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- 저자 : Faiza Nasir (검색결과 3 건)
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Faiza Nasir,Haseeb Ahmad,CM Nadeem Faisal,Qaisar Abbas,Mubarak Albathan,Ayyaz Hussain International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.3
Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.
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Rubina Nasir,Faiza Aziz,Sikander M. Mirza,Nasir M. Mirza 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.3
Experimental measurements of the response of BF3 detector to a 3 Ci AmeBe neutron source for threedifferent reflecting materials, i.e., aluminum, wood, and Perspex of varying thicknesses have been carriedout. The varying contribution of wall effect to the response due to change in active volume of the detectorhas also been determined experimentally. Then, a Monte Carlo code has been developed for the calculationof the neutron response function of the BF3 detector using source biasing and importance sampling. This code simulates the BF3 detector response exposed to the neutron field in a three-dimensionalsource, detector, and reflecting medium configurations. The results of simulation have been comparedwith the corresponding experimental measurements and are found to be in good agreement. Theexperimental neutron albedo measurements for various values of Perspex thickness show saturatingbehavior, and results agree very well with the data obtained by Monte Carlo simulation.
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Parveen Akhter,Iqrash Shafiq,Faisal Ali,Faiza Hassan,Roeya Rehman,Nasir Shezad,Ashfaq Ahmed,Farrukh Jamil,Murid Hussain,Young-Kwon Park 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.123 No.-
Textile effluents may harm the human body as well as cause environmental pollution. For several decadesresearchers have been attempting to overcome this issue by introducing environmentally friendly technologiesthat degrade bulk dyes to mitigate hazards. Synthetic dyes are carcinogenic for humans as wellas for other living organisms. Various techniques have been developed for the removal of these toxiccompounds, advanced oxidation processes (AOPs) being the most used processes. In this study,Montmorillonite (MMT) supported BiVO4 nanocomposite was prepared by the sol–gel method to degradeBrilliant Red 80 dye using photocatalysis. The BiVO4/MMT composite was comprehensively characterizedby several characterization techniques including X-ray diffraction (XRD), Fourier-transform infraredspectroscopy (FTIR), Scanning electron microscopy (SEM), Raman, Photoluminescence spectroscopy(PL), and UV–Vis diffuse reflectance spectroscopy (UV–Vis-DRS). Interestingly, the composite materialshowed a narrow bandgap of 2.26 eV with strong light absorption in the visible range. A 1000-wattXenon Lamp was used for activity performance measurement. The photocatalytic Brilliant Red 80 degradationactivity was observed to be 99% degraded within 120 min of illumination compared to conventionalBiVO4 which showed around 80% degradation. Moreover, in this work, an acidic media wasfound to favor the degradation of Brilliant Red 80 dye.
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