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| 1 | An investigation of the effects of synthesized zinc oxide nanoparticles on the properties of water-based drilling fluid显示文摘The deterioration of drilling fluid properties during deep drilling causes problems like inefficient cutting removal,fluid invasion,and shale swelling,which increases non-productive time(NPT)and cost.Recently nanoparticles(NPs)based drilling fluid are introduced to address these impediments since these particles prove their advantages in different stages of petroleum exploration and recovery.Previous developments are concerned with the use of commercial zinc oxide(ZnO)NPs in inorganic KCl salt-based drilling fluid,although application of KCl in drilling fluid arouses environmental complications.In this study,ZnO NPs prepared in the laboratory are used in water-based drilling fluid(WBDF)to assess the effect of nanoparticles on the properties of drilling fluid at two temperature conditions of 40C and 80C.A base mud is formulated,and ZnO NPs with five different concentrations of 0.05,0.1,0.5,1.0,and 2.0 wt%are mixed with the base mud.The experimental analysis shows that NPs improve the rheological properties of WBDF.When the concentration of NPs was 0.1 wt%,the yield point increased by 61.54%at 40C,and when the concentration of NPs was 0.05 wt%,the yield point increased by 60%at 80C.Besides,when the concentration of NPs is 0.05 wt%,10-sec gel strengths are enhanced by 25%and 50%at 40C and 80C,respectively.The API low-pressure low-temperature(LPLT)filter volume is not significantly affected by the addition of NPs in WBDF.However,mud cake thickness continuously reduces with the increase of NPs concentrations.This result reveals that a superior rheological improvement is achieved at low NPs concentration(0.05 wt%)at higher temperature. | Muhammad Hasibul Ahasan MdFazla Alahi Alvi Nayem Ahmed Md.Saiful Alam | 2022 | Petroleum Research2022，7，1： | 2 |
| 2 | Detection of COVID-19 and Pneumonia Using Deep Convolutional Neural Network显示文摘COVID-19 has created a panic all around the globe.It is a contagious dis-ease caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2),originated from Wuhan in December 2019 and spread quickly all over the world.The healthcare sector of the world is facing great challenges tackling COVID cases.One of the problems many have witnessed is the misdiagnosis of COVID-19 cases with that of healthy and pneumonia cases.In this article,we propose a deep Convo-lutional Neural Network(CNN)based approach to detect COVID+(i.e.,patients with COVID-19),pneumonia and normal cases,from the chest X-ray images.COVID-19 detection from chest X-ray is suitable considering all aspects in compar-ison to Reverse Transcription Polymerase Chain Reaction(RT-PCR)and Computed Tomography(CT)scan.Several deep CNN models including VGG16,InceptionV3,DenseNet121,DenseNet201 and InceptionResNetV2 have been adopted in this pro-posed work.They have been trained individually to make particular predictions.Empirical results demonstrate that DenseNet201 provides overall better performance with accuracy,recall,F1-score and precision of 94.75%,96%,95%and 95%respec-tively.After careful comparison with results available in the literature,we have found to develop models with a higher reliability.All the studies were carried out using a publicly available chest X-ray(CXR)image data-set. | Md.Saiful Islam Shuvo Jyoti Das Md.Riajul Alam Khan Sifat Momen Nabeel Mohammed | 2023 | Computer Systems Science & Engineering2023，44，1： | 0 |
| 3 | Curculigo recurvata W.T.Aiton exhibits anti-nociceptive and anti-diarrheal effects in Albino mice and an in silico model显示文摘Background: Curculigo recurvata(C. recurvata) is an enthnomedicinally important herb reported to have significant medicinal values. The present study aimed to explore the in vivo and in silico anti-nociceptive and anti-diarrheal effects of a C. recurvate rhizome methanol extract(Me-RCR).Methods: The analgesic effects of Me-RCR were assessed using acetic acid-induced writhing and the formalin-induced flicking test. The drugs were administered intraperitoneally(IP) at doses of 200 and 400 mg/kg body weight(bw). Anti-diarrheal activity was evaluated by assessing intestinal motility, hypersecretion, and fecal score in mice at oral doses of 200 and 400 mg/kg·bw. Computer facilitated analyses for anti-nociceptive and anti-diarrheal activities of three isolated compounds from C. recurvata were undertaken to identify the best-fit phytoconstituents.Results: The Me-RCR showed significant(P <.05) peripheral anti-nociception at the highest dose. The extract inhibited both early and late phases of nociception in the formalin-induced writhing test. In the castor oil-induced diarrhoea model, the extract significantly(P <.05) prolonged the onset time of diarrhoea, inhibited percentage of diarrhoea, and decreased both the volume and weight of intestinal contents. Rates of intestinal fluid accumulation inhibition were(33.61 ± 1.00)% and(46.44 ± 0.89)% at Me-RCR doses of 200 and 400 mg/kg·bw, respectively. Moreover, a significant(P <.05) reduction in gastrointestinal motility was observed. An absorption, distribution, metabolism, excretion and/or toxicity(ADME/T) test showed that the selected compounds yielded promising results, satisfying Lipinski's rule of five for predicting drug-like potential. Notably, of the three phytoconstituents curculigine and isocurculigine possessed the highest affinity for the COX-1 and COX-2. Isocurculigine was also identified as the most effective anti-diarrheal compound in the computer-facilitated model.Conclusion: An extract of the plant C. recurvata showed potential analgesic and antidiarrheal activity due to the presence of one or more active secondary metabolite(s). | Shabbir Ahmad Mst.Samima Nasrin A.S.M.Ali Reza Nishan Chakrabarty Md.Akramul Hoque Sanjida Islam Mohammad Shah Hafez Kabir Syed Mohammed Tareq A.H.M.Khurshid Alam Md.Areeful Haque Md.Saiful Islam Arman | 2020 | Animal Models and Experimental Medicine2020，3，2： | 0 |
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