| 1. |
- Khan, Abdul Rauf, et al.
(författare)
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Investigation of reduced reverse degree based polynomials & indices of gold crystals
- 2024
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Ingår i: Physica Scripta. - : Institute of Physics (IOP). - 0031-8949 .- 1402-4896. ; 99:7
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Tidskriftsartikel (refereegranskat)abstract
- Gold is widely recognized as a noble metal due to its inherent inertness in its bulk form. Nevertheless, gold exhibits reactivity in its ionic form. The inert qualities of bulk gold have led to its extensive recognition as a fundamental raw ingredient in several biomedical processes. These applications encompass drug delivery microchips, dental prostheses, reconstructive surgery, food additives, and endovascular stents. Gold in large amounts can be thought of as safe. Gold can also exist as molecules or ions, specifically gold ions, making it easier to make gold nanomaterials. The distinctive characteristics of gold set it apart from its molecular or bulk states, making its execution a very efficient instrument in the field of nanomedicine. Some of these traits are ease of synthesis, a higher ratio of surface area to volume, more reactive particles, the ability to withstand changes to the surface, and strong optical properties. The reduced reverse degree-based polynomials and topological descriptors of the molecular structure of the gold crystal are investigated in this manuscript. The numerical and graphical analysis of outcomes this study are also described.
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| 2. |
- Beyer, Katharina, et al.
(författare)
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Diagnostic and prognostic factors in patients with prostate cancer : a systematic review
- 2022
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Ingår i: BMJ Open. - : BMJ. - 2044-6055. ; 12:4
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Forskningsöversikt (refereegranskat)abstract
- Objectives As part of the PIONEER Consortium objectives, we have explored which diagnostic and prognostic factors (DPFs) are available in relation to our previously defined clinician and patient-reported outcomes for prostate cancer (PCa). Design We performed a systematic review to identify validated and non-validated studies. Data sources MEDLINE, Embase and the Cochrane Library were searched on 21 January 2020. Eligibility criteria Only quantitative studies were included. Single studies with fewer than 50 participants, published before 2014 and looking at outcomes which are not prioritised in the PIONEER core outcome set were excluded. Data extraction and synthesis After initial screening, we extracted data following the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of prognostic factor studies (CHARMS-PF) criteria and discussed the identified factors with a multidisciplinary expert group. The quality of the included papers was scored for applicability and risk of bias using validated tools such as PROBAST, Quality in Prognostic Studies and Quality Assessment of Diagnostic Accuracy Studies 2. Results The search identified 6604 studies, from which 489 DPFs were included. Sixty-four of those were internally or externally validated. However, only three studies on diagnostic and seven studies on prognostic factors had a low risk of bias and a low risk concerning applicability. Conclusion Most of the DPFs identified require additional evaluation and validation in properly designed studies before they can be recommended for use in clinical practice. The PIONEER online search tool for DPFs for PCa will enable researchers to understand the quality of the current research and help them design future studies. Ethics and dissemination There are no ethical implications.
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| 3. |
- Frumosu, Flavia Dalia, et al.
(författare)
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Cost-sensitive learning classification strategy for predicting product failures
- 2020
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Ingår i: Expert systems with applications. - : Elsevier. - 0957-4174 .- 1873-6793. ; 161:15
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Tidskriftsartikel (refereegranskat)abstract
- In the current era of Industry 4.0, sensor data used in connection with machine learning algorithms can help manufacturing industries to reduce costs and to predict failures in advance. This paper addresses a binary classification problem found in manufacturing engineering, which focuses on how to ensure product quality delivery and at the same time to reduce production costs. The aim behind this problem is to predict the number of faulty products, which in this case is extremely low. As a result of this characteristic, the problem is reduced to an imbalanced binary classification problem. The authors contribute to imbalanced classification research in three important ways. First, the industrial application coming from the electronic manufacturing industry is presented in detail, along with its data and modelling challenges. Second, a modified cost-sensitive classification strategy based on a combination of Voronoi diagrams and genetic algorithm is applied to tackle this problem and is compared to several base classifiers. The results obtained are promising for this specific application. Third, in order to evaluate the flexibility of the strategy, and to demonstrate its wide range of applicability, 25 real-world data sets are selected from the KEEL repository with different imbalance ratios and number of features. The strategy, in this case implemented without a predefined cost, is compared with the same base classifiers as those used for the industrial problem.
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| 4. |
- Husin, Mohamad Nazri, et al.
(författare)
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Multicriteria decision making attributes and estimation of physicochemical properties of kidney cancer drugs via topological descriptors
- 2024
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 19:5
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Tidskriftsartikel (refereegranskat)abstract
- Based on topological descriptors, QSPR analysis is an incredibly helpful statistical method for examining many physical and chemical properties of compounds without demanding costly and time-consuming laboratory tests. Firstly, we discuss and provide research on kidney cancer drugs using topological indices and done partition of the edges of kidney cancer drugs which are based on the degree. Secondly, we examine the attributes of nineteen drugs casodex, eligard, mitoxanrone, rubraca, and zoladex, etc and among others, using linear QSPR model. The study in the article not only demonstrates a good correlation between TIs and physical characteristics with the QSPR model being the most suitable for predicting complexity, enthalpy, molar refractivity, and other factors and a best-fit model is attained in this study. This theoretical approach might benefit chemists and professionals in the pharmaceutical industry to forecast the characteristics of kidney cancer therapies. This leads towards new opportunities to paved the way for drug discovery and the formation of efficient and suitable treatment options in therapeutic targeting. We also employed multicriteria decision making techniques like COPRAS and PROMETHEE-II for ranking of said disease treatment drugs and physicochemical characteristics.
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| 5. |
- Imran, Muhammad, et al.
(författare)
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Computation of Entropy Measures for Metal-Organic Frameworks
- 2023
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Ingår i: Molecules. - : Mdpi. - 1431-5157 .- 1420-3049. ; 28:12
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Tidskriftsartikel (refereegranskat)abstract
- Entropy is a thermodynamic function used in chemistry to determine the disorder and irregularities of molecules in a specific system or process. It does this by calculating the possible configurations for each molecule. It is applicable to numerous issues in biology, inorganic and organic chemistry, and other relevant fields. Metal-organic frameworks (MOFs) are a family of molecules that have piqued the curiosity of scientists in recent years. They are extensively researched due to their prospective applications and the increasing amount of information about them. Scientists are constantly discovering novel MOFs, which results in an increasing number of representations every year. Furthermore, new applications for MOFs continue to arise, illustrating the materials' adaptability. This article investigates the characterisation of the metal-organic framework of iron(III) tetra-p-tolyl porphyrin (FeTPyP) and CoBHT (CO) lattice. By constructing these structures with degree-based indices such as the K-Banhatti, redefined Zagreb, and the atom-bond sum connectivity indices, we also employ the information function to compute entropies.
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| 6. |
- Iqbal, Javed, et al.
(författare)
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A Novel Single-Fed Dual-Band Dual-Circularly Polarized Dielectric Resonator Antenna for 5G Sub-6GHz Applications
- 2022
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Ingår i: Applied Sciences. - : MDPI AG. - 2076-3417. ; 12:10
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Tidskriftsartikel (refereegranskat)abstract
- In this research article, a single-fed dual-band circular polarized (CP) dielectric resonator antenna (DRA) for dual-function communication, such as GPS and WLAN, was made. Initially, the proposed design process was initiated by designing a linearly polarized singly fed-DRA. To attain CP fields, the cross-shape conformal metal strip was optimized to excite the fundamental and the high-order mode in the two frequency bands. The metallic strip (parasitic) was utilized on top of the rectangular DRA to improve and widen the impedance and axial ratio (AR) bandwidth. This step led to a 2.73% improvement on the lower band and an impact of 6.5% on the upper band while on the other side a significant improvement was witnessed in the AR bandwidth in both frequency bands. A prototype was designed and fabricated in order to validate its operations. The measurement outcomes of the proposed antennas authenticated wideband impedance bandwidths of 6.4% and 25.26%, and 3-dB axial ratios (AR) of 21.26% and 27.82% respectively. The prototype is a decent candidate for a global positioning system (GPS) and wireless local area network (WLAN).
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| 7. |
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| 8. |
- Khan, Abdul Rauf, et al.
(författare)
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Computation of differential and integral operators using M-polynomials of gold crystal
- 2024
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Ingår i: Heliyon. - : Elsevier. - 2405-8440. ; 10:14
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Tidskriftsartikel (refereegranskat)abstract
- Gold is generally considered a noble metal since it is inherently inert in its bulk state. However, gold demonstrates reactivity when it is in its ionic state. The inherent inertness of bulk gold has resulted in its widespread recognition as a vital raw material in various biomedical processes. The applications of these technologies include drug delivery microchips, dental prostheses, reconstructive surgery, culinary additives, and cardiovascular stents. Gold can also exist in molecules or ions, particularly gold ions, which facilitates the production of gold nanomaterials. In this paper, we have computed differential and integral operators by using the M-Polynomial of gold crystals and by utilizing this polynomial, we have also computed eleven topological indices like 1st Zagreb, 2nd Zagreb, Hyper, Sigma, Second Modified, General Randic, General Reciprocal Randic, 3rd Redefined Zagreb, Symmetric Division Degree, Harmonic, Inverse Sum indices for the structure of Gold crystal.
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| 9. |
- Khan, Abdul Rauf, et al.
(författare)
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Investigations of Entropy Double & Strong Double Graph of Silicon Carbide
- 2024
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Ingår i: Silicon. - : Springer Nature. - 1876-990X .- 1876-9918. ; 16:10, s. 4187-4197
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Tidskriftsartikel (refereegranskat)abstract
- Silicon carbide is a captivating semiconductor material for electrical and electro-optical applications requiring high temperatures. Silicon carbide is a crucial non-oxide ceramic with a wide range of uses in manufacturing. It has special properties like high rigidity and durability, heat and chemical constancy, a high melting point, oxidation resistance, powerful erosion resistance, etc. Due to all of these properties, silicon carbide is the perfect material for high-power, high-temperature electrical devices as well as erosion and cutting purposes. Silicon carbide materials are frequently used in different fields of nuclear materials and semiconductor materials because of their outstanding radiation resistance, thermal conductivity, oxidation resistance, and mechanical strength. This study presents various K-Banhatti entropies, redefines Zagreb entropies, and the atom-bond sum connectivity entropy of the double and strong double graphs of silicon carbide [Si2C3−I(r,s)], and presents a numerical and graphical analysis of these results. The QSPR analysis of silicon carbide is performed for four characteristics Poisson’s ratio, shear modulus, Young’s modulus and bulk modulus through linear and quadratic regression analysis and found the best prediction. These models provide scientists with a new way of estimating physicochemical properties.
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| 10. |
- Khan, Abdul Rauf, et al.
(författare)
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Rare-Events Classification : An Approach Based on Genetic Algorithm and Voronoi Tessellation
- 2018
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Ingår i: Trends and Applications in Knowledge Discovery and Data Mining. - Cham : Springer. ; , s. 256-266
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Konferensbidrag (refereegranskat)abstract
- Classification is a major constituent of the data mining tool kit. Well-known methods for classification are either built on the principle of logic or on statistical reasoning. For imbalanced and noisy cases, classification may however fail to deliver on basic data mining goals, i.e., identifying statistical dependencies in data. In this article, we propose a novel strategy for data mining based on partitioning of the feature space through Voronoi tessellation and Genetic Algorithm, where the latter is applied to solve a combinatorial optimization problem. We apply the suggested methodology to a range of classification problems of varying imbalance and noise and compare the performance of the suggested method with well-known classification methods such as (SVM, KNN, and ANN). The results obtained indicate the proposed methodology to be well suited for data mining tasks in case of highly imbalanced classes and significant noise.
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