Background: Cowpea (Vigna unguiculata L.) an important and commonly grown kharif pulse crop in India for vegetable, grain, forage and green manuring. Considering the adverse effects of chemical fertilizers, bio-inoculants should be encouraged as natural nutrient source. Methods: Three indigenous bio-inoculants viz., Rhizobium sp., Bacillus megaterium and Glomus mosseae were evaluated in a field experiment which was conducted during kharif season 2020 to study the influence of bioinoculants on growth and yield of cowpea. The experiment was laid out in randomized block design (RCBD) with ten treatments replicated thrice. Result: The application of microbial consortia significantly influenced the number of pods bearing branches, number of nodules, fresh weight of nodules, chlorophyll content, plant nitrogen and phosphorus content and microbial activities in the cowpea rhizosphere. The present study concluded that combined application of bio-inoculants (Rhizobium, PSB, AM fungi) can save 25 per cent of recommended dose of fertilizer by sustaining the crop yield and improving the soil health.

Eating disorders are central reason of physical and psycho-social morbidity. Several factors have been identified as being associated with the prevalence and progression of eating disorders in humans. Scientific investigation was carried out to assess the usage of terms in manuscript titles of nearly 900 published articles followed by network analysis and network centralities using R programming. The tm package, term document matrix function was utilized to create a term document matrix (TDM) from the corpus. A binary word matrix comprising 17 terms was created based on higher probability of occurring a term in a column. An agglomerative hierarchical clustering technique using ward clustering algorithm was presented. A data frame from the TDM was created to store data and used to plot word cloud based on word frequencies. An undirected network graph was plotted based on terms that appeared in the term matrix. Centralization measures such as Degree centrality, Closeness, Eigenvector and betweenness Centrality were reported.

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Eating disorders are an important cause of physical and psychosocial morbidity in adolescent girls and young adult women [1]. Eating disorders (EDs) are classified into three main types, anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder. Other rare disorders include, Purging disorder (purging without binge eating) and Night eating syndrome (excessive night time food consumption), Avoidant/Restrictive Food Intake Disorder, Rumination Disorder etc [2]. Eating disorders and certain associated with genetic predisposition and traits. There is a clear and possibly substantial genetic contribution to both anorexia nervosa and bulimia nervosa. Factors that contribute EDs include several risk factors including biological, psychological, social and interpersonal factors.Network analysis-the study of molecular interactions equates with the mathematical field of graph theory, in which the assembly of pair wise connections (edges) between discrete objects (nodes) coalesces to form a network, or graph [3].