scholarly journals Open Innovation in Times of Covid-19: The case of Project OxyGEN

2020 ◽  
Vol 7 (1) ◽  
pp. 47-65
Author(s):  
Giovanna Lara Burbano ◽  
Keyword(s):  
Open Innovation ◽  
Collaborative Design ◽  
Low Cost ◽  
Health Crisis ◽  
Open Hardware ◽  
Scientific Support ◽  
Successful Case ◽  
The Face ◽  
Innovation Approach ◽  
Local Research

In the face of the health crisis unleashed by Covid-19, experts worldwide took on the challenge of designing a low-cost emergency ventilator that could be assembled quickly. This study analizes the successful case of the Project OxyGEN, led by the Barcelona-based design firm Protofy, which created an industrial-class emergency ventilator and obtained approval from the Spanish Ministry of Health (AEMPS) for use on patients. The project received scientific support from a local Research Hospital, and SEAT, a Volkswagen subsidiary, collaborated in the OxyGEN ventilators’ mass-production. This open-hardware project sprung into action teams in more than 32 countries involved in the collaborative design process, adopted or made an iteration of the technology. These teams collaborated with suppliers, consultants, universities, and research institutes to drive this innovation forward. The case highlights the Open Innovation approach, inter-organisational relationships between firms of different sectors with research institutions, and innovation communities.

Sustainable open innovation to address a grand challenge

2020 ◽  
Vol 122 (5) ◽  
pp. 1505-1517 ◽  
Author(s):  
Marcel Bogers ◽  
Henry Chesbrough ◽  
Robert Strand
Keyword(s):  
Open Innovation ◽  
Business Models ◽  
Business Case ◽  
Lessons Learned ◽  
Future Research ◽  
Grand Challenge ◽  
Content Type ◽  
The Face ◽  
Innovation Approach ◽  
Sustainability Program

PurposeThis paper describes the case of how the Danish beer manufacturer, Carlsberg, developed the Green Fiber Bottle as part of its sustainability program through an open innovation approach in collaboration with complementary partners. It thereby illustrates how a grand challenge associated with sustainability can be effectively addressed through open innovation and reveals the opportunities and challenges that emerge in that context.Design/methodology/approachThe paper summarizes some key elements of the case and, in particular, discusses some of the lessons learned, which can be further explored in future research, practice, and policy.FindingsThe case suggests a number of key issues that are relevant when attempting to address grand challenges, in general, and sustainability in the food and beverage (F&B) industry, in particular, namely: leveraging open innovation in the face of sustainability as a grand challenge; sustainability beyond a solid business case; opportunities and challenges in the face of new business models; the importance of early wins for addressing societal challenges for signals and scaling; and the importance of the Nordic context and long-term vision.Originality/valueThe case describes a recent (and to some extent still ongoing) initiative of how a particular F&B company has explored new approaches to developing its sustainability program. Therefore, it highlights some of the unique characteristics of this case. This paper also lays the groundwork for the establishment of “Sustainable Open Innovation” as a domain in its own right.

scholarly journals COVD-26. TELEPHONE CONSULTATIONS IN NEURO-ONCOLOGY DURING THE COVID-19 PANDEMIC: LEVELS OF PATIENT SATISFACTION AND COMPARISON WITH TRADITIONAL FACE-TO-FACE CONSULTATIONS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii26-ii26
Author(s):  
Emma Toman ◽  
Claire Goddard ◽  
Frederick Berki ◽  
William Garratt ◽  
Teresa Scott ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
University Hospitals ◽  
Health Crisis ◽  
Patient Satisfaction Questionnaire ◽  
Telephone Consultation ◽  
Exact Test ◽  
Face To Face ◽  
Significant Difference ◽  
The Face ◽  
The University

Abstract INTRODUCTION Controversy exists as to whether telephone clinics are appropriate in neurosurgical-oncology. The COVID-19 pandemic forced neuro-oncology services worldwide to re-design and at the University Hospitals Birmingham UK, telephone clinics were quickly implemented in select patients to limit numbers of patients attending hospital. It was important to determine how these changes were perceived by patients. METHODS A 20-question patient satisfaction questionnaire was distributed to patients who attended neuro-oncology clinic in person (“face-to-face”), or via the telephone. Fisher’s exact test was used to determine significance, which was set at p< 0.05. RESULTS Eighty questionnaires were distributed between June 2020 and August 2020. Overall, 50% (n=40) of patients returned the questionnaire, 50% (n=23) of face-to-face and 50% (n=17) telephone patients. Of those who received telephone consultations, 88% (n=15) felt the consultation was convenient, 88% (n=15) were satisfied with their consultation and 18% (n=3) felt they would have preferred to have a face-to-face appointment. Of those who attended clinic in person, 96% (n=22) felt their consultation was convenient, 100% (n=23) were satisfied with their consultation and 13% (n=3) would have preferred a telephone consultation. Within the face-to-face clinic attendees, only 13% (n=3) were concerned regarding the COVID risk associated with attending hospital. There was no significant difference in patient convenience or satisfaction (p=0.565 and p=0.174 respectively) between face-to-face and telephone clinics. There was no significant difference in whether patients would’ve preferred the alternative method of consultation (p > 0.999). CONCLUSION Our study suggests that careful patient selection for neuro-oncology telephone clinic is not inferior to face-to-face clinic. Telephone clinic during COVID-19 pandemic proved to be convenient, safe and effective. This global health crisis has transformed telephone neuro-oncology consultations from an experimental innovation into established practice and should be continued beyond the pandemic in select cases.

scholarly journals Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Data Transmission ◽  
System Integration ◽  
Structural Integrity ◽  
Low Cost ◽  
Data Communication ◽  
Total Cost ◽  
Design And Optimization ◽  
Successful Case

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

scholarly journals IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

2021 ◽  
Vol 11 (8) ◽  
pp. 3495
Author(s):  
Shabir Hussain ◽  
Yang Yu ◽  
Muhammad Ayoub ◽  
Akmal Khan ◽  
Rukhshanda Rehman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Face Mask ◽  
World Health ◽  
Rapid Screening ◽  
Screening System ◽  
Source Of Infection ◽  
The Face ◽  
Health Organization ◽  
Vaccine Distribution

The spread of COVID-19 has been taken on pandemic magnitudes and has already spread over 200 countries in a few months. In this time of emergency of COVID-19, especially when there is still a need to follow the precautions and developed vaccines are not available to all the developing countries in the first phase of vaccine distribution, the virus is spreading rapidly through direct and indirect contacts. The World Health Organization (WHO) provides the standard recommendations on preventing the spread of COVID-19 and the importance of face masks for protection from the virus. The excessive use of manual disinfection systems has also become a source of infection. That is why this research aims to design and develop a low-cost, rapid, scalable, and effective virus spread control and screening system to minimize the chances and risk of spread of COVID-19. We proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG) for all public places entrance. The SSDWG is designed to do rapid screening, including temperature measuring using a contact-free sensor and storing the record of the suspected individual for further control and monitoring. Our proposed IoT-based screening system also implemented real-time deep learning models for face mask detection and classification. This module classified individuals who wear the face mask properly, improperly, and without a face mask using VGG-16, MobileNetV2, Inception v3, ResNet-50, and CNN using a transfer learning approach. We achieved the highest accuracy of 99.81% while using VGG-16 and the second highest accuracy of 99.6% using MobileNetV2 in the mask detection and classification module. We also implemented classification to classify the types of face masks worn by the individuals, either N-95 or surgical masks. We also compared the results of our proposed system with state-of-the-art methods, and we highly suggested that our system could be used to prevent the spread of local transmission and reduce the chances of human carriers of COVID-19.

Giving when it costs

2017 ◽  
Vol 35 (5) ◽  
pp. 722-742 ◽  
Author(s):  
Lisa C. Day ◽  
Emily A. Impett
Keyword(s):  
Romantic Relationships ◽  
Low Cost ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Daily Experience ◽  
Self Construal ◽  
Interdependent Self ◽  
The Face ◽  
Willingness To Sacrifice

Do some people exhibit a greater willingness to sacrifice in romantic relationships and derive more satisfaction from doing so, even in the face of high costs? In a cross-sectional study and a daily experience study, we show that people low in interdependent self-construal were less willing to sacrifice when the costs were relatively high, whereas people high in interdependent self-construal were equally willing to make high- and low-cost sacrifices. Further, when people low in interdependent self-construal chose to sacrifice, they felt less authentic when the costs were high, which in turn, detracted from their satisfaction with sacrifice. In contrast, people high in interdependent self-construal did not feel less authentic and were buffered against feeling less satisfied when making more costly sacrifices. The findings identify a set of individuals who are more willing to sacrifice, even in the face of high costs, and who feel more satisfied and authentic when doing so.

Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware

2019 ◽  
Vol 73 ◽  
pp. 167-179 ◽  
Author(s):  
Rafaela C. de Freitas ◽  
Rodrigo Alves ◽  
Abel G. da Silva Filho ◽  
Ricardo E. de Souza ◽  
Byron L.D. Bezerra ◽  
...  
Keyword(s):  
Surface Electromyography ◽  
Low Cost ◽  
Proof Of Concept ◽  
Extreme Learning Machines ◽  
Open Hardware ◽  
Learning Machines

scholarly journals Managing Cancer Care During the COVID-19 Pandemic: Agility and Collaboration Toward a Common Goal

2020 ◽  
Vol 18 (4) ◽  
pp. 366-369 ◽  
Author(s):  
Masumi Ueda ◽  
Renato Martins ◽  
Paul C. Hendrie ◽  
Terry McDonnell ◽  
Jennie R. Crews ◽  
...  
Keyword(s):  
United States ◽  
Cancer Treatment ◽  
Cancer Care ◽  
Rapid Change ◽  
The United States ◽  
Shared Vision ◽  
Health Crisis ◽  
Global Pandemic ◽  
The Face ◽  
Snohomish County

The first confirmed case of coronavirus disease 2019 (COVID-19) in the United States was reported on January 20, 2020, in Snohomish County, Washington. At the epicenter of COVID-19 in the United States, the Seattle Cancer Care Alliance, Fred Hutchinson Cancer Research Center, and University of Washington are at the forefront of delivering care to patients with cancer during this public health crisis. This Special Feature highlights the unique circumstances and challenges of cancer treatment amidst this global pandemic, and the importance of organizational structure, preparation, agility, and a shared vision for continuing to provide cancer treatment to patients in the face of uncertainty and rapid change.

scholarly journals DAMPAK PENDEKATAN OPEN INNOVATION TERHADAP KINERJA INOVASI PERUSAHAAN DI INDONESIA

2018 ◽  
Vol 15 (2) ◽  
pp. 235-259
Author(s):  
Siti Fadhilah
Keyword(s):  
Significant Influence ◽  
Open Innovation ◽  
Innovation Performance ◽  
Business World ◽  
Technology Acquisition ◽  
Innovation Activities ◽  
Industrial Sectors ◽  
New Ideas ◽  
Service Sectors ◽  
Innovation Approach

Open innovation is an approach that involves not only internal company, but also external parties in developing and integrating new ideas optimally for the benefit of the company. This approach is more applied by companies in innovating to cope with the business world whom very competitive. However, research through this approach is still minimal and the concept has not been fully adopted in Indonesia. Therefore, the purpose of this research is to know how the influence of open innovation approach and the factors supporting the development of innovation on innovation performance in Indonesian companies. The scope of this research is Indonesian companies engaged in all industrial sectors (both manufacturing and service sectors), which conducts innovation activities for the last 3 years, from 2011 to 2013. The research method is quantitative with statistical data analysis descriptive and inferential ie regression analysis. The result of the research shows that the open innovation approach model has a significant influence on the innovation performance of the company, but only two of the three variables approach are inter-organizational collaboration and technology acquisition which has significant influence. For both factors supporting the development of innovation ie the source of information (both internal and external) and internal R D, factors that have a significant influence on innovation performance of the company only internal R D alone.

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