Results for 'statistical process control'

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  1.  15
    The Use of Statistical Process Control (Risk‐Adjusted CUSUM, Risk‐Adjusted RSPRT and CRAM with Prediction Limits) for Monitoring the Outcomes of Out‐of‐Hospital Cardiac Arrest Patients Rescued by the EMS System.Tsung-Tai Chen, Kuo-Piao Chung, Fu-Chang Hu, Chieh-Min Fan & Ming-Chin Yang - 2011 - Journal of Evaluation in Clinical Practice 17 (1):71-77.
  2.  13
    Statistical Process Control as a Tool for Controlling Operating Room Performance: Retrospective Analysis and Benchmarking.Tsung-Tai Chen, Yun-Jau Chang, Shei-Ling Ku & Kuo-Piao Chung - 2010 - Journal of Evaluation in Clinical Practice 16 (5):905-910.
  3. Client-Server Based Remote Access Through the Internet: Internet Based Remote Process Control.Mohammed Abdullah Hussein - 2011 - Germany: LAP Lambert Academic Publishing.
    Internet based process control usage has grown in the past years. Industry field demands were behind this, and it ranges from factory, office and home automation to tasks simplifications and cost reduction. In this book a hardware interface circuit and a software system used to control the temperature and level of a liquid tank is described. The advantage of the designed interface circuit is its simplicity and low cost. The same can be true for the software system (...)
     
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  4.  18
    Characterization of the process of evaluation of the learning of statistical content in medicine.Arnaldo Espindola Artola, José Manuel Ruiz Socarrás, Olga Lidia Pérez González, Gladys María Díaz García & Raudel López Benítez - 2013 - Humanidades Médicas 13 (1):177-192.
    Este trabajo tiene como objetivo caracterizar el proceso de evaluación del aprendizaje del contenido estadístico en la carrera de Medicina. Los resultados obtenidos evidencian que el nivel de asimilación alcanzado por los estudiantes en muchas ocasiones es el reproductivo, lo que refleja la necesidad de seguir profundizando en los estudios de esta problemática. Issues related to the learning evaluation have been present throughout the teaching learning process history. The following research aims at characterizing the learning process of evaluation (...)
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  5.  16
    The Control Process is Represented in Both the Inferior and Superior Parietal Lobules.David E. Vaillancourt, Mary A. Mayka & Daniel M. Corcos - 2004 - Behavioral and Brain Sciences 27 (1):51-52.
    Glover postulates that the inferior parietal lobule (IPL), along with the frontal lobes and basal ganglia, mediates planning, while the superior parietal lobule (SPL), coupled with motor processes in the cerebellum, regulates the control process. We demonstrate that the control process extends beyond the cerebellum and SPL into regions hypothesized to represent planning.
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  6. Data-Driven Approximated Optimal Control of Sulfur Flotation Process.Mingfang He - 2019 - Complexity 2019:1-16.
    Sulfur flotation process is a typical industry process with complex dynamics. For a sulfur flotation cell, the structure of the system model could be derived using first-principles and reaction kinetics. However, the model parameters cannot be obtained under certain working conditions. In this paper, by using adaptive dynamic programming, we establish a data-driven optimal control approach for the operation of a sulfur flotation cell without knowing the model parameters. By learning from the online production data, an initial (...)
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  7.  10
    Process Control.Lvle H. Ungar - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 760--764.
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  8.  12
    Understanding Self‐Organized Criticality as a Statistical Process.Gregory G. Brunk - 2000 - Complexity 5 (3):26-33.
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  9. Unifying Process Control and Optimization (Vol 149, Pg 56, 2005).J. Makansi - 2005 - In Alan F. Blackwell & David MacKay (eds.), Power. Cambridge University Press. pp. 149--9.
     
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  10. Mixed Processes in Process Control.David L. Morrison & Peter Lee - 1998 - In K. Kirsner & G. Speelman (eds.), Implicit and Explicit Mental Processes. Lawrence Erlbaum. pp. 309--328.
     
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  11. The Relationship Between Correcting Deviations in Measuring Performance and Achieving the Objectives of Control - The Islamic University as a Model.Abed Alfetah M. AlFerjany, Ashraf A. M. Salama, Youssef M. Abu Amuna, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (1):74-89.
    The study aimed to identify the relationship between correcting the deviations in the measurement of performance and achieving the objectives of control and the performance of the job at the Islamic University in the Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (20) statements distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the administrative (...)
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  12.  27
    Resource Allocation and Project Selection: Control of R & D Under Dynamic Process of Data Improvement.V. Z. Belenky & A. M. Belostotsky - 1989 - Theory and Decision 26 (1):1-35.
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  13. The Role of Measuring and Evaluating Performance in Achieving Control Objectives- Case Study of "Islamic University".Mazen J. Al Shobaki, Samy S. Abu-Naser, Ashraf A. M. Salama, Abed Alfetah M. AlFerjany & Youssef M. Abu Amuna - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (1):106-118.
    The study aimed to identify the role of measuring and evaluating performance in achieving the objectives of control and the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information which is the questionnaire that consisted of (22) phrases were distributed to three categories of employees of the Islamic University (Faculty Members and Their Assistants, Members of the Administrative Board, Senior Management). (...)
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  14. Improving Understanding in the Research Informed Consent Process: A Systematic Review of 54 Interventions Tested in Randomized Control Trials. [REVIEW]Adam Nishimura, Jantey Carey, Patricia Erwin, Jon Tilburt, M. Murad & Jennifer McCormick - 2013 - BMC Medical Ethics 14 (1):28.
    Obtaining informed consent is a cornerstone of biomedical research, yet participants comprehension of presented information is often low. The most effective interventions to improve understanding rates have not been identified.
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  15.  20
    Controlling Is Not Enough: The Importance of Measuring the Process and Specific Effectiveness of Psychotherapy Treatment and Control Conditions.Louis G. Castonguay - 2002 - Ethics and Behavior 12 (1):31-42.
    The major argument of this article is that failing to measure what is taking place in treatment and control conditions can lead to scientifically invalid conclusions. It is argued that researchers are ethically responsible for being aware that variables related to the therapist, client, and the therapeutic relationship might play a confounding role when treatment and control conditions are compared. As a consequence, they should either measure these variables or be tentative in their interpretation of their findings.
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  16.  2
    Process and Action: Whitehead’s Ontological Units and Perceptuomotor Control Units.Jonathan T. Delafield-Butt - 2014 - In Spyridon A. Koutroufinis (ed.), Life and Process: Towards a New Biophilosophy. De Gruyter. pp. 133-156.
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  17.  8
    Work Process Knowledge, Curriculum Control and the Work-Based Route to Vocational Qualifications.Nick Boreham - 2002 - British Journal of Educational Studies 50 (2):225-237.
    Recent policy statements reveal that the future work-based route to vocational qualifications in the UK will include 'taught knowledge and understanding' as well as competence acquired in the workplace. The intention is to bring National/Scottish Vocational Qualifications into line with the German dual system of apprenticeship, which involves much more academic study. This article seeks to clarify the UK policy by exploring recent developments in the German dual system, and considering two key questions: how to define knowledge and understanding in (...)
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  18.  28
    Prequantum Classical Statistical Field Theory: Schrödinger Dynamics of Entangled Systems as a Classical Stochastic Process[REVIEW]Andrei Khrennikov - 2011 - Foundations of Physics 41 (3):317-329.
    The idea that quantum randomness can be reduced to randomness of classical fields (fluctuating at time and space scales which are essentially finer than scales approachable in modern quantum experiments) is rather old. Various models have been proposed, e.g., stochastic electrodynamics or the semiclassical model. Recently a new model, so called prequantum classical statistical field theory (PCSFT), was developed. By this model a “quantum system” is just a label for (so to say “prequantum”) classical random field. Quantum averages can (...)
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  19. Design of a Control Chart Based on COM-Poisson Distribution for the Uncertainty Environment.Muhammad Aslam & Ali Hussein Al-Marshadi - 2019 - Complexity 2019:1-9.
    This paper will introduce the neutrosophic COM-Poisson distribution. Then, the design of the attribute control chart using the NCOM-Poisson distribution is given. The structure of the control chart under the neutrosophic statistical interval method will be given. The algorithm to determine the average run length under neutrosophic statistical interval system will be given. The performance of the proposed control chart is compared with the chart based on classical statistics in terms of neutrosophic average run length. (...)
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  20.  10
    Origins and Functions of Positive and Negative Affect: A Control-Process View.Charles S. Carver & Michael F. Scheier - 1990 - Psychological Review 97 (1):19-35.
  21.  32
    Navigating the Affordance Landscape: Feedback Control as a Process Model of Behavior and Cognition.Giovanni Pezzulo & Paul Cisek - 2016 - Trends in Cognitive Sciences 20 (6):414-424.
  22.  6
    Common Process Demands of Two Complex Dynamic Control Tasks: Transfer Is Mediated by Comprehensive Strategies.Wolfgang Schoppek & Andreas Fischer - 2017 - Frontiers in Psychology 8.
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  23.  5
    Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process.Yuehjen E. Shao, Po-Yu Chang & Chi-Jie Lu - 2017 - Complexity:1-10.
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  24.  13
    Language Control is Not a One-Size-Fits-All Languages Process: Evidence From Simultaneous Interpretation Students and the N-2 Repetition Cost.Laura Babcock & Antonino Vallesi - 2015 - Frontiers in Psychology 6.
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  25.  4
    Difficult Decisions: A Qualitative Exploration of the Statistical Decision Making Process From the Perspectives of Psychology Students and Academics.Peter J. Allen, Kate P. Dorozenko & Lynne D. Roberts - 2016 - Frontiers in Psychology 7.
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  26.  39
    On the Reduction of Process Causality to Statistical Relations.Phil Dowe - 1993 - British Journal for the Philosophy of Science 44 (2):325-327.
  27.  13
    Statistical Learning and Adaptive Decision-Making Underlie Human Response Time Variability in Inhibitory Control.Ning Ma & Angela J. Yu - 2015 - Frontiers in Psychology 6.
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  28.  3
    A Dual Process for the Cognitive Control of Emotional Significance: Implications for Emotion Regulation and Disorders of Emotion.Steven G. Greening, Tae-Ho Lee & Mara Mather - 2014 - Frontiers in Human Neuroscience 8.
  29.  18
    The Diagnostic Process as a Statistical-Causal Analysis.Hans Westmeyer - 1975 - Theory and Decision 6 (1):57-86.
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  30.  3
    Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach.Yunxiao Chen, Xiaoou Li, Jingchen Liu & Zhiliang Ying - 2019 - Frontiers in Psychology 10.
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  31.  32
    Using Multiscale Entropy to Quantify the Complexity of Neural Systems During the Process of Cognitive Control.Liang Wei-Kuang & Juan Chi-Hung - 2015 - Frontiers in Human Neuroscience 9.
  32.  4
    Silicon Surfacial Grain Boundaries Obtained by Direct Wafer Bonding Process: Accurate Control of the Structure Before Bonding.K. Rousseau *, J. Eymery, F. Fournel, J. -P. Morniroli & J. -L. Rouvière - 2005 - Philosophical Magazine 85 (21):2415-2448.
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  33.  6
    Between Power and Process: Legal and Political Control Over National Security †.Hayley J. Hooper - 2018 - Oxford Journal of Legal Studies 38 (3):613-634.
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  34.  12
    Statistical Method From the Viewpoint of Quality Control.Walter A. Shewhart & W. Edwards - 1940 - Journal of Philosophy 37 (18):501-502.
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  35.  7
    Defense Profiles in Adaptation Process to Sport Competition and Their Relationships with Coping, Stress and Control.Michel Nicolas, Guillaume Martinent, Martin Drapeau, Khadija Chahraoui, Philippe Vacher & Yves de Roten - 2017 - Frontiers in Psychology 8.
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  36.  23
    Estimación Estadística de Control de Calidad (Statistical Assessment of Quality Control).M. H. Badii, A. Guillen & Abreu Jl - 2012 - Daena 7 (2):91-113.
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  37.  15
    Internal Control Effectiveness and Risk-Management Process.Luminita Ionescu - 2008 - Linguistic and Philosophical Investigations 7.
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  38.  31
    Book Review:Statistical Method From the Viewpoint of Quality Control Walter A. Shewhart, W. E. Deming. [REVIEW]M. M. W. - 1940 - Philosophy of Science 7 (3):386-.
  39.  14
    Statistical Method From the Viewpoint of Quality Control[REVIEW]N. E. - 1940 - Journal of Philosophy 37 (18):501-502.
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  40.  5
    Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process.Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang & Xu Wang - 2017 - Complexity:1-17.
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  41.  4
    Statistical Method From the Viewpoint of Quality Control.Walter A. Shewhart & W. E. Deming - 1940 - Philosophy of Science 7 (3):386-386.
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  42.  5
    A. L. Čérnávskij. Modélirovanié Procéssa Réšéniá Složnyh Logičéskih Zadač Na Vyčislitél′Nyh Mašinah . Russian with English Summary. Avtomatika I Téléméhanika, No. 1 , Pp. 166–187. - A. L. Chernyavskii. Computer Simulation of the Process of Solving Complex Logical Problems . English Translation of the Preceding. Automation and Remote Control, No. 1 , Pp. 145–167. [REVIEW]D. C. Cooper - 1968 - Journal of Symbolic Logic 33 (2):303-303.
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  43.  5
    A Statistical Model for the Process of Visual Recognition.Arnold Binder - 1955 - Psychological Review 62 (2):119-129.
  44.  5
    Effectiveness of Involving Pharmacists in the Process of Ambulatory Health Care to Improve Drug Treatment Adherence and Disease Control.Dolores Mino-León, Hortensia Reyes-Morales & Sergio Flores-Hernández - 2015 - Journal of Evaluation in Clinical Practice 21 (1):7-12.
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  45.  1
    Enabling Process Improvement and Control in Higher Education Management.Gary Bell, Jon Warwick & Mike Kennedy - 2009 - Perspectives: Policy and Practice in Higher Education 13 (4):104-117.
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  46.  6
    Problems with “Control of Variables” as a Process Skill.A. M. Lucas & Kenneth Tobin - 1987 - Science Education 71 (5):685-690.
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  47.  5
    Quality Control in Maintenance and Management Process of School Building in the Province of Salerno.Maria Rita Pinto & Stefania De Medici - 2013 - Techne: Journal of Technology for Architecture and Environment 6.
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  48.  2
    Rehearsal as a Control Process.Amos Spector & Kenneth R. Laughery - 1975 - Bulletin of the Psychonomic Society 6 (4):373-376.
  49. Automatic Control of the Freeze-Drying Process and Predetermination of Quality.J. M. Dalgleish - 1965 - In Karl W. Linsenmann (ed.), Proceedings. St. Louis, Lutheran Academy for Scholarship. pp. 4--13.
     
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  50. Resistance and Control: The Complex Process of Creating an OWL.Camille Langston - 1996 - Kairos: A Journal for Teachers of Writing and Webbed Environments 1 (1):31.
     
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