Track E Implementation Science, Health Systems and Economics

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138412/1/jia218443.pd

OPINION MINING AND SENTIMENT ANALYSIS TECHNIQUES: A RECENT SURVEY

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Sentiment analysis is widely applied to reviews and social media for a variety of applications, ranging from marketing to customer service. The difficulties of performing sentiment analysis in this domain can be overcome by leveraging on common-sense knowledge bases. Opinion Mining is an area of text classification which continuously gives its contribution in research field. The main objective of Opinion mining is Sentiment Classification i.e. to classify the opinion into positive or negative classes. Further, most of the researchers implement the opinion mining by separating out the adverb-adjective combination present in the statements or classifying the verbs of statements. Opinion mining is the field of study related to analyze opinions, sentiments, evaluations, attitudes, and emotions of users which they express on social media and other online resources. RSS uses a family of standard web feed formats to publish frequently updated information: blog entries, news headlines

A REVIEW PAPER ON PLANNING OF SOLID WASTE MANAGEMENT PLANT – A CASE STUDY FOR INDAPUR CITY

This paper gives the review about the existing solid waste management practices and present scenario of solid waste practices in Indapur city .The unplanned growth of the city has created the problem of waste generation . The per capita waste rate in India has increased from 0.53 kg per day in 2001 to 0.68 kg per day in 2013; this increased solid waste made a huge impact on environment as well as human life. So, there is requirement of proper solid waste management to reduce the effect on of environment and human life

A REVIEW PAPER ON PLANNING OF SOLID WASTE MANAGEMENT PLANT – A CASE STUDY FOR INDAPUR CITY

This paper state that existing solid waste management practices in Indapur municipal area of Pune district of Maharashtra state, India. Solid waste management is among the basic essential services provided by municipal authorities in the country to keep cities clean. Due to industrialization, rural to urban migration and high growth rate of population have induced rapid urbanisation in developing countries and obviously in India also. The haphazard urbanisation created acute problem of solid waste management. The per capita waste generation rate in India has increased from 0.44 kg per day in 2001 to 0.5 kg per day in 2011; such a steep increase in waste generation within a decade has severed the stress on all infrastructural, natural and budgetary resources. Pune is one of the developing city, it generates total quantity of waste is about 7 tons per day. So, there is need of the proper waste collection, transportation route for prevention of environment form the hazardous waste disposal. It may help in sustainable urban environment of Indapur city. For effective management, the municipal corporation of Indapur has divided the entire region into seventeen wards which are further divided into six health units to collect the solid waste. Two alternate disposal systems are considered. In first case the entire solid waste of the city of Indapur is dumped at one dumping site. In next case there are three sites proposed at different locations in the city Indapur cit

Genome-wide characterization and development of simple sequence repeat markers for genetic studies in pomegranate (Punica granatum L.)

The availability of the draft genome sequence of pomegranate cv. Dabenzi presents unprecedented opportunities for the development of largescale genomic resources, such as DNA markers for genotyping applications. In this study, we identify a new set of highly polymorphic simple sequence repeat (SSR) markers by targeting the SSR motif lengths of ≥ 24 bp. A total of 1,73,633 SSRs were identified in the 296-Mb pomegranate genome assembly, reflecting an average density of 527.97 SSRs/Mb. Of these, 43,853 SSRs belong to Class I category (> 20 bp). Concerning the abundance of repeat types in the current dataset, dinucleotide (NN) repeats (31.19%) were the dominant class among all SSRs identified in the genome, followed by tetranucleotide (NNNN: 20.5%) and trinucleotide repeats (NNN: 16.8%). The top two SSR motifs in NN category were AT/AT (64.90%) and AG/CT (28.51%), whereas AAT/ATT (34.66%) and AAG/CTT (28.91%) were the most abundant among NNN repeats. Primer pairs were designed for a total of 2856 Class I SSRs and 110 primers were then assayed initially on eight pomegranate genotypes for polymorphism survey. Polymorphic fragments were obtained for 82 SSRs (77.36%), of which a subset of 13 informative SSRs was further employed to investigate genetic diversity among 46 pomegranate genotypes. Approaches, such as population structure, cluster and PCA elucidated genetic relationships among 46 diverse pomegranate genotypes. In summary, here we developed the first set of genome-wide SSRs in pomegranate that will serve as a powerful genomic tool for future genetic studies. These SSRs have widespread applications in QTL mapping and marker-assisted selection for breeding

International Nosocomial Infection Control Consortiu (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module

We report the results of an International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2007-December 2012 in 503 intensive care units (ICUs) in Latin America, Asia, Africa, and Europe. During the 6-year study using the Centers for Disease Control and Prevention's (CDC) U.S. National Healthcare Safety Network (NHSN) definitions for device-associated health care–associated infection (DA-HAI), we collected prospective data from 605,310 patients hospitalized in the INICC's ICUs for an aggregate of 3,338,396 days. Although device utilization in the INICC's ICUs was similar to that reported from ICUs in the U.S. in the CDC's NHSN, rates of device-associated nosocomial infection were higher in the ICUs of the INICC hospitals: the pooled rate of central line–associated bloodstream infection in the INICC's ICUs, 4.9 per 1,000 central line days, is nearly 5-fold higher than the 0.9 per 1,000 central line days reported from comparable U.S. ICUs. The overall rate of ventilator-associated pneumonia was also higher (16.8 vs 1.1 per 1,000 ventilator days) as was the rate of catheter-associated urinary tract infection (5.5 vs 1.3 per 1,000 catheter days). Frequencies of resistance of Pseudomonas isolates to amikacin (42.8% vs 10%) and imipenem (42.4% vs 26.1%) and Klebsiella pneumoniae isolates to ceftazidime (71.2% vs 28.8%) and imipenem (19.6% vs 12.8%) were also higher in the INICC's ICUs compared with the ICUs of the CDC's NHSN