216 research outputs found
Radio Heronian Mean k-Graceful Labeling on Degree Splitting of Graphs
No full textA mapping g:V\left(G\right)\rightarrow{k,k+1,\ldots,k+N-1} is a radio heronian mean k-labeling such that if for any two distinct vertices s and t of G, d\left(s,t\right)+\left\lceil\frac{g\left(s\right)+g\left(t\right)+\sqrt{g\left(s\right)g\left(t\right)}}{3}\right\rceil\geq1+D,for every s,t\in\ V(G), where D is the diameter of G. The radio heronian mean k-number of g, {rrhmn}_k(g), is the maximum number assigned to any vertex of G. The radio heronian mean number of G, {rhmn}_k(g), is the minimum value of {rhmn}_k(g) taken overall radio heronian mean labelings g of G. If {rhmn}_k(g)=\left|V\left(G\right)\right|+k-1, we call such graphs as radio heronian mean k-graceful graphs. In this paper, we investigate the radio heronian mean k-graceful labeling on degree splitting of graphs such as comb graph P_n\bigodot K_1, rooted tree graph {RT}_{n,n} hurdle graph {Hd}_n and twig graph\ {TW}_n.A mapping is a radio heronian mean k-labeling such that if for any two distinct vertices and of , ,for every V(G), where is the diameter of . The radio heronian mean k-number of g, , is the maximum number assigned to any vertex of . The radio heronian mean number of , , is the minimum value of taken overall radio heronian mean labelings of . If , we call such graphs as radio heronian mean k-graceful graphs. In this paper, we investigate the radio heronian mean k-graceful labeling on degree splitting of graphs such as comb graph , rooted tree graph hurdle graph and twig graph
Synthesis of alkaline protease by catabolite repression-resistant Thermoactinomyces sp. E79 mutant
No full textThe production of alkaline protease from Thermoactinomyces sp. E79 was repressed by 0.2% (w/v) glucose in the medium. Catabolite repression-resistant mutant M1 was obtained by combined treatment of UV light and N-methyl-N'-nitro-N-nitrosoguanidine. The glucose uptake studies accomplished by [14C]glucose showed that the mutant has lost its ability for glucose uptake. The protease production by mutant M1 in the enzyme production medium was 62 U/mg, which was twice that of the wild-type strain.open
Statistical optimization of seed and induction conditions to enhance phytase production by recombinant Escherichia coli
No full textAn efficient fermentation process for the production of phytase was developed by statistical optimization from recombinant Escherichia coli BL21. The seed age and inoculum level highly influenced the expression of phytase gene by lactose induction. The optimum of 3.15-h seed culture age instead of an overnight culture and 4.8% (v/v) seed culture yielded high concentrations of cells at short intervals of time for efficient induction. Induction at a lactose concentration of 7.28 mM and at a cell optical density of 0.55 at 550 nm (equivalent to 0.23 g/l dry cell weight) was found to be most suitable in this system. The time of induction and lactose concentration significantly influenced phytase production. The optimized conditions were used to achieve 100% increase in phytase production (174 U/l · h) compared to production before optimizing the conditions.open
Split domsaturation and Some New Parameters
No full textLet G be any connected graph. The split domination number γs (G) of G is the minimum cardinality of a split dominating set. The split domsaturation number
dss (G) of a graph G is the least positive integer k such that every vertex of G lies in a split dominating set of cardinality k. A split dominating set S ⊆ V (G) is said to be connected split dominating set if < S > is connected. The minimum cardinality of all connected split dominating sets of G is called the connected split omination number of G and is denoted by γcs (G). The uniform split domination number γus (G) of a graph G is the least positive integer k, such that every k-element split subset S of V is a dominating set in G. In this paper, we investigate several properties of these dominating sets
Marketing of Library Services and Products through Social Media: An Evaluation
No full textSocial media has a great impact on information promotional activities by bringing tremendous changes in the field of marketing. Social networking applications help the users to possess interconnections among the community members and remix the library services and products to brand them visible in a broader way. This paper gives an overview of the concept of marketing of library services and products in the pretext of handiness of social networking technologies (SNT). The paper also discusses various social networking sites (SNS) such as Facebook, Twitter, Delicious, Youtube, Flickr etc. An outline of how the social media may successfully be applied to enhance the effectiveness in marketing library services and products is observed. Relative merits and challenges with adoption of SNS are also examined
A lipidomic approach to identify cold-induced changes in Arabidopsis membrane lipid composition
No full textLipidomic analysis using electrospray ionization triple quadrupole mass spectrometry can be employed to monitor lipid changes that occur during cold and freezing stress of plants. Here we describe the analysis of Arabidopsis thaliana polar glycerolipids with normal and oxidized acyl chains, sampled during cold and freezing treatments. Mass spectral data are processed using the online capabilities of LipidomeDB Data Calculation Environment
On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms
No full textThis paper compares practical machine learning-based algorithms of detection and recognition such as Haar cascade classifier and local binary pattern histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computational time.</p
Integration of GIS and GPS as a Decision Support Tool in a GAMS Based Network Level Pavement Maintenance Optimisation System
No full textThe transportation system is crucial for a country's growth, with road transport connecting villages and cities, especially in developing countries like India. Neglecting road maintenance leads to severe pavement impairment and reconstruction expenses, affecting the economy. Government challenges include deteriorating urban roads and inadequate funding, resulting in subjective, ad-hoc maintenance decisions. An effective Pavement Management System is essential for optimal maintenance and rehabilitation. This study assesses urban road sections, clusters them, develops performance prediction models, and identifies maintenance treatments to create a decision support system. Distress data collected over six years, pre and post-monsoon, was used to calculate Pavement Condition Indices. Sections were grouped using the K-means algorithm for better modeling, and a deterministic deterioration model estimated pavement conditions over time. Optimized maintenance treatments for five years were determined using Generic Algebraic Modeling System software. A user-friendly GIS interface graphically represents the road network, incorporating collected data and optimized treatments.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author
- …
