bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minimal residual disease in systemic light chain amyloidosis: a systematic review and meta-analysis
Authors: Li Xuefeng , Yu Yan , Yu Hongbin , Chen Mengran , Zhang Xin , Wu Yu 
Published: April 2024

Abstract
Purpose
Minimal residual disease (MRD) is a validated prognostic factor in several hematological malignancies. However, its role in systemic light chain (AL) amyloidosis remains controversial, and this systematic review and meta-analysis aims to fill this gap.

Methods
We searched for relevant studies on Pubmed, Embase, and Cochrane Controlled Register of Trials, nine studies involving 451 patients were included and meta-analyzed. This systematic review has been registered in PROSPERO (CRD42023494169).

Results
Our study found that in the group of patients who achieved very good partial response (VGPR) or better, MRD negativity was correlated with higher cardiac and renal response rates [pooled risk ratio (RR) = 0.74 (95% CI 0.62–0.89), 0.74 (95% CI 0.64–0.87), respectively]. Patients with MRD positivity had a higher hematologic progression rate within two years after MRD detection [pooled RR = 10.31 (95% CI 2.02–52.68)]; and a higher risk of hematologic + organ progression in the first year [pooled RR = 12.57 (95% CI 1.73–91.04)]. Moreover, MRD negativity was correlated with a better progression-free survival (PFS) [pooled hazard ratio (HR) = 0.27 (95% CI 0.17–0.45)]; but it did not significantly improve the overall survival (OS) [pooled HR = 0.34 (95% CI 0.11–1.07)].

Conclusion
In AL amyloidosis, our study supports that MRD negativity correlates with higher cardiac or renal response rates and indicates a better PFS in the follow-up. However, the correlation between OS and the status of MRD is not significant.
Deep learning-powered multimodal biometric authentication: integrating dynamic signatures and facial data for enhanced online security
Authors: Salturk Serkan , Kahraman Nihan 
Published: April 2024

AbstractThe significant increase in online activities in the wake of recent global events has underlined the importance of biometric person authentication on digital platforms. Although many biometric devices may be used for precise biometric authentication, acquiring the necessary technology, such as 3D sensors or fingerprint scanners, can be prohibitively expensive and logistically challenging. Addressing the demands of online environments, where access to specialized hardware is limited, this paper introduces an innovative approach. In this work, by fusing static and dynamic signature data with facial data captured through regular computer cameras, a dataset of 1750 samples from 25 individuals is constructed. Deep learning models, including convolutional neural networks (CNN), long short-term memory (LSTM), gated recurrent unit (GRU), and temporal convolutional networks (TCN), are employed to craft a robust multi-classification model. This integration of various deep learning algorithms has demonstrated remarkable performance enhancements in biometric authentication. This research also underscores the potential of merging dynamic and static biometric features, derived from readily available sources, to yield a high-performance recognition framework. As online interactions continue to expand, the combination of various biometric modalities holds potential for enhancing the security and usability of virtual environments.
Moving contact problem of a functionally graded orthotropic coated half plane
Authors: Karabulut Pembe Merve , Çetinkaya İlkem Turhan , Oğuz Hüseyin , Çömez İsa 
Published: April 2024

AbstractThis paper develops a frictional moving contact model for a functionally graded (FG) orthotropic layer pressed by a rigid cylindrical punch. The FG orthotropic layer is fully bonded to the isotropic half-plane. The punch moves to the left on the layer at a constant subsonic velocity and a shear stress arises in the contact zone according to the Coulomb friction law. General expressions of displacements and stresses are derived with the help of the Fourier transform and Galilean transformation. Using boundary conditions, the moving contact problem is reduced to a Cauchy-type singular integral equation, the unknowns of which are contact stress and contact width. Gauss–Jacobi integration formula is used to solve the obtained singular integral equation. The effect of some parameters and material properties on the contact width, contact stress and in-plane stress are given in graphical forms and detailed numerical interpretations are presented.
A 3D printed acoustofluidic nozzle-diffuser microfluidic pump
Authors: Yetiskin Erturan , Gucluer Sinan , Erdem Ilayda , Ozcelik Adem 
Published: April 2024

AbstractMicrofluidic flow control systems are critical components for on-chip biomedical applications. This study introduces a new micropump for on-chip sample preparation and analysis by using an acoustic nozzle diffuser mechanism. The micropump implements a commercially available transducer and control board kit with 3D-printed fluid reservoirs. In this micropump, conic-shaped micro-holes on the metal sheet cover of the transducer are employed as oscillating nozzle diffuser micro arrays to achieve directional flow control. The micropump is shown to efficiently pump water and particle mixtures exceeding flow rates of 515 µl/min at a 12-volt input voltage. In addition, owing to the small size of the nozzle hole opening, larger particles can also be filtered out from a sample solution during fluid pumping enabling a new function. Importantly, the micropump can be fabricated and assembled without needing a cleanroom, making it more accessible. This feature is advantageous for researchers and practitioners, eliminating a significant barrier to entry. By combining commercially available components with 3D printing technology, this micropump presents a cost-effective and versatile solution for on-chip applications in biomedical research and analysis.
Artificial intelligence and edge computing for machine maintenance-review
Authors: Bala Abubakar , Rashid Rahimi Zaman Jusoh A. , Ismail Idris , Oliva Diego , Muhammad Noryanti , Sait Sadiq M. , Al-Utaibi Khaled A. , Amosa Temitope Ibrahim , Memon Kamran Ali 
Published: April 2024

AbstractIndustrial internet of things (IIoT) has ushered us into a world where most machine parts are now embedded with sensors that collect data. This huge data reservoir has enhanced data-driven diagnostics and prognoses of machine health. With technologies like cloud or centralized computing, the data could be sent to powerful remote data centers for machine health analysis using artificial intelligence (AI) tools. However, centralized computing has its own challenges, such as privacy issues, long latency, and low availability. To overcome these problems, edge computing technology was embraced. Thus, instead of moving all the data to the remote server, the data can now transition on the edge layer where certain computations are done. Thus, access to the central server is infrequent. Although placing AI on edge devices aids in fast inference, it poses new research problems, as highlighted in this paper. Moreover, the paper discusses studies that use edge computing to develop artificial intelligence-based diagnostic and prognostic techniques for industrial machines. It highlights the locations of data preprocessing, model training, and deployment. After analysis of several works, trends of the field are outlined, and finally, future research directions are elaborated
Barriers to Mental Health Care Transition for Youth and Young Adults with Intellectual and Developmental Disabilities and Co-occurring Mental Health Conditions: Stakeholders’ Perspectives
Authors: Mirzaian Christine B. , Deavenport-Saman Alexis , Hudson Sharon M. , Betz Cecily L. 
Published: April 2024

AbstractYouth and young adults (YYA) with intellectual and developmental disabilities (IDD) have high rates of co-occurring mental health (MH) conditions. The time during transition from pediatric to adult health and mental health care can be a very challenging, with risk of loss of services leading to poor outcomes. This study aimed to explore barriers to transition from pediatric to adult health and mental health care and services for individuals with IDD and co-occurring MH conditions, by eliciting the view of stakeholders, including disability advocates. Qualitative analysis was conducted using grounded theory, and themes were coded based upon the social-ecological model (SEM). We generated themes into multiple levels: the individual level, the family level, the provider level, the systems of care level, and the societal level. Stakeholders expressed a critical need to improve coordination between systems, and to increase provider availability to care for YYA with IDD and co-occurring MH conditions.
Factors Influencing the Integration of Traditional Medicine and Mainstream Medicine in Mental Health Services in West Africa: A Systematic Review Using Narrative Synthesis
Authors: Soori Batuuroh I. P. , Regmi Krishna , Pappas Yannis 
Published: April 2024

AbstractThis study explored the enablers and obstacles to the integration of traditional medicine and mainstream medicine in mental health services in West Africa. This study is a systematic review conducted in accordance with the relevant parts of the Preferred Reporting Items for Systematic reviews and Meta-analyses. Keywords searches were done in databases, and other reference lists were also searched. The Rainbow model of integrated care and a thematic analysis framework were used to account for the factors influencing the integration of traditional medicine and mainstream medicine in mental health services in West Africa. A total of 12 studies met the eligibility criteria after the evaluation of 6413 articles from databases and reference lists. The themes of: policy and implementation; different conceptualisation of mental health/referrals; trust issues, and education and training, were enablers or obstacles of integration depending on how they worked to facilitate or hinder integration. There was an indication of little integration of TM and MM at the macro, meso and micro levels in mental health services in West Africa. Though the study does cover all the West African states evenly, it is recommended that policy-makers and stakeholders interested in integration should ensure integration activities, especially policies, cut across all the levels of the rainbow model of integrated care and are planned and aligned at the macro, meso and micro levels instead of using ad hoc measures, informal initiatives or placing TM services in MM mental health services, which do not amount to integration.
Impact of an EFL Digital Application on Learning, Satisfaction, and Persistence in Elementary School Children
Authors: Hori Rikito , Fujii Makoto , Toguchi Takaaki , Wong Steven , Endo Masayuki 
Published: April 2024

AbstractThere is a lack of research evaluating the effects of digital textbooks and digital apps on learning for early elementary school learners. Therefore, this study conducted a randomized controlled trial to evaluate how an iPad application for learning English as a foreign language impacted children’s grammar understanding, satisfaction, persistence, and confidence compared to a digital textbook. A total of 119 Japanese first- and second-graders participated in the study. They were randomly divided into groups studying English using “digital books” or “applications” over five days. Pre- and post-intervention tests and questionnaires were used to measure their understanding of the study content, satisfaction, persistence, and confidence in English. Application-based learning was more effective than digital books in terms of grammar comprehension and was significantly better for satisfaction and persistence. The results suggested the use of specific criteria for selecting multimedia learning materials, including a high degree of learner control, autonomy to manipulate the learning environment, feedback on learning activities, and guaranteed interactions with the learning materials.
Does Support for Professional Development in Early Childhood and Care Settings Matter? A Study in Four Countries
Authors: Cadima Joana , Ferreira Tiago , Guedes Carolina , Alves Diana , Grande Catarina , Leal Teresa , Piedade Filipe , Lemos Ana , Agathokleous Andri , Charalambous Vicky , Vrasidas Charalambos , Michael Demos , Ciucurel Manuela , Chirlesan Georgeta , Marinescu Bogdan , Duminica Delia , Vatou Anastasia , Tsitiridou-Evangelou Maria , Zachopoulou Evridiki , Grammatikopoulos Vasilis 
Published: April 2024

AbstractProfessional Development (PD) can be a powerful lever for improving the quality of teacher-child interactions in early childhood education and care (ECEC) and teachers’ feelings of support and competence. However, there is a dearth of studies examining different formats of PD and their links with workplace features. The present study aims to understand (a) different types of PD participation (structured and center-embedded) and their levels of interest of preschool teachers in four European countries (Cyprus, Greece, Portugal, and Romania), and (b) the extent to which they are associated with PD incentives and perceived support. Participants were preschool teachers from Cyprus (N = 93; Mage = 41; SD = 7.47), Greece (N = 92; Mage = 40; SD = 9.81), Portugal (N = 92; Mage = 45; SD = 9.65), and Romania (N = 97; Mage = 40; SD = 10.40). The vast majority of participants were women (95-99%). Participants reported on PD attendance – structured (courses/seminars, conferences) and center-embedded (e.g., observation visits, peer and/or self-observation) –, levels of interest in PD; PD incentives (e.g., release from working with children; reimbursement/payment of costs); and perceived workplace support. Results from the Multi-Group Path Models showed that, in all countries, the provision of incentives was associated with increased participation in center-embedded PD, but not in structured PD. Additionally, the perceived support from their setting was positively associated with greater interest in PD. Understanding what best supports different types of PD can be critical to inform policy efforts aiming to increase PD attendance.
“I’m a bit out of place here.”—Preservice teachers’ positioning in the figured world of university mathematics
Authors: Gildehaus Lara , Liebendörfer Michael , Heyd-Metzuyanim Einat 
Published: April 2024

AbstractPreservice mathematics teachers are sometimes trained in programs so that they have both their own courses and joint courses with mathematics majors from the beginning of their studies. While this is thought to provide them with both deep mathematical knowledge and teaching-specific content right from the start, many of them report disaffection with and disengagement from mathematics during their very first semester. Current approaches often frame this from an individual’s perspective, investigating cognitive and affective individual differences among students. In contrast, we aim to understand this issue from a sociocultural perspective, examining underlying social processes. In this study, we thus explored preservice teachers’ experiences of the mathematics component of their training, using Holland and colleagues’ theory of figured worlds as a theoretical lens. Three group interviews with 14 preservice higher secondary teachers in a common mixed setting in Germany (one course specific to preservice teachers, one general mathematics course together with major students) were analyzed. Our findings displayed that the preservice teachers experienced two dichotomous figured worlds of mathematics and mathematics teaching. Our further analysis of their positioning between these worlds provided new insights to explain their disaffection, disengagement, and consequent learning behavior. We discuss practical implications, focusing on different teaching systems and interventions in teacher education.
Momentum and energy considerations in self-aerated free-surface flows
Authors: Chanson Hubert , Nina Yvan Aroquipa 
Published: April 2024

AbstractIn high-velocity free-surface flows, the interactions between the fast-flowing flow and the atmosphere can lead to strong air–water mixing through the free-surface. The flow resistance may be derived from momentum and energy considerations. This was undertaken through some theoretical development based upon an extension of traditional integral approaches to air–water flows, with the re-analyses of detailed air–water measurements in both prototype spillways and large-size physical models. Both the momentum and energy approaches yielded close results in terms of the Darcy-Weisbach friction factor. Based upon the same data sets, the absence of correction coefficients was found to under-estimate the residual energy, compared to the detailed calculations using the relevant air–water kinetic energy and pressure correction coefficients. The finding has basic design implications, which are discussed.
Drivers of European housing prices in the new millennium: demand, financial, and supply determinants
Authors: Melecky Ales , Paksi Daniel 
Published: April 2024

AbstractMany countries in Europe have experienced a steady increase in housing prices over the past decade, which continued even during the recent crisis. We analyze a panel of 15 European countries over the period 2000–2020. We find that demand-side determinants, such as GDP, unemployment, wage and population, strongly influence housing prices. Nevertheless, we suggest that construction costs, access to finance (credit to GDP), and financing costs (long-term interest rate) should be included to avoid biased results. We find that financial development can significantly affect housing prices in the long run. We confirm the robustness of our results by conducting a lag sensitivity analysis of selected determinants. In addition, we find a negative effect of the GFC and a positive effect of the Covid crisis on housing prices. Furthermore, we find that countries with a mild reaction to or a quick recovery from the GFC experienced significantly higher housing price growth.
Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps
Authors: Faissner Mirjam , Kuhn Eva , Müller Regina , Laacke Sebastian 
Published: April 2024

AbstractSmartphone apps might offer a low-threshold approach to the detection of mental health conditions, such as depression. Based on the gathering of ‘passive data,’ some apps generate a user’s ‘digital phenotype,’ compare it to those of users with clinically confirmed depression and issue a warning if a depressive episode is likely. These apps can, thus, serve as epistemic tools for affected users. From an ethical perspective, it is crucial to consider epistemic injustice to promote socially responsible innovations within digital mental healthcare. In cases of epistemic injustice, people are wronged specifically as epistemic agents, i.e., agents of the production and distribution of knowledge. We suggest that epistemic agency relies on different resource- and uptake-related preconditions which can be impacted by the functionality of passive self-tracking apps. We consider how this can lead to different forms of epistemic injustice (testimonial, hermeneutical, and contributory injustice) and analyze the influence of the apps’ use on epistemic practices on an individual level, in mental healthcare settings, and on the structural level.
Resistance not resilience traits structure macroinvertebrate communities in newly drying stream sections
Authors: Bozóki Tamás , Várbíró Gábor , Csabai Zoltán , Schmera Dénes , Boda Pál 
Published: April 2024

AbstractTransitioning from perennial to non-perennial flow regimes causes ecological shifts in aquatic communities. Aquatic macroinvertebrates deploy resistance and resilience strategies to cope with flow intermittency, crucial in rivers with long-term seasonal dry episodes. Less is known, about how these strategies support community persistence in streams that only recently have experienced drying, and where local assemblages lack such adaptations. Our study conducted two four-season campaigns, separated by a one-year break, to assess macroinvertebrate responses in newly drying intermittent streams by comparing intermittent and perennial stream sections. We characterize communities from structural and functional perspectives, and then evaluate the response at the trait state level. We observed a decline in taxa richness and abundance, but not structural diversity, in response to flow intermittency. Resistance traits are more important than resilient traits in structuring macroinvertebrate communities in newly intermittent stream sections. Taxa in intermittent sections exhibit a smaller trait space, indicating lower functional redundancy. The macroinvertebrate response to intermittency lacks a predictable pattern, suggesting time-dependent and trait-state-specific colonization by adapted taxa and community assembly with resistance and resilience strategies. As river drought increases due to climate change, recognizing the temporal dimension becomes crucial for understanding ecological responses to intermittency.
Utilizing artificial intelligence in academic writing: an in-depth evaluation of a scientific review on fertility preservation written by ChatGPT-4
Authors: Safrai Myriam , Orwig Kyle E. 
Published: April 2024

Abstract
Purpose
To evaluate the ability of ChatGPT-4 to generate a biomedical review article on fertility preservation.

Methods
ChatGPT-4 was prompted to create an outline for a review on fertility preservation in men and prepubertal boys. The outline provided by ChatGPT-4 was subsequently used to prompt ChatGPT-4 to write the different parts of the review and provide five references for each section. The different parts of the article and the references provided were combined to create a single scientific review that was evaluated by the authors, who are experts in fertility preservation. The experts assessed the article and the references for accuracy and checked for plagiarism using online tools. In addition, both experts independently scored the relevance, depth, and currentness of the ChatGPT-4’s article using a scoring matrix ranging from 0 to 5 where higher scores indicate higher quality.

Results
ChatGPT-4 successfully generated a relevant scientific article with references. Among 27 statements needing citations, four were inaccurate. Of 25 references, 36% were accurate, 48% had correct titles but other errors, and 16% were completely fabricated. Plagiarism was minimal (mean = 3%). Experts rated the article’s relevance highly (5/5) but gave lower scores for depth (2–3/5) and currentness (3/5).

Conclusion
ChatGPT-4 can produce a scientific review on fertility preservation with minimal plagiarism. While precise in content, it showed factual and contextual inaccuracies and inconsistent reference reliability. These issues limit ChatGPT-4 as a sole tool for scientific writing but suggest its potential as an aid in the writing process.