bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon ion radiotherapy in gynaecological oncology: where we are and where we are headed
Authors: Barcellini Amelia , Charalampopoulou Alexandra , Franzetti Jessica , Locati Laura Deborah , Orlandi Ester 
Published: May 2024

Abstract
Purpose
In the present brief report, the authors summarized the data on the use of carbon ion radiotherapy in gynaecological malignancies starting from the preclinical evidence to move forward the clinically available literature and hence focusing on the possible future application directions.

Methods
This is a short report of the published studies on the role of carbon ion radiotherapy in the treatment of gynaecological malignancies.

Results
The use of carbon ion radiotherapy in rare and radioresistant gynaecological tumors is supported by preclinical and clinical data. In particular, carbon ion radiotherapy appears to be safe and effective in the management of cervical adenocarcinomas, unresectable endometrial cancers, mucosal melanomas of the lower genital tract and vulvar adenoid cystic carcinomas. Moreover, considering the dosimetric characteristics, carbon ions are suitable for recurrent disease in the pelvis. Prospective and phase II trials on gynaecological melanomas and pelvic relapses after radiotherapy are currently ongoing. The future study directions might be the oligometastatic diseases and the oncofertility.

Conclusions
More and more growing preclinical and clinical evidence supports the use of carbon ion radiotherapy in gynaecological oncology. Strong and multidisciplinary collaborations at national and international levels are desirable to better understand the therapeutic and organizational benefits of this new technology.
Something Out of Nothing? The Influence of Double-Zero Studies in Meta-analysis of Adverse Events in Clinical Trials
Authors: Fan Zhaohu , Liu Dungang , Chen Yuejie , Zhang Nanhua 
Published: May 2024

AbstractIn addition to clinical efficacy, safety is another important outcome to assess in randomized controlled trials. It focuses on the occurrence of adverse events, such as stroke, deaths, and other rare events. Because of the low or very low rates of observing adverse events, meta-analysis is often used to pooled together evidence from dozens or even hundreds of similar clinical trials to strengthen inference. A well-known issue in rare-event meta-analysis is that some or even majority of the available studies may observe zero events in both the treatment and control groups. The influence of these so-called double-zero studies has been researched in the literature, which nevertheless focuses on reaching a dichotomous conclusion—whether or not double-zero studies should be included in the analysis. It has not been addressed when and how they contribute to inference, especially for the odds ratio. This paper fills this gap using comparative analysis of real and simulated data sets. We find that a double-zero study contributes to the odds ratio inference through its sample sizes in the two arms. When a double-zero study has an unequal allocation of patients in its two arms, it may contain non-ignorable information. Exclusion of these studies, if taking a significant proportion of the study cohort, may result in inflated type I error, deteriorated testing power, and increased estimation bias.
Is It Worth Investing in Tokens? Investment Performance of Digital Tokens in Financial and Axiological Contexts
Authors: Nowak Karolina Anna , Wiśniewski Marcin , Litwiński Michał 
Published: May 2024

AbstractThe paper focuses on financial and axiological aspects of the new instrument in the digital economy, such as digital tokens (DTs). The purpose of the article is to examine the investment performance of certain types of DTs. We suggest a categorisation of DTs according to the types of assets that they represent and analyse them in terms of profitability, risk, and effectiveness. The investment performance of different types of DTs was compared with stock market indices and commodity prices. The empirical source of information is data from the coinpaprika platform from January 2018 to July 2022. It occurs that DTs demonstrate, on average, lower investment performance than traditional instruments. However, there is a wide group of the former that can be included in the portfolio as their investment performance is higher than the one represented by stock market assets. Our contribution comprises, first, the extension of existing research on tokenization and tokens to include the investment aspect. Second, we develop and apply the original proposal of DT classification, which takes into account the hitherto neglected aspect of worldview valuation of a given DT type by market participants. Finally, we assess the investment performance of DTs (both in terms of our proposed classification and in the context of stock market indices). We also specify recommendations for investors.
Ensemble learning-based structural health monitoring of a bridge using an interferometric radar system
Authors: Yaghoubzadehfard Ali , Lumantarna Elisa , Herath Nilupa , Sofi Massoud , Rad Mehmet 
Published: May 2024

AbstractDue to the increase in population, urbanisation, transportation development, and the aging of existing bridges, there is a growing need for new and rapid structural health monitoring (SHM) of bridges. To address this challenge, a method that stands out is the use of an interferometric radar system-based device, specifically Image by Interferometric Survey-Frequency for structures (IBIS-FS). Known for its portability and non-intrusive operation, IBIS-FS does not require direct contact with the bridge. This study utilised IBIS-FS to capture a pedestrian bridge’s natural frequencies and mode shapes. The data obtained were found to be consistent with results from finite element models, demonstrating the reliability of IBIS-FS in capturing modal parameters. Building upon this foundation, the study then explores the application of advanced ensemble-based machine-learning techniques. By leveraging the data acquired from IBIS-FS, algorithms such as Random Forest, Gradient-boosted Decision Trees (GBDT), and Extreme Gradient Boosting (XGBoost) are used for bridge damage detection. These machine-learning (ML) techniques are suited to analyse the incomplete modal parameters of bridges, as captured by IBIS-FS. The study focuses on using these algorithms to interpret the changes in modal parameters, specifically identifying damage as a reduction in the stiffness of elements. This approach allows for a comprehensive analysis, where the modal parameters, including mode shapes and natural frequencies altered by varying noise levels, are fed as input to the models. It was observed that all three ML methods, with Random Forest in particular, can effectively identify the location and severity of damage, demonstrating an efficient training process. The robustness of GBDT and XGBoost in handling complex data sets also shows great promise for their application in bridge damage detection. Collectively, these results underscore the potential of combining advanced ML techniques like Random Forest, GBDT, and XGBoost with the data acquired from IBIS-FS.
Antiviral and anti-inflammatory activities of chemical constituents from twigs of Mosla chinensis Maxim
Authors: Feng Shi-Yan , Jiang Na , Yang Jia-Ying , Yang Lin-Yao , Du Jiang-Chao , Chen Xuan-Qin , Liu Dan , Li Rong-Tao , Zhong Jin-Dong 
Published: May 2024

AbstractSeven undescribed compounds, including three flavones (1–3), one phenylpropanoid (19), three monoaromatic hydrocarbons (27–29), were isolated from the twigs of Mosla chinensis Maxim together with twenty-eight known compounds. The structures were characterized by HRESIMS, 1D and 2D NMR, and ECD spectroscopic techniques. Compound 20 displayed the most significant activity against A/WSN/33/2009 (H1N1) virus (IC50 = 20.47 μM) compared to the positive control oseltamivir (IC50 = 6.85 µM). Further research on the anti-influenza mechanism showed that compound 20 could bind to H1N1 virus surface antigen HA1 and inhibit the early attachment stage of the virus. Furthermore, compounds 9, 22, 23, and 25 displayed moderate inhibitory effects on the NO expression in LPS inducing Raw 264.7 cells with IC50 values of 22.78, 20.47, 27.66, and 30.14 µM, respectively.
Graphical Abstract
Effect of Particle Size and Starch Gelatinization on the Mechanical and Metallurgical Performance of Jarosite Plus Blast Furnace Sludge Self-Reducing Briquettes
Authors: Dall’Osto G. , Mombelli D. , Trombetta V. , Mapelli C. 
Published: May 2024

AbstractJarosite and blast furnace sludge (BFS) are two of the main wastes from hydrometallurgical zinc production and iron production by blast furnace, respectively. Jarosite is a hazardous material that can, however, be reused in the steel industry after the recovering of the iron contained within it through carbothermal reduction in which BFS is exploited as a reducing agent. Yet, both wastes have a powdery nature that makes it necessary to agglomerate them for industrial use. On the other hand, despite the advantages of producing a self-reducing product, the particle size of the starting powders and the level of gelatinization of the binder could play a crucial role on the mechanical and metallurgical performance and, consequently, on the industrial applicability of the briquettes. Accordingly, two powder particle sizes (very fine sand vs. coarse silt) and three degree of corn starch binder retrogradation (10%, 30% and non-gelatinized starch) were used to produce briquettes, and their influence was studied by experimental and statistical investigation. The results showed that gelatinization plays the main role on the mechanical properties of briquettes, while particle size affects both density and reduction behavior; in particular, although all the mixtures were able to recover iron at 950 °C the most optimal mixture were obtained by using a granulometry of 63–125 µm for jarosite and less than 63 µm for BFS, while the local maximum of mechanical performance was obtained for a 30% starch retrogradation level.
Graphical Abstract
Fused granulate fabrication of injection molding inserts from high-performance ULTEM 9085™ thermoplastic for cosmetic packaging industry
Authors: Curmi Albert , Rochman Arif 
Published: May 2024

AbstractRTIM refers to the integration of rapid tooling (RT) using additive manufacturing (AM) with injection molding (IM). Due to the use of raw material (pellet), screw extrusion, fused granulate fabrication (FGF) allows for a cost-effective and versatile production of RTIM inserts especially compared to other material extrusion (MEX) AM processes, such as fused filament fabrication (FFF). This study 3D printed RTIM inserts out of high-performance thermoplastic polyetherimide (PEI) (ULTEM 9085) in granular form, using an in-house developed FGF system. A cosmetic compact was used as a case study part with a simplified design. A dynamic mechanical analysis (DMA) conducted on FGF ULTEM 9085 demonstrated that the strength of the inserts is sustained up to 140 °C, which suits injection molding using polypropylene (PP). Optical profilometry of the FGF 3D printed RTIM inserts demonstrated that when using a 0.4 mm nozzle, the flat surfaces produced had microscopic gaps larger than 10–1 mm. These gaps are sufficiently large so that melt of low viscosity polymer is able to flow through, which leads to undesired part flash. The IM experiments confirmed that the inserts were capable of producing PP parts but with the predicted flash. Simulated part deflection differed both on geometry and magnitude from the actual deflection measured by optical profilometry. A total of 36 prototype parts were produced before the inserts failed due to poor inter-layer bond strength. FGF RTIM using ULTEM 9085 is deemed suitable for prototype part production. Improving the inter-layer bond strength and decreasing part complexity could increase the number of parts produced.
A harmonic property of right invariant priors
Authors: Sei Tomonari , Komaki Fumiyasu 
Published: May 2024

AbstractIt is shown that, on any Lie group, the density ratio of the right invariant measure to the left invariant measure is harmonic with respect to the left invariant Riemannian metric. This result is applied to the Bayesian prediction theory on group invariant statistical models. A method of constructing Bayesian prior distributions that asymptotically dominate the right invariant priors is provided.
A solution to the only one object problem with dissolution rules
Authors: Caselmann Julien , Orellana-Martín David 
Published: May 2024

AbstractIn the framework of membrane computing, (non-)uniform families of recognizer membrane systems are usually defined to solve abstract decision problems. In this sense, the use of finite resources for each member of the family makes the difference with respect to Turing machines solving these problems. While keeping the finite nature of these systems, it is interesting to know which type of problems can be solved by means of a single membrane system. For this purpose, the complexity class $$\textbf{PMC}^{1p}_{\mathcal {R}}$$

PMC
R

1
p

was defined as the class of problems that can be solved by means of a single membrane system in polynomial time. Due to the polynomial-time encoding of the input, at least all the problems from P can be solved with a trivial system. To go below P, the class $$\textbf{PMC}^{1f}_{\mathcal {R}}$$

PMC
R

1
f

restricts the definition of this encoding. In this work, we study the capability of different types of membrane systems to solve the problem, while having the encoding restriction.
Potential enhancements in the photocatalytic activity of the anatase 001 surface by adding cerium impurity
Authors: Jiménez Gladys Casiano , Alcalá Varilla Luis A. , Torres Hoyos Francisco 
Published: May 2024

AbstractThis research investigates the structural and electronic properties of titanium dioxide ($$ TiO_2 $$

T
i

O
2

) surfaces with the addition of cerium (Ce) impurities using first principles calculations within the framework of density functional theory, employing the pseudopotential method and the computational package Quantum ESPRESSO. Density of states (DOS) calculations reveal that the clean surface exhibits semiconductor behavior. In contrast, the titanium dioxide surface with Ce impurities on the fifth layer generates intermediate states within the energy band gap, resulting in a reduction in the band, with an intraband energy gap of 0.7882 eV induced. Moreover, the inclusion of a Ce atom on the fourth layer of the surface results it is observed that the surface an important characteristic is the appearance of intermediate states in the band gap, which are close to the valence band with a magnetic moment of 0.91 $$ \mu \beta /cell $$

μ
β
/
c
e
l
l

. The ntraband gap can enhance the utilization of the visible spectrum. Additionally, the Ce impurity on the $$ TiO_2 $$

T
i

O
2

surface could promote greater photocatalytic activity in pollutant degradation and increase the oxidative capacity of titanium dioxide.
Engagement of modified heat and mass fluxes on thermally radiated boundary layer flow past over a stretched sheet via OHAM analysis
Authors: Sohail Muhammad , Rafique Esha , Singh Abha , Tulu Ayele 
Published: May 2024

AbstractThis work investigates advanced heat transfer mechanisms in boundary-layer flow of nanofluids over a stretchable sheet. The comprehensive model integrates radiation effects, Brownian motion, thermophoresis, Cattaneo-Christov heat flux and Magnetohydrodynamics (MHD). Nanofluids, composed of a base fluid with suspended nanoparticles, exhibit distinct thermophysical properties crucial for influencing heat and mass transfer dynamics. Through rigorous numerical analysis, key parameters such as nanoparticle volume fraction, stretching sheet velocity, Cattaneo-Christov parameter, radiation parameter, and magnetic field strength are examined. The findings reveal intricate interactions among these parameters, providing a thorough understanding of their combined impact on temperature and velocity characteristics inside the boundary layer. This research contributes significantly to fundamental knowledge in nanofluid dynamics and provides practical insights for optimizing heat transfer processes and fluid behavior over-stretching surfaces, especially in the context of advanced heat transfer mechanisms. The implications extend across diverse engineering disciplines and materials science, offering valuable guidance for designing and improving processes involving nanofluid flows over-stretching sheets. With respect to the magnetic field parameter, the fluid velocity exhibits a decreasing attitude.The temperature function enhances with higher $$\mathcal{R}$$
R
values but diminishes with increasing $$\mathcal{P}\mathcalligra{r}$$

P
r

values.
Discontinuation of brace treatment in adolescent idiopathic scoliosis (AIS): a scoping review
Authors: Swaby Lizzie , Cui Mengwei , Cole Ashley 
Published: May 2024

Abstract
Purpose
Brace treatment for adolescent idiopathic scoliosis (AIS) is usually prescribed for 20–40° curves in patients with growth potential. The aim is to reduce the risk of curve progression during growth and to avoid the curve reaching a surgical threshold. Having as small a curve as possible at skeletal maturity will reduce the risk of curve progression during adult life. While evidence exists for brace treatment in AIS, there is disagreement on how and when to discontinue bracing. The purpose of this review was to investigate what criteria have been reported for initiating brace cessation and published weaning protocols and to look at estimates of the number of patients that may progress > 5 degrees after the end of growth.

Methods
This scoping review summarizes existing knowledge on the best time to stop bracing in AIS patients, how to “wean,” and what happens to spinal curves after bracing. Searches were carried out through MEDLINE, EMBASE, and PsycINFO in April 2022. A total of 1936 articles were reduced to 43 by 3 reviewers. Full papers were obtained, and data were extracted.

Results
Weaning was most commonly determined by Risser 4 (girls) and 5 (boys). Other requirements included 2 years post-menarche and no growth in standing/sitting height for 6 months. Skeletal maturity assessed from hand and wrist radiographs, e.g., Sanders’ stage; distal radius and ulnar physes, could determine the optimal weaning time to minimize curve progression. Complete discontinuation was the most common option at skeletal maturity; variations on weaning protocols involved gradual reduction of bracing over 6–12 months. Curve progression after weaning is common. The 12 studies reporting early curve progression after brace weaning found a mean Cobb angle progression of 3.8° (n = 1655). From the seven studies reporting early curve progression by > 5 degrees, there were 236/700 (34%) patients. There is limited information on risk factors to predict early curve progression after finishing brace treatment with larger curves, especially those over 40 degrees possibly having more chance of progression.

Conclusion
Curve progression after bracing cessation is a negative outcome for patients who have tolerated bracing for several years, especially if surgery is required. The literature shows that when to start brace cessation and weaning protocols vary. Approximately 34% of patients progressed by more than 5 degrees at 2–4 years after brace cessation or weaning. Larger curves seem more likely to progress. More research is needed to evaluate the risk factors for curve progression after brace treatment, defining the best time to stop bracing based on the lowest risk of curve progression and whether there is any benefit to weaning.
Friction welding of UFG copper using the W2Mi prototype machine
Authors: Morawiński Łukasz , Jasiński Cezary , Goliński Jacek , Chmielewski Tomasz M. 
Published: May 2024

AbstractWhen welding ultra-fine-grained metals using conventional methods, the microstructure in the joint area is degraded (mainly due to recrystallization) in the heat-affected zone and a significant deterioration of mechanical properties, including joint strength. The aim of the research presented in this article was to identify the possibility of obtaining joints with strength close to initial material using friction welding of metal materials with ultra-fine grain. For this purpose, UFG (ultra-fine-grained) material was produced from technically pure M1Ez4 copper using a hybrid SPD (severe plastic deformation) process. The welding process was carried out on a machine with a prototype design that allows minimizing the welding time, while generating high force. The process parameters used on the prototype machine resulted in an increase in the hardness of the material by 4% in the joint area. The strength of the joint compared to the base material decreased slightly by 2%. The tests carried out proved that, using appropriate process parameters, it is possible to obtain a UFG metal joint without a decrease in its mechanical strength.
Low expectations within conservative wing of discourse coalition for innovation and technoscience: integrating vanguard visions to therapeutic consent
Authors: Altinok Ozan Altan 
Published: May 2024

AbstractDrawing on the sociology of expectations, this paper inquires what objects, promises, and audiences are invoked in two examples of biotechnology discourse on organoids, MCELS (Multicellular Engineered Living Systems) in the USA and REBIRTH (From REgenerative BIology to Reconstructive THerapy) in Germany, and how that affects therapeutic consent. Therapeutic consent discussion in the literature has been focusing on singular discourse on the objects of biotechnology. This paper focuses on making of organoids embedded in two very large research projects of biotechnology in two comparative cases to fill the gap between cultures of imaginations and discourses. The paper claims that (a) both projects are connected through shared objects within vanguard visions joined through a discourse coalition. The discourse coalitions that are making them further can be connected at the object level both by the low expectations and the techno-scientific imaginaries that are more relevant to public imagination by nested frameworks of vanguard visions and sociotechnical imaginaries. This connection is necessary for the object to be considered within the research and development of the object, whereas when the research programme is finished and the object itself is delivered, the low expectation and the calibration thereafter is dependent on this network (b) When the object [organoid] itself is a research object and a part of a discourse coalition is and an applied healthcare object at the same time, lowering of expectations and recalibration of the higher expectations are necessary for debates around consent as enabling conditions of consent in the very first place.