Mount Carmel College, Bangalore

About: Mount Carmel College, Bangalore is a based out in . It is known for research contribution in the topics: Nurse education & Population. The organization has 162 authors who have published 154 publications receiving 1598 citations.

Biofertilizers: a potential approach for sustainable agriculture development

Abstract: The worldwide increase in human population raises a big threat to the food security of each people as the land for agriculture is limited and even getting reduced with time. Therefore, it is essential that agricultural productivity should be enhanced significantly within the next few decades to meet the large demand of food by emerging population. Not to mention, too much dependence on chemical fertilizers for more crop productions inevitably damages both environmental ecology and human health with great severity. Exploitation of microbes as biofertilizers is considered to some extent an alternative to chemical fertilizers in agricultural sector due to their extensive potentiality in enhancing crop production and food safety. It has been observed that some microorganisms including plant growth promoting bacteria, fungi, Cyanobacteria, etc. have showed biofertilizer-like activities in the agricultural sector. Extensive works on biofertilizers have revealed their capability of providing required nutrients to the crop in sufficient amounts that resulted in the enhancement of crop yield. The present review elucidates various mechanisms that have been exerted by biofertilizers in order to promote plant growth and also provides protection against different plant pathogens. The aim of this review is to discuss the important roles and applications of biofertilizers in different sectors including agriculture, bioremediation, and ecology.

Biofilm, pathogenesis and prevention—a journey to break the wall: a review

Abstract: Biofilms contain group(s) of microorganisms that are found to be associated with the biotic and abiotic surfaces. Biofilms contain either homogenous or heterogeneous populations of bacteria which remain in the matrix made up of extracellular polymeric substances secreted by constituent population of the biofilm. Biofilms can be either single or multilayered. Biofilms are an increasing issue of concern that is gaining importance with each passing day. Due to the ubiquitous nature of biofilms, it is difficult to eradicate them. It has been seen that many infectious diseases harbour biofilms of bacterial pathogens as the reservoir of persisting infections which can prove fatal at times. The presence of biofilms can be seen in diseases like endocarditis, cystic fibrosis, periodontitis, rhinosinusitis and osteomyelitis. The presence of biofilms has been mostly seen in medical implants and urinary catheters. Various signalling events including two-component signalling, extra cytoplasmic function and quorum sensing are involved in the formation of biofilms. The presence of an extracellular polymeric matrix in biofilms makes it difficult for the antimicrobials to act on them and make the bacteria tolerant to antibiotics and other drugs. The aim of this review was to discuss about the basic formation of a biofilm, various signalling cascades involved in biofilm formation, possible mechanisms of drug resistance in biofilms and recent therapeutic approaches involved in successful eradication of biofilms.

Breadth of the Socio-Ecological Model.

Abstract: The socio-ecological model (SEM) was first introduced as a conceptual model for understanding human development by Urie Bronfenbrenner in the1970s and later formalized as a theory in the 1980s.1–3 ...

Speech based human emotion recognition using MFCC

Abstract: Speech is a complex signal consisting of various information, such as information about the message to be communicated, speaker, language, region, emotions etc. Speech Processing is one of the important branches of digital signal processing and finds applications in Human computer interfaces, Telecommunication, Assistive technologies, Audio mining, Security and so on. Speech emotion recognition is important to have a natural interaction between human being and machine. In speech emotion recognition, emotional state of a speaker is extracted from his or her speech. The acoustic characteristic of the speech signal is Feature. Feature extraction is the process that extracts a small amount of data from the speech signal that can later be used to represent each speaker. Many feature extraction methods are available and Mel Frequency Cepstral Coefficient (MFCC) is the commonly used method. In this paper, speaker emotions are recognized using the data extracted from the speaker voice signal. Mel Frequency Cepstral Coefficient (MFCC) technique is used to recognize emotion of a speaker from their voice. The designed system was validated for Happy, sad and anger emotions and the efficiency was found to be about 80%.

A systematic review of the effectiveness of remediation interventions to improve NCLEX-RN pass rates.

Abstract: First-time NCLEX-RN pass rates are important measures of educational quality in prelicensure nursing education programs. Licensure pass rate problems has been the subject of countless nursing education articles and studies over the past several decades. To improve NCLEX-RN pass rates, remediation is often prescribed for students who have academic performance deficits. This article presents a systematic review of studies on remediation interventions and their effects on NCLEX-RN pass rates. Most studies of remediation and its effects on licensure pass rates are descriptive program evaluation reports. The overall quality of studies included in this review is uneven but generally low. Nursing education researchers should focus on conducting higher quality intervention studies in which the fidelity of remediation interventions can be examined. Viewing licensure pass rates from a process improvement perspective and accounting for pass rate variations could also change the nature of scholarship on this topic.