LISA, the Laser Interferometer Space Antenna, due to launch mid-2035, is a large class space mission by the European Space Agency (ESA). In partnership with NASA and ESA-member states, ESA is on track to launch what is expected to be the first space-based gravitational wave detector. By hosting detectors in space, one gains access to a lower frequency band of gravitational wave sources and with them, a plethora of new science. To maximise this scientific gain, ESA and NASA selected 20 scientists for the LISA Science Team, to carry out and/or lead necessary actions on the run up to LISA launch. We give a short overview and update of the LISA mission, some of its science objectives and related waveforms, as well as the work of the LISA Science Team as of December 2025.
Nutzungsstatistiken fordern in der Regel, dass automatisierte Zugriffe gefiltert und nur Zugriffe in der Statistik erfasst werden, die von einer Person initiiert wurden. Im Closed Access wird der Zugriff auf bestimmte identifizierte Gruppen beschränkt, zum Beispiel durch Freigabe spezieller IP-Adress-räume oder Single-Sign-On-Lösungen. Viele Bots haben im Closed Access also keinen Zugriff oder können anhand der Authentifizierung erkannt werden. Open Access sichert zu, dass Inhalte ohne technische und andere Barrieren genutzt werden können. Bei offenen Angeboten ist das Erkennen von Bots nicht manipulationssicher möglich. Hinzu kommt, dass Inhalte im Open Access auch durch andere verbreitet werden dürfen und so weitere Kopien von Arbeiten auf anderen Servern auftauchen, die sich der Zählung entziehen. Eine belastbare Nutzungsstatistik für Inhalte im Open Access lässt sich daher nicht führen. Der exemplarische Fokus im Artikel liegt auf Open-Access-Repositorien; die zugrundeliegenden Probleme mit Nutzungsstatistiken gelten allerdings für alle Open-Access-Publikationsarten, inklusive Verlagspublikationen im Open Access.
Bibliography. Library science. Information resources
This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges and opportunities these AI tools present. While Generative AI improves efficiency and supports creative student work, it raises concerns such as AI hallucinations, error propagation, bias, and blurred lines between AI-assisted and student-authored content. Human oversight is crucial for addressing these concerns. Existing literature recommends adopting hybrid assessment models that combine AI with human evaluation, developing bias detection frameworks, and promoting AI literacy for both students and educators. Our findings suggest that the successful integration of AI requires a balanced approach, considering ethical, pedagogical, and technical factors. Future research may explore enhancing AI accuracy, preserving academic integrity, and developing adaptive models that balance creativity with precision.
Recent advancements in Large Language Models (LLMs) have marked significant progress in understanding and responding to medical inquiries. However, their performance still falls short of the standards set by professional consultations. This paper introduces a novel framework for medical consultation, comprising two main modules: Terminology-Enhanced Information Retrieval (TEIR) and Emotional In-Context Learning (EICL). TEIR ensures implicit reasoning through the utilization of inductive knowledge and key terminology retrieval, overcoming the limitations of restricted domain knowledge in public databases. Additionally, this module features capabilities for processing long context. The EICL module aids in generating sentences with high attribute relevance by memorizing semantic and attribute information from unlabelled corpora and applying controlled retrieval for the required information. Furthermore, a dataset comprising 803,564 consultation records was compiled in China, significantly enhancing the model's capability for complex dialogues and proactive inquiry initiation. Comprehensive experiments demonstrate the proposed method's effectiveness in extending the context window length of existing LLMs. The experimental outcomes and extensive data validate the framework's superiority over five baseline models in terms of BLEU and ROUGE performance metrics, with substantial leads in certain capabilities. Notably, ablation studies confirm the significance of the TEIR and EICL components. In addition, our new framework has the potential to significantly improve patient satisfaction in real clinical consulting situations.
Background: A shortage of images of pathology on diverse skin tones has been recognized for decades in health professions education. Identifying skin manifestations of disease depends on pattern recognition, which is difficult without visual examples. Lack of familiarity with visual diagnosis on skin of color can lead to delayed or missed diagnoses with increased morbidity and mortality. As the United States continues to increase in ethnic and racial diversity, addressing the disparity in health outcomes with education is vital.
Case Presentation: At the Hackensack Meridian School of Medicine, students, librarians, and faculty came together to address this problem and develop a database of dermatological conditions in people with darker skin tones. A student group initiated a series of meetings with faculty to determine the best approach to address and enhance the representation of diversity in disease images within the curriculum. With the guidance of faculty and librarians, students performed a literature search and created a database of images of skin pathologies in people with darker skin tones. The database was disseminated to course directors and lecturers, and the noted disparities were corrected for the next cohort of students. The database provides an easily accessible resource for creating lecture slides.
Conclusion: This project brought awareness of the need for inclusivity and generated a broad review of the curriculum to be more representative of all patient populations. Most importantly, our experience provides a roadmap for institutional change through student, librarian and faculty collaboration and cultivation of a culture of optimism and acceptance.
Bibliography. Library science. Information resources, Medicine
This article deals with issues related to university plagiarism, students' knowledge of it, and its academic, economic, legal, social, and ethical repercussions. The project covers various university degree courses of the Faculty of Documentation and Communication Sciences of the University of Extremadura. The objective was to analyse the real knowledge that students have about plagiarism and its repercussions, and to verify the students' situation regarding their knowledge of plagiarism, its typology, and its possible consequences. The methodological approach was based on a previous study about the legal and ethical regulations that affect this issue in general and the university environment in particular. Once the analysis of these documents had been carried out, a 17-item Likert-scale questionnaire was prepared which was responded to by a total of 267 students doing different degree courses of the aforementioned Faculty. Simple descriptive statistics were used to analyse the results. They showed that the group with most knowledge about plagiarism and its repercussions was that of the Master's course students (2.27 out of 3). Of the options proposed as a means of identifying plagiarism, that most frequently identified (83.85%) was reproducing a text in a work without citing the author. In general, the questionnaire results indicated that, although the scores were in the top half of the possible values in all cases, they were far from optimal in all of the degree courses analysed. In conclusion, it can be said that plagiarism has become an essential issue throughout the university world, particularly with the use of technology in the academic setting and its problems regarding intellectual property and copyright. The methodology used, applied to the degree courses of the Faculty of Documentation and Communication Sciences of the UEx, allows the context to be analysed, the problem and its causes to be identified, and the imbalances to be corrected, since in many cases students are unaware that they are plagiarising.
Bibliography. Library science. Information resources
Edafetanure-Ibeh Faith, Evah Patrick Tamarauefiye, Mark Uwuoruya Uyi
The aim of attending an educational institution is learning, which in turn is sought after for the reason of independence of thoughts, ideologies as well as physical and material independence. This physical and material independence is gotten from working in the industry, that is, being a part of the independent working population of the country. There needs to be a way by which students upon graduation can easily adapt to the real world with necessary skills and knowledge required. This problem has been a challenge in some computer science departments, which after effects known after the student begins to work in an industry. The objectives of this project include: Designing a web based chat application for the industry and computer science department, Develop a web based chat application for the industry and computer science and Evaluate the web based chat application for the industry and computer science department. Waterfall system development lifecycle is used in establishing a system project plan, because it gives an overall list of processes and sub-processes required in developing a system. The descriptive research method applied in this project is documentary analysis of previous articles. The result of the project is the design, software a web-based chat application that aids communication between the industry and the computer science department and the evaluation of the system. The application is able to store this information which can be decided to be used later. Awareness of the software to companies and universities, implementation of the suggestions made by the industry in the computer science curriculum, use of this software in universities across Nigeria and use of this not just in the computer science field but in other field of study
At its core, information access and seeking is an interactive process. In existing search engines, interactions are limited to a few pre-defined actions, such as "requery", "click on a document", "scrolling up/down", "going to the next result page", "leaving the search engine", etc. A major benefit of moving towards generative IR systems is enabling users with a richer expression of information need and feedback and free-form interactions in natural language and beyond. In other words, the actions users take are no longer limited by the clickable links and buttons available on the search engine result page and users can express themselves freely through natural language. This can go even beyond natural language, through images, videos, gestures, and sensors using multi-modal generative IR systems. This chapter briefly discusses the role of interaction in generative IR systems. We will first discuss different ways users can express their information needs by interacting with generative IR systems. We then explain how users can provide explicit or implicit feedback to generative IR systems and how they can consume such feedback. Next, we will cover how users interactively can refine retrieval results. We will expand upon mixed-initiative interactions and discuss clarification and preference elicitation in more detail. We then discuss proactive generative IR systems, including context-aware recommendation, following up past conversations, contributing to multi-party conversations, and feedback requests. Providing explanation is another interaction type that we briefly discuss in this chapter. We will also briefly describe multi-modal interactions in generative information retrieval. Finally, we describe emerging frameworks and solutions for user interfaces with generative AI systems.
This article stands as a tribute to the enduring legacy of Jacob Ziv and his landmark contributions to information theory. Specifically, it delves into the groundbreaking individual-sequence approach -- a cornerstone of Ziv's academic pursuits. Together with Abraham Lempel, Ziv pioneered the renowned Lempel-Ziv (LZ) algorithm, a beacon of innovation in various versions. Beyond its original domain of universal data compression, this article underscores the broad utility of the individual-sequence approach and the LZ algorithm across a wide spectrum of problem areas. As we traverse through the forthcoming pages, it will also become evident how Ziv's visionary approach has left an indelible mark on my own research journey, as well as on those of numerous colleagues and former students. We shall explore, not only the technical power of the LZ algorithm, but also its profound impact on shaping the landscape of information theory and its applications.
Afonso Oliveira, Nuno Fachada, João P. Matos-Carvalho
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of machine learning and big data techniques has equipped these platforms with the capacity to handle larger amounts of increasingly complex data, transcending the limitations of more traditional approaches. This work traces the historical and technical evolution of data science and GIS as fields of study, highlighting the critical points of convergence between domains, and underlining the many sectors that rely on this integration. A GIS application is presented as a case study in the disaster management sector where we utilize aerial data from Tróia, Portugal, to emphasize the process of insight extraction from raw data. We conclude by outlining prospects for future research in integration of these fields in general, and the developed application in particular.
The aim of the article is to analyse the experience of visualising the national bibliography data as a method of studying the documentary flow of the country’s publishing products, and as a means of imaging publishing industry statistics (using the example of Sweden). Research methods. Achieving the set goal is carried out using a system of general scientific and special methods: theoretical (analysis, synthesis, generalisation, etc.), empirical (description), review and analytical, comparative, statistical, etc.). The methodological basis of the study are general scientific principles of objectivity, complexity, continuity and comprehensiveness. From the standpoint of scientific methodology, the issue is studied on the system approach basis. Scientific novelty. The conducted analysis of the project in data visualisation of the national bibliography of Sweden presents an original approach to imaging some certain bibliographic data set, studying the documentary flow of publishing products, conducting publishing statistics, and informing users more widely in an accessible form. Main conclusions. The national bibliography of Sweden presents current and quality statistics data on the country’s publishing products. Implemented by the Royal Library of Sweden, the project in bibliographic data visualisation shows that the national bibliography, as an authoritative and transparent indicator of tendencies in Swedish book publishing, makes it possible not only to analyse the products publication, but also to clearly and definitely visualise and illustrate it. Visualisation makes it possible to identify certain relationships in the set of information about new publications, to display the distribution of data, as well as composition and comparison. The project demonstrates the ability of the Royal Library of Sweden, as a national bibliographic agency, to effectively and efficiently adapt to the modern media-landscape, and respond to the current demands of time and the users’ needs. Mastering the Swedish experience in data visualisation can contribute to improving the Ukrainian bibliographic practice and transformation of the national bibliography of Ukraine in the digital environment.
In this paper, we consider a multiple-input multiple-output (MIMO) radar system for localizing a target based on its reflected echo signals. Specifically, we aim to estimate the random and unknown angle information of the target, by exploiting its prior distribution information. First, we characterize the estimation performance by deriving the posterior Cramér-Rao bound (PCRB), which quantifies a lower bound of the estimation mean-squared error (MSE). Since the PCRB is in a complicated form, we derive a tight upper bound of it to approximate the estimation performance. Based on this, we analytically show that by exploiting the prior distribution information, the PCRB is always no larger than the Cramér-Rao bound (CRB) averaged over random angle realizations without prior information exploitation. Next, we formulate the transmit signal optimization problem to minimize the PCRB upper bound. We show that the optimal sample covariance matrix has a rank-one structure, and derive the optimal signal solution in closed form. Numerical results show that our proposed design achieves significantly improved PCRB performance compared to various benchmark schemes.
Greg Martin, Pu Justin Scarfy Yang, Aram Bahrini
et al.
The goal of this annotated bibliography is to record every publication on the topic of comparative prime number theory (through mid-2024) together with a summary of its results. We use a unified system of notation for the quantities being studied and for the hypotheses under which results are obtained.
The full range of activity in a temporal network is captured in its edge activity data -- time series encoding the tie strengths or on-off dynamics of each edge in the network. However, in many practical applications, edge-level data are unavailable, and the network analyses must rely instead on node activity data which aggregates the edge-activity data and thus is less informative. This raises the question: Is it possible to use the static network to recover the richer edge activities from the node activities? Here we show that recovery is possible, often with a surprising degree of accuracy given how much information is lost, and that the recovered data are useful for subsequent network analysis tasks. Recovery is more difficult when network density increases, either topologically or dynamically, but exploiting dynamical and topological sparsity enables effective solutions to the recovery problem. We formally characterize the difficulty of the recovery problem both theoretically and empirically, proving the conditions under which recovery errors can be bounded and showing that, even when these conditions are not met, good quality solutions can still be derived. Effective recovery carries both promise and peril, as it enables deeper scientific study of complex systems but in the context of social systems also raises privacy concerns when social information can be aggregated across multiple data sources.
The main purpose of research is to determine the relationship between organizational commitment and the tendency to share knowledge among the staff of public libraries in Khuzestan province.This research was applied and using descriptive-correlational method. The statistical population of this research was all staff of public libraries. Simple sampling method has been used to determine the sample size, of which 215 were selected as statistical sample. The data were gathered using questionnaires and analyzed using the software SPSS.21.The results of the study showed that organizational commitment (mean = 78.44) and its dimensions are higher than average. Also, knowledge sharing (104 = 28/28) and its dimensions are higher than average. Meanwhile, there is a significant relationship between organizational commitment and employees' tendency to share knowledge in public libraries of Khuzestan province (sig = 0/001 = 0 / r = 0/688). Regarding the moderating role of descriptive statistics on the relationship between organizational commitment and knowledge sharing, it was found that only education corrected the relationship between organizational commitment and knowledge sharing, and the rest of the variables did not modify this relationship. The consequence is that the more these conditions become, the greater the sense of belonging to the organization and individuals will tend to share their knowledge, experiences and skills with other members of the organization.
Information technology, Bibliography. Library science. Information resources
This very short note was originally prepared as a “Viewpoint” for the virtual ISIC conference organized from Pretoria, South Africa in September/October 2020. The idea of the viewpoints was to allow some well-known figures from the world of information behaviour, to present points of view or ideas on current developments, without the necessity for the formal submission and presentation of papers. Consequently, this short note lacks the structure of a formal paper and is simply some personal notes on my current thinking about information behaviour.
The radiation pattern of transmit antennas varies and fluctuates as receivers change their location, other objects move around, and due to the antenna design itself. In this paper, we demonstrate how this observation can be exploited to align most of the interference signal power and significantly increase the average achievable communication rates. More precisely, in the context of $K$-user interference channels, we propose a blind interference alignment scheme that combines multi-layer coding at the transmitters and a post-processing methodology at the receivers to align a significant portion of the interference signal power. Our scheme does not rely on any channel state information (CSI), hence the term blind, and only relies on the statistics of the radiation pattern fluctuations. Our proposed communication methodology overcomes some of the barriers in practical implementation of the interference alignment concept. Due to the complexity of the expressions, in this work, we numerically evaluate the achievable rates in different scenarios, demonstrate the gains of our proposed strategy, and compare our results to the prior works with perfect CSI.
<p><strong>These/Ziel</strong><strong>: </strong>Der vorliegende Beitrag zielt auf die Analyse der Religionsbücher für Kinder, die in Polen in den Jahren 1945–1949 herausgegeben wurden. Im beigefügten Literaturverzeichnis findet man 40 derartige Publikationen.</p><p><strong>Forschungsmethode</strong><strong>: </strong>Das Quellenmaterial untersuchte man eigenständig aufgrund von Exemplaren, die in der Nationalbibliothek aufbewahrt werden.</p><p><strong>Ergebnisse/Schlussfolgerungen</strong><strong>: </strong>Die meisten Publikationen erschienen 1947–1948 in Krakau in der Krakauer Buchhandlung, und ihre Autoren waren meistens Priester. Einige Lehrbücher wurden bereits vor dem Krieg veröffentlicht. Für den Schulgebrauch der sich durch einen hohen Standarisierungsgrad auszeichnenden Buchpublikationen erteilte das Bildungsministerium seine Genehmigung. In der besprochenen Sammlung befinden sich Religionsbücher für Kleinkinder, vorgesehen eher für die Mütter und Betreuerinnen als für die Kinder selbst.</p>
Bibliography. Library science. Information resources
The Q-method has been utilized over time in various areas, including information systems. In this study, we used a systematic mapping to illustrate how the Q-method was applied within Information Systems (IS) community and proposing towards the integration of Q-method into the Design Sciences Research (DSR) process as a tool for future research DSR-based IS studies. In this mapping study, we collected peer-reviewed journals from Basket-of-Eight journals and the digital library of the Association for Information Systems (AIS). Then we grouped the publications according to the process of DSR, and different variables for preparing Q-method from IS publications. We found that the potential of the Q-methodology can be used to support each main research stage of DSR processes and can serve as the useful tool to evaluate a system in the IS topic of system analysis and design