining a persistent watch on the target's movements to prevent its escape. In the Target phase, commanders select the appropriate weapon system and verify the legality and strategic value of the strike. Engage is the kinetic momentâthe actual deployment of ordnance against the objective. Finally, Assess involves battle damage assessment (BDA) to determine if the desired effects were achieved or if further engagement is required. This model emphasizes "compressing the sensor-to-shooter timeline," meaning the faster a military can move through these steps, the more lethal it becomes. The Evolution: The Cyber Kill ChainÂŽ As warfare expanded into the digital domain, Lockheed Martin adapted the kinetic model into the Cyber Kill Chain. This framework assists defenders in identifying and stopping Advanced Persistent Threats (APTs). Unlike a physical missile, a cyberattack often unfolds over weeks or months, but the sequential logic remains the same. The model consists of seven distinct stages: Stage Description of Attacker Activity 1. Reconnaissance The harvesting of information. Attackers research targets via social media, public records, and technical scanning to find vulnerabilities. 2. Weaponization Coupling a remote access trojan with an exploit into a deliverable payload (e.g., a malicious PDF or Microsoft Office document). 3. Delivery Transmission of the weapon to the target environment. Common vectors include email attachments, malicious websites, or USB drives. 4. Exploitation The weapon triggers. The code executes on the victim's system, typically by taking advantage of a software or operating system vulnerability. 5. Installation The attacker installs a persistent backdoor or malware on the victim's system, allowing them to maintain access even after a reboot. 6. Command & Control (C2) The compromised system opens a communication channel back to the attacker's server, allowing the intruder to give manual instructions. 7. Actions on Objective The final stage where the attacker achieves their goal, such as data exfiltration, encryption for ransom, or destruction of critical infrastructure. Strategic Implications for Defense The strategic value of the Cyber Kill Chain lies in its ability to provide a roadmap for "proactive defense." By understanding the sequence, security professionals can implement controls at every stage. For instance, robust email filtering can break the chain at the Delivery stage, while endpoint detection can stop the Installation phase. Crucially, the earlier a defender breaks the chain, the lower the cost of mitigation and the lower the risk of damage. If an attacker is stopped during Reconnaissance, they have gained nothing. If they are stopped during Actions on Objective, the damage may already be catastrophic. In both kinetic and cyber environments, the goal is the same: to create a "defensive depth" that makes the cost of a successful attack prohibitively high for the adversary.
Key events of Hitler's rise to power from 1929 to 1934 including the wall street crash, reichstag fire and decree, enabling act, hindenbergs death and oath of loyalty. Each question should link to Hitler's rise to power.
LO2 Demonstrate the interrelationship of the various functions within an organisation and how they link to organisational structure
How is personal data collected? There are several ways that an unauthorised person can try and collect your data. These include: â˘phishing â˘smishing â˘vishing â˘pharming. Phishing Phishing is when a person sends a legitimate looking email to a user. The email contains a link to a website that also looks legitimate. The user is encouraged to click the link and to input personal data into a form on the website. The email could also simply ask the user to reply to the email with their personal data. The user is tricked into giving their personal data to a source that they believe is legitimate. However, both the email and the linked website are from a fake unauthorised source. The personal data that is input is then collected by an unauthorised person. This person can then use this data for criminal acts, for example, to commit fraud or steal the person's identity. Intimidation has become a common feature of phishing emails, threatening the user that they must click the link and rectify a situation immediately, or there will be a further issue. The aim of a phishing attack is to steal the user's personal data. Figure 5.1: Phishing. A real-life example of phishing PayPal have been the subject of several different phishing emails. Users receive an email that looks as though it has been sent from PayPal, as it has the PayPal branding. The email normally warns of an issue such as unexpected activity on their account, or that some kind of verification of their account is required. The user is then asked to click a link to log into their account and resolve the issue. The link takes them to a webpage that looks like the PayPal login page. If the user inputs their login details into this page, they will not be taken to their account. It is often at this stage that the user may realise that the email and webpage are fake. However, they have already given the unauthorised person their PayPal login details. Figure 5.2: An example of a phishing email claiming to be from PayPal. How to recognise phishing There are several guidelines to be aware of regarding emails to avoid being subjected to phishing. These include: â˘Don't even open an email that is not from a sender that you recognise or a trusted source. â˘Legitimate companies will never ask you for your personal data using email. Be immediately suspicious of any email that requests your personal data. â˘Legitimate companies will normally address you by your name. Be suspicious of any email that addresses you as âDear Member' or âDear Customer'. â˘Legitimate companies will send an email that uses their domain name. If you hover your mouse over the sender's name, it will show the email address that the email is sent from. If this does not look legitimate, for example, does not contain the correct domain name, then it is probably fake. For example, if the sender's email is user@paypal1.com rather than user@paypal.com, this is from an incorrect domain name. â˘Legitimate companies are protective of their professional reputation and thoroughly check any communications. They will make sure that all information given is grammatically and correctly spelt. Be suspicious of any email that contains bad grammar or spelling mistakes. â˘A link in an email from a legitimate company will also normally contain the domain name of the company. You can sometimes hover over the link, or right click and inspect the link, to see the address of the URL that is attached. If the URL does not contain the domain name, or also contains typical errors such as spelling mistakes, then be suspicious of this. PRACTICAL ACTIVITY 5.02 Ask a friend or a member of your family if they have ever received an email that they believed was a phishing email. Ask them how they identified it was phishing. Ask them if they know all of the given guidelines for identifying phishing emails. Smishing Smishing (or SMS phishing) is a variant of phishing that uses SMS text messages to lure the user into providing their personal details. The user is sent an SMS text message that either contains a link to a website, in the same way that phishing does, or it will ask the user to call a telephone number to resolve an urgent issue. The same advice can be followed for smishing as given for phishing. The user must question at all times any links that are sent from an unknown or suspicious user. It is advisable that if a user believes the message may be legitimate, to type in the domain name for the legitimate company website into their web browser, rather than following the link in the message. Users should block any numbers that they believe are suspicious to prevent any further risk of smishing from that number. Figure 5.3: Smishing. Vishing Vishing (or voice phishing) has the same aim as phishing, to obtain a user's personal details. The user receives a telephone call that could either be an automated system or could be a real person. An automated voice could speak to the user and advise them that an issue has occurred, such as there has been suspicious activity regarding their bank account. The user may then be asked to call another number, or just to simply press a digit and be directed to another automated system. This system will ask them to provide their bank account details to resolve the issue. The bank account details have then been obtained by the unauthorised user and can be used to commit a crime against the user. The automated system could be replaced by a real person who will try to do the same thing. They will try to convince the user that there has been an issue with an account they have and to provide the log-in details or PIN for the account to verify who they are so the issue can be resolved. The precaution to take for vishing is that no company will ever call you and ask you to provide any log-in details or PIN details over the telephone. They may ask you to provide other personal information, and if you are in doubt that the person on the other end of the phone is legitimate, it is always advisable to put the phone down and call the company back on a legitimate number that you may already know or can obtain. Figure 5.4: Vishing. Pharming Pharming is when an unauthorised user installs malicious code on a person's hard drive or server. The malicious code is designed to redirect a user to a fake website when they type in the address of a legitimate one. The fake website is designed to look like the legitimate one, to trick the user and make sure they are not aware that their request has been redirected. The user will then enter their personal details into the fake website, believing it is the legitimate one, and the unauthorised person will now have their personal data. A common technique used in pharming is called domain name server (DNS) cache poisoning. This technique exploits vulnerabilities in the DNS and diverts the internet traffic intended for a legitimate server toward a fake one instead. The unauthorised user needs to find a way to install the malicious code on the computer. They often hide the malicious code in an email attachment or link. When the user opens the email attachment or clicks the link, the malicious code is downloaded also. Figure 5.5: Pharming. The aim of a pharming attack is also to steal a user's personal data. A real-life example of pharming In 2007 50 different companies all over the world were subject to a pharming attack, these included PayPal, eBay, Barclays bank and American Express. Over a three-day period, hackers managed to infect over 1000 PCs a day with a malicious pharming code. When users who had been infected visited the websites of the different companies, they were redirected to a legitimate-looking version of the site that was designed to steal their personal data. The original email, containing the malicious code, was set up to look like a shocking news story. Users were encouraged to click a link in the email to find out more information. The code was downloaded when the user clicked the link. This was quite a sophisticated attack that required legitimate looking websites to be set up for a large number of companies. It is not known how much money the hackers were able to retrieve as a result. How to prevent pharming All of the guidelines to avoid being subjected to phishing are also relevant for recognising pharming. There are also several other precautions that can be taken to check for pharming attacks. These include: â˘Have a firewall installed and operational. A firewall monitors incoming and outgoing traffic from your computer. It checks this traffic against set criteria and will flag and stop any traffic that does not meet the criteria. A firewall could detect and block suspicious traffic, such as a malicious code trying to enter your system. â˘Have an anti-virus program installed that is designed to detect malicious pharming code. You need to scan your computer on a regular basis to check for any malicious code. It is advisable to set up an automatic scan on a daily basis at a time when your computer will normally be switched on. â˘Be aware when using public Wi-Fi connections. A hacker could look to directly access your computer and install the malicious code if you are connected to a public Wi-Fi connection. It is often advisable to use a VPN when using public Wi-Fi. This will help shield your internet activity and personal details from a hacker, making it more difficult for them to access your computer. Smishing can also be used as a form of pharming. A user is sent a link, that when they click is designed to download malware onto their mobile device. Therefore, it is advisable to have security software installed on your mobile and also scan it regularly to detect any presence of malware.
âThereâs No Such Thing as Sound Scienceâ by By Christie Aschwanden was a lead science writer for FiveThirtyEight. FiveThirtyEight, Science, Dec. 6, 2017 Science is being turned against itself. For decades, its twin ideals of transparency and rigor have been weaponized by those who disagree with results produced by the scientific method. Under the Trump administration, that fight has ramped up again. In a move ostensibly meant to reduce conflicts of interest, Environmental Protection Agency Administrator Scott Pruitt has removed a number of scientists from advisory panels and replaced some of them with representatives from industries that the agency regulates. Like many in the Trump administration, Pruitt has also cast doubt on the reliability of climate science. For instance, in an interview with CNBC, Pruitt said that âmeasuring with precision human activity on the climate is something very challenging to do.â Similarly, Trumpâs pick to head NASA, an agency that oversees a large portion the nationâs climate research, has insisted that research into human influence on climate lacks certainty, and he falsely claimed that âglobal temperatures stopped rising 10 years ago.â Kathleen Hartnett White, Trumpâs nominee to head the White House Council on Environmental Quality, said in a Senate hearing last month that she thinks we âneed to have more precise explanations of the human role and the natural roleâ in climate change. The same entreaties crop up again and again: We need to root out conflicts. We need more precise evidence. What makes these arguments so powerful is that they sound quite similar to the points raised by proponents of a very different call for change thatâs coming from within science. This other movement strives to produce more robust, reproducible findings. Despite having dissimilar goals, the two forces espouse principles that look surprisingly alike: Science needs to be transparent. Results and methods should be openly shared so that outside researchers can independently reproduce and validate them. The methods used to collect and analyze data should be rigorous and clear, and conclusions must be supported by evidence. These are the arguments underlying an âopen scienceâ reform movement that was created, in part, as a response to a âreproducibility crisisâ that has struck some fields of science.1 But theyâre also used as talking points by politicians who are working to make it more difficult for the EPA and other federal agencies to use science in their regulatory decision-making, under the guise of basing policy on âsound science.â Scienceâs virtues are being wielded against it. What distinguishes the two calls for transparency is intent: Whereas the âopen scienceâ movement aims to make science more reliable, reproducible and robust, proponents of âsound scienceâ have historically worked to amplify uncertainty, create doubt and undermine scientific discoveries that threaten their interests. âOur criticisms are founded in a confidence in science,â said Steven Goodman, co-director of the Meta-Research Innovation Center at Stanford and a proponent of open science. âThatâs a fundamental difference â weâre critiquing science to make it better. Others are critiquing it to devalue the approach itself.â Calls to base public policy on âsound scienceâ seem unassailable if you donât know the termâs history. The phrase was adopted by the tobacco industry in the 1990s to counteract mounting evidence linking secondhand smoke to cancer. A 1992 Environmental Protection Agency report identified secondhand smoke as a human carcinogen, and Philip Morris responded by launching an initiative to promote what it called âsound science.â In an internal memo, Philip Morris vice president of corporate affairs Ellen Merlo wrote that the program was designed to âdiscredit the EPA report,â âprevent states and cities, as well as businesses from passing smoking bansâ and âproactivelyâ pass legislation to help their cause. The sound science tactic exploits a fundamental feature of the scientific process: Science does not produce absolute certainty. Contrary to how itâs sometimes represented to the public, science is not a magic wand that turns everything it touches to truth. Instead, itâs a process of uncertainty reduction, much like a game of 20 Questions. Any given study can rarely answer more than one question at a time, and each study usually raises a bunch of new questions in the process of answering old ones. âScience is a process rather than an answer,â said psychologist Alison Ledgerwood of the University of California, Davis. Every answer is provisional and subject to change in the face of new evidence. Itâs not entirely correct to say that âthis study proves this fact,â Ledgerwood said. âWe should be talking instead about how science increases or decreases our confidence in something.â The tobacco industryâs brilliant tactic was to turn this baked-in uncertainty against the scientific enterprise itself. While insisting that they merely wanted to ensure that public policy was based on sound science, tobacco companies defined the term in a way that ensured that no science could ever be sound enough. The only sound science was certain science, which is an impossible standard to achieve. âDoubt is our product,â wrote one employee of the Brown & Williamson tobacco company in a 1969 internal memo. The note went on to say that doubt âis the best means of competing with the âbody of factââ and âestablishing a controversy.â These strategies for undermining inconvenient science were so effective that theyâve served as a sort of playbook for industry interests ever since, said Stanford University science historian Robert Proctor. The sound science push is no longer just Philip Morris sowing doubt about the links between cigarettes and cancer. Itâs also a 1998 action plan by the American Petroleum Institute, Chevron and Exxon Mobil to âinstall uncertaintyâ about the link between greenhouse gas emissions and climate change. Itâs industry-funded groupsâ late-1990s effort to question the science the EPA was using to set fine-particle-pollution air-quality standards that the industry didnât want. And then there was the more recent effort by Dow Chemical to insist on more scientific certainty before banning a pesticide that the EPAâs scientists had deemed risky to children. Now comes a move by the Trump administrationâs EPA to repeal a 2015 rule on wetlands protection by disregarding particular studies. (To name just a few examples.) Doubt merchants arenât pushing for knowledge, theyâre practicing what Proctor has dubbed âagnogenesisâ â the intentional manufacture of ignorance. This ignorance isnât simply the absence of knowing something; itâs a lack of comprehension deliberately created by agents who donât want you to know, Proctor said.2 In the hands of doubt-makers, transparency becomes a rhetorical move. âItâs really difficult as a scientist or policy maker to make a stand against transparency and openness, because well, who would be against it?â said Karen Levy, researcher on information science at Cornell University. But at the same time, âyou can couch everything in the language of transparency and it becomes a powerful weapon.â For instance, when the EPA was preparing to set new limits on particulate pollution in the 1990s, industry groups pushed back against the research and demanded access to primary data (including records that researchers had promised participants would remain confidential) and a reanalysis of the evidence. Their calls succeeded and a new analysis was performed. The reanalysis essentially confirmed the original conclusions, but the process of conducting it delayed the implementation of regulations and cost researchers time and money. Delay is a time-tested strategy. âGridlock is the greatest friend a global warming skeptic has,â said Marc Morano, a prominent critic of global warming research and the executive director of ClimateDepot.com, in the documentary âMerchants of Doubtâ (based on the book by the same name). Moranoâs site is a project of the Committee for a Constructive Tomorrow, which has received funding from the oil and gas industry. âWeâre the negative force. Weâre just trying to stop stuff.â Some of these ploys are getting a fresh boost from Congress. The Data Quality Act (also known as the Information Quality Act) was reportedly written by an industry lobbyist and quietly passed as part of an appropriations bill in 2000. The rule mandates that federal agencies ensure the âquality, objectivity, utility, and integrity of informationâ that they disseminate, though it does little to define what these terms mean. The law also provides a mechanism for citizens and groups to challenge information that they deem inaccurate, including science that they disagree with. âIt was passed in this very quiet way with no explicit debate about it â that should tell you a lot about the real goals,â Levy said. But whatâs most telling about the Data Quality Act is how itâs been used, Levy said. A 2004 Washington Post analysis found that in the 20 months following its implementation, the act was repeatedly used by industry groups to push back against proposed regulations and bog down the decision-making process. Instead of deploying transparency as a fundamental principle that applies to all science, these interests have used transparency as a weapon to attack very particular findings that they would like to eradicate. Now Congress is considering another way to legislate how science is used. The Honest Act, a bill sponsored by Rep. Lamar Smith of Texas,3 is another example of what Levy calls a âTrojan horseâ law that uses the language of transparency as a cover to achieve other political goals. Smithâs legislation would severely limit the kind of evidence the EPA could use for decision-making. Only studies whose raw data and computer codes were publicly available would be allowed for consideration. That might sound perfectly reasonable, and in many cases it is, Goodman said. But sometimes there are good reasons why researchers canât conform to these rules, like when the data contains confidential or sensitive medical information.4 Critics, which include more than a dozen scientific organizations, argue that, in practice, the rules would prevent many studies from being considered in EPA reviews.5 It might seem like an easy task to sort good science from bad, but in reality itâs not so simple. âThereâs a misplaced idea that we can definitively distinguish the good from the not-good science, but itâs all a matter of degree,â said Brian Nosek, executive director of the Center for Open Science. âThere is no perfect study.â Requiring regulators to wait until they have (nonexistent) perfect evidence is essentially âa way of saying, âWe donât want to use evidence for our decision-making,ââ Nosek said. Most scientific controversies arenât about science at all, and once the sides are drawn, more data is unlikely to bring opponents into agreement. Michael Carolan, who researches the sociology of technology and scientific knowledge at Colorado State University, wrote in a 2008 paper about why objective knowledge is not enough to resolve environmental controversies. âWhile these controversies may appear on the surface to rest on disputed questions of fact, beneath often reside differing positions of value; values that can give shape to differing understandings of what âthe factsâ are.â Whatâs needed in these cases isnât more or better science, but mechanisms to bring those hidden values to the forefront of the discussion so that they can be debated transparently. âAs long as we continue down this unabashedly naive road about what science is, and what it is capable of doing, we will continue to fail to reach any sort of meaningful consensus on these matters,â Carolan writes. The dispute over tobacco was never about the science of cigarettesâ link to cancer. It was about whether companies have the right to sell dangerous products and, if so, what obligations they have to the consumers who purchased them. Similarly, the debate over climate change isnât about whether our planet is heating, but about how much responsibility each country and person bears for stopping it. While researching her book âMerchants of Doubt,â science historian Naomi Oreskes found that some of the same people who were defending the tobacco industry as scientific experts were also receiving industry money to deny the role of human activity in global warming. What these issues had in common, she realized, was that they all involved the need for government action. âNone of this is about the science. All of this is a political debate about the role of government,â she said in the documentary. These controversies are really about values, not scientific facts, and acknowledging that would allow us to have more truthful and productive debates. What would that look like in practice? Instead of cherry-picking evidence to support a particular view (and insisting that the science points to a desired action), the various sides could lay out the values they are using to assess the evidence. For instance, in Europe, many decisions are guided by the precautionary principle â a system that values caution in the face of uncertainty and says that when the risks are unclear, it should be up to industries to show that their products and processes are not harmful, rather than requiring the government to prove that they are harmful before they can be regulated. By contrast, U.S. agencies tend to wait for strong evidence of harm before issuing regulations. Both approaches have critics, but the difference between them comes down to priorities: Is it better to exercise caution at the risk of burdening companies and perhaps the economy, or is it more important to avoid potential economic downsides even if it means that sometimes a harmful product or industrial process goes unregulated? In other words, under what circumstances do we agree to act on a risk? How certain do we need to be that the risk is real, and how many people would need to be at risk, and how costly is it to reduce that risk? Those are moral questions, not scientific ones, and openly discussing and identifying these kinds of judgment calls would lead to a more honest debate. Science matters, and we need to do it as rigorously as possible. But science canât tell us how risky is too risky to allow products like cigarettes or potentially harmful pesticides to be sold â those are value judgements that only humans can make.
B2 "TO LINK ACTIONS WITH TIME EXPRESSIONS"
Align Panel: This panel allows you to align one or more objects the the artboard or other objects. Alignment: Formatting the appearance of text with the margins of the text box. Anchor Point Tool: Allows you to add or remove handles to create a curve on an anchor point. Anchor Points: A point on a path indicates a change of direction. Appearance Panel: This panel shows you the fill, strokes, graphic styles, and effects that have been applied to an object, group or layer and are able to modify theses from this panel directly. Area Type Tool: This occurs when using the type tool and you click and drag a text box, the text will automatically wrap inside the box. Blend Tool: This tool allows you to combine shapes/colors between two or more objects to create a new object between the original, blending the colors and shapes by inserting the middle steps to get from one object to the next. Blob Brush Tool: This tool is used to create free-form objects that can have a more hand-drawn feel. Brushes: Allows you to set the appearance/style of a path, can be applied to existing paths or used to create new paths. Clipping Masks: This command allows you to mask objects to a shape so that only areas that lie within the shape are visible, the mask and objects that are masked are called a clipping set. Closed Path: A path that has the same beginning and ending point. It forms a complete shape that can be filled with color or text. Create Outlines: This command converts text to closed paths and can be found in the Type Menu. Curvature Pen Tool: Allows you to simply create paths with curved anchor points. Curves: Can be applied to an anchor point using handles to create an arched line. Direct Select Tool: Allows you to select individual points of any path. Effects: These can be added to objects to create quick dynamic characteristics. Eraser Tool: This tool allows you to remove anchor points and cut through paths. Expand Objects: This allows you to divide a single object into multiple objects that make up its appearance. Eyedropper Tool: This tool allows you to sample the color or text from an existing part of the artwork. Global Swatches: This is a color swatches that will be automatically updated throughout your artwork when you change them, indicated with a white triangle in the corner of the swatch. Graphic Styles: A set of reusable appearance attributes that allow you to quickly change the look of an object. Grouping: This command allows you to link objects together so that they can be moved, scaled, rotator, or copy. Groups can be nested inside other groups. Hierarchy: To create visual order in design, controlling what the viewer looks at in order using size, color, contrast, etc⌠Image Trace: This command allows you to convert a raster image into a vector artwork. Isolation Mode: This mode allows you to adjust single objects/groups inside a group without ungrouping the group. Join Tool: This tool joins paths and anchor points together quickly. Kerning: This is the adjustment of the space between two individual letters. Knife Tool: This tool allows you to split an object into 2 pieces along a freehand path you draw. Leading: This is the adjustment of the space between lines of text. Live Corners: This widget appears when using the Direct Select tool and a corner is selected, when used this will create a rounded corner. Live Paint: This command allows you to quickly apply colors to objects in a complex design. Open Path: A path that does not end, not connected back to the original anchor point. Overflow Text: This occurs when the text box is too small to house all the text and is indicated by a small red plus sign in the bottom right corner of the text box. Paintbrush Tool: This tool is used to create free-form paths that can have a more hand-drawn feel. Paragraph Spacing: The space that occurs between lines of text. Pathfinder Panel: This panel allows you to create complex shapes by selecting 2 or more objects and using the buttons in the panel to cut, combine, or divide the objects. Paths: These are created when 2 or more points are connected, these are created using the pen tool. Pen Tool: It allows you to create and edit anchor points and paths. Pencil Tool: This tool is used to create free-form shapes or lines, the accuracy of the lines can be adjusted. Perspective Tool: This tool allows you to place elements on a perspective grid to adjust objects on a different perspective, automatically snapping to the perspective grid. Placeholder Text: Text that is placed in a text box that "holds a place" in a design to allow for creating a layout or adjust the text design. Point Type Tool: This occurs when when using the type tool and you click once, the text will continue without wrapping. Readability: The characteristics of fonts and styles that make test easy to identify and read. Scale, Shear, Distort Objects: This set of commands allows you to adjust the size and perspective of objects. Scissors Tool: This tool allows you to split a path into 2 pieces. Selection Tool: Allows you to select paths, objects or groups by click or dragging over them. Shape Builder Tool: This interactive tool allows you to create complex shapes by merging and erasing simpler objects. Shapes Tools: A group of tools to create basic shapes without using the pen tool (rectangle, ellipse, polygon, star, etcâŚ). Smooth Tool: This tool will smooth a complex path and reduce the number of anchor points. Swatches: This is a saved color that can be applied in a design via the swatches panel and can be grouped, these can include gradients and patterns. Text Wrapping: This is when the text in a text box automatically wraps to the next line when it reaches the edge of the box. Threading Text: This is the ability to create 2 or more text boxes that are linked, when text is added/adjusted in one box, it will affect the other(s). Touch Type Tool: This tool allows you to adjust individual letter in a previously created text box. Tracking: This is the adjustment of the overall spacing between letters. Transform Objects: This allows you to change the size of objects. Type on a Path Tool: This tool allows you to add text along any previously created path. Type Tool: This tool allows you to create text in a design. View Modes: Ability to view projects and adjust the display on the screen. Modes include Outlines, Presentation, & Full Screen.