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Thevetia peruviana, cultivated as an ornamental plant and planted as large flowering shrub, belongs to the family Apocynacea. The aim of this study is to screen the phytochemicals present in the leaves of Thevetia peruviana and further analysis of the components present in it by GC- MS analysis.The leaves were sequetially extracted based on the polarity viz., hexane , acetone and methanol and subjected to phytochemical screening which revealed the presence of bioactive compounds such as alkaloids, flavanoids, cardiac glycosides, steroids, terpenoids, tannins, phenols, quinones and saponins.The GC- MS analysis of the acetone extract revealed the presence of 33 compounds. This study forms a basis for the biological characterization and importance of the compounds identified.

Plant diseases are widespread by a variety of pests, weeds and pathogens and can have devastating effects on agriculture if not treated in time. Farmers face a myriad of challenges due to adequate water supply, premature rain, storage facilities, and diseases of multiple crops. Plant diseases are a major threat to farmers with enormous production and economic loss. Identifying disease on a few hectares of farmland can be a daunting task, even in the presence of modern technology. Accurate and rapid disease prediction for early crop disease treatment has proven to be productive for healthy crops as well, minimizing personal financial loss. Many studies use modern deep learning approaches to improve the accuracy and performance of object detection and identification systems. Crop diseases are a constant challenge for smallholders, threatening income and food security. The proliferation of smartphones and recent revolutions in computer vision models has created a method of image classification in agriculture. Convolutional neural networks (CNNs) are considered the cutting edge of image recognition and offer the possibility of making timely and clear diagnoses. This article examines the performance of a pre-trained ResNet 34 model in the detection of plant diseases. The developed model can be used as a web application to detect seven plant diseases from healthy leaf tissue. A dataset containing images of 8,685 leaves. Captured in a controlled environment and established for model training and validation. Verification results show that the proposed method can achieve an accuracy of 97.2% and an F1 score of over 96.5%. It demonstrates the technical feasibility of CNN in plant disease classification and points the way to AI solutions for smallholders.

To contribute to the resolution of the problem relating to the growth of plantain (Musa spp.), the growth parameter of plantain was evaluated under Kindu conditions using the Fertilizers (Control, Sawdust and rice husks) as substrate. The experiment was conducted in the experimental device installed in the concession of the University of Kindu, department of phytotechnics comprising 6 treatments, corresponding to ten repetitions for each treatment. The observations made during this investigation focused mainly on the diameter at the collar (cm), Height of the pseudostem (m) and the leaf area). The results obtained showed that: The height of the pseudostem, the diameter at the collar and the leaf area varied from one cultivar to another and according to the fertilizers used; - Sawdust was the best fertilizer, compared to rice husks and controls; - the Mbonjilo C4 cultivar is the tallest cultivar, from the point of view of the collar diameter it is the Mbudi 1 cultivar, on the other hand from the leaf area point of view it is the Mbonjilo cultivar which has the most open leaves.

Kurdistan area as a part of Iran has an important role in economy , security and production . Author studies the education and social services in this area that includes Kurdistan provinces and mostly they speak Kurdish language.As this part of country is very important the writer has studied the education and social services situation in this area . Using the library and field research and reliable resources and analytic deduction I have compared the literacy situation in 1390 census. The literacy situation in a group of six years old and more children and college students also health situation for mortality and medical have been studied . The interval between these indices and the country is determined. In this article the results show that the average literacy in Kurdistan of Iran in 1390 census is 80.22 percent while in the country is 84.75 percent. And this interval is less in rural areas, it means that the literacy in Kurdistan rural areas is about 73 percent and in the is 75.10 . Also ratio of professor to the student in the country for 5.98 students is one professor while in Kurdistan area is 6.81 . About health , Kurdistan situation is really different from the country for example about mothers mortality because of pregnancy in 2009 in the country 437 and in Kurdistan 60 people are dead. IF we compare this figure with Kurdistan population ratio to the country we can see that there is a significant interval between these indices. Kurdistan population is 9.41 when the babies morality is 13.72 in the country and the total mortality in this year is 5.1 percent in the country .And the mortality in the area is 5.2 percent.Now according to research conclusions and significant differences between social and public indices : Kurdistan area needs to a serious and special attention and the area social policies need to be review seriously because this area has an important role in producing agricultural – garden productions and the country security . Also, education is very necessary in this area. It sounds that education is a base to decrease the significant intervals in the indices of the area and the country .We can gain this goal by planning for the country educational system and training the skillful and experienced work force.

The purpose of the study was to establish psychosocial factors affecting marital stability among middle-age couples in Suneka, Kisii. The study used a descriptive research design. The target population of the research was 1000. Yaro Yamane’s formulae was used to obtain a sample size of 285. The data was collected using a questionnaire with 32 items. The data analysis was done using Statistical Package for Social Science (SPSS) version 20 and the statistics presented using frequency tables and pie charts. The results of the study indicated that contrary to God’s desire for couples—man and woman to stay together in their marriage union, there is increased divorce. This is as result of various theories about how marriage ought to be which means for couples to stay together there is need for biblical teachings to clearly state the purpose of home and the family as well as emphasize the importance of marriage, marriage enrichment, and marital commitment. However, as much as communication is at the center of a highly functioning marriage, quality sexual performance by the couples is the main tributary of it—the only key communication which enhances the joyful and thankful relationship.

Infertility has a strong and negative impact in several areas of the individual’s life. The infertile women may lose prestige in society, may develop a low self-esteem, and may lose hope for the future. This study compared psychosocial responses in 90 infertile women and normal women. An ex post facto design was used. The subjects of the present study were infertile women in an infertility treatment center in Ahwaz, Iran. Women selected by randomly sampling. The women completed the psychosocial responses. Data were analyzed using analysis of variance. Differences were found between the groups on the psychosocial responses (self-image/self-esteem, guilt/blame, sexuality problems, and interpersonal relationship).

Endangering the environment, depletion of natural resources Valvdh of basic resources), water, soil, air) to treat a condition that it should search way. Prevention, treatment considered low cost. In other areas, such as social environment, education is considered as a way to prevent disease. Encapsulation is measured them. Dez most cases, the objectives of the two documents overlap with each other in order to protect the environment, but in some cases together with a small Akhlafaty. The document of fundamental transformation goals too low and indirectly referred to the environmental parameters.

Primary retroperitoneal hydatid cysts of the psoas muscle are rare. We report the case of a recurrent hydatid cyst of the psoas muscle in a 57-year-old patient with a left lumbar-iliac mass. Ultrasound and computed tomography contributed to preoperative diagnosis. The mass was completely removed via a retroperitoneal approach. We will discuss in this article the diagnostic and therapeutic aspects of the psoas hydatid cyst.

Recent studies have shown That job satisfaction Positive definite form With users' satisfaction Information is relevant. This study has shown The job satisfaction of both the At the individual level and organizational level Will be effective upon execution and performance. In this study, Accountants to review the consent Into the computer accounting system And its impact on job satisfaction Accountants Kermanshah province has focused on government agencies. Other analyzes of other Including gender, type of accounting information systems, the number of tasks, frequency of computer use And is computer literate. These studies on 43 Accountants employed in public organizations has been the province of Kermanshah. Results from these studies show The job satisfaction of accountants Certainly with the consent of the accounting information system Their relationship is positive. Also, job satisfaction Higher with more frequent use The computer is connected. No evidence And there is evidence that other communication Among other variables with job satisfaction And consent of the accounting information system Is available. It is therefore proposed studies The accounting system designers Visitors should use the More aware and involved the use The building's computer system.

Improper disposal of wastewater is one of the major problems our societies are facing today. The high cost of treating waste produced by industries every day is very high, which makes it difficult for industries to treat their wastewater effectively before disposal or reuse. The aim of this research work is to characterize the adsorbent (carbide ash) and use it to remove the four different heavy metals (Cadmium, nickel, cobalt, and manganese) present in wastewater. The drying method was used for the carbide ash waste while the adsorption method was used for the wastewater treatment. The moisture content of the ash was determined, and analytical techniques was used to characterize the ash are Fourier transform infrared spectroscopy (FTIR), scanning electron microsco [FTIR, (SEM), X-ray diffraction (XRD), thermogravimetric analysis (TGA) Brunauer-Emmett-Teller (BET) and atomic absorption spectroscopy (AAS) for the quantification of the untreated and treated wastewater. FTIR results showed the spectrum at 3218cm-1 (stretching vibration hydroxyl group), 1375.cm-1 (bending vibration of methyl group), 764.1 cm-1 ( presence of calcium oxide), scanning electron microscope (SEM) which shows the smooth morphology of carbide, X-ray diffraction (XRD) identified mineral composition (Portlandite Syn = 65 %, Lime = 24 %, Osumilite = 3.9 %, Quartz Syn = 2.8 %, Graphite-3R = 1 % and Anhydrite Syn = 3.1 %) of carbide ash sample, th ermogravimetric analysis (TGA) which shows the stability of carbide ash at decreased mass of 20 g when its temperature increased reaches 470 °C and Brunauer-Emmett-Teller (BET) analysis which shows the pore sizes of 5.0783 e. The quantitative analysis of the adsorption treatment was carried out by the optimization of (dosage, time and pH). The result of the moisture content is (4.5 %). The results for the analysis for the optimized dosage for the four metals (Cd, Mn, Ni, and Co) are (80.71, 79.9, 99.89, and 80.29) %. The pH optimization for the four metals (Cd, Mn, Ni, and Co) are (81.09, 97.56, 75.58, and 85.47) % respectively and for the time optimization of the four metals (Cd, Mn, Ni, and Co) are (81.09, 81.0, 73.41, and 72.06) % respectively. In conclusion, this study proves that carbide ash is effective for the removal of heavy metals from industrial wastewater, with removal efficiency of 99.8%.