Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status

Adnan Muhammad Shah,Xiangbin Yan,Abdul Qayyum 대한의료정보학회 2021 Healthcare Informatics Research Vol.27 No.2

Objectives: Users share valuable information through online smoking cessation communities (OSCCs), which help peoplemaintain and improve smoking cessation behavior. Although OSCC utilization is common among smokers, limitations existin identifying the smoking status of OSCC users (“quit” vs. “not quit”). Thus, the current study implicitly analyzed user-generatedcontent (UGC) to identify individual users’ smoking status through advanced computational methods and real datafrom an OSCC. Methods: Secondary data analysis was conducted using data from 3,833 users of BcomeAnEX.org. Domainexperts reviewed posts and comments to determine the authors’ smoking status when they wrote them. Seven types of featuresets were extracted from UGC (textual, Doc2Vec, social influence, domain-specific, author-based, and thread-based features,as well as adjacent posts). Results: Introducing novel features boosted smoking status recognition (quit vs. not quit) by 9.3%relative to the use of text-only post features. Furthermore, advanced computational methods outperformed baseline algorithmsacross all models and increased the smoking status prediction performance by up to 12%. Conclusions: The results ofthis study suggest that the current research method provides a valuable platform for researchers involved in online cessationinterventions and furnishes a framework for on-going machine learning applications. The results may help practitioners designa sustainable real-time intervention via personalized post recommendations in OSCCs. A major limitation is that onlyusers’ smoking status was detected. Future research might involve programming machine learning classification methods toidentify abstinence duration using larger datasets.

A comparative study of linear control strategies on the aerodynamics twin rotor system

Adnan Qayyum Shah,Muhammad Awais,Muhammad Zafar,Ashfaq Ahmed,Muhammad Mudassar,Muhammad Muneer,Memoona Saif,Abdul Razzaq,Seong Ho Jang,김선형,박영권 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.8

This work presents the comparative study among pole-placement (PP), optimalcontrol using output-feedback (OCOF), linear-quadratic regulator (LQR), and PID controllers for the twin rotor multi-input multi-output system (TRMS). The pitch and yaw are key attributes for stabilizing the TRMS MIMO system and control of flight. The main objective of this study is to use these classical controller techniques to monitor the pitch and yaw angles of TRMS and show the result of these techniques. Simulation results depicts the actual performance and reveals how PP outperforms the other techniques.

Variability and Predictability of Summer Monsoon Rainfall over Pakistan

Adnan Muhammad,Khan Firdos,Rehman Nadia,Ali Shaukat,Hassan Sher Shah,Dogar Muhammad Mubashar,Mehmood Shahbaz,Hasson Shabehul 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.1

Rainfall variability associated with the South Asian Summer Monsoon has increased in recent decades, particularly at the northwestern monsoon margins over Pakistan, leading to more frequent and intense hydro-meteorological extremes that have adversely affected the agrarian economy, water and food security in the country. Devising effective strategies to ensure sustainable development in Pakistan thus requires that the monsoonal rainfall be predicted on an inter-annual scale. Here, we predicted the inter- and intra-annual variability of the monsoonal rainfall over Pakistan and its possible drivers using a linear statistical forecast model of the principal component (PC) regression analysis. For this purpose, highly correlated PCs of the National Centre for Environmental Prediction (NCEP) based sea level pressure, horizontal and meridional winds to the observed rainfall for the period 2001–2013 were ingested in a stepwise multiple regression model, which was further validated for the duration of 2014–2015. Our results suggest that featuring correlation coefficient, mean absolute error, mean bias, and root mean square error of 0.75, 42.23, −14.92 and 60.65, respectively, the model exhibits robust skill in predicting the inter-annual monsoonal rainfall variability at its extreme northwestern margins over Pakistan.

Catalytic activity of metal impregnated catalysts for degradation of waste polystyrene

Jasmin Shah,Muhammad Rasul Jan,Adnan 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

Waste disposal by degradation to selective and desirable products is the major challenge of our modern society. The current study presents cheap, easily achievable, and novel impregnated catalysts on alumina (Al2O3) support for the degradation of waste polystyrene (WPS) into value added products like toluene, ethylbenzene, styrene monomer, and dimer etc. Al2O3 impregnated catalysts were characterized by SEM, XRD, and N2 adsorption/desorption and their catalytic activities were investigated in the degradation of WPS. The WPS degradation experiments were carried out in a batch reactor at 450 ℃. The yield of liquid and styrene monomer was creased with metal impregnated catalysts as compared to nonimpregnated alumina and thermal degradation. Higher yield of liquid and styrene monomer was obtained with 20% Zn–Al2O3 catalyst, 91.54 and 62.88 wt.%, respectively. Impregnation substantially changed the acidity and catalytic properties of alumina in WPS degradation and carbanion may lead to high yield of styrene monomer. The impregnated catalysts performance in terms of high yield of styrene monomer is Zn–Al2O3 > Cu–Al2O3 > Mg–Al2O3 = Al–Al2O3 > Fe–Al2O3 > Al2O3 > thermal.

Conversion of waste polystyrene through catalytic degradation into valuable products

Jasmin Shah,Muhammad Rasul Jan,Adnan 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.8

Waste expanded polystyrene (EPS) represents a source of valuable chemical products like styrene andother aromatics. The catalytic degradation was carried out in a batch reactor with a mixture of polystyrene (PS) andcatalyst at 450 oC for 30 min in case of Mg and at 400 oC for 2 h both for MgO and MgCO3 catalysts. At optimum degradationconditions, EPS was degraded into 82.20±3.80 wt%, 91.60±0.20 wt% and 81.80±0.53 wt% liquid with Mg,MgO and MgCO3 catalysts, respectively. The liquid products obtained were separated into different fractions by fractionaldistillation. The liquid fractions obtained with three catalysts were compared, and characterized using GC-MS. Maximumconversion of EPS into styrene monomer (66.6 wt%) was achieved with Mg catalyst, and an increase in selectivityof compounds was also observed. The major fraction at 145 oC showed the properties of styrene monomer. The resultsshowed that among the catalysts used, Mg was found to be the most effective catalyst for selective conversion intostyrene monomer as value added product.

Plants Disease Phenotyping using Quinary Patterns as Texture Descriptor

( Wakeel Ahmad ),( S. M. Adnan Shah ),( Aun Irtaza ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8

Plant diseases are a significant yield and quality constraint for farmers around the world due to their severe impact on agricultural productivity. Such losses can have a substantial impact on the economy which causes a reduction in farmer's income and higher prices for consumers. Further, it may also result in a severe shortage of food ensuing violent hunger and starvation, especially, in less-developed countries where access to disease prevention methods is limited. This research presents an investigation of Directional Local Quinary Patterns (DLQP) as a feature descriptor for plants leaf disease detection and Support Vector Machine (SVM) as a classifier. The DLQP as a feature descriptor is specifically the first time being used for disease detection in horticulture. DLQP provides directional edge information attending the reference pixel with its neighboring pixel value by involving computation of their grey-level difference based on quinary value (-2, -1, 0, 1, 2) in 0o, 45o, 90o, and 135o directions of selected window of plant leaf image. To assess the robustness of DLQP as a texture descriptor we used a research-oriented Plant Village dataset of Tomato plant (3,900 leaf images) comprising of 6 diseased classes, Potato plant (1,526 leaf images) and Apple plant (2,600 leaf images) comprising of 3 diseased classes. The accuracies of 95.6%, 96.2% and 97.8% for the above-mentioned crops, respectively, were achieved which are higher in comparison with classification on the same dataset using other standard feature descriptors like Local Binary Pattern (LBP) and Local Ternary Patterns (LTP). Further, the effectiveness of the proposed method is proven by comparing it with existing algorithms for plant disease phenotyping.

Synthesis of novel <i>N</i>-(1,3-thiazol-2-yl)benzamide clubbed oxadiazole scaffolds: Urease inhibition, Lipinski rule and molecular docking analyses

Athar Abbasi, Muhammad,Raza, Hussain,Aziz-ur-Rehman, Hussain,Zahra Siddiqui, Sabahat,Adnan Ali Shah, Syed,Hassan, Mubashir,Seo, Sung-Yum Elsevier 2019 Bioorganic chemistry Vol.83 No.-

<P><B>Abstract</B></P> <P>Present work aimed to synthesize some unique bi-heterocyclic benzamides as lead compounds for the <I>in vitro</I> inhibition of urease enzyme, followed by <I>in silico</I> studies. These targeted benzamides were synthesized in good yields through a multi-step protocol and their structures were confirmed by IR, <SUP>1</SUP>H NMR, <SUP>13</SUP>C NMR, EI-MS and elemental analysis. The <I>in vitro</I> screening results showed that most of the ligands exhibited good inhibitory potentials against the urease. Chemo-informatics analysis envisaged that all these compounds obeyed the Lipinski's rule. Molecular docking results showed that <B>7h</B> exhibited good binding energy value (−8.40 kcal/mol) and was bound within the active region of urease enzyme. From the present investigation, it was inferred that some of these potent urease inhibitors might serve as novel templates in drug designing.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Synthesis of bi-heterocyclic scaffolds. </LI> <LI> Structural characterization with spectral analysis. </LI> <LI> Urease inhibition and structure-activity relationship. </LI> <LI> Chemo-informatics and validation of Lipinski rule. </LI> <LI> Molecular docking analysis to ascertain interactions. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Object Tracking With A Robotic Manipulator Mounted On Ground Vehicle Using Image Based Visual Servoing

Muhammad Ahsan Sami,Muhammad Umar Masood,Muhammad Waqar,Muhammad Mujtaba,Abrahim Ali Shah,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal,Adnan Shujah 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

This paper presents an application of a novel approach for detecting and tracking an object with a 2 DOF robotic manipulator which can be equipped with an array of electrically controlled actuators. The said approach utilizes the Image Based Visual Servoing (IBVS) technique. The developed system is able to determine the object pose in real time from features in the image. Object is detected using shaped based approach algorithms of image processing. The position and orientation of the world coordinates of the object being tracked are calculated from the coordinates of the object in image plane using camera’s intrinsic and extrinsic parameters. Experimental results demonstrate the effectiveness of this proposed approach.

Designing of promising medicinal scaffolds for Alzheimer’s disease through enzyme inhibition, lead optimization, molecular docking and dynamic simulation approaches

Hassan, Mubashir,Abbasi, Muhammad Athar,Aziz-ur-Rehman, Muhammad Athar,Siddiqui, Sabahat Zahra,Shahzadi, Saba,Raza, Hussain,Hussain, Ghulam,Shah, Syed Adnan Ali,Ashraf, Muhamamd,Shahid, Muhammad,Seo, Academic Press 2019 Bioorganic chemistry Vol.91 No.-

<P><B>Abstract</B></P> <P>In the designed research work, a series of 2-furoyl piperazine based sulfonamide derivatives were synthesized as therapeutic agents to target the Alzheimer’s disease. The structures of the newly synthesized compounds were characterized through spectral analysis and their inhibitory potential was evaluated against butyrylcholinesterase (BChE). The cytotoxicity of these sulfonamides was also ascertained through hemolysis of bovine red blood cells. Furthermore, compounds were inspected by Lipinki Rule and their binding profiles against BChE were discerned by molecular docking. The protein fluctuations in docking complexes were recognized by dynamic simulation. From our <I>in vitro</I> and <I>in silico</I> results <B>5c</B>, <B>5j</B> and <B>5k</B> were identified as promising lead compounds for the treatment of targeted disease.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Sulfonamide derivatives were synthesized as therapeutic agents to target the Alzheimer’s disease. </LI> <LI> The inhibitory potential of newly synthesized compounds were evaluated against butyrylcholinesterase (BChE). </LI> <LI> The cytotoxicity of these sulfonamides was also ascertained through hemolysis of bovine red blood cells. </LI> <LI> Computational analysis was performed to check their binding profile against target protein. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Exploration of synthetic multifunctional amides as new therapeutic agents for Alzheimer's disease through enzyme inhibition, chemoinformatic properties, molecular docking and dynamic simulation insights

Hassan, Mubashir,Abbasi, Muhammad Athar,Aziz-ur-Rehman, Muhammad Athar,Siddiqui, Sabahat Zahra,Hussain, Ghulam,Shah, Syed Adnan Ali,Shahid, Muhammad,Seo, Sung-Yum Elsevier 2018 Journal of theoretical biology Vol.458 No.-

<P><B>Abstract</B></P> <P>A new series of multifunctional amides has been synthesized having moderate enzyme inhibitory potentials and mild cytotoxicity. 2-Furyl(1-piperazinyl)methanone (<B>1</B>) was coupled with 3,5-dichloro-2-hydroxybenzenesulfonyl chloride (<B>2</B>) to form {4-[(3,5-dichloro-2-hydroxyphenyl)sulfonyl]-1-piperazinyl}(2-furyl)methanone (<B>3</B>). Different elecrophiles were synthesized by the reaction of various un/substituted anilines (<B>4a-o</B>) with 2-bromoacetylbromide (<B>5</B>), 2‑bromo‑<I>N</I>-(un/substituted-phenyl)acetamides (<B>6a-o</B>). Further, equimolar ratios of <B>3</B> and <B>6a-o</B> were allowed to react in the presence of K<SUB>2</SUB>CO<SUB>3</SUB> in acetonitrile to form desired multifunctional amides (<B>7a-o</B>). The structural confirmation of all the synthesized compounds was carried out by their EI-MS, IR, <SUP>1</SUP>H NMR and <SUP>13</SUP>C NMR spectral data. Enzyme inhibition activity was performed against acetyl and butyrylcholinestrase enzymes, whereby <B>7e</B> showed very good activity having IC<SUB>50</SUB> value of 5.54 ± 0.03 and 9.15 ± 0.01 <I>μ</I>M, respectively, relative to eserine, a reference standard. Hemolytic activity of the molecules was checked to asertain their cytotoxicity towards red blood cell membrance and it was observed that most of the compounds were not toxic up to certain range. Moreover, chemoinformatic protepties and docking simulation results also showed the significance of <B>7e</B> as compared to other compounds. Based on <I>in vitro</I> and <I>in silico</I> analysis <B>7e</B> could be used as a template for the development of new drugs against Alzheimer's disease.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Designing of multifunctional amides derivatives as acetyl and butyrylcholinesterase inhibitors. </LI> <LI> Chemoinformatic, molecular docking and simulation analysis was against most potent inhibitor <B>7e.</B> </LI> <LI> In vitro and in silico results showed the significance of <B>7e</B> and could be used as a template for novel drugs against Alzheimer's disease. </LI> </UL> </P>