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Topic Review
Sustainable Digital Innovation
Digital innovation is referring to a product, process or business model that is new or requires significant changes and it is enabled by IT. Sustainable digital innovation supports the digitalization process of the economy in a green, long-lasting and organic way. Thus, it serves the need of a sustainable future. The regular digital innovation addresses performances, costs, technology and attractiveness to customers and business, while the sustainable one also addresses to the environmental and social factors. Sustainable digital innovation tries to create value for all the stakeholders involved in the production and distribution process, it is inspired by nature, not only by technology, it reduces resources waste and targets the societal goals, not only the commercial and business goals.
  • 1.8K
  • 17 Jun 2021
Topic Review
Prediction of Customer Churn in Retail E-Commerce Business
Customer Relationship Management (CRM) is defined as a process in which the business manages its interactions with customers using data integration from various sources and data analysis.
  • 1.8K
  • 18 Jan 2022
Topic Review
AT&T U-verse
AT&T U-verse, commonly called U-verse, is an AT&T brand of triple-play telecommunications services, although the brand is now only used in reference to the IPTV service. Launched on June 26, 2006, U-verse included broadband Internet (now AT&T Internet or AT&T Fiber), IP telephone (now AT&T Phone), and IPTV (U-verse TV) services in 48 states. In September 2016, AT&T announced that the "U-verse" brand would no longer apply to its broadband and phone services, renaming them "AT&T Internet" and "AT&T Phone", respectively. On February 25, 2021, AT&T announced that it would spin off DirecTV, U-verse and AT&T TV into a separate entity, selling a 30% stake to TPG Capital while retaining a 70% stake in the new standalone company. The deal is expected to close in the second quarter of 2021.
  • 1.8K
  • 31 Oct 2022
Topic Review
Health Service Executive Ransomware Attack
On 14 May 2021, the Health Service Executive (HSE) of Ireland suffered a major ransomware cyberattack which caused all of its IT systems nationwide to be shut down. It was the most significant cybercrime attack on an Irish state agency and the largest known attack against a health service computer system. Bloomberg News reported that the attackers used the Conti ransomware. The group responsible was identified as a criminal gang known as Wizard Spider, believed to be operating from Russia. The same group is believed to have attacked the Department of Health with a similar cyberattack. On 19 May, the Financial Times reviewed private data for twelve individuals which had appeared online as a result of the breach. On 28 May, the HSE confirmed confidential medical information for 520 patients, as well as corporate documents were published online. On 23 June, it was confirmed that at least three quarters of the HSE's IT servers had been decrypted and 70% of computer devices were back in use. By September, over 95% of all servers and devices had been restored.
  • 1.8K
  • 05 Dec 2022
Topic Review
Dead Space (Video Game)
Dead Space is a 2008 survival horror video game developed by EA Redwood Shores and published by Electronic Arts for the PlayStation 3, Xbox 360 and Microsoft Windows. Released in October 2008, the title was the first in the Dead Space franchise and drew inspiration from other works of horror, notably Resident Evil 4 and the Silent Hill series. Set on a mining spaceship overrun by monsters called Necromorphs, the player controls engineer Isaac Clarke from the third-person perspective as he navigates the spaceship, fights Necromorphs, and struggles with increasing psychosis. The player explores areas on the station through the narrative, solving environmental puzzles while finding ammunition and equipment to survive. Isaac wields engineering equipment as weapons. Dead Space was pitched in early 2006 and fit Electronic Arts' priority of creating new intellectual properties. A prototype of the game was developed for the original Xbox console and lasted 18 months. The team aimed for realism and innovation in design. In the pursuit of these goals, the team removed set spawn points for enemies and omitted the heads-up display in favor of presenting information in the world. Immersive and frightening sound design was a large priority during production, and the score by Jason Graves was noted by critics cause of evoke tension and unease. Dead Space debuted weak in sales but eventually sold over a million copies worldwide. The game was met with universal acclaim: reviewers praised its atmosphere, gameplay and sound design. It won and was nominated for multiple industry awards and has been ranked by journalists as one of the greatest video games ever made. To following of the game success, spawned an adaptation for mobile phones, two numbered sequels (released in 2011 and 2013), several spin-off titles, and other related media, including a comic book prequel and an animated film. A remake of Dead Space is currently in development by EA's Motive Studios that set for release in early 2023.
  • 1.8K
  • 14 Oct 2022
Topic Review
Fog and Edge Computing
The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other. Conventional computing infrastructures are struggling to satisfy dramatic growth in demand from a deluge of connected heterogeneous end points located at the edge of networks while, at the same time, meeting quality of service levels. The complexity of computing at the edge makes it increasingly difficult for infrastructure providers to plan for and provision resources to meet this demand. While simulation frameworks are used extensively in the modelling of cloud computing environments in order to test and validate technical solutions, they are at a nascent stage of development and adoption for fog and edge computing. This paper provides an overview of challenges posed by fog and edge computing in relation to simulation.
  • 1.8K
  • 23 Dec 2020
Topic Review
Deep Residual Learning for Image Recognition
In 2015, a deep residual network (ResNet) was proposed for image recognition. It is a type of convolutional neural network (CNN) where the input from the previous layer is added to the output of the current layer. Deep Residual Networks have recently been shown to significantly improve the performance of neural networks trained on ImageNet, with results beating all previous methods on this dataset by large margins in the image classification task. 
  • 1.8K
  • 22 Sep 2022
Topic Review
Application of Maturity-Models in Universities
A maturity model is a widely used tool in software engineering and has mostly been extended to domains such as education, health, energy, finance, government, and general use. It is valuable for evaluations and continuous improvement of business processes or certain aspects of organizations, as it represents a more organized and systematic way of doing business.  We present a Systematic Literature Review study of the elements and purposes of the maturity models applied to universities. Obtaining results that show the intention to evaluating the maturity of only some areas of the universities and not the whole, creating some gaps that do not allow to measure the desired level. It also shows how information technologies help its implementation in the field. 
  • 1.8K
  • 04 Jun 2021
Topic Review
Crop Yield Prediction Approaches
Crop yield prediction is becoming more important because of the growing concern about food security. Early crop yield prediction plays an important role in reducing famine by estimating the food availability for the growing world population. Deep learning has emerged as a potential tool for crop yield prediction, allowing the model to automatically extract features and learn from the datasets. Meanwhile, smart farming technology enables the farmers to achieve maximum crop yield by extracting essential parameters of crop growth.
  • 1.8K
  • 12 May 2022
Topic Review
Born–Oppenheimer Approximation
In quantum chemistry and molecular physics, the Born–Oppenheimer (BO) approximation is the best-known mathematical approximation in molecular dynamics. Specifically, it is the assumption that the wave functions of atomic nuclei and electrons in a molecule can be treated separately, based on the fact that the nuclei are much heavier than the electrons. Due to the larger relative mass of a nucleus compared to an electron, the coordinates of the nuclei in a system are approximated as fixed, while the coordinates of the electrons are dynamic. The approach is named after Max Born and J. Robert Oppenheimer who proposed it in 1927, in the early period of quantum mechanics. The approximation is widely used in quantum chemistry to speed up the computation of molecular wavefunctions and other properties for large molecules. There are cases where the assumption of separable motion no longer holds, which make the approximation lose validity (it is said to "break down"), but even then the approximation is usually used as a starting point for more refined methods. In molecular infrared spectroscopy, using the BO approximation means considering molecular energy as a sum of independent terms, e.g.: [math]\displaystyle{ E_\text{total} = E_\text{electronic} + E_\text{vibrational} + E_\text{rotational} + E_\text{nuclear spin}. }[/math] These terms are of different orders of magnitude and the nuclear spin energy is so small that it is often omitted. The electronic energies [math]\displaystyle{ E_\text{electronic} }[/math] consist of kinetic energies, interelectronic repulsions, internuclear repulsions, and electron–nuclear attractions, which are the terms typically included when computing the electronic structure of molecules.
  • 1.8K
  • 16 Nov 2022
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