bluuebunny/crossref_metadata_2025_split huggingface dataset:
Curcumin loaded as prepared electrospun titania nanofibers for post breast cancer surgeries
Authors: Shaban Shaimaa , Elsaeid Aziza A. , Ekram Basma , Omar Areg E. , Gad Abdul Aziz M. , Abd El-Hady Bothaina M. 
Published: December 2023

AbstractIn the present study, curcumin-loaded titania nanofibers were synthesized by the conventional sol-gel method via the electrospinning technique using polyvinyl pyrrolidone and characterized via SEM, FTIR, and XRD. Moreover, their contact angle measurement, degradability, water uptake, and mechanical strength were investigated, besides their antibacterial activity, antioxidant activity, sustained drug release, and cytotoxicity against normal cells and breast cancer cell lines. It can be observed that as the concentration of curcumin increased, the mechanical characteristics of the samples were enhanced. The antibacterial results declared that the increase in curcumin concentration enhanced the inhibitory effect against the different pathogens. Moreover, the viability of cells of the normal cell line, seeded on the samples was in the range from 61.4 to 86.5% which indicated its safety on normal cells. However, the cell viability on the cancerous cell line was found to be 33.8, 19.7, 17.9 and 0% for 0, 1, 3, and 5% loaded TiO2/PVP respectively. This lethal effect of the prepared mats on breast cancer cells with nearly no cytotoxic effect on normal cells, favors the usage of the prepared 5% curcumin-loaded TiO2/PVP mat as anticancerous wound healing bandages for postoperative breast cancer surgeries.
Graphical Abstract
La separación de los esposos vista por la mujer en la literatura caballeresca germánica y romance de la Edad Media: un análisis comparado
Authors: Ayerbe Linares Miguel 
Published: December 2023

AbstractMarriage and the relationship between husband and wife in medieval literature have often been analyzed from many different points of view. However, there is an aspect which remains unexplored and this is the analysis from a discursive perspective of the conversation between the knight and his lady before he departs in search of adventures, war or whatever other reason. This study aims to verify if there is any kind of coincidence or similarity in the arguments used by the lady in different texts, when she tries to stop her husband from leaving. Therefore, in the present study conversations concerning the departing of a knight from his lady shall be analyzed in Icelandic, German, French, Catalan and Spanish chivalric texts of the Middle Ages, taking into account the consequences of the knight’s departure for the lady, for the knight and for the marriage bond itself. A detailed analysis of the lady’s arguments intending to keep the knight by her side seems to lead to a hypothesis concerning the existence of similar arguments across literary texts in different languages.
Connexive Logic, Connexivity, and Connexivism: Remarks on Terminology
Authors: Wansing Heinrich , Omori Hitoshi 
Published: December 2023

AbstractOver the past ten years, the community researching connexive logics is rapidly growing and a number of papers have been published. However, when it comes to the terminology used in connexive logic, it seems to be not without problems. In this introduction, we aim at making a contribution towards both unifying and reducing the terminology. We hope that this can help making it easier to survey and access the field from outside the community of connexive logicians. Along the way, we will make clear the context to which the papers in this special issue onFrontiers of Connexive Logicbelong and contribute.
Quineanism, Noneism and Metaphysical Equivalence
Authors: Jacinto Bruno , Belastegui Javier 
Published: December 2023

AbstractIn this paper we propose and defend the Synonymy account, a novel account of metaphysical equivalence which draws on the idea (Rayo in The Construction of Logical Space, Oxford University Press, Oxford, 2013) that part of what it is to formulate a theory is to lay down a theoretical hypothesis concerning logical space. Roughly, two theories are synonymous—and so, in our view, equivalent—just in case (i) they take the same propositions to stand in the same entailment relations, and (ii) they are committed to the truth of the same propositions. Furthermore, we put our proposal to work by showing that it affords a better and more nuanced understanding of the debate between Quineans and noneists. Finally we show how the Synonymy account fares better than some of its competitors, specifically, McSweeney’s (Philosophical Perspectives 30(1):270–293, 2016) epistemic account and Miller’s (Philosophical Quarterly 67(269):772–793, 2017) hyperintensional account.
Learning-based keypoint registration for fetoscopic mosaicking
Authors: Casella Alessandro , Bano Sophia , Vasconcelos Francisco , David Anna L. , Paladini Dario , Deprest Jan , De Momi Elena , Mattos Leonardo S. , Moccia Sara , Stoyanov Danail 
Published: December 2023

Abstract
Purpose
In twin-to-twin transfusion syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current practice, TTTS is treated surgically by closing abnormal anastomoses using laser ablation. This surgery is minimally invasive and relies on fetoscopy. Limited field of view makes anastomosis identification a challenging task for the surgeon.

Methods
To tackle this challenge, we propose a learning-based framework for in vivo fetoscopy frame registration for field-of-view expansion. The novelties of this framework rely on a learning-based keypoint proposal network and an encoding strategy to filter (i) irrelevant keypoints based on fetoscopic semantic image segmentation and (ii) inconsistent homographies.

Results
We validate our framework on a dataset of six intraoperative sequences from six TTTS surgeries from six different women against the most recent state-of-the-art algorithm, which relies on the segmentation of placenta vessels.

Conclusion
The proposed framework achieves higher performance compared to the state of the art, paving the way for robust mosaicking to provide surgeons with context awareness during TTTS surgery.
In Vitro and In Vivo Antileishmanial Activity of Thioridazine
Authors: Sifontes-Rodríguez Sergio , Mollineda-Diogo Niurka , Monzote-Fidalgo Lianet , Escalona-Montaño Alma Reyna , Escario García-Trevijano José Antonio , Aguirre-García María Magdalena , Meneses-Marcel Alfredo 
Published: December 2023

Abstract
Introduction
Leishmaniasis is a neglected disease with high prevalence and incidence in tropical and subtropical areas. Existing drugs are limited due to cost, toxicity, declining efficacy and unavailability in endemic places. Drug repurposing has established as an efficient way for the discovery of drugs for a variety of diseases.

Purpose
The objective of the present work was testing the antileishmanial activity of thioridazine, an antipsychotic agent with demonstrated effect against other intracellular pathogens.

Methods
The cytotoxicity for mouse peritoneal macrophages as well as the activity against Leishmania amazonensis, Leishmania mexicana and Leishmania major promastigotes and intracellular amastigotes, as well as in a mouse model of cutaneous leishmaniasis, were assessed.

Results
Thioridazine inhibited the in vitro proliferation of promastigotes (50% inhibitory concentration—IC50—values in the range of 0.73 µM to 3.8 µM against L. amazonensis, L. mexicana and L. major) and intracellular amastigotes (IC50 values of 1.27 µM to 4.4 µM for the same species). In contrast, in mouse peritoneal macrophages, the 50% cytotoxic concentration was 24.0 ± 1.89 µM. Thioridazine inhibited the growth of cutaneous lesions and reduced the number of parasites in the infected tissue of mice. The dose of thioridazine that inhibited lesion development by 50% compared to controls was 23.3 ± 3.1 mg/kg and in terms of parasite load, it was 11.1 ± 0.97 mg/kg.

Conclusions
Thioridazine was effective against the promastigote and intracellular amastigote stages of three Leishmania species and in a mouse model of cutaneous leishmaniasis, supporting the potential repurposing of this drug as an antileishmanial agent.
Cauchy Formulae and Hardy Spaces in Discrete Octonionic Analysis
Authors: Kraußhar Rolf Sören , Legatiuk Dmitrii 
Published: December 2023

AbstractIn this paper, we continue the development of a fundament of discrete octonionic analysis that is associated to the discrete first order Cauchy–Riemann operator acting on octonions. In particular, we establish a discrete octonionic version of the Borel–Pompeiu formula and of Cauchy’s integral formula. The latter then is exploited to introduce a discrete monogenic octonionic Cauchy transform. This tool in hand allows us to introduce discrete octonionic Hardy spaces for upper and lower half-space together with Plemelj projection formulae.
Validation of prognostic and predictive value of total tumoral load after primary systemic therapy in breast cancer using OSNA assay
Authors: Bernet-Vegué Laia , Cantero-González Carolina , Sancho de Salas Magdalena , Parada David , Perin Tiziana , Quintero-Niño Zulma , Vieites Pérez-Quintela Begoña , Sánchez-Guzmán Douglas , Castelvetere Marina , Hardisson Hernaez David , Martín-Salvago María Dolores 
Published: December 2023

Abstract
Purpose
This study aimed to validate the classification of breast cancer (BC) patients in progression risk groups based on total tumor load (TTL) value to predict lymph node (LN) affectation after neo-adjuvant systemic therapy (NAST) obtained in the NEOVATTL study.

Methods/patients
This was an observational, retrospective, international, multicenter study including patients with infiltrating BC who received NAST followed by sentinel lymph node biopsy (SLNB) analyzed with one-step nucleic acid amplification (OSNA) from nine Spanish and two Italian hospitals. Patients were classified into three groups according to the progression risk, measured as disease-free survival (DFS), based on TTL values (> 250, 250–25,000, and > 25,000 copies/μL). The previous (NEOVATTL study) Cox regression model for prognosis was validated using prognostic index (PI) and Log ratio test (LRT) analyses; the value of TTL for axillary non-SLN affectation was assessed using receiver operating characteristic (ROC) curves.

Results
We included 263 patients with a mean age of 51.4 (± SD 10.5) years. Patients with TTL > 25,000 copies/μL had a shorter DFS (HR 3.561 [95% CI 1.693−7.489], p = 0.0008 vs. TTL ≤ 25,000). PI and LRT analyses showed no differences between the two cohorts (p = 0.2553 and p = 0.226, respectively). ROC analysis showed concordance between TTL and non-SLN involvement (area under the curve 0.828), with 95.7% sensitivity and 92.9% specificity at a TTL cut-off of > 15,000 copies/μL.

Conclusions
In BC patients who had received NAST and underwent SLNB analysis using OSNA, a TTL value of > 25,000 copies/μL was associated with a higher progression risk and > 15,000 copies/μL was predictive of non-SLN involvement.
Adrenocorticotropic hormone combined with magnesium sulfate therapy for infantile epileptic spasms syndrome: a real-world study
Authors: He Wen , Wang Qiu-Hong , Li Jiu-Wei , Wang Yang-Yang , Luo Xiao-Mei , Wan Lin , Wang Jing , Shi Xiu-Yu , Zhang Wei-Hua , Fang Fang , Zou Li-Ping 
Published: December 2023

Abstract
Background
Infantile epileptic spasms syndrome (IESS) is a serious disease in infants, and it usually evolves to other epilepsy types or syndromes, especially refractory or super-refractory focal epilepsies. Although adrenocorticotropic hormone (ACTH) is one of the first-line and effective treatment plans for IESS, it has serious side effects and is not sufficiently effective.

Methods
A retrospective study of the clinical outcomes of ACTH combined with magnesium sulfate (MgSO4) therapy for IESS in two hospital centers was conducted. The major outcome of the single and combined treatment was evaluated by changes in seizure frequency and improvements in hypsarrhythmia electroencephalography (EEG). To reduce the confounding bias between the two groups, we used SPSS for the propensity score matching (PSM) analysis.

Results
We initially recruited 1205 IESS patients from two Chinese hospitals and treated them with ACTH combined with MgSO4 and ACTH alone. Only 1005 patients were enrolled in the treatment (ACTH combined with MgSO4: 744, ACTH: 261), and both treatment plans had a more than 55% response rate. However, compared to patients treated with ACTH alone, those patients treated with ACTH combined with MgSO4 had better performance in terms of the seizure frequency and hypsarrhythmia EEG. After PSM, the two groups also showed significant differences in responder rate [70.8% (95% confidence interval, CI) = 66.7%–74.8%) vs. 53.8% (95% CI = 47.4%–60.2%), P < 0.001], seizure frequency (P < 0.001) and hypsarrhythmia EEG resolution (P < 0.001). Notably, multivariate analysis revealed that the lead time to treatment and the number of antiseizure medications taken before treatment were two factors that may affect the clinical outcome. Patients with less than 3 months of lead time responded to the treatment much better than those with > 3 months (P < 0.05). In addition, the overall incidence of adverse reactions in the ACTH combined with MgSO4 group was much lower than that in the ACTH group (31.4% vs. 63.1%, P < 0.001). During the treatment, only infection (P = 0.045) and hypertension (P = 0.025) were significantly different between the two groups, and no baby died.

Conclusion
Our findings support that ACTH combined with MgSO4 is a more effective short-term treatment protocol for patients with IESS than ACTH alone, especially for those patients with short lead times to treatment.
Epidemiology of congenital diaphragmatic hernia among 24 million Chinese births: a hospital-based surveillance study
Authors: Chen Zhi-Yu , Tao Jing , Xu Wen-Li , Gao Yu-Yang , Li Wen-Yan , Liu Zhen , Zhou Jia-Yuan , Dai Li 
Published: December 2023

Abstract
Background
The prevalence of congenital diaphragmatic hernia (CDH) varies across countries, with limited information available on its epidemiology in China. Our study aimed to investigate the prevalence, time trends, and perinatal outcomes of CDH in China, as well as its associated malformations and potential associations with maternal and infant characteristics.

Methods
This study included all birth and CDH cases from the Chinese Birth Defects Monitoring Network between 2007 and 2019, with CDH cases classified as either isolated or associated. We employed the joinpoint regression model to calculate the trends of prevalence and the annual percent change, with Poisson regression used for adjusted prevalence rate ratios. A P value ≤ 0.05 was considered statistically significant.

Results
A total of 4397 CDH cases were identified among 24,158,029 births in the study period, yielding prevalence rates of 1.82, 1.13 and 0.69 per 10,000 for overall, isolated, and associated CDH, respectively. The prevalence of each type of CDH increased over time. The prevalence of overall CDH varied significantly by infant sex (male vs. female, 1.91/10,000 vs. 1.63/10,000), maternal residence (urban vs. rural, 2.13/10,000 vs. 1.45/10,000), maternal age (< 20 years, 1.31/10,000; 20–24 years, 1.63/10,000; 25–29 years, 1.80/10,000; 30–34 years, 1.87/10,000; ≥ 35 years, 2.22/10,000), and geographic region (central, 1.64/10,000; east, 2.45/10,000; west, 1.37/10,000). Cardiovascular anomalies were the most common malformations associated with CDH. Infants with associated CDH had a higher risk of premature birth and perinatal death than those with isolated CDH.

Conclusion
The increasing prevalence and high perinatal mortality rate of CDH highlight the need for further etiological, epidemiological, and clinical studies among the Chinese population.
Identification of challenging gas-bearing reservoir based on machine learning (ML) and computed conversion-based AVO analysis: a study from Jaisalmer Sub-basin, India
Authors: Pradhan Nabanita , Datta Gupta Saurabh 
Published: December 2023

AbstractAmplitude variation with offset (AVO) analysis is an important tool for identifying natural gas-bearing reservoirs. The changes in seismic amplitudes based on the variation of density and velocity of the rock matrix are captured through the AVO analysis. The current work was performed in the Ghotaru region of the Jaisalmer Sub-basin area, where limited and discrete hydrocarbon discoveries were observed from the Lower Goru Formation during the earlier various exploration campaigns. The discrete nature of the reservoir lithofacies developed challenging scenarios for the successful exploratory campaign. The campaign encountered more difficulties because of limited advanced datasets, which affected the study to capture the extension of hydrocarbon-bearing reservoir lithofacies and its characterization towards a successful exploration campaign. This study shows the way to overcome these challenges using an existing conventional dataset. The study shows the possibility of AVO analysis using a post-stack seismic dataset. A unique conversion method from post-stack to pre-stack seismic is introduced in this study based on the uses of the integrated velocity model. An integrated, robust velocity model was developed with consideration of anisotropy factors. Introducing a machine learning-based algorithm in the petrophysical study, including the conventional approach, provides a robust validation of this work. Intercept (A) and gradient (B) are the basic outcome of AVO analysis. The well-based study and AVO analysis based on intercept (A) and gradient (B) complement each other for finding hydrocarbon-bearing reservoir rock. Cross-plots and AVO analysis show the reservoir's lithofacies extension and fluids. The study reveals the potential of natural gas retained in the Lower Goru Formation, which is composed of patchy sandstone. Two AVO classes (Class I and Class III) of gas-bearing sandstone have been identified in this study. This study presents a unique method for identifying natural gas reservoirs with limited old conventional data.
Precarious livelihoods at the intersection of fishing and sand mining in Cambodia
Authors: Asif Furqan , Van Arragon Lukas 
Published: December 2023

AbstractFishing and sand mining in Cambodia may not appear to have much in common. However, digging deeper reveals important parallels. Both fishing and sand mining support livelihoods and are connected to a limited natural resource. Meanwhile, they are both typified by precarious livelihoods, on the one hand, and overexploitation, on the other. In bringing these two topics together, the paper combines empirical qualitative research from two separate studies conducted by the co-authors in Cambodia, one in coastal fishing villages and another in the sand mining industry along the Mekong River. We argue that the interplay between fishing and sand mining has paradoxical impacts on livelihoods, supporting one group while undermining another. Using a precarity analysis lens, we show how an unconventional, and largely invisible frontier of natural resource exploitation—sand mining—is intertwined with fisheries, and expands our understanding of the relationship between precarious labour, environmental change, and livelihoods.
Microstructure and adhesion force of dust on soil pavement in open-pit mine
Authors: Wang Jiuzhu , Du Cuifeng , Wang Yuan , Chen Zheng 
Published: December 2023

AbstractThe microstructure and adhesion force between dust particles determine the dust starting and migration to a certain extent. By use of scanning electron microscopy, the BET method, and the abruption technique, the microstructure and adhesion force of dust on the soil pavement of an open-pit mine were examined. The results indicate that the dust shape of soil pavement is mainly irregular quadrilateral, pentagonal and circular. The adhesion of dust particles in soil pavement reduces as particle size and temperature increase. When the particle size grows from 22 to 30 μm and the ambient temperature rises from 25 to 30 ℃, the adhesion force of dust particles in soil pavement drops dramatically. The adhesion force of dust particles in the soil pavement of open-pit mine increases as environmental humidity and pressure rise. When the environmental humidity exceeds 70% and pressure exceeds 24.79 kPa, the adhesion of dust particles increases dramatically. On the basis of the multiple regression method, a prediction model for the dust adhesion force of open-pit mines’ soil pavement has been developed. However, its accuracy needs to be further enhanced.
Dynamic WAAM: adaptive processes for equivalent contact surface (ECS) optimization
Authors: Kerber Ethan , Fahrendholz Jan Luca , Brell-Cokcan Sigrid , Dewald Peter , Sharma Rahul , Reisgen Uwe 
Published: December 2023

AbstractWire arc additive manufacturing (WAAM) integrates benefits of automation and mass customization to improve efficiency through near-net part production. While WAAM is well researched, there remain significant challenges as the complex relationship between robot, welder, and process parameters can lead to inaccuracy in geometry and variations in material properties. This research proposes a novel framework for quantifying the WAAM process and proposes dynamic adaptive strategies for improving production. This paper introduces the concept of an equivalent contact surface (ECS) for quantifying the additive welding process. Adaptive methods are then identified to optimize WAAM production. In conclusion, this paper provides an outlook on future research directions for continuing the development of this dynamic WAAM process.
Development of machine-learning-based models for identifying the sources of nitrate and fluoride in groundwater and predicting their human health risks
Authors: Mohammed M. A. A. , Mohamed A. , Szabó N. P. , Szűcs P. 
Published: December 2023

AbstractThis research aimed to identify the main sources of groundwater pollution and assess the non-carcinogenic human health risk resulting from nitrate and fluoride contamination. These goals were achieved by employing unsupervised and supervised machine algorithms, including principal component analysis (PCA) and multilayer perceptron artificial neural networks (MLP-ANN). Thirty-seven groundwater samples were analyzed for twelve physical and chemical parameters, including pH, EC, TDS, TH, Cl, F, SO4, NO3, Ca, Mg, Na, and HCO3, and the initial investigation indicated that except for Cl, F, Ca, and Mg, all the parameters are above the guidelines of the World Health Organization (WHO). PCA indicated that mineral dissolution is the main source of F, while high NO3 concentration primarily resulted from agricultural operation due to extensive use of nitrogen and calcium-based fertilizers. Consequently, the non-carcinogenic human health risk (HHR) for children and adults is evaluated based on NO3 and F. The conventional approach for assessing HHR is time-consuming and often associated with errors in calculating hazard quotients (HQ) and hazard indices (HI). In this research, MLP-ANN is suggested to overcome these limitations. In the MLP-ANN modeling, the data were divided into two parts training (80%) and validation (20%), with NO3 and F concentration as inputs and HQ and HI as outputs. The performance of the resulting models was tested using root mean square error (RMSE) and coefficient of determination (R2). The model provided a satisfactory result with a maximum RMSE of 4% and R2 higher than 97% for training and validation. As a result, obtained HIs suggested that 97.3% of the groundwater samples in the study area are suitable for human consumption. The non-carcinogenic HHR is successfully assessed using machine learning algorithms, and the results have led to the conclusion that this approach is highly recommended for effectively managing groundwater resources.