Inverse planning for interstitial gynecologic template brachytherapy: truly anatomy-based planning

International Nuclear Information System (INIS)

Lessard, Etienne; Hsu, I-Chou; Pouliot, Jean

2002-01-01

Purpose: Commercially available optimization schemes generally result in an undesirable dose distribution, because of the particular shapes of tumors extending laterally from the tandem. Dose distribution is therefore manually obtained by adjusting relative dwell time values until an acceptable solution is found. The objective of this work is to present the clinical application of an inverse planning dose optimization tool for the automatic determination of source dwell time values in the treatment of interstitial gynecologic templates. Methods and Materials: In cases where the tumor extends beyond the range of the tandem-ovoid applicator, catheters as well as the tandem are inserted into the paravaginal and parametrial region in an attempt to cover the tumor volume. CT scans of these patients are then used for CT-based dose planning. Dose distribution is obtained manually by varying the relative dwell times until adequate dose coverage is achieved. This manual planning is performed by an experienced physician. In parallel, our in-house inverse planning based on simulated annealing is used to automatically determine which of all possible dwell positions will become active and to calculate the dwell time values needed to fulfill dose constraints applied to the tumor volume and to each organ at risk. To compare the results of these planning methods, dose-volume histograms and isodose distributions were generated for the target and each organ at risk. Results: This procedure has been applied for the dose planning of 12 consecutive interstitial gynecologic templates cases. For all cases, once the anatomy was contoured, the routine of inverse planning based on simulated annealing found the solution to the dose constraints within 1 min of CPU time. In comparison, manual planning took more than 45 min. The inverse planning-generated plans showed improved protection to organs at risk for the same coverage compared to manual planning. Conclusion: This inverse planning tool

Towards consumer driven and innovative fruit supply chains

NARCIS (Netherlands)

Wiersinga, R.C.; Hiller, S.R.C.H.; Zimmerman, K.L.

2012-01-01

This paper aims to identify supply chain organization and management structures that maximize innovation in consumer driven fruit supply chains with the ultimate goal of increasing European fruit consumption. Data was collected on the chain organization, management structures and innovativeness of

Towards a conceptual framework for Experience-Driven Innovation

NARCIS (Netherlands)

Schifferstein, H.N.J.; Kleinsmann, M.S.; Jepma, E.J.

2012-01-01

Companies that aim to evoke specific experiences among their customers, should not only modify their design process, but also need to reorganize their innovation processes. Experience-driven innovation has implications on at least three levels in the organization: company, brand, and product/service

Data-Driven Model Order Reduction for Bayesian Inverse Problems

KAUST Repository

Cui, Tiangang; Youssef, Marzouk; Willcox, Karen

2014-01-01

One of the major challenges in using MCMC for the solution of inverse problems is the repeated evaluation of computationally expensive numerical models. We develop a data-driven projection- based model order reduction technique to reduce

Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators.

Science.gov (United States)

Xu, Wenjun; Chen, Jie; Lau, Henry Y K; Ren, Hongliang

2017-09-01

Accurate motion control of flexible surgical manipulators is crucial in tissue manipulation tasks. The tendon-driven serpentine manipulator (TSM) is one of the most widely adopted flexible mechanisms in minimally invasive surgery because of its enhanced maneuverability in torturous environments. TSM, however, exhibits high nonlinearities and conventional analytical kinematics model is insufficient to achieve high accuracy. To account for the system nonlinearities, we applied a data driven approach to encode the system inverse kinematics. Three regression methods: extreme learning machine (ELM), Gaussian mixture regression (GMR) and K-nearest neighbors regression (KNNR) were implemented to learn a nonlinear mapping from the robot 3D position states to the control inputs. The performance of the three algorithms was evaluated both in simulation and physical trajectory tracking experiments. KNNR performed the best in the tracking experiments, with the lowest RMSE of 2.1275 mm. The proposed inverse kinematics learning methods provide an alternative and efficient way to accurately model the tendon driven flexible manipulator. Copyright © 2016 John Wiley & Sons, Ltd.

AI-guided parameter optimization in inverse treatment planning

International Nuclear Information System (INIS)

Yan Hui; Yin Fangfang; Guan Huaiqun; Kim, Jae Ho

2003-01-01

An artificial intelligence (AI)-guided inverse planning system was developed to optimize the combination of parameters in the objective function for intensity-modulated radiation therapy (IMRT). In this system, the empirical knowledge of inverse planning was formulated with fuzzy if-then rules, which then guide the parameter modification based on the on-line calculated dose. Three kinds of parameters (weighting factor, dose specification, and dose prescription) were automatically modified using the fuzzy inference system (FIS). The performance of the AI-guided inverse planning system (AIGIPS) was examined using the simulated and clinical examples. Preliminary results indicate that the expected dose distribution was automatically achieved using the AI-guided inverse planning system, with the complicated compromising between different parameters accomplished by the fuzzy inference technique. The AIGIPS provides a highly promising method to replace the current trial-and-error approach

From design education to user-driven innovation and back again

DEFF Research Database (Denmark)

Tollestrup, Christian; Eriksen, Kaare

2012-01-01

Can distilled design methods for non-designers to user-driven innovation inform design education of Industrial Designers? In 2010 a project on employee driven innovation in the Hospital Sector with Aalborg University and Aalborg Hospital provided 35 participants from all over the hospital...... of potentials and problems to systematic ideation. This paper compares the use these methods in the two settings and especially the problem framing is problematic for both employees and students. For each method strengths and weakness in both situations are outlined. Finally it is concluded that the experiment...... of taking the tools made for employee-driven innovation back into the education stage without any change and without the full-facilitated support from the project setting shows that introducing tools without the mind-set is challenging the very value of these tools....

A dosimetric comparison between traditionally planned and inverse planned radiation therapy of non-small cell lung cancer

International Nuclear Information System (INIS)

Wu, V.W.C.; Sham, J.S.T.; Kwong, D.L.W.

2003-01-01

This study applied inverse planning in 3-dimensional conformal radiation therapy (3DCRT) of non-small cell lung cancer (NSCLC) patients and evaluated its dosimetric results by comparison with the forward planning of 3DCRT and inverse planning of intensity modulated radiotherapy (IMRT). For each of the 15 NSCLC patients recruited, the forward 3DCRT, inverse 3DCRT and inverse EVIRT plans were produced using the FOCUS treatment planning system. The dosimetric results and the planner's time of all treatment plans were recorded and compared. The inverse 3DCRT plans demonstrated the best target dose homogeneity among the three planning methods. The tumour control probability of the inverse 3DCRT plans was similar to the forward plans (p 0.217) but inferior to the IMRT plans (p < 0.001). A similar pattern was observed in uncomplicated tumour control. The average planning time for the inverse 3DCRT plans was the shortest and its difference was significant compared with the forward 3DCRT plans (p < 0.001) but not with the IMRT plans (p = 0.276). In conclusion, inverse planning for 3DCRT is a reasonable alternative to the forward planning for NSCLC patients with a reduction of the planner's time. However, further dose escalation and improvement of tumour control have to rely on IMRT. Copyright (2003) Australian Institute of Radiography

Data-Driven Model Order Reduction for Bayesian Inverse Problems

KAUST Repository

Cui, Tiangang

2014-01-06

One of the major challenges in using MCMC for the solution of inverse problems is the repeated evaluation of computationally expensive numerical models. We develop a data-driven projection- based model order reduction technique to reduce the computational cost of numerical PDE evaluations in this context.

Significant and Basic Innovations in Urban Planning

Science.gov (United States)

Kolyasnikov, V. A.

2017-11-01

The article considers the development features of the innovative urban planning in the USSR and Russia in XVIII - XX centuries. Innovative urban planning is defined as an activity on innovations creation and their implementation to obtain a socio-economic, political, environmental or other effect. In the course of urban development history this activity represents a cyclic wave process in which there are phases of rise and fall. The study of cyclic waves in the development of innovative urban planning uses the concept of basic and epochal innovations selection. This concept was developed by scientists for the study of cyclic wave processes in economics. Its adaptation to the conditions of innovative urban planning development allows one to introduce the concept of “basic innovation” and “significant innovation” in the theory and practice of settlement formation and their systems as well as to identify opportunities to highlight these innovations in the history of Russian urban planning. From these positions, six innovation waves committed to the urban development over the past 300 years are being investigated. The observed basic innovations in the domestic urban area show that urban development is a vital area for ensuring the country’s geopolitical security. Basic innovations are translated in time and modernized under new conditions of urban planning development. In this regard, we can predict the development of four basic innovations in post-Soviet Russia.

Knowledge management driven leadership, culture and innovation success – an integrative model

OpenAIRE

Zieba, M.; Schivinski, Bruno

2015-01-01

Purpose - This article examines the relation between knowledge management (KM) driven leadership, culture and innovation success of knowledge-intensive small and medium sized companies. By building on the previously reported research on leadership, culture, innovation , and knowledge management, we synergistically integrate d KM-driven leadership and innovation success while exploring the meditational role of culture in that. Design/methodology/approach - A conceptual model comprising three c...

Mastering Technologies in Design-Driven Innovation

DEFF Research Database (Denmark)

Dell'era, Claudio; Marchesi, Alessio; Verganti, Roberto

2010-01-01

Only a few companies have mastered the design-driven approach to innovation. This paper examines what it means to make design a central part of the business process, able to add value to products and create new markets. More specifically, it focuses on the interplay between the functional and sem...

Strategic solutions of business innovation-driven growth mainstreaming

OpenAIRE

Smolinska, N. V.

2013-01-01

The method of development of the business innovation capacity and corporate culture level evaluation, that allows identification of this level growth or deterioration within the specific period of time, is the key problem of the article. The data received permit to work out the matrix “the level of corporate culture vs. the level of innovation capacity” of the business in order to reveal the business’ position in this matrix and select the innovation-driven growth strategy of this business....

KNMI DataLab experiences in serving data-driven innovations

Science.gov (United States)

Noteboom, Jan Willem; Sluiter, Raymond

2016-04-01

Climate change research and innovations in weather forecasting rely more and more on (Big) data. Besides increasing data from traditional sources (such as observation networks, radars and satellites), the use of open data, crowd sourced data and the Internet of Things (IoT) is emerging. To deploy these sources of data optimally in our services and products, KNMI has established a DataLab to serve data-driven innovations in collaboration with public and private sector partners. Big data management, data integration, data analytics including machine learning and data visualization techniques are playing an important role in the DataLab. Cross-domain data-driven innovations that arise from public-private collaborative projects and research programmes can be explored, experimented and/or piloted by the KNMI DataLab. Furthermore, advice can be requested on (Big) data techniques and data sources. In support of collaborative (Big) data science activities, scalable environments are offered with facilities for data integration, data analysis and visualization. In addition, Data Science expertise is provided directly or from a pool of internal and external experts. At the EGU conference, gained experiences and best practices are presented in operating the KNMI DataLab to serve data-driven innovations for weather and climate applications optimally.

Data-Driven Diffusion Of Innovations: Successes And Challenges In 3 Large-Scale Innovative Delivery Models.

Science.gov (United States)

Dorr, David A; Cohen, Deborah J; Adler-Milstein, Julia

2018-02-01

Failed diffusion of innovations may be linked to an inability to use and apply data, information, and knowledge to change perceptions of current practice and motivate change. Using qualitative and quantitative data from three large-scale health care delivery innovations-accountable care organizations, advanced primary care practice, and EvidenceNOW-we assessed where data-driven innovation is occurring and where challenges lie. We found that implementation of some technological components of innovation (for example, electronic health records) has occurred among health care organizations, but core functions needed to use data to drive innovation are lacking. Deficits include the inability to extract and aggregate data from the records; gaps in sharing data; and challenges in adopting advanced data functions, particularly those related to timely reporting of performance data. The unexpectedly high costs and burden incurred during implementation of the innovations have limited organizations' ability to address these and other deficits. Solutions that could help speed progress in data-driven innovation include facilitating peer-to-peer technical assistance, providing tailored feedback reports to providers from data aggregators, and using practice facilitators skilled in using data technology for quality improvement to help practices transform. Policy efforts that promote these solutions may enable more rapid uptake of and successful participation in innovative delivery system reforms.

Learning from Low Income Market-driven Innovations and Social ...

International Development Research Centre (IDRC) Digital Library (Canada)

Learning from Low Income Market-driven Innovations and Social Entrepreneurship in India. A social enterprise is one that uses innovation, finance and business acumen in a business setting to produce social outcomes such as poverty alleviation, health benefits or social inclusion. Social enterprises generate products and ...

User driven innovation in mobile technologies?

DEFF Research Database (Denmark)

Larsen, Casper Schultz; Koch, Christian

2007-01-01

by systems already in function. Stories of prior business successes can be an important tool to ensure further innovative investments since lack of enterprise strategies is often an obstacle for innovation, especially user driven. Both small and large software houses develops dedicated software for coupling...... technology systems relying on the concept of affordance. This paper examines how innovation processes mediate between user orientations and technology offers. There is a great potential for mobile handheld ICT-systems to support numerous work processes in the AEC-industry and this can be substantiated...... site practises, and headquarters - inspired by specific user needs for optimizing work processes. The most important mechanisms evoked for creating the mediating found in the paper are ‘hybrids’ where professionals from AEC establishes a software house, developing ICT-products for specific on...

Inverse vs. forward breast IMRT planning

International Nuclear Information System (INIS)

Mihai, Alina; Rakovitch, Eileen; Sixel, Katharina; Woo, Tony; Cardoso, Marlene; Bell, Chris; Ruschin, Mark; Pignol, Jean-Philippe

2005-01-01

Breast intensity-modulated radiation therapy (IMRT) improves dose distribution homogeneity within the whole breast. Previous publications report the use of inverse or forward dose optimization algorithms. Because the inverse technique is not widely available in commercial treatment planning systems, it is important to compare the 2 algorithms. The goal of this work is to compare them on a prospective cohort of 30 patients. Dose distributions were evaluated on differential dose-volume histograms using the volumes receiving more than 105% (V 105 ) and 110% (V 110 ) of the prescribed dose, and on the maximum dose (D max ) or hot spot and the sagittal dose gradient (SDG) being the gradient between the dose on inframammary crease and the dose prescribed. The data were analyzed using Wilcoxon signed rank test. The inverse planning significantly improves the V 105 (mean value 9.7% vs. 14.5%, p = 0.002), and the V 110 (mean value 1.4% vs. 3.2%, p = 0.006). However, the SDG is not statistically significantly different for either algorithm. Looking at the potential impact on skin acute reaction, although there is a significant reduction of V 110 using an inverse algorithm, it is unlikely this 1.6% volume reduction will present a significant clinical advantage over a forward algorithm. Both algorithms are equivalent in removing the hot spots on the inframammary fold, where acute skin reactions occur more frequently using a conventional wedge technique. Based on these results, we recommend that both forward and inverse algorithms should be considered for breast IMRT planning

Employee-driven Innovation in Welfare Services

Directory of Open Access Journals (Sweden)

Thomas Wihlman

2014-05-01

Full Text Available There is a growing interest in both employee-driven innovation (EDI and innovation in welfare services, but a lack of empirical studies addressing innovation from the employee perspective. Accordingly, this study was designed to contribute with well-grounded empirical knowledge, aiming to explore the barriers to and opportunities for participation in innovation experienced by employees of the Swedish welfare services. In order to reach the aim, a qualitative thematic analysis of 27 semi-structured interviews with employees in four municipalities was performed. The study identified three main themes, with a great impact on the innovative performance of the studied organizations: support, including leadership and innovation processes; development, including creativity and learning; and organizational culture, which includes attitudes and communication, all essential ingredients in EDI. Experienced barriers for innovation were unclear or non-existing innovation processes with ambiguous goals, insufficient learning, and deficient organizational slack, thus creating a tension between day-to-day work and innovation and hindering reflection and exploration. Attitudes of colleagues and lack of communication were also barriers to implementing innovation, suggesting the need for better management support for a communicative and open culture. Opportunities were found, including commitment to innovation and willingness to try new ideas, but the employees must be given the mandate and sufficient time to develop the potential that emerges from continuous learning, time for reflection, and user dialogue. The conclusion was that incremental innovations existed, but the full potential of these did not benefit the entire organization due to inadequate communication and lack of innovation processes. The study improves our understanding of how employees regard their involvement in innovation. It also discusses how to make better use of employees’ resources in

Real-time inverse planning for Gamma KnifeTM radiosurgery

International Nuclear Information System (INIS)

Wu, Q. Jackie; Chankong, Vira; Jitprapaikulsarn, Suradet; Wessels, Barry W.; Einstein, Douglas B.; Mathayomchan, Boonyanit; Kinsella, Timothy J.

2003-01-01

The challenges of real-time Gamma Knife TM inverse planning are the large number of variables involved and the unknown search space a priori. With limited collimator sizes, shots have to be heavily overlapped to form a smooth prescription isodose line that conforms to the irregular target shape. Such overlaps greatly influence the total number of shots per plan, making pre-determination of the total number of shots impractical. However, this total number of shots usually defines the search space, a pre-requisite for most of the optimization methods. Since each shot only covers part of the target, a collection of shots in different locations and various collimator sizes selected makes up the global dose distribution that conforms to the target. Hence, planning or placing these shots is a combinatorial optimization process that is computationally expensive by nature. We have previously developed a theory of shot placement and optimization based on skeletonization. The real-time inverse planning process, reported in this paper, is an expansion and the clinical implementation of this theory. The complete planning process consists of two steps. The first step is to determine an optimal number of shots including locations and sizes and to assign initial collimator size to each of the shots. The second step is to fine-tune the weights using a linear-programming technique. The objective function is to minimize the total dose to the target boundary (i.e., maximize the dose conformity). Results of an ellipsoid test target and ten clinical cases are presented. The clinical cases are also compared with physician's manual plans. The target coverage is more than 99% for manual plans and 97% for all the inverse plans. The RTOG PITV conformity indices for the manual plans are between 1.16 and 3.46, compared to 1.36 to 2.4 for the inverse plans. All the inverse plans are generated in less than 2 min, making real-time inverse planning a reality

Magnetization Transfer Effects on the Efficiency of Flow-driven Adiabatic Fast Passage Inversion of Arterial Blood

OpenAIRE

Hernandez-Garcia, Luis; Lewis, David P.; Moffat, Bradford; Branch, Craig A.

2007-01-01

Continuous arterial spin labeling experiments typically use flow-driven adiabatic fast passage (AFP) inversion of the arterial blood water protons. In this article, we measure the effect of magnetization transfer in blood and how it affects the inversion label. We use modified Bloch equations to model flow-driven adiabatic inversion in the presence of magnetization transfer in blood flowing at velocities from 1 to 30 cm/s in order to explain our findings. Magnetization transfer results in a r...

Gait Planning Research for an Electrically Driven Large-Load-Ratio Six-Legged Robot

Directory of Open Access Journals (Sweden)

Hong-Chao Zhuang

2017-03-01

Full Text Available Gait planning is an important basis for the walking of a legged robot. To improve the walking stability of multi-legged robots and to reduce the impact force between the foot and the ground, gait planning strategies are presented for an electrically driven large-load-ratio six-legged robot. First, the configuration and walking gait of the electrically driven large-load-ratio six-legged robot are designed. The higher-stable swing sequences of legs and typical walking modes are respectively obtained. Based on the Denavit–Hartenberg (D–H method, the analyses of the forward and inverse kinematics are implemented. The mathematical models of the articulated rotation angles are respectively established. In view of the buffer device installed at the end of shin to decrease the impact force between the foot and the ground, an initial lift height of the leg is brought into gait planning when the support phase changes into the transfer phase. The mathematical models of foot trajectories are established. Finally, a prototype of the electrically driven large-load-ratio six-legged robot is developed. The experiments of the prototype are carried out regarding the aspects of the walking speed and surmounting obstacle. Then, the reasonableness of gait planning is verified based on the experimental results. The proposed strategies of gait planning lay the foundation for effectively reducing the foot–ground impact force and can provide a reference for other large-load-ratio multi-legged robots.

Key Mechanisms for Employee-Driven Innovation in Governmental Client Organisations

DEFF Research Database (Denmark)

Sørensen, Henrik; Wandahl, Søren; Faber, Lene

2018-01-01

the mechanisms of organisational trust, innovation safety, organisational practices, cultural settings and the recognition and rewards structure to motivate employees. The decision-making procedures should be transparent especially to the idea-owner and the employees involved, and the implementation and putting......In order to ensure that knowledge and ideas are transformed into innovative contributions, a systematic approach is important. The aim of this research was to identify the specific mechanisms that are key to implementing an innovation process model when conducting Employee-driven Innovation...... into practice should be fast progressed phases in the innovation process....

Class solution for inversely planned permanent prostate implants to mimic an experienced dosimetrist

International Nuclear Information System (INIS)

Lessard, Etienne; Kwa, Stefan L. S.; Pickett, Barby; Roach, Mach III; Pouliot, Jean

2006-01-01

The purpose of this paper is to present a method for the selection of inverse planning parameters and to establish a set of inverse planning parameters (class solution) for the inverse planning included in a commercial permanent prostate implant treatment planning system. The manual planning of more than 750 patients since 1996 led to the establishment of general treatment planning rules. A class solution is tuned to fulfill the treatment planning rules and generate equivalent implants. For ten patients, the inverse planning is compared with manual planning performed by our experienced physicist. The prostate volumes ranged from 17 to 51 cc and are implanted with low activity I-125 seeds. Dosimetric indices are calculated for comparison. The inverse planning needed about 15 s for each optimization (400 000 iterations on a 2.5 GHz PC). In comparison, the physicist needed about 20 min to perform each manual plan. A class solution is found that consistently produces dosimetric indices equivalent or better than the manual planning. Moreover, even with strict seed placement rules, the inverse planning can produce adequate prostate dose coverage and organ at risk protection. The inverse planning avoids implant with seeds outside of the prostate and too close to the urethra. It also avoids needles with only one seed and needles with three consecutive seeds. This reduces the risk of complication due to seed misplacement and edema. The inverse planning also uses a smaller number of needles, reducing the cause of trauma. The quality of the treatment plans is independent of the gland size and shape. A class solution is established that consistently and rapidly produces equivalent dosimetric indices as manual planning while respecting severe seed placement rules. The class solution can be used as a starting point for every patient, dramatically reducing the time needed to plan individual patient treatments. The class solution works with inverse preplanning, intraoperative

Innovation and Market-Driven Management in Fast Fashion Companies

OpenAIRE

Elisa Arrigo

2010-01-01

In hyper-competitive markets, innovation is critical for the growth of market-driven companies. An examination of case studies of highly competitive global companies in the fast fashion sector, reveals that detailed understanding of the market, deriving from direct management of their stores, enables Zara, Gap and H&M to develop an innovation management capability. This is a fundamental competitive driver for the company's success.

Inverse planning in brachytherapy from radium to high rate 192 iridium afterloading

International Nuclear Information System (INIS)

Lahanas, M.; Mould, R.F.; Baltas, D.; Karauzakis, K.; Giannouli, S.; Baltas, D.

2004-01-01

We consider the inverse planning problem in brachytherapy, i.e. the problem to determine an optimal number of catheters, number of sources for low-dose rate brachytherapy (LDR) and the optimal dwell times for high-dose rate brachytherapy (HDR) necessary to obtain an optimal as possible dose distribution. Starting from the 1930s, inverse planning for LDR brachytherapy used geometrically derived rules to determine the optimal placement of sources in order to achieve a uniform dose distribution of a specific level in planes, spheres and cylinders. Rules and nomograms were derived which still are widely used. With the rapid development of 3D imaging technologies and the rapidly increasing computer power we have now entered the new era of computer-based inverse planning in brachytherapy. The inverse planning is now an optimisation process adapted to the individual geometry of the patient. New inverse planning optimisation algorithms are anatomy-based that consider the real anatomy of the tumour and the organs at risk (OAR). Computer-based inverse planning considers various effects such as stability of solutions for seed misplacements which cannot ever be solved analytically without gross simplifications. In the last few years multiobjective (MO) inverse planning algorithms have been developed which recognise the MO optimisation problem which is inherent in inverse planning in brachytherapy. Previous methods used a trial and error method to obtain a satisfactory solution. MO optimisation replaces this trial and error process by presenting a representative set of dose distributions that can be obtained. With MO optimisation it is possible to obtain information that can be used to obtain the optimum number of catheters, their position and the optimum distribution of dwell times for HDR brachytherapy. For LDR brachytherapy also the stability of solutions due to seed migration can also be improved. A spectrum of alternative solutions is available and the treatment planner

Inspired by design and driven by innovation. A conceptual model for radical design driven as a sustainable business model for Malaysian furniture design

Science.gov (United States)

Yusof, Wan Zaiyana Mohd; Fadzline Muhamad Tamyez, Puteri

2018-04-01

The definition of innovation does not help the entrepreneurs, business person or innovator to truly grasp what it means to innovate, hence we hear that government has spend millions of ringgit on “innovation” by doing R & D. However, the result has no avail in terms of commercial value. Innovation can be defined as the exploitation of commercialization of an idea or invention to create economic or social value. Most Entrepreneurs and business managers, regard innovation as creating economic value, while forgetting that innovation also create value for society or the environment. The ultimate goal as Entrepreneur, inventor or researcher is to exploit innovation to create value. As changes happen in society and economy, organizations and enterprises have to keep up and this requires innovation. This conceptual paper is to study the radical design driven innovation in the Malaysian furniture industry as a business model which the overall aim of the study is to examine the radical design driven innovation in Malaysia and how it compares with findings from Western studies. This paper will familiarize readers with the innovation and describe the radical design driven perspective that is adopted in its conceptual framework and design process.

Drivers and obstacles for employee-driven innovation in large client project organisations

DEFF Research Database (Denmark)

Sørensen, Henrik; Wandahl, Søren

2012-01-01

of employees’ spoken and tacit knowledge in development of new tools and structures to optimise the construction project management processes is a relatively new approach to engage innovation. In this broad perspective the aim is to map the boundary conditions for an EDI approach in a client project......, and in sequence increased revenue, this study suggests that the key source for innovation is the employees. Employee-driven innovation (EDI) is often seen in a greater innovation context, in which it is often de-emphasised contrary to product and process innovation. Hence a methodology to take advantage...... a literature review to clarify the most potential methodologies and tools. Based on this review a framework of tools and methods is derived from related development theories to engage EDI in client project organisa-tions, where product and process knowledge often are closely related to, and irregular driven by...

Inverse treatment planning based on MRI for HDR prostate brachytherapy

International Nuclear Information System (INIS)

Citrin, Deborah; Ning, Holly; Guion, Peter; Li Guang; Susil, Robert C.; Miller, Robert W.; Lessard, Etienne; Pouliot, Jean; Xie Huchen; Capala, Jacek; Coleman, C. Norman; Camphausen, Kevin; Menard, Cynthia

2005-01-01

Purpose: To develop and optimize a technique for inverse treatment planning based solely on magnetic resonance imaging (MRI) during high-dose-rate brachytherapy for prostate cancer. Methods and materials: Phantom studies were performed to verify the spatial integrity of treatment planning based on MRI. Data were evaluated from 10 patients with clinically localized prostate cancer who had undergone two high-dose-rate prostate brachytherapy boosts under MRI guidance before and after pelvic radiotherapy. Treatment planning MRI scans were systematically evaluated to derive a class solution for inverse planning constraints that would reproducibly result in acceptable target and normal tissue dosimetry. Results: We verified the spatial integrity of MRI for treatment planning. MRI anatomic evaluation revealed no significant displacement of the prostate in the left lateral decubitus position, a mean distance of 14.47 mm from the prostatic apex to the penile bulb, and clear demarcation of the neurovascular bundles on postcontrast imaging. Derivation of a class solution for inverse planning constraints resulted in a mean target volume receiving 100% of the prescribed dose of 95.69%, while maintaining a rectal volume receiving 75% of the prescribed dose of <5% (mean 1.36%) and urethral volume receiving 125% of the prescribed dose of <2% (mean 0.54%). Conclusion: Systematic evaluation of image spatial integrity, delineation uncertainty, and inverse planning constraints in our procedure reduced uncertainty in planning and treatment

Elucidate Innovation Performance of Technology-driven Mergers and Acquisitions

Energy Technology Data Exchange (ETDEWEB)

Huang, L.; Wang, K.; Yu, H.; Shang, L.; Mitkova, L.

2016-07-01

The importance and value of Mergers and Acquisitions (M&As) have increased with the expectancy to obtain key technology capabilities and rapid impact on innovation. This article develops an original analytical framework to elucidate the impact of the technology and product relatedness (similarity/complementarity) of the Technology-driven M&A’ partners on post-innovation performance. We present results drawing on a multiple case studies of Chinese High-Tech firms from three industries. (Author)

The Use of Balanced Scorecard in Implementation of the User-Driven Innovation Concept

Directory of Open Access Journals (Sweden)

Marzena KRAWCZYK

2015-12-01

Full Text Available Customers play a crucial role in innovation processes. Their importance is proved by numerous theories and innovation models which put users and clients in the heart of innovation processes. One of the newest concept, popular in Scandinavian countries, picking up this thread is the User–Driven Innovation (UDI. To increase probability of innovation success consumers must be involved in the firm’s business model / innovation strategy, becoming a part of the innovation processes and all other stakeholders should be aware of the significance and character of the linkage between customer and company. As a result, building, implementing and monitoring of the customer–oriented innovation strategy should take place. The Balanced Scorecard (BSC may turn out to be very helpful in achieving the above. The aim of this paper is to show that BSC may be a device of implementing the User–Driven Innovation concept, helping to understand UDI assumptions and the role of customers in creating value. Examples of strategic goals and performance indicators presented in this paper may be used by enterprises, which intend to build UDI-based BSC.

Data-Driven Planning: Using Assessment in Strategic Planning

Science.gov (United States)

Bresciani, Marilee J.

2010-01-01

Data-driven planning or evidence-based decision making represents nothing new in its concept. For years, business leaders have claimed they have implemented planning informed by data that have been strategically and systematically gathered. Within higher education and student affairs, there may be less evidence of the actual practice of…

Study on Product Innovative Design Process Driven by Ideal Solution

Science.gov (United States)

Zhang, Fuying; Lu, Ximei; Wang, Ping; Liu, Hui

Product innovative design in companies today relies heavily on individual members’ experience and creative ideation as well as their skills of integrating creativity and innovation tools with design methods agilely. Creative ideation and inventive ideas generation are two crucial stages in product innovative design process. Ideal solution is the desire final ideas for given problem, and the striving reaching target for product design. In this paper, a product innovative design process driven by ideal solution is proposed. This design process encourages designers to overcome their psychological inertia, to foster creativity in a systematic way for acquiring breakthrough creative and innovative solutions in a reducing sphere of solution-seeking, and results in effective product innovative design rapidly. A case study example is also presented to illustrate the effectiveness of the proposed design process.

Inverse optimization of objective function weights for treatment planning using clinical dose-volume histograms

Science.gov (United States)

Babier, Aaron; Boutilier, Justin J.; Sharpe, Michael B.; McNiven, Andrea L.; Chan, Timothy C. Y.

2018-05-01

We developed and evaluated a novel inverse optimization (IO) model to estimate objective function weights from clinical dose-volume histograms (DVHs). These weights were used to solve a treatment planning problem to generate ‘inverse plans’ that had similar DVHs to the original clinical DVHs. Our methodology was applied to 217 clinical head and neck cancer treatment plans that were previously delivered at Princess Margaret Cancer Centre in Canada. Inverse plan DVHs were compared to the clinical DVHs using objective function values, dose-volume differences, and frequency of clinical planning criteria satisfaction. Median differences between the clinical and inverse DVHs were within 1.1 Gy. For most structures, the difference in clinical planning criteria satisfaction between the clinical and inverse plans was at most 1.4%. For structures where the two plans differed by more than 1.4% in planning criteria satisfaction, the difference in average criterion violation was less than 0.5 Gy. Overall, the inverse plans were very similar to the clinical plans. Compared with a previous inverse optimization method from the literature, our new inverse plans typically satisfied the same or more clinical criteria, and had consistently lower fluence heterogeneity. Overall, this paper demonstrates that DVHs, which are essentially summary statistics, provide sufficient information to estimate objective function weights that result in high quality treatment plans. However, as with any summary statistic that compresses three-dimensional dose information, care must be taken to avoid generating plans with undesirable features such as hotspots; our computational results suggest that such undesirable spatial features were uncommon. Our IO-based approach can be integrated into the current clinical planning paradigm to better initialize the planning process and improve planning efficiency. It could also be embedded in a knowledge-based planning or adaptive radiation therapy framework to

Museums and Culture-Driven Innovation in Public-Private Consortia

DEFF Research Database (Denmark)

Søndergaard, Morten Karnøe; Veirum, Niels Einar

2012-01-01

that a better interaction between the three sectors will be of mutual benefit, but still much too little is happening. This article describes an attempt to overcome the barriers and presents ‘A Joint Venture Model for Culture-driven Innovation in Public-Private Consortia’ which has shown successful......Cultural institutions like museums are under pressure to shift to a more market-driven approach, universities are eager to make a far more aggressive outreach to the surrounding society, and businesses are forced to adapt new tools to innovate at a more and more rapid pace. It is obvious...... at the initial stages. The model has been tailored specifically for the current circumstances in the Danish society, regarding the legislation and the degree of freedom available for different types of organizational forms. But it might be of inspirational value for an international audience and in this article...

Relationship between innovativeness and strategic planning: Empirical research

Directory of Open Access Journals (Sweden)

Mamula Tatjana

2015-01-01

Full Text Available This paper studies the relationship between innovativeness and strategic planning in SMEs. In introduction part, the authors attempt to consider relevant findings about this specific relationship in the literature. The paper presents how the EU policy approaches the innovation management system within SMEs and where Serbia stands in catching up the process towards the EU in terms of innovativeness and competitiveness. The main research approach is to examine the relationship between innovativeness and strategic orientation, beginning with the existence of the four key strategic business documents: strategic, marketing, business plan and procedures, and innovation strategy documents. The last part is a discussion on the findings and considerations of the intensity of the relations among strategic orientations of the company expressed through the key strategic documents and innovativeness, and the relations among the three most practiced types of innovation in representative sample of 150 Serbian small and medium enterprises (SMEs.The research has shown that there is positive correlation between strategic planning approach in marketing and firm's innovativeness but the intensity of the relationship depends on the type of the innovativeness considered.

Action understanding as inverse planning.

Science.gov (United States)

Baker, Chris L; Saxe, Rebecca; Tenenbaum, Joshua B

2009-12-01

Humans are adept at inferring the mental states underlying other agents' actions, such as goals, beliefs, desires, emotions and other thoughts. We propose a computational framework based on Bayesian inverse planning for modeling human action understanding. The framework represents an intuitive theory of intentional agents' behavior based on the principle of rationality: the expectation that agents will plan approximately rationally to achieve their goals, given their beliefs about the world. The mental states that caused an agent's behavior are inferred by inverting this model of rational planning using Bayesian inference, integrating the likelihood of the observed actions with the prior over mental states. This approach formalizes in precise probabilistic terms the essence of previous qualitative approaches to action understanding based on an "intentional stance" [Dennett, D. C. (1987). The intentional stance. Cambridge, MA: MIT Press] or a "teleological stance" [Gergely, G., Nádasdy, Z., Csibra, G., & Biró, S. (1995). Taking the intentional stance at 12 months of age. Cognition, 56, 165-193]. In three psychophysical experiments using animated stimuli of agents moving in simple mazes, we assess how well different inverse planning models based on different goal priors can predict human goal inferences. The results provide quantitative evidence for an approximately rational inference mechanism in human goal inference within our simplified stimulus paradigm, and for the flexible nature of goal representations that human observers can adopt. We discuss the implications of our experimental results for human action understanding in real-world contexts, and suggest how our framework might be extended to capture other kinds of mental state inferences, such as inferences about beliefs, or inferring whether an entity is an intentional agent.

South Africa's rapid electrification programme: Policy, institutional, planning, financing and technical innovations

International Nuclear Information System (INIS)

Bekker, Bernard; Eberhard, Anton; Gaunt, Trevor; Marquard, Andrew

2008-01-01

This paper documents South Africa's electrification programme from the late 1980s to the present. The primary aim of the paper is to present the reader with an overview of the policy, institutional, planning, financing and technological developments and innovations that resulted in more than 5 million households receiving access to electricity between 1990 and 2007. Key aspects include the way in which a period of political change and policy disruption were essential to the programme's initiation, and the critical role played by organisations and individuals outside of national government in helping shape new electrification policies and strategies. In addition, the paper identifies the contribution of technology development in cost reduction and achieving the social aims of the programme. Several lessons may be drawn from the institutional and planning arrangements that the South African programme has developed, the significance of the development of appropriate cost-driven technical innovations and standards, and the acknowledgement of the social function of electrification and its funding from the fiscus (rather than through cross-subsidies)

Renewable energy-driven innovative energy-efficient desalination technologies

International Nuclear Information System (INIS)

Ghaffour, Noreddine; Lattemann, Sabine; Missimer, Thomas; Ng, Kim Choon; Sinha, Shahnawaz; Amy, Gary

2014-01-01

Highlights: • Renewable energy-driven desalination technologies are highlighted. • Solar, geothermal, and wind energy sources were explored. • An innovative hybrid approach (combined solar–geothermal) has also been explored. • Innovative desalination technologies developed by our group are discussed. • Climate change and GHG emissions from desalination are also discussed. - Abstract: Globally, the Kingdom of Saudi Arabia (KSA) desalinates the largest capacity of seawater but through energy-intensive thermal processes such as multi-stage flash (MSF) distillation (>10 kW h per m 3 of desalinated water, including electrical and thermal energies). In other regions where fossil energy is more expensive and not subsidized, seawater reverse osmosis (SWRO) is the most common desalination technology but it is still energy-intensive (3–4 kW h e /m 3 ). Both processes therefore lead to the emission of significant amounts of greenhouse gases (GHGs). Moreover, MSF and SWRO technologies are most often used for large desalination facilities serving urban centers with centralized water distribution systems and power grids. While renewable energy (RE) sources could be used to serve centralized systems in urban centers and thus provide an opportunity to make desalination greener, they are mostly used to serve rural communities off of the grid. In the KSA, solar and geothermal energy are of most relevance in terms of local conditions. Our group is focusing on developing new desalination processes, adsorption desalination (AD) and membrane distillation (MD), which can be driven by waste heat, geothermal or solar energy. A demonstration solar-powered AD facility has been constructed and a life cycle assessment showed that a specific energy consumption of <1.5 kW h e /m 3 is possible. An innovative hybrid approach has also been explored which would combine solar and geothermal energy using an alternating 12-h cycle to reduce the probability of depleting the heat source

The state of the art of innovation-driven business models in the financial services industry

NARCIS (Netherlands)

Lüftenegger, E.R.; Angelov, S.A.; Linden, van der E.; Grefen, P.W.P.J.

2010-01-01

Emerging innovation-driven business models are changing the financial services landscape. Most companies are using innovation to sustain their business models. However, new entrants into the financial services market innovate in a way that disrupts the industry. Typically, directions for innovation

Comparison of forward planning with automated inverse planning for three-dimensional conformal radiotherapy of non-small cell lung cancer without IMRT

International Nuclear Information System (INIS)

Mendes, Ruheena; Lavrenkov, Konstantin; Bedford, James L.; Henrys, Anthony; Ashley, Sue; Brada, Michael

2006-01-01

The forward and inverse treatment plans of 10 patients with lung cancer were compared in terms of PTV coverage, sparing of normal lung and time required to generate a plan. The inverse planning produced as good treatment plans as an experienced dosimetrist with considerable reduction in staff time. When translated to other complex sites, inverse non-IMRT planning may have considerable impact on manpower requirements

Effect of objective function on multi-objective inverse planning of radiation therapy

International Nuclear Information System (INIS)

Li Guoli; Wu Yican; Song Gang; Wang Shifang

2006-01-01

There are two kinds of objective functions in radiotherapy inverse planning: dose distribution-based and Dose-Volume Histogram (DVH)-based functions. The treatment planning in our days is still a trial and error process because the multi-objective problem is solved by transforming it into a single objective problem using a specific set of weights for each object. This work investigates the problem of objective function setting based on Pareto multi-optimization theory, and compares the effect on multi-objective inverse planning of those two kinds of objective functions including calculation time, converge speed, etc. The basis of objective function setting on inverse planning is discussed. (authors)

Three Performativities of Innovation in Public Transport Planning

DEFF Research Database (Denmark)

Lissandrello, Enza; Hrelja, Robert; Tennøy, Aud

2017-01-01

Focusing on planners’ own stories of innovation in public transport planning in three Nordic contexts (Denmark, Sweden and Norway), this article explores how individual planning professionals develop specific abilities that shape the possibilities of action and innovation in planning practices....... To illuminate how planning is dynamically renewed, revised and consolidated over time by the individual actions of planners, the article offers an interpretation of the performative qualities of planners by adapting Butler’s feminist critical theory on performativity to the public transport planning context...

User-driven Innovation in a Supply and Value Network

DEFF Research Database (Denmark)

Cankaya, Alev; Lassen, Astrid Heidemann; Wandahl, Søren

This article serves to conduct a systematic literary review upon the subject of user driven innovation in a supply and value network. The methodology behind the review is strict, organised, and controlled by peers in order to ensure that most of the relevant theory behind the subject is covered...

Inverse planning in the age of digital LINACs: station parameter optimized radiation therapy (SPORT)

Science.gov (United States)

Xing, Lei; Li, Ruijiang

2014-03-01

The last few years have seen a number of technical and clinical advances which give rise to a need for innovations in dose optimization and delivery strategies. Technically, a new generation of digital linac has become available which offers features such as programmable motion between station parameters and high dose-rate Flattening Filter Free (FFF) beams. Current inverse planning methods are designed for traditional machines and cannot accommodate these features of new generation linacs without compromising either dose conformality and/or delivery efficiency. Furthermore, SBRT is becoming increasingly important, which elevates the need for more efficient delivery, improved dose distribution. Here we will give an overview of our recent work in SPORT designed to harness the digital linacs and highlight the essential components of SPORT. We will summarize the pros and cons of traditional beamlet-based optimization (BBO) and direct aperture optimization (DAO) and introduce a new type of algorithm, compressed sensing (CS)-based inverse planning, that is capable of automatically removing the redundant segments during optimization and providing a plan with high deliverability in the presence of a large number of station control points (potentially non-coplanar, non-isocentric, and even multi-isocenters). We show that CS-approach takes the interplay between planning and delivery into account and allows us to balance the dose optimality and delivery efficiency in a controlled way and, providing a viable framework to address various unmet demands of the new generation linacs. A few specific implementation strategies of SPORT in the forms of fixed-gantry and rotational arc delivery are also presented.

Inverse planning in the age of digital LINACs: station parameter optimized radiation therapy (SPORT)

International Nuclear Information System (INIS)

Xing, Lei; Li, Ruijiang

2014-01-01

The last few years have seen a number of technical and clinical advances which give rise to a need for innovations in dose optimization and delivery strategies. Technically, a new generation of digital linac has become available which offers features such as programmable motion between station parameters and high dose-rate Flattening Filter Free (FFF) beams. Current inverse planning methods are designed for traditional machines and cannot accommodate these features of new generation linacs without compromising either dose conformality and/or delivery efficiency. Furthermore, SBRT is becoming increasingly important, which elevates the need for more efficient delivery, improved dose distribution. Here we will give an overview of our recent work in SPORT designed to harness the digital linacs and highlight the essential components of SPORT. We will summarize the pros and cons of traditional beamlet-based optimization (BBO) and direct aperture optimization (DAO) and introduce a new type of algorithm, compressed sensing (CS)-based inverse planning, that is capable of automatically removing the redundant segments during optimization and providing a plan with high deliverability in the presence of a large number of station control points (potentially non-coplanar, non-isocentric, and even multi-isocenters). We show that CS-approach takes the interplay between planning and delivery into account and allows us to balance the dose optimality and delivery efficiency in a controlled way and, providing a viable framework to address various unmet demands of the new generation linacs. A few specific implementation strategies of SPORT in the forms of fixed-gantry and rotational arc delivery are also presented.

Key Mechanisms for Employee-Driven Innovation in Governmental Client Organisations

DEFF Research Database (Denmark)

Sørensen, Henrik; Faber, Lene; Wandahl, Søren

2018-01-01

the mechanisms of organisational trust, innovation safety, organisational practices, cultural settings and the recognition and rewards structure to motivate employees. The decision-making procedures should be transparent especially to the idea-owner and the employees involved, and the implementation and putting......In order to ensure that knowledge and ideas are transformed into innovative contributions, a systematic approach is important. The aim of this research was to identify the specific mechanisms that are key to implementing an innovation process model when conducting Employee-driven Innovation...... in a governmental client organisation. The methodological approach was an exploratory case study of a governmental client organisation within the Danish construction industry. The units of analysis were groups of employees and managers within the case organisation. The primary mechanisms identified were...

Developing a Framework and Implementing User-Driven Innovation in Supply and Value Network

DEFF Research Database (Denmark)

Jacobsen, Alexia; Lassen, Astrid Heidemann; Wandahl, Søren

2011-01-01

This paper serves to create a framework for and, subsequently, implementing user-driven innovation in a construction material industry network. The research has its outset in Project InnoDoors that consists of a Danish university and a construction material network. The framework and the implemen......This paper serves to create a framework for and, subsequently, implementing user-driven innovation in a construction material industry network. The research has its outset in Project InnoDoors that consists of a Danish university and a construction material network. The framework...

The Role of Employee-Driven Relations and Persistence in University-Industry Collaboration on Regional Innovation

DEFF Research Database (Denmark)

Østergaard, Christian Richter; Drejer, Ina

important driving factor for current collaboration than the existence of employee-driven relations. This suggest that firms’ hiring a university graduate is important for establishing a university connection, but once they have initiated a collaboration, then collaboration patterns tend to persists. However...... in the innovation literature about drivers of and persistence in university-industry collaborations. More specifically, it explores the role of employee-driven relations and persistence for firms’ collaboration on innovation with specific universities. The existing studies of university-industry interaction based......Promoting university-industry collaboration on innovation has an important role in regional innovation policy. Despite apparent advantages of such collaborations, several studies have shown that most innovative firms do not collaborate with universities. The paper addresses the dearth of knowledge...

Inverse planning and optimization: a comparison of solutions

Energy Technology Data Exchange (ETDEWEB)

Ringor, Michael [School of Health Sciences, Purdue University, West Lafayette, IN (United States); Papiez, Lech [Department of Radiation Oncology, Indiana University, Indianapolis, IN (United States)

1998-09-01

The basic problem in radiation therapy treatment planning is to determine an appropriate set of treatment parameters that would induce an effective dose distribution inside a patient. One can approach this task as an inverse problem, or as an optimization problem. In this presentation, we compare both approaches. The inverse problem is presented as a dose reconstruction problem similar to tomography reconstruction. We formulate the optimization problem as linear and quadratic programs. Explicit comparisons are made between the solutions obtained by inversion and those obtained by optimization for the case in which scatter and attenuation are ignored (the NS-NA approximation)

Multi-objective optimization of inverse planning for accurate radiotherapy

International Nuclear Information System (INIS)

Cao Ruifen; Pei Xi; Cheng Mengyun; Li Gui; Hu Liqin; Wu Yican; Jing Jia; Li Guoli

2011-01-01

The multi-objective optimization of inverse planning based on the Pareto solution set, according to the multi-objective character of inverse planning in accurate radiotherapy, was studied in this paper. Firstly, the clinical requirements of a treatment plan were transformed into a multi-objective optimization problem with multiple constraints. Then, the fast and elitist multi-objective Non-dominated Sorting Genetic Algorithm (NSGA-II) was introduced to optimize the problem. A clinical example was tested using this method. The results show that an obtained set of non-dominated solutions were uniformly distributed and the corresponding dose distribution of each solution not only approached the expected dose distribution, but also met the dose-volume constraints. It was indicated that the clinical requirements were better satisfied using the method and the planner could select the optimal treatment plan from the non-dominated solution set. (authors)

The Syed temporary interstitial iridium gynaecological implant: an inverse planning system

International Nuclear Information System (INIS)

Fung, Albert Y.C.

2002-01-01

Patients with advanced gynaecological cancer are often treated with a temporary interstitial implant using the Syed template and Ir-192 ribbons at the Memorial Sloan-Kettering Cancer Center. Urgency in planning is great. We created a computerized inverse planning system for the Syed temporary gynaecological implant, which optimized the ribbon strengths a few seconds after catheter digitization. Inverse planning was achieved with simulated annealing. We discovered that hand-drawn target volumes had drawbacks; hence instead of producing a grid of points based on target volume, the optimization points were generated directly from the catheter positions without requiring an explicit target volume. Since all seeds in the same ribbon had the same strength, the minimum doses were located at both ends of the implant. Optimization points generated at both ends ensured coverage of the whole implant. Inverse planning took only a few seconds, and generated plans that provide a good starting point for manual improvement. (author)

Mapping key antecedents of employee-driven innovations

DEFF Research Database (Denmark)

Smith, Pernille; Ulhøi, John Parm; Kesting, Peter

2012-01-01

Research on employee-driven innovation (EDI) is still in its infancy, and as yet there is no independent body of literature on the topic. The aim of this paper is to review existing insights into the key antecedents of EDI in other research contexts. In particular, we focus on: leader support......, autonomy, collaboration, and organisational norms of exploration. The main contribution of this paper is to discuss how these key antecedents apply to the specific case of EDI and to identify an agenda for new research....

Beam's-Eye-View Dosimetrics-Guided Inverse Planning for Aperture-Modulated Arc Therapy

International Nuclear Information System (INIS)

Ma Yunzhi; Popple, Richard; Suh, Tae-Suk; Xing Lei

2009-01-01

Purpose: To use angular beam's-eye-view dosimetrics (BEVD) information to improve the computational efficiency and plan quality of inverse planning of aperture-modulated arc therapy (AMAT). Methods and Materials: In BEVD-guided inverse planning, the angular space spanned by a rotational arc is represented by a large number of fixed-gantry beams with angular spacing of ∼2.5 degrees. Each beam is assigned with an initial aperture shape determined by the beam's-eye-view (BEV) projection of the planning target volume (PTV) and an initial weight. Instead of setting the beam weights arbitrarily, which slows down the subsequent optimization process and may result in a suboptimal solution, a priori knowledge about the quality of the beam directions derived from a BEVD is adopted to initialize the weights. In the BEVD calculation, a higher score is assigned to directions that allow more dose to be delivered to the PTV without exceeding the dose tolerances of the organs at risk (OARs) and vice versa. Simulated annealing is then used to optimize the segment shapes and weights. The BEVD-guided inverse planning is demonstrated by using two clinical cases, and the results are compared with those of a conventional approach without BEVD guidance. Results: An a priori knowledge-guided inverse planning scheme for AMAT is established. The inclusion of BEVD guidance significantly improves the convergence behavior of AMAT inverse planning and results in much better OAR sparing as compared with the conventional approach. Conclusions: BEVD-guidance facilitates AMAT treatment planning and provides a comprehensive tool to maximally use the technical capacity of the new arc therapeutic modality.

Planning for a Distributed Disruption: Innovative Practices for Incorporating Distributed Solar into Utility Planning

Energy Technology Data Exchange (ETDEWEB)

Mill, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Seel, Joachim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dong, Changgui [National Renewable Energy Lab. (NREL), Golden, CO (United States); Mai, Trieu [National Renewable Energy Lab. (NREL), Golden, CO (United States); Sigrin, Ben [National Renewable Energy Lab. (NREL), Golden, CO (United States); Zuboy, Jarrett [Independent Consultant

2016-08-19

The rapid growth of distributed solar photovoltaics (DPV) has critical implications for U.S. utility planning processes. This report informs utility planning through a comparative analysis of roughly 30 recent utility integrated resource plans or other generation planning studies, transmission planning studies, and distribution system plans. It reveals a spectrum of approaches to incorporating DPV across nine key planning areas, and it identifies areas where even the best current practices might be enhanced. 1) Forecasting DPV deployment: Because it explicitly captures several predictive factors, customer-adoption modeling is the most comprehensive forecasting approach. It could be combined with other forecasting methods to generate a range of potential futures. 2) Ensuring robustness of decisions to uncertain DPV quantities: using a capacity-expansion model to develop least-cost plans for various scenarios accounts for changes in net load and the generation portfolio; an innovative variation of this approach combines multiple per-scenario plans with trigger events, which indicate when conditions have changed sufficiently from the expected to trigger modifications in resource-acquisition strategy. 3) Characterizing DPV as a resource option: Today’s most comprehensive plans account for all of DPV’s monetary costs and benefits. An enhanced approach would address non-monetary and societal impacts as well. 4) Incorporating the non-dispatchability of DPV into planning: Rather than having a distinct innovative practice, innovation in this area is represented by evolving methods for capturing this important aspect of DPV. 5) Accounting for DPV’s location-specific factors: The innovative propensity-to-adopt method employs several factors to predict future DPV locations. Another emerging utility innovation is locating DPV strategically to enhance its benefits. 6) Estimating DPV’s impact on transmission and distribution investments: Innovative practices are being

Planning for a Distributed Disruption: Innovative Practices for Incorporating Distributed Solar into Utility Planning

Energy Technology Data Exchange (ETDEWEB)

Mills, Andrew D.; Barbose, Galen L.; Seel, Joachim; Dong, Changgui; Mai, Trieu; Sigrin, Ben; Zuboy, Jarett

2016-08-01

The rapid growth of distributed solar photovoltaics (DPV) has critical implications for U.S. utility planning processes. This report informs utility planning through a comparative analysis of roughly 30 recent utility integrated resource plans or other generation planning studies, transmission planning studies, and distribution system plans. It reveals a spectrum of approaches to incorporating DPV across nine key planning areas, and it identifies areas where even the best current practices might be enhanced. (1) Forecasting DPV deployment: Because it explicitly captures several predictive factors, customer-adoption modeling is the most comprehensive forecasting approach. It could be combined with other forecasting methods to generate a range of potential futures. (2) Ensuring robustness of decisions to uncertain DPV quantities: using a capacity-expansion model to develop least-cost plans for various scenarios accounts for changes in net load and the generation portfolio; an innovative variation of this approach combines multiple per-scenario plans with trigger events, which indicate when conditions have changed sufficiently from the expected to trigger modifications in resource-acquisition strategy. (3) Characterizing DPV as a resource option: Today's most comprehensive plans account for all of DPV's monetary costs and benefits. An enhanced approach would address non-monetary and societal impacts as well. (4) Incorporating the non-dispatchability of DPV into planning: Rather than having a distinct innovative practice, innovation in this area is represented by evolving methods for capturing this important aspect of DPV. (5) Accounting for DPV's location-specific factors: The innovative propensity-to-adopt method employs several factors to predict future DPV locations. Another emerging utility innovation is locating DPV strategically to enhance its benefits. (6) Estimating DPV's impact on transmission and distribution investments: Innovative

Services for People Innovation Park – Planning Methodologies

Directory of Open Access Journals (Sweden)

Maria Angela Campelo de Melo

2013-04-01

Full Text Available This article aims to identify appropriate methodologies for the planning of a Services for People Innovation Park-SPIP, designed according to the model proposed by the Ibero-American Network launched by La Salle University of Madrid. Projected to form a network, these parks were conceived to provoke social change in their region, improving quality of life and social welfare, through knowledge, technology and innovation transfer and creation of companies focused on developing product and services to reduce social inequalities. Building a conceptual framework for the identification of planning methodologies compatible with the SPIP problemátique, this article analyses the theories of complex systems and adaptive planning, considering the particularities presented by Innovation Parks. The study deepens the understanding of the problems inherent in park planning, identifies the key issues to be considered during this process, and characterizes the SPIP as active adaptive complex system, suggesting methodologies more appropriate to its planning.

Facilitating Data Driven Business Model Innovation - A Case study

DEFF Research Database (Denmark)

Bjerrum, Torben Cæsar Bisgaard; Andersen, Troels Christian; Aagaard, Annabeth

2016-01-01

. The businesses interdisciplinary capabilities come into play in the BMI process, where knowledge from the facilitation strategy and knowledge from phases of the BMI process needs to be present to create new knowledge, hence new BMs and innovations. Depending on the environment and shareholders, this also exposes......This paper aims to understand the barriers that businesses meet in understanding their current business models (BM) and in their attempt at innovating new data driven business models (DDBM) using data. The interdisciplinary challenge of knowledge exchange occurring outside and/or inside businesses......, that gathers knowledge is of great importance. The SMEs have little, if no experience, within data handling, data analytics, and working with structured Business Model Innovation (BMI), that relates to both new and conventional products, processes and services. This new frontier of data and BMI will have...

Innovation Cycles Concerning Strategic Planning of Product-Service-Systems

OpenAIRE

Hepperle, Clemens;Mörtl, Markus;Lindemann, Udo

2017-01-01

This paper proposes a research program for identifying, understanding and describing innovation cycles concerning strategic planning of product-service-systems. A general overview about the background of cycle management in innovation processes, which the proposed research program is part of, is given before focusing cycles concerning strategic planning. As companies offer more and more complex products in order to satisfy market needs, the innovation process of such products becomes also mor...

Optimization of importance factors in inverse planning

International Nuclear Information System (INIS)

Xing, L.

1999-01-01

Inverse treatment planning starts with a treatment objective and obtains the solution by optimizing an objective function. The clinical objectives are usually multifaceted and potentially incompatible with one another. A set of importance factors is often incorporated in the objective function to parametrize trade-off strategies and to prioritize the dose conformality in different anatomical structures. Whereas the general formalism remains the same, different sets of importance factors characterize plans of obviously different flavour and thus critically determine the final plan. Up to now, the determination of these parameters has been a 'guessing' game based on empirical knowledge because the final dose distribution depends on the parameters in a complex and implicit way. The influence of these parameters is not known until the plan optimization is completed. In order to compromise properly the conflicting requirements of the target and sensitive structures, the parameters are usually adjusted through a trial-and-error process. In this paper, a method to estimate these parameters computationally is proposed and an iterative computer algorithm is described to determine these parameters numerically. The treatment plan selection is done in two steps. First, a set of importance factors are chosen and the corresponding beam parameters (e.g. beam profiles) are optimized under the guidance of a quadratic objective function using an iterative algorithm reported earlier. The 'optimal' plan is then evaluated by an additional scoring function. The importance factors in the objective function are accordingly adjusted to improve the ranking of the plan. For every change in the importance factors, the beam parameters need to be re-optimized. This process continues in an iterative fashion until the scoring function is saturated. The algorithm was applied to two clinical cases and the results demonstrated that it has the potential to improve significantly the existing method of

The Role of Mobility and Employee-Driven Relations for University-Industry Collaboration on Innovation

DEFF Research Database (Denmark)

Østergaard, Christian Richter; Drejer, Ina

This paper analyzes the role of mobility and employee-driven relations for firms' collaboration on innovation with specific universities. It is argued that personal employee-driven relations and geographical proximity are important determinants for which universities firms decide to collaborate...... with. Therefore, hiring and mobility of employees can help explain why firms collaborate with specific universities or discontinue collaboration. It is argued that the university of graduation and the field of study of a firm's employees help explain why it collaborate with a specific university....... Furthermore, the paper also addresses the importance of developing relations and collaborative experience over time for university-industry collaboration by studying employee-driven relations and collaboration patterns for a large sample of firms over two consecutive Community Innovation Surveys covering...

Design Driven Innovation as a Differentiation Strategy - in the Context of Automotive Industry

Directory of Open Access Journals (Sweden)

Mosarrat Farhana

2015-07-01

Full Text Available Though, in the automotive industry, technology is considered as a source of innovation and development, emerging change in consumer perception has brought industry focus on design. Evolution of this industry is closely related to the convergence of technology and design. In such context, implication of design driven innovation strategy in the automotive industry has potential to be explored and to create sustained competitive advantage through balancing customers’ need, technological opportunities and product meaning. The aim of this paper is to give a holistic view of design driven innovation as a differentiation strategy in the automotive industry and its implication for strategic management through some relevant research reviews and empirical information. On the contrary, this research lacks detailed description on industry practice to provide greater breadth, since it attempts to correlate the strategic concept of design with the dynamic capability of a firm in that particular industry.

The More, the Merrier: Why and How Employee-Driven Eco-Innovation Enhances Environmental and Competitive Advantage

Directory of Open Access Journals (Sweden)

Anke Buhl

2016-09-01

Full Text Available Innovative solutions are often conjured as a key factor for companies to come closer to the goal of ecological sustainability. Furthermore, proactive eco-innovation activities can encompass competitive advantages. Companies are therefore well advised to tap any available source of innovation. However, although employees’ innovative capacity has often been described, to date, their manifold potentials for eco-innovation processes have hardly been examined in detail. The overarching research questions guiding this conceptual paper are why and how employee participation in eco-innovation processes can entail environmental and competitive advantages for companies. The authors introduce the concept of employee-driven eco-innovation (EDEI, defined here as ordinary employees’ voluntary engagement in innovation activities within an organizational context that, intentionally or not, lead to environmental improvements. This paper complements previous literature on employee-driven innovation (EDI by applying it to the specific case of eco-innovation. In this context, employees’ comprehensive environmental competences resulting from “tacit knowledge”, “private consumer experience” and “green identity” are taken into account. In addition, we delineate critical intra-organizational factors for EDEI activities and illustrate green employees’ specific requirements in this regard.

Approval plans issues and innovations

CERN Document Server

Katz, Linda S

2013-01-01

How can you, as an acquisition librarians, keep current on the output of hundreds of publishers? The answer, of course, is that you cannot. For over 30 years, approval plans have been used by librarians to acquire current titles, save staff time, and build core collections. Even today, these reasons seem appropriate, as libraries try to maintain up-to-date collections and control personnel and operating budgets. However, as shown in Approval Plans: Issues and Innovations, the use of approval plans is not so simple and straightforward; their use is subject to complex procedures and policies--an

Inverse planning for x-ray rotation therapy: a general solution of the inverse problem

International Nuclear Information System (INIS)

Oelfke, U.; Bortfeld, T.

1999-01-01

Rotation therapy with photons is currently under investigation for the delivery of intensity modulated radiotherapy (IMRT). An analytical approach for inverse treatment planning of this radiotherapy technique is described. The inverse problem for the delivery of arbitrary 2D dose profiles is first formulated and then solved analytically. In contrast to previously applied strategies for solving the inverse problem, it is shown that the most general solution for the fluence profiles consists of two independent solutions of different parity. A first analytical expression for both fluence profiles is derived. The mathematical derivation includes two different strategies, an elementary expansion of fluence and dose into polynomials and a more practical approach in terms of Fourier transforms. The obtained results are discussed in the context of previous work on this problem. (author)

Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code

International Nuclear Information System (INIS)

He, Tongming Tony

2003-01-01

Inaccurate dose calculations and limitations of optimization algorithms in inverse planning introduce systematic and convergence errors to treatment plans. This work was to implement a Monte Carlo based inverse planning model for clinical IMRT aiming to minimize the aforementioned errors. The strategy was to precalculate the dose matrices of beamlets in a Monte Carlo based method followed by the optimization of beamlet intensities. The MCNP 4B (Monte Carlo N-Particle version 4B) code was modified to implement selective particle transport and dose tallying in voxels and efficient estimation of statistical uncertainties. The resulting performance gain was over eleven thousand times. Due to concurrent calculation of multiple beamlets of individual ports, hundreds of beamlets in an IMRT plan could be calculated within a practical length of time. A finite-sized point source model provided a simple and accurate modeling of treatment beams. The dose matrix calculations were validated through measurements in phantoms. Agreements were better than 1.5% or 0.2 cm. The beamlet intensities were optimized using a parallel platform based optimization algorithm that was capable of escape from local minima and preventing premature convergence. The Monte Carlo based inverse planning model was applied to clinical cases. The feasibility and capability of Monte Carlo based inverse planning for clinical IMRT was demonstrated. Systematic errors in treatment plans of a commercial inverse planning system were assessed in comparison with the Monte Carlo based calculations. Discrepancies in tumor doses and critical structure doses were up to 12% and 17%, respectively. The clinical importance of Monte Carlo based inverse planning for IMRT was demonstrated

Innovation diffusion on time-varying activity driven networks

Science.gov (United States)

Rizzo, Alessandro; Porfiri, Maurizio

2016-01-01

Since its introduction in the 1960s, the theory of innovation diffusion has contributed to the advancement of several research fields, such as marketing management and consumer behavior. The 1969 seminal paper by Bass [F.M. Bass, Manag. Sci. 15, 215 (1969)] introduced a model of product growth for consumer durables, which has been extensively used to predict innovation diffusion across a range of applications. Here, we propose a novel approach to study innovation diffusion, where interactions among individuals are mediated by the dynamics of a time-varying network. Our approach is based on the Bass' model, and overcomes key limitations of previous studies, which assumed timescale separation between the individual dynamics and the evolution of the connectivity patterns. Thus, we do not hypothesize homogeneous mixing among individuals or the existence of a fixed interaction network. We formulate our approach in the framework of activity driven networks to enable the analysis of the concurrent evolution of the interaction and individual dynamics. Numerical simulations offer a systematic analysis of the model behavior and highlight the role of individual activity on market penetration when targeted advertisement campaigns are designed, or a competition between two different products takes place.

Challenges and best practices for big data-driven healthcare innovations conducted by profit–non-profit partnerships – a quantitative prioritization

NARCIS (Netherlands)

Witjas-Paalberends, E. R.; van Laarhoven, L. P.M.; van de Burgwal, L. H.M.; Feilzer, J.; de Swart, J.; Claassen, H.J.H.M.; Jansen, W. T.M.

2017-01-01

Big data-driven innovations are key in improving healthcare system sustainability. Given the complexity, these are frequently conducted by public-private-partnerships (PPPs) between profit and non-profit parties. However, information on how to manage big data-driven healthcare innovations by PPPs is

Installed Base as a Facilitator for User-Driven Innovation: How Can User Innovation Challenge Existing Institutional Barriers?

Directory of Open Access Journals (Sweden)

Synnøve Thomassen Andersen

2012-01-01

Full Text Available The paper addresses an ICT-based, user-driven innovation process in the health sector in rural areas in Norway. The empirical base is the introduction of a new model for psychiatric health provision. This model is supported by a technical solution based on mobile phones that is aimed to help the communication between professional health personnel and patients. This innovation was made possible through the use of standard mobile technology rather than more sophisticated systems. The users were heavily involved in the development work. Our analysis shows that by thinking simple and small-scale solutions, including to take the user’s needs and premises as a point of departure rather than focusing on advanced technology, the implementation process was made possible. We show that by combining theory on information infrastructures, user-oriented system development, and innovation in a three-layered analytical framework, we can explain the interrelationship between technical, organizational, and health professional factors that made this innovation a success.

Innovation Process Planning Model in the Bpmn Standard

Directory of Open Access Journals (Sweden)

Jurczyk-Bunkowska Magdalena

2013-12-01

Full Text Available The aim of the article is to show the relations in the innovation process planning model. The relations argued here guarantee the stable and reliable way to achieve the result in the form of an increased competitiveness by a professionally directed development of the company. The manager needs to specify the effect while initiating the realisation of the process, has to be achieved this by the system of indirect goals. The original model proposed here shows the standard of dependence between the plans of the fragments of the innovation process which make up for achieving its final goal. The relation in the present article was shown by using the standard Business Process Model and Notation. This enabled the specification of interrelations between the decision levels at which subsequent fragments of the innovation process are planned. This gives the possibility of a better coordination of the process, reducing the time needed for the achievement of its effect. The model has been compiled on the basis of the practises followed in Polish companies. It is not, however, the reflection of these practises, but rather an idealised standard of proceedings which aims at improving the effectiveness of the management of innovations on the operational level. The model shown could be the basis of the creation of systems supporting the decision making, supporting the knowledge management or those supporting the communication in the innovation processes.

Poster - 33: Dosimetry Comparison of Prone Breast Forward and Inverse Treatment planning considering daily setup variations

Energy Technology Data Exchange (ETDEWEB)

Jiang, Runqing; Zhan, Lixin; Osei, Ernest [Grand River Regional Cancer Centre (Canada)

2016-08-15

Introduction: The purpose of this study is to investigate the effects of daily setup variations on prone breast forward field-in-field (FinF) and inverse IMRT treatment planning. Methods: Rando Phantom (Left breast) and Pixy phantom (Right breast) were built and CT scanned in prone position. The treatment planning (TP) is performed in Eclipse TP system. Forward FinF plan and inverse IMRT plan were created to satisfy the CTV coverage and OARs criteria. The daily setup variations were assumed to be 5 mm at left-right, superior-inferior, and anterior-posterior directions. The DVHs of CTV coverage and OARs were compared for both forward FinF plan and inverse IMRT plans due to 5mm setup variation. Results and Discussions: DVHs of CTV coverage had fewer variations for 5m setup variation for forward FinF and inverse IMRT plan for both phantoms. However, for the setup variations in the left-right direction, the DVH of CTV coverage of IMRT plan showed the worst variation due to lateral setup variation for both phantoms. For anterior-posterior variation, the CTV could not get full coverage when the breast chest wall is shallow; however, with the guidance of MV imaging, breast chest wall will be checked during the MV imaging setup. So the setup variations have more effects on inverse IMRT plan, compared to forward FinF plan, especially in the left-right direction. Conclusions: The Forward FinF plan was recommended clinically considering daily setup variation.

A gEUD-based inverse planning technique for HDR prostate brachytherapy: Feasibility study

Energy Technology Data Exchange (ETDEWEB)

Giantsoudi, D. [Department of Radiological Sciences, University of Texas Health Sciences Center, San Antonio, Texas 78229 (United States); Department of Radiation Oncology, Francis H. Burr Proton Therapy Center, Boston, Massachusetts 02114 (United States); Baltas, D. [Department of Medical Physics and Engineering, Strahlenklinik, Klinikum Offenbach GmbH, 63069 Offenbach (Germany); Nuclear and Particle Physics Section, Physics Department, University of Athens, 15701 Athens (Greece); Karabis, A. [Pi-Medical Ltd., Athens 10676 (Greece); Mavroidis, P. [Department of Radiological Sciences, University of Texas Health Sciences Center, San Antonio, Texas 78299 and Department of Medical Radiation Physics, Karolinska Institutet and Stockholm University, 17176 (Sweden); Zamboglou, N.; Tselis, N. [Strahlenklinik, Klinikum Offenbach GmbH, 63069 Offenbach (Germany); Shi, C. [St. Vincent' s Medical Center, 2800 Main Street, Bridgeport, Connecticut 06606 (United States); Papanikolaou, N. [Department of Radiological Sciences, University of Texas Health Sciences Center, San Antonio, Texas 78299 (United States)

2013-04-15

Purpose: The purpose of this work was to study the feasibility of a new inverse planning technique based on the generalized equivalent uniform dose for image-guided high dose rate (HDR) prostate cancer brachytherapy in comparison to conventional dose-volume based optimization. Methods: The quality of 12 clinical HDR brachytherapy implants for prostate utilizing HIPO (Hybrid Inverse Planning Optimization) is compared with alternative plans, which were produced through inverse planning using the generalized equivalent uniform dose (gEUD). All the common dose-volume indices for the prostate and the organs at risk were considered together with radiobiological measures. The clinical effectiveness of the different dose distributions was investigated by comparing dose volume histogram and gEUD evaluators. Results: Our results demonstrate the feasibility of gEUD-based inverse planning in HDR brachytherapy implants for prostate. A statistically significant decrease in D{sub 10} or/and final gEUD values for the organs at risk (urethra, bladder, and rectum) was found while improving dose homogeneity or dose conformity of the target volume. Conclusions: Following the promising results of gEUD-based optimization in intensity modulated radiation therapy treatment optimization, as reported in the literature, the implementation of a similar model in HDR brachytherapy treatment plan optimization is suggested by this study. The potential of improved sparing of organs at risk was shown for various gEUD-based optimization parameter protocols, which indicates the ability of this method to adapt to the user's preferences.

Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity

NARCIS (Netherlands)

Melenhorst, Anne-Sophie; Rogers, Wendy A.; Bouwhuis, Don G.

2006-01-01

This study examined older adults' motivation to adopt technological innovation. Sixty-eight older e-mail users and nonusers discussed the use of e-mail and of traditional communication methods in 18 focus groups. The results show older adults' benefit-driven approach to new communication technology.

Older adults motivated choice for technological innovation: evidence for benefit-driven selectivity

NARCIS (Netherlands)

Melenhorst, A.S.; Rogers, W.A.; Bouwhuis, D.G.

2006-01-01

This study examined older adults' motivation to adopt technological innovation. Sixty-eight older e-mail users and nonusers discussed the use of e-mail and of traditional communication methods in 18 focus groups. The results show older adults' benefit-driven approach to new communication technology.

Test-Driven Development as an Innovation Value Chain

Directory of Open Access Journals (Sweden)

Ana Paula Ress

2013-04-01

Full Text Available For all companies that consider their Information Technology Department to be of strategic value, it is important to incorporate an innovation value chain into their software development lifecycles to enhance their teams' performance. One model is TDD (Test-Driven Development, which is a process that detects failures and improves the productivity and quality of the team’s work. Data were collected from a Financial Company with 3,500 employees to demonstrate that software projects that require more than 4,000 hours of development benefit from TDD if a clear knowledge conversion step occurs between the client and the developers.

Heliospheric magnetic field polarity inversions driven by radial velocity field structures

Czech Academy of Sciences Publication Activity Database

Landi, S.; Hellinger, Petr; Velli, M.

2006-01-01

Roč. 33, č. 14 (2006), L14101/1-L14101/5 ISSN 0094-8276 Grant - others:European Commission(XE) HRPN-CT-2001-00310 Institutional research plan: CEZ:AV0Z30420517 Keywords : solar wind * magnetic field polarity inversions * microstreams * turbulence Subject RIV: BL - Plasma and Gas Discharge Physics Impact factor: 2.602, year: 2006

Exploration and practice for engineering innovative talents training based on project-driven

Science.gov (United States)

Xu, Yishen; Lv, Qingsong; Ye, Yan; Wu, Maocheng; Gu, Jihua

2017-08-01

As one of the "excellent engineer education program" of the Ministry of Education and one of the characteristic majors of Jiangsu Province, the major of optoelectronic information science and engineering in Soochow University has a long history and distinctive features. In recent years, aiming to the talents training objective of "broad foundation, practiceoriented, to be creative", education and teaching reforms have been carried out, which emphasize basis of theoretical teaching, carrier of practical training, promotion of projects and discussion, and development of second class. By optimizing the teaching contents and course system of the theoretical courses, the engineering innovative talents training mode based on the project-driven has been implemented with playing a practical training carrier role and overall managing the second class teaching for cultivating students' innovative spirit and practical ability. Meanwhile, the evaluation mechanism of the students' comprehensive performance mainly based on "scores of theory test" is being gradually changed, and the activities such as scientific research, discipline competitions and social practices are playing an increasing important role in the students' comprehensive assessment. The produced achievements show that the proposed training model based on project-driven could stimulate the students' enthusiasm and initiative to participate in research activities and promote the training of students' ability of engineering practice and consciousness of innovation.

Evaluation of an artificial intelligence guided inverse planning system: Clinical case study

International Nuclear Information System (INIS)

Yan Hui; Yin Fangfang; Willett, Christopher

2007-01-01

Purpose: An artificial intelligence (AI) guided method for parameter adjustment of inverse planning was implemented on a commercial inverse treatment planning system. For evaluation purpose, four typical clinical cases were tested and the results from both plans achieved by automated and manual methods were compared. Methods and materials: The procedure of parameter adjustment mainly consists of three major loops. Each loop is in charge of modifying parameters of one category, which is carried out by a specially customized fuzzy inference system. A physician prescribed multiple constraints for a selected volume were adopted to account for the tradeoff between prescription dose to the PTV and dose-volume constraints for critical organs. The searching process for an optimal parameter combination began with the first constraint, and proceeds to the next until a plan with acceptable dose was achieved. The initial setup of the plan parameters was the same for each case and was adjusted independently by both manual and automated methods. After the parameters of one category were updated, the intensity maps of all fields were re-optimized and the plan dose was subsequently re-calculated. When final plan arrived, the dose statistics were calculated from both plans and compared. Results: For planned target volume (PTV), the dose for 95% volume is up to 10% higher in plans using the automated method than those using the manual method. For critical organs, an average decrease of the plan dose was achieved. However, the automated method cannot improve the plan dose for some critical organs due to limitations of the inference rules currently employed. For normal tissue, there was no significant difference between plan doses achieved by either automated or manual method. Conclusion: With the application of AI-guided method, the basic parameter adjustment task can be accomplished automatically and a comparable plan dose was achieved in comparison with that achieved by the manual

Evaluation of an artificial intelligence guided inverse planning system: clinical case study.

Science.gov (United States)

Yan, Hui; Yin, Fang-Fang; Willett, Christopher

2007-04-01

An artificial intelligence (AI) guided method for parameter adjustment of inverse planning was implemented on a commercial inverse treatment planning system. For evaluation purpose, four typical clinical cases were tested and the results from both plans achieved by automated and manual methods were compared. The procedure of parameter adjustment mainly consists of three major loops. Each loop is in charge of modifying parameters of one category, which is carried out by a specially customized fuzzy inference system. A physician prescribed multiple constraints for a selected volume were adopted to account for the tradeoff between prescription dose to the PTV and dose-volume constraints for critical organs. The searching process for an optimal parameter combination began with the first constraint, and proceeds to the next until a plan with acceptable dose was achieved. The initial setup of the plan parameters was the same for each case and was adjusted independently by both manual and automated methods. After the parameters of one category were updated, the intensity maps of all fields were re-optimized and the plan dose was subsequently re-calculated. When final plan arrived, the dose statistics were calculated from both plans and compared. For planned target volume (PTV), the dose for 95% volume is up to 10% higher in plans using the automated method than those using the manual method. For critical organs, an average decrease of the plan dose was achieved. However, the automated method cannot improve the plan dose for some critical organs due to limitations of the inference rules currently employed. For normal tissue, there was no significant difference between plan doses achieved by either automated or manual method. With the application of AI-guided method, the basic parameter adjustment task can be accomplished automatically and a comparable plan dose was achieved in comparison with that achieved by the manual method. Future improvements to incorporate case

When does treatment plan optimization require inverse planning?

International Nuclear Information System (INIS)

Sherouse, George W.

1995-01-01

which the most sophisticated techniques of inverse planning represent a cost-effective solution is relatively small, and that surprisingly simple optimization techniques (and correspondingly simple treatment delivery techniques) can reliably produce acceptable results for the majority of routine conformal radiotherapy practice

Employee-Driven Innovation (EDI)

DEFF Research Database (Denmark)

Kesting, Peter; Ulhøi, John Parm

  The responsibility to be innovative and think of useful ideas and the privilege of making decisions in processes of innovation are typically restricted to specifically assigned R&D functions and/or upper echelon managers. Given the importance of innovation to most organizations, it may seem...

Applying and incorporating user driven innovation when designing concepts

DEFF Research Database (Denmark)

Thorp Hansen, Claus; Brønnum, Louise

This paper addresses the difficulties seen when working within the user driven innovation [UDI] paradigm. We examine some of the circumstances that often make it difficult to work with user insights in concept design. UDI has become a recognized design approach, but has not yet accommodated...... a design practice explicitly considering the type of user insights this approach implies. For that reason UDI has yet to prove itself and its potential effect; a study of Danish initiative “program for user driven innovation” has shown little effect in this regard. However it has shown that radical new...... insights have been produced but at the same time to abstract when integrated in the design process. We will discuss and propose a framework for working with user insights in concept design, based on existing concept frameworks but actively addressing and incorporating user insights as a new type of input...

Addressing curricular innovation in a multi-stakeholder environment: Planning to change

OpenAIRE

Enslen, Todd

2001-01-01

As language innovations move outside the boundaries of autonomous departmental units, the process of change through the planning, design and implementation phases become more complex. Therefore, there is a greater need for awareness of the steps in the innovation process. This is especially true for the planning process since the adoption decision is divided amongst potentially numerous potential adopters. This paper will present a case study of curricular innovation, a move from an EAP to an...

Electrochemically driven emulsion inversion

Science.gov (United States)

Johans, Christoffer; Kontturi, Kyösti

2007-09-01

It is shown that emulsions stabilized by ionic surfactants can be inverted by controlling the electrical potential across the oil-water interface. The potential dependent partitioning of sodium dodecyl sulfate (SDS) was studied by cyclic voltammetry at the 1,2-dichlorobenzene|water interface. In the emulsion the potential control was achieved by using a potential-determining salt. The inversion of a 1,2-dichlorobenzene-in-water (O/W) emulsion stabilized by SDS was followed by conductometry as a function of added tetrapropylammonium chloride. A sudden drop in conductivity was observed, indicating the change of the continuous phase from water to 1,2-dichlorobenzene, i.e. a water-in-1,2-dichlorobenzene emulsion was formed. The inversion potential is well in accordance with that predicted by the hydrophilic-lipophilic deviation if the interfacial potential is appropriately accounted for.

Inverse energy cascade and emergence of large coherent vortices in turbulence driven by Faraday waves.

Science.gov (United States)

Francois, N; Xia, H; Punzmann, H; Shats, M

2013-05-10

We report the generation of large coherent vortices via inverse energy cascade in Faraday wave driven turbulence. The motion of floaters in the Faraday waves is three dimensional, but its horizontal velocity fluctuations show unexpected similarity with two-dimensional turbulence. The inverse cascade is detected by measuring frequency spectra of the Lagrangian velocity, and it is confirmed by computing the third moment of the horizontal velocity fluctuations. This is observed in deep water in a broad range of wavelengths and vertical accelerations. The results broaden the scope of recent findings on Faraday waves in thin layers [A. von Kameke et al., Phys. Rev. Lett. 107, 074502 (2011)].

Threshold-driven optimization for reference-based auto-planning

Science.gov (United States)

Long, Troy; Chen, Mingli; Jiang, Steve; Lu, Weiguo

2018-02-01

We study threshold-driven optimization methodology for automatically generating a treatment plan that is motivated by a reference DVH for IMRT treatment planning. We present a framework for threshold-driven optimization for reference-based auto-planning (TORA). Commonly used voxel-based quadratic penalties have two components for penalizing under- and over-dosing of voxels: a reference dose threshold and associated penalty weight. Conventional manual- and auto-planning using such a function involves iteratively updating the preference weights while keeping the thresholds constant, an unintuitive and often inconsistent method for planning toward some reference DVH. However, driving a dose distribution by threshold values instead of preference weights can achieve similar plans with less computational effort. The proposed methodology spatially assigns reference DVH information to threshold values, and iteratively improves the quality of that assignment. The methodology effectively handles both sub-optimal and infeasible DVHs. TORA was applied to a prostate case and a liver case as a proof-of-concept. Reference DVHs were generated using a conventional voxel-based objective, then altered to be either infeasible or easy-to-achieve. TORA was able to closely recreate reference DVHs in 5-15 iterations of solving a simple convex sub-problem. TORA has the potential to be effective for auto-planning based on reference DVHs. As dose prediction and knowledge-based planning becomes more prevalent in the clinical setting, incorporating such data into the treatment planning model in a clear, efficient way will be crucial for automated planning. A threshold-focused objective tuning should be explored over conventional methods of updating preference weights for DVH-guided treatment planning.

An efficient inverse radiotherapy planning method for VMAT using quadratic programming optimization.

Science.gov (United States)

Hoegele, W; Loeschel, R; Merkle, N; Zygmanski, P

2012-01-01

The purpose of this study is to investigate the feasibility of an inverse planning optimization approach for the Volumetric Modulated Arc Therapy (VMAT) based on quadratic programming and the projection method. The performance of this method is evaluated against a reference commercial planning system (eclipse(TM) for rapidarc(TM)) for clinically relevant cases. The inverse problem is posed in terms of a linear combination of basis functions representing arclet dose contributions and their respective linear coefficients as degrees of freedom. MLC motion is decomposed into basic motion patterns in an intuitive manner leading to a system of equations with a relatively small number of equations and unknowns. These equations are solved using quadratic programming under certain limiting physical conditions for the solution, such as the avoidance of negative dose during optimization and Monitor Unit reduction. The modeling by the projection method assures a unique treatment plan with beneficial properties, such as the explicit relation between organ weightings and the final dose distribution. Clinical cases studied include prostate and spine treatments. The optimized plans are evaluated by comparing isodose lines, DVH profiles for target and normal organs, and Monitor Units to those obtained by the clinical treatment planning system eclipse(TM). The resulting dose distributions for a prostate (with rectum and bladder as organs at risk), and for a spine case (with kidneys, liver, lung and heart as organs at risk) are presented. Overall, the results indicate that similar plan qualities for quadratic programming (QP) and rapidarc(TM) could be achieved at significantly more efficient computational and planning effort using QP. Additionally, results for the quasimodo phantom [Bohsung et al., "IMRT treatment planning: A comparative inter-system and inter-centre planning exercise of the estro quasimodo group," Radiother. Oncol. 76(3), 354-361 (2005)] are presented as an example

Planning innovation for better urban communities in sub-Saharan ...

African Journals Online (AJOL)

Planning innovation for better urban communities in sub-Saharan Africa: The education ... This is at a time when Africa is urbanising faster than any other region ... management are yet to be thoroughly analysed and rethought in planning ...

3D inverse treatment planning for the tandem and ovoid applicator in cervical cancer

International Nuclear Information System (INIS)

DeWitt, Kelly D.; Hsu, I. Chow Joe; Speight, Joycelyn; Weinberg, Vivian K.; Lessard, Etienne; Pouliot, Jean

2005-01-01

Purpose: Three-dimensional treatment planning systems and inverse planning optimization for brachytherapy are becoming commercially available. Guidelines for target delineation and dose constrictions have not been established using this new software. In this study we describe a method of target delineation for the tandem and ovoids applicator. We then compare inverse planning dose distributions with the traditional methods of prescribing dose. Methods and Materials: Target and organ-at-risk volumes were defined using systematic guidelines on 15 patients treated in our department with high-dose-rate brachytherapy for cervical cancer using tandem and ovoids. High-dose-rate distributions were created according to three different dose optimization protocols: inverse planning simulated annealing (IPSA), point A, and point A with a normalization of 2 cc of the bladder receiving 80% of the dose (bladder-sparing method). An uniform cost function for dose constraints was applied to all IPSA generated plans, and no manual optimization was allowed for any planning method. Results: Guidelines for target and structure-at-risk volumes, as well as dose constraint cost functions, were established. Dose-volume histogram analysis showed that the IPSA algorithm indicated no difference in tumor coverage compared with point A optimization while decreasing dose to the bladder and rectum. The IPSA algorithm provided better target volume coverage compared with bladder-sparing method with equivalent doses to the bladder and rectum. Conclusion: This study uses a systematic approach for delineating target and organ-at-risk volumes and a uniform cost function for generating IPSA plans for cervical cancer using tandem and ovoids. Compared with conventional dose prescription methods, IPSA provides a consistent method of optimization that maintains or improves target coverage while decreasing dose to normal structures. Image-guided brachytherapy and inverse planning improve brachytherapy

Renewable energy-driven innovative energy-efficient desalination technologies

KAUST Repository

Ghaffour, NorEddine; Lattemann, Sabine; Missimer, Thomas M.; Ng, Kim Choon; Sinha, Shahnawaz; Amy, Gary L.

2014-01-01

Globally, the Kingdom of Saudi Arabia (KSA) desalinates the largest capacity of seawater but through energy-intensive thermal processes such as multi-stage flash (MSF) distillation (>10 kW h per m3 of desalinated water, including electrical and thermal energies). In other regions where fossil energy is more expensive and not subsidized, seawater reverse osmosis (SWRO) is the most common desalination technology but it is still energy-intensive (3-4 kW h_e/m3). Both processes therefore lead to the emission of significant amounts of greenhouse gases (GHGs). Moreover, MSF and SWRO technologies are most often used for large desalination facilities serving urban centers with centralized water distribution systems and power grids. While renewable energy (RE) sources could be used to serve centralized systems in urban centers and thus provide an opportunity to make desalination greener, they are mostly used to serve rural communities off of the grid. In the KSA, solar and geothermal energy are of most relevance in terms of local conditions. Our group is focusing on developing new desalination processes, adsorption desalination (AD) and membrane distillation (MD), which can be driven by waste heat, geothermal or solar energy. A demonstration solar-powered AD facility has been constructed and a life cycle assessment showed that a specific energy consumption of <1.5 kW h_e/m3 is possible. An innovative hybrid approach has also been explored which would combine solar and geothermal energy using an alternating 12-h cycle to reduce the probability of depleting the heat source within the geothermal reservoir and provide the most effective use of RE without the need for energy storage. This paper highlights the use of RE for desalination in KSA with a focus on our group's contribution in developing innovative low energy-driven desalination technologies. © 2014 Elsevier Ltd. All rights reserved.

Renewable energy-driven innovative energy-efficient desalination technologies

KAUST Repository

Ghaffour, Noreddine

2014-04-13

Globally, the Kingdom of Saudi Arabia (KSA) desalinates the largest capacity of seawater but through energy-intensive thermal processes such as multi-stage flash (MSF) distillation (>10 kW h per m3 of desalinated water, including electrical and thermal energies). In other regions where fossil energy is more expensive and not subsidized, seawater reverse osmosis (SWRO) is the most common desalination technology but it is still energy-intensive (3-4 kW h_e/m3). Both processes therefore lead to the emission of significant amounts of greenhouse gases (GHGs). Moreover, MSF and SWRO technologies are most often used for large desalination facilities serving urban centers with centralized water distribution systems and power grids. While renewable energy (RE) sources could be used to serve centralized systems in urban centers and thus provide an opportunity to make desalination greener, they are mostly used to serve rural communities off of the grid. In the KSA, solar and geothermal energy are of most relevance in terms of local conditions. Our group is focusing on developing new desalination processes, adsorption desalination (AD) and membrane distillation (MD), which can be driven by waste heat, geothermal or solar energy. A demonstration solar-powered AD facility has been constructed and a life cycle assessment showed that a specific energy consumption of <1.5 kW h_e/m3 is possible. An innovative hybrid approach has also been explored which would combine solar and geothermal energy using an alternating 12-h cycle to reduce the probability of depleting the heat source within the geothermal reservoir and provide the most effective use of RE without the need for energy storage. This paper highlights the use of RE for desalination in KSA with a focus on our group\\'s contribution in developing innovative low energy-driven desalination technologies. © 2014 Elsevier Ltd. All rights reserved.

Expected treatment dose construction and adaptive inverse planning optimization: Implementation for offline head and neck cancer adaptive radiotherapy

Energy Technology Data Exchange (ETDEWEB)

Yan Di; Liang Jian [Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan 48073 (United States)

2013-02-15

Purpose: To construct expected treatment dose for adaptive inverse planning optimization, and evaluate it on head and neck (h and n) cancer adaptive treatment modification. Methods: Adaptive inverse planning engine was developed and integrated in our in-house adaptive treatment control system. The adaptive inverse planning engine includes an expected treatment dose constructed using the daily cone beam (CB) CT images in its objective and constrains. Feasibility of the adaptive inverse planning optimization was evaluated retrospectively using daily CBCT images obtained from the image guided IMRT treatment of 19 h and n cancer patients. Adaptive treatment modification strategies with respect to the time and the number of adaptive inverse planning optimization during the treatment course were evaluated using the cumulative treatment dose in organs of interest constructed using all daily CBCT images. Results: Expected treatment dose was constructed to include both the delivered dose, to date, and the estimated dose for the remaining treatment during the adaptive treatment course. It was used in treatment evaluation, as well as in constructing the objective and constraints for adaptive inverse planning optimization. The optimization engine is feasible to perform planning optimization based on preassigned treatment modification schedule. Compared to the conventional IMRT, the adaptive treatment for h and n cancer illustrated clear dose-volume improvement for all critical normal organs. The dose-volume reductions of right and left parotid glands, spine cord, brain stem and mandible were (17 {+-} 6)%, (14 {+-} 6)%, (11 {+-} 6)%, (12 {+-} 8)%, and (5 {+-} 3)% respectively with the single adaptive modification performed after the second treatment week; (24 {+-} 6)%, (22 {+-} 8)%, (21 {+-} 5)%, (19 {+-} 8)%, and (10 {+-} 6)% with three weekly modifications; and (28 {+-} 5)%, (25 {+-} 9)%, (26 {+-} 5)%, (24 {+-} 8)%, and (15 {+-} 9)% with five weekly modifications. Conclusions

Projects of Strategic Action Plan of S&T Innovation

Institute of Scientific and Technical Information of China (English)

无

2002-01-01

@@ In July 2001, CAS decided to shift the focus of the current Knowledge Innovation Program (KIP) onto research projects designed to meet the country's strategic needs, and Iaunched the strategic action plan of innovation (SAPI). Under the SAPI, CAS organized the implementation of seven major projects in 2001.The followings are their profiles.

Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks

Directory of Open Access Journals (Sweden)

Min-Ren Yan

2018-03-01

Full Text Available National policies for science parks and innovation have been identified as one of the major driving forces for the innovation-driven economy, especially for publicly funded science parks. To investigate this collaborative ecosystem (government-academia-industry for growth and sustainable development, this paper proposes a nation-wide economic impact analysis of science parks and innovation policy based on historical data drawn from one of the globally recognized high-technology industrial clusters in Taiwan. Systems thinking with causal loop analysis are adopted to improve our understanding of the collaborative ecosystem with science park policies. First, from a holistic viewpoint, the role of government in a science parks and innovation ecosystem is reviewed. A systems analysis of an innovation-driven economy with a science park policy is presented as a strategy map for policy implementers. Second, the added economic value and employment of the benchmarked science parks is evaluated from a long range perspective. Third, the concepts of government-academia-industry collaboration and policies to innovation ecosystem are introduced while addressing the measures and performance of innovation and applied R&D in the science parks. We conclude with a discussion of lessons learned and the policy implications of science park development and an innovation ecosystem.

Concepts and Policy Innovations in the National Education Plan

Science.gov (United States)

Yinfu, Yang

2017-01-01

The theme of the "Outline of the National Mid- to Long-Term Plan for Education Reform and Development (2010-2020)" is building a nation rich in human resources, its primary thread is promoting the scientific development of education, and its soul is reform and innovation. The important concepts and policy innovations of the National…

Pre-clinical evaluation of an inverse planning module for segmental MLC based IMRT delivery

International Nuclear Information System (INIS)

Georg, Dietmar; Kroupa, Bernhard

2002-01-01

Phantom tests are performed for pre-clinical evaluation of a commercial inverse planning system (HELAX TMS, V 6.0) for segmented multileaf collimator (MLC) intensity modulated radiotherapy (IMRT) delivery. The optimization module has available two optimization algorithms: the target primary feasibility and the weighted feasibility algorithm, only the latter allows the user to specify weights for structures. In the first series, single beam tests are performed to evaluate the outcome of inverse planning in terms of plausibility for the following situations: oblique incidence, presence of inhomogeneities, multiple targets at different depths and multiple targets with different desired doses. Additionally, for these tests a manual plan is made for comparison. In the absence of organs at risk, both the optimization algorithms are found to assign the highest priority to low dose constraints for targets. In the second series, tests resembling clinical relevant configurations (simultaneous boost and concave target with critical organ) are performed with multiple beam arrangements in order to determine the impact of the system's configuration on inverse planning. It is found that the definition of certain segment number and segment size limitations does not largely compromise treatment plans when using multiple beams. On the other hand, these limitations are important for delivery efficiency and dosimetry. For the number of iterations and voxels per volume of interest, standard values in the system's configuration are considered to be sufficient. Additionally, it is demonstrated that precautions must be taken to precisely define treatment goals when using computerized treatment optimization. Similar phantom tests could be used for a direct dosimetric verification of all steps from inverse treatment planning to IMRT delivery. (note)

Services for People Innovation Park – Planning Methodologies

OpenAIRE

Maria Angela Campelo de Melo; Lygia Magalhães Magacho

2013-01-01

This article aims to identify appropriate methodologies for the planning of a Services for People Innovation Park-SPIP, designed according to the model proposed by the Ibero-American Network launched by La Salle University of Madrid. Projected to form a network, these parks were conceived to provoke social change in their region, improving quality of life and social welfare, through knowledge, technology and innovation transfer and creation of companies focused on developing product and servi...

The Trump tax plan halts inversions but increases treaty shopping

NARCIS (Netherlands)

Lejour, Arjen; Cnossen, Sybren; van 't Riet, Maarten

2017-01-01

Some US multinationals have displayed a willingness to relinquish their American nationality and move their headquarters abroad. Such ‘inversions’ generally aim to avoid and minimise taxes. This column argues that the new Trump tax plan is likely to halt tax inversions by US multinationals. However,

The challenge of a greener European construction sector: Views on technology-driven (eco)innovation

DEFF Research Database (Denmark)

Jofre, Sergio

, particular emphasis is given to the description and discussion of technology-driven eco-innovation initiatives such us nanotechnologies for a greener construction. Although the scope of this report covers the European construction sector, most data presented is at an EU scale. In this context, particular...

Digital Mental Health - Innovations in Consumer Driven Care.

Science.gov (United States)

Ackerman, Mary Lou; Virani, Tazim; Billings, Barry

2017-01-01

Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from seeking help. Saint Elizabeth Health Care's IntelligentCare™ Platform supports a range of digital health solutions for holistic health including three specific innovations: a secure social networking tool, an artificial intelligence-driven assistant that uses conversational cognitive behaviour therapy techniques, and a mobile mindfulness meditation application that generates personalized meditation suggestions. People use these self-help tools to cope with their mental health challenges. Healthcare providers are encouraged to explore the benefits and drawbacks of digital solutions for mental health, and consider the new skills, ethical implications and research opportunities that are needed when supporting patients who use these digital tools. © 2017 Longwoods Publishing.

Older adults' motivated choice for technological innovation: evidence for benefit-driven selectivity.

Science.gov (United States)

Melenhorst, Anne-Sophie; Rogers, Wendy A; Bouwhuis, Don G

2006-03-01

This study examined older adults' motivation to adopt technological innovation. Sixty-eight older e-mail users and nonusers discussed the use of e-mail and of traditional communication methods in 18 focus groups. The results show older adults' benefit-driven approach to new communication technology. Regardless of whether their decision about the new technology was positive or negative and irrespective of their e-mail experience, participants focused on benefits rather than costs. For traditional media, both costs and benefits were important. Results contradict the common belief that barriers such as usability problems determine whether older people use new technology and indicate the decisive role of perceived benefits for successful innovation. ((c) 2006 APA, all rights reserved).

From analytic inversion to contemporary IMRT optimization: radiation therapy planning revisited from a mathematical perspective.

Science.gov (United States)

Censor, Yair; Unkelbach, Jan

2012-04-01

In this paper we look at the development of radiation therapy treatment planning from a mathematical point of view. Historically, planning for Intensity-Modulated Radiation Therapy (IMRT) has been considered as an inverse problem. We discuss first the two fundamental approaches that have been investigated to solve this inverse problem: Continuous analytic inversion techniques on one hand, and fully-discretized algebraic methods on the other hand. In the second part of the paper, we review another fundamental question which has been subject to debate from the beginning of IMRT until the present day: The rotation therapy approach versus fixed angle IMRT. This builds a bridge from historic work on IMRT planning to contemporary research in the context of Intensity-Modulated Arc Therapy (IMAT). Copyright © 2011 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

An Innovative Approach to Balancing Chemical-Reaction Equations: A Simplified Matrix-Inversion Technique for Determining The Matrix Null Space

OpenAIRE

Thorne, Lawrence R.

2011-01-01

I propose a novel approach to balancing equations that is applicable to all chemical-reaction equations; it is readily accessible to students via scientific calculators and basic computer spreadsheets that have a matrix-inversion application. The new approach utilizes the familiar matrix-inversion operation in an unfamiliar and innovative way; its purpose is not to identify undetermined coefficients as usual, but, instead, to compute a matrix null space (or matrix kernel). The null space then...

Une approche de conception intégrée vers des feuilles de route d’innovation et la planification stratégique de la production

OpenAIRE

Flatscher , Martina

2017-01-01

The fourth industrial revolution confronts industrial organizations with fundamental challenges to manufacturing innovation which companies attempt to face by employing strategic planning approaches. The high levels of risk and uncertainty intrinsically linked to such planning activities are driven by the necessity of reacting to the rapidly increasing innovation pressure exerted on manufacturing companies, in particular in technology-driven sectors such as automotive. Since the impact of inn...

Data-Driven Innovation through Open Government Data

DEFF Research Database (Denmark)

Jetzek, Thorhildur; Avital, Michel; Bjørn-Andersen, Niels

2014-01-01

The exponentially growing production of data and the social trend towards openness and sharing are power-ful forces that are changing the global economy and society. Governments around the world have become active participants in this evolution, opening up their data for access and reuse by public...... and private agents alike. The phenomenon of Open Government Data has spread around the world in the last four years, driven by the widely held belief that use of Open Government Data has the ability to generate both economic and social value. However, a cursory review of the popular press, as well...... as an investigation of academic research and empirical data, reveals the need to further understand the relationship between Open Government Data and value. In this paper, we focus on how use of Open Government Data can bring about new innovative solutions that can generate social and economic value. We apply...

Employee-Driven Innovation: A Brave New World in the Build Environment’s Project Organisations

DEFF Research Database (Denmark)

Sørensen, Henrik; Wandahl, Søren

2013-01-01

-driven innovation (EDI) could be such a methodology to implicate the spoken and tacit knowledge of the employees that would strengthen the innovative capabilities of the project organisations. To investigate the theoretical field around EDI a literature study was conducted. The overall objective was to develop...... a theoretical framework based on the field of EDI and related methodologies. This research resulted in two main findings. First; identification of the overall themes of the EDI field of research. Second; definition of an overall framework of methodologies to conduct EDI in project organisations. Furthermore...

City Labs as Vehicles for Innovation in Urban Planning Processes

Directory of Open Access Journals (Sweden)

Christian Scholl

2016-12-01

Full Text Available This paper assesses the role of urban experiments for local planning processes through a case-based analysis of the city lab of Maastricht. In conjunction with this, the article offers three contributions, as additional elements. Firstly, the paper develops a set of defining characteristics of city labs as an analytical concept which is relevant for discussions about (collaborative planning. Secondly, it refines the literature on collaborative planning by drawing attention to experimentation and innovation. Thirdly, the paper assesses the potential of city labs to contribute to the innovation of urban governance. The work draws from the literature on experimentation and learning as well as the literature on collaborative urban planning. In the conclusions, we discuss the potential of city labs as vehicles for learning about new urban planning approaches and their limitations as spaces for small-scale experimentation. The paper is based on research for the URB@Exp research project funded by JPI Urban Europe.

The use of mixed-integer programming for inverse treatment planning with pre-defined field segments

International Nuclear Information System (INIS)

Bednarz, Greg; Michalski, Darek; Houser, Chris; Huq, M. Saiful; Xiao Ying; Rani, Pramila Anne; Galvin, James M.

2002-01-01

Complex intensity patterns generated by traditional beamlet-based inverse treatment plans are often very difficult to deliver. In the approach presented in this work the intensity maps are controlled by pre-defining field segments to be used for dose optimization. A set of simple rules was used to define a pool of allowable delivery segments and the mixed-integer programming (MIP) method was used to optimize segment weights. The optimization problem was formulated by combining real variables describing segment weights with a set of binary variables, used to enumerate voxels in targets and critical structures. The MIP method was compared to the previously used Cimmino projection algorithm. The field segmentation approach was compared to an inverse planning system with a traditional beamlet-based beam intensity optimization. In four complex cases of oropharyngeal cancer the segmental inverse planning produced treatment plans, which competed with traditional beamlet-based IMRT plans. The mixed-integer programming provided mechanism for imposition of dose-volume constraints and allowed for identification of the optimal solution for feasible problems. Additional advantages of the segmental technique presented here are: simplified dosimetry, quality assurance and treatment delivery. (author)

Treatment planning for multicatheter interstitial brachytherapy of breast cancer – from Paris system to anatomy-based inverse planning

Directory of Open Access Journals (Sweden)

Tibor Major

2017-02-01

Full Text Available In the last decades, treatment planning for multicatheter interstitial breast brachytherapy has evolved considerably from fluoroscopy-based 2D to anatomy-based 3D planning. To plan the right positions of the catheters, ultrasound or computed tomography (CT imaging can be used, but the treatment plan is always based on postimplant CT images. With CT imaging, the 3D target volume can be defined more precisely and delineation of the organs at risk volumes is also possible. Consequently, parameters calculated from dose-volume histogram can be used for quantitative plan evaluation. The catheter reconstruction is also easier and faster on CT images compared to X-ray films. In high dose rate brachytherapy, using a stepping source, a number of forward dose optimization methods (manual, geometrical, on dose points, graphical are available to shape the dose distribution to the target volume, and these influence dose homogeneities to different extent. Currently, inverse optimization algorithms offer new possibilities to improve dose distributions further considering the requirements for dose coverage, dose homogeneity, and dose to organs at risk simultaneously and automatically. In this article, the evolvement of treatment planning for interstitial breast implants is reviewed, different forward optimization methods are discussed, and dose-volume parameters used for quantitative plan evaluation are described. Finally, some questions of the inverse optimization method are investigated and initial experiences of the authors are presented.

Does strategic planning enhance or impede innovation and firm performance

NARCIS (Netherlands)

Song, Michael; Im, Subin; van der Bijl, H.M.; Song, Lisa Z.

2011-01-01

Does strategic planning enhance or impede innovation and firm performance? The current literature provides contradictory views. This study extends the resource-advantage theory to examine the conditions in which strategic planning increases or decreases the number of new product development projects

Does strategic planning enhance or impede innovation and firm performance?

NARCIS (Netherlands)

Song, Michael; Im, Subin; van der Bij, Hans; Song, Lisa Z.

Does strategic planning enhance or impede innovation and firm performance? The current literature provides contradictory views. This study extends the resource-advantage theory to examine the conditions in which strategic planning increases or decreases the number of new product development projects

Intervention Framework to Support Employee-Driven Innovation Between R&D and Manufacturing Department

DEFF Research Database (Denmark)

Jensen, Christian Schou; Jensen, Anna Rose Vagn; Broberg, Ole

2016-01-01

This paper is exploring the area of employee-driven innovation (EDI) and describes how we in ourresearch project have developed and tested a framework for initiating employee participation between R&D and manufacturing department. EDI refers to the generation and implementation of significant new...... [Kesting andUlhøi 2010]. It is argued that companies should not restrict themselves to relying exclusively on R&D employees, but also recognize that manufacturing employees possess abilities for innovation [Høyrup2010]. Several other theories, such as high-involvement innovation share the conviction...... et al. 2013]. • It can generate a flow of additional information and tacit knowledge from employees to point out opportunities that management cannot [Kesting and Ulhøi 2010].With a long list of known benefits from EDI, one might wonder why it is not implemented everywhere? The list of EDI obstacles...

Five Recession-Driven Strategies for Planning and Managing Campus Facilities

Science.gov (United States)

Rudden, Michael S.

2010-01-01

Colleges and universities continue to face significant fiscal challenges in the current recession. A review of ongoing campus facilities planning projects, coupled with a review of more than 30 recent campus master planning requests for proposals and the relevant literature, indicates that colleges and universities are finding innovative ways to…

Complexity in Design-Driven Innovation: A Case Study of Knowledge Transfer Flow in Subsea Seismic Sensor Technology and Design Education

Science.gov (United States)

Pavel, Nenad; Berg, Arild

2015-01-01

To the extent previously claimed, concept exploration is not the key to product innovation. However, companies that are design-focused are twice as innovative as those that are not. To study design-driven innovation and its occurrence in design education, two case studies are conducted. The first is an example of design practice which includes…

Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery

Energy Technology Data Exchange (ETDEWEB)

Vandewouw, Marlee M., E-mail: marleev@mie.utoronto.ca; Aleman, Dionne M. [Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8 (Canada); Jaffray, David A. [Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9 (Canada)

2016-08-15

Purpose: Continuous dose delivery in radiation therapy treatments has been shown to decrease total treatment time while improving the dose conformity and distribution homogeneity over the conventional step-and-shoot approach. The authors develop an inverse treatment planning method for Gamma Knife® Perfexion™ that continuously delivers dose along a path in the target. Methods: The authors’ method is comprised of two steps: find a path within the target, then solve a mixed integer optimization model to find the optimal collimator configurations and durations along the selected path. Robotic path-finding techniques, specifically, simultaneous localization and mapping (SLAM) using an extended Kalman filter, are used to obtain a path that travels sufficiently close to selected isocentre locations. SLAM is novelly extended to explore a 3D, discrete environment, which is the target discretized into voxels. Further novel extensions are incorporated into the steering mechanism to account for target geometry. Results: The SLAM method was tested on seven clinical cases and compared to clinical, Hamiltonian path continuous delivery, and inverse step-and-shoot treatment plans. The SLAM approach improved dose metrics compared to the clinical plans and Hamiltonian path continuous delivery plans. Beam-on times improved over clinical plans, and had mixed performance compared to Hamiltonian path continuous plans. The SLAM method is also shown to be robust to path selection inaccuracies, isocentre selection, and dose distribution. Conclusions: The SLAM method for continuous delivery provides decreased total treatment time and increased treatment quality compared to both clinical and inverse step-and-shoot plans, and outperforms existing path methods in treatment quality. It also accounts for uncertainty in treatment planning by accommodating inaccuracies.

Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery

International Nuclear Information System (INIS)

Vandewouw, Marlee M.; Aleman, Dionne M.; Jaffray, David A.

2016-01-01

Purpose: Continuous dose delivery in radiation therapy treatments has been shown to decrease total treatment time while improving the dose conformity and distribution homogeneity over the conventional step-and-shoot approach. The authors develop an inverse treatment planning method for Gamma Knife® Perfexion™ that continuously delivers dose along a path in the target. Methods: The authors’ method is comprised of two steps: find a path within the target, then solve a mixed integer optimization model to find the optimal collimator configurations and durations along the selected path. Robotic path-finding techniques, specifically, simultaneous localization and mapping (SLAM) using an extended Kalman filter, are used to obtain a path that travels sufficiently close to selected isocentre locations. SLAM is novelly extended to explore a 3D, discrete environment, which is the target discretized into voxels. Further novel extensions are incorporated into the steering mechanism to account for target geometry. Results: The SLAM method was tested on seven clinical cases and compared to clinical, Hamiltonian path continuous delivery, and inverse step-and-shoot treatment plans. The SLAM approach improved dose metrics compared to the clinical plans and Hamiltonian path continuous delivery plans. Beam-on times improved over clinical plans, and had mixed performance compared to Hamiltonian path continuous plans. The SLAM method is also shown to be robust to path selection inaccuracies, isocentre selection, and dose distribution. Conclusions: The SLAM method for continuous delivery provides decreased total treatment time and increased treatment quality compared to both clinical and inverse step-and-shoot plans, and outperforms existing path methods in treatment quality. It also accounts for uncertainty in treatment planning by accommodating inaccuracies.

Incorporating organ movements in IMRT treatment planning for prostate cancer: Minimizing uncertainties in the inverse planning process

International Nuclear Information System (INIS)

Unkelbach, Jan; Oelfke, Uwe

2005-01-01

We investigate an off-line strategy to incorporate inter fraction organ movements in IMRT treatment planning. Nowadays, imaging modalities located in the treatment room allow for several CT scans of a patient during the course of treatment. These multiple CT scans can be used to estimate a probability distribution of possible patient geometries. This probability distribution can subsequently be used to calculate the expectation value of the delivered dose distribution. In order to incorporate organ movements into the treatment planning process, it was suggested that inverse planning could be based on that probability distribution of patient geometries instead of a single snapshot. However, it was shown that a straightforward optimization of the expectation value of the dose may be insufficient since the expected dose distribution is related to several uncertainties: first, this probability distribution has to be estimated from only a few images. And second, the distribution is only sparsely sampled over the treatment course due to a finite number of fractions. In order to obtain a robust treatment plan these uncertainties should be considered and minimized in the inverse planning process. In the current paper, we calculate a 3D variance distribution in addition to the expectation value of the dose distribution which are simultaniously optimized. The variance is used as a surrogate to quantify the associated risks of a treatment plan. The feasibility of this approach is demonstrated for clinical data of prostate patients. Different scenarios of dose expectation values and corresponding variances are discussed

Three dimensional intensity modulated brachytherapy (IMBT): Dosimetry algorithm and inverse treatment planning

International Nuclear Information System (INIS)

Shi Chengyu; Guo Bingqi; Cheng, Chih-Yao; Esquivel, Carlos; Eng, Tony; Papanikolaou, Niko

2010-01-01

Purpose: The feasibility of intensity modulated brachytherapy (IMBT) to improve dose conformity for irregularly shaped targets has been previously investigated by researchers by means of using partially shielded sources. However, partial shielding does not fully explore the potential of IMBT. The goal of this study is to introduce the concept of three dimensional (3D) intensity modulated brachytherapy and solve two fundamental issues regarding the application of 3D IMBT treatment planning: The dose calculation algorithm and the inverse treatment planning method. Methods: A 3D IMBT treatment planning system prototype was developed using the MATLAB platform. This system consists of three major components: (1) A comprehensive IMBT source calibration method with dosimetric inputs from Monte Carlo (EGSnrc) simulations; (2) a ''modified TG-43'' (mTG-43) dose calculation formalism for IMBT dosimetry; and (3) a physical constraint based inverse IMBT treatment planning platform utilizing a simulated annealing optimization algorithm. The model S700 Axxent electronic brachytherapy source developed by Xoft, Inc. (Fremont, CA), was simulated in this application. Ten intracavitary accelerated partial breast irradiation (APBI) cases were studied. For each case, an ''isotropic plan'' with only optimized source dwell time and a fully optimized IMBT plan were generated and compared to the original plan in various dosimetric aspects, such as the plan quality, planning, and delivery time. The issue of the mechanical complexity of the IMBT applicator is not addressed in this study. Results: IMBT approaches showed superior plan quality compared to the original plans and the isotropic plans to different extents in all studied cases. An extremely difficult case with a small breast and a small distance to the ribs and skin, the IMBT plan minimized the high dose volume V 200 by 16.1% and 4.8%, respectively, compared to the original and the isotropic plans. The conformity index for the

Three dimensional intensity modulated brachytherapy (IMBT): Dosimetry algorithm and inverse treatment planning

Energy Technology Data Exchange (ETDEWEB)

Shi Chengyu; Guo Bingqi; Cheng, Chih-Yao; Esquivel, Carlos; Eng, Tony; Papanikolaou, Niko [Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229 (United States); Department of Radiation Oncology, Oklahoma University Health Science Center, Oklahoma City, Oklahoma 73104 (United States); Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229 (United States)

2010-07-15

Purpose: The feasibility of intensity modulated brachytherapy (IMBT) to improve dose conformity for irregularly shaped targets has been previously investigated by researchers by means of using partially shielded sources. However, partial shielding does not fully explore the potential of IMBT. The goal of this study is to introduce the concept of three dimensional (3D) intensity modulated brachytherapy and solve two fundamental issues regarding the application of 3D IMBT treatment planning: The dose calculation algorithm and the inverse treatment planning method. Methods: A 3D IMBT treatment planning system prototype was developed using the MATLAB platform. This system consists of three major components: (1) A comprehensive IMBT source calibration method with dosimetric inputs from Monte Carlo (EGSnrc) simulations; (2) a ''modified TG-43'' (mTG-43) dose calculation formalism for IMBT dosimetry; and (3) a physical constraint based inverse IMBT treatment planning platform utilizing a simulated annealing optimization algorithm. The model S700 Axxent electronic brachytherapy source developed by Xoft, Inc. (Fremont, CA), was simulated in this application. Ten intracavitary accelerated partial breast irradiation (APBI) cases were studied. For each case, an ''isotropic plan'' with only optimized source dwell time and a fully optimized IMBT plan were generated and compared to the original plan in various dosimetric aspects, such as the plan quality, planning, and delivery time. The issue of the mechanical complexity of the IMBT applicator is not addressed in this study. Results: IMBT approaches showed superior plan quality compared to the original plans and the isotropic plans to different extents in all studied cases. An extremely difficult case with a small breast and a small distance to the ribs and skin, the IMBT plan minimized the high dose volume V{sub 200} by 16.1% and 4.8%, respectively, compared to the original and the

Three dimensional intensity modulated brachytherapy (IMBT): dosimetry algorithm and inverse treatment planning.

Science.gov (United States)

Shi, Chengyu; Guo, Bingqi; Cheng, Chih-Yao; Esquivel, Carlos; Eng, Tony; Papanikolaou, Niko

2010-07-01

The feasibility of intensity modulated brachytherapy (IMBT) to improve dose conformity for irregularly shaped targets has been previously investigated by researchers by means of using partially shielded sources. However, partial shielding does not fully explore the potential of IMBT. The goal of this study is to introduce the concept of three dimensional (3D) intensity modulated brachytherapy and solve two fundamental issues regarding the application of 3D IMBT treatment planning: The dose calculation algorithm and the inverse treatment planning method. A 3D IMBT treatment planning system prototype was developed using the MATLAB platform. This system consists of three major components: (1) A comprehensive IMBT source calibration method with dosimetric inputs from Monte Carlo (EGSnrc) simulations; (2) a "modified TG-43" (mTG-43) dose calculation formalism for IMBT dosimetry; and (3) a physical constraint based inverse IMBT treatment planning platform utilizing a simulated annealing optimization algorithm. The model S700 Axxent electronic brachytherapy source developed by Xoft, Inc. (Fremont, CA), was simulated in this application. Ten intracavitary accelerated partial breast irradiation (APBI) cases were studied. For each case, an "isotropic plan" with only optimized source dwell time and a fully optimized IMBT plan were generated and compared to the original plan in various dosimetric aspects, such as the plan quality, planning, and delivery time. The issue of the mechanical complexity of the IMBT applicator is not addressed in this study. IMBT approaches showed superior plan quality compared to the original plans and tht isotropic plans to different extents in all studied cases. An extremely difficult case with a small breast and a small distance to the ribs and skin, the IMBT plan minimized the high dose volume V200 by 16.1% and 4.8%, respectively, compared to the original and the isotropic plans. The conformity index for the target was increased by 0.13 and 0

An innovative accelerator-driven inertial electrostatic confinement device using converging ion beams

International Nuclear Information System (INIS)

Bauer, T. H.; Wigeland, R. A.

1999-01-01

Fundamental physics issues facing development of fusion power on a small-scale are assessed with emphasis on the idea of Inertial Electrostatic Confinement (IEC). The authors propose a new concept of accelerator-driven IEC fusion, termed Converging Beam Inertial Electrostatic Confinement (CB-IEC). CB-IEC offers a number of innovative features that make it an attractive pathway toward resolving fundamental physics issues and assessing the ultimate viability of the IEC concept for power generation

Customer-Driven Supply Chains From Glass Pipelines to Open Innovation Networks

CERN Document Server

Lyons, Andrew C; Piller, Frank; Poler, Raúl

2012-01-01

In recent years, the supply chain has become a key element to the survival and prosperity of organisations in different industry sectors. Organisations dealing in dynamic business environments demand supply chains that support the satisfaction of customer needs. The principles of lean thinking that once permeated standalone organisations have now been transferred to the supply chain, making imperative the development of innovative approaches to supply chain management.    Customer-Driven Supply Chains: From Glass Pipelines to Open Innovation Networks reviews the concept of lean thinking and its relationship to other key initiatives associated with supply chain management. Detailed industrial case studies based on the authors’ experience illustrate the principles behind lean supply chains. Moreover, a series of diagrams are used to illustrate critical concepts and supply chain architectures. Special emphasis is placed on the importance of transferring lean principles from the organisational level to the s...

A scenario-driven approach for value, risk and cost analysis in system architecting for innovation

NARCIS (Netherlands)

Ionita, M.T.; America, P.H.M.; Hammer, D.K.; Obbink, J.H.; Trienekens, J.J.M.; Magee, J.; Szyperski, C.; Bosch, J.

2004-01-01

We present a quantitative method for scenario-driven value, risk, and cost analysis when proposing new system architectures for innovation projects. The method helps to articulate the relative benefits and/or disadvantages of the proposed set of scenarios in the early architecting phases of a new

Incorporating organ movements in inverse planning: assessing dose uncertainties by Bayesian inference

International Nuclear Information System (INIS)

Unkelbach, J; Oelfke, U

2005-01-01

We present a method to calculate dose uncertainties due to inter-fraction organ movements in fractionated radiotherapy, i.e. in addition to the expectation value of the dose distribution a variance distribution is calculated. To calculate the expectation value of the dose distribution in the presence of organ movements, one estimates a probability distribution of possible patient geometries. The respective variance of the expected dose distribution arises for two reasons: first, the patient is irradiated with a finite number of fractions only and second, the probability distribution of patient geometries has to be estimated from a small number of images and is therefore not exactly known. To quantify the total dose variance, we propose a method that is based on the principle of Bayesian inference. The method is of particular interest when organ motion is incorporated in inverse IMRT planning by means of inverse planning performed on a probability distribution of patient geometries. In order to make this a robust approach, it turns out that the dose variance should be considered (and minimized) in the optimization process. As an application of the presented concept of Bayesian inference, we compare three approaches to inverse planning based on probability distributions that account for an increasing degree of uncertainty. The Bayes theorem further provides a concept to interpolate between patient specific data and population-based knowledge on organ motion which is relevant since the number of CT images of a patient is typically small

Using measurable dosimetric quantities to characterize the inter-structural tradeoff in inverse planning

Science.gov (United States)

Liu, Hongcheng; Dong, Peng; Xing, Lei

2017-08-01

Traditional inverse planning relies on the use of weighting factors to balance the conflicting requirements of different structures. Manual trial-and-error determination of weighting factors has long been recognized as a time-consuming part of treatment planning. The purpose of this work is to develop an inverse planning framework that parameterizes the dosimetric tradeoff among the structures with physically meaningful quantities to simplify the search for clinically sensible plans. In this formalism, instead of using weighting factors, the permissible variation range of the prescription dose or dose volume histogram (DVH) of the involved structures are used to characterize the ‘importance’ of the structures. The inverse planning is then formulated into a convex feasibility problem, called the dosimetric variation-controlled model (DVCM), whose goal is to generate plans with dosimetric or DVH variations of the structures consistent with the pre-specified values. For simplicity, the dosimetric variation range for a structure is extracted from a library of previous cases which possess similar anatomy and prescription. A two-phase procedure (TPP) is designed to solve the model. The first phase identifies a physically feasible plan to satisfy the prescribed dosimetric variation, and the second phase automatically improves the plan in case there is room for further improvement. The proposed technique is applied to plan two prostate cases and two head-and-neck cases and the results are compared with those obtained using a conventional CVaR approach and with a moment-based optimization scheme. Our results show that the strategy is able to generate clinically sensible plans with little trial and error. In all cases, the TPP generates a very competitive plan as compared to those obtained using the alternative approaches. Particularly, in the planning of one of the head-and-neck cases, the TPP leads to a non-trivial improvement in the resultant dose distribution�

2010 Strategic national plan of Science Technology and Innovation PENCTI

International Nuclear Information System (INIS)

2010-07-01

The document presents the national strategic plan for Science Technology and Innovation, its history, premises, conceptual framework, the starting situation, guiding principles, strategic objectives and priority area such as new energy sources to diversify the national energy matrix, environment environment and preservation of natural resources, governance and private management with increasing levels of dependency with the development of strategic technology knowledge and innovation

Science-Driven Computing: NERSC's Plan for 2006-2010

Energy Technology Data Exchange (ETDEWEB)

Simon, Horst D.; Kramer, William T.C.; Bailey, David H.; Banda,Michael J.; Bethel, E. Wes; Craw, James M.; Fortney, William J.; Hules,John A.; Meyer, Nancy L.; Meza, Juan C.; Ng, Esmond G.; Rippe, Lynn E.; Saphir, William C.; Verdier, Francesca; Walter, Howard A.; Yelick,Katherine A.

2005-05-16

NERSC has developed a five-year strategic plan focusing on three components: Science-Driven Systems, Science-Driven Services, and Science-Driven Analytics. (1) Science-Driven Systems: Balanced introduction of the best new technologies for complete computational systems--computing, storage, networking, visualization and analysis--coupled with the activities necessary to engage vendors in addressing the DOE computational science requirements in their future roadmaps. (2) Science-Driven Services: The entire range of support activities, from high-quality operations and user services to direct scientific support, that enable a broad range of scientists to effectively use NERSC systems in their research. NERSC will concentrate on resources needed to realize the promise of the new highly scalable architectures for scientific discovery in multidisciplinary computational science projects. (3) Science-Driven Analytics: The architectural and systems enhancements and services required to integrate NERSC's powerful computational and storage resources to provide scientists with new tools to effectively manipulate, visualize, and analyze the huge data sets derived from simulations and experiments.

Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy

International Nuclear Information System (INIS)

Li Guoli; Song Gang; Wu Yican

2007-01-01

Inverse treatment planning for radiation therapy is a multi-objective optimization process. The hybrid multi-objective optimization algorithm is studied by combining the simulated annealing(SA) and genetic algorithm(GA). Test functions are used to analyze the efficiency of algorithms. The hybrid multi-objective optimization SA algorithm, which displacement is based on the evolutionary strategy of GA: crossover and mutation, is implemented in inverse planning of external beam radiation therapy by using two kinds of objective functions, namely the average dose distribution based and the hybrid dose-volume constraints based objective functions. The test calculations demonstrate that excellent converge speed can be achieved. (authors)

Innovation Insights in the Danish Facility Management Sector

DEFF Research Database (Denmark)

Scupola, Ada

Management (FM) has established itself as a key service sector, with a diverse and highly competitive market of FM contractors, in-house FM teams, FM suppliers, FM consultants, and professional FM institutions. Traditionally, innovation processes in service firms have often been characterised as being....... Results: The results show that for big service providers, innovation is a strategic activity and is conducted as a planned and systematic process. For FM service customer with their own FM department, the results are mixed: some of the FM departments have innovation as a strategic priority and clear...... innovation strategies while other FM departments do innovate without being aware that innovation is taking place. The “ICT Supplier/Consultants” are found to be innovative and their innovations are both driven by the user needs and by the desire to improve their competitiveness. Practical Implications...

A study of inverse planning by simulated annealing for photon beams modulated by a multileaf collimator

International Nuclear Information System (INIS)

Grant, Walter; Carol, Mark; Geis, Paul; Boyer, Arthur L.

1995-01-01

Purpose/Objective: To demonstrate the feasibility of inverse planning for multiple fixed-field conformal therapy with a prototype simulated annealing technique and to deliver the treatment plan with an engineering prototype dynamic multileaf collimator. Methods and Materials: A version of the NOMOS inverse-planning algorithm was used to compute weighting distributions over the areas of multiple fixed-gantry fields. The algorithm uses simulated annealing and a cost function based on physical dose. The algorithm is a modification of a NOMOS Peacock planning implementation being used clinically. The computed weighting distributions represented the relative intensities over small 0.5 cm x 1.0 cm areas of the fields. The inverse planning was carried out using a Sun Model 20 computer using four processors. Between five and nine fixed-gantry beams were used in the plans. The weighting distributions were rendered into leaf-setting sequences using an algorithm developed for use with a Varian experimental dynamic-multileaf collimator. The sequences were saved as computer files in a format that was used to drive the Varian control system. X-ray fields having 6-MV and 18-MV energies were planned and delivered using tumor target and sensitive structure volumes segmented from clinical CT scans. Results: The resulting beam-modulation sequences could be loaded into the accelerator control systems and initiated. Each fixed-gantry angle beam was delivered in 30 s to 50 s. The resulting dose distributions were measured in quasi-anatomical phantoms using film. Dose distributions that could achieve significant tissue-sparing were demonstrated. There was good agreement between the delivered dose distributions and the planned distributions. Conclusion: The prototype inverse-planning system under development by NOMOS can be integrated with the prototype dynamic-delivery system being developed by Varian Associates. Should these commercial entities chose to offer compatible FDA

Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning

International Nuclear Information System (INIS)

Kim, Hojin; Becker, Stephen; Lee, Rena; Lee, Soonhyouk; Shin, Sukyoung; Candès, Emmanuel; Xing Lei; Li Ruijiang

2013-01-01

Purpose: This study presents an improved technique to further simplify the fluence-map in intensity modulated radiation therapy (IMRT) inverse planning, thereby reducing plan complexity and improving delivery efficiency, while maintaining the plan quality.Methods: First-order total-variation (TV) minimization (min.) based on L1-norm has been proposed to reduce the complexity of fluence-map in IMRT by generating sparse fluence-map variations. However, with stronger dose sparing to the critical structures, the inevitable increase in the fluence-map complexity can lead to inefficient dose delivery. Theoretically, L0-min. is the ideal solution for the sparse signal recovery problem, yet practically intractable due to its nonconvexity of the objective function. As an alternative, the authors use the iteratively reweighted L1-min. technique to incorporate the benefits of the L0-norm into the tractability of L1-min. The weight multiplied to each element is inversely related to the magnitude of the corresponding element, which is iteratively updated by the reweighting process. The proposed penalizing process combined with TV min. further improves sparsity in the fluence-map variations, hence ultimately enhancing the delivery efficiency. To validate the proposed method, this work compares three treatment plans obtained from quadratic min. (generally used in clinic IMRT), conventional TV min., and our proposed reweighted TV min. techniques, implemented by a large-scale L1-solver (template for first-order conic solver), for five patient clinical data. Criteria such as conformation number (CN), modulation index (MI), and estimated treatment time are employed to assess the relationship between the plan quality and delivery efficiency.Results: The proposed method yields simpler fluence-maps than the quadratic and conventional TV based techniques. To attain a given CN and dose sparing to the critical organs for 5 clinical cases, the proposed method reduces the number of segments

Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning

Energy Technology Data Exchange (ETDEWEB)

Kim, Hojin [Department of Radiation Oncology, Stanford University, Stanford, California 94305-5847 and Department of Electrical Engineering, Stanford University, Stanford, California 94305-9505 (United States); Becker, Stephen [Laboratoire Jacques-Louis Lions, Universite Pierre et Marie Curie, Paris 6, 75005 France (France); Lee, Rena; Lee, Soonhyouk [Department of Radiation Oncology, School of Medicine, Ewha Womans University, Seoul 158-710 (Korea, Republic of); Shin, Sukyoung [Medtronic CV RDN R and D, Santa Rosa, California 95403 (United States); Candes, Emmanuel [Department of Statistics, Stanford University, Stanford, California 94305-4065 (United States); Xing Lei; Li Ruijiang [Department of Radiation Oncology, Stanford University, Stanford, California 94305-5304 (United States)

2013-07-15

Purpose: This study presents an improved technique to further simplify the fluence-map in intensity modulated radiation therapy (IMRT) inverse planning, thereby reducing plan complexity and improving delivery efficiency, while maintaining the plan quality.Methods: First-order total-variation (TV) minimization (min.) based on L1-norm has been proposed to reduce the complexity of fluence-map in IMRT by generating sparse fluence-map variations. However, with stronger dose sparing to the critical structures, the inevitable increase in the fluence-map complexity can lead to inefficient dose delivery. Theoretically, L0-min. is the ideal solution for the sparse signal recovery problem, yet practically intractable due to its nonconvexity of the objective function. As an alternative, the authors use the iteratively reweighted L1-min. technique to incorporate the benefits of the L0-norm into the tractability of L1-min. The weight multiplied to each element is inversely related to the magnitude of the corresponding element, which is iteratively updated by the reweighting process. The proposed penalizing process combined with TV min. further improves sparsity in the fluence-map variations, hence ultimately enhancing the delivery efficiency. To validate the proposed method, this work compares three treatment plans obtained from quadratic min. (generally used in clinic IMRT), conventional TV min., and our proposed reweighted TV min. techniques, implemented by a large-scale L1-solver (template for first-order conic solver), for five patient clinical data. Criteria such as conformation number (CN), modulation index (MI), and estimated treatment time are employed to assess the relationship between the plan quality and delivery efficiency.Results: The proposed method yields simpler fluence-maps than the quadratic and conventional TV based techniques. To attain a given CN and dose sparing to the critical organs for 5 clinical cases, the proposed method reduces the number of segments

Quality Management Plan for the Environmental Assessment and Innovation Division

Science.gov (United States)

Quality management plan (QMP) which identifies the mission, roles, responsibilities of personnel with regard to quality assurance and quality management for the environmental assessment and innovation division.

How Innovation Theory Can Contribute to the Military Operations Planning Process

DEFF Research Database (Denmark)

Heltberg, Anna Therese; Dahl, Kåre

The research study considers how the application of innovation theory might contribute to military staff work planning processes and bring new perspectives to operational models of analysis such as NATO’s Comprehensive Operations Planning Directive (COPD) and the Danish Field Manual III....

Combined Innovation Policy: Linking Scientific and Practical Knowledge in Innovation Systems

OpenAIRE

Isaksen, Arne; Nilsson, Magnus

2013-01-01

New research indicates that firms combining the science-based STI (Science, Technology, Innovation) and the experience-based DUI (Doing, Using, Interacting) modes of innovation are more efficient when it comes to improving innovation capacity and competitiveness. With regard to innovation policy, the STI mode calls for a supply driven policy, typically aimed to commercialise research results. The DUI mode suggests a demand driven policy approach, such as supporting the development of new prod...

Forecasting wind-driven wildfires using an inverse modelling approach

Directory of Open Access Journals (Sweden)

O. Rios

2014-06-01

Full Text Available A technology able to rapidly forecast wildfire dynamics would lead to a paradigm shift in the response to emergencies, providing the Fire Service with essential information about the ongoing fire. This paper presents and explores a novel methodology to forecast wildfire dynamics in wind-driven conditions, using real-time data assimilation and inverse modelling. The forecasting algorithm combines Rothermel's rate of spread theory with a perimeter expansion model based on Huygens principle and solves the optimisation problem with a tangent linear approach and forward automatic differentiation. Its potential is investigated using synthetic data and evaluated in different wildfire scenarios. The results show the capacity of the method to quickly predict the location of the fire front with a positive lead time (ahead of the event in the order of 10 min for a spatial scale of 100 m. The greatest strengths of our method are lightness, speed and flexibility. We specifically tailor the forecast to be efficient and computationally cheap so it can be used in mobile systems for field deployment and operativeness. Thus, we put emphasis on producing a positive lead time and the means to maximise it.

Action plan against declining vineyards: An innovative approach

Directory of Open Access Journals (Sweden)

Riou Christophe

2016-01-01

Full Text Available Declining vineyards are assessed by a multi-year decrease in vine productivity and/or its sudden premature or gradual death, based on multiple factors. Since 2015, the French wine sector has been working on an original study to identify new research avenues while launching an innovative action plan to combat vineyard decline. First, a statistical analysis enabled to estimate research efforts in the different countries. 70 factors susceptible to contribute to vineyard decline were then identified by analyzing more than 500 publications. These factors are biological, physical or linked to growing practices. While the role of pathogens is fairly well-known, the impact of the land plot or the soil on decline is less understood. Secondly, a prospective methodology was used to better identify viticulture system factors and levers affecting vines. It was thus demonstrated that yield and longevity are strongly linked to agronomy, economic variables and plant matter, plant physiology, disease, etc... These are the key issues and leverage actions to combat more strongly vineyard decline. The matrix analysis was then complemented by interviews and statistical data to imagine leverage actions. The strategic action plan is focused on four objectives: promoting training of good practices, improving plant production organization, developing vineyard observation networks, implementing an innovative research plan.

Comparison of treatments of steep and shoot generated by different inverse planning systems

International Nuclear Information System (INIS)

Perez Moreno, J. M.; Zucca Aparicio, D.; Fernandez Leton, P.; Garcia Ruiz-Zorrilla, J.; Minambres Moro, A.

2011-01-01

The problem of IMRT treatments with the technique Steep and Shoot or static is the number of segments and monitor units used in the treatment. These parameters depend largely on the inverse planning system which determines treatment. Are evaluated three commercial planning systems, with each one performing clinical dosimetry for the same series of patients. Dosimetric results are compared, UM calculated and number of segments.

WE-AB-209-02: A New Inverse Planning Framework with Principle-Based Modeling of Inter-Structural Dosimetric Tradeoffs

International Nuclear Information System (INIS)

Liu, H; Dong, P; Xing, L

2016-01-01

Purpose: Traditional radiotherapy inverse planning relies on the weighting factors to phenomenologically balance the conflicting criteria for different structures. The resulting manual trial-and-error determination of the weights has long been recognized as the most time-consuming part of treatment planning. The purpose of this work is to develop an inverse planning framework that parameterizes the inter-structural dosimetric tradeoff among with physically more meaningful quantities to simplify the search for a clinically sensible plan. Methods: A permissible dosimetric uncertainty is introduced for each of the structures to balance their conflicting dosimetric requirements. The inverse planning is then formulated as a convex feasibility problem, which aims to generate plans with acceptable dosimetric uncertainties. A sequential procedure (SP) is derived to decompose the model into three submodels to constrain the uncertainty in the planning target volume (PTV), the critical structures, and all other structures to spare, sequentially. The proposed technique is applied to plan a liver case and a head-and-neck case and compared with a conventional approach. Results: Our results show that the strategy is able to generate clinically sensible plans with little trial-and-error. In the case of liver IMRT, the fractional volumes to liver and heart above 20Gy are found to be 22% and 10%, respectively, which are 15.1% and 33.3% lower than that of the counterpart conventional plan while maintaining the same PTV coverage. The planning of the head and neck IMRT show the same level of success, with the DVHs for all organs at risk and PTV very competitive to a counterpart plan. Conclusion: A new inverse planning framework has been established. With physically more meaningful modeling of the inter-structural tradeoff, the technique enables us to substantially reduce the need for trial-and-error adjustment of the model parameters and opens new opportunities of incorporating prior

WE-AB-209-02: A New Inverse Planning Framework with Principle-Based Modeling of Inter-Structural Dosimetric Tradeoffs

Energy Technology Data Exchange (ETDEWEB)

Liu, H; Dong, P; Xing, L [Stanford University School of Medicine, Stanford, CA (United States)

2016-06-15

Purpose: Traditional radiotherapy inverse planning relies on the weighting factors to phenomenologically balance the conflicting criteria for different structures. The resulting manual trial-and-error determination of the weights has long been recognized as the most time-consuming part of treatment planning. The purpose of this work is to develop an inverse planning framework that parameterizes the inter-structural dosimetric tradeoff among with physically more meaningful quantities to simplify the search for a clinically sensible plan. Methods: A permissible dosimetric uncertainty is introduced for each of the structures to balance their conflicting dosimetric requirements. The inverse planning is then formulated as a convex feasibility problem, which aims to generate plans with acceptable dosimetric uncertainties. A sequential procedure (SP) is derived to decompose the model into three submodels to constrain the uncertainty in the planning target volume (PTV), the critical structures, and all other structures to spare, sequentially. The proposed technique is applied to plan a liver case and a head-and-neck case and compared with a conventional approach. Results: Our results show that the strategy is able to generate clinically sensible plans with little trial-and-error. In the case of liver IMRT, the fractional volumes to liver and heart above 20Gy are found to be 22% and 10%, respectively, which are 15.1% and 33.3% lower than that of the counterpart conventional plan while maintaining the same PTV coverage. The planning of the head and neck IMRT show the same level of success, with the DVHs for all organs at risk and PTV very competitive to a counterpart plan. Conclusion: A new inverse planning framework has been established. With physically more meaningful modeling of the inter-structural tradeoff, the technique enables us to substantially reduce the need for trial-and-error adjustment of the model parameters and opens new opportunities of incorporating prior

Consumer experiences in a consumer-driven health plan.

Science.gov (United States)

Christianson, Jon B; Parente, Stephen T; Feldman, Roger

2004-08-01

To assess the experience of enrollees in a consumer-driven health plan (CDHP). Survey of University of Minnesota employees regarding their 2002 health benefits. Comparison of regression-adjusted mean values for CDHP and other plan enrollees: customer service, plan paperwork, overall satisfaction, and plan switching. For CDHP enrollees only, use of plan features, willingness to recommend the plan to others, and reports of particularly negative or positive experiences. There were significant differences in experiences of CDHP enrollees versus enrollees in other plans with customer service and paperwork, but similar levels of satisfaction (on a 10-point scale) with health plans. Eight percent of CDHP enrollees left their plan after one year, compared to 5 percent of enrollees leaving other plans. A minority of CDHP enrollees used online plan features, but enrollees generally were satisfied with the amount and quality of the information provided by the CDHP. Almost half reported a particularly positive experience, compared to a quarter reporting a particularly negative experience. Thirty percent said they would recommend the plan to others, while an additional 57 percent said they would recommend it depending on the situation. Much more work is needed to determine how consumer experience varies with the number and type of plan options available, the design of the CDHP, and the length of time in the CDHP. Research also is needed on the factors that affect consumer decisions to leave CDHPs.

Fostering Organizational Innovation based on modeling the Marketing Research Process through Event-driven Process Chain (EPC

Directory of Open Access Journals (Sweden)

Elena Fleacă

2016-11-01

Full Text Available Enterprises competing in an actual business framework are required to win and maintain their competitiveness by flexibility, fast reaction and conformation to the changing customers' needs based on innovation of work related to products, services, and internal processes. The paper addresses these challenges which gain more complex bonds in a case of high pressure for innovation. The methodology commences with a literature review of the current knowledge on innovation through business processes management. Secondly, it has been applied the Event-driven Process Chain tool from the scientific literature to model the variables of marketing research process. The findings highlight benefits of marketing research workflow that enhances the value of market information while reducing costs of obtaining it, in a coherent way.

OECD Reviews of Regional Innovation

DEFF Research Database (Denmark)

Maguire, Karen; Marsan, Giulia Ajmone; Nauwelaers, Claire

This book examines regional innovation in central and southern Denmark, looking at its role in the economy, its governance and policy context and regional strategies for innovation driven growth.......This book examines regional innovation in central and southern Denmark, looking at its role in the economy, its governance and policy context and regional strategies for innovation driven growth....

New inverse planning technology for image-guided cervical cancer brachytherapy: Description and evaluation within a clinical frame

International Nuclear Information System (INIS)

Trnkova, Petra; Poetter, Richard; Baltas, Dimos; Karabis, Andreas; Fidarova, Elena; Dimopoulos, Johannes; Georg, Dietmar; Kirisits, Christian

2009-01-01

Purpose: To test the feasibility of a new inverse planning technology based on the Hybrid Inverse treatment Planning and Optimisation (HIPO) algorithm for image-guided cervical cancer brachytherapy in comparison to conventional manual optimisation as applied in recent clinical practice based on long-term intracavitary cervical cancer brachytherapy experience. Materials and methods: The clinically applied treatment plans of 10 tandem/ring (T/R) and 10 cases with additional needles (T/R + N) planned with PLATO v14.3 were included. Standard loading patterns were manually optimised to reach an optimal coverage with 7 Gy per fraction to the High Risk CTV and to fulfil dose constraints for organs at risk. For each of these patients an inverse plan was retrospectively created with Oncentra GYN v0.9.14. Anatomy based automatic source activation was based on the topography of target and organs. The HIPO algorithm included individual gradient and modification restrictions for the T/R and needle dwell times to preserve the spatial high-dose distribution as known from the long-term clinical experience in the standard cervical cancer brachytherapy and with manual planning. Results: HIPO could achieve a better target coverage (V100) for all T/R and 7 T/R + N patients. Changes in the shape of the overdose volume (V200/400) were limited. The D 2cc per fraction for bladder, rectum and sigmoid colon was on average lower by 0.2 Gy, 0.4 Gy, 0.2 Gy, respectively, for T/R patients and 0.6 Gy, 0.3 Gy, 0.3 Gy for T/R + N patients (a decrease from 4.5 to 4 Gy per fraction means a total dose reduction of 5 Gy EQD2 for a 4-fraction schedule). In general the dwell times in the additional needles were lower compared to manual planning. The sparing factors were always better for HIPO plans. Additionally, in 7 T/R and 7 T/R + N patients all three D 0.1cc , D 1cc and D 2cc for vagina wall were lower and a smaller area of vagina was covered by the reference dose in HIPO plans. Overall loading

Incorporating model parameter uncertainty into inverse treatment planning

International Nuclear Information System (INIS)

Lian Jun; Xing Lei

2004-01-01

Radiobiological treatment planning depends not only on the accuracy of the models describing the dose-response relation of different tumors and normal tissues but also on the accuracy of tissue specific radiobiological parameters in these models. Whereas the general formalism remains the same, different sets of model parameters lead to different solutions and thus critically determine the final plan. Here we describe an inverse planning formalism with inclusion of model parameter uncertainties. This is made possible by using a statistical analysis-based frameset developed by our group. In this formalism, the uncertainties of model parameters, such as the parameter a that describes tissue-specific effect in the equivalent uniform dose (EUD) model, are expressed by probability density function and are included in the dose optimization process. We found that the final solution strongly depends on distribution functions of the model parameters. Considering that currently available models for computing biological effects of radiation are simplistic, and the clinical data used to derive the models are sparse and of questionable quality, the proposed technique provides us with an effective tool to minimize the effect caused by the uncertainties in a statistical sense. With the incorporation of the uncertainties, the technique has potential for us to maximally utilize the available radiobiology knowledge for better IMRT treatment

Coevolution in management fashion: an agent-based model of consultant-driven innovation.

Science.gov (United States)

Strang, David; David, Robert J; Akhlaghpour, Saeed

2014-07-01

The rise of management consultancy has been accompanied by increasingly marked faddish cycles in management techniques, but the mechanisms that underlie this relationship are not well understood. The authors develop a simple agent-based framework that models innovation adoption and abandonment on both the supply and demand sides. In opposition to conceptions of consultants as rhetorical wizards who engineer waves of management fashion, firms and consultants are treated as boundedly rational actors who chase the secrets of success by mimicking their highest-performing peers. Computational experiments demonstrate that consultant-driven versions of this dynamic in which the outcomes of firms are strongly conditioned by their choice of consultant are robustly faddish. The invasion of boom markets by low-quality consultants undercuts popular innovations while simultaneously restarting the fashion cycle by prompting the flight of high-quality consultants into less densely occupied niches. Computational experiments also indicate conditions involving consultant mobility, aspiration levels, mimic probabilities, and client-provider matching that attenuate faddishness.

User driven Innovation in new Workspace Design

DEFF Research Database (Denmark)

Bjerrum, Eva; Simonsen, John Brøndberg

2017-01-01

on experiences from several case studies we propose a way to unfreeze organisations. By using different methods to describe work (ethnographic methods: Observation, episodes, snapshots, photos) and traditional interviews and questionnaires, it is possible to plan and conduct workshop processes that challenge......In Denmark knowledge sharing and working flexibility are considered to be elements that contribute to innovation and improved competitiveness. This has resulted in more and more companies having introduced open flexible office design as a strategic tool to support knowledge sharing. Another reason...... for this focus on workspace design is the change in work and working patterns at knowledge organisations. Both managers and employees work at different places, at customer’s site, while travelling, at hotels and at home, so the focus on the company as being the main workplace changes. The change from traditional...

Danish User-Centered Innovation

DEFF Research Database (Denmark)

Jeppesen, Lars Bo

2007-01-01

Danish User-centered Innovation Lab (DUCI lab) is a collaboration between faculty at Copenhagen Business School, Aarhus School of Business and Massachusetts Institute of Technology, based at Copenhagen Business School. DUCI lab is a unique effort to understand the issues involved in user innovation...... processes, with particular emphasis on managing user driven innovation. The project takes advantage of CBS location in Denmark. Denmark has been at the forefront in creating policies that favor user driven innovation. CBS's location at the heart of one of the world's most vibrant user driven regions...... companies and on how such practices can be diffused broadly for the benefit of start-ups, SME's and other types of organizations....

Functional avoidance of lung in plan optimization with an aperture-based inverse planning system

International Nuclear Information System (INIS)

St-Hilaire, Jason; Lavoie, Caroline; Dagnault, Anne; Beaulieu, Frederic; Morin, Francis; Beaulieu, Luc; Tremblay, Daniel

2011-01-01

Purpose: To implement SPECT-based optimization in an anatomy-based aperture inverse planning system for the functional avoidance of lung in thoracic irradiation. Material and methods: SPECT information has been introduced as a voxel-by-voxel modulation of lung importance factors proportionally to the local perfusion count. Fifteen cases of lung cancer have been retrospectively analyzed by generating angle-optimized non-coplanar plans, comparing a purely anatomical approach and our functional approach. Planning target volume coverage and lung sparing have been compared. Statistical significance was assessed by a Wilcoxon matched pairs test. Results: For similar target coverage, perfusion-weighted volume receiving 10 Gy was reduced by a median of 2.2% (p = 0.022) and mean perfusion-weighted lung dose, by a median of 0.9 Gy (p = 0.001). A separate analysis of patients with localized or non-uniform hypoperfusion could not show which would benefit more from SPECT-based treatment planning. Redirection of dose sometimes created overdosage regions in the target volume. Plans consisted of a similar number of segments and monitor units. Conclusions: Angle optimization and SPECT-based modulation of importance factors allowed for functional avoidance of the lung while preserving target coverage. The technique could be also applied to implement PET-based modulation inside the target volume, leading to a safer dose escalation.

An innovative approach to capability-based emergency operations planning.

Science.gov (United States)

Keim, Mark E

2013-01-01

This paper describes the innovative use information technology for assisting disaster planners with an easily-accessible method for writing and improving evidence-based emergency operations plans. This process is used to identify all key objectives of the emergency response according to capabilities of the institution, community or society. The approach then uses a standardized, objective-based format, along with a consensus-based method for drafting capability-based operational-level plans. This information is then integrated within a relational database to allow for ease of access and enhanced functionality to search, sort and filter and emergency operations plan according to user need and technological capacity. This integrated approach is offered as an effective option for integrating best practices of planning with the efficiency, scalability and flexibility of modern information and communication technology.

Service delivery innovation architecture: An empirical study of antecedents and outcomes

Directory of Open Access Journals (Sweden)

Rajeev Verma

2014-06-01

Full Text Available The research examines service delivery innovation architecture and its role in achieving sustainable competitive advantage of firms. The study develops and empirically examines an antecedent based model of service delivery innovation. We collected data from 203 service sector professionals working in Mexican financial and information technology firms, and tested the proposed relationship. Further, the study investigates the moderating role of customer orientation on innovation driven performance outcomes. Results show that customer orientation strengthens the service delivery–performance relationship. This paper aims to contribute to the strategic planning of service firms by guiding their resource allocation to ensure sustainable growth.

Leadership-driven innovation & evolution of societies

NARCIS (Netherlands)

Coccia, M.

2014-01-01

The fundamental problem in the field of the economics of innovation is which economic subjects are the sources of radical innovations and high technological performances. The study here confronts this problem by developing a theoretical framework underpinned in the concept of purposeful system

Stereotactic intensity-modulated radiation therapy (IMRT) and inverse treatment planning for advanced pleural mesothelioma. Feasibility and initial results

Energy Technology Data Exchange (ETDEWEB)

Muenter, M.W.; Thilmann, C.; Hof, H.; Debus, J. [Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (dkfz), Heidelberg (Germany); Nill, S.; Hoess, A.; Partridge, M. [Dept. of Medical Physics, German Cancer Research Center (dkfz), Heidelberg (Germany); Haering, P. [Dept. of Central Dosimetry, German Cancer Research Center (dkfz), Heidelberg (Germany); Manegold, C. [Dept. of Medical Oncology/Internal Medicine, Thoraxklinik Heidelberg gGmbH, Heidelberg (Germany); Wannenmacher, M. [Dept. of Clinical Radiology, Univ. of Heidelberg, Heidelberg (Germany)

2003-08-01

Background and Purpose: Complex-shaped malignant pleural mesotheliomas (MPMs) with challenging volumes are extremely difficult to treat by conventional radiotherapy due to tolerance doses of the surrounding normal tissue. In a feasibility study, we evaluated if inversely planned stereotactic intensity-modulated radiation therapy (IMRT) could be applied in the treatment of MPM. Patients and Methods: Eight patients with unresectable lesions were treated after failure of chemotherapy. All patients were positioned using noninvasive patient fixation techniques which can be attached to the applied extracranial stereotactic system. Due to craniocaudal extension of the tumor, it was necessary to develop a special software attached to the inverse planning program KonRad, which can connect two inverse treatment plans and consider the applied dose of the first treatment plan in the area of the matchline of the second treatment plan. Results: Except for one patient, in whom radiotherapy was canceled due to abdominal metastasis, treatment could be completed in all patients and was well tolerated. Median survival after diagnosis was 20 months and after IMRT 6.5 months. Therefore, both the 1-year actuarial overall survival from the start of radiotherapy and the 2-year actuarial overall survival since diagnosis were 28%. IMRT did not result in clinically significant acute side effects. By using the described inverse planning software, over- or underdosage in the region of the field matchline could be prevented. Pure treatment time ranged between 10 and 21 min. Conclusion: This study showed that IMRT is feasible in advanced unresectable MPM. The presented possibilities of stereotactic IMRT in the treatment of MPM will justify the evaluation of IMRT in early-stage pleural mesothelioma combined with chemotherapy in a study protocol, in order to improve the outcome of these patients. Furthermore, dose escalation should be possible by using IMRT. (orig.)

Planning Study Comparison of Real-Time Target Tracking and Four-Dimensional Inverse Planning for Managing Patient Respiratory Motion

International Nuclear Information System (INIS)

Zhang Peng; Hugo, Geoffrey D.; Yan Di

2008-01-01

Purpose: Real-time target tracking (RT-TT) and four-dimensional inverse planning (4D-IP) are two potential methods to manage respiratory target motion. In this study, we evaluated each method using the cumulative dose-volume criteria in lung cancer radiotherapy. Methods and Materials: Respiration-correlated computed tomography scans were acquired for 4 patients. Deformable image registration was applied to generate a displacement mapping for each phase image of the respiration-correlated computed tomography images. First, the dose distribution for the organs of interest obtained from an idealized RT-TT technique was evaluated, assuming perfect knowledge of organ motion and beam tracking. Inverse planning was performed on each phase image separately. The treatment dose to the organs of interest was then accumulated from the optimized plans. Second, 4D-IP was performed using the probability density function of respiratory motion. The beam arrangement, prescription dose, and objectives were consistent in both planning methods. The dose-volume and equivalent uniform dose in the target volume, lung, heart, and spinal cord were used for the evaluation. Results: The cumulative dose in the target was similar for both techniques. The equivalent uniform dose of the lung, heart, and spinal cord was 4.6 ± 2.2, 11 ± 4.4, and 11 ± 6.6 Gy for RT-TT with a 0-mm target margin, 5.2 ± 3.1, 12 ± 5.9, and 12 ± 7.8 Gy for RT-TT with a 2-mm target margin, and 5.3 ± 2.3, 11.9 ± 5.0, and 12 ± 5.6 Gy for 4D-IP, respectively. Conclusion: The results of our study have shown that 4D-IP can achieve plans similar to those achieved by RT-TT. Considering clinical implementation, 4D-IP could be a more reliable and practical method to manage patient respiration-induced motion

Structuring front-end innovation activities throughout strategic product planning

Directory of Open Access Journals (Sweden)

Thaisa Rodrigues

Full Text Available Abstract Strategic product planning (SPP for new product development (NPD in the front-end of innovation (FEI is a great challenge for managers and practitioners. This article analyzes the structuring process of FEI activities during SPP. A research was carried out with 78 industries from both food and furniture in Brazil. Our study revealed that FEI activities are structured in an intricate network with a high level of complexity and interdependence. The large amount of activities and the complexity in structuring them denote that companies are concerned to reduce uncertainties and risks intensifying the planning phase.

Innovations for ISS Plug-In Plan (IPiP) Operations

Science.gov (United States)

Moore, Kevin D.

2013-01-01

Limited resources and increasing requirements will continue to influence decisions on ISS. The ISS Plug-In Plan (IPiP) supports power and data for utilization, systems, and daily operations through the Electrical Power System (EPS) Secondary Power/Data Subsystem. Given the fluid launch schedule, the focus of the Plug-In Plan has evolved to anticipate future requirements by judicious development and delivery of power supplies, power strips, Alternating Current (AC) power inverters, along with innovative deployment strategies. A partnership of ISS Program Office, Engineering Directorate, Mission Operations, and International Partners poses unique solutions with existing on-board equipment and resources.

Bottom-linked innovation

DEFF Research Database (Denmark)

Kristensen, Catharina Juul

2018-01-01

hitherto been paid little explicit attention, namely collaboration between middle managers and employees in innovation processes. In contrast to most studies, middle managers and employees are here both subjects of explicit investigation. The collaboration processes explored in this article are termed...... ‘bottom-linked innovation’. The empirical analysis is based on an in-depth qualitative study of bottom-linked innovation in a public frontline institution in Denmark. By combining research on employee-driven innovation and middle management, the article offers new insights into such collaborative......Employee-driven innovation is gaining ground as a strategy for developing sustainable organisations in the public and private sector. This type of innovation is characterised by active employee participation, and the bottom-up perspective is often emphasised. This article explores an issue that has...

Customer Innovation Process Leadership

DEFF Research Database (Denmark)

Lindgren, Peter; Jørgensen, Jacob Høj; Goduscheit, René Chester

2007-01-01

Innovation leadership has traditionally been focused on leading the companies' product development fast, cost effectively and with an optimal performance driven by technological inventions or by customers´ needs. To improve the efficiency of the product development process focus has been on diffe......Innovation leadership has traditionally been focused on leading the companies' product development fast, cost effectively and with an optimal performance driven by technological inventions or by customers´ needs. To improve the efficiency of the product development process focus has been...... on different types of organisational setup to the product development model and process. The globalization and enhanced competitive markets are however changing the innovation game and the challenge to innovation leadership Excellent product development innovation and leadership seems not any longer to enough...... another outlook to future innovation leadership - Customer Innovation Process Leadership - CIP-leadership. CIP-leadership moves the company's innovation process closer to the customer innovation process and discusses how companies can be involved and innovate in customers' future needs and lead...

An improved fast and elitist multi-objective genetic algorithm-ANSGA-II for multi-objective optimization of inverse radiotherapy treatment planning

International Nuclear Information System (INIS)

Cao Ruifen; Li Guoli; Song Gang; Zhao Pan; Lin Hui; Wu Aidong; Huang Chenyu; Wu Yican

2007-01-01

Objective: To provide a fast and effective multi-objective optimization algorithm for inverse radiotherapy treatment planning system. Methods: Non-dominated Sorting Genetic Algorithm-NSGA-II is a representative of multi-objective evolutionary optimization algorithms and excels the others. The paper produces ANSGA-II that makes use of advantage of NSGA-II, and uses adaptive crossover and mutation to improve its flexibility; according the character of inverse radiotherapy treatment planning, the paper uses the pre-known knowledge to generate individuals of every generation in the course of optimization, which enhances the convergent speed and improves efficiency. Results: The example of optimizing average dose of a sheet of CT, including PTV, OAR, NT, proves the algorithm could find satisfied solutions in several minutes. Conclusions: The algorithm could provide clinic inverse radiotherapy treatment planning system with selection of optimization algorithms. (authors)

Does inverse-planned intensity-modulated radiation therapy have a role in the treatment of patients with left-sided breast cancer?

International Nuclear Information System (INIS)

Stillie, Alison L.; Chua, Boon; Kron, Tomas; Cramb, Jim; Herschtal, Alan; Hornby, Colin; Sullivan, Kelly

2011-01-01

The purpose of the study was to determine if multi-field inverse-planned intensity-modulated radiation therapy (IMRT) improves on the sparing of organs at risk (heart, lungs and contralateral breast) when compared with field-in-field forward-planned RT (FiF). The planning CT scans of 10 women with left-sided breast cancer previously treated with whole-breast RT on an inclined breast board with both arms supported above the head were retrieved. The whole breast planning target volume (PTV) was defined by clinical mark-up and contoured on all relevant CT slices as were the organs at risk. For each patient, three plans were generated using FiF, five- and nine-field inverse-planned IMRT, all to a total dose of 50 Gy to the whole breast. Mean and maximum doses to the organs at risk and the homogeneity index (HI) of the whole-breast PTV were compared. The mean heart dose for the FiF plans was 2.63 Gy compared with 4.04 Gy for the five-field and 4.30 Gy for the nine-field IMRT plans, with no significant differences in the HI of the whole-breast PTV in all plans. The FiF plans resulted in a mean contralateral breast dose of 0.58 Gy compared with 0.70 and 2.08 Gy for the five- and nine-field IMRT plans, respectively. FiF resulted in a lower mean heart and contralateral breast dose with comparable HI of the whole-breast PTV in comparison with inverse-planned IMRT using five or nine fields.

Improved robotic stereotactic body radiation therapy plan quality and planning efficacy for organ-confined prostate cancer utilizing overlap-volume histogram-driven planning methodology

International Nuclear Information System (INIS)

Wu, Binbin; Pang, Dalong; Lei, Siyuan; Gatti, John; Tong, Michael; McNutt, Todd; Kole, Thomas; Dritschilo, Anatoly; Collins, Sean

2014-01-01

Background and purpose: This study is to determine if the overlap-volume histogram (OVH)-driven planning methodology can be adapted to robotic SBRT (CyberKnife Robotic Radiosurgery System) to further minimize the bladder and rectal doses achieved in plans manually-created by clinical planners. Methods and materials: A database containing clinically-delivered, robotic SBRT plans (7.25 Gy/fraction in 36.25 Gy) of 425 patients with localized prostate cancer was used as a cohort to establish an organ’s distance-to-dose model. The OVH-driven planning methodology was refined by adding the PTV volume factor to counter the target’s dose fall-off effect and incorporated into Multiplan to automate SBRT planning. For validation, automated plans (APs) for 12 new patients were generated, and their achieved dose/volume values were compared to the corresponding manually-created, clinically-delivered plans (CPs). A two-sided, Wilcoxon rank-sum test was used for statistical comparison with a significance level of p < 0.05. Results: PTV’s V(36.25 Gy) was comparable: 95.6% in CPs comparing to 95.1% in APs (p = 0.2). On average, the refined approach lowered V(18.12 Gy) to the bladder and rectum by 8.2% (p < 0.05) and 6.4% (p = 0.14). A physician confirmed APs were clinically acceptable. Conclusions: The improvements in APs could further reduce toxicities observed in SBRT for organ-confined prostate cancer

The incorporation of SPECT functional lung imaging into inverse radiotherapy planning for non-small cell lung cancer

International Nuclear Information System (INIS)

Christian, Judith A.; Partridge, Mike; Nioutsikou, Elena; Cook, Gary; McNair, Helen A.; Cronin, Bernadette; Courbon, Frederic; Bedford, James L.; Brada, Michael

2005-01-01

Background and purpose: Patients with non-small cell lung cancer (NSCLC) often have inhomogeneous lung perfusion. Radiotherapy planning computed tomography (CT) scans have been accurately co-registered with lung perfusion single photon emission computed tomography (SPECT) scans to design radiotherapy treatments which limit dose to healthy 'perfused' lung. Patients and methods: Patients with localised NSCLC had CT and SPECT scans accurately co-registered in the planning system. The SPECT images were used to define a volume of perfused 'functioning' lung (FL). Inverse planning software was used to create 3D-conformal plans, the planning objective being either to minimise the dose to whole lungs (WL) or to minimise the dose to FL. Results: Four plans were created for each of six patients. The mean difference in volume between WL and FL was 1011.7 cm 3 (range 596.2-1581.1 cm 3 ). One patient with bilateral upper lobe perfusion deficits had a 16% reduction in FLV 2 (the percentage volume of functioning lung receiving ≥20 Gy). The remaining patients had inhomogeneous perfusion deficits such that inverse planning was not able to sufficiently optimise beam angles to avoid functioning lung. Conclusion: SPECT perfusion images can be accurately co-registered with radiotherapy planning CT scans and may be helpful in creating treatment plans for patients with large perfusion deficits

Innovative Methods in Strategic Planning of Foreign Economic Activity of Enterprises

Directory of Open Access Journals (Sweden)

Valentyna Yakubiv

2017-12-01

Full Text Available Changes in the external conditions of business in Ukraine, European integration vector of the country development, and possibilities of import/export operations facilitate foreign trade. Modern methods of strategic management and strategic diagnostics should be developed in line with international requirements and needs of managers in Ukraine and partners abroad. Therefore substantiation of innovation trends for enterprise development strategies on the international arena as a constituent of stable economy is important and necessary. The purpose of this article is to define innovative approaches to planning, development and implementation of strategies and to develop a comprehensive diagnosis of the strategic potential of foreign economic activity. During the research, the following methods: logical abstraction, modeling, PEST-analysis, systems analysis, graphic. The main results of the study are: 1 disclosure of the features of the construction of strategic management in international business; 2 analysis of European and American practices of strategic management of foreign economic activity of enterprises; 3 study of algorithmic scheme of strategic management in the Ukraine; 4 justification of methods of three-level system of strategic analysis using matrix methods of assessment; 5 the classification of the main methods of matrix analysis within groups: macro, meso, macro level; 6 a comprehensive diagnosis of the strategic potential of foreign economic activity of enterprises in Ukraine. The study proved the main areas of innovation and strategic principles of international management and comprehensive methodology for strategic planning matrix based on innovative methods.

From physical dose constraints to equivalent uniform dose constraints in inverse radiotherapy planning

International Nuclear Information System (INIS)

Thieke, Christian; Bortfeld, Thomas; Niemierko, Andrzej; Nill, Simeon

2003-01-01

Optimization algorithms in inverse radiotherapy planning need information about the desired dose distribution. Usually the planner defines physical dose constraints for each structure of the treatment plan, either in form of minimum and maximum doses or as dose-volume constraints. The concept of equivalent uniform dose (EUD) was designed to describe dose distributions with a higher clinical relevance. In this paper, we present a method to consider the EUD as an optimization constraint by using the method of projections onto convex sets (POCS). In each iteration of the optimization loop, for the actual dose distribution of an organ that violates an EUD constraint a new dose distribution is calculated that satisfies the EUD constraint, leading to voxel-based physical dose constraints. The new dose distribution is found by projecting the current one onto the convex set of all dose distributions fulfilling the EUD constraint. The algorithm is easy to integrate into existing inverse planning systems, and it allows the planner to choose between physical and EUD constraints separately for each structure. A clinical case of a head and neck tumor is optimized using three different sets of constraints: physical constraints for all structures, physical constraints for the target and EUD constraints for the organs at risk, and EUD constraints for all structures. The results show that the POCS method converges stable and given EUD constraints are reached closely

Region innovation and investment development: conceptual theoretical approach and business solutions

Directory of Open Access Journals (Sweden)

Zozulya D.M.

2017-01-01

Full Text Available The article describes essential problems of the region business innovation and investment development under current conditions, issues of crisis restrictions negotiation and innovation-driven economy formation. The relevance of the research is defined by the need of effective tools creation for business innovation and investment development and support, which can be applied, first, to increase efficiency of the region industrial activity, then improve production competitiveness on the innovative basis, overcome existing problems and provide sustainable innovation development in the region. The results of conducted research are represented in the article including region innovation and investment development concept model made up by the authors on the basis of system theoretical approach. The tools of the region innovation development defined in the concept model are briefly reviewed in the article. The most important of them include engineering marketing (marketing of scientific and technical innovations, strategic planning, benchmarking, place marketing and business process modeling.

Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning

International Nuclear Information System (INIS)

Stieler, Florian; Yan, Hui; Lohr, Frank; Wenz, Frederik; Yin, Fang-Fang

2009-01-01

Parameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT) is mainly conducted by human planners in order to create a plan with the desired dose distribution. To automate this tedious process, an artificial intelligence (AI) guided system was developed and examined. The AI system can automatically accomplish the optimization process based on prior knowledge operated by several fuzzy inference systems (FIS). Prior knowledge, which was collected from human planners during their routine trial-and-error process of inverse planning, has first to be 'translated' to a set of 'if-then rules' for driving the FISs. To minimize subjective error which could be costly during this knowledge acquisition process, it is necessary to find a quantitative method to automatically accomplish this task. A well-developed machine learning technique, based on an adaptive neuro fuzzy inference system (ANFIS), was introduced in this study. Based on this approach, prior knowledge of a fuzzy inference system can be quickly collected from observation data (clinically used constraints). The learning capability and the accuracy of such a system were analyzed by generating multiple FIS from data collected from an AI system with known settings and rules. Multiple analyses showed good agreements of FIS and ANFIS according to rules (error of the output values of ANFIS based on the training data from FIS of 7.77 ± 0.02%) and membership functions (3.9%), thus suggesting that the 'behavior' of an FIS can be propagated to another, based on this process. The initial experimental results on a clinical case showed that ANFIS is an effective way to build FIS from practical data, and analysis of ANFIS and FIS with clinical cases showed good planning results provided by ANFIS. OAR volumes encompassed by characteristic percentages of isodoses were reduced by a mean of between 0 and 28%. The study demonstrated a feasible way

Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning

Directory of Open Access Journals (Sweden)

Wenz Frederik

2009-09-01

Full Text Available Abstract Background Parameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT is mainly conducted by human planners in order to create a plan with the desired dose distribution. To automate this tedious process, an artificial intelligence (AI guided system was developed and examined. Methods The AI system can automatically accomplish the optimization process based on prior knowledge operated by several fuzzy inference systems (FIS. Prior knowledge, which was collected from human planners during their routine trial-and-error process of inverse planning, has first to be "translated" to a set of "if-then rules" for driving the FISs. To minimize subjective error which could be costly during this knowledge acquisition process, it is necessary to find a quantitative method to automatically accomplish this task. A well-developed machine learning technique, based on an adaptive neuro fuzzy inference system (ANFIS, was introduced in this study. Based on this approach, prior knowledge of a fuzzy inference system can be quickly collected from observation data (clinically used constraints. The learning capability and the accuracy of such a system were analyzed by generating multiple FIS from data collected from an AI system with known settings and rules. Results Multiple analyses showed good agreements of FIS and ANFIS according to rules (error of the output values of ANFIS based on the training data from FIS of 7.77 ± 0.02% and membership functions (3.9%, thus suggesting that the "behavior" of an FIS can be propagated to another, based on this process. The initial experimental results on a clinical case showed that ANFIS is an effective way to build FIS from practical data, and analysis of ANFIS and FIS with clinical cases showed good planning results provided by ANFIS. OAR volumes encompassed by characteristic percentages of isodoses were reduced by a mean of between 0 and 28%. Conclusion The

Innovation in partnership sourcing from a vendor's pespective

DEFF Research Database (Denmark)

Barlach, Anders; Simonsen, Jesper

2011-01-01

-driven innovation at the IT vendor CSC Scandihealth A/S. CSC Scandihealth’s business strategy regarding effects-driven innovation is described and related to a partner sourcing model with a client, a hospital in the North Region of Denmark. The chapter analyses how innovation can be organized and the different......This chapter describes three generic categories of assets for technological innovation: 1) process innovative assets, 2) product innovative application assets, and 3) aesthetic design assets (Christensen, 1995). These different types of innovation are used as a framework for discussing effects...... stakeholders, contexts, and perspectives undertaken by the vendor and the client while engaging in partnership sourcing supported by effects-driven innovation. The experiences and challenges are discussed on the basis of a number of projects with the vendor’s clients....

New Boundary-Driven Twist States in Systems with Broken Spatial Inversion Symmetry

Science.gov (United States)

Hals, Kjetil M. D.; Everschor-Sitte, Karin

2017-09-01

A full description of a magnetic sample includes a correct treatment of the boundary conditions (BCs). This is in particular important in thin film systems, where even bulk properties might be modified by the properties of the boundary of the sample. We study generic ferromagnets with broken spatial inversion symmetry and derive the general micromagnetic BCs of a system with Dzyaloshinskii-Moriya interaction (DMI). We demonstrate that the BCs require the full tensorial structure of the third-rank DMI tensor and not just the antisymmetric part, which is usually taken into account. Specifically, we study systems with C∞ v symmetry and explore the consequences of the DMI. Interestingly, we find that the DMI already in the simplest case of a ferromagnetic thin film leads to a purely boundary-driven magnetic twist state at the edges of the sample. The twist state represents a new type of DMI-induced spin structure, which is completely independent of the internal DMI field. We estimate the size of the texture-induced magnetoresistance effect being in the range of that of domain walls.

Users as innovators:exploring the limitations of user-driven innovation

OpenAIRE

Trott, Paul; Duin, Patrick Van Der; Hartmann, Dap

2013-01-01

Considering users as innovators has gained considerable support over the past 30 years. Eric von Hippel’s work in this area forms a significant part of the theoretical underpinning and evidence behind this concept. Many further studies have been undertaken to support it. It has contributed to our understanding of innovation management in general and new product development in particular. Even so, Lüthje and Herstatt emphasise that empirical findings are scarce and that the most radical innova...

Mixed integer programming improves comprehensibility and plan quality in inverse optimization of prostate HDR Brachytherapy

NARCIS (Netherlands)

Gorissen, B.L.; den Hertog, D.; Hoffmann, A.L.

2013-01-01

Current inverse treatment planning methods that optimize both catheter positions and dwell times in prostate HDR brachytherapy use surrogate linear or quadratic objective functions that have no direct interpretation in terms of dose-volume histogram (DVH) criteria, do not result in an optimum or

Development of inverse-planning system for neutron capture therapy

International Nuclear Information System (INIS)

Kumada, Hiroaki; Yamamoto, Kazuyoshi; Maruo, Takeshi

2006-01-01

To lead proper irradiation condition effectively, Japan Atomic Energy Agency (JAEA) is developing an inverse-planning system for neutron capture therapy (NCT-IPS) based on the JAEA computational dosimetry system (JCDS) for BNCT. The leading methodology of an optimum condition in the NCT-IPS has been applied spatial channel theory with adjoint flux solution of Botzman transport. By analyzing the results obtained from the adjoint flux calculations according to the theory, optimum incident point of the beam against the patient can be found, and neutron spectrum of the beam which can generate ideal distribution of neutron flux around tumor region can be determined. The conceptual design of the NCT-IPS was investigated, and prototype of NCT-IPS with JCDS is being developed. (author)

Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO2 fluxes

Science.gov (United States)

Kountouris, Panagiotis; Gerbig, Christoph; Rödenbeck, Christian; Karstens, Ute; Koch, Thomas F.; Heimann, Martin

2018-03-01

Optimized biogenic carbon fluxes for Europe were estimated from high-resolution regional-scale inversions, utilizing atmospheric CO2 measurements at 16 stations for the year 2007. Additional sensitivity tests with different data-driven error structures were performed. As the atmospheric network is rather sparse and consequently contains large spatial gaps, we use a priori biospheric fluxes to further constrain the inversions. The biospheric fluxes were simulated by the Vegetation Photosynthesis and Respiration Model (VPRM) at a resolution of 0.1° and optimized against eddy covariance data. Overall we estimate an a priori uncertainty of 0.54 GtC yr-1 related to the poor spatial representation between the biospheric model and the ecosystem sites. The sink estimated from the atmospheric inversions for the area of Europe (as represented in the model domain) ranges between 0.23 and 0.38 GtC yr-1 (0.39 and 0.71 GtC yr-1 up-scaled to geographical Europe). This is within the range of posterior flux uncertainty estimates of previous studies using ground-based observations.

Data driven innovations in structural health monitoring

Science.gov (United States)

Rosales, M. J.; Liyanapathirana, R.

2017-05-01

At present, substantial investments are being allocated to civil infrastructures also considered as valuable assets at a national or global scale. Structural Health Monitoring (SHM) is an indispensable tool required to ensure the performance and safety of these structures based on measured response parameters. The research to date on damage assessment has tended to focus on the utilization of wireless sensor networks (WSN) as it proves to be the best alternative over the traditional visual inspections and tethered or wired counterparts. Over the last decade, the structural health and behaviour of innumerable infrastructure has been measured and evaluated owing to several successful ventures of implementing these sensor networks. Various monitoring systems have the capability to rapidly transmit, measure, and store large capacities of data. The amount of data collected from these networks have eventually been unmanageable which paved the way to other relevant issues such as data quality, relevance, re-use, and decision support. There is an increasing need to integrate new technologies in order to automate the evaluation processes as well as to enhance the objectivity of data assessment routines. This paper aims to identify feasible methodologies towards the application of time-series analysis techniques to judiciously exploit the vast amount of readily available as well as the upcoming data resources. It continues the momentum of a greater effort to collect and archive SHM approaches that will serve as data-driven innovations for the assessment of damage through efficient algorithms and data analytics.

Walking the Torque: Proposed Work Plan for Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems

Energy Technology Data Exchange (ETDEWEB)

NONE

2011-07-01

Electric motor-driven system is the largest single energy end use accounting for more than 40% of global electricity consumption. This paper sets out an ambitious but achievable target with the global work plan to improve the energy efficiency of electric motor-driven system by 10% to 15% based on the finding of working paper ''Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems (Waide et al., 2011)''. If governments commit to the proposed work plan immediately and maintain resourcing levels, this could be achieved by 2030 and it would be equivalent to reducing total global electricity use by around 5%. The proposed work plan of this paper is to align regulatory settings within a globally applicable scheme. The IEA believes this target can only be achieved through global co-operation leading to aligned national policy settings that countries can unlock the economies of scale that will result from using more energy efficient EMDS.

Consumer-driven definition of traditional food products and innovation in traditional foods. A qualitative cross-cultural study.

Science.gov (United States)

Guerrero, Luis; Guàrdia, Maria Dolors; Xicola, Joan; Verbeke, Wim; Vanhonacker, Filiep; Zakowska-Biemans, Sylwia; Sajdakowska, Marta; Sulmont-Rossé, Claire; Issanchou, Sylvie; Contel, Michele; Scalvedi, M Luisa; Granli, Britt Signe; Hersleth, Margrethe

2009-04-01

Traditional food products (TFP) are an important part of European culture, identity, and heritage. In order to maintain and expand the market share of TFP, further improvement in safety, health, or convenience is needed by means of different innovations. The aim of this study was to obtain a consumer-driven definition for the concept of TFP and innovation and to compare these across six European countries (Belgium, France, Italy, Norway, Poland and Spain) by means of semantic and textual statistical analyses. Twelve focus groups were performed, two per country, under similar conditions. The transcriptions obtained were submitted to an ordinary semantic analysis and to a textual statistical analysis using the software ALCESTE. Four main dimensions were identified for the concept of TFP: habit-natural, origin-locality, processing-elaboration and sensory properties. Five dimensions emerged around the concept of innovation: novelty-change, variety, processing-technology, origin-ethnicity and convenience. TFP were similarly perceived in the countries analysed, while some differences were detected for the concept of innovation. Semantic and statistical analyses of the focus groups led to similar results for both concepts. In some cases and according to the consumers' point of view the application of innovations may damage the traditional character of TFP.

THE USE OF MARKETING INDICATORS TO MEASURE AND MONITOR THE EFFECTS OF IMPLEMENTING THE CONCEPT OF USER-DRIVEN INNOVATION

Directory of Open Access Journals (Sweden)

Marzena Krawczyk

2014-04-01

Full Text Available The importance of users as a source of information for company innovation activity was raised in the 1980s by von Hippel. Today, a concept of a similar basis is known and developed in Europe under the name of User-Driven Innovation (UDI. The UDI is based on the belief that enterprises which are able to create, often in close cooperation with customers, products and services with features desired by users will survive in the market. In order to achieve the above, companies are trying to identify the hidden, often unconscious, needs of users, in order to try to meet these needs (UDI - Consumer Voice or implement ready-made innovative solutions attributed to consumers (UDI - Consumer Leadership (Warzybok, et al., 2008; NORDEN, 2006. Due to the growing significance of users as a source of information for innovation activities it is important to find measures which could assess the impact of this source on company innovativeness (Krawczyk, 2013b. The aim of this paper is to show that marketing indicators focused on measuring the relationship with customers can be used to measure the effects of implementation of UDI in innovative companies.

China's indigenous innovation approach: the emergence of Chinese innovation theory?

NARCIS (Netherlands)

Vinig, T.; Bossink, B.A.G.

2015-01-01

Theory-driven and theory-based studies on innovation in China are relatively scarce. Most innovation studies about Chinese business are based on Chinese policy and government programmes and their results. This special issue of Technology Analysis and Strategic Management explores China's indigenous

A low-carbon future: Spatial planning's role in enhancing technological innovation in the built environment

International Nuclear Information System (INIS)

Crawford, Jenny; French, Will

2008-01-01

The scope of spatial planning activity includes issues of governance, corporate organisation, policy integration, statutory and regulatory frameworks, and technical analysis and design. The nature of its potential contribution to achieving low-carbon built environments will vary according to the resolution of tensions between pressures for leadership, consistent decision making and speed of change and the value placed on diversity, flexibility and innovation. A planning system that can support technological innovation will be characterised by high levels of organisational and institutional capacity and high-quality knowledge systems that support a focus on delivering place-based objectives. The paper reflects on further aspects of such a system and the issues that spatial planning needs to address in delivering low-carbon energy systems

Innovation Policy Development and the Emergence of New Innovation Paradigms

DEFF Research Database (Denmark)

Tanev, Stoyan; Knudsen, Mette Præst; Bisgaard, Tanja

2011-01-01

The objective of the present article is to discuss innovation policy issues related to three emerging innovation paradigms: user-driven innovation, open innovation, and value cocreation. It provides a summary of insights based on innovation policy practices and challenges in Denmark. The choice...... of Danish innovation policy practices is not accidental. In 2008 Denmark implemented 40 different national innovation programs by allocating about 400 million euros. Since the three emerging paradigms have become globally relevant, the discussion of Danish policy development challenges and practices...... is expected to be insightful for innovation experts from other developed countries that are currently dealing with the adoption of these paradigms....

SU-E-T-628: A Cloud Computing Based Multi-Objective Optimization Method for Inverse Treatment Planning.

Science.gov (United States)

Na, Y; Suh, T; Xing, L

2012-06-01

Multi-objective (MO) plan optimization entails generation of an enormous number of IMRT or VMAT plans constituting the Pareto surface, which presents a computationally challenging task. The purpose of this work is to overcome the hurdle by developing an efficient MO method using emerging cloud computing platform. As a backbone of cloud computing for optimizing inverse treatment planning, Amazon Elastic Compute Cloud with a master node (17.1 GB memory, 2 virtual cores, 420 GB instance storage, 64-bit platform) is used. The master node is able to scale seamlessly a number of working group instances, called workers, based on the user-defined setting account for MO functions in clinical setting. Each worker solved the objective function with an efficient sparse decomposition method. The workers are automatically terminated if there are finished tasks. The optimized plans are archived to the master node to generate the Pareto solution set. Three clinical cases have been planned using the developed MO IMRT and VMAT planning tools to demonstrate the advantages of the proposed method. The target dose coverage and critical structure sparing of plans are comparable obtained using the cloud computing platform are identical to that obtained using desktop PC (Intel Xeon® CPU 2.33GHz, 8GB memory). It is found that the MO planning speeds up the processing of obtaining the Pareto set substantially for both types of plans. The speedup scales approximately linearly with the number of nodes used for computing. With the use of N nodes, the computational time is reduced by the fitting model, 0.2+2.3/N, with r̂2>0.99, on average of the cases making real-time MO planning possible. A cloud computing infrastructure is developed for MO optimization. The algorithm substantially improves the speed of inverse plan optimization. The platform is valuable for both MO planning and future off- or on-line adaptive re-planning. © 2012 American Association of Physicists in Medicine.

Interactive Learning-driven Innovation in Upstream-Downstream Relations

DEFF Research Database (Denmark)

Machikita, Tomohiro; Ueki, Yasushi

2012-01-01

and process innovation using a survey of firm's self-reporting customer and supplier data in Indonesia, the Philippines, Thailand and Vietnam. Evidence from interconnected firms within a production chain suggests that firms with mutual exchanges between engineers and customers achieved product innovations...... with new technologies and new markets. However, this is not true for simple improvement of products or process innovation. Mutual exchanges with engineers between producers and suppliers within a chain can be expected to play an important role in the case of costly innovation and in situations unknown...

Resampling: An optimization method for inverse planning in robotic radiosurgery

International Nuclear Information System (INIS)

Schweikard, Achim; Schlaefer, Alexander; Adler, John R. Jr.

2006-01-01

By design, the range of beam directions in conventional radiosurgery are constrained to an isocentric array. However, the recent introduction of robotic radiosurgery dramatically increases the flexibility of targeting, and as a consequence, beams need be neither coplanar nor isocentric. Such a nonisocentric design permits a large number of distinct beam directions to be used in one single treatment. These major technical differences provide an opportunity to improve upon the well-established principles for treatment planning used with GammaKnife or LINAC radiosurgery. With this objective in mind, our group has developed over the past decade an inverse planning tool for robotic radiosurgery. This system first computes a set of beam directions, and then during an optimization step, weights each individual beam. Optimization begins with a feasibility query, the answer to which is derived through linear programming. This approach offers the advantage of completeness and avoids local optima. Final beam selection is based on heuristics. In this report we present and evaluate a new strategy for utilizing the advantages of linear programming to improve beam selection. Starting from an initial solution, a heuristically determined set of beams is added to the optimization problem, while beams with zero weight are removed. This process is repeated to sample a set of beams much larger compared with typical optimization. Experimental results indicate that the planning approach efficiently finds acceptable plans and that resampling can further improve its efficiency

The improved ET calculation for semiarid region based on an innovative aerodynamic roughness inversion method using multi-source remote sensing data

International Nuclear Information System (INIS)

Xing, Qiang; Wu, Bingfang; Zhu, Weiwei

2014-01-01

The aerodynamic roughness is one of the major parameters in describing the turbulent exchange process between terrestrial and atmosphere. Remote Sensing is recognized as an effective way to inverse this parameter at the regional scale. However, in the long time the inversion method is either dependent on the lookup table for different land covers or the Normalized Difference Vegetation Index (NDVI) factor only, which plays a very limited role in describing the spatial heterogeneity of this parameter and the evapotranspiration (ET) for different land covers. In fact, the aerodynamic roughness is influenced by different factors at the same time, including the roughness unit for hard surfaces, the vegetation dynamic growth and the undulating terrain. Therefore, this paper aims at developing an innovative aerodynamic roughness inversion method based on multi-source remote sensing data in a semiarid region, within the upper and middle reaches of Heihe River Basin. The radar backscattering coefficient was used to inverse the micro-relief of the hard surface. The NDVI was utilized to reflect the dynamic change of vegetated surface. Finally, the slope extracted from SRTM DEM (Shuttle Radar Topography Mission Digital Elevation Model) was used to correct terrain influence. The inversed aerodynamic roughness was imported into ETWatch system to validate the availability. The inversed and tested results show it plays a significant role in improving the spatial heterogeneity of the aerodynamic roughness and related ET for the experimental site

Medizinbibliotheken: Innovativ denken, strategisch planen, praktisch umsetzen / Medical libraries: think innovative, plan strategically, implement in practice

Directory of Open Access Journals (Sweden)

Bauer, Bruno

2011-12-01

Full Text Available The focus of the current issue 3/2011 of GMS Medizin – Bibliothek – Information is the annual conference 2011 of the German Medical Libraries Association in Cologne. The motto of the conference was “Think innovative, plan strategically, implement in practice”. Focal points of the meeting were innovation management, marketing and new applications in medical libraries.The authors in this issue are Bruno Bauer, Daniel Formanek & Helmut Dollfuß (E-Books at medical libraries: They came to stay, Ursula Georgy (Systematic innovation management, Maurizio Grilli (New library portal at Province College for Health-Care Professions Claudiana, Bozen, Sabine Köhrer-Weisser (Marketing in One Person Libraries, Roland Mumenthaler (Innovation Management at ETH-Bibliothek, Markus Schmiel (Performance-related bonuses at Hannover Medical School: practical experience report of the library, Guus van den Brekel (Mobile Computing & Semantic Web in Health & Medicine, Iris Reimann & Sonja Fräntz (Think innovative, plan strategically, implement in practice – Annual Meeting 2011 of the German MLA, 19th to 21th September in Cologne and Eike Hentschel (Aus der AGMB.

Determination of beam intensity in a single step for IMRT inverse planning

International Nuclear Information System (INIS)

Chuang, Keh-Shih; Chen, Tzong-Jer; Kuo, Shan-Chi; Jan, Meei-Ling; Hwang, Ing-Ming; Chen, Sharon; Lin, Ying-Chuan; Wu, Jay

2003-01-01

In intensity modulated radiotherapy (IMRT), targets are treated by multiple beams at different orientations each with spatially-modulated beam intensities. This approach spreads the normal tissue dose to a greater volume and produces a higher dose conformation to the target. In general, inverse planning is used for IMRT treatment planning. The inverse planning requires iterative calculation of dose distribution in order to optimize the intensity profile for each beam and is very computation intensive. In this paper, we propose a single-step method utilizing a figure of merit (FoM) to estimate the beam intensities for IMRT treatment planning. The FoM of a ray is defined as the ratio between the delivered tumour dose and normal tissue dose and is a good index for the dose efficacy of the ray. To maximize the beam utility, it is natural to irradiate the tumour with intensity of each ray proportional to the value of the FoM. The nonuniform beam intensity profiles are then fixed and the weights of the beam are determined iteratively in order to yield a uniform tumour dose. In this study, beams are employed at equispaced angles around the patient. Each beam with its field size that just covers the tumour is divided into a fixed number of beamlets. The FoM is calculated for each beamlet and this value is assigned to be the beam intensity. Various weighting factors are incorporated in the FoM computation to accommodate different clinical considerations. Two clinical datasets are used to test the feasibility of the algorithm. The resultant dose-volume histograms of this method are presented and compared to that of conformal therapy. Preliminary results indicate that this method reduces the critical organ doses at a small expense of uniformity in tumour dose distribution. This method estimates the beam intensity in one single step and the computation time is extremely fast and can be finished in less than one minute using a regular PC

Capability of leaf interdigitation with different inverse planning strategies in Monaco: an investigation of representative tumour sites

International Nuclear Information System (INIS)

Duan, Jinghao; Meng, Xiangjuan; Liu, Tonghai; Yin, Yong

2016-01-01

The aim of this study was to experimentally assess the dosimetric impact of leaf interdigitation using different inverse treatment strategies for representative tumour sites and to identify the situations in which leaf interdigitation can benefit these tumour sites. Sixty previously treated patients (15 nasopharyngeal carcinoma (NPC), 15 multiple brain metastasis (MBM), 15 cervical cancer and 15 prostate cancer) were re-planned for volumetric modulated arc therapy (VMAT), sliding window IMRT (dMLC) and step-and-shoot IMRT (ssIMRT) with and without leaf interdigitation. Various dosimetric variables, such as PTV coverage, OARs sparing, delivery efficiency and planning time, were evaluated for each plan. In addition, a protocol developed by our group was applied to identify the situations in which leaf interdigitation can achieve benefits in clinical practice. Leaf interdigitation produced few benefits in PTV homogeneity for the MBM VMAT plans and NPC ssIMRT plans. For OARs, sparing was equivalent with and without leaf interdigitation. Leaf interdigitation showed an increase in MUs for dMLC plans and a decrease in MUs for ssIMRT plans. Leaf interdigitation resulted in an increase in segments for dMLC plans and a decrease in segments for NPC and MBM ssIMRT plans. For beam on time, leaf interdigitation showed an increase in MBM dMLC, NPC ssIMRT and prostate ssIMRT plans. In addition, leaf interdigitation saved planning time for VMAT and dMLC plans but increased planning time for ssIMRT plans. Leaf interdigitation does not improve plan quality when performing inverse treatment strategies, regardless of whether the target is simple or complex. However, it influences the delivery efficiency and planning time. Based on these observations, our study suggests that leaf interdigitation should be utilized when performing MBM VMAT plans and NPC ssIMRT plans. The online version of this article (doi:10.1186/s13014-016-0655-1) contains supplementary material, which is available to

Measurement of lower-hybrid-driven current profile by Abel inversion of electron-cyclotron wave transmission spectra

International Nuclear Information System (INIS)

Fidone, I.; Giruzzi, G.; Caron, X.; Meyer, R.L.

1991-01-01

A method for measuring the radial profile of the lower-hybrid-driven current in a low-density tokamak plasma using electron-cyclotron wave attenuation is discussed. This diagnostic scheme is reminiscent of the transmission interferometry approach, commonly used in tokamaks to measure the plasma density, but now the wave amplitude instead of the phase is measured. Wave attenuation of the ordinary mode at ω p much-lt ω c along vertical chords is measured; at these frequencies, the waves are absorbed by the superthermal tail sustained by lower-hybrid waves and the local wave absorption coefficient is proportional to the noninductive current density. The radial profile of this current is obtained from Abel inversion. An application to the Tore Supra tokamak is presented

Reinforcement-driven spread of innovations and fads

International Nuclear Information System (INIS)

Krapivsky, P L; Redner, S; Volovik, D

2011-01-01

We investigate how social reinforcement drives the spread of permanent innovations and transient fads. We account for social reinforcement by endowing each individual with M + 1 possible awareness states 0, 1, 2,..., M, with state M corresponding to adopting an innovation. An individual with awareness k 1−1/M for M > 1. When individuals can abandon the innovation at rate λ, the population fraction that remains clueless about the fad undergoes a phase transition at a critical rate λ c ; this transition is second order for M = 1 and first order for M > 1, with macroscopic fluctuations accompanying the latter. The time for the fad to disappear has an intriguing non-monotonic dependence on λ

The World of the [open] innovator

NARCIS (Netherlands)

Maaike Kleinsmann; Janneke Sluijs; Rianne Valkenburg

2011-01-01

"The World of the [open] innovator" described the background of the revolution we are in in innovation and what the consequences are for innovation, changing towards design driven open innovation. We reframed innovation to meet new needs and values of companies and organizations in our work field.

An innovative ultra-capacitor driven shape memory alloy actuator with an embedded control system

International Nuclear Information System (INIS)

Li, Peng; Song, Gangbing

2014-01-01

In this paper, an innovative ultra-capacitor driven shape memory alloy (SMA) actuator with an embedded control system is proposed targeting high power high-duty cycle SMA applications. The ultra-capacitor, which is capable of delivering massive amounts of instantaneous current in a compact dimension for high power applications, is chosen as the main component of the power supply. A specialized embedded system is designed from the ground up to control the ultra-capacitor driven SMA system. The control of the ultra-capacitor driven SMA is different from that of a regular constant voltage powered SMA system in that the energy and the voltage of the ultra-capacitor decrease as the system load increases. The embedded control system is also different from a computer-based control system in that it has limited computational power, and the control algorithm has to be designed to be simple while effective so that it can fit into the embedded system environment. The problem of a variable voltage power source induced by the use of the ultra-capacitor is solved by using a fuzzy PID (proportional integral and derivative) control. The method of using an ultra-capacitor to drive SMA actuators enabled SMA as a good candidate for high power high-duty cycle applications. The proposed embedded control system provides a good and ready-to-use solution for SMA high power applications. (paper)

Linking scientific and practical knowledge in innovation systems

OpenAIRE

Isaksen, Arne; Nilsson, Magnus

2011-01-01

New research indicates that firms combining the science-based STI (Science, Technology, Innovation) and the experience-based DUI (Doing, Using, Interacting) modes of innovation are more efficient when it comes to improving innovation capacity and competitiveness. With regard to innovation policy, the STI mode calls for a supply driven policy, typically aimed to commercialise research results. The DUI mode suggests a demand driven policy approach, such as supporting the development of new prod...

Test plan for the remote conveyance and innovative end effector demonstration

Energy Technology Data Exchange (ETDEWEB)

Rice, P.; Smith, A.M. [EG& G Idaho, Inc., Idaho Falls, ID (United States). Idaho National Engineering Lab.; Peterson, R.

1994-08-01

This test plan describes the demonstration of innovative equipment and processes specifically designed to be superior to currently employed technology for buried waste retrieval. The dumping of dry soil into a funnel/dumpster arrangement has been found to be the primary mechanism for dust generation during the retrieval of buried transuranic waste. The primary goal of the innovative end effector is to reduce dust generation and the potential spread of airborne contaminants during the dumping operation. In addition, regardless of the excavation technique, exhumed waste will have to be conveyed away from the retrieval area to a packaging area or directly to a treatment facility. The remote conveyance system is aimed at developing a remotely controlled vehicle to convey retrieved waste that will operate on variable terrain and remove workers from the hazardous zone. To demonstrate the remote conveyance system and the innovative end effector, the Buried Waste Integrated Demonstration (BWID) Program has subcontracted with RAHCO International to provide equipment and services to perform a demonstration of the technologies. The demonstration will be performed in two phases. In Phase I, the subcontractor will perform a full scale demonstration to assess the ability of the innovative end effector to control dust generation and the potential spread of contamination during dumping operations. Phase II includes performing a retrieval/conveyance demonstration. This demonstration will excavate, dump, and convey simulated waste to demonstrate the functionality of the system (e.g., maneuverability, retrieval rates, and system integration). Phase II of the demonstration will include all elements of the remote conveyance and end effector system. This test plan will describe the demonstration objectives, data quality objectives, equipment operation, and methods for collecting data during the demonstration.

Test plan for the remote conveyance and innovative end effector demonstration

International Nuclear Information System (INIS)

Rice, P.; Smith, A.M.; Peterson, R.

1994-08-01

This test plan describes the demonstration of innovative equipment and processes specifically designed to be superior to currently employed technology for buried waste retrieval. The dumping of dry soil into a funnel/dumpster arrangement has been found to be the primary mechanism for dust generation during the retrieval of buried transuranic waste. The primary goal of the innovative end effector is to reduce dust generation and the potential spread of airborne contaminants during the dumping operation. In addition, regardless of the excavation technique, exhumed waste will have to be conveyed away from the retrieval area to a packaging area or directly to a treatment facility. The remote conveyance system is aimed at developing a remotely controlled vehicle to convey retrieved waste that will operate on variable terrain and remove workers from the hazardous zone. To demonstrate the remote conveyance system and the innovative end effector, the Buried Waste Integrated Demonstration (BWID) Program has subcontracted with RAHCO International to provide equipment and services to perform a demonstration of the technologies. The demonstration will be performed in two phases. In Phase I, the subcontractor will perform a full scale demonstration to assess the ability of the innovative end effector to control dust generation and the potential spread of contamination during dumping operations. Phase II includes performing a retrieval/conveyance demonstration. This demonstration will excavate, dump, and convey simulated waste to demonstrate the functionality of the system (e.g., maneuverability, retrieval rates, and system integration). Phase II of the demonstration will include all elements of the remote conveyance and end effector system. This test plan will describe the demonstration objectives, data quality objectives, equipment operation, and methods for collecting data during the demonstration

Anatomy-based inverse planning dose optimization in HDR prostate implant: A toxicity study

International Nuclear Information System (INIS)

Mahmoudieh, Alireza; Tremblay, Christine; Beaulieu, Luc; Lachance, Bernard; Harel, Francois; Lessard, Etienne; Pouliot, Jean; Vigneault, Eric

2005-01-01

Background and purpose: The aim of this study is to evaluate the acute and late complications in patients who have received HDR implant boost using inverse planning, and to determine dose volume correlations. Patients and methods: Between September 1999 and October 2002, 44 patients with locally advanced prostate cancer (PSA ≥10 ng/ml, and/or Gleason score ≥7, and/or Stage T2c or higher) were treated with 40-45 Gy external pelvic field followed by 2-3 fraction of inverse-planned HDR implant boost (6-9.5 Gy /fraction). Median follow-up time was 1.7 years with 81.8% of patients who had at least 12 months of follow up (range 8.6-42.5. Acute and late morbidity data were collected and graded according to RTOG criteria. Questionnaires were used to collect prostate related measures of quality of life, and international prostate symptom score (IPSS) before and after treatment. Dose-volume histograms for prostate, urethra, bladder, penis bulb and rectum were analyzed. Results: The median patient age was 64 years. Of these, 32% were in the high risk group, and 61% in the intermediate risk group. 3 patients (7%) had no adverse prognostic factors. A single grade 3 GU acute toxicity was reported but no grade 3-4 acute GI toxicity. No grade 3-4 late GU or GI toxicity was reported. Acute (late) grade 2 urinary and rectal symptoms were reported in 31.8 (11.4%) and 4.6% (4.6%) of patients, respectively. A trend for predicting acute GU toxicity is seen for total HDR dose of more than 18 Gy (OR=3.6, 95%CI=[0.96-13.5], P=0.058). The evolution of toxicity is presented for acute and late GU/GI toxicity. Erectile dysfunction occurs in approximately 27% of patients who were not on hormonal deprivation, but may be taking sildenafil. The IPSS peaked on averaged 6 weeks post-implant and returned to the baseline at a median of 6 months. Conclusions: Inverse-planned HDR brachytherapy is a viable option to deliver higher dose to the prostate as a boost without increasing GU or rectal

AUDIT OF INNOVATIVE IDEAS AS THE PREVIOUS STAGE OF THE BUSINESS-PLAN OF START-UP PROJECTS

OpenAIRE

O. Zhylinska; M. Chuiko

2014-01-01

The phenomenon of feasibility reasoning of venture capital investment for the implementation of innovative ideas is revealed. The main elements of the methodology for feasibility of start-up projects, based on the concept of combination of life cycle of the market, product innovation and startup companies, are characterized. The comparative analysis of methods feasibility study and business plan start-up project is made, the importance of innovative ideas audit in future economic information ...

An efficient, selective collisional ejection mechanism for inner-shell population inversion in laser-driven plasmas

Energy Technology Data Exchange (ETDEWEB)

SCHROEDER,W. ANDREAS; NELSON,THOMAS R.; BORISOV,A.B.; LONGWORTH,J.W.; BOYER,K.; RHODES,C.K.

2000-06-07

A theoretical analysis of laser-driven collisional ejection of inner-shell electrons is presented to explain the previously observed anomalous kilovolt L-shell x-ray emission spectra from atomic Xe cluster targets excited by intense sub-picosecond 248nrn ultraviolet radiation. For incident ponderomotively-driven electrons photoionized by strong above threshold ionization, the collisional ejection mechanism is shown to be highly l-state and significantly n-state (i.e. radially) selective for time periods shorter than the collisional dephasing time of the photoionized electronic wavefunction. The resulting preference for the collisional ejection of 2p electrons by an ionized 4p state produces the measured anomalous Xe(L) emission which contains direct evidence for (i) the generation of Xe{sup 27+}(2p{sup 5}3d{sup 10}) and Xe{sup 28+}(2p{sup 5}3d{sup 9}) ions exhibiting inner-shell population inversion and (ii) a coherent correlated electron state collision responsible for the production of double 2p vacancies. For longer time periods, the selectivity of this coherent impact ionization mechanism is rapidly reduced by the combined effects of intrinsic quantum mechanical spreading and dephasing--in agreement with the experimentally observed and extremely strong {minus}{lambda}{sup {minus}6} pump-laser wavelength dependence of the efficiency of inner-shell (2p) vacancy production in Xe clusters excited in underdense plasmas.

Ultrafast magnetic vortex core switching driven by the topological inverse Faraday effect.

Science.gov (United States)

Taguchi, Katsuhisa; Ohe, Jun-ichiro; Tatara, Gen

2012-09-21

We present a theoretical discovery of an unconventional mechanism of inverse Faraday effect which acts selectively on topological magnetic structures. The effect, topological inverse Faraday effect, is induced by the spin Berry's phase of the magnetic structure when a circularly polarized light is applied. Thus a spin-orbit interaction is not necessary unlike that in the conventional inverse Faraday effect. We demonstrate by numerical simulation that topological inverse Faraday effect realizes ultrafast switching of a magnetic vortex within a switching time of 150 ps without magnetic field.

Forward versus inverse planning in oropharyngeal cancer: A comparative study using physical and biological indices

Directory of Open Access Journals (Sweden)

T Sundaram

2013-01-01

Full Text Available Context: Possible benefits of inverse planning. Aims: To analyze possible benefits of inverse planning intensity modulated radiation therapy (IMRT over field-in-field 3D conformal radiation therapy (FIF-3DCRT and to evaluate the differences if any, between low (6 Million Volts and high energy (15 Million Volts IMRT plans. Materials and Methods: Ten patients with squamous cell carcinoma of oropharynx, previously treated with 6 MV step and shoot IMRT were studied. V 100 , V 33 , V 66 , mean dose and normal tissue complication probabilities (NTCP were evaluated for parotid glands. Maximum dose and NTCP were the parameters for spinal cord. Statistical Analysis Used: A two-tailed t-test was applied to analyze statistical significance between the different techniques. Results: For combined parotid gland, a reduction of 4.374 Gy, 9.343 Gy and 7.883 Gy were achieved for D 100 , D 66 and D 33 , respectively in 6 MV-IMRT when compared with FIF-3DCRT. Spinal cord sparing was better in 6 MV-IMRT (40.963 ± 2.650, with an average reduction of maximum spinal cord dose by 7.355 Gy from that using the FIF-3DCRT technique. The uncomplicated tumor control probabilities values were higher in IMRT plans thus leading to a possibility of dose escalation. Conclusions: Though low-energy IMRT is the preferred choice for treatment of oropharyngeal cancers, FIF-3DCRT must be given due consideration as a second choice for its well established advantages over traditional conventioan technique.

Second law of thermodynamics and urban green infrastructure - A knowledge synthesis to address spatial planning strategies

OpenAIRE

Raffaele Pelorosso; Federica Gobattoni; Maria Nicolina Ripa; Antonio Leone

2018-01-01

Planning of ecosystem services provided by the Urban Green Infrastructure (UGI) is a key issue for urban sustainability. Planning strategies driven by the second law of thermodynamics (SLT) are innovative approaches to sustainability but they are still in seminal phase. In this article, a coupled review of SLT within spatial planning is accomplished looking at the main applications in urban green infrastructure (UGI) planning. The work has supported the definition of a preliminary low-entropy...

On innovation patterns and value-tensions in public services

DEFF Research Database (Denmark)

Fuglsang, Lars; Rønning, Rolf

2015-01-01

to the possibility of intertwined innovation patterns. Focusing public sector services, this paper agues that intertwined innovation patterns emerge within public services as a response to value-tensions. Values can be defined as measures for beneficial behaviour that guide innovation. Value-tensions in public...... services include tensions between the political, economic, communal, aesthetic and intellectual values. The contribution of the paper to service innovation research is the emphasis on the concept of intertwined innovation patterns, such as the intertwinement of science driven and task driven innovation....... Further, the paper contributes by pinpointing how varied values guide innovation in public services....

A neural network approach for the evaluation of the innovation outcomes of value co-creation practices in technology-driven firms

DEFF Research Database (Denmark)

di Tollo, Giacomo; Tanev, Stoyan

2010-01-01

Value co-creation is an emerging marketing and innovation paradigm describing a broader opening of the firm to its customers by providing them with the opportunity to become active participants in the design and development of personalized products, services and experiences. The aim of the present....... The preliminary simulation results indicate the existence of such relationship. The ANN approach does not suggest a specific model but the relationship that was found out between the forecasted values of the perception of innovation and its actual values clearly points in this direction....... contribution is to provide preliminary results from a research project focusing on the relationship between value co-creation and the perception of innovation in technology-driven firms. The data was collected in a previous study using web search techniques and factor analysis to identify the key co...

ADEPT - an innovative tool to reduce worker exposure using virtual job planning

Energy Technology Data Exchange (ETDEWEB)

Verzilov, Y.; Husain, A. [Kinectrics Inc., Toronto, Ontario (Canada); Trifanov, A. [SoftBeam Ltd., Montreal, Quebec (Canada)

2011-07-01

Advanced Dose Exposure Planning Tool (ADEPT) is Kinectrics' innovative solution for assisting nuclear station staff to effectively minimize worker dose during inspection and maintenance activities. ADEPT is a PC-based software that provides 3D virtual reality job simulations for radioactive environments around the CANDU reactor components, namely, the horizontal feeder cabinet, the vertical feeder cabinet and the reactor face. ADEPT allows users to walk through a virtual job plan and receive a live radiation dose estimate for the planned work. A worker dose estimation is based on a predetermined radiation field around reactor components and a user-defined job description. Radiation fields are based on the Outage Activity Transport Monitoring (OATM) data. (author)

ADEPT - an innovative tool to reduce worker exposure using virtual job planning

International Nuclear Information System (INIS)

Verzilov, Y.; Husain, A.; Trifanov, A.

2011-01-01

Advanced Dose Exposure Planning Tool (ADEPT) is Kinectrics' innovative solution for assisting nuclear station staff to effectively minimize worker dose during inspection and maintenance activities. ADEPT is a PC-based software that provides 3D virtual reality job simulations for radioactive environments around the CANDU reactor components, namely, the horizontal feeder cabinet, the vertical feeder cabinet and the reactor face. ADEPT allows users to walk through a virtual job plan and receive a live radiation dose estimate for the planned work. A worker dose estimation is based on a predetermined radiation field around reactor components and a user-defined job description. Radiation fields are based on the Outage Activity Transport Monitoring (OATM) data. (author)

Framing Creativity. User-driven Innovation in Changing Contexts

DEFF Research Database (Denmark)

Helms, Niels Henrik; Heilesen, Simon

2011-01-01

briefly discussing the concepts of creativity and innovation, the article outlines three levels of analysis. On a meta-level, a new model of quadruple helix innovation is introduced, providing a framework for interrelations between enterprise, government, knowledge institutions, and users (learners...

Inverse planning of energy-modulated electron beams in radiotherapy

International Nuclear Information System (INIS)

Gentry, John R.; Steeves, Richard; Paliwal, Bhudatt A.

2006-01-01

The use of megavoltage electron beams often poses a clinical challenge in that the planning target volume (PTV) is anterior to other radiosensitive structures and has variable depth. To ensure that skin as well as the deepest extent of the PTV receives the prescribed dose entails prescribing to a point beyond the depth of peak dose for a single electron energy. This causes dose inhomogeneities and heightened potential for tissue fibrosis, scarring, and possible soft tissue necrosis. Use of bolus on the skin improves the entrant dose at the cost of decreasing the therapeutic depth that can be treated. Selection of a higher energy to improve dose homogeneity results in increased dose to structures beyond the PTV, as well as enlargement of the volume receiving heightened dose. Measured electron data from a linear accelerator was used as input to create an inverse planning tool employing energy and intensity modulation using bolus (e-IMRT TM ). Using tools readily available in a radiotherapy department, the applications of energy and intensity modulation on the central axis makes it possible to remove hot spots of 115% or more over the depths clinically encountered. The e-IMRT TM algorithm enables the development of patient-specific dose distributions with user-defined positions of peak dose, range, and reduced dose to points beyond the prescription point

Framing Creativity. User-driven Innovation in Changing Contexts

DEFF Research Database (Denmark)

Helms, Niels Henrik; Heilesen, Simon

2011-01-01

-project). After briefly discussing the concepts of creativity and innovation, the article outlines three levels of analysis. On a meta-level, a new model of quadruple helix innovation is introduced, providing a framework for interrelations between enterprise, government, knowledge institutions, and users...

Results and future plans for the innovative basic research on high temperature engineering

International Nuclear Information System (INIS)

2001-05-01

The High Temperature Engineering Test Reactor (HTTR) is under the rise-to-power stage at the Oarai Research Establishment of Japan Atomic Energy Research Institute (JAERI). This reactor is aimed not only at establishment of the infrastructural technology on high temperature gas-cooled reactor and its upgrading, but also at promotion of the innovative basic research on high temperature engineering. The research is a series of innovative high-temperature irradiation studies, making the best use of the characteristic of the HTTR that it provides a very wide irradiation space at high temperatures. The JAERI has been conducting preliminary tests of the innovative research since 1994, in collaboration with universities and other research institutes, in the fields of 1) new materials development, 2) high temperature radiation chemistry and fusion-related research, and 3) high temperature irradiation techniques and other nuclear research. The HTTR Utilization Research Committee has been examining the results and methodology of the preliminary tests and the future plans, as well as examining the preparatory arrangements of facilities for the HTTR irradiation and post-irradiation examinations. This report presents a summary of results of the preliminary tests and preparatory arrangements for about seven years, together with an outline of the future plans. (author)

Managing collaborative innovation networks

DEFF Research Database (Denmark)

Stevens, Vidar; Agger, Annika

2017-01-01

Collaborative innovation networks are increasingly used as vehicles for fostering innovative policy solutions. However, scholars have noted that the extent to which collaborative networks can actually contribute to the development of innovative policy solutions depends on how they are managed...... a Flemish administrative network to develop a radical new Spatial Planning Policy Plan. This study shows that the best way to manage collaborative innovation networks is not to press directly for results, but take the time to invest in relationship-building and together agree on a planning and clear process...... steps. Such a management approach allows actors to get to know each other and from thereon expand, with more background and appreciation for the others’ goals, behaviors, and intentions, their group activities concerning the formulation of a radical and innovative policy plan....

AUDIT OF INNOVATIVE IDEAS AS THE PREVIOUS STAGE OF THE BUSINESS-PLAN OF START-UP PROJECTS

Directory of Open Access Journals (Sweden)

O. Zhylinska

2014-09-01

Full Text Available The phenomenon of feasibility reasoning of venture capital investment for the implementation of innovative ideas is revealed. The main elements of the methodology for feasibility of start-up projects, based on the concept of combination of life cycle of the market, product innovation and startup companies, are characterized. The comparative analysis of methods feasibility study and business plan start-up project is made, the importance of innovative ideas audit in future economic information generation and investment decisions of informal venture capital investors are shown.

Participatory Innovation

DEFF Research Database (Denmark)

Buur, Jacob; Matthews, Ben

In this paper we discuss the potential for Participatory Design (PD) to make a fundamental contribution to the business-oriented field of user-driven innovation, taking note of where we find PD can best benefit from interaction with this other field. We examine some of the challenges that must...... be addressed if PD is to contribute to innovation processes in companies. We conclude by presenting a research agenda comprising of six promising topics to shape a new discipline of Participatory Innovation....

A Framework for Measuring the Benefits of IT Innovation

DEFF Research Database (Denmark)

Andresen, Jan Lambrecht; Baldwin, Andrew; Betts, Martin

2000-01-01

This paper presents a new framework for measuring the benefits of IT in construction. The framework is based on the principle that benefits realisation must be managed by: planning for strategic alignment and business-driven exploitation, managing the process of predicting benefits......, and by measuring resulting benefits after a system or innovation is implemented. Three distinct types of benefits are identified within the new framework associated with business efficiency, business effectiveness and business performance.A key barrier to the more effective exploitation and application...

Support of business and innovations in strategic planning of regional development on the municipal level of the Czech Republic

Directory of Open Access Journals (Sweden)

Pavel Grebeníček

2013-01-01

Full Text Available The article deals with a strategic planning of the regional development on the municipal level of the Czech Republic with a focus on the theme of business and innovations support. The main aim of this paper is to explore and compare 13 regional capital’s approach to the issue of business and innovations support based on information provided in the basic strategic documents. The results of the analysis show that the topic of the business and innovations support occurs in all reviewed documents. However several partial imperfections of analysed documents were also identified. The paper also fulfilled the secondary objective of assessing the strength of links between the processes of strategic planning of regional development and the processes of budgeting in the thematic area of business and innovations support.

Collaborative innovation

DEFF Research Database (Denmark)

Torfing, Jacob; Sørensen, Eva; Hartley, Jean

2013-01-01

, which emphasizes market competition; the neo-Weberian state, which emphasizes organizational entrepreneurship; and collaborative governance, which emphasizes multiactor engagement across organizations in the private, public, and nonprofit sectors. The authors conclude that the choice of strategies......-driven private sector is more innovative than the public sector by showing that both sectors have a number of drivers of as well as barriers to innovation, some of which are similar, while others are sector specific. The article then systematically analyzes three strategies for innovation: New Public Management......There are growing pressures for the public sector to be more innovative but considerable disagreement about how to achieve it. This article uses institutional and organizational analysis to compare three major public innovation strategies. The article confronts the myth that the market...

WE-H-207B-02: MR-Driven RT Planning

Energy Technology Data Exchange (ETDEWEB)

Cao, M. [UCLA School of Medicine (United States)

2016-06-15

In recent years, steady progress has been made towards the implementation of MRI in external beam radiation therapy for processes ranging from treatment simulation to in-room guidance. Novel procedures relying mostly on MR data are currently implemented in the clinic. This session will cover topics such as (a) commissioning and quality control of the MR in-room imagers and simulators specific to RT, (b) treatment planning requirements, constraints and challenges when dealing with various MR data, (c) quantification of organ motion with an emphasis on treatment delivery guidance, and (d) MR-driven strategies for adaptive RT workflows. The content of the session was chosen to address both educational and practical key aspects of MR guidance. Learning Objectives: Good understanding of MR testing recommended for in-room MR imaging as well as image data validation for RT chain (e.g. image transfer, filtering for consistency, spatial accuracy, manipulation for task specific); Familiarity with MR-based planning procedures: motivation, core workflow requirements, current status, challenges; Overview of the current methods for the quantification of organ motion; Discussion on approaches for adaptive treatment planning and delivery. T. Stanescu - License agreement with Modus Medical Devices to develop a phantom for the quantification of MR image system-related distortions.; T. Stanescu, N/A.

WE-H-207B-02: MR-Driven RT Planning

International Nuclear Information System (INIS)

Cao, M.

2016-01-01

In recent years, steady progress has been made towards the implementation of MRI in external beam radiation therapy for processes ranging from treatment simulation to in-room guidance. Novel procedures relying mostly on MR data are currently implemented in the clinic. This session will cover topics such as (a) commissioning and quality control of the MR in-room imagers and simulators specific to RT, (b) treatment planning requirements, constraints and challenges when dealing with various MR data, (c) quantification of organ motion with an emphasis on treatment delivery guidance, and (d) MR-driven strategies for adaptive RT workflows. The content of the session was chosen to address both educational and practical key aspects of MR guidance. Learning Objectives: Good understanding of MR testing recommended for in-room MR imaging as well as image data validation for RT chain (e.g. image transfer, filtering for consistency, spatial accuracy, manipulation for task specific); Familiarity with MR-based planning procedures: motivation, core workflow requirements, current status, challenges; Overview of the current methods for the quantification of organ motion; Discussion on approaches for adaptive treatment planning and delivery. T. Stanescu - License agreement with Modus Medical Devices to develop a phantom for the quantification of MR image system-related distortions.; T. Stanescu, N/A

Connection, regulation, and care plan innovation: a case study of four nursing homes.

Science.gov (United States)

Colón-Emeric, Cathleen S; Lekan-Rutledge, Deborah; Utley-Smith, Queen; Ammarell, Natalie; Bailey, Donald; Piven, Mary L; Corazzini, Kirsten; Anderson, Ruth A

2006-01-01

We describe how connections among nursing home staff impact the care planning process using a complexity science framework. We completed six-month case studies of four nursing homes. Field observations (n = 274), shadowing encounters (n = 69), and in-depth interviews (n = 122) of 390 staff at all levels were conducted. Qualitative analysis produced a conceptual/thematic description and complexity science concepts were used to produce conceptual insights. We observed that greater levels of staff connection were associated with higher care plan specificity and innovation. Connection of the frontline nursing staff was crucial for (1) implementation of the formal care plan and (2) spontaneous informal care planning responsive to changing resident needs. Although regulations could theoretically improve cognitive diversity and information flow in care planning, we observed instances of regulatory oversight resulting in less specific care plans and abandonment of an effective care planning process. Interventions which improve staff connectedness may improve resident outcomes.

Dosimetric and QA aspects of Konrad inverse planning system for commissioning intensity-modulated radiation therapy

Directory of Open Access Journals (Sweden)

Deshpande Shrikant

2007-01-01

Full Text Available The intensity-modulated radiation therapy (IMRT planning is performed using the Konrad inverse treatment planning system and the delivery of the treatment by using Siemens Oncor Impression Plus linear accelerator (step and shoot, which has been commissioned recently. The basic beam data required for commissioning the system were generate. The quality assurance of relative and absolute dose distribution was carried out before clinical implementation. The salient features of Konrad planning system, like dependence of grid size on dose volume histogram (DVH, number of intensity levels and step size in sequencer, are studied quantitatively and qualitatively. To verify whether the planned dose [from treatment planning system (TPS] and delivered dose are the same, the absolute dose at a point is determined using CC01 ion chamber and the axial plane dose distribution is carried out using Kodak EDR2 in conjunction with OmniPro IMRT Phantom and OmniPro IMRT software from Scanditronix Wellhofer. To obtain the optimum combination in leaf sequencer module, parameters like number of intensity levels, step size are analyzed. The difference between pixel values of optimum fluence profile and the fluence profile obtained for various combinations of number of intensity levels and step size is compared and plotted. The calculations of the volume of any RT structure in the dose volume histogram are compared using grid sizes 3 mm and 4 mm. The measured and planned dose at a point showed good agreement (< 3% except for a few cases wherein the chamber was placed in a relatively high dose gradient region. The axial plane dose distribution using film dosimetry shows excellent agreement (correlation coefficient> 0.97 in all the cases. In the leaf sequencer module, the combination of number of intensity level 7 with step size of 3 is the optimal solution for obtaining deliverable segments. The RT structure volume calculation is found to be more accurate with grid size of

A Treatment Planning Analysis of Inverse-Planned and Forward-Planned Intensity-Modulated Radiation Therapy in Nasopharyngeal Carcinoma

International Nuclear Information System (INIS)

Poon, Ian M; Xia Ping; Weinberg, Vivien; Sultanem, Khalil; Akazawa, Clayton C.; Akazawa, Pamela C.; Verhey, Lynn; Quivey, Jeanne Marie; Lee, Nancy

2007-01-01

Purpose: To compare dose-volume histograms of target volumes and organs at risk in 57 patients with nasopharyngeal carcinoma (NPC) with inverse- (IP) or forward-planned (FP) intensity-modulated radiation treatment (IMRT). Methods and Materials: The DVHs of 57 patients with NPC with IMRT with or without chemotherapy were reviewed. Thirty-one patients underwent IP IMRT, and 26 patients underwent FP IMRT. Treatment goals were to prescribe a minimum dose of 66-70 Gy for gross tumor volume and 59.4 Gy for planning target volume to greater than 95% of the volume. Multiple selected end points were used to compare dose-volume histograms of the targets, including minimum, mean, and maximum doses; percentage of target volume receiving less than 90% (1-V90%), less than 95% (1-V95%), and greater than 105% (1-V105%). Dose-volume histograms of organs at risk were evaluated with characteristic end points. Results: Both planning methods provided excellent target coverage with no statistically significant differences found, although a trend was suggested in favor of improved target coverage with IP IMRT in patients with T3/T4 NPC (p = 0.10). Overall, IP IMRT statistically decreased the dose to the parotid gland, temporomandibular joint, brain stem, and spinal cord overall, whereas IP led to a dose decrease to the middle/inner ear in only the T1/T2 subgroup. Conclusions: Use of IP and FP IMRT can lead to good target coverage while maintaining critical structures within tolerance. The IP IMRT selectively spared these critical organs to a greater degree and should be considered the standard of treatment in patients with NPC, particularly those with T3/T4. The FP IMRT is an effective second option in centers with limited IP IMRT capacity. As a modification of conformal techniques, the human/departmental resources to incorporate FP-IMRT should be nominal

Participatory Innovation

DEFF Research Database (Denmark)

Buur, Jacob; Matthews, Ben

2008-01-01

An increasing number of corporations engage with users in co-innovation of products and services. But there are a number of competing perspectives on how best to integrate these understandings into existing corporate innovation development processes. This paper maps out three of the dominant appr...... the challenges such an approach sets to innovation management, and discuss research directions we see as fundamental to the development of the field of user-driven innovation. Udgivelsesdato: September......An increasing number of corporations engage with users in co-innovation of products and services. But there are a number of competing perspectives on how best to integrate these understandings into existing corporate innovation development processes. This paper maps out three of the dominant...... approaches, compares them in terms of goals, methods and basic philosophy, and shows how they may beneficially enrich one another. We will present an industrial innovation case that has been instrumental to the development of what we have termed ‘Participatory Innovation’. Based on this we will list...

Modeling the sustainable development of innovation in transport construction based on the communication approach

Science.gov (United States)

Revunova, Svetlana; Vlasenko, Vyacheslav; Bukreev, Anatoly

2017-10-01

The article proposes the models of innovative activity development, which is driven by the formation of “points of innovation-driven growth”. The models are based on the analysis of the current state and dynamics of innovative development of construction enterprises in the transport sector and take into account a number of essential organizational and economic changes in management. The authors substantiate implementing such development models as an organizational innovation that has a communication genesis. The use of the communication approach to the formation of “points of innovation-driven growth” allowed the authors to apply the mathematical tools of the graph theory in order to activate the innovative activity of the transport industry in the region. As a result, the authors have proposed models that allow constructing an optimal mechanism for the formation of “points of innovation-driven growth”.

Operationalizing Demand-Driven Agricultural Research: Institutional Influences in a Public and Private System of Research Planning in the Netherlands

Science.gov (United States)

Klerkx, Laurens; Leeuwis, Cees

2009-01-01

The trend towards demand-driven agricultural research has focused attention on the inclusion of farmers in research planning. Theoretically, this should enhance ownership and increase the applicability of research. However, in practice, several tensions emerge with regard to the operationalization of such "user-driven research planning…

Disaster and Contingency Planning for Scientific Shared Resource Cores.

Science.gov (United States)

Mische, Sheenah; Wilkerson, Amy

2016-04-01

Progress in biomedical research is largely driven by improvements, innovations, and breakthroughs in technology, accelerating the research process, and an increasingly complex collaboration of both clinical and basic science. This increasing sophistication has driven the need for centralized shared resource cores ("cores") to serve the scientific community. From a biomedical research enterprise perspective, centralized resource cores are essential to increased scientific, operational, and cost effectiveness; however, the concentration of instrumentation and resources in the cores may render them highly vulnerable to damage from severe weather and other disasters. As such, protection of these assets and the ability to recover from a disaster is increasingly critical to the mission and success of the institution. Therefore, cores should develop and implement both disaster and business continuity plans and be an integral part of the institution's overall plans. Here we provide an overview of key elements required for core disaster and business continuity plans, guidance, and tools for developing these plans, and real-life lessons learned at a large research institution in the aftermath of Superstorm Sandy.

Disaster and Contingency Planning for Scientific Shared Resource Cores

Science.gov (United States)

Wilkerson, Amy

2016-01-01

Progress in biomedical research is largely driven by improvements, innovations, and breakthroughs in technology, accelerating the research process, and an increasingly complex collaboration of both clinical and basic science. This increasing sophistication has driven the need for centralized shared resource cores (“cores”) to serve the scientific community. From a biomedical research enterprise perspective, centralized resource cores are essential to increased scientific, operational, and cost effectiveness; however, the concentration of instrumentation and resources in the cores may render them highly vulnerable to damage from severe weather and other disasters. As such, protection of these assets and the ability to recover from a disaster is increasingly critical to the mission and success of the institution. Therefore, cores should develop and implement both disaster and business continuity plans and be an integral part of the institution’s overall plans. Here we provide an overview of key elements required for core disaster and business continuity plans, guidance, and tools for developing these plans, and real-life lessons learned at a large research institution in the aftermath of Superstorm Sandy. PMID:26848285

Opening the door to innovation.

Science.gov (United States)

Schuurman, Janine; Graus, Yvo F; Labrijn, Aran F; Ruuls, Sigrid; Parren, Paul W H I

2014-01-01

Open innovation is the new buzz, with initiatives popping up left and right. Here, we give a personal perspective on a very successful, knowledge-driven innovation initiated in an academia- industry alliance, which culminated in technology platforms that enable the generation of therapeutic antibodies with novel properties. To start, we provide a general background on open innovation in the drug development field.

Acute small bowel toxicity and preoperative chemoradiotherapy for rectal cancer: Investigating dose-volume relationships and role for inverse planning

International Nuclear Information System (INIS)

Tho, Lye Mun; Glegg, Martin; Paterson, Jennifer; Yap, Christina; MacLeod, Alice; McCabe, Marie; McDonald, Alexander C.

2006-01-01

Purpose: The relationship between volume of irradiated small bowel (VSB) and acute toxicity in rectal cancer radiotherapy is poorly quantified, particularly in patients receiving concurrent preoperative chemoradiotherapy. Using treatment planning data, we studied a series of such patients. Methods and Materials: Details of 41 patients with locally advanced rectal cancer were reviewed. All received 45 Gy in 25 fractions over 5 weeks, 3-4 fields three-dimensional conformal radiotherapy with daily 5-fluorouracil and folinic acid during Weeks 1 and 5. Toxicity was assessed prospectively in a weekly clinic. Using computed tomography planning software, the VSB was determined at 5 Gy dose intervals (V 5 , V 1 , etc.). Eight patients with maximal VSB had dosimetry and radiobiological modeling outcomes compared between inverse and conformal three-dimensional planning. Results: VSB correlated strongly with diarrheal severity at every dose level (p 5 and V 15 . Conclusions: A strong dose-volume relationship exists between VSB and acute diarrhea at all dose levels during preoperative chemoradiotherapy. Our constructed model may be useful in predicting toxicity, and this has been derived without the confounding influence of surgical excision on bowel function. Inverse planning can reduce calculated dose to small bowel and late NTCP, and its clinical role warrants further investigation

Integration of treatment innovation planning and implementation: strategic process models and organizational challenges.

Science.gov (United States)

Lehman, Wayne E K; Simpson, D Dwayne; Knight, Danica K; Flynn, Patrick M

2011-06-01

Sustained and effective use of evidence-based practices in substance abuse treatment services faces both clinical and contextual challenges. Implementation approaches are reviewed that rely on variations of plan-do-study-act (PDSA) cycles, but most emphasize conceptual identification of core components for system change strategies. A two-phase procedural approach is therefore presented based on the integration of Texas Christian University (TCU) models and related resources for improving treatment process and program change. Phase 1 focuses on the dynamics of clinical services, including stages of client recovery (cross-linked with targeted assessments and interventions), as the foundations for identifying and planning appropriate innovations to improve efficiency and effectiveness. Phase 2 shifts to the operational and organizational dynamics involved in implementing and sustaining innovations (including the stages of training, adoption, implementation, and practice). A comprehensive system of TCU assessments and interventions for client and program-level needs and functioning are summarized as well, with descriptions and guidelines for applications in practical settings. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

The dosimetric impact of inversely optimized arc radiotherapy plan modulation for real-time dynamic MLC tracking delivery

International Nuclear Information System (INIS)

Falk, Marianne; Larsson, Tobias; Keall, Paul; Chul Cho, Byung; Aznar, Marianne; Korreman, Stine; Poulsen, Per; Munck af Rosenschoeld, Per

2012-01-01

Purpose: Real-time dynamic multileaf collimator (MLC) tracking for management of intrafraction tumor motion can be challenging for highly modulated beams, as the leaves need to travel far to adjust for target motion perpendicular to the leaf travel direction. The plan modulation can be reduced by using a leaf position constraint (LPC) that reduces the difference in the position of adjacent MLC leaves in the plan. The purpose of this study was to investigate the impact of the LPC on the quality of inversely optimized arc radiotherapy plans and the effect of the MLC motion pattern on the dosimetric accuracy of MLC tracking delivery. Specifically, the possibility of predicting the accuracy of MLC tracking delivery based on the plan modulation was investigated. Methods: Inversely optimized arc radiotherapy plans were created on CT-data of three lung cancer patients. For each case, five plans with a single 358 deg. arc were generated with LPC priorities of 0 (no LPC), 0.25, 0.5, 0.75, and 1 (highest possible LPC), respectively. All the plans had a prescribed dose of 2 Gy x 30, used 6 MV, a maximum dose rate of 600 MU/min and a collimator angle of 45 deg. or 315 deg. To quantify the plan modulation, an average adjacent leaf distance (ALD) was calculated by averaging the mean adjacent leaf distance for each control point. The linear relationship between the plan quality [i.e., the calculated dose distributions and the number of monitor units (MU)] and the LPC was investigated, and the linear regression coefficient as well as a two tailed confidence level of 95% was used in the evaluation. The effect of the plan modulation on the performance of MLC tracking was tested by delivering the plans to a cylindrical diode array phantom moving with sinusoidal motion in the superior-inferior direction with a peak-to-peak displacement of 2 cm and a cycle time of 6 s. The delivery was adjusted to the target motion using MLC tracking, guided in real-time by an infrared optical system

A strategy and protocol to increase diffusion of energy related innovations into the mainstream of housing associations

International Nuclear Information System (INIS)

Egmond, C.; Jonkers, R.; Kok, G.

2006-01-01

To reduce human causes of global warming, large scale implementation of innovative products that save energy is necessary. Innovative products first reach the early market actors who are driven by a visionary attitude. Hereafter, the products must reach the much larger mainstream market whose actors are driven by a pragmatic attitude. Many innovations, however, only appeal to the visionary early market and do not meet the more pragmatic needs of the mainstream. For that reason, innovations often fall in a 'chasm' between the early market and the mainstream and fail to reach the mainstream. We developed a strategy and a protocol to aid governmental agencies in influencing the mainstream members of housing associations to adopt energy conservation innovations. Our method is an adaptation of an existing marketing method and applicable to other target groups. The first step in crossing this chasm is to find a niche segment in the mainstream as the starting point for winning the rest of the mainstream. By surveying the target group and analyzing the data, we identified 29 housing associations (234 interviewed) that belong to this niche segment. Identifying the niche segment and its determinants of behaviour is part of our 4-step protocol that leads to adapting the innovative product to meet the needs of the niche and setting up a marketing plan to win the rest of the mainstream

Learning from Low Income Market-driven Innovations and Social ...

International Development Research Centre (IDRC) Digital Library (Canada)

A social enterprise is one that uses innovation, finance and business acumen in a ... their capacity for innovation and the performance of their business models. ... There is no doubt that Canada is tying its future growth prospects to Asia.

A comparison of forward planning and optimised inverse planning

International Nuclear Information System (INIS)

Oldham, Mark; Neal, Anthony; Webb, Steve

1995-01-01

A radiotherapy treatment plan optimisation algorithm has been applied to 48 prostate plans and the results compared with those of an experienced human planner. Twelve patients were used in the study, and a 3, 4, 6 and 8 field plan (with standard coplanar beam angles for each plan type) were optimised by both the human planner and the optimisation algorithm. The human planner 'optimised' the plan by conventional forward planning techniques. The optimisation algorithm was based on fast-simulated-annealing. 'Importance factors' assigned to different regions of the patient provide a method for controlling the algorithm, and it was found that the same values gave good results for almost all plans. The plans were compared on the basis of dose statistics and normal-tissue-complication-probability (NTCP) and tumour-control-probability (TCP). The results show that the optimisation algorithm yielded results that were at least as good as the human planner for all plan types, and on the whole slightly better. A study of the beam-weights chosen by the optimisation algorithm and the planner will be presented. The optimisation algorithm showed greater variation, in response to individual patient geometry. For simple (e.g. 3 field) plans it was found to consistently achieve slightly higher TCP and lower NTCP values. For more complicated (e.g. 8 fields) plans the optimisation also achieved slightly better results with generally less numbers of beams. The optimisation time was always ≤5 minutes; a factor of up to 20 times faster than the human planner

ANSTO Strategic Plan 2000/2001 - 2004/2005

International Nuclear Information System (INIS)

2001-01-01

This new five-year plan outlines strategies to prepare ANSTO for the opportunities provided by the replacement research reactor, building on the successes of its predecessor plan in reforming the organisation.The Strategic Plan focuses on the innovation process itself as a driver of future prosperity. It embodies the Commonwealth Government's emphasis on an outputs and outcomes framework to deliver results, and to further strengthen accountability in light of the significant research investment at ANSTO. A balanced Scorecard approach of driving strategic and business processes through four different perspectives will ensure the efficient achievement of relevant results. ANSTO is responsible for delivering specific scientific services and products to government, industry, academia and other research organisations. Activities are grouped into five externally focused core business areas.These are the areas through which ANSTO will develop new knowledge, deliver quality services, support business opportunities and ensure that nuclear science and technology and related capabilities provide an innovative impetus to benefit society. A separate internal stream provides support for organisational development. The challenge of the next five years is to streamline the innovation process to improve delivery of results. ANSTO is a knowledge-based organisation with the major strengths being its people, a multidisciplinary approach to its operation, and its facilities.Through a collaborative effort driven by this strategic plan, ANSTO will be able to deliver new and exciting outcomes that can be put into practice by participants and clients across Australia. ANSTO's strategic direction, as presented in this plan, is owned by the Board and staff

SU-E-T-14: A Comparative Study Between Forward and Inverse Planning in Gamma Knife Radiosurgery for Acoustic Neuroma Tumours

Energy Technology Data Exchange (ETDEWEB)

Gopishankar, N; Agarwal, Priyanka; Bisht, Raj Kishor; Kale, S S; Rath, G K; Chander, S; Sharma, B S [All India Institute of Medical Sciences, New Delhi (India)

2015-06-15

Purpose: To evaluate forward and inverse planning methods for acoustic neuroma cases treated in Gamma Knife Perfexion. Methods: Five patients with acoustic neuroma tumour abutting brainstem were planned twice in LGP TPS (Version 10.1) using TMR10 algorithm. First plan was entirely based on forward planning (FP) in which each shot was chosen manually. Second plan was generated using inverse planning (IP) for which planning parameters like coverage, selectivity, gradient index (GI) and beam-on time threshold were set. Number of shots in IP was automatically selected by objective function using iterative process. In both planning methods MRI MPRAGE sequence images were used for tumour localization and planning. A planning dose of 12Gy at 50% isodose level was chosen. Results and Discussion: Number of shots used in FP was greater than IP and beam-on time in FP was in average 1.4 times more than IP. One advantage of FP was that the brainstem volume subjected to 6Gy dose (25% isodose) was less in FP than IP. Our results showed use of more number of shots as in FP results in GI less than or equal to 2.55 which is close to its lower limit. Dose homogeneity index (DHI) analysis of FP and IP showed average values of 0.59 and 0.67 respectively. General trend in GK for planning in acoustic neuroma cases is to use small collimator shots to avoid dose to adjacent critical structures. More number of shots and prolonged treatment time causes inconvenience to the patients. Similarly overuse of automatic shot shaping as in IP results in increased scatter dose. A compromise is required in shot selection for these cases. Conclusion: IP method could be used in acoustic neuroma cases to decrease treatment time provided the source sector openings near brainstem are shielded or adjusted appropriately to reduce brainstem dose.

Optimal Orientation Planning and Control Deviation Estimation on FAST Cable-Driven Parallel Robot

Directory of Open Access Journals (Sweden)

Hui Li

2014-03-01

Full Text Available The paper is devoted theoretically to the optimal orientation planning and control deviation estimation of FAST cable-driven parallel robot. Regarding the robot characteristics, the solutions are obtained from two constrained optimizations, both of which are based on the equilibrium of the cabin and the attention on force allocation among 6 cable tensions. A kind of control algorithm is proposed based on the position and force feedbacks. The analysis proves that the orientation control depends on force feedback and the optimal tension solution corresponding to the planned orientation. Finally, the estimation of orientation deviation is given under the limit range of tension errors.

Brugerdreven innovation

DEFF Research Database (Denmark)

Helms, Niels Henrik; Larsen, Lasse Juel

2007-01-01

På et generelt plan er vores afsæt et opgør med traditionelle modeller for kreativitet og innovation. Artiklen mener, at brugerdreven innovation ikke bare en god idé, men en beskrivelse af, hvordan innovation finder sted. Vores afsæt er interaktionsdesign, hvor vi bygger på den antagelse...

Comparison of three IMRT inverse planning techniques that allow for partial esophagus sparing in patients receiving thoracic radiation therapy for lung cancer

International Nuclear Information System (INIS)

Xiao Ying; Werner-Wasik, Maria; Michalski, D.; Houser, C.; Bednarz, G.; Curran, W.; Galvin, James

2004-01-01

The purpose of this study is to compare 3 intensity-modulated radiation therapy (IMRT) inverse treatment planning techniques as applied to locally-advanced lung cancer. This study evaluates whether sufficient radiotherapy (RT) dose is given for durable control of tumors while sparing a portion of the esophagus, and whether large number of segments and monitor units are required. We selected 5 cases of locally-advanced lung cancer with large central tumor, abutting the esophagus. To ensure that no more than half of the esophagus circumference at any level received the specified dose limit, it was divided into disk-like sections and dose limits were imposed on each. Two sets of dose objectives were specified for tumor and other critical structures for standard dose RT and for dose escalation RT. Plans were generated using an aperture-based inverse planning (ABIP) technique with the Cimmino algorithm for optimization. Beamlet-based inverse treatment planning was carried out with a commercial simulated annealing package (CORVUS) and with an in-house system that used the Cimmino projection algorithm (CIMM). For 3 of the 5 cases, results met all of the constraints from the 3 techniques for the 2 sets of dose objectives. The CORVUS system without delivery efficiency consideration required the most segments and monitor units. The CIMM system reduced the number while the ABIP techniques showed a further reduction, although for one of the cases, a solution was not readily obtained using the ABIP technique for dose escalation objectives

The tempered stable process with infinitely divisible inverse subordinators

International Nuclear Information System (INIS)

Wyłomańska, Agnieszka

2013-01-01

In the last decade processes driven by inverse subordinators have become extremely popular. They have been used in many different applications, especially for data with observable constant time periods. However, the classical model, i.e. the subordinated Brownian motion, can be inappropriate for the description of observed phenomena that exhibit behavior not adequate for Gaussian systems. Therefore, in this paper we extend the classical approach and replace the Brownian motion by the tempered stable process. Moreover, on the other hand, as an extension of the classical model, we analyze the general class of inverse subordinators. We examine the main properties of the tempered stable process driven by inverse subordinators from the infinitely divisible class of distributions. We show the fractional Fokker–Planck equation of the examined process and the asymptotic behavior of the mean square displacement for two cases of subordinators. Additionally, we examine how an external force can influence the examined characteristics. (paper)

Innovation and knowledge transference in a cluster user-driven innovation perspective – the Inovcluster experience

Directory of Open Access Journals (Sweden)

Teresa Paiva

2016-04-01

Full Text Available Our purpose with this article is to show the importance of assessing trends and promoting innovation in a real business context, through a cluster ecosystem, mainly composed of micro-enterprises in the agro-industrial Portuguese sector.As many studies show, Inovcluster (which has 158 associates, from which 120 are enterprises is also a geographic region cluster, which improves innovation performance of businesses seeking to gain competitiveness and ability to improve their exportations in the agro-industrial Portuguese sector.The role of the cluster is fundamental to creating a model for knowledge transfer of innovation capacity, interconnecting its institutional, scientific and business associates. This model has to be adapted to the sector and enterprise characteristics, relying in an interconnecting structure which is more or less decentralized according to the mentioned features. Here we present an experience and case study of the Inovcluster ecosystem and its trends and innovation transfer to business value creation, contextualized within the regional strategy for smart specialization.We have shown how, through the establishment of an Inovcluster network, it is possible to integrate the contribution of different research and academic centres, channelled to assist micro-enterprises by innovating within a geographical constraint.

A fast inverse treatment planning strategy facilitating optimized catheter selection in image-guided high-dose-rate interstitial gynecologic brachytherapy.

Science.gov (United States)

Guthier, Christian V; Damato, Antonio L; Hesser, Juergen W; Viswanathan, Akila N; Cormack, Robert A

2017-12-01

Interstitial high-dose rate (HDR) brachytherapy is an important therapeutic strategy for the treatment of locally advanced gynecologic (GYN) cancers. The outcome of this therapy is determined by the quality of dose distribution achieved. This paper focuses on a novel yet simple heuristic for catheter selection for GYN HDR brachytherapy and their comparison against state of the art optimization strategies. The proposed technique is intended to act as a decision-supporting tool to select a favorable needle configuration. The presented heuristic for catheter optimization is based on a shrinkage-type algorithm (SACO). It is compared against state of the art planning in a retrospective study of 20 patients who previously received image-guided interstitial HDR brachytherapy using a Syed Neblett template. From those plans, template orientation and position are estimated via a rigid registration of the template with the actual catheter trajectories. All potential straight trajectories intersecting the contoured clinical target volume (CTV) are considered for catheter optimization. Retrospectively generated plans and clinical plans are compared with respect to dosimetric performance and optimization time. All plans were generated with one single run of the optimizer lasting 0.6-97.4 s. Compared to manual optimization, SACO yields a statistically significant (P ≤ 0.05) improved target coverage while at the same time fulfilling all dosimetric constraints for organs at risk (OARs). Comparing inverse planning strategies, dosimetric evaluation for SACO and "hybrid inverse planning and optimization" (HIPO), as gold standard, shows no statistically significant difference (P > 0.05). However, SACO provides the potential to reduce the number of used catheters without compromising plan quality. The proposed heuristic for needle selection provides fast catheter selection with optimization times suited for intraoperative treatment planning. Compared to manual optimization, the

Nonlinear Stimulated Raman Exact Passage by Resonance-Locked Inverse Engineering

Science.gov (United States)

Dorier, V.; Gevorgyan, M.; Ishkhanyan, A.; Leroy, C.; Jauslin, H. R.; Guérin, S.

2017-12-01

We derive an exact and robust stimulated Raman process for nonlinear quantum systems driven by pulsed external fields. The external fields are designed with closed-form expressions from the inverse engineering of a given efficient and stable dynamics. This technique allows one to induce a controlled population inversion which surpasses the usual nonlinear stimulated Raman adiabatic passage efficiency.

Medical innovation laws: an unnecessary innovation.

Science.gov (United States)

Richards, Bernadette

2016-06-01

Objective This paper aims to demonstrate that any suggestion that there is a need for specific innovation laws is flawed. Innovation is central to good medical practice and is adequately supported by current law. Methods The paper reviews the nature of medical innovation and outlines recent attempts in the UK to introduce specific laws aimed at 'encouraging' and 'supporting' innovation. The current legal framework is outlined and the role of the law in relation to medical innovation explored. Results The analysis demonstrates the cyclic relationship between medical advancement and the law and concludes that there is no requirement for specific innovation laws. Conclusions The law not only supports innovation and development in medical treatment but encourages it as central to a functioning medical system. There is no need to introduce specific laws aimed at medical innovation; to do so represents an unnecessary legal innovation and serves to complicate matters. What is known about the topic? Over recent months, there has been a great deal of discussion surrounding the law in the context of medical innovation. This was driven by the attempts in the UK to introduce specific laws in the Medical Innovation Bill. The general subject matter - negligence and the expected standard of care in the provision of treatment - is very well understood, but not in cases where the treatment can be described as innovative. The general rhetoric in both the UK and Australia around the Medical Innovation Bill demonstrates a lack of understanding of the position of the law with regards to innovative treatment. What does this paper add? This paper adds clarity to the debate. It presents the law and explains the manner in which the law can operate around innovative treatment. The paper asserts that medical innovation is both supported and encouraged by existing legal principles. What are the implications for practitioners? The paper presents an argument that can guide the policy position

Research on the Mode of Technology Innovation Alliance of the New Material Industry in Hunan Province

Science.gov (United States)

Wang, Fan

2018-03-01

One of the main directions of technology development in the 21st century is the development and application of new materials, and the key to the development of the new material industry lies in the industrial technology innovation. The gross scale of the new material industry in Hunan Province ranks the first array in China. Based on the present situation of Hunan’s new material industry, three modes of technology innovation alliance are put forward in this paper, namely the government-driven mode, the research-driven and the market-oriented mode. The government-driven mode is applicable to the major technology innovation fields with uncertain market prospect, high risk of innovation and government’s direct or indirect intervention;the research-driven mode is applicable to the key technology innovation fields with a high technology content; and the market-oriented mode is applicable to the general innovation fields in which enterprises have demands for technology innovation but such innovation must be achieved via cooperative research and development.

Evolution and early evidence of the impact of consumer-driven health plans: from e-commerce venture to health savings accounts.

Science.gov (United States)

Parente, Stephen T; Feldman, Roger

2008-08-01

Using results from peer-reviewed empirical analyses we describe the development and impact of the consumer-driven health plan market over the last 5 years. The results of these analyses show that consumers are responding to the financial incentives of these new health insurance benefits. Although the results may not always be what the consumer-driven health plan developers intended, there is clear evidence of 'consumerism', where individuals act in a way that generally increases their access to healthcare or investments, if the opportunity is present. Just as Medicare Part D enrollment demonstrated consumers could identify differences in prescription drug plans and make rational choices, so too are prospective patients able to function as consumers in the medical marketplace when give the opportunity.

A Planning Framework for the Deployment of Innovative Information and Communication Technologies in Procurement

Science.gov (United States)

Alard, Robert; Gustafsson, Martin; Nienhaus, Jörg

The management of buyer-supplier relations is a major topic for many enterprises today. Modern Information and Communication Technologies (ICT) offer interesting perspectives on opportunities and implementation approaches. Today, logistics and procurement departments of numerous enterprises are evaluating the possibilities and opportunities of new ICT solutions and especially of internet-based electronic procurement solutions for the optimisation and re-engineering of their buyer-supplier relationships. Due to the highly innovative character of the new ICT solutions and the scarcely available operational examples in the industry, only little guidance exists to support responsible managers during the evaluation, planning and designing of internet-based electronic procurement solutions. This paper describes a framework for the strategic evaluation and planning of the deployment of internet-based procurement solutions for direct materials. The presented approach supports enterprises in the analysis of procurement objects and procurement structuring, in the definition and management of buyer-supplier-relationships, in the requirements analysis of ICT solutions as well as the assessment of the potential to support procurement with innovative ICT and internet-based electronic procurement solutions.

Managing Innovation Paradox in the Sustainable Innovation Ecosystem: A Case Study of Ambidextrous Capability in a Focal Firm

Directory of Open Access Journals (Sweden)

Delin Zeng

2017-11-01

Full Text Available To achieve sustainable development, focal firms should balance two paradoxical kinds of innovation activities: exploitative and exploratory ones. Published works found that ambidexterity is an effective way to resolve paradoxical tensions, but few in-depth studies have been conducted to explore the innovation paradox of focal firms in the innovation ecosystem from an ambidextrous capability perspective. This paper takes China Spacesat Co., Ltd. as the case to study focal firms’ management of innovation paradoxes in the sustainable innovation ecosystem and finds that: (1 Sustainable innovation is an ecosystem in which focal firms’ internal functional departments, including the product department, technical center, and Makers’ groups, cooperate with external organizations, including component suppliers, scientific research institutes, and government departments, closely and complementarily; (2 In the exploitative and exploratory innovations of complex products, focal firms in the sustainable innovation ecosystem mainly confront three paradoxes: profit drive vs. breakthroughs in the strategic intent of sustainable innovation of the profit-driven model, tight vs. loose coupling of sustainable innovation, and sustainable innovation driven by discipline vs. that by passion; (3 Focal firms in the innovation ecosystem resolve these three innovation paradoxes with structural, contextual, and coordinated ambidextrous capabilities, and build innovation paradox management mechanisms with three steps in sequence, namely by establishing dual sustainable strategic innovation units, strengthening sustainable organizational ties between the internal and external, while co-creating and sharing innovation values, and, finally, promoting the formation and development of their sustainable innovation ecosystem. This paper complements and enriches the innovation ecosystem and ambidextrous capability theory, providing significant practical guidance to the

Service-sector Competition, Innovation and R&D

DEFF Research Database (Denmark)

Tingvall, Patrick Gustavsson; Karpaty, Patrik

2011-01-01

The central prediction of the Aghion, Bloom, Blundell and Howitt model is an inverted U-shaped relationship between innovation and competition. The model is built on the assumption of a product market and has not yet been tested on the service sector. Using detailed firm-level data on Swedish...... service-sector firms, we find evidence of an inverse U-shaped relationship for exporting service-sector firms. A further breakdown of innovation expenditures shows that the inverse U-shaped pattern holds for intramural R&D and training, but not for extramural R&D. Finally, the results indicate...... that as competition increases, small firms tend to seek strategic alliances with competitors, whereas large firms tend to reduce collaboration with competitors. The behavior of large firms can partly be due to their superior capacity to handle innovation projects internally, which will become more important...

Development of a residency program in radiation oncology physics: an inverse planning approach.

Science.gov (United States)

Khan, Rao F H; Dunscombe, Peter B

2016-03-08

Over the last two decades, there has been a concerted effort in North America to organize medical physicists' clinical training programs along more structured and formal lines. This effort has been prompted by the Commission on Accreditation of Medical Physics Education Programs (CAMPEP) which has now accredited about 90 residency programs. Initially the accreditation focused on standardized and higher quality clinical physics training; the development of rounded professionals who can function at a high level in a multidisciplinary environment was recognized as a priority of a radiation oncology physics residency only lately. In this report, we identify and discuss the implementation of, and the essential components of, a radiation oncology physics residency designed to produce knowledgeable and effective clinical physicists for today's safety-conscious and collaborative work environment. Our approach is that of inverse planning, by now familiar to all radiation oncology physicists, in which objectives and constraints are identified prior to the design of the program. Our inverse planning objectives not only include those associated with traditional residencies (i.e., clinical physics knowledge and critical clinical skills), but also encompass those other attributes essential for success in a modern radiation therapy clinic. These attributes include formal training in management skills and leadership, teaching and communication skills, and knowledge of error management techniques and patient safety. The constraints in our optimization exercise are associated with the limited duration of a residency and the training resources available. Without compromising the knowledge and skills needed for clinical tasks, we have successfully applied the model to the University of Calgary's two-year residency program. The program requires 3840 hours of overall commitment from the trainee, of which 7%-10% is spent in obtaining formal training in nontechnical "soft skills".

Inverse Planned High-Dose-Rate Brachytherapy for Locoregionally Advanced Cervical Cancer: 4-Year Outcomes

Energy Technology Data Exchange (ETDEWEB)

Tinkle, Christopher L.; Weinberg, Vivian [Department of Radiation Oncology, University of California, San Francisco, California (United States); Chen, Lee-May [Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California (United States); Littell, Ramey [Gynecologic Oncology, The Permanente Medical Group, San Francisco, California (United States); Cunha, J. Adam M.; Sethi, Rajni A. [Department of Radiation Oncology, University of California, San Francisco, California (United States); Chan, John K. [Gynecologic Oncology, California Pacific Medical Center, San Francisco, California (United States); Hsu, I-Chow, E-mail: ichow.hsu@ucsf.edu [Department of Radiation Oncology, University of California, San Francisco, California (United States)

2015-08-01

Purpose: Evaluate the efficacy and toxicity of image guided brachytherapy using inverse planning simulated annealing (IPSA) high-dose-rate brachytherapy (HDRB) boost for locoregionally advanced cervical cancer. Methods and Materials: From December 2003 through September 2009, 111 patients with primary cervical cancer were treated definitively with IPSA-planned HDRB boost (28 Gy in 4 fractions) after external radiation at our institution. We performed a retrospective review of our experience using image guided brachytherapy. Of the patients, 70% had a tumor size >4 cm, 38% had regional nodal disease, and 15% had clinically evident distant metastasis, including nonregional nodal disease, at the time of diagnosis. Surgical staging involving pelvic lymph node dissection was performed in 15% of patients, and 93% received concurrent cisplatin-based chemotherapy. Toxicities are reported according to the Common Terminology Criteria for Adverse Events version 4.0 guidelines. Results: With a median follow-up time of 42 months (range, 3-84 months), no acute or late toxicities of grade 4 or higher were observed, and grade 3 toxicities (both acute and late) developed in 8 patients (1 constitutional, 1 hematologic, 2 genitourinary, 4 gastrointestinal). The 4-year Kaplan-Meier estimate of late grade 3 toxicity was 8%. Local recurrence developed in 5 patients (4 to 9 months after HDRB), regional recurrence in 3 (6, 16, and 72 months after HDRB), and locoregional recurrence in 1 (4 months after HDR boost). The 4-year estimates of local, locoregional, and distant control of disease were 94.0%, 91.9%, and 69.1%, respectively. The overall and disease-free survival rates at 4 years were 64.3% (95% confidence interval [CI] of 54%-73%) and 61.0% (95% CI, 51%-70%), respectively. Conclusions: Definitive radiation by use of inverse planned HDRB boost for locoregionally advanced cervical cancer is well tolerated and achieves excellent local control of disease. However, overall

A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle

Directory of Open Access Journals (Sweden)

Duo Zhang

2014-07-01

Full Text Available Vehicle active safety control is attracting ever increasing attention in the attempt to improve the stability and the maneuverability of electric vehicles. In this paper, a neural network combined inverse (NNCI controller is proposed, incorporating the merits of left-inversion and right-inversion. As the left-inversion soft-sensor can estimate the sideslip angle, while the right-inversion is utilized to decouple control. Then, the proposed NNCI controller not only linearizes and decouples the original nonlinear system, but also directly obtains immeasurable state feedback in constructing the right-inversion. Hence, the proposed controller is very practical in engineering applications. The proposed system is co-simulated based on the vehicle simulation package CarSim in connection with Matlab/Simulink. The results verify the effectiveness of the proposed control strategy.

The adoption of sustainable innovations : Driven by symbolic and environmental motives

NARCIS (Netherlands)

Noppers, Ernst H.; Keizer, Kees; Bolderdijk, Jan Willem; Steg, Linda

Critical to the environmental success of sustainable innovations is the adoption by consumers. The consensus is that instrumental shortcomings of sustainable innovations inhibit their adoption. However, we argue that the adoption of sustainable innovations does not exclusively depend on their

IPIP: A new approach to inverse planning for HDR brachytherapy by directly optimizing dosimetric indices

International Nuclear Information System (INIS)

Siauw, Timmy; Cunha, Adam; Atamtuerk, Alper; Hsu, I-Chow; Pouliot, Jean; Goldberg, Ken

2011-01-01

Purpose: Many planning methods for high dose rate (HDR) brachytherapy require an iterative approach. A set of computational parameters are hypothesized that will give a dose plan that meets dosimetric criteria. A dose plan is computed using these parameters, and if any dosimetric criteria are not met, the process is iterated until a suitable dose plan is found. In this way, the dose distribution is controlled by abstract parameters. The purpose of this study is to develop a new approach for HDR brachytherapy by directly optimizing the dose distribution based on dosimetric criteria. Methods: The authors developed inverse planning by integer program (IPIP), an optimization model for computing HDR brachytherapy dose plans and a fast heuristic for it. They used their heuristic to compute dose plans for 20 anonymized prostate cancer image data sets from patients previously treated at their clinic database. Dosimetry was evaluated and compared to dosimetric criteria. Results: Dose plans computed from IPIP satisfied all given dosimetric criteria for the target and healthy tissue after a single iteration. The average target coverage was 95%. The average computation time for IPIP was 30.1 s on an Intel(R) Core TM 2 Duo CPU 1.67 GHz processor with 3 Gib RAM. Conclusions: IPIP is an HDR brachytherapy planning system that directly incorporates dosimetric criteria. The authors have demonstrated that IPIP has clinically acceptable performance for the prostate cases and dosimetric criteria used in this study, in both dosimetry and runtime. Further study is required to determine if IPIP performs well for a more general group of patients and dosimetric criteria, including other cancer sites such as GYN.

Comparison of step and shoot IMRT treatment plans generated by three inverse treatment planning systems; Comparacion de tratamientos de IMRT estatica generados por tres sistemas de planificacion inversa

Energy Technology Data Exchange (ETDEWEB)

Perez Moreno, J. M.; Zucca Aparicio, D.; Fernandez leton, P.; Garcia Ruiz-Zorrilla, J.; Minambres Moro, A.

2011-07-01

One of the most important issues of intensity modulated radiation therapy (IMRT) treatments using the step-and-shoot technique is the number of segments and monitor units (MU) for treatment delivery. These parameters depend heavily on the inverse optimization module of the treatment planning system (TPS) used. Three commercial treatment planning systems: CMS XiO, iPlan and Prowess Panther have been evaluated. With each of them we have generated a treatment plan for the same group of patients, corresponding to clinical cases. Dosimetric results, MU calculated and number of segments were compared. Prowess treatment planning system generates plans with a number of segments significantly lower than other systems, while MU are less than a half. It implies important reductions in leakage radiation and delivery time. Degradation in the final dose calculation of dose is very small, because it directly optimizes positions of multileaf collimator (MLC). (Author) 13 refs.

Demonstrating the process of community innovation: the Indian Country Methamphetamine Initiative.

Science.gov (United States)

Walker, R Dale; Bigelow, Douglas A; LePak, Jessica Hope; Singer, Michelle J

2011-01-01

In 2007 the federal Department of Health and Human Services, Office for Minority Health, collaborating with other federal agencies, sponsored the Indian Country Methamphetamine Initiative (ICMI). ICMI was undertaken to create community-driven, culture-based best practices in methamphetamine prevention and treatment which could then be disseminated throughout Indian Country. The ICMI ultimately involved ten tribes and five national organizations. Each tribe established a coalition of community government, nongovernment agencies, and elements of civic society to develop a comprehensive assessment, plan, and then to implement the plan. Each tribal coalition planned a complex array of activities including treatment programs, public education and mobilization, law enforcement strategies, and other intervention strategies, each intervention described within a logic model. These interventions focused on logic modeling; coalitions; capacity development and service system optimization; law enforcement and justice; individual and family treatment; public information, awareness, and education; community mobilization; and a very popular ICMI strategy, cultural renaissance. It was concluded that worthwhile activities were conducted under ICMI sponsorship, but that the specific aim of demonstrating community-driven, culture-based innovations in a manner suitable for dissemination was achieved only to a limited extent. Based on this outcome together with similar experiences, recommendations for future initiatives are suggested.

Planning for the next generation : ten principles for climate protection and innovation

International Nuclear Information System (INIS)

Boston, A.

2004-05-01

This paper proposed 10 principles upon which Canada can base its action plan to achieve the Kyoto target. The following 10 principles were discussed in detail: (1) take advantage of smart regulation, (2) establish a central implementation agency, (3) design a transparent, fair and effective system for large emitters, (4) renew the principle of equitable burden sharing, (5) contain Canada's major drivers of climate change, (6) develop an innovative sustainable energy agenda, (7) implement Kyoto with a long-term vision, (8) start planning from an energy end-use perspective, (9) consult fairly, with focus and timeliness, and (10) take leadership. The key criteria for Kyoto implementation were listed as: efficacy, cost, co-benefits, broader sustainability, industrial vision, precedent, leverage, synergy, public engagement, just transition, and prevention of climate change. 34 refs., 1 tab., 4 figs

Designing an idea screening framework for employee-driven innovation

OpenAIRE

Ciriello, Raffaele Fabio; Richter, Alexander; Schwabe, Gerhard

2016-01-01

As ever more companies encourage their employees to realize innovations, a surplus of ideas that exceeds the available resources to implement them has become reality in many organizations. With this paper, we follow recent calls for designing IT-supported, comprehensive, multi-attributive idea screening throughout the whole innovation cycle. Our Idea Screening Framework is grounded in literature and empirical data we collected from a two-year field study in a multinational European banking so...

Forward-Looking Search Within Innovation Projects

DEFF Research Database (Denmark)

Jissink, Tymen; Rohrbeck, René; Schweitzer, Fiona

To develop highly-innovative projects, which are fraught with uncertainty and longer development times, one cannot solely rely on initial planning and budgeting to ensure the project’s outcome remains novel. This study posits that to develop innovative projects, project teams need to engage...... in forward-looking search during development to ensure the project’s outcome remains novel and relevant. We refer to forward-looking search as the search and evaluation of information on markets, customers, and technologies in terms of their future impact. Data on 159 unique innovation projects from...... the Danish manufacturing industry shows that forward-looking search significantly impacts innovativeness. The effect follows an inverted-U shape where the greatest positive effect on innovativeness occurs in moderately planned projects and significantly lower effects in low- and highly planned projects...

The Quest for Engineering Innovation at NASA's Marshall Space Flight (MSFC)

Science.gov (United States)

Turner, James E.

2017-01-01

A recent NASA team, chartered to examine innovation within the Agency, captured the meaning of the word innovation as the "application of creative ideas to improve and generate value for the organization". The former NASA Administrator Charles Bolden shared his own thoughts about innovation in a memo with all employees that stated, "At NASA, we are dedicated to innovation, bold ideas, and excellence." Innovation turns out to be one of the major driving forces behind the work produced at NASA. It seems failure is often what has driven NASA to be more innovative. Fifty years ago, the Apollo 1 tragedy killed three astronauts when fire erupted in their command module. NASA had to bear the responsibility of such loss and at the same time work smarter in order to obtain the dream to reach the moon by the end of the 1960s. Through this circumstance, NASA engineers developed a revolutionary replacement for the combustible nylon astronaut suits so the Apollo program could continue. A material called Beta Cloth was born. This material was used to produce noncombustible space suits for all Apollo astronauts, enabling the United States to ultimately land 12 Americans on the moon. Eventually this material was used as the roof system in the Denver International Airport, showing relevance and applications of NASA innovations to real-world need. Innovative ideas are also driven by the need to accomplish NASA missions and to improve the way we produce our products. MSFC engineers are advancing technologies in additive manufacturing of liquid rocket engines in order to reduce the number of parts, design time, and the cost of the engines. NASA is working with academia to eliminate the need for miles of sensor cables by investigating innovations in wireless sensors. In order to enable future exploration missions to Mars, MSFC engineers are pursuing innovative approaches in diverse areas such as the use of ionic liquids for life support systems and composite cryogenic tanks, very low

Innovative strategies to help Consumer Operated and Oriented Plans (CO-OPs) compete in new insurance marketplaces.

Science.gov (United States)

Gardiner, Terry; Neece, Roger; Mendelevitz, Michael

2012-04-01

The Affordable Care Act paves the way for groups to develop innovative, affordable health insurance and care options known as Consumer Operated and Oriented Plans (CO-OPs). These CO-OPs will be nonprofit, consumer-controlled entities that are designed to serve individuals and small businesses, especially in noncompetitive markets. The CO-OP provision was included in the Affordable Care Act to address the lack of affordable health plan alternatives in many state and regional markets and to counter a trend toward market concentration. Despite their promise, CO-OPs face a number of business challenges that go beyond typical start-up hurdles. This issue brief lays out a number of innovative strategies CO-OP organizers are developing to increase the odds of long-term sustainability and economic success. These strategies--aimed at building market share, creating integrated provider networks, and achieving cost savings through payment reform--could establish CO-OPs as a viable new entrant in the health care field.

Conceptual formulation on four-dimensional inverse planning for intensity modulated radiation therapy

International Nuclear Information System (INIS)

Lee, Louis; Ma Yunzhi; Xing Lei; Ye Yinyu

2009-01-01

Four-dimensional computed tomography (4DCT) offers an extra dimension of 'time' on the three-dimensional patient model with which we can incorporate target motion in radiation treatment (RT) planning and delivery in various ways such as in the concept of internal target volume, in gated treatment or in target tracking. However, for all these methodologies, different phases are essentially considered as non-interconnected independent phases for the purpose of optimization, in other words, the 'time' dimension has yet to be incorporated explicitly in the optimization algorithm and fully exploited. In this note, we have formulated a new 4D inverse planning technique that treats all the phases in the 4DCT as one single entity in the optimization. The optimization is formulated as a quadratic problem for disciplined convex programming that enables the problem to be analyzed and solved efficiently. In the proof-of-principle examples illustrated, we show that the temporal information of the spatial relation of the target and organs at risk could be 'exchanged' amongst different phases so that an appropriate weighting of dose deposition could be allocated to each phase, thus enabling a treatment with a tight target margin and a full duty cycle otherwise not achievable by either of the aforementioned methodologies. Yet there are practical issues to be solved in the 4D RT planning and delivery. The 4D concept in the optimization we have formulated here does provide insight on how the 'time' dimension can be exploited in the 4D optimization process. (note)

Priority actions of the different Regional Prevention Plans: common features and innovations

Directory of Open Access Journals (Sweden)

Francesca Russo

2013-06-01

Full Text Available The National Prevention Plan (NPP 2010-2012, approved by the Agreement between the Government, the Regions and Autonomous Provinces of Trento and Bolzano on 29 April 2010, called for Regions to adopt, by 31/12/2010, the Regional Prevention Plan (RPP for implementing the interventions provided by the NPP 2010-2012.This article has considered and compared the different RPP’s. In an attempt to provide an outlook on the future medical prevention plans over the next few years in Italy, a comparison has been made between the RPP from 19 Regions and the Autonomous Province of Trento. This work has been focused on the actions identified in regional plans as a priority concerning the major common and innovative elements.The analysis of each RPP revealed a common plan to chronic degenerative diseases, because of the aging of the population in every Region of Italy. Other important common targets are: surveillance systems, vaccination programs and screening programs. Toscana and Liguria, more than other Regions, are engaged in the creation of networks involving various social actors. In some Regions there are projects aimed at eliminating social, economic or gender inequities, such as the project “women’s health” in the Region of Puglia. Toscana and Emilia-Romagna Plans pay attention to environment and pollution issues.Despite social, environmental and economic differences, the various Regions have common principles, concerning: life style, surveillance, vaccination and the screening for cancer.

INNOVATION IN THE CREATIVE INDUSTRIES – CASE STUDY OF AN EVENT PLANNING COMPANY

Directory of Open Access Journals (Sweden)

Filculescu Adina

2013-07-01

policies refer to national or local governmental mechanisms that seek to guide and fund innovation. These categories represent (factors that bring important contributions to the innovation process, while at the same time representing sources of major business risks for the event management company. The article follows the way in which these four items interact during the innovation process which was split into four stages: idea generation, negotiation of the idea, preparations for implementation and implementation of the idea. We conclude with the observation that innovation in event planning is human centered, the main referential system being based on the dyad company-client, a thing which has not been explicitly researched until now. Also we suggest that before trying to understand the way in which companies innovate, it is critical to undergo a thorough assessment of the entrepreneurs’ perception of business risks.

Innovation in patient-centered care: lessons from a qualitative study of innovative health care organizations in Washington State

Directory of Open Access Journals (Sweden)

Reed Peter

2012-12-01

Full Text Available Abstract Background Growing interest in the promise of patient-centered care has led to numerous health care innovations, including the patient-centered medical home, shared decision-making, and payment reforms. How best to vet and adopt innovations is an open question. Washington State has been a leader in health care reform and is a rich laboratory for patient-centered innovations. We sought to understand the process of patient-centered care innovation undertaken by innovative health care organizations – from strategic planning to goal selection to implementation to maintenance. Methods We conducted key-informant interviews with executives at five health plans, five provider organizations, and ten primary care clinics in Washington State. At least two readers of each interview transcript identified themes inductively; final themes were determined by consensus. Results Innovation in patient-centered care was a strategic objective chosen by nearly every organization in this study. However, other goals were paramount: cost containment, quality improvement, and organization survival. Organizations commonly perceived effective chronic disease management and integrated health information technology as key elements for successful patient-centered care innovation. Inertia, resource deficits, fee-for-service payment, and regulatory limits on scope of practice were cited as barriers to innovation, while organization leadership, human capital, and adaptive culture facilitated innovation. Conclusions Patient-centered care innovations reflected organizational perspectives: health plans emphasized cost-effectiveness while providers emphasized health care delivery processes. Health plans and providers shared many objectives, yet the two rarely collaborated to achieve them. The process of innovation is heavily dependent on organizational culture and leadership. Policymakers can improve the pace and quality of patient-centered innovation by setting targets

The dose-volume constraint satisfaction problem for inverse treatment planning with field segments

International Nuclear Information System (INIS)

Michalski, Darek; Xiao, Ying; Censor, Yair; Galvin, James M

2004-01-01

The prescribed goals of radiation treatment planning are often expressed in terms of dose-volume constraints. We present a novel formulation of a dose-volume constraint satisfaction search for the discretized radiation therapy model. This approach does not rely on any explicit cost function. Inverse treatment planning uses the aperture-based approach with predefined, according to geometric rules, segmental fields. The solver utilizes the simultaneous version of the cyclic subgradient projection algorithm. This is a deterministic iterative method designed for solving the convex feasibility problems. A prescription is expressed with the set of inequalities imposed on the dose at the voxel resolution. Additional constraint functions control the compliance with selected points of the expected cumulative dose-volume histograms. The performance of this method is tested on prostate and head-and-neck cases. The relationships with other models and algorithms of similar conceptual origin are discussed. The demonstrated advantages of the method are: the equivalence of the algorithmic and prescription parameters, the intuitive setup of free parameters, and the improved speed of the method as compared to similar iterative as well as other techniques. The technique reported here will deliver approximate solutions for inconsistent prescriptions

The Conceptual Framework for Business Process Innovation

DEFF Research Database (Denmark)

Møller, Charles

This paper proposes a research program on Business Process Innovation: Towards Global Supply Chain Intelligence. Few words are more ubiquitous in business or society today than "innovation". This reflects that businesses are striving for ways to survive and thrive in an increasingly complex...... and connected world (IBM 2006). Most industrial supply chains today are globally scattered and nearly all organizations rely on their Enterprise Information Systems (ES) for integration and coordination of their activities. In this context innovation inevitably is driven by advanced information technology....... Organizations today are required not only to operate effective business processes but they also need to accommodate to changing business conditions at an increasing rate. Consequently the ability to develop and implement new processes driven by the Enterprise Information Systems is a central competence in most...

Towards a sufficiency-driven business model : Experiences and opportunities

NARCIS (Netherlands)

Bocken, N.M.P.; Short, SW

2016-01-01

Business model innovation is an important lever for change to tackle pressing sustainability issues. In this paper, ‘sufficiency’ is proposed as a driver of business model innovation for sustainability. Sufficiency-driven business models seek to moderate overall resource consumption by curbing

Family Assets and Liabilities in the Innovation Process

DEFF Research Database (Denmark)

Bennedsen, Morten; Foss, Nicolai Juul

2015-01-01

Innovation in family firms is often driven by family assets, valuable resources that are particularly prevalent in family firms. For example, they have particularly strong networks that can be deployed in an innovation context. These family assets can over time atrophy and stifle rather than...... stimulate innovation performance. However, family firms can fight this process by institutionalizing innovation within the family and the firm by means of family and corporate governance and through incentivizing key individuals in the innovation process....

Social Impact Management Plans: Innovation in corporate and public policy

Energy Technology Data Exchange (ETDEWEB)

Franks, Daniel M., E-mail: d.franks@uq.edu.au [Centre for Social Responsibility in Mining, The University of Queensland, Sustainable Minerals Institute, St Lucia, Brisbane, Queensland 4072 (Australia); Vanclay, Frank, E-mail: frank.vanclay@rug.nl [Department of Cultural Geography, Faculty of Spatial Sciences, The University of Groningen, P.O. Box 800, 9700 AV Groningen (Netherlands)

2013-11-15

Social Impact Assessment (SIA) has traditionally been practiced as a predictive study for the regulatory approval of major projects, however, in recent years the drivers and domain of focus for SIA have shifted. This paper details the emergence of Social Impact Management Plans (SIMPs) and undertakes an analysis of innovations in corporate and public policy that have put in place ongoing processes – assessment, management and monitoring – to better identify the nature and scope of the social impacts that might occur during implementation and to proactively respond to change across the lifecycle of developments. Four leading practice examples are analyzed. The International Finance Corporation (IFC) Performance Standards require the preparation of Environmental and Social Management Plans for all projects financed by the IFC identified as having significant environmental and social risks. Anglo American, a major resources company, has introduced a Socio-Economic Assessment Toolbox, which requires mine sites to undertake regular assessments and link these assessments with their internal management systems, monitoring activities and a Social Management Plan. In South Africa, Social and Labour Plans are submitted with an application for a mining or production right. In Queensland, Australia, Social Impact Management Plans were developed as part of an Environmental Impact Statement, which included assessment of social impacts. Collectively these initiatives, and others, are a practical realization of theoretical conceptions of SIA that include management and monitoring as core components of SIA. The paper concludes with an analysis of the implications for the practice of impact assessment including a summary of key criteria for the design and implementation of effective SIMPs. -- Highlights: • Social impact management plans are effective strategies to manage social issues. • They are developed in partnership with regulatory agencies, investors and community. �

Social Impact Management Plans: Innovation in corporate and public policy

International Nuclear Information System (INIS)

Franks, Daniel M.; Vanclay, Frank

2013-01-01

Social Impact Assessment (SIA) has traditionally been practiced as a predictive study for the regulatory approval of major projects, however, in recent years the drivers and domain of focus for SIA have shifted. This paper details the emergence of Social Impact Management Plans (SIMPs) and undertakes an analysis of innovations in corporate and public policy that have put in place ongoing processes – assessment, management and monitoring – to better identify the nature and scope of the social impacts that might occur during implementation and to proactively respond to change across the lifecycle of developments. Four leading practice examples are analyzed. The International Finance Corporation (IFC) Performance Standards require the preparation of Environmental and Social Management Plans for all projects financed by the IFC identified as having significant environmental and social risks. Anglo American, a major resources company, has introduced a Socio-Economic Assessment Toolbox, which requires mine sites to undertake regular assessments and link these assessments with their internal management systems, monitoring activities and a Social Management Plan. In South Africa, Social and Labour Plans are submitted with an application for a mining or production right. In Queensland, Australia, Social Impact Management Plans were developed as part of an Environmental Impact Statement, which included assessment of social impacts. Collectively these initiatives, and others, are a practical realization of theoretical conceptions of SIA that include management and monitoring as core components of SIA. The paper concludes with an analysis of the implications for the practice of impact assessment including a summary of key criteria for the design and implementation of effective SIMPs. -- Highlights: • Social impact management plans are effective strategies to manage social issues. • They are developed in partnership with regulatory agencies, investors and community. �

Optimized nonlinear inversion of surface-wave dispersion data

International Nuclear Information System (INIS)

Raykova, Reneta B.

2014-01-01

A new code for inversion of surface wave dispersion data is developed to obtain Earth’s crustal and upper mantle velocity structure. The author developed Optimized Non–Linear Inversion ( ONLI ) software, based on Monte-Carlo search. The values of S–wave velocity VS and thickness h for a number of horizontal homogeneous layers are parameterized. Velocity of P–wave VP and density ρ of relevant layers are calculated by empirical or theoretical relations. ONLI explores parameters space in two modes, selective and full search, and the main innovation of software is evaluation of tested models. Theoretical dispersion curves are calculated if tested model satisfied specific conditions only, reducing considerably the computation time. A number of tests explored impact of parameterization and proved the ability of ONLI approach to deal successfully with non–uniqueness of inversion problem. Key words: Earth’s structure, surface–wave dispersion, non–linear inversion, software

RFDR with Adiabatic Inversion Pulses: Application to Internuclear Distance Measurements

International Nuclear Information System (INIS)

Leppert, Joerg; Ohlenschlaeger, Oliver; Goerlach, Matthias; Ramachandran, Ramadurai

2004-01-01

In the context of the structural characterisation of biomolecular systems via MAS solid state NMR, the potential utility of homonuclear dipolar recoupling with adiabatic inversion pulses has been assessed via numerical simulations and experimental measurements. The results obtained suggest that it is possible to obtain reliable estimates of internuclear distances via an analysis of the initial cross-peak intensity buildup curves generated from two-dimensional adiabatic inversion pulse driven longitudinal magnetisation exchange experiments

Inverse Operation of Four-dimensional Vector Matrix

OpenAIRE

H J Bao; A J Sang; H X Chen

2011-01-01

This is a new series of study to define and prove multidimensional vector matrix mathematics, which includes four-dimensional vector matrix determinant, four-dimensional vector matrix inverse and related properties. There are innovative concepts of multi-dimensional vector matrix mathematics created by authors with numerous applications in engineering, math, video conferencing, 3D TV, and other fields.

Growing South Africa’s wealth through digital innovations: Digital innovation as a disruptor

CSIR Research Space (South Africa)

Williams, Quentin R

2017-10-01

Full Text Available This presentation briefly discusses problems/trends such as unemployment, lack of advanced skills, import-driven economy, and the nature of the South African ICT sector. Digital innovation is put forward as a disruptor of mentioned trends....

Demand driven innovation policies in the European Union

DEFF Research Database (Denmark)

Jensen, Camilla; Goldberg, Itzhak

The objective of the PICK-ME (Policy Incentives for Creation of Knowledge – Methods and Evidence) research project is to provide theoretical and empirical perspectives on innovation which give a greater role to the demand-side aspect of innovation. The main question is how can policy make...... on the skills side must be targeted through education policies that fosters centers of excellence. R&D incentives are also considered as a separate instrument but more a question for future research since there is no evidence available on R&D incentives as a Gazelle type of policy. Spatial policies to foster...... throughout the paper. The main concern of policy-makers should therefore be how to support Gazelle type of firms through various policies. The effectiveness of different policy instruments are considered. For example, venture capitalism is in the paper identified as an important modern institution...

Innovation in the fuel cycle industry

International Nuclear Information System (INIS)

Lamorlette, Guy

1998-01-01

The fuel cycle industry will have to adapt to the production of new fuel and in the same time will have to improve its performance. Innovation will be a key factor of success. Innovation must be driven by the needs of the fuel cycle industry to achieve. The fuel cycle requirement of tomorrow, Innovative processes for mining high grade uranium, Innovative enrichment process, Sorting the pellets at Melox plant, Innovation in action, and Innovative waste management in la Hague are presented. A number of innovative solutions are already implemented and are in action on industrial facilities. As problems are becoming more and more tough to address, international cooperation will be required. The fuel cycle industry, as a part of the nuclear power industry, is committed to seek improvements through performance upgrade and innovation. (Cho. G. S.). 10 refs., 4 figs

EU Research and Innovation (R and I) in renewable energies: The role of the Strategic Energy Technology Plan (SET-Plan)

Energy Technology Data Exchange (ETDEWEB)

Hervas Soriano, Fernando [Joint Research Centre, Institute for Prospective Technological Studies, Edificio EXPO, c/ Inca Garcilaso 3, E-41092 Seville (Spain); Mulatero, Fulvio, E-mail: fulvio.mulatero@ec.europa.eu [Joint Research Centre, Institute for Prospective Technological Studies, Edificio EXPO, c/ Inca Garcilaso 3, E-41092 Seville (Spain)

2011-06-15

The SET-Plan established a strategy to use Research and Innovation (R and I) to green the EU energy sector while ensuring a secure supply and increasing EU competitiveness. The strategy sets clear objectives and programming plans and takes stock of existing initiatives in the energy sector, fosters a cooperative approach to R and I, introduces a high-level steering group (the SET-Plan Steering Group) to monitor progress, creates a dedicated information system (the SETIS) to fill the void in policy information and produces estimates of financial needs over the programming period. In this respect, the SET-Plan could serve as a blueprint for R and I strategies to tackle other societal challenges. To be effective, such strategies should further clarify the hierarchy of existing objectives and instruments, introduce specific instruments to pull the demand of new technologies, strengthen links with education and training policies and formalize links with the governance structures of existing initiatives. - Highlights: > This paper assesses the impact of the SET-Plan on EU renewable energy policy. > We analyze the degree of complementarity and duplication with existing initiatives. > We discuss the role of a new system of indicators (SETIS). > The analysis of financing reveals the existence of sizeable shortfalls. > Lessons for future similar initiatives are sketched.

EU Research and Innovation (R and I) in renewable energies: The role of the Strategic Energy Technology Plan (SET-Plan)

International Nuclear Information System (INIS)

Hervas Soriano, Fernando; Mulatero, Fulvio

2011-01-01

The SET-Plan established a strategy to use Research and Innovation (R and I) to green the EU energy sector while ensuring a secure supply and increasing EU competitiveness. The strategy sets clear objectives and programming plans and takes stock of existing initiatives in the energy sector, fosters a cooperative approach to R and I, introduces a high-level steering group (the SET-Plan Steering Group) to monitor progress, creates a dedicated information system (the SETIS) to fill the void in policy information and produces estimates of financial needs over the programming period. In this respect, the SET-Plan could serve as a blueprint for R and I strategies to tackle other societal challenges. To be effective, such strategies should further clarify the hierarchy of existing objectives and instruments, introduce specific instruments to pull the demand of new technologies, strengthen links with education and training policies and formalize links with the governance structures of existing initiatives. - Highlights: → This paper assesses the impact of the SET-Plan on EU renewable energy policy. → We analyze the degree of complementarity and duplication with existing initiatives. → We discuss the role of a new system of indicators (SETIS). → The analysis of financing reveals the existence of sizeable shortfalls. → Lessons for future similar initiatives are sketched.

Innovation Policy in European Union

Directory of Open Access Journals (Sweden)

Marta-Christina Suciu

2006-11-01

Full Text Available The innovation policies aim to analyze priority factors shaping innovative performance and to reflect the increasing appreciation of the economic and social importance of innovation. This paper is commissioned to examine topics of current interest or concern to innovation policy-makers in Europe. Based on literature and the framework of the European Action Plan for Innovation, this paper investigates different levels and fields of European innovational systems and practices.

Incorporating gender, equity, and human rights into the action planning process: moving from rhetoric to action

Directory of Open Access Journals (Sweden)

Sanjeev Sridharan

2016-09-01

Full Text Available Background: Mainstreaming of gender, equity, and human rights (GER is an important focus of the World Health Organization (WHO and other UN organizations. This paper explores the role of action plans in mainstreaming GER. This paper is informed by a theory-driven evaluation lens. Design: A theory of change framework explored the following seven dimensions of how action plans can implement mainstreaming of GER: awareness of the foundations of GER; understanding of context; planning to impact GER; implementation for GER; monitoring, evaluation, and learning; planning for sustainability; agenda setting and buy-in. The seven dimensions were used to analyze the action plans. Reviewers also explored innovations within each of the action plans for the seven dimensions. Results: GER mainstreaming is more prominent in the foundation, background, and planning components of the plan but becomes less so along the theory of change including implementation; monitoring and evaluation; sustainability; and agenda setting and buy-in. Conclusions: Our analysis demonstrates that much more can be done to incorporate GER considerations into the action planning process. Nine specific recommendations are identified for WHO and other organizations. A theory-driven approach as described in the paper is potentially helpful for developing clarity by which action plans can help with mainstreaming GER considerations.

Sectoral Innovation Watch Retail and Wholesale Trade Sector. Final sector report

NARCIS (Netherlands)

Schaffers, H.; Rubalcaba, L.; Merino, F.; Giesecke, S.; Schaper-Rinkel, P.; Velsing, E.J.; Montalvo, C.

2011-01-01

The retail and wholesale trade sector traditionally is considered as a poor innovator. Innovation is seen as driven mostly by applications of information and communication technology (ICT). This report adopts a more comprehensive definition of innovation than the traditional one, taking into account

Collective innovative practice through user-centred design thinking

DEFF Research Database (Denmark)

Poulsen, Søren Bolvig; Lassen, Astrid Heidemann; Wandahl, Søren

2012-01-01

Establishing a collective innovative practice within a value chain is vital as competition often takes place between supply chains rather than individual companies (Lambert, 2006). This requires new new innovative approaches and an adaptive learning culture (Tyre and von Hippel 1997). User driven...... innovation has added significant aspects to the field of innovation management (e.g. Chesbrough, 2003) and companies can innovate with user collaboration or amplified notion of user together with hybrid collaborative constellations and new ways of working (von Hippel 2005). This paper examines how design...

Usability and user driven innovation - unity or clash?

DEFF Research Database (Denmark)

Fronczek-Munter, Aneta

2011-01-01

Aim: To present different understandings of the concepts ‗usability‘ and ‗user driven innovation‘ and discuss if and how the built environment can benefit from these concepts and the unity of them. Approach and methodology: The paper is based on literature reviews of scientific journals and other...... influential publications within the academic fields of Facilities Management, Architecture and Engineering, Participatory Design and Software design. Outline: The paper will discuss different understandings of the concept ‗usability‘ and its relation to ‗user driven innovation‘, which depends on the academic...... field and area of professional application. The concept of usability has its roots in evaluations of consumer products and user interfaces of computer software. During the last 5-10 years there has been a new development of research in usability of buildings and workplaces. Recently researchers have...

Photonic Design: From Fundamental Solar Cell Physics to Computational Inverse Design

OpenAIRE

Miller, Owen Dennis

2012-01-01

Photonic innovation is becoming ever more important in the modern world. Optical systems are dominating shorter and shorter communications distances, LED's are rapidly emerging for a variety of applications, and solar cells show potential to be a mainstream technology in the energy space. The need for novel, energy-efficient photonic and optoelectronic devices will only increase. This work unites fundamental physics and a novel computational inverse design approach towards such innovation....

Chain Networks as a Leverage for Innovation Capacity: The Case of Food SMEs

Directory of Open Access Journals (Sweden)

Bianka Kühne

2011-02-01

Full Text Available  Nowadays, innovation is no longer limited to the individual firm but involves increasingly the chain network in which the firm is embedded. The chain network is considered as the place where the internal and external resources of a firm are combined and transformed, leading to innovation capacity. In the increasingly globalizing market, innovation is an important strategic tool for small and medium sized enterprises (SMEs to achieve competitive advantage. However, SMEs are often confronted with barriers for developing and introducing innovations, such as the lack of economies of scale. Our paper investigates how the chain network is contributing to the enhancement of the innovation capacity and which chain network characteristics are crucial in this process. In contrast to previous studies at chain network level, in our research specific chain networks are investigated and compared to each other. Hence, data collection took place at different chain network levels, being the supplier, the food manufacturer and the customer, working together and consequently belonging to one specific and unique chain network.The analysis of innovation capacity at the chain network level is realized by means of cluster analysis. This results in a three-cluster solution dividing the sample into Non-innovator chain networks, Customer-driven innovator chain networks and food manufacturer-supplier-driven innovator chain networks. Next, the influence of the chain network on the innovation capacity is examined. Thereby, the three achieved clusters differ significantly related to certain chain network characteristics. The following characteristics form an important leverage for the innovation capacity: firm size, profitability and business growth of the chain network members, as well as higher dependency, and lower levels of integration, rewarding power, social satisfaction and collaboration. The distinction of Customer-driven and food manufacturer-supplier-driven

A New Path-Constrained Rendezvous Planning Approach for Large-Scale Event-Driven Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Ahmadreza Vajdi

2018-05-01

Full Text Available We study the problem of employing a mobile-sink into a large-scale Event-Driven Wireless Sensor Networks (EWSNs for the purpose of data harvesting from sensor-nodes. Generally, this employment improves the main weakness of WSNs that is about energy-consumption in battery-driven sensor-nodes. The main motivation of our work is to address challenges which are related to a network’s topology by adopting a mobile-sink that moves in a predefined trajectory in the environment. Since, in this fashion, it is not possible to gather data from sensor-nodes individually, we adopt the approach of defining some of the sensor-nodes as Rendezvous Points (RPs in the network. We argue that RP-planning in this case is a tradeoff between minimizing the number of RPs while decreasing the number of hops for a sensor-node that needs data transformation to the related RP which leads to minimizing average energy consumption in the network. We address the problem by formulating the challenges and expectations as a Mixed Integer Linear Programming (MILP. Henceforth, by proving the NP-hardness of the problem, we propose three effective and distributed heuristics for RP-planning, identifying sojourn locations, and constructing routing trees. Finally, experimental results prove the effectiveness of our approach.

A New Path-Constrained Rendezvous Planning Approach for Large-Scale Event-Driven Wireless Sensor Networks.

Science.gov (United States)

Vajdi, Ahmadreza; Zhang, Gongxuan; Zhou, Junlong; Wei, Tongquan; Wang, Yongli; Wang, Tianshu

2018-05-04

We study the problem of employing a mobile-sink into a large-scale Event-Driven Wireless Sensor Networks (EWSNs) for the purpose of data harvesting from sensor-nodes. Generally, this employment improves the main weakness of WSNs that is about energy-consumption in battery-driven sensor-nodes. The main motivation of our work is to address challenges which are related to a network’s topology by adopting a mobile-sink that moves in a predefined trajectory in the environment. Since, in this fashion, it is not possible to gather data from sensor-nodes individually, we adopt the approach of defining some of the sensor-nodes as Rendezvous Points (RPs) in the network. We argue that RP-planning in this case is a tradeoff between minimizing the number of RPs while decreasing the number of hops for a sensor-node that needs data transformation to the related RP which leads to minimizing average energy consumption in the network. We address the problem by formulating the challenges and expectations as a Mixed Integer Linear Programming (MILP). Henceforth, by proving the NP-hardness of the problem, we propose three effective and distributed heuristics for RP-planning, identifying sojourn locations, and constructing routing trees. Finally, experimental results prove the effectiveness of our approach.

A New Path-Constrained Rendezvous Planning Approach for Large-Scale Event-Driven Wireless Sensor Networks

Science.gov (United States)

Zhang, Gongxuan; Wang, Yongli; Wang, Tianshu

2018-01-01

We study the problem of employing a mobile-sink into a large-scale Event-Driven Wireless Sensor Networks (EWSNs) for the purpose of data harvesting from sensor-nodes. Generally, this employment improves the main weakness of WSNs that is about energy-consumption in battery-driven sensor-nodes. The main motivation of our work is to address challenges which are related to a network’s topology by adopting a mobile-sink that moves in a predefined trajectory in the environment. Since, in this fashion, it is not possible to gather data from sensor-nodes individually, we adopt the approach of defining some of the sensor-nodes as Rendezvous Points (RPs) in the network. We argue that RP-planning in this case is a tradeoff between minimizing the number of RPs while decreasing the number of hops for a sensor-node that needs data transformation to the related RP which leads to minimizing average energy consumption in the network. We address the problem by formulating the challenges and expectations as a Mixed Integer Linear Programming (MILP). Henceforth, by proving the NP-hardness of the problem, we propose three effective and distributed heuristics for RP-planning, identifying sojourn locations, and constructing routing trees. Finally, experimental results prove the effectiveness of our approach. PMID:29734718

Knowledge-Driven Versus Data-Driven Logics

Czech Academy of Sciences Publication Activity Database

Dubois, D.; Hájek, Petr; Prade, H.

2000-01-01

Roč. 9, č. 1 (2000), s. 65-89 ISSN 0925-8531 R&D Projects: GA AV ČR IAA1030601 Grant - others:CNRS(FR) 4008 Institutional research plan: AV0Z1030915 Keywords : epistemic logic * possibility theory * data-driven reasoning * deontic logic Subject RIV: BA - General Mathematics

Inverse Interval Matrix: A Survey

Czech Academy of Sciences Publication Activity Database

Rohn, Jiří; Farhadsefat, R.

2011-01-01

Roč. 22, - (2011), s. 704-719 E-ISSN 1081-3810 R&D Projects: GA ČR GA201/09/1957; GA ČR GC201/08/J020 Institutional research plan: CEZ:AV0Z10300504 Keywords : interval matrix * inverse interval matrix * NP-hardness * enclosure * unit midpoint * inverse sign stability * nonnegative invertibility * absolute value equation * algorithm Subject RIV: BA - General Mathematics Impact factor: 0.808, year: 2010 http://www.math.technion.ac.il/iic/ ela / ela -articles/articles/vol22_pp704-719.pdf

Scenarios and innovative systems; Scenarii et systemes innovants

Energy Technology Data Exchange (ETDEWEB)

NONE

2001-11-01

The purpose of this workshop is to present to the GEDEON community the scenarios for the deployment of innovative nuclear solutions. Both steady state situations and possible transitions from the present to new reactors and fuel cycles are considered. Innovative systems that satisfy improved natural resource utilization and waste minimization criteria will be described as well as the R and D orientations of various partners. This document brings together the transparencies of 17 communications given at this workshop: general policy for transmutation and partitioning; Amster: a molten salt reactor (MSR) concept; MSR capabilities; potentials and capabilities of accelerator driven systems (ADS); ADS demonstrator interest as an experimental facility; innovative systems: gas coolant technologies; Pu management in EPR; scenarios with thorium fuel; scenarios at the equilibrium state; scenarios for transition; partitioning and specific conditioning; management of separated radio-toxic elements; European programs; DOE/AAA (Advanced Accelerator Applications) program; OECD scenario studies; CEA research programs and orientations; partitioning and transmutation: an industrial point of view. (J.S.)

Wonder-driven Entrepreneurship Teaching

DEFF Research Database (Denmark)

Hansen, Finn Thorbjørn; Herholdt-Lomholdt, Sine Maria

Contemporary research on creativity, innovation and entrepreneurship have now for a decade or more been focusing on social constructive, pragmatic, socio-cultural and socio-material dimensions of creative and innovative processes and entrepreneurship (Bager et al. 2010, Brinkmann & Tangaard 2010......- and entrepreneurship processes. In this paper we want to continue in line with this new framework of meaning- and wonder-driven innovation by focusing on the possible educational consequences of such an approach. Our empirical departure is our three-year phenomenological action research project called ‘Wonder......-based Entrepreneurship Teaching in Professional bachelor Education’. Ten senior lecturers in nursing and pedagogy participated. The purpose was to investigate whether and how Socratic and philosophical dialogues and different forms of phenomenological and existential reflections upon one´s own professional assumptions...

Added value. Collaboration on mitigating climate change in coastal towns by community driven processes

DEFF Research Database (Denmark)

Mechlenborg, Mette; Hansen, Jesper Rohr

2018-01-01

How should the collaborations between private and public landowners be organized and driven in order to make the mitigation of coastal towns and lines more innovative, economic and environmental sustainable?......How should the collaborations between private and public landowners be organized and driven in order to make the mitigation of coastal towns and lines more innovative, economic and environmental sustainable?...

Operationalizing Demand-Driven Agricultural Research: Institutional Influences in a Public and Private System of Research Planning in The Netherlands

NARCIS (Netherlands)

Klerkx, L.W.A.; Leeuwis, C.

2009-01-01

ABSTRACT The trend towards demand-driven agricultural research has focused attention on the inclusion of farmers in research planning. Theoretically, this should enhance ownership and increase the applicability of research. However, in practice, several tensions emerge with regard to the

SU-E-T-182: Feasibility of Dose Painting by Numbers in Proton Therapy with Contour-Driven Plan Optimization

International Nuclear Information System (INIS)

Montero, A Barragan; Differding, S; Lee, J; Sterpin, E

2014-01-01

Purpose: The work aims to 1) prove the feasibility of dose painting by numbers (DPBN) in proton therapy with usual contour-driven plan optimization and 2) compare the achieved plan quality to that of rotational IMRT. Methods: For two patients with head and neck cancers, voxel-by-voxel prescription to the target volume (PTV-PET) was calculated from 18 FDG-PET images and converted to contour-based prescription by defining several sub-contours. Treatments were planned with RayStation (RaySearch Laboratories, Sweden) and proton pencil beam scanning modality. In order to determine the optimal plan parameters to approach the DPBN prescription, the effect of the number of fields, number of sub-contours and use of range shifter were tested separately on each patient. The number of sub-contours were increased from 3 to 11 while the number of fields were set to 3, 5, 7 and 9. Treatment plans were also optimized on two rotational IMRT systems (TomoTherapy and Varian RapidArc) using previously published guidelines. Results: For both patients, more than 99% of the PTV-PET received at least 95% of the prescribed dose while less than 1% of the PTV-PET received more than 105%, which demonstrates the feasibility of the treatment. Neither the use of a range shifter nor the increase of the number of fields had a significant influence on PTV coverage. Plan quality increased when increasing number of fields up to 7 or 9 and slightly decreased for a bigger number of sub-contours. Good OAR sparing is achieved while keeping high plan quality. Finally, proton therapy achieved significantly better plan quality than rotational IMRT. Conclusion: Voxel-by-voxel prescriptions can be approximated accurately in proton therapy using a contour-driven optimization. Target coverage is nearly insensitive to the number of fields and the use of a range shifter. Finally, plan quality assessment confirmed the superiority of proton therapy compared to rotational IMRT

Innovation leadership in software product management

OpenAIRE

Saine, Pasi

2017-01-01

One of the key criteria for a software company competiveness and productivity is to be innovative. Aim of this thesis work was to examine how NSN innovation strategy plans and leadership has been fulfilled by the company so far. Also with intention of observing on means how these are grounded as part of everyday working in research and development. Intention was to claim constructive arguments on how innovative processes and concepts are working in relation to the plans on NSN. I have an ...

Networks as Drivers for Innovation – Experiences from Food Networks in Canada and New Zealand

Directory of Open Access Journals (Sweden)

Karen Hamann

2013-02-01

Full Text Available A common feature among networks is the focus on innovation but the approach to driving innovation and to supporting companies’ innovation work differs widely between networks. Some networks strive to be THE forum of an industry, andthese networks generally focus on promoting innovations that are market‐ready. Networks with a defined objective of promoting research‐driven innovation must have different network organisations from the forum‐oriented networks. Research shows that networks promoting research‐driven innovation also lead to patent applications and should have activities towards commercialisation support. This paper compares four networks from Canada and New Zealand in order to identify examples of how networks with different structures and objectives can support innovation in agri‐food companies. The paper is an empirical contribution to the research area of networks and innovation.

Dose-volume and biological-model based comparison between helical tomotherapy and (inverse-planned) IMAT for prostate tumours

International Nuclear Information System (INIS)

Iori, Mauro; Cattaneo, Giovanni Mauro; Cagni, Elisabetta; Fiorino, Claudio; Borasi, Gianni; Riccardo, Calandrino; Iotti, Cinzia; Fazio, Ferruccio; Nahum, Alan E.

2008-01-01

Background and purpose: Helical tomotherapy (HT) and intensity-modulated arc therapy (IMAT) are two arc-based approaches to the delivery of intensity-modulated radiotherapy (IMRT). Through plan comparisons we have investigated the potential of IMAT, both with constant (conventional or IMAT-C) and variable (non-conventional or IMAT-NC, a theoretical exercise) dose-rate, to serve as an alternative to helical tomotherapy. Materials and methods: Six patients with prostate tumours treated by HT with a moderately hypo-fractionated protocol, involving a simultaneous integrated boost, were re-planned as IMAT treatments. A method for IMAT inverse-planning using a commercial module for static IMRT combined with a multi-leaf collimator (MLC) arc-sequencing was developed. IMAT plans were compared to HT plans in terms of dose statistics and radiobiological indices. Results: Concerning the planning target volume (PTV), the mean doses for all PTVs were similar for HT and IMAT-C plans with minimum dose, target coverage, equivalent uniform dose (EUD) and tumour control probability (TCP) values being generally higher for HT; maximum dose and degree of heterogeneity were instead higher for IMAT-C. In relation to organs at risk, mean doses and normal tissue complication probability (NTCP) values were similar between the two modalities, except for the penile bulb where IMAT was significantly better. Re-normalizing all plans to the same rectal toxicity (NTCP = 5%), the HT modality yielded higher TCP than IMAT-C but there was no significant difference between HT and IMAT-NC. The integral dose with HT was higher than that for IMAT. Conclusions: with regards to the plan analysis, the HT is superior to IMAT-C in terms of target coverage and dose homogeneity within the PTV. Introducing dose-rate variation during arc-rotation, not deliverable with current linac technology, the simulations result in comparable plan indices between (IMAT-NC) and HT

Analyzing the Discourse of Chais Conferences for the Study of Innovation and Learning Technologies via a Data-Driven Approach

Directory of Open Access Journals (Sweden)

Vered Silber-Varod

2016-12-01

Full Text Available The current rapid technological changes confront researchers of learning technologies with the challenge of evaluating them, predicting trends, and improving their adoption and diffusion. This study utilizes a data-driven discourse analysis approach, namely culturomics, to investigate changes over time in the research of learning technologies. The patterns and changes were examined on a corpus of articles published over the past decade (2006-2014 in the proceedings of Chais Conference for the Study of Innovation and Learning Technologies – the leading research conference on learning technologies in Israel. The interesting findings of the exhaustive process of analyzing all the words in the corpus were that the most commonly used terms (e.g., pupil, teacher, student and the most commonly used phrases (e.g., face-to-face in the field of learning technologies reflect a pedagogical rather than a technological aspect of learning technologies. The study also demonstrates two cases of change over time in prominent themes, such as “Facebook” and “the National Information and Communication Technology (ICT program”. Methodologically, this research demonstrates the effectiveness of a data-driven approach for identifying discourse trends over time.

Thermochemical performance analysis of solar driven CO_2 methane reforming

International Nuclear Information System (INIS)

Fuqiang, Wang; Jianyu, Tan; Huijian, Jin; Yu, Leng

2015-01-01

Increasing CO_2 emission problems create urgent challenges for alleviating global warming, and the capture of CO_2 has become an essential field of scientific research. In this study, a finite volume method (FVM) coupled with thermochemical kinetics was developed to analyze the solar driven CO_2 methane reforming process in a metallic foam reactor. The local thermal non-equilibrium (LTNE) model coupled with radiative heat transfer was developed to provide more temperature information. A joint inversion method based on chemical process software and the FVM coupled with thermochemical kinetics was developed to obtain the thermochemical reaction parameters and guarantee the calculation accuracy. The detailed thermal and thermochemical performance in the metal foam reactor was analyzed. In addition, the effects of heat flux distribution and porosity on the solar driven CO_2 methane reforming process were analyzed. The numerical results can serve as theoretical guidance for the solar driven CO_2 methane reforming application. - Highlights: • Solar driven CO_2 methane reforming process in metal foam reactor is analyzed. • FVM with chemical reactions was developed to analyze solar CO_2 methane reforming. • A joint inversion method was developed to obtain thermochemical reaction parameters. • Results can be a guidance for the solar driven CO_2 methane reforming application.

Innovative design method of automobile profile based on Fourier descriptor

Science.gov (United States)

Gao, Shuyong; Fu, Chaoxing; Xia, Fan; Shen, Wei

2017-10-01

Aiming at the innovation of the contours of automobile side, this paper presents an innovative design method of vehicle side profile based on Fourier descriptor. The design flow of this design method is: pre-processing, coordinate extraction, standardization, discrete Fourier transform, simplified Fourier descriptor, exchange descriptor innovation, inverse Fourier transform to get the outline of innovative design. Innovative concepts of the innovative methods of gene exchange among species and the innovative methods of gene exchange among different species are presented, and the contours of the innovative design are obtained separately. A three-dimensional model of a car is obtained by referring to the profile curve which is obtained by exchanging xenogeneic genes. The feasibility of the method proposed in this paper is verified by various aspects.

Innovation in Organizations

Directory of Open Access Journals (Sweden)

Vladimir-Codrin Ionescu

2015-05-01

Full Text Available Innovation is an integrating part of the re-vitalization plan of EU economy and it is one of the seven initiatives comprised in the 2020 Europe Strategy. The European Union supports through active policies the creative-innovative processes, as illustrated by the Cohesion Policy Program for 2007-2013 and by the ”Horizon 2020” Program for Research and Innovation. The present paper presents, from an organizational perspective, relevant aspects related to the question of innovation and innovation management, while pointing out the most important internal and external factors that favour the introduction of innovation into the sphere of processes that are run by organizations, as well as into the sphere of products and services provided by organizations. At the same time, the paper briefly presents the essential attributes of organizations which obtain competitive sustainable advantages through innovation.

Technical innovation and management

Energy Technology Data Exchange (ETDEWEB)

Yoon, Yang Cheol

1982-08-15

This book gives explanations of the conception of technical innovation, development plan in Korea, connection between technology and a growth factor in national income, problem of technical innovation in developing country, analysis on cooperation between a developed country and a developing country, evaluation and strategy of technical development in Korea, technical innovation of industry, management of technical industry, analysis of special condition in Korea.

Technical innovation and management

International Nuclear Information System (INIS)

Yoon, Yang Cheol

1982-08-01

This book gives explanations of the conception of technical innovation, development plan in Korea, connection between technology and a growth factor in national income, problem of technical innovation in developing country, analysis on cooperation between a developed country and a developing country, evaluation and strategy of technical development in Korea, technical innovation of industry, management of technical industry, analysis of special condition in Korea.

Radon concentration inversions in the troposphere

International Nuclear Information System (INIS)

Pereira, E.B.

1987-07-01

Vertical concentrations of radon in the lower troposphere were obtained in Southern Brazil up to 7Km high and have shown unexpected inverted profiles. The presence of low pressure center systems southwest to the flight path suggested that inversions might have been originated by a vertical transport mechanism based on the large scale circulation of developing synoptic systems. A simple friction-driven circulation model was contructed and the transport equation was solved. (author) [pt

Information and communication technology and user knowledge-driven innovation in services

Directory of Open Access Journals (Sweden)

Hong Y. Park

2015-12-01

Full Text Available User knowledge has been an important source of novel product development and innovation, but gathering accurate user knowledge has been time consuming and difficult because user knowledge is tacit and globally dispersed. However, information and communication technology can expand the boundaries by making user knowledge easier and less expensive to access. Structures and organizations are emerging to perform the task of user information gathering. This paper examines the nature of user knowledge and the emergence of a new system/structure for user knowledge gathering and user involvement in innovation. Three case studies of business innovation in three different organizations illustrate the ways that the organization matches the type of innovation with the characteristics of user knowledge. User involvement can occur either through direct input or via feedback provided after customers received services. User input can also be either proactive or reactive. User knowledge is often employed to monitor service workers also, which has significantly contributed to recent improvement in service quality. The cases presented support our proposition.

Data-based control trajectory planning for nonlinear systems

International Nuclear Information System (INIS)

Rhodes, C.; Morari, M.; Tsimring, L.S.; Rulkov, N.F.

1997-01-01

An open-loop trajectory planning algorithm is presented for computing an input sequence that drives an input-output system such that a reference trajectory is tracked. The algorithm utilizes only input-output data from the system to determine the proper control sequence, and does not require a mathematical or identified description of the system dynamics. From the input-output data, the controlled input trajectory is calculated in a open-quotes one-step-aheadclose quotes fashion using local modeling. Since the algorithm is calculated in this fashion, the output trajectories to be tracked can be nonperiodic. The algorithm is applied to a driven Lorenz system, and an experimental electrical circuit and the results are analyzed. Issues of stability associated with the implementation of this open-loop scheme are also examined using an analytic example of a driven Hacute enon map, problems associated with inverse controllers are illustrated, and solutions to these problems are proposed. copyright 1997 The American Physical Society

Constraining inverse curvature gravity with supernovae

Energy Technology Data Exchange (ETDEWEB)

Mena, Olga; Santiago, Jose; /Fermilab; Weller, Jochen; /University Coll., London /Fermilab

2005-10-01

We show that the current accelerated expansion of the Universe can be explained without resorting to dark energy. Models of generalized modified gravity, with inverse powers of the curvature can have late time accelerating attractors without conflicting with solar system experiments. We have solved the Friedman equations for the full dynamical range of the evolution of the Universe. This allows us to perform a detailed analysis of Supernovae data in the context of such models that results in an excellent fit. Hence, inverse curvature gravity models represent an example of phenomenologically viable models in which the current acceleration of the Universe is driven by curvature instead of dark energy. If we further include constraints on the current expansion rate of the Universe from the Hubble Space Telescope and on the age of the Universe from globular clusters, we obtain that the matter content of the Universe is 0.07 {le} {omega}{sub m} {le} 0.21 (95% Confidence). Hence the inverse curvature gravity models considered can not explain the dynamics of the Universe just with a baryonic matter component.

Designing innovative education formats and how to fail well when doing so

DEFF Research Database (Denmark)

Petersen, Anne Kristine; Gundersen, Peter Bukovica

In this article we explore the challenges of designing new, radical education formats from a design-­based research perspective. The article opens with a discussion of central challenges in organisational innovation with particular emphasis on innovation in educational institutions prompted by new...... education reforms. The different roles and functions assumed by the design researcher are also discussed, and it is argued that the role of the project manager should be reconsidered as exceedingly crucial in successful implementation of reform-driven educational innovation. The article draws on empirical...... findings from a recent reform-­driven innovation in the form of a MOOC (Massive Open Online Course), which offers courses to Danish primary and lower­-secondary school teachers in need of further training. The findings discussed in the article indicate that radical education innovations may be adversely...

Evolutionary programming for goal-driven dynamic planning

Science.gov (United States)

Vaccaro, James M.; Guest, Clark C.; Ross, David O.

2002-03-01

Many complex artificial intelligence (IA) problems are goal- driven in nature and the opportunity exists to realize the benefits of a goal-oriented solution. In many cases, such as in command and control, a goal-oriented approach may be the only option. One of many appropriate applications for such an approach is War Gaming. War Gaming is an important tool for command and control because it provides a set of alternative courses of actions so that military leaders can contemplate their next move in the battlefield. For instance, when making decisions that save lives, it is necessary to completely understand the consequences of a given order. A goal-oriented approach provides a slowly evolving tractably reasoned solution that inherently follows one of the principles of war: namely concentration on the objective. Future decision-making will depend not only on the battlefield, but also on a virtual world where military leaders can wage wars and determine their options by playing computer war games much like the real world. The problem with these games is that the built-in AI does not learn nor adapt and many times cheats, because the intelligent player has access to all the information, while the user has access to limited information provided on a display. These games are written for the purpose of entertainment and actions are calculated a priori and off-line, and are made prior or during their development. With these games getting more sophisticated in structure and less domain specific in scope, there needs to be a more general intelligent player that can adapt and learn in case the battlefield situations or the rules of engagement change. One such war game that might be considered is Risk. Risk incorporates the principles of war, is a top-down scalable model, and provides a good application for testing a variety of goal- oriented AI approaches. By integrating a goal-oriented hybrid approach, one can develop a program that plays the Risk game effectively and move

The Adoption of Innovations in Library Organizations

Directory of Open Access Journals (Sweden)

Su-may Sheih Chen

2001-12-01

Full Text Available To enhance the quality of library and information service, libraries have borrowed from business theory and practice in planning and evaluating library services. However, an area of business theory that has received relatively little attention in library science is organizational innovation. Reports in the business literature provide evidence that innovation is essential for both development and survival. In increasingly unstable times of rapidly changing information technology, libraries must use the literature of innovation as well as that of planning and evaluation to shape better libraries. This paper explores key issues related to innovation in libraries including the nature, the barriers, and the ways to adopt and implement innovative strategies successfully. [Article content in Chinese

Inverse-Electron-Demand Diels-Alder Reactions: Principles and Applications.

Science.gov (United States)

Png, Zhuang Mao; Zeng, Huining; Ye, Qun; Xu, Jianwei

2017-09-05

Inverse-electron-demand Diels-Alder (iEDDA) reactions are an intriguing class of cycloaddition reactions that have attracted increasing attention for their application in bioorthogonal chemistry, the total synthesis of natural products, and materials science. In many cases, the application of the iEDDA reaction has been demonstrated as an innovative approach to achieve target structures. The theoretical aspects of this class of reactions are of particular interest for scientists as a means to understand the various factors, such as steric strain and electron density of the attached groups, that govern the reaction and thus to elucidate the reaction mechanism. This review aims to summarize both theoretical investigations and application-driven research work on the iEDDA reaction. First, the historical aspects and the theoretical basis of the reaction, especially recent advances in time-dependent density functional theory (TD-DFT) calculations, as well as catalysis strategies will be highlighted and discussed. Second, the applications of this novel reaction in the context of materials science, bioorthogonal chemistry, and total synthesis of natural products will be elaborated with selected recent examples. The challenges and opportunities of the iEDDA reaction will be highlighted to give more insight into its potential applications in many other research areas. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Integrated Optoelectronic Networks for Application-Driven Multicore Computing

Science.gov (United States)

2017-05-08

AFRL-AFOSR-VA-TR-2017-0102 Integrated Optoelectronic Networks for Application- Driven Multicore Computing Sudeep Pasricha COLORADO STATE UNIVERSITY...AND SUBTITLE Integrated Optoelectronic Networks for Application-Driven Multicore Computing 5a.  CONTRACT NUMBER 5b.  GRANT NUMBER FA9550-13-1-0110 5c...and supportive materials with innovative architectural designs that integrate these components according to system-wide application needs. 15

Global Online Entrepreneurship and the Impact of Innovation on Brands

Directory of Open Access Journals (Sweden)

Ipek Krom

2015-11-01

Full Text Available AbstractThe purpose of this paper is to evaluate the significance of innovation driven online entrepreneurship as well as the impact of innovation on brand trust, customer satisfaction and brand loyalty in the extent of service innovations.Global online entrepreneurship was explored on a theoretical basis and correlation and regression analyses were used in order to evaluate the impact of the innovations of Google on brand trust, customer satisfaction and brand loyalty. Furthermore correlation and regression analyses were used in order to find out the relationship between brand loyalty and brand trust and the relationship between brand loyalty and customer relationship in the extent of service industry. The results show a direct and positive relationship between innovation and brand loyalty, a direct and positive relationship between innovation and brand trust and a direct and positive relationship between innovation and customer satisfaction. Furthermore, according to the research findings brand trust and customer satisfaction have a direct and positive relationship with brand loyalty. This research is limited to Google users since it is the most popular search engine worldwide. In this article the impact of innovation on brand trust, customer satisfaction and brand loyalty was evaluated. For future research the impact of innovation on other variables of brand loyalty can be studied.The findings of this study inform the readers about the impact of brand trust, customer satisfaction and brand loyalty on innovation in the extent of service innovations driven by global online entrepreneurship. 

Use of Information, Product Innovation and Financial Performance on Belgian Glasshouse Holdings

OpenAIRE

Taragola, Nicole; Van Huylenbroeck, Guido; Van Lierde, Dirk

2002-01-01

In order to meet the changing needs and preferences of consumers it will be important for Belgian glasshouse growers to change from a production-driven to a customer-driven strategy. More than ever, use of information and product innovation become critical factors in the changing competitive environment. The aim of the research is to analyse the relationship between business and managerial characteristics, use of information sources, product innovation and financial performance of the firm. T...

Innovation in Agri-Food systems. Product quality and consumer acceptance

NARCIS (Netherlands)

Jongen, W.M.F.; Meulenberg, M.T.G.

2005-01-01

This is a fully rewritten and extended version of the successful textbook “Innovation of food production systems”. It focuses on consumer-driven food product innovation using a systems-oriented approach. It integrates marketing and consumer sciences with technological aspects such as processing,

The model and the planning method of volume and variety assessment of innovative products in an industrial enterprise

Science.gov (United States)

Anisimov, V. G.; Anisimov, E. G.; Saurenko, T. N.; Sonkin, M. A.

2017-01-01

In the long term, the innovative development strategy efficiency is considered as the most crucial condition for assurance of economic system competitiveness in market conditions. It determines the problem relevance of such justification strategies with regard to specific systems features and conditions of their operation. The problem solution for industrial enterprises can be based on mathematical models of supporting the decision-making on the elements of the innovative manufacturing program. An optimization model and the planning method of innovative products volume and variety are suggested. The feature of the suggested model lies in the nonlinear nature of the objective function. It allows taking into consideration the law of diminishing marginal utility. The suggested method of optimization takes into account the system features and enables the effective implementation of manufacturing capabilities in modern conditions of production organization and sales in terms of market saturation.

Climate Change and Energy Sustainability. Which Innovations in European Strategies and Plans

Directory of Open Access Journals (Sweden)

Rocco Papa

2014-05-01

Full Text Available In recent years, the effects of climate change on urban areas have pushed more and more policy-makers and urban planners to deal with the management of territorial transformations in a systemic and multi-sector perspective, due to the complexity of the issue. In order to enhance the urban governance of climate change and cope with environmental sustainability, the concept of resilience can be used. In this perspective, the present work has a double purpose: on the one hand to reflect on he need to adopt a new comprehension/interpretive approach to the study of the city, which embraces the concept of resilience, and on the other hand to perform a reading of European strategies and plans oriented to mitigate the effects of climate change and to achieve the goals of energy and environmental sustainability. This paper describes some of the results of the knowledge framework of the Project Smart Energy Master for the energy management of territory financed by PON 04A2_00120 R & C Axis II, from 2012 to 2015 aimed at supporting local authorities in the development of strategies for the reduction of energy consumption through actions designed to change behavior (in terms of use and energy consumption and to improve the energy efficiency of equipment and infrastructure. The paper is divided into three parts: the first is oriented to the definition of the new comprehension/interpretive approach; the second illustrates a series of recent innovations in planning tools of some European States due to the adoption of the concept of resilience; the third, finally, describes and compares the most innovative energy and environmental strategies aimed at contrasting and/or mitigate the effects of climate change, promoted in some European and Italian cities.

Inverse planning of intensity modulated proton therapy

International Nuclear Information System (INIS)

Nill, S.; Oelfke, U.; Bortfeld, T.

2004-01-01

A common requirement of radiation therapy is that treatment planning for different radiation modalities is devised on the basis of the same treatment planning system (TPS). The present study presents a novel multi-modal TPS with separate modules for the dose calculation, the optimization engine and the graphical user interface, which allows to integrate different treatment modalities. For heavy-charged particles, both most promising techniques, the distal edge tracking (DET) and the 3-dimensional scanning (3D) technique can be optimized. As a first application, the quality of optimized intensity-modulated treatment plans for photons (IMXT) and protons (IMPT) was analyzed in one clinical case on the basis of the achieved physical dose distributions. A comparison of the proton plans with the photon plans showed no significant improvement in terms of target volume dose, however there was an improvement in terms of organs at risk as well as a clear reduction of the total integral dose. For the DET technique, it is possible to create a treatment plan with almost the same quality of the 3D technique, however with a clearly reduced number (factor of 5) of beam spots as well as a reduced optimization time. Due to its modular design, the system can be easily expanded to more sophisticated dose-calculation algorithms or to modeling of biological effects. (orig.) [de

Governance and innovation in public sector services

DEFF Research Database (Denmark)

Scupola, Ada; Zanfei, Antonello

2016-01-01

changes; (ii) user-driven innovations have significantly increased with the diffusion of ICTs and Web based public services; and (iii) complex innovations are facilitated by face-to-face meetings between public servants and users. Third, it is suggested that changes in governance modes affect the balance...... between the different actors involved, thus influencing the nature and intensity of innovation. Fourth and finally, it is argued that the transition towards a networked governance approach requires information policies which persist over time, and are designed to increase collaboration between different...

The strategy of innovation and investment activity of the integrated agro-industrial enterprises

OpenAIRE

LYTNEVA N.A.; GONCHAROV P.V.; KYSHTYMOVA E.A.

2015-01-01

In this article reveals the relevance of research to improve the system of strategic planning of innovation and investment activity in the agricultural enterprise, types of planning innovative-investment activity of agrarian enterprises, software-oriented model of strategic planning of innovation and investment activities of AIC, the evaluation criteria of innovation and investment activity of agricultural enterprises.

Towards Sustainability-driven Innovation through Product Service Systems

OpenAIRE

Thompson, Anthony

2010-01-01

Increasing awareness of anthropogenic impacts on the planet has lead to efforts to reduce negative environmental impacts in product development for several decades. Benefits to companies who focus on sustainability initiatives have been put forth more recently, leading to many efforts to incorporate sustainability considerations in their product innovation processes. The majority of current sustainability considerations in industry constrain design space by emphasizing reduced material and en...

Towards a Toolbox for a Process Innovation Laboratory

DEFF Research Database (Denmark)

Gong, Jie; Møller, Charles

2011-01-01

Driven by the global competition, process Innovation has been a challenge to large enterprises for many years. The research in this paper discusses about the theory and methods of Business Process Innovation (BPI) in designing Intelligent Supply Chains (ISC) in inter-organizations. We first review...... the BPI concepts, compare it with Business Process Improvement (BPIm) and Business Process Reengineering (BPR), and then build an analytical framework to define business process innovation from four different perspectives: management science, knowledge management, information technology and quality...

Towards a Toolbox for a Process Innovation Laboratory

DEFF Research Database (Denmark)

Gong, Jie; Møller, Charles

2012-01-01

Driven by the global competition, process Innovation has been a challenge to large enterprises for many years. The research in this paper discusses about the theory and methods of Business Process Innovation (BPI) in designing Intelligent Supply Chains (ISC) in inter-organizations. We first review...... the BPI concepts, compare it with Business Process Improvement (BPIm) and Business Process Reengineering (BPR), and then build an analytical framework to define business process innovation from four different perspectives: management science, knowledge management, information technology and quality...

Sources of unbounded priority inversions in real-time systems and a comparative study of possible solutions

Science.gov (United States)

Davari, Sadegh; Sha, Lui

1992-01-01

In the design of real-time systems, tasks are often assigned priorities. Preemptive priority driven schedulers are used to schedule tasks to meet the timing requirements. Priority inversion is the term used to describe the situation when a higher priority task's execution is delayed by lower priority tasks. Priority inversion can occur when there is contention for resources among tasks of different priorities. The duration of priority inversion could be long enough to cause tasks to miss their dead lines. Priority inversion cannot be completely eliminated. However, it is important to identify sources of priority inversion and minimize the duration of priority inversion. In this paper, a comprehensive review of the problem of and solutions to unbounded priority inversion is presented.

Effective production planning for purchased part under long lead time and uncertain demand: MRP Vs demand-driven MRP

Science.gov (United States)

Shofa, M. J.; Moeis, A. O.; Restiana, N.

2018-04-01

MRP as a production planning system is appropriate for the deterministic environment. Unfortunately, most production systems such as customer demands are stochastic, so that MRP is inappropriate at the time. Demand-Driven MRP (DDMRP) is new approach for production planning system dealing with demand uncertainty. The objective of this paper is to compare the MRP and DDMRP for purchased part under long lead time and uncertain demand in terms of average inventory levels. The evaluation is conducted through a discrete event simulation with the long lead time and uncertain demand scenarios. The next step is evaluating the performance of DDMRP by comparing the inventory level of DDMRP with MRP. As result, DDMRP is more effective production planning than MRP in terms of average inventory levels.

Optimal Inversion Parameters for Full Waveform Inversion using OBS Data Set

Science.gov (United States)

Kim, S.; Chung, W.; Shin, S.; Kim, D.; Lee, D.

2017-12-01

In recent years, full Waveform Inversion (FWI) has been the most researched technique in seismic data processing. It uses the residuals between observed and modeled data as an objective function; thereafter, the final subsurface velocity model is generated through a series of iterations meant to minimize the residuals.Research on FWI has expanded from acoustic media to elastic media. In acoustic media, the subsurface property is defined by P-velocity; however, in elastic media, properties are defined by multiple parameters, such as P-velocity, S-velocity, and density. Further, the elastic media can also be defined by Lamé constants, density or impedance PI, SI; consequently, research is being carried out to ascertain the optimal parameters.From results of advanced exploration equipment and Ocean Bottom Seismic (OBS) survey, it is now possible to obtain multi-component seismic data. However, to perform FWI on these data and generate an accurate subsurface model, it is important to determine optimal inversion parameters among (Vp, Vs, ρ), (λ, μ, ρ), and (PI, SI) in elastic media. In this study, staggered grid finite difference method was applied to simulate OBS survey. As in inversion, l2-norm was set as objective function. Further, the accurate computation of gradient direction was performed using the back-propagation technique and its scaling was done using the Pseudo-hessian matrix.In acoustic media, only Vp is used as the inversion parameter. In contrast, various sets of parameters, such as (Vp, Vs, ρ) and (λ, μ, ρ) can be used to define inversion in elastic media. Therefore, it is important to ascertain the parameter that gives the most accurate result for inversion with OBS data set.In this study, we generated Vp and Vs subsurface models by using (λ, μ, ρ) and (Vp, Vs, ρ) as inversion parameters in every iteration, and compared the final two FWI results.This research was supported by the Basic Research Project(17-3312) of the Korea Institute of

Learning, innovation and communication: evolving dynamics of a nuclear emergency plan

International Nuclear Information System (INIS)

Quadros, Andre Luiz Lopes

2014-01-01

The technological development inherent to modern societies has placed human beings in situations of choice from a wide variety of possible risks. As a way to protect people and the environment, actions need to be developed in order to reduce possible consequences of the materialisation of these risks. The thermonuclear power generation demand planning in order to prepare answers to possible emergency situations, as even being considered of low probability of occurrence, when they happen have a significant impact on populations and regions of its surroundings. Considering the relevance of this issue, this thesis aimed to identify and analyze the dynamics of preparedness and response to emergency situations in a Nuclear Power Plant, trying to understand its evolution over the time and systematizing it, considering the actors involved, processes of organizational learning, innovation and risk communication, considered as crucial for the development and improvement of emergency plans. Concerning preparedness and response to possible emergency situations in this nuclear plant, it was possible not only to confirm the importance of the three processes studied, but also observe that they can be treated and evaluated in an integrated and systematic way. So, it was presented a model that aims to facilitate the understanding of this perspective and enhance the importance of participation and cooperation between all stakeholders (organizations and the local population) within a socio-participatory perspective. To this end, this exploratory research sought for evidences in documents, participation in planning meetings, direct observation of the general exercises of the CNAAA External Emergency Plan of 2013, interviews with some of the actors involved and through the application of a questionnaire among the population of the Praia Vermelha, in Angra dos Reis, Rio de Janeiro. (author)

Model Driven Integrated Decision-Making in Manufacturing Enterprises

Directory of Open Access Journals (Sweden)

Richard H. Weston

2012-01-01

Full Text Available Decision making requirements and solutions are observed in four world class Manufacturing Enterprises (MEs. Observations made focus on deployed methods of complexity handling that facilitate multi-purpose, distributed decision making. Also observed are examples of partially deficient “integrated decision making” which stem from lack of understanding about how ME structural relations enable and/or constrain reachable ME behaviours. To begin to address this deficiency the paper outlines the use of a “reference model of ME decision making” which can inform the structural design of decision making systems in MEs. Also outlined is a “systematic model driven approach to modelling ME systems” which can particularise the reference model in specific case enterprises and thereby can “underpin integrated ME decision making”. Coherent decomposition and representational mechanisms have been incorporated into the model driven approach to systemise complexity handling. The paper also describes in outline an application of the modelling method in a case study ME and explains how its use has improved the integration of previously distinct planning functions. The modelling approach is particularly innovative in respect to the way it structures the coherent creation and experimental re-use of “fit for purpose” discrete event (predictive simulation models at the multiple levels of abstraction.

Technical progress, the concept of individualized cancer treatment and the innovation of computer-assisted radiotherapy planning

International Nuclear Information System (INIS)

Merkle, K.; Tanneberger, S.; Matschke, S.

1985-01-01

After a first step of cancerogenesis, the further development of the tumor is an individual process. At the end of this process the tumor is formed as an individual in the individual. The individuality of cancer exists on the level of organs, tissues and cells and includes an individual tumor-host relationship. Today, optimized cancer treatment requires a most precise biological characterization possible of the tumor and of the tumor-host relationship, which will provide objective information about the individual character of every tumor. Routine analysis and strict therapeutic consideration of the clinical and biological individuality of human cancer can offer real chances for the improvement of cancer treatment. A routine acquisition of individual tumor characteristics will be possible only if methods and equipment are available for the registration of suitable parameters. In this context technical innovations have an essential influence on the realization of the concept of individualized cancer treatment. With the method of flow cytophotometry and other techniques examples are given in how far the ideas of individual cancer management can be realized by introduction of new technical solutions into medical research and clinical practice. Unfortunately there is still a lack of methodology in individualizing cancer treatment. The individualization of radiotherapy is connected to an extremely high degree of technical innovations. Particularly this refers to the topometrical description of the target volume in relation to the adjacent anatomical structures and the body contour as well as the fitting of isodoses to the shape and size of the target volume. As an example of innovation of a technical solution for individual radiotherapy planning the computer-assisted radiotherapy planning system DOPSY is described. (author)

Be the innovators how to accelerate team creativity

CERN Document Server

Ling, Peter

2016-01-01

Want to know how creative people innovate? This book gives you models and practices that you can use with your team to help you be the innovators of your organisation. Organisations are growing in a complex technology- driven environment and chief executives have expressed the need for more creative employees to steer innovation. Be the Innovators provides readers with ideas for benchmarking best practices in innovation, empowering creative excellence, leveraging collective growth and connecting a spectrum of individual and team ideas. Based on the belief that innovations change peopleas lives, Peter Ling provides insights into innovative individuals, companies and countries. He illustrates how to empower employees to engage in corporate mission, values and vision. This is a practical book for private, public and non-profit organisations to develop and refine leadership skills through innovation. It will trigger new creative connections in readers' minds to help accelerate innovation through team creativity. ...

Innovation Sources and Role of ICT in Facilities Services

DEFF Research Database (Denmark)

Scupola, Ada; Holzweber, Markus; Tuunainen, VK.

2010-01-01

structured interviews with main actors in the facilities management market. Our main finding is that facilities services innovation is mainly driven by management. However, employees also contribute to innovation. Customers have also a role in co-creation and as customer pull, even though these roles seem......In this paper, we investigate innovation sources in facilities services and the role that ICT has in supporting such innovation processes. Based on literature review, we propose a conceptual framework, which is then used to analyze empirical data. The empirical data was collected through seven semi...

Small Firm Internationalization, Innovation, and Growth

NARCIS (Netherlands)

Boermans, M.A.; Roelfsema, H.J.

2016-01-01

This paper studies the effect of internationalization on innovation and firm performance (employment growth and sales growth) taking the interdependencies among the variables into account. Given the potential endogeneity, this study uses theory-driven instrumental variables and structural equation

Evaluation of concave dose distributions created using an inverse planning system

International Nuclear Information System (INIS)

Hunt, Margie A.; Hsiung, C.-Y.; Spirou, Spirodon V.; Chui, C.-S.; Amols, Howard I.; Ling, Clifton C.

2002-01-01

Purpose: To evaluate and develop optimum inverse treatment planning strategies for the treatment of concave targets adjacent to normal tissue structures. Methods and Materials: Optimized dose distributions were designed using an idealized geometry consisting of a cylindrical phantom with a concave kidney-shaped target (PTV) and cylindrical normal tissues (NT) placed 5-13 mm from the target. Targets with radii of curvature from 1 to 2.75 cm were paired with normal tissues with radii between 0.5 and 2.25 cm. The target was constrained to a prescription dose of 100% and minimum and maximum doses of 95% and 105% with relative penalties of 25. Maximum dose constraint parameters for the NT varied from 10% to 70% with penalties from 10 to 1000. Plans were evaluated using the PTV uniformity index (PTV D max /PTV D 95 ) and maximum normal tissue doses (NT D max /PTV D 95 ). Results: In nearly all situations, the achievable PTV uniformity index and the maximum NT dose exceeded the corresponding constraints. This was particularly true for small PTV-NT separations (5-8 mm) or strict NT dose constraints (10%-30%), where the achievable doses differed from the requested by 30% or more. The same constraint parameters applied to different PTV-NT separations yielded different dose distributions. For most geometries, a range of constraints could be identified that would lead to acceptable plans. The optimization results were fairly independent of beam energy and radius of curvature, but improved as the number of beams increased, particularly for small PTV-NT separations or strict dose constraints. Conclusion: Optimized dose distributions are strongly affected by both the constraint parameters and target-normal tissue geometry. Standard site-specific constraint templates can serve as a starting point for optimization, but the final constraints must be determined iteratively for individual patients. A strategy whereby NT constraints and penalties are modified until the highest

Master-slave control with trajectory planning and Bouc-Wen model for tracking control of piezo-driven stage

Science.gov (United States)

Lu, Xiaojun; Liu, Changli; Chen, Lei

2018-04-01

In this paper, a redundant Piezo-driven stage having 3RRR compliant mechanism is introduced, we propose the master-slave control with trajectory planning (MSCTP) strategy and Bouc-Wen model to improve its micro-motion tracking performance. The advantage of the proposed controller lies in that its implementation only requires a simple control strategy without the complexity of modeling to avoid the master PEA's tracking error. The dynamic model of slave PEA system with Bouc-Wen hysteresis is established and identified via particle swarm optimization (PSO) approach. The Piezo-driven stage with operating period T=1s and 2s is implemented to track a prescribed circle. The simulation results show that MSCTP with Bouc-Wen model reduces the trajectory tracking errors to the range of the accuracy of our available measurement.

‘Smart food city’: conceptual relations between smart city planning, urban food systems and innovation theory

OpenAIRE

Maye, Damian

2018-01-01

This paper develops a conceptual link between smart city planning and urban food systems research in terms of governance and innovation. The ‘smart city’ concept is linked to an urban research agenda which seeks to embed advances in technology and data collection into the infrastructures of urban environments. Through this neoliberal framework, market-led and technological solutions to city governance and development are prioritised. The urban food movement has a different trajectory compared...

Vapor Compressor Driven Hybrid Two-Phase Loop, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — This Small Business Innovation Research Phase I project will demonstrate a vapor compressor driven hybrid two-phase loop technology. The hybrid two-phase loop...

Faces of pricing and profit planning at the doorstep of the EU: government pricing policy in the innovative pharmaceutical sector in Turkey

OpenAIRE

De Kervenoael, Ronan J.; Nilsson, Ulf

2006-01-01

The majority of research on the pharmaceutical sector has focused on an overall micro economic, medical oriented welfare issues, whereas the marketing management role of the innovative drug manufacturer has to a large extent been disregarded. Using the case of Turkey, through a series of in-depth interviews with highly innovative companies, other marketing management possibilities to develop pricing strategies and plan for profit are explored based on broader definitions of value and transpar...

Comparison of treatments of steep and shoot generated by different inverse planning systems; Comparacion de tratamiento de steep and shoot generados por diferentes sistemas de planificacion inversa

Energy Technology Data Exchange (ETDEWEB)

Perez Moreno, J. M.; Zucca Aparicio, D.; Fernandez Leton, P.; Garcia Ruiz-Zorrilla, J.; Minambres Moro, A.

2011-07-01

The problem of IMRT treatments with the technique Steep and Shoot or static is the number of segments and monitor units used in the treatment. These parameters depend largely on the inverse planning system which determines treatment. Are evaluated three commercial planning systems, with each one performing clinical dosimetry for the same series of patients. Dosimetric results are compared, UM calculated and number of segments.

Space Objects Maneuvering Detection and Prediction via Inverse Reinforcement Learning

Science.gov (United States)

Linares, R.; Furfaro, R.

This paper determines the behavior of Space Objects (SOs) using inverse Reinforcement Learning (RL) to estimate the reward function that each SO is using for control. The approach discussed in this work can be used to analyze maneuvering of SOs from observational data. The inverse RL problem is solved using the Feature Matching approach. This approach determines the optimal reward function that a SO is using while maneuvering by assuming that the observed trajectories are optimal with respect to the SO's own reward function. This paper uses estimated orbital elements data to determine the behavior of SOs in a data-driven fashion.

SU-E-T-175: Clinical Evaluations of Monte Carlo-Based Inverse Treatment Plan Optimization for Intensity Modulated Radiotherapy

Energy Technology Data Exchange (ETDEWEB)

Chi, Y; Li, Y; Tian, Z; Gu, X; Jiang, S; Jia, X [UT Southwestern Medical Center, Dallas, TX (United States)

2015-06-15

Purpose: Pencil-beam or superposition-convolution type dose calculation algorithms are routinely used in inverse plan optimization for intensity modulated radiation therapy (IMRT). However, due to their limited accuracy in some challenging cases, e.g. lung, the resulting dose may lose its optimality after being recomputed using an accurate algorithm, e.g. Monte Carlo (MC). It is the objective of this study to evaluate the feasibility and advantages of a new method to include MC in the treatment planning process. Methods: We developed a scheme to iteratively perform MC-based beamlet dose calculations and plan optimization. In the MC stage, a GPU-based dose engine was used and the particle number sampled from a beamlet was proportional to its optimized fluence from the previous step. We tested this scheme in four lung cancer IMRT cases. For each case, the original plan dose, plan dose re-computed by MC, and dose optimized by our scheme were obtained. Clinically relevant dosimetric quantities in these three plans were compared. Results: Although the original plan achieved a satisfactory PDV dose coverage, after re-computing doses using MC method, it was found that the PTV D95% were reduced by 4.60%–6.67%. After re-optimizing these cases with our scheme, the PTV coverage was improved to the same level as in the original plan, while the critical OAR coverages were maintained to clinically acceptable levels. Regarding the computation time, it took on average 144 sec per case using only one GPU card, including both MC-based beamlet dose calculation and treatment plan optimization. Conclusion: The achieved dosimetric gains and high computational efficiency indicate the feasibility and advantages of the proposed MC-based IMRT optimization method. Comprehensive validations in more patient cases are in progress.

Initiating Service Encounter-based Innovation by Word-of-Business

DEFF Research Database (Denmark)

Mattsson, Jan

2015-01-01

Purpose – This paper aims to set up a natural experiment as action research and to develop a framework of cognitive distance of informants to improve the initiation of service encounter-based innovation. Design/methodology/approach – Natural experiment as action research in one Scandinavian case...... transcriptions of interviews and transcriptions. Research limitations/implications – Only one Scandinavian company and a limited number of informants were activated. Also, the time period only included the initiation phase of service encounter-based innovation. Practical implications – Three different strategies...... in an emerging innovation field, open/user-driven innovation. Theory from business marketing, service encounter and innovation is also used....

User-Producer Interaction as a Driver of Innovation

DEFF Research Database (Denmark)

Laursen, Keld

2011-01-01

While drawing on theories of distributed innovation and search, we conjecture that because a lot of important knowledge can only be obtained through the use of a product, the use of customer knowledge is beneficial for firms’ innovative performance. However, the use of customer knowledge also has...... that there is an inverse U-shaped relationship between the intensity of the use of customer knowledge and innovative performance. We hypothesize that the negative effect at high levels of intensity of the use of customer knowledge is offset by firms’ broader search strategies in terms of the breadth of external search...... among other sources of innovation: If firms search more broadly among several sources of innovation, they are much more likely to enjoy the benefits of customer knowledge, while avoiding important negative aspects. Overall, we find empirical support for these conjectures....

Development of a strategic plan for an international R and D project on innovative nuclear fuel cycles and power plants

International Nuclear Information System (INIS)

Kendall, J.; Choi, J.S.

2002-01-01

The long-term outlook for nuclear energy should be considered in a broader perspective of future energy needs, operational safety, proliferation and environmental impacts. An Advisory Group Meeting (AGM) on Development of a Strategic Plan for an International R and D Project on Innovative Nuclear Fuel Cycles and Power Plants was convened in Vienna in October 1999 to assess the criteria, the needs for international cooperation, and to formulate a strategic plan for project integration. (author)

Speeding up innovation in agricultural IT

Directory of Open Access Journals (Sweden)

Hannu E.S. Haapala

2013-09-01

Full Text Available An OECD funded research was conducted where methods and processes for speeding up innovation in agriculture were assessed. A global web-based questionnaire was sent to experts in agricultural engineering, research, marketing, education and users of new technologies. Interviews of selected experts were done to deepen the analysis. The results show that considerable part of the relatively slow innovation comes from the fact that users do not trust in new technologies or that the usability of them is unacceptable. The experts suggest that education of the engineers and designers should include more elements from User-Centered Design (UCD and also User-Driven Innovation methods should be more used. As a conclusion a new ‘Dream Team’ of agricultural innovation was developed where user interaction and marketing professionals were given more roles.

Problems in the neutron dynamics of source-driven systems

International Nuclear Information System (INIS)

Ravetto, P.

2001-01-01

The present paper presents some neutronic features of source-driven neutron multiplying systems, with special regards to dynamics, discussing the validity and limitations of classical methods, developed for systems in the vicinity of criticality. Specific characteristics, such as source dominance and the role of delayed neutron emissions are illustrated. Some dynamic peculiarities of innovative concepts proposed for accelerator-driven systems, such as fluid-fuel, are also discussed. The second portion of the work formulates the quasi-static methods for source-driven systems, evidencing its novel features and presenting some numerical results. (author)

Implementing for Sustainability: Promoting Use of a Measurement Feedback System for Innovation and Quality Improvement.

Science.gov (United States)

Douglas, Susan; Button, Suzanne; Casey, Susan E

2016-05-01

Measurement feedback systems (MFSs) are increasingly recognized as evidence-based treatments for improving mental health outcomes, in addition to being a useful administrative tool for service planning and reporting. Promising research findings have driven practice administrators and policymakers to emphasize the incorporation of outcomes monitoring into electronic health systems. To promote MFS integrity and protect against potentially negative outcomes, it is vital that adoption and implementation be guided by scientifically rigorous yet practical principles. In this point of view, the authors discuss and provide examples of three user-centered and theory-based principles: emphasizing integration with clinical values and workflow, promoting administrative leadership with the 'golden thread' of data-informed decision-making, and facilitating sustainability by encouraging innovation. In our experience, enacting these principles serves to promote sustainable implementation of MFSs in the community while also allowing innovation to occur, which can inform improvements to guide future MFS research.

INFORMATION SYSTEM FOR PLANNING, ACCOUNTING, MONITORING AND MANAGEMENT OF INNOVATION IN THE UKRAINIAN HEALTH CARE SPHERE

Directory of Open Access Journals (Sweden)

A. E. Gorban

2016-06-01

Full Text Available Each year, research teams of organizations, institutions and enterprises from the sphere of the Ministry of Public Health (MPH of Ukraine carried out more than 200 scientific research works (SRW, the results of which creates innovative products (new method, a technique, a compound device, and the like. Growth in the medical information obtained in the performance of SRW results in the need to speed up the processing and transfer of innovation activity agents. This problem can be effectively addressed through the use of automated information systems. Timely analysis of the incoming information, particularly at the planning stage of SRW, and forecasting its effectiveness permit to avoid mistakes in management decisions. In this regard, relevant and timely is the development of automated information systems and modern information technologies for collecting, processing and analyzing information. The article presents the scientific basis of development and the creation of an automated information system for recording, monitoring and forecasting of the effectiveness of innovation. The basic principles to be met by the developed system are systemic, development, interoperability, standardization and efficiency, data security and reliability, agility, visibility and intuitive user experience, ease of use and minimal sufficient of information support.

Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5).

Science.gov (United States)

Bousquet, J; Farrell, J; Crooks, G; Hellings, P; Bel, E H; Bewick, M; Chavannes, N H; de Sousa, J Correia; Cruz, A A; Haahtela, T; Joos, G; Khaltaev, N; Malva, J; Muraro, A; Nogues, M; Palkonen, S; Pedersen, S; Robalo-Cordeiro, C; Samolinski, B; Strandberg, T; Valiulis, A; Yorgancioglu, A; Zuberbier, T; Bedbrook, A; Aberer, W; Adachi, M; Agusti, A; Akdis, C A; Akdis, M; Ankri, J; Alonso, A; Annesi-Maesano, I; Ansotegui, I J; Anto, J M; Arnavielhe, S; Arshad, H; Bai, C; Baiardini, I; Bachert, C; Baigenzhin, A K; Barbara, C; Bateman, E D; Beghé, B; Kheder, A Ben; Bennoor, K S; Benson, M; Bergmann, K C; Bieber, T; Bindslev-Jensen, C; Bjermer, L; Blain, H; Blasi, F; Boner, A L; Bonini, M; Bonini, S; Bosnic-Anticevitch, S; Boulet, L P; Bourret, R; Bousquet, P J; Braido, F; Briggs, A H; Brightling, C E; Brozek, J; Buhl, R; Burney, P G; Bush, A; Caballero-Fonseca, F; Caimmi, D; Calderon, M A; Calverley, P M; Camargos, P A M; Canonica, G W; Camuzat, T; Carlsen, K H; Carr, W; Carriazo, A; Casale, T; Cepeda Sarabia, A M; Chatzi, L; Chen, Y Z; Chiron, R; Chkhartishvili, E; Chuchalin, A G; Chung, K F; Ciprandi, G; Cirule, I; Cox, L; Costa, D J; Custovic, A; Dahl, R; Dahlen, S E; Darsow, U; De Carlo, G; De Blay, F; Dedeu, T; Deleanu, D; De Manuel Keenoy, E; Demoly, P; Denburg, J A; Devillier, P; Didier, A; Dinh-Xuan, A T; Djukanovic, R; Dokic, D; Douagui, H; Dray, G; Dubakiene, R; Durham, S R; Dykewicz, M S; El-Gamal, Y; Emuzyte, R; Fabbri, L M; Fletcher, M; Fiocchi, A; Fink Wagner, A; Fonseca, J; Fokkens, W J; Forastiere, F; Frith, P; Gaga, M; Gamkrelidze, A; Garces, J; Garcia-Aymerich, J; Gemicioğlu, B; Gereda, J E; González Diaz, S; Gotua, M; Grisle, I; Grouse, L; Gutter, Z; Guzmán, M A; Heaney, L G; Hellquist-Dahl, B; Henderson, D; Hendry, A; Heinrich, J; Heve, D; Horak, F; Hourihane, J O' B; Howarth, P; Humbert, M; Hyland, M E; Illario, M; Ivancevich, J C; Jardim, J R; Jares, E J; Jeandel, C; Jenkins, C; Johnston, S L; Jonquet, O; Julge, K; Jung, K S; Just, J; Kaidashev, I; Kaitov, M R; Kalayci, O; Kalyoncu, A F; Keil, T; Keith, P K; Klimek, L; Koffi N'Goran, B; Kolek, V; Koppelman, G H; Kowalski, M L; Kull, I; Kuna, P; Kvedariene, V; Lambrecht, B; Lau, S; Larenas-Linnemann, D; Laune, D; Le, L T T; Lieberman, P; Lipworth, B; Li, J; Lodrup Carlsen, K; Louis, R; MacNee, W; Magard, Y; Magnan, A; Mahboub, B; Mair, A; Majer, I; Makela, M J; Manning, P; Mara, S; Marshall, G D; Masjedi, M R; Matignon, P; Maurer, M; Mavale-Manuel, S; Melén, E; Melo-Gomes, E; Meltzer, E O; Menzies-Gow, A; Merk, H; Michel, J P; Miculinic, N; Mihaltan, F; Milenkovic, B; Mohammad, G M Y; Molimard, M; Momas, I; Montilla-Santana, A; Morais-Almeida, M; Morgan, M; Mösges, R; Mullol, J; Nafti, S; Namazova-Baranova, L; Naclerio, R; Neou, A; Neffen, H; Nekam, K; Niggemann, B; Ninot, G; Nyembue, T D; O'Hehir, R E; Ohta, K; Okamoto, Y; Okubo, K; Ouedraogo, S; Paggiaro, P; Pali-Schöll, I; Panzner, P; Papadopoulos, N; Papi, A; Park, H S; Passalacqua, G; Pavord, I; Pawankar, R; Pengelly, R; Pfaar, O; Picard, R; Pigearias, B; Pin, I; Plavec, D; Poethig, D; Pohl, W; Popov, T A; Portejoie, F; Potter, P; Postma, D; Price, D; Rabe, K F; Raciborski, F; Radier Pontal, F; Repka-Ramirez, S; Reitamo, S; Rennard, S; Rodenas, F; Roberts, J; Roca, J; Rodriguez Mañas, L; Rolland, C; Roman Rodriguez, M; Romano, A; Rosado-Pinto, J; Rosario, N; Rosenwasser, L; Rottem, M; Ryan, D; Sanchez-Borges, M; Scadding, G K; Schunemann, H J; Serrano, E; Schmid-Grendelmeier, P; Schulz, H; Sheikh, A; Shields, M; Siafakas, N; Sibille, Y; Similowski, T; Simons, F E R; Sisul, J C; Skrindo, I; Smit, H A; Solé, D; Sooronbaev, T; Spranger, O; Stelmach, R; Sterk, P J; Sunyer, J; Thijs, C; To, T; Todo-Bom, A; Triggiani, M; Valenta, R; Valero, A L; Valia, E; Valovirta, E; Van Ganse, E; van Hage, M; Vandenplas, O; Vasankari, T; Vellas, B; Vestbo, J; Vezzani, G; Vichyanond, P; Viegi, G; Vogelmeier, C; Vontetsianos, T; Wagenmann, M; Wallaert, B; Walker, S; Wang, D Y; Wahn, U; Wickman, M; Williams, D M; Williams, S; Wright, J; Yawn, B P; Yiallouros, P K; Yusuf, O M; Zaidi, A; Zar, H J; Zernotti, M E; Zhang, L; Zhong, N; Zidarn, M; Mercier, J

2016-01-01

Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.

Projected change in characteristics of near surface temperature inversions for southeast Australia

Science.gov (United States)

Ji, Fei; Evans, Jason Peter; Di Luca, Alejandro; Jiang, Ningbo; Olson, Roman; Fita, Lluis; Argüeso, Daniel; Chang, Lisa T.-C.; Scorgie, Yvonne; Riley, Matt

2018-05-01

Air pollution has significant impacts on human health. Temperature inversions, especially near surface temperature inversions, can amplify air pollution by preventing convective movements and trapping pollutants close to the ground, thus decreasing air quality and increasing health issues. This effect of temperature inversions implies that trends in their frequency, strength and duration can have important implications for air quality. In this study, we evaluate the ability of three reanalysis-driven high-resolution regional climate model (RCM) simulations to represent near surface inversions at 9 sounding sites in southeast Australia. Then we use outputs of 12 historical and future RCM simulations (each with three time periods: 1990-2009, 2020-2039, and 2060-2079) from the NSW/ACT (New South Wales/Australian Capital Territory) Regional Climate Modelling (NARCliM) project to investigate changes in near surface temperature inversions. The results show that there is a substantial increase in the strength of near surface temperature inversions over southeast Australia which suggests that future inversions may intensify poor air quality events. Near surface inversions and their future changes have clear seasonal and diurnal variations. The largest differences between simulations are associated with the driving GCMs, suggesting that the large-scale circulation plays a dominant role in near surface inversion strengths.

Effects of a consumer driven health plan on pharmaceutical spending and utilization.

Science.gov (United States)

Parente, Stephen T; Feldman, Roger; Chen, Song

2008-10-01

To compare pharmaceutical spending and utilization in a consumer driven health plan (CDHP) with a three-tier pharmacy benefit design, and to examine whether the CDHP creates incentives to reduce pharmaceutical spending and utilization for chronically ill patients, generic or brand name drugs, and mail-order drugs. Retrospective insurance claims analysis from a large employer that introduced a CDHP in 2001 in addition to a point of service (POS) plan and a preferred provider organization (PPO), both of which used a three-tier pharmacy benefit. Difference-in-differences regression models were estimated for drug spending and utilization. Control variables included the employee's income, age, and gender, number of covered lives per contract, election of flexible spending account, health status, concurrent health shock, cohort, and time trend. Results. CDHP pharmaceutical expenditures were lower than those in the POS cohort in 1 year without differences in the use of brand name drugs. We find limited evidence of less drug consumption by CDHP enrollees with chronic illnesses, and some evidence of less generic drug use and more mail-order drug use among CDHP members. The CDHP is cost-neutral or cost-saving to both the employer and the employee compared with three-tier benefits with no differences in brand name drug use. © Health Research and Educational Trust.

Global Mental Health: Five Areas for Value-Driven Training Innovation.

Science.gov (United States)

Kohrt, Brandon A; Marienfeld, Carla B; Panter-Brick, Catherine; Tsai, Alexander C; Wainberg, Milton L

2016-08-01

In the field of global mental health, there is a need for identifying core values and competencies to guide training programs in professional practice as well as in academia. This paper presents the results of interdisciplinary discussions fostered during an annual meeting of the Society for the Study of Psychiatry and Culture to develop recommendations for value-driven innovation in global mental health training. Participants (n = 48), who registered for a dedicated workshop on global mental health training advertised in conference proceedings, included both established faculty and current students engaged in learning, practice, and research. They proffered recommendations in five areas of training curriculum: values, competencies, training experiences, resources, and evaluation. Priority values included humility, ethical awareness of power differentials, collaborative action, and "deep accountability" when working in low-resource settings in low- and middle-income countries and high-income countries. Competencies included flexibility and tolerating ambiguity when working across diverse settings, the ability to systematically evaluate personal biases, historical and linguistic proficiency, and evaluation skills across a range of stakeholders. Training experiences included didactics, language training, self-awareness, and supervision in immersive activities related to professional or academic work. Resources included connections with diverse faculty such as social scientists and mentors in addition to medical practitioners, institutional commitment through protected time and funding, and sustainable collaborations with partners in low resource settings. Finally, evaluation skills built upon community-based participatory methods, 360-degree feedback from partners in low-resource settings, and observed structured clinical evaluations (OSCEs) with people of different cultural backgrounds. Global mental health training, as envisioned in this workshop, exemplifies

Numerical modeling of Harmonic Imaging and Pulse Inversion fields

Science.gov (United States)

Humphrey, Victor F.; Duncan, Tracy M.; Duck, Francis

2003-10-01

Tissue Harmonic Imaging (THI) and Pulse Inversion (PI) Harmonic Imaging exploit the harmonics generated as a result of nonlinear propagation through tissue to improve the performance of imaging systems. A 3D finite difference model, that solves the KZK equation in the frequency domain, is used to investigate the finite amplitude fields produced by rectangular transducers driven with short pulses and their inverses, in water and homogeneous tissue. This enables the characteristic of the fields and the effective PI field to be calculated. The suppression of the fundamental field in PI is monitored, and the suppression of side lobes and a reduction in the effective beamwidth for each field are calculated. In addition, the differences between the pulse and inverse pulse spectra resulting from the use of very short pulses are noted, and the differences in the location of the fundamental and second harmonic spectral peaks observed.

Research on accelerator-driven transmutation and studies of experimental facilities

Energy Technology Data Exchange (ETDEWEB)

Takizuka, Takakazu [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment

1997-11-01

JAERI is carrying out R and Ds on accelerator-driven transmutation systems under the national OMEGA Program that aims at development of the technology to improve efficiency and safety in the final disposal of radioactive waste. Research facilities for accelerator-driven transmutation experiments are proposed to construct within the framework of the planned JAERI Neutron Science Project. This paper describes the features of the proposed accelerator-driven transmutation systems and their technical issues to be solved. A research facility plan under examination is presented. The plan is divided in two phases. In the second phase, technical feasibility of accelerator-driven systems will be demonstrated with a 30-60 MW experimental integrated system and with a 7 MW high-power target facility. (author)

Egg Component-Composited Inverse Opal Particles for Synergistic Drug Delivery.

Science.gov (United States)

Liu, Yuxiao; Shao, Changmin; Bian, Feika; Yu, Yunru; Wang, Huan; Zhao, Yuanjin

2018-05-23

Microparticles have a demonstrated value in drug delivery systems. The attempts to develop this technology focus on the generation of functional microparticles by using innovative but accessible materials. Here, we present egg component-composited microparticles with a hybrid inverse opal structure for synergistic drug delivery. The egg component inverse opal particles were produced by using egg yolk to negatively replicate colloid crystal bead templates. Because of their huge specific surface areas, abundant nanopores, and complex nanochannels of the inverse opal structure, the resultant egg yolk particles could be loaded with different kinds of drugs, such as hydrophobic camptothecin (CPT), by simply immersing them into the corresponding drug solutions. Attractively, additional drugs, such as the hydrophilic doxorubicin (DOX), could also be encapsulated into the particles through the secondary filling of the drug-doped egg white hydrogel into the egg yolk inverse opal scaffolds, which realized the synergistic drug delivery for the particles. It was demonstrated that the egg-derived inverse opal particles were with large quantity and lasting releasing for the CPT and DOX codelivery, and thus could significantly reduce cell viability, and enhance therapeutic efficacy in treating cancer cells. These features of the egg component-composited inverse opal microparticles indicated that they are ideal microcarriers for drug delivery.

Performance Analysis of Waste Heat Driven Pressurized Adsorption Chiller

KAUST Repository

LOH, Wai Soong; SAHA, Bidyut Baran; CHAKRABORTY, Anutosh; NG, Kim Choon; CHUN, Won Gee

2010-01-01

This article presents the transient modeling and performance of waste heat driven pressurized adsorption chillers for refrigeration at subzero applications. This innovative adsorption chiller employs pitch-based activated carbon of type Maxsorb III

The paradigm of consumer-driven and responsive supply chains: An integrated project approach

NARCIS (Netherlands)

Zimmermann, K.L.; Lans, van der I.A.

2009-01-01

This paper describes an integrated project approach that forms the basis of the studies on consumer-driven innovative and responsive supply chains in ISAFRUIT Pillar 1. This integrated approach leads to a wide range of indepth results on trends, preferences, and innovativeness of the European

Geodesy and the UNAVCO Consortium: Three Decades of Innovations

Science.gov (United States)

Rowan, L. R.; Miller, M. M.; Meertens, C. M.; Mattioli, G. S.

2015-12-01

UNAVCO, a non-profit, university consortium that supports geoscience research using geodesy, began with the ingenious recognition that the nascent Global Positioning System constellation (GPS) could be used to investigate earth processes. The consortium purchased one of the first commercially available GPS receivers, Texas Instrument's TI-4100 NAVSTAR Navigator, in 1984 to measure plate deformation. This early work was highlighted in a technology magazine, GPSWorld, in 1990. Over a 30-year period, UNAVCO and the community have helped advance instrument design for mobility, flexibility, efficiency and interoperability, so research could proceed with higher precision and under ever challenging conditions. Other innovations have been made in data collection, processing, analysis, management and archiving. These innovations in tools, methods and data have had broader impacts as they have found greater utility beyond research for timing, precise positioning, safety, communication, navigation, surveying, engineering and recreation. Innovations in research have expanded the utility of geodetic tools beyond the solid earth science through creative analysis of the data and the methods. For example, GPS sounding of the atmosphere is now used for atmospheric and space sciences. GPS reflectrometry, another critical advance, supports soil science, snow science and ecological research. Some research advances have had broader impacts for society by driving innovations in hazards risk reduction, hazards response, resource management, land use planning, surveying, engineering and other uses. Furthermore, the geodetic data is vital for the design of space missions, testing and advancing communications, and testing and dealing with interference and GPS jamming. We will discuss three decades (and counting) of advances by the National Science Foundation's premiere geodetic facility, consortium and some of the many geoscience principal investigators that have driven innovations in

Innovation in Management Plans for Community Conserved Areas: Experiences from Australian Indigenous Protected Areas

Directory of Open Access Journals (Sweden)

Jocelyn Davies

2013-06-01

Full Text Available Increasing attention to formal recognition of indigenous and community conserved areas (ICCAs as part of national and/or global protected area systems is generating novel encounters between the customary institutions through which indigenous peoples and local communities manage these traditional estates and the bureaucratic institutions of protected area management planning. Although management plans are widely considered to be important to effective management of protected areas, little guidance has been available about how their form and content can effectively reflect the distinctive socio-cultural and political characteristics of ICCAs. This gap has been particularly apparent in Australia where a trend to rapidly increased formal engagement of indigenous people in environmental management resulted, by 2012, in 50 indigenous groups voluntarily declaring their intent to manage all or part of their estates for conservation in perpetuity, as an indigenous protected area (IPA. Development and adoption of a management plan is central to the process through which the Australian Government recognizes these voluntary declarations and invests resources in IPA management. We identified four types of innovations, apparent in some recent IPA plans, which reflect the distinctive socio-cultural and political characteristics of ICCAs and support indigenous people as the primary decision makers and drivers of knowledge integration in IPAs. These are (1 a focus on customary institutions in governance; (2 strategic planning approaches that respond to interlinkages of stewardship between people, place, plants, and animals; (3 planning frameworks that bridge scales by considering values and issues across the whole of an indigenous people's territory; and (4 varied communication modes appropriate to varied audiences, including an emphasis on visual and spatial modes. Further research is warranted into how governance and management of IPAs, and the plans that

An innovative method of planning and displaying flap volume in DIEP flap breast reconstructions.

Science.gov (United States)

Hummelink, S; Verhulst, Arico C; Maal, Thomas J J; Hoogeveen, Yvonne L; Schultze Kool, Leo J; Ulrich, Dietmar J O

2017-07-01

Determining the ideal volume of the harvested flap to achieve symmetry in deep inferior epigastric artery perforator (DIEP) flap breast reconstructions is complex. With preoperative imaging techniques such as 3D stereophotogrammetry and computed tomography angiography (CTA) available nowadays, we can combine information to preoperatively plan the optimal flap volume to be harvested. In this proof-of-concept, we investigated whether projection of a virtual flap planning onto the patient's abdomen using a projection method could result in harvesting the correct flap volume. In six patients (n = 9 breasts), 3D stereophotogrammetry and CTA data were combined from which a virtual flap planning was created comprising perforator locations, blood vessel trajectory and flap size. All projected perforators were verified with Doppler ultrasound. Intraoperative flap measurements were collected to validate the determined flap delineation volume. The measured breast volume using 3D stereophotogrammetry was 578 ± 127 cc; on CTA images, 527 ± 106 cc flap volumes were planned. The nine harvested flaps weighed 533 ± 109 g resulting in a planned versus harvested flap mean difference of 5 ± 27 g (flap density 1.0 g/ml). In 41 out of 42 projected perforator locations, a Doppler signal was audible. This proof-of-concept shows in small numbers that flap volumes can be included into a virtual DIEP flap planning, and transferring the virtual planning to the patient through a projection method results in harvesting approximately the same volume during surgery. In our opinion, this innovative approach is the first step in consequently achieving symmetric breast volumes in DIEP flap breast reconstructions. Copyright © 2017 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.

Neural Networks to model the innovativeness perception of co-creative firms

DEFF Research Database (Denmark)

Tanev, Stoyan

2012-01-01

contribution is to make a quantitative analysis in order to assess the relationship between value co-creation and innovation in technology-driven firms: we are using Artificial Neural Network (ANN) to investigate the relationship between value co-creation and innovativeness, and Self Organising Map (SOM) models...

Supporting radical front end innovation

DEFF Research Database (Denmark)

Aagaard, Annabeth; Gertsen, Frank

2011-01-01

). Pharmaceutical innovation is unique, as it opposed to most other industries’ product development is science-driven and not customer-driven. In addition, the pharmaceutical FEI, as represented by research, lasts up to 5 years and the entire R&D process constitutes a period of 10-12 years, which is highly...... regulated by external authorities, e.g. The American Food and Drug Administration (FDA). The research aim of this paper is: to contribute to the field of FEI by studying how FEI can be actively supported within the industry specific context of the pharmaceutical industry, and through a conceptual discussion...

Collaborative business modeling for systemic and sustainability innovations

DEFF Research Database (Denmark)

Rohrbeck, René; Konnertz, L.; Knab, S.

2013-01-01

Sustainability innovations are characterized by a systemic nature, and require that multiple organizations act in an orchestrated fashion. To jointly identify opportunities and plan sustainability innovations, new methods and approaches are needed. In this article we describe a case study where 8...... firms have collaborated to envision and create new business models in the energy industry. After describing this collaborative business modelling (CBM) approach, we discuss its strengths and limitations and compare it to two alternative methods of strategy and innovation planning: scenario technique...

Sustainable Innovation and Entrepreneurship Methodology

DEFF Research Database (Denmark)

Celik, Sine; Joore, Peter; Christodoulou, Panayiotis

or regional “co-creation platform for sustainable solutions” to promote structural innovation. In this manual, the Sustainable Innovation and Entrepreneurship Methodology will be described. The organisational guidelines mainly take point of departure in how Aalborg University (AAU) in Denmark has organised......The objective of the InnoLabs project is to facilitate cross-sectoral, multidisciplinary solutions to complex social problems in various European settings. InnoLabs are university-driven physical and/or organizational spaces that function as student innovation laboratories and operate as a local...... this in daily practice. In line with the objectives of the Innolabs project (output 05), partners in the Innolabs project have reflected, evaluated and concluded the project experiences, which are described in this report. The InnoLabs project was developed for the 2014 call of Erasmus+ funds KA2- Cooperation...

Innovations in plant health services in Nicaragua

DEFF Research Database (Denmark)

Danielsen, Solveig; Centeno, Julio; López, Julio

2013-01-01

to the creation of a ‘National Plant Health System’ offering regular advice to farmers. The innovations were driven by a momentum for change, committed individuals, joint learning and flexibility in programme management. External facilitation encouraged experimentation and bolstered growth of new alliances....... The development of the national plant health system was constrained by existing work cultures that limit the scope of individual and institutional innovations.......Establishing a few community-based plant clinics in Nicaragua led to a series of innovations in plant health service delivery. A grassroots experiment became a nationwide initiative involving local service providers, universities, research institutions and diagnostic laboratories. This led...

Labour flexibility and innovation, complementary or concurrent strategies? A review of the literature

OpenAIRE

De Spiegelaere, Stan; Van Gyes, Guy; Van Hootegem, Geert

2014-01-01

The European strategy for growth has a double aim: becoming an innovative union and enhancing labour flexibility. Yet, few addressed the question whether these two strategies are compatible or concurrent strategies. Through a review of the literature, we address this question by focusing on different types of labour flexibility (functional, contractual and financial), and two types of innovation outcomes: employee-driven innovation (EDI) and organizational innovativeness. Using insights from ...

Policy Instruments for Eco-Innovation in Asian Countries

OpenAIRE

Jang, Eun; Park, Mi; Roh, Tae; Han, Ki

2015-01-01

Eco-innovation globally emerged as an effort to implement sustainable development. States and firms established and implemented policies and strategies for eco-innovation as one route to achieving sustainable development. Eco-innovation has been facilitated in developed countries, specifically OECD members and European countries, through action plans. Recently, eco-innovation policies have emerged in developing countries. Thus, this study analyzes eco-innovation policies in Asian countries. ...

On Singularities and Black Holes in Combination-Driven Models of Technological Innovation Networks.

Directory of Open Access Journals (Sweden)

Ricard Solé

Full Text Available It has been suggested that innovations occur mainly by combination: the more inventions accumulate, the higher the probability that new inventions are obtained from previous designs. Additionally, it has been conjectured that the combinatorial nature of innovations naturally leads to a singularity: at some finite time, the number of innovations should diverge. Although these ideas are certainly appealing, no general models have been yet developed to test the conditions under which combinatorial technology should become explosive. Here we present a generalised model of technological evolution that takes into account two major properties: the number of previous technologies needed to create a novel one and how rapidly technology ages. Two different models of combinatorial growth are considered, involving different forms of ageing. When long-range memory is used and thus old inventions are available for novel innovations, singularities can emerge under some conditions with two phases separated by a critical boundary. If the ageing has a characteristic time scale, it is shown that no singularities will be observed. Instead, a "black hole" of old innovations appears and expands in time, making the rate of invention creation slow down into a linear regime.

On Singularities and Black Holes in Combination-Driven Models of Technological Innovation Networks.

Science.gov (United States)

Solé, Ricard; Amor, Daniel R; Valverde, Sergi

2016-01-01

It has been suggested that innovations occur mainly by combination: the more inventions accumulate, the higher the probability that new inventions are obtained from previous designs. Additionally, it has been conjectured that the combinatorial nature of innovations naturally leads to a singularity: at some finite time, the number of innovations should diverge. Although these ideas are certainly appealing, no general models have been yet developed to test the conditions under which combinatorial technology should become explosive. Here we present a generalised model of technological evolution that takes into account two major properties: the number of previous technologies needed to create a novel one and how rapidly technology ages. Two different models of combinatorial growth are considered, involving different forms of ageing. When long-range memory is used and thus old inventions are available for novel innovations, singularities can emerge under some conditions with two phases separated by a critical boundary. If the ageing has a characteristic time scale, it is shown that no singularities will be observed. Instead, a "black hole" of old innovations appears and expands in time, making the rate of invention creation slow down into a linear regime.

INNOVATION – THE MAIN SOURCE OF SUSTAINABLE DEVELOPMENT

Directory of Open Access Journals (Sweden)

Viorel Pop

2014-10-01

Full Text Available Economy - is the sum of population activities and economic progress is due to the innovative ideas of individuals from that population. Competition in innovation domain is driven by the desire for financial gain. As the private economy is driven by the desire to make profit, in the same way innovation is motivated by consistent income that may occur. The applying of innovations in economy brings benefits for all, including for those who do not innovate or do not work in innovative sectors. For a country to have a competitive economy it must produce itself applied knowledge and not to wait to get, to buy innovation from outside. Consequently, the necessary conditions for innovation must be provided: access to performant education, encouraging competition by rewarding achievements, and all these can happen only in a developed society. Romania has made huge efforts after the 2nd World War to overcome the economic backwardness, the lacking element at that time being the owned technology. Later, in '80 the deficient element, but not only in Romania, but in all European communist countries, became creativity, its lack of performance due to the lack of wisdom of the leaders of these countries - lack of wisdom due to poor education, lack of higher and university education - that would have opened their horizons for understanding economic phenomena, for relations between the economic development and social aspects etc. Raising people’s income is possible only by increasing productivity. Always those working in the field of high technology, those having the highest qualification, have had the highest productivity and of course the highest wages. Even now those working in the innovative areas have the highest salaries. For example, those who work at Apple, IBM and Microsoft, have salaries over $ 100,000. Romania should also learn from the experience of other countries that have developed innovative areas, that allow sustainable development not only to

Inverse treatment planning for intensity modulated radiation therapy: CDVH treatment prescription with integral cost function

International Nuclear Information System (INIS)

Carol, M.P.; Nash, R.; Campbell, R.C.; Huber, R.

1997-01-01

Purpose/Objective: Inverse planning is a required approach when dealing with the complexity of variables present in an intensity modulated plan. However, an inverse planning system is only as useful as it is 1) easy to use and 2) predictable in its result. This is especially the case when the target goals and structure limits specified by the user all cannot be achieved. We have previously developed two interfaces for specifying how such conflicts should be resolved when they occur, that, although allowing a range of results to be obtained, still require 'trial and error' on the part of the user and are case dependent. A new method is explored with goals of allowing the desired results to be specified in an intuitive manner and producing predictable results that are case independent. Materials and Methods: Target goals and structure limits are specified by entering partial volume data: goal/limit, % under/over goal/limit, minimum, maximum. This data is converted to a CDVH curve for each target/structure. During the simulated annealing process used to produce an optimized solution, the actual CDVHs are compared to the desired CDVHs after each iteration and a cost is computed for the difference between the curves. For each curve, the cost is proportional to the difference in area between the desired and actual curves. This cost is controlled by three variables: offset (amount of difference before there is any cost), scale (the range the cost can take) and shape (the shape of the curve for difference versus cost). A range of values were explored for these variables in order to determine if predictable trade-offs would be made automatically by the system. The cost function was tested against a range of cases: a highly irregularly shaped intracranial lesion, a head and neck case with three target volumes with different prescriptions, and a prostate cancer. Results: By varying the values assigned to the control variables, a variety of predictable results could be

PowerPoint Use and Misuse in Digital Innovation

DEFF Research Database (Denmark)

Ciriello, Raffaele; Richter, Alexander; Schwabe, Gerhard

2015-01-01

insights into PowerPoint use and misuse through an ethnographically informed field study of employee-driven innovation inside a multinational European banking software provider. Drawing on primary data consisting of 62 interviews, 41 slide decks, and longitudinal series of observations and workshops......PowerPoint continues to permeate the presentation genre in general and business communication in particular. Whereas PowerPoint’s role in organizational practices has caught increasing research interest, research on PowerPoint in digital innovation is still scarce. This study provides comprehensive......, the paper illustrates how deeply entangled PowerPoint is in digital innovation. Our in-depth analysis of PowerPoint use at different innovation process stages suggests that the tool cannot be simply regarded as beneficial or detrimental for innovation. Instead, we provide a revised dialectical examination...

Technical Note: Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation

Science.gov (United States)

Kountouris, Panagiotis; Gerbig, Christoph; Rödenbeck, Christian; Karstens, Ute; Koch, Thomas Frank; Heimann, Martin

2018-03-01

Atmospheric inversions are widely used in the optimization of surface carbon fluxes on a regional scale using information from atmospheric CO2 dry mole fractions. In many studies the prior flux uncertainty applied to the inversion schemes does not directly reflect the true flux uncertainties but is used to regularize the inverse problem. Here, we aim to implement an inversion scheme using the Jena inversion system and applying a prior flux error structure derived from a model-data residual analysis using high spatial and temporal resolution over a full year period in the European domain. We analyzed the performance of the inversion system with a synthetic experiment, in which the flux constraint is derived following the same residual analysis but applied to the model-model mismatch. The synthetic study showed a quite good agreement between posterior and true fluxes on European, country, annual and monthly scales. Posterior monthly and country-aggregated fluxes improved their correlation coefficient with the known truth by 7 % compared to the prior estimates when compared to the reference, with a mean correlation of 0.92. The ratio of the SD between the posterior and reference and between the prior and reference was also reduced by 33 % with a mean value of 1.15. We identified temporal and spatial scales on which the inversion system maximizes the derived information; monthly temporal scales at around 200 km spatial resolution seem to maximize the information gain.

Strategizing on innovation systems

DEFF Research Database (Denmark)

Jofre, Sergio

developments enabling proper policy actions. The concept of innovation systems assumes that flows of technology and information among people, companies and institutions are crucial to the innovative process. At national level, innovation and technical development are the result of a complex set of interactions......This paper explores the strategic context of the implementation of the European Institute of Technology (EIT) from the perspective of National Innovation Systems (NIS) and the Triple Helix of University-Government-Industry relationship. The analytical framework is given by a comparative study...... implemented several action plans and programmes aiming at improving its technological and non-technological innovation capability, its performance in the global context is yet week, particularly if compared to rival economies such as Japan and the US (EC, 2008a). A recent initiative to foster Europe...

Managing collaborative innovation in public bureaucracies

DEFF Research Database (Denmark)

Agger, Annika; Sørensen, Eva

2018-01-01

Public planners are increasingly recruited to manage collaborative innovation processes, but there is hardly any research on how they deal with the tensions they encounter in managing collaborative innovation in the institutional context of a public bureaucracy. Drawing on emerging theories...... of collaborative planning, network management and public innovation, the article develops a taxonomy of tasks related to managing collaborative innovation, identifies potential tensions between these tasks and the institutional logic of public bureaucracies and investigates how these tensions are experienced...

Composite science and technology innovation index

International Nuclear Information System (INIS)

2011-02-01

This book reports the composite science and technology innovation index with the purpose, process, conception and, the method of evaluation. It also indicates the result of composite science and technology innovation index in 2010, which itemizes the result according to resource, activity network, environment and outcome. The last part records analysis of science and technology innovation in Korea and development plan with various analysis.

ICT innovation needs solid relationships | IDRC - International ...

International Development Research Centre (IDRC) Digital Library (Canada)

Working in IDRC's Regional Office for Sub-Saharan Africa, Oteku's research ... and economic factors that shape partnerships for technological innovation in Kenya. ... on scientific and technological innovation in its long-term development plan, ...

Inverse planning anatomy-based dose optimization for HDR-brachytherapy of the prostate using fast simulated annealing algorithm and dedicated objective function

International Nuclear Information System (INIS)

Lessard, Etienne; Pouliot, Jean

2001-01-01

An anatomy-based dose optimization algorithm is developed to automatically and rapidly produce a highly conformal dose coverage of the target volume while minimizing urethra, bladder, and rectal doses in the delivery of an high dose-rate (HDR) brachytherapy boost for the treatment of prostate cancer. The dwell times are optimized using an inverse planning simulated annealing algorithm (IPSA) governed entirely from the anatomy extracted from a CT and by a dedicated objective function (cost function) reflecting clinical prescription and constraints. With this inverse planning approach, the focus is on the physician's prescription and constraint instead of on the technical limitations. Consequently, the physician's control on the treatment is improved. The capacity of this algorithm to represent the physician's prescription is presented for a clinical prostate case. The computation time (CPU) for IPSA optimization is less than 1 min (41 s for 142 915 iterations) for a typical clinical case, allowing fast and practical dose optimization. The achievement of highly conformal dose coverage to the target volume opens the possibility to deliver a higher dose to the prostate without inducing overdosage of urethra and normal tissues surrounding the prostate. Moreover, using the same concept, it will be possible to deliver a boost dose to a delimited tumor volume within the prostate. Finally, this method can be easily extended to other anatomical sites

What drives innovation in nuclear reactors technologies? An empirical study based on patent counts

International Nuclear Information System (INIS)

Berthelemy, Michel

2012-01-01

This paper examines the evolution of innovation in nuclear power reactors between 1974 and 2008 in twelve OECD countries and assesses to what extent nuclear innovation has been driven by economic incentives, political decisions and safety regulation considerations. We use priority patent applications related to Nuclear Power Plants (NPPs) as a proxy for innovating activity. Our results highlight that nuclear innovation is partly driven by the conventional paradigm where both demand-pull, measured by NPPs constructions in the innovating country and in the rest of the world, and technology-push, measured by Research and Development (R and D) expenditures specific to NPPs, have a positive and significant impact on innovation. Our results also evidence that the impact of public R and D expenditures and national NPPs construction on innovation is stronger when the quality of innovation, measured by forward patent citations, is taken into account, and have a long run positive impact on innovation through the stock of knowledge available to innovators. In contrast, we show that political decisions following the Three Miles Island and Chernobyl nuclear accidents, measured by NPPs cancellations, have a negative impact on nuclear innovation. Finally, we find that the nuclear safety authority has an ambivalent effect on innovation. On one hand, regulatory inspections have a positive impact on innovation, one the other hand, regulatory decisions to temporarily close a NPP have an adverse impact on innovation. (author)

Innovative forms of citizen participation

DEFF Research Database (Denmark)

Nyseth, Torill; Ringholm, Toril; Agger, Annika

in practice. Some scholars claim that a reason is due to rigid and formal procedures and that the ways citizen meetings are structured tend to appeal to a limited amount of the population. At the same time, we are witnessing a proliferation in novel and more experimental ways of how citizens and authorities...... interact within the field of urban governance. This is for example seen in urban regeneration projects in Denmark and planning experiments in Norway where we are witnessing more inclusive and bottom-up initiated interactions between public authorities and local actors. The key question in this paper is......: What characterises the new and innovative forms of citizen participation in urban planning in terms of innovation? And in what ways and to what degree is input from these processes fed into the formal planning processes? Theoretically, the paper is inspired by the concept of: ‘planning...

NextGEOSS project: A user-driven approach to build a Earth Observations Data Hub

Science.gov (United States)

Percivall, G.; Voidrot, M. F.; Bye, B. L.; De Lathouwer, B.; Catarino, N.; Concalves, P.; Kraft, C.; Grosso, N.; Meyer-Arnek, J.; Mueller, A.; Goor, E.

2017-12-01

Several initiatives and projects contribute to support Group on Earth Observation's (GEO) global priorities including support to the UN 2030 Agenda for sustainable development, the Paris Agreement on climate change, and the Sendai Framework for Disaster Risk Reduction . Running until 2020, the NextGEOSS project evolves the European vision of a user driven GEOSS data exploitation for innovation and business, relying on the three main pillars: engaging communities of practice delivering technological advancements advocating the use of GEOSS These 3 pillars support the creation and deployment of Earth observation based innovative research activities and commercial services. In this presentation we will emphasise how the NextGEOSS project uses a pilot-driven approach to ramp up and consolidate the system in a pragmatique way, integrating the complexity of the existing global ecosystem, leveraging previous investments, adding new cloud technologies and resources and engaging the diverse communities to address all types of Sustainable Development Goals (SDGs). A set of 10 initial pilots have been defined by the project partners to address the main challenges and include as soon as possible contributions to SDGs associated with Food Sustainability, Bio Diversity, Space and Security, Cold Regions, Air Pollutions, Disaster Risk Reduction, Territorial Planning, Energy. In 2018 and 2019 the project team will work on two new series of Architecture Implementation Pilots (AIP-10 and AIP-11), opened world-wide, to increase discoverability, accessibility and usability of data with a strong User Centric approach for innovative GEOSS powered applications for multiple societal areas. All initiatives with an interest in and need of Earth observations (data, processes, models, ...) are welcome to participate to these pilots initiatives. NextGEOSS is a H2020 Research and Development Project from the European Community under grant agreement 730329.

Key Mechanisms for Employee-Driven Innovation in Governmental Client Organisations

DEFF Research Database (Denmark)

Sørensen, Henrik; Wandahl, Søren; Ussing, Lene Faber

2018-01-01

the mechanisms of organisational trust, innovation safety, organisational practices, cultural settings and the recognition and rewards structure to motivate employees. The decision-making procedures should be transparent especially to the idea-owner and the employees involved, and the implementation and putting...

A framework for inverse planning of beam-on times for 3D small animal radiotherapy using interactive multi-objective optimisation

International Nuclear Information System (INIS)

Balvert, Marleen; Den Hertog, Dick; Van Hoof, Stefan J; Granton, Patrick V; Trani, Daniela; Hoffmann, Aswin L; Verhaegen, Frank

2015-01-01

Advances in precision small animal radiotherapy hardware enable the delivery of increasingly complicated dose distributions on the millimeter scale. Manual creation and evaluation of treatment plans becomes difficult or even infeasible with an increasing number of degrees of freedom for dose delivery and available image data. The goal of this work is to develop an optimisation model that determines beam-on times for a given beam configuration, and to assess the feasibility and benefits of an automated treatment planning system for small animal radiotherapy.The developed model determines a Pareto optimal solution using operator-defined weights for a multiple-objective treatment planning problem. An interactive approach allows the planner to navigate towards, and to select the Pareto optimal treatment plan that yields the most preferred trade-off of the conflicting objectives. This model was evaluated using four small animal cases based on cone-beam computed tomography images. Resulting treatment plan quality was compared to the quality of manually optimised treatment plans using dose-volume histograms and metrics.Results show that the developed framework is well capable of optimising beam-on times for 3D dose distributions and offers several advantages over manual treatment plan optimisation. For all cases but the simple flank tumour case, a similar amount of time was needed for manual and automated beam-on time optimisation. In this time frame, manual optimisation generates a single treatment plan, while the inverse planning system yields a set of Pareto optimal solutions which provides quantitative insight on the sensitivity of conflicting objectives. Treatment planning automation decreases the dependence on operator experience and allows for the use of class solutions for similar treatment scenarios. This can shorten the time required for treatment planning and therefore increase animal throughput. In addition, this can improve treatment standardisation and

Fractal-Based Methods and Inverse Problems for Differential Equations: Current State of the Art

Directory of Open Access Journals (Sweden)

Herb E. Kunze

2014-01-01

Full Text Available We illustrate, in this short survey, the current state of the art of fractal-based techniques and their application to the solution of inverse problems for ordinary and partial differential equations. We review several methods based on the Collage Theorem and its extensions. We also discuss two innovative applications: the first one is related to a vibrating string model while the second one considers a collage-based approach for solving inverse problems for partial differential equations on a perforated domain.

Surge control of the electrically driven centrifugal compressor

NARCIS (Netherlands)

Boinov, K.O.; Lomonova, E.A.; Vandenput, A.J.A.; Tyagounov, A.

2006-01-01

This paper presents a method of the energy efficiency and the operational performance improvement of the electrically driven air compression system. The key innovation of the proposed method-the active surge suppression of the centrifugal compressor by means of the speed control of the electrical

MEASURING THE DEVELOPMENT AND THE USE OF NATIONAL ECONOMY’S INNOVATION CAPACITY

Directory of Open Access Journals (Sweden)

Elena A. Nazarova

2013-01-01

Full Text Available The article is concerned with the problems of measuring the development and the use of national economy’s innovation capacity. It is clear that innovation capacity of the country is the basis for technical and innovative economic development, it is a strategic resource which enables to achieve competitiveness and sustainable economic growth. Effective national policies in the field of innovation-driven development, in turn, are impossible to pursue without an adequate assessment system which will be proposed in this article.

Methods for innovation : the varying role of industrial research in DSM's nitrogen fertilizer business, 1925-1970

NARCIS (Netherlands)

Rooij, van J.W.

2007-01-01

In this article the varying methods firms use to innovate are central in an attempt to balance our understanding of innovation processes. Often, research-driven innovation attracts the most attention, obscuring the contributions of other company functions and of external technology. In this article,

Innovation paths in wind power

DEFF Research Database (Denmark)

Lema, Rasmus; Nordensvärd, Johan; Urban, Frauke

Denmark and Germany both make substantial investments in low carbon innovation, not least in the wind power sector. These investments in wind energy are driven by the twin objectives of reducing carbon emissions and building up international competitive advantage. Support for wind power dates back....... The ‘Danish Design’ remains the global standard. The direct drive design, while uncommon in Denmark, dominates the German installation base. Direct drive technology has thus emerged as a distinctly German design and sub-trajectory within the overall technological innovation path. When it comes to organising...... global interconnectedness of wind technology markets and the role of emerging new players, such as China and India....

Scenarios and innovative systems

International Nuclear Information System (INIS)

2001-11-01

The purpose of this workshop is to present to the GEDEON community the scenarios for the deployment of innovative nuclear solutions. Both steady state situations and possible transitions from the present to new reactors and fuel cycles are considered. Innovative systems that satisfy improved natural resource utilization and waste minimization criteria will be described as well as the R and D orientations of various partners. This document brings together the transparencies of 17 communications given at this workshop: general policy for transmutation and partitioning; Amster: a molten salt reactor (MSR) concept; MSR capabilities; potentials and capabilities of accelerator driven systems (ADS); ADS demonstrator interest as an experimental facility; innovative systems: gas coolant technologies; Pu management in EPR; scenarios with thorium fuel; scenarios at the equilibrium state; scenarios for transition; partitioning and specific conditioning; management of separated radio-toxic elements; European programs; DOE/AAA (Advanced Accelerator Applications) program; OECD scenario studies; CEA research programs and orientations; partitioning and transmutation: an industrial point of view. (J.S.)

Open Innovation at NASA: A New Business Model for Advancing Human Health and Performance Innovations

Science.gov (United States)

Davis, Jeffrey R.; Richard, Elizabeth E.; Keeton, Kathryn E.

2014-01-01

This paper describes a new business model for advancing NASA human health and performance innovations and demonstrates how open innovation shaped its development. A 45 percent research and technology development budget reduction drove formulation of a strategic plan grounded in collaboration. We describe the strategy execution, including adoption and results of open innovation initiatives, the challenges of cultural change, and the development of virtual centers and a knowledge management tool to educate and engage the workforce and promote cultural change.

Inverse random source scattering for the Helmholtz equation in inhomogeneous media

Science.gov (United States)

Li, Ming; Chen, Chuchu; Li, Peijun

2018-01-01

This paper is concerned with an inverse random source scattering problem in an inhomogeneous background medium. The wave propagation is modeled by the stochastic Helmholtz equation with the source driven by additive white noise. The goal is to reconstruct the statistical properties of the random source such as the mean and variance from the boundary measurement of the radiated random wave field at multiple frequencies. Both the direct and inverse problems are considered. We show that the direct problem has a unique mild solution by a constructive proof. For the inverse problem, we derive Fredholm integral equations, which connect the boundary measurement of the radiated wave field with the unknown source function. A regularized block Kaczmarz method is developed to solve the ill-posed integral equations. Numerical experiments are included to demonstrate the effectiveness of the proposed method.

Wave-driven Rotation in Supersonically Rotating Mirrors

Energy Technology Data Exchange (ETDEWEB)

A. Fetterman and N.J. Fisch

2010-02-15

Supersonic rotation in mirrors may be produced by radio frequency waves. The waves produce coupled diffusion in ion kinetic and potential energy. A population inversion along the diffusion path then produces rotation. Waves may be designed to exploit a natural kinetic energy source or may provide the rotation energy on their own. Centrifugal traps for fusion and isotope separation may benefit from this wave-driven rotation.

Wave-driven Rotation in Supersonically Rotating Mirrors

International Nuclear Information System (INIS)

Fetterman, A.; Fisch, N.J.

2010-01-01

Supersonic rotation in mirrors may be produced by radio frequency waves. The waves produce coupled diffusion in ion kinetic and potential energy. A population inversion along the diffusion path then produces rotation. Waves may be designed to exploit a natural kinetic energy source or may provide the rotation energy on their own. Centrifugal traps for fusion and isotope separation may benefit from this wave-driven rotation.

Inversion domain boundaries in GaN studied by X-ray microprobe

Energy Technology Data Exchange (ETDEWEB)

Martinez-Criado, Gema; Tucoulou, Remi; Cloetens, Peter; Sans, Juan Angel; Susini, Jean [European Synchrotron Radiation Facility, Experiments Division, Grenoble (France); Somogyi, Andrea [Experiments Division, Synchrotron SOLEIL, Gif-sur-Yvette (France); Alen, Benito [Microelectronics Institute Madrid, CNM-CSIC, Madrid (Spain); Miskys, Claudio [Walter Schottky Institute, Technical University Munich, Garching (Germany)

2010-02-15

In this study, we report on the application of synchrotron spectro-microscopic techniques to the examination of inversion domain boundaries formed intentionally in a GaN-based lateral polarity heterostructure. Using X-ray sub-microbeams, no evidence of field-driven electrodiffusion effects has been observed on spatially separated inversion domain boundaries. In addition, XANES data around the Ga K-edge strongly supported hexagonal Ga site configurations, suggesting high local order reconstruction. Based on inner-shell excited luminescence on the micrometer scale, the uniform spectral distribution of the radiative centers was discussed. (copyright 2010 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

ABOUT THE TYPES OF REGIONAL INNOVATION CLUSTERS

Directory of Open Access Journals (Sweden)

Aleksandr S. Voronov

2016-01-01

Full Text Available This article describes the main characteristics of innovation clusters, analyzed the develop-ment plans of the cluster areas of growth on the basis of innovation in the various subjects of the federation, it proposed the principle of clustering of the «nuclear» type, dened by problems in the functioning of specialized distributed clusters on the basis of the organi-zational and marketing innovations, proposed scheme for sustainable innovation develop-ment of specialized distributed cluster.

Partners and innovation in American destination marketing organizations

DEFF Research Database (Denmark)

Zach, Florian

2012-01-01

Innovation and interorganizational collaboration have been identified as important elements of competitive tourism strategies. This study proposes a model that relates aspects of organizational settings and collaboration to the success of innovation within the organization. In particular, this st......Innovation and interorganizational collaboration have been identified as important elements of competitive tourism strategies. This study proposes a model that relates aspects of organizational settings and collaboration to the success of innovation within the organization. In particular......, this study focuses on destination marketing organizations (DMOs) as they collaborate with destination businesses to assist in the development of new services in marketing the destination. A national survey among American DMOs indicates that partner collaboration is a significant driver of visitor......-orientated innovation. Specifically, innovation success was found to be driven solely by the development of market-oriented rather than strategyoriented new services, indicating that many of the American DMOs respond to visitor changes at the expense of providing new services that somehow do not fit within current...

Influence of seeing effects on cloud model inversions

Czech Academy of Sciences Publication Activity Database

Tziotziou, K.; Heinzel, Petr; Tsiropoula, G.

2007-01-01

Roč. 472, č. 1 (2007), s. 287-292 ISSN 0004-6361 Institutional research plan: CEZ:AV0Z10030501 Keywords : cloud model * inversions * seeing effects Subject RIV: BN - Astronomy, Celestial Mechanics, Astrophysics Impact factor: 4.259, year: 2007

Citizen empowerment and innovation in the data-rich city

CERN Document Server

Dyer, Mark; Pocatilu, Lorena; Rizzi, Francesco

2017-01-01

This book analyzes the ongoing transformation in the “smart city” paradigm and explores the possibilities that technological innovations offer for the effective involvement of ordinary citizens in collective knowledge production and decision-making processes within the context of urban planning and management. To so, it pursues an interdisciplinary approach, with contributions from a range of experts including city managers, public policy makers, Information and Communication Technology (ICT) specialists, and researchers. The first two parts of the book focus on the generation and use of data by citizens, with or without institutional support, and the professional management of data in city governance, highlighting the social connectivity and livability aspects essential to vibrant and healthy urban environments. In turn, the third part presents inspiring case studies that illustrate how data-driven solutions can empower people and improve urban environments, including enhanced sustainability. The book wi...

Servitization of products as an approach for design-driven innovation

NARCIS (Netherlands)

Baha, S.E.; Groenewoud, A.; Mensvoort, van K.M.

2014-01-01

In this paper we present how the meaning of a product can radically be innovated through add-on services and related service support products to the existing product instead of significantly redesigning it. We explore and investigate this assertion with an action-oriented case study using a research

Supporting FEI through innovation strategy implementation

DEFF Research Database (Denmark)

Aagaard, Annabeth

the ‘predictability’ of the discovery process/FEI ought to be an immediate priority area of investment for Pharma (Duyck, 2003). This paper explores how pharmaceutical front end innovation can be actively supported through the development and implementation of an innovation strategy. The empirical field......-year Ph.D. study the process of identifying, developing and integrating a targeted innovation corporate strategy and divisional action plans is examined and effects and results are evaluated and measured. The findings and key learnings from the study are presented as propositions of how innovation......, Steven & Burly, 2003, and Vernorn et al., 2008) and that innovation strategies play a central role in optimization of innovation (Clark & Wheelwright, 1995; Cottam et al., 2001; Morgan & Berthon, 2008). Cottam et al. (2001) stress that in order to maximize the benefits of previous innovations innovative...

Untangling Spaghetti: How Innovation Changed at Oticon (B)

DEFF Research Database (Denmark)

Stranne, Søren; Maier, Anja; Strebel, Paul

The management team introduced a “cultural revolution” to support the new innovation process, followed by an innovation workflow involving project portfolio planning and road mapping, as well as involvement of marketing and production. Learning objectives: Managing change in the approach to innov...... to support change (application of the Galbraith Star Model)....

Sectoral Innovation Performance in the Wholesale and Retail Trade Sector. Final report. Task 1

NARCIS (Netherlands)

Schaffers, H.; Merino, F.; Rubalcaba, L.; Velsing, E.J.; Giesecike, S.

2010-01-01

The Retail and Wholesale Trade sector (NACE 51, 52 according to the European Statistical Nomenclature) traditionally is considered as a poor innovator. Innovation is seen as driven mostly by applications of information and communication technology (ICT). This report adopts a more comprehensive

Physics-Driven Innovation In the Oil and Gas Industry

Science.gov (United States)

Poitzsch, Martin

2014-03-01

In terms of sheer scale and financial investment and geographical footprint, nothing is bigger than the oil and gas industry. This ``mature industry'' employs a bewildering mix of technologies dating from the 19th century to the 21th. Oil well construction represents one of the largest volume markets for steel tubulars, Portland cement, and high-quality sand. On the other hand, advanced 3D seismic data processing, shaped-charge perforating, and nuclear well logging have consistently driven forward the state of the art in their respective areas of applied science, as much or more so than defense or other industries. Moreover, a surprising number of physicists have made their careers in the oil industry. To succeed at introducing new technology requires understanding which problems most need to be solved. The most esoteric technology can take off in this industry if it honestly offers the best solution to a key problem that is costing millions of dollars in risk or inefficiency. When the right breakthrough solution emerges, the resources to implement it can be almost limitless. However, the prevailing culture is conservative and brutally cost-driven: any cheaper or simpler solution that performs as well will prevail, no matter how inelegant!

Refraction traveltime tomography with irregular topography using the unwrapped phase inversion

KAUST Repository

Choi, Yun Seok

2013-01-01

Traveltime tomography has long served as a stable and efficient tool for velocity estimation, especially for the near surface. It, however, suffers from some of limitations associated with ray tracing and high-frequency traveltime in velocity inversion zones and ray shadow regions. We develop a tomographic approach based on traveltime solutions obtained by tracking the phase (instantaneous traveltime) of the wavefield solution of the Helmholtz wave equation. Since the instantaneous-traveltime does not suffer from phase wrapping, the inversion algorithm using the instantaneous-traveltime has the potential to generate robust inversion results. With a high damping factor, the instantaneous-traveltime inversion provides refraction tomography similar results, but from a single frequency. Despite the Helmholtz-based solver implementation, the tomographic inversion handles irrgular topography. The numerical examples show that our inversion algorithm generates a convergent smooth velocity model, which looks very much like a tomographic result. Next, we plan to apply the instantaneous-traveltime inversion algorithm to real seismic data acquired from the near surface with irregular topography.

The seismic reflection inverse problem

International Nuclear Information System (INIS)

Symes, W W

2009-01-01

The seismic reflection method seeks to extract maps of the Earth's sedimentary crust from transient near-surface recording of echoes, stimulated by explosions or other controlled sound sources positioned near the surface. Reasonably accurate models of seismic energy propagation take the form of hyperbolic systems of partial differential equations, in which the coefficients represent the spatial distribution of various mechanical characteristics of rock (density, stiffness, etc). Thus the fundamental problem of reflection seismology is an inverse problem in partial differential equations: to find the coefficients (or at least some of their properties) of a linear hyperbolic system, given the values of a family of solutions in some part of their domains. The exploration geophysics community has developed various methods for estimating the Earth's structure from seismic data and is also well aware of the inverse point of view. This article reviews mathematical developments in this subject over the last 25 years, to show how the mathematics has both illuminated innovations of practitioners and led to new directions in practice. Two themes naturally emerge: the importance of single scattering dominance and compensation for spectral incompleteness by spatial redundancy. (topical review)

The use of Stress Tensor Discriminator Faults in separating heterogeneous fault-slip data with best-fit stress inversion methods. II. Compressional stress regimes

Science.gov (United States)

Tranos, Markos D.

2018-02-01

Synthetic heterogeneous fault-slip data as driven by Andersonian compressional stress tensors were used to examine the efficiency of best-fit stress inversion methods in separating them. Heterogeneous fault-slip data are separated only if (a) they have been driven by stress tensors defining 'hybrid' compression (R constitute a necessary discriminatory tool for the establishment and comparison of two compressional stress tensors determined by a best-fit stress inversion method. The best-fit stress inversion methods are not able to determine more than one 'real' compressional stress tensor, as far as the thrust stacking in an orogeny is concerned. They can only possibly discern stress differences in the late-orogenic faulting processes, but not between the main- and late-orogenic stages.

Efficient Stochastic Inversion Using Adjoint Models and Kernel-PCA

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