Knowledge Management Term Paper Example | Topics and Well Written Essays - 750 words

Knowledge Management - Term Paper Example This discussion stresses that it is always possible to build a network within the organization where data from various departments will be collaborated into a single centralized system before forwarding it to Google’s platform. As far as the use of the database is concerned to, the platform put forth by Google cloud services makes it possible for all individual systems within the organization to have a common access so that organizational roles and functions on the database can be undertaken on a collaborated purpose.As the report highlights  comes with the cloud services offered on Google’s website is that it makes organizational innovation more revealing. That is, is stimulates the act and practice of organizational innovation among the personnel within the organization. This is done in a number of ways. Because of the idea of bringing about collaboration, it becomes almost mandatory that every sector of the organization should be working on its own miniature databa se that would be forwarded into a centralized system before sending it to the Google database. This decentralized system eradicates the temptation that certain departments will be waiting on the centralized system to get all the work done. Rather, the innovative skill of every sector is quickened and brought alive as they all take up a role to deliver within the organization.  Expert systems and neural networks are both components of a technology based management system that is rooted in the principles of knowledge management.... cloud services offered such as replication, patch management and backups require that people within the system get themselves at breast with the technological time to be able to live up such challenges. By so doing, creativity and innovation is highlighted among the people because they will be forced to live up to modernity and time. 2. Generally, expert systems and neural networks are both components of a technology based management system that is rooted in the principles of knowledge management. This is because in both cases, there is that conscious effort by stakeholders to ensuring that the capabilities, insights and experiences available to the human resource base are identified, nurtured, utilized and developed through the use of basic technology (Guo & Sanchez, 2005). As far as expert systems is concerned, it could be said to be tilted more towards artificial intelligence that allows for the use of computer system to undertake the basic processes of decision-making that would have otherwise existed for the human resource to undertake. The process is referred to as expert systems because in its delivery of work, it functions and undertakes processes as a human expert would do. The capabilities available in expert systems thus have to do with the fact that it does not use logical procedures of developers but use consequential logical reasoning to solve complex problems. In the long run, the inadequacies and weaknesses of the creator of the systems are overshadowed by the complex reasoning capabilities of the system and this is a huge advantage to users of expert systems. Neural network is also attributed to artificial intelligence in the manner in which it uses the artificial basis of the biological concept of neurology to solve basic technological problems of

Unique effects of apathy and depression signs on cognition and Research Paper

Unique effects of apathy and depression signs on cognition and function in amnestic mild cognitive impairment - Research Paper Example According to Zahodne & Tremont (2013), apathy and depression are distinct signs in amnestic MCI and for different patients the two are associated with specific executive functions. For mental health nurses, the distinction of apathy and depression relative to the presented differential frontal lobes neuropathology patterns and the affected functions are crucial in planning and delivery appropriate care. Zahodne & Tremont (2013), present the current diagnostic criteria as indicating that about 43% and 20% patients meet apathy and major depression criteria correspondingly with and without baseline dementia. Through a multiple regression framework, apathy and depression linked to specific cognitive abilities and functional status as presented in a sample of 90 elderly persons (with mean age 75.8 years) highly vulnerable to Dementia following amnestic MCI. For all participants, clinical assessments presented unbiased memory impairment and exclusion criteria of comorbid neurological illnesses, brain trauma history, and medical problems like cancer, and severe psychiatric disturbance (Zahodne & Tremont, 2013). The independent variables were apathy, depression, education, and age, while the dependent variables were unprocessed scores on individual tests. The result linked depression to inferior exclusive functioning and was independent of age, apathy, and education. Conversely, apathy pre sented intricacies in Instrumental Activities of Daily Living or IADL and did not link to age, depression, or education. These findings proved that apathy and depression distinctively associate with varying elements of executive functioning in amnestic MCI. For a mental health nurse, this information fundamentally contributes to the formulation of interventions aimed at fostering health, assessing dysfunction, and helping patients in regaining their coping abilities (Daniel, et al., 2014). Further, the nurse