Control Strategies for Reactive Extrusion of Polypropylene by Peroxide Degradation A Brief Review and an Experimental Study

2021 ◽  
Vol 36 (5) ◽  
pp. 472-498
Author(s):  
S. Wolf ◽  
J. Miethlinger

Abstract Industry 4.0 and digitalization are widely argued for the future success of numerous industrial solutions. Big data management might lead to the assumption that every issue can be solved numerically without any physical background. To some extent, this strategy will help within the plastics industry in general and in the extrusion technology in particular. However, a deep process knowledge together with process-relevant sensors, as well as the right process arrangements within the processing chain combined with smart data mining methods will be still the key success of industry 4.0. This presentation illustrates, based on a brief review on existing control strategies (Part 1), including sensory and predictive control models for reactive extrusion applied at a real-life on-site best practice project (Part 2), possibilities in combination of process tasks with digitalization approaches for PP-Polymer production. Specifically, rheological research conducted with a novel, patented multi-point rheometer (part 3), will provide a deeper insight into dynamic processes such as reactive extrusion. With those results and derivations thereof, improvements in predictive process control in addition to artificial control systems are made and might even lead to further interesting opportunities.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Meir Meshulam ◽  
Liat Hasenfratz ◽  
Hanna Hillman ◽  
Yun-Fei Liu ◽  
Mai Nguyen ◽  
...  

AbstractDespite major advances in measuring human brain activity during and after educational experiences, it is unclear how learners internalize new content, especially in real-life and online settings. In this work, we introduce a neural approach to predicting and assessing learning outcomes in a real-life setting. Our approach hinges on the idea that successful learning involves forming the right set of neural representations, which are captured in canonical activity patterns shared across individuals. Specifically, we hypothesized that learning is mirrored in neural alignment: the degree to which an individual learner’s neural representations match those of experts, as well as those of other learners. We tested this hypothesis in a longitudinal functional MRI study that regularly scanned college students enrolled in an introduction to computer science course. We additionally scanned graduate student experts in computer science. We show that alignment among students successfully predicts overall performance in a final exam. Furthermore, within individual students, we find better learning outcomes for concepts that evoke better alignment with experts and with other students, revealing neural patterns associated with specific learned concepts in individuals.


Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Mansoor Ahmed Soomro ◽  
Mohd Hizam-Hanafiah ◽  
Nor Liza Abdullah ◽  
Mohd Helmi Ali ◽  
Muhammad Shahar Jusoh

Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Weikang Xu ◽  
Zhentao Zhang ◽  
Xiaomei Cai ◽  
Yazhen Hong ◽  
Tianliang Lin ◽  
...  

AbstractEffective treatment of frequent oil spills and endless discharged oily wastewater is crucial for the ecosystem and human health. In the past two decades, the collection of oil from water surface has been widely studied through the simple fabrication of superhydrophobic meshes with various coating materials, but little attention is paid to the design aspects of the meshes based oil-collecting device and practical oil collection. Here, 3D-printing devices with different configurations of (super)hydrophobic meshes, circular truncated cone (CTC), cylinder and inverted CTC, and the same inverted cone-shaped structure (below the meshes for temporary oil storage) are investigated. Results demonstrate that the CTC meshes based device especially for an oblate one not only shows higher stability and discharge of the collected oils than previous reports, but also allows floating oils to enter the (super)hydrophobic mesh faster. We anticipate that future success in developing high-performance (super)hydrophobic meshes and the further optimization of the CTC mesh-based device parameters will make our proposed device more practical for the treatment of real-life oil spills.


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4141
Author(s):  
Wouter Houtman ◽  
Gosse Bijlenga ◽  
Elena Torta ◽  
René van de Molengraft

For robots to execute their navigation tasks both fast and safely in the presence of humans, it is necessary to make predictions about the route those humans intend to follow. Within this work, a model-based method is proposed that relates human motion behavior perceived from RGBD input to the constraints imposed by the environment by considering typical human routing alternatives. Multiple hypotheses about routing options of a human towards local semantic goal locations are created and validated, including explicit collision avoidance routes. It is demonstrated, with real-time, real-life experiments, that a coarse discretization based on the semantics of the environment suffices to make a proper distinction between a person going, for example, to the left or the right on an intersection. As such, a scalable and explainable solution is presented, which is suitable for incorporation within navigation algorithms.


Ultrasound ◽  
2017 ◽  
Vol 25 (1) ◽  
pp. 53-57 ◽  
Author(s):  
Susan C Westerway ◽  
Jocelyne M Basseal

Best practice guidelines for the disinfection of ultrasound transducers and infection prevention in ultrasound departments are generally recommended by either government health groups or the ultrasound societies of individual countries. The literature shows a wide variance in not only transducer cleaning methods but basic hygiene practices in the ultrasound workplace. This paper describes results from a UK survey of disinfection of ultrasound transducers and hygiene practice in the workplace. The survey revealed that some ultrasound practitioners did not follow current guidelines with regard to the correct disinfection method of transducers, cords or ultrasound machine keyboards. Furthermore, the survey exposed the lack of training from the product manufacturers on how to use the disinfection product appropriately. These inconsistencies may be responsible for compliance issues and highlight the need for an awareness campaign and a unified approach to infection control by ultrasound practitioners.


Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Shelley Sharp ◽  
Elizabeth Linkewich ◽  
Jacqueline Willems ◽  
Nicola Tahair ◽  
Charissa Levy ◽  
...  

Background: A regional Stroke Report Card identified poor performance on system efficiency, effectiveness, and integration of stroke best practice. This engaged regional funders and 17 organizations (11 acute, 6 rehab) to collaborate in stroke system planning. The focus included stroke unit care and access to timely and appropriate rehabilitation, including increased access for severe stroke. Changes in acute care, including pre-hospital, have facilitated access to stroke unit care in the city. A model of patient flow from acute care was needed to understand other system capacity needs. Purpose: To use best practice and benchmarks to delineate post-acute patient flow and facilitate alignment of resources for inpatient rehabilitation. Methods: Administrative data from national reporting and local rehab referral system databases were used to review current system usage from acute care. A model of proportional distribution of cases from acute, specifically to inpatient rehab, was established using provincial benchmarks, evidence informed targets, and organization market share of total inpatient rehab system capacity. Iterative discussions were required to confirm the organizations’ commitment to stroke best practice. New volume and case mix changes were applied to determine capacity and resource planning needs across organizations. Results: The best practice model, approved by all stakeholders, proposes 40% of stroke patients discharged alive from acute care should access inpatient, 13% outpatient rehabilitation and 6% to Complex Continuing Care and Long Term Care. Current practice is 26%, <5% and 13% respectively. A projected volume increase of 278 patients is distributed across 5/6 rehab providers. This results in a total proportional system shift from 20% (n=160) to 41.5% (n =446) of severe patients receiving access to high intensity rehab. A reduction in the overall proportion of moderate and mild stroke patients from 65% (519) to 49.5% (n=534) and 15% (n=119) to 9% (n=96) respectively. Conclusion: Significant investment/redistribution of resources within the system is required to support patient flow and provide care in the right place at the right time. System funder support is critical to create a quality of care (best practice) system.


2004 ◽  
Vol 28 (4) ◽  
pp. 114-116 ◽  
Author(s):  
Gavin Rush ◽  
Declan Lyons

The human rights group Amnesty International has recently expanded the range of rights it promotes to include the right of persons with mental illness to enjoy the best available mental health care. The Irish section of Amnesty has launched a report and promotional campaign on the rights of persons with mental illness, using internationally recognised norms of best practice reflected in international conventions that generate binding legal obligations of the Irish state. The report is critical of piecemeal reforms and inadequate resourcing of mental health services, and calls for a more comprehensive implementation of the recommendations of domestic and international reports.


2015 ◽  
Vol Volume 111 (Number 11/12) ◽  
Author(s):  
Elly S. Grossman ◽  
Nigel J. Crowther ◽  
◽  
◽  

Abstract South Africa is experiencing a steep rise in postgraduate candidature and a backlog in research training and supervision. Co-supervision is a means to address such challenges. This study investigated how co-supervision could effectively and efficiently be implemented within a Faculty of Health Sciences. Supervisors and postgraduates brainstormed co-supervisory practice to identify: (1) the reasons for co-supervision, (2) what co-supervisors should discuss to facilitate their interactions and (3) how best to initiate the novice supervisor into supervisory practice. Co-supervisors are formally appointed for different reasons and all co-supervisory activities should be directed towards meeting the purpose of that appointment. Points to consider in facilitating a co-supervisor memorandum of understanding and novice supervisor training were discussed. Our findings provide suggestions to develop accountable co-supervisory practices, enhance novice supervisor training and to design discipline-specific best practice policy at institutional level to enable a common understanding of co-supervisory roles and responsibilities. Threats to effective co-supervision identified were the implications of co-supervision in staff promotion, inequitable workload recognition and no official acknowledgement of informal supervisory activities. Unless these issues are addressed, the full potential of co-supervision will remain unrealised. Supervision pedagogy and research teaching is a sophisticated skill worthy of professionalisation.


2017 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Alisa Sadiku

Learning new vocabulary compromises a significant factor for success within language learning since without the adequate knowledge of words and their meaning, learners are not able to use the target language efficiently. Moreover, vocabulary tends to be forgotten if it is not acquired and used through the right methods that will provide learners with language inputs in genuine target language environment. In this regard, the increasing access to different multimedia and technology resources facilitate spontaneous vocabulary acquisition for the contemporary age learners. In particular, movies with subtitles can be a great tool in bringing students closer to authentic real life communication vocabulary. As a result, previous studies have found out several benefits of using subtitled movies by confirming that subtitles indeed improve vocabulary development.


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