Al-Bahir Journal for Engineering and Pure Sciences最新文献_第9页

Detection of Data over wireless mobile channels based on Maximum Likelihood Technique 基于最大似然技术的无线移动信道数据检测

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-10-16 DOI: 10.55810/2312-5721.1006

M. Israil

引用次数: 0

Forecasting the Demand for Asphalt Concrete in Karbala Governorate 卡尔巴拉省沥青混凝土需求预测

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-10-10 DOI: 10.55810/2312-5721.1007

Ghayath Ali, S. Mohammad, Shakir Al-busaltan

引用次数: 1

Evaluation of Geo-SPEBH algorithm based on Bandwidth for Big Data retrieval in Cloud Computing 云计算大数据检索中基于带宽的Geo-SPEBH算法评价

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-09-15 DOI: 10.55810/2312-5721.1005

A. Othman, Moses Timothy, Aisha Yahaya Umar, Abdullahi Salihu Audu, B. Souley, A. Gital

{"title":"Evaluation of Geo-SPEBH algorithm based on Bandwidth for Big Data retrieval in Cloud Computing","authors":"A. Othman, Moses Timothy, Aisha Yahaya Umar, Abdullahi Salihu Audu, B. Souley, A. Gital","doi":"10.55810/2312-5721.1005","DOIUrl":"https://doi.org/10.55810/2312-5721.1005","url":null,"abstract":"The fast increase in volume and speed of information created by mobile devices, along with the availability of web-based applications, has considerably contributed to the massive collection of data. Approximate Nearest Neighbor (ANN) is essential in big size databases for comparison search to offer the nearest neighbor of a given query in the ﬁ eld of computer vision and pattern recognition. Many hashing algorithms have been developed to improve data management and retrieval accuracy in huge databases. However, none of these algorithms took bandwidth into consideration, which is a signi ﬁ cant aspect in information retrieval and pattern recognition. As a result, our work created a Geo-SPEBH algorithm to solve this basic gap. The paper then assesses the performance of the Geo-SPEBH algorithm in terms of bandwidth in a distributed computing environment. Geo-performance SPEBH ' s was compared to existing state-of-the-art approaches using a network analyzer called Wire shark. The simulation results reveal that during retrieval, the same kb/sec of data is carried from source to destination and from destination to user. When the coding length is 8bit, the ﬁ ndings show that 0.091 kb/s of data is required to transport data from source to destination. Each algorithm with the same bit code requires the same amount of bandwidth to convey data.","PeriodicalId":218143,"journal":{"name":"Al-Bahir Journal for Engineering and Pure Sciences","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121579788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In silico Evaluation of the Antimalarial Potential of the Phytoconstituents of the Azadirachta indica Plant 印楝植物成分抗疟潜力的计算机评价

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-09-08 DOI: 10.55810/2312-5721.1004

Areh E.T., Atolani O., K. L.

{"title":"In silico Evaluation of the Antimalarial Potential of the Phytoconstituents of the Azadirachta indica Plant","authors":"Areh E.T., Atolani O., K. L.","doi":"10.55810/2312-5721.1004","DOIUrl":"https://doi.org/10.55810/2312-5721.1004","url":null,"abstract":"Background and objectives : Malaria, a parasitic protozoan disease caused primarily by Plasmodium falciparum, has killed millions of people in Africa, particularly those with meager or no access to orthodox medical facilities and therapies. Extracts from the Azadirachta indica ( neem) plant is believed to possess antimalaria properties among the locals that rely on herbs. Numerous in - vivo studies have suggested the antimalarial properties of neem extract and phytochemicals. This study employs an in - silico method through molecular docking techniques to provide insight while adding credence to the antimalarial potential of phytochemicals of neem plants as claimed in folkloric medicine. Methods : e The crystal structure of P. falciparum a causative parasite of malaria was retrieved from the Protein Data Bank, and Azadirachta indica phytochemicals were obtained from the PubChem database. Molecular docking through virtual screening was carried out on the characterized phytochemicals. The bioactive compounds from the Azadirachta indica plant were investigated by docking with the crystal structure of P. falciparum receptor and compared with standard antimalarial drugs (lumenfrantrine and artemisinin). Results : Three Azadirachta indica phytochemicals (gedunnin, nimbinene and salanin) shows a competing binding energy and af ﬁ nity when compared to the approved antimalarial drugs (lumefrantrine and artemisinin). While the binding af ﬁ nities for azadirachtin, nimbandiol and quercetin is lower than the af ﬁ nity in artemisinin but comparable with lumefrantrine. Conclusion : This virtual screening veri ﬁ ed and identi ﬁ ed a potential phytochemical component of antimalarial properties against a protein target: 1m7o, P. falciparum triosephosphate isomerase (PfTIM).","PeriodicalId":218143,"journal":{"name":"Al-Bahir Journal for Engineering and Pure Sciences","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122345407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Best Neural Network Approximation by using Bernstein Polynomials with GRNN Learning Application 基于Bernstein多项式的最佳神经网络逼近与GRNN学习应用

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-09-03 DOI: 10.55810/2312-5721.1003

H. A. Almurieb, Anwar Anwer Hamody

引用次数: 0

Using the ICP-MS method, the concentration of uranium in soil samples from the Northern Basrah governorate was determined 采用ICP-MS法测定了巴士拉省北部土壤样品中的铀浓度

Al-Bahir Journal for Engineering and Pure Sciences Pub Date : 2022-08-02 DOI: 10.55810/2312-5721.1002

T. Salman, M. A. Algrifi

引用次数: 1