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Muhammad Shahid,김광수,김귀년,Muhammad Zaman,Muhammad Nadeem,Haladhara Naik,Mansoureh Tatari,R. Guin,S. K. Das 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.8
The excitation functions of 93mMo and 91m,92m,95m,gNb produced from alpha-induced reactions on 93Nb were measured from their respective threshold to 39.5 MeV. The study was conducted using the alpha beam from the Variable Energy Cyclotron Centre (VECC), Kolkata, India, the stacked foil activation technique and the off-line gamma ray spectrometric technique. The integral yields for a thick target were also deduced from the measured cross-sections and the stopping power of niobium. The results were compared with earlier reported data as well as with the theoretical values obtained from the TENDL-2013 library based on the TALYS-1.6 code.
Synthesis and mechanical characterization of alumina based composite material for armor application
Muhammad Shahid,Rizwan Ahmed Malik,Hussein Alrobei,Jaehwan Kim,Muhammad Latif,Azhar Hussaina,Muhammad Uzair Iqbal,Azeem Hafiz 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.2
This study focuses on development of advance ceramic with improved toughness which can be used as armor material forpersonnel protection. Toughness is the characteristics that defines material resistance to fracture. Ceramics are important classof materials with combination of good strength, toughness and with stand multiple-striking. In this study, three differentsamples i.e. alumina, Zirconia toughened alumina (ZTA), and alumina incorporated with SiC (SiCA); hexagonal shapesamples were made by dry pressing and sintered at 1600 oC in argon atmosphere. Microstructural characterization: SEM andOptical microscopy demonstrated fine grain size distribution in matrix phase. BSE images confirmed the presence of ZrO2particles. High porosity of about 6.35% was observed in SiCA samples. EDX analysis confirms the composition. Mechanicalcharacterization showed improved toughness at the expense of hardness. SiCA samples showed maximum value of hardnesswhile ZTA showed maximum toughness of 4.6 MPa·m1/2. The obtained properties are comparable to other ceramic materialsprepared by different methods.
Aslam, Muhammad,Ahmad, Rizwan,Yasin, Muhammad,Khan, Asim Laeeq,Shahid, Muhammad Kashif,Hossain, Shakhawat,Khan, Zakir,Jamil, Farrukh,Rafiq, Sikander,Bilad, Muhammad Roil,Kim, Jeonghwan,Kumar, Gopalakr Elsevier 2018 Bioresource technology Vol.269 No.-
<P><B>Abstract</B></P> <P>Biohydrogen as one of the most appealing energy vector for the future represents attractive avenue in alternative energy research. Recently, variety of biohydrogen production pathways has been suggested to improve the key features of the process. Nevertheless, researches are still needed to overcome remaining barriers to practical applications such as low yields and production rates. Considering practicality aspects, this review emphasized on anaerobic membrane bioreactors (AnMBRs) for biological hydrogen production. Recent advances and emerging issues associated with biohydrogen generation in AnMBR technology are critically discussed. Several techniques are highlighted that are aimed at overcoming these barriers. Moreover, environmental and economical potentials along with future research perspectives are addressed to drive biohydrogen technology towards practicality and economical-feasibility.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Anaerobic membrane bioreactor technology for biohydrogen production is overviewed. </LI> <LI> Enhancement of biohydrogen yield and generation rates via various strategies is discussed. </LI> <LI> Techno-economic and environmental impacts of this approach are addressed. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Biocompatibility of cobalt iron oxide magnetic nanoparticles in male rabbits
Furhan Iqbal,Tanveer Ahmad Tabish,Muhammad Naeem Ashiq,Muhammad Azeem Ullah,Shahid Iqbal,Muhammad Latif,Muhammad Ali,Muhammad Fahad Ehsan 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.7
Present study was conducted to study the in vivo biocompatibility of cobalt iron oxide magnetic nano-particles (CoFe2O4 MNPs) in rabbits. CoFe2O4 MNPs were synthesized by the conventional micro emulsion technique in crystallite size range of 30 to 50 nm. The lattice constant (a) and cell volume were found to be 8.386 Å and 589.75 Å3, respectively, revealed by XRD. Subject animals were divided in three groups--low dose, high dose and control group without nanoparticles implantation for biocompatibility evaluation. CoFe2O4 was intraperitoneally implanted in rabbits: low dose (1mg CoFe2O4/Kg body weight) and high dose (10mg CoFe2O4/Kg body weight). Blood, serum and histological study of vital organs (liver, heart, kidney and spleen) were carried out in seven days of time protocol after sacrificing of animals. Results indicated that CoFe2O4 had drastically affected the blood chemistry in a dose-dependent manner as RDWa (P=0.01), Platelet (P<0.001) and Plateletcrit (P<0.001) concentrations reduced significantly in low dose and high dose CoFe2O4 treatments as compared to sham treated control group. Histological analysis revealed that CoFe2O4 exposure resulted in disordered and abnormal histology of liver, kidney and that of muscles at surgical site. It is concluded that CoFe2O4 has low biocompatibility and higher toxicity levels in living system at the applied doses.
Reduced Titania Films with Ordered Nanopores and Their Application to Visible Light Water Splitting
Shahid, Muhammad,Choi, Seo-Yeong,Liu, Jingling,Kwon, Young-Uk Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.8
We report on the photoelectrochemical properties of partially reduced mesoporous titania thin films. The fabrication is achieved by synthesizing mesoporous titania thin films through the self-assembly of a titania precursor and a block copolymer, followed by aging and calcination, and heat-treatment under a $H_2$ (1 torr) environment. Depending on the temperature used for the reaction with $H_2$, the degree of the reduction (generation of oxygen vacancies) of the titania is controlled. The oxygen vacancies induce visible light absorption, and decrease of resistance while the mesoporosity is practically unaltered. The photoelectrochemical activity data on these films, by measuring their photocurrent-potential behavior in 1 M NaOH electrolyte under AM 1.5G 100 mW $cm^{-2}$ illumination, show that the three effects of the oxygen vacancies contribute to the enhancement of the photoelectrochemical properties of the mesoporous titania thin films. The results show that these oxygen deficient $TiO_2$ mesoporous thin films hold great promise for a solar hydrogen generation. Suggestions for the materials design for improved photoelectrochemical properties are made.
Real-Time Brain Activation Detection by FPGA Implemented Kalman Filter
Muhammad Shahid Nazir,Muhammad Aqil,Ambreen Mustafa,Ameer Hamza Khan,Fatima Shams 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper presents an embedded system for real-time multi-channel brain activity detection by implementing the Kalman filter (KF) core on a field-programmable gate array (FPGA). The KF with a model driven approach is implemented on an FPGA, for the first time as per our knowledge. The model driven based brain activation model and its parameters" estimation methodology by KF is depicted from Aqil et al., 2012 (Detection of event-related hemodynamic response to neuroactivation by dynamic modeling of brain activity). The multiple instantiations of the KF core along with the coding of necessary compatibilities amongst the KF cores and with a single communication core, allow the parallel processing of multiple measurement channels. Through a serial universal asynchronous receiver/transmitter core, the fNIRS data is communicated to the system where it is being concurrently processed in 32-bit single precision IEEE754 format. The proposed fNIRS-KF embedded system is verified by an fNIRS dataset in real-time.
Sentiment Analysis for COVID-19 Vaccine Popularity
( Muhammad Saeed ),( Naeem Ahmed ),( Abid Mehmood ),( Muhammad Aftab ),( Rashid Amin ),( Shahid Kamal ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.5
Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.