bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification Of β-Glucan Polysaccharides In Hanjeli (Coix Lacryma Jobi) Using The Colorimetric Method
Authors: Mulyani Reni , mukmilah Lela 
Published: March 2023

Abstract
β-Glucan is a polysaccharide that the human body uses as a food fiber. Beta β-Glucan plays an important role in the human digestive process, slowing the rate at which food is digested. Hanjeli's β-Glucan content was investigated in this study (Coix lacryma jobi). Soft shell Hanjeli (Coix lacryma jobi var. ma-yuen) and hard shell Hanjeli were discovered (Coix lacryma jobi var. stenocarpa). Using Fourier-transform infrared spectroscopy, crude glucan solids from each Hanjeli variety were analyzed qualitatively for their functional groups (FTIR). The study's findings revealed that there is a specific structure of the -Dβ-Glucan compound at wave number 898 cm-1. The levels of β-Glucan in the hanjeli were analyzed using the Congo Red colorimetric method; the results of the analysis revealed that the β-Glucan levels in the hanjeli soft shell were 596,366 ppm (42% w/w), and in the hard shell hanjeli were 546,200 ppm (40.6% b/b). Hanjeli (Coix lacryma jobi) has good potential and prospects for development as a functional food because it contains an active compound β-Glucan, which functions as an immunomodulator, cholesterol lowering agent, and antioxidant.
WITHDRAWN: Investigation of Non-isolated Dual Inputstep-up Dc-dc Converter Using Sliding Mode Control for Ev Application
Authors: Subramaniyan J. , Balaji C. 
Published: March 2023

Abstract
This work investigates the design and implementation of a slide mode controller for a high step up dual input non-isolated dc-dc converter for Electric vehicle applications. The proposed high step up dual-input dc-dc non isolated converter comprises one inductor, one capacitor, two switches with anti parallel diodes, and two switches without diodes. The converter analysis is carried out using state space averaged model. The converter with the slide mode controller is analyzed by varying both the input voltage and the load. The performance characteristics of the proposed converter is compared against the conventional PID controller, and it is found that the high input step-up dual input dc-dc non-isolated converter with slide mode controller shows improved performance. The proposed converter is dynamic and exhibits a high-speed step-up conversion ratio. The slide mode controller is designed, analysed and it is simulated. The simulation results are validated by developing a prototype model. The proposed converter is simple in construction, highly reliable, and efficient. Further, the converter exhibits less input current ripple and low electromagnetic interference which makes it the best choice for Electric Vehicle applications.
Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Ankylosing spondylitis
Authors: Dong Tiantian , Li Xuhao , Lu Shiyou , Yang Jiguo , Liu Yuan-xiang 
Published: March 2023

Abstract
Background: Ankylosing spondylitis (AS) is a chronic inflammatory disease that mainly affects the axial skeleton. Meanwhile, copper is a mineral nutrient involved in cell proliferation and death pathways and has been observed in various diseases.
Methods: The purpose of this study was to identify potential new biomarkers of ankylosing spondylitis through biomarker analysis and explore its immune cell infiltration analysis. Gene expression profiles of GSE73754, GSE25101 and GSE18781 datasets were retrieved from the GEO database. Three machine learning algorithms, i.e., minimum absolute shrinkage and selection operator ( LASSO ), random forest ( RF ) and support vector machine recursive feature elimination ( SVM-RFE ), were used to screen cuprotosis-related genes ( CRGs ) of ankylosing spondylitis. Besides, ankylosing spondylitis specimens were classified using the consensus clustering method. The three machine learning results were intersected with the CRGs obtained by difference analysis and the differential CRGs obtained by clustering to obtain key genes. Additionally, the infiltration of immune cells was detected by ssGSEA, and the cuprotosis-related genes related to immune cells and immune function were detected by spearman correlation analysis. The nomogram model was established, and the accuracy of cuprotosis-related genes in predicting the development of AS disease was verified by external data sets.
Result: The two AS libraries in the GEO database were merged after removing the batch effect. Through the difference analysis, 6 CRGs were obtained, 9 CRGs were obtained by LASSO algorithm, 4 CRGs were obtained by SVM-RFE, and 13 CRGs were obtained by RF. It was also found by clustering the consistency of AS samples that they could be divided into 2 subtypes, and 5 CRGs were obtained as well. Finally, two key genes of SLC31A1 and PDHB were obtained by VENN intersection. The immune infiltration and GSEA analysis showed that PDHB had the strongest positive correlation with T cells CD8, followed by T cells CD4 memory resting, and had the strongest negative correlation with Neutrophils. Besides, SLC31A1 had the strongest positive correlation with NK cells resting and the strongest negative correlation with T cells CD8. By establishing a nomogram model, it was found that the two genes could better predict the development of AS, and the verification of the external data set GSE18781 indicated the stronger predictive ability of PDHB.
Conclusion: In summary, the present study revealed several newly discovered cuprotosis-related genes that interfered with the progression of ankylosing spondylitis through immune infiltration, and found the large research space of PDHB.
Establishment of a lipopolysaccharide-induced inflammation model of human fetal colon cells
Authors: YU KEQI , LIAO SHENGTAO , LI CHUANFEI , SONG YA , MEI ZHECHUAN , lin LV 
Published: March 2023

Abstract
AIM: To culture a human fetal colon (FHC) cell line in vitro and establish an FHC cell inflammation model that meets the requirements for high expression of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α).
Methods: FHC cells were cultured with various concentrations of Escherichia coli lipopolysaccharide (LPS) in appropriate media for 0.5, 1, 2, 4, 8, 16 and 24 h to stimulate an inflammatory reaction. The viability of FHC cells was detected by a Cell Counting Kit-8 (CCK-8) assay. The transcriptional levels of IL-6 and tumor necrosis factor-α and the protein expression changes in FHC cells were detected by PCR and ELISA, respectively. Appropriate stimulation conditions were selected (i.e., LPS concentration and treatment time), based on changes in cell survival rate, and IL-6 and TNF-α expression levels.
Results: An LPS concentration higher than 100 μg/mL or a treatment time longer than 24 h resulted in morphological changes and decreased cell survival. By contrast, expression levels of IL-6 and TNF-α significantly increased within 24 h when LPS concentration lower than 100 μg/mL and peaked at 2 h, whilst maintaining cell morphology and viability in FHC cells.
Conclusion: The treatment of FHC cells with 100 μg/mL LPS within 24h was optimal. was optimal in terms of stimulating IL-6 and TNF-α expression.
Relapse EBV-HLH and ANKL in an 8-Year-Old Patient:a Case report
Authors: Huang Cheng shuang , Le Qu , Huang Jia , Sun Shu wen , Zhou Yan 
Published: March 2023

Abstract
Background:
Hemophagocytic Lymphohistiocytosis (HLH) often arises as a hematologic complication of acute and chronic diseases. Identification of underlying disease is crucial for determining HLH prognosis. The global incidence of aggressive natural killer cell leukemia (ANKL), which is rare, aggressive, and lacks a distinctive immunophenotypic or molecular hallmark characteristic, is much rarer in children. Approximately 60–90% of ANKL co-occurs with HLH. The diagnosis of HLH may ignore the presence of ANKL. Therefore, identifying and treating ANKL in children with HLH is difficult.
Case presentation:
The case reports an 8-year-old male initially diagnosed with EBV-HLH and consented to the HLH-2004 regimen, but EBV-HLH returned. We found that the NK cell fraction increased in EBV-HLH. Finally, peripheral blood flow cytometry (FCM) was performed to diagnose ANKL. We strengthened the L-DEP regimen for EBV-HLH with methylprednisolone; and the SMILE regimen for ANKL. After haplo-HSCT, the patient endured for more than four years.
Conclusions:
It serves as a reminder that the increased NK cell fraction is an important clue for identifying ANKL in EBV-HLH; peripheral blood FCM is superior to bone marrow and other tissue sites with restricted laboratory testing for the diagnosis of ANKL.
FOXO3a Negatively Regulates miR-155-5p Expression to impact the proliferation and invasion of Renal Cell Carcinoma
Authors: Wan Rui , Chen Li , Bai Peide , Huang Haichao , Wang Xuegang , Wu Zhun , Sun Anran , Shao Zhiqiang , Chen Yuedong , Wang Huiqiang , Chen Bin , Xing Jinchun , Wang Tao 
Published: March 2023

Abstract
The development of targeted therapy and biotherapy drug resistance is the major barrier in terminal Renal Cell Carcinoma (RCC) therapy. Emerging evidence revealed that FOXO3a could be regulated to suppress RCC. In this study, the regulatory mechanism of FOXO3a on miR-155 and their specific effects in the development of RCC were investigated. We found that FOXO3a was down-regulated in RCC tissues and cell lines, whereas miR-155-5p was highly expressed. Furthermore, the expression of FOXO3a was negatively correlated to miR-155-5p, while FOXO3a was clinically correlated with TNM stages and lymphatic metastasis. The mechanism study showed that FOXO3a transcriptionally regulates miR-155-5p expression by binding to the miR-155 Host gene promoter to regulate the biosynthesis of pre-miR-155. In addition, FOXO3a suppressed the proliferation and migration of RCC cells by regulating miR-155-5p expression. In searching for the downstream targets of miR-155-5p, we found that miR-155-5p suppressed the expression of DUSP-14. Furthermore, FOXO3a up-regulated DUSP-14 expression by down-regulating miR-155-5p. The findings suggest that FOXO3a negatively regulates miR-155-5p expression to impact the proliferation and invasion of renal cell carcinoma.
Clinicopathologic Characteristics of Second Primary Squamous Cell Carcinoma in Patients with Nasopharyngeal Carcinoma after Intensity-modulated Radiotherapy
Authors: Wang Xi , Wang Shunlan , Cao Yang , Li Chunqiao , Fang Caishan , He Weiping , Guo Zhuming 
Published: March 2023

Abstract
Objective
To compare the clinicopathologic characteristics of second primary squamous cell carcinoma (SPSCC) in patients with nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy (IMRT) with that after radiotherapy (RT).
Methods
From 49,021 patients with NPC who treated by definitive RT, we were able to identify 15 male patients with SPSCC after IMRT, and 23 male patients with SPSCC after RT. We examined the difference between groups.
Results
In IMRT group, 50.33% developed SPSCC within 3 years, whereas 56.52% developed SPSCC after more than 10 years in RT group. Receiving IMRT was related positively to an increased risk of SPSCC (HR = 4.25; P < 0.001). There was no significant correlation between receiving IMRT and the survival of SPSCC (P = 0.051).
Conclusion
Receiving IMRT was related positively to an increased risk of SPSCC, and the latency was much shorter. A follow-up protocol, especially in the first three years, should be designed for NPC patients with IMRT.
Precipitation Nowcasting using CNN-RNN - Use case: North of Algeria
Authors: HACHEMI Hayat , HAMDAD Leila , DOUBA Oussama 
Published: March 2023

Abstract
Precipitation nowcasting is very important to secure individuals and property against adverse events that may be triggered, as well as to optimize the management of water resources and so-called weather-sensitive economic activities. Achieving effective temporal and spatial nowcasting resolution poses additional challenges to the meteorological community due to the chaotic dynamics that characterize the atmosphere as well as the spatio-temporal variability of this phenomenon. In this work, we aim to use deep learning architectures as Convolutional Neural Network or/and Recurrent Neural Network for the prediction of precipitation to better capture the spatio-temporal variability of meteorological data which are complex. We are particularly interested in rainfall data from northeastern Algeria, where the previously prediction was based on Numerical Weather Prediction. Two types of meteorological data will be used. Firstly, we predict precipitations on synoptic data and secondly, we predict precipitation using synoptic data and previous numerical predicted data obtained by Numerical Weather Prediction. The results were evaluated according to several metrics and a comparison between different approaches was conducted showing the effectiveness of Deep Learning in this field.
APT Encrypted Traffic Detection Method based on Two-Parties and Multi-Session for IoT
Authors: Xu Junfeng , Lin Weiguo , Fan Wenqing , Sun Yunchuan 
Published: March 2023

Abstract
The rise of IoT devices has led to an increase in network endpoints, making Advanced Persistent Threat (APT) attacks a significant concern. APT attacks typically use encrypted communication protocols, making traditional detection methods less effective. Machine learning-based APT encrypted traffic detection methods have been proposed but are limited in their efficacy. In this paper, we propose a novel APT encrypted traffic detection method based on two parties and multi-session analysis. The method extracts a limited set of features from network traffic, including session sequence, session time interval, upstream and downstream data size, which are then transformed into images. These images are subsequently fed into a convolutional neural network (CNN) to recognize patterns and identify network traffic. The proposed method was evaluated through five experiments, demonstrating significant success in detecting APT attacks. The use of multi-session analysis provided a comprehensive view of network traffic, enabling more accurate APT attack detection. The proposed method offers potential for deployment in enterprise security, with implications for the development of more effective APT detection methods.
ALG13 as a prognostic biomarker of prostate cancer associated with tumor immune infiltration and mediated by upstream ncRNA
Authors: Xiao Maolin , Xiao Yunfeng , Liu Wanlan , Xiao Xiao , Yang Zongke 
Published: March 2023

Abstract
Asparagine-linked glycosylation 13 (ALG13) is a highly conserved protein in most eukaryotes, which belongs to the OTU family. It plays a role in neuroblastoma and non-small cell lung cancer. However, the role of ALG13 in prostate cancer (Pca) and its correlation with tumor-infiltrating immune cells remain unclear. Thus, in this study, we extracted and analyzed The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Tumor Immune Estimation Resource (TIMER), and Human Protein Atlas (HPA) data sets to study the potential carcinogenic mechanism of ALG13, including ALG13 expression, prognosis and the correlation of ALG13 expression in immune cell infiltration in Pca. Furthermore, the potential biological signaling pathway of ALG13 in Pca was studied by using Gene set enrichment analysis (GSEA). Upstream microRNA and lncRNA related to ALG13 were found through the prediction of miRWalk and starBase. Results showed that ALG13 was highly expressed in Pca tissues and associated with poor overall survival (OS) and disease-specific survival (DSS). ALG13 expression was correlated with immune cell infiltration. In addition, ALG13 was co-expressed with most immune-related genes, and the high-expression of ALG13 was effective for immune-checkpoint blockade treatment. ALG13 may regulate the pathogenesis of Pca through tumor and immune-related pathways. Finally, AL390728.6/hsa-miR-381-3p axis is considered as a potential upstream ncRNA-related pathway of ALG13 in Pca. Our results demonstrate that the ncRNA-mediated upregulation of ALG13 is associated with poor OS in Prostate adenocarcinoma (PRAD) and tumor immune infiltration. ALG13 may be a new potential prognostic biomarker.
­­­Sense of time is slower following exhaustive cycling exercise
Authors: Moore Andrew , Olson Maddie 
Published: March 2023

Abstract

Subjective perception of time is altered during vigorous exercise. This could be due in part to the fatigue associated with physical activity at high intensities. The aim of this study was to determine the effect of fatigue, specifically, on subjective time perception. Twenty-six healthy, untrained subjects (17 men/9 women; age = 26.0 ± 4.3 years; V̇O2peak = 38.13 ± 5.62 mL/kg/min) completed a maximal aerobic exercise test on a cycle ergometer. Time perception was assessed before (PRE) and after (POST) the exercise test using a time production task. Relative error of the timing task was significantly higher for POST (0.112 ± 0.260) than for PRE (0.028 ± 0.173),p = .032,η2 = .178. Subjects produced ~ 8.4% more time than the target intervals when fatigued, which is indicative of a slower sense of time perception. A shift in attentional focus from timing to the sensations associated with fatigue is a possible factor to explain this result. Future studies which investigate the effects of exercise on time perception should consider the impact of fatigue experienced during exercise.
An operational matrix method based on scalingfunction of Daubechies wavelet to solve stochastic differential equations
Authors: Shariati Nasim Madah , Yaghouti Mohammadreza , Alipanah Amjad 
Published: March 2023

Abstract
In our joint work, by introducing Quasi Block-Pulse (QBP) functions,we provide integration and stochastic integration operational matricesbased on scaling function of Daubechies wavelet to solve linear and nonlinearstochastic differential equations. Due to interesting properties of theDaubechies wavelet such as orthogonality, compactly support and vanishingmoments, these operational matrices have good properties. The convergenceof the proposed method is presented and in order to verify the accuracy of theproposed method some numerical examples are provided.
Advanced Chemical leaching process of Wadi El Dakhal silica sand to produce a high concentration of SiO 2 for electronic industry
Authors: Mohamed Gaber , Hamed Tamer , Fathy Mahmoud 
Published: March 2023

Abstract
Silica sand used in the manufacture of glass, ceramic and porcelain, as well as the high grade SiO2 used in silicon chips, fiberglass and optical lenses, white cement, foundry sand, filters, detergents and pesticides. Egypt possesses a large quantity of silica sand located in Sinai and along the Red sea coast: Zafarana area (Wadi El Dakhal) with SiO2 ranging from 98.60 to 99.00%. This research aims to contribute and increase the added value to the raw silica sand by chemical leaching process to produce high content of SiO2.The evaluation technique of studied silica sand samples includes XRF, XRD, Sieve analysis, physical properties measuring and chemical leaching process using different acids. The leaching process with HCl, (HCl & H2SO4), (HCl, HF, HNO3), [HCl, HF and (COOH)2 ] acids were conducted to beneficiate the raw silica sand and achieve a very good results of SiO2. Wet sieve analysis was completed before chemical leaching to remove fine particles less than 200 um which include clay minerals. The loose of fine particles percent (< 200 um) is around 0.4% from the original silica sand weight. The obtained results indicate upgrading the SiO2 content from 98.60 to 99.99%, and XRD shows the mineral is composed mainly of quartz.
Adoption and Technical Efficiency of Organic and Fair-Trade Cashew Production in Benin (West Africa)
Authors: Zoundji Gérard C. , Vodouhe Fifanou , Houngbèmè Joël-Franck D. , Yabi Jacob A. 
Published: March 2023

Abstract
As a result of many environmental and health problems related to the use of chemicals, but also due to their marginalization on the international market, some small producers in Africa; particularly in Benin (West Africa) have embarked on the fair-trade, organic production of cashew nuts to meet the ever-increasing global demand. This research identifies factors determining the adoption of fair-trade organic cashew and estimates producers’ technical level efficiency in central Benin. Two-stage random sampling was used to select 160 cashew producers. The study used the student’s “t” test, logistic regression and the method based on stochastic frontiers of type production Cobb-Douglas function to assess data collected from the research sample. Results revealed that sex, field size, cotton production and producer’s secondary activities have negative effects on organic cashew fair-trade adoption while the number of agricultural assets, experience in cashew production, land access and frequency of contacts with extension services positively affect organic cashew fair-trade adoption. The average efficiency indices of organic fair-trade producers is 0.63, suggesting that they are not technically efficient and there are possibilities for improving their production systems using their existing resources.
Electrochemical performance enhancement of LiNi0.6Co0.2Mn0.2O2 at high cut-off voltage by aluminum-doped polypyrrole coating
Authors: Li Mingqi , Yu Chunpeng , Li Ying , Zhang Xueqian , Zhang Ruijin , Nan Quanhui , Zhu Mingyuan , Jin Hongming , Li Wenxian , Zhang Jiujun 
Published: March 2023

Abstract
LiNi0.6Co0.2Mn0.2O2 (NCM622) is a kind of high nickel ternary cathode materials for lithium-ion batteries with high energy density and high discharge platform. However, the insufficient electron/ion conductivities and corrosion of hydrofluoric acid has limited its practical usage. In overcoming the challenges, it is particularly important to find a method that can improve both electronic and ionic conductivities of such a material. In this study, aluminum (Al)-doped polypyrrole (Al@PPy) is used to coat NCM to improve its rate and cycling performance. Compared with the uncoated NCM, Al@PPy-NCM has more electron/ion transport channels and much better cycling stability. It has an initial capacity of 224.3 mAh/g at a current density of 20 mA/g, and a capacity retention rate is 91.6 % after 100 cycles in voltage range of 3.0~4.5 V. At a current density of 200 mA/g, the initial capacity can still be 185.1 mAh/g, and the capacity retention rate can maintain 88.1 % after 200 cycles.