scholarly journals Quality Control in the Subtitling Industry: An Exploratory Survey Study

2017 ◽  
Vol 61 (3) ◽  
pp. 578-605 ◽  
Author(s):  
Isabelle S. Robert ◽  
Aline Remael
Keyword(s):  
Quality Control ◽  
Relevant Literature ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Survey Study ◽  
European Standard ◽  
European Committee ◽  
Translation Practice ◽  
Exploratory Survey ◽  
Translation Services

Quality assurance (QA) and quality control (QC) are central to translation practice and research today, as is translation revision, which, today, is increasingly seen as an integral part of quality monitoring. Revision is also explicitly mentioned as a quality requirement in the European Standard for Translation Services EN 15 038, issued by the European Committee for Standardization (2006). Quality issues have also been a recurring topic at audiovisual translation (AVT) conferences, but in AVT, practice levels of QA and QC appear to be subject to fluctuations, and AVT research into QA and QC, including revision, is quite limited. This article will first clarify a number of terminological issues, discuss some of the relevant literature on translation and revision quality parameters and procedures, and report on a detailed survey conducted in 2013 on QA and QC practices in the subtitling industry.

scholarly journals MEDICATION SYSTEM: ANALYSIS OF ACTIONS TAKEN BY PROFESSIONALS IN PSYCHIATRIC UNITS

2016 ◽  
Vol 25 (4) ◽  
Author(s):  
Maristela Monteschi Souta ◽  
Paulo Celso Prado Telles Filho ◽  
Kelly Graziani Giacchero Vedana ◽  
Luiz Jorge Pedrão ◽  
Adriana Inocenti Miasso
Keyword(s):  
Medical Records ◽  
System Analysis ◽  
Psychiatric Hospitalization ◽  
Survey Study ◽  
Electronic Prescription ◽  
Cross Sectional ◽  
Exploratory Survey ◽  
Psychiatric Units ◽  
Pharmacy Data ◽  
Electronic Prescriptions

ABSTRACT This study analyzed the medication systems in psychiatric units of a general hospital and a psychiatric hospital in the state of São Paulo, Brazil. It is a quantitative and cross-sectional, exploratory survey study with 144 professionals from the areas of medication, nursing and pharmacy. Data were collected by direct, non-participative observation and by medical records review. Data were analyzed using descriptive statistics. Factors that affect patient safety, such as interruptions during prescription, handwritten changes to electronic prescriptions, limited handling of the electronic prescription system, unavailable clinical pharmacy, mistakes in activities related to the preparation and administration of medications and other factors were identified. The study reveals the susceptible points for the occurrence of medication errors in psychiatric hospitalization departments and discusses recommendations and technological resources that can promote security in the medication system.

Improving effectiveness of mitigation measures in EIA follow-up

2015 ◽  
Vol 26 (4) ◽  
pp. 518-537 ◽  
Author(s):  
Amarilis Lucia Casteli Figueiredo Gallardo ◽  
Caio Pompeu Cavalhieri ◽  
Sofia Julia Alves Macedo Campos ◽  
Omar Yazbek Bitar
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Quality Parameters ◽  
Mitigation Measures ◽  
Water Quality Control ◽  
Content Type ◽  
Study Approach ◽  
Phase Water

Purpose – The purpose of this paper is to investigate the effectiveness of mitigation measures adopted in a scheme of EIA follow-up by examining their performance in reducing geo-environmental impacts in earthwork activities during the Rodoanel southern section construction in São Paulo, Brazil. This environment is fragile in terms of affected watersheds because the highway crosses two important reservoirs that supply most of the metropolitan water demand. Therefore, this research also aims at promoting water quality control. Design/methodology/approach – This study combines complementary sources as evidences in the literature and field checks, tests and monitoring. The methodology was supported by criteria for evaluating the effectiveness of mitigation measures in the case study approach. Findings – The EIA follow-up activities contributed to the maintenance of environmental conditions in the majority of the control points at the end of the construction phase. Water quality parameters were not statistically different before and during the construction of the highway. The choice and arrangement of mitigation measures were successful in ensuring water quality control by avoiding siltation. Practical implications – A robust scheme for designing and evaluating mitigation measures contributes to the improvement of their effectiveness and is pivotal to the success of the EIA follow-up. Originality/value – This case study serves as an example for extending EIA follow-up practice in special to the improvement of the design and evaluation of mitigation measures in similar contexts.

scholarly journals ANALYZING THE EFFECT OF DENSITY VALUE DEVIATION ON PRINT QUALITY

KREATOR ◽  
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Soebardianto . ◽  
Septia Ardiani ◽  
Romi Setiawan
Keyword(s):  
Quality Control ◽  
Quality Parameters ◽  
Quality Level ◽  
Print Quality ◽  
Machine Material ◽  
Digital World ◽  
Quality Control Parameters ◽  
Density Values ◽  
Standard Density

The quality control activities, in particular the measurement of density values, are part of the quality control parameters carried out by each company. Companies sometimes forget about the quality parameters of the name, even though the quality can give the printed products a good guarantee in the eyes of consumers. To achieve the quality level, of course, the business does not stand idle, there are several things that need to be done or provided by the business to support the quality, namely man (human), machine (machine), material (material), and method (method). In the development of technology in an increasingly advanced digital world, companies want to continue to compete with a digital world by making inroads, this of course gives the products produced by the company a good or a good level of quality. In this discussion, there is an identification of problematic aspects arising from the deviation of density values as well as ways to obtain standard density values and factors that affect the quality of prints on book cover prints using a Heidelberg machine.Keywords—Quality Control, Density, Standart, Product, Deviation

scholarly journals Water monitoring and analytic based thingspeak

2020 ◽  
Vol 10 (4) ◽  
pp. 3588
Author(s):  
Abbas Hussien Miry ◽  
Gregor Alexander Aramice
Keyword(s):  
Water Quality ◽  
Normal Values ◽  
Water Quality Monitoring ◽  
Lag Time ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Proposed Model ◽  
Response To Water ◽  
Matlab Programming ◽  
The Internet Of Things

Diseases associated with bad water have largely reported cases annually leading to deaths, therefore the water quality monitoring become necessary to provide safe water. Traditional monitoring includes manual gathering of samples from different points on the distributed site, and then testing in laboratory. This procedure has proven that it is ineffective because it is laborious, lag time and lacks online results to enhance proactive response to water pollution. Emergence of the Internet of Things (IoT) and step towards the smart life poses the successful using of IoT. This paper presents a water quality monitoring using IoT based ThingSpeak platform that provides analytic tools and visualization using MATLAB programming. The proposed model is used to test water samples using sensor fusion technique such as TDS and Turbidity, and then uploading data online to ThingSpeak platform to monitor and analyze. The system notifies authorities when there are water quality parameters out of a predefined set of normal values. A warning will be notified to user by IFTTT protocol.

An Automatic System for Analyzing Phantom Images to Determine the Reliability of PET/SPECT Cameras

2015 ◽  
Author(s):  
Miri Weiss Cohen ◽  
John A. Kennedy ◽  
Archil Pirmisashvili ◽  
Gleb Orlikov
Keyword(s):  
Quality Control ◽  
Image Quality ◽  
Spatial Resolution ◽  
Automatic System ◽  
Quality Parameters ◽  
Tomographic Image ◽  
Performance Parameters ◽  
Pet Ct ◽  
Ct Scanners

This paper describes an automatic system for analyzing phantom images from two types of PET/CT scanners. The system was developed for the purpose of obtaining tomographic image quality parameters, which determine a number of different performance parameters, primarily scanner sensitivity, tomographic uniformity, contrast and spatial resolution. The system provides a method for generating and altering image masks used for the analysis of PET images, which are then automatically aligned with the PET data. The system automatically generates Quality Control (QC) reports and is currently being used at clinical PET/CT center.

scholarly journals Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Yashon O. Ouma ◽  
Clinton O. Okuku ◽  
Evalyne N. Njau
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Dissolved Oxygen ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Monitoring

The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability. The empirical, conceptual, and physical distributed models for the simulation of hydrological interactions may not adequately represent the nonlinear dynamics in the process of water quality prediction, especially in watersheds with scarce water quality monitoring networks. To overcome the lack of data in water quality monitoring and prediction, this paper presents an approach based on the feedforward neural network (FNN) model for the simulation and prediction of dissolved oxygen (DO) in the Nyando River basin in Kenya. To understand the influence of the contributing factors to the DO variations, the model considered the inputs from the available water quality parameters (WQPs) including discharge, electrical conductivity (EC), pH, turbidity, temperature, total phosphates (TPs), and total nitrates (TNs) as the basin land-use and land-cover (LULC) percentages. The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. In the model optimization, EC, TP, TN, pH, and temperature were most significant contributing water quality parameters with 85.5% in DO prediction. For both models, LULC gave the best results with successful prediction of DO at nearly 98% degree of accuracy, with the combination of LULC and the water quality parameters presenting the same degree of accuracy for both FNN and MLR models.

Model-Based Quality Control System for Error Reduction in the Thermoforming Process

2019 ◽  
Vol 809 ◽  
pp. 598-603 ◽  
Author(s):  
Richard Vocke ◽  
Johannes Stempin ◽  
Patrick Schiebel ◽  
Axel Herrmann ◽  
Andreas Fischer
Keyword(s):  
Quality Control ◽  
Control System ◽  
Process Model ◽  
Control Variable ◽  
Experimental Tests ◽  
Quality Parameters ◽  
Tool Temperature ◽  
Reinforced Plastics ◽  
Model Based ◽  
Thermoforming Process

Model-based quality control has the potential to reduce the reject rate in the production of fiber-reinforced plastics (FRP) components. After all the cross-market establishment of FRP, undesirable quality deviations often occur with new materials or component shapes. The quality control uses the component quality (e.g. component angle, crystallinity, fiber orientation, pore content) as the control variable. As a key component of the control, a process model is developed to link the process parameters (press pressure, press duration and tool temperature) with the quality parameters. Knowledge of the process-determining cause-effect relationships is necessary to ensure that different quality parameters are in the target value at the same time. Based on experimental tests, these interrelationships are determined using methods of statistical test planning and serve as the basis for model-based quality control. As a result, it has been shown that the targeted control of the component angle is possible in a range of about ±1° by using the control parameters, tool temperature and pressure, which have a significant influence on the quality. In the next step, further quality characteristics are included in the control system in order to demonstrate the ability to control the quality of complex component specifications. Model-based quality control is particularly promising for the reduction of the process run-in phase and thus for the reduction of the reject rate.

Cross‐gender mentorship in clinical psychology doctoral programs: an exploratory survey study

2009 ◽  
Vol 17 (3) ◽  
pp. 277-290 ◽  
Author(s):  
Sherry L. Harden ◽  
Richard A. Clark ◽  
W. Brad Johnson ◽  
Joshua Larson
Keyword(s):  
Clinical Psychology ◽  
Doctoral Programs ◽  
Survey Study ◽  
Exploratory Survey ◽  
Psychology Doctoral

Obtaining laboratory accreditation – required activities

2019 ◽  
Vol 32 (1) ◽  
pp. 71-83 ◽  
Author(s):  
Vítor Vasata Macchi Silva ◽  
José Luis Duarte Ribeiro
Keyword(s):  
Quality Control ◽  
Laboratory Testing ◽  
Medical Equipment ◽  
Design Methodology ◽  
Relevant Literature ◽  
Laboratory Accreditation ◽  
Content Type ◽  
Reliable Test ◽  
Laboratory Staff ◽  
Quantitative Nature

Purpose The purpose of this paper is to describe the activities needed to meet specified requirements to assist laboratory staff running tests and calibrations and to obtain ISO/IEC 17025 accreditation. Design/methodology/approach The relevant literature that contributes to establishing activities that help laboratory staff to obtain ISO/IEC 17025 accreditation was studied. Laboratory researchers specializing in electro-medical equipment quality control were questioned about the criteria to be observed when selecting, developing and validating analytical steps. Findings Results revealed the analytical method criteria to be observed, which demonstrated their essentially quantitative nature. Originality/value This study presents a model that improves selecting, developing and validating analytical steps and contributes to producing reliable test and calibration results. These improvements can help laboratory testing and calibration to meet clients’ needs, satisfy specified requirements and provide reliable results.

scholarly journals Diet and acne: an exploratory survey study of patient beliefs

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Quynh-Giao Nguyen ◽  
Ramsey Markus ◽  
Rajani Katta
Keyword(s):  
Survey Study ◽  
Patient Beliefs ◽  
Exploratory Survey
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