8 research outputs found
Facilitating programming comprehension for novice learners with multimedia approach: A preliminary investigation
No full textPotential of Coffee Waste in Enzyme Production under Solid-State Fermentation using Penicillium sp
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Feminism in Thamizhselvi's Ponnacharam Novel
No full textFeminism, which is the right half of the world, is being suppressed, ruled, and enslaved for various circumstances and reasons. Feminism is the awakening from this slavery, liberated, thinking about their lives and with the intention of progressing in life. The feminist tendency was being talked about very seriously in the 1990s. Having initially fought against the most horrendous oppression, it now exists at many levels of society. At the beginning of the novel, an eight-year-old girl named Ponnacharam is introduced by the author through a goat-grazing scene. Her birth is viewed as an unwanted birth. Ponnacharam was the eighth child born to the Saatthaiya and Kurunthayi couple. Being born as the eighth, the mother does not dare repent and give it up and puts the child at the feet of the Naganar temple priest. Starting from the fact that he gives the child the name 'Ponnacharam' and sends it away, the life in the sheep pen becomes the life of this child. Ponnacharam transforms herself into a person who loves that life very much. She is shown to have taken to shepherding goats at the age of seven and has been doing it with some kind of commitment. She, who drives herds while tending goats, does not sit in one place while she is in trouble. The fact that she liked the work of herding the sheep with her father, grazing the goat with her mother, boiling rice and water in the hamlet, keeping the sheep in the stable, and cleaning the dung of the sheep would reveal Ponnacharam's professional interest. Thus, the nature of the feminist characters in Tamilselvi's novels can be understood
CRITICAL REVIEW OF POTENTIAL FOR IMPLEMENTATION OF LEAN IN THE NIGERIAN BUILDING INDUSTRY
No full textABSTRACT The concept of Lean Construction has been observed to improve workflow reliability, planning and control, particularly in developed and emerging countries like USA, UK, Korea and Brazil. It has been a useful means of achieving project duration reduction and improved cost and quality performance. Predominantly, the Last Planner System, process mapping and other collaborative planning tools of lean construction were utilised in these projects and they accounted for the successes of these projects. However, within under developed and a few developing countries the situation is slightly more at variance. Using Nigeria as a case study for example, the general perception at the moment is that the building industry is mainly characterised by poor project definitions, incomplete project designs and waste generation resulting in uncompleted building projects or poorly completed ones. This paper commences with a review of how lean was applied and why it was successful in the countries identified by previous studies. It then progresses to further review what is currently obtainable in the Nigerian building industry. This then led to a process of addressing the applicability of lean tools within the Nigerian building industry. The results from the review reveal the potential for the application of lean tools within the industry. Sequel to this, the author proposes that Last Planner System of lean be implemented via action research within building industry of Nigeria. It is on the basis of this that further research is being proposed to address this concern
Factors associated with effects of COVID-19 vaccine among adults in Malaysia
No full textIntroduction: Globally, the needs for more focused research to understand the effects of COVID-19 vaccines among the population to verify the previous research and generate more reliable data. Therefore, this cross-sectional study was aimed to identify the factors associated with the effects of COVID-19 vaccination among adults in Malaysia. Methods: Malaysian people aged 18 and up were enrolled in a cross-sectional online survey. For data collection, a Google form was used to design an online questionnaire which was distributed through social media and in person by the author. Results: A total of 446 responses were analyzed. 58% participants received Pfizer BioNTech Covid 19 vaccine followed by Sinovac (21%) and AstraZeneca (16%). The most reported effect was local reaction pain, swelling and redness at the site of injection with 54.3% of participants. It was seen more in Pfizer BioNTech (56.8%) and AstraZeneca (57.1%) recipients in comparison to Sinovac recipients (42.9%), but this difference was not significant (x2=3.453; p-value=0.315). Tiredness/fatigue was the next most reported effect 51.3% by participants. The other more frequently reported effects were body pain (43.3%), muscle pain (41%), fever (41%) and headache (33%) respectively, which are significantly associated with the type of vaccine. 
Factors Associated with Effects of COVID-19 Vaccine Among Adults in Malaysia
No full textIntroduction: Globally, the needs for more focused research to understand the effects of COVID-19 vaccines among the population to verify the previous research and generate more reliable data. Therefore, this cross-sectional study was aimed to identify the factors associated with the effects of COVID-19 vaccination among adults in Malaysia. Methods: Malaysian people aged 18 and up were enrolled in a cross-sectional online survey. For data collection, a Google form was used to design an online questionnaire which was distributed through social media and in person by the author. Results: A total of 446 responses were analyzed. 58% participants received Pfizer BioNTech Covid 19 vaccine followed by Sinovac (21%) and AstraZeneca (16%). The most reported effect was local reaction pain, swelling and redness at the site of injection with 54.3% of participants. It was seen more in Pfizer BioNTech (56.8%) and AstraZeneca (57.1%) recipients in comparison to Sinovac recipients (42.9%), but this difference was not significant (x2=3.453; p-value=0.315). Tiredness/fatigue was the next most reported effect 51.3% by participants. The other more frequently reported effects were body pain (43.3%), muscle pain (41%), fever (41%) and headache (33%) respectively, which are significantly associated with the type of vaccine. 
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
No full textIn this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists' gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for orga-nizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed.Acknowledgements The project was funded by a research grant from INSEAD and was also supported by the Swiss National Science Foundation under grant number 143411
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
No full textIn this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed
