49 research outputs found
Suggesting new words to extract keywords from title and abstract
When talking about the fundamentals of writing research papers, we find that keywords are still present in most research papers, but that does not mean that they exist in all of them, we can find papers that do not contain keywords. Keywords are those words or phrases that accurately reflect the content of the research paper. Keywords are an exact abbreviation of what the research carries in its content. The right keywords may increase the chance of finding the article or research paper and chances of reaching more people who should reach them. The importance of keywords and the essence of the research and address is mainly to attract these highly specialized and highly influential writers in their fields and who specialize in reading what holds the appropriate characteristics but they do not read and cannot read everything. In this paper, we extract new keywords by suggesting a set of words, these words were suggested according to the many mentioned in the researches with multiple disciplines in the field of computer. In our system, we take a number of words (as many as specified in the program) that come before the proposed words and consider it as new keywords. This system proved to be effective in finding keywords that correspond to some extent with the keywords developed by the author in his research
Evaluation and Measuring Classifiers of Diabetes Diseases
Classification plays tremendous role in data mining process, especially for huge amount of data and it is suitable for predict new knowledge and discover patterns. This process can work with different types of data whether it was nominal or continuous. In this paper classification will be performs on diseases diagnoses by choosing to work with (k-nearest neighborhood algorithm KNN) measure and evaluate the method with (Artificial Neural Network ANN). These two classification methods have been chosen to classify (Pima-Indian-Diabetes PID) using spiral spinning technique. Classification done by taking 1 to 50 values of (K) in KNN versus 1 to 50 values of hidden layers for ANN in single iteration checking the accuracy as measuring to evaluate performance. T-test used to validate choosing two different factors (K in KNN and number of hidden layers in ANN), t-test results shows that the method is extremely statically significant. After performing classification by changing architecture, ANN proves better results than KNN in this disease classification
Effect of biotic and abiotic elicitors on Salvadora persica callus in vitro
أجري البحث لغرض دراسة تأثير تراكيز مختلفة من الجسيمات النانوية (الكيتوزان وثاني أكسيد التيتانيوم) و Fusarium oxysporum كمحفزات لزيادة إنتاج المركبات الفعالة من كالس نبات المسواك. اظهرت نتائج المحتوى الكلي مركبات الفلافونويد والقلويدات التي ازاد انتاجها عند اضافة الكيتوسان بتركيز 5 ملغم / لتر، وثاني أكسيد التيتانيوم بتركيز 1 ملغم / لتر، و Fusarium oxysporum بتركيز 5 ملغم / لتر حيث اعطت 93.10 ملغم / 100 ملغم، 128.7 ملغم / 100 ملغم، و 107.61 ملغم / 100 ملغم على التوالي للفلافينودات بينما ساعدت المحفزات على انتاج القلويدات بمعدل 2.39 %، 3.91%، و2.20% على التوالي. وأوضحت النتائج التفوق في وجود مركبات الفلافونويد في العينات مقارنة مع القلويدات. بين تحليل HPLC( تحليل كروماتوغرافي سائل عالي الأداء) اختلافات كبيرة في زيادة إنتاج الفلافونويد (Rutin, Kaempferol, Quercetin, Catechin, Luteolin, and Apigenin) أدت إضافة الكيتوسان عند التركيز 5 ملغم / لتر إلى زيادة إنتاج Rutin ، بمقدار 39.89 ملغم/لتر. أما الكالس المستحث المعالج بثاني أكسيد التيتانيوم بتركيز 1 ملغم/لتر فقد أدى إلى زيادة Rutin بمعدل 35.89 ملغم/لتر. بينما ارتفع إنتاج Rutin إلى 30.12 ملغم/لتر عند معاملته بـ Fusarium oxysporum بتركيز 5 ملغم/لتر.The research was conducted to study the effect of different concentrations of nanoparticles (chitosan and titanium dioxide) of Fusarium oxysporum as elicitors to increase the production of active compounds from Salvadora persica callus. Determine the total flavonoids and alkaloids rustle that chitosan in 5 mg/L, titanium dioxide in 1 mg/L, and Fusarium oxysporum in 5 mg/L give 93.10 mg100mg, 128.7 mg/100mg, and 107.61 mg/100mg respectively whereas alkaloids give 2.39%, 3.91%, and 2.20 % respectively. The results showed superiority in the presence of flavonoids in the samples compared with alkaloids. HPLC (High-performance liquid chromatography) analysis shows significant differences in increasing flavonoid production (Rutin, Kaempferol, Quercetin, Catechin, Luteolin, and Apigenin) the addition of chitosan at 5 mg/L led to an increase in the production of Rutin, at 39.89mg/L. As for the induced callus treated with titanium dioxide at 1 mg/L, it increased Rutin to 35.89mg/L. While Rutin increased its production to 30.12 mg/L when treated with Fusarium oxysporum at 5 mg/l
PHYLOGENETIC ANALYSIS, HISTOLOGICAL EXAMINATION AND SCANNING ELEC-TRONIC MICROSCOPE OF SARCOCYSTIS SPECIES IN SLAUGHTERED CATTLE IN AL-DIWANIYAH PROVINCE/ IRAQ
Due to the importance of the Sarcocystis is a parasite that causes zoonotic disease. The aim of the study was to diagnosed the Sarcocystis spp. in cattle by traditional methods including microscopically, histological examination followed by using PCR method and phylogenetic analysis, the traditional methods including (Morphological examina-tion, squeezing method, trichnoscopy method, and pepsin digestion method), the re-sults showed the rate of Sarcocystis spp. infection was (76%) microscopically in which out of 70 slaughtered cattle samples, 48 were positive in different parts in Al-Diwaniyah province/ Iraq within the period from May 2022 to December 2022. While using the PCR technique using the 18S rRNA gene (size=613 bp) of Sarcosystis sp. that was produced using the maximum likelihood method (500 replicates). The per-centage of the tree that is made up of the related taxa is shown after the branches, the result of molecular test was (85%), in addition to the analysis of the genetic tree of the sequences which shows the percentage of local Sarcosystis sp. in cattle that matches the NCBI-BLAST homology sequence. These sequences were compared to other in-ternational sequences and were placed in the gene bank with the accession numbers OQ119751, OQ119752, OQ119753, OQ119754, OQ119755, OQ119756, OQ119757, OQ119758, OQ119759, and OQ119760 and showed presence of genetic mutation in the many different accession numbers
The impact of fire flames on the mechanical characteristics of basalt fiber-reinforced geopolymer concrete composed of sustainable components
The use of geopolymer concrete (GPC) has been proposed to reduce carbon dioxide (CO2) emissions linked to the cement production. Fire poses a significant risk to concrete structures, as it causes mechanical degradation of the concrete. This research used 70% Granulated Ground Blast Furnace Slag (GGBFS) and 30 % Fly Ash (FA) to synthesis Geopolymer Concrete (GPC). The alkaline activation solution was created by mixing sodium silicate (Na2SiO3) and sodium hydroxide (NaOH) at a concentration of 12 molarity. The ratio of the solution to the cementitious material was 0.4. The weight ratio of sodium silicate to sodium hydroxide was 2.5:1. Basalt fibres were used for reinforcement at volume fractions of 0.5 %, 0.75 %, and 1 %. The geopolymer concrete specimens were subjected to an elevated temperature of 70 °C in an oven for 4 hours, which is similar to the curing time of 2 days. After 56 days, the specimens were burned at three different temperatures of 300 °C, 500 °C, and 700 °C for one hour. The required tests (compressive strength, flexural strength, splitting tensile strength, and mass loss percentage) were conducted before and after the burning procedure. The residual compressive strength percentages obtained were 90 %, 73 %, and 61 %, the residual flexural strength percentages were 91 %, 70 %, and 51 %, the residual splitting tensile strength percentages were 89 %, 68 %, and 50 %, and the mass loss percentages were 1.271 %, 1.557 %, and 2.035% for a 1% ratio of basalt fibre at 300 °C, 500 °C, and 700 °C, respectively. Geopolymer concrete is highly resistant to flames, even at temperatures of up to 700 °C
GIS and Multicriteria Decision Analysis for Landfill Site Selection in AL-HashimyahQadaa
Waste management system is not well regulated in Iraq. Despite the fact that there are various techniques used for solid waste disposal, landfill is the most common mode for the disposal of solid waste in Iraq, landfill site selection criteria is quite complex process and it depends on several regulation and factors. In this study landfill site selection is performed by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS) for the Al-Hashimyahqadaa. Existing landfills in qadaa are temporary and/or non-conforming to the environmental conditions. In order to determine landfill site, several criteria were examined such as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, Slope, Streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types are prepared. MCDA was used to measure the relative importance weighting for each criterion. Each map layer was prepared using GIS and the final suitable map was created by overlay analyses of each criterion maps. According to the results, high and low suitable areas were determined in the study area. Field site check was performed to determine the accuracy and suitability of the candidate sites.Godkänd; 2014; 20140210 (nadhir
Structural and photoluminescence properties of Ni doped CdS nanoparticles synthesis by sol gel method
Al-Mseiab Qadaa landfill site selection using GIS and multicriteria decision analysis
Solid waste management is becoming more serious problem with time especially in developing countries like Iraq. It is not regulated sufficiently in Iraq. At present, there are various techniques used for solid waste management such as landfill, thermal treatment, biological treatment, recycling etc. The landfill is the most common mode for the disposal of solid waste. There are no regulations for landfill site selection which is quite complex process. In this study, landfill site selection was performed by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS) for the Al-Mseiab qadaa. Even in the case of existing landfills in this qadaa, it's temporary or non-conforming to the environmental condition. In order to determine landfill site that is good for the inhabitants and the environment several criteria (e.g. as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, Slope, Streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types) were used to select the proper site. The MCDA was used to measure the relative importance weighting for each criterion used. Each map layer was formed with the aid of GIS and final suitability map was created by overlay analyses of each criterion map. According to obtained results, high and low suitable areas were determined in the study area. Field checks were also performed to determine the accuracy and suitability of candidate site.Validerad; 2014; 20140626 (nadhir)</p
Modeling Landfill Suitability Based on GIS and Multicriteria Decision Analysis: Case Study in Al-Mahaweelqadaa
Waste management system is not regulated in Iraq. At present, there are various techniques used for solid waste management such as landfill, thermal treatment, biological treatment, recycling etc. Landfill is the most common mode for the disposal of solid waste. However, landfill site selection is quite complex process and it depends on several criteria and regulations. In this study landfill site selection is performed for Al-Mahaweel qadaa using Multicriteria Decision Analysis (MCDA) And Geographic Information System (GIS). It should be mentioned however, that the existing landfill in this area, is temporary and does not fulfill the environmental conditions. To select suitable landfill site, several criteria were considered such as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, slope, streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types are prepared. (MCDA) was used to evaluate the relative importance of each criterion. Each map layers were formed with the aid of GIS and final suitability map was created by overlay analyses of each criterion map. According to obtained results, high and low suitable areas were determined in the study area. Field and office checks were performed out to determine the accuracy and suitability of the candidate sites.Godkänd; 2014; 20140617 (nadhir)</p
