bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancement of thermal stability and insulation properties of cellulose composites insulating paper by the first introduction of polyimide fiber
Authors: Wei Wenchang , Zhang Yiyi , Chen Haiqiang , Xu Chuqi , Nie Shuangxi , Zha Junwei 
Published: April 2023

Abstract
Traditional inefficient "tentative" trial and error experiments are difficult to rapidly and efficiently prepare synthetic fiber/cellulose composites with high thermal stability and strong insulation properties because the direct scientific theory or simulation guidance is insufficient. In this paper, PI fiber is the first time introduced to cellulose insulating paper. The mechanical, thermal stability, and dielectric properties of PI/cellulose composite insulating paper are predicted by molecular dynamics (MD) simulation. The composite insulating papers with the corresponding content of PI fiber were prepared and their thermal stability, mechanical properties, and electrical properties were investigated. Relative to the pure cellulose insulating paper, the 6% PI/cellulose insulating paper is the most representative, its tensile strength increased by 26.24%, the glass transition temperature increased from 113.4 to 124.7 K, permittivity decreased from 4.22 to 3.25, the dielectric loss decreased by 58.33% at 50 Hz, and the breakdown strength increased by 30.35%. This work confirms the effectiveness of MD simulation to rapidly guide the preparation of the new composite insulating paper, which can provide a reference for the future expansion and development of synthetic fiber in the preparation of cellulose insulating paper, and proves that PI fiber can enhance the thermal stability and insulation properties of cellulose insulating paper.
Stereotactic Radiosurgery for Cranial and Spinal Hemangioblastomas: a Single-institution Retrospective Series
Authors: Yoo Kelly H. , Park David J. , Marianayagam Neelan J. , Gu Xuejun , Pollom Erqi , Soltys Scott G. , Chang Steven D. , Meola Antonio 
Published: April 2023

Abstract
Introduction
Stereotactic radiosurgery (SRS) has been an attractive treatment modality for both cranial and spinal hemangioblastomas, especially for multiple lesions commonly associated with von Hippel-Lindau (VHL) disease. This study aims to provide the largest long-term analysis of treatment efficacy and adverse effects of SRS for cranial and spinal hemangioblastomas at a single institution.
Methods
We evaluated the clinical and radiological outcomes of patients with hemangioblastomas treated with CyberKnife SRS at our institute from 1998 to 2022. The follow-up data were available for 135 hemangioblastomas in 35 patients. Twenty-eight patients had 123 hemangioblastomas associated with VHL and 7 had 12 sporadic hemangioblastomas. The median age was 36 years and the median tumor volume accounted for 0.4 cc. The SRS was administered with the median single-fraction equivalent dose (SFED) of 18 Gy to the 77% median isodose line.
Results
At a median follow-up of 57 months (range: 3-260), only 20 (16.2%) of the VHL-associated and 1 (8.3%) sporadic hemangioblastomas progressed. The 5-year local tumor control (LTC) rate was 91.3% for all hemangioblastomas, 91.7% among the sporadic lesions, and 92.9% in VHL patients. SRS improved tumor-associated symptoms of 98 (74.8%) of 131 symptomatic hemangioblastomas, including headache, neck pain, dizziness, visual disturbances, dysesthesia, ataxia, motor impairment, seizures, and dysphagia. Two patients developed radiation necrosis (5.7%) and 1 of them required surgical resection.
Conclusion
SRS is a safe and effective treatment option for patients with hemangioblastomas in critical locations such as the brainstem, cervicomedullary junction, and spinal cord, and in patients with multiple hemangioblastomas associated with VHL disease.
Stress control and coping in patients with type 2 diabetes: An interventional study based on the Lazarus' Transactional model
Authors: Miraki Mohamdreza , Nasirzadeh Mostafa , sayadi Ahmadreza , Abdolkarimi Mahdi 
Published: April 2023

Abstract
Background: One of the effective factors in preventing the complications of diabetes is stress management. The purpose of this study is to evaluate the effect of intervention based on Lazarus' Transactional model on the level of stress in patients with type 2 diabetes.
Materials and Methods: this quasi-experiment study was done among 80 patients with type 2 diabetes. Stress level, coping methods and hemoglobin A1C were evaluated before and three month after the intervention. In the intervention group, based on the strategies predicted in the model, five training sessions were held. The data were analyzed by using paired t-test, student's t-test, Analysis of Variance and Pearson's correlation coefficient.
Results: In the studied population, there was no significant relationship between stress level and demographic characteristics. Independent t-test showed that the stress score after the intervention was significantly lower in the intervention group (P<0.001. (there was no significant difference in the HbA1c in the groups after intervention ( P=0.66( , However, in the intervention group, the amount of hemoglobin A1c showed a significant decrease compared to before the intervention. The use of effective coping strategies increased in the intervention group (p<0.05).
Conclusion: The present study showed that training and intervention to use coping approaches using Lazarus' Transactional model of stress and adaptation can be effective in controlling and reducing stress in patients with type 2 diabetes.
Numerical treatment via the spectral collocation method for Casson-Williamson nanofluid flow due to a stretching sheet with slip conditions
Authors: Khader M. M. , Babatin M. M. , Megahed Ahmed 
Published: April 2023

Abstract
The main goal of the research is to investigate the effects of temperature and concentration slip on the MHD Casson-Williamson nanofluid flow through a porous sheet, with a focus on viscous dissipation. This research has a novel approach, as it seeks to incorporate various factors that have not been previously studied in this context. Moreover, an inclined magnetic field from the outside is applied to the stretched surface. Besides this, it is considered that the viscosity of nanofluids depends on temperature while all other physical characteristics are taken to be constant. It is hypothesized that the expanding surface that stretched exponentially is what caused the flow motions of the nanofluid. There are several engineering applications for this type of study, which is based on MHD non-Newtonian nanofluid flow across a stretched surface with heat generation and viscous dissipation. They include solar energy storage, energy distribution, chemical reactors, and the manufacturing of polymers. To examine the heat transmission and mass transfer rates, tools like thermophoresis and Brownian motion were implemented. The flow problem is formally represented as a set of nonlinear PDEs that are then, through the use of dimensionless variables, converted into a set of ODEs. To numerically obtain the solution to the problem, the shifted Chebyshev polynomials of the third-kind approximation along with the spectral collocation technique are utilized. This process transforms the existing model into an algebraic equation system that was created as a restricted optimization problem, which is then optimized to obtain the solution and the unknown coefficients. For a variety of pertinent parameter values, the graphic and tabular representations of the concentration, temperature, velocities, rate of heat mass transfer, and shear stresses of nano-fluids at the surface of the sheet are shown. Finally, there is a remarkable amount of agreement between the earlier investigation and the comparison research that was conducted. The results indicate that an increase in the magnetic parameter, Casson parameter, viscosity parameter, and suction parameter causes a reduction in both the velocity and boundary layer thickness. In addition, as the viscosity parameter, Casson parameter, and magnetic parameter increase, both the concentration and temperature exhibit an increase in their values.
MSC 2010: 41A30; 65N12; 65M60; 76F12.
A Novel Transfer Extreme Learning Machine from Multiple Sources for Intrusion Detection
Authors: Wang Kunpeng , Li Jingmei , Wu Weifei 
Published: April 2023

Abstract
Intrusion detection systems (IDSs), as a technology to protect networks from attacks, play a pivotal role in ensuring computer system and network security. Machine learning has been widely used for intrusion detection and achieves good results. Machine learning-based intrusion detection technology requires a large number of labeled data training models, test data and training data to create independent and identical distributions. However, in reality, data distributions are difficult to make consistent, and there are problems such as low detection accuracy, slow model establishment and the need for a large quantity of labor and time cost labeled samples when faced with small samples and new attack behaviors. In response to the above issues, this paper proposes, MultiTLELM, a multisource migration limit learning machine algorithm for network intrusion detection. The algorithm utilizes the multisource migration learning idea to quickly build a high-quality target learning model by migrating knowledge from multiple auxiliary domains (source domains), assisting in labeling target domains that are insufficient or difficult to obtain. MultiTLELM simultaneously adapts the differences in the marginal probability distribution and conditional probability distribution between domain data, improves the classification performance by integrating multisource migration learning into a limit learning machine and improves the detection efficiency by utilizing the fast solving speed of the limit learning machine optimization algorithm. Experiments were conducted on the NSL-KDD, KDD99 and ISCX2012 datasets. The experimental results show that the proposed method improves detection accuracy and efficiency compared to the benchmark algorithm, and also adapts to different intrusion types and attack modes.
Diverse high-order soliton solutions and novel hybrid behaviors for the (2+1)-dimensional KP-BBM equation
Authors: Huang Jing Jie , Tan Wei , Wang Xiao Ming 
Published: April 2023

Abstract
This paper is devoted to investigate the high-order soliton solutions and some hybrid behaviors between them in the (2+1)-dimensional KP-BBM equation. Firstly, we obtain a new lump solution by studying the degenerate behavior of breathers. Secondly, we focus on studying the N-soliton solutions, high-order breathers, and high-order lump solutions by using the long-wave limit method. Some novel high-hybrid behaviors are studied to show the effect of the superposition of different solitons on the structure of the solution, such as the hybrid behaviors between the m-lump solution and n-soliton, the hybrid behaviors between the 1-breather solution and n-soliton. Finally, a large number of three-dimensional images and density projections of spatial structures are displayed to reflect the evolutionary behavior of the high-order soliton solutions with the increase of order number.
Generation of nondiffracting radial carpet-lattice beams by using an extended Durnin’s setup
Authors: gong ning , Chen Rijian , Fan Changjiang , Liu Yefeng , Ren Zhijun 
Published: April 2023

Abstract
Lately, researchers generate the radial carpet beams, a type of 2D optical lattice with polar symmetry. However, the classical radial carpet beams expand slowly as they propagate, that is, they are not nondiffracting beams. Using an extended Durnin’s experimental setup with an amplitude-type spatial light modulator where loaded the angular spectrum of radial grating function distribution is along narrow annular pupils, we presented and generated a type of nondiffracting radial carpet-lattice beams. Different from classical radial carpet beams that slowly expand during propagation, the generated nondiffracting radial carpet-lattice beams are a type of propagation-invariant beams.
Brain tumour segmentation and Analysis using BraTS Dataset with the help of Improvised 2D and 3D UNet model
Authors: Gore Santosh 
Published: April 2023

Abstract
Brain tumours must be accurately identified and located on magnetic resonance imaging (MRI) scans for proper diagnoses and treatments. Accuracy when segmenting these areas ensures doctors have a clear understanding of how much of the tumour needs to be removed or treated. In our research, we propose using an Enhanced 3D U-net Model for accurately segmenting and analysing brain tumours. The model has been trained using a dataset of brain MRI scans that have been merged and optimized from 2D and 3D spatial information and labelled with tumour indications. The efficacy of the suggested system is determined by computing several metrics, including loss, accuracy, mean IOU, precision, sensitivity, specificity, and Dice coefficient. We looked into SegNet as another architecture to compare with UNet. Examining the results of our 3D UNet model against SegNet could provide us with a better understanding of how effective our solution is for categorizing and analyzing brain tumours. Our findings indicate that the 3D UNet model proposed has a higher accuracy in tumour segmentation than other approaches, with excellent precision. This model offers fast processing, making it appropriate for real-life medical applications. The updated 3D UNet architecture could result in more precise and successful segmentation of brain tumours, thus resulting in better diagnosis and treatment plans. To segregate brain tumours and evaluate 3D MRI data, this research provides a new Convolutional Neural Network model, which represents a significant advancement in medical image processing.
Water Quality Index Models for Lotic and Lentic Ecosystems-A Systematic Review
Authors: Mogane Lazarus Katlego , Masebe Tracy , Msagati Titus A.M. , Ncube Esper 
Published: April 2023

Abstract

This review article intends to survey the information on water quality indices developed for the general evaluation of surface water and establish whether the water quality indices (WQIs) can be used to evaluate both lentic and lotic ecosystems simultaneously. Water quality index (WQI) models have gradually gained popularity since their maiden introduction in the 1960s. WQIs transform complex water quality data into a single dimensionless number to enable accessible communication of the water quality status of water resource ecosystems. To screen relevant articles, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was employed to include or exclude articles. A total of 17 peer-reviewed articles were used in the final paper synthesis. Among the reviewed WQIs, only the Canadian Council for Ministers of the Environment (CCME) index, Waski & Parker index, and Hahn index are used to assess both lotic and lentic ecosystems. Furthermore, the CCME index is the only exception from rigidity because it does not specify parameters to select. Except for the West-Java WQI, none of the reviewed WQI performed sensitivity and uncertainty analysis to improve the acceptability and reliability of the WQI. It has been revealed that despite the use of statistical methods such as cluster analysis (CA), factor analysis (FA), and analytic hierarchy process (AHP), WQI models continue to suffer from either eclipsing, ambiguity, or uncertainty limitations because natural ecosystems tend to be too complex for these statistical methods. This review thus recommends coupling statistical methods with machine learning techniques such as artificial neural networks (ANN) in the WQI model development processes.
Severity assessment in melioidosis pneumonia: what is the most appropriate score or factor?
Authors: Nguyen-Ho Lam 
Published: April 2023

Abstract
Background and objective
Pneumonia induced by Burkholderia pseudomallei is a common clinical entity of melioidosis. Along with the development of melioidosis rapid tests, prognostic assessment for melioidosis pneumonia (MP) patients at admission is essential. Our study aims to evaluate the validity of the mortality prognostic score for acute melioidosis and pneumonic scores in predicting MP patients.
Methods
A prospective study was conducted from the late 2019 to the early 2022 at the respiratory department of the largest hospital in Southern Vietnam.
Results
Of 66 MP patients, mean age 51.17 ± 11.02, male/female ratio 57/9, and 89.39% presented with acute pulmonary melioidosis. The rate of need for intensive respiratory or vasopressor support (IRVS) was 34.8% and the mortality at discharged time was 25.80%. The areas under ROC curve (AUCs) of PSI, CURB-65, and SMART-COP in predicting the IRVS need were 0.813 (p < 0.001), 0.868 (p < 0.001), and 0.910 (p < 0.001), respectively. The AUCs of PSI, CURB-65, SMART-COP, and the mortality score of acute melioidosis in predicting the death outcome were 0.698 (p = 0.017), 0.797 (p < 0.001), 0.797 (p < 0.001), and 0.663 (p = 0.047), respectively. The sensitivity, specificity, and positive likelihood ratio for CURB-65 score ≥ 2 in predicting the IRVS need and the mortality were 69.57% and 70.59%, 90.70% and 83.67%, 7.48 and 11.53, respectively.
Conclusions
MP could present mild to severe clinical scenario with high mortality among severe MP cases. The simple CURB-65 score could be useful in predicting severe MP.
Synthesized 3-(2-isocyano-6-methylbenzyl)-1H-indole Enhanced Susceptibility of Serratia marcescens to Kanamycinby Occluding Quorum Sensing
Authors: Yang Jin-Yi , Wang Wei , Tang Shi , Wang Dayong , Cai Chao-yun , Wang Jiang , Jia Ai-Qun 
Published: April 2023

Abstract

Quorum sensing (QS) inhibition is recognized as a novel drug target for infections caused by drug-resistant pathogens and is an attractive strategy for the development of antipathogenic agents. Herein, we designed and synthesized three parts of3-(2-isocyanobenzyl)-1H-indole derivatives and evaluated their activity as novel quorum sensing inhibitors (QSIs). We found that 3-(2-isocyanobenzyl)-1H-indole derivatives showed promising QS inhibitory activity in the minimum inhibitory concentrations (MICs), biofilm and prodigiosin inhibition assays in Serratia marcescens. In particular, 3-(2-isocyano-6-methylbenzyl)-1H-indole(IMBI, 32) was the best candidate by biofilm and prodigiosin inhibition assays screening strategies. Further studies demonstrated, exposureIMBI (1.56 μg/mL, 1/8MICs) to S. marcescens NJ01 significantly inhibited the formation of biofilms by 42%. The IMBI treatment (1.56 μg/mL) on S. marcescens NJ01 notably enhanced the susceptibility of the formed biofilms, destroying the architecture of biofilms up to 40% as evidenced by scanning electron microscopy (SEM) and confocal laser scanning microscope (CLSM). For interference of virulence factors in S. marcescens NJ01, IMBI (3.12 μg/mL, 1/4MICs) inhibited the activity of protease, and extracellular polysaccharides (EPS)by 17% and 51% respectively, which were higher than that of the positive control vanillic acid (VAN). Furthermore, IMBI downregulated the expressions of QS- and biofilm-related genes bsmA,pigP, flhC, rssB, rsmA, and fimC by 0.13-fold to 1.46-fold. To confirm these findings, molecular docking was performed, which indicated that the binding of IMBI to SmaR, RhlI, RhlR, LasR, and CviR could antagonize the expression of QS-linked traits. In addition, molecular dynamic simulations (MD) and energy calculations indicated that the binding of receptors with IMBI was extremely stable. Most importantly, the biofilms of S. marcescens NJ01 were markedly reduced by 50% under IMBI (0.39 μg/mL, 1/32MICs)combining with 0.15 μg/mL kalamycin (KAN). In conclusion, this study highlights the potency of IMBI in inhibiting the virulence factors against S. marcescens. IMBI could be developed as an effective QS inhibitor and anti-biofilm agent to restore or improve drug sensitivity for drug-resistant pathogens.
The Using Natural Phenomenon Video In The Science Learning On Junior High School Student’s Scientific Creativity
Authors: Aninnas Afina , Supeno Supeno , Wicaksono Iwan 
Published: April 2023

Tujuan penelitian ini adalah mengkaji pengaruh dan peningkatan pemanfaatan video fenomena alam terhadap kreativitas ilmiah siswa. Penelitian eksperimen ini menggunakan desain penelitian eksperimen quasi dengan rancangan nonequivalent control-group design. Instrumen penelitian berupa tes kreativitas ilmiah yang hasilnya dianalisis menggunakan uji N-Gain dan independent sample t-test. Berdasarkan hasil uji N-Gain, diperoleh peningkatan kreativitas ilmiah pada kelas eksperimen dalam kategori sedang dan pada kelas kontrol dalam kategori rendah. Hasil uji hipotesis menunjukkan perbedaan nilai yang signifikan antara kelas control dan eksperimen. Kesimpulan yang dapat diambil bahwa pemanfaatan video fenomena alam dalam pembelajaran IPA materi lapisan bumi dapat meningkatkan kreativitas ilmiah siswa dalam kategori sedang serta berpengaruh signifikan terhadap kreativitas ilmiah siswa MTsAbstract The purpose of this study was to examine the effect and increase in the use of videos of natural phenomena on students' scientific innovation. This experimental study used a quasi-experimental research design with a nonequivalent control-group design. The research instrument was a scientific creativity test, the results of which were analyzed using the N-Gain test and independent sample t-test. Based on the results of the N-Gain test, there was an increase in scientific creativity in the experimental class in the medium category and in the control class in the low category. The results of the hypothesis test showed a significant difference in values between the control and experimental classes. The conclusion that can be drawn is that the use of videos of natural phenomena in natural science learning for earth layer material can increase students' scientific creativity in the medium category, which has a significant effect on scientific innovation of junior high school students.
Cytotoxic Activity of Unique Synthesized Five-membered Heterocyclic Compounds
Coordinated with Tiopronin Monovalent
Authors: Sano Naoyuki , Yoshino Hironori , Sato Yoshiaki , Honma Hideo , Cordonier Christopher E.J. , Kashiwakura Ikuo 
Published: April 2023

Background:
We recently synthesized a compound in which 5-mercapto-1-methyltetrazole (MM4)
was coordinated to tiopronin monovalent (TPN-Au(I)) and reported its cytotoxic activity against human leukemia
cells in vitro.

Objective:
We further synthesized other heterocyclic compounds coordinated with TPN-Au(I) and assessed
their cytotoxic activity against hepatocellular carcinoma HepG2 and lung cancer cell line H1299 in vitro.

Methods:
Seven kinds of compounds were synthesized by introducing a five-membered heterocyclic compound
into TPN-Au(I). The number of viable cells was counted by a trypan blue dye exclusion assay. Fluorescence
conjugated-Annexin V and propidium iodide were used for the apoptosis analysis.

Results:
Seven compounds were successfully synthesized. Among these compounds, TPN-Au(I)-MTZ (3-
mercapto-1,2,4-triazole), TPN-Au(I)-MMT (2-mercapto-5-methyl-1,3,4-thiadiazole), and TPN-Au(I)-MMTT
(2-mercapto-5-methylthio-1,3,4-thiadiazole) effectively suppressed the proliferation and induced apoptosis in
HepG2 cells. In addition, TPN-Au(I)-MMTT and TPN-Au(I)-MMT also showed effective cytotoxicity against
H1299 cells.

Conclusion:
The present results showed that introduction of some five-membered heterocyclic compounds,
especially MMT and MMTT, to TPN-Au(I) improved the cytotoxicity against solid cancer cells.