bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of mirror system and scanner bed of a flatbed scanner on lateral response artefact in radiochromic film dosimetry
Authors: Shameem Tarafder , Bennie Nick , Butson Martin , Thwaites David 
Published: September 2024

AbstractRadiochromic film, evaluated with flatbed scanners, is used for practical radiotherapy QA dosimetry. Film and scanner component effects contribute to the Lateral Response Artefact (LRA), which is further enhanced by light polarisation from both. This study investigates the scanner bed’s contribution to LRA and also polarisation from the mirrors for widely used EPSON scanners, as part of broader investigations of this dosimetry method aiming to improve processes and uncertainties. Alternative scanner bed materials were compared on a modified EPSON V700 scanner. Polarisation effects were investigated for complete scanners (V700, V800, on- and off-axis, and V850 on-axis), for a removed V700 mirror system, and independently using retail-quality single mirror combinations simulating practical scanner arrangements, but with varying numbers (0–5) and angles. Some tests had no film present, whilst others included films (EBT3) irradiated to 6 MV doses of 0–11.3 Gy. For polarisation analysis, images were captured by a Canon 7D camera with 50 mm focal length lens. Different scanner bed materials showed only small effects, within a few percent, indicating that the normal glass bed is a good choice. Polarisation varied with scanner type (7–11%), increasing at 10 cm lateral off-axis distance by around a further 6%, and also with film dose. The V700 mirror system showed around 2% difference to the complete scanner. Polarization increased with number of mirrors in the single mirror combinations, to 14% for 4 and 5 mirrors, but specific values depend on angles and mirror quality. Novel film measurement methods could reduce LRA effect corrections and associated uncertainties.
The Conceptual Ecology of “Dysbiosis”
Authors: Kelley David 
Published: September 2024

Abstract“Dysbiosis” is a common but vague term featured in the microbiome literature, often invoked to indicate some kind of imbalance among microbiota. There is no agreement on how to define or even characterize dysbiotic microbiomes. Building on the work of Morar and Bohannan, who explore five interpretations of “microbiome,” I offer a short supplemental analysis of what plausibly counts as “dysbiosis” according to each of the five distinct conceptions. My aim is to provide a more nuanced basis for interpreting claims, primarily and most generally; and more specifically, provide a basis for those advancing pluralist or eliminativist arguments.
Appraising machine learning algorithms in predicting noise level and emissions from gasoline-powered household backup generators
Authors: Giwa S. O. , Nwaokocha C. N. , Osifeko O. M. , Orogbade B. O. , Taziwa R. T. , Dyantyi N. , Sharifpur M. 
Published: September 2024

Abstract
Machine learning is presently receiving great attention. However, machine learning applications to gasoline engine research are limited. This paper investigated the implementation of various machine learning models in predicting the emissions (CO2, CO, and PM2.5) and noise levels of gasoline-powered household generators for the first time. Data of operating and installed capacity, efficiency (input) and emissions, and noise level (output) obtained from 166 generators were used in extreme gradient boosting, artificial neural network (ANN), decision tree (DT), random forest (RF), and polynomial regression (PNR) algorithms to develop predictive models. Results revealed high prediction performance (R2 = 0.9377–1.0000) of these algorithms marked with very low errors. The implementation of PNR followed by the RF exhibited the best models for predicting CO2, CO, PM2.5, and the noise level of generators. R2 of 1.000 and 0.9979–0.9994, mean squared error of < 10−6 and 2 × 10−5–8.6 × 10−5, mean absolute percentage error of 9.15 × 10−16–1.3 × 10−15 and 7.1 × 10−3–8.1 × 10−2, and root mean squared error of 3.3 × 10−16–5.4 × 10−16 and 4.4 × 10−3–9.3 × 10−2 were recorded for all the output parameters using PNR and RF respectively. DT models had the least prediction capacity for CO, CO2, and noise levels (R2 = 0.9493–0.9592) while ANN produced the least performance for PM2.5 (R2 = 0.9377). This study further strengthens machine learning applications in engine research for the prediction of various output parameters.
Updated Systematic Review of Suicide in Autism: 2018–2024
Authors: Brown Claire M. , Newell Victoria , Sahin Ensu , Hedley Darren 
Published: September 2024

Abstract
Purpose of review
The purpose of this review is to provide a comprehensive update of literature published between January 2018 and April 2024, examining suicidal thoughts and behavior (STB) prevalence, risk factors, theoretical models, and interventions in autism.

Recent findings
We identified four recent meta-analyses and two systematic reviews. Pooled prevalence estimates in autism ranged from 34.2% for suicide ideation to 24.3% for suicide attempts. Autistic traits, interpersonal factors, and depressive symptoms were identified as STB risk factors, with elevated risk observed across the lifespan.

Summary
We included 80 studies examining STB in diagnosed autistic people or autistic traits in non-clinical samples. Autistic people were found to have an up to eightfold increased risk of death by suicide compared to non-autistic people, although reported rates varied considerably between studies; co-occurring mental health conditions, social, psychological, and cognitive factors exacerbated risk. Validated STB assessment tools and interventions for autistic people were notably scarce.
Emotional food craving across the eating disorder spectrum: an ecological momentary assessment study
Authors: Arend Ann-Kathrin , Blechert Jens , Yanagida Takuya , Voderholzer Ulrich , Reichenberger Julia 
Published: September 2024

Abstract
Purpose
Emotional eating during negative emotions might underlie disordered eating behavior (i.e., binge eating and food restriction). Positive emotions, by contrast, seem to promote healthier eating behavior. Naturalistic research on the links between emotions and eating across individuals with binge-eating disorder (BED), bulimia nervosa (BN), binge-purge anorexia nervosa (AN-BP), and restrictive anorexia nervosa (AN-R) is, however, lacking.

Methods
Individuals without eating disorders (comparison group, CG, n = 85), and patients with BED (n = 41), BN (n = 50), AN-BP (n = 26), and AN-R (n = 29) participated in an ecological momentary assessment study. Six daily notifications over eight days prompted ratings of momentary food craving and emotional states differing in valence and arousal.

Results
Results supported specific emotion-food-craving patterns in each group. Compared to the CG, arousing negative emotions and higher cravings co-occurred in patients with BN. In patients with AN-BP (at trend level also in patients with AN-R) less arousing negative emotions and lower cravings co-occurred. In patients with AN, positive emotions and higher cravings co-occurred whereas in patients with BED less arousing positive emotions and lower cravings co-occurred.

Conclusion
The found emotion-craving associations may underlie group-specific (dys-)functional eating behaviors, i.e., binge eating and food restriction during negative emotions in patients with BN and AN, and normalized appetitive responses during positive emotions in patients with BED and AN. Therapeutic efforts could target arousing negative emotions in patients with BN, and less arousing negative emotions in patients with AN. Positive emotions could be used in a salutogenetic approach in patients with BED and AN.
“Open strategic autonomy” as an industrial policy compass for the EU competitiveness and growth: The good, the bad, or the ugly?
Authors: Mariotti Sergio 
Published: September 2024

Abstract
This paper explores the potential of Open Strategic Autonomy to effectively foster industrial policies that boost EU competitiveness and growth. It investigates changes in the global economy and international order, with a focus on two key concepts: the "win-lose" reconfiguration of globalization and the resurgence of nations as "confrontational states," marked by interventionism, national sovereignty, techno-nationalism, and zero-sum thinking. Within this context, a "new industrial policy" is emerging, driven by a focus on economic autonomy and security. The paper analyzes the industrial strategies and legislative measures adopted by major powers, which are largely designed to weaponize policymaking and international economic relations, including the use of tit-for-tat strategies. It situates the EU within this framework and questions the compatibility and coherence between the emerging European measures inspired by new geo-dirigisme and the principles of an open economy and multilateral cooperation. The conclusion provides criteria for assessing whether Open Strategic Autonomy can serve as a positive guide for industrial policies, rather than a detrimental one.
Weighted Multiple Point Cloud Fusion
Authors: Poku-Agyemang Kwasi Nyarko , Reiterer Alexander 
Published: September 2024

Abstract
Multiple viewpoint 3D reconstruction has been used in recent years to create accurate complete scenes and objects used for various applications. This is to overcome limitations of single viewpoint 3D digital imaging such as occlusion within the scene during the reconstruction process. In this paper, we propose a weighted point cloud fusion process using both local and global spatial information of the point clouds to fuse them together. The process aims to minimize duplication and remove noise while maintaining a consistent level of details using spatial information from point clouds to compute a weight to fuse them. The algorithm improves the overall accuracy of the fused point cloud while maintaining a similar degree of coverage comparable with state-of-the-art point cloud fusion algorithms.
Emerging strategies in plant virus disease control: insights from the 56th meeting of the DPG working group “Viruskrankheiten der Pflanzen”
Authors: Krenz Björn , Niehl Annette , Krczal Gabi 
Published: September 2024

AbstractTransforming agriculture into a sustainable system includes innovative, safe, and sustainable management of virus diseases. Advances in cutting-edge biotechnological tools, such as CRISPR/Cas9 genome editing (clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9), environmental RNA interference (RNAi), and the application of natural antiviral compounds, present promising new strategies for effective virus control. Highly sensitive and validated diagnostic tools allow early detection and targeted management strategies. The 56th meeting of the Deutsche Phytomedizinische Gesellschaft (DPG) working group on "Viruskrankheiten der Pflanzen" tackled the latest developments and challenges in the field of plant virology in Germany, covering topics on genomic technologies, diagnostics and quarantine regulations, virus–host interaction, virus diversity, plant immunity, and more. A special emphasis lay on the applied side of plant virology, as here, pressing agricultural challenges have to be met. In this perspectives paper, we give a summary on the conference’s findings and highlight possibilities to derive novel strategies for disease control.
Emerging biomarkers for precision diagnosis and personalized treatment of cystic fibrosis
Authors: Addissouky Tamer A. , Sayed Ibrahim El Tantawy El , Ali Majeed M. A. , Wang Yuliang 
Published: September 2024

Abstract
Background
Cystic fibrosis (CF) is a fatal genetic disorder caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, disrupting ion transport. This results in organ damage and reduced life expectancy.

Main body of the abstract
Recent therapeutic advances targeting CFTR dysfunction have transformed treatment. CFTR modulator drugs directly target molecular defects underlying CF. Ivacaftor was the first approved potentiator benefiting gating mutations. Correctors like lumacaftor/ivacaftor and newer triple therapy combinations more effectively address the prevalent F508del mutation by improving CFTR processing. Gene and mRNA therapies also show promise, with preclinical studies editing CFTR in stem cell-derived epithelia and mRNA supplementation stabilizing acute exacerbations.

Short conclusion
Targeting CFTR dysfunction through small molecules, gene editing, and cell-based therapies represents a paradigm shift from symptom management to addressing genetic causes. Expanding access to innovative treatments across all patient subgroups may modify disease progression. While awaiting genetic cures, emerging strategies provide hope that CF outcomes can transition from early lethality to a chronic condition with an improved life expectancy and quality of life.
Intermediate type cystinosis with a novel CTNS variant in a child: a case report
Authors: Elamin Mugahid , Alzhrany Ghada , Mohamed Reem , Daw Wafa , Alabbasi Bashiar , Ahmed Muawia , Bakhiet Yassir , Aloufi Yomna , Aloufi Majed 
Published: September 2024

AbstractCystinosis is a rare lysosomal storage disorder caused by a variant in the CTNS gene that leads to the accumulation of cystine in the body’s tissues. It has been classified into three subtypes based on its clinical presentation: severe infantile nephropathic cystinosis, intermediate mild form, and ocular non-nephropathic adult form. We report a teenage girl who presented with end stage kidney disease as her first presentation and was found to have corneal cystine crystals upon ophthalmic evaluation. Genetic testing confirmed that she has a CTNS variant, a CTNS variant c.520A > C p.(Ser174Arg) never described in the literature previously. Full family genetic screening supported the diagnosis. She was started on oral and ocular cysteamine and maintained on peritoneal dialysis for a few months and eventually underwent a successful deceased donor kidney transplantation. These findings expand the spectrum of CTNS gene variants and highlight the potential of atypical and severe presentations of this variant during adolescence.
“Can you Hear me?” Change of technology commitment during the first two semesters under COVID-19
Authors: Puderbach Leonard , Petrak Alexandra , Wolff Fabian 
Published: September 2024

AbstractThe COVID-19 pandemic challenged universities to maintain teaching, leading to online classes becoming the standard teaching mode and accelerating digitalization. Learning from the influence of these developments on students’ technology commitment may hold valuable information for various stakeholders. The present study investigated the development of three facets of technology commitment in higher education during the first two semesters under the COVID-19 pandemic: technology acceptance, technology competence belief, and technology control belief. The sample consisted of N = 132 graduate students at one German university who filled out questionnaires at two measurement points in two waves. The change in all three facets of technology commitment over time was examined with latent change models. There was a significant increase in technology competence belief. This change was stronger for students in the second COVID-19 semester than those in the first COVID-19 semester. Participants’ age, sex, and the number of webinars attended during the semester of data collection had no significant effect on the change in the three facets of technology commitment. Overall, the present study provides new insights into the development of technology commitment during the COVID-19 pandemic, proposes an explanatory approach for the change in technology commitment, and emphasizes the relevance of direct experience with technology in the development of technology competence belief at different skill levels. The results indicate that students can increase their level of technology competence belief, by engaging directly with new technology.
The Influence of the Benefit–Cost Analysis on Policy Evaluation in the European Union
Authors: Gogic Kristina 
Published: September 2024

AbstractThe purpose of this paper is to answer the research question: How may methods of Benefit–Cost Analysis (BCA) influence policy decision-makers? The new research is a continuation of the previous research, and it is updated with new data and new examples. As it is well-known by BCA experts and practitioners, BCA is a relatively simple and widely used technique for deciding whether to make a change. BCA is very important in political and governmental decisions. Governments are policy creators, and Governments are usually formed of politicians. How much do experts inside Governments influence the policymakers? Do politicians allow enough experts to influence policymaking? The research regarding the work of the Croatian Government’s Office for Legislation and its Unit for the system and coordination of the Assessment of the Effects of Regulations (Unit) showed that the analysis of that Unit was not very good in some very important laws. These laws were changed very often because in practice was seen that the application of some laws was not good, and had caused some problems for the citizens, caused legal uncertainty for them, and in some cases had caused a lot of damage.
Worlds and Eyeglasses: Cavendish’s Blazing World in The League of Extraordinary Gentlemen, The Black Dossier
Authors: Armstrong Chloe 
Published: September 2024

Abstract
I examine Alan Moore and Kevin O’Neill’s adaptation of Margaret Cavendish’s Blazing World in the comic series The League of Extraordinary Gentlemen. I interpret philosophical aspects of Cavendish’s fictional landscape, including her vitalist materialism and naturalized talking animals, as they appear in series The League of Extraordinary Gentlemen, rendered through 3-D images and corresponding 3-D glasses worn by readers. Through this world adaptation, Moore and O’Neill onboard themes of naturalness, experimentation, technology-aided perceptual processes, and travel to intersecting worlds to enhance The League of Extraordinary Gentlemen’s commentary on the formative influence of fiction on authors and audiences.
Ambivalences of Trans Recognition
Authors: Wong Jules 
Published: September 2024

Abstract
The need for gender recognition is widespread, even when hypervisibility and other effects of trans antagonism make that need dangerous for trans people. This reason partially accounts for why, in trans critique, recognition is a dirty word. As a political aim, and to some extent as a moral norm, trans critiques encourage dropping recognition. On the other hand, social philosophers often view recognition as a solution to misrecognition and take recognition to be a remedy for injustice. In my view, recognition should neither be dropped nor held as a foundational norm for trans emancipation. First, I present three ways trans recognition is ambivalent. Second, evaluating Axel Honneth's observations about the entwinement of recognition and domination, I argue that recognition is an ambivalent norm for trans critique and struggle. Third, I propose studying trans recognitive practices (rather than recognition in abstract) and I illuminate what might set trans/t4t recognition acts apart from their cis-grounded analogues, centering the roles of the body and space/place as resources of trans/t4t recognitive practices, and how such practices focus on the subject's change and becoming over their identification.
THE ROLE OF BATTERIES AND FUEL CELLS IN DECARBONISING THE UK ECONOMY
Authors: Pollock David Stephen 
Published: September 2024

AbstractThe prospects are considered of deploying batteries and fuel cells in order to reduce the carbon emissions from various modes of transport. It is proposed that the government has not done enough to advance these technologies and that Britain is lagging behind other countries. The adequacy of Britain’s future supplies of energy is called into question.
Blubber for Bibles: translating colonialism in Inuit missions, c. 1750–1850
Authors: Carey Hilary Mary 
Published: September 2024

Abstract
Between 1750 and 1850, at least twenty versions of the Greenlandic Bible were published through the efforts of Greenlandic catechists, Danish Lutherans, German Moravians, the Danish Bible Society and the British and Foreign Bible Society (BFBS). This article assesses the role of Greenlandic and other Inuit translators as they were engaged in the colonial project of devising a complete version of the scriptures in their own language. Using the relatively untapped correspondence of the BFBS, it considers how and why the status of Inuit translators changed over the course of the missionary translation project. In one response to the reception of new Bibles, Inuit people offered gifts of blubber to the BFBS to support translations for other mission communities. To understand the meaning of this exchange, this essay brings together the methodologies and perspectives of missionary linguistics. It uncovers the unique role played by Greenlandic and other Inuit translators and catechists, foregrounding their contribution to a successful national project, the creation of a national language for independent Greenland and the emergence of literate Christian communities. By reading along and against the grain of colonial archives, it seeks to recover something of the names and motivation of Inuit scripture translators.
Stability analysis and identification of high-yielding Amaranth accessions for varietal development under various agroecologies of Malawi
Authors: Nyasulu Mvuyeni , Zimba Sibongile , Maliro Moses , Kamanga Rowland Maganizo , Medison Rudoviko Galileya , Sefasi Abel 
Published: September 2024

AbstractAmaranth, with its high genetic variability, holds promise for global food security, income generation and climate resilience. Developing stable, high-yielding genotypes is essential for sustainable production. In this study, stability analysis was conducted on five Amaranth accessions over two seasons at three Malawian sites. Significant trait variations, including grain yield, plant height and leaf characteristics, underscored the dynamic nature of Amaranth cultivation. Notably, LL-BH-04 consistently exhibited superior grain yield, while others showed variable performance, highlighting the importance of stability analysis. Employing the Eberhart and Russell model, stable accessions in leaf and grain yield were identified. Additionally, AMMI (Additive Main effects and Multiplicative Interaction) biplot analysis revealed genetic diversity and stability patterns, aiding resilient cultivar selection. Consequently, LL-BH-04 and PE-UP-BH-01, identified as stable genotypes, were recommended for release, thereby enhancing agricultural sustainability and food security. These findings emphasize the need for site-specific breeding evaluations for sustainable productivity and underscore the importance of selecting stable cultivars to address agricultural challenges. LL-BH-04 and PE-LO-BH-01 were proposed for release to boost Amaranth production in Malawi, serving as the foundation for tailored breeding efforts aimed at improving productivity and resilience. This study contributes valuable insights into the stability and performance of Amaranth cultivars, offering guidance for sustainable crop production and variety development strategies.