Frontiers in research metrics and analytics最新文献

Norwegian data show that from 2018 to 2020, enterprises in densely populated regions increased R&D investments relative to those in sparsely populated regions, but not from 2016 to 2018. Therefore, COVID-19 likely induced the shift. The findings imply that densely populated regions have become more R&D-intensive, while sparsely populated regions have become less R&D-intensive during the pandemic. Small enterprises increased both R&D investments and employment from 2018 to 2020 relative to large enterprises and the analyses control for regression toward the mean effects. The findings were similar to those observed in the period from 2016 to 2018, which rules out COVID-19 as an explanation. Instead, the waves of data indicate a long-term trend where small enterprises increased R&D investments and employment.

A large body of literature on gender differences in scientific publication output has clearly established that women scientists publish less that men do. Yet, no single explanation or group of explanations satisfactorily accounts for this difference, which has been called the "productivity puzzle". To provide a more refined portrait of the scientific publication output of women in relation to that of their male peers, we conducted a web-based survey in 2016 of individual researchers across all African countries, except Libya. The resulting 6,875 valid questionnaires submitted by respondents in the STEM, Health Science and SSH fields were analyzed using multivariate regressions on the self-reported number of articles published in the preceding 3 years. Controlling for a variety of variables including career stage, workload, mobility, research field, and collaboration, we measured the direct and moderating effect of gender on scientific production of African researchers. Our results show that, while women's scientific publication output is positively affected by collaboration and age (impediments to women's scientific output decrease later in their careers), it is negatively impacted by care-work and household chores, limited mobility, and teaching hours. Women are as prolific when they devote the same hours to other academic tasks and raise the same amount of research funding as their male colleagues. Our results lead us to argue that the standard academic career model, relying on continuous publications and regular promotions, assumes a masculine life cycle that reinforces the general perception that women with discontinuous careers are less productive than their male colleagues, and systematically disadvantages women. We conclude that the solution resides beyond women's empowerment, i.e., in the broader institutions of education and the family, which have an important role to play in fostering men's equal contribution to household chores and care-work.

This article argues that adopting a research ethics and integrity perspective could support researchers in operationalizing the open science guiding principle "as open as possible, as closed as necessary" in a responsible and context-sensitive manner. To that end, the article points out why the guiding principle as such provides only a limited extent of action-guidance and outlines the practical value of ethical reflection when it comes to translating open science into responsible research practice. The article illustrates how research ethics and integrity considerations may help researchers understand the ethical rationale underpinning open science as well as recognize that limiting openness is necessary or at least normatively permissible in some situations. Finally, the article briefly discusses possible consequences of integrating open science into a responsibility-centered framework and implications on research assessment.

Introduction: Fruit losses in the supply chain owing to improper handling and a lack of proper control are common in the industry. As losses are caused by the inefficiency of the export method, selecting the appropriate export method is a possible solution. Several organizations employ only a single strategy, which is mainly based on a first-in-first-out approach. Such a policy is easy to manage but inefficient. Given that the batch of fruits may become overripe during transportation, frontline operators do not have the authority or immediate support to change the fruit dispatching strategy. Thus, this study aims to develop a dynamic strategy simulator to determine the sequence of delivery based on forecasting information projected from probabilistic data to reduce the amount of fruit loss.

Methods: The proposed method to accomplish asynchronous federated learning (FL) is based on blockchain technology and a serially interacting smart contract. In this method, each party in the chain updates its model parameters and uses a voting system to reach a consensus. This study employs blockchain technology with smart contracts to serially enable asynchronous FL, with each party in the chain updating its parameter model. A smart contract combines a global model with a voting system to reach a common consensus. Its artificial intelligence (AI) and Internet of Things engine further strengthen the support for implementing the Long Short-Term Memory (LSTM) forecasting model. Based on AI technology, a system was constructed using FL in a decentralized governance AI policy on a blockchain network platform.

Results: With mangoes being selected as the category of fruit in the study, the system improves the cost-effectiveness of the fruit (mango) supply chain. In the proposed approach, the simulation outcomes show fewer mangoes lost (0.035%) and operational costs reduced.

Discussion: The proposed method shows improved cost-effectiveness in the fruit supply chain through the use of AI technology and blockchain. To evaluate the effectiveness of the proposed method, an Indonesian mango supply chain business case study has been selected. The results of the Indonesian mango supply chain case study indicate the effectiveness of the proposed approach in reducing fruit loss and operational costs.

Our work provides a novel method for rich information discovery about the evolution of technical fields and company developments through patent relationships. A new exploratory method and graphical tool to discover technology proximity based on patent classification information are introduced. By technology we mean a technical field (defined by an International Patent Classification-IPC-code or a combination of them) or an organization (such as a tech company, research center, or institution). A single data structure is used for characterizing both technical fields and organizations, to visualize them as items of the very same body. This new method generates two graphs: the first graph, the TechnologyMap, visualizes technology items in a 2D plot wherein technical fields and companies will appear positioned relative to each other; the. A second graph, the Focused TechnologyMap, visualizes technology items with respect to a selected one, the focus, which is located in the center of a circle whose radii correspond to the complete set of IPC codes. This article represents the process and algorithms used for production of the graphs, and solidifies the assumptions of validity by presenting two of the many successful test cases to which it was applied.

Based on the polar polynya-related 1,677 publications derived from the Web of Science from 1980 to 2021, this study analyses the scientific performance of polar polynya research with respect to publication outputs, scientific categories, journals, productive countries and partnerships, co-cited references, bibliographic documents and the thermal trends of keywords. The number of publications and citations on polar polynya has increased 17.28 and 11.22% annually since the 1990s, respectively, and those numbers for Antarctic polynya have surpassed that of the Arctic polynya since 2014. Oceanography, geosciences multidisciplinary, and environmental sciences were the top 3 scientific categories in the Arctic and Antarctic polynya research field. Nevertheless, ecology and meteorology are gaining ground in the Arctic and the Antarctic recently. The Journal of Geophysical Research-Oceans accommodated most publications for both polar regions, followed by Deep-Sea Research Part II-Topical Studies in Oceanography and Polar Biology. The Continental Shelf Research and Ocean Modeling were favored journals in Arctic and Antarctic polynya research, respectively. The USA dominated the polar polynya study field with 31.74%/43.60% publications on the Arctic/Antarctic polynya research, followed by Canada (40.23%/4.32%) and Germany (17.21%/11.22%). Besides, Australia occupied the second most popular position in the Antarctic polynya research. The keywords analysis concluded that the polynya topics that generated the most interest were altered from model to climate change in the Arctic and ocean water and glacier in the Antarctic over time. This study gives a summary of the polar polynya scientific field through bibliometric analysis which may provide reference for future research.

This study showcases a technique to categorize NetZero-related patent applications into three technical fields according to the degree of proximity between claimed inventions and cited inventions by comparing technological classifications between the patent applications and cited applications thereof. In this technique, the author first describes the existing methods used in previous studies. The technique proposed in this article is different from those of previous studies in that it is characterized by comparing the technical fields of not only the primary classification but also the subsequent classifications. This is made possible by using two patent classifications without having a specific classification corresponding to the middle hierarchy in between, rather than using three patent classifications with different hierarchies. This technique reduces the possibility that two applications, even if they are the same in their subsequent classification, will be judged as applications in different technical fields because they are in different classes in the primary classification. Using the proposed technique, the author examined the impact on the subsequent patent application of NetZero-related patent applications filed in Japan. As a result of the analysis, the author found that approximately 33% of subject applications, whose technical field differs from the backward citations when comparing the primary classification only, match one of the subsequent classifications when comparing them in consideration of the subsequent classifications as well. The author then found that these 33% of subject applications had a greater impact on subsequent patent applications than the remaining applications.

This article explores the technology underpinning the decentralized data revolution and encourages Indigenous Peoples (IPs) to secure their Indigenous Data Sovereignty (IDSov) over the Metaverse and Web3. More specifically, this article will survey blockchain technologies, exploring some disturbing colonial uses and providing an international legal framework that IPs can use to advance their IDSov internationally and domestically. This article will consider the role that cryptocurrencies, smart contracts, decentralized oracles, non-fungible tokens (NFTs), decentralized finance (DeFi), and decentralized autonomous organizations (DAOs) might play in advancing IDSov as it relates to western conceptualizations of Web3 and the Metaverse. The worldwide web's global data structure is undergoing a seismic shift that will significantly impact IPs. As inherent sovereigns, IPs are uniquely positioned to use and regulate these technologies in manners consistent with their cultural values and international indigenous human rights instruments. However, the march toward Web3 also looms menacingly over IPs. As such, we intend to examine IPs' novel risks and opportunities with Web3 and the Metaverse. We conclude by encouraging IPs to become fluent in the minutia of these technologies and to exert their inherent sovereignty over these nascent technologies in international and domestic arenas by building culturally informed systems to address their particularized needs. Future research should look toward the specific hurdles, and successes IPs are experiencing as they apply the technologies and principles discussed here.