bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validated Rp-Hplc Method For Quantification Of Teriflunomide In Solid-Lipid Nanoparticles (Sln’s): Application To Determine Drug Loading(%Dl), Drug Entrapment Efficiency(%Dee) And In-Vitro Release Studies
Authors: Sowmya Avula , Sastri K Trideva , P.R HemanthVikram , Beeraka Narasimha M , Tengli Anandkumar , Bidye Durgesh , Gupta Vishal Kumar 
Published: December 2022

Abstract
Background: Poor solubility of teriflunomide leading to poor bioavailability in disease conditions was a challenge that could be overcome by currently formulated SLNs. Hence, the development of a sensitive, accurate method for solid-lipid nanoparticles carrying teriflunomide is significantly required to analyze and quantify the drug in formulation and drug release samples. The main aim of this study is to develop a simple, linear, precise, accurate, and sensitive RP-HPLC with a UV detection method that has been developed and validated for the determination of teriflunomide in SLNs and other marketed formulations. Application of the same to determine %drug loading, %drug entrapment efficiency (DEE), and quantification of drug release studies.
Materials and Methods: Method optimization was carried out by using the various parameters (different Mobile phases with varying pH and Columns). The chromatographic separation was carried out by using Shim-pack GIST C18 (4.6 x 100mm, 5 µm) column, with a 70:30 v/v ratio, potassium dihydrogen phosphate, and acetonitrile make up the mobile phase, column temperature of 50˚C with 10min runtime and injection volume 10µL with flow rate 1.5mL/min. The effluent was detected by using a UV detector at 250nm.
Results and Discussion: Developed analytical method has a linearity range between 1-64µg/ml and a correlation coefficient (R2) value of 0.996. The limit of detection (LOD) of 0.98 µg/ml and the Limit of quantification (LOQ) of 1.05µg/ml with a % recovery of 98.2% and drug entrapment efficiency (DEE) was found to be 88.95.
Conclusion: In this study, a simple, accurate, sensitive, and repeatable RP-HPLC method was developed for the quantification of teriflunomide in SLNs.The developed method was validated according to ICH Q2 (R1) guidelines and the Developed method was found to be accurate, linear, robust, and precise Developed analytical method was applied for determining drug release, %drug loading, and drug entrapment efficiency (DEE).
A prognostic risk model of rectal cancer miRNA based on cuproptosis related genes
Authors: Tang Yubao , Zhang Qiang , Tang Xiaofei , Zhong Jianping , Tang Zhijie , Xu Ran , Zhu Yunxiang 
Published: December 2022

Abstract
Aims: To screen and select cuproptosis microRNAs (miRNAs) correlated with rectal adenocarcinoma prognosis, and further explore their translational applications, by bioinformatic methods.
Methods: Find differentially expressed cuproptosis miRNA between rectal cancer and normal tissue from public databases, then build up a prognostic risk model and further select specific miRNA by Cox regression and Lasso regression with corresponding clinical data. As for differentially expressed genes (DEGs), we combine immune-stromal score results from corresponding websites and the expression spectrum of rectal malignancies to select DEGs. Furthermore, we choose common DEGs by creating intersections for high- and low-risk group and perform functional enrichment analysis.
Results: We find 5 cuproptosis related miRNA with statistical significance, namely hsa-mir-4254, hsa-mir-4698, hsa-mir-548ba, hsa-mir-567 and hsa-mir-8079. And by immune correlation analysis, we found 2 differentially expressed genes, TSPAN32 and TENM2.
Conclusion: Those differentially expressed genes found in this study could provide potential therapeutic targets and markers for assessing the prognosis of rectal adenocarcinoma.
Sensitive and Rapid Sensing of Dimetridazole in Food and Environmental Samples Using a Water-Stable Luminescent Zwitterionic Cd(Ⅱ) Metal-Organic Framework
Authors: Wang Kaimin , Dong Yanqiu , Zhao Xiong , Duan Keyan , Zhao Ruiting , Ye Yanqing , Guo Jinrong , Pan Hao , Tang Huaijun , Ma Yulu 
Published: December 2022

Abstract
Dimetridazole (DTZ) is such a significant indicator in food safety assessment that a high priority should be given to it. In this work, a novel three-dimensional Metal-Organic Framework zwitterionic composite, {[CdL2]·Cl2·6H2O} (MOF 1), was synthesized by hydrothermal method and applied as a fluorescence probe for the detection of DTZ. Several crucial factors of the obtained MOF 1, such as structure stability, fluorescence properties, selectivity, sensitivity and reproducibility, were studied in detail. A series of sensing investigations demonstrate extremely specific and ultrafast detection of DTZ via a conspicuous fluorescence quenching (Ksv=8.1374 × 104 M− 1) from MOF 1 under the optimized conditions. The linear range for quantitative detection of DTZ was 0.0 µM ~ 40.0 µM with a low limit of detection of 0.012 µM. The fluorescence quenching mechanisms have been explained, being caused by a combination of both competitive absorption and photoinduced electron transfer. DTZ in milk, honey, tap and lake water were successfully determined by this fluorescence probe with quick response, and the recovery rates are 97.4%∼102.6%, which indicates MOF 1 having a tremendous application prospect in the detection of DTZ in food and environmental samples.
Computational Study of RNA-based Buckyballs Performance in Drug Delivery Process: Molecular Dynamics Approach
Authors: Bahreini Maziar 
Published: December 2022

Abstract
The drug delivery is the process of administering a pharmaceutical compound to achieve a therapeutic effect in humans/animals. In current computational research, the Molecular Dynamic Simulation (MD) method implemented to describe the RNA-based buckyballs performance in drug delivery process of Atropine molecules (as target drug). Current MD simulations done in two main steps. Firstly, temperature and potential energy convergence shows physical stability of modeled RNA- buckyballs in aqueous environment. These parameters converged to 300 K and 20.15 kcal/mol at standard condition, respectively. Furthermore, drug delivery process detected in RNA-based samples after 5.22 ns. Numerically, the drug release ratio converged to 81.18% which this numeric output shows promising performance of designed RNA-based buckyballs as drug deliverer system. Structurally, Atropine molecules diffused symmetrically inside simulation box. This atomic evolution of defined compounds arises from the symmetrical release of the target drug via drug deliverer sample. So, described performance of RNA-based buckyballs shows these modeled nanostructures can be used in actual applications for various treatment procedures.
Efficient Synthesis of New Azoimino-sulfathiazole and Considering Their Antibacterial, Antioxidant and Cytotoxic Activities
Authors: Amouee Fatemeh , Mahmoodi Nosrat O. , Nyaki Hadiseh Yazdani , Ahmadi Ali 
Published: December 2022

Abstract
Sulfonamides are important compounds that have special applications in pharmacy due to their antibacterial and anti-parasitic properties and are known as sulfa-drugs. One of the most important drugs is sulfathiazole. This drug has many uses in the treatment of diseases. In this research, the hybrid reaction between sulfathiazole and various azo compounds was performed via the imine bond. Here, nine new azoiminosulfathiazoles were synthesized, while compound 5g was designed in such a way that two sulfathiazole units were linked by an azo linker. The structure of the newly synthesized hybrid molecules after separation and purification was examined and confirmed by TLC, M.P, FT-IR, 1H NMR, and 13C NMR, and their cytotoxicity was evaluated via MTT assay. Evaluation of antibacterial and antioxidant and anticancer again (PC-3) human prostate line cells using MTT assay properties also showed acceptable results. Comparing 5g with penicillin as a standard drug with the aura of non-growth of bacteria (31 mm) in the presence of Staphylococcus aureus (27 mm) and in the presence of E.coli bacteria showed that it has the best antibacterial properties. Also, evidence shows that some compounds have more effective antibacterial activity than penicillin.
A mosquito vector control model based on incompatible and sterile insect techniques
Authors: Liu Yunfeng , Wang Lin , Yu Jianshe 
Published: December 2022

Abstract
Recent successful field trials have demonstrated that combining incompatible insect technique and sterile insect technique becomes promising and feasible for mosquito vector control. In this paper, by considering wild mosquito population consisting of Wolbachia-infected mosquitoesand regular uninfected individuals, we formulate a mathematical model to explore feasible releasing strategies of sterile male mosquitoes for mosquito vector control. Specifically, we study how often, and in what amount, should sterile mosquitoes be released, so that the entire wild mosquito population either becomes extinct or is replaced by Wolbachia-infected mosquitoes. We identify several key thresholds related to releasing amount r and the waiting period T. These thresholds allow us to derive necessary and sufficient conditions on the existence anduniqueness of semi-trivial periodic solution and establish some global stability results. These results provide useful insights on designing practical releasing strategies for mosquito vectorcontrol and eradication of mosquito-borne infectious diseases.
Equity and efficiency of public maternal and child health institution’ health resource allocation in Henan Province, China
Authors: Feng Yifei , Jiang Rui , Wu Jvxiao , He Yilin , Zhao Lipei , Guo Xinghong , Wu Jian 
Published: December 2022

Abstract
Background
Henan Province is the third largest population province in China. This study aims to evaluate the equity, efficiency and productivity of maternal and child health (MCH) resource allocation in Henan Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.
Methods
Data sources were from the Henan Statistical Yearbook (2017–2021) and Henan Annual Monitoring Report of Public Hospitals (2016–2020). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Henan Province. Correlation analysis and cluster analvsis were used to determine the input and output indexes. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation. Tobit Regression Model was used to explore the influence factors of efficiency.
Results
From 2016 to 2020, the G of beds, health technicians and government financial subsidies in Henan Province remained below 0.3 according to population and geographical allocation, but the fairness of beds and health technicians was better than that of government finance, and the fairness of population allocation was better than that of geographical allocation. The results of T show that inequality mainly comes from intra-regional differences, and the Central Urban Agglomeration (CUA) contributes the most to the overall difference. Although the HRDI of CUA is much larger than that of other regions, there are obvious differences among cities in the region. During 2016 to 2020, less than half of the cities in Henan are DEA efficient each year, and health technicians, building business room area, and the number of are outpatients external factors that affect efficiency.
Conclusion
The overall fairness of MCH resources allocation is good but the efficiency is low. The fairness of beds and health technicians are better than that of government financial subsidies, and the fairness of population allocation is better than that of geographical allocation. In addition, there are obvious regional differences in the geographical distribution of health resources. Henan Province needs to further optimize the allocation of resources and improve utilization efficiency.
Single Image Dehazing using Extended Local Dark Channel Prior
Authors: Dwivedi Pulkit , Chakraborty Soumendu 
Published: December 2022

Abstract
Image dehazing is an important technique aimed at eliminating the haze in the atmosphere to enhance the image's visual quality. There are many applications where it has been used as a prepossessing step, such as in event detection. In recent years, the dark channel prior methodology has been recognised as an effective approach for eliminating haze from hazy images. However, the main drawback of the existing dark channel prior methodology is that it only considers a single color channel of the RGB image with pixels having minimum intensity values. This non-uniform selection of the dark channel from a single channel eradicates the effect of the transmission across the different channels of the hazy image. Hence, the haze cannot be removed to a great extent using the existing method. So, here we propose an approach where the dark channel will be computed from all three channels of an image by selecting the minimum intensity. The main advantage of using the proposed prior-based methodology for image dehazing over deep neural network-based models such as CNN or GANs is that training deep models requires a large amount of training data, thus resulting in a longer training time. Experimental outcomes exhibit that the proposed technique outperforms state-of-the-art methods on synthetic datasets as well as real-world hazy images. The findings demonstrate that the proposed technique obtains better accuracy as compared to the state-of-the-art methods and recent deep learning-based models over the D-HAZY, I-HAZE, and O-HAZE databases.
Effect of carbide slag combined with biochar on improving acidic soil of copper sulfide mines
Authors: Han Huaqin , Xue Jinchun , Zhang Xiao , Wang Xiaojuan , Huang Jiaxing , Dai Xun 
Published: December 2022

Abstract

Heavy metal-rich acidic soils of copper sulfide mines can easily cause harm to the surrounding environment and ecosystem safety if not treated properly. Currently, the most common method of mine ecological remediation is to improve acidic soils of copper sulfide mines by adding different types of amendments. In this paper, different dosages of biochar and carbide slag applied singly and in combination were designed to investigate the changes of physicochemical properties and ryegrass growth in acidic soil of copper sulfide mines. Through soil incubation experiments and potting tests, different treatments explored the improvement effect of carbide slag combined with biochar on acidic soil of copper sulfide mines. Then, it was found that 2% (w/w) carbide slag in combination with 10% (w/w) biochar had the best effect on the improvement of copper sulfide mine acidic soil. Among them, carbide slag significantly increased the pH, cation exchange capacity (CEC) and acid neutralization capacity (ANC), and reduced the electrical conductivity (EC), net acid generation (NAG) and sulfate ion (SO42−) concentrations in the acidic soil of copper sulfide mines; biochar obviously reduced the bio-effectiveness of heavy metals Cu, Pb and Zn. Apart from that, there was a positive cooperativity between carbide slag and biochar, and their application effectively controlled the acidification process and heavy metal toxicity in the acidic soil of copper sulfide mines. In summary, the results will provide a theoretical basis for the large-scale reclamation of carbide slag and biochar in improving acidic soils of copper sulfide mines.
Application of myocardial contrast-enhanced ultrasound in heart transplantation in patients with acute myocardial infarction：A case report
Authors: Liao Xiaozu , Guo Miaoyun , Zhong Shi , Wen Junlin , Li Binfei 
Published: December 2022

Abstract
Background: MCE is a safe and effective myocardial perfusion assessment technique; it is used for the assessment of post MI viability.
Case presentation: A 52-year-old male with cardiogenic shock caused by secondary acute myocardial infarction and successful coronary stent implantation with ECMO, IABP and ventilator assistance and with no significant recovery of postoperative cardiac function. The result of MCE was also reported. The allograft was successfully performed 8 days after ECMO-assisted support. The patient was successfully transferred to the general ward 8 days after surgery and successfully discharged on day 86 of admission.
Conclusions: ECMO provides effective mechanical assistance support for patients with end-stage heart failure, buys time for heart transplantation surgery, and was an effective cardiopulmonary support treatment. An evaluation of myocardial perfusion and survival quantity was an important reference for emergency heart transplantation.
A Revised Adaptive Network-based Fuzzy Inference System Combined with Neural Network to Predict Diabetes
Authors: Wang Xi , Yu Jianlin , Li Zhenhao , Hu Jianzheng , Sun ChengLin , He Lili , Bai Hongtao 
Published: December 2022

Abstract

Today, neural network models are widely used to predict whether a person will develop diabetes in the future. However, for fuzzy inference engine and Adaptive Network-based Fuzzy Inference System (ANFIS), it costs a lot when the number of features is large, and the model will be more explainable if we use feature selection methods. In this paper, we modify the ANFIS model, combine ANFIS and neural network, and propose the ANFIS-NN model. We use SMOTE to address the imbalance between different classes, and use RFE and Casual Inference to do feature selection work. Then, we train an ANFIS model, and use a 5-layer neural network to replace the last layers to improve prediction accuracy. Data comparison experiments shows that our models get 0.9812 on accuracy, 0.9790 on G-mean, 0.9776 on F1 score on PIMA dataset using Casual Inference feature selection method, much better than traditional ANFIS; and our model works better on other diabetes datasets. The ANFIS-NN proposed in this paper can also be applied to other datasets to predict diabetes.
Cellulose Microspheres as Controlled Release Carriers for Fertilizer
Authors: Balang Joshua Blucha , Tay Kimberly Wei-Wei , Chin Suk-Fun , Wasli Mohd Effendi , Musa Zaki , Chen Yi-Chun 
Published: December 2022

Abstract
Background

Cellulose fibers extracted from printed paper wastes are utilized to synthesize spherical cellulose microspheres via water-in-oil microemulsion and precipitation methods. Span 80 was used as a surfactant and acetic acid as a precipitating agent in the microemulsion and precipitation process to obtain cellulose microspheres. The effects of synthesis conditions such as cellulose concentrations and drying techniques were observed to have profound effects on the surface morphology, particle sizes, and surface area of cellulose microspheres produced.

Results

Spherical cellulose microspheres with particle sizes ranging from 5.2 to 9.3 µm were synthesized. Increasing cellulose concentrations led to larger particle sizes. Among various kinds of drying techniques, freeze-drying is the most preferable method in obtaining better yields and yet, larger cellulose microspheres. The potential applications of the synthesized cellulose microspheres as controlled-release carriers for fertilizer in various soil types were evaluated. The larger size of cellulose microspheres have a smaller specific surface area, but with higher loading capacities and slower urea release.

Conclusions

Our studies showed that the loading capacity and release profiles of urea could be tailored by modulating the mean particle sizes of the cellulose microspheres. Hence, cellulose microspheres have the potential to be utilized as fertilizer-controlled release carriers.
Plasmodium falciparum Kelch13 polymorphisms identified after treatment failure with artemisinin- based combination therapy in Niger
Authors: Arzika Ibrahima Issa , Lobo Neil , Lamine Mahaman Moustapha , Tidjani Ilagouma Amadou , Houze Sandrine , Hubert Véronique , Mahamadou Boubacar , Adehossi Eric , Sarr Demba , Mahmud Ousman , Laminou Ibrahim Maman 
Published: December 2022

Abstract
Background: Artemisinin-based combination therapy (ACT) is the most effective treatment for malaria, and has significantly reduced morbimortality. Polymorphisms associated with the Plasmodium falciparum kelch gene (Pfkelch13) propeller domains have been associated with delayed parasite clearance even with ACT treatment.
Methods: The Pfkelch13gene was sequenced from P. falciparum infected patients (n=159) with uncomplicated malaria in Niger.An adequate clinical and parasitological response (ACPR) was reported in 155 patients. Four (n=4) patients had treatment failure (TF) that were not reinfections - two of which had late parasitological failures (LPF) and two had late clinical failures (LCF).
Results: Thirteen single nucleotide polymorphisms (SNPs) were identified of which eight were non synonymous (NSY) (C469R, T508S, S515T, A578S, I465V, I437V, E506L, N197D), and five were synonymous (SY) (H298H, H385H, P443P, P715P, L514L).
Six SNP (C469R, H298H, E506L, N197D, H385H, P715P) were present before ACT treatment, while seven mutations (C469R, T508S, S515T, L514L, P443P, I437V, I465V) were selected by Artemether lumefantrine (AL) - five of which were non synonymous (C469R, T508S, S515T, I437V, I465V). Artesunate amodiaquine (ASAQ) has selected any mutation.
One sample presented three cumulatively non-synonymous SNPs - C469R, T508S, S515T.
This study demonstrates intra host selection of Pfkelch13 gene NS by AL.
Conclusions: The study highlights the importance of LCF and LPF parasites in the selection of resistance to ACT. Further studies using gene editing are required to confirm the potential implication of resistance to ACT with the most common S515T and T508S mutations. It would also be important to elucidate the role of cumulative mutations.
GenBank accession numbers: MZ364160, MZ364-213
Impacts of DNA methylases and demethylases on the methylation and expression of Arabidopsis ethylene signal pathway genes
Authors: Jiang Yan , Zhang Shengwei , Chen Kun , Xia Xue , Tao Bingqing , Kong Weiwen 
Published: December 2022

Abstract
Arabidopsis ethylene (ET) signal pathway plays important roles in various aspects. Cytosine DNA methylation is significant in controlling gene expression in plants. Here, we analyzed the bisulfite sequencing and mRNA sequencing data from Arabidopsis (de)methylase mutants met1, cmt3, drm1/2, ddm1, ros1-4, and rdd to investigate how DNA (de)methylases influence the DNA methylation and expression of Arabidopsis ET pathway genes. At least 32 genes are found to involved in Arabidopsis ET pathway by text mining. Among them, 14 genes are unmethylated or methylated with very low levels. ACS6 and ACS9 are conspicuously methylated within their upstream regions. The other 16 genes are predominantly methylated at the CG sites within gene body regions in wild-type plants, and mutation of MET1 resulted in almost entire elimination of the CG methylations. In addition, CG methylations within some genes are jointly maintained by MET1 and other (de)methylases. Analyses of mRNA-seq data indicated that some ET pathway genes were differentially expressed between wild-type and diverse mutants. PDF1.2, the marker gene of ET signal pathway, was found being regulated indirectly by the methylases. 82 transposable elements (TEs) were identified to be associated to 15 ET pathway genes. ACS11 is found located in a heterochromatin region that contains 57 TEs, indicating its specific expression and regulation. Together, our results suggest that DNA (de)methylases are implicated in the regulation of CG methylation within gene body regions and transcriptional activity of some ET pathway genes, and that maintenance of normal CG methylation is essential for ET pathway in Arabidopsis.