Rice is one of the most important crops, providing staple food for about half population of the world. Drought stress affects plant growth and development seriously. Therefore, morphological and physiological responses of rice at early tillering stage for drought tolerance mechanism(s) should be determined during drought stress. A pot experiment was carried out with six rice genotypes during two seasons at Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh. Drought stress (control and 40% FC) was imposed on genotypes V1, V2, V3, V4, V5 And V6 at early tillering stage and discontinued when the specific stage was over. The experiment was laid out in a Complete Randomized Design with three replications. Data on morpho-physiological attributes were recorded at early tillering stage. Drought stress affected morphological traits like plant height, number of tiller hill-1, number of leaves plant-1, leaf dry weight (g), stem dry weight (g), root dry weight (g) and physiological attributes like leaf water potential, relative water content, photosynthetic rate, chlorophyll content, transpiration rate, stomatal conductance and intercellular CO2 concentration. These results indicated that reduction of morpho-physiology in rice were affected by drought (40 % FC) and characteristics of genotypes. Dry matter partitioning and physiological attributes of genotypes like photosynthesis efficiency can be used as a useful indicator for drought tolerant potential in rice breeding for water-limited environments.
This paper reports the problems and difficulties faced by computing students in learning and teaching the core computing subject Data Structure and Algorithms via traditional teaching practice. A pilot study has been carried out on the 213 students of CS, IT and CSE departments studying in various universities of Nawabshah to recognize the learning and teaching issues of DS&A as the course demands strong mathematical and programming background. The research study verified the student’s course understanding approach through a five-point Likert Scale. This research study was examined via the statistical analysis software NCSS. DS&A learning and teaching issues and problems were analyzed by descriptive analysis (i.e. mean, mode, median, IQR and standard deviation tests) and inferential analysis (i.e. Balanced Design Analysis of Variance Friedman’s Test). The study emphases the major problems of learning and understanding the linear and non-linear data structures like algorithm formulation and manipulation, time and space complexities regarding various algorithmic approaches. The reliability analysis has been reported by performing Cronbach’s Alpha test and achieved promising reliability coefficient results of about 87%. Our findings show that the results are statistically significant that means students are facing different problems of traditional learning and the reported problems need to be solved properly using the latest mobile technologies.
Purpose: The primary purpose of the study to investigate the effects of remittance inflows and financial innovation through the channel of financial development on the stock price index in Bangladesh for the 1990-2017 period. In order to unleash the prospective effects in the empirical model,\nMethodology: We applied a Non-linear framework initiated by Shin et al. (2014) commonly known as Nonlinear ARDL. Further, we applied the non-causticity test proposed by Toda and Yamamoto (1995) for establishing directional causality.\nFindings: Study findings divulged the existence of nonlinear relationships between selected key macro-economic variables, particularly nonlinear effects running from remittance and financial innovation to composite stock price index both in the long run and short run. In accordance with Causality test results, study findings disclosed unidirectional causality running from remittance inflows to the stock price index for both studied markets and financial innovation to the stock price index of Chittagong stock exchange. On the other hand, bidirectional causality established between financial innovation and stock price index representing the Dhaka stock exchange.\nOriginality: The novelty of this study relied on the following key facts. First, in this study for the first time remittance and financial innovation included in the empirical model of examining their effect on stock price index especially in Bangladesh. Second, the effects running from financial innovation and remittance inflows through the financial channel to stock price index is also investigated by measuring the interaction effects that are between financial innovation and financial development and the interaction between remittance inflows and financial development.
A new search method for music signals, based on CNN (convolutional neural network) and crafted features using time-frequency images is presented, that provides extremely high classification rate and fast searches. This method, working on time-frequency images instead of music signals, classifies the music genres using model trained from CNN technique, extracts image features for the classified music images, and evaluates hashes for music matching. We take advantage of the characteristics of texture in a time-frequency image and classification capability of CNN model to develop matching procedures such that fast music searches are obtained. Experimental results demonstrated promising performance of the proposed method.