This short note is of interest for depleted uranium cleaning and supraconductivity studies. It presents ways to cleanse depleted uranium efficiently.
Human lung cancer is the most prevalent cancer worldwide that consisting of two main subtypes: the non-small cell lung cancer (NSCLC) and the small cell lung cancer (SCLC). NSCLC comprises over 80% of lung cancer and the treatment of NSCLC is mostly guided by tumor stage, although distinctive molecular characteristics between two major subtypes of NSCLC, i.e., lung adenocarcinoma (LUAD) and squamous cell lung carcinoma (LUSC), have been increasingly identified. In this study, we integrated the gene expression data and methylation data to investigate the genetic differences between LUAD and LUSC. We further applied the Boruta package to select key features from LUAD and LUSC tumor samples to build predictive models of tumor stage. We finally obtained 6 key gene expression features and 4 key methylation features that can be reliably used in prediction of LUAD and LUSC stage.
Inadequacy of rock mechanics chamber test devices and test systems that cannot accurately simulate gradient static stresses on specimens, this paper presented an innovative testing technique, which relates to the stress wave propagation of rock subjected gradient static stress. The method involves modification of a split Hopkinson pressure bar, such that the test specimen is subjected to gradient static stress and axial impact loading. The device has the features of simple loading and multiple static stress gradients, which verifies the feasibility of stress wave propagation test of red sandstone specimens under linear gradient static stress and conducts stress wave propagation test of red sandstone specimens under linear gradient static stress. Tests on red sandstone specimens with different static stress gradients show that the stress wave propagation of the specimens under gradient static stress is different with their corresponding homogeneous static stress state. The attenuation coefficients of stress waves are different under different conditions, and loading gradient static stress can accelerate the attenuation process. The results of this study will be useful for the analysis of stress wave propagation in deep engineering blasting and the stability analysis of adjacent structures.
Challenges Facing Teachers Implementing Continuous Assessment: The case of Tililli General and Preparatory School
The study investigated the challenges facing teachers’ implementing continuous assessment in the Tililli general and preparatory school with the emphasis on how these challenges influence effective teaching and learning and how a teacher deals with these challenges on a day to- day basis. For this study, a qualitative research method was selected. This method seeks to understand the diversified underlying challenges, understanding and experiences of the teacher in this study. In order to achieve this method, data collection instruments such as the questionnaire would be used to obtain reliable data, a pilot test and follow-up interviews were utilized. All teachers age, gender, name of subject and grade who teaches, teaching experience, professional qualification or whether they were permanent or temporary, local or foreign was included that participated in filled questionnaire and interview. All teachers recommended that the education should support teachers in implementing the continuous assessment by motivating them. The department should outsource trainers to train teachers.
Determining the location of River Dam Group based on set cover Model: A case study of Zambezi River Basin
Taking the Zambezi River Basin as a typical case, this paper studied the location problem of dam group. Based on the topographical and elevation maps of the Zambezi River Basin, we evaluated each region by five indicators (Water head difference elevation, Geological environment, Climatic environment, Population distribution and Biodiversity), and selected the 22 candidate dam sites. Meanwhile, the relative feasibility index of dam construction is calculated by the entropy weight-grey correlation analysis. On this basis, combined with the water management capacity of the dam, a set coverage model of dam selection is established, and the neighborhood adaptive particle swarm optimization algorithm (NAPSO) is used to solve the 12 most suitable dam sites. Comparing with the water management capacity of the original Kariba Dam, the new dams’ water storage and flood control capacity, hydroelectric power generation capacity, domestic water supply capacity and other water supply capacity have been increased by 235.92%, 250.62%, 189.66% and 223.61% respectively. Our study can provide some guidance for the site selection project of river dam group.
This paper analyzes the soil plugging effect of the open pipe pile during the pile sinking process. The soil in the pipe pile is regarded as a continuous and uninterrupted multiple units, and the force analysis is carried out in the vertical direction, and the vertical balance equation of the soil in the pile is obtained. By establishing an equation, the expression of the plug height of the pipe pile during the pile sinking process is obtained. Comparing the theoretical calculation results with the actual project, it is concluded that the theoretical calculation results can reflect the overall change in the height of the soil plug. Therefore, the pile plug height obtained by calculation has certain guiding significance for the project.
The aim of the study assesses the role of Acacia Decurrens tree on Farmers Livelihood in the Banja Woreda. To this purpose, the study adopted descriptive survey design. The study focused on the three kebeles such as Zek na Gumerta, Bidana Jegola and kesa Chewsa in the Banaja district of the Awi Zone, Amhara regional state. This design would employ multiple sources of data such as distribution of questionnaires and conducting interviews with the concerned parties. The target population for this study was 25 rural kebeles, from those kebeles I selected three kebeles according to the homogeneity characteristics in plantation of Acacia decurrens tree. To determine the required sample size, the selected kebeles has 678 households’ farmers, 105 sample farmers are represented. Then, 35 sample farmers from each kebeles are selected by random sampling method. One-sample t-test analysis was made using Statistical Package for Social Sciences (SPSS) software version 20 to show the result of study. The result discussed by the use of the descriptive and econometric analysis.
According to the vibration of cut blasting, the number of holes and the location of holes are reasonably designed by using finite element software LS-DYNA. The rectangular holes and hollow holes in straight cut are simulated respectively. Of the hole in the straight-cut undercut blasting vibration law. The analysis shows that the larger the diameter of the hole is, the better the vibration reduction is. The more the number of holes is, the more obvious the damping effect is. The best blasting effect of the large diameter hollow hole and the large diameter rectangular hole is 0.93cm/s Reduce the blasting vibration speed, buffered the blasting time; get both a good blasting effect and effective rapid damping effect.
In order to improve the feasibility and accuracy of the roadbed settlement prediction model, the factor analysis method is combined with the BP neural network method, and an improved BP neural network roadbed settlement prediction model is proposed. Select example data to test the improved BP neural network roadbed settlement prediction model. The test results: The relative average error of the 10 sets of training samples’ predicted and actual roadbed settlements was 4.287%, and the roads of five predicted samples The relative error of subgrade settlement is 1.79%, 1.93%, 6.62%, 7.19%, 4.05%, all less than 10%, which proves that the improved BP neural network prediction model has good prediction accuracy.
In order to ensure the safe navigation of ships and reduce the occurrence of marine accidents, through the analysis of ship historical navigation safety accident data and related accident literature research, taking into account various aspects such as marine meteorology, cargo loading, ship status and crew quality. Construct a ship navigation safety evaluation body. The BP neural network algorithm is used to design the ship navigation safety risk network structure. The sea damage data is used as the network input sample to train the BP neural network and data fitting. At the same time, the genetic algorithm is introduced to find the individual corresponding to the optimal fitness, and the weight and threshold of the network are further optimized. The purpose is to improve the accuracy of data fitting. The optimized BP neural network evaluation results show that there are many indicators affecting the safety of the ship’s navigation, and the relationship between the indicators is complicated. The optimized BP neural network utilizes the characteristics of online adaptive learning, which eliminates the construction of complex relationships among various indicators within the structure, and solves the difficult problems in ship risk assessment to a certain extent.