bluuebunny/crossref_metadata_2025_split huggingface dataset:
Highly Non-contractive Iterated Function Systems on Euclidean Space Can Have an Attractor
Authors: Leśniak Krzysztof , Snigireva Nina , Strobin Filip , Vince Andrew 
Published: June 2024

AbstractIterated function systems (IFSs) and their attractors have been central to the theory of fractal geometry almost from its inception. Moreover, contractivity of the functions in the IFS has been central to the theory of iterated functions systems. If the functions in the IFS are contractions, then the IFS is guaranteed to have a unique attractor. The converse question, does the existence of an attractor imply that the IFS is contractive, originates in a 1959 work by Bessaga which proves a converse to the contraction mapping theorem. Although a converse is true in that case, it is known that it does not always hold for an IFS. In general, there do exist IFSs with attractors and which are not contractive. However, in the context of IFSs in Euclidean space, this question has been open. In this paper we show that a highly non-contractive iterated function system in Euclidean space can have an attractor. In order to do that, we introduce the concept of an L-expansive map, i.e., a map that has Lipschitz constant strictly greater than one under any remetrization. This is necessitated by the absence of positively expansive maps on the interval.
Supervised maximum variance unfolding
Authors: Yang Deliang , Qi Hou-Duo 
Published: June 2024

AbstractMaximum Variance Unfolding (MVU) is among the first methods in nonlinear dimensionality reduction for data visualization and classification. It aims to preserve local data structure and in the meantime push the variance among data as big as possible. However, MVU in general remains a computationally challenging problem and this may explain why it is less popular than other leading methods such as Isomap and t-SNE. In this paper, based on a key observation that the structure-preserving term in MVU is actually the squared stress in Multi-Dimensional Scaling (MDS), we replace the term with the stress function from MDS, resulting in a model that is usable. The property of the usability guarantees the “crowding phenomenon” will not happen in the dimension reduced results. The new model also allows us to combine label information and hence we call it the supervised MVU (SMVU). We then develop a fast algorithm that is based on Euclidean distance matrix optimization. By making use of the majorization-mininmization technique, the algorithm at each iteration solves a number of one-dimensional optimization problems, each having a closed-form solution. This strategy significantly speeds up the computation. We demonstrate the advantage of SMVU on some standard data sets against a few leading algorithms including Isomap and t-SNE.
A new method to calculate LED’s thermal impedance and a new voltage-current formula of LED
Authors: Ozuturk Erdem 
Published: June 2024

AbstractThe thermal impedance and voltage-current relation of LEDs can be obtained using a photodetector response to pulsed light emitted by LEDs. In this study, LEDs have been driven by pulsed high currents. Photodetector voltage is proportional to the radiant power of LED. A triangle has been drawn on the top of the photodetector voltage figure, and some geometrical magnitudes have been measured. The junction temperature can be calculated using these magnitudes and the LED’s relative radiant power-junction temperature coefficient. Thermal impedance can be calculated if junction temperature and ambient temperature difference are divided by thermal power dissipated from the LED. In this study, the thermal impedance of LEDs and their error have been calculated and a new voltage-current formula for LEDs has been given. The formulas for LED junction temperature-time and thermal impedance-time variations have been obtained. Besides these, the maximum pulse duration of the current pulse that the LED can work without breaking down has been calculated.
Impact of pharmacist-evaluated clinical decision support system alerts on potentially missing or inappropriately prescribed proton pump inhibitors at hospital discharge: a retrospective cross-sectional study
Authors: Flückiger Lee , Zaugg Claudia , Fiumefreddo Rico 
Published: June 2024

Abstract
Background
Proton pump inhibitors (PPIs) are among the most prescribed drugs. A clinical decision support system (CDSS) could improve their rational use.

Aim
The impact of an electronic algorithm (e-algorithm) implemented in a CDSS on potentially missing or inappropriately prescribed PPIs at hospital discharge, its specificity and sensitivity, and the outcome of the alerts issued were analysed.

Method
An e-algorithm continuously monitored patients of a tertiary care hospital for missing or inappropriate PPIs. Following relevance assessment by a pharmacist, the alerts raised were either displayed in the patients’ electronic record or dismissed. After a three-month period, all adult patients’ records were retrospectively reviewed for missing or inappropriate PPIs at discharge. The results were compared with a corresponding period before CDSS introduction. Sensitivity, specificity and outcome of alerts were quantified.

Results
In a 3-month period with 5018 patients, the CDSS created 158 alerts for missing PPIs and 464 alerts for inappropriate PPIs. PPI prescribing was proposed 81 times and PPI termination 122 times, with acceptance rates of 73% and 34%, respectively. A specificity of 99.4% and sensitivity of 92.0% for missing PPIs and a specificity of 97.1% and a sensitivity of 69.7% for inappropriate PPIs were calculated. The algorithm reduced incidents of missing PPIs by 63.4% (p < 0.001) and of inappropriate PPIs by 16.2% (p = 0.022).

Conclusion
The algorithm identified patients without necessary gastroprotection or inappropriate PPIs with high specificity and acceptable sensitivity. It positively impacted the rational use of PPIs by reducing incidents of missing and inappropriate PPIs.
Deliberate Ignorance and Myopic Intellectualist Understandings of Expertise: Are Philosophers of Education Epistemic Trespassers in Initial Teacher Education Programmes?
Authors: Dunne Gerry 
Published: June 2024

AbstractThis paper considers in conceptual terms the extent to which pre-service teachers’ disengagement with philosophy of education might usefully be explained in terms of the mistaken charge of (1) ‘epistemic trespassing’ frequently levelled against philosophers of education. This cohort charge philosophers of education with being ultracrepidarians—those who proffer opinions on subjects that they know nothing about. Contra this view, I argue that casting philosophers as epistemic trespassers—lofty theorists with nothing meaningful to contribute to professional practice—is a wrongful charge, or ‘epistemic vice’, based on a series of epistemic mistakes. These, individually and collectively, lead to a series of troubling costs in terms of impoverished professional formation and practice. To diagnose a plausible explanatory account of this phenomenon, I briefly turn to what I consider the main causes of this misattribution—more precisely—the four secondary category mistakes pre-service teachers make. Naturally a qualification is required. I contend these epistemic mistakes can rightfully be attributed to *some pre-service teachers in such determinations, which include: (2) misunderstanding standpoint epistemology (SE) in terms of automatic privilege being coextensive with first-personal authority (FPA); (3) overestimating the added value of deliberate/rational ignorance; (4) misguided intellectualist views of skills and expertise; and, (5) uncritical technicist attempts to emulate TikTok Exemplars with the allure of ‘Insta results’.
Prediction of daily global solar radiation in different climatic conditions using metaheuristic search algorithms: a case study from Türkiye
Authors: Bakır Hüseyin 
Published: June 2024

AbstractToday’s many giant sectors including energy, industry, tourism, and agriculture should closely track the variation trends of solar radiation to take more benefit from the sun. However, the scarcity of solar radiation measuring stations represents a significant obstacle. This has prompted research into the estimation of global solar radiation (GSR) for various regions using existing climatic and atmospheric parameters. While prediction methods cannot supplant the precision of direct measurements, they are invaluable for studying and utilizing solar energy on a global scale. From this point of view, this paper has focused on predicting daily GSR data in three provinces (Afyonkarahisar, Rize, and Ağrı) which exhibit disparate solar radiation distributions in Türkiye. In this context, Gradient-Based Optimizer (GBO), Harris Hawks Optimization (HHO), Barnacles Mating Optimizer (BMO), Sine Cosine Algorithm (SCA), and Henry Gas Solubility Optimization (HGSO) have been employed to model the daily GSR data. The algorithms were calibrated with daily historical data of five input variables including sunshine duration, actual pressure, moisture, wind speed, and ambient temperature between 2010 and 2017 years. Then, they were tested with daily data for the 2018 year. In the study, a series of statistical metrics (R2, MABE, RMSE, and MBE) were employed to elucidate the algorithm that predicts solar radiation data with higher accuracy. The prediction results demonstrated that all algorithms achieved the highest R2 value in Rize province. It has been found that SCA (MABE of 0.7023 MJ/m2, RMSE of 0.9121 MJ/m2, and MBE of 0.2430 MJ/m2) for Afyonkarahisar province and GBO (RMSE of 0.8432 MJ/m2, MABE of 0.6703 MJ/m2, and R2 of 0.8810) for Ağrı province are the most effective algorithms for estimating GSR data. The findings indicate that each of the metaheuristic algorithms tested in this paper has the potential to predict daily GSR data within a satisfactory error range. However, the GBO and SCA algorithms provided the most accurate predictions of daily GSR data.
Integrating Digital Tools to Enhance Access to Learning Opportunities in Project-based Science Instruction
Authors: Fitzgerald Miranda S. , Evans Kaitlyn B. 
Published: June 2024

AbstractDigital technologies and the instructional contexts in which they are embedded can increase students’ access to meaningful learning opportunities. Although there is a tradition of designing and integrating digital tools in secondary-grades project-based science instruction to enhance learners’ access to disciplinary learning, the elementary grades have received less attention. This has left classroom teachers with limited guidance for leveraging affordances of digital tools in project-based learning (PBL) with younger learners. In this article, we describe the design and integration of digital tools in Multiple Literacies in Project-based Learning, a recent elementary-grade project-based science curriculum that integrates literacy and mathematics. We use the principles of Universal Design for Learning to characterize the affordances of these digital tools, with attention to how the interplay of the tools and the PBL environment in which they were embedded enhanced access to learning opportunities for all students.
0–1 Laws for Pattern Occurrences in Phylogenetic Trees and Networks
Authors: Bienvenu François , Steel Mike 
Published: June 2024

AbstractIn a recent paper, the question of determining the fraction of binary trees that contain a fixed pattern known as the snowflake was posed. We show that this fraction goes to 1, providing two very different proofs: a purely combinatorial one that is quantitative and specific to this problem; and a proof using branching process techniques that is less explicit, but also much more general, as it applies to any fixed patterns and can be extended to other trees and networks. In particular, it follows immediately from our second proof that the fraction of d-ary trees (resp. level-k networks) that contain a fixed d-ary tree (resp. level-k network) tends to 1 as the number of leaves grows.
Azimuthal crustal variations and their implications on the seismic impulse response in the Valley of Mexico
Authors: Aguilar-Velázquez Manuel J. , Pérez-Campos Xyoli , Tago Josué , Villafuerte Carlos 
Published: June 2024

Abstract
Previous studies have suggested prominent variations in the seismic wave behavior at the 5 s period when traveling across the Valley of Mexico, associating them with the crustal structure and contributing to the anomalous seismic wave patterns observed each time an earthquake hits Mexico City. This article confirms the variations observed at 0.2 Hz by analyzing the Green tensor diagonal retrieved from empirical Green functions (EGF) calculated using seismic noise data cross-correlations of the vertical and horizontal components. We observe time and phase shifts between the east and north EGF components and show that they can be explained by the crustal structure from the surface up to 20 km depth; we also observe that the time and phase shifts are more significant if the distance between the source and the station increases. Additionally, the article presents an updated version of the velocity model from receiver functions and dispersion curves (VMRFDC v2.0) for the crustal structure under the Valley of Mexico. To validate this model, we compare the EGFs with synthetic Green functions determined numerically. To do so, we adaptatively meshed this model using an iterative algorithm to numerically simulate the impulse response up to 0.5 Hz. Finally, the comparisons between noise and synthetic EGF showed that the VMRFDC v2.0 model explains the time shifts and phase differences at 0.2 Hz, previously observed by independent studies, suggesting it correctly characterizes the crustal structure anomalies beneath the Valley of Mexico.
A Systematic Review to Summarise and Appraise the Reporting of Surgical Innovation: a Case Study in Robotic Roux-en-Y Gastric Bypass
Authors: Huttman Marc M. , Smith Alexander N. , Robertson Harry F. , Purves Rory , Biggs Sarah E. , Dewi Ffion , Dixon Lauren K. , Kirkham Emily N. , Jones Conor S. , Ramirez Jozel , Scroggie Darren L. , Pathak Samir , Blencowe Natalie S. ,   on behalf of the RoboSurg collaborative group, Main Barry , Blazeby Jane , Dawson Sarah , Wilkinson Aimee , Jones Annabel , Abbas Aya , Turner Benedict , Thomas Charlie , Henshall David , Boden Eleanor , Gull Emma , Sewart Emma , Wood Fergus , Loro Francesca , Hollowood Freya , Fowler George , Higginbotham George , Sellers Grace , Hughes Ioan , Handa Ishita , Leandro Lorna , Paynter Louisa , Huppler Lucy , Gourbault Lysander , Wijeyaratne Manuk , Dewhurst Maximilian , Shah Max , Kiandee Miraen , Dada Mo , Brewster Oliver , Lok Pat , Winayak Rahul , Ranat Reesha , Lawrence Ruby , Millar Ryan , Lawday Sam , Dalmia Sanjush , Rozwadowski Sophie , Robinson Tanya , Perra Teresa , Leow Tjun Wei , Brankin-Frisby Tom , Baker William , Hurst William , Embury-Young Ysabelle , Vallance Abigail , Young Amber , Zucker Ben , Hoffmann Christin , Richards Hollie , Olivier James , Rees Jonathan , Lee Keng Siang , Macefield Rhiannon , Cousins Sian 
Published: June 2024

AbstractRobotic Roux-en-Y gastric bypass (RRYGB) is an innovative alternative to traditional laparoscopic approaches. Literature has been published investigating its safety/efficacy; however, the quality of reporting is uncertain. This systematic review used the Idea, Development, Exploration, Assessment and Long-term follow-up (IDEAL) framework to assess the reporting quality of available literature. A narrative summary was formulated, assessing how comprehensively governance/ethics, patient selection, demographics, surgeon expertise/training, technique description and outcomes were reported. Forty-seven studies published between 2005 and 2024 were included. There was incomplete/inconsistent reporting of governance/ethics, patient selection, surgeon expertise/training and technique description, with heterogenous outcome reporting. RRYGB reporting was poor and did not align with IDEAL guidance. Robust prospective studies reporting findings using IDEAL/other guidance are required to facilitate safe widespread adoption of RRYGB and other surgical innovations.
How does robotic surgery affect gynecology patient care?
Authors: Arslan Sibel , Vehviläinen-Julkunen Katri , Parviainen Anndra 
Published: June 2024

AbstractThe aim of this review is to map the current research on the needs of gynecological patients treated with robotic surgery. Systematic Rapid Review. Pubmed, Web of Science, Google Scholar. Search was limited from the years 2017–2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement was followed. Rapid review is a synthesis of information produced in a shorter time than systematic reviews, which allows clinical nurses to access evidence in the decision-making process. The methodological steps implemented were the following: (1) needs assessment and topic selection, (2) study development, (3) literature search, (4) screening and study selection, (5) data extraction, (6) risk-of-bias assessment and (7) knowledge synthesis. The search yielded 815 articles, 746 were excluded after screening the title and abstract, and 69 full-text syntheses were performed. Only 10 articles were included in the final analysis. This research evaluated the effects of robotic surgery on the patient under seven themes; operative time, length of stay, complications, estimated blood loss, pain, survivor, and conversion. Five studies were on endometrial cancer, one study on gynecologic cancer, two studies on hysterectomy, one study on patient safety, and one study on cervical cancer. The results show that robotic surgery can change the needs of patients by solving ongoing problems in gynecological patients. This requires a better understanding of robotic surgery procedures while facilitating nursing care over patient care.
The constrained equal losses family of rules for claims problems
Authors: Giménez-Gómez José-Manuel , Salekpay Foroogh , Vilella Cori 
Published: June 2024

AbstractIn this study, we introduce a family of rules for claims problems called the CEL-family. The family is defined by means of a parameter $$\theta \in [0,1]$$

θ
∈
[
0
,
1
]

as a notion of solidarity and contribution. It contains the constrained equal losses and the constrained equal awards rules. We perform an axiomatic analysis considering the main properties in the literature, for the sake of comparison. We apply the family to the distribution of the European Regional Development Funds to study how the rules in the family treat regions with relatively smaller claims compared to regions with relatively larger claims.
Working as a Sensitivity Reader: Just Another Step on the Way to Publication
Authors: Withers D-M , Díaz-Andreu Elio Smith , Kamsika Georgina 
Published: June 2024

AbstractThe use of sensitivity readers has become increasingly prevalent in the publishing industry over the past decade (Brouillette 2023; Jilani 2023; Kingsbury 2024; Sharma 2023; Thomalla 2023; West-Knights 2023). To some, sensitivity readers are controversial figures who seek to censor writers’ voices, while for others they are much-needed defences against the perpetuation of discrimination in literature (Lawrence 2020). Given the relatively novel application of sensitivity reading in publishing processes, there remains a scarcity of research into, and understanding of, the practical implications of this editorial process. The following transcript of a discussion between University of Exeter Master of Arts (Publishing) student, D-M Withers, and sensitivity reader and published author Georgina Kamsika reflects on the specificities of this industry role, providing insight into our understanding of sensitivity reading as a unique editorial layer within the publishing chain.
Atmosphere and ocean interactions
Authors: Zardi Dino 
Published: June 2024

Abstract
The nature and extent of the main interactions between the Earth’s atmosphere and the ocean are briefly reviewed, introducing the main properties of these two planetary systems, the hierarchy of timescales and spatial scales characterizing their processes, and the main mechanisms involved. To clarify these mechanisms, a few examples of exchanges of momentum, energy, and mass exchanges are briefly outlined. The paper aims at stimulating students to discover the fascinating interplay among two of the most relevant components of our planet, such as the atmosphere and the ocean, and suggests resources for further exploration.

Graphical abstract
Interplay between YAP/TAZ and metabolic dysfunction-associated steatotic liver disease progression
Authors: Lee Na Young , Choi Myeung Gi , Lee Eui Jin , Koo Ja Hyun 
Published: June 2024

AbstractMetabolic dysfunction-associated steatotic liver disease (MASLD) is becoming an increasingly pressing global health challenge, with increasing mortality rates showing an upward trend. Two million deaths occur annually from cirrhosis and liver cancer together each year. Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ), key effectors of the Hippo signaling pathway, critically regulate tissue homeostasis and disease progression in the liver. While initial studies have shown that YAP expression is normally restricted to cholangiocytes in healthy livers, the activation of YAP/TAZ is observed in other hepatic cells during chronic liver disease. The disease-driven dysregulation of YAP/TAZ appears to be a critical element in the MASLD progression, contributing to hepatocyte dysfunction, inflammation, and fibrosis. In this study, we focused on the complex roles of YAP/TAZ in MASLD and explored how the YAP/TAZ dysregulation of YAP/TAZ drives steatosis, inflammation, fibrosis, and cirrhosis. Finally, the cell-type-specific functions of YAP/TAZ in different types of hepatic cells, such as hepatocytes, hepatic stellate cells, hepatic macrophages, and biliary epithelial cells are discussed, highlighting the multifaceted impact of YAP/TAZ on liver physiology and pathology.
Een ongunstig binnenmilieu als mediërende variabele tussen energiearmoede en gezondheid: een verkenning
Authors: Bosman Charley , Kroesbergen Ike , Stoopendaal Marjolein 
Published: June 2024

Samenvatting
Doel
Het doel van dit onderzoek is inzicht krijgen in welke mate een ongunstig binnenmilieu een mediërende variabele is in de samenhang tussen energiearmoede en gezondheid.

Methode
Data uit de Gezondheidsenquête 2022 zijn verrijkt met enkele registratiedata uit de Monitor Energiearmoede 2020, resulterend in een onderzoekspopulatie van 16.210 volwassenen. Met behulp van Structural Equation Modeling (SEM) is in R het mediatie-effect van een ongunstig binnenmilieu (vocht, schimmel en/of gebrekkige ventilatie in huis) op de relatie tussen energiearmoede en verschillende gezondheidsuitkomsten onderzocht. Analyses zijn gecorrigeerd voor verschillende covariaten.

Resultaten
Energiearmoede hangt negatief samen met sociaal kapitaal en afwezigheid van psychische klachten, en positief met het risico op een angststoornis of depressie, een negatieve beoordeling van de eigen gezondheid, fysieke beperkingen in het dagelijks leven, eenzaamheid en stress. Deze verbanden worden deels gemedieerd door een ongunstig binnenmilieu (mediatieproportie: 5,5–10,8%). Bij de subgroep huurders van woningcorporaties ligt de mediatieproportie tussen de 8,3% en 20,1%.

Conclusie
Een ongunstig binnenmilieu is een van de factoren die een mediërende rol speelt in de relatie tussen energiearmoede en gezondheid. Het tegengaan van gezondheidseffecten van energiearmoede vergt een brede en structurele aanpak, waar het binnenmilieu onderdeel van is. Zowel in onderzoek als in beleid is meer verbinding tussen energiearmoede, binnenmilieu en gezondheid nodig.