Detecting and Explaining Crisis

Individuals on social media may reveal themselves to be in various states of crisis (e.g. suicide, self-harm, abuse, or eating disorders). Detecting crisis from social media text automatically and accurately can have profound consequences. However, detecting a general state of crisis without explaining why has limited applications. An explanation in this context is a coherent, concise subset of the text that rationalizes the crisis detection. We explore several methods to detect and explain crisis using a combination of neural and non-neural techniques. We evaluate these techniques on a unique data set obtained from Koko, an anonymous emotional support network available through various messaging applications. We annotate a small subset of the samples labeled with crisis with corresponding explanations. Our best technique significantly outperforms the baseline for detection and explanation.Comment: Accepted at CLPsych, ACL workshop. 8 pages, 5 figure

“DESIGN AND MANUFACTURING OF PROTECTION CAP FOR STUB SHAFT USING PLASTIC INJECTION MOULDING”

In most industries, the product is manufactured at one place while assembled at another location. So, during transportation and handling, from manufacturing to assembly plant the part might get damaged, due to which it will not fit to assemble, leading to a big loss for the company. To avoid this, the part needs to be protected. By manufacturing of product using Plastic Injection Moulding (PIM), it will protect the part during transportation and handling. Considering strength as one of the important properties of the part, injection moulding is best suited for the mass production of plastic parts. Hence, injection moulding is most widely used in the local industries. This paper gives an insight into the Plastic Injection Moulding process from designing to manufacturing of the product, with certain process parameters that need to consider while designing for the selection of optimum material for the product

“Design And Manufacturing Of Protection Cap For Stub Shaft Using Plastic Injection Moulding”

In most industries, the product is manufactured at one place while assembled at another location. So, during transportation and handling, from manufacturing to assembly plant the part might get damaged, due to which it will not fit to assemble, leading to a big loss for the company. To avoid this, the part needs to be protected. By manufacturing of product using Plastic Injection Moulding (PIM), it will protect the part during transportation and handling. Considering strength as one of the important properties of the part, injection moulding is best suited for the mass production of plastic parts. Hence, injection moulding is most widely used in the local industries. This paper gives an insight into the Plastic Injection Moulding process from designing to manufacturing of the product, with certain process parameters that need to consider while designing for the selection of optimum material for the product

Conventional and frugal methods of estimating COVID-19-related excess deaths and undercount factors.

Across the world, the officially reported number of COVID-19 deaths is likely an undercount. Establishing true mortality is key to improving data transparency and strengthening public health systems to tackle future disease outbreaks. In this study, we estimated excess deaths during the COVID-19 pandemic in the Pune region of India. Excess deaths are defined as the number of additional deaths relative to those expected from pre-COVID-19-pandemic trends. We integrated data from: (a) epidemiological modeling using pre-pandemic all-cause mortality data, (b) discrepancies between media-reported death compensation claims and official reported mortality, and (c) the wisdom of crowds public surveying. Our results point to an estimated 14,770 excess deaths [95% CI 9820-22,790] in Pune from March 2020 to December 2021, of which 9093 were officially counted as COVID-19 deaths. We further calculated the undercount factor-the ratio of excess deaths to officially reported COVID-19 deaths. Our results point to an estimated undercount factor of 1.6 [95% CI 1.1-2.5]. Besides providing similar conclusions about excess deaths estimates across different methods, our study demonstrates the utility of frugal methods such as the analysis of death compensation claims and the wisdom of crowds in estimating excess mortality