Definition of the response time of ion-selective electrodes and potentiometric cells

1984 ◽  
Vol 56 (4) ◽  
pp. 808-810 ◽  
Author(s):  
Erno. Lindner ◽  
Klara. Toth ◽  
Erno. Pungor
Keyword(s):  
Response Time ◽  
Ion Selective Electrodes ◽  
Definition Of

scholarly journals Quality Is in the Eye of the Beholder—A Focus Group Study from the Perspective of Ambulance Clinicians, Physicians, and Managers

Healthcare ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 41 ◽  
Author(s):  
Andreas Rantala ◽  
Lina Behm ◽  
Helena Rosén
Keyword(s):  
Focus Group ◽  
Response Time ◽  
Paradigm Shift ◽  
Patient Involvement ◽  
Ambulance Service ◽  
Group Method ◽  
Focus Group Study ◽  
Definition Of ◽  
Patients Experience ◽  
Focus Group Method

Quality within all areas of healthcare should be systemically monitored and ensured. However, the definition of quality is complex and diverse. In the ambulance service (AS), quality has traditionally been defined as response time, but this measurement eliminates the possibility of addressing other characteristics of quality, such as the care provided. This study aimed to explore what constitutes quality in the context of the ambulance service as experienced by ambulance clinicians, physicians, and managers. A focus group study was conducted with 18 participants. The three focus groups were analyzed with the focus group method developed by Kreuger and Casey. The participants highlighted patient involvement, information and care, as well as adherence to policies, regulations, and their own standards as representing quality in the AS. This study demonstrates that quality is in the eye of the beholder. As quality seems to be viewed similarly by patients and ambulance clinicians, physicians, and managers, stakeholders should aim for a paradigm shift where patients’ experience of the care is just as important as various time measures.

Response time of ion-selective electrodes

2004 ◽  
Vol 512 (2) ◽  
pp. 183-190 ◽  
Author(s):  
Carlo Maccà
Keyword(s):  
Response Time ◽  
Ion Selective Electrodes

Definition and determination of response time of ion selective electrodes

1986 ◽  
Vol 58 (3) ◽  
pp. 469-479 ◽  
Author(s):  
E. Lindner ◽  
K. Tóth ◽  
E. Pungor
Keyword(s):  
Response Time ◽  
Ion Selective Electrodes

Toward a Definition of the Difficulty of a Personality Item

1973 ◽  
Vol 33 (1) ◽  
pp. 159-166 ◽  
Author(s):  
T. B. Rogers
Keyword(s):  
Response Time ◽  
Item Response ◽  
Item Difficulty ◽  
Data Matrix ◽  
Response Variance ◽  
Original Item ◽  
Personality Item ◽  
Definition Of ◽  
Item Statistic ◽  
Statistic Approach

Convergence among several indices of personality-item difficulty was assessed. Controversiality, item response variance, response time, and difficulty ratings showed consistent convergence, while ambiguity did not. Variance analyses indicated that the usual item-statistic approach (collapsing over Ss) results in the loss of considerable variance from the original item X persons data matrix.

scholarly journals A Generic Methodology for Calculating Rescheduling Time for Multiple Unexpected Events in the Era of Zero Defect Manufacturing

2021 ◽  
Vol 7 ◽  
Author(s):  
Foivos Psarommatis ◽  
Giacomo Martiriggiano ◽  
Xiaochen Zheng ◽  
Dimitris Kiritsis
Keyword(s):  
Response Time ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Dynamic Environment ◽  
Manufacturing Companies ◽  
Event Management ◽  
Unexpected Events ◽  
Management Algorithm ◽  
Definition Of

Nowadays, the manufacturing industry is constantly changing. Production systems must operate in a highly dynamic environment where unexpected events could occur and create disruption, making rescheduling inevitable for manufacturing companies. Rescheduling models are fundamental to the robustness of production processes. This paper proposes a model to address rescheduling caused by unexpected events, aiming to achieve the zero-defect manufacturing (ZDM) concept. The goal of the model is to incorporate traditional and ZDM–oriented events into one methodology to calculate when the next rescheduling will be performed to effectively react to unexpected events. The methodology relies on the definition of two key time parameters for each event type: event response time (RT) and event delay response time (DRT). Based on these parameters, an event management algorithm is designed to identify the optimal rescheduling solution. The DRT parameter is calculated based on a multi-parametric dynamic formula to capture the dynamics of production. Moreover, ANOM, and ANOVA methods are used to analyse the behaviour of the developed method and to assess the level of robustness of the proposed approach. Finally, a case study based on real production scenarios is conducted, a series of simulation experiments are performed, and comparisons with other rescheduling policies are presented. The results demonstrate the effectiveness of the proposed event management algorithm for managing rescheduling.

The Effects of Doping on the Selectivity and Response Time of Fluoride Ion-Selective Electrodes

1996 ◽  
Vol 49 (8) ◽  
pp. 897 ◽  
Author(s):  
XD Wang ◽  
W Shen ◽  
RW Cattrall ◽  
GL Nyberg ◽  
J Liesegang
Keyword(s):  
Response Time ◽  
Single Crystals ◽  
Divalent Cations ◽  
Mixed Crystals ◽  
Fluoride Ion ◽  
Ion Selective Electrodes ◽  
Bulk Conductivity ◽  
Hydroxide Ion ◽  
Frenkel Defects ◽  
Effect Of Doping

We report the effect of doping on the response time and hydroxide ion interference of fluoride ion-selective electrodes made by using membranes consisting of single crystals of CeF3, LaF3 and NdF3, both undoped and doped with divalent cations , and of mixed crystals of neodymium and samarium fluorides (Nd0.95Sm0.05F3 and Nd0.86Sm0.14F3). Doping not only increases the bulk conductivity of the membrane, but also reduces both the response time and the hydroxide ion interference of the electrode. This behaviour is due to an increase in the number of Frenkel defects in the crystal membrane, an effect which increases the mobility of the fluoride ion. It has also been established that doped single crystals of either LaF3 or NdF3 offer the best performance in terms of selectivity.

ChemInform Abstract: The Effects of Doping on the Selectivity and Response Time of Fluoride Ion-Selective Electrodes.

ChemInform ◽  
2010 ◽  
Vol 28 (4) ◽  
pp. no-no
Author(s):  
X. D. WANG ◽  
W. SHEN ◽  
R. W. CATTRALL ◽  
G. L. NYBERG ◽  
J. LIESEGANG
Keyword(s):  
Response Time ◽  
Fluoride Ion ◽  
Ion Selective Electrodes

scholarly journals Reference Time of Concentration Estimation for Ungauged Catchments

2018 ◽  
Vol 7 (2) ◽  
pp. 58 ◽  
Author(s):  
John Perdikaris ◽  
Bahram Gharabaghi ◽  
Ramesh Rudra
Keyword(s):  
Response Time ◽  
Discharge Rate ◽  
Accurate Method ◽  
Roughness Coefficient ◽  
Empirical Equations ◽  
Ungauged Catchments ◽  
Time Of Concentration ◽  
Practical Procedure ◽  
Concentration Estimation ◽  
Definition Of

Accurate modelling of flood flow hydrographs in ungauged catchments is a challenging task due to large errors in the estimation of its response time using existing empirical equations. The time of concentration (Tc) is a key catchment response time parameter needed for forecasting of the peak discharge rate and the timing of the flood event. At least eight different definitions have been presented in the literature for the time of concentration. In this study, a new definition of “Reference Tc” is presented along with a practical procedure for its estimation using readily available basin catchment characteristic parameters with the aim of standardizing this key parameter for practitioners. Nine different empirical models were calibrated and tested on nine catchments of the Credit River watershed, Ontario, Canada to determine which method would provide the most accurate prediction of the Reference Tc. The NRCS velocity method (1986) proved once again to be the most reliable and an accurate method. This study shows that the main reason for the higher accuracy of the NRCS velocity method predictions compared to the empirical equations is attributed to the inclusion of the Manning's roughness coefficient.

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