Korea National University of Transportation

Korea National University of Transportation
Short name
KNUT
Country, city
Republic of Korea, Chungju-si
Publications
2 474
Citations
33 857
h-index
66
Top-3 journals
Applied Sciences (Switzerland)
Applied Sciences (Switzerland) (91 publications)
IEEE Access
IEEE Access (57 publications)
Top-3 organizations
Hanyang University
Hanyang University (181 publications)
Seoul National University
Seoul National University (139 publications)
Konkuk University
Konkuk University (114 publications)
Top-3 foreign organizations
Miami University
Miami University (18 publications)
King Saud University
King Saud University (17 publications)

Most cited in 5 years

Found 
from chars
Publications found: 1464
Development of Chitosan‐Coated Graphene Oxide and Iron Oxide Nanocomposites for Targeted Delivery of Camptothecin to Liver Cancer Cells
Sukumar K., Bharathi M., Hirad A.H., Alarfaj A.A., Hussein-Al-Ali S.H., Parthasarathy S.
Q2
Wiley
Chemistry and Biodiversity 2024 citations by CoLab: 0  |  Abstract
AbstractInnovative drug delivery platforms for selective, regulated, and sustained release of anticancer drugs are crucial in cancer treatment. This study presents nanoparticles developed from chitosan (CS), graphene oxide (GO), and magnetite (Fe3O4), and their nanocomposites to enhance the loading and release efficiency of camptothecin (CPT). Nanostructures were characterized using imaging microscopy, FT‐IR, and X‐ray diffraction, with an average crystallite size of 5.5 nm. Camptothecin binding proportions were 70 % for CS, 81 % for CS@Fe3O4, 58 % for CS@GO, and 74 % for CS@GO/Fe3O4. At pH 5.0, CPT release ratios were 87 %, 80 %, 88 %, and 90 %, respectively, and at pH 7.4, 84 %, 72 %, 89 %, and 87 %. Cytotoxicity was assessed using the MTT assay against HepG2 and SMMC‐7721 cancer cells. CPT‐CS@GO/Fe3O4 exhibited the highest survival at 5 μM and 12.5 μM concentrations, indicating it as the most effective nanocarrier for camptothecin delivery. The study demonstrates CS@GO/Fe3O4′s potential as a superior drug delivery system.
Double Mellin-ARA Transform
Abughazaleh B., Amleh M.A., Al-Natoor A., Saadeh R.
Springer Nature
Springer Proceedings in Mathematics and Statistics 2024 citations by CoLab: 0  |  Abstract
The main purpose of this study is introducing a novel generalization of some single integral transforms. The new double hybrid transform combines the Mellin and ARA transforms. We present the definition of the new transform, and investigate the basic properties such as the existence, the inverse and related theorems. New results on partially derivatives and the theorem of double convolution are introduced and discussed.
New Refinements of Generalized Numerical Radius Inequalities
Burqan A., Alnaddaf B., Conde C., Al-Natoor A.
Springer Nature
Springer Proceedings in Mathematics and Statistics 2024 citations by CoLab: 0  |  Abstract
In this article, we establish several inequalities for the generalized numerical radius of $$2\times 2$$ block matrices. Furthermore, we introduce innovative improvements to the generalized numerical radius inequalities for matrix sums and products.
Correction: The rate of ward to intensive care transfer and its predictors among hospitalized COPD patients, a retrospective study in a local tertiary center in Saudi Arabia
Naser A.Y., Dairi M.S., Alwafi H., Ashoor D.S., Qadus S., Aldhahir A.M., Alqarni A.A., Elrefaey W.A., Qanash S., Hafiz W., Alqahtani J.S., Ekram R., Abuirmeileh A., Jarab A.S., Badr O.I.
Q2
Springer Nature
BMC Pulmonary Medicine 2024 citations by CoLab: 0
Open Access
Open access
PDF
Correction: Helminth-derived proteins as immune system regulators: a systematic review of their promise in alleviating colitis
Alghanmi M., Minshawi F., Altorki T.A., Zawawi A., Alsaady I., Naser A.Y., Alwafi H., Alsulami S.M., Azhari A.A., Hashem A.M., Alhabbab R.
Q3
Springer Nature
BMC Immunology 2024 citations by CoLab: 0
Open Access
Open access
PDF
Experimental study of the ionizing gamma-rays shielding capability for MgO-PbO-SiO2-B2O3-BaO glass systems
Sayyed M.I., Almuqrin A.H., Hanafy T.A., Elsafi M.
Q2
Springer Nature
Optical and Quantum Electronics 2024 citations by CoLab: 1  |  Abstract
The radiation shielding properties of borosilicate glasses with different concentrations of BaO at 0.0595, 0.9961, 1.173 and 1.333 MeV have been investigated. The obtained data indicates a high degree of correlation between the measured and Phy-X LAC values for the four prepared glasses, exemplifying the accuracy of the measurement method used to report of the linear attenuation coefficient (LAC) for the prepared glasses. This work demonstrates a significant impact of glass composition on LAC. This refers to the notable increase in LAC with increased BaO content and reduced B2O3 in glasses from B55B10 to B40B25. The results highlight that in glasses, increasing the concentration of BaO decreases the half value layer, implying that glasses with higher BaO are more desirable for radiation shielding applications due to their small thickness. The results reveal a considerable energy dependency in half value layer (HVL), with an observed 60–65% increase as the photon energy increases from 0.6691 to 1.333 MeV.
Investigation of 5-fluorouracil cardiotoxicity in combinational therapy: Influence of risk factors and demographics in a Pakistani population
Raza H., Javaid M., Rehman W., Rafiq S., Rashid Z., Shamim R., Jaradat A., Yousif M.D.
Q3
SAGE
Journal of Oncology Pharmacy Practice 2024 citations by CoLab: 0  |  Abstract
Introduction 5-Fluorouracil (5-FU) is a chemotherapeutic agent used to treat various types of cancers. Although widely used, it has consistently been attributed to cardiotoxicities after administration. The purpose of this study was to assess the parameters and predictors of cardiotoxicities associated with various 5-FU-based chemotherapeutic protocols in patients with GI/colorectal cancer, as well as the correlation of these cardiotoxic events with age, sex, cumulative dose, and risk factors such as obesity, hypertension, and family history of cardiac diseases. Methods A prospective study consisting of 396 patients of both sexes was conducted in the oncology ward of Nishtar Hospital in Multan, Pakistan. Patients were grouped according to the therapeutic protocol they received (5-FU monotherapy or in combination, with different dosing regimens). Electrocardiography and serum troponin levels were used to assess 5-FU-induced cardiotoxicity. In cases where cardiotoxicity was detected, 5-FU treatment was interrupted; nitroglycerin, nitrates, and calcium channel blockers were administered; and cardiac monitoring was initiated. 5-FU was discontinued in all cases of acute myocardial infarction. Results Of the 396 patients, 28.5% reported different cardiotoxic symptoms after receiving various 5-FU-containing protocols. 35% had anginal pain, 13% suffered a myocardial infarction, 11% developed hypertension, and 10% presented heart failure. Patients receiving 5-FU combination therapy showed cardiotoxic events that were significantly different from those on 5-FU monotherapy. Based on the ECG results, only the QTc-d interval increased significantly (p < 0.001) after therapy. 68% of the patients had troponin levels > 2 ng/mL at the end of treatment. Conclusions Pre-existing cardiac diseases, treatment duration, smoking, and obesity were found to be influential components in the development of cardiotoxicity, and patients with cancer should be closely monitored during 5-FU chemotherapy.
A flexible enhanced fuzzy min-max neural network for pattern classification
Alhroob E., Falah Mohammed M., Nayel Al Sayaydeh O., Hujainah F., Ab Ghani N., Peng Lim C.
Q1
Elsevier
Expert Systems with Applications 2024 citations by CoLab: 2  |  Abstract
In this paper, the existing enhanced fuzzy min–max (EFMM) neural network is improved with a flexible learning procedure for undertaking pattern classification tasks. Four new contributions are introduced. Firstly, a new training strategy is proposed for avoiding the generation of unnecessary overlapped regions between hyperboxes of different classes. The learning phase is simplified by eliminating the contraction procedure. Secondly, a new flexible expansion procedure is introduced. It eliminates the use of a user-defined parameter (expansion coefficient) to determine the hyperbox sizes. Thirdly, a new overlap test rule is applied during the test phase to identify the containment cases and activate the contraction procedure (if necessary). Fourthly, a new contraction procedure is formulated to overcome the containment cases and avoid the data distortion problem. Both the third and fourth contributions are important for preventing the catastrophic forgetting issue and supporting the stability-plasticity principle pertaining to online learning. The performance of the proposed model is evaluated with benchmark data sets. The results demonstrate its efficiency in handling pattern classification tasks, outperforming other related models in online learning environments.
Visual and Spectrophotometric Detection of Iodide Ion by Pyridine based Silver Nanoprobe and DFT Analysis
Naseer A., Awan A.N., Hameed A.
Q3
Bentham Science Publishers Ltd.
Current Pharmaceutical Analysis 2024 citations by CoLab: 0  |  Abstract
Introduction: A novel chemosensor has been developed utilizing a newly synthesized pyridine-carboxaldehyde thiosemicarbazone silver nanoprobe (PT-AgNP) for detecting and quantifying iodide ions in aqueous media, both visually and spectrophotometrically using a UV-Vis spectrophotometer. Method: Notably, this sensor demonstrates remarkable selectivity for I- ions, effectively distinguishing them from other common anions such as AcO-, Br-, Cl-, CN-, and F-. The PTAgNP solution undergoes a rapid color change from yellow to black, providing a clear visual indication of the presence of iodide ions. This color transition is directly proportional to the concentration of iodide ions, as indicated by the reduction in the intensity of the surface plasmon resonance band due to nanoparticle aggregation. A linear correlation is observed between the change in intensity and the concentration of iodide ions within the range of 10 to 50 nM, with a detection limit of 8.8 nM. The stability of the PT-AgNP complex is evaluated through experimental methods such as UV-Vis spectroscopy, zeta potential analysis, and powder X-ray diffraction (PXRD), complemented by theoretical calculations using density functional theory (DFT) with Gaussian 09W software. Results: Theoretical investigations reveal that the silver ion (Ag+) and the imine bond of pyridine carboxaldehyde act as potential nucleophilic targets, consistent with the observed morphological color change from yellow to black upon PT-AgNP complexation with iodide ions. Conclusion: Furthermore, DFT calculations indicate a higher HOMO-LUMO energy gap in the pyridine molecule compared to the PT-AgNP complex, suggesting its enhanced sensitivity and reactivity towards iodide ions.
Optimizing Cyber Threat Detection in IoT: A Study of Artificial Bee Colony (ABC)-Based Hyperparameter Tuning for Machine Learning
Alsarhan A., AlJamal M., Harfoushi O., Aljaidi M., Barhoush M.M., Mansour N., Okour S., Abu Ghazalah S., Al-Fraihat D.
Q1
MDPI
Technologies 2024 citations by CoLab: 9
Open Access
Open access
PDF  |  Abstract
In the rapidly evolving landscape of the Internet of Things (IoT), cybersecurity remains a critical challenge due to the diverse and complex nature of network traffic and the increasing sophistication of cyber threats. This study investigates the application of the Artificial Bee Colony (ABC) algorithm for hyperparameter optimization (HPO) in machine learning classifiers, specifically focusing on Decision Trees, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN) for IoT network traffic analysis and malware detection. Initially, the basic machine learning models demonstrated accuracies ranging from 69.68% to 99.07%, reflecting their limitations in fully adapting to the varied IoT environments. Through the employment of the ABC algorithm for HPO, significant improvements were achieved, with optimized classifiers reaching up to 100% accuracy, precision, recall, and F1-scores in both training and testing stages. These results highlight the profound impact of HPO in refining model decision boundaries, reducing overfitting, and enhancing generalization capabilities, thereby contributing to the development of more robust and adaptive security frameworks for IoT environments. This study further demonstrates the ABC algorithm’s generalizability across different IoT networks and threats, positioning it as a valuable tool for advancing cybersecurity in increasingly complex IoT ecosystems.
Effect of Bi2O3 on the mechanical, physical and radiation shielding properties of SiO2-B2O3-ZnO-Al2O3 glasses
Ahmadi M., Zanganeh V., Sayyed M.I., Karami H., Hosseini S.S.
Q2
Springer Nature
Optical and Quantum Electronics 2024 citations by CoLab: 0  |  Abstract
In this study, we evaluated the effect of different Bi2O3 contents (45–60 mass %) on the radiation protection ability, mechanical properties, and physical properties of glass samples composed of Bi2O3-SiO2-B2O3-ZnO-Al2O3. To assess these properties, we utilized the Monte Carlo based code MCNPX 2.6.0 and the Phy-X PSD program. We calculated various mechanical and physical values, including the elastic modulus, Poisson's ratio (σ), and Fractal Bond Connectivity. The radiation shielding properties of various glass compositions were investigated for a range of photon energies including 0.284, 0.347, 0.511, 0.662, 0.826, and 1.173 MeV. The study found that glass compositions with minimal mole fraction of B2O3 exhibited higher density, Equivalent Atomic Number (Zeq), Effective Atomic Number (Zeff), Molar Oxygen Volume, and lower Half Value Layer (HVL), Tenth Value Layer (TVL), Mean Free Path (MFP), and Oxygen Packing Density. Based on these findings, it can be concluded that the glass composition containing 60Bi is the most effective γ-ray attenuator and is recommended as the best glass for this purpose.
Metallic and metallic oxide nanoparticles toxicity primarily targets the mitochondria of hepatocytes and renal cells
Jarrar B., Almansour M., Al-Doaiss A., Lee S.Y., Melhem W., Jarrar Q., Sewelam A.
Q3
SAGE
Toxicology and Industrial Health 2024 citations by CoLab: 0  |  Abstract
Nanoparticles (NPs) are utilized in various applications, posing potential risks to human health, tissues, cells, and macromolecules. This study aimed to investigate the ultrastructural alterations in hepatocytes and renal tubular cells induced by metallic and metal oxide NPs. Adult healthy male Wistar albino rats ( Rattus norvegicus) were divided into 6 ( n = 7) control and 6 treated groups ( n = 7). The rats in the treated groups exposed daily to silver NPs, gold NPs, zinc oxide NPs, silicon dioxide NPs, copper oxide NPs, and ferric oxide NPs for 35 days. The members of the control group for each corresponding NPs received the respective vehicle. Liver and kidney tissue blocks from all rats were processed for Transmission Electron Microscopy (TEM) examinations. The hepatocytes and renal tubular cells of all NPs-treated rats demonstrated mitochondrial ultrastructural alterations mainly cristolysis, swelling, membrane disruption, lucent matrices, matrices lysis, and electron-dense deposits. However, other organelles demonstrated injury but to a lesser extent in the form of shrunken nuclei, nuclear membrane indentation, endoplasmic reticulum fragmentation, cellular membranes enfolding, brush border microvilli disruption, lysosomal hyperplasia, ribosomes dropping, and peroxisome formation. One may conclude from the findings that the hepatocytes and the renal tubular cells mitochondria are the main targets for nanoparticles toxicity ending in mitochondrial disruption and cell injury. Further studies taking into account the relation of mitochondrial ultrastructural damage with a weakened antioxidant defense system induced by chronic exposure to nanomaterials are needed.
Synthesis and Effect of MgSO4 co-doping on the Optical, IR, and Raman Spectroscopic Studies of Eu3+-Doped Alkaline Silica Borate Glasses Produced with SLS Glass as a Silica Source
Ezra N.S., Mustafa I.S., Sayyed M.I., Dakok K.K., Khazaalah T.H., Efenji G.I., Jamil M., Naeem H.S., Oke A.O., Fadhirul I.M., Idriss A.S.
Q2
Springer Nature
Silicon 2024 citations by CoLab: 0  |  Abstract
Two sets of glasses were prepared by rapid melt quench method in the glass system (Eu2O3)x (Na2O)0.1 (B2O3)0.6 (SLS)0.3-x and (Eu2O3)0.01 (Na2O)0.1 (B2O3)0.6 (SLS)0.29-y (MgSO4)y with x and y = 0, 0.005, 0.01, 0.03, and 0.05 mol% to check the effect of MgSO4 inclusion on the glass properties. XRF analysis confirmed the chemical composition of the SLS glass to be 70.81wt% SiO2. The addition of MgSO4 to NaSBEu glasses lowered the sample’s density due to the lower density of Mg (1.738 g/cm3), whereas Eu has a density of 5.25 g/cm3. Adding MgSO4 to NaSBEu glasses raised the band gap values from 3.85 to 3.90 eV and the indirect band gap from 3.22 to 3.23 eV for NaSBEu0.005. The absorption peaks result from the trigonal BO3 bond's relaxation, which causes asymmetric vibrational stretching of the borate. The primary basis for the network structure of these glass samples is the arrangement of BO3 and BO4 units in various structural groupings. The sharpness of the IR absorption peaks increases with the addition of MgSO4.
Prevalence and predictors of polypharmacy and comorbidities among patients with chronic obstructive pulmonary disease: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia
Alwafi H., Naser A.Y., Ashoor D.S., Alsharif A., Aldhahir A.M., Alghamdi S.M., Alqarni A.A., Alsaleh N., Samkari J.A., Alsanosi S.M., Alqahtani J.S., Dairi M.S., Hafiz W., Tashkandi M., Ashoor A., et. al.
Q2
Springer Nature
BMC Pulmonary Medicine 2024 citations by CoLab: 0
Open Access
Open access
PDF  |  Abstract
This study aimed to determine the prevalence of polypharmacy, comorbidities and to investigate factors associated with polypharmacy among adult patients with Chronic Obstructive Pulmonary Disease (COPD). This was a retrospective single-centre cross-sectional study. Patients with a confirmed diagnosis of COPD according to the GOLD guidelines between 28 February 2020 and 1 March 2023 were included in this study. Patients were excluded if a pre-emptive diagnosis of COPD was made clinically without spirometry evidence of fixed airflow limitation. Population characteristics were presented as frequency for categorical variable. Logistic regression analysis was used to identify predictors of polypharmacy. The study sample included a total of 705 patients with COPD. Most of the study sample were males (60%). The mean age of the study population was 65 years old. The majority of the study population had comorbid diseases (68%), hypertension and diabetes were the most common co-existent diseases. Around 55% of the study sample had polypharmacy. Females were significantly less likely to be on polypharmacy compared to males (OR = 0.68, 95% CI = [0.50–0.92], P-value = 0.012)). On the other hand, older patients aged 65.4 or more (OR = 2.31, 95% CI = [1.71–3.14], P-value ≤ 0.001), those with high BMI (≥ 29.2) (OR = 1.42, 95% CI = [1.05–1.92], P-value = 0.024), current smokers (OR = 1.9, 95% CI = [1.39–2.62], P-value ≤ 0.001), those who are receiving home care (OR = 5.29, 95% CI = [2.46–11.37], P-value ≤ 0.001), those who have comorbidities (OR = 19.74, 95% CI = [12.70–30.68], P-value ≤ 0.001) were significantly more likely to be on polypharmacy (p ≤ 0.05). Polypharmacy is common among patients with COPD. Patients with high BMI, previous ICU hospitalization and older age are more likely to have polypharmacy. Future analytical studies are warranted to investigate outcomes in patients with COPD and polypharmacy.
Detecting refactoring type of software commit messages based on ensemble machine learning algorithms
Al-Fraihat D., Sharrab Y., Al-Ghuwairi A., Sbaih N., Qahmash A.
Q1
Springer Nature
Scientific Reports 2024 citations by CoLab: 2
Open Access
Open access
PDF  |  Abstract
Refactoring is a well-established topic in contemporary software engineering, focusing on enhancing software's structural design without altering its external behavior. Commit messages play a vital role in tracking changes to the codebase. However, determining the exact refactoring required in the code can be challenging due to various refactoring types. Prior studies have attempted to classify refactoring documentation by type, achieving acceptable results in accuracy, precision, recall, F1-Score, and other performance metrics. Nevertheless, there is room for improvement. To address this, we propose a novel approach using four ensemble Machine Learning algorithms to detect refactoring types. Our experimentation utilized a dataset containing 573 commits, with text cleaning and preprocessing applied to address data imbalances. Various techniques, including hyperparameter optimization, feature engineering with TF-IDF and bag-of-words, and binary transformation using one-vs-one and one-vs-rest classifiers, were employed to enhance accuracy. Results indicate that the experiment involving feature engineering using the TF-IDF technique outperformed other methods. Notably, the XGBoost algorithm with the same technique achieved superior performance across all metrics, attaining 100% accuracy. Moreover, our results surpass the current state-of-the-art performance using the same dataset. Our proposed approach bears significant implications for software engineering, particularly in enhancing the internal quality of software.

Since 2001

Total publications
2474
Total citations
33857
Citations per publication
13.69
Average publications per year
103.08
Average authors per publication
4.94
h-index
66
Metrics description

Top-30

Fields of science

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Electrical and Electronic Engineering, 486, 19.64%
General Materials Science, 448, 18.11%
Condensed Matter Physics, 412, 16.65%
General Chemistry, 320, 12.93%
Electronic, Optical and Magnetic Materials, 314, 12.69%
Materials Chemistry, 246, 9.94%
General Engineering, 198, 8%
Computer Science Applications, 168, 6.79%
General Chemical Engineering, 167, 6.75%
Mechanical Engineering, 163, 6.59%
Mechanics of Materials, 136, 5.5%
Instrumentation, 135, 5.46%
Process Chemistry and Technology, 125, 5.05%
Renewable Energy, Sustainability and the Environment, 119, 4.81%
General Medicine, 112, 4.53%
General Physics and Astronomy, 108, 4.37%
Biomedical Engineering, 108, 4.37%
Bioengineering, 101, 4.08%
Fluid Flow and Transfer Processes, 101, 4.08%
Biomaterials, 95, 3.84%
Surfaces, Coatings and Films, 91, 3.68%
Energy Engineering and Power Technology, 88, 3.56%
Control and Systems Engineering, 83, 3.35%
Biochemistry, 79, 3.19%
Food Science, 79, 3.19%
Computer Networks and Communications, 74, 2.99%
Biotechnology, 73, 2.95%
Civil and Structural Engineering, 72, 2.91%
Organic Chemistry, 68, 2.75%
Polymers and Plastics, 66, 2.67%
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USA, 200, 8.08%
India, 65, 2.63%
China, 58, 2.34%
Pakistan, 45, 1.82%
Singapore, 33, 1.33%
Japan, 28, 1.13%
United Kingdom, 26, 1.05%
Saudi Arabia, 22, 0.89%
Bangladesh, 19, 0.77%
Vietnam, 18, 0.73%
Australia, 16, 0.65%
Thailand, 14, 0.57%
Germany, 7, 0.28%
Kyrgyzstan, 7, 0.28%
Malaysia, 7, 0.28%
Canada, 6, 0.24%
Serbia, 6, 0.24%
UAE, 5, 0.2%
Poland, 5, 0.2%
Kazakhstan, 4, 0.16%
Austria, 4, 0.16%
Jordan, 4, 0.16%
Lebanon, 4, 0.16%
Norway, 4, 0.16%
Russia, 3, 0.12%
France, 3, 0.12%
Israel, 3, 0.12%
Italy, 3, 0.12%
Turkey, 3, 0.12%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 2001 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.