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Maruf Ahmed,Mst. Sorifa Akter,Koo-Bok Chin,Jong-Bang Eun 한국식품과학회 2009 Food Science and Biotechnology Vol.18 No.6
The effects of drying temperature (55, 60, and 65℃) and addition levels of maltodextrin (MD) (10, 20, and 30%) on the physicochemical properties and nutritional quality of purple sweet potato flour were investigated. MD-added flours had higher L<SUP>*</SUP> values, water soluble index, total phenolic, and anthocyanin contents than untreated flour. However, a<SUP>*</SUP>, b<SUP>*</SUP> values, water absorption index, and swelling capacity were dependent on the drying temperature and MD concentration. On the other hand, untreated flour had a higher ascorbic acid content compared to the MD-treated flour. Ascorbic acid contents decreased, whereas anthocyanin content was not significantly different, with increasing drying temperatures. MD was positively correlated with phenolic content, anthocyanin, hue angle, and water soluble index. However, there was no correlation between quality parameters and glass transition temperature. The best quality product was obtained when samples were pretreated with MD before drying, regardless of drying temperature.
Volatility and mixing states of ultrafine particles from biomass burning
Maruf Hossain, A.M.M.,Park, S.,Kim, J.S.,Park, K. Elsevier Scientific Pub. Co 2012 Journal of hazardous materials Vol.205 No.-
Fine and ultrafine carbonaceous aerosols produced from burning biomasses hold enormous importance in terms of assessing radiation balance and public health hazards. As such, volatility and mixing states of size-selected ultrafine particles (UFP) emitted from rice straw, oak, and pine burning were investigated by using volatility tandem differential mobility analyzer (VTDMA) technique in this study. Rice straw combustion produced unimodal size distributions of emitted aerosols, while bimodal size distributions from combustions of oak (hardwood) and pine (softwood) were obtained. A nearness of flue gas temperatures and a lower CO ratio of flaming combustion (FC) to smoldering combustion (SC) were characteristic differences found between softwood and hardwood. SC emitted larger mode particles in higher numbers than smaller mode particles, while the converse was true for FC. Rice straw open burning UFPs exhibited a volatilization behavior similar to that between FC and SC. In addition, internal mixing states were observed for size-selected UFPs in all biomasses for all combustion conditions, while external mixing states were only observed for rice straw combustion. Results for FC and open burning suggested there was an internal mixing of volatile organic carbon (OC) and non-volatile core (e.g., black carbon (BC)), while the SC in rice straw produced UFPs devoid of non-volatile core. Also, it was found that volatility of constituting OC in FC and SC particles was different.
Reproductive Disorders that Limits the Reproductive Performances in Dairy Cows of Bangladesh
Al Maruf, Abdulla,Paul, Ashit Kumar,Bonaparte, Napolean,Bhuyian, Mosharrof Hossain,Shamsuddin, Mohammed 韓國受精卵移植學會 2014 한국동물생명공학회지 Vol.29 No.2
The reproductive disorders are the major causes of reproductive infertility in cows that affect the total annual calf crop, resulting in great economic loss in Bangladesh. The aim of the study was to find out the reproductive disorders (RD) in dairy cows that markedly influences the reproductive performances in aspect of Bangladesh. A total number of 1658 dairy cows were selected according to their body condition score (BCS) in different farms at the southern part of Bangladesh during the period of 2011 to 2012. The preliminary data (basic information) were collected directly from the dairy farmer’s record books and asking questions according to a prescribed questionnaires as well as the diagnosis of RD was presumptively confirmed on the basis of history, clinical signs and examination of animals by ultrasonography and others necessary tools. There are thirteen major reproductive disorders were identified. Overall prevalence of reproductive disorders at that area were 23%, among of these anoestrus 5.1%, repeat breeder 3.7%, metritis 4.4%, poor heat detection 1.6%, ovarian cyst 0.36%, retain placenta 4.6%, dystocia 0.97% and pyometra 0.24%. It is indicated that anoestrus and retention of placenta after calving was most hazardous cause of infertility whereas the metritis and repeat breeder were the second line of consequence. RD had shown significantly higher incidence in low BCS (≤2) than that of fair (2.5) and very good (≥3∼3.5). In conclusion, the highest RD especially anoestrus and retention of placenta is very alarming for reproductive loss which might be needed further research to identify the specific cause of these disorders for establishment a profitable dairying and dairy population.
Hasib Maruf Mohammad,Yamada Kentaro,Hoshino Masatoshi,Yamada Eiji,Tamai Koji,Takahashi Shinji,Suzuki Akinobu,Toyoda Hiromitsu,Terai Hidetomi,Nakamura Hiroaki 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.4
Study Design: Retrospective radiological comparative design.Purpose: To investigate whether conventional magnetic resonance imaging (MRI) could substitute three-dimensional (3D)-MRI for the calculation of the foraminal stenotic ratio (FSR) and clarification of which patients can be assessed more accurately using 3D-MRI.Overview of Literature: Previous studies have indicated that 3D-MRI is useful for diagnosing lumbar foraminal stenosis. The FSR obtained using 3D-MRI, described as the ratio of stenosis length, characterized by perineural fat obliteration, to the length of the entire foramen, could indicate the stenosis severity; however, this method is time-consuming and expensive. The FSR also can be calculated using conventional MRI.Methods: We investigated 154 foramina at L5–S1 in 77 patients. All the patients had degenerative lumbar disorders and had undergone both conventional MRI and 3D-MRI during the same visit. Differences between the FSRs calculated from conventional and 3D-MRI reconstructions and any correlations with the plain radiography findings were assessed.Results: In foramina that had a FSR of <50% on conventional MRI, the difference between the FSR obtained using conventional MRI and 3D-MRI was 5.1%, with a correlation coefficient of 0.777. For foramina with a FSR ≥50% on conventional MRI, the difference was 20.2%, with a correlation coefficient of 0.54. FSR obtained using 3D-MRI was significantly greater in patients who required surgery than in those who were successfully treated with conservative methods (88% and 42%, respectively). Segments with spondylolisthesis or lateral wedging showed higher FSRs than those without these conditions on both types of MRI.Conclusions: FSRs <50% obtained using conventional MRI were sufficiently reliable; however, the results were inaccurate for FSRs ≥50%. Patients with high FSRs on 3D-MRI were more likely to require surgical treatment. Therefore, 3D-MRI is recommended in patients with suspected stenosis detected using conventional MRI or plain radiographs.
Bhuiyan, Maruf A.,Zhou, Hong,Chang, Sung-Jae,Lou, Xiabing,Gong, Xian,Jiang, Rong,Gong, Huiqi,Zhang, En Xia,Won, Chul-Ho,Lim, Jong-Won,Lee, Jung-Hee,Gordon, Roy G.,Reed, Robert A.,Fleetwood, Daniel M. Professional Technical Group on Nuclear Science 2018 IEEE transactions on nuclear science Vol. No.
<P>The radiation hardness of AlGaN/GaN high-electron-mobility transistors (HEMTs) is found to improve with increasing GaN channel thickness. Epitaxial MgCaO shows promise as a radiation-tolerant gate dielectric, with only small shifts in operating parameters of metal–oxide–semiconductor HEMTs observed at doses up to 1 Mrad(SiO<SUB><I>2</I></SUB>). Bias-induced electron trapping and radiation-induced-hole trapping can occur in the MgCaO, depending on the applied bias during stress and/or irradiation. AC transconductance measurements are used to help understand charge trapping in these devices.</P>
Neural Networks in Chinese Lexical Classification
( Md Maruf Hasan ),( Kim Teng Lua ) 한국언어정보학회 1996 국제 워크샵 Vol.1996 No.-
Lexical attributes, like syntactic (part-of-speech) and semantic (semantic category) attributes, are in most cases, ambiguous in every languages. Automatic resolution of ambiguity of these attributes can be achieved using`` different techniques; rule-based, statistical, NN-based and their hybrids. Moreover, one linguistic feature also has influence over the resolution of ambiguity of another feature; eg.. knowledge of syntactical category can assist smooth disambiguation of semantic category and vice versa. Properly disambiguated syntactic and semantic properties of lexicon may significantly help us in word sense disambiguation, text analysis, information retreival, natural language understanding and speech processing etc. In this paper, we have presented our neural network based Classification Tool. We have used this tool in Part-of-Speech tagging and Semantic-Category tagging of Chinese lexicon with the help of thesaurus and large training corpus. Experimental results are analysed and compared.