bluuebunny/crossref_metadata_2025_split huggingface dataset:
The School Counselors Role in Supporting Teachers Working with Children who Have Experienced Trauma: Lessons Learned
Authors: Perryman Kristi L. , T.J. Timothy , Frost Hailey Thomas 
Published: January 2025

AbstractTeachers are dealing with the challenges of educating students who have been exposed to Adverse Childhood Experiences (ACEs) at an increasing rate (Brunzell et al., 2021; Mayor, 2021). Often their education has not prepared them for recognizing and mitigating the behaviors associated with ACE exposures. This article offers a review of current research regarding the role of the school counselor in supporting teachers. A case study provides insight into this support through a university partnership with a trauma-focused charter school. Suggestions are offered for teacher training and policy changes based on the author's experiences in working with a trauma-focused school. Specifically, there are many areas where school counselors can provide advocacy and support through efforts within their role in the areas of defining, managing, delivering, and assessing ASCA (2024). Partnering with a university can provide needed services for schools while simultaneously offering learning opportunities for students.
Simulating Long-Run Wealth Distribution and Transmission: The Role of Intergenerational Transfers
Authors: Bavaro Michele , Boscolo Stefano , Tedeschi Simone 
Published: January 2025

AbstractThis paper utilises the Italian Treasury DYnamic Microsimulation Model (T-DYMM) to project individual and household economic trends up to 2070, focusing on the intergenerational transmission of wealth inequality. To analyse the impact of intergenerational transfers on wealth inequality, various scenarios are compared to a baseline. The results suggest that net wealth inequality is expected to remain fairly stable until 2040, when it is expected to increase progressively, especially due to the rising size and inequality of intergenerational transfers. Demographic factors such as increased life expectancy and declining fertility are the main explanations for this phenomenon. Although certain assumptions, such as disregarding behavioural adjustments in response to tax changes, have their limitations, this study offers valuable insights into the potential impacts and timelines of inheritance tax reforms on long-term inequality transmission.
Hybrid ethics and the good soldier: the challenge of grounding military ethical thinking and education
Authors: Rebera Andrew P. 
Published: January 2025

AbstractMilitary ethics education programmes must prepare soldiers and other military personnel to carry out their duties responsibly, honourably and, above all, ethically. But the practical, moral, and ethical reasoning employed by soldiers in their professional activities—what I call ‘military ethical thinking’—is deeply challenging. The successful interpretation and application of principles and other demands of military ethical thinking presupposes more fundamental commitments that serve as its grounding. But whether soldiers address questions of grounding in their training and education tends to depend upon their rank and role. The ethics education provided to senior officers, junior officers, NCOs, enlisted soldiers, new recruits, or conscripts varies greatly. Nonetheless, to facilitate coordination and cooperation across ranks and roles, there must be an overall unity and coherence to an ethics education programme. This paper asks which ethical approaches are best suited as grounds of military ethical thinking and education. According to a widely held view, the militaries of many democratic states are committed to ‘hybrid approaches’ to military ethical thinking and education. Here I argue that while hybrid decision-making procedures are valuable tools for soldiers facing ethically challenging situations, hybrid approaches cannot play the fundamental grounding role. Instead, I make a case for grounding military ethics education in a non-reductive virtue ethics which is based around the concept of ‘the good soldier’ and which is able to meet objections commonly put to virtue-based approaches.
Erysiphe kenjiana: a newly arrived alien species causing powdery mildew on Ulmus trees in Hungary
Authors: Molnár Orsolya , Seress Diána , Borostyán Katalin , Pintye Alexandra , Németh Márk Z. 
Published: January 2025

Abstract
Elm trees (Ulmus sp.) occurring naturally or planted as ornamentals in Europe are susceptible to powdery mildew (PM). In the past, the causal agent of the powdery mildew symptoms on the adaxial side of leaves of Ulmus trees was Erysiphe ulmi in Hungary. However, we identified E. kenjiana on Ulmus pumila leaves sampled from the urban area of Budapest. Identification was based on morphological characteristics and molecular phylogenetic analysis. Numerous spherical chasmothecia, which were 58–94 µm in diameter, were found on the samples. The apices of the appendages were characteristically spirally twisted and flattened. Anamorphs were found only on one sample, characterized by conidiophores developing ellipsoid–cylindrical conidia singly. The mycelium was epiphytic with lobed to multilobed hyphal appressoria, mostly in opposite pairs. The internal transcribed spacer region (ITS) of the nrDNA was amplified, and the BLAST search showed 100% similarity with E. kenjiana sequences in GenBank. In the maximum likelihood phylogenetic analysis, the sequences of the Hungarian samples grouped in one clade with the sequences of other E. kenjiana specimens collected in Europe and Asia. This is the first report of the non-native E. kenjiana causing powdery mildew on Ulmus pumila in Hungary.
Influence of additives, temperature, and pressure on the morphology of nesquehonite– results from three synthesis routes
Authors: Back Jens , Ismailov Arnold , Sreenivasan Harisankar , Smått Jan-Henrik , Santos Hellen Silva , Nguyen Hoang , Levänen Erkki , Zevenhoven Ron , Kinnunen Paivo 
Published: January 2025

AbstractCarbon mineralization is expected to play a key role in the mitigation of climate change, as viable and efficient carbon capture and utilization (CCU) pathway. Indeed, the process has the advantage of enabling the recycling of waste-streams such as mine tailings or desalination brine, as well as the prospect of large-scale uptake of carbon dioxide emissions. However, the applications of the produced carbonates still hinder the commercial feasibility of the existing CCU routes, especially when hydrated Mg carbonates (HMCs) are obtained. HMCs are thermodynamically unstable, which poses potential risks in long-term stability. Nesquehonite (NQ, MgCO3·3H2O) is the major product of Mg carbonation in most aqueous reaction settings at moderate temperatures (15–50 °C), which has demonstrated suitable properties for producing construction materials. At somewhat higher temperatures (50–100 °C) hydromagnesite is obtained (4MgCO3·Mg(OH)2·4H2O). Yet, the final applications are not feasible as NQ often converts to hydromagnesite or other HMCs over time causing liberation of CO2 and volume instability. A key scientific gap remains on the relationship between the morphology of NQ with the operational settings of the carbonation reaction. In turn, such understanding is needed to enable tuning NQ applications in construction materials. Therefore, the current work reports the observed features of NQ via three different synthetic routes, showing the effect of two additives (Mg acetate, and sodium dodecyl sulphate), and overpressure CO2 on the physico-chemical features of NQ formed from magnesium chloride or sulphate solutions and from brucite-water system and sCO2 conditions.
Shooting Scheme for Perturbations in Optimised Solution of the Orbital Boundary Value Problem
Authors: Vananti Alessandro , Mann Harleen Kaur , Schildknecht Thomas 
Published: January 2025

AbstractMonitoring of the near-Earth space environment has become more and more important in recent times. The constantly increasing amount of space debris is a major threat for space activities and an exhaustive knowledge about the space objects population is of primary importance for civil and military applications. The surveillance of the space surrounding the Earth is achieved by means of sensors based on different technologies. Passive optical observations using ground telescopes are usually employed to track space objects in high altitude orbits. The obtained measurements are sparse, and their arcs are very short. The computation of the orbit based on these observations is challenging and several methods have been proposed. One of the known approaches relies on an optimization scheme of the classical boundary value problem. However, in the latter, the object motion is described by a Keplerian orbit without considering additional perturbations. In this novel approach, orbital perturbations are introduced in the computation procedure using a shooting model. The improved algorithm is applied to simulated observations of objects in the geostationary region under the influence of solar radiation pressure. The measured arcs are separated by intervals of one or more orbit revolutions. The performance of the proposed method is evaluated in terms of accuracy considering different levels of perturbation.
Data augmentation for numerical data from manufacturing processes: an overview of techniques and assessment of when which techniques work
Authors: Ekwaro-Osire Henry , Ponugupati Sai Lalitha , Al Noman Abdullah , Bode Dennis , Thoben Klaus-Dieter 
Published: January 2025

AbstractOver the past two decades, machine learning (ML) has transformed manufacturing, particularly in optimizing production and quality control. A significant challenge in ML applications is obtaining sufficient training data, which data augmentation aims to address. While widely applied to image, text, and sound data, data augmentation for numerical data in manufacturing has seen limited investigation. This paper empirically compares three data augmentation techniques—generative adversarial networks, variational auto-encoders mixed with long-short-term memory, and warping—on four manufacturing datasets. It also provides a literature review, highlighting that generative models are the most common technique for numerical manufacturing data. Preliminary findings suggest that generative adversarial networks are effective for non-time-series numerical data, especially with datasets featuring many correlated model features, multiple machines, and sufficient instances and labels. This research enhances the understanding of data augmentation in manufacturing ML applications, emphasizing the need for tailored strategies.
Space is the place: extraplanetary disorder in histories of science
Authors: Rand Lisa Ruth 
Published: January 2025

AbstractWhat happens when we take the big picture to its spatial zenith and examine histories of science from the vantage point of outer space? The answer is somewhat messy. The satellite era launched alongside Sputnik 1 in 1957 facilitated the extension of scientific order and control through technologies of planetary surveillance. Yet regimes of disorder and fragmentation that emerged through entanglements of anthropogenic and more-than-human natural forces at the planetary periphery prompt a reconsideration of the limits of that control. Enrolling the methodologies of envirotech and discard studies scholarship invites a generatively messy, vertical and extra-planetary view of scientific practices and politics from the ground up and back again, and a glimpse at the historiographical possibilities that emerge from an embrace of systemic disorder.
Digital Authoritarianism and the Global Technology Industry: Evidence from Iran
Authors: Conduit Dara 
Published: January 2025

Abstract
The purchase of commercial spyware by at least 43 authoritarian states has drawn attention to the links between the international private technology trade and autocrats. This article sits at the intersection of the literatures on the international relations of authoritarian regimes, digital authoritarianism and the political economy of authoritarianism, asking, what impacts, if any, do the foreign technology trade relations of authoritarian regimes have on authoritarian resilience? Building a four-mechanism model to explain the interaction between the private technology trade and digital authoritarianism, the article then tests the model on a case study of Iran. It argues that while global technology companies lack the ideological or geopolitical interests that drive the engagement between authoritarian regimes and foreign states, an intense overlap in interests still exists between profit-hungry private technology companies and technology-hungry regimes. This facilitates the establishment of mutually beneficial relationships that contribute to authoritarian resilience and survival, however inadvertently.
OP02 Osseointegrated Prosthetic Implants (Direct Skeletal Attachment) For People With Lower-Limb Amputation: A Hospital-Based Health Technology Assessment
Authors: Galfrascoli Elena , Pistritto Dario Concetto , Ghiringhelli Maristella , Sterpetti Martina , Bertoni Michele , Bozzi Silvia , Asperti Federica , Cavi Raffaella 
Published: January 2025

IntroductionPatients with amputation need a safe and comfortable connection with the prothesis. Traditional sockets may lead to skin tearing, pain, and limitation of movement. Osseointegrated protheses connected to residual bone may have a positive impact on patients’ quality of life. Our research question: Are there economic and organizational benefits from the introduction of a direct skeletal attachment (DSA) procedure, as well as clinical benefits?MethodsFirstly, a systematic literature review was carried out on PubMed and Scopus, and the Critical Appraisal Skills Programme (CASP) tool was applied to assess the evidence’s quality. A health technology assessment (HTA) evaluation was conducted (EUnetHTA, 2016), adopting the perspective of a public hospital in Italy, comparing two scenarios—traditional and innovative—related to traditional protheses and the DSA approach. Seven experts (orthopedic surgery, physical medicine, and rehabilitation and physiotherapy) were involved for the administration of a qualitative questionnaire. For the economic evaluation, a cost-effectiveness analysis and budget impact analysis were defined. Finally, a multiple-criteria decision analysis was performed.ResultsThe literature search yielded 314 citations published until December 2022: eight were eligible for analysis. Three were the system analysed: ‘OPRA’, ‘ISP’ and ‘OPL’. The efficacy of the systems is linked to a better distribution of bone stress: an increase in bone mineral density was recorded near the implants (respectively 28%, 27%, and 18% – after 60 months). The safety of DSA depends on the design and integrity of the connection between tissues and implant. The impact on the budget is an increase of 27 percent in costs for each patient treated. Concerning the social and ethical implications, DSA results in the preferable approach (1.48 vs 0.34), as it can limit social costs (0.29 vs −0.29).ConclusionsThe comparative evaluation was carried out using a scoring method: the main advantages related to innovative prostheses are based on effectiveness and safety, as well as social impact and organizational impact, especially due to the ability of the prostheses to reduce the risk of adverse events and long rehabilitation, with important clinical benefits and organizational savings for the hospital management.
OP06 Utilizing Health Technology Assessment Outputs To Develop Health Technology Management Protocols In The Irish Setting
Authors: Gorry Claire , Daly Maria , Barrett Rosealeen , Finnigan Karen , Smith Amelia , Doran Stephen , Duggan Bernard , Clarke Sarah , Barry Michael 
Published: January 2025

IntroductionIncreasingly in Ireland, there are specific criteria attached to reimbursement approval for new medicines. Health technology assessment (HTA) identifies where uncertainty is greatest in relation to clinical and cost-effectiveness evidence and budget impact estimates; our health technology management (HTM) approach uses these outputs from HTA to design protocols to manage these uncertainties in the post-reimbursement phase.Methods
A bespoke managed access protocol (MAP) is developed for each medicine reimbursed under this approach, informed by uncertainties highlighted in the HTA, directions from the decision-maker, and relevant particulars arising from commercial negotiations. Individual patient reimbursement applications are submitted via an online application system linked directly to the national pharmacy claims system. Pharmacists review the applications and approve reimbursement support where the patient meets the reimbursement criteria. The process is adaptive, allowing expansion of the criteria to include previously excluded patient cohorts, and the addition of new indications. It can also work across differing reimbursement arrangements (hospital/primary care).ResultsThe MAP for liraglutide for weight management confines reimbursement to patients with a body mass index greater than or equal to 35 kg/m², prediabetes, and high risk for cardiovascular disease. Phase I reimbursement support lasts for six months; patients not attaining greater than or equal to five percent weight loss are deemed non-responders as per the HTA, and reimbursement support is discontinued. The MAP for dupilumab confined reimbursement support to adults with refractory moderate-to-severe atopic dermatitis, where cost-effectiveness was plausible in the HTA. The MAP for calcitonin-gene-related-peptides monoclonal antibodies confines reimbursement support to patients with chronic migraine, refractory to at least three prophylactic treatments, where cost-effectiveness was plausible in the HTA.Conclusions
Across these MAPs, over 3,000 patients accessed novel treatments for chronic illnesses in September 2023. HTM provides an effective mechanism to facilitate access to high-cost medicines for targeted patient groups, while providing increased oversight and budgetary certainty. Key to acceptance is utilization of HTA outputs to implement evidence-based HTM measures targeting specific uncertainties as highlighted in the HTA report.
OP08 Health Technology Assessments Of Artificial Intelligence: Special Considerations And Development Of A Checklist
Authors: Batten Leona , Needham-Taylor Antonia , England Clare , Jarrom David 
Published: January 2025

Introduction
Artificial intelligence (AI) technologies are becoming more widespread in daily life, including in health and care settings. AI is being developed for use in many areas, including diagnostics, treatment planning, and patient monitoring. There are new challenges and additional considerations when performing a health technology assessment (HTA) for AI use in healthcare.MethodsHealth Technology Wales has developed additional guidance and a checklist of considerations for researchers to use when undertaking an HTA on AI. These documents were created as a result of involvement in discussions with healthcare services around AI; attendance at meetings and training sessions with government, healthcare, and academic institutions; and observations from undertaking our first HTAs investigating AI technologies.ResultsWe identified seven main areas to consider: (i) the AI model being used and its training datasets; (ii) clarity on where in the clinical pathway the AI sits and whether this is appropriate for the local healthcare service; (iii) clear identification of the target patient population and whether there are gaps in the evidence base for subgroups; (iv) who uses the AI and the training required; (v) possible barriers and inequities in usage, particularly if the AI is patient facing; (vi) ongoing monitoring of the AI model; and (vii) data security and usability.ConclusionsHTA assessment of AI presents new challenges for HTA bodies. Additional outcomes for assessment (including user acceptability) may be required, and an awareness of background information that allows for contextualization of the technology and clear indication of its usefulness in the local healthcare setting is key. The development of guidance related to AI technologies may enable rigorous evaluation.
OP13 Improving Case Finding For Celiac Disease In Children And Adults: Evidence Synthesis And Economic Modeling
Authors: Elwenspoek Martha , Thom Howard , Sheppard Athena , Keeney Edna , O’Donnell Rachel , Jackson Joni , Roadevin Cristina , Dawson Sarah , Lane Deborah , Stubbs Jo , Everitt Hazel , Watson Jessica , Peter Gillett Alastair Hay , Robins Gerry , Jones Hayley , Mallett Sue , Whiting Penny 
Published: January 2025

IntroductionCeliac disease (CD), an autoimmune disorder triggered by gluten, impacts about one percent of the population. Only one-third receive a diagnosis, leaving the majority unaware of their condition. Untreated CD can lead to gut lining damage, resulting in malnutrition, anemia, and osteoporosis. Our primary goal was to identify at-risk groups and assess the cost-effectiveness of active case finding in primary care.MethodsOur methodology involved systematic reviews and meta-analyses focusing on the accuracy of CD risk factors (chronic conditions and symptoms) and diagnostic tests (serological and genetic). Prediction models, based on identified risk factors, were developed for identifying individuals who would benefit from CD testing in routine primary care. Additionally, an online survey gauged individuals’ preferences regarding diagnostic certainty before initiating a gluten-free diet. This information informed the development of economic models evaluating the cost-effectiveness of various active case finding strategies.ResultsIndividuals with dermatitis herpetiformis, a family history of CD, migraine, anemia, type 1 diabetes, osteoporosis, or chronic liver disease showed one and a half to two times higher risk of having CD. IgA tTG, and EMA demonstrated good diagnostic accuracy. Genetic tests showed high sensitivity but low specificity. Survey results indicated substantial variation in preference for certainty from a blood test before initiating a gluten-free diet. Cost-effectiveness analyses showed that, in adults, IgA tTG at a one percent pre-test probability (equivalent to population screening) was the most cost effective. For non-population screening strategies, IgA EMA plus HLA was most cost effective. There was substantial uncertainty in economic model results.ConclusionsWhile population-based screening with IgA tTG appears the most cost effective in adults, decisions for implementation should not solely rely on economic analyses. Future research should explore whether population-based CD screening aligns with UK National Screening Committee criteria and requires a long-term randomized controlled trial of screening strategies.