bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a trial design to establish BNCT as clinical application: insight for the national italian center for oncological hadrontherapy (CNAO)
Authors: Licitra Lisa , Cavalieri Stefano , Tinelli Carmine , Franzetti Jessica , Orlandi Ester 
Published: June 2024

Abstract
Purpose
Boron Neutron Capture Therapy (BNCT) represents an advanced radiation therapy capable of selectively killing tumor cells. It operates on a dual therapy approach, utilizing boronated agents that preferentially deliver boron-10 to tumors, followed by neutron irradiation. This leads to the emission of two ionizing particles. These particles expend all their energy over a distance comparable to the diameter of a cell and can cause irreparable damage to DNA when passing through the nucleus.

Methods
This paper outlines the approach taken by the Italian National Cancer Center for Oncological Hadrontherapy (CNAO) to achieve BNCT certification for clinical applications within the EU regulatory framework.

Results
The existing literature reports excellent outcomes for many unresectable and recurrent tumors, especially in head and neck cancer (HNC).

Conclusions
The paper seeks to clarify the rationale and methods for formulating a clinical trial design to meet these objectives.
Breast Cancer Prevention Practices and Knowledge in Italian and Chinese Women in Italy: Clinical Checkups, Free NHS Screening Adherence, and Breast Self-Examination (BSE)
Authors: Conte Luana , Lupo Roberto , Lezzi Alessia , Sciolti Serena , Rubbi Ivan , Carvello Maicol , Calabrò Antonino , Botti Stefano , Fanizzi Annarita , Massafra Raffaella , Vitale Elsa , De Nunzio Giorgio 
Published: June 2024

Abstract
Breast cancer remains a significant global concern, underscoring the critical need for early detection and prevention strategies. Primary and secondary preventive measures, such as routine screenings and behaviors like breast self-examination (BSE), play a crucial role in facilitating early diagnosis. While the National Health System (NHS) in Italy offers free regular screenings for women aged 50–69, there is a lack of clarity regarding the participation of both Italian and Chinese women residing in Italy in these screening programs. This study aims to bridge this knowledge gap by thoroughly assessing the involvement in regular clinical check-ups and the types of screening employed, the adherence to free screenings offered by the NHS, and the practice of BSE among women aged 50–69 of these two groups. Furthermore, it investigates their knowledge and perceptions regarding breast cancer and BSE. Results reveal disparities in breast cancer control practice between Italian and Chinese women in Italy: the former demonstrates higher adherence to clinical checkups (53% vs. 3%, p < 0.001), while both groups show low participation in free NHS screenings (70% vs. 4%, p < 0.001). Additionally, Chinese women reported significantly lower frequency of mammography (96% vs. 33%, p < 0.001) and ultrasound (69% vs. 16%, p < 0.001). The frequency of BSE also differed substantially, with 47% of Chinese women never performing BSE compared to 12% of Italian women (p < 0.001). This comprehensive exploration provides valuable insights, attitudes, and knowledge into the disparities and potential areas for improvement in breast cancer prevention, thus contributing to the overall well-being of these communities. The findings highlight the necessity for educational initiatives aimed at improving awareness and participation in screenings, particularly among the Chinese population. These initiatives could have profound implications for patient education by equipping women with the knowledge and skills necessary to engage in proactive health behaviors.
Bruce–Roberts numbers and quasihomogeneous functions on analytic varieties
Authors: Bivià-Ausina C. , Kourliouros K. , Ruas M. A. S. 
Published: June 2024

AbstractGiven a germ of an analytic variety X and a germ of a holomorphic function f with a stratified isolated singularity with respect to the logarithmic stratification of X, we show that under certain conditions on the singularity type of the pair (f, X), the following relative analog of the well-known K. Saito’s theorem holds true: equality of the relative Milnor and Tjurina numbers of f with respect to X (also known as Bruce–Roberts numbers) is equivalent to the relative quasihomogeneity of the pair (f, X), i.e. to the existence of a coordinate system such that both f and X are quasihomogeneous with respect to the same positive rational weights.
Forecasting Turkey’s Primary Energy Demand Based on Fuzzy Auto-regressive Distributed Lag Models with Symmetric and Non-symmetric Triangular Coefficients
Authors: Eren Miraç , Baets Bernard De 
Published: June 2024

Abstract
This study aims to guide policymakers in allocating resources and planning for the future by consistently estimating energy data trends. Because of the complexity and uncertainty of energy demand behavior and many influencing factors, we decide to take advantage of a fuzzy regression model to determine the actual relationships in the energy demand system and provide an accurate forecast of energy demand. For this purpose, because of energy demand drivers, fuzzy possibilistic approaches with symmetric and non-symmetric triangular coefficients are integrated with the autoregressive distributed lag (ARDL) model, each in a time-series format with feedback mechanisms inside. After regularizing the L1 (Lasso regression) and L2 (ridge regression) metrics to minimize the overfitting problem, the optimal fuzzy-ARDL model is obtained. Turkey’s primary energy consumption is projected based on the best model by benchmarking the static and dynamic possibilistic fuzzy regression models according to their training and test values.
NdFeB Magnets Recycling via High-Pressure Selective Leaching and the Impurities Behaviors
Authors: Yan Zhiming , Li Zushu , Yang Mingrui , Lv Wei , Sattar Anwar 
Published: June 2024

AbstractGlobal concerns about climate change are driving increased demand of electric vehicles for sustainable transportation and turbines in emerging energy solutions, where permanent magnets (PMs) and rare earth elements (REEs) play a critical role. However, global REEs recycling rates are only 3% and 8% for light and heavy REEs, respectively. This work proposes an effective approach to separate the REEs and iron via high-pressure selective leaching by low-concentrated nitric acid from the end-of-life NdFeB magnet and investigates the impurities behavior during the leaching and precipitation steps. The results from the optimized leaching conditions demonstrated over 95% REEs leaching efficiency with less than 0.3% Fe dissolution. Approximately 70% of Al and B were leached as well, while other elements (Co, Ni, Cu) had leaching efficiencies below 40%, leaving a hematite rich residue. Adjusting the pH removes Al and Fe in leachate but minimally affects Cu, Co, and Ni. Na2S addition is more effective against transition metals, but both methods result in around 10% REEs loss. Direct oxalate precipitation is suggested for the obtained leachate, which can yield over 97.5% REEs oxides with approximately 1.0% alumina, which is acceptable for magnet remanufacturing due to the aluminum content commonly found in magnets. The technology developed in this study offers opportunities for closed-loop recycling and remanufacturing of PMs, benefiting the environment, economy, and supply chain security.
Graphical Abstract
The Ramsey Numbers for Trees of Large Maximum Degree Versus the Wheel Graph $$W_8$$
Authors: Chng Zhi Yee , Britz Thomas , Tan Ta Sheng , Wong Kok Bin 
Published: June 2024

AbstractThe Ramsey numbers $$R(T_n,W_8)$$

R
(

T
n

,

W
8

)

are determined for each tree graph $$T_n$$

T
n

of order $$n\ge 7$$

n
≥
7

and maximum degree $$\Delta (T_n)$$

Δ
(

T
n

)

equal to either $$n-4$$

n
-
4

or $$n-5$$

n
-
5

. These numbers indicate strong support for the conjecture, due to Chen, Zhang and Zhang and to Hafidh and Baskoro, that $$R(T_n,W_m) = 2n-1$$

R
(

T
n

,

W
m

)
=
2
n
-
1

for each tree graph $$T_n$$

T
n

of order $$n\ge m-1$$

n
≥
m
-
1

with $$\Delta (T_n)\le n-m+2$$

Δ
(

T
n

)
≤
n
-
m
+
2

when $$m\ge 4$$

m
≥
4

is even.
A Review of Simulation Modeling of the State Evaluation and Process Prediction of Plasma Processing under Atmospheric Pressure
Authors: Wei Xinyang , Mitchell Alasdair , Sun Rongyan , Yu Nan , Yamamura Kazuya 
Published: June 2024

AbstractIn recent decades, interest in simulation modeling of plasma processing under atmospheric pressure has been growing because of its appealing advantages across various domains. These advantages encompass the provision of diverse data types for evaluating processing states, the capability to predict processing outcomes from current operating conditions, and cost-effectiveness in comparison to experimental methods. This paper endeavors to offer a concise review of the evolution of simulation modeling of atmospheric plasma processing. This review encompasses foundational concepts and methodologies of plasma generation modeling of both thermal and nonthermal plasmas, progressing to discuss the framework and challenges of plasma processing modeling. In addition, a brief overview of contemporary challenges in modeling, such as simplifying complex physics, designing computational domains, and optimizing the balance between computational precision and cost, is provided to foster the advancement of atmospheric plasma processing modeling.
Motivational processes: can perceptions of fairness augment effects of favourable autonomy supportive practices on satisfaction of the basic psychological needs?
Authors: Chatzisarantis Nikos L. D. , Kamarova Sviatlana , Ahmadi Malek , Ada Elif Nilay , Papaioannou Athanasios 
Published: June 2024

AbstractBased on Self-Determination theory and social interaction models of social justice, in this article we examined whether perceptions of fairness catalysed the positive effects autonomy support on motivational and well-being outcomes. The study was conducted in the context of an all-boys school with 302 students, adopting a prospective design. Using surface analysis to estimate the dependent variables to be tested in non-liner regressions, the current research empirically extends social interaction models of distributive justice by testing, for the first time, whether perceptions of fairness can moderate the effects of autonomy supportive practices on satisfaction of psychological needs. The results demonstrated that perceptions of fairness engendered positive effects of favourable forms of autonomy support on satisfaction of the psychological need for competence. No analogous positive effects on other outcomes were found. Therefore, the perceptions of fairness constitute an important component of autonomy-supportive class climates that catalyse positive effects of favourable forms of autonomy support on satisfaction of the psychological need for competence. This evidence suggests that students are more likely to experience high levels of competence during physical education classes when they perceive that their favourable treatment is fair, though the effect does not generalise to autonomous motivation or subjective well-being.
Exploring the Use of Resume Reviews to Understand Skill Sets Valued in Biomedical Engineers by Employers
Authors: Wang Annie AnMeng , Jamison Cassandra Sue Ellen 
Published: June 2024

AbstractThe breadth of opportunities in biomedical engineering (BME) creates both a diversity of career options for students pursuing the degree and a potential hurdle in communicating the relevance of their skills when applying for specific jobs. This conundrum has driven research efforts seeking to understand what is valued by BME employers. Our work explored this area of need through an analysis of researcher-designed resumes (DRs) based on skills potentially of interest to BME recruiters in industry and academia. DRs were distributed to potential employers through an online survey asking about their perspectives on the quality of a subset of four DRs based on their indicated area of expertise. We performed a quantitative and qualitative analysis of 12 industry and 6 academic responses and compared our results to existing BME resume evaluation rubrics. Our results confirm a quantitative alignment between existing BME resume rubrics and employer’s perceptions which was previously unexplored. Qualitative results pointed toward (1) the importance of how experiences are represented as an important differentiator in resume reviews, (2) the acknowledgment from reviewers that resumes are only one step in a job application, and (3) specific similarities and differences in the skills that academic and industry employers look for in BME resumes. Our work provides validity evidence from employer perspectives to support the use of existing resume guidance tools in BME. Our qualitative data analysis expands that guidance by making recommendations for additional tools to craft resumes that clearly communicate the relevant experiences of an applicant.
Listening to teachers talk about multimodality and multimodal texts: considerations for the national English curriculum
Authors: Brosseuk Deb , Downes Lynn 
Published: June 2024

AbstractMultimodal texts are an integral part of children’s lives. Rapid advancements in media and mobile technologies have increasingly expanded children’s capability to view, share, design, and produce multimodal texts. However, Australia’s updated English curriculum falls short of offering teachers a metalanguage to help children understand the complex ways linguistic, visual, audio, gestural, and spatial modes work together to convey meaning. This article reports qualitative research on teachers talking about multimodal texts within their pedagogy and literacy practice. Data were generated through semi-structured interviews with eight early years and primary Australian teachers. Fairclough’s Critical Discourse Analysis (CDA) is the analytic framework utilised in the research. From teachers’ talk, findings show that if children are to be effective multimodal text users, analysts, designers, and creators, the curriculum should not privilege particular modes and their associated metalanguage but provide teachers with a metalanguage for all modes of meaning-making.
Assessing the sustainability literacy of undergraduate students in a first-year writing course
Authors: Erguvan Inan Deniz 
Published: June 2024

AbstractWith sustainability becoming a familiar concept in society, higher education institutions have also started playing a more active role in this field, showing an increasing interest in students’ comprehension of sustainability. This interest has led to the need for developing methods of assessing students’ sustainability knowledge, as observed in many scholars’ and institutions’ research efforts. To this end, this study aims to evaluate the sustainability literacy levels of students enrolled in a first-year composition course using a mixed-method sequential explanatory design. The quantitative phase involved 221 students who completed a questionnaire assessing their knowledge, skills, attitudes, and familiarity with sustainability concepts and topics. Following this, 60 students were asked to write an essay identifying Kuwait’s significant sustainability challenges and proposing solutions. The results showed that gender, high school type, grade point average (GPA) value, and whether they heard about the term sustainability before caused significant differences in students’ knowledge, skills, and attitudes about sustainability. Also, the students primarily associate sustainability challenges with environmental problems; social and economic challenges are rarely mentioned in essays.
Enhancing growth performance, feed efficiency, and economic feasibility of turkey production through the incorporation of zootech feed fortifier in a high-fiber turkey diet
Authors: Anigbogu Nnamdi Mbanefo , Agida Christopher Agboje , Okechukwu Godswill C. , Ihugba E. Uchechi , Aroh Izuchukwu Martin 
Published: June 2024

AbstractThis study evaluated the impact of incorporating Zootech feed fortifier mix into a graded ration of sawdust and palm kernel cake (PKC); a high fibre diet, on the growth performance, carcass, organoleptic, and bio-economics of turkey birds. This eight-week feeding trial involved 320 unsexed indigenous strains of turkey poults brooded in deep litter and assigned to four dietary treatments (T1, T2, T3, and T4). The experimental design involved four treatments with four replicates, with a total of twenty birds per replicate. The treatment diets/groups were as follows: T1 (farmer’s practice turkey diet/standard turkey feed), T2 (5% sawdust/18% PKC), T3 (10% sawdust/13% PKC), and T4 (15% sawdust/8% PKC). It was revealed from this study that turkeys fed T4 diets exhibited significantly higher differences (p < 0.01) in final weight gain and average daily weight gain compared to other treatments. At the same time, T1 (control) had the lowest weight gain. Average daily feed intake had a significantly higher difference (p < 0.01) in turkeys fed T4 diets, with the lowest intake in the control group. Turkeys fed T4 and control diets achieved the best feed conversion ratio, while T2 and T3 groups were less efficient. Carcass traits and internal organ proportions were significantly higher (p < 0.05) in turkeys fed T4 diets. The organoleptic assessment indicated superior meat quality (p < 0.05) in treatment four groups . Economic analysis revealed significantly lower costs per kilogram of feed and total feed consumed in T2, T3, and T4 groups compared to the control (p < 0.05) groups. In summary, incorporating a Zootech feed fortifier into a sawdust/palm kernel diet positively influenced turkey growth, feed efficiency, carcass traits, tastes, and economic viability.
Explicitly Resolving Lightning and Electrification Processes From the 10–12 April 2019 Thundersnow Outbreak
Authors: Harkema Sebastian S. , Mansell Edward R. , Fierro Alexandre O. , Carey Lawrence D. , Schultz Christopher J. , Matsui Toshi , Berndt Emily B. 
Published: June 2024

AbstractThe 10–12 April 2019 thundersnow (i.e., lightning within snowfall) outbreak was examined via ground‐ and space‐based lightning observations and was simulated using a numerical weather prediction model with an explicit electrification parameterization. When compared to observations, the simulation propagated the synoptic snowband two to six hours faster while also exaggerating the 3‐D reflectivity structure. Throughout the event, the simulation produced 1,733 thundersnow flashes which was less than what was observed by ground‐ and space‐based lightning sensors. In general, simulated thundersnow flashes were spatially offset from the largest reflectivities within the synoptic snowband and tended to occur within elevated convection that traversed isentropically along the top of mid‐level frontogenesis. These simulated thundersnow flashes were associated with a tripole charge structure with ice/snow hydrometeors contributing most to the main negative charge region. Both simulated and observed thundersnow flashes initiated in conditionally unstable environments. Lastly, a conceptual model was developed to explain the spatial separation between the largest reflectivities in the snowband and the occurrence of thundersnow. It is hypothesized that the spatial offset of thundersnow initiation from the reflectivity cores within the synoptic snowband arose from a thermal circulation—induced by mid‐level frontogenesis—that advects positively charged ice/snow hydrometeors toward the surface and creates a nearly homogeneous vertical charge structure.
A Runoff‐On‐Grid Approach to Embed Hydrological Processes in Shallow Water Models
Authors: Perrini Pasquale , Cea Luis , Chiaravalloti Francesco , Gabriele Salvatore , Manfreda Salvatore , Fiorentino Mauro , Gioia Andrea , Iacobellis Vito 
Published: June 2024

AbstractCatchment‐scale hydrological models encountered dichotomies with the numerical hydrodynamic models when describing surface routing process. We propose a new modeling framework, the so‐called “Runoff‐On‐Grid” approach, for embedding distributed process‐based hydrological modeling into shallow water models, as an alternative to the traditional Fully Hydrodynamic Approach (also known as Rain‐On‐Grid). Antecedent Soil Moisture, subsurface dynamics, and other topsoil hydrological processes are implicitly integrated in the governing hydrodynamic equations via the proposed methodology. The resulting hydrological‐hydrodynamic coupling, based on the DREAM distributed hydrological model and the Iber+ shallow water model, enhances the capabilities of both reference models. Through introducing non‐negligible runoff generation sources, the Runoff‐On‐Grid approach extends the surface hydrodynamic modeling to medium‐sized vegetated and/or (semi)humid catchments, bypassing the limitations of the widespread hydrological losses' empirical formulations. Employed in an event‐based analysis within a High‐Performance Computing framework, the DREAM‐Iber model provides an efficient and reliable reconstruction of the November 2020 flood that occurred in Crotone (Italy), envisaging consequences of similar future scenarios. We show that the proposed modeling technique, nested within emerging environmental technologies and robust on‐site data, details the flood hazard inducing processes merging physical hydrology with advanced hydrodynamics.
Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance
Authors: Kang Xueyuan , Kokkinaki Amalia , Shi Xiaoqing , Lee Jonghyun , Guo Zhilin , Ni Lingling , Wu Jichun 
Published: June 2024

AbstractThe mass discharge emanating from dense non‐aqueous phase liquid (DNAPL) source zones (SZs) is often used as a key metric for risk assessment. To predict the temporal evolution of mass discharge, upscaled models have been developed to approximate the relationship between the depletion of SZ and the mass discharge. A significant challenge stems from the choice of the SZ parameterization, so that a limited number of domain‐averaged SZ metrics can suffice as an input and accurately predict the complex mass‐discharge behavior. Moreover, existing deterministic upscaled models cannot quantify prediction uncertainty stemming from modeling parameterization. To address these challenges, we propose a method based on a Bayesian Neural Network (BNN) which learns the non‐linear relationship between SZ metrics and mass discharge from multiphase‐modeling training data. The proposed BNN‐based upscaled model allows uncertainty quantification since it treats trainable parameters as distributions, and does not require a manual parameterization of the SZ a‐priori. Instead, the BNN model chooses three physically meaningful SZ quantities related to mass discharge as input features. Then, we use the expected gradients method to identify the feature importance for mass‐discharge prediction. We evaluated the proposed model on laboratory‐scale DNAPL dissolution experiments. The results show that the BNN model accurately reproduces the multistage mass‐discharge profiles with fewer parameters than existing upscaled models. Feature importance analysis shows that all chosen features are important and sufficient to reproduce complex mass discharge. This model provides accurate mass‐discharge predictions and uncertainty estimation, therefore holds a great potential for probabilistic risk assessments and decision‐making.