bluuebunny/crossref_metadata_2025_split huggingface dataset:
An in-silico approach of assessments of human serotonin transporter inhibitory potential of various flavonoids for anti-depressants: molecular docking, MM-GBSA, molecular dynamics simulation studies
Authors: Nagarajan Sudhakar , Jeyabalan Srikanth , Dhanasekaran Sivaraman , Sekar Mahendran , Wong Ling Shing , B Logeshwari , Ashok Chetan 
Published: August 2023

Abstract
Depression is one of the typical CNS disorders. Millions of people suffer from depression, a chronic illness with economic consequences. Tricyclic antidepressants, selective dopamine reuptake inhibitors, selective norepinephrine reuptake inhibitors, and selective serotonin reuptake inhibitors are only few of the antidepressants that can used to treat depression. The main target of therapeutic activity is known to be the serotonin transporter (SERT) against depressants. In this article, various flavonoids were found with conditions of pharmacological activity and were designed by molecular docking, MM-GBSA and molecular dynamics (MD) Simulation studies for the treatment of depressants activity. The docking of ligands performed against depressant with protein of human serotonin transporter (SERT) PDB-ID:5I6X are performed by using Glide module, in silico ADMET screening by QikProp module, binding energy using Prime MMGB/SA module, MD simulation by Desmond module and atomic charges were derived by Jaguar module of Schrodinger suite 2021-1. Compounds with top binding affinity using extra precision in glide recorded as (-16.25) when compared to standard FDA approved drug Fluoxetine (-8.711) which were proposed for anti-depressant action. The residues PHE 335, TYR 95, ALA 96, PHE 341, VAL 501, TRP 103, TYR 175, ALA 169, GLY 338 of SERT Play a crucial role as binding pocket of ligands. The in-silico ADMET properties of the molecules were within the recommended values. The binding free energy was calculated using PRIME MM-GB/SA studies. Compound with top binding affinity of flavonoids was subjected to MD simulation at 100 ns to study the dynamic behavior of protein–ligand complex.
Third Trimester Serum Amino Acid Metabolism is Associated with Maternal Breast Cancer Diagnosed within 15 years of Pregnancy
Authors: Teeny Sami , Jarrell Zachery R. , Krigbaum Nickilou Y. , Cirillo Piera M. , Go Young-Mi , Cohn Barbara A. , Jones Dean P. 
Published: August 2023

Abstract
A prospective metabolome-wide association study revealed widespread amino acid limitation in late pregnancy is associated with early onset breast cancer. Archival third trimester pregnancy serum samples from 172 women who subsequently were diagnosed with breast cancer within 38 years after pregnancy were compared to 351 women without breast cancer. No individual metabolite differed after false discovery rate adjustment, indicating that individual metabolites are unlikely to be useful for classification or prediction. Despite this, pathway enrichment analysis showed that amino acid pathways, including lysine, arginine, proline, aspartate, asparagine, alanine, tyrosine, tryptophan, histidine, branched-chain amino acid and urea cycle, were enriched among metabolites that differed at raw p < 0.05. Several of these pathways previously were linked to breast carcinogen exposures, including dichlorodiphenyltrichloroethane and perfluorinated alkyl substances. Network analyses showed that amino acids correlated with parity and the ratio of estriol to estrone and estradiol known risk factors for breast cancer in this cohort. Overall, amino acid associations were stronger for early onset breast cancer, defined here as occurring within the first 15 years following pregnancy. Although results must be interpreted cautiously, lower amino acid concentrations for histidine, threonine and proline, and stronger associations for tryptophan, histidine, and lysine pathways with breast cancer within 15 years, suggests that amino acid limitations during late pregnancy contribute to metabolic reprogramming that is causally related to early onset breast cancer. Environmental chemical effects on nutrient sensing could account for these effects through known oncogenic mechanisms linked to nutrient stress.
Uncommon Presentations of Type A Quadricuspid Aortic Valve in the Septuagenarian
Authors: Choi Perry , Paulsen Michael , Lin Yihan , Moskalik William , Ji Angela , Burton Elan , Woo Y , Burdon Thomas 
Published: August 2023

Abstract
Background:
Quadricuspid aortic valve (QAV) is a rare congenital anomaly characterized by the presence of four cusps instead of the usual three. It is estimated to occur in less than 0.05% of the population, with Type A (four equal-sized leaflets) accounting for roughly 30% of QAV subtypes. Based on limited clinical series, the usual presentation is progressive aortic valve regurgitation (AR) with symptoms occurring in the fourth to sixth decade of life. Severe aortic valve stenosis (AS) and acute AR are very uncommon.
Case Presentation:
We describe two cases of Type A QAV in patients who remained asymptomatic until their seventies with very uncommon presentations: one with severe AS and one with acute, severe AR and flail leaflet. In Case A, a 72-year-old patient presents to clinic with progressive exertional dyspnea, and pre-operative computed tomography angiogram (CTA) reveals a quadricuspid aortic valve with severe AS. Although transcatheter option is considered, surgical aortic valve replacement is chosen due to poor femoral access and severe left carotid stenosis. Post-operative transesophageal echocardiography (TEE) shows good prosthetic valve function with no gradient or regurgitation. In Case B, a 76-year-old patient is intubated upon arrival to the hospital for acute desaturation, found to have wide open AR on catheterization, and transferred for emergent intervention. Intraoperative TEE reveals QAV with flail leaflet and severe AR. Repair is considered but deferred ultimately due to emergent nature. Post-operative TTE demonstrates good prosthetic valve function with no regurgitation and normal biventricular function.
Conclusions:
QAV can present as progressive severe AS and acute AR, with symptoms first occurring in the seventh decade of life. The optimal treatment for QAV remains uncertain. Although aortic valve repair or transcatheter option may be feasible in some patients, aortic valve replacement remains a tenable option.
Hypoxia-induced LncRNA CTD-2510F5.4 facilitates hepatocellular carcinoma cell proliferation and invasion, predicts prognosis, tumor microenvironment, and drug efficacy in patients with hepatocellular carcinoma
Authors: Abulihaiti Zulipiya , Li Weihong , Yang Liangyu , Zhang Haihang , Du Ainong , Tang Ni , Zeng Jiangzheng 
Published: August 2023

Abstract
Purpose
Hypoxia induces abnormal expression of various long non-coding RNAs (LncRNAs) highly correlated with tumorigenesis. In this study, we identified CTD-2510F5.4, a hypoxia-induced LncRNA, based on microarray and TCGA analyses, and evaluated its impact on HCC prognosis, tumor microenvironment (TME), and drug efficacy.
Methods
We cultured Huh7 cells in a hypoxic chamber and detected CTD-2510F5.4 expression levels using RT-PCR analysis. Then we tested the effects of CTD-2510F5.4 overexpression on cell proliferation, invasion, and metastasis potential using CCK8, wound-healing, and transwell assays, respectively. We performed GO and Guilt-by-Association (GBA) correlation analysis to predict CTD-2510F5.4 functions. Besides, mutation signature, immune characteristics, and therapeutic response prediction between high- and low-CTD-2510F5.4 groups were further compared.
Results
Our results showed that CTD-2510F5.4 expression markedly increased under hypoxia and significantly promoted HCC cell proliferation, invasion, and metastasis. Functional enrichment analyses revealed that CTD-2510F5.4 is involved in cell proliferation and various tumor-related signaling pathways, including cell cycle, E2F targets, G2M checkpoint, and MYC targets V1. Patients with high CTD-2510F5.4 expression rates are preferentially associated with worse prognosis, higher TP53 mutation rates, higher infiltration by immune-suppressive regulatory cells, expressed immune checkpoints at elevated levels, and higher TIDE scores. The half-maximal inhibitory concentration (IC50) indicated that patients with low CTD-2510F5.4 expression are more responsive to immunotherapy and antiangiogenic targeted therapy, whereas those with high CTD-2510F5.4 expression are more sensitive to chemotherapy.
Conclusion
Our findings suggest that CTD-2510F5.4 could be a valuable biomarker for guiding the personalized treatment of HCC patients.
Solutions of fractional differential equations using power series method and Sumudu transform
Authors: Zhang Qunli 
Published: August 2023

Abstract
An analytic function can be approximated by its corresponding power series. The advantage of the Sumudu transform is to turn differential equations into algebraic equations. Combining the power series method with the Sumudu transform, the approximation solutions of the fractional differential equations are studied. Several numerical examples show the better, efficient and high accurate results by utilizing the proposed approach.
2020 MSC: O175.11
Practical application of modern extracurricular painting landscape art to promote environmental protection
Authors: Tan Li , Zheng Qiaolin 
Published: August 2023

Abstract
On the basis of the original capsule network, the pre-convolution structure is firstly introduced to extract high-level features of the mural image; secondly, the fitting performance of the model is enhanced by adding uniform layer activation; finally, the adaptability of the capsule network is enhanced, on the basis of improving the gradient smoothness Optimization using adaptive learning rate improves the classification accuracy of the model. An art style painting classification algorithm based on information entropy is proposed. First, seven representative landscape art painting styles are selected as the research objects, and the images are preprocessed such as denoising and normalization. Secondly, extract the style characteristics of painting artworks, obtain the color entropy, block entropy and contour entropy of the image respectively, and combine them to form the information entropy of different painting styles. When the information entropy is obtained, the color space is converted into the Lab color space, and the color entropy of the image is obtained through the color values of the a and b channels and the weighting function; the information entropy of the block is obtained by dividing the information entropy of the landscape art image The mean value is used to obtain the block entropy; through the Contourlet transformation, the contour information of the landscape art image is obtained to obtain the contour entropy. Next, combine the extracted color entropy, block entropy, and contour entropy, and use support vector machine (SVM) to learn and train artistic style images to obtain a classification model of artistic painting style; SVM classification recognition obtains the final classification result.
A Comprehensive Survey of Techniques Used for Part-of-Speech Tagging of Code-Mixed Social Media Text
Authors: Sunita Sunita , Kumar Ajit , Neetika Neetika 
Published: August 2023

Abstract
Part-of-speech tagging faces unique difficulties when dealing with code-mixed social media text, which combines multiple languages in informal content created by users. In India, many web users employ a mixture of regional languages and English on platforms like Facebook, Instagram, and WhatsApp to express their messages and emotions. Text derived from social media is used in a variety of applications, such as speech recognition, machine learning, information retrieval, question answering, sentiment analysis, and named entity recognition. Due to training with monolingual texts, natural language processing tools such as part-of-speech taggers and parsers don't perform well. Assigning grammatical labels to individual words (such as verbs, adjectives, and nouns) is a critical task in natural language processing. This review paper extensively surveys the existing literature on part-of-speech tagging specifically developed for Indian and Foreign code-mixed social media text. We examine and categorize the approaches utilized in prior studies, taking into account the diverse techniques and methodologies employed to handle the complexities of code-mixed data. These approaches encompass rule-based methods, statistical models, and deep learning techniques such as recurrent neural networks and transformers. To enable comprehensive analysis, we compare and evaluate the performance of various state-of-the-art code-mixed part-of-speech taggers using benchmark datasets. We discuss the evaluation metrics used in these studies. Lastly, we explore the challenges introduced by noisy and informal language commonly found in code-mixed social media text. This review paper serves as a valuable resource for researchers and practitioners seeking to understand the current state of the art in code-mixed part-of-speech tagging for social media text. It offers insights into the strengths and weaknesses of existing approaches, identifies research gaps, and proposes potential avenues for future research to advance the field.
Temperature Distribution of Blood Flow Through W-Shaped Tapered Stenosis Artery
Authors: Srivast Rashmi , Mishra Swati 
Published: August 2023

Abstract
The blood flow through w-shaped tapered artery in the presence of catheter is discussed. The equations governing the fluid flow have been solved analytically under the assumption of the mild stenosis. The blood flow behavior through the w-shaped stenosed artery is considered using the Prandlt fluid model and the flow of blood is considered as suspension of nano-particles. The analysis with respect to various parameters arising out of fluid and geometry considered, on temperature distribution of the w-shaped stenosis as well as across the entire length of the stenosis has been reported. Heat transfer phenomena have been examined for the physical features of the flow of blood through a stenosed artery, which is tapered in shape and with the presence of a clot. The temperature profile has been discussed with graphs for several different parameters of clot size, stenosis height, heat source, and sink parameter. It is observed that in converging tapering the temperature provides greater values as estimated together with the non-tapered arteries and diverging tapering arteries
Textural Attributes and Lithofacies Analysis of Quaternary Geomorphic Surfaces in Middle Ganga Plain, India
Authors: Singh S. , Chaubey K. , Kanhaiya S. , Yadav S.K. , Singh P. 
Published: August 2023

Abstract

Geomorphic surfaces of the Ganga plain are depositional surfaces, and the succession of sediment deposited on their top is younger than the time of the formation of the relevant surface. The relative timing of their deposition is recognized based on their morphological interrelationship and order of superposition. In the middle Ganga plain, three geomorphic surfaces are well-developed. The oldest geomorphic surface (T2), formed by sheet flow processes during monsoon season, consists of silt, sandy silt, and silty sand. Sediments are poorly to very poorly sorted, very fine skewed to fine skewed, and kurtosis ranges from leptokurtic to platykurtic. The Ganga River is incised into the T1surface up to 4–8 m in the study area; T1,also known as the river valley terrace, is incised into the T2surface exposing cliffs of 8 to 20 m heights. T1surface representing older sediments of active channels is characterized by rippled and cross-bedded silt, sand, and lensoid units of silty mud. Mean grain size ranges from very fine sand to medium silt; sediments are poorly to moderately sorted, Skewness ranges from very fine skewed to fine skewed, and kurtosis ranges from very leptokurtic, leptokurtic, and mesokurtic. The T0surface is the youngest geomorphic surface of the Ganga basin representing river channels and their associated flood plains. The Ganga River shows varied channel patterns, from meandering to braided and straight channels. Channels carry medium sand to very fine silt; sorting is very poorly to poorly sorted, Skewness is very fine skewed to fine skewed, and kurtosis ranges from leptokurtic, mesokurtic, and platykurtic.
WITHDRAWN: Establishment of regeneration system from leaves wrapped by bud scales of Neolamarckia cadamba in the wild
Authors: Li Buye , Que Qingmin , Li Chunmei , Zhou Wei , Zhong Tianxiu , Chen Xiaoyang , Zhang Lifeng , Wang Rui , Xu Qixian , Chen Wenping , Zhong Ming , Huang Xiaoling , Ouyang Kunxi 
Published: August 2023

Abstract

Neolamarckia cadamba is an evergreen tree species growing fast, with not only good wood properties, but also great value in medicine, feeding and landscape. In order to clone an excellent genotype individual of N. cadamba, the plant regeneration protocol was successfully established with leaves wrapped by bud scales in the wild as explants. The optimal sterilization method for the leaves was 0.1% HgCl2 treatment for 1 min before culturing on Murashige and Skoog’s (MS) medium supplemented with 3.0 mg/L thidiazuron (TDZ), 0.1 mg/L 2–4 dichlorophenoxyacetic acid (2-4D) and 0.05 mg/L α-naphthaleneacetic (NAA) acid to induce calluses. Additionally, the medium supplemented with 1 mL/L PPM could effectively inhibit the medium contamination without an unfavorable influence on the final induction rate of calluses from the leaves. Three types of calluses were induced from the leaves cultured on the above medium. Among them, only the emerald callus with bud points on its surface could differentiate into adventitious shoots on the MS medium supplemented with 1.5 mg/L 6–benzylaminopurine (6-BA) and 0.05 mg/L NAA, with the induction rate of 78.89%. The adventitious shoots were proliferated on the MS medium supplemented with 1.0 mg/L 6-BA and 0.05 mg/L indole-3- butyric acid (IBA). And the micro-shoots developed roots in the MS medium supplemented with 0.05 mg/L NAA and 0.05 mg/L IBA. The regeneration protocol can be used in the propagation and large scale production of seedlings with the same genotype as an excellent individual of N. cadamba in the wild.
CENPF as a Potential Biomarker Associated with the immune microenvironment of renal cancer
Authors: Chen Meilin , Tang Xiuxin , Liang YanPing , Ding Tangdang , He Meifang , Wang Dong , Wang Ruizhi 
Published: August 2023

Abstract
Purpose:
Our objective is to explore potential biomarkers of renal cancer and their function in tumor progession.
Methods:
We integrated data from the TCGA database, including Kidney Chromophobe(KICH), Kidney renal papillary cell carcinoma(KIRP), and Kidney renal clear cell carcinoma(KIRC), to identify the widespread differentially expressed genes. Molecular Complex Detection (MCODE) was then utilized to screen the most important module among the upregulated genes. Further, univariate and multivariate Cox regression analyses were performed on the hub genes. The results demonstrated that Centromere Protein F(CENPF) overexpression was significantly associated with a worse survival in KIRC patients. To validate the overexpression of CENPF, we conducted qPCR analysis on tissues and plasma samples from KIRC patients. we observedthat patients with high expression of CENPF had a poorer prognosis based on KIRC TCGA data. Through single-cell sequencing analysis of KIRC patients in GSE159115, we found that CENPF is predominantly expressed in the T cell cluster. Finally, we used CIBERSORT to analyze the differences in composition of tumor immune infiltrating cell (TIIC) between KIRC patients exhibiting high and low expression of CENPF.
Results:
1. We screen out CENPA, Centromere Protein M(CENPM), Centromere Protein U(CENPU), Centromere Protein E(CENPE), and CENPF as key oncogenic genes upregulated in KIRC, KICH, and KIRP.
2. We found that CENPF expression was significantly associated with KIRC progression.
3. We observed a T-cell sub-cluster that exhibited high expression of CENPF.
4. CENPF displayed a significant negative correlation with resting mast cells, while it exhibited a positive correlation with follicular helper T-cells and memory-activated CD4 T-cells.
5. Prognostic analysis revealed that patients with high expression of follicular helper T-cells had poorer prognosis, while those with high expression of plasma cells had a better prognosis.
Conclusion:
CENPF is upregulated and modulates the immune microenvironment in KIRC.
Adaptive Approximation of Persistent Homology
Authors: Herick Maria , Joachim Michael , Vahrenhold Jan 
Published: August 2023

Abstract

We study an important preprocessing step for the efficient calculation of persistent homology: coarsening a set of points while controlling the quality of the induced persistence diagram. This coarsening step is instrumental in reducing the overall runtime of state-of-the-art algorithms such as Ripser, GUDHI, or PHAT. For this, we adaptively sparsify the set of points and carefully define a dissimilarity function between the remaining points. This function takes into account local properties given by a separate function defined on the point set as well as the relation of the removed points to the subsample. It is then used to build simplicial filtrations and calculate their persistent homology. We assess the quality of our approach both theoretically by proving topological approximation guarantees and empirically by using the bottleneck distance. Since our subsample is calculated adaptively, we also prove adaptive properties of our result. Our results show that we can significantly reduce the size of the point sample with only very moderate bottleneck distance to the ground truth; in particular, we still are able to capture the salient topological features of the input through our approximated persistence diagrams.
Laboratory investigation of shear strength of pond ash using polymeric and natural fibre geosynthetic as reinforcement materials
Authors: Pradhan Sujit Kumar , Pothal Goutanm Kumar 
Published: August 2023

Abstract
Polymeric geogrid and woven Coir geotextiles has been considered as an appropriate substitute to geosynthetics for reinforcement because of the better engineering properties. It is generally used for reinforcement of pond ash which can be used in place of soil having lower bearing capacity that will reduce the scarcity of the natural soil, also decrease the cost of construction. In this study, pond ash such as coarse (CP) and Fine (FP) pond ash reinforced with two types of polymeric geogrid (RBG and FBG) and two types of woven coir geotextile (WCG1 and WCG2) were used. Triaxial testing performed on sample of size 100 mm x 200 mm on pond ash reinforced with polymeric geogrid and woven Coir geotextiles having variables such as confining pressure (25 kPa, 50 kPa, 100 kPa and 200 kPa) and number of reinforcement layers (Single, double and triple layer). The results shows that strength of the reinforced models increased significantly with inclusion of reinforcement. With the finer pond ash type, both WCG1 and WCG2 type of coir geotextile showed mixed result with single layer of reinforcement, whereas with multiple layers of reinforcement it was the WCG2 type which showed better results. The strength of reinforced pond ash increased with increase in the confining pressure and number of reinforcement layers. FP generally showed higher strength ratio than that of CP with all the types of reinforcements at high confining pressure except with some coir geotextiles. The coarser pond ash type CP generally showed higher strength ratio than the finer pond ash type FP with polymeric geogrid type FBG at low confining pressures (25 kPa to 100 kPa) with multiple layers of reinforcements.