Effect of Drip Irrigation and Polythene Mulch on the Fruit Yield and Quality Parameters of Mango (Mangifera indica L.)

A field experiment was carried out at Horticultural Research Farm, Precision Farming Development Centre, Department of Horticulture, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh during the year 2009- 2010 in Randomized Block Design with three replications and ten treatment combinations ( 100%, 80%, 60%, and 40% water through drip irrigation system with and without polythene mulch + Basin irrigation with and without mulch). Fruits characters, yield and yield attributing parameter were higher under drip irrigation with 0.6 V volume of water + polythene mulch (T8) and the same characters were lowest under control (Basin irrigation with V- volume of water). Application of black plastic mulch with drip irrigation system can conserve moisture, check the growth of weeds and improve the fruit yield and quality. Water use efficiency was higher under drip irrigation with 0.6 V volume of water + polythene mulch and low under basin irrigation with V volume of water. The net income and benefit cost ratio was also higher under the treatment T8 as compared to surface method of irrigation

Deciphering conversational complexity around a diabetic patient in a web based forum

Web based conversational forums have gained momentum as an aid to clinical decision making. This paper, written in an empirical explanatory manner, attempts to understand the flow of information and the process of sense-making in one such forum (Tabula-rasa) through considering a prototype discussion among participants

Innovative investigation of zinc oxide nanoparticles used in dentistry

Dental caries is a major lifestyle concern as dental components affect the face of an individual. The issue of tooth decay occurs in every age group throughout the globe. Researchers are probing incipient implements and techniques to develop filling agents for decayed teeth. Zinc oxide (ZnO) powder is utilized mostly as a filling agent. Nanotechnology enhanced the efficiency of compounds of metal oxides utilized for dental caries. The present study aims to investigate the properties of ZnO nanoparticles (NPs) synthesized chemically (using ZnCl2 and NaOH) as well as biologically (using aqueous leaf extract of Murraya paniculata). The XRD patterns confirm that ZnO NPs have a hexagonal crystalline structure with particle sizes of 47 nm and 55 nm for chemically and biologically synthesized NPs, respectively. The FE-SEM data confirm the nanorod and spherical/cubical shape morphologies for the chemically and biologically synthesized ZnO NPs, respectively. FTIR data show the peaks between 4000 and 450 cm(-1) of the functional groups of -OH, C-O, -C-H-, and Zn-O bonds. The UV-Vis absorption study indicates a peak around 370 nm and a hump around 360 nm corresponding to the chemically and biologically synthesized ZnO NPs, respectively. An antibacterial bioassay was performed and compared with commercially available ZnO bulk powder against tooth decaying pathogens, viz., Streptococcus mutans, Staphylococcus aureus, E. coli, and Lactobacillus fermentum, and found that both ZnO NPs had results closer to those of the standard drug (rifampicin). Thus, the synthesized ZnO NPs may be utilized as nano-drugs for the application of tooth decaying filling agents. Even biologically synthesized ZnO NPs may be considered more environmentally friendly and less toxic to human health concerns.UGC, New DelhiUniversity Grants Commission, UGC; University of Lucknow, L

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original training context, and systems will instead need to adapt to novel distributions and tasks while deployed. This critical gap may be addressed through the development of "Lifelong Learning" systems that are capable of 1) Continuous Learning, 2) Transfer and Adaptation, and 3) Scalability. Unfortunately, efforts to improve these capabilities are typically treated as distinct areas of research that are assessed independently, without regard to the impact of each separate capability on other aspects of the system. We instead propose a holistic approach, using a suite of metrics and an evaluation framework to assess Lifelong Learning in a principled way that is agnostic to specific domains or system techniques. Through five case studies, we show that this suite of metrics can inform the development of varied and complex Lifelong Learning systems. We highlight how the proposed suite of metrics quantifies performance trade-offs present during Lifelong Learning system development - both the widely discussed Stability-Plasticity dilemma and the newly proposed relationship between Sample Efficient and Robust Learning. Further, we make recommendations for the formulation and use of metrics to guide the continuing development of Lifelong Learning systems and assess their progress in the future.Comment: To appear in Neural Network