bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distinct clinicopathological and genomic features in solid and basaloid adenoid cystic carcinoma of the breast
Authors: Ji Juan , Zhang Fang , Duan Fanglei , Yang Hong , Hou Jun , Liu Yang , Dai Jie , Liao Qiong , Chen Xian , Liu Qingsong 
Published: May 2022

AbstractAdenoid cystic carcinoma (AdCC) of the breast is a rare indolent carcinoma of salivary gland-type tumors, frequently associated with MYB genetic alteration. Solid and basaloid adenoid cystic carcinoma (SB-AdCC) is considered a sparse variant of AdCC. This study sought to search for clinicopathological and genomic features in SB-AdCC. Registered clinicopathological data on a cohort of 13 AdCC of the breast cases, including six conventional adenoid cystic carcinoma (C-AdCC) cases and seven SB-AdCC cases, were collected. MYB gene rearrangement via fluorescent in situ hybridization was investigated and MYB protein expression was evaluated by immunohistochemistry. Compared with C-AdCC, we found that the distribution of SB-AdCC cases were shifted to older age and were more frequently distant metastasis. Moreover, metastasis cases also showed a high (exceed 30%) Ki-67 index. Both groups showed MYB rearrangements and MYB protein expression, but they were less frequent in SB-AdCC than C-AdCC. To conclude, our results suggest that SB-AdCC is an aggressive variant of mammary AdCC with a higher incidence of distant metastases compared with C-AdCC, though they share common molecular features. A high Ki-67 index may be an adverse prognostic factor for metastasis.
DS‐SRI: Diversity similarity measure against scaling, rotation, and illumination change for robust template matching
Authors: Zhang Yi , Zhang Chao , Akashi Takuya 
Published: May 2022

AbstractThis paper presents a novel multi‐scale template matching method that can be applied in unconstrained environments. The key component behind this is a general similarity measure is referred to as the diversity similarity measure against scaling, rotation, and illumination (DS‐SRI). Specifically, DS‐SRI exploits bidirectional diversity calculated from the nearest neighbour matches between two sets of points. Scaling and rotation changes are taken into consideration by introducing normalisation term on the scale change, and geometric consistency term with respect to the polar coordinate system. Moreover, in order to deal with the illumination change and further deformation, illumination‐corrected local appearance and rank information are jointly exploited during the nearest neighbour search. All the features of DS‐SRI are statistically assessed, and the extensive visual and quantitative results on both synthetic and real‐world data show that DS‐SRI can significantly outperform state‐of‐the‐art methods.
Designing and manufacturing of electric arc furnace currents measurement system in Mobarakeh Steel Company by printed circuit board‐type Rogowski coils
Authors: Sadeghi Reza , Samet Haidar , Ghanbari Teymoor , Daryabar Darioush 
Published: May 2022

AbstractThis paper deals with the utilization of printed circuit board Rogowski coils (PCBRCs) for differential protection of electric arc furnace (EAF) transformers in Mobarakeh Steel Company (MSC), Isfahan, Iran. Because of a high level of current (in the range of 100 kA) in the EAF transformers in the MSC, employment of differential protection is quite challenging. Conventional current transformers (CTs) cannot offer reliable performance for very high current levels. The PCBRCs are a branch of Rogowski coils (RCs) that can be manufactured with high precision using computer‐aided design approaches and have the capability for the measurement of very large currents. In this study, we have designed and manufactured two sets of PCBRCs to measure current in the primary and secondary sides of the EAF's transformers in the MSC. The PCBRCs are followed by a signal condition circuit (SCC) which includes a low‐pass filter, amplifier, and voltage‐to‐current (V‐to‐I) converter block. Thanks to the SCC, the high current of the transformers can be properly sensed and transmitted over a long cable that connects the PCBRCs to the relay. Furthermore, a novel model is suggested for the EAF that includes characteristics of both time and frequency domain models. The suggested model is developed using a large number of recorded data from the MSC and can model the non‐linear and time‐variant behaviours of the EAF. The proposed PCBRCs, SCC, and EAF modelling are evaluated by some simulations and experiments in the MSC.
Recent Advances in Enantioselective Organocatalytic Reactions Enabled by N-Heterocyclic Carbenes (NHCs) Containing Triazolium Motifs
Authors: Dhayalan Vasudevan , Dandela Rambabu , Sharma Deepika , Chatterjee Rana 
Published: May 2022

AbstractN-Heterocyclic carbenes (NHCs) containing triazolium motifs have emerged as a powerful tool in organocatalysis. Recently, various NHC-catalyst-mediated organic transformations have been developed. This review aims to compile the current state of knowledge on enantioselective NHC-triazolium-catalyzed named reactions as well as introduce newly developed catalytic methods. Furthermore, this review article framework provides an excellent opportunity to highlight some of the unique applications of these catalytic procedures in the synthesis of natural products and biologically active compounds, notably the extensive processes for the preparation of substituted chiral alcohols and their derivatives. This review also provides an overview of the synthesis of chiral NHC-triazolium-catalyst libraries and their applications in catalytic enantioselective reactions.1	Introduction2	Synthesis of N‑Heterocyclic Carbenes Containing Triazolium Motifs2.1	Pyrrolidine-Based Triazoliums NHCs: Px

2.2	Morpholine-Based Triazoliums NHCs: Mx

2.3	Aminoindane-Based Triazoliums NHCs: AMx

2.4	Oxazolidine-Based Heteroazoliums NHCs: Ox

2.5.	Acyclic Triazoliums NHCs: Ax

3	Enantioselective Organocatalytic Reactions3.1	Enantioselective Benzoin Reactions3.1.1	Aldehyde–Aldehyde Homo-Benzoin Reactions3.1.2	Aldehyde–Aldehyde Cross-Benzoin Reactions3.1.3	Aldehyde–Ketone Cross-Benzoin Reactions3.1.4	Aldehyde–Imine Cross-Benzoin Reactions3.1.5	Aza-Benzoin Reactions3.2	Enantioselective Stetter Reactions3.2.1	Intramolecular Stetter Reactions3.2.2	Intermolecular Stetter Reactions3.3	Enantioselective Diels–Alder Reactions3.4	Enantioselective Michael Additions3.5	Enantioselective Rauhut–Currier Reactions3.6	Enantioselective Cycloadditions3.7	Enantioselective Michael–Stetter Cascade Reactions3.8	Enantioselective Annulation Reactions3.9	Synthesis of Spiro Compounds3.10	Heterocycle Synthesis3.11	Carbocycle Synthesis3.12	Asymmetric Steglich Rearrangement Reactions3.13	NHC-Mediated Asymmetric Acylation/Hydroacylation Reactions3.14	Enantioselective α-Fluorination of Aliphatic Aldehydes3.15	Functionalization of Carboxylic Anhydrides by NHC Catalysis3.16	Asymmetric β-Boration of Acyclic Enones3.17	Synthesis of Tropane Derivatives via Organocatalysis3.18	Dynamic Kinetic Resolution of Pyranones via NHC Catalysis3.19	Enantioselective Umpolung Reactions3.20	Enantioselective Esterification of Ketenes3.21	Asymmetric Synthesis of trans-γ-Lactams3.22	Oxy-Cope Rearrangements3.23	Claisen Rearrangements3.24	Enantioselective Synthesis of Complex Heterocycles3.25	Atroposelective Synthesis of N-Aryl Succinimides3.26	Asymmetric α-Fluorination via Cascade Reactions4	Conclusion
Syntheses of Aristotelia Alkaloids: Reflections in the Chiral Pool
Authors: Riley Andrew P. , Argade Malaika D. 
Published: May 2022

AbstractThe Aristotelia alkaloids are a family of monoterpene indole alkaloids possessing a characteristic azabicyclononane scaffold, which has been assembled by several synthetic methods. Herein we review those approaches that have adopted a biomimetic approach to unite heterocyclic synthons with chiral-pool monoterpenes. Throughout this discussion, the tendency of monoterpenes like α-pinene and limonene to undergo racemization is highlighted, revealing the challenges in developing stereospecific syntheses of these alkaloids. Finally, we provide a brief discussion of how these synthetic efforts have enabled the structural confirmation and elucidation of the Aristotelia alkaloids’ absolute configurations, including our own recent efforts to employ bioactivity data to deduce the naturally occurring configuration of the quinoline alkaloid aristoquinoline.1	Introduction2	Mercury-Mediated Ritter-Like Reactions3	Brønsted Acid Mediated Ritter-Like Reactions4	Synthesis of Aristoquinoline: Ritter-Like Reaction Approach5	Aza-Prins-Type Reaction in the Synthesis of Aristotelia Alkaloids6	Determination of Naturally Occurring Absolute Stereochemistry7	Conclusions
Bronchial Artery Embolization for Life-Threatening Hemoptysis in COVID-19 Patients
Authors: Keshmiri Mohammad Sadegh , Aghdasi Sina , Noorali Sima , Shafaghi Shadi , Serati Alireza , Naghashzadeh Farah , Movahed Mohammad Reza , Shadanfar Sharare , Hajimoradi Maryam , Kashani Babak Sharif 
Published: May 2022

AbstractAfter the outbreak of the novel coronavirus at the end of December 2019 in China, it has become a global pandemic. Clinical manifestation of coronavirus disease 2019 (COVID-19) has a wide range of presentations from asymptomatic to severe multi-organ involvement. Hemoptysis appears to be one of the major manifestations of severe acute respiratory syndrome that is related to COVID-19 infection. The occurrence of hemoptysis is multifactorial. However, massive hemoptysis is usually related to pulmonary aspergillosis or severe bronchiectasis due to corticosteroid pulse therapy that can be life-threatening. This manuscript presents five cases of successful life-saving bronchial artery embolization in patients with COVID-19 infection who were suffering from massive hemoptysis that was mostly related to aspergillosis and bronchiectasis. These cases are followed by a review of the literature.
Impact of litter quality on the stability and storage of soil carbon in flooded wetlands
Authors: Liu Xin , Liu Yajun , Ma Yantian , Mou Xiaozhen , Wu Lan 
Published: May 2022

Context High inputs of plant litters and slow decomposition of soil organic carbon (SOC) influence the biogeochemical cycling of soil carbon in flooded wetlands. Aims To investigate the effects of different quality litter inputs on SOC stability and storage in flooded wetlands. Methods A 180-day microcosmic experiment to investigated the decomposition of litters of two dominant plants (Carex cinerascens Kukenth., CC; Cyperaceae family) and Triarrhena lutarioriparia L. Liu, TL; Poaceae family), in Poyang Lake Wetlands. Key results CC litters (high-quality, low lignin/N mass ratio) reduced gross content of SOC, but increased labile carbon and labile index (LI) of soils. In contrast, inputs of TL litters (low-quality, high lignin/N mass ratio) increased SOC gross content and recalcitrant carbon fractions of soils, but reduced soil labile carbons and LI. Significant effects of litters on SOC were not observed until ∼30 days indicating that the effects of litter inputs on soil carbon pools in flooded wetlands need time to be activated. CC and TL litters both increased the soil microbial biomass carbon (MBC) content. Soil MBC in CC treatments was significantly affected by the litter ash-free dry mass, while that in TL treatments was significantly affected by mass loss. Conclusions Litter quality may regulate the growth of soil MBC via different microbial growth strategies. Implications Our results suggest that inputs of high-quality litters can yield a high amount of labile carbon through stimulated microbial decomposition, leading to an overall loss of carbon. In contrast, inputs of low-quality litters can promote the microbial production of more recalcitrant carbons and increase soil carbon stability and carbon sequestration.
Photonic bandgap engineering in (VO2)
n
/(WSe2)
n
photonic superlattice for versatile near- and mid-infrared phase transition applications
Authors: Basyooni Mohamed A , Zaki Shrouk E , Tihtih Mohammed , Eker Yasin Ramazan , Ateş Şule 
Published: May 2022

Abstract
The application of the photonic superlattice in advanced photonics has become a demanding field, especially for two-dimensional and strongly correlated oxides. Because it experiences an abrupt metal–insulator transition near ambient temperature, where the electrical resistivity varies by orders of magnitude, vanadium oxide (VO2) shows potential as a building block for infrared switching and sensing devices. We reported a first principle study of superlattice structures of VO2 as a strongly correlated phase transition material and tungsten diselenide (WSe2) as a two-dimensional transition metal dichalcogenide layer. Based on first-principles calculations, we exploit the effect of semiconductor monoclinic and metallic tetragonal state of VO2 with WSe2 in a photonic superlattices structure through the near and mid-infrared (NIR–MIR) thermochromic phase transition regions. By increasing the thickness of the VO2 layer, the photonic bandgap (PhB) gets red-shifted. We observed linear dependence of the PhB width on the VO2 thickness. For the monoclinic case of VO2, the number of the forbidden bands increase with the number of layers of WSe2. New forbidden gaps are preferred to appear at a slight angle of incidence, and the wider one can predominate at larger angles. We presented an efficient way to control the flow of the NIR–MIR in both summer and winter environments for phase transition and photonic thermochromic applications. This study’s findings may help understand vanadium oxide’s role in tunable photonic superlattice for infrared switchable devices and optical filters.
Radiomics evaluates the EGFR mutation status from the brain metastasis: a multi-center study
Authors: Cao Ran , Pang Ziyan , Wang Xiaoyu , Du Zhe , Chen Huanhuan , Liu Jiani , Yue Zhibin , Wang Huan , Luo Yahong , Jiang Xiran 
Published: May 2022

Abstract

Objective. To develop and externally validate habitat-based MRI radiomics for preoperative prediction of the EGFR mutation status based on brain metastasis (BM) from primary lung adenocarcinoma (LA). Approach. We retrospectively reviewed 150 and 38 patients from hospital 1 and hospital 2 between January 2017 and December 2021 to form a primary and an external validation cohort, respectively. Radiomics features were calculated from the whole tumor (W), tumor active area (TAA) and peritumoral oedema area (POA) in the contrast-enhanced T1-weighted (T1CE) and T2-weighted (T2W) MRI image. The least absolute shrinkage and selection operator was applied to select the most important features and to develop radiomics signatures (RSs) based on W (RS-W), TAA (RS-TAA), POA (RS-POA) and in combination (RS-Com). The area under receiver operating characteristic curve (AUC) and accuracy analysis were performed to assess the performance of radiomics models. Main results. RS-TAA and RS-POA outperformed RS-W in terms of AUC, ACC and sensitivity. The multi-region combined RS-Com showed the best prediction performance in the primary validation (AUCs, RS-Com versus RS-W versus RS-TAA versus RS-POA, 0.901 versus 0.699 versus 0.812 versus 0.883) and external validation (AUCs, RS-Com versus RS-W versus RS-TAA versus RS-POA, 0.900 versus 0.637 versus 0.814 versus 0.842) cohort. Significance. The developed habitat-based radiomics models can accurately detect the EGFR mutation in patients with BM from primary LA, and may provide a preoperative basis for personal treatment planning.
RA V-Net: deep learning network for automated liver segmentation
Authors: Lee ZhiQi , Qi SuMin , Fan ChongChong , Xie ZiWei , Meng Jing 
Published: May 2022

Abstract

Objective. Segmenting liver from CT images is the first step for doctors to diagnose a patient’s disease. Processing medical images with deep learning models has become a current research trend. Although it can automate segmenting region of interest of medical images, the inability to achieve the required segmentation accuracy is an urgent problem to be solved. Approach. Residual Attention V-Net (RA V-Net) based on U-Net is proposed to improve the performance of medical image segmentation. Composite Original Feature Residual Module is proposed to achieve a higher level of image feature extraction capability and prevent gradient disappearance or explosion. Attention Recovery Module is proposed to add spatial attention to the model. Channel Attention Module is introduced to extract relevant channels with dependencies and strengthen them by matrix dot product. Main results. Through test, evaluation index has improved significantly. Lits2017 and 3Dircadb are chosen as our experimental datasets. On the Dice Similarity Coefficient, RA V-Net exceeds U-Net 0.1107 in Lits2017, and 0.0754 in 3Dircadb. On the Jaccard Similarity Coefficient, RA V-Net exceeds U-Net 0.1214 in Lits2017, and 0.13 in 3Dircadb. Significance. Combined with all the innovations, the model performs brightly in liver segmentation without clear over-segmentation and under-segmentation. The edges of organs are sharpened considerably with high precision. The model we proposed provides a reliable basis for the surgeon to design the surgical plans.
A novel reversible fluorescent probe for Cu2+ and S2− ions and imaging in living cells
Authors: Cheng Shuaici , Sun Ran , Wu Zhuozhao , Mei Huihui , Yang Haocheng , Kong Qingqing , Xu Kuoxi 
Published: May 2022

Abstract
A novel fluorescent probe TSOC (thiazole salicylaldehyde oxazole chlorinated) was synthesized based on benzothiazole conjugated olefinic bonds with salicylicaldehyde unit as fluorophore and a phenyl oxazole unit as bonding unit. The probe could reversibly detect of Cu2+ and S2− over other common ions with longer emission and large stokes shift in an aqueous solution at pH 7.3 (DMSO-Hepes, v/v, 5:1, 10 mM). The bonding mechanism was supported through the titration experiment of fluorescence and absorption spectroscopy, 1H-NMR titration, HR-MS and DFT calculations. Moreover, the probe further exhibited good cell permeability and were successfully used to visualize Cu2+ and S2− in living cells.
Prediction of high-temperature flow stress of HMn64–8–5–1.5 manganese brass alloy based on modified Zerilli-Armstrong, Arrhenius and GWO-BPNN model
Authors: Liang Qiang , Zhang Xianming , Liu Xin , Li Yongliang 
Published: May 2022

Abstract
An accurate constitutive model is essential for designing the process of hot precision forging and numerical simulation. Based on the isothermal compression tests of as-extruded HMn64–8–5–15 manganese brass alloy at the deformation temperature of 873–1073 K and strain rate of 001–10 s−1, the effect of the friction and deformation temperature rise on the flow stress during the hot compression process was analyzed, and the flow stress curves were corrected. Three constitutive models based on the modified Zerilli-Armstrong, Arrhenius, and a back-propagation neural network (BPNN) optimized by the grey wolf optimization (GWO) algorithm (GWO-BPNN) models were established to describe the high-temperature flow stress of this alloy. Meanwhile, the prediction ability of the three models was evaluated by the calculated values of mean absolute percentage error (MAPE) and root mean square error (RMSE). The values of MAPE for the modified Zerilli-Armstrong, Arrhenius, and GWO-BPNN models were computed to be, 3139 %, 2448 % and 1265 %, and the values of RMSE were calculated to be 1804, 1482 and 0467 MPa, respectively. The GWO-BPNN model was with the greatest prediction ability for the flow stress among these models. The GWO algorithm was introduced to optimize the initial weights and thresholds of the BPNN model, and it has good prediction accuracy and better stability. It can better describe the high-temperature flow behavior of HMn64–8–5–15 alloy.
Molecularly imprinted polymer on roll-to-roll printed electrodes as a single use sensor for monitoring of cortisol in sweat
Authors: Gillan Liam , Jansson Elina 
Published: May 2022

Abstract
Cortisol is involved in regulating many human physiological functions, with cortisol imbalance capable of causing adverse mental and physical health conditions. Existing tools for monitoring of cortisol can assist in alerting the need for mediation strategies, but these typically require time consuming processes such as sample preparation followed by laboratory analysis. This work demonstrates a miniature flexible sensor patch incorporating electrode structures produced by high throughput roll-to-roll rotary screen-printing process, which are subsequently functionalized by electropolymerization of a polypyrrole/Prussian blue molecularly imprinted polymer for measuring cortisol by chronoamperometry. The developed single use sensor patch provides acceptable selectivity for cortisol and operates in artificial eccrine perspiration across a broad concentration range of 0.1–10 000 ng ml−1 (R
2 = 0.916). In the application of measuring thermally induced sweat, the sensor provided results in agreement with the natural circadian rhythm of fluctuating cortisol.
Distribution characteristics and prediction model of farmland soil organic carbon in eastern China
Authors: Liu Shutian , Xie Xiansheng , Wang Xiaochuan , Feng Xinxin , Hou Xianda , Wang Shuojin , Lin Keyu , Huang Mei , Jia Shugang , Hou Yanlin , Dou Sen 
Published: May 2022

Abstract
Soil organic carbon (SOC) plays a key role in soil improvement, carbon sequestration, and increasing crop yield. In this study, the distribution characteristics and the influence of hydrothermal conditions on farmland SOC content in eastern China were studied. The results showed that the spatial heterogeneity of SOC content in eastern China was obvious. In the area with the mean average temperature (MAT) below 10.42 °C, the SOC content was negatively correlated with MAT and ≥10 °C accumulated temperature, but positively correlated with the ratio of precipitation to temperature (P/T). In the area with the MAT between 10.42 °C and 20.75 °C, the SOC content was negatively correlated with mean average precipitation (MAP), MAT, P/T and ≥10 °C accumulated temperature. In the area with the MAT above 20.75 °C, the SOC content was negatively correlated with MAT and ≥10 °C accumulated temperature, but positively correlated with MAP and P/T. In the area with the MAP below 400 mm, the SOC content was negatively correlated with P/T, but positively correlated with MAP, MAT and ≥10 °C accumulated temperature. In the area with the MAP between 400 mm and 800 mm, the SOC content was negatively correlated with P/T, but positively correlated with MAT and ≥10 °C accumulated temperature. In the area with the MAP more than 800 mm, the SOC content was negatively correlated with MAP, MAT, P/T and ≥10 °C accumulated temperature. Based on the above results, a model for predicting SOC content was established. This is of great significance for the rapid estimation of SOC content on a regional large scale.