888 results on '"Ali, Ammar"'
Search Results
202. Ionic Liquid Assessment as Suitable Solvent for Biogas Upgrading Technology Based on the Process System Engineering Perspective
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Bilal Kazmi, Syed Ali Ammar Taqvi, and Syed Imran Ali
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Process Chemistry and Technology ,Chemical Engineering (miscellaneous) ,Filtration and Separation ,Bioengineering ,Biochemistry ,Industrial and Manufacturing Engineering - Published
- 2021
203. CHA2DS2-VASc, a Simple Clinical Score Expanding Its Boundaries to Predict Contrast-Induced Acute Kidney Injury After Primary Percutaneous Coronary Interventions
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Rajesh Kumar, Mahesh Kumar Batra, Sanam Khowaja, Ali Ammar, Ashok Kumar, Jehangir Ali Shah, Jawaid Akbar Sial, Tahir Saghir, and Musa Karim
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STEMI ,ST elevation myocardial infarction ,contrast-induced acute kidney injury ,Nephrology ,CHA2DS2-VASc score ,contrast-induced nephropathy ,International Journal of Nephrology and Renovascular Disease ,percutaneous coronary intervention ,primary PCI ,CI-AKI ,CIN ,Original Research - Abstract
Rajesh Kumar,1 Mahesh Kumar Batra,1 Sanam Khowaja,1 Ali Ammar,1 Ashok Kumar,1 Jehangir Ali Shah,1 Jawaid Akbar Sial,1 Tahir Saghir,1 Musa Karim2 1Adult Cardiology Department, National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan; 2Research Department, National Institute of Cardiovascular Diseases (NICVD), Karachi, PakistanCorrespondence: Rajesh KumarNational Institute of Cardiovascular Diseases (NICVD), Karachi, PakistanEmail rajeshnarsoolal@gmail.comObjective: Promising results of CHA2DS2-VASc score have been reported for the prediction of contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI). However, data of its predictive strength in the context of primary PCI are not available. Therefore, in this study, we have assessed predictive value of CHA2DS2-VASc score for CI-AKI after primary PCI.Methods: This analytical cross-sectional study was conducted between January 2021 and June 2021 at the National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan. Inclusion criteria of the study was consecutive adult patients who had undergone primary PCI. Baseline CHA2DS2-VASc score was calculated, and either a 25% or 0.5 mg/dL increase in post-procedure serum creatinine level as compared to baseline level was categorized as CI-AKI.Results: A total of 691 patients were included, of which 82.1% (567) were male. CI-AKI after primary PCI was observed in 63 (9.1%) patients, out of which 66.7% (42) of patients had CHA2DS2-VASc score of ⥠2. The area under the curve (AUC) for the score was 0.725 [0.662 to 0.788] with a sensitivity and specificity of 66.7% [63.1% to 70.2%] and 66.7% [53.7% to 78.1%], respectively, at a cut-off value of ⥠2. In multivariable analysis, left ventricular ejection fraction ⤠30% and CHA2DS2-VASc ⥠2 were found to be independent predictors with adjusted odds ratios of 2.19 [1.06â 4.5] and 2.13 [1.13â 4.01], respectively.Conclusion: CHA2DS2-VASc score has a good predictive value for the prediction of CI-AKI after primary PCI. Criteria of CHA2DS2-VASc ⥠2 can be used for the risk stratification of CI-AKI after primary PCI.Keywords: ST elevation myocardial infarction, STEMI, percutaneous coronary intervention, primary PCI, contrast-induced acute kidney injury, CI-AKI, CHA2DS2-VASc score, contrast-induced nephropathy, CIN
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- 2021
204. First Record and Massive Spread of Tropical Long-Spined Sea Urchin Diadema antillarum in the Mediterranean Sea (Syrian Coast)
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Izdihar Ali Ammar
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Oceanography ,Geography ,Mediterranean sea ,biology ,Diadema antillarum ,biology.animal ,biology.organism_classification ,Sea urchin - Abstract
The biological structure of the Syrian marine environment still shows a rapid and steady increase in the number of warm water species, many of which have become dominant and invasive. In the latest field data during 2020-2021, the presence of the black sea urchin Diadema antillarum (Philippi, 1845) was recorded for the first time in several locations in Latakia and Ras al-Bassit coast, and its massive spread at depths of 5-8 m, accompanied by invasive species of macroalgae, sponges, crustaceans and mollusks.. It is noteworthy that this species is one of the most widespread and important species of sea urchins in some tropical areas, and this is the first record in the Mediterranean Sea and the Syrian coast It is important as it prey on macroalgae and has an effective role in the health of some of the most important areas of biodiversity in the world.
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- 2021
205. Optimized Junction Termination Extension and Ring System for 11 kV 4H-SiC BJT
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Ali Ammar, Mihai Lazar, Bertr Vergne, Sigo Scharnholz, Luong Viet Phung, Camille Sonneville, Christophe Raynaud, Herve Morel, Dominique Planson, Marcin Zielinski, Ampère, Département Energie Electrique (EE), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Lumière, nanomatériaux et nanotechnologies (L2n), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Institut franco-allemand de recherches de Saint-Louis (ISL), DGA-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), NOVASIC, NOVASiC, and ANR-18-CE05-0020,HV-PhotoSw,Interrupteurs à haute tension à commande optique(2018)
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I-V characteristics ,blocking voltage ,4H-SiC BJT ,TCAD modeling ,Bipolar Devices ,[SPI.TRON]Engineering Sciences [physics]/Electronics - Abstract
International audience; In this article, a high power 4H-SiC NPN BJT is demonstrated with a blocking voltage greater than 10 kV when its theoretical value is around 13 kV. The device design was extracted from a previous reported model and a fabrication process with eleven mask levels was performed. The maximum recorded common-emitter current gain is 20 at a current density 178 A/cm 2 .
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- 2022
206. QUALITY OF LIFE AFTER PRIMARY PCI IN PAKISTANI POPULATION – DOES IT REALLY CHANGE?
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Abdul Hafeez, Ashok Kumar, Lajpat Rai, Abdul Hakeem Shaikh, Rajesh Kumar, Jawaid Akbar Sial, Dileep Kumar, Tahir Saghir, Musa Karim, J. Shah, and Ali Ammar
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medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Pakistani population ,Percutaneous coronary intervention ,Physical function ,Vitality ,Mental health ,Tertiary care ,humanities ,Quality of life ,Conventional PCI ,Physical therapy ,medicine ,Cardiology and Cardiovascular Medicine ,business - Abstract
Objectives: To evaluate the quality of life (QOL) after percutaneous coronary intervention (PCI) using short-form health survey (SF-36) questionnaire at a tertiary care hospital in Pakistan. Methodology: It was a cross-sectional study conducted at a tertiary care cardiac center in Pakistan. A total of 433 adult patients who undergone PCI at least six months before were included. The QOL was assessed using Urdu translated version of SF-36 questionnaire. QOL scores were computed on eight domains role physical (RP), role emotional (RE), bodily pain (BP), physical function (PF), mental health (MH), vitality, general health perception (GHP), and social function (SF) along with two summary scores for mental (MCS) and physical component (PPS). Results: The highest mean score was reported for BP (73.8±19.7) followed by PF (61.7±24.3). In comparison to a year before, 52.9% and 24.7% rated their QOL somewhat better and much better respectively. Score for PF, RE, and RF were significantly higher in male, while, vitality was higher for female. Score of PPS was significantly higher for male whereas MCS score was higher for female. An increasing trend, with respect to patients’ perception of QOL compared to an year ago, was observed on five out of eight domains namely GHP, PF, RP, RE, and BP. Conclusion: Improved QOL, compared to a year ago, is reported by most of the patients. An acceptable (>50) mean score was observed on most of the QOL domains of SF-36 and it was found to be positively related to the patient stated degrees of QOL.
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- 2021
207. PREDICTORS OF MULTIVESSEL CORONARY ARTERY DISEASE IN YOUNG PATIENTS PRESENTING WITH ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION
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Ayaz Mir, Atif Sher Muhammad, Faiza Farooq, Javaid Ur Rehman, Tahir Saghir, Syed Zia Ullah, and Ali Ammar
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medicine.medical_specialty ,education.field_of_study ,Multivariate analysis ,business.industry ,Population ,Odds ratio ,medicine.disease ,digestive system diseases ,Coronary artery disease ,Internal medicine ,Diabetes mellitus ,cardiovascular system ,medicine ,Cardiology ,ST segment ,cardiovascular diseases ,Myocardial infarction ,Young adult ,Cardiology and Cardiovascular Medicine ,education ,business - Abstract
Objectives: Premature coronary artery disease (CAD) is on the rise in our population, and multivessel disease (MVD) is no longer an uncommon finding in young patients. Therefore, aim of this study was to determine the predictors of MVD in young patients who presented with ST-Segment Elevation Myocardial Infarction (STEMI). Methodology: For this study, we enrolled 294 young adult (18-40 years) patients with STEMI. MVD was diagnosed based on angiography. Demographic characteristics and baseline risk profiles were considered for the univariate and multivariate analyses to determine the predictors of MVD. Results: Out of 294 patients, 90.5% (266) were males, and the mean age was 35.45 ± 4.07 years. Our 24.1% (71) patients were hypertensive (HTN), and 36.1% (106) were smokers. A total of 94 patients had MVD. Patients with MVD were older and more likely to have diabetes (DM) and HTN than their counterparts. Only age and DM were found to be significant independent predictors of MVD. The risk of developing MVD was higher in diabetics, with adjusted odds ratios (ORs) [95% CI] of 2.47 [1.23-4.97; p=0.011]. Conclusion: In conclusion, we showed that age and DM are independent predictors of MVD in a young Pakistani adult population presenting with STEMI. However, none of the other risk factors, such as obesity, male gender or smoking, were found to be significantly associated with MVD in Pakistani adults with premature CAD. Although significantly associated, HTN does not prove to be an independent predictor of multivessel CAD in young adults.
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- 2021
208. Solvent Processing and Ionic Liquid-Enabled Long-Range Vertical Ordering in Block Copolymer Films with Enhanced Film Stability
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Maninderjeet Singh, Ali Ammar, Joseph Strzalka, Jack F. Douglas, Ali Masud, Kshitij Sharma, Wafa Tonny, Tanguy Terlier, Wenjie Wu, and Alamgir Karim
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Range (particle radiation) ,Materials science ,Polymers and Plastics ,Organic Chemistry ,Processing methods ,Inorganic Chemistry ,Solvent ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Ionic liquid ,Materials Chemistry ,Copolymer ,Thin film - Abstract
Rapid and reliable processing methods for forming ordered block copolymer (BCP) materials with low defect density in a thin film geometry are required for many nanotechnology applications. Vertical...
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- 2021
209. Myeloid malignancies with translocation t(4;12)(q11‐13;p13): molecular landscape, clonal hierarchy and clinical outcomes
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François Lifermann, Jean-Alain Martignoles, Anne Quinquenel, Vincent Parinet, Christine Lefebvre, Pierre Hirsch, Mélanie Martin, Sabine Defasque, Florence Nguyen-Khac, Matthieu Decamp, Laurence Simon, Dominique Penther, Nadia Ali-Ammar, Elise Chapiro, Odile Maarek, Chrystele Bilhou-Nabera, Baptiste Gaillard, Agathe Maillon, Jean-Baptiste Micol, Marine Baron, Nathalie Auger, Stéphanie Struski, Damien Roos-Weil, Sylvie Tondeur, Marie-Joelle Mozziconacci, Audrey Bidet, Service d'Hématologie clinique [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Hôpital Haut-Lévêque [CHU Bordeaux], CHU Bordeaux [Bordeaux], Hôpital Robert Debré, Service d'Hémato-oncologie [CHU Saint-Louis], Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Universitaire [Grenoble] (CHU), Laboratoire CERBA [Saint Ouen l'Aumône], Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC), Centre Hospitalier Universitaire de Reims (CHU Reims), Service de Génétique [CHU Caen], CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Centre Hospitalier de Dax, Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département d'hématologie [Gustave Roussy], Institut Gustave Roussy (IGR), Génétique (Biologie pathologie), Département de biologie et pathologie médicales [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de Recherche Saint-Antoine (CR Saint-Antoine), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Service d'immunologie et hématologies biologiques [CHU Saint-Antoine], Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), HAL-SU, Gestionnaire, École Pratique des Hautes Études (EPHE), and Université de Toulouse (UT)-Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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Male ,Oncology ,Myeloid ,[SDV]Life Sciences [q-bio] ,Chromosomal translocation ,Translocation, Genetic ,chemistry.chemical_compound ,0302 clinical medicine ,hemic and lymphatic diseases ,12) ,In Situ Hybridization, Fluorescence ,Aged, 80 and over ,CHIC2 ,Middle Aged ,Immunohistochemistry ,3. Good health ,[SDV] Life Sciences [q-bio] ,Leukemia, Myeloid, Acute ,medicine.anatomical_structure ,RUNX1 ,030220 oncology & carcinogenesis ,Cytogenetic Analysis ,Cohort ,Molecular Medicine ,Female ,Original Article ,Chromosomes, Human, Pair 4 ,medicine.medical_specialty ,IDH1 ,03 medical and health sciences ,Internal medicine ,Biomarkers, Tumor ,medicine ,Humans ,Genetic Predisposition to Disease ,acute myeloid leukaemia ,Genetic Association Studies ,Aged ,Chromosome Aberrations ,Chromosomes, Human, Pair 12 ,Myeloproliferative Disorders ,business.industry ,Myelodysplastic syndromes ,Original Articles ,ETV6 ,Cell Biology ,medicine.disease ,myelodysplastic syndrome ,t(4 ,chemistry ,Fusion transcript ,Myelodysplastic Syndromes ,prognosis ,business ,030215 immunology - Abstract
International audience; Translocation t(4;12)(q11-13;p13) is a recurrent but very rare chromosomal aberration in acute myeloid leukaemia (AML) resulting in the non-constant expression of a CHIC2/ETV6 fusion transcript. We report clinico-biological features, molecular characteristics and outcomes of 21 cases of t(4;12) including 19 AML and two myelodysplastic syndromes (MDS). Median age at the time of t(4;12) was 78 years (range, 56–88). Multilineage dysplasia was described in 10 of 19 (53%) AML cases and CD7 and/or CD56 expression in 90%. FISH analyses identified ETV6 and CHIC2 region rearrangements in respectively 18 of 18 and 15 of 17 studied cases. The t(4;12) was the sole cytogenetic abnormality in 48% of cases. The most frequent associated mutated genes were ASXL1 (n = 8/16, 50%), IDH1/2 (n = 7/16, 44%), SRSF2 (n = 5/16, 31%) and RUNX1 (n = 4/16, 25%). Interestingly, concurrent FISH and molecular analyses showed that t(4;12) can be, but not always, a founding oncogenic event. Median OS was 7.8 months for the entire cohort. In the 16 of 21 patients (76%) who received antitumoral treatment, overall response and first complete remission rates were 37% and 31%, respectively. Median progression-free survival in responders was 13.7 months. Finally, t(4;12) cases harboured many characteristics of AML with myelodysplasia-related changes (multilineage dysplasia, MDS-related cytogenetic abnormalities, frequent ASXL1 mutations) and a poor prognosis.
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- 2021
210. SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration
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Syed Ali Ammar Taqvi, Ali Awad, Azizul Buang, and Ushtar Arshad
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021110 strategic, defence & security studies ,Environmental Engineering ,Artificial neural network ,Computer science ,General Chemical Engineering ,0211 other engineering and technologies ,02 engineering and technology ,010501 environmental sciences ,01 natural sciences ,Backpropagation ,Set (abstract data type) ,Support vector machine ,Environmental Chemistry ,Statistical dispersion ,Safety, Risk, Reliability and Quality ,Algorithm ,Dust explosion ,Predictive modelling ,0105 earth and related environmental sciences ,Test data - Abstract
Data-driven models for predicting fire and explosion-related properties have been improved greatly in recent years using machine-learning algorithms. However, choosing the best machine learning approach is still a challenging task. Therefore, in this study, the predictability comparisons have been made with the different machine learning methods used to model the MIT for iron dust. The MIT of iron dust was determined using the Godbert-Greenwald furnace for seventy unique combinations of dispersion pressures and dust concentrations. The data has been divided into 'Training Set' and 'Testing Set'. The implementation and efficacy of machine learning and statistical approaches have been demonstrated through real-time experimental results. The support vector machines (SVM) regression models were trained with various kernel functions to enhance the performance of the resultant model. The cubic kernel function was found suitable for training SVMs. Besides, a feed-forward artificial neural network with the backpropagation algorithm and a polynomial surface fit model have also been developed to predict the MIT. For statistical phenomena, such as MIT, predictive modelling based on real-time experimental data is critical. If an accurate estimate of the combustible dust's minimum ignition temperature is confirmed, it is possible to ensure that the temperatures of the surrounding hot surfaces do not rise to that level, preventing an explosion. An overall comparison of predictive models has been given with unseen test data set. All the trained models yielded comparable results with unseen test data set. However, the SVM model with Bayesian optimizer approach can effectively assess the risk of ignition based on dust MIT under the influence of dispersion pressure and dust cloud concentration among all the approaches adopted in this study.
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- 2021
211. Modelling and optimization study to improve the filtration performance of fibrous filter
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Mohd Danish, Syed Mohd Yahya, Syed Ali Ammar Taqvi, Saeed Rubaiee, Anas Ahmed, Sayed Ameenuddin Irfan, and Mustafa Alsaady
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Environmental Engineering ,Health, Toxicology and Mutagenesis ,Public Health, Environmental and Occupational Health ,Environmental Chemistry ,General Medicine ,General Chemistry ,Pollution - Abstract
Fibrous filter made up of non-woven material was utilized in many industrial applications for increasing the collection efficiency and the quality factor. But there exists a competing effect among the fibre diameter, filtration efficiency, pressure drop, and sometime type of aerosol (liquid or solid) plays a crucial role in the performance of the fibrous filter. To avoid overdesigning of the filter along with better performance, optimum set of parameters are to be decided before the manufacturing process. In the current effort, the desirability approach and along with the "Response Surface Methodology (RSM)" were considered to optimize filtration efficiency and pressure drop simultaneously. In this perspective, the impact of Filtration velocity (v), Basis weight (ϕ), Particle diameter (dp), and Packing fraction (α) on filtration efficiency (η) and pressure drop (Pd) was studied. Based on the outcome, the predicted values lie within experimental data through smart agreement. The maximum percentage (%) error was only 3% and 6% filtration efficiency (η) and pressure drop (Pd), which determine the effectiveness of this useful model. The most dominant factor which affects the filtration efficiency (η) was found to be the Basis weight (ϕ), followed by packing fraction. However, in the case of pressure drop, the most dominant factors were filtration speed followed by the pachining fraction. Moreover, artificial neural network (ANN) models are developed for the prediction of filtration efficiency and pressure drop. The model accuracy has been estimated by calculating "Mean Square Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R2)". Both models show promising results when compared with experimental data with the R2 value of 98.50-99.86. The optimized values of the maximum filtration efficiency and minimum pressure drop simultaneously were obtained for v = 5, ϕ = 59.60, dp = 52.23, α = 0.24 according to desirability approach.
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- 2022
212. Epidemiology of in-hospital burn patients in a tertiary hospital in Damascus, Syria
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André Torbey, Mosa Shibani, Mhd Amin Alzabibi, Ahmad Saad Eddin, and Ali Ammar
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Background According to the WHO, 300,000 people die every year as a result of burn injuries. In this study, we aim to discuss the epidemiology and outcomes of burn patients who were admitted to Al Mowasat hospital in Damascus, Syria. Methods A retrospective cohort research was conducted from January 2017 to December 2021. All accessible paper-based medical records of burn injury patients admitted to the hospital were evaluated. ABSI score was used to classify injury degree. Chi-square test and logistic regression model were used to study the association between demographic variables and outcomes. Results Of the 641 patients, 367 (57.3%) were male and 274 (42.7%) were female. Children represented more than half of our sample 377 (58.8%). The most common cause of burn was flame burns 393 (61.3%), followed by scalding 199 (31.0%). Most of the patients had a more than 10% TBSA of burns 511(79.7%). Children had higher rates of leaving against medical advice (25.7%) than adults (17.8%). Children and patients who needed respiratory support were more likely to die than others 2.545 (1.079–6.004), 9.208 (4.061–20.879), respectively. Conclusion The situation of burn patients in Syria requires more attention and care to reduce mortality and morbidity. Focusing on the young age group to prevent such life-limiting injuries should be a priority.
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- 2022
213. Turkish Attributions to Marriage: the Role of Family of Origin Functioning and Perceived Parenting
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Körük, Serdar, primary, Kurt, Ali Ammar, additional, and Karababa, Alper, additional
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- 2022
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214. A Novel Arabic Words Recognition System Using Hyperplane Classifier
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Abdegadir Khalifa, Mahmoud, primary, Mohammed Ali, Ammar, additional, Alsadai, Saif Ali, additional, Zheng, Liying, additional, Fadel Alwan, Nahla, additional, and Saeed Mahdi, Gadiaa, additional
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- 2022
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215. Corrigendum to “Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling” [Fuel 293 (2021) 120485]
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Rashid, Tazien, primary, Ali Ammar Taqvi, Syed, additional, Sher, Farooq, additional, Rubab, Saddaf, additional, Thanabalan, Murugesan, additional, Bilal, Muhammad, additional, and ul Islam, Badar, additional
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- 2022
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216. Learning to recognize shapes with a sensory substitution system: A longitudinal study with 4 non-sighted adolescents.
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Katia Rovira, Olivier Gapenne, and Amal Ali Ammar
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- 2010
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217. TCTAP A-015 Acute Hyperglycemia, a Rabble-Rouser or Innocent Bystander? A Prospective Analysis of Clinical Implications of Acute Hyperglycemia in STE-ACS Patients Undergoing Primary Percutaneous Coronary Interventions
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Rajesh Kumar, Jawaid Akbar Sial, Ali Ammar, Tahir Saghir, Naveedullah Khan, Kubbra Rahooja, Nadeem Qamar, Musa Karim, and Abdul Hakeem
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Cardiology and Cardiovascular Medicine - Published
- 2023
218. Cognitive Radio Networks Based on Users' Reputation Scheme
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Mahmoud Ali Ammar and Salahedin A. Rehan
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Botany ,Mathematics - Abstract
Cognitive Radio (CR) can be defined as a technology that allows users to change the transmission parameters as required to increase the spectrum efficiency. Because of this mechanism, some threats emerge. Two major threats are found in CR. The first is the Primary User Emulation Attack (PUEA), where the attacker is able to transmit at a forbidden time slot effectively, emulating the signals of the primary user. This makes all the system users believe that the spectrum is occupied by a good primary user. The second threat is known as the spectrum sensing data falsification attack (SSDF). In this case, the attackers send false observation information, intentionally or unintentionally, to the fusion center (FC), causing it to make the wrong decision. In this study, the scheme presented was based on a users' reputation for secure spectrum access in cognitive radio networks. Each Secondary User (SU) performs local sensing and then forwards the sensing results to the main fusion center FC. The FC makes the final decision about the presence of the primary user based on the proposed approach. The schemes substantially reduce the effect of cognitive users with low reputation values while improving the impact of cognitive users with the high reputation values on the final decision. It has been verified that the proposed approach can improve the sensing performance under the impact of a different number of reliable and unreliable users in a CR network. Results based on simulation show that the proposed scheme outperforms the traditional majority scheme despite a high number of malicious users.
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- 2021
219. Multistage carbon dioxide compressor efficiency enhancement using waste heat powered absorption chillers
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Syed Ali Ammar Taqvi, Salman Raza Naqvi, Fahim Uddin, Muhammad Naqvi, and Sheikh Ehsan Ul Haq
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Chiller ,Technology ,Science ,Power saving ,Aspen HYSYS® ,Maskinteknik ,power saving ,Aspen HYSYS ,law.invention ,chemistry.chemical_compound ,law ,Waste heat ,centrifugal compressor ,Safety, Risk, Reliability and Quality ,Waste management ,chiller ,Mechanical Engineering ,Centrifugal compressor ,General Energy ,chemistry ,Carbon dioxide ,Absorption refrigerator ,Environmental science ,Gas compressor ,compressor performance - Abstract
The performance of a multistage centrifugal compressor is highly influenced by the ambient conditions, especially during the summer seasons; their capacity shrinks and thus the power requirement for compression will increase. The prime cause of these constraints is the interstage cooling limitations. This study simulates various suction conditions of a multistage compressor on Aspen HYSYS® and suggests its debottlenecking by making the suction temperatures comparable to winter seasons. This is achieved by installing an additional exchanger at the downstream of each interstage cooler, cooling down the gas further by using absorption refrigeration chillers. These chillers are powered up by the waste heat recovered from the exhaust steam coming from the prime mover, steam turbine, of the same compressor. This modification will save a considerable amount of power (663 kW), net savings (Gross Savings – OPEX: 72 289 $/y), and reduce the carbon footprint (954 ton/y) of the overall process.
- Published
- 2021
220. Perceptive Supplementation for an Access to Graphical Interfaces.
- Author
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Mounia Ziat, Charles Lenay, Olivier Gapenne, John Stewart, Amal Ali Ammar, and Dominique Aubert
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- 2007
- Full Text
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221. Machine Learning-Based Predictive Model for Tensile and Flexural Strength of 3D-Printed Concrete.
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Ali, Ammar, Riaz, Raja Dilawar, Malik, Umair Jalil, Abbas, Syed Baqar, Usman, Muhammad, Shah, Mati Ullah, Kim, In-Ho, Hanif, Asad, and Faizan, Muhammad
- Subjects
- *
TENSILE strength , *FLEXURAL strength , *PREDICTION models , *STANDARD deviations , *CONCRETE construction , *KRIGING , *PRINT materials - Abstract
The additive manufacturing of concrete, also known as 3D-printed concrete, is produced layer by layer using a 3D printer. The three-dimensional printing of concrete offers several benefits compared to conventional concrete construction, such as reduced labor costs and wastage of materials. It can also be used to build complex structures with high precision and accuracy. However, optimizing the mix design of 3D-printed concrete is challenging, involving numerous factors and extensive hit-and-trail experimentation. This study addresses this issue by developing predictive models, such as the Gaussian Process Regression model, Decision Tree Regression model, Support Vector Machine model, and XGBoost Regression models. The input parameters were water (Kg/m3), cement (Kg/m3), silica fume (Kg/m3), fly ash (Kg/m3), coarse aggregate (Kg/m3 & mm for diameter), fine aggregate (Kg/m3 & mm for diameter), viscosity modifying agent (Kg/m3), fibers (Kg/m3), fiber properties (mm for diameter and MPa for strength), print speed (mm/sec), and nozzle area (mm2), while target properties were the flexural and tensile strength of concrete (MPa data from 25 literature studies were collected. The water/binder ratio used in the dataset ranged from 0.27 to 0.67. Different types of sands and fibers have been used, with fibers having a maximum length of 23 mm. Based upon the Coefficient of Determination (R2), Root Mean Square Error (RMSE), Mean Square Error (MSE), and Mean Absolute Error (MAE) for casted and printed concrete, the SVM model performed better than other models. All models' cast and printed flexural strength values were also correlated. The model's performance has also been checked on six different mix proportions from the dataset to show its accuracy. It is worth noting that the lack of ML-based predictive models for the flexural and tensile properties of 3D-printed concrete in the literature makes this study a novel innovation in the field. This model could reduce the computational and experimental effort required to formulate the mixed design of printed concrete. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
222. Effect of Foliar Spraying with Potassium Silicate and Some Microelements on the Yield of Apple cv. Ibrahimi.
- Author
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AL-MOHAMMADI, HEBA YAHYA HAMAD and ISMAIL, ALI AMMAR
- Published
- 2023
223. Lightweight 2D Map Construction of Vehicle Environments Using a Semi-Supervised Depth Estimation Approach †.
- Author
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Kashevnik, Alexey and Ali, Ammar
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OBJECT recognition (Computer vision) ,SEMANTIC computing ,THREE-dimensional imaging ,COMPUTER network architectures ,MACHINE learning - Abstract
This paper addresses the problem of constructing a real-time 2D map for driving scenes from a single monocular RGB image. We presented a method based on three neural networks (depth estimation, 3D object detection, and semantic segmentation). We proposed a depth estimation neural network architecture that is fast and accurate in comparison with the state-of-the-art models. We designed our model to work in real time on light devices (such as an NVIDIA Jetson Nano and smartphones). The model is based on an encoder–decoder architecture with complex loss functions, i.e., normal loss, VNL, gradient loss (dx, dy), and mean absolute error. Our results show competitive results in comparison with the state-of-the-art methods, as our method is 30 times faster and smaller. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
224. Unity and Closure: A Performatist Reading of Poet X by Elizabeth Acevedo
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Ali Ammar
- Published
- 2022
225. Golding’s Narrowed Attempts at Defining Human Nature in Lord of the Flies
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Sajjad Ahmad, Ali Ammar, and Rabia Khan
- Subjects
Race (biology) ,Character (mathematics) ,Ethnocentrism ,Polymers and Plastics ,Aesthetics ,Political system ,Sociology ,Social issues ,Single character ,General Environmental Science - Abstract
This paper is an attempt to prove the assumption that William Golding is a failure who claims to have written his novel Lord of the Flies on the idea of human nature. He considers that he wrote about human nature in general, but he is a Western and has those ideas of being superior to other people. He takes all his characters from among the English boys. Not a single character who is shown as civilized belongs to a marginalized race. This act of Golding reveals his ethnocentric attitude. He does not bother to include a female character in this novel. All his characters are male. It shows his androcentric nature. Though he tries to put the evil like every man whenever he wants to show the brutality or savagery of a human, in the form of his chosen English boys, he portrays them as the hunters of Africa or paints them with mud. In doing so, he is affiliating savagery with the blacks and Indians. Thus, he propagates the same stereotypical concept of “Orients” as uncivilized and savages. Golding relies solely on the biological factors of human nature. He ignores to consider any social problem for the conflict of the two groups of boys. These social factors may include political system, religion, or Marxism. This research work has proved that Golding’s self-critique of human nature in the novel is a failure on his part.
- Published
- 2021
226. Identity Construction through Cultural Heritage of Folklore
- Author
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null Ali Ammar, null Tayabba Batool Tahir, and null Abdul Razaque Channa
- Subjects
General Engineering - Abstract
The great diversity in Pakistani folklore is evident from the distinguishedvariety of cultural folk assets of each province of Pakistan. The current paperexplores and analyses the most popular folklores, in the genres of both proseand poetry from the perspective of quest for identity. The paper tries to findout the answer to the question if Pakistani cultural heritage of oral traditioni.e., folklores have quest for identity or go beyond that. The paper alsoexplores the motives behind the search for identity. The translated folkloresare then analyzed qualitatively using interpretive method, particularly throughthe perspective of hermeneutic-interpretive research based on performancetheory of folklores. Hermeneutic-interpretive research technique is chosenhere because the folklores are based on the ideological and cultural traditionsof a specific region, and the proper understanding requires the study in thespecific relevant domain of hermeneutics. This research is important for thepropagation, preservation and revival of Pakistani culture as presentedthrough folklores. This research aims at developing the interest and draw theattention of researchers on cultures and traditions to revive and enliven therichness and fertility of varieties in Pakistani culture
- Published
- 2021
227. Modelling of the minimum ignition temperature (MIT) of corn dust using statistical analysis and artificial neural networks based on the synergistic effect of concentration and dispersion pressure
- Author
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Azizul Buang, Ushtar Arshad, and Syed Ali Ammar Taqvi
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021110 strategic, defence & security studies ,Work (thermodynamics) ,Environmental Engineering ,General Chemical Engineering ,0211 other engineering and technologies ,Humidity ,Autoignition temperature ,02 engineering and technology ,Mechanics ,010501 environmental sciences ,01 natural sciences ,R-value (insulation) ,law.invention ,Ignition system ,Polynomial and rational function modeling ,law ,Environmental Chemistry ,Environmental science ,Safety, Risk, Reliability and Quality ,Dispersion (chemistry) ,Dust explosion ,0105 earth and related environmental sciences - Abstract
Corn dust is a highly energetic substance and frequently found in the food manufacturing industries. It not only poses occupational safety hazards such as suffocation or lung disorders for exposed persons but is often extremely explosible in ignition sensitive environment. This probability of explosion can be assessed and minimised with in-depth knowledge of controlling parameters/physical properties that trigger the ignition. This research takes into account the minimum ignition temperature (MIT), which is the control parameter for explosion risk assessment. MIT relies on multiple factors, such as moisture content, particle size, dust concentration, dispersion pressure, humidity and environmental temperature. In this study, the ignition of corn dust clouds was analysed using a Godbert Greenwald furnace for different combinations of dispersion pressure and concentrations. Test findings revealed that the minimum ignition temperature rises with a decrease in particle size. However, the minimum ignition temperature decreases with increased dispersion pressure and concentration until a specific value known as optimal value for ignition. Moreover, this work focuses on a statistical approach of polynomial surface fitting to forecast the MIT based on the combined impact of concentration and dispersion pressure on MIT for corn dust in a real-time experiment. The minimum value of the Bayesian Information Criterion (BIC) was used to select the most appropriate polynomial model due to its authenticity and strong reputation. An artificial neural network (ANN) is also used as a predictive tool to develop a model that can forecast the MIT with a defined combination of dispersion pressures and corn dust concentrations. As soon as an appropriate estimation of this minimum ignition temperature of the combustible dust is confirmed, it is possible to ensure that the temperatures of the surrounding hot surfaces do not rise to that point to prevent the explosion. The predictive results obtained from ANN were found to be good when compared with the polynomial surface fit. Several models with different numbers of neurons have been trained with different transfer functions. For the training, validation, and test phases, R values are around 1.0, i.e., 0.9863, 0.9930, and 0.9893, respectively. The overall R value was 0.9875 for the proposed network. The findings were considered to be acceptable as the overall value of R was close to 1.0. The network obtained sufficiently comparable findings with the research conducted by Kasalova and Balog.
- Published
- 2021
228. A Review on Data‐Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes
- Author
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Lemma Dendena Tufa, Haslinda Zabiri, Fahim Uddin, Abdulhalim Shah Maulud, Syeda Anmol Fatima, and Syed Ali Ammar Taqvi
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Chemical process ,business.industry ,Computer science ,Process Chemistry and Technology ,Filtration and Separation ,Bioengineering ,Machine learning ,computer.software_genre ,Biochemistry ,Industrial and Manufacturing Engineering ,Fault detection and isolation ,Chemical Engineering (miscellaneous) ,Artificial intelligence ,business ,Data-driven learning ,computer - Published
- 2021
229. Plant-wide MPC control scheme for CO2 absorption/stripping system
- Author
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Haslinda Zabiri, Syed Ali Ammar Taqvi, Muhammad Shahbaz, and Tahir Sultan
- Subjects
010302 applied physics ,Computer science ,Natural-gas processing ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Stripping (fiber) ,Setpoint ,Controllability ,Model predictive control ,Control theory ,0103 physical sciences ,Overshoot (signal) ,0210 nano-technology ,Absorption (electromagnetic radiation) - Abstract
The high contents of CO2 in natural gas processing industries cause various issues in the operation, and it is essential to reduce the amount of CO2 using amine-based absorption processes. An efficient and flexible control strategy is highly desirable for CO2 removal in CO2 absorption/stripping system. The excellent performance of Model Predictive Control (MPC) in setpoint tracking and disturbance rejection scenarios could make it a better option for the flexible controllability of a CO2 absorption/stripping plant. MPC performance depends significantly on the accuracy of the identified mathematical model of the plant. The state-space model is believed as the better option for MPC as it represents the plant model with true dynamics. Therefore, this study is focused on the design of the 2 × 2 MPC control strategy in MATLAB® MPC Designer Toolbox using 2nd order continuous-time state-space model. The main aim of this study is to develop a plant-wide control scheme based on MPC for the natural gas absorption/striping system. Step changes in the CO2 composition of sweet gas (±5%) and stripper temperature (±15%) have been introduced in the absorption/stripping simulation model. The results show that the MPC controller has achieved the new setpoint of CO2 composition within 0.5 sec in the setpoint tracking scenario. Similarly, the MPC controller has been able to reject the disturbances successfully introduced as ± 15% step change in stripper temperature within 7.5 sec. Hence, the performance of the MPC controller using the state-space model at higher step changes is adequate with no peak, closer to the setpoint, and no overshoot in the output.
- Published
- 2021
230. Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework
- Author
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Syed Ali Ammar Taqvi, Haslinda Zabiri, Alamin Idris, Abdulhalim Shah Maulud, and Muhammad Nawaz
- Subjects
Chemical process ,Environmental Engineering ,Computer science ,business.industry ,General Chemical Engineering ,Process (computing) ,Pattern recognition ,CUSUM ,Ranging ,02 engineering and technology ,General Chemistry ,021001 nanoscience & nanotechnology ,Biochemistry ,Fault detection and isolation ,020401 chemical engineering ,Principal component analysis ,Control chart ,Artificial intelligence ,EWMA chart ,0204 chemical engineering ,0210 nano-technology ,business - Abstract
Process monitoring techniques are of paramount importance in the chemical industry to improve both the product quality and plant safety. Small or incipient irregularities may lead to severe degradation in complex chemical processes, and the conventional process monitoring techniques cannot detect these irregularities. In this study to improve the performance of monitoring, an online multiscale fault detection approach is proposed by integrating multiscale principal component analysis (MSPCA) with cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts. The new Hotelling's T2 and square prediction error (SPE) based fault detection indices are proposed to detect the incipient irregularities in the process data. The performance of the proposed fault detection methods was tested for simulated data obtained from the CSTR system and compared to that of conventional PCA and MSPCA based methods. The results demonstrate that the proposed EWMA based MSPCA fault detection method was successful in detecting the faults. Moreover, a comparative study shows that the SPE-EWMA monitoring index exhibits a better performance with lower values of missed detections ranging from 0% to 0.80% and false alarms ranging from 0% to 21.20%.
- Published
- 2021
231. Prevalence of Keratoconus in a Population-Based Study in Syria
- Author
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Salman, Abdelrahman, primary, Darwish, Taym, additional, Ghabra, Marwan, additional, Kailani, Obeda, additional, Haddeh, Yusra, additional, Askar, Mohammad, additional, Ali, Ammar, additional, Ali, Ali, additional, and Alhassan, Sara, additional
- Published
- 2022
- Full Text
- View/download PDF
232. Health Wearable IoT (WIoT) Technology Devices Security and Privacy Vulnerability Analysis
- Author
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Saleh, Mohammed, primary, Kdour, Thair, additional, Ferrah, Azzeddine, additional, Ahmed, Hamad, additional, AP, Saleel, additional, Azzawi, Rula, additional, Hassouna, Mohammed, additional, Hamdan, Issam, additional, Aoudi, Samer, additional, Mohammed, Khaleefa, additional, and Ali, Ammar, additional
- Published
- 2022
- Full Text
- View/download PDF
233. DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information
- Author
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Othman, Walaa, primary, Kashevnik, Alexey, additional, Ali, Ammar, additional, and Shilov, Nikolay, additional
- Published
- 2022
- Full Text
- View/download PDF
234. Laparoscopic Roux-en-Y Gastric Bypass and Fundus Resection for the Treatment of Severe Gastroesophageal Reflux After Laparoscopic Greater Curvature Plication
- Author
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Holländer, Sebastian, primary, Gäbelein, Gereon, additional, Spiliotis, Antonios E., additional, Metzner, Hannes, additional, Al-Ali, Ammar, additional, Scherber, Philipp Robert, additional, Birk, Dieter, additional, and Glanemann, Matthias, additional
- Published
- 2022
- Full Text
- View/download PDF
235. Restoring Strength of Reinforced Concrete Horizontally Curved Box Beam with Opening Using Reactive Powder Concrete (RPC) and FRP Techniques
- Author
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Hashim, Ameer Mohsin, primary and Ali, Ammar Yasier, additional
- Published
- 2022
- Full Text
- View/download PDF
236. Maladie résiduelle et leucémie myéloïde chronique
- Author
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Dine, G., Rehn, Y., Brahimi, S., Ali Ammar, N., Gaillard, B., Bocq, Y., and Fumagalli, G.
- Published
- 2013
- Full Text
- View/download PDF
237. ACUTE STREPTOCOCCAL PNEUMONIAE PERICARDITIS CAUSING TAMPONADE AND CARDIAC ARREST IN A PATIENT WITH COVID-19 AND AN ANOMALOUS LEFT CORONARY ARTERY
- Author
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Omar Masarweh, Ali Ammar, and Ubaldo Gonzalez Morales
- Subjects
Cardiology and Cardiovascular Medicine - Published
- 2023
238. Energy, exergy, economic, environment, exergo-environment based assessment of amine-based hybrid solvents for natural gas sweetening
- Author
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Aisha Ellaf, Syed Ali Ammar Taqvi, Durreshehwar Zaeem, Faizan Ul Haque Siddiqui, Bilal Kazmi, Alamin Idris, Razan A. Alshgari, and Mohammed Sheikh Saleh Mushab
- Subjects
Environmental Engineering ,Health, Toxicology and Mutagenesis ,Public Health, Environmental and Occupational Health ,Environmental Chemistry ,General Medicine ,General Chemistry ,Pollution - Abstract
Natural gas is the cleanest form of fossil fuel that needs to be purified from CO
- Published
- 2023
239. Effective waste heat recovery from engine exhaust using fin prolonged heat exchanger with graphene oxide nanoparticles
- Author
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Haseeb Tariq, Ramisha Sajjad, Muhammad Zia Ullah Khan, Kaouther Ghachem, Ali Ammar, Sami Ullah Khan, and Lioua Kolsi
- Subjects
Inorganic Chemistry ,Organic Chemistry ,Drug Discovery ,Electrochemistry ,Physical and Theoretical Chemistry - Published
- 2023
240. Applications of machine learning in thermochemical conversion of biomass-A review
- Author
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Muzammil khan, Salman Raza Naqvi, Zahid Ullah, Syed Ali Ammar Taqvi, Muhammad Nouman Aslam Khan, Wasif Farooq, Muhammad Taqi Mehran, Dagmar Juchelková, and Libor Štěpanec
- Subjects
Fuel Technology ,General Chemical Engineering ,Organic Chemistry ,Energy Engineering and Power Technology - Published
- 2023
241. A molecular simulation study on amine-functionalized silica/polysulfone mixed matrix membrane for mixed gas separation
- Author
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Khadija Asif, Serene Sow Mun Lock, Syed Ali Ammar Taqvi, Norwahyu Jusoh, Chung Loong Yiin, and Bridgid Lai Fui Chin
- Subjects
Excipients ,Environmental Engineering ,Polymers ,Health, Toxicology and Mutagenesis ,Public Health, Environmental and Occupational Health ,Environmental Chemistry ,General Medicine ,General Chemistry ,Amines ,Carbon Dioxide ,Silicon Dioxide ,Pollution - Abstract
Polysulfone (PSF) based mixed matrix membranes (MMMs) are one of the most broadly studied polymeric materials used for CO
- Published
- 2023
242. TACTOS: A Special Computer Interface for the Reading and Writing of 2D Forms in Blind People.
- Author
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Olivier Gapenne, Amal Ali Ammar, Charles Lenay, and Katia Rovira
- Published
- 2003
243. Pneumothorax and Pneumomediastinum Secondary to COVID-19 Disease Unrelated to Mechanical Ventilation
- Author
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Mai Vo, Lara Tucker, Steve J. Carlan, Rumi Ahmed Khan, Ali Ammar, Satyanarayana Mukkera, Catherine Vatsis, Antonia Poma, Sachin R Patel, and Wael Nasser
- Subjects
Mechanical ventilation ,RC86-88.9 ,business.industry ,medicine.medical_treatment ,Incidence (epidemiology) ,Medical emergencies. Critical care. Intensive care. First aid ,Case Report ,030208 emergency & critical care medicine ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,medicine.disease ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,Pneumothorax ,Anesthesia ,medicine ,Middle East respiratory syndrome ,Intubation ,Pneumomediastinum ,Respiratory system ,business ,Coronavirus - Abstract
In the recent worldwide coronavirus 2019 pandemic, a notable rise in pneumomediastinum and pneumothorax complications has been witnessed in numerous mechanically ventilated patients infected with severe acute respiratory syndrome coronavirus 2. Most cases have reported these complications as barotrauma from mechanical ventilation with COVID-19 disease. We aim to report three polymerase chain reaction-confirmed COVID-19 patients who developed pneumomediastinum and pneumothorax unrelated to mechanical ventilation. We originally analyzed 800 patients with COVID-19 disease at Orlando Regional Medical Center from March 1, 2020, to July 31, 2020, of which 12 patients developed pneumomediastinum and pneumothorax in their hospital course. Interestingly, three patients developed pneumomediastinum on chest imaging prior to intubation. We present these three patients, one female and two males, ages of 42, 64, and 65, respectively, who were diagnosed with COVID-19 disease through nasopharyngeal sampling tests with acute respiratory distress syndrome. Spontaneous pneumomediastinum and pneumothorax are potential complications of COVID-19 disease in the lungs unrelated to mechanical ventilation. This is similar to previous outbreaks of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) diseases. Further investigation is needed to define the causality of pneumomediastinum in nonintubated COVID-19 patients to define the incidence of disease.
- Published
- 2020
244. TCT-202 Pre-Ballooning in High Thrombus Laden STEMIs: An Independent Predictor of Slow Flow/No-Reflow in Patients Undergoing Emergent Percutaneous Coronary Revascularization
- Author
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Dr.Rajesh Kumar, Nadeem Qamar, Tahir Saghir, Jawaid Sial, Ali Ammar, Musa Karim, and Ashok Kumar
- Subjects
Cardiology and Cardiovascular Medicine - Published
- 2022
245. Lipid Profile Levels in Smokers
- Author
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Gulfam Javed, Ahmed Hakeem Hafiz, Ayesha Tahir, Naila Ikram, Ali Ammar, and Natasha Zahid
- Abstract
Objective: The objective of this study was to record mean lipid profiles in smokers Methodology: All 200 (Two hundred) smokers were enrolled from Cardiology Department, Punjab Institute of cardiology Lahore during 2015 to 2016, the demographic profile of the patients’ was taken. Their ECG was done to ensure that they do not have any cardiac disease. After 12 hours over night fasting, blood samples were withdrawn from a cubital vein into blood tubes. The blood samples were sent to hospital laboratory for the analysis of lipid profile. Serum triglyceride (TG) level by GPO – PAP enzymatic colorimetric method, Serum total cholesterol (TC) level by CHOD – PAP enzymatic colorimetric method, Serum HDL-c level by precipitation method, Serum LDL-c level by using Friedewald’s formula, LDL-c = TC ˗ (HDL + TG/5), Serum VLDL-c level by using Friedewald’s formula VLDL-c = TG/5. Results: Of 200 cases 45%(n=90) were between 18-40 years of age while 55%(n=110) were between 41-60 years of age, mean+sd was calculated as 41.98+11.02 years, 89.5%(n=179) were male and 10.5%(n=21) were females, mean lipid profiles in smokers was calculated as 188.38+16 55 for total cholesterol, 157.33+15.93 triglycerides, 42.47+4.88 HDL, 114.44+13.43 LDL and 31.47+3.19 for VLDL. Conclusion: the smokers are at higher risk of developing dyslipidemia. Our results are encouraging for smokers to quit their habits to live a healthy life. Keywords: Smokers, lipid profile, mean
- Published
- 2022
246. COVID-19 Antibodies in Vaccinated Healthcare Workers: The Security Currency
- Author
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Ali Ammar, Jehangir A Shah, Waqar Khan, Rajesh Kumar, Abdul H Shaikh, Farheen Ali, Mehwish Zehra, Jawaid A Sial, Tahir Saghir, and Zahid U Rehman
- Subjects
General Engineering - Abstract
Background The coronavirus disease 2019 (COVID-19) vaccinations have brought new hope to the world and have a significant psychosocial impact on communities as well as healthcare systems around the globe. This study aimed to assess the antibody titer level among healthcare workers after at least six weeks of the second dose of the COVID-19 vaccine. Methods Participants of the study were healthcare workers of a tertiary care cardiac center including doctors, nursing staff, paramedics, and office staff. All participants were fully vaccinated with recommended double dose of available vaccine at least six weeks before the study. A blood sample of five milliliters was collected from all the participants by a trained phlebotomist at a local laboratory, and COVID-19 antibodies titer level was assessed using Food and Drug Administration (FDA) approved kit with a standard range of 1.0. This qualitative assay detects IgG and IgM as total antibodies targeted against nucleocapsid antigen performed on a fully automated cobas® 6000 analyzer (F. Hoffmann-La Roche Ltd, Basel, Switzerland) using electrochemiluminescence technology. COVID-19 antibodies titer levels were categorized as ≤100, 101-250, and250. Results A total of 151 healthcare workers were included, of which 70.2% (106) were male. The history of COVID-19 infection before vaccination was found in 41.1% (62). The mean duration since the last dose of the vaccine was 89.6±40.07 days. In total 71.5% (108) had antibodies titer level of250, which were mostly found in participants of younger age and who had previous COVID-19 infection. However, antibodies titer level of250 were observed in 84% (21/25) at 61 to 90 days of vaccination, which declined to 80% (20/25) after 91 to 120 days and to 57.1% (32/56) after120 days of vaccination. Conclusions Good antibodies titer levels were observed in vaccinated healthcare workers, especially in those who were younger and had previous COVID-19 infection.
- Published
- 2022
247. Assessing Knowledge of First Aid Management of Burns Amongst Syrian Private University Students
- Author
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Dima Alistwani, Rowida Alaa Addin, and Ali Ammar
- Subjects
education - Abstract
Background:Burn related injuries (BRIs) are relatively common, mostly accidental, and highly preventable forms of injury. First aid management of BRIs can have a significant impact on the outcome and morbidity of these injuries, yet there seems to be an inadequacy in the knowledge related to burn management worldwide. Hence, our study aimed to delineate the level of knowledge and awareness of burn first aid treatment (BFAT) amongst undergraduate students, and the impact training courses had on that knowledge.Methods:A cross-sectional study was conducted among students of the Syrian Private University using a self-administered questionnaire. The questionnaire consisted of: socio-demographic characteristics and questions assessing their knowledge of first aid. The statistical study was conducted using SPSS software. The demographic characteristics were described, and the sample distribution was described according to the study variables that measure students' awareness of burns measures. The averages of the independent groups were also compared using parametric tests (T-Test Independent Samples, One way ANOVA).Results:The students obtained an average score (4.79, ±1.467) in knowledge of first aid burn treatment, as there was an insufficient degree of awareness among the participants. Gender, college, and parents' educational level were not statistically significant factors, whereas students with better economic level and students with higher school years and those who received training achieved higher mean scores of knowledge (P-value Conclusions:The majority of students had insufficient general knowledge about first aid for burns, highlighting the need to incorporate this topic into the curriculum. In addition, awareness should be spread in the community through multimedia and formal training sessions, both of which are necessary to raise awareness and reduce the incidence of burn-related injuries.
- Published
- 2022
248. QUANTIFICATION OF THROMBUS BURDEN AS AN INDEPENDENT PREDICTOR OF INTRA-PROCEDURAL NO-REFLOW IN PATIENTS WITH ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION UNDERGOING PRIMARY PERCUTANEOUS CORONARY REVASCULARIZATION
- Author
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Rajesh Kumar, Kamran Ahmed Khan, Jehangir Ali Shah, Ali Ammar, Dileep Kumar, Sanam Khowaja, Jawaid Akbar Sial, Samra Kazmi, Muhammad Murtaza, and Musa Karim
- Subjects
Adult ,Male ,Time Factors ,Thrombosis ,General Medicine ,Middle Aged ,Coronary Angiography ,Cross-Sectional Studies ,Percutaneous Coronary Intervention ,cardiovascular system ,Humans ,No-Reflow Phenomenon ,ST Elevation Myocardial Infarction ,Female ,cardiovascular diseases ,Aged - Abstract
Background: Aim of this study was to perform quantitative evaluation of high thrombus burden (Grade ≥4) as an independent predictor of slow/no reflow phenomenon during primary percutaneous coronary interventions (PCI) of patients with ST-segment elevation myocardial infarction (STEMI). Methods: In this analytical cross-sectional study we included consecutive patients who have undergone primary PCI for STEMI at a tertiary care cardiac center of the Pakistan. High thrombus burden was defined as angiographic thrombus grade ≥ 4. The thrombolysis in myocardial infarction (TIMI) flow rate < III was defined as slow/no reflow phenomenon. Results of multivariate logistic regression analysis for slow/no reflow phenomenon were reported as odds ratio (OR). Results: This analysis included 747 patients, 78.2% (584) patients were male and mean age was 55.82±11.54 years. High thrombus burden was observed in 68.1% (509) of the patients. Slow/no reflow phenomenon was observed in 33.6% (251) which was more common among patients in high thrombus burden group, 39.7% (202/509) vs. 20.6% (49/238); p
- Published
- 2022
249. Simulation of steam gasification of halophyte biomass for syngas production using Aspen Plus®
- Author
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Saud Hashmi, Syed Ali Ammar Taqvi, Zainul Abideen, Jazib Pervaiz Ahmed, Muhammad Talha, Muhammad Amir Bhatti, Haris Shahid, Salman Raza Naqvi, and Fares Almomani
- Subjects
Renewable Energy, Sustainability and the Environment - Published
- 2022
250. The Burden of Short-term Major Adverse Cardiac Events and its Determinants after Emergency Percutaneous Coronary Revascularization: A Prospective Follow-up Study
- Author
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Rajesh Kumar, Jehangir Ali Shah, Bashir Ahmed Solangi, Ali Ammar, Mukesh Kumar, Naveedullah Khan, Jawaid Akbar Sial, Tahir Saghir, Nadeem Qamar, and Musa Karim
- Subjects
Cardiology and Cardiovascular Medicine - Abstract
Primary percutaneous coronary intervention (PCI) remains recommended reperfusion therapy for patients with acute ST-elevation myocardial infarction. This study aimed to evaluate the short-term major adverse cardiac events (MACE) and their determinants among patients who underwent primary PCI at a tertiary care cardiac center of Karachi, Pakistan.A cohort of patients who underwent primary PCI were followed for the MACE. Multivariable Cox-regression analysis was performed with backward conditional variable selection and hazard ratio (HR) along with 95% confidence interval (CI) were obtained.A total of 1150 patients were included, of which follow-up was successful in 95.8% (1102) and median follow-up duration was 6.1 [6.9-5.1] months. MACE were observed in 210 (19.1%) patients with 14.2% (157) all-cause mortality, 5.4% (60) cardiac mortality, 0.7% (8) stroke, 3.6% (40) re-hospitalization due to heart failure, and 6.1% (67) myocardial infarction requiring revascularization. Independent predictors of short-term MACE were found to be admission glucose ≥200 mg/dL (1.66 [1.25-2.21]), serum creatinine ≥1.5 mg/dL (1.52 [1.02-2.27]), intubation (2.81 [1.98-4.00]), history of PCI (2.06 [1.45-2.93]), history of cerebrovascular accident (2.64 [1.34-5.2]), left ventricular end-diastolic pressure ≥20 mmHg (1.81 [1.3-2.51]), triple vessel diseases (1.43 [1.08-1.9]), culprit left main or proximal left anterior descending artery (1.77 [1.32-2.35]), pre-ballooning (2.14 [1.2-3.82]), and thrombus grade ≥4 (2.21 [1.51-3.24]).A significant number of individuals undergone primary PCI are still vulnerable to subsequent short-term MACE, hence, systematic follow-up and early risk stratification should be considered as an integral part of STEMI management protocol specially for patients with high-risk features as highlighted herein.
- Published
- 2022
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