1,363,953 research outputs found
A survey of epistemology and its implications on an organisational information and knowledge management model
No full textThis is a theoretical paper which aims to integrate various epistemologies from the philosophical, knowledge management, cognitive science, and educational perspectives. From a survey of knowledge-related literature, we have collated diverse views of knowledge. This is followed by categorising as well as ascribing attributes to the different types of knowledge. We have developed a novel Organisational Information and Knowledge Management Model which seeks to clarify the distinctions between information and knowledge by introducing a novel information and knowledge conversions; followed by providing mechanisms for individual knowledge creation and information sharing within an organisation
A Hybrid Reasoning Model for “Whole and Part” Cardinal Direction Relations
No full textWe have shown how the nine tiles in the projection-based model for cardinal directions can be partitioned into sets based on horizontal and vertical constraints (called Horizontal and Vertical Constraints Model) in our previous papers (Kor and Bennett, 2003 and 2010). In order to come up with an expressive hybrid model for direction relations between two-dimensional single-piece regions (without holes), we integrate the well-known RCC-8 model with the above-mentioned model. From this expressive hybrid model, we derive 8 basic binary relations and 13 feasible as well as jointly exhaustive relations for the x- and y-directions, respectively. Based on these basic binary relations, we derive two separate composition tables for both the expressive and weak direction relations. We introduce a formula that can be used for the computation of the composition of expressive and weak direction relations between “whole or part” regions. Lastly, we also show how the expressive hybrid model can be used to make several existential inferences that are not possible for existing models
Advanced data analytics modeling for evidence-based data center energy management
No full textOver the past few decades, the demand for Data Center (DC) services has significantly increased due to the world's growing need for internet access, social networking, and data storage. Data Centers are among the most energy-intensive businesses, so optimizing IT operations in DC requires energy-efficient techniques. This paper presents AI based modeling strategies for effective energy management with a particular emphasis on DC's two most energy intensive systems (i.e., cooling and IT systems). This study addresses the issues of IT equipment performance degradation, inappropriate IT room thermal conditions, inefficient workload placement, and excessive energy waste. This research entails the application of machine learning for DC thermal classification, and deployment of deep learning models to predict resource utilization and energy consumption in DC. Furthermore, a comparative analysis is performed with existing relevant methods to demonstrate the effectiveness and accuracy of the proposed AI techniques. The findings of this study also provide evidence-based recommendations for DC efficient energy management
Lectin activates phopsholipase C via tyrosine phosphorylation of PLC-v1 in a human T cell
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Direct cDNA cloning of a monoclonal antibody to chrcinoembryonic antigen using RT-PCR technique
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Kor suksis UNIMAS Portal
No full textThe aim of this Final Year Project is to develop a portal and system for Kor SUKSIS UNIMAS.
The portal is meant for the officers to manage Kor SUKSIS by broadcasting relevant and up to date
information to Kor SUKSIS members from various faculties in UNIMAS. On the other hand the
system will be used to maintain and upkeep record of student's continuous assessments and display
or print the results when needed. In this project, the author has highlighted on the comparison study
of the similar existing systems and has consider the enhancement for Kor SUKSIS UNIMAS Portal
in order to provide a more efficient and user friendly web portal. The proposed solution is to
develop two systems which are Kor SUKSIS UNIMAS Portal, use of the officer site and the System
is used to record the every member exam result based on each module. This final year project
highlight on the comparison of several similar existing systems, requirement analysis and design
as well as implementation of the proposed system
O6C-20-nor-SalA is a stable and potent KOR agonist
No full textSalvinorin A (SalA) is a potent and selective agonist of the kappa-opioid receptor (KOR), but its instability has frustrated medicinal chemistry efforts. Treatment of SalA with weak bases like DBU leads to C8 epimerization with loss of receptor affinity and signaling potency. Here we show that replacement of C20 with H and replacement of O6 with CH2 stabilizes the SalA scaffold relative to its C8 epimer, so much so that epimerization is completely suppressed. This new compound, O6C-20-nor-SalA, retains high potency for agonism of KOR. <br /
Difelikefalin, A Peripherally Restricted Kor (kappa Opioid Receptor) Agonist, Produces Diuresis Through A Central Kor Pathway
No full textDifelikefalin is a peripherally restricted kappa opioid receptor (KOR) agonist that was recently approved by the FDA to treat pruritis in dialysis patients. Here, we investigated the cardiovascular and renal responses to difelikefalin, and using the KOR antagonist norbinaltorphimine (norBNI), examined whether any difelikefalin-induced changes in the renal excretion of water and/or electrolytes were mediated through a central or peripheral KOR pathway. The effects of norBNI pretreatment on nalfurafine, a KOR agonist that crosses the blood-brain barrier, were also examined. We hypothesized that difelikefalin would alter urine output differently than nalfurafine, given that KOR agonists produce diuresis via activating central KORs to inhibit vasopressin release. Following catheterization, conscious Sprague-Dawley rats were infused i.v. with isotonic saline and pretreated with norBNI centrally via an intracerebroventricular (ICV) cannula or peripherally via an intravenous catheter. After stabilization, difelikefalin or nalfurafine was administered i.v. and urine output, heart rate and mean arterial pressure (MAP) were recorded for 90 min. Difelikefalin produced a significant increase in urine output, and significant decrease in urinary sodium and potassium excretion, urine osmolality, and MAP. ICV norBNI pretreatment markedly attenuated the increase in urine output caused by difelikefalin and nalfurafine but did not inhibit the electrolyte effects. However, IV norBNI pretreatment prevented all responses to difelikefalin and nalfurafine. Together, these findings demonstrate that difelikefalin and nalfurafine utilize central KOR pathways to elicit diuresis and a decrease in MAP but enhance renal tubular electrolyte reabsorption through a peripheral KOR pathway, providing important insight into two clinically useful KOR agonists
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