bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study of form factors in relativistic mixed-flux AdS3
Authors: Torrielli Alessandro 
Published: March 2024

Abstract
We study the two-particle form-factors for the relativistic limit of the integrable S-matrix of the mixed-flux AdS3 × S3 × T4 string theory. The S-matrix theory was formally constructed in two distinct ways by two different teams. We focus on the massive theory built up by Frolov, Polvara and Sfondrini, and derive expressions for the minimal solutions to the axioms, in both integral and manifestly meromorphic form, and then proceed to apply the off-shell Bethe ansatz method of Babujian et al. We obtain the integral formulas for the two-particle complete form-factors and check the axioms at this particle number.
Identifying and Understanding Historical Scientific Instruments: The Case of the Physics Cabinet of the University of Bologna
Authors: Rigotti Laura , Bertozzi Eugenio 
Published: March 2024

AbstractThis paper reconstructs the process of identification and understanding of an ensemble of historic physics instruments carried out between 2021 and 2022 at the Department of Physics and Astronomy “Augusto Righi” of the University of Bologna. The ensemble of 244 instruments is part of the Collection of Physics of the University and corresponds to the main core of the nineteenth-century Cabinet of Physics of the University of Bologna. After a brief recollection of the complex history of the cabinet the paper brings into light the different aspects involved in the identification and understanding of a scientific instrument. The various challenges concern the use of the resources available, the role of the experts, the study in situ and the use of original archive sources. In addition, a contextualization of the present study in the current literature on material culture studies and history of scientific instruments will bring to light the importance of the analysis of historical and trade catalogues, both for retracing the trajectories of a specific artefact and for the study of its relationships with users, donors, collectors, previous owners, and other objects.
Assessment and validation of glottic motion using cone-beam CT and real-time cine MRI
Authors: Chun Seok-Joo , Son Jaeman , Kang Seonghee , Choi Chang Heon , Kim Jung-in , Kim Young-Il , Lee Joo Ho , Kim Jin Ho , Wu Hong-Gyun 
Published: March 2024

Abstract
Purpose
This study aimed to assess the margin for the planning target volume (PTV) using the Van Herk formula. We then validated the proposed margin by real-time magnetic resonance imaging (MRI).

Methods
An analysis of cone-beam computed tomography (CBCT) data from early glottic cancer patients was performed to evaluate organ motion. Deformed clinical target volumes (CTV) after rigid registration were acquired using the Velocity program (Varian Medical Systems, Palo Alto, CA, USA). Systematic (Σ) and random errors (σ) were evaluated. The margin for the PTV was defined as 2.5 Σ + 0.7 σ according to the Van Herk formula. To validate this margin, we accrued healthy volunteers. Sagittal real-time cine MRI was conducted using the ViewRay system (ViewRay Inc., Oakwood Village, OH, USA). Within the obtained sagittal images, the vocal cord was delineated. The movement of the vocal cord was summed up and considered as the internal target volume (ITV). We then assessed the degree of overlap between the ITV and the PTV (vocal cord plus margins) by calculating the volume overlap ratio, represented as (ITV∩PTV)/ITV.

Results
CBCTs of 17 early glottic patients were analyzed. Σ and σ were 0.55 and 0.57 for left–right (LR), 0.70 and 0.60 for anterior–posterior (AP), and 1.84 and 1.04 for superior–inferior (SI), respectively. The calculated margin was 1.8 mm (LR), 2.2 mm (AP), and 5.3 mm (SI). Four healthy volunteers participated for validation. A margin of 3 mm (AP) and 5 mm (SI) was applied to the vocal cord as the PTV. The average volume overlap ratio between ITV and PTV was 0.92 (range 0.85–0.99) without swallowing and 0.77 (range 0.70–0.88) with swallowing.

Conclusion
By evaluating organ motion by using CBCT, the margin was 1.8 (LR), 2.2 (AP), and 5.3 mm (SI). The margin acquired using CBCT fitted well in real-time cine MRI. Given that swallowing during radiotherapy can result in a substantial displacement, it is crucial to consider strategies aimed at minimizing swallowing and related motion.
Evaluation of effects of curcumin on acute esophagitis in the corrosive esophagitis model in rats
Authors: Gurlek Ismail K. , Muderrisoglu Ahmet , Er Zafer C. , Arici Akgul , Kupeli Mustafa 
Published: March 2024

AbstractIngestion of a corrosive substance may cause corrosive esophagitis. Curcumin has anti-inflammatory and mucosal protective effects. In this study, the effects of curcumin on the acute phase of corrosive esophagitis were investigated. Twenty-seven Wistar Albino rats were divided into four groups; sham (group I), control (group II), and experiment groups (group III, 100 mg/kg curcumin; group IV, 200 mg/kg curcumin). Forty percent sodium hydroxide solution was used to erode the esophagi of rats in groups other than the sham group. Curcumin was applied to animals in the experiment groups 10 min after the corrosion. After 24 h, animals were sacrificed, and esophagus samples were collected. According to the histopathological examination, the muscularis mucosa damage was regressed from 100% in group II to 71.4% in group III and 50% in group IV. Mild level of damage and collagen deposition in the tunica muscularis regressed from 66.7% of the animals in the control group to 42.9% in group III and to none in group IV. Further, an increase in submucosal collagen was present in all samples from groups II and III, while 83.3% of samples had an increase in submucosal collagen in group IV. There was a significant difference in the histopathological total score between the control group and group IV (p=0.02). The results showed that the administration of curcumin in a dose-dependent manner can relieve the acute phase of corrosive esophagitis.
Fermented and unfermented brown macroalgae as partial salt replacers in sodium-reduced dough and bread
Authors: Tyl Catrin , Koga Shiori , Krook Johanna Liberg , Andersen Martine , Tomasco Paula Varela , Skaret Josefine , Rieder Anne 
Published: March 2024

AbstractBread can be a major contributor to sodium intake, but sodium chloride reduction poses difficulties since it influences the functional properties of dough and flavor of bread. This study evaluated dough and bread properties in reduced-sodium systems containing fermented or unfermented macroalgae Saccharina latissima or Alaria esculenta. Recipes contained equal amounts of sodium (4 mg Na+/g flour), where sodium chloride contributed 3 or 3.5 mg Na+/g flour and 8.9–33.3 mg macroalgae/g flour contributed the remaining 0.5 or 1 mg Na+/g flour. A full-salt and three salt-reduced controls (6, 4, 3.5, and 3 mg Na+/g flour) were used for comparison. Empirical dough rheology, stickiness, ratios of polymeric to monomeric proteins, and bread characteristics (specific volume, crumb structure, and firmness) were measured. A trained sensory panel conducted a descriptive sensory analysis. Macroalgae addition increased water absorption and decreased dough development time, dough stability, the polymeric to monomeric protein ratio, and specific volume in a dose-dependent manner. Macroalgae addition increased the perception of saltiness, but also algae flavor and odor. Bread with fermented S. latissima received lower scores for certain undesirable sensory attributes than other bread with algae.
GC Content Across Insect Genomes: Phylogenetic Patterns, Causes and Consequences
Authors: Kyriacou Riccardo G. , Mulhair Peter O. , Holland Peter W. H. 
Published: March 2024

AbstractThe proportions of A:T and G:C nucleotide pairs are often unequal and can vary greatly between animal species and along chromosomes. The causes and consequences of this variation are incompletely understood. The recent release of high-quality genome sequences from the Darwin Tree of Life and other large-scale genome projects provides an opportunity for GC heterogeneity to be compared across a large number of insect species. Here we analyse GC content along chromosomes, and within protein-coding genes and codons, of 150 insect species from four holometabolous orders: Coleoptera, Diptera, Hymenoptera, and Lepidoptera. We find that protein-coding sequences have higher GC content than the genome average, and that Lepidoptera generally have higher GC content than the other three insect orders examined. GC content is higher in small chromosomes in most Lepidoptera species, but this pattern is less consistent in other orders. GC content also increases towards subtelomeric regions within protein-coding genes in Diptera, Coleoptera and Lepidoptera. Two species of Diptera, Bombylius major and B. discolor, have very atypical genomes with ubiquitous increase in AT content, especially at third codon positions. Despite dramatic AT-biased codon usage, we find no evidence that this has driven divergent protein evolution. We argue that the GC landscape of Lepidoptera, Diptera and Coleoptera genomes is influenced by GC-biased gene conversion, strongest in Lepidoptera, with some outlier taxa affected drastically by counteracting processes.
Recommender-based bone tumour classification with radiographs—a link to the past
Authors: Hinterwimmer Florian , Serena Ricardo Smits , Wilhelm Nikolas , Breden Sebastian , Consalvo Sarah , Seidl Fritz , Juestel Dominik , Burgkart Rainer H. H. , Woertler Klaus , von Eisenhart-Rothe Ruediger , Neumann Jan , Rueckert Daniel 
Published: March 2024

Abstract
Objectives
To develop an algorithm to link undiagnosed patients to previous patient histories based on radiographs, and simultaneous classification of multiple bone tumours to enable early and specific diagnosis.

Materials and methods
For this retrospective study, data from 2000 to 2021 were curated from our database by two orthopaedic surgeons, a radiologist and a data scientist. Patients with complete clinical and pre-therapy radiographic data were eligible. To ensure feasibility, the ten most frequent primary tumour entities, confirmed histologically or by tumour board decision, were included. We implemented a ResNet and transformer model to establish baseline results. Our method extracts image features using deep learning and then clusters the k most similar images to the target image using a hash-based nearest-neighbour recommender approach that performs simultaneous classification by majority voting. The results were evaluated with precision-at-k, accuracy, precision and recall. Discrete parameters were described by incidence and percentage ratios. For continuous parameters, based on a normality test, respective statistical measures were calculated.

Results
Included were data from 809 patients (1792 radiographs; mean age 33.73 ± 18.65, range 3–89 years; 443 men), with Osteochondroma (28.31%) and Ewing sarcoma (1.11%) as the most and least common entities, respectively. The dataset was split into training (80%) and test subsets (20%). For k = 3, our model achieved the highest mean accuracy, precision and recall (92.86%, 92.86% and 34.08%), significantly outperforming state-of-the-art models (54.10%, 55.57%, 19.85% and 62.80%, 61.33%, 23.05%).

Conclusion
Our novel approach surpasses current models in tumour classification and links to past patient data, leveraging expert insights.

Clinical relevance statement
The proposed algorithm could serve as a vital support tool for clinicians and general practitioners with limited experience in bone tumour classification by identifying similar cases and classifying bone tumour entities.

Key Points
• Addressed accurate bone tumour classification using radiographic features.
• Model achieved 92.86%, 92.86% and 34.08% mean accuracy, precision and recall, respectively, significantly surpassing state-of-the-art models.
• Enhanced diagnosis by integrating prior expert patient assessments.

Graphical abstract
Computational modeling of cracking in cortical bone microstructure using the mesh fragmentation technique
Authors: Barros Marcos A. M. de , Manzoli Osvaldo L. , Bitencourt Luís A. G. 
Published: March 2024

AbstractThe cortical bone is a hierarchical composite material that, at the microscale, is segmented in an interstitial matrix, cement line, osteons, and Haversian canals. The cracking of the structure at this scale directly influences the macro behavior, and, in this context, the cement line has a protagonist role. In this sense, this work aims to simulate the crack initiation and propagation processes via cortical bone microstructure modeling with a two-dimensional mesh fragmentation technique that captures the mechanical relevance of its constituents. In this approach, high aspect ratio elements are inserted between the regular constant strain triangle finite elements to define potential crack paths a priori. The crack behavior is described using a composed damage model with two scalar damage variables, which is integrated by an implicit-explicit (Impl-Ex) scheme to avoid convergence problems usually found in numerical simulations involving multiple cracks. The approach’s capability of modeling the failure process in cortical bone microstructure is investigated by simulating four conceptual problems and one example based on a digital image of an experimental test. The results obtained in terms of crack pattern and failure mechanisms agree with those described in the literature, demonstrating that the numerical tool is promising to simulate the complex failure mechanisms in cortical bone, considering the properties of its distinct phases.
Thoracic fluid content (TFC) using electrical cardiometry versus lung ultrasound in the diagnosis of transient tachypnea of newborn
Authors: EL-Fattah Nagwa Mohamed Abd , EL-Mahdy Heba Saied , Hamisa Manal Fathy , Ibrahim Ashraf Mohamed 
Published: March 2024

AbstractThis study aimed to evaluate TFC by EC versus lung ultrasound (LUS) findings for diagnosing and follow-up of TTN in late preterm and term neonates. This prospective observational study was conducted on 80 neonates with gestational age ≥ 34 weeks. TTN group included 40 neonates diagnosed with TTN, and no lung disease (NLD) group included 40 neonates without respiratory distress. LUS and EC were performed within the first 24 h of life and repeated after 72 h. There was a statistically significant increase in TFC in TTN group on D1 [48.48 ± 4.86 (1 KOhm−1)] compared to NLD group [32.95 ± 4.59 (1 KOhm−1)], and then significant decrease in TFC in D3 [34.90 ± 4.42 (1 KOhm−1)] compared to D1 in the TTN group. There was a significant positive correlation between both TFC and LUS with Downes’ score, TTN score, and duration of oxygen therapy in the TTN group. Conclusion: Both LUS and TFC by EC provide good bedside tools that could help to diagnose and monitor TTN. TFC showed a good correlation with LUS score and degree of respiratory distress.

What is Known:• Transient tachypnea of the newborn (TTN) is the most common cause of respiratory distress in newborns.• TTN is a diagnosis of exclusion, there are no specific clinical parameters or biomarker has been identified for TTN.

What is New:• Thoracic fluid content (TFC) by electrical cardiometry is a new parameter to evaluate lung fluid volume and could help to diagnose and monitor TTN and correlates with lung ultrasound score.
The antagonistic effect of FTO on METTL14 promotes AKT3 m6A demethylation and the progression of esophageal cancer
Authors: Wei Ran , Zhao Fangfang , Kong Lingsuo , Pu Youguang , Li Yuanhai , Zang Chunbao 
Published: March 2024

Abstract
Background
As the most abundant modification in eukaryotic messenger RNAs (mRNAs), N6-methyladenosine (m6A) plays vital roles in many biological processes.

Methods
Methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptomic RNA sequencing (RNA-seq) were used to screen for m6A targets in esophageal cancer cells and patients. The role of m6A RNA methylase in esophageal cancer was also analyzed using bioinformatics. In vitro and in vivo experiments were used to analyze gene expression and function. CCK-8, colony formation, cell apoptosis and immunofluorescence staining assays were performed to evaluate the proliferation, migration and invasion of esophageal cancer cells, respectively. Western blot analysis, RNA stability, RIP and luciferase reporter assays were performed to elucidate the underlying mechanism involved.

Results
We found that the m6A demethylase FTO was significantly upregulated in esophageal cancer cell lines and patient tissues. In vivo and in vitro assays demonstrated that FTO was involved in the proliferation and apoptosis of esophageal cancer cells. Moreover, we found that the m6A methyltransferase METTL14 negatively regulates FTO function in esophageal cancer progression. FTO alone is not related to the prognosis of esophageal cancer, and its function is antagonized by METTL14. By using transcriptome-wide m6A-seq and RNA-seq assays, we revealed that AKT3 is a downstream target of FTO and acts in concert to regulate the tumorigenesis and metastasis of esophageal cancer. Taken together, these findings provide insight into m6A-mediated tumorigenesis in esophageal cancer and could lead to the design of new therapeutic strategies.
Preparedness of German emergency departments for chemical, biological, radiological and nuclear (CBRN) incidents
Authors: Bollinger Matthias , Bushuven Stefan , Bentele Michael , Bentele Stefanie , Wenske Slatomir , Goertz David , Shapeton Alexander Daniel , Kohl Matthias , Tralls Patrick , Kumle Bernhard 
Published: March 2024

Abstract
Background
Post-pandemic considerations, as well as lessons learned from terrorist attacks, wars, and disasters worldwide demonstrate that emergency departments must be prepared for mass casualty events related to chemical, biological, radiological, and nuclear (CBRN) hazardous materials. Our aim was to evaluate whether German emergency departments are sufficiently prepared for such events.

Methods
We developed a survey and distributed it to all chairpersons of emergency departments in Germany via the German Emergency Department Directory. Results of the survey were described using total numbers and percentages. Capacity for decontamination at different sites was graphically displayed using box-and-whisker plots. The primary endpoint of this study was whether German emergency departments are sufficiently prepared for CBRN incidents.

Results
Of 963 emergency departments, 262 (27.21%) answered the survey: 80.43% (189/235) of the hospitals had a plan for biological incidents, 49.36% (116/235) for chemical incidents, and 34.47% (81/235) for radionuclear incidents. Furthermore, 50% (116/232) reported some kind of decontamination site, but only 31.42% (71/226) reported having a water supply to their decontamination area. Sufficient protective equipment was only available in 27.51% (63/229) of emergency departments. Only 12.02% (25/208) of hospitals were able to decontaminate supine patients properly, following a decontamination scheme.

Conclusion
Most German hospitals are not adequately prepared to handle casualties resulting from chemical, biological, radiological, or nuclear hazardous materials. Given these results, there is a need for systemic intervention at the national level in order to improve preparedness.
Design, Manufacture, and Cryogenic Testing of a Linerless Composite Tank for Liquid Hydrogen
Authors: Olsson Robin , Cameron Christopher , Moreau Florence , Marklund Erik , Merzkirch Matthias , Pettersson Jocke 
Published: March 2024

AbstractThis paper describes design, manufacture, and testing of a linerless composite vessel for liquid hydrogen, having 0.3 m diameter and 0.9 m length. The vessel consists of a composite cylinder manufactured by wet filament winding of thin-ply composite bands, bonded to titanium end caps produced by additive manufacturing. The aim was to demonstrate the linerless design concept with a thin-ply composite for the cylinder. The investigation is limited to the internal pressure vessel, while real cryogenic tanks also involve an outer vessel containing vacuum for thermal insulation. Thermal stresses dominate during normal operation (4 bar) and the layup was selected for equal hoop strains in the composite cylinder and end caps during filling with liquid hydrogen. Two vessels were tested in 20 cycles, by filling and emptying with liquid nitrogen to 4 bar, without signs of damage or leakage. Subsequently, one vessel was tested until burst at almost 30 bar.
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Authors: Chen Xieling , Xie Haoran , Tao Xiaohui , Wang Fu Lee , Leng Mingming , Lei Baiying 
Published: March 2024

AbstractAdvancements in artificial intelligence (AI) have driven extensive research into developing diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of large-scale analysis of literature in this field based on quantitative approaches. This study performed a bibliometric and topic modeling examination on 683 articles from 2002 to 2022, focusing on research topics and trends, journals, countries/regions, institutions, authors, and scientific collaborations. Results showed that, firstly, the number of articles has grown from 1 in 2002 to 220 in 2022, with a majority being published in interdisciplinary journals that link healthcare and medical research and information technology and AI. Secondly, the significant rise in the quantity of research articles can be attributed to the increasing contribution of scholars from non-English speaking countries/regions and the noteworthy contributions made by authors in the USA and India. Thirdly, researchers show a high interest in diverse research issues, especially, cross-modality magnetic resonance imaging (MRI) for brain tumor analysis, cancer prognosis through multi-dimensional data analysis, and AI-assisted diagnostics and personalization in healthcare, with each topic experiencing a significant increase in research interest. There is an emerging trend towards issues such as applying generative adversarial networks and contrastive learning for multimodal medical image fusion and synthesis and utilizing the combined spatiotemporal resolution of functional MRI and electroencephalogram in a data-centric manner. This study is valuable in enhancing researchers’ and practitioners’ understanding of the present focal points and upcoming trajectories in AI-powered smart healthcare based on multimodal data analysis.
The movement of mitochondria in breast cancer: internal motility and intercellular transfer of mitochondria
Authors: Libring Sarah , Berestesky Emily D. , Reinhart-King Cynthia A. 
Published: March 2024

AbstractAs a major energy source for cells, mitochondria are involved in cell growth and proliferation, as well as migration, cell fate decisions, and many other aspects of cellular function. Once thought to be irreparably defective, mitochondrial function in cancer cells has found renewed interest, from suggested potential clinical biomarkers to mitochondria-targeting therapies. Here, we will focus on the effect of mitochondria movement on breast cancer progression. Mitochondria move both within the cell, such as to localize to areas of high energetic need, and between cells, where cells within the stroma have been shown to donate their mitochondria to breast cancer cells via multiple methods including tunneling nanotubes. The donation of mitochondria has been seen to increase the aggressiveness and chemoresistance of breast cancer cells, which has increased recent efforts to uncover the mechanisms of mitochondrial transfer. As metabolism and energetics are gaining attention as clinical targets, a better understanding of mitochondrial function and implications in cancer are required for developing effective, targeted therapeutics for cancer patients.