bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Reproducibility Analysis of Thoracic Aorta Morphometric Parameters According to Computed Tomography and Magnetic Resonance Angiography
Authors: Varlamova Yu. V. , Saushkin V. V. , Ryumshina N. I. , Panfilov D. S. , Kozlov B. N. , Sazonova S. I. 
Published: November 2023

Objective: to compare intra- and inter-operator reproducibility of thoracic aorta (ThAo) morphometric parameters, calculated by multislice computed tomography (MSCT) and magnetic resonance imaging (MRI).Material and methods. The prospective study included 20 patients with ascending aorta (AAo) dilatation (≥45 mm). All patients underwent MSCT- and MRI-angiography in electrocardiogram-gated mode. Mean diameter (Dmean) and cross-sectional area (CSA) were measured at different ThAo levels in the systole and diastole along the inner contour of the vessel. All measurements were performed by two radiologists. Each of them took measurements twice at an interval of at least 1 month. The reproducibility of repeated measurements was studied using intraclass correlation coefficient. Results. The analysis of the systolic frame revealed significant differences between the methodsfor measuring Dmean (MRI: 42.5 (41.0–47.8) mm; MSCT: 37.7 (34.7–40.3) mm; p = 0.003) and CSA at the level of the sinotubular junction (MRI: 14.8 (12.7–17.9) cm2; MSCT: 11.4 (10.3–13.3) cm2; p = 0.009), AAo CSA(MRI: 17.6 (14.6–20.8) cm2; MSCT: 19.6 (16.7–21.5) cm2; p = 0.035) and Dmean at the level proximal to left subclavian artery (LSA) (MRI: 31.5 (31.0–34.0) mm; MSCT: 31.7 (27.3–32.9) mm; p = 0.041). For the diastolic frame, significant differences between the methods were observed when measuring AAo CSA (MRI: 17.0 (14.5–19.7) cm2; MSCT: 19.7 (15.3–21.8) cm2; p = 0.025), Dmean (MRI: 30.5 (29.3–32.8) mm; MSCT: 29.8 (27.1–31.3) mm; p = 0.05) and CSA at the level proximal to LSA (MRI: 7.5 (6.9–7.9) cm2; MSCT: 7.4 (5.9–7.8) cm2; p = 0.007), as well as CSA at the left atrium level (MRI: 4.9 (4.2–5.0) cm2; MSCT: 5.1 (4.67–5.5) cm2; p = 0.042). For MSCT-angiography, good intra- and inter-operator reproducibility of measurements at all ThAo levels was obtained. For MRI-angiography, there was a strong intra- and interoperator variability in determining Dmean and CSA at the levels of aortic arch and descending aorta.Conclusion. Aortic cross-sectional area showed the best intra- and inter-operator reproducibility and comparability of measurements between MSCT- and MRI-angiography
Experience in Using Breast Single-Photon Emission Computed Tomography with <sup>99m</sup>Tc-MIBI
Authors: Shevkina S. P. , Zhestovskaya S. I. , Vyazmin V. V. , Shumilina N. Yu. 
Published: November 2023

Objective: evaluation of the results of single-photon emission computed tomography (SPECT) with technetium-99m-methoxyisobutylisonitrile (99mTc-MIBI) in women with breast masses according to mammography (MMG) and ultrasound (US) examination in comparison with the results of morphology analysis.Material and methods. SPECT with 99mTc-MIBI was performed in 11 women aged from 30 to 63 years (median age 40 [33.5; 46.5]) with BI-RADS (Breast Imaging Reporting and Data System) categories 4 or 5 mammary masses according to bilateral MMG and US diagnostics. Two patients underwent repeated SPECT and US to analyze the primary tumor response to neoadjuvant chemotherapy.Results. With a multimodal approach to the diagnosis of breast tumors, including MMG and US, 11 pathological masses were identified. SPECT made it possible to find an additional mass that had not been previously visualized. All 12 masses were subsequently verified morphologically. With benign changes, hyperfixation of 99mTc-MIBI was not observed. SPECT allowed to assess the accumulation of the radiopharmaceutical in metastatically affected lymph nodes. However, the most sensitive method for detecting the axillary lymph node lesions is US. According to the results of repeated SPECT in 2 patients, no radiopharmaceutical accumulation was noted in mammary gland masses after two courses of neoadjuvant chemotherapy, but according to the histological examination, the tumor response was different: I and IV degrees of pathomorphosis according to G.A. LavnikovaConclusion. The experience of using mammary SPECT with 99mTc-MIBI confirms an increase in the accuracy of radiologic diagnosis of newly identified breast cancer, expands the possibilities of examination in cases of ambiguous MMG and US data, as well as the contraindications or patient’s refusal from magnetic resonance imaging.
To Help the Practitioner: Imaging of Ovarian Masses According to the O-RADS MRI Ovarian Malignancy Categorical Risk Scale
Authors: Aksenova S. P. , Nudnov N. V. , Slanskaya A. V. , Solodkiy V. A. 
Published: November 2023

Objective: to study the informativity of the Ovarian-Adnexal Imaging-Reporting-Data System Magnetic Resonance Imaging (O-RADS MRI) in detection of ovarian cancer in the practice of a radiologist.Material and methods. The study included 271 women who underwent pelvic magnetic resonance imaging (MRI) in the period from August to November, 2021. Two radiologists with 6-year (Researcher 1) and 2-year (Researcher 2) experience retrospectively analyzed MR images, in which all ovarian masses were evaluated according to O-RADS MRI categorical risk scale from 0 to 5. The analysis of true positive, true negative, false positive and false negative rates according to MRI data compared to the reference data (histology or 1-year follow-up) was performed.Results. O-RADS MRI categorial risk scale had high diagnostic performance for the characterization of adnexal lesions (sensitivity 87.5% and 87.5%, specificity 97.84% and 96.75%, area under curve (AUC) 0.991 and 0.986 for Researchers 1 and 2, respectively), as well as good interreader agreement (Cohen’s kappa coefficient 0,83). Researchers’ mistakes were analyzed, as well as controversial issues of categorial affiliation of ovarian masses that caused false positive and false negative results. Visual aids for ovarian MRI in accordance with O-RADS MRI classification were made for quick orientation in the system to simplify creating the radiology report.Conclusion. O-RADS MRI categorial risk scale proved to be a reliable working tool for the communication between radiologist and gynecologist-oncologist. However, the question of categorial affiliation of a number of nosological names that are not reflected in O-RADS MRI and require further study continues to be debated.
Effect of Mineral Fertilisation on Tuber Yield and Quality in Yams (<em>Dioscorea alata</em> and <em>Dioscorea rotundata</em>)
Authors: Afolabi Folasade , Matsumoto Ryo , Akinwande Bolanle , Otegbayo Bolanle , Asfaw Asrat 
Published: November 2023

This study assessed the impact of mineral fertilization on tuber yield and food quality of yam genotypes, specifically Dioscorea alata and Dioscorea rotundata. Four genotypes, each from D. alata and D. rotundata, were used in ﬁeld experiments conducted in Ibadan, Nigeria, in the 2017 and 2018 cropping seasons. Experiments were conducted under low soil NPK fertility conditions with and without fertiliser treatments. A recommended NPK rate for the area (90, 50, and 75 Kg N, P, K ha-1) was applied to plots with fertiliser treatment. Tuber yield, functional and pasting properties of yam flour, and sensory attributes of pounded yams were collected. The results showed differential responses of the genotypes to tuber yield and food quality with fertiliser application. Fertiliser application has generally increased fresh tuber yield, but it has affected some genotypes&#039; flour quality and textural attributes of the pounded yams. As regards genotypes Danacha and TDa0200012, fertiliser application has increased tuber yield without causing a decrease in tuber quality hence, suggesting Danacha and TDa0200012 as suitable genotypes for maximizing fertiliser productivity. However, in another genotype Ojuiyawo, fertiliser application effectively increased tuber yield but deteriorated tuber quality. Our results suggested that it is crucial to determine the impact of fertilisation on tuber yield and quality for each genotype and select the appropriate genotype to improve productivity through mineral fertilisation. The results of this study can be widely applied to enhance yam productivity in sub-Saharan Africa and useful for sustainable agriculture in yam-growing areas.
Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors
Authors: Wang Shen , Han Jianzhong , Huang Jingru , Islam Khayrul , Shi Yuheng , Zhou Yuyuan , Kim Dongwook , Zhou Jane , Lian Zhaorui , Liu Yaling , Huang Jian 
Published: November 2023

Abstract
Background
Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell research. In recent years, deep learning has emerged as a powerful tool for cell image analysis and classification/prediction.
Methods
In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) images.
Results
After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HSCs (LT-HSCs), short-term HSCs (ST-HSCs), and MPPs. The LSM model extracts intrinsic morphological features unique to different cell types, irrespective of the methods used for cell identification and isolation, such as surface markers or intracellular GFP markers. Furthermore, employing the same deep learning framework, we created a two-class classifier that effectively discriminates between aged HSCs and young HSCs. This discovery is particularly significant as both cell types share identical surface markers yet serve distinct functions. This classifier holds the potential to offer a novel, rapid, and efficient means of assessing the functional states of HSCs, thus obviating the need for time-consuming transplantation experiments.
Conclusion
Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. With ongoing advancements in model algorithms and their integration into various imaging systems, deep learning stands poised to become an invaluable tool, significantly impacting stem cell research.
Infection-on-a-chip for viral entry modeling
Authors: Daniel Susan , Chao Zhongmou , Selivanovitch Ekaterina , Kallitsis Konstantinos , Lu Zixuan , Owens Roisin 
Published: November 2023

Abstract

Reassembling cell membranes on functional supports can facilitate sensing and studying biorecognition events at the cell surface. Here, we introduce a bioelectrical sensing platform on which biomimetic supported lipid bilayers (SLBs) are assembled and electrical signals are used to detect distinct SARS-CoV-2 virus entry pathways. By recreating the host microenvironmental signals, we were able to initiate and monitor fusion events between SLBs and Spike-decorated virus pseudoparticles (VPPs) via changes in membrane resistance using electrochemical impedance spectroscopy (EIS) and confirm independently by total internal reflection microscope (TIRF). EIS data indicated that fluctuations in resistance vary depending on the VPP/SLB interactions (i.e. binding versus fusion) and our sensing platform can distinguish between the two events. We show that this sensing platform offers complete control over components presented, allows for the SLB to model either the host cell or viral surfaces, and can distinguish between virus variants with different fusogenicities. Though SARS-CoV-2 VPPs and biomimetic SLBs serve as a model system, we anticipate that the full capacity of this platform can be realized by expanding to other enveloped viruses and different cell lines to quantifiably explore virus/host interactions, which can be tuned to mimic the membrane environment of a particular host.
Transfer and extension of experience from urban heavy rain flood risk warning
Authors: Einfalt Thomas , Jasper-Tönnies Alrun , Castro Bruno 
Published: November 2023

Abstract

The high variability of local intense rainfall events and the short response time of flow in urban catchments demand improved methods in flood warning systems. A key aspect of success is the improvement of short-term forecasts of heavy rainfall by combining ensembles of radar nowcasts with numerical weather prediction ensembles. This paper presents results from this approach in the context of the urban fluvial water management and flood warning system in Hamburg since 2019 and extends its conclusions to other application fields. New challenges from this operational context are being investigated in another research project focusing on the city of Hanover. The topics of improved spatial rainfall data resolution, use of ensemble information from radar nowcasts for pluvial flood warning in connection with sewer load and possible solutions for real-time applications in the urban context are tackled. Experiences from both projects illustrate the importance of applying real-time measurements and ensemble forecasts in connection with a clear open information strategy. Data quality and resolution are crucial aspects in this context, making the combination of different data sources potentially significant for improving the outcome.
Oral Fluorescein angiography in the diagnosis of paediatric optic nerve abnormalities.
Authors: Muthusamy Brinda , Brady Robert Thomas , Kaza Hrishikesh , Jain Nikhil 
Published: November 2023

Abstract
OBJECTIVE
FFA is a well-established investigation for the diagnosis of optic nerve abnormalities, requiring an intravenous cannula and extended imaging acquisition time. Cannulation can present a challenge in paediatric patients and whilst oral FFA has been used for decades, it has been limited by imaging technology and unconfirmed image acquisition timings. For years, we have used a modern ultra-widefield retinal camera, and established imaging time-points to demonstrate dynamic optic nerve head changes upon ingestion of fluorescein and collected a database of oFFA images for various presentations.
METHODS
Using an established protocol, optic nerve colour images were obtained, followed by oral administration of fluorescein dye. The optic nerves are then imaged at established intervals. An interpretation of oFFA tutorial was delivered to consultant ophthalmologists and trainees. Subsequently, these groups were assessed using a series of fifteen cases with sensitivity and specificity of the test determined.
RESULTS
Our study presents a series of images and descriptions for common optic nerve abnormalities in paediatric populations. In the interpretation part of the study, overall sensitivity of 76.8% in the consultant group vs 63.3% in the combined consultant + trainees and specificity of 87.5% vs 68.4% in the combined group.
CONCLUSIONS
This is the first study that describes characteristic features of several common, and serious, optic nerve abnormalities specifically for oFFA interpretation in a paediatric population. It also highlights the rapid accumulation of oFFA interpretation skills in non-specialist consultant and trainee ophthalmologists such as to obtain a high diagnostic accuracy with high sensitivity and specificity.
Investigating the genetic control of plant development under speed breeding conditions
Authors: Rossi Nicola , Powell Wayne , Mackay Ian , Hickey Lee , Maurer Andreas , Pillen Klaus , Halliday Karen , Sharma Rajiv 
Published: November 2023

Abstract

Speed breeding is a tool to accelerate breeding and research programmes. Despite its success and growing popularity with breeders the genetic basis of plant development under speed breeding remains unknown. This study explored the developmental advancements of parley genotypes under different photoperiod regimes. A subset of the HEB-25 Nested Association Mapping population was evaluated for days to heading and maturity under two contrasting photoperiod conditions: 1) Speed Breeding (SB) consisting of 22 hours of light and 2 hours of darkness, and 2) Normal Breeding (NB) consisting of 16 hours of light and 8 hours of darkness. GWAS revealed that developmental responses under both conditions were largely controlled by two loci: PPDH-1 and ELF3. Allelic variants at these genes determine whether plants display early flowering and maturity under both conditions. At key QTL regions, domesticated alleles were associated with late flowering and maturity in NB and early flowering and maturity in SB, whereas wild alleles were associated with early flowering under both conditions. We hypothesise that this is related to the dark dependent repression of PPD-H1 by ELF3 which might be more prominent in NB conditions. Furthermore, by comparing development under two photoperiod regimes, we derived an estimate of plasticity for the two traits. Interestingly, plasticity in development was largely attributed to allelic variation at ELF3. Our results have important implications for our understanding and optimisation of speed breeding protocols particularly for introgression breeding and the design of breeding programmes to support the delivery of climate resilient crops.
How does transition finance influence green innovation of high-polluting and high-energy-consuming enterprises? Evidence from China
Authors: Liu Chao , Yang Yujie , Chen Shuai 
Published: November 2023

Abstract
Under the impact of "double-carbon" target, transition finance has an important impact on green innovation of Chinese double-high enterprises. Using a sample of 4270 high-polluting and high-energy-consumption listed enterprises(referred to as double-high enterprises) in China from 2012 to 2021, this paper empirically examines the impact of transition finance on the green innovation of China's double-high enterprises by using a fixed-effects model. The study finds that transition finance can have a facilitating effect on green innovation in double-high enterprises. The intermediary mechanism test shows that transition finance can promote green innovation of double-high enterprises through alleviating financing constraints, increasing the level of green management, and enhancing the policy orientation effect. The heterogeneity test finds that transition finance promotes green innovation more significantly for the double-high enterprises that are state-owned, large-scale, and located in regions with high levels of intellectual property protection. Further research finds that the role of transition finance in promoting green innovation in double-high enterprises helps to promote the achievement of green development of double-high enterprises.
In-plane template induced selective growth of H-phase CrSe2
Authors: Wee Andrew , Liu Meizhuang , Gou Jian , liu Zizhao , Ye Yuliang , Xu Jing , Chen Zuxin , Xu Xiaozhi , Zhong Dingyong , Eda Goki 
Published: November 2023

Abstract
Phase engineering in two-dimensional transition metal dichalcogenides (2D-TMDs) offers opportunities for exploring their unique properties of different phases and achieving new desired functionalities. Here, we report a selective synthetic strategy for the molecular beam epitaxy growth of the H-phase CrSe2 induced by an in-plane heteroepitaxial template. The lattice-matched MoSe2 nanoribbons are utilized as the in-plane heteroepitaxial template to seed the growth of H-phase CrSe2 thin layers with the consequential formation of MoSe2-CrSe2 lateral heterostructures. Scanning tunneling microscopy and non-contact atomic force microscopy studies reveal the atomically sharp interfaces in the lateral heterostructures and the characteristic defects of mirror twin boundaries emerging in the H-phase CrSe2 monolayers. Distinct from the metallic T-phase CrSe2, the semiconducting character of the H-phase CrSe2 is detected using the scanning tunneling spectroscopy. The type-I straddling band alignments of MoSe2-CrSe2 lateral heterostructures are directly visualized in atomic precision with band bending at the interfaces. The mirror twin boundaries in the H-phase CrSe2 exhibit the Tomonaga-Luttinger liquid behavior in the confined one-dimensional electronic system. This in-plane heteroepitaxial template induced phase-selective growth provides a promising approach for phase engineering of 2D TMDs, thereby further expanding the library of crystal phases and promoting the versatile device applications of specific phases.
Establishment and characterization of two novel patient-derived cell lines from giant cell tumor of bone: NCC-GCTB8-C1 and NCC-GCTB9-C1
Authors: Adachi Yuki , Noguchi Rei , Yoshimatsu Yuki , Sin Yooksil , Osaki Julia , Ono Takuya , Iwata Shuhei , Akiyama Taro , Tsuchiya Ryuto , Toda Yu , Ishihara Shin , Ogura Koichi , Kobayashi Eisuke , Kojima Naoki , Yoshida Akihiko , Yokoo Hideki , Kawai Akira , Kondo Tadashi 
Published: November 2023

Abstract
Giant cell tumor of bone (GCTB) is a rare osteolytic bone tumor consisting of mononuclear stromal cells, macrophages, and osteoclast-like giant cells. Although GCTB predominantly exhibits benign behavior, the tumor carries a significant risk of high local recurrence. Furthermore, GCTB can occasionally undergo malignant transformation and distal metastasis, making it potentially fatal. The standard treatment is complete surgical resection; nonetheless, an optimal treatment strategy for advanced GCTB remains unestablished, necessitating expanded preclinical research to identify appropriate therapeutic options. However, only one GCTB cell line is publicly available from a cell bank for research use worldwide. The present study reports the establishment of two novel cell lines, NCC-GCTB8-C1 and NCC-GCTB9-C1, derived from the primary tumor tissues of two patients with GCTB. Both cell lines maintained the hallmark mutation in the H3-3A gene, which is associated with tumor formation and development in GCTB. Characterization of these cell lines revealed their steady growth, spheroid-formation capability, and invasive traits. Potential therapeutic agents were identified via extensive drug screening of the two cell lines and seven previously established GCTB cell lines. Among the 214 antitumor agents tested, romidepsin, a histone deacetylase inhibitor, and mitoxantrone, a topoisomerase inhibitor, were identified as potential therapeutic agents against GCTB. Conclusively, the establishment of NCC-GCTB8-C1 and NCC-GCTB9-C1 provides novel and crucial resources that are expected to advance GCTB research and potentially revolutionize treatment strategies.