Authors:Taiwo Olusola OGUNSEITAN; Joseph Mubo AWOTUNDE, Raimot Adepeju LAWAL, Olusegun Michael AJEİGBE Abstract: Climate variability is one of the most serious environmental threats facing mankind worldwide. It affects agriculture in several ways, including its direct impact on food production such as production of tomato. This study assessed smallholder farmers’ observable effects of climate variations on tomato yield and adaptation strategies in Imeko Afon. Random sampling technique was used to select 294 tomato farmers from 12 rural communities. The study area was purposively chosen due to its highest number of tomato farmers. Well-structured interview Schedule was used to obtain data on the observable effects of climate variations on tomato yield, various adaptation strategies used by the farmers and also socio-economic characteristics of tomato farmers. Data were analysed using descriptive statistics and Pearson’s Chi-square test. The findings revealed that 88.4%, 71.1%, and 68.0% of the respondents strongly agreed that negatively affected planting season,unpredictable timing of harvest and reduced yield of tomato resp ectively were common observable effects of climate variation on tomato production. Chi-square test reveals that there is significant (p≤0.05) relationship between socio-economic characteristics and adaptation strategies used. Therefore, climate variations negatively affected tomato production leading to poor yield and high financial loss in the study area. Using of irrigation system, improved varieties,provision of training, and keeping the farmers informed about climate variation were recommended. PubDate: Tue, 31 Aug 2021 00:00:00 +030
Authors:Oguche AMODU INNOCENT Abstract: This study aims to investigate the compressive strength of concrete produced with partial replacement of cement with mango seed ash (MSA). The oxide composition analysis of MSA indicates that the Ash is pozzolanic in nature and contains about fifty-eight (58.26%) percent of SiCO2. Consistency, setting times, compressive, Slump, Compacting Factor test were carried out on both the fresh and hard concrete. Mix ratio 1:2:4 was used in preparing each of the samples from which nine concrete cubes were cast at each replacement levels of; 0%, 5%, 10%, 15%, 20%, 25%, and 30%. Compressive strength test performed on the cubes at 7days, 14days, and 28days curing periods showed that the strength of the test cubes decreases with an increase in MSA content. The 28days compressive strength of cement-MSA concrete cubes was observed to have attained its highest compressive strength of 23.70N/mm2 at 5% replacement level. The compressive strength result obtained from the partial replacement of cement with MSA is less than that of the control specimen due to weak bonds, light weight and elemental chemical composition of MSA, which was less than that of cement. Some of the advantages to be derived from this partial replacement are; to promote waste management at little cost, to bring about the low capital cost per tonne production compared to cement, to reduce pollution caused by these waste, to promote conservation of lime stone deposit and reduction in CO2 emission. PubDate: Tue, 31 Aug 2021 00:00:00 +030
Authors:İnci BİLGE; Emre AYDEMİR Abstract: In this study, taking into account the responses of living things to the wavelength of light; Among the poultry species, which are more sensitive to green and red light wavelengths than humans, Japanese quails were used as model animals. In the study, the effects of red and green light wavelengths on gender and the responses of model animals of the same sex were examined. In the study, in the light application, the sound signals were taken in a specially isolated insulated environment. The recordings were analysed in frequency and time period using spectral analysis methods in the Matlab program. The maximum, minimum, average value, variance, dynamic range (Hz), peak frequency and autocorrelation time (S) values of the signal were found. These values, multiple comparison tests of male, female and male-female groups were performed in the study. While there were significant differences between the groups in the study; the red light application was estimated to be close to each other between the minimum and maximum values in the 1st and 7th weeks, variance, peak frequency and autocorrelation time (S) values. The reason for this is that poultry is more sensitive to green and red light wavelengths. It is an indication of the adapted adaptation for red light application (~ 625-740 nm, ~ 480-405 THz). In addition, in the control and green light applied groups, the data give statistically significant results; it is an indication that the wavelength of light has an effect on the frequency of sound. According to the results of the multiple comparison tests, a statistically significant difference was found between the groups (P = 0.05). Since there is no study on this subject, it is aimed to be a source of literature for other studies and to be the subject of scientific studies. PubDate: Tue, 31 Aug 2021 00:00:00 +030
Authors:Furkan ATLAN; İhsan PENÇE Abstract: Cryptocurrencies, whose popularity is increasing day by day today, affect the real economy, financial sector and daily life of countries due to the increase in demand and technological developments. In this study, it is aimed to estimate the value of Bitcoin (BTC), which has the most popular and dominant effect among cryptocurrencies, in Turkish Lira (TL) by using the United States Dollar (USD) / (TL) rate and date attributes and with the model to be created, present a generalized forecast model for other cryptocurrencies. The data feature used in the study covers the date range of 08.12.2016 and 08.12.2018. The multilayer perceptron techniqueis used for BTC/TL price estimation. As a result of the cross-validation test, estimation results of the multilayer perceptron technique are found to be successful and important. With the successfully developed model, it is possible to estimate price for BTC, Ethereum and Ripple with instant data in the future. PubDate: Tue, 31 Aug 2021 00:00:00 +030
Authors:İlhan UYSAL; Utku KÖSE Abstract: The World Health Organization defined the COVID-19 outbreak as a global epidemic (pandemic) on March 11 due to the occurrence of COVID-19 cases in 113 countries outside China where the first epidemic started, and the spread and severity of the virus. The virus epidemic, which emerged in Wuhan, the capital of the Hubei region of China on 1 December 2019, has spread throughout the world.The number of cases has exceeded 200 million and the number of deaths has exceeded 4 million. In this study, the symptoms and results of covid-19 were modeled with fuzzy logic and evaluated. In the model, the symptoms of the virus such as fever, dry cough, fatigue, loss of taste and smell, permanent pain in the chest, travel history, and sore throat were identified as input. The risk situation, quarantine situation, and isolation situation were determined as output, decision rules were created. These rules will make it easier to understand and use a model that cannot be built mathematically by building on natural languages and showing it with graphics as well as a rule table. With this study, it is predicted that it will be a model for decision-makers in the field of health. PubDate: Tue, 31 Aug 2021 00:00:00 +030
Open Access journal
