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The World Bank's latest annual report describes the year 2022 as one of "uncertainty", citing a "convergence of crises". Climate change, galloping inflation, disruption of supply chains, military conflicts... Worldwide, 733 million people continue to live without electricity. This figure is still expected to be 670 million by 2030 - 10 million more than the previous estimate.

What if this state of constant world instability and fragility were to become the new normal? Is instability stabilising? The old VUCA (Volatility, Uncertainty, Complexity, Ambiguity) model, long used to describe the volatility of economic markets, no longer seems to adequately describe the current situation. Fragile and often anxiety-provoking, the modern world has become BANI (Brittle, Anxious, Non-Linear, Incomprehensible) - and those stakeholders quickest to adapt will be rewarded.

Cascading and intertwined global crises
The United Nations' Sustainable Development Goal 7 calls for universal access to reliable, sustainable and modern energy services by 2030 . An ambitious target, to say the least, given the many upheavals shaking the world.

Electricity pylon


BANI vs. VUCA: How Leadership Works in the World of Tomorrow
October 24, 2022
How to use the BANI model for your business

The world is on the move. Nothing is the same anymore. The VUCA model, which describes our world today, has had its day. It is being replaced by a new model: BANI. What does BANI mean? And what are the differences to the VUCA world? Barbara Stöttinger, Dean of the WU Executive Academy, explains the BANI model and shows you how you can use it for your business.

Web Content Accessibility Guidelines (WCAG) 2.2 defines how to make Web content more accessible to people with disabilities. Accessibility involves a wide range of disabilities, including visual, auditory, physical, speech, cognitive, language, learning, and neurological disabilities. Although these guidelines cover a wide range of issues, they are not able to address the needs of people with all types, degrees, and combinations of disability. These guidelines also make Web content more usable by older individuals with changing abilities due to aging and often improve usability for users in general.

WCAG 2.2 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.2 builds on WCAG 2.0 [WCAG20] and WCAG 2.1 [WCAG21], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview.

Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more.

Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see:

Essential Components of Web Accessibility
User Agent Accessibility Guidelines (UAAG) Overview
Authoring Tool Accessibility Guidelines (ATAG) Overview
Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2.

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.

The degree to which attention impacts a student’s academic and social performance is related to the interactions between the student’s academic and behavioral needs and the environmental
demands.

There are three types of logical reasoning. Informally, two kinds of logical reasoning can be distinguished in addition to formal deduction, which are induction and abduction
The first generation microprocessors were introduced in the year 1971-1972 by Intel Corporation. It was named Intel 4004 since it was a 4-bit processor.

It was a processor on a single chip. It could perform simple arithmetic and logical operations such as addition, subtraction, Boolean OR and Boolean AND.

I had a control unit capable of performing control functions like fetching an instruction from storage memory, decoding it, and then generating control pulses to execute it.

Second Generation (8 - bit Microprocessor)

The second generation microprocessors were introduced in 1973 again by Intel. It was a first 8 - bit microprocessor which could perform arithmetic and logic operations on 8-bit words. It was Intel 8008, and another improved version was Intel 8088.

Pick Popular Phones: Figure out which phones most people use and focus on testing your app on those.

Use Fake Phones: You can use computer programs that act like different phones to test your app without needing the actual devices.

Try Real Phones: Test your app on actual phones to make sure everything looks and works right.

Make Sure Everything Fits: Check that your app's design adjusts properly to fit on screens of different sizes. You don't want things to look weird or cut off.

Make Sure It Works Right: Test all the features of your app to make sure they do what they're supposed to on different phones.

Check If It's Fast: See if your app runs smoothly and doesn't drain the phone's battery too quickly, no matter what kind of phone it's on.

Make Sure It Works with Different Phone Systems: Test your app on different versions of Android and iOS to make sure it works on all of them.

Test It with Bad Internet: Try using your app on slow or spotty internet connections to make sure it still works okay.

Check It in Different Languages: Test your app with different languages and writing styles to make sure everything looks right.

Make Sure It's Easy to Use: See if people who aren't familiar with your app can figure out how to use it without any problems.

Make Sure Everyone Can Use It: Check if your app is accessible for people who might have trouble seeing or hearing things on their phones.

Keep Testing as You Make Changes: Every time you update your app, test it again to make sure you didn't accidentally break anything.

Ask People to Try It: Get feedback from real users to see if there are any problems or things that could be better.

The study of logical argumentation is relevant to the study of critical thinking. Logic is concerned with the analysis of arguments, including the appraisal of their correctness or incorrectness.[33] In the field of epistemology, critical thinking is considered to be logically correct thinking, which allows for differentiation between logically true and logically false statements

The study of logical argumentation is relevant to the study of critical thinking. Logic is concerned with the analysis of arguments, including the appraisal of their correctness or incorrectness.[33] In the field of epistemology, critical thinking is considered to be logically correct thinking, which allows for differentiation between logically true and logically false statements.[34]

In "First wave" logical thinking, the thinker is removed from the train of thought, and the analysis of connections between concepts or points in thought is ostensibly free of any bias. In his essay Beyond Logicism in Critical Thinking Kerry S. Walters describes this ideology thus: "A logistic approach to critical thinking conveys the message to students that thinking is legitimate only when it conforms to the procedures of informal (and, to a lesser extent, formal) logic and that the good thinker necessarily aims for styles of examination and appraisal that are analytical, abstract, universal, and objective. This model of thinking has become so entrenched in conventional academic wisdom that many educators accept it as canon".[29] Such principles are concomitant with the increasing dependence on a quantitative understanding of the world.