Life Science

All Cognitive Architectures have their unique ASMs that are necessary to drive decision making, learning and applicability. Though each Action Selection Mechanisms discussed in this paper presents a valid justification for “how and what” is necessary to solve a problem, they do not focus on “why”  the decision was made. The “why” component is what makes a human a truly unique organism as being right or making the best decision is never only the case. This component will be necessary in modeling human cognition and will bring Artificial Intelligence one step closer to truly representing a human and their though-action-categorization processes.

In traditional fibre optic communications, light pulses are used to transmit data across transmission channels. To protect the data, it is algorithmically encrypted in each light pulse. This has a major drawback; the amount of data throughput is reduced as the space inside each pulse has to carry both data and encryption. The underlying principle behind Quantum Cryptography (QC) is that we can increase the encryption strength of data traversing an optical channel by polarizing photons prior to transmission. This means the data packet can transmit data only; thereby increasing data throughput per unit.
The principle of using the physical characteristics of light as an encryption methodology has been explored by numerous researchers. Bennett and Brassard (1984) set the foundation and proposed the BB84 protocol, which uses polarization of photons as it method of encryption. Further improvements were built on this foundation and included Time Polarization (Ali, 2016) which uses the time between successive photons as the encryption, SARG04 and Decoy State; which both relied on the sharing of a photonic key before standardized data transmission (Fehr, 2010 and Lo et al., 2008) and the Continuous Variable scheme as presented by Ralph (1999), that relied on the modulation in phase and amplitude of photons for encryption.
This paper will seek to investigate the BB84 protocol to determine if it is a viable alternative to traditional AC. It will seek to explore its utility and application to industry today by investigating its strengths and limitations, the legal, social and ethical implications of its use and finally, any recommendations for improvements.

Topic 1: Online sports training programs can be used to create the next generation of competitive student athletes.
Just as education has moved away from a structured classroom time oriented approach, so too has the need for quality sports training.  Traditionally, athletes are expected to attend on various days a physical sports training program. Here, the student practices their sport of choice and compete against their peers to progressively enhance their proficiency at their discipline. This traditional method of training is limited to students from localized areas and is very expensive, as multiple personnel and physical infrastructure is required to facilitate training at the various multimillion dollar venues for the students. It is also inconvenient for the athletes as they are expected to attend set training sessions at specific intervals throughout specific days of the week; regardless of what is going on in their personal lives. This traditional practice is also responsible for the burnout of athletes after University, as they gain more important commitments through family and job requirements, which take away their availability and ability to make practice sessions.
Online Sports Programs can afford students the ability to pursue a fully rounded educational experience online without removing the student from their home communities. This can be ideal for mature working students participating in online University programs and students who cannot afford to pack up and fly to a brick and mortar University for a concentrated and isolated four year degree program. This method also supports an active lifestyle beyond the duration of traditional University life; as past athletes are encouraged to shake off the rust and rejoin sports programs online which will have a component that expects them to participate in their local communities to get the physical training in. Online Sports training will also promote students to be active members within their communities and afford students who live in isolated areas the opportunity to be trained by professional coaches many miles away. This training then enhances the sporting expertise of the students which can then raise the level of sports within the student’s local area and increase enrollment numbers for the University as word spreads in served communities.
The infrastructure required to support such an initiative will need to have a heavy technological base, with additional bells and whistles not found in the online academically oriented degree programs of today. This initiative will require, but is not limited to a web interface for coach-student content dissemination and assessment, a high resolution video link to view students training progress remotely, an online chat interface to allow instantaneous communications between the coach and student, a database to manage the intense amount of data between the coaches and students – this can also include but is not limited to documents, videos, chats, voice and so forth.
This research paper will therefore seek to create a comprehensive framework to be used by a University for the delivery of online coaching to an athlete from beginning to end. The results of this program will be used to compare the results obtained by traditional training programs to comparatively determine if online coaching is the new alternative for the athlete of the future.

Data analytics (DA) is the process of examining data sets in order to draw conclusions
about the information they contain, increasingly with the aid of specialized systems and
software. Data analytics technologies and techniques are widely used in commercial industries to
enable organizations to make more-informed business decisions and by scientists and researchers
to verify or disprove scientific models, theories and hypotheses. (Rouse and Stedman, 2016).
This project will seek to discover the applicability of DA within higher education and
specifically, the usability of DA to the University of the West Indies (UWI). By using DA, the
UWI can achieve many business outcomes and be more responsive to their target market.

The University of the West Indies Open Campus (UWIOC) operates within seventeen (17) English-speaking Caribbean territories and provides a number of programmes across all levels of the academic landscape incorporating online, physical and blended learning methodologies servient to both pedagogic and andragogical learners (UWIOC, 2017). The guiding principles of the UWIOC is to provide the resources that can allow persons primarily within and without the Caribbean region the ability to reach their full potential through affirmation in their core values and utilization of their diversified administrative support mechanisms. The UWIOC will now be spearheading an online sports initiative and the aim is to replicate the core values and diversification of the university within the served territories. The UWIOC- served territories are as follows:

Cognitive Computing within Healthcare is a large and expanding field for research and development. This paper will seek to examine the major developments in all aspects of this field and its application to the people of the Caribbean. It will then follow up that research with the implementation of an Artificial Society (AS) to fully understand the full impacts with a case study on the effect of Diabetes and its long-term effects on Caribbean people.