scholarly journals Anticoagulants and the Hemostatic System: A Primer for Occupational Stress Researchers

2021 ◽  
Vol 18 (20) ◽  
pp. 10626
Author(s):  
Eamonn Arble ◽  
Bengt B. Arnetz
Keyword(s):  
Occupational Stress ◽  
Blood Clotting ◽  
Biological Process ◽  
Occupational Functioning ◽  
System A ◽  
Hemostatic System ◽  
Response To Stress ◽  
Occupational Strain ◽  
Potential Methods ◽  
Insight Into

Anticoagulation, the body’s mechanism to prevent blood clotting, is an internal biomarker of an individual’s response to stress. Research has indicated that understanding the causes, processes, and consequences of anticoagulation can provide important insight into the experience of individuals facing emotional and occupational strain. Unfortunately, despite their importance, the mechanisms and implications of anticoagulation are unfamiliar to many researchers and practitioners working with trauma-exposed professionals. This paper provides an accessible primer on the topic of anticoagulation, including an overview of the biological process, the research connecting these processes with emotional and occupational functioning, as well as some potential methods for assessment.

Professionals freaking out: the case of accreditation in Dutch higher education

2009 ◽  
Vol 21 (5) ◽  
pp. 473-485 ◽  
Author(s):  
Everard van Kemenade ◽  
Teun W. Hardjono
Keyword(s):  
The Netherlands ◽  
Design Methodology ◽  
Iso 9000 ◽  
Preliminary Survey ◽  
External Evaluation ◽  
Content Type ◽  
Evaluation Systems ◽  
System A ◽  
Engineering And Technology ◽  
Insight Into

PurposeThe purpose of this paper is to define what factors cause willingness and/or resistance among lecturers in universities towards external evaluation systems, especially accreditation.Design/methodology/approachA model has been designed to describe possible factors of willingness and/or resistance towards accreditation based on Ajzen and Metselaar. A literature review has been undertaken on the effects of external evaluation like ISO 9000 as well as accreditation systems such as Accreditation Board for Engineering and Technology and European Quality Improvement System. A questionnaire has been administered to a group of 63 lecturers from three departments at Fontys University in The Netherlands. The results of this preliminary survey have been presented to 1,500 academics in The Netherlands and Flanders to collect empirical data.FindingsResistance to accreditation can be found in the consequences of accreditation for the work of the lecturer (workload), negative emotions (stress and insecurity); the lack of knowledge and experience (help from specialists is needed); and lack of acceptance (other paradigm).Originality/valueThe paper provides more insight into the difficulties that organizations, especially universities, have to commit their employees to external evaluation. It might be possible to generalize the findings to other professionals in other organizations. Little research in this field has been undertaken so far.

scholarly journals Machine Learning and Sensor Fusion for Estimating Continuous Energy Expenditure

AI Magazine ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 55 ◽  
Author(s):  
Nisarg Vyas ◽  
Jonathan Farringdon ◽  
David Andre ◽  
John Ivo Stivoric
Keyword(s):  
Machine Learning ◽  
Energy Expenditure ◽  
Sensor Data ◽  
Machine Learning Techniques ◽  
Sensor Technology ◽  
Health Goals ◽  
System A ◽  
Multi Sensor Data Fusion ◽  
Learning Techniques ◽  
Insight Into

In this article we provide insight into the BodyMedia FIT armband system — a wearable multi-sensor technology that continuously monitors physiological events related to energy expenditure for weight management using machine learning and data modeling methods. Since becoming commercially available in 2001, more than half a million users have used the system to track their physiological parameters and to achieve their individual health goals including weight-loss. We describe several challenges that arise in applying machine learning techniques to the health care domain and present various solutions utilized in the armband system. We demonstrate how machine learning and multi-sensor data fusion techniques are critical to the system’s success.

scholarly journals High-efficiency photocatalytic CO2 reduction in organic–aqueous system: a new insight into the role of water

RSC Advances ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 3798-3802 ◽  
Author(s):  
Jinliang Lin ◽  
Rongying Liao ◽  
Junli Xu
Keyword(s):  
High Efficiency ◽  
Co2 Reduction ◽  
Liquid System ◽  
Aqueous System ◽  
Binary Liquid System ◽  
Binary Liquid ◽  
System A ◽  
System P ◽  
Insight Into

A high efficiency photocatalytic conversion of CO2 into CO has been achieved by construction of a binary liquid system.

Intelligent Tutoring and Games (ITaG)

2010 ◽  
pp. 44-65 ◽  
Author(s):  
Danielle S. McNamara ◽  
G. Tanner Jackson ◽  
Art Graesser
Keyword(s):  
Conceptual Framework ◽  
Learning Environments ◽  
Functional Groups ◽  
Intelligent Tutoring ◽  
Learning Systems ◽  
Potential Solution ◽  
Learning Gains ◽  
Tutoring Systems ◽  
System A ◽  
Insight Into

Intelligent Tutoring Systems (ITSs) have been producing consistent learning gains for decades. The authors describe here a conceptual framework that provides a guide to how adding game-based features and components may improve the effectiveness of ITS learning environments by improving students’ motivation to engage with the system. A problem consistently faced by ITS researchers is the gap between liking and learning. ITSs effectively produce learning gains, but students often dislike interacting with the system. A potential solution to this problem lies in games. ITS researchers have begun to incorporate game-based elements within learning systems. This chapter aims to describe some of those elements, categorize them within functional groups, and provide insight into how elements within each category may affect various types of motivation.

Creating Faultable Network Models of Complex Engineered Systems

2014 ◽  
Author(s):  
Brandon M. Haley ◽  
Andy Dong ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Network Models ◽  
System Behavior ◽  
Levels Of Abstraction ◽  
Complex Engineered Systems ◽  
System A ◽  
Topological Configuration ◽  
Engineered Systems ◽  
Types Of Faults ◽  
Insight Into

This paper presents a new methodology for modeling complex engineered systems using complex networks for failure analysis. Many existing network-based modeling approaches for complex engineered systems “abstract away” the functional details to focus on the topological configuration of the system and thus do not provide adequate insight into system behavior. To model failures more adequately, we present two types of network representations of a complex engineered system: a uni-partite architectural network and a weighted bi-partite behavioral network. Whereas the architectural network describes physical inter-connectivity, the behavioral network represents the interaction between functions and variables in mathematical models of the system and its constituent components. The levels of abstraction for nodes in both network types affords the evaluation of failures involving morphology or behavior, respectively. The approach is shown with respect to a drivetrain model. Architectural and behavioral networks are compared with respect to the types of faults that can be described. We conclude with considerations that should be employed when modeling complex engineered systems as networks for the purpose of failure analysis.

scholarly journals Coordination of cohabiting phage elements supports bacteria–phage cooperation

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Tal Argov ◽  
Shai Ran Sapir ◽  
Anna Pasechnek ◽  
Gil Azulay ◽  
Olga Stadnyuk ◽  
...  
Keyword(s):  
Listeria Monocytogenes ◽  
Bacterial Pathogens ◽  
Molecular Switch ◽  
Complex Environments ◽  
Phage Tail ◽  
Bacterial Lysis ◽  
Viral Particles ◽  
Response To Stress ◽  
Insight Into

AbstractBacterial pathogens often carry multiple prophages and other phage-derived elements within their genome, some of which can produce viral particles in response to stress. Listeria monocytogenes 10403S harbors two phage elements in its chromosome, both of which can trigger bacterial lysis under stress: an active prophage (ϕ10403S) that promotes the virulence of its host and can produce infective virions, and a locus encoding phage tail-like bacteriocins. Here, we show that the two phage elements are co-regulated, with the bacteriocin locus controlling the induction of the prophage and thus its activity as a virulence-associated molecular switch. More specifically, a metalloprotease encoded in the bacteriocin locus is upregulated in response to stress and acts as an anti-repressor for CI-like repressors encoded in each phage element. Our results provide molecular insight into the phenomenon of polylysogeny and its intricate adaptation to complex environments.

High-Potential Methods of Garment Design

10.12737/2566 ◽  
2014 ◽  
Vol 8 (1) ◽  
pp. 123-128 ◽  
Author(s):  
Елена Свинцова ◽  
Elena Svintsova
Keyword(s):  
Manufacturing Process ◽  
High Potential ◽  
Potential Methods ◽  
Garment Design ◽  
Insight Into

The article offers a historical insight into the origins of the deconstruction method, outlines the principles and methods of designing through deconstruction, defines the peculiarities of the use of colour in the process of deconstruction, the application of deconstruction to the manufacturing process of garment conditioning, and the potential of the deconstruction method in terms of design

scholarly journals Changes in the Serum Cholesterol and Blood Clotting Time in Men Subjected to Cyclic Variation of Occupational Stress

Circulation ◽  
1958 ◽  
Vol 17 (5) ◽  
pp. 852-861 ◽  
Author(s):  
MEYER FRIEDMAN ◽  
RAY H. ROSENMAN ◽  
VERNICE CARROLL ◽  
Russell J. Tat
Keyword(s):  
Occupational Stress ◽  
Serum Cholesterol ◽  
Blood Clotting ◽  
Cyclic Variation ◽  
Clotting Time ◽  
Blood Clotting Time

scholarly journals A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 414 ◽  
Author(s):  
Octavio Loyola-González ◽  
Miguel Medina-Pérez ◽  
Dayton Hernández-Tamayo ◽  
Raúl Monroy ◽  
Jesús Carrasco-Ochoa ◽  
...  
Keyword(s):  
Production Cost ◽  
Biological Process ◽  
Feature Representation ◽  
Pneumatic System ◽  
Temporary Immersion Bioreactor ◽  
Temporary Immersion ◽  
System A ◽  
Contrast Pattern ◽  
Bioreactor System ◽  
Feature Values

Temporary Immersion Bioreactors (TIBs) are used for increasing plant quality and plant multiplication rates. These TIBs are actioned by mean of a pneumatic system. A failure in the pneumatic system could produce severe damages into the TIB. Consequently, the whole biological process would be aborted, increasing the production cost. Therefore, an important task is to detect failures on a temporary immersion bioreactor system. In this paper, we propose to approach this task using a contrast pattern based classifier. We show that our proposal, for detecting pneumatic failures in a TIB, outperforms other approaches reported in the literature. In addition, we introduce a feature representation based on the differences among feature values. Additionally, we collected a new pineapple micropropagation database for detecting four new types of pneumatic failures on TIBs. Finally, we provide an analysis of our experimental results together with experts in both biotechnology and pneumatic devices.

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