Get it while it's hot: Benefits of a large herbivore exploiting stochastic resource pulses in a time of food scarcity by Samantha P. H. Dwinnell, Larissa T. Beumer, René van derWal, Steve D. Albon, Åshild Ø. Pedersen, Øystein Holand, Brage B. Hansen, R. Justin Irvine, Erik Ropstad, Vebjørn Veiberg, Leif Egil Loe

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Evaluation Model of Eco-Environmental Economic Benefit Based on the Fuzzy Algorithm by Ming Gao, Xiaojing Lu

“…Simultaneously, by evaluating the method using the analytic hierarchy process and fuzzy optimum seeking method, linear comprehensive fuzzy optimization, average comprehensive fuzzy optimization, and variable fuzzy pattern recognition model of optimizing method, the results demonstrate that the method not only can be used to plan optimization but can also provide a good evaluation for each program, the result is reasonable and reliable, and applicable to the comprehensive benefits of water resource management.…”
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Les unités pastorales du Sahel sénégalais, outils de gestion de l’élevage et des espaces pastoraux by Abdrahmane Wane, Véronique Ancey, Basile Grosdidier

“…Even if the pastoral units as tools of the natural resource management have demonstrated their interest in many cases of the first stage of the project in the pastoral area, it seems that, in the present Senegalese context of the agricultural and land sectoral policy of private monopolizing of resources, the systematic general implementation of the pattern of pastoral units throughout the whole country would be likely to threaten the sustainability of the pastoral mobility.…”
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Latest Lessons from the Bankruptcy of State-Owned Enterprises (SOEs) in China: An Interpretative Structural Model (ISM) Approach by Qin Lin, Lin Feng, Chatchai Khiewngamdee, Pingping Li, Xiaofei Ye

“…The results indicate that the root cause of this bankruptcy is the top manager’s mismanagement; the lack of a reasonable strategic positioning and long-term product planning are also important factors of DMTG’s failure, and the problems of human resource management accelerated the bankruptcy. Findings provide lessons to be learned from the bankruptcy for SOEs and offer managerial insight into SOEs.…”
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Canadian Cardiovascular Society and Canadian Thoracic Society Position Statement on Pulmonary Arterial Hypertension by David Langleben, Stephen Archer, John Granton, Andrew M Hirsch, Robert D Levy, Sanjay Mehta, Evangelos Michelakis, Duncan J Stewart

“…The present document is intended to act as an update for the clinician, to provide a template for the initial evaluation of patients, to enable the understanding of current therapeutic paradigms based on approved indications for Canada, to highlight new therapies on the horizon, and to state the positions of the Canadian Cardiovascular Society and the Canadian Thoracic Society on resource management for pulmonary arterial hypertension in Canada.…”
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The Security of Student Information Management System Based upon Blockchain by Mingfeng Yang, Jianying Wang

“…At present, the application of blockchain in China's education field is mainly concentrated in three areas: education resource management, teaching information management, and education basic platform construction. …”
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Connection Between Civil Service and Personal Development by Zsuzsa Darida

“…After a brief review of the historical antecedents a multi-stage process of reforms is mentioned as a result of which the so called closed system of public administration of Hungary became loose in a sense and the stiff margins which hindered the realization of the human resource management functions and presented a parting line between the establishments of the civil service and the competitive sector have been altered in a certain way. …”
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Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network by Yumei Liu

“…In order to improve the effect of digital media art teaching, this study combines the neural network algorithm to carry out the innovation of digital media art teaching resource management and teaching method innovation. The scheme proposed in this study divides the video frame into image blocks and then uses the BDCT transform to convert the video frame from the spatial domain to the frequency domain. …”
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Sistemas de Soporte de Decisión Espacial para Evaluaciones Ecológicas de Paisaje en el Estudio de Viabilidad del Suroeste de la Florida by Leonard Pearlstine, Donald L. DeAngelis, Frank Mazzotti, Tomma Barnes, Michael Duever, Janet Starnes, Marianna D. Conill

“…This publication describes the computer-based tools used for natural resource management that tightly integrate decision theory models with ecological models and Geographic Information Systems (GIS). …”
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Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning by Siyi Qi

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Smart health-care systems for rheumatology by Suneeta Mohanty, Prasant Kumar Pattnaik

“…Smart health care comprises e-health, m-health, electronic resource management, smart and intelligent home services, and medical devices. …”
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What Might I Like My Kids to Learn about Life?: In Search of “Tradition” by Anthony McCann

“…I highlight two common approaches to “tradition” I would like to steer away from: “tradition” as prescriptive-invariance, and “tradition” as resource management. I offer a personal-is-political account of “tradition” to open up analytic opportunities, as I seek to make more appropriate sense of learnings, relationships, and death.…”
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Sistemas de Soporte de Decisión Espacial para Evaluaciones Ecológicas de Paisaje en el Estudio de Viabilidad del Suroeste de la Florida by Leonard Pearlstine, Donald L. DeAngelis, Frank Mazzotti, Tomma Barnes, Michael Duever, Janet Starnes, Marianna D. Conill

“…This publication describes the computer-based tools used for natural resource management that tightly integrate decision theory models with ecological models and Geographic Information Systems (GIS). …”
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Research on crowd flows prediction model for 5G demand by Zheng HU, Hao YUAN, Xinning ZHU, Wanli NI

“…The deployment and planning for ultra-dense base stations,multidimensional resource management,and on-off switching in 5G networks rely on the accurate prediction of crowd flows in the specific areas.A deep spatial-temporal network for regional crowd flows prediction was proposed,by using the spatial-temporal data acquired from mobile networks.A deep learning based method was used to model the spatial-temporal dependencies with different scales.External factors were combined further to predict citywide crowd flows.Only data from local regions was applied to model the closeness of properties of the crowd flows,in order to reduce the requirements for transmitting the globe data in real time.It is of importance for improving the performance of 5G networks.The proposed model was evaluated based on call detail record data set.The experiment results show that the proposed model outperforms the other prediction models in term of the prediction precision.…”
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Florida's Water Resources by Tara Wade, Tatiana Borisova

“…Drought and water shortages in the state have caused urban planners and policy makers to pay closer attention to water use, water supply development, and water resource management. Florida public opinion surveys show that the majority of Floridians rate water as an issue of top importance for the state (UF/IFAS Center for Public Issues Education 2016). …”
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Big data intelligent analysis technology for 5G network by Aihua LI, Xiaobo WU, Chao CHEN, Bin WEI, Yuanyuan SHI

“…5G services are characterized by diversified forms, personalized requirements and extreme experience, which require the network to be able to efficiently perceive business characteristics and meet business requirements.Meanwhile, the introduction of complex technologies such as 5G slicing, edge computing and multi-access collaboration increases the complexity of end-to-end resource management and scheduling.As the network topology center and service convergence point, 5G core network needs to integrate artificial intelligence technology, improve the ability of big data analysis, and realize the automation and intelligence of the network .The research progress of the international organization for standardization in the field of 5G network intelligence was firstly introduced, then the architecture and characteristics of 5G network big data intelligent analysis system was proposed, and the potential three key technologies of network big data intelligent analysis were finally further analyzed.…”
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Investigation of Cooperation Technologies in Heterogeneous Wireless Networks by Zhuo Sun, Wenbo Wang

“…The key technologies supporting the interworking are then investigated, including proposing the Generic Link Layer (GLL) and researching the multiradio resource management (MRRM) mechanisms. This paper elaborates on these topics, and the corresponding solutions are proposed with preliminary results.…”
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Application of Data Mining Technology in Field Verification of Project Cost by Yi Jiang

“…Low degree of visualization, extensive resource management, difficulty in collecting construction data, lagging control work, and separation of cost control from project management have become the main problems of current construction project cost control. …”
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Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning by Zhe WANG, Taoshen LI, Lina GE, Guifen ZHANG, Min WU

“…To solve the problems of high complexity and poor real-time performance caused by traditional wireless resource management based on optimization methods, the energy efficiency maximization problem of sink node and its mathematical model were established for SWIPT-enabled sensor-cloud system, then the deep learning method was introduced to realize the solving and online decision-making with lower complexity and higher real-time performance.The mathematical model was transformed into a high-dimensional solvable form, and then a SWIFT-WMMSE algorithm with iterated forms was designed to solve optimal beamforming vector.The convergence of SWIPT-WMMSE algorithm was proved.Then, based on error propagation of DNN approximation, the scale design criteria for the DNN was deduced, and the approximation was realized through DNN training.Finally, the simulation results verify the effectiveness of SWIPT-WMMSE and DNN algorithm, as well as the approximation effect of DNN and its system performance gains.…”
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Maritime mobile edge computing offloading method based on deep reinforcement learning by Xin SU, Leilei MENG, Yiqing ZHOU, Wu CELIMUGE

“…The strong heterogeneity among the network nodes of the maritime information system brings complex and high-dimensional constraints for optimizing task offloading of the maritime mobile edge computing.The complex and diverse maritime applications also lead to the overload processing of computing tasks in local areas of the maritime network.In order to optimize the task offloading and resource management of maritime network, as well as meet the maritime application service requirements of low-latency and high-reliability, a hierarchical classification method of maritime nodes based on multi-layers attributes and a novel offloading method for maritime mobile edge computing based on deep reinforcement learning were proposed.Compared with conventional methods, simulation results show that the proposed method can effectively reduce the computing task offloading delay of the marine information system, and maintain the robustness of the maritime network with large-scale task flows.…”
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