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Towards Improving Causality Mining using BERT with Multi-level Feature Networks
Wajid Ali,WanLi Zuo,Rahman Ali,Gohar Rahman,Xianglin Zuo,Inam Ullah 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.10
Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.
Effect of flow rate in the generation of printed line in electrostatic inkjet system
Ahsan Rahman(아산 라만),Jeong-Beom Ko(고정범),Hyung-Chan kim(김형찬),Su-Jin Kim(김수진),Khalid Rahman(카리드 래만),Asif Ali(아시프 알리),Bong-Su Yang(양봉수),Adnan Ali(아드난 알리),Yang-Hoi Doh(도양회),Kyung-Hyun Choi(최경현),Dong-Won Je 한국기계가공학회 2008 한국기계가공학회 춘추계학술대회 논문집 Vol.2008 No.-
The Electrostatic Inkjet system has a huge number of applications in cost and time effected manufacturing of printed electronics like RFID, flexible display, solar cell, sensors, batteries etc. So, the fundamental focus will be to investigate the drop generation phenomena by applying the electrostatic forces. Electrostatic inkjet printing for printed electronics technology is advancing rapidly but it s still in its infancy as inkjet printing system is not able to design complicated devices. This paper explains the behavior of the multiphysics phenomena of the Drop on Demand (DOD) electrostatic Inkjet system for printed electronics devices.
라하만알리 ( Rahman Ali ),이승룡 ( Sungyoung Lee ),정태충 ( Tae Choong Chung ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1
In healthcare systems, the accuracy of a classifier for classifying medical diseases depends on a reduced dataset. Key to achieve true classification results is the reduction of data to a set of optimal number of significant features. The initial step towards data reduction is the integration of heterogeneous data sources to a unified reduced dataset which is further reduced by considering the range of values of all the attributes and then finally filtering and dropping out the least significant features from the dataset. This paper proposes a three step data reduction model which plays a vital role in the classification process.
Effect of Ni-doping on coloring and photocatalytic performance of MgTi2O5 nanoceramics
Moksodur Rahman,Md. Lutfor Rahman,Bristy Biswas,Md. Farid Ahmed,Md. Aftab Ali Shaikh,Shirin Akter Jahan,Nahid Sharmin 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.126 No.-
The Ni-doped MgTi2O5 has been synthesized by sol–gel method and investigated the effect of sinteringwith %Ni content. The heat inspection of intermediate products was done at 1000–1400 C. The structuralproperties of synthesized samples were studied by various methods viz. simultaneous thermal analysis(TGA-DTG), Powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FT-IR), Scanningelectron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS), Zeta Sizer, and UV–VisNIR spectroscopy. The crystallite size of the obtained samples was determined from PXRD analysis usingClassical Scherrer formulae, modified Scherrer model, Williamson–Hall method, and size-strain plotequation. Unit cell parameter was determined precisely from PXRD data based on Rietveld refinementanalysis, which confirmed insertion of Ni2+ ions into the MgTi2O5 structure by decreasing unit cell parameters. Particle size was measured using dynamic light scattering and laser diffraction techniques. Opticalparameter analysis reveals that nano-pigments with narrow bandgap energy were suitable for photocatalysis. Ni0.6Mg0.4Ti2O5 sintered at 1400 C exhibits highest photocatalytic activity (93%) within120 min solar light irradiation. Color properties of the samples were determined from DRS measurementusing CIE-L*a*b* software. The obtained outcomes confirmed that the optical, photocatalytic and colorproperties of prepared samples improved with increasing Ni-contents.
Personalization of wellness recommendations using contextual interpretation
Afzal, Muhammad,Ali, Syed Imran,Ali, Rahman,Hussain, Maqbool,Ali, Taqdir,Khan, Wajahat Ali,Amin, Muhammad Bilal,Kang, Byeong Ho,Lee, Sungyoung Elsevier 2018 expert systems with applications Vol.96 No.-
<P><B>Abstract</B></P> <P>A huge array of personalized healthcare and wellness systems are introduced into the portfolio of digital health and quantified-self movement in recent years. These systems share common capabilities including self-tracking/monitoring and self-quantifications, based on the raw sensory data. These capabilities provide solid ground for the users to be more aware of their health; however, such measures are inefficient for changing the unhealthy habits of the users. In order to induce healthy habits in the users, a system must be capable of generating context-aware personalized recommendations. The main obstacle in this regard is the contextual interpretation of recommendations based on user's current context and contextual preferences. To resolve these issues, we propose a methodology of cross-context interpretation of recommendations (CCIR) for personalized health and wellness services. The CCIR method adds additional capabilities to the traditional reasoning methods and builds advanced form of the reasoning with the incorporation of contextual factors in the process of interpretations of the recommendations. With CCIR, the self-quantification systems can be enhanced to generate personalized recommendations in addition to tracking, quantifying, and monitoring user activities. In order to validate the proposed CCIR methodology, a set of 40 contextual scenarios and corresponding recommendations are presented for the evaluation collected from 40 different end users and 10 domain experts. Using chi-square test evaluation, the results demonstrated acceptable “goodness of fit” indices for the system developed on proposed CCIR methodology with respect to the end users’ opinion. Also from the statistical observation, it is found that there exists a higher level agreement towards the system between the participants of both end users and experts.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A method for cross-context interpretations of health and wellness recommendations. </LI> <LI> A mechanism of refining generalized recommendations to personalized recommendations. </LI> <LI> The contextual interpretations are made for increasing the user acceptability of a system. </LI> </UL> </P>
Central nervous system depressant activity of Leucas aspera root
Rahman Shafiur,Sarder Mokaddez,Ali Yusuf,Rashid Abdur Kyung Hee Oriental Medicine Research Center 2006 Oriental pharmacy and experimental medicine Vol.6 No.3
The ethanolic extract of Leucas aspera root was studied for its effect on the central nervous system (CNS) using pentobarbitone induced sleeping time test, the open field test and the hole cross test in Swiss albino mice. The present investigation revealed that the extract at the doses of 250 and 500 mg/kg, significantly prolonged the pentobarbitone induced sleeping time in mice though the onset of sleep was delayed as compared to control. In open field test the depressing effect was prominent from the second observation period (30 min) and persisted throughout the entire experimental period (240 min). In the hole cross test, the depressing effect was observed significant from the third observation period (60 min) and persisted up to the seventh observation period (240 min) except at fourth observation (90 min) for 250 mg dose group and depressing effect was significant from second observation (30 min) up to seventh observation period (240 min) for 500 mg dose group. These results support the finding that Leucas aspera root may contain biologically active constituent(s) having CNS activity.
Pharmacological profiles of Holarhena antidysenterica (L.) Wall bark
Rahman, Shafiur,Ali, Eunus,Haque, Rubyat Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.2
We undertook the present study to evaluate different pharmacological as antioxidant, antibacterial and cytotoxic activities of the crude ethanolic extract of the stem bark of Holarhena antidysenterica (Family: Apocynaceae). The antioxidant property of the extract was assessed by 1,1-diphenyl-2-picryl hydrazyl free radical scavenging assay. The extract showed antioxidant activity ($IC_{50}$ about ${\sim}08$ ${\mu}g/ml$), which was comparable to standard drug ascorbic acid ($IC_{50}$ about ${\sim}10$ ${\mu}g/ml$). The extract showed a broad spectrum of antibacterial activity against all tested gram positive and gram negative bacteria most prominent against Enterococci, Staphylococcus pyogenase and Shigella sonnie. And the zones of inhibitions were ranging from 10 - 21 mm for all the tested bacteria. Its cytotoxic property was evaluated by brine shrimp lethality bioassay. The extract showed significant lethality and the $LC_{50}$, $LC_{90}$ values were 80 ${\mu}g/ml$, 320 ${\mu}g/ml$ respectively. The results tend to suggest that the extract might possess chemical constituent(s) that are responsible for antioxidant, antibacterial and cytotoxic activities.