The inverses of tails of the Riemann zeta function

We present some bounds of the inverses of tails of the Riemann zeta function on $0 < s < 1$ and compute the integer parts of the inverses of tails of the Riemann zeta function for $s=\frac{1}{2}, \frac{1}{3}$ and $\frac{1}{4}$.Comment: 12 page

Statistical Approach To Design For Fall Prevention In Construction

During the past decades, the construction industry has been considered as one of the most vulnerable field to work-related injuries and fatalities, and fall accidents are the leading causes accounting for about one-third of the total fatal injuries happened in construction. Furthermore, more than 30% of fall fatal cases occurred in the projects under $ 300K in Korea where construction workers\u27 safety and health are not usually considered as top priorities because the contractors, who are normally small sized construction firms or self-employed, do not have safety budget to deal with construction workers\u27 safety. In this respect, this study focused on designers\u27 role in terms of fall prevention in the construction industry because the previous researchers have discussed the effectiveness of the design for construction safety concept and publishes it as a major issue in famous journals. However, from designers\u27 perspective, the concept has been considered as an impractical approach mainly due to their shortage of required knowledge and ability to deal with. This study found that sufficient time and cost are required for designers to progress from the awareness of design\u27s role on construction safety to competent professionals from the history of the CDM regulations established in the United Kingdom. This study first identified the relationship between design and 1,587 fatal fall cases occurred in Korea partly adopting the methodology of previous research, and then analyzed the dependent variable (linkage to design)\u27s relationship with 7 independent variables using statistical tools, which include construction end use, project type, project cost, age, fall height, location of falls, and SIC code. The author assumed that these independent variables\u27 relationship with design would provide designers with significant indications in regard to hazard identification and design solution integration on which less-experienced designers have difficulties when applying the design for construction safety concept. The outcomes of the statistical analysis show 6 independent variables except age have significant linkage to design, and especially design\u27s relationships with location of falls and SIC code are strong. Designers can obtain great benefits from these results because some variables, such as construction end use, project type, and location of falls, can provide designers with practical approach to hazard identification and design solution integration.

Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach

We present a factor augmented forecasting model for assessing the financial vulnerability in Korea. Dynamic factor models often extract latent common factors from a large panel of time series data via the method of the principal components (PC). Instead, we employ the partial least squares (PLS) method that estimates target specific common factors, utilizing covariances between predictors and the target variable. Applying PLS to 198 monthly frequency macroeconomic time series variables and the Bank of Korea's Financial Stress Index (KFSTI), our PLS factor augmented forecasting models consistently outperformed the random walk benchmark model in out-of-sample prediction exercises in all forecast horizons we considered. Our models also outperformed the autoregressive benchmark model in short-term forecast horizons. We expect our models would provide useful early warning signs of the emergence of systemic risks in Korea's financial markets

Singapore's Housing Policies: 1960-2013

노트 : Title) Frontiers in Development Policy: Workshop on Innovative Development Case StudiesDate) November 21-22, 2013Venue) Hotel Shilla Seoul, Seoul, Republic of Korea (http://www.shilla.net/) 행사명 : Workshop on Innovative Development Case Studie