143 results on '"Junaid Ali Khan"'
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2. An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
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Mubeen ul Basharat, Junaid Ali Khan, Hazem Ghassan Abdo, and Hussein Almohamad
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Muzaffarabad district ,landslide susceptibility maps ,optimization ,machine learning techniques ,risk assessment ,Environmental technology. Sanitary engineering ,TD1-1066 ,Environmental sciences ,GE1-350 ,Risk in industry. Risk management ,HD61 - Abstract
AbstractLandslides result in the devastation of property and loss of lives. This study assesses landslide susceptibility by employing geographic information systems (GIS) and machine learning techniques, that is, support vector machine (SVM) and artificial neural network (ANN), with the integration of advanced optimization techniques, that is, particle swarm optimization (PSO). The landslide-inducing factors considered in this study include fault density, lithology, road density, slope, elevation, flow direction, aspect, earthquake intensity, curvature, Normalized Difference Water Index (NDWI), waterways density, rainfall, and Normalized Difference Vegetation Index (NDVI). The resulting landslide susceptibility maps (LSMs) showed that the areas falling under the high and very high susceptibility class have higher rainfall levels, weak lithology, high NDWI, and flow direction. The accuracy assessment of the techniques showed that ANN with an Area Under the Curve (AUC) of 0.81 performed better than SVM with an AUC of 0.78 without the optimization. Similarly, the performance of ANN was also better than SVM using PSO. During the integrated modeling, the AUC of PSO-ANN was 0.87, whereas the AUC of PSO–SVM was 0.84. The accuracy assessment of the produced LSMs also showed a similar trend in terms of accuracy percentage as that of the models.
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- 2023
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3. Association of a high-fat diet with I-FABP as a biomarker of intestinal barrier dysfunction driven by metabolic changes in Wistar rats
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Aisha Mahmood, Muhammad Naeem Faisal, Junaid Ali Khan, Humaira Muzaffar, Faqir Muhammad, Jazib Hussain, Jawad Aslam, and Haseeb Anwar
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High-fat diet ,Metabolic disorders ,Obesity ,Dyslipidemia ,Intestinal fatty acid binding protein ,Insulin and leptin resistance ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background The epithelial lining of the gut expresses intestinal fatty-acid binding proteins (I-FABPs), which increase in circulation and in plasma concentration during intestinal damage. From the perspective of obesity, the consumption of a diet rich in fat causes a disruption in the integrity of the gut barrier and an increase in its permeability. Hypothesis There is an association between the expression of I-FABP in the gut and various metabolic changes induced by a high-fat (HF) diet. Methods Wistar albino rats (n = 90) were divided into three groups (n = 30 per group), viz. One control and two HF diet groups (15 and 30%, respectively) were maintained for 6 weeks. Blood samples were thus collected to evaluate the lipid profile, blood glucose level and other biochemical tests. Tissue sampling was conducted to perform fat staining and immunohistochemistry. Results HF diet-fed rats developed adiposity, insulin resistance, leptin resistance, dyslipidemia, and increased expression of I-FABP in the small intestine compared to the control group. Increased I-FABP expression in the ileal region of the intestine is correlated significantly with higher fat contents in the diet, indicating that higher I-FABP expression occurs due to increased demand of enterocytes to transport lipids, leading to metabolic alterations. Conclusion In summary, there is an association between the expression of I-FABP and HF diet-induced metabolic alterations, indicating that I-FABP can be used as a biomarker for intestinal barrier dysfunction.
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- 2023
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4. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
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Muhammad Attique Khan, Seifedine Kadry, Pritee Parwekar, Robertas Damaševičius, Asif Mehmood, Junaid Ali Khan, and Syed Rameez Naqvi
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Gait recognition ,Osteoarthritis ,Video surveillance ,Public security ,Feature fusion ,Transfer learning ,Electronic computers. Computer science ,QA75.5-76.95 ,Information technology ,T58.5-58.64 - Abstract
Abstract Human gait analysis is a novel topic in the field of computer vision with many famous applications like prediction of osteoarthritis and patient surveillance. In this application, the abnormal behavior like problems in walking style is detected of suspected patients. The suspected behavior means assessments in terms of knee joints and any other symptoms that directly affected patients’ walking style. Human gait analysis carries substantial importance in the medical domain, but the variability in patients’ clothes, viewing angle, and carrying conditions, may severely affect the performance of a system. Several deep learning techniques, specifically focusing on efficient feature selection, have been recently proposed for this purpose, unfortunately, their accuracy is rather constrained. To address this disparity, we propose an aggregation of robust deep learning features in Kernel Extreme Learning Machine. The proposed framework consists of a series of steps. First, two pre-trained Convolutional Neural Network models are retrained on public gait datasets using transfer learning, and features are extracted from the fully connected layers. Second, the most discriminant features are selected using a novel probabilistic approach named Euclidean Norm and Geometric Mean Maximization along with Conditional Entropy. Third, the aggregation of the robust features is performed using Canonical Correlation Analysis, and the aggregated features are subjected to various classifiers for final recognition. The evaluation of the proposed scheme is performed on a publicly available gait image dataset CASIA B. We demonstrate that the proposed feature aggregation methodology, once used with the Kernel Extreme Learning Machine, achieves accuracy beyond 96%, and outperforms the existing works and several other widely adopted classifiers.
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- 2021
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5. An Amplified COCOMO-II Based Cost Estimation Model in Global Software Development Context
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Junaid Ali Khan, Saif Ur Rehman Khan, Tamim Ahmed Khan, and Inayat Ur Rehman Khan
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Global software development ,cost estimation ,COCOMO-II ,cost overhead ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Global Software Development (GSD) projects comprise several critical cost drivers that affect the overall project cost and budget overhead. Thus, there is a need to amplify the existing model in GSD context to reduce the risks associated with cost overhead. Motivated by this, the current work aims at amplifying the existing algorithmic model with GSD cost drivers to get efficient estimates in the context of GSD. To achieve the targeted research objective, current state-of-the-art cost estimation techniques and GSD models are reported. Furthermore, the current study has proposed a conceptual framework to amplify the algorithmic COCOMO-II model in the GSD domain to accommodate additional cost drivers empirically validated by a systematic review and industrial practitioners. The main phases of amplification include identifying cost drivers, categorizing cost drivers, forming metrics, assignment of values, and finally altering the base model equation. Moreover, the proposed conceptual model’s effectiveness is validated through expert judgment, case studies, and Magnitude of Relative Estimates (MRE). The obtained estimates are efficient, quantified, and cover additional GSD aspects than the existing models; hence we could overcome the GSD project’s overall risk by implementing the model. Finally, the results indicate that the model needs further calibration and validation.
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- 2021
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6. Empirical Investigation About the Factors Affecting the Cost Estimation in Global Software Development Context
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Junaid Ali Khan, Saif Ur Rehman Khan, Javed Iqbal, and Inayat Ur Rehman
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Global software development ,distributed development ,cost estimation ,systematic review ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Software organization always aims at developing a quality software product using the estimated development resources, effort, and time. Global Software Development (GSD) has emerged as an essential tool to ensure optimal utilization of resources, which is performed in globally distributed settings in various geographical locations. Global software engineering focuses on reducing the cost, increasing the development speed, and accessing skilled developers worldwide. Estimating the required amount of resources and effort in the distributed development environment remains a challenging task. Thus, there is a need to focus on cost estimation models in the GSD context. We nevertheless acknowledge that several cost estimation techniques have been reported. However, to the best of our knowledge, the existing cost estimation techniques/models lack considering the additional cost drivers required to compute the accurate cost estimation in the GSD context. Motivated by this, the current work aims at identifying the other cost drivers that affect the cost estimation in the context of GSD. To achieve the targeted objectives, current state-of-the-art related to existing cost estimation techniques of GSD is reported. We adopted SLR and Empirical approach to address the formulated research questions. The current study also identifies the missing factors that would help the practitioners improve the cost estimation models. The results indicate that previously conducted work ignores the additional elements necessary for the cost estimation in the GSD context. Moreover, the current work proposes a conceptual cost estimation model tailored to fit the GSD context.
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- 2021
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7. An Empirical Investigation of Factors Causing Scope Creep in Agile Global Software Development Context: A Conceptual Model for Project Managers
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Farwah Aizaz, Saif Ur Rehman Khan, Junaid Ali Khan, Inayat-Ur-Rehman, and Adnan Akhunzada
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Scope creep ,agile global software development ,systematic literature review ,scope management ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Scope creep is considered as one of the crucial reasons for the failure of traditional software development projects. The ability to manage and control the change elements on a project, particularly the project scope, is a key to project success. The notion of agile process was introduced to tackle the scope change-related challenges such as scope creep. By adopting an agile-footed process, the development organizations can react to the consistent market changes and client requests. However, continuous change accommodation may negatively impact on the success of the targeted project since the project manager mainly focuses on controlling scope change rather than analyzing its impact on the cost and quality. The agile-process advocates have accepted that this situation could happen even following agile methodology, which prompts on compromising the quality, postponed the plans, increases the cost, plan to modify, and diminished the consumer loyalty. Additionally, the scope-related challenge significantly increases, especially when managing scope creep in Global Software Development (GSD) context. Thus, there is a need to focus on scope creep factors in the context of AGSD. Motivated by this, current work aims at identifying the factors causing scope creep in the context of AGSD. To achieve the targeted objectives, we reported the current state-of-the-art related to existing scope creep models in AGSD context. We performed a systematic literature review and an empirical study to address the formulated research questions. The current study also identifies the additional challenges of scope creep from the industrial perspective. Based on the obtained results, the current work proposes a conceptual model for scope creep to assist the agile practitioners to effectively handle the scope creep, which ultimately increases the project success and forecasts change control effect on a software project. Moreover, the proposed conceptual model’s effectiveness is validated through expert judgment and a case study. The obtained promising results ensure the additional aspects of AGSD; hence, the project manager could overcome the project’s overall risk by implementing the proposed model.
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- 2021
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8. Ensuring Earthquake-Proof Development in a Swiftly Developing Region through Neural Network Modeling of Earthquakes Using Nonlinear Spatial Variables
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Mubeen ul Basharat, Junaid Ali Khan, Umer Khalil, Aqil Tariq, Bilal Aslam, and Qingting Li
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North Pakistan ,earthquake-proof development ,earthquake prediction ,neural network modeling ,spatial variables ,Building construction ,TH1-9745 - Abstract
Northern Pakistan, the center of major construction projects due to the commencement of the China Pakistan Economic Corridor, is among the most earthquake-prone regions globally owing to its tectonic settings. The area has experienced several devastating earthquakes in the past, and these earthquakes pose a severe threat to infrastructure and life. Several researchers have previously utilized advanced tools such as Machine Learning (ML) and Deep Learning (DL) algorithms for earthquake predictions. This technological advancement helps with construction innovation, for instance, by designing earthquake-proof buildings. However, previous studies have focused mainly on temporal rather than spatial variables. The present study examines the impact of spatial variables to assess the performance of the different ML and DL algorithms for predicting the magnitude of short-term future earthquakes in North Pakistan. Two ML methods, namely Modular Neural Network (MNN) and Shallow Neural Network (SNN), and two DL methods, namely Recurrent Neural Network (RNN) and Deep Neural Network (DNN) algorithms, were used to meet the research objectives. The performance of the techniques was assessed using statistical measures, including accuracy, information gain analysis, sensitivity, specificity, and positive and negative predictive values. These metrics were used to evaluate the impact of including a new variable, Fault Density (FD), and the standard seismic variables in the predictions. The performance of the proposed models was examined for different patterns of variables and different classes of earthquakes. The accuracy of the models for the training data ranged from 73% to 89%, and the accuracy for the testing data ranged from 64% to 85%. The analysis outcomes demonstrated an improved performance when using an additional variable of FD for the earthquakes of low and high magnitudes, whereas the performance was less for moderate-magnitude earthquakes. DNN, and SNN models, performed relatively better than other models. The results provide valuable insights about the influence of the spatial variable. The outcome of the present study adds to the existing pool of knowledge about earthquake prediction, fostering a safer and more secure regional development plan involving innovative construction.
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- 2022
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9. Protective effects of Cinnamomum zeylanicum L. (Darchini) in acetaminophen-induced oxidative stress, hepatotoxicity and nephrotoxicity in mouse model
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Zulfia Hussain, Junaid Ali Khan, Arfa Arshad, Palwasha Asif, Haroon Rashid, and Muhammad Imran Arshad
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Cinnamon ,Acetaminophen ,Acute liver injury ,Nephrotoxicity ,Oxidative stress ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Cinnamomum zeylanicum, a widely used spice and flavor, is used in the treatment and prevention of many diseases. In the current study, Balb/c mice were pretreated with cinnamon bark aqueous extract (200 mg/kg/day i.g.) 14 days prior to intragastrically administer single toxic dose of acetaminophen (200 mg/kg). Blood samples were collected for analysis of biochemical and oxidative stress parameters and liver and kidney samples were collected for histopathological analysis. The results indicate that cinnamon aqueous extract exhibit a highly significant preventive potential by ameliorating APAP-induced elevated levels of serum alanine aminotransferase, aspartate aminotransferase, creatinine, urea and macroscopic and histological alterations in liver and kidney. Moreover, significant increase in total oxidant status and decrease in total antioxidant capacity accompanied by APAP exposure, were restored by cinnamon pretreatment. We found that prior administration of cinnamon prevented the toxic changes induced by acetaminophen as confirmed by histopathological examination, more possibly owing to its antioxidant potential. In conclusion, the pretreatment with cinnamon provide potential therapeutic applications in acute liver and kidney injury induced by APAP in experimental animal model and it could have therapeutic potential in oxidative stress associated diseases.
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- 2019
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10. A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images
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Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, and Venkatesan Rajinikanth
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
The excessive number of COVID-19 cases reported worldwide so far, supplemented by a high rate of false alarms in its diagnosis using the conventional polymerase chain reaction method, has led to an increased number of high-resolution computed tomography (CT) examinations conducted. The manual inspection of the latter, besides being slow, is susceptible to human errors, especially because of an uncanny resemblance between the CT scans of COVID-19 and those of pneumonia, and therefore demands a proportional increase in the number of expert radiologists. Artificial intelligence-based computer-aided diagnosis of COVID-19 using the CT scans has been recently coined, which has proven its effectiveness in terms of accuracy and computation time. In this work, a similar framework for classification of COVID-19 using CT scans is proposed. The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. We demonstrate that once this method is performed on a publicly available dataset, this system attains an improved accuracy of 97.9% and the computational time is almost 34 (sec).
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- 2021
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11. Psychosocial-Stress, Liver Regeneration and Weight Gain: a Conspicuous Pathophysiological Triad
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Syeda Momna Ishtiaq, Junaid Ali Khan, and Muhammad Imran Arshad
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Weight gain ,Obesity ,Stress ,Glucocorticoids ,Liver pathophysiology ,Regeneration ,Physiology ,QP1-981 ,Biochemistry ,QD415-436 - Abstract
Psychosocial stress alters several physiological parameters resulting in multiple disorders, particularly compromising the immune system thereby provoking various diseases including liver disorders. However, the plausible underlying mechanisms remain elusive. Recent literature provides mechanistic evidences of detrimental effects of psychosocial stress on physiology of different body organs including liver. The data of stress-induced pathophysiological changes in liver functions and obesity were systematically collected from PubMed, ScienceDirect and the Web of Science Databases published in English. Stress and glucocorticoids (GCs) control food intake and energy expenditure through appetite stimulators neuropeptide Y (NYP) and agouti-related protein (AgRP) in hypothalamus. Principle effectors of the activated hypothalamic-pituitary-adrenal (HPA) axis in response to psychosocial stress are proopiomelanocortin (POMC)-derived adrenocorticotropic hormone (ACTH) and GCs. Stress-induced GCs hyper-secretion triggers glucocorticoid receptor (GR)-dependent transcriptional factor, nuclear factor kappa B (NFκB), which interferes TNFα-IL6 and keap1-Nrf2 pathways in liver regeneration and obesity through fine-tuning of TNFα, IL6 and Nrf2 signaling. In this review, it is contrived upon existing evidence to put forward a model whereby exposure to life-stress has a prominent impact over weight gain and can alter the regenerative mode of a damaged liver through Keap1-Nrf2 and TNFa-IL6 pathways.
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- 2018
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12. Effect of aqueous extract of black pepper and ajwa seed on liver enzymes in alloxan-induced diabetic Wister albino rats
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Maliha Sarfraz, Tanweer Khaliq, Junaid Ali Khan, and Bilal Aslam
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Therapeutics. Pharmacology ,RM1-950 - Abstract
The aim of the present study was to investigate the effects of aqueous extract of black pepper and ajwa seed on liver enzymes in alloxan-induced diabetic Wister albino rats to show the preventive and ameliorating effects in hyperglycemic rats. Rats were divided into 6 groups; normal control rats, diabetic control rats, glibenclamide treated rats, black pepper treated rats, ajwa seed treated rats and black pepper plus ajwa seed treated rats. Hyperglycemia was induced in the treatments groups by a single intraperitoneal injection of alloxan at 150 mg/kg body weight. The extracts were administered via oral incubation, doses were glibenclamide 10 mg/kg, black pepper 50 mg/kg, ajwa seed 500 mg/kg and their mixture 500 mg/kg body weight for a period of 8 weeks. Serum glucose, AST, ALT and ALP were assayed using spectrophotometric method. Results showed that ajwa seed and mixture significantly reduced glucose level. AST level was significantly reduced by mixture treated group. No significant difference was observed between different aqueous extract treated group in ALT and ALP level. The study indicates that black pepper and ajwa seed extract to some extend normalized the glucose and liver enzyme activities in alloxanized diabetic rats. Keywords: Diabetes, Alloxan, Black pepper, Ajwa seed, Liver enzymes
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- 2017
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13. Integrated Strategies for the Control and Prevention of Dengue Vectors with Particular Reference to Aedes aegypti
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Asghar Abbas, Rao Zahid Abbas, Junaid Ali Khan, Zafar Iqbal, Muhammad Mehmood Hayat Bhatti, Zia-u-Din Sindhu, and Muhammad Anjum Zia
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Aedes mosquitoes ,Dengue fever ,Animal culture ,SF1-1100 ,Veterinary medicine ,SF600-1100 - Abstract
Dengue fever (DF) is one of the most threatening vector borne diseases, affecting both humans and animals, causing severe epidemics and has brought the world to take serious steps for its control and prevention. DF is a viral disease transmitted by Aedes mosquitoes. Unfortunately, due to unavailability of vaccine and lack of effective treatment, emphasis is given on its vector control. The only option left for its eradication is to restrict mosquito breeding. This can be achieved by chemical, biological and environment management methods. Use of botanicals is also an alternate and probably most effective approach for controlling DF vector. Community based eradication campaigns including educating people about its prevention and control meseaures and personal prophylaxis also play a vital role to prevent its occurrence. Likewise, use of nanotechnology and micro-emulsion, use of pheromones, insect sterilization techniques has also shown promising results in vector control. Utilization of only one method cannot control this dangerous disease but combination of all above interventions, discussed in the present paper, may prevent the DF vector and ultimately might help in the eradication programs of this disease.
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- 2014
14. Hemato-Biochemical Disruptions by Lambda-Cyhalothrin in Rats
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Asghar Ali, Junaid Ali Khan, Tanweer Khaliq, Ijaz Javed, Faqir Muhammad, Bilal Aslam, and Muhammad Zargham Khan
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Hematology ,Lambda-cyhalothrin ,Metabolic disruption ,Pesticides ,Toxicity ,Animal culture ,SF1-1100 ,Veterinary medicine ,SF600-1100 - Abstract
The present study assessed in vivo endocrine disrupting effect of orally administered lambda-cyhalothrin (LCT) on metabolic hormones and correlated it with hematological instabilities. Adult female albino rats were divided in three equal groups; one kept as control and other two treated with 20 and 40 mg/kg BW LCT, respectively by oral gavage for 14 days. At the end of trial, blood was collected for hormonal and hematological analysis. The results showed that LCT led to reduction in serum triiodothyronine (T3) and thyroxin (T4) level (P
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- 2014
15. Evaluation of some nitrification inhibitors at different temperatures under laboratory conditions
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Rehmat Ali, Hina Kanwal, Zafar Iqbal, Mohammad Yaqub, Junaid Ali Khan, and Tariq Mahmood
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4-Amino-1 ,4-triazole ,1H-benzotriazole ,benzothiazole ,lignosulfonic acid ,nitrification ,pyrazoles ,Agriculture (General) ,S1-972 ,Environmental sciences ,GE1-350 - Abstract
Effect of eight compounds on nitrification of the applied (NH4)2 SO4 was studied in two soils incubated at high (35°C) and moderate (16°C) temperatures. The tested compounds included: 1H-benzotriazole; 4-amino-1,2,4-triazole; benzothiazole; 3-methylpyrazole-1-carboxamide; 4-bromo-3-methylpyrazole; pyrazole; lignosulfonic acid, molecular weight 52000, 6% S; and lignosulfonic acid, molecular weight 12000, 2% S. In the absence of inhibitors, nitrification of the applied ammonium was complete within one week at 35°C, whereas it took two to three weeks at 16°C. At 35°C, ATC was the most effective compound causing 44-71% inhibition up to four weeks when applied at 10 mg kg−1. The inhibitory effect of ATC increased with increasing application rate to 30 mg kg−1 (92–94% inhibition for four weeks). Although another compound viz. PZ applied at 10 mg kg−1 was also effective at 35°C, the inhibitory effect persisted up to three weeks (44-48% inhibition). At 16 °C, six of the test compounds (BTr, ATC, BTh, MPC, BMP and PZ) effectively inhibited nitrification at least up to four weeks. At 16 °C also, ATC was the most effective compound causing 84-90% inhibition for four weeks when applied at 10 mg kg−1. The results suggested that ATC can be a potential nitrification inhibitor for agricultural use under summer as well as under winter soil temperatures prevailing in the Indo-Gangetic Plains of the South Asia.
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- 2012
16. Medicinal plants with gastroprotective potential
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Wafa Majeed, Tanweer Khaliq, Bilal Aslam, Junaid Ali Khan, and Asra Iftikhar
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PUD ,Helicobacter pylori ,Gastroprotective ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Peptic ulcer disease (PUD) is a main source of morbidity and mortality worldwide. It is characterized by erosions in mucosal linings of stomach and duodenum. Non-steroidal anti-inflammatory drugs (NSAIDs) and Helicobacter pylori are mainly responsible for peptic ulcer disease. Histamine receptor blockers and proton pump inhibitors are most prominent therapies in the treatment of peptic ulcer. However, severe adverse effects of NSAIDs have been reported. Therefore, focus is now diverted towards herbal formulations of medicinal plants for the treatment of ulcer. Plants contain different phytoconstituents which are responsible for increasing defensive mechanisms of body against peptic ulcer. The current review focuses on the commonly used gastroprotective plants as antiulcer agents.
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- 2015
17. Identification of Input Nonlinear Control Autoregressive Systems Using Fractional Signal Processing Approach
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Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Junaid Ali Khan, and Muhammad Saeed Aslam
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Technology ,Medicine ,Science - Abstract
A novel algorithm is developed based on fractional signal processing approach for parameter estimation of input nonlinear control autoregressive (INCAR) models. The design scheme consists of parameterization of INCAR systems to obtain linear-in-parameter models and to use fractional least mean square algorithm (FLMS) for adaptation of unknown parameter vectors. The performance analyses of the proposed scheme are carried out with third-order Volterra least mean square (VLMS) and kernel least mean square (KLMS) algorithms based on convergence to the true values of INCAR systems. It is found that the proposed FLMS algorithm provides most accurate and convergent results than those of VLMS and KLMS under different scenarios and by taking the low-to-high signal-to-noise ratio.
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- 2013
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18. An Application of Artificial Intelligence for the Joint Estimation of Amplitude and Two-Dimensional Direction of Arrival of Far Field Sources Using 2-L-Shape Array
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Fawad Zaman, Ijaz Mansoor Qureshi, Junaid Ali Khan, and Zafar Ullah Khan
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Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Cellular telephone services industry. Wireless telephone industry ,HE9713-9715 - Abstract
An easy and efficient approach, based on artificial intelligence technique, is proposed to jointly estimate the amplitude, elevation, and azimuth angles of far field sources impinging on 2-L-shape array. In these proposed artificial intelligence techniques, the metaheuristics based on genetic algorithm and simulated annealing are used as global optimizers assisted with rapid local version of pattern search for optimization of the adaptive parameters. The performance metric is employed on a fitness evaluation function depending on mean square error which is optimum and requires single snapshot to converge. The proposed approaches are easy to understand, and simple to implement; the genetic algorithm specifically hybridized with pattern search generates fairly good results. The comparison of the given schemes is carried out with 1-L-shape array, as well as, with parallel-shape array and is found to be in good agreement in terms of accuracy, convergence rate, computational complexity, and mean square error. The effectiveness and efficiency of the given schemes are examined through Monte Carlo simulations and their inclusive statistical analysis.
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- 2013
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19. Software Requirements Prioritization in the context of Global Software Development.
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Kaaenat Ali, Junaid Ali Khan, Farwah Aizaz, and Mansoor Ahmed
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- 2021
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20. An Empirical Investigation on Cost Estimation Challenges in Agile Software Development (ASD) Context.
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Syed Abu Saeed, Junaid Ali Khan, Saira Naeem, and Saif Ur Rehman Khan 0001
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- 2021
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21. An Empirical Investigation on Software Cost Estimation Techniques and Barriers on Agile Software Development in Software Industry of Pakistan.
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Farwah Aizaz, Uzair Iqbal Janjua, Haroon Zafar, Junaid Ali Khan, and Irfan Kazim
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- 2021
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22. Evaluation of therapeutic effects of aqueous cinnamon extract against obesity associated dysregulation of pituitary-adrenal axis
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Mubashir Abbas, Arslan Shaukat, Neha Asghar, Tahir Ali, Iqra Tabassam, Shahzil Manzoor, Faiza Nadeem, and Junaid Ali Khan
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General Nursing ,Education - Abstract
Obesity is distinguished by unwanted and surplus accumulation of lipids in body principally in adipocytes. Inactive lifestyle and dietary irregularities are considered as premiers among a variety of obesogenic risk factors. Obesity is associated with variations in the concentration of trophic and tropic hormones from pituitary gland affecting different body parts and other endocrine glands including adrenal gland. Current study was design to explore the anti-obesity potential of cinnamon (Cinnamomum verum) against high sugar and high fat induced hyper-activity of pituitary-adrenal (PA) axis and obesity. Twenty-five healthy Wistar albino female rats were selected as model animal. Body weight, oral glucose tolerance test, serum cortisol, hematology and histopathological analysis were performed. The high sugar and high fat induced increase in body eight was decline by cinnamon administration. Hematological analysis revealed a significant decreased concentration of RBCs and hemoglobin and increased WBCs and platelet count following sub-acute exposure of high sugar and high fat changes were attenuated by cinnamon. High sugar and fat associated elevated serum cortisol was normalized after cinnamon exposure. Moreover, cinnamon protected the histopathological alterations following high sugar and fat administration, showed protective effects of Cinnamon against obesity associated dysregulation of PA axis and metabolic impairment.
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- 2023
23. Car Number Plate Recognition (CNPR) system using multiple template matching.
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Junaid Ali Khan and Munam Ali Shah
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- 2016
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24. Opuntia ficus indica (L.) fruit extract alleviates oxidative stress through activation of dual oxidases and Keap1/Nrf2 signaling cascades in high-fat-diet associated atherosclerosis rats
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Noreen Aslam, Muhammad Naeem Faisal, Junaid Ali Khan, and Wafa Majeed
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Health, Toxicology and Mutagenesis ,Toxicology - Abstract
Atherosclerosis is a metabolic disorder characterized by chronic inflammation associated with progressive thickening and hardening of the large to medium-sized arteries due to plaque formation. The study aims to evaluate the antioxidative, anti-inflammatory, and hypolipidemic efficacy of Opuntia ficus-indica (OFI) fruit extract against the high-fat-diet associated atherosclerotic rat model. In-vitro qualitative and quantitative phytochemical screening of OFI fruit extract revealed the significant presence of total phenolic content and total flavonoid contents. In-vitro antioxidant activity of fruit extract was determined through 2,2-diphenyl-1-picrylhydrazyl and FRAP assays that have shown their protective efficacy against the overproduction of reactive oxygen species. Results revealed that the level of total oxidant stress was significantly (P
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- 2022
25. Evolutionary Computational Intelligence in Solving the Fractional Differential Equations.
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Raja Muhammad Asif Zahoor, Junaid Ali Khan, and Ijaz Mansoor Qureshi
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- 2010
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26. Heuristic computational approach using swarm intelligence in solving fractional differential equations.
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Raja Muhammad Asif Zahoor, Junaid Ali Khan, and Ijaz Mansoor Qureshi
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- 2010
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27. Swarm Intelligence for the Solution of Problems in Differential Equations.
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Junaid Ali Khan, Raja Muhammad Asif Zahoor, and Ijaz Mansoor Qureshi
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- 2009
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28. COVID-19 and comorbidities of hepatic diseases in a global perspective
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Syeda Momna Ishtiaq, Sultan Ali, Muhammad Imran Arshad, Junaid Ali Khan, Rizwan Aslam, and Aqsa Ahmad
- Subjects
Epidemiology ,Comorbidity ,Bioinformatics ,Pathophysiology ,Sepsis ,Pathogenesis ,03 medical and health sciences ,Liver disease ,0302 clinical medicine ,Cholestasis ,Humans ,Medicine ,Hepatitis ,Liver injury ,SARS-CoV-2 ,business.industry ,Prophylaxis ,Liver Diseases ,Gastroenterology ,COVID-19 ,Minireviews ,General Medicine ,medicine.disease ,030220 oncology & carcinogenesis ,Abnormal Liver Function Test ,030211 gastroenterology & hepatology ,Liver function ,business - Abstract
The worldwide outbreak of coronavirus disease 2019 (COVID-19) has challenged the priorities of healthcare system in terms of different clinical management and infection transmission, particularly those related to hepatic-disease comorbidities. Epidemiological data evidenced that COVID-19 patients with altered liver function because of hepatitis infection and cholestasis have an adverse prognosis and experience worse health outcomes. COVID-19-associated liver injury is correlated with various liver diseases following a severe acute respiratory syndrome-coronavirus type 2 (SARS-CoV-2) infection that can progress during the treatment of COVID-19 patients with or without pre-existing liver disease. SARS-CoV-2 can induce liver injury in a number of ways including direct cytopathic effect of the virus on cholangiocytes/hepatocytes, immune-mediated damage, hypoxia, and sepsis. Indeed, immediate cytopathogenic effects of SARS-CoV-2 via its potential target, the angiotensin-converting enzyme-2 receptor, which is highly expressed in hepatocytes and cholangiocytes, renders the liver as an extra-respiratory organ with increased susceptibility to pathological outcomes. But, underlying COVID-19-linked liver disease pathogenesis with abnormal liver function tests (LFTs) is incompletely understood. Hence, we collated COVID-19-associated liver injuries with increased LFTs at the nexus of pre-existing liver diseases and COVID-19, and defining a plausible pathophysiological triad of COVID-19, hepatocellular damage, and liver disease. This review summarizes recent findings of the exacerbating role of COVID-19 in pre-existing liver disease and vice versa as well as international guidelines of clinical care, management, and treatment recommendations for COVID-19 patients with liver disease.
- Published
- 2021
29. A new approach to study combination mixture organic solvent ethylene carbonate with lithium-ion for alkali-ion battery: A density functional theory
- Author
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Junaid Ali Khan, Waqar Uddin, Maaz Khan, Shafiq Ur Rehman, Munir Ahmad, Muhammad Fawad, Shuangxi Wang, Rabah Khenata, S. Bin Omran, Shah Khalid, and Wenqi Huang
- Subjects
lcsh:TN1-997 ,Materials science ,Coordination number ,chemistry.chemical_element ,02 engineering and technology ,01 natural sciences ,Ethylene carbonate (EC) ,Ion ,Biomaterials ,chemistry.chemical_compound ,Electron affinity ,Optimization energy ,0103 physical sciences ,Density functional theory (DFT) ,Physics::Chemical Physics ,lcsh:Mining engineering. Metallurgy ,Ethylene carbonate ,010302 applied physics ,Metals and Alloys ,Li+ ion battery ,021001 nanoscience & nanotechnology ,Alkali metal ,Surfaces, Coatings and Films ,Solvent ,chemistry ,Ceramics and Composites ,Physical chemistry ,Lithium ,Absorption (chemistry) ,0210 nano-technology - Abstract
Using first-principles calculations, we predicted different structures of lithium (Li) atoms with solid electrolytes (e.g., ethylene carbonate (EC)) and their coordination number (n = 3) for the first time. Additionally, we explored the unique properties of the EC absorption of the Li atom using both the equilibrium EC solvent and complex cluster of Li+. Vibrational spectral analysis confirmed that only one type of Li coordinates with EC molecules. The coordination number of EC molecules increases with decreasing minimization or optimization energy and the charge of Li ions. Due to electron affinity and ion charges, only the optimized energy investigation supports the coordination of the EC solvent, which can be calculated by Li+Bn n = 1–3, where B is the organic solvent (ethylene).
- Published
- 2021
30. Hepatoprotective Activity of Nigella sativa and Piper nigrum against Concanavalin A-Induced Acute Liver Injury in Mouse Model
- Author
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Bilal Aslam and Junaid Ali Khan
- Subjects
Acute liver injury ,Piper ,General Veterinary ,biology ,Traditional medicine ,business.industry ,Concanavalin A ,Nigella sativa ,biology.protein ,Medicine ,business ,biology.organism_classification - Abstract
Nigella sativa and Piper nigrum are implicated in the treatment of various disorders, especially in the management of metabolic, infectious and hepatorenal ailments. However, data on the mechanism behind therapeutic potential of N. sativa and P. nigrum in liver diseases is scarce. The present study investigated the hepatoprotective potential of 70% methanolic extract of N. sativa (NSE) and P. nigrum (PNE) at varying dose levels (100 to 400 mg/kg body weight) against concanavalin A (conA)-induced liver injury. Qualitative phytochemical analysis of plant extracts was performed. Acute hepatic injury was induced by administering intraperitoneally 12mg/kg conA in Balb/c mice. The extent of hepatic injury was measured by analysing serum biochemical parameters, liver antioxidant stress assay and histopathology. Data were analysed statistically. NSE and PNE showed dosedependent hepatoprotective efficacy by lowering the conA-dependent rise in liver transaminase level. Treatment with NSE (400 mg/Kg) and PNE (400 mg/Kg) ameliorated conA-induced alterations in serum oxidative stress markers, biochemical parameters, liver function markers and histopathology. NSE indicated greater effectiveness to ameliorate the acute hepatic injury in comparison with PNE at the same dose. Collectively, pretreatment with NSE and PNE attenuated the liver injury induced by conA, might be through alleviating the antioxidant capacity of experimental mice
- Published
- 2021
31. Enhanced wound healing activity of nano ZnO and nano Curcuma longa in third-degree burn
- Author
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Shah Nawaz, Ambreen Ashar, Ashar Mahfooz, Iqra Sarwar, Amjad Islam Aqib, Junaid Ali Khan, Wangyuan Yao, Zeeshan Ahmad Bhutta, Muhammad Fakhar-e-Alam Kulyar, Muhammad Shoaib, Muhammad Ijaz Saleem, and Abid Rashid
- Subjects
Treated group ,Materials science ,Third-Degree Burn ,biology ,Materials Science (miscellaneous) ,Composite number ,technology, industry, and agriculture ,Healing time ,Positive control ,02 engineering and technology ,Cell Biology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,biology.organism_classification ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Nano ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,Curcuma ,0210 nano-technology ,Wound healing ,Biotechnology ,Biomedical engineering - Abstract
Burns are caused by various external factors, such as radiation, chemicals, electricity, hot surfaces or liquids, which can seriously damage the integrity of the skin. Due to the lack of blood vessel formation, immunosuppression, and sensitivity to various infections, third-degree burns can damage the entire skin layer and delay the healing process. Therefore, this study was planned to evaluate the therapeutic effects of nano ZnO, nano CUR alone and in the composite form in third-degree burns. Topical 1% w/w skin ointments of nano ZnO, Curcuma longa (C. longa) nanoparticles (nano-CUR) and a composite of ZnO and C. longa nanoparticles (nano ZnO/CUR composite) were formulated for the treatment of burn wounds after characterization. A total of 25 rabbits from the animal house were grouped in 4 treatment (nano ZnO, nano CUR, nano ZnO/CUR and positive control) groups with 5 rabbits in each, while 5th group as a negative control group. These rabbits of four treatment groups were branded with the red-hot iron bar having a diameter of 10 mm for 15 seconds to create two burn wounds on each rabbit after induction of anesthesia. Healing time and wound contraction rate were conducted at 7th, 14th, 21st and 28th day after wound infliction while histopathological examination was conducted at 28th day after woud infliction. The statistical evaluation showed that nano ZnO/CUR composite group took less time to heal wound (avg, 24.25D ± 0.5) as compared to other groups of nano ZnO (26.25D ± 0.5), nano CUR (28D ± 0.82) and positive control (36.25D ± 0.5) with a similar pattern as observed for contraction rate of the wound. Histopathological analysis showed higher collagen deposition, vascularization, angiogenesis and fibrosis by nano ZnO/CUR composite treated group as compared to other groups. The study concluded that the application of nano ZnO/CUR composite ointment will heal third-degree burn wounds rapidly as compared to solus alone application.
- Published
- 2021
32. Deep Learning and Improved Particle Swarm Optimization Based Multimodal Brain Tumor Classification
- Author
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Shuihua Wang, Ayesha Bin T. Tahir, Junaid Ali Khan, Majed Alhaisoni, Yunyoung Nam, Kashif Javed, and Muhamamd Attique Khan
- Subjects
Computer science ,business.industry ,Deep learning ,Brain tumor ,Particle swarm optimization ,Pattern recognition ,medicine.disease ,Computer Science Applications ,Biomaterials ,Mechanics of Materials ,Modeling and Simulation ,medicine ,Artificial intelligence ,Electrical and Electronic Engineering ,business - Published
- 2021
33. An Empirical Investigation of Factors Causing Scope Creep in Agile Global Software Development Context: A Conceptual Model for Project Managers
- Author
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Junaid Ali Khan, Saif Ur Rehman Khan, Adnan Akhunzada, Farwah Aizaz, and Inayat-Ur-Rehman
- Subjects
Process management ,General Computer Science ,Scope (project management) ,business.industry ,Computer science ,media_common.quotation_subject ,General Engineering ,Software development ,Scope creep ,systematic literature review ,Context (language use) ,agile global software development ,Project manager ,scope management ,TK1-9971 ,Conceptual model ,General Materials Science ,Electrical engineering. Electronics. Nuclear engineering ,Electrical and Electronic Engineering ,business ,Agile software development ,Change control ,media_common - Abstract
Scope creep is considered as one of the crucial reasons for the failure of traditional software development projects. The ability to manage and control the change elements on a project, particularly the project scope, is a key to project success. The notion of agile process was introduced to tackle the scope change-related challenges such as scope creep. By adopting an agile-footed process, the development organizations can react to the consistent market changes and client requests. However, continuous change accommodation may negatively impact on the success of the targeted project since the project manager mainly focuses on controlling scope change rather than analyzing its impact on the cost and quality. The agile-process advocates have accepted that this situation could happen even following agile methodology, which prompts on compromising the quality, postponed the plans, increases the cost, plan to modify, and diminished the consumer loyalty. Additionally, the scope-related challenge significantly increases, especially when managing scope creep in Global Software Development (GSD) context. Thus, there is a need to focus on scope creep factors in the context of AGSD. Motivated by this, current work aims at identifying the factors causing scope creep in the context of AGSD. To achieve the targeted objectives, we reported the current state-of-the-art related to existing scope creep models in AGSD context. We performed a systematic literature review and an empirical study to address the formulated research questions. The current study also identifies the additional challenges of scope creep from the industrial perspective. Based on the obtained results, the current work proposes a conceptual model for scope creep to assist the agile practitioners to effectively handle the scope creep, which ultimately increases the project success and forecasts change control effect on a software project. Moreover, the proposed conceptual model’s effectiveness is validated through expert judgment and a case study. The obtained promising results ensure the additional aspects of AGSD; hence, the project manager could overcome the project’s overall risk by implementing the proposed model.
- Published
- 2021
34. Prebiotics Supplementation Ameliorates High Fat High Sugar Diet-Associated Oxidative Stress
- Author
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Bilal Aslam, Muhammad Faisal, and Junaid Ali Khan
- Subjects
General Veterinary ,business.industry ,medicine ,High fat high sugar ,Food science ,medicine.disease_cause ,business ,Oxidative stress - Abstract
High fat high sugar (HFHS) diet results in various disorders including oxidative stress. In present study, prebiotics supplementation was given to rats following HFHS diet feeding. The results showed that prebiotics significantly lowered the HFHS-diet associated elevated levels of cholesterol, triglyceride, low density lipids, alkaline phosphatase, blood urea, creatinine, uric acid and total proteins. Prebiotics significantly restored the HFHS-diet induced decrease in total anti-oxidant capacity. The levels of alanine aminotransferase, aspartate aminotransferase, bilirubin, total oxidation status, malondialdehyde, paraoxonase and arylesterase were not significantly different in HFHS-Prebiotics group as compared to control group. Histological analyses of liver, intestine and kidney tissues in HFHS-group showed cytoplasmic vacuolation, mucosal damage, hepatic triad abnormalities, eccentric nuclei, focal necrosis, tubular congestion and neutrophil infiltration which were significantly improved in HFHS+Prebiotics group suggesting ameliorative potential of prebiotics. In conclusion, our results demonstrated that prebiotics possess therapeutic potential in ameliorating HFHS-diet associated alterations in metabolic profile, oxidative stress markers and histological architecture in intestine, liver and kidney tissues
- Published
- 2020
35. Therapeutic intervention of Chenopodium quinoa seeds extract against cigarette smoke-induced acute lung injury
- Author
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Lubna Majeed, Muhammad Naeem Faisal, Junaid Ali Khan, and Wafa Majeed
- Abstract
Lung is the prime organ for respiration, facing health issues when exposed to environment. Acute lung injury due to direct and indirect stimuli provokes an inflammatory response resulting in alveolar epithelial barrier dysfunction, increase membrane permeability and ultimately pulmonary edema. Approximately eight million deaths were reported each year with direct or indirect exposure to smoke. Current study was designed to elucidate the therapeutic efficacy of Chenopodium quinoa seeds extract against cigarette smoke-induced pathophysiological alterations in the lung parenchyma. Results revealed that serum oxidative marker (TOS) were significantly (P Chenopodium quinoa seeds extract against cigarette smoke-induced pathophysiological alterations in the lung parenchyma due to its anti-inflammatory and antioxidant efficacy to restore lung homeostasis.
- Published
- 2022
36. Electronic and optical properties of Tl4GeX3 (X = S, Se and Te) compounds for optoelectronics applications: insights from DFT-computations
- Author
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Zhenqing Yang, Xiaoliang Sun, Guiwu Lu, A. Bouhemadou, Haicheng Wu, Junaid Ali Khan, Guanggang Zhou, Rabah Khenata, Shah Khalid, and Yue Ma
- Subjects
lcsh:TN1-997 ,010302 applied physics ,Materials science ,Band gap ,business.industry ,Metals and Alloys ,Ionic bonding ,02 engineering and technology ,Dielectric ,021001 nanoscience & nanotechnology ,01 natural sciences ,Surfaces, Coatings and Films ,Biomaterials ,Pseudopotential ,Covalent bond ,0103 physical sciences ,Ceramics and Composites ,Density of states ,Optoelectronics ,Density functional theory ,0210 nano-technology ,Ternary operation ,business ,lcsh:Mining engineering. Metallurgy - Abstract
In this work, first-principles computational study on the structural, electronic and optical properties of Tl4GeS3, Tl4GeSe3 and Tl4GeTe3 ternary compounds are presented. The computations are performed with pseudopotential plane wave method based on density functional theory with the generalized gradient approximation of Perdew–Burke and Enzerhof (PBE-GGA). The calculated structural, electronic and optical parameters are consistent with the available experimental results. The computed electronic band structures confirm the semiconducting nature for these compounds with direct band gaps of 0.17 eV, 0.085 eV and 0.015 eV for Tl4GeS3, Tl4GeSe3 and Tl4GeTe3, respectively. Furthermore, the electron charge density distribution indicated that the nature of bonds between Ge and S/Se/Te are covalent nature, whereas Ge and S/Se/Te anions formed ionic bonds. The optical parameters revealed that Tl4GeS3, Tl4GeSe3 and Tl4GeTe3 are highly dielectric materials and has the potential to be beneficial in the optoelectronic device applications. Keywords: Band gap, Density of states, Optical properties, Density functional theory
- Published
- 2020
37. PPARγ signaling in hepatocarcinogenesis: Mechanistic insights for cellular reprogramming and therapeutic implications
- Author
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Syeda Momna Ishtiaq, Muhammad Imran Arshad, and Junaid Ali Khan
- Subjects
Pharmacology ,History ,Carcinoma, Hepatocellular ,Polymers and Plastics ,Carcinogenesis ,Liver Neoplasms ,Cellular Reprogramming ,Industrial and Manufacturing Engineering ,PPAR gamma ,Tumor Microenvironment ,Humans ,Pharmacology (medical) ,Business and International Management ,Signal Transduction - Abstract
Liver cancer or hepatocellular carcinoma (HCC) is leading cause of cancer-related mortalities globally. The therapeutic approaches for chronic liver diseases-associated liver cancers aimed at modulating immune check-points and peroxisome proliferator-activated receptor gamma (PPARγ) signaling pathway during multistep process of hepatocarcinogenesis that played a dispensable role in immunopathogenesis and outcomes of disease. Herein, the review highlights PPARγ-induced effects in balancing inflammatory (tumor necrosis factor alpha (TNF-α), interleukin (IL)-6, IL-1) and anti-inflammatory cytokines (IL-10, transforming growth factor beta (TGF-β), and interplay of PPARγ, hepatic stellate cells and fibrogenic niche in cell-intrinsic and -extrinsic crosstalk of hepatocarcinogenesis. PPARγ-mediated effects in pre-malignant microenvironment promote growth arrest, cell senescence and cell clearance in liver cancer pathophysiology. Furthermore, PPARγ-immune cell axis of liver microenvironment exhibits an immunomodulation strategy of resident immune cells of the liver (macrophages, natural killer cells, and dendritic cells) in concomitance with current clinical guidelines of the European Association for Study of Liver Diseases (EASL) for several liver diseases. Thus, mechanistic insights of PPARγ-associated high value targets and canonical signaling suggest PPARγ as a possible therapeutic target in reprogramming of hepatocarcinogenesis to decrease burden of liver cancers, worldwide.
- Published
- 2022
38. Evaluating the therapeutic potential of white button mushroom (Agaricus bisporus) against DMBA-induced breast cancer in Sprague Dawley rats
- Author
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Junaid Ali Khan, Muhammad Issa Khan, Anam Latif, and Allah Rakha
- Subjects
animal structures ,Antioxidant ,medicine.medical_treatment ,Agaricus ,Biophysics ,DMBA ,Pharmacology ,Antioxidants ,Lipid peroxidation ,Rats, Sprague-Dawley ,chemistry.chemical_compound ,Breast cancer ,Neoplasms ,medicine ,Animals ,Carcinogen ,Mushroom ,business.industry ,fungi ,food and beverages ,Cell Biology ,medicine.disease ,Rats ,chemistry ,Liver function ,Lipid Peroxidation ,business ,psychological phenomena and processes ,Agaricus bisporus ,Food Science - Abstract
The current research work was designed to investigate the protective effects of white button mushroom (Agaricus bisporus) against 7,12-dimethylbenz[a]anthracene (DMBA)-induced breast cancer. Breast cancer was induced in rats by the administration of a single dose of 50 mg/kg DMBA via gavage. The rats were divided into four groups: G1 (negative control group), G2 (positive control group), G3 (rats receiving mushroom extract), and G4 (rats administered with doxorubicin). The mushroom extract significantly (p
- Published
- 2021
39. DIMINISHING MUSHARAKAHIN ISLAMIC BANKS: AN ANALYSIS BASED ON HOME FINANCING
- Author
-
Muhammad Junaid Ali Khan and Abdul Majid
- Abstract
Islamic Banking is one of the fastest growing banking systems in the modern world. It has also achieved significant growth in the Pakistani banking sector in the recent decades. Diminishing Musharakah (DM) is an Islamic mode of finance which not only provides home financing facilities to the customers but also provides other long term financing transaction such as machinery and equipment financing in Islamic banks. In September 2020, DM has the largest share in the Islamic banking financing in Pakistan at 34.5 percent. Considering the widespread acceptance of DM, this paper discusses the shariah structure of DM and its use as a home finance product, specifically its variants, in Islamic Banking Institutions. This paper also clarifies the issues which create confusions in the minds of the common public about Islamic banking products, emphasizing the importance of this product for Islamic Banking Institutions
- Published
- 2021
40. Adiponectin and PPAR: a setup for intricate crosstalk between obesity and non-alcoholic fatty liver disease
- Author
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Junaid Ali Khan, Zulfia Hussain, Syeda Momna Ishtiaq, Muhammad Imran Arshad, and Haroon Rashid
- Subjects
Endocrinology, Diabetes and Metabolism ,Peroxisome Proliferator-Activated Receptors ,Adipose tissue ,Peroxisome proliferator-activated receptor ,030209 endocrinology & metabolism ,Inflammation ,Disease ,Bioinformatics ,Pathogenesis ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Non-alcoholic Fatty Liver Disease ,Diabetes mellitus ,medicine ,Animals ,Humans ,Obesity ,chemistry.chemical_classification ,Adiponectin ,business.industry ,Fatty liver ,nutritional and metabolic diseases ,medicine.disease ,chemistry ,medicine.symptom ,business - Abstract
Adiponectin, a soluble adipocytokine, plays an important role in the functioning of adipose tissue and in the regulation of inflammation, particularly hepatic inflammation. The adiponectin subsequently imparts a crucial role in metabolic and hepato-inflammatory diseases. The most recent evidences indicate that lipotoxicity-induced inflammation in the liver is associated with obesity-derived alterations and remolding in adipose tissue that culminates in most prevalent liver pathology named as non-alcoholic fatty liver disease (NAFLD). A comprehensive crosstalk of adiponectin and its cognate receptors, specifically adiponectin receptor-2 in the liver mediates ameliorative effects in obesity-induced NAFLD by interaction with hepatic peroxisome proliferator-activated receptors (PPARs). Recent studies highlight the implication of molecular mediators mainly involved in the pathogenesis of obesity and obesity-driven NAFLD, however, the plausible mechanisms remain elusive. The present review aimed at collating the data regarding mechanistic approaches of adiponectin and adiponectin-activated PPARs as well as PPAR-induced adiponectin levels in attenuation of hepatic lipoinflammation. Understanding the rapidly occurring adiponectin-mediated pathophysiological outcomes might be of importance in the development of new therapies that can potentially resolve obesity and obesity-associated NAFLD.
- Published
- 2019
41. Silver nano-particles: synthesis and characterization by using glucans extracted from Pleurotus ostreatus
- Author
-
Asma Irshad, Muhammad Shahid, Sumaira Sharif, Junaid Ali Khan, Muhammad Riaz, Nadeem Sarwar, and Haleema Sadia
- Subjects
Materials Science (miscellaneous) ,Size-exclusion chromatography ,macromolecular substances ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,Dynamic light scattering ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,Glucan ,chemistry.chemical_classification ,Pleurotus ,biology ,Chemistry ,Elution ,Silver Nano ,Cell Biology ,021001 nanoscience & nanotechnology ,biology.organism_classification ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,carbohydrates (lipids) ,stomatognathic diseases ,Particle size ,Pleurotus ostreatus ,0210 nano-technology ,Biotechnology ,Nuclear chemistry - Abstract
The extensive use of antibiotics has led to drug-resistant bacteria, which is a major public health issue worldwide. Silver nano-particles have been recognized as efficient broad-spectrum antimicrobial agent. It uses mushroom glucans as reducing and capping agent to reduce its toxicity. In the present work, we performed the characterization of glucans and glucan–AgNPs. The crude glucans were extracted by hot water then fractionated and purified by anion exchange chromatography (DEAE-cellulose 52); the elution of glucans was monitored by phenol sulfuric acid assay. The major fractions were further purified with gel filtration chromatography (Sephadex-G200) then lyophilized. Green synthesis of silver nano-particles was performed by glucans from selected Pleurotus spps. Extracted glucans and synthesized glucan–AgNPs were confirmed by UV–Vis spectra at 190–250 nm and 380–420 nm, respectively. Size of glucan–AgNPs (100.1 nm) was determined by dynamic light scattering. The glucans were characterized by FT-IR, SEM and XRD while glucan–AgNPs were characterized by FT-IR, SEM–EDS, TEM and XRD. Based on FT-IR spectra, the functional groups associated with the glucans and glucan–AgNPs were determined. SEM analysis revealed that the structure of glucan was spongy with asymmetrical particle size while SEM–EDS/TEM analysis revealed the glucan–AgNPs were spherical with size range of 15–45 nm for Pleurotus ostreatus. XRD spectra of glucan showed diffraction peaks at 2θ = 5.9°, 10.1° and 19.6°. By SEM–EDS/TEM analysis, the silver nano-particles against Braggs reflection planes of (111), (200), (220) and (311) in X-ray diffraction, showed diffraction at 2θ = 38.2°, 44.5°, 64.7° and 77.5° in pattern.
- Published
- 2019
42. BIOCHEMICAL AND HISTOPATHOLOGICAL INVESTIGATIONS OF HEPATOPROTECTIVE POTENTIAL OF Phoenix dactylifera AGAINST ISONIAZID INDUCED TOXICITY IN ANIMAL MODEL
- Author
-
Bilal Aslam, Asif Hussain, and Junaid Ali Khan
- Subjects
Soil Science ,Plant Science ,Agronomy and Crop Science ,Food Science - Abstract
Phoenix dactylifera (Ajwa khajur) is pharmacologically important plant because of its hepatoprotective, nephroprotective, gastroprotective, antihyperlipidemic and anticancerous properties. In present study, hepatoprotective effect of Phoenix dactylifera was observed in adult albino rabbits. Isoniazid (INH) is a first line antitubercular agent but it has hepatotoxicity causing potential due to the generation of reactive oxygen species on its prolong use. Thirty adult albino rabbits of either sex were used in this study. Hepatoprotective potential of date palm was screened by using its two doses i.e. 150mg/kg/day and 300mg/kg/day up to 14 days. Results have shown that experimental animals treatment with date palm significantly prevented elevation of liver function enzymes (AST, ALT and ALP). Alteration in oxidative status parameters (TAC, TOS, MDA and catalase) significantly prevented as compared to isoniazid induced hepatotoxic animals. Also, complete blood count evaluation showed increase in blood cells number. All above findings were also confirmed by histopathological studies. Liver tissue samples showed normal hepatocytes architecture in date palm treated groups. Therefore, from the results we can conclude that Phoenix dactylifera fruit possesses hepatoprotective activity and have a mild hematopoietic effect.
- Published
- 2019
43. Seroprevalence of Fasciola hepatica in Small Ruminants of District Chakwal, Punjab, Pakistan
- Author
-
Zia ud Din Sindhu, Dr. Hasnain Javed, Madeh Sadan, and Junaid Ali Khan
- Subjects
Veterinary medicine ,General Veterinary ,Fasciola hepatica ,Seroprevalence ,Biology ,biology.organism_classification - Published
- 2019
44. HEVC Fast Intra-Mode Selection Using World War II Technique
- Author
-
Ammar Armghan, Amir Ijaz, Junaid Tariq, Ayman Alfalou, Junaid Ali Khan, Saad Rehman, Fayadh Alenezi, HITEC University Taxila, Pakistan, Light Scatter Learning (LABISEN-LSL), Laboratoire ISEN (L@BISEN), Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO)-Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO), and Department of Electrical Engineering, Jouf University, Sakaka 2014, ِAljouf, Saudi Arabia
- Subjects
HEVC ,TK7800-8360 ,GTP' ,Computer Networks and Communications ,Computer science ,German tanks problem ,02 engineering and technology ,[SPI]Engineering Sciences [physics] ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Selection (genetic algorithm) ,Block (data storage) ,intra mode ,Frame (networking) ,Process (computing) ,020207 software engineering ,Intra mode ,Hardware and Architecture ,Control and Systems Engineering ,Signal Processing ,020201 artificial intelligence & image processing ,Electronics ,fast encoding ,Compression time ,Algorithm ,Coding (social sciences) - Abstract
International audience; High-Efficiency Video Coding (HEVC) applies 35 intra modes to every block of a frame and selects the mode that gives the best prediction. This brute-force nature of HEVC makes it complex and unfit for real-time applications. Therefore, a fast intra-mode estimation algorithm is presented here based on the classic World War II (WW2) technique known as the ‘German Tanks Problem’ (GTP). This not only is the first article to use GTP for early estimation of intra mode, but also expedites the estimation process of GTP. Secondly, the various elements of the intra process are efficiently mapped to the elements of GTP estimation. Finally, the two variations of GPT are modeled and are also minimum-variance estimates. These experimental results indicate that proposed GTP-based fast estimation reduced the compression time of HEVC from 23.88% to 31.44%.
- Published
- 2021
45. Expelled kidney stones classification using feature fusion
- Author
-
Khurram Shahzad, Faisal Azam, Saddaf Rubab, Saad Rehman, Ayman Alfalou, and Junaid Ali Khan
- Subjects
Feature fusion ,business.industry ,Computer science ,Classifier (linguistics) ,medicine ,Pattern recognition ,Kidney stones ,Artificial intelligence ,business ,medicine.disease - Abstract
Stone accumulation in kidney is a typical disease/ sickness in most countries all around the world. Its frequency rate is continually expanding. It has been observed that, the classification of renal stones prompts an imperative decrease of the re-occurrence. The classification of stones based on particular texture, surface highlights and lab examinations are a standout amongst the most utilized strategies. In this paper we use dataset of explicitly intended for top captured pictures of 454 expelled kidney stones which extracted through urinary or surgical procedure for classification purpose. In this paper different techniques have been learned and applied the specialist’s defined framework to arrange them into defined classes then perform classification process. In this paper we use feature fusion technique to collect as much as possible features. We select VGG16, InceptionV3 and ALEX features for fusion using serial feature fusion method. We choose C-SVM and F-KNN classifier to get improved accuracy of same dataset and predict better correctness’s with the possibilities of expansion of the dataset measure. In initial testing classification accuracy recorded at 83.43%, FNR 19.25%, Precision Rate 88.48% and Sensitivity of 86.51% on CSVM, later on the best testing classification accuracy recorded at 99.5%, FNR 0.1%, Precision Rate 99.90% and Sensitivity of 99.96% on F-KNN.
- Published
- 2021
46. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
- Author
-
Robertas Damasevicius, Junaid Ali Khan, Pritee Parwekar, Muhammad Attique Khan, Seifedine Kadry, Syed Rameez Naqvi, and Asif Mehmood
- Subjects
business.industry ,Computer science ,Deep learning ,Feature selection ,Pattern recognition ,02 engineering and technology ,General Medicine ,Convolutional neural network ,Euclidean distance ,Gait (human) ,020204 information systems ,Kernel (statistics) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Transfer of learning ,Extreme learning machine - Abstract
Human gait analysis is a novel topic in the field of computer vision with many famous applications like prediction of osteoarthritis and patient surveillance. In this application, the abnormal behavior like problems in walking style is detected of suspected patients. The suspected behavior means assessments in terms of knee joints and any other symptoms that directly affected patients’ walking style. Human gait analysis carries substantial importance in the medical domain, but the variability in patients’ clothes, viewing angle, and carrying conditions, may severely affect the performance of a system. Several deep learning techniques, specifically focusing on efficient feature selection, have been recently proposed for this purpose, unfortunately, their accuracy is rather constrained. To address this disparity, we propose an aggregation of robust deep learning features in Kernel Extreme Learning Machine. The proposed framework consists of a series of steps. First, two pre-trained Convolutional Neural Network models are retrained on public gait datasets using transfer learning, and features are extracted from the fully connected layers. Second, the most discriminant features are selected using a novel probabilistic approach named Euclidean Norm and Geometric Mean Maximization along with Conditional Entropy. Third, the aggregation of the robust features is performed using Canonical Correlation Analysis, and the aggregated features are subjected to various classifiers for final recognition. The evaluation of the proposed scheme is performed on a publicly available gait image dataset CASIA B. We demonstrate that the proposed feature aggregation methodology, once used with the Kernel Extreme Learning Machine, achieves accuracy beyond 96%, and outperforms the existing works and several other widely adopted classifiers.
- Published
- 2021
47. 63-level Reduce Switch Asymmetrical Cascaded H-Bridge Multilevel Inverter
- Author
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Saqib Shabbir, Saqib Hayat, Shahzada Sufyan Syed, Junaid Ali Khan, and S. Subhan Syed
- Subjects
Total harmonic distortion ,business.industry ,Computer science ,020209 energy ,020208 electrical & electronic engineering ,Electrical engineering ,Topology (electrical circuits) ,02 engineering and technology ,H bridge ,Hardware_INTEGRATEDCIRCUITS ,0202 electrical engineering, electronic engineering, information engineering ,Inverter ,Voltage source ,business ,Low voltage ,Voltage reference ,Voltage - Abstract
Extensive research has been carried out on multilevel inverters (MLIs) during recent years, as they are used in many applications. The main problem in MLI is high number of Total Harmonic Distortions (THD's) in output at low voltage levels and switching losses because of the use of large number of switches to produce high quality output. This paper presents the design of 63-level Reduce Switch Asymmetrical Cascaded H-Bridge Multi Level Inverter (RS-ASCHBMLI) that can produce high quality output with less THD, without utilizing high number of switches. Inverter design uses asymmetric (unequal) voltage sources as an input. Switching control unit utilizes voltage Reference technique to control level generating circuitry. Level creating circuitry produces only positive levels of voltage across H-Bridge terminals. H-Bridge is used to generate polarities. THD obtain through this technique is 1.02 % by using only nine semiconductor switches.
- Published
- 2020
48. Traditional Features based Automated System for Human Activities Recognition
- Author
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Hafiz Muhammad Junaid Lodhi, Muhammad Attique Khan, Ammar Armghan, Muhammad Nazir, Irfan Haider, and Junaid Ali Khan
- Subjects
Matrix difference equation ,business.industry ,Computer science ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Optical flow ,020206 networking & telecommunications ,Pattern recognition ,Robotics ,02 engineering and technology ,Support vector machine ,Gray level ,Euclidean geometry ,0202 electrical engineering, electronic engineering, information engineering ,Artificial intelligence ,business ,Classifier (UML) - Abstract
Human Activities Recognition (HAR) is an important research topic and its applications are spread in all the fields of computer vision and machine learning including video surveillance, robotics, and name a few more. In this paper, a new traditional feature fusion and selection-based method is proposed for automated HAR. The proposed methodology consists of three core steps- optical flow-based motion region extraction and later ROI detection, shape and gray level difference matrix (GLDM) features are combined in one matrix based on seniority value indexes, and finally, Reyni entropy-controlled Euclidean classifier based best features selection. The final selected features are put to Cubic SVM for final recognition. The validation of the proposed technique is conducted on three datasets- KTH, YouTube, and Weizmann and achieved an accuracy of 99.30%, 99.80%, and 99.60%, respectively. Overall, Cubic SVM outperforms among existing techniques.
- Published
- 2020
49. IL-33 ameliorates liver injury and inflammation in Poly I:C and Concanavalin-A induced acute hepatitis
- Author
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Al-Hafiza Shafia Tehseen Gul, Hilal Ahmad Khan, Muhammad Umar, Junaid Ali Khan, Muhammad Zishan Ahmad, Muhammad Aamir Aslam, Tariq Munir, and Muhammad Imran Arshad
- Subjects
0301 basic medicine ,medicine.medical_specialty ,030106 microbiology ,chemical and pharmacologic phenomena ,Inflammation ,Microbiology ,Hepatitis ,03 medical and health sciences ,Mice ,Internal medicine ,medicine ,Concanavalin A ,Animals ,Fulminant hepatitis ,Liver injury ,biology ,business.industry ,medicine.disease ,Interleukin-33 ,Interleukin 33 ,030104 developmental biology ,Infectious Diseases ,Endocrinology ,Liver ,Poly I ,TLR3 ,biology.protein ,Tumor necrosis factor alpha ,Histopathology ,medicine.symptom ,business - Abstract
The IL-33/ST2 axis is known to be involved in liver pathologies and IL-33 is over-expressed in mouse hepatitis models. We aimed to investigate the proposed protective effect of IL-33 in murine fulminant hepatitis induced by a Toll like receptor 3 (TLR3) viral mimetic, Poly I:C or by Concanavalin-A (ConA). The Balb/C mice were administered intravenously with ConA (15 mg/kg) or Poly I:C (30 μg/mouse) to induce acute hepatitis along with vehicle control. The recombinant mouse IL-33 (rIL-33) was injected (0.2 μg/mouse) to mice 2 h prior to ConA or Poly I:C injection to check its hepato-protective effects. The gross lesions, level of serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), histopathology (H&E staining) and levels of IFNγ and TNFα were measured by ELISA. The gross pathological liver injury induced by Poly I:C or ConA was reduced by rIL-33 administration in mice. The levels of AST and ALT were significantly (P ≤ 0.05) higher in mice challenged with Poly I:C or ConA in comparison to control mice. The rIL-33 pre-treated mice in both Poly I:C and ConA challenge groups showed significantly (P ≤ 0.05) lower levels of AST and ALT, and decreased liver injury (parenchymal and per-vascular necrotic areas) in histological liver sections. The soluble levels of TNFα and IFNγ were significantly (P ≤ 0.05) raised in Poly I:C or ConA challenged mice than control mice. The levels of TNFα and IFNγ were significantly reduced (P ≤ 0.05) in rIL-33 pre-treated mice. In conclusion, the exogenous IL-33 administration mitigated liver injury and inflammation (decreased levels of IFNγ and TNFα) in Poly I:C and ConA-induced acute hepatitis in mice.
- Published
- 2020
50. Appraisal of One Health approach amid COVID-19 and zoonotic pandemics: insights for policy decision
- Author
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Muhammad Imran Arshad, Junaid Ali Khan, Hilal Ahmad Khan, and Bilal Aslam
- Subjects
2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,MEDLINE ,Public relations ,One Health ,Geography ,Food Animals ,Policy decision ,Pandemic ,Correspondence ,Animal Science and Zoology ,business - Published
- 2020
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