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Silicon drift chamber studies for possible use at RHIC. Final report, March 1, 1989--April 30, 1993
No full textThis is the final report for the DOE project ``Silicon Drift-Chamber studies for Possible use at RHIC`` carried out at the University of Pittsburgh by T. J. Humanic. This study was carried out during the period March 1989--April 1993 under DOE Grant No. DE-FG02-89ER40503. The termination of this grant was caused by the movement of the principal investigator from the University of Pittsburgh to Ohio State University, where this work is continuing under a different grant. During this period we investigated various aspects of silicon drift chambers including two-track resolution, effects of external magnetic fields and different detector designs
Dataset on humanic clues and customer loyalty in selected hospitals in Lagos State, Nigeria
No full textThis article describes survey result on humanic clues and customer loyalty in selected hospitals in Lagos State,Nigeria. This paper obtains information from the customer experience management strategy in considering the techniques in which customer loyalty can be built.365
copies of questionnaires were retrieved from the customers of the selected four private hospitals in Lagos State. The data gathered from the survey customers were subjected to inferential and descriptive statistics in order to as certain the sum,mean,standard deviation and the relative importance index(RII).The retrieved copies of questionnaires were analysed utilising SPSS(22). Using the Categorical
Regression CATRE G analysis,the data article establish that humanic clues have positive influence on customer loyalty. The data collected is openly presented to enhance further analysi
Customer Experience Management: A Study of Mechanic versus Humanic Clues and Student Loyalty in Nigerian Higher Education Institution
No full textThis study surveyed customer experience management (CEM) and student’s loyalty in higher education institution (HEI) sector using a private university in Ogun State, Nigeria as a case study. The primary intent of this study was to determine the roles of humanic and mechanic clues on student’s loyalty. The two hypotheses formulated to address the research questions and objectives raised in this study were analysed with Categorical Regression, which is also known as CATREG analysis. This study applied survey research design and the data were spawned via designed questionnaire. An overall of 215 copies of the questionnaires were regained from the student of the private university in Ogun State. Multi-stage sampling methods were engaged in this study. The research findings of this study show that mechanic clues significantly influence students’ retention, while humanic clues significantly influence students’ disposition to endorse the institution of higher education to others. As part of the recommendations of the study, it was suggested that the university management should deliberately focus on mechanic clues in terms of providing a conducive environment, especially one that is clean for its students at all times
Mini black holes at the LHC : discovery through di-jet suppression, mono-jet emission and a supersonic boom in the quark-gluon plasma in ALICE, ATLAS and CMS
No full textWe examine experimental signatures of TeV-mass black hole formation in heavy ion collisions at the LHC. We find that the black hole production results in a complete disappearance of all very high p_T (> 500 GeV) back-to-back correlated di-jets of total mass M > M_f ~ 1 TeV. We show that the subsequent Hawking-decay produces multiple hard mono-jets and discuss their detection. We study the possibility of cold black hole remnant (BHR) formation of mass ~ M_f and the experimental distinguishability of scenarios with BHRs and those with complete black hole decay. Finally we point out that a Heckler-Kapusta-Hawking plasma may form from the emitted mono-jets. In this context we present new simulation data of Mach shocks and of the evolution of initial conditions until the freeze-out
Probe station for testing of ALICE silicon drift detectors
No full textLarge area, 7.25 cm multiplied by 8.76 cm silicon drift detectors have been developed and are in production for the ALICE experiment at LHC. An active area of the detector of more than 50 cm**2 imposes high demands on the quality of processing and raw material. Automated testing procedures have been developed to test detectors before mounting them on the ladders. Probe stations for ALICE SDD testing were designed and built at INFN, Trieste and Ohio State University (OSU). Testing procedures, detector selection criteria and some details of the OSU probe station design are discussed
Double particle resolution measured in a silicon drift chamber
No full textThe two-hit resolution of a silicon drift chamber is measured using a pulsed Nd: YAG laser and a time digitizer readout. The data is analyzed by forming the covariance matrix in time samples, and transforming to a matrix in amplitude and time variation of each of the two hits. The resolution on the two-hit separation is found to be better than 25 μm with a drift field of 530 V/cm and a separation of more than 500 μm, with the resolution increasing to 50 μm as the separation nears 500 μ. Results are also presented for multiply ionizing tracks, showing a great improvement over single minimum ionizin
Hadronic observables from Au+Au collisions at √s_NN=200 GeV and Pb+Pb collisions at √s_NN=5.5 TeV from a simple kinematic model
No full textA simple kinematic model based on superposition of p+p collisions, relativistic geometry, and final-state hadronic rescattering is used to calculate various hadronic observables in √s_NN=200 GeV Au+Au collisions and √s_NN=5.5 TeV Pb+Pb collisions. The model calculations are compared with experimental results from several √s_NN=200 GeV Au+Au collision studies. If a short hadronization time is assumed in the model, this model describes the trends of the observables from these experiments surprisingly well considering the model's simplicity. This also gives more credibility to the model predictions presented for √s_NN=5.5 TeV Pb+Pb collisions
Constraining a simple hadronization model of relativistic heavy-ion collisions using hadronic observables
No full text
Building Customer Loyalty: A customer experience based approach in a tourism context
No full textIn light of the challenges facing the Irish tourism industry, Fáilte Ireland (TPDS report) emphasises that the future success of tourism enterprises relies upon delivering a ‘unique and complete holiday experience’. In addition, it has recognised that the underpinning critical success for the tourism industry is building customer loyalty through the creation of the total customer experience. A review of the literature indicates a general consensus that quality, value and satisfaction are major determinants of customer loyalty. However, while much is known about the relationship between the aforementioned variables and customer loyalty, these variables do not fully explain how customer loyalty is built. Therefore, this research study seeks to reduce the existing gap in extant knowledge by identifying and examining a new determinant of customer loyalty – the customer experience. The overarching objective of this thesis was to examine the relationship between customer experience and customer loyalty. Indeed, both customer relationship management (CRM) and brand literature indicate that loyalty-building is found in the customer’s experience with the product/service, hence it is perceived that a fundamental key to building customer loyalty is the successful management of each individual customer’s experience. The customer experience has been defined as involving three components: functional clues, humanic clues, and mechanic clues. Each one of these clue sets have been investigated individually in relation to their impact on loyalty. Based on the literature, the relationship between customer experience and loyalty in this study has been hypothesised to
H1. There is a direct relationship between functional clues and loyalty.
H2. The relationship between functional clues and loyalty is mediated by the variables - value and quality.
H3. There is a direct relationship between mechanic clues and loyalty.
H4. The relationship between mechanic clues and loyalty is mediated by value and quality.
H5. There is a direct relationship between humanic clues and loyalty.
H6. The relationship between humanic clues and loyalty is mediated by value and quality.
The study utilised two phases of data collection – an initial qualitative phase followed by a second phase involving a quantitative methodology. The study collected data from both sides of a dyad: key informants from the hotel industry and the hotels’ customers. The study involved assessing three and four star hotels in the cities of Waterford, Wexford and Kilkenny in the South East region of Ireland. The data was analysed using Nvivo (N7) and the Statistical Package for Social Science (SPSS V.15).
The qualitative phase of the study involved in depth interviews with hotel key respondents. This provided the necessary information to create a detailed blueprint of the customer hotel experience based on four critical stages and on each of the experience clues – functional, mechanic and humanic. Indeed, this was a major outcome of the qualitative phase and informed the development of the customer survey in the second quantitative phase. The quantitative phase revealed that the relationship between the functional and mechanic clue sets and loyalty is totally mediated by the value and quality variables. The relationship between the humanic clue set and loyalty was both direct and indirect; the indirect relationship was mediated through value and quality.
Due to the lack of research and interest in this area, this study not only contributes substantially to extant academic knowledge, but also makes a significant contribution to tourism practice. Ultimately it bridges the knowledge gap by conceptualising customer loyalty through identifying a number of key determinants. Hence, a major theoretical contribution of this thesis is the fact that it both synthesises and builds on extant efforts to conceptualise and build loyalty. The main practical implication is that it provides best practice guidelines for building customer loyalty through the customer experience. Indeed, for destination managers it highlights the importance of focusing on each of the experience clues - functional, mechanic and humanic - in order to create the total customer experience, a key determinant in building customer loyalty. Furthermore, this study also offers a methodological contribution of data collection in the form of blueprinting – a critical technique in illustrating the customer experience process. While this technique has been in existence for the last twenty years, it has not commonly utilised. Therefore, this study offers a guideline for future researchers in terms of this data collection technique
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