156 research outputs found
Service quality management and customer satisfaction in higher education: quality of services, customer satisfaction and customer behavioural intention in higher education
For the purpose of this project, a modified SERVQUAL instrument has been used to investigate undergraduate student perception of service quality at Cyprus College by
determining if gaps existed in student expectation versus the perception of the actual experiences. The researcher acquired answers for five research questions designed to determine the relationship between service quality, student satisfaction, student behavioural intention, and certain demographic variables (gender, nationality, and number of years at the college).
The population consisted of 1,398 students, which represented the fall 2006 semester enrolment. A cluster sampling methodology was used for the selection of 434
respondents. The researcher has tested the reliability and internal consistency of the survey instrument and it was found to be reliable and have adequate internal consistency. The Cronbach's total alpha was .919.
Each research question was analysed individually usmg descriptive data for expectation, perceptions, and gap scores. The results of the survey indicated that there was a wide gap between student's perceived performance and expectations in twenty out of the twenty-two measured items. The most problematic dimension appears to be the Empathy and the least problematic the Tangible dimension. The researcher found that gender, nationality and number of years at Cyprus College are of a little value in predicting student's evaluation of service quality. There were, however, statistical and practical significance found in the ANOV As for each dependent variable. In addition, the researcher has found that respondents, who stated that overall the quality of service is good or very good, appeared to be satisfied or very satisfied with Cyprus College. The same group of respondents appeared also to be more willing than the rest of the respondents to say positive things about the college and less willing to complain if they experience a problem. The findings were discussed among the academic and administration leaders of the college and a set of actions were decided and some have been implemented including service related procedural changes, employee motivation and training, and the establishment of a system of continuous assessment. The results that emerged from the study and the discussions can be useful for other institutions which are concerned
about their own quality practices
Cooperative constrained control of distributed agents with nonlinear dynamics and delayed information exchange: A stabilizing receding-horizon approach
This paper addresses the problem of cooperative control of a team of distributed agents with decoupled nonlinear discrete-time dynamics, which operate in a common environment and exchange-delayed information between them. Each agent is assumed to evolve in discrete-time, based on locally computed control laws, which are computed by exchanging delayed state information with a subset of neighboring agents. The cooperative control problem is formulated in a receding-horizon framework, where the control laws depend on the local state variables (feedback action) and on delayed information gathered from cooperating neighboring agents (feedforward action). A rigorous stability analysis exploiting the input-to-state stability properties of the receding-horizon local control laws is carried out. The stability of the team of agents is then proved by utilizing small-gain theorem results
Neural Adaptive Control of a Robot Joint Using Secondary Encoders
Using industrial robots for machining applications in flexible manufacturing
processes lacks a high accuracy. The main reason for the deviation is the
flexibility of the gearbox. Secondary Encoders (SE) as an additional, high precision
angle sensor offer a huge potential of detecting gearbox deviations. This paper
aims to use SE to reduce gearbox compliances with a feed forward, adaptive
neural control. The control network is trained with a second network for system
identification. The presented algorithm is capable of online application and optimizes
the robot accuracy in a nonlinear simulation
Overcoming the blood-brain barrier : functionalised chitosan nanocarriers
The major impediment to the delivery of therapeutics to the brain is the presence of the blood-brain barrier (BBB). The BBB allows for the entrance of essential nutrients while excluding harmful substances, including most therapeutic agents; hence, brain disorders, especially tumours, are very difficult to treat. Chitosan is a well-researched polymer that offers advantageous biological and chemical properties, such as mucoadhesion and the ease of functionalisation. Chitosan-based nanocarriers (CsNCs) establish ionic interactions with the endothelial cells, facilitating the crossing of drugs through the BBB by adsorptive mediated transcytosis. This process is further enhanced by modifications of the structure of chitosan, owing to the presence of reactive amino and hydroxyl groups. Finally, by permanently binding ligands or molecules, such as antibodies or lipids, CsNCs have showed a boosted passage through the BBB, in both in vivo and in vitro studies which will be discussed in this review
Advances in chitosan-based CRISPR/Cas9 delivery systems
Clustered regularly interspaced short palindromic repeat (CRISPR) and the associated Cas endonuclease (Cas9) is a cutting-edge genome-editing technology that specifically targets DNA sequences by using short RNA molecules, helping the endonuclease Cas9 in the repairing of genes responsible for genetic diseases. However, the main issue regarding the application of this technique is the development of an efficient CRISPR/Cas9 delivery system. The consensus relies on the use of non-viral delivery systems represented by nanoparticles (NPs). Chitosan is a safe biopolymer widely used in the generation of NPs for several biomedical applications, especially gene delivery. Indeed, it shows several advantages in the context of gene delivery systems, for instance, the presence of positively charged amino groups on its backbone can establish electrostatic interactions with the negatively charged nucleic acid forming stable nanocomplexes. However, its main limitations include poor solubility in physiological pH and limited buffering ability, which can be overcome by functionalising its chemical structure. This review offers a critical analysis of the different approaches for the generation of chitosan-based CRISPR/Cas9 delivery systems and suggestions for future developments
Biomedical and pharmacological uses of fluorescein isothiocyanate chitosan-based nanocarriers
Chitosan-based nanocarriers (ChNCs) are considered suitable drug carriers due to their ability to encapsulate a variety of drugs and cross biological barriers to deliver the cargo to their target site. Fluorescein isothiocyanate-labeled chitosan-based NCs (FITC@ChNCs) are used extensively in biomedical and pharmacological applications. The main advantage of using FITC@ChNCs consists of the ability to track their fate both intra and extracellularly. This journey is strictly dependent on the physico-chemical properties of the carrier and the cell types under investigation. Other applications make use of fluorescent ChNCs in cell labeling for the detection of disorders in vivo and controlling of living cells in situ. This review describes the use of FITC@ChNCs in the various applications with a focus on understanding their usefulness in labeled drug-delivery system
Fluorescein isothiocyanate chitosan nanoparticles in oral drug delivery studies
Oral administration of drugs is one of the most patient-friendly drug delivery routes. However, drug bioavailability via the oral route remains poor due to the harsh gastrointestinal environment. In recent years, many nanocarriers have been designed to overcome this limitation. Among those, chitosan nanoparticles (ChNPs) have proved to be a quite popular choice. Here, we highlight the use of fluorescein isothiocyanate–tagged ChNPs as an invaluable tool to monitor the fate of ChNPs encapsulating oral drugs, leading to an in-depth understanding of drug biodistribution and, in turn, shedding light on ways to improve bioavailability
A multifractal approach to space-filling recovery for PET quantification.
Purpose: A new image-based methodology is developed for estimating the apparent space-filling properties of an object of interest in PET imaging without need for a robust segmentation step and used to recover accurate estimates of total lesion activity (TLA). Methods: A multifractal approach and the fractal dimension are proposed to recover the apparent space-filling index of a lesion (tumor volume, TV) embedded in nonzero background. A practical implementation is proposed, and the index is subsequently used with mean standardized uptake value (SUVmean) to correct TLA estimates obtained from approximate lesion contours. The methodology is illustrated on fractal and synthetic objects contaminated by partial volume effects (PVEs), validated on realistic 18F-fluorodeoxyglucose PET simulations and tested for its robustness using a clinical 18F-fluorothymidine PET test-retest dataset. Results: TLA estimates were stable for a range of resolutions typical in PET oncology (4-6 mm). By contrast, the space-filling index and intensity estimates were resolution dependent. TLA was generally recovered within 15% of ground truth on postfiltered PET images affected by PVEs. Volumes were recovered within 15% variability in the repeatability study. Results indicated that TLA is a more robust index than other traditional metrics such as SUVmean or TV measurements across imaging protocols. Conclusions: The fractal procedure reported here is proposed as a simple and effective computational alternative to existing methodologies which require the incorporation of image preprocessing steps (i.e., partial volume correction and automatic segmentation) prior to quantification
Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault tolerant control
Power maximization has always been a practical consideration in wind turbines. The question of how to address optimal power capture, especially when the system dynamics are nonlinear and the actuators are subject to unknown faults, is significant. This paper studies the control methodology for variable-speed variable-pitch wind turbines including the effects of uncertain nonlinear dynamics, system fault uncertainties, and unknown external disturbances. The nonlinear model of the wind turbine is presented, and the problem of maximizing extracted energy is formulated by designing the optimal desired states. With the known system, a model-based nonlinear controller is designed; then, to handle uncertainties, the unknown nonlinearities of the wind turbine are estimated by utilizing radial basis function neural networks. The adaptive neural fault tolerant control is designed passively to be robust on model uncertainties, disturbances including wind speed and model noises, and completely unknown actuator faults including generator torque and pitch actuator torque. The Lyapunov direct method is employed to prove that the closed-loop system is uniformly bounded. Simulation studies are performed to verify the effectiveness of the proposed method
Metabolites of cannabis induce cardiac toxicity and morphological alterations in cardiac myocytes
Cannabis is one of the most commonly used recreational drugs worldwide. Rrecent epidemiology studies have linked increased cardiac complications to cannabis use. However, this literature is predominantly based on case incidents and post-mortem investigations. This study elucidates the molecular mechanism of Δ9-tetrahydrocannabinol (THC), and its primary metabolites 11-Hydroxy-Δ9-THC (THC-OH) and 11-nor-9-carboxy-Δ⁹-tetrahydrocannabinol (THC-COOH). Treatment of cardiac myocytes with THC-OH and THC-COOH increased cell migration and proliferation (p < 0.05), with no effect on cell adhesion, with higher doses (250–100 ng/mL) resulting in increased cell death and significant deterioration in cellular architecture. Conversely, no changes in cell morphology or viability were observed in response to THC. Expression of key ECM proteins α-SMA and collagen were up-regulated in response to THC-OH and THC-COOH treatments with concomitant modulation of PI3K and MAPK signalling. Investigations in the planarian animal model Polycelis nigra demonstrated that treatments with cannabinoid metabolites resulted in increased protein deposition at transection sites while higher doses resulted in significant lethality and decline in regeneration. These results highlight that the key metabolites of cannabis elicit toxic effects independent of the parent and psychoactive compound, with implications for cardiotoxicity relating to hypertrophy and fibrogenesis
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