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Biopolymers and Biomimetic Materials in Medical and Electronic-Related Applications for Environment-Health-Development Nexus:Systematic Review

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Journal of Bionic Engineering 2022年第6期19卷 1562-1577页

作者： Faris Mohammed AL-Oqla Mohammed Hassouna Alaaeddin muhammad enamul hoque Vijay Kumar Thakur Department of Mechanical Engineering Faculty of EngineeringThe Hashemite UniversityP.O Box 330127Zarqa13133Jordan University College Fairview 2AJalan TP2Sime UEP Industrial Park Subang Jaya47600Subang JayaSelangorMalaysia Department of Biomedical Engineering Military Institute of Science and Technology(MIST)Mirpur CantonmentDhaka1216Bangladesh Biorefining and Advanced Materials Research Center Scotland’s Rural College(SRUC)Kings BuildingsEdinburghEH93JGUK School of Engineering University of Petroleum&Energy Studies(UPES)Dehradun248007UttarakhandIndia

Biocomposites as bio-inspired materials are produced from renewable resources that are organic and ecofriendly alternative *** improve the lifestyle of human beings as well as enhancing the environmental indices,functional bio-materials are now implemented in various promising *** work has systematically discussed and highlighted the implementations and trends of functional bionic materials in high tech industries,which are necessary for developing modern *** medical,electronic,food and pharmaceutical applications have been ***-inspired materials are used to develop more sustainable possibilities to increase environmental conservation while maintaining customer *** were found employed in several sectors for various functional bio-products including organic thin-film transistors,organic phototransistor,emitting diodes,photodiodes,photovoltaic solar cells,hybrid dental resins,sustainable pharmaceuticals,and food *** are used to create sustainable bio-products for energy storage and harvesting,bone regeneration,nerve damage repair,drug applications and various other industrial subcategories.

关键词： Biopolymers Bioinspired Biomimetic materials Tissue engineering Nerve repair Organic transistors

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Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

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Computers, Materials & Continua 2021年第6期67卷 3143-3160页

作者： S.M.Atiqure Rahman Hegazy Rezk Mohammad Ali Abdelkareem M.enamul hoque Tariq Mahbub Sheikh Khaleduzzaman Shah Ahmed M.Nassef Department of Sustainable and Renewable Energy Engineering University of SharjahSharjahUAE College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Chemical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Department of Biomedical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Mechanical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Infrastructure Engineering Melbourne School of EngineeringThe University of MelbourneAustralia Computers and Automatic Control Engineering Department Faculty of EngineeringTanta UniversityEgypt

The main goal of this research is to develop and apply a robust Artificial Neural Networks(ANNs)model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact *** salt and sugar solutions were used as the osmotic solutions at 27◦*** of experiments were performed at various temperatures of 35◦C,40◦C,and 55◦C for conduction heat input under vacuum(−760 mm Hg)*** experiments were also performed in a pure vacuum without heat *** moisture content(DMC),effective moisture diffusivity,and mass flux were considered as the performance parameters in this *** revealed that the osmotic dehydration using a concentrated sugar solution shows a higher reduction in the initial moisture loss of 19.87%compared to 5.3%in the salt ***,a significant enhancement of drying performance of about 27%in DMC was observed for both samples at vacuum and 40◦C compared to pure vacuum drying *** the experimental data,a robust artificial neural network(ANN)was proposed to describe the osmotic dehydration’s behavior on the drying *** ANN model outputs are the dimensionless moisture contents(DMC),the diffusivity,and the mass *** the ANN inputs were the drying time,the percent of sugar solution,and the percent of salt *** the ANN apple’s model,the minimum root mean square error(RMSE)values were 0.0261,0.0349 and 0.0406,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the above three parameters’determination values were 0.9909,0.9867 and 0.9744,*** the ANN potato’s model,the minimum RMSE values were 0.0124,0.0140 and 0.0333,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the parameters’values were found 0.9969,0.9968 and 0.9736,***,the ANN model’s prediction has a perfect agreement with th

关键词： Artificial neural network prediction modeling osmotic drying kinetics

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Assessing the pomfret stock for setting catch limits in the northern Bay of Bengal,Bangladesh

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Aquaculture and Fisheries 2024年第2期9卷 324-335页

作者： Mohammed Shahidul Alam Qun Liu Md Mostafa Monwar Md enamul hoque Suman Barua Md Leion Hassan Abdullah Munzer College of Fisheries Ocean University of ChinaQingdao266003China Department of Fisheries University of ChittagongChattogram4331Bangladesh Institute of Marine Sciences University of ChittagongChattogram4331Bangladesh Department of Oceanography University of ChittagongChattogram4331Bangladesh Department of Fisheries Ministry of Fisheries and LivestockDhaka1215Bangladesh

Pampus argenteus and Pampus chinensis form the high-value demersal Pomfret fishery of ***,due to a monotonic decline in catches over the last five years,it is essential to explore the current stock status concerning the removal rate to ensure the sustainability of this ***,given the reliability and minimal data requirements,this study employed an extended Bayesian State-Space Surplus Production Model,JABBA(Just Another Bayesian Biomass Assessment),to assess the stock *** results revealed that the stock biomass of the Pomfret fishery in the final year of the time series is significantly lower than BMSY,the biomass required to produce ***,this study recommends a yearly catch limit(TAC)of 10,000 metric tons to prevent further depletion of the stock ***,to avoid growth overfishing by allowing all immature fishes to reproduce at least once before being caught,this study also calculated the optimum length(Lopt)for catch for both species at which biologically maximum yield and revenue can be *** estimated Lopt is 25 cm for *** and 30 cm for ***,and not to capture fishes with lengths lower than these limits,this study further calculated the minimum mesh size limits for gill and set bag nets is 7.5 *** the mesh size regulation was estimated using length-based reference points derived from an empirical equation,this regulation can be used as an associate reference point when TAC is applied to assure the sustainability of this fishery.

关键词： Pomfret fishery Stock assessment JABBA TAC Lower length limits for catches Mesh size regulation

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Biodiesel from Plant Resources—Sustainable Solution to Ever Increasing Fuel Oil Demands

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Journal of Sustainable Bioenergy Systems 2013年第3期3卷 163-170页

作者： Md enamul hoque Lu Pui Gee University of Nottingham Malaysia Campus Jalan Broga Semenyih Selangor Malaysia

The demand for fuel oil is ever increasing with the advance of the modern world, whereas worldwide reserves of fossil oils are diminishing at an alarming rate. However, there exist large stockpiles of vegetable oil feedstocks that could be exploited to produce fuel oil, called biodiesel with the aid of biotechnology. Initially, the biodiesel produced from vegetable oil did not attract much attention because of its high cost. However, the recent increase in petroleum prices and the uncertainties of petroleum availability led to the renewal of interest in biodiesel production from such sustainable resources (i.e., vegetable oil feedstocks). This research focuses on the production of biodiesel from plant resources, and further investigates the influences of key process parameters, such as the molar ratio of methanol to oil, catalyst concentration, reaction temperature, reaction period and stirring speed on the biodiesel yield. This investigation is to determine the optimum process parameters for maximum biodiesel yield. The biodiesel was produced from three vegetable oil feedstocks, namely palm, soybean and sunflower oil via a transesterification process. It was observed that all the process parameters significantly influenced the biodiesel yield. The maximum biodiesel yields for palm, sunflower and soybean oil feedstocks were found to be 87.5%, 83.6% and 80.2%, respectively at optimum condition. The results suggest that through proper optimization of the process parameters the biodiesel yields could be maximized. In conclusion, the production of biodiesel from plant resources would be regarded as a sustainable solution to the ever increasing demand of fuel oils.

关键词： Sustainable Solution Fuel Oil Biodiesel Plant Resource Biotechnology Process Parameter

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A Case Report of Pediatric Epstein Barr Virus (EBV) Related Cholestasis from Al-Adan Hospital, Kuwait

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Open Journal of Pediatrics 2015年第1期5卷 23-26页

作者： Fawaz Al-Refaee Sarah Al-Enezi enamul hoque Assad Albadrawi Department of Pediatrics Al-Adan Hospital Ministry of Health Kuwait Kuwait

Infectious mononucleosis is an acute illness due to Epstein Barr virus infection, which occurs commonly in young adults. Liver involvement in acute EBV infection occurs in up to 95% of patients between the 6th and 15th day of illness and is usually mild [1]. Here we report on a 7-year-old girl treated by Gastroenterology, Hepatology, and Nutrition Unit of Al-Adan Hospital pediatric Department, presented with prolonged fever, lymphadenopathy, generalized edema, hyperbilurubi- nemia and elevated liver enzymes secondary to EBV infection. This case represents a rare presentation of common viral infection in pediatric population.

关键词： Epstein Barr Virus (EBV)

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Grain Size Analysis of a Growing Sand Bar at Sonadia Island, Bangladesh

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Open Journal of Soil Science 2013年第2期3卷 71-80页

作者： Md. enamul hoque Sayedur Rahman Chowdhury Mohammad Muslem Uddin Mohammed Shahidul Alam Md. Mostafa Monwar Institute of Marine Sciences and Fisheries University of Chittagong Chittagong Bangladesh.

Sonadia is one of the most important islands of Bangladesh. South-eastern shore of the island, which is a growing sand bar, has to encounter continuous and rapid morphological changes. So study of the sediment characteristics of this Sand Bar is very important. In the present study, grain size analysis of this Sand Bar has been done on the basis of laboratory analysis. Sediment samples were collected from 9 (Nine) stations and texture analysis of sediment was completed following a standard procedure of sieve analysis of sand samples. The average value of median (MD), mean (M), standard deviation (s), skewness (SK) and kurtosis (K) of sediment of the Sand Bar of Sonadia Island was 1.93, 1.87, 0.44, 0.11 and 1.88 respectively. Highest median, mean, standard deviation, skewness and kurtosis of Sand Bar of Sonadia Island was 2.98 (Station 2, Lower Shore), 2.68 (Station 1, Lower Shore), 0.83 (Station 1, Middle Shore and Station 2, Lower Shore), 0.65 (Station 2, Lower Shore) and 3.59 (Station 1, Lower Shore) respectively. Lowest median, mean, standard deviation, skewness and kurtosis of Sand Bar of Sonadia Island was 1.42 (Station 9, Middle Shore), 1.45 (Station 9, Middle Shore), 0.30 (Station 5, Lower Shore and Station 8, Lower Shore), 0.04 (Station 5, Upper Shore) and 0.94 (Station 6, Upper Shore) respectively.

关键词： Grain Size Analysis Sonadia Sand Bar Sediment Bay of Bengal

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Single and Hybrid Design Polycaprolactone （PCL） Scaffolds： Cell Culture Study

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材料科学与工程（中英文A版） 2013年第5期3卷 315-320页

作者： Md enamul hoque Yong Leng Chuan Ian Pashby Siti Sheren Aini Angela Ng Min Hwei Ruszymah Idrus Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Campus Malaysia Tissue Engineering Centre Universiti Kebangsaan Malaysia Medical Centre Malaysia

Hybrid design strategy in scaffold development is currently being explored in order to obtain new scaffold geometries in favor of efficient cell attachment and growth in tissue engineering applications. This current study investigates the cell culture performance on the single and hybrid design PCL scaffolds manufactured via in-house built desktop robot based rapid prototyping (DRBRP) system. Single design scaffolds were developed by drawing fibers at a specific angle (e. g., 30°, 45°, 60° or 90°) throughout the scaffold unit. Unlikely, the hybrid design scaffolds integrated two or more lay-down patterns (e. g., 30-45-60-900) in the same scaffold unit. In vitro cell culture studies were performed on both single and hybrid design scaffolds by using human osteoprogenitor cells. Light, scanning electron and confocal laser microscopy (CLM) showed cell attachment, proliferation, and extracellular matrix production on the surface as well as inside the scaffold architecture. Hybrid design scaffolds demonstrated better performance in cell culture studies than the single design scaffolds. The overall results suggest that the hybrid scaffolds offer better optimized properties, which can meet the functional and biological requirements of living tissues for regenerative therapies.

关键词：体外细胞培养混合设计 PCL 支架聚己内酯激光共聚焦显微镜快速原型系统细胞外基质

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