Economic growth and employment are taken as the two major objectives of macroeconomic policy schema in both the developing as well as developed countries. This study aims to determine the relationship between the unemployment rate and GDP growth rate of Nepal using the time-series data from 1991-2020. Difference version approach, dynamic version approach and Granger causality test were used to study the relationship between the macroeconomic variables. The difference version and dynamic version approach showed non-significant results for the regression of unemployment rate on economic growth rate which implies that the unemployment rate is not significantly affected by the economic growth rate of Nepal. The Okun’s coefficient in the difference version was -0.057 and in the dynamic version approach it was -0.058. Thus, the Okun’s law doesn’t seem to hold in case of Nepal’s economy. The Granger causality test also revealed that the change in the unemployment rate is not a predictive variable of the GDP growth rate and vice versa. The non-significant relationship between the macroeconomic variables might thus be affected by other factors. Thus, it can be suggested to the government and policymakers to recuperate the ways of solving the unemployment by formulating economic policies that are more directed towards structural and labor market transformation. Tax reduction policy, increase in government spending, skill enhancement programs and youth employment subsidy can also be suggested.

Çok fazla sayıda faydalı ve zararlı mikroorganizma insan gastrointestinal ekosistemini kolonize etmektedir. Bunlardan, faydalı bağırsak bakterilerinin sayısız ve önemli işlevleri bulunmaktadır. Bağırsak mikrobiyotasındaki bir dengesizlik, çeşitli hastalıkların (örneğin, tip 1 diyabet, kanser ve benzeri) gelişmesine yol açabileceğinden, bağırsak mikrobiyotasını değiştirmek için probiyotiklerin, paraprobiyotiklerin ve postbiyotiklerin kullanımı son zamanlarda ilgi çekmektedir. Bu kavramlar genellikle birbiri ile karıştırılmaktadır. Paraprobiyotik kavramı, öldürülmüş mikrobiyal hücrelerin kullanımını içerirken, postbiyotikler canlı mikrobiyal hücrelerin metabolik ürünlerini ifade etmektedir. Bu derlemede, probiyotik, paraprobiyotik ve postbiyotik yaklaşımları hakkında detaylı bilgi verilmesi amaçlanmıştır. Bu kapsamda, bu gruplar içerisinde yer alan mikroorganizmaların ve metabolitlerin neler olduğu, etki mekanizmaları, klinik özellikleri ve potansiyel terapötik uygulamaları hakkında bilgi sağlanmaktadır.

The detection of weeds with computer vision without the help of an expert is important for scientific studies and other purposes. The images used for the detection of weeds are recorded under controlled conditions and used in image processing-deep learning methods. In this study, the images of 3-4-leaf (true-leaf) periods of the wild mustard (Sinapis arvensis) plant, which is the critical process for chemical control, were recorded from its natural environment by a drone. The datasets were included 50-100-250-500 and 1 000 raw images and were augmented by image preprocessing methods. Totally 12 different augmentation methods used and datasets were examined for understand how to affects the numbers of images on training-validation performance. YOLOv5 was used as a deep learning method and results of the datasets were evaluated with the Confusion Matrix, Metrics-Precision, and Train-Object Loss. For results of Confusion Matrix where 1 000 images gave the highest results with TP (True Positive) 80% and FP (False Positive) 20%. The TP-FP ratios of 500, 250, 100 and 50 image numbers were respectively; 65%-35%, 43%-57%, 0%-100% and 0%-100%. With 100 and 50 images, the system did not show any TP success. The highest metrics-precision ratio was found 92.52% for 1 000 images set and for 500 and 250 image sets respectively; 88.34% and 79.87%. The 100 and 50 images datasets did not show any metrics-precision ratio. The minimum object loss ratio was 5% at 50th epochs in the 100 images dataset. This dataset was followed by other 50, 250, 500, and 1 000 images respectively; 5.4%, 6.14%, 6.16%, and 8.07%.

Feed costs are of great importance for an economically and ecologically sustainable livestock, as they constitute approximately 60-70% of the costs in animal husbandry. As in the whole world, price increases were observed in feed raw materials depending on the supply-demand balance and pandemic conditions in our country, and this situation was also reflected in feed prices. For example, when the prices of broiler and egg feeds were analyzed between January and November 2021, an increase of 59.7% and 62.6% was observed, respectively. Feed mixes are prepared and fed in order to meet the daily nutritional needs of animals in an optimum way and at minimum cost. In order to meet this need, the research of alternative feed raw materials and their use in rations have been researched for many years. With this study, it was aimed to determine the nutritional composition of the processing by-products (rice broken, bean broken, chickpea broken, lentil broken, lentil bran, corn mix, bulgur bran, sub-semolina by-products) of food production factories and to reveal the possibilities of their use as alternative feed raw materials in animal nutrition. In addition, up-to-date data on the feed industry in Turkey were presented, and the importance of the orientation to alternative feed raw materials in terms of economy, product diversity and sustainability in Turkey and in the world was emphasized. Crude cellulose (HS) ratio of lentil bran, which is one of the under-sieve products, was found to be the highest numerically with 20.6%, followed by bulgur bran (12.7%). However, NDF and ADF contents were also found to be numerically high. Crude protein values were found to be the highest numerically in legume products (21.83%), beans (20.58%) and lentils (24.15%) among the processed residues. In addition, it will be useful to determine the usage rates in the ration, taking into account the anti-nutritional properties of each product.

This study compared the forage quality of Cajanus cajan, Stylosanthes mucronata, Tephrosia purpurea, and Securinega virosa in the savanna ecological zone of Ghana. The shrubs were cultivated using Randomized Complete Block Design (RCBD) and their growth were monitored. Leaf samples were hand-harvested at 7, 10, and 13 weeks after establishment, air-dried, pulverised, and used for laboratory analysis. Nitrogen (N), Phosphorus (P), Potassium (K), Calcium (Ca), and Magnesium (Mg) were determined. N, P, K, Ca and Mg contents among the shrubs ranged from 0.74 - 0.79%, 1.32 - 1.99%, 7.63 - 10.09%, 2.22 - 3.06 and 1.08 - 1.38%, respectively. Stylosanthes mucronata was significantly lowest in both P (1.318%) and K (7.63%), whilst Securinega virosa was significantly highest in K (10.09%). Among the three maturity levels, N, P, K, Ca and Mg contents ranged from 0.31 – 1.05%, 1.51 - 1.93%, 7.46 - 10.43%, 2.63 - 2.67% and 1.28 - 1.30%, respectively. Except for P, which was significantly lowest at 10 weeks after establishment (WAE), N and K were significantly highest at 7 WAE and lowest at 10 and 13 WAE, respectively. It was observed that the shrub species and maturity levels influence the nutrient content of forage shrubs.

Natural products have gained great interest due to their broad spectrum of biological activities and bioactive compounds. In this study, silver nanoparticles (AgNPs) were synthesized using Astragalus logopodioides L. by green approach. The structure of AgNPs was elucidated by spectroscopic techniques. UV-Vis spectrum presented the maximum absorption of AgNPs as 419 nm. The crystal structure of AgNPs was assigned as face centered cubic by X-ray diffraction (XRD) pattern. Scanning electron microscope (SEM) established morphology of AgNPs with an average size of 36.4 nm. A. logopodioides included the bioactive compounds, So, AgNPs capped by these compounds could be valuable substances for food and pharmaceutical applications.

Ethiopia is considered as the possible origin and center of diversity for okra. Therefore, this study was conducted with the objectives of determining the genetic distance between indigenous okra collections and exotic commercial varieties and assessing genetic diversity of okra genotypes. The field experiment was conducted at Dire Dawa in 2016 using 14 indigenous collections and 11 exotic varieties in 5 x 5 triple lattice design. Data were collected on 9 and 29 qualitative and quantitative traits, respectively. The genetic distance measured by Euclidean distance ranged from 3.1 to 12.6 with a mean of 7.2. The highest genetic distances were observed between indigenous okra collections and exotic varieties viz. Guba-12 and NamdHari (12.6) followed by Guba-12 and Vellayani (12.3) and Mythri and Guba-12 (11.8). Dendrogram constructed by Unweighted Pair-group Method with Arithmetic Means grouped the 25 genotypes into seven major clusters in which the three clusters (Cluster II, III and V) were solitary, consisted of one genotype each, Cluster I consisted of six Indian commercial varieties, Cluster IV comprised of seven genotypes (four indigenous okra collections, one variety from USA and two from India), while Cluster VI and VII comprised of 5 and 4 indigenous okra collections, respectively. This study revealed the presence of wide genetic diversity among indigenous okra collections and exotic commercial varieties.

Considering the importance of water in the world, the amount of usable water is not sufficient throughout the world, the existing available fresh water resources are not enough, therefore, water shortages may be encountered in the following years. Keeping the quality of water as it is demanded gains more importance than before. Particularly, heavy metals begin to interfere with groundwater resources, and the quantity of pollution growing due to industrialization, and urbanization. In the present study, the quantitative analysis of heavy metals in harvested rainwater from the rooftop of public buildings in Bornova, Izmir is investigated. The results show that a minimum of 5 μg of copper, 4 μg of zinc, 2.69 μg of lead, 0.095 μg of cadmium, 0.55 μg of chromium, 89,7 μg of iron, 0.96 μg of arsenic, 0.0119 μg of mercury and 3.88 μg of nickel should be tossed away for obtaining a liter of potable water. In conclusion, first flush diverters are recommended to convert these non-point pollutants to point source. Thus, municipalities can take necessary measures to protect the environment such as using phytoremediation and hyperaccumulator plants in sewages.

The objective of this study was to find out the effects of torque rise on lugging ability of tractors. In British terminology, torque rise refers to torque back-up or torque reserve. Torque rise is the amount of torque that the engine can produce above the manufacturers rated amount of torque. It is the percent increase in torque, from rated torque to peak torque. In order to meet the above objective, two tractor reports issued by Nebraska Tractor Test Laboratory were used. Powertrain schemas obtained from three different tractor manufacturers were used and the total transmission ratios from these schemas were calculated. The effect of torque rise on lugging ability of the two tractors with four different gear boxes was studied. From the study, it was concluded that higher torque rise enables the tractor to run in a wide range of torque and the gear box to be chosen should be such that it can match with the engine.

Frost events are of particular importance for plants. Its occurrence determines growing season. Early or late frost events may cause injuries and damage in plants which have not yet entered dormancy in fall/winter, and for plants in flowering period in winter/spring. Global average temperature increase has been accompanied by changes in extreme temperature events. Observations have shown that there has been a decreasing pattern in frequencies and intensities of frost events. In this sense, it is aimed in this study to analyse probabilities of frost occurrences within the latest 30-year climatic normal period, from the cold period of 1991-1992 to that of 2020-2021, at five locations (Aydın, Kuşadası, Nazilli, Söke ve Sultanhisar) in the province Aydın, western Türkiye. Six frost indices were selected, and three temperature thresholds to define frost were considered when daily minimum temperature (TMIN) being equal to or less than 0.0, -1.2 or -2.3°C.The selected frost indices are first fall frost (FFF), last spring frost (LSF), frost period (FP), number of frost days (NFD), dates of frost occurrences (DFO) and consecutive frost days (CFD). The results revealed that Nazilli and Sultanhisar are characterized by the highest probabilities of frost in terms of frequency, intensity and duration, along with the earliest occurrence of first fall frost and latest occurrences of last spring frost, and with longest duration of frost period. On the other hand, Kuşadası and Söke have opposite characteristics in comparison to Nazilli an Sultanhisar. Aydın lies in between them. The results are expected to provide information to schedule the agricultural activities, and to avoid detrimental impacts of frost events.