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A holistic approach for evaluating ecological water allocation in the Yellow River Basin of China

YANG Zhifeng, CUI Baoshan, CHEN He

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1,   Pages 99-106 doi: 10.1007/s11783-007-0019-z

Abstract: sustainable management of water resources on a basin scale require that they should be managed using a holisticIn this study, a holistic methodology called the holistic approach in a basin scale (HABS) is proposedThe holistic approach in a basin scale was then used in the Yellow River Basin and it suggested that
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Holistic integrative medicine: toward a new era of medical advancement

Daiming Fan

Frontiers of Medicine 2017, Volume 11, Issue 1,   Pages 152-159 doi: 10.1007/s11684-017-0499-6

Abstract: To construct a new medical system that is more suitable for human health and disease treatment, holisticintegrative medicine (HIM), which regards the human body as a holistic entity, organically integrates

Keywords： holistic integrative medicine     precision medicine     general practice     medicine    

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A NEW APPROACH TO HOLISTIC NITROGEN MANAGEMENT IN CHINA

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 3,   Pages 490-510 doi: 10.15302/J-FASE-2022453

Abstract:

● Progress on nitrogen management in agriculture is overviewed in China.

Keywords： 4R technology     food chain N management     N use efficiency     soil-crop system     sustainable management    

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Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 221-238 doi: 10.1007/s42524-019-0026-3

Abstract: Understanding of the constitution of client involved decisions is important for future improvements of the processes. Significant decisions in construction projects are reliant on heuristic processes where assumptions are developed from past experience. The paper presents a methodology to collect empirical data in an unstructured manner utilizing participant intuition and experience regarding project level collaboration, a term easily understood by practitioners. Empirical data collected from 6 focus group discussions in Norway and 18 individual interviews in Finland is associated with biases in decision making aimed at bridging the gap of understanding and literature’s insufficient coverage. An analytic framework was developed to suit the diverse emergence of concepts to allow application of psychological principles in a structured manner to empirical data. The paper contributes by identifying types of cognitive and motivational biases in client involved decisions. The biases are found to be alleviated by one another depending on the particular application of the decision. Findings suggest that normative beliefs exist developed from past experience and habitual thinking. A number of emerged biases in this domain are alleviated from normative beliefs which are discussed in this paper.

Keywords： collaboration     construction industry     social science     decision-making     client     cognitive bias     motivational bias     holistic    

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Firm innovation system: Paths for enhancing corporate indigenous innovation capability

Jin CHEN, Ximing YIN, Jizhen LI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 404-412 doi: 10.1007/s42524-020-0116-2

Abstract: internal collaborative FIS, the strategic vision-driven FIS, the open and user-driven FIS, and the holistic

Keywords： innovation-driven strategy     firm innovation system     national innovation system     holistic innovation theory    

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Methodological considerations for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract:

Redesigning cropping and farming systems to enhance their sustainability is mainly addressed in scientific studies using experimental and modeling approaches. Large data sets collected from real farms allow for the development of innovative methods to produce generic knowledge. Data mining methods allow for the diversity of systems to be considered holistically and can take into account the diversity of production contexts to produce site-specific results. Based on the very few known studies using such methods to analyze the crop management strategies affecting pesticide use and their effect on farm performance, we advocate further investment in the development of large data sets that can support future research programs on farming system design.

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

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Resource scheduling techniques in cloud from a view of coordination: a holistic survey Review

Yuzhao WANG, Junqing YU, Zhibin YU,yuzhao_w@hust.edu.cn,yjqing@hust.edu.cn,zb.yu@siat.ac.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 1-40 doi: 10.1631/FITEE.2100298

Abstract: Nowadays, the management of resource contention in shared cloud remains a pending problem. The evolution and deployment of new application paradigms (e.g., deep learning training and s) and custom hardware (e.g., graphics processing unit (GPU) and tensor processing unit (TPU)) have posed new challenges in resource management system design. Current solutions tend to trade cluster efficiency for guaranteed application performance, e.g., resource over-allocation, leaving a lot of resources underutilized. Overcoming this dilemma is not easy, because different components across the software stack are involved. Nevertheless, massive efforts have been devoted to seeking effective performance isolation and highly efficient resource scheduling. The goal of this paper is to systematically cover related aspects to deliver the techniques from the perspective, and to identify the corresponding trends they indicate. Briefly, four topics are involved. First, isolation mechanisms deployed at different levels (micro-architecture, system, and virtualization levels) are reviewed, including GPU multitasking methods. Second, within an individual machine and at the cluster level are investigated, respectively. Particularly, GPU scheduling for deep learning applications is described in detail. Third, adaptive resource management including the latest -related research is thoroughly explored. Finally, future research directions are discussed in the light of advanced work. We hope that this review paper will help researchers establish a global view of the landscape of resource management techniques in shared cloud, and see technology trends more clearly.

Keywords： Coordination     Co-location     Heterogeneous computing     Microservice     Resource scheduling techniques    

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Title Author Date Type Operation

A holistic approach for evaluating ecological water allocation in the Yellow River Basin of China

YANG Zhifeng, CUI Baoshan, CHEN He

Journal Article

Holistic integrative medicine: toward a new era of medical advancement

Daiming Fan

Journal Article

A NEW APPROACH TO HOLISTIC NITROGEN MANAGEMENT IN CHINA

Journal Article

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Journal Article

Firm innovation system: Paths for enhancing corporate indigenous innovation capability

Jin CHEN, Ximing YIN, Jizhen LI

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

Resource scheduling techniques in cloud from a view of coordination: a holistic survey

Yuzhao WANG, Junqing YU, Zhibin YU,yuzhao_w@hust.edu.cn,yjqing@hust.edu.cn,zb.yu@siat.ac.cn

Journal Article