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作者： md. Nuruzzaman 华中农业大学

学位级别：硕士

Nitrogen has traditionally been considered one of the most important plant nutrients. In the plant system, this cycle is very complex and involved many enzymes. Increasing the efficiency of these enzymes is one of the better ways to increase the nitrogen use efficiency (NUE) of the plant system. For this purpose in the present study 12 candidate genes induced by low nitrogen stress were studied for their function in the nitrogen metabolism or related cycle in the plants by overexpressing and gene silencing and also checking the T-DNA insertion mutants of the candidate genes. Overexpressed, silenced transgenic plants and mutant lines were not showed any kind of visible phenotypic changes under normal and low nitrogen stress conditions in the hydroponic culture and field condition. Promoter analysis, GFP expression of the candidate genes were observed in the different tissues of plant life cycles.Thioredoxin (Trx) proteins play important biological functions in cells by changing redox via thioldisulfied exchange. This system is specifically widespread in plants. Through database search, 30 potential Trx protein-encoding genes (OsTrx) identified in rice (Oryza sativa L.). Analysis of the complete set of OsTrx proteins are presented here, including chromosomal location, conserved motifs, domain duplication, and phylogenetic relationship. Number of more introns in OsTrx5 suggested the origin of Trx gene.A comprehensive expression profile of Trx genes family was investigated by analyzing the signal data of this family extracted from the whole genome microarray analysis of Minghui63 and Zhenshan97, two indica parents, and the hybrid of these two parents Shanyou63, using 27 different tissues representing the entire life cycle of rice. Results revealed specific expression of some members at germination transition as well as 3-leaf stage during the vegetative growth phase of rice. OsTrx genes are also found to be differentially up- or down-regulated in rice seedlings sub

关键词： heading thioredoxin nitrate sterile germination seedling reductase transgenic Arabidopsis dehydrogenase

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Evaluation of Combined Effect of Micronutrients (ZnSO₄ + Borax) and Fungicides to Control the Purple Blotch Complex of Onion (Allium cepa)

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American Journal of Plant Sciences 2016年第5期7卷 715-723页

作者： hasan Ali Hosna Ara Chowdhury Nisha md. Belal Hossain md. Rafiqul Islam Department of Plant Pathology Sher-e-Bangla Agricultural University Dhaka Bangladesh

Ten different treatments viz. T0 = Control, T1 = Micronutrients (ZnSO4 + Borax), T2 = Rovral 50 WP + Micronutrients, T3 = Dithane M-45 + Micronutrients, T4 = Ridomil Gold + Micronutrients, T5 = Cupravit + Micronutrients, T6 = Rovral 50 WP, T7 = Dithane M-45, T8 = Ridomil Gold and T9 = Cupravit were evaluated against the purple blotch complex disease of onion caused by Alternaria porri and Stemphylium vesicarium in field condition for bulb yield. In lab condition, all the tested chemical fungicides (Rovral 50 WP, Dithane M-45, Ridomil Gold MZ-72 and Cupravit 50 WP) significantly reduced mycelial growth of both pathogens. Among the fungicides, Rovral 50 WP @ 0.2% reduced the highest radial mycelial growth followed by Dithane M-45 @ 0.45% and Ridomil Gold MZ-72 @ 0.2% compared to control. In field experiment, application of Rovral 50 WP @ 0.2% along with micronutrients showed significant effect in reducing disease incidence and severity which significantly increased bulb yield and yield contributing characters.

关键词： Onion Purple Blotch Complex Micronutrients Fungicides

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An Experimental Investigation of Different Washing Processes on Various Properties of Stretch Denim Fabric

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Journal of Materials Science and Chemical Engineering 2021年第1期9卷 1-15页

作者： md. Zayedul hasan A. K. M. Ayatullah Hosne Asif Abdur Razzaque md. Rakibul hasan Sudip Sur md. Omar Faruque Department of Textile Engineering Mawlana Bhashani Science and Technology University Santosh Tangail Bangladesh

This research work was designed to explore the effect of different washing processes (enzyme wash, enzyme stone wash, enzyme stone wash with bleaching, heavy enzyme stone wash with bleaching) on various properties of stretch denim fabric. Different properties like tensile strength, tear strength, dimensional stability to washing, color fastness to washing, color fastness to water, color fastness to perspiration, color fastness to light, color fastness to rubbing, changes in fabric weight were investigated in context with different washing processes for stretch denim fabric. All tests were carried out according to the ISO (International Organization for Standardization). Enzyme washed fabric illustrated better performance regarding tear strength, tensile strength and dimensional stability;but showed moderate performance in different color fastness properties. But the color fastness to rubbing of heavy enzyme stone wash was excellent. No significant change was observed regarding the grade of color change and color staining for color fastness to wash, color fastness to perspiration and color fastness to light with respect to different types of washing processes like enzyme wash, enzyme stone wash, enzyme stone wash with bleaching and heavy enzyme stone wash with bleaching. The grade for dry rubbing and wet rubbing was comparatively better for enzyme wash rather than other washing processes. The GSM (gram per square meter) of stretch denim fabric also increased accordingly after different kinds of washing process rather than untreated stretch denim fabric. The dimensional stability of stretch denim fabric also altered after going through different washing process. The highest shrinkage was occurred in weft direction for heavy enzyme stone wash with bleaching.

关键词： Enzyme Wash Stone Enzyme Wash Stretch Denim Bleaching Tensile Strength

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Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

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World Journal of Engineering and Technology 2018年第4期6卷 854-873页

作者： Shadman Nashif md. Rakib Raihan md. Rasedul Islam Mohammad hasan Imam Department of Computer Science & Engineering Rajshahi University of Engineering & Technology (RUET) Rajshahi Bangladesh Department of Electrical & Electronic Engineering American International University-Bangladesh (AIUB) Dhaka Bangla-desh

Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection of heart diseases in all cases and consultation of a patient for 24 hours by a doctor is not available since it requires more sapience, time and expertise. In this?study, a tentative design of a cloud-based heart disease prediction system had been proposed to detect impending heart disease using Machine learning techniques. For the accurate detection of the heart disease, an efficient machine learning technique should be used which had been derived from a distinctive analysis among several machine learning algorithms in a Java Based Open Access Data Mining Platform, WEKA. The proposed algorithm was validated using two widely used open-access database, where 10-fold cross-validation is applied in order to analyze the performance of heart disease detection. An accuracy level of 97.53% accuracy was found from the SVM algorithm along with sensitivity and specificity of 97.50% and 94.94%respectively. Moreover, to monitor the heart disease patient round-the-clock by his/her caretaker/doctor, a real-time patient monitoring system was developed and presented using Arduino, capable of sensing some real-time parameters such as body temperature, blood pressure, humidity, heartbeat. The developed system can transmit the recorded data to a central server which are updated every 10 seconds. As a result, the doctors can visualize the patient’s real-time sensor data by using the application and start live video streaming if instant medication is required. Another important feature of the proposed system was that as soon as any real-time parameter of the patient exceeds the threshold, the prescribed doctor is notified at once through GSM technology.

关键词： Data Mining Machine Learning IoT (Internet of Things) Patient Monitoring System Heart Disease Detection and Prediction

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Towards electric digital twin grid: Technology and framework review

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Energy and AI 2023年第1期11卷 179-195页

作者： md.Mhamud Hussen Sifat Safwat Mukarrama Choudhury Sajal K.Das md.Hafiz Ahamed S.M.Muyeen md.mehedi hasan md.Firoj Ali Zinat Tasneem md.Manirul Islam md.Robiul Islam md.Faisal R.Badal Sarafat H.Abhi Subrata K.Sarker Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh Department of Electrical Engineering Qatar UniversityDoha2713Qatar

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainableenergy management, insufficient energy distribution–transmission–optimization, expensive power transfercosts, and increased customer knowledge of energy charges. Thus why, universal access to the grid with highcybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a newdimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid inreal-time and integrates all the past and present data and express the current grid status to the producers andconsumers and also predicts the future grid status. Thus, the power grid transmission loss and location of theoverheated line and power connection missing can be detected in addition decision-making and self-healingcan possible. The future prediction saves the power grid from small to long accidents such as power outagesand even blackout problems. The whole consumers and nation feel relief from these types of accidents andsaves from large economic and business loss. The blockchain-enabled digital twin grid provides high securityfor the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and theconcept of the DT grid processing and the way of serving the producer, prosumers, consumers even the wholenation in infrastructure, education, research, economic, business, and political development.

关键词： Electric digital twin grid Online analysis of grid Cloud platform of grid Real-time grid analysis Self-healing Cybersecurity

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Propagation of Surface Plasmon Polariton in the Single Interface of Gallium Lanthanum Sulfide and Silver

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Photonic Sensors 2014年第1期4卷 58-62页

作者： Rakibul hasan Sagor md.Ghulam Saber md.Ruhul Amin Department of Electrical and Electronic Engineering Islamic University of TechnologyBoard BazarGazipur1704Bangladesh

The propagation characteristics of the surface-plasmon-polariton （SPP） mode in the single interface of silver （Ag） and gallium lanthanum sulfide （GLS） have been studied both analytically and numerically. The obtained numerical results show an excellent agreement with the analytical ones. The locations of the spatial resonance point along the direction of propagation were determined for the dielectric and the metal.

关键词： Surface-plasmon-polariton gallium lanthanum sulfide glass-metal interface

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An Efficient Disease Detection Technique of Rice Leaf Using AlexNet

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Journal of Computer and Communications 2020年第12期8卷 49-57页

作者： md. Mafiul hasan Matin Amina Khatun md. Golam Moazzam Mohammad Shorif Uddin Department of Computer Science and Engineering Jahanginagar University Dhaka Bangladesh

As nearly half of the people in the world live on rice, so the rice leaf disease detection is very important for our agricultural sector. Many researchers worked on this problem and they achieved different results according to their applied techniques. In this paper, we applied AlexNet technique to detect the three prevalence rice leaf diseases termed as bacterial blight, brown spot as well as leaf smut and got a remarkable outcome rather than the previous works. AlexNet is a special type of classification technique of deep learning. This paper shows more than 99% accuracy due to adjusting an efficient technique and image augmentation.

关键词： AlexNet Leaf Diseases Disease Prediction Rice Leaf Disease Dataset Disease Classification

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Zoonotic human liver flukes,a type 1 biocarcinogen,in freshwater fishes:genetic analysis and confirmation of molluscan vectors and reservoir hosts in Bangladesh

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Infectious Diseases of Poverty 2024年第3期13卷 73-88页

作者： Sharmin Shahid Labony md.Abdul Alim Muhammad mehedi hasan md.Shahadat Hossain Sharmin Akter Joydeep Paul Thahsin Farjana md.Haydar Ali Mohammad Zahangir Alam Takeshi Hatta Hayato Kawada Keiko Mizutani Naotoshi Tsuji null Anisuzzaman Department of Parasitology Faculty of Veterinary ScienceBangladesh Agricultural UniversityMymensingh 2202Bangladesh Department of Fisheries Technology Faculty of FisheriesBangladesh Agricultural UniversityMymensingh 2202Bangladesh Department of Biotechnology School of Life Sciences&BiotechnologyAdamas UniversityBarasat-Barrackpore RdJagannathpurKolkataWest Bengal 700126India Department of Pathology and Parasitology Hajee Mohammad Danesh Science and Technology UniversityDinajpur 5200Bangladesh Department of Parasitology and Tropical Medicine Kitasato University School of Medicine1-15-1 KitasatoMinamiSagamiharaKanagawa 252-0374Japan Department of Molecular and Cellular Parasitology Kitasato University Graduate School of Medical Sciences1-15-1 KitasatoMinamiSagamiharaKanagawa 252-0373Japan

Background Opisthorchiid flukes,particularly Opisthorchis viverrini,Opisthorchis felineus,Clonorchis sinensis,and Metorchis *** the most common fish-borne zoonotic human liver flukes(hLFs).Liver fluke infections are more prevalent in resource-deprived and underprivileged *** herein estimated the prevalence of the metacercariae(MC)of major hLFs in common large freshwater fishes(lFWF)marketed for human consumption from some selected areas of Bangladesh along with detection of their molluscan vectors and *** The current status of fish-borne zoonotic hLF infections in lFWF was investigated along with their molluscan vectors and mammalian reservoir hosts in Mymensingh and Kishoreganj in Bangladesh from July 2018-June 2022 using conventional and multiple molecular techniques,such as PCR,PCR-restriction fragment length polymorphism(RFLP),sequencing,and bioinformatic *** infection rate of fishes was analyzed using the Z-test and the loads of MC were compared using the chi-squared(χ^(2))*** The MC of ***,Opisthorchis spp.,and Metorchis *** detected in 11 species of common and popular *** lFWF,the estimated prevalence was 18.7%and the mean load was 137.4±149.8 MC per 100 g of *** prevalence was the highest(P0.05)distributed between the head and body of *** infection rate was slightly higher in cultured(19.6%)*** MC of ***,***,***,and Metorchis orientalis in fishes were confirmed using PCR,PCR-RFLP and *** cercariae of opisthorchiid(Pleurolophocercus cercariae)flukes were only recovered from Bithynia spp.(3.9%,42 out of 1089).The ova of hLFs from dogs(4.3%,5 out of 116)and cats(6.0%,6 out of 100),and adult flukes(***)from ducks(41.1%113 out of 275)were *** The MC of

关键词： Human liver fluke Freshwater fish Molluscan vector Reservoir host Bangladesh

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Early Warning Smartphone Diagnostics for Water Security and Analysis Using Real-Time pH Mapping

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Photonic Sensors 2015年第4期5卷 289-297页

作者： md. Arafat HOSSAIN John CANNING Sandra AST Peter J. RUTLEDGE Abbas JAMALIPOUR interdisciplinary Photonics Laboratories (iPL) School of Chemistry The University of Sydney NSW 2006 Australia School of Chemistry The University of Sydney NSW 2006 Australia Wireless Networking Group (WING) School of Electrical and Information Engineering The University of Sydney NSW2006 Australia

Early detection of environmental disruption, unintentional or otherwise, is increasingly desired to ensure hazard minimization in many settings. Here, using a field-portable, smartphone fluorimeter to assess water quality based on the pH response of a designer probe, a map of pH of public tap water sites has been obtained. A custom designed Android application digitally processed and mapped the results utilizing the global positioning system （GPS） service of the smartphone. The map generated indicates no disruption in pH for all sites measured, and all the data are assessed to fall inside the upper limit of local government regulations, consistent with authority reported measurements. This implementation demonstrates a new security concept： network environmental forensics utilizing the potential of novel smartgrid analysis with wireless sensors for the detection of potential disruption to water quality at any point in the city. This concept is applicable across all smartgrid strategies within the next generation of the Internet of Things and can be extended on national and global scales to address a range of target analytes, both chemical and biological.

关键词： Lab-in-a-phone Intemet of Things optical sensing and sensor smartphone sensor photonic sensor fluorescence water security

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Floral Diversity of Abandoned Mansions and the Influence of Soil Properties on These Unique Vegetations

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American Journal of Plant Sciences 2021年第10期12卷 1559-1600页

作者： md. Tahidul Islam md. Mahadiy hasan md. Ashikur Rahman Laskar Subroto K. Das Tania Sultana Department of Botany University of Barishal Barishal Bangladesh

Abandoned land and mansions are always a matter of curiosity to the human beings. They are treated as haunted places in many societies. In the present research, three decrepit abandoned mansions from the southern Bangladesh were investigated to measure their floral diversity, physico-chemical properties of soil and the soil-plant interrelationship which is responsible for the diversification of wild flora within the regions. From Shannon and Simpson diversity indexes, it can be deducted that the floral diversity within the abandoned mansions has a positive relationship with their territory size. The high values of Margalef’s and Menhinick’s species richness indexes confirmed that these areas are a rich source of a large number of plant species. A great variation in soil physico-chemical properties has been observed during the analysis. Soil organic matter, nitrogen, phosphorus, potassium & moisture contents were varied significantly from one quadrat to another in every site. Biplot analysis showed that the distribution of plant species in abandoned mansions is primarily determined by the organic matter, pH, moisture and potassium contents of soil. As these factors were present in versatile distribution within the studied regions, a great number of plants can grow in the same area simultaneously. So these areas should be protected from human intervention to process natural selection and in situ conservation of plant species.

关键词： Floral Diversity Abandoned Area Soil Properties Vegetation

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