bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of the ETL titanium dioxide layer for inorganic perovskite solar cells
Authors: Bulowski Wojciech , Szwanda Agata , Gawlińska-Nęcek Katarzyna , Panek Piotr , Lipiński Marek , Janusz-Skuza Marta , Szczerba Maciej Jakub , Majchrowicz Łukasz , Mahapatra Apurba , Prochowicz Daniel , Starowicz Zbigniew 
Published: April 2024

AbstractTitanium dioxide layers are the most popular electron transport layer (ETL) in perovskite solar cells. However most studies focuses on mesoporous structure and application with organic–inorganic hybrid perovskite. In this study, the topic of ETL in planar structure of inorganic CsPbBr3 perovskite solar cells was tackled, the presented approach will reduce production costs and improve cell stability, which is the greatest drawback of perovskite cells especially organic–inorganic perovskite. The potential application of these technology are greenhouses and building integrated PV sector. Here, the two TiO2 precursors titanium(IV) ethoxide in ethanol and titanium(IV) bis(acetylacetonate) diisopropoxide (Tiacac) were investigated, optimized and compared. TiO2 layers were deposited on high roughness FTO, without the use of a mesoporous layer, by spin coating method. The correlation between stock solution concentration and thickness of manufactured layers was tracked for both precursors as well as their difference in morphology of the final films and other properties. In particular, conformality and optical properties are better for Tiacac. Slightly lower refractive index of Tiacac-based titania reduced the reflective losses from 7.3 to 6.9% effectively. The obtained layers were used for inorganic solar cells of CsPbBr3 perovskite to finally settle the issue of optimal thickness and precursor. It is interesting that despite the supremacy in investigated properties of commonly used of the precursor Tiacac, the results of the cells pointed to the Tieth. The efficiency of the champion cell is 6.08% for Tieth, while 5.62% is noted for Tiacac. Trying to figure out this riddle, we shed a new light on the phenomena going on the ETL/inorganic perovskite interface investigating nanoroughness.
Submerged Fermentation and Kinetics of Newly Isolated Priestia megaterium for the Production of Biopolymer Curdlan
Authors: Aquinas Natasha , Bhat Ramananda M. , Selvaraj Subbalaxmi 
Published: April 2024

AbstractIn this study, a curdlan-producing bacterium was isolated from Cow pea soil and identified as Priestia megaterium based on 16 S rRNA sequencing. To identify the most suitable carbon and nitrogen sources for curdlan production, submerged fermentation studies with different sources was carried out. To enhance the curdlan yield, optimization by one-factor-at-a-time approach was conducted. The optimal fermentation media consisted of 15% (w/v) sucrose, 0.1% (w/v) urea, 0.1% (w/v) KH2PO4, 0.04% (w/v) MgSO4·7H2O, trace elements, initial pH of 7.0 with 10% (v/v) inoculum size and agitation speed of 180 rpm. Kinetics of growth, curdlan yield, sucrose and ammonia depletion were studied for a period of 168 h. Maximum curdlan yield (0.31 g/L) was achieved at 96 h of fermentation. At this point, the fermentation media had an optical density of 9.68, biomass concentration of 4.26 mg/mL, and viable count of 2.4 × 104 CFU/mL. Additionally, the maximum percentage consumption of sucrose and ammonia over 168 h of fermentation were 75 and 62.5%, respectively. Finally, the identity of biopolymer curdlan was validated through characterization techniques such as Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM) and Thermogravimetric analysis (TGA). Some characteristic features of curdlan such as the β-1,3-linkage was depicted by the absorption band at 890 cm−1 in FTIR, flaky granules with irregularities as seen in SEM, and thermal degradation between 235 and 350 °C by TGA. To the best of our knowledge, this is the first report on curdlan production from Priestia megaterium.
From MNIST to ImageNet and back: benchmarking continual curriculum learning
Authors: Faber Kamil , Zurek Dominik , Pietron Marcin , Japkowicz Nathalie , Vergari Antonio , Corizzo Roberto 
Published: April 2024

AbstractContinual learning (CL) is one of the most promising trends in recent machine learning research. Its goal is to go beyond classical assumptions in machine learning and develop models and learning strategies that present high robustness in dynamic environments. This goal is realized by designing strategies that simultaneously foster the incorporation of new knowledge while avoiding forgetting past knowledge. The landscape of CL research is fragmented into several learning evaluation protocols, comprising different learning tasks, datasets, and evaluation metrics. Additionally, the benchmarks adopted so far are still distant from the complexity of real-world scenarios, and are usually tailored to highlight capabilities specific to certain strategies. In such a landscape, it is hard to clearly and objectively assess models and strategies. In this work, we fill this gap for CL on image data by introducing two novel CL benchmarks that involve multiple heterogeneous tasks from six image datasets, with varying levels of complexity and quality. Our aim is to fairly evaluate current state-of-the-art CL strategies on a common ground that is closer to complex real-world scenarios. We additionally structure our benchmarks so that tasks are presented in increasing and decreasing order of complexity—according to a curriculum—in order to evaluate if current CL models are able to exploit structure across tasks. We devote particular emphasis to providing the CL community with a rigorous and reproducible evaluation protocol for measuring the ability of a model to generalize and not to forget while learning. Furthermore, we provide an extensive experimental evaluation showing that popular CL strategies, when challenged with our proposed benchmarks, yield sub-par performance, high levels of forgetting, and present a limited ability to effectively leverage curriculum task ordering. We believe that these results highlight the need for rigorous comparisons in future CL works as well as pave the way to design new CL strategies that are able to deal with more complex scenarios.
The impact of brand equity on profit premium in an equilibrium framework
Authors: Sándor Zsolt , Szőcs Attila , Wildenbeest Matthijs R. 
Published: April 2024

AbstractRecent research extends the estimation and analysis of structural demand and supply models to consider the concepts of brand equity and brand value and their role in product investment decisions. In this paper, we analyze data from the Dutch market for new cars to show that differences in brand equity may also entail significant differences in marginal costs. Next, we illustrate that ignoring the role of brand equity in marginal costs, as the existing literature has, ignores the possibility that investments in brand equity may actually reduce the marginal profits for the offering. This can change investment incentives and produce different market structures.
An Uneasy Peace: How STEM Progressive, Traditionalist, and Bridging Faculty Understand Campus Conflicts over Diversity, Anti-Racism, and Free Expression
Authors: Brint Steven , Webb Megan , Fields Benjamin 
Published: April 2024

AbstractIn recent years an uneasy peace has descended in U.S. academe between those who feel research universities have done too little to advance the representation of minority groups and women and those who feel that the administrative policies developed to improve representation can and sometimes do come into conflict with core intellectual commitments of universities. Using quantitative and qualitative evidence from interviews with 47 natural sciences, engineering, and mathematics faculty members at a U.S. research university, the paper examines the background characteristics of three sets of protagonists - academic progressives, academic traditionalists, and those whose views bridge the divide - and the way respondents discussed and justified their viewpoints. The paper draws on the theory of strategic action fields to illuminate the structure and dynamics of the conflict and suggests modifications to the theory that would improve its explanatory power for this case.
Unlocking the potential of adeno-associated virus in neuroscience: a brief review
Authors: Minetti Antea 
Published: April 2024

Abstract
Adeno-associated virus (AAV) has emerged as a pivotal tool in neuroscience research, owing to its remarkable versatility and efficiency in delivering genetic material to diverse cell types within the nervous system. This mini review aims to underscore the advanced applications of AAV vectors in neuroscience and their profound potential to revolutionize our understanding of brain function and therapeutic interventions for neurological disorders. By providing a concise overview of the latest developments and strategies employing AAV vectors, this review illuminates the transformative role of AAV technology in unraveling the complexities of neural circuits and paving the way for innovative treatments. Through elucidating the multifaceted capabilities of AAV-mediated gene delivery, this review underscores its pivotal role as a cornerstone in contemporary neuroscience research, promising remarkable insights into the intricacies of brain biology and offering new avenues for therapeutic intervention.
Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure
Authors: Trojanowski Piotr , Husár Jozef , Hrehová Stella , Knapčíková Lucia 
Published: April 2024

AbstractIncreased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author’s proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.
Beam modeling in a floating frame of reference for torsion dynamics of helicopter rotor blades
Authors: Weiss Felix , Merlis Joshua 
Published: April 2024

Abstract
In the ongoing development of DLR’s Versatile Aeromechanics Simulation Tool, an elastic-beam model is integrated into the multibody system based on the floating frame-of-reference formulation. Although the application of this formulation for one-dimensional beam models has already been addressed in the literature, the challenge remains to properly model the torsion dynamics of rotor blades – especially under high centrifugal loads. To this aim, this work suggests the consideration of rotational shape functions in the inertia shape integrals and in the application of gravitational, inertial, and external loads. This modified approach is validated based on the structural analysis of a rotor blade with complex geometrical properties.
What word-prosodic typology is missing: Motivating foot structure as an analytical tool for syllable-internal prosodic oppositions
Authors: Köhnlein Björn , Cameron Ian S. 
Published: April 2024

AbstractA notoriously contested subarea of phonological typology is word-prosodic typology, which governs suprasegmental structure (such as tone, syllable structure and stress) at the word level. Within word-prosodic typology, it is widely recognized that some languages have so-called stress systems while others have lexical-tone systems. Other languages appear to have intermediate systems, with properties of both stress and lexically contrastive tone. Certain types of such intermediate systems are at the core of ongoing theoretical debates on the nature of word- prosodic systems, viz. language varieties with contrasts between two word tones that are restricted to the main-stressed syllables of a word, a phenomenon that is often descriptively referred to as tonal accent. In this paper, we aim to show that exploring tone-accent systems in detail has the potential to significantly contribute to word-prosodic typology, specifically concerning the foot as a tool for the analysis of syllable-internal prosodic contrasts. The phonology of tonal accent in Franconian (a variety of West Germanic spoken in parts of Belgium, Germany, and the Netherlands) will be the main piece of evidence supporting our claims, with a focus on predictable interactions between segmental structure and accentuation. A central implication of our analysis is that tonal contrasts within syllables can sometimes derive from two types of feet being active in the same prosodic system. We support the Franconian evidence with analogous tone-segment interactions in Estonian and discuss the relevance of our claims in the broader context of word-prosodic typology.
Screening and surveillance recommendations for central nervous system hemangioblastomas in pediatric patients with Von Hippel-Lindau disease
Authors: Knoblauch Anna Laura , Blaß B.-I. , Steiert C. , Neidert N. , Puzik A. , Neumann-Haefelin E. , Ganner A. , Kotsis F. , Schäfer T. , Neumann H.P.H. , Elsheikh S. , Beck J. , Klingler J.-H. 
Published: April 2024

Abstract
Purpose
Von Hippel-Lindau (VHL) disease is an autosomal-dominantly inherited tumor predisposition syndrome. One of the most common tumors are central nervous system (CNS) hemangioblastomas. Recommendations on the initiation and continuation of the screening and surveillance program for CNS tumors in pediatric VHL patients are based on small case series and thus low evidence level. To derive more robust screening recommendations, we report on the largest monocentric pediatric cohort of VHL patients.

Methods
We performed a retrospective analysis on a pediatric cohort of 99 VHL patients consulted at our VHL center from 1992 to 2023. Clinical, surgical, genetic, and imaging data were collected and statistically analyzed.

Results
42 patients (50% male) developed CNS hemangioblastomas, of whom 18 patients (56% male) underwent hemangioblastoma surgery (mean age at first surgery: 14.9 ± 1.9 years; range 10.2–17). The first asymptomatic patient was operated on at the age of 13.2 years due to tumor progress. Truncating VHL mutation carriers had a significantly higher manifestation rate (HR = 3.7, 95% CI: 1.9–7.4, p < 0.0001) and surgery rate (HR = 3.3, 95% CI: 1.2–8.9, p = 0.02) compared with missense mutation carriers.

Conclusion
We recommend starting MRI imaging at the age of 12 years with examination intervals every (1-) 2 years depending on CNS involvement. Special attention should be paid to patients with truncating variants. Affected families should be educated regularly on potential tumor-associated symptoms to enable timely MRI imaging and eventually intervention, as CNS hemangioblastoma may develop before screening begins.

German clinical trials Register registration number
DRKS00029553, date of registration 08/16/2022, retrospectively registered.
Explaining differences in research utilization in evidence-based government ministries
Authors: Kelstrup Jesper Dahl , Jørgensen Jonas Videbæk 
Published: April 2024

AbstractStudies of evidence-based policy have found that research often fails to influence policy-making and identify a number of barriers to research utilization. Less is known about what public administrations do to overcome such barriers. The article draws on a content analysis of 1,159 documents and 13 qualitative interviews to compare how and why evidence standards affect research utilization in two Danish ministries with available evidence, policy analytical capacity, and broad political agreement on key policy goals. The article finds support for the proposition that more exclusive evidence standards in ministries will lead to higher levels of research utilization by showing that average levels of research utilization are higher in the Ministry of Employment than in the Ministry of Children and Education in the period 2016?2021. In active employment policy the adoption an evidence hierarchy and the accumulating evidence in a knowledge bank has interacted with stakeholder support and a continued coordination with the Ministry of Finance to provide economic incentives for policy-makers to adopt evidence-based policies thus stimulating research utilization. Evidence for public education policy, by contrast, has been more contested and the Ministry of Children of Education retains inclusive evidence standards in an attempt to integrate evidencebased and practical knowledge from stakeholders, which has led to lower average levels of utilization in the period.
New data and descriptor for crowdfunding and renewable energy
Authors: Salerno Dario , Gatto Andrea , Russo Simona 
Published: April 2024

AbstractThis work exhibits an extensive panel dataset and data descriptor on the crowdfunding-renewable energy nexus. This new source of data may find large use in energy economics, econometrics and policy, as well as financial and microfinance analysis. The referred dataset is made of 4704 observations to related to crowdfunding campaigns from 2009 to 2021. Data can be used for diverse energy econometrics studies and data analysis, especially for socioeconomic and environmental aspects of energy innovation and efficiency investigations. The contribution offered by this paper is the correlation between two salient aspects for the first time. We have cross-referenced the data related to crowdfunding campaigns with the sustainable orientation of the countries. The extrapolated data from two datasets—i.e., Zephyr Bureau Van Dijk and the World Bank’s World Development Indicators—form a new dataset that serves as a tool, as well as a guide, for future studies related to renewable energy, fintech, economic, innovation and entrepreneurship issues. Moreover, this contribution may stimulate the development of new policies and strategies aimed at supporting the transition towards the circular economy and sustainable development by creating positive externalities on a large scale by increasing social welfare and resilience applications.
Understanding differences of the OA uptake within the German University landscape (2010–2020): Part 2—repository-provided OA
Authors: Taubert Niels , Hobert Anne , Jahn Najko , Bruns Andre , Iravani Elham 
Published: April 2024

AbstractThis article is the second part of the investigation of the determinants for the uptake of Open Access (OA). While the first part focusses on journal-based OA (hybrid and full OA) (Taubert et al. in Scientometrics 128(6):3601–3625, 2023), the article at hand investigates the determinants for the uptake of institutional and subject repository OA in the university landscape of Germany. Both articles consider three types of factors: the disciplinary profile of universities, their OA infrastructures and services and large transformative agreements The article also apply a conjoint methodological design: the uptake of OA as well as the determinants are measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For universities’ OA infrastructures and services, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both institutional as well as subject repository OA. Given that both articles derive from the same project, there is a thematical overlap in the methods and data section. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both repository OA-types turned out to be the disciplinary profile, whereas all variables that capture local infrastructural support and services for OA turned out to be non-significant. The outcome of the regression analyses is contextualised by an interview study conducted with 20 OA officers of German universities. The contextualisation provides hints that the original function of institutional repositories, offering a channel for secondary publishing is vanishing, while a new function of aggregation of metadata and full texts is becoming of increasing importance.
Anatomy’s role in mechanistic explanations of organism behaviour
Authors: Dewey Aliya R. 
Published: April 2024

AbstractExplanations in behavioural neuroscience are often said to be mechanistic in the sense that they explain an organism’s behaviour by describing the activities and organisation of the organism’s parts that are “constitutively relevant” to organism behaviour. Much has been said about the constitutive relevance of working parts (in debates about the so-called “mutual manipulability criterion”), but relatively little has been said about the constitutive relevance of the organising relations between working parts. Some New Mechanists seem to endorse a simple causal-linking account: organising relations are constitutively relevant to organism behaviour if and only if (and because) they are causal relations that link the working parts that are constitutively relevant to organism behaviour. In this paper, I argue that the causal-linking account is inadequate because it neglects the constitutive relevance of anatomical relations that organise the working parts of a behaving organism. I demonstrate this by considering a case study where the anatomical organisation of the barn owl (Tyto alba) is constitutively relevant to their mechanism for sound localization. The anatomical organisation of this mechanism is best understood as the back-and-forth flow of task information across 7 “levels of anatomy” (a notion that I distinguish from levels of mechanism). A further implication, I conclude, is that at least some of the interlevel structure of neuroscientific explanation is accounted for by levels of anatomy, not levels of mechanism.