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Comparative study of hypoglycemic and antibacterial activity of organic extracts of four Bangladeshi plants

Journal of Coastal Life Medicine 2016年第3期4卷 231-235页

作者： Mohammad Shah Hafez Kabir Shabbir Ahmad Md.Sofi Mahamoud Nishan Chakrabarty Md.Akramul Hoque mohammed munawar hossain Md.Nazim Uddin Chy mohammed Shoibe Department of Pharmacy International Islamic University ChittagongChittagongBangladesh

Objective:To examine hypoglycemic and antibacterial activity against some Gram-positive and Gram-negative bacteria of organic extracts of four Bangladeshi ***:An in vivo hypoglycemic effect on mice model was used to check the hypoglycemic effect of four Bangladeshi herbal organic extracts viz.,roots of Curculigo recurvata ***(Satipata)(***),leaf of Amorphophallus bulbifer Roxb.(Olkachu)(***),whole plant of Thunbergia grandiflora Roxb.(Nillata)(***)and leaf of Steudnera colocasiifolia ***(Yunnan)(***)using glibenclamide as a positive control and water as a negative *** were also tested for antibacterial activity on three Grampositive and four Gram-negative bacteria by disk diffusion ***,*** and *** were extracted with methanol and *** was extracted with ***:Among all the plant extract,only ethanol extract of *** leaves at 800 mg/kg dose significantly(P<0.01)reduced fasting glucose level in normal mice as compared to standard drug glibenclamide(5 mg/kg).Ethanol extract of *** leaves at 800 mg/kg dose decreased 20.28%of blood glucose level after 2 h of administration in normal mice,where glibenclamide decreased 39.63%.Methanol extract of *** didn’t show any zone of inhibition against the tested bacteria,but other three extracts showed a wide range of zone of ***,none of the extract showed antibacterial activity against all the tested *** extract of *** showed maximum zone of inhibition against Bacillus cereus[(10.50±0.50)mm],Salmonella typhi[(16.20±1.26)mm],Escherichia coli[(13.00±1.00)mm]and ethanol extract of *** showed maximum zone of inhibition against Staphylococcus aureus[(11.20±1.26)mm],Bacillus subtilis[(12.00±0.50)mm],Salmonella paratyphi[(10.80±0.29)mm].Only methanol extract of *** showed(8.50±0.50)mm and(7.20±0.76)mm zone of inhibition against P

关键词： Curculigo recurvata Steudnera colocasiifolia Hypoglycemic Antibacterial Disc diffusion method

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Antidepressant,anxiolytic and anti-nociceptive activities of ethanol extract of Steudnera colocasiifolia *** leaves in mice model

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Journal of Coastal Life Medicine 2015年第11期 890-894页

作者： Mohammad Shah Hafez Kabir mohammed munawar hossain Md.Mominur Rahman Shabbir Ahmad Abul Hasanat Tanvir Ahmad Chowdhury Md.Akramul Hoque Nishan Chakrabarty Md.Shakhawat hossain Department of Pharmacy International Islamic University ChittagongBangladesh

Objective:To estimate the antidepressant,anxiolytic and antinociceptive activities of ethanol extract of Steudnera colocasiifolia ***(***)***:Swiss albino mice treated with 1%Tween solution,standard drugs and ethanol extract of ***,respectively,were subjected to the neurological and antinociceptive *** tail suspension test and forced swimming test were used for testing antidepressant activity,where the parameter is the measurement of immobility *** activity was evaluated by hole board ***-nociceptive potential of the extract was also screened for centrally acting analgesic activity by using formalin induced licking response model and acetic acid induced writhing test was used for testing peripheral analgesic ***:Ethanol extract of *** significantly decreased the period of immobility in both tested models(tail suspension and forced swimming models)of antidepressant *** the hole board model,there was a dose dependant(at 100 and 200 mg/kg)and a significant increase in the number of head dipping by comparing with control(1%Tween solution)(P<0.05 and P<0.001).In formalin induced licking model,a significant inhibition of pain compared to standard diclofenac sodium was observed(P<0.05 and P<0.001).In acetic acid induced test,there was a significant reduction of writhing response and pain in mice treated with leaves extract of *** at 200 mg/kg body weight(P<0.05 and P<0.001).Conclusions:The results proofed the prospective antidepressant,anxiolytic and antinociceptive activities of ethanol extract of *** leaves.

关键词： Steudnera colocasiifolia K.Koch Antinociceptive Antidepressant Anxiolytic Hole board

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Is the Sundarbans of Bangladesh in a State of Pollution?

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Open Journal of Forestry 2024年第1期14卷 19-41页

作者： Mahmood hossain Chameli Saha Sanjoy Saha Hawlader mohammed Nurul Islam Mushfiq Ahmed Tanvir Ahmed Abdul Halim Farhad Sikder Md. Mutasim Billah Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Institute for Integrated Studies on the Sundarbans and Coastal Ecosystems (IISSCE) Khulna University Khulna Bangla-desh Ecology Forestry and Biodiversity Division Center for Environmental and Geographic Information Services (CEGIS) Dhaka Bangladesh

The Sundarbans is the world’s most extensive natural mangrove forest and home to various natural resources. The population in the vicinity has increased, causing more dependency on the resources of the Sundarbans. The increasing industrialization, urbanization, aquaculture, intensive agricultural practices, seaports, tourism facilities, and so on in the peripheral areas of the Sundarbans have made significant changes in the surrounding and upstream land uses of the Sundarbans. This situation may have detrimental influences on the ecosystem components of the Sundarbans. Therefore, it is highly demanded to prepare a piece of baseline information or database of different sources of pollution and their present status in the various components of the Sundarbans. This effort helps to identify issues and concerns, determine the key elements of the ecosystem to monitor the level or overall quality of the Sundarbans ecosystem. The present study systematically collects the potential sources of pollution, types, and current levels in the ecosystem components of the Sundarbans using academic databases, libraries, and online resources. Discharge of industrial waste into water, soil and air, heavy metal pollution, use of agrochemicals, oil (refined and crude) pollution, plastic materials from urban areas, and tourism are the major issues and concerns related to the sustainability of the Sundarbans ecosystem. The air quality of the Sundarbans is in good condition with 0 - 50 AQI of Bangladesh. While BOD, COD, TDS, TSS varied from 2.0 to 3.8 mg/L, 21.6 to 416 mg/L, 146.9 to 24,100 mg/L and 54 to 155 mg/L, respectively. Soil EC, organic carbon, total nitrogen, and total phosphorus ranged from 3.01 - 5.82 mS/cm, 1.41% - 2.69%, 0.51 - 1.05 mg/g, and 0.32 - 0.51 mg/g respectively. The air, water and soil quality parameters varied with the sites and seasons and not much at the state of contamination. Indeed, we must pay much attention to the Sundarbans’ air, water and soil quality with

关键词： Ecosystem Mangroves Monitoring Pollution Soil Sundarbans

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Comparative phytochemical,thin layer chromatographic profiling and antioxidant activity of extracts from some Indian herbal drugs

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Journal of Bioresources and Bioproducts 2022年第2期7卷 46-52页

作者： Md Sohail Akhtar Mohamed Rafiullah Wegdan Aly Shehata Amzad hossain mohammed Ali School of Pharmacy College of Pharmacy and NursingUniversity of NizwaNizwaOman Phytochemistry Research Laboratory Department of Pharmacognosy and PhytochemistryFaculty of PharmacyJamia HamdardNew DelhiIndia Strategic Center for Diabetes Research College of MedicineKing Saud UniversityRiyadhSaudi Arabia

Natural antioxidants play a significant role to prevent cell breaking and regenerate *** plants native to India named dwarf morning-glory(Evolvulus alsinoides),Indian banyan(Ficus bengalensis)and chicory(Chicorium intybus)are used as medicine in India traditionally to treat *** aim of this study is to evaluate and compare the antioxidant activity as well as to compare phytochemical profiles of the aqueous extracts of the selected three *** dried plant powder was extracted with ethanol individually by using the Soxhlet method for eight hours and the solvent was evaporated under reduced ***,the air-dried powder was ex-tracted with water,and the water was *** thin layer chromatography(TLC)profile of the extracts was determined by using TLC densitometer and the antioxidant activity was deter-mined by the conventional 2,2-diphenyl-1-picrylhydrazyl(DPPH)*** TLC profile shows that there are no similarities of retention factor(R f)values among the plant extracts which means all three plants contain different chemical *** antioxidant activities of the aqueous extracts at different concentrations show different antioxidant *** inhibition is dose dependent,as doses are increasing then percentage inhibition is also increasing for all three plant *** the selected plants,the highest activity was found in *** and the lowest was in *** order of the antioxidant activity among the selected plants was ***<***<*** on the TLC profile and antioxidant activities,the highest activity of the selected plant species was evaluated.

关键词： Indian drug Thin layer chromatography(TLC)profile Plant extract Antioxidant activity

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Forecasting Mental Stress Using Machine Learning Algorithms

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Computers, Materials & Continua 2022年第9期72卷 4945-4966页

作者： Elias hossain Abdulwahab Alazeb Naif Almudawi Sultan Almakdi mohammed Alshehri M.Gazi Golam Faruque Wahidur Rahman Department of Software Engineering Daffodil UniversityDhakaBangladesh Collage of Computer Science and Information System University of NajranNajranSaudi Arabia Department of Computer Science and Engineering Khwaja Yunus Ali UniversitySirajganj 6751Bangladesh

Depression is a crippling affliction and affects millions of individuals around the *** general,the physicians screen patients for mental health disorders on a regular basis and treat patients in collaboration with psychologists and other mental health experts,which results in lower costs and improved patient ***,this strategy can necessitate a lot of buy-in from a large number of people,as well as additional training and logistical ***,utilizing the machine learning algorithms,patients with depression based on information generally present in a medical file were analyzed and *** methodology of this proposed study is divided into six parts:Proposed Research Architecture(PRA),Data Pre-processing Approach(DPA),Research Hypothesis Testing(RHT),Concentrated Algorithm Pipeline(CAP),Loss Optimization Stratagem(LOS),and Model Deployment Architecture(MDA).The Null Hypothesis and Alternative Hypothesis are applied to test the *** addition,Ensemble Learning Approach(ELA)and Frequent Model Retraining(FMR)have been utilized for optimizing the loss ***,the Features Importance Interpretation is also delineated in this *** forecasts could help individuals connect with expert mental health specialists more quickly and *** to the findings,71%of people with depression and 80%of those who do not have depression can be appropriately *** study obtained 91%and 92%accuracy through the Random Forest(RF)and Extra Tree *** after applying the Receiver operating characteristic(ROC)curve,79%accuracy was found on top of RF,81%found on Extra Tree,and 82%recorded for the eXtreme Gradient Boosting(XGBoost)***,several factors are identified in terms of predicting depression through statistical data *** the additional effort is needed to develop a more accurate model,this model can be adjustable in the healthcare sector for diagnosing depression.

关键词： Depression analysis mental health machine learning model deployment XGBoost ROC-AUC

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Composition analysis and antimicrobial activity of essential oil from leaves of Laurus nobilis grown in Oman

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Journal of Bioresources and Bioproducts 2022年第4期7卷 328-334页

作者： Siham Saleh Al-Abri Sadri Abdullah Said Salem Said Al Touby mohammed Amzad hossain Jamal Nasser Al-Sabahi School of Pharmacy College of Pharmacy and NursingUniversity of NizwaPB 33PO 616NizwaNizwa 616Oman School of Nursing College of Pharmacy and NursingUniversity of NizwaNizwa 616Oman Central Instrument Laboratory College of Agriculture and Marine SciencesSultan Qaboos UniversityMuscat 123Oman

Traditionally,Laurus nobilis is used for the treatment of earaches and skin rashes as well as *** most common technique to isolate the oil is hydro-distillation and *** investigation presented in this paper was aimed to unravel the antimicrobial activity and chemical composition of essential oil in the leaves of *** grown in *** essential oil was extracted from the leave of the selected plant species by hydro distillation using Clevenger type *** antimicrobial assay was done by disc diffusion methods against three bac-terial strains,Staphylococcus aureus,Pseudomonas aeruginosa and Escherichia coli,and one fungal strain:Candida *** isolated essential oil was analyzed by gas chromatography-mass spectrometry(GC-MS).The percentage yield of the essential oil was 0.064%(w/w).The essen-tial oil was found actively against the applied bacterial and fungal *** highest activity was found against *** and the lowest was against ***,and the order was ***>***>*** essential oil was also active against the fungus *** range of inhibition zones was 6-14 *** results of GC-MS analysis showed(E)-𝛽-caryophyllene to be the major component about 59.62%.Other major components included𝛼-selinene(14.03%),𝛼-humulene(8.65%),𝛽-selinene(4.99%),and𝛼-pinene(4.98%).In addition,several minor com-ponents were found in the essential oil of *** on the experimental results,it showed that the plant species that grown in Oman were a potential source of therapeutic *** con-clusion,the essential oil and the plant could be used as natural and potential therapeutic agents to treat earaches,skin rashes,and rheumatism.

关键词： Laurus nobilis Clevenger apparatus Essential oil Antimicrobial activity Gas chromatography-mass spectrometry(GC-MS)

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Milestones of Wireless Communication Networks and Technology Prospect of Next Generation(6G)

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Computers, Materials & Continua 2022年第6期71卷 4803-4818页

作者： mohammed H.Alsharif Md.Sanwar hossain Abu Jahid Muhammad Asghar Khan Bong Jun Choi Samih M.Mostafa Department of Electrical Engineering College of Electronics and Information EngineeringSejong University209 Neungdong-roGwangjin-guSeoul05006Korea Department of Electrical and Electronic Engineering Bangladesh University of Business and TechnologyDhaka1216Bangladesh Department of Electrical&Computer Engineering University of OttawaOttawaON K1N 6N5Canada Department of Electrical Engineering Hamdard University KarachiIslamabad CampusIslamabad44000Pakistan School of Computer Science and Engineering&School of Electronic Engineering Soongsil UniversitySeoulKorea Faculty of Computers and Information South Valley UniversityQena83523Egypt Academy of Scientific Research and Technology Cairo11516Egypt

Since around 1980,a new generation of wireless technology has arisen approximately every 10 ***-generation(1G)and secondgeneration(2G)began with voice and eventually introduced more and more data in third-generation(3G)and became highly popular in the fourthgeneration(4G).To increase the data rate along with low latency and mass connectivity the fifth-generation(5G)networks are being installed from ***,the 5G technology will not be able to fulfill the data demand at the end of this ***,it is expected that 6G communication networks will rise,providing better services through the implementation of new enabling technologies and allowing users to connect everywhere.6G technology would not be confined to cellular communications networks,but would also comply with non-terrestrial communication system requirements,such as satellite *** ultimate objectives of this work are to address the major challenges of the evolution of cellular communication networks and to discourse the recent growth of the industry based on the key scopes of application and *** main areas of research topics are summarized into(i)major 6G wireless networkmilestones;(ii)key performance indicators;(iii)future new applications;and(iv)potential fields of research,challenges,and open issues.

关键词： Wireless networks beyond 5G 6G communications terahertz frequency terahertz communications holographic calls

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Dm-Health App:Diabetes Diagnosis Using Machine Learning with Smartphone

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Computers, Materials & Continua 2022年第7期72卷 1713-1746页

作者： Elias hossain mohammed Alshehri Sultan Almakdi Hanan Halawani Md.Mizanur Rahman Wahidur Rahman Sabila Al Jannat Nadim Kaysar Shishir Mia Department of Software Engineering Daffodil International UniversityDhaka1207Bangladesh Department of Computer Science Najran UniversityNajran55461Saudi Arabia Department of Computer Science and Engineering Rajshahi University of Engineering and TechnologyRajshahi6204Bangladesh Department of Computer Science and Engineering Mawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of Computer Science and Engineering World University BangladeshDhaka1230Bangladesh

Diabetes Mellitus is one of the most severe diseases,and many studies have been conducted to anticipate *** research aimed to develop an intelligent mobile application based on machine learning to determine the diabetic,pre-diabetic,or non-diabetic without the assistance of any physician or medical *** study’s methodology was classified into two the Diabetes Prediction Approach and the Proposed System Architecture *** Diabetes Prediction Approach uses a novel approach,Light Gradient Boosting Machine(LightGBM),to ensure a faster *** Proposed System ArchitectureDesign has been combined into sevenmodules;the Answering Question Module is a natural language processing Chabot that can answer all kinds of questions related to *** Doctor Consultation Module ensures free treatment related to *** this research,90%accuracy was obtained by performing K-fold cross-validation on top of the K nearest neighbor’s algorithm(KNN)&*** evaluate the model’s performance,Receiver Operating Characteristics(ROC)Curve and Area under the ROC Curve(AUC)were applied with a value of 0.948 and 0.936,*** manuscript presents some exploratory data analysis,including a correlation matrix and survey ***,the proposed solution can be adjustable in the daily activities of a diabetic patient.

关键词： Machine learning diabetes-prediction support vector machine(SVM) LightGBM eHealth ROC-AUC

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The use of grass as an environmentally friendly additive in water-based drilling fluids

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Petroleum Science 2016年第2期13卷 292-303页

作者： M.Enamul hossain mohammed Wajheeuddin Department of Petroleum Engineering College of Petroleum Engineering and GeosciencesKing Fahd University of Petroleum & Minerals(KFUPM)

Excellent drilling fluid techniques are one of the significant guaranteed measures to insure safety, qual- ity, efficiency, and speediness of drilling operations. Dril- ling fluids are generally discarded after the completion of drilling operations and become waste, which can have a large negative impact on the environment. Drilling mate- rials and additives together with drill cuttings, oil, and water constitute waste drilling fluids, which ultimately are dumped onto soil, surface water, groundwater, and air. Environmental pollution is found to be a serious threat while drilling complex wells or high-temperature deep wells as these types of wells involve the use of oil-based drilling fluid systems and high-performance water-based drilling fluid systems. The preservation of the environment on a global level is now important as various organizations have set up initiatives to drive the usage of toxic chemicals as drilling fluid additives. This paper presents an approach where grass is introduced as a sustainable drilling fluid additive with no environmental problems. Simple water- based drilling fluids were formulated using bentonite, powdered grass, and water to analyze the rheological and filtration characteristics of the new drilling fluid. A particle size distribution test was conducted to determine the par- ticle size of the grass sample by the sieve analysis method. Experiments were conducted on grass samples of 300, 90, and 35 μm to study the characteristics and behavior of the newly developed drilling fluid at room temperature. The results show that grass samples with varying particle sizes and concentrations may improve the viscosity, gel strength, and filtration of the bentonite drilling fluid. These obser- vations recommend the use of grass as a rheological modifier, filtration control agent, and pH control agent to substitute toxic materials from drilling fluids.

关键词： Rheology - Filtration - Filter cake Apparentviscosity Plastic viscosity Gel strength

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BioCluster:Tool for Identification and Clustering of Enterobacteriaceae Based on Biochemical Data

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Genomics, Proteomics & Bioinformatics 2015年第3期13卷 192-199页

作者： Ahmed Abdullah S.M.Sabbir Alam munawar Sultana M.Anwar hossain Department of Microbiology University of Dhaka

Presumptive identifcation of different Enterobaeteriaeeae species is routinely achieved based on biochemical properties. Traditional practice includes manual comparison of each biochem- ical property of the unknown sample with known reference samples and inference of its identity based on the maximum similarity pattern with the known samples. This process is labor- intensive, time-consuming, error-prone, and subjective. Therefore, automation of sorting and sim- ilarity in calculation would be advantageous. Here we present a MATLAB-based graphical user interface （GUI） tool named BioCluster. This tool was designed for automated clustering and iden- tification of Enterobacteriaceae based on biochemical test results. In this tool, we used two types of algorithms, i.e., traditional hierarchical clustering （HC） and the Improved Hierarchical Clustering （IHC）, a modified algorithm that was developed specifically for the clustering and identification of within this species. IHC takes into account the variability in result of 1-47 biochemical tests family. This tool also provides different options to optimize the clus- tering in a user-friendly way. Using computer-generated synthetic data and some real data, we have demonstrated that BioCluster has high accuracy in clustering and identifying enterobacterial species based on biochemical test data. This tool can be freely downloaded at http：//***/ biocluster/.

关键词： Bacterial identification Enterobacteriaceae Biochemical properties Clustering tool Identification tool Hierarchy algorithm

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