Abstract: The current healthcare model is mostly in-hospital based and consists of periodic visits. Nowadays, chronic heart failure (CHF) affects an ever-growing segment of population, and it is among the major causes of hospitalization for elderly citizens. The actual out-of hospital treatment model, based on periodic visits, has a low capability to detect signs of destabilization and leads to a high re-hospitalization rate. To this aim, in this paper, a complete and integrated Information and Communication Technology system is described enabling the CHF patients to daily collect vital signs at home and automatically send them to the Hospital Information System, allowing the physicians to monitor their patients at distance and take timely actions in case of necessity. A minimum set of vital parameters has been identified, consisting of electrocardiogram, SpO2, blood pressure, and weight, measured through a pool of wireless, non-invasive biomedical sensors. A multi-channel front-end IC for cardiac sensor interfacing has been also developed. Sensor data acquisition and signal processing are in charge of an additional device, the home gateway. All signals are processed upon acquisition in order to assert if both punctual values and extracted trends lay in a safety zone established by thresholds. Per-patient personalized thresholds, required measurements and transmission policy are allowed. As proved by first medical tests, the proposed telemedicine platform represents a valid support to early detect the alterations in vital signs that precede the acute syndromes, allowing early home interventions thus reducing the number of subsequent hospitalizations.
Keywords: Biomedical instrumentation, chronic heart failure, e-health, sensor signal processing, tele-monitoring, vital signs sensors.
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Abstract: Due to the rapid expansion in banks and the severe competition for customers’ retention, banks have started using various marketing strategies to achieve their objectives. Customer Relationship Marketing is one of the marketing strategies that may be used in this respect. The study aims to investigate the impact of Customer Relationship Marketing on Customer Satisfaction in Banking Industry in KSA and Jordan. An e-mail questionnaire was designed and sent to 500 hundred customers of Arab Bank in KSA and Jordan, creating two sample pools of respondents. A total of 151 of the collected questionnaires were valid. The study findings show medium to high degrees of positive attributes of the two samples toward Customer Relationship Marketing dimensions (trust, commitment, communication, empathy, social bonding and fulfilling promises) on customer satisfaction. The findings also indicate different attitudes regarding the importance of Customer Relationship Marketing dimension between the two samples. The findings also indicate different results regarding the impact of Customer Relationship Marketing on customer’s satisfaction due to gender, age and educational level. Ultimately, the study suggested that Arab bank, whether in the study’s two selected countries, or in other countries where it has branches and operates from, should apply Customer Relationship Marketing in order to maintain its market share in the market..
Keywords: Customer Relationship, Customer Satisfaction, Bank Services .
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Abstract: The present research aims to assess the effect of increasing the thickness of a secondary catalyst layer for N2O emission reduction at a nitric acid plant in Devnya, Bulgaria upon the ambient air quality. A mathematical modeling is done for simulating the dispersion of N2O emissions from the plant into the ground atmospheric layer taking into account the specific topographic and meteorological conditions of the region. Separate graphic models are done illustrating the dispersion of N2O emissions at two main scenarios – at current thickness of the secondary catalyst layer of 60 mm and at future increase of the catalyst layer thickness to 90 mm. Modeling results indicate that under equivalent meteorological conditions the planned increase of the secondary catalyst layer thickness leads to 69 % reduction of the annual average N2O concentration in the atmosphere. Maximum N2O concentrations over specific periods of time (1 hour, 8 hours and 24 hours) are also reduced over 3 times within the outlines of the exposed areas. Research results provide prognosis on the impact of the increased thickness of the secondary catalyst layer as a measure for N2O emission reduction upon the ambient air quality of the source region. Prognosis modeling provides a tool for assessing the contribution of N2O emissions from nitric acid production to the overall greenhouse gas emissions in long-term future periods regarding the implementation of quantitative commitments under the Kyoto Protocol.
Keywords: ambient air quality, greenhouse gas emissions, nitrous oxide, prognosis air dispersion modeling, secondary catalyst layer.
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