A CRITICAL REVIEW ON BADARA (ZIZYPHUS JUJUBA LINN.)

Badara is a native fruit of India, found wild and cultivated. From top to root, Badara is useful as food, fodder, nutrient and medicine purpose. Zizyphus jujuba Linn. is a small subdeciduous tree with dense spreading crown, commonly 0.6 meters high. Bark blackish to grey or brown, rough, regularly and deeply furrowed, Leaves 3-6. 3 by 2.5-5 cm., oblong or ovate, usually minutely serulate or apex distinctly doted, obtuse, base oblique and 3-nerved; Flowers 3.8-5 rnm. diam., greenish, in dense axillary tomentose cymes, Drupe L.2-2.5 cm. diam., globose, first yellow then orange and finally reddish brown, containing a single stone surrounded by fleshy pulp. Its flowering and fruiting season is November – December months. Badara having tremendous medicinal properties and having metabolites such as alkaloids, flavanoids, saponin etc. Badara fruit is a good source of vit- C and sugars and contain appreciable amount of mineral constitutes such as calcium, phosphorus, iron, thiamine, carotene etc. Badara root, seeds, fruit, bark, leaves, flowers, all are having medicinal properties. Inspite of having medicinal properties, it is not considered as an important medicinal plant for use in main stream therapeutics. This article provides review of plant –Badara as a whole.

A Hybrid Metaheuristics based technique for Mutation Based Disease Classification

Due to recent advancements in computational biology, DNA microarray technology has evolved as a useful tool in the detection of mutation among various complex diseases like cancer. The availability of thousands of microarray datasets makes this field an active area of research. Early cancer detection can reduce the mortality rate and the treatment cost. Cancer classification is a process to provide a detailed overview of the disease microenvironment for better diagnosis. However, the gene microarray datasets suffer from a curse of dimensionality problems also the classification models are prone to be overfitted due to small sample size and large feature space. To address these issues, the authors have proposed an Improved Binary Competitive Swarm Optimization Whale Optimization Algorithm (IBCSOWOA) for cancer classification, in which IBCSO has been employed to reduce the informative gene subset originated from using minimum redundancy maximum relevance (mRMR) as filter method. The IBCSOWOA technique has been tested on an artificial neural network (ANN) model and the whale optimization algorithm (WOA) is used for parameter tuning of the model. The performance of the proposed IBCSOWOA is tested on six different mutation-based microarray datasets and compared with existing disease prediction methods. The experimental results indicate the superiority of the proposed technique over the existing nature-inspired methods in terms of optimal feature subset, classification accuracy, and convergence rate. The proposed technique has illustrated above 98% accuracy in all six datasets with the highest accuracy of 99.45% in the Lung cancer dataset

Comparative Analysis of Procedures and Solutions to Improve Energy Efficiency of Massive MIMO

The blustery growth of high data rate applications leadsto more energy consumption in wireless networks to satisfy servicequality.Therefore, energy-efficient communications have been paidmore attention to limited energy resources and environmentallyfriendly transmission functioning. Countless publications arepresent in this domain which focuses on intensifying networkenergy efficiency for uplink-downlink transmission.It is done eitherby using linear precoding schemes, by amending the number ofantennas per BS, by power control problem formulation, antennaselection schemes, level of hardware impairments, and byconsidering cell-free (CF) Massive-MIMO.After reviewing thesetechniques, still there are many barriers to implement thempractically. The strategies mentioned in this review show theperformance of EE under the schemes as raised above. The chiefcontribution of this work is the comparative study of how MassiveMIMO EE performs under the background of different methodsand architectures and the solutions to few problem formulationsthat affect the EE of network systems. This study will help choosethe best criteria to improve EE of Massive MIMO whileformulating a newer edition of testing stand-ards.This surveyprovides the base for interested readers in energy efficient MassiveMIMO

Study of EGFR mutations in head and neck squamous cell carcinomas

Introduction: Squamous carcinoma is the commonest malignancy of the head and neck region. It is associated with high morbidity and mortality. Epidermal growth factor receptor (EGFR) regulates downstream signaling pathways through its tyrosine kinase (TK) domains that play a role in cell proliferation and survival. EGFR mutations have been found to occur between exons 18 to 21 on chromosome 7. Limited studies are available on EGFR-TK mutations in the head and neck squamous cell carcinoma (HNSCC) globally. This study explores EGFR mutations in 30 HNSCC cases presenting to a tertiary care hospital over a period of two years. Material and Methods: Fresh tumor tissue was collected from the resection specimens of cases of primary HNSCC. Cases with pre-operative therapy were not included. Parameters in the form of patients’ age, gender, smoking/tobacco intake, site of the lesion were recorded. Tumor parameters after histopathological examination were recorded in the form of TNM stage, tumor grade. DNA was extracted from fresh tissue of all the cases. EGFR Mutation Analysis Kit assay was used to detect mutations of the EGFR gene. PCR was run and results were analyzed. Results: EGFR Mutations were found in 6.7%of the patients. There was no significant association of the EGFR Mutation with the studied parameters. Conclusion: EGFR mutations are present in a subset of patients of HNSCC. Patients having these mutations may benefit from targeted therapy with tyrosine kinase inhibitors

STUDY ON THE IMPACT LEVEL OF ADOLESCENT'S ACADEMIC STRESS, BEHAVIOR & EMOTIONAL PROBLEMS ON THE QUALITY OF INTERPERSONAL RELATIONSHIPS

Abstract The quality of Interpersonal relationships(IR) of adolescents has been marked as one of the core factors associated with successful educational transitions, however, little is known about the reciprocal link between academic stress(AS) and behavioral emotional problems (BEP), with even less known about how these two constructs impact adolescents quality of IR. Study investigated the IR, AS, and BEP of adolescents. The data were collected from 120secondary school students(M- =50%,F=50%) (12-16age;7th-10th grade), 120Parents,(F=66.67%, M=33.33) and 100 teachers (M=50%,F=50%) from 10 schools through a simple random sampling method. The Parents and Peer Attachment Inventory-Revised (Gullone & Robinson, 2005) was used to examining the IR with fathers, mothers and peers, and Adolescents’ Behavioral and Emotional Problem Scale (Dwivedi 2019) was used to assess BEP (teachers & parents’ perspectives). For examining AS, Scale for assessing academic stress ( Sinha, Sharma and Mahendra 2001) was used. Descriptive and inferential statistics were performed in SPSS version 23. The findings of the study suggest that there is a moderately positive correlation between adolescents AS and BEP (.494,p.005) of the participants