Aptamer researchers face a literature landscape scattered across publications, supplements, and databases, with each search consuming hours that could be spent at the bench. AptaFind transforms this navigation problem through a three-tier intelligence architecture that recognizes research mining is a spectrum, not a binary success or failure. The system delivers direct sequence extraction when possible, curated research leads when extraction fails, and exhaustive literature discovery for additional confidence. By combining local language models for semantic understanding with deterministic algorithms for reliability, AptaFind operates without cloud dependencies or subscription barriers. Validation across 300 University of Texas Aptamer Database targets demonstrates 84 % with some literature found, 84 % with curated research leads, and 79 % with a direct sequence extraction, at a laptop-compute rate of over 900 targets an hour. The platform proves that even when direct sequence extraction fails, automation can still deliver the actionable intelligence researchers need by rapidly narrowing the search to high quality references.
Biomedical researchers face increasing challenges in navigating millions of publications in diverse domains. Traditional search engines typically return articles as ranked text lists, offering little support for global exploration or in-depth analysis. Although recent advances in generative AI and large language models have shown promise in tasks such as summarization, extraction, and question answering, their dialog-based implementations are poorly integrated with literature search workflows. To address this gap, we introduce MedViz, a visual analytics system that integrates multiple AI agents with interactive visualization to support the exploration of the large-scale biomedical literature. MedViz combines a semantic map of millions of articles with agent-driven functions for querying, summarizing, and hypothesis generation, allowing researchers to iteratively refine questions, identify trends, and uncover hidden connections. By bridging intelligent agents with interactive visualization, MedViz transforms biomedical literature search into a dynamic, exploratory process that accelerates knowledge discovery.
AbstractIn recent years, there has been growing interest in digital twin technology in both industry and academia. This versatile technology has found applications across various industries. Wind energy systems are particularly suitable for digital twin platforms due to the integration of multiple subsystems. This study aims to explore the current state of predictive digital twin platforms for wind energy systems by surveying literature from the past five years, identifying challenges and limitations, and addressing future research opportunities. This review is structured around four main research questions. It examines commonly employed methodologies, including physics-based modeling, data-driven approaches, and hybrid modeling. Additionally, it explores the integration of data from various sources such as IoT sensors, historical databases, and external application programming interfaces. The review also delves into key features and technologies behind real-time systems, including communication networks, edge computing, and cloud computing. Finally, it addresses current challenges in predictive digital twin platforms. Addressing these research questions enables the development of hybrid modeling strategies with data fusion algorithms, which allow for interpretable predictive digital twin platforms in real time. Filter methods with dimensionality reduction algorithms minimize the computational resource demand in real-time operating algorithms. Moreover, advancements in high-bandwidth communication networks facilitate efficient data transmission between physical assets and digital twins with reduced latency.
Abstract The dentate gyrus in the hippocampus makes important contributions to the acquisition of episodic memories by transforming synaptic inputs from the entorhinal cortex into sparse and decorrelated activity patterns of its principal neurons, the granule cells. However, the underlying mechanism remains unclear. Using a combination of electrophysiological and optical recordings, together with optogenetic and pharmacological manipulations, we demonstrate that the release of noradrenaline plays a key role in this specialization via an enhancement of feedforward inhibition generated by cholecystokinin-expressing interneurons. By imposing coincidence detection with milliseconds temporal resolution onto granule cells, this enhancement of feedforward inhibition makes granule cell activity sparser and their firing patterns decorrelated. Since decorrelation contributes to efficient memory storage during auto-associative learning, these findings reveal a circuit mechanism by which an arousal signal facilitates memory formation in the hippocampus.
HCI is future-oriented by nature: it explores new human--technology interactions and applies the findings to promote and shape vital visions of society. Still, the visions of futures in HCI publications seem largely implicit, techno-deterministic, narrow, and lacking in roadmaps and attention to uncertainties. A literature review centered on this problem examined futuring and its forms in the ACM Digital Library's most frequently cited HCI publications. This analysis entailed developing the four-category framework SPIN, informed by futures studies literature. The results confirm that, while technology indeed drives futuring in HCI, a growing body of HCI research is coming to challenge techno-centric visions. Emerging foci of HCI futuring demonstrate active exploration of uncertainty, a focus on human experience, and contestation of dominant narratives. The paper concludes with insight illuminating factors behind techno-centrism's continued dominance of HCI discourse, as grounding for five opportunities for the field to expand its contribution to futures and anticipation research.
As the volume of published scholarly literature continues to grow, finding relevant literature becomes increasingly difficult. With the rise of generative Artificial Intelligence (AI), and particularly Large Language Models (LLMs), new possibilities emerge to find and explore literature. We introduce ASK (Assistant for Scientific Knowledge), an AI-driven scholarly literature search and exploration system that follows a neuro-symbolic approach. ASK aims to provide active support to researchers in finding relevant scholarly literature by leveraging vector search, LLMs, and knowledge graphs. The system allows users to input research questions in natural language and retrieve relevant articles. ASK automatically extracts key information and generates answers to research questions using a Retrieval-Augmented Generation (RAG) approach. We present an evaluation of ASK, assessing the system's usability and usefulness. Findings indicate that the system is user-friendly and users are generally satisfied while using the system.
The total production of Norwegian Atlantic salmon is expected to increase considerably in the years to come. A majority of greenhouse gas emissions from aquaculture is accounted for by feed. To investigate and assess the sustainability and robustness of the feed system, a holistic perspective on the system is needed. We aim to conceptualize the current value chains of feed in Norway using the Food Systems Approach, existing literature, and stakeholder inputs. The Sustainable Development Goals include no specific mention of feed. Still, many Norwegian feed and animal producers link their sustainability work to these goals. This paper summarizes the sustainability perspectives of feed and animal producers in the aquaculture sector, as well as relevant background, regulations, and environmental and socio-economic drivers.
Science, General. Including nature conservation, geographical distribution
Children and young people's participation, as stipulated in the Convention on the Rights of the Child, applies to both matters that directly and indirectly affect children. Participation is in some countries recognized as a fundamental right and children's engagement seen as a valuable resource. Assisted by conceptual understanding of co-creation, children may be enabled to engage and participate in a variety of contexts. Knowledge about research on, and facilitation of, co-creation involving children is the theme of the scoping review presented by this protocol. The protocol outlines a scoping review which is to use a systematic approach to synthesize knowledge of research about co-creation with children. By systematically scoping the existing research about co-creation with children, the review will survey the available literature (evidence), identify key concepts, and uncover gaps in knowledge. The overall objective of this scoping review is to gain knowledge of research conducted about all types of co-creation with children, and to identify the gaps that future research should address. This scoping review acknowledges the existence of multiple definitions of co-creation, which vary depending on different contexts. The review will also recognize several other associated concepts, such as co-production, co-design, co-research, and co- innovation, since they are used interchangeably with or align with the understanding of co-creation being reviewed. The methodological framework outlined by the Joanna Briggs Institute (JBI) for scoping review will be used as a guide for this review. The PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation will be used during the process. The databases, ERIC (Education Resources Information Centre), Teacher Reference Center, Idunn, Oria, Libris, Kungliga biblioteket, ScienceDirect, ProQuest, Scopus, Academic search elite, Web of Science, Google scholar, will be searched for information on academic books and articles, in May 2024. Also grey literature will be searched for relevant academic references. There are no limitations in date of publication. Language will be limited to English, Norwegian, Swedish, and Danish. Following the selection of studies, data will be extracted and analysed. Ethical approval is not required, because only secondary data is collected. Dissemination will include peer-reviewed publications and presentations at conferences regarding public innovation, education, and children`s participations contexts.
This literature review gives an overview of current approaches to perform domain adaptation in a low-resource and approaches to perform multilingual semantic search in a low-resource setting. We developed a new typology to cluster domain adaptation approaches based on the part of dense textual information retrieval systems, which they adapt, focusing on how to combine them efficiently. We also explore the possibilities of combining multilingual semantic search with domain adaptation approaches for dense retrievers in a low-resource setting.
Efficiently extracting data from tables in the scientific literature is pivotal for building large-scale databases. However, the tables reported in materials science papers exist in highly diverse forms; thus, rule-based extractions are an ineffective approach. To overcome this challenge, we present MaTableGPT, which is a GPT-based table data extractor from the materials science literature. MaTableGPT features key strategies of table data representation and table splitting for better GPT comprehension and filtering hallucinated information through follow-up questions. When applied to a vast volume of water splitting catalysis literature, MaTableGPT achieved an extraction accuracy (total F1 score) of up to 96.8%. Through comprehensive evaluations of the GPT usage cost, labeling cost, and extraction accuracy for the learning methods of zero-shot, few-shot and fine-tuning, we present a Pareto-front mapping where the few-shot learning method was found to be the most balanced solution owing to both its high extraction accuracy (total F1 score>95%) and low cost (GPT usage cost of 5.97 US dollars and labeling cost of 10 I/O paired examples). The statistical analyses conducted on the database generated by MaTableGPT revealed valuable insights into the distribution of the overpotential and elemental utilization across the reported catalysts in the water splitting literature.
Wilson Chango, Teresa Olivares, Francisc oDelicado
The bibliographic review is a fundamental phase in a research project, and it must guarantee that the most relevant information in the field of study is obtained. Our main objective was to know the works related to the Internet of medical things, from now on (IoMT). We analyzed a total of 535 articles searched in association for Computing Machinery in Adelante ACM, Web of Science and Scopus the search domain was IoMT, we established 3 parameters, (problematic, artifact and artifact evaluation), this according to the Research of Design Science in Adelante DSR, is a research approach for the construction of artifacts to provide a useful solution to a problem in each domain. The equation (Internet of things AND mesh) resulted in 535, (Internet of things AND medicine) a total of 417 and finally (Internet of medical things AND mesh) with 8, this means that there is a lot to investigate in this research domain. The advantages identified in this type of topology is to carry messages from one node to another by different paths, there can be absolutely no interruption in communications, each server has its own communications with all other servers. Health and IT issues have been drastically influenced by the large data from IoMT devices. In this paper, we conducted a review of the scientific literature and mapped research trends on the IoMT paradigm in the health domain. Finally, this paper expands on the literature, and the findings of this study can serve as a basis for future studies.
Lars Erik Solberg, Jens Petter Wold, Katinka Dankel
et al.
Quality testing in the food industry is usually performed by manual sampling and at/off-line laboratory analysis, which is labor intensive, time consuming, and may suffer from sampling bias. For many quality attributes such as fat, water and protein, in-line near-infrared spectroscopy (NIRS) is a viable alternative to grab sampling. The aim of this paper is to document some of the benefits of in-line measurements at the industrial scale, including higher precision of batch estimates and improved process understanding. Specifically, we show how the decomposition of continuous measurements in the frequency domain, using power spectral density (PSD), may give a useful view of the process and serve as a diagnostic tool. The results are based on a case regarding the large-scale production of Gouda-type cheese, where in-line NIRS was implemented to replace traditional laboratory measurements. In conclusion, the PSD of in-line NIR predictions revealed unknown sources of variation in the process that could not have been discovered using grab sampling. PSD also gave the dairy more reliable data on key quality attributes, and laid the foundation for future improvements.
In the spring of 2023, the first bilingual Norwegian-Romanian anthology of poems, Briskeby blues, was published at Casa Cărții de Știință Publishing House in Cluj-Napoca, in the Nordica collection, coordinated by Sanda Tomescu Baciu and financially supported by Norwegian Literature Abroad (NORLA). The selection of the poems was made from the literary work of the Norwegian contemporary poet Jan Erik Vold (b. 1939) beginning with his debut volume in 1965, until 2011. This translation is a continuation of the translator’s PhD thesis published in 2018, namely The Poetry of Jan Erik Vold and the Norwegian Lyric Modernism in the 1960s.
This study employs a systematic literature review approach to identify the requirements of a career as a cybersecurity professional. It aims to raise public awareness regarding opportunities in the Information Security (IS) profession. A total of 1,520 articles were identified from four academic databases by searching using the terms "cybersecurity" and "skills". After rigorous screening according to various criteria, 31 papers remained. The findings of these studies were thematically analyzed to describe the knowledge and skills an IS professional should possess. The research found that a considerable investment in time is necessary for cybersecurity professionals to reach the required technical proficiency. It also identified female gender barriers to cybersecurity careers due to the unique requirements of the field and suggests that females may successfully enter at lower levels and progress up the tiers as circumstances dictate.
Marco Antonio Stranisci, Eleonora Bernasconi, Viviana Patti
et al.
Digital media have enabled the access to unprecedented literary knowledge. Authors, readers, and scholars are now able to discover and share an increasing amount of information about books and their authors. However, these sources of knowledge are fragmented and do not adequately represent non-Western writers and their works. In this paper we present The World Literature Knowledge Graph, a semantic resource containing 194,346 writers and 965,210 works, specifically designed for exploring facts about literary works and authors from different parts of the world. The knowledge graph integrates information about the reception of literary works gathered from 3 different communities of readers, aligned according to a single semantic model. The resource is accessible through an online visualization platform, which can be found at the following URL: https://literaturegraph.di.unito.it/. This platform has been rigorously tested and validated by $3$ distinct categories of experts who have found it to be highly beneficial for their respective work domains. These categories include teachers, researchers in the humanities, and professionals in the publishing industry. The feedback received from these experts confirms that they can effectively utilize the platform to enhance their work processes and achieve valuable outcomes.
Denne artikkelen er eit bidrag til debatten om litteraturundervisningas legitimering og status i den rådande utdannings- og fagpolitiske konteksten. Innleiingsvis presenterer artikkelen nokre av dei viktigaste utfordringane for litteraturundervisninga i skulen: ei tilnærming til litteraturundervisninga som er for dårleg fagleg forankra, og ei tilnærming som rett nok har ei fagleg forankring, men som likevel ikkje kan klare å hente ut litteraturundervisninga sitt fulle potensial. Artikkelen presenterer til slutt nokre litteraturdidaktiske posisjonar som kan peike mot moglege løysingar.
I denne artikel analyseres Karl Ove Knausgårds Morgenstjernen (2020) med særligt henblik på at vise hvorledes romanen forbinder sig til det overnaturlige og apokalyptiske og anvender motiver og greb med tilknytning til science fiction genren. Ved romanens udgivelse blev det diskuteret, hvorvidt de overnaturlige hændelser i romanen skulle forklares og naturliggøres som drømme og hallucinationer eller som fantastiske indslag (NRK 2020). Jeg vil med afsæt i den unaturlige narratologi betone vigtigheden af at lade det overnaturlige forblive muligt i romanens rum, da det overnaturlige fordrer andre fortolkningsstrategier end dem, man anvender i en hverdagslig kontekst, hvorved samtidens problemer kan belyses fra andre vinkler.
Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before. To combat these attacks open sourcing models and datasets have become a major trend to create automated detection algorithms in defense of authenticity. For this purpose, synthetic text detection has become an increasingly viable topic of research. This review is written for the purpose of creating a snapshot of the state of current literature and easing the barrier to entry for future authors. Towards that goal, we identified few research trends and challenges in this field.
Personal data cover multiple aspects of our daily life and activities, including health, finance, social, Internet, Etc. Personal data visualisations aim to improve the user experience when exploring these large amounts of personal data and potentially provide insights to assist individuals in their decision making and achieving goals. People with different backgrounds, gender and ages usually need to access their data on their mobile devices. Although there are many personal tracking apps, the user experience when using these apps and visualisations is not evaluated yet. There are publications on personal data visualisation in the literature. Still, no systematic literature review investigated the gaps in this area to assist in developing new personal data visualisation techniques focusing on user experience. In this systematic literature review, we considered studies published between 2010 and 2020 in three online databases. We screened 195 studies and identified 29 papers that met our inclusion criteria. Our key findings are various types of personal data, and users have been addressed well in the found papers, including health, sport, diet, Driving habits, lifelogging, productivity, Etc. The user types range from naive users to expert and developers users based on the experiment's target. However, mobile device capabilities and limitations regarding data visualisation tasks have not been well addressed. There are no studies on the best practices of personal data visualisation on mobile devices, assessment frameworks for data visualisation, or design frameworks for personal data visualisations
It is expected that the creation of next-generation wireless networks would result in the availability of high-speed and low-latency connectivity for every part of our life. As a result, it is important that the network is secure. The network's security environment has grown more complicated as a result of the growing number of devices and the diversity of services that 5G will provide. This is why it is important that the development of effective security solutions is carried out early. Our findings of this review have revealed the various directions that will be pursued in the development of next-generation wireless networks. Some of these include the use of Artificial Intelligence and Software Defined Mobile Networks. The threat environment for 5G networks, security weaknesses in the new technology paradigms that 5G will embrace, and provided solutions presented in the key studies in the field of 5G cyber security are all described in this systematic literature review for prospective researchers. Future research directions to protect wireless networks beyond 5G are also covered.