We found 59 results that contain "data communications"

Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Various AI algorithms then return new content in response to the prompt. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person.
Early versions of generative AI required submitting data via an API or an otherwise complicated process. Developers had to familiarize themselves with special tools and write applications using languages such as Python.
Now, pioneers in generative AI are developing better user experiences that let you describe a request in plain language. After an initial response, you can also customize the results with feedback about the style, tone and other elements you want the generated content to reflect.

NAIC System.
Changes in industry demand and technological innovations are important factors affecting future occupational employment, as we saw in the previous section. Furthermore, the projected employment published by the BLS is given for detailed industries and occupations. Thus, I describe the industry classification systems used by the BLS and other federal agencies. These systems provide a framework for assigning codes to establishments, allowing for consistent data collection and analyses of economic statistics in industries over time.
Federal statistical agencies used the Standard Industrial Classification (SIC) system in 1939 when it was first published by the former Bureau of the Budget, which is now the Office of Management and Budget (OMB). Like all classification systems, it was updated periodically. However, economic changes, such as the emerging services-oriented economy, increased use of computers, rapidly evolving technology, and globalization, motivated the need to change the industry classification system.

The group project is a much-dreaded component of undergraduate courses, doubly so if students are expected to create their own project from scratch. However, instructors consistently return to the independent group project as an exercise that, if done properly, stimulates student inquiry and cooperation. In this post, I reflect on my experiences facilitating student-led group projects in a biology course and relate these experiences to the commonalities of independent group work across disciplines. I outline four common issues related to independent group projects, then provide the rationale for managing each issue to maximize learning outcomes.
Issue #1: Students Don’t See the Value of Independent Projects
With several classes, part-time jobs, extracurricular activities, and a social life to manage, we can imagine why undergraduates may prefer working on a prescribed project rather than one they design themselves. Independent projects require a lot of brainpower and effort, and we are all likely inclined to gravitate toward projects in which we can work on each step in a straightforward manner. Much of the work that students will encounter outside the classroom, however, requires flexibility and creativity. Using inquiry is essential to translate knowledge into new situations, and independent projects are a great opportunity to practice inquiry.
 Tips

Emphasize the real-world skills that students gain. This can be particularly valuable for students who aren’t necessarily interested in the subject matter but can see the benefits they gain in other areas, such as problem solving and managing a team.
Explain how each component of the independent project emulates a real practice in the discipline. This communicates to your students that you are putting them through this experience to help them develop their competencies, not to waste their time.
Treat every pitfall as a lesson, not as an opportunity to point out deficiencies. If something goes wrong, help the students figure out a way to move forward. Then, ask the students what they learned from the experience (e.g., how to better communicate, the value of a contingency plan, time management) and how they might strategize differently if confronted with a similar situation.

Issue #2: Designing and Conducting Independent Projects is Overwhelming
Often, the end product of an independent project seems like an unattainable goal. The concept of an independent project can provide freedom, but the lack of structure can leave students feeling lost and unsure of their path. They key for instructors is to provide structure (e.g., schedules, formatting guidelines) without stifling opportunities for students to be creative and take charge of their own learning. 
Tips

Break down the project into manageable goals. Create a guide for students that details out the specific steps that lead to the end product, which includes due dates for smaller components of the project. This will help students feel competent as they achieve each small task and to better manage their time.
Provide iterative feedback. If the only evaluation students receive on their work is their final project grade, they don’t have the opportunity to improve and learn along the way. Checking in with students as they reach each small goal allows both students and instructor to keep track of progress and to make adjustments if a group has gotten off-course.
Take time in class to praise students for their progress. Students may have trouble perceiving their accomplishments, so bringing them up will help to increase student confidence moving forward with the project.
Help groups work through challenges in a structured manner. Ask groups to bring up challenges they have encountered lately, and run a brainstorming session with the entire class to overcome these challenges. Often, other groups will have encountered similar challenges, so working through them together helps students feel more competent and build a sense of community among classmates.

Issue #3: Group Members do not Contribute Equally
A common issue in group projects is that some students don’t have the time or interest to fully participate. This puts an undue burden on the other group members, who must take on a larger role in the project than intended. Instructors can minimize the incentive to “slack off” and create strategies for teams to manage uncooperative group members.
Tips

Have students create a team contract. Provide students with a general template for a group contract with space to detail procedures for written communication among teammates, goals for the project, and consequences for group members who don’t pull their weight. All students should contribute to the creation of the contract and sign it. If an issue arises at any point during the project, the group has a clear path forward to correct the issue.
Build in opportunities for every member to contribute. The threat of being held individually accountable is often enough motivation for students to pull their weight. Take time in class to consult with each group individually or run brainstorming sessions with the entire class, asking individual students to share their experience or discuss project results.

Issue #4: Group Members Have Disparate Goals
Group projects can be frustrating if students clash with teammates due to differing interests or goals. While it’s impossible to remove all disagreement among group members, creating a positive collaborative atmosphere can help students discuss and pursue their goals in a supportive manner. 
Tips

Form groups based on mutual interests. Ask students to sit in different sections of the classroom based on potential project topics, then organize the students into groups based on their “interest zone.” An added bonus to this approach is that student groups will automatically have something in common, which can help them form social bonds and increase the enjoyment of working together.
Make time at the start of the project for students to discuss goals. Talking about how the project might relate to their goals for the course, their undergraduate education, and/or their career helps students understand the motivations of their teammates. When group members understand each other’s motivations, they can adjust their expectations and support the achievement of a variety of goals.

While your students may not enjoy the long hours, issues with teammates, and frustrations that accompany the independent group project, they may come to appreciate the lessons learned from their experiences. An example of working through a road block on their project could become a scenario they describe in a job interview. Dealing with an uncooperative group member could inform their approach to team management in their career. Engaging in inquiry could become the foundation for a student’s decision to pursue graduate school. Keep these outcomes in mind, and make every effort to put a positive spin on student progress.

Further Reading
Guide: “What are Best Practices for Designing Group Projects?” from Carnegie Mellon University. https://www.cmu.edu/teaching/designteach/design/instructionalstrategies/groupprojects/design.html
Guide: “Group Work: Using Cooperative Learning Groups Effectively” from Vanderbilt University. https://cft.vanderbilt.edu/guides-sub-pages/setting-up-and-facilitating-group-work-using-cooperative-learning-groups-effectively/
Guide: “Successful Group Projects” from University of Leicester. https://www2.le.ac.uk/offices/ld/resources/study/group-projects
Article: Creating Positive Group Project Experiences by Chapman and van Auken. http://journals.sagepub.com/doi/abs/10.1177/0273475301232005

Forest ecosystems are a critical component of the world’s biodiversity as many forests are more biodiverse than other ecosystems.
Forests cover 31 percent of the global land area. Approximately half the forest area is relatively intact, and more than one-third is primary forest (i.e. naturally regenerated forests of native species, where there are no visible indications of human activities and the ecological processes are not significantly disturbed).
The total forest area is 4.06 billion hectares, or approximately 5 000m2 (or 50 x 100m) per person, but forests are not equally distributed around the globe.
More than half of the world’s forests are found in only five countries (the Russian Federation, Brazil, Canada, the United States of America and China) and two-thirds (66 percent) of forests are found in ten countries.





 

REF: https://courses.lumenlearning.com/wm-organizationalbehavior/chapter/what-is-organizational-behavior
In a nutshell, organizational behavior is the study of how human behavior affects an organization. Organizational behavior aims to learn how an organization operates through the behaviors of its members. Instead of taking a strictly numerical approach to determine an organization’s operations, it takes a more psychological approach. By understanding people, you can better understand an organization
 
The academic study of organizational behavior can be dated back to Taylor’s scientific theory . However, certain components of organizational behavior can date back even further. In this section we will discuss how organizational behavior developed into a field of its own.
Looking back thousands of years we can find components of organizational behavior. Famous philosophers like Plato and Aristotle discussed key components of today’s organizations including the importance of leadership and clear communication. While these seem like very basic and broad concepts today, at the time they were innovative ideas and helped to lay the foundation for organizational behavior.
If organizational behavior were a simple topic, this course would be short and sweet. We could simply say that organizational behavior is how people and groups act within an organization. But it’s not so simple!
When organizational behavior grew into an academic study with the rise of the Industrial Revolution, it began to complicate what could appear to be simple topics. People began asking a lot of questions and started critiquing how organizations operated. Like many academic ventures, people began to deep dive into how behavior plays a role in organizations and why changes in behavior alter the way organizations operate. Along the way, organizational behavior has grown to incorporate components of management, psychology, leadership, personality traits, motivation, etc.
Organizational behavior has grown into its own niche within a wide variety of other genres. This is exciting because it allows us to really investigate each and every aspect of behavior within an organization! Today, organizational behavior is recognized as an essential component of an organization. Scholars and businesses alike recognize its importance and continue to help it adapt to current issues and new findings.

Why a Scientific Format?
The scientific format may seem confusing for the beginning science writer due to its rigid structurewhich is so different from writing in the humanities.
One reason for using this format is that it is ameans of efficiently communicating scientific findings to the broad community of scientists in a uniform manner. Another reason, perhaps more important than the first, is that this format allows the paper to be read at several different levels.
For example, many people skim Titles to find out what information is available on a subject. Others may read only titles and Abstracts. Those wanting to go deeper may look at the Tables and Figures in the Results, and so on. The take home point here is that the scientific format helps to insure that at whatever level a person reads your paper (beyondtitle skimming), they will likely get the key results and conclusions.

graphical user interface:
The graphical user interface (GUI  is a form of user interface that allows users to interact with electronic devices through graphical icons and audio indicators such as primary notation, instead of text-based user interfaces, typed command labels, or text navigation. GUIs were introduced in reaction to the perceived steep learning curve of command-line interfaces (CLIs), which require commands to be typed on a computer keyboard.
The actions in a GUI are usually performed through direct manipulation of the graphical elements. Beyond computers, GUIs are used in many handheld mobile devices such as MP3 players, portable media players, gaming devices, smartphones, and smaller household, office, and industrial controls. The term GUI tends not to be applied to other lower-display resolution types of interfaces, such as video games ), or not including flat screens, like volumetric displays.
User interface and interaction design:
Designing the visual composition and temporal behavior of a GUI is an important part of software application programming in the area of human-computer interaction. Its goal is to enhance the efficiency and ease of use for the underlying logical design of a stored program, a design discipline named usability. Methods of user-centered design are used to ensure that the visual language introduced in the design is well-tailored to the tasks.
The visible graphical interface features of an application are sometimes referred to as chrome or GUI (pronounced gooey) Typically, users interact with information by manipulating visual widgets that allow for interactions appropriate to the kind of data they hold. The widgets of a well-designed interface are selected to support the actions necessary to achieve the goals of users.

common myths
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other. 

TIMELINE MYTHS



The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”

CONTROVERSY MYTHS



Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.