The promoter region of Acacia nilotica ALDH7 gene consists of 1233 bp and it belongs to linear DNA molecular class. A. nilotica consist a universal feature to response moisture stress and nutrient limitation. In A. nilotica ALDH7 gene promoter sequence, the nucleotide motifs were involved in respond to various stressful conditions, but which regulatory elements in ALDH7 gene respond positively under stressful conditions unknown to till date. In silico approaches were used to estimate the nucleotide motifs and its response to certain stressful condition and transcription activation located at ALDH7 gene promoter region. The result reveals that, ALDH7 gene promoter region includes six unique signature motifs such as ‘ACGTG’ is a high salinity and induction of dehydration stress-responsive putative cis-regulatory motif, the ‘TGAC’ is the biotic and abiotic stress and transcription activation responsive motif, the ‘CACGTG’ is the defense responsive motif, the ‘AAAG’ is Adenosine rich motif involved in carbon metabolism, the ‘GGATA & TAACAA’ motifs responsible for transcription activation. Thus, our analysis suggests that ALDH7 gene promoter region play an important role to healthy survival of A. nilotica under stressful conditions and provides medicinal and infrastructural products to fulfil the requirements of human being.

Animal communication is ubiquitous and a conspicuous aspect of the behavior of all the animals. Acoustic communication among animals utilizes sounds to signal information between the insects. The present study was carried out to identify the sexual receptiveness of the females towards the males. The advertisement calls of Cicadas and katydids belonging to orders Hemiptera and Orthoptera were recorded using TASCAM DR-100MK Linear PCM recorder connected to AKG D1000i directional microphones held approximately 15-30 cm away from the calling males. Sound levels of the calls were taken using TES sound level meter 1350A. Humidity and temperature were noted using digital hygrometer and thermometer respectively. Katydids produce their calling songs by rubbing their forewings together. This causes the hardened plectrum on the posterior margin of one wing to strike against the teeth of a stridulatory file on the other wing, thus producing sound. The sound producing organs in cicadas are the drum like tymbals. Though it seems like the calls are continues without any call intervals but there are minute call intervals that can be heard with carful observations. Each call consists of several pulse groups and is from 186-274 with an average of 223.5±39.534pulse groups/sec. At the level of biological species, acoustic studies have been widely and effectively used to establish the status of related populations of a wide variety of insects. In addition bioacoustics plays a major role in sexual behavior in many insects that help in mate searching, recognition and courtship.

A study was conducted at the Horticulture farm of Bangladesh Agricultural University, Mymensingh to evaluate the effect of five levels of applied potassium on the growth and yield of carrot. The experiment was laid out in a RCB (randomized complete block) design with three replications with five treatments viz. 0, 30, 60, 90, 120 kg Potassium per hectare. Root yield increased progressively and significantly with the increased application of potassium. Application of potassium 120 kg/ha increased the Leaf number per plant (11.93), root length (16.11 cm), root diameter (5.04 cm), fresh weight (184.8 g) and yield (49.29 t/ha). High dose of potassium also increased cracked and branched root which reduced the marketable quality of yield.

The fuzzy logic and fuzzy numbers have been applied in many fields such as operation research, differential equations, fuzzy system reliability, control theory and management sciences etc. The fuzzy logic and fuzzy numbers are widely used in engineering applications also. In this paper we first describe Triangular Intuitionistic Fuzzy Number (TIFN) with arithmetic operations and solve a linear programming problem by Triangular Intuitionistic Fuzzy Number (TIFN) using simplex algorithm.

Sequential pattern mining is a technique which efficiently determines the frequent patterns from small datasets. The traditional sequential pattern mining algorithms can mine short-term sequences efficiently, but mining long sequence patterns are in efficient for these algorithms. The traditional mining algorithms use candidate generation method which leads to more search space and greater running time. The biological DNA sequences have long sequences with small alphabets. These biological data can be mined for finding the co-occurring biological sequence. These co-occurring sequences are important for biological data analysis and data mining. Closed sequential pattern mining is used for mining long sequences. The mined patterns have less number of closed sequences. This paper proposes an efficient Closed Sequential Pattern Mining (CSPAM) algorithm for efficiently mining closed sequential patterns. The CSPAM algorithm mines closed patterns without candidate generation. This algorithm uses two pruning methods namely, BackScan pruning, and frequent occurrence check methods. The former method prunes the search space and latter detects the closed sequential pattern in early run time. The proposed algorithm is compared with PrefixSpan algorithm, better scalability and interpretability is achieved for proposed algorithm. The experimental results are based on sample DNA datasets which outperform the other algorithms in efficiency, memory and running time.