bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Molar Entropy of Gaseous Molecules for a New Pὃschl‐Teller Potential Model
Authors: Abdulameer Maryam Hussein , Ali Ali B. M. , Nemah Ahmed K. , Kanjariya Prakash , Rajiv Asha , Agarwal Mohit , Kaur Parjinder , Almehizia Abdulrahman A. 
Published: November 2024

ABSTRACTThe Pὃschl–Teller potential is a molecular potential energy function that has only been reported for bound state. This Pὃschl–Teller potential is a good representation of many molecules and has not been examined for any thermodynamic property irrespective of its fitness for molecular study. In this study, the molar entropy of four molecules (Pbr, BBr, CsCl, and CsO molecules) is calculated via the molar partition function. The predicted results are compared with the experimental data recorded in the National Institute of Standards and Technology (NIST) database. It is noted that the predicted values for the studied molecules perfectly agree with the experimental results with the following average absolute percentage deviation, PBr is 0.0158%, BBr is 0.0053%, CsCl is 0.0020%, and CsO is 0.0052%. The present model reproduces better results for CsCl and CsO molecules compared to the shifted Tietz–Wei potential and improved Tietz‐oscillator previously reported whose average absolute percentage deviation are 0.361% and 0.284% for CsCl and 0.272% and 0.228% for CsO, respectively.
Exploring the role of school‐based clinics in pre‐service teachers preparation: A mixed‐methods study of a School‐University Partnership in Australia
Authors: Morrissey Chris , Lee Moosung , Kim Eunsu , Halcrow Kate , Hills Emily 
Published: November 2024

AbstractEffective school–university partnerships (SUPs) are a key policy focus in initial teacher education (ITE) in Australia and internationally. This article presents an overview of the school‐based clinical model employed in one Australian SUP and discusses the role of this model in the learning and preparation of pre‐service teachers (PSTs) within it. A pilot study with a mixed‐methods approach was conducted to determine the key differences in PSTs’ experiences between the campus‐based learning approach with traditional practicum placement and the school‐based clinic modes of learning. Informed by the qualitative findings of the pilot study, a quantitative survey was then developed to explore PSTs’ experiences of the school‐based clinic modes of learning. Using the validated survey, a follow‐up main study investigated PSTs’ experiences through a series of quantitative analyses. PSTs reported that their participation in school‐based clinics significantly contributes to their preparation for teaching, including their self‐efficacy and classroom readiness, compared to their experience of campus‐based learning models with the traditional practicum placement. Given the imperative for ITE to ensure PSTs are provided with high‐quality, authentic learning experiences that prepare them for the complexities of the teaching profession, this paper provides one way in which ITE programmes can enhance the learning experiences of their students. As the first of its kind and scale, the SUP and the school‐based clinics model within it provide a model that other providers could follow to further enhance their own students’ learning and preparation for the profession.
Multilinear regression model for predicting the ultimate load of slender circular CFDST columns subjected to concentric and eccentric loading
Authors: Amika Akuta Usongo , Haas Trevor N. , Simwanda L. 
Published: November 2024

AbstractThis paper presents a novel approach to predict the ultimate load of slender circular concrete‐filled double skin tubular (CFDST) columns subjected to concentric and eccentric loading. The proposed approach was developed using a multilinear regression model through analyzing a database containing 165 CFDST column configurations. The data set was obtained by varying the magnitude of the parameters to determine its effect on the ultimate load using FE analysis. The variables considered in the model formulation are concrete strength, steel tube strengths, tube diameters, tube thicknesses, load eccentricity, column curvature, and column length. The accuracy and efficiency of the proposed models were validated with previous experimental investigations. The results demonstrate that the proposed models provide a practical, simple, and efficient approach to predict the ultimate load of slender circular CFDST columns subjected to concentric and eccentric loading. When compared to existing experimental work on slender circular CFDST columns subjected to concentric and eccentric loading, the proposed model over predicts the ultimate load by a maximum of 6%.
Pancreatic Neuroendocrine Neoplasms: Classification and Novel Role of Endoscopic Ultrasound in Diagnosis and Treatment Personalization
Authors: Tacelli Matteo , Partelli Stefano , Falconi Massimo , Arcidiacono Paolo Giorgio , Capurso Gabriele 
Published: November 2024

ABSTRACTThe incidence and prevalence of pancreatic neuroendocrine neoplasms are steadily increasing. These tumors are highly heterogeneous, with treatment options ranging from observation to surgery, and various medical therapies. The choice of treatment is influenced by factors such as tumor stage, grade (proliferative activity), and the presence of hormone‐related syndromes. Endoscopic ultrasound (EUS) is becoming increasingly valuable for assessing pancreatic neuroendocrine neoplasms, offering detailed morphological, vascular, and functional information through techniques such as contrast enhancement and elastography. It also allows biopsies that are useful for both histopathological and molecular analyses. These tumors are highly heterogeneous, with treatment options ranging from observation to various medical therapies and surgery. Recent data suggest that small, non‐functioning PanNENs with low proliferation rates may be safely monitored, whereas more aggressive or functioning tumors typically require surgery. EUS‐guided ablation is a promising alternative for patients with functional pancreatic neuroendocrine neoplasms who are unsuitable for surgery, although randomized trials are needed. In non‐resectable pancreatic neuroendocrine neoplasms, treatment options include somatostatin analogs, targeted therapies (e.g., everolimus, sunitinib), chemotherapy, and radioligand therapy. This review discusses key factors in planning personalized treatment strategies for pancreatic neuroendocrine neoplasms.
M-Government Services: A Multi-country Stakeholder Analysis
Authors: Sellung Rachelle , Lampoltshammer Thomas J. 
Published: November 2024

AbstractDespite the rapid advancement of digital technologies in governance, there remains a significant gap in understanding the complex interplay between various stakeholders and the actual needs of end users. This disconnect poses a challenge in designing and implementing effective, user-centric digital government services. This chapter provides an in-depth exploration of the evolving landscape of mGovernment and eGovernment, primarily through the lens of stakeholder dynamics and end-user perspectives. It situates its inquiry within the broader context of the mGov4EU project, emphasising the growing importance of digital governance in modern public administration. The core focus of this chapter is to dissect and analyse the roles, challenges, and expectations of diverse stakeholders in the mGovernment and eGovernment domains. Simultaneously, it prioritises end-user experience, stressing its vital role in the success of digital governance initiatives. Case studies from Austria, Estonia, and Germany provide practical insights into these dynamics. The key findings comprise the necessity for nuanced stakeholder analysis in digital governance projects and the imperative of a user-centric approach in service design. It reveals how stakeholder engagement and user satisfaction are pivotal for the adoption and effectiveness of mGovernment and eGovernment services. Concluding with a forward-looking perspective, the chapter advocates for continuous adaptation and innovation in digital governance. It calls for more inclusive and participatory frameworks that accommodate evolving stakeholder needs and enhance end-user experiences, thereby setting a roadmap for future research and practice in digital government.
Ethical and Data Protection Considerations in Mobile Government: An EU Perspective
Authors: Graux Hans 
Published: November 2024

AbstractThe European legal and policy framework in the last few years has increasingly focused on ways to empower citizens in taking control over their data. With respect to mobile eGovernment, this can be seen both in data protection law, in legislation concerning once-only information exchanges, and in the current proposals surrounding mobile identity wallets. This chapter will examine how these rules interact, what the legal and ethical implications are, and what the limitations and points of conflict might be. We will also examine how a project like mGov4EU is impacted by these rules and where the project can and has innovated or expanded on the general legal and ethical principles within the confines of the law.
Evaluating Digital Government Projects: Emphasizing Process and Relevance Through Transdisciplinary Research
Authors: Temple Lucy , Eibl Gregor 
Published: November 2024

AbstractGovernment organizations worldwide focus on digital solutions to improve public services and enhance citizen experience. These initiatives continue to receive significant resource allocation. There exists the need for a thorough evaluation to ensure that these projects deliver the intended benefits and address citizen needs. Currently, the absence of a single suitable evaluation method poses a challenge. The complexity of these projects demands a dynamic evaluation environment to understand societal impact and relevance. Relevance implies assessing to what extent a project aligns with the stakeholders’ goals, needs, and desires, mainly government organizations and citizens or businesses. This chapter explores the importance of relevance in evaluating such projects and highlights the reasons for adopting a transdisciplinary research approach. Unlike traditional disciplinary-focused approaches, transdisciplinary research focuses on real-world context and interdisciplinarity, goes beyond just science, and promotes interaction and integration among involved parties to produce high relevance. By focusing on project outcomes and processes, this research aims to propose relevant metrics for evaluating digital government projects and their relevance in a real-world context. To do so, a series of European research and development projects focusing on digital government will be analyzed using the proposed transdisciplinary evaluation framework to understand if outcomes and processes promote project relevance. This research will help enhance current evaluation approaches for digital government projects. The findings of this study will contribute to the widening of evaluation frameworks for digital government initiatives.
Ensuring Security in Development-Oriented Collaborative Research Projects
Authors: Zefferer Thomas , Prünster Bernd , Czerny Roland , Podgorelec Blaž 
Published: November 2024

AbstractSecurity is of paramount importance in collaborative research projects, particularly those focusing on software development. The security of data processed by project-developed software relies on early consideration of security aspects during the software’s design and development process. Unfortunately, the unique characteristics of collaborative research projects often impede the seamless integration of security aspects, posing a risk of producing solutions with inadequate security properties. To tackle this challenge, this chapter introduces a generic method designed to seamlessly incorporate security aspects in development-oriented research projects. With an emphasis on broad applicability across diverse projects, the method maintains intentional generality. Through its application to the H2020 project mGov4EU, the chapter demonstrates the method’s practical effectiveness, highlighting its adaptability and utility in a concrete project scenario. This proposed method serves as a valuable tool for researchers and practitioners aiming to seamlessly integrate security within collaborative research projects, addressing potential vulnerabilities early and ensuring the development of more secure software solutions.
Voluntary Childlessness in the Spanish Graphic Novel: Irene Olmo’s No quiero ser mamá (2020)
Authors: Carbayo-Abengózar Mercedes 
Published: November 2024

AbstractIn recent years, graphic narratives about journeys into motherhood and the maternal experience have populated the Spanish market. These narratives appear alongside other forms of creative exploration of motherhood like mom blogs, maternal chronicles, novels, and films. However, the issue of non-motherhood is still under-explored across all genres. No quiero ser mamá is a graphic novel that explores the process of deciding not to be a mother. The novel is innovative in the way that it presents the process as a subjective experience, drawing attention to the specific conjunctions of visual and verbal texts in autobiography and visually arranging the relationships of the protagonist with other people in social situations and spatial environments. Through these visual relationships, we see how Irene Olmo conveys her struggle to conform to societal expectations of women and mothers highlighting the perceived gap between the protagonist’s femininity and motherhood norms. Olmo uses her graphic novel as a feminist tool to explore the choice of a voluntary childfree life as a response to social attitudes towards non-motherhood that have emerged from culturally sanctified religious ideologies. No quiero ser mamá creates a new discursive space in which the naturalisation of motherhood can be challenged, the silence surrounding this experience can be broken, and non-motherhood can be imbued with the potential for enlightenment, community, self-realisation, and exceptionality.
Adapting (to) Non-Motherhood: Ulrike Kofler’s Film What We Wanted (2020)
Authors: Heffernan Valerie 
Published: November 2024

AbstractAustria’s entry for the Best International Feature Film at the 2020 Academy Awards was a drama by director Ulrike Kofler called Was Wir Wollten (What We Wanted, 2020). Kofler’s film tells the story of a childless couple, Alice and Niklas, who decided to take a holiday to recover from yet another failed attempt to conceive via IVF. However, their plans for a restful break are disrupted by the family next door, whose beautiful children serve as a constant reminder of what is lacking in their life. The film is based on a short story by Swiss writer Peter Stamm, and this chapter focuses on how that written text was adapted for the big screen. In particular, it considers how Alice’s ambivalent stance towards motherhood, which is already present in Stamm’s narrative, is expressed in visual and cinematic form in Kofler’s film. This chapter argues that both the film and its narrative source text offer a more nuanced view of the story of childlessness and non-motherhood than that which is often presented in the media and society.
Reclaiming Non-Motherhood: Abjection, Laughter and Failure in Twenty-First-Century Swedish Narratives of Childlessness
Authors: Björklund Jenny 
Published: November 2024

AbstractIn Sweden in the twenty-first century, childlessness has emerged as a topic in literature across genres. These narratives take stories about non-motherhood, which are often invisible and abjected from mainstream society, and tell them in new and defiant ways. Moreover, this body of literature depicts a variety of ways of being a non-mother: through involuntary childlessness and infertility, through childlessness by choice and through childlessness by circumstance. This chapter explores a range of literary representations of women without children in twenty-first-century Swedish literature. This chapter discusses fiction, autofiction and personal essays that deal with childlessness and analyses how these representations reclaim the position of non-motherhood in various ways: by telling stories of failed fertility treatments, by embracing the abjected position of non-motherhood and claiming it as a liveable life, and by using laughter and failure to turn things around and propose alternative ways of living. The chapter brings together theories of abjection, laughter and failure to analyse stories that are usually expulsed from the public domain in order to uphold the fertility norm. It shows how abjection, laughter and failure are employed in these narratives to reclaim the position of non-motherhood, to criticise dominant discourses and to imagine different futures.
Non-Motherhood and the Narrative of the Self in Nuria Labari’s The Best Mother of the World
Authors: Kuzminskaitė Dovilė 
Published: November 2024

AbstractIn her novel The Best Mother in the World (La mejor madre del mundo, 2019) contemporary Spanish writer and journalist Nuria Labari presents both an intimate and a panoramic view of infertility, assisted reproduction, motherhood, and abortion. Her protagonist, a young middle-class woman living in Barcelona, narrates her story of becoming a mother in the first person, starting from an initial lack of desire to become a mother to a newly discovered longing to become one and, finally, the decision to abort her third, unexpected pregnancy. TheBest Mother in the World presents a socio-political and critical reading of non-motherhood: it discusses the economic aspects of becoming a mother, the societal pressure, and the hypocrisy of medical discourse. Labari conceptualizes motherhood as a void that every woman must negotiate at some point in her life and which impacts her identity. The author challenges established discourses surrounding motherhood and non-motherhood by emphasizing the closeness of these two experiences. Therefore, motherhood and non-motherhood are portrayed as complex, dynamic, and ever-evolving phenomena rather than pre-conceptualized experiences.
Een dubbel J-katheter zonder aanvullende interventie als definitieve behandeling van acute symptomatische kleine ureterstenen: ervaringen uit het Catharina Ziekenhuis in Eindhoven
Authors: Schoofs Esther H. M. , Bos Mathilde W. , Koldewijn Evert L. , de Jongh Rik 
Published: November 2024

SamenvattingIn een acute setting wordt vaak een dubbel J‑katheter (DJ) geplaatst voor symptomatische obstructieve ureterstenen. Meestal wordt in tweede instantie gekozen voor een definitieve behandeling met ureterorenoscopie (URS) of extracorporeal shock wave lithotripsy (ESWL). Het doel van dit retrospectieve onderzoek is nagaan of een DJ een effectieve en veilige definitieve behandeloptie kan zijn bij kleine ureterstenen. Drieëntwintig patiënten van het Catharina Ziekenhuis in Eindhoven werden geïncludeerd. Spontane steenlozing vond plaats bij alle patiënten, bij 43% met de DJ in situ en 57% na DJ-verwijdering. De gemiddelde maximale steendiameter was 3,23 mm. Bij één patiënt was heropname nodig na verwijdering van de DJ wegens oncontroleerbare pijn. Verder werden er geen significante complicaties geregistreerd. Dit onderzoek toont aan dat een DJ geplaatst in een acute setting voor kleine symptomatische ureterstenen een veilige en effectieve definitieve behandeloptie kan zijn, zonder aanvullende interventie.
Prediction of crippling load of I-shaped steel columns by using soft computing techniques
Authors: Mustafa Rashid 
Published: November 2024

AbstractThis study is primarily aimed at creating three machine learning models: artificial neural network (ANN), random forest (RF), and k-nearest neighbour (KNN), so as to predict the crippling load (CL) of I-shaped steel columns. Five input parameters, namely length of column (L), width of flange (bf), flange thickness (tf), web thickness (tw) and height of column (H), are used to compute the crippling load (CL). A range of performance indicators, including the coefficient of determination (R2), variance account factor (VAF), a-10 index, root mean square error (RMSE), mean absolute error (MAE) and mean absolute deviation (MAD), are used to assess the effectiveness of the established machine learning models. The results show that all of the three ML (machine learning) models can accurately predict the crippling load, but the performance of ANN is superior: it delivers the highest value of R2 = 0.998 and the lowest value of RMSE = 0.008 in the training phase, as well as the highest value of R2 = 0.996 and the smaller value of RMSE = 0.012 in the testing phase. Additional methods, including rank analysis, reliability analysis, regression plot, Taylor diagram and error matrix plot, are employed to assess the models’ performance. The reliability index (β) of the models is calculated by using the first-order second moment (FOSM) technique, and the result is compared with the actual value. Additionally, sensitivity analysis is performed to check the impact of the input variables on the output (CL), finding that bf has the greatest impact on the crippling load, followed by tf, tw, H and L, in that order. This study demonstrates that ML techniques are useful for developing a reliable numerical tool for measuring the crippling load of I-shaped steel columns. It is found that the proposed techniques can also be used to predict other kinds of failures as well as different kinds of perforated columns.
Sustainable development goals in Africa: perspective from U.S. aid
Authors: Yan Jiale 
Published: November 2024

AbstractSince the end of the Second World War, many countries have provided external assistance for Africa's growth and development. The impact of these funds on the achievement of the 2030 Sustainable Development Goals(SDGs) by African countries is not yet clear. This paper try to fill this gap by analyzing the impact of US aid on sustainable development goals in Africa. Based on data from 47 African countries for 2015 to 2020, this paper used fixed effect and ordered probit models to examine the impact of US aid on the achievement of Africa's SDGs. The results are as follows. First, United States aid to Africa is beneficial to improving the overall SDG scores of African countries. Second, United States aid to Africa contributes to the achievement of some of the SDGs in the social and economic and environmental dimensions. This is reflected in the positive impact on the scores of SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 3 (Good Health and Well-Being), SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 15 (Life on Land). Third, United States aid to Africa has been instrumental in increasing the pace of achievement of some of the SDGs. This is reflected on the trend of changes in the scores for SDG 7 (Affordable and Clean Energy), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), SDG l0 (Reduced Inequalities), SDG 11 (Sustainable Cities and Communities) and SDG 12 (Responsible Consumption and Production). Fourth, this paper further classify the forms of funding and find that the United States should increase funding for project support aid. Therefore, increasing aid for environmental protection and project support would be conducive to advancing the SDGs of African countries.