The Affect Regulation in Cancer framework: Understanding affective responding across the cancer trajectory

2017 ◽  
Vol 25 (1) ◽  
pp. 7-25 ◽  
Author(s):  
Maria Kangas ◽  
James J Gross
Keyword(s):  
Affect Regulation ◽  
Process Model ◽  
Affective Responses ◽  
Prior Work ◽  
Regulatory Processes ◽  
Affective Science ◽  
Proposed Model ◽  
Recent Developments ◽  
Cancer Trajectory ◽  
Affective Dimensions

Affective dimensions of cancer have long been a central concern in the field of psycho-oncology. Recent developments in the field of affective science suggest the value of incorporating insights from the burgeoning literature on affect regulation. Accordingly, the objective of this article is to build on prior work in this area by applying a process-oriented affect regulation framework to the various phases of the cancer trajectory. The Affect Regulation in Cancer framework is adapted from Gross’ process model of emotion regulation, and its aim is to integrate recent advances in affective science with work in the field of psycho-oncology. The basic elements of the affect generative and affect regulatory processes are outlined across the various phases of the cancer trajectory. Our proposed model provides a useful heuristic framework in advancing research on the ways people manage their affective responses throughout the cancer trajectory.

Calculation of Effective Ground Depth of Cut by Means of Grinding Process Model

2011 ◽  
Vol 496 ◽  
pp. 7-12 ◽  
Author(s):  
Takazo Yamada ◽  
Michael N. Morgan ◽  
Hwa Soo Lee ◽  
Kohichi Miura
Keyword(s):  
Process Model ◽  
Ground Surface ◽  
Depth Of Cut ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Wheel Wear ◽  
Elastic Deformations ◽  
Proposed Model ◽  
Effective Depth ◽  
Grinding Machine

In order to obtain the effective depth of cut on the ground surface, a new grinding process model taking into account thermal expansions of the grinding wheel and the workpiece, elastic deformations of the grinding machine, the grinding wheel and the workpiece and the wheel wear was proposed. Using proposed model, the effective depth of cut was calculated using measured results of the applied depth of cut and the normal grinding force.

Career Goal Discrepancy, Career Distress, and Goal Adjustment: Testing a Dual Moderated Process Model in Young Adults

2021 ◽  
pp. 106907272110633
Author(s):  
Anna Praskova ◽  
Lisa McPeake
Keyword(s):  
Young Adults ◽  
Indirect Effects ◽  
Process Model ◽  
Meaning Making ◽  
Cross Sectional Study ◽  
Career Goal ◽  
Cross Sectional ◽  
Regulatory Processes ◽  
Goal Adjustment ◽  
Career Calling

Identifying a large discrepancy in young people’s career goal progress can lead to distress, activating meaning-making, self-regulatory mechanisms aimed at resolving the uncomfortable situation. We assessed these important career-regulatory processes in a theoretical model by testing the indirect effects of career goal discrepancy on goal adjustment (assimilation and accommodation) via career distress, and assessed the conditionality of these effects based on two moderators (career calling and negative career feedback). In a cross-sectional study, we recruited 287 young adults with a mean age of 23.79 years ( SD = 3.35), and tested complex dual moderated process model (OLS regression). Greater career goal discrepancy was associated with more career distress, and, in turn, less assimilative and more accommodative tendencies. These indirect effects depended on the level of career calling and negative career feedback. The findings can be used to tailor interventions to optimise the consequences of identified gaps in young people’s career progress.

Internal and Consulting Information Flows in the Process of Knowledge Accumulation

2019 ◽  
Vol 15 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Wiliam Acar ◽  
Rami al-Gharaibeh
Keyword(s):  
Knowledge Creation ◽  
Practical Applications ◽  
Seci Model ◽  
Top Managers ◽  
Deductive Synthesis ◽  
Proposed Model ◽  
Control Framework ◽  
Recent Developments ◽  
And Control ◽  
Knowledge Hierarchy

Practical applications of knowledge management are hindered by a lack of linkage between the accepted data-information-knowledge hierarchy with using pragmatic approaches. Specifically, the authors seek to clarify the use of the tacit-explicit dichotomy with a deductive synthesis of complementary concepts. The authors review appropriate segments of the KM/OL literature with an emphasis on the SECI model of Nonaka and Takeuchi. Looking beyond equating the sharing of knowledge with mere socialization, the authors deduce from more recent developments a knowledge creation, nurturing and control framework. Based on a cyclic and upward-spiraling data-information-knowledge structure, the authors' proposed model affords top managers and their consultants opportunities for capturing, debating and storing richer information – as well as monitoring their progress and controlling their learning process.

Understanding the Progressive Nature of Inter-Organizational Systems (IOS) Adoption

2012 ◽  
pp. 51-71
Author(s):  
Mazen Ali ◽  
Sherah Kurnia ◽  
Robert B. Johnston
Keyword(s):  
Supply Chain ◽  
Process Model ◽  
Trading Partner ◽  
Organizational Systems ◽  
Proposed Model ◽  
Trading Partners

Inter-organizational Systems (IOS) cannot be adopted by any organizations in isolation from their trading partner. Their adoption requires cooperation and collaboration between trading partners and, therefore, is reliant on the nature of relationships between the parties involved. For organizations to progress in their IOS adoption, improvement in relationships between trading partners is required before they can adopt a more sophisticated IOS. In addition, through IOS adoption, trading partners can actually improve their relationships overtime. There has been some research that investigates relationships and how organizations progress from one level to the next level of adoption. However, these studies do not clearly define the concepts of relationship, IOS adoption and IOS adoption maturity. Furthermore, they do not adequately justify the exclusion of other variables in defining the relevant concepts and are not theoretically based. This research extends the Kurnia and Johnston (2000) process model of IOS adoption by incorporating the notion of IOS adoption maturity and reducing the scope from a supply chain to a dyadic level to enable better evaluations of IOS adoption progression. We argue that with the proposed model, the dynamics of IOS adoption maturity can be better examined empirically.

Towards Public Services and Process Integration

2013 ◽  
pp. 275-287
Author(s):  
Guillermo Infante Hernández ◽  
Aquilino A. Juan Fuente ◽  
Benjamín López Pérez ◽  
Edward Rolando Núñez-Valdéz
Keyword(s):  
Process Model ◽  
Public Services ◽  
Process Integration ◽  
Domain Specific ◽  
Modeling Environment ◽  
Proposed Model ◽  
Domain Specific Modeling ◽  
Hardware Platforms ◽  
Business Requirements ◽  
Integration Rules

Software platforms for e-government transactions may differ in developed functionalities, languages and technologies, hardware platforms, and operating systems that support them. Those differences can be found among public organizations that share common processes, services, and regulations. This scenario hinders interoperability between these organizations. Hence, to find a technique for integrating these platforms becomes a necessity. In this chapter, a rule-based domain-specific modeling environment for public services and process integration is suggested, which consists of common identified public service elements and a set of process integration rules. This approach provides the needed integration or interoperability pursued in this domain. Furthermore a service and process model is proposed to formalize the information needed for integration of both. A set of integration rules is also presented as part of the modeling environment. This set of integration rules completes the proposed model to meet the business requirements of this domain.

Understanding the Progressive Nature of Inter-Organizational Systems (IOS) Adoption

2011 ◽  
pp. 124-144
Author(s):  
Mazen Ali ◽  
Sherah Kurnia ◽  
Robert B. Johnston
Keyword(s):  
Supply Chain ◽  
Process Model ◽  
Trading Partner ◽  
Organizational Systems ◽  
Proposed Model ◽  
Trading Partners

Inter-organizational Systems (IOS) cannot be adopted by any organizations in isolation from their trading partner. Their adoption requires cooperation and collaboration between trading partners and, therefore, is reliant on the nature of relationships between the parties involved. For organizations to progress in their IOS adoption, improvement in relationships between trading partners is required before they can adopt a more sophisticated IOS. In addition, through IOS adoption, trading partners can actually improve their relationships overtime. There has been some research that investigates relationships and how organizations progress from one level to the next level of adoption. However, these studies do not clearly define the concepts of relationship, IOS adoption and IOS adoption maturity. Furthermore, they do not adequately justify the exclusion of other variables in defining the relevant concepts and are not theoretically based. This research extends the Kurnia and Johnston (2000) process model of IOS adoption by incorporating the notion of IOS adoption maturity and reducing the scope from a supply chain to a dyadic level to enable better evaluations of IOS adoption progression. We argue that with the proposed model, the dynamics of IOS adoption maturity can be better examined empirically.

scholarly journals A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

2020 ◽  
Vol 34 (05) ◽  
pp. 9098-9105
Author(s):  
Amir Veyseh ◽  
Franck Dernoncourt ◽  
Dejing Dou ◽  
Thien Nguyen
Keyword(s):  
Prior Work ◽  
Semantic Consistency ◽  
Learning Framework ◽  
Local Structures ◽  
Joint Inference ◽  
Proposed Model ◽  
Benchmark Datasets ◽  
Sequential Labeling ◽  
Sentence Classification ◽  
Model Features

Definition Extraction (DE) is one of the well-known topics in Information Extraction that aims to identify terms and their corresponding definitions in unstructured texts. This task can be formalized either as a sentence classification task (i.e., containing term-definition pairs or not) or a sequential labeling task (i.e., identifying the boundaries of the terms and definitions). The previous works for DE have only focused on one of the two approaches, failing to model the inter-dependencies between the two tasks. In this work, we propose a novel model for DE that simultaneously performs the two tasks in a single framework to benefit from their inter-dependencies. Our model features deep learning architectures to exploit the global structures of the input sentences as well as the semantic consistencies between the terms and the definitions, thereby improving the quality of the representation vectors for DE. Besides the joint inference between sentence classification and sequential labeling, the proposed model is fundamentally different from the prior work for DE in that the prior work has only employed the local structures of the input sentences (i.e., word-to-word relations), and not yet considered the semantic consistencies between terms and definitions. In order to implement these novel ideas, our model presents a multi-task learning framework that employs graph convolutional neural networks and predicts the dependency paths between the terms and the definitions. We also seek to enforce the consistency between the representations of the terms and definitions both globally (i.e., increasing semantic consistency between the representations of the entire sentences and the terms/definitions) and locally (i.e., promoting the similarity between the representations of the terms and the definitions). The extensive experiments on three benchmark datasets demonstrate the effectiveness of our approach.1

scholarly journals End-Point Prediction of Granule Moisture in a ConsiGmaTM-25 Segmented Fluid Bed Dryer

Pharmaceutics ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 452
Author(s):  
Jakob Rehrl ◽  
Stephan Sacher ◽  
Martin Horn ◽  
Johannes Khinast
Keyword(s):  
Process Model ◽  
Operating Conditions ◽  
Pharmaceutical Manufacturing ◽  
Wet Granulation ◽  
Drying Time ◽  
Proposed Model ◽  
Fluid Bed ◽  
Continuous Dryer ◽  
Process Measurements ◽  
Validation Experiments

Continuously operated pharmaceutical manufacturing lines often consist of a wet granulation unit operation, followed by a (semi-) continuous dryer. The operating conditions of the dryer are crucial for obtaining a desired final granule moisture. Commercially available dryers lack of a thorough online measurement of granule moisture during the drying process. However, this information could improve the operation of the equipment considerably, yielding a granule moisture close to the desired value (e.g., by drying time and process parameter adjustments in real-time). The paper at hand proposes a process model, which can be parameterized from a very limited number of experiments and then be used as a so-called soft sensor for predicting granule moisture. It utilizes available process measurements for the estimation of the granule moisture. The development of the model as well as parameter identification and validation experiments are provided. The proposed model paves the way for the application of sophisticated observer concepts. Possible future activities on that topic are outlined in the paper.

Process Model for an Empiracally Grounded Reference Model Construction

2011 ◽  
pp. 77-97 ◽  
Author(s):  
Frederik Ahlemann ◽  
Heike Gastl
Keyword(s):  
Literature Review ◽  
Process Model ◽  
Epistemological Beliefs ◽  
Reference Model ◽  
Real Life ◽  
Process Models ◽  
Research Projects ◽  
Ongoing Research ◽  
Reference Models ◽  
Proposed Model

This chapter stresses the importance of integrating empirical evidence in the construction process of reference models. With reference to the authors’ underly-ing epistemological beliefs, requirements for an empirically grounded process model are derived. Based on a literature review of existing process models and experience gained from three research projects, an advanced process model is proposed in order to provide concrete instructions that show how these require-ments can be met. Real-life examples from completed and ongoing research pro-jects are continuously integrated so as to contribute to the practicability of the proposed model for the reader.

An empirical model of four processes for sharing organisational knowledge

2014 ◽  
Vol 38 (2) ◽  
pp. 305-320 ◽  
Author(s):  
August Tsai
Keyword(s):  
Business Process ◽  
Empirical Model ◽  
Process Model ◽  
Value Added ◽  
Technology Infrastructure ◽  
Knowledge Application ◽  
Content Type ◽  
Proposed Model ◽  
Organisational Knowledge

Purpose – This study aims to introduce an empirical model which incorporates newsgroups, knowledge forums, knowledge assets and knowledge application processes to share organisational knowledge. Therefore it seeks to illustrate an application for integrating knowledge management (KM) into the business process. Design/methodology/approach – The Taiwanese contingent of an international certification body – also a council member of the International Organisation for Standardisation (ISO) – was selected for a case study. A hybrid technology infrastructure was designed and employed to implement the proposed model. Based on knowledge value added validation, the proposed KM model provides a set of new operating systems for sharing knowledge within an organisation. Findings – Although many theories regarding implementation of KM in organisations have been proposed and studied, an application model for practical integration of various modern principles to share organisational knowledge is strategically important. Therefore a model that integrates principal KM applications into the business process, and the measurement of the resulting benefits, has been developed. Originality/value – Knowledge is a valuable asset for an individual in today's economy; nevertheless the acquisition of such an asset relies heavily on knowledge sharing within an organisation. The author has proposed an exclusive hybrid platform with an empirical process model to address innovative approaches and practical values of KM within an organisation.

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