scholarly journals Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

2021 ◽  
Vol 293 ◽  
pp. 116983
Author(s):  
Jesus Lago ◽  
Grzegorz Marcjasz ◽  
Bart De Schutter ◽  
Rafał Weron
2018 ◽  
Vol 325 ◽  
pp. 283-294
Author(s):  
Nelly Turcan ◽  
Rodica Cujba

According to the Registry of Open Access Repository Mandates and Policies (ROARMAP) only 8 research institutions from the Republic of Moldova (12%) approved an Open Access Policy (OAP). All these institutions are universities and none is a research institute or research funder, although research and development activities in the Republic of Moldova are funded basically from the state budget. The paper contains analysis of the situation regarding Open Access Institutional Policies in the Republic of Moldova. Results of a study regarding the attitude of Moldovan academia to open access to research outputs and identified problems on this issue are presented in this work. Emphasis is given to tools and information systems like Institutional Repositories (IRs) that promote open access for research outputs. The paper reveals the barriers for adoption and / or implementation of an open access policy in a research organization and provides ways for their overcoming.


2020 ◽  
Author(s):  
David Böhm ◽  
Alexander Grossmann ◽  
Michael Reiche ◽  
Antonia Schrader

Die zeitnahe, transparente und nachhaltige Verbreitung nachprüfbarer wissenschaftlicher Ergebnisse ist eine der wesentlichen Anforderungen an die wissenschaftliche Kommunikation und Infrastruktur. Open Access, also die offene und kostenfreie Nutzung von wissenschaftlicher Literatur, ist hierfür die Grundvoraussetzung. Hochschulen und Universitäten sind in der Regel die Institutionen, an denen Wissenschaftler neue Forschungsergebnisse erzeugen und zur Veröffentlichung als Buch vorbereiten. Neben klassischen Wissenschaftsverlagen veröffentlichen daher immer mehr Hochschulverlage wissenschaftliche Publikationen. Das vorliegende Handbuch beschreibt einen nachhaltigen, allgemeingültigen State-of-the-Art-Workflow zur Herstellung und Distribution von akademischen Büchern, der es Hochschulen und Universitäten ermöglicht, bei weitest möglicher Verbreitung, Sichtbarkeit und Zugänglichkeit eigene Forschungsarbeiten und Graduierungsschriften in digitaler Form im Open Access und als gedrucktes Buch zu veröffentlichen. Dieses Workflow-Modell wird anhand ausgewählter Fallbeispiele als Proof of Concept demonstriert und spiegelt den aktuellen Stand der derzeit im Verlagsbereich technischen und wirtschaftlichen Möglichkeiten wider. Anhand der Fallbeispiele wurden zudem der Zeit-, Kosten- und Personalaufwand erfasst, sodass anderen Hochschulen und Universitäten Anhaltspunkte für nötige Investitionen bei der Gründung und dem Betrieb eigener OA-Hochschulverlage gegeben werden.


2021 ◽  
Vol 10 (1) ◽  
pp. 109-112
Author(s):  
Deepa Dongarwar ◽  
Veronica Ajewole ◽  
Kiydra Harris ◽  
Emmanuella Oduguwa ◽  
Theresa Ofili ◽  
...  

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent for the coronavirus disease 2019 (COVID-19) pandemic, highlighted and compounded problems while posing new challenges for the pregnant population. Although individual organizations have provided disparate information, guidance, and updates on managing the pregnant population during the current COVID-19 pandemic, it is important to develop a collective model that highlights all the best practices needed to protect the pregnant population during the pandemic. To establish a standard for ensuring safety during the pandemic, we present a framework that describes best practices for the management of the pregnant population during the ongoing COVID-19pandemic.   Copyright © 2021 Dongarwar, et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited.


2021 ◽  
Vol 4 ◽  
Author(s):  
Tiina Laamanen ◽  
Veera Norros ◽  
Sanna Suikkanen ◽  
Mikko Tolkkinen ◽  
Kristiina Vuorio ◽  
...  

Environmental DNA (eDNA) and other molecular based approaches are revolutionizing the field of biomonitoring. These approaches undergo rapid modifications, and it is crucial to develop the best practices by sharing the newest information and knowledge. In our ongoing project we: assess the state-of-the-art of eDNA methods at Finnish Environment Institute SYKE; identify concrete next steps towards the long-term aim of implementing eDNA methods into environmental and biomonitoring; promote information exchange on eDNA methods and advance future research efforts both within SYKE and with our national and international partners. assess the state-of-the-art of eDNA methods at Finnish Environment Institute SYKE; identify concrete next steps towards the long-term aim of implementing eDNA methods into environmental and biomonitoring; promote information exchange on eDNA methods and advance future research efforts both within SYKE and with our national and international partners. Scientific background Well-functioning and intact natural ecosystems are essential for human well-being, provide a variety of ecosystem services and contain a high diversity of organisms. However, human activities such as eutrophication, pollution, land-use or invasive species, are threatening the state and functioning of ecosystems from local to global scale (e.g. Benateau et al. 2019; Reid et al. 2018; Vörösmarty et al. 2010). New molecular techniques in the field and in the laboratory have enabled sampling and identification of much of terrestrial, marine and freshwater biodiversity. These include environmental DNA (eDNA, e.g. Valentini et al. 2016) and bulk-sample DNA metabarcoding approaches (e.g. Elbrecht et al. 2017) and targeted RNA-based methods (e.g. Mäki and Tiirola 2018). The eDNA technique uses DNA that is released from organisms into their environment, from which a signal of organisms’ presence in the system can be obtained. For example, in aquatic ecosystems, eDNA is typically extracted from sediment or filtered water samples (e.g. Deiner et al. 2016), and this approach is distinguished from bulk DNA metabarcoding, where organisms are directly identified from e.g. complete biological monitoring samples (e.g. Elbrecht et al. 2017). Despite the demonstrated potential of environmental and bulk-sample DNA metabarcoding approaches in recent years, there are still significant bottlenecks to their routine use that need to be addressed (e.g. Pawlowski et al. 2020). Methods and implementati on The project is divided into three work packages: WP1 Gathering existing knowledge, identifying knowledge gaps and proposing best practices, WP2 Roadmap to implementation and WP3 eDNA monitoring pilot. Please see more details in the Fig. 1


2021 ◽  
Author(s):  
Majed Nahed Alrabeh ◽  
Zulkiflie Bin Samsudine ◽  
Salvador Alejandro Ruvalcaba Velarde ◽  
Faisal Mohammed Alhajri

Abstract The objective of this paper is to present the findings obtained from a detailed engineering evaluation resulting from trial testing two state-of-the-art surface horizontal pumping systems (HPS's) in two water supply wells. The two horizontal pumping systems were deployed as an alternative to downhole electrical submersible pumps (ESPs) to provide the benefits of eliminating ESP workover costs, modularity regarding wellsite deployments, and enhanced maintenance operations. For this trial test evaluation method, two HPS's were deployed to boost water production to the water injection plant (WIP). To ensure a thorough evaluation, the trial test well candidates were designed to accommodate both a subsurface ESP as well as a surface HPS to provide an accurate comparison, and representation, between the different artificial lift methods. The trial test and comparison method described in this paper focused primarily on the following items; maintenance and well intervention requirements, evaluation of operational availability, including potential for cavitation and effects of interference, maximum production rates, as well as root cause engineering evaluations for mechanical seals and cooling unit auxiliary motors. Various best practices and mitigation measures were identified and are presented in this paper. With regard to the results, it was observed that each artificial lift method comprised a set of advantages and disadvantages. The decision on which type of technology to use can be dependent on several factors. Overall, the HPS's demonstrated the ability to supply water production to the WIP. The HPS did experience operational challenges in providing higher production requirements. Additional challenges were also observed in the sealing mechanism as well as the auxiliary cooling unit. Precautionary pump tripping automated protocols were taken to prevent pump cavitation due to sub-optimal intake pressure resulting from possible interference. The HPS, unlike the ESPs, did not require any workover as it is located at the wellsite and therefore resulted in substantial cost savings and was easy to maintain due to its surface application. In summary, this paper adds a new and very beneficial evaluation of HPS's, and highlights best practices and lessons learned to the existing body of literature. The new information discussed in this paper is highly beneficial to engineering selections of artificial lift methods and to the successful implementation of HPS's in the industry.


Author(s):  
Saqib Saeed ◽  
Ashi Iram ◽  
Kiran Nazeer ◽  
Tayyaba Ayub

Requirement engineering is a main task in software process. In Software Engineering literature, many best practices and guidelines are present to construct quality software. However, adoption of such uniform guidelines is not in practice across the globe. In this chapter, the authors discuss requirement engineering practices followed in Pakistani small- and medium-scale enterprises. In order to understand work practices the authors conducted a survey and analyzed the responses. They found that cost and budgeting is one of the major issues of Pakistani industry: higher management is not willing to invest to adopt state-of-the-art standardized practices. This situation can be improved by enhancing public private partnerships to get desired quality software in the local IT industry.


Author(s):  
P. Hudson ◽  
L.T. De Ruig ◽  
M.C. de Ruiter ◽  
O.J. Kuik ◽  
W.J.W. Botzen ◽  
...  

2018 ◽  
Vol 13 ◽  
pp. 128-141
Author(s):  
Rosana Louro Ferreira Silva ◽  
José Artur Barroso Fernandes

Following on from discussions on the ‘languages and discourses’ subtheme at the 13 th Invitational Seminar on Environmental Education Research, this exploratory study in document analysis discusses various aspects of academic production on language and discourse in the area of Environmental Education (EE). The study centers on the analysis of thesis and dissertation abstracts contained in the EArte Project database, an open access digital repository of state of the art EE research in Brazil. Results suggest that the term ‘language’ appears only infrequently and then usually in relation to different forms of expression, whereas the term ‘discourse’ is far more pervasive, present in the titles of studies on a highly diverse range of research themes.


Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6995
Author(s):  
Hammad Nazeer ◽  
Noman Naseer ◽  
Aakif Mehboob ◽  
Muhammad Jawad Khan ◽  
Rayyan Azam Khan ◽  
...  

A state-of-the-art brain–computer interface (BCI) system includes brain signal acquisition, noise removal, channel selection, feature extraction, classification, and an application interface. In functional near-infrared spectroscopy-based BCI (fNIRS-BCI) channel selection may enhance classification performance by identifying suitable brain regions that contain brain activity. In this study, the z-score method for channel selection is proposed to improve fNIRS-BCI performance. The proposed method uses cross-correlation to match the similarity between desired and recorded brain activity signals, followed by forming a vector of each channel’s correlation coefficients’ maximum values. After that, the z-score is calculated for each value of that vector. A channel is selected based on a positive z-score value. The proposed method is applied to an open-access dataset containing mental arithmetic (MA) and motor imagery (MI) tasks for twenty-nine subjects. The proposed method is compared with the conventional t-value method and with no channel selected, i.e., using all channels. The z-score method yielded significantly improved (p < 0.0167) classification accuracies of 87.2 ± 7.0%, 88.4 ± 6.2%, and 88.1 ± 6.9% for left motor imagery (LMI) vs. rest, right motor imagery (RMI) vs. rest, and mental arithmetic (MA) vs. rest, respectively. The proposed method is also validated on an open-access database of 17 subjects, containing right-hand finger tapping (RFT), left-hand finger tapping (LFT), and dominant side foot tapping (FT) tasks.The study shows an enhanced performance of the z-score method over the t-value method as an advancement in efforts to improve state-of-the-art fNIRS-BCI systems’ performance.


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