bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating Knowledge into Conversational Agents for Worker Upskilling
Authors: Alonso Rubén , Dessí Danilo , Meloni Antonello , Murgia Marco , Diego Reforgiato Recupero 
Published: February 2024

AbstractThe labor market is a key part of an economy. Several existing online platforms allow the upload of resumes and the search for a job. One of their limitations, however, is that obtaining the best opportunity can be hard because certain jobs need some experiences, abilities, and features that an applicant might not know. The recent diffusion and employment of conversational agents definitely have proven to benefit this kind of issue. For example, ChatGPT has shown impressive outcomes in different domains and for a variety of tasks. It has weaknesses, although, related to the veracity of the responses it generates, which might deceive the user interacting with it. The usage of external domain knowledge is the direction we suggest in this chapter. Several lexical databases and taxonomies have already been collected and designed by different organizations. We illustrate a list of such resources and provide a solution that integrates conversational agents with relevant information extracted from one of such resources showing the benefits and the impact that our proposal can generate.
Advancing Networked Production Through Decentralised Technical Intelligence
Authors: Walter Stefan , Mikkola Markku 
Published: February 2024

AbstractIn today’s competitive landscape, networked production plays a crucial role in enabling companies to create value and remain competitive. By integrating advanced logistics and supply chain processes, companies optimise resources through cooperation and dynamic arrangements. However, managing the emerging complexity requires a new and intelligent approach. Decentralised Technical Intelligence (DTI) is a response to this challenge. It refers to the distributed and autonomous intelligence embedded in interconnected systems, devices, and agents—involving both humans and machines. By combining the strengths of humans and artificial intelligence (AI), DTI creates a coordinated environment that enhances the overall system intelligence. This collaboration leads to greater autonomy and enables multiple DTI agents to operate independently within a decentralised network. To achieve advanced networked production with DTI, a roadmap will be established, encompassing building blocks that focus on transparency, cooperation, sustainability, seamless integration and intelligent network control. All building blocks are linked to a vision, value promise and development pathway. As networked production evolves, it gives rise to new business models and demands new skills and expertise. By following this roadmap, DTI unlocks its potential for advancement, creating value and fostering competitiveness.
XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt
Authors: Lampathaki Fenareti , Bosani Enrica , Biliri Evmorfia , Ichtiaroglou Erifili , Louca Andreas , Syrrafos Dimitris , Calabresi Mattia , Sesana Michele , Antonello Veronica , Capaccioli Andrea 
Published: February 2024

AbstractToday, Explainable AI is gaining more and more traction due to its inherent added value to allow all involved stakeholders to understand why/how a decision has been made by an AI system. In this context, the problem of Product Demand Forecasting as faced by Whirlpool has been elaborated and tackled through an Explainable AI approach. The Explainable AI solution has been designed and delivered in the H2020 XMANAI project and is presented in detail in this chapter. The core XMANAI Platform has been used by data scientists to experiment with the data and configure Explainable AI pipelines, while a dedicated manufacturing application is addressed to business users that need to view and gain insights into product demand forecasts. The overall Explainable AI approach has been evaluated by the end users in Whirlpool. This chapter presents experiences and lessons learnt from this evaluation.
Multisided Business Model for Platform Offering AI Services
Authors: Ejsmont Krzysztof , Gladysz Bartlomiej , Roczon Natalia , Bettoni Andrea , Barut Zeki Mert , Haber Rodolfo , Minisci Elena 
Published: February 2024

AbstractThe development of B2B platforms has led to the diffusion of business models (BMs) based on the concept of sharing economy. In recent years, multisided platform BMs have become an important way of creating and capturing value even though the phenomenon remains undertheorized (Zhao et al., Long Range Planning 53(4):101892, 2020). Multisided platforms (MSPs) are present in an increasing number of sectors due to the development of the Internet, digital technologies, and artificial intelligence (AI). The manufacturing sector has not been untouched by this trend; however, it still struggles to establish value drivers to support small- and medium-sized enterprises (SMEs) in the change. The objective of the proposed study is to present an ecosystem for the SME manufacturing sector, which will be based on the selected MSP offering AI services. An initial BM for the AI platform as a service will be design, and a revenue model will be proposed within it. The selected case allowed the use of a methodological approach (PDT – Platform Design Toolkit) to the design of an MSP business model based on a qualitative analysis of the dynamics governing the platform ecosystem. The originality of the research stems from the reliance on data obtained from the implementation of the KITT4SME project (H2020, GA 952119). The study results indicate that it is crucial to properly identify the needs of the platform’s stakeholders, and then precisely define the values and the mechanisms for exchanging them through MSP.
Digital-Twin-Enabled Framework for Training and Deploying AI Agents for Production Scheduling
Authors: Bakopoulos Emmanouil , Siatras Vasilis , Mavrothalassitis Panagiotis , Nikolakis Nikolaos , Alexopoulos Kosmas 
Published: February 2024

AbstractDigital manufacturing tools aim to provide intelligent solutions that will help manufacturing industry adapt to the volatile work environment. Modern technologies such as artificial intelligence (AI) and digital twins (DT) are primarily exploited in a way to simulate and select efficient solutions from a broad range of alternative decisions. This work aims to couple DT and AI technologies in a framework where training, testing, and deployment of AI agents is made more efficient in production scheduling applications. A set of different AI agents were developed, utilizing key optimization technologies such as mathematical programming, deep learning, heuristic algorithms, and deep reinforcement learning are developed to address hard production schedule optimization problems. DT is the pilar technology, which is used to simulate accurately the production environment and allow the agents to reach higher efficiency. On top of that, Asset Administration Shell (AAS) technology, being the pilar components of Industry 4.0 (I4.0), was used for transferring data in a standardized format in order to provide interoperability within the multi-agent system (MAS) and compatibility with the rest of I4.0 ecosystem. The system validation was provided in the manufacturing system of the bicycle industry by improving the business performance.
Misrepresentation in Educational Media (1954–1999)
Authors: Gellman Mneesha 
Published: February 2024

AbstractIn this chapter, eight textbooks are analyzed from the years 1954 through 1999. From dissecting quotes, images, and maps within the textbooks, the textbook rhetoric is highly steeped in themes of White glory, White superiority, and White supremacy. There is excess justification on why White colonizers had to take over Native land, and very little mention on the plights of Mexican or Mexican American experiences in the 1800s Mexican-American War. Textbooks of this time were highly inaccurate and avoided the hard truths. Beginning in the 1980s, though, some of the analyzed textbooks started to improve by providing more accurate representations of the plights experienced by Native Americans, but the textbooks remain problem-ridden.
Kids These Days: Ethnographic Evidence on the Impact of Textbook Misrepresentation
Authors: Gellman Mneesha 
Published: February 2024

AbstractTo expand on the importance of culturally relevant curricula and textbooks, this chapter features the voices of students themselves, who attend various schools in far Northern California. Each have their own backgrounds and personal stories tied to their cultures, but much of their points are the same. They wish for things like teachers who understand their experiences and classroom activities and textbooks that include Native and other BIPOC experiences. Highlighting student voices and perspectives shows the dire need facing the US school system today when it comes to curricula being taught.
Digital Twin for Aerial-Ground Networks
Authors: Zhang Yan 
Published: February 2024

AbstractWith the widespread deployment of unmanned aerial vehicles (UAVs) in civil and military fields, researchers have turned their attention towards the emerging area of aerial-ground networks for computing-intensive applications, data-intensive applications, and network-intensive applications. However, the application of aerial-ground networks relies on dynamic perceptions and intelligent decision making, which are difficult to conceive of due to the heterogeneity of ground devices and the complexity of the aerial-ground environment. The convergence of digital twin (DT) and UAVs has great potential to tackle the challenge and improve the service quality and stability in applications such as rescue and search and communication relaying. This chapter first investigates the advantages, challenges, and key techniques of DTs for aerial-ground networks. In addition, we highlight the main issues of DT for UAV-assisted aerial-ground networks with two case studies, including cross-domain resource management and intelligent cooperation among devices.
Startup Creation Beyond Hackathons – A Survey on Startup Development and Support
Authors: Angarita Maria Angelica Medina , Kolnes Martin , Nolte Alexander 
Published: February 2024

AbstractHackathons are themed, fast-paced events where participants gather in teams to work on a project of their interest. Hackathons are often organized to drive entrepreneurial behavior, however, little is known about how they have supported startup creation. To address this issue, we conducted a cross-sectional survey among hackathon participants about their motivations for participating in a hackathon including creating a new startup product and advancing their careers. The survey also addressed their perceived hackathon benefits related to entrepreneurship, such as learning and networking, and how useful they were to their startups. Moreover, the survey included aspects of the hackathon setting that may have influenced startup creation, including winning awards. We obtained answers from participants who have attended 48-h, in-person hackathons. We found motivations related to entrepreneurship that were related to startup creation, such as learning about the startup domain. Our findings show that participants with entrepreneurial motivations are more likely to create a startup after the hackathon. We also found that participants with startups in an early stage have attended hackathons motivated to build the initial version of their startup product, however, they have also worked on other projects unrelated to their startup. To support startup creation beyond hackathons, organizers should gain awareness of such hackathon participants who are motivated by entrepreneurship.
Towards a Business Case for AI Ethics
Authors: Agbese Mamia , Halme Erika , Mohanani Rahul , Abrahamsson Pekka 
Published: February 2024

AbstractThe increasing integration of artificial intelligence (AI) into software engineering (SE) highlights the need to prioritize ethical considerations within management practices. This study explores the effective identification, representation, and integration of ethical requirements guided by the principles of IEEE Std 7000–2021. Collaborating with 12 Finnish SE executives on an AI project in autonomous marine transport, we employed an ethical framework to generate 253 ethical user stories (EUS), prioritizing 177 across seven key requirements: traceability, communication, data quality, access to data, privacy and data, system security, and accessibility. We incorporate these requirements into a canvas model, the ethical requirements canvas. The canvas model serves as a practical business case tool in management practices. It not only facilitates the inclusion of ethical considerations but also highlights their business value, aiding management in understanding and discussing their significance in AI-enhanced environments.
Practitioner Views on Analytics for Software Startups: A Preliminary Guide Based on Gray Literature
Authors: Rafiq Usman , Pattyn Frédéric , Wang Xiaofeng 
Published: February 2024

AbstractSoftware startup companies operate under extreme conditions of uncertainty and with limited resources. These innovative companies face constant pressure to find a product-market fit, drive growth, and maintain competitive advantage. The nature of these companies makes them suitable candidates to practice analytics. Analytics can help software startups to use data in several ways e.g. make data-informed decisions, grow business, and provide value to users. However, startup founders tend to put off practicing analytics for a later time. In addition, the existing literature on startups does not provide paved paths to establish analytics in the context of startups. Therefore, to this end, we perform a gray literature review, to understand what startup practitioners say about analytics benefits and how can startups define analytics within their particular context. We utilized YouTube as a source of our data. After applying inclusion and exclusion criteria to 400 videos, we ended up analyzing 16 potentially relevant videos. We used thematic synthesis as well as quasi-statistics to analyze the data. Our results identify and report ten analytics benefits, and two key analytics practices to set up analytics in these competitive environments.
DevOps Challenges and Risk Mitigation Strategies by DevOps Professionals Teams
Authors: Azad Nasreen 
Published: February 2024

AbstractDevOps is a team culture and organizational practice that eliminates inefficiencies and bottlenecks in the DevOps infrastructure. While many companies are adopting DevOps practices, it can still be risky. We conducted 26 interviews with DevOps professionals around the globe and found four major risks associated with DevOps practices: Organizational risks (Intra-organizational collaboration and communication, strategic planning), Social and cultural risks (Team Dynamics, Cultural shift), Technical risks (Integration, Build and test automation), Ethics and security breaches in DevOps environment (Ethical risks, Data collection ethics, Ethical decision making). Our research also identified several risk mitigation strategies namely continuous testing, using infrastructure as code, security audit and monitoring, disaster recovery planning, cross-functional training, proper documentation, continuous learning, continuous improvement etc. that companies can adopt for better performance and efficiency.
Quantum Software Ecosystem: Stakeholders, Interactions and Challenges
Authors: Stirbu Vlad , Mikkonen Tommi 
Published: February 2024

AbstractThe emergence of quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. The ability of quantum computers to scale computations imply better performance and efficiency for certain algorithmic tasks than current computers provide. However, to gain benefit from such improvement, quantum computers must be integrated with existing software systems, a process that is not straightforward. In this paper, we investigate the quantum computing ecosystem and the stakeholders involved in building larger hybrid classical-quantum systems. In addition, we discuss the challenges that are emerging at the horizon as the field of quantum computing becomes more mature.
Artificial Intelligence Procurement Assistant: Enhancing Bid Evaluation
Authors: Waseem Muhammad , Das Teerath , Paloniemi Teemu , Koivisto Miika , Räsänen Eeli , Setälä Manu , Mikkonen Tommi 
Published: February 2024

AbstractIn modern business, maintaining competitiveness and efficiency necessitates the integration of state-of-the-art technology. This paper introduces the Artificial Intelligence Procurement Assistant (AIPA), an advanced system co-developed with Solita, a Finnish software company. AIPA leverages Large Language Models (LLMs) and sophisticated data analytics to enhance the assessment of procurement call bids and funding opportunities. The system incorporates LLM agents to enhance user interactions, from intelligent search execution to results evaluation. Rigorous usability testing and real-world evaluation, conducted in collaboration with our industry partner, validated AIPA’s intuitive interface, personalized search functionalities, and effective results filtering. The platform significantly streamlines the identification of optimal calls by synergizing LLMs with resources from the European Commission TED and other portals. Feedback from the company guided essential refinements, particularly in the performance of ChatGPT agents for tasks like translation and keyword extraction. Further contributing to its scalability and adaptability, AIPA has been made open-source, inviting community contributions for its ongoing refinement and enhancement. Future developments will focus on extensive case studies, iterative improvements through user feedback, and expanding data sources to further elevate its utility in streamlining and optimizing procurement processes.
Entropies and reflected entropies in the Hayden-Preskill protocol
Authors: Czech Bartłomiej , Shuai Sirui , Tang Haifeng 
Published: February 2024

Abstract
We revisit information retrieval from evaporating black holes in the Hayden-Preskill protocol, treating the black hole dynamics as Haar-random. We compute, down to the first exponentially suppressed terms, all integer-indexed Rényi mutual informations between a black hole, its radiation, and a reference that catalogues Alice’s diaries. We find that dropping a diary into a young black hole effectively delays the Page time. We also compute the radiation: diary reflected Rényi entropies, and identify a technical reason why they cannot be continued to the reflected entropy by the replica trick.
A Classification of Supersymmetric Kaluza–Klein Black Holes with a Single Axial Symmetry
Authors: Katona David 
Published: February 2024

AbstractWe extend the recent classification of five-dimensional, supersymmetric asymptotically flat black holes with only a single axial symmetry to black holes with Kaluza–Klein asymptotics. This includes a similar class of solutions for which the supersymmetric Killing field is generically timelike, and the corresponding base (orbit space of the supersymmetric Killing field) is of multi-centred Gibbons–Hawking type. These solutions are determined by four harmonic functions on $$\mathbb {R}^3$$

R

3

with simple poles at the centres corresponding to connected components of the horizon, and fixed points of the axial symmetry. The allowed horizon topologies are $$S^3$$

S
3

, $$S^2\times S^1$$

S
2

×

S
1

, and lens space L(p, 1), and the domain of outer communication may have non-trivial topology with non-contractible 2-cycles. The classification also reveals a novel class of supersymmetric (multi-)black rings for which the supersymmetric Killing field is globally null. These solutions are determined by two harmonic functions on $$\mathbb {R}^3$$

R

3

with simple poles at centres corresponding to horizon components. We determine the subclass of Kaluza–Klein black holes that can be dimensionally reduced to obtain smooth, supersymmetric, four-dimensional multi-black holes. This gives a classification of four-dimensional asymptotically flat supersymmetric multi-black holes first described by Denef et al.
Digitally supported participation in the nexus between public health and urban planning
Authors: Shrestha Rehana , Hasselder Pia , Bolte Gabriele 
Published: February 2024

AbstractThe nexus between urban planning and public health acknowledges the importance of creating cities that contribute to their residents’ physical, mental, and social well-being. The Healthy Cities movement underlines that community participation and intersectoral work are important to create sustainable, equitable, and healthy cities.Several theoretical and practical participatory approaches form the foundation for participation in public health and urban planning. Growing digitalization has significantly transformed how participation is conducted in various fields. Digital technologies not only play a large role in daily life, but they have opened more opportunities for individuals to interact, share, and collaborate in the planning and design of cities.This article explores how digital technologies enable participation among residents and stakeholders in order to support the health-oriented planning of cities and neighborhoods. From the selective case studies presented in the paper, it can be ascertained that digital technologies can support various forms of participation by enabling different levels of engagement as well as both one-way and two-way interactions. Some forms of engagement can be supported entirely within digital platforms. However, in the case of higher engagement, which requires deeper insights into the problems and the codevelopment of solutions, other nondigital formats and traditional methods such as follow-up workshops and focus group discussions are necessary to complement the digital form of participation.
Semirigid ureteroscopy and tamsulosin therapy as dilatation methods before flexible ureteroscopy: evaluation and benefits
Authors: Ali Ahmed Issam , Abdelfadel Abdelsalam , Rohiem Mahmoud F. , Hassan Ali 
Published: February 2024

Abstract
Objective
To evaluate the effect of semirigid ureteroscopy and tamsulosin therapy as dilatation methods before flexible ureteroscopy advancement to the renal collecting system.

Patients and methods
This prospective study included patients with renal stones less than 2 cm who underwent retrograde flexible ureteroscopy and laser lithotripsy. The patients were randomized into two groups: group A patients were given a placebo for 1 week before flexible ureteroscopy, and group B patients were administered 0.4 mg of tamsulosin once daily for 1 week before surgery and underwent active dilatation using semirigid ureteroscopy before flexible ureteroscopy. The ability of the flexible ureteroscope to reach the collecting system in both groups during the same operative session was assessed. Operative outcomes and complications were collected and analyzed in both groups.

Results
A total of 170 patients were included in our study, with each group comprising 85 patients. In group B, the flexible ureteroscope successfully accessed the kidney in 61 patients, while in group A, the flexible ureteroscope was successful only in 28 cases (71.4% versus 32.9%). In group A, 33 (38.8%) patients had lower urinary tract symptoms compared to 17 (20.2%) patients in group B (P = 0.013).

Conclusion
Using tamsulosin therapy and semirigid ureteroscopy as dilatation methods before flexible ureteroscopy increased the success of primary flexible ureteroscopy advancement to renal collecting system.