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Letteratura scientifica selezionata sul tema "Cause-effect analysis"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 3 febbraio 2022

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Articoli di riviste sul tema "Cause-effect analysis"

Yakovleva, Anna, Sergyi Boichenko e Angela Gay. "Cause-Effect Analysis of the Modern State in Production of Jet Fuels". Chemistry & Chemical Technology 8, n. 1 (15 marzo 2014): 107–16. http://dx.doi.org/10.23939/chcht08.01.107.

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Biały, Witold, e Juraj Ružbarský. "Breakdown Cause and Effect Analysis. Case Study". Management Systems in Production Engineering 26, n. 2 (1 giugno 2018): 83–87. http://dx.doi.org/10.1515/mspe-2018-0013.

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Abstract Every company must ensure that the production process proceeds without interferences. Within this article, the author uses the term “interferences” in reference to unplanned stoppages caused by breakdowns. Unfortunately, usually due to machine operators’ mistakes, machines break, which causes stoppages thus generating additional costs for the company. This article shows a cause and effect analysis of a breakdown in a production process. The FMEA as well as quality management tools: the Ishikawa diagram and Pareto chart were used for the analysis. Correction measures were presented which allowed for a significant reduction in the number of stoppages caused by breakdowns.

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Cucurachi, Stefano, e Sangwon Suh. "Cause-effect analysis for sustainable development policy". Environmental Reviews 25, n. 3 (settembre 2017): 358–79. http://dx.doi.org/10.1139/er-2016-0109.

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The sustainable development goals (SDGs) launched by the United Nations (UN) set a new direction for development covering the environmental, economic, and social pillars. Given the complex and interdependent nature of the socioeconomic and environmental systems, however, understanding the cause-effect relationships between policy actions and their outcomes on SDGs remains as a challenge. We provide a systematic review of cause-effect analysis literature in the context of quantitative sustainability assessment. The cause-effect analysis literature in both social and natural sciences has significantly gained its breadth and depth, and some of the pioneering applications have begun to address sustainability challenges. We focus on randomized experiment studies, natural experiments, observational studies, and time-series methods, and the applicability of these approaches to quantitative sustainability assessment with respect to the plausibility of the assumptions, limitations and the data requirements. Despite the promising developments, however, we find that quantifying the sustainability consequences of a policy action, and providing unequivocal policy recommendations based on it is still a challenge. We recognize some of the key data requirements and assumptions necessary to design formal experiments as the bottleneck for conducting scientifically defensible cause-effect analysis in the context of quantitative sustainability assessment. Our study calls for the need of multi-disciplinary effort to develop an operational framework for quantifying the sustainability consequences of policy actions. In the meantime, continued efforts need to be made to advance other modeling platforms such as mechanistic models and simulation tools. We highlighted the importance of understanding and properly communicating the uncertainties associated with such models, regular monitoring and feedback on the consequences of policy actions to the modelers and decision-makers, and the use of what-if scenarios in the absence of well-formulated cause-effect analysis.

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Varma, Jatin H., e Sachin Lal. "Root cause analysis of newsprint waste using pareto analysis and cause and effect matrix". IOP Conference Series: Materials Science and Engineering 810 (5 maggio 2020): 012072. http://dx.doi.org/10.1088/1757-899x/810/1/012072.

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Onyusheva, Irina, Cherry Thinn Naing e Aung Lin Zaw. "THE US-CHINA TRADE WAR: CAUSE-EFFECT ANALYSIS". EUrASEANs: journal on global socio-economic dynamics, n. 1(14) (30 gennaio 2019): 07–15. http://dx.doi.org/10.35678/2539-5645.1(14).2019.07-15.

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The US-China trade war has been considered one of the urgent issues in today’s international trade. In fact, this is a trade war where top two largest world economies participate. In this paper, we have made an attempt to describe and explain the motives behind this trade war along with the potential threats, causes and effects for the world economy. Comparative macroeconomic analysis of the involved countries has been also conducted. Possible retaliation of China and other countries to the US’ increasing in tariffs on imported goods, protectionism and deficit issues in the US are discussed in the first part of the paper. The authors focus on the potential threats and effects that this trade war may have on the world economy from the political economy point of view. Authors’ vision on the future prospects of the current situation is also presented.

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Sirotinskaya, Susanna V. "Cause-Effect Analysis in Assessment of Mineral Resources". Natural Resources Research 13, n. 1 (marzo 2004): 17–28. http://dx.doi.org/10.1023/b:narr.0000023304.47632.b9.

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Jiang, Bernard C., e Charles A. Gainer. "A cause-and-effect analysis of robot accidents". Journal of Occupational Accidents 9, n. 1 (giugno 1987): 27–45. http://dx.doi.org/10.1016/0376-6349(87)90023-x.

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Serebrennikov, Sergei Viktorovich. "Binary cause-and-effect model". Litera, n. 6 (giugno 2020): 75–81. http://dx.doi.org/10.25136/2409-8698.2020.6.33139.

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The subject of this research is the abstract model of functionality of cause-and-effect relations, which can be depicted as a construct x leads to y, where x is producing cause, and y – the effect. Leaning on semantics of the text, this model can be presented as P, cause that leads to P effect, where P is any semantic predicate, being on the place of either causing element or the effect element. The object of this research is the texts with cause-and-effect semantics. The goal consists in examination of the structure of cause-and-effect relations from the perspective of the logic of language and the semantic of text. The main conclusion is the depiction of cause-and-effect relations through the simplest binary model, in which the chain is created between to situations of propositions. Elements of the model are interconnected – one situation exists because of the other. Such relationship can be determined on the in-depth level – a semantic element equal for both situations, as well as on the meaningful level – connection between the elements of the situation. The study applies the methods of component analysis, propositional analysis, and contextual analysis. Relevance of the article is substantiated by referring to such modern linguistic trends as the logic of language, semantic syntax, and syntax of the text.

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Chowdhury, Dr Sanjoy, Dr Priyanka, Dr Snehakumari e Drnilanjanchowdhury Drnilanjanchowdhury. "Analysis of Delayed Dislocation of IoL: Cause And Effect". IOSR Journal of Dental and Medical Sciences 16, n. 04 (aprile 2017): 01–05. http://dx.doi.org/10.9790/0853-1604090105.

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Blöbaum, Patrick, Dominik Janzing, Takashi Washio, Shohei Shimizu e Bernhard Schölkopf. "Analysis of cause-effect inference by comparing regression errors". PeerJ Computer Science 5 (21 gennaio 2019): e169. http://dx.doi.org/10.7717/peerj-cs.169.

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We address the problem of inferring the causal direction between two variables by comparing the least-squares errors of the predictions in both possible directions. Under the assumption of an independence between the function relating cause and effect, the conditional noise distribution, and the distribution of the cause, we show that the errors are smaller in causal direction if both variables are equally scaled and the causal relation is close to deterministic. Based on this, we provide an easily applicable algorithm that only requires a regression in both possible causal directions and a comparison of the errors. The performance of the algorithm is compared with various related causal inference methods in different artificial and real-world data sets.

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Tesi sul tema "Cause-effect analysis"

Iyun, Oluwatope Ebenezer. "Plant-wide diagnosis : cause-and-effect analysis using process connectivity and directionality information". Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9296.

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Production plants used in modern process industry must produce products that meet stringent environmental, quality and profitability constraints. In such integrated plants, non-linearity and strong process dynamic interactions among process units complicate root-cause diagnosis of plant-wide disturbances because disturbances may propagate to units at some distance away from the primary source of the upset. Similarly, implemented advanced process control strategies, backup and recovery systems, use of recycle streams and heat integration may hamper detection and diagnostic efforts. It is important to track down the root-cause of a plant-wide disturbance because once corrective action is taken at the source, secondary propagated effects can be quickly eliminated with minimum effort and reduced down time with the resultant positive impact on process efficiency, productivity and profitability. In order to diagnose the root-cause of disturbances that manifest plant-wide, it is crucial to incorporate and utilize knowledge about the overall process topology or interrelated physical structure of the plant, such as is contained in Piping and Instrumentation Diagrams (P&IDs). Traditionally, process control engineers have intuitively referred to the physical structure of the plant by visual inspection and manual tracing of fault propagation paths within the process structures, such as the process drawings on printed P&IDs, in order to make logical conclusions based on the results from data-driven analysis. This manual approach, however, is prone to various sources of errors and can quickly become complicated in real processes. The aim of this thesis, therefore, is to establish innovative techniques for the electronic capture and manipulation of process schematic information from large plants such as refineries in order to provide an automated means of diagnosing plant-wide performance problems. This report also describes the design and implementation of a computer application program that integrates: (i) process connectivity and directionality information from intelligent P&IDs (ii) results from data-driven cause-and-effect analysis of process measurements and (iii) process know-how to aid process control engineers and plant operators gain process insight. This work explored process intelligent P&IDs, created with AVEVA® P&ID, a Computer Aided Design (CAD) tool, and exported as an ISO 15926 compliant platform and vendor independent text-based XML description of the plant. The XML output was processed by a software tool developed in Microsoft® .NET environment in this research project to computationally generate connectivity matrix that shows plant items and their connections. The connectivity matrix produced can be exported to Excel® spreadsheet application as a basis for other application and has served as precursor to other research work. The final version of the developed software tool links statistical results of cause-and-effect analysis of process data with the connectivity matrix to simplify and gain insights into the cause and effect analysis using the connectivity information. Process knowhow and understanding is incorporated to generate logical conclusions. The thesis presents a case study in an atmospheric crude heating unit as an illustrative example to drive home key concepts and also describes an industrial case study involving refinery operations. In the industrial case study, in addition to confirming the root-cause candidate, the developed software tool was set the task to determine the physical sequence of fault propagation path within the plant. This was then compared with the hypothesis about disturbance propagation sequence generated by pure data-driven method. The results show a high degree of overlap which helps to validate statistical data-driven technique and easily identify any spurious results from the data-driven multivariable analysis. This significantly increase control engineers confidence in data-driven method being used for root-cause diagnosis. The thesis concludes with a discussion of the approach and presents ideas for further development of the methods.

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Farrell, Sam Hanno. "Adaptive evolution in the Pseudomonas fluorescens Wsp signalling pathway : exploring the relationship between genetic cause and phenotypic effect". Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/adaptive-evolution-in-the-pseudomonas-fluorescens-wsp-signalling-pathway-exploring-the-relationship-between-genetic-cause-and-phenotypic-effect(d4fc7a28-6da0-477b-9315-34f4b4d71f76).html.

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When provided with spatial niches by growth in static nutrient medium, Pseudomonas fluorescens diversifies through adaptive radiation into several well-defined phenotype classes. One of these classes, named wrinkly spreader (WS) for its morphology on agar medium, forms a biofilm at the air-liquid interface through mutations in one of several loci including the genes wspF and awsX. These genes code for negative regulators of di-guanylate cyclases (DGCs). These DGCs catalyse synthesis of cyclic-di-GMP, a second messenger, overproduction of which effects physiological changes leading to overproduction of a cellulose polymer and the WS phenotype. Intriguingly, a diverse range of wspF mutations leads to diversity both in colony morphology and strain fitness.In this study, I investigate genetic and fitness diversity in wrinkly spreaders with the aim of identifying the causal factors that link genetic diversity and physiological factors with diversity in fitness. I approach the subject from several directions, examining the historical context of genetic diversity in wspF and awsX, distribution of control over output in the Wsp pathway and overall fitness effects of different causal factors. I investigate the genetic basis of wrinkly spreader evolution through generation of a large number of novel WS strains and exploration of the distribution of mutations in the wspF and awsX genes. In combination with this I calculate estimates of the past rates of mutation in these genes, derived from a phylogenetic investigation of a group of orthologues. I examine the response of the Wsp pathway to change in WspF function through a novel computational analysis that is capable of revealing valuable information on control in a biological system based purely on model structure. In addition I show how this analysis can be refined through specification of broad estimates of system parameters, thereby avoiding issues related to over-reliance on specific parameter values. Finally, I investigate the fitness implications of these factors, as well as a variety of others, through assays of fitness in a group of WS strains combined with machine learning analyses of predictive relationships between protein and mutation characteristics and experimentally measured strain fitness, and consider the implications of this analysis in the context of intermediate physiological effects.I find that mutations in the WspF protein that lead to the WS phenotype tend to be located in regions of historically strong conservation, the first time that any such pattern to WS mutations has been identified. Mutations in AwsX, on the other hand, do not fit such a pattern. Computational analysis of the Wsp pathway shows that, regardless of model parameters, pathway output is always more sensitive to changes in methylesterase activity by WspF than to changes in phosphorylation of WspF, which may explain the greater frequency of mutations fixed in vivo seen in the methylesterase domain. Despite these patterns, none of a wide range of mutation and sequence-based biochemical characteristics, including local rates of past evolution and size and position of mutations, exhibited any predictive power over WS fitness. Overall, the findings in this study point towards an essential role for complex pleiotropic effects in strongly modulating the fitness effect of different mutations in wspF.

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Miller, Kristi. "Effect of Root Cause Analysis on Pre-Licensure, Senior-Level Nursing Students’ Safe Medication Administration Practices". Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3432.

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Aim: The aim of this study was to examine if student nurse participation in root cause analysis has the potential to reduce harm to patients from medication errors by increasing student nurse sensitivity to signal and responder bias. Background: Schools of nursing have traditionally relied on strategies that focus on individual characteristics and responsibility to prevent harm to patients. The modern patient safety movement encourages utilization of systems theory strategies like Root Cause Analysis (RCA). The Patient Risk Detection Theory (Despins, Scott-Cawiezell, & Rouder, 2010) supports the use of nurse training to reduce harm to patients. Method. Descriptive and inferential analyses of the demographic and major study variables were conducted. Validity and reliability assessments for the instruments were performed. The Safe Administration of Medications-Revised Scale (Bravo, 2014) was used to measure sensitivity to signal. The Safety Attitudes Questionnaire (SAQ; Sexton et al., 2006) was used to assess responder bias; this was the first use of this instrument with nursing students. Results: The sample consisted of 125 senior-level nursing students from three universities in the southeastern United States. The SAQ was found to be a valid and reliable test of safety attitudes in nursing students. Further support for the validity and reliability of the SAM-R was provided. A significant difference in safety climate between schools was observed. There were no differences detected between the variables. Conclusion: The results of this study provide support for the use of the SAQ and the SAM-R to further test the PRDT, and to explore methods to improve nursing student ability to administer medications safely.

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Janulyte, Greta. "Cause and Effect: A Case Study on True Fruits Controversial 2017 Adverts and Consumer Responses". Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22674.

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This thesis sets out to design and execute an in-depth study of the True Fruits controversial advertisements by applying Encoding/Decoding as a theoretical model. It aims at examining visual rhetoric and through Critical Discourse Analysis understanding the cause and effect of the controversial True Fruits advertisements in their 2017 campaign. The research attempts to answer the question: ‘What happened on social media after True Fruits published their controversial advertisements in 2017?’. The thesis presents an analysis of True Fruits´ visual rhetoric in #jetztösterreichts campaign advertisements and then reveals consumer responses to it on social media in 2017. Thus, the thesis presents a comprehensive review of the relevant literature leading toward the key themes of German advertisement, controversial advertisement, and the representation of immigration in advertisements. Towards the end, it states the final remarks concluding the entire discussion and reflects upon the attempts that True Fruits made to communicate a political message and how consumers in social media responded to it.

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Lively, Danielle Alexandria. "Social capital and crime which is cause and which is effect? A longitudinal analysis of U.S. cities /". Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Spring2009/d_lively_042909.pdf.

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Mustafa, Mohamed. "A Model to Identify Failure & the Root Cause". Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-68770.

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Through identifying failure manufacturing companies compete in today’s world to gain beneficial attributes. The purpose if this thesis is to develop a model towards identifying failure and the root cause. The model developed to identify failure and the root cause toward it, which should result it decrease in failure time (nonfunction machine). The developed model has tested and analyzed in a manufacturing company. The model has been established through studies based on preventive and predictive maintenance: FMEA & RCA.

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Devlin, Catherine. "Cause and effect : a comparative analysis of the built environment's significance in the Düsseldorf school and Northern Irish photography". Thesis, University of Ulster, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536461.

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Zhiqun, Jin, e Zhu Shijie. "End-to-end Timing Analysis of Task-Chains". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36751.

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Many automotive systems are real-time systems, which means that not only correct operationsbut also appropriate timings are their main requirements. Considering the in uence that end-to-end delay might have on the performance of the systems, the calculation of it is of necessity.Abundant techniques have actually been proposed, and some of them have already been applied intopractical systems. In spite of this, some further work still needs to be done. The target of thisthesis is to evaluate and compare two end-to-end timing analysis methods from dierent aspectssuch as data age, consumption time, and then decide which method is a prior choice for end-to-end timing analysis. The experiments can be divided into three blocks, system generation andend-to-end delay calculation by two methods respectively. The experiments focus on two kinds ofperformance parameters, data age and the consumption time that these two methods cost duringtheir execution. By changing the system generating parameters like task number and periods, thechanges of performances of the two methods are analyzed. The performances of the two dierentmethods are also compared when they are applied into the same automotive systems. According tothe results of the experiments, the second method can calculate more accurate data age and consumeless time than the rst method does.

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Paramasivam, Sivajothi. "Investigating university-industry partnership of higher engineering education using cause-effect analysis and multi-criteria decision making : a Malaysian perspective". Thesis, Northumbria University, 2016. http://nrl.northumbria.ac.uk/36191/.

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In recent years, there has been growing interest towards integrating industry into the teaching and learning processes. This is due to many factors including increased concerns about the mismatch between the skills and abilities of the talent pool, strengthening partnership and improving quality of engineering education. Thus, greater emphasis on the teaching and learning processes to enhance the students’ learning experience leads to the university-industry partnership to the forefront interest of the university. On the other hand, exclusion of industry’s engagement in the teaching and learning processes have been identified as the main source of chronic criticism on the higher engineering education segment in recent years. This study demonstrates a research model that hypothesised the influence of teaching and learning domains on the university-industry partnership towards enhancing the learning experience of the engineering students. Using the structural equation modelling (SEM), the hypothesis was tested on the primary data collected from 212 communities of the industry. Furthermore, the study investigated the preference of industry on the type of linkages to foster university-industry partnership using analytical hierarchy process (AHP). The results revealed that nine out of the thirteen hypotheses had significant associations including six direct paths and three indirect effects in the model. The findings indicated the need for industry-university partnership in three main constructs including cooperation in education, the mobility of people and intellectual enhancement. Moreover, internship programme was the important linkage in achieving the overall university-industry partnerships goals, followed by the staff training programme, academic development, consultancy work, student learning activity and publication activity. In summary, the study demonstrates that teaching and learning relevance could be enhanced through optimizing industry’s enrichment activities into the learning process, improving the measures for accreditation in narrowing the gap between theory and practice and proactively improving the quality of teaching by exploring the staff training programmes.

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Svensson, Sanna, e Evelina Nilsson. "Lean on Lean : Applicering av Value Stream Mapping på ett fallföretags inleverans- respektive utleveransprocess". Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-54514.

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Bakgrund: På grund utav den ökade globala konkurrensen, den snabba teknologiska utveckligen och skiftet till ett kundorienterat synsätt, ställs högre krav på ständiga förbättringar inom verksamheter. Detta ställer i sin tur högre krav på effektiva processer och flöden. Genom att tillämpa Lean och verktyget Value Stream Mapping kan icke- värdeadderande aktiviteter, relaterade till slöserier, identifieras och minimeras för att maximera både material- och informationsflödet inom processer. Syfte: Syftet med denna studie är att identifiera slöserier inom Företagets inleverans- respektive utleveransprocess genom tillämpning av verktyget Value Stream Mapping. Vidare syftar studien till att urskilja rotorsakerna för respektive identifierat slöseri. Därefter avser studien att föreslå åtgärder som slutligen bidrar till att de identifierade slöserierna kan minimeras, alternativt elimineras. Metod: Studien baseras på en kvalitativ fallstudie av Företagets inleverans- respektive utleveransprocess, utifrån ett deduktivt angreppsätt. Den teoretiska referensramen utgår främst ifrån litterära källor från Linnéuniversitetets bibliotek samt vetenskapliga artiklar hämtade ifrån databaser. Empirisk data har samlats in under observationer samt semistrukturerade intervjuer. Urvalet av respondenterna utgår ifrån ett bekvämlighersurval som bottnar i ett snöbollsurval. Slutsatser: Utifrån de CSM som har illustrerats för inleverans- respektive utleveransprocessen kunde slöserierna väntetid, rörelse och överarbete identifieras, relaterat till icke-värdeadderande aktiviteter. Genom att undersöka dessa närmare identifierades rotorsaker layout, begränsade resurser och bristande rutiner. För att nå det tillstånd som beskrivs i FSM och minimera, alternativt eliminera, slöserierna har studien resulterat i följande förbättringsförslag; nedmontering av kontor och stängsel vid inleveransytan samt implementering av FIFU-system, implementering av 5S rapportering av felaktiga pallar och implementering av ett elektroniskt orderplockningsystem.
Background: As a consequence of the increased global competition, the rapid technological changes and the shift to a customer-oriented approach, it becomes more important with continuous improvements to achive efficient processes and flows. By applying Lean and Value Stream Mapping wastes can be identified, minimized in order to maximize both the material- and the information flow within a business process. Purpose: The purpose of this study is to identify wastes in a company’s inbound- and outbound process by applying the tool Value Stream Mapping. Furthermore, the study aims to identify the root causes and propose actions that contribute to minimize or eliminate the identified wastes. Method: The study is based on a qualitative case study of a company’s inbound- and outbound process. Empirical data has been collected during observations and semi- structured interviews. The theoretical framework is primarily based on literary sources that are retrieved from the Linnaeus University’s library and also scientific articles retrieved from databases. The selection is based on a convenience sample, a snowball sample. Conclusions: Based on the two CSMs that has been illustrated for the inbound- and outbound process, wastes were identified as waiting, motion and over processing, related to non-value added activities. By examining these wastes the root causes were identified as layout, limited resources and inadequate procedures. To reach the state described in the two FSMs by minimizing, or eliminating, the identified wastes, the study results in following proposals; dismantling of office and fence at the inbound area together with the implementation of a FIFU-system, implementation of 5S to report incorrect pallets and implementation of an electronic orderpicking system.

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Più fonti

Libri sul tema "Cause-effect analysis"

Canada. Office of the Auditor General. Cause - effect analysis for developing observations in system audits. [Ottawa: Office of the Auditor General], 1985.

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Humanism and embodiment: From cause and effect to secularism. London: Bloomsbury, 2014.

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Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

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Trofimov, Sergey. Strategic development of the Russian oil and gas complex: theoretical foundations, specifics and globalization aspects of state regulation. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1662056.

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The monograph examines the historical and economic aspects of state regulation of the economy, and concludes that the national results of identical economic policies pursued by individual countries at different stages of development are heterogeneous. The necessity of improving the mechanism of centralized influence on economic activity in the Russian Federation by finding the optimal combination of various tools, taking into account the specifics of state regulation of the oil and gas complex as a structural element of the national economy, is proved. The article examines the world experience of oil-producing countries with a developed market structure, analyzes the cause-and-effect relationships between global processes on the world energy market and the internal economic specifics that arose during the modernization of production and the reform of the regulatory mechanism of the Russian oil and gas complex. It is recommended to everyone who is interested in the issues of state regulation of the economy and the development of the domestic oil and gas sector: state civil servants working in the fuel and energy sector, managers and employees of oil and gas enterprises, teachers, doctoral students, postgraduates and students.

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J, Chetsanga C., Scientific and Industrial Research and Development Centre (Harare, Zimbabwe) e National Economic Consultative Forum (Zimbabwe), a cura di. An analysis of the cause and effect of the brain drain in Zimbabwe. Harare: Scientific and Industrial Research and Development Centre, 2003.

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Panaretos, Christopher. Biological Pathway Analysis: How to Determine Cause and Effect Relationships in Biological Signaling Networks by Hand. Independently Published, 2019.

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Anjum, Rani Lill, e Stephen Mumford. Calculating Conditional Probability? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733669.003.0021.

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When dealing with probability in causal claims, conditional reasoning seems unavoidable since we will want to know the probability of an effect, if the cause occurs. Conditional probability is typically defined in terms of the ratio of the unconditional probabilities of the elements. But when it comes to cause and effect, there are good reasons to think that this does not hold and that the conditional probability is primitive. It can be shown that a number of problematic but valid inferences from classical logic reproduce in the calculation of conditional probability if the ratio analysis is employed. The primitivist response is to take the conditional connection as unanalysable.

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Noordhof, Paul. A Variety of Causes. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780199251469.001.0001.

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Metaphysicians often focus on what is vertically fundamental, appealing to grounding or truth-making, rather than what is horizontally fundamental: what must be common to any metaphysical picture of the universe. There is a case for causation being one such feature. But how should it be characterized? A revised semantics for counterfactuals provides the basis for a new counterfactual analysis of causation that is compatible with Humean supervenience but also appropriate for a non-Humean metaphysical framework. Causes (independently of their competitors) both make the chance of an effect very much greater than its mean background chance in the circumstances and actually influences the probability of the effect in this way at the time at which the effect occurred via a complete causal chain. Causation understood in this way is a non-transitive relation. It is neutral over the metaphysics of causes and effects but allows a natural way for events to be understood as one fundamental type of causation, the other being property causation. Although negative causal statements are true, there are no cases of negative causation. The analysis explains how causation involving substantial processes is only one variety of causation, others include double prevention. It allows for a variety of micro- and macro-properties to be the basis of the difference between cause and effect. Laws are patterns of causation realized in different ways in different metaphysical pictures. The analysis of causation characterizes a horizontally fundamental property whose modal character depends upon its different realizations.

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Dearman, J. Andrew. Narratives in the Hebrew Bible. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190246488.003.0002.

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This chapter introduces readers to the narrative traditions in the Old Testament, their contexts, and basic perspectives in reading them. They exist as separate books and as parts of others books in the OT and they function as explanations for ancient Israel’s identity. Several characteristics of narrative analysis are identified as aids in reading these texts, including plot, character, point of view, and style. And some broad characteristics of Hebrew narrative style are identified, including the preference for speech and the omniscience of the author in presenting cause and effect. The broader historical setting of ancient Israel is sketched as necessary background for interpreting Old Testament narratives.

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Geier, János, e Mariann Hudák. The Curved Grid Non-Illusions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0045.

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The generally accepted explanation of the Hermann grid illusion is Baumgartner’s hypothesis that the illusory effect is generated by the response of retinal ganglion cells with concentric ON-OFF or OFF-ON receptive fields. To challenge this explanation, some simple distortions to the grid lines were introduced that make the illusion disappear totally, while all preconditions of Baumgartner’s hypothesis remained unchanged. Psychophysical experiments in which the distortion tolerance was measured showed the level of distortion at which the illusion disappears at a given type of distortion for a given subject. Statistical analysis shows that the distortion tolerance is independent of grid-line width within a wide range and of the type of distortion, except when one side of each line remains straight. The conclusion is the main cause of the Hermann grid illusion is the straightness of the edges of the grid lines. Similar results have been obtained in the scintillating grid.

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Capitoli di libri sul tema "Cause-effect analysis"

Czaja, Ludwik. "Languages of Processes: Analysis and Synthesis Problems". In Cause-Effect Structures, 105–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20461-7_12.

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Lyonnet, P. "Cause-and-effect analysis". In Tools of Total Quality, 99–117. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3140-7_5.

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Chrząszcz, Jerzy, e Piotr Salata. "Cause-Effect Chains Analysis Using Boolean Algebra". In Advances and Impacts of the Theory of Inventive Problem Solving, 121–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96532-1_12.

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Cunningham, Paul. "Pareto analysis – cause and effect – 5 Whys". In BASICS: Be Always Sure Inputs Create Success, 110–19. Abingdon, Oxon; New York, NY: Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003016328-14.

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Fabri, Peter J. "Interpreting Outcomes: Cause and Effect and p-Values". In Measurement and Analysis in Transforming Healthcare Delivery, 139–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40812-5_10.

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Ellison, S. L. R., e V. J. Barwick. "Estimating measurement uncertainty: reconciliation using a cause and effect approach". In Measurement Uncertainty in Chemical Analysis, 115–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-05173-3_21.

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Lee, Min-Gyu. "Function Analysis Plus and Cause-Effect Chain Analysis Plus with Applications". In Advances in Systematic Creativity, 133–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78075-7_9.

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Schmidt, Tobias Sebastian, e Kristin Paetzold. "Challenges of Agile Development: A Cause-and-Effect Analysis". In Complex Systems Design & Management, 237. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49103-5_21.

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Steakley, Joyce, e Bruce Steakley. "Red Wine Imbalance Problem Solving with Cause and Effect Analysis". In A Quest for Quality Wine, Every Time., 133–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34000-1_6.

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Andronova, Natalia G., e Michael E. Schlesinger. "Cause-and-Effect Analysis of Feedbacks in a Numerical Model". In Climate Sensitivity to Radiative Perturbations, 67–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61053-0_6.

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Atti di convegni sul tema "Cause-effect analysis"

Kim, Hongbin, Sungchul Choi, Cheolhyun Jeong e Kwangsoo Kim. "Cause-and-effect function analysis". In 2010 IEEE International Conference on Management of Innovation & Technology. IEEE, 2010. http://dx.doi.org/10.1109/icmit.2010.5492765.

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Widayanti, Riya, Siti Afifah, Budi Tjahjono e Agung Widodo. "Root Cause Analysis using Cause and Effect Diagram to Identify Application Requirement". In Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology, ICONQUHAS & ICONIST, Bandung, October 2-4, 2018, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.2-10-2018.2295465.

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Zhang Bin, Yang Xianhui e Kang Rongxue. "Common cause failure effect analysis for PFDavg uncertainty". In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605419.

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Pirzadeh, L., e E. Jonsson. "A Cause and Effect Approach towards Risk Analysis". In 2011 Third International Workshop on Security Measurements and Metrics (Metrisec). IEEE, 2011. http://dx.doi.org/10.1109/metrisec.2011.20.

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Gunzel, Mario, Kuan-Hsun Chen, Niklas Ueter, Georg von der Bruggen, Marco Durr e Jian-Jia Chen. "Timing Analysis of Asynchronized Distributed Cause-Effect Chains". In 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2021. http://dx.doi.org/10.1109/rtas52030.2021.00012.

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Kong, Wende, Ying Shi e Carol Smidis. "Early Software Reliability Prediction Using Cause-effect Graphing Analysis". In 2007 Proceedings Annual Reliability and Maintainability Sympsoium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328104.

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Wang, Hanhsiang. "Ontology-Based Representation Model to Support Cause and Effect Analysis". In ICCREM 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479377.067.

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Petrović, Ivica, Marinko Barukčić, Željko Hederić e Nenad Cvetković. "An Analysis of Possible Applications of Combined Fuzzy Logic to Cause-Effect Analysis". In 7th Symposium on Applied Electromagnetics SAEM`18. Unviersity of Maribor Press, 2019. http://dx.doi.org/10.18690/978-961-286-241-1.27.

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Bauer, M. "Cause and effect analysis of chemical processes - analysis of a plant-wide disturbance". In IEE Seminar on Control Loop Assessment and Diagnosis. IEE, 2005. http://dx.doi.org/10.1049/ic:20050171.

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Meira, Wagner, Thomas J. LeBlanc e Virgílio A. F. Almeida. "Using cause-effect analysis to understand the performance of distributed programs". In the SIGMETRICS symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/281035.281046.

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Rapporti di organizzazioni sul tema "Cause-effect analysis"

Shi, Rui, KY Diao, K. Shi, Y. Gao, S. Huang, YK Guo e ZG Yang. Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: a protocol for systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, giugno 2020. http://dx.doi.org/10.37766/inplasy2020.6.0079.

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Ye, Binglin, Shuling Li, Fengqi Sun, Youfu Fan, Weiguo Chen e Xiangfu Wang. Effect of full-endoscopic cervical laminectomy and decompression versus anterior cervical decompression with fusion in the treatment of patients with cervical spondylotic myelopathy: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, agosto 2021. http://dx.doi.org/10.37766/inplasy2021.8.0034.

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Review question / Objective: This systematic review aims to comprehensively assess the efficacy and safety of full-endoscopic cervical laminectomy and decompression versus anterior cervical decompression with fusion in treating cervical spondylotic myelopathy (CSM) patients. Condition being studied: Cervical spondylotic myelopathy (CSM) is a degenerative disease associated with cervical cord compression, which has increased significant health-related social costs and derived disabilities. Anterior cervical discectomy and fusion (ACDF) is the "gold standard" for the treatment of CSM. However, the application of ACDF may cause some complications. Recently, full-endoscopic cervical laminectomy and decompression have shown potential therapeutic effects for CSM. However, no systematic review or meta-analysis has focused on the effects of full-endoscopic cervical laminectomy and decompression in the treatment of CSM. This systematic review aims to comprehensively assess the efficacy and safety of full-endoscopic cervical laminectomy and decompression versus anterior cervical decompression with fusion in treating CSM patients.

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