bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions
Authors: Parycek Peter , Schmid Verena , Novak Anna-Sophie 
Published: June 2023

AbstractIntegrating artificial intelligence (AI) systems into administrative procedures can revolutionize the way processes are conducted and fundamentally change established forms of action and organization in administrative law. However, implementing AI in administrative procedures requires a comprehensive evaluation of the capabilities and limitations of different systems, including considerations of transparency and data availability. Data are a crucial factor in the operation of AI systems and the validity of their predictions. It is essential to ensure that the data used to train AI algorithms are extensive, representative, and free of bias. Transparency is also an important aspect establishing trust and reliability in AI systems, particularly regarding the potential for transparent representation in rule-based and machine-learning AI systems. This paper examines the potential and challenges that arise from integrating AI into administrative procedures. In addition, the paper offers a nuanced perspective on current developments in artificial intelligence and provides a conceptual framework for its potential applications in administrative procedures. Beyond this, the paper highlights essential framework conditions that require continuous monitoring to ensure optimal results in practice.
The effect of reservoir geometry on the critical submergence depth in hydroelectric power plants intake
Authors: Roshan Reza , Ghobadian Rasool 
Published: June 2023

AbstractThe most important design index of water intakes is critical submergence depth of the intake. The depth at which the air core formed by the vortex is about to enter the intake. The emergence of a vortex and air entry into the intake increase head loss and decrease discharge coefficient. The reservoir geometric asymmetry, presence of unevenness in the bottom of the reservoir and angle of approach flow are among the factors that influence formation of the vortex and critical submergence depth. In this research, a physical model has been used to investigate the effect of reservoir geometry on the critical submergence depth. This model is designed in such a way that it can produce the strongest type of vortices with air core and with different strengths. The results showed that by creating asymmetry in the flow approaching the water intake (with side blockage in upstream), the presence of even 10% side blockage can have a great effect on the formed vortex and increase the critical submergence depth by about two times. To create uneven conditions on the reservoir bottom, blockages were created on the bottom of the reservoir upstream of the intake. The results showed that the blockage up to half of the height below the intake caused an increase of about 10–25% of the critical submergence depth, in low and high Froude numbers, respectively. However, in blockages more than half of the height below the intake, this effect increases about 60% of the critical submergence depth. In addition, the effect of the slope of the intake head wall on the order (type) of the vortex and its stability and instability was studied, and it was found that the order of the vortex decreases with the increase in the slope of the head wall toward the vertical position. Also, by increasing the slope of the head wall, the vortices form in an unstable manner. The vertical head wall can act as an anti-vortex structure and cause a reduction in critical submergence depth.
Lie symmetry analysis and some new exact solutions of the Fokker–Planck equation
Authors: Al-Nassar Samar , Nadjafikhah Mehdi 
Published: June 2023

AbstractThe classical symmetry method is often employed to find precise solutions to differential equations. This method has yielded several new symmetry reductions and exact solutions for numerous theoretically and physically relevant partial differential equations. These results, as well as the symmetries of a variety of specific cases of the Fokker–Planck equation, were presented in this study using the classical Lie symmetry approach. New exact solutions to the Fokker–Planck equations are provided for each of the six cases.
AI and IP: Theory to Policy and Back Again – Policy and Research Recommendations at the Intersection of Artificial Intelligence and Intellectual Property
Authors: Picht Peter Georg , Thouvenin Florent 
Published: June 2023

AbstractThe interaction between artificial intelligence and intellectual property rights (IPRs) is one of the key areas of development in intellectual property law. After much, albeit selective, debate, it seems to be gaining increasing practical relevance through intense AI-related market activity, an initial set of case law on the matter, and policy initiatives by international organizations and lawmakers. Against this background, Zurich University’s Center for Intellectual Property and Competition Law is conducting, together with the Swiss Intellectual Property Institute, a research and policy project that explores the future of intellectual property law in an AI context. This paper briefly describes the AI/IP Research Project and presents an initial set of policy recommendations for the development of IP law with a view to AI. The recommendations address topics such as AI inventorship in patent law; AI authorship in copyright law; the need for sui generis rights to protect innovative AI output; rules for the allocation of AI-related IPRs; IP protection carve-outs in order to facilitate AI system development, training, and testing; the use of AI tools by IP offices; and suitable software protection and data usage regimes.
Is there any correlation between otitis media and dental malocclusion in children? A systematic review
Authors: Bardellini E. , Amadori F. , Garo M. L. , Majorana A. , Conti G. 
Published: June 2023

Abstract
Purpose
This study aims to evaluate whether there is a correlation between otitis and dental malocclusions.

Methods
Electronic databases were searched for observational studies published until July 2021 without language or time restrictions. PROSPERO: CRD42021270760. Observational studies on children with and without OM and/or malocclusion were included. After removing duplicates and excluding not-eligible articles, two reviewers screened relevant articles independently. Two reviewers independently extracted data and assessed data quality and validity through the Newcastle–Ottawa Scale (NOS) quality assessment tool for non-randomized studies.

Results
Five studies met the selection inclusion criteria and were included in the studies for a total of 499 patients. Three studies investigated the relationship between malocclusion and otitis media, while the remaining two studies analyzed the inverse relationship and one of them considered eustachian tube dysfunction as a proxy of OM. An association between malocclusion and otitis media and vice versa emerged, although with relevant limitations.

Conclusion
There is some evidence that there is an association between otitis and malocclusion; however, it is not yet possible to establish a definitive correlation.
A Qualitative Analysis on the Effectiveness of Peer Feedback in Team-Based Learning
Authors: Lerchenfeldt Sarah , Kamel-ElSayed Suzan , Patino Gustavo , Loftus Stephen , Thomas David M. 
Published: June 2023

Abstract
Introduction
There is limited information on medical students’ perceptions of peer feedback in team-based learning (TBL), both in terms of its value and how it has affected them as they move forward in their careers. The primary goals of this study were to examine students’ perceptions about their peer feedback experiences throughout medical school and into residency and to identify areas for improvement to develop a more valuable experience.

Materials and Methods
This study utilized exploratory qualitative research. A total of six focus group sessions were conducted, in which each group consisted of medical students or residents. All participants were asked for their thoughts about peer feedback using semi-structured interviews. The sessions were transcribed and thematic analysis of student responses was completed by independent reviewers.

Results
A total of 11 first-year, 12 second-year, 12 rising third-year, and 10 rising fourth-year medical students participated in the focus groups. In addition, three graduates participated in the study. Overall, four key themes were identified regarding the peer feedback experience. These included (1) preparation and training, (2) procedure and implementation, (3) evaluation of student feedback, and (4) student considerations.

Discussion
The participants indicated that the idea of providing and receiving effective peer feedback throughout the medical school curriculum was a valuable experience. This analysis raised awareness about several potential areas of difficulty for students in regard to the peer feedback process used in TBL. Quality improvement initiatives may include educating students about the use of constructive feedback, adding self-reflection, or using oral instead of written feedback.
Investigation of the Behavior of Steel Plate Shear Walls Considering Double Corrugated Low-Yield-Point Steel Infill Plate
Authors: Hosseinzadeh Leila , Kontoni Denise-Penelope N. , Babaei Behnam 
Published: June 2023

AbstractDuring the last three decades, interest in the application of steel shear walls has increased worldwide. Steel shear walls are used as stiffened and unstiffened walls. One of the main shortcomings of the steel plate shear wall (SPSW) is the infill plate buckling mainly under lateral wind and seismic loads. One of the useful solutions to prevent lateral buckling is the use of walls with corrugated plates. In this research, the behavior of a steel shear wall consisting of two corrugated plates was investigated in the two material cases of the conventional ASTM A36 steel and the low-yield-point (LYP) steel. The use of steel with low yield strength improves the seismic performance of the steel shear wall system. In this study, the effect of the corrugation angle and aspect ratio of the plate were investigated. The results showed that the effect of corrugation angle on the structural parameters of walls with LYP steel is greater than that of walls with A36 steel. By increasing the corrugation angle from 30° to 60°, the elastic stiffness of A36 and LYP walls decreased about 24 and 36%, respectively, and the response modification factor (Ru) of A36 and LYP walls decreased by about 24 and 56%. The corrugation angle has a lower effect on the ultimate strength and energy absorption. Investigating the effect of aspect ratio showed that increasing the aspect ratio improves the seismic performance of the wall.
Experimental investigation and beam-theory-based analytical model of cross-laminated timber panels buckling behavior
Authors: Fabrizio Cristiano , Sciomenta Martina , Spera Luca , De Santis Yuri , Pagliaro Stefano , Di Egidio Angelo , Fragiacomo Massimo 
Published: June 2023

Abstract
This paper investigates the buckling behavior of three-layered cross-laminated timber (CLT) panels, from both the experimental and analytical standpoints. Two different series of specimens are considered: the homogeneous ones, which are entirely made of beech, and the hybrid ones, whose inner layers are made of Corsican pine. The experimental tests aim to evaluate the failure limit loads of the specimens, when loaded by an increasing compression tip force. The analytical formulation is first obtained for a panel with a generic number of layers and after it is specialized for a three-layered panel. Timber layers are modeled as internally constrained planar Timoshenko beams linked together by adhesive layers, which are modeled as a continuous distribution of normal and tangential elastic springs. A closed-form solution of the buckling problem is obtained. The achieved Eulerian critical load of CLT panels depends on two parameters, which account for (1) the interaction between timber layers (due to the glue tangential stiffness) and (2) the rolling shear stiffness of the inner layer. Three different failure criteria are introduced to estimate the limit load. Finally, the analytical limit loads and the experimental ones are compared.
Ethical considerations in working with ChatGPT on a questionnaire about the future of work with ChatGPT
Authors: Konstantis Konstantinos , Georgas Antonios , Faras Antonis , Georgas Konstantinos , Tympas Aristotle 
Published: June 2023

Abstract
The prospect of the use of Large Language Models, like ChatGPT, in work environments raises important questions regarding both the potential for a dramatic change in the quality of jobs and the risk of unemployment. The answers to these questions, but, also, the posing of questions to be answered, may involve the use of ChatGPT. This, in turn, may give rise to a series of ethical considerations. The article seeks to identify such considerations by presenting a research on a questionnaire that was developed by means of ChatGPT before it was answered, first, by a group of humans (H) and, then, through the use of a machine (M), ChatGPT. The language model was actually used to respond to the questionnaire twice. First, based on its data (M1), and, second, based on it being asked to imitate a human (M2). Based on the significant differences between the H and M answers, and, further, on the noticeable differences occurring within the M answers (the differences between the M1 and M2 answers), the article concludes by registering a cluster of three ethical considerations.
Orienteering with One Endomorphism
Authors: Arpin Sarah , Chen Mingjie , Lauter Kristin E. , Scheidler Renate , Stange Katherine E. , Tran Ha T. N. 
Published: June 2023

AbstractIn supersingular isogeny-based cryptography, the path-finding problem reduces to the endomorphism ring problem. Can path-finding be reduced to knowing just one endomorphism? It is known that a small degree endomorphism enables polynomial-time path-finding and endomorphism ring computation (in: Love and Boneh, ANTS XIV-Proceedings of the Fourteenth Algorithmic Number Theory Symposium, volume 4 of Open Book Ser. Math. Sci. Publ., Berkeley, 2020). An endomorphism gives an explicit orientation of a supersingular elliptic curve. In this paper, we use the volcano structure of the oriented supersingular isogeny graph to take ascending/descending/horizontal steps on the graph and deduce path-finding algorithms to an initial curve. Each altitude of the volcano corresponds to a unique quadratic order, called the primitive order. We introduce a new hard problem of computing the primitive order given an arbitrary endomorphism on the curve, and we also provide a sub-exponential quantum algorithm for solving it. In concurrent work (in: Wesolowski, Advances in cryptology-EUROCRYPT 2022, volume 13277 of Lecture Notes in Computer Science. Springer, Cham, 2022), it was shown that the endomorphism ring problem in the presence of one endomorphism with known primitive order reduces to a vectorization problem, implying path-finding algorithms. Our path-finding algorithms are more general in the sense that we don’t assume the knowledge of the primitive order associated with the endomorphism.
Learning State Transition Rules from High-Dimensional Time Series Data with Recurrent Temporal Gaussian-Bernoulli Restricted Boltzmann Machines
Authors: Watanabe Koji , Inoue Katsumi 
Published: June 2023

AbstractUnderstanding the dynamics of a system is crucial in various scientific and engineering domains. Machine learning techniques have been employed to learn state transition rules from observed time-series data. However, these data often contain sequences of noisy and ambiguous continuous variables, while we typically seek simplified dynamics rules that capture essential variables. In this work, we propose a method to extract a small number of essential hidden variables from high-dimensional time-series data and learn state transition rules between hidden variables. Our approach is based on the Restricted Boltzmann Machine (RBM), which models observable data in the visible layer and latent features in the hidden layer. However, real-world data, such as video and audio, consist of both discrete and continuous variables with temporal relationships. To address this, we introduce the Recurrent Temporal Gaussian-Bernoulli Restricted Boltzmann Machine (RTGB-RBM), which combines the Gaussian-Bernoulli Restricted Boltzmann Machine (GB-RBM) to handle continuous visible variables and the Recurrent Temporal Restricted Boltzmann Machine (RT-RBM) to capture time dependencies among discrete hidden variables. Additionally, we propose a rule-based method to extract essential information as hidden variables and represent state transition rules in an interpretable form. We evaluate our proposed method on the Bouncing Ball, Moving MNIST, and dSprite datasets. Experimental results demonstrate that our approach effectively learns the dynamics of these physical systems by extracting state transition rules between hidden variables. Moreover, our method can predict unobserved future states based on observed state transitions.
The Catalan Centre for Business and Human Rights: Addressing Extraterritorial Corporate Human Rights Abuses at the Subnational Level
Authors: Iglesias Márquez Daniel 
Published: June 2023

AbstractThis piece aims to assess the potential contribution and the scope and structure of a Catalan Centre for Business and Human Rights to supervise the fulfilment of the corporate responsibility to respect human rights and to hold businesses operating in Catalonia accountable for human rights abuses within the autonomous community and abroad. It also examines how this proposal fits into the regional and national regulatory landscape for mandatory human rights due diligence.
Inflammasomes in breast cancer: the ignition spark of progression and resistance?
Authors: Elgohary Sawsan , El Tayebi Hend M. 
Published: June 2023

AbstractInflammation and immune evasion are major key players in breast cancer (BC) progression. Recently, the FDA approved the use of anti-programmed death-ligand 1 antibody (anti-PD-L1) and phosphoinositide 3-kinase (PI3K) inhibitors against aggressive BC. Despite the paradigm shift in BC treatments, patients still suffer from resistance, recurrence and serious immune-related adverse events. These obstacles require unravelling of the hidden molecular contributors for such therapy failure hence yielding therapeutics that are at least as efficient yet safer. Inflammasome pathway is activated when the pattern recognition receptor senses danger signals (danger-associated molecular patterns) from damagedRdying cells or pathogen-associated molecular patterns found in microbes, leading to secretion of the active pro-inflammatory cytokines interleukin-1β(IL-1β) and interleukin-18 (IL-18). It has been shown throughout numerous studies that inflammasome pathway enhanced invasion, metastasis, provoked BC progression and therapy resistance. Additionally, inflammasomes upregulated the proliferative index ki67 and enhanced PD-L1 expression leading to immunotherapy resistance. IL-1βcontributed to significant decrease in oestrogen receptor levels and promoted BC chemo-resistance. High levels of IL-18 in sera of BC patients were associated with worst prognosis. Stimulation of purinergic receptors and modulation of adipokines in obese subjects activated inflammasomes that evoked radiotherapy resistance and BC progression. The micro RNA miR-223-3p attenuated the inflammasome over-expression leading to lowered tumour volume and lessened angiogenesis in BC. This review sheds the light on the molecular pathways of inflammasomes and their impacts in distinct BC subtypes. In addition, it highlights novel strategies in treatment and prevention of BC.
Why the 2020 Belarusian Protests Failed to Oust Lukashenka
Authors: Way Lucan , Tolvin Amelie 
Published: June 2023

AbstractThis article uses a comparison with Ukraine to investigate why protests against Lukashenka in 2020 failed to oust the Belarusian dictator. First, in contrast to his counterparts in Ukraine, Lukashenka successfully built new authoritarian economic and coercive institutions in the 1990s that raised the costs of opposition activity and reduced challengers’ access to business support. Second, Belarus has lacked a strong national identity that was critical to opposition success in Ukraine. In Ukraine, relatively powerful anti-Russian nationalism repeatedly motivated a core group of anti-incumbent activists and facilitated the opposition’s control over local power structures that supported protest activities at critical moments. In Belarus, weak national identity and consequent dearth of committed activists in national government institutions in the 1990s hampered efforts to challenge Lukashenka’s consolidation of authoritarian power. In addition, weaker national identity undermined the capacity of opposition forces to control local power structures that might have aided opposition protest.
DeepGlow: An efficient neural network emulator of physical afterglow models for gamma-ray bursts and gravitational-wave events
Authors: Boersma Oliver M. , van Leeuwen Joeri 
Published: June 2023

Abstract
Gamma-ray bursts (GRBs) and double neutron star merger gravitational-wave events are followed by afterglows that shine from X-rays to radio, and these broadband transients are generally interpreted using analytical models. Such models are relatively fast to execute, and thus easily allow estimates of the energy and geometry parameters of the blast wave, through many trial-and-error model calculations. One problem, however, is that such analytical models do not capture the underlying physical processes as well as more realistic relativistic numerical hydrodynamic (RHD) simulations do. Ideally, those simulations are used for parameter estimation instead, but their computational cost makes this intractable. To this end, we present DeepGlow, a highly efficient neural network architecture trained to emulate a computationally costly RHD-based model of GRB afterglows, to within a few percent accuracy. As a first scientific application, we compare both the emulator and a different analytical model calibrated to RHD simulations, to estimate the parameters of a broadband GRB afterglow. We find consistent results between these two models, and also give further evidence for a stellar wind progenitor environment around this GRB source. DeepGlow fuses simulations that are otherwise too complex to execute over all parameters, to real broadband data of current and future GRB afterglows.
How to Engineer a Quantum Wavefunction
Authors: Evans Peter W. , Hangleiter Dominik , Thébault Karim P. Y. 
Published: June 2023

AbstractIn a conventional experiment, scientists typically aim to learn about target systems by manipulating source systems of the same material type. In an analogue quantum simulation, by contrast, scientists typically aim to learn about target quantum systems of one material type via an experiment on a source quantum system of a different material type. In this article, we argue that such inferences can be justified by reference to source and target quantum systems being of the same empirical type. We illustrate this novel experimental practice of wavefunction engineering with reference to the example of Bose–Hubbard systems.