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Academic literature on the topic 'ErNi network'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "ErNi network"

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Knežević, Snežana, Dragan Vukolić, Tamara Gajić, and Miloš Zrnić. "Employment in the modern era through understanding business social networks." Trendovi u poslovanju 10, no. 2 (2022): 6–20. http://dx.doi.org/10.5937/trendpos2202006k.

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The importance of research on the impact of social networks on the employment is an increasingly current topic for research at the global level. LinkedIn is increasingly present by companies, businesses offering jobs as well as people looking for a business opportunity. The aim of the research was to determine the extent to which the LinkedIn network has an impact on employment in the Republic of Serbia and to investigate the attitudes of users of this network. The survey was conducted from January to March 2022 on a sample of 244 respondents, users of the LinkedIn network. SPSS software was used, 26.00, and the obtained data were analyzed by descriptive statistics. To determine the structure of the questionnaire and the percentage of variance, an exploratory factor analysis was performed together with a higher order factor analysis, in order to obtain the desired number of factors. The authors used multiple regression analysis to confirm the significance of the predictors. The results indicate that the greatest importance is in predicting the use of the Linkedin network when hiring workers and their feelings when using this network. The importance of work is reflected in the recognition of the importance of the social network LinkedIn in hiring workers in order to better recruit professionals.
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Anzelewicz, Stefan, Claus Petersen, Piotr Czauderna, and Rene Wijnen. "European Reference Networks: Share, Care, and Cure—Future or Dream?" European Journal of Pediatric Surgery 27, no. 05 (October 2017): 388–94. http://dx.doi.org/10.1055/s-0037-1607057.

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AbstractEuropean Reference Networks (ERNs) are virtual networks that involve healthcare providers across Europe. The aim of ERNs is to tackle complex or rare diseases and conditions that necessitate highly specialized treatment, knowledge and resources.This article summarizes the concept of European Reference Networks in the European Union, legislation and policy behind ERNs from the standpoint of pediatric surgical specialty. There are seven ERNs in which pediatric surgeons are involved, four of which are being discussed, namely ERN PaedCan, eUROGEN ERN, ERN RARE-LIVER and ERNICA. ERNs program is a step towards improving health care quality, reducing access inequalities, and increasing overall medical experience and knowledge but its final impact is yet to be determined.
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Zhang, Zhao, Wei Hong, Hang Ruan, Ying Jing, Shengli Li, Yaoming Liu, Jun Wang, Wenbo Li, Lixia Diao, and Leng Han. "HeRA: an atlas of enhancer RNAs across human tissues." Nucleic Acids Research 49, no. D1 (October 29, 2020): D932—D938. http://dx.doi.org/10.1093/nar/gkaa940.

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Abstract Enhancer RNA (eRNA) is a type of long non-coding RNA transcribed from DNA enhancer regions. Despite critical roles of eRNA in gene regulation, the expression landscape of eRNAs in normal human tissue remains unexplored. Using numerous samples from the Genotype-Tissue Expression project, we characterized 45 411 detectable eRNAs and identified tens of thousands of associations between eRNAs and traits, including gender, race, and age. We constructed a co-expression network to identify millions of putative eRNA regulators and target genes across different tissues. We further constructed a user-friendly data portal, Human enhancer RNA Atlas (HeRA, https://hanlab.uth.edu/HeRA/). In HeRA, users can search, browse, and download the eRNA expression profile, trait-related eRNAs, and eRNA co-expression network by searching the eRNA ID, gene symbol, and genomic region in one or multiple tissues. HeRA is the first data portal to characterize eRNAs from 9577 samples across 54 human tissues and facilitates functional and mechanistic investigations of eRNAs.
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Lavrijssen, Saskia A. C. M., and Saskia A. C. M. Lavrijssen. "Networks on Track: From European Regulatory Networks to European Regulatory ‘Network Agencies’." Legal Issues of Economic Integration 36, Issue 1 (February 1, 2009): 23–55. http://dx.doi.org/10.54648/leie2009003.

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Recent legal and political science literature has become increasingly critical on the accountability of what are generically referred to as European administrative networks, in which national administrative authorities cooperate with the EU institutions in a myriad of formal and informal ways in the development as well as the implementation of secondary EU legislation. This article deals with two specific regulatory networks – the European Energy Regulators Group (ERGEG) and the European Regulators Group for Communications Networks and Services (ERG). In 2007, the Commission tabled legislative proposals aimed at formalising and strengthening the existing networks in the energy and electronic communications sectors by conferring on them independent agency status. The main aim of this article is to identify the legal and political accountability gaps in the present model of European regulatory networks (ERNs) and the proposed European network agencies. The authors conclude that the creation of the European network agencies will hardly lead to the strengthening of the political and legal accountability of the European regulatory coordination between the national regulatory authorities (NRAs) and the Commission. The authors recommend that the European legislator looks beyond traditional mechanisms to secure political and legal accountability; more attention is urgently required to the creation and detailing of mixed or complementary accountability mechanisms, in which representatives of the European and/or national accountability forums have a secure role to play. In this respect, this article puts forward a number of concrete recommendations to respond to accountability issues arising out of the mixed exercise of European and national powers, such as the creation of a mixed parliamentary commission consisting of members of the European parliament and the national parliaments to monitor the activities of the Commission and the European network agencies.
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Wang, Jie, Jun Wang, Wen Fang, and Hongli Niu. "Financial Time Series Prediction Using Elman Recurrent Random Neural Networks." Computational Intelligence and Neuroscience 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4742515.

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In recent years, financial market dynamics forecasting has been a focus of economic research. To predict the price indices of stock markets, we developed an architecture which combined Elman recurrent neural networks with stochastic time effective function. By analyzing the proposed model with the linear regression, complexity invariant distance (CID), and multiscale CID (MCID) analysis methods and taking the model compared with different models such as the backpropagation neural network (BPNN), the stochastic time effective neural network (STNN), and the Elman recurrent neural network (ERNN), the empirical results show that the proposed neural network displays the best performance among these neural networks in financial time series forecasting. Further, the empirical research is performed in testing the predictive effects of SSE, TWSE, KOSPI, and Nikkei225 with the established model, and the corresponding statistical comparisons of the above market indices are also exhibited. The experimental results show that this approach gives good performance in predicting the values from the stock market indices.
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Severin, Emilia. ""SHARE. CARE. CURE." – A EUROPEAN REFERENCE NETWORK FOR RARE INFECTIOUS DISEASES." Romanian Archives of Microbiology and Immunology 80, no. 4 (December 31, 2021): 363–64. http://dx.doi.org/10.54044/rami.2021.04.08.

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Dear editors, Rare diseases are considered as diseases or conditions of public health concern at European level, and a priority to be included in the context of the European Health Union [1]. The European definition of a rare medical disease or condition is established on the low prevalence, meaning less than five affected persons per 10,000 people (not more than one person per 2000 in the European population [2]. According to Orphanet, a European portal for rare diseases and orphan drugs, currently, there are over 6000 known rare diseases, most of them have a genetic background. Some rare diseases are caused by a combination of genetic and environmental factors. Other rare diseases can be non-genetic - there are rare forms of infectious diseases (bacterial or viral), auto-immune diseases, toxic disorders, and rare cancers. In other cases, the cause of rare diseases is still unknown. At EU level has been established an appropriate public health policy and professional care on rare diseases. European Reference Networks (ERN) are part of this public health policy. ERNs are virtual networks involving healthcare providers across Europe. They aim to tackle complex or rare medical diseases or conditions that require highly specialised treatment and a concentration of knowledge and resources [3]. The fundamental principle of ERNs is share, care, and cure. ERNs use specific telemedicine tools and IT solutions, thus the medical knowledge, best practices, and clinical expertise travel rather than the patient. In the European Union, it is estimated that 30 million people are living with a complex, often chronic, and progressive, rare disease. If we are looking for statistics on rare diseases, it is obviously that individual diseases may be rare, but collectively are common. Moreover, a rare disease may be rare in one region, but common in another. The limited number of patients, widely geographically dispersed affected people, lack of scientific knowledge and medical expertise were barriers in providing quality healthcare services for people with rare diseases. The former European Commissioner for Health, and Food Safety, Vytenis Andriukaitis, considered that “no country alone has knowledge and capacity to treat all rare and complex conditions” [4]. So, in 2017, the European Reference Networks launched to enable the exchange of all the available knowledge and expertise on rare diseases between EU State Members. To date, there are 24 thematic networks working on a wide range of rare non-communicable conditions, such as ERN-BOND on bone disorders, ERN-CRANIO on craniofacial anomalies, EndoERN on endocrine conditions, EuroBloodNet on haematological diseases, ERN LUNG on respiratory diseases, etc. Information about all ERNs on rare diseases are available at: https://ec.europa.eu/ health/european-reference-networks/overview_en. The ERNs were developed by the EU and national governments to facilitate improvements in access to diagnosis, treatment, and provision of affordable, high-quality, and cost-effective healthcare for transforming the lives of all patients [4]. In 2020, it was published a study on the opportunity of setting a European Expert Network on Rare diseases linked to Mobility and Globalisation (EURaDMoG). The study funded by the EU aimed to improve healthcare provision with regards to “imported diseases” brought by a mobile population coming from tropical countries [5]. The list of rare communicable diseases linked to mobility and globalisation identified throughout the EURaDMoG study is available at https://op.europa. eu/en/publication-detail/-/publication/0606dc45-5c 3b-11ea-8b81-01aa75ed71a1/language-en (Annex 1, page 54) [5]. Imported diseases are not familiar to European health professionals. Population movements, such as global mobility related to tourism or trade, labour migration, family reunification, and refugees, are linked to the spread and control of communicable diseases. The field has recently been recognized as a new challenge as the rare communicable diseases have been found to be prevalent only in mobile populations coming from tropical countries [6]. Thus, Lindenmeyer et al., 2016, noted the need for additional work to improve the knowledge gap among different categories of health care providers [7]. EURaDMog study made a thorough and context-specific assessment on how successfully would be a European expert Network on rare diseases liked to mobility and globalization. The study considered different scenarios, conducted a comprehensive literature review in the field, organised a consultation workshop, and made an overall 364 feasibility assessment. It is important to acknowledge, that the study compared how diagnosis and treatment of rare diseases, both non-communicable and communicable, are covered by existing ERNs. The results of the study indicated that more than 130 infections were identified. They were considered rare conditions in the EU28 and EEA (European Economic Area) countries and were linked to mobility and globalisation. The study revealed that these rare conditions have no appropriate or widely available diagnostic techniques and treatments [5]. Moreover, rare non-communicable diseases linked to mobility and globalisation are covered by 24 different thematic networks. Focussing on rare communicable conditions, the study analysed the current European Network dealing with such conditions. In Europe, most of expert networks focussing on tropical medicine, travel medicine or parasitology organisations are mainly involved in research and training activities and do not provide health care services. Other networks with some focus on health care provision and patient care essentially improved through exchange of information, continuous education, and training of health professionals such as TROPNET (European Network for Tropical Medicine and Travel Health), EuroTravNet (European Travel and Tropical network of the International Society of travel Medicine), and EVDLabNet (European expert laboratory network for emerging viral diseases) do not cover all rare communicable diseases, are functioning with low resources, and most of them are private [8]. Additionally, most of them are not recognised by national health care systems. The study assessed the establishment of the network, thematic area to be covered, data registry, improving the health care provision, governance, coordination and management of the network, patient care, continuous education, training and development, research activities, multidisciplinary approach, networking and collaboration, funding sources and sustainability. This study concluded that, in EU and EEA, rare communicable diseases in the new context of mobility and globalisation are not sufficiently covered by existing expert networks. The new potential network should be complementary to the current existing networks. In no circumstances, it is not seen as a duplication of current network. The ERN can bring real added value to improve the health care provision of rare communicable diseases [5]. Recommendations of the study should be discussed with Member States policymakers.
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Zhu, Yu-Peng, and Han-Woo Park. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique." Sustainability 14, no. 4 (February 18, 2022): 2326. http://dx.doi.org/10.3390/su14042326.

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Blockchain, as a new innovative technology, has become a popular topic in many fields in recent years. In this study, triangulation was used to investigate the development of knowledge structures. First, scientometric network analysis was employed to identify the cooperation of knowledge networks. It was found that the structure of blockchain knowledge networks in China is relatively more complex and diverse than in South Korea. Since increased teamwork in blockchain is conducive to the creation of high-quality knowledge products, the Chinese government appears to strongly promote diversified cooperation on blockchain technology through centralized policies. Second, machine-learning topic modeling was used to analyze the content exchanged via a collaborative network. As a result, it was found that both countries lacked the societal and commercial aspects of blockchain technology. Finally, we developed a prediction technique based on the Ernie model to automatically categorize the nature of blockchain research.
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Li, Cheng-Wei, and Bor-Sen Chen. "Network Biomarkers of Bladder Cancer Based on a Genome-Wide Genetic and Epigenetic Network Derived from Next-Generation Sequencing Data." Disease Markers 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/4149608.

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Epigenetic and microRNA (miRNA) regulation are associated with carcinogenesis and the development of cancer. By using the available omics data, including those from next-generation sequencing (NGS), genome-wide methylation profiling, candidate integrated genetic and epigenetic network (IGEN) analysis, and drug response genome-wide microarray analysis, we constructed an IGEN system based on three coupling regression models that characterize protein-protein interaction networks (PPINs), gene regulatory networks (GRNs), miRNA regulatory networks (MRNs), and epigenetic regulatory networks (ERNs). By applying system identification method and principal genome-wide network projection (PGNP) to IGEN analysis, we identified the core network biomarkers to investigate bladder carcinogenic mechanisms and design multiple drug combinations for treating bladder cancer with minimal side-effects. The progression of DNA repair and cell proliferation in stage 1 bladder cancer ultimately results not only in the derepression of miR-200a and miR-200b but also in the regulation of the TNF pathway to metastasis-related genes or proteins, cell proliferation, and DNA repair in stage 4 bladder cancer. We designed a multiple drug combination comprising gefitinib, estradiol, yohimbine, and fulvestrant for treating stage 1 bladder cancer with minimal side-effects, and another multiple drug combination comprising gefitinib, estradiol, chlorpromazine, and LY294002 for treating stage 4 bladder cancer with minimal side-effects.
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Marinello, Diana, Ilaria Galetti, Dorica Dan, Ammi Sundqvist Andersson, Silvia Aguilera, Simone Louisse, Lenja Wiehe, Anne-Laure Aslanian, and Ines Hernando Martin. "Patient engagement in healthcare: a preliminary set of measures to evaluate patient engagement in the European Reference Networks." Rare Disease and Orphan Drugs Journal 1, no. 1 (2022): 2. http://dx.doi.org/10.20517/rdodj.2021.001.

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Aim: The European Reference Networks (ERNs) provide clinicians and patients the opportunity to collaborate at EU level to improve diagnosis, care and treatment for people living with rare and complex conditions. However, building a partnership culture to systematically involve patients in ERN activities and decision-making structures is challenging, partly because the role of patient representatives and the value of this collaboration are not always understood. The objective of this project was to develop an evaluation framework to assess the impact of patient engagement in the ERNs and to provide evidence on the value of patient-clinician partnership. Methods: The evaluation was developed by EURORDIS and patient representatives involved in the ERNs (ePAG advocates) through a participatory and iterative process. The work was organised in three different phases: (1) clarify roles and identify common goals for ePAG advocates’ engagement in the ERNs; (2) define a set of measures; and (3) test the measures in three different ePAGs (European Patient Advocacy Groups). Results: The project allowed developing a common understanding among ePAG advocates of their role and goals in the ERNs and defining a patient-driven evaluation framework to assess their level of engagement in the ERNs’ activities and how effectively they were working to fulfil their role. Conclusion: Engaging with ERN clinicians to refine the framework would probably render it more relevant to the reality and priorities of the specific ERNs and more valuable as a tool to build a strong partnership culture. Such an evaluation framework could be integrated into the ERNs’ quality improvement system to ensure that the networks’ activities are driven by and remain responsive to patients’ needs.
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Hu, John Wei-Shan, Yi-Chung Hu, and Ricky Ray-Wen Lin. "Applying Neural Networks to Prices Prediction of Crude Oil Futures." Mathematical Problems in Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/959040.

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The global economy experienced turbulent uneasiness for the past five years owing to large increases in oil prices and terrorist’s attacks. While accurate prediction of oil price is important but extremely difficult, this study attempts to accurately forecast prices of crude oil futures by adopting three popular neural networks methods including the multilayer perceptron, the Elman recurrent neural network (ERNN), and recurrent fuzzy neural network (RFNN). Experimental results indicate that the use of neural networks to forecast the crude oil futures prices is appropriate and consistent learning is achieved by employing different training times. Our results further demonstrate that, in most situations, learning performance can be improved by increasing the training time. Moreover, the RFNN has the best predictive power and the MLP has the worst one among the three underlying neural networks. This finding shows that, under ERNNs and RFNNs, the predictive power improves when increasing the training time. The exceptional case involved BPNs, suggesting that the predictive power improves when reducing the training time. To sum up, we conclude that the RFNN outperformed the other two neural networks in forecasting crude oil futures prices.
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Dissertations / Theses on the topic "ErNi network"

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Dhahak, Amal. "Modélisation chimique détaillée de la combustion de la biomasse dans les appareils de chauffage domestique en vue de réduire leurs émissions polluantes." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0017.

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Cette thèse vise à comprendre et à modéliser les mécanismes chimiques de combustion de la biomasse dans les appareils de chauffage domestiques afin de réduire les émissions polluantes. Dans ce but, un modèle global de combustion a été développé. Ce modèle considère à la fois une cinétique chimique détaillée et le transfert thermique. La première partie de ce travail a consisté à développer un modèle cinétique permettant de représenter la dévolatilisation de la biomasse ainsi que les réactions secondaires de combustion en phase gazeuse des espèces émises au cours de la pyrolyse primaire. Selon le modèle cinétique de pyrolyse utilisé, la biomasse est caractérisée comme étant un mélange de trois constituants dits de référence : la cellulose, l’hémicellulose et la lignine. Pour connaître les limitations du modèle étudié, il a été testé sur plusieurs cas de pyrolyse primaire. Un modèle de pyrolyse secondaire et de combustion a été ajouté au modèle représentant la pyrolyse primaire. Ce modèle secondaire est composé de mécanismes d'oxydation pour les produits formés par la pyrolyse, comme l’hydroxyacétaldéhyde, le furane et ses dérivés, l’anisole, le furfural, le gaïacol… Ce modèle secondaire, ainsi que le nouveau modèle global développé, BioPOx (Biomass Pyrolysis and Oxidation), ont été testés sur un grand nombre de points expérimentaux. Dans une seconde partie, le modèle cinétique considérant à la fois la pyrolyse primaire et le craquage thermique des espèces gazeuses émises, est couplé à un modèle de transfert de chaleur simplifié afin de modéliser la combustion d’une bûche de bois dans un poêle représenté par un réseau de réacteurs chimiques idéaux. Le modèle global, couplant les parties cinétique et thermique, permet de reproduire des résultats expérimentaux sur des émissions gazeuses (CO, CO2, NO) obtenues dans un poêle à bois
This thesis aims to understand and model the chemical mechanisms of biomass combustion in domestic heating appliances to reduce polluting emissions. For this purpose, a global model of combustion has been developed. This model considers both detailed chemical kinetics and heat transfer. The first part of this work consisted of developing a kinetic model to represent the devolatilization of biomass as well as the secondary gas phase combustion reactions of the species emitted during primary pyrolysis. According to the used kinetic model of pyrolysis, the biomass is characterized as a mixture of three so-called reference constituents: cellulose, hemicellulose and lignin. To know the limitations of the studied model, it has been tested on several cases of primary pyrolysis. A model of secondary pyrolysis and combustion was added to the model representing primary pyrolysis. This secondary model is composed of oxidation mechanisms for products formed by pyrolysis, such as hydroxyacetaldehyde, furan and its derivatives, furfural, anisole, guaiacol ... This secondary model, as well as the new global model developed BioPOx (Biomass Pyrolysis and Oxidation) have been tested on a large number of experimental results. In a second part, the kinetic model considering both the primary pyrolysis and the thermal cracking of the emitted gaseous species, is coupled to a simplified model of heat transfer to model the combustion of a log of wood in a stove represented by a network of ideal chemical reactors. The global model, coupling the kinetic and thermal parts, reproduces experimental results on gaseous emissions (CO, CO2, NO) obtained in a wood stove
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Lopez-Pacheco, Dino-Martin. "Propositions for a robust and inter-operable eXplicit Control Protocol on heterogeneous high speed networks." Lyon, École normale supérieure (sciences), 2008. http://www.theses.fr/2008ENSL0459.

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Dans cette thèse, nous avons montré que les protocoles basés sur l'assistance de routeurs fournissant aux émetteurs un taux d'émission explicite (explicit rate notification-ern) partagent mieux les ressources du réseaux entre les utilisateurs et évitent mieux la congestion que les protocoles de bout-en-bout (comme les protocoles basés sur tcp). Cependant, l'absence d'interopérabilité des protocoles ern (par ex. Xcp : explicit control protocol) avec les technologies actuelles empêche leur mise en place dans les réseaux. Nos travaux ont abouti à un ensemble de solutions qui fournissent de l'équité inter-protocolaire, de la robustesse face aux pertes de données et l'interopérabilité entre les équipements ern et les équipements réseaux ip classiques. Cette thèse a jeté les bases pour pouvoir déployer les protocoles ern dans des réseaux hétérogènes à haut débit où le transfert de grande quantité des données est nécessaire
[The congestion control protocols aim to fairly share the network resources between users and avoid congestion. In this thesis, we have shown that the routers-assisted protocols providing explicit rate notification (ern protocols) accomplish those goals better than end-to-end protocols (e. G. Tcp-based protocols). However, ern protocols, like the explicit control protocol (xcp), are not interoperable with current technologies. Thus, ern protocols cannot be gradually deployed in current networks. Our research in this thesis resulted in a set of solutions that allow ern protocols to be tcp-friendly, robust against losses of routers informations and interoperable with non-ern networks equipments in a wide range of scenarios. Thus, we provided the basis for creating an ern protocol able to be gradually deployed in current heterogeneous high speed networks, where users frequently move very large amount of data]
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Coelho, Sandra Rafaela da Madalena Patrão. "As redes sociais pessoais de idosos institucionalizados em ERPI." Master's thesis, 2018. http://hdl.handle.net/10071/18749.

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A presente investigação é desenvolvida com o objetivo de compreender o impacto da institucionalização, dos idosos, nas suas redes sociais pessoais. Neste contexto, utilizamos uma abordagem qualitativa, orientada pelo método indutivo, assente num método descritivo simples. Para a recolha de dados, foram realizadas entrevistas semi-estruturadas. A amostra deste estudo é constituída por 15 idosos integrados na Lati - Liga dos Amigos da Terceira Idade; no Lar Nossa Senhora da Assunção da Santa Casa da Misericórdia de Alter do Chão; e na Associação e Centro de Apoio à Terceira Idade de Santo Estevão. Constatámos que a institucionalização tem, efetivamente, impacto nas redes sociais pessoais dos mais velhos. Esta alteração de residência tem efeito na construção de novas relações. Contudo, verificámos que os contactos que os idosos mantêm com os elementos que já pertenciam à sua rede antes da institucionalização, revelam-se, por vezes, menos frequentes. É neste quadro, que surge o Serviço Social, uma vez que lhe é exigida a defesa dos direitos dos idosos, bem como a promoção da participação dos mesmos, a sua autonomia e poder de decisão.
This researched was developed with the goal of understanding the impact of the institutionalization of the elderly on their personal social networks. In this context, we use a qualitative approach, guided by the inductive method, based on a simple descriptive method. For data collection we conducted semi-structured interviews. The sample for this study is constituted by 15 elderly people integrated in LATI - Liga dos Amigos da Terceira Idade; in Lar Nossa Senhora da Assunção da Santa Casa da Misericórdia de Alter do Chão; and the Associação e Centro de Apoio à Terceira Idade de Santo Estevão. We have verified that institutionalization has an impact on the integrity of social networks of the elderly. This change of residence has an effect on the construction of new relationships. However, we found that the relationships the elderly maintain with the members that already belonged to their group before institutionalization, are sometimes less frequent. It is in this context that the Social Work emerges, since it is required to defend the rights of the elderly, as well as promoting their participation, their autonomy and decision-making power.
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Nguyen, Huy Huynh. "A neural fuzzy approach to modeling the thermal behavior of power transformers." Thesis, 2007. https://vuir.vu.edu.au/1495/.

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This thesis presents an investigation and a comparative study of four different approaches namely ANSI/IEEE standard models, Adaptive Neuro-Fuzzy Inference System (ANFIS), Multilayer Feedforward Neural Network (MFNN) and Elman Recurrent Neural Network (ERNN) to modeling and prediction of the top and bottom-oil temperatures for the 8 MVA Oil Air (OA)-cooled and 27 MVA Forced Air (FA)-cooled class of power transformers. The models were derived from real data of temperature measurements obtained from two industrial power installations. A comparison of the proposed techniques is presented for predicting top and bottom-oil temperatures based on the historical data measured over a 35 day period for the first transformer and 4.5 days for the second transformer with either a half or a quarter hour sampling time. Comparisons of the results obtained indicate that the hybrid neuro-fuzzy network is the best candidate for the analysis and prediction of the power transformer top and bottom-oil temperatures. The ANFIS demonstrated the best comparative performance in temperature prediction in terms of Root Mean Square Error (RMSE) and peak error.
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Books on the topic "ErNi network"

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An Online Visit to Europe (Hovanec, Erin M. Internet Field Trips.). PowerKids Press, 2001.

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An Online Visit to Asia (Hovanec, Erin M. Internet Field Trips.). PowerKids Press, 2001.

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An Online Visit to Antarctica (Hovanec, Erin M. Internet Field Trips.). PowerKids Press, 2001.

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Book chapters on the topic "ErNi network"

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Persons, Brandon, Prateek Jain, Christopher Chagnon, and Soussan Djamasbi. "Designing the Empathetic Research IoT Network (ERIN) Chatbot for Mental Health Resources." In HCI in Business, Government and Organizations, 619–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77750-0_41.

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Healy, Guy. "Erin Good, Taylor Litton-Strain, and Fantasy-Noir Web-Pilot, Jade of Death." In The Production of Global Web Series in a Networked Age, 180–97. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003182481-8.

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Biermann, Felix, and Berthold Rittberger. "Balancing Competence and Control." In The Governor's Dilemma, 180–202. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855057.003.0009.

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In recent decades the EU has witnessed a remarkable rise in the number of specialized regulatory agencies and European regulatory networks (ERNs). It is often assumed that agencies and ERNs are mutually exclusive instruments of indirect governance. As this chapter argues, however, they are often used in combination to better address competence–control tradeoffs. The chapter illustrates this argument with two case studies of regulatory policymaking in the EU. First, in the case of aviation safety, the EU and its member states created a new agency, the European Aviation Safety Agency, to overcome a control deficit which had hampered its ability to rein in existing regulatory networks. Second, in the field of food safety, the EU as collective governor sought to overcome the competence deficit of its intermediary, the European Food Safety Agency, by enlisting a second intermediary: the “Focal Point Network” (an ERN).
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Schaaf, Jannik, James Chalmers, Heymut Omran, Petra Pennekamp, Olivier Sitbon, Thomas O. F. Wagner, Abilio Reis, Dennis Kadioglu, and Holger Storf. "The Registry Data Warehouse in the European Reference Network for Rare Respiratory Diseases – Background, Conception and Implementation." In German Medical Data Sciences: Bringing Data to Life. IOS Press, 2021. http://dx.doi.org/10.3233/shti210049.

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Rare lung diseases affect 1.5–3 million people in Europe while causing bad prognosis or early deaths for patients. The European Reference Network for Respiratory Diseases (ERN-Lung) is a patient centric network, funded by the European Union (EU). The aims of ERN-LUNG is to increase healthcare and research regarding rare respiratory diseases. An initial need for cross-border healthcare and research is the use of registries and databases. A typical problem in registries for RDs is the data exchange, since the registries use different kind of data with different types or descriptions. Therefore, ERN-Lung decided to create a new Registry Data-Warehouse (RDW) where different existing registries are connected to enable cross-border healthcare within ERN-Lung. This work facilitates the aims, conception and implementation for the RDW, while considering a semantic interoperability approach. We created a common dataset (CDS) to have a common descriptions of respiratory diseases patients within the ERN registries. We further developed the RDW based on Open Source Registry System for Rare Diseases (OSSE), which includes a Metadata Repository with the Samply.MDR to unique describe data for the minimal dataset. Within the RDW, data from existing registries is not stored in a central database. The RDW uses the approach of the “Decentral Search” and can send requests to the connected registries, whereas only aggregated data is returned about how many patients with specific characteristics are available. However, further work is needed to connect the different existing registries to the RDW and to perform first studies.
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"Ernai Ah Zhen: A Story about the Construction of Subjectivity in the Virtual World." In Media and Society in Networked China, 165–94. BRILL, 2017. http://dx.doi.org/10.1163/9789004355149_008.

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Parsons, Thomas D., and Robert L. Kane. "Computational Neuropsychology." In The Role of Technology in Clinical Neuropsychology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190234737.003.0025.

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Other chapters in this volume focus on the use of technology to enhance and expand the field of neuropsychology. Some of the enhancements are natural outgrowths of trends present in society at large and involve updating the assessment process to make it more efficient and reliable. Computerized approaches to assessment frequently use off-the-shelf technology, in some cases to administer traditional style tests, while in others to present tasks not readily accomplished with test booklets and paper (see Section II of this book on “Beyond Paper-and-Pencil Assessment”). The computer has also permitted the implementation of new testing paradigms such as scenario-based assessment and the use of virtual reality (see Section III: “Domain and Scenario-based Assessment”). The use of the computer has also made possible efforts to expand access to care through the development of efficient test batteries and telemedicine-based assessment (see Chapter 5 on Teleneuropsychology). The use of computers, the ability to implement life-like scenarios in a controlled environment, and tele­medicine will also expand available approaches to cognitive remediation with cellphones augmenting the ability of individuals to engage in self-monitoring. The integration of neuroimaging into the assessment process was clearly presented in the chapter in this volume by Erin Bigler (see also Section IV of this book on “Integrating Cognitive Assessment with Biological Metrics”). An addi­tional role for neuroimaging is the use of its ever evolving techniques and methods to model neural networks and to refine our understanding of how the brain works and how best to conceptualize cognitive domains. Both neuroimaging to model neural networks and the role of neuroinformatics will be discussed in the remaining sections of this chapter on some prospects for a future computational neuropsychology. Technological advances in neuroimaging of brain structure and function offer great potential for revolutionizing neuropsychology (Bilder, 2011). While neuroimaging has taken advantage of advances in computerization and neuroinfor­matics, neuropsychological assessments are outmoded and reflect nosological attempts at classification that occurred prior to contemporary neuroimaging (see Chapter 13 in this volume).
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"[50, 30, 0.014465 0.01 75 In the formula, t is the target probability 5 [ 0 5 ] 0, 30, 0.014465 0.01 75 distr Iinbutth io e n , for a m nd ula, y t is is t he th e ac ttauragletpprroobbaabb il iilt it y y [ 530] , 15, 0.016332 0.01 50 d d is is tr tr ib ib u u ti t o io n n . , and y is the actual probability 3 [ 0 3 ] 0, 15, 0.016332 0.01 50 dis T tr hie bu a ti iomn . of network training is to adjust the 30] weig Th testaoim in oifminzee tw th oerkc ro tr sasine in t g ro p is yftuoncatd io ju n s , t an th de2.2.6 The deployment th w e ei wgehitgshttoam dj iunsit mi eznettfhoerm cr uolsas is enatsro fo plylofw un in c g tion, and A2s .2 s . h 6 ow Th neidneFpilgouyrmee5n , t each RBM is connected to get the weight adjustm ent formula is as following th Aessahuo to w -n en icnoFdiegrurnee5u , raelacnhetRwBoM rk. isTchoennw ec etiegdhttsogoeft trhee -tr aau in to in -e g nc woid ll ersen rv eeu ral stnheetw in oirtk ia . lTw he igw ht esigohftsthoef apurteo --t ern ai cnoidnegrwnielulrsael rv n e tw as o r th kesitnoitp ia alrtw ic e ip ig a h te ts in o f th th e e wahuo to le -e nectowdoerrknoefufrianle -n teutnw in o g rk t s rai tnoinpga . rticipate in the Inclu ding whole network of fine-tuning training. Including." In Network Security and Communication Engineering, 300–302. CRC Press, 2015. http://dx.doi.org/10.1201/b18660-76.

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Brazel, Anthony J., and Andrew W. Ellis. "The Climate of the Central Arizona and Phoenix Long-Term Ecological Research Site (CAP LTER) and Links to ENSO." In Climate Variability and Ecosystem Response in Long-Term Ecological Research Sites. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195150599.003.0016.

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The Central Arizona and Phoenix LTER (CAP LTER) is one of two urban LTERs in the world network (Grimm et al. 2000; see http://caplter.asu.edu). Many LTER sites display a detectable climatic signal related to the El Niño–Southern Oscillation (ENSO) phenomenon (Greenland 1999). The purpose of this chapter is twofold: (1) to provide some insight into the role of the tropical Pacific Ocean as a driver of several climatic (and thus, ecologically related) variables in the CAP LTER location of central Arizona, and (2) to suggest the linkages of ENSO events to selected ecosystem processes near and within the geographical region of CAP LTER (figure 7.1a). From past studies, it is clear that the seasonal and annual climate regimes of the southwestern United States, particularly water-related parameters, are linked to the periodicities and anomalies of what is known as the Multivariate ENSO Index (MEI) and Southern Oscillation Index (SOI) (e.g., Wolter 1987; Molles and Dahm 1990; Redmond and Koch 1991; Woolhiser and Keefer 1993; Wolter and Timlin 1993; Cayan and Redmond 1994; Redmond and Cayan 1994; Cayan et al. 1999; Redmond and Cayan 1999; Simpson and Colodner 1999; Redmond 2000; and Mason and Goddard 2001). In Arizona, and especially in the CAP LTER region, precipitation is bimodal during the year with peaks in winter (mostly midlatitudederived frontal storms) and in mid-to-late summer, mostly in the form of convective thunderstorms during the North American monsoon season. Recent studies show a strong connection between ENSO and winter moisture in Arizona, such that it is even possible to forecast impending conditions in advance (Pagano et al. 1999). These studies have established relationships between the climate of the southwest ern United States and ENSO by demonstrating monthly and daily timescale effects on inputs of moisture and resultant streamflow in Arizona (e.g., Molles and Dahm 1990; Cayan et al. 1999; and Simpson and Colodner 1999). The synoptic- and largescale circulation patterns associated with anomalies of MEI/SOI in the southwestern United States provide additional insight into regional forces that drive the CAPLTER climate (e.g., Redmond and Koch 1991). Generally, when the warm phase of the tropical Pacific Ocean occurs (El Niño, thus negative SOI, positive MEI), across the Southwest precipitation is generally anomalously high.
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"m of ona itoring is therefore an important component as US$5,while the importin real-ti nmyedm ro oungih to t rin p g re p m ar eetdhnoedsssuss tr eadt eg iines. Ke TnhyeatbiamgesofasmhaiigzheadsurU in S g $ 2a0dw ro g price fo it uhg in htapsepra io rdtihse so sa mmee ­ d n (d eip sc eunsdselda rg aeb ly ovoen ). th Seom raingauge network design three months. Such drought industries omftuwsotb to eisnucclhudreedc or sdas te l h li atvee -d enro iv t ed e rece be erna in cfaanltl me libr eas te ti t m ho a ds have discouraged. rainfall es d fo te r s , pob in utt8dFiiangannocsiiasl , prreesdoiucrtcieosn , faonrdddrroouugghhttpm re opnairteodrn in es g s , t to hreingg lo bmaettih mates in Kenya. Other drought moni­ are limited in Kenya. Kenya has, however, 3 Efficient lccoloi ds de mmm at uenc pend ic eanttiroeson (e . cgl . i , mEaN te SpO ro ducts from invested heavily in meteorological training, edu­ for the collection, dis n facilities ar feo re re ca qsutisr ) e . d9cTa im tio e n ly , an a d va bia la si bcilfia ty c ilit o ie f s. drought products and ndeattwa/ o in rk fo irsm ation. Th seemaivnaaitliaobn le , acnodmem xc uhnaincgae ti oonfm ser e v te ic oerso lo fr g o ic m al g se lo rv bia ce lsc in li mtahtee re cgeinotn re s r el Myaonny4pRreespeaarrecdh nes nsoatndadeeaq rl uyaw te arfnoirng an syesftfeem ct . ive drought tdhreo ug d h ev tea lo dpve is d o ri w es orflrdo . m Su th cehcp li r m od at uectcsenitnrcelsudoefadcrto io ungsh . t pr ios ce re s q se usira ed to understand the complex ENSO advisories and global circulation data. very limi R te edso in urK ce esnyfaon . rdm th e e te ir orsoolcoigoieccaolnroem se iacrcihntaerre ­ S tim uc e h . iTnh fo erm in a st t a io ll n a ti is onsoomfetth im eensewnoitntaecrcneestsifbalceilo it ny5D re rqouu ir geht sp m ec oinailtoe ri qnugiyp diagnosis, and predic at the Kenya Meteorological Department will facilities including s ment and high techno t lo io gny 10 A sig nne if diu ca cnattleyd im an pdrowveellt -h iinsfoprrm ob eldem pu . blic is likely to 6 p Sk uitle le rs d , hwuhm ich are limit peedciianlK in esnty ru a m . ents and com­ rceastp io onndanbdetttrearin to in agnyofntehweppoulbilciyc, / mmeatnhaogdesr . s , Eadnud ­ tHhue ma mnulrte id so iasn ci prleisnoaurryc es di a m re e n required in handling policy makers is an important component of any ological conc uerpctessof fo drrohuagnhdtliansg io n th seo ba f s ic drm ou e ghts. drought preparedness strategy. This has not been However, they need speci re available in Ke tneyoa r­ . coopm tim pl u ex mmiunl ti K di esncy ip a l , ineasrpyed ci raolu ly ghitn in ltiegrhatc ti oofnst . he ecfofm ec p ti o vely address the co amltprlaeixn in mgutlo ti d b is eciapb li lneatroy 11 iSnttrruocdtuuc ra ed laadnjeuw st m di e m nt eno si fon th ientW he orrledgiB on ansk in ce haist7M ba iss ic mcahnaeln le ts that could be required to address the discourages government subsidy, which has been a mation n ag henm ge esntofadn ro dugahbtupsree pa orfeddnreo ss ave u . ght infor­ pmraojvoirdipnogst-bdarso ic u gh fo toedmeirng en tchye re dlr ie ofug st hrta -t setg ri yckfeonrpdo ro li u ti gch al t , in afnod rm baete io nnohbasse rved in some cases when region. The method was adopted during the citizens, dono rs o , ther gai b ns e en byu se sdom fo ereicnodn iv oim du ic al , A dr cotuognht28ofJ1 an 9u9a6r -y 71b9y9i7n . v W ok iitnhgou th teem Pu e b rg li ecnSceycfuoro it dyh general public. Inansdomoe th ecrasseast , tdhreouegxh pe tnasdeviosfortiheesrceolm ie mfoadnid ti es g ov in e rn t m he e nt dr souubgsh id t-ys tr o ic n k en b asi rce gi foonosd , cmo av memboedein ti eas bu an sed through hoarding of essential including provision for subsidised seed prices when aft aerrkertecweiitvh in in gaidnffeow int rmm rod a o ti n u th ci sng at thhiekm ed bpa ri cckes to the the rains started, the impacts of the 1996-7 experience drought with oinn that one countr . yEw ve il n l dro Iutgm ht aywobueldcohnacvleubdeeedntvheartyadle th va osutg at h in K g. enya has cdoounnotrrsyhatvoebeexepn known to caon fe ti wnumepornetshssi , ngso th maetm an i tt ieneteu rm nd in eirs te th ri ealod ff iiscaes te orfm th aenapgreem sid eenntt, co a m nd ­ fmuinndisma fo l prices boyrtgu th ar e a ir n te gerianigntrheesye rv weis ll p at r ov viedreyvm id aenyreo le th va enrtm se in citsotrearliadl ro su ubgchotm in m fo it rtm ee ast io th nattoptrhoe ­ export pr ricgerafionra im b p ag oro ts f m in aiczaese is o so f m dr e o ti umgehstsa . s T lo hweiann te irnm te in girsa te te r d ia lna co tu m ra mlitdtiesea , stK er epnryeapadroeedsnensostphoa li vcey." In Droughts, 96. Routledge, 2016. http://dx.doi.org/10.4324/9781315830896-65.

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Conference papers on the topic "ErNi network"

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Drennan, Scott A., Chen-Pang Chou, Anthony F. Shelburn, Devin W. Hodgson, Cheng Wang, Chitralkumar V. Naik, Ellen Meeks, and Hasan Karim. "Flow Field Derived Equivalent Reactor Networks for Accurate Chemistry Simulation in Gas Turbine Combustors." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59861.

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A method has been developed in which the flow field predicted by Computational Fluid Dynamics (CFD) is automatically condensed into an Equivalent Reactor Network (ERN), composed of well stirred reactors, allowing rapid and accurate analysis of emissions. This paper presents the effectiveness of utilizing an ERN that is a direct abstraction of the computational flow field for combustion analysis. The CFD results are divided into reactors using various filters on flow-field variables to construct an ERN that represents the 3-D combustor flow field and flame structure. Detailed kinetics can then be used in ERN simulations to analyze effects of fuel composition and operating condition on emissions. The technique is applied to a commercial industrial gas turbine combustor fuel injector and compared against experimental emissions results. Sensitivity of emissions predictions to different parameters in the network extraction is also presented. Parameter variations in fuel flow rate are applied to the ERN to obtain relative impacts of fuel-air ratio on the emissions of NOx without requiring new CFD solutions. This automatic approach has been found to reduce the time required to construct and analyze flow field derived ERNs with detailed chemistry by 90%. A local calculation of Damko¨hler number, important for stability analysis, is also presented. This calculation also uses abstracted information from the CFD flow field and detailed-kinetics simulations for more accurate, cost-effective analysis.
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Li, Junjie, and Hui Cao. "Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model." In 6th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120203.

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The classification of news headlines is an important direction in the field of NLP, and its data has the characteristics of compactness, uniqueness and various forms. Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed. Use ERNIE to extract the lexical, semantic and contextual feature information at the bottom of the text, generate dynamic word vector representations fused with context, and then use the BiLSTM-AT network channel to secondary extract the global features of the data and use the attention mechanism to give key parts higher The weight of the DPCNN channel is used to overcome the long-distance text dependence problem and obtain deep local features. The local and global feature vectors are spliced, and finally passed to the fully connected layer, and the final classification result is output through Softmax. The experimental results show that the proposed model improves the accuracy, precision and F1-score of news headline classification compared with the traditional neural network model and the single-channel model under the same conditions. It can be seen that it can perform well in the multi-classification application of news headline text under large data volume.
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Wang, Wenlin, Qiong Huang, and Xiaolong Yang. "ERNC: An energy-balanced routing protocol based on network coordinate for wireless sensor networks." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272732.

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Dos Santos, Suzani, Robson De Melo, and Nivaldi Calonego Junior. "Arcabouço de Vigilância Inteligente para Operações de Compras Eletrônicas no Contexto de Smart Cities." In Escola Regional de Informática de Mato Grosso. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eri-mt.2019.8588.

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Intelligent surveillance systems aim to identify suspicious activity beyond the observation of people and environments, as computer networks and computer systems remain vulnerable to malicious actions. The intelligent surveillance framework (Arcabouço de Vigilância Inteligente - AVI) uses the cognitive construction of a user profile and the recognition of devices for electronic purchases, aiming to ensure the authenticity of transactions for computer systems in networked interconnected. The AVI assessment shows that it is effective with respect to user authenticity and that the smart surveillance model in purchasing operations matches the expectation of vulnerability reduction.
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Li, Shen, Andong Zhan, Xiaobing Wu, and Guihai Chen. "ERN: Emergence Rescue Navigation with Wireless Sensor Networks." In 2009 15th International Conference on Parallel and Distributed Systems. IEEE, 2009. http://dx.doi.org/10.1109/icpads.2009.135.

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Boudi, Abderrahmane, and Malik Loudini. "ERN: Explicit rate notification AQM for TCP-IP networks." In 2016 IEEE 13th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2016. http://dx.doi.org/10.1109/icnsc.2016.7479029.

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King, Carey W., Jay Zarnikau, and Phil Henshaw. "Defining a Standard Measure for Whole System EROI Combining Economic “Top-Down” and LCA “Bottom-Up” Accounting." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90414.

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Business investments rely on creating a whole system of different parts, technologies, field and business operations, management, land, financing and commerce using a network of other services. Using the example of a wind farm development, a typical life cycle assessment (LCA) focuses upon the primary technology inputs and their countable embodied direct impacts. What LCA omits are the direct and indirect impacts of the rest of the business system that operates the primary technology, the labor, commerce and other technology employed. A total environmental assessment (TEA) would include the physical costs to the environment of the labor, commerce and other technology too. Here a simplified “system energy assessment” (SEA) is used to combine a “top-down” method of measuring implied indirect business impacts using econometric methods, with a “bottom-up” method of adding up the identifiable direct impact parts. The top-down technique gives an inclusive but rough measure. The bottom-up technique gives a precise accounting for the directly identifiable individual parts that is highly incomplete. SEA allows these two kinds of measures to be combined for a significantly improved understanding of the whole business system and its impacts, combining the high and low precision measures indentified by each method. The key is exhaustively accounting for energy uses within the natural boundary of a whole business system as a way of calibrating the measure. That allows defining a standardized measure of complex distributed system energy flows and their energy returns on invested energy resources (EROI). The method is demonstrated for a generic business operation. Starting from the easily accountable inputs and outputs, SEA successively uses larger natural system boundaries to discover a way of finding the limiting value of EROI after all parts of the whole are included. Some business choices and a net present value model of cash flow for the 20 year project help illustrate the related financial issues. The business model used shows that the EROI of a generic “Texas Wind Farm” is 31 when accounting for direct and indirect fuels only, but decreases to 4–6 after accounting for the economic energy consumed by all necessary business units and services.
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Silva, Matheus, and Thiago Ventura. "Classificação Morfológica de Galáxias Por Meio de Redes Neurais." In Escola Regional de Informática de Mato Grosso. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eri-mt.2019.8590.

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This paper proposes the development of a convolutional neural network for the morphological classification of galaxies through optical images, classifying them into six distinct classes based on the Hubble Tuning Fork model. In order to automate the mass identification and separation of the huge volume of data generated in recent astronomical observatories, deep learning and data augmentation techniques are used to generate increased data variation and consequently improve network accuracy. Our model achieved an average precision of 88%.
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Ruan, Guoxiang, Nan Wu, and Kexin Peng. "Impact of Cross-Organization Improvisation on New Product Development From Viewpoint of Network Embedding." In 5th Asia-Pacific Conference on Economic Research and Management Innovation (ERMI 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210218.021.

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Rabelo, Henrique, Felipe Alves, Jean Caminha, Renan Susuki, Allan Gonçalves, Hernane Junior, and Tierry Lincoln. "Agente de monitoramento de infraestrutura de redes para suporte a sistemas self-healing." In Escola Regional de Informática de Mato Grosso. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eri-mt.2019.8604.

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Systems supported by computer network infrastructures are at risk of downtime caused by power outages and communications, causing business impacts. In order to detect and act upon degradation events of these services, we present an intelligent IoT-based monitoring agent.
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Reports on the topic "ErNi network"

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Fehey, Kristina, and Dustin Perkins. Invasive exotic plant monitoring in Capitol Reef National Park: 2019 field season, Scenic Drive and Cathedral Valley Road. Edited by Alice Wondrak Biel. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2286627.

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Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The North-ern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 11 monitoring protocols to be implemented as part of its long-term monitoring program. From May 30 to June 1, 2019, network staff conducted surveys for priority IEP species along the Scenic Drive and Cathedral Valley Road monitoring routes at Capitol Reef National Park. We detected 119 patches of six priority IEP species along 34 kilometers of the two monitor-ing routes. There were more patches of IEPs, and a higher percentage of large patches, than in previous years. This indicates that previously identified infestations have expanded and grown. The most common (47.1%) patch size among priority species was 1,000–2,000 m2 (0.25–0.5 acre). The vast majority (93.2%) of priority patches ranked either low (58.8%) or very low (34.4%) on the patch management index scale. Tamarisk (Tamarix sp., 72 patches) was the most prevalent priority IEP species. African mustard (Malcolmia africana, 32 patch-es), field bindweed (Convolvulus arvensis, 9 patches), and Russian olive (Elaeagnus angusti-folia, 3 patches) occurred less commonly. Together, these four species represented 97.5% of all patches recorded in 2019. Four IEP species were found on the monitored routes for the first time: Russian olive (Elaeagnus angustifolia), quackgrass (Elymus repens), Siberian elm (Ulmus pumila), and African mustard (Malcolmia africana, not on the priority species list before 2019). Cathedral Valley Road had higher IEP priority patches per kilometer (5.68) than the Scenic Drive (2.05). IEP species were found on 37.9% (25 of 66) of monitored transects. Almost all these detections were Russian thistle (Salsola sp.). Russian thistle was widespread, present in 33.3% of transects, with an estimated cover of 0.2% across all transects sampled. Across routes monitored in all three rotations (2012, 2015, and 2019), Russian thistle has increased in frequency. However, its frequency remained about the same from 2015 to 2019, and percent cover remains low. Tamarisk and field bindweed have both increased in preva-lence since monitoring began, with tamarisk showing a dramatic increase in the number and size of patches. Immediate control of tamarisk and these other species is recommended to reduce their numbers on these routes. The NCPN plans to Capitol Reef in 2020 to monitor Oak and Pleasant creeks, completing the third rotation of invasive plant monitoring.
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Perkins, Dustin. Invasive exotic plant monitoring at Colorado National Monument: 2019 field season. Edited by Alice Wondrak Biel. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286650.

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Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The North-ern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 11 monitoring protocols to be implemented as part of its long-term monitoring program. This report represents work completed at Colorado National Monument during 2019. During monitoring conducted June 12–19, a total of 20 IEP species were detected on monitoring routes and transects. Of these, 12 were priority species that accounted for 791 separate IEP patches. IEPs were most prevalent along riparian areas. Yellow sweetclover (Melilotis officinale) and yellow salsify (Tragopogon dubius) were the most commonly detected priority IEPs along monitoring routes, representing 73% of all priority patches. Patches of less than 40 m2 were typical of nearly all priority IEP species except yellow sweetclover. A patch management index (PMI) was created by combining patch size class and percent cover for each patch. In 2019, a large majority of priority IEP patches were assigned a PMI score of low (46%) or very low (50%), indicating small and/or sparse patches where control is generally still feasible. This is similar to the numbers for 2017, when 99% of patches scored low or very low in PMI. Seventy-eight percent of tree patches were classified as seedlings or saplings, which require less effort to control than mature trees. Cheatgrass (Anisantha tectorum) was the most common IEP recorded in transects, found in 30–77% of transects across the different routes. It was the only species found in transects on all monitoring routes. When treated and untreated extra areas near the West Entrance were compared, the treated area had comparable or higher lev-els of IEPs than the untreated area. When segments of monitoring routes conducted between 2003 and 2019 were compared, results were mixed, due to the different species monitored in different time periods. But in general, the number of IEPs per 100 meters is increasing or remaining constant over time. There were notable increases in IEP patches per 100 meters on several routes in 2019: field bindweed (Convolvulus arvensis) along East Glade Park Road; Siberian elm (Ulmus pumila) in Red Canyon; yellow salsify along East Glade Park Road, No Thoroughfare Canyon, No Thoroughfare Trail, and Red Canyon; and yellow sweetclover in No Thoroughfare Canyon and Red Canyon. Network staff will return to re-sample monitoring routes in 2021.
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Raymond, Kara, Laura Palacios, Cheryl McIntyre, and Evan Gwilliam. Status of climate and water resources at Saguaro National Park: Water year 2019. Edited by Alice Wondrak Biel. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2288717.

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Climate and hydrology are major drivers of ecosystems. They dramatically shape ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, and water quality and quantity is central to assessing the condition of park biota and key cultural resources. The Sonoran Desert Network collects data on climate, groundwater, and surface water at 11 National Park Service units in south-ern Arizona and New Mexico. This report provides an integrated look at climate, groundwater, and springs conditions at Saguaro National Park (NP) during water year 2019 (October 2018–September 2019). Annual rainfall in the Rincon Mountain District was 27.36" (69.49 cm) at the Mica Mountain RAWS station and 12.89" (32.74 cm) at the Desert Research Learning Center Davis station. February was the wettest month, accounting for nearly one-quarter of the annual rainfall at both stations. Each station recorded extreme precipitation events (>1") on three days. Mean monthly maximum and minimum air temperatures were 25.6°F (-3.6°C) and 78.1°F (25.6°C), respectively, at the Mica Mountain station, and 37.7°F (3.2°C) and 102.3°F (39.1°C), respectively, at the Desert Research Learning Center station. Overall temperatures in WY2019 were cooler than the mean for the entire record. The reconnaissance drought index for the Mica Mountain station indicated wetter conditions than average in WY2019. Both of the park’s NOAA COOP stations (one in each district) had large data gaps, partially due to the 35-day federal government shutdown in December and January. For this reason, climate conditions for the Tucson Mountain District are not reported. The mean groundwater level at well WSW-1 in WY2019 was higher than the mean for WY2018. The water level has generally been increasing since 2005, reflecting the continued aquifer recovery since the Central Avra Valley Storage and Recovery Project came online, recharging Central Arizona Project water. Water levels at the Red Hills well generally de-clined starting in fall WY2019, continuing through spring. Monsoon storms led to rapid water level increases. Peak water level occurred on September 18. The Madrona Pack Base well water level in WY2019 remained above 10 feet (3.05 m) below measuring point (bmp) in the fall and winter, followed by a steep decline starting in May and continuing until the end of September, when the water level rebounded following a three-day rain event. The high-est water level was recorded on February 15. Median water levels in the wells in the middle reach of Rincon Creek in WY2019 were higher than the medians for WY2018 (+0.18–0.68 ft/0.05–0.21 m), but still generally lower than 6.6 feet (2 m) bgs, the mean depth-to-water required to sustain juvenile cottonwood and willow trees. RC-7 was dry in June–September, and RC-4 was dry in only September. RC-5, RC-6 and Well 633106 did not go dry, and varied approximately 3–4 feet (1 m). Eleven springs were monitored in the Rincon Mountain District in WY2019. Most springs had relatively few indications of anthropogenic or natural disturbance. Anthropogenic disturbance included spring boxes or other modifications to flow. Examples of natural disturbance included game trails and scat. In addition, several sites exhibited slight disturbance from fires (e.g., burned woody debris and adjacent fire-scarred trees) and evidence of high-flow events. Crews observed 1–7 taxa of facultative/obligate wetland plants and 0–3 invasive non-native species at each spring. Across the springs, crews observed four non-native plant species: rose natal grass (Melinis repens), Kentucky bluegrass (Poa pratensis), crimson fountaingrass (Cenchrus setaceus), and red brome (Bromus rubens). Baseline data on water quality and chemistry were collected at all springs. It is likely that that all springs had surface water for at least some part of WY2019. However, temperature sensors to estimate surface water persistence failed...
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