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Ahmad H, Tariq M, Yasin A, Razzaq S, Chaudhry MA, Shaikh IUH, Ali A, Qaisar SM, Iqbal J. Investigation of vibration's effect on driver in optimal motion cueing algorithm. PLoS One 2023; 18:e0290705. [PMID: 38032929 PMCID: PMC10688641 DOI: 10.1371/journal.pone.0290705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 08/15/2023] [Indexed: 12/02/2023] Open
Abstract
The increased sensation error between the surroundings and the driver is a major problem in driving simulators, resulting in unrealistic motion cues. Intelligent control schemes have to be developed to provide realistic motion cues to the driver. The driver's body model incorporates the effects of vibrations on the driver's health, comfort, perception, and motion sickness, and most of the current research on motion cueing has not considered these factors. This article proposes a novel optimal motion cueing algorithm that utilizes the driver's body model in conjunction with the driver's perception model to minimize the sensation error. Moreover, this article employs H∞ control in place of the linear quadratic regulator to optimize the quadratic cost function of sensation error. As compared to state of the art, we achieve decreased sensation error in terms of small root-mean-square difference (70%, 61%, and 84% decrease in case of longitudinal acceleration, lateral acceleration, and yaw velocity, respectively) and improved coefficient of cross-correlation (3% and 1% increase in case of longitudinal and lateral acceleration, respectively).
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Affiliation(s)
- Hazoor Ahmad
- Department of Electrical Engineering, Information Technology University (ITU), Lahore, Pakistan
| | - Muhammad Tariq
- Alternate Energy Research & Innovation Lab (AERIL), Al-Khwarizmi Institute of Computer Science, University of Engineering and Technology, Lahore, Pakistan
| | - Awais Yasin
- Computer Engineering Department, National University of Technology (NUTech), Islamabad, Pakistan
| | - Sohail Razzaq
- Faculty of Information Technology, Majan University College, Muscat, Sultanate of Oman
| | - Muhammad Ahmad Chaudhry
- Department of Electrical Engineering, University of Engineering and Technology (UET), Taxila, Pakistan
| | - Inam Ul Hasan Shaikh
- Department of Electrical Engineering, University of Engineering and Technology (UET), Taxila, Pakistan
| | - Ahsan Ali
- Department of Electrical Engineering, University of Engineering and Technology (UET), Taxila, Pakistan
| | - Saeed Mian Qaisar
- Electrical and Computer Engineering Department, Effat University, Jeddah, Saudi Arabia
- CESI LINEACT, Lyon, France
| | - Jamshed Iqbal
- School of Computer Science, Faculty of Science and Engineering, University of Hull, Hull, United Kingdom
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Shehzad HMF, Yasin A, Ansari ZK, Khan MA, Awan MJ. Fake profile recognition using big data analytics in social media platforms. IJCAT 2022. [DOI: 10.1504/ijcat.2022.10049746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Yasin A, Singh VP, Ahsan M, Awan MJ, Mubashar R. Efficient residential load forecasting using deep learning approach. IJCAT 2022. [DOI: 10.1504/ijcat.2022.10049745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Khalil A, Awan MJ, Yasin A, Singh VP, Shehzad HMF. Flight web searches analytics through big data. IJCAT 2022. [DOI: 10.1504/ijcat.2022.124949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Shehzad HMF, Singh VP, Awan MJ, Yasin A, Khalil A. Flight web searches analytics through big data. IJCAT 2022. [DOI: 10.1504/ijcat.2022.10049751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Mubashar R, Awan MJ, Ahsan M, Yasin A, Singh VP. Efficient residential load forecasting using deep learning approach. IJCAT 2022. [DOI: 10.1504/ijcat.2022.124940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Awan MJ, Bilal MH, Yasin A, Nobanee H, Khan NS, Zain AM. Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach. Int J Environ Res Public Health 2021; 18:10147. [PMID: 34639450 PMCID: PMC8508357 DOI: 10.3390/ijerph181910147] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/18/2021] [Accepted: 09/21/2021] [Indexed: 12/24/2022]
Abstract
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and cure at an early stage all over the world. Patients showing symptoms of COVID-19 are resulting in hospitals becoming overcrowded, which is becoming a significant challenge. Deep learning's contribution to big data medical research has been enormously beneficial, offering new avenues and possibilities for illness diagnosis techniques. To counteract the COVID-19 outbreak, researchers must create a classifier distinguishing between positive and negative corona-positive X-ray pictures. In this paper, the Apache Spark system has been utilized as an extensive data framework and applied a Deep Transfer Learning (DTL) method using Convolutional Neural Network (CNN) three architectures -InceptionV3, ResNet50, and VGG19-on COVID-19 chest X-ray images. The three models are evaluated in two classes, COVID-19 and normal X-ray images, with 100 percent accuracy. But in COVID/Normal/pneumonia, detection accuracy was 97 percent for the inceptionV3 model, 98.55 percent for the ResNet50 Model, and 98.55 percent for the VGG19 model, respectively.
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Affiliation(s)
- Mazhar Javed Awan
- Department of Software Engineering, University of Management and Technology, Lahore 54770, Pakistan;
| | - Muhammad Haseeb Bilal
- Department of Software Engineering, University of Management and Technology, Lahore 54770, Pakistan;
| | - Awais Yasin
- Department of Computer Engineering, National University of Technology, Islamabad 44000, Pakistan;
| | - Haitham Nobanee
- College of Business, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates
- Oxford Centre for Islamic Studies, University of Oxford, Marston Rd, Headington, Oxford OX3 0EE, UK
- Faculty of Humanities & Social Sciences, University of Liverpool, 12 Abercromby Square, Liverpool L69 7WZ, UK
| | - Nabeel Sabir Khan
- Department of Computer Science, University of Management and Technology, Lahore 54770, Pakistan;
| | - Azlan Mohd Zain
- UTM Big Data Centre, School of Computing, Universiti Teknologi Malaysia, Skudai 81310, Malaysia;
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Abstract
Ectopic thyroid gland tissue can occur either as the only detectable thyroid gland tissue or in addition to a normotopic thyroid gland. After a total thyroidectomy thyroid-stimulating hormone (TSH) can induce a compensatory volume increase of previously asymptomatic ectopic tissue. This hyperplastic ectopic tissue can occur as an unclear cervical space-occupying lesion. Prior to surgical exploration of an unclear cervical mass the possibility of ectopic thyroid tissue should be included in the differential diagnostic considerations.
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Affiliation(s)
- D Seitz
- Klinikum Bielefeld Mitte, Klinik für Hals‑, Nasen- und Ohrenheilkunde, Kopf- und Halschirurgie, Teutoburger Str. 50, 33604, Bielefeld, Deutschland.
| | - I Todt
- Klinikum Bielefeld Mitte, Klinik für Hals‑, Nasen- und Ohrenheilkunde, Kopf- und Halschirurgie, Teutoburger Str. 50, 33604, Bielefeld, Deutschland
| | - E Boga
- Klinikum Bielefeld Mitte, Klinik für Hals‑, Nasen- und Ohrenheilkunde, Kopf- und Halschirurgie, Teutoburger Str. 50, 33604, Bielefeld, Deutschland
| | - A Yasin
- Klinikum Bielefeld Mitte, Klinik für Hals‑, Nasen- und Ohrenheilkunde, Kopf- und Halschirurgie, Teutoburger Str. 50, 33604, Bielefeld, Deutschland
| | - H Sudhoff
- Klinikum Bielefeld Mitte, Klinik für Hals‑, Nasen- und Ohrenheilkunde, Kopf- und Halschirurgie, Teutoburger Str. 50, 33604, Bielefeld, Deutschland
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Chen X, Huang Q, Wan W, Zhou M, Yu Z, Zhang W, Yasin A, Bao H, Meng F. A Robust Vision Module for Humanoid Robotic Ping-Pong Game. INT J ADV ROBOT SYST 2017. [DOI: 10.5772/60406] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
| | - Qiang Huang
- Beijing Institute of Technology, Beijing, China
| | | | | | - Zhangguo Yu
- Beijing Institute of Technology, Beijing, China
| | | | - Awais Yasin
- University of Engineering and Technology, Lahore, Pakistan
| | - Han Bao
- National Research Center of Intelligence Equipment for Agriculture, Beijing, China
| | - Fei Meng
- Beijing Institute of Technology, Beijing, China
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Sharma AP, Kathiravelu A, Nadarajah R, Yasin A, Filler G. Body mass does not have a clinically relevant effect on cystatin C eGFR in children. Nephrol Dial Transplant 2008; 24:470-4. [DOI: 10.1093/ndt/gfn505] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Maffei P, Lombardi Borgia S, Sforzini A, Yasin A, Ronchi C, Ceschel G. Design and in vitro-in vivo evaluation of a bi-layered tablet containing benzocaine for local buccal administration. J Drug Deliv Sci Technol 2004. [DOI: 10.1016/s1773-2247(04)50065-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Ceschel GC, Maffei P, Sforzini A, Lombardi Borgia S, Yasin A, Ronchi C. In vitro permeation through porcine buccal mucosa of caffeic acid phenetyl ester (CAPE) from a topical mucoadhesive gel containing propolis. Fitoterapia 2002; 73 Suppl 1:S44-52. [PMID: 12495709 DOI: 10.1016/s0367-326x(02)00190-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Recent studies have shown that propolis has on the oral cavity appreciable antibacterial, antifungal and antiviral actions, as well as anti-inflammatory, anaesthetic and cytostatic properties. In light of these studies, an assessment of the diffusion and permeation of caffeic acid phenetyl ester (CAPE) through porcine buccal mucosa was considered useful as a possible application in the stomatological field. To do so, a mucoadhesive topical gel was prepared to apply to the buccal mucosa. The gel was formulated in such a way as to improve the solubility of the propolis, conducting to an increase of the flux. The mucosal permeation of CAPE from the formulation was evaluated using Franz cells, with porcine buccal mucosa as septum between the formulation (donor compartment) and the receptor phase chamber. The diffusion through the membrane was determined by evaluating the amount of CAPE present in the receiving solution, the flux and the permeation coefficient (at the steady state) in the different formulations at set intervals. Qualitative and quantitative determinations were done by HPLC analysis. From the results, CAPE allowed a high permeability coefficient in comparison to the coefficient of other molecules, as expected from its physical-chemical structure. Moreover, the developed gel improved the CAPE flux approximately 35 times more with respect to an ethanol solution formulated at the same gel concentration. The developed gel was also tested in order to evaluate the mucoadhesive behaviour and comfort in vivo on 10 volunteers in a period of 8 h. The in vivo evaluation of mucoadhesive gel revealed adequate comfort and non-irritancy during the period of study and it was well accepted by the volunteers.
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Affiliation(s)
- G C Ceschel
- Dipartimento di Scienze Farmaceutiche, Università di Bologna, Via San Donato 19/2, 4100, Bologna, Italy.
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Haisenleder DJ, Yasin M, Yasin A, Marshall JC. Regulation of prolactin, thyrotropin subunit, and gonadotropin subunit gene expression by pulsatile or continuous calcium signals. Endocrinology 1993; 133:2055-61. [PMID: 8404653 DOI: 10.1210/endo.133.5.8404653] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
We investigated the importance of calcium (Ca2+) influx in increasing the steady state concentrations of mRNAs coding for the pituitary peptides PRL, alpha, and TSH, LH, and FSH beta-subunits. Adult female rat pituitaries were dissociated, plated for 48 h, then inserted into perifusion chambers. Secretory responses were measured after 2 and 22 h of perifusion, and after 24 h, the cells were recovered, total RNA was extracted, and mRNAs were assayed by dot blot hybridization. The first experiment examined the effect of the Ca2+ channel blocker verapamil (100 microM) on the stimulatory action of pulsatile TRH (4 nM; 60-min interval) or GnRH (100 pM; 60-min interval) on pituitary mRNAs. TRH pulses induced a significant increase (49-56%) in PRL, alpha, and TSH beta mRNAs. Similarly, GnRH pulses stimulated a rise in alpha (64%) and FSH beta (50%) mRNAs, but not LH beta. The effects of pulsatile TRH or GnRH were eliminated when verapamil was added to the medium, suggesting that Ca2+ influx is critical to the stimulatory action of TRH or GnRH. The second experiment examined the effect of pulsatile vs. continuous increases in intracellular Ca2+ on pituitary mRNA expression. Pulsatile Ca2+ signals were produced by giving 60-min pulses of 50 mM KCl, Bay K 8644 (10 microM), or Bay K 8644 (10 microM; in the presence of 10 mM KCl in the injectate) and vehicle pulses to controls. Continuous increases in intracellular Ca2+ were induced by perifusion with medium containing the Ca2+ ionophore A23187 (20 microM), and these groups were compared to that receiving continuous verapamil. Pulsatile increases in Ca2+ influx (KCl or Bay K 8644) stimulated significant elevations in all mRNAs studied (36-74% increase vs. controls), with the exception of TSH beta. The magnitude of the mRNA responses to pulsatile Ca2+ (vs. controls) was similar to that observed after TRH and GnRH pulses. In contrast, only LH beta was increased by A23187 (42% increase vs. controls; P < 0.05). PRL and alpha mRNAs were selectively diminished by A23187 (57% and 83% decreases vs. controls, respectively; P < 0.05) and verapamil (67% and 60%; P < 0.05). The data show that expression of these pituitary genes is regulated by Ca2+ and that a pulsatile Ca2+ signal is required to stimulate PRL, alpha, and FSH beta (but not LH beta).(ABSTRACT TRUNCATED AT 400 WORDS)
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Affiliation(s)
- D J Haisenleder
- Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville 22908
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Yasin A, Jefferies TM. Analysis of tetracycline antibiotics and their common impurities by high-performance liquid chromatography using a polymeric column. J Pharm Biomed Anal 1988; 6:867-73. [PMID: 16867355 DOI: 10.1016/0731-7085(88)80103-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/1987] [Revised: 10/23/1987] [Indexed: 10/18/2022]
Abstract
The chromatographic separation of tetracycline, oxytetracycline, 6-demethyl-chlortetracycline, methacycline and minocycline, and the common impurities of tetracycline, oxytetracycline and chlortetracycline has been optimised on a Hamilton PRP-1 column using citrate-phosphate buffer with propan-2-ol and tetrahydrofuran as organic modifiers. Column efficiency was approximately doubled by the inclusion of 1% v/v dichloromethane in the mobile phase.
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Affiliation(s)
- A Yasin
- School of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath BA2 7AY, UK
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Casy AF, Yasin A. Application of 13C nuclear magnetic resonance spectroscopy to the analysis and structural investigation of tetracycline antibiotics and their common impurities. J Pharm Biomed Anal 1984; 2:19-36. [PMID: 16867762 DOI: 10.1016/0731-7085(84)80086-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/1984] [Indexed: 10/18/2022]
Abstract
The spectral assignations of all the main resonances in the 13C nuclear magnetic resonance spectra in DMSO-d6 or D2O are presented and reviewed for ten of the principal tetracyclines in therapeutic use: tetracycline, chlortetracycline, 6-demethylchlortetracycline, minocycline, oxytetracycline, methacycline, meclocycline, doxycycline, rolitetracycline and lymecycline. NMR techniques employed include: proton noise-decoupled spectra, off-resonance decoupled spectra, nuclear Overhauser enhancement and the INEPT technique (insensitive nuclei enhanced by polarization transfer). 13C NMR is also examined as a means of detecting and identifying the principal degradation and isomerization products of tetracycline antibiotics. The analytical potential of 13C NMR is discussed with respect to quantitative analysis of impurities, studies on sites of protonation and metal-binding studies.
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Affiliation(s)
- A F Casy
- School of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath BA2 7AY, UK
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Casy AF, Yasin A. The identification and stereochemical study of tetracycline antibiotics by 1H nuclear magnetic resonance spectroscopy. J Pharm Biomed Anal 1983; 1:281-92. [PMID: 16867798 DOI: 10.1016/0731-7085(83)80040-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/1982] [Revised: 08/20/1982] [Indexed: 11/16/2022]
Abstract
The 1H NMR spectra of seven tetracycline antibiotics of clinical importance are reported and assigned as solutes in DMSO-d6 and other solvents. The data are analysed in terms of analytical utility and the provision of evidence of solute stereochemistry.
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Affiliation(s)
- A F Casy
- School of Pharmacy and Pharmacology, University of Bath, Bath BA2 7AY, UK
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