bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ergometrine stimulates histamine H 2 receptors in the isolated human atrium
Authors: Jacob Hannes , Braekow Pauline , Hofmann Britt , Kirchhefer Uwe , Forster Lisa , Mönnich Denise , Humphrys Laura J. , Pockes Steffen , Neumann Joachim , Gergs Ulrich 
Published: April 2023

Abstract
Introduction
Ergometrine (6aR,9R)-N-((S)-1-Hydroxypropan-2-yl)-7-methyl-4,6,6a,7,8,9-hexa-hydro-indolo-[4,3-fg]chinolin-9-carboxamide or lysergide acid β-ethanolamide or ergonovine) activates several types of serotonin and histamine receptors in the animal heart. We tested the hypotheses that ergometrine might activate human serotonin 5-HT4 receptors (h5-HT4R) and/or human histamine H2 receptors (hH2R) in the heart of transgenic mice and/or in the human isolated atrium.
Methods
Force of contraction or beating rates were studied in electrically stimulated left atrial or spontaneously beating right atrial preparations or spontaneously beating isolated retrogradely perfused hearts (Langendorff-set up) of mice with cardiac specific overexpression of the h5-HT4R (5-HT4-TG) or of mice with cardiac specific overexpression of the hH2R (H2-TG) or in electrically stimulated human right atrial preparations obtained during cardiac surgery. Western blots to assess phospholamban (PLB) phosphorylation on serine 16 were performed.
Results
Ergometrine exerted concentration- and time-dependent positive inotropic effects and positive chronotropic effects in atrial preparations starting at 0.3 µM and reaching a plateau at 10 µM in H2-TGs (n = 7). This was accompanied by an increase in PLB phosphorylation at serine 16. Ergometrine up 10 µM failed to increase force of contraction in left atrial preparations from 5-HT4-TGs (n = 5). 10 µM ergometrine increased the force of contraction in isolated retrogradely perfused spontaneously beating heart preparations (Langendorff set-up) from H2-TG but not 5-HT4-TG. In the presence of the phosphodiesterase inhibitor cilostamide (1 µM), 10 µM ergometrine exerted positive inotropic effects in isolated electrically stimulated human right atrial preparations, obtained during cardiac surgery, and these effects were attenuated by 10 µM of the H2R antagonist cimetidine but not by 10 µM of the 5-HT4R antagonist tropisetron. Furthermore, ergometrine showed binding to human histamine H2 receptors (at 100 µM and 1 mM) using HEK cells in a recombinant expression system (pKi < 4.5, n = 3).
Conclusion
Ergometrine is an agonist at cardiac human H2Rs.
Alteration in expression of pattern-recognition-receptors-signaling- pathways-related genes is associated with immune microenvironment and predicts clinical outcomes in bladder cancer
Authors: Qiu Yifeng , Li Biao , Huang Pengcheng , Xie Ming , Sun Qi , Zhou Zhipeng , Yu Yao , Wang Benlin , Xue Jingwen , Zhu Zhangrui , Feng Zhengyuan , Zhao Jie , Wu Peng 
Published: April 2023

Abstract
Background Although immune checkpoint inhibitors have been utilized to treat advanced bladder cancer, a considerable proportion of patients have resistance to anti-PD1/PD-L1 immunotherapy. Pattern recognition receptors (PRRs) are correlated with host anti-tumor immune response and tumor progression. This study was designed to investigate the impact of PRRs-related genes on tumor immune microenvironment and clinical outcomes of bladder cancer.
Methods We obtained transcriptome data and clinicopathological information of bladder cancer from TCGA database.Pattern-recognition-receptors-signaling-pathwaygene sets were downloaded from the official website of GSEA. Consensus clustering was employed to identify distinct subtypes based on the expression of the PRRs-related genes. CIBERSORT and ssGSEA analyses were employed to evaluate infiltration of various types of immune cellsin the tumor microenvironment. ESTIMATE algorithm was applied to assess intratumoral infiltration of stromal, immune cells and tumor purity. LASSO and stepwise regression analyses were employed to select the prognostic PRRs-related genes, and we constructed a risk model based on these genes via multivariate Cox regression analysis.
Results Two distinct subtypes were identified through consensus clustering. There was significant difference in clinical outcomes, infiltration of immune cells, expression of immune checkpoints and functional pathways between two subtypes. In addition, we identified 9 prognostic genes and constructed a prognostic risk model based on these genes. PRRs-related risk score was confirmed as an independent risk factor for OS of bladder cancer through multivariate Cox analysis.
Conclusions Expression of pattern-recognition-receptors-related genes is closely associated with immune microenvironment and clinical prognosis of bladder cancer.
CRISPR/Cas12a combined with RPA for detection of T. gondii in mice whole blood
Authors: Wang Xiaofeng , Cheng Miao , Yang Shuqi , Xing Chen , Li Qian , Zhu Yating , Ji Yongsheng , Du Yinan 
Published: April 2023

Abstract
Background： T. gondii is a protozoan that is opportunistic and ubiquitous in humans and animals. It can invade any human organ and cause severe diseases, including toxoplasma ophthalmopathy, meningoencephalitis, and liver necrosis. Porcine toxoplasmosis is prevalent in China. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and Cas (CRISPR Associated Protein) systems are widely used for gene editing and pathogen detection. CRISPR-based diagnostics are molecular assays that have been developed to detect parasites with high sensitivity and specificity.
Methods： This study aimed to establish a combined CRISPR/Cas12a and RPA rapid detection method for T. gondiiby targeting the B1 gene and 529bp repeat element (529 RE). The detection results could be visualized by fluorescence or lateral flow strips (LFS). The sensitivity and specificity of the method were evaluated, and T. gondii-infected mouse blood was used for detection.
Results： The results indicated that the established method for T. gondiidetection was satisfactory, with a detection limit of 1.5 cp/μl for the two loci. Moreover, the B1 gene could detect 1 tachyzoite per reaction, and the 529 RE could detect 0.1 tachyzoite per reaction, consistent with the highly sensitive nested polymerase chain reaction (PCR) results. The method was suitable for strains, including RH, and did not cross-react with other protozoa DNA with similar habits. The T. gondii-infected mouse blood samples were all positive for T. gondii at 1, 3, and 5 days post infection (dpi).
Conclusions： This study established a rapid, sensitive, and time-saving DNA detection method for T. gondii that has the potential to be an alternative tool for T. gondii detection in the field.
The Effect of Environmental Factors on the Stability of Commercial Chlorine-Based Sanitizers in Iran
Authors: Zazouli Mohammad Ali , Hashempour Yalda , Dashtban Nafiseh 
Published: April 2023

Abstract
Introduction: considering the increase in the use of Chlorine-based disinfectants and the questions about the shelf-life of chlorine in solutions, its persistence on the surface, etc., the present study investigated the effect of environmental factors on the stability of commercial solutions stored in different conditions.Materials and methods Three brands of commercial Chlorine-based sanitizers (Golrang, Active, and Tage) were tested. Stability of 0.05, 0.5, and 1% solutions with the pH of 5, 7.5, and 10 stored at 4°C, 25°C, and 45°C were assessed using iodometric titration in 0, 15, 30, and 60 days after preparation. 87 solutions were prepared based on Experimental Design and Response Surface Modeling (RSM) the utilization of Box-Behnken factorial design (BBD).Results Based on RSM and BBD, the effects of linear coefficients of all factors were significant (p < 0.05) and there were no statistically significant differences among the three brands (p = 0.307). There was a negative correlation between the free available chlorine and time. Solutions with a higher initial concentration (1%) tend to have lower stability compared with others. The temperature contributed to the instability of the solutions. There was a gradual decrease in the pH of all solutions over time. The lowest stability was seen in neutral pH (7.5).Conclusion Chlorine-based solutions under different storage conditions have different stability times. All factors affect the stability of chlorine in solutions. Therefore, environmental conditions must be considered when using chlorine solutions.
Geographical variation in Canarium indicum (Burseraceae) nut characteristics across Vanuatu
Authors: Grant Elektra , Macdonell Paul , Tungon Joseph , Tabi Michael , David May , Kaku Sammy , Page Tony 
Published: April 2023

Abstract
Tropical forests in the Pacific region contain many tree species that bear edible nuts (kernels). Canarium indicum (canarium) is an overstorey tree indigenous to Melanesia that produces commercially valuable kernels due to their pleasant taste and high oil content. This study characterises natural variation in fruit, nut-in-shell (NIS) and kernels of C. indicum across eight islands in Vanuatu. Significant tree-to-tree variation in fruit, NIS and kernel characteristics as well as kernel recovery (kernel:NIS) was found. This variation was largely due to tree-to-tree differences and little of this variation could be attributed to location. There were significant linear correlations among fruit, NIS and kernel traits, including kernel mass with fruit mass (R2 0.57) and kernel mass with NIS mass (R2 0.56). Therefore, trees suitable for cultivation may be screened based on fruit and nut characters before making final selections based on kernel mass. Trees sampled over two fruiting seasons showed that kernel mass and kernel number varied significantly between years for 63.6% and 25.9% of the trees respectively. However, those trees that produced larger kernels in the first year of sampling, tended to also produce relatively larger kernels in subsequent years by rank. These results have important implications for further domestication of the species for planting in commercial agroforestry systems.
Different phenotypic responses in the root of Vigna marina and Vigna luteola under salt stress
Authors: Wang Fanmiao , Iki Yurie , Tanoi Keitaro , Naito Ken 
Published: April 2023

Abstract
Some wild species in vigna genus are halophyte that have high potential in salt tolerance. V. marina and one accession of V. luteola have been previously identified as salt tolerant. However, the mechanisms remain elusive and studies on the phenotypic responses to salt can be a starting point for understanding salt tolerant mechanisms. Additional to salt accumulation and leaf chlorophyll fluorescence, this study evaluated root system architecture, including total root length, root surface area and root tip number, in response to salt. Results demonstrate 1) V. marina maintained total root length and surface area in salt stress; 2) V. marina grew more but shorter fine roots in salt stress; 3) The leaves of V. luteola-beach tolerated high Na concentration which severely damaged those of V. luteola-river, and such damage started from older leaf while it happened from younger leaf in V. luteola-beach. This is the first report on root architectural change in response to salt in Vigna genus. Our results suggest importance of studying relationship between root architecture and salt tolerance.
Cystic Presentation of Primary Hepatic Angiosarcoma
Authors: Chand Jithin T , Kumar Arun , Sebastian George M , Appukuttan Murali 
Published: April 2023

Abstract
Primary hepatic angiosarcoma is a rare malignancy arising from the endothelial cells. They account for 1% of all primary liver tumors. They are aggressive tumors and patients usually present with distant metastasis. Surgical resection is the mainstay of treatment, however recurrences are common. The overall survival of patient with hepatic angiosarcoma is only five months without any treatment. Addition of adjuvant chemotherapy with surgery seems to prolong the overall and disease-free survival. Their diagnostic dilemma is due to the fact of non-specific imaging findings mimicking other hypervascular liver tumors. Angiosarcomas are solid tumors arising from the endothelial cells. Cystic type of angiosarcomas are rare and those arising from the liver have not been reported. We are presenting a case report on a cystic primary hepatic angiosarcoma.
Hybrid Gray Wolf Optimization Method in Support Vector Regression Framework for Highly Precise Prediction of Remaining Useful Life of Lithium-ion Batteries
Authors: Zhang Mengyun , Wang Shunli , Xie Yanxin , Yang Xiao , Hao Xueyi , Fernandez Carlos 
Published: April 2023

AbstractThe prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of selecting the parameter kernel of the training data set of the RUL prediction model constructed based on the support vector regression model, an intelligent gray wolf optimization algorithm is introduced for optimization, and owing to the premature stagnation and multiple susceptibility to local optimum problems of the gray wolf algorithm, a differential evolution strategy is introduced to propose a hybrid gray wolf optimization algorithm based on differential evolution to enhance the original gray wolf optimization. The variance and choice operators of differential evolution are designed to sustaining the diversity of stocks, and then their crossover operations and selection operators are made to carry out global search to enhance the prediction of the model and realize exact forecast of the remaining lifetime. Experiments on the NASA lithium-ion battery dataset demonstrate the effectiveness of the proposed RUL prediction method. Empirical tests demonstrate that the maximum average absolute value error of the prediction of the fusion algorithm on the battery dataset is limited to within 1%, which reflects the high accuracy prediction capability and strong robustness.
Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions
Authors: Stoica Alexandru Stefan , Băbiceanu Daniel , Rebedea Traian , Mihăescu Marian Cristian 
Published: April 2023

Abstract
The problem of source code analysis using machine learning techniques has been gaining much attention recently as several powerful code embeddings methods have been created. Having available different embedding methods for source code opened the way for tackling many practical problems related to source code analysis. This paper addresses the issue of determining the number of distinct algorithmic strategies that may be found in a set of correct solutions for a competitive programming problem. We have investigated using five embedding methods with three algorithmic strategies in a data analysis pipeline that tackle the previously described issues on a newly created dataset consisting of 15 algorithmic problems. We propose an unsupervised algorithm that considers each embedding as a different dataset view. On each view, a hard clustering algorithm can be employed to split the correct solutions into K distinct algorithmic approaches, where K is a hyperparameter. In the ideal case, if all the algorithmic approaches in each view are determined correctly, a mapping could be done between each consecutive view such that each algorithmic approach from one view maps to a single corresponding algorithmic approach in the other. We are interested in determining the maximum subset of solutions that satisfy the assumption from above and use this subset as a base for a co-training procedure where an estimator employed on each view votes for the algorithmic approach of each solution which is not part of the subset. According to the results, the proposed unsupervised voting algorithm highly improves the baseline clustering approach. This improvement was observed across all problems in the dataset except one. Scale-up of the data analysis pipeline to datasets of thousands of problems may yield the ability to profoundly understand and learn about the innovative process of correctly designing and writing code in the context of competitive programming or even industry code.
River Flood Routing Using a Spatial Variable Exponent Parameter Nonlinear Muskingum Model and Sine Cosine Algorithm by Considering Lateral Flow
Authors: Atashi Vida , Barati Reza , Lim Yeo Howe 
Published: April 2023

Abstract
Due to advancements in optimization technology, numerous variable-parameter Muskingum models have been proposed in recent decades, aimed at enhancing the effectiveness of the Muskingum model. This study proposes a novel approach to river flood routing that employs a spatial variable exponent parameter nonlinear Muskingum model with lateral flow considerations. The proposed nonlinear Muskingum model with a variable exponent parameter considers spatial variations, in contrast to earlier studies that concentrated on modifying exponent parameters in response to variable inflow levels. The Muskingum parameters of the proposed model were estimated using an improved Sine Cosine Algorithm (SCA), which was applied to fit six previously reported flood hydrographs. The proposed method aims to minimize the Sum of Square Errors (SSE) between observed and routed outflows. The study demonstrates that by incorporating lateral inflows into the Muskingum model for Wilson, Linsley, and Viessman and Lewis flood data, two sub-reaches produce significantly better results. Conversely, for fitting flood data exhibited by Wye and Dinavar flood data, the three sub-reaches Muskingum model yields superior results. In the case of Lawler flood data, it is suggested that the traditional nonlinear model could be adequate, and there may be no need to incorporate sub-reaches, as the Sum of Square Errors (SSE) remains unchanged. Overall, the study provides a promising approach to addressing river flood routing problems.
Electric-field-caused Thermoelectric Effects of a Thin Films Made of a Single Conductive Material
Authors: Jiang Jiantang 
Published: April 2023

Abstract
It is generally believed that the Peltier effect and Seebeck effect could only be observed in a circuit made up of at least two dissimilar conductors; similar effects could never be observed in a circuit made up of a single material. In this paper, we propose a method to realize such thermoelectric effects in a circuit made up of a single conductor. In our model, an external electric field is applied to a part of a thin film made of a single metal, the external electric field changes the energy states of the free electrons in the electric-field-affected part, creating potential barriers between the electric-field-affected part and the unaffected parts. Our analysis shows that thermoelectric effects similar to the Peltier–Seebeck effect can also be observed in this model.
WheatLFANet: in-field detection and counting of wheat heads with hyper-real-time multidimensional mapping global regression network
Authors: Ye Jianxiong , Yu Zhenghong , Wang Yangxu , Lu Dunlu , Zhou Huabing 
Published: April 2023

Abstract
Background: Detection and counting of wheat heads are of crucial importance in the field of plant science, as they can be used for crop field management, yield prediction, and phenotype analysis. With the widespread application of computer vision technology in plant science, monitoring of automated high-throughput plant phenotyping platforms has become possible. Currently, many innovative methods and new technologies have been proposed that have made significant progress in the accuracy and robustness of wheat head recognition. Nevertheless, these methods are often built on high-performance computing devices and lack practicality. In resource-limited situations, these methods may not be effectively applied and deployed, thereby failing to meet the needs of practical applications.
Results: In our recent research on maize tassels, we proposed TasselLFANet, the most advanced neural network for detecting maize tassels. Building on this work, we have now developed a hyper-real-time lightweight neural network called WheatLFANet for wheat head detection. WheatLFANet features a more compact encoder-decoder structure and an effective multi-dimensional information mapping fusion strategy, allowing it to run efficiently on low-end devices while maintaining high accuracy and practicality. According to the evaluation report on the global wheat head detection dataset, WheatLFANet outperforms other state-of-the-art methods with an average precision AP of 0.900 and an R2 value of 0.949 between predicted values and ground truth values. Moreover, it runs significantly faster than all other methods by an order of magnitude.
Conclusions: Extensive experiments have shown that WheatLFANet exhibits better generalization ability than other state-of-the-art methods, and achieved a speed increase of an order of magnitude while maintaining accuracy. The success of this study demonstrates the feasibility of achieving real-time, lightweight detection of wheat heads on low-end devices, and also indicates the usefulness of simple yet powerful neural network designs.
Experimental study on the kinetics of magnesiohornblende dehydration and its implications
Authors: Han Kenan , Yi Li , Wang Duojun , Zhang Ruixin , Chen Peng 
Published: April 2023

Abstract
Magnesiohornblende dehydration was studied using both high-temperature thermogravimetric analysis and high-pressure differential thermal analysis (HP-DTA). The high-temperature thermogravi-metric analysis results revealed that magnesiohornblende dehydration at high temperatures could be divided into three steps: 848–1058, 1058–1243, and 1243–1473 K, and each step followed an n-order reaction (Fn). The dehydration process is characterized by an oxidation-dehydrogenation mechanism, and the dehydration of the last step can be explained as the direct decomposition of the hydroxyl groups connected to the magnesium ions. The HP-DTA of magnesiohornblende dehydration under pressures of 0.5, 1.0, 2.0, and 3.0 GPa revealed the occurrence of two endothermic peaks, indicating that the dehydration occurs in two steps at high temperature and pressure. Our experimental results reveal that during subduction, the fluid released during the dehydration of magnesiohornblende may trigger earthquakes and cause high electrical conductivity anomalies in the subduction zones.